From d14e7e682078589cef1ac64c6ba05bdd5f586e2e Mon Sep 17 00:00:00 2001 From: weiglszonja Date: Fri, 28 Jun 2024 17:00:36 +0200 Subject: [PATCH 1/5] add tutorial for single wavelength session --- .../vu2024/tutorials/vu2024_tutorial.ipynb | 2901 +++++++++++++++++ 1 file changed, 2901 insertions(+) create mode 100644 src/howe_lab_to_nwb/vu2024/tutorials/vu2024_tutorial.ipynb diff --git a/src/howe_lab_to_nwb/vu2024/tutorials/vu2024_tutorial.ipynb b/src/howe_lab_to_nwb/vu2024/tutorials/vu2024_tutorial.ipynb new file mode 100644 index 0000000..17b269b --- /dev/null +++ b/src/howe_lab_to_nwb/vu2024/tutorials/vu2024_tutorial.ipynb @@ -0,0 +1,2901 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "40fecb66-e378-4345-a40a-d222cf43b536", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + } + }, + "source": [ + "# Vu 2024 demo\n", + "\n", + "\n", + "\n", + "This tutorial demonstrates how to access an NWB file from the Vu 2024 dataset using `pynwb`.\n", + "\n", + "This dataset contains fiber photometry recordings from multi-fiber arrays implanted in the striatum of head-fixed mice running on a treadmill.\n", + "\n", + "Contents:\n", + "\n", + "- [Read an NWB file](#read-nwb)\n", + "- [Access Subject metadata](#access-subject)\n", + "- [Access Imaging data](#access-imaging)\n", + "- [Access raw fiber photometry data](#access-fiber-photometry)\n", + "- [Access processed fiber photometry data](#access-processed-fiber-photometry)\n", + "- [Access motion corrected imaging data](#access-motion-corrected)\n", + "- [Access behavior](#access-behavior)\n" + ] + }, + { + "cell_type": "markdown", + "id": "04a836bb-be84-4c11-9ef0-e83d6b2d9e38", + "metadata": {}, + "source": [ + "# Reading an NWB file \n", + "\n", + "This section demonstrates how to read an NWB file using `pynwb`.\n", + "\n", + "An [NWBFile](https://pynwb.readthedocs.io/en/stable/pynwb.file.html#pynwb.file.NWBFile) represents a single session of an experiment. Each NWBFile must have a `session description`, `identifier`, and `session start time`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 265, + "id": "e83eb9d5-98ec-4e26-8b92-c900b8be2a5d", + "metadata": {}, + "outputs": [], + "source": [ + "from pynwb import NWBHDF5IO\n", + "\n", + "nwbfile_path = \"/Volumes/t7-ssd/Howe/nwbfiles/ROIs_GridDL-18_211110.nwb\"\n", + "\n", + "io = NWBHDF5IO(nwbfile_path, \"r\")\n", + "nwbfile = io.read()" + ] + }, + { + "cell_type": "markdown", + "id": "cd32fb84-5d37-4d65-a994-e0cb16819572", + "metadata": {}, + "source": [ + "# Access subject metadata \n", + "\n", + "This section demonstrates how to access the [Subject](https://pynwb.readthedocs.io/en/stable/pynwb.file.html#pynwb.file.Subject) field in an NWBFile.\n", + "\n", + "The [Subject](https://pynwb.readthedocs.io/en/stable/pynwb.file.html#pynwb.file.Subject) field can be accessed as `nwbfile.subject`." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "04afe225-06d3-4640-a4c9-9b8994be8a74", + "metadata": {}, + "outputs": [], + "source": [ + "nwbfile.subject" + ] + }, + { + "cell_type": "markdown", + "id": "493c3873-dcbb-49c2-b89b-5d6aff785168", + "metadata": {}, + "source": [ + "# Access imaging \n", + "\n", + "This section demonstrates how to access the imaging data in the NWBFile.\n", + "\n", + "`NWB` organizes data into different groups depending on the type of data. Groups can be thought of as folders within the file. Here are some of the groups within an NWBFile and the types of data they are intended to store:\n", + "\n", + "- `acquisition`: raw, acquired data that should never change\n", + "- `processing`: processed data, typically the results of preprocessing algorithms and could change\n", + "\n", + "## Fiber array imaging\n", + "\n", + "The two-photon imaging was acquired using HCImage Live (Hamamatsu) at 30 Hz. It is stored in a [pynwb.ophys.TwoPhotonSeries](https://pynwb.readthedocs.io/en/stable/pynwb.ophys.html#pynwb.ophys.TwoPhotonSeries) object which is added to `nwbfile.acquisition`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 190, + "id": "83dc0e1c-1fbf-46e3-b7a1-b45eb6c396e8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

TwoPhotonSeries

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description: Two-photon imaging acquired at 30 Hz with Hamamatsu microscope.
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imaging_plane
optical_channel
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description: An optical channel of the microscope.
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description: Imaging plane for the two-photon microscope.
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manufacturer: Hamamatsu Photonics
excitation_lambda: nan
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origin_coords_unit: meters
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" + ], + "text/plain": [ + "TwoPhotonSeries pynwb.ophys.TwoPhotonSeries at 0x13973916624\n", + "Fields:\n", + " comments: no comments\n", + " conversion: 1.0\n", + " data: \n", + " description: Two-photon imaging acquired at 30 Hz with Hamamatsu microscope.\n", + " dimension: \n", + " imaging_plane: ImagingPlane pynwb.ophys.ImagingPlane at 0x13975706832\n", + "Fields:\n", + " conversion: 1.0\n", + " description: Imaging plane for the two-photon microscope.\n", + " device: HamamatsuMicroscope pynwb.device.Device at 0x13973430288\n", + "Fields:\n", + " manufacturer: Hamamatsu Photonics\n", + "\n", + " excitation_lambda: nan\n", + " grid_spacing_unit: meters\n", + " indicator: unknown\n", + " location: unknown\n", + " optical_channel: (\n", + " OpticalChannel \n", + " )\n", + " origin_coords_unit: meters\n", + " unit: meters\n", + "\n", + " interval: 1\n", + " offset: 0.0\n", + " resolution: -1.0\n", + " timestamps: \n", + " timestamps_unit: seconds\n", + " unit: n.a." + ] + }, + "execution_count": 190, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "two_photon_series = nwbfile.acquisition[\"TwoPhotonSeries\"]\n", + "two_photon_series" + ] + }, + { + "cell_type": "markdown", + "id": "a90dcf46-76f5-4c8b-9bbe-abe5fe411ca7", + "metadata": {}, + "source": [ + "The information about the imaging plane can accessed as `nwbfile.acquisition[\"TwoPhotonSeries\"].imaging_plane` or `nwbfile.imaging_planes[\"ImagingPlane\"]`." + ] + }, + { + "cell_type": "code", + "execution_count": 191, + "id": "0027ce1b-4a88-4280-8258-ac7a4deedfae", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

ImagingPlane

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description: An optical channel of the microscope.
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" + ], + "text/plain": [ + "ImagingPlane pynwb.ophys.ImagingPlane at 0x13975706832\n", + "Fields:\n", + " conversion: 1.0\n", + " description: Imaging plane for the two-photon microscope.\n", + " device: HamamatsuMicroscope pynwb.device.Device at 0x13973430288\n", + "Fields:\n", + " manufacturer: Hamamatsu Photonics\n", + "\n", + " excitation_lambda: nan\n", + " grid_spacing_unit: meters\n", + " indicator: unknown\n", + " location: unknown\n", + " optical_channel: (\n", + " OpticalChannel \n", + " )\n", + " origin_coords_unit: meters\n", + " unit: meters" + ] + }, + "execution_count": 191, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nwbfile.imaging_planes[\"ImagingPlane\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 218, + "id": "c26d1d11-ab73-4e17-9ca2-87b7d91a7723", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize the imaging data.\n", + "\n", + "from matplotlib import pyplot as plt\n", + "\n", + "frame = two_photon_series.data[50]\n", + "plt.imshow(frame)\n", + "plt.title(\"Raw Fiber Array Imaging\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "38582f4c-da3a-4f13-9f17-0b4e42645c09", + "metadata": {}, + "source": [ + "# Fiber photometry traces\n", + "\n", + "The raw fluorescence traces from the multi-fiber array are added to `nwbfile.acquisition` and are stored in a `FiberPhotometryResponseSeries` object using [`ndx-fiber-photometry`](https://github.com/catalystneuro/ndx-fiber-photometry). The fluorescence data during 470 nm excitation can be accessed as `nwbfile.acquisition[\"FiberPhotometryResponseSeries\"]`." + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "3c9e8339-2147-408e-a417-804213d15c15", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

FiberPhotometryResponseSeries

resolution: -1.0
comments: no comments
description: Raw fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
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locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorallen_atlas_coordinatesis_good_fibercoordinatesemission_filterexcitation_filter
id
0CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
1CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
3CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n

... and 99 more rows.

" + ], + "text/plain": [ + "FiberPhotometryResponseSeries abc.FiberPhotometryResponseSeries at 0x13928735312\n", + "Fields:\n", + " comments: no comments\n", + " conversion: 1.0\n", + " data: \n", + " description: Raw fluorescence traces acquired with multi-fiber array implanted in the striatum.\n", + " fiber_photometry_table_region: fiber_photometry_table_region \n", + " interval: 1\n", + " offset: 0.0\n", + " resolution: -1.0\n", + " timestamps: \n", + " timestamps_unit: seconds\n", + " unit: n.a." + ] + }, + "execution_count": 105, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_response_series = nwbfile.acquisition[\"FiberPhotometryResponseSeries\"]\n", + "fiber_photometry_response_series" + ] + }, + { + "cell_type": "code", + "execution_count": 196, + "id": "fe10b8ed-3d01-4cb2-b4a4-a7ed83727b4f", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "from matplotlib import pyplot as plt\n", + "\n", + "# Prepare data for plotting\n", + "fiber_indices = [0, 4]\n", + "data = fiber_photometry_response_series.data[100:500, fiber_indices]\n", + "timestamps = fiber_photometry_response_series.get_timestamps()[100:500]\n", + "\n", + "fig, axes = plt.subplots(nrows=data.shape[1], ncols=1, figsize=(8, 3), sharey=True, sharex=True, dpi=300)\n", + "\n", + "for i, ax in enumerate(axes):\n", + " ax.plot(timestamps, data[:, i], linewidth=0.5, color=\"green\")\n", + "\n", + " ax.tick_params(axis='y', labelsize=8)\n", + " ax.tick_params(axis='x', labelsize=8)\n", + "\n", + " ax.legend([f\"Fiber {i+1}\"], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 8})\n", + "\n", + " ax.spines['top'].set_visible(False)\n", + " ax.spines['right'].set_visible(False)\n", + "\n", + "axes[0].spines['bottom'].set_visible(False)\n", + "axes[0].set_title(\"Raw fluorescence traces\", fontsize=8)\n", + "plt.xlabel('Time (s)', fontsize=8)\n", + "plt.tick_params(axis='x', labelsize=8)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "d2c9a4c0-4931-4080-8484-39ad18847329", + "metadata": {}, + "source": [ + "## Fiber photometry metadata\n", + "\n", + "The fiber photometry metadata includes the type of indicator(s), optical fiber(s), excitation source(s), photodector(s), dichroic mirror(s), and optical filter(s) that were used to construct a single fluorescence signal.\n", + "\n", + "The metadata is stored in a `FiberPhotometryTable` object using [`ndx-fiber-photometry`](https://github.com/catalystneuro/ndx-fiber-photometry) and is added to `nwbfile.lab_meta_data`. It can be accessed as `nwbfile.lab_meta_data[\"FiberPhotometry\"].fiber_photometry_table`." + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "e3d6f7f9-be99-47bc-be92-731e38843c2c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorallen_atlas_coordinatesis_good_fibercoordinatesemission_filterexcitation_filter
id
0CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFie...FiberArray abc.OpticalFiber at 0x5627423760\\nF...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x5625069328\\n...DichroicMirror1 abc.DichroicMirror at 0x139289...[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x56...OpticalFilter470 abc.BandOpticalFilter at 0x56...
1CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFie...FiberArray abc.OpticalFiber at 0x5627423760\\nF...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x5625069328\\n...DichroicMirror1 abc.DichroicMirror at 0x139289...[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x56...OpticalFilter470 abc.BandOpticalFilter at 0x56...
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x13930416784\\nFie...FiberArray abc.OpticalFiber at 0x5627423760\\nF...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x5625069328\\n...DichroicMirror1 abc.DichroicMirror at 0x139289...[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x56...OpticalFilter470 abc.BandOpticalFilter at 0x56...
3CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFie...FiberArray abc.OpticalFiber at 0x5627423760\\nF...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x5625069328\\n...DichroicMirror1 abc.DichroicMirror at 0x139289...[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x56...OpticalFilter470 abc.BandOpticalFilter at 0x56...
4Primary motor area Layer 6adLight1.3b abc.Indicator at 0x13930416784\\nFie...FiberArray abc.OpticalFiber at 0x5627423760\\nF...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x5625069328\\n...DichroicMirror1 abc.DichroicMirror at 0x139289...[400, 686, 160]True[1.25, 1.16, 1.17]OpticalFilter525 abc.BandOpticalFilter at 0x56...OpticalFilter470 abc.BandOpticalFilter at 0x56...
....................................
98CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFie...FiberArray abc.OpticalFiber at 0x5627423760\\nF...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x5625069328\\n...DichroicMirror1 abc.DichroicMirror at 0x139289...[433, 775, 249]True[0.92, 2.05, 1.96]OpticalFilter525 abc.BandOpticalFilter at 0x56...OpticalFilter470 abc.BandOpticalFilter at 0x56...
99CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFie...FiberArray abc.OpticalFiber at 0x5627423760\\nF...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x5625069328\\n...DichroicMirror1 abc.DichroicMirror at 0x139289...[444, 815, 381]True[0.81, 2.45, 3.12]OpticalFilter525 abc.BandOpticalFilter at 0x56...OpticalFilter470 abc.BandOpticalFilter at 0x56...
100CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFie...FiberArray abc.OpticalFiber at 0x5627423760\\nF...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x5625069328\\n...DichroicMirror1 abc.DichroicMirror at 0x139289...[457, 833, 280]True[0.68, 2.63, 2.23]OpticalFilter525 abc.BandOpticalFilter at 0x56...OpticalFilter470 abc.BandOpticalFilter at 0x56...
101Primary somatosensory area mouth layer 6adLight1.3b abc.Indicator at 0x13930416784\\nFie...FiberArray abc.OpticalFiber at 0x5627423760\\nF...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x5625069328\\n...DichroicMirror1 abc.DichroicMirror at 0x139289...[482, 821, 396]True[0.43, 2.51, 3.25]OpticalFilter525 abc.BandOpticalFilter at 0x56...OpticalFilter470 abc.BandOpticalFilter at 0x56...
102Primary motor area Layer 2/3dLight1.3b abc.Indicator at 0x13930416784\\nFie...FiberArray abc.OpticalFiber at 0x5627423760\\nF...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x5625069328\\n...DichroicMirror1 abc.DichroicMirror at 0x139289...[396, 791, 209]True[1.29, 2.21, 1.6]OpticalFilter525 abc.BandOpticalFilter at 0x56...OpticalFilter470 abc.BandOpticalFilter at 0x56...
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103 rows × 11 columns

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dLight1.3b abc.Indicator at 0x13930416784\\nFie... \n", + "\n", + " optical_fiber \\\n", + "id \n", + "0 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", + "1 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", + "2 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", + "3 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", + "4 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", + ".. ... \n", + "98 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", + "99 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", + "100 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", + "101 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", + "102 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", + "\n", + " excitation_source \\\n", + "id \n", + "0 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "1 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "2 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "3 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "4 ExcitationSource470 abc.ExcitationSource at 0x... \n", + ".. ... \n", + "98 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "99 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "100 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "101 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "102 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "\n", + " photodetector \\\n", + "id \n", + "0 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", + "1 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", + "2 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", + "3 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", + "4 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", + ".. ... \n", + "98 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", + "99 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", + "100 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", + "101 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", + "102 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", + "\n", + " dichroic_mirror \\\n", + "id \n", + "0 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", + "1 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", + "2 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", + "3 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", + "4 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", + ".. ... \n", + "98 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", + "99 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", + "100 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", + "101 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", + "102 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", + "\n", + " allen_atlas_coordinates is_good_fiber coordinates \\\n", + "id \n", + "0 [442, 644, 229] True [0.83, 0.74, 1.78] \n", + "1 [454, 642, 304] True [0.71, 0.72, 2.44] \n", + "2 [460, 674, 180] True [0.65, 1.04, 1.35] \n", + "3 [495, 685, 260] True [0.3, 1.15, 2.05] \n", + "4 [400, 686, 160] True [1.25, 1.16, 1.17] \n", + ".. ... ... ... \n", + "98 [433, 775, 249] True [0.92, 2.05, 1.96] \n", + "99 [444, 815, 381] True [0.81, 2.45, 3.12] \n", + "100 [457, 833, 280] True [0.68, 2.63, 2.23] \n", + "101 [482, 821, 396] True [0.43, 2.51, 3.25] \n", + "102 [396, 791, 209] True [1.29, 2.21, 1.6] \n", + "\n", + " emission_filter \\\n", + "id \n", + "0 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", + "1 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", + "2 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", + "3 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", + "4 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", + ".. ... \n", + "98 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", + "99 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", + "100 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", + "101 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", + "102 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", + "\n", + " excitation_filter \n", + "id \n", + "0 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", + "1 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", + "2 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", + "3 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", + "4 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", + ".. ... \n", + "98 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", + "99 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", + "100 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", + "101 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", + "102 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", + "\n", + "[103 rows x 11 columns]" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nwbfile.lab_meta_data[\"FiberPhotometry\"].fiber_photometry_table[:]" + ] + }, + { + "cell_type": "markdown", + "id": 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locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorallen_atlas_coordinatesis_good_fibercoordinatesemission_filterexcitation_filter
id
0CaudoputamendLight1.3b abc.Indicator at 0x13948034640\\nFie...FiberArray abc.OpticalFiber at 0x13929973712\\n...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x13958077328\\...DichroicMirror1 abc.DichroicMirror at 0x139034...[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x13...OpticalFilter470 abc.BandOpticalFilter at 0x13...
1CaudoputamendLight1.3b abc.Indicator at 0x13948034640\\nFie...FiberArray abc.OpticalFiber at 0x13929973712\\n...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x13958077328\\...DichroicMirror1 abc.DichroicMirror at 0x139034...[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x13...OpticalFilter470 abc.BandOpticalFilter at 0x13...
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x13948034640\\nFie...FiberArray abc.OpticalFiber at 0x13929973712\\n...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x13958077328\\...DichroicMirror1 abc.DichroicMirror at 0x139034...[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x13...OpticalFilter470 abc.BandOpticalFilter at 0x13...
3CaudoputamendLight1.3b abc.Indicator at 0x13948034640\\nFie...FiberArray abc.OpticalFiber at 0x13929973712\\n...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x13958077328\\...DichroicMirror1 abc.DichroicMirror at 0x139034...[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x13...OpticalFilter470 abc.BandOpticalFilter at 0x13...
4Primary motor area Layer 6adLight1.3b abc.Indicator at 0x13948034640\\nFie...FiberArray abc.OpticalFiber at 0x13929973712\\n...ExcitationSource470 abc.ExcitationSource at 0x...CMOSCamera abc.Photodetector at 0x13958077328\\...DichroicMirror1 abc.DichroicMirror at 0x139034...[400, 686, 160]True[1.25, 1.16, 1.17]OpticalFilter525 abc.BandOpticalFilter at 0x13...OpticalFilter470 abc.BandOpticalFilter at 0x13...
\n", + "
" + ], + "text/plain": [ + " location \\\n", + "id \n", + "0 Caudoputamen \n", + "1 Caudoputamen \n", + "2 Primary motor area Layer 6a \n", + "3 Caudoputamen \n", + "4 Primary motor area Layer 6a \n", + "\n", + " indicator \\\n", + "id \n", + "0 dLight1.3b abc.Indicator at 0x13948034640\\nFie... \n", + "1 dLight1.3b abc.Indicator at 0x13948034640\\nFie... \n", + "2 dLight1.3b abc.Indicator at 0x13948034640\\nFie... \n", + "3 dLight1.3b abc.Indicator at 0x13948034640\\nFie... \n", + "4 dLight1.3b abc.Indicator at 0x13948034640\\nFie... \n", + "\n", + " optical_fiber \\\n", + "id \n", + "0 FiberArray abc.OpticalFiber at 0x13929973712\\n... \n", + "1 FiberArray abc.OpticalFiber at 0x13929973712\\n... \n", + "2 FiberArray abc.OpticalFiber at 0x13929973712\\n... \n", + "3 FiberArray abc.OpticalFiber at 0x13929973712\\n... \n", + "4 FiberArray abc.OpticalFiber at 0x13929973712\\n... \n", + "\n", + " excitation_source \\\n", + "id \n", + "0 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "1 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "2 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "3 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "4 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "\n", + " photodetector \\\n", + "id \n", + "0 CMOSCamera abc.Photodetector at 0x13958077328\\... \n", + "1 CMOSCamera abc.Photodetector at 0x13958077328\\... \n", + "2 CMOSCamera abc.Photodetector at 0x13958077328\\... \n", + "3 CMOSCamera abc.Photodetector at 0x13958077328\\... \n", + "4 CMOSCamera abc.Photodetector at 0x13958077328\\... \n", + "\n", + " dichroic_mirror allen_atlas_coordinates \\\n", + "id \n", + "0 DichroicMirror1 abc.DichroicMirror at 0x139034... [442, 644, 229] \n", + "1 DichroicMirror1 abc.DichroicMirror at 0x139034... [454, 642, 304] \n", + "2 DichroicMirror1 abc.DichroicMirror at 0x139034... [460, 674, 180] \n", + "3 DichroicMirror1 abc.DichroicMirror at 0x139034... [495, 685, 260] \n", + "4 DichroicMirror1 abc.DichroicMirror at 0x139034... [400, 686, 160] \n", + "\n", + " is_good_fiber coordinates \\\n", + "id \n", + "0 True [0.83, 0.74, 1.78] \n", + "1 True [0.71, 0.72, 2.44] \n", + "2 True [0.65, 1.04, 1.35] \n", + "3 True [0.3, 1.15, 2.05] \n", + "4 True [1.25, 1.16, 1.17] \n", + "\n", + " emission_filter \\\n", + "id \n", + "0 OpticalFilter525 abc.BandOpticalFilter at 0x13... \n", + "1 OpticalFilter525 abc.BandOpticalFilter at 0x13... \n", + "2 OpticalFilter525 abc.BandOpticalFilter at 0x13... \n", + "3 OpticalFilter525 abc.BandOpticalFilter at 0x13... \n", + "4 OpticalFilter525 abc.BandOpticalFilter at 0x13... \n", + "\n", + " excitation_filter \n", + "id \n", + "0 OpticalFilter470 abc.BandOpticalFilter at 0x13... \n", + "1 OpticalFilter470 abc.BandOpticalFilter at 0x13... \n", + "2 OpticalFilter470 abc.BandOpticalFilter at 0x13... \n", + "3 OpticalFilter470 abc.BandOpticalFilter at 0x13... \n", + "4 OpticalFilter470 abc.BandOpticalFilter at 0x13... " + ] + }, + "execution_count": 311, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region = nwbfile.acquisition[\"FiberPhotometryResponseSeries\"].fiber_photometry_table_region[:]\n", + "fiber_photometry_table_region.head()" + ] + }, + { + "cell_type": "markdown", + "id": "9636c8e1-123a-47f3-8d2e-517d6e4b3ff1", + "metadata": {}, + "source": [ + "The metadata on the optical fiber used to record the GCaMP fluorescence is added to `nwbfile.devices` and can be acessed as `nwbfile.devices[\"Fiber1\"]` or can be accessed from the referenced optical fiber in the `fiber_photometry_table_region` of the `FiberPhotometryResponseSeries`." + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "f8646f84-a5d2-4caa-922f-dd940048ba3d", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

FiberArray (OpticalFiber)

description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.
manufacturer: Fiber Optics Tech
model: not specified
numerical_aperture: 0.66
core_diameter_in_um: 34.0
" + ], + "text/plain": [ + "FiberArray abc.OpticalFiber at 0x5627423760\n", + "Fields:\n", + " core_diameter_in_um: 34.0\n", + " description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\n", + " manufacturer: Fiber Optics Tech\n", + " model: not specified\n", + " numerical_aperture: 0.66" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"optical_fiber\"][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "484e638b-12b9-47b2-9d5b-34d4943ccabe", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

dLight1.3b (Indicator)

description: green dopamine sensor
label: pAAV-CAG-dLight1.3b(AAV5)
" + ], + "text/plain": [ + "dLight1.3b abc.Indicator at 0x13930416784\n", + "Fields:\n", + " description: green dopamine sensor\n", + " label: pAAV-CAG-dLight1.3b(AAV5)" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"indicator\"][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "301fdede-cdb0-4fb3-a743-3e3736c44831", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

ExcitationSource470 (ExcitationSource)

description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\n", + "were coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\n", + "Then, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\n", + "each filtered with a corresponding filter.\n", + "
manufacturer: Thorlabs
model: SOLIS-470C
illumination_type: LED
excitation_wavelength_in_nm: 470.0
" + ], + "text/plain": [ + "ExcitationSource470 abc.ExcitationSource at 0x13930225552\n", + "Fields:\n", + " description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\n", + "were coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\n", + "Then, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\n", + "each filtered with a corresponding filter.\n", + "\n", + " excitation_wavelength_in_nm: 470.0\n", + " illumination_type: LED\n", + " manufacturer: Thorlabs\n", + " model: SOLIS-470C" + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"excitation_source\"][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "d19110e0-3796-4d89-8b23-83233e570e99", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

CMOSCamera (Photodetector)

description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.
manufacturer: Hamamatsu Photonics
model: Orca Fusion BT Gen III
detector_type: CMOS sensor
detected_wavelength_in_nm: 525.0
" + ], + "text/plain": [ + "CMOSCamera abc.Photodetector at 0x5625069328\n", + "Fields:\n", + " description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\n", + " detected_wavelength_in_nm: 525.0\n", + " detector_type: CMOS sensor\n", + " manufacturer: Hamamatsu Photonics\n", + " model: Orca Fusion BT Gen III" + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"photodetector\"][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "206bb1f2-269d-4531-93f2-0801ddb6023a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

DichroicMirror1 (DichroicMirror)

description: The dichroic mirror used to reflect green and pass red fluorescence
manufacturer: Chroma Tech Corp
cut_on_wavelength_in_nm: 532.0
reflection_band_in_nm
[405. 532.]
transmission_band_in_nm
[545. 750.]
model: ZT532rdc
" + ], + "text/plain": [ + "DichroicMirror1 abc.DichroicMirror at 0x13928936656\n", + "Fields:\n", + " cut_on_wavelength_in_nm: 532.0\n", + " description: The dichroic mirror used to reflect green and pass red fluorescence\n", + " manufacturer: Chroma Tech Corp\n", + " model: ZT532rdc\n", + " reflection_band_in_nm: [405. 532.]\n", + " transmission_band_in_nm: [545. 750.]" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"dichroic_mirror\"][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "625148f9-3f99-41d7-acf0-b09e7afac56d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

OpticalFilter525 (BandOpticalFilter)

description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.
manufacturer: Chroma
center_wavelength_in_nm: 525.0
bandwidth_in_nm: 50.0
filter_type: Bandpass
model: 525/50m
" + ], + "text/plain": [ + "OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\n", + "Fields:\n", + " bandwidth_in_nm: 50.0\n", + " center_wavelength_in_nm: 525.0\n", + " description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\n", + " filter_type: Bandpass\n", + " manufacturer: Chroma\n", + " model: 525/50m" + ] + }, + "execution_count": 113, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"emission_filter\"][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "c3a4d6cf-f2f6-4ca5-a05e-398b2a070291", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

OpticalFilter470 (BandOpticalFilter)

description: The band-pass filter used to isolate the 470 nm excitation light.
manufacturer: Chroma
center_wavelength_in_nm: 473.0
bandwidth_in_nm: 24.0
filter_type: Bandpass
model: ET473/24
" + ], + "text/plain": [ + "OpticalFilter470 abc.BandOpticalFilter at 0x5626173328\n", + "Fields:\n", + " bandwidth_in_nm: 24.0\n", + " center_wavelength_in_nm: 473.0\n", + " description: The band-pass filter used to isolate the 470 nm excitation light.\n", + " filter_type: Bandpass\n", + " manufacturer: Chroma\n", + " model: ET473/24" + ] + }, + "execution_count": 114, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"excitation_filter\"][0]" + ] + }, + { + "cell_type": "markdown", + "id": "57e457a1-28d5-4451-9666-a058f826b7f4", + "metadata": {}, + "source": [ + "# Access processed fiber photometry data \n", + "\n", + "This section demonstrates how to access the processed fiber photometry data in the NWBFile.\n", + "\n", + "The processed fiber photometry data is stored in \"processing/ophys\" which can be accessed as `nwbfile.processing[\"ophys\"]`. Within this processing module we can access the ∆F/F traces as `nwbfile.processing[\"ophys\"][\"DfOverFFiberPhotometryResponseSeries\"]`." + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "id": "94b788b7-9f26-4480-b89e-e3b17379ebed", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

ophys (ProcessingModule)

description: No description.
data_interfaces
BaselineFiberPhotometryResponseSeries
resolution: -1.0
comments: no comments
description: Baseline fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorallen_atlas_coordinatesis_good_fibercoordinatesemission_filterexcitation_filter
id
0CaudoputamendLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
1CaudoputamendLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
3CaudoputamendLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n

... and 99 more rows.

DfOverFFiberPhotometryResponseSeries
resolution: -1.0
comments: no comments
description: Baseline corrected (DF/F) fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
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locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorallen_atlas_coordinatesis_good_fibercoordinatesemission_filterexcitation_filter
id
0CaudoputamendLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
1CaudoputamendLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
3CaudoputamendLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n

... and 99 more rows.

ImageSegmentation
plane_segmentations
PlaneSegmentation
description: Segmented ROIs
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: nan
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: nan
indicator: unknown
location: unknown
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
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image_maskROICentroidsAcceptedRejected
id
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TwoPhotonSeriesMotionCorrected
starting_time: 0.0
rate: 29.994900866852635
resolution: -1.0
comments: no comments
description: The motion corrected two-photon imaging data.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
dimension
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: nan
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: nan
indicator: unknown
location: unknown
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" + ], + "text/plain": [ + "ophys pynwb.base.ProcessingModule at 0x13957360272\n", + "Fields:\n", + " data_interfaces: {\n", + " BaselineFiberPhotometryResponseSeries ,\n", + " DfOverFFiberPhotometryResponseSeries ,\n", + " ImageSegmentation ,\n", + " TwoPhotonSeriesMotionCorrected \n", + " }\n", + " description: No description." + ] + }, + "execution_count": 198, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nwbfile.processing[\"ophys\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "id": "6557281b-9bd0-40df-a084-766db3497133", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

DfOverFFiberPhotometryResponseSeries (FiberPhotometryResponseSeries)

resolution: -1.0
comments: no comments
description: Baseline corrected (DF/F) fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
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locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorallen_atlas_coordinatesis_good_fibercoordinatesemission_filterexcitation_filter
id
0CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
1CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
3CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n

... and 99 more rows.

" + ], + "text/plain": [ + "DfOverFFiberPhotometryResponseSeries abc.FiberPhotometryResponseSeries at 0x5634051536\n", + "Fields:\n", + " comments: no comments\n", + " conversion: 1.0\n", + " data: \n", + " description: Baseline corrected (DF/F) fluorescence traces acquired with multi-fiber array implanted in the striatum.\n", + " fiber_photometry_table_region: fiber_photometry_table_region \n", + " interval: 1\n", + " offset: 0.0\n", + " resolution: -1.0\n", + " timestamps: \n", + " timestamps_unit: seconds\n", + " unit: n.a." + ] + }, + "execution_count": 137, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_over_f_traces = nwbfile.processing[\"ophys\"][\"DfOverFFiberPhotometryResponseSeries\"]\n", + "df_over_f_traces" + ] + }, + { + "cell_type": "code", + "execution_count": 221, + "id": "8377268e-e3ea-452b-ae52-78d0da2b70d9", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize the DF/F traces.\n", + "\n", + "import pandas as pd\n", + "from matplotlib import pyplot as plt\n", + "\n", + "# Prepare data for plotting\n", + "data = df_over_f_traces.data[100:500, :5]\n", + "timestamps = df_over_f_traces.get_timestamps()[100:500]\n", + "\n", + "fig, axes = plt.subplots(nrows=data.shape[1], ncols=1, figsize=(6, 4), sharey=True, sharex=True, dpi=300)\n", + "\n", + "for i, ax in enumerate(axes):\n", + " ax.plot(timestamps, data[:, i], linewidth=0.5, color=\"green\")\n", + "\n", + " ax.tick_params(axis='y', labelsize=6)\n", + " ax.tick_params(axis='x', labelsize=6)\n", + "\n", + " ax.legend([f\"∆F/F Fiber {i+1}\"], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 6})\n", + "\n", + " ax.spines['top'].set_visible(False)\n", + " ax.spines['right'].set_visible(False)\n", + " if i != data.shape[1] - 1:\n", + " ax.spines['bottom'].set_visible(False)\n", + "\n", + "axes[0].set_title(\"DF/F Fluorescence traces\", fontsize=6)\n", + "plt.xlabel('Time (s)', fontsize=6)\n", + "plt.tick_params(axis='x', labelsize=6)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "1589231d-faf4-418a-8dfb-02aef9d37452", + "metadata": {}, + "source": [ + "# Access motion corrected imaging data \n", + "\n", + "This section demonstrates how to access the motion corrected imaging data in the NWBFile.\n", + "\n", + "Similarly to the raw imaging data, the processed imaging data is stored in a [pynwb.ophys.TwoPhotonSeries](https://pynwb.readthedocs.io/en/stable/pynwb.ophys.html#pynwb.ophys.TwoPhotonSeries) object and is added to `nwbfile.processing[\"ophys\"]`." + ] + }, + { + "cell_type": "code", + "execution_count": 199, + "id": "6e9d5f70-b569-43ad-aa32-41fd434d4ae5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

TwoPhotonSeriesMotionCorrected (TwoPhotonSeries)

starting_time: 0.0
rate: 29.994900866852635
resolution: -1.0
comments: no comments
description: The motion corrected two-photon imaging data.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
dimension
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: nan
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: nan
indicator: unknown
location: unknown
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" + ], + "text/plain": [ + "TwoPhotonSeriesMotionCorrected pynwb.ophys.TwoPhotonSeries at 0x13923598992\n", + "Fields:\n", + " comments: no comments\n", + " conversion: 1.0\n", + " data: \n", + " description: The motion corrected two-photon imaging data.\n", + " dimension: \n", + " imaging_plane: ImagingPlane pynwb.ophys.ImagingPlane at 0x13975706832\n", + "Fields:\n", + " conversion: 1.0\n", + " description: Imaging plane for the two-photon microscope.\n", + " device: HamamatsuMicroscope pynwb.device.Device at 0x13973430288\n", + "Fields:\n", + " manufacturer: Hamamatsu Photonics\n", + "\n", + " excitation_lambda: nan\n", + " grid_spacing_unit: meters\n", + " indicator: unknown\n", + " location: unknown\n", + " optical_channel: (\n", + " OpticalChannel \n", + " )\n", + " origin_coords_unit: meters\n", + " unit: meters\n", + "\n", + " offset: 0.0\n", + " rate: 29.994900866852635\n", + " resolution: -1.0\n", + " starting_time: 0.0\n", + " starting_time_unit: seconds\n", + " unit: n.a." + ] + }, + "execution_count": 199, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "motion_corrected = nwbfile.processing[\"ophys\"][\"TwoPhotonSeriesMotionCorrected\"]\n", + "motion_corrected" + ] + }, + { + "cell_type": "code", + "execution_count": 211, + "id": "d8135042-1421-4676-9303-c9b903582fec", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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/85//3K+//vqxfHTcPPWpT/XLly/P0g/9MfS1hQsX+nnz5iX18pa3vEWl/8tf/nLsKwD8ggUL/Jw5czwAv+mmmybpa3l3jYUPfOAD3jnnnXN+0aJFsT0A+D333FMsl/fev+Utb0nKsWjRolgnu+22m/9//+//xTwMBoPBYDAYNAS+ZKuttvLD4dBvvfXWHoD//ve/n4V92cte5gH4d7/73QmfF3hSiuuuu87vsMMOCd++cOHCRG75+Mc/nsT54Ac/6DfeeOMoG6y77rp+4403Tj4UJT5znPwDAg/+iU98wj/pSU+K8RcsWJDwlp/73OfqK7rB2WefHdP4/Oc/3zs+xUc+8pGEd1y4cGHCuz7mMY/xN9xwQxaP8qknnXRSTCPED7If5Vnf/OY3J/Lb1NSUP+6442Ka48pp3nt/8803+9122y3jbWl9H3jggd5776+55hq/8cYbx7TXWmutrI+cddZZSfpnnHGGnz17diJzz507N/5fZ511/Pnnny/Sdt555yVxuTzwn//5n517BBq6ZCUJQY6kdR8Q+u1HPvIRv80228R6X3fddZN+r/Xb6elp//rXvz5phwULFvipqan4f5tttvFXXXVVFjfscxxxxBH+4IMPjnkFWf+UU07pUTMjvP/97/cA/DOf+cz47IgjjvAA/Ote9zo13pVXXhnp/cIXvhD70bx58/z8+fOjfNZnj2DcfZwwhh75yEf64XCo0hzmmaOPPrpXHQW6JJmTjvPPfOYzfjAYRJmYtvHb3/527733//Iv/xLbjYf51Kc+JeYf+mPoa+uvv36yt7Nw4UJ1n2H58uX+0EMPTeZUujf0whe+MJZP2o+qGQvjzuE33nij32677ZL5LMxvzjn/qU99KuYxTt82GAzjwxSxBoPB8CBAjSJ2r732iszZLbfckr1/z3ve4z/4wQ/6Sy+91C9btsx7PxJ4LrvsMv/iF7/YAyNF1PXXX5/E+/Wvfx2Z4ltvvTV59/KXvzwKDAD8V77yleT95z//eZU578KKUMQGpv61r32tv+mmm7z33t9xxx3+Pe95T9wEeNOb3pTF/93vfhcF5qOPPtr/4Q9/iEqqq6++2r/mNa+JghFXglMha8GCBX6//fbzf/zjH+P7K664orJGWrz3ve/1APwznvGM+Gw4HMY6O/vss9W4QWhYsGCBX7BggT/llFOigvOWW26JbRzSWrBggd9kk038V77yFf/AAw94772/9tpr/d133+299/5nP/uZf+UrX+m/853v+DvuuCPmc+utt/qPfexjsW987GMfy2jZd999o9Cs4XGPe1xssz6oVcQuWrTI77TTTv6nP/2p9977Bx54wJ955plRafra177Wb7XVVn6vvfbyl112mffe+3vvvdd/4hOfiBsDn/nMZ7L0v/rVr/p//ud/9j/60Y9iXXnv/Q033OBPOOGEKGx/7Wtfy+L+5S9/ifk/7nGP87/85S+996M2/s53vuO32morv3jxYnVOqBkLixYt8oPBwB977LH+5ptv9t6PxkIQggGIwuGZZ54Z37/oRS/y1113XayTT3/6037OnDmRNlPEGgwGg8FgKIEqYr0fySsS/3/XXXf5BQsW+MFg4K+55pqiInb58uVx83vhwoX+jDPOiEaKf/nLX/xznvOcKDN961vfymiq3eDW+MxJ5b948WK/2Wab+a9+9auRB7/88sv9k5/85Mij33777UUaOV75yldGuY7y7X3xjW98I1FSBoPb+++/359++unRKPMpT3lKZtgX+NQ5c+b4qakp/5KXvMRfc8013vtR3f35z3/23rd9IygvjjnmmCi/3XfffVEhNxM5bdmyZf6pT31qVGadeOKJMQ/vvb/++uv9ySef7I899tgkHlUSl3DBBRf4wWDgZ82a5d/2trf5K6+80g+HQz8cDv3ll1/un/e850VZ+uqrr07iXnvttVGOesxjHuN/9rOfee9H8vt5553nN99880T53BcrShG7cOFCv3jxYn/22WfHPYc//OEPMe6sWbP8r371qyz+O9/5Tg/Ab7TRRv7f//3fo0z6wAMP+IsvvtjvvPPOUTbiBr5BYbZgwQI/a9Ys/6EPfSj276VLl4oGAV145CMf6YHUYOHCCy/0APx6662nGm9TReyCBQv8k570pKTf/e///q/3vt8ewbj7OMF4G4C/6KKLRHp/97vfRTqCzFmLGkXsvHnz/Nprr+1f//rXx7F16623xriDwcCfeOKJfmpqyr/3ve+Nc9oNN9wQ9wrmz58vznVveMMb/L//+7/7K664IvaJZcuW+Z/97Gcx7kMe8hDRmDso2gH4N7/5zXH/7I477vDve9/7omJ2JorYcefwQPvcuXP95z73udjXrrnmGn/ooYf6tddeO+4VmCLWYFi5MEWswWAwPAhQUsReffXV/uijj47v/+Ef/mGsPPbff38PwL/nPe9Jnk9PT/v11lvPA/Bf+tKXkncPe9jDPICovOHWoS996Us9AP+Sl7ykNz2BgZ0zZ05maRw+VBFZo3wC4A8//HAxvyD8zZo1KxNigpKbC+EUwYI3WEwHUCHriU98ouplWIvhcOgf/vCHewD+9NNPT9694x3v8AD8vvvuq8anlqNf//rX1XCh/qempvyvf/3rsek955xzPAC/9dZbZ++++tWvRiGDe1N77/0vf/nLSOvvfve7XvnWKmI33nhj0XDhXe96Vwyz/fbbi8L24YcfninEa/HBD35QjRsMHDbaaKPM+MH7kQBHreM5aseCJDh67/1zn/tcD8DvvffeyfPhcOgf8YhHeGBkHS5ZVlNPXVPEGgwGg8FgKIErYq+55ho/GAz8/Pnz/dKlS2O44PkXvNNKitizzjorvpM8DZctWxYVpTvssEP2fqaK2EnlP3v27EQxE3DTTTdFr8gzzjijSCPH0572NA+MPORmgm233dYD8E9/+tNF2ebrX/96rINzzjkneUd5xec+97lqHpRnffOb36yGm4mc9tnPfjYqxb/5zW+q8TXaSrzu9PR0VOadfPLJarh/+Id/8AD8G97whuT5q1/9ag/Ar7/++v7GG2/M4l166aWJB3Jf0DG0ePFiVd7+9Kc/HePUKJ8A+O9+97vZ+3vuuSfWx3777Ze8u/LKK/3U1JSfO3euv+SSS0R677zzzniKETf+ph6jmqd5H3z/+9/3wMhbmRrUDodDv8UWW3gAmeczLUugZauttkrmMYpJ7hFo+zjee3/QQQd5AP4FL3iBGPe1r31tVHD3RY0iFoA/6qijsvfLly+Pe0kA/Hvf+94szB133BG9z/t68C9fvtw/5jGPEePedddd0cjh5S9/uRifzj/jKmLHmcN/+MMfxnylMk9PT/s999wzhjFFrMGwcmF3xBoMBsODDJtsskn8zJ8/H1tttRU+85nPAAAe/ehH45Of/ORY6e6///4ARvcvUQwGA+y+++4AgIsuuig+v/rqq3HllVfikY98JI444ojsPTC68wcA9txzz7FoAkb3K914443i55Zbbumd3r/8y7+Iz9/61rdi7ty5WL58Ob70pS/F51dddRUuuugizJo1S7wnNyDUwXe/+131rtm3vvWtmJqa6k0zxfe+9z389a9/xYIFC/Dc5z5XpOGCCy7AtddeW0xn++23xwEHHNCZ37777oudd955bHpDv/rLX/6CJUuWJO+e85znYPPNN8e9994r3j0V+vWuu+6KHXfccWwaSjj66KOx/vrrZ8/32Wef+PvNb36zeH9WCPO73/2ud76hXn7yk58k/cV7H/vfq1/9aqy33npZ3G222QbPf/7ze+dJMXv2bLU/H3jggQDycl1yySX485//DAD4f//v/4n30x555JHYcsstZ0SbwWAwGAyGBye22GIL7L333rj77rtx9tlnx+ennHIKAOBlL3tZZxrhTsFdd90Vz3rWs7L3s2bNwnHHHQcAuOyyy3DppZdOgvSJ53/IIYfg0Y9+dPZ8ww03xK677gqgPw966623AoDIX9bid7/7Hf74xz8CAN75zneKss0BBxyAJz7xiQCAM888U03r2GOP7cxvMBjgmGOOEd/NVE77z//8TwDAfvvth/3226+Tlj74wQ9+gD/96U/YYIMNcNRRR3XSdv7558dn3vvYj171qldho402yuLtsMMOOOSQQyZC62233abK23fffXevtJ761KfiGc94RvZ87ty58X7ib3/727jjjjviu1NPPRXT09PYd9998djHPlZMd5111sFBBx0EIK0risWLF+OVr3xlL3olhLtLDz74YMybNy8+d87h8MMPT8KU8NrXvhYLFizoDDfTPQJtHwcYyZMA8JWvfCXbO7n33ntxxhlnAMBE6k3D29/+9uzZ1NRU7Cdz5szBG9/4xizMuuuuO/ZcNzU1hX333RdAXi8XXHAB7rzzTgDAO97xDjH+W97ylqTtx8E4c/g555wDYHQH7Itf/OIs7mAwwDvf+c4Z0WUwGMaHKWINBoPhQQYqGN1zzz3x+RFHHIHf/OY32GyzzdS4v/3tb/Ga17wGj3nMY7DuuutiMBjAOQfnHF7zmtcAAK677ros3l577QUgVbSG33vttRe23nprbLnllvj973+Pm266CQBw5ZVX4qqrrgIwM0XskUceCT86ASL7XHLJJb3S2mKLLfCIRzxCfLfuuuvi8Y9/PADgl7/8ZXz+4x//GAAwHA6x3XbbJYpw+gmM/t133x03OTie+tSn9qJXQtgweO5zn4v58+cn7x71qEdh1113xXA4xKmnnlpMp5aWmnBLly7FBz/4Qey+++7YaKONsPbaa8d+RQUY3rempqZw9NFHA2iVrgF33303vvjFLwIAXvGKV1TROg7CJhHHxhtvHH/vsssuxTC33Xab+P7GG2/Ecccdh1133RXrr78+Zs2aFetlu+22AwDcc889Sfy//vWvuP322wEgGkBI2GOPPdR3Ndh+++3VjYGHPOQhAID/+7//S57/+te/BgCstdZaeMpTniLGdc4V6TYYDAaDwWAo4aUvfSmAluf985//jB/+8IdYvHhxVMSUEPj4vffeWw2z5557RsUH5fsngUnl/6QnPUmNr/FqKwOB3lmzZhV5vmc+85lJeI65c+ficY97XGd+j3jEI0RFJDAzOW358uX4xS9+AQBVxql9EWi744478JCHPESlLchCV199dYx75ZVXxrYNcriE0rs+uPjii1V5W1KQlVBD73A4jHIF0NbVBRdcoNbTJptsEg0yaF1R7LLLLlh77bV70ctx55134txzzwXQKskpjjzySADAhRdeiGuuuaaY1iTl7XH3cZ75zGdi6623xv3334/TTz89eXfuuefi9ttvx4IFC/CiF72oita+WG+99bD11luL74Isvd1222X7GjyMJm//8Ic/xEte8hI8+tGPxoIFC2KdOOfwgQ98AEBeL6HvbbnllnjYwx4mprvOOuvEvaFxMc4cHmjbbbfdRKNnYNRfZs2aNSPaDAbDeLCRZzAYDA8yeO/j95IlS/D1r38db3/723H66adjxx13VK2B/+3f/g1veMMbMBwOAYwUJgsXLoyefvfeey/uvPNO0eo1KFL/+Mc/YsmSJdhkk02it2sQqPbcc0+cdtppuOiii/CCF7wgvt96662xxRZbTLAGxkdJSU3fB2UyANxwww0ARgLjjTfeWJUPVZBTaJsItbjjjjuit6QkGAIj4fAnP/kJTj31VLzzne9UGfhaWrrCXXHFFXjGM56RCDjz5s3DokWLMBiM7MVCvUl966ijjsJ73vMeXHrppfjpT3+KJz/5yQCAs846C0uXLsWiRYtw6KGHVtE6DtZZZx3xORVuusIsX748e/eTn/wE++23X1SqAsCCBQswb948OOcwPT0drZLvvvtubLDBBgCAm2++OYYPApqErr7cBa1MgF6uQNv6669f3OSYKW0Gg8FgMBgevPjHf/xHLF68GD/+8Y/xpz/9KRoXvvCFL8ScOXM64wc+vsSPzJkzBxtssAFuvPHGhO+fBCaVfw2vtmzZsl60hVNgZqLADfRusMEG4okxAZtvvnkSXqIlyAollGSRmchpt956a6y/rbbaqipuHwTali1bVkXbvffeG3/TOiv1o1DHqxNK9NJ3krx99913V3ngrihZGxjJoPfccw+23HJL0fD1UY96FJ785Cfjpz/9KU455ZTo3T4TerrCzWQfxzmHV7ziFTjmmGPwmc98Bm9+85vju09/+tMAgBe96EVVnrvjoGYeG3euO+aYY6KyFRgZeS9evDjKqXfddZfYp4JMW5K1gZUjb/Ny1dA2e/ZsbLDBBtlpYwaDYcXDPGINBoPhQQrnHDbddFO88pWvxFe+8hU45/C2t70tOx4YGClQ3/jGN2I4HOJ5z3sefv7zn+O+++7DbbfdhiVLlmDJkiX4yEc+AqBV9FJsv/320RoxpH/xxRfDOReVtNxrNnzPxBt2dUA4vmrjjTdWLYX556EPfaiY1kyPJf7iF78YhfS99947sfgMn1e96lUARp6VQRk+E1q6wr30pS/Fddddh4c+9KE455xzcOutt+Luu+/GTTfdhCVLluD666+PYaW+9ZCHPAT/8A//AKAVBoHWQ/awww7D3Llzq2hdXbB8+XK88IUvxO23346ddtoJ3/rWt3DnnXdi6dKluPHGG7FkyRL89Kc/jeGlegGgKtFXNVZXugwGg8FgMKz5mD17Nl74whcCAD772c9GL67gKWsYH9tvvz2A0ZUhS5cuXaW0TEIWmYmctqL52UDbk570pGraHqwIdXXMMcdU1dP3vvc9MZ2ZytpAe+TwNddck3id0k+Q40455ZRiu02ij890HwcYHek+e/ZsXH755fjBD34AALj88svjkb0r8vSpFYXvfOc7UQn7mte8Bpdeeinuv/9+/N///V+slze96U0A1jxZG1i9aTMYHswwRazBYDAYsMcee+Dwww+H9x6ve93rsjtKzz33XExPT2PbbbfFWWedJR7b02VRFyxCL7roIlxxxRW47rrrsMMOO2DDDTcE0CpcqaIWmNyRSZMAVQqW3lOr1E022QQAcMstt/S+I2fSqLmLZibh++Laa6/F//zP/wAY3f90yCGHZHdO1VhqBuXx2WefjTvvvBOXXnopfvaznwFYsffVrCj85Cc/wdVXX42pqSn893//N5797GdnFrFavYTxBLTW4RK6+vKKQKDtlltuwQMPPKCGWxW0GQwGg8Fg+PtBULqedNJJUeZ4whOeUBU38PHSMZ0B9913XzyidhJedKtT/iWEOxmHwyG+9rWvjZVGoPeWW27B/fffr4YL5V+R5ZuJnLbeeuthrbXWAqAfdTsJ2sZJm9ZZia9eHXnuWnoleXtFtEMfXHbZZfj5z39eHf7qq6/Gd7/73RVI0WT2cTbYYAMcfPDBAFpj5/D9+Mc/fsZH8K4KnHXWWQCAffbZB//+7/+OHXbYIVNod8nbJVkbWLXydom2+++/P7vv12AwrByYItZgMBgMAIB/+Zd/wdTUFP7whz/gtNNOS95de+21AIDHPvax6hFQXUIEVbRKStZw/+pf/vIXfOc734nM40zvspwkrr32WvzlL38R3y1duhS/+tWvACDZ6Al3tkxPT+O8885b8UQq+O1vfxvp+8UvfoGlS5eqn3CvzZe//OXkaNxJI/QrANh5553FMDXC6d57741HPOIRuPvuu/GFL3whCoa77rordthhh8kQuxIR6mXDDTdUjzTS6uXhD384Fi1aBACqtXfXuxWFcI/XsmXLogKew3sfLa0NBoPBYDAYxsETnvAE7LjjjtHw62Uve1mvuMDoDkcN3/ve9+IVDLvsskvyLshK43oozjT/FYkDDzwwHmf7/ve/H/fdd19VvHAkKtCWb/ny5fj+97+vxgm87oos30zktFmzZuGJT3wiAOAb3/hGr7g1fSTQtmTJkt73ED/sYQ+Lxq2lE46kk7BWNUr0hneDwSCRHUNdffe7363ukysCwYj5cY97XFHWXrp0abyvOtxlvaIwiX0cAHj1q18NYKTYXbJkSTxpYE30hgXaetH2ILz36vgIMu3VV1+Nq666Sgxz1113xb2XlYlAW2lu/fGPfyxejWQwGFY8TBFrMBgMBgCju1jDXZrvec97kvsmFi5cCAC49NJLRYHxvPPO61TsBKXrlVdeiVNOOSV5FhCUte9617sAAI9+9KOx6aabjlGaFYf3vOc94vMPf/jDuPfeezFr1qxoMQoAj3zkI6My+R3veAfuuOOOYvozuXOphCAYbrvttnjCE56ABQsWqJ/nPOc5WLhwIe677z588YtfXCH0AG2/AkaKYo6lS5five99b2c6zrno+frJT34SZ5xxBoA1VzAM9XLjjTeKd0Jdd911+PjHPy7Gdc7huc99LgDgP/7jP3DbbbdlYf70pz/h7LPPniDFddhpp53wiEc8AgDwr//6r+JccsYZZ6xya3aDwWAwGAxrPk488US85S1vwVve8hYcdthh1fFe8IIXABidUHLBBRdk75cvX453v/vdAIAddtghM/pbd911AWBsY8aZ5r8isfbaa8fjPP/whz/gyCOPLJ5yEsIdccQR8f9jHvMYbLfddgCA9773vdlJTADwrW99K55uE46ZXhGYqZz28pe/HMCI3m9961vV+db0kT333DPyzW9605s665nS5pzD85//fAAjeUDyfvvDH/4QjW9XJ/zoRz8S9xXuu+8+fPjDHwYw8mIMhqfAyNBi1qxZuOWWW4p3rgLAAw88gLvuumuSJMd0gwz6/Oc/vyhrL1iwIO67fOUrX1lh8j8wmX0cAHja056GHXbYAffddx8OPfRQ3HLLLViwYAFe9KIXTZrklYJQL9IeBDAaN3/961/Fd8961rPiGH7f+94nhvnoRz+q3kW8InHIIYcAAK666ipxH8d7r9JsMBhWPEwRazAYDIaIY489Fs45XHXVVcmxtPvuuy8A4Pe//z3+6Z/+KQoLd999N04++WQccsghWH/99YtpP/KRj4wW1D/72c8wNTWF3XffPQkTFLNB8F7d7odduHAhTjvtNLzhDW+IAu3SpUvxvve9L26I/NM//RMe8pCHJPE+8YlPYMGCBbjiiivw5Cc/GV/72tcSa93rr78en//85/GMZzwDxxxzzMTpvv/++/GFL3wBAPC85z2vM/zs2bPjvasr8njibbfdFltuuSWAkQBNrUZ/8pOfYI899hAViRJe+tKXYvbs2bjssstw2223YdGiRVHAXdPwtKc9DfPnz4f3Hs9//vNxxRVXABhZ659//vnYY489ive+HHvssZg7dy5uvPFGPOtZz8JvfvMbAK1l7z777IN58+atlLJQOOdwwgknAADOP/98HHnkkdHz/b777sPnPvc5vPKVr8TixYtXOm0Gg8FgMBj+vvDsZz8bH/rQh/ChD30oubqhCwcffDCe9KQnARgpVL74xS9GA9Urr7wSBx98MH7yk58AQFRKUgTF6LnnnlvNx04y/xWNF77whXjb294GYHQtyM4774zPf/7zuPnmm2OY++67DxdeeCFe+tKX4rGPfSwuu+yyJI0TTzwRAPDDH/4QhxxyCK688koAo1NTvvCFL0Tl61Oe8pToObiiMBM57fDDD8fTnvY0eO9x8MEH44Mf/GCi9Lzhhhvw0Y9+NIsX+sjvf/979ZSYWbNm4T/+4z8wa9Ys/OhHP8Juu+2GCy+8MDGW/utf/4r/+I//wC677IJPfvKTSfxjjz0W66yzDm655RY885nPjF613ntccMEFePazn71K5IEuLFy4EAcffDDOPffc6LV3+eWXY//998fll1+OqampKHcHbL311tGQ+wMf+ACOOOKIpM8tX74cl1xyCd797nfjEY94BC655JKJ0/21r30ttn1QgpdwwAEHYO7cuYmcviIwiX2cgGD4HE4vetGLXoQFCxasAKpXPEK9nHfeeXjPe94Tjya//fbb8b73vQ+ve93r1HqZP39+HNOf+cxn8La3vS3W69KlS3HiiSfi+OOPXyUy7dOf/nQ885nPBAAcffTROPXUU+MR8Ndddx1e/OIX44c//OFqOfYNhgcFvMFgMBj+7nHcccd5AL5m2j/wwAM9AL/55pv7++67Lz5/wQteENMA4BctWuSnpqY8AP/4xz/ef+ITn/AA/FZbbaWmffjhh8f4u+yyS/Z+yZIlSR5nn332WOX13vutttrKA/BHHnlkVfhTTjlFpT/U3+677+7f9ra3eQDeOecXL14c6wCA33vvvf29994rpv+jH/3Ib7LJJjHs1NSUX3/99f3cuXOTMh911FFJvIsvvri67TSceeaZMY1LL720Ks7Xv/71GOeSSy6Jz3fffXcPwB933HHF+KH+TznllGK4b3zjG37WrFkxr3nz5vl58+Z5AH7+/Pn+u9/9bnx38cUXF9M67LDDYtjXvva1VeXUQOtdyreLpiuvvDKGufLKKzvz4PjUpz6V9IsFCxb4OXPmeAB+gw02SNpHSv+cc85J6nWdddaJ9brZZpvF/j579uwsbu1Y0NDVZ9/4xjfG92EcrbXWWh6A32uvvfyxxx7rAfh99tlHzcNgMBgMBoMh8CUl+UMC5VUkPuq6667z22+/fQyz9tpr+0WLFsX/g8HAf+xjHxPT/v73v++dc5Hf33TTTf1WW22V0VjiJWeSfw0PfuSRR/aSkyScfPLJCU2Bj5eefeADH8jif+QjH4n1FGTLtddeO/7fcccd/fXXX5/FK/GpFDU8a8C4cpr33t98883+6U9/esLbLlq0yC9YsCA+O/DAA5M4y5Yt89tss018v3jx4thHzjnnnCTsV77yFb/OOuvEsGuttZZff/31/ezZsxPa3vve92a0/fd//3cSbp111oll2nTTTf1//ud/ji1ndslKEkpyZOi3H/nIR2LdzJ492y9cuDCp209/+tNi2sPh0L/rXe9K+tTcuXP9+uuvn8jrAPyPfvSjJO4kxsM+++wT90Vq8dznPtcD8DvttFN8ViNDet9vj2AS+zjee3/HHXf4+fPnx3R++ctf1hZVRKh3Kd+acV4zxrW2feCBB7Jxu3jxYj8YDDwAv//++/t3vvOdavrLli3zhxxySDIn072hww8/3B9xxBEegH/lK1+Zxa8ZC+PO4X/729/8ox/96GTOCPPyYDDwn/70p/2WW27pAfgzzzxTzcNgMEwe5hFrMBgMhgTveMc7AIws5k4++eT4/Atf+AJOOukkPOYxj8Hs2bMxPT2NHXfcEe9///vx4x//uMoaknq48mOJAWDjjTeOR1U551ar+2EDTjzxRJx11lnR+nnttdfGTjvthI997GP49re/jTlz5ojxnvrUp+KKK67Ahz70Iey2225YtGgRbr/9dkxNTWHbbbfFYYcdFut40qDHEtceX7bPPvvEI3tWpFfsc57zHPzgBz/A/vvvj0WLFmH58uXYYIMN8NKXvhS/+tWv8IxnPKM6LertGyx211S86lWvwje/+U3sscceWLBgAZYvX47NNtsMr3vd6/Db3/4WO+64YzH+IYccgl/+8pd43vOehw033BD3338/Nt54Y7zhDW/Ab37zm9i29FivlYWPfvSj+PKXv4w99tgD66yzDu6//35su+22+OAHP4jzzz8/WiSvCtoMBoPBYDAYNttsM/zyl7/ERz7yETz5yU/G3Llzcc8992CLLbbA4Ycfjl/96ld4/etfL8bdbbfd8M1vfhN77703Fi1ahBtvvBFXX311r6sXZpL/ysIrXvEKXHXVVTjppJOw3377YYsttoD3Hvfeey8222wzPPvZz8bHPvYxXH311XjrW9+axX/Tm96EX/7ylzjssMOwxRZb4J577sHcuXPx5Cc/GR/96Efxi1/8IjtlaEVhJnLaBhtsgO9973s444wz8OxnPxsbbrgh7r77bsybNw+Pf/zj8fa3vz07CnTWrFm48MILcdRRR+FhD3sY7r777thH+LG5Bx10EP785z/juOOOwxOf+EQsWLAAt99+O2bPno3HPvaxOOqoo/CVr3xFrOP9998fv/71r/GCF7wAG220ER544AFsvPHGeO1rX4vf/OY3eNjDHjbRepwEFi9ejJ///Od4+9vfji233BL3338/1ltvPRxwwAH48Y9/jKOPPlqM55zDu9/9bvzud7/Da17zGmy77baYmprCHXfcgcWLF+MpT3kK3vrWt+J//ud/4p2yk8K1116L73znOwDqvGEDQthLLrkEv/71rydKE8Uk9nGA0ZHaz3rWswAAj3/84/H4xz9+hdG8orHWWmvhggsuwHHHHYdHPepRWGutteC9xxOf+ER86lOfwte//nVMTU2p8WfNmoWzzz4bn/3sZ/HEJz4Rc+fOxfLly/GEJzwBn/3sZ3H66afHo8dXtky7ySab4Be/+AXe9a53YZtttsFgMMCsWbOw33774aKLLsLRRx8dj2E3edtgWLlw3hduhzcYDAaDwWBYQ/C6170O//Zv/4Zdd91VPebLMMI73vEOvO9978Nee+2FCy+8cFWTk+CpT30q/ud//gfvfve74zFjBoPBYDAYDAaDwWBYNbj//vux2Wab4dZbb8XJJ5+MV7ziFauapNUW3ntsueWWuO6663D66afj8MMPX9UkRfzpT3/Cox71KADANddcgy222GIVU2QwPHhgHrEGg8FgMBjWeNx55504/fTTAQCvfvWrVzE1qzduvvlmfPaznwXQ3o+zuuD73/9+VKKvbrQZDAaDwWAwGAwGw4MRZ555Jm699Vasu+66eNGLXrSqyVmt8fnPfx7XXXcdZs2ahb333ntVk5Pg/e9/PwBgu+22MyWswbCSYYpYg8FgMBgMazTuv/9+vOENb8Cdd96JLbbYAoceeuiqJmmV4+Mf/zj+9V//FX/+85+xfPlyAKN6+ta3voXddtsNN910EzbccEO87GUvW+m0/dM//RNOPfVULFmyBOFglttvvx0nn3wyDjzwQACjo8t32WWXlU6bwWAwGAwGg8FgMBha/OUvf4knFb3qVa+qPs747xkvfOELce655+KWW26Jz2688Ub867/+azxC+4gjjsCmm266Uum6/PLLcdRRR+EHP/gBli5dmjx/6UtfilNOOQUA8Pa3v32l0mUwGOxoYoPBYDAYDGsoTjrpJJx00km46aabcO+99wIAzjnnHBxyyCGrmLJVjze+8Y342Mc+BgCYmprCwoULceedd0al7MKFC/HVr351ldzDvNNOO+G3v/0tAGD27NmYN28ebr/99qiU3W677XDBBRdgs802W+m0GQwGg8FgMBgMBoMBeNrTnoYrr7wSS5YswXA4xOabb45LL73U7hbF6H7VcNfqvHnzsNZaa8X/APD0pz8d//3f/4111113pdJ1ySWXYOedd47/Fy5ciGXLluGee+6Jz17/+tfHvQKDwbDyMGtVE2AwGAwGg8EwDm6//XZcffXVmDNnDnbaaScce+yxpoRtcOSRR2Jqago/+MEPcP311+PWW2/F3Llz8bCHPQz77LMP3vCGN6wyRee73/1ufPWrX8XPfvYz3HjjjbjjjjuwePFibL/99njuc5+LV7ziFZg3b94qoc1gMBgMBoPBYDAYDMB1112HG264Aeuvvz522203fOADHzAlbIOPf/zjOO+88/Cb3/wGN910E+666y5suOGG2GmnnfCCF7wAhx9+ONZaa62VTtfWW2+ND33oQ/jud7+L//3f/8VNN92E6elpbLHFFth1113xile8As94xjNWOl0Gg8E8Yg0Gg8FgMBgMBoPBYDAYDAaDwWAwGAwGg2HisDtiDQaDwWAwGAwGg8FgMBgMBoPBYDAYDAaDYcIwRazBYDAYDAaDwWAwGAwGg8FgMBgMBoPBYDBMGKaINRgMBoPBYDAYDAaDwWAwGAwGg8FgMBgMhgnDFLEGg8FgMBgMBoPBYDAYDAaDwWAwGAwGg8EwYZgi1mAwGAwGg8FgMBgMBoPBYDAYDAaDwWAwGCYMU8QaDAaDwWAwGAwGg8FgMBgMBoPBYDAYDAbDhGGKWIPBYDAYDAaDwWAwGAwGg8FgMBgMBoPBYJgwTBFrMBgMBoPBYDAYDAaDwWAwGAwGg8FgMBgME4YpYg0Gg8FgMBgMBoPBYDAYDAaDwWAwGAwGg2HCMEWswWAwGAwGg8FgMBgMBoPBYDAYDAaDwWAwTBimiDUYDAaDwWAwGAwGg8FgMBgMBoPBYDAYDIYJwxSxBoPBYDAYDAaDwWAwGAwGg8FgMBgMBoPBMGGYIpZg6dKlOP7447HjjjtiwYIFWLhwIXbZZRd8+MMfxgMPPLCqyTMYDAaDwWAwGAwGg8FgMBgMBoPBYDAYDGsInPfer2oiVgdcffXV2GOPPXDVVVcBAObNm4fp6Wncf//9AICdd94ZF154IRYvXrwKqTQYDAaDwWAwGAwGg8FgMBgMBoPBYDAYDGsCzCMWwPLly3HAAQfgqquuwqabborvfOc7uPvuu3HPPffgrLPOwjrrrIPf/OY3OOyww1Y1qQaDwWAwGAwGg8FgMBgMBoPBYDAYDAaDYQ2AKWIBnHbaabj00ksBAF/60pew9957AwAGgwEOPfRQnHzyyQCAb33rW7jwwgtXGZ0Gg8FgMBgMBoPBYDAYDAaDwWAwGAwGg2HNgB1NDGC33XbDD3/4Q+y555646KKLsvfee2y99da48sorccQRR+C0005bqfTdfvvt+P73vx//b7HFFpg9e/ZKpcFgMBgMBoPBYDAYVnfcf//9uPbaa+P/3XffHYsWLVp1BK1AmJxoMBgMBoPBYDAYDN1Y1XLirJWW02qKe+65Bz/+8Y8BAM9+9rPFMM457LvvvvjUpz6FCy64YEb53XTTTbj55pt7xbnooovw+te/fkb5GgwGg8FgMBgMBsODDV/96ldx4IEHrmoyOmFyosFgMBgMBoPBYDCsHKxsOfFBr4j94x//iOFwCADYYYcd1HDh3ZIlS/B///d/WG+99cbK75Of/CROOOGEseIaDAaDwWAwGAwGg+HvDyYnGgwGg8FgMBgMBsPfJx70d8TecMMN8fdmm22mhqPvaByDwWAwGAwGg8FgMBgMBoPBYDAYDAaDwWDgeNB7xC5dujT+njdvnhqOvqNxVgV2eujzMG828ch1Lv70zsGFa3/DN3kvQromOMSR0iiF52G68i6E9TVxA7hJwbDy/SDPtwV/7rN3vqZ4Uz3KoWVNs3dpgBINzpMwpfoM9ePcqD0q6scPHODR9jcU2syNaHCs63gHYNDEGfr2vW/j0HLIhKCtjoYe7xz8gKTdkT4wCuumPdzQt+Wg75P6T5+FOvDOtekOXJqnQHeglUJ6xt/HJCidpC18KLdP44Xwjo3hZN5gz7XwPM+EnpgpTzB/x/uFGyp5SemQNHh9x74zzGn0g1GeIa+k3ULStK9w0Hyl8Oy98ynNNfMGTZOPk2IYWgdTLA4bD9mz5rnzHTRK6UjvwKrP5Q+lISbBhbwGrg0npNcFmg5HVTLKXJYE8TmtfkDeaZmFMRVe82VV6G/FPsvrp9SmnB46pxaCZeEFmpxH0mahLtr5E+k8TvJN4jk2loS8tXe8P9M8s3fDUbThYDSG3NDDTef0JBDmNokWcU4g0XyoHy/0MV4nefJpvykF1CDMU1JfE5Nl8xyNQ8si1XfMcyC8Y3UrtmVIl1SQ1MYaHZR2P0BSh1L/jHFJnm5IaKBxaRzWgDJPRMIobUjnaGnt6VxrPSmnz9s4tMmIjwIwTNspo5nmxfu1NGabsJQmWp44Z5A5MSmW0A9O/9TLk/9//vOfcdBBB8X/W2yxhUDE3yceg10xDwtWNRkGg8FgMBgMBoPBsFrhHtyF3+En8f/KlhMf9IrYlY3XvOY1eN7zntcrDt9MmDd7PSyYsyHgHBKFqXOq4iQBV3x6nz/j4UNepXT7KE4VeqhCqFMR22wOxd+BBkrjkL0LmPZtPFV5yHebfFIXiXKEgygz/FQPx3MpuVAmvpkeaOigOW7YRaUMi9OQR+vbNfUTFTnZxhtRZoWwA5fultGNWEnZ2qQ/Uuj6mE7YtIuK1J7KTK6IjZt70764URwVsdO+2eRjZS8oKgbTw1gHVKmnbkAyWmvhvG+Vh02dJmO+qffhVHiGWEcBYYzRdFRlcLKh7Nv6HrhWER8Uca5NP6kfChI/e9XUV5UiVogb+pib9qlSslYRC6XPxU19Ni+xjWCpj3I6pHgUXAGajYUAgT64ZrySvPysdtwBiOMhKgrRppuNE/qM/hfokJ5H0PSV+Sn+pWGEdSpTEPOwEsL4CDQR2vyUy+qiVbAI8z9NM1m3Qls1c9g0S4/M1W27kfK4to7SfpnSQZU8sY2VdAEQg4y0LjVFVlZGlh6H1BZS2iPjljacn2p+D1n+MWHWB5khWKkfaP2pVP90Por1P/QYrjWAnzVSxA6WyW2i0szKJfYD1m+db+bjoLTnazUJXzSW0Hi1Up/mWTXr+UgRmvb1PN0QCRhMp/VElY9tv2zDA6P65mWPSYc64DTQdKnSkKZL+x6jvdTnhlN87Uvzj+UDgEGzpg4JjxYUqSRuLJ/QNxIymBI4+abxIs8v0xf6MMJazco6ystlbZOFCXUxpGt9ml6ifM4KxOqAzgOFdTAbG5QnVeaa7bffXiFihNmzZxffry6YiJyIBVjgFk6YMoPBYDAYDAaDwWBYw8Fk35UtJz7oFbHrrLNO/H3PPfeo4eg7GqcvNtpoI2y00UZjx++LVEkjb6Ikz7o2tqX3YyhgE7q6PDWJIiUqQQZIv2PCjG5JCcufR0WnT+pB3DCjSlgK7hWG0iYpDcReMcVQEogpCOKGsNRWieKpCcc3dYFECZso77N6bfOPbad4R/BnzqNVfHMMfRI98Yz0gKcKifCe0ELpCRuKbd8axXdhE3LgRunFzeVRnLg5yBSKapno5mizAZkoRZmipOQ5JSlAk3SkpuWbqq6h37tkAzqJ07RvVDg6V3cwPaPVgSiOw7tM8dKUAa3CM/Wyoo2XFEMnQ1EcUY9PN836SlTs80GG2Bcce17qq10Kc+4lGWkeVhSyUdaO6G3jJhvcmYK6yY/2E96H+bzExgNFpD2MEw3MmzQr58DlXrFx7BTS5VDqO6lj+OxZkmcyVzbxmdJNyzv1Hsvbps3Iw6GdcwDkpyAUlJlJtmy+i3mTOU30NiM0xvi0/ti67YqjjRPlYj0XDbVK9GSKIIF+mh7Lv4oeXn6GLJ+mjVUv42DMMvTy2knyrfUY5XXF2yVtdxZVm19oOiB93bvMqCXjAUsKZZ+RMIoijgEQ/iClifdZT+er8Ju2KU0zyZiMZfqehiN0VLcJTd/7tv7Y+pvNywFDwPF5aDoPlxvYtG2htnthzvADFz1HI/00r6BkLfD7sZ3JOOA8GIZ535MJCpEU2kXDQSWslHw0Cuwxd62hWBFy4mDOHAwWLwIGA2DYTGgDxgQOCxMdD9sVnseTwpbyl/KTwnaFK0FZP9SwJblXWxtr8ubQDHy7UKKhlF+pHrrGmxSXzkXBQHIoG2BWYZJjvrTnQI3O+fMummp4W9qHtHquSXccPrrUd/ukNy66DBvDs9q25uOxtt/2yWOG+1y9oNHVd/x2pVdKt0/ddKVbm3YNTyql3Zcmie8eJx2OUj+j74WTpzrzqK0Lbfwop2iJ9JRoGhddc45UPkrzTPojrX+yvzI2pLrU2rR0YtiKQKinUjlnMr+U+jLNj9JRQqlOSn22FKZrfHW1iVZ3XXmNS0MpnEZD37S1U+9q8uwCra9SHdXmM4kxCvSeM9xd9wA33FXe41nBeNArYh/ykIfE39dffz0e85jHiOGuv/56Mc4qwxDAVP5Y9LAbAH4oHz06ilQ3ASfKupICsFNh4ZLfRe9djhqZW/KSpfTRZyWldJGOyoE+EDx8neBBFegKypgBCc83uEA22gcAhi71OArBPdsA5/XcbGwl/aXxIA7ejgnCJmezQVntuayUIR6zSBRQSdhQhrCp2HiciH3csW8faMRogzcoSrkHnEauUKa4UQmkxxcDRBHbhAneI26UluqJw+oyUe66pjiUz9HqmiqZazdyO9pN9AAVFDiZF77Q1tFLuWlLN+1jOKq4lQlpvok3Z6Kgdw6DxpPZD9yoX1PvpEATGz9u4OC5slzqX5wsrQ/SIFJ7s2clBUHmgar0V3GDnByH64hSWVSYUgSvtCmXjZPMMzYoY6n3cFPHcRhLU6vP31Vt8hMak/TCD84YS4rioMgBUYoKyu8YpymL4/NTzJysgcImkHeInn4J7Zw2IkS7aZ96sNH0lY3gzIO8w+suzol9NuO4EoWOF7RzX67E8aP+xOnx7D+JryobGT30Pa2DTo9mSTmveV0CjSGYQANRzkcvfKaA18aApvhqI7K/0tzByhe9QetlEDHt9gUzHpCU7TQNpe2it6tr18nUMxL5XC3RJ83DkvDklTrl+QJyn5DgfTRiGZLjfEOakmczgHbNQjN2g9GGuKEnl0uiiSqERYVzmIepwlVII3qqNkZTQSkbx2EwVuJjinvfchpKbeiFdhDA+xL3Wg/f1Yr2Bznc3LkYbrhopLiMHtGtQFVzpQ0/eaZm07jaGFjJWzNWLNGWgcqNXD4M+Xmvb8ZocmeN8qASrYe9XvZOMH6iTYi90/KGsv521G1sY3rSFJrnbE5o14C8HbksIZ2uU2NkpRluRjqcEIaeWMMN6fhJToEvV95zGrKTMuJJIKScTk6XQzLGK4LxSNIJQ7IBuJKcIPeLV9fwsKU8KQ9Q2eUz42yJNtbOCb9A1tCELsaj0vCSQXgf+UVbq2QDc9bWQp+NKCkAKhQQMS/p5KQadClNpBOHkOcJyLxtROVeIeULEjm2xphLW6MIvx8fSckoclpiVM3kH0mOofHF+dkXrhDi8hp9JfGLWrja9VoLoxlHaPUDpDJZB38eaSzknZz6MkzzLa0Tcr0i5V8Ffjd5x/NM0uq3FqsQZFbVuFkKU9mGYT9ZXX8l2ZnO61IcqTg92iTpy9p6DhZGkA9Lcrp2ApkYFowOD3m8sTCd4HE1HkBLl9PM+mvyqjAvFOcO1t+Lpy1xciryHAX0sX917TVosirH7Jtnwy1xpohdldh2220xGAwwHA5x2WWX4dnPfrYY7rLLLgMAbLLJJlhvvfXEMCsV8Qi2vJNRgdoBZSVsQOzgLGyB2R4HsoKrMAr54KBHDUthB8L7WguzLiGEMgPhyLcgcPSRjITNuJiOcExwLyRpNj/oEc4BkiJTEDzyDbVS/Wk06VFiVG3RYMJJRoO20JPnUXE3YPEgLwCZ0CgIiNpxubng1NGOUp2ztBKln7bQasrsjPHXG0OjNeav0RoX58qxIB09TNJLFLKUJOLB2noeNZVE+kncDCr0XylMUHyrCmEaprDBXXoe0qhBojgtCNMJE1oIlwltwvvw3HHBnuQlKn6pMrahl+eXKeko/ZTGkvdlk5+ILms6IrhGxi0I/0yx70KX0pIM62VTTtGjsSlD9NrVvIQpFEEn5in8r9mYzPKtMp5J101N6I+KG+nY0oGrywuQvYFLtGUb9D3KlqRVoElq2yBoxn7iR+NP6ZdSvWXCBVq6qcAYw5O61ftH+i0qUbMNUyTzeGjLqg14mnwpDh0DXJCTaBTS5kFL67doMMHfazxhrCdGn3ONwkGgm+flc6M4MRwH5XWIwJnRDrlPtYHkOJ20sH6TGRYIAnBCfmfdCGEZnb4QZpy11qCAKEroKSldJxSpBmjaBl5tWOWdJi9qip+IIAMWTgES8ywZ+iob7BK6lBg1a5xcz6iS08R4XcYm2tyl8mHlZ6qxbPPbw6n9KZMJFF4JwMjYq6K+4/uQNJ9Dm3rkcxCdDyc219S02SS8Q0q8gqPrvcvj9MheuxIrO/3Ipe8y4934riGllobYdmk58r6c58HhaderzL9WeVKzbmf9r6FjIgZHknw49JkB4UTS1d43GGss8TmYvwPSOazhPTV5tpjOOKgxzFFk33FoyXjuKkeYjjxJOH5yUtbPC8rEIh8e2lGSZ+g8oa0hyZ5Nu65phqPFZ+FVr/muIw2HtAw9vPRqFJRZOaMMCbF/qcafIT4JL7Zbh0zD18n2RTlOkk1FuUcB+6Wfl4eIdXHPoD49DSNFdTlMyD/73dX3EtmwIt3wv6JP915ru9DBF8txaKA8Tjuu0r4q5Z05GWQyhUreKsMMzvT5+8C8efPw1Kc+FQDw7W9/Wwzjvcf5558PAHjWs5610mjT4AeD9jgmYgHo6WI8HCJa4HPLZf6fpy9spNG8kudEiE/CkrQS2iiU3keZ+vBJIAnXQ/JN6IrPorWrSz+8LC4/rjD8588zq0P+EcqUbLTRYjVx6B2j2Yc3mfcjRZToXeH0CVFlnlxi3RzojZYtGRPEaBUTVZ6jjUMXcKmeMyUtbxt6L5yUn8fImklQYPkpBz9rkFhj+kFOhyPeQTRMkpbDyCJnOOqzod7kTUcv9m9692pQwtKyJ3Q5JOkHZUjIv3xPdP4ZbcKF8rgkXJJeKH/wdHPkWeNNHftF4sUS7mulFQG1/9B2CB46I0/jNsxgucfUsmGyoRPqIKYf6671+hlMewwaLzbelpr1mG/KEzxGfRiTPg2TPAdJm/ZP4hmm5kUfu9G9hclzSgulCUgsgKWxROsy1G0CfsywMKdR2tJ2xkjR3RwXTdOn9DnlCOgYvrRGhbmSeI+K5Yhl9fH+5yhAOtdaeAb6iWDowtFIPL3gfe0QlTMh3UhT0p/SdaUdvyysY56wmpcdX2Olugi0axbJoP0y8Alp/YV2jEpWGkYQOAfLPAbLfUw7Wy9By04feiSew3zt8j778P5RtGRW+J3W0EUOE55TuuIdps3HN3fM83Emrr/0WSiz5GkTPsTYLo4pkPlKqBMX5rZlw0x5ywWuJC+JzpLQo7UJ8nb3kYdwbR03+UpjNv5P7kpl/ZOvIU17hDYT5/VAJ5mX4isWNs6PdO5qyhDnE0oPrS/n5HmA0kHqiW9caPNfW3bf0qhNkbzrsbks5ElpiOtmU09xPhE2tzmNdEx30iXyQ+n/MD/SD6dP/BjKoF4mDRL+k8hrmtxWZZBLjYET3tGl70tJKMod+q6athprd23jlo1t8blII/3j23kp8BvaZ+jLSjg6hiReNYyFLhlQkoWl/9y4mfznfSS5+oTRl8iLWpmaT5QlBB6iTS/lPemcNqLTCXI45XvauYryNM6jTgnK28mTD1jaSJ+FMufe3sj4Zv7pBF/XKb+GjvFL60ep9xKyPYFkTfXpug1lHFdO46E+Sn0kpw/5GKyFl+OIa1chDakNRV6A5iWl2WfOoGjC0v6kyU2cRgki3Tw/lm4cY/RkJfqer/NJAoV5jb4Pspywp9cSr/MQ6VzR8lzhXVIWmmTG07X8MeUps3mh0H7pPMXmd0XpUDtnjDXHSOUUExdoFGjNE5fzG8UDW1dannT0QOgzSrnEeu3aNwPNS6CV7MnT/2JZKL3SHr1CT7HepbmEvi7MQWrapA2LMltlXoHOdJ1Kx5gapyfE8jSyZfaOjOt2nwHFNSmT1TKerHJAhbjJmpn3tXitXkX8RHeglIWvo9XzgMR7dkXhYTi9wjNZNoRcTiCdV0pjOqYzRqeaMB70ilgAOPLIIwEAF198MX72s59l78855xz89a9/BQAcccQRK5W2TmgCZp/ONYENjBrhPGO6FdpLGwMiVqFLeQLlzHbtTsyICcwDtYJIRIcSXPtP26bby7qSlppwxFsq2zCl8TvqQVxcxum7ybs8XJfnsLSBIXqdKvkkyVH+rXbca8Eio1muk7hhwIUJvtB3bSitIIh1mzC/DQnjMBxEkE0zrWQ8w98x5wJe50WMYVWvpqmkFYVqJhx1gQqzNUJdjYBYq4QTQZXjFXESRV4NjeKmtsScyuHEMKpRDf1TV/6kDZxj85oUgX58Ith0CmoFwa2mzSQFr5pXfJFvCKhhGQ3ihpWXaelESRGXhEMrDALtZpXQ52rrLdJbKWRWYxxhRhCw+Ea5lH4mKPJvCOtQJS0lxWn2f1zlX1ddaUYDSvx03IaHabyqPjquQBrrQ0m2a41V3okK/Z6bS4b+mMTJRzNFnxOBxj49KCbg0+8udOTXtZHZhutJt7JpqBMy5vwU028yUORrjf4Zt0cHSsqjBKX70cSEkdVpsvaWTivh6fSAqIxN3o/BYxTyUT2txX5bmfiq38scD33ko1DGjjgTVST0ld9qwjPDhdo0S8oWLY8iXcSjvTdq+dwZxO+NMee9WnlzZWKmvFQpPm8XSVbs5Be75MsOFOfUinYsK0IdMicKLe6k2t1VrE2FvYK+xjcqj0P/dhVN2dOYxFqXZZXtC1VEKvSD2v4m7zez36X/SjqiQrMQv4Sx+Ysxu+5Ex2pnZoV9stVoyjVFLEaK2B133BHeexx88MG48MILAQDD4RDnnHMOjj76aADAs5/9bDzjGc9YlaQCABzxdgWAxOqYTuyDAVIvBJd+BCucmE4pHAkvvetUnPLycKvpErh1Lr3vZ8qNPlToHZJ3lQJ0tYXYwLV0D6lHSIXyuImfHN0Y24mESdpMScc5uewBQxaWeb26xkskeL8Gj8aS1XloK7HNpMUgCHrkXdemmujVwvNINijbdEPc1sKp8cak3mwkLzftMw/B2PaOptN8hi2NEcEDlmyYl8qVeJ/SPJhHK1UixryDVVTzGYQ7V0Mbxv6HkbfWAKnnHLdadpROL7Yhv+9pMO1TT0PujauNHf7MQ2xPafxFS/nGA00qD/VE9g7wsxyGa7FjFWldc+8m2ubSnoWHbpUmMFZxXhA8VkN6qtVw+N948AavuBiH1v9045HIrIwzJo7ei5sIBUjvQyVHV1EPsqQM5F3o18NZIw9BunlFvTVjn+T3aZIwIyJIfWnKEPrIIXoJ0zpM+lHW93yM613eH0qbD6Hvw5N7UL3Un8gaSedd6uGVZZCWQaS5GdcJTaGNgvcebzeq2AvP2JoRvT5d2348TDsPjvolQNqdl5dYhIuGCEyIVNdezr84R+ZowRuYxRvNG4U1hYSV8o9eweGEjVBEYc6idRD7/xTiHOQ86e+J9X6TEFmLwtGLo5MS0j6TzAN0fZlKx07sa7R8y4fNc6RzHkGmWJes8Sn/4n27LrBxFOvBhTUsraNsHSJrdVaWSHtYg5oyRAWzT9uCtC2AZF5K2g1K36D1zvteaGOX1pc4d4Q1mfSDIq8Z+SZ5nkjqjc/lpOzUQ1fic2MZqGfK0Kf1R+jh/YK2RRzvQ8+eI37adiOnV9DykrK0/Fx6+kGMQsaAoRKsL3F+vloZG+cudiJTTTxAlDFq5UZJRqmKK8lInGYpTMW7koFQxCCnm78PsmWbZ3fedcbQTRr0aiMtHpW1VYPvNm96Yk4+hh2ZyxDXznjaEqFPmxuTbJsxH05e4e+qlEaFJggyoWYADCD3jhTWzxiXn5gRnsdTNeiL0SfJMztlRaFfSCf1NHZpXEG53LVRqu4NSHmT/DNjWGHtyvowqwtpPOV8IvK6KXi/Zqc0IaydAj1srZL6K8fYG8njrmdU/tOMB6gyltYL97Clxxdr9GinG/GTlBRlLB9rkS4Kutc4hvKqJEdV7fURugJtUr3WKn9pv0kJTWUC0WOXrAGqfMyTVXjNUnkjz+7SZzxMDfieHD/tIEmHy06F8VPTZt3EhXVLXluLfDkLk9BKT29zTiwHlYFXhGdedf0U1i71GV1XCH9Sm2fcjyFhqTxT00dTpXYpMxTXe77/WFpnosxDw9K2q6lvKgtVjkldphTKMM6YiDyCvq71WctG+0NtPP4uobkHXZ1tmcVvA4sK+dXACOZBf0csAMyaNQtf//rXseeee+Kqq67C3nvvjXnz5mE4HOK+++4DAOy88874whe+sIop7YEVbJUKIF3AJgTuDZug6vz1knTFJSGfPROZIwl9jrRxUCcbkREpppXmGxb/PuCWsSvcAl5juGrQCAW15ZSE3bEZtcgk6UESuvoITgPX3G/aZNWTzuQoXj9GOg7wqLg7OoTVxpUXfkuLnQYq13p2X5QX0pJoQz6GS/+z/B37LmGmm72kP4vklMaJsOFUEpLUdLpQU+9AK7DzZ8BI8ECqBFRpGfrsjqKxNi6kdClNk4479O0ds6TdqKDuSnNXyEO7n4kaUUFIgzLgBJFZ7dv2467jTT0kilBMqA27wHiQqJSpuPOqc64MG1oEoS2r192uOpXaif4X5puiwpDmW7DIjnIzL4cQpVRP2nyl1k8oLzMADEZMknJbReh3NbyFwOtV9/dCXfbKb2WhdhOkKq3C/NMTdOwU+7A2d5HNntVBeF7j0aePjtufV9UYCAa4kwbb1HEenWVM+vg4vMjqDjpeV3DxahQl4/C8feJNgq/pJaeuoD5DaRi33rQ7fhMj4viwf/r9iEE/npfKYUTmKW52zwAz2osIkGSucfMeCHNZFwSeuDOf1Ri9aZ0p78HXUWYw2mduEZXVM1xvV0n7jUl3LZ3j7JGWE6yjY2L1WFE3muJwEphpn6ilbaXsF8TMAiHsv4Cx+YJJymFdeZH0PC1TzZrYRwbrSqorjjbWu/YcK+np6qtVeyerAKaIbfDQhz4Uv/vd7/ChD30IX/7yl3HllVdirbXWwvbbb48XvvCFeN3rXoe11157VZPZIljQcGFTWuRLlsrqwNB23lLGgadTOsoWaBjzAUbWQhKzrkETqvlzWh7ngIFvn9N3FQyQaAGr0ucwdK2HLPcerAJl8gQrDkdmqmRC8R6YRtofqKdwG6uJm9a7b+jOLEAdCZMci8jaTRDCszBBYUEqg1qderi4ee4VRZXziN5uWToCHKHLwyGx3KJtKVi5suI0ZWHpNosHX/xC+/vmzrpoFZR4cqf144ZNhqHOxTqltHBJHnDwwJCPPyQK39KRKaPwDV28r/PKIHXK2zpTDIOUiY2J6H1L+lpm4UWexTqYTtssLwf5vVyhh4LmBfZbaneWb+wbQ/aOpKvdiUrTlqxtuSDhp1x2x09muRrukxQ2F0Z3XDIFxtAn9RIspb3DSNnBjqeKFv5TLqkrbqEbrAUTy0+fphV/+1E8mkac88Iczfsl7ctBETidPgs0UAWaxrDFfi+8j3RNubYLaGHoe6owomXnmyqeKG3ZvJu0VShzaV0J73g7U8tcPn178t38Hk61d2ImdJE1yU+19Gd1QMrr4eGGLunj1BuOzzntmEo98zILVJIPj0/j0bwDY8/7QVsv7fqdjD/uuYo0jeC1KpUD4RQF6d6vpq97pDQnXuOZFxvSMKGPN96GlOYkXnjXnKCRrl1IwyrjJSrbp5p1FU1fSKeDfIxrm4h8biV0p3MXW0fIuKb/2whe/t3Md2B9SRvPoWzcWp9+Z/G9T+iSjP446BhNwmqnG3i9vmO+Al1Jus296fTu9cSghHqtkTDZfOBCOnIbJ2XiG7pxTmMdCBAYMdqpGoOfv0cF14pAOOmAyEOB/498W/O8hk/UA9S3hyd5VXnIdnlpouO9Rru2QQ6MTpfiwTvW/plCvj+TTwDt5O3JmlUsi/etnNB3A5zcDZvR6uR3TuNXtPlPAeeRtU01lbdz8u/AR0u8svMYyaN8fhmQdUcxPEtoKBmnDVxzskqIyN5L86lUT05/r65R/NhZQoNWj+rY19qOrteQ6znmSftwkqeSdhYwzSNCMGLVZEsq/1N5iMrynMZOZUXD62tlF+U0rSy0TNq6Rw1Jw3wvGJeqyviSF6tUl1DGSQWkuispz9R3klEmeS7JDdRYOEmHyKyu8QamfHYWX+KzBLpbOiDyujHdUCeleZyG1bQYirNMqW5rkfGUlBevdNKJcy9SWV8+JUpJpCKvPuWKY11ZX1LngUI+nC4+ZwjPMpA61cqQyLSBB2d9n8oU/J0LAlwlxPEXxDKtziDTL6ZVSIOH6QwnhNeQ7bPxeYm1p8hPiOtyG3CmPGMpfBh3DuSkNM7LCO2W/aZrYw86Nf4spB37B5lfU1m9O4+asEU+jD/zfrW42tIUsQTrrLMOTjjhBJxwwgmrmpQyEiVdYABSQdYNV3HvapStE4eoYGTgylhtM46DMcvJc54F26gIgmjiZVhjPdfhuSL9Vxc0xaykSzkewmTl8YBDa/HaKWx0ICh1JnKEHBEUsnqR8igJMySMzOCT+I1SyoXnzbtWieEzwTOxGi4JOB5xAU3Wp9p6b9orfSS0PVsgVUiMRkynfR/zIP9FL90sjW5mO9adVv4uhk8oa6I4oaQnTEs6n2Zp0SwcipbKMa2kU8hpdYIoRzGd97UuUAWrb46FCh5pwQBC3NhKHoQyNPNCX9M559rNeqaIzAluBbwkCU0YkspA1oIahlIdb1wJyY6XLm30eW3TRHiWKEGokIVU2OFxivEFutoISPt2UAhTL0WiTObKTClfTeEeww2UeJROTmvYNNSOWxOQKRAlYSQhjsQDW5sFJWwaN+c5EgVVl4AZDA8EhTz3TJQUbp7xRFTpm/VZ0YslpaV4Wgj15iZ9E0BU7IHUdRQSBWGtU3CSjINoW/j6NVJUBndZ5Dsy7hRjOYnemSKdw8JDqPR2ll9Zb70LJgCFMAPXGkQA+WaEIPh3rg+C53pxfPJ5iuTTew16sKPL0HYm3jVjxKu+V3RcL9faeDUyG0PVWqQoKLqU0COaKtJ3ZHDU1GVX+0r1VarDuG7maY59Z2wf3pbx37FNOjz4amiQpp2wNvtMwspRnNO6aKuRl3kSfHmT+Hnf0jUTmb4In+4fSLT0SUtSfgI5/SUlAN0w7zqBKdTNxAwsijJiSpvYqSZsbDRuuYr9ZczxVkuLKpeNOWerZQnzI0lX6wu5IqkwDxfqp7MOCvOoOI75vifn2Wh/yxKUy9Cnnbxr823/Q5xQVZk9/lcyKrX7THiYmcKn+xBZnQNNXRD5jtLK+l7nPC0Vs6tu6G8+hsast3EU/J1ycZZJL5LK6wOTzekzLS2Pcr/SyjqxdZaP21q5V0uHIwz9mv5WEzaE72Jj2BygG9wU0ivlw+e0Ccnpk4ApYv8O4BJmgXQ2OrlLk6w0+WeJs/iShVZi8dEwt/FscJfSVRLmaoRlKYxEI91QkMLyJDyi11eaX4n54ZJB8zUg9PAJPosje39Km7CZhV+wdoQwYWWbsq2wn3k7xoXQZROZZ+n7QZ5Z9I4h1qzUu9E7tB4oWRkxss5uwsR3jddfZklM20i4f4S2Y1FBxqxDgxKKK/ESReAUU4IJAnDc1KQMmOZ9K0DaqFYXuZAHqXdtU0e8byqQ3bR7vMfNNeUmAR1yZpArWKlSsx33jGbWt8Q7gQjTypW8WToe8nuWV0RjfT7yCmvrLd+8oBtkiGXh3u5Zv+SMAC0Dp83pDLZmaUmtjhOlEOnnI6UH5DppaA0GESqTyj2w6DgJaZD0aJgsreSh3JmT+U5AMvexNStaJfO5gs7DglBNvzUhIKMrKMvoe7RhEgVzUBZNETpIPMnaks/Nkb7kYcgrjcvfx9/B+wlA9OwLH4/EEy7EiQrXkD9RmLRtwfJQQMskWY7GTc1QJ2FN5JsA3DvUtetfoviMd6U3+bCNwDg+aFoanMMwGMf4Ni4XGNS+S+o5QzJPpH0164+Mn6ObHBLNqmJK2hSN64hcHrphy+cDF7oWeeeHJJ0mn3bjmoE/YP2O05wroJsv1ofpuMzWLBpG44UTXpLnKYxRbvxH06B5e7R39TJaaTr55h5ESMYfIr9Q2GQJxlmhPhJvahpGg9q/04fOk2VbUMDSMoig9211bIYYOqDN2eo8pi2QYV3Jec4i4gatzK+q6Gvc20cB2+f5hNA5rtR3PejVZMQxNqpFmXcCVSQbF+Xr7FjKI6r8EOQvzViNG/gBSNc9yLJ7V/paGDEtRm9GW9c6wfkU/lrx8EzoYumrcluWeNpfcp5XzlOE1K01FkfoJzk/JchlQh5xHwKM/qbf91Jmc+9jgW5KR1YOyfCzxqidt1UzHjpprjnZAqksJfb1LhqZsWCaOJMBINRBCKfJV5WGWqpClbzvbOtsXLD/zYk5bpgXlpYn4ymF9IIsV1aYSAOnQH5NX274vYRWxrMW5XnSX2JYLauuOV/a66X8d43RIk2DrJWtMaxMf/KItxtSuhNFNIQ0lbLF/JkMk5WB0kZoSJKLc1efiVfKw7f7COMmIaxLVes77zvZiZhyXrTsYf8mtgcVjYiMou+7lomUypYGUGQ8lOtA2jvpyr9P+l0GXFlYNt75nlqbaSEdQpcUNxk3nrQ7f1/IL8TPDOub+Cv8asYKmCJ2TQUTZJPnAJJNShYnojShZBZJYfJy2dHC4blrFr5EKA9HGXHGYyA8K9GVMZNtOiqkDWqpTrjVVqSxZgYJ6ZD/cfObh3XZJF2c7Lu8ikOYLhI5Q0mOGR6R7OPEGhWJdKIN3/F44QbxyMgmjwESpSCgMw3ejYQcKtCG43nDsacO+USbMG/Z8XYpuZ4qTjkUgTwpD6mfVrE8atuMJsooUWG9KQ/NM7O+IrQn/Yh6PYZn0mKZMIHIFIz02GlJER+ZmTiGgaiMrWA6Yhtp/UODG/UXYXs+CZOVNzym0RhjoG7wk/eukSbaPsqtt13bDk15SuhSmLdMZGDUWd+tYEIdkBqMECG25G2eCViCYQRPM4RLntFjipsjgINSOwq7rP/z/LV66mIgo4IujD82JkX6Y+JEWVs1r7eb/bF/hLoQhLZII/XahM/fo50fsk2FQePVSNcFokANacUwdD5pyhUUdMlRVSVFKUlHVJg2v7Ojr0pW3zRfmlaYqxhTnUUjZaf9J1OUeZ8f2coFHKfILcy4SRV+BinNIW4myAtpx7/OwVEJL0QL64OwRoqbXVnZ8nEWjTvEnUuhLsj60WYuRG3GHZ0PqGBIaVe9bh0aL3wf40Uhi7VZQgf/j3bdy7w56eaFVhyX1qdq5IGc/xA3EOLRdenanylbm7IGnqdNKHRyn7VlCSWBXTLyoHklQn2o/+DJLClbkm/SvlIfaOabZGyRvgognsaQHWMsbj6ijRvamBusTEIb9GABm7vH2ogQN/p6pqMpAid1mlLNtT30+RhK16rNSPHUiwJvLT2mc6QgR4bnGm1FPpzXE6975ThiSltm3Dsu+JwPjHcvZiXPPpM4ge/iPETnOk6fc37UsfcSjUOfrm98vmdpJch4ENYPmzUqynONUU6iJPR6X6i6G9brYaMBcFyjc5q1spSUzpJi1hXeA0hkHtHQtqFvpkrYkvJrbOMDloZGT4aaMdBlWF5h+CC2D5+fqezF5zimdE3CaCgY9Kl7TF0Q6GmVB1wOQNzzyxTDmjyl8KTAKI2+fE/CG9Ml0LfvPGrqso3P54fRsNDXolgGSXFK/zfPMqVfNu6dLt8ydI41zcBPmIeqxj3QtiGbQ9VwYDIADx+qi9NA+eQYNu+fKgoK62wPhOQ3NutdqFNt7KnrnM/DSIYVtI0FkVzPIyRB1ufqeUIzqAjyk1AH0nrVCyxdOkeqa4o0H9Tkw+LyPNPwhUQ1Y2hP+AG6b1PLrxdoXF1gitg1GTWboQFSB+8aFEIazntRgeq0NCWBumvhjAvXGCOHK5q7rH61dyVmk2wmyt5uAtNeC1XA6QhD67lLOVsQ2hylnYIL2pmlbpnxksAF1iwKUfqo6SoCTlDUuiYdHoda1mRKLIdMoRzjaWUoMA6ip3XIXIyUlqNUlZwR48o96fjsNu5ICE+8iZK8XfJMslaiv2k5281t6AVI2r+lrUuw4orvQCNVpEt5ObQ08iM7Iw0g9I67cLNyRJojA03yJkcCBxq70s2MEYDOI7+rhQYgSUdkyPgR7kEpoyjyeP5JvcT7MivmvUCbeFQ8siNrRcVvgcYkHrWydYL1uCbUSxuSZC3TFX6jF5l3qhg4pcHDp0d89t1QpptMJH42P3esQd7p7xpCM+GAKsGCxaJUR1RpKQoTTJk1UqS3cUtINoF4P6XzmLJR0GXgFo1bWF8qCSpiGG7NCxYmzCGKACYJZvomp8A3udF9wHRccfpoGWI0stY6fpKEZ99O+C2xooqgyJWwUfFJn1OjEU4jS5MqUGm4JGzgH7rGnZKHunFfOWfzuqAKy9GDlg/m5cnyUvsDmxfR/FYnUVLHEm/omqwyhiqdV7ONw8JmqqESYygcVwj60lF7NywNSzGuvBziUplUMoIR6eB9v/xfp0ehS4A6L2ZpNg+HSOurS34U5qjM2Jfz0iTsuOiUKWsUtqUwjLfskr1qEPtHR74l5W2EouxO+bIaokJGhSCNPCdt9JeQ9WcmC9E6za5qCfIrDavJj4L81wd9lKd55Lo8Suu8FqaEzj4i9THapyXlKI9TMX4SnlK60mZADNyUfi8qMrr26kIYAdLGfKogLKer9geX3kFfChfoU+UgSbZhijJajyUeV6MjaRvNYKeL16PkMbmrE6xNVVlBzKwQgM4DTpCTudEjEOVJumZ3KtlKsmsXAl9N21SZD/O4wgthnlbrkMsnfP+8tJ/ODVJpsgX+XMq/CIX/mqmhiZiVIMeNTHZ9Ni6kuF19vVb2CPmmkcl/rUnG5ZUKY2iSRj2JgXoxQvPNwqV7N2F4j0fcTMo1mttWvTxkitg1GZJVLw/CrA21eNSjVcyHTORZTmSC1e6sLUG0Dva+W+AuWTzzZ2r9BBpouh2TGVVUUGthOunERV3e8OP5a+/5s1wRSRNrAk5DLu+gaZdwbPSgbftRPm1G4l0/zT1hmadjwuw1bcnrcFooWEHJGifXxmvWTftU2cMVsJEBIW1Kju7MNypJnpKihOTlGq9U59tyeNbWJeVh9owOv1BfUpeTjkSiXYptgiRHS3uAevW2wm3a1jTMyCOvkhn2+bh1jJ6Yn8psCO1PBDepTnOFGBMAS164npDP7qgU0wvf8dhqn9ZBUhaWFeurXFEZw7hw9x45AltgIkP5MPSxXyd9YpoJeZxGGrZkVEGPLPZtlDjnBSE7tNPAYVgSYDgqmPB08ycVZuL8O+XAlQ3D6Nnd0F4y0gjrHvMuLVkgt0woZaTlPCKtQvm4oBjuYnVDtMeC8jITK86YTuzDYXATOgWL8oQenz6nz0pCWUib3h/LN0G0uZAqcuSjjvOyA8i95gSEPAfDZq2YQqwWtf1JfpxmqrBywxFt4d1wKiTUtmEsl3Tsvyf1TMsY8hiStqF1yuomUYQF7+mQB9L6dR5pG/E5FUT4psdoA4mHZ9auAwfvgcG0Tzf5vB+tkwMyDhn9g2GbjrTO5Ovy6BM87z3d4PPN8W6OrHFo43RaGVNhvKG9zdOReYXE4bxx04Z+QM50SIciK5tP0w558yPVS/DppmesCzoGmeV3Ut7BaE2O1xAk9EGkw5XWVOb9LBlHFDcV6Dyc5NmUA20/p/MSLfeK2Mj5e0eXR1seIV8XRxEqKl8x6pgY+t4b28P7KHnGjRC0MoiGYoXy1lRFIX6m1OCGQjQZL4QhNBZlQImEmuYXptLRizYNdROYK5ECujz6SuhKi/PtpXQFY2EJgWfmxqrZ3EX4/6RNK8pVmgcTWSGJIyxYydpC0/BpnBDWI9/DCckW+V8WRugHZbk6paeXDC681+JLinQxbLbokzCkXWn82K7TadpFmVeiu9Q/lKtjJAVtphyVwof6RhM+9GtBvu1SxuYPlbmZQJQrFGhjgu+piWlw3qlAZ6b8k2ihytwupbO21lC5pYBsL0Dhk9S9KcEgjvLkmnFkzDuEKSjfouKl1OZddcRkN1+gr0rRDyT1xcWLYhzI/C8PIyHrg0kdCmnToNrayRXPgoI41leTTbbXHCdptl5RWthcJfW9RC5N5JKQsZyeWC7IZQ7paa8yubtQt9qckNGv0EL7obi3IJGupaOhpm1IGBEau6/NiUkYcnqmBEXWTPpVib4+Rjkqk8nSJv1+dTpFqa8IY1idoC1ckvKVhg9htHA1+Qh5cehHGVUtbWWQ41RVugQlbGAoImNBnvfL33ULR6VyjlEH7USr1Dt/NmCfzvRd8j1KkwZoF1MtXi/rkpo6jHnIccXFpytuFkAQxDldWho15DOBNhXIena8RugNnxJNkoJdzJcujFm4pv7GHLI8b0p70l9C/n2PIKPoOgpZpG9mYShzNZMNYdGDAKnAHgXuQnslcRJC0/dVtPJ8ikp6n4yjFbU5nm06iIZDOlNLlS96JoogLdUbYeykjyTMU6VcZ/pg6XTRzujK0kkepPmK+fO8Eua3TEKxD/A5sSdKaUtClVi+cZUBEv/v0+/uNELly31BjCK1X7IRqKehKiEpHAkrGY2EPJUwEo2UZ8kEdLoECXVK8+M0Zu978FPiGJtSeBFpI4P/BqG/1K8VZeVE+qRz6vyRBS0p2zrSFue/jk2JKmQ8JXtXWGfHztMwPjpkvyxsV5BJyIQrAiXZt08yq2v5CLoMcem7KrnFpeuEzmOkcaDNYzOUDXqH05TAE0LY7NSMmsW6mkkdcPTkz3rL9ysLqwtJnL/pAZVvqsUk+0UXNIcNgqxfK4Z346zdmoykzi9j5NUpB3VB4MdEpZgUVcpKyn8m8suYdS+h09BuhnNGn7HAjUdKac5kj2KsuvPK7xlgrHKM2R5qPkwGTiN1JVoZTqCFy6ScnplC1RPMoP74fKDKvQKyOaw0jlfgctDueRSUsA0NlKdU6ayhNYTpmk/G2VdaDbSg5hG7poJZSHGvVF1JkzLTSbieytio6BGCdzLsxJMzVQq5lo7OI5Ikjovv0rikbjL0uRMjsYgslE/arAKZwKKFCLn/gFgZjvKU0nXqu9jmQxctUYC2fYt3ttB0oocLezH02fGnqSWay8IXjwGlR9wobZAsUlMy0Y56owQPuNC36MI3cNGztY2M6G0TyzFFvEIFjwtugdpl4eyaxcgzRQzd9K5ejDnTEtNw8T9XTJeOOuXH82ZMbFaW9v4emm9umZw+j0cgU+8f2jeIpahaflbmlC7ERX90B27zXLjHWtz8YPlkWWh14ttHfqoZG/RZuLczeHUvD2Vvwgzo3BRoZHnTNnLhaBWBFNLPxWODPRovNxfv56PedcDoffRyJd7vNJ2k7qR286M8omEw6esAoqdThmCp6PMxQcP4WU2e1ItMMBBJxlTmpehbr0lCXKd3lWDVO4ruVOaPe6okHmwknXjaALVaDWUO9dG1GVCqP8HCOeY/a9Qh6bjhFtncetAV2okbJyS0O5eEcU2/TO8c9Qm94Xmob8/Kk9AUDBUIjSVLdPWuSudi3x31sXbtGzTekzGvhscI1rLtmg6xX8Q6C3csh/9DL5aL1lv0QhDahKLlNdr4uSI6FDE1aAoenqlHDoBh4wkLRO9USp+fQgo+p3kX+2frSYOsr3Nr5eQ57VNAXr/CnJMhpBE80Adu5OVM57YwpyC9wVzyeKZjmve5GMyl4y6pA7RHZiX1RUkuDX1uxBPWiVAOquwV6i2Zk7xP1xw080IYDyFJT94hnTOy+8GI57bkbdQapozC8rnQDVk6Dfl07pioh+WDAJwvKhnrJScpKXJgjaKxZBgYnnvnWtmQ3hUb+iAADLx+5U2WaTddVeFr+1fxNKXCvbA0D8Hzvtdmq3KEc6oYqU+O0u2TdZlc0dNVP7ReyL2j/CSYhI9twiYI4517ojIeIuFRQzjFM7DKC5Dm0zyP6xDJI9soxahcnGdWTzvSULhjlJYjyqbSNTFipJzWNM10nhDjOkC8oonSJEBTqIV44b9Gv9bnRHmd/O/Kszcov0FJ4t6uvI8DWbtmm/4EKT+W9jnvkI8Vjgkpa8V6KowTHiau2yE9xm/UoOVXu+dGymOKx4RqHqYlI1Q2V2f3mJZooUmS/h297Zr0E3mIhhfGWsk4rbbVM/5UoDcJXzoNRejP6lwgydXJe42A9gWV7TgPn8nQTLYc7cfJfVCdO7hXaUYb+UlOAhpHAa7XG8R61lA7vqR2zPIt0FKac6W047ymETQOa99RhuDNmbQNz4esiSN5MW1vaV9jbDT119XOMV9097vksVS5dM1X2i7mI86Pab5i+zVyHd+b8yzfkI80RqNM7do4vbxZe4yRVYXVQBdsmDEmYXGsbo676kmmylqy5n4fTsMY6Bx0Fd6YkgVolaJsJlDquxVQc9qS7wGPR1dElBe1Lgaor8chU+T0tiym8cdAH8a4WC6uUNaOVexJV+3CkC5ifbk4mm83A79KIDAZNeHVupiJBXvPqJ1WYQFSPx63f2veagLGaV+pf1YJu8UA/eJQQVt8PiYtE+/vjnwLaVcpVaSldwLMYylur3lcWYOr0hhLiBI2SzoMiRJaaja7UaifRJhXgkxmT2ulYmL9gaSXb5p08VSllykRRYMZBUm7VcTliulSmn3GYmnDNw0YvlPBs1R2aZOsmjahXmLcgiFcSitr+3HGOOe7iDFptq6LsskYeRpEzMRbc5V5yNVcS7MC4Hnfp6jgO1eUZ+wkN2KBls6aU3fEPsB4xyTvSXmY1sqUNce2jolinXbJ26sTBFpXBy9uUbHdAxPj91emx2kFtH2IFYFJ8LrqnEnetxmOUa6OsVbFj/XY65wppPoYt69OUqaVFTZj7B1XoGSI0RLUnW+mIK2FsM/hCH/cS/6gSq0xIe4L1uxP9sVM1qWSDNMnGaFcahmZwm+FrKmaHKjuEUwo38S4QwujkED7Z/GEt34kTayvCUrYcU9zm/R+y+q2f2MesWsimAcsf8ePI+YWzVUbHSQ8/69ZNnda/FJwa+cuWjg68kksKpsZTrJEpNC8LmP4QettHC2Bk2MyqyhvaPdyGUL5h2TDOB6RRJLwjSfHYJAogzKPVqdvlmR3dDbejpIFjLbpN7Ima/JTNsil+0Mw1GxokXjTOo+RRWnXxke4O9Oh9dKgG6jBCltIhm7eunD3HctH6hsjT6rwp/kasnHggOEUKQvPlzFwmQIgY9ZJIRwL60l70DhNv83CcxoS2oJvl4BsIzedD6hhAL0D18MlhgQ0zsgaTK6nWFYPcpcnoYVsCiWWiMJcom5uD6BbtsdAhJYkTT+6l1lC088Tq3fhTp6MvlhM32apmE3xfh6e8fkutnX4TY0kqIXytG/mZ+UOPsH7IJkTggV4sOqlDBn1Bg13vYZ4wzQdyfIwU4poxgU+r9skDvXkCukGeqiHo2vzzpCsjSG9dF0OAjctA1ekOI/WW9oJbReex47evdD0sX4NNLshbcTUwjvWe5iXad8gZU0VojntooV0U+eZYkdIiz/n61I7zlqvwOLaFXga7iUzHN1pKm4WUG+YsFxLvIMX8iD9uGbTQ7VQFf4nszXra22CLW2BvngvsW/btg3vmjWc5R3GF/W0ZfO3l9oxgBrkZZbtbfxAnwMSL9zMM9WldcuR8DRNHiM+wTXrSlsuSlOmqCVjNkk7eHXQMV3qd21SbfsJ823wtODzXZY2nze55zlrU2kTMng00/kpWi+zctO2zU7dYF643MNeFYKdE9uhnXPS8tI+UHOPtIGgryW/4glbTJvFLcmH4vO+RrtS3hoSw57uOqjaNC6B8FpqPfA2KfCvmeIieHVxeR1puCLNQ2Qy5igvlzyLHqwaaB6ap1wTTpQCJ6BgyoxV+qQpHU/cPFe9d8L8r6Wj3dMJvR/1MQDKwkj3cqrzbk36Mn8T42s8iU/L0cfQNqHNC++a95mSX/AGHnv8+mbZJ7xsBu0dkVXpmFf5+1Jf7bivWJTTmrAxbX56l9DPszyYBziNr6JmLRZOVEny16AZ5vKpjtWHlG4iK9D5gvCSGg1+AHDPrJq+zemgNJTyk/KIfJ8mSwj5UF6xWuGX7TGDjdG0X0tjbpy64XRJ+5LJmlnykG+WrFRGktOSTn/KoHkBcxqJ/JfQE9JV3iX0MboS3tun/aCEfO8EsS0ThV7YR5NkGI+qvNpMm6DBuFmSS/mpPRLd0vwmrAXie15fAFQHCimNgZB/ofxiP0Xeh5P+qJWlQ4ZsHwhjVBorgqeplGbyjpaH5svHZl8IdVhMpzSfC22c7JOzsmmn+6wqmEfs3wuo8EaZCKqEpd9S2BKkcH3ia5hED5TKS19zZp0gCgqNsqpGkTw6Pqui3IE50LyNUWAQaRzljteo4OqwSO4EZ6wA2dpYYHa1/KSNZokJ5ZN/ZiHl03dJGOJRmORVsJRW+4Jvv3k+6uIwJHe1Rjp9FLwSekRiWDgGkVlw5KPBtx/12GLChMW8wjuwZyFZZoSQ0dSFpq9m/VUaHr5wD27GQFfk3YUgGFYek5QJgMIYyvprh2CYxg3lJ8+YkYAq1JUgebUr3rph/GVjrgMxfEkRrii8szmlo4zqeHZOfseF0LCGKeWqqlMWNpadjSlJORMVvRNUrsY8+/KZhI5MKSqlKxkzaQxyeJf9Z+NNmt8qykE3ynKBjZWJJh2Zcjlvad1JlXr5vEnjaUoJ75CsX6W1sdQHPaFZ2tiKtGn9oen7PK9EMAd7pkEch3LcqOTjdGtjYTh6Ls2lbaK0c/ksrbj20LYMx0sL+ZY2XZM8HElH6nuFPiKVU1XSk/STjeGuMQc29yg8cnsCTppG0v9pWRx/5uR+5302jkR+LtBGwsexSd6lZW1ezvD0FIOOXl6vHetY9VG2awIUOaNGjlR52yQQG09amBqEcIosWaX0FnjcPJ/Cu0oFTfG/FqfzdCthrSFrbycvXUE7zYPKEmJ6nP4CaviAGUFYhxPj7kmPVd/xkcIC5fFS0Qfa9U8hK1u7hbirCqF8QU6t8RoK9aEYVc4EY228k3gpv8FkgL751fBVMaGcx+tS2KonA1bUwUzqurRvmdDQtUSUeEkqd6Eg91Ui278TA42XZm1dVtUbpYXLKNIeekGGDHEz+jSeu9RmAu+d0AHlXRdomQRZTEo/I02L1xWWj/liJpDrh9Mm5d2DvqISVlqHSjL0DNbHThmzFE+Tlek613f+qdYHjb4mwZv0juvY71LbSHECQlnHMficMMwjdk0EZQqoZj9jFFz6W1LG0nDJYlHDZQQGigocPQTtGiVsyXI7lEkp//jMohCRehX69n9y/1yYHCU6OV0Fq7tkwRLuew0Thxt0WJhnDKoX24oyY7HOqAcdkIbTEMK69JkD4MMds6XoU1I96eGpJY7Pi4tgnVc10Yd25fmH+zQFT8PRb9fGT+K2d5WWhPhWmd4kEz30+q1O1PM0zQBx83kwlNs/2TjyqRCe1wmdU/R36SXtPrd8D2Ue8lv4Cvk4JHSK6QHEk1PoPEq1umnFQ9uTehqw+nVovXKyuoBslR7ok8kg8cPcitTanm04JxaoU+ldgHyeqZkPY/8Od3DxOE2ZeNpcwRjTY+WP/TyUiVpsc9CxG+qDNWBxbGtWq+w9gPZ+S9pnhuG+W2F9DHk3ntBR+HPkfk2fzqHUI5LSTpXCDvq6QOtCbctmHnPTPi2LsI7WCFJxGiD3PIay5F6JaZzwJ9YFHelk3k4lz/DcAezO0fQ+exqfJOFJH3YuKaNkWCN62wGgHrU8PqU93g1F3yl9LPO2nErXE4rEalqivWIjTl0/ufBEPU1dmiffpMq8sj3xjBWy4uUJ9aMpy9W+Te4B5XyJuJFO6HRhHqN16v3IA5zO7cjrkNJMLd69A9x0U0d0zYwDJu87cV5gz7NySuDlE8aU1v6erJtO4GNEOng6PAztj2ycZWHCncPci54ZGqVK80BYxaIFrLRjGv9u0GPzSDLIk57XetnyE1NU0FOTaPozRYE+sa8nNI3Zz5LrTXQeukRTEQV5MlHC8vxDkIFX340CdOWf/k148VKd1ZSNeudJ98DS5KQ5EPIzR9NVwqig5ZJOfGK0i6dCkbRKSJRXqJBnC+mJ3thsjR89k+WysRQ0zbqZ8E89h3KnPNxRh5oSVjKMzPY9IPcHTeaR3mvvqtqUeVOPeAlZroqgBsU+je+1umLyqnejMRLDK3IQp8MJ6Yi0SuuFNv3wdUDqwwJ/374ntJP4Mt/C+HStjSivV6MYB5VN0iRKyORjod54GM2wRJM3Ri9zgvK8W9ol+bprTMQ0kI+BhA4SLtCQyFnCXnWeTt5Hsvqm9FL5nMgh3BOVy0hJ3lr9ER7ZB1pcR7sofTOeXBX2XgQZQN1TKaVNxgRfc9owhSS1PD17XtJTJP2LkEr3WWnTa32oamCVwxfHSshTmEeCrCeGr6Gt632ogx77m6N4afikbC5UfWWafCyK+hkhOt8vr5mXQOqUz1FJv1LoZv1pIo47E4YpYtdQJEKs9/CDkZTlkoWk7ZkuDJYSQ+scMByShc0l6bWb7kIaXGimz8HesSOQitDCTtpKMx5LSdKOFrNs8nBAOMYXzo2Upc3xa6WN9IT2AUbHD2tK8eQZ9MnDs/YIC5kw6ZSU4/xdEEbCBqOnjH2Mw8IDUenmB2iUoO0Rt6oAENIjx14CSI/VIXlSxWjEwAHTPpvMM8FKEQqkTfbsCFlPxlEJof5DeaaFcvNHjfAieZt2MVVFITWUbzhqRwffjmta5qaPZR69kdFxaT8UhZ00r0S/knkmjcrs4ZNjuNW0UW6T0f3IDkUDAp/TEYNkCkOX9xV2fDEVqBKGkIyVRCil9JEyRXoZYxTjUAxc7E9cMPBuNIYypibON8KYgfw80k6T8SSek4+8AgDMCjt+eVk1harUx4OyIcmraw2jaTLlYZp4QRjg6ZA2lhQJ8T8ZR5nAGPq8S4/oyTOTJAIkGxEiw+qRHLccjpcWFV5dZSflikejNkcqRoXlgJWVrjlgzxEYaZJ37LuMR6FJTLXloWGz+UVbHx1U5RdV3tH2iH2M14swL3cLVD5R8NF8o/LSpWnz/hURFGhEAS73g471iQg+iYGGEoe3Gx+n7eZCepA9F/Jq2st5YBg8tvgcTtKl80KkkfGIcZnyzVhoypjUN1UiD4R4Id24rjVkTaUKpKCMBYvL60FdwwUFZFEhLL2S5hSyhoXxS/nwzg19lnccS0EB7NJ3SZq+7Q+xbUKfJnNhtnZImwVddApGE4YeqOFpkcsIWRo1WWXtq6Q5IN+axXpJhhTWNPG5AnEcdijb8jRyRXOVEraiPcSNK2ldj0oYlj+vHsjPM9IUuoqKS0nuaxQ82RxUodSsQimdBolCVjJQ6fJopXHYNRtJ+h6JTMDzpHnUKN2rFPNdqExDlIN4N6PF4HKM9lya1x0JKxKDlMdm+RfpEpAoZx3a9ibyejQiVtblzrYolQXI6ir2JbL3EcvHr2wa5vsdRVIEGUsEPzaY/yfpUVoSuVeIp/bv0nzH+wl1JtEMCpS+UVX2bL5O6Yj8cBS+GT016yCXlRjNIlkOndcvxDCK0qoKwhjVlFxJ3aANK9VzjcGBxjNTWS2PpMtCGX2MVpE+Yf9WS7uafy6t5do7z8Ike7yc+PwSsYy2ZP++57zVc46J+dO5WuG/qowCtKlBWj+0NtH6ckJM4R2lg9dNbTwlj07jBakuBJlLVUp30cbGL6cpvEvy75N+bVDePlLdsrLGxwJPMBE+aSXBFLF/D0iEOyo8SKPeZZNiYuHM4qvWzw2iYKYJy9I9sBoki7u4ma4wa3xzB/02mCShq5NG79MJJihhVaZboL3qKCgvewx21aVHc+9blyDKJSw2bzoQhXPziE/2xENO3KANzDm/Q4/fV+KQMxjBc1ARiKMyz6UTb8tUkfC8qB19JQpEJPwoD4X5J/QkzSVYhoo0caW/BpHJpUYZetRWKU4bitDRtLeDbxZldsRa12JcYN4kRX/ciMmELTmPrjZJFN4af6tuJCnzXBgDAZIyU7lTKlFcCnFj/yUeslkfEe6WyhiMgeAVJRrLyEIL3RQq3ZOdjHG60T6leETRDXJuXQyhnqT/1OKwp0cM93IsrguSoBC88Jr+2Y5b1yopQYSbGppIOSRGUWKAM3kjzHVRyEGrDHLNO96OTu8/fE6P5YoKk3ZcJHFL8wGZV8JdnKP+HvIikzTYs6Yc7X2RabreuejBoynsaDze/t1CKJ1HSFt3CFTF5yFfjYfh+Ya8Q/8SPMjDpkuWZcFSOstX2thyab8O34nhR7NhkXlFg4Wn/ZO9z8oakmrueo/CpivEA8mHryP0fVNGB4dsYwNpvGxjOXsvDEpST0melcorLjiKG5hSX6ebMFJeTV2GNb3Li4GWhT/TDBryCYr0Zyfc+6qFpd9O3vx1TR14SnfPdcHAoBph+Ox/lzxYNmjqmngJggHupI4N62HARdGpYNQ8XbN0BLlBo6lKKU7+lOopGOGFv00bZu1Y0TQTPaK2pFRg/LQmW9agFDamq3nvhfatVHiVFBBZOHYfuLbOduVVUj7KCgSny1b0OZd7lDzSxNtvp+SfJpTH08KIcmtYD2v4e4nWuEYXglH5owfyjWIXefOuPqmlwe8rLuUblLZSHyuC5iEpb6jBooJEdp2qrD+ftTB51xU3ZFxBE40mtUXHOtHJw8eAXg4H1AmKNOlYvpS20X5IBx08607ZJ6TT/u6aazL2sXKZ4OE6lTBJ5oyPLeXJ55kuVKxz2jzLn6vzsSaLajSOyb9I4HWW8NLCez0hZpDJ0smUybUoBS3Ur6bkHGdOEeerinkma0/pf5CHmfEvz182Winnn8UlbZwHZOnSv1oefN1M2lhIi6/tfVhINv+EchXbJvyVykb4quxkr1UMU8SugaBHO8UJLgzqYfB2o0wrX0FJ/IABiQtkjIR3udO6JJhRAa9acKPliAlJnFNapjgo1Y2EQBMqrGNlAUWll1nAdSoKaH3WDH7aDtMk34FQ774VqLMjZl0enh61OrKiIwK5H4X3s5o43GqZyO3xKNSgiGHWo7TeaxSfmPaJYitsusF7DGcxhr7Cajpu2jFPxgxhcaETtQcG082mRRPfg9RFE0dkJkNZJU/YSJzMwIXFOeu707m3rNaukb6YjyOLGjkmWKN96Nr6IItrMqb5AkzSTxNl+WhMm8R488Xbt8crt142TTiBIYh9bpi/o2UahZX7U9KeIR/Xtot3GClJSFsnGzyleYfFT+ap6REHGYsupcUVq2HuHfrWa3aK3JXKrREbzzPXjDuR+co2G0ldTA9H6YejJyVmSPXAQEurZ2GDYU0YC9Nk3AVr8S7DGebVGdMF0rWDC7akI3mtTpry+CatkM6IuW7z4sy0KPQzmnMPMRKvtM75WNgRbVMjAoMVdeIxyMZkzNHR1y7p+9JYTBTCzTyTeZyH8enao9MpLZmHbUibKGGTMRrHn0vepQXh82fzO6Qp9EVHyxPiD/3IK9exumB5iM/YBpa6gcMQwiUGC0ThSRXwwetZ8jyINDTHbcW1KIRNDO7SfkrHTBwPQeimXuYu/Z/km6w5bXxaN0m5w2kkwzAOMSqbQ1yvMsUbVwR71u4I5aT8hI/HarfjJrcol5TZMQ3Cj3GFdW7kmNYBRTKnAa3xhDQ/eaUOwm+hLaIHBXnHPYfVDSGJzvjAZe+48oDSSdfCbIMg9OWmn4e4ybo7JGkGoyW25hkmAMVrgaLvlRld6RRlxNpTlGgapfSIocko87ws2QZY13GyQw8/VbaMTWRLOmwpbxLo6dpIZ9cbyLQB4S5Y9fhngZ5IawW0k2UAiCe/jMLl6Wgba9omPwD9ZJeucCwO3eADkBohkvYtIUmDnshUMFCK356wFA0vE/ZZknQEz1nOwyVyaXiWZS7wo4Svy+d5sQhpo2Q8UTOuac8OSzDnIfn7EgIf4IQ+o8XtsTS0RmCFsaKhtLfQAXE/pONoXyl+r/W7L4IMqDkbMKP6Tmjzb0ifzicCv6MqKWIAFlfIv2TswI+ilTbwuxTRtcpISmeXEcUoEJn/qTG0Mo/S9NT3Un0JNGnl6qPE81I6Wns58oiz58Icwo2L8hMh5Txo3uKeXKEts/ISnj3d35J5gHxTPc8/SQNt+p3POYqGYizPjrlf3BOmc2CHAWoyxkrzP1vnehkxKDJcEqTUnzk/RuuGr2lZIjpZ2b4nKb9jJxapytjsWUfdk76XpdsxJrLxTdokzIlddJbyzOYmRiuVSzI5umQoFWRLYRx3zZcrG7UHxBpWUyT3hs7EeliJmx8p6uLvEvS7Zpw8UdRaWGvxZwBRuTTOohZok2js+t8FyaIaHQJxAfyIrMz7kdxFKTFNdOFOJjqBwa1hSruU5TEfdkdmeKemWRKwKtCOL878lPMO+dcISJ0Lgmr92r9McVNIWBTLwoVcfho/pi+F43l2Esr+NvHFPi5NJzV5Cf0+/S3HAQp1NSQbz0Dadn3vF+s7zRGvRdr3EsaSGulITBlNziFV5LJ3paPbREErvkzjyEycJ4wvCTBwWflEuIISVaA3pzmPL+WbCVta/NqxOnD57z5rXkmgibTVJSWCj2P2P5lfHKKCNT0GvDubTGGUvCw/S9qpR1mz/jIo1ztfA0tGRnSur9usor95R2zpkxR94vgYuExhW6sclmgojm8I7/hmAe3TQWlL5ykhjXzzJX2g1ispuzyn07u1fZJ/Zx/S+EBGb6xrUu5ksz0c914y/gDt1+lcU02bkmZ1GKEfVK21g8LmZ+3U5sCUuWx+NKVsb2R8/7gQ0hhbRgwYKL878l1lIOteQFEORs5zlNN3deEYVBpmsBEV+o2Y9piyloYZbZiFuZV+GtD5qKSYmQkyYxv6m+ZJeKSEBk3W7aJT4ZG7eJUMXvjUQuI5NbonUe8O4hjsymdGSlgST63XbE6Qn1UZgAjo3WcFg17KM2b8Rek0Jim9ruclVOwbBvomPVYpxk6bKXnVdISxpMqVNdlqvLMYWKdhZSCTHfrUNR/jbO4cpZ+vS/KJFN10lnjVTLHE9wJmyJN29kGefim/CjpmrJhKlJbpFWG9+JyZYoLJO2ndU8Zud3t1vK/Zu1lR0NYtaPtzlemO0xZav4lpjtnAq5HilcM8YtdAOJ96x7khNaMYLULi2GEWQzzNED+NNMrLDwatZ0lIfZjGH93TqBEtLBLU67MUh1qBScJKpIElLzLdgtdOEqBAT6BV2aRX6eF5TDVt5KFbetN7M+k9u0Pko9YB1BN1RI9L3icb1cyTzrsRTW669WiVvGSS9NgxOc4Dfspl1322cUJmRMFLLJA9I5cLnI55HIZv6i3nXUMLOQ7Zow1Tu6AklsJo60KyRKZWzVyQinGmW0GNhisJxJkSDSDeduGdb46nJP060EeeUc/o7K7XJh14pPMGZdZrEZgRtRPQAqZxHKcHbGMiHL8rHe8L1iThT+JdHY5kS9/FeFI9R3pYXk0/cNN+5MVELYKHyDdaqBenQ+PdTARe6gmklK9opEC8XyOEMiRjjB6HHD3jfePh4do5rukrUdEjKKrDu1BPw+DdFgMyernAwtJKNq/Ce66gYP0zoxVtO3L6kjsvMw9636bH7qrk3ncUvM+Eth1Mj7wRR3ORvMa2fbgJQ456jp6CUdCmEdv4Di6bt2he4Z2oWHLsm2+g0bER0nO+3UDkZQ/WrnRdC+mEKhhCV7aydvYg8xihQQUvD33VTJG8r5QUjV3GCqJXdzOuUythOS/Je5rTkXrSjPrvUDv2zbno7T7KVjginHq2NmtmNtUTL2/pvmVP+0uY+2mdDtpwfMxzZVor8NK5EFlbjuq7nTNjknGMtjSFuoobd+xd2l6j7Af0OPNORRLJO8yNjDekdMUTCIZtHXgg9Vpn4yRDOBFl6OGGTpynKD3ZUfOldZ23X6yH0cfzPGh6kN6lc3u7lpF5hM63zjVXaig0unbDWKLV0IGg7He5l2TpxKOSwZ8WhhrsSvHjHN51/HCfe2CTDOS1VjJgUDfAO04zSU4LofOFZEji0k5N55fMq14Cry9aDqn+Sh7ELRl1KM0Z9D19FOYKPvaBrF79sLl7XqruHne9xnxJHpIikiuWHPktlaPLMKbTcyoYZwonJIk8rXKVSTHuJEHaDaBzNJuzpXaR1gUUnvEgfB5RItF2K0HeyK1YN7LJkD2nax3jkZOoTqCB8lrK1TO8nyZhQ3jhyGyNh8zKy5WrytxVw5PS9OI7SR7qgsuPIc/yLLV6zZxG+U3kc0emUGFtm80nGj18n4XsGyb8Fc2n+c8N9MX6JmWJ6dPfziV9NOGbCug0UC48D7J7kAMSZac2L7jAe2gDKE1Hu+M8oSucpMXWxcLh1zqNXBaONEPnP/meBvKTYDRjYu7UQvtDcQzQ/hWZdRaE9CNxXRToqQLt507Om5elmA9bf0oQ18/wW9hbyuIpS1jsyxjJWVKgZDyV6korj1d+F6CuW4zP7eJb4j6IFIeO3ea/mG0X31PKk9VbmBdFXqrpU4ncV+ALkvSBVBYozaGrEOYR+yBDUQkLQLImqkFRCTth1Ax8LcykjtaqQZFOl9dZYmUcntfWKWFUMiVsF/ixh8p79T/qJ2MJ48ZVFyXqNetcWZDXXnXQlNDMNyD7oCYOX5yq+r+L37VepBK40Uc5zx5pr4zxqXgxR3R4H42Vh5aXFMRDZlrHxArflC4oq1SQsdHLEj/GJxuXStoqeratvmaQ9JjgXt1+XV4ihQ2PIjqSjQI49fTrSlcT2gWhR51b6B4BPUacBittwLNyiQZTEmY4nrONGDGQkL9wFOOMmHy6L9GzrHwejhttVJElJTeTdWwSIMrM9tkY6UQhj/AA4blUdppdrLuOOApq1sBsUywxbilnpl6hUTt/0L7LBe5x4Nm3FMTp9ZJtrJHyU6GcfmY6xg0MY8ptE70zlGMFypJdirWICXt2Tgw962ZlyLyTXjPiWB/Hq64vmKcsp2MsBBm0sg9lxioctYot+rzz+o5+zyRZsIpXmhRqeLOZZlGiV8t7ZU8ToV0r9mUCuuqtV70KBmc8DZXPrFgzaubnFd0P2gxnGH9F0DlJ78YK+bEW1WEFnpOf1Cad3CYpYaOBY2W+vfe3q2TwciUW60WSJTvS6JJRa4xIKWakhJ0BOuul5lnAJMfZDNKayR5wjSNZGsB39r2+yGkQ5M2VUNdd9VgcA2ugfGgesWsiwgAM1s30OXLBK3rGBc/ZkhVzY3EbLZlp2GkSDlA8ORWap1IaKR3i3Th8Q07ZoEnpF/LtEEbEu2xLUaKnGM9c8GoRmFUkXhmpAjxJzrlRnTnSfvCjO9SiB4Vs3S6WQyhT6yE2otsNXOuRx+6Sc0B63Kp0hCYQ75vkiPVAN6yDhXDFJqInXmJcwM0sosMGY7hDr4kPYnkdhPys5oR7DoL3YLzjMMQVNt9jnVLPXJcuLJnnmrTpzpjN5F3s/42vU6AL6f+kbrxTN02jR2QHUyge4U1ppfeb0vbzpM/SOgxt4tMwtM8DGHnYDtM0i0wKv6MqMuCERtZ/HCmXa+6hDdbO0atI8m5jiHcrh/B0bPA8gze3wFRwb3Hn2/zDu+wO4iHxwAt9j49F5oGUee1xD1Fq0ECTIf1Lstz1rLxtomTOB+vvwZqS3plI5tC2//NBJ5SRCm1+FIZ6BRatjMnRzYlVMS9LmPNB+xo7/lW4x1e14kRel4GGrOyunbsyhTC1BI3rjVyuSINrx7cDGWs+fRfnFbg2HrNA5nfABmE5er3Q+YDf8TkkeTY8g5uGUPlk/QzzPUg4R36TuFwpLFo2u/Z5AklgCp7WytG3nnqtstM0kjs8tfWZKxMTy3dSBiBaiUrez1n6tD+xe42TYK55Tu+pl9IR6Rb4gOZuPu7BOsqn7VOZwhBpWRKLWFrvydhK59AiQtpTrq3irM682FYjT1aX1wV/JKVL5ieg6dO8PwKRt4x9pqtvOif2Ax7Ou9AmXuTdu3gC17E+8LwCDfSUjjZgCOPiHBHvJaZ9hhe9q20NGdJrSNpnyUlLilzRddxuiFt1jU3NdTo1m4rcE6PToEFY+zuQnaYU7obVspKeS7wKetLC62ygvBsCbkB5TifTRKbq7NQJvq42z6T6o/KvZDDB31PvVU8zkLz1hLWJp0vlw/iMyjY0TfRv/4Q2JvtJMqhv7m+XlLHSnFWjeNbmuhJP2QYqJdxEDe0feQmJdjrO2/zD1J3QENaPyjmaet1K/ZUb59S2YbIGMdmdp8nj0PK0vBYnvA1Xsx6p6fB8C/Elj9QQ3zt0epNTmSSri2RToiINHrZGQVDgGVTlGh/rJJ62LxjpYbybpvgoeaLWzB2ip3jcN2RTqS/0l4ZmzetSokWqAz198h2ajfFao0R53gBfD0I6nv6X5iQ2H0i8QSszk8qi9HFagCgrtns46X9xXqLfnE7+u9SdE8NRxg9nMoSSlrSWhld9+FvaNgX5R9zPoO/CGKs4iTLk21Y148WEMFLdZmNBayMalrcneSad4pShNI45qyaNfS53QShHCEfXSlK24rxFUJxzhPbt8optA7ckJvQCcO2PPI60ris0ivVBx6TP6zedg1zbtqSPexqO65FYfCfkAWC1cEddDUgwzBSt0NRMgLVWElpYlQnSJCHXKfgWsaIsqyutaRNhoy8pNXcXDchHyjPk69g7B6K4cm1a/MgNacODMWKiBQljCqIgyO7zinEVy+Esbek+HKmvkQm36DEXj1Qj/9EhsIS06LGxHnGjU6WdlrGWEQvv6SdAume3ZnjSdOiRxJnwEPoH0n5C82Tl4ZbNxcU6Mgl5IC0NWRDKadfSkt7FdtP6B5R3lKYuD9hESEvLVoonee5QuuL/YEAQ+pjQH0W6WT4lSGHSTRoXP3GTi4RL+6mw+SWOYzp/pmMzG9tS/D6eJ2TjsvdGmmLJLYaTHit5dtFCNzzSiEJg4U4wroTNFK9Zhun6oW2ES0YfI3rrvejjcaoVED1jA6lEcKZHpWv3N/P4Ko207zkWhn1nm8dSFSRCmMYPsd+SEMPJFASp5HepvePcX0Gbkkf4r/bvYDQSld8+/Uj5KmGCclcvRzuHZEIv51dY3BgOLJxT+o+QP7r6tNBPxLvXpbDCs1reICpFpXpB+yyZx4U5vGvezPlEoZ0zuvT3ekZdfDCSuSzQovKKlfOQQYe4MaqtB0ym6QUebyZpUfm3B7r4ujSsE791mmoSlcdLkaaSElb6H66zEdDFe7YEKY+TeYaEE+5j1eInIHFi2l31XLqyg82LvVG4X5ZCNXJiYdR2rayvTpSOsu2og9qTj2q8ySbhKd+VxthtmuShvKBtIa2pIkE9MpbkHWnPBIW8a+SYGaBLnukcm0TOTD5AnPfUOp1EucZMQy13JW/Tyno989T2NsZZI3pAzFtLm/KtnTJ0/ki9t9W1/+P6SmVFh6Lnq3oCoMAjV3vPMnqqy90Tpb3PXnMcnQ9cO7aSMTYp2ivWuzrjucrsfLmeaLiZ5FOLqrHn2beQxlh7WF301LQNjyMgmRfC3okkx1bkpaIrfEmm7NOmzHCsWkG9EmEesWsinIMfDASFSsvs5PcsCqdqd1oNp2mBLkx0QaODhSsKByRMsFjg1stS+ejaWph4uwZU0WMUyiLOrfq0eiJewpFmulEZ4oX6iN4fLmcYkg1Gl24cNhtW8T/xlG2tWepmFi8UN/4PNIT7I5M7NllgydqSCxjBA9X7kXcbScc7ZPdrlgn3WR6ZohEYefS6vG/ETXZa98RrlVpR50JY2l7Oo/Uc7qp2UofREsqhXdwIfaoSjedFwjk/utc3JiWNm+W+Dcs31XhdEaaY5lWyjE4UjSFfYZPUO5dYiaf3/ur3d3QetS30uzR++3zAglKDg5A8H0uUTmrJBtJmiecby38Q+xHLdzD6kfQ5hswaV/BEp4o+XoOxfMl8DTJvIK9TsrGpza+J1WRIVjGQkIXthnY0YzD0jWSCytMLHnXi3BwYW9Z3Eys4SbmsWWZ3McrOZf0HUlx1/SB0NRiu1TZUVk7FKjVsisTwbN0IYRxtdAfijRhOzBDmNL5OkedcqA1er8F70k+NPpmyFWztahRfo2cemB69GCwPDUjSa6yko4cmO9o/khc2mZ3Q/2K7oJ2LQeZBXn4+BmM1jfiYTNFO68m37Ti6KxgtQUq/E8cPN7aj4bJB376PRaVjISkfuz+WxnXk/RSjWevTND3yLObdWNzHuSK5kxUjLy7RBBrZeNTKn43JJgw/kUBE6KN8PCcZsOe+oZnSlhnLtWXQNupjXG1+Q943nBeTG/V7Gj/QzMeDUD51fqSCcccaQXmKZG4M7TgU3gGx/p1Ul5S3ToogjDtDjqHP6457QPZKr/3J44t3ektKQ36Xaebx4rIxIBqCcZmyVoYroa9irEqRRf4QmsU1PaOnrUvtNCXnfSpnsrBpHinPrfLZJdqCd6GYAzL5JztxhYbjaZfAvWYDaub4kDc7PSbhM6eYJ5pyl2cJVE4M8yFf4xP5rklflAUFAz2KLJ2MmBBQeO5bHjA7oQDklKUKqKcm8TWT0x5eMx5Tz4elzdE1nsgdq4n82zXmQz/V9kUqIcbjyljp6GFi2K7lzcvSpbjwyOfPzrET/7B5l8UX9zS0OQDQ5Y0aBN6VzGpt3yoorglPXzKITLIqhdP6HufxlLS0vSApbODzHKM/4/M7eGX1eXjH8yUyVHKSkgJJ6aqtMVEuJSctSactxahS/wsnMHF+WXiW0RD7bn0HpDJgraKHyuvafnepn+jEKPkN0zUoiyb1Q7B1OesHYe5QntfQScafVHd0PJSMnqhsnoGMk2RsUBpYetSLXcxLGF+ZrMPTpFGk6tHoEpKJck/IS5EtxXSUpkn4lDFYZjHPUrsosjDdx2v37hmv20Ruq0rhPSDX9eqkjDVF7BqIeITwNMhE3vSqsIgNiQKSKUc7j4oK1slanAqrooypD2lNkQleUlo6opjgCiwoDF6HQrCX9TJZFPkiSC1sw2ZjQtcAo2NUlQ0jPrNRBiY5ujV8NxMY9ZBNyuPopBUSTXMUJ6AgZAYFE1NIxjLS5xShbULYghIpKAoz69wpN1KqkDxFIYh5tHYiCEokbtzIHrDyufQ/ZzjVY7qQ98cijZoylsYPxySPey9Vk6bnx/36tN750cVqeQLNjtSNwByI6cRxQgU719KHkXIyHAEsbwZzDlooMz+COJaRlYXQFvPkaVIBm5U5y5oLNYS5jZ5jTf5uSObCZl5L2rzj+KhkbEgbRqFvA6l3IveCKLRZFKYlxRCbV1SLMtqOkvDAN0ZZPjSvqGwVwkWmjtSbJrhmfVrYvBgx723ZRYFI2czNFBodc7Bq8RrmmYEjhkut4CAyx8n613xPt48kAZvS4R3aDRE/Gp/JUdJ8rWHIPGFd+zwoUEeGF6N03TSLP8X+h/kBDpgaFZ6mg4ZePwAGzICD5h+fg/A/LnlRDZp28RhkIOsb8bEHghI2rrlCWK644kr8pA9Jm1/Khhg3PvBTLtItCTwOLj9SvMA/iX1bCJ/0XVp/bPMsUUKGtJTxM0ojPyLS+aZv83ZKaEz/R2ME0sxZ/5aMPlDoUpQ2Mu+7oU/4TE0ZKgqKwlyUzCOhvnhcae1GPr41IxrK+4bnXbxPtunh2npOjAmIAREtC523i/T19cR9kEPaYAw8Sum6lBWCSZ3JpfAV1Py418ZLHyUskxs6kSi7ChELSmRRcQbWZgo/ooancZCPfUmZ5R2yK22yuANOo0RHiUY27iuUoeLzhmfsUnJ28ZWdIGsL31SX5kytPpxyrHFfpLwDEOTChHfyLZ/FyxLV7IU2GlchGdGl0G/QSxkhheWGrEOyzpTGvKIUTXm1jrjU2HuGqO3DtWmF/SxRrguQeE6aBuFfYxQ2hhIZjqcrKPF5fVX1M+9bxWvs20pYwpsERVXNvFlEKF9XvyjRI8jZkhK2/c34/559LOuXkVcV8u6qF4nHjE3bziVU0SoeORzWnUFLR0khK+ZP+xqfE6Ry9Ky3jIfn9djBG8SxR8ZSHDOKMnOcuVY0FKgov1eeS2kX57XKcavxQ2rfn+m6I7RfyC+sl/HqFmk887msT54180NHndYqTEWjPEoHL4OUptSH+HOOceoH8lyUhwnXZ0Ke4/lzjeaVIed0wBSxayqi5b4Tn/e93ycy5sLRt8l7CO+FO2qyfJJjeYFss41+A7pXm4ZxBZY4SFOmUn0moMi8UlDrbw9QS1PJojzZTBYzZnOUb9s93OEXGCzHF5gkL7SCtFK25D7KoBQS4mQMuSYQDDnxaJUrSrrjIvY3kmfRGqmBb46PVRclVq/8XVefTOII982K4bJ3LWNL00m9f1gYSiP7LyqoAwr1oNLG3qVCmcvDMxT7P68z1rZS24y7ucgF7tKYSvIbEOFDQ0kZSze2urw8ko0WQgsVDCWmREqLpUvnRA+fjPF4NyUT2qKxTcfGo/MYbWqEdFi7cWUSgLgJ2HdTo2quJgxcUu6uvFhX5eG74jtPlkWlP0kCeiI88DoU8oi/uXEMZZq7BEhBeOZegAjzEGf0NaEqiZfPWyNhqH1G7xDihkxJuoW8g1cQZ9a7vIli/4DeL7L+GsY5GxPqRqwgHPmQLt14kfgn6mklWSwXQBW0kqK1qx9LcZxnJJR4LF43NKL3rZLVk/ondSEZIeREpn/bo+9ZndaWmwnVsW+AzFthTPK5nsWNeUn17wp3HiKnmSoEkiKTMRW9zIX6ao02mowkfofQwTeQeL6tp3q5/2f9m/dnw4ygzW+Sgq/aM4TIjl0nEa0wCAZVvdHXE7YreK3itRRP2Hgu8rKOvHc92lCAVJd0XEelYRaIzX80LuHdJOO+ln8h5/0IyqZszqLyI1eodvDYXV6nMUzpGOHCSUlRHuYKPB5/Sm9XTUbsq+BbKUYWauboHjM0LBBlLg2SUcLoOYsnyFpiGIQ1vJCv0pYxvRoDW5pWgcYsHPOilqDyCTVTgaQYkvrMDNZlid/TDBhEaIobIT01LS738NelsmuQ8gAq1ok875pw7XNW7kK5kmiUR3RNPMrHCjKpTkP6VzP0iYa8Ppcjx4ZWz33rkafHw4d6leq3spsEPlkbN1SWr/IuZTQXlaOMZrGNx1geNPlBpKOHbFbOtBBfW4O1PEO/ZzQnBt0SbXRt4t9g40qjXUu7MI6r9h2aNEr7GKKMy9doMf9u/YQWtzdYW2R5E7p1I2aNzlUgpzCYInYNxOgYwSGoJ2zrscE2kgD5jhhBeVqTL5APgpHSz6UdOqQflI8JPcN8YWEb3V2CRbJ4MKVRYIIl5WYbP4zsXHCP6cTj84S6DfHo6ObHbEn/h4AbtPUYvqVjPbhnSnv0J5052/LQ4xijJ2qopzAZO3Z0oCI3tgtLO8OFzXdNiMy8P6Zc63VbC+LNGfkQpqCtFjqZJWpAIiRJVqqJJy0rGwVnTAdtebkCPInGuz5dDJMFxefegQojkKVF+zBbUDOhlS2YQfikzJm0cdd6UbRlCsJrZLBDnw31wvuDwLhEBqgwL8V3kvDClPmd1oCCYE7DSwo16llGj1n2bBOlVYQ0YQTvcw2pVRjZlEc6Z2XWk/Q/rUumxCgaJYgENfPHIBLSxvfAYNmoUfxaA0SlEYT6IDQHJawbOHZUNVr6h8SjsOlXfqqdg1tFs1yf7REuri1DNmbYukmqMrF4p0yxNC6F/qwxtYmQHzzEMk/mvK1dY1DC+xpV1IW1I4xlUWnffEsCeDsXMK91Gm+6yZMcA5XMD+zeV3HzT5ib+NimgnpUuDYetW66oWnY1GVYWwcuGtLwI5fF8iTzT8eA4GsJ7ReezR9koyrZrM4MFNJ0E6VreE/7OeVBeJ/zaBWUg/gooS9V5Ld9nyqXY/wS/zgU0mPzggvr78ClZSK00zlMKk+Gpj5awwWXPI/9gechlFdqN1Fx6fJwNN2YVqDNjfpnUBQ7n67H2fHFIPFAPDpoFYS0h4ietZJHfLahSfNnUO+KTPhdpPXN8uH1Qa38k00efvoAq4tkXk4Ymzbz2C+ldd3QC30VMqrXbOiDTBkLtGuCH7KwguEIv8ZFNNiVoLyr5m0Yz1iqF/VdR12OpRxmxwzneYbE2/+Z4aUDPJ1I6Do/E1oVpWHCb3QoY0P4oIxN0gZG6QsnmSRhKJiSNBq0UBoKylTn0XpmkmOC+Voi7ReE/D2VYWMgRiP1xESaPk9PvR5IoD0ptyL/Uv7fs64iyqYKr1QVloI9i/ELCkvx6HR2ElJxkxlp1fcdg5lCtXR6F8mXs3OqrMf6qmQwkPEx08I1SkjDZGlqpErFEHgwTwsk8UGSQV0Try8NiTwmpD+KVPYu1oxHZnRUPU+L5FOlaOI8GUmLXx2UKOJo+h35pPx0+6yomJNIDWs3fKGOed+jfUA+7Sy5+zV887riZSX1o+4JecietaiIq6SX0cNp1OiW0iDPxLEg5OEdo5nlWaOIkwycvFD3xT7Cw2tjme+P072AWgbd+yxsdq2WhNK6I+bD4mnPSnCEHw7ySJ9pRarninUzi0/kK3WeFYzkO9OTEPkGp9MbkhP6imYMJO0fZLwq7deq4gKxD3UZHo3Fj68gmCL27w1cIcpfhwVSW5SU59KiO7aVrWZZ12Uln9HU/Kg8YkajWRWqOCRra14WqnztsvTqmrj5hNQ80zzsEsZHXNib96F+puXJLKlHbnUycK1gywSUhOEO/ZALCkTILcIJgpogwHbeU6uh8i4hGqaTgWIb/lWWpzzthNFy/Rd3ia4uOriQVXqvJVF6L1mA0/JKglgXumgiSnFAaD/Wt+KiTTdSwMIQIbzESORlzYX3qJhRrJ+5IUS9slR5zAS73qCb4DSv0lisxaBQRt+GCcdGq/lERbQubGeKiDDEeL0pQnMmoNWOzxCOpJtsUmTrK8mfKtX5GFLGQVV/KQnnDQMsWjQzGiQlLE0/RiXKWH7EVGSsA/Ne6gsKvUnTVJ4oIaGTr9FoKwlCKAvOnVNejTAh1Zuw6cMFldELMqdJRgnSOFD4pvgz9KFB2zhVG0LCu2xzrmsTJAQrzctC2OxOJIG22A2lTZGsPVzG24b6DPRkbahlzcNKcUjbahulSZxS/UhxxmD5k7msoDCr5ZciLeG7zzz8YIfLDVS7wL1kZ+RNl2yqebU/jIvxlJ1j0sDmzxWCRp7UNraLkPhdFNqvawxVGhAmhhiaEpWFL6bFadLo0Nqxxz5FjXKQ0lUtqwQUTp7qSksK07XZWAspnVgX48ixFTJjXZpkPQ7yknD1lMqzVY6XoIAXUervRDZMyq7EL81P1W3IZNsacD4ozVhjTAv/afv23LfrhaJBjBBWM8btIyP1mK9KymCN161VjHbWpTRWlTTE+SW8Q/4u8wKkawMXCSVjiTEQZUJ6bU1FN4+nGpHTBvPE0RoMk76rOuuocnUb3oEIbpoMzekRxk0nT196JgWr7F+9lJZSfXS1t2L4ngUT5pE8EMuf8yqlstS8m+m8xeUR+kqSyUttPoF1c0Yord096qnEm4iyb3xZyEvriyEK7yNrCEwRu6YiCNSSx0KlsK0yr5q37CB9lhxV3HiiRHoky2bixZEgeAMVmJou+ClZ66l64mThWjpGD/I4iaUvAAzQeqku9839kxjdE9u8B5DVRbKYK0cZJXfEYlSGdtO6pSfe96odVRMEBMKQ+UbB6li+fiq3IolpN94s4Z4++Na7xS0ftoqFKXnRjc8aT0IfvGYbxWxiIS2lEYR65X4g55F7WyoTetLPNKthIQ9JmcfrK3qpDX3L9GmgGwoloVfZUOGMOBUEW4WH1+OTuGBly8ZiXDhdWq8e8rGgIQ0uxPr6MRnLEQQBTr9TnoesmvtyM0UqIB/5C0QDgyBYx/FC8kgskkl6NK3YL8LGAX3PvOQSGsK7PpuDdP4MzwLzS/tvKEOhrwXr3OxejCQQUg/bMK8N0swSJWKIKnj5a4rrAfeQnTVQmbvUajLvhzGMMM/SI2+jFV+mVPRwQ1Knoe+F9LQ69ST/EDR6q6bHK2dKVyk9Dt/WU+hH3iHOs+3dOmm/SgS1YM3p2/YXxxP1TJ0ONHt1fCb3qoZ3ZMxmRw03gnJQokavV+JZG8NOsf/0tIhYFmlCb2kU733hnpQ07eiN62JaNA3n03rmxg+8n9M5YjAkayItK9owWVGkKYL0t7h2E0E40ofAF7isfLy/qnmSeqL8U0wXGNXrABi6kcf7YNlwVH9xnaSFlL1h07uLXRyjyfyW8QvNe75eN/QFZUHmOcz7g9S3Xfqcz7OR7kgjeRl4xoZfSeLSduPF4c+Sfhni+/gd24Cvl5w+nqZQZ/CI4yLyuKoyh83ZbP0RDVtcG77Eg2WGRHGNaeamrrnywQ6yPldtnhL5pdcmK5NJM69Zji5FWWbI4CDJar1lR85j9eG54lyQzu/xtU+f0TknO3aby4kVSLyNKR9SEae4CdgTyXil8/SU62zXhIcmPDJdv3w4QYby46EYPdor0llYR0vpSX2rKHcD6dynrP0xXqUBcZfCJdIFZApAydhX3HMprEOS8VUiI0+RsriWn2vpEApQ8vgNwSM/payF6OaZk75WC+Z9G9OicqVDck9yqa/1QsH7Vjx5iSGTXxVwGWAUmSemxKv11Nfy1dBxwkG89ibk1ZSVGxhqym2Jj6Xhu5Sr/JnIA2YBWZYSbybxn0oYLqekibN40jjn9HTED+uMeG2BB4IxrR/D2CvJ16Pdfwj58LthI8/o4vgPilHqRRr2MkZzkY8yZhwTmXxA1tWaInCWVCh3YmSMjn7P597g+Y3WU1Rtx8L8GbuVR2cf57TE30Q2kBRpUrq5wW+edi++jcon40yvTL7JZN0SbySOfZ/PmzX8mDTGyHO+XyOGLSVfCJO0m2f/Of3hd896obQGuY/L9lzWrNH/SDJrRkPkjcM7Jj+shpjU6eyGlYhVer8HxwB5L+roVeMqW+X8yaJfwwyNAZXeWsHZe6Bm44PCCfny45SkSZoIBzz+iOF26f9S2L6oFIyLiloJmlK8R/p96YlZdy32FR65Uv1WobT4jYse8WdqZR3SyK24E06tIpG6sGIdS+NFUcKq+dKwzrVKVZJuVfvGecoh2TxMFBAup8mhPLclghGhVysPZRwZ1HJoRjQ1cSuQjBHFO3T0ToqsJDqTtSBrg3I/WVVr8iTGaHVew/aTgAts6BbGXVTa9StAptyNL1AYH+RdpRDD+3JiKS1G6k5zRUGaY4so3EcuoiNsZsSG9P8kxkaRXpo8n9u0TYtxUFNnYYofc1yK8fgzdb5T5uhx+eJSnMK4La2r6iZpQ2OfcZL0u8KaZsgx9mbppKDJTrU7EquSdsanaPKTKFOtCLqVJJ330ehxUm2djc9gaKgonbjycUWug52oNWaaMIp5zOQUmXHjThjZmpUdlzsZOqt5gDGg7/Gs/otKjXK+iB688SjdCbRn5f5NmDOKc4fSRH14sNwjtD5uXQaF/33e9eBBZwTPPlI2miw2BrhMGRRcorw5JqJ3fQWPIfXxrn7fOS60PRm6LzMTrKg5MAboyj/f19P3kyqJmlDcTNboAz4GRIVsKXPIbdy3vUM6K3KvYZLzXmkPUotSyl+TjXvQ3LmWrCKYR+yaiHBHHvU8JdAWhOhBG/5LoyLez9bOHDxeBL8fhm7OSPcAVUK1HAXk+zpi4Dyt0j0G2aYZt6ymm4mK0OOW+xg2CtoVC716hwJXqjik1p4NfcED1CGto+Blwa17/RS52zEohafSO9tUZSz1um0yDJtgPC5VLCVequF9dq9hW1/R2nE6Pb7YF2Za6rE7nOXis3iMqYQBU3wBrYdV8GSlwZmXEy1PcqdteDzNzHZiOVgc4snWWnoiPqP/i9ZuDtFjOdlk96P+xI9QSbxlSR1I9SV6sKBllD3xqOJhRtZWbT9PrKWl4gwDfaPyJHeGBm9wQQETy+/Y3JHR5bM5i3osZJ6qweqZH+UpbIKoC/vAxTEaLVdpI/tUkVI2SGjKS9oSwOi+QN54fA6ijKDndOR5jGhp+g7Nk5AePDejh5f3o3BJetwzNyTe/POIdx0mddTUTe5RS/IHqTdeVi8IcALT5lzoxyx++kNOh867XFEn1tfoedIvA60Jgz7yvo2/49zbzCPcQzPxRA7hYwFz8nlZk7khLR+35m3TcO23a8ofx287p3o4uGkwr8aW96CbxbTumsPvSYZpvqKXbHNSQ7zXNrySjKDo3Ni8i3e9kDI639zt7Hg9kzIjnT/SeoLcxkjn39ifSTsn6TBP5uR3UGojNwjhcyDlDTQLVDq2vLQJQtuJlpt5qrXrYrsWe+LVnllFk3ErKjYSj762fKkXtJBeKCfPj6QlljMhIKe5TQDqVCFZG2snd1CP+LiW8XWB9SNxXRnSwrFvPtalMirl82HuEvpyTELiBVj5s7RJvLCGuOYOXFV5xefLiew+/p1j6MU5KiCbJ+k1KwFjeG+2+WsZMwZjwN5pYKeLTAp9FA2SYUHss4J8FEH50FDPHXJjOCkilQWVO3uzyCGAljjyuSbmK0cV14+Et2naJ/DRgS9oUhINiFx77U3yivLjvL8EdN3fqfDspc2/bK6eobFx4u3rkJ7YE+fvAkFC/kUvPel90n84kUKedN5u5nMuayXlEfLK9po86ZJSXZGTpeh36cSEJEvGn5fiJnIdzbOQBze+jXxV4WSyrr5TnCNYOHVeKRmxCqA8Rv4SrSwQ/oPJOoW+RfMoGQYnpytJaXJ6gXb8d639fJ7gex2kHqu8Z3mfqlkHNR6sFNZ3PAOjuZRmSEbgJWuUSkn5PZPlkL4LsmDc82H3s3Jv1XCtTZL/UHgnzVMJT+zbtmTrqHTyUUw/vG/S4TJiljfJk8qPNJ0i/5CNV6jtMHrvivufkU6hj0nreGkc6vsgSOWoEoIcr/X1ccaAMAclwQNdXM6gchVHcwJAtp8b4in5AGz8gD1D/i5NRHnn2XvNGYPH4cuqNteE+NnpqWjbViFZnCOUfSEhYF0wD6ieq8npOmm64j5bRkLDX/G7hmNaUuWuXJhH7JoM6WLymqOmAoIF/TgWblrPYUfN9UG64FdwFoyx7eVdo5DGBWsXJsXSsVo9vXrS/HpYK0sMkCDMVjGUMXB6PKb0nrcjV8IGxVRpkaYCaA1tUfnQFZcoHj0R9qOyjH9Y2dqNzJz+oCSIizPNX9gYHxGRxq+BuhFQ62mJMiOg3i3VlKmKzoSx6RBUucAGpN6oXe3CNiZKdZDm65I4/NPHyzEod9sHrfDpB1La7MPTInnxMd+pfA35Ms//mA4fvy7PI0kyMpQufVY7XXOmV/qGUK5CHYl5ALHeWuaXbAKwubqTbJ9/ihsJBXqLGxgB0nthnKTvQwf26RxLntWAx+sSwCJjmqzB+kedM7jAVNOn+tQjoy8Kv+TIKn4EozQWqNBMlcrxEzaFUJjj6bqk1YdWfha+lvfJ53kvb2iHsKRNZW9LumA5cJ4wMxKhfUZCspHR9FfSv6iCNI2Xl0mkuWv88DJVQvUqloRQXid9EcdQxbzF5jsxPO/nhTlZjEv6Ryn93nN3CVIbVdblxL1VHmSIc/dAeMYxIW+UiWAGclZ1FrWymCAv0HcYoMhfZuhTz2z9peuWTI/yuxQuPOqo8hUyFgU+fpWgxhuSK9uCwm0leauW1qyq9aUrrZnSEl/Wx9Pae3Wa97v6ZCa79lXCTgCer9sUk8qvY25J2ozzfgUaxhr3RSOjHslIefM65O3bB7XzcQVqjEnawHyg1dHRdx6pRUmJLSloszhsHVS9Z4msrt4JmzzUiNLp7UyTpyPsX6h1PMYefXW/nCEv37Wv2yuvQnhRDpTkoZo8+shHGvqMh1L6irwlzT8if9e1x1RDwzio2f/i+Wd7F5X51KTVlYzW5g69x9aKgHnErokIEzM93i96RYxQJVAGC4Tg2UGtchPPBg9P7z3VlJLOAQMvd2zFUi8qOvk7qlALoEcgDXLBUywzZ/zoRjejhdOaPOd33iYZyIjeA1M5fckdP12gdUXvA+TvYtokapgwh741BuSb+5xuGp9ZeI5oGIoeiK3ldLo5zJVaI+ubxpKxURJ0CWN845MqgX3zPNkQp/fjTLXjxTHlWsmaMrQfnbS5VVikh0cmC2e8C46WpYYJpt6tjpYxpBN+jDp5cZMWrqHfE+UFy1iiSRCawr2tCRMsMETUCtrxfishvCN3MSYkNXv66gYJ68u8z8R+SPomt7BNrHK9QG/TH0Z3M3uxfmjY0R0lg85xHhVJLD1uJSx65TXhM2ZDoIfmxe+EbNMhc5NiQQdHaCFCTrxbJYQhdUlpSzxbidLH07KSse6k8pOyJGUk8Tst6On6QOgSw0r58nFCfmdzI6dFoS25/4jEj/WheYoxxW2YZ1ua23rm+XtWD6OAAq2lzXtmcRjukaV5Z4YqlJZkrmtoHbbhaNtHi+bw3rm0LzjoFteEb1KNVEI+gaeRyhvDIM4rvO8WFZZs/kzSIc/pezdsPHQHLhoeFedUvn4M9fCiNWnWn4Q4rj0hg94526noZ3SGMibtTPs5X3c9BE9rEj7MG+FEA3aXtcQzZUpnMn+JytfC+M/S9STdZM4h63hoT16WMCZoI/B0iGV/DBbXPpf3X0ZzlVV3oI3zZ/Te60gPqQOH0VgNpx9Er/4wTxMP+Gbs+qZf8XZypF3R1FFiJGDQERR2bN0M/SORoWbi/UrviaV5SV62tQrWmWyYKN5pK+TYdO+jV3rLk+X5iGOSo6kv8e453l7xRZM+GA1I+QgRrJ6oIin5zeRCMU3fns5ElRvRQwGpMW+nweVUWx6JR5Ku3eFeuFWoUMAm8zr3hOwRPwnfpNPHyEdUxFR2aZ6+p6yQsD5lhpsVNNbSl/EZfeswS7AzegvBEDiT17P0hfEMn9wVG3iXzIgUwjgUN9l98o7WZbxrmkeReJOMduEZbx9XCCulR+Sz1MOwmxZJlumcpwRD5jCv5HsRqWFHRntIR80rDxv/czoF3k9F13tfEYYm55HvIyQBXPIu4atoto7VIfdUq6XLQ1e2Cnxr7RqXedXCpzIGkPRJer9scjockMil8XQmkH0MTjPjubU1nNOdnfhExgiI7NSGz5LM+nUyB2tt0jWNVsajclTIM5vbNY9GKV2hD4Z020wR5YbkGUmjNL+Ie+JUdlLiieM8xA2ypBaG5yPR3RWHr61d83jGfwpxwjNHgpfW8D7rp1a3PP/OdAQ5Tqo3jZcgfYrK2dn8LPHrffjDFQBTxP49gwrDFJIwHJ5PEQEnbHKCLJZw5ck2bhzlglIv6zHJgpALPFneISP2X6BBvPg8Kn9ZJIWZ0BgHDDFSIjlyTKJGdjNByncScIYoZNJ8C0fpFK1Jp32+IUEhHVmYKL4xOjZ42AgCU7kyNuZFhZHw7Vy6ccoZGO1Yn/COerw2R15FJWsHuPCeCZJ9PZoYjZrgGDZg+3R9Sl9M3yFugLjAyIWFB749jrBj0fZwGEwPW8awWawyZrgwzILATjd6EkWTxECwdzG8Y30EdCFtNs89WuUTkB8BJdA3+tG0NcgCT4qnWyA2dAkMQBR23Kj87AA1cAMLP3DwswDvXaKYilk16SVHbFJmxAF+CqO4oc82x2gPlscOkOWfMTCceZF4Dz4PNfUeykHT6TxGivXDRDHAGXeyTiXMMxUqQ1jGpIkGLYwBT5REGtNJaWJ0Z/E0BplElTZn1c0Flr6mQI7pDn3c3JTeUSMZUYHNO3aj8FBHVOj3vL7ZmM4F5iZM079FpVESnqTj2v8tg93cdzdo84zH2HqISld6BFU2HlwaTqJl9I4ZXdA0gHa80jmDCAUxuNautG+Hj8BzOJ+uv/yYf660kjZLS0YIpf4s0RLTc2w+lXjLDjmHjtFem0+h/alhRFhzmzSzjcsmTKBZUo6mmShlkNY3DXwt4knF8YV0/g/Rg+II6dHbycYS7XPCpkhylJo0JiIvwPKm76XfId9pP1qbgmKehPXOYUDnQFLfzjfkJhNEEy8ob0kdjP6EyPnablDQ6ZXVUYF97m/V+Ok+SlhKj6tQjvQEPzmhfTHztBNQuZKtcQlvQ+Ry71x+LK6UNN+oJvx0UkcNz0yVqRLUuKQcQeEklrNCqS7lwZVWOm/uSHhhrnJ52F4gxondipTmGOUC3ycpOwEksntVXj2g8RnFtiXyemv8FRZ55PN9Db1cTtPGmbIeUpqTaB15l/jnGogKaqGNpPkoKrMFIzm6/5AZCgi8PM2Tbsp76HxECJP99+S7hIRXVBRSWjwiByQGuQoiD6NpBDugtUfKS7LNfcorkTpVlRcgYRjtWRk12mnd0zzB5KlSXA6NJ+2Lpp4SvixkG+pRwwRoSPY8asDySo4x5nQBiewXwtLn8T/Zm5FPfEsJpOuu5/uajIYknQHJK5Mnc549pUF+zg3Y+btOKPES5WVcC1q+W1aSKY1Z2b50nyiVcXL5rRZVa6sgB1X1yz7rtkR3F+9J54me5c5A19tSOmyOUmnT4vE4kkxZu6bQNpDyp++0+u3q36sBTBG7JkI8TsGl70pCSEmgpmkP0HrCjoMgmHUIWOKA4HdqMO+tLJkSmYzppQxGwtBSgbgCkrWWdw6Yat930UgZMboxQBlw5/P40Wo0O56ZMe8Oet0oStlooejz9EceqF69qyfSKwnqggIgPE+scRUlfOfEmfRdl97fWuFFSeu5ZJFWa7EbLccFIavPAp4pxYFkU1W816KUHvdYCmlU0JT0S+F/VNTRftvkFZTJANp6Edo6qVttEZ8iY5l6CHKFV2KRzOihiUqbclxYavKp8qIoCE/0vtt2XmyoIRtxMdo0wO83GCkgBC8Wlp9q3RnmhS6GhKctjou2H/J7UwjJ7AdJuxkPWTuRviRbjCMqJSTFhGPx+eYGQAQytkZo3tUZXaNMs3DZpgB5XzSWUVBsI1/vWSLyDlzIic9zupI1LZvX2HyU1DNbuDUaWdsDiIpQ6X5YOn74nbJR4KXtlMzxZIxJ9wlrtGmCivAsCsikq7dh5T6d0UpfT7nGQ0rIm+fL06W8QFgXQdqX92spHel5mKPDXMvLQNOX5mINTfxsjIbXzdhycPp+UbNZjmAM5yAafYT8eLkoxDpVaE5obOhQ4znlegjWd0bp+aa+0zUyo5POrc08yXlB0WKc0N/Nb5F0nItK2BCX9qt2biinlSDQS/n2+I6M3TAP1PSpBzuC4RN9VOIhAFleLJ2KVEsHhSYbKIj9q1N5LLyXToLhfF/XOsVoScAUyKM8kXynHuBpGE//d8iive6jk8DkGMnAS1OGVRuzhrQrxyc1KOraMOPKsNRLqC7DhFej8klJWe3atouKaUEmLCkUM0gypXYimEATl/0lA+kuOhIZGISnzjIchSmWr+MuyV6b2FoeHNzgoCJ8cfwqeYtGIWTcqgpkspZlRnExIFJZOa6DSRAZAm+ayGTC1JfEdW2cvAB5/OLcyfOj/IxUdt+GkWSrjF4OEjc76aw0n5d4feW9OCZKZadplfqmVsAuGqVnvjUVV41FOB/F35eg5e8IT9GXJ+s5J6h0OajKWRqGvs/usdbSBhkfoc9xGdWTk+eYnKkq3ZlBFc0vPpam4or1UVpPexm71BhZUZmDfvdAOq+2cxa9KqgNICWgPO8jH/Cxn/STjkm4dn7picwQvCvNLv5Vmpe70uwrYyVrkBy3kz/qoE00SI4v5f/SXt6qhili13DEyb8R2ugxxQBaYa50xylFWLyCt8WUEEYSmsNEza16NEGxRmEMRGVD0XutC5IiOKbHjhqoOV5ByoIuutpCwCAdV5FY/TPhLgpXYWOLH4ODfGIbHaHaJMDCRqFA86gNm5gJzQBmDTrDtBZ2o36RTbi0TdD0HXY3KPfwSt4hhyR4jjbkfRuBexEzhV446lhC8EaV8vI8fQj/ef2D1JMiyIubz5HfyWtB9Gxli2AmZJG+4t2ovkSFEitXfMSPh2zKw48vS8oz5dI+wuihm+xZ/6HK1WFrnU83H0RB1yP1oJKYg9jP8o7GjwXmoOM5ikCuFYT5PZbJUTlDyAwnF+w80iNfmUCQeA2iKW9pkhRepfePsbAu7VuSYo4LYJLXVqbwcK0wkylguMcwYzLDvOkHAKbdyMK66T/U09APkShjnSdzn3R8HrMClRQ3o+9GCQG0R3BPuaR/xfkFyLxJUsVwPkeEPAIt0RAk0DqdloGmG46xpeuayPwyZWzwyEmOTQXatkoEeNIubtTe9L7K6BnL807qJxVik/oZOAyJ96ebJu1G0gl9J1qrB1pBxlT4j/Z/LBfJOysfhTScWL1k3n30N+m/ydFWtG8P2kcjGgCEfh6aiSgoE4W/wL+EtZB6E8OTeZb0z3gEJO3DvP2oZTkzttMELs/zzQLJ85QLG9CzBuJ66OHVI5ez9YWUmXtT+mYcuyHglnODHozaRKoLbXql8yg5QSAezxt5hpa2kJfYjwL9wvHpiVKVpEfb17u2TTMDEbSnTySQ1kifph3Lx7zeeX/IFMQkjCP1Gvp5u56Q8tF3tB9J/cmQwVNZjUBUxmpyYzKexqj4QANNQzUmK/AuIboUpOD9W7xry7HvPpDKVDB6TtYVLVwhvsbHi+CyRY0haZJ23mfEei8p2JW+Iiq1Ao0Dh4yXD+GkzWESR6WRpEHnpNJRydy4k6bdcPd59fM+1aQb6RRoqVGCZAY0krczPUHIC3G9PLWnGY0CqMp+Uj5a38UykPyzU0g8CyfVm4TgVRx4RGkfgYSlaaZrElmvK8e/aMwkeoun317qG0BSbq6MTPjpCqSG/SkPNHqc87Xc8yrjyXm78LjC8yQOK8soScLrSOlLdaTBdQfphMTfVeSp/pb4p9g3lYT5WNDyC0GacUf5pPAtGgOC816+/U3DVoz9rJxN+WpOTVINtxsv12xWjXyfF9Pj+wzJeCIyS2a4izScetcsC6uVzaPxkqXhpDZV2iZJW+sifXkUYQ9ABS9fWG9r6eg5ADuNXGk/ExPI/2fGHFpdUtmD9GXOd4j8gDY26ZioGL8qQv8tzAfankpGhwQy59N9Gt6nqVI8o09by1ge2f6dEC6m2bNvJ/NI38l/HBlmwjBF7JoMzVqWT5i1R0pJ6NtJJUGMLlCBUZcmdUFIqbKklxi3AvNBlVn8+JhMeI7eN4XNAqRMb4nG3keRcIUWyY9aTY5o9VlZ4iammJfyvGhlXTdDFq2kS8wAP3aTHZesMhCsn8TwlBZyZGckhaanHYesZcnaKYmnpUmQKA2Fo6ESxKMJ0Xr6CosiP6YszzSnX60P8r/I9FErcvI/US4LdUmVqqJiWxIcNGtlZqEefsthyYOu7lxiGnh9hyhBiAjKVsbE8LtDordSDT2cBp63ZAhChBf1OHWeBmTBWBSkqJAugTK1EmNIntMjn9SxIAk3XhGeeLgCJGOR0QNp/hXSF+aoYJ3Nj/PjSlDxzjMajiuOuMGORBN5J63BkrFFy1PrY2jUXX3yv4kUIXrOaoIs5HFEhZCid2upbakgI9EX6yDNv+ru9lK2dFxQWuh3KZ/CnMyVWOF36b5zjQatf2r0SjSox+SR9Y1a53PaaZjM4jhE6DxWNSTUxi0K94QH8U085z0wXT8B58YS5LvUfbTNIxqko+9IyotE8VkqhlAPALpPgpH6pLDBO2MwZW1cC4bpu2rPDUM/zORu2FrUGLxWyhozBucnRL65J619aCfyZmbMF3g2NrarTmWZJPquh2MotWKf6FD4Fse9tk7MQNmWha3d0C6tA0Q20jZ7AXTKoCKGcv1p8nYRXWsZD94VVuDFxHg9i1yqw4Qn71uXkqwhpE03wTPjVfK787hfUj+9DC1YmOIJV7RNNR6GPpJ4+Rq6NNa279zVxc+UaJDCFHjV5FEfMqX+22fK9MrvmrzCY01ejgFSma5P2BBe5akr67QW0jUzVWl2jNckqPfA0GUGIQB0ZawQDlDCxnk3zPPS4BJILfS7zj2RyjqvNfqh4QEWR6OjZ7pJmjVjrkRDrQzG+20pvPBOkjf7rlnVoGmX5ileFrKGiB6jIXjnSSbCXk8SgL3rqpNSXdeOeW0/Bz3nbYeVJ2cUYIrYNRXS4BkAPkh1A7BNEt8K1jWKWZq+tMh0WUrTNMImnIPuSSdBuMNU3DD1AuPZDDCumAMC0xxeCAJaUP4N/aic0205QI9qpveSgTDZMSEkv6klv+ebTSUQBTVVZmT3ow5c7sE09C2T4DDy6pTupyHWoaKFcsVkxb0WE2u8BqEOXHP3VzJpEqWdo+VOnun5Z8LYFDmWRbsPl3iwRaaAHmns2V18vmG+NIGOeM1m8bmhgScLSNN/fUOzNDaGjRdpXMf4/UKiEJW+40rpSCehP0H4y+8DZp6EIQzNN7RBrH+iZE+8S12zrrK+yy3O4cidsaEKB0KezDMn1ot07C/16GHl1hSU7fhDzlSEJp4VhB0vCtbO+3jXK7XMzO6RZYJFMpapY/qQPQs0huVguW/LVGKcQtpTaL1LQeqHhI3et4HZ0+6D8ojWodHLrgDKPLbzd+gbKa30HrXoNRvKEGimUzLtP57MP9Q7zCPOg4mVcdg4m3JNXqS49E5Rh8TrbZSny8cWrbfpYTKWVK/VJv9Y9oEj5cznDFFZl3lDNeHCfE3WAFpfyVwzRDb3ZHep8vUYpClY/wh5ZQJ403eSza5mLDkQnqbQp/gdk1QJGzzkXZhYSyDrfPKYCNqtZzTjB4YAXwtB5jttg4NbuNM5km8gRAtdqW5pv2LPRum0x/uG+kbTh9NMfEKXH7g4jyXt7ltaY1hQPpDQR8eRb8tB2422Pci9oW1E5O3H6ImPk7ogRxv70ZwTvUe7+gP1PA0nLdC8uFIhrgNI1rCkPZryRbrDT1aXcbwJVszJOsHXt2StcgnNmacuCd+2YYokPmcdKF+S8HkkL+YNnOUd1gxPA7FxUdp0Nuhgcl0vr1gNklwa0tCMdOk40YznpKzo8y4FCzcS7NNfXL4u8/ejtKV80+e1Soh4iso4ypiYRhNFGpeKZ6aEkjFm1zvVYKRp83zdI/RIx8ZyBb5zkE50SoxcXfsu4WOUvhZlwMBbKRuVmfcZhHrg/6litbbP9vVe5gj5TNP5M6zGFQh1OmRGAU1aXeisEy2cBq6c5vUojFd+ahd9J0FUOin8RcKbJPw24Tc9Yt2pR7aGdbQZ934WkrW8XSt1ZW7iBavM2+1JKvnckp50wtIeCMaFnCdu+lbGw0Tex6XPaBoQvCMzhoOOX7l8MU1JDgnJcB6+oKgQIYTlSiq1P3PaGA+cpaesjWr6WRuN5jCxT0vh+WuHZD6V3kvtFL95HwlkJfNmyp9mvIiX4/E9EQCQlKLZWCD00atuwt6kBs2YPVPIuqY/E3lY8kDPfmvzAnknGnposk/8n7d/cb4l7UbTF/cMNVpK3YqEafckBRpoeKWPZfOBFFZLR5pHSmWj77vmICkuR+2cw9tDyqOZX5O1oWtuZXMW/61eS0Dz1d6HupbClOaM8JvxjkkbN7RnXuchjDKn6ugjEEweM/GVNKyOGGDNadVwnNkKQj/LiIIwTZW2oX6zTVCXfOdp9KBFI5FuQBWOt6zNv8siqsR8zRj8KBSOmn5Rsn6mHxa2hhlRGX2Rqe/Z17L4QUAjeVeOi7HyrUi7exNaGLukvttN2Py41DY8mFAixK8BZxKltuPCAGFc4tgd6MJrTf4BUdjkgqcWlzOR4WdJQCICRCaozxQaTX3apMQI1zzryk+cz5iAxj4lupIwFagKKwnE/H2hjavGIA3LNiizOVBJu3asiQY6oM/ajb5ejHAYkpIVtNIu43is0nt7YvKSgBV+98zCed8YGLEXfENlHCjtmIerSKvLw6GLjr75FWkJ36MfUl9U2wik33fNIazvauNX4nlcRV9o125pYnKd80+bkPK7KxqfswFwBUHVOKcGL5NgzceYW/KXE6DDoEKVWcaVJakstabIohJq59yx05cfz8TbNcoO2ukbqwMqyqfOV6uBJ3A8vUFD177GDBWr47ZnyvP1TyQ9yaf5QWSvzrV7UiAnwNBPER388Fhga2SQJalMmYTtSkv67xS5VMm3Kq8x0Lm/JdBV9VzIR6y/JExlej3CrYgTBkT5k4PzmSUEeVHZO6uRSfPTdeRIVd6yYkQajn0n6febA4Ps1umdp8WX5DKaTmVapX4iKoAr94P5vlQREq9fCi4pcCeIKtlmDHm6M00I/bRnnXQqFWsxKXmphD57akj73tgnfJWUtSXw5U874WkS6LnftNrxwzCP2DUTQ9QdG6Ud/8S9QKW0+LMugVqy2iKWzq0njS/fo1nzPKaP1upIDTOioehpFBA8+mKY5v9Uk1nvTcs0HdV7l04i9HlyRDN5ntxVyZiy4DlBwmbWoNI9hMRbMXqKJBOwT9pzlIlQIcHjVtnwTjw7FMvWsLnqhh5ueuRRmnilUgTPNbhIY+4pRDdC083J4DXLnwGkSajX3ZSL3p2SB1tKG6kTYQPZD0b9N6bblGeUd1OPvA94nx99TOuU9aOS14A0FpLjU4c+6Y7OI/ccBfK2zrwOnBwPI3qjBxL3rEJerxmzS5lSj0ZwZeO48Vx10yTMFCAyYR6JZ55mAR4tIKeDoKwIwUTIa8dAmlYGR/pcQ68bkjwThVeaYbBazjxrBXpEC03eT8OYJJ5+iZWnNPfyenVI7viMzzUSafnCtydx6Hew9h2SqohtycZdCB//5/Mo/Z95j5Jj0jNvDmJ1DLD5Tpk3HZ1HmtMNwvwrWfDHvIejOTHUaSLo877GxxKxjOVjknv0Ua9IyfuSW4An3/R50+cSq3NqxeyQevbxJFwaNmO6ebtrIHNjvBdF6mtSHJqdxm94pPeRh/hxzki9qHn9U8/fOO6Yx2DwYZE3qVmeDhktVGHvQpXzu0Fdel9yng8rh0s90RMjFACYHq3jbhDu0nPw0YhEqUvX0pGUq6GbH7Utx0/jtX1HHwOSZ3zEkDwHgGmSP82Pzwto8xwdnZ/SzZW/qZdqGrblz9o1wrP6To4VzzzI0ipJ105eF+QnfyUd50bKk3uypflLkL01kPBfIY3ghRHGQxbGUAblowaAH3bIUQHaxiI/bYmueXEO83r8UtpS0NDHagwWaxRfcayktExk04Z4xWbHFFakXzrSsDiuhONvMzlFutrGKUfVd4EYXcZTbJrnlAYaPts36JLlkZcl8kwCudXt16GQEOuPrxWlfY1xlK+FU5eK/7X4zTVHY3dpsgZlVybx62m6aGHoqp2M14bcD7I2If0rkXND/2R9thMKr1FSvMYad/J7gK2n/LjUWO9k0A+dzAPTR0FmJNG492AeKaVHuqeza+7yrj1JKae9paUKPJxDVm7xHluJ/yXvAo+UXeWk1SlnQQTeSJ1jwx4dYb64rJrJqV6QsXiajA+nebVp8bYTwvBw0kkFPG06b0trUB+5qXmXXdlUas9EjoJ+lDHPh11xk6zHgaektGjjJBS/Yy9HPVVNyNuzusyUztn6Sd5xGSfm0QRhJ9BJZRHfd/DtyV5xQ38mDyVrZk6jRHcIG2VUDnVcMNrCI05LOAlJyjcEGfA4SjjaptL6V8hDCpPNLVr8moW8RDtvW1ZHkjwqpqH1Sx6G9tPwqrQOEfoyT2wlvSR/qf+pWLXy45psr/qgR5Xg3NcSQuoRWi8J1oUdnj2ZgN0llCTWvIqVocgQO1mYrxHw6TGf3GOELCpFq0cCNQwT7HJahUeVTZiEo3fDVngecwGz69ieEG70QGjf2mOn2bFSmWdXzNSlHxJHXAjoc5fXN/XYFPuN9LznxkQoT2J9JSy20j2OXXlqinl1ThjH83wgb8hXWSE79qECIdrfmXW5Y+/i8wr6G2Y2WhCT/MPzjEbyrXmvJhbJDuImdJIejUvrSurWw/STvSdKTzHLglKoi4GUE2zj8GOORXo8oDJEStql+bN43ywpT7oWuCYuTYf8D8dih76mHSWXHcvNhag0fLUHbc81WJ0DCVwmmM6MkUz6J0mzqowawyv1Cz62WX3WeibHcGNMawmJtB9OghfnZWblSTcUkbYhoK+bcezMgDZlDuqMM5P8JDT9qqudMwU88jhV9cGXdo+0nnm/B+lfpZM7uvheTgbdtBgHpA+kxhelOB08c+ndDMdWhLQWSRvXShuL80Jc19MwhgokxkWFcJo8JaWjxZfidG0EV2CsebCWB+5Jy6SQXPPQdz3XghfKnPHxY55OVeRXmKyW5cn7WEkew8zWv6JSg6Pj6OYqbzfMcL2eQPyQRuoNWynDaenwo5WlI6QpBIM/Lf9OeoR+kPWnLrhyn1XltSBHknEq7ksJ8arW0rC+D/K8xL2vnn2Dy5fc03ZiJyoB/eqhr5JBeSfVk7pP11NmTR4xObLIk9IwhTg07FjoyYsWweprZfFV0olFCSrbTE3Ht+9r0qBxRg/HpwlA1g+7vLDH8tIu0VIzD81kvZlUH2zqNDP07rPXxPcVCXrtaYyDwr7HKkWPpqF7/K6mzlXeqiJv3i9r60rdXxDSlPJZjWAesWsg+ELjvIcPd5dKzJTg7ZNggMxCOrFwptaqorKIcnOjMNyaK7NYpd6Q5HfrhcqZAZ++TzY3XbpRSTfmmXVXreDhvMdwapDkLdHBBeeSgjZaPoU7Rqd9LEfixUcFYyYISlbFTlJ8cmtcoozNLPeEuwtbCxQfn8V3YP2AeD13WVHHPEPZGi8hSTDy9P7DQLejf8JvFl/xmhxVrcbF5ytF7MOSpTO585S/4ykFK2GJdOfR3ttLvV0HbAwRS+ZM4U7y5Z7DqpUm5LGQWRkTT9287zV16tO4tIqjZaNyXGfWbrHvA164h7LPQhoEy+w44kFLV7CQHK7louA2CjvqLdHb1TXPGGMe7oJN7mv1+W9t3uHWnH4K8b7XhPakTGmeVMCO9yqG+4UaD1bqARj+x3tsJQWwdO8KZchom9QyYVQQEhjVxGOSMeKe0OEdouehphhN5go6JpjhUDIfDBz4Rk/0TuXGH8pmMvcCkSzyE0+OeP9lm77zpB1jPTfhyJyTtFvHGp1sVHlktEiWp35AwsbJK6TTPo9jXGO6vSz8utAMgXRugcrzRJMXfDu26b2vNC3CE2S8A6ejOXkByOdPEZy+JLE8TGLNyfosDcvXOzFtNv9kpPFySwKhg3wKSpN+upEU0lL6QeirXu5DtFyiQlq6uzSkG/Lk7GugI+TtXNuPtLmI5OEdRnOCcy3NLG5pY5d70ARB1Q+aOQx5X5Y8cNq4IQ6ZA5gnLFcSJxt6gd+mJ3fwtTLM3Zz3oO8xStc1C7sPR8uKjZr+jTRxoxjen5qyZPnyICReF8+eKAcMRYS7ITM0XrHiXa4SujbcJrIhx9aycduYy5bCHD36dqCyjEgSfd6xsRrXPM6H0jyFeCqUYNq9dRLC+padhgHBQITJhY7LJGOi6MXF+SYazKVzX00/bdeQti/ReUUy9kxk3w55qrdhnnJkdGYc1IStrutS24RygcirzAC6S06htCd0a7IxmrqfyuNw8LVWUmSF91XpkP/iCSKR3yrHT+RB8qxNZsRrJbKf5JlH44hXX4X8nTzGJT5YSIffdZmEKfQjyeCWxpPmF/rMEf4lk2d5mbT1PumPLYOQ8Z2cPNUApKVTet6ebtKc0aIp7rR6Y/MUlSP53lnRoNznYWlw2ofTeB7FebMkA2q0CO+S+Y6sj0lQyuNp9aXx5wIJ/O7YZEdN4oeb/sbbMPapZhyLxxqXqiD0ayFQjTJ3rKPCSR1F+a0rq4JMmKwJGb9TSQ/Pgzwfra2M55fCh2hU3pL6AwUbW6L8KcZrvvgpdWwcluYVDeK6PxT6VfhN82byV5sA6ede4Etou2nPm/9xrLDfWR+hcTmNNAv1+j8hDg+a8Xkd8bU8Avh+cAeyuWM1hili11SwRTgyRvyIKAlSGB6eHjEVFmCijEtIYcIJfU43aFTPkPhMWbikRUAQorPNs4ZZcWg2OFVvQfafHCWV5FWxePM4pWMuvAMGw9H7RKkiTNiqEjtkyRYIqU0ygUcSvkO4pgzZ8ZwkvoQqwZQphrW40auxdrIPNJM+l5SHJlOan7nSRenfsSwBgqAKtMKqJ0rTLG7zP7ajRFeHl3Gi0OEKIKJsSGgA6zt8M4ozLF1joMjY5v0y6WtNO4djcJMN2yZcMpb+P3t/76pb0+SF41Vrn3vGN0SDAV8QNBkVJjPTRCMxFTQfEcV/QDBxGMHIUDAQdEwMBQMxGCY0MTFSBkEZIwMHFNQZ+f6es6/+Baur+lOfquq1rn32ue/7PM9u2Pu6rrW6q6vf6qWrqhsFVsPtYm06bMdpNShuehvNE1BUI2NfR8pI6J9F9xAetUPiUa3V0Twp2dC+cJ4psMJdsWZEOz4/YnkQCJeQtRQWEVlHOCPuhaKTlJswJiakr99QU16jATC8F/E8WsHaCeYb5ZQFut33ajNnHTM1fI24sso4mDNQgWvlgIIOGbb56eVRGSYDztbLGtZNZdwqE9TbRer4GqD5jPiEcdrU5Zk1P3N+EHDTfvznug1Hq/F0B7pxa07taB/3qX1n47KIHx+e6gBaeGd8KicwgzMOEXnVsBkRyuCOT6Ug8fPyvY96NOjzWB6ePdXlc9eOpublM6hbfR0ALLPCEvxWabvagOocDiklGauZu1299ab5pONB3m5QBR7K9JKdJMLR7akhsbziEaWVMjti3eeXUTqtGJ5d3TsDwHNK9718H2mT0okhwGsexfsuvcEI2+mQC7cvG+DWyMHJ1w7JDkW+kNiYQfR/65zLoN8rsolToZ9c9julZDC8cRfts3XcTjfpdDDGlhlyv4hI1H0bI0RAR3Mbuzbv6NUzdI/hVTiU/c+69xOnlJ3AQK4tYCenoCq1awKyuB4WHkLmCm581+qvJLMFpz4p5EuTq0TcWZaP/h2HtNfCVMcN+zuoqzeozzoanhw+q3e7xENBfVMZXks6ZX2yvNWWcbarmg1oVtdb6UWh31RHwpojaLdZ/5SzxRPOIQiroxmjmJ87GNvUOQ0XaxefXcJlfbrNZ8Al6xqD3kP+N0WEIhycvx12hc7BifdmgoPrlo53/Cbjd7uskK7KqXiYHG2qtb4p3yNS1301d3q9LMLwvKhT7NaESjTWNToFpzS2N/ojxWSw4+xVurG2U34qF/bYqjl1Ez7v491yygJcLmnFVxJnEy5Y3wXuYY/ia8nbT6QPQ+w3mIYZR/lZl0yJuDLO3omm5WfJaFUI7AHP+aVQrIMAloRpIMT22RHJR4HfxgjLhKi/j7R+HPC7+dyUWbznz+sw4kb3g7IxFu9iDe8oGtZgaaOIqz2bUZcqEj1hsA8384wFOhMAcF4MGcvLeKPcJmPBlfCg6288Tthhg5T6N9QjpHRX0XKY18rf2ISIdcxE3sieIJrWN0IF/PGmtzGvoat151Ezn6i/u7VBnsdbwUlgrhR3KphxRmksB3x3OALlUZDq+vbmHEn3NigJ0zJ/PzT+9u+xePYOLubGiAJ8MMxOHMyMYVGufiTVi4h+hvIGmxX8Y0Ab6R3Vj8qNzTK/rxnKlh7bI/eXj63BHhKi7K4E8WqtBfAa118oY8+gjL1/kw9c8JSFuxwn/TLDRDC0dvykeR6EZs5jRgxrsyo4I9D8aXivyD3+u57PMsWzKl+4A9QKzr4J5ZC3BORqNNqNowqXh4jCYkSliSO+T/zU8203dhRomPXzHcVCQXawKHYbY5JfQnVshO3oXIPD4DEhuEN03eXcjak2a53zdeMjsviEiWx+H3KVt4bTOXIkPDw/z1m450dj3luGgYpmEP/byppYT5Nv8YQlP1X0DPFWXkhFW9AIangHvIBGp40JJTkQy8M4unPFFVHVfFJKdGyiNCNtA/2u2lalO/h8pDqRnLM1sD6zQfHMsZal8fEiX+F8iinpcG/dxH02cbuBDoVIGkLn6lqb/t0E907zn53bzkqmDNT1N57UNPXKZFBIvOkmQjc2oMNGITmNGoxIv/f9ybqJv4OyHBFWwud6AddnHAkS7SuMpLt9FG5TOcZX6Qrf5JAX60DD8PliDy/xW3u+K3shWyS4VSrqtXWLTrt832q4qsbmiDE0zrOpkx1E2KB+aQRE1YWMwAHnSi4Bx90dXMez+N6Wq/rA52GnO62yJrs+65DQncxTaYWdQ2pnGOX9rTQeNxwL7qatYTPwORHUVcs9NX52A89nnCeSnFfRU5TRBz1PAO1VcdIDza/tSUzV+N6gGelxsdceog07eF1K86s5paTFh+ockmgF74+u+XGBWzWGu+cVXh3cO/wH6d+jOn1xXy7sLW5wzGu8U/BWnclhQSW1qzRisj58oy8SPyVcsL5kjN0CxsIGo+blmOdN6UtF8Dtri98BLeDAgB9z+jDEfqMJvdOG6lII07GsGhQFfxaAmVIlMRLW3r0OP8qtPObY8mKU3Wu/AsbLERc/3XG53zQFvLoFasy5ilAkoyIeMYyGj/a+yDsKfsfE7KcR1xcQoLC/GmbB5a3MUHHj8bbMK0VmWTJP0Nch8jn2qxuKH0XEA88FjviUgjmj97GeX0oF2wGc+TyKCIhzEIhAIZKXOY8eAHeMcFSFY+7Kl4gZY2NUTxZq8YindHRDY9Q82zZyO5s5GgzEIXI99+041Dc22TPL63KFTGvv1MdwAznOkfre0igMch8EBlgdE02fnYcvtothoGcyR7x5H0xF2o/nnUcnxX5SzyPHXkFEY5SPKQtWA/KNmFcx+t3KDJ1tpbxFf+TIX5i88PPsg5GeLdyhzdCuoacBhw0a4WhphOde4RZ1NeHYUc5Fd1YbRGc10yCCMjfOYfBi9ndjJHgGp0xXTkVy0kAdc+4cuo6ttbXaKMFVm0I1UxvSQW3QdbS8HnB8KR/N/zrxIHqRhGYV9wpN7zEffmeaShvaaGh0PvMa7w45adn8jlGOIuU88Oo7WblQLDwaB+mjrePvzjWkn2dZW0OzT7ZRRkRPHGXmQxLH9zEN5qfTBJQhelC2jetHI1rcQZqVxfwypF6TItFAXfFNON78nHsZRqqLcA+KfWhvXsflxkzFH3gdjRFeJMOpIp+ef3eO4wu0LdKM2mCpmQYOwBHpXUPf0PEE5QwRWC/Qt86ninUcDLVMj7BeXEPdsd/2DG8XEQXHD4aZ5RuvG5zfQj/yGCHPx3kzFhwvNyTTVMsLdxO+l2HqZyVtj2uvHC7fen/gkwbRzqAjIreMsc/hZp+bcjvHq020KzoGlcebvuN8baN9dwY8f0Dyz128Lu5QfWsqx33jsOvvoQxHsvZGhVkX/eb3mIePII1GXMKjOf63TdXc3vXv5m7WUB/23cUaQjxao3J4GNeHl3kBR2hw2ApFu+P3QR4qTw6pfnfyRsK3rgNPJcO8Y+oAfM1NFTWLLl14zytfm+Fo+l5TjWrqM+fFq0/c2Ipom2HnCXIY5P4h0TkX6dczMEkWSzJ4JYvYc54TTaoidQNsg8F1sYzOcmnh9MsprLGKh1T7rGQQ3dGEzjnNdEjWP8s1z855m/l2ZpLt+rnUJ6mucvwqubBD586cuVrvSvP7InWnP2G9w/T2SrdJAMVlgQ5+cmi+gluMU+pzy8N8jtELc8TmTcQ9tadKFZ6oI26KVnDYIbXaK9jydtY77Dn101MnkFSyMb8XWTpwNYXwdKJO5iDdMeyQdmt0FO8qHr5bm0253dwc/Lw4Bexdkm5AVvIB90Mxj889pfdB70vShyH2ZyE9Q2iqdKGEOwMwIf9CeXDCVx7reiF5VYTQBX3XxGoBNwiUJFwCoQ7RMVh16cmdBfJVoMJfVr5p/DKi+FRUAL6vFCvHNSqDIa8pjjJKwYnrb/sTPaiL+2b7BhRwGwaVBAR8VuWDvGeXM0DJxLpKvAlAxh9/DEJyfLE2XlNEa1cf4DhE4B693LftmFVTuGnvUHFHC/b0CgZHhuVVRQGzEgQGfOcUxrYaD5VkKNFmA9/RQwOuipQehwS7TSB8d+8CPNFgDHGcLmnbLDIA50YI3ynHu2OgsK4EducE0wgxQ9b4Be+9AFeSYhjWCTgB7NKbNtub9WrwgvIK97IGQ+cOtRENv+zJvsX5jvKOzw9c380dJz53JCsjIstIDs/W5pHxA6ZBKnrkI/RZ6Ws3nIm/4gTpNvtYicFN1pJ+Dpj3b5knHe3B94iX4cObiTdgbNG44ZnLym23KRmczLa7HQQH8ax49MyT2lyN/xuTKeFbXglzy+dNtXFQlYN60tGUBKOSPdbLvrJy891lVLhPmsowjhVOu/qDDNANewefxxvkgPPnvUFlD/12I4zqDE5dzdyz+3aXM98tlD7SM0azqw2nK+OY5XnLO8w28vjfTk/MjdZA+QyP/tJ0h4eADnErwoWrsP7ETeBC79zpOGU5ni935keRtjr7Jl/nqNJueIY6nkIxwN0aWInG7/Liu5CPdeqr/ZVZ792+d7r+xBHT8SGtkwtHRYa3DFn06ZkaxBu5t32f5ouW3zOSPYzzeOJ46tAQdYde3xMi3GLdkuhUdARfZYeDW7y00l3bKEL7yXfaCsmd3I9NedYzk0H4Sg8t5MwI8N6zINte7FW0Kc0fWEPN/LhDI2OBWlZrI1kLmJWjSskjaY6VV4zdwfmJPKtuqfd7cC5Va/WuzHuj/hIegq6Mj5s8Ca9n01Vbnuxf/p1QuqMDFOmWwfq9xZ9Wt9mgXo3xla5zxTN2Zb3eiwKsS1Ygn+2/C3revtuJ36MA0/VTKnzxHvO9da1gPThOb517u7a91cn0HdOHIfYbT+0xup7h5ko45PQM8PtjCyEEBRPy7vINmiISdmswtPQYMl5QQpSNILbwcCMSZnFvXXhIEcPebyQgD4hGOn7yqIl1JUBqLTDdJhzzWFqFKFf0TA1Cn+WxKGURHwtXfkxYPtQjYTlq9gFRkjIkjU/caAdBzqKJp7Hr+DxWG3AslCIWQFmPUaH2fbYX7ggVkTOicUbqDojQZSacvGft2OnK+GmwYSPdN38F+hJw9Ygs9BhmYZ0E6jMS+bG8l182XpCotOr6w1UW2lcJZOnu4NUny1AxYl18qb1I2LwfIhBhCeVG/FSMKEUcCa/Sc1Vjnfh+fDojs0+FZYS2lEcvKbXX4FNev0sV2wf9MEio8jU1lb2dN14oqwUZoWby3PU1YH37qBUDPCJLX4W88HW1he+grpKtIRsL3FTByLpx9oF5cXoEVZfGiub0PnuMpEDeElDvePRjvbZmOeEpAELzCemuaDyibCzcxWj0GI4XRmmJiOA93BwBF9Y60M1ghNT1LPF6pJsKNNHmnGqIChcReXx30m31cRwir4vudh78D7UJNOt8yEkpDy2cJGgtES2Q+ShFR6NB32gG8Iew5pB/YJ1zbgbelfrSeBAvwmIOIn0iOun9jX1FbSo3gou8js+o36VyKvL4NOWUz5B5xHXvj5m3UtuCMbPCj+pOd7tCuRzpOXJ7rpaw0WvEddKR8UkzjR+MvGz6WRYPZN7HeG76oBwr7nd/TGteZNKOhdMl/YN55qwQ5nl51GAnK4xcZ3CuwPbh+rtA8cw3QB7K66ZaC3i9wXkyw/CjrnmD98T5Jg/4SNfpLfe/qiZZ19POmYjBNVlR57laG7cittrntaEoGCytrbt6+flcP+2RyR29sXdJYIQ+KBw6n4m23DmKdQZGdFg5Hww3DOGzdJoP1LE15F4lmGvLUXqUcEs+Xg0V08YdPdf86s0bjVLP6eRkZ/IQy7tmjAUHxt0JKDvjb7dxXM6PjdF1VUbwmJfYMwOJeRLeS6ZLey6VfFfA9yJ3HeWpfOcAHvQok4msCmi77+MU7XfdkGidDPFtmdwO6046UaLirSIhYhZ1RYdH0UsuswVBNuZhnZLrs3fYR6hTXEY747ORnyW6VKSWxrFMXtS9dTqDiLdd2jpodHmTwcV4z8THT2TRnEdAriXY/H1HK1JiWa0YjzK/z3Eaa4BR3s1Ja2q3VyEX44g4hmuUOEvnQFrJzpUuISYrFPCr+SvFKRmcv6J3nHhsCvyeSs7jsjE27DHs8NjVX80f00O6/N3YdmNf0Y2q3C5fM464fgLOlXy6W1uF3JGu+eIiV7LeM7LIpBld4ITR6FJvD3Co2IWcHsoUtHlbFsdk5LpvJ+LDp/xxhxB+3fRhiP1WExoW38uib8bYt6YiYk/k5gJNR7x+AR4OU+r+qfqLCdmF1+ktQeuKecqTyqhI9IZ+JlVG1g0O5WbsDvZVpGeXvoQG3mU+mO9LBZbmKOHteFwYjtImR6OYhrto4LfIKci++Wi26tVOSbpKY7/mw+YUjeHWI69jwFfCwl2FA/K+xx1jV+vhTRGet+rdVxyOIq76GgXD2SfVfOg281rBOuEZy7BBp4J9O91xQOoMhhcRuimat6qXvd53yTYZ2REDP4vkBl3nZypI5/BOq/CpqOeq3zXsR6WJxnpJmdch06CnwXi7NnU0lMNjsvFIUjQinfjM9siQuNnQ98FTeaw57AiCisezaVOkHfdKl93VvdsIePTv7tSNPOV5T935QbR+8NyplN63ktfmtJKQbskEF9G2DK9rB9dZwGxp2Ni//1r84V1k60aO8ugLrIuVaCyP8O4o9nf5+UfK6Yl7KrfpLZGu77HZ8aX4s+H4TgRnh/cTOne49sYfcj334dV1vCO9sL7YOb1ZHjhW/ZYx7z1wK79zvrvw3orHG8vNxPpjGX23M3iKtCdhsUNx6P9Cf72K3nlm/G5vpjq+xbOr9ER+dnzoojnvwtzJaeXJUW+oI6VOHTaZVaGdx7h3ItJVlYdko2qRqqOR7bl/pz7rdM5bRqzwrLgGo0tksERnV/79pgTGjTftg71XuhGRF/PPzyu5ivXIUTyjVEWd76JPgzH21pju69+lar/s8lq8CoU31J3kgHeYL2/WX68SjXFZD47Dl66jDof3gvm1dKofe9r04RfTrLvjc7EvnGB+aZ138/wI0och9ltMLypyHCKPx8k8Hno+u0uI2auZn3dKZvB0p7L2DKMm7VkFSifOtMmYGGS3UDBPJ3gekgzWVSSsV29K5edlqAhGCCrn3o4SicuVx1nwfsQIWM7zGr2OEa63g48F1fOZPgAv8Jq1yE8RKb2b/LhO7qCRI9iWoK6two6RlMGr+YWiZwf082NGbb3KIqTsuYlGyU4gG/E93l1ZenYx7sUmo7Wl3WSoPBJnu8MYkfLN3qrhWCOD9SLxTlSshyNh8X5GMzbYcb2dVz59hrZRhGesfH6Ge2UkKNlsjLFIOru/NYAr8Dtez3G0yL4F19pf4FNsdpkhKBipBPob6mRaVCqjRL/WXJM1115jvnAcFG8+P6FEhyOmXu2Z+rvgkYzRiva9c4mzeTcyLeNoMo+MhTw41/GItRQNJnJGpA6ZxrdY5inP3Zmv8gpuNxPhmDePtP88RMc4u4jWrYhkRxg8Ku4x/CCJ00A58xi9oDkbvAExakxntCPOmRnt7MbSY0VE+gkH34nfaZXG9MXqkbWWvZ+iI8kD+fIc3+WNfbbr8aIi3wF+Y909bVGXj5ezrjO6ba3zYXlBCfUNslcJdZ2AQIDHoaT1WhnyQ0q0Gr7D6QlhYyaMQS0HOCzGp8kX+QDkrViSilTykI4hx09GeLbgzzUVvOmnnDAj69fRdtOYPjTdGV0qTkzvhNad8TLuByvekJzYNhHheieu1XN/x/Ugf4WxKY17PF441EMahMXpg47ZlwhDRJJ8wDh2z7Evw8s1T30u0b3JyXBM7fFHOzxxTu5EpWosXMayubF4tz7GPN2C1hLUtxyFIi7pDvKmXR/pOq2N+xuZ32pE3USTpqNsiztH32VDm2GA05PXUUa7bmByZJnLfFquhxMeybQFfkGuKODoEBksr9j6x2S/We6BfFroreeLosyU8/yY3cbYZ3ncOMI0qEqgv6K8lLI143Tmp8+qmmLTPehaIlJGpTBfL+r2ITMei8YhMqby8zL6jtZGmBdmHKcrhoauvIZTeQoDwBSRW/e5LTocDU18JUcnj7U8hPsfoib5Xvuaz9C44XOSK1NZMi6W+YyHFfIMRpKGPQjC7fw+p1Q3fUf87N7j2IoumUNEUv+gwTlc2aF1W62d4UQlvDce+st18AG/27aRwIdtBDnBXxEcbDvrdk6TyPEzrMkgA6111Rl0ywjwKhEe9szoVKmHhobVeJTOF5s8Jc0NeFIdJAuHz816SxHlPI74vPjtc+l1yX68v5LW8453YD1MX7T4/sh4qQ7n2UueHiHfpWHW9tSKeb1NFY/BdEOubR3uN7wK9Ukch7NKGAuK4o9XEmmQ07dpNze8HfT+jtx3p38BrgcH8Lw3OMgHq/ohf6ATnbzWrZUN3Lek1HcIi9sCcsGVw1QbQb4ZzzZ4axR5mt9eB89T5wNwEoQC72DZA2HtxuqKTn9P6cMQ+02mRmjXCw7Qef1i2inmzyrkF8bYWwSX674Sjqiu5MHT1PnW6MLSgHqjjHbEUuC5kADf5HVlvDE4XHkmX+LMxoj57HI+7DzMQThTE5IaAt7eLQZ5fINy563FIN6B/sax3LVX83pIHvqSv1u/gGKZ7kJEcsDvKwHVhOPKS9H7nNrEAnxoI+EDqfPUC4bnHbMXASURhEanBzEPltkmXxPxjp8Tdj03Lg2DCFOWouW/odyXGmF35fAoKjN0Y39deqWZkINCCit/5TyINBrpUiWAYR+Xxg7bFLD7i0FV2LahuHs8NRHrP7QWrnneXjhveBvCOsZBFxfkPb+QEKkynRQI78M0APEjtX2+g0PMAINiqmPiU214DhEwdEg4vjgRZy02WocID6Dh4yeWD4X+4clvaxodVk7agYapW0runQR07p5HPfVlxYvx2XZ98Zpq8gGN5ueBtu/wkJy35aeOzhd6V9/ozzbakfL4K42foVijhIVN47vjXOC5Kqr7ZBlD5baMXNLWL0kX8limA1au4HU2f5g+yxN9qAu2d9uMstODt857fKvn/uo96MDPYvrSk4++NL2RtlxF1dxOVdTQISKPQkbnRNeoLJiSaW6qt0cJ6RvTvUs95Y0nEgU5APr0Vp1bwDUtegsNvpK1c/744s1z5b3kjJvpqs+r92icDnS9EStaHmDfUW5gvbGg/4bTpS7xbHqnft85hPn7d6lItmtbhPr8bvs4bwWj0J07o7J97qJY39wnFT5dO0vZ+Z78wt/7AlA/6qxcT2VQfSLt9glKJ2Zp1suTdGpLL7oxYGegYu60e0M0r9CRlvfx0r4e11XVC/im6FjEjVMj75eJ5Vr+ZJhTV9peQSAiyREjEV6q/3tIXyQrbWjVLjp+jxDBxmd3y72VlX+fekLgjzCPRfb08A3prY6K23JvnZ9vHZ+q3IVsF4yxF2W+CLfvMX0YYr/JtHY3xnGcyqF7OI/p/WPS+IjH84aNYc3PvAreFYub6dVGUvAG4zLHWkTclBPeyfDKaNgC5xBVWCnPc0P69ALRdX9lJ8DCM8YxGH0KZpqMCNatfEelyuoHkbV5J7KiQ+3OQq8by8xK+B5ClXyPTGUMsfsM7Tknu/vw5YTvwp71s22izb5vDbzstej9in2x8A2RXVNRQCFud6QX3yuaophhvNBAJsdEcxQbH2mA11pyL0zyeLV8O6b/qI47VT1xoSMXUYl0g8RrLs7p4GhuiiKp7kKNAGad1DdJqa2EiwPGqmF+Cy9xg894UR/3kJfvrJTVTyHitDDCcsSrvyOjs867Lh+f1Os4HkCLksI4q90IV8M9YtdfKZDxkn2RnKxfoAzf+4k0dCKw+sb6bjMv45yI3vWuVKJh7zFXkeUrjJ3tRvrnOMhuRDl03QPsmQFO4QzSKl6Iz+Z+WP5+0trVnhCFQPlLnVDlvL9S1nrzzGg8hec4V4NxleaI0ciKVz8+rbzWBo6WDfMH6kLetdZ6NkyjcfTMO0K5wLWGtefMz8rbWeeEQ3PPImLX/c0qx09sIwVoGM/pEeG3xlJKKxIXeQi0F5pl70Jq6FzCa/a53XspItHpraIJKPYUjhtlNAvOLcEIahg3EY8yPgm9Uv+NNYYa4ZZ3PqnMO4NNbqgI78ITDaeJ5s95U/VpSVOMJxc0KNzF3M0DnMPFWAaZtwDC84xlwXg39xx769dGI3bZthq3IR61ne65LVJFM6HZcXOQN2HH6pfKgOu/NZYJn6FyjScFpPernMlhweFjOuOEOndr7yPl9B5Gf4Nj8znIVEDf2Hm2cED0+ffI/J11xy9OXSSszftD5IphlJGtxB9KOsV5RCI9LOvq3283F6/6q3L0Cv0yf7vRuccvXCcAcLrUyWxhPKDOyhmn2tzHk0K8LpSbLX/JV6JOkOBXY410HuhTwNNhMhHOHcBRa5VhZqiUV2awEdZ1YsrKENu7EUWCTr3bKC2NuphvFGPO3SGFsYNxL/tstO+4XBW12tVV8e8El/hyhUPbN5slUskqyREf5PGaz653LnvjmB2UF2W/xqk3rSWhdeNVavvOcHJ9AXQ7fL/gw7tqjOd+lDSy21MGmCIatSqf6Dvrl7A+S7rpOF84zhQ0IMhEM0/gEbD+HcwxIhiQKbfGeO8Kywv64izLc5/3L8aLRBopIvJpnDA3a+78qSX9xpPVOA38sltzSOc4YrtI6WS04LR07hNp8BCs6wo8NxHjvv6rfaMq6ry841kWnzzXTOFwa+Ne0A0RoA96Y60X7bhjIA55bF3fXcsX84qfd3rfrsyJY1EX5dnynA43wqWVlS7Kle939d7Nk5B5os6O3jHulpfGvjotNd17jqendbj8CNOHIfZbTUbI0AhrqfNq6wyuneKM2VTK46OSoHToqVTjzD+0Fpat6OtjfxeNrIWFRt42Fe3vDMB3FqjXjeWoL/w4wOIOM46Ic3h0vJDfuYPezYXR4EpxP+sUxy/ICKpSHsvrm3vndzMMh7bvEs2ZflMF8jymsOZdpt7J6dggU0AKhaBWguqonnA/JjNKF1DqNlReme0GZUBmrjGKYLNyY25Qikg4etc3F1REHtHgXCYbPxY657Nzg5u8tLAsGVLZaJs8vAz+QyK+c7zC0dKWF+foHP91DMrw5yJRaBRZwmE6VriJhMXyneBnx70ak/djFGW4QSr0EZe/FPTynT2VAtRtJiDe7Kxi84EFcYsdjcYyuP+EoguDs4YAPxBxupSMkuCUUdIdS+C44XAG9IErhTDXWUj+wtR5Iieleq5DVrS5fGqvHU98qLhybJGpQG/MscDXBzgjiIiMF5XHrH85VKx3fPx2eSz3/G1GbVtWgT/peWxwOL5siCtWXqfgGMTO0wc6G4y0VmUWcacdwtHX2YOM70OcFnq/fBLfEDAEq+OrmD4HI1m1jkHYD0fceL555JcU72gu7eaq4nynORT4lHIebLMUfduc9oF5qf0h2nWcSCd5YBTlYLOl4sFiJLwS84xeoSCCcwU2vgZfVyGS6/LnfXS+re2gMFf9g03oZBaQC0rDwNk4MafAQC+MXiMNLdaJ4RVwDlMeeNOgtjeyRzDWKvwWifK556E1ngBucMeE40rGFV0TsS0fjL80Bu9mSPxZT2EzXqXS+a5PNNI1xl8YpdpFFtVr+53mwJPRX+3xwvOd68ivfV9sHcf4iofbeMmpSxIdbx1lv0ZiI+RVGxIduW50mA+a50GlF5R3gV7I7CJAb4n/vVc09rungl+EdyLXdNsLF+0t+P0ttG7WGRxGu3YgnN0w4Bws2h4cdzvSRnk6OS1cE4R4hXkKWTZ4l2uH2zoAhutJDVCTW9r9wB6Xp/PNcasc4EMeA3mT3rdyNdE6zvcMP3kmPUVLeT8VdGc77t0SqTfiARCUqnwoJ6XTvSTuG6H+WSXXvRiOOc2LyZELmS3NT3Ke+txYMun5m6+vEsl7J6mORvZty3A+Wlu31wTC3siyDppla6Qlz7IUXmu7rB3fcp2mP/2ojX5F3bDrM86D9YrUbWa9562s9moMCz0p6K5XPOvuHKnwr+ZfNae7/qngvJWmde296nfEGef+Do9n5cGLcjxvu2sKSljfhzz8ZPowxH6LqfU2a55XxlrKzxs1ZeRsZcBTzbCnMda+x/yyFHeT2V6O9Y5h29dEwEZdN9dlnxeCIQvMZZ2Y0tGP6sTIBCOOIrJyoRo33I78jNHd9M8g6oLG3lEp6GGTd3g+pfrDnDDDS4UfCp3sqScCfRMFvHMTPCt7wROT3iVFJTSO8aLXLJioZEHSBMUUmaOCm4shisTHWnJyg+r5WRoRXqega16FQ9ZGgBkK2ZhBhpjKgy0YI/EeUS36OOEtYSwDPMBfg0YBX93wrOu5r3loJ0TtWjv9GOKxyqx7TqE8MfCkYI811inCFZTUED0vZvCkOnb0IQl3a4yvjnvCObnGaNXnBuipxJiRLikR8FltoKx7H3S9m4qcstHZ4VrfzaJX0a9mcGiOSh8vGvmI5RvrXusqeR24acl0aj5/s8INbU1KcnESgAgK8LamdEVzqr886SY5twy4Y1XE1r/SvJyfL8uYYuvl4dG3C4YbMQ6ekpD3WDzKad3KEteT5UHFyrpqGH8gmh46h8bCyhhN0NNj2xXyQ1eE78zPpx4I0F1fOw/mgDUuAQbQFo5EDjzS6Ce+G5I28qPDE1Rt5WX4erP3pRI8+7ryAOV2IE3rDLpIAz3hiSHTESbRDOTX8/eOV+Qoq/kBdxaXhtG5phxDomWrrRL6VYaW/W1lg0ETxjrkx/HnMd7Re8LLN84s0qHxoK/aVfKv+by9L8v6rKNz3v6eEK5lu/hPa+TC/mK+o0U+KeYD4ZfKIS3CfHNsklMU06mPdJmG6UxjnA503SktIvKlxtUET2ittEiO/fs31o04iMhyiNw4xqWIN63znXkl6VpdsqCg08nyDf3c6dfwLshqIC+xs9GZmYWa/ZpaxiCWMnTxR8u3qaMb551TDN6LmTaLUUx4NOOmIuiQVG3iVZt8b07gsLBzok5RsTdSMj6zjmN5ZMO7i5QcvFD2mHLBLuoxzaE7zcEx3qy/oA81sMMdrrDXFN4ZrjeHN8mhlTxRyGh3jXdBbxmbcjg0uzGwPN2Rw5XoietpQFnTO5gHMzyUtbBvd+2p9vlI77yTbhtJOfgEHROvirqsPR+APupOxpphJYfdBnfcN/P5UJxU4l9ND+KTwmSt0TFg7RROsbYHVhmGbpNW0wABAABJREFUVwTsOp1kTBwSjT4IDsvTIqLsNIyOi6ENGu83ruqE+XWepFTQ83bOAYwbqZThea1XtMT54Mjv7tTPcvdNGO2pjpQ/OfrL4h/hFCukCRYQQHR46xBylQp9K/CYO3S6GhPJc5LfBRx34/EWMWADT6Fpqf6iHXdgLuD0eRdO00+lrla96+B2CdvNfUB0ZOdAsnVK2OH6I0kfhtiflpQYBSk/YDy6taFEqRMUsOzuSCTf5DHvfDHlBDPlDYCtgVjk0qsZPVtThBwILCcsYl6gIIdoBsl9iBFeLkQVXntn5gVrkHdcaQxG4S0xWANFfWdKnx2FYu80H0tlyrPONodNeoo6GYf6xlip2JEBq9qcDZFYhaHVo2R3tLUwuC2YhdBkeVFRKPDDS8oxutkNocHtEoQ+3gSn7xj1uibeWc4EIH0s48rxeT4/VOQlwl5KKXYavaOqbDN8HBqNmF3SKWAdsS9xbPCeEOwDVpCD0dXuLBX1ozr188xziG+Q2P2mKaGwVQlRWvSBK02SlPDHJ6QPBlrLvkGaxwpBJain6N0rIW/IOiJ1ImNRlCLLSNvO7+J3EPagHeHhZoNoAVr8A6O7kDZ7/wB+HDVmfEI/PxZd4eOakvdoxD0YXWmz0Q2VlcJZwKyiRgLOaIBNUY3q9CxE9E7a4d/92Sz+OJ89vkPjqsxI1tkUMkqbAVVfRY7P0whjx3xWR9TS+rC6H580zkeYu2jUDHPX1jrAsfJuQA2du9q56OzKp0NEP08eOdTnjNX5eqjTcTX8A01ZjXPa8pk2BhGvjVKhjwFGc+o75kEQTbjkIItUPOdcilLE+kmG6HAKOOD7iuYhjzHaSZuxYSPS6CONpY+Vjan9fIH30AZWkseL+lFkx+elqAfYRTt9reEcJhqLeaojwrpjw0JSyYYX7JPpBCSvIn4yCcoKFc70DGXnjvaESO0KR5JPeO7sDMUBvkg5B638A9Z22PyVjTF2FGNSpQteEuRJlJ9wjo+iLdA3iV5f8a+PJP2pLDYYOwFlA/Pm+50RyrM3fLiM8POX9N3nTK6wxAH7YqdPVnOW8GE9sdxAfMudrqxHbYy3yRGtk8cwAf/qAdfzpJWdGJ8iQr6Dk/RYzyRJf+mO2MQ8mNzYlOg6jWsAaJlyuZSV+1/kep0UKRlDyrZwJ4qkDUsrXxhktw7PJrsRjQ5OqyxzGRoVn9qtW8R/4wy0DE/wuGhP0EnHylNeYVPg00XMmtzTOvcSvgy3y4uRgRU+MW/zoqA1wXl5t04QDOneySka5YVqrgusZf+M67lytEBdcsnRPW8Kjo8BGE7EG+tuGmOvDLmd3CcC3Q7G6hLeE8fsL/0xr3H8vq5xWe+WTKfxt2aaYQZUB1ksadZlgzxpa/1FIq2AdQdbXgRcAwxvj8p5WpLN3zk3dBSAVEQPkeMnqz0iIvoZqto5jtxNd4pXeg6uBaSHHV1o17132R6fzRS7oh24F1nVwcER6LgR+EFBNxM8kvMvHZ6I9rR5qseFrLHToUKZu/Jmg8MlrZPGoRjW2VPphj60bWNVZzWvq993yuzgjDXPFXiBXaHUXgXQyaCjaGtR5odOH4bYn4ZUeRAHxXUx486TVaRWqK6ULH/eRnEuxnx6Z52EZ3mhSbEo4b36QZsRhzsC1hAkcc5kKvw8NQpupxRVwta1obuHfwJY7R8q4V7WZ1LerOoGEITQ4mjlgJfeFGoqZgCKVKzf8IU77Zo6UnmUuasjEw0XobG+w0As6xcKcN259oZvtTE+XkTkNRqTro7Hqo4SWZ7B/dHGZcSZfRaKnSn6tvFuAu9uA5frK9vBP6sIYOynuZZ285E3CqojSBc+EYfOi65MqEjM/qw8TzscLdr1WoC6PxdvewhbIsFQUYihTqiUaTbCVrAZhoj0EfhFSnQK0zwWcLs5slGE3eBqQzEAR1Bgw3Hqs66Hbw6SkVQlrW8zxLoCDEqNR3/h/ToC9R0ir9+Jr83K6Ic8JijZYc7LVLwk88T5Ih43DAIwwgnrZeVhT9aBxezZRGnYPx0Lp0NWpiBln32c1pfGdrRH9hK4kidi/iIvG654s0lF/erVSvG8nUh+KeEJzKvXmgbzEdnd2nC6VfBL5i1d/4YoJITLDj3gINcl3oBP9Va4VEoyF3nk59FYzUyP8xJugG/gGd14d3OA5yfygwmLlUzn0Z2ySfVtDSXYxxsZ1vHZtQG/M92B9+3RlyKZtlV4VPV+pDqNMaNg5eljefnEm6eqfS67BOMbXmtzB47PT6BdLKt0+NPpKCLAU1CEf0YfuIFztVF0R+/uUsr/ljt2d8YM1M+fSZt5k2RV5rUFT1p5padXm2jQN0e6Yn0oHyb489VGJ12ZY/6on9T5hfpGROqokWflDigXZMAr2g9yQNjrCG05fwTHG3jOsJOxt0h39azwfhTlmvKlPLPD6dlpxbKF1HOm3A/R3vghkuW2AK8wtrCM1zklR7wMl32+MxNdW3a3HNX1bLkrnN5UDOu3k+f87uCL/JzQgS+s5/4o4QFlurmc5y7Bh9+VjXPht2hBoFNQIOxViYIeV4BDJ862rumQP2yIltHW9wm8fSMdq+zOv8DLtzrHG9bt5XVhN2CU9DXMc3OwvYFnKd/fwPGtrJAiZR2W6/1XxOMJ1nSHrk9crtIV7bjt3FnlIR2n4uvnfki1qBu4T8uABY+CtfMs7dyWAdlsp8/dTWU9G+essj5aS+/GK75S+jDEfquJhatjMqXCACtCE/HxiO9ROGom/HZxTGXZFyEeD4kL5WE4MnBJDD5GVuoyBHid1hbx3yXRJ8K23ZBsIlgHHN9VHvNriY/NrI7mbOpiz18zgoxDV/TCBGBCiEXynAY96h+CexrLAQGAo69zvF6iwRcNMY4f/KUNjgqHjZJYKQlB+N8Qz6RcoCCAjxvPGT6OET22WMAMG/IIrsNvSLpvNR41C4M5dN2TKoDPsYywIcqJBDQsc5abZfiOmxc5jwMVSd7B/m6sutwQNPJY2tHAjxd1oxK30z2HzbPW1vjLAmcb9z6HmZsCHDNOYdSe9wH0SziqE+/qUomRfnwkH7Td8bWiOCYTV44809ezDos45LtZQlUHtMGWzBjZiEEKcmnomm1bbeDKxsyyjKv+SuPn8ZBJu2Z/Gc3eHJUeolNRIS+OOg6G2t2RegSH34ssmpw2AV40jjvi+zL5I0X0nkZRM6CuMfXlT8c/Pb7TdVzXOI2wFsl+AoU7WIFWJqHRfsNdscn5YMQy49OqKzgO0Hz1CNtPsZ8QRzu+2JRd56UviJy9O38Hz2gRP+ZYjVY4/dQZ9Yprajht9PYQj/GmjLlehyG72nu8juXHZWU+rbZb3kCbij41Yzj3nwjw1EqGwnGkNXe2PUr+6PGrMlY/MzyviPBRoHvlzgXAAXoSZBwbAqC/aSMOcSzwq04pMD6VjhFT4EGAf+JfzlMKesbfi7nOayrRAxobNjBwvjTGBTkOctGIEdVhaMYqf2czXo3+ohGC+4LkN1sel/004Sk1KG9ozTGuDDFYFOUVqo+dPb1/7A/n9+64zGpd2HOC87TT0Uc6U6Mv3s3jOpsvgGLeVDycDbrm5ETywdYIW9GBAjf+XqabRpkIH9bpRermZxUJd2su4zHD5qxc6Zv8qDKqNmlrYGFj7EauK8dhrt+d07LnczlVQz+FkxCcgM8PPr3EjlE84u+ybmk2MaHO0nG1SSx3t+W6/gZdko1uQZ/ivkHeCryD+wLrXnyM58l6ho5foT7Iq6/rZK1qDaNRJDgqMj+3oy/TPKY6JfIi7q+gC7PjcQUXeS3hLiJZhkO5poo8NZGQ5UyuA9bEzoAS9hZovob2FXK/692jqIN5ueTghYB7t+/k8EbMLxL28qJjFrahqMsSHbOe8iIvovYFHICGlesTZdIDTrth/Gx/knTS0JYdr9AlT6GTr8iSr+17BWMcspziSQYfFe1wvOI83x396Q69EyY7ra+MUq6JtEcx+lMAuVDQr2zePiA6VkT0NQN50LqwPZqzzrpPUhuuUrF+20T0OR27u6uXx9zWONPtiiYingXdTHmreqtXrD9iHRyhTadQBD7a8AjLF/c3NdD5hGcBI6VdWXut+fktmAWf6nRLL0JyEO8VBVvKnTkCcyGMP7f7KJ4Rzgupfkez5UU8JtVS261Dz4M/ZD8uRZ3BbvEjTR+G2J+B9DW9ARJsN5BIVsou7ox6i6eGHLLfzHkiPbWZY/c9cCqOgSrh8vEgqMd0jGKjtN7CnRnmladpR7xcUaDnnSH8iTGthITy6KGm7LPe6knp1qbdO+Z3IRTscL5kKo0idZW6o5XSe/hdHgWM9T6RSmGpEMy3GyKNQb/1DJZFe7rI8xIXgBkMR0Vq19nduhphqnRIUD3pogncoByXsIF+3onUZ0VoqOTNvLdEU4j4scFP0fOKplaG4CdxCg49eirqZcQBKJpnfnsPgib8KZeF36ZQJycFkVognmWTQ0YSyDUK8gXfGHPHJxiIkoIDZaE9pbCMfWFtCDhP/Cxifc5VPQwXy3vOZ3mMk1UM6iOoUA0vaxcpNOlIvrT5MYnADWUglP8KstJakwVN/CLAcg9fUn5bpcg2aJmPPsnDea6EqKQLWYZhtK9ZVrzJF8toLhz7Yi6GTwH+ckfWCLR/L/+Gn9xPpIy+1fB42WfvOT+/RhryfDTnR/JkpxLdy/wGYmjrqys7T62w9JR8gA494XnOt4VbOPFyqnSJdzneMNVTkJy7+lxRrk2dAf2inkuY2B98zQvRvlsRPVhnkKtyR5mMvD39AuEWOo9Ir39cpp1O2OBwuywkNJik0y2u4DV4bXVSy1vx/WIM0yY6yWslfnf5dVdW7uhqTy6iZ2Wc9+aVOI3fQmdmv2/Ljma+b+TfS7m1cXZPVQDN6ejPu0drQd2dk7KnnZPwJRKLN6V2YhBDKGO46dIXWWfGZ6RjejPC0cQjrNsAjzopOWJoTxeWQ+XS90qnAsCxcvr26NZnVCGUwd14NHnPWPUmg7yCzilyBistz7FI3ypkntV7EG7XjnfQLxPNQzZwQROfryzXfRUF/MwJJrd42E254XbCsa9gfoU9gB888Vr8kjZ+Dd73tRLpzfV4//AD/mGI/VYTKpOH1JNpKsTsoR5SEqLOPElAgs3rFeFxA0/bBEThho8wgOcWDVvh5N/5vXl9VfgE4QCjDNe7JKSRQJGMA+69tioM0V7+MCqqbGxFA4E/h2hi7uPSA9GZyhIERVAwW21qFU47VsXu5DtW25ZhYNb/ev44I45OoXNwdCEJBqfipzlK8ziRNwNgnCMyIzNYsdAQOeZ3jppXrZAXXCWY8PQKUU/rGEXlvpxl9THojq0FEz0YvZ0kmGD0T4oSJqNPGcGInpejmfvc5FdriwSvsjQmtkZYACu8JQ+DCfcI7u6WGLrmgOGsr0txqO47OkGpw/C+8/6WtQYe6mMxZj/ldX2185THPUZLD/8exs36gJVWm8eY5p2/fMeuNxuMwvoTcXjBq1rXn0Uw4f3NgrRCZNFWRM2nmn2ZNJ6MgOyxh+WdPr3MTrcoRqtfJUTHrvtEcI3KctyhjVozzrKyfeVNG+gSKsIq8kDFF73xZY0JRqkHY6quT1+Pc82fdc46oLyVDTwF+uKBkbBzfI/XGaH7adKB1zwGWJfNg2Xsih3zIE/rZdiVZVSFdV/yQ6sLwVs/oI47y75alOrr+WdHL+uriv5/sO4VaIfV/xA5xjwqF/rQTm54hftIlXmEj4PG9WzrGCLRMSUvb9rQr+ZciuaFfhGReB/pJoqi3bj0Ph2xzOS/ZzmQHzoj43yH0Q3uBEPz8WzHvL/7dc5vO/bLxv9VHYatH74TG08vcLp/LLghAV1rPbaF+gDLzs+B/XNF70jeHCLZKDOKcfc5qw4jTSeMGpoya2uIQFwtX7fZhaefzLYMukerNEQF3Bc/PSMpFn/zdnoebpi1K/LhoOj7kXDIIONnuymKuDNvDLLQ3BBy3n/B1z9SnXab9kTT7hoHUWcI+lPgh+u++JDAGevOsXaIZ4n/INkB8+JRik0kSXUsacJhc7pHeR9sdaoSO+YyrEYHPTMPWmtMNOK9jMkJTeLYurMaYFHJWQjPnO5MPgonSiBNs8Zh2UB35vcioibvF4jY6R+Wx3WbO8nkForWOXFZNBLxWHjnDkmnbZnsoXlIykgQ4g8ecW2ym2Wdpxe18IYIRjJ2+m+ny4hIkoddpiI807UWLgfAffUIM9Dz3IduaMZxNzxS5snDWM7mtlFivMo9glG/c5TniVo8ZhWMUC7gAW0gfKq0NTrzSSUvwCObPG004F06P+WEki90kbJgqNzdNc1lA52iq2yGXN/vajB2+RK/stREoi7AMAcRZxHx/QjQORc+IFfPvnygA6+Vwz1LAV1uyo3hJKUR5bZAN22+asga2r9wiXnwVJPaqC1x3iD9k4u5y/MAaQ7WNcT14DMqV/0UGeNBuM/54Hnh3r/QPoNh8Df6U3oO/VTqbpvya49n5esMZMwjSp5B+ddpHXM+yBDeKyyvSEOYOH6w5h6035uuhFOYj5inSgr816otTlxAvcX3aJH+7tZ/NfX66ZhTB/tq7Luy9kyLLC2NabEr8yZd2aY+w2eZivHw8jQ3MGuxN1HhlGCLtLwu1FOsp8sjwTXLEoFG0Rj80OnDEPuRvk56ayTVnTQqitIkVGoqIpRgr8999OW96i/L76JUdgZpK9OVxfddeUxo8OjysGF/UxceKRsILx+JROXxOF78LJlIlbq+2OU3+PYVNyp33l3Fs+p4pRbvDcy9JzrB38B0BYYYW3X81lXkbqss3hE+nklBWZk/K53RjGgmrBfMe0hUGu54C9ocTcd7EhO/431Y3qv4IGO94d4oAuFoHhPYr9bDlZILz9Kx74UDiZeHDcbSE5kMqTrkdPJgZ40Cr1uRIDf4StjYBEUWFWJTLF3h9buxz62loWB0FCwviafgBqT/hmjUsKZxbh9LqWQD0MJr9QsaXNAgLFg3eC6js5EdIexNecjaKID2+eYkPfa6IBI29IuI6EFlbQjM2Gf4jbWugwEa67d2CBzBRG32CFyRyZciTXLYdmwV88uS/6+1MDj/F6anvP3v0tSx6BAfT7fq/QLkDb5AHwK9srpYMdrSxQ0/LI8F3CVciyJrruzq5fddBN+4eP+WVIBpT0DBfih5PTP7nInnXHI6K50zBca2qHfQ94LvXo3hLVrf1Vkl4lkf6YdJd+jb5djjvbBP1Js3Xe+WfePavipmMkV3ehLlaw3eV+UTXkuWae/KbdZn5OsRr53ecW/cJ41OkcY8dvQp9M5YdOP0+VS6pFMXDdv0iZXfbjbyeCjUyVXbsHanCHVtaXDEjUrURxQcxrqTkoaqyFE4VMkq0xlhwwZpIYeFPgN50A3u8327l/DWdDGWiE/I/0wVxI/fKpvhiUmedjohbx0FJ906n+8F3ZRFt3tHTepPmNL8+x34+xWd6mT0styFg789Q6cSNGiZ40hw7rXoVtBz0DHN8vg8HFZm4T+zRrw16o3+jmVMo0Gu5xkPK8oKlDMajnNQRcZjlffsRO9H6lyYSNb+AXoooq0ift0dRsiKLB0OaImzRtzjQ4fUt06xLyn7faXd3L9Jy56mt1f8lRx5q7ItD2a944KPd/qxyIYOX4xpOiL6x5zeIua+97ze4cB89R3q/Rqn2HyN9GGI/VaTERLeLOZUbSJ13rOqOa9lwyLFproLhi/FxDdmWda3np0CSCFw4TPVrSdzxltL4QGVXt/QVaABKvluo2N5FleGCYzAwvspglcZJfSIsjzDno91LnsQXDpjxDjve5Vj4y9C0RJB8DxUhhlAH9DfUNarUpFh9yIC7khE2fjNUV/ubfWymHAXVeOb8HgXBtYri5lvz51npW/WZdG3QSl91P08DvU7CRe8mLc04NE8CIYZ6276DKgXm7Lhvg7EXXLehCYJQNVxxstjs2kfjaMI9CXWo2uMzraMqUTku3CTwO/KxZpv5eZ1pUSZ4D7xtMg8PgKW+9TbcYyF//z0SLGK9uImkWkM2AYzDIKy4gqQgOCAz+hI22CMFRGP7DKSE/p+9vt82B0XZHDMM3dMQ6t2G4B2n6tIvBu7SRxBleay1SvsYy8rYj8d26R5vhstn9HBQ3VGlSIdm1UbTdHVF+PT2e7Hp3kHMjiThHtgRdxIKqAIJ8Mi1lOszaBYz2cqEqLM/R0YMVFBPz4DSAUYKi4fhLEOfZ7nQdiUm3PK6gze2I9Zxu+jPZ8fQEtFzjKKPPsQefxc5B36KqJ+0sJZ9vPvmev2c45sXycy6CqDOAFs3CFy/oB3pRotQjmF6KRMfhw6c36tIwKgLOTFeeH3985THWLefDywG+0NHx8/rcsUsI7P5FxS4epDs/rJT60wj/2C9iEvURkpmuWMeq5pBPJwa9/x2eQnat+k6VcbC6kmGL4QCVvw4QDnhYDhNLD5NwjOI+ZhPoA8rI+0yG08261prM53xtP2sHUMkUeBM7W726At08VYBBg2b4fASR2a68Ry2KbHSSswnXNth8RHup2KSKT1YIQ8TPu2ziZ8bQsYXK8cArZGBoCZ6p8yxbqvdgPgzvTh9ahyz0h6w4FsSw/4dBdZtIX1OY+Kv6rT+HiBPjtalbiOUePs6zzT1+6YU+aN4R1HUl7OA7obDcsVNO2po4mrdlbvXVYf+XmQDaPRMZyIRA6Eq4pRvxuSeXuHO+OPfAR0PpVR3kNb6e7+ntZq0F+M9ouehlw6kYnHLUY7F22YuLCD0UKnX5vuCCkwT60Kn9eTPpms2c0VqKbqfnSMVKjLy4J8cHfzOM1xli9kzFNyNrCaVyxv27NeVhkuC6Xnm+T9AjjqEaPxEz4drjeOFm4Nqhipy6cTVFfsgPxVRRni+nYd84WuxDlgrc06H58iLazks2r/Ll9pU/wOdIeaM2TtHRjtQVwRD4LhPCCN/WQB3A6NW2tBJx0i+ihOMpvwjwHBIoDrif/U3WcGcwzWoV7gATKyiKzI/RerR+v1wnIIy7Scr0pcJrRx7vVeLfsrOWi+7yKR3am2JFKEp9Fpkbx3IQKnHNn3J+Rv5G8+FrF+3psMUbM+jheE116R3JH4QtXvxTi1jjS7/rxKBc8M+5FX3drw8fCb2/LEUJW6dIfHnflflau+X83zG6m9tsL63OTlHzh9GGK/1VQZU0tlVuvvTf7EXHkxFN7KKRJFug1BEfUdmAIvM2TOI9/KtjzhkVMeKTPb4OnzCIJ8Z6ztjp9iDzS8h9AYejom2L5PQlAqvUT81w+AVSolso1A4zo46sfGJ0TLJSMc1Q8EmI879DKFkQ+VsNbLd5bh436ZoSQ4TzDBFNFjClGF05BwbKmnYzFkjtT0eSDrueM8lYDAIyqBVtYcTfPK683rN4DZRCK3DLqas/wcnrmnNHmrtwZiEKTlsdpZrcPgzPHIbWRalQ2NMgX9LASGpLKOxX5IPD5IcheFonTMTSv0SpxfSXAeUhte8F0JdINcQnbS2asoVy7GeS42IkuYgb7RkalV/e45TC9t/bozzwRwTEOXzqN0cO6GsvG3yHlU8ONlHhv1OOk4Hj/sbYLNoXBcD9DGYDTt1pbGuYAOQSJETwmu2LrBuYLtg3nuCi8rk5AQX5tjPu1s40BF9POq3xWylxOX8YAyKuddsbLyik6jrbXN57P68fjjWH36Mte74XYeR3WO+yFjnYD4mAhBRIfDVZnjmGn6cnfq+0Uk0pFujYT5ges20aa1Ua6PUcpMOK99g90mR1t/Xh+s6PhxfsW7RO+tzCMeAbg9aszpATca8tAG0Yrk1vC+rqB/VeareOEOBvZDxecIfsWzg/zsa2rOsweMp0ikaRucue4kh6Mw2kTx4nxSc27hdqYy63vZbzxvNjivzTPa8AJ6lvier7uJO2+jbNbDR2qS34/a6GJS8ezRzqvL9GxUp+Mjz8k0JYyJ7zNG2Btz+nKD7J1TVV+QAzhtZK7b6T1gfO3EfBbJCjuZSn4XnpFR7ym6wqyXInDY2YpTioRVej6fuaxgPADbDLKb01qQSRjfwu2xT438mmQqyNdGUBlP3KzJMkKqy1s5/0tuX7txfgWbdHBP1Xpo5ITwvqtvjmXpTMDzeycimY77FpI76u/8u+QPVSDFVbrDF77k/lZOHNghWeey5HsqxXxh2fXMr/B9fsLeFM531HFc/n2RoGearBSRoq+An0eXGt52jPlBcGWViTKWSFiXSW9BvIqyCH5E/JKDvZUPeyazz1FftSbhCUgSn7uuNWQNphnfpj7qV6ENCUvKjXqydJKSngz6XbTZ231FX96Bj7a60l15/NlUyBlsjOXnVi4ZUlG+36QWRlO20ktT9H/XNxe4VPuypZ5YFl5lSttKp1d1sKq1dnPM9w41DT5VO3nvwEjqpn1pzjKMCj9ea7tx2vXjpNl4bPPOwef7TB+G2G81PR4SIlh3RtgqwhQ/8RUvIo52eowQ3WKpjJjzH+c/vIswl5d13y3m2UQnbo+NtaQF0aENIDb8+CvmbyYU8SaWQB1mxLzySC4Ilz93BJaQiL89+o0Fc5Fwf2iaEU07rd50pAe0Lc0LFMAwggoNcJ1A1ygqKfryZSw47OFXUS7DEecMMEu7N+XEcwS4Hp0EUZMBFratSoUgvvqsnqfnGJnwt7IMjQIHR6A/YIzRm1CtD4p5xQzI4OhcmzIkzNf2/hj8XjDnYBATEMhcKVEvz/dkxCN51OlWcArweqT8HnGxeha+fE8LlgsGPfeQXLimSDuJeSp4VfKjj90INWDMzu8HRArx8Sd3DKXlM6R7RJsCvZjemYFvFNEsKSW6Kol/rChAgHccpaNMMsBDWgZDXlRrHq0xlUgvRUA4m3ebEZ06o8YMD5izjIjlx7uLYd2bEVJF/Ghhy+Pz8oV+d8I64K1QNyq5bCBuN2ihzV7HNBD5nbUcNVfAc4WaBOchAF9wjVt/CXTMDGSe8+Whc8PLIoDT3UrwE2mcR8WNMOY+5Ob97B68EsdCNmv2WN7UnNxoTfNrp1CoLGcVxTtrm/EOTgiUt4uCzQ8BFY8C1lQnb46W98i+GN+Khd0RQuJYW0QJK2QcNWsnEFQpXHVA63irbO9kj+p5lR/lowYUzrng6FPgcz7ajFEzD/wd8M9yswxkxdaAg5EeXb8kuN1LQI/rZNgYGV3M6Za/cYRdx3s/0j5NZzn/jqkwtJaOoDvw1Xh8yUb6E0W2stHUL0tnlas6d/PyycQRTdXzZNB4pt/vGIuCnNLL0G35WQ+etIJ8sJJbykgjjZ9p30CL7/aIN2atnjH2utomlYa2rt5E04kXNgZU5H3nFREa5LHUFxX9ZuduL8MZ63eVUTbVoXI6IqLRV4DvJNkr/uY+KmUSHF+c7s2dsAEeGrWgr0bs9lB+EA9xERR424CC5sgXdOdCDm6PvQQ4NjddJ5l5WS/vooJFwWGv6ivEacg6aaUba5RNijaltDsNgZ15SCZt9RmRZo9xjZN6v4ifjBROomP61aHv7c48DvFIJ5bZ3Lf5AU6D1bznfb+VP8IaKhARe757oJO/QjlK7qyGeKIeg4EJKI/hPA9zvOirrSwG+KXC8Gl1FfsuQa8UOZ1rBcaS7+2eukWKcoP5PAZsR/r+33DD7jrpS8Qd+r24rj1H3G92MbuWt0ObsV1NX5RpJ5OQTrA9BZLBFLqhOb4HGntHhn5Gzp59zI4HiV8z3an4zKa5pdMU62kb597SQaqilyDf3DJ6tjITvKrmhPXHXXkM6Wo17wp4STercEXcdjSgwL111hVYQxt4KQf3xc15eHmqhN4G9dXThyH2W0wPEX2dxykwUfaNMmQkUYBiD8nwG/O6QHJuKKOgJCK9Ul0RNYNdCE5h4aIx1upG7uobdrGucBzNZgFeRdGl44jxuQlQWK8fCXK2zwwe40WWUZSMk2Vio5NmgczTZzP2yhp/jzDp29olH3f0hq8iBj30SMQVa1V54GZuwcSqY2y9DmC8SWEc6n22jAUKcBF/SQpjQGb25/ISjQzcNk+Pz3D/zAuB2fQne0LyxkY1LjgdXPgHYS9s7rNAKuLHDqGhyIXxAldbS34E8DQSHRL7OZQv5izfT7MTnMIY67p38xSEdQkCCnlhTaHxM6BR4cf9PyTODQFcQoPm3FDxjQfD172hOYoODfS48TMQZiwXaBRHbYe2jmWorCLb0dN5iPCGmNGhSFdHOIJ9lwIfQHxF/DjyatMQl63IpH/47iicUxT4gRvxYx5WNM34Nwq6Mw5dDhcshOL8hjXfKp2kAIVngJuO8zheNlSonMY7PyJJYh79fM4dN/DhfLW7t+Ao4BIHldneTHNEeh7gm6W27nCOz/6tNvGQNrjjsfVhoRT45qxI6n8fGxyfIaK4TgC+943G9iriaacMmLEH1sFZ5TxuD+iSylgOAqyc+tCoyMuiB/4e+jPx6dTnMcrBxxhoYKK3Nud3hj3EVySVZ1w5Lx4pHzaDQ/usf4D2a3wf7srBvmAajwnmwdk3mr2rcWOyaWNv0IB+Dww3ft85PnRrKMhqQMNUNBxrrmPOa+DthkIHj3Gw94NwLmk50cQa+YvXb4CNNNw2vdJ7kciflIzBmzVUrTE8ReAjXacla+8I1Ulk38NbPMyjxNdvDlqS12wB3UTwZhTvzlDkTmV4hCatkbB+C924dYhIddYyUpl2awWzMW/GsrhuJd+NvjWikMNkcEqCulE+CLh7/2ZZrkvpBJRt5vpxis6xZ3enVOGgm47pLfKFox6hn5MuLBLGNsh39Px2gv4NchjCYXhafK/6qJrbbijS+H7Ac5G1ET5y/5VJlxyHcCqnb+8ylpmMZ1NzgnyOIsOAsaH2B/lEBebmvcFJEXjG71mnNBmi6ieXEQpZqUre33A6SolcAaQL7BCcV1qWrWhJkuVFToOriBtkAy+yd0P89LfRNaG60obqFxHTChatVVmO4SEqj+90BfzGkPGivsfhdUH/Bl0T1/3UccY8vQnXI+uVLmZThK0MWVdimE6INM1kcMaBZUkcG3LoTXJ2Rddlybxe58uCz3LFYxqLmbw4/rq+D9s3wjy6HG91TKdebPPcZ3Ja8Bjn9vE06g7LP+nKyZdGbtfrnCUbh5TQf9ZellEpf0fD7x5RzmUcDdRVaf40l0At/Ghcd/dxd7TI6FQMxIh4Xp0SsU08TxmXC3liOeUUd5ZXYwp8M8g0Le280YZqfLhe/AzMqsl7hcMb+tsD0K6M41cy3A2edImfFmuqS8gHgTf/2NKHIfZbTIeETW4RWd8rYtkooZVw4kKUP2tmenFE8VlArhcp1nUjBYbUCPfxeGHjgDuYzYvKa5ciByrP41MQnOzNjLZc145odB7QLOzM8amODMZy7QbBrv4qj/W3CTQgFK47cRHO+tpuuqa6I35XG58lnhNO9FwkD2RdTVj5oThGoSLuOH6FEpbnIuHJ64x/qISxr4y43NwygusGg03HXW7yVTB3dzKUgl05TufiH/x+M/4uaI34u6yyEFASbsWaXAY6EjoaXK4SK9Kt4E5HVeKGlperFOuqn4AOnQ+a8ZoR4cHYvW0MlDviJi3f5yMieSOyuN/Vv5pQ222EEt/g5JGQQ6ZCawRglbV1mNpqQvUxlyHSeVC6RCR7+I95H6rnl0wfNCo8KuI01Q01r5FG64j8zNsiBW2ZyjfSNH82QGClY6nsLlWDgXkNp6CIFVN3eRbHuk0ptj7dCt8kKAf5AeZFPNJ15V93qg9vl9MVGnPvL3MAMfo/VPS1iKIBPmDtDBEM2AZuVkmXxva39wG+0xrWNs25e+LRyEKFQhc2jV+lpHM8J1M0B0cKWd0K77GuZ/Sigpf6+u7yi+RILMTVHt2R0ShvSTfdsQTG7wLeHblmrYUKoeY5w7h63uAxmjw1PJXO8LUcIuIdcGxgZtyS/Mp0/SO9f6rG8K7h1EA8kf22URZTiG6zCbHB+0JuSzzXcYMfG2NsZ3BOMIqyAc/ut8jikQ5YnqJZ+cUGnyohLRKTmfOdjrfq9vek4CDtKeT8sBnYVJsiMvFzbGT4gsYEPHY4wnfeuEZjLZYPRp4b+xYiDa/qun+TJxjNO75S4OOb6Gbd6HiWFGOL8G7w/jJKeMD3ot44Ny2vLNm0SjfkrJ4+NMdOV/1X6BVlmbtppxPu2tOU2+mCLX2oaO7FHoMyDcGiBR1tx8b22maQR9q/Q71zs1cy8P3UIS2Ks4q2dp6jsXxwsDDY9Cw4/1K0bJnusMZKr73Ir1U5oC2d41CiGUaHFd7P58H5G3gH6oguI6ODuci60gZo5XiRdWyxgzzH348oRr4w4ndzEBxT9x5jzh3L5+2jqzOsfYJj3qz7RC+L9yzTXqWKnqZ1swGGdPoOjy/K75xkEq+D+kJQyx05BHWDjQE4pbme3MG5eI+fHT3f4ikss+3xOQts8lylG/31Jni8dq/SoM+vke7ArtbOXfmiklWMjv/A6cMQ+y0mPUSOQ3aeaen3GLXARBGgpRdft1j9mNGR32u9GlyAwQhOxomiYsukIADbAiPhQYG5opA27LdIuOc14Ii/IYq3MvIE5dS8r3bE2gQCFnaUcTR8ZiQjHFcq7qEigsb45CFXtAf7C7KFZ9j2VFYkeOOFzdVq+owhD4/ujRvZ4Vhom2eDmGQlNJrQh8ZTNiYfJqQBfCrvUctzI96OrnR4OI2PUW40V0aTKGDDOpl1owcfCpscceZel84I83wN815rfmPwzvo0MzSlfFTGxsT7Auq8Yxxdm/3z5bFogDeDyRmUWUf52hqo82Jd3raJE9KDpOzBHDFhzgS66g6MMD8q5Rf7C9Og/CKiRoNIiTzntxEKWDOVl7CscTybqGuuEI3z768Zv6FzLRgNs0htv797xGOFVUTmEdc+Xi/ouAI0C+sBQ4wbwL1dRgNtgiU0Z5+dkYxD1SuvxiREVAqMvZxHQNsatXWDc16ORbuYztldpT6fCv5wiLjS1216HT+ZSuGLyOO7tdZP3maGRmiT87Tz+/HZcJUQ3aqvE7accJ0+a4STNkSQn/q6m+/A09qP1ob3gX4d8TnSOU/cZ0iucU3qaSwVHAPgszpPSlBbM1bQ2oNVssPTY8jxE4DLLG/OL6cHthFpRwpX9E7pE9rrqTL8mkzDJ39UpIS9n5F/zk0JPUbKe1a1AIZN4iHrSDvJR68l3odRvdiOtDkdx4Ijj8vjDskj3PnAPAnCaYaVD2te5xpdBvYwz4E2jhetTx7gduGJIJKHJMhZVXS5yQ6QD3EJd1kbcNqc8jnyIJqC87BaUygrw/Pw7iqNkzeIbVJaJwBdZUfOJFP6mp3jhkcUG01t6KTXZ59dno90nVgmte+sM36J8ZWOnLx1pN6dacj8SjVfYYN0C/TJK8dFdqwMuqKlZsOfcQzyBvV3XJ/7Pva1gDylOFaw1PO2gDfPQYYK+lnijZY/yqSl0Wbzu9QlqzKIN+ETIlxk5KtuBPhMARevIynvs8O8CLPoyNKJ6RAJp1zNtpRzTrIsGXS8g+aTZ4ICX0IbiQ/7M+jzKio1pRs4oGG3kzeSXF/IrX4aisMVwb0RETnXbWjbDRSNxwW+HdsdIrx8is08sq8klHnySO3qfkhzLN3KnkJrtYCNNKyiV/oYK+JUnucVASbue4nUNBfyhbwTJwuC6JxbyvUT8Jknhc1dcYx+xeT6oiK+ViZeHSUiIRrU8gZDrND6gXW220e0+qsxCvpiUz5FlYX+kZR8z/KI5ZYDu5hYJ7bfYm03ozY6+Nq8c7r7GnEcIusavDmvH9+t766rHDL5fqSjx+exHHNF5ilJE46cMu9ZTP05GmWHXd3l4wELxWlRDPZIfSZQhvlWRasH/ebv1l+y+jLI72r9g0QO6kN6epUY1oBym+LphAmUJXDd6eQh4ETt5XX9rmhixSe6kwVSm/BnsqFwRZt3XT7My2NfvavgkFyzbRfCw7Vc1VmMvx7FHC1SqT9WqZrv75EqOLyWLnhe2XdaEPnvOX0YYn+a01SkT2ETlRFi8FVCgjnyszcfK4XoOQEZOa8pz0xQAKfteeOIwhA/6uTpVBmmbx+JZQggMlK2p/QcJOG/gu1jy5FvxABjZcX3pPRtFKv3JrBFKjdMSJhgfG57KnFeThuC7xF3xtCSlDSzjyUkc13bCMSC0S0DyXNChmf9wnFa7ag9AFvPJCi7wy/BQbo16H0BozPCblOxNvjIZX/eKMd218btellRukrVPa5J0BjxvcEmGlX25aZev4unSOVmKzy/9Jru6u7oVYmDBjhJWC1gdR6+txPN89IIkirIeGzbyMfY23Kr6EJ3N5TAPJj53QO5wIFRD/omGFvd8UXhOdA7FsD9LuRB7RixbKukKMKKiqZIQ1uATnNbVhUaaIyotJu2YaPtIIURnYpuKDIpbRSyeq03YLpI+7tpN3/vlndkbuQv12HHW9ZGx23P6ArFt7QvTZwM5JYsPWG1zgiI3w1acWU0rej89g7dd0zMZ27JimSEWAasjYH4h9Wbv9kUZJYqXRhjOzkiyTPFRvo2AsER3L8OqFZ5KxpxQTc6nNhh94SlOU+ROiNa5QzW1u3A5G3zveMfSe59A2yGyY+v8O10leIkonQU5HzXHiUd5iePVzxesoIrI+PR4SCydMD2tKCL/r1aE6VeS3smQ+C6oo3u+R4pz2WQxa902x3pYXkKx1jlntH0PVMl18CYt3cOVp0wCr5Nz24ZYTtdN8jh4106qzPwBQN3wG2EfcarlGQFS5sTBfSC/q69CC3f7/biBu1vYtkWV4A5Ap0gvEn8Yj2H9x5cl48oehlf64+VfwEv8KtIE6pUTC/egUe0smDKuIcRcDTdaz6TQ87jipFXw3igI6PbWwLdmtRbDabphrLoKOIIPCk5jGNCOnHVeVc0saAb+Pklxxd/SfoSfewE0Dz/IWT7Tk8pF6Bc61DPrpevqJNVad1VnvdVYsYOwFdA6k6fVu+/RH79kaQPQ+y3mMZD5GEcmGYmed6e3kgWPaseHRWYLt+FiuB2zMY9WSCPytrgFBJIgnFt4el5ii1TF2wtD0Sw2X1l4RnjWAhCOsSjwc7+6YQ2jWWK576xDIL6oDKlxxmCG9CHhQGcBXu7m9UEjfGQJQBbnRDp6fiR8IdKTtgkUYleV1aMowLhecA5CccKQv0Ijdcp7URvxVwHFJgwRcwLcryYAhLzlMU5D3iop2OGJ8zlna2OX4rIfEhoI0biVkcj7mSzMzoG8KWIxmDwmn84d1FwZDzDVL3BwLi/Bq0JXD/JKDg9SoesORuBq6//FDUwNwAfEFmsstaHRxI9pOybcj7AGLuA7YrMOS/19RTM2/uiNK4JlRHntG6E50KxDak8jQCezftw/FW6s3u1NdTh9w9LnEsU2YGevhax3G2w4ikBMs6TFAZFlaEDwalYjnmUlFB/SS8IYnLaJuv+Hmvv41rBwMjqEAlra1qNDiycsJ5B+J6ReZLu0Yn9ifVLufax/cdnEoxBUB5Af/Qhcvz/xuoP1XVEsYrfozq+W+tFX9dzh1n0r8MY8Z36S8NNFv0RiZsCDY1DmnXy8MgnlefFOKN67Q5ej9qkOrCvV5Sk1TG8/SvvGphxqHz+Pep5RWz9L7nA6JmdmLCO3FLvh+7+2NWp8M7mlsRy8fvJ271PF0qrDw1e1+eAGzsQ4X3hAv1z1sO02voqw3eaCvd/45FSFmE7Dog2UDvlQ3wujDAmUIdFO4erA7whpTKJBieWv84uoWskeNx8fp4nAPhVICJhfLZRg8h3jO4e6ndn+Zh69G4Bg2kFMPAkV46YMdz91kVfP0aILvYxkUVXFKKI2nvvwlyca4jLED08nxUnokiRTyJdTu+ejCT6SJTQsEM6ZDL6YP9PGSLQbpMRbFMaj62rjLH4k+u277QxnvJzc+j57kqN9lmVwEEt4MOOa3g3YaH3ls6Z5BzUbgAy6iBnhfLMcwTWEMuiHOF1JYs1KUWyIhxqc3lsLeRtDXxMz4vpxKcjYWTTA8bplEuBPnFdhgtFXDPtdX3BeHtluMVU0LlkVNrowZWRleWnBzijIXzWmdgAk2QI7heUBUZcl4r5AnLwyXwrtEFzPpn6sJ5Hirb38GrUSWKmfkKXaxG/65wjN+dvMNIOqWkPyRscgV3xMz5yE09O8b0Hi1LVuWu0WcenDrwnfLb/4AlPsqqCG7ifdw4sc/8m8w0RvqoL5b0Ex5HliSixv51eqK9pjsLb0SQ2zCKNDQ5vjwkf1lvA0+iExPUaToqbsiI2C+EFuLrWfnkVDa3pJDcK0YCH+5zmfS5DndqjQ9YpKfiK+6DCg2kOtMeS3SOL7RzQdyW/e9F5fRDIrzOf9+mcz17fwxAYea0+VgWLr99glKZf7ZwhC1696sLrxIbIK/AWhjOK7xeyTTh1CPTZ1WdUv+VD3BuemaJaNZZn/ohXS/G+d3LSsvk+555Kcb0QltfoDJgiPClfDYS+78awmxq7KVPIINjnyfEbv6v0Y45wJ97l6SBXU/pO3k6O4vLMA204uvm661PMRjpryQtwjj/pyPA10pf6NHykHzqZ0eIqmxFOOtLmqcQLhBeGMyesF5nWV0hvBUu4B0863Ix4Cy5VPz0LqiRirDE09Vm1zVHBFfO4NmLEMsYwt8r0LrkAWRTWmCfh6wS17tiwoYDwivdmeOH3Lc6OQ54nd72Pb40tPAvejpXAc1Hvl3pFW3/xH79v77SS5t0T+N31yCzzOaMf3odR2V4//MhVie856syeVQLblYfi3fGo8j1lPG/g8EZq3IAbK08xZiEvj7vGv7QOLU+Z9wYdoTVdrnHCL5V3egefzRrizbw385o7ZYEehccFfbrzLsAl4TdtNBV0xZ/b8csj/q2jnAp8iF7xMca4aYn5d+1kRbqbV4sWrc/wHfsE54zdP2SGOZq/63POiWP93Z0XT/HK4CAEzeQ+uqOcMP37GonnWYcKyAxfFB3n6+UOQcywgtOJSO7HUkGv5h3QvgK/DlaV90v5dISJDPod4YpIUsDv4N3M05rubqr+4XXmn47E6+ZL9LMyguk9J/ONFO57vl/3m/QXM7p2Tgl3E8sjTEtu0tQS7pOJ5bo3JeKroW8rmJbvMmK5x+kp+kEyQYBd/SY5dqdXRplY4Xkxv57AuazXwNykhV35qu5nYIay3C835u4Wr6JvQ13VuJVwNNO2u/yqKIPy5TPpGUehO3nZYa/cB6SN7jPzfTzeskf4Zv585YQs0q/FYs2u/JGmovyOn7d10AovwM9TpU/BO6U/1q/C3yOWOfWoEfSnCkaAL/l5V58bdOGT37Pe13ZVl6/Cr0l7Hd2A9zwsPVMup2luId3IOiDA2NE6oomu+xT5yhMAm+T7TtBv7QkPT6budKXLo+efpYdslC5Sdfd6zjThdYETnP37skPcXB/dvs+7pQ7uk/VdHuFcFrqR72LvJ+MhpRPa0ymV/2EVy4+I2G8xqZ53xD4ep7e+qsgn4xJj5bHslQeb6hJ+LDLqWIzi9Owa672XE2FPkCXsFF7LTPimAW8tbD2jPjhyz/CgSFH0lmmjNhTaJCA4qMS7Dge0Db0pq2QRBnhnWyHooedT8ACD/CojCoZ+TAC2H+s23LGRsiIehj0AHB5ArQC38Js+7Q4bi4qwzekFMwqu9hm8WIXeW3EXfDMFRaMolueoO8zDQl2VBnmuV3CsvM8ZeIfHWzocH/+CMdk4ia57RRm3AX2YxuNsLG4Sp95i5kaCLHrGpvWRhCsGHmGEPMq/T98sNsiKeSOJiB+RhLCL6N5zzknuUzvqiOmWRWr6mpJp4IlRX8Fj0BWY2cDg3ahAZxBXy7Bwt75wGkZ0JXhiceK+cnCTbg64f7U4lpi/e0Rdk8/rsUSezb4uJq1cdUseb6oD8c9OGnin74T1WPSlKrMQFvf4dBws4jPUQfjNaNDqjh6OqPE7KwGOtQnplClavqamR/rjhZ4PiUcKWx3cLkppbR0zG9DUsF50/Y1D5PW76Km6TqQQoJvYZvF7bfVYKB3sRc3KDfRL2DyFtRWUfehP0QVHjYc9RPRzPVcrRwg3eAIdVu+nSJ+DoD4PAjkm0q/H4s3WPvPU9jmjZ38fnzXQI4uMOPGhRWGunA8V5P+eF/vsdR1VhXctB7kK5+2JVKzucUZ7dgq3bxCM1ZdrrWf6VEWpWURpisLg47DnXA0bWsUdQQb/+Dzyei7K8Skbdh90kLNQ+SZeikdKp6MCDR+WkWAeBz73SdNaDXkAblrnjtc8vcP53Yge/YaXleF3kn8HOgxyQVrDoT3z8yGrX6wLmAdiHkQhGL2KNlDEmfcpt4HbNuI7O6o63Sf+kd6cwrq7MMZ2d9GLSH985B3jpM66dhuGhUNvipZlGjL1SIu+P/PW9M2rgXelQaq6ouFOG6to2FAx5j3xbHujAlHRGtK/g4zKdK2rh2WW3RotcGRjRtXv5aYqZSvLwd5EODoUeUKlu1A9nVqcZN6KBk8abfeRxru6NecXkSEq8hKP1/cqrAjizbIt5A1ylorgiQwoJ5brhVJlULQ6Srl/NajdX+VyQXZ1WSAC3BlYVvm5Rg8bgLpNOb/hC2ucypbObYAH70tYFuyPyJd3iznmu3MKRnv1xFg8+8w3vwTat/K6DB2er/kTYTcNeIx0PHAoxq92tBL2ycKcS7Ih0JSCPoWTZSSvQ6YlIfr1LJjolpVPNBz2j1xWQ3qhwFMa+qND/KSbtVdR5C3kVnxs+oOizGXvJn5bx3T7aXTA5oXdpSpnXynQCV+XSEcnvGPEfG4kBhku6A9Erzk62WEDfqENJK8r8dFy5k3yIQf1z9TdToF1LouxCtirgetlDBmB4ea6VsHVRouuD7po49Af5bVdw4juVH22S0An1PqA91xUXZ4K+8E2d3D8qN7uJKUqT/fc2wXyTGoGnibg9GEWRX1Rz3HgCFNft1UdPoaTzvB975TS2ksCB4DuZA5cHyQkJl21wLVNXGbTp/6e5IU2QrdqJ/HIpK9LIdt0csEoZJTd2jB4jMOPKH0YYr/JBEYaFqRASV2b1ETYdpPRJiyWsSMxTXluBCZWZP33Ib5R7d5HsJHIR1pGxcqULg3P2QMoKNM3BEWVuh9KYyyE8Puxh0JH/eEmosTNP2MMD2p76AsdveBkaKCwpYaP+DGJXr8RK5S4NowrwAf89CHn5qcQc1Rp2+6wOiK6M3hXwr8JTloY61Do7OqbMCz7zoBbGoQZF8jTzh+rU+nonVHkkwjnjqcP45mNIMM/u/vAghJe9EPVPlRK8CjXkgnOOcp9yd6UKDCWRsRBhlsZAUYw/nbM3nDBSLzKUE0pCXUbZl8qGpya6hZNKhZqpSiTYbHq55QeI48pbtSYMXaIDFC2k3LsmwKTyhUC0zK0jCmsO0HaOmScYzQyPNzAgjYEJXkqO2YEPjPMV3SkkIqAMr6KuzFWi3bB+INeFd9fpHKMuK2NcF9G5x4iY2gyoJdOPAwW12ejcLjAW+HKw4frl9nOkKW0zfqOz9ZeADnzsYHSeE04InWOT0VDBZ75WFs/CDg8jXU/kEC/DrG1D/Nmzt9gkMXKJ3PR18U/HR4asZnemdEAlYXUEKABvBFkcDFBHZ7f1irDr5YhG/cDLjGPr805Tn7PK82r4JhRtLE73hvrYrzbqxKSXBplGHRYKBPQtkgv42d5xFXFf8Tm4qqXZcQAzxRuXfTgduSv1Ut9iY4Rlqf1LN7kQUcvEVkGJ+S9UD7Jehse2j03w/UdGvuRNgkcZltj5lvTVudac/hORALPmezwsIFROPXGsn2db0rgxJzggYx2yfvv1o/rZ667Up8CGqUs+yGdwPxY5mKxBVovQHPtdzEG4Wh5cmQMMEI9dd1Vvt2cSXIv6bNV3nZIgP+rNGPLcCrdJhWgSiu5v0Npt16KfF3/lPPEcGNcb6QwLo2MViOqs5qx8iFPu0lHXAYUxEO3fVnBqca43iuSW31z6+jLKh/xdPyM+eC+1hEH/a4zUzDsVscQ30iXeyqYrxrTwmHvLCBRnhZZex1QpIukQ4NLe8S0xu+n7L8etnrgDVq+rjaBcvh+p5fxb8V+nutlwKHTHU6kp6nIec3ZILna4NN8N2Nsoj3WnWP9BVzGKjNE8p4J5Q/L/moaFv1ZOVKsObN+n/XMBqmsY78RJI6/qIzQIQ0fBnkc9aDyCFye7jdkpmSsvZp/2KEBUFH3s6edXI2P6w/0uFunu+P5m5MDeE/8zFx8V1m6+k35C2nuYLhvTTsYF3plgHGhW22PXL6TClkt6fwVTk/ICttU9UE3lxNwiWsRYfwI0och9ptMY3llfDokGLdaz18obVlYuMJ7HCvFuohYC3UQBTiJ1RB5nXgFz/axGN1hwjZzR4mMwMpZXiAK5SI2Y4Jt7tuxgyLTODyCAMhKCntX3ia6SODlgsBYndZO22zGs/KZGVu7bQN03tWiMqKhoyHe6S4HLYTRCXfd/6Z+P1/fhhvEdBrWPGoOBDM0+qCAahvWaQ7bfSUNQU13s6YMhPuh4T4JyxMMP0IKEAt51o4hOTqS24TFVPL6otR5kiNPCvc1SxZI1PCCDXR8Z+2sDGw6xO9sxfzIcFnprpwzXEi35zOa1e4LTPfagoDrd06A0I6OEn5HS0B8Zj2srvn8yP2NXnPpbh+bp0OSQGP3IPKdPaH9HJ3mbQBYfH/VnBenx+eiUzNeLeHfrr9DTzpIeX1MxpnnAfSwNEJMo1N5p05QfmLfjRf1NbbdDD2igRnxwPtD3Bjtc+VUikLfVmNwIayeit/ZKawkG93kfhlOK2mMAZdk1JHVh9hvB9xd7vnmvB6iaz0DfVltnXwOea3GcT7nEdE0Xi547PAQkRfI8yBabWW47Qgb6zB8eQ08YM5gv/t4QNmyf1Z9A2E4ghLH0+b77PwVxQ+wwLNXsW5zQuHNCoHTLrC9yUPXkKSOhH7pI6mWrJeMawtdxyltHFn+EQt49CHk3x13VUa2W164Y9TxmHlDhC3TeujfoCx3xuDHwiNGhiweWHqaw1hzis4d+X0JZ5eHeWpV/6aediOWqx7Nd6E5UqHMeECeknbKiiD3cnOedw4RZdrgjCncnVbxJJHyfrKPRAmcqMKzjtbQ3fIiNe13ULDeqg3E7QYeyRzJcCayeNru6M6CHvUb7QVt9HeQsdKTQU7LjsQZ7k4vKukU8gLMU8CpDTGwbrRYXsYrH7GMPxfN/BhwsTwBntT8wMt5pKf655XBF/Evu5BlsQLfgEMhN1Tvqt/8rDN+l2XsChDqn2CQSDR9lHnjw7VuFn9XkTF6PtPNc6gnOz9sSfT2ZQVLZPHumHkI6v9Bx7kxVTjx+Aa9m3mp8bGqTDEB197FcnjmE1dC/hvRrwxjly/hKNDXG9q2Ci5+kIy2BLdzOMnIa5q3AS/CrePn50uo3/lCls1ahzymRSZLGj0GGT7JSLRGPLIaZRyjlUyDsA4h3YTmoNdHeJapWcemH6a8RTt0SOSfNucpe0mninnEe0CKdRM+SWeyYtWejiE0MymOjUg6ijbsxcGn2t7JbL/jiAhYe62NdkKbWduoL4NM7/rHhMcBAUPmPuXixyFoB6NMEXebRwam4v+Oz3A4AQZ/tzKh30ZNW4oxqPKk04suyEMC0Tngwjjz8eEhMrSSO7SmCekZ9jtXryT/zP44P/LeEKdbjlG7vqK5XdHJy732hFMtz5VtuGwf8onGwEu04bK+Lk8nhxXyTAuvgzWk5Fffd/owxH6LaQyR13FeRo4KoZLgOlPY8C+UYWQs+voIRxTfwyd9kc64mdpx5iJ8xnmU5UuDBzA6N8iJtF57rigHAV/cMOsbm2SYDcpNQFBaAlUKhU1XhqiSF3tmcNbxnq7wGjOoGJN9f4wFD+sFpjleJvOHIxZc0PT6I56POdeCwYwEk8dLAceEP4jkOYWdWQds7HsUCkS/GaGM3tSyDDrTMFQRUxTO1OqsxhL6YAxNG6x+RDLPrwGC/M4D3NCcdR3hyEbLAP0jGc+gxIO3MBo1SuZlY2FKgI3fEb3dqk2FyohobeVjPs48sQ2cguEPcBtTsLJoyLBxRoodK8+oGJlAcLlBPl8fn0GYwA19FOpF0uae1wnCgB8ThLRW5px2IR/yQLtO5WicdJcMC0noH+cRwnqc0dYeKX4nAZ3EDU/cwOF2ef/owstwCTQG1kJSAF/WmJYbdUH5WOXZqOp1DpHjddHos22SkA5rqVhP7W8SCK1/HkijkS9M+NTsrHRrfGc0zMca71Kd+R8FHbe1wk4J+mr8EE5bwDmaaA79FuOD1u7VgdaM43WWe4ntsyOPfe7AX8JB8tjqY8gxj8NfR0sP14Uxr3C/cqK6rD5X+uxI4nm84DmfDLEFwzcOkObY3NeJH9AfFZzfwLOtL20Of7JnVojqEEnzk+fykDkHRM+TNkQEN96xDdwXC9lY55kP+ELFV1AGYV4K7bV+im0YqUyKdjT6z2UAV+ZFqyDMWYHviU+JVLIwr+eybfTZKcmrjI2J1v0Jv8N1G1X9jEfzPG0CKPQzySRJ3mhkiFVo9hufOjD5W9ik6ODwfCraUJYv+uRWf32knG5GxHr/vuipG17kK42x5VrKA91t1ifj6h2DrMPJOD4TFRDWB50agnql52nKX83P9pi3Lo8/xPfwbLcGgcYqMYbK4TclWo/baya6NGl6qd/fWMsoUwTjveNmD/djXRpGujVx4Yi+N7ZP3JjnyGhlGeQtyWi4ScF4CGWHSJJBuT6cr1uj8920qc/7pOBbKD4xjpyiLHnyp9t7NtDmSgdQzzONrRWuIsIGjas7C9MxuvSccazagft9o6is3LNIeFgVdb5KfvRn6YoOoIfdulPQh0VIVi3o81wD7bHfx/os+5zoP5+EhLrEqKtweXDAd8vPuiWe3rSeweccP1/bQfbe05AFcOGV5DaXcef8Qsfn2YYD5x7oIAGdai1YXiXcqXwwitL7StfH56WTrkjq07THSnUyvVxHlAN7HAuuNyf05+yfuS/FTjNDxfcjlq9YnPtYX4rYnsqtn6JYrRke3yYtmStmL+V7jWVKmX8+d+OxNHKcFXvE751zREiOGxlXbS6kqGydQzJPlGwCU1I7sMqOThR4BRiaX7dlvB0wMe6s6yI5TxtF/1drf0P/3pQqWZLrvJO6eVw8T7SR6Ost571dnT/C9GGI/RaT6joquElD8/fKSMt5892ExLTDyw2OrOjPSDU9cLNpfhrBRa/25JGFK1WiEGKeemyQxQgylUAYwyYyMisinLUBuRCg2bNYFuNgwTKAsjxu0NMgILSJmGnaAOa6TGjA58x0H5KEATzCpTz+FepG4XYEGOJeYS7EHKvfWelCQpw9IleewPAExtEiZa3cRsCtlM2kkI06+hDxCo94jKsIT8gbBEDP1CvobNSO7wgWj5WqyEtd3jdtcR2wF1WzHnZrCQ3xWK+13flldS8qexhXsqrDW4Kt4WU4WzRWpwAHIbDrdyaBlQDLAsWcfErP0ybOC/U33edqsHRI7ZVsNLDhCUHRNt7hWsKiid5OBQOJShx/fubrbpX1dYfHskLeSyGpmMc6Vvdc0kdsD8IbAKtoQ8BNrD2RX3ieIZlWoRLB/QS4sMdtWItEk9bjEctjOyshvKCf/L7Ez17z8dTNWK0I84yz0zrDr4IxcXCjs4obms/5XuBm47Hj01gF4BT6HOBZvvDM8VcZL5HX+pHbAh92/yfz2te40V7RqJ3CwHPZnDnMIFxuVDEf2rzr5kHldFOdXCIibpjG332DmjwD5jnggHi2Sr5K3tAoUAgbmN26uJGQ55VGELX50MAvZYdFE9bDWLY0qlfgkceyd7fl3c0JwuFsGh1FjHR+8jk/cWNDW7q23NpAR16KG0Uf6d3SooejfP6u6abTb9qo3x07uXlWni5kj0iHTM/tZJHqKOJdqmgr65oC7btYBxghk8hVVRa+R0dHA7hHP0U334mCuXpe9kmfd/BYdYkjKp+JeLiK2i6cQqs78Vam9ZX3IKq81b6NfW+dbhlH/2QGHeWcli/Z90ImMjhbHDCPZVXZtnvLexgHMLZ6O7oxRl6xy4d5B8hUY/FkOykH81bGjBT1R9FDVSpllguZ8CplY3Gd747sHB9YHxCNDIaHGujW2c3Xt3p/h6AD1iVl5S8NM0zr/Bngp6dmbKc1VcZQ1/9CecwAvze0jfUifufl9GJM7tDBzTt3WLfxE93mr+ah8nSdeVQknpq0O1oW1ht+OiomB0P9bRmSmTu9N+jxGz7pbdL1wuXoIcvpOOSLusVZZl0LwNXZCUoYcOPybDVvj8JYi3MPsxtZKt9lvpDgUL+3tGhIqct2pwEkuWE3T/m0pCu+b1m7CE0bozvG2C4h79vIN0FX2sljF8nnE841rrvCicfuTsIyqN8FhIpi1Zzc/eZ5xtmrOp1cN4MGZUpdd0vfnhiQr5Q+DLHfYBovx3kkcXXvHyZWFuen4vGHSaEEJo3HveGxkAkgIwjfbQE9Tk455FhHEb9MggnRZOcxwxrLQpTb4+U4Cd3LFMRfwUP50yEyhp84igpzJ2DFiIXoSbmiLguBm5URbOcQj94KEa2ShXLLY+nxSScjG33/Qt36kDPizKNYZl++xiKeBwUouHPWNtAs2vV8L25cMSNWJSA8XuKzivnwERTlJjiCDd5Q2cO1vRPUcdd1nJr0iY++Nlx1yOqLx4kwbgSYUvzA6F37hHEbs398gxKe25G8guNS9I83AqISfRNzLHjdxjvO/XFMgQ/wcU+zF/WoPyunDxW/x5D6aeVp1oZ9f4x1J+QLlYPIvXS84KB+GGcUa4jGovfepwwH7ydUEd7sT8dIYzt8Xqz+D0fRQEQ7bg7oPLXA6aht5DyWkX0YLTtgTBC+isjrOl5H0Dg24emr0Zw45t58mDuVcOVZfX7PMRG8x3sBCwqy0aBj0WSf38WcrhQE9y6FvlsK+4z8pbwPiyp8SForbGQNR+1igzH6ko70tnxOA2VGg8rqZ2yfho6c9FJOPNELW20uQn/7/FRJJwr490kigrF3fj4+Tb5t88babnOwSzAluqPpwxrAPrSC805XjFa2/h5gWHWc+WQDg/8SeZP3IY5lsT75PmD/XtAHN0rh8eTUF6hQO/zJYxWiuofOk4ut362quW7C2NrAfT4feiR+QS/TPevM90zeOTTQy6sor8tNG6W5P+nxsA1dYtKV41kwCBv/7KqsvLEJXsClU66tiPHhqk6WE3iq4fxCvoogcCwKNFi+xLtdh5Vx2CNEKijQlSVvArym2YPalN4L8FhetyXA3KaA12RfsYIFbxwq8jrkeMhJswuHIYVhrzbGg4G8ab+XCwaX/fz/SCIhkhmeOS/jaLIumurqeMqu7k0U7i0DL8tjN6Ip09UJ1TqxZwf0RWWQNXkrXJ/QXIuDsBXwAJofDAsgF4RTAhBn4y0CMIH2hhMpqvbbs3CagU75heRf5AfEp/hEJnyHetnuVK1gkKmec0JnQZoH5dwNY86EC8Deoa1FvuRwOkaW6xpY7DhsZVx+aPqAjQiR/kc52fEAPoK4RsAFz1PCb1CbDb7kcoyz40cO25Vj4zaBc7KdBiQiQd+zPZ3qqN0z76pv0b2IOkb0x/ol65YS8b46fjjxKezDkfO/OVUG/8QzizmzSxvnkyT/FHOEDWDJueMF5Lxx0jo/fQ1OVSpxGJOOkVNiChIQWX2glmmsE9EE8Ez4yrwyLLZr4VKc6Ia4WrHBD+h7KlDg0dKIuSZ2kdWTNneBFZjX9/8exbTksibjggNtKlO0sb0v1N7hPEMHZ8tja6dqMuoNyEeZlgrMYaJFOJ7niXlWMczhY/YlOuUMk2dHbJdAG4YR/hH3ipXyi/j7an+rlelTh0B+nls4LyyvvW745/bEyqJIMMhC/6WoWMNpwlPfg9WF+912tzIF9DfnH3Xbbt8ni/x5l78jvzz/oK/CyUmhSpK9An1GgJLHHp9X9Mk+i70r/13JA13bqj6p6N8OZ1zz1TTU5dhQ5tH2x/eePgyx32IiQtwpE10KTKj07p3M6y0Kt0hNJDuiRvU+sx6yR+dkeNY+VKxT4UKo7BYqE+yKiJUISoreCIzuRkrlXbAkg4jE/sR7CBinaqPTP5UIvwktUC4J3BqfJeEM+1bhMQuiEr9X41YZba/GGL3SGBY+7zx/fQO/qKJMlDFsOAIgU4z7zQcRVKQvPbuLObyjDUFh4TEMQExYqvFLz0Il/e92o+YtiqgJa5VAfmfgqjpZZy6PctH0rPJ+PF8wvSvygLE+5UsRikTvdrCRlrFRg4UtpFskLMvLOO/gNThChvFN4vVW4ed0eK6NHliGfVU356ucFwwX5gdpU0riu3JToqKDkp9VG1wlWjt6iBH0Q9pjG0NdGyHW2zHflx6kw9rKhFWcNuw8T9NcQHwG5aPvivk3a5cN8KmpTmOnV72NRyX0d/PhIjk9cFKRjYpYv0DelHDDlfGsxnMzx7fjP/tNZdSbiwWsO8fE7iLZ031D+I776yIiHpXWy/bTM6ant4xEDGrHqwvZszL+Vrjdqxzyvqe3704xlos2W7GbfGK72TIo31vkhZ/l9J5zotEfRWg+XMwNpXWHhpYIHMsUG1KdoL7hnSISHHZT6k4a0VXmcl4/2eW4ibS9JojpuPb5W5rZrTN8j+U72RLr2vCCSg9bsK47inXAE/XCCHsjdbrj8/y9JkTdvNjBv8t7orPODmD/alX0RH7W258Y47Y9b6DhncFswRw571VCmNDG3RVEIiKVY9pZ70XFG/14+0xutIkjVu3ZHfpPUa9eXHH9aayD9zJIBzJd4tZ1AiaLuYOzLr2sSCZjoxNkckAQ/I3lNOJZ6QBfIzVyzdPlrKxez7fKIRnvOL7LO6s82/nI9GWnu3GeCkal31nR6tSzLxlP19tAj9vwyiEwf6DesM+IuoaVg73e9ijmHf38Qp3lLSnMHX8In5XcRXvW4fS1pyp/Mj/h0Oq1Lb0d2/d1oR0Sby9/55SFL07PyFM439+7/q6+Z1NFA76ndXKVPgyx32DSISGqSkRuCVi4AR8I9UaZjhVLvXnlHmbI+Cgj3vc64YQ7q1zQykS9PDqjwNmV+JepwqIByfoHlEo0ioa7FAj14Kk33zvDtAg/i2owBVolRamaMHn8RMK9gLENwJBYATZ80DAyha/AJBTaM3euhzaKKo6peQVOoQAF68GehjDuA/FUwAsj+4bE8XWB5cRPLY8JdMFQtMbRDdGPibrdbzsjISuvzOD5OWFhJGtaR1bXy/nu+DwjnlgZKOoadI+kDhH9HIWM8bKUgSiUAB4KQtrsm8PmXFAwFh6D1g/CKw11cMTmaHDhtm4VacPZ18cS0TzKGAVKgOUGlpHhCRQJipnA/IFjhwNOYnDAO0qLPJBahQKjrdi7GO+NlfjdPeZxnQnkszqDcCXZ8Er0NcA78ljFRhlcdZoaaB82zdbxcRa0Y5tEZsQ+5hUbB/F1vDaHxDeLbPxDu807f8BvmdGugLM+NK3tLjIA+5Np9HIaUZiPpAAE+ne24XiNtMciNUOdo6hz1recnvKa9J/cBvQKBlqS5hiuqQnHo8JpTQeDZNF/oX2P00scHXAcT2jvUBFFpx/j60Pk+KwRV6yD77d90H2rtv6pD7yrYN2xgD0OkeNzvANaBE6bmDiGu9E5ElUWzWAdIx3FxN8ltsMjWHX1jTwUTiaZa9KONdZ1UoZSG2xNep1D0lxBvmCnYHBkNDq9eQQIOoipiH6m/EU70xzj19V9riQHiMyxmuOQ4BEdrzacMBJ29aecR0If0M8igsZZdDY4HU0mEI4W4HUmROMtj8GzssZ78PQaLmewAMZqWP5e0YykZDK/LsatfF69G00+ew3RFTjXU8LodaD5yPuSTIO8yb8a4VnPLp0FPtLZxw85eVwR3ZTu94VTZUJi3esxnAe0RwAzHkXCI/3OdTTzPTRGmmCZxhjbneBy4jW/HBqelQawlyiDOUdA2a/gzdSw8rvTumZtJY/+Ko+tqYemZ93x7Q57DD/Fwl60xlYpxhNkh7AhrvQe5IUKF4yWbBPCBjrocgLQu6BDFHokf2fd8Hw4vF1pb0NQnlGXU9I05HJ3jpVsab9mWbWCKbLoKfXNPQPchmeA/JVedXWwczjPA/zdtYXTMBxG0N9t7H2/B2CUd0rSmsf+7ZzCyislvB2jfsf1IjyBMgPGTtfKr/YnunTpkCuxv7v5vTIDT6A9NJv0qHfy8anx1DWQuTv6YnIYyE/ejovp2xr7NZ70tZ5LlEXscTHv0zJFWdLLTUD2Af2CeOmEGXCAuvwxlwv8ifYjjf7aI4tkNUPZbIPvl8Ca8bkL8wD3NVKi+Y30tts7MT1tsF6L8Azm7DvVhpdhnw2ZewMaxlONOVDewJugDdjmUl5QaIPKctx6xDFAfuc0ZsLwPdmHnGsPqzP8qQP1dcFB5/iIYNGGjoaHdsU5nBwk9qQGaGgdhV4FAVVrH68Ua2lDsQdeBnJtyvA8G7RvkXDiuoYkGOX36jfi0MlB+L2iQRzZXckPlhfGNNgUGn5afq/w2dHgq/lS0fCOBnDdjSyyr67IBH225uwNuegrpyvx9yP9SNMzHpsp4X2q9vuyQvpsYdePw5ECCfbN+m8IYwyz3BBSyUxHasH7hKGxDOW3jX1+lwVCY8j3mnDn6K32PRKbtt/h03DzfqZjmlGAwfcEFzd4Lz25iz69ncgIvKvjMo2x/qrXbxmHAOCJvF8K50abeVyD8LMpW/V1mheMTiEkdl6bpWB+lVDJrhh2qiSWbXHY1nmBP2bF+uaxw+U7Tjsj7PxdKZzrO/11qRn39nSCCh7SDUqlcVoB18qJp8QHXpHSeSexEfap9Ss350VV55Mw0AiYnCqq8iplXyxFOx/1fzctpX1EZ58JPzlrVMLyTungvFL00a4P7wjjgOdb5o3hkNbaDsZtGQXgH/Sc6TK9E3lyTu74vyXsG/veRlaPlo7fQudOWWtndZR0lUzJwnZ1Y3Hn+dfUzxqF/ovkek5vxX8ntpFC3jl+PZMqOZlhp/dfc2x+1hPqh289FektiWTwW/PpcZOWcCIj7Dbd1VFIn7rScbYRqqy/XaR1b7k8vz4mr9ndwbjVI0Vuyd2dcaL6W3VHuZHzVDqqGRdi/W+fx+08pD2GMI/ek46LtDrH7Xzfx2bjHZ0cU5DldhaDWjevDGaXeZp3aAwo7zcc9Id1jlW+ldE3ONYbzZUy+d6T6slU7AmF9Ux823Qt3CfzvCX8Dl4sw/MrzTnVMN+7PcAdvC7t3/Uv76yJN8lPO32I5jcbYbFe3ntJAQrwrDW2dvh36+ItutiNVOmIz+4tXY3F5b4jfPf9DeRdvH/T6P2VjLCVi4v6v4YecJn/Ttnvc1+0StbnnRz2Jfh9advujpvxnjt1tnLMpsh7yA13xecfsr9/4PQREftNpkrijEoBeyyLyOkhgAroC4bA9VWtu0F7Qco9mM0zlxZwdYRBiEDQlQ+9L0wBfPDGgBk1DkVnYK/79Fqa5R9D9HEKhY/vzszLuykqmGlDtMFt3Z8GuE7vYovgZe9JNwYcmqO+XrPAyseHls8hVUq7Rf4iHuUGbKgnK8yn1/KY91nGMgp8AMc5HLU4M3hENt6R1m2Q45yuhOVug6PIGy5OZ2ESvI0x+s9wHuZ2Dfmj53W889OPj6QNgeBBv7uj0BTCWcai97oN+HI2zDHEo05SvyRjH8EYNLZNpeEO3Eaox40iu6N22wBdOJtyjOvvsHul8U4qulvLcR+T9mFdO8YNpwuUnrKqkjYMzYMeo2bnva/ucU/3joW7xibcEFGNz6upbpH/xT2pHPHia8/olMhapxbNP2lSUAQMn+l16u1zxWH9DhtSsy2+TmDdbw3IYrwE6rDTC4BG2Nqw+6n1Nd6POkQg4ruhjaAg+TubNyoZz8CX1u/zftw1bay8e8gKwaL1NoTH2xrIuC5aGWjZjND1+2gPkQfxaue9foE6tkUXbHsGd7auY3NrestpvBC/KVJ1PH+mTzOvjbvdOcTjIBLuk1V7Z5HnPLazTTLmndOFwfvxyfjcmc/oh9PuMfIaU1h3XXS+IE3W0M7xAuM0Yp6UVLwxLhcc68YvGzO8l1xU5skRIvJSHClFEYtVne6VDTz76jgtvvtr8beR5K3K+Ix1dnf0lFc4wLh7H0Df8B1W8YQWKluktBYVsrPMorDOQW5wmj/H5sQv94HjMiJdSe8ZZ8vHkXfM83nMTX5IfUfl7LvC+CdhIeLuj7CdhW7hci7ffUk4nc92DP0jicjZxy+NLCHNnBIpdUl+V/EG5xnVeCFOTYpObOK6oq9fjpKpwNuJGxa5qJLkMIt67RExxm5yScyfaNgN42lJK43mGz0YRZ5NvXZaydKxqFJd48THN24jb5O8FsdmOTotXmoGmNKBbJYPY8L0ZcTfga7OB3zKSrmRR7IzyqK7u4r9ruo0CLrotuWFU70sSpPrKo09RR9WuIT3DV+KEW4j6IvnixHzNmtya2iiU6RwPwPv4sQxudoz2tFt1ClZhsNSzJNK3XLE+bnqWPKw6Tbrmfo6rI47TffuccI+xvXcyFahfVrPCeaf41gnSuiQSJ9N/2xp48zf8YRi3deADJ91koufYuf0cI1jFVkvImuPoutL7dty1h+/49HJ/hx1iq5N0Ge4jirZJ+hGRteKfN2ctPF2mmHXAVVOmCHPWOu4ksmgTL9fKIuncT1WFzzGNaD2kseEx2lzRQ5HkKI8rUfMW/EQ+2R+m05dg7aUejjhJTQWQc8hPJCfen+qrjtjx6oonAgk5/w0Lcyz2VwbuN8xQrtK3m14oQzeJeI9q+0j5tmtEXge9peZPzVzkr93R7tvy9LvNM8JP7xDNaWK7vA6DxsylIfb1NGxu2kHl9MQCfubge5skKjWAsz3snwjfzA+ntfgYTmlMang7XgP0Et/tFvXFS1SgWj2isB8v+nDEPutJjAWiNBE3HkxT+PltXeac4Rc9YUCERKdB79gaF+3FEIzGY0Uj81ixRgYoh0ve+aTbZ2rcoS16lWZQuZLxt+NGrSgS0KIDNcEueJorxavTZ8n5dAMi5VydjO5EUDgCFsQnJ5JaLysjpcIxi6Jc+1KiLqTfKOe544JhkX++n4oWRurnhnwmgr7gN/LaDD2jMTxGcuosWHsO1iuGGM7+Iihu33JPBkE6TS1gJFXc3oZ6PIa6Tb1/DsdgdoKKB3+QXhb+LQJ5UyanxlPqG62kevYVYWKtdXTKcnhmM4BbbA1aj/JQIFKY9ws0jDPeH0G+i0qQvPM8I11icjjPFZ7eYNWDafm2VrUCCcbnM88axNl4bI+iU9a22XhEpwkxpBRdHridbh+sO+paDY8J9Btv6RNM1szhDPmORVBA8z1FHzqQujFcv6sG0OYe0lxLWicP694Gz6DcTrpN5QDXhTIJM63AWOLm9H2DI5Qu0yssOIrHBOhsWEwxUb5elnDx3d27PCqWzMMyOv3CNsRagn3zI8r3NDo6Y5XKts7XsOGCNCju0fKlkdsE9ztvT8Mr9qQ5bX21tTROF+/4Lg1J3dS9Kv1IAUN4sT8JsgkkueLLLrutJPW25Y+AI1tNzrCWiC5i+ivw8IN8jkud0+S+UibpNofOUypNVpcVfEGo3hneOjz18f23nEWKusiI1qbeF12a13uz9dAS102g/UE8NxproI91+6WjjepdPJlOrBrA/NEFeErOVD2snzJCMtsWJt56G2lsQRaUxpFRpQRMVV601mWMncyeQK46k56xmZ/hVOlU9zJ276v8ryF3+nqYx47dixs+/Yq2XgRjmEMO7kS8lbrobpqKjw7KcKSDXSt0RSFtJNzi7QzkHbvv2Tcz0x3EOufJRpBPNvWfaBTvo8zzU4oo9K8Rr2t1bUk5kn7GkL95jhf07BU165MyGM0G55De5LBFPDxd9ClQ0TqOSzePl7HW2M7J8Nlo1us8iM9d4fuCUBv1u9yXJ01vniGfYV+BXxJ3jX98BZIXNcAK9NxCWObTk0s+tlVr4Jm4B6Rg8V2VOui0lm47ZLXwKWMcKOzno2YZKfd8uqat6RK75ACvx26SM+kkaGoX50X2HMeJ6yv627CvXT2qerEOjq+XqU0HwvZ7wrnYn5t62vyPi2r3pXPr+ro1tMPlD4Msd9k0ixUcaRol9AIy2nUPwYKOhWjSXBMquC8TAGkFfz8iIZKGZxKM3syJ88sAcJvjPQ1vnfY3REQTCAPpIh1meAZDIQ6eFht6jG82iOtGqVZUXLkPoNnC075mDIVwsdUXNDzDN+5QA7MLBmjHtIaJDFaSoeEKLp0aT0Lo8jEYOw5IjQahGMbOu9kpaHXIevuvVlHiJbFdTPGecfr7J/HC/QhCXMssHdehZcJFEwRWQb0oDFT+8b6xOepT+YGSyWEu+F+LGGdEzpHsJFnbYqfmKLQURlhdch5Z3DwQoz9INSGy82AO44LSt7ITRvRAC8i7bHDwYBYRNvtNsTPMnSHq9HRY0b+meI0jSemDKw1dfYfG6oqWsQeu2k9MYKWx5Sxox+D6m4PBBmMqQ4vA2uVb4A32GBpbTV+AQKbfX9AxEpS2Jrk61hz36EgvTyjR/k+0TFrQ8Azrg1W+PLm5aTRD6O3NT/McFT0KOo3ozjfv474hPpjfxwNj2Z6xknHvPsbeGygnzSPQ7SW/X4Zqw8fJMBb9rQ2zw6tjLBJER/9Jm6pdFWRUxuevgpKMlas9i1547byZW3CiH+AEaLrtSgDm3doML0TtVVGgoE8hzBKJwDiqz4vMYJjzgW88wnxOZ0z6j7h/PwuOiCe/JedRVJqaMkl34IprXk6xaw03wIt7NrG+PpcH/FZMUfPxywsID40HyqaqvE9RqN9pBuJIkl3jmhVFBjTPj4VCOWH8LxKaNCy78kDX9fJRpzwapimzlPOGUtuEFg/4eQba2vEq3LiDRthKuWpBUaj0iYQ0wnBdadB/jDcgzyy0+2Jl7FjROJ9FQh0xgM5K6RqCcPpDqEPj8WM0wk8CGNzGhQ7c/q959a+q4RtcJyK+UDtQ3p129BhexMgm7b7HJBQTghOXE3eZ6hdyy+gTwY/H0U+xFVk6eXIF3B+c7tvjJXrU0V9qJNGhCpA+/panXIHD8vuUvd6LJmQ29T18fkjA6x0bh2Sj1zf8MWhcgY0oFNUkz1Fu2Ly+bDozngp3rNzfVUXO7BX7w0nGfH3Ae2QZhi5/5s8Bic6iui9+VzRFZiPJb1x3inC68m/suy3W6cXMqKIxL1Re8W0Fh13N/QoVVHIbkxvyzVgMl3Dc9IdzU09WLzatwsPJP42PTjkqdQkHg/kmZL5bzf+yamgCEyw04PC+gM6zLRWH4M6AZrg/Q+8tpATKjp3FSRx9hUikrJP/KTfZ0iZb+TpilZ78Zu0uzc2lGe6IBJ07ViwQuwezqG8rvcJxh056KLeMt8FH01livW0LUK6cah7k0r53N+t+RvGXqnfnIbcbeDXSx+G2G8wJSFtKqIe8UD5nMhXkbKs95pCKpoFM2c0LAWO+nvAuZPwrOJNnoCg+mZWhL9wXcx6JKaFm3BetrgbB4Wuypi5i+LrNgWCF4usZ2YsOX9Lq3Aw0QnemiJRYGBh0xTEAGcSKUAqKYE2H+goYR3G7NU3v3HjD4WUSvDUVzsWEvAIAuH6PqzNI9bBAm8+jvVcD+OTnoZPFqgAPzOiYpsXMtHgZvNPH+s4VN5YZSHtNNqe4/36na5jdCkl4/iI3+NLSQKYt8e/WyMPEOSKOlXWsZUShWU2jnt72Cgu8bcLvZtlnea4LDwqwYY3ypfirjJ4wz4JynH8djifBhxSOXkjCZ0MDC8+9s4U3RAFJWHeB5hMc3A9X9zXdh55vo6JDjTsRYIRxY2xuPngckoRxRxoo/icrxQutTyshKjhNXNpaN40iBRCFvSD122bswDgceg6wloWDCdlxbrButgQEIysAn0qNoeg+itnCVsvulc+vE40VFHf27HB3pdN9DMaIX3uvYgfU4r8RIeIfj4/H59k9Q8YZ3DNn0cg58hhPDJy0eVZx0PCnX5sKB+qcjz68qEPeSmQ3KPwzJTSx0GDBm1HHKxvj8dy0rFNEhWJvBrqjP2w4Ac0Yd0kA6MUPIHm7NaIaUXQ+SY5UAChA7glD0GZijzNU1SxgFw1Ypkh55HmYXNOJM3tCt+Aa0X+Zj/yUcRq86ijm0POdQBzvHKUwwg1bhfiVjp9oLxifQkkS7h/NQ7LZaJ5XCrmw7eEYkK6bOPPMhY86+rebj4ATxu6rn+4lQbgQg6gPvcew2kgyqcfaZPGEN3tQhdrpTrVpJUPKtBXet00toqIpHtm+KoQEZAFIBqhhU247mQo1EMmj8S1GnXCtVg7Osy0A3ENxlXYsM38Xv15OnGgW5u79l8l462aeUBsW+RxlXFuqMDJFRpgRb6PfSV7ncHyiIS2ByfSTdsS/RUp5yfLdyU4oLEIx+arO16mgkXjyMBUOdAxflepk88RXtI3b6SRjO40Hwo8QtWhXSpBj2IYyNOJxyKfKmUxGMC1P7bkmGTUCUiL4FptI2q68kXe5KCHbcDsF4OBzivc7si795Hb6BAW6FKdOdAhr5Pp0YThckGx3u35bs6sfMx3+nflnGZaMklwcvhCeci+onPIxNeOQ+/0PZTvK7k1OPam9kigvwE/gL9LTntQ1qI+QPx0ysGur8vJj/h6rjIx7lgflsX2YJ8Y/2OVZ+LG/IL1cfteyeOlkVRgTnjZld/qru6IvjVXQyGRYIyVunzpGMDGWIDVnYoRdKCiDU9HPSL+mAfGrUt4HU4ZfGVwpPje5bFHhXNgexITzmcwyDGsWAEUL+WCfFJJelfg0NXhfTnge7XGK3qAZZtU8q7Ej/fvn0qXQhN9YtufqcMSygQ03/w71ykoDzxR71dMH4bYbz1dCFsiMFH9bsJe4EqTN9TFmXkB9zADAcVF2NQT2kT3CpabXsi0iSiHOrUWHj0fPbP6dil5hfvzWrkwZXUHFzfBdh6tfizgWIaXUnmuIhYoWjXVL6ewjuWc9qu0dyt5NJEZKsM7wIHqWuOnICzZ3SfiRJdhlHOBBSzY3A84ed1rTMr5xbhihI9iPShAqaABzhiFG+6433GsZ97SKAX5y2fQn3Z/64kblSn6pk2FkRr7y34zXpXRAvOETRfEk+CUqXmfjMg812CsVzRgHPChEo8/x/KMBpAXT13ZFFFStyFvvBRCodOxc72woSNHEtiXCN/LjSXUthsPVwIT0W6fHzZ9oP8R3kA8MK9keEl5hXdnfrUuCXmSgcGejfUZBGIs7/O1ZlrtZhPQG1wLg3BvFVmEMfF8wEZdp/AznPKoah6Xo8CL24D9bQqq4Yb3kWL1Vv5B9FFgTESWEmMRtlV/4PzCPkB4BtPukPPNidje1YcjrQl/h/XvaHCxYdTR09oTXRI/P9tguAPdvfAiTsc+DYDXLeAB/a/UVFwT1VzzPgX5qWh7uYGX+v2K6DNQwtO+qp4nJEj9/pbiV/CzMo/RJJDZcA5u04hj7PRtg2sp74g8d3IGk7GqjXf6iGE2iZ0QOz4a5qEYb2UZNL7H6yU+0nPpjkFHBOhHaUTqgG/eYd1TX0ipOK0iw4gPc0SPwdrwbM5vcjpsuJWnFjU4lTrgJmHES7VJ1umX+LvbNAz5rugYl28NzP3zylBm8t4dWtiKw9YPyJPvrHdt8L2Y92nMiBfcMTralUALxr7SZYSmqFqCvXMAcxyv1nUU1cpkjolcR5DLC5wqOFXdWxkJ5ELWBy7hQz1BxoO6q4gnxo95zdV8S3rwHRz5fdK79gVxzpwoWgOzjhUrlPMUqRHHkffQrJ/C/ZagLwZ4nROdQj2ETzkH9GJ/7EpuAdhpfiK91KyPsOzb7amxzl/SvQYnl/W17pNtgrVQOqzclOOGntcF1bBZAYD3oXNk0agdPSZa4/LtE3Q57PldrVuQyZNDbPV78pRnxuIZA07asyzbXVea1gGuP2hDcuA6ijFUcf0Sy1tQSBWFeSeKlMvcTW5ApXG7VRb3IeH0EX7H+bs8nT7qeNk7AXntyqjbJaxjI9uG+jt5BN8V87c1vHdyQ1X3M3hdPX8GDifWiRueIkLzo6h4zYcb9X4P6cMQ+w2mIPCFo0hOqh2EngOiZV/x+LwJ5DFkvBybRRJfoPLM3ncpocHXmP7myBKv46UwLlfeb035QCRRsNTTMBXyGmMHAYc3MjnKyvHcGGBxMzox0unlPUbh+QptM2FJX8csV4yF1wMCo4hUxiZv70SsFCaAsIUNwaCcnO8scorboK/nGKDRMyiRdAxYUrQU+m2chkSLnmUjdml09j7Us66J86lUxD4PhiFrr7XRo4d6LlEdHekKLPTB0Hmk6WyXH3+iEuoORhuFPnqMfKy2SBSgpsI5RJeX46HyUDk3ea08OW8c8+jIUUSMuceer4mzTwdkPeDIXTPM6BjyeFE3hoT5szsCqnie7kPgPEEgEmEPdc4X+vvV6OWck0Af2BjrYzGIxs62pwQb7ENFxqdD0PnhgcIzCkcmVJKQhXQJhc9qAy+tW1llRc7yRicN7vF5rpUZuT0OdaG/3YgFOpLXwvD+YrpUKbeckmMM0TKsUx/Wz4sOjhcJa8o/ZdG25aQw2zcrQ77wMPZYCILhd+yWBceO4YGofKMRVhYNgwgPnSjsGNYDj04CHNAjNiTrC5F5TCzRz/lufJJMW8eiVyIij+8WHB0ih8wjWy0P8ljDfQyRz7l9WBcbUB3eWH0fNnMJr9bwjXlsrR8icmigiWkOF3xNmjyBd8hqV7mZBP0UjtSdfeI/Hjr78nx0jBX91SmT7intd9hnnhEiV7tEvBDbZn2C0QLoBGb94xudI8KrouscNkf6aixblXGUqex4kbMPR+6nqv2Vc9btTQii28Fj2p7xUePWhmIYSscmqGM1Iv5ejhBZfm4375EW8Huuq+iKNBdxTWDZUCbDSfUAbwj9IDDWKuF0gI/0xsSneGB6jFq22Y0hR3T4qU3FuxanWbTYHIy6Fsp+wz/9OZ5ikiJN4F3AX9a6RYdLigYLNJxxSuuP6C6tsbBBSmVmhl7PRryb5IaDTdejjmY66vliFWI6sjM+GU5DDB7AYPpd8QXCN0TnAH+u9NhgLARYxqsr+cnwTfgH/kX1kWNqwoE3xK2PH7EswyiPRK5OYuByeN3NnWMfK1mRxjVFpGvMK0JyHMItxqZylC2NtVgt8YBdW0xcSI52IvHajFlHOJ1qJ2d0dZN8wmtia7TZ0cLdu8rZRIp5A3zU85tearK7yZRGz5CW4QksRNdCH5ITXkW3lXBN+Bs9hgjN5LSo3N5NgvkVhlHXO4EotkTvL4ywpRzFso9QG5Ac2BoFebpsxiCcEQ+anymCkVLqf5bNgF5Vp/5VEX/hlMFuQECuu5oHvCfLMOJxphrGjddauQZ1jaHLqwJ4Fbh1ziR7Oejk6zsdIuw/Wj2p321ZkewA9Zxlo6yS0CG90+fly8SzCYCI/QunTML7UH/VTpadWJY/imcUWFDhdhaI9CbpbTBWbfRnQedbmYTqC7pRWJ/lWURhLZS4SBzLoHsjCKPjSOB2649/E/1qZSFqU8AReV8h51Q4lWNFPJTxSjqlwYV2hHGH9iSHbHr/Y0gfhthvMG03Mg6V0WxKlOX8XgXdC37P4gEpED8gYryB1wPoo36r8siwknFgkACzURTw+/bIloAPwDUC0RxDG2Dsur6rY5OnSwO7qyW8Nj5XwOJnK6xUCQn6Y+HVbhLeaF8Q0Ju6WSB7S3rGG06kFn7LdpkQ+AT8deQGCGta1NnNX5rrQ3L7WJGxZ0JrIyoJuvLAPOkU3hw5zVKHPN03ewUYcZX9kXVvSP3G1ElnE50ABaBy8EAjG9+nVc7jtzQH5t/OUIOKS2hDyki8hRwebL23hqUiGgTvuTWlYNGOxAgCzgkmzKdyw5dSeVxTsba5zgxovu+O2e3go7KGz4D+ejGkL4Xgn4wtBR6JR6LAK2PBHU1bGyUiwG/68S00lvFVxP0Cxx1/CbDvrit3jlmVOu+9s15tPHxejglDhdfoip4tcDcF+B3J29kfIyu8VerEJo4S745b7sA3vMAj+jfRobzWu/uA3pK66yesrraMiIRNumfTkMxb8HVFO67q7Og6Fu82K26W93y7Z538G2jj+/Lvn9nUGV7fki5koKv0VPRtl1+IjnaOxS2uBKs7Ihjr998Rt2d1QC8z11EZASVyf5019SRw772UNjLSHpH690539yoLnt7JFK1xAmUirLty9LyhX4VnT0XQPMkVOpkSs1zIPAzvxKOHtXuf8tqm/m7SfskcHEv2C9eUuNNe1jOs3A7ms++uZNjdHgU7jlzKw0ZzimcimTaeho/oRIdG2Na4ckVrQM8K9Vak/M4cnHrjage9Btn8Ela1LkCnNHxb48kFfKYVbXmkwTeXNu5bVu305xv9s90fQ9xszVSytcTnbPQ94/gzcmEuVHrUoEeoz17okLGeWD49v3h2lUoZupJTwxgwMhHeXTzCvm1Vt5CMUeCSTopsfpenBbCMIxeyP+KoG30M3pe6XzFPKryeTgwb5xk6nnTFC6e88L4K0sK53/TvFmXG973SDi9+b1+flUnemnyv4x1hfk+oP5M+DLHfaDLjwTrr2jbj1L0wrwgleg27d5gzsyuuhxxlJIFJRM6jCG3Wz+jYx4vKeNEzynNGfQyKUk0eciq1h7TILF81br5DZXY+VxDQ+RgrHeJ3u/imZ6FYlxEGuuBb+w0/9zjqlEE7RpGfz3HGNkWhScQ8SxEvZ/IbD3C/w6Zo324jzB+TgORevlWfBnjLIKOvQ47X2YaXKG04/qrLCFIpHEM84szwCHxWgXFa/7gnuykc851HHUE/yakQ7QwHecNclndhUvxE9LEiRkN7J2yfC4aHrip6pwRZ84OcF8zLNHiR81qHKPcKp9BPAnOPjiryKFhZfc5385TRe6wEwPx2WNAer5NpjymwTWRsWLuf1gAMFT8eMqRjzZEB48uwYiVVVD9UBGV9rkBf5ug2WEt0BOxqAMCk+2yre0XODYulPA1VkZeCCGETMPr5oPYTWo8D5sJEBKNUdYi8/hzQvqmoYfvcA5NoLC5wV1IRzyE5GhDmFiq1Ola/VI4alu/xc/M3RB3UG3UEA+cvtN3LfspriPvUI0pwjCNJjPgjPibMYmajJRCpkhTYV3EnGYuwN16tQ2Bjy+YwIzPH9rMk3pXvsMH5HXEJEaiPmD/NgRmNjw5aZbQc9mG1lnFsJX4PPN7qxu9KOPuzc34PjUdLo3OC1X1GywMfhd/sTBU2uxBnmRttM7qpPJq+Wuv4jOjF5fGSssbo8Unz8wFrugVQ4MHzCjfMYH0PVY/oRxmwhC+2lkfoe4PlsGnuBtzwHa99kXRccJIbWabAo7pwrRe4pzyT75epkZsQ92pNJjBAD1abIs8Im6OEMxu+yjoNH247toVw27Csj0QpbOgeMaJEROL99p1RltZL3Myp5a6Q3mI4vyqiec7immg3sip64+VzpeU9rgBn6zTsP3o8ULZ0gwjJG3HNY/59e1KdnKfow8qpaOf0kfhKxV/p+UmK1vHDzGNFgL+XpxcQCwX5B/WerLcV+ANOSI8T/uhcWL0XCbTwfAB5jZ92js9ohDNexscdA75lquRF6ht8dmnYYlbKvGojX5g+v/ZHxsrHaDdzdGe4KJ2gKMrL8wwY46Kert5qrLMhf+zfwz7btYF1naaB+2K1MxL9HrJOucLHx8prpx4NOsVm6QfGjJdMFGQ3lpfKNkS+j30Y+knGpCsS5844b6t09DreX9IuKkPyYDJwkTxdOXOEvSGbXxrzOGyQq4ZAOSHYTDMHgCRZE9dt2tNBeLKel/tMkG+dFjVyHsO1o+twfLXqOrmO12M0EtanpWHe4fvY4nI0O+iXPKOTTST/LvkCyZ/efviuBCc4LgRZCOZDxUuaICPnZ8zbsV6mRT7vVOL4XxAZHms0MiLMIt0xxoZrdcCRmMsmWt0554q0fDvWuylv9dC424lhu+Sn0eGJa1UZzbSyHIudPMbvd8+q8hWfuKoLeSPPZdK58V3Iy7QCs4P+v3OCuoyWLeA6rF1+a9+NOfR9pTuHl3ykbzQlAlkp1iDcfXVcsK5wpHL82yaFP5FpYNLwZ/nuRDXc9exgwTfhuqkq5H2im20TvSp72U9giOqNRfdxacsUQlR1tMY2gbBy10NsB6tS4r94p67ycDLQKqvNF3N41z5eA6ao3OoTWBe3GQwaKyXXtYzT8G7Edx1uSWg0mJvjSSojrNeFOL9HenaOcnqGXgK9wt/BmKQbgbFIVRSyyE16RgpUmmNEY1swrDg2igvXe5vulMLZzbJdovVxtbY6Y3q3qXhPYLzOU/Z/0/bAXyoh9OaSuaQ1lUD8ZH1pg+1KcYY6eaOPcVVTOq9oktTrJG+oxXdbB5guUSQWbqBs0y66C8vflEFEJBvK27rl1vxrac0TJHoXuXqZKp0WnBJvlW8UQJYl7flV/V+UTGa9o3jerbvZ6AmgGl6yrWcU3wt+rby2n0l3DA6s/H+kW+ndNyESrSgq+JIo8yKVUQeWdkbk4nF7MhPLZqh7ljSirvJO+to6Zatjl8+uiMZdoWJ+MK8vYUpJQ/hZkFPeS96SPY9f9RWOmm/U996UbkWSIwJvxOXOnCp0tfL9Vd1PyKe38j0kGuzv8NJNnt7IPa7zlE6AI5XfpVs0JewNEU064h8+v7Vn0Mq9QP+u1vaTqXNqwO9Jf+7kVfisT++iMnf6pMBxm/+tfdPIO918K/dpNnAYVij/ZN0Rj1HvLRgcwpPTMmxivbZu+nLhfSWjcr6bqZRppdA3rngTqxAXPL7MR7LuaOb3bVkE1wnSBs7T6YUMBx/dOW3gCr0v0REpfS0d7v6JmVo+3wPfw/xe0pfIDnfLPjsWX7imf0zpIyL2W0yHyng5AhNYnrMjHC+1CHOhtOq6bzNEjVwZKcwT1KJjXqEMH3dg9ZtnHkZqHRKVZY6yLeuWpRjTxhX3hQua866wCi884tKq4ntkwwZxuflHQiHl4TsizmfLc0zGWHeGQlVW93nfaJNmfzDz7w0F635LvAPoGWNtaWSzLgYBqvTO9nkyNwgPlfGyPKuT8MHwrDrzEp3zSoeIzHsLPWrP8wIa1T2WUG9Q9u1OZZzDGH2Zju2Z92rCmqqE4qHi0b9JmDf8HgYjtyd5HOnqq3Bn5og4qohUG7PJoGY4KpAKjmydeUVlRsmo47Hzzl4wNDzXMVb0kClCgBvefydS9Em5QVJN3prOqcDdw5N+Jm/xYmMPvZTTfVEYaejzOwpifheX0TCbjy+QH2hLXLcAY46DPHT1JcxdaKj4KQqPc1F539rHJ5vrQFPpt7VR8dmQyReg32BMg3JgNG2sO4adbhtfAY/54BmKfValEcusxa/+DvsbN2H9fiLqsxOfifr0mgxjDHM2JcJjHS29PoPCesDdoBZNymtdJFcGMFhxc1rMESWoVH5e9Y/AYxfux2cYf4jitY2vcYjIy/R4nLSkurcs8AZqA85rEfH7aAeMQzLC4j3uzEvoruZYMPbDui/5fDZeIs+w6YO0qazT8h9rXle0HuFw1GtIR64T+yM8w+fcPhqzEDmMa93yYHQx038BegZ1eNnXkLU1qIQTEmTRJwdFxxfrZ5FjPBZeTFsNF14DPrbjHFs7hQD55uvKH/rCYIh6BK3xV86T+sKeRxZR98Wk3em+V+T5DYw2imGXcEwP8fueOU+Aac+KPlbE3fMDzyP6265HkcW7fO6JnLJyLBTo8EfaJ+vTQj/URnfbRzsVc79InQ4Z0sUY7iLbnZei7raJHKs2xEKkVDq2r5c30iYp8lTg213a8iSCV57cgXC0kCeKelAOi+VBDm5w3Rogqv5mGEUb+NjYtPk61ie2L+uL8zmXQ1pIY9KdCGLPTA9LiXUpiARP/dRFwoAuuXTmBRT16MphspIBUB+0E54M1h1HYGuDPUsGDYDHJz7sYFd1hzEcsb34LO2pJN1bUmRSSbd2pKySnYvf58Phn+GIZdi30iHx6i8q18LG/PN7uXYr2Yd+B+c714tW3tvOeVDeZMK1V7GuKtHXAuacgmH/hnSalXektnubGxp+ysUoc2Ta3hozKp2J6IS/F6Jd8N6XRbU+8c9xlJxwraF8xWvcaDzAaR0h5p/qhqZWa9PnysKr4zndiYRhjKcedLwacR6xrSp5f8VwryLdBxa1gQjkKbUxlK9OqqGxc7C49+R9EXHiO2orR6JUV5KJFt0O+/G0txRwtKKGL8gAVle6W7aipbCebC2PQ9KpYhWt4KsHqzr8GfQr77s4CNAbLTpXX2XRK4ZpONujZx3+KtqwGT98HnXvYv4y6KqvqnTVjxLbfEnDuU0FvNt8oCu/g1HN9wt46Yj4jp5X7bqg/e0e2g+UPgyx32AKBj8zusJvHXLeE0vHuYbkGzyTyN+KpCJh0uAecho7g1JHdc/JHwQQYrxBqKiIWiWIofDEBMGF0kKIsHdCm34s8BFerPxVBIaFrOPqiATJzDnVk/qjHq9OmUgKj8zjD4X65ksiowviZn3fjgEIYFeb5AvofD1loWX4XGMUs6MgRXN4wmNFAWS7MG+D0lUo0WbAMONBKcB2TKIScuzYRJ/LORNuoPjxpQzHBddRj3Gz/H3cQPgM9zkA07wtiOBcR7g85x1OBrSb59VzhHPlbRs2cop8a3Nt0k6MeguR0Uxb5jw3xWXmMcUVvbj5SOKAJxmj/Rk0zO9KFDi6p0jVMSF47+qpHBR8BHnQzOdKuqx11o5pUBTs0VTwK7ZF9L09amkjlCVS7XQEj2fmTEU9c87qmKKiFvSto2U4nhtSu45iH6mPWTHf8iPmubb26DduNqKSz0bj4zX+Tk4cMO/OfBrXO+Dl9VMKm3GImxnJEdfD3o9YDtHy/o7z3PBrDYRTLAoGCZYzoI7d5rgf2x8qmHNOhss8Vxtzo+ywvM683oQP9QHNjUCPPsMrvhOH6nc6fjfh+Ae8r+UP5xfAc9hYW/LYhu/60c3V+NrvC35idGCr8G5wCGJFxQur9XKnLix3Z3gamLwmy2TPYRNJD1Knb9IAB9nJRPC+udXtI71n+oK7Y1uahqnRja42+Up9cmOwxQ3HcmOvKuPlDKeLMlfrcqarfnGeMuGh7Id8APNkIFKvuQs8dsZYTpWMV/VVyDfFgrQBPopnRds6YyzjnvSBAk6op6nvzIyNedtaKOv1h0vuEmF5UqcwQrhilkIG0M1k3Mkal7Te8C36v3QWG5LlnydTeV+pveuMsG+ocqtDUr5THn1n7kNzq54P+D4LehjBHwwsZfkncLtBTxAvPH40GCylnjv8PNCLgiYvtGpEki5Jc7MywoYyrHsRnEvngi9IuKeU9CzDeSOvBTgNfLHi3VpPCsR6/DgoD/fJwDasOWr0PVTXyOi4N9SmnTza0NlUDuov9ywBFhphK1oX6n2GNNyUG7blDQ/lQcn5uvEeshwrnsGpddwzfn53TZi80xhd03f7jeMjUuqs6X7wG3vzCbcrXKiupw3DX5pwLQWCKyWui4/J/THq6rzKcwX/S3C4m96yNr9y+jDEfoPJNh5FJNwfqmOckVygNFfeRGMK9ecmyVgCvopvACdGfigoy6tOF/QqryiJRGgxYCNQ9iJ6/Q8ol6JcX0SYIQavbosSntIFCzF8Lr1HrCAjtijVYf0qNXFQqb3BuL03ld+wMZAYzRA2ItpRM7ZR7QZDFmIBRtkW1aXYd8aqapOYCTsJJ/oY5Kmr0IZCeSIvMBcQ7dGA/GiwSfM7z9+zyrHK2jx/9Zcg3GrARx/bG+28Tq5PJv6Dn5GAEwTXBFd9w3mQ4Mv33J64LnxKIVGonwFPLFfhO6annkfKWZTkY5yGZzMMvlBZwwvWWMIB1sk6UirjyeVYkaoU//CM6y2iwoM3odKcoPXsd9dohIfRVihcJAUZYA2gJx6VTxNCgX6GPgA6P1RlfFq0k++ULWkq/g6nFkQE3GARcK4I3Ig0w+Z2c6eOR7kKjin1rUqeI6EPoH2+nsGwRHNRxxqDYNi1exBpTURlTRcswHn1E7RxrGe4QZhIPJDHAyO+U6RSXE/K8wv6yfBlPJG3DWhXSkyjrN8nHy7ZCdxnpzLinDdHEYxqHYAjjA1GW6AnupqsY51RkDPHpZgX8f1w/mn1BD6qRbmCroboU8izeIr44Ca+ZU40CnOkahNHCwSnD2iDoaLznlZoX1DKDMxhc56JjaQBZq/1cKd1cXdf2iCk9XZ8HnPMz+c2X8J97kafUP7kcSSFurqb3JA5o/8GlR2RR+GaQBpmxloVCZ7maREQXsDvQx5bh0BzKrob2wpRuNgVAU8ogOMvEuZRclzYyXMwLzvDhoiE0ySEeFyADWtMAHZoF86jQm5xfvgeO58/K4miYS1tN4wOje+BN4pk/ofvyvSit6LpUCZxOcOcbkDuYGeb4OykEZbTnwa//j40zij92mG8dqnLY7TAZKcnp3ha28YnbK2xnGDZnAYSvyHHoShjWCeLmKzVGWctX9CvExIrX0k3RRY9GMs9dqf3DCNFLKvhHN7x3qodBbwS7p2kGd+q/vI9lh3Qzh3es5wIGlWizI55/FnFFxJyI72r5Bqeo1z3miMj4oNwXy3vCGXTd26L1PP06h07za01dWOgK0dwel86B0g13lGWinDgva/Hgl5imyBtjb/jlNNkZCerpEsiXRCQh2F8WX4JtNuqxH2xjl5suj/QBe7HkBFe36gn4cpyi0g8hQbpLs79bm0I0mNu1I0y0swPntsFHR72r+i70O4Cr7h3Utcf9NaOt5G8mfqC5MeSR99IaJQ22tnNfduTuwKPbW/HMCEysx3rHumTb6092m6tni+j/IP30jZVpX0W5x1AW66OB+5OK8G+2skvCX5HkzvDaSfLNXOf6+xOCavgurN5eUpGLB/tH8SfdnJEyVOpDMNhemD5uRyVZzrgz3byZiUj3JVzBPrCYFRtr/gg1tP10Q7HKs/3bSgv0och9ltMcPxw6YVSPQ9e6ufnGQ0qnm+AocyjNJqEAtbojL5Xi1lE8DhVNwCYsXVMHMOGLNVF8M1YZLgtpgrt96gtWccBUlSjisaNH2DMwWOPDDkoMPjmGsA4y0ha/MGQpOv4O65vtUHWMbjzuA+dsEdFXMZ+PPn4C2Yy45h+UjymJFSj8q5D/EiJx8v5LmzkorAzRtwsNqcCXe8R1yQAF8IJK36uBIgEowjiI4cu4UXXOHIqlaViTJPHJdSVjJ2y5mk6pgWFIp9HyOQjHFMIqjG/EuR87Y8ijxmGZz95FOcQMJJqusi+PkpqzRXedEj9ZvOTHVA2yY3sL3O+PPIacIzxucF+TGeVqi6jTzQPKxpWlsVPxMc2rl2JAfrCxh5qRFJshoq+jhjBDPlxQxINltW4oyI2aP1VtCkZrG0+oYKQaHdes/ze4bNhidaPyMyjmeY4Pth+MwzNY4e9G7gNQu1Cw6G9U2hC0RcJnrUd6iujXZvy0Kw1HjTe6b4sewaC+gOcnBg+tiXUFxCCckNi5Dds0ITtmwF/ItlAK0T38O+m8N9FR6BhXl+H8xWfUrD5Uzn2MCycLzwfkFZUxtaBc1GK+lg+qdao4SoLFz9Ov8A7HLnMiqXjr30eq0MnnSF+hnzUYc12jgNkHOcFsUEYob8aCPOB8UW6ajyn4LGGc2hGwacw2taP3IWyaMz1yGqoo1WKoS1n3bPvIHp0tzns68vyFJsN5bJAvuoLThdeV2tpQBnCKWQrTjgpI8+HJMeeNI6NfOfpMU6j3ke6l3iDPLyTsp/LTbaNrHuZpvOrHmNrjA3HogMt0+lszMbXGgi0Afi8r+OqzUhjCx7Y4wvZNjJegAPyUynDM4qmX4FcyH1fGhwMJ5bvid+nExfAoS44Dt1gvN18KDelizGoC8e55rRwV6yQUcs0epwXrD3tw+dP+YZYn3JfF/iNoj1lGdb5C3xwDd12GsB+qk75qOSNQeNejQlM9DRHhiw9Buc6Xklh+Rv5zMG9kV20zibUJ2Ev58lU7q+E98AvQa6OmYDeGe1s6JzlD58N3qFuk9samYmTB01M5+34DvE2OOsdznfXLe/ymoD/zaF/BnYFEOd2hTuPcVenxvelvrdLRN9DoQ3s24n5FtWtIms/kupv1yPQhqPaByI4AR2evxVPLPDEz0YE6lM1jprHeKhcGjMtn0jmH74nLSKlI5RIScPbOb+TVQasdVuP5Kh+6qn1aqoc/J45s+Z2dGpTb3syE6yHciwa+ljpm9v7x68mEa/DZv0gDldpd7JXqrP63SXGD/rQx7WS46r1WrWlWaMl77xBAwzObd6r6csPkj4MsT8lqSRCk1hapGzIqyLBM/5QYWNc9PTTUA/W0Z17HjbscXOG6lkMfT57LCMPL2LfsNvRHI9KW0Xx+M3kKUjAlqHL6lz98UzaepUkBSa+s7KmaCrUXxrJ6KjOyoDZKuz+AOaIe/ENf1cJVKtAFBbKBB7pSfjThRwaoJbBxaj/KYUvoYTQgDZyHwZUHkUeaIuOCCcxiZKpzPXEymTVb6CPIOwUCTnkXA8klCGc9AzqShHuY6S84e4RyUbYgI+tvUHrE+qSIfPeaGtfvViTIfnKe7tKFrVMm79XStct+Acc9yxSzFnKv1vvkJ+VZHyfj2NZNLqEVwgvuFkvIhRtCsK1HX/MbWnmEn7X+T30M8z3MflLiBjewcXqw92wMEfQSFd0iY54R3PsnLquJJhj3xnO7igUP30N2M9i/NB4GMYE+kOH+J3Q625fwGvIOpZXpKRLSfgEBRPr5fnbroNCcGc4XgXAwL5L3qsmKzD+SOsmXfTnuOZwfh1w+gW2xfnl6hBWKg2W8/9DFhIa+1WoWEiA9xVvxE1Ub7uIoHOSDqpbMO+KmnXeoSqBroPhMzhxCM1pxD/Q7/jeI2ULBw0H8Xr2tYLMEugc1+VrhhxLwhwieexVNoMQy/OdPe09Mw09SPfjiq41uKFfSe42hyWaS2U7NI5ty3tl5jEHtY6m0VzzciabIE8p8cntMzyrfIYLz1vcbCudIbR5jrQX37HT1jTKte34SDFND9w28rWbTwGGSLXht93IbSJvOTI94QZ0JBhdUZ+tHPmgrMNE3lzQnCotGl3DrfKH9fvknBzFVN7JO1d5LmVc5tu7rB0tqGT7js69R0LYO4Mw0g7k4QVtZKOuOz6JwgkuRYN2srk0fYr9xuuiOY0M2zTmZ9eGBex6TJMRlniK19HQ9Xrs1zN0Zkg6JY1JckbwNpwPlrMv10efFZ78rGtPkSI+XHDJCttEkainbNvMG+R7XiYSBnSa9TkzdabsyEuwKUUHC8nrpULR1wQKj+KnQNnvgLNMWayTcbiOYoyC7FvUwXVXOqdPl6KBpdHPX+7x3vEfpi/+V8lZBRx3xrlDUxFmhxOtgdbBwH/kcnqI00beSxORrAfTdRKhXptvDzjGOqMU2wF9OkRK+pLa1smomzE9593GyFXx3h3/uzH3S3jhHfE9loHCHKh55A4Nn28SnT4Mpu/NM5BuPo9C5ty0r6XxRZ683zL2/VvxEMYJ53uFJ83xDl6g21v5mOBX7y9kqnZ+XsHelcFyTK9U4tzo+qqQS1Idz6Ybcjvn0WpagPzzQ6cPQ+y3moqIuUQA9XyYPFdss/oxxDcCWbGy34+H2ObNUKZ689MEGLyrdr7346NIeVeZx5zqIlghkhWj7DDPK8DujmShe+3CRuhEuvTw8fxjtWcCuGLYdg8sGwGt7SzEV5utjouc/TZURB5DjgcN7eybcQzxY3b1xLsVNKbQHiKdKyOryOrDIaJDExHeKS7LgE4MHJS9YOAnJeWEcbbHomyGzSOsm7xuw9xjwYSPFrZ+sr6b7Yp9Fht5ZfxMXp0QsR2OupbVB47UNMKMYx4lCX19vA5pGQbi0YyPz/NHP27J8CTYr7Gtjoq1D9YFHlPp0aidsIaezZbVjzbWuGaw3WRwVcMV6jOaM0L/6Fnn6/DN7JAo0hbnIiq73hQc29kf1fHRLKQMVYgOFG8ne8qaMbXcoAh9IykNAeEQ8DjpiUZcWXgakNfqVSDpg4RdiCpxuC/nc50nN4yXol/EysyvMBeCkK1LiNLHuR7GsRwW1pG7w9fe47uZ9zN1juFuP4Hu+YYRethbH/lYn48fn87fx0/WGCUjLfSnGVgTDTFa+LB6V12PKZkdn893j+9EBJ2TgM8kZdPAQF96taA0Lxq/8odphmOCNEXP9qhKmkMGhxWeFE2p8Bzp4iznxh2oP67n8wvSjKHnUbcpAlxkbVB5Hw3H9yxv+Kz1zCdaVEY13qzvNkSTAwfzGOL/TA94E6ZyBjAnhNDOhx29bO01+jbbKeex8uNFEi/0Y6VVaqOmyIpqVfFIt0GR1Z73FfKDkXzRPOa5ayzcQYHKdPicR5mKyAOJ1+qXVB+WEfH7cbnulHhcdeGHp7OUcqHAMyh/tmM+56sqbM15hC6MitNhKKMR7rC+Z7pfJS1ecz/Q2vfHOL/Xzk48BaOAh8bbtU7ms7S5ZwRDt3PiI63UbeZ2ay9mwu9LbkHYrW7QHCXXXvoR1pGQIzHgILCmKlmokJnbI9gL/KoNqIAD1lWcriQCfB3hpnUE7ROgGSSPnRnWGiphF3DT2CBu+Hj0c0QKuah1vC3q2q5Pos0VTSplAOgHNxrepAOsc6d73IPOplRmjnFQHJHI0rM05+Jvk8eWsabYc8A8sh/76t3geQRtQqd15CGop98yBHEaCxe+EoWvInIEChkq6YpVFCzgV9KhZ8MoaTzTno0sR9PdUcMiWY7s6yQ5DMuBLJb2EMZyNmQZg+nlMtrOZzqW3L4aN9scxyyg+pp5Mu8TlPrrLmnddoMRdGTaGwx1N/V1906y80OQvRlFWB9hTTW8AXW7oGNdyF0BTc0kpMrTOY2XvCgUlshnuK6x6GRaj9aHB4CGvkA9FB0+WJ86f48VNY3ruqILVhXmhbqr64v46q5oIM4djMbYE8ZaDwr8AfeaDZ/HEctEZKgctkVWP7Gj98qoKW9Vx9l9RbtQ8mIZTla382lES7+CanzPev5+XQBSQJWs51a2PCmnkT+93GvxetPPPn8rmorZH7GMw2AU8WSV4qQo74urKGjEp5rjO9mp4JM8J9IpBlVdXC+WK3hvmCAia2+g4tvV76KdvOduuw1tNDWPET+HelyWoattguPQD5w+DLHfYuqO5eQJ3hAmFsy2SW02M8eo68U9HqwnbSSqxKNnK/xBKE3RqW4gioupNI7BO+XfgXCpsBK9MtNvqocFzgCjGIdWGLc+6KLJMPIkldV6zGUJjCqUp1KwWOiq8LuZKlxboRzn2JDVHlTSOoeBClwhiEbkQJHqcGd8ObtvKtpEApgpr9R9ZwJGmJyAw3xfGYM5/53UbbbUfXTWlYTd+a46riMpyTs8XXAdKcph5XmicZjCkbQmQEumOyIiL5rn5Y7m2e85phzJUUV24HejN7Ym3Xgv8B5wCLSL+5fonxlPS4EWhaiL+blzPumSH/ueNrQg6stgI76MB35uK5xwBDyuNzhv78Hr8nEXBqMQlqF8KMA2azdtZAv1kdEGgxMqKJ5VievoyozMH6+qCRsLOG7Q5p3ynzYMB73b1Ftuvin8MV5F/RnudCYIPLeHoRXu0vMbi0q82pjq5INebmg2SqdH9CBDBvZ72kxz553ltHEq9VkpCvclQTTG+YCRl21fsud5ddIK3znWbUCIyLUSXJS5+27nIW93ugcefqfujv92zzpjGfHoSzpqZbhPt3VvwAV5qc44dnUwbs3ztdlwAeMjeWJnG0u49m7xyMZRseQvzx41p0BLdijgumH6wHlBvnaa9sbUblZXee7A2aWGpt/KJxL1p6LuSkd+9wTy6N2NrwqvYIRhOVVAr6nqaejMbQNRKnjveOZL3eVqHlYy+Y2EekAnF1i+qs5R1FXVvTXcIy4itT7i+uWkPXPgcPM46JjFpn3aKC6ReMNAs8PDRZ6Udn3seeJ3c5ANOkbh3FvR20Ey4K21vOmX/iSrpg22Pqs5oWts12+Cqyc+Sx8W4XW8m2931kY3h6tn5b4Y4iqUx+dy8Y7KBVpVpRty1rZcUSem1L7mu/LaGiBD3JCvldcnzpWx5m/8jHL/oDKxcRL6PODK6Q10tMvXRl4CjtujYgn+bVmg0jE1zqsqpX1x4F9GmzGvL7+7/KagCeic3upi5Xy9P+nDcfUT6WAjeCt/v5hPlbP31fvyZK6CTj6tv1Ge2zIc43G3r6i+O/O8rBPhhTy1TeJpWvgNpQ9D7DecqmMl3VMHjyrBPKpi0WHDjW1D2Di3jmPU82jUlwvF2IQwvueqI6oHeAwhrhhZpOLeUevuTMBr/g7eOdiMwptoGbZmeRMP3ctX492wDJMFGPMWtcjf13yXYzL2Ik7GPMYJCz2hdAx5vJxRkiGqBe7EYoNGafC2ek34dQE/jil6BBuscN+X1gzV8aL7P3jzNxF7Jrgu5UKZIxpwxovMvlAJxrUqmVEdDG/Wz3i8jrcTx8KMZENkHLWHu4rIA+8vlDiOYbxN8Jkwl9dlZwgfXs4i8FJ06sP6AuFFUK1CAYytNfQYjHmHIh9TmbzSYJ2GekKe1S77Xc41mVHmuBYtOnWMFXFr9MYiv4ac0bEAKxi7IELfnwFtWHcBQsTofP/Y3EUXjnfGstQ/AvPCjOuucz30jIC2ugKdUZ8XR9HvcZ2PWjizumhNeRtQmHWaZP1GVRa8J/SF8xt4hjT/M4475JF9PzO9CBsPszLuH6eRheCcFE0bP8Xfa52FvIhDg3JlZHZ4r9AmW9uWzU5pgH7HNa7j5N8KhWy8xiEecc53Xz4wOpmUwDiHof7HgpM2XWa54CEqC0fH/QG8eqy7eDslp+zDiddhkZUCPGa2ESPO9bHusl55JCjRbCw/P4a3/YzinG3lo4gCX49tT3066Zy+DhlDA93DFBwp6HmkB8W8buaaDJUHz8+HRfwuAqQPimiHqPugTA8JHr/oNY24HJ+JDg2YK96XIPvpCSsdV+t86hzL4/M4N4EwMv515fGytE5D11TGmGING15ndP/MdhB+MxIYPYjDiRBdcn6gjhPC9Q0vHPuB5Wa+JnLb6YHNXezPkm6ffK/cSK1wL5LJqUGmwvyVkwOCDXS3PhLO4eLfBqePNNN4TLrTGyL55ACRNS+HzHedAyM5JSJ96xyb4vUUI+Qx+f8sn+vBsefjh6+cMNxhjOSUdgOuo63h2XKs66LoHBxeoWD6t2JfNGuwiKScJP5WwrXJUQioj7Ryu/+GMlyH89QhpX5TJRz6SUNcliFZs77fbYhFCVUGDtSTUYYKIGzsDJ7AONj4AHthhxOnx7L4e2gb0WhOy9l1hDwo40WEoV0ORFbU7GxrdrRSqZZvRAbRvjGASm0GOI4fRHLqkMVPIYJKJm/d3sHH/Sr9OuP3lcFi8RxowzzJB3974kCIZh+i3vNgxCwv0C+VpG+FPMS/UX9A/ZLxw/w6cp+FdeH9VU1UeF7gw3JqLCdrrO/SrCFhfvPYDcJ5myq6UMhTnpfny1jtxXajfhQMh1g1XvEx4hgE/Zxxregx42/fdyfzjfiuHH/WJRDeiGX1FehL0U+hHSjTUv8MyMfOIxhwk64swbpGU3fRzrBHCbI3ywQ8p8q9raLOVh+DMWGcSl5RrR0l/ofzsJM1mv4OvI7ohvM8EVpvhTPuy3onIk7DQ507Z7yCP1a/+YocvzoGTskM40XG0CqKd5fC1TQFPtt7ZnGcLvoP351Fh6T1U9Sf5orRj4qu4vxq6BPm69babSPv3RToVAO8WBvtceEFiCCXiThPv8Muvq/0rK/qR/oRpfJ+pW0BjcwWnpffLTWz5NywVvgd//BZrG++646rAua7hJ4l+AVCUgm/4QHBd6Hk/ZdhR0zKPghlepgsmFwmM7TfyfdeqaqzMHS1m24d2KshYm/VG0PKY/RujKVUWPo+qfDqlESMhu0V+EIJxvfF9zvpmfx3PaN4A2hXz7P48ob07fxEr5JSjUZZ/gvwNuvf66oGMeJwV0n14oVymtpCytkycPU0Y8tj3lsou5m2fSwSFL97ACMchsup3MSpwN6h20S7Qn54VsFKm4sMd6OA3k0Vba36uVqn27ZflGU4aV0nRTYDeTrq6Q4fGRftupgvAdTNvO+p/JS0YUdvNnyn3Xy7jcwbytxNF/hs5wbLjG+s491S109v7fMv7HfbQOw23Z/BpYTj9bDAKBl3bfJ+pKfTbXp5GcX3toVh+qTrfZURtim3fV85xXWp4jUiNR3c6Vpv1a/eMI9v84fCINPJFik90Z5g2EovCezVhvQ7pe2+QJW6aMaR86zfVcVP1LnF58az3TjaXC0M+X2Zlef8MtYcSrT5fuPYQS+8e0jYwDYDSaxLQl+WTgPvwA9KvnSTJrnRPuh9+D7/DkcPQ/J9NpDX0rjB81XuAseA76ZceAd7fqzX3qnm5vp+Vu9f5Tph+7rOd5HnSJ5Jhlbor20bN3LRWfjL0LQ6rhwd2CE7oXFF34a8qS13HSuwjtvl37wuvr8NjxL/L6m+0NV2e/RMR+Ke/pX8tz7vy5QEu5oTfMQxp8oud+WQ94h/Tydb350l7a4uiUW+ZJ6xSALO1F81fSX16z31OrZL/ZjSR0TsN5jGJHA6hhyfH+fvlwPeKxHe3abTyHnQi6QijNM4mIgnegqy0dc3/Vf+4/NaZF0UWeedly/pjnV4nmF1xrzu5WjvxjijLBmm/zAcJKdx7s7qrHMc6pF159ichc6oQgAKEaRDReze3NUn4uXCb77jg3ER8f5H72RrH3qhh/45RPQB0XIoQA3iKWPWpRq90MeQEF36IANhEQXrUVKf41w0r2hVOaO3oay3zSKNsAtcEIC2UJMF7xEFmAeMm3nQuDcg9rNK7N9Z36NgyFEYn2MOHvABvxHHdbycUT86I5gwWirOeeszgzNC3dj45EVN7QpRdLDWU1Tki/g8P9sB4yZyRgpZRSP3g/Wxr7/Pj3NNWF8UXsgLNvSdiMjL6WcWjFOf5kuIoNMZLTtsYhVCo98x+5LfBa87nAOz4kDDvO8mvFlnUMpk5R+HyOt3xRHJBr45DtB/W/TfsPUHcwAExpM+zcjaOa7BOGu4PaB7Kjrc6by0pvwzrHGgMTO67exGoH90hLThvh4QH5g4H58nXS+jaQqEYSxCdBnODRHiizSfLSsK5go4wpwIeWadfg8l42p3sb5IvG+FxlRE/B7o8y5dwHO+87qQJjaKgns8052lWI4N0ty1lh95yLr7Xdb64HJ33AOJF571xeM1U3SU0TQoz3yu9H7F9SxzLCSWS+20d8SPV/9pmiuoaHp/44kL8MzG2duAy6LJE8Zr0gqM9hiBh6y7tIPCTieSuHcv9B/n8ffYHj6xxfsNxtPvhSe6BzzCI2GJN1VKdXkfENByhBf4wXE+SJ7MGvMlHEXCPfciEqNnfe41hFTWPEhOAjiWL/G306uCjnk+oDfmpT040ofwiA2cvOUBfTTHl8c06gritCvJ1/DOaATPbZTbjd4t3tX340eaqTMeVV3nbH5+oZNlWoPbIfNuZlrjgUbZHWvr6PMIw+SkTUQlr71A3yItSusDDRvUXv4dSASWKXRn7JdwDUzTBtQzqujUy6S5bPWsdQY6QN5sjGvr3vSqfssbf/s6R9lqUNax8mBfo47D8nLrqETyOctYXG+gqcQ7V9Ny/0c5WOIYhTl26hjVCFZjaxEarE+eYJvrkkTCyWXh/RRQTp6d19fVRuSA7qxpgy79PBS09x3g+RpPpcL88B7LBDkD8rKM5Z8UZd629zHHyHRCS0h/ZIh2kfllVI6ufp9tC3IN0juSAfF+eU7ukE008Zw7mRZlAMPzh8c01q4DCsjQhqut56KaSg+q+EtJB0SmbAR4ypKZgxzcpI7/o5xX6hYmt1RHmXZ0k9s1YrvCujHaZmP8OPeZWLfFvL7nVJwu5WgDLUrrzsp7n0bc237EemXf39bQEF2G61MkrHGdS7LiFaG/rC8PzDpW3kFtYN5x1UZMIOMorQ/eB7AThPwuZnjna/axYOz2B+7g5HPA+nf0cKt52q1Tq2PJ10gAAJ7CxIE5fOITr60J+DymPmG0THL0YlyT6muwRPVVvK54yuUVE4O6+FUVHRvkjhPvqLNGuBFJ8RO0cG9GZOEeynV8EuSmBF+pH5kuoDzFsNPYEg4dLTHZK8glhNsTc/oOjCTrcN0oD3CeakpQf5zzUbxPfwxG2Y+I2G817SaPTzy9JZiF9OSMcEHJBbRYJ3rz2e+sFBSMYJeYQY71WTHR2nhaPRuxT+h3aKeBL4RaNGTis9texQRzCRza5kkgKhyLKMRSKGdhexrkOs847hOEg/W0SjTjA1F4yyh4Pk+b/4YT/O2EHWyfCfgJ/0F9xgwK8a68b4GBeR6hZ0X7d/iawOt4NGOB9aW+obQbFzPCWv+fhg0crD3eC39a79voS4lHDIu4McDTY6SjwxEubg4izqdhcYQ6sC0ccX8ez1m8wzxhLll9cUxZcQ/rS2I+f3dBg8N8RWGJcGo3IUBwu1qT75Jwo/IhmUYzDru5Xawhfy79fMY8nLabscXzYJiqBEoX8ja8x4RhwxvpHOaDTxYava3UJ6cBbkA5fDfacU/4IX3AuqThBURruI4Ap+LVImW/Jb5LtHo7VyAfb4axbGI4KrWjxMc3zuoxxraHdjJvBZih/qodDJM2K0P+Zh7znKn6NdFf5D0b2F7H9C4O10YwT9wl5zd1/nEs+lwqplvkLvDAcadrL/IJMOt3wiOsk3xaRTIgXcy5W+2qfu/mZjfPnkkm//D8u4DbGn/wPfVbkn8E8uzowEcK6WmP+51MURlhvZ7iPdS/O00pGRw0/13dI5vuVkx41M/S2tM6f8lDK0efZ9OV3v7O6TaOb5g3HW/sdMmncaL6trCIz1+lWnYr9L0bqZpXt+ZThwvoOyj3Z11Aw1x8iq+08iszsws4JNNU9yuaEcwjYJmm36Tvt/CtEjnAd7RBROL65LUKOt7528qCvInppkyU5g2Uq/fdrmFGPKLDHeLOum7YP3lmPhV8uuLdrQ63oSehjqroDTmR+/VuKvWcpwBc1HtjfT2b4v5eDaPbb7ocgwu8rvoH6+WxfbpvSS79or2NjYx9Zw/7GSPsm/CBVO758Dwj2apcyx0dxDYLrR2QzSpdt8SXrgHrM8rt+R54yVVZVKV3cuN76BhfACNd8aHFc5Ead3zGvPVOfRXcXVsKueutqdRZn6GLJM+/ldZ/rfQREfstJlx8OmIUmW+YZUu/Ps67fcaMQOqiYB02Jb8DFOrSIfL4bikFAY+GGbi3su9WXdeNMHgD3zwovP4xP6aA6p6b5YaormdYTdjjzCvehdYjtgGNwvb58pPhddkdlwA8wtwKZL0wWRprJ36D2pM3wTS8w/wWDTKwmSMreQx/RZbMyEdQdNzjRUEQF5EUkaGLQbPHr2KZxpMtzUfCU0SS55+ykU9VxhGfnYYOKQU7M/RVEcmGzFARjLZdnq4ZTx1y3nkqIo8XqJvnjeXliOhXzBjzc+oMt2dbp3/3gGci9d15smCojIgX1yfQZ9YfPAbV3OHE0QQiLoTZOIxPx4kWC4wIhjyT40tDIuJwGgZ0lbesNrZVhBjiZ9FpeCcueeHZnOm87K1vzHjOd2j6HAavwu5ubct3X+KdbS2UER97p3+5eBmpZlMN6Ho6PmZIbMvMm+6YZQGU3umI/Rzgi/j8Dm0SCWs20ZXPq1qkd9heG6+hIsJ3QrEQO+S8P3hQOYk0zHmhncJAtFUfQw6L+J8evilqaNNf4T4WpLOQN0SV8lDAtBo0toLlkDYU63CdwrGe4WaLRXwPhTXQKRUtLV3zKhQrvMW5D3xjUSDSgmA7vLHajjzDcZCY171uKYW7mtyBRpxnBzwRHo2X8X+ft9UY2NhzNKasOcJ0htdumOOOn06eMUQ/Q975mWAYCKZpcz50d1M6f9rkSTCtzc67R+4b7/9Jf5nXP0RUYT50PMZ+wrxiOlKWCZOlyLdY+Alv8mhMFX3zeVlFJ4uEMWS5vKK5/sij9yAfzEGEV24Qb6J4PxIl3Xh47dg964npwukiHQZU8jyE5HIWR5yxERbwLCOuJa5TpvUrokbj/FGa75J5OeLges8YyXBx8iqW8ao2r3cnfxLnFXcT8+xwL+1j6Ztl3Z1+XT1PPDPq+UHHAXwmUutzJ0oSDXVZVyXwq9ZBievlbA1N7egTzofEL6GfEx7FPKr47aXxivYkwryAKE/LyzKrf33Ja2jR8WaeA567frmK9A7yW5B1SKCZY789FrLBs8UfHXhgnZblwh3VxfpIY810yvIRjZzvguywka89KqyiebLyhL0rzEenQyB4lz9Qr27WnHXO4s/QFsbJefdI67Q6zSLJ0Tx+o2j2uCAfQQbXUqYKe1XFenB8zEm4o9kX5HlQXyV+AusuOvjt4TKuJY5cVzNPkigPnYt7f0wjsP3K8xjXuorr7VGuJ3QnfNdPIHU00+oK7b/Rd9hvCfdQr8J3Se1LfY56SSBysuRZ4gU7XpQRis+rcb9lWC5oP7/D34b2ECnvw7Z5ItQenGuBFnX1Nbh3vEDttMUKXkMg8O5t37vgPEesc8uLLuoLeSBf0DMD3cVI7Hkn7U1HL77fmOts8S3GPOV5ou52LXbrpknJjhPqk7JfV2F4jjQPcEineM3nTzt3fIX0UxER+y/+xb8QVb38+43f+I0Wxn/9r/9V/vbf/tvyp/7Un5Lf83t+j/zCL/yC/OW//JflX/2rf/U9tuSJZAzu5cgbjDIn7otK8ti7iIINUSLKz2U9V1mL3zZzi3sUw1GByOggbzBWYN0ls4y/T6Fv5A3bMfEy2jeNE3bEq23QuiJMeId6Kg9le6YSlWL/WxKkvsJRkWQAVyYE5ul6rD97FjbaVTJO0giA2J4xVj+wUFPglPrHM0mK/jP89TFOA+AU0LeK5xTaZeR8rnTYkauJGOPRS7rKTDwQP2sT9/fqgxGiyLhN4U9sPmUibvNreyxY1Se6+jrgjfVYmQ3zSJsIhfDXra2zoLSCgAsMdDxqmsOAi8+11xGMwmEsHjGqpVKUqzpMsKzG1dqyhAT1SKrxouffofN37BubbzwW2AeW12A/XkQenySWe1n1PT6pPD7NPC+WR1ddhEdVt635ap0Eo5wd+xXWMEQ0D6CXev4u7xj2tRNftMejwLwKhqkhYU3wvOf8lbIQDCxOv4Ycr+cfGmk5ko3rTHMlwKQ8BX2MnRHh+ON5PHDlNJGMexUtBT7k87yA5/USnng0suBYe3uNruQ1aXjaM8cHygUFm/v20fxh+SLhRogbCAeVL+ZFZdzXhzjfDccRF7JF6WXKPJDWWKCBIiVt4s2WPMeHhNMmAgDiH1ZPwXcqPh+PcJI+Vese0pWSctJQjfRFREJUi+EGUS9nYa7L6IOu9zfmOtbF88uPAGYY8D0ehx5pDT8PcsiQEh/GPche4Xktay/k1x9vsPF6vqRTtG7YyBn7ZIT5h3XFzayJO8m/mKfb2Mx6QjHXXNmn9vPnbn5/pJBubdy1YzYLX57YoeGvTDD2gb5CpF+lc3BZrxP1SdTLXL6I9ywivy31E1q/rQ7Tta9Zi0gLwrMgR6z1V9UZ+6uuOxn8zIDX4It9sXCyRS9hnJLMNlOSw6s1PZ+39LIbk0F5eEyQFjbtq/rrchOukRnwfbumdg7lgFf1rJPv+VmlF7uuSDpMecIEjwXzNJRVAD7LiZjCPJj8dbu5vONdwEdYPg98ig3S5LzL37s1ndaNrPwp4bwg+oMnepz7TLCno+sz7Tnh3Pb8EaeQL9A4KKvxd+jPUXznPinm++1+mbBb3t+kKBuJlHuVTV1Jx0nAqQjygbk+2jsoieaVfVD1WbEu2XDV9d9eZs/4dfRhR59YJw5jhjS8OoEMqyeabzgxjklXZv5Q9WPSESJuUQ+IdZdzuaN3FY5cb/O82yfQoo27cQ3rb9fuixR4YsGr0z5yBwNpies+cc88le9kBocLtLGsGD6BfzxDR7AuEaGAgxpWt4/Q5mEajLhv4LVH1Bfvvyh1YO7QyCC/PYEPyw53U0Ur+PeV3PJs2tHXHyD9VEXEHschv/ALv9C+//mf//ny+b/9t/9W/tpf+2vyu7/7uyIi8gf/4B+U//k//6f8+q//uvz6r/+6/PIv/7L8s3/2z0RvCNbfWwoMnzncTLD5fQrnhD8ZYEMqGKp7uXj5HHUb7r+q4GLe5ggAZ56FIhdw0LkeuwioMSOAVUReRMbQUN6/b5Q3y3d+yW0ZRLxKo9tLzDtUxLwUfZO9EwCZiaNxeVPG78SUFRHrApV9FBFxa7O0FzDsnoBq8zhuGAKj0RUZxH3GbRlQRkBgSIINe7BhtPHId/52Su+Jrt0bWsxziri1PkDcOWraDIxn3qLiQrBPwizhvLusPijGHDFAdfJcrcYjwacorOiBNXysKjhDxe/YCYnvQ74QUkUkR07wexHBjbwxHQOGrN9BePIy9BPktTg3QRC1umCD/vGicWzNQQVw5GNorfxpaJv9aGv/iILjmA3RMbs90YcTBkdxcwrCsY0NH9kM7yLNjZ1VGcB1WNszX1GJ69lhTL7xmMeOskOC14+bLi/FPG6UD9ygTDwHPC3DRuL8LNekjZEVVRpTyWXMoCoiK5Ic8E9rsVoTBY+xz4G/8TvRgcWLiIbK2dc2RiuaW9r+GfwM2hPGxuYEPK9wTe+6qTzWvEjRibb+D2hjxy/tk/uoqbYqj229ncDQFDag8N2jh82ncQS+LWuut/LFrGfoCHNiIxJt5Tk3pL5IjpqDsUoK6FhlzXPYImPt/arEYBnO665JkUV/9RXoFNJTkegIYDzB3lHEdxvNC3nqzoifRredBgnw0IZvYio3TJ6db1Am0TCEB/PSq7D5MeWLtLl7B9eqzKZdl21+S/s/kojAWhVNc/X8vhHGqtRtYtn6apLL7VWkWZLxCji2Rgt+xvm6xPLDgC6p56ARi+s+ajdeqezZDxL4J75LxqTd3NeCZ0D02tNjW8h3s5qgm22NBw2eZR1Iq3e0oMExGA5nwV3xkrc2BUx3RxlSn8CV9x5qvVdC+12XEZEqajrAmfnKTfZCRkvvDEygsyPm0y5flAMXfpFH93XiIOb3pTO8OzcN5006JOkdu/mZjQnn33jM/uZTIBTyFE586QSkot61xzXpXnLEBB5b6GAIY4jcD6mp+sDksSHep6w7+b4C7IXEfRoeTGzsPdSSXgZyu9G8sBeUAKy60ZBUTiXDf87n1rngWZpWoXWHPjbyUFnGmdMqZ84XnqXiaUQjuS+XXMo4aOj/Cs+A3phrx/CDfg5tlfi76n+XQWEOpL6CcqVemRBsnkPZcv9ntsOjAWVk3BFcms8rTzUftnvdUH+CP+qxRYQcDIxJtXfksk/Bn1Y+mw9j0R/Dv3Mgq2gg0yyWAfyxprG+k6rTjgxWdSpcD6jB0V4/JOyTJP0SAKR7Xsu1dq+RbzLa2jrs1gDNtxZfpgPN2HVyxeC8+sTQXmXEe7VD3fmu3nMNv6Ef3zn9VBli/8Sf+BPy3/7bf3uqzG/91m/JX//rf11+93d/V/7CX/gL8s//+T+XX/zFX5T/+3//r/yjf/SP5B/8g38gv/ZrvyZ/5s/8Gfm7f/fvfh3E35pQeQ1CKRDF4O0/Z2eKFsoC4zpaTbMhyb30ArUEAZGEUzGcZug9EK5SUSeGwAzINvlxYwiNgMGwNY8zeP0k4cjOM+My1AbljT1pnOloyZwQr+qIVD52phSSHqvujikyXqdxbEjaxHBc5hcTNOlS8mDQsGe24Q4RTKFNL9Ob6QFRvqG/DQ5F7gH+2Achudf2gosEe4jI8RDpNhNO3PU8wlNE9LU4ostwpaNI7QhmkK2igg2CoB9Fa5GHABfz6RAZLyIP9pjifhEqa23HPDB+lcDm87M7qm+OiRbGtijExZd29OTxk5GZOArF0/B9W9nFRIpmwO8x4nue6x4NT3WrJEW4ipRw/FiAQjxYyFCoT9d8GIfI47tImyzqNswLcoiwfIeO0zaNgrVqKSfonHuD58xxdtEhmSYkjZSMyjo00Lmz32k+HJFeVsqb9ePjk64o34H0BGj3LIt42pFq6KkcDJzFGHq0qMEIvIzG8qBjvmXhw1Gidhx3mJOGl9EKPdcJKqAhItXyWL9xJL3BP9Z6SxtxEuFVShT2PfaXDJGD74xt+K7NT32c4/dwr37oP6RvhEvo50GgAU+e0tXGZkkPKKW15LxNfJwWbjFvmMsC5UR8U/yOQh82Skd+x5ukPN/tyOlxiKSNVo5YDTKftUOcPzBskx9WHyy8fM6rralZ8EGuFjCWyTA5yx6PcRo/PdI/9ndwIoL5dHweAb9TVjkVpscnjTLbLHd8HkuGRF5kX1VFjhHlHVjrmH8EmWS4EudyDveDSDACr42QkeBxW70trwCvWucC7bLvPA83a6JUkolujBdZSjbBSvQd+KjJslsFnHEludNpB7dryuMimb4nenI34vsjxXSsOVsmlqNkT39PmOfHs3fPjrnOKtnN59pY9GC8iLAOs2Ax0ct4s8y92/jE00M475WMW/aXRngVHNf3dgmdHgu5YIcfOqlunYonPKMD7QZ5Q6+SjtzMH+yvdmPa+l/iHAm0I8lTeDQtfLD8RGPL+nqJK+bDdhKuhsculXMKPpnHpmULPDyR4bl+kL4HPXaDi+Gen9FnqDC+C1ejqEh15GLJM4t5fUl/zOmcr32iPCoSgwdS8MFcF5O3qwu4KkEvmrihQ1lwBml08DB/aU8Ar15yI1nYI1vfWW9cQuUqX605nK8t7bH2Qp+Y3n3m2fSxyaZgerg0QBY4BpBGh6qjjokHmFz2oP22QFdRhrD6cF5vaFqXLuenSF7f4WUzLjf4TDCQDqkN8vZuRHru75Audseymoxr0YzcVxLHKpGEjcyR+HD1HvcjpRgP6L9ujqv/u5fS/g/Nv7l7HMtsruUJPGRXcTVG0vAAKsdlRIA0AD8fkAfXSanHGj2x9yrR2GV93tR/wtb4fNOQzjhq+lN5bVjIaIBWOYxQdV20W2vw7ipg4wr/sK/o87LjD+qfVRS6Cjgpd1HCzbrYI5xhtLK885jiSp8Onzs83PJaHdXY3GwLz+9I80d6dh/410t3/ah+atPf//t/X37nd35H/sgf+SPyb/7Nv5Ff/MVfFBGRP/AH/oD86q/+qvytv/W3RETkH/7Dfyj/63/9rx8S1ZWM6E1DKxsA4yTW9We/EVRhhE2bWv5dcoSTPb+DNhPQxMiby7VHnf98ZgaR+sjOBTuWCcfMzv5bgs3w8qFthXJiZdBwUqaCSVVlk7BJ9eB3NjIiM1yb7RL6xg0cm6MhsrBG/VUcyZvqJNxvJYxcYhwYH4Dtf7ARPTT2TxzHou5GefGyuj6vxif0M5ap+ueOcDokzRXeJDkfDuoPAm5ri9qa5znVXQnniXn3Rti7KbVHpI2A7TaIzpfn3zqaS9eGgB+pQsfn+XhVgzvLzCOFHy8rCvbxcv5+fDq/L0PhPLLzJa65ZbTVcESy1/+y6knlDmoTzCemG+GZ/fF0IDpU9iWnYUd4k9NP0We+JnHTnGkPrJN1ZJdlvqAdMJfZAJay0poMikNan5sjFW+kMBYbfDzh+sPjeIHen4WK8iRsbtdywW8NPitSJXwUMRg3bodIvZ6ZzhZwyrlbpBRBwfNmMFzNeRPMhQO2xzcBRpEP6owbswSc6Dj3T5LjmtRtQjxbJrVhM+XLDZwAvzlualPmKu3u6olyHoyr0LzoeH2qrKH9nA1Oe6lgmQzLRujWcNhV2ck+xfrJckCR10SrQj4rqyfZ8qk06I/fVXlFpJLhyzIS23FbvvxInkq97y1pZ4RFulLN+RkJW9H6qHfCdzpFKRnsq/Z8aRur1M1VoTWGujf8Rppb8kl7zXy93cSDurhOrBs/u1TJAVLzrB3OXH5lkHJMlGjGrr2c1/KzzrcbIxyLK5pYtXvXD5f0MxklSQa7omnMs8PaMZgs8F/AtGwd2jteBf0Tr7sY4kYcaB9uTpd4bnSLJWM9QfgPzSe4UaBClZbeAHTK9MRyXmkqmxsA+Q899UfQ+/z7y3SG/BR1xfgnS29FmRXnAqyLwX0g/XgHmvLGdGtPAGj/bk3doT0l7C5dyLQiJP/v5mID/1L+mfWiHnHHcFHS2G5cn+m3hld3V9js8EIcbtXPciPTgWqsqj4mPJ+ZN+r7G0VdiCrR2iqFPVfk83dpO8GpK9m0rdELOljb/ZyL1O1b9/kXvbpTLpymlIBVFdQwUrDF7j7YXWJZYHPlUnfy5za1MtKIeZ5NT5Ypo26/hjz9THpi3oQyd579QOmnKiL22fQ7v/M7fgfs3/k7f0f+0B/6QynP3/t7f0/+6T/9p/K///f/ln/9r/+1/PIv//L3jGVOioKtiJzU8yRs8Z6uSSD56F4jGBSV6kxIIhyRCYeMIpUAkM5AHzkPvsc6HQbeFWdebp96BXRFhET8Ts8IppgxCuyYUaXIIHWIjGMsz9jXxZzSEbR8AfgUdnFTNUW7giLhhkPy4qsbu6L/UtuHtWfdmzpEQGDRyBBAQHEmOmbE6axL9FQQrE9mB8jxkNCH65gHah+8Ww8WnDLKeIwZ9Sqntzxt7oZINvDsduFJ4/GwXlf1Hdu1uik9t77UITI4YvTgvKsMK8ZlH9inKUxQd7zrTnw+8V2frjCNeA+rECyddbG3ctVX7MUV8DY4tiaaIzKre3KRdvhxxebRbNFIBqeIhE3HRNEdsuNF5PGdlZufMzpr50kXaNUcj+C1rCKv38G9PwpK8IvI68/DPJQZGfuJ+q/z5vQoytOgq+OMQNbHLO60UNacGmfU60BeYO/II09kRa97wr4Y8Xk0cszHRl8+Y96JF89L+3hd93EL3IVrdZ5tjn0Z6HBDO3TIOta3EH4Dzrg2p1HchGakYSvTWifVsb2OirFf4IFAmn0eJ0ObiEdb+qu5BvU192+IrCVemunvCRvvL71SNDwKUCQ6WREvSpH/svDRWbfxogG0hsvwGlfE0+k3IWke2LL6MB3ryvCsv1REwt3LUUbwtgIftXn5sBMEyBt70aBzDVVHxofIZJ33u6OsgQnozjnUi691dI/bvpT8Edc29I3N/YAn0HCMrJUB82vyjDPSFKrGeicMNEKabNQ5flVzahR0CY+WTkcH+9ga/ZXlhVx0WURg4ef4bOQvk0X998VGNyvNpSPAhr8iTe/qCXKm4GkFMMcV/kJZXMCUV851nOYS4xDkuYXTbrMnbCyRXJDqIrgiQBM3p6N8pItk85Gin853xTNOlQEWx1Tje96oC/NABeQ4XkSS1kEyxsK64kizRGsL/sX8CDdOHUaYe73DLMLebkIzD5SCVxuvONT1ngCKyQ+vIV43Kv1agTKsExouBmvpG5L7oOjThJ9QnyBNepzreQCf4WjYlbeG7fKmzS2tx8D53W4gOxoM7zsd8kQy8u8wFki7XLeXdowGkeLKGIByl8ve9m7HUxDmrr3EQxh2xRNdHmCdEvVbFIixTwMP1dSPb0oAh5+zXGificbgejGZtnEaxrRo19yHckfd6MgWZCY6jQbH0U+8+UwVz/0QX6+ze8+yGcHl2DBm/RrxRTlPi76S9a7i/7cMsgGhGwU2slhY+yJrrvH8tXYh76hwnnmwbahrJP0Q6yR8E22F+iqDI9N1lG23Rlhd+OH+XcxYwBKJ60tXPnNEHB39r3AQCf3M+Fl9KdqV6VvVZqa/LD40smjLmx1P2P8FXCJwwkdWX5e8mHCt5gFGGyv1L8+NSre3unm8t/QS6+B1sinHe48MK9RL/FkF5pAQ/WfcdrhX77CP5r5fqQ9a3a8nHd6OdVXXlWxQpTDnJ60NgUV1P4qIRyGHKOyuf/h5Be+Ch14ZYfMJF4vXdP2SdNJqjtF6b9feKPIgvSxw3sL8AdPPtCH23/27fyf/7//9PxER+St/5a+Uef7kn/yT8mf/7J+V3/zN3/T7Yr8k/Y//8T/kt3/7t58q81/+y3/JD824h5ungQC9ATlKlffJdpJflF0v79Xvx2/yxqy/lz2zQEPVW/vjgrEnxvrWdEX8sS1XoIynsVKBBLITSG96md7FpUudcryOAboo6z/2zOLZdHvd7PqJDTjMWKi+th9R0Lwx/kHgbvOw9C+Jcb7ZSwzweFZhDoLj3fFD5Vh4La5356aYXsPdCDVutFNxhwOPYD1WHq/kiGNvxh2BLC6QKVTr+Eo4HjUZCRTWAbW7EqA4L282ep4b45WOJbmTNspQwvNKsKyUqEIpuhLgtcIB6WQ1F7EelZq/XM3h2zQm4lLVpYhrBRvmv0fzMa438GBHCqvb8fkSeeMODw0KzB5W2DhXmK/VHGnq6OEX9FNWX3wVGUBEqs3DpHRXCedio4imqqhNIjfoJ8+z6v2mzpRu5Oto0B0jrF2Tsdtguar3TXf0MHyk99tKCzB3qn8PhZPpGc+pO3zV8t5JG5qS6fWPTKN+p/RueuKNdEVDWkNWZYRtyovI0lUfcAehct7nxvNu/nJ9FfyglUlEAk/JmQjuhpdclqe8T/GUZ2SqJ9Nb5sj3npCe3uy7p3io/W7rrwbgfsecuvtwOM8YtJJBAuTTN43NhPGlY1tdCYCnsTwrM70Vl60jgiw8dtH93bU2sQ77UcNI19qAI6rlMyNtKGc6gPFGON3HDThj1aECYQM4F9ggjrpkhW96fjFgykpKkacaQ1pnW4N20l3hmNg78shGtriic1fPyv23UOACx125q1TA/qp0ebNfws9ulUW9HGmYvX6ib55pdzpF5wvEyk62uY3Pl4z/3bwo+/AeQld+1y96UpurNrLzEMpVHY7ls7eqXhd7V3xF2c7+EAtKxreiM0yzGtkg3ENM5Tp4Ke32M95zLlm2Tkfk95rf/aynnypD7G//9m/Ln/tzf07+83/+z/L6+ip/9I/+Ufnzf/7Py9/8m39T/uJf/Isp/3/8j//Rv//SL/1SC/eXfumX5Dd/8zflP/2n//TFOP6Tf/JP5Fd/9Ve/DAjcm8hpbY5OQVdU5PNUfDkyVtaGlHmkhOgDGSvKsbjDIhj1INl9PsG483kyOxcWde/ZPIXmQIgQ3uvEfR7lgh56wZNZZl/oilJ17yuFtoUGnB8enTTvyXAPOMkMZZWFOyshWs/7FJV5jJBlnBn/oq4goLh3b25H9MKVlNIRttiXGNkDEawIP8EbMiNoJPVBMABhNCvAHZ+yEprGtMG3ajfCChvmIDB6Ox/Fva+Qp/RoI1xD1JPdEYrwuLvnOFb4HnhHHs09fGbHDlvfWmSs3bcZ7r70vpg0Au+swzRgzTqy8GngIOI7/C5SGj+/i7poW8BlrDVV0R2dy8juFZMR6Am2iRWF1gg8BI4Shk87SnceHYXw/I7YZKCl+sZJX9zAivnGGdWLBiW/S5EUVR0ix2ddEWuy4GHbwn2rD03vROB0AMm0dK1ZWRsHBu8VaDfAQ4O1t89gEP9Cpxpef3ic8BnxrzI+NTwIyvNcG5BPoS7H0TNxOxDR1R6viz+5DCIwVnTy44XgiHhE9KJHEiMHiqVl+AQDJETdrr5da8Px0XmCAMK2vhnidxDjyQ++mYP8pjqC2sanJwezUeJ30drvsKk0CDcuTnPHNqYwslbH8LujmA+fa/ms/LBOG/Ne3YmPz50QLUa8FXnbKMaq4eO4SeaP6GQSl4d8DVjRJbuEjcamz0LdSMOHhLs8nSfNfI9PhhfkFxpja4eoy2YiDQ8Sm6M298ai23e0NJ1lXuu86ZQAiLIKp5ggvUH69hJpmohF9wP/4fHVCMPxsHouogsTTKCTgaf6+gCe2CXLS1E7eIJIyFu065wb/LCICmRZyODP/tAxfBOZI992GwblXMNnjP9PQXoXPbFKqDumCDAbwDwY49AwT9ujjQflsfdIx6p7YTntxhXW9C51m4JrQwhp+Qi/fc6ZzlydZjJiXoRvG3rPRK04LHdGjcc2Oy/vEq0/BdhprSbeFN+jbpnmQ6Fru14HsKt+wee1LKMxr4Hb4V60I22GV2WILyZDpqWubuxvG7cmLVmb1ljHE8ZYcy8Aomwkz2Y4eMoVfUozn+7SYsOnq1vE92m2dXTf76Ybd7KyczRGQXs+l1fm7wfkgZOQQppyyOL3xdJyWXjpTQbv9btz0Xhk7Ius09Gq6H4cQ5jbhw6X4Uz+1SnvB3SN9w6AZ+vFFhqtoW4de56HBJ3x3FOTNiXn0QBcQtuvjLGo6z6CrAx1YXsAR5TTsZ6y3VTe9lq6vaE0VgLj6fQC6kL+gn1DNNnhVfQbvutRdG8jM7kRH+Fo80wkznXGb849acYv6EZa58H3TvuredDR6OI1p22wwU6sqGRm5COFLM985e5RteUeFf7mE/GgzG7N+u+Je8U7cL+n60ikaSIi+giuH3k/QgpYY/GHdCoK4wR9azpciirFdYw0/phlrE3e9myYZWOsjyM+I5nA9M10OqCVa/tQ69+81tI1czW8lHbrZrN+Wl21WKvpXScjdfhUdezkgx2MHX7Vszv4fA9pwy6/vfS7v/u78h/+w3+Qn/u5n5PH4yG/9Vu/Jf/yX/5L+Ut/6S/J3/gbf0M+f/4c8v/3//7fRUTkD//hPyy/9/f+3hbuH//jfzzk/2bSJNZfVL56DIS/VIq1eb4R2N+EDzL1FKkSiXnHyDz7FEhQuHOhdZfoeC8dua5QZ3hAwh2UZyNsW33BQFGpxHYi7Ko/WPCMwmxxF3GX2HhXIk4CGI8FCdkRvsGIfT8qmHcYCrW12/THDX+pxvmJuZDQucpXvN8ZJ24las/dent40N+Pkf842ZHElYLQbS7PsTqNfPS325C+xJ1+ItkC5dlpBBxLHDyZXyDfIUEAQYMkvkPFPLw/Yhkp/tyQ1G0C2djOPAPKeCrWWbfW0+ZGU/fQ2K5qA7Na2zqF2uqIwnazqcBtt54u1zHCwk8aG4YXaOuOB9D7kJ/Gh+l1R7+DUoXPANb6RJqpKV/ujCiYL1wWnTfj8XbzogJN6yMoqXeE6oAjzVtQuDCVc6Pgw6k+Xn8VrF0/VqmJfFnKEk6U9ftKPgjv8Q9hVamYl2PS220kRPUK+5Tfd8/fmJxmYHdc0Isq350Iu3AvW0LkZn34U+lO6i/gxWn9l5kamBdrNcFvM8WfX3Lfdge3lFc/0tPp3njGzr09nmkeLHhP0cgiPWOELesCWch+h7yFPlJtJjm/qWjstgHxM8/npo8u1vRtftvgVOrJUPb2uGH7dvTsDfSkzPJWHegmrMt2k1yQAdyrp6r3qu6dEdY/b9bfypeUv/rebaBf/r56LrKXPa4SrG3uy2ygUP+ddTBc+EWZJgUjrP/BHa+mM04j7HiJ98QGnfKFPqfRy/VQ0hlRr/Q2ud4m+VPou0hLh56iT9wfVdFm3t1J5UZ/kOvWZ9CH3tiG7Xq/s+46HfhKLr7oH+7DO447IvfHkuc6GxmV+GYHx/Jvf78xXdJMolct3arSVT9dzYmrdMETb4/t3WT68R0dOZW9d7/6nXRblwqyV41k6QQvxXjzuCVANZy60g0s5o839KwEvjxpQ55fMyR3bvM0eNyR/988N3c0465o/Q2ekvRTERH7x/7YH5Nf+ZVfkb/6V/+q/Ok//afl53/+5+X19VX+/b//9/Irv/Ir8hu/8Rvya7/2a/L7f//vl3/8j/+xl/s//+f/iIjI7/t9v28L395b/h88gcEhRkGd309PFr1e7BbdcJwbWKVXia76Tk+7JpJVRSwSAhMSH/QWsYjZ8/z2s36L7Tjh1IQ23CVn98aa8gB3eEVj3ro7yzyIPNLXykshF8yy+hjedk7sgVQxJYxuSYrtISIPuptVAGdRiRuoGNkx76/ThWtrjAK4CT/A3XBEDz007AorIyQYOJ3n+zaO2DdjTs/zWSPcXR2Ri17sGIWK60BELOab71LzPDgmRzUTFs7MvL3fw3Nd8wyF/lXsnHPgvcp3sax7kofPdy//OkLepEwKDNPA8bV+oTWa7g/FRsMzFfe43aWhIvIy57rNfY66g6PVyz0Eb5OGZ2F+W3tJUe6OIq2E2Gq9LmObzsi6+flJ5qcGQ2woZwqy9ZeNkcgZxSmLho0XcLrWAk+461M+qby+nLREX9e8wU9UhJaXoiF30tfooLFw9DLQIXS41a2EtNXmtY6+v92T0KKNVUS1oJM6o/I+Kc1pQmD2+4B2hehSbKusvKm/LI/xKlyTr1APvAv4WH67jxY3SwB/K6MS29JthFWbJojvoPwcqRsj9GSuQxhzi0wEWi4wpqEuj+5IqPi8VQNfjZPBple+DqAdwVAtEmWgOe/HEFGbw0zGoQ+snQPmma8hzM+8gceHcac6nG/uNucvHIW8vN/5vtakzQc+UQLnv693i7wf+R3fXY/H3J1zRCQMMtNRnJeyIolxfoS7XamNJjuGeYK0LDg3dbwZ8jhvoUzFHAzr/v/P3tu7+rYsa8FVY659VUREeFEwu/gVaGJgoqYaiIIo11wNBLkYCGYGYiZooqAi+A+YiJgohgaCJiKCiQo3EAMFEZWLnjVHvcHoqn7qqeoe4zfX3ufsde5qmPzmGKO7urq6uj66+gPb9S4ix3yRxs/7ZFC/52hp9/pr1KNlp0tzegPJ834MIV1E2HZMzOnt7BbJZRFQkts42IxUdjHG5/ixOh43gaY4ZtDHGNLE/+UV9q+pqV+zSQ1Ejl394v4i2h/J/joYxuJ4N+CjdDcs+STJjl7pBZGyMyF0LJ10MKvXwg/dUaKXbjMpwddFWi7ccfkbjX4g59E3ueHZZOPs8pKdyzSYftBCH6/sqdAjNwSyhkY61TC3J+HNOqfLC3Jg5Xsk3nXYXha/wzuuB232hGOHe0FggTvAuWgJ/Epk5d3Ad0H1O7ymT5DhtbvBzCrNJZfv6II6LD2zvVnqA5wY54EP4xf/Mh8013QtF1jgd+Z1D4w2u5q4H9hG7eB6nvOTTl8i6rj+zu9k+qo6A7CdPxiqlGWcieg4CcpPTsK+t+ZEHTO/N3HaWNcJeNIntHVVqpwo+TX1WQk+kszggE7cb+x2ZaMvYt4RbQGbY7zz+zvbp4i3DrdDqsxGnJSa19prEx7iyyn4G+mxqpvxxXEr0sLHciV1ukaHbu3KK9OKbVIpNlzKj23Z6TkkLrxr5TfglsomGW35tzmuG+F08wwX7kOfu70K3x2/ApvatA2uQhv5N+e77BnW4x08QO9Zosxd/RfPLiDudLdK+FBduuaje7lUjvb1NvOJhuLyZMi4MYeeTjgivfWEOMl39Hbs8sdcdX6fFy9s8mz00aMOpXGQ7PyVbKHnboNE8R87uLbIu8LxLnXyIHg+2yK3df4I0s9FIPaP/tE/Kn/0j/7R9O7t7U3+4B/8g/LP//k/lz/1p/6U/JN/8k/k7/7dvyt/6S/9Jfldv+t3/YwwFfmLf/Evyi/90i+9VOY//sf/KH/yT/7JeJ6GOliDi11JkcZKhlZYnjKdbTZ0JAtRDIbkIKvkIyo75nejyQ1SFs5o1C8Ei0+yXcERCOKCoWJvJGQYhs1jC90YTUeeAr6czrfGKBKZhmd3REQIBCMDdRrg/n0XICqwHX+VKzAkVu8MZphw5FV1jDUMDGXnhgzrWSbTIhYB0FFf7dGfbFyDMiwO2YNJEwy8zkocRcvfu8l6h39s2lpwb47oQ7CdEQew/EhZDtB48L9tZ6JPreNyBPIYZYMjwWNDAMYuBirimXgoO/qZdjN4BO9pd+yyT0uAWyqdycEVkyu6uaJ7aTv+D8eX4gpmWIV8vo1jcf0oKTQQFY5DRePT6enH9ThdKBgYbZK5MEPPMYwH3ONdRf1oUu8qr2sUTn2tGz4ysI8cB8RZJMbd/ckAszw60IHjqrhNPHAMXAEmyvo23+vn2QYRoh/Ix8TvzquEp0HfJGNx9G/gdWYYvnL9eId6lOp7l3n8sfeRAlqvGp6w4r18c5qDbJg454piokakjEeULTz+o8oD+mLRDpxAwkBnChjSApR2MlTgm5dLHyXGPJ6EUXjOF2qhnYHlodxqEtPLp8kSxJ35gHTjE5mUUtQxFhOJJFmKOs0XGLETju1ZyfGUXLa/2+QRpCXz2AgUnxTMRjx8kRwHVcMhpnt4uuOcmIe7OyrbI3dNpBx5HHytmQ+wXe+S+xH5ZrQljrxKiNEvf27s8LsJa6Td1Oleti8a5RXqxEkKau/SWd3xLPK+v4pAKg34hje2yYs57l6Xyz8Yfz9v6fvwE0saM/IleCkSNg8v+ox8C99xeXRayrP4sOGBOJoSg7HEo+1CXZLt6Xg6sG2CbZh/2F7hcXHHt7BLJLIux3am9XbyVPN71surgBb6UbEAdTXW3Wcr+qDBh/5f+a3Jz+xspPGM9mup42G6DZau8vEi5Rdk01W+hzvt0AcLGtG/BTtnmTq+ZP4IvU/tE3rncwRs7yAsQb2jcwzd4di1g0lRvr/Q+XCqkm2u7CoJ6ext5iuEEKUF2FWAwX1e9xH9eobqU+b5A4NAbMBKgCWuC0m+SHzTsYB3lOquU0KgZzDpJSubxoQ/FrZET4taEPQJ2gk7eRD4WeZXsh3nu8YOQnMO27uyFdhW7PiT7XzPDmO12MmcR+5pl/z6hVwpeKPN6uT+gBxdzceWanEhVqdLAK+YS0h+R1OGy0ovg9rAkUiWmwNO0uORcVGvyAz+j3JBwp08bvBJtpJJqTONpy4175McXyUeM7Lht8am+HCCcXXr45L9kUQA8excmIQX8HwwdeOSFvrt8qZvKmnuznHEZ3/XBYpvTYEuMNtm3MNJiWXjXX/RGF1t4klFvL0rfY8y+BUbqxvDT2zU74O3f0rp5yIQu0vHccjf/Jt/U/7JP/kncp6n/NN/+k/lL//lvywiIr/pN/0mEbmONN4l/+75vyT91t/6W+W3/tbf+sVw8s6wsROSVzVSikHEk6rJQAf4KvluHyGFgEIJjJUrI8HjC687R4JxOebdZFEM2j13msp64NGOOr/rFid8NawoyBdtlWRQ+/c07l2xwtsSSESUwBiJ3XE6HbZ1AG7cVXsCAmwYo9xfGAATB3esmvK8q+IV56jFHapYGHytUnRjvjEyuuBwWijwvsYZDS1/vgB0VhCMgUV/xlsF/mBlhwYqOEh6mhyfs2WSDNbW2JuOUcovtd9noQpndVdGjC2vO1Z9TT5/ZBxG3ZDv0P6oYjYiKeCE9/y18oJkDxvvKZgi+dvVhxr8k46K8tXLbzp3wro8aGRPOmbY371BXf6+W308xlw44y6j3mfA7/x0GTxpF+abjEl2TbLtQgJ3XNXFHq3Dg8FHppPTKOQpCxoJGRurEOM99RfQiIMvxQEaQT8MYnOepFZo/Hi/4P2mfjepwznf5LpfB3nFYEyRrDzw3hHEm+oMp8cItsI7m3XV4FiutyTEYcDAlaHp7ndfYbrS1dHXlu7JwrZhALbwEy1OiLHkOPk7HyM6F1Qhz6U6V7sbsQ0g38rkL5bxvInvs0KINsA9f2mBAuGSdGUAEREfp0hGn/zE+4R3C53E5VMva3kcJ32jFILkgK5MWV/vTKS+lKl3eOFQN1nBE7jpO+r8ps8vmMx7jveEEZNCTT8XR5jz2NhBgvjsnGDWOUMul3QzVts7kSw/F5uBcEM5gRP+F34Vl3YnbMBd8O9HkkFd3F+rMcLl6SXiXuTi94HzjzB9X37ioxTjaRIz5M1iAmaeKLDugG6BR9THY8nL8ILgBvxcIDzrf/m4NJM4SSDha5RP8ruCDow//0dN5mkmW4QyzixLu8Br2Ewsmlo5s67rzldu8zQk3s83bOqi9xx0KHYd/CqVTXlIrz9KT2hDdQUuXt/Q9TmrI1Z9+tk+re86G9izEw/vxknrnwGdV/6s28breYWpcxXlvX9fLP6rcPIrxHcV2MdvIhK+pPsiqcwmuM3zTIFe1x8C9Nqk7GfiQl69droOfzF8SbSD3af0QGyDQ6D7Lteamkafhkgzt4kmkYtv142VBmYsllvtlk2Zb74rjZvmG96li7KunMRwM9ZTUPMJPjy2pH9O9lIzRnARUQLR0C/qxXGJ7wk++r7o+6AYSnCxeNfX1DaXrwhPGTiXT+2xazEA4NyWRTw7f6+B39m1yyBpp8c9n2XbgedvJk80/MbVoInr/9OVW0/0ZtL5QK++DUOuJaZUwXnS3YIaf78Nwr5iVxOtU90re93bqfDI9FrptlROc16EzXUiiHPx/CpNGjtEhPTLiwl5c2dfL5PO+ttFxnKvy7Y2FNMX5HPJd5dYjn6guVvYT+r8EaSf+0CsiMjv/J2/U/6//+//k//+3/+7/Of//J/j/W//7b9dRET+x//4H/Krv/qry3ti/8t/+S8p/48i8Q7BQ0TOGchLxughl7J7t3judhOkiS3dDNbVpNlh2WAz+q7S71jwPLRL9nwbQYdzTpidb1ebHE4cJTOM+GSAsCF9zB1riW7snARC8E4lKZZk8IRyz/UtV4nbEPxQYRjH76SUsZ5QeCatkyHSTqq2Spd3yobglhlkkqqwZkUACvFdKA4Pitqh7QS+2pVHbfZxfJOrv/k4MV7Vg0Z8t+In0QFXiKuINDtQ+aioC+Ckk8O5yHG998AOK5TEW2F8j7Ln7LfVzmElejHsZODIVIr1Tg/r+xTGZHKsR1sug9nSztPtrl3CteTDBRXYf/FS4rjaDNjhasuD26SrPgXy+Vg/5pHE3b086FTP8QzvHX63wnnwp3l72JgzyOfH275f48OOa0eunPPIdDmGDa6DPcmo8aPeVzSJf6FeU4ng+yXjcke6jDAAgoElD9ZetNUwnkOuYADDeQyOL+2MeD3HJIQv0AGeSU4Gt815BgLnb58tJkMCN/8FIBjQLOOOFpfkj+P9G4hEOL0glUFZBscet3C9rayroPFqmb6ov453mc4LBmNlyowEyxezRHt0ygObssIOne2iyfTz01Vu7ooccHBMiIYMdtxxQsOg3QHbpE7KWu4XnNCIhQEUbGOZiAHiQwyOiYfvUcF8V3CRKbcT2sSzFuVVljaM05zlpIh0E8lRzOH6SB12h8txly+O0HYBAMD0bxlXlaT/QSfpOY7oY1tk8FDrUJMcQ/khOvjEebDgqPHrgT0Omib7rKnLbeGYiHQ5huVBb2K9FwjoYGzXGC/2aeD/E2n6+7J1kkON9Bz2g8rUkd1EfqS7ax52yfFf6Sn81tkpDV6dPkpwcKwybRzWsEHwuo5v6VnqVvCL5H6Ziz964yrGbaOrRaTdnWY8VpA3kt5r+N7zOd6Wx1uHQ7fIIAUIzU8XARspJmgty1ZYxNL5hJ3NcL1Y02E5WUzwOFt3pPpdsChwbcZot8ChjONGt5Xj0BF/h8NH5xfEJl67K3TQz2Zdu5yQFyn6plTP+DoetEs58+5VV9gl0uTDSXGWnav6m7oqwk3fUPnkXwK/Y/C11KMydlAajL+JO47J3cIez9PpvdoWWBjG+Hbt6tLGT5/PVeaVRR+I1k6W7HCC8XSOhbxx3yss7o0NBoOPzjeZi3xpkWQEZkdfGPc/03j4g2LXCUoBDK71Epl5SjsaPexze1EHtHXJB7QAzwLfvDhwGcDuxsANP3XjdCdjeRx3AczO/uFFBKmdDrMLmCI+JvN6OFQ5/o10XTkZAr+PPg990PBlKzMauw7BOz3nfNo1ruOI1xV9bdIz4HX9CbyM/vor44zbEnOyDJ/yxQJg+oa2pI6JFW4n6xs+tSXB4+rpBerlbeo2onSJdag6X8wK0h7Tje6PzTrdiZFefNH/ohOHuxNTMm019e9Fmlk5nqS0BioLub5TrBN+wWWlk5pjkPuMzf+FDzqE1/DbK3sW7d7V+1Iy+t3ZdIHbeBVCRTKeOIbEYNPP4B3wozEew/XcLQxN6Z4Nfqrp10QgdpV+3+/7ffH/v//3/17+wB/4A22+f//v/72IiPze3/t7fyp4vZKCMUmhPweQGd4daw4q7owiHXeI4V186CiiYtsdM9Ap33QMq+MS1iPjAwZep+zQ8AR4RXihQid8jPKkMpLLhRPn/7vhotPQxLvbvA0lmKkzwM4pHTUI+cv9HLtEDucEDkpy4LASgor4L+pAuCILnuJiJpIcNFjF7rjtjDb+tqxT6fiobuIA2j0NsbXyDH7x5wdjtBilBDO96voMjMzrGxJjAzPGsrU8zBPsyzbg6u+nx9Utdh6V/6U3VpJRvJJVgJ9IHS/s0Mbu2yELPfAouNvV5SQZFCxPpvEwiWoqc+elkVEJMAOHN5HzO53vZNYdjkcnx1C2LJyZEgi3DAYN5dbx6uruviPMCEaDkBy/1cnJ5XBiNT51bXR+wEn68f1sgvxlHAnVxW1YOSD0myfnJGjVkqtpP8JDfdVOlG5oF0414yokJyB/ZO1kjUha2ICr2K9vjIuKHPn+Zi976cRxH8xC7iYWs2kfiEhZhVx41PMuBBe2r5107Ypu5Uwtv0sv220NbF6MgM50x1PJOddNO2XdBrdr8rtmTHd2SgsQ/t/QTfE4cKh364ix3XLXf43cWtmK/j8ugGqPakL6vzdlwUYV6cflBV8E77rnlAJQqKM+yGdb20HkGS3xFe7KwYBX4meb5Zvkdukuz7cESa9BWHd6z2fW9Y9Sp/s7s9j58Clch0P6fzv5U+zFBR7lZcNADZ1YjiZdQbLgiQ5o7SlsBwWDu6BsQvHO/o06hr6Uqb93MO/yPOaVXd+JVJo/hLW1T+/AbNq3DLKKtB3R+TXJ5pL8vejlVf+xLlrY/G4f7oKZPOdRAwea33d60D/dLfBZ6dFdkRf7sNqL9UqbYnMe9G2V3IfobHKZdlYE34Yd6xsEykJe9zs40IgnLQGq6GPGYl+8SgzxHHDQn7z0rAaiaD+73Y0yK/pe1oKmW8SRyMJjmWRrO28z7MjwtRf0LnUkxBYo4/udeHEy7erwT4wf9D/+8phN1d+Mi5D1rDc/aM8tadrqww2gRu5e/4MPttMZr+gRNO+g3bf80cBk9Zz+6Xink5Hsey8rvccrUFgMtRQM/cgOSy+H45FPPWnsJRWJMmXuQmTNL7t56js7B1Ojz7oUwdiP2P5c95f6D6SP27uHlzbgB/q2gfGh3bMvpEfwG5uhyHnMu7U70YBuYN3JqK/IJ/w1EYj9T//pP8l//+//XUREfvEXfzHe/+E//IflN/yG3yC/+qu/Kv/sn/2zNhD7K7/yK/If/sN/EBEp99D+zJKK4KoXDFbty00uvlaVTA1lwwgLY+8N887yXeBBTzwmcxhysPsgdmGE0zcttzKRN23GawcUH/czjkTEXZNplYRpOZI2TVY2jkMJsKbCoMzYgGyUd5oM9Ulqgnu+TbzriiwVnhjxdk3tqBP+MNCNvjE+3YTpxHMqtejqU7JR6Q2OQjL5rkzE5vrRsA58eDdhai+sQIMdQmpOCpv8SSvWHbcJC4kBAefTEu5BH634c9sU/i8TzOjo+nte9dgoo9neSZ90fw+0K8YOH59J74Nu7yK4e8d3kM/d0+PnXXJ9ImVXA/Nra2DRTtl2MqxbYYcOIexyKTsnID9OzCUj0tspEjutXa6IZFqLmJzfTdnGu17PT3r9fidx//TVBhEONmE9aWWzQL/EPddj3L2PlcswFnzFtJ4Xm9qvu+p3fjreh4xWm/0PK6FT+3TQYLGD0xe7pKN7nZ9QThvRD46rXjrBUUl+tLdBJ7xDtQTucjncGRn6Jt313dSDO+j8GPhjlit8RXUj78UY4nbZxIl39cYYdFw8n0mVrzr7oEz4vk/YxTnBhU7cbql14pjlYEfSpYOv0gphONlgHr0GuGO1R6afHCInnSgQkzmj7CnXLtR2MtHV8DvQ1ReOdMcHK+QREVGNfpj6aASGHfd30DfiR97NcR14kLwOetKJFDGJxn0WRHLZPXdmpcVkBB9ZnOVqyDkfx1wn6mHk5RjD3hmLb22wAmQwHoOE+I3Fd7yrc5X4fsdyf+y7FN2FO2ALrNAHs3zkJV2cdrH68/vmiGMvh+PG/zr+Vb10yLuI+rHIY5x4/115NWCv0uxLCT7FMsgz9tYcZ+84+s5arqDTuTSmQo+Ptulpc7Ec2zlOp0PmDvnPTQM72vknx9eGDAK9+y3dp6pTq3GG43YPqys75V4JSlHdl58pSX7HJ9yVkI7qhD4XaceiSN+uyNItwHIZsWh70dEhtysOjF+ybbDOjHJth/O55F2DPlZDt4jbNrbuM9jhGcE4kew3dkXTrraZIQfvoMFAy13iCd8Cc8DbBbC7cpWPID/opVQX7yACuq8Qz+W9sgWy3aLeBqcrb08HbpPzrI8ff5/sHWHaZFvP7dKKr0iR+S73wV4sk+CoLxa2TsKrWXB+5Rs6JOanettjOVZpsYbrXMQRF4uhn1YWVuBvU7cKyLrhs57DHvZTe/xEGMOdsSQPTrShR3NDvtACx9YH8fRJRIY9kK7EMG+szX7Htvu48WcP3paG0//Mv5LZJxZL+YI0nLuiCuZJShKLMuNbM7ZwtyI2MS0gEKA1yr2mj718t6mF5zOin9jnAfsvBdAN/nwTBsFMbYPrc2K48g5utq+kec94deVo3KbFGqXtcGxqt9Ae29mkpb1Gsj7sxMN5aJRfjAUO/q6CgXUM0Qtqt4124saGvDtT4j23WXF+hPBg/JRwL/IRdfvu1AhKlc4uAy54GOxHPHnuAmm7srkSfHH64RgGFvS5GJ/HD0ICj+DpDIibwJUUbFd1C4Nau0Yy7+Mn3MSy4OM22ay/PaGH5FKXdotPW9+2eT/nLjR9WwVSW51HtFmOdZF1e7r3zj8N7dv5AW3+T0Ixw+ETctoTlV7p059S+uoPdLKbAKSZyV/5K39FRK77Yv/4H//j8e03/sbfKH/6T/9pERH5e3/v78n//J//s5T/G3/jb4jIdT/sn/yTf/J7wvp7TNsdAMCUT3saBTJOJm5xEFBethzwuzpXg3k3wbLFyw3jjTHdwVnWtxLmT9NHBj8Hxb7P9MIqnCWd8QivUAoPy7Y4SaUz9GGZ3Fm8w7JfVDfAx3qm4zX/tngEMKt9+gp97vKDARmG6Z0zxeD921n7dpm/UdJMM36fgQjRUsv/hea71PUTfeN6cz9ret8ZqUmuLHjEv3e8knBp8MTJsshzEHyVmIxODgrDBby53V2KfHeyZ9PHS2eQDS3p867qS/g9lclc7qbeNf5a3zcOZfwLBuBSxzwwzp+mtRy8K7iAcatfJU1I4JFiNniz7CDH/B38bswyuuPbVlenduitLtjyxhPZvsKnPTEBZ3h2ADN+j8flDayX9GI3KbCqYjsBs66zuwv2+1glzCmOeX+0aFG+fEx+AYy1zfVRZL6HtNIb3WTPl6QHNv8Tu/5b2iSUiR/or+2RwB/l+Rsf9e4YYvzW2n67co1OWQbPVrCgvnbRJcF5xTdKebsjEO/KvJLCRssVpEV48dIbvIHX7nbfVH9nK7WF6vdSx6584q0bwj2UwSsfyL99UYLJbvQVfrD5AgO9uarjob/5feDYBWGz/6XVjmjGK+uRJ/3S+oKwm9P9MrSPk40M/6PMKL5dep6nmiRbG+3thY0dcvAAvLAO1utfqFsfy03XQUkXIT2o7x7is5PRy/mH7vlp+xtatvMOL+ijYufs6m7KPUovyLGurl0q8xey8o8k05t1t1Ye93mh1h9nvFd0f4g7BlqfzmtzHyyDwou6X8Fvl+eqaD9/9zg9sQVShgcwv1AHbk9j+FL9imnRxuUVb7bB7fvE64XU8u4LOu97S0/tuVV6aRz/CCOui/TV74j9lV/5Ffkzf+bPyJ//839e/sgf+SPyi7/4i6Kqcp6n/Ot//a/lr/21vyb//J//cxER+Qt/4S/I7/k9vyeV/+t//a/LP/7H/1j+63/9r/In/sSfkH/4D/+h/K7f9bvk//yf/yN/62/9Lfn7f//vi4jIX/2rf1V+y2/5LT/19nXpWuF3bX+au7MGh+IuMkjBlM0xjQrHvYpcvB7n/z/hfB2w4Lx0X19v6WiEWWes9nLDUaZAuHNir0xa8xAtWmOIFEgcETyEpyEcN7D5OCwTOT5Xg9nrSH6qSewiOj9dhsNV17inDe/cA5yPz37f7lyNFTv8sA04SYo7ScfKpLQy3FdFBw+4JJa5Aq+T1ysnl1doEdhoDyY4vpqVFeKadphYvvc15fEJ/bPHvW0LJ5Pax4J86XQnR1QlAmFlZZxe98W2Kwthdeh5SNpRnvCkCfuy+xZpCbuI1Kwc3Yh3NJfVTc3EC+6I7xIGYNVE7DRR36GSxt/OUpZ5X7XmPmh3W3heMzmaoylXdV44uayZqwCT7Annda5q5jth1WUc4Jru7wniSJYLamkVdKxCtMlydoyXpw6ZIcFHCNd30IpeO2RFRPRdx25ME3mfY8dXkprALvwuEIEGmUra6dHdj+p081Xc/m6uBswO0hzHIgfsqAxYLhPH/dixy9XpxKzgeaiOjtMChpdrMqGecB7rVv1eY32ML+wjkdCrsZPZ+8F3PY9dxrzKOjm5qBtBP/HEQGmP5vImIFvH+9hNjDh4H7O+hT41v4uXdhid6bi1QRsaC7FTFvUw9gfQKcnUTyo2TsNYyfTgVaCFyLijWwCmZnrFv8RbQYM32Bno4w9kepLlN/omTRYOea42drM3dk+MG9O5uIX4NXY247e0c2DKuWQbBACNsYL856uXYxU0tU8drusF3kmNdxU67rBb8soKuxy8v8Zx68fnq1ExrkH2lLvJnFYAJ3ZodquZKU+0yVe3u1z1e2BXieDFO+Jxa2ys2LktJnKOjGyrK/WrQntgB3OyI0QkVrY39xxP/h70JdiqVmi5W1wS8Fc7DlHGIr1cJ/qrOKGD4LAeFSk7fUvdMJa+pZt0qCTfabOLL+gOu6XKPYtsG3v/Yx91u7tdlqKe8zyoC1GWYSJYSY6RnFLLeQLEQXihP415sSzYK9vk7SCdyvgnu4XHt6z7iOXzyle/7DK4dxxtND6mEGEvUvZhtB/rTXo1wIWyCHdEtTi91x3yE+iw4wR4XqgPUf6q5LvEyzxKxZXp1QUuEp1WbUG+H3l1/Aa+2O/u520S2uWFFx/YMCKgN1HXO35sX1j9P9m5LZImvJOqfBeyp/AztSts0UR/0nFersOr03f8LslQ+B0nKLkfE8+fJAVfreg0eI/2hIp4EDZOaHHZjLYagHO1qiaXP4gnDpnI8ZNrT70dMs3bFT+zLciiuNPXwOOzGFxtNdrL8mYG3KZQnHNfhJOImIzx3sieFHAFGrFdlNKA5TLZbbF0UhTKdez7Q8CeI5B4ohDLeIfDY5Ftmt04ZX2J7Uvygn65v6Cv2Z/GIkb6XGmeSs3gRC2SrY1tyYvIg0feJHQ/n1w0+3Yw5NABZfE60UZX9MCy1EdLOYFtT/Qf3AnwOh3G8935Yz1Vzgr+ttRP/L9JlrGd3R04dmPacRLU+Vm3rjbjYH3mAmfBCx3uBRSc7PNkB+x212xXD9OgKcN6d7t7n+nRjBs+0SmOht/IqV1aXk23oXnkaeRCsWfvaLhFrqm7kX87m6/YGTrbmo5pbuyRJX//DNNXH4gVEfk3/+bfyL/5N/9GRER+3a/7dfKbftNvkv/1v/6X/N//+38jz5/9s39W/vbf/tul7C/+4i/KP/pH/0h+6Zd+Sf7lv/yX8rt/9++W3/ybf7P87//9v+X9/T3K+q7aH0W63d1Rtaipih55xIRyszHwR1k0YlB5PnEm6gRn3SLf47x43gmdxbet09yV6QTvBq4HyVwpFUcD4YFCXTokDwRrm2+x4oPbzH2I9HHjxaRvc0GhybMKnN+2lYyCpWECvNhNVmCebdod3cVZw6CC+iUrSTwmbdV2AxondJ0XwljNxmyrrDjbip9MmiOEZ0bur+VEAuHL30pQqUPlCbndGG8mWAMG0nM3YFRbHMOBReN81DuNZ5lOwQE4oVEAsi/JqKX8srLyee3hDFwAb64vteeA74dcQdzppRJd5m8+WsdKnhTkYsPeF3ikPtECp5vIZAe/owWjnhdkNO3B4lwHw8ByO72xKy8u/we+HphnQ5Xhavupybx+lycPmzZ1bXuiV7q+gGejMRXjJlbka4tPmVQyQNHbAnwvQGcdZbZ6CXAq+AnA5+8dzM6mYTls9A7g3Mm5kFsw2ehB41Yn7XbSftRB437kz+3YmTbiEwZ2J7k7sq3qmX5QmLYH5WZ8gMfu7qkr8mnF76+mBk7Z3dvh94Cf07uG3+L4zKWuk9Br7fFMu7TKs9BfaiD/buCt7jJiWyTb8HDX7mKc/hA7qH+eUxtYeHEF+fLKiM2xwKuUZEaHxq1sk6k/VvbSIm0nRLuqGj1QvjfwO3wZz5xnh7R8WH6lACQFY9eFcBBXm3HXN0vav8Jud+21gdf3JAeeBo5L0NyTLvKubJZlJVeZtEAKq1nV/2Ja9f3tLlhMbhev4OKYweMrGx22RnRm7gLeYYOD7Zq+cVnp++ZJ/QnWsHPDVh42Mu9aZd9oxzOC+ZNNOwKzY0FXDGdsg+cHWiS4KHtSY8BfeWV87nT/Sh56H+F7stdjYQ3KaDJHmYdavmj6twS2AN9EF+oHf7fsR64DcOjsnBSU5XSj99r5zUXdRVZ0PL+QJwr4P1mEFHOKgsf6ElyVNC4Sr7tN58+jUOvHdzwu9K7z9wLXxjdo2rT0VRZBuEe04nq/H/W1qKO3u1O/jP9vF2M1/se6gNZnbQ/+v627C8D90On2HnTObyYf9kdwvKexvIb30t2tqzrv8nxf6UkdO9IN+jyKSXV1/TTa+IH01Qdif9tv+23yd/7O35F/9a/+lfzbf/tv5b/9t/8m/+N//A/59b/+18sv/uIvyh/8g39Q/tyf+3Pyh/7QH1rC+GN/7I/Jv/t3/07+xt/4G/Iv/sW/kP/6X/+r/Jbf8lvk9//+3y9/4S/8hTi++EeVDhFJ97COyfExGZ/veB3B0AOVRJ2cskOv3SgbBRIDoP3Ixsm0BPhsfTZs2pVM8NztzMK2zwdNytyNtoQ/GLW+M7MYe1TG4P1cEWphDHeTVHgXZODu9PPdrWllSV7VZUwHEj4RRFUR3k06dxxYxskNTxu700zGhHkv/bq6Cm3IeO6+cRtQke+Ce37fWNzLxI7cu4iOCYWrn6Yz7sE3XxHuux1FpPQbBuR4BSPeh3b1ocY7Di7FTl/n7UZpzD5wAthUwAt6ocOQVv7IhZ/vkpQ39npymWgrfGO+b8e+r6p/GzTAnYK6+PWjSb2uzrBQqYFKgstjardIAlOacOI8Xr0H0mDF8twRq9fvp1HWdz36ausG31nnDMDGr2dkXsb7O7/zcauZZjZlRUzKnPNX3aHQJq+I8K6y7j4GvN808IUVqCbOOxqyc8paFTksxk/LUyCn8CQCdHxxdWzZCecyyN+BnPe1DEvHAPlslOXJLQ1YFjI1Vl96+Q4mruh1XI8QUdfubXrnNI3Exv6o6/gMMBftQhjFqUc+g3ovOXXxy/mdDp4ZMg3uOcFTGOwQef+F2W6/e4vv8Iz6Scc7PoEe6V+vJ+E52lUcRKe1SZKN/s1Uyg7d1aQlTjau7hhNdTifkP0VdIK2ZJlvSY50q5kN8t4FoCdfjjElU9czjEtv5ee23xy+j2/x/rexkxM7cOaddKnXQUx9gA+5SgxY8v0/SOe50xdoILnfOFjLd+mke+5kEN1oFa3/+6ZDFs7gcNlJp4A/yCWU0YG/zjtiO908M3r7Mr2DP1TD1mntVoYdfbG544tlhz/C/ZPlnjIBHvddv8hzmune3THP7YtnhDs+rnS/vjRr/Gs3lUlRt5d5pwTquge7jUMGvfGiHbC9Onvunf5nmwruwOSyYTOwLHJdBvZY5sm6sMhxRf+h+E1CuNC3zvZ4GhwrE6IFZ9fbSIC+rrogI7c3T7Brep/98Ix8wL9mxrPPjDiB3G+bD3UUH5ELsO2gtZ2XXLIW3+IvSl08yz7nhfei7WiL+r+8S2vR5xj8YHux2DBU18oGvPPPc2YpfbOaZEb/IPkFnc4ygLPYcZXa1+18ZR24u+M5+Jrfa+jisjgQ8YgHghnvnUiNDbbA0/2F2PV6jFOI3D+A02H8JJmroMMBnBgv95X8xDaXB8fwTUzjW+JJG6az+5t+Ss954arvU2e3Nq7kd8jfrT284lNt3neyoxk/rUxbgGQc8bc7MQPnwrqUdJaPW5zLAziYt97ZCHYl5kfQje3W2mFC/SA5b2n/on1FVizqXNlcF4z6YRmYJLnHx2unPqfjsyespg2+GH3cOWwoi7BJYBt42atttm1j5PWiKsW/MNVqSyuMO+q37Twb6jSVJIPcp8v5LfL6rnPGO7Vh2AP+f/IT+fREwHl5+iGlbq5huUAqeHTqGqzz6jLgH4T7ZAFutxN2j35bV5t4iIOfHJvbNvUlXxN5asBOp0dhnSb7058Y/i6hwmiRzPV2uNzC4PwdGovFuR2MbV6g5fI74vMjSl99IPY3/IbfIL/8y78sv/zLv/xFcH7H7/gd8g/+wT/4nrD6gVPnGPsOzeFIrpSkiEwFgpNs4/2cZEIpXg2LfESB56Nf/xzHBU4Flg0XMvggMBjfNAsbdwIPOu6xdaQZT4ARgZ1DW2MtSNAotQvIcCoEDHKlPCuHdghVVI5x9KDTxxX+Sk65AuU22iRZfKI8YSDA9+18litUwKc4rYhrYzjhb5q0REQ8vysclvboIBk2aMIvDmnjTMQnNw4VHCkB+g1a+nGc17Er1UAIo25MAvkxuDNDHltdAGGZQAH77oFrtGscN2syDYBuoYUbrh5g2hoc5RjHgetpIt2xxQvHOR21Ac/hiIIx204os4wYbcFvM2+Dw8IIdHjex+EgQ1D4fJNwotvgwsZJSA4H5Y082NaBkNPllDwJoO+aYGAQkZ1lpTxRWbwH/sO8I18cxYzFhlzzidbj83U8tKXjiacMTHSyCR+PgjaVK3hI+PHkm+NRJlUBXkqrcaSZPsVJBVbxI3lT8c4wdrqAzBCZNMDgTDn+3P/HxRsydYjI0G8QqOwmlyZ+M68fpb0bMy4nz7eZl4PfrJvPT5qD82/XccyprOxxjAlJr8f7WPO7mAzysqwbJY+DWbmUY63w28pOueCxkZDrSJPP3g4qc8mUKne4/GoiOPQby+dGFrrsuj6DfvFFXSfxvEwYu91DHtTFsRnB2IYHHadW1rGc5P4aebqFDiwXUsDzo3m9TVCm05XX/ybnm090DvkWi7lGFp+cOy65mOxs5r8GX5aNPDbCRiptnIsOl20cdS2dfMJBRDJM58f3oZt49pTGckwWlVXwEnIu6dIVrwycU9A8gtLNuGqa/y1RWgU3FkHY9nizrjjKo0aurHVBhRsTb6gLNvI6BSlZl2NZb6LASQRdO7j+NuPN97uEYxrfeVJ6Be1bBZbypPoYf9p8wzp4zL+SHu7W3fmUnQ4ooBod+b0lpvMH+rULIu9o6XbOvIZgfFgsMBWpdtXF16DrS4HNt0UbW/9KJHzL6/VCHjQ2UKsDXt5xDw/sW6BOizyytrEB1aLrEozqh3LQreJGf+DzGeCUbKNOZhFOPu/Fgee0oFRk2Hqa24d50X61+e7Sm3rxnpdFuLshzjL/I4nHn/R9mjLd2Zb4rtMbaFP550autnWt3iH4Zgd2ul5CoCnYJrS3dvUYkWSl0tlMY39i0baUZWdjk659JDdN4IooiXkVvgYrjRevl/nAUBa67awx99bpthzQFHkShC3to7aWQCUXZT2/gM9jCX26CK7SosrbhTcP01yQMGT2YrdrzJn5AuCFLfKq/NjSn/qSN5Qk3XgXnB19/mS36tbmRdkqrJ+ROTKsukCjQRHakPyfwePtlWUo03ZN65p0M3a7wOfjwKmnG/gv5X0ynhBW4h2H87D8TzF99YHYX5Pp3a4/TLjq1SfMFg41Hp9yCdypgedqCwmhnIKNq0nNwAPqZGExvhu9P5qj21z5pG8wsLqJSob79EiBElDG+givldJAGDEB3u3EW5WTkV8tG1i467ZLpc2j/8AA7wxPrztw7QJvKvm42Cb42OKCRXZ3n2qfp+UxpyvtxFT4P61kBSRC4Z8mh8DkpTD9c/6wf8a9geV+F8wrcjk1SvfyQnvwLrYgFdz9hoknlQK/aIu0O5rSrqJufJjEnUqvOsaJPoeK4V2AgHP0hU7Dp73XjRR6MvCYr1djXWd9fTAUmURSYCIFSw8p5d1xlVNEj7kTNhnL49n82HfHEwP6MuDgynkD+IeIWVPenw3sfOC/7p5cphNP8rvzXY2rOeajHMtsx3u8Oz9NXRL5Xac0uIjQWNcmj8ncGbNjT8ejuT8yvlPbo4zTXkUE7qN1OkxcLdqZ4GJwlWUGtK37LeO66Z+r7uv3fLt4L/I3+jM1uxk7WH+UHbtzr9W8VN6/o/7y4LzZdUyUw4Pd3kVdIs843TzwjpPhkCcFXJAeNsao5HIxlqnu0Gmj3iynocxC98dOYAE5Gno9t7HYRfEx6yGWgRjsS88NPrMQtAH02uqOtdXisggWi2S96X2ANoKItAESxMnHEzxjsJjxb9u5MnNI7y3Li1DgTtIYWx133I2XKeMnwQO2HwnIO3bRbgi+7Ygw0rDRyidkaKQ39ivS2vUQ28r4yHjQiQkJJtTndqyflLMaL0lHw65LG3VHEHvVx017525lgAsr9X+Q4MzPe9IF7SAIW47XXkyWeL9Gl4GOeblvWIHwc8c3jb23Yi/Ms+Rh+L6cZNwCv8cTFzrVIFDGy210O7rbXye+ZSGPiCv3NUFe7J/kM0E9XfDuQ4l06hqR2heug7tyRr5JW3Vj+y2rb8dOlsft6Qzx/8zX/q7qaHDtJrKTXpcFHLCDp26UqeNQd6a6N7qsSwv/MnByO48DMSqynDuJ8Vlt0Cv/tFOs4amWHtBfPB/Dp06wnRM+4VjI74u1I9B0MG80v9j2YyJ5ervAb4zszRgQFbrfeGZNonVM9s/FtirK84kAI04yQRsI4Ec+f9XJ1QEDg2xlXhLveF6MRSX6ewPRZEoG/krGyhxDt0HYp7KJQZx552TgmmwamTyloB9YT7N9xP+XupvvoJ/jeaEL2S68DZZFOWvk4cwT4+Vt7hgv15h0Cxeo/avFmH73OfPhY3vklb42yE78FifodDz4qs6k4CgHf0OWiAguxk1zGW7PiwgvEg65ErIz76xdniCyQzlsf6lyrmykacaEzDLYl/Wub7gKx2UV44JjSup47FK/kcW8xhirZdctBl1BKHU2NW9OQX02N0ktdsaWRub/yz2pbCOsaLCSv6xfd7hw8jHQ5H0UGFfI+8SPZF5l+67l5RcE+w+QvgViv8IUR3yhgARhLTKErQdjBzPqadPYiePsIJ1j5buKyKdGohH81U1ebHyg0sQdVG6U8FZ7dBRCaBRlNgKURUhpNV4CrwaONjAwv4ASG45xm9xwOqE9EHjD9pb6sS7ML67Qbhya5t05gofHu+UjbWiylttITSpCOwfbolmRWpqJtHSLvLQrmPHxSfWYzBc47hmOBnI+P/wovQijUR8AAQAASURBVKgIDIN3u44N+gSKUtEpkGkYC9c16/C8hs+eB+q92idhKE1j8cKFA1MZ55WV0L9O31ZsCuPtatzkB16ZmMDip9OuQOwb0AxgyaejGG54FJPv2HXDSM2SkXPJiDkuDzS6wUAvAVjoi3gWCWf4+DzaDg7f6UdPjiOkcqMBXxGx7yCP882Rjxv1yfA4eldkBnJ9QDlep6bgs77PY2yDXr5b0uvEb077NACbZ5Hp8PiuJFER7Vfhd2NgTmhdAyn0CMiAMmaddjhuaEx0des79bHDgzZtF+KEXsnGV3IOvP+AzgEDcLVjHCVqIvp50MtpOHZMBwEYl5Bv1AZ//+51SArKeB0iIvZpbEJcHXsKVZd5V9CfRffpxfvKtHRZCLTHneJXnRZHtvrY4eOFUW/Hce3nxd/m481pEbySd3Eyz0QwmOUBNS2aOPId7/xh/EFgt52M1TxOppzjPIvyIlMPsZwSickv5uXEn03DOPhc7BKkjU9MNIvS3Ek+fff06ePvyu86EvnKJ2Xw+OoVftGv8H7W3Suo5S48pkPSw7XtKYDuqQviOo9jvVRX0M5lFjNco6vzlRPw3hdJmiRnvKTCKwAOv6E9wcIc5CG3vdhltGDpasPQyXjFgH9nWeY8iDuK/EqIXTsJpzLuUZ8MPDHg9y29mFTFJ9o4cB5BWOLtWbYBB/YAprZviGfKe5N+cmrTzyv5OPGDOlcsSHgVXQm20O0EddKjGSb6RCxTW3iwMMb9jOJ/WaVBWgDTyiopYzW3YX5rg54wJu9GdRd02KVVICaawTTgclHxAi7aJjd4IJ0Q/8QfYMtwENBlX9Q/glkdvmVINLwggjJyfYXUyhZJvCuu78d4cz+sOTK/3DOOQKTHYYsLH+OJIL1t3ekYnDcm3xeyB+wn9l/WdQvJvOznnGC32qg7HbF65ADTyj4K3V34Fq608TyjPh2LJxPdo31DVmjmMXVc2WY90qPY2ZI42ZrXbydca/6lP6T5/0BAnJ4NEjI3ZLA4czSq3Q0ZGx3WypmFfmr54ibN3ZY2d78PXNN86JF/k7wfXcmLL9q2dqgDr6SywTNQZ8IdH2TZ7tXOuHxs7wVjLlgYf286TxprArGJR1CHOFrgr0ewz5sGdOv0lyh1+053vNDnlW/mftalndB9A1hGeRRsrZWuvN4xMkwIWiTc2SC7E5MKD9r0DVE+2eCzzaaPaRfZ4CmS4QJN9L7Gfg95CcFvL84+H/D+7dHGu41Ho+4ljLZPMqykt9gGbfCb88igy7Cuwut1fCY+4nJJb+Z52WV7Xk0Nrqs6eEFb/HZKoJHdpf3NOLfhD/2s07dA7M9T4pUsXQpDIK+YKcdW3QQn+f+r/jx4REDZYzBhhWJnmDZ5RIYgAUBTqGwczDvQK2VJhnnOY5FHEUZ7RMHE77bu5tuTNrWBC5GBnEt5K5P2yYBGI6oxZnKFgJ9IVph3bRjBtmW7GoM4vaLArRs8q0mT6QQAFHAM8E4HFTIIO9x8LEF7w9AjY7ZMDu0UhG0UjoDies+Gx/auueBlynOoyDn7IBliKBMa57nwxZHpivIgrQpvnVOd5QDPmLRiWozxxk438jAH89xpZwOWZRreMZT+sPpjFkhSd8Er5o0BfFRp97ROuK1PiG1U4jX/I15O4xDyFQOFHTyiyaPjVbiMTCOZU3EieKw2Kejm/6OjuZvwoOfOMSr48K9AWeeRI+OEKfVJVNI0atH+VG30mfPRAs5C9gXuMLbRMZ+OrKa84TirxAIqXLgwAy4Tfwwip53NyfCWuN8eJ/683tIGHz/Iv3h8j8tAdtKAnkwHTlwmdnvBONnqX14I18rt8a1UvoELeDOckjqhYfXeecZleb/Ror4Y2ys+BHxiFaviu0aOIIi7kxqon0r9T8bcri8Jl+ADLDd4cDVxuHX0d/p6VcTlucxxG8/nirEgkZyZckvT8x6JNeyLJ1zH+/sNUMJn2ie1vq39+S19OLHPJALjFVPSoX2fXhOq+dsy4IW2XGeybk5T6nDCuri+VbAKy6VqHsoFtz+fJl5sExWSTs6FLsty6XOzThWRcrcb1/c00URt8asWfuxtgn7f9o3zCMoAbONd3cwzJEuWQeQXaGQ8Lja2RdiOG3hsm5V5h2ZS9Slvc0Cc5S0vlEknFZVJ/E0jpB/3etffLSCqtuyG4u+1bFdv8Qvh3RLeDkf4Q9jh+7gN3ebNBDGCgzaH+x6R14t7GbCBI0+ylScf5PEk1U6/0b1K/nkNAhCN8N2L/cplt/Z9Kbh4vrNdu9S0M8Gzaxxdp0TVHXVoe2G/iZAOaGy1pbq88wUa2z+aw323kT+J5sBj7Y49KBO87GPgkLR4YTk30ODKeOSFKgsdK4t3BPvD+nLDT9ujjzteYrjIGzS3n3x5gXwPfIple4Vp6oTWfryRDu76aOJFZbGawd9p0ZII2Z0wZhjP0oirvqcnYr6a8B7YbKM8YJiHJlOHO/qULx0N3KROzqT6CX4JzHaJeXona1uk+vwv0RXKdgu0a7Evo+P3lb4FYr/KNI/6DKHqE0J4jG1zzNS16nGsPNHpQMjYCetC8LrrSq6VS3zX5cIRMh27h5pdfnhPbNwzdmS7MXaRobEYsLEN1/fjnIq9HN2wGvw3Bma0T6QcCVyMwROOTl44dqgcp+K0QtNy5G5jVN8GZEd/icg8flYmjeIuQN91d+RVtZdRdvXtDEoOunaTLIHwaN8Qa9xvis6A73b0+tJOVKt9njwPS0YA88Thu7m9zDl5wuF191GYahwp5Lsm7U1jFd+VMf+68eBHC3t/+ZFE8s7GNXhTlvtmEO/6gWMOeaK3HLX42VLZOcmNZYj3VAr/qK+w8yCluWE08dZBTxGJ4K3/z4YZrhA3WAlZxpzNfDj5zwY2tjFPBomYXhNGpxv2aPTR0c0YWGdjT+1iY/uUd4Lhb+R5m+1h/uqcZz+VgPvaj3r1jByUXdkIgdegrb7PfnZd4MWdJse7xM7E1kHAYUZ6I60iBxnNzuNJ7TuhP2M1H9PAaWUyd23RuGaZjmWOz0G+i85wDG3X/6ITlyiYYDtDzHdMp+uuROeDYZDH/YWDTJ8nbNcVbFyvJlUDV5k0ieN1aVW8jHYn52fIiZY3Ub4eU44rvffgK65gFp0rm2NcNA5P7Oqmo8bRITv+H8glpKXOtuhPgKZ6tUvfgRYy+uLU2MUZ8gblmJ9oQGNeuF/936AJ4IjyiY46TglQznLfJt81+rtOKkAAs9P32L/MO17vqBPpHniNOtDJjnEGcoh3rnudfkpEN/kxJ0qckE0buzYJwbLmncPd0NIOnUf+E+4i47QQPFVgccyZ1x3HrTV3bM4TDXTmDTzq2Eh5On4s+s4Fyijru6jBtnFbMukAEcHdPGlHEKLjdSItO942xz3L4vj13eXntMPKim9sW8iObJ/IsXaNH02Mf0v7ZDQo8P3wd/RwPsr50iI2gbE/ZIbLnTIJx1V1eCG/g32UJ7dz3gTfZT3K3GhvLTfxx+8PGYz03mpnkeOF3/jXAC+mW/EbsG60veRqx9I/XA4om7LeKj3KSUWQ55J7VoLvAdrljizoMtrRBcUY75af7hY0e0AajyZe7A5JR6k3PJKOciR7yuUcPmPfJtvB4I/xIB3d9TEu+SyLpzwtYCcbPnSGxWI5vL5jB6/AXrybtuj4B/lkdVd1mhfIsiDQgd1P6T3JhhKwAT+L69zNp9wlP4445rOG/x+B2EPKiVro0xd5CgGqkA3AV65ji6oOmTl30Yu4jGpkcviCTbNNEoz63RJ/8nG6CR/uy8GLKM+jLTsbhOFhW1ocgX6NXN3O/1GdaVwTfsnnYjnW6ptR/Mj5eT7I+wb9N2WYRr/Nt7t24lxr8hE7vX1IPpnFZdpZd56xjejXGAmMkfOTJD0abeB2jDxBg0aOOk93bQs4DFukyCsbvJp8P5SbabwCAgYyqbORBMY9yyYRwTlUx6POCfQCCWFs+xt4122li6bOZCudwkpl4ph0KC1a7ubxSgvcDuATdxq8O1uCT9uJvkMTkDeD4f8sb3TyeTk2F/LwSRLx3fnMJGIhcZzuYtFue91O8Eftk/aKABozyYsCXkryeSVrSZ7gZprlol/uWLRfunxYd1d/J+c6OJ3so3K4EKl8D9vgiUL44dK3QOzPa1oMek8sZHaTHEW4/wBbuee9tVmg93mzkdJnkkeGtIjI0nGHFUF9uaxwmE47pfjoWyc4WoEDxAhjV4ps2RnXFSbhsnF80YhJTg/x1xP6bPtUG+skCm6MAJFbXmCDK8Ne548VSjcBeVxhvsStq8fvcumUNf5Pxl9x8BbfIo37MNu7eXBMuDHYGIV5oYIWOpruu7Dl786IYPxEpuOF5SQb1W7IdxN6e74jHBlnU/F7SVZHat3Kqq6uJt9yUsv/5bF4A3M7CWFkCH5U7Df8nnlFwsm8nWzveAqdLXjPZYJHmj4sx8g3MiCtcu7wvMH90QTApj+6ojt6rSYPoh7LulShHB635iuYRSWCvogrt2vVztvxT7gt39N3XADhjrSI2zgk8+7GuT3rp5V8XYJe5FFraCfySE9vA8sN7ISLSjiIa7tC9t87PLl/NjwSuKzSor/vUne8MNYZ+XYrpjdtfnSvzZO00nfd//huZTctaPzh9MAWv4fxhTjcwfvZ+s9fZ9pNuL3A16gzPgojw5sAV5NWtVD3Lr9s5bnVfJ6KLfkEh02TO/vkFiTK9p8mj9OYv/Wz78B9EPe2v56WMat4r3i+2dWzbK/rTbc3RLZ6JhbKoI1L+iy184Ftwri2WTe0isVq6O+CH3uVt3iffld4P9QRj3kBbLiyEBm+deWewHYbj4PrDGdn4yUeQBgrvmhs5stAc4BrG9UIHz0kFjl2pDBd2DaM85O0sC13Kdnc0Kbwvxskvo9FVruFMO37lWy9kedXZQS+7Yf6stDlo6nx5Qp+nY/00YS8+aStwLPs6wc+DNvgD97FXJuAKMJpCZRld/jz/7siOzm6CJDtT/p5Vm+X1jrpy4wDDgQvvyMetIA3le/48KPpyTiUjT54pR5IrAtXR3DvYHzv6Q7+7vuXunBPaUD1PV7w8tH0BPZX4h9+C8R+5SkE9Fgpb5+O5QQOG0DXXRbj3bg7MeCmSnAH39wtibBFhnJ6J+OWBTmsqp4rijNe02DrB7LaMNDTEbMaSuJwWhyb1Y5Ql8Msd1yxkoKJAsTd5NoFgIojr6LVXNdp13GwR/5WV8w5sHm8oInM1edwp97cheA4Z3g+Kc3BDm93CuCcwCnJCcudUQKrYwV1rOY7TM7vdMBQMaCv7+gIuqim9kaioC7SpVsJltssRZnr++gX3439LtcRsTb55fwEfAN09GDE8fnaMS4msUKQV4fi6kLEc2WAVlpCO6IOyw40whowog+EaISwua53MKJOoLfZcuV1WTShGrvmyk5EWA2bArRglDsf40RH7Ng+be6Awrq5XWXHofPMoMVpzoqBBx6x6jTQd8l3WbsTOVYin9i30U8qdgxv4YhXabylu4JFRN81xsmV1yJQqJ/VX13plLQadTbax7zWO4ct/88rT9sVYph/7HwwzTK6XVDh40yn8zV34M685b5lr475xvJvnVjL7UirsvnOGegvv2/Y+yImy95y2bzLGPSiXoWizYNOd45vrIDGfsBxTGMhkuasqd0o63GHILR36uaeJqFLAfb53UWPOBUAVvUXvLwf3yd/2idiJeD/SZcxEIZMC7sCy/EuEpCXqC9Vhi0DO3ivYOMogKs4SdZOnThkRBABeI7keDlSa/BKNy7QDnD9XSWXhH6xsas7bA3meZJJ1/8bvemPb9AGr+ttjtEOH9zR6rtzvc50726vIkJmdHYHy5pI0BcxoXdMXHyFsR406RE8BjiPXT+hO2Cnv694npPrzT14INNEJDmi3RGu6R6b9wyvvaOOGWFFn/GMC4r8LrjYrW6Z33BxAuO+rIPwMIUHwXfwGuR0sef8u1J+KGOwI6+7piIt7OPFMk/a8i3NBKe3FNkhMul8Spzicb2fvyp5HMcJM+4zHJp9H04eqF2MeRHQR67D7JLL6YhzkWl7kWzhRZVhjxiUw7TbWYmoL5p0fcztKTBwbAjwtftDJpWHN3xecNF6LZGiLZ9gLN4DrLtgdt7B0hNruXh0Q0emGdIp4cd5CRf24bMPpykP18279LFvTtrJZqrCPnecCIQncRAfllMY3J7zNgfvW8JXhxG5WkTU8VHoJbd930Xk6H2FZRDWy4sEjYu873hmt2C3Scm20qw305UxjJtN+maA9Ay6iO2S3B4eqxlGnN4ydr363Es+SWiSJPHCcX3EetC2LGw9Arah010+i4jZCIjgDi+kj5NLZ91pAY3Bn+eTWS5oMMElGZR4FVLSETRey6lI3N52XEMRk7afeedT0lVK5bzNK15cfXN9wzvIQR6gb+R9U3ek53ZWeQ7ZG1sw2VWIq/MB+JvFBmt2oPJ8V+JHpfxd21HuoYyExbxRl49xGse4YMn82fFpdjCmcYnyqxnz7fzqeb3kuYXdVR8xB7uzBZoyCI79zydzdN6O5L/yDljXP0hbobYhr3RynBPx9+yHca0Wzr2SPbaE1/C614+8h9Uv6d3ogijbbWBZ5MUdrvgsAvzQyDT3jcsOVAF964FMPkGF54Ho/6SLdcIrcxUtv98HTtPu4U5P4mM3rjgfjeMiOxDXu/Fjsse/sU9KO5ivG1xfGcc/ZHq67vRb+pGnRysPSECL1IFimv9YMCZYLR5PEKmpw2Obd3WkjDv5JtI6iF16MBiX9GUl1ymEhWJ6vFqkCw4THD3nMYR1Qtiq4cJ4NMYQOzotalbzRnl87PpsSdPszFx5TdrV9g/7+HYSBY00GCctzdxARHo7fuOvTMIwfel9R0M/kz/O5gcYAQeNMzSsHJdXUhNM8PciUnbBloCoSjij/hc4+u8DBVwSOjfwy2Pqbjx1K+fShHVjsBZ+3faXrNsKyHVjtLTF63iaWlnYZ019w/l34/OJ0UIyI8kTrof+2kUK1O+lOirXObTtxGiDr3FdMd7WHbH81uDBwRH+VuoHvAzLI7yB50pHLx0ixgnrwV2wHhzEv67fmnHZ1t2Nj4WxXnbVU31pghOPfSv0fMK4Td4XbJ+nunwp/xn+gibxGLRT4I2+na0j4vmfyORVKjbCPRFuJ0qlHwv1KELQLQ3+/YkM/KKvf5nu9DPkaWnxqO19Z3QnEwT/48QXBmG5ro+Z5ktc8VsKmO4CJTt4qx1KT9KX8PGv9fTiLED06+qIUZG17bnYOVP+X8Ldf34kh3e28ZeMkS9MS19bnuuXNq3a27zrdPbWd7qt+1m20vbic32/HXPXphr8WMjzGzhLmy9lorwfTDNw0eglzluO8aw6rPj/HR+Rz7iyYZ8ktv85YHfn43Q20HreBvKR7fpUJhV/ZdV/pK9XsFa+KPsOKd9hcyHvHR6I88YnuPO5luWad+0R0t+jrn4Er2nznLd5AH+Xok/Ip8a+usPrldThfNfXd+nFfu7nXeHX83gQtozRDZ4382Teb10QNqGz6leeh+A2uAn6qrrZ5Me5W93VL/KSnvtSW2Fnb5TU8V1a+Nt8/xEkD8a2Qc8mFZ35go92AcCMT7EkEL5wg/Baz5f3rx/PezyymTffdm3+If0yIx5+db70R+QvftsR+xWmMDhhsE5hTyuHUaY0K8qvFVtocaPWHO/Hblk24jp4Cc+Ngx+KVGm3jVn6Znr97zt+zrHr7hKuGe9YUeplsG3LCa4r72U4sIUwaECrlpMxQU5IrLgFp4XP4LfRPRjsxvfRHpUIsPp3EZk7VqEc330a+Q+RunPDM9TJvSj7psIBxbRyLHYgM5yrQXHf7znLOu5Y5wwmAC8fKnH0heUVa7xDEx0/blfLfzhxDTj4ij01uXZEDtql1ctIfxL6PhbmzmhLiiIF2Xw3TpcMeBsVTMO+cW8G3hfHhiTvaEUe5zvluvuUaOzPALBC/43/x4SwGw1XMCcH3xOPS34/5Yq/HGvNVMQ+aTbGHXeAz/IJ84SDAOMk+FMl7vVpnVCb41VAHtmbyPsnR2qO/ytwZYknnZ/E5NrtanLtGMc7dM/rW5bZ4/dNxNI9r4Cfj0OF/MDLV1/k8aDNDttyZ/Sblivlig5w3MkxCn58g/w7g8nHmVTDyj7RWE5jcdKn9B3JaA7gFVijDc7Scd/2uZ7Qag1Ph4PjHgxGr38pWxE88ByXdXzjTlbM6/zwJgWnJE9AZkRA501DfgdOeMcvjw3HHe/8aQxk3AUy+0AnbmWnkgxnwqZcRD5jOY7tg/+THBAR3IXLwijvqMz4zzzcLijjepNWcPtYUMQt0XDusJzyrt4lfus4p93bIjYKMBzHe4lX0H7CqnXlNsS/WAfTrms/wvNvqC8jwCdzZy+sLkZbsN0xowRnkUxVtCAMdGBe4YlryJNWLdvUiSW/AF8K5PM8Ic8dcM13/GTCXk5Msiw8NPQRJ8c58nfwaAeOiUgKpNqUUVHFqs/xU+p3/4cybeB8S5uEO9TLNxEkYn+s4pCbPsZwgR6dmLGaBC7BC/9d8Svovp2OXMnHMgmc6sgvdngn2DjWuvSAP69hRbvZFnCUfrHu1pfrqjeR2KkMcwdxSsWAiT7Xyu9I/vB45kWy4XvTImKj/vR2cnvKLlOVXGdHA8IRU/gdzQJupf7ktod/uEiMVxuswDabpBMZuP62HTb7xuvo4aPABTA4X8LfyaZK9QnU2aU0L3TxQfH3bmyWoC3seC33qXY7fKB/JrCc5zbwiLDI7pv3s0+YHCw15hGdecJW9jH+BmVs3vh7+YIDDuLENjjg6uXieWcfYt9CXd1usZibghNUkj1PfJKqA1ups7XQF0IYiWZKXUX2oBHdKxJUH/e/w1ncj5vyNDwT9ozzSnPCV4e7iV58NOh/7SYctlZXxuFZ/tbW07TPcd21L8HhuqTnveAPKB5iwu9GfpttTCdNad9/Sa86v0F9iF/272zasZ7XrpPBzMuwTHe4PhdzDnAHNezVwFfUY0mfu/zb6ip4b143zP/G925ufscTIi0P87esuy4ZfutnMp/iWOP2CORbwOL5EJRTtzg77KhzsRvUeabdkLGWWynPnR5xdGKuHxZoeDvPvm1rYBnmLg8nxxnnk50fi/2BsFC+SSOnuF4sI7Uvl7iSvXGrr72ezoZZ6YQbOfdjSN8CsV9zao6DEanCphU+/giCvkBSFXk/0/M0PLUcQSrSGHdFW0saGJdibhQMfFdBhSkhzNgpa404ka0ySkerboyYCGxwUBrzggGnojA5mPOGgcPHLVk9mg3LMC15Yr9tnso4om+2lycUAneHdwB+Z87v9EyG86mCjjji0yl0DhrWDAPuey5TcHa8oa2YN9qw2bVWJi6Hsk6TCqTEHiXLeXESQs1S28o9OGBsRllva1Jw88hqfTeRN83Bhs2xwji50/YDl/W+FWv4XePZL3R3YyPxyUpRS4aXjtp0oxSO7TIZR8wK0KUDBzxvUo8+jfaX+ukX2huG9SlXgPAT5FGZQVg+ilblWrlsevn1wzG/HBWsgGijLvcuuVMcYkh+bG4YUMBnreFXArGTRwM+HpfGdHK4fpwWBMp8cqE4Upt7GYMnKdAVct/xIH662i65v0C+KPUfOm/F0YV2e4A5Gfa78c86gfQPy3HDvDJptjQiEVXNskJNrrujKA/qS6/UcUOeCAfax1pDzxYn1MHg3KbvUGeZaEW5y0dBw4TY7hieVPc7t5XlmEgcJaSAR4Njcv4xoS6wuiNEO2sf5OdB/F1xdHmn89h4fy9wTYGO+qVOLuPkaEzgQp8nnI9Lzx/dBEjUXdvfpsZOeVzO/8XFhIm2Ku5UFnmGfQZ6dln/xvZIRTaB3SI7dFFmQbuiezb0YRvBZB593C44ujuaSivMtk1Uxt8n553tzxV9BMrt+IvS3SRWC+9b6tOWzitDSpJuvAL1IHPoWhs5TWS1MPQBHoiPH512uwtha+dvvm3rBxBhSzbgb0B3wWD2DVYpBcNWNHgQhL37HnZJp++4OrC5eLFEtM8Xhw5tW+pC3DX7pyMnITnhbwPm3Q68rt6UyRmbhT+h8VDG7Pxxx8Wv/Uj6YJN/NzdR8tNE7/K6EqoDP6egb8nsDNANBqZhzlPlftZZoZdwzPv3hkLoXzCdynwQ4VXsplR21m0OHPR7GwjU2vcru+waG0MuQRsQlwuWzW8bWBHkE+1ly1OfQoDtVbKP2LED08xpRJWgfEnwVJI84XYVe6Hpr2KmLNj2iR1R6pDahw7DRKYfqRV+8Zl1qFHmLUgHLsD/Kdg0Sa6IRN1lXBQfpzGHVeYuWF/MS1f+LAMtnd3Ztd8Xa+OikkF7v9YlijG/yb0N6TRIPucmlQAe+maIh+P6gTRl88af+YKEvuIrsDt56++9X27zYH3eX6u6gY48JnEuKPoPNuR0976+lHz8ro47XhXjupwufDz4li97X+42eLyQW4hH962Td6UuwLnDz5jnvb6O7AAr5sACUJMf8UW7mOTGchz+CNO3QOzXmprJu/ik+rKQngOHnJIxSYfBN5ExIN8XnK1SJspw9ywHcrAtaSLfn3XumkUBXoQx38/p7eiO1HHHDiYQjneCSbsx506XKVy73TYlAEs7l1GxluCD5zumA1uEGhmsCFtyFikBRUwIF2CrSQrEcdBDJPeDTxb7irgUhG4YMa0u7hYSuDHVBKaT0YdtbHaHx/0y4fA0DpSvwg1FYPGbdgyqjFXMVN4/r5wUzNMEWUVkv0MW4YdSozGKdMJd12PsBg/jjleGLSIGOxxiN2BRZhpGL9+HcuW3eawp8NdqYQO/S8+4495xHAGXc/RZCeh08Mzpq8loTxPhJm3fcFIb90T5bumfyDy+VbyPr/ti7bBrkULAv/4/v7PgPSdwCo7h2LL5h47ONQEP9qsOdtDZ3rvJvnPsMt4GxUcFZdx415xALgWZjXBM5liCciKSgn6+Cpt5Yy5gyHV78LDgT7qKdZGaiZ0NwwjIc9FrBXvwjsMCmZzoa2k8nDJ3RXrf8W5l/FYmYbAd/hlpAAl5xnfzz93pMmnqeDs98F5ZGeP5kNQnDt9wNX9GFeRS3xfteAIdPlkNGwvl9PqmscgAwKPePEidjDGXgpn+qew0yWPG5VvcTy3Vbrn6aHRW6I1ZPlc4v3Of1iNzbeoaqvPCPcuEdgJr7EZKiWWuDbAn2TldupPfKnWC8qZ8i5N29PBPI0BrUgOHLJ9kwtmu5k02zSIf2QZ7B3TU2SyCismdMSZ8jJddTIiX1433xMN7ESF7ykH0kw1pwqi5w7HcYdv9Lx1/1//LpBu+3/GaZ2c2eIE/v6UXEtw5KCJ93yT5o8mevN5BXg/C4tjodpWj3umqvJncqXpzLlTJBRtZ2MBFudn5PCseW03Udwn1fdhKRCeUxRMPoOndJOIuUMZZcVcz44J5cBet4AlROb8+GNi4iCjwhJ04ZeKWdlvj75O6rn+04mo1L0/crezeeGY5OugSfQvt0GGfqZdhe6nYLvNF3A1rTV6vC+yFcgct4Lvj6RoQbxJ+O030aPR+44/PSqpdwj5j2NI4DhB8qW/mTXNh3aClRQPLhHyIOtbHb6ffFjB9MW7avUd1mUjsgp2MTvDx18vphJ/6HeTashzodbRvmX9FBHxmCHI8CWiwzN/QqcO3yIMb+yHQJv5BGDHl0+ijVI9IkccVYci/Gs+Y3RcaNu8LLlq6c8Le4YRlGl5zGK7j0J/lsdYBxS4M2rz5n86TvvxuZJqnQR+IaR1N7PAevu61ucTSOJyBpNGA07CpV10HPlwnLCadrJMuzuddwCstEjEpvoDDZH+dfdftghdufifKTGLBO7Nfl8q8afO92D0CgLW+usMRy/HYTsG/jtFX8nTXUOexYy5W9QBqmWMAXC48qK9ZVTV3uyc4lL+Vj8B//L7EAR7IV+a9dueu8zfYAO6PlmDlTrYifbo6VrJ9BbMbG0mX5zycP9mbrCe/ovQtEPsVpjQxX1aAKuVdcOViwLSrIsZRsWXiqttxp0PYJaNmGtnpQu+b4/YQl3R0RMo0K5qXautsg4roOQODUwiNx4HX8VlE3+0y0NIRrYSPO19DgTqOp7fvfQR0D4CDgdkIDAOJGgF84WaBoztxjnvq+2bCo66esnQM1ZW31hmffBffqMcnODjgp4C7H0kSQReDvkVYSXaqcGCxpZeDbHg+yvLuZieP14PZLdMiJiDRSMV2qcphdk3q71am+9gE42jyzPjOgddRVzdB+cRQi6CrTHrHMbOLXbHdbtlEE+Ijdjrj2Bl4F4b8W32X5EoYr+t6rzpmXq8HJ7EK3K4dnsdGa9KuodnH6ShRuwAY8gMmlQgaHj+56GC/zryKyUdvMo9L1YmXfQeyyL97/ceAc47g7OcxnizjHfjb/BTGldl1XC3JL6/Ty5wjiGmWacaOjchcCHPA2HZySZIVUBXAcZl4HhmOaS0bwd1O9vr7KHeFWdrjwsFZSgEMg2ceb8M5OhWcZRhTobd00lJs6rwYE6Nz0s53ok2SjaudsCiPHPdGjgcvm4gcIucn4iuXzS7mbP4fdUAQNjnO+B7Gr8gF/2B8iJ8U3hW7g3FHHrKaD+mPd7/E0eK8mvIU7uKMp/86/7h94BODMp25KMbHJopk3aVKNgTtmj3WtBAP/iK9BPUJ6DmDrmjojwt0SuDUKC/DgDyryRGEWSYlsVlI1yYfymHkL6zXd/mkoCqM4+WJLyMf71LtTo3B1NrRLEtB3kad3iFE09jtgwsAXAfTMdaYr+hvGlupHPcvjKVYyR0y2TJdrKlLMowLnznODHj1gimCwRR709IP84SLQTc64jjRraF3aad/ctjf0rNUfAdNvNpNOuYjwkG+McwBt/gLdBR8t1MgHQe/FNwT5QtOfo0TybtJdF4AMuU5LIK9QaHDx21bDBoWe5TqDPxgh+jSHuNgLAUxp97NuqL3Lcb/Z75KI+mHUWe1qZsFPN0Y5IWjQrRPeWnoa9MHDbzSt92VRMHHa3xXulCBjNl3nwQoR/KDrFaZ9kpcN2Scf8jG0Q9J74ql/kq4MoGC76ru4Odd4HWl9+M96gvsk2bR2SzcnN4BvmQ+XWnWnexJ7qOO5UIAbIQIl9eK720AGMuE/AA7RgB3k7z4kQeBw+KjkOOh6ZPOvuM8OM5J5nlQ8jZNs2W0R8u3Vbk2oCb1fdYXfZnkA8O3Ik9A3iW/dDG+O3z8HY/Fzn8pds4qLWg17diaJelExwVp0NXNNO5spuHrXnY11dnB9ueu/1RSENY4ENvAw6BntJNtWIeNMkBl2KE8OMcvBFvZnFR4MJGYo8FMkZf5XBAI/Y68saO548mu76HfRbItsA02Fp6MZaoJXpvuFqKoH5peUcc52VR8gWupg/H2d5AfeaXVO4tU5ImIxOlXIjMYy6dFJINj1CvDt1HgAdSrJu0C2Myzm06wqp+XG+hIhsc7Knt7rLLI9J91vk/X8SjlX/jFXh8/P5aDK9sFv9/olVT8iQ77EadvgdivMJlWoZMmIFNel/D1WzJ8dvcHJYCL96SU2SCICcvxjg1Mxis+oYIiB8qd5jh6lyYXXARfxu1UHslZhckpx4snyRMuh1RhA4aJ6tgNF5rFMi2GQ1vI3BhMZeI0GZYq6DyhQ8WOcUy63/Ut0gXh3k1wrZQlK0Yjgyo+dBbwxKcL1nbPDJcDAey4eD1pJxTgOh1OR75p+4I2ia8epLKzM01Ma98PuAsLneJD933W7XZeJXa43MBItMxKviNVcVaA/vGNJlYQDgeNWpxB7pSJLKxfZRr9qxXKA7eol/4vk+fnGJIuI/xdZ1D4O6enmKhpMrZwxXyRh2+TvyK4Bu2e42bWF7toJdO0NYwxEb0ZbkleP797mlDON/2FzljkGYbzdGpIiNnCUO3EzjjeN00Ire4H83biGGJ6Qp5uMsDi79JWfB84T6oofqM8bdCt4f3IC7ySdmLrfJ++C8HpdBX0P/NVwp916As8gnKhHHnFsFTqvdAJKciHaMXYsNSnKx066a3pWRtZm2wZH5uge4NOknEtQV2VIieLjRCVN7y/onnTb6UsZwVcls6kAB25SuYHKpuC3+mu4TrWAwwcI9UdR+XveFHUBa75xmhxANbx61YLE26Rxzt5UQ2u6va6dv3B+M2A7oBXVu6PsNPNgs2OFnxMldtqcRdlaTOVLUwA7en05l16NKP8La0XEsrQZT0v5IULX1bn7UT+w67sgoBL3AZf7SZIb32kVaJyRV+wTQPp1heSD9BbJMv8hk74fhtg2sEVsMnixWWLrcqXQHHI8EuBoG3y1C5Y4VDwLgt2mnzS90nnW+ZC+Zfta7X12EIc06LhGJMAi+UoonrCu51+D7505DQ9lxgh01cW37v2MY0TbdGGy3ZahiHFzmV4LX78jsZhsUX9s+FyDIL/VEa4iu/wdT53+9rf+7U2jivZFglnsLlau8vbuDtOE9qUzGauC7NTezq6K3/ryrR0J9xXaAM/dotHoh6eF0W4KlVON7zEQcDUHjf1bOZL/QXPHLzA9OSOSq/3qSrYze2s5haxnvjdVaiTLr74n2nYzrt1dXWig2RoZzO3wUu3WaWxMxF3qU1fpbmDUNcyY7S1pfuWjgudCUHR5cKbTd6P2zO9XryAWsDmfsExcKv/O1nMaLxg9xQdRT7idVof5O+uY9HF/6Wy/fOrRx/fBW2jjo/YgYu0vnMd9XAjl6KvVx2c4SWcOx3FMhPLYrkn+h2LrHT/jzB9C8R+jUn1Ov4pdlHBoGgYehmMHQoOJzOtOQaoJH9/NIPRq+ILqdEoRSOmMyD9M+w8Oj7bnBCOwJQIC3EMXLgpbYfI+ycRPVWOz5cz5rgdn63s/gx4FNCKlZvszJPhZxA4S4EUAzg6vyel1eRfKdWOdmEIupEOAaN0fKrDB7qV9vvOOqF+IyW9mkR1flKTucvHV16PfumM/+BL7yfYdeV1HafzGATi2fHxNr9LHPnDu7DLDj/PY4NOdh0ve9EytzlWNkumo0/GXriA0TZglt23MEbL8Sa+s/qko5K9rpNWSquIjPtiEVcRSfdBi0gEKAx2E67izcFTcIQUyxXcQYh8zbvDr3ZNmjrvdQEaNta6O6inQ5sNby970s4c5IMAD2PMV6bF0b9+XNQItmIQ1Muq89h3F0+Kicip4sYptmc6LhfDqgxZbhcCc+W8jPea6BA7z0eZ02VkHP87xqfjFXJTRN5nue4YK0zJ0LYJx/SCyzsh26PhUcaTvE7j3T873QHn803nkURkNPuK20tc6Wwr8w7VPxs5flzv0QpeD3xj+5DnAoyP7bQDVuPuJh87YuMeIAEe9J1CvosZQWO/D1kYKne0KyYKeJGQ5HeXTgOYksem88QJtI/xi1cDeBpjIvoSj5s2Ef1M49XhOR4y8qzsjJBbVDfq+Lf5zvOgPjcVOb8b33wFuE4YPjESNAgZeQ2stOv2yHUFmqDXir4zKOurluNIqvkt7aB1h1qp7RAUtmMeqzXtCJA3sQMT5NNN4km9jp8wL+7eDduR7pqNvIlOmukiknBluzDGzed57YO4DiEP5uInmixZLYoy0LcoIwIlUoY72eE8xVdVCNTh/6NcUhHmp8BLr+PjTYbdKlLsiZTCbpkyp3N8y07WMzU60U3tugYgjoAfgQLjhUguy0zycfypXdNWsZO/Ud2L/opvBPvDE06/1tNuxwfbBqhHNokngNMVE0I8vIWDxkVfD+PfLf7xX/NqF/qmm7hewcuZengpC9/jnORKD2A3CTl14cyUbDGjfDLHb5ff8YidMLBzkct1eLH/+MrxyAmXVOci89NJzlUwluE0wVmeLM6BWQk5moo1dsr1bNkO4raBPXJ9Jp8u5HSW1V1wDeV6R79ubmE5nvHY6tU3gl2C1YOWeM0Sy4NCS7Kt2QdM7VPknVlHwG3moAT7tJNpYRLMu+oxaOo4FV9ZM8wueRnzU2Z8DuSQMZchYm8XIaef6TapprwTXTrva7C9jrxex9IGdPprtlXQ52PasH+1HS9YfNU3IuGP8rVGCJd1UjcPF36/19HJkYWJIiJgi087yoBGtYBM3nL/uBm/IlVmMD6dbcM0bVGgb8GvXh7gso2tQvYY943OvmH627BRcV4Cxy+Pm7Zdbrcivo5fdwXJyCdEZ2z7nH8aV9OsaOiwfM4FaDTvGJ3Im8AR6ob5kVd0zss1qQaXNWRlfyoN6DEs16Q5Fzr1+Pxo87eLCRQazXp7u4euguhk6SahveXzDLfBZiibUCF9lvoP28pwWbc06ckx7HcnMvWF1nUzvLTj1Hn+IZ1LQhhUf2tzs60iMueDumB2V98uD9tWzANPYHtqcG2/rfL8jNJiH+W39GsibYxGVv7VaXsAHnYjXEBqnp3QvnOKt/ljEFt8Y6f0Dt6d89mXyUqhfNYMF9/vjFd2VNsdLgtcizP+PaWkgEe7OiOg4O7pAV7LfqJ3Sz5aCPNV8Nif0Uh6Fb90Dxvt/Hh0EfkK3sN0BQ2tdZZTHnpmHox3PCHvxqbU9+nvYd35Y/OO+X8ps57TqZtgm84kjfsFD5Z3JH9angGj5Doy/fIEOprcyVwjeqc+5L4D+hk9L/uQ67nDr0kYeO5glODagharxHxbJoJS3g4BqTQ86numS5kcEil0vhxajT+sozZEBI/w79KOnwrMThcSnnft9MmiwkMGf12Cvtzi2eGF8CnPaox048SwjfQ+jQ/SUcvjane8u0k7vb6Ft1o8JztdR7bOHX40JkuQnWVKKgt0U8RXU5nd2Od3Lc4ot7qFf09Sqcfmex6z30dKNH3R4Or4bLWb5a78bsLmcTBMaiDhQZkPB0afkKvh02/pB06v0ng3MfVqXU/KvjrOUlmub13h0hcptiDImEV9d0GLp8nlPfudK//zS8bn9+k/8ukO1+89Yivce/tolXldD9u7S/81FaL/u2d6nyadHwS6XZfg4rAV7C5Vf2XaC9cirw927sbPjKqU6Ar25ctp0w/bviLb70ngYH06QG9zlzko6pdusUSH5/L9nU1F+HB5bn/pl0W5Dpdi40n1xYot+MGUygNNu7mxUhf/z3+yyNs9bxIHbm/rXeCympvp0mO6bnRCbsTz527+ofAU8+sr9toC59V8xG2e5l1Ha/811eIf3terz9oYdKGMqnsdeAP3Zf289RG+pzpS4VrHk/7cwUA4X2pLZZia/vpMq8I330VetqlXCxOvEx0/2CnMfhu79WUavJqHcfqSvnxFxnyJ7/A9pW87Yr/WtJoYcQOlW8VITo+95ZWfaiL6kwH4mKt0ihIiIRCr6WA1ZrzzVXhvcyfEFYwEtHB1BQehul1W2D6buyTKpP5YUaifyUAyk+PzhBu7VZQc2tgJY1M5ggGoopHZ64tdkqMutelsIK1lnD+P77vU7SbsdgX6bztPoJMmaaX6rbEAHaWZ5gmGTvy8XZ2Bk1bM+hFM7VFGs5/udvKwwY2KXf1+QJiYLj7G2PWa+tf/9V1b73kXp8ikY3IOAqdrZZvvRpSx83H2NxzzF8bmdLIZP+bLlA6dO1r1GtPdarw2QAUrnltecHiQfPVjl3y35NUefzn6vQOPeRyftKsLfuH4KpwYDrlgk7/SjmamgQ/ZzzJ3P3fGIOAdu/s3EwdJrpmSLBx1vAEVTh13BcsyWKoqcSz2dXwk4QarfdMJBCpiY1fS3LWLM0AyabxoC+IRbfBvJjGJEsETy7ThoM75KY8VLJeMVp1/JShpMu/t8MAm8JwowRt451MBdOz0GnqLZHN3v3HACnmAuiHTqgsKBn/CTmQD+Ne90xdu53fXSvjYAee68Z1o5rCx3UhDp1fYA0RK3AnruI8Vzeen8f2Tv7PYga2ftco+aOuVZ6FnkK6w+tigH9UkZL6+DxpAUNJ5rtyTK3NMRFvGEd7HT2abg/eRpkCDq2+mfHbccCxwPxjIyUlvTW33yU5ss8tstweU4dmQ5dDGdozh7iPYdagqcqLccNrL7P90tzL1K+s718mRRy/CndC/ZnLdV47iJv4fQGicbPk6tV0nH7puxTImczLM+QjGA+6mdXgIQ83yjnGSYaujiv0Yw4DpsBCGyzSBlc0JCNQhFva9y4FMCKg3rXifv3NleC7viz3iji1sO7fbaeN2rYnwwrTgA9xtDvo48shVNt09hToPcT8BDrRtOyG30GXf0k3CY0E7vdfQVU3EdrvlSgEuj7aRLvP5u1anypSpKXW4I892emmUQ/7udIuYTZnB5QB0J2+Fv+FiVdA9uS1w3UrZuWxtmy4dOGV0+r6BU3BqcN1NwKJfd5dSoDj6cIPXwKnzYdCn1HEag7mdJ7lPO5wTD8XOJJm2NZymUPjFCUsnLrBvkgKnHQ0A5vWS8qFsLKciTQDtrpxGbnYpy3Nt+zHBGadfRDpt3AGdccgBGZ201R7f3aR8shlSOfJfUWYYPbv9R/kjbwEu4v6pAe7FvgH1GfllkcdE9P1iPlO5TlwybyAyxtDPg1HtzarOPOecmuOoo7ifqBR1vI1nx4/w9Pwx10D21d3JMIgX0jvGmbd90IH1vOOOdD/eM91j1+xbtjdCfqKMWB1LjMEykp/JBw9DGMbZg7G0hNfYNCW57TzmOLrxEMXGGELcdgHDlf3k/Y3+tnIfdrsVNdPf50dQhuJzsrVxrvcJTUkGB797u2CM89yDaP4uKnRy1RBbWAcMQ54DCfwRd6JJK8K0ZF03vTm5IY0jIdpDuawzbKn/WhSLbMy6IOtusjMepESbVb/t+KLjbzQfmjJpY8xq7tyL46mRrA9CR1Z6trtmLX+L12TzbhcXUzvDP3S4ZDq199mu4D5gi/AViXnR/767yiThuZJ/Jkmep37mbzte6/Ks2vmQZ38a6duO2J+T1A6GjgFBqRQH1wN9C4U9n7UIk/mR/n/A7K1RvPouIlsnoavP28TfQtB2lbqwm0rnqUPT1tWlRZ7VxMOrCfFN/doIwB6RlRBfILSDJc/6MVVj+Te9Z/6F4z3aiRKqa4fnMtAgct8XYGi2k5tdfszjK5Nf3Y2N9FhNjh06/xCFwm/zRbdq2WUHyxCcMOpolycdkDkX7wk/vBh+53A82e3DExxtovGzzGMDyfG/ds8ZwYCp77o83mNRLAePDuiH7o8mPVrjncq0fN8lcm46XMN43ez07OCW57sxsOGH3TfjNjTP5a+D72VHADDoDjtK0wTUjhYrXbvTKy/qiLJyF/BDOiBvcZ+uxkRMAm2M4TsbY44rwO/JLr6E/2KCruHVLc8/GROr71BfoVdX5pGs17UOHjBYdy7lF9A02Qg0Zopz7rwBu6aRT5CXyhhb4HybVuOPy6+cwxu7bHmFR5eH4L60IvnJWMWxlvSQxZ8/f1F6yNdVh71Y76Ke7Wpzkds++5Z+wPSiTuGUAogLWN39zB/q7yd8EvC/Z4b64G7CrZ/xgXTnJ3xJPa2+/mj6kt2XIkkPPMXjVsdT3lQXvmMYzLNgt9zOA6x8vKbcagFQeb4dAy/S/clCi1VVO3u5+7957vzMgP0leEF9L52y8SRr0dnS9Ccg8miuSInv7wZ7hVvn8ejdzreRvh/aclTHLj0N4CzHXZMQz3J9Ei7qZD5kOpAfduH7AbmFPpY2dOc6UeaEH7NSoNTGOxsZ7ftGhu7GGgfXV75U2P3daUoL/B7Nx3xBYvld5kyk4dUmzzKVsaXl+ys6KKVdME1k7wvewfie0ivtYj4q6VUabXyL+SDtqT5pfvODJNrJhN23bly/JF++sEtL/a/OL7nf+2P0z56O2x9J+rYj9mtMh4i9+dn3dl2GcFyDAu96SHspQOiVYCHefen3RtKOjuv/8W7sNLlbmZDvp9MseBE1dkJAAfJqm4k3W7azjK+4852uIjJ3bXjCnSa44heO2PMViz6hoLjzkO6PTbtdYhcatMnb7LsCdLYlVh8iXYbiUBMxFnbYls7Ab97nTNfPQTuOrp1e/m62xfsA78GLCx26dDVvtPPOEtcc6DO5dqB2dwzzhGfgArSCJUJR/l3k2n0L92g62MMB9U7BtVoOdnIMOqS+4ybR6igOtPH9gfAp0cXrx/Ze8CWN2YLDadCPF33Krtc32J2+WcXs/RArUoe8MZdBeNfcoD/eteFtO96t1pV2VzVBk7S6UvOdvEFLchRc7pwqGlGIyQutEUiyChF3GqUgqMl1n6dIBNwuOmnser3wdDpddFPapSqnjtX01wDTd42d+twfEdzCNvj9mCpiY9V93Onc3L9jIzhsknm4OGcGchf6dgIj/YEOi8xf411SXcI+A9nX5gvdALpk7HpPk5q+I3q8O1Eem1yrw88p8xgPHTgk3pcJIwKqb/N7CrbK1I+xEt7bd4ocx4VouivUcXvPMi528SFspin2Hz2fvlMT7mLGZKMdXR8cPxGRz9c4P79zpsj0OHB3os6xEne3El6s6+MZ7lcL2YW78b3/Jfex8/v5NtAbu5X1FDkGs6dd706f0OOVHldVg25ihR0jz1t+P+9RmnoPT1wIm0Gl9AUHQG+Pgu0WrBzQQKcn7lpZ2AqBV7qPVuT9u+sEBD+BYEi2NEGUbDSXLY6b02N8P9+mTEb5kew24s8sg7LuT7/YFhzLnZ0asny2OcFCejVyK/Q62ASXzTN3qKZ7l+HUFjv0oingVVZMU9lVitMhOM8xm4w7Joo94nneJO4zL4416lYjnoHvZXwJPCf9rOF/JF5J7ZIeT9TB8VLaPvqWFglOgRCZPJFoqJtv0usQtOueTK6v7tRCu999WI06GAgUpzqzvWYSNmQMDJPWN3FfEORc1MUTeyGz7xmQT6h6uqiX8eK7V9nnbWEXutXKk/1EO2Bdp4csVqjDx1+z0xZPhsqVXfrG9ajDQXqW/rN5E+YD0vXJZdjpdWfEOCCRaELtuHyw+T/yCtLGbcmSYueSFdla7Dl/5KueVin6hODFziDoXzpWWHleAxPvgvddsTRX1PoCh4a9VBbUse5I3xR4z9KzW2arOaWV37H8trIlZI6ByIdtlYx/6DaUZY6+j1PUccNWiY8nyCnEEd4pDBATlcNtEOdLsJscPx31xJyOyqUL3Ac6ReRNxWzYzpgcNsK9E3s0noIOnA/6vLWJV8kW8EZfef/hyR+TH2X6O4t60rzcqK/VW14fz9ms6LPgGX+nIuNEHILxzuUnUeOklR3NOnxozPJ8B7fFfenihzsPA3/FomRqo6eY1yA9znxWxh3z9uokLpFCD97VzXXbog6El3wXnMvBNvi8WKcXCFbRj81pEN1GoG7uLuRj8vsaeIBPazcsxkVrg8uCJl2iMZLojSdbAg/ifGJUu5E9KDv9dMLZAAF5uwLgcKyO95v0JJCa/DGic6nPechyuVU9GAO6iqNAlb5Pxy787n5wZf84jZeHlhjbNQ6raWrJJ41dxIXuumiFZsiV1/r4h0jfArFfY4rgilzKuTvaR/JAuY5h1EvY+WswopcKOIDBrwsy6wUCCpPO6Gb4vGIwC2m6EJwUYTLi0Un1sprzcF1FuYkVZYHH1oYh/XSHJRpZkVmlOLuevQnixkS35D4qznBnhDQypgRZxKZwD7pe/XZ6MJuPFzCA09ADUwS4G4MgOTiOLhpibGfAcS2szDtxGg7HQpgnR0n6fkSnHQ1F5qXreweAvhnRbaEIkgG6oGExJPmoyTT2cnkOgCbnzw1tGTSHoINPkHV0V6aLG/feDCW+2TgvRnhEmyihMduteGUeQ+chOxK6Nj6RR8F5jgDEoIMHLPzY0/OT1wPtVAu6qMg8Qt2m4VPkb2m0xBF0YhpwyqSR/3q/8PtObsA7NoJw9aAHJduJWUkkW75P/YAB1K79OgxLlIHdUTNTXF/Jg/AnDCWvywMkWMgzsQzyfh5HiUXQEXcFDosqjucdQcGY/IhjyICOJ/6fFUIiA+lOpic6NVEnHvvPyWQet62SJug5QCqfdNkvaXLJ4azVQWpf4jOVFLzbOUqBCh077ccZBw2crxw/RuMJrlBvmRyg7/G66Pch52ESGr+Hg6h9+a5OZVxCtioVfNI2ENQgu93O85csX3GBwZxYuDpIYaYsJpg8GLIKwCXh4O2kMcFH5GGR1SQA633Ni4imYGjKLviwvWJg2FJ4jHm1rSQHiRsZbG8yj1bu2tLQKR7LiReEJ6pTWEASx3LHhHvTftC1nV1fnG3O5ygs7LEWzpNv39L3mp7sDv9eUqdPTskTZS5GFrhsJ+zJDt0my4uVsl3ZlOfg6Kjno7y78qfaydr4qCX/EibkW01YJzqv5OEiIY5Hsct6QKuJ3ZZeG19pj5jd0qlNO31vWYaVbif7eaW7+X+cELWG+KtjDl/dqedB2BV+T+59FZH9jlmd+F32b5YpS542yhO6+YcWRjOFKbTSYYv310dAmcfuje72urfpRt4ltdzo49D1h1x2G9jArf+pMv3aRd1lPo/pQu5Vh3ca88iXD7odF4mkOhf2HC7ORP+JzeZoC9tp3P9hK8Mz6i/mg0aexL8Nb7ldnYJDODaE7DwEze3qZO6N3cs44bU+mCeCsLww+eaKsSzn6bnjpSfiifIkHnlgZ1qTR+E58eYK3os6dBU0TfBWRRu7xZ8jT3O92nrOM9d3aw9t8baE48y35s8WrOPQ0bX4eBscgY9f0Z3L4OwKH9CBXp5x+D5S8jF3Y3lpR8K/3kbyV0UENhiAP/kgpX5b4YHfXxk3r44xrutHkL4FYr/GBCvsxXewcrBCScisFBvugDxQYMh8P5jW77a6dqfVwYjHHdqb5AmpoQTxvr427YxzwCtee30qVdjbuDMGVjb6JGBun2YFiA420hrpgWWItreKhXfPNk6ZGghElV6xkjNYUmfwo5GBTtTgl5XyQoN1Bg7YaKhtzcYe8uiga9yJAXnBkEt8o0B/md98Mv6k+0z9jljflRSr3AG3MBBxEmbs2oh7DGk1mo470zJ9nLCNsuKkaORrpRPgk4o5b7z3cL1Pze9aBQWK46Ouops4ic3x0q0aC0NOZbnLLrWz+YY09QBFWawg834Y1Rm46OQDB2zDmYzd/VAOxhcOCYNv1/crg4nGQgjnlfM7GScQQJEB5PhMPPZO90KqxN0z+j5g+qIWz4Ny0seFmqR7r5qUjgPtHJtk6IwHGHdMg9bRgN+2303yrl6gO8qqCJjgClod91/4UGomeXjFX/k+7jnC+hMpFMigk0dSJgz04I5YzzrynnGHqpTdkfLpynd8lsS75jggLbA5oWszWhHwB3zmDomR920+q0mswM8EknCi005ekK0c2JNj1jVlYsYpkIX2TDkB37Gd+Iv4wY5Al0M+dmLnnoz9EIG/Bg261c4iDufalel80u1Av8pWAVHv8CM6uczEgcETmrRTiIPpO3mqQzZHHQU2tdkmvMnDK2ENu6dRXoWdko+DP8cu6rizy/WMTb0bto1OWbma/NnZDWkH6qirOxlBRMrYWDl+uNO8wyeeUa+84rDj7iXXqf4NAqwBE+sGu6SdKAj7Z/++O/YqguSeB2Wsg+Ngts1vZVK5S0xHo1/+tmDJ28UKiNuarb+lF9OjXQDkK+a7fzV+0YZY7YK9Pjbv7hKqiTu7pSu+Ms/BLl1O5ookWdpN2iafo+jhedbC9HF6hMJHHTDzRws6BzY0TnYTm0n/JPt3wkpwuY2AB+8wXdZlIuwLljvxujH9QiCOA9rJVu/wiYLwzvtFJOyakho6FbtniZv0/BkqYaNvOA/ypUjT2AbWoSJ+UpGPZ+ZBWKz/5EqbaQeRjZ7kAJfLtkb61PTbXUr2a6PLqq2R9eVKr3p5f5XGF+RBW6cbg8k215n32lU3G1x8XkcLdswG3WwWCLZC2NgEn1t5l2y7+zeDSsMmMCn8yjK7sRtLXmjXnG+hvE6Gh3I86hy/BSbaCGw/kIhPuOM3bhP1azqCl+mkEotvwx6ndtmbgE3YtM+GL2nULyu9CX1yF4xK9dzQO83x+u84jSh+cWfs4fMf1c5MulSknKS2lY3YR0pliSY+r5C6hXlVZx/GgnCX3zBGkp4HuVV4vuM1qXmK3XCn46pJMnWczI0tu/nndg5dpv2honMOhRduoc0j9M3xY9kP+r7MpWgu189nW57TkS5Pbc98Hv2PC1C82maRL3+P07GWi93mva0pteNrEZPBMkY6yWbZrk68si3ZA6niCXtV5/J7k9/ARtvtzp34LmBx0QYHni9DW6KFs2oHy8r47QD+dNO3QOzXmMYkor3pkiHT4IyZ48ydYQilSTaXkCOvC1U/ZhJX8pMzEEHDN0kBG8c5JqUg8PLUYdwZE3Pi1hEagtODINdZK0Xxe/suI27CSJOhqrFytExUC9AA5V9RrgALy7nSlKn0TaisNMYRG1dDcN/doRdKxSdN2UnxtqERIhJ0xQD3BS8Xx35YBotc6bthejohODg+4evIZ8eFeza8LPrQjdko58dCbhIfrevwPYgvowouE05MtGfQxI8WZV4DPo3xIkBD3um6CLbOIMhNf/t7PpKYkjWG0wzOzIUUx7uP3SF3PKDwwRRjcWckgtLVwHXRjhGg0HPQTq/AAo5ZVuZpnK9wOU2Od5155OKz85PzJRlunweuHqh41zhS6MLFxFleP8t1XDHxvvP3pNOFrDs13Up5EYkjKWMMs1F70vtEQBAvLrdtTe8LuQzP+dl3A3ugr5O7GLhCHrQ08CX/cnn8NvC46h9j46BqvU3ePuAnDnyjU1aOth3p/AWR8zsLx1NG251u14SLQlBFwunjNs2JhLx7zvke9W8c0+109by0O9knfPx/pEMbPFZJ4yUFoZ225+xjsZnnGisZDup/Dz62fJBRgI/jB4PPaN8kATrev+kcP7Tj0WDRmh0ibz/J3zMgkg+AT+A6aJ/4A3d1i0hesGVBQ7eTmA4K9bYTMs6zJhLH07E+TovKJOke5Pc08e+yXucpW3g9BcoBO8ZiFL2Or9Z31wuTP2zAnLah5FXxYP90kw8mU/8mGQI85LI3HfN7In287gw/HRsm8Nuk7vio1slF+BjEhzFxflI5PlvW7ah3Fyc/tBPEjINSPhMpJ50owAB6xfHTw6Yo9TVjQTOY3B6nF8kcL5cmIh0I9wHI9TYvyMQWj2+pJIXTT+JY1QNWvyOdG/0UabWr4rR0nHwJwm5laTNWgYe7hEHER/3fBTETDjU/yvEZ9LB4h3hwuS7QtwrmudzHPLvgVIK3XPCZ9QOXXaVdEKWTA1Msz4wYGFmlpPMWxxgn35zw6wKBfPzusl1pFzMwUlRc6XBLO7QlOnnWwEy+59BZ7YkPPHYaOJUvKoocwHs6Sd/J/utBS17HFyfd8dhW9gncBuCFCagzljgqXLEDZdCHzWWd4NhI6fsMsyAuw+YL/l7pskU/4a+eKnLYDNS9a4wDPSxMXPRTrwW8VznxAJ7RccapL1zpzu84zxO+isC4xZN0TMRPIroC8zL9GNYbTwSx99HqG35Y+J8d7ya/7sGutZ2N7XXs2pZ8UJBdK74ou0JhjKBdnqpBO+0NZCW1yahP2BbkepvmlFTlK+DtuI/fdNSz5ucgI1ZI4z/atcCVx03C0f+68eb4yvBFVv3tfO94sz4G+R1+XsCe77Gdq0UgCv+LLOwDHO9Ep8xXU2YinmVz0cNFTJcc2C+qmnhwHfM3LfAAXTP5nQevxQ/qBq9nBvSxDODcoJtjDDrmkJfNatq5uPplkzfw0vl+lcoRxfFB1uNAmm9QZrWYKO1wLcgvURS+4pLpF6codXywGLMfSV1w3fGbLyXT7kG9rx49/UOlb4HYrzH5xK/Ic2br7BIyrjHQFsK/UxJo8Akx8zA4wtAvx1doHSzdWCDcuE6sr+C8MOjTxDCWk6lQcGIBlaJx3WTQF0eFjQ4ogwqlKNn4INP4JThFIXV5uW7Mvrh7K717oLCKIbFTWLRqa5eKM3hkHiuOuPehB5qaBQcigy9wEQD3oTS0MMIH++6sdMIgbMLTJCtqq3RbOvqwWnk60JqM/5LfVzon5HTiAw6LfQJDouMXHHva82qXOqe7m/zyfumc/XAQIRCTjFWQI7t7qxVonpz2NBbzpF9xppqxjsZn+m3GqAdRfSL+eNdxdC2cHKBunGXkw6kxqeOMAp5LmTLwMJEI2qlIuselTBTQWEtOg0DfOm84Pl4X4cC7JyNAJ9bLdurjaYBlPKOISpwSUd57G/y4YGpPGesy2xzyXyWNn4Qq0EjPafg+knde73HxSATdFd4PekwDXsJ5TIgs5FXJA/RVkTjRP0364JhajXmF9nsZz8NOxUqPIxzPR3h0uHTBK8X2iUynz4MPeCQf7571/jWdC9eYL0Bf0DCdqEC/pUmyQeQpw0CvUYCwG79XwMPbt1IY2HaZsqfIbZJ1UEcE5A9JY6fjfW5/TDYMuyQdmQQyIuHQnNbAp4Wk+05xIuSQNMk1j9fLjvTuPszClzGWLbehS5395HIKIoXpKOSm3EvHS7b0r+Vx4hn9ALSR/O719mj+Rn/gJFKua0EioKnhcwe/K9fhRHpuM2/0LXXpzr7vdLaMPj6t1bG4Y27VJ2k3O77nca+L8fowtYHiRZ4rw7wCp5PNOx1e/BEIKk0A13Pxf8j/7OB2eHd+apLvpB9WNmGxo9jm2tS9w7cstljkLxPPr6YNrogTB4lXZVe+Bed7HJSFZx19UuYHFgnHSejCB7RfwuN+Xx0/PHjgCjhUfz3xOfcbBpY2fVp4WKzyokiyC1b2S8dDPDlfdCMabyhr4lmmvaL0HuoyLjtgJ9Zym1glrqEJeCaiJ1wHAAUjHOKG+dDfai6Hr4cUnDOwnzmhDQd5IhgrMv0MLIaLKFHWdAuxaUy1QZIdrz4cGwZ9E77vKgHu7RzgTR1oGyp+Y7ydP73/gV9UJDYKYOCy7BBEf4RkvBoMBzr1iX2e1RHFxfY1eud0GnNu5eQYHhsYgAUYuJhkFUAr6VVdgOOs4Ruk/ZVlChD2/8I2bcrjPIYpoYd+wwvme5k7WNBo+qWXsLhbPDB1Vt//T/TErnybFcaT83zZaS8y5WxnG5iO/sw7l72c72kufrjLF+Zh2TyXBsiS57oTiVbXA7x6zDHC4/n7LawVrzEPAG7Pkcll+JTBeN/EdR63/Q4ltsGa9rZ1rXhgMzY/0l8/RPoWiP0a01i1rmZxx8PWaV0xvu8G9Z2jKmKfRmY/puDQMnmyWsmBE4nHZ1fQVLkbTmNHRiso0oAyEiyQBZSOmsRknIJAwhUdcayfyNxRaXD0MA9erJObAUoHHYLjvd8pWAzXRjiUYAcaPSa94ev5aDdoxtXy/95c5BlWpr57c3f8LK2Iit0wDb1mIy/34olB4LQ14BnfmVmdimuXakzYi5QdX+h8pv6LDLO+K7CbneY4ugP6oRyB6Ia4OX/LnHxJuxyxTwAHvLBert0qscPbv3vbY4cXtbH75k6zG9AQgPUjZdSPPBq4K8y4zh1VGnTyRteA70DR+ciAdkinQT8VkfPNQvb43Y6xo7nskgBHwSe4zkxPw7xIm0m+pOPLwgvcJRI0rUan52d+9IBJOCnQ3uOz0wSQiLIX8c5fsBkEgbovHpjwRUTskwW9LpiajNTUPd7/w7k+j8krOmQXBr2ivzjYJ/kesKC+O5g66W1yHTN9wk7i4ycSY0W8r1VirGMnFX2Tvo06vG+cZudVJ6aL38cuPpdVd7u6Acd0dJGK2GETnyEKL3x07HbO8rtNA1d9v3YTxUr7N4An465uJrb33xiTx2eL47xt1Hnwznqnp+t1GCPYB6FfnW9DZ8w2qTRjYPCl2xNT3vT6Cx3imGwceMREnT+zzYC8ACduRBmTtPP37f9ZPs1DL54Qk9i1nvT+oZc+p2+pT4k+iVdE0sRJTGiBTI66nLVRZvh7gO02Fuolt7O8Lw7Qw9Mh9gl/kCms+yjZMe64lpwvJh99DDh+tCM6cIZxGKIJj1mHyWk7xskXLn+7kxewj3zXLfRHOi1i1G8q1+4RmbjvjojCFbfbIGyDD76b7TTRzxJyP9lICBv7oXnf2culHQxbJx7TJhp4xekeOnfBNKd6FF6xBKbSx0BHNny2W/jl+cJ2eKcdhqeBvNTUvm/pJqHvKD0/tenQFLhh+30bnPE8zQ4RljtTt+Zdt6vAf8CJlxOP61MN8LBNE7zjAVQOCiO+m7Ra5MInnqD9j/+3dPPx6+V4FwrUW/xH9jdXaTF20yvU86A/ZxsorxKuYMcjnu3iJc/bfOOJ2GTfQv+WYFPXFochfeJg4Sot6c95hi5jW8H/b09S8vIukyPvBLHCqZ14f3r3awLWMw/b6eE3scxPsAAer9wxoqUB+M4+ubFfwrdAu5DgI84RbIHTQ9oF6WwHss6GNoWf5vnGItU0b6AiqiryBngeE4y96zUc3i6C6LvCiUloR02Yu2CNHaC8AX/3m7qxP+FrXVDmfAw0LTSQpg9XNkX3HXEZ39y+teHL+BwAH5/Lvkjg3NWH79iPxYWB3H6RKgfxFBmdWVMg9lPOG373++QRQ7wMrmwa9TmPadqMAjgBvVJzQbeErTxwOX0eWPp7aU0lH0WMckxEbMzr+JxS8mG6sahAX5bdXV8RvMgD+MXvCSCPbHfOOWyT0rdIm0GX4sMtxOkuMMVyay5GpzYv0sq+2l0PEPToYEdX06kEUBfOcydbBuqLDRU+J8H4eh/3qF+y1y6fG+XzAH4BYv3VNNe7M71b+Rrels3CxPaOVxSh1scx1ie5DDo21+PgQkUuz6e3tXWO8nxqXmfv56ODVdh3feLz8olUqX3ppbR9tfR38XujU4r/Kc23rp5mjP8Y0rdA7NeYWMCfEpNMJb3CaOCQ4sR72MvJaPsCDi5CcqNcvF7Ouxu0WBXtpNy6IRsB1OE4cbkU0NKAxbx3xqfMesrqn53Q2jasT1Op0An3q75oJgFwJfkAFfioTPpkB4gJtUY+0axr/45vVsIf8eQdOeJGXY/T4+N4u52fndGA2RonOfEYJ7y/h6vX5tknnsLx1E1fu3Ju8DDgg8TPM7PbTRWxildrdO5431/DZFYymBGvxIcky7o6eXyiUQ9H7+x4K+MITfGydxNkKIewHdCGZJzAO9MxTNlZQENz8EI7kdDIp9SPyeCabcTvnVGb8jKMI+dJSS+jcrkCrumzoEEz8Rsk4boocJYcfQzyHvCtw/cQ4cncQI2NQG7L6luXHfUKlbvVp1Qv8gH39ZMFM9OppWYDb6XJECyqNH47o1vm+3qkEbZDB8555fDa8aR3r+jQBX4rmZAmI6KvJ5+Ub5tU7IIBC3dbpcnwp4nkRrerJYLwnWPLNHzCP5tgaIAFmfFkpfAMEstkMM15tngvcZW13hhwVk55yr7RuQXmE7ScJiv5+SW2+m3lcm9jPYWDqeM7TB6s/5ZeS7bosO+DlCDLqq9kInDyR19+jUexozbpid25zIs+TrMY7+X0wRX3S7nZwXtoi5YyL+KT/G6ob++7a4vzMtD7JHV686P9QwnbyXbtS3rCcSO/sgQVBtw4Tt4XlPnnV2Qc0hnnI/z9C0HYy97d7IYVSboljhAHu7vdZcq4Ns1LQf8WObKvNySqu5e6TJ53gccS9g07QBPZRucxGwFb/wzP0dQTFnSfY2hhQHcj42JRtRLdvV/8VBHNYNzn5ABo2PPcpkXaLTJZF9p873TFw6GyDmRtCrF/dqNjjOmL2dynDH8yj9uAD7Z8S2/CL47flV4Hv6LHpu+0sbVXeDBfA29i8Pglmb9L3q47mzHe13EQCzq5D1HGxc70F/FrSMjtT33szdnyY69Xv49U/eXa4ORncj7mecjLO2VTFvbxsF+fNPUpTT7Id9u7w+n9nd5ux9UN6jz3nHzNG1m6PKK/+baFZYs8Ln9iTpb8+ic0v+vnx3zwMJ+nH8Gu2G+B2K8xubG+2DEmIqEwlisJcUfCWFGGec83+J5Ws+ocVKFU0ZC48vSTeJocnBIkdSWX2uDOwHRUDnQoIIjIZ/uzoWuC9z1OZ7s4CCopT7qvEdqJ33jkx242gzzYH640hgL2XRLzjjsrF5Sfn64ysUMIjJxu5Vt1LBbCGJo8mzENulwIlJ3zhdMQdrbMAEEGUHYFJ/yauhw/gzwqsKNZ8uQ8T7pSu6JrE2/NPpgVNXw0DAlfndzRE++lNeIjNmgu52t8w/HIKXZ8Ey1NxE67dq2jYcQ8rSLndxqrAfF+21XQ34/KYMNJTUQ/Z4MUjUqULQEX+QyOrAmHfdDG7xZNTT905kUcylEZdZIvrcIUmSt5D007va6VeKS/dRqOfh9iHPPpR9vCbjvmrwDkqzF5dbVJnZRMdQw5q3O3a4z192vwe963/3vtwDx/QeT8ZGJvJu+/XpN8ODTT44BxE7xyjLHt5bxBxCdqkvvE2/5e86d2ydgJi+8/uVyTtGvaBs2mY6KJPhPn8R0DpAM35qW4u3bUe90nPPs4re5zWG8XXa+derkt6hMi3hYZvGJjNy7y3zn5Nk3GeV1xAgHRntvA8l5EjrS7ZvaBSCNTZX7zhO1KC2mQz2lnd+SBOgPOpyz2k27y8XLGqzH+r7r1kFhNbTL5zfFEeaSnyPGT6+Ml3wbdfULJ+2nIq1LeaSmS+xTgJ3qB/OH3wVeNvMzjSeU8nBcuweMyW2TqN1wgFONfEI7M+xhBH4cspoB1DYxIKnO+qZyf5l3raeEBlnebBmU15ElyCttNCU+XKBPehJvLbbeN5MzB2Os+6CyAp262eDnvsDV8nWxa3E1rx1WX27hpEQ/SE9pw7WjfBGO9LLSTFxcgfnO3HtGIntNpL7CDu6xYbu0LiUBZ/N+N36b4so9RViDPdjaQiHAQwYKHbLYVdAHqaZHJT9/Ss7Q6Qan4d6XcAiDvABVNusR/d9dHIA7G44Tsl8CF7IyC1oI/YyEVT97FboVRGGVxAty8I58ybCW2hwiPYqfgszbvZMJTHqdlgGKhdV3bSXHSd90E/8rnvF5q/+3BBNguIK1nvbe3DT54EewTmeWZ3/GkF/dxUxBacp3zpfMO2WNQppVTLuvwJIIoY63cxLa0pyu5XQHvkhwP+7mxE4b9wIGCC4gEva7Tmrw6zbT209ZgVx/aKy0uQON0RCu2LfTw3P21WjyIizFXwd3uagtccMvjsywISbZdfof24zBb8ildyAqniCINgVeiH32H5rsM/9CW7ZoIC/hpmffiNBPfeKFj8y7Yb2U6zJ+VzJCFfLpNDgTrJNtKRPKdnHewgUdfCa4r9WUMJfAN+CjhaAO2Bf7CpwK8L5/XLvsaTiEZE2ZjsNQ2mS7Ujvbdz/LHg43bzQQGf/gO2lDmdpXaiPT3UwpP+LWcZ6WfdfHN68S8wnO/nmfwlgl1GV+tcMg1xwALYYqN5N0y4LIMQ3z59IIuOB1sP8qmPH5qjsM757wvnuBx1QF+382mln5+cfFOZeq+pq9iHgi+m+On9b3oOGFJrxMz8aSAQDt+ddDIYkioy6pd+xwYDKGLNnORAia+jz35/7tFtU/lmwAvPMkbJ9ENHhx+HZ6IkU4CpGBsuYf6BXwS3z9BuZNRQnflloEnSc+nd09oynkaHJbfmMcYj59h2q1P/Za+hkS7VzEtjY5mF10xujcDY3lkS+C0LivyTDDhBGzCaZHQIMWgUFGAu7Ii4oHFDp8n+PJkQZ+ZFOmDlAK4TbHv5azzxmFrE026iGSaI6y2+CuoLvrvUV9+JLERuklrhbZ/jnTavWHkeRoHvuVbXlGJ4+K4lGwKZlF/7SaM0mTEpo13fVBXlmmB0cLplHBneO+UcZOWE0v+hytYyRFJQaqP8F4nd/3TsNLTgotzvp8F4df7+TDBo3NTkA3r5j/Gi38ZV73v71S+OIdUB8LjfmD8lGQ8GXSt/Lf8LRxI6FvsUzvGsdmHFKe6TAB19JGcByccugnXFb+2so9hPZFbLKd3WRHmKj/U3baHs3f81NCq6BORyisCdXb0buRAHMFDdgLT5ZE8+4Ae40mZOXbvDIxX6sqZO/yX77TiWPpM+7G0x6l5tZL3ZpkeL/D1BUfze+xfslvLUcIeEG8WybT/ByByPmNMWG8nPOBV/JZs7g/QOj7B1Q0lfdSEXAVBPpp8d9jdbozvq75vaZ0e0Pilfv++Jz6e6qebxAtTEuxHeHy8Yahztrjigqsn6aZfXvLDVvkbvf19yIEdbl1w7i6tcGJYeVHQ6/5dCnrC/2lBVmOrpQVCizxtnR2OmyPEbxPPDeGiXtCReKoSn6xkTRm0JzD4z/2ynOdpdxA9ce4eZAm8rLxLcLBvH8B+WY4wz5wXgeLKoLg2RuE3+4cVCcl+1ALR8Gul+jjoJzG8FIjp4G/q3fLmT1O339l2QrzK/h/+Ms0gf8wlHPPXY65385t3qfOXXgPAsk/u+ekF2Pj72Ff1+nagF37jFt4uD/oBmLcTPy/UfSeHmWee6tH7uTbSSVtgqMgqDsyjVS9QuaXsAJ/rQTvbOYMV3vIibzro3eKEF+ClI35vK30ONxX7wrn+7g7Yl3F4ejJki8Di/907kfux68XRHvkCX/mnmb7tiP1a0ynlbtg0wA6Je33KhBftwhORWFETRmnaueiS9hICcf64Xu9i8upNyoRWcZRtDpRWwBo6JRr3bCaDXlRQ+Jf2HVe1qQ02DR9UTuUCcKAFH7XaKaGAA7sR9LSx0PpySN6/uzKX1bA2V6cFvHc+3X3QxPPEJJUkgYXnzquIsHN04Wrpfapp4VymdsIq2zbFJKbBpOF4F1bYqApWc22TuVPCtHOFpBP5xrlFhwHx8d1IwZYjz/He19XhFXBGu7A9iafGrlVf2RU7fUYfRgsOFeE7HUd5x1FExD7lWeIcFMtjc+YBw3LkS6uOeQziOMf2OFyFsXRK4gu/x9fviojdETFZrRnmuPc27gXrjD2Z7TFdGALNuEgw0koyMhg9mIoO0gi+nn634JBvp5d5s7jzdAZKqW1IH159N8qUFabokKvjndulQCf7dOF2frK5E3R4d3gvoe8A9d2avDpb8X5rkNcimd7e737PrN9PnfBjuS/1OfrRdyw2zo/zZnfMsOM15XWGHbxqkAfhUH+LjrtYNdcdq889OItlHZSv+P1JHhNB9/Fu5dDlyTyQ8dhW4v/j8/V8gt4NuvlKZJn0M6Sx5ztF3sZ97uev8/ZKjPHOUO3aona1PWgP7/EdB2sDd+yjt/n9aiCUfZ/9aG/XTliuc7XbK+TacJbiblEvD+0KHh8yCe+KtYZH2G5Kckunfpn2TaaRIQ1k6pWQ+XBn+5Q1lvnJ8cCdWbhjfNAA6+xOLwkc4HfaetSHXuaUtBMz+lamTDzM4t7mdK8X8rlV2rAu85TuccWVwLA7VmFnOt6ts921ukjlyEXvM7XZP9R/0a5hq8dJNii/B52Oz/DNbXvkq0ZGOB4m2utEmXlyY2Zb9JiAw8kHfRVFiKfDnkG5jbqL5JeppDEngnLd+VskBbUVeJ92i7Xt+pYepVj9jr5cyUR97onubw35xQltAOadLvn4H4wVssc/dzpkB8/bgI8o/0SET/HBfO0kpImUa2hudqHkF53wzNe7zLzRhOk/SUMH0GELUVmrJL3cpgYfxW9acYmdkCZSTusqSKh0/lJpn8Hddw8nIdNpLwb4dGjEbi0r7Sr1Ux0XH1niiRooBrmaAMy6Q24SH0YXg+zr2pJ8qXhZrw2adnC1myK9afQb2swxz/OJ7AYDQGyP+O92jA644nMX+V3XZpy/EQGe4wFww99xZK+BXheyfUTmbjSHSX3RTf6GX4ELeJE2SrQh/Slhg15EOfi0ES+iGv6gHTBfBnWM5q7MgCBe8uWs5j1ExD5rHvunXUMdTvuZ/TMrRZma5LAjdZQqk+0Q5aAhV4AaiNE2ToR5sMi/4/LrPeBd+gf/uDzImOhnWMzruwD9GOIyFrweEVGDk8GQH0guePuUccVTrYgmbD+V04FG/jTWbJY1R9Kc76A8PN8Fadr2Qxtx3JXUKbhD4AQVaDrNSyUeWvFKtG/Y9Cbp9J7I/pbrcrix+/zU5AN0tkRrO3lf2oR39bGKHbnhPDemInO3LOuH05K+vV72whHnyxKMRiZge2Je/02ST8nz/HF1EMId+dRpAO8F3qXxZ1bG8QVj6j3s62ZmffqK3hbcGVvqZ3o0xIAxEXk6fuP89M4m0vmkjI0+q8fw4+DPeTtaFH8YeXbohbRjGE4eK/Tajd9VuimT7p5d5A09vKBVmisMnt0h9dNJ3wKxPw9JYRCFYaFJ2KXsRoJrNQCkGk4lKypGEMaeuT3mYWEgKQ3keSa/5qABGVXF8IYA6kpxqNdB7QwwjYLE8qzUDJrnR5joaddxekMpqeUyoSiEFMACp+S0crvQaMPnVP4SYqdPbMH7R4kNLqJRDng15dG5CzTJOKC8VwEr7Sqrh6Xn4yl4Z908QRhgvV044Q7PYUwHXtNIS8cL4kKHsRDCxn2u0ecU7E14sQGDqQlWTscPHCn/1E2mxsTpoIk0k0BenscB1FfyRSWSHNc5Nq7OKwYkDdPtpB7UJwJ9NBZutDLHcca/5r2v5I7JB8zrfa8i5jskfZes96lbj8GXo8V0bA4HRQIPeMfy1o/BRafNmSacbwoQYcAMJxR0BLM6p5iN4jmpJiWhUePBQUxFpjbf3PF15zXoDEZfOmoYeRvoHuIOn7EOk3kvLuGButDzXGM2tzP4lPkH5NDxWQuOgngBjRkP10mlnOQy6PC2eFE/lsTjbzj+5ymiYFSXBQICtGRecf4UmUeo7XDw6l03esAMxpz3ObZXTeLo3Bhb0CZ05tK7BQ9nXUQw4EM62sif3aFMwguAKYiE8TwnqxYCF3kZ9GngSvprN4GNfI32iQBNLzlWdYqazOPaHSFuK8Atk0IiSVeWiTdoW+gfkF1Ij0DcsI94IENdfDR1c8TUh1YCK/36/43sXvRuSbxgLibzNu3zZ1xoVhZIwpgRkda+TDiItBMLrf6Pj5L6p7tn66rARhbNTWFdLHOsJhqyvkw8v7kz+Fv6opT6/ZWjnzcTOssi3od+j6zLg59B6n2XrKOnTunpsvOpc8ZmnDft3o7DFu4AxzL7Fdy61MghrvOlxJPDQm2NgMAH+E9BPt4d2QeL31D3Bi67CexOl3Togk1bUEYfFxZSdfgsd0Z3Y7Shb6CjgDvUmctXHYULJsMOi3Zw/W3VLS4+gc5XBs1MPbytffmk/lVfiVR9pPlb2P6JPvALPNjlidTYAMXm4mtNIH/UszqpDjtp9V1tLi44oW7Gu9h3I+i0ojXYdDs5hkFNR6nr8zYAdtPPj77rqI7tEuJ1cbxEpr8oksZp4YFxSlVn8wiU6/zD1h5etOHiS7DDsK7GVwj7aZN34pEX51cEZM1nuvn2JG1s0KKXHRfpxwvrRPQPl/eAsu3ZtKX4Z6t22MzfBWNjoajj73z5ioIluX+Nmak3buXinf8RuMqkkbrvMv/395H3S9MDHkK6fgjOY53lcwAPCtzYswUO891DOD3wxbuHYxHnWNKGs1XbGz/to+mWtgv7s/MLv8ju/YHTt0Ds15h8xRXtVBWRLPTeNO5/xZ2xafKRhPIxduS5kZ7KuLHATg2+H8YG372BASufYJ3KT8BYGTgdJJTIGAk5BQp+7niw9C3Vw0ICyJaMJ4YvMnc2QR1oJCcDFcocny0UYyhEXm3EO2NZkaAAbpydMnkcjeJ8muGs4GZ2Kg9oWOPO0m0yMPTR8A3jZkJJSlt1Wt/Bj1qM2jLhDu3CnatI1zSpLZDPJp/nM+81Vk5rWO1ED0/O837fsq+sw12vCnhTCjr5WGh2hyMtUGGW3VtNB+m75fdonMbKujk+lykM8HE3GByjWHYXU31xXHInk6D/jpPelbql7BDTySxzuEOw1Q5YrVp2DOdxnA3w6Xh63x0/GfUcs04MvOopIr7SFQOqOMmMMsr5qenvZYKdl/qZd21MHiuTHO4MHPm7iYgeAy7eeSoExyeXcDetUn1jrLODWyYpQI4neeqrXqE97cQDiIpyrybWr3LdRcqy4oQsNvOoqtjgQXsb4yborZM+jezxHcgpcGkgs1lGi45LfOd3lBH+Gzu1F+M70SfGsYmdGv0qIjGZcHyWyZPEn7FKu5NTrrveZp7gJ5XUdm7r8V7bFjqBxkTWOZkufBdRtB/oFfcAES4+ZsQGDbyf/E5RX5GqCHPuggzbCvteCTbYKZl4pOvgfUp4ZCbaKSSz+Z3TrQRnj1kG8yYcxzP2XdKxoD4iSC6z/BH6c+KRy9N9VepwLOMW/ZT1VezQURX5ZFN2FDlFxEQahO7IbWe8dqeHbFPiBZt0ADzQnk78hadW0N1Fgf+DlHYuOf6dvKCXeljqzyTDqG0XL2T9G31NCwkCgP+R7uc77pMNQfr4292wr6flZONI2wmzzd3Ty3Lex5vvyYZluc3Pu2TO6hY4uQ7tJrh5slAstyP8NdMeDi8YTbgs7sJk2N62RjeUchA4Q73p/no3Vd4twmn9lQbHDp/WBgjZ3+8eXaUUgGvwWZXJlU+aMK4tXZ1HVmgyXbu6EjzCfUFb/Na9L/lXwdEOdnv3rJXvyZ/0bAp1sCx4g0XwYxx3C/SSfnHbkfmdTvl4lDygsBtHMPeCbSj6Bn8J99YHd3MDbJ0Aw3KD3iXfEvxhEYlFvCuZaPyAcJsiyYcyGE02utUBsn82jjf2hbx2iMjbqGPY+wZ0w3m65ZxANtnmuySnpNqpq+RsCfYP+u+ZDsTDLD+B3iYL2df1CciQWCTsn8aiUG6vqcj5nVw7bYe/2M4ngD2lKtf8gem0Y8F2bnm40Y15UQe+H7/Dx7Vj2mxsk6akQFuii3cjzgUErk0fJVwafWdMHwEd7u8xH/Sxjr5h1uSd6LhoOBb1Rj/AaTnBs/4O2m1OP8Cr2AaUn3i+yJvoS+tp42VoYeMyadarjsNsB8FxWYv2966K6GPN82VwwliCQzRazXvmNlNALfi6sbUAWfbH27kWxCvJcR3zL5p4uFvMxcHTzl+Leig/+y7MdyWxbib/uOD1RM92sq4rh3xLJ43i8+rkj7aeO5xsyCdZyx9+9sUiPFdwwQD4ONZ+BOlbIPZrTJrPIY/jzkRygFZcII5B6QGg5o5Y0Su4oO9D4fhl5jbLXEG0eueVTxjp+xV0tENF3sDCECmBIZMZ9NV3ET/G1I9g4JWjZSKXBvc14elKR6PdpnJNlAay0zleOsm8cxOCqB68UsnCDg2ZdJSa+GSzVyp9QoENSqujQdrx58pOiSSufDbGTjJWSFFp7r52d4tn4ElLh9e304IfI0BFeCyF9qBLOASs5Etd1zdUytrVYdP4SZelg0E52z4NV8c3gtFNfxn0QwRgyUAQkeQoJzh4DBwvToD/LYIy2XC5xtQ0AsOBQjpS3/Lig0A5GSu5rdOYt6izO+qWgyO4i5cn+J12xzlod2hv2LvOZduMv4tkZ0jlCpJ3/AOGJE7YTSN2yAQZcu8n14fzO5mO6ilj16yJunOFbR+OejJQadUzOxHYnoKyyTgSR7aBMybQ5OXLAMXjPUxEVE3e3jlvxgflwEv3K+IY6PrA8xyS8e3oA7rB6ZPyQp+KSJ5DHd+Ssa0kn05XBeO0CZcV7/OY4CSPUfZgX7isZpmdvs8xhDgmnYWnRHAiGZn6xsf/gMmOhn0nc7f3kNHHTzJdAp9x9HJMLmHQnmkAeEWjIfCd5FLzm9rGsrZzfEiPhtPtOKvK4YtqBs7H5+v5/E5n231xWsPX0b7VcVwozwT6b7NTpcJYTOhTwCqOnxagHU/Qwu7X1lkDvgj8IaEdVvoH5bDNI+oRdsBxuoN+uPC2sAdTvRBg9UlMtIPwGDG8gsHtUk7T3iQacbtJBiEeyQ7u6KVNHYWeQCMeG4SvCLSlycMrlNNK5sVu1aT73/mbD3Roqx9xhvhGAc87HlG2Ox5HPrLtVkeJpL5I9g3R+lvaJ4uFoA/S6oSXu7TS5aCveSLHy4Vv+HQSCevzR5tsiTbbbsIv2aSLevMCISuyFxccLFE1qgt+edzg75VRH7WlrfMgP7iTya+MH7RZqa5LxDxDMPVPGBUsIKeezIFzjX5IeYXoBnTNi6GhLtxBu0N4079JF96kfBcpyNIn9oDbApvrpURkXocjNW9rP6CeIx1yvtHVKCzXU+O8XVJsHOZv9iWu4bencRcYLzINbHDGi/voPNAemm3EwIla1a0Jpub/3W7GIzrRf/FrNbBBJYBji/ZK1akipMdPnUduprE++n/MzcUCUtF457/RISif3iXRCueRzBfLu+ju5ArbN6grvL2Mrss7tq+RTxFOJzsjf3614hEOuCV7xgOx7/O5m7OyNxEbVwVNvQbtQfkPcsd0DBuddavbySxffMw8sKHS/Gkjuz2PCeAo0vJaBU71AO/yWMc8bD+2etjp42OCqg7am+sRKMZjCvF5z+VDrzpfEU1xwaqeoOHotDPEvwQRF6md80xwZhO8XT7XFpuldjK5AM5yOelB1YRPsXESnJmn4/MM5/I/eH6l9BPCJv5APNq51tRhU8+ed3Yr4Jje+Xi/Kef14ft+brsT5v0zn+pX5nX9fePfpusHu5OQqM6Uh9pc4jC7eY5dWvTlrd05yrWnHCIYl1cmwsFb3qT4Y/QVvwViv/bkAv8A5nOlMoIXT++wSQHYGOiggBo4eFfINRFLwZLGUMSy186Smc9XPy4dTjLeQuAf0BhzOX6tkuFAXNf2q32u8C2e8dvVDhLWBCvvcNP8DmGFYGna2Rmx6XMv0NmAUZFWeKeJU19B0rRJ4J12fZLoszimYCX0hnGZ7ni8S2QUd3igMdaCICM7ORqsZIx+m/Rogqe795XTOMY4yqHT7GNxGF48WXUFGLLSyUf2SpSbiFdcl3woYKSPssmwR6NN53gLg3HTIWoyj/ZdfXd6oGG3aEfgMb5191GHgejGnjTfWmQmTiJyOYefJd1FoqfmyfpTREd0pByvizy34OEUqACj33QYYN7viCOOER4nGPwdv2Hci4gly1vSKvYoxn0aspHoBTQotMZE/JxA8HjFdjIObjyTXC7zJ0jrbnX/Asf49x0eO7nrfe34+ykPDA7bZNDv7kR09EL+ofYkx2exMjN0j8OAxQ3BV3fGd2NUp8mS1RgiHo+syE8LuY784zLD35tI0NjLn28SO1oD3FvmjXmFAP4i8wCuHV42+wvx7CaBMLmsTTIXJrJKAIvqdf5aTiwhL7FjvSuHKA8+M8af9GaZgHaZ1unTAevqL5Vu8ZKpzkV8+L7jZ5cb/gww2gUs+Op0ZHPZ+O56VKZc4kVFXbkaBLAyZreT2Dy2F0cJF/nAfUoLVPBY7ba9XV917XsSjOsS8hjrqFX+Bp/kVD8wq76lPnX3aIcOXvXxuF5jlR4HeVOhUXecxkHjeVFdJ8MwuJlU8sauqPKnvm9t2JudnxFcfGXFPdhL00bd0zvhKIsrRqz6wbMg1S2bMSlA56dioNvVCTtx2O+4q9v12ZPAd9ZLFu86HNkuHwjO1Oy6LZPBZfE4NkzSaQ9pwnXRjGQbNvW9lI65OD1QCh7r5QE+f2gBwCvSIOwKq/06bKMVNLYdi2+y8iFEYv6j+xYwDejj74JuIDf9mU6hSsFYkQjSicgMkkdfQ2CF+XE1drlvTK6drisZh7p3LBROZcGGi3misYsQr0NB2KiXTSR2J7Y2SthuaP/KMoUPR3nLnNNiQfl2bgl1RoGfcWCccL6gt9fh5CyRuvYSeE79+dS+D1bJYS/ydAGrxE8rux/tNc6Hfa9SdqR386ZLHu7ycnpgZ+P71jynvl0G2EiWdPXfXYeRgrqSr7RhlGZQtakX392JUvNspG9h7pB1Yfa77xU6B+XTPBp+Avtrkt0S30RgvT3BaOZJfiXKrUYfPR0DfeNEUgDPcT2BV7xBqz4CWLMt0P+Yj/TSxLVHtjs+PG+gqeWWm1ZWc/Vd9k0geuV7v+yjcb6VHhagA7wT5pWvMH0LxH7NSSV2ApTgHBi2IUD5SJqDHCFVOWFS1uuIgYJH7Ek23tMOBNzVoI0wQvyTg9YbP8l4aIXgOIIB78c0N24sC3s01smAKittOnxwZSO1RWTQdOQ53v3Il+ujwhGGyVCUWY+/7wy7ldGaAwtuyFk24tAZiYnSQZu3XjDzBG3nyKvXJTVv2w4lWjhOkhVwcSJ2StaNnqPPWiZQ4Z3jvtzp0tW3SFdwbGTAYyu5/oZOUQaP8Gba+e7Ww4//xfGX+yfx3Cn5yPBuDLinEwYdNw6Ny0wLNOauQA5MbHgZbgsYhcc7BAsUygHvGh7DCiRsHSCUR804j6NuB64hRwEmB/NKMhF917xDyUTUjzb1tmAg9ZNc8wxjt2pZpQb1ugx5+yyxszbqjZ2Zud+9XWiwpV1RJpeDPI6Q1c+S+glh4Xs1iaOBeUVj6iPYtZXHE9CVLA6cyIhAtX/jlXlcF4/nQQMMWLdOJMrEY9Zr3CbmXee9z1KS0y7dJ+3ffKcowjR4FiijEgtUEh9Bew5czStA37cJJ8rwaknvE9AB56dJIBW5jtA+r7yn8woJhG48892cxZkXonOTfCIraMDtdPEap2hMuhnW8enana6nyPF/r/d+VFyikRPKII+PMZfNcTrIpRvQoU12V5I3Q/7SBGK3oCFkz3F9SROmZnVMjrrQVjOgO9PchvxkHc/H3zKfJV3g3+I47lwHTjCnnf8ul5wuAEtMxeCECZ/QOY+6Ayfo9zbriOP9Rr94XeVY4TEueCxsjy73tsjs46AX8MiUEdnGDd5tdnIkHSez/5d2B7/uFPTAQ83kXJ3y0NAzgY3j9iufMO7ppAz85qgYjB88pYfxIl5d3nEHYyAdXwuLoL6lfVLVqW9F8riC3YSrCXwReRSMdTjt925hAZ1Scr2UGSRxvlrYYYWfXYa5PvXXK7RjHIqkRY/S0IDlP8nqq9CsiGmZ7P0Gx3m0mmRbBneiOzxse6OjI6+3Z6PHFejNZAq5BzJ8N2mu0tC6k21dMHs1QUi7N91O6tpS6mjkYLK94Psd/2KeSv9pR/CCofjfML/MCelN/0Ug/bTwDxMfebYVzr6olxez0mLewDHBRINlgZ7O8bajZZr0TydBZN7u+CKPkb6thT/AlumCs8H7NBfA8jFsNkQxgqsasFLAFXZKxvMxd0iGrzTwNMcr0WXYQZvF6u3i3pHXXfougGEy8HEcE700BV7dNjvwpJuExKw/bP5hy8XJTJwfZUltVqJ/a7e4PSBw+gnrLZXkQybQzOdgfxrVy4F1hh3zgpLLXfBUTG3uctX8/bIhtZ7aAjtg+SStvkEiPHbL3BnRJ9lu/sLtSH9u5tR4bke5/UelYTevkGBxWzbtYp7l9iWeQhmAcyE0V5zKFwW4oCXihfIbxgeO22JXy7wHdqV30nzXWd+noKqjtZHTUTfQf7u4coGPHVrGVsgxmeTBfuB6ReYY4Lnm5CdLpq0QrRJvdWk3bsZ3PDFsXmkmpf2dTOls2nzSk/ZwRHNdu3EA7eD+wiBtuaYOcbGZN4LOogn/5QLmHW6rb0b/d3kGzt0pR8VW5kQ4GPDGWqn8ONO3QOzXnu6EzBMQuhFibf6ey9sjw1oAVF8zeFaG58xQy8Rzo7hbULYZryvBvhEIKDRu8d+kLyn7Kj+kHbwibVsmYg/gsTEcZR8oe3fIvF8M3n9JQuM3folXDd5Jzr+dmFqlxYRVMh47kqSdsIBLGJ/aT1xtUurjjldFZLXeuA18DnomHt3QCA00zo87trguf+jqKU5E4JcHu9oMWNzRig07Nqbb3YX+aneESWPEuwHOxnzQsT2KaZCeVv76d8zL/0ew0es8ZS5ccadP4LsbpyqFVV+RTYkfgPfwvU/0dRNcybgS4KWVfEKjnJiOx7J1ZSgfO1gFFjkGinjLhNHhmJx7xLfTjfiKnRbECesAnNGZN24nd7BKHQtNn5fJQ63fA49uhbzX5WWXumO0EwL1qwUY/i0CCirtPcJdW568c/jh/FGDpkM8J69Rlz3WIQudF5M/6AgDL+LJCLiogxf2XHju7wKKtjh/uEwIZKrOZEf7B3WIFmOm3eVuk3adbG0T0LOtXuE+qfKtAYfjqLFT+0qavIvxETidta2Tb/L7Fk4nW6nOZVBs8T3tMCacC4wNzyCf/1ju9/kqU9M/roO3VF1N2nU7H7m+pm9Xp2iUd6/IkRUKCz3m31Z6bluVydJ2Tgnk4U4HFFlCOrYNajxIL/kudzg9rO8JLfW0l2l+D/T+e/EpFnyn4jYSC8D8i7ZOWeCzsSPmw00HvSrr8EobtFXDRrr+wfGXjq+/oeFtMJTypu8flNtlnop3qX4I6Otl2V/F+tk27+rDoEkbiALApvOU4c725Xm05MNIlR02AMSdl55/lI/g78LviHzsYzRy3e1GxmM5OS/EV9g3T+0lwncVMNjKnI5mUC5kguOFuMKYj93DHm0XoMv4ru+a7erGbk11b55v0yrvbgyMbzv7wBcLlDEhgJ9J4atHuN/x/oKHsOyyzoanWp7xdhl8IphoPxQfyOu6SR/Sg2NRy6tl06KSu7GglA9p1PT3cu6je+djAV4XnlmULXbRB2T5VfjZ+xKk7Hhv51d9CU6prdPnXB4V/Ep6SLcuYLutfyPnU7bVXMedjdbh/UPON/yA6Vsg9mtOJjER2N2XEAOW7wrxLM3K+WI0YyJjPl6/TzyiLG2b94kTHffUxL2y5vfKiqRjh4yq8eaNNpxvOBFprdJDxRHG4BDuZTXtYvIu1c0KRK8dQwnNaJ8I7v4s5R0M0DM5c51sIsHGd8VeBp0bfKNud6wAxnTKNPhkHqGiiQ7JACoWmNP4KnC+XTD9/jcvb0qCe/RX3C2IxxT6VjGCkwIYK/p0OCPtRlvF5l2A6btQHd5vwVDQjyPQunSKROZ4czr5OPw877E7P+mEJz4mEaiXv/rlunumapu5e4zucUZ5MHaRxS43WIWp5Z/5v2k1krzfFHgu3bVHY+eAO1Vi5z3w4vVtHFU+xqgds92rxMEwh8XtK8dFwZgzyd9i57+3d7AkncAz2jxgf8p8Ht/RAUGaDIBs3IQR7zs8Va7jo1SulaaAu99LWiZZcMW199ebyRmyddwj+3nKQoM6fTW0HSJ6jNW6477HaJ/vKMa2Ir3BIZn9Dv0N9LnqrgENz6tEJ6fDNY4HncZ9TJdzO2lRJoAN4L1NveC7XL2e89Psj9jpSXog7oCy/G4ShL7ppHfQEuTa8S6in23mRZrqhB87/JxXcBwDn5lKrPx1OulBcUkfvzp1RmoXrVYtu55l0jfoQxOR9nbRE8uUO+N5vJlkvgbe8T5OOglgiMhcyX2IvP8CyeYbuS/RT1O/4m4XOzR4tgYmR5ceV2M87/FOeb0qVEOwOxRxw8mf802jf864RmLmm7KQdAglHz/tRBXIIKVCbF+EvKDx5fWmSTV/fc57d7ujqSYPbJR85OXCfX3pBAmxfOSU5LzYPuT3645oE3mftucySMGw02r2JoiIvDz65bq2Y45Jx6Oc4sBtHvYN4hbjDT0+7KtFm/lklRiX3j4OOqiIvdHRyYiXTxotFgB2MicS0py/b2yEbwkS21NJ5s3dmCIgk/kkpUR3lwOLscr9xLKXeLcubBnyRjT6n1f4+w7wZRAEZGqySUifX3zuGald7rPsRBLvWIX/eXI4LfTyf/HUEy+TbOpeZiRdSfVClQX3RC+V4vvV9mFhaW0i/LYK1vFEq+s2roMDlX6UcW6ESbeYM0CN07LYLkI8IzN/Bxw7uiQ9BbJ0dR949y583k3yU5a2czN+mlJ3pQ32Me6CTToRK/Q6VJinsA3ebykg0ujfJ7J5+pXZp2RZE3055o+6wEfiAQ+G7eoGP51xclPK5QXueo0dxthO5kPEyQOg40Sjy+9QGL/XP+wvBBxH03cckl5ONAe5gro2gqOH5jGrJnpq7L7F9pjDcH5Hm8G/0cl2LkuTL+DjqJO7QMO8myx/S/8TP5f+J3kgQM/iH5PuKHKeGYhkZ7JbPI0+uLpVLxLBeApfldpfTnXBbwKktsnbIaK8rmFnhezyvl/I5FU7Uxnvf+Lx8Ld957fJvDuVd/qOOjBwxru6k5+HPIK8gydGCeAnEjZpmU81ELVIE5kwrvk1mXMECnoZ5kfmfPZ85z49y0Q+8Sb5TtQfbrMfY+4T+6/IYpDvMa47/SgCfF91aJn7ttl2l4G4ANjrTLQXwK0Tp6Tz0xgAXkDZH800EZbzywBgo6tZvqeTPP3lUf3z3fHVuGgpjVfWgwSL/d10khLKSP+2O52RT6dbJMSvnNzkMSKTPHeF+IEc52B0J6v4yOK06WknexY2wzKWgWU6M2blY3M9P4IFvd8CsV97umPuTVo5SiLVoJjvP1ZZ2W34BAznY8NtrAYqyvoObBLqQzlKva/mw2kYYPYDDvLvbTdAUe70+8FqdnzV3p2k9A6P3HiF5R7g203+ljz4HY5OSpMjp4ny8d4Nzo/GmMg4ejjf6Xfl01B6ZbKhaQcq8HJheWnn/r6A6dQMA0zsfozsvvOkibdLJAwjP7Kl3O/awnOeuurFQF80S+ffHS/x5FU8aO1XDLIajnmC9TQFfHd4oD3J6O3GLLdLp1zDcldTBj+70wTGTAx7aG+i4yttGvUh/VN/YXu64m53dXU2Blk3GZiebeEc4P9g7Bu9X5bF10/1Gj1jAHKZn2SzCfTRBp+C98Z47ZLX0batGLVNPQt4XsaIv5aTICAzkn7C922Fc1zdjcky+UXj+ZYGW+ATnw7HFT7pN46209LubjJ7mzZ8g5PMqEMmv613sW+r7MbczzKRneOOZRukhf6/W4ncHUO2L9A8N/RcBp79f+t1favnG/jtgsSA0b2Uth/LBMO39ONMXf/dHD88y94ZUx9F6gtS057vw6f7EIwnPhr5CV0waVt8U0Us/Po+xt8X2LVLkG4jsJ1G9V3P9OJLcGA7hfqAcbQNT5W7usmOTOmnJAc73llOvpP+qwW/h2Hc6LJHPmTSbRULto16Xzj/vwqqtyh0ttUu70OgKlaDRcN5bMdEgTG/t8FM9EtxwVNXLj5rfg/tDpqRvxgoaq5+stSNw3g3Rr6E927saXxmWnxEvmGQqMhxA5ED+dBH4vw/SGLZ+pTXBPxhhmPl38jDCyREmnHywni8TU9oh/WpZP72X5VYiBw4K9DAfeqfhX0jIjhX+kSmPVlUUOatUO6xX7nRlykhXYnvuzHGY+KnkphndPH+Ji0XT3wBLjtf75V7Xr+P1F358zh9CZofKbsrg/z4Q8raF9O3QOxXmK7dpJPbcAfcGasHYDLIA0d0D+K1Yo0tE5tGrwqspBjPKABcUfldXVjnYPLDd/iUnWJzVivdUZeE9tT+vCvFccXVMWH0uJGLCmYhYH2F0NyZKXWFZGOcSreiTnI+b3tJCN4V0+q4vFcEhcrcLdkol3mW/OyjWDmr+Cyw8ukClO7Mo3ak1YWx42EaC5E30U8Bti0n+nFnFrYlvoNjUeidVqjPbxe+Y5xQmWsl3DRyuF2mcu0QgFVbGJwNQ0OgLyBw623AuwVNReTTAbgB/cfYwqCkw/WV0sGPOBZ4Ik0lVjwdaaeoxq7utKoW2y4iPKnkbU67FRsDzVcIRiA3nuf3srPL5jOPq7RDaeDBKx99PL/7vbKblW1pNwXhHs9v9T0ajXrS7tRFXamPaOxENr4HBOWAzXGYvoNhMR3vy0K3A/iSZH04G05DncM0OU+HyPt3l/w9xp213qZwTBo5dTrv4sp7Ek+p/Y4HrjIlh6Acuemia6wuPmHH6AxM5F+DsRA7xbyPBfKzTMax4W3uVvxie06iDfCpr4aOVbVmc1cvLhZBvXZIo0tHu478HDJdRN6/m3jEym2Ta1ewn4zh8Mbuv/li9kU6yu4gPFn8jrY72/mOWF91bDp2ATvubBgTb7AT7b/Rn52+l3lqhe/8fnsHeDAOg46jvi7wevWbF5KSykIN3PkJ+KqIxN32UUBjvLq8dNz9jtd0x1jsEMxtP7z/cHU2ymikM8kjDMBOuWCS7U0fJ1bKOS29zQcGNY10q0pdMQ887yt1d4uK4l1hPoJH38rqX6BJCkbGGN4f/5WcZpDbyqdihDxTcXt6u4PKQdLqZ3TCk0xE2yLpNBC8Xfu9nV0Q2vkLdUK3wCtshkVDgAbLBWKs87EdYdcPA4t2GX9Lz1OiVyPj5N3m3dhd+WJfVnvzbhJleR9Vh6PIHJ9gm8ZikJUO2slonYAyTJHiu3Dq2ka7T5KfueJpwifVnU6IsqzXoWwbjGnq7QIOpQgOZ5K7/C12T2/lIuG4zJjrL30kqMsqsNBJ3BbLu2GxDtTvuJgz8GnyzSsepszO+tOSXdHh+TidJp0NskyH5h1P9Ht+0qw7tPZNXnQ125jukn+SFvqXF+GVYmdeWK9S21/GamXPmY/kUNi9pENbfMDeRVhznsnE3podZp08Tb5EvRO0+BpwGgkGgoLPwP8tfuL49Xp5zqacsqNUF3xzW8FhqYnom7d//qYgCtThsKfNm8hQU9ifGR+2V8z7r4MBNkTZrYVwsI5mLGD9yc4Vtmnnd25WyFibR0wnv11zWed5f99dQ7STp8luR5hlcBB+iDzyGez0xJP9Yg4Nx54BvYle0W7/Zo1uID4VkeljwrugAcLE/nPawbgp85b+DKdriYyTsD5J9tfAH4jTw0zEznH/r8Apc+y3E97dcyfjuzEfME0kbdhAPzLtTLdCf9N6imO15a5T6a6268Qn5ZGqD0DmJNlCYxrnYq7qrH3PsiK6jcYNysBWlyXGuZ7Zt7zoUNuI5XI7HypyGEdxattil3g1YKSnBePX8BfuYF0FiG99pkEr9uujTgV+176uWzphmxseK4nl5V1+qGPns/6s07dA7NeaUN6KxnFlInIZ5GDQRnCiNXwaAU7wU3AWs+CxUTINI4ijOIKP21LxE/EJq+V3EmBujNihVVahcY5G7MOJHJ705FVfyQDsUI5ydHQcHzOM+R/K/FR/VwZo6ffXIU7cNgygoYG3dIzKZLNm3oF+uv5VSTtf48gOC7hlkmElnP24SjRcSQGzc+FGL650E7Pp6L/Bjp/TrokpPx7Jg7E8KWC1b9ukMhdGJKOK2qmSxxXyHihvO7IMYD7Y7lBxJ/vdj31q+KihvwdBy3GVCffcvuTYjjJLA4j5DIJQeHRv6zx5XRvDpnPUS95GbraGpU/QQNu6sj6e3ZlBQzXht8DHjf0IviO8VTtURE6tMiH0hYjhUTQognSg9HbBMLUsKkGOquMffSvBm50jHeWdj52uePSgSOZ7FOggc49T5r23MAYSSajvEy09v0I25PmOx5wHVjwi1LcCZaCt5Qh2bJ8SHOS7Lg38U57BKwblQy4IjCnkZ5LVxSl8qpe8P7GPoU78nhz1TgYJ9YnkMZyCxMxfo07sF+6bRxPGInVyh8dD+tjAVOhanmgOWwrapbBgxBeyHPC/w/TFLuiAY12IH+JpTGPL47CRKzv7AmWS+II7nTQPuwKPz2/gJZmCsBt8umOc+BimXd4vSenopURsme8X6brTtWboFwG8jvNLk+dez2pl90q/+Dca40s9vjryklNDyzZ49C19PHV96nR/ujP2LmE/drzgn3ZHmGkzJpiHXmEMgLP1mV5MRd9zfaRv5ne40xN1QJdAP76C823+F3T6Cp+Ag2BvYK7t1uYoYoC5DVB+tC83MKftMIVQCcLelO0/gi7clLnrv5b+YBegL4n5ex/qNR257I8nPPXKIhrdjI1RV2cT5WzWBvFW8xop2PsKqo4LyYQULKBjgxF+mlNyOCr5+GCT7HOmBkhPf8vfZ2BNqpz2dkPd7JeY44EBMyx/w8c7+fvSQgSER/YttuWu7HKMrewa8CmWAT/OB/Mgxcb1hH3+UXm2KbdsJ/KsTbs98U1n5wGuxQRu+Nr/j8dF/zzSW5v/sSj2UcIJ/om5lYPejT/f4BNHNIvEvEHq7gXeyc7ZtelF+f8oJVmGeoEqcp3e+Q/E5y1e4Nol2SCTl/iUzKc7SmPM7GiU5IuOeneD4abSLxiD2/lgFbkWtFmug3/1dZ0sQjQF+E9OR+L6n7QfF+e/hGtjH4v0+rvNe9d/nU8RZV9UMD9A+haI/VrTnTM2grH4zHeWYqAtnrv7gNKOSczv8MYA9KAa5CsGnpcD4V8m/MKg1nKXlE+spRV6Y3XudNYp6FSsAqrPJAeyoe1spOIEPrcrkq40MNEAcME7dGddmss1Dl85Ao8FGfYn8Mxt8slcgr91SkhYJ/5CWju9qR9ip1EDl++RCBocc6q1W6EV8AA3XrVmWCfwXArC+jMqF9gZm3cyXkCjPU4LX6280U8xNt6AJzhoD+M6TcZDu49x5yYGI200NjkMerVJOVDn41foKOLG8JHmmEwxmUFWKMP3ebVBNmhbGPYDZ+cDN8bsAPBkHPpO+7TiTnLb5w5kbPuUL2Fw42d0Rjs7Ae1s5PvPlHFnHEA7cMza4I227vhmMwgabZ2rHAOfU2YGgnXqzJN24Tar4nxRQ6yEdFwPjV153NZ054TOPzMRg92bQYNATFK/eb5z8FlZQcwywN/jKQpOj6CJpAkS30GOK0nLZArpsiiPu0aBjxXLqQ5dVu/iqCsMReSdaGLQJpYvaNA3zlW34lgxyEf8t5Rddu0KT/yJdHAeClk//482nDOfqcy7sOAYN8cp7bYGHBXaKUL92+wmV6AXLrCwQ+SULD9clqU7enkMs44d+qVM0CMPn3LpEcXTOTyPDlkmcyypy8JRCdpITqNj1pEC4d3xQty/ByLtbbXZRzJxT3R2OqbdEJM4K/sS+SIcODbHkmxXkbfMiOW0FKF+g+eS0J7jT94XptdOTJFST9xhwztbaRwGX6ulcsWxxDFK9g5PKlyLMCXVj7Yl7n4ppw+sJj6S7NVpq2GHaENP5m/0N3Dsi015hPKZU/A6TUB0OrcJZn9LDxLynI/F7zsp/eKnbkx2vAAymscGf28T2QGXvEL5Jun/FKQiOE8mj5OeYVxLZh/TPQze2ZLgSu03Dmy0gY7O9kQadd0C+td9nJrpOR919kVLzoaGU7/OEt4v6Kd1i7g6/3cZQKfvcS98p2tA7vcLldYVXPbb+M67kFxPoBzlu/5wviV4V6fcB1uiR4BxBblrl8yOO4RhDGjkpeKkK3JdcNerSJyIFXRYJJ57mD4O6cQm2Jz80qmI4l3iQdbDetcegAN6PmDxjkm0G2kcdr62wv8r2yLNbTBeDQ1a/NFG6DrCNC3+dVBuQ5uCrSnznRyjSLdTrqvKRQvIBj4xp9zPG8hk+bwKjvIdo+l/glvg0W/AE5k7LP0b2j0b+bMMHnP7SEZPuTS/ox+TipNvbBTQj99Bb/STeYd20oEBtNF3Sm3rdBB9O8DHKD4d0JPnRoo/phNOtLnjNVBlaaPAKjqCtGI6e19Am1obZ6PrEbe93dDhZqALaG5Ur/k3PuGN51Ja1tvI58Rv4xdthc7XYH+t15eSaJDm3Ul2hG+1oxfDfpIH9cuqUMik+kmb07dSvxJ/8EmnjGvyhdq+yHPFfIKgw+h9qPoOYXT86PML2wW/WGYnB/C7P9LizNR+omOpY/X8I0zfArE/DykUkoaBriblKOLk7Jwm8umoThxPKqGRtjoKxKReHP1muRzhi0I6gXJ8KM8cv649XOBPALoQWDamA3GysAjtxnDxfFnxq0gzYd61LUgHwjEc+4VM1/cr//lp3JUJx1MVAXxnuGEbPD8bLlS2OPHwsTpCeEcc8MvdsWdmyRD2fimGAJS1Q0TOeYn9/FDriOIc7PF3JnnijoKFBY7j1RzxPfNYVdxnXnkbx3xsK3MD9CoXq6VM9sdhM5h3ETmMjqq6eFe68pb7GcfH5L9cRzLkgu/H+HA4g7bH+3zGQAO3exBIROZRWtFfTluzWIGYghaxmGG8i0COypxMmPXyTmOWR34ULAe4Eu82Rzx6e9wwdRp0izfy4oKKQ6KLP1P5qEdF7LB5fC2OH0IxT/KNjBjoWR1p4t9Ge85DrqNtzzkGgp7HPLInDNHFWC9B/ITj/MWAPH4rQYaG3ijb0i5MnXnR0LfxrJ9HHgwqy4Tl9eMYCX0LDmya4BFJR+eriIgf3QvtQ2cY+zlNMMJubNZvRnli/KFOcLE2Fo6cGCDSiQ/SlMur2wCHiH3K/amfazkMDgZNsd+gTm+77+i1cfw0Bn2jPnd8MIWtMOtJEwBA2wjW4hhAuY4yixZvJX5NulKvYwYZrXCSLI4uCpq/zaCsy5k08Uh9IzKPR0eZYWNRWHSXB7qPTKaOH8zmsZ9+PyzvIE9pjCM8IYEnmObESj02K2gIcpYnW2d+4FHoO05J99Mx5DkjtB+f/V3q59m+qGM0YuUkK+iweeSoN5Tw0AHbIE8CNvKdInrMY7ZSG1RSAPQKqM62d8EEe3P+GO2jIAfK9kfHOwEtQxah/Gz0QCqb+Mbt4Qw79ERDpm+pSTc7pFPg8YXdsMkm5TGE/ch2BeXpjkblQDxK0lfuyionAQHeu9RNQia+HWN6tatxOfEuo5xIW7bDr8Aje+S2DBmCKg28hCcOtIy7ikwfR/K3RwnhDfoVnwTnM0p5zXlVW93Cvn3xnyy/b9vhOhB3ewBNunpyebuvgxPN3yj83wY+wyaYHXTZe1NPpcDGLkW308QnteEeDvG36z4Z42XQsAvGde3DX8MFwJEpy6AuEMtjyMdA8ikMbY+KT5oHWfWj80fDFxisSf4nll3QdhkMgf9NK9wix7r6lcYgj0cXeGjrjl8dvyYScyrmi9VVpr+juWjiR5dn3s8H9DXi0/UJAoV2tsFY/CPQRuWLv2VD3DTwVCSOcl5u1mh422nH357MUYZtuSonlYdNJJ3+lNrmtIc8GMQsOqNJrZ4SAfm5Lpf6heeJRBKd0jwywoRxGT7AKcVHSHSh/4t+kDXeJWFfPtETPJ6GHF8G/+6qp3Zc/uO1MSIWlKNM9bobXCOvTB5IbeB3rh/h5Js0f8flEUZpyKg++GJm7Oycj6btrlnnr1XC74txEZvF7mBCX+x2wK6u7UAYy+AofS9Hf9+M7YLLJlBbfMwNnZffGhhtMBbzP2mDNnT8GaVvgdivMTW8g5OEWyXniZ1sd2R4VX8oPI2Jmif4ZIPIEpwwWBgnEs4lT9OuR8JqYSx3Dl7npCdSdA6YUJnTEp1KwIeNV8dRVOSNBDbiwRMSqOg2u2RLWzpFi/ksG2SBq83y3s5dah2+ZnX3nRJO+I82lx0QK8NcpEz88JEYq/5M/AF9VXaaP92NAc6ow8+Gn6a7AL1Z6NDNlzJh2bSS3ai3bvfezVER6OxPZ23AZ4Ntp794Z5eNRcEYhD0yfTFoO3GwNIYTrrQj6ypngmNLTkk73ophi2NyZ7w0BqOPBfXdiRhstQl7S6bBe8VJbNqbbDikmcp1HK9I2okokEf4dWe8bBGdfeOemZlcQYBj7ro+RWefAb+UiQyVvDMP9IHXxc55BBYHbVsZEkZ/bntkgYkWlgkRuGrujjSwkngibQYmcp06ArC4UrmdBBu46LslPJLccdjdTqCBY2rnwMkUaMGBasG6rMJfyMV2UlQlJl/aUwlUyniNuiG/B2R9PJ2D7n4vj7fL7/GJceffvG2NveB2RGcbXfLWoi+SzaGy3bmYeNTLEb8ryuZGlsSE4qDf+aZzAsoDzUMvdBMFvBjAbNpxcecalkN60f+IF/NqmqwUsBEgr7qMoO+7xBM2k96z8tXqYNfnvOgq7l9+n2O6Gz9RjsZ9e7WEUh84nXh398KWWAa2sJ6QH9Z+j51JIjWoFmQDPeg4b+oq6PiOaMa/SzgGkM9Mqo2WAC5g7RLZSjiuvqUHKezOBcHAljWVOJp4R98S1MJ0YyfiQov8QTLPr3wbleIrvZLKRHk2DW/TtB1r7pYeLY3qQGj9XaBJshtZ332AHByY8f/LxGGTim8rInz3+W6CdOptb9yOYUg3lwk725fv6pWe3vGZq8DFWf699MOmwZASXbr7YLujwVMfUf+Afkrjym0u+O1UfjcXctmJOjP5e7fr0KZVaWyJ2kcpCAtwESleqMBBUTztiQMmJegEz7iQDNuefMCoQwqhJg0bIgJAdZyblPjNJNtnVE9F1IHQuwcs145zrkI3eXTSSjGPZhqmb8clR3AOsG0D0d7pHztfO/rw0Fjt6GryljZqbXuMiU6ubmjJdnPxDU2m/9v1o+ZySbYA/BS0pLoYT1KpCe7OtgsZ8ESfNXgmvx3LNX6QCMgTmXSKxaNYJ7Vrt8Alykru4/CvAG63iGO78IF1EqYH420C7OqwkseavLGwRSb+MZ8xNnX4Ql73mZOM83RCX7NOQzybvlsvQIJ2mMiTwHI7XoKWKrLyp78gbY/RDXxgfuuuDJSLOlg+IS/vbLfS31T/Ao3tiUdPxvMDXArcLv/DcTAXSn4/VwfhiR5X9WyL3OP000rfArFfYUqGpY9FN/rIeM+T/JbeFYV1giMznJoQ2G9ukFs67izVTQkdlliJLyiUp0GdVnXhwAWhU4zfpPTrihMOJLbJ6x3GvSui1qCACf4yCepGKByXPCeh684QFqIzoDGtwHJcsk6j1icxTK9dorHb47honFYeQT34/8rAC+W5czaEBD0p9QuWZaNRcp7Cw40ByimCNCDgU5AW02Fzh87CmHY801E37ABb5i82wuRQkXcr8MsR3GPHmX3SaRDhHanEK9dkmMiTyYWEkxIt0GjHcdGsVj6PSRN/5++jHprwyJPGk5ZlNfYhEViIo0XBGQiHH4509hX3ODlsqhEcS0Ye8CMuFMBASjlSjQxSPAIpOQQGvOvvfXXnAX6V72o8hs04gsHRdpnyJY5ihVWKvlLa6Z1k9didi8cgiY5jhNVmkHvgbJDHfGemwhgC2sevzN+gjQDueEysabQrJmYE6KvwSzIzOS8gm2JcIH64E5VlA8qdQdNy56gDd/q8Q37sV83BP79zOu6Tfq/5+ej84J3PE4/oP53tTnL33eT4CdXlemTwWDqay/UT4w9tjUUNI0h0fjd0xfto1ycJQ9X5yY8N9/Z7s9SD8A5bMv6pf71ukXnMMMo30hEnTRjGcB60QL3r6fxO5P3XZ+Uw8zjDAs74vTuOS6+2q5nYe25bO+EzyrI9omLRxrJISr1M7juRwXPBJ5fT7O9CTr7xUYQAy3Edu1x16Ax9tzhWG51r768kFwLIxC+9HotYYoe7o+H8BzybaOVyqFFhPEEasJzfTCf92BZQyTZU8M0lk97e5zUPapOuXtf1e8G1Nw0dsVzUd0gIRodz/D/L9Bx4re7fCRnG9MB3KOcQbqI52StUry/qcPuibc/iJIcUaH8H3mX5y+3DMeVV4k7+pq4iQwqSkmhwncACfsCKnt/SMqFNOuUQ+At+nJ3bdKeJvKmwrbicAON+cbugW8GPfUuLZhXzCOWJZ5k2Q9tYafmi+CSj3jzhN+uodv3Ms5ygbuRVKtslb99ZF6sWnStgRxhnbECv+suLaZOvkT34zavKgaurUDlZa1FfnKBjrjdfxz0DtgR/e+9c6K2mgk2d7a5um3UHeOevxMPUHuxrNxMQn+GLqkm6hgfhTftL87UQHCT33ah8NRXQn+czdro7fNVBQ+z/rZygbyUwqqS3VKYvGbpg6qrwkTz/apGvjGtGuglx4OF2cQiPiyPDbfU5ta2zq5aT8zimuLzXa1DtQqcmm8N/nT4YDEQ+kdmugrNKLFoU0anjT4Az6kC/pcTjUU/EIt9ZN84hRH6iU1m0ip8NynQyHBf7Ik0JxiwgSW/GnMCb5DGNuoWCrSEr/btKL2aov1hfJT/Xan7WBzG2kR7W062k4VO0dlbHm74wnWne9H+aX5Gmj0c78V5iz3PAu6S7kS/Ah81ycD53Yz3wOGb5Mk/6kdSN0a5eyDsrhd9GL+fA6xw/JyxYxvb2C0mucY1z2a1d7ePWGrqYhA+Vg5YZ5TK2pD6jbMtybQq1MvaIxxHQtQQI/AcTwK8TIvXV4x2UnR11V4RgM07t6S+t7Mvz/x9Nyx21i7S0tXbtp29tMBbtmZGn+MxPEvIH1PdjSN8CsV95ah07XMnMx/dAysYKcygJhVNAc24QwuoOqUcWi6RBdg2qNUAcmHcpHalmWRbv8MVJOL8HpTglQkKf5dwNejwhiUKFlVVRZgJK042IjRFaFFL3fVEmTYL4J13U0yppzf/7bkoow84BG2RLHHc0ttz/eIxUKft9yF6EN4KFy2PSuiPCVXLe8bya2ClG2sJ4xIUZaZLecQZejjLjZQoW4Tsv6wa9aKqvyJBk8M3inOK4QcQNHTLaATYbQnn8/UqpcuWNsaYilfZUF7bVtAGL8gLGaAngcjUkM2/xBwdkwr7GWhmnLT9dMkVHwFPP8UzjMpw3HesBRr1XEBbg+/gGh5oDhGWiTytd+Lm0Y9G22zZr5neUc8F7R9P/T/RcMxY7nBn9rF9U7I2O3dSJ24rPGA6+E2pr6EOVtAs1lemCyit5JLWPeYzy8bcML9HjkCJTQoYAX5mK2Cer96KG8x1CahIdxosccgUfu+MxkTe56QuHp0uxWIX02XaBEUya5olt0hMyEesm5itcKGPwK/Qe8OpkmzutLq9XExPthP4Cxzu+TfjuxqLk7x78v3a/dI3x+tZHf5XJ9lFHks+kmzrdv13d28itNn83xhjOHX1koVs6PLosTivkFazTFvJgYd4vJ982+D2+T/RbepSWdr1IXoh44xvO9w44v9v6bmEvNH5QwnUNg4NIBR+GsfJ/bnDc1b1NIR/W9J62zxqR5aRj4HJzTLOt82zbAfiv/I75wsSPCE72XGMLvpwWvuIKntur3USv20JX+Yc7MKzRCXfpNNFDb/XinQyuQdK8uDtfV7AfKwEjfVjgsBjTt2n4/nc8X+ZTRtsKvxSbKL+fmcl+spwHfZoOH8clH8tvhA8trF/AEyiWAnBdnSJljqjMYZE9yf9vF8d0dQLwqz2W2ySED9QRQ5r6RfxUFlhY5wvhsvEHPHvOq4xEJC1O38mKsnij819WtAA3IfmilIzosQr6lucb+/fDMhDxWo2t1ViOwvl/pH3Kw7Yc5Etja6OTovgdnjyeOB+09yntQr7guIaAZfwyvYpezd+Zb1J2bEf0NewIT2OC6kAYDT5cTr2OGDdjPMApZfg756U0wcV6Emtg2xb0YZ/9Qn0zF9qUw/Y+0hWOg9E30gNP0hO9/8SuWtYbfb6jxYMjqJ0+coOLy9Wn7cdjiZnv/cSaHyLdySiB78Erm0D0Un7XgO6PMX0LxH6lyd4yV4Vg8113LnBdMdj1Uk1g5+lQDpp35WW40yLzu/LuBifuchXx3ZtZY5nk4/M4JYfnbd512Rk53RZ00wu+ehvIkHChfu04UTk+27wLkhRpKNx03HB8yrjAbg5sn++2ZZiX0pK5a5NoEDtcRafBiEcFeVf6DodQaHAf0sA9Ai7QBm+XmsnpCnzg70rbHPHOERztuxRhvc/n2sk49yr7rqsT8Do+w85VyWXZ6MJVjL44wHnp+DzorJmv0koaWgUqA+9JT2eM5tCzRpD7eHMFGP1DR03xeOQjpDrjKFZNFiZzvCedoi1jV7t1uhj5GuF6v45VxnrKtbIRd1ieuXgaTwNQMv5kHLHpfOlHQpHhnRYZOB19F+1bNVb52NksizTl5cnhdtXkeHeNs/H/4GEOnMTRnxQECjjQrvOTzN2Nnqc7JvYAunWGgtKvTLlwvl3y+/isox69dqyq1aM2HV+v722gHobwdVesqcgBjBP3iXySGHNlwYTDAAYxyfSe/Dngfne9S7tMQ55kmuJO0cN3eMLds2XBDPaPAh+F/JS5u3is4D3fgPcHwUKHnbmO2HUAu2bDknJ8dNIg3eGqQNPx/fwFkdM0ZOFF97GYxOTq04bnsA9aBxX53On+6boDNt/BB3iFrnCZRVUBvCIHvP9wF66v3EedAHLPF8uc38kVYDXN/akWec830HNqoqdGXdG/CfeRx482Hs7o22cY3yZhO6iPD9Ax2J8CZYLu3e5rmfe1Bk1N8qI0kSz7QWZMh1mmned14e5w6GfP432DMmuQq0/eFzZpgkHxVLd3iusZyfRIu/EJx1meECF7CGXunGCb+iXslZARNminGaa/c10rc2wlnj7dVs22whz/YPeQjYV1otPKxxqzfZp4CfApx/AD7rE6H3esdosJRNpdsKudO3c7xsIKwv40eqYyrM/LxJ+JxKka7Eus+BS+uT1so7yelne6f0vP0+jjNMHapGLXg02VAiLYB8BzxWckPrxgWeUdacZF1wwWK2Q3Frsa68X8mzpmZirfnIbDsNjW5u9XEAZkKiTraIuw4Bue3LOV/Q0+TCfmhSR7GpiTriMAR0SZNG7kk/bvi30NJ3iwvbjsO+qzoFEno6neAAETluWEhlW97gOiL0myucxnoP1IYzL8IuTVoSPiCgMM+rJsx/Z1tHY6AR9gXRwInvjne0XnxLhKF4zFuZMZUJ0ALt8G6CPTl8QdbGzvJ3+Bj9d3nQv2ZAqmioAdo4lnykwA2GfF9lMfy7lvdcBPRyPrpEGcrqQEn2xnx7MN/kmGXfCj3+jmQ8SGLxllgGapjE3769oZq/E57FaDNbk4me8bJMaJHu7TiWpcOSPi/Uc4U9uZ5iL5NCNOJWjb6TuWNZjH+Yd3Ca7kANhWyR8d+WIeAfQo4pMWnMC3EnAiPEqQzqtkOYPfWeZYzZ/GGuoOqiPxn9b2tIlwN/TtkYYAi8cuBil5fib8W5+TacYG2uzd/Eankzlf4OXjNuXXlFdWumbI80njrGu64Cj6i+eneS2YHD6voSFTUn7WEyAzy3U6ja1R6I9zfNGZ1EbiXaQjn7DI7Z0yFQ03gtPxGen59htUkq7MiKoawJ1+cX6FOZ7Hu2i7tLPd8P8Yv66Xc0FeWHTNmVMdXJdKlt8rfHZpZyfpzXcsH3LJ6vvmGXc9sx+R/Izgp1cb9v2mb4HYn8PkhuA2Le4fWQ3kEMwLryMbXE8RlazMV+Uao+RxMhEMZL4yWVOc+S9IvLO1Da5Jb0RGGxYC/aUVvRs4GWH4tzHIIg87ANIYKVjEeVNJyfr/K0NTav9PB8zSxGy9Y3e0eUOi1Uq7xyu0Fnnil1cso8EI+W957ik+TVtWk03tJNyORTqFOn4nLJ193BjOLUzs+wZXo/c7mG60YR4Hf+sgsJyJglR/U54dkeBp+C1OYVf+QUo8eydDMQ88tnNfDS9FW2gYYfuSEyiZ3hlx+G1kyMpp7Gh9gLxEur4srzd0++IJftJznZP9ZLwlJ+wmJafd69kZuk35ko9lfIdnMnwX8FTyDmQbz28iYlbuE3Kn0t7kmjCS2dfBvzjpr0JE1tf6cLSjjN9VXkgv8R7IMIO/LEdH1rPXbQUkOZ3uQJbuX8lNqp9h1gIE86F++qkEzVDOmPS7XLlIs+r21ZXB5SQYxOUO11e/3eXvdOoqdTLiSRn/91U8N7A4/ViOkPq5TF/ab5vki3J/iLS03T7Qno/oh2W9PwVW3eHrMmzl02zTB+mXyssLMF4Z192JL13dL9Rf9GV3DH7K/3rnpn5o5l2WOz3ufDgVSQuHcKdmI/cf80Njv+W66QMGUdluERUO1K7gZX95/A84YcAhPjZ5lws3wI+Zdo7C59WkhZT+WPo0qYH0jfw/h8mL+6LIyrd8kJIdh/Xj83jV+tGrd/D/RcsLaBdsTzuPR7+pidjoBPQpZff7Qnuj3CvyGOT5ctFKwwMlz+rTZm5p61rsbOmbOjn/Dl6teP/+yQkXH05uqzs/rcYcvU+Bbeets46DvFMUHRKQYX01W3x36dYnvIOx409oX7oCD3bHJhm5Gteb8fLKvEMq8wF9/HJinB/0R8qPr3aLsVb0WfBkFHNf8JX2P8B/e2rSHfgvCQz/lNIP6u895ZGfYvoWiP1aU7r/SkTp+FM1SbvjYtci7Trkyfw4fsyNROZYMEpiFREaW74Tlb67g5N3p14ThTp2j6RVJLjySmR7jwsHgWPlqNCZ8NiMAe8QFRsao7t3S0zirixcbXrw7hY0dmy2L+piZSiQX+DbzaTFRddJC1YevBsCA5R6ThqzUeM7c33H2pwAJsWkEjw1lZ8jX3fG4o5RkbErxWr/elvYAUg7X2TStOz6gNWZJdnkP4UxMb8PfhVJd/bkQALRlZV0fHB85tHgvKLIPhH+YCjieE3GTMP+sYo+7eLRaWgSfrhisAt2xTujZ/gfd7K5oYt3HE5YJnJqOGN+pytOFPhOcccx7mrG+xBN0p0/7Iyn3UdGOPOKVJ13UgYN4G5l0WusH0Oe4H2dYnId5TvR74OwgLfvikv4qMRBBMVJFml3COEqO1w9qJ8v+sY9om8XUpm3Cd45dtCeQ4ZF+yYPdbIKx4Q6XshD2JZ3CUKdNM7T6vXPE3cZq1X9blbUK8fnxrB3eI0sxZXxQcPQZz1t9H00Acdb10aB/lCZu2Oxj1FkOu++D34g/kT9i2UPPyGB20x9Ew4owIkV5afkHccmcvxkNFKBdjqG2TvQGRnd5lgXv3NGZ70s/+IOzfcpb7qjkkSAZ8duV/PV+Tb4FGhon4wm4eya1BGZRzubir5dd6ZffKRxz9DxWaZ+GztPDxEx03FaxIWbDpkjImOH+SS90/Gi+zWYy2pToG3ITRWx76AsyLl2p8eQ5XivaeziIX4sTjrK/2CKIXeUJrN9XEA7496rwTthy432pbok83CHT+ywPWHhBI1RHd9QJhbdB7gcny3RjO3DZJvGyS9XfW6DTGGQT4SZtgLBk9xPIaecLkkYJXRkLgS02XboZxk6v9XzcYIN1Om7frAukjsRvMfVwZS6HbZFtyqX6utEebFM6iDJhuzk3HgfPkiMO8l+isPt8PyWciI68clK08YaclWnDOhSa2uY19N3yG53bLkHqgHR7oBM43Din2Ev2sHyVJ7zUgo+dDixLGvgBo15hwLnXYxh/+aLdPy0Cw/GYh0V//wyFqw2dtXSB1nkTUHDVEkHqPKh50WevPwdytOU409dMCL/n+8mK30hQKtOxq36xfUrynwKxu6Oz+drbaYec7tnfINJ+Ag2NuDcbkn84HQFeMvEwd54D+2F54vuuuSdmcfbdT2fbxp53IaM7+WUltFgPu1KKt/bG8xoURvKrjXsk0X/dMHjpU5DcOALiszxbweQkOyhKOv8p1Q/4qr1f/QTcTer4RFI/i/43NPeuE6YCR3u3XpAe7zM6KsTTlLqcDeRtdwjXRVwl1TNKfHpbnySvcrlMcCHd+ImvkT5YnLNFQDdd8FYr8t5gOdhloMZ8tihWT5FBTl7187UXvLpunm6ibvLjMWVWgwb63aadboO5FhCtbPxmndFhjmsTzbnqogG+j54O9p25Vmav9FvKnLY1d8ngGbZIpXu+Xo6hG1VFmH5gdRJpyD4nFX8wokzKEcKvYC31eE3YzH9Yhbmp9H2qYd0HrPGdPfx0ulTpTYzzlg38oFNuLuER9Z28+bFTrX5TcR1FfKM1TIC/DjoUq5rVNI9Qb95umOLd2o7n3KmOS/CLgC9XVDWeWV3kg3iAHnn/JgK+7xPj4Iu9TEfNPzYA5Owi6NNAkdBP1UmP3D6Foj9StOT1U0eqFHRFBTbKk2j/5/mpfdJ2IDxVeAaDLyzrp4OAYMBE0gRJIEg41VuQyMU0gZNXCj6ECSoHCwrzCiG71EZN7hkp3VxN1inoDrjRbIALYJvgwfCDmOXBWCqp3/2CZup2CmoaZew13cwFNyYXcLL+D/d0Vto2Sl7EUmrrB3fO75/kGLiAAyggIvv2nJX2e2dzvgOyur4TYYKG7xKhmHhGUSIfnXW48cL4h3LXC4caTCuS1KJxRvFpvN3OskXDtCoh40uNt4Yh0QDbOoY2+n4KEw260/4YbvYGAS4gZP/f+RvnTOfnLKFEbt1NCmpjG5LZfsdg+3kAtfN+bGISg0sOy+Cw4l9vJJ55UioJqUJ5kX/rZ7rMW4bY57GUsDo8q/61Ou8hlC0G/nkiY5vJ90YJ5Eypk0l7ooN2rsu5PEP9I8jxFwONLooyW845id2tur1MU0sjuCfvV3Osp4iFjrfYNzaQOtahMATYR6AFoXsTks40tZUovw1pmH3KNJv0S4sl+kK9wEB/SJwZjIWyMkMMDdHsZVFSdDJLHNWE0jx/+iza5yNTgRdj4IwyUnEXyQ5VCURP6TJT9Z3NtsQxe3SAXLwIinQK+YTyBY8iYHqTIQrXzhhqHtxnO7kTVEQ1/vzU7bVZnDa+acRPlyPLv7HOk2yw4g6pdZQE+lBEREOtrJs+sjuxWUwhtHp5POqIY1c6SZrUt03+uFbotQcYY0JZesTXXRlpue7Pll9J92xhA/veEx2QcVteiVvU/8jX5n1JqXHdG4LS6YPt0dlysOPJJJNAdbH4JfgLo3N1u2ATfrWCh7d/y1sBLmaHLR9nqU/xnoZ6NYGZFa4dfc066Vf+Dh79q/CR9skDsb2mZAIE4f4tVxv0fuQlfnRML9O2wMXxBf7Tmeb0zwL4iNUhupBuKnVD+3tkhb1J13dlUM7ZCHXAuSGz1pcRJbye+rLFwesy66V7YL5xqfYBYs4E89EMaQHw39iY3Qy6M7O4Lq7tnm7F3Wg/YHt/IikRb/8Vbna7uhDm/cxEpv8bEN7P35U/tP4xnc8VvE5xtZBfKRkMwR+c7Fv+NyYTklMFVe4NW1aDhvgbeTXMgf3gdQGJF0XjDbnBc+zgbsgLONfXB6t+CfetiavSKLB9e+DUxtvxuo1NvqPTOtox8JmeSl1fdfAau96TfKu+X5nc674JtGdlWrFKz0/OBnK8wUOr+LXAlzAKky3Kf9zmr4FYr/GdOiYDJKyw9Xvp4zkwSAWzONbfgYj11dHjHtDeeeZ50/PJlPQ8IALQWmlTKzu5BUVtNtomRAPldj1eLVN5zcudgbSkgKqrkS9qE+gkqLZHRWc6iQ6qTTGgw5lNXYxJCPd0ezu0qWgb8ljMldavkE7G4cFDeF0r4fIVIBpBdD4TTt0r7xpJxa2EydaHed3eEbcVs6JzT5rj9Cm8hOeB/smYsmoOvS6z8cNYYJrPF4y2gHjeqlhFKX762QaT13Q5ZB6345XUsgBgV61q89OWg2YJjxHs8MgGN/83l5tduGFw48TtG7smssGK8bfrGsU8UBaBGIGL4YBqcm4zo0AGlkjEnCsmuMGrMtyxCQFZEQu2HHfJASMdJSPsXHO+kqgEfBYTRD5syFNOjFCjdR3matwfXcx7g70MlRPWiXudKEg6GOjzMaONmZE3OWKsrMx/sNQfgMa4N0iInlFK43DcIphZTJ/K2XAgfD+DZ3GqxO9bb4ynXkF+v5R0LSRqcnpJ34pk7SLvsWEQSNTuXYejrJJ1ja6NMn+kya2gEe4T30HccCA9iXUnd7Yp+4UA8zTjx0GfM9fcLkCgz4NWA3k9B3kefTLJJrplAO+MzYtgHjzTPlub5erfgJAokXQJxMV9VKSdYNGoQ9Gf53dCQnOK76r/pxyVkQuXcWyObU9w4lvh4wdwHItPMLgNNlf8c3Hq6kc76BfoQ1Be6B3WnAQPKKCE+i5TLYNnH/cPlC4a88+TZpe9CA7wHcQN+PGdw/gEYZIA9xxd7siWAgP/s60krpzAXe8hk00+C7haBYyqUt4fYif4hLf6ASXOOUFFsPx7lj1vh762VSvcSIZdhdUbSfWUO5hCt1ucxJ+I++KbYzvv6VtumyuLBdFpvyXQ6UEXEKmWPz6/Z9lssblIpQtwf+E0MzLQRWeUE3wRWR3SlKMl8ZfSfkExg3mRZnFthjoAEO4KxpQ2sU/2K5AcIELwwpZSjKQrsOZH7C+BxOkDR6tXw70YDwvemlqw20caOzUXAZVXVQ09mtLp5Jp/uopoUP4VJO744rDjm50muNZ8CLejTkaf48nKoXOl5iP6cZFR/O+3WNPCNsHhOviRfHpkz3seJDsSHYmlMUTc9i+Fq6H/i+8DWWLXCJ/L9qCxcmeL+1oaBy+nMh1egrBcRTilftgQgnxXo1xwCcCUB1vAa0TvmyfnQqBC7vXuwAGF4+GLY5td1o5fQ7JC4ARHvMgw+jguv2Ofb3yYxu7oxsXna1X+GXYh+hLpnoQfjf2djqhyZ/ea36Hp5NJ4wfHaWQrOYB1jGqY3lhX+Nasd70OB9LACV+lRSA/luAq1kNw8LqalVxKC4CPwZDvOvOJXHat87OJKDrPrte8zkalxlwRju9Gb+XFQtkHQbuWT4GJRoNsdF3Af8l/dFk26lgtHkpEHbAnjrNN4esjDaCPjeD5WLlAjHlHk6IHWjsK4HdzaPy85BmXh3xamTY7IxcyuIPbpeWGKpFpZ46T31I5Do6S3kk4LnV1fbc8pr/DvVuYuSu3s4kWeqd9x3Wo3MN+0B62i3ER4uPrHH9K6Vsg9itNNox2Fakrm7u7X+F9K7BcyJOQ8CCJiJXJnBD2MVEm7dE2uHqzc2qWDnpnmJBTH4YRGXOKkzpGSq+BJ2/5HtFkPINhuzPIk4A0KQM9TZRBO3ESLDnWC8OSAxVoCMUxzzipGopyI72YTrTSFo/tyMhY6ZOlESpES6/aA3lxLC/mhx1GlvsfVxclWiUjci1sA4fT4og2RWeYBPkqTUdZ87swlrIy7MZfTLL70T8UCC/BLJkGK9L7fNOW/nH4VODgx3ZLHGdyfB5HdEJdhWeCR+SK9rhxB20OnkSDphils13FSF8ZXuhQ+a8SaMTBwflRm+Oo1vS9wQ8dgTAi9RpbaNTyJENJtng/2gNs3Rte3P5TRA6R8zuoV4AfAtE6LiLwaSCvvdPcWEccgL4tLv6HPNgcDRakOCCPSjqupUwo4G5nxwfzAg4loB50qHhHHcBzq7sck/EOz6Kw2MFpadQHQMc0FoeTho6LSJXzKYjleTu+8HZ6/3kWP4IMcImxSHBzxWNsj4UZ5TPKIK/D4XLfOH7jN/rfYbnD6N/fTOzThXTw4qehF3yC9LPmSZBQUxaB2NK+ps44Elsm37sDHZOhOP69Xd5PyJ9sz4B8vR4zoW2M37zoSYvd5PS6ZI5lXrLRZtPEl36Mcjo6G3gs8ebnK4OKzQUefqT0OEIbA8/nsAvt1NAlHLBm+ydIAiTyBTzp9AlKOJadlulUlDeZi/d8rLDMZ7sQ4b/JpWfTy0mnklA2rXYOLeW8jXEyFi2xvBHJclOcljaVD9aNcqCTCc6TgFfaGRy8PHhKLzs57S72449NJK4PAJ0eNuXeLBK36bjOLl9ZUCoSCyCrHd3AuMPlW3oprYI6c9LWhHfpiUjY6t3Rep63H/OLAeRllojefO/yI+jOtjcYM9rIOc/WqMkkjxZ13qaV/dLlwfHR6KHi9zZ4PT1h6C6fEa3wffofVHWymzZwu/JRpwMLZLdophTHEIMt2dIeddvOjuoWB0ht3zIwQrtgk36nICwuXMJAN/q8d0GY1ofo+O+uf8CWw3dp8lubPlf81freYWrDI6gHZeZhmzTxZDfX5GDABsC2IOxUJ41zXuiBAS4Vag/RF7+tTnuKYt34uuP5Rl+HDzW+s00X+bDoCLq6P9JVm8p7W9jvBvoEzwBNy4JHbiu+5/G44nfvCMIDcdgl7KOyK3glD1gugdxe6oiRJ+Ys4NjnlOAdHgeajlxFnPE0oBW+jh+PrUUqgUTmxZ0cQZsS+i2NE3yGQKPnPT9ZLLBtg8Eq15U26F+lxadjAIx5N2z2C2pkyjb//8y4LIstbNtunKe6xkYPl3e4sDn0hEi55inV0fQT2y6xcFShKcifng/6PfHkYpximoHava5yAb3K0y6uIB1TF3Wte7k73pf9w24RX4pzLMC3fikHYxFWeilJX7Z439Tb1rWYj+oBzX9XfvYXpYX8WQbcSY4ne/UFGf+zSt8CsV9jOk2On+TR0jmK82N+LIIYhTStpL/y21xBL5oGHt4dhoHMblfbMqAFgy4NahXYmdsX3X1LE1Bcl0ocUyGyF14dTV0gxERuI+jrvaKNQHX44QTYxIkDrvio4y5eP1JjBFSmoM0M0QptNoRVYqdNcTpExI+iVXz2ctFGyUY2V9UYZhjsix3BMvsk7j4CIrR3tsG9yYhfwgPyXoEhKpN2kzvu3I9oHKIClmmh++plMBJTm4szoE2+nnejmPfTObuK78+awTUt/X1iwMUcnhIPT7jdSi92ovn7+SnLm7TLJyqZODHchAPD3ynYMb51yJTIckC5VdkumYzdZKMYTNpEV5LRWeTSgxW3fAR7Wu1rGWae0KC+4dV1p4h6cMeuQmmsGshyX23Mu189j+MB/WMy2RUXrCRcjeAMPNHpNsmGYMhV+J8d83AeGh2YDHEIsEcbWQc6nniXNgZQTWKlccET2om4ctu9vuQki0x5jt/P3L521TbhFw4rZmO4TYp+YGfM24LviA+NaQ74JVp5R8JkQfweImIWkzy+0vkC6m21+YwVjnEowLsYuMSxcr6NzS9GcMTr0Nle3yHb0JQnLTob4nzTxIP2NnfEhm0zFsJg8DidCuK63cvYQt7GgjfATxEO1OHjwcY9XkROdbw62SwzGCtSRc/Ml8e2t43zJTlOfJfGcoxJDbq3E0mUnx1XvMuH9WWbkkkw7xJMO6j+f/b+Xle2XUkTQ78YI+da+1RXt66ht5CnlxAgV5AtCAL0GpLd76A3kCUIMsoT0JaA0hvIaUeQIRm3datq75mDcQ0ygl8EgyNzrn3qVO3uRay5MnMM/gSDwfhhBEnLmnfi6Iy6XnTrTZsd/0nYv5HCnTz02+sh/mHO16WNJBv5mEgg9vVlauh3HFVjL/k38YSRN+y8KHj6V3DzMwE43lwtoR1zwDrH7pxmPcOYJ8ebNMw8JstJ/p7bHXxyt4Ph9jSku+DKwePu4DVZk+G6XYjfwULPA39WTJsbCe+sRxT20dJGhde7pBOut3YOWP47tN28W9YkqgVq7T21UxXueH92ikU4doyXy9e8p/xt8G6csGVTlewCy+54b7kvvKeg3nJhMjlkXzljAaS2UMrW0mnrL2f55RnVKynvnf1oelewB1nnSjxj55BUwbyGYwnYX/PnstyH3L+s5wfHOddf6dRcL//MQeWELwtqy8Gq1XpbqIva7/qxLM8DXJrGapSZ9iMoIEtmWdY9d6mgKyloxesRKpLqtbW3TFc+Hq0Y4y/wwhDgevf+Rm5tAwiKurxcxiPZBMFmpnbKgBwGp9Ct7+hwsf0NLionqvOEHU15qS/bQGIjQ/rOcOX5zzahCsbJOPA7jFXn+pU5Wd1Jac3KeMeeROMPA7fL2khFs97FjkxWSTlm0ukjPCv4HdlUPP6Zfmzdbt4RS/hJ+rpXN+i0qs/bY3rgsUC8EsZfZ/pmemS+BXp+k5Y5ZHNb1zx5veVuThn+63X8PLDzM+hTgjqI9o16Jo2nK23etKXyZqTb9gfc7IsJ+ci/kp2x1Ya2FZji0QuzojyS+c26Q8pdeot/a/n93fJ/qfTTEfsHTMelOJ4aIl9855wt+ih8Z4cfI2XMy5xPZGzbcW12j6wJSXa09sV8HU7ACc8rBQDAcvxsNjLyAhXvgpjCeHLbsBPlDQblTj0XvKSIeptcbqNcIeYxhbULRQEuc46u+S26aDk+VzALDIWLjxE2+MJl2sCIlusVuKC0vhjORqcqZdQXuoTuGbDfvLs1lKu4e6qXhLA56CW8H7Qrqbimcc0O4cZHW8yBc4f6aDsfnRIcpKMPxzPlIYeswbx1AGIqi3nHKCtE7UEKEyYuTZHyo3rQFUNWKkyh6gquxjEJO55Mg7J3nSDbKG9K2mGRcQwrweVC2Gggza3jqZ5HD9pNS0cwT+TM+u0+Pd91RbvUmVYUCI6yjpOE9EBXhG9ul3H66Kg7fuv970eADvBSlGnl4MzzPxgLOdKbgjow+pIN3NvFf53jABlrfEIwX2OnWirT29KIq8C7piaro9/SxPlMnDexbGhK5lgZjeZjsB3/lcKa+GmVx9rYOVLDfCycoNwWd2DOydFGG0csY6UxPrZ5MUrsuHV6FxZfDIdAdAIVCrc7eC3P+Due8F2TAPxIL+8/t2Vwjjl72PHV1H7Y7aGYx3Rb14jdYla9JubDAMIu893JDcfso+/ItKpMRg5nX4/qNd4uUNF53GyjgjbPrrjz32iiH+EdgwyW4JTHCIC+MI+mNiV/OESdb7Yu03FMh2Uw/pKMzvTUPmieCKCn9LFVQEYffDGB5p/t3G8f9A7AcclsG0R/mIb5MqCg51fsn4iME5416Gg875xPWP8ULouZDy5Gsr2yejJfZbxtCc/qlABPOHaT6GBxhrOukHGR29gF9GVHK8l4ayQHEPq7Uwet0kTb8Sv6PhfDa6SUTiZ/1L/YzmFpeWynzO5yRb2u3QkqS1BjMYb83BwnAebipJ7Y31h/CLZz2aEjWLA+XednejOZvstXhYSrJYixWDAKyeA8VruFME956KvgBWDapkWg5a29l+aBByW0zbyreOQNzDFIRiPvZ/hI53BdAlFfCGCzLH+RKqdbcJrt6qDnyw6OG15UHv2cs3O/SK70l1zZDe+wvHS86bLAavxAJlxZ9w/2O69bBHhJZnCiZ3fX28T+zkpYb60WundjVzpj3XZLsqzQL7KuvKOjiKsVwCWAyMrohN35twUxj3l2x4fNYeH6BDXhQbnV/HP9ytrGkm83p3J5++n9HPqUH5tZyF+vn3UGK68ryH29DZBjHLeMiTfmHYueQ/V73mXX1Sj+Qn/I61dzTWDNfxtck3iJWplxHYmfAtRyQSz48grC/MKS2LEV5nL63J1Ysoig0Z7beXc6V5UY3pG/cvQ7T3ohj3IqAwI2erEXJ9tUqMMcJM8n/YQ5UNGOoEBcDX8O5A2OxbzeqfDdzT4HfG0xwUMwBRvB1kBtHfPonfJgTHMmnegOWDuieNApAFo/jBNWB+B+shswbE2JawvUBz4diI98DnZ4wi+vcSw4K/AdTo+hk3TyfPCdsGY3CpVNcpDr58CWMtE4+HdluMXXnBVE8ykAmPWe2P4qJ0pY87tKXud+ATGYGbOMhLzFyR5B54EPEPsdKtizzbfYLFy/43Zc75PaDfIFwLJmgbjTPeqmRX2a3lsWO/0owzfqDfb8Zqfr8nwnOxZ5LSu8QuWq+pbGU/6dTAwNb34HPN5V8I+ffjpi/4DJjzsVzLtEfmfaLhTxZNm0EyI2QHm1YCibxS6ro2QQt4DH9qIhsTJcZsrbKt9pN7ef04axLLtksTLR0kBJjHUe4yM1sxzDuQgmVu5I8C76dGZ01bsqJaFZRboul4cPJWXZLTLgncqnzk+GbaPg14tGMZJ6MV5Q4H6XqnuXOfKWlNYKxyHJiIfLCq0M9TDQkJWZn94lSfgdVfqY5znOiiEr2Qt8pMQNpczrWQTufFbdJ8LlQjTfhgZ9PXAHG/eVDRBLx3RsBjiKsf9y2pVLxonYs00dQuOy0Iko+M7hddGxqIfL2jtywkInPNkIvHNuVzBWDuug/GLSf9B7Kh6Z5ozDw3BoUR70nMvxO4Yfm0T1+iKSVUnl5uIUopzj97lvGZSEc7H5sHMI7RRKesfGkOdJMoANZ8344nnB726iHkObRBui8ONyrT4zqC2fAtEhDUCFiMZg5sFkOgBIPsy/O4PA+8N0zfOPM/IYc9Q0v7PvzCPHs3D/K/G7TE9Lynw18cDsmF/m7NJhYJlvRNwKAY65wLoDjBf+ORLcZBVwzytyXW/lrXjeTkBXMmyTFcDW8M362FowtflqgWM30Au/3oIasxVHYi15GiYiWEaMwVKq5xW8b92ps4yTEW3S616lShY5rfYH/5zu9/n3PknYq+FjsOihlMwuuQvSKYN5i/cLrf9jDv2NzPB0945tlldNSfxeOyjqxu6cfmtefT1/X8B7t3g585h8yHnryqfsVf8UyDZ/xnvGV3B8DX6x7EKpTska/bm1K81R/Ma4bh3mReIgCMedyXQOdBTSI6r2UNDP9uhClLrFYjuiywrFml8Bt5P97j9EndfXdFL5CheB/iudxvNJyAOsOti7MnTSyPwJifrdUtedXlH93pFyQSNlPZt8S3m96TbrtgXP5mc+h6ztnJ11a+XT0UjvTnCFTxT9udOPcuIxK8an0kFz/7yqhMPAU3M/RvmwdnajIxv+qvLhUYGfWdE6p9kmrfLfph2BMAy5zRsZv5R/d95tZId9ziCPul4O6jAn7IRzXjPmgbw5kRd74l+QaTu3V8p1Ewl51x/BaDZpKeN15o2PSQ7kNTLie2GtMtHXbXCAwVg8zvAEh/OQQ7ZhKzjPN+Mq/n3K4q/6LHwdlJ3nVV92OK7yF3Rremdp8+34ArVROijzHDbdNo/5OwfW7CY/z+Flvry5I/Wd5u928QbeSoHSWPWK9xpb6303vd3ePxMz8qcj9g+Y+q4K0zj651QmjfInhe0iS3iB2yfwEnGpxGQS5w7MmiUAPBLfy57zuQpoNydCOavf724BPDrK4bH2ZP7m8u2MkzA4Gkxo+JHHEvpxG1lMbeSFTzPWgkPRFYqsfU2B4cdKGZ4LocpRYh1mlIw1Xz6+GqrqCyQKQIx2DmDdMWptDQPRIu4IP4uSSIvM3FbAKfV9uftC51gbzo6r42Xea6lhfDqNyctdsNPZS+8Bd6bKNfGvD5lRv5wXsQwrj3yvYt/dJf1ePVNuQUcBKxaB1oWwLLi1xf2waJPm6BINV9Bz6TSy/AehVBCO87H62kMC3u8Ma7VdnA04PkedZ8wfnLqJPzldWXTWOftc7tROOHUn2BhP3114wXea8Y5FUWqLFd00/wL8RE/KeYIyMvvKR+G6k57y+f2vxXHkNkbez7Ez1iMirZ42o93m7sL+7uA7NNX4L9ZU0JDPP6VxM7iVPu1Y5UePCudd2DL6Yf07Pgln1KYCM3rW4BvOSXkinqwQ+j7ge8QdiEwXym3xPMtz7kAcI5aROvulH52O5ILfzR1wZuNdHQsLzDuHre+n4GKZFvgc1Z15SJqrTiNIZUzuasfRlMmDhxR8JhwNBaJ5nivW5oVeB82tw3fC93fte7qr+uzMURTANWCw46capgOWZaPCo8NDYIEhwd5dc64a7AFPMnYvtDGmzOIsAvqYRwmbXnI84bt4HbegvMSzNe9SZfojnpEXIbNRHY6iG21zRHRIzOtpvnM71Ry3u78OOwIy8WUOBFHmZ3ke0q5w1/USD7WjaHcOCAeL8MELGoEHFf2fi0qzctcRBj5CfzyqW2YdOfm805DHddo0pmV5FO9zH6p8GR7rn9ARsDmxrMgOZ53uCNYnwiLBwB/vInMev2nS6o4neAjyUeTbKHOl8sxfRpuBVmiXAtf9M72RCh12l0rnGrCfd8zDDsx7yoB1XthczKdrAEHXAOJctvbCyRNLBW/Ayo+q4Ibd/APNDf9NvD3h9dZxWsCyPI/TJ+RRwQj82ztbbRevnzRFv60vHb7YQhWUWskQb5Xn7XjBJ2+FOmintT+/avi9vaUORBpJgV8dhGgfLkHjJidcZhSN027dXubGPsSmDk5p/lkbduKQ34PO8rXQZeZ6Rn/Yda2MqJjX9DqWV3kdxHVSlWXR2BZYXb4rlpO3pk3PShXQjyyP4AUng8FXnLbDtOh6XaX/cL3LQ6oPuV+k09RV1mOuNSz+rK3jlfu2TRXfIlh47STzXm6bddFJTzbniz6anXXCbelwug6w6JS8Y7Nac3Q6qnhjMR4GKzt6DKdu43M7dHKG6Z1LnQwLvZr8i8Y4wRFk5SDFZe1jyDxb8+HxXtYC0nvud7haJc9fwkGWDzt9mh1iVbteVyHvdjJrjl8fjMBDEqxhrZn7WdTveYfNWL2bNjOgj8BgoEcL8LuNyH03WOz0pFHExobXCkHjtuBk1MM80Adesdg+YXz4M+M7rXf10+WsPz2P2ZpVWtaxXcZJoGtuw+duFVRK89p2wgenqkb8cL1BrlZzMfFUQ19e41Ogy01ei6ZyXq2hJdMb4LLR84SxGSf9VbqoSD/d6JVcJ3gD7HwSh2CRgaHMhi4iQF2WLvmr9gGEjTNA7Wwuyud8zr+qnb8wetc4x3j+3MAYnhnOgKnTFjRZ6qKvgnVLnL47sP846acj9t+TFJjWy8h1eZ3H6xoffKSovUqLO29FdFT1FxMjLDKzwM/Fk/G5XB5fpMoQe3sRZ+TNBmSZ76upwsNNPVXE+ct7aav2qkWWAicvndR/5rQet0KCsFAYLW0N46/sojgEuDbRV9ZGWizc0n+Fxx28Jkzeh9TLlYvyqZ0tPZFS7OSQlcNc3mikUqS3QNDUJGU+CGAUcN7M56UJGhOGx5SzLXybcQoLRUlB3OGc87xclDFF/g4mGXeFEc67YachTz4qdTFA3ky5z14fG0FEDy/7SOV3dMNts9KeFz2CETieLbT9ip/v6Klq8yb5fGElOtG0Kf0BvJt5mBcOZ2ME952ynhXUN9OdsVyCmvPt5APTzd1zp7MkXHNflY4lfiGTuKpAV4SfsO5udMV4CKBIn3PZSBTMBVTBcoTWYpgBfgxyTtMpOOuOBkp6nvFXpYKfOl3K5I0BPryQ+Uar2+NzaxjmOAhKZyzpp7fyqjJAq9+5aA5AqXjSFwVwBScHE1bXb5Q6zBfm65I2MJT3722OhrXfDPeX01fKfEGuAwWv4Hp+pvvU7sLZZ3pp24TM9P2NebfVkXfz74VtVs6rOxjfef4i3e0uDc7Yd9KfSe+tF9/f2MW+g6msj3+g5FuvbBBghdVwVvL6V7Z5RX83awphcbjQj2/12HQU8Q+n6hQzugqnkvWAfY8ycy2zdjzoyvSF5f+Sfze26ZXTrZVNZZaFcAoWr5z8Qe2r9MXqEyv9fEXvze2Hov+I6x05cOOVbf6qLiDW57ot6RnlWN8lpTr8T+a7rB/muVfMqd8zNiFlvb7IL7jPsxZCje/i2c5Bufx+Zy2g0gV36YWOutDwXR0VHOndl/SBqv7fU5ZSFexQ/l6ctwrZdMADVYF7W1LSX8JTifORtwpKCL9zHiDsgvXfdBXKctUeCtpaeLOEdwb3kreq194TDsKc2vEV7iN6BW/pJF+kGZeNAL60zuvlJXzmDV9hfv6oTKjGvoDj7d2rP6grLqmiyyrPaPPupJvbOoAv6aPv5K100lDuH1F+/znTT0fsHzDJNe5ypegQu/Mn3PNzDE0sCe6w+y5p0X6X40kMaeRpH+O+KY+yF68v7+Kxe6nCPaTneE5tWV5OfDxj3vWzCF2dzNMf591DDiPmkQon7cz1PsrahhYMweCWwpjQyUz9flsTRMUiRI5Ens5H2rFgR/yciHkxo0tvj6pzYS8T7yZsN8LLdsnmaCn7riSsQ4Sk41vCGHM9QnQoinlmfsinobzBb7uszbEa8G/HR6U+zYjNgivbztcxzow/Z/LVPbCgeSIUnaZrHkvubPMIn8Igt7HKdzBWw8rK2Gh7zt/RBB//VuxMEp1KH+9SXRTNISmUj7NlfFD5cM9cii4TvpuM6yGaaB+9nuOT+j5gOq7YP1aelx1qRp88JrQr2MeIlN4Q5Tt2qTLtKqh/R49SzMZoZbh425Ya+s7PhddMBdccrXrC77/UU/u9kcccE4vmVKtEZ10BEZaSku/57Y7Rcx2XcM8lKeNWtu/Sp36MZoXaUirbHqsyl+9UAY8f0xPxUr/DRCd+M/8PRxelcbI80LVNrfIRLgyGdsJ3vy/8buwQZEMt8DTCWU4hAjzLQfvO89Zl7+xPiG7Vmc2j3u3B0fWJSm8Ni2NUX2Ws8SKZjbfthtVDnVb9/WPSm7RxNyzdCauiMaLZ5ybdA8u4PLrRrTaP2qQr3wlyxTFlfSMcczfkk+3+NF50jR2yPrZjx76eQPuWkRfxwWkJauF3RCOMa1fd+ESBY/IM422S75M22mUeKb1v4b5knacfHE8N8BuPyLCHI6eOWU+AZyMXY0Sr+HeeS7m9JXqf+uf0YHjCjeE/dAoA6z1HrA/IkFumN5lubLqI6S9UH++wcjyxvtwQT2XBzOsnyWQeTf3Mx11PuTXq5IUFk3e0u7vf+a4hwJJ5V+Ybs3FNzygZP6Lfc54ZAfY8FgyZcak0mT1CP9FKx6ti2X33M71M0rTrcHwUKqfkbMoLartF2WWOBV4xafItZyy158+BZZyZxrPkYrv13eDUbdAB8SwZ8OTdeWWxDdtZ2h12/NE2GVxoc6Hxqk2YJNtDMJyvgPg4KOWzOWlz6o3V95DlJgBjzt17pJROG0WSN/Ez2qbjJCap8R/uyvbdaUr8xiqKssiedTkwHhzS7cfURsTJrqOz/qAzHRJO1Zh5ZB2XoD/sZVygU9cLx5rCMqeQaADRTkPSIcZnY32X3wUZYI+K/ln/k07jcBW7g5cyiO+CXRw6GfHiz7yt/o7tEX+X279JQcdMtJqdsIs8DXN4fec6UhLHhv829GocAC6aR1TfYgMWn9606QcqU3+mvmS7pNTXUptu5+YuEwz+jHWUQu/bOcI09y/Vt6TM0wtajMBS/ZlHVafSVOWrccw4LdoMNqUWuE1lMy9dbMsCLoeP+UKReC2qms+ekq0SYKd+eRprMJ3Y1/5MfqXrnLY+CKDHsCMHDft42U7Ya3ynHbK+tjHqbGfHA9uU7KTkvMcgMJVRhuZLwC2Ivgj+RiciABh34GLQkcxnVLcCc22XdzGO5+EUoMRrOW+mAbOjDdZJdN3OdnvF7OW8wzbNhZ1O4k0WNFYF6pZz3uAazIP53a0+Rjy1d/tF4OyLubnCH68TtDLLJjLpbePQwOteBhtmJrrrK1dTzXvFXj8H5rHfzLhHuW3wriZZWvBvf17Mj0WfffeKjTuevVTxhkD/R0w/HbF/xGQMrek0BmwSGIUNQ5uV0SVVzEX5xg9q0gRoLj/gCffEvmACt87VCjYqsxybULQXFqOUyugURosSKpFZlvUneMIC+I/MY2M8rECxALir9/e0a3X7AmAxYNUuilfKrBb0cSf8Mjx3r3MUjh1rVeUlWZGdsK702bwJyvMemaUwN0WGjvyRqi/p+LIAx117xfuyTNE2K8NvR28LfFFIKICA63MfdyrnCp0pbZmu01y7S8EpkvHELGanEN3MGUUaA1M6aFFgcZBslBtTMHUoGi/xbPXcRZOlOcRKLETdAasC6DmU0UvinbS0OBeQl/jmEuxSwWL4Z1lCdbkxV4wTv6/olhW+yllT8t4MB+YQeRaN73L7r8YpL3KE9g2u9KkJ1jD/Ur2hnapubnvDQ0M9RQCEl2X5n2Wq0nzIvHQ3bpux5D55noM+j8l/Q98dEJny8F25luUNwTDrXvtkZdn4WhYPLE/DvBqO+L0KcDwHSk/6K477yYsk3DbnC2nT/8ATRx28sObdsPGkxfZQL8mMxeGS6du+G10W9OjBYhQk5kdED72y3K1vu195YZqbfaFL9jyZMaPEn8OYdYkso6o6gag7UhMe+HCi0Jwx2hz9G3O1jyM9o3rKVOnKxMP1GI5zbvNuZ+obsiqMpc9b0vN39WUeVrVtOOe+b+pc6uEjTSta/Zm+lHZOK0/FnCxlQDXv3tU9Azxf2MmZZNruyOtcP1DP8QX+gje8Q2tv69y/N70rK3+kauNzxdwO6d0d8Anf7+DolZ3U692M5XiXvy/3xLreUdfxcn6kvO+mvPhuV/mwbmBO2JDGGETVnuQn6xk5pfZeyglqKztUl37QuywjWdda+lfAt8w3fla9L+Di9+XwMS2n72zXLO9v0ju0ap+hyg1uA6y7+ghO1lMhg87vTqp71S+2v1RIn0vvdtUX+uLemfcDcqjKk3G5q/MdXr9J7/CEZb20GuOMw7u2X/UHb8hOww/bgwU/WeAb3wXr3Cv5x2ZOut2SXu30ORvjet1LR52a7BYyMjM8IJuE+gXFdMLe4ZecjcF+Nh6T+LYMpLEzM/OvvpYT3+kpYa2bA1y5XOhfktOLfSkrjjXhe1knKfhDcKxi0Jz1k+oK/NSqekeWvkHnAZY339+1HWxosnVuYQzyouf90m5fvZ87M2jc6Pw+qDj8vNuYlVJpg5XjvmPc97AE/ewLenE1jddMiLJoB4OB8s4JOv8E6acj9g+YOLJdFHFnbHXsDRAFFVArK0MALAtwQ4i4MzTdyyPDERx21AHlYlOGKSzGG9MZGkx5V4jlLYxt24UZ8gBzhw3BHoTiiPIonTCYk5fvXqmOHIxGEHEyUiqWutPdLNYeC8ku8GUutJ1dwS7vJrM+BTiWr+OBBrii4B7vBu7YuRaOd7L+Zc1qx3AHU+443eQtyvoOkmaK0Fzy5LuILZDA7/BhZysPB99FlGG3nSoe/RNxOI3luWM4Gs6IYz7uY7K7i8dNBBNGkRlRDCqX5ijTV0UjAOZCscGV0VkILbs3tdetXk8oY228GmOdCmOfv3H+u8+Fo0wH/biDlKL6TOG1fO0x3wE0NFnxTDixflrdLfOjhnIeQVBGRgccKJW172fqI7C9X4935LGybPyv83v1iEjP9xjK70X8WTt9wfjxo8+NOVcIgMHXYdGSRDeRjyIaHFaO8mWjM/NSG/ddpDTjZVlUIPqTESHbUl7GncEq1yiuk7TF8M3jorHNsNhAc29dOJs4CLRLeMmKvxldXW4j7Oj17ybOaazlGrvBjSboPbcZcEo0GRLNrYXe0vx25xPtKt4Z7LzzNBvSAPz+WOehdqy2Sr8X1hy2RycWsXuNPTp5LAQ959jyfbArA4h06XCluc88ZrcwmPEEANe3hMtUp8PAz6v2DVc0h5Xph2mEHHlZ9vhiBvMIg/mMeT3/Y2yMVswAkVGmfQjwgOt3NpcWmlKGMxLbXGSYPMfLwKaYIOxEEgxdS7HQbk4K9KO8x88RSe67VdHfT3wQg6A6IAhzh6OWw6JKKgrEsfdTUOzdicmsinmY++LPSc6z4zPveIv3Vs0XfK9OmI90vy3rLwEsq/PQ9Vlqh/uyM7YrfmHyxmVrMc5hZzXVY3dOBlp/RSc/E4Axr5KN+GpxqnxO83h9H+m9vMNY4jwJ9D3KBpuS3t0dPfaVo8+qoNudDvmuI24NGph18/tsay02SrI3s+wVyrvwrDdSNe8nfvMLRJ6UdmpycjkVaKTmm8saxB28b3bN++An92jQTfw3tPPloD+ujcxxScDT2PiYmr1YnU6W+jF1CQlzQY+NTekVZAApD+mr9q6qI+7mlthWtvt43HM/rE7Ts5TasTI5OI2nbt4Ry0FO6ZSOoLsnZ3WACaSLYM3DsMXCxTNry2zDN2gw2w37jAQbtT13Fc06uO3gIB6yUVHjuONuFp62twadNoCaaG3aFuk6kJt+cbLWA13IhD3YLAQPn1gFLn9EHIU85BziMsHxlmi5svO2/Sr0msDPZX4Gu5jG2Zx4DmuaL4HHKuKcqmyCkdfWlhhepbwB3qTnKzBtkpug7IALTnktRxI+qjIo6J/Gy9nuqDvcbyzwIHQA/SSloxj4TKuKebqS9nxC70K+qr9jXF0nsXWTBLvBbbA4nONldsjalTZRDkScsfOzWn9w+CTVk3F6TJzmU4DKxDiUVB87Y00A8XwmnDk9Gr3ZSUN2KoOVK2AJpprRsAXweiZG1p5BVX2NdlNVKH3Pc5Xl6VvKzOZ5nufFDtOvXjexO3Ez9DmfTJdOdZu0rVj4QCHP7zZ2vAf0fd5l09+L/Nx+GbT9zyD9dMT+AZPakcMAFBqEtRtHxWS9jdpQDIEqZRkAYRHHn6lS1Ia4g7hn03EcsT+Ix0/uJnoQQBGe5chaqycJS++TlWGmiciQgtBqN4yEYL1T2KyevMsjGIep7VS9C8vgBKF+CRTNjLaGlf0XcJaOEMx6peqXLRJoH38/0llTHVwuk1eiFzeE303cbzZybayz4uQOeI1428Fnj0e/5gJQHL+pJMtUdoRoNCngNg890uiMeXzRojo6tcJvaqtWKkjRAvrOVup3qesY/sz44bpHgbgQWyssbui5skwR3jbHMr2M/I4Wm9syjoC1OXnFehbleLwLNJ0VOIIx7BQbbS594nnLOEm0HuaUBQpwAIkpmjmQhd4vTkhbwBjOqfZNod904GLQ30Nn9QcA2xlr7I7xxc3xsTAiy9iGxHRoyjT1e0eD/FktjJRGOC26eMd2iehzWQAS9ONkF8Aw5dyBlTcolVH6E8IxYp+57cUJyp8J7sCXif7sez5ukfmSL8YUDthMw9sFZIl0aEE9eQdludDDdVg/CN/LDt2krOuh81hta+MA9NF8/NBsUlsd4o5Kjlz24IOLiJNwHGjAeMQRhyUv+ljeXsmsKxiuQkEh9s50B4nPnV9aP0+bDAlfT+C4Zp+NHnr/Jp6a8dTER5y38pwgfuxtWZ8x4Pvov49PBAFh7RxPArYF0Ceuhr5TOuMSDKDu+6fBDBo3O47xRYQ/G/BtyJwD3RlrdQceiz6/zDALzp+bSGLXM/PcZloZYxUi3E9MHbmtiy6hO8UOpcALjIbD6SAFHNS21zF0da5nYZKEg3UCFfmp3HaRIJXpc3YEzLWCXqwM8fLQVAHDu46y/6DTcdBcvBOulCR+fxfNlY2z2FXMBKoU9DdZ6HsGdGpZZl6zkOZUnic3iXn3kpLOdl8Rtv3M9e9ORMqL/Csj/mKSzXdru0hh7gktMjtPVH9XV4AAty8Qp+x3i8NLYEaxbuBX/FzpWdLRXu2ertpdHKx5bA/ia5zNdVSZvO3EMg5b56GufbfvWcbVHVgflTZNoqudvcdyXRN8Xpb0yRwotnPesP4SyuT2XuDph5ywhEPnW0CPViOYt0EF/FsS7hJOrZ4Fv7oMgQOyzJebvN6fw04PGw+PiL9SRwrwyHs8rqC/bJuF90YX7Hwuktn2Dtcd32IZxfRV6IAMQ2g/6XNlW5W+kn9nNSrPKcqnuU8Grz1ivpnnmeDekTpVxwi31SlEA4Rfxsc8cTG2a8fAL2NyN0d5DDdzNdKNdprNdVOfRQQa7pvKwFJ7Ixh953Sr5iswx6ycf/abgjac9zkfY0TDdRo91w0GyxiAnvOEJzwJsAapUD0iNJe4rbu5vaFzrw+YawY67JRXc8OBhetltqOW+xwCKEIZw3GseOGjPI9THV9NWU/I+mTgK5lH3bWXcVPhLs2XEgaDcdfMq5MvChjKa0SUnu/4dfZpXHgf54lnR9kxG/zK7uAVwDfz/QXTT0fsHzndRGnGCBE40S2GBwnjngEvGalF/fNC8YxE1VhmCBrPR4tI2bmyu+tnuyhG7biQY1iq2Z/7pwg7AqViejLrlzaM/7VmL2ICJCxoMaxUeqfQ+w6Um4bceURtLZeLc7+l78RkY+4dBduF7qCvsAhO/eIFkllWsAgmeseRLXcO8HlvWlS0lgUAFH2qhGKCh51Hkp8XiubihOW6c3kyItTrHHhRDWOcFXLS29Z5UChc/qrFT+4HO1k9si2Vy2lx4AcBmdrYKLhW1o12bEkD0L4DcDaa4CgUroUu01wKgj0fw5FwHUDZOKFCufHMdysi9hGICubW6BxGcnugO2DtyNOHAqf2nbbmyHnQnG/iziCYs6ZJxyHPFQLGne+VUzL1fe62jXgKfUmDyWPlCwjpmRtMie75MyzQYJa3PIrJC9twYAvJFc+faZh5aOZlDEvmbwMmL2tRphjsiWHj4ICcEg0Hw/cacmI8azbWvDPV74yZKLxzjAPwRRi1oCvCkyi608PqN2U7K9Y8h4sJfDwRjT0DTHU48gQ6+H4f204c8jxmZDOP1Yhi7jvaZd7RnmVAlVj/SHwv5OGFnkEPznc5KhuItG/lBcAj/RZd7vruDucVTEUvfz26s+x4ih95DtAcoAJ2D2w55mnM7ha5nHcdUUZF2dGVBV5LWGQCpozi3aOBPwCJD3HZ9N6OLHaZr0ve0A9F371rtObA5U5zOXEcdrJbEeX9rHhDoWtsdwAlXaG+g25jYDK+khPWdb8B4OKYKnhrXoThY5GXHYxV/wsQs6OjpDk1XIv/nuUpW6KZ0H5Jd0VbP9OaXBZPJGZ9ZM53KrdT1jb6XqBjorkZ1Bb5RE6sv7ozFenYYQHuHGlBr31zIWpxJBlvUKrjR2ktsSStcFrgs3Je+Pf87g3YzM7+ytF7/liJPlDI3mKHbLk4mmV8pZ9hr89s6wXxP0VYb7hLqx2u6zu7Csq+F217qk4mo8BePwnLvluzfw4+lvjkneyv5nO2gbdJiY6HXoBK3x1jHew+antZ1JU575xXbPhMSBSAvNjtdzK8ep67WugbVTXOXyXCsthLaU6Vcm73O72rnDWsr8JZ5NC5z1XX6ut5WPDUWYrtWutSm+2OkIj/VDSwc8yFMeNnRd+CA25HD5knKtXFAeGKZZdhqHdHP6/osJSH6AGgOuWSjZEQLq3f4Xon05ns90HwY9JU1p/CeFbJ+mf4QeK7aTysfbblx4riLFO1QXUEmx5YaC7k4V2wWPO47SiAbhZVhJ81mesYHCTs7Xd7I++srvROf55htv9GG2ZHsR6hA6YZaD/nZLnWlODY+p8yH+FkY3xMfpvXDks5yTwaVMZwKJjT50DYGet4yHhGkjE6ePwxdblKD+O1Bk15buXmzbvFocpFNOYzXbUM6qO+5N+L3qhJR3nlUCW66Gs9PHmKNotU3U/7KqC3cra+o0stacP3y3wES9Z7M/4rf1FIxVgsbb0D118g/XTE/lFTcHYBUh3/5Bn6nxxz8i9J4iQNwjE5asR2q8g6WdkJ0u9Nk7CoxwxImkm72W47ZV1oQty1sMBrj4jhqcCPhFt2OVD/+FhlsTor5Q/A0caOgkPnMUQuOOyLDEVqCpW5wIWoZBVpHqc8q9NwDJLSUcs6+hDrj/XNPtgCGC/CBIVNl+LRmLA6XZkZShAIz4sM0VjRUn9x51gSCGK7SqmaLtzn8cPB8G2xfwDmnbAlFEWfjxnpl4+PXnZgI+I5JBnHpmDC6ztqBUkjWRUxNuryzoIJH+KcxfxuO6nag+oYeeWyvk5Fx8dWZ/3cz4AjVkBz3mS4hEX79XWqnGBvA3Y7zjXNKT8+ipTfZYGbj4I5qJ+CcucqG2ZbvKc+TzqbeX13nCmx/E4jHfk421HEH3YfrLoTVr7Z+Wqdl59nB+h5PKCXQC/pO64eCnlKH9/WjWc7gti7quiOHIw20XfEZeU2OxKXABGJ7xceYmPf4M7RTGdB6ZJCfyp21ATniIwxb/Bd58HRUClko22/25d4tB7zOS+o5CACozX9GHTU4JHzDHvQ/xiXF+Egte3Xdw8aaWOCRpobu9yY9xDtel8JT+2M/Iwdg/IkuqRdl4FO/Yg/go/aEO04kAa0DyqnmLt9DS5BDy6QUeaS3vEzDZjthH0WugFdOxAMk4Q/x4+9T0q505j1jx2nIxiiDV5hwQ02F66Br3bq4mQt6ekR+2d9aEef88endFnRZDlBxBegB+32dmObU7as88T6z2JH0evxiGm7A/cz8bBKZ2F6Zv0LVVDdLOMLkx64J2F8OMDKdK3jibl7uRDkU88kJkT8ZC6Gdj0lyGGJU8fgYo3B9bBEO/5M+pUhvPM0yHPu30V9p/eLnguE365zbXYIVmXKd6O9yYNGf+92MBKCbp3FVH9+n3lqr4vzEDMrxtjr9XmgeHt353/oqcUBNd1ZFMB5c6VN9T1MFqxzIugRMh5rCACq8nS4KkZTzBefE/QoBeiG8safdnT6in7Hs7zo7W3vaDrB0PNK0CesfH82baLtAmPS026DkRxukvsbPhPsq0puLnN68u8aTo06SAUa619VX5Isi3Iiyxj1dw7CQfdnFzxxCQTi62zazNPXFJTK1/0JMIZdHHA5PE9FSPPuZrxz4FPmo1beHQmFnArrI4Vu64v0SUd6RWPu3L/RE4ym8qlIwSZVhq2WAUufrV6Cn221asFeEn0wPFV7IcDSEusYisU+UcujBRxJxmYaDE6SzJ/uxJ3jQQO99TZ16Ci9QWnip02IotuKV6qe9SdQ0Pj44vphos0Ma6mzGW6qoMGdLGL2PXC648XLuBPdu/2f6NxhH7RU0tombedIGtNg6yb64HWErH8p4vxw2xlzCBxcod8V36b2PU+GeZHRKYsW+Nn1eyPLAk8UhN3adnpSecexDADuaMVgd/24f/fA3vEuzsveKT4hrTHNcL+ACZvMj8VJTkHJSvC4bcmOUe5L0rG2csL4piL2J48p83gQD6K5uhz7vWnf5z035byfTiMy+JiWCX8R931cjisCvswbTNrLMi7XuaSb+Rm+V7y2lKc3TdEcLfVGo5E7ppLbI76w2Glhrg7+XAQkM7/1+l6AsL1b9U4uDph6ezxpUnZe/9c6D7+Tg67tyOO0o32sMvafU/rpiP2jJjEtoqdK8QcS8e2Itqr+5izx3fnii3JJu61uzzXPgsAYFG2Nd6OJmJA7aKlvHjltZSolJIFyt82+10nCoHJ6IeLEfq9GYlQiMzzVGexrxM497r2+oj+VgJJME2+UYXg4vYxQWepmyZE+N894gda/Z2PWnK5M+7awKrOe7KSNfcFU8iQKwNcdA8pju6rFClLGXymU27GqcGYKfjKMRRfSnUUFkTWQIlYZsAFMU/I42GFUVEauFQp0pUAuO9USLuZRrohjtaEjb3KhXVLuEPOHKakRF/nYRK+Lvt8tpmXHginKrqQ/FPqhwIfieChEFMfZINIdsaqC1g406XdGowlwiV8NpE/0I4st4rlQ2mbnCp0qKUbZiMzvqzqdtqmPvA4ouT7Cj1dBYxvgz3VKGsMs95iOSUEO35G+22/ul+Wnu4B9F64SnAlP5UJngbZcz7LDF4VMzYZCYThYOXe48IS3MsfsU1CM01wGMHeWM68Vonv/1Ij/RtWKQvy4vmrSpT+GY0zIMOcVNayyfobxyHyH5yK1zY47APGOJNA7G7NjRI1TWU5OHxk++575v8u9td3c38zHc53e17HzzODJ9XW4jUmmZnzsIwBOw/yY6OSl8wDAspBN8uCthSFl+Gad+djvW7h2/PsLeUx/CIu+mc5zfZVONH7f7mjL48dzu4LrorEr8Fc9L3fu5jZyWaZHoO77ixNG+Hnn88XReD9TnY5OfLywJSjmzFeOMEu0Vp3a8k4d2d5c5stXYPlzJY1Vbu9QRcThK4dVVYaf3ZXPNsBbC4HA5BmQt/AUHAO7/Hc2/WjTYH538evlIuq7csPqq3Z85DrfaRv3/XAbk21RKZysUsyRpSEbXA3t3tFGlrFbJyzSmLJOs4UHYX5V8vyd9Z0K/rJdgS+0vjX/i7m38rS13TCeRZ/KZ1V9hQ3k9d9DHuvOPOxOTo73QZ5i6q0YwYF6aDxFRwA8FCo6AkfFnTgyCEGHDbDY7nhvjpR9u9N13k0Jz2VbO5VoNxZpnpR9NJOk0tmof4t+/gV59O46m9lk1h8xuBW0Q3HIKWi0ha2uPF8YrzuaZx2OnaUc2GHvMz0C23m+s1HLJPBggmUdSUCM0vo2vo+jiHtArwS6vlvTW3hDRcMv+CbbXxnmsDv1wIK7zAtm+YLZjDGUhumQBcK4KhDtj6qfiz5Xd01HALDoxGHgRdLxDdtsRfxWEkx3KCz1jzf5SKmTcb/5Z5KveQ2vw76H9Cvr5OH5ndj8yprzgO8r98cC+/qXDXamn2eYjOYqOf32OL13pU3Jd+17Je+T7ClpWZcv/yTppyP2D56msbTjmFOZd8NgRCWHCOOhiPmOVJtsFmHI53zfMRbEyeqRqCChPBZ/LH/eBRoMhzGJuJ7xsn+ec8eE7x4ZOxDtXi67DL085/1GuQq7dzk/mDFJAKcygLhejpCy376DgvDbHmlxGZhHI1pewrfDRTsmunHI7VvHZOYF0Q/TiuOAYdeAs9X5TEpgVkozXiq+p8DinDUctXiE7/HsY6kPoeiY2R85BLh0KiRAvN92RF3p43CQlnt9DI+n9VVj9JEAixAYAt0can28xd8BY27YfbvJsZSN/eAQNnLkHVCkVJbKnhCqZc2fyzTasaj5PRCO7NyOozmm8u5UQYx4pM+Q1xS7B6YjmdvlKjmvdNx49DKVcQWLYNEEvy9Mjno5kISdaY4Ow6WsuHLlbew4NJ4qijC/HCdmOD8U7QG0730nrP7pgnw0PL5d+Pb9iY/zwi/fPnGMDjUV/L9nw+fnidYE2g60S9B+PaFXd9LK1XfZqQzWaLsIk6IaIunDvI9jaLSNA8Bz7BAkHDA+AYTddIZL28VngTel0mxjdhj/Rd/xqvEd7LnBZfhP89PuYZELOH6DO7szjft4H9RXwpfRnPVBx45tHAO1TFOGpwu+A9ngC8dSGX7GHGgfCGPR4TTiGu/4DuxqHhZ8hOvTB5XVmceOw5ZrwuM8J+3mDkdokTyyfrdTJ33TnDuenR6vb+r0oTy5JNbreDT8h1MBhswDIGNhyXcrM88hvDg81s8ntSsD/xmXBstosj2obpmwKwAdO9od/w/1o5fCLl4FBNo3DsnsI4+bDEdppgffCUtywXlpo3HIXaH55XznAC46ci4EeRndyAYegsG/C7p8A+LpIAsw4m1MelLYkcRBFnp9CLqrCnDwqQcy4fe8ArQPmf3n/iggl06YpcOVd6W95WARdB3ITsEI8NP3Ay5whCLA+fglga53fhEMyzUgQZZJ1DOLY5CDPiHx+Tz5ZuDkpHpc1skcWyGYEyz+/QD0iEZ3PmVi19cyb9Z3fqaXqdOEMSr1oxeyDRl1UJs3+wmw7F6TopzrACNYttFJNye9s911Z912LuP2JCbfY7in3quhnq3TuKLd6p2sdPsqiOOlw8vqLQi6DGgsyof5galjePAyaNc7sPLmVE+2r/j71KttcCU8509NOCz5acKvf9VJN2Uq6pqnriQ+alUsvJX61GL/GI5QJIPTFBg2ZV7MNFuyv4tyr6qvcipOO4TOnLijQZqHgb6WuRq/ZxsREoefdc7ypKAKFoO/6Cu3rYdEfdF0QSDsQMtyeR57Tn3VFcdWX7bZwu5U1nErmkw0lIO5yv6P+Xgnq3bBZFwHO+bzmOq4uqad/ToT/VDot0To4xQaP0GpATKCd8V1J6nHmPq05XW7ufgDaXHeYOLa8ZCDMPNY599VGwfVQ3V5doVf+WM80215KhJ0y9TmYmMi1T9+V/OI63GnsvY5yXOVdyqqStARl0Bes9004jesiyR67w44mTyB6XAzn8P8Te/eCn7BHGfXVc3eErhz1ttRdCes8f/L1rRlXI1DsuGSOOdsUEWWk8yYLoBttzy5PZf5u6T+WEHHl8YNP4P2qg1DfT52JEmb/ZEL9dU2iddn4Jfd6ccsByDY/3rQ9WEs5w/MwICrD7IHe7SIszD+Jqtz2+E9wV7oYgKAbUqTlbPPPBjqgeR+MoXL1jh/M1vhdBuAIUBYE0993OmVS2MFABVPfRWcGzbLZRmvlEdmXYvfJJ/AlWBZduqOZ3kXdX+x+b5JoujyKjPerB8sBVM7b7T1l0w/HbH/ASQWNK4AbI9/wkqkzmRf3CtTcauCOb1UylI97+T/aiQIcN+fd+or7+zEqlzkdnJ03rs7SS1ypIqUeXXn0my8kuQM66bYmzuaS+1kUz7seG4pDyuIKTK4huG+37nc7YLIIeiLwLLQ8xJRlpWsN2DIyprQGNzVwXS0XbislPcdam4MlMoxta0jGEk3iyW5KBkj2dDaLnBVfRHmazNvNi7s3atxsjpLR/QG746GKm8BT1C2TClnh+yp0FMhj74T9nw0fJwXPh4Xvp9zVb2p4HE06ENwXQeaNKie875Y6oN4u7rwAV4gQRqLl4kNrq8mKfD2VVZuOlnV/rsw0Vg5Lu60b8teKX53cy61BaT2Uj4DwY06LUDKuCOaFcqTF9u2/cxzn3jxQg82p6xcMW9DkWx4FEqxjkYkrGakOgzH74yvzn56vzOsb/Lu8NvpPh0DR/PZ0zEHLvBW7OdeEAz5/VfnSMY7PQ8BGPzc8MRgGE0KfXciTaASDUoxzpZn4dO7PpfzW2rZ/2IOfmnn3lfquoP1i/X+3vSlHYWY+mWspH73Mlr7pm/hqNo0/ndll7yuPNzA8TPtkwy33B0NvstjCxkETN7yJbBe2Zlfhe0H6rl12IZ8b+qTX5BVP8wTchs39dzq078nvWmHv3TC2u93eORtP3dM6AYOzlbxJ6Qx352o5N+TMpY/07i9clCYjPySzr3RjSvbZtv2Bl5/neT4XQrOALmfY6Htd9MrnvZG2UV3rZK8kINfSXk8qkS4Z97j+ijZkGZH+vUf1szZlT0lr7aiH1WMYzSRdj0FmlQpdDaC78+ZNrY1OzwdhnfaJvuo0jsWWzRn+UH+vBvXsP6zw2kug81co35ZeRXMgOKMv1fwyfo+OPQK3XJZM/nKvH2hO4f5yLxvJyd0AMT2K4p8uQOEnOCg9YkXm93aqEZryZGbeR/jy3f8ps064VSmopt240I/ErgP/k7GGl28TFV7Evttpyn5UBjMXMe7SYDqSpsfSUyvfR1B8eqkF15r/qFkY/6mrvdWgOM7u2I3xZf1dNnYhF/p8hv9+rPJwyK9Rbd/wPTTEfsHTD2SuM8eJ8wcoeq78OKdoADiztNM2JaVhMeMqpEoWGS+53s8PS+mUe3Rhbzzk+r0tiz6QjH6KKG+oBwMJuW44B2jI6+3rfM3MMvwZfMGr1ym0EZGGe/RSogzJQjjsw2hQmX5Xh7RVMZ2ehEcaIQbFywmCWvuybuIs7Kmpzhe1wjDyLRzNK4J3owvxiUQxzICxngivLBgSIsDO0ea/wb6EcTjSKjQV5ngdCeGxDtibWx5Hp1jXI8xxhT5w+fYh90vO6WxaY/KS/BbJJwV9P7v8Eap3nUAv8+C2yjrMYXuxNyBSoqg6CpEPUp4guxKoe1uEY6KY0Vsod051nb/qxuOPNYF7wk0zcbQMByhxguMH2HumrNdj5g05Liy6hPttRPAB8Gjw6+ZDDGfFwOXSxAG78odu4wb796UvrOuffR7Ydv3viNW/9SAR8P3f/Ebvn088Vfff8NfffSdsAcB0CBo3wXPduC354nfnl2kt6dAx1ZSNup819ylONLOWCUaPGjHWxg3ppFBT76TjnBj+aryS5s836mOsFMrz3sr46cgRJy6kWBtJCW5fRAtYD73NjmS1Adz5gvzS/v9ldUiqu/eJHgW/ixzJ7o/T7tnQbsd1WhKRhT72JUWePYUNQOXMseBdvoyuItMGHUdV78v1PHMcFF75bwd975g3J/q92Ub7TWZu1EVMYI44Th8Tbg8PjsgHEjGQT7myDa+pLT70+ghwI1Zfzg+SjHtuYHzNnYXK9B3sR8YO2AxncpMSHQHrtFej14m+I1GjKfx2NAujLDw0SZsvJsjGPDMN+nPd8HyPLPIZgAYOlE7RzDYoGe7m3nnoPc2E38I+OW5abArpp5inaId4DJopfdt3sOeTyjhoJNKZbJnvV/jfiLD/6jH12ZS+bvF4/xuuXaC+h/u3x1tuxFdNbGZF/zMToLJ9wl5s3ZaDOvV52zT9F9pWKL2vZmDANQJc9CbuV8NfZFl1K0QiAUx7PqUaJfldSi3H4qfaZfoBJlyN6zrLRrxW9Fc8a7cgTOe81FnVdnbo7dJn6ICoR0/AQmYdlimFe7nho5eBh7DZHHxjnnHeHZHpoqZl6/Y6XAg6iKI9VoZGL/k/Gnswp1c/li2fZgN8uQn2nkjlXreG2Vv7RnOtzs5IPHtbhdkJU3i+1xVBWe2/80ZewjpQ+K2FjBlcm/opjPWZpZlVC7TQwWj2POk3wedYQfHkLGa2vSfRN+5jGfivm74wgJ34vdcn6b6vCjxg+DAIp10CTxIsC9BhqZnJPCybsC25JLV8JXkWdXnxnAqjZ31d7TNgZFBFtuJPN/6SQLX97ET9qPh+OXqG/yOBjkUx9GvuPn87YF2CbQJ9Dqgl0AfArmkLz1d8KOLuf1Az/a76GPQ1RJOQve1fhfGzMa80iGpXS5bObzY5s+2pP/eORhxA8NUgwL9bftl84dPeErjzTZhbiq343O6OWse5pSgSSFLbRdl7miS/Vb3tIFotzqdkuT2LcNCdLA4foHIK4C5o913Ydqd8hMeXi/To6+xySWz/TCH+XQkmXjmP9c/SQYM25ThiIATbuxnQQ8huN76R/2d7+fx4cGWHkTcHbHFYBH+moxTz4Z8k0sm3WfYbDxu5IE7f7MOp7FMt+1jE8eT5MZY61SJq8a3gUa0Xs/9zPw5zHF7n/gQl9/eZ68An7hYwmZ9LeTeAgPiu9CaAHn93NZ12fex2FlJzva2dJbnJtIJNL3ZXnc/xWj0OTmAt/VUieajw4j4LMBflN2mnU5S4KCEq6L5r7TzT5B+OmL/qCk5nwBMI4MU+Cns1jsrp2K+UmTcwZkEeeCoxECq9zeJ7wMCsD8+jQQE5/fm2jh+uIjaL+t6IwWBj3WngOOy2m6PhPtQMZwJLsZvBVsWmDABJOM7HRfMVW2UW363W8T7SmIH/OJQBe6ZYjUehdIWUjqScHme5gQbtMtzpLZ8AUMWmlvSq3EDguBfDLasC1TRUS9o1ZUhwnG5aMBj4P3TuWhPCktWbricKWde5zsCL7fB8NDfMuayoeGUX+l5MPxSnmU+vuIFMvvqypTBnfA9F8/mkAeFNtdNjjAA8y7Ycxx3+lDg0XB8NDweF75/PPHL44nv5zPXBFHBx3nhEMXVjm5syzHHxwwJAdxxx7tlv5oIv6Zs25FOapGRrDhnpbL4nstkB9MyZ3iKpDG2erPBkJ/5UBZ0F+ZVTjuazzRXwLrUY1kYbirDc5HnncXiTBjHA1+IxQwU8t+D5pLBx30KoKa5YkcQ2all3o1ijjqvM4V8OPTCYhzPj2IMcvvlONlX5uUb2ePt5HElWisXle4S4U+BcMS43c/l/E/HjoMw7jFYx+BZft/IaUHCpT3czO3FkHb+IGU7nG+S2nB8KtYF8NCWhjYzHKVMuOFJu8XOXNdS70aeOQ+3cRsO5SU4aoFDRzuCSGPpObfH5dkhxYszd3TH9f0I3+Z6Av8cMBsRM08AwvGwVQq6O8+vjGebX4NGw1FVqd8LbdzA/zP9YAp65kR2xcf7C3t4U+UIzHi1o/VVVH5w/t+lN+cCH9232yH+9i7cXC/G/HjJu2ieveDN1U6GbarKjOeB7e3wnXnjpq2tPfsj6Yv1fKndzNv0BT+pEjtqs+2YnbicOC/JneW4x7tTjUh2LC3tZFzxHqnPX+r/LiUZdOvIpXxe9sYWCPX/HhCTjrmsdbziY6RvbR2IeZ4sMpXyf0VesYws4FvmAcvbMR7m2MGp/RSWczhej4bHo0FEcZ4NAqA1AXCOmMg2+FgP8xXWYQp93J//yJglvfz3lH87fyXX+LnNOdN189izjYH4fWd3vjXnTHSk+dHXrTBtauB1n4vxKNe/tPMg33lIbWd7m+k4XktWy4TME5Y1FwL1rh9b/LE9JJibiu7spFFRWZ3UY/oSyBc0GPCQHYtgvA5BbUHR5ng+zDGok5cneMK1TubUFczTngq9OrRf8TFr8oa/cV6DmdtwnHK5qg4t5n8FF8Ne4fyr/GCTXjl6f7SNt3Qn6brhsht407cysDA0Wvx+wY9+RAeOFaztfuVEprfqx9rGkn5onP4cCtKPp5+O2D9g6pGWxnHt4Tjmq3A68Y6AIOCG8JJD506CHL0DLJMz3xuX74bihahm97fm6GV9c+KzSS7FAAEAAElEQVRnHSLdi8bwVVHWwfgWMliDMqixvnQHZ9XG3JWiLuyFcCtKbW36gqE48wKwHrLmy0orKWsvj4FlpeiaY5TrsT4d19zBHKIfN85Jv4uW2yr6GZUzrRdwWbhj9Fd1Bhhg4sDuBQYQI5Epj333n8V9WMHRwcom97FQZF1xTRG35Z3BHqGUtQvKk+57W4IUSNEMSpnN6Qci3HmMTx7n/rIl7u+RaIUyGnYXjvqXe5utiO8ylthHVpyp7qVPC3/aKOUjj+urfFdRpWBKpC1XYNNzXji2Zz4X0rh7/WkuBbwRXU9jGR7F/PxFcf1Vg34o5K+ekFPxyy+fOM+Gf/H9N/zyeOJPj0/8q2//gAOKx3Hh2U78w/VA08OdsH//+YHPzwda6zuNcPTjjXH0I4zlVByf0nd7Mu2yMQMEZ1Q4EmdnnI4dyC4XyCjYJTd40y48Pft4V3kNti7n+u+W6NLxKvBdra7wJ7ryNg8aJzIOZkTsKGf0RXNtGe/K+EnGCNNR3gnL99+VduUJ583LTlusR4aVd2bQnLF8C32PseFd3KLkkFX44oFoh8un9sCZLczrgbm7so2duXxcmsq46z3Jp/Q98MDRTLizRhQyIj6DocljlPjb1mFuslzou+HG76PufbB5rGe/kwv2zoAW9Lu4zDFrTsznsL5bB6TfVStjB7IEXhNO+TgnbGGhxHZNW19Yb7BnprfQ/JTW2+Jdwm5QH4QanfU3pJ2xtKPW22N55eNP41fRKs3VfuIC5eFTL8ZRU+VC0MBH/yTGVYyxf2X5PZQGuRCd/N6GhPJzJxq9q0XjaIPyemfhOnQ41WTsRtxePcF8OekOzO+O59Dr/I4tgJ1ClePZI7XTHb+lk5rnmWLVfTm1oTtk3jiLr/VXefjHTXM/001aouCj3A76c55buap0nGX1vNolWy7WMA3d6BG5rfCM5W3VnvNHnZ/2zOQWdDpacxPZVsh5SM7u7Nysy/fG17xlUKK/0ziPFt1kzOMiYPrdhbe4SMmDK+F36SzSNIRFk5UDZJXVxdHpQNAh1/uI02fTxV5k+G0NRa6xEJ4D3otdqtHxJvNEpR1P3aS74BOX60mnuQ1Y8YrHVCBd/mWAhQXPFe2EhXZ6x6Io23Zl/oKmfd0hDXMjXTwHiJQ7zXL/Eh2onR5i+hvDXbS/CzgMfeSmZP6Vzp4EFyNv0WEK+WY6r8HfPkYg73ftQb2/XDi+Xzg/LvzyyyceR8O3x9UdsQOY82j4vE5c1zH/AOAS6Een3wMAntLtLSW8UQq2k+mXYf2QASdcJVmTE+M016XnKqtK1YhoIswfzO+sT/uz3D+rM8my0t6/0UXYCcwnPuUT8VzvB3xdI9ihBmvWf4vNENz3YBtQPx1XxhuU6jM5MWDitSS2xT0IldsyeginFE485nWfhVYosBXA2K2q667wUo7q4Mcd6X4QhEScdHjU7aDVThgTWDAdpdZc5lOJl/h6e+JxZiP6Wgl63c3sR4EPFo/HrEQSw90k5ns25nlSZdwxXbNulvDNtB5wmXmftWnBrgRX5aT0E3XSSV8LrSfaWfhnyCdzLZaPKd7I0YyvSn55vqIf1ZrZNhU8MPgbivFyp60CISDwLilgJ1pWwX6vTqBZvgO1LZjfDbkQ1hsrvOT5m56XNvA7+M15s3z9Pc7nP1P66Yj9I6bBWCrHU05lNIaVawD43sljMkFA18nTH68OVGMMfHwr75zjcuNoC4ugr4663fbFF90Lg6xSVjdOn+UZKZB63DO0rTFIx0ItDq0doxrjiGRI1w5Fq7/DsAj3apzzu+I9OyU9gpjGJO/yKBXnt+gwtrHLww790ERSIEO//DiogcucsuHNzmODn5RNgJSMos/mZO/5rcBsNzgt2zjmtehTMCZHW82PFJ/C3HbrHM98jPZUcDI95N3l3XEgQ+Gcvx0uH/eBDlaUGVbiHXYc7+L4NOUMiU9orHdRpDJtDbywXl0tdnle7/x4VC3wJeVocRimNrLRLDoWBajuiuTC2EnEnyvf4xjT9l2hvzTIt4Zvf+oO2L/6/onzaPjl8cTHeeGX8xN/Oj/xkIbvxxOfeqDhT3gOp/dzTJDrEmgbFpxFRjcAD4VegF6AXIP+DzuiXCYNkmK94KZQcHleBkfs6H85ZjzWNsaJlzH+PdIzG/dSvLP5QHVnmhNu09piA5Z5DBmXrnQ/Ek/d8GwVAHZMtqQy9t6inpOxkQM8Mv5Ua76uiHBZsEVwksUic5GSjmMWEO7M+FZAnp33HZClfaExEWAa4Q1Q7bxHG7pz74hj0ZxWZY4B48R5FMFPYzuNa0VWrF8ZWRkPPG+r8npocPgbXelwxk6epuOo5VFxE5qTzHvtCK3xeWEe12z8Y8iRZSEVSd4I0YAjan4u4594ITv4rU4xfNi8MPw1QTtTUBXxAQ5oMNnOdJ3nre+S5HFgxAc+bfqEvasUEyp6o5sY3LNN6UcU/xnSrUPSdI4RmMY6dHC+J9h29YcrE3jx0I6PFnWZb7i+M6SdZyHyXk6VcXx755GBWOgnTltJ18gLBW5n6Bvj+jP9UJr8Yx6Qe7doHhKPIT+u9DEg2Jn8zMd9U87bwmYeKNZFH5ntlYHArPvREcelTfgOPirdx+FE1AuY/rncDp8CHClIItSd2uTFu1uQGZ5NWpyPlT0Ok+/F6U+cj+Z+0KMyHlLd+X1wwhL9lrDvu1amcq1l9DvblXHnGPGsrybWPwpc3Onmb1Wf9MbFrs51Zt02wXDrOBOimd24VvrLu2k3z5LeM23T/n1uJugPt+1mfNzNjyy/bmB1PUhXXOb8pdPCdM8RoKmP7oiVj4bz48K3bxd++Rg25OOJgypQAPKpeMoJkX5csV6ChgN69tNa3IFyUXfy+O10zl36whhXTiPTGyt5tDhnqzZp7Jxmi3aqNqNOO99x+w733fxhvUuw0F+QDRkm4pX+jstRVj+tashCxruX17UvMt77ejDZGMsO/4wnnW3mdQWHjeahJhyGNMYt8F/NjB9Qc5R634a0k9kGx2Q6PSBWBSCuJRT94+cL2JkvMr+zZwfhUeafP+NjiEffRIVkWkeENlnbp8R2fLXOwjAzbylpt6g79Id1rUS3nYdIPzJZNnjLdec8N3rUy7SVN4K7oDJg6gqVfHhLRu3a3qSsZy7+hkEjXzq5K4P0ri7yZv92PhF/lyoKtq0929VR1Jllz1t5fw/9/AXST0fsHzGxclkc/1YuLvLzwHAnx+wCiBS1zYTPR7JVE3Z3N5UZxzzpeFL6xLU+tnn0LhvQa4Pro9D23UQcimx45zhejfDANIp6eUGXywQlJwNsbSoWAVQei8xKk4IUxC5MJI8xPfPnIBrKyhLvhKW+VMKnFO4skK0PPqbUZ/ut8J2UbET3heGsxfVnYvfyAP074+nuCCmQUuKKU/+SFyaVdt0E5Yroc4G5SQhEWO6tQ8Ijj6XtgIHdDTHxkyPwvT6LMmOlL9UvCuCiO/YAj7T0u/gqXpHHlvOcKW9+/06kkdEuz0GCxXRuPuY0rCWxw2pEirpjIhsMafyyozE4lWg3YFTwCcZNv1m5ZuXdHLAWvawPQE9F+6VBvl84Pho+Pi58nBf+9PGJj/PCQ/pxUt/OC9+OJz6k4XFcQOu7XJ/txFMPNBWcRy//fALNQjNFUTmmAuhmrBEdhchO6p/wp+HbxEG4UzkWlzQ2dzviFzoknlgHBhXljZ5opx7Xs/TPoowl1iON+pnK6Dg+aBqHPI8RDHeGszpxwcqqOU4HfwpklQKLlgXFRs9SXwIdZ2OCK9F17KCz7l7XvG/WszKtUz99t3FKfj+1O2Sl86OGxeh0/FL9lYxlh/tLI+mONRlOSOYp4TMsmKHPYT3hu8+DAzbxDyiAS/rduJ8STwhwWpUZWd6ifA9O5OSsX7osc26X97hKVYhkoM7ftrDidyEzPo4Vvhxxu+zktFd5/CoYl0I0P5Je4mOVdQikvEk/iXVr+O66GsnocLxkYWxyfaE7pBfbCSXV6TNB3mXYWPbwXLaTKA4hZ3hkErYz1sukndYZ9kUvSDsuyn5XqEjPFsdGmu+l3RAA2dTzM92mPo9XnSDfnzWdMUl3TXyXaWk69zuv3h5bznWRvlXlKx20uR4AHOUvquMEggRrRVPVjoMqLzebbUKdz4GIk7tksvq93LNMb8M+I++Zjr+qcMdTtn13bcR2buZYsi3L9YKy3Pr9S/M48AwSgpu6KjmwcwD480NC3tUxxHJg/q22Bws6ys/tbYICNmJ6vlxgl9s8W+eoZU94CjDn97fAxby5vqiHKnTofZWzcf7of5Jg9u+mH2ZdMNGEcl6lMlS20g8WmlnZwKInSsZR4qUv+QD1TQG3W/UBXN+0f/7ST5TRXy7IQ/HxyxO/fP/E948n/uX3X/GQ5lfYNBU0Ffzy6I6cX6Xbkjp4oRw62tG5rqJzR2E4Ltf6UegjZaKxCPrrm/N+WZeoaEVi3inLUCLZ8Wnvd3ILWOZ/mDtjfNgu5mRkEIKzE22F1AjuF/BYVUZr2aHqY6QxsxLvDIF8Vj/DKljWTKyN0AeS6XmHNJd3PU8jaB4Iari106FEA8+xq17cCcvAbGRAXvvY2T/LnE82gH8fNnB5rV5FGzBcdphtd7EF5eNUVPfBKjGueZ2N+ilTwU40frbTw2/oKa+hhHKYdOB2e9WEwIN3fVy105cOe6QB8+Qla5rH7Iv8IMwTTZ+eeeq4QfbRs7ApqZB5VdsMc6UblnZ3hnMjS7cOzqMDUNlf7p+4G+cKHvtZnVKT5CpQ5GHYAGTbgNvSE4u9vwT15nGUme9tZ3JgLPs6/6nTT0fsHzmpzuNm7REd2boYVCb02EkqYwIYj1qOrYxaIh9RwSk4VmnxKhvY4UJqwJmXwyFd6PFktJ20XB87WyphzxMv77JY+k7Pqz69Y2BP5X32fblX19rm5lK0y5qBYC8bHvtX2dGh0h2VpmyZwNzUGxzjhg5zCB7rzqfYfupXzjdI67iK5+RkDHfNltKd2rPExxVfWpbbGc5WLivSkH6ctiQazU3bnFkWkBRQ04RNkBcLQBOIoYgN+j4uJUSODIlmvY4Brx0NG/pi08f8cQ3IY3/wQnAxNr2fa53cVljUTccroyjrdVoWBdAQnXjmeGaHwOivH59Ju/ccBxeVkdR3pn0ZG9IIPsOh1znaECGn3Ya+JPNUehcMmAfQTsX1C7rR/L0bz/LLhcf3Jz4+evTyt8cTf/3tV3wb58A2CL4dT/zp/MSJviP27/CtO2L1wLMdUBU8jobvH30r3fU852KD41AcLxF/CjdsrA/UJ9nQuePjiGws8HfDz4V5h2Yak0lLCE6nZQGGecZ4Jojlva+2O/ES4HPSv+FkWaAhZysbh+Yc0wPQj+F4HTsX2zlo7OoOqj6Pe4XHU6ZBb/Q05o1+jMfME5lXKPz46DaOQZb1euC48IPhJLsQlF43JGw+2yIKy980/9lRZb/ZYeOfxicS7s24smCDkHxuGX8ciGYHbOb1bRw3PI5yYtyy4zvzGO9nkluLERZeFt+pz5r6DxBtHKPzB4BHizdHGP/VDrtcguO30Q8zahvx8iP+dlhsTrITvJLLow4LRnD5a/KG+zHyc6CAIsoVPToN5gVnHBKDkUyfyzBtdBhf9KD2gXps4mK/wk4fyTpHXkSx+qJTOjkkOXCL+uEBURLrE9V+eoXNAaNdrxBxbiVeFu7SNDrK8gpAuOuZYFsS95nGI+gFAx7fmUzPeiDB4P+bXVysf/DpB7n9LWyMA5brOjV+Gb+h0h3K+djVql8vmv+ZKJW0M/RARddddycK8DgkfSqkiq/mJtNiCgcRvJuMHqcuk+tE0MeWOWgy5FzLvkohQKPMMNv5UjLc7pLhnWUSw/EKfSyTqrwbHbd/0f2zH5yAzmNf5XkzqHMHR+f72h2rRGOlrmmJbV+YXC7mhutCg3/SlU3bjsmmTetHgo3NwcqR/Mr5GmCl96YP3w/AhtfKmDfQ2j7IsBCs5T3ISQdwmFO9rqtnuBk3jXRAUL0m201/IhnN9g6UxzE1U+mOPB/Zdt7ltyJZ3+Q+ZVzwTrqjO2Hb9x7Y2/7UgFNx/unCcV74q19+w1+Na23+o29/j0MUj3E017P1wF0AeIxO//Y80UQh49qMbseM6zTsJJcm45hYU/Bl6yis1iPsmb8z3pxtC30Dxzscosb1VudnOjLbS2aZpZ4U/JjrCXp5Ks9zLW8SKYMFcz3MD1LF4Vnm8SZTWBflfm48q4G3pU/PN0hhcQDaZ17/TfAFO9TAsiBdkW4f8pqK65sy+DkWPIfOMyzMv1jNURDi56PKjsjy2Y+UzrKHx1jyJx1JPNYp2gPzKikZDQrmyUlcr+lrNhHM4e1rqTQeRQr803BBKJidQ8CtO86dDvaMjU9QsmuJoLa2qtMBS+sRvCaz08V2AVF3DtNdIE2fMzLL87w55kBnu9TnKtntDPNWN9zwyvCumhtVeZuPWHfMRh4mDtOX4MGUhwsd0/vubNfQ1jv6PwRzHTLNreBIJjpegqI39O31Z4e0pnL+/K6iv0z66Yj9A6fAdI4Y0cFpZTK5nkiICgk7IsMRoyRgykh+1e2EDAtfJsEzHIWCU9XlzwpldVHOD6yGwkZZi1XHna+MB+6jqK67CZbKV1iBKXhuFwKYqQaFKBqK3s4rUJgeFiV2HbvbCCXFNHpu2l52VysJsLAIemOWbxTkrUFrabO4E5yJYoJ1Cubbar8IQ3Y+7vLfOZM5cjY4koSUkzEnKsUqRoDNOkJfk6KS51JQQhOteLBEdUwZKS+LskE0nQ2QQDdcLjmbPEKa5wfDTXmZjhy3pgQchBeD1Qxr/4+qpjHIbdlfV7KBZlGPh05H4aNBHg2PR8N5NpxHwzmM5sfRI5gPUXxI68azHPi79g2/tUc3rqXhiQNtqEMyEKiE8wlPBzQYFTYMMhRminb2nXAp72J8N9Q8gvBd3vObx4lgCfAtPApLcAM/E7V+iPcjj/02WjS3x2VGBG5e1AkLZ8OoY5o0ZT3jMc+7QKdfiRZPhkFIErL4fS27o214AeWWn3Me40HV7iW/aw8j+pp5lRJd3vTzoKMNJeHNeBL1sy8MCnV6rXtHYyEaWjGDBwTuZOe27H5Ynu8A+o4sQV/Yyo26zEd5BykQeZ7y+7TIx/DwQpc/F0UIxkoprT8kIAht1dzOetV41ozHFMdmlv1MsCzAbOqoFnqsHnfoWb0JXzo658OfI6HPnodPMvGxGPldHt/M0blLcO23B+xlXkZ4LXVXYJWHBY2Hvtvcybzf+nrn6LC5XWTJNsC7p9UwfHaE3ITX+GyinzyVKhn/M92n34unTfl8Csl2N+yb6W5HqoPC82pD/2V0/9IY4IG/m3q8vj/Xog2LEpK5pZ1oMq+QYZLyvWx2ox/c5d0FtvCz3fPcTmVjV/2LTqyvE22QEcDtCUlfsd2W566TRF7+FZiXxWXWZd4kt2rd5W5xehZ8VfHXaOad8sJyOddX2Ca9zAYfZD+iev8KPMViK1XOptAky0OeG6kP+Xd8iMUeCOMmiLwNIyBY0E9SOhT6AVzfFXgo8P3C8Wj4+PbE43Hh43Hh42j4fj7xbZys9DECe/8eH3i2wx2zAR/WvjlbD1kclAZj0Dd3+vWrtNGd3qG5xTlWtUljtOjG1I7NPwFmIG5FEwWfK9usYE7jG3SwjD9gT8ukl1cO4QAzPXbnGNls3lim0cyvqzk6vocABkFpW7p80IQWatt166K9vHa1wLrkvxNsU+7OOmbQZbaZc9mXKfMPK2rtmANWiJeMNSG32Q5MpLVBuAK/ukdUpmN9nKIkNhabvue1P+Tfu/6mufB2omAXrkdbD/DwsU7B4ctRvATqAkYad9eJKl2C7Izfk5SACc3LDEq+W+N9r5G79snOEuA2ILAo807QYdjs8I4OHQpT2a/oy5Vst/qCDqq3+Jm6wCYT1+dZ/kx6/Q+mn47YP2DqjIYI5xC0M05GjtpYFqHSZdhL/bQDFegTN1wsLzFSnSP53bDKjrfEK5b7anTNq7zjoEQClaV8y32kArTHiMR5Fv2gMo4jmf3xezVpZ1yMepw7KBfHjE443Kgko8EVLpm4C3g6iNEmgWlCXFRGtEihPIJgsucnjT+3ZQ5JUjp5t2ww9JjJkkDKUcBzQbErE/KkdgUjmmsKLwDANQoxDVY08IXo+d6AxHpk9skXIytFNoxlUnCJZk3R90VoWmQI9Qz8xXoGjmluivb7SO0YB7kUYRfQSO2BMD8BuNOjxsMcYzVYMNrg97uyuS8+X8ezi+fVwIntsLYxYFyyQqqId43arocW8dh45+vQSd3xRafysoPa6yuSOfIsT6gvjZsfuVPMtdCWAM2M5eGI7bwI/Z7Ibw3n9wsf35740/ffcB79CGK7E/bbceFfPH7F9+OJpgeaHvi1HfitPXCpjCjnC/rshjUwp4Q2gTZxxV2PeefPEuk28K5tcGWiA7MB8KxxCp13INsY8aKsfXeT/4W+syywI/02XskyRzAWJ+A7o/k4MH1gGgSo5ZLjhA2xwQ58cfma7zpN9kbCQuVzZCBjy37LleaVGSppPUQFrpn1O1nhO6pZXuaTIIwPVPRpzdqdsccTy3FKfByqHpiRtoYLlmskI2Xs6swLDXL1d7ZzWEQ6jR19Z3iYW6luf4Yx1sfMLzkSgOqRBqdf5xkszzQ+WxaSaExEO/3bvM3R8P0+LvSdumYom+N10IF+G7sMyLo3J7FFP8tFx98fxuup7wDkE2MeJ949YA5jmPnSOGJuCc4YndGz4+xQcRyxTrUcs23PiRYdp2fnzdKA4zfWi3T2SzpN2MKB6KBd75d4fmtvMZzydQvJYYpGp4ScMS/v+Jer67r5pIX2kEiHRitA2KVaORs46bEekWowLCdIcDk6pt/5WorudfrO9TNvG/h0+rV5YDtyre8B5vGlyczDcvzdxHMq2QwBvjz/bJd14tFb2SE0Jj/TbXJHtz/Q7bsq2GO+HJ9VtLzRbN4Nw8EFINo3uwjzfaDzdEoTAHc8bR2+SUS8TFn+aHxe3kFLsPjzag5yGxrLBH7GIq3YBcqO1zlWGvIGm8IXyMm2YBkdOmEvdHm2XL9S4XXPyqKsSv1xJ4/1L9lFla15m8LYaTw1abyqnNpeXNffPC8qW67cCWvvUr+r+vuXtYy3zbQ5RECpN1GaawMvUJboYVm/4L66/JQ4Llrg1PpxQysLKF7XpFMeN1f7Mn6kaF8RSWE35sxfirENfXFAUMp0m98hkA/zGePDaZ37aO9ljh8At+2bOWCHnn/90qB/dUE+Gn75q088Hhf+xfff8O288P3xxMdx4a8ev+FfPn7Fx9GvtgGAyw2MJw6cwSHb74qVbp8CvvsO6NcdqKKfrmOAD53x1bws6SrwQ0S7kstY9sAfZ33BSVrQoNBYVCckOB86pi7CNu+tHEk07jpiMX8mzWicb5xUVvrZtamEUsNfsSEk8FSiOa+edXvDKV8TNT454MbKAahPVLJipGszn+euOC6M9odt4GtYauMyJk3AN/3O87+yX+l9sFsUGGcLOlylzlPRMH/yunCiC/UA/FHVY15pox+jgnN0mh2xBssYNGlHdL5egsPWPS6p6SbLfZo3IagkyydbI0j97qAMuUcOfue5AwwZ6wi+nj7qaRCI6BT/mQaBuRYKjfyXUFPNI19/yPTG/SPh8K7DtAo2q+rLbWXaK+f+oiekgSjGtNwQR36XrI/enZpRnd4RT0PdIEmKerkPjB+GvXAG3zptk75R9YHhqfT14G8KysEL4fUXSF/xc/9M/4xSNbE5lczlhkF/rW2t66L6wiLaro3NJA3K1++l0GKihqZ2O4hfpTtcVuU3DOvVQl4sXzzOSrxqZCzlkQS6Pv8qLyr689ZdQO88z4tqu0W2NxYFTbkPSr4bO1LT58047OZaubCxU+RetLFv+3WhDEcFGy94BwG8obElVYrILuurIUrK3a4+hquE0ftU5GNlM+Uv23jFl3LZUb8dGTWPnJntmmHNTiWzbISQZPf3zL/ugG0QfOqBZzvx2U482znzQKAquNqBq4nftVTCnvv1RV5X0jq927bxqp3K0LPim+dAMa4buLaLQlUeyqvp924hjZVrX1Q4YqdK46xos1c0Pxd8Z1yUyujaVob/pcGf3vmiYJVf59/dPA7HwL3QIUK73ieN/XuHtqrxrLqQ5UQBC0Dz+7AxLtrajWcFW6gct+OxLFTx85v6X+Jr09/KwF3meVHvq/nGaVkArVLJ12V9VpXJO3BetbWp8y6w6Ranb6R3dKkv7wxjnOUFSJP/B9VLixzLolWC4S6oqYQ7y9YXdL7kyfLri6j4mX5HusP1OzLkR1KlByTH4lv086OJ+/ySJyc9OsNQ6JOv5vL9olmR91a3ybwFwz4pCrlDMDdS130n6//syfhTS3/5mFsAd4tr7zphXyZJ/NDo4EfSq0XIH3n3Vru/s/xIGXdv25Ey8fajuLuV/VW+St94JV+keLfRU5f60rtX63XBIRvsSXPc9OOI9aGQh+J4KB6PC4+jBSdsP1Wp74Q9oDiH5+wsCP0QXdlB6mfUw6M+vuDH/t7kD+v6yV3mm3d3umih/+1o50vrIK9oP+BH8a5uvNjahPeSXjZthjUwW4+gHZkcNJx3a97JndGdvT34O9Jci5m6qbf1wl5ddsMOOr2lMRqft9JX6DXlUYdp/JGDfs6nat2WKtBi88+7OH8F6xv0eTtvEs1w0Mq6BlvA9KMyrWr7hWx41wl72+yP8LcEx9faqxtke6z2Naj/3db5FVp6J1/JN/5SSiOl3brZj+psf8b0c0fsHzG1fjesngJ99NnXd5wNo8D4tU1MMmBUAD/Te0Tre7R9lWSW9WgpitTjqCNuy8ouC0AGC91Zxu0shv1G2Qm7eVI7x9P6x/CPBVy+i3JEEs8dtFZmxEaZvV/sGuDdQ1Y2vlfvn+1WXha3CsFV7WTKC49hUX2M+7LL1WHHNPJGuYOjnKiMR5kb6MUC3KKUQ5AXa3mB38bC+5POfg+OCxl9VAXsntZxr4+esR2/A/eiRdawi5sbFVI4JdBF2Emh94K5Oi50KhZxbHwXWJofQTFx+Oa9tLwTxCOa0+8cCQzAd/8g/VbaYeJ3XZ4ShWO6b5Xhqu4YWHYE2D3VIaqbtU7EKGqKQPadVg0zApV4hFyYDk1uc4yBymyW5yjj2XcL27gJ4ZIDRkbbHiBM9Nn7EOuHTJ7h43H27+1DZ7uCbkR/U4+KBAA5+7HDqoLndUK19d8A/t/P73gcDX/3/IZDmh9R/Bw7YttwvDYIfn32HbJ//9sHfv3tgefznLthrR+X9GhJdFjQxsG9Nh5qnaKkCAteGQc5opB3IodxGuXmXRqzbLUYsl0os7aYZzxmHU7zD/pdJB472PiN46P1oHtgeV5UcImSjNWxfdj6O8a59bpUAJwIFbER0u/L6G26mCQ6XRydhDsetnm/zsSV4UKl836hMQ/8KY2FjNMK9BDfjWu6gtDdNcuO4TQXfHwuQLTviu3A2DyRTpOsrzAsR58T1v/26HMHbdwXm4zRHJzkY7osbuvEUbHwPSNOx11Z43n7GMdLPRQ4MZ2xh3a4RIEP1MnwYUEbtpu4jfiMTGON+D1FW/NOZLtHWI2XSmxLD0A/aPcoGfGOAJbhmyh243XOrzF2tkqn22PsOrVd3PnuHMcr0+0525w7YdXLhwVM5r8wHEio2+EmHW7KQto1qzqPs98k7kPFp7a7YigddvclycMcyOhwNXE9ddHHST5NetdIt8QXOCpYVPtd2TJ2+gJz5zajr82x77/HruJTx25+03GEQnh1OkNarG9ZFNX0mb/7+EX8ZD7ehv4iTWlXxkZo/Exl8jtZnVdsJsJujmRZQadF7E5DqnQHf5/GO/CgzfwKO+js9d2iSuKNVSBBPqI8tJn5gNWzipUAYz5taYJzg3NuN8DHPzTaWyBZYfWYvjtsILOxrBzLylyX/650NWDq7m9Mve26cqEruh0O+H3eTguhAuKlhewM9Rnsdk/sC9iq4N/sFMknDXwpaNzgZdIwtlfNF8z8LD+ZXkOAwiH1uOgy3aw7s2yCJ9uvJc43MrG0Hw23GcVKOLUsKaA/6OLcF8E8qvOI+UodQiafyqctxZ33qXyqp6SdNIdwbvJRPyqdzfS69tChK4/rbb4r9KNBvjV8/KnvhP3l44lvjyf++tuv+OX87E5YafjT+ek7YQ9RQNvYEQs824nf2gkRxcejGzu/jSVhSeTT9eepb6iA7kPVoSNjDkily2Zaz3wqP69+VzZdIujS0W3yBDFvZSv5uks61SHYMq4j0fPEt13vZJgGU11kJPU38FvuV96lyrLk2LwrxsK/TpU0zmOWaam86oQ72PNVUix6ANsxDneW75ankL/OI63KZnq+LHm9ylGfXERMBRPMMjH3xcuBvld6DPMSQbAdp03ax7PvitVlJ6xdaeNB9WMHLBogTwl4XU4sMngLXGztnUR3egwbv1gb6H3wmT/l0lHUBQDX5Cd2X2yfNzJ4Ss9vp3BBxr3jVYBVSuVYFXJFMj5svmacWZ35pJhR79v0kT+TrN/BmnWwJV/BU/2eYsvC8ott8B0dOB0lfDO/a+sJLV6V6bgVjKQHvDxSOMFzZ5vf1RP0IAFK31Yen9vG/vHTT0fsHzDtHV9TUaqYUfhOBkRXFqbCXE64iqljVVZKLb+CJ8HyKm0dAe/MH2P8wykFFJPT6loUo3xMszHj6bSs2jOYw3HGXucbML+T1C497zBW9WZFlmG8i0p5C8akyK0LEm8yXivvBppVHAtvhVSig8Wf5Mr2NBbyUV7ZKHaY2AArj+/adWi0IetyiyvuJi/YuCnq3M334Dgl4RVwxHnS7wWfhXDOqTyWjQRePr461x1gT/mCg4kVnhsy4sWLbdSZ3NBOlTIPIGU0wD2yqilDpmAPJ4sfc5pgccApNRWgHbha3yH72c7uoJXDnbDmiP1snanYccSX2m7YA+06uhO2MkwqBUfTu4QHSWNzi8LED5bq7pRMXXlIzmvjnMu60ZDq+xKcmyjgsr4tnRETMZoLeWqF0IflTpYVfdotAAc8Vbi4wU1e6NrmtXcbPUPSMx/bBgi6w0m5HgAqZFBzkvHumsB5wNRFPHNDW3OhpO5MH6fEmNI8D3yG57cZkpZ3/Pa7YRXdmA7tbfrJ7VuVifcH46jgi+UcYxkGdL3honYS3136nXCxgGw6IPPtrfzY11OlVQYj0JNXFeh26MF0fLGzQcOPSB+H1O8g37LO7DBFOVcGajAu8zz5c+l/m/TWzqLNfOnjWOvG+QhUXoDhO4VWI5fq39HFzkm3Sds2f6bXaRdRX8m9L9W7L5OPG36VvnIv1dZmLQHBD9NKsOfKDNTGWxW+yJ95CL96pY9U71I+5p/ZJnmVsgPuJRw5DbG5E4O7MtxGuBrnH4mnBtnjDadM8ibPzfUAsU/qFzYt9XvWH7RhgChLt+sCFayv5sybtmIEBiv9v6C/d2glOLMLfVlGe3NNYNM1WfOFd/xZtZHgLXWEok2lP7cnT4wjTXV+PhTyaHg8Lpxnw3k0nKK+C/YhDY/j6s5XACdaD97dHIJ4fGUCMW4YDYbzd+n1Be/4qq5YpexIr2j5ls7z2O/aSGV2fNvf8+cbSSXh2/Rf08HSWFR5c/Oz8hc6vmzGMuvHVdlXtkjOu8GJo1Tpu88peW1v8F+ycSIPruup+hAAu9P3qzKi00k7ft+WsUfWV8UGiT+QdnNCEK54WooJhrTKxIeiv/t6vC7mHXy87Dv2QIL/R/WBxfT5Aoq3O1WlhudLa5LcjunGFR2+m+5kelhz+HEa+0rZL+2Q5WrzXF6AuHnn9f2Z5tHvSD8dsX/A1HeQzKhWX2ySG+O1eJfviPPn1e43U75ODKefhrscd2l7h4/VmX8LZpS76rKIuatvGylXPSsW1aZDqWcQxdwpSrsaTLHxsjezPNxVGV7MspWi5Ar5kRi173BAYB6igKSdp8Fg3UQu+9jeLYLJylCD4oqJ+4N2AesIgdqddd8jdfK70b9rPu9BnP2OOwDLnT+5rx1vsubZpHI3GDDHwOobdMMLwNxWWXY4Cy6OZDTjKgvRkZ5jx8oS4QaaZy+ET4Av0UmfWzYISTtXyufwDtrP/TSFKe9C5vmVI7NSsqhT3zlnz9NdnNB+pyXzMDc0Wt/BancOLjxQZ33er7bnfb1PsbwvxhSR0uyABcEE22Vqu3lV+j2PtpPuEOgluGScaCB9t+zz0hG0rwGV5mjt38f9GtKnw2/PB67rwPPzxPU80J4H8CkBqdJiFGWPrBy4tZ2yh6IdwIFxn+RwJEsbgYo6+4sNTwlGuiIulttXIdI1MIXITVPdTAuUd9LA2L3aCD4av2rXs6S6nUZoF3FII5JzMcypHhUAj8i7YMbWLmkcm7gTZH7akWQgvHhU/nP2Z+HNI//xOWk288u8NhN2Qtruef8NzKAtRNlF9K8CnL/1z/aBuZhkd4GOMZBxCbHaDu1j4svGYt6/ajjSsYtUoXZfTpPudxuBEHIpDu07WdV2p37S+FoHeJIp7YIed/fMvNQ/TaLrUOCjQY5+TBwAaEPXXRrdzToGwCKNfVfyRfQ+iMZxyruNA1/uPM/HixIfh267FMMODgEaps5o/WsfOnitzPHmsW0EK6XSaS+TJ/s91flUEd5ZQw7Aha8MmDHkbY9sR4Tf8lFwGp+EwbDajkuWc8yPHIb0bOrbBrvMBSE+RYV4WuO5Yn3G7EteoN3JWUNIDEhMvMrrYmbLdYB0WviYhLtzqL5aZo+XfNrCTodK9flP0hO2zmtgznd+P2CQfH/bnZ3xM3nKQQnL3ZeeEct47o47C3kgCz1U9uEMjJ2/vY68YyaVqxacbCf5LCex7I42X7zXsTsjyOZNYl4pqOEsF7xZVu/Ay7yuqHO7iMg6i/FE1tOsbMnX0/iSHr3jkbu+hIXHFzDf3v2LQXe+TmDvku4FdD17U9UuRdts/HC7wwBkOSvlfLmDf9a/H9ctbLmMsE5G8qXAMetsgimT2bYsnVeUx/rbd8nUZaqj9pedMwR/le6CDYyWbnFHOAifQydQ6cNrepTvpJXU/zB/CthJ5udgjWDXZjErmCeCuH4D1/Xt5JVwAssB4NFwfFw4Hxce5oQ9WnCmPo4L348LhzT81voy7+e4zsautXlqD+o12/LSftVN113v8RpsAtptujhnCzwwPrLOaJ8huI/zZzhAcBRtZHsoy4S8ixcgHSvtNAu2V0GPAR7BMqeCrkL81+0gq4ftRZV40ojQ/bJN9v1j3SqtG7mZwWVSPaLh59TXEl+WAidyw0OWciyzKW8+8RAX/ES7ANxOngq6/cZCR6XvjFXMu4Ar+FiHRxo7g9NsuTTWfFKiHjp1HJvfGLvaT4xdsKOud4LOaDwViHbjAKzUxTM/G33YBZVNXtRPqwq2HfPRA/0Ups08XOxCw5MNi8xP5310MhTLNN9dXtH7wmzisBtMQu/LdSt/p6EfFtC7nBRF/enkILWua/Rzpw8uz5nxARH/OvWO0IWsTKXyzOcSfaSKJgyJRwb780725roHfmbA++ty4TSNDHOuf+QvnfeJdjn9HkfznzP9dMT+AZMCtQPIUiVchMqwMYM54d6ZHF4XiOgLIVgCnevh15LqS0rRtr6Kud1FLY/6Gf4QWQvti7rG/Inh9kvDIw5zX5aFCTr2uP+Oed2RmxU7UzpIMIQ6lI8axLr4YULuDUf4K+N5W1z5u/piceUMqb6XC7r2WdFR0xLGFbC12W1WO94sL9zAFJK5i5aVQ36XnUau9Izv2YHKilkAlPNe8CM88rHD7/QrK16sFE1aGfOfdokHJ2wGsYJX4qe9d0V8HDeykJGNr5AhzMKe3rsz6kjPqV9LsMPs3jQ8Rhtiij61Xc1P/x2EPcFn0crFWIo5H+gOSXmiHxl2AjqOstU27nkdhth1CNAO/PZ8dOesCpoCn9eJ6+rEododsefZoCr47bcH2nWgjfpwjT/CabcAZucE1g+Zi9i2sDR2mLrBAZlGtvNCdCWcx5Ir1zQv+F1+zPgdjvUtkWdas2Tz5BgnBGc+Y/RTja+VT7D4e/tuc5Mqz86s8nieg34XfHE5+plw588N79pxxIZmOQbUb9FxHH0D8MBK0+ykA/pRQnYShCDMiZCXxbXVyXJ7GGm84B7wlniSLeohL4BY2zJClw50IxaTZzuI5MgO/Fepy3muM9xGK7boBQTcOlgs/w/F8WiQAziOPid1WN29j2kuWuPa+YSkcZYNPfEReothiVnG5rD1R+mdg22BBVbeeJmi7zKu5C9QBgh1GtO4yGt6k/ECQsOEKxpmuzbtvR2v6Wwpvbd6c3uLDhPwHV8uiwhM/1JOMy8X4DcHly2q0Ry3dm+Pk+Pf9j2Ncz7uaTkGMtMFSHZh/i6dXW+koCNXMFK+HTxlXx3v0wm205eWufsz3SfWzezRbs5VKY/Bpo0gM0NbZOdVRV85O48b+iS6eHuh6K4tOor7bXfeOAXnnezZaRH0VK+PvvK43dS/OsWArcP9R5PPubhLPnSmmO95gXTLUKkNP7I+BZhUDtgO01c6MuFaUsIZOxGzE3a/oJpgSuPHY2NHTW/TV8cu82OCwWgky0gvIoVMA+HA+g6ghyC9TrtFzy2OGOaqX2/gY+tARXq+G0N7zrRNcLlDO+kIZT1WBZMx09P41ANodh+soAcvHjqvwTj7FRjnqcMJO7cDHFT5MRilOWB/HVfaPPXoNuf4u4aNqYMg7LPWwQltQT9RQsb8WustpF9V9TMu2R56ld6RTVknFMwTlQqe5frrqzrzfOHPO70H6fcxHT49O53IZ+s1MvM63N6X8TWtVVUBL5LKMez+KtGq0PMckGN8I9P3bduMH8K1Mk5UOo//Kl+X1IHxOxynq5gOwUX2DnyP/Eqd77iY67c+rFRP4BvMRw6McVZ6z4X6M5HEV5nnvJKZR4SJ+ZuP805WU4eCnZmbkgJ3G7pe6sl4Gc+MZ1S88i7VV6glmiY4hfD0VjJnrCS8Fn0qaYngeRVA5G2wjOOxqp4hytetjv2WXjppcAk2o0WfrMsv/Zb0Xdcy7/BqMG1x3wOfocYqGpSZL/u9/mw68e9IPx2xf8QUlBkSznYQ+0ahlUtLrlot5pTcVzGMYLoXCgCeEpQAXugKbSBNGJpo7uQUIN8RtYuozrBtkyA6Z4sJbHcC+eTENL7zcba+ANV/7NsXBGfrXMgHONqnOuJYFL77c6l2Z5wYHKTQBGetjcHikOe6U+Vt0oMLknFevClv8c4YHWXSIt3CHOmB9XPAFYwb2/b34g6w7qDoO2dt5xorG5O2EBzFatK/nBeAQn3HoIQdvwl343cbO8b1HE4+SeOehajjI/02ZwQJwyVvpQikOkv6AymFmGMenCtZubY/wi0vColOvPL9hb4GWwjpBYe0y9Icrz73qH+LY8jyyizT5w/BRTgx4zagipS2xVBklpUUuHn/4KyfuugGkRzGP3SSfhPodfguSlXBdR1o0o8qPkT7kcXjncM6jOXWDqgCz88Tegn0ebgT9viVPFQKHJ8Sdw2p4S7KBL930XmHBJ4S/gwPzHuYPmgsM32zczQ7A4w2GdeRXjHH0co9QDtiNfI4VuCYJzowQDW/VpjGPKHoZaUjaAN9Jli9Harf6z7paHmjwZGdo7J9XnmE9IBj7DZF5SQbqd/l2es6noQXTFl6t9ggnJd5YOIDDg/jQbojuGGMt+kqZvG7B3Z8mJPMdhdb47xYMuDwO754t7Bi7qwVmoPV2JucbBOXOvSFJfCD6cTG/lDIQ3Gc/Ujx4zRH7LSEtYEKwp1yfgfPBibFHBuj9zkg6fcmLYuINC2EvxC/dDpLY853XjnNVEEE1+Ch9FxTXmDKHUaNw5v4jOdvU1diPmH1tnPIagU4gG3BHQdQFbgMC4L+0PozkeiGfg4SS8Fz3i7qqN1qcXK5s4fqMZ2ZU6iXed6o61X0r5/gwrvCi6sGFqeIpbSDpWzD3mf9nQMJrcnqziL+Dcp7w7t+pk2iINGS3jkNesv68t2JQFy2NzRpdAl6vFsQI9pbqn7h2N3Csmsq7Kqc38u5Q7Q3ZaCC+Va8v5Z0Gise+FuCseBLZRARlXnHoWj5O+8aitrmdKL4bMIsRf8W//OGNJYF4Qyu0txPOoo/c1xZBilhXmwMYLUlOai9CswRzEBd1/GIL27S4gDnQFeZ7+dYisumMgU5OerlHX3eUFSpMozsfF1ojuhIh+09nbZx7uOmjVfwe1sCqh/T7jf4KIiR33k/Kvof+sDiJE1ts0OC6wrO0SxzKhmEAo/0LIyF1euZYlt93UB91xvbPuEaDHRy79fTNDxbd8H+/fMDTz3wbAf+7vnN8zYV3xlrDth/eH7gsx34h88Hfv38wPN5oF1Cevb4bISrMI+izrI4IhkfBS8r8ZHxeZOW+jSNQxrPMHZBzxhfyAGadc+lfEU7ycm30EuFg4Fi33GfA5cw9bzcDx3fWY5UTk/79GoHbK4DF+XyWPs4F3hhHqugPFXbmng5t93oc9iz2W45LvTTk0T7aQdjTih1QHxgZ5sAhp092n92wJZAwvHJawu+85/7K2lsRmG7N3mxJzDqMwfsAXfI4hx3wmaFIKc8/zh7eh7WJVm/q8ZwoUnSe865XjXnlqQ2hoOST8nh9ot539d2MU6y0kkXCW6uI/QhjFW0qXLwgOUzOSOtwHLAh6DUf3bPDUb7WuE36EwM+4bXVbpRoXPdpkHDb10dmer1EzttbU5w69y1DWxWtj8u4BREGxhFvXfdq0C4g43qy85as2f+OdiOPx2xf9REk9uVZmAaMBKXaQJzyso7EBQLUwgBzMgqYvgydszwwowBped436ZjNTD/cGdqusDZHC/amXPptOU+YBXqVdpdJB2N5CS8OS/hN0SrAPEIjSTQ524dYkwyUc34W5irMe6svFUKk+WxMkkYWRuZub9zh6szVTuiso0+n8MZC8zFWxaGV13/wvTI0GMDuS+GCzCOg+bjirewNkChwFiM9SOFQQJp4CcI9VBJVCwt8AAAjnEkYj8a3ACd9UOA9pB5tJA5Ygf9DTto6wyoFhhYWfa8vPBtYGdlCVPpMEXJlBGjA+cZF40bw7FRohhXDo8pr9ZGsQs2LERx3UplGD6ZeOV6c52mcDhfOzB3Vlq+vPB+RlwaTZgThncwVYvks+JRD8NDzw+Mo54OHdKWlLnhoLHjXVSB5/PsvM8cZ4xuLtqk3wergvbb6Q5YeQrkU3D8GguX8A/cuR36xDw2NcsGy08Ks+gIPHh05B2fcUxcPjGeGWc2F+0ZyR+eo+wU4/ES6W2HfF6+V8j0HHZap7Q41gva52hjaegR6iEDzclhkDkd3cyjTrfaaZbu7mS+7ztMzfFIfE0HHMcnokOD59pw1h6/kcxKMqN/H3zdgrqoKlFAnp1ft4eseNLeRntEHMo1/sZ3NxBAxz4G/ULGfVhjYtkC1KdMg1v7Eb/ziNVhDD5ljqHNcTsC2BaYaLIK9x/zGDg//sk7P7Jwn8fOXHk0PD4uiKjvYu+i7xjHiKc5ccni7PRxZjywrAqZCA6jDXs+uxby2neeyo4LG2eSj1k3PJ6zXis7nbYa33Gdg0fgAOQTpRMyw2s70AzfrtM0THrJes+QYXr2BfPjQtDN2FmSdThHiE78h8VBeu7vrP8WeCZ1PbmPjh8gykJvhxvCvX6b4U/wKhAWF8OJLqkNu3KkPxu4tKOTTf5aYFPW2wUz6Ml+j3Hs/YyMhJ3k7gxss81wggDjqeDdX9qt+B96ahwFEa+2Wa6p4ETodfmQ7a+K3lOelycV5STpe9ZJ7t5zvlxtoT8v/Ojg62petIHIq3PwBRDnuD/ewLucVHXTF6t7V1/l/Fjm31Asq0V80VzuHpYl6KWCw3DC9ebvxvtyOwGGyEPeSmRjrgE6sZ7pYEGxM6TuZ0jsZAVAUg2Lczzoc5EnTniKU5soyNf7o/H34oymZ1kHIGCHDiTTPtz0t9qNtNRV/bax3OktJOctv4PKeN3NI9yMUZbnkmmB/jh/Qf9b+5DFXkUzQ0c1p0S3PTWesmQKqumbok6mrfVg3CeAs/Wg3V+PB5564Fd54ID61QhNxa+2seDe365+LPFvzwd+++3sgb3miLVgXPqugu40gb2bfdw6FDhlOjNcZD6caVLoeS6L1G7xPdCBgW+4JJvA7RWz195QK5x2Dt3yfs/LNLDMiQls4OeZLlO9enT985YVpb5wP7NcYvubQQt2d5YDaSx28s/e5fkb9DxBOCnJ7VLf+avdljDbOwc1hHltxAmIytyBeg2AdJz8Bcy4YMO96F4/oPFz+2MUtjZLGTgCLHxnu2i3cY++wz34iRqWa/neSgXNSfHcx+GufKY9xVjX06ATccCy0y3T06adzk+Id1S2jnQZBMdrkKKps4k2Xabal6nPebCEZS0q3MnPHFiQYcjlA1wBbzKKpGuCQDCGvpH9xnAVcLhzeozP7kqPd9PLYEebAwTLDCCJMDs9bnhIKGPvOQ+DUgWtZXmR5XoYI8X9Ofx/mfTTEfsHTItAD0b0/L4sPmXFtkrVu4JOl2PDRj6Ppl+8CHVbvvPUBW6c9Nvj2yq4DZY0YfkIiXfSHbNYjNW8ICFYjKVQtmCYue2c7pQ7r/8un2Jv1O8Uzpt21Hb3VeUGQ553xOb3OmGlXSSVAS+X+l2AdykYb+Z8rRQhMlpfkUOOKOvtiI+vH9vpOzHH7+GE5TxOExbdyg4hUwCTEsH3MKrvPtIIN9F5ZQiZshWGnfq+GPq8c4n6Hxa9pR4rg8PmzXI8tXiWWW+aJ67opHtXAw/LdWY4TFnUNN4JBzbHHW/MQtNC3ctgD55DDBMpcGrtukNR3K7Q68D1nMjo/TzcqcPpugTtOrtO+ew7YvEp3RgzZyyPXzUHMd85mAOm5e5XljWpf4HdvNLTEv8zWgt0oPRXJSnGVO8X4p1mgWAweH08PwcMHABT8tQsf1mxM9oZryS1twN1WUxNMoznLS8QAhsY+VHiLQbHEimJQm5zZ9B5mlL+kAZ/490Id31e25FhmFK7AWCdDIDw4qAssmYWi1YLJVmjIo3nOvxCc/dQ6MeA8aNBPhrOx4XzbOPe5m4ktiZoaDhOmddyKwBaTJ13qE54ewBGZ7C7YIi7hZnQB+ZFNteZ9tNudr5reKmX2x/1KDDGisaETwsBwaokJ4eOYEVeLuAlHaykqXLHmmC574fhqvhBykPrjnGh2/KLRDwjwZfw3+uVEiarr8/NATdHNA89rrzTNQt6FL8Z7/n4qbtyWOkiHyu99EcRHbCUrz9LjdwcLbUsBgV++y5z+ZlwHIF/vJx3lnhonD5/HyjVkdhLKuCrg05kPCrmxQ8Bt/l+B5+JqPE87ApI+PZTair+umsjTxdN48g6edbZhqO9dlhpgC23sXtXwZTLeRM3OPQgmxSMvByhfnf8cNhdsdb/lfXsyhm324GyBNKg0Bk3cIVyNF6+8Fu0ux7zTeX1tSxdXr3CS6VPbVIOsFrkTNWm65RF01kfrupIulDWtXl+VDrrLW0kOePPMih3+D72bQTbluFU4o2CrgdagHlD3wVoV9DICPhT8YC/z3a4o9VOVGraR8McsUB3xn4+Tzzbgc/PE+06+27Y5zDMLDqXAgZNj96OC+C0yHqi86akCwZ8SBo/TZ9cd4VL3Y9FaLvSn12vjIDdyses64xgPC5zy3c2tOpz317fwcB9XnSvTZGEi1c07k7YnSz4ggxb9LjE//idzQE+hSfC1JGtw6EadXhd6yXbQQ+FFBtvfL4eGvGU2g68xOmUdPrMo6u6BCOIV/vVNuZopLqWZLIyzEfc00hVndFbthlY/hC+uPly2bcC1+pw+V7AWdFSocf0x7ORfApKuBcdiY+k9sr58m66u1Kj4vFZL6jq2wWRFTQf3r0B//a0mIVGY2WLrsUnjt3kW9oo617reVvH/pGUeUwef6//9zb0+9JPR+wfOQmQ74otjeyhqJQLeFnRwVRsAKTjWAVh4WbZYQLfCbscc2ZHw46oFMsTdy3oKlgGjF4PUWyIxhaQA0dG2+o7cDyiprpb19pIBjIvgoX7XBO+ghJgOwuUGJUJo3E0dBXVYqkr4F252Bq0vhhNjsy0QLFE8RyzP8dudynDlnDDQox3mq6OVntuY6kxX0u/qfwqqEb+Stnjfh4z8rgfIbVKPd71EaKcuOqhSO+UTRNG7RS0R6/Ld3/Zjlg6mtiNKVNwxv2MfefhyJsX43PTtAvO7v30nV7pOA7FSgdhkYZwxMdrO+7GbiK5Jo2wE9bm/cIyrC3a+WAOGc/sPMNgQNylSsp6+xbbDcaN8RU/ipJgMdobR2OGHZIMuDAOqW+C7oy4Rtlx3C3vIGSHIi/mh+hS79841tp2T37Y0TgybIdemeLEE+gK+WlADfxrdDO2zwP6D71j8hw7+kYbnY7EdyBCxw5LBZrdeUnzzo+Sse6Ne0S3QSWMp2JBlI01V4gZ5zRGHpgwokPlkn6HbpFiIID62Iqi4+CyY+MWTbF/HtPp7bBQXT3PeGXHxQpmtLHBbEfuPke/neDgtCQ2R7l+g5939TI/zThk/mQ49Ih5QzDt9s3jRXX7Qqc52Qx3zy6PWFYvPN3qlzlPSo1xwGeORQ8EILx5UING/mHJ5xTQI4eBudOQHbCGa4vSH5HR4WQK5kcq8505ih2nY/dBU58LNo8P7WVth6ye2vn3qdDvDXgoPv70iY9vT5xnw8d54TwUH+eFqx1+zPgTgMiBC/0ZDgUe/binvpO8HxuudrGxAHIK9DGuf3hKGI8Qyc8BIyy3WuctdhSX05zlNfqifsmn4PFJPCHJSFsQsTF2wyzxiOOSfkUA7QJnp42XV+NdUx+wBQBJC+uBH9nnEd8tC7L+I8ZPd4O4Z26+2Al36Anl47KCCZ/XdVC7WWcr9LDFyZ3kksmyY+y4n7stgONp8rjrN66XE+y8y6pcbORkPIl3wuZ86ugJfN5pRwVn3i1Ffco0Z3hwnrgoErPcsmBY9OH3OgP/Q0xG1yEVu6Tje6x2QcXER96yXeIRfNT5Llhu2p9wPuOvaAeeO/AE4CPP7hy9Zgdl+ll2G/JCFtNi1fcxV4x/yTXawQj0seLDLgr3y6UFLce1zb8Kp6YmFkEUi427ifrPi2K74B3/ztVuYMrvea67vpPalyEvBBpOGipPT2BezbzY5Hq65sbzvXG1TSM+tVtIzDZAsP0Tzw98Lu3eVdZF7PcI3uVdklxftV6Qdcjp2EY8HQUgxMf+lN+9fsK1y5mIF6dppieh/mdyTM80yOH53m1Ihp1gXWw/wzXrJDxGQ0+t6mP71vVX0mHCmAMlTlnHDfWmsYHJTxpj70cT8M4tXL1yOTp9qigwrqG5AJztgNoYjYZ5+l+t74TtJNivtLF8v/32wHX1XbBtXGsjvx0BN92+gnfCT+YhOpvjHNfPnD8NvIegsoLWlrVL5hn5HdXh6whsA4z3wXZM5cpktgbB4GXuxt/4f9ZZyMYs18qsD8kGA1A7b7hNy1TBw/Wnd+VpL5nH2vheCOMQ9N+K51Tzz+DTmf/OkWQ0clA9XZaiXz9EY+HBCzqPKWbcQ9CvgLLdsEcH0O4F1mMAwzgwepVYVUhJbno6Vt6j1n/H2yhwKo5vFw6ZV9q064CKQpXm4WBuojLXZ6qTyxg8Gxte80lyKaxjweRPqjDNm2mjxbqcVhZA6DPRSblLk8YvXzdU0eArmbY4zq1Yot28zui2n+uaic6t7jzfq/6k5xVMeW1fB0NZbByeW1xvnk8VXZBOUzlR12C3yc/z2JabmhY6kzDv5/zXOf5FCvrvGztxuc3YgfiZrxp550TQv1T66Yj9I6bdpKd3mvPe1ZUnyjvRyrv27+pHwQRkzVPV7QY3KS9vw4C1T+WdtV9JaZKbkmk7JHqX9gyP+7IsyL9kPlNArO/wcsxtDN6+X8mFLx03jVqBexeGL6V360tRbsviD0hxwPy9KIamQCUFOhiW9OfHgwrCLlh/n4wBN8Do9zKceR6PH7zQq+lMfi735bRRVDTvMCbeUzmSSgW7eMYO2Mq42tIY45CfFWSsBOu2/c3vKt0ZD1xHmBKSum88NtWn43ihhk4Ll8jc0KUYkZ/we2ClSf9UdAemzmNa3UFhBsaATcNO2XjX4rLIYHOi6nNWftgYpHLltLUHR4FPG0ceY59jGp8Z3KLFwiN/vxk0pXvAc/8xcGLMwb3L4xnvhMv8wQtP+Be4hH5mWt7gPNNMKPOjCuUOPT43acF4tL8YLVYVzWl+FoyOSn5XBha/DztBegUqY3n7sHExgosL36GqhWdIvNsz8fuQVzCOjVPg0Y8jPs6G41A8jobzUJxHwykKHK3vjD0U56lo0tCauONXbUGzoS8gtNGoj731EThU6bSEifggMww+m9/UDy97l+54p/22AIzMi3fywGScUpfuQLjjrQXPf9knJDqlYyJ39LtWoGtbX5xrpbNAKlq8q2TqbFtjeqMPljtoy4zvv5dddV/VPX4P37J0pwv/TDGJeNDiW/TPRfOOxRf2Uz5NxKPqX6UdXH9mmyI4BTg575yA/LCN+CLtbK+Aa72fJuWi9g/Mia/Sw5JyeR6vt3gtQke3TthNXT8Cv+Otabon1t5L+L02el+/q4wax4mdc64rmxPWFvJlzqGo8yZdG5ledOpuW8Diz63s/SJOS75StVW09y5Pys5uYC0XApGynKXvpf79KlFet+2S/vgltFV8TcXH0XeUJj1ZR4CoDuXaTk5q7QDfl3mNHbKq0nVQoDt5gO70uQR6HX61DczJY11qiAG7Ba75ebUmkPO/yjMbH319QzfctbXYU04XGp6xXbPY7GX5Fc4tTIyjHxG+d8nsARQnHmzm2itH6Mvmki64y7esqb1IpU6cbUq2xWme3K2FL9+XPGQzEs58bt/oJNO+KDIR/YU1wAN9N+zZT1CSsSNWddiGI1hCra/pFKhtP4Lxh5om/xyqjNyAUsjr7VqBwcN/mqYI9eMrMiJM77yJKszHWC7AViWZMn27Pob6+Vv1Z53wTvmjeksndcjz5lp/KY8QcbbI9BiwuOhNSUZw/juH8Jf07iSD38rjOPsz8uMfTD8dsX/gJE3H8a2CdhKzHsx+8fqPd+WdHjZ3LtPgxY0DL2eRxCM6wsvzjgXb+Voce8gTMSi0Z2/DI/ureaGAXQi9HmkaGa0zPGKUM1oxtUHMwurgHaPTGFpnuB/Riw5btdCwHAk8YKiievM9TZ3Rp7ucEL8zLMG5RXiwBdS4s08mfFozxDINOoDOO1P5brkgEGiHyIzQkhlZ+6pJUo6ddoqoUzSF8H1m6QgnAOPOVgnlzXGqg17Xo3rF6+91jN20tuvVo5iB67vMxR3FalAzLfLdkvSsTCMwru+Oor4z3mXi1Bbebaxtxy4rRX0nHJZ5lBc69BC07/PdIpCNL+RjiDWOWXhuxwa3DnbYNZwio3PEnzm87bvjcuziDTvEgECLQXHSiUuGVbRHWbdvvb7jN/h4e5+B2rlqeshzDEf/5TBCAHmK70ID0HfG2Q7YBjeIl8hORd+ZOe6/PD7HnB27XY8nfCcmQLQi8F3YYk5bHhcrwlGnQ1yURqzRldI7qpPHxBDuTZmoGBGo4c6ZRngy8ATwI4LCzjOCA0D76CXmHapS0x7iM7HfGg3YMC8G82ljvEIwh93lZBGnTmNKDZiMoDlZzTsCqj10ONIl8tQwZjLxT3g6ntMZX9VtfGTO28gk56K5JlxF+Voa/I3uEaU7rnT8Zv4mDWNHHeHUdoTmsbN+cqSuDj1g1OM7zO04K1Xnz+GuYCtOBpF8Ei4xabGNO2r16GOiHwr9pQGPho9fnjjOhu/fnnicF749Lnw/Y8jo948nriZ4HicUwHGof9dv43i5cbS4Poag8/Ee/LwJ9DcKsIBOPmdGt8yI+wPjqDrbHa6C03mYrjxWAYwdDyEog9+P8buGbDueiHOdaNt4g+He9ANcA8UhUGQOiMth0y95V9vgYT3jpJ/Mz28T7UKy8v2T7uaxqBfr92bnDM8boZ2/tnM2G9u8K9SGeDGaRz+qQIZw1w/1ozu2rMIEY+LvKgJJke6mM3c+Gt9lQ7rip0c6Onm5qsIZLMFkWbLsQOTv20VCkofsYA/lf6bbFIKkNOGt4uv0vLoCwK7LCKclsQ7HeccuUbM3nP5IJi7OUcubbCOHi+nf+iarjZj1GGDSLufJC1bbxaDisUp6xXih+R2PHq3rfAmDz+31WRejr5gilclZbbw3sM33+zbcrkTsu9c1dAY7mSfyIyx8cPJMCpxie43tSnaq3t0JWyUaM2DV1cKC+qs0YBWbCwftuhWuq++C7acsDX1JZJ6CciDem81ybzBU56MDsLAWQPKU+7HIIca36xiRN/ffrAvqfLchh0yjPk8InkWnTHIhzKlk34Vd84SvnbM2BkzWY5nH2dcL0olMQZ4lPC26bGrPA5oIdncEKiCfgx4+BkA6dvEJgCfQ5EB7dKPNnaunrAccaKeL5/OAtqM7ZBVon6c7YPu1NsDx69Fx1RzcpQ+OSxuHsWM2HGGb+mz4YHnfT4SZ+mcIPND4bFmbYHzTs/CIdycSHCEg4iQdcNgk07k35lKry095p26Ll/Rk/J92Ei8ObO6XFdP1dxiLYxwaNNZkDSeiWI8SJZ7uwZkGP+n/mRf4uuITQX/neu+cscGGtWo3/KA6HcP0az5hB9jcE+rzaAge2wUL0FHbEsbWeclFAcc2P8N62x0zQbSvrF/2OU4mUjuV7KNBHg2Pjwsf354ezHupQOREawLFOemtYlDDQasDXuMjYRepgZf5EuOrStwPoxN6ZzLdq2yRtq3dQzFty528FIx11j7nBMRbSc69co72/BRYj0jTUq1FUxXM10NZUJlD4MdgU115jdLB4rlEjSm9ZyrOZJX1r/J6RUOd8xeuZPap1zlOQkw7QfMVM6F6c4qiQNrQXQw2v5JQEOkuy4RK1u/oI+fbPZObPEV629/xF0o/HbF/xMSTSAvauyPsiv5Yic7KuL3PRYoJH5TRN1LprL1LFWypvvKIjy/s7v3d29Xf7Icb44S73rbUihxWBeglKFV+UiZXYVMDPyMFC9isP5mxuZNeo2H8gykvxnwlsDAsLHLksD3bNmqf4m2a811J2LBDFiClUeJzrpfhf8uoN2McGEdPYhoeMvtoCqo9t/7n+crKVEhZ+Jtyzwskhk5FFLi7erhKU9aM5ygp+6msLWBkoyVWWPy+yb8YQPzpivyET4DFGOSxL5PO+tQMg+o5A6UY0cijEznY5Cl+TJQZfb6wd0kIsnBHRQUTOzEMXxWOjH7Z/rDPBX7ETOYcGv3usHSC77jsiA6OB+JLVigco8rw0jg4b0x99c9ULuQhHC5jn/uZyi8LoKYM5zySymaYQHDImsXqCXRq1cnkSaG+L6SFBzBe6FGYU6U+MPleQPOdHkJ/Pi80D1RuiGAYSPPdsYy/ND9ved2orzJ+nO8eAB4Nx6PhfDScZ8PjvPBx9l2w59EVkqbSA56PsfKKC60daGffFdvVi6M7eMdu194nHcdNDQ4+gks8iGOUhcAdpXOezT52vq+zLw0QW9At6FGs/4U+5XVUc13iI//Jz83psgsO4ERzIp8ksr0DMpff8PvbBfjUv8p4znM6O1tfJseZADrHZsdHy6NKkyN1u6MP2OLiJXxW9u598dxh2ckEhukHeNQPl/uZbtOXnNfFvA/v3qyLF4W4/NunMP2OtNwtdnM02mrP4Ovz6s30su/v4De9f8vp+M8shVOakr6zJApkVgFeHT082yjwUtintc0mtZ6AGteLcyPnF3ggMNuQdgqRB+9YYBvpZex0ATB3TLKeZjLGnBDHxGtYU9jQ9Ssa2t4/ByqX9LBXqVr7AAjW9Nx1SC4vqX2U3XsPLsZNYYfs7Kd3dYMwnmH8DHAas+GM7fpa72TTfmRpQ+sBwO3wo4cdHu26Y+tnG/ddsONEJXbCyiXRofIFXidEbwx+nZn6mRVMwndlT1V6Zuhr1vmlfv8qH8NS6pCuSw99LtBJRMKX5exX8t/RH88Reld9D1W+Gve799zmK3mZ8fnFNs2pvNRRffIA7spkutMaF1xVqcNn3md/IwhfbDfs2e1IAXAcDWgHLlEcx7jf+QBdWSNeT9a31f47Ji0H3SbDlJ99UadRqkfVrvEp6tngL2QZ3VIZu4BH3bfOW2uf8vDGotv75N+A5TaRDRfK3dieP5LKcoKv8RLsddyQsp6yo+ddccNbwfv53Vfx8Y/mLP1naE/+dMT+AVOPgJqRXFWwTg/cmBEKwbjZ3bsZ2ugPQ/TjRfUIfMegLZBZJHI5+SvhZ6/yQo5Mo8cX8mTCwoZrWOTTAWMlYDZCx+/eKnZROny8g9jwm3Y5hoVliQyIcZbxUd1ZK5w9G6U6P7lfvNAqCr97LS5GSx+nwugPO3eVxv+Ixzz6OOkUeryDqkfmUPRR2nW1HAU58BN2VFT0bLSWlcpxJ6wbsP4S4Ltio7JE93ZwlPCIeBLLz2M9PvUQtI8RvXwC7SGuHPEuWDakM+35XcaV8OZoX35/we97mLsKplIkB/pi+iCc69ukWR8Pop2wm5uOiVBIj7R88E5sLLum/HO8C2MylM45DogRmkbchDe/i1X7HXlWVzZ+Fgdim3q2153g5PHcBZfkcbIIdXZe+k4qmuMqCPdwsKNXLgDnuMtIZl0eufcp3Rg+tH+O9wE+7ZUeT0A+x1xMxrLddxZ3O45qrtRVi/q94f/sLPa4hXPMmTPtNiG8zd3gIzpuzIVmA0SKuY57Mp2OD2DZFZ74XjAobZ58pq7YvZ+KudN2ODEOX33CNK6Nn20i6MXuKaV6/D5R1YkLnwvi+BLAd34z7PWuH+NnEbcWcZ2jYvVQ3yko405J25XodEk4ZCODecvCZ2xeMg4U867uBIfY/OU6uK82b37ru5f1g2C+0HdsG+8S6XLraTxVZ30WyWyGqXXK2hpHO9nOb2DQUwOW+9ZtgcR2jnK3nD77++v7uBP2o+Hx/cL5uPDXf/oVj/PCL48nHkfDx3HhcTQ0FXxeJ5564GzHOKJY0A7FcTR8ezzxeZ34/DyhKjjGLlpbIGvPcUyczb/T7gMVyG82xyMN87i1jyxQFKLic0K5z7Zjifiul3KaHkE9T/F7zQ2PzXQNlgvLLlLTN+Y4HiOwpn30cTqegy9c2kGy3WzGsHXKJ6/yBB3XTLyf+TfpQv460LwGmPNpGFFvorYacMD4QIetnXNylQv0DpeG+VbpIP25eDT/HAsJ9fmOJcKD9d3lr+FOqN7UvxDBzTv10nyYeTKNMeAIOvKiTweZtrY/60i80PKT7L+B4mf6kZTHip+xvladprRLiQ5Km42bays9eptEA3xihUBdb13uXx38ydqudvQyXMF+NV4B9XeLjKtwluq0vJLfMS1bwJnZL0F+Tl4zH/L7yUfKRTq/32L9rYJVF7H6mUdlPmWsmRY9yx3LBOPynPlV0Ec0lgEcXn/WojxfFsMTj9ou/h3MU2XsoCv0W2A6TEfeqS/MymPgHu3ZMvK1+1/JvjI9w+2xY9oLy6k/DVN3l6X5SJMsH23HocoqK3zO0PNN2s19gxsK4DK5NXWsxdG1o4dK7kjMsvAkSm2cUFPPg9yXta1Fj2E4qpThJ5jConOe1gUu+G7cxdC2XZeKbk9g3G35KWjHCRwKsXW+Q3n6AsMJq5dAfzv96GFp0k9DMbuxSTjxZLEJKjw5X5Bok/KYJfm+jE3lrCzK87qFPfcA7oE7Z0H2eQB+qlJ+l+dNfjZgklHG5l2EUxe43fZSes/8WSbs3i9q2+Yhr+cxmIF0uE93kSHW7ua1wbTb3BLmIutnia6XwJPBV5R5mcS6Fn7FMNLmA9bjvQ0rw3fAAtNGdJ6iczdjEz8aWEdZ648c6r95/aDbS4no088wN2TybD3HaUqnAt8b5FQ8fvnEx0c/Senj0e+ItR2xAPyzNcEFoIn40p7ZhaLSdymzHBz2NNpYQ8vz2OBLHsd8MkEIPDBcHJH/9rEZO8HtdLk8t9N8EStHbVjHBIjrQQy70ScNaeS1s5F39NIop4u+e/US8kz+LZ6/v8hIlviM5z816XoH6WMMC5e/61W1Zsy7g2MfyFGdZSzzmhy0mPU8AfmWEN7lQIWwthBJz+GsfCxb+9Fgr+R8lZfThtf/U6efjtg/YPIjiYE1mtMnmcQJpnGCvCREVwyydIRPgnxMiwv8V9H6VXNj8Y3vIWUl7u68cJ7Eu3tZS1D8qI3eobCbtqpCERareIeo8DuHa3Q3H9H17k5gTVlcaVfKkjjbYNoHO2UGvMsRX8DC0ExAhr5khSk76cczdnxWO2HvomHyvUiL4XTKNMCDEJ5KYThegnfT3SXfGWt3+04DOgQ6CMDHEbdHV+js6NdsNM+OJTyCFEwSUt6W0WBarDJDjafv3BlFvy1Zm7ZQzoouf0+0LqpoItEp5grvLMIGLx8lIgq/L5fbcEXqQOBDjlvrGwvufOTxRnlyhKRn3oYpKhe1rfFd5pV2lIw24CCHT7WTXXN5whs/8zEckY52LBsv/ixzxJzAZjTzOBBMrjAP+NxZf8UxMXiqubg1CpmnHSmfjV01t4n3OM6To1kaoI3mDfMZowX6C4v0CthRxPkYY3O28IK+3aHZaW7IikF/bRwt1HEZ79HLOz0nD7KJpxPfNhec5xJpGg6y3m59OHXB5TQwNZbjMQYG85hj4jyhGJaQGB6fk5MLhgApl5UTxuZH2+/r98Weox/77XiSDncwDBT9eO6xuKSMQHNC5tWJgY9edj5znjiHKSYbN4llOg7g98Hio0E++lFSj8eF749n/zu7I/Yh3RH7HPdxoQGfYtG9ihPASbLwujqwtnPhunTc33WijbOR1BYMbP7Z0ePc9cwzDhpzHb/bJA1b0LMMfi9S0EcmkpyGh8EfZC/zbMzf9l0ckJl/DkrioZh1e5CSFWH5JAiGIJriINlTpQCjD+5Y1PRrCeLcWhYFmW6ID711ekolq3LduubtcJBTIPAVgd0DuT2Z5u6ZvUpBJEG/5bIjz9ZZ7TjRWYfTyNqwyz3izawHbe+4TPAsv3+mf5yUcb1LpBe8jMTP4/VKWG1kp79eFsMKuF7B84YOd1uFyZBqR22R8rHjYaEu8MZktyVcLY5IfyHxk5//3t0GO5pgMF0PQ5QPIP5ZJeLTnB9AdMLS2NzZlneJHauB34Z+zGtvlpROWDK54u8GL4tOGLIjT3Tb1vBDOmx2OgGki945C3mumM5r8nXUkXX48MlV7WgryffgtKKdw3dOsKrexW40VL45h1dH3+Y56SALLt6AdbF5kp6ynRtUX1ikruYN/Z7wdJqScUWXmk5McjSoK23sfnXH6/jUodflK1DcoToRH3RnJccV8/vMm3f88m4cs96VyxE9eYCq2XA0drymMJ3b9H2qwLEt1kFmd6dzTdJLFPk2v12+mP494FjoIOd/0c5tyrSfF0ZySnSb143CkjLzBcZfNZdumgzNJz17d0rEW/13o4cGlYDQowepVicB/UhaHMX2cDhjcSrko+E4FR8fFx5nw+Ns+DgvCICP88LRDjzP1uf2KRDp9zqLnpBTx/2xA/5BRsobScau0m5C9v67HqbzY/JXw41E4MfYbcll0LEeCJswclIh1UPn725zjWaGjYohh7tTbs7PV2Nd+gXeoI9359CdLTj1NcErfUqrucD62St9jHjcrUzc6NGsPyw+klc67qbOOx27nA+76l/4JJY2KzlDeuaUA3s9fKvX/BOln47YP2I6JO405CNbw/0ogBzqTLkUnOM3G4Wc8iQJjlmlPFTnciyCtXEXdVUkdir4Ane6r3GBNStl5DT1/jGM450vDCYclQtJAy67s9bbP9DbaKmMwaQzX/9cj/p12UiMJXfV7+31B+uQtoeMejTihtoIsKX28+40X6ykho6LdlsSLHcpG+a9+RfCVDDvQDVG60c6id+H7EXtrsmK0ZLjtYaNdvNinHw/aNej3HJ0n8Eo8f10+qQ+bRRsAH5nFivrQYnh6syJYI4Ow8eAo2cWP9bQ9FI7qtIdVCmyXRTAVeCP+23jRwLXF9EzTdtuPZ2Km8PAOMjRs75TAMvCgx/XZYajz1fCmwMQlb/QVuIHphyiYTh1JNDq1lC3IACjbzZIjN6Jd8kYm45Dnc8CT8a82/WyaGWK2Lwi7Hys1PEZ4SsTKdy88MP9YwcngD4PszI69MiDGExQPK0+bmPDZxblm2hZFFNp9/e0u13H9PYgh+lQVEGPgj246kk4jtMR3c3Gu9/pi4krgeGMmWe/TzT3Kxuy+Q4UtehcSX0nuCpeFulFYccXLTRoeJQ5/3yeBvrpY9vlUq3EOjzsNDe+ZDjkPBRJuwRAGO0NJy3zOhhuHdGzrYAkk4VOTz0gSK4RrcuGqEffRlkSeKEtkP7S+p0+3xsevzxxPi58fDzxcV74OC88pOFxNN8d+Wy9gsfRn4v0XcwN/fi4qx14tgPfP554nK2/U/S7u84DrR34/ARE7A4vibbZcNK3RvNs9Kuc4jZvQoABiJFR2Y+IH1+7aDN/e2DsBk204HMEwDnI0HbujOFrZ7+j1NhqAH+MX6cf9XfLYjsQ9Du/88dg4IXqVH5ZULDdSizrKeI6tGs0QnB7EILp4KWekX4OB2rlzPTgFmpznrSR2lBjclx+zg8OZFx0qNx0W/HW+YF6mXxU6NLXgvgWpwXRmzuesrM3wJoViKLN3O6dnPuZPJmM5BNv1kz9Yxl7StledFnR6h2FAFY7TxO95tfZXsx5Bn06XVV5qO3dvXn+faoDSzvh2FzMdsu2yqNuqA86edk2cJjzFXUvAbhK02yDg+VkCH41ZLHxQLZDlfKA3hn8Dm/uJ4rvVt7kQyN8Kb+PgH7JAVHAerfoxs4agzfv8L3b2bc4zbh9DIfZqKONE2XclnxI38mJCYP9dju2cMiGtKFZBSAHXSlP4zt56Mg4ji0ONJRkRpALmyBre944iFax0keGu5jb5XNSCf19kC+pDYM32RmVg7haHwsLtpr4UZLZlf0a4Mk6AU9hakv8ONKpu9nVLnJg2jjACNATmqOpkUt8B6x8ylwrUMExTqXxuajwE30CIciKV7a5HXfFePo8qE5BUFnzisZXRldnLjOZhc8TYhKLA9bbjPCW9BI6aTw6ws080LPueA61UTl2gsOqouvlxJSiPxxUoBJoy2l44EfTNReS7CulMhRrvOelTN+sh5ptzXm4yOi/z6lKb2BZMXBhazkQzKN7885d63jGtx3Pfgi0zfkkED+9yvUOGvTpkFevOn6ZfdDBw/UB6IcC3xrkofj4/sR5Nnz/eOLb48K3YUsC/ShiAHicF86jO1T7MePA89lP3Wnn2QNrr8N3ucOcySqwHb/aZh94t/oMEs+6UpxzGHh2nmZziGWen1A1nwV+ZrgYY2cBs3GuI6xH9PydKPp6Ejx4/lb2Mx8C3RNbzJNcz1YvsClB/GOxLb2SXOm6Ji4YsjGtL5cBpxv4mKwDqEm+sG6JU4P8nTKqsEWXtuOu2sphWu2UzWnF14QlBwrs6kCiv22e0O6+f5EP34/BXyL9dMT+AZM7oEBCNgtyi4RsWO+MsB2kYwVMbQec7zihtMy9OTmrYz639+6QUyWnyeCo8azokUO1K6d6D2sWysC6uKwI969wPi5rDIuP/pzKw6phHBfttCHY/Jisc/Yjw+6yXkmZyWNgQmwYsb4oIJMe2pjZxzXfLRGg3Hx13BC/N4VdOvz9aEk+ZnhGSsZ6U0NKMCMJ76DoF7t3gXmclDmxD0SjkGhkMf5MILJiwQI6HR04VII+P45oQC9G5sCvngM/Y6ffW8Ym48aUpUdXmGQcGRT6Z2WZbrXjghfHnR7YmagTrmQHTXwr/Ijv7HTOEePu4JSJm0W46jwqxZyFLY+PrHV7G2c/1tScke40lDlXFsNckHYRYUbwDbrhZIqq+x7ICeH5GfehMD2jCMG56GlzHoF3+DqmSNjVan0WIDiw5TkbltadrUsQhE6cZGM48zkvY3RhznFzbvKYHFRFrnvU26CBBwRnrNXLpygo0cwFHE9x2jMcaEdPh4XtKo1tmAHKHeyLTvNZ3kHoxwZTRcbnfI4PmIXgsuzhOCTrc9aoSGZwYVG4g5d3ZS5H7fvxSAjjshhBB/HSwNPm+6CwkzwAEIIlruFAXZRj5k8gPptS2BFH82YauPMYuc4b+vG9k041zCm7E1kf6ke2OhCjM35P7Nmf2QJ3h0PmLnIKxmA+abKkfevHSOmfrr4L9vsTv/zyiVMUH48L59HCTthDFE0FTz1xQPHt6Oc02eez9aOKP68TwAMfouEY46aC364TV+vG9+fnCTxPXGmlS08dO1wFbTA815vWYerfB0/mOYUH0QkwFg0UfgQ30aDdPa0DL+FuasRGOWDOjjF2fmn6DnSyXZMZYSdHIqaqHZm82mCZY0iOI+eDxJNI5zCn6Az2M94zdD0lEAjOPKcsmtnauHMYhMW/NGim94kq2iEeSGd99vd2DDm1wQE+AYeB5zDOdMU14DqgjKPG2kPcRnBYDE+8W80DS2L+EByXo+cTPymT6zIS4PuZfl8KC1s2N3iMedze3N0ZZdasC6C5k8ff8ruOXVS7Cd4N9aZFfraHShhTyicZBfj4ETkM+Ti15f2m/FvvXiWT14hz2Icw61yIfHBrMzPoafzyAnyo93f0Jei8QWf5ffP8zunqyezHbCsy/TP9hh3JOssFYauzfSuLKRvD0cRn/21X3ATYyXEbktz0LfF6f9bQdaKBYz9sgIJ3IRgODcxjnU2eEj/3AKQj9d3aTLrUwvNZLic8eTeKoa/WCARAs+Apokdtax3K+cI4vwdLdsYueXSMIQUThjautVyuw4u4zSpd5zMYR7CiZpy7E2b8zjzpKfM0JdbftMv5w2zKpNcFm0SL94TH8En9nggacDFdVnTM9g3NH26P1/3CmMrMXY1l7qOva8SiZEcCmZCmPZny5z6HQjVN83ts8FrqklmnIxyIIqw/cPmpz0q0oTDmzA2I3F6AIeOA9UKTkSOz24S5H9rXhnhN7pZ/N8xAecG8rmvYQ5qdr5zsnUrHk0eGDlwJfM1N81xecCGTXq1qHetaB7oN+VDoo+H4fuE4Fd+/f+JxNPzp2yc+jr4b9mPcw9VUgAP4GLahiOJq/dSk4+iBus9nD+69rj7o2nq/dQRbQDF3v8sYV7PFxnU/wri3rph8sOfDgevrGyaLROd6hAXlZl6bx9hkAM87gyPTps9b64vGa52qsWA6TvMlHFnMdsyLdGfDzUwmSCNsRl57eCXI2PCcTxsLvLK/u4UrzU2Tme4/IJg8gDLrDMW82Z5EOuY3f98FZwXdkgMmS1nPjvTBOxahW5f1d19JX83/j5R+OmL/fUuVUOckiM678cyY7XLUgE1QZ5q6PCsnMC26AqiN3buU63SBN3f45l2y2WBfdtHmul3wk8FBDCYvVn0J/l5BaG86tWTp36L7CTFRxHfssNpGRmsx/qRUM1zVHbbL4otG3DPcEhgt/ea7YoPAlJB//pht7ZIZzwGXwFxMTTBvlf7UZs+67lAORrUZ1Ke4Y40jxrLjyXZ9miMnKiN9gITbAcgIH0YYLYqwkp7HUU/0Y4grOCyb5U8OqZ5vCuxsDDie+LvVrUSPY06yQr3saLBpdkzc5fmx0DmmMheMrKzAGU+qDL6sVCceZuO05WsacelwKcGVUrVwtawxZZjtMe9yHYpxUGx2SumGr3g5pvfxezqq6XjfFJ1aGa68kOP5qt9G79SveWrAVMz0GGE+Gh6XaXEsYrRRzfdsmzHdp0Cafifnmg+gcRwD7gsoPM5ZNlrfOM+p8bXSeFBbAWYy+rhcgNNo2OYh5lh52zRP+H7PDOeSRj7freEnEcT2QzsMm8Gb57AwXjENamg6MndUcFBnHNYovFRGpLPvFFTYwqnRjTSLWlZ/rgf6fbCnQr41HI+Gx6PvcH2cDb88njjHjlfbEfuQhgbBY5wRZZHNtkP2kIZv0o3rD1w4oDiHsd2PMT56maOXPQ6Fnq3vipUGxdENt2Fg62P0telc+KsC6AAK9MAMEEhjlHmU0Ycg04s4fQV/g8FAPNzu1nZD3YbsFLThEDC6zItFTk8Vf7PpTcZc2HkzwYSpKfmqgZBEfP5nB0BeaAyLsUBZJjhjC/BZt8v9sud8785mPZD6BkRnjA7YaUKN+u3O7i6fJ73Eo+wJsBd8oHLQVXqkv7Odb0lmrIsna3ts8IfP1Mef6UVS9StD7hY737nC5NY5m/NmR6rE7zsn7FfS3dU1SyrktO+AUXmPlrSYbzcw/TmCCCTwp8hkNMz1+b1/vhgrqiPwmh2/ejPlwK9lwV6x7sq4OUou3/266FmUd5FrnMgJO+Xg5m7YkpHby5lnkQ+kW3d7Lu2EHTtjg85M34MNZe3kAOAC1uwcdwcDP05teJcUqw39TmL5X+h+7Gj0PDd98DKkn4Q5y/hBpNllvWGn56RyZbfYrmXd5IVsDEG+WbfJSYrnuuLM16YaYCd6iM5TU4RPYSMdSq7hiLWy9GlB+iGQRWJ5f4YN/Hc4ZJtFhq5oxboiN95lxSrOCW6L1wgUiPSW6ljsfX5tOytTP/uaxeDrHuhjGyJ4wqe+7FIFw06/ZdgLmPOzMlAgvazWs3JQYViz28HyKm30wrAzNs33PHetHoGNAz0+6J1O2P3knYa5szUYvJkhIOLV6VPhNqINb5oLgc878mdfgMHf7V7YjwZ8azgf/e/748Lj7Dthvx09qPfbcfmpSWjAebR+FVY7cJw90FcuRbPxVHQbUYF2Hf1kJZF5BLnBo+hX+5jsvSKcS2JZYA3JWibImIzHPJjpVInwSfUh8Vm2Jf15+j0ZOiIPzXB5O/PYY2+ngCfCT181ft7togx1B+RVgN0wgnfm3jKniAYKXPRHMnaG27zUxM++oANU/O3d4pntZ/2Wvr+8xoJ/vxrTF3L/nyL9dMT+ARMLhKzUVk6MaoIEoucdAWbsKOXLioPLIBP2hSEtiEdxXsDxVDdI6n6xJMC6q9TqUo27ps4Iez5qEZC+RZ+rSY48b3fACqAoM/PeHT/lTmgTErx4zf26YVxbBXPUo4J+LGJSzPj+Vldo6D3jSc95hIk7ypPiO5X3gVsocMVjyVyhSkcydAfSKOfK/ASociQsiZ/ZkdwSacXo1xaAl+ODeJ4EYNJY2JxiJ8+A2Rx17UPmsSNWZ3YqjjZ71LP2RXDCpfd/KPh6zJ2C+Z4/NWeJYC6mUyS5gOaZgO5bGLCPhXPbRaMEYzgWxPGY8K70Lo8belSy1XdcHTb91vvOjscZ6Ztw5jimNimvKeTHJ3whg20i77dF2o0owH7sF41H4l8hQlPmeJrjc1lUMZgN7xrrPRi3gdZmnxz1CceCPhZBKbWdsBbNzGNO7eaFGh+jtBs4pMRf20OnU83G2nbJNcpDSqx8JoUPNK3GTtZZJyl6Y8GAdwX7GJjnZhgUAezUZ58nFz1Ln0E2soI2+mBOo2U8iWakkRJo0bcYfFAFR+tzvH2scIZ+Ud1tHAVr8wUg3uxjaXe0yuwX0SsI3l62R9D33fjjmKWGTkeEQ6vnMHnsYyhxbkosZ2NtR6byuOSI1kp2Oe/hXRhZR7HIbAFwyIzKHXwUp0IeOqJ+XQnpFdsOa6O1QcOzI2SEXR1H7ZuifR+Njnt8Hr88cZwN59lwHIqP88K3x4VfHk/8f77/PR5HN44PUfzp/OyOWO1HEFu6VPBs39BU8Mv59Pz/cH3gIQ3fziee7cA1EPBtlLla16iOQ8fRVAJ9DGP7Kf1IKhn3B40xDnLFUKIYx9FN1OrHkMO0u9gXN4YTQk8KLlAMp7eE8WvfdbbB43vN9tqo9xx6kO3i7GuIMnbNaqRhO7Le+7AGcWVdVAXQh8B1Qjv2lnhg70GlWBgfkainJF7qfCFXoaMPGEcUk2y0hXeOcGanbV4AZF49AwUGHfMuXvTfnY4jLnq74vVEvGE66y0ghqLU3Rl7Yw1annin5eSNy9UVgtWhN/Bs1yc4KjfyaWaIePIyhmfgz+Lo+g8hdZ1s4or1wfkQqHZ82vPwKEWt5xN6Qlk6xsxO1alO/AHWOfF+B2ObHnxQ6UFFfoaT+2d9C/bWOC3g9vg2rju3x2CoFhNhQ9dJ79q1tTo5V74dFjAZThTz9yaxHhpOcrL6Ur2OZ8ZL1iVSymsewemY6C3Uc5C+QPe3Tv3Xnk1YFh2GdsBUsMX+989GgbttnJTUHp1ntY/R9thJyQFFbFda19xWrdZ1CHZlWIYIcZuwTXUJxxweXjhmOwojaCeecgCnvwUGxHkWnH/cBo+f9UtjWa/WaH3shFt0zIrG6N3iXOcy1v6OxEc7hgvHXX7vnccYS5OJEt6F8tbPxNtMVyinfZtX2cjQA+RICKNxsV2w8jQdoL8KDlgL9LW5RYGcPXM1F2pclcl1EZ1rAUp1jnm7BGMN+25H7wGETIvWDo3zoks26iPTCuuXoW2deccRsD0P6Y1sfBaeTc9jSvbNPDJ6mW1G/SfQ/aI/6TpmVi3LU9s9Tn1e8tfiefbHYM+8GPOZB+AxrCLrqUuZh7f12bR3BL7eOI4nDlfcDH4XKyz6Z0eyK90Dfs7xDXgnus1rOPa8fR8nKv3ScPzy7A7YXz7xcV746++/4ttx4fvj6acp2YlKTQWPEamgKvg455U2307BZzvwuJpfZwMAn9cJVcHn5zmdsmN3rOLoO0pxQC+b1xL9h5mn21gk+yEksdOm+JnhMo1T5nXM+zHLcHC0Bprq42r80OFkmcK0J6ML6QQdX3cfeinrHXnzR5UWJywn5gtl4Qnjq8Cf0EZRX4gDoTlbrYWWAVVjHorV7ySe5kgxtobjZX0YmLYhSPfPeV4EA3IQbxVIHE67qvjmDd6W9E6ev3D66Yj9A6Z3JrQT7DuTnxdZ3gKAmslHoZjRmwWopAlfwcs/b4zvt46qGrAt29p3zb86gkuJ0Wze35VlI+93J1qkrKPh6CsrWabE3+xOfhcPeREwOGGroxdu6tvBkRcb2GmwCIWUb1HsAayLmjdgycTtbhHHnDm5PwIro3Hck8LTlVwCVAp0CB35YAq5NUWGwxKAUdHEDtccmb1JrKwt+QrBzcZWWDDh+rCOb0nPVG85ZqP/mmF5kbytahxzW8lYuVsoKuE1/NOnAHH3pwKaHHMhKZb5bOOxLLCluVHyCHt+0CfBrAI/FjgoboK5E47bLOiigzgBzcEXfGqCt2ELM0TrYfGElbD8jPFkRWmc7bcZclzGy9EYLDSV6taM20KRVeAugLKk2amQFy8JhyGfT6qUPdPHMhdl+92uNXBcJBjYUeV5aHz8ayWTslxMdOYF3ekk3YmgqcIwh2SZq9lYBjCCXwaAhwKPBjnVnbDn2cYO1YZz/D2Oy3fBHjI/+zrv0aOaR3uPY1VSbLes5TvQDXEdxrj5p/pxVP1YpgutLxIcPQrEDGo7qliahJ2vAPw6Cj3Ej+Cai7udTiIuDHfD+Y8RSX0acue4hqhk/hyWd693Hu+lMqaz8RLLTU5gmx+KjdwuUlho2sg2X0S6kwksi3kKbXiZJwGq+x29XHJ25XkSEssGzs9Zdn1IMmALv8NSwPyGo6vKsz2K9VY/qHnUtuxdXobhC3L/Z8IqkG70w5Bn8/zWtqvSP8Z47Wh+54StqmB62umhluUrDuJ3Eut1u5TnN+tCv7dtiTzzKzsj7hcys0KCuAvPnt31gQJlbu2DXfLFWMxPoT5W+nGR7mRSOadkttXlpyzPHaZET2xzmXwvndAZLlosd7lr44spayEkd4menAZctowHHhyU+13gguVq1SfE4S9l3x1tCxaZ59nJnr0dLyu0mevB2Zvn267eHR3f8E4rx3Vs64bxWl3sRy8rY37Z/ZDBcSHTAdcKWH+EjzCeR4WLw9zbL3jXoNfFeZjHj2hjZ39XsPUCN/Db+O9k4HbsdL7XDW9afq8nG3m+d9ntKxq0lOlayq+/P32RZm7lSrYJC11ZeUyZ/hebnphlrjMPloxnY0NSoNHxF4LbOUhG4LZkP45YIR8Nx6k46USlh9mR5IQ9AtE2txuf7cAp3WacpyupO2cBdMerSg8ERd8h6yfiybDH7JSxAz2QhfCWHaWLPCn5+mS2DrnZcp6HsnOQDdbnPp/ZnrS6jt5Hc5Z7uyy3UnuW3vJlvDN/LN/WXkk0d9fOD/HW92cq6zbLeovXZfxZgENjMAowN5Eh/bZhv/Ed9LbIRxKmooQ8+f0PpX+PbL6fjtg/atLBYPOE8wgNIeVnMGXPyPUA0hTHJ2ALbTHyXEYRncp8ceQAH2kcnLEjD++OXftCEzjzHetOPi6SQfCjRBLHk6GuKvq9VzKZyNwNqMviVN4t67s3AF+Y9jzHzGN98KOSR2Sw44MXRG+YiA6hX+JEgfOTYKWdr92ZIiFvuEvX+LCColiozzLr7Nk1MmIq2zOOYwap724AnQJcGuEhuML4pcjruTOL7vEZz/2IJ9pV4bpB3jFhfQZgEdDlTnEyEhZlf9BuiCIUABeCwbfUSeVzv45P9B1ZJ90lPPWb2Y7tVPk2BZc0wbh+EProttb5GyCf49kZYSodepYGPbZvvZ3jiRm5mOcZKaQl3kb/VCbseIxI76L9xXkFkMJAr7T3ye4DynX5PKZIr3yEFx/JZLQcpoSserntCoXGo2qXaF4g0E4wPgXQdB9LMNQzu9N5Z487iSxR5HJYCBy8whyNzgtsx3Z2nNj8tF3YBK/tkrMdg30e65w3o/OifYesDEdQVubQhr/H4KOXDoZ9sR1654QHQ9bYnbiBLIx32bNrwhNOIgiNhK/xme3EG/Ucv2HKuXPg/Ro9SP1sdm9nmucYcwA+FtpPEchO9kA/NAlU5lFCZ4pu1pnfaLkNWjk+4TvdqsWs4OQ64Aac81HvGNwB3x4Cubp+0J9FeelHqV7qMF/fxOeHaN8B7JH2Ct+hb/ixOat2gkBW9BuGM3IAzvjyvo1JfdFd5aIICx/Wp+/ao54Vg4EqHt8vyNHweFw4DsW3xxMfZzecP9z5qnhIw3/8/f/Fh1z4tT3Q9MAxOvPUE5+t3xX7H3/7/6FB8P/9/AW/jfOcH4NZ/TYucP84L5za8OtQw6/z6qcQt6M7UlVwnt0pqvoBPVo/horoQS+B6BHubZbnvFwhXMsg/a5X95hr7zvv9Pb/FDg+xWl/4tPGRELQgi9kqPGPMQiKsMvC7o/1I8BF525Z26GhQHVXDPcjJOLxVVocm7RTddaZjmstjGvjs8EZPfghFH7vn5jehf5bx/zwMjZ2pFOwDHRdLniuV3i8X0kP8rJk8EqbOhYb4XpO/IY5HTpOXx136jjpCy2pjK5lwh13BX+y3yH6GSvvZh26t78Z+J8pprGbPoxVoYcBGLqELu+YVtzWEaxX2twl5v/52hjLkuzQHYy53l1/Ao2z/rSBr6ov2ImSfldwOv0mXS7BEZ5x+7lNYBm74IRK80UTHCF/wq07SY6pawcZjTgP7+xYXoize7g77P3TThK4s4GdXwK1DblLma8AQNNxkhLJTkG0JalMdpSE4JqbNYpcRgeN+E5YO5aYd3Ye9Me2EskZ05lcBwfpaok5Wr1d/kzZ7WTg7zkviQqCa+lXcmY7GpiulNrhdwVuFztbEE4dYty6zpxseBWMgLExXZXwi4RD6xfpprEjKRFcgtiPJdl8kVHQxx/LdUHcr2193qH0e5Cg7/pKfNfHwU5UuugeWNsR+0Tsv8FPeQy2QALMSwj2d660waBh5lPet2s+9Hp8nmqgL8OBzaV4WlTijUY7gpXXW/1WH9GrZwm62HxmfQ44GbqugymgdcDZRqA5rruig4ynii8xLQedi6pYZA+VAc2RSocmGs6wWX/CSRcj6nKRi04rc254/QQX41uBfhqS8ShfhyCcWr8rXcDSgXi6oY+Xzp3NZgfZLtpD5+7aYQO5nWRrQ8y/v/VFD/ner7T5+PbE929PfHtc+NPHJ86j4U+PTzykH01sJykBI0B3NGGOWHv3D9cHTjmAczpiP9uJqx34PC9c42qbz+PEUxSKs8NlV9fYdxy4zjhfVMlW5jR2FvPjztuE+OqA2U5Ns3Jqbcjkzcc8JSm0wY806hyG584DBWI7l+1kBB534pNMj5x4TR1jiLs8MN6oVH7CwzDu9CBhZlO0m8vc8fwyf/He60m8S481oMX6bgzY0GX6T7b7wkmmHvw9x6Y6YYZ1vN2pOfw7n7y6JOLZXZYlfntXltv5g9iGPx2xf8R0M0lvo0oBUoiJSLVPHnMavkx3ymMJ2L5MYI7Fu99b/5cno030G4XbYKt2Q5ph87IZY6BJ8XsrDabY7x5Nu3QLRr44xkuAVoZ5D8OorKkvKhgNeZ/oeL5XTLNsIgkTZ86Et+yksL68lbJhkdseOGFD0Y4QCyTFSvVdWwwjPa+MgPx+KvDmCJm4uC1fwGeLt6akh/7ddCEkUlQWg2W88/pfwJaVj0UZIcV851Arcf8mzTmsVoxoS26ZF1wRWuB6RQ8MH9FGdhSHfAxvoZAtbTNurSoZFVhgiL0s5pY7XlI/fHEhRUI6/dwoSpVBNw3VyT/E+nEzhjt+WdIRD1Jy4uXvS7Bs1R/mP/yuGAvL51VmuMkgCrS0oXXLH9pgGiLjZKsTFOMaYdrkGXzecWU832TSMfH3ljwj3hV4OberA6n5qCk3mIS+ozvzDqyLlVb/qcCjdQPbjsE+Gs6z70Q9RHEe2iOZaUdsj2Bu+JALH3LhU0468VBxELEe0voUkwZbKTRDeubR+VwsQhrA0YB2dLtWtDtmjwZtR59AfK9xgTNfOAk4tL73OsWOdxb4opLYHUNWpFlBGhvmDQrAZdEMhBDtXNOON7fhc5kFeHR2N4Q13jXr8ikzL6xJTSYX72guRhlqiNIou0LRyHxeGcZmwL8lcu70y5u0lXMJln35eLrGn31HX2gMc2yK51+pY/eOnbBv684/0/vpC/x76zh9t56qWLV4/m65d/Le8ZU3U3kn3lfsqFAZfS+qmIEU6cU7uzK8ji/K5wrGoBuZfLhjTJQ/BXq+BUPT3ze/c+CBYDoN7NkmRT1bluelc5oTzY8y0DzlC+/Z6Tr09tUWLOoxvS/I0qmbuwMWCHI9B/WEqneyR+L3Eh5kPHqVsRzjII33Ak+FLyRZTnXekc/O/vxzpdKRdZey3nZbeSo6xtDGmv8kf+fyhIPS4Vzgm+3kcD0TVW32pumW2iYuXN2TN9qtkijMOVRme1fX+Op43+V/odvd6m9VEwW+f4gX8vjewFYFvS3tbfTwV+nLcjHImd6G0xQ/B4ZTUaeDjnhfXW/xMvE+/zwi3tghrKd28+6h3RH76KcpPR4Nj7PfCfsxHK8PiScq8bnbhzQ0PfAYHso2cPVoPfjWgoCfOq60OVrfNXs0HONe2ePo+doBd1x28Tx2xnqAg8xrQgKvmbYBbuiEgyPkSKcvpHwq6DY2rT+zHTjbhjuAPa/ZVA3jChl1WRZ43J+DX7/LK/ADupPYnd73efIpSlW7r+Cqnm3bdT4s8XcgAwq6v9Pxf0cKTtbd+zzOuU/5nVC9u/z/jGzGn47YP2jqgmEsJI27M/li9DCpBofk+5R8UUYmU+x3SsxJwRHPc+cSenQpEO+gSVqEGagcsZeZLx8hvMhEP05FY55Nvs6YdVEGrZ8cbRruN/VdnFM7XCI6iAHxriuhhUrrN+fJuzf7PTCD4ZJhY5FAYaFN4AbYYsRIjGTx57vFwiPl8XZNs7HXtNtJEZhuvitmRhcLVFvErQpwjd2yy25lBgyTzgRL5POCjyWyJtW34Oq11ls5NMxo7vf5wHcX6kM8ctnfnWRAWNkcyUzvob1svyuNylH73heO+BTMHYwfmBHSI2/7oLygT1NgDzi31/Ef38tnR+Lm+yGWHeQ5ybhnEwi7G7LC7M+ZFoVwA9JD6Hc2GEP0JmYdZgyG6Whj/JzPWpJ4+Whc5xOS7tJhQ5byh3lHYz0ddLSD2XGq63y1cha5aYpoHv+sCCXacTy40t3rs7t8nV6pfPvQKQfM0X9o6Ic7M3kchkLeutZDOx7GHaXWj1FMiOZ83A/EXZDS71RWlXkHNjsqKVLTj2CFzJ3EYn2Y46SjXu+DpcKhafe3eqLoeklzQxR+ly9VSbjEPCKMqqUTYqYTa7TfcTUWLgDYPVManG8672a2im2OD94QZdTA3Rl9eFY2yFqd8oplw9ytPHEVEtOWyTIOFNGOyzZwc31HoJneVwyZNxV/e+4VWQeMLtLdotZX29XtizUjinnOL+nz5PuF46MbzufZ8MvHE+fR8C++/YaPw6KXuwH97XjiQxp+bY/hhBU3oJsCn3rgOYD+++ubw/PtuPAP18PviP3l7McX/HY9Op9Bd8J+HA3nxycuFXxeJ64meF5nN7TH0cRNMR3I+Z4q+/3RxnyTyS8OQEX7goEAavcTHxjb12mcbN6I9jqKpAPhducs47TJpCOB9jvKLgmLJG20pY8B9z9oZ99s7A2em3dUGR+2axYyrQj3xZKMHasCkpEynNFrH33BwuoYO7vCQhbNP2vv4J1cAMKVDaNMuVit1OYoZ3AwDkz/s51mYdF50+47iwbZmRSqKnYTVvBXZe8b5fZHWwrXQ2ebVnnaDS6A3cLX/jGdyv++pM0ulf5u87xIuzFeFmruaIL1qB1MGa4qezqlYhdcEIKObXcNn/aUYfagovlut5Ccg5rfmQ+v5hTfP8v2cemswOQTngd1vlwmPuh/rrdZNY4T40kvKsbsVwi0voqd7ptgF9e1/cHLJkM+79thJ7sIwprGyBscslrUkZ3fkr4zbAnGvvt86EWHjHvr4Xrs4rwyXXno1mar5J3SXdaQzm5tUz0CdJtu7EjC0FV9cZuCKE03t1M13DFmdbGNhFjHQmsZBzlPMaYexGS4HbpkoIGxC2oJPuY2afy0eBbwQ7qIwcBtVbLJ7WRu+/ArKhf6WdYWijnFJ4rsnMh+Qo3lc32LQMms/YLvTJs7RiOPyI53htXxTPw0wqZT3z9o3Kjvfc1k8Ay7N/fC3GEI+CbzLNeD3UD4Mh3X9HoAcxd1phlO1tcs8/Jvjb8ZR0FMsC5ataXTcfQSHutSes1Hvga+3+acWWC28hUd2aNlDaGvkbrMMxrn/kpHN68xzXcS2xEqb/Tm/Dd3cp37vmaV5myGxz6V6pMmnc8ZDRkCuT+78TDYj+HQ9VMkow7vduQB4KPvhLUTlT4+Lpxnw8d54ZePJ76dF/7lx694HBf+6vEbPqRfcXOK4iJkdBuyoUH8edMD386nn7jUg32b3ynbToGq4Dpbvzf2AYj0wN3r6MbB9TygTaBydBmk/XofaQIdayaTFynJAZtbEVlVsIXhq5+s0K/YAdlBjXYjh/lJ/MgGVBpwGN0PWpt0Z/ddE5yhjmJcrZ3Qh7jCHxyBMqfmrjoCd137QXzOfhqGx5oL5Sq96s6eSvKG21b6bm10a1wnP8nli/nZbUyB2duLjj9kdQArnbD0bnBiyKNY+RTzYrl5Zs+r76/B+CdJPx2xf8AkQGeatg19PFTMO91CGkanjqMJgsLqiu1QHFhZhN3dIPM8cVbOaNYya3PnJlK0MO0izZM5JGdiGplFVpxGXl9AFvGdoqEuM3jUmJQkeBMoipJxLJHWiuhoZoO5dDhJYIj9fdes40IbbpmH2rOWdvveSQ8b400GV8KgNRNMbbiyDGPy1LbS79TcVoARLWeDPChkFSNVTBwDyMbzNPiJXu+kLOAGtBtI7lQfC7psULNSOBxL0+mT6ExIUBIOswN0MRAt79EVG1ZgmLYNH0E5MWHMi1Q8xqSoLAsOXHdBk2w05YWd7XFApHT3PvVBdqXBHAvXpNZAB9S3ueBCc7xaDDS+wIsulQJXKf8FHXv1gpUkHYe282z85PHmflGZ3eLYgjcuU/Ca4JAE3Fg2h5TDZYqUsLaqi3JlTp8wICe6hBgOASujZl1fCTeCufBgedMcYtzpORTASx3RemDebTT6KUrPTlqU3ylmDBIpqozbuLCiowqJBQfNros4FGRh73lBqqI7mv+SF+f8ReT1fvTVE8GhO524CPmz8Z+rrHA0A2moHi6Sd4lIl8ceRJR4gC9Mnrryh9w+DU4w2Aa+u2M/0qWeY5SaHe8sLtdaEDqAnAo5W98FO3bCPs4LH0fDx3Hhl/OJb+ezRzMfFz6k74p96olD1Q1koDth2+jQ5Yyzp2McQ/VsR78raJR7pmM1zqP1aXGduET7Il+Lu2gdB60fG6wjX388HKdGg4r+WzAd0KcO43oQ2aF+b+xcwNBJI1t9guhi7IJFU4/A7uPRj1c+xs5FPcR9m7bQaobdcQrUnIuZR7M8S/w/0HQCj9HmvG9EQfgCmxuNBe9lmUbskfNm3YePfFzm110asNyVMVnBbQpWuF/qNqMtk67VHY4OU/V+14VdBLJ0vL9VD7ft/ITgpjot/8459TMVqSlwVkpLMQcSHYSkm+e57D+XdAPPjjbzEWwvd3frzFfaj68Wo0xf2Nhev4fOS/5mbQJrgN/SOH2+Gvuc32Go+cPOmbHcNyZFmawHAm5P+nfAeRAHlPFVOrjp0uIk4sykVy3OLPpD+s75F77G+iPLYNY1Jf65DTFU7+44Ib1VJl153qH/e37qazX1s2x6aZdbnldBMousiPWHwCpZxyCPH9uJbDeW9P8qbWhzsX+x4mah66y78OemT8CU+2F8TR+pbAn7TbpyacMTrAzjYpMxIJTfxnbmV4fRAyoT3henfgJ5m7xR7t+EVwByCMmLyuqq9xnSd6b7gv8DNGav4MhtZ/0HNP8zz6nG/FXa0ECol3GqkTcEmnsx94H7+RfWqxisPL/eSO6YA2ZkxObaA6/4Dg8OCAI/BNCDCw4FznkX7IMcsMfR+rU2ovh2XG5Dfj+ucaJS3xH7ELjN+Ikusp7tpPYbHiK+I9bui7WTlB5jV6xIP8FJVfvaozSICFrrDlsIxvHEo0uN+BPRqUDo2qAxdwv7fVHIZdK7qEKbdNwTnSyotiqcLxGu+bjjTDMHwr2x0lbe600kx17uhyjiZjIQrRd1bnUosEzKk7aux0F6g77v2l3at7W3TR72PSysRxDLJt+C+XMWZ/ybgXl3+bbvSH6VuHrFg74gB/4p009H7B8w9UVvCZMm3EEFmuweuaUzIpXT4DrHpQgC1nis3/dljcOVuv2RwmOi845K3lGzUx4H48/O4tj5oszdJDZ4BqfibfbTwB7Zg/KbGLThMe8MLJr2+/14t4/CjwIMz3jbfVaWDb50nFNYGGBGBRKwIz87h3cLbozvO2ftdNZvdlvwWOTx0/hzSSOwwPrQM4/fB9wR2mgRSdP4ZYEVduPagqs5jbisTnrIz70u1X4/n0Uyi8G1dmouGvfxOZ5wJ2HQOK09meO2RitiOsVS9GzeORTKSHxeOmUsL+/e4/ykQGUnrrcxcJAXQkzRMUWeo9D9U4B5pKV6pKzdfR12FrdZpuqztrWv7Jh1RT3tgI0rDbNeXkAwOHhYlxTwYY7OrMH3vwPxPsKjARh3WHP0YH9JSuFGOXVcnlQ+KSi8sAMVd/hZ0IBCunEh8Ls+Zn74fbnefx+H3kdhBOnM48qmjDE0jWO886NMz15AD6U7n0zZJjlHYs4d2wPfijmfoJh3zFr06nNzJwpXTN3iT2CME9bybqACjstukEQc5l3qx+eA5wSaKcc8Nw12TF7DfMl2eovd1ymxH07Dea4MmAQEH+gTVmbSkkc5JsPFduyEOz35HiD7M1456j6eMndCM51w3Xw3rwoOlr02V1vsWzNHJNPkKC+fB3BStHMbRqNcEFE3dgH4McSHKL4PQ/rj6Ltjvx9PN4ovHPi1HfitPXCpuGFtaPo4LhxQfDsvNH3iMTrx1F7m2Q78Nu78sbab9oC6A+iLqYPgVMdO9Y/W5aHJ9rHrAJfQ3UB90PVjIObQHll8Np8zUOn914Eo59HGB6R3hI3vOfA9PdGDqMbKoDTxRcJ+uoDhGGjjXmpp0u80tzkh47QQCOSp8Q6zzEccRJ2yK8EVINVOs6LSWb+vkI3XeX5k3pC6HRaf07zaGdxVPfy+XpCXkCfoCKars67SVtCrxS/X3fPdjTzHd8eNBj2lw8AR0vlu19hXYtwES+Q5Sv2ep/uU+LHyqq4v/EzvpTAF3sUb5Qs2AtP/LrhWgTJI9d12M51U7eVU0eCys55lpThPAbAGolkeCxZhfVYjTryvJKtzez7fdIVrBfwFzpQCS4gnhak23h0JZ4tj0WHFisPM6wocM8yLvZM+pWm4m40dqJ2PM8NPbdPzhT+EAPVhS5ATVrOdiVl+px9uneDcJ9NHzcFLwby5D0Ef5z/EMWG5F+RhlYdxLSZ/J5Da5q43S0I6KuORRFxwpJrdybZfqV9WONr8DkF+1j8K2A80yjgqxi+kYTuVskHnXxBz/L1hT+fVs4HD0J6mOtK7XH7qzUnPZp7NMPtcijBIbrdob8HLoBl2sHpesw1l4t71BguqDH3U2BfTYe1qDEXX7y0Pw2p9UsyOLjyk8+K+HjN0BafT3p7zwTzGVo+1k/Gzk4kEg+PbT1dZeYfRbtYLsw5ZtmnjWMFwq0Mxs6hh5za8P0qfVFXWi23dYFevV2lHyQ69lI+kDu0PXVJFpj1v9LBZMzI71/F4RPp0oBsgIv30n0Bfk6bcaV/KO5tIo34ONhAAp+J8NBxnw+PRT036Pk5U+ji6U9aOJf5+PvGn8ze38SwdcqGp4BydPM9u1P96PXCl0beA3If044qvduAx2gIAEYVcPfj1OgStHWhNoDj6HFWBG2d+4sdsQweT0YPmjuGTAsttLHRMAtF5VZtqp494miKNIfMlatttGJNXKnNX/6A5W1cfhtzI32nM6awjFWUaepq3V4x51i1S8ZAvrCOnzOU0TKys1icqZlVkYxnt82Mtt6xVFj6bu/KxMgQaeOWA3b33nbK+xuxIrOUVt1vpEs6bkn+rkq+WwmadSpj/ZdM/C0fs3/3d3+F//V//V/zt3/4t/vf//X/H3/7t3+Lf/tt/CwD47/67/w7//X//37+s4//6v/4v/Ot//a/xP//P/zP+7b/9t/jTn/6E/+Q/+U/wX/1X/xX+m//mv4G8IJr/4//4P/Cv//W/xt/8zd/g//w//0/8y3/5L/Gf/qf/Kf7b//a/xX/xX/wXf45u/tlSd1JEbVmuNIFt+z474nL0Bym7/o6IGiBGZ+9s0fdGueT6plHSP4Wcka+OfaqeVcem5cukQ34XOJnjUv1ZmaG+5Lp2xic7aj36o1D+MvMst98DcWzzIpasuFmcyaOcXd69OHOpbXe08zFNN8mcyqWCeQjk0rCYZ0dh9+ZZU00VNyVDnO5mpSOe7Vjs0O7olBkfugwcfMFQGqJToMU8oZjTDikTEr/naF8ZCoYpMOYkUQHatziOCmpTxhGr5ATzXpixmxz8wQmRhNTqHCJFplKITfE3RSkpzr6gEGiQPqlfQWkzvS8vbInxsTQ2rCueU2k0RWdnZPJC1AS67o8506EEO2ad0tB3ViZc2U7d41qPRDXj1WCWi8YrKWVulBjOR149e7tLmzKOZOEdrEYPhssDaI9+nJnYWBRjxZ0NTkuYYqldVvqxroxXtX+J5wvmC1CHZz53/BaKlMupgV83qmyMLtkuiixHKclw7F8jAMLwxe0ZPGm+DLTM3zuDU6hATlZ/A93JQvQwKheFO5zcuE112vzwBRJ7MeaKHZ3tRjDXQbQuir7b0fqdQDdekR0x873Mo+ISz1n4wmib6c0CNRwXBk8T6AcJxYxHn48DrmvKLOcD+Xgl4/6JN6gMeuCd4Gp96I5P20HCxvJD5pHEfVfshb8+f8UpDf8OvwCtRzX/ej36Ed2Ujm4C43Fc+KZP17YbeqTyr1d3xH5eJy7tUc9WwyH96CpzEKuO26pPhZwX2rPXjkNxfutIaZ/HcHp2pysOxeGBGalvJ6AqaJeg/TaisI+Z13Zd4JAe+X3WUQjqtCVDZqUjc3U4h023eAByKU4bB5N1g9+e2dnug4g6yaTb3kF1Hm68v9ORRhuA6TEEoiHQszstSVbYZ5DVJAMX9pDVEU3Pj+hILBfv7FqRi06mkQmfyy2bk4YzPx2E9DCWHSDZU+l+QRYNOJoGnhuOq8r8vXpW5dklnX3I8ER9b0cgPxMnUcwTK/xh/3g1LPH0g0GPlTPU5sSgC7/bNOuALxtE0CHuyla6+8tE+lF4zAHOu6CEzJt0zrFXcLw8CaICtdJPEJ+F+gqcLfpT4jkZnt0u4a47rrQw21n1h+VIYmDyEQInlPzqlC4CebPDU8munPCuvN3Lh7IJ17qWN7hN79wF63qe1G5wOlLeSsdyG7HCkyQ6YznlAZg0hhwobF811uO0Z3q5OZptITyTy7vjR3hwh2OFB2AZjwBX9ZsdhEx/SvmsnTQHdov12z54PcUkreYkjWkYf7PNNOYJxamcmOzH4LkpD/c1rGUUOrvbG4euNM3B6oIeJOp0rnEnqsy+cMMq6DbuoBl/B4RrLpwOqr6P58pjI+MUJxXf0aeQFRf2XakNfp5xU+huKhN2W+/htQ7lMRvvJ9410m9FW0771Aeqv0yJ9sPaxqYvS2UBn5v8x8T7bs1l2vzzOrMcoBeughsyBePI2AD2hg/4M6LHoIdTf/xaFHruwd2ut8rCv3xO2nrEo/UThcZ4y6k4H3Mn7Hn0gNuP8+pBu+M6m8cxnLEjgNeOFrbUaOvuYyjmv5Jrhu3RQ7o92VTwPA5g3BPbA5B7Z1QF0gQXgPM8cKH1TS525LIRngXQGk4Oo+O0girou4BF5+YCc0orne7I+XNQHg3q3LWuU642dJukjYBZuw9WZZolMpalGn3yOiWvAwEowKLBnXpKsMcKOktLKnudjtoTX2Cg5xUtV20WztigYxS7bkt4lfK88hcs+q1OfmBjFHi71DwiNGJ13eThfPZ9mYcyXmnEZVEvr2FVYtjgWXSVf+L0z8IR+7/9b/8b/vP//D//4fJ/+7d/i//sP/vP8H//3/83AOCv//qv8e/+3b/Dv/k3/wb/5t/8G/yP/+P/iP/pf/qf8O3bt7L8//K//C/4L//L/xJ/93d/BwD4V//qX+H/+X/+H/zN3/wN/uZv/gb/9X/9X+N/+B/+h5fO3L94CopUh20yjdXgyBO+XDyRScy9Pgnl1si3CM/OWRnur83F2PBlp2+Cqzch09FJ7WY4PP8Xoq+3k9NxosH5EbK8is7O+Y1J0K69/ry/MINxtDqaHO/M4MS6ezU6F2RV3obi7HD1jF5Pvjd21qtfYmC7RX2DoUzZCXsQ/SVaDsJmrBpvhQrg/clM2Xc7kvIYlLvxTtP8yvWG+lK4lO9SNLxyBDAnGfc28xjS+PG4BQPA6qI544vQYz7KTd+X+Y//P3v/9nLdstyF45/qMZ/3XTvZSdw3URTEIG7y1X0TE680t4onCEhEEAwRVFSEBFRUVEhAIUTjlVG2RiUiiCB6EUzUy/gXSA4IAU0kZuMpvyR777XeZ87R9bvorupPVfcYcz7vWvuwvt+34XnmnGP0obq6u7qq69AYSqQVnATDKqysC2rcz7wpG0xK6DJPyIUCbBKyiQ6trM68eIdDepmggO9zLNQPuFUwh1GacEe/WSAp1zZ/xKwwGaQFE+EMVpn7PRifFqZXV3gEwvOAC67PxkR6JprjJlC38n29mZBtQjIIQd6utnnyRO1ory8JPi6EL+igAvHeFeu/Mf2CKeyUeJ6IC8bBtFZlMLiZ+fY5yGsiebQOPGpcGwoP3ez1FppDQLDAs7A6di+PA0v1epcEU1vcP8eDIt5fdY9VsTlnzSu6ERGaMo/zIe5vPm+StXqgkUwDEi3Nz6eDiyQcOw2jw5vS51TmYYayO/VV0O+5b3NAk+f5vpsnawshnJMpT6/Y8KZeXKDeUVqYqe7pWrX93mghVi3YRJsls4orbM1b1uuqxQV0QQtVvNcCFcXWFaH7Xpphgs1bHue+HlEUYh6wacPWtCikAPJ0wLz0AzMpCulr2g+/mGDaetf+wMbT1srWH/B49bmXjYuUQxTD9jkgrL8Vb+IdHPkCOIt9Wzi/10XPvK5+SUfi43z90e8VT3yYFrTw1CKaPNQnWA/rJN7jAAY+YJVOl/ydRFrpnrAsHGO8P/KWnJrVOCYNl5GeTJFZArJt37xH6N6lKclJZIiQb3yuvKOBsW6nSEEY74dB2qAN7H3aMmL+vXrO747AZp7gkemhi7lmrw76PfPuCOvCyy8UxG7gGU/u5jIdZ3mdhPpWYJ/1mennHTyONheRtGwMO+4mee+RuotgOqys6fdJXwIuMh1gQ96ukM13Gc784flkWSlhvZ6prcUz4/HNMI2+B3kp1T8AsPoQ9reAI1aUpLJ168ZIvSMOQzbotb4mHsr4tCMsTYo7+32y93B/gPmu71xnyG/jaLDa+9WeqPSZ6z8yjDCek+E465O/kznPYt5Nciv1dTLWwkxLvMl7tNzYRY24DvDwnBSdcZzPA5hv6Ioqi7Iyd45h6XnRo7sAYZ7YvAvheB/hofyTrrTpEW8EET9uBA1qj/GSxyWvdeqKf8nXxKXxcLmb6l+dW7D8GRTbvFWc7G/LecDzP2SO5aREnPj4K/Wp//njFQ96Z87mtOKb8zxVmp9MX31e93bDWHf5sfHuEZfBEzYlWydtnkifH/2hnxs1GcuutdlKv9amK2FfbTtelRte+ZU2UcYqorjq1pWyhe6L3fz9BsUNTSblaE0mI9pnU87WRjy7zCgyFLi+rYm2PLUjSQhh0vBk+BnI6J+X7nJq51o+N3TCoV5wHL3NEp2PtSZ5Qba1VNDq16w053nRZUubA2xcYbRxSsa7WB2j2XXK5DznW+wNJs+s5MZc1uboWZrl1zvn3SeJ6Y7vCW/jFfoWRYLzXfKcfpv6vNwjKEj0/a7882VMXxWKWAD41Kc+hd/5O3+n/33v934vPve5z90t9yu/8iv4Q3/oD+H//J//g2/+5m/GP//n/xzf9m3fhufnZ/yjf/SP8L3f+7349//+3+N7vud78MM//MNT+f/6X/8r/ugf/aP44he/iN/9u383/sk/+Sf49Kc/jc9//vP4wR/8QXz/938//uk//af45m/+Zvzlv/yXvxRdf3EyJYsl1/nQxFptgJPlKnnIcjid9q4/3zAEMWcg4opxa/vlobg6kc3Ct8Nzb0EIxn14e+wH9/NUkOFFKIvnR+UA98iUHgrBBKtQfTioJsq9arePn3sYdNyJDkWvC21K+e2gm5UFSkwnK80FA+caYfCDNhoTpd2meW+NjQqCIKw1pk2AG+VhfBkYYY4ejzUfCplCzryw8qHgKERdUsqHOY+1ASTc0bxiBewq3OEk8PY6sgK+KZTQPBi7p4l2KmtjWwuid4AMPNYeZlL26HnuAqN2T7p+oCPs6WZV0ZxxLxlTRhKtCDJTYp5d6D5aR3X0PSuzXamY2yC8Ge5E+j2H0j2GF8xxq1/73OxrYIt1gQ64siejz6mOd8ebAJWViNQXEB5Z8FjRDl/aFdie4fi2PIfCCNOBC9HwLii0d9rh1sG4uCd7XngDB1loBqx+HeNiws2lPTPhhBWzo+oVYQT0SZtXowLyXBr4G1l0d+WL0ZOMCydNF4Xa+NsLn7u97zcZe4x5vGVjIh2MufWfw5Hb/bgTA6iNba7dM0yuzePUynjViLjz+p3hHmG1VRodKBYi2fDfBV73JjVmnOjRxDTaszAvo9V3DjW6TIK4NvtvUaA8A6omAI08q4gZ9dL2wHLrY2v7CtVf+Y5tw4k963OEYR1jKwzu8AbvSHTveaIV45DJeA0Mz1fzUu/7RBW6n7YfHl2vG1QFt8sGbHtTipbigjJQUVBQFfi8vg4o3UTx2uMmt3uAXpcWYuoLt9d4Uzc8ScXXXt7guV7w/v6EIor3tmvzvNeCCsEXrq/wwe0CAfDUYQAAEcXlsqMU7YrY/nyr7TBL2u4tPRSwhcvipNqswmsl4iCKUiouT9XfQ8W9b1XEwyEXu39Y2xxR80S2taF9AG591HyN9DUtMu56LuNQWHd0ZW8f+ktrV3Zgu6qHnB8Co3WIJsiKNDHdq31epJT37qiENXpld7CPhpi28D6ZeQfm05m2h7JkGOJhT8tCyM4HB7wmDWRuO+vWGV+pjEfXyTwWl828gNGBzndtuzYetAjqJdL8kHx/6zTDIpyYUUgf78Au5D034/Bd+vBphUff7wYD5FF2cpQJumJlGdKalf0AJqPc/FPTfdH8LvPcB/Oe7yo/K+/1sKzL/aZ+cr6WJ3XhQfq0CuMc+tv303H4nRfuYAweUqoTrBOcB2WzQbbfD4Yx3g5z4leOUpYnAkz0PkRQkpSX6zgIMxz6kHiTM1wdvlvgiRVbQQlT0t+Gfm0InM8P/L7zRxk5zs6MvBYZhdvNE0CIP7K86LxXNwK0up3/C+sG09iG/aufyYf9eLGveB9WYy62jhihC/xLeue0ZITDZVkpNkL7b7E9FoNOASEErxvDY/zmMMzh5dE8l+P+5nydLRrwGPwJdqppcSCf4Dqi49YeTxXCZ8Ap1TOUrQk+k2M8ZGuHZWVg4xO417U16u8OBYUyd/6fjaBDPXKMeuc3DZabOW1g8Fm1k06XpWVEScvXAtFYS+q69cdwYmUnfg+RT9NcZyJqLlMCLucH0uNzWMZ40L7Kk2Yaa4LB5SNvc/DpfrbD9M2GteOOr4KaEi9Di+RyougJ55HoxhjJQMXPcOxsIdPxBcM4DHhHRqdtu4RyTS5tHbZwuK0dbed3ji9pEYK6InbbavN8vdzwVCo+cbniVbnhve3mV9o0T9hBYNkr9qYtGtKth4y7UZ6LVFw7ku23lfMrcNCVtFu7Xgf7hrLtUL2gRTdrs8f2kVaoTxa/0gY+rtNe0o0s5NLh34ac6Pjj6GnoeOJrbmxMaG3qJkPON/lPMK7fUQD96qaKdm2dVLSzgIIR/rgCRQQV7Sqf4K3t/OiAKxi4CAaPxxEeD8r70i2pHkq+fjsaPQrhWbL2GNbsrQvAw1SFKy6IR1zstVYHR43MMB+d8QZ8THUavZLTZ1zfIeE2MrYMm3yffgwYDyKRMgyr58YIfQXTV4Ui9tu//dvxf//v/w3P/spf+SsPlf07f+fv4HOf+xw+8YlP4N/9u3+Hb/qmbwIAvHr1Cn/+z/95/Oqv/ir+2l/7a/jsZz+L7/me78GnP/3pUP5v/s2/iS984Qv4Db/hN+DHfuzH8Ot+3a8D0Lxqv+/7vg+f+9zn8NnPfhZ/62/9LfypP/Wn8KlPferDd/hDJuUFa+lsHvVFvrwwmd9RJaeWTIn543tXT5WxXEU5IFLOlKa67qzDF6Xc5yPmln4/FOoKGEygfefniRlagpaUWuPg4oTxSbAG4QUP3NvFz+riuW9MRMzrOTDOGIaN5A7oxDBHoNIGFbiKF9a/fC4BZ0HwN+SnDd4YU+ZJrIwKGgNk1sc+gAQqM+wqIywkZ0gcgDPQ3lisKxdfMglWNRC8D6eDhgeY7EN8c9sZZiuni/E4YAhCFmJ0juCcDmwW+M+HJ4+kfEAc6lwwcaeHY0wncp1Yj/O9wz3O70vkjAHhhlY066T+TM+MQIVDCwYm82Y8/7mue33LoJixijHHJNBO/OADc1cUMawOCJ5g/YRxGGWPmIx04R6hnzOuNc2f6VA143ia02MS5kOUVQr7CeenuRz6cTIWAR0Lb1iksZ3WzwP18sHDck3kcjWWMyWawDyq7Z20e3L27q1SC/Yd2KtApClGKwQ3LbhpaYzywqoZAIoqnugC20LAld7piiZs7yrBktk8ZM3qeZNxV60J0gXS5YXuPVu6gJ3m+EqeCLLbAUES36i7BW+vZjeltu1nSj5ceaKqxPkZGpjXeVO8du8Fof3UD1fXa5jrhIG9eqdjHi2NtB5Mfj716D6T3+emw9p+e7hCXQTbYajY1XcrQ8aSod5cN1sz90wv6kGaLt7/Fd6O0gv2hndpTixXxBfp+6MD+yB/LxXLe1f9/dtY5N9Jh4cynCdb5SeYVlEfXgzrC3iaI+Xz3XJ6Mrbp/ZQWose6kTnvMtsjfZiMuWd+4q3mxElUjuW5CZVZ18dAYqZh4fO4npB3sR/OBZBoL9Zr7ZRBW8PBBkJTEZ0/rduBRCxo9sSfHc3He3LR4vehrHbYxjzhJ9mxw3kIztn0e4Q+Jr7a6zzCR1bA5vZ1joBmiM9yBNfLYsJS8S1AuGMTEd/K9VllqS4VMgldrjGNfT/ijbz+4WEq6ORiBV9AhY4CUxsLAhhwoaP9E1n43hncGe9yumb4R5oj07rSoahW43VTNWH8jKderO0lbL1eRl2AueexueHGBFQ+49DPIXFCJxdrfFr3E6FJbRMu4vkxrS0dn6Gsh+bteaTzubXHHixo557S+6AyRRhq1XQZDorSvWHt2YaKnQ5IdlKqzvVQ2V5X7UwUX4PDYY75ShuT28QIvp9H9s9C881wbErQjqwmU+rwXiccArSNC9KEAqb1B8qrva0qXbFvV8c0Qz9ReLQGtgz3662s/v7bFOeSmp/Sydqe4BtomKtZTcMj3uItedup3VzPWVTQe3Ct6r9XFe9LiV4wf3zId4DoQKYZB+n0ztf/F6WvCkXstp1IaHfSj/7ojwIA/tgf+2OuhOX0F/7CX8Df/tt/G5///OfxL/7Fv8D3fd/3+bsvfOEL+Nf/+l8DAP7sn/2zroTl9Ff/6l/FZz/7Wfzqr/4q/u2//bf47u/+7reG9SNLBdCL9A0lEVNLB4fJIjqs0LNXSRkKU7ZkMkv9qY3MWGzo1vAKMdMeq9sPRWN+exeel/HpVorJ+25lUZz76u/yhstweZx66Uz6HH5YKFySe//eRhkOeeoMEntzWpPEVDgzZHfpFiNS1LYJlX1UJvQrwdb7YuGIl0zkPnDuzAbh3u+KxVxeqg6vNoP/bDObGo8/m8JGhkK3CPje40l5z4y/ql2HsFTe5gNStoJmRqzxtBIUGDyWPKai2kJC9nqKmvcOyHpP3TrU7k1h5tLuSRWgKQGAEAJ4Pozo7/ucmgQ0Y3S0e6a5kgFxDhszbuuvW6DV0L/AfwW8e5vEwKv1cTUHFG5ksbIoDgKc4aiiKUdEZ48+Yry0W/EZM1bSvTQwrzvAadDKytfbINxDtHki74QvDHilhzkKlnVMn5jBZ9xxovkiiiFg2uuJTnXhuwrKFe4d6/MhjZUbf5pVJ0ZbdhiaD5Dk1ukYe8KaRXKmAz0sql46I78L5NozbYBbJNuYar9DpCtqgqc3AFwWVt6MK0FrI9Eq9yq1rHRvoStwfO6m8rYe6ABDOqLkFor1uvu8NNpJlvJuud3XFuPU6zEPt75WTbFo/Rj0t+OI1kDe75zuKs2hfmdwtdDOfS2JrUNrzmhBr8+d7HTkEcDvo3U6EmiSBHgANF4kjVmA3+htGbQj55/uAOa5YonWXbBK7e8a3jGs3Tuc1fbWvtfIzRZGq0hVsZcN9SJ4c7lgrxXvb0+uUC2ieFVuk2Xzk+woonhdbpNy9U29eJji1wV4Uze8X59wo/DDpsi91YK9FmxS8clXb/zddd9w7e8u/U5XfS3u7SoC1Cqo3UO2bM1rtlZBrc0KupTa74I1oqhxwEt1q2mPitvfC08QGTyIQDxUeLu/2f4wvvcNRdAn1WZGb22OVgv5denr9oO+9gTNsxc98oO0fZbXb9vP22FUufEkoHfsoWd3ageL6NZZ33PzXTqkwW7oET8gCDyLYLRla5O8WIcH2Xh/phgeYddGHTHDoAHj6gn1PZeVR4yDUAUpQP2uc1HUizh9cJiBwP/C3+WNavQrh6nN/XU5g3CRPe5Df+sYm8MD+RmcdymnFq8uGghkfoV5TN8bNeKXeUHnw9MeQO+4nFj5VUp7tD9eWN0zzEvFH/VlMuolPpD32FC//c5e5yLhsGml4IzXy1C0KK7nzNOXxsa7sTKaTY/C4Ty/p6U1wxqfHfL++RnGu9auhj7MkUoGnQ001FLpIekXvIbNh6XioCrgB7cUjtg8YC26UqH3q76uksz44ne2F/H5waFCzHhEy8NrMAFjY+I4tDs1rVpB8IbzN0mRl6Z7bM8Mp46Sjj/J8PIn9ZflV5cncz+5eXtH7Mi0Vx0o9EPeNInHO/Wrb8YLSj6H0rPFnunPfI9fwEsIj4owdTrlnnjAhD+jjS4zMz2GrTPxrrR1hH52kukUmuepAlIXd2TS3K2betQup40Eo8lKoW/Sn9HcUO/EAV5Sv7MHMIBxRkiTOJwfTJ2kdWD12n5VLA8wRY9yWAYfaDj1SEiimObBso70uZw/EnA4+qsuezY5laJJ9bqmyC3msWqKq0BHxviEsylez/0KGr76h/cGk59VMMmPQvV7P7qMuDz7SPRw6S3n/CxoviHQS3vW5vyY744qlWmvtrMKXycYMAYZHPBIdpluiwJ4NiUsukdoq7D2u2drpitoStTX2w0F6nLie+XaXlbArKCrlkmRauUB4EkqtsszhS4eZUwJzN9N/myGvNKVsb3erRn32llX6Wdp1fBkdErgV9rkq21gcqhKpK2UdC/tHV1pA2AorRVQO8DxcOYyzpygfr6HCpe75NYmikcqKO1MVcTWtwI7kY4+frwnOYyrqC29ipB/1b+D/Sy3Ec9NqKmDegM4Ov/O7Z7BYd/tFIrP9pkvDLy9r9lRSea3OWKnlfFzo1WUGBresYV2mKCBN3/I+G5FW+ndMCWPe/D9dI8Z/NKmrwpF7Num//Jf/gt+4Rd+AQDw+3//71/m+eQnP4lv//Zvx4//+I/jP/yH/xAUsf/pP/0nvP/++6flf8tv+S34f/6f/wc/+7M/6/fFfpj0P//n/8T/+l//60Vlfu7nfu5DtfnidDJxV1bxp2mxcEI4o8X8XwrWZwtwBecdq9yg2LUFfGSplWB04VoVdYtluE0mzspE7ixMh8TPL1da3g3LTJQRcuInl+mOp+yUujJ2KZxa83KAjzwnHp0jB/NuypPacsXZYmPPSBmb0wDNFXt1UX0yUvA6rSKCIzfnG/u9DZ7Kvu22M4390WZ3IJQYE/hI4vXjyl9fr5xx5HeF6oHgxYzB9ILq4vZH4wiMGvLnYUesnvNsbVzWC0CobT1pc3lYtcxImVnyO1obK06wwyFdMApK2F6Xwu6lOobZ2109W8JCJJTn34JRzYzxUTe8altDC5rj85HyBuGVHgbU5jaODgWUGNV8IMxrOzPbzOxK4KMXjVM/6HDahe+eR1Jb2ShmVR/DxJ/TOCoDTvUxTasRPiCOzUrgcXKZfge8io56aqPF7VOAKqi1oPYwvDcteNJ2Z+yle8naBm+Cslk4mwC9oaJi83DDI+/md89Wr2O+WLGITs+aJ2wP0STx7tdSgNqrKX4vLLqeMe1JGq/S0/Q+55f+75RsEV3075MUaZ1rA2IHRHZA4mG8O3pFEUN/y5gm99bviofLW+jDiXk111K/ZXmC5ShN9OowIw54Ag2fYX/i5Zsi49jvZYSYgz0uG0bmNN0BmmnAI/zco+ltmZmv4vSlkhOXvM8qHW1R2RDniB9cVUnGlVN0ppfyVAdtBQ/Xe/08e/82c/GIV8HCk+2F6S5ft1hbK1J8VPcj8uZLwsRlehPSkYxYBFiFM5/gOHkm428li3se6vMZr3aanM+RJR/0kaUVr3svEU/1oPgxtRfmxVusBxebHt3XsMDhai+ivMt6bQ7oQb4Fvxmer/p5wOP6u6P+rXihVV6me3pe5VQt8cUTvDT4jIdQN+0JR8+9KVpfvs5Ywaip3MG8adFeiF9MTBrz7ctk5TI8K/i5jQfT6RnJUqh7oELOdzY/Md5JHtuFHNXOLiMsrPx46LxrgvekjNO9AZtk2O7VnX/7XBp1K/XjXj1+NmeJ5RI28lUMJTTBHPiG3idfOqbkq/0aLVLw2zUuI2Tw8UTYtRnb5sTKUzb03URRSUa+1i2UEVEUHV6wADxqkuNF2CO2yzDSQyubstXO1LrBhQCQMsNpeB1yYt/3bK7ad2kcjxTzqO3iE7QpYwV9QBKRyLTGjFjR73o2gxAzoAWGQX5BCzP+6EbzpU4rfu3s7P9D8A4Pn/ndS06ihjy4er8s+oI9fpSZ23jrSCj3UqaPH30LHyp9rBWxP/VTP+XfP/OZzxzm+8xnPoMf//Efx8/8zM+8dfmf/dmfxU//9E9/CGhb+uEf/uGgDH6rpJjuXxqWyYv86ZndJ8oeiACCJ5p7jyRrwaWigOipQKcyVl+z9GttmqJ0FRZq3JU138XqMCn6gpXo5ZlhtjIHsdqj9+vY9Kb+2eZsyjTv2FznEFjtN/y3wu6DJSZDF0SsUocwyuen072/6W4dtnjxOwkZTxrzWDtyq70MczujP+2gPDOXQnX0OZZCe3letk7epG2uWxrvaRxGmUmGUsAPS5NHKxQoduDrFpeEr35ngnLFPCbGEHYPsXDflaLfl9HroNAe+X6dehkSlivWqjRrvFfaxvxKYTm8Y3BPzaVnumWtQOH5THSiqER4QHM/77fskZoEgJC194HvugTgXpeTUksUte84zYNX3LMKguHt2uvyvmbhAwh3hLqnZz/El2damyxQ8ByUUU97NBQECpAHr3amT/2O0slj18r0ITSLZrfIM9pMdCooVkkQySnQEL8nO3qV2r0pon1+9n64ECIDZruzCna3j6JbtPa+oT93S8WYfH4r3P3WPWm5D66QFIe/eX+TlbrSmmQyk4QkSD/AvWBYENd4h7KtDWsHhndn+oGVRoc96wNOi060KHinasKpVd1p7soC3e4jck/tC/W9Gw/IbltRoyf7qzYesg8guV1TZtkn0y0tAJ4GjtpYtfEq1wYwbW0hdGSzaIV7xGbjg6UHUp/zfg9aia/jGDeaaYJmGz9xOmHz0d7xGEwwrVKmcwTX4A9kOB5eBaoF+1OBiOK539VqIaVYyDaB+esvb1DNyrmnGwp2FLy/P6FC8Krc8CQVz6K4lNoF7gbArW6oEFxK9Tau3XP1ps0T9vl2aTZQve3o7dqE6ctTVOiasrb0u12B5hkLoN0fW6pbNZugbmUAdEdQgW61C8DtvWqjPRqEaDSkmkcs4HTKD+hcoJa2V5ZOZyoaTd1bnnpp+4JbOj8Nr1epAG5oPAcZdoyrHIznGjyJrQ/eE33KiHnJW30L4mtZrcrkfStV1wdQR0pb5p+MX6H6w6G1h0CztggW5yEGr2G8dbZwXnoTMn4q5el1Hq4rGW2sokxEw47ULu/jtO+xt+10+Jn4yqBs6X2WbsSn2/H4fRzTRyInPpIy2g74EAAuu0HHuLF39SHvztOO5uDywEVSfvK29OoWciMb3vL7VXQb/j3Bevasw7yKOuQ04oFDpEdCD+cQbyxDHim4hsw1uuAKDeIzE+gB/ghE7JMrHCGBzlreIBMyv+D8Ho89refQ7wTPAgfLMuT1CsG4x1cW5VJfH/K6zO9Kqn/xORfC4LlS/7TDHGho4osVmO5GjDRRh0JCZewVlqcbnZnMJGFsxvPwDDP+ghF99vRebXvT/piWuSw+CS9eB38PvDqAQDRSPbav9EoUcz+dfjFgXY4wGYXlA+Z3vclED9SQ98AJdbkRHFwnpeX8J4M1YPTJ52JB8JYdfU8Ty2WlVK93KNaJrpAKxnyreX+0LUsvq+iemTFqkMuXR+cdBsum7dwg7Tcudxb17/7O2rd6SiwfjA9y4rr4QM7osZ1HLOZwnjOwqaFUF1edzzGtvsR7hXc8BrkfzBdi4CHCaJsLYv9pfcQIEqPuKFst1mk/m8uytsuNVn8+Twpta/jtINuY07bk0Zx8naczA4KhQOIalx5hqs9HKV1WhXgoXd0LbtcNtQqeth26SZPZ6gWv6o43+wWXsuPSL9V9Uy9BSfokO7A9g5PJgXZ3LD+z9GprEZgKFBUC6TKjhTC+kWL2aWveuLU22QuuHB2K2GK8UakUzhhDDlSeICPvVtTlUt/PVFClRZmS0q/YMa2pSnO60XEPrNo679HVWhUN72PvsauFpEVHqu26HjUaLkB9Qjv3uTW8iBlYE/l15a1iyaep9HZsAi298I/3sxW9aG3aRFZ/Ftc+rz/BSlkbaXHekNWfh74u4OH1esir9ncrPUqsDIHW5P0pyKxMg3ivqvOzCZwjA8C07/njRxS5R/vSVyh9rBWx/+N//A///pt+0286zGfvfvVXfxWf//zn8clPfjKU/9SnPoVPfOITd8tze1/RlBlChS9GW/RnQgTQJquFImv5JbxbhohKhy2HsJ09Zz5mFRLG8lrbmcG6RxwWKVs6hXesuAyM/QzfpIDBTCSCAL1obxTkjQYT05OtXF5qbeJ1dpxNyg4mVpnpYiKcNqPAh+6dGe8Vu9W3M0O6xo9XMDYoE0TZIibe3crlFv3Mv2ljYObLNlvOOyyAUlWrOds34pqeKZVxRSox+67k4/G2tVQwws3eJLTLyoS7aw+YBSpnHBpSWNgMG2VK+XAioHzB2EdBTUcoFxoEVxByPdoZjyxQniQbAxcYLBW00CRZ8blIrriMUzZ2NgtHFfEgL/UbiqCoh8CVZHYg5o0RIxbowL2Om4KK6nG8dmWWKbcn0tKFZ3RGN9zr41k6KyrWXmqf85MBQmTKEm2xr8SAume5pPyLcsblKsTDtJl3TWAsue9pjjoTTrAwg7ia39Nh7RHTafjn8bB6A3xpDnl5HfARzYagKyfHuGvp68Xm3kBP63+Ay8JcCc1bHQdLVt7mJxmu5H2X714FEAVq0Nrv++R0eLeil7Q32Z2tzWiAPMDp0LBa6Cgl5VquX9JvYByM2Hsdz9qBhzSP2L1bNlfBXqOl8w0bPtiHYrZIwVWvTchO6VY3XLWgasGrHs443xtrd8M2VLY6n3Xz+2L3WnrI4qEw9b5q3A5NyVq7x+2Irqv+aXf8bFtTxNZaeogteBlT0BqSStG2nbiSNq3TzDfY43zfOTDmuDR+wY0leK2SoZSYwYgAmozo8rUFE8/lGROMeX+xvRpKc84Wbp7AY93mNZ66OQvNJ4LhRPp6fl8jaZ8a5QZtZj51sijOcOYhJKXVpKRa4XTVxtSnRXQZpoNEG31oEr3k9XrYUosL1wz5GN536TzlOfEA3o6iBbnyb3E4PB2g6JznFMzVPLK6+TCY5u9SqUb9vasEzXvfA3BNStijfua6FzTkEP7p2eCrlwtE/EgxKmZkNDsplgwG2teP4Mg0IMgmXKet92R0EuB6ID2aDzD+Qwad/hK0AWDJB3p7q7Gn70EmYN6Ey5U0Zc7gM77HvtIYHCn2kMaCYQswUp4wj87myPH28FC6xz8u2zxKBJOHNFVCGOdj+G3vybx2f8bKqyCLrJL2TqzyEK+rhcjCWb8MPkFAiMvFTpQWRQV0VnNAX6lvo3L7U5j8uKZNK6ZwMZEGq9mymEJUbXzUjeRDvxmWxZlcgBcn7+3dvXFblku0dfE6yyQr2p/lUm53Wbfj3/bWmQZNbfFj6s+LzxXTGrAhcjlSMBsspPUVlO1cj8T3634f0HNDB7epIE/YgasconjioQnvYvS39mymMPS1rE3mEvVISia/VQz5rnpllTxf298T5qhImwA3NeVq9QhK+Uqb0gkG30kr9gm4ge3WFayGRlbCoudrn8O4V3qfwjExDcow8tWhrAX62UubJQJ0hasCtcAMeMWVswcLgOdwQTgrsjHR0s+u+pwzuVFpjoQ5cZSc9swLxnmklPesnkl+wWKdscWz5X1ptKWUTI5lujBnQpjz0+uVbuWIl11ltTn2KM7yHv+Afukuzxg26Qfa/ZB8ykeVPtaK2F/7tV/z71/zNV9zmI/f/dqv/ZorYq38WVl+z+19JZMo3JLfiIUwEbJExMGtRWGEEsHTxBizVUhgzz8pABbMrGVZHdYcLLxgXS3oh2IRxsnaube/Cul6KGwLXDnDIbbuhTE+6h+A8z728XDFro4/ZvjFcGzPteFgSdjot8V9N89hZi5cCUp9ntBh4YaZ1ybCuxKGAiN3kfR+7PZnB3U8T30TYuEZo57BuA3Gt32RebODDHzncejP+E7eURgdj/T7BHaHo/MYYSzriFLPyg4A7u3Gh1Z60SaAdKWWw27WXqbM1D6OdXiTmnKWrZtdkFncbQWCPTMZgQGWtCnryKsFUZna8zLj2hQ/hmf1fIxbu0N3Zdww4b+MawcDkw80LzfDpXlxGrO9uh/Tv/dRKpSH+gRgeGZaSM0L4pn6YsP3e0ZsfptC2phKxgOPmdMKpfeDqTKFUTgs4PE0L9yu0A94VVNcCSoUuPRDum7RLE5bdVo37hm7U2MCW3Cd+Tvi7Do8xh/amuE+mFV1gQs5kxHAc/F7bYCGB1tL7B1pSsdi95MbyHsXCmxO1+Yh7njmT0t9DjuTT/XVS8qfccZMuf/J6LspmEwpDoI/eUWYp6jVLdr6oxUxDA/PBZpHmSkuN/E7fbLQHOZmr9Pv18x7LI8hP+O02O9N4WvWxqyYNtyVK5z25YPbYNiQ00H7St9ZKStAU8BK83ZXBeq14AY05SeG4vUiO15te7g3duvAbai4lIpbLfj8/hpAu9vHOnbTpph93jcXoi+l4lUnUM/75vf+mLC9deXq66cbtCtmgaZIRYevVkEp6s9KGUIxC80mYPs4TO9GnfGdurW0W0d3nNk9QD5X7H5iwRg0pp9EMwB1elIvADag7DrWJe2rgXYXgp14Jjb4OuI7jw5yWQg2HsI73BFUbZ1MiyDVQ/UrRvlhXj66v2o/PKO9Ynn4RAZlQZlqRhoZBSsPthwlpuM8KHbNoOzIs9aqTQL0GV+sC/jCu0yHch1On3o0nBM55F1KqUepycaI52VwqhTlfOFnVtRRWkZUWJVN/N6jaeLvue578t6yQq5g0J7WlizzSU1rkfegleLaZNMy6NGoTJBORcdXMfJKMtGBMUY2eAhwL4Y3eNhTnunuMPud9nI/q7CU7oH1vfwlV9qkQ1MtEuTH2IFIY1cHpYcp0yws8EZtLJWwxscYfS5p7nE5a2dzdjHsXfFspzODi3neZLForMTK1QA6w6fH+bwvo5kJH07XGQd5f0l9nuSuhGfvO/Gz0zkXYt7cZ+e1+RkS37ncY+mZr/WcJ9FRhs14+xS9515a8eH26WcweS6k/dZk/JWcwsqpIH9Ylj6OJk95hjTHzfBzUsjyQRFPmAy3GX5ZecKtXWkznWu9ZP0GhHQACt2Xm+eefabJb+On9C6gRRGum5rOzfzsCfMaMpwSjqbohhKfQ2WiBbJrQLsZMeZ55yy4AOgGjWw4Oa17X3+9bPc0DOwDGSFD4V73CrjB5VJWTHTPI0vReh0FBnyan2t8P6KlSczMdI3z89y3eVYwIuUVHTRyB+DnlKXdr6zA821DVcGbywUFig/kyWXFTRRFFbXvQa/lhg0VkBI8ZKsKrrq5t2sRxZt6wU0Lrj16kuVrn+36myKKJ7JMZgPbrSj22uRGtjFlGfEonK8rTDuiikWvw1DYjrzWNqBagVq6h23HbF9APNftOiD/4zElutLGvBWsaNGgKjpf0c+C3GhXAd1bXjfq3alNoXEGpnkZEdBBOaHZR2cRM3+lj9MuMqILdSX++0iOndLKQHBBb073poSvYUCvvh4Yl/mcNsuMLq9nQ2DH0bovgxeSUe9ijzMYpr30qzR9rBWxH8f05/7cn8N3fud3vqjMz/3cz+E7vuM7/Ldv/iChpiqkyDh0DBtNo2we+oYPbbzSNrmzFygr6yaikxnfihEitDbiOR0A9bQUlFlBZWV1XpRZyXCaEsMwhysyZk8Py01VMjxEoFaXVYMJZCYaqb3pgMDG0TemQeBEdWww0q3SEYkzH54sFaPpUHvMFXioN3/X73IF2pzw0Nb998ABb5ypi3ZQkA8aJI5LYGglw9ffWYhSwrkzcmwtr6Oe5e/snZaTUP7A/MZPwei77E3hJYCH6QXacyvkh61bx6lJ3l1BKCBm0g0PjLEVny++eaVxn6ybGI9WnwFOzPbE9Pc+siJ2YiSMNpiw29yohmIv4006Xgg2E1C8vHHGNK6ZqYKMUMdelYz6wthY/4jZF2hkXoQsm2ndmSLMDRrYqzGt9SDwp+es6OcDj+pzbCChU2wY8xpCHhXKP0CflYZCX/cOt48LbRKmDPV5TptHQb8fWjwvuuEAqnQFTM9vzHTwhO79l35vr4WJNcWNJVYC+6f6R7kRomtXLFdMQrLs4njSzdajIzSOTV4TNF7sWa4Z37T3+NzodMu8FfO69D1bALU5KyQ8d0B8/ti9n7fRF18ne2tDiQHmvcHHcUHUDBctPDWiMs36RcZJ+QByrRQa75bKUv6URrv1qTVbrkDZZeCpwpXuvMZ8/SP1a95m5ndM+/10AkTnxPGl19KmtopbGQPoytg67oaltXcpFe+VKz5fX+O5EyTLa/ludcNNNxRVvNpuKKL4xHbt74qfQ7PFNErF6/7sKoq9FlxKE8dve4FqU4Zu0oTivVsdN8/YcZesqriy1ZIJ4qU0GE0JHFhCUS/v1tF971EPG2d0QUfYKzOo2LtlTn+uu7a9n4wq6lP/8iz9gKDTPDPu8XneBOtqc8TGz1gqWt85RO80Z+l5jgjASbR5YWuxdd3y+rUdmuZ5KmttGG0YsAYkTwZgHiaf8+b1LBg8cqdR4cphw1tKU4QSm/ueIfWjAvWSDkRB9DLnz0J/gmV5VybjsPPo2ZBslWz8Xnwo+zFIH4WcOCVS1D183ycw7w/3sqf1t5orWdl/eCeVjLwrT+3M576NkvUUFyv05Gc6Prn93MdHojmtZMij756EQHpkjDR98vMHyrsBTI2/x3v6aV7rKxh4X45s+KJN0NxNL4+UsJaXDW2IHwuHdCc8jf++t1SIF7N6TUlj37O8mfn+IG9aHvIUjIga5dlYj+UjAEMhsRjvoFjRASfnmfBjvyfaP/i0CZ9Uz7Qfr8aVaQ7JJnoEj+ddPOc2FqCFMePisuBjmddO+UZ9GvpT6MwtZTlPgac5ae+gvqF06vwTzaEV3zIpuRgUoUy8bhRuWHqYFrxLkJ38apv+yXOZZXLEes72fRUFh6q1+vJZUKjyYI27rI7BzzEMQn1xPFvFgjnEKdU1ybyKOaqZZenrOJ4RtoGUKlSnxrMGOj9imMcZyOh7A3lMPJdrtwSv7XWCcbzJ+COStZwbjEemm6t+h/3EwtSm/mH8dnky0zJE+PjT6LTPiYp2JRAILy4r9gh6APTWBnjfC0SAay3Y6oatVlz6na4uC0JCZKStEwVTxl7RwhxXLeGu2Gvdpvtn+bvLi/157d+LKLTDWkrFtiEcRe97myRmpJsNdJkdsjztuV1pk5GK7km7AR7muL13GaifU/tC4ittcgpykbu3jMUjGMZrNp/7NTdmYBDGldfYncTHV4/kn8ppB+oBT9fM2/C5NmvP81nMqCANVgBoELnDPYeeMw98Fo2GHdjM9Sjk9nWVGrXnB3JgaDePV6aVCfZlO0w7jur7Kkgfa0Xs133d1/n3L37xi/j6r//6Zb4vfvGLyzL2nd+fleeyb5u+8Ru/Ed/4jd/4oerI/DgAV5xlZsoFEaENyxe9ldFO38iKMk/SA2bVX3elH9876db5q/wsnB9u1IORmoR5wVLgPQaQvitQ8l02R31jglJlEJ5ELHKoqsi0kMK8d+mIKIZDByaejErDTecQDE9yhEvui4zxXsJiRN0OG1fVnHggHPVrIuqsREh3AecD/CD0BCZ0MItLAS/BpIs80wGA/dE7X1OJEV0KohkenOEEY/6HebgYyMxA5u+hXnHlGHtFu+WiKVnYM8/b7nXw/BNqasHY2/eJkdY+l5Se03vvNi3Fo+nrVZaZaY59R2Og0/jYb7ujMI+x/ZAwDliPIzGAWVAOnpvWqTSvQohLomHNsEEJ3nQX7Mp7eJUW60A3NEt7qmPc36pUjgbDx0/ivM+WpnyfrOOIF22fg9KMhbytnIpGy0hrJ3tbcVc7fqQv0GDZ7+3TJ6817/NiPO0umgWcwWudKlPI4IllwDDvB/YprsxxetyV5O5ZbWDZYc6C1oUDSh5DG6a+iI0+SRcy69bvpe048zks1EfDl7137+n4jmERYPIcn9bZ3jY0vg84r1kuz/2U3ofTQ788ztYGQAc96a5Lolt7Lfjg1u702UpFwQZsNwoT1UIKX+uGW9lwKwXv11d4f38CAHzt9gyg4FZHmKoCbXcGdQJgeQG051qguqNCcKuzNqHIsEI2JSuAdh/QYqLWutoQ+x09vbxqa2tYR0/V9HoQBqA87a2M0Yl+iNbCIHeyUfu8szm5abOWlnao4IdBCg/trQUeltj3p80aVedXtCEEYZAP9gPejmAYWdF/L5TqJHoSPldoz/PRwgzT2sltSbAGH23PAndqB0BQYEmnQScKpaUAfJYUnV+U8R045L3DNRXOy/ZnB0ra6Rk/53cvBP3jnD4KOXFKqk3BnY1gM8+T08G8OypzFDY7whLLHimEPQx5huGED3qpMvYhZXQo0GBYtXPW7mRky+8In1n+ibDmSuNzpXKT8oLxlsd8wSsfGVEDID4r0ko7gDwzcJnWsyz6xXm5qiLTJqXGLzlwWNNmHND73I7QlqZxPGz/sTKS61RCaZjfiSeifUUhfid44EPo9+D3kmdNV9L6UYvtS6DfvMZtv17033lRhs/25Zw30/08Z1d4XrEjiP1beZyyPL3cu1dtHtC0zGNOfHleBylNY8r1n8ytXFcu57TE4FmtWcteQ9Egp0iYoMdwuMKO+76Yx1np6I0eJVbUTu+oLWCOlpXyuryoQxnrsk43CG7yUpoQB+te8tjaHDe56oHxXz6ncwM+AwkisfF/XJYMzO2dMPxMZ7IxxQFwpiwU0dHeIzxrfkRnKONsR+Hndgan0pplemk0aeEQ4HiiZyoY/P60N3Je9Q+1/nL/VEZI4mxcnenbImnqW3zZ2609WlYFsDcFWd0LdkEzhu1KUwtRfNOC0hWkRSpeq2CX4orYqoIdFhGpe7muwfNUel3o+VlRu6dQxiLDLYZ1gxZJKSczwOVISuYBq33CWp6W3+oWz7vSQY77ZrHUG5pTygCk/W5zUeb5Z3ksImS/Fqx2hbP2MxPPvqTnK+YGE63Milyb56utdJwTykFHD57JnfD2Z4kVt0mJO/XjkK51fD+gPA5JgaA74lc5ktJLqvZ1reG3tRfyZZop1M2DMdKDd1+J9LFWxP7G3/gb/fsv/uIvHipif/EXfxEA8PVf//UelpjL//Iv/zLef//9w3tirTy395VMFmZ42vwVkB76R4sExpcXhIc+Mmq/DwtmX4xbmqECLK2WMcoEK3ZntmTksQU0MaXEsRgzThthiN+/94fmGbiAY1b6IQhqoopy1bCAm9U/wSox/2i/l8mbBjAtarvPz6JGrA7Ps6IlCLj58KsXNus099DgTaMQLjN4J5blq51TdIypFoFu0g5XJb6bhIYVobeqe8hlw4XjnTe1BaMoOuY9b5T3lLAqrd922FvTvDaC3hTtcJyvlF4qA3emzFgxzaOv/XNl4Xi0AfBzwqMfjiRjiiw82DsLbe1eoBxapsOmF+qTYNxDK2PTVmqPlUYqaAfmvF5TH0XRwqh2Jt7DHFI2ny7MvFufMqOzYPCzDOaMmY4+uEdkxQgVLdwhzGFsaKxz4pCy3raHQZEAu1hWmwOAz9166eW6FyAw6JTB40qyDcN72rxA+6CEdWM4ske93fqkk7JxGoju1QYW+syLm+9G4b4ALQyaecgS/qZ5WYBx/2x6Z+0Dvg7lJs3DteNUDGae84Qjxq333R7L/J6F5rpFuDz/dDAE9+aVG7GDAjSlywIH9iwLxn3MfU15aEKKZGDeobfmBVwvQH1awMnzgJMpTqUpscqtC45b80rFTaE9dLPXacYOho+8HgtQLzpoxt7ptynkDQ7zjCVPbV9yt+H1b2MY8EFpovGGE8RxpS44jQrvuvLWptmeD0YoXa8b3pcnV8QCaAI11ENE3fZXAIA3ZcOTPOEL+yv86vN7KKJ4VW54QsX7+xOeu2W0ecJeyo5b3fDF2ytUFXzN5dmVs0UUb24XXPfNf9tnOFcQdSH5dut5XViGhxk2JaoJ1mbNXEoLp3zdNzw/XyCiuFyqC9e6nEy97aK4XPYWIqrfr2vtiShKD4OlRgstjNVTBTaB2rrRcf+x7uge9kCFokBQbZw7z1VrX0I6xtLudje+0HkJSOA1l/wB7XNOF0hx6u+S0c+859jC0bB3AYMG6SbtgKBi9vZcKChzG6tQriMPhZrtfffv7ImX9rcIA0jJ2udMpblg740OlLS4uOraYCjOt2LQkcQLmaGYR95Bes68N8k2erJ236WDZHOb9u+2dyrsmpsjvpSNdscVMv0ll1nsvfz8oZR4B78PnhWfumgD8Gg9QbHxKAzEQ0zrN9fF23xWWOblTWUPD7kyr2tlvU6iLdRWPlgT4NjDpMN2rGBYKL0dDnro9FIjztDXcVf2Z+WHwZvPEFYHeN6ZRE8HPPR9Y3qEyCscHbRGAJZlFfDoCyuFlOMrw0fTQTsNGyEeEcbO5R2BG8halSZnuHxhbRu/WODehK4gSGAYzxx4Lf7sz4X3OBpfr5PWe1BcMT6ZT7NHB+O3xHcBwv3yjHNTWnUZLrcZEu2drLzLsgO3G+TEVF+oY9qY+94r64PoDNNEQ6yafu1QmB814pJloMCfH7bJRALR4MteJ5kk07CJpMkYoyAzG958T+gvLM/iyp2QN4xn7xz3r3CwTox36awwAN076WcVPM/7ul5FFFsTYmvH9sE5C+PQcKtANBLJtMbPYBGRbSipcGPZtTd9p7mmgOz1FJFxdkMAGy64D+EM0tdjlxfpSiJlnPO6pjmgvT6XIdP+kOXp1Zko05CgAOMySnQrGG9jGMPTOnEvvsW4rc6YgEHn/Eym807i+QS4Faiqe5fe9oLrVvCkBVULnne4F+yl7Nik4I1UAFegNK/YHQW3WnDtV9gAwEWG7Gcp/76UiqqK53pxY1oz4l1NT9ML2lEvX0nTPi2f+rU0qv2e2S3mZeUuEKc1R1/STKR01BFoDtN9nytMyDHWS4cf6Hu/qF81pYoWcWyHhyiOvNqo3642zM9aPg3wKZdfpOWZRX++4oFCP73Q6NiKdzprX40OpHqOFK+5f1OevA/oOJMCEORR94xNfHDgGQU4NBJ+SVrQnMN0sDeanB+V+mcb6Zc+vcBu9KsvfeYzn/HvP/VTP3WYz9799t/+2z9U+d/xO37HW8H5JUm2WbG3JYBJ8DiZqKeepCvm7KVpRakTsw+0Bby0lmcYGZYPsWammOKr9wmOFlL3uNGjsEjT2KR6W1mMPjEzuigTDqXu0bOMJyt65kW8IJKh3/0g7Ii4czsTLGAmT/r8lfDevq8sjbKS9qz/BmPeBBnXYc4lOA/rNWaYcZBxccSdTMy+1SGn8zEIX3YnbBckln09godx4bRjAaumvJyFx2Y1ThLzTO+t7lSv9c/zUP1ZOFnCc+fAzRVBZeQduGeuf+5ze94QEoSUsu7bOFCY+8HPj5h/dOFiUj5ZecZtOVC+cV+OvGiDZoHy1ISLxJBBNDLNwADoaAxyW0fJ1oJ9mjI6zW0WspZK2MWfrV0WvF35dyCgLddOznLUNr13+Il2TPVNNHJFi3tW844l4Rz6gDWlLuZsbzsbU4R9CfFdKEuwW4czjQg0m8cujY/nASY8BsH7zp4anqW2JiUa6Le0L82bsykx7W7WqoLnfcMzhYmyv+d6wZt6CWGFb3Xz+33GnT4t/63f91Ng4Y5jB6TXUUTxtO142vYD9qLDuBf/u9027Hvpz7uS1Pqyt7/breetLZ+zFQpXqJrAXoNxRUOgbeGlVJTSFK/tb0fZKratPRcOW85jIui0eLxTwQi/bbTN7sozQ6KugGM6ONHSFZ7SnKcz1OXnaR1H1szG6/EamfIclD9obxLG7/Cg8UqGA7yftrnmc9ua07FOj2gh0yPqw7qx4+fGm6158bnOu3TvXRqJjSfP6CY/4gMYtnBn2Yz3vPw87IdzA8vDcGA5X+8peKf5q3O+yajhCBcHsPD9Vo+khyI2fZnTMFpm+mdfTgpqLP9Qyne6PqIcPWqe178c/IUCA85TOnGPj+bfK/AfmUPAvCb8U85hTDQQmUc0uURAY9S/Tzg5WXOLNTjJYaHN9B6J512sv4dSlo8YHpO9WGl9AH+QDcMaBsmDkWddyvWr8kdp9ZJwlPEVnt1bB3fm8BKus42YeYMVDDyXDtocf5T5Xj9MjuTri2jujv6Y12tsS80blmFY9I1lRJcdDuSxlpf2t8UcXspujIvYPM099TMIBFlLl2UzqoCDYVysxwwrn3Usz4isyGIODL43RQvjsZBYNvLs8OhrujVvRf5zXt7WMp+r0POJ1ng/aM+qizFLOFz2+V6iNoZ8KiFSl+52tUvLa96wlrKMZx6wlvdNffJoS+1ZCTIm0BS6/Mf1crSk0mU0e2ayZAwn3PECkAfsgjdbyKZHKXvIWlIeJ8/bGzcaULQ5N23029dKX+tk+MdzCzzP0lzk+cidVlZUGiKWnXrw/VGS4Xg0zbVH6P0D6e4cPmrnLdteG0AyQJjp0iodyZFnvOVHgK+vxvSx9oj99Kc/jd/8m38zfuEXfgE/8RM/sbxT5wtf+AJ+8id/EgDwe3/v7w3vfs/v+T34xCc+gffffx8/8RM/gd/1u37XVP7nf/7n8bM/+7PL8l+xtGJaaLPGQqASKOom4SAl3CWZCTR5QlpbrsQ05t4I4T5bOgSr+rwpkqKBFQ9Cdw2yd6jBCmB46uaFfo/RZ1zUToglPpu5eKqffys8DEL25gy8KN/ZRe+43uohKFsF+dAwH0a1kG/i5T3rivfnMcPYjObDDI2exlynAGaNLgSP3xGrQKnDVO/0rp7uVds2Uomez4HR6laMu7q1zeTpa3gpzdOE+5yFh6G4Iq+USWBL82Getig3he5tDtZLG9+yIx4ic8MdXkHvmz02K2PVvobSBE5wNK8zNA9BYjj9nswbUG5trdlaqttYtw4DEJWRJIio/Qamw9SIBJoXmUF2XCbhogs4ogBuGhlsey9wC05WXBqcZunpDJVZiPe7Zv0Q2EKtgpgfuqcX0kNBVsKJtzXeGfjhkF7U23T89TFxz9PuKTiY9r6uuzAypT73LRTt9tw9Fp/a4UC59fsSiw7rvdpg0Uuvnuaze4LQIYV1QG6AXoZg6wJuvuPVBGl7pwBuHeGvemO7uLesBq/Z/rx2GKxuqydZZQ+mrT83BaMOK2Cb36MMhSDOVuwkLJkiI9Nhpjsezqa7Sg+cwHXLon3tujdOX8wa2wtw0TNTmOaIBEJZ/LnNa+3rWTtcXZA1fDhc0j1kS6fTiIdxASe+SfXfHaf10gUoy5P2Mp+fAN1pDZ/73Acu2OY0rQ9aJwwbMPplazEoaftc5LFmD1vM1Y31yQ95HzTaklCFCuBWsN8KVJ9w2Wq7o7Vu+LXre9ik4pNPb3Aptd/tKrhpU85e+ruqgs/fXuNWiwvKdk/QrW54BlCk4r3LtQnV0sJMmZIXAJ62FsL4a5/eAAD+9/5JD1dcRHHbC27XrS2pWwlrQPr6VfZYSDxM3XVYLsu4B9bxqF0J2xeR3fdTRCGlWUg3S+k2ieye2lZWWrhktDr229a9Y2XAZPTAaMil7YUclqs+AZK9VUr3ujW6N/FYwzNFizj/mQ+g2CDGFag8EUjZ4ntj4nGnAx8B8SnRCM89YTP5833p4F7UxaNwGBj23tYZi/ZinhKBN5dcV8vL4T1Xyi7Dv0dqEfLaz8pZ3zvWbWa5hO+6zmHorb/ty6BfU9KD5+/SlKaztHuhyIwmJ6MnIK2/1dw6qXOiTZSOoi/FTPQ1Wejbp3tQ1EXes+qZTnR4Jvh6pvxuMoIQLOcnexfHF2k/PYEvy4gsxwQx5F5900YIl+/MKGK53nkt23ePLJWaCDRLAuy6QAPDZfKjP8Poq0q6Jzrjj5WxnSmeDvuBSSYxuDit7hN2+alvaQ6fUF8X/CnPDePrg8ePdp7Oz2IwohBZBBeup6B51gFDFlLK0ttxvjrtiaOTA26OZpLTKmpUqMNohPI6QhyfgzkSxsf4Pypv70Ja7EP5XMbHZkseltpkP8PTtG55TGH71kHfe0anDx2HE69qTDwAimnhYE5y9kS37VMHjDQXl8l4tLxeeHwcQPrs9J9liyDnZ+PcFW4yvBc7rLB2aH3bYrLofWiyUAhfKhplTEt83YnxjSaH7OM5y0QuVwPB4zPgkedmmoPhnKDjy89K7Jqorc+ZfP5kBMTasHYTnxfwB4LfFFVdVgTGfsco9X8a6wlp2ovojt5+Lls3DbgL+GEan36HuWz503xb7llWtoyoXh4pyvBksgDVsVR+cXO57fxMaC3VjmfBuNqqwqNJ6a000bEW7HUoUSHNExZoMhKA5vVaga1U7FLwpl7whf2VX12zibY8WnDVgpuWpcGuK2MTYTADXgC47htUFJcur91qce9dwVDk1kQ0RoSj8RvApLCdSBIpYytFSlIdEVdE+hUzRges3tLmjNpZk8mxWpqHa6/XrlkTBUo/Lys9imUzPO5HZP1Km7xXHhrG+V486HZ8DudTeJ8PiTwtnRYQjWl0rGelvclJgEUXpcrteb7uYd7bxMuD+KrUvf7ZYXKCMZ45v78TLpJOyb1gCZcZryt+arxclwnXZLp3cJcFzvZboXxHe581LfAx+mpJD9p0fnUmEcGf+BN/AgDwL//lv8R/+2//bcrz9//+38fnP/95bNuGP/7H/3h497Vf+7X4I3/kjwAA/sE/+Af4lV/5lan8D/zADwBo98N+x3d8x0fbgS9zesQyNyy4gwl9yORxHUcL8C3SrOTFxAjNhbgAJmv9twPkzrO88a/6foCPtSJ1nflDu/cnOMJ4WmipO+3eg4GZoJm5GUrYlXX0ChcrpurePIyZ6TNvYHfaXrXJTGCsAAj3ebAws4J7VU/+XuGChDMSxKgHgZrgWwq5ifkNDD8zwg9tZhFfLFiu8H2YErPgZU7K3mOyZ1gjl59+OpOd4fHyC1i9IsT3weuVfo+TEMS+reZDrjPAcHIIkMpqF2AeTmdZjclmC+UE56FwR0z3adsqEFJe+mGSSg/RlJSdJ/M1zGX64+dBmMvjcA9W/y4wJezkdZvX5wGsEQehWurQ6Jfk+gkWye1aZfxVxyHdJOQfEVam548uviWRXf8dNrvKf1An0+czHmYJYp9nAFxwVLR7f/baPEh3slS21LxcS7CAft43L2PW0TWdaF6k4lJ2FKl092yrgy2c7Xm4f6h/193+Svx+K/Sc3lko4QrUDht0eMDan6PV4OnhhaUM62kLT9Xkmibsb/39Ji10ciuHOL/s8Mz3EIUdtISDwp5XVzT1kX0Fib8I9H61d9F3+pz2y1Tf2ZJZ0cl5XR/zQGfL7IgHm+7lIVjM6/VelJcjwfms/YlPf2kbXs9JkQPe8Ky+d+l+epSc53QYzeiFYxHkM9//1kBx3uCpbcWPTjWO5tujsmGgA+cd/Ki9YO/KOnfez0qgD3EKdcJrhXl0IEe+ODEtZGMM5q3p2XE9WYA8+P42ifmOB5Ic5V/yNjL4tSxunCzcpXzK7dyD9QVy2NvSj9DW0asMa+AnDsrm56fzIpV5kLd4OHUGgXG1xNcL2o7nTOtNcZYjNWZfyW9HMB0llvkewRnzgfZ5VC7Jk8od4nKHsrCQTInZA7YOWWmS1UDf78gpOvXpuD/Mv37odaNDNh5nHLH9wJs+wq/OTRBxH/3wT/rTg+9Gp3NUMjcWL7FcwMvZ/PPxJdiw+P2S9Mg+mueItzmiKJmcBmCS++we2KtadKWCXcXDEu/9mf0dpeEVu1DSyvCEBbD0eFUgyLJBaerPML07Q9XplTZAlx/7J/9tQ76EyYFW1cpzvnvED6eCKCf6XEoe1UCSHc/ktrP0knWb8uZ1/zANWAnoL0in55gfJn1I3tTT0f7z0pTLfBh68GVKXzUesb/8y7+MfR/mtbV72X3xi1/E//7f/9ufv/fee+Ge17/4F/8i/vE//sf43Oc+hz/4B/8gfvRHfxTf+q3fiufnZ/zIj/wI/sbf+BsAgD/9p/80Pv3pT0/tfv/3fz/+zb/5N/ilX/ol/OE//IfxIz/yI/htv+234Qtf+AL+7t/9u/iH//AfAgD++l//6/jUpz71Jen7WyfBsMDP9HrB4LtlJVkarJKKDO9UqsusgINHUR3vHKwcfxwDzuaxkNrbRh6P5c9hH0ixO/IiCrsC8B2qEAxrOIwyXnancouwBcECg/oyLpSXwXBgbNBMZFfYjeHjMO6PNacW7Tjqh1grbwb2DhXV6M2ZGAS33FaQAkMDU6kCiNV5JDxbn608xnyqW5x8KnDPZedTzHqZPWF7vezRClLSVsh0nwXjznGQDz14w6VPm7PMTOsmy41ZjVGk9uo2+mEKUgsXPDmWPwlq1+a4FR/6PnrRYfls+6qClE62BpoX4/ZGxrjWPme0ewlaXh1ho2UHVFsb7Q5enCa3dO39FuWOHKfpULwLm9L7wiGFzCqtshenodtoSao3wKCjLbHf6PjnbEXb3GNmufZGDFZbq+alysIe3UsRFbWjnBh5U4OVgLf+q80ZBdhbGqPg7D05PsuViIj0uaA6mEugeRAyfIwrw5dbA47OyE1imBcb79JhTbAACHdiB0+7opDLML9tc1nXdw+JApeOtJsg3DFUgWZG2eCT2nFga8zWGx3WzkrI+D0oGunTwx/1eQiMvUKkzVvZ0bwLzJpd0Oa0oEUPEPH7UW3NDRpLg8FW+gmOnBotMTrZ9+qtwSC30cYkpGpeB8NDRKjPnHShTLcyZZcZ5kR/fZ3YHaRKFdgSYiv7Ej0OfP+l/crpCXkxiQLoHsDsMTwp2Q1O83Rn7+JMSwqv81am3Ppe8NT3ytI8Rq/XC35ZP4FXlxu+7vUzqgo+2J9QqpIitdX1vG943j8BVcFz3YIV8evthq+5PPf7Y1uZ193N+/39CTct+GB/wpv9gotUvN5uuNWC//3+J7Gr4ItvXrV7hK4b9tvWPHavpeH/FhkOo01tDfR92BSgl9o8T6/j4qPahWFcGsLt7lkRAKXi6WnHq8sehPanbe/30Y4+8ncAPUSxALi1CA0mzANBKYwq0OfS6FKfekLzYMXz8cE/n+m1+aW0uazzhTlDbS0PMC2vCNiiObRhdRK/xoqDHBnG9wjLRzCG317ggGhonNoqAmxtDyw3ajPTnkwrocGTxOvKzdndrcy3Ej+dLZLZ6A6ge3sJ/9N9TGnsOPneSzh6lx5MIs7vBsXZEb5XuE3P7N4nt5ynDKeeolYX8whnoC/m1WQIUCOtsGcdMPBds1NSLJ9PkVuqzvk2Xa6VDJvlNfizDDmVyXQqvByffB+2e6x3eHMRkzNXh4OgebEsz3eAGd8x5elf7D7nI3lS43y4a3xRBCYbuiy5GR4x4VE0lg9yG9eLxBtlGs3l6X2Yf0aD2WNwNWZ9jvH+POWTlF/XfXPUydjjnce2TdT2mM5HmUzJITwn71jbC/lTRruOr073jZYs11Sehnm/I4UMK3yW9L/DJsB8Di30p/Sd0Ok8Be2pTAdZtmTZ3OGxbDUvEsyZ0Poy400jQAnAuI/z3h+qnTyRwxkCxtgGGVBjX1d8f26rwYyu9BjtigrMeG5V37J/i/XADlzzywE/oOQNzwt43a70iEzl1r/rqGacr0i43mk+LzgZZprH7uXKNGhB0xsN0RG5iA2Hen/D+PgZqMx0OPFp3jYAvRh/KmPtW3Qqq8rw1hfAJB/ZK+6z7TJ9LoT2DQybhwYe7+2FcND7xwtEqbFMu61uaOdpKR97wh6mRFPBdXI7Nq5pDzDaYQSo3fkd4bP+3m4b3pfm7WpeqZdSUaR5tQLALoI3dcMmii+geb9+sD8FZaqHJoZMStZbH4CLVBQoapexgIt7uz6VvUUmkhKMhu1bu6qmqX9MSRuvpRF/x6nJdMPbVUheHHiQ8OlKYFFcNm6L8CwtX63SAnWl923uVqgJ9T1qmp/feZuKqs2TtxnyN1hlbyXVntPemOlI2NsXdIt55olGBD2IFbD5ezxJJx7Q25f5Wf8utNCO+CeO0DQlaasatj/scxbPmj1jQXv+Ae2X2nQTzrvLKG/86nQ2rTPuV0aPoR4s8tn+cbCPf7WlrxpF7Ld8y7fg53/+56fnP/iDP4gf/MEf9N/f9V3fhX/2z/6Z//6Gb/gG/NiP/Rh+3+/7ffiZn/kZfNu3fRu+7uu+Dh988AGu1yuAFlL47/29v7ds95u+6Zvwr/7Vv8J3fud34id/8ifx6U9/Gt/wDd+Az3/+864Y/u7v/m78pb/0lz7C3n7ESdICWSkR7fsJ05UFXa+LfnNIplAmM8+JiDqcSHBy3Ueu7LJYsIjPAlGQBZwvTCrSD48HrBbuNd/HNQoN/gZIjD4OCAGPSX6fcRrgIwYytXUo1ComJSyHMDgThk9ThrsLzQyrjwuN8RCi02ZhjGxBZJZXTTOzx+3RJ/LvnJcYZ2PYOf+kkKN2Q4gG2uS1ALLJ0hvRlGnMEDgD6kKxMdISjAaA0W5gJGjTB+j5ZdGHRfooNquh3JJxYOoNwAUXPzywuZ/XPD0LAillEyzGvq+XUIbzrOZ4EpjHPAg/JgD8kfijdSLaFZQHvPATjMCgZ3ZPos+JEpX4Lkyt4LRnSRCZBfemYGiHIhrDB68WQTiZgBvtaEVXoPTB70qWQZgICBv/ad7K8ITtobetPVZwc5nlXoP53UQXen5XgPS1pxi4VSiFJO7V+1qnNesh4SIAK/oUYLO2DU0Wnk4G3p3lTnNkqov5UOsrzT0+7JrWmE1HxukBLeB1En9EOLhNP+jlfKtuGD1Gj+hlNK73JexTi/nj7dq7M36HHqvN04TDWgXX6xYE0mvdWkjhy3hWRJsHbBegr/sW3pmBQ5ERfsrDQkHcq3avBZet4iIVNxR8cLu0MMQ9pJQrYW+lKWBV/LCpHXZQePW+p6htxwXdSIXWZ0ETmFVRNxNzR788JHGpjWb3cMvm+ap6bLtVRKGi2DZAejwvC3lcdWv45v3X1mIYHAUbZwHo/OI8jy2794D3/wWMWRmlvb8vYoMO6rZ0KrQ7oC9LjiNt+4jmiU144nDIzLdO4YSPEvcv7SMT3zrtrXO5Q748t3EHrx+CtX+XbK4n+phJOWBrbU6TIexHBdriwOcs30eS8p634EO93UX409N0xLyusmb8H8H1SPI9eKEkPqlrKfMwLBkuPjC073UcDK7mVK6Lw9AdwaNC9YjxAjKP0al2h/OlzztpLR/mxbJArcZ3mU9bluGyD8OnHT6Z2hyKpgW8/s7qgeOX92Xuypk8Dc5zxq863JZH42+C8cVJ1qjjZ0dnNLkO+x73vnWhicfO2Rf0hAuHs7E74x7Of2S0fdQXYB6/NRzWAMHFEZ0WcB8DmepcEINTfmtFC+8lkyspKpkAFP54/GU54pTmdXi8C3nd8lq5uyfMs/Ohs7d7/CONs7PI/Jfgv9sc8Zn2G+GPX4z8E6103ER+XzoTEo8TRihkLxPkf2YmMYUj7/q+c9r0KF3lPcw6xPSbEdnnndbhFXurBZtUv6LGFJa1W4vd0K+Z0aEsvdVtehYVtE1WHHfDNiUvhxhmL9hVl0zhWs2IWqxzvQ27kgYzHksZitpaBaWHE568bae10zxh7UqbrIhtdStEBHUv/YhFvO5mECLjSpsizcjLrk8gJ6vged27pj2/RWfqU2/mN/uQLuUUG27mQ4CwRqb0NvsXpqV1ULeGvFO7j/BFeZ9+mM5iWkMrmeA0VPBL2+NyLyn7MUhfNYrYD5O+9Vu/FT/90z+NH/iBH8CP/diP4b//9/+Or/3ar8VnPvMZfNd3fRf+5J/8kyjl2C3sD/yBP4D//J//M37gB34A//E//kf80i/9Ej71qU/hW77lW/Bn/syf8fDFXzWJGe0+z5f3SwEzM6Mk+NjmvLjHNR56peaZaFG94b1lSd6Tnr/MdbNFRr4/Z7rvjeAch82DmZXuERhimJ9ZfHC+gxXudw4RITg6jAgH8HLwjpi2I9iO7iIyXs48T/lepPY+9sG8JgPMJ4T8TIF8N6xV1cGQmZJ9S9bM3HeaGwp1r7AVXK40YeatxvfMdNqzZuWEwTexggKRgQz1EsG3e+K8LzLqsLt53INOu5dVkeadKmh3PEq/BxTw8RegMRUq7tkmV0CqoFxHG+YBaR6C5Qq30DfrL7+ztrR6Lh+0tutFxj0v/b5V8061fpTu3YuSvJQxcFltvQnc69GV0JmM9D77HZna7zxFYl6YjjCfLfRpXqW27hLNacB1PB3RCh14GZ7to02VWC7/NjwEBf+qD4qhUMwSm72z9Zs9NxB/21wasMi4z9mUsPnQhOfsPveP+5zxA1LihE4b/rm/3ZKOvesABCE4EpJeb0W3WpYRcqYrXqW/Y6WrGx3shJc0NoGmwtY8ghDOls5h7crAM27AtjdLy7rp4q7dDju1PfonYZw9Pz+TdR98SqV+hBMZ6hvPf/doL3HYWOgNBiF9XVqf5Zq6URSsCA7AMuJoLVobQvgJSlgrkua148dol8Lvirb+uRf9Ys4urTJpjgYc21poEnCf0xpg4Tq0iodSUhV88foUhNyv0YLn0jxfK5ry9YNbY6m30gIVP227h4iqWnCrwLMMtruq4Hm/eFjjp21HheD92xOe64a9C/XX64a6l6GEvQrkWsZa8i6nuelzxTaa4gpbx9lWgdIVw2L3wWqQ26771ki+aA9DvAfhH4CH4yreaPWhqUWx72XcQ9snjXv1os8fvtaCx47WjHnLhqgpm9C9yvM88L0IGHs1aA4u+C9/Zw/87iDx3+PACM7fSIfDYUh7hC+pEuv1/i32NqkUbYL7pjjkV3mP9nx9rgQr5eTtFRLDzutqo+ew3wd39OgoP8kpef+077XnNWO9VfcUeEjp8i6NZOuLeQog0kp+3OWwI/4EwCzHJdkt01Xw+k1pdQdnKNthzfXlPKFua/Oe3LLi66y+1aEc/3x0Hp7gPOxVqzW0SMPQQ6Y8LnvzYeOqntU4pTr895HynfPZIanXcVz/KI/1HCzSeQvpspUEGTzytP2dyrAOWoy5yymLI6FDRZZVU2l+I8F8RKc6HbO8gsgHeb194rlMIAOtAkTjyUrhSAFIQARc/mB+2jzHyo4ezQWD5/bxktAnwWgze8IF+fje9JcxV7PCKrOWAd/36tX41e7QhcANK0dH+nNuw7bBVTshokojmL5302bexpQUqbxRh/mJyds24pb3TmmnswLn3S2iDDD3S2qfPWYUa+Q3weGw5ER0tMkSPPFyeQ2/c3lPTEctvGg3sg157X7T1RlYbsvx1h9WIxxovI2iRVap7dOihw1Zsq+P5EW55LnsWWKPGPdidEl0dNe2WPVp03+3BW2RoLx+HdGxWOb1fInm8hQJ6yTTIUH3wO2pxtfoNBNER3zdr9ZfJ5wT7aJzxKVRYK//ngJYCMHhvIPHRmNeP/tKe4eLH7nNA3rl5wBA4m2o67Z+V3O/t1drwb4rnm8bni8jKtKltEo5XHAlZaj9/uL+qn3vjVxkb2WpH+9tUWBvRryNIX8qLG82eWxXwV4Ft33D7bbhdm0hkXUfXq2hO8xL+HzQTlNLvCNWB6Ltucl4zVu2+l2z9pvpUr6CZ5cCfdqbse7elNFa+xn41j1i+1knID0aSaP10L4WtzaY1fc/9CiBo4++d/EYWn/znMnzB0TiU97pmAQ45JnC0UpyRhrz/2zBSAeP5FAQXJyWXqU2r2fnuiwPL3lnWzMnZ5jM57ez19TOCjfS2hv0hSIpcdsZlhV8o4p10unLVyR91ShiV/e7viT9+l//6/FDP/RD+KEf+qG3Kv9bf+tvxWc/+9kPBcOXNfnG1P1lFIH/iwqGOYxTqIc310yIwuYWBWxfgByWrLc3Dr3G4YwQzM3jtLdNIX5GY+v+usBAfePEytjD8nJCWLgf5Wj1xvYisza8lwI+hPs/4PTDcOqXpsNIvkQ7gEtjNQ61Ey6FCK0zfoNxWvcpls+KhAHADJOV16qQQmGjkvBsXl8c6mswrIlZTHC2fI2pnfoifdxovgXFkzPHA/BwmMpdysxa54eqaJwbCnQ+C9UssWwzM0a7tHKtgi57bBjrpAtS5gW4PUsQFqT2UMSWKlq4jdvI4wK2UKhkL6OoTw3fpQJ1E8iWNqjeRr1ghKg9SO6d1mFuTDZPFvhYBwcmUgyGPEdzrOcJAoXlS79d0Fox2UhMEgkf3saq3kU9E2xczuEwZq+HcaLy7jW9oSuvJJRnQcEPjfyHuDDJBxdBEcewUF5npg+ZEltTEmBoHu461qKiKyh1hEYVxLDGOYSXC879ez8oGuGu0A6MKsKfwcLKWAitG8Mr/xkd6XOmMG4dF6m8/aaQm06rQO8xYDF6FuYFjVvIm95blcrw03MPc0cP87iNQyGjSwiHi0ERyjSwv9NNgZugkCIM3t+4zxqdLaZkDRVhrFFl/CzuMmY6jUY32ZCElbUDTqyVpQSm8T9H+FopsJpgOeZKYNxNqdj7XavgzXWwyyZMv6aw/G/2De8/N2Xte6+u2ERxKRWbtDt8at8In3f4PUEmLJsyc5OKXQve7Bfc7B5YoClh+12v6H9y5bWxCOnFSmY+gJJumLNpV34abdBxFywJyKrAvheUothKuwfWPHoND7daLJI30A8BBmoqNlg4qw6rodsMMoBwf1TgAXjMmZ8wktTniNjeTuMdFB2sQGWeI/E7geewvLR3ZL538MNdeOxzinmtnFj4HleG9Gcp1FQQsJeVpd8CWEQXF2L9EK5nJgMG3TrfcOSNGNZR5697GxxGSjcMfn8Bo3RcBn4sp7RmW6QGifl5bMwo6QFe/V26k3jeA4Our3iyg7m4HHvmG16SVu0uYFh6faY8Ln+swKsx33RIR/W0AvTY9o0TOJfRk3h/OoBrKrKgaUPuPEeVZZq6xbAlOI6UsGxscUiT8lU3Cxq1BDqt48DjkhLWoylRHhWi54vyDq8qjhS0OWlqy6tLytipb5mEepi+znMw/e0wa1fG+vVNQkOy4jF7VzLNtDxmsMufgZeu6Znhy+DhdZtw7WXCXplwkPAYZX/aB5hPpHyhPw8mw5vz+DZnZbyzdrQ/P5rLroDt3zl8v/MdQnVlJjTNvelsTWlNc7QXRQhjPNaoTnyed9r5F3FGSHFsxLSUd9P4hbIKTItrNThZbrDUr7/QXAdsbIwhp7KiEw4dDodXGo0xuVjhxommjPNzASDKGIo1HkB5+F0yvlekdcx7zIK+icKNKfy8jmHmdcRyLxub3tsPaa7ZGhbjSbNCl+kIbF5r6PJy/dlQlfg+rwE/z+O1zv1P5yJez2rt5zVK9QQHGc7LHQHBsOib0bqwBQqNWS6L0b4CblygFc0rVpsBraBFUFIVvAoHeE1mummLrvSqX0XzXLfo8VoUlQaqQPHUB7ISQK64JYWvK2JrM4A1xW+tBXWXZtCbSBbjdnQULifudqdrp42lAlVkiqCrKti2Jk+2390jNsmWW4mKaZFGCWotuGqP9lS0R6xCoyE2qXp0uBYyG+5E0s6GxhmtX3Ej4mdgOR3ykHo8P3mNLddlmEzcFuGZcNy+R0Queb5FGvvnuD7nVPnIfUBb/0dhfvVA/jrlu60e4q2lIpzb5fp874es8fmSpGNsVvzyi2WRL3H6qlHEvkuPp6F0G8+yUDIzwvGAZB13GyEMY9h8OiHjd9PGTm1EQYOEC2AQG03lEsxBqXpCVCbr7AWjGvqbGaTkVbOy6sqhn5UZ4tVGltKZEocVA5pwY+0FuDJxWVUdPI90CdPE8JBS9CykVSDSiTtxuMyS2eZQwmGAYRr3yAxhNaQCR9oQGjVsZCF0tRkDhDri/bBh07CvaR0EnHUGOvd9EmJ7PX4ICXpPVoouOHBYHR312MbvwjOvQ8vHfbE6GV7qg8NE3i2rMLqhjGXN93IcMM/+O4xFrG8pWGL0z9un+vTSfzMurNJkuR3aMuvJslZQTRONGDfDzZFCLLTHhw322pQHNEYt3CeVnxhgm+s6PhHzGAxhOKyfDO9CCPZ5hua5DbfC5Tt+deQNe4Lh+4CrMY9SXysdIUSvZRdgh9+BKgZ7h2GE6p6rF527w/BlZct0sJDmRaYFLeTrYGrZIyAc1i7WwXRgtYBzOphZ9C/Us2KurR+2lhMO/KDIFN511IV+WOHestw/pmEYbWT6x5/mgeD3R/LdyMs9GfOcT3gGMDyhJeJjKUQukrezwN28bvq+tfc7/Irdi1OxlTFx3fqXACiieP10QxHFU2nK1+u+4SYFqjuetr2HnGpst1lL39JJvXnW3vaCD56fsO8Ft+ete8K2u1TlJijPkVeY+RH3j6VhkDYPjJ7s7X5Wi6yxSw8fVbT3e2BHZIQk5mdF1MMqL/EvSlbRgIaJ1AEnAxo3TsHBfA+VI8wl5zVXoCggqjMJ7PMuHGI7LrtRIZWb+d7+nPkBxDob/Wj0JBZe/574eMp2l+9UQJDuslysEztkGve9xvk0Fxjzx/nATOcWbQX+/GBccjuAjYssYW/5ZC3Yv0svS3LwnVOecwd0/dToN5c9qWcJC/NSR5GCsoX9A/uD12k824G37jK//0jwUR18UDwdalnZR+A74lNXfaS9+1BhODWQ2yMjaucbdPCMumAp2eOdlaqZz9E4bry3R55Z+piQErYc9Ef4L71c4fhw3yQ4DnDG9/syDo74kXx2EnhI5qsVTXFi26EQ6nSsLe+OX6kwvF7NoLH0uzKDt11X7Hj0Ix5TAB4drSuClvJX5sMCQG+ZrJNWTzZwyEamwHr8DVYWHmUBns7FfRxpPw8KKhpcVtKGNmRxX1/ioQOsGS56mOVTUwZb6FbPy2CYpxjNy0yOB6+U2j2iI1al8QtV4hxg5YY3yo3RO6tT4nu7f/RwwfkCK7HPfZGICnBreCnmEctK2CxHnszb1VndmVKDDa5ZTpFumOoTt8v7bQ2OO05XMuKRzGvzlteCnSM0HnMU0oJ4TsNrdjVMvWKbZ8u+56hLVm9Yl2NyHcncChpSW3c61to4O9SGq0wfNI7TJEsmOpHpVcZveL0aa8vPcCi6MygPRvsww9166R6tBX4P7EUqLmUP98Debq/alTbds1XNAJhkzoKhtASAXZsn7K2HQWaFphnyvuly5JvrZVxt81yGAf0jmxcAXGp7Xfs8L9qcSzZ0WU3HuZbA746162kMNZcemtj7JOPO2Pa7KWtRKrZNUIpi3wUQQS3NOxbVzqpaAUWLpMTkxc/geG+17tqQytiXm1y4vuaF5yrS97BnHNF9LyiApshGuR4+wyal6sPpTmSWXFc4F84Gxsv6GeaBq1NZ84AG3OWDV/t9GIeDvp5N5yMa8RVO7xSxH9M0hfjKjHF/5oLfisfJPFJpnhIcqsYPcLPiJS8on/xdWKhowpPdUbk4pGHv1JVna2NQtIdKTeGxfN8bxNOJ6kqIXi06anJlMe0C9KLMOORfb173iQTtGsDsfesMgzaPQ1OoCvrl7CPfxLSpPR8MUTg0SzAbsRcd494YtVkRLrV7IRQaa2M+irgC1kPK8fgyQxSQlX7avWZs9ZzCH/C4+EbZd9msOAlWhYDDYSG6VQbTHup0pR0LHSODeXKpAPUJPn+4nAs9QBOQAeg2wrSYtfIYJ6oDI4+33a2YQzhxbYI1DAUKlNsYRxUTTCKzaLCHcE68GQuGMoV4NvOAdTz3PCa4hgPtPnfr1qsxOnJCi8I4KLqnlDb83Xp9na5s7lHX+ti8jI12SKhQ9uZlbB52APWX1tBKuWf0cQk6CX1+WAT1eelyieGxEi7qeG5j4nDZ3CPraB8jnoeGU6PVVrdbB44+uXUnzTn09SYwYVJGfZt1oNft98HKgN3Wok+I/ntTlKfalFq3Hq7GhGTD9VWGwBws9ttYZ4GL5+EYgDQe9r7GZ45nppeGxz4mPta2NndxnNenjqe0Zr3vMphoU/SXjg9BbNPnk7WV3+WJZnQB9F4R1qPnM+t68iLn/c3D9dhcS2FGHf9IHq3S12Hve1bCFojTJwDAE/xAOhx20p7FSlK+34UPJ8zrXy9wfoJhCmmx7Xo/F/mDwQHQjAJUoFtpfX/auxdoxWUb1saWdkLQJor3Xr/xPFUFH9wu2GuBXlq+mzbh+AhkAfDmdsH7XQH7/MEFuhfoB1tbK1dBuTU6ZmHrwz6n0uhfP4QpezygcWhFmnOHCrArdFNUm+uv9iZov44esps0j1hWQj/1g4U3APYq/Xr4IViP5tSF80oh9tDDSLkBEvp8VN/O5zEmZIXoE+E57+uNfpUT7yyltRHGxtZSFcitz32hepw/iSGJTekaFLoFY90AOPOW9XVOHrJjzRjfMhBj3qYGc+ABDR4M+EZjgOz9ugXbKzKvz9m3QT/s96CJo1Dgi/MEz8+Q8Oa8yGLgM53kk7136fEk6fMsaw5te6fMZExq40kFDxWmtrTMoCLNca4/hIc9UJ5OytKjZCDnMG0fNhm+pNWd5cyVnuKRFM5O0z466psrDEYjGc7Vc4x9mMOtLw8jcyJPf1Zw5TU84cDHFy5nNp5dxrqXY3w9MuaTUqbXN/E7pDif+FCWm/h96te03dg+Y23Z/t1IPaQ0xYNFUNICP+tXHqexmY8xsqgyt/5HCp7S5Y1iRo9dJnR4qA916xtwSWuL+hbQkQ3lFinI0Ef7gMZ8PkSGB+PrBZHvIdiGcJH+uL00h63xSX6luTHyYZLJ/JPnFT/DjLMAl4GtAwdT1J8FnBPNY57e5m0yMmUvYV5P3md0x98En8nU6pOE+04EiWVA9uxNfYjjpPCrapQA4DxWlMK5os8H6VfbxCtuMJSwO6bx5nF+RI5YJcZtgbjcx7LXkBUHjlzmZRmXz4DMgOKoXYaP6I4pZCMx8mbtydg3enmWOducT4pdGXXY9U4WtSkoovyQiBoVndb1Uk5LcHpeSQPE+91i3wt03esYv2VVztaEe0+m+vLvDkO7FqYbx9OA73vBG20eqU/bHu52fb3dQjSkvbYISJy2bsjL98ReyhByKgTP9dLCEuvm+S6l4rpv+PzzK+y14IOugL0+X1B3addIPbfJKTebEBJw0PpIHS4KBbk/S5cxtzZRPbolopFuNl7eyvpKG88v2nSrpUJUIJeG0lKaR2/RFhmqFulO8ALsimCsaftT4hOM1nnX8rzt4xcNEMb5tu/vmbZbm/Qz7C3THtM2+UOeydvu2fNcXCVjHB5Mdq6f2w8y4qPVrfago6zZyc8B6vWsIjLZGCLqGlaRP8Pvl6QX4O5Lld4pYj+GiQ9ozjM2wrIM1Ut5mOHKi2qpjFzVsUjmOToeHOedqkwC8ThkihbXSwvjBRwBhtxW9sBZKPseObDg/h1ahkd+7K3SEXFetTd5AvsGQbhdbC4TP/lL6wABAABJREFUMTwEZpEfxNw/0MdDgVoW70/ySs5LQpRQvofgyQJIgEcC4RfQOskbg/3suLdD3exFGDZujc+z0sI2yvG7Pbu3FiZmeAGnP5M1rpjxDsofwoV/t/1ckXX/DouApiLXlzdrat/Kr+DOCrhQCDg9CJvrI8vMg35MB8NJ2Lh3MCGJtjrNWYRB8nq53fws404PpoQLODmvjHXLefr7dlDEC0tnJMoAUGu3YmTYcPB9RS7p+UNMaSpzmtI6A+CKag5d5eHjlRnyBIgTh7nO8SBmncZGMB8i5jrSupjWs6VkuZzX2SqUU4RjgcADnPq8J3zZ8yH0JmllJagc0SL+meaKr5FpzY/894SeuTNKAy7u6WmK2BFGmO6FSsnCCl/3ds8rcAl39jBfxAKpquDNbcP1urU7Va9b81y+STckGeG7/eDGroZgYzfeH4AR/teyVA2h84E+bnZfF06UqfR3ka6k7iGLS1fWAmghsVTQnW3d+tkspsUVKZ2wOr3Ja4uB6OCZopPWlFgf+EArlyf8hEdHeXO5UT3R+gOilC2aH52DnAKva1Ny3Z4bPSx4dg4hPMGSeSZFVILRkDxi5Hj3Ls6cBAjyzKO0+4XNvEtAuHrA0gEeT+9rtaLp3aNyw1JxmvaHlRL2EA4yXDxqe2VkEdpevHv0kGlVx710tCc9opx9sex4wK4s213xHPR95EsZs5HHKh3R3ZCHwgr6voCZx17VfYfWt31Cgl6Eywru4KbDdIr/xNe1fTiewzgvq4le0+9JpqydPweV9Qhk4mXNACtEP1EEr0BXwvIzHfg1A6ZW/TBqmuR6z9vBfMG8fJSfd7yc8fXGtysankm2uTsrjzLwHCEt1iNnG9OZxbRH9lcna+2QZ2V+ccXb3usw8+q8tjiLPoC33N4j+wrzd9MBAn11XpCeq/Srbag+MsK2626GPDn4wKNoHUEOWcEb5tW8rv2ZwkOLmyH4VIfx4EmGYVycjuUKRp4vlsXWAKeE6uWZAv12ZW6e5yt5bPFgLJfFLOL5ciaY3aGx1pwoYsjnR9IJTx6mJY290U0/2zmqrxPnHDWp7pvLTOE5JChcc2p3wBaUfvdTleLP+FqbqoLnfcNNW3SiW7/OZt9bKOJ6K81rvN+lbF7ZS7xkhHQefURJg8thdvexyYvxDlkJoYiLjJm5SQ9D3PNoV1SrCCrGPbcmLwZ5NBzMdRCNtpzNmzSX/Wz4aP1zOaVPe3yEv0fmoe+hH4EgQ/JTgGlxzv+IfHakvzi8vuZFsI76H4o+Q3zOS9s5fPUW1X0p0ztF7McxCZrFW5WugIFPuuD90b9IlwyyhblZQyq/s0lPBGVyVZ829cWs7nncM4/hyQx4CIlIQlgnqs3av3sBbH0Rk2fddOjUrfNXhwIZB9lTiBe9W+db3oODgeDtyQy2YhLashWOe04QfgxeFQwrQdDYdrBivep999+JiWNviKawWoTpcwGY8jFsArdSNoIaCF5V4FJosz7fGHk8pgMIHlvHF2K/0t48wa7oHpmjX8K4IObN26TyCgwBdItwhZBPdiF8t0StTwQmWRtL74N06/hg5QvMB0p26F6HZ5gdtrIHoVTQIToGs8jhm229pPma7+VzzzTC8YoHcgVVtkhOSRR+96bDZjBVDMvcPrYledsEwdfKUn3NMr15coqiWfp5v3R4WhVrVMZdl7bW2fM3M/VMW/t8CiF3rbwDBPBZQHjeO64Q4KJtefcQYuHAyde8eGieJudqpDGIdKfsY2zskCTnOcKpCbl60WDJ3N4Rx2oCt9H/Pu+cJG79yy7tTsvehyAg27wN+0xDWpbPbI5Nh3A8PkEQimgPeLK2DvJPnvHdmxsKiJE1E2TMW05HPYOpHPeWiHlqXxA8RnlsfK4nD7/gOSGp3EqJL7Z+NfbX7maWBkdrs68ZPrygekIkgQPGNYZ/b5/7a5o7Zq2+2Lv8rMzIFsFr00yUaGTiRSa+x/Yno2WZLvFYZzqV+1eAcmmC4JsPnnB52rs17zhvftraHbCmXLXEnrBmkfyBNStwC+m8jZngfLtt2D+4NKH5TWnK1ytZ+tNf5Ft6V6qEfTJ7JKsA5Y1ArvB7yvUC7N07dYRTM5jV7/YxQfr15YZNmgL2IhX71u4/2krFJy5XVBW8f3vCTiGzlJTaNrFqaQprbNppeJnWoB+2TAaBPUSVzRca13Kj8V+lNNf4MDokm8oyeIi7iXk+ET8cYzp0pmwJCvQMDimInMcVwCyGmea4wFuVvIhafoEOes10oh/QN3rXx808IVddpWgdHrVGcS44h7lIoaSdgTsuGvY0fnxW5l2Kiediej4dvFLy+aapDEaZ04MaG16KRjLxuylvllvCuwxDftbnioVozLCdGiykukLZI/wQvfF6uR/ofB/Rm2W3DvaolXzEHo+HcpZQmZyP9uAg+0t+r4lvGsBMsmQvP8mQZySB8jKcS0/YE+/+4KWX+p+6HOCfZHTvRvceOdhLlgqrA7raPIskPqP1FiIS1FaB1O6dKo13gEUj8nnbC/c9s1xllO/jJTcMOU3b3lhu6vwdv8vLtl7adQW0nTVWPhvysRx3tk1O8wp+kB9oeJqjWYac6JZ9ev19D87nB70PWV4Q4nnC/pznDl1pM80Z2t9zmujBsiMD9tX+zDCm7EEGiUAt+KYMP3+3OkSGQoXWXqhG2+qAShub1SJaJYPL7ttlltA6s1F5hcuQrnS1qqp0z2/2Co+/OQKTozTxfVixOIluCT8zUO1ZXzv1ghFhrPNw/j2PT6b/RzwWzyueE7ZuCR4b2zBUB3POziJz1DMArnDzcw1ut6BFQErzXai8N0XRjZxW9iFmuc+Xrj3L+zLTX14PSQYK+DJ5+JCfmZ8dzYFAD6R7hRsdtnGtAt0LaoHfo6oAbvvW8TNq3+gu1+u+4drlJDNWtdQUrQVVgVvd/C5YU8CaElZVcNPidZnc+fx8Qb0V6HMBbv1am2e7P3nwQYzX1dmvXtug1SdpslrPoLu0a21qQZWKUuCRj1QFO4ANzYi5dDnSjHW578BY1lup2ND2HXPOrJVCu6mMiGyuJO56A1oTLHN5v4iu+TzrdHXFu0Ydgvqa4blxltqaV7BMGM/tJK6Bnn/MN2qfwxbb75Qny80hLeBdXlHZ+WWTzYYH7WB2LJrkIc/JdS3WLjDq9xDqSPg+w+/RO6Yrj6aXGFt+idI7RezHMZ1MsnzIc1j2ASICwIXvMwH7EcvpQ1hWfVF6p8CRdYYfXCemfQWfh3N7qaUzE96zbA8u/Gl8NAmw98qz0trazeWZKT+Ba2p3JUCczKcRImxV+Xqu5LrPnk/vSXDIDPG6okUeiWh5lGhPArczaGNXPYT3wZQPg52R4EP3rGA/rRDOiAbYJH3CuzAY14MxjYIeMQ9AnJM5MXO8eidjrvlnzibEc2ShBvDCoWwSDhvfdmfQbf7R98M2U5nVnFuuH4kCvfQ6DqMPKAkqR+3ryJfDgAiAh8jzqo8v4WqYU2XlKxDqPdyjlCIhLGC5u79lUI7SvToeock0Jt7evT7e2btz2UMhflU1zY3DIZPFvF7B+BIeg4jopFA9gdXhOdi/D5VVLgzE/Y9p+enBWMZlQNpAYjNMaUL3ka3ZVmoTQnUIyKZw3Kug1hZWycqXotj7QXJNd6raHT5mudzCrIkb+diBqZgXAM2LMD9qGr7VvDSCU3QYnljYucBUjGR2aZdSXQnbDg+aV+ymTSlrile7H8gE3xGeGO3w1TY4CjG6TGke5DBT1pUwMDC83Fs0ET+nNHtVNsF3at2cBelcXdpbX5SIX76bztp5gM7cBeUgRPHdiC0r+O/wry8SuN+lteIIOOVrXMmf5u7KGzaM/R1r93syGB/Q5HYfsshnRv8labU3vE017NVIdOVIXnoYttX+fFb+Dh6WvEXYL16AhEd4vCO4ykKGykVeMJ6HvGLiJZaKsxVdfCD5+jrAeZRN7pBs5muoTgGgrHDufMFQCIytdZrL6W9S4C3mQVjTGHzHh9wmPM3yWqqZHyWcrg6bWQZdzQEF4rWOXnfkY5eKmpfQE4LBfyeeYdnOowKO1Zn38yO+mWA6qsdfax9rG5yX0qdVE4aPe90TREKZ5yd3inhhntOy+P5WewGnNAfDvCU5TbUbv5lsE2Cnbi7orvOfL4EHaZyprw/RYIbDcH/AT5+m1Vwk+JawMIKW70+efVQE6KWJ5tQgHd0oAXF+h2HRpgSsKu3KIgwdkBm4zkrYpmC13/ypKq6YBVoEomsteL5twxP2VpoxvBn7W1QlXi8OXwN4dR4tXcgSu1ate6BD+l5UmgFvrYLiofbjALkhb/8saQA9ZDHhahPgupvseLShSqStB/s5Gwox/bffp5FDuR5eK28zB/0OgscIkrf5YbxQz+Bc7a1v27dH4Djoxoqnf1FEmo9xeqeI/RimplDsVnPOmfeXdjcBMx++Kbf8bnlZaQ3m+1qpTFD+CPwOr8kCeCerid62W6/6SaTxUoPjYOWoW16QRb+l9lxGe6A2TGDo8LkVqxHbMtoLG0xe6NSmW2lc1kQCSM+Z8QCccE4eTB1W2TGsAjt+6jbGUxIObQdwpTi6B2CvKwK2ZvSomnDo6PfB2rNVKBfbrFbWnaXNyWGFJmNsbc6g9YXPYLXnCQfnHD72QAAL7RhOsmBleU+MByz/mTDuFlZuaRUbcK+50iwiIe33pFhZMM5BSNDuDUr9kFu7C5DvgBPGk7Y2s6d3fZKxFnKI7SQgsLeh5Q8WvJratFd2j2wZ9VoZvz8JcFrBFpva8wWGtnTPGMi4G9YEA22f5nUT/8bdLIHe2boz5jEhXxl2fsU0QkY/DBQogtfs0hgCqR6MeT57dbc7+lw5C6DcGGCq++igQjou9h4+xixRDd5izCbhfTer8U5XzNOT+uzm8Jeu3anDgg9P7G4LSLdiVrOOVsSQqIxbDotTDMbuoXkb9x85/Gm9OO2IpHG0Udva8foNfx1PeXzZmzTnsX3S+u33DZEX5qRAz/ulwZTpsQ6UuNeqxveeL3l7ZGto9q6X2udTGe+5PRekOPH6BZopa5nxBSu/SI1mLehtGX3vS7lVs7V27N6ydaUEe/Kg4t++NAyntpbMS5zv3CKvOjGvQe0wqECfC2oFyusdl1cVpShu+4atVLx+umETxdc+PeP15YY3twtENg9FfOsWybUW3G4F1fZ4aXSDQyypAs9vntq9qbcCvUmzXL42gbk8S4uGcIVb+bsni/NICHsqyJPZ6VMaN48OYK/25iGLCugThrU0HRBcth2ffPUGl1Lx3nb10FFVBa/KjkupuNWC929PI3xzqSNEcal4dbm5AlpEUHeFlh11vwzBfmtwFIVHM2DvIbtj2/rH+6ePv3l20vzxKWzW+ebRTvPM90FN9Q90+UuOmLLiqUIyg7se/aS1Y32jhWFwWKSUzIfpom6MdwBmLwYMBdnkRQa4Ak2uqa3+LrfPKfCi5nXoe4hE2mjGA9BAO0O9ZcAz0RzayzIs7xSyb5mYNqzmlc/rgeDV/UzZM9uLL5Sxp4crecwZPq5Dk0X+0bxkOfPsoE0GXNlY98hrgMs6j8VetmnPMW9iWfXz0bTiVY2fy1kZbsVS0cnl3Ot1tQ8f0Jy232igk8ukC3psDKkQbOYhQlGXmC6HKgsRaoJHgcj3ZJ4qFJi/57aOwm+HPTfBAMAPtr1OzkNRf5wfs76WMUcaX9gCEtue7QfJGP3yaEDEM3PEDOnjavui50ljnb1XrE61PSntQ46rFBnFdWgl1qXUBo/N6t7Pae3zXLXfee+n9ybbKEVkcTiZj+TTdRrMwTNLPCN4ZM3mOZt5EMJjOCcoaUpLbNeMiJfrjfmXhRfsoRG0fWr83dDaeRTNMnSHRwVaFZOSYIvANSVI76zJi/n6ExvUoj3KEvx8zL1hicc12d8jg/mcljD3J5n2JB0ZbvgU4TkHBP7MFFTl1nmYvm7qU0Om0NlObjMYAzjCDuCm+aD227LbfOJ27u01tpYX/bY2wvDm80zb/zCG0Nsl2BwM82S033smjlS+r8+syHWc2bzmdvi8TtHk2MXcVdrzVynz9CFlBbLJYt1zOyhju+JxlbTLRU9JAfvB7dKvdbng0r1nsyLWmrZnb64XvLE7Yd9coHuBfrCNiEo3QG7iEeeyDL08d/VOjC+6tX7qrtBNm3xbFPqq0a9SFKU3somilIqnbXc5snnGNkPem5YWdllGKGJDvvTvl1Kh2qIfibS9UCy6RI60JwrkiU57MEff4/Wcz+TGORONMTDTh0wH6LnRA7tOIJTN1xtYMyWGi1aJn2tjhkF/x17ReKO8ZiYY0R0faMyD3uRI+attL7IopYGX4P2srr/b/nC4/jS+m5zxVvOU6JXTgxN6bu1k7/uvRHqniP2YJgvlla1OTHiRfTEDbfE49cB6oto7pPd50jMsj8J9z/uB21pugAf1cVowLlOo1aOwWPSOD5mWIK4OqZhpsypXFtxG9IwIhnrXBDd7HodQYStm623iqnfYQt8X3V8qN4+UsLRJuKCAg00FCDg8UpJyOwbndPBw0Ldlk0ftpLJLhWon5lmZc3RIdCRcBsGB4JLVQQeN9xRem5iN2kN7jTDkpEhbrZMwbqPeoETKdIPW1urAxF4Mm0GCUXt22hxPQ1xJYzrGYYPNf1o0vEnnfkz1UVGmOfx5Ricxzx1Xtsbu+6fzikcMrzOBd5jjnFigynmXDFyCnRhTPhjhe0E8jwvL4nzgdI/HvbSiWcAQtFd9TmtjJaSacmU68KE+BsMAg4F+h0O2I9xbPekQyt75tOR3J/THwFsfqtLYLuaDWJtGB9T2LZ3w67Af0CfqgoebWgsAmPe7gzUWvq/4CFv7y33vALg7iWESotF5jOywEVvHW59/uBVoV8KKNNpl99i0O1ErLrLjVgqKFuzaQhTv3Qu2VmkK1loan8aHfH3dqMpQwl7LsFi+SVC42oFTPlz1+YDUV+4/8T9szFN5/MXmsvQ1HRFsAvSrbcdFmtK1QHHrxL9IC7dcRfx+XAs/ZfJZC0nVkFtUoNrwEu4iRZ9PtLgP+YRpwOf+62LuRYEYYS7lEILjqgfLoGGtTvUdgZbmrWC9vy33krx3pLR6rkICtje4KiuBd2CauOTVD2jGpKzq643LLD0cj+jFPZxmOF6w7bxLH0HKeP8I8Z/lpekQhvk0L7SAzV6xMcNqDWTaSHv6SqG7bPfOnD0LuXZ6yLasi2hEb/dwjw4FCc4DeCel+aMReFZ7+lukQ/nhKN3zEjmbJ2+Z3GjZUp6Pq/k51dGzcl5dsEdMwmmc+VlQzPHeb7zu6hPE3yLvOece53mPOhyzI9qwwA/DEWQYOUFnmnMBp6H9VoOzzbKu72g/fuxw4CRF9uY03+nUeXRfPKpgNQ70aTIEwlw46DrREfcGvLfWWG4JY4O5Ec6rEr/DeHYJIbix+rMuvmT4HuU3uQ3moQE3ehYzvgbBea/ag/n5aJpkeoL3SLYMdOjhhtL3O7ym4WdZ1WJPzHy6LcVTmZzb19S3R8d1AdtaGRu/i5ICVmV5/JqVsk3Z2u6N5btiW0SlAmw71EL39nf5jMWiMN1qv9ZmL6jXrcmSN+mfcJky8ODBqGNcCyV1NtpqylE0wXEfE8aUmFrjoFlx8xExZWv+C7ihftodsjmiksvSAlpod9YNyVAenpjma5j+edx4T82vTmQyb/eBecdkcDX3g2z8FvN4qu+jSEdwLGjJZJD5SB9e2s+879v3A1o08n/lhcd3itiPYZKq8e5VWQh6xJAFQVaBciWmiWPcY5SRXWM9wu+oHfo9WSzkZ5xosWYrTIVM1nI5HvkQmjXUdagUznweKWHDXVusTLONhg6rAjzWv45Of5YEkEOhRkBx7TXggw/tj3AYrL03BC+Q6TCWU8oT+mj1ZUEz90fGZtO8+WT0h/pnHr62AcY24PNKAT+4E/J4GXhKsNi4bdFabqXskMVduKNrA4ej3thm5QNFbbiuF+7X2EDDIQnDT+vH+ui/7bBd4ff5sMWuXqTdydHX/KRIpT4b0+lwdStm95BN3q4q8DsjE2Jad209GCyWb5v75Kl7M7mHtNcpKNduWXshxmlFBxaJlRF2D8zEkIsCFoI8TPDRjm468MQW0oro5ZvmnF4GHoJQ08cNwPDipX65AGFW8H7Ih8FZdW6/XFsBuw8Y2xgDg6dZ3M54G59ErGSUVXt3NYA4/7rPPr7mGZtQ2pjytgbVLFvNs1aFPPMk4M2VSh0+2dtdubLTGmBGWYy+RbicgU3KUKHx9vEjy1hru24xn48jpw5LuYrDGg60SLnF1qVCZRlWMMxJObFSojkYRGt8bSK9J5gFGJ59lGdFn1JT01gj4Vn6OgsA11QRzUtRml99v5oOSogXCfvfakwywGXMkcN8fXzME5IVXPzd19pTbaGkansgAqB7eALA+7cnXGvzgN1rU8Te9s3veh2esM1AQXeBatf4Atj31rCaBfXe7oQtNzQLZqMZNK98DyJclZznCEfptyiGd6l0h1RF88qtBfurDftWcXm64b2nG566x2sVcSH6VdnxVHa8vz/hi7dXqCp+by7QhGoWsLdSoeQm5vR0a4OuWlo0gJUSNtNd6pMbIBDpGV5RVpf6mg9rl/dMwo21KezxYW7NiM/zmhp3Y2VmJM01wE8qpOo4sOvl7Gqk0b56Xx1HTnNGPYUNMRMtDeBwBBvEPMHQL9GDySsSizy1X2uS5AXPy7CcCekL2MJB24oHeZeWSYv4HW8hpb2jPTJ+M9L1yejRyuS5lQ1d+5o890IZ8yobJU5z+Kg+weDrU9sMF3urArGuYcSV+r7whPWfC0XuQyGUDT6jYQw3w0esYpSDxvtY5zxOvl4SL8J0YFJ6T/yLHcjqkk9heEM5fz5w2vb94Q1r/KfRMjYcnejmKkn6zM+5fOZxApC9TYejF2EPj9T3lQwFRfNyRCpHOLXoOvncxn6H6B3G/NEFjSYvOn9s7bKspPAzHc4zJVnj3Pu54pVA6yJ7Ii/wEmVCgsP4D/oE8SfTnuFj1H/vOa9dRdPgMgO7sL4ELRKPYhifpgmrAqh58HR4jb/PuAhyB8tSxptI7MJK3grrMyW1fnVYpEcRycFtLLMpkp2/znXnLtNvD1UKxHOFVLbRDIrE5AQptUd1BisAa7A7l0Cl8aCKfjdsn/dWdZ+/hktWzDF9vHeekNOZgs/nTKKbU3mg369I+Ta4qCRpoPzsyvYOpAli81sP4EtrcuVc8iLFjcyez3yeGda1w9yT0bkV7vs88P5yOxojc3k/dA27Sl9LJb3PYyPwdbLkd2jOWL1+13XoWP9Je6fr8bQXVLTJ3eusKtj30sUFQcUIvbuV6jKSaJOlKpoi9Xnf3Lt1V8Gb29bIvTTPUgDdiLcpbRXosmbB7bphf97aOcyb4hGV/Hob2wvsnMbmq88ZiSHbJ8x3BeYGX5dQjCiXtZ3bZ2/grVQ8dcPl19utGTJLRZGK11trpWBcYXOtW1A671tFrRW7jGemH1CbM+acwYlluzL2YZ8P7AXbh65kQ9GD5LzYAR/NcsmSX0lrbNoj8z5nxY7W8sSPz3uYl+c9Sui3rQPjgxVgQ0Q37vU6xzwKjmssM1oz2cDvHm0+6P9hnkdT3pO+StI7RezHMJmnxGB0KdxwDw+2Uh62zLTxbHAlLRMOD4PaFV1eNIdSozpnILFmas4WGL3jw7MpxBlAQq+OsBBFlgv8zGP3UFEsGIK6MdBK8FhZKl52CgWZlVCLNk3gceEBcbNftTHgkfHdmTcd4U+sXzRWExFPzPfdlIgrgH5xXFfEpEMHvpOXrU4GM+Z8d5iq7WBZQygkV1hjjY9l/0DP85R19NHmseqyCTCAz2ctIwRxDm2bGWN+rl156Uo2YoTKjsYEutDc29raYWxJdQE0r6muVUgioNdzoWfEJEzKqC7Qs9LWhTHLVoB6SQJsKr+CA3tj9qoxdELTcClNUqroisoYdjwndSatt5sMPfydd8zglsFhM1zUZ5U2VkHg0R5KWIBK3qMKmvZ1MMDKSlC19atBEc9KW6MJPmcNh5vG/gVhtdXpzCD1tSkhpR0u6GBgPbyzFeDvydrRBZAeisf62D4H8lwBWwd8fmi0IyrQ+h8zw95vhoUHBeO310OCVVB+9jUYlC8Upn8wlGOsvXodCvCsUPXy9MkM34r+eB+EyvEY1zlPPgRbrpaMp/w943K1H1ueJABMh2sE19FaZFoGdCVYbkNpntfR1nSgsqKr9rwscLfqn2IcSB2QGzsUkL6+mueq/YkrYp8BXPfNq76aEla7l2taLm29FFSp7T6dfeuHg61jcmuCc9kBuWJ5cGP99e4RzVj244ykao9SkNaU3AQogrq3wwQ8Aa+2vXm31gKUilvdcCk7XpcbPrFd8Wa/kCVzRYHguQ5NB1uC7wRsU0J3AZ7mxPLQyebCggZwX8damvkRv75iQSsmXHU4Go3WETbKaBva85VFLa9PNrpyhUPKm7ozlDk5hJWFLAaNfwrT2g5dFNPcJ5wERepy7phcQMpYLkdl3chiqgSOb67XOhu8cW3fXfF4to5XtO1dejwRn+74PqUPVo4emeEQlZ092uNvm0MviZw0eR2+NK3mioG1UJKe3oMqGLzk0T53tOecwYMF3fGFvSj/FvN+8iZG2l+BWcbMNNf5HfXyODBuPVSSLvp5dPjoEZSybAVE2rngCY/aX8lj4dMz9sfMcwvha0FTl/DowZBn3pFp6Ape3m9IwR94fd4XCX6Tw6YwrUf8KLU7RXXi96u90vDEitgHU+i7xOdTu4jbgSplpH1qNbcEiHwFzxsAxRR8RTBNbudVJQAs3JaMPVmFqqfxzVFofO8/m1cLGgZBuCdYk+OCharWDmDg86xOOj/waBj8LDV9mnJGnsCdh5Zp0iCOdx8g3SXKlCzE6jw04XlH/KBtERzJuFx0cDYcoa4cvOM5LIbbvl6H0k6m9oTrNbpsfQqZ6Bnvy0SjsrwW8uLgNz9frdm0Rtoab4BKatOzyn18Z9kaovE8CzSeVpbBWuFp1bcVHEjw9b5nmYNpUj6X9QxK6zsRcIuIVBUo3gA8NC+f6plX63XfsNemlK1dNlIVbFvFZspJYERSUunX3xTUa4E+t6hK5bm0cxYy6LXISkG+wgO8C82BsrdoSXyW6HSow2rJ7oM1ZexFKl6VHUUqhSKuwHbz/IaH2gmiG/KW2mXnFvrYQ7iv9iIDjeaa0Wk3hjFanfmAPeJmlaa5a3Xntc3r1PD46L7Y59q0Bz5aPMO/oHUTzLw+V9GLQtkBzGTY9QicTFdI8ftoWvG1D7f5VZjeKWI/hsk9S2wjqAcrXDGELGKg/QyGD0XOhJ5U/aS0yj8PlIdTOuL0lhIMbRj5nfVrW+ST8XsSpo3pTm2srJ4dpBQyazqkIOIwHa6fEYLMRGXcLPB/imfz3KD+edbsEbsgxiE8UWib8hY72ME0BlbunmVQE+rpu+VLXrfLe9T6bup3k2UcrJiv1TI5OEgNylaqr176PQms3LQs7MHouGkFXUjtnAErLN3Clj3F8rojT0pXfNMSDX0zj78LprDJ0/w2ZZhSnoyP7B1q9QncWtjoUWM6D/CdhD+GwTyP3cN+LLpWzUq5u2DQg1U2ACFa6Uy3vbeOFkAlzbHY5UMlUMOz+vyfZANB82yd7siCW4E6rpKn4BC0O54VEKXD+ZBXZxglwa2JtBR1mde9iHk9m2LZPlnp6/1ZSFcARugoCiVtnszWN4ULCJmptepcMUtKuiyUSv8X6sjzuLff6L7BSO/uMN/5kImZx0i74EpFh4VgjRWP8ow+99rr+GF5NNNTpwedL7A1EA6IzOhB4IcDnrg+e14RltYUkaA3HA4qfR41gPxczO4H3/ocNqOElVWk0adEG6eU5/SOTApiv+w3zTmrOyz7Ar+/RGu/j8bq0ahcZatd+15KhaigPu1DEK/oIXnRBVM0pW7n22r3Kj+6Q9jhZZppXapjnoT+2liahXdCjuzt4FE36eOjkE3aXT9bo4VSBXVvd/hc9w1P245ta9bcX3N5xqXsuGrB9fYaz2TFXPrJxKve1k2L3xPbQjcLag9f7JbN1SZRmyO69wFb0DPGSxaKDX81eCGMMizA8br0w7K8n5TxsOE5DhCv2zB2R+sLvY6gBKL3QrCk90dXTUx86IZYP0dbMaWY8ZDUUjw7JT6WeMHsXZy7GjaXaW8edRx61IYC676yovYlhxPvUko+L8fmcu9wI0ekAOL8+FIlG/ejK1FW3rdzxvhz6ivt8cH4ZyUbU315n3JDxm1RJqUjuhPep73O2nCe3Wh/YOyoSF5vxCdleTXLlKcyK9X3SP5leOciwWjZja67kbjzF/l+W+JrD3krHNAHIZqpmGjRag8ObRgPbfjmPSn3z/IbWlPdxrPVDc77THJTbodhZL7avjufTe+zfCzOHky4MbiizCiTYfok49GYOE9o8xMxX2hrwZ94fxOf77DbmOT2gSHHrBLxU85XZ1xb1hW8xvMmQ00un+epwbVa49NZD8OTu7DEB+/TmAz3juiHf7c6bU7PJHEUsTxmlBt4sc7vd94fe2/c76uni4k6DwxTTFIfgnd4rzckhStpGQQA4FDFM63HMjkPaN9pDWUZ23jJPOet7AQn9UGgYc1O9fOfA90/F16uGa6jObNSKk3iOo+92j6LdVrMMW/ecKGIZy7UVigZ5rMsHHwWXo5U1tYUj9kRzFPxhXF+zu/nYQSr7QNqdBZpzlZpd7Nuu7PgtRuvXkTbnan9T1U9HLGq4FpLM+T1a23K8KepglLgillV4HbboFWw3wrqrQDXArmWpky8tXFyY5x8bzLj5Wjf4z1WR785r6q4jKkVPerTUMhupfX5qbTrbC5ld49YAKhlByocDy5DouEGaCGKn7aKK9CvtGkACNFgFW3RxXwTmMd8lXL/5vfkBbp8P+NqmouMM8X6LKXX4c9DeQV7/I6z2rYRHhy/TbLxio/wPnLotAdxZ7Auz95P8k/lyfs26FeYF59o2GKj4jbu8E8Pw/tlSu8UsR/DpF14kdo8VxUYm5gTFiIeOspxHq+PrenpkOowMcHojHpYwLuMwx8nlHK4yPM9PLwApxBTqz4Kgvckw2bfDVf1Eutj2N2ricOTWjsa8eTN5AXvFkc68NPD8y4PnnNKBIM3gqw0Ng9Kg3XpDRzg64S7SPKU7f3LSmnzSuV68m/DicCF5xVzmpUHvplgsQnapsYbSbLaqj0kcdk19JsPod1SrddnAv9hexhtevhhFo47rPWpKTi1APV1xjF59kgsa9VX7ZfO63iovc2CxtDYIbKtXxUAW89Yed5jGGY4Eob3Xn2FoNxdKY9dqLS2tmbxJrWHY0V7poJhadsVc01B2OupNs21Wc4JfADcKKGMeyhwa18EHabLyCvEsHg4FbFQU40xAWJ9ViYrQw0uU/hp0Tm0FPdBCR82aD4/xgINc8bapPnna7ktu4ZTZn5NUegMmvpcEPMAdzql0EuDz+5vzEJ2oMMLPiU5J43xu+goR31wz11RV0658KyEgCR0Nbil7wMY/agyvME7vKULDOGuH1uPtoZviN6zhlqi2bZmeO2Fee4w9J8UQSKn1UGK4yvtMa784f2E3nFo70n5uaJ/1AdVYLtiDpckCLAM2tznfiHrYqvTD9b6HDPFd1+TDJPcZIJ1hS8+kGoWqiTA98qlot9TrQ4fdgDPi/lL/RIB0EMSmxL5TIBkD3I+OA+CUqF66CCbu6qbusGDhdg25WlO5hm7m1dnFxgB9JDGBW+uF6gKLpcdl6028m2CtvSjqQq/GxYsdCitH7Nopj3B0cz4oH1HiD9gHKi050WBWuGevlp6BJTXfay6kH+7tfDLIxzxDV/39AGepOL/Pn8Nvnh7hZs2RavdnwvAP+vtCTuAXQXPtw23vd1jpNoU14rS7pG1tXnpXhFprfF39mr3tc1rqM816ycfVnloVRlVcB1ZuDbr4BDul5NqPwDgyDLGMPR9cBE6yj1EjP8tDuDIz15osDXSDjW9rTw3N+NzbHJLC0tp/QRFmUEMNwUghPSyZLygRRRwIzifiFR+sVZyOrVo7uOQDxgmGeKFbb5LlBin9IzDDmfv6RF5Z5SfeKTMd/j8HR6uLKtMcstqbO1Vkk9WBjpTOG3uHhvZHs2X1Ie4lwwjgCxrhXzcpwfmZVDG6tiX1nnHWDTeI45V2CepL8uri3gfWRmkLdbnQ4pZa3sqbLD032TIG6MfjbXOUQEODcisOzwHmX4lmhGu1hEAVWiervs78W+Y+Zez5FERJNF666MpYztPFVKixf7M6u3zkXnt6AkbAQ9rIPPuZex5Hg2N9sGAN1pfK/lZBW5QF97TOEckGYC2EKifvEbitjmKlDxAC5wRbqRKMzzLfeCU5GrnUTOfz8sr08gDOMLvxfIMXeF1lfvNyfCdzwSojlyGFYyS3/t6ksiLuFEV1auA7DLkxkCAeuaizfhOxRW6wuNpBnkpypaDQwaakT9B43VtbPuYsHI1dpqqT+Pk54BEJ/l8xHDE8soqmbzZ5q5M84/XejAWXNWT+FvL62uL1gm4u4v5yc+BPldsTysd1gmKUS4Cl2CmsQwy04oWT3Ubv5Has3GkuoIC7Qg2HOQJ+yLlSXg2vLlBd9oz2zxVp6FS+5y2q2J6w7uOEMTmDVtEUUWbwlGbEva6b7juG2qVLh8NBKp2hS7gnrD7bUPdBfpmA24johKqeIQ9Pl9xhXXit46UkGEvWr2nuawCv77KrtpxT9hS8WrbcZG9e8QqCgFRRPG8X/Bct9BnU8qaHNn6XqClechWdIZAAD6H5j7d5VdoLflnKmOyyiFflmmAIEQBAwyeIwK8qDLzYK7rSHTXrbrX9UTiisM+LOWxQFfWiBTVEZ31QV6I63M5svfhyNhyydcl+M/gPDxLWGb48qd3itiPYeL7XNgK41S4PKlrOuA4q2tRrzF+g4E538Qny4ccyioIhRrzUL6z5x9mXQVL5oyLM9wkuOyQ6h4jCDBzOYfkWhIm2wT7AcfStd+ItJcZd/tMSUZd95IdBo7vBCMxqF41MWrO3CzwcSbUjo1nMJ5C71b9Wb1bbqQ0pixomXdrsARGU/DUC3rY4GPCny3phduSfn/aQVlrKwhgxMxaqDf3gksCY33CEKjPNsnE0LLXLTPBQ6FEg8mMa2JEXAl7L/WBbYKUDEaxj6+PdUWbc1nYpmpCfwgXIQ+FwFzNGxeeOA/DYANDfc2PVu363MX4vmr7KDyzKNwKc4J3bvI85fHLFs4CcPjkJnBwmbwAMcIRp3E88jgdjKbMuMrgJqUilz8KiXnIeAXmMhVboZ7nN8/JlLKw63Xb3pgHR1M/CZd8ABDeWdsZB2EcAAEdhjC9rOgHgOr1ZsXyNAC6/h4OX+jdiq7b2nYDgiSkcF6nNcAcHWC1h+Z5IGOt5PHKyrqpLqPXgmZ4sDWr28BiaNs+hRBXpBufUL6tNGHzVk0xa+UpZFUtzWs6GSIED3Edzw0Pk1fsaoyon3xQw/2dhmBaeO2v9XlYK1fq+6XseO9ybfcbyQUFQ8iufVA2qcAG3GrBVhS1qt+by3gdBzGDloTxOljHob/9e1in1FdXXpwQy9Vabfu5gC2QRwG7YkIwBOc5j3X06ACfhe9ZCZnq6f067McKXwaXAl2VC1kJ8UffEel5+Fykw8g5Ot7f88BcHSBOv8/w8C69OJ16t67GLg/zYkxVZJITgZmWfdixXCoclxkX7X45UloD/phI0pnCJNcz3dd7RBNzWtHVO3gfPM1Hs9hcjiSeZoom5I2PMqdixdG4HswrVmYv68pT/M6+oQx34KfhnqUuXwqGjElKzonmrRSzCUZJn1Bi5RIvqRknq3llcArBZpFNyvjMsuW8X2Hi37k8pxUfE/hM2zcXBudBniBtlHS+wpRzAz/z3pTD+y5pAvd3xYMsymjPu6yO1zrxKQp46NdHxGjv5wqepJ1bkSCWIQLvRAUMd6a4c177jHbaePD4dJ7SxsHhsGtugqzZ+UHjkzUhiZXq9TFcTZ3Pz2xcF3OZu5XlsLO25F6b9p3wGt4ftUHjxfLN3e0sZ5DFM8qnWLxPePrI99BAlzq/mtacCrHW5GTx8DzglOA/n9dz2TFPdK6ry08CYNcC1PZ5qyNakJ42aPWAwhJjrAE35BU3NG7naDLtCxP8TFupC0u50WinOVoxPe3rtOqIeGThiXPa+rMbECIp+dLvZesRTkxWNLyfoO70zCzxE0dnNayMfduUz74PdTcv5IGXZ2aLuZzbDWfL92hTqGveO982HUXeXLUdnNLeJjTxEoAPX8VHkd4pYj+OqaJZuAuiRWNiqLMH52TpXDuDxIpH91yTUGaVOLZ3uTGzRXlCCDYdzFWJd7+K9YmJEhOKswXT35VbD7tmHjR2VxbhI1sLryybtXseZktS90AuAz+ZSfX+KFxINm8EF27AOEEYuxZiUcPBsodlIpj5MJHxOg5KrLjADvYke3Q4o2mbtZ4TNwsjZUKDecduVA/B7PMrCS5BoUqw1G3My7xZhvw0NlqELNJ0wKUY92A5rtU31fCsN2Lt1AtQnwT7awxLZcAF0vpKUZ8iDqfwyiZc63jO975qATbyylqmtGEaHKas08tox5QWou13uPc1bbTDO7X/7t5kTbnc5rh0b1UPuctKClvDtnYWNIiFWvZgXabO2Jm3ZLlJR2lXhHTmkg0AJjyl+QEd/fJQxeS1OjEjvP5u0sc9esIFYwduMwskxofz9KOx8CqC8qXP2VuC2eCsgnLV+Mxhl/hbKB8z2YLBoBe4x6rWNj4tjLXCwrwAiKGIQXNv6+2YAFybRWY4GErKJKtGBMAVUdkE2k8oqQD6NPAVwuv0tQrBED6YDm8jr+hYE1wPjycryO2rYpRXwyOFH/cwuhhtM95XhxWFvDetMS6TcYIy+ufPtN+XjIYf30Mrumd983A0OuVtWsi/ghRSPN6vHurj+SYpv8I7mC3VTTYr3aNZhWg1jZMfTALDq5fo6fYmjq1b+1s9aIYnkLZ+ilkk21596fjqa8uMaAKcHR+6abPaf1VRLrWFGk4EugmZiq2M+29eldpC73bP0fcurbGqwE3GPbL7XnB9bl6y+5utWRGbNfNVRkgp84BdhRw073DDgdE5o2H9X9vH4t7j4fZl4LL1X+c5YdVqCyes2xCab3XDtim+/vIGRd7Hm3rB+/uTvwNaSGKgKWurCgoUwCuoCp5vLSrEQKoMT0xeB318fA3Y2i69nzfENcP7HKi8rUO0kMzBSwcgOhvLMP3UDV0BP/MnRgd8z2b+hPcQm5sA/H7ZxI/HeU68H8E3dXL1LvTH9ggdOA4ThvKQsGvvzSvYecjFNuzCMdNfzpt5EACTIon6lZ+GqD+2l/m4L+p4l2IyBX9Wvi/Gx1IIXctjWwSTN7WOOcwy2/I+qbPk+02ahzlb2q/Cs9QGK33cYJjW6NKgywuj0w8dvMdB3Qa/Rwc6SsRH+yPiRc7yecheLoOYx+Q5yz/VR3UNg2Ed71YGJwzWCtaTFGQ9l53N01Umz+Oh5EshiXNdHQZjQ1Z5+G7wYwBHOaun8bBOrDEp+TvIS3hIuep1b9IMZDtPwnKtG9T2vc77IMNwVPqBOzDWkc9FV0hxe3AFFgWGjd7HBHPAAymIg8cuo8z4YKuC54v1jfGlcLkqnOlYpn0oTPNgiYW6BYLBnHtRGg/aedMgV9fIE9qAHSm8s7erwyhUhj+ZVwH4qlrHE0RHhCAql8hn6LaTaMLd/NL6JSNf72cYP9Cey8bWOVl54ws7TKIAdjM406GksXG0q2ssSa7TJpz2aygwvF7z71V/zLg38cOuhLL5v6KnvE5WtGSiiZj70sc+R10Ct6HjHdOFEJUGo8yKX5v2F8U0TkwPPM+qngP6PdFTMuY3mhNSp0l5z3lEGb2kjYy/VWGbeIbTTmekjjPjrDzzvDrkvCWfkeA5NSR4cG/zvEX7H5LhbQFKbRGUSsX716egZNy73OjsrVj52AH3hN0FWksLA1wFciuQZ0G5mfzY14StD15HVGXGk/CY2POML5fLBbVPPPfu3hsnUW8Fuyjqk3go5qqCiuLesM1gV/EGQ168dBm65e0+F9IcjIFhDBwU1qX7b18z7ImQKuGBx8we2ZotXYzjMpaPdSKP8EYH7zQgnGA0GkM82ChIe1bau3l3HzRo5Je+KTWarRMeXJFLe8cMV9qP7+AgAAhMNJaAn+Q//73PCzDIpCZ/KJXh/dry3fOW/SpI7xSx/29IeZLfeZ9jeptVwqElc/JgZQJtBzTh3QqEKTTbqGfJkKz60Mvle66mdh/ZQPOCTW28OJ0R38QArzOt6zjs4wvaB9AESiJOp/Ws3vMdPYGJOq7zTMkYmF3bl/I8s6qZ5i8Y56O0shQ6y+tesOwJS0w4WLCRNHU6M6igzXs1nwhfR5ZMxsQfHSyMA4uER+NfV4zzQhDgesQAz8wAtdH38/Y+HWSvUlYULg+PKC9nD0LUcl3Ez3sp4ykLUVnwmoQFAMs5dzL/PQszPjr3zZWwJEjqah0eLagsTeR8Ej5iMRtUdE+tKj0UjzE4NnarQcDIo7HewPhmUFYMGWY8zf3EvPYP1tGqjmSXMefluhfrzQTee6RnQpWVy3NpMcYrnAU4JOZ9dP5neIDFdOK+U563rf9wTE5wbDRNVmP9lmkaDxntNHqu8eBU0MIRA8kbtoUfrtoEzBaVar0mS39mHqBs2atAUzTz+iFYszJ+KUTyGgNmPGW6ebQHwOiAwC0NKNyW0+7+aeG1rH9FKp5kR5WC2hWuKM0b1sJuWV7p5SzUc/sk/BkdeURZ48APXKxw8OLEeDoqL3ysnWDJUUhynZNJv67LnMK4znvGb53XZ7A9mDevW8W50imlI2XZ3XapvXkzeyEO36XH5npOb7MfrOr4qIaq94FlrDN58q3m3pcqvRT3Z8nwcFZX4B0WNCpXecJu5nZPQbP36VqbiScH/KD9bdJL6d9L8r6Evg0jPQljzFGWKhmpsGw5ZA/yvjFZTiM/EjtDf7y9dF4qGE0Q3ifFom3FSQmb863ko0k5R/UL91Xoe3/u8ifujz/z8a701GjU6XKGpupOGNpJxj7c/+dy3vZL5m6e/4uyLp5xW4/Wzd8/LI0hvHpVDvuofCknch1Zzlp8BiUsGetOZwKZxz1Ihwrn1KHJuORe3YmH/ijSdNaV25JF/sWE+KjgOWosKGyz4cNDdc30OtADe4b4npu1vDanfGo5PUkVHCycSe98glNd1Zno2j1EKJpSMecqMrxCJR3aSUKU0bxxFR7OP5NMNcmTDBx1DRkXvS7DsUcySs5A1r9w76tUFKmunB39ri4v8hjtZ4cPokFubkLzbLR1N632SjOu1w8hUwEfnu4ebfarOg/kn3uwMy/ma4556EfxmXjLF/FLC93T0uv2wf3445jeKWI/rsk3gDYLV+7/SysBzsbWjHcs3f1dYJhiHpm43lwRwQ4MC3d+nsLYAE2gqZe2WMtVx8bb7wBzy+ZFiGW20rdwbGfwtT7NuLD+5XtQczhmv+fWQZFlONVwlxGwtqo2z87arX5Wlh2JkW0b7MKjNPUzw8Ltcp8d14J5o+ublt0l4wo7aTCgeyfbgbcfmOgoG5iF7g0846rdz9bmAYLQEjw8KrWP8Z09xerW71Yib2ft3oB6AfbXzRNWC9ybzD3qyLrUp3pHUe1Wry0EJ8J9ls7MdM+ssA4L2v2W/be1uT0D2OHCcLZ01j7/Q3/T+I3+RZz55tu9n6T2PlwaPCjwMKKZ0fSpQvUthanOoBkz4x6yrI0V9ZBCuonnsU/zClNB80K0emh8c5ur0GbBMj1N9eGZ05LfVcseZ5ZnS4xNsOLvXcoML3tq9s9yleA9lWkpJ4avKUgHZxhphnqIJlbQa9/h3RubvadvjX+rfW3Lc8fBjnYfsfdTPWqCXtqAyK1ZYi4ZX2fOCReGHwpLq0XdK9Y9xey70RbrLk2fyUs5MWlZmcnCiKOc1ibDHbxn6eAMnNdwW0b7daPxR6cfJcLiCjZicn3eZLJHy8TQ6d3Oc93ypXkPYLbGRvxtZdoeIyHsmxY0msUehLR3t4PGHr3BPE5UhtW6CTNbp2s0Hmr47DhzOtfnpd1/bv20LcVpS7qr1uuUUVemT5UiCABAfQXsr9ueXl/puAcZgFZpjha0xuyenloUWotXf9ngSsan7glr/FgRxWWruO0tDJX2xelWvZ2mST6AJFzZmgi0JdOMPKY9D9/JDG2eIdmCXLXrXUvHqwh0b1bJWhX7q+JNvLdd8arseCrtzp8naXf+vC5X93x9Uy+oWvD+/oQKwXPd3JLZFLPN07g/I/jdM3iXOTQ146b/GV8W+AriM/KBA6+TzB9kPDI+Mw3KIYLF4QE4RLGwmbvVlz1SesgrjzCiSnStG8iUGbDB57T2BNR3xhMweDzre943A6ypjO/lmUhh8MK2D4I87Iz2MN30Nqku3zcVZ4cpwcu41xfzHhR8l1oyD0Q6+LAoMgCmw49Tj1TfwyX8DnzhKSxWvv/Mc1ao3cy7nfC7Ex/V65qs/DHm7pmBrN89nr0Bk7cjtzW1v4BzxbNnoxqrPspyizFStDWXrrXI18VwPXynet5HWjfE6dJoa8D+qDK2KRllfGfPjtJgZJk6KGcJpnXl9N7ncPxscCvCfE18gffb8FUX92+f9Q8jb5MbxfnsGNkK0SOWzgWCzMoyDCK4tcuY2bOSlbhu2+R97nn7oX0wJmY+iXDi0ZYYLo98hSXOWXks3LZthzrK8ZkA+vCUDkCowxQ/Lj8CLHuj9xeCIVsYbBXRScAqVYlypNW1OoOhvni+lAcCl+GNp3LSINSPRT2ukF94uwa+lmhDlgUAxLka2tFxFlXSO07pXVa+gPukoz7Ho8Tv1nauoymPNDbgnrFoypUdQRnb+F/x71afhyROcFuezC+v0irCiPOdi7LTfvWC5LJW4MvoXW/LdHABZN4D+W/q0Ay39MW15KuE3tEYWj8nmZLW+HISZrjcoDNmzbQgwtTPaW3+c3Q1piNWFdUjtR1XqPGUCd+jUPq0+suoPu993myvz4sKgE2hF20emtIKmLGphRO2v8CKqHhUJQDYulfoB9cLai3dWFUpHLEMGZKiKfmekM6ahCIBLD2tF3M78Ol2prqc9w32JiOP65C0Ntj2LvNeSnXj3U9sV2yiuHaZEDDj3j14CVcVPMsFVQW3fjeuyY+qQCmKahEOLUpboShLSZEd+gxEHpjWSeYFWfne6PuakPA6Nt7G96kjmttxHc74DNQEup/r4yAayguS7wdpv3CP36quW/GonkfRVRBxOeBdhBzm9qgs17EMU5zaO6R9oPer8kd5vwrSO0XsxzgFxSN/AjPTt9r8ex3yiLfk2cQ2ZvrAq/YovwEhPTSmlrTQLYt7IFLBzChKfHaPUTo7ZLCDYa+eiIW1HRi+rBh9kAhMhCcwlLOV2dldNnyoB2Dc41Po3pDURq7D82CNl7O0FKD5+QPVTUwpwbZipoKSXcemyR7T9+8gE2dG69bDL1r4Rla6On5o8TCcxoT0gw3tzBjfa6FoZXhzDoolwcQI8CZm9eaD5CPcrg6d7QWXC4cFiPA4qNSWC5uPTJHOjLhSiuFiOFNf57GG45hhzoyO10X98fVKMIX6eSwNVyZkKllaGw54PiD2JdRt69fDw8hQNBGMkUHEccpwYvE95QnLOtEBp3NJKGnhz3Tggue+jUNXuC0PMObujXQQjsmFhRWTxbDyfLdyR22vxtmAulPG5jgwxmRZLO0F3tQi8zDaSe/TfriCydf9ou1QT17rVuei/OoQIDxHok9cpaR+GO3gtZgVhYJmdMH4XJHnsJ/BBZsgsCyiTOT+sMBiB39+wGCesBuaQcqm/RCCKxkdjPeZyoCjC8naEVLSRDBBepSl9XSHVQoHNl3IzngKP0/mHHdpOqDy9ddN1fr6lyoeItqSe8QiWzUrCnZUCKoUXGGWzu2ksaaNbRPtOt8Y/r0d1DHhShstjWnGRZiPusgTEHOH1q6K8H56UOe0Fzk8NpC0oELY17HGxTeO8XyiGVYXfVdoWDerFMIPr/bNQ15C787XdYOjvBlBTgaiQMDFUZJFsfHyLWB7l1rqS+yuJXvaJ6bXD3okn0YGept0sK8HY9dVt14wZ7JMGOo4wYfjcwVD2qNXfMTbHrZxG7wf5sPEUzl5QacO0yIL06tJCSsYshfzLHJcx1ulD4s/rmoxPvm9yw4UWQlozys9q5su+WbjdZgWe1Rlx9WYTC7X2DQX+q5UBumT+aHMKyLyStbOSpafZErjr7Kx4Qphq7rS70kJuuLn6ZPlP+k8TevP0SKl/sVHA34cj7uXWfDbOdPi0Z3+0p6Z+n44Fw/Wi+dfAcHz4t56STA82n4sTzQxjJ30aCgyeFLLs+J934Y4HOwV4X2mQwxnrienVb0LPN+jJWdpyQve69eq/D1ae1aXpO9538o/7vHjBymfE40XCHhc0c2H5vPUIB7CoaaxjLT12N2nXdEClxstuSwlzdNzEwVKbccrXVZymg+MkOwr5TefWant+TFPkC2zjME40AM0ct323tfyUBjb/bfWx00UF9lx7Zb9RRSXMha3KWOLKG6d78gydezECjh7f384+UySy/G+8NY8WNo77pGrcHZ5J99HmvoAjjkQz83PztGP5IWX6g9CmUyXshHA26zrr/L0ThH7cU2KYc2cGBoAp9QnHFYxlxiIs/a8B1x0YlQmZSQzNEKLLMF3KPzTYmMv1XCnTWD2B9Wd7vBZ9GGyhl5yyRGecP9RGZx7thIZh/kLDjzD25Pfj8pE23C0Ix44c783GXfrAi4RTN571HYY43sEjZkdaKtf4F7KLznQnAS5e8wZMTfj/thetCBtFnDvv3AHcgCA8NtDLZt36f4k4y4KYuysnPY28+GCXsaARcWDwu61QJp/alZmF8sjwfNKFENBtphCkuGhMThippyx6HdYBLRw29YkWXR5db1u8+DiexxhZQxfxi0aXHUA2OAjb9mn/sys+G42h8nbjvtDY6Pm5Uj0z639paFeK6JyWTEs/ezeXfMcM8+8nWDu5XyJKYZHax9aPqgQ60tFt1YcZUSHlxp7NE/Wyjb2POc63MNTlwbdO2xtCaCk5MjrrAwvxaBoRodbu+VdV0bjBngcMEXzWEtredQlLvQr4aKN6RjjyTve+mh4vs3BBLzveywXLD7TXrhSODpe3FuA6u9wmldsVoTKjujRvEpGN3dEunBA79T2rcX+HYTRvd1xqaUbjIDmUT9Uqxd1Wji1Y/VUuCV6sfFP9NhpQa9brO9hIYz6bN06zGZZXrsnZiBi49Pnf4F7FrhgbYYtGPiRB3AfhCluD90r5aLt7uHsYV/gd/00R8Nm2VuK4ukpuleYUlJE2/0/VI0JlyZQ36TEu236OkEF5Cq0HsYa8/E48pbPY9ZpxUoZFw5sub+8hi2vHyQr0O/JfXXZ8fpyw6uy43W5NYWrCr5mu/lvALh2F4+iG6oWbKJ+V+xWKl5fbrh04bzUhltAIFttkTWEvORvEoUv4l0MP4V4n4Bes2znfeFIkFvgIPNhYQ7lNSyEd0ntLuoL+D9II0/0EHVFLYCsIJl4qc4T8ZpdKkG5PdoLjE/Nd4PmxEpWYORx2ryftw1d15v7tcxjY/kWHir/n0uqjR89UL4ACPJYuNs1jXGW2069Z0/mebjnjj0XQzzO1IYxXfmdjnJL2WuxtzIMk5frYq92YypSzLKRGB9aLfG3gCfTBqH3jucD+sR1re52nsos+hbvhs31duOOLEs9kALfJMQvdjwN/ne8W8mSQ4E86HF+f/dwzlDC83hVhuk9MGghEs5pLpnSsnm7CuorjOtthPJsQH3SwKvFjoy83IbQd+N/fZ6kfUr4Xe+fl+m893T/K4Nw4CnLeM/KETNoC8n6XhBxCSz5dK8y77GM9DBnx6NwmK40rDxnQj808od5Ti14g8AHUHZeq/5yZSTM77m9hMsg81vYUetLjoiicBmQZd5Qr/bzoRUNznt+gsdlW4ZB0O7uE6Cg0ybjOwGE0MR8EGGA2YDRb/N29TDEJsup0XICreOBlUtZyeQ4WJ2ZJTlvSRMN7MX8cZiPaA0b7Bje6KzAafw9mrVoYzXnkb5Pc3f12/q1jSFiOEMR+1HRaHi/xiW8rxJhEPDRz5gCGGPnfeB+pvEevCidFSzoNcu/ghGdasIh0XL/bnOX1pYrxFZtES3Xi3bjGm2yUlHIVlEuCilNbvKmVbDX7pRRWl+37ilK1fs9qftlRyEP2FoL9r2g7gX11u6HhXnA2t8OlP48eMIqktw+3oVxtFcbxpw/2VNF0WVaHet27+eCtXnwVjXlc6zoE9tzi6RUL+4dWyHYVVC1yYfvbVf3iN1Lwa3UFnmqANXO9Fxelhgp4tGU6IfTbJsfYZ3pGh+cZ/F8Oq+jzOGcn+ZroONhDhsRzjDQ3a+Lfdrqt+hJeQ93XkGAkh3zTnAgmJ2eJv5TcaznoTbcgepBQ83D8Uh7+aEeJqSTif5lSO8UsR/D1BgwhXmRrjZtBc4n3orQ9g0pKHIyg7qoMywIJ/IaDk6cUacNQAvaJl4PFjAzDsGzIwJxdH8t98tDMOX3ktpVuEDLefxr9iJb5LHFbwrUcIBEfKlg4CkIXxlGRRD8nWiVJsxyWLeIF2OU1H87qCumhuAbuKEuqu15Eq1pFwzjoXL2iBaf0EGe41H5ThvXAs+TlRMivl0Ra0qALcIdGPpFXc4EAijPWM+txVwxpauvUVMGqESByrxIK80Xhd8f6goMWqfhbHZUO8PkAMT+TH1kptgAMNwnZTHjy9d4nx/Gk5q+othaJCHeGMpybb/3bkHuHqUYdTroQmgnWhGEnS3irGCsJ/asbWF9dfYis8MEUtoZ0+P4NoUlCyHWn654deGgK2YrEMNLy8Cb9bca414HzPngYcWYtbwSjXWsT56pFZ3C7xmcAlioSd3F6z3iWUx4dtyUBqRUGftKV7YVExaExgqEB23KO56jQZGq41Ot7aRoyQqpzCT7+Ot458pMC0282Eu87kyDhOqxccsC0J0UaKfM7ZvAxe/j4VlTwtaLhrGYEs9Rq2/BAAclnwl1fSyjIl6meWRzVW4dbuqP06CS6mFaluFh/iSPMeUxgSLsd/RFLzpCBFpdTru0K2FH5VoFKMNy10IlWYhdoG+x/bmIoqiEu1TjHT8YREyFwvGO9ytlaugmzf8pzxFegHHYcibs8EFlaWGgtlJxkYrX5YZL2XufC57KjvfKFbsWVAhKUewoQAVuZW9K+A5MEcVTaSGoXtWCZ9DpraCFhpYxx6ZwWohrjKNh8Lh7fUL0mWkF0hpj/CT8Mq+W55zPZfo842Pm/XZBtwOfIfNeTe1MQvuUr78oekq3VwL7hBPDBe3V7bPPbxLCl8aNDNsKjiPamPq95FFwB+/vkifjHz0M2Zm3Y+IBl+HHeBCcR4zlDqsPh5+LzJLe6/x8KsLKftpHTg/oHpw7uY6jOo88CFaHUfnwrJW39T0IVqAt99bKPT6DQOOrXQ5T1Wl9ZVp3qIhnmczHY2zMk5I5e+Eu+uL7+gP9XdHIe57fbuz9yLwgHkw3Qd3GFQj+rvOSdWu82URbBY0Ps/zMtzDNzHzSAj5N6PR8tEexEpYVUkEePptDCakB5sRfKNCvuiFwqH9BYfPSpF02sfnLez2AOM/nfY66MPJxOVYiM5/I7T0C/EJ+5fEw+FzuAiY53j+d54tebyb7iPG0HTbOc8bzLXkJe5dgcPikhSZVazfwWj1U6RHSFa5oNi9YNrQMSos0jlxH5imCjpebTnKey1ZkyO1lqa7lGUqCaYWrwMbZb40ZWdad+kfd5DZFsZZLGWbAZRtf1wteSVNZl0uEEGU45rmTaM+RjKm5PyuYaTwnpake1z0aoPXU6c4UBCOvVV6LzKtSW6GLaZ9xObsb7fq5iQDSZcey8MD3SEqMO3pfpMlZG4BrbYeSe0VXxqIrNntI4u4N27zIZchKCWeBrpCiPeM1rH/Dla2JqScHSaV1TgWqFCmK+mfpdbm1/qLiIs1o96oFVQveVAAouKCiiuBSasNL9xCGWJQpoTtqEcbPwMnzz9ccZlwBWHbW61FM69OrzqTuoB7LGwuv8z/8nnheP3tjPiHDE/QlD4/uXE9+dRDN1I0CsDDyPOUzYpt3+fhDwBbthDF/IQ6+BOmdIvZjmBoz3WZWOBTllBfi6tmKWPCGyxuYAmdWvVP9ZJmsftq1aAPnizJbWp6HUrrzm55lpWYDUfzZqnyz/tMoENm7jLd+eHsEz2CYxjjycz6AMGXryKO9DN+NZrBrrKem3xkeHfWNe3pojAt5ZHAoKdAmvWJ8F1bOYdNL8zLQRbZWJFzkcqcKX69s6m5TxkrzK6mledvWC1xgzutpeMmpM3u+oe8xDyefq2keaB3eoHyHRjvU5A5iCDkYHnCWpezO90RlDOPmDD8E8zQ96vq53UEKABa6NwtDDIczc2mzy3ODy9k9uQDcmKGWB5a31ZkZ9P6h2usDmrceMTjtACJy4X7YTfdsBuGCGTNTVPaxLDc0BcutK2IJP+atxaHLjhhGP4Sj31GqGl9bmT4m9j0hyT00+bnP05lHE23ztdw6gDZ3jQ66dTsJUibc1kHfrI/u8ZiNOAQB735wQAKFKMa9o7SHBaVsP1yytjKO8u8gvADn9IQZee4Deb0GhXpm8q0O+27Dc9Q+kQPGif/xnOjjbYJU9ub2gxqqmrcNTr42GU7DvR2a9Lduzb5gdjO9z0oyzqdAxBXlceGwYhgeMawL2EMihT+AbhigLmBVMdqukK1ZNUui57UKrntjRizccCkVm91rre1QykJPmacsA2gC+napqAXYbzLwZuNGd8H6vK7j+STM8f5G65qFR6Yj4fCH6aTSOPDASAwdbOGlPlGeXbDetWCTiiepHoK4FsH1ugEFeFVuwAV43jcAF+x7s48uHR++N3T465Pd9dOM2QrE11g46FVBMU84OlAJfU945M+VgJvpMNMcpt+j3l4RLyw0ume8ho0Hj4HTD01twupsnx5acaKPo9A0FxbryHi6eO/rKB8Oh60a4wchkNJ5pqwYpztCB18aabe3b3kWeHdY+fmCdsbG6esZ3X6XPB3iKew1fc5Cwu8V737o5ZzyPZwO5gZHQprapjy57VOl0qI/b5Oih9AKET1f8JA9rm/wAnOfVzIp5wmym6YiuoDviP4t+PVJYXDSh1jpelzyvbAr+ZF5kcND0MWZQNgDgPVY87vVHDiiUxjwakEzfNsE9SmGHw556Y5TD4bFPIkpsmR0tN8c3/KSwehKgRpAq1SG9xfiDZYerxk/qYzD5X3rStAy4Jvqsf3OviuiIXJOCef36PoRT+ltlwRznmejK4dX8uR8h7CyUS1XZWOblx7hNANlfAcw+JVym/df3sMBjPtpGbZJI3GSmB+1OvhZz2NRn8K9S3wWAEBk3BvpiZWsBF9QdITDl16XfU94ZP5MEi5WiWVUN3RnXjHABeeJ7ypPMn1Z0TTOR3l5eLLCdHXWcE8JG/pKPCNPhyWcBVjenczfdTjOeNuMO4y6jvDj6yrtU1zfoQJ52v9SPQm/h2eJXOZgzPiMzml9wTDktWvMujfsoNtwJSRfvWKy4V4xrrSRxmWx0S4wIintdJdqQMhiLWQcrNaGP1/RIn7PRsHA8sxIBcMwXOF3imKXdm6srZ9FFK+2Gy5S/UqbIoon2ZuBLyputaDohpt271hRvNkvIayxALhse/MO7vJ1M15SSC39LEKO16rOuAj0zX7n4nnu5ueMvxWtzPvvAueZx/G1HgA52AxNuVnaIn+RLCTxSptZFjVYZZbdnDbHQhz9lJ0G7qVslDfd7x7mcELQUf1H6z7g/iUI+9Kkd4rYj2OyjY49IbMiUNJvjGeu/OOQtv29lr7gSOlnFzY3opzuveFPbpIJEdTDmfABfAgVB9o02WN21Y+Mi9Tfh1zbbbPtm4huM0FZldEikcEinA7hr9WTD/UAYro6zFlJObnbG3PQLUvyQRozZ6J9TC2lUG6mgFwSrYrmOUhEyRT+4ZCOvHfNK7vdqRorVYLb4SWcOI9IeHTmy+A2RTPXuUoS4R4FiJmyrB29dlhYN+keZAghm3w9mXJDEEPJbq1isXm9pXAPPTwHZA7bFAwapK0N9+Ik5BjDqoAL6sxEyd6Zn62TAhaImXlwHPNOtmBi7bsdPCdGmMdwKLyMPmAob7leK5fnKys9UxnddOqfPqlbvwnTDpr/ng48cliZVS+2XgweRIaN4Ja9W/6a8rYro9pBeR83a7PjrlylhdY1RSzhU7vFvDH3WWFlfRgHJm2dDUVSHBsvb2GDDg4DTcjNTLUdCKhiwpmPGXvEAo3RNgORzBM5PB10eumwX7oldQ8BPSmIbEx6GTVYLMwz44I+PWyQznYwLePos3nRZsGE5Z6ACtqP1PE25ilkGEsE5Q+3HZhJDOb7gAHm31Jb/W6QkeZIEAZIYRXGwMbTDgvT+LngSfCKwkN3uxW7GVrdDvpO7a1wafN3MkDK9IBxZspIo3F9rIFRj9FxV9rVtDVZn3ZEK/6iwKaQS23KwYz+Knh+3iACvHp168JzC7dr98NWbeGnjP4UUViotiKAiGLbGqD7rti3NoBqByAqrnD1kFL2uaMZXmGx1zGvpWOe+txK+DTL0hBeU9GMJPhAtaAppnslTaiuuMiOT2xXPHXiedUNm1S8JzdAgNflijf1CZ+X16haet4K4BVuuoUwVUXUBUjsLfRZfQXIhsaLmpBv68zmzjbGl/lKp4lWTvMnG6/FeZnpsM1Pi+YQeBoFylWdMDW+eeTTHpbbQ7EJwFcUBP7RaVCcdW1P1U4vG40sdeSblA05eVvSDosA2P27suJRUzn+9Ks0Un4LgR5Cn9m+au3z3urhFg+AZhrG7TBM/M72gkxf3qWXp0SD13f59g/2qA17Wgr9ukghuk8fz+BFmuk1Rp4J3s5nHBrz2twtOl9nkA96ep1BLj1aW6A+MDzcJsETQnffW7c5nc1tbivRNNF5fEKdvF79uwaZaUkfbJjueBIEfQqtUY9eRGMx8Vq8XwmBy/UAgb5zGyv+a7S18FgmnpLzZAXGkF8Gna+XJgPvr+CyBZi3kggbwM86fdfRwIh6M+REl136XtjkJxl957MTw1vuv8FAitz7c6vB6MoVrsd5p0SfGZ9cXtDof5bdrCjVeaR0OtyvJI6P9zkrYDPsPHcIZs39whiDJa+eytlzJRy5jHyEc4Xz6Rz5xnjuckUwxvO+MwyL1OawTYj80vqUkCdjffm5DAZ8AWYDqBB8zifFNqXKuHoo0ZhDmrjAO49FPgvIeZbGOFaO6MfoT6wvKGIy7hNMTFbOFCKO7jQXmT+fYDght0sFSlqTOZpckHNNBimLPvInwWSFA2y2H/fzMZjxI6+vo7lqfbUyCZZpLTKMPBeIRvvctTWVy3F/DC8l5mNab/S9PvXzoIsO5bWgKV/TPADgnuOmjAWAvRZXVLrhbk8jilCHQS1McUJESrO8E3Gy2vOnc0BF5N9B+4pl28YzuUmTnfc2EKrwa48AeDSlFg2pYkPFk+xNfuzZrrKhVEVR9fDEb1LfLqXiaau4AiilNANesQ0R0zVQy70i4crPjRD7d1j2aB0gPb+zr4bsi32rvRgKUuOXAn2i8q1amadGokdy8HuCYQF/UMauaO60V0dAD88tVmV5zh7Ut5JLVnCHeb4aG5HFwy9veqeI/bgmn3gSfx/le2nyTVr8MythDwWxTNj7s8AQ9Y1tCTI9D3f+WB2IBNfz8sF9EvQfcWlfHQas7ioyhtkXNuBEMzCVofJW592DszsMlSvFrY0uma0O8pAt11JbHnYUzeMhtCMY3rArGiUgJW1krAfuRtvLTR8znqwfrjBebD7MRPKh0XQAJAt09kMbP8QnxavPT6tfaC4smdOG+yVf1MtPTI6XZ4R0xsZgZkac+mxMpRVfKowO59ZBX/Jmdm8/4r4fvaP6BBiedKv8EucJgKBI9XXM95DcW0NLfEf48jp0RnNV9zRJESxHXYmhGIcvC6ZfU39zPqU8nFzhd8YvGEEy5s0Ode7Qf57n1o+8jFrGuTnuK4DJi1BAJOlsXmXmMjFMQUmLNE3TvDIhiCMIBO/svjd4eYn1MQ3w9/l7Hp/uFcH91A7Laq15P2wKZSHJ+kF9Xu6fBovoTINsDPO6O6CJth9P0yXtSU5/ErwAgvDmbS/ouwJDQdrHng+1D+lZ6DNcaPY+oNN0GdciTKS2lxnWzRhKKvhWFuVSbZ4p7gkr6qGSCm/6tTi/ULWFjapq9970+qhzZs07T5RBn5xOSeJFQmYGdsydXJ/3Mm49cz1UyL14rd/989otl1+X2xCqezKv2BbK+YqiGzZRXLXgWTbcSlmTg8wbJGW0rwGmF8kAMdSb525pndai4cDQyh7yOnb6bW2QYrbt2TLnnfYQKh/qXm+lXL/xmf6d+L0jIZ6NvVz5DExwTWuN98pMk3u9rZyMPE6n1/PzReGkFm3e2cLepRckowP3lGjHFcDn1EeSVvKOtZPbzfnu5bHHL4Q18N8HdWaPx7dKTDZW/cMJzeesRgMmmp8Xe39+Zz2eKmGnzHO7gWea6haiFyf1vhCnS9qd9xOb+wtmdvLGWCiwM5/eDHkxDGCZdlq9DJvkZ8cIHmPa6S0kdq803kFUwr7uPBHxAWdTaKl0uZc3f65S2Fdok7KDc4KZy/ieVxbvU1XBey/xSgxDgLvjn5W+sYGWR4CgQ8wy6qlYk/n5PAeNTwOW694NCHu0maAAPiq3AoRxY+AcTbnpdD/NG/7N9EEwgoKY7KVEQ81w09JKUcKfdh4io9+H/BKvK2ojnxMEWWrR5j0lJ6czmmhr75AWUfnjMyOucN3mir+/mwgPDp/Byh6fm2df1wH4OdvZmc4EIM9hpE+V2Me8pun5fZkFQwFbRptB/lmUD2dp1k7a25y2Mn2XjpTVlTa9Ur4rFoDLkeYVCxmRlKxs6c/mMvSsG7UMg4JIL+QI55jn1HQOaJ9ECxlnyzlouOh7mwiwlSYvXsrePGJdjqzY+gQyw9za+3aTrSlbRVGguEjFTSpqaQ4RWyGl9Z29baIVMNyo5wn19HE/Vo6et/nlSIewrVLat8Krg/lgehBz/jqsdzWHFrhZRao5Snyeszo/WsJxWJm1fyfPu9DE79LbJPdmYKabrfY5rZjBmiYeESlWRB7dxSp2mfNi81SRbjnUQliUm45npOism0A3qg84XHSN6IvnMSJhuFiWqYhtnhFQ6j+Heprudg3I6PuOEfQqTpzGpdN9Y6xUH+E5CKUEysSMGXoOiJO0G9HjszsMo+VhBXsYb1OyljhujdHhO2JTCGJiaCaGAOjegALZFYXCX/gha4CzzZuya2Tg0UIfMr4dDzRvYwhBuCW2WbXp1sLgVvaIZQYViflimaK/r5c13jl8lD+3Td68uMybrLT7g0QEqIqyy3ITdAazt89t+bxiSzZ7hn59oTivNvA+sh8LB5RXy7DY9vENHuzNMi68M6GS6tOnsYZ9jNi7CQjvy3XALxjrIHjYK+FdhyeqXqhvLODbmNQeSpjCLjdlzhovq3Dp27PE/pK1rfUlMPFqbWJ4cW6jbsOvMfpTyCCGB0OQEVNYV2BclqIugAmi9xbj2QwUh7fz6IMLceQVXOzd3iYjrx8ek4BDZoiBZk2pi7zcV7671hTFFWEO8jwoe39P60dlzAfpB2igueLjRHdkOQ1gRaUMfLa224Tck+GP3XMclMiOr9UopsR9s7Z53vlYDLyHkKuG/xwahvpl4YX0yerrdPQ2QqdrUaDK8Ars3qIeJo3oWkk8yMobWLoCdjojFuqfMfmrPayP2X6J99Y5DuyZCRJVhg6s48vucKuvFfU9MomtEnRuBphWAFsTALet4tWlh1QqJFiWiuu+4bkX21VQ9w23Wtq9PkRE3LJZdHmHHoDJoEMFwIZ5/yd62e7i7XwFrSfrn/R6wfRVaG2TghqiwKYom+Jp2/H6csN72xWvyg0bKr5wew0A+I2v/3/4hssXvZmrbth7R75u+wB7KXhTL+3eWDQlbdXiFuAKzMYatr5r61O5wte4ln7mcWv56gZX1k48now54ft6H1MRdX7M+VmCgT21G40eE8Ojjoj4neecnP6mFA4D2drZ+z0TeKvfecitRySpvR8Lvk+0e//1PcO8qWdA6bPCI5wML/OOl2J7jE44noweAcflsk16z2XY4NL3RL+2Q2NZHqvU5rv0QDrCVV4/OR29M3rd6wgGu7mJLsO418uRspAMCcLd9Zw8OkOsf1Vfhn8KtYc4l6d6sJ7rORRw6A/RHzZgiIdeCQ4d9WTlIPOhgffHjJpJyQHEveNsnB9IQVHZx+DwShvLZqGIS5IZvVLp+RA+x3uMA/L0/PDQrQBxblJx5+8irCVFYgLGvuq84KUrYS+yvG/er22B7R09j7VbNO4HAMJBNvIcVIrEQ3joAqHLXIIwp1jxN405w3tvPlBeIA2BLL4f0RjjM7XxZlzGInKolV/t6zzOBXE+1Fanbjrx8KF45z+zD8PkbZq7dUBLQr7MtwqNOcsANi75kLrLLbKL8z1rOZvwAOJxuN0S4Yn84IKYWD0YuGBlqGaaaTD1CEQAPEJYIDS9X6GfXIf3j9Z/79BaQSd+DuDylb1PuEKH20Biumj9zBGmwvjlubfAu/NItsbT+UAwKlCCN7WVlUL3lC2Zv+ey+blQ2742iNc3+atO0dsw4UOAJv9bNDGGez2tpvMQGwthD3nGrSB6ONpeenAm4+AJ2nlBb8vnsvayyViY8Rb2YporvldtaJG8Ssov7UobFIWYkbcKagVKwYgo1Ks2RaJ5vVZtBrubjOciikupePbfHaEM1I4mq5usRDh22ZH2/MwT+O8Fr+N01s5QS5wGy2T46NGltq0ZKz+VHa/LjqeyY0P1sMRPYh6yiic0g9432sIRF93wXC5ABS5lx3u9iddbwVUUb66Xppgu2s8k+7kWz6EOsztJMKh5X7H5Zc86PV0qA2kIVuv4bjL8G5yEP2YF8kEJnyUt+SBuYrXX+/jHgpLng6DxqTUyTMsIOSt6Y+vFZEajOVakpvzWZpYjM9w5rWhAmuPL+nLe+ceXPb1TxH5M013G2RLlC96ld+tfN/Ai62KZ61mFBWoKSx382x1m3pWlR8zHASzLurL1sxNZRlx/zd4A6Z2VfRQ/U3hnev6hrM3tYNfCTp/hxjecKAyY0oaFhKDc9LwJD6TAXDKRj85ZYBxELOpgQX114DDj1DY9mQ6cJ6FGYrkgrC7aP5yrJEwEWKn81Dtrp3T757QJBcU2cEwDFgzGusGDxFOTNtYAIxA27gEggZDg9XcLJiFM1TxvV3OJmAefAqt58ULasMRteq/p2Qquu8+JkQ/zMM+nF3NcuZ2FtyQSjvIL96qNcBjNfRH/ckdA7CAewD7yTgIhgXuKAaZHxGDnPMr5eWyYBlCbY85aRIEElylLBONQo/flcC86moeL9Xevv+htTcLkqt2VIGawLibPNDdW79P3QC8Up4derSDi3GnTshXfdCjV2HjD8nQct7XavEZaPzVGQFjQLSANkSggskS5ognR5hm7lQpJmrl8T6w9E+n3blaCSTCunLiz7FeJ+YZpX2S6wsJS2O81zDMpirLVdhdut2ZuBwaPw2TlTHdZVVAhrpy2v5BWe7o9euneQevlkOYdpQXtelH5lNhI4H7bipVi9qzu5Xq619QLxvKwinser0dCsb27t9ef1fsRwP//uZRpKxbfD/JP8knmD/kZ/z6r/wi21TuulmS3wz2M6N5hHqrvoRTowSynrOSWOc+o68V0Kddxlo7wabJqkJsW+0c3gjiU587gzkomORunvke/7XpmXu1D0OhHU5MjySB5pSDwE87Exy32sGXKskBnINk7dhU9icu7rJLacDkm8VinMNk+epbnUVpv8z7Dayi7Nw9kMVcEhwarpzBbno9qL3lUBgSvsz4EXZk8DFXo86zJ1ZwSujboHshEg0TXXcjPA48p6bMD1AwYEBVqSP1hOaMP3+FYGJ8ahCVMAC9pamrTqjqr58X8haTPVT0Lmh/6+4hM/UKe1NdapkN2PrCiS3faHQCkz9XrJC+6EpZlVKpj1adhvJCmwIGcIPzd8q+UPThYP2R4MIkoNnkIj+wNC5C8quLKWFOy5lDEB90I98a6nRPJaWMNRlwenq8c8AJHPPihXHFQn59tCkLY5SLjftgN9r0pYUu3cKtS8YQ9eMKiADdtxswl4WvaI8T25QG3R5GjPTjvOQz3KS/2NrLjA+mUBh1duXFWx2GmXvfKEv6Bcm+jmxjOe/03OSjJ2TnHh+XhuN6Pal//EqZ3itiPYWpWVxIs+ZcbCfpCyETW/mxjok1yuvtnRaBPNm1R7fcJtsxT+GHhxWmWWL3CCrASgA/fsxJ0hK4du/gUfk0B6RxXtqo+VEpLLG9wBmGnjNCHR8KIHdADA6f2bmkdshJakPIxXAqwVwVSmGBUUmxbMe/zuo0mUI56VAaePWQJhytO94zp1vK6JVvfFDOTaR4lpwoA4TFH9Io7mH/D6i/CVTdSwPa+1Cdx7zffGPrm3fKOO0GZUXUG7ACOuo2KgoclCA9i/V8ocC5oFlzmvUfrIHvSuXXgAQ4FQLV7Qxl3XkF/PPi6qGTqa0oVqK803CMCDjuUGcrkTdnGj8bclk4dY+JCAveTmSQeA8KLMVvurYixVtjDzvvHOLC6vLwOIZjadzqwd2D4LpU+J+qlzYmCwRCzB7uvkQKge+jqU3/G93763BntDlqY1q/BlplyYPaW5LHwu68WXKc0j2zcbG3QWupKYUH3JN8Q763uhwl8ILayNhYduAwCekHEVS9j9+xOYYEAt9SU7gVra1oMB5TqhsHx2Dqn+qxNlTEmvAf52rdU7BpodQVg6Z7f+tThuqaxKsPLLR8MOOwKyHODqZq3arLwBwy30uYt0yLDu/1ReaPNwYOj39EpVwlTXurID5WJFuV1EtYffUJ7E7z2zfs6z89Ej4F+Hw/3Twh15qGdYegkus2JwQOYR7/32wr179rDwfm2uim2p0F4VQW3vaAqcN0LVAWffK14vd2AArzedhcaLbRU2XbsVVD7nUCXS20embXR//25uYLsHV/lmTzcbZ7boChG5Afj1SiyhCiaEZaM39G7sP3tryLNNGWwW31fFE+vdnzNe8/4xNMNr7bWyBdur3EpOz65vcGljPBSq1SgrnStKnizX/DF2yu8uV1wqwXPtw2324Z9HxNbqrR5aJ4VQnQUcT9sQ2cRPaateIwZ00cd9KqYdni5gSbcEV3y953HqpfhpWpeHfMhYOKVaPwyrFKNPvfNCcBk9KYj3+Q1AFpDLgCntgwPSmW7ht35RGMigKFwOvI4DLRH4zN7RbJFjuDDfPj0LO3D7V16dDT471JId5UNR+8FQxZA8sTW8f7eQU300OAxP5lzKU+AqazzzuDHCXNXibuYc2MPFkweoY+ktEdx8j3QaJ5nBuEj5mdZlWnismn2QNZUDkCQJS2xEtbH2JpNUZJsbhjYXUnp8BaJ/Jv3Yb7+Jv+eeEh7nvhEhiP386juLBM/oowzGVIvnQ82Pt7kSaF2JPJaxotYmxme2MH46SFtnd+U8b52gzPmhexdnifoOO38tlIbVh/LqnpUZ8KJKIZ3G59xKP7/7P1dkys5jiYIP6BLcbKqe9bW5vr9/z9vx3anuypPhJx4LwiAD0C6pJOZVV3Zc2gWIcmdHyAJggDxwSRrzMN6q9v3fv+n2EQmIdjaftwiWg/h67JfOR/Bz2LNbd5xOa6PcWtDKwDal11RrzmvAMNDz/Mq0L7EIpvMqDpL/zZtzPMZ+4y1qls+Y0F46z8rXhI9MK+yAJ9xU+fcKeMXAJyyjLXwHHkdQBo/qSGNiW6PaGE6risimhrVuCKmwJ+66+0zPyYXc+/tM03a0BU2pk7jU/GVSbt7lZLME1dx7GDwtl/lQRk+oksOZyda5GW3yutdnbT3Vhm6yqHZqMDWernPM8gD/V0qEHkc6ljTJ7OPc1/COkdAzBHDkM6hBBMgpwMNMyTxMa5wkbJJ9w48HgdaG5GUml1pc5Bi9lTB2VvqcL7CRtFax+0GnKI4H0Pu5Ihe1SuWPy89EMtaYBzls9BlUWzmKaFNU8jR05U2d+m4NfeCnbmHZ+wDpzTc9cSXHvg6Dnz1A7ghhWd+6DGMmDHune1qNMLHwqITxti1+TrozuYMqa6BGPeNaHupmN7R5ULfHL9YdhFgmZN4ZptgOvPZrPlnzyqsgeO13I4eA5NPrgRll+q41HGVvF+pnR8GznEUg6qwBYIn3jnEXcqKO9x9C/h/bvqpiP0zpg3BXN4DUzgqCL1NiuW+reX9Dg5+t0N+hsWzcbk38P9ZaOEkwD9Jy/2vC4GSIFJ1gb8Vq/xH08IpbbJsDgp2d9cAxGgQoeUy0acX470Ix+JMnMzNu246Gxyszypzz0qQd6x59D3w9yn6gOgDeyEmhYwDRP3njXRROtY+iJqi8kqimTClOiyvAsmKK4GkpQx9ujBU11Y6sGEwKv7zM+u/WphbhyeUsDSOqU0vHhrS2XZihH1IdvDUdcHjVN/Hgi15rzZhL+60roxnPcdLOGccXTCtdbzL524dAuNZLzjlyo9gbN8ljEx3L2hqmn8auwRfokOSGeyCO9O4QDMe1PygOa6MZBnLaNqYvjqmUuHBfH/JbxlsCQZb91t6s5k/dQVlZ0BynjjA4HH0sgCkyXIIoDWcqtdJ9SVhoXjuP0uJHpQxuzpoiKXqY0WHTdWQgOudFRBsOybfnyuN/w53L2Crhxzb/ta5iXGdi7jfMs6mdUF1ZA/NKVx7SGG//1V1KhmbKFTN2tlKcugpTgIMob3p2M+P4RnLHjYqyEIjjeeyDpb9HnGohjrW27Gbn4F7AkhT3I6O+3HGPT5f2gY+H8BhiN2ZQaHfHYJTG04Mi+YvbXjY39nbDNHsnwbj5UHULgngd93XlIRar7viLZ63tewBAJJF8Ztw7trY8UQJNsb3q3YUwd/Nw5MSMebdtKwtMfhmRZeyxLN1LBffueyz90/S5cHIz/Rj6cUYLga9u/dv1pUL5vzbw5Wals2+tM95Ym3NMGk/fKD0W1Ktg3mGd8v/4Pr9EW+FVUakHzWk+I/Skatw+5u+JyXfK9rg1TyD581xW6JaFVp8mV/mbzYyzlFtJi/CcvSOf3kOY/69svgKyLxOgdsKpb7O5zXcbPxVPigaLAZwFZAfhD+VL/KI5/+Rs4BdvbtupINsfl/butprC4zAD/AnV23V5zQfzv/s5P36PSXm51yG/y2wXiVWDkHTWFR2u56LBx2m31KexfBf8KspU6UrG9428Wy7vM/Ghfmvd/YLkiuYr07KLMlzl4xnN7j3TAFzOad1MPkVy1Dv0qM6jzVd1RFa0v2rJAPWMa7vKzyc/xn8tK8IPdPS95D1ZeBeut4JWM4JFwWlYDk7CnDV/0YG3hrdW7SrJAWuy4suW3pXRPxPEXfT1rHBHLtFzr5K74zlu4nOTtkjtqbDvGHjt1nxN0h4zt7lRIeMu2WhIYNGU/Us1q6P2Z3l+fwtXSy8x/bc4rckG/84D3uxt12d07xSwv5D0jNZjtOzPFyHbp75o4uIHukakFr15WIr9f/ePvwT009F7J8xKYZFmALJktUVaISQWpSr6x02c9WL6nzvH27F7gc7QkLthsmZnqpWvljKprwekvjcU5h50E13TuoGDofXn5PlIAtQ6cDO6pqWQ3kV7w6fon+g+u1LHddtfy7CYqz9zv0Kr7Ng1HUeuqW7eBFj+ZJR48TE/jRPULs/ze/ZZQYmKWu5ThcizLN5JzFURUp6xjhneFwPTypxHhZhowIt+NHrHb/cBxOcu1sx3/yZ93/elzHvE7B33l+3iMPEA7hn5RBV8lw77H6/Iox5SAJO6Z/dvyKC4QHLAkzxHEsKC6+M6cCO+SYQk7coRt/6TWa+LmN8rH9XnqMDb0ZlerMm3fLXYT0mmXLr7P6BuK8VSjAbXiVBu41xrgx8GsNFwrO6GqawZ9/9vlOfYxVq0xnLPrzckxLc63YvXCenjmeHKV49P8HGFvQMp9r4jDFQutvQ+st3K7mSyBk9Z9zVcXLSjcyoy/wksDifp6QINUVa+wK0zukrpqbAoYJYL9GHLkNYIZrSb4b/T2hXrEtiqKunWDDDjAf+nizKfe6PTztsO+YdOst40O9RfvYFMNh53Xo+LX1yem740++INpM3LB+OUb/qmq70UhTAOeke520PmXkNTj4ISmNWrJh5HFDg8jFo54SnWvBH/U5jGyL6QRwmfhvP/e4vcW/8ptmTnAZ+jrVCbwaTK8e7QE6miRpe7nLYvTNdxp8K+jmQni2eXbD2sMSc+P4f7+ajNzzOjcQBjGgBShEYmk7vxEZ7ah/7m8+T7/k74UZFzEsG5l2hhucSdbaT9gzqgh4KHKOvXUdfm+R+fukBdOD/efwb/rf8MkIQUyUdgr+dH/jSA38/73j0A397fODrPCKcc9ehkFbyqOc+O87FPNkBpXsjqc59pRc+bLEOJ5yY0UzsPlIQrWePFyCtz2ShLDJ5rRqJJc2FzLL+u85XXbtOGHbGi5hwebv9kOXZeDDpIsOYeObaNub7GslFoBEFY3tfUE2x1om/8btuKy+8q+dZ3cAW93+mN9PCaF6/q9eoPJN1nnrF7soXmFjRP5VdsuS5PKCqvAs9r0a7aR8kPtO94N9SbDLv5m0wbH2fPWAlHH4ms72D5s+uHhpeZLtCmV95duBfZTe/wzd+CyKiEkdhmHMmef44HPGLDoasuzl3SMYYwQaYrM+8ZMCywecyd8mbV6Y3r98v7xFT9IZ53uBeZ86v+SePz1V/mdTGmObBZ4Xq3CttTzJeR1RGFJBSfJlHgi/G8AKe4Ofqc8156wF4zIsYz1IPVr18RCaZnU88J88vj51/0hqTOrYWpccNb6PeBZfpmbdbn8tmjfYM6w4+Htu07xE8fsfvjpeo/D73ITwdOWJYjKPTuY23e0mzXTfo0qUfSz0Ol/eD8aDUG3RdMCNa9VKP0NQU3EqJ8CI9tnYDVzrVxXSg0gQUfAsPrNkeyzhp/TrqtvyX+hV0QRc4etlb4/1Z9678OwO/whNZG336Om7WYcYn5DqqknxBH8O5ZR+OApLXm+fZOLXsPDav8FXO3GaSfwuuOO2B2I7vdIj7UNerYhjUdkB8f0oRlQC9K/TeEz2Ls7OiVAUww/S2nmXD1nGzZzgPM+YdbbIS1p+NK22G9+2QA3Wcn5gBb9yBC2Qa4V3c4Q1NcD3P8DLK76tBtOF14H0D5NZx3E7cjxPfjgc+2mOEH8aQGz0s8bf2FXfGjv6OAb3LGZGWugru7cTNLiRWFROnRoSp1J0uSVb2O3LjXMP7I/SMZUMfCuG9C0EXXF/BaRnSKzq7e15pm67zlJS5F23seLf1TH02yXO8gFT0KVvnvcoDOJ4V/jPxhzUxrCzvczM1AuSOr630055tHfN2c/BiX/xnpZ+K2D9jKozI3DRNAeSLomwwlylw+VrBumzwVQkKxCHTDFmRYWAmch46C9rDGca8yXKZ2EyIuCalanJrL6ufYbA+JsWmqik3NBEUZo5YGbkwowbX8myXnr2rKeZX86ZxmiL2JpNBq4zpj7TjRRSFyZG9EhZzM2MhgzfymGeUOd11sx4gBG4QTsZzifajvB8kOyPUcz0MW2K+HFeDgdYIOTKEGxM8kuILc70Ykw3FVMiKmuKMb/JxOG0eITm0zDLwpR1nfjyMw1WYHUzYJ3FY5y61w5+VwQUgjZCqbpaay0w6YukYTPAUDplWIUJT+Nz0mxlGnGW8dbTNYZyfCibRQOmXM5NpXdP6MUUzM18A0v1PaYN3JjeNgc28j3elaZwCn3TSFcYtL0/KgUznNNUzvMt0hnXatLs9tHyDGQnm3K3qOXSU5DG57CvjAClfU+imbsII9TX6X8PscFdovbzsE/Ujxq6OO+WJde5wcChYb0tLec9iQkrQER4D3moZFmAq5VjYdSVso3HjsoQOi/DebSk6nVPJc+ptAhEa7dn4VdojKGOIOa7qoW18rJzuUvkYyxIGJ8Kvu7BnBh4j5BqAW2VMdH50W1T1ANDDMzN9sHUozayUTRnmHrANmEpYL/bkdMvvufF0WEgq96L1JNbmEPbnfcNhGJDo0+RPRHXQTvFw+DN/hJAN/mHMKQQ4ady1T9qVDo/MwGhneNq1oYuia8Mpiq/zwN9xx13OEaqYBOu/nx/40ob/fHzDQxt+Pe/hDTsOJIYitvt+XQglHxA5nVWDtR9I3truZT5Des6rGarQOfFzzPHVgR6s/Ja3SnRUp9d8DSfle0w3Am3zxQeRaS1Z3Vd7xu75pC+cj3CM+eQNf+/GfG8JpVzHLn+inzYW9jzaSHzG+LFV7u32p6v95Wf6benF2CbDU72Yp6sym/RSge/0CzpDopW2XImXDpvcAAP0rNTrzxdl8TOcqmv9Kk9JVU5cwqnZWIaUcDEPT0Muv7ler99N2rcz9Lgsxryq7+eJf5JJB6LCmc/l8+VA/Y22MyBU9w+kRYYvdW6NCZx3OubnoniVArxM/iwUkht8rrCx7OYwpWdpsLxemeE1C/3c9rXyapaPD30XJcU7qeZzhZ4UvrOkNCe0517Ok/MEQMbheJjBSRE3dM7LUxg29S1g2L47eAzjGet1XKCxrfUYH8CGZ7u+VtkmHRnQ2loOtDf8xDXuy4IDV2P0TN5i2rAYwypmaGI/z2qb+ajt73B6M171/LDOIy+lJe3wjfnHDb3z5Zg84um8INEFHzOaE3X+MwiovW40PjweV6BLXi88notx/qZs7XPIYTzPtDbUZIRUZsucrrAzP75TCF0pieIdwcRkelFIOb31B9UIGdiuyTi7MSBcFvdrx/RQi1ak+/HUvTK2Sb7ztYkOhWNDicKERQmb6gJmWHeirfu76d/AH+dFdMOLYM6HVnwwYNJzAeRQHIfifvTFUNn7dUBDVvR0WsX39jD5sqGLLJ6wXs/WTo73jnCgKfRFMGWeq1T2QfFy1PkdD/mMvuwUpQsvEmus4M+7PBEyTi8R5p51ubb5R0QC/R3ldyGI3+X5Fh6u7utrid8G5B+Ufipi/8QpBNLNuxDyXGnZkQmPEILrLLMSYZ2bqecrmdji3ZmvcTBm96Q6A+ZZwupZFyKUmO/dohHQIeVcbOziXglKgqEcBEwl52gsKXhr2jFqwewUxbSsbflccf8Wgc/hOst8bEAaQoDmUFKVaYq880G1CAYMl8KaWcJzhtsKXtQ3j8owlfEJJcaTpCLkZcqbHNL4VOW63++WrJg3bdUDVDULMmYgwkKQ+gEWOCxs7CKgsHDsuEfKloX4++9mTJR7l9CGFwqW4imb+lIZTno2FS5CjOiov5VNOZgBFxxu0xs0Op88aTCUpHbo7IffadwYVi/DB+YOOzAUWlymgw60J4xJUNNcP49xVohu4JLcvpaxT51hYYrh8cKCOCicTB+FLnbFHVmvB57y3cPWRrWErp6VUd7mZlFg+hh074fkLvlcFAVcDFGtRwHt5C1ZGXCn5+odQAgni6cJ9cs9kH28HMCYz2ody3NHd6gyw71NBG/AzocCx6yPGXSev+55Cpfk3U1K20rGiREOoftwD8U1FOvMQ31Pcz/X8jIXPG9clkkI04d0AoqwHI/lVXAm7k0uOLMkK9fcS5HpA8MOek4Wqcta87lRDI+BjuGF7e8A4GGTRpEIoj3z3l/u9bqPOdWbArfReTnmJCoRCVfM1gnuKvjYCJoACdhWl9+T6kpYtefN4Gu3hi4d+tHQHwp8CdAVTWTcP2d0pLFRC7DHBYw9U8l4yOlLXePtJA+fw/D9pvPeI+uXW27fpJNlc8PX2cYdQFB82Vx+N5Hi0Q/85/mBr37gP76+4bMf+Pvjjl8fN6iOO5EeZ8PX14HzbFNpDpl0rex3vJ7jbujq/bOxcE57Bo9T1xWfdRnOoPtu5BhZg49STBf3nCfxR6F0zM/3imDJYxAwZ7hS+US/rw5mBMGbOg2tEWmCdu2JawrzGg+xHHCH96+UcgTvTuHh9aVPf7cZk1TuZ3qenF8uOMjprWtMnrwL3NvUv8WdTfnYo1/w97OQYH8yx40XOILZushO45AOha5wMPUBsQ4vwdnI33XNvt3/pXKCheXiJ/P+NMnco7dyR3i/TkPwqaCUZa9iPiDIQdnb0id4DtZ3u6QRWWDCzIa8wSvVrpa5DkWLWPQB9nwjWCK8pfP38RwBR+QVzAFFeb8AVPuFqczyPggm/y0bZSftgVvlKwp+sQL1nfGWPDfC/Ad5S8F5k8LrzbzGwzlesIGY1897MOd5JgtswI35sc80Zq1Ud8WLkDE6h+tNY0wKtTBKpD+ORBPrU7Csd5bXFZiRQRz3gMnbc2eE6t8NBH2Pu3zJgFh4jhiPCP947Wb+x350i8/kRoM8j4Zq06twjsGsZ20nxo/yLnzfho9w2XlX3w4XtvKs5y99qR6xMTeV9iWahBkp5LAzQvYGY5yhvkR5NwjBXApunDnPcxhezWdz3KdOP+sc7MYAGHf1Mu56d9Ockcc3P+f66r6iZYwY9yxPyOuY7zx/9J3X8jIPhe4qhkKS6eKBeWZX6E9KKvDoXmLANFJWdwXQW1xlc9d8pQ0wFbUiQzH6aB2Ps00Z8+g4jw5FA27js9+HIai696ePF49pXTc+Fwn++RnXnfg4JUPuulfAcG0oqW9Hx+02DHNvbTTyvd9wlykvf+mBL70BCjTpw8BXG04IvvoNHWJ5DnzvN3z2Gx46xu60MVT7C9h7nk7WCTCsvn9GRM6LvTKKFJ4pRavUXIRxeie/jczTYS7y1jxsSFtp17PkcuiT/FdnZlV5uRu/5BgVFSLvyTvDwfJoK3c/83i9SFf89fb5dv+7APCfnH4qYv+EqR5uAhNhLy3bjfAum0lseFSOy3fOMz5jcTvRt01/XMBuzJxt4lUZO4SSYY2SLkPHujjFvBpyyKC8YDjccDrE5npgMPAzVnz4Bu/3elYG+MjE12GuQp0KWdlEnZPJGndDXngdM1yK/SEhwyQI5tbhSfUwQfXxVk3WyLFhEWPiSth+pw3O++JfjWt2YWsKX9wm9kxL6XcNlbnbFD30RrxXxzXMsKFNyEOMYKexGcoVmXjijMWh64ZFcHj4y2gzrTvNio2idBtzSfcWGMMCwVBE9pF5qffwzkvqMySHTBbNjJFU1HKm/8RQZrBy9mbTa/D0u85QsWJ9feS7POUBiMpQ2t7VwkPKbMvHzpjvYMp9XMi70XXNAfspCd9ceQUX3HX2eWHmFSGQOQOUBArMd86gOj6nqReqo+JEfaYedlUWmIaCY6yRROdsnGeI1VlXKOmcqd1YsrL3t4d3jjnu1FXHjaQsnusite2HCd4/HttObcmGRnfMcEH3yagFDjJOyIR/y4hd0TuhfgKhyBXFosyvwm48c9h19KXfkC1kGU5v0w0TmPb4O8eTWtbzVOWfj6GOkLKJAD+cltk9ptSW31eT6OkFz+iC7javzjwBj+FFe2zWTNQnM8wP94/ypO9Op9TOOmgOEp2yPImnCJ7B1/6olI0lBGJhATVgBwTdD0HpADGkMheGz9HpcTCiI/zuTSOf322t1plhxWx3uVJH1QbOFZQjzO7omN+J438eircqYQGgNVfWnmhN8HVv0G8yyF0XdFHIOX6jY6zTB4KeXApliskTEb3gyWVL2fD0uVmo58PCX4mGFfdNOm7txN0W6adtih/tYTSj4bu2cQ9sP/ClDX97fODRD/zvr2/4Og98nge+f02R4+s88Pg6oA86KXG8lLn3Tf7KumC4ZM2mw5jmYcXI+Gc3PnD0KDxC5XEDX+t4877VB38Ve1kZZzjfJfRsA080xHvYwg8RHjLMINpa6+OxDa9+86o2+CDZ8M7hcv6C+d2ot/aBDwEEa2SaCs9ubmqdXM5guDKUfCW0/x+fqhfpNs/8TIYwHVNuIVxYrOjdsBW65Hk5P2lvIjwqPNDIO3FtUQ7u6q191H0fEs9FbVb5cXs9D/FOUW+hL0veK3gLHWFaHQfaV4n35KCDuuWxno7dBvZd3iQ/Ft5Dia7wITHXlZSxzm/u5n0zLgusNRU6HuWZJoKiZJWyoeQQRFSUMNCjNbIoO5LyRlc+M06MrU0zvvXQwimvf6/8V92PMPfFKut4k0vSDSoK9a22taP7TDNorkI2bQAOnf2LCFeS6uN9fvBjK1y7xPjESpqUNust8dWY75dheraGnRfZeQ8VPiB4Fno3ZS6dcq7v47v+Ms4dJrMTnGk913Xzar8FkJR0QSdLnWX/njK4GWzamQpVOaOKtSIb1rqoTJpHz0fex/McUkNO0TLmUp55ChwjXjrxl2lMVpoV87db/7HWdaEF+ewIc51QX7iBpBB03o7L6FyrjM8ht7LSTHS2W+kht0o8ZDoT2CWCqcqYQnOVFLB89robWwb3SgntX4lnqOWDRvt5G7dZ6TEIz1VjrFkOTcIAAylUr+P54VfZWN2KEUrXvCFOCH65iUVf0lBYeuK7Y8MgVhToza5z6eg3haKPyIgPO5Pja4Y6XbkFhHI1zSXzBtC5F5pBvytjXb7KE0T45nguinZ0fNweuB8nbnKiieLRD6ABf5HhCXtqw696wwFFg4QStmvDlx7oEHzvN1PEHvj1ccfXeeBUMmouTi8pSpvDt1PG+lxzHxh3K77XjtP6qHSL6/fnKbIaJo5dbmgXacsHF7i8/j3P7H/Xoep3ylggj2HK86ILrnNY5mFZ63kfW+TNq7TZm19eKVLL/AvIjT8VsX/WVHBn5yafLGx58wEmc1brvGDani5ct8TZEKxRLXMTgDL1oo2CN8uni4m7WhWOL6ytI68TBiJYvPCXQynMfEH4Y+PC0zafEhSfHg53WS1/wYRfh/XxVViFYKAmsXzrIKTJIEh0+MLwvZXYKv1CGcqHhjlM12ZzY/hVludVOJQiwNaD00WId2bLOTDaLJ/2mxnvhmHR5vAtO3KBYfd8dKoAPH42VoLs4KB+5oMQC3dLihlmSJdDZVIcSVRs9UDSfTnp3t7N+q0HwcVIa9/tOnb2LJT9DRHGOB+iENxOhyTXkeqk/HBmLNbMHsYkbADJm3MwdDo5O4IpcDrRmAlrHTc1YFhQenpHg9KSc5rE4wMbP1cwyQaPrnCyjoVbyhJsIczSniEAEgkuDG4OuZpptU5QZ1so86LzXTpU1lkWkml74LZ53ne+18vrMYF1CYfMTe/2S14HjG+EU5KEYd8rdVoS87qtbRbP6AqDj3eq+yrVNVbxnmAPJWx8L+1yn6nfyyGQwyWl3BXdIHowDE+GlbHIph7QuCkQBjHq41YQnhe7d9XpnR9S0PYl1pCILvRLMDxFh7Bp4XiBcf8NhmA9PEWPEKiP1nH2GWiJt0tVGYdUhw4DGTeYcgOIk+go40qhcbyHJjqils3WcffQiu5VcdNxL/G9Q24d7dZxM4EaAD77EI5N8z0Ea0vuKXvICFn8dwtB/Ot5x6M3fJ0HvvrwoD1tjlyQVvcO90gLAf9mMch+i/XsAiB5Qe3yOH9V6OTTPQyoaJPy0iTG3pn314uNZVMnHxxOgR1wJVp4fD+z+BVghmjet8E8ptS8F2MQVvIXUVz4YH3x7LP9++10MWTP7h99607P/5OTHcC8PUrPeBCv8o88xNjtr1fvUPDz2dwXGnklP76dDNcu5d7athfbbSIXa+yKF3ulNI1D1AJr5CnyGStDAezlyt2e7q8ueKJV8bjm09p+4Z2u2pxtex/UeAMi+rtuVJmUYRGJsbry6GD5ypUf0zNWZ79NqZpPY0uf+BnBM3idFU+qwe+V8iLyw/hON8TkZmSdN60wXc1b3YDLmMS7phPV1HgXkuG9zUVWBIbiQWTyO9wmVRF9qrzQbmyXQsD7hBCTz96MR+VFd2viUrbEOgaxhjxSGPe9zc/92psH3yxzbI4Xcl9oruoesaxNq2hGFMi0pNbnnyoIxVoo2XawvJNYqQhYFJcMh/IYFrjiZ+UTN7ShNJnfVfzH7GsyPNnQ+m078Tn6ow4TzYuceS1DEJGmHF9quPSqfA2Z9wKMRSbktjxx9DIuT2sCSo4E9rk7h1jwxCoTanOZK8/W5/ulI9SfKmv72HAZJfyON+7R7F7LvkhsDCE6rtCRfB2ZmiDLXrEetnhnowggh+EVMwQWTd6f4nuE47ztN+Gwooi55bFelGwJuTN/ErjcNfbVGC6fR84rtuc1hLhTI0UBI5LUFw581xu+ziPugz1tsbgH7JcecbXNr+cdn/3Aw/KMsVjHbsGPsqZ8r46lSHMdez+QcDGqUqrf96k39490plxoka+XqzLLOceLdmrUpt+Skh5lA9tW/pP5fOGfFNn4YlfHVdrB8GSdv13nv1j6qYj9E6ZFWUSMkh5GNNkz1hiSERcdIxTZ1TrYIX5Q3MEZizpRs43BvFu1zTtFV6t/nVSsLqTMz10eADEsO+ts/76thzajkdXv8pCoZzsWuySIQyW/q25r/Q+EwjcUj9Zf94Aa4RFGf7YW1g6iYt4NKwAOY3A4vLNmYrhYrmgeHw8pPX8D/TbnFAL0JmmOMvPudfOGLltFEiv60tgoxv11uCDw3i8KnxcMFWhcMZkGFla4f2zJzG3EXJSQUs82ysEoY94Ny+Pj46W2MXKfhe6TI8XxGAsN5UxYNn8B7Wuz6TsjWfDFrfdiDTwGa9jvOvvHVvXi3oG+QLAKSFRfGg5F8vhMIVx14pY4XKnwZBJZgQYU+NTnZlq9BlxAUqAFHFUZJeUr4xXXt1vChYkQBdrX6HO/C/o3TXfnurJ7eE8zXcIMH5Wsy5BxtY5TR3hFwr0m76Ueq8O9XINpVINDZcF7n5c0TN5G9RTtAwcBoH/MfgwFka89ACfROyn1qnkiUsikpLAweFWRPf5i71K0hwStcPhcH9QeGfZGnrIslMYB2pHf9XtmPEPZrpPmJstaniOVGX5b8rsYS96jb762x3qHK8WqEQzB9ywlZt0sYevel4RV3h9tffncD5yROQ6a60t45fh40LMLocLxoj2Q63aYgl7ONtrD51ks7BGSRz0EI5Sulz+9MkBuNl8MT6MGY30NvGyiy9gD4w7T4+jprp4hSCs+jhP/dv+M+2Af2qCn4Ggdf719AgD+/riPMMQyQjaJKD4ftxCugbl3tFs3HG3oD4k585DtPoZjfUn0pxogxdw4nvscAhYKC8BN0G+D9p/fFP1Dob+cwF1x+zhxu5/467dP/Pt99OM/vr7h1jr+avzBozebhnGHz7fjgY/2wPd+4D8e3/B5DivmR2/4PI8Rhvg88Hgc0efeZeD/Of7kMRZoUuYr8u9AqjJXdvAwogJYQTqEjmIyaAN7XkXUEuYdkzKDGuLDCnAeh1PzXiKrYMyHI1WZ5LxNNGfve/Umw6RNNYUVs0Wo4cQGf5N/Rhrn3C8m0pj8JfH+fPi3C92aaFihS9zP4EMjzGluE5t9M8o/8xD8mWYq85nf4SkflFLNo0AycNjsk+wlG68kz3XIc44LxBvNtlfcW+Ck8iMv5qGiZ9l5QF5aDFI/wrvUx1JT+WocnPoXz+nxZg0zfNs7sjblqoFJVsDC5HSNK2gAZPnxj0iC8P7XlmVBbOfavvpe9wQ955zavhkypWRahjmuu/FPfEep3qN3JUWE07b65/Kk8YUeocYjLCWDasZHkx1DuVrXXeUhnTdxVDMlzbIHyoQ1lGmSvz9NgnGg721dwLMMmszoPS4bJENsxbx6oNSR5AR/1qygymK8E/1wnBagm/el6MS32NMI9vhK+28aQ8n5/DUPQyypNp9F+Qu5UwVDUVP6G3tu4XFciVojxsU+Kk4X1wnxsXODgHhe2+A5VkzDYJunUPr5+ASsHCGrrC3maTZ0SgA738gLUPnsofAOSxJquq5TFyhdDhG6HqXCVseCU9lDolyFoyHjW9BUjMhirAzN1eXm6p4b8z3HZcjGFCFGMWV9h4NkSDcOib7tYBWqq64D+qpK5Wk8IgKX1ZVkxdhz6DN1en4K1ZkarnMMGktaOwokGSj1icvSmUbQ7M0aGmNcaC6AcFCwsUYb0ZL8GhcRTcOYAsTIUEIeojhM3qz3yDYMY90Jx8jfBOjQpIhtTU1eVPRbG16xfZxjNBH009p+0Hj6ePv1PvUu6yDZ5MRzIhS+LivFeHp5NzxqCtx66pcbJANA14bv/W6hiCXeH8TYf+mB/zy/4asf+M/HBx7a8B9f3/D3xz1CEo+xNcU0y/J8MAzDA/5sQ96VM6LkzzHx9eW6kUqXS51zjlb83Mp2PMZsBFfKL3yif17JUNx1bGhZeV8VuwutjvZmdM98/nlBnIl2PDPYXSKLMs2ptD/Rm7mJPOXhKzxXdZf6/6vTT0XsnzHxxr3Dw8oEXRCECBv8TnuKICDXi/3CmrTA9pvw/xlz9geVe+pNtMnLm9Kzvr9zmP68MaR+BIF/dtk4MOctlR2Uf5nDrRVu4cjgBFzAh5PPhOft4V559xR+T7vNrRJqxXLYcynUv0oXayYem5KmCnGX87zrrJUJZSUX363bKjT86JooDD/zL3pVX2yYzAE7fBdcQ1R6xVXQo9qf3QYKGj7eUC+Y9F07NVXGZTX+wBRES2JB5kpBLjV/+b0Mzw5vfmR+dzSiMJJC+bZrj9aYPoEpQm1vAHSG1oX5UYbuzmVP1SLY8Y9RRcE5Klfhrx4YoZQEFiE0KZpLP3PUCDOy8TwF39JafWNdLlu2WF9hdrTcqQWZy6OyDn4kBV4XmuoHLTv82I75pt14dgXTho7HWqj0jfItB1id5opoUeR/tnYcny5gi2wEpCtOq/DsqVuFrqT1e4DcE/bRxz0/J1iQRAiTqVbBUDCfMo1n3Jv7wFCwAVNgvtxziBbRuvB72cMb1o2QDgvD3DT6sfSzTJD3c4SMavY3hOSv3nD2hrPP+3ySB7DKdp6YfvIh1Tb8H5ehvdT7X8cj1s52/hUL8Y6yK0/xVODmok/4o3fzXz17N12F6HoNzB7wRaBeMpR3b8A6DxnfyVzq/ukN+1ba6EJe7x/65pyUMtjM5VZJucBI19lgg/sXFvmX+Ba077cKAxk2IK8l3oveHae3aYLv05VXSvvnjg+j9flblkap/1U0JZcL3RD2N431KzgrnwVkmh7wYjv/tQ3BG3Mg5a++e1JOn+SLg36l3wW+XRmhM5gqY8z9jyJ1vZue9cXXcgXP+TUp30F7JPfpt+Lib0kOh6afb5V7xlJNunbR3gv+N9b9szHxsqxIXcZZ4/kPzXOtC3MdLDLIFXy737W/C7OyvmfZNKq8kksr8m1khaUY4WwVnVLVWuZtQ1O4Tld8+velf7WupcEdsLlsWt+Okz1HJ+MoZfUu5ZQqPNSXyyT567ImNL/zZ6viflPmGT7RXC8K6pq8Ha5iN8FK1yX5WcAzOtt0O58RWt3XH63DXbraApvJhC5f8T2x/ozlLNkwCyJ2cm8KYTdU1iboh0I8opIbgbNxdvBVZV+/wM0dzxhz42vBDD9EhvGyX2lTU8fI/GX99it3uo6Qwycavp83fGnDZz/w2W/46seQI02GDHnSoyk9OXzOPspINDTRvd/JI1GTF7BQsRj/+fmbz6lR5vX37K9P6N5l/Rd7wW+OTlTa2EVSekvP9E47/0LppyL2z5oumLcc39vivX+VouzJWjwml7qdcDlBp82xWtvnNjxPAbOv8AEwC4pJkKpFRXvYBnWT+R6bjWSCh+W+XEHk9/o5/MvWioPqzZVjsShib4HksUv3skYVzkRsYKyMSb171T1jl34nz425ydRwFOH9EQqK7AkyvJyIi1WbTyrj96KNSt2TY+9RkpRljTagXpWmOy4Ak7jTvbnBCNDGkYScK0Jb3tXw1NGkIhROcAtngic85vpwXdWbRpgSCIblp9+denO8qAjqMOkcU7svcnh4TmGFhafoRx0q9wqNENM672ohpYUbjoU3qd0fG8oQ9/Tt4pEoA4bhcZ8b15vV6x5poejQGd7UPRSlMB0JTwk+77N5+LVTbJyRGX2Hwa3AX1kqV+HALZXJ+6zSkbTmBdBvliF54c5KM1yaFUY2XipW/uIOGxaUB0MJYnJmn4E5tnNdyRxvUB7ui1LbPgc+rqfd39uAfp9tiUZkUlPeSHq3eMKyBzMA0eE9pz6PPgaa4Yk7mZvRRp+jZgKGCRbcH1cmhcegWT9uhWm/Y7TDvPBorNyrweeo4DrjmPrvg0LamDdp9AmY3rLWv7CON6tp6ZruNxKl+YJ5EpsxT7qnOsbF3jHuGpx8wBDrPubHB8ThlXhe75r1/T+81Kvg73MKLPgsCrtbmuag7hPsWeveiq18Ou0FgIeEPdB2/TDfUdYf7O6eFKngHJnkGK6jfjesquA8W3jGiigOmdbMXQWP3qCaPWF/Pe/oKvg4TvxyjEVzfo3FdJ7N6h2dOs82hErzDEVT6F/O8ezehqc52lh7Ttu7eX07jS48wPTaMWHVeJV+H+Px+Atw/qI4vwHnv53ATdF+OaOfrQ1l8mc/8NHOuMPIQxLf2pSOHtrQVPFQjQOEhzb87ftHKKCPuA/XFNA2ZgNoxP178660waNAhseLKCDfZ1+Zj6j8RVTadaxn8raCGA+pg6ccnvOTn5KT7pwPfMueNkHvvoyGEI+kh6T6/BqOuNmU6HoVwKtxAvdN3HNth+tervIGhV9Iyliup/ASztdxlJdEDzZlBqx14SPG+SXMvXS48gGcN8r42G/q/5m2KcbymdGp49luWKXMc6E7KWvMaanX6xDCSW5TMOUnC88oBPvOiEjp+yLz0XeG+8pbdZsuUMyVxskwaFdnpc9CB4RlrJM3ynhghIfa5LC8wfcBVV4EVQFghu98ZsS7eeVtLnutKWE9Etfgm2Tu116fABFRi/lEp7E/uoSJHjNPfKUg437EnW1tRh8CkA5ng6+0Nvoh89qe9Ke5r9xn8xSKu+s4T8A/jopFJfaKSNEnCcVtRAaCRbbo04hPfb0cGJ7OLn/qutekZmjdrS/pUzD5JoMljBrdw0xcWTHwUg0+540H3zoX7WpkcYELvFSXM6Xcz2BrwzgCM2oR18/0hOkEDUcsTeY9FUn5xLjyVEb39qniyYOLwUybnqRX27suU93U50RT6juSX4IXqfB2QledQLCMfql0vpjDyuvIw8tKrKUaxSzdEXqxJ+3WvAIjNLfBEx7BRi6Db6NxgADa5/xoadOVTcFbC7ZehYMPXD3Lt+vMedM6hr7OHDaepDhnwZR1j83AcL8YL2ncAiYqXrbP+ZBh9zVFj1iOh0rIkSwPb0Hkctx/yXtqOh9iPFzGyN6dGMpBYMhWFllrlBlIIhaZIBKf4dUISg2DRh8a3rBiSlsFhqEupuzYyFM2hlEFN7vS5t7OqXg1JeyHHbD8et5TFCZgKmebhX0/bid6F/SP4XPapY39wHgqj1Al54yqF1e3xJgyLfYNh8YzAM9/fr7S74r+TaF3hXycaPeOo3XcjjOFWe42SH8/73Z1z4lDFDc5cfaGRz/w9/OOL2342+MDD/eI7Q2/Pm74fBxhzPt1Hvj6Oqa8XKPaVTxrCK9u8PoGplFD3Rs2NCyudCnvdorqXPDi90AaRJTRDT3f0fiF3tUFa2vpUrlLhx+0zVyzAKTLCR0Jr2feB4guLOeuwORbK8GR+S5oVjJEyrqZZGgomzy7jtQ98Wp8/gvSD/gA/kz/UukKiZxQ1tAwVxvhUwpS2rli1H8AqWNzBrAV3nl91j5cwbFhBGOj7kgMQcpWQhqnZxu430mXXrEbmN+pU3T+8bM6p09d9Dsm07TJNw8ZmVOugBQhvDDVXE+unAGnfDu4a/kLBvIlzj5JdSx3SekLM5Ba4VFgd0F8IvgyGD1W1OkOAN4NExCbPJv+PDuIuPL0TgcldVzKu1Q3wRFjYj8uu7arx1/6EKa1jzn/VF6p/bqmkqFDSVvSR+TlJf0ioSpCfrbS6EaoWQDi/j5pN6rx+ROsCiWu9hlztqv41Rra4RH3rzBioSRjfNzRrk7GBQtMZSypz8pzvqMJghx+2X+3/DfGUxfaUnFS3cqUD99qktLes/2R19hmnW2VlxdzNIxgCt2xtviAIbVR4SM6sxy0pOeI/X2h/zR2TgeumP9ngvg28Z5S62DY+hT4lzF71p7ke1+zpyaSEOwCYFgh03P3/nSP2JtZOruFrwudTaa1c3iGWp45FzaAgiHsH4aDt/HXbxhGBAd9egi0wG0hfJccQtG8X70evQF6H+3gZuGuTNm8hM0y+DuNAPezqwyvWEgcGJxq98BSn73f23t+Nns/7wOvcCgdDDo/s1m7W56Cm174xFL/0nCtYGZ8h9+Y9I54rKCtc5Pa9v8C1i1cu7TUVx486/OPrucfyB8K1hp++Ql/+cPKnJ9pSZf3aP5IesZL/ShO7vB+w0dulbD/QimunrnMUH5f7f07b2CADrx/YACe3QfL7V1VSZ6wi/z4Il2t1Ve0+SqtyryLvhEuhcKbsm7br3xPafcK5u2+EYJaro9lwq18mGDUVP6VQiytn6uxfSU0PSvH8KDA/zuI8m8pup6z6FbZlAs9efcHJyk4mF44f2hjOnFLY4x3c73IRMxDXK2zUscOzqtzpz90n93UyW1X2p/OBcqaj7GivKHM28gvadzKelra8d8tvw8Zld+7R6Xk+vTi90JTCMY4K+C2SVm47QOnK/q02UOfpSheyVedJ663ympU5jK9gOfZPr/jE0SxXtVT6hEdhjA5A/9p+U0sfqy1XH4nQ/nzJhpyIieXsXbPd0kcDgsL7GcWcEOAY4P/V3sFj8sl71HKhrHvaFcs5PLRehgrd5KNO4aM+GWRk2YUpfHsS4dC9rPfxp2w3a6zOQ90j67kcmQfHrG+kJb5W4Ce6eoc+90kF3j9otn30x9U9nftnzsWZKNYfReWp+lH5kDL34+0c1nnf73Q8NMj9s+YTOiR0Ezkd5zcO5Pv3eH7NvnQKuq72Li3Cre6f7nFSHgujnZXz9i5sHf3qy7enTd6vls3gsXK1w8iGSbpT+50dYbd+puYsyM/r0LnDFnlnwkSuDcpYGXdgq2MVboHFvbZBFDdexaAyqpOL1OWjdiypIlZ9xYh2ixpp7f0BQOHuQHFGNIG7efIAWljb5LwC1nGzmFOz5CtxrUJuiGhe/zpYXCrTEunyng43iuAcwxueFB6fnifYHcLrvfThKDUkMeFv5MV8oBBF3MXvoMRArPWlckwhoXXRELRMic2yMxUJEWIC3Kt5HFvV0VYEo8wcJrnW62Om8+fIZT35cDYwMxzFxj1qpft2SIy6MfD8roFNY1hPbhgz7x+x96ggpWTdYPmegXZ2tWzlTbdao7H+PJ+EwC7O0bGc0xv2FqPYrWAdS9A7/tmXDxfMIKEn1nZrsAhs03FesdLn3VVRT3flxwweOQAJLTMwMb+guHVhnWvUMojGLgjp7c5GvD7aF2QaA+gmXe63sz71Lxxfa3obQgeTWQ0zW264JqUXt6GTjiZ/oQXg65zQH1NVvfcX8Z5NgaitiOpr2+Z/XE8JSt4L9/9GeM2dVlpnVYrY3Qy9GVvJCCt1cDZAuvSB+9nw4pHhTYlOrzxzEt47fn7wAf1ML2+b6Y5lhgLF0ShI7pA4HFaQ+6dSHWZlTG+hh2v3jp6lxAuVRTn2SACPHRYJX/1hqMfKcSU/33osGzuJlw2KO6t4zw6jqPjPO2+GxW0QyHSobdu9NOEzdOETQHOv/ZBZ1tDu411077GfPR7nSexvZHwwz77x1gnj78o9EOh9w751iG3jvvHA8cxrLWPpvj3j0/8j/uvaU67TfLwBD7waWGjOCSzh5K60X1HpyFDa4ruOO73w/ZxP6w8hNbK3PfYm4WTNkCt7+5xnYRjs4Tme3KdL1KjaR0YQvzOKC728Ln/AvQZNGSlD2o823wwo4bs1n+kxVV74qhyfoerVBUozXXW9f0sLe3PthLIR7GMVtj9k0jKvMSvM8+zRImQ/JuMnHxet6D/EddQ/J+W6jjFHPt4l0hD/s7n08v8xnb5HuElUgfDBGD4CZockKJrlOyyf57koB3cFa+l0BDN+cIU55g77mLouBnL5MGKuS52dyoHLH6P/QsF56KErbzMbq5cTq39pPI774KQTVM4YkyjH/aGXfb/TT+Yb+K2fM0z/6ylXuebNrSuGhQkOiRrHm4r7ZlA8oRL7RSY+BBT7PNSSYr5fCpurIBiYH0Yh2vps1BZ6z9FwFEZPJ7z+Ev7O1icf/LxpTG5MkZM8qbJLwGb5nxVWRu8JT++WtOl3NIPnlff32mfT/nrnPAcPqm60gNWxCSwd/sul1WL5FY9P318WWmUFLOlLn/O3q2cSE4M+s5riWmE44pOgITLCfY0xOFmeulpE0FH2jrOAGakIObBeOx8jOs6q3B4sfAKnpHGvC5Fnu/F7kyprvrpRo0898ecy1SOaUmb81im1uROSbxpTA0hof/O7KNNpK8tooVb5VvBXb4m6GoPqjQzYN/h+SlpDnc4w2t+UfrI/FvWaN+0W+r1ufX5lTYjCcBx+ETw/hCdZz0YtEtvamdbpd9XC4DwBSqQNgAdSlLbY+07X1Xj3rDNBuPDPEhdlnTZ6Wgdhw7j1sdpS83kw27KSBFTwN4U+k1x3hQqzc75RxQhP4bUPs5IxphSn3z91bkpe/jwggX6N+Dxi3nDfuvAveO4n7jdOr7dH7gfg7H77DcAD3w3VVOHhKfsIQ1dxlh89ht+Pe/4PG/435/fcPYWV9s8zqGQHXaZM4IUVCIC2Y5/iShe+5kLuuJnF6JGD3TSJJ76ne4h8G6HF6Wt5Z26d7bhCW0mlzSu1qsXqKlO5C/eEfwLjFdrzD2Ca94NLUjwMcVij1qqh/VT27afOZpZPW/fF8vPx4LaAP7PTT8Vsf/N0i48mN/bEpuaEea5WYsRpRwqOKqY7iJWJYVZo7zLoUviKggeD53A4ZyuiEAwkWXzYGboHUbRf/axS++8BK+E8FBOvmE5sRxUh3BA9/HSWKdQcU5UdaogNcZLjHCTUn2z+QScCuiGso374SQTaSl/cJgRwtbCNGHmjeGSzbuwIHxCZQ3melixZgK6hZOKMMU+/8AqMBZGGqANtjJ/1JEIF7rbGYzJHspa5PFQn6cCQ+K6c1v+nBnNS1ymNfUU5yu8pRtVAVPXEisoOLSx0vOBHxkPOVSuM8T18DeMDliZvZsnBWBhmocnl4W8Kn12OiT2IwmQLdedzph3bYsCp8yQRh7KhNsrjOklr7Pp344Z43lchCadz9T71zAOXeBjK0vIqgTXru4XKTzs6lp3BvcV3tXwTijfCfb2wLwnJELqSMY9NWXtbeKYmjFBs8Fx5XFXRSt4EgddcfiJiSNP9p2xR0pWtpf5d6OGuJPLpEAfb18L6ZDDQ3/6dkD7jSshmZZtQ4rGWl1BZ/oQ680OdSO08e5wbUN7Uuh2XT+9b8wPbIYqjxsQB0HLAZiPu9cPAAazK9jpHHKuEw9BBXpvBiJsQR4A+KbRqEMk2KmYFu/WRximLmht3uuqqjh7m+GiaOCGF+wY+M+zoWMIy/fjxJcpLdP9s61bGCtATOF7WqhkZaX7oThtEFzIlm40Ybcvu+e+HUihAefHqKf/0oH76J/chnL4drNwUccIL/XteOCX4xFeruNv1N119OurH/j+uMUhA4DwFD6aAhj34/Y++hOHQMw0mELWDTiSoh6TVkTfKk3TjGvpYNXXr68FWi8qYiH4seAuIg+1oQz4HGt1pQTK+iku1y50M2931eZ2b9/Qql3eZwcHb6ULGUKUxsqfUfhZP8gI/v4i4g3zg37HsSty2oNgdrwuPFZNPxWwP5Dq3D7Bj990p3Cq4Hn9AFalb2l/0PXNXV+elPayZ3yzw1Ph42zMK9ayu2qr7HqRnvZRp1y4C63Gik0BspEgwbistTfG/kfg9HbGnnkdHWlbTIB0bY3Oz6u1yzzRyzwO21MgKm0G0XXbt1g+L2O8hYHwKqp+NnxX7wTEn+icbJ7DOp/BBz5fG2/JiJcAM3wAh80NhVXSDG7KGow7OXv5/B0gzrbeLFjz7faVZ0WUHtS5YXGh8MqXOO9rvPI3O1ifg51plwLSiwzDBYmHn+dHyPzXs8Y8T+FJoiDv3zZmO/oqgEWj0VyfK64XYGZ9lb5H+NnYFzQVrHL2co3WTkkOTANlyluvT/E6Ezpwe5LfSwBh35wM1PVvzxRIDgfD8QLvpTwM+dmOvtSlXeez1LNTlG4Noy7WwLN+/BAd47VW1+XVGJABwkAXzXNWgKl6Lv6djlYFi7xXPV9dMdmkp2eeZwFXQRGGxmISj+DVjZ/uOs7sHiNPPxDG72o4v1zFV+fGcZUBMKVlv81ITbh3tFvHcYxrbQ6Z8q8b7LJ83CFAt3DMTXHq8JR99HEv7Nd5jGe94ewyIyt5n+2MNVglCk0fXZE3cYbWlNqESREoE71KE2FVlPUeVZexY5gcP70pDTplMDzhe7ZpGwHktayZsj8Zs52RzHhBv6/Ge7fmUrtC9Ow1nL85bfiP38Uf/YHppyL2v0Niwu+EeLFKl7hDbynu3odsKbFTeLIXqf++FBD2MM6D9PK+8om+SXhfnDllpWjZWLd3VHldcMs1WZimQQw1KG5VvC7hc7mJctiV7owgbsvvwN0mXetJDKlpkNhLIBE3YoCWEMtSxkVGfVlBkplUF7KS4Ez3hlUvsHRQyV3gOgifklUMtX+lgGVGdt7JicXbM/KQheWlIkgx7+h0bzXrR3OvTfYqU8z7URXzkL8ImZo8nQMB0+BoM2vnyrjq/Gt+90HP75xR3OGSW/zBPL4FGl6gbh2tN8zwkjx2JgSN7tGiJhxji6347LIoe8bh+qY/ND4e2le5b9ER+6T5bX6XJ3t3cx5nMoXyELjL3a9+KD95HwAymSMxvOC+Oow2335PRtRH7wJAQgE9Sn1OC3eevgyrkwaflljrGEKB0bN5Rxh3HDkxTfJxMhxJxjq+zmRT1quI9jCF0tJWwlP3LIAdDIiONWXew6GQrvfdeD5fa7wWfLwdZkWiT/He4FNMBjjROFbSyBxbYODemD+mYZjw0NgshhhOZ3gsXOgDkQb/K14X7cvWTdNEj1UwDQZKHz1PEqIIP1OePmFOhiA6YVZM3BC/a8YPJUxJSlOVxmO+oGc0FnyQEXNVDjeS0lhleK8eVC/1VzryQYpieFqKrF6P4gdUko08BFB0a6Oh3zpEDzxsskSA1oCvs0Hkhm/HiXYMC+ebdDTp+CbDI/ajnegq+Bs+8Ot5w2EKWRENwXLcPYsQ2P2vu1d5l+HFa3PxuI/7x9vneH585vEODx6ab71ZJJCP4RItv9h9PkfH/X7ifpz45eMrBGYBxv085y2UrmM01NBphiA+yPPVlbCnCh5nMyWshW/ugm734wZLR3RPbQwUFN3Cp57XSJ1GN2Kq3t3AiDDCxj91n+E/IOMm0e65Luda8eNBp32DHtqzGnFFdrFA6LW+/h6wOCkkBXLlg8ZB5MRp0bFm6t3h9cBh/pjtDzZcE12r1vRUZEZu2exBVcGRxr2uzzIPW/6yeNb+TD+YmC5behaeuB7eXSrupHzSc1Y+zors9cVBDMtHazQiArX0JxkWv8CRnWJvUdL5a4ruU+WX3ZhcecZejp+v36WiDF8829HG1B9NctxqvMFzSvR213b8lu0ezWs8KWEJrRZl7NUwEB4FOBu6suO5ZyX7ume9Mr9XvCV6W9tfDmADBpuQgHNVlshp3lobg/BoxpVndamI38Pq74yH8ftY2XAJNJ9LAwS3zqoUmB7AfFaSYLAybjTpmzTT4ypwO546Hrg37xZ3pfDM9I54gx19SVn7nNslMZkjuiGbPGn74zaE8m/p5axGD5rTHQ5zmc2aSAYnOtuutE+B6X2qmCFwgDT+i3yGvO63Cgaeq7ov0/gpt7XQE8lwMCwFb/w8Qs6BPxHhpq+wR+OCpHsNWUnX4XZjRdHBG7EYUNemHiMakVTc9i7JLDd4xjq4GcaQz6zfMS1lDq7wShgMryMiUenl+O6cXxLPyU0SbUjjR/XFnr3xWl1oT12fZZ7Wjl7MM6eCh+m80PvssJvXbucFRHXE2NMay8AybBL5xZSz6me1CvTe0FpfbN/4OheXGf36mmnY23EDcJOOsw1jVsWos/cWV7zwGMih0KHhRJcekff6A7hZX6VjOGJ1mJH4JIJinsARBQFzf+53AA14/GVEVTp/UZx/Gca8x0dHa2bMayGXDxnfXR72vnp6+GEMgC9t+Ow3PPSw+2KbGTkjrgXyueldIpJU1nKuOMEOJ8v9wy4LEs4IYFGU7FyAzn+HrCG2560IueNjqhLWPxvJiXPvXJH/GV+L+rxGMvLf1bCl1M+wXdJTpbGssHCTSn3erWVge8Z/ZQDoZ5DbKDxX4/GKVvxovn9S+qmI/bMmMQaFhEFWTkphvgQ6PA8qAm4Yol1b9bAqmCJMYucwJDdzBuOFBXEVTneLM3ndjbhyY0PcMK5MWEIZG+GeqGsdM3yd0HfjyuqhEwvTrBj0dpKAwf19tvhj898QzrMPK2QPN0obgTM6W2Wx4ciEG9ma+UIITMSUGEJR4LRNemEQmTD6PukKQVXYHfToryhOrdPrs42z0UHnpQBvsC5eUhXPfZM+YeOiaar0ZsCYgBveSV52J6S6950L2tEecaTNbPw5RLEB6QeswzsIccgcShH/pOqYGffNOwkwGMok6cNj0MfCFUuuiElGBJsxnX+O/5iKHBqfgJkVg67oavMvmHyuG/NdHIC7wtzfMVg03gOoDTNA0xa/namo3hSk+A7rZF8D5q3FIYf1NhQqzWmHCWFyTt5KHa7D8j6AEMIMR5PCvY45kAVrz8P01MeS7mDdCl0ghuk28jg8/T761r4khFLZHXQTHKEEcWYdRLuKYOZhVHk/6SDrZR8nmuOA1cY86J3jXJs4B2OgQ9lf6G0cLNn6CgUKd09ye3OfQd47qqAbg1BIYSd4d0ZQNF6LMlstTLMC/UNGOESd3ggjfB2tJcZ3N0LxZWH01w/YIjR134Rgd3rjhiDHLNNMkTNwZeaPwxYg+ul9j3FmXKDn3Gde+3qba2Tuc4kEzTH0PhwmgHi/u0TYPjnJ0lRsfptY+GOZa7SNgVJVaPAkCm0N0oB2nFAFvs7DmtQIxdSk4y4dfzm+TACdSsyHNtyPEx+3E0dXHCZ4szepyHj+5d2wT+0zZLKqQE/B+dWGgvbvLVv1U5jv8VuH9+uhaPcT0oCPb1+43wYs324P3MwDFgC+n7cIMfy3x0fU00Tx0UY/H8Ub2L+7EvbrHHf8nKZ4VQXOxxHK5emxL/mwVBwBJW/eZS1PeofYj4MWeRUeNYP4EghGSDbHNRWK1W1CsmdXot02rmmv8gMCWlNJGPU2NunqgG0XFhigOsmlONZCK+9CJpjlg5dNkvPazshK3q/+3vPUPUiQlFIANgYPVg0ZOFbFFACLVlMHhNrcPHf+krr9M/1o8uVXou28VBa+SIvHReJBfrDuVM2+7OWBreH9S29Ph5H6HvsVt2l52Nh1ZK3w6PL7mWy7wGJ1B78+m4q6n3kQTFo4lbDLGL2xZq4OygKuYsib+SK+kmfCVQ/olwP7RPumUfYC+8UwVv4gxu+N/l4qBIDqXLct64qaZFBYy3RAhEJncgVMazkRHUzKWIMvybRlf0l9KmPgcmXtRxhz1eS8irURPHTpx7IXinnoRP/cASDzwFUm3MozwBrePuDDsmfE8vbnUvJiM62belI5qtvZlqs01wpC6cf17AwA4qyLjShlA+cGLsfTdD6/5Tf2v5e1CHr+jM76HPmcuMLD8ZKze18SnyG5DUHChWpEmuah4EbiiRshI/fRjIAjxCmNe3U46H7/pvGW3O/gE00evTqbSmuE6KEr79i7ryo6U/8YjzXnZ7gSDORssLaPleYY7qRtjtuKeZNZz4b3c7oru3brmNB77lPQ1bquaU0t/WW8pzkf5zOW0cNGVyMHLQ05aLyegHGmLhqeqYpBl3sf17AMo9M+u2SKRb/Opeu4muajnegYXqEA7B7ZBz77gUM7RRsCznN0WnVy3SIKHAo5MO5PlQZt4w5WOfxGtiHrNxuv9oXk1BEsD8vkhhP9BugBnH9R9Lui/6LAR4d8dNzuD7Q2Qi63NqIpuTfvrc3DBVbGuiJ69LWFPNkh+DqHsrnesasq0N5Q1/GcY1lwIGgR4x+QcMx/+xoWKxeRpixvN/lPd0Yg5n1acXlZ77bWa/mF//EihPtbvqSUzcpQwXJdY1l7a2UXz1+k1P4T47K3k2Iv123oZ8qzg3/jIAK8xwv+s9JPReyfNTmiOsNVQhpdlQEQzMTT/BfCSGJce2a6AEyh7BmSF2L5w0K5ICniKnG5JljzBROsyXCZYFCVIs8Er8LwBRwbQrJ4fpaNhIkZCgFF13FoHHkvQhJV4vRifkeoYsSYXgoGDq7kcX7KmDMomw0plIaLJLWWY2X/0hXNOJAEt9Kmf4+2ncl1wdikBTHLKKDMb2ymzqViP8ZCHGwCAvmZweuhuv2+WBWkc1VXTHCZBBM1i46hfBBAlNYJKTRG39e1GkqmCie3VbQhaY5KmQXOV0ucGSRmBi9wLvpAZSsLnZrk+n1cKpygPAAdwI81xx71yfvUxn7hDzzv+aTzT4QRrkyBRTm6hNvmaq6X1oJHY/5+Q1iU2pb3l/nigu+xXRke+d3d+4oROOy/J7HMAARuV5yOH/Qn67C74BtGTroafPg48d4TxcOIh+vLiHl1GPqUMaT1Fnm5r9Ur1UiT1jW0af+KjjMNCiUTCTY8jld9WQ9mU7bXBzvAvNuZ+iElX3jsKoL2xe+eD3fEFmVETkh9sUPfLxn3Cd19zyE6+gH0NsIqAUOwBYa36Ofthk4bhovgHYKP9kA/BOdtCJ43u+fYvUhdSP0C4l6g4xh1deMHThzjjlXFNDi46zwgFiBFaWg6PGBv4/O4nzgOxf124nacyZv1YcgiosN5vSBKV8Gv5836PATtry4RonmEoWr4fAzLZlfCdvLmBTAOCvpQJi9z7+ulRgjwuff5J0tnVsAy7eH8qRqlOqzNoEs7OvxkXQbuJB5hEzWEuyjX72A8SBw6Iecd/MlKB+KdwZz2v+gf0Uzes/wz4NKnfU7lAIS3bHleiesSBu2qkUpTKsxcB4VG/pleJPNMXBSkF6kqGhMOXbbxrMKZ55kn6FLPG3MrO/wDwkjgUpHoZes+7rLa70Csd8f5nTwLXNVggz8j7wueAlhpwaZMKJ+N3xn7oMx5FGTv3R1PUHkAprXOE1Db2RjviRJ9RytqFoOXQ5wqRYUSYKX7mP2Nduxzx7+J2NUJKGXSKSnyZ/2+w/0LRjbdxertXMz1ci5SaCnLhFukoSgjKdHYr/um5vY28x9KN0y+UqgvIctrqvZaNnk1lkx/CI4X6JNSGhlGed6W/fPC8BLApazjyknmm6txZgVocfavpMHqfLpH83hpQYMnSzvl9XPF3d5dn+mmfubJLhqceErfC6+V8KPPZyMq3pQFVDCNqh3PGFZXftV5FaxK0dplZqHqGqkKJsxzPOW54j9cjA2tmUtFjje5ozt1/pF/Cy7eU/21XVaKKudhGJ7wiVWG3L27XLSlDenmYOHzUdaCdiJ+Tg90XD2DXhqRPKdBQ6KjJraYbNjhsttAlm4y06M3HK3hhm6y1qiVr7TxdGsdZx/hfg/RqDui1MBpJylmBTNEsQ7DdOkNKmZIbcbHV3KIOn77nt+Afh9OTOcvOuTNbyfatxPtUNxuQwH7cRvy5M3+2gXSeLjijhEhCUAooV0RDSDkYvaKHc8R4YlBZ6ZL+NwdPfF5q+f2G1CZFjNtceNPNaP+Ua0sZdcKL2hUGOft5yKBf7EOt8mcbq5k0FfnfMy/vgoZ/LQ+3j8qT8zrbueMclHP02e1jlpf5T//BdJPReyfMXXMw5Idkj1LAvTbyDTuir0QUmsI4HhBbSiyNw0/3yhXF68Nd/XfCaJXTLU97+6Ny8zlFfP9giiyYML3tvbboMRpfJiGFC/b6EsZrxijm401EZ3wulJgsVwu/dEIKzXa4HtnXymxVbDc7cNC9PRSrGGLMwx1nBOjxW3VFMxofpkYRa6XmIDhiWUeFNVbjur3jTFAJotJ3wDGuBtD3oc3YFhAKqCHjLAliqSEiL4dOrzI3AjBvWmcMWgGmJuddcmer8D04jQGOjzT+vRcjZA5dsjcj/nbveRiPejcCL3P8jk++wFIc4u22W5llqMuDp1UmHsVAMdgBuWUKXz6HXxfhR3hOsiQzZsLI3dvo9E7apOZaMjA+eYH9QVnvD5noBIs7rnk4RlZoDpzXaH4t3lQwEI8T2/YtLatrBsA6oHIp1ZfsoKW+Y6fJTmlCA3+2S3EsXwhlHxh8CvTypxTsqpOhx5zDOSBkCsqzdwp2xcGz9eb99vyx/r28ooRmluUvKUnMWFF96LI82fVM9oZTpXk1aaOaCC8YvrLOOmMvX3XUwbO3KijSmGyHUb2kDalWPuSqUyisfc6ln1U85huGfCy33soum4Iz3jZHjLucXE8DXytXt3jZaXBIYSYJ2v7HM84CkbyFFaa22LBH+NZ17/kcv6ic6QNHqZjwgPiO1Tc03rQpfaQuV4V4Q2cPAwYd70P4mtUgMf47HdF/2bz3QVoin4KcCg+VfB4NDxuB77fhgfot9sDDYr/wDcAUxH7y/GFv96+QkgFZpjf/3x8jNBTNkC31vBp1tSPNpWjAPD964avrwO9tTGHfXreyK2Pu4IebYTg+ui4fXjnBdIU//7XX/FxO5e7h1wIbjK8e1sRpIfS9cDfvu4QAP/+8d0OCRq+n0fc5/N1Hvj+/Z6sxntvQ3DGGHd9NOB7gx96BILIQBimqcyjOY/SvoxW+Zqh+cwHZIJhqZzr8wgA8+oJWneFv+AkPT+Pz5MiaRjO95vxG19jz0jCtsNC1z2AyvOh2fawpHrakeEBjxXTjNnWbCj4yLI2M49LY8Nt8rM6TrEXlfpqW2UN1rxXe1CCIa68KC9/pt+XaDjDyMXWTXq/m0vgUmZaZDFi9lJ4XGN+gs/etbXhDXb9eMs4eCljuAqKNMXvMNbUcu1LaYcVpz/qWczGtlFl5SEwf18d4iWZ8p02qwIeox9DHs7yIfMddX2mvZ/qc9qw43VCv1jnvMDoMI0vJQPTDq4vFHzEL1n+Rc7F/D1wYfLVifzq2GNme5mYJloog+/iupeO8zvRksfrpH736VHq8l/iJRlPdmvvSYphVIwoEslrjCZwl2j+ODJUePKC4PMx9jvinbdUJH4cmHxaarnulSkSiyIpfAk+l8vqnsNrLfbrmmqbDRFpw98Fz13b3u2NXCf2/UvFHC5uU+g3lcMGRUO2dVnQ6/XxqrKqJ1pbWTmBfSpr/lkeVpCmd4xvZpQpdmaCpu6UOPvO53F+P657d6uGXAqA5HTNg4s9Xau8zco7zXWR6BsPfp3/wlgNvHRaNWHlJrj+FG2JaOt22dex9fF1+sTZmI5u+ESXt6MPlc9LMCJwLmi/18/r7920odcLfHb20DDO9EQwz2qdrsiohK/+gYXs5T0r/UgLyd8bznSMqEqHot0AqOJh7Ygouig+LZISbg/cxSMpKZoMhSuAcS+qNtzkRD8E937iZka5ZxuhiT3sscuGvQvOs+UrbY4hI54NkIegP2TIJCfLQdQFX8u2XsYVYor+YZHGvnXIveN267jdT9xuJ/5iV9ocbcD/7Xjgw0MgljQ8X8eVN2chGl2HUW+zPcNl4vBbYjzpGDLuKXbGSjSB5p/3Q5atFKOPcfa+TKfYNTlwsXTidRtyvdA1D1GU1xLheT7fJvoCqpdpTd0fCiuQ3mGzHTMvfUF3Z1u2QdS9SBE6jstEdSe57sm+ker08QHpRp4YJl5dP7lcpel18yeXSXTwBSP0T0g/FbF/xsSb1waHXlrillc7ITGe/cjmCExFx65NmXn4cOgljJs+ZqJTfr+qqy72wnC8Vc+PvKM8lahJL7A8G5PfmcZGS5KFb7pvMMkhPLvg4hvNVWP/SNoWm0R5XIaOBX6hcBCig2ESU/KmDcQ3xYpTvtH5xt8Rd/cBkwEIYYyZVBozzhvhFFnwdLjTxvViPHZ5Zfa/5g0FirdDiq/toQbKe2YuKIn1KfBJABcsngrudQP/I9Krevz9RrG4QMnMUR0nfqflc1fPFd0qgtCu3M7BWptmr2A/dCjtpLShh5eJ+RuqdzeViSHd9WHJWyW/99IVGg16tCEMkSHnTYIoSjEbb6X80W5iqgFWaijhFSt4fjQtAn6BP37LHHce/+Uwgz+5CiE+tOJyybcWnnkrHkeZC1oNbPrI/dnQQBYUk/K3wuQetFryVHh1KqUd9gVOC20cBz06PTn7IQAOuMj52Tr+/rjjkBmaCQB9djRpaFD7Pp4f0tFFdg4UKWQxMMJdDU/cjl7imreb2l1FJkCS1y4wvjeZ8OyWXqcB6DYgDTrufO0NX+cRSlm1Z26x3EmZPOdD5j4IjPc7PN49t0ftBd2p65jLyu5dgPacT15wodQzBXumvzZfi0Geogp8V2viGqAgNysN39VD63Ib3m5TP5eP8/7N1r09LN29q03sxnSXdjRrw4ssBxg/0+9POxy8WD/pHfO4Fwq9KLfdi97zIP3NPOIVj/sivQ3XizoSHIrrOi/6l/gPbL5f5f+BlMMMF5hT5eP9KyXs87ae0PNdm2+kZwrvUK4/o8NK5OwJXWEZkSNrsHmTy5mTGcFcI8t4EhP6rN8CKHSNxJP+rgQJyk+wRF92ddmzcVa7YeYueNJL8FmJrEgwBL9c966yF131R+h9gJU0Mxt4+dmGZ17ws+y7vCZT9S/WXjRZ+dwKGxUg9vW3pWeFGXf8UR1rxt3Kf7wCjN/zPPu7Z23+nmSKz1BeWp2L3IFCj3jid+i+m6+admvhlQGD5wGNURkUYYCv2q2yDb2LqSgkCRXcV/iySb9J3i18Zzx+stYv9xyhd7z065xzfTLHOui30rnKhmao7CYXFuJaAOnQLujBAylaA0QEZxecbSgdb9LRqR43fj0hISOOEL89ohc9+rieprVZsonijH2thWJ53EMuQ0Ec8iJM0Sre1XX8/CooU8TqRwca0D7MC9aUsPdj/AmQZF5O/QpP6Z17vg4FNEKmdLmy9zGu4R37hOmPmSmgLPyTrnlm3vcROW3ZF8Wulv3y/Gqo/kC6eLkW3thc0jUR7/AYP8LL/V5aX9Pv2iz/uemnIvbPmAi5092wgmldv2F0xMIV7NzMl9DGuiFGzAnyAnvC3C7heY9BteSBcX9lA/q9MBrJmsM2i7KQF68Whn3Tt3qXa74/gtoiCv40RNs7C3zH4OuE3e/hGsKchhK2EuZgImPDzMLa08PEmHwviwhBnO4EDdo6A6XEfsVlZJ3T1F7ZH1nZ/q6wzgf44WF4FfqKhLXKn+qBOLRsX7mNwzwbtY37PWd4ZocbEPMC83st23cBvs/1dZyAPkbIj7AAZu8+xfBac6ekcqdyWD2e5kGH2a8IU4wVZ/vNcMbukXUL0MxIlTYVU2lsDHooNuxeRLcoq/c2Jlx7CPyeH/YqZHj0ZlNhXrxD4ayzL8QodxkAySlzTW+8kiqZiTVB9EjKu8hLFbC3HoC4uzgJA6AxFCRrU75fEzRO3kYV1MJDW8q82XqDWW3GuJhFslsrMj7IafkcV+2OV5yaw7NwPzdrdOHpOLRTXVua19auIjZkcIWV+j5TBKsU1tnbcr7aPcVrvZ53lza0Us1Du8U9MJMOBA295XK1z1FX0DyEZ/sU2ka+ceA2BN9muNEec31fMdE87mrP+XAvCaUkPAQjHbhhtBkaYatjLL1eXx9W2OdiHMJRBp5zLy4IGrNYynfzxiblaJ2Pud+V956nzTzRvreLsW7Qxh1Neoy5O7+NPf34nDR03IkCijAhc73xuLtnrVvR+roxWu8W8ipmo8IhxRuA3gY8p+A8FOe94bx3PL4OfJ0Hbq3j//7r3/HR7P5VOacyFuPeHBZaP+x+2a8+PEsVwGm02q2gXcF5P87hiRqKTxpKA/Pr68B5NhxHx3F0U8Bq3EXroYRVZVgxkwu5AOO9aISG8ntfz97w/WssnM/HMcJqCSCieJxDSTsstYdX+AhJPMdOzwZ9GFLcjGaZ53jcxYxCI5iesXED8xn+jnHKPw8ZkUSsDkOLqKM3gQji7vlF4YiJi2FASGtg4XfsB/MbMxwe3SNksEUfS7o8kGQa5nkqL5SMizTRtOnVq4nO1XoveTUfkIak0NgaVRYvjbj6QhGySHgMVotmyfUDA88W+tF13Av9TMH8M12mGuqWFVnB52+uf5gVbD5jf9d9Gab55X2VV57BnNr1MhflWKZYuvCkreBF2h4u95RM7zjPZr/zchkGQV3HXIfU5z60vL4vaBhgtObUFCWI61k8H3iIBRbhR0LWyeGKJ+yTJm0G9QJ3Eq+RPCmH14koxmFwk3VssI4lt8eys2iuv8IV+w8mK7SDOXgM63/cJYfxrB/WoEUsAXlbhcHurcAsiMhCzstvFaoV/3r9Kx6l3L8N+Qy4z5kv2m2a9oTRTSF+2ie9MowFRtaCaf4LZTUw6Izt42FI5LTHI7hwZCXiFf2nWDvO24bRMcs4BPoG3OXuWYY9ypfCaelvys3zFcT+CSCu3djiWsXRIoeGweGGbjgcS72SSPR4RHORDCorbfef4UhBz4TGG9f8S1K0+9z4OQ31g/MFXZcZ/UVtvSRFBvMAuqnb6wPVWfqsASSCfjjNq04IXk36sghO83fgThdsiXSUQcjRaU6iiJTfmDKhz2NE5ip3VVsT4nS8znftX1nayfDA5ds6X/5+dmetm2hm1Fv6KfGP6lSaE4KT8aeeMc0Mm82fYXMZogHwqFfAyp/73kQwR5t+j3DHMNgVoLdBjNp9KFa/f92H7Gbn3iKKfpMwkm3S0XTcH/vL8Qg50Y1eP26PUGDG9WmieJwHHqLoR8fj6KTMBM7bMeSxU9AfDXgI+lfLxCDGT+1KG9i9sx33jxPSFB8fjyGDHh0fx5Bjv93GIZrD9OgNv+IOYBr98tU7DLfLoY/e8HkeOLvg83EbStmzTTnS+t5PM4TeXWuzS7u9B3nPZBqw0CcuW3CAaUh6DsJPe5Z4jx2NNEPd5cxLct7Ls7hXieUs3jMFyIcIec0OnkEGLxBwk2Hi1Xqq3x3+jZw3achFnWlMiqFdbavWu5u7f8H0UxH7J0wRUvbK8pOF3HhIn/ti+/zv5H2nnk0ah8AXML0B59XdsguPQ21sldAdoYhL7f5RY0DtpHqDgbkYpD+o3V29SflcU/XeWBh5I+qg0A21ik21rHBYmiy8abK2l319AdsOhwoDd1UmWTP7xsPMMHlLLYqlDgjE6jOhADL7ogjheFaI8KgNprljv153eBzjg+1Zx8KAlrGYjIbdc1DHSe1ApjJndU3wmlJsJyiWD8NTcUV0MjS7CupGmjgVLPOu/I4/C5PPc/TDKRiUTdrhvTcjm3udd3jLuEl0ye87SUXr3O5A0ifr5820KCie1Xch7yTmddeArI8qXXgrFZxJh7CKdX1syjsDvaSrMfb17Er2c95BuhwweBmDhRVDqQ3ef5TK21CxnC+WnwXrdA7AfSpCxKBb8eVifqitik+8jkq9u7JR7GIOYm0xzRAMwbBhCopd8hogepsOBnjsqN5MozPfpM3oYFEWaIcp5BViIZDRBNoEJxq+vg7oTcJz9BtMuCbEYaWsfw7lauOIy8l71cE42uiodAlP3Io2rTWoDgWsh646Wg+vWgCmZMVQQpuQXKejKmHPLtO62e7yuR0nWikpRVOaQku9Q4jqnsOdK3k833KYWfeNzbO0Nnf5uW0BnnrG8VoiXNt2l4Zn5VV/kNhdDeeT8bpMG6/dy6y7EFGVXtUkmBFzfud+9DP9ExPtTds7Sv/I9I/Gi2frnN4v6/JVuX90SnzD+MEyQzpIBHJkpfYb1zR835X5neluUWqO95LLIue5brzU/aPh4nZ89FV6g3dVr7MW1fLO+HKY8dHMQ+FwmZ/j778X16v8UvlG/ykb/MBmbyJ+CIJigDE6XmX9SzmI69y2Mx9uz2tqPwz3Yo+vfX/WHjdCsr3u1vQO1sqHbLa+BV6G818l7eB5RQt/y7t367+qt8pI77Sx4Rmfyo473vJFn7aoJeXlVaOai0zjnTUvK8ZXi7gMxFZJilk+QrLvMm3YvUX2+gNSlbt+OP3WNXTR3lKdzVsYB7oRNDku7GjRojyWMaCqGMaBLkt2mIyo6MdQLD6k4dYbvnrDXRseI94t7jIs/NmL1OXHj3aOkLiiobwcZ0ojHa2Pbb8PI1xWxKoKRARdGjo6VNowwN6lQ00Rq2i3DmnAcRtGva6EdYNgvuOWx9sVry5D8jPO48a+Q8aUAvOA25WwGsbaVxNb5FAi+XWd1Dl955zpN50XFrmQn13mx29o50eT0ZEfORu8jHb6rA3gx/YKoc+LVJWxlw5z/2r775P0UxH7Z0zN7qAiT7MQIE81zykxKy7N4UI57QjLLo8/Z0tBhR3eknB+anj/PTsgSt6pgjgEXSwR1RaZC3iS3y2LsR6ausK6TSrIHsRJ+RXMz1zUyz25Qm36Bwu8lWdq68XUy++NwKwYYzn7VsaF+1yJncN+kPAMQG/NrANlUcKqW5nuhGgbp+Q9Ww7d+m3+Xgh7EZqciLIVdSjUw7Mzj3t4UtBYdMed0+6P5ftvZQpZwYy6IEdWk8nq7zRnJ0wPL8fHdmLeIaqY98sA0xj4rNe1rynlkOE11z4ljd0Sn3LHaBsu9huyNxlmn33z54PmmBu30La5bQ/y0vHnD/sdFqVW2NeN191ljI+336K5LX2R08bN7109J7PLBxcu00RdHcPyvBgzLEzEBY0LlJVRf9Aat8ystI37WS1tMccp7hrh9mW2FY8Vw8qScZDHJtochdvXOMg5zVsZB4Znl4+7Iu7JFbeg34yDttwMe1rXNcUWvwGWzM+0tmWugZqqx5jDwX3P3m+j4rkvzH76mhA1nKn3keoAzkMwxViIot919o/qYav66APPK82t3yET79zrs663Xj79j+koe5PaOBWd1fzO/bd+1UO0xWLS7/ogT+3E/FvdynmkwEt9U4KhWr9HojmtUQdCEe3essWQhZMKwpu3PneP/bjnGkD7taXxcBrUvuZ9MWlv1DmG2vN4B7y+ncZcybhf2+/W9vEAoOfwpHRl8Cin6EfDKYh7gL4dD9xsPztk3BEEHcL1X45xt06HxP2sh3R8U8EvZmV8s4H/tFDALtg+egPKNTzuTXu/P3C70V6uQzE8PFgH0h2tD8d60biXiL1m/Tcw7isavxH328Z9RV3wsAOLj9tjWDZ/3lJoKT0lhfGP+31U0hyp86u0z8T6aIRP9oz3y+BPfL0QDqQ1XvkA30sPCV6Z99lYYx2TT6F1mZLMKue6cYBkieox21EyEPENClFuUc4K9c3WMe+fGZa552SB1caY+ObJ75Z+EXzulbb1gC10ofLr0qdVNdPGdFdtm+WW60PKdxUAt7Y/UP+Z1uTXc9C4XhuzlgGt6/CK2714XOta7r3z/aoe9Biu57ubJ2xX4Y9T3bT3BY4RLKPOlYVaUuDlxetOY1n3F82f1agjedaW+lzu5PWb1pHN6aCHG+C6QpokuvY0FR5wwAviISQMBPvh9IV4JNA6xvW4XsGz6B5kxc9R3geT9u7KBjPfUviLt+ac8GMcelsEBcPT7m3qOCBP17zYu3GNjcHZzVC3IyK3REbuMBARWLYyzenRPygKiBug1fFzGaesO8Ha/zBMBohH1PWdv78av0qvdxELvHseDYkB8/dt7rm1bFTPeBRl552+Sxkfiyu4N20lfps+g6/Y1MFrJsn1ikXO93oUmN6yTtp2zgOa8ySYNbE64XEcfImDSDxyVeLVc4dqhOG8RygNC92+VK7vvrtXsPNwtJ8neQy2ftxTW4ex5G4JbWlP7UMtV8ZC6XWE7r5IAsxzVvXIAfOcZcCOQKS4d5Ii/gkwDXl3Mj3TOYKTzyy2sKXx9oZ4b8EcY0Ycf2+wxz4suZxHmknXgFTcpTHe6qmFnu/WesV3f8Ve4pv1PdegznNOmkt/xuMtDkvfwxptEKwDdwVq52b9bNA7FW5AfwjQFN9PQTsUj8eB2+2GL5MV7+3Er8ct5LCpgH0At3G1jSe+Z9VlQhe/e1M0MqIZYYzV7o/tOOWA3hT9NuoTp7Emo4kpXSEaV+H88vGF2zGiJ7HRrqrgsw/4b62HUpYVsKc2fH8MVZN7z36dx4C5N5y94XE284RFRHrq57z2ZngYW0Ql8sTmNftUUerzHmur5JeCWzoiKfHZSPWe5bpfsVQ7ePLeJGmfqX3Z7dVrnUQNq9y4U7rrBg5/Dlvzm3JJjtx1XC6ev3q228su0juGoJf32zodvdoP/gvST0XsnzEJhpKvK+qGEAfcdmgdh49erii5xncrU5ie5R21n5g12gDbqfPA5op5TsQvZ3LmhK1++XDmWUqH+9weqB2BMegzHOvsqwbBZUFyaZcZ89q3Z/AVxSkLzq44HflK/VrqwHzOis013BWSNfP2gIAYwkthh9rJ9cuS722PDhrDJbQX9Xsow+i+4lJ9UiJwv5HHT2X+bfvnQibjjFkTslIcOjY7KSGS4tB4t7FTGCL/rQILSezzRP1l2Go/MddzKKYexCSYMBC8MKEcM6QON4ApCDWYFnreLxJK2ADCO6aBwy48LAdclWlhRn/KAZmpKow8979E0CCahiVJyZtf5u6H4CE0Fuyl/ASl6xpNtKfSUsuXmf/8LnlWev/sHtjKOIxxd3q+whl4FQ8yzEu3Kr2x9hRlHmsbnr3sGz4/SXDbtBfMJ+HusgcZzinyGg1c5d9mOJKUvoo4qFIvsKPZtg5i32S4TEGsHnKO6dRJ/df1nl5WlCS6QaBs91jPZ59B20Dj5HuF0RClDE7X0oGN4YWHwV7I/hW+b/bBaJ/XyxyGOPhergTYtLHQbcIbr0MPQB4yQ9YLZjjn05SwJ9ElsVCB3rbTakEYgyx9pLU58E2Cbsa8ihmwqKIfEoZAXWV4q54tLII9Ja9YKL4dQyj9aA8AN3Q9gWPUcTffWL9DSE6zgvaBfNxwtrm4uyLaa6KQ1ssdrtYPq1dc6Qry0C1K2KmA1fDUbaaI9XDGZz9wqtgdRoqzY1o0A9MLNt1pJ/OQ2dOGv0trjGkf0dapIKQ59mxPaFbQW96vnafmdj1ffSQTF+peVOmg59/2UTNOvUyJ3o7Opyppi059MwLjMkOMFyvzHb7CwzmfKhQadBla5ptYxih0LCXq81QQSnpf55D7xfP+Sjb4md5IsaZ+w2DSPP8Rd6pGInq8yIGCrVySisv6u+LU5X7n7VtbM/8VYaG8767ni1TlX17lVQn7rD/R/52CdmkU1/vyJkJSvSKn8hgan1mJ/JQmRB901s98Yi2z6X+ux7LtFIFvpiT+uMLceAhXsoq9V+MV44oI7qfOchpzJ5ZP17FQ+ivPY+8xPrUa6iXc8/3gHW8WJ9nU597Wd0sUrLqwFmYO6zsHj8+ouLpabmFU8T7d36xF3rdHoz9ex3Z+Sn5VpPDV26o2dKa+vyQnL8YlunfBf8w28qS+Iwfspv2dcltZsYCyrHUuG3KfzAqY/lyBsJMxfrDPT1PluYhPddnUz9pEdOZb+lfn5gI2znsxVlvQXXAy3Ez87K4M0bGQg0Kbkavl88sq8273pgXoTbu7tc71U7kAS2cxrbjBcNm5Fp/luHHLDk7hCkUDV5lmNZEZUEAxw/k3GYa96HjYfT/fRfH9dsPD5DlXaDbp+OV44BAdBrkmxzYM491hwGtXzci8Y7WNTGmgZghjIXlwZGpuVHs2aBccR8ftfkJkGAy01vFxO0dUpejflG0bsERb4uRhh0UUh20mEW3JlLAPuweWPXjVZJvpGSvzDl7aO5cz4IorQuThak912H1aZf5OeLHbo32d+29svm8by+0+O8e8XCu7lBzUXpRnuvkCxpeJx/9H9uYfSa/g9WxPZALn4+KaoH+B9FMR+98l1QWnZSORjJwqEncuLZuUbOrzNjabJMf2dgtZ/31psXzBVLiuxz1+V87RPor1cY1jznlS+96vuPNnZeKSEpbaWOC0epY7Uy8Wt9cTXsoA9JDEsCwCc/3JRBYmFC5Cl1vkEaFpiHsRd3NSlQA7pYl0U/q2wiQzHpTNamHM1eCOeUMa+9xnD59LwMT8+ydZ+ffSL+4HMavjAM+5JySFCytwqkccH3C68L27X3NRqFD7oghPJjklwXe1yVQFRygWHpieqz7OpXwSBsx8O7wHfTyq4YJM68FgOsPjTzIjyuWpzwpshHUsykeff847FV9I+MsgBuq592SXPZNEeZ9t4IsgI0C14q6HOmM8MnyR1xj5pDz1T8crzf0JZbgOPHRlUrMBTV7pcMZ/IHS0I0Npi0fG91ruJT2u64bKVSFrwXuff19b9iyNl+dzj1+QsrkIhlNYwjrHXpW1o01nOGdmBgXTA4Hqjm7WMeH33j83llD67GUsqHz0tzClfCCWcBzrWne43jkslgdG+CHovK/Vca3NeYi58oMXn1Nf0tReWheVVhG92eIU9s9UEEIldMAd97ZWOuiws8KlDUE04PN6vJxYv20sD16H7B1y5j4Dkz4l3O62X9DhuDUBDzvftUG74tQb+k3xN1F83oYF8bBa/oz7f345Og5TdB6i+PfbJ4BP/P284/t5Cw/ZUOISgXWl6a11nMdEJFVBbxr3vnr4qpuFFH70EUDYBWbVYY3syldXvIrXrdP7doaQAh7nAcX49OGJ9m18WlN0D+tl605EoY/meuC4I0/YS9bmWw9bp36fnhmicD6nE6C9IubGnvUbwjM28QG+B8U6iKa3959Fe5U+YD5jehIKQl9wm1CiNmj7ujHxzy2c853tDvQo1Ao92cFcD+nToXxdo9XgDjpCrXG9O8VG4T9CIbswsdSURz2R0i6vy1r8FT38mfbJ5IIlklBJl/fG0tp5poz0SEmzkX0+fr73+iIDTF6/cf/dpu4Clq/HUV/Os1Ng6vb59FZdwqDJxfcNLLXOd1I1NJjGRMQPuTdsLfuE3903dvFcJn+pTZJXFLezOZe3F5jzCOt71JfLJl6ojPXkQ/MdZTFnhNuLAVrhVZi/Sd32MswP8GszDJYuQUfFeCt/5pVGxJGHhIcSj5EwvRun2fO3InvE8j5lnrDoRvvdm4t5Nd6fiJ8JHgv7uaqRa3isYpwS/rsnNiae7FIYD+RrI9J36oI0TCNI7wd9xhiiwEfznNZ7xW3fli/WLytVoi6ai7f2n02e4EWkZCn9S/D7WmG+G+WdwZTOIfy187+LnE/zq1kR9W5/lv5xHp5jfizr+AJzbKpcmf68Av+IhVzaZb7hCifLGqn8IOeLKgqvtgzJhk+Ui3HwNdtoXn09S79uJNHZwietPCZW7+s43/JxpHNTlrWofr/3NK6HifrHwC3KMOqiw1zTW0omnw+m14y/VE/dfyJqw13JkNcI/mPuE0COohTroc96heh5pl0DkfsNQ8bx+T+BRkiuAjS0INP90aD3YSzrstLHbTA2H+3EX25fySt23Bs78t2M4X+0hoYDnwDQ24xuxEpRGsqb9mEg7B6wZeBdbnMvWDHZ8NjUV8MMe3K5nOVG93oVUfz6uIUS15Wtnlw2dY9YBaCdIirVde3j72uX9jZn/LZrj2jvLgrXUl/BNwI4rq6r54f1zGxHO3fGYdVQPfND3Lc3108tGw8qMBd5N7CHp+nVfvHs90L0t+Au7Q24lNZTMe6jut691iKP23tl/lHppyL2z5wuGMzBKBKSVuagpt273bNaX12IghTON0IYcX2+aXaEcDsP0YwQ3z2Mm8ah2jYR8xTVcwir0+Bw4dHbNc+a0djqvh5KWmYE7fcSFkuMKJy6D6FFVSt55kyiaurUkwh6SUv4sAAvc7OLwjgqEFOgXghKXK4yrzRfAIBjHEpkYVYjL298iam+mMMt08eMVXkf1VnYhOQJam/HHiwjZDIxgq48Tcxmn/VVYWjZFL0+Jc86hpmZNSoX4Lun1kP2DDNozGjcQzFZBJL2GPn6DSlk6qJUb5bXGelg2h0fNM+PIB8A6fD+2tIbELPNvwvTokKMbq3AhW5SkkyJXIdBgc+dz5O3YYKBuCK+zEcAVhkK/+35T8I3rrsycT4+gggHBtEh0zDTdALtHNaP9cDQhzz+/PDD3wum0rATXFcKbzh9QCiaGiksJBrN41FxLdVb+y5UP5A9hr0/jfL5mBb6naIWyKTFU4mmkzZzKN/dmvL81qhglO1H7m7gZytddYFXdK5tlPnWuWfEgPm4+BgURE+HS6wEovogZlBRx+YCZ5/R0njutMyUhqLUPxIunDhXhvvy8Kkmpx+FD96F/nPYa3k3Jjk+R797nRsrF0oth9vru9H64DthMfvBYb60Af3b+AzvZabZrBhmQNzDpXvHJw43p0/Ox5wmNN4Un+2Ohytie8MhHb/cvvAhHX85ZgznUwX/1+1XfGsP/Ef7hv+Ub3how5eM0E2/njcCRcKr9mgd30AhoHxsMEIgH+QRe6oAX7MeEcXjPHB2wWECd3i8Wj2umHWrZWAIyKeHjbJnx9HRWh+ewDbRw2u2oZ9Gn1zwfxAy2PzFARIk018dNFBOSbRIiP6Pur1Tc/7qPqwW/n7QGQ1DKBaSA5dd4a4Ff4muxZQ7nlScaQO/1XBEYHXOCQArT1LIYk+8N3kZGj4YLR78wagojCArnSA4kxKD8z3Z10eEmvKuwBzReXZdIX568ZLl/dxgCRi5r6UfP9NvTDte6J1iLoPg9T3Jb9fN+FLKsBLY203vFADLlxXOehhDa/bZvrZTwvLn9pBpg/Nc/ofvO93VQ7JIMni9UMJmGPgHog8MWxo3BjcMlpGUsPpM6Ubtcb451ZOQpumv6z31IY/jCvcKg/hzwkslXjsO2jF5jeir4wrLXlSvP49z744ZvvQ0nksoT7mySdSV24ZfZTxHnbTh8LydU3EgZ+Z9kkJEyrMYuzq45Tv/8SuqV0vZFFFKShsy+lLlaQ8HKv6MygQ+FE/SBL/x/l4+Gf56plj3PLhYE7ddYee2+fHVutvQtGAVr+jFZryDn2XD31ThCneEkHV5piMZY17160oJu1Okbdd97RfPcWqowEt4G+vngjaveKvLs6qMC77uYmwXuKgfC3/IcvrFvrWA/WQ/rHJiOht6AS/zpilr3dsrb4rJika5Tn0r/bJtdrTjykwge3jzOiQYEmwV9/m35HLeL+4r98Hn1Oufaz4v9aF81TDyVT+L6UhnTU7PI8z7lk4hlNDLczjdE1pjOgGL9Wv3xIoAx/D8PBXQDvyKcbXMh4Xu/YZHUnQeonhgyGV3A9CviekYctrNZE2ObOTX2chxDtmwNbQzC+quEHXjXVfAChBGvQCWe2uv0sNkw6/zsLtfhzEwMO6BDZZCFF2xKIQHUIZ0PtEcUcnGcnyCHyY+cdRT1qAgo2HZX+K50H4iE6+WtUa8RW03VYiZtxpRJFg3BolRH9ElppN5DHbEeQMXiLaz89puH6g05dVzzuL9TfALvZ8VJOXqZg+OSKbkfCeFmP0wr+3r9r84/VTE/hnTCaS7YfmzpksmoO7GpUzZRJ4KnImQ5QaXcMGYv6+Iztjg7F6q3SEVMK0ysKnHF+WBcYcbH8q5leoTApLCIj1Jl0L2jggD0wtBAdTDjCbZG3YD3669JRyx7xpzt8tCpK5z8azNnRCwnbfCGEb2hXkmWMibxYVZ/811AVjCKqX72goMYlKP9KmAv2Js60EPhyTZMuTFo2+xmLa1UxnayRBIlAXmOoh1IqVPV+sTpnDydblhYFMRr3Pz3pXU80TC50aRJ5PKv9iAud/gtp25cSa4zaXgTD94iPygoVhGOyMyrMY1DiRUx7pnRoX7nJRHRAKTIoeLNGqaGRbu6sWY8F2n6X1dj8/GktZDGlOqJ63v6gFW1zr1k5muJBBv+hLveilb6ya4AvbKGzse2PqJNVPu1EnM86aOoGV8GEl98bHneWMmeDSlE76OUMgx/iQleAgHm/5j9iXCre2YdWKAX9Gn2ud4R3i15flj3804mGiQV1f34g3Dnw5kKr482ycdx5HHJnnxCVKd7iWsN/rufWB+RzEUzdUggPvF495pXssYPj0ko/a4z0nIMIOuoeiVwXf0yQ3N+10bHv0I71gA+Pv5ge/9hodpFRoU93biVMEvAB7aRkhi6mfDuG/2EJ06ZGujmUDNgrML02cXnP1AN49bVY1wwy4Q92PUcfaGrqaAVUHvDY9HK1bMAmBYO2tvo14OM7XBq3mSYnOiMj3jScD2fZEN15LVM1fNdIl4izjUUoSQp4xHWnAEgEeLSc14PqZFsnkG5DVPXY53Y+Bo4+OMVxu4pnpCKW3w+jOlPEEXCu2xoEybNvLPPY23IzeOSMNlfb8nI0Q2zlza2fIjm3z02xVQ/woC9J8u2Z685acVU+7Z7j91E871vg1CVZYqzfnblRAMae2tgCQ6DaS1kH6/ACHdObXbdCt8uocn6nrSZ/Y6qAfDQF6brNDw3zXPAt6L8VZBRFRKXpJCOOL5WMYs8+Lh0xOcMt/XQ7o9rIXH4PnGhCXx+X0TLYrq4sN9Hr9pGLThazZ8aMhuxkOFwgIU5r70IUf/YaBXWB2oqrQKo16n7dQfGpzrtOM36xpxHscyeySl6E8HIryf3dsZOYQ6sNljnQ9NvPorWJn+w8a47lnA6um6Gxtg8cbeJq5rgw9LXiqzoHbhO4C5hYW3a4EbNO/LO67HvjM+RHut9I/z+CNZx6jyNJc8f6krpYu9ZNdG6heV386NOL9I5ThvnfMdHDzeZYyZR5QyXsy6pfp5KSsWT9R0nsVrdvPJMO/ov7/f0njqK8vs2/3OCJ30bDDOWRUII2YFpnfsSl736QpG/7pxSgjZ3sZ1hwPLuqjzLRq4H7SL5HKmn0nWYN6IadZidJ3rUu4L0Qx1Qwg3PHkY/rSxWXQA5zGUn5+PG7oKvh0PNFhIYktNhlzoHrF/wRe+5Aiv2Ye2MNQNeU9b8k4FskJVdUTQElHcRRel6FZJepGuvGSv0ml7X2sd/ZwWdVUsmuH958apohDaF+fa4o1WEWHAnT5g0srgaTb702jDeLALGuY8knTd4yAmXswH+7rSewB8HrxkeUZvU8ZJqNKxc92HKSUeDXPvDw/Yq7W2gecKFZ5dc7i913VXz5O6XyXnWWdf3sfZf1T6qYj9EybpivaYHBgLRuneWCBt6nFn7PkE8WJjMiIGWFi+PZLHoYjnY5iofYc3WdUWa+bI+2V5j3EoKA4PMIUra0O6zvCsVl+07Z6vTHh8o3p2Z46OfNXqtxIxlN+LglPzp5wzjG4QKYejehiQZQhbiriH75YpdyBjs0JShLQv9zab5RclEv8WQA8hhcmAofV5DzBbZ4cCFbTxbTYS74+c2YujGV6eH9MLRnV6GzN8fDAf8JFSJ8K8osyLHcanNeBjpoMJa7xJC8K6dN0ABfJFm7AxW6KYnqeYdSfBE47fivaQVflLHtwLY+5duQ1PsmTFV4QnIDOsoeglBhLnHEvPP8IZrR4HufcXycYvrHPJA11lMqXDKx7TU9GVsm3CIEDyCp2e7ONjzJWNXwdww1DoKSIcWDemXHycBVOx5vNFbSQmWkZoGwBon2v4phTmmZ57+J6tIs7qTocoF+vZQ+rEwbt9qtM7Xt+fA0avn3E4mqUQPLUtxqHqCRBC+E6xgpnH137QnpoCvwcNaQ8ZFrkHKFxpHi89kI0T7J0Kpicj35N8IhR4wvltvALXSFEX68/f+zg7ztF8pU/a5qRLeGGmsSWazOs/hHWZuPIDcsykfTwesdcY7LdZv9OngAn0rlGILCCUs7sDCf7kedkdUg4aXvpM4x2h4BUzRPFhtO1DkzfsDC3lwgHIK1lyG74+2GrZvQPq/ghkeuJJCb6LfQe2PzVg7Icy+quPQejci/RhAvFQqN7QpOMvdjfP//P5Vzy04aOd+NaGJfS3NiyjTxU8unnH4k5CdI8QU1XoPnsLq2S/5/WwsMXfH0d4s7ouq5mQ7iGyPh+jTv/titV+NnTzLpVjiGjzbqB5v08/Tfh/EII62D7Avh9aHv3o4905n00LdQmr/TgApnl0fPI941LQpDUbBlCM06A2mHZg5o01RSk822lNBE9Okrgf2PeiTM5KAM28E53Uxh4QfZlXRTCMu75HXtoXfI/390siY8hEm1Snh1fxJFevS3HJY6V9g2hWer8Bp1F9wcM0zDX9LyBQ/0unJkl2SHPuOIpx53Xag2XiydgvNncpXzKDF0lHW2HVzvtS0FriZTBx/6nVe+RVa0b48b7Izgrf2rk6MNoaMqR8mX4sAOi69p56zwb/oLRe1vWwGPQyDDs4ahJALQy5y3h6iPGheT4g67MkLzuomt9LxSklXNzRCO4H79mcj9sNo5yNhwy14Vft8ByFksm2LFYw+3gEjhZeRk7MazWAsZedYyDimSvFvBrmTxhGydOWnBkfQPty3Ml9ijxX+4vXzRUyTwen4TQsOmFeeFnb01z5uRw8e6O8d/n4ntTn0l8eBwAz2otgKoFKn3drLXjTnp8PvtJoRG1YVwUvl2Mc2YJLcC3L3nndctAuNLZ5/KidjVGr54mxMH5Jw8AcM4oRCs4R3wPZeDVe7c3I+MXtLwYZ9n0xpNjRpDqeVK7Kod3lt45h+Ci6xx+nGcCUsanvuzJ65Hy7/FL66Mo+Ic898UgstzmIYTwQ51DUBjDPRZjG7cbax2TZs/I4Vd4WWNfh+C7TaNfXNZCiXM25NUxhPK/4RPBGqrjrdGDj2JHmvRpfMp2RuqfMcXFZ0j1h45yMtFIhE3qUgXMaCS9jSbAtBqE2dFP57kinad2KV9CAEw2qY7K7AA8V/P2z4340/HIbcuCHtgj3e2/nMNKVjibjepuP9sC933CTPq60OSZh7yr47LekiBU50rRzxKMmw/t1RD2aV9HwVuGK1ldsRFXgupzo7IIrYT0iU3d+zSZQTenqv+c6zPs1f/pwBwy0zwaeeEbP450713dLPdw00RVQBLJ452XxZKw2/ah92Ob3POFMx4RI0++5ZmW+t7oWuGgc+dlYa9PQ3CtOUYuwWcfO10Lmfhlr6mLzVCQeWFQXOcV1MzXq6zZccYIn9zN39qrQPyf9VMT+ydPWIn2bERGqNyHkDikFZXHnhcPWvIO4Ca4OQS5DRW0zW/3hEckEJcNTy9WQwEnAKnAs4YU38G7TjnawZ/HufS/5ot1CcF94wz5NhchdUn4m+GneM/HOgD6pjvo+GaeVQKfqNuO9FZbBQkKGJx5p6QfW/CEg2OPq4ZuYrZ1XmCskiuDqWSL0p9fjdwH1NWwOJ2YYn3E1obisY+BMbOlHFYCCAZG17/sGkfHvgul5C0cZz3bMyRskIeq5yk8MOwuzOxCX4j5+FRdqub5/Hm3u0lMOjIAzGHSH6/yoMpicOr1YgHzxm/FoU/ayCzS39dDHlz8roePwIjr0IhWcl/ruVfG6H+7WmdJffV7LlPFZ6i91vqVQ9XFp7y+Fq3omYOXdZu0IML0GdOIXC7Qzo33VXN+ufwstIvhCKVv2vXqYEIpvO2jxA47Y480D2sP2Bag8lxfzWgXnmicd7BXcDdi5f7x27bsr28bdNg3n2fA4532vXcUE6+EZCyDuhHVhuhXA/a6gm3R0mZ6und4DGIdvMiN6PyXzChOWFefZkiJ25hmKVXUP1y4zXCL6GI+zxaGfK29DeE6V0bguv7Wstef8wHL4XPApStd14bi7rZ3q3uGN7Mfz2R6/4/k4f6Wfz2jGK3ryDr1h77RncHK66l86jL6iq+8mrueibCjHaxcCF36kwf+D0zt4snjyPEPy3wfOUk/wcyszVg+SJz87FZgTR557nL4F0hPF6NP6Kw/+B7U5Gr4qZ1/47tia/6mcUWi/IJjbapzo75/Rvswr7b1Tn6ZXMsqOn/PXsU9f7yOT5k6CwlvS075RPcrjXPajudXZISbxWwl1dnNEdDX4/yue8wWM2/RiI1xo7C4v0+ySLw5vd7yY1gYYYMpDxYTb4bZ2e8cz3ny7V20EmQrPs6T5a6Bd5XXeTFUWU/7C/aR20hGOzMF7SoqIp9niyTtwb+b+7TIbeK7S83MOfUmPnvU9PXP6xmWuBrH2mQtz/pg3urPS81X5g76rP/uReXiStrxTXb9XeXdAgmktZgjjXf8rrBs+mKu/UpJXGfzq/I/1dxVWYFNwQ4+vzh8FmFdqeJZe+hEG1rY4qS5RDGPSEzPqxCnoIng8BlPzdR64tR5Xyxzid8VOQP13l46zneg67n/le1oftNF0TFnS3x+icY9VEzuJtWtt0BuOlplBlz39ntc0uHZFjUdjUiDCHrvxb9XVdVW0q4Ufa6cgTCwzNeXoGhY7HwysvM22xYq3XrfJ1azITWcl6nkzTu4U+Jd0lmn5AnFOb50tvZPe2R/59RXPS7RZ0thIMDqXa/UViLXNGNv12Z85/VTE/hmTYloiHoOgh8fpFU07Necx6/gkrDBjS5zwgvRWzt3VFcC1RmKWW8KwFsG631YKuWyGsUnqJIAbz9p2alaecR1UT72cXnVzf2epGzRuYXndxMITDbiSpSsLx8WKGe7xe87xfpWyVbTBs7NMLnM7vHsk7udbGD8fC6q7PTTmbsZmn3Akr8mobxLgQKNnXrycp76Pd7BxynD7YT3/9v77AQCHQA5Cfs4xgQLysE29yRwHs6LrQMYJneNlyL8qOQ2PkjeoW0vzGAPQpuh3if45/DGXjN86mXP3LE2Ki4LzSYlh8MlD4rvKLCd9MtVsTZamVUbBEZ6QYFWa3mBiZl+jX+QNHzxWR76/03GsKr9JKFlC3h7UR7NEBc9J5cq9TvaELa+8bPtOZXWON0D4UzyaAcTdPNHPUnd48pglZtxvKhPm9ph3TaU/b66bdbzjON0VLAo0vg8RGY89bzNa5Xcq7zxmd4dxMR4+/+RhBgB6n3jlFsDDe4zoIdcXtJX6YjD7+FRleVRBOB5r/GuOV9RZxl6q1srnTAb84XEpZQzdU8+TaMCZhGeaC4Dq4HWsBN/V/l3oZVrPnZ4l+h/kKdUT4Vpp3hxJ0/3oGjJaxgOrRzHbTPs6e7/DcNCiVvjdmZFC2Tp+9jvQv2nQTW1qIYp1WJazB5zRIPYUbycgjzy2PG5pTHluF14E04r6YXhc9ho5AZzD8147oDcd9/OeCvls0K74/PWG8xT89dtnCK+/9lt8T58QfD9vJlRLhKICOv7t9omPduKzH3j0hk6W0oBZNmPeGeuesEqfbOs1wwfbfa9qfVAZYZUV816eR4M8zGI+9tdhPdBvCmkKuXUcxxDg3WsWtlfoaYgtCrnrUOhCAAuHJjSo7lUexk88j/THYcQSzXHveVujgd/A5Fmv+BAg+LdWPGtTNAYrlyIVcB1jQlL9k4bL/G2RZuzEIkWQWITLQj+CB9XpKeqeqzUlXtTyhhdXNcw0WMbvXN9Yz4O3S4cNzkf4vuXRdI4NP3dB35igMz1MtPOQEE3iwO4Zr/4zLUl0DT83XtB3BZKBKX9WXHna2PrIoxhdtZM8b3fyG/NqiQ+iu6OCb80AXB6ElfZ5TVTPV/dAd0VTfVfbAwo/UNrbjeFVCO+QLRPTs0ZX2iphS9tb49fCfwwa5c9leZ/6UX7XA38JRjE/H/AyPqzltzyRZvwI+dVov+P4MvaFLwMw5XN7FVGaKJ9YhuqpFjIYz3WJMATzJo6+NYUcSAZcz5Yk33UfHndBqzcFaI/050mB5ePs/WFYeahkjl+CkcvrWjYUDT4eneYCs47gT5mmcF0M9xlb5yQ9xKp6/Ve4H6Dzni60fwvWPa3l31zPxF3MsziqlzNL6e/gDzZ9pnkLo0PuL+Pijh9QDB41jP+xjintraxIGF/H/0UJVveA3RjUvBv4duUyP2NwhTyylplItZbb8hB1DwHl5TXkZyeCijq5Hl8/5QyT12QCm/AxySQ1oouOhoIHFKRzokTHap+1zIHDiVxm+47gaiIjRC7PD4/BIsTOn0+VQ8wrPNsLvepdf3z9eNOEI0IgQTCjGNlfCnFsdclpCHLRFvP1fi6S5A/vuxtR7/DV8qVzTQG0+9m0yVwPgZ4CvTV8CvC4dfznMa6mubcTH8eJj/bAx/GIarq2CFEMIK6y6RYV6UvtCpyCkPd2JkUsf3q6uQzZOr4sZHA3Bt/lyCagaEhDMXtQfarzbtizD2Nk5juPY3jf9vPA0XrIqwCG8hY2xo3lRwCHIaWfvZhh9nRkcL2EZLzzsUehO5hzPfdnlDkexDXO8miKJ52ZyMUyUeKHqP0l8X6sSLyBW9nM/dgXaCHIHsGIgX+il9nxWrWD6YzOm2V5emNsnOqUfXSJFA1Gx94T0WuKMeK7Ro/b6zY1f1bZ8qUM809KPxWx/w3SFGSmbchWeHEB+LhenEt6smm+XQWFT/vxwq/bXUI8OSNamSXK827KyspxWBZ3KRBhuupfDrn0g6v+qs/E9AEIITleV2K41Gs4An3OQCEzY8+S73tT4NhbsqQ+UBtcTxU2Kjwj49xFghHb9NuJevSD6ySGfTK6tonRAX0dAz4UDqbZlRuFua1C3tIZr9gEqCUbCQYsONU0GfPysuLlM6bd3wNJwCjO5bW6WYePi8wxdYaqWgxuK9r1y8EjBpznetuPyhQzoOXdIkTuyv2Ww94dfm/4hJlf9vRBDXc9bBCDS/VeHuBv0vbgR8rnUujFe4KH19RbFG+Ht75mRKfCc4P/MeVSvndqX9b8UR9/Io9NomkVZM2fy8HmjhnkR4nmULdezV+t60eZSadLBYbJcBMTT2V2THsSOLzuV3sWp5hjy0KCs9K7dOhwAV8SkmufPE9pezuWNS/Vt+wfyHuBUsg3pxvaBWrhiV1J+tADTRU3syDmtLtjZ1pDdzRplqcwHU/wpt4JNLxhB2xd7RDAPqESdxnFnUYeLrhhKMMDeQBYOOkR2szDE2+A8fkXpbkUm988WZc8yTt4Lki04IdSwZ9d3RWOOMzdrIO8t1zQB/HsFxs7sN8XaI9lWP7I9Lvr24zX707bdftHNvDfOD27joXSpYyk5f0L/HgVfWiX/zVweB+fXuV9Vc8FOK9kpqWZSgt+IHEo8rVieviuEvayofp7JaKv6MElT/kElitcu1JOMu/Ced9OFYf9mfC7udfXtmo9DEPIO/zafiQYLXSs1Da5YMVdxdyTq5xSeavfQLeDX3+Dz18Lo2x+VLzwyfwsEvX1cq08W8tXvNwLvHDl19N8l4hY2njG+y51voAJhINU5CWaO08gBZ8u1uEy1r9lw7/ioX9H+mH+jdeD9Vnrs10bWt5fNfrs/TvzzsLwFV5q8R7/g3m5d9MVPznAf464KrJ4rq84Rp/v9pHKL8cEZXnyOdgiQ3qZpf4n67vQ2WfrSuhZkhWXNWJX6imGQlF0yI4dQxZrw5D2THLjML5tFDWpyo4HWYUcUKCdI78eSa70CEZu/FuT2ZUkQ+FRbihh/V7Zhmnce0Iiv4c69khQZx+RoTiJCFobg+ahkF029THapkWLyuM6i/5hy+dH+M13yz0T9VyRHA/+MbLNU57pam3+I2jSsp41Pn8kiuo7bVzyIP8C8uNPReyfPKWLxZ8grt/1siC+XTQd98CSZ+Z2sZ5ACrUAZ2gVfqfseDg++i3DlO6zYq/EyAAkb1eHyz1Pw6NgUttqQbx6aGIhftOS3pSrL8JBRWhj8wwNYi8wZZ1ZdCjXXeBgL9rud355vZL7Yn1cYqRznTtB2e6BGp4hEvDljDZXzeZLqLyDak36/Wcx3gTzKKrGTMyxCC9D3lQSvkyroWHZptGGAPM+GGJk+I62MYY++UieM0npQuEw404H9uL0uv0zYDKPLDWvcRN++w2hJAjm/2KduEetH8gPbyrzJOnWT2e+RdEPhYhA/a479nKzehZDKJl9mzgvwYTG2AjGvUIP94JHBlpp2HhcWGi4xTRhKvJz/oUmOF7p7EOq08kRv8Mc3wBz8y4Ou135wd5qbtHGh1gK87QSQOd9Mt13QB5TazfuwavMfKM84ZFlY+L3Nnb2xOY1PeuSxjzAGNyJgzK9ncUs3fqmLV7fXi/1vdcdXjA9xepdKO5Fxtlt/Sx3GtF6Ww5x/L3ftwxatxaOp998zVvf7F7QmDc3SnCjCB9r3zOKVzkaRQty3HMltouQZ4GzrGMWnATIXs60f8y+aA6RS/D0YqwTmYgpdJrUef/7kVT3ct82H8DxkHGXpd+zyvhdvTo6Taod9rFyKZab0+EOtK/x2e/Id/gS7qWDDsYxhwOTPvUbxr05HzruhuU5Mk9MMU9NVwzKKQFn+5pejCrDk7fi9yXTbuU5H+9P6R4np7W8ZzpuureXn0ZIVI/vXzf8r+9/BTAE3FubAvUvty98tBP/dvuOvxxfkaeJ4i7n9HDtANoDN5kb+kMb/vb4iJDHV6Gj3DL5+/fb8Ib9PMY9th5uuCPuZk2TJ4j7k9Ale4ED0JuOO5geM6yWj1O728U7fXpWapeJLOlOKgl87rcxnu0zb1NM9z2KgxkrJ1rv+3wYjMea08CP2DvEcXr2V4H1XirQXoOVjtR7X2MfyVXU8+r8/Bhex+HpK0A/JlyJ1/Chk+LBxWOgWJRm0zrf+F7MyDYLn1pgHMUyE1KvbBhjKwieEXPcLw8yy3ikQ1Rq03HPeRhheP8FhOk/QxLyLKt3MaXEvJzjhz+/oqNY82yt2et+a8/S4YvzJ4G3lH/T/oxQVPJUnoSbvFASV8PWtbELOHYoWHmAZ3nLu4j0oHN9hqzt1fM8RbnxpRooR3jgVKa8aywjWB3qOCCbten51n4v4aU3fV4iclVjAcZVp4G+x1K9QY/Dg9f5lYm7Vzq1angT+wnRcJd9eJ8wwOxMxMQOGfyBR2gJubPgeuI3clfzD0H2not6/fxgX0m9w7AqEBavcinTI6OQQtZIILwHxak9jQdAkTPy59tKc8d3wrfgtexR3PtKf4sXq9J7LwdfWxL1LdtHHVadYOX9NfePy6b7B0t9aX7K3uf7ehoLUB027q50jfV3BQ/TE4bLcGJEkmH6t45BnJ3wM+KHON9uLAIOnk9+rggP0BSZjcr4uYXDHEbZbdMGtZ2WXsV3iuTj/eNxTnkD8eiT/up45DmQLd4EXB7hZbM+Fvrh5SsfVGCOTyofP3mL4zHzeo+1z0meu9rrNjAFv72jw4Uucn8XOZLwHjbviaZZFKPzQ01O88hKOnFEMe7uNpnH+5XG3+m+w1OMoWJ96vqOaVHIz3xmEfMidNYukyd7NHQAX183CIDHt2bGuw3f+4FDGj7aAycEn+fH8JqVbiGHx72xh5y4Y3jIPvqBh44Qxx0NXWQx9n2YIvRh3rQeWniAqWgAPh/H8HLVbGiblKfpmeA8hxGyqkwvfY981U+0NoyRWuvoveE0Q+BOsqAN1ZhDXgdOy0w+klPmuTFFQmKZgdcX7w9+huDzmM4+NviZeTHsU6HtgTOMr4W+vqN7HuuWMu48Ujfes7V/V/Uz/PWs9t203YP8+en7FhMIf0+brAA1Gs3T9GIeFhpZadp/cfqpiP0zJ0UIyQvRqEkwlX01DG5sgLoi7uaAY2H+3SU+ERYLcyiYwjht+NpAB6W1PkzPU3oWsG6YTN4UXQmZDhAC9lwufhePM75jNsGe8thPHj/uw5PDIRcSI6QWJ2aMuI+btITDckHaQuw+JaBlM9jCYPO37aPnM4IWITzKOF4pk4VRQjHDvFLdrrRdiDsxOv474QhvlhVez1IFDZ2weFvMuAsJ+dce0DQsbTJ46rAKAvBFuSiKcD+lvsS4sDKMcaQI5goJfE5MsPXPFYOLsLYbD2d8+2SiYlntcMdhL8y6AhHGKz1kHPWDt4N+e7+9zip0MYwbZqIKP8yALUIcqF8mnKpgKBt29WPSQmZ0lMab86gxFwkldwyQKyIZTm9Dp4J3zgOFlOWOXPUPiPCf6fCCxnlhEiu4THdrX/jdmdeKKCKcGXubp/DYjDeFgZIuyTs4FM7uTUle5fWgw8O6RejhpvngZjdQu36BaH+l1Zh45Xsce4MLwczjvD2weyfRfp3xBGn9bEPQlb0+WTzXvvJ+STi6g3fHhzBsfKAGIDxhewjOpRyNv6gpYPuEJdbEhQGUcF0JUK9zXQuzPeovlUn8AOdRgoPaO1Xw/THZbdURdurWOhpGCOJv7YF/P75baKlhxXyg45SGe+/o0nBHR7cBbvBNd4YkjpCMGMpYDlGssJDEXw361YCHHUicmMpt9f2B+AemozzGzvzE3m0dbgWRRVHXSJR3ZPGDES8fxko2XoSDvPbqVQpCf1UYTu0q1cN5NnBWer7FK/mBpVv2Rm4HpswfxmBPmDeCoRpyeKj5GnaYI9M4TajK2KcyxLPwUJUOXuyXV3s0kGnYs/YFmxDM71hP/5+ezBV+jLOsePgKgXkN+L5VlH0vU2mzKoiWPPa8Rh1iBW9VKNf7Yp/CsNm/X3bhXWv9N1NSVu/gZfpbD9Z2ea+eF5DfnbM09r+j28t87WjBlv6uvK3AQmxX2rwUzu8T+7Nr3+HUbKQ8+0BZmRcgHmLKzQUur19AxstK+wszScQn7XhRCdZnwYW0r+1g39DmqjxT8Xr8fl+9HmPrW9qvXanFdbti9w06k4bu2bbjPAA9W/IXvPJy8e4ZDWDev9CNnSL1VbrCP56bK1lzFpxlFhzbwfMOfDse6Sof4/0m/9XB/pKkvKN5SPIVZn2szJAuI3QpsN9DuFn/XWCWOtY/sh/YvsRFl+8F71KieZyyzBvNEg36LeR4KwcxTM7L7sbmjbr/sK2x0m6ns9j3wQ1U0nU3ToubQlQSrgmQ1/Abe2qQwTIuaV/wenkv4Je0htgYFHbFDfpQRro3KYDwigW6fQJf/RgK0wbc0TFuxxuNNOlosPDFZizz6MCMpTzydvi1OAMeV8L6Ha/RRVPC9t5yeHdTnCblbJf53M5ctIvZSypEFCoNXce1NkAz5aspgA2OlApR8etsVMaBzzj3oU0x7ad57KXM57s88NW++qMp7dkG20uavyv/Lv9W1xDV48+2e7L+OK/7jvwY7lk7PnyzF1ztMy/Tps/bVM+N/gvST0Xsf+dUmUh+XhCdLUdzHURgL4SSed8s9oqSq1BWvllGfROGiNO+C6elpUx9rvClbnezUL3VW5bHyJmQ3eFCYjR1HBS+IoTe/7CinZ60Y6x8M5Gc37xrX1mELJbbcb8pecR63qREvKBmLnzxOJ4I65VLix3zqhalAzJinBUy7zFzmJrmtjDH20ugNEMAAQAASURBVD2OfaCUGIw4eBVkYYraZBxixqhudulg2TajsMYEPXdm6YE4lKj3EnM4TWes5Ws8d28vvzNzKJI0mAXPr8atubVeFWiSJxumEJAOgm1cF8vgBvT7xTr0apOQU57xJrkOdcormOO6JSk68TEyGYzgssbUq/cDmF4SbrFJ1tqhTCmNLve4WBscRifBbs/6bXLXzlirMc3+u991KhcVwxO2MHdT2VYBKzCBvrO3bNKwcdlBI6RYECZmpiiFQmCodPoi1fW8E9gXBWAtR98DLx8yGHJTwsWBmsPm44lcTz+yYUbMCRAew+wJDyFlKyv0q3KoMsKM83TAJlzPM61Bx4IHMS6b+a6MeTwr/eRxmvc8euU5X5pjRpGC5wGbKbjFDgljD9Y8J1Dg/BjPQwnEc7tRRHod/SAaK8D5DcNymZ97ezeFis67sh6y4HN7SHilpwMNFBrIidZx9J3mQW1sXYmelNx9eLNAyt1BPq4+J6dMFxlvAyN81NE6vh0P/M9vfxt3ALUHDlF8swud721YNAND2AaGYH1vZwjfpylrH9ZJv0/23k787esDn+eBswu+zgO9N3x9HdAuOL8fwKMBXwL5arEHyik4Pn3cCl/BqeKMz9tNImyxKsZhQgOkzft7pLngjfCM1VPmfT/+YYp2BcIaWtyr1ngSpjMLqD5fr4wbmi1twfBmDpqji4IXQDL42R00RluVHG/yAhu8ZA89m4N6CO97IStGlgNhxRSgK89AXsKLx53BujvYH01tNterpMjeY75OCq2KPuyMKJyXqnsKuM+Kepftz/RGCnqn+znhdHFQsXiRAklmWWS3wkPWdTIry3DsjB6vvGyzUnYP9+5g55Usd6VwTjhZ67bforMc38GelcZZnkxr81lfakjiqyQIudL7URWiLr+wAXXs6/aZFXa180i4JJj39ta58ZT4Ids3HL7x/novSrpBrmNDv6pxzm7fWOQ++1R+1mfZwUOMzSYMW4xEqm//ikvaJDbGiweeMWhxLFBlZZpsPTD2OYraIVbFEjWGkx3Oe58zr6iTF+uYNH9TV+zJtW9UzMdqHYDSb9oPeMy37wiWraJ6AZTKJhymZwVIUeNTiKdcbAIcf/m55U0RORQzklK0l3mG6IvD+saethghe53kvbrs6cTPsJfsU+O11OkKxNrGsmc/6ctWoV33ih0YMv+2+wXh5Za8M4w8fjWSjiLOCiIq2I7O22MuF13huqoBqymOFh6IUx0P3Tzb9G33fFE+En8m1Ec3mOb+ATQG1YP3CZ0GjCYWfE/vd+VoLnie8nkmoDeMSEqHyaRNI5qYe8Rqt6v7HAbzmAw5j/4u6Yv/rjKu52HjVT9jEqQ7pAddARokwgRLE+BUwDzTz8eBL1F8Pw989luEIh6RjkaIYk+H6DDaNUCbecgCHd/aOd73w8rO63A6HRSyFywnf+5K2McjK02VlK2O5OrfT4n+QDTorArQb33Ig4eiuTEFyYFhaKWjrMAM8P1sgiMFBbA8QZKeXyobPYufdbxBd2oKuZEiPfrzRV6sdJHzYvQ700HZ0zh75wrZfDToHVn7XGUoFWz3mSvF7LO0k9NYZn1pocHTVuq4lE2e1eVfd+Ve4MM/O/1UxP6ZU2Fg6gJYEPiKyOjFc85SvSt1U6QhCZSitrFMep/hrQK2MSPsiRFMURzWa64nERZ716dCsh6UXlnjCnR6b1XiXheyYioWi2J3htPQJbRGKGQcLAH0yBaiQ8mLGdZ2kzicVFLUCUIJG+HqnLlqo63UjXeYY2IOBVgVlZibyCIAk5dbqgQ2D76JsJcyMVexkRlzmIRyMxy4PGjluS59TptlDS2yqcsPlJpNXL/NsQsYk7V+Ztb6HdCbot+MUfzWI3wuFJCHoH1v8FCfUI0wuklBg9xuWre+4TNj7f1TpHCaE1AaB0UWFLmesh6SYoJgmnODNXSSZ+G1WJ6VriL4MFNKiikM3OoxnNbdk9KVtOXwOWCNg4WNtzyvt1gvSDTIYfWQJ/2mIxyOYgomlZEXLjh/T+bN2rN3TCuiqCuYQUpeHqQqEDE92XhfsjBThe+q/E99oK4kBpPmvZare1IoUh8CUcFpwlPQD+obGwP4Gothfcw+BJ3zMtHnbJSQ6G7p044WxhJwJpmYZz7EYJh9TLd0ifLw7xDCC5PMzGKl85yn1p/WrdNUfg5kRbHD38p8Ek1hxZjTwICd9vOdUphx3JWX3YxS+rcZPiopewHoLdNJQMLoIA5XPVw17VfBQ1BZxn0/UA7FbUlMu5dDCwUOogfJIOccXvRdbA8P45qZmig+2olfjgf+58d/4lt7hAB8N0LToPilfeFLD/yKewjgN5w4PeYhRljiR58bz4cB9h+fgsfZ8HUe+Po60Lvg8XkbQuz3Y3j7f7axhlRiHNuXje3h4d+mh2zGuUmotAPa5l1BKoAcowwe5FUrgLSO49aHd64djOjjmHPn+Or0s3n9gIrO/bCEGI99hucLiIPksYY1t2HlwPti4LkTCg26MvBKR1j1yiPGuBCtiBezvZQ3gNRUPr4TTFFPqmSMOzZ8ZijXzPAh8FwRvMz20M/Hs8IIULQBIwimAF3SZh9S40XHlRwT1qBJDAKvVe+PR/A5XBlfgfuZ3k1+0Bqp7iEJeZHoO2fZHpjUadntTfx7l7/uy9Vgb9fODparxPThKjTzBu4l2hGKIvNine4OexbFSBkLliGfyuYX98I+82DYKrDh/JURUuIf5oG3G8fOul/KjwozDJXtfNdDSmF4YOcIV204vaW6Ks8UlRb8dvq6jRhF8x1XDQFTrnIaT/JC67Y/MtPeMCOSEA8aOM7y0VXysRFnVqYiPea6GY6wrMj7G+MafcawWBthJMo8qsuDYRSwH6tUN/Gd3MbTtMELITgBZKXQFT2QdWvYhZld1uuGd4jywT886QvDpRP2hX/f0Lcq8zCfWb01l/ZXlibBHfO/ATn65gZuhltxq0aik/PZVk7ydYzMx+TGLoDY0fTLOiZCDBzRNH/8qU3tqg17JPsqUcY4jT8bnuTlcb3XVfy3ua3yOV8Hw/zZ0/20gr6bj4rvT/KHfF3g0qzVmdXSWEZI50prGAZcrCleSzzXde+szgCUJ2R6MwTtN51Xhx02+HZONJSjeXB9TbucNs91kOV6LsDj5HtI6acavFGP0/7NHjTWi423WYSKRWHrD8EpB84+ZLwmit6FPF4bGoYCdnxmhv5AxyHAo51oHhfY4PFrbIbs6IfNlkWnNyxHWXIP1273vuop0LMN5ekptG5ojB/2ThSws+fArd5Mgd6B24BPTckqHvGs+2Aq0MgY1/c8np4rjaLPzW698r7Be+Vmnxu0cSqTp6zln7rQ/FS3t1nhepEueSxiA5azv0pvNuW2uH1Rhg34Luv8EZrvqex7oRjeXNP4Nm9faE9VYKPM279K+qmI/ZOmZVMtG+L4gbRAthbqpfxle3VTvNqkgCwI+kbk8OzK17yyKRsM2LpIXflbBdBXBGSxbj7K8x2M/uqiT6x49D2kztOzsVaR8BrJwOY86ZlbWb+yHnbmYcO8LVYspLxY4Kjzza9ZCUX4p+H9O8oPTyNd23CGiIgob3aXhwzEoEc9yHdORRO8UVUmkMtXi36HowPtgYSvW8WOGKPoCtgPHTzPtw65d+ijAec4lO7o46DZDsebW/A5s8hd1cEYBP9Ep79pvfBGtFmvzDxz6GRl3qyWJ2XYwj+XMU5jyfDwsxWsLc80Q0RPGraskjcYnnrgsAgScWC9juXSP6+bGLDkVbjj0rntUlcFOhSvr5gQU1TPCjGV0mVdMNy7g5UtabraJ3QOzXL4BcKBQjNCAUJ9SyjKY+1tWIawWKxjsmvfvk9F4Si4C22c8Lt4Ui5GRL7ezVOvtpvqI9pQlR9VOchCQIxdUbJvD8PKezeACWOCOvZOXJsV9/65BS8/4/qVAgi4YRQrvg3+6FfxoIl7gNtQyCNgJA8MP2wpfADE6GjT4TH5JQEz0z5WyOnV/CleLqlLQQdlPp+sLxdS9RQ8Hge+zgMC4K/3jiYdfz8/0LXhL8cn7jK8WV3Q/jJm5K9tuKn+x/kNX2CtL3CToajueo77fzCF6Cw8H7HXuHAsXxJ36ga98O8eFthxrxevHZn7ud9138SMlWW0Ddv3YixpEAd8Nj50R63n1ZuOZ+dY8BqwTLz1CAQ+1ox7y34kGHxV3J1oeRRpzV2mwjc9O5Td0/J9GwwPw7Qrn2hFNFYsoWPdSV6HXG9Z3+kebMu35U+TMZ3kDYf3P+IX3joopHVzRds0DnGwMg0/029Lr3DeE+NembMqXy3etaW9Ra7azTcXqYa6F3BwG5d5/dlmLS53GL+LYnq9ZpfDsat3/L6WKfwA82xhnMCwFPnomZdv9ma2NSbZgJmVsIt8VXmKbRubfjFctlc5D5L4NcFT2T3qUaPt3szV2Mqc4qDdV7TJy+3wi+kkyneLDKVNpjK9mzGMZ610tu4rG7gi3CZ1KJVRDKURaD+jemJcylpICtg6DnWepQztq7FzPLWtYvT1Yj6FypR9ILX5gl6kZ7u1Wed0Ry/4OX9afWnb2+EQ5U/5noBc26ri4mVhomWJ5zFiEXxKaWMJx+vVFXqTKnZ6wDyXrOW266/S3DIPC++jmIrkVJcjEwIf2Us/rUfnYflZynQJToKVecuFBl6ld/dWLmJjsF3/3D8teQPQH2j7Yi6GzAKIyDh7cj7baeez/bY+c96N1nM1Ngw6DHpPdURZxkWZY+SesNrMIN4UsO4JCzPg9IZEZcgyLrOa8f7OC/aSNlDfFl7Znvv55WJc7YpZgz+O7Ty6Yu0/MAxq+4GGEdL31jo+MIx1b+3EXTr+cnzhW/sCgLj/1T9vegI4QlYEEHfHpi4V+czDIj/OhtMiKvWz4fF1jChG/qeSDB5SnX5vqwjJd76I1IyIWvbEFc33h6YKCSedzjHtudhQeb0EKXJHn53BNa6fjRdY8DuuQqxDoSv6xKsd7v9Iin7bBQJs5Fo3Ky7D62iTskxJxMfx0nUcm/W6bas+vuC9fssQPF2nwLoH7lKVM/4L0k9F7J8wjQ1tBq8dRN+sMt0LlA9wOXyXCQoQQMirUB59KvTgi0Xiu3SFnAppMpVqrqyroW4F+SAXyIuWCFlmyGRdTNWayAlIL6F7uR5Skl4Jo2nji3pHJdtwyEsF1J/ap6v0jiW/AOGRwUVrmOFatd8JW6srG4tvQrksQpntm4vnecZ0VqU4E72qfKghkJz5cQsYb3sc/Fot3qfCCK+dLG0qf59cTcJTYpqAqSAImG0NlR4PWB+wkIkWBoU2tmQQ0Ubo2n4bn/qtAzfFt//xHR8fD3x+3vB4HOiPBr2bddnX8PpSC8Mpp4VOAY3DOTqZlDUdYR0YveQNj8bb4YuDcvcyM4WIdExPdh/HczIzlddxZUia6+KVOu//o+d0+J7S5gAumCf3kK/laPyrEhJ82BwKnwmzBvM+yjb3ui0wyOl0Ty3GDpICA7A5EEAeRUnnY6XU/oZpi6/NHpzlTiWldWYv3CluHtLJrJ/6utAppXI68/uBH6/99jDYfZwqPWcQa9s2fkmZcNOISMrCuoCYvEren5DP2gd+5jjTb4TzNvfi4+vWoh82ry6stRl+N61tUyS7R0J469mcVjoQnps8FswUN0AeI5zZsPCdbarDq0/6ScMz8Nk8jZ3DC4WlTtzyfabP+6VjXmUqS9FHGCVgbmFDKTq8KN07uSbHlXG4O+pScoD08eYwQ9oUYItmew7Aniv0+zGEP9A+4vsLecimtQ1ECGMAq5Vyhd3mZRHQeQuxdxGSkBXJXSCnQh8NHcDXofj1duJofdwLK4r/fHzgezvwb7fv+OvxiQbFIX14wvY77nLif97+06ZP8LfzA58yJvRuHW/W8a4dv553PHqLUFLn2XA+TAn72SCnoP06rK7bA3EnLHv8AwAeuX+CTA+0AbiP382sobsqmgu9p621j824mtYxQlr5PbVu/XxT6IeOgyAX8L8GbirNtbeTlMm05oTXSNC76WWlMmha4IrOegAkniZgT2FFidbTmvH3LLT6WCZDDPJk1ZutrcH5Bf1YBFbi4cU9dOMdVc046nSOQ30Ck3f2Bu1dPCePV5c3cijSuf5cPhjV8bUSSCksnbtu+jazc9/H+MnsV6k3HfL9TG+nt+90BRZ5cTxEoYV5E9oaCFxEH9jJGFtvxZqHPS0VSaHKIXgjbzQ6+xByh9OVIssu40T9r1FVljYKLalGpM88cp/OT8jt5R5pg+npnV7MA4J5MlPCHuVaG8l51me5nh3vuPTPn/VBU5ZrXqjupOSp3QoS5lf5YItjUWfhey8TzdvEo/RqHqITP+Z/Ln84bWy+VxBOc31JRmdYPTHfxHsMwdtVR6jLTnVUA7TUNySjQx7joL0FjOXcgHGgjG3IOrREL+eR0hKpgcfL13bB4a1sic133juMr0lLWMo7/07yyDI/kyWI90skH+4vt8/j4ePGPLjJFpcKXyurNPax/lhIo7oBTC9q7wt9Sfwxk5Y2xyJFqYPzF3s6ntZJHYbCs/h8TIUgyDlipTkhz1vUj2oQyn1PDTPP48Ymuhliyzt4xDGeKhmuWr0A6zFfxUHw1JRWWzS1rhdakIFbXPULurYYxtBaHWeqNLRuKH0gKWN5bSRcKe0zvqgAbaO4mYBfPGeYiR9UMfnCnRycPnqkOlfIkmeldBmRdDpCGSv22U6sEaIcHllh4bOPKk/62SGfb0YX/FzRjQc4v59ZlTE4e8Pfv+7j6hmLeNRkeMJ+s6to/nJ8hvzoqUNwasNDbHIa0HTcL2viBj7j2htN4Yq7Ch50tc15Nnx93oYX7K+HybYyxuwhI5ISzeOgV3PBLmtfMOT0Nq6z0dMJp9qZb0EygXmjjoXBZyJ4jIWgohCSV5hOx/VmtKe54VcchdCfVBwABi/gc0l0fVFaOryMI+zE5onx+oJ2JnzY7SE0nm6KFmch5OS00AVfz1RnnC3V9lMbBY530q7eWk/dz3+g7u34xH6o9tP2vUp7f7S9f2D6qYj975gI0cQp0EWeSLt7Q+3wZTKGMxTu70biF0xDzcfC7CXDsWME2bOtbKzroY7O588SM+xF0ciCxCWcL+69Tb9fwdJky5R5HVtC/Cw92xgYtt2mwo92jLOX9a8/QHzT5kuf20OcythRO5dWTqmxZ3BkL1sP2ZmEN6uDPdPQANwUcu84jnEYfx4d/WxQ0XTHaGIIvK6doGDzzmF3ap547nkE2G56V322iZRUWZlfhqUysaXeBOcOP7Bh3BaYEAKP1ExKuLJJV8IiFM/tJLQA9mp9UOXTKIEGiOY4wfRMGLF2Jz2bjCnnvTyHo/kIBaEzM0RDtjSjzuOrNnaISO8WpqiDQkdjP4Ga62EY4sCH294wnP6cmW0Va3vXl9oVon0BCh1ObNOGcQYynvLB1a7Ms/QWjS9MdxoUszIVDrFXyuphdMDHjLxZd/kBRIjbKkSzkOxervVwZWpYMBWytY0LXAtjAlOk78ZyEbqjcO7Dknj+dzDoINbJGvqiLrdoBoBTG+7tK8IToyEE69MqaKJDwaqCE4JDxn1BXUeYqUdv4QkLAL17CCkTnD3cPVmC14MH2Y0JjVngmh82W/4mgg6dnjl8P9DIMGCrlfv8mPCoLhGKmBHA+B54IzSc5Xd9t7vDKkJeljJO3n9EQbWkK5r1rEhsZLxAaa9OmafxpYdNBuerfNkPphwKionr804sSjcb0CuedBTaP0/z9cZULIdjP9PvSz+IP5chfZ/VX/HlN7T7tP5XKbVf7ma9UJr+UP2ljVfP692wbDx6peB4CuOzJJtyjeirGeVW+Y6VSldK2D2QgDxBDFGN/arC6eUvZZUfwbfCsy1glv4O+iXXeXby2FKp5am8gL6H96Ek8nvYzbguyQ6uuFOgi26NaL0dN06CbR27g+GtTF7nuYyD71ccNSPty5cdvO77y0R9WZ4ZjGlb1fL+CSzL1uR9ob2m7s/x9YoH2AwGKx8TE6K/787zesDuPBvL5r+5fsKPd/fcHz5/qt+D9ky6uJXrahU7HOHnNdV8hPdXyoyn7e/Sbu+zQmrvpeTbVlPoyY+M8TZvWTveRuB5XfMXMAW+RWNI9GBGPqJnMrNu51aojMmQSQHrtFEwQuG7POk44x6DiafN4+A0tMoLS9rhE8G9nFNye+QRy+fE08NzDEbI5ypJPHMF7E067qaEvcmJu5xhxDsrHR4VEbpYNeTIehes1+tghyesjkhO5ynQRxuesN08YP1u3XNGf8jjJZtvjGaDQEc0i6YWVknHnkYyv8iQK13mcWPerfxOfMowjlYIIxjLH7t5vHg+o27SXmB/0acrerNr40WauptS35Z/fF73ss+8kSrN+83ylY/PK36YYMu6Hl3z/4698V81/VTE/gnTMyZKPJybE4lN3hoiipnvleGwBxeXRs9Ky8+NZWoK23th8cyKLlG6tzXqzQB6XhWB3pAWbng72KHhOKAd9dfwvsPj1zb2cpeqW4JrE7uPUhcvoOUgXhFjF2PKd/oUhmPx0OV6pI6LvTqGdzIzZREyUudcjTvNsjeFCpIlcjqAkPX5HItZHn6Y7srg5P1heOiWgwZTeLAY/IP5yePEVt5Rl3p5g5M8bD3soDM6/TbqbafN2wHzugXkkXF46128xUtMi8tD4w7eONB2JtEZwxvdW3FX9G8dt788cP944K/fvvBxe+DsDefRcZ4NeJjH0vfB5PB4LJsxexc7DvkyPX1uMhOd9vLSv6n8sfCN5XRbfA118HUSAVbgcCh0rOixGd+6/nktGH1onxl/QXkDxx7EXNiYaIE5+hd4OuupIWnla+p7hsWwkAcj4RzTQC+LWVdzumAwdMOF8LA0Rc1YhxR62NoIL9qABeBwykGO1fLqnNx5Z635B1wwLSqYdyOSpSpbtsbwWT979VqoY0njsoSC3ZXz5MohU1izkjDuerG1533WpnHXaCQfCqdxPP/s0Rre25ZJ1ntkk+DoY4RZZ5p/BeQUHJ9EUyWPZQq7yjDrrNPxnen3LlXhlZ9znep4Zu/cE9i9gHnvV/K+Hf3RhDsR4hg6reHN+ribgUlKRnsiRJStBT9M0QboNxOYbzrufzl0egD4GrA7Y9q9QwQ4PwedBI1VzG3xjJUHspVzGXfH2xo+qq4FT7t55PYj3wmIuke9VdwU0vqYN1OafjTg32+f+LA7Yv/WP/BL+8Jf2/dRRNSef8OJcTfQgY5HP/AfX9+GQN46ukp4wn4/byOM1NnQe8N5tmHBfArkU+weWMR9sLFXGE/gXu8RJcLu8U0Cr+G9RcKa42UWzrA10A4FcAzP97904Nahp6Db5iWiw9r+3gcf4LTRPaJPnzbzshUd/I4oRS0wGGxfEo2tE8cnwlMjptYPsc+xzy17EAA8ytrj74QnrADk7+1EoidcTzogRYm6QGGGx/4t8Ryg/Qo6bqAID/dJsxxHE22uPFW0YTzGQqBzf3IsRvouGb4sc5BnLdHEsTbqpklteTNEy/z3pQFd5Y1+ptfpDfzm5J6BaV697JN9aq3ooh2Z+JjeX/AvV3LjaFfS7xWw/eP0fsszXQzORVsMjx8o/ZCRh871F17mnto0aNkpCJ4pPiOb1+fyo3kDa5N0/+lOvtvRQV6HQY8IJmBDE72oEmlxskL1JllAMeUj6mcykOU6nGFinOLoS1hxlWVg54Wrcgu7slHG+BizfnWjMG0Yd57beCeZhMbJ8/abzqhK9xEpAh99jkEH5KuFZ5L4J3l5z05hHoi6fCSax8rpN2jInH5P8BK8QrwQywIx1HgzFZzZlqtLcKcAKOs3+uKyHMnFztunvYX3E8Y5xiFMHNhGVyLD/1S3/xHfGNshyaOMUzwvqU7eiumne0OFHCW60ohU+cXeuivjYoPP9dU6cKCu6trS70JLZPZ9jKkGn+pnOoGrPhdetcMVNI4a4jUhJb/m/MEHUfsJB1jvdbV3gmhb4sfKRCf6tHmGdXz4XW7wmrZxmSWP4S4rS/Nc2D2dtO5Tu25A6XhS1pMC0Du17XPmMsaFnDxDECOitvX7/A4/I5HxDDed8EQlkgxi2kNShKQh99K4XvAdu/OFNK7ctM75XwwhWBl9AnLIiEzl8sM59uHzbPg6Dxy3B+7txC/HF/7t9h136fZ5xh+AUMY2KDoknvcI2TS8ZQEKX4wTrSn+ph/4Og98/7rh63Hg8Wh4mCcsvh9D6fopEUnJo+w1u05ti3RFQAp6dmKcyVr0JGky5q759Qg65GYBpCla62RkrNAvaydomMz5cY9oOxvr0HBwkQLqdo5dT7HbD3zuKq30SBROVDzKWKVFXqTSc6qKh7EqY0MmK4aydejr753e5krODYN55iGe7Q2yeVbSMuY8JnWc/bcbBSqmfmS3N6M8p7G6QsUM/wXx/iemn4rYP2uqSrnE+Ohz5NoyWQK8EBR3i/l5Aa7/dfarMFDV0OdZfVsrissG8ZKAPC3Owt9lHvvyTrjjH0y0D10S+jFncjl3HJL4h+Z205bD8dR6Rq/HbWHsNOPEO1Y5z8YjMUdP+roj4LvnvokqCSaxLzATa4xBO4Y37NE6DlEcraMZs+H11Y35aR8T0KNszDs/r2WeNVAqD0biGUwbgaE28Yr5mdyrTCVj02BMlj5XYWKDv/GulEtKFc/bnyDEU+Av8kfFmAx35bj8c9e3YCy8o0ifUWwDVl0Dl+A7b95i6GfdDFdlmKhf6X2pO/UHL4ZQyyGvw/cjQ3+BI1XIXQ79ZcUveQdmbsfpio/Rs71lx4RzuQp/be5H6TQduMGEkx08wTZsYPfzTMYRGMsgdPDEwiqaK9c1309Oghb/CYVMg/qeVRc69QmmjOtl6kMYmfcsMz3c0fEd7djhxO7g9bcmV64uz8We28D2qxNsILxh406fPpSwqog7WIVCcXm4+zBIAOahSRg7WOW0XrzvMR3lkDdS0HIxo0CQAYp9Z3w0PAFk8EibAy9uxvFz0FN7bt8dJ3dpxxc4Tsf0vzmfSVEo69hwemerfZe+Bf5d5deL7/jxLWwUogJP5INrAXd+Lkq8H0gLCfid6+5nyuly/na8yUX5pei7c2S44d//EanKGu/Ibf+l6RW//Vuq3Cm6wxNW1vEgOpNkx0I/05wx7/CUnR4vFyPfKx61tHvJWymetp9ooOX7vbTkUjaR2b8IP8p84q78Zixn2E0Fbh3t4xxh/c07Sbt5enlkpgPDuFGIj+f+Ahjhq/e8zDtbS8offOvoCE/BNv3O8X5rWVQ5pRZ6hp91Dy1zc7ln89zu8vzoenalxfvZf7T6SAHvD1WA9/r0Rp4F9ie8xJaP0ZSFZAhc04PK//9gWpTXFzxrTcG3+uLcTPLlfvy0YiRcTWv/B8sGf57og2a+u/L8XpVQfj6M8vyu5HEjWM/GdRRxZzjHmAhRogOM8wuCN/6KjEHy50KuN89e8j6/ZX8mnHGZdBlKxaDrilA8esQI9lxt0nGg45D5589ney08Yq9SDUvsYJ5ng/YW98FGRCW/U9flRZcrgXW+q1DlBk4yje6HItplCzMwe8b/1IMq+1Qx5wPRYcSqNK9C5XZ064JX8OrepnVvpldnz+9VovghBWLNu5HlXsmIO71K6A9+yxj9A/jcVH3tsuyf/yukn4rYP2HSQ9BvtgDifgxJSB0WR2RxGYuG73TwxVcXWbV4B7YEa7Q171LxfOz9CszNdXemWD10kzU9eVnyZ3gOdYqLXmAMbxVFOlz0+gNmwfAYMCrkXrdVeI2xi5jvMuHfMvsWEkMBNJmeRqnvSATpZWgs2Lw1mXNk89hvAy/SVCjG5tZkeJGp3Y1muFHvOapzEXX5Y8G8d9BSewxC3DHbVr9zqFoPCRZc6W2GV4rHG8U1h7bkTbhZSM3lrqGwbJTl4Di8epkJJA8q2dUnufz4tHuaPH/cGWueXzeF3hX46LjdTtxaxy+3B74dwxNKRNG74DxuAw1uJlx7yA/nJ5m5uRAqfLz5MD0JyuIwZwt791LmsV2Y1Xrfowp5AttvyttduWdwxLLnaWXUU0CUQp9KgcfvLYx5l3gQDLofQrhXL+Gw06O4G4Q82EM5JDNP4C6AFDqV58OZ0J3QLBp3t/oY9JtNw2P2k3FlwGKWdH4frcHG4+ZznO6DgvXLvYmT965LIaOeZu/9bs7hAUH4Rl5VgU8eVeCgdSCUdyNkDEFJ0eyeYzXryfAk9HG3QfW2uLOxHn1K3bPTcafNZeHrNq0VRdxhonbnqVP/ZWw10+Pl4D/GGZlpbTS3m0gQNfFBTdRT6GzCt42XGx+kSSnHlsOVxnlYWqdN0LwWHL5QeDH/AEyPeH92GM6ekuYKwFAC2pz1O4Zi1r2c6R5YEYSRgjRAjjHA3Tx39dGGHdOjkWJxANBv+W608HJVzD10o6iVMqex//re7/wU7Uu8JiDT+70fyJ4WTSMiAo7h7cvbeVfBZ7/h/3t8w7d2w//vl/+F/3H8ihOC//f8qwnZo1EPJ/WlB040fDse+Pf79whJDFgoKW34fh54nAf+/v2Or+83dLNixinhMXN8z/Mtfd7fJNxPH8u6NmgMgRW/4hnMO1QF+tnQ0YHTrJ5lWkZ7CCpNlSL2qUT33FPLxrg9MPHgmHQq9na73yrwMnhlww0FIoy0ranBV088iHe+P3A9iYbP37zvBW9txnA7XnvS77lNO30K+puLpMOjfWgwTPpPsC78HSaup8gkF2GKpz3EfJ/2asyx87mSExFu4koJk5T8Wp6R1+3Lfv5M10l1GDscknH12aEO442s83clO+6ME+Ir0d4agSfJh+/OqSDLFCDa/0beus8BZZ1cVZVCnD9vfzEQrrS0DGEuTF5tzwx6N3DuFLAuP04lrD2v0Ur4u5by9r7ec7u1GboAeUazyvsMN10P6QWYUXWK/C3QiKIRpJmUoTsauktJBncaVvvAe2WJAJP4sVGhPZz0K/gr3tOI59Jjen31Xzrw0XH/yxd++cvn8JL6OkbUC5jHElpcFxBXTZymGOX9z7c9maAtCnUem4qntvemTC6/iNERpVd+1oQ5TpOulzHbNPkUniXT5rtPYZ1rHxPuXvFw3MqitlaZlsXS0LWeCkvMc8lb9880Jw5rwx5nN2My+ANd55mTaOSFYKwrV6ps1nGat9rmExq2azvOJ3nv5vGpOEk0KprR2azThUXBTOO8NXioPBwArRGQdtFxdmMAek79iua8f/6deO94z9+9j8WLNzXLZXTCutt/K1y1T93Wdg0fHO0KhpxmZ3uw88TEr4EjzeiU6S0iSzdvVbFIWGkc0z6kiR76+YzLj/1DQ56PDgQNGuWkqdGmAbx+NrqLddIpsTaZTi7rD5N+SsEP/h7nOPyeeQie102+ce6jQ1Z6NDweDZ+PAx+3RyhhuzY87HCyQfGNrrTp2ob8KA+ckHEm24G/4x4yY8MIU+xK2IceePQRivjsFo74caB/NeD7MdbV96GM9YhKEc1NMeXJygbWtWh7E2SeFUp3hbqE5/N5iJ1v94GPfezFahUtoYnV8aOPcna+0QBol7HGgDibHeH7M6xxhsU0hGm7jLr8vLzyA7yf7a6+8TyXcgrjCICKe7WtnZJR6HsuIDMPR+VMeXLZeh4/3oll1eX5pcPUFfy7/jAxJ1owrv8rUZaeKYBjwN8M8f8jkWr+QemnIvZPmobSwZCzMIl7xmxi5Curix3yvkLoRHz8KKkoY2fm53UteXlD2yXfPJ2YBlERI7xFQLQ81TI6eYdiJTgLUwTq95NNKJX/HdbYUbYVAiOzr2obHQvvk8mSpOCsBDHDaV8Xok4EOR3GWLM7QZzmkDcMJrqJV3ly2OAh9nxucoi+DOxySLAbd2cwmdnSFZdWQAac47DZrMqoj4mJvHXIMbxfWzOP2NZxP06cKvj16OOgsg9GWGjQXcAoTc93/MwZVbZSw5zDetgZv535OKjLhYmc/THmmu/uq0PjSr5T5p56oaASof4YHjlDH4WLgIWisPXB0KbZs5U3dcNBV8JGiFUpeOvjQXUm2kpjE4fyIqHU9BdXwmQa3x3j5a92DMYVPlp7oWDmtgshYiEyxq4BrrGP0GLeVkMouXy8QGO1UwhEiyYUhQIDgKpM5tv6HePveJaHcjYsmgUmGFrt9gj6DLxiJbKVCxg29NsNFvhAY4HL+2fj1BI9wnUinIrx2TDYVZhZlGELs0x1u2AKqpf2Sl/HskOqCr/TkIXp1RkRoCj0HE+6wLxeCaZ0L2ye8NY6tDejDe79gUlDmMcpe46vyVxlBlp5IVYiSmv7kt/wMq4447Gy73Gfm+i440aGNTN7xX/2Gw5R3OXEX9t3/K1/w3ezKHEr5qMwHEPwPvFQxffzZmAMb9jxJyZEH6a4pnmx780V8YJQzNcU67BuNhX/6LMe6vLVEONQ2GmpEY1Ggy1EJC7HfN5hLGQoE7g5s60w17USZUa7Tu8n3ovRGE1luI2plFzBnvxEWX8p08WiUsPZYlxZUzoYvaA3leeL+tmgERNHtvBw6gOuRKtSmKwKQG5vKzj/lrTDx5/prfT0QOhlYVyO+WW9VZHuj4sSdmknMuI637My7+bf1a/l+28dL67mKlrTmzh8KbdfPH+phPXfdR9MdbwHW20v3zdNcC6E8v3630lhFM68UqXjO7j8K82Ry4yimAatqS0ime/0Q2eZWCs7OcCMXcNg8VDIreO4dXy7nfgE0PsIBdKPYRKj55AbOdRtGGwSj1L36IrmaVyuaGzAq+X36FhSYlxEGgq5QefnVh7atb3jQTY/ny2rBarC6yxKlDdguzxP4Wbe2LcWhWFmjyesz2gW14ON7LBpK53NlDJjTgfy1Hyp7GZMnqXMR1zQo6owLrxp4sdoXNIZh+HZs3UaRXd7XH3GcsIm+9NU+MincsaOn5LyWcs8S+/sZcwHbyYw5rrip7OrNI9BOy1TNlxh5MKkHcWAWAVTOUsesVOWpM/ogyGEICItjbOctfMLPl+tLd5OXxGXq3nDMz6J/2QMnI6di+91rXe8AgjDXWe07/JAQ0t3x3K5o3Sgq6CbkrP3YQStFEGpeeh7uxYm+PryeTUGwnQ05bUH/vsUO3fJxHSgkOT7dGuycwhtprZzRyP2xHWZakcPd3Pi2dW/58g+SQZD4Xt+ND1bm5vx3Clj9/Uq0nV/FyAmJeyufYPx90Q3egUD97MaZdaxf5WWfXTJ8HZV//D0UxH7J03jsHHDBaTvY2VXxVlSOgRj7iH8BuGKRRm7B66Z4ycw8v5QvXNnRs+j6zsAbAlR6+P7OVdBSee9AJWQ0V13KT/Bs0svlcuxKWUrZlFjICAxdxFPnvq23nOTfydYglERUzLsmQyfWznLfSHOnDZkHGGGyoR2xrcry26Jfs67YVfFdS4Dxbw7zDe7naexM3cXaScEbS3WY1zzGFwKd6l/pUEZnnAurCdca5lhlKbjfsDzwPfHQLpb6/j3j098Pg78+u0DXQ7ge24zMa6aP5dlqAjPtMWKs8s6F3Q4qiB4TfGRBIWwcpQcngQI5tZxhq0do44dcwpEOzF+4HoxlVyprK5V9XHvR1L4kkeqKKZnpti6p7UXQkeT6EcwxAtH6N9lfvha5FdWNNa+IDwEU38UkEfhgpzB7QK3LA0BxcfDDmHCk4rBdG9X76Mrio25ZqEleQf7PDM9dfrqfak0lfeR1PepBJh3J5M3HBDrxLvs+LJj1EQRVv/p3lfdlCE60+9zTKdSyu5odM9cUH8cXhrDRLcYPxtmaFVunqeTXm/xfJd007crBtnppuFINw9UP8wDaC/2sZNJK9KYAeQ1fNEmwcf7rivemnlz95vGfrnIJ+4lWg0FALSmUOlQHS6NausS3Aenqc3Xh7jcmugHQPtJ3DU+9/l6d2bax80ymq3M69lB8pIF4BGF9QBwU8h9HKB+fDzwy8cX7m0SKFe2/q/HX/FdbzgL0T6k445898+tnfjShrMf+OwHHn0obUXG/nL2HIhKHmbJfM75WfZRzXiJFst3odvOb3Vefz6WTu8eVq4NhenZAb8Xu/KRah5MEb7YlfQmjIuI0ct5p5Me43dT8kR3fo6Us0o4usNz52niwA7ULwNFre7lUJPqmUYNNFaxlvIeMdCX8JGT73dmAYyKb0RfY/81fA5eksY2tRH8kwOhiR6Oel8IujL5uhgLiwaSDkcYBho3X39XSQv8E/ayzz6jhT/TddoZcfpzYJ2/+okNznp5vTZWChrL71/NVW2mwrZ7x3TqQuGZZCTGezLUvLrz9crQ0+9/XWS1HY4S7dmmtN+r1W/v+noXWNRXZKUF5sqilGhKg4ZteBg38K1r+sX8PVM6D8O2tS3nYRMf6eDu6EtUKblO5te8Ti5wAXsYM4Pwwav0c4ayDyT4ZhfTvjlZtBk5TE4MXoH5CNtH+jEiauhdoTeFfDtx/zb4h2+3x9jrAYgceAAjSohFvUhRnerwO/ybdajl9zZv7WgMgpKsWCos/C9XEfWzoecGjvxihT9wxwzNgvfelE33QHpd/Lvi2bKfljp9Domnv+pD3d847aJshMzlRuE0ptHOQgdGQymKk2cxeYZpz3Kgn2CdV3uM9mTK41EplSGeOZCeDNqvFKnL+NCczhea8gbvUmkT5u+QiRkXF3ymooJgU5fE4wtM726U/tLcLPVs9sdXRpBpuVG/GKb0Pu2Bm34U+vVUKSPTu1VMIZff0x+wGswTDqeIiALoAYhHAyjnrks0r9ifANx04PZN85U23H9DgIi201tc0xJw0flkKNloDwLz8t5nW+uyebfsy1EIU5bCJg/PKeOqv5MZv8MVqbd2omEY9h4WPclDEt/RcaLhRIsrbRp0eMNaTacKHv3A53ngoeM88rMf+Hwc+DoPPB4H9KsBXw3yNbyI5TFw1RWyjJ/VAJu91tO4KCKyXRqfbt6w3bxffxXoTcZ0qdptNka7DB9ws0VmMm1E2IqFjJjTpBvo5uhixTuPPfbrkUWm6Audh8Vi36092SzTiis8dpvma3p2Dj4bGcSMecdouxKnQlprWzt6s8i7vzG97Evdw6qOY9d+XUdln0l1/074/6j0UxH7J0yiuj/U4I27WqQScoZX4TkPofiQKB36gAnHE4veymRsBE3pyApDZs4UANfPGxeyW3r01Q/lixKWPVuTAtg3A1YQh9Xr5J6eWvbqBRFiZtAJIIe3A0ZIMIz3WwJQ+pDGyBOFlGJGKA7EKqFypbpaCFp+pc63yKpglvn8UhFRwScvi34gvG9Gfy7KeGhAr9eYJG15U3yphN0wQFyn92lbV2Wya/L3rLgMhnKObxWi1LzA5OihTFQAn+fgAv/t/om/3L7w9/sd/3E/8dUF0FvexFmZ4szPQxLPkQS0UFSV3V7nfC+KXW7rGC/curqVsU1hWVyAJqHEmXbQWNXE8xX1KAaj73DwWth5WTM8Sm0SBxiHHs6Aex6/cwkbXDCrSYZru1QX7ooYNCRUyHgBzPCu9s6ZXF/HiTE0l08VDQVazPtBfTfmMpS+oTi3ZnwdnxbK1QX1QQCsnHo1SQgWb4/mLI1bZXQavXdlta2HUHRwUd5vzDl8K8kWOIEZVrvCwgcS3cat2Ti757A2QcdYoy6YuZJl2VOAUGT5OA8jDExvA2ySz4/TDNqjlwMp8LjTeleEJeiORgV9drpzmPKZ163TUocDmz2Mh3A4XKwGxL6H+hzZGIvVJ11mGHEy3oBLPganmACtjnBevShaU/QO8x6Vkc88z0d/1byoaQ80j+Q0hg4vdWw90L2IlOD5fC9SzNB/PicUrj3mr1vRY4TOOkwRez9OfDvOcS+4Aeif/9/jF/zn+Q0f7YFv7RHWybfWgTYE6SF4n3GnbNeGz34L4XyEmSrW0nZ4Eoe+dBCxjAnv1ba+/cBtOdR22oOJQ9o2uOJlnD5Bpxes2qLxxggPxnoadFib3YHn1uFuBIKBOx4BAn3SKT48iuVEdCXRZMIV71fQfMXgDcX3ihmBJvY6p7eH9Y/2vXooy7xuWnvMl1goBF+vjstON6cCRW1/UuvTwGOmBXk/sDH0g9E+eeqkdNhtdhS6NvYn6ldqi36v9BvrQW1NYuNMskmgdGkrVX1V38+UUlUGPD0I2b3bjPsl31zredZWLVI8tlP7O95jlzbvdkpAAPs94BK40gavYyn5djA8OcC6vDeVlLCvyvAY7RXIZU0R7EkJavREN/ICK6Gvxu7yvMDLsYKexkoU81oPwtV6gPlU0VB4rHogvD2UE8LnkieeNarnXZTRjApcfztNbKEzinkf4lDE3m4d9/uJ++3Et9tgrh5nQ28tewi5UqFEBYpfEo/WdNUX0et3zo/Hwcga/tn3Wo58FGNLgq4uhZ7M845d83ljnpXxnNpOSnOXi7h6Gz89shzKMuE2uQLIeuM8QrwqsKR6XuFyWR9DLtvAF3OytrcqN3eAvE5LaGqHC9RPx+VeflceqPa1wttXMpqW5hV6eiHdFUpgz/ylDCvmKl3Y8SSpOt1P6ZYn0lIfPV/4U6zPvdzVXp54ws27pynODbAovqtDT1rjZb5ZgZ0U55v9088mGJf8LE1vhhC3HjKkHHMAVRFyYKw9W7fc54g8J6V9g8vpVlom3NfKO23mn9/F2uDHV+VtwqStV9oAw5v11k4c0k0uHPfFNtHxCcX3fo9rbTydVt6Vsh6S+LMf43qb8xh3w54ylLAmO7aH2NnJdMJIfeMzOJQ5V+T53y2KcAwYCNSOMYd6N89YD7FPvIhfX6Rep3tF2/4Xd8YCce4S86A65B83EgDBeLkPzncuS4V8+WoNFZ5kGRN6FkUuSPJAWUbsmX/SkLz/R31Od3l/2OEyw8207/ekGhWHr0Ope6MAbAT3Y+28mS+t+9/S0B+bfipi/6RpK+QEI6HLYtwKRFIIyYahGG3Z66okdYYlub3vOHGujBnV6b0nDiMTJIK7hqFLcC4M7nw5rasmk6wHsuXLxeJlj+NQ6MKYQ7YMX5iiYfva6lCcHlrv/bY5cCQT2lCem7J0YcTYq9nDyMa7XJ/YxrRLSSHmOEcEPOVlLzuyzL0iqPMungyXb1LsrTT6QLCD5jP1Ewtu5PDTpS36nhjE3VpgBrTUuzDyahV2hZ4NXTp6b2iEFEfr+DgeuB/nCF9pdyiqyrhPUaneTnVyMibEmWUPOzkGscyff2HhiF/qvMc4PNmCEcZgDukuyK1guWHI0hgRExAMkH+3Nngegvmtfd6tm4pnhqDhnZuUyJLKJOG8jEu6X8Zhb+Olz1EvnpWj72pMIZdBDrEqsLsMiWYJ9syBjy8zlj5vdUw2Yxb3NVUaSmPOB1YuhC5jQnCKz3Edsx0Mghn6mJ5t6wXRW80wonq4Jabq/8/e/7zc2nT5Qfhn1bX3Oc/bsW0TIQPbiaAgogMdqcQGBUWcGBSdOHWgAQeiqIkDu0EdOHAiBAPxH3CUaRShFUGw6YzMJIYmCIqaGPK12/d9zrn3Ves7qLVWfdaquva+z/O8v57OKbjvvfd11e9atX7U+lFzaN7/KgSoYHriumDIsLFZ86rAi/lhwURm3+u4ld5dHjJTH31/JOtzziPzcx7cDW+KhIfo4DAOFHwOZITy5tDTPIeLZyzjk6jfeQIdRilNB3wCYVAzgY5gvFtlLkw3hMKr9xEiaYbxJeAUDC9Du/8z7hr+NLO6ERArEFPa0T8epz8TxJ1zbCwUBxIMV46HD+qTN+fjUsGBEQmhQfHtecNDG27ScZehgP3Ub0mo9rt/vu33uCf2kCF8Nyg6BJ/7sGT+9HbH588H+ucDeAwPmVYsmcNrpNEe3eEK3wc+T0Fjx/d2TpjyMnFw5l6zNF/tDehNpvJ8YY50rgvjZsG4Mx2u8JforzaNO10bj0MxlOZu+FAPZiSPsZIyxaRJeiAsyRevM9+jCqBGG0HGBVv8WvDw6Jba2GZ+3rsgnnThQWqi/ZrubY0+ydabf5aXvMbAMsZdW8srmrfExzNKoM+QD5wOEl2Nti668TU9SSJzPndAz99jr8xM7wq7toGZy6w6jeXedehCeZL3qWKvEMwkxwpO+EqPk4xAhr80F9FGwQHbedy0nYxOy/PUv9q9Z/fC7tJm7WJ/tvpswIPf0TbKrVUmflAReOiVAjudU9Ss/pho605xtgxv82zn6SzmpZ0MRGrdu+e7vtYy9RnjyFc8m+dThBehH45GPxuGsWhTSOtxtUETHUZd99GJn9z6OKB/G2Xq3XeJT6njq7RM5vqG/FLHwFUoZgSQ3R5wtF/OJ5apZXzE4Flp+kUKXoXz1HpepWdk1MYJAH434jxHmAQ9vsI3S6lXqUhhbVfZdeaphpODr1gjECx4N+FxzDWw/ctGCkqegf4w2gF5xTKdNwVYjLvyi4pVKc5zwvxP6evlNUM8P1ynz89V2uFqehWGrnP4z9Nu3d4DZ4n/QkS3Wjyi31sfd6nyaVvG1jNQ/YIpC4f8cnHft1dO677Astd5MZRxtmf1d5kOIn42YIyz3jwSmEa4dthvKfPv17+oSsgdUNB9omXhG6BkgJhkxSvcscN/u6lZH+c8dAZS51jdSeAYuL81Tca7XSWupPH0FlbkM0TxCUlesLd22pU2LQx2/e/sDW+94XE2PN4O9IcRMPeCZoNe5tMdbsu+C7qwwd11Gep5lJ+p2CDADkfpbCWQV5lcakAFdlZm53SkePerpKqM6HvSaTPTlSTPGdA4zpzKXgN80Tw276oSjFR8hs2cSfm9SYzHR96VNmTeOdd5JbdFuYRX6iao75/UlcpV4oU0VoGdg/P7L0yXCmau7zn7+nNLXxWxP8T0jLGmUGtXCtT0uxDqRRm1IeQeZz0OTCLUoSMoLB5FjuwSsxReWVafI3px5k/Nc8naFcmH816vhy3YhNhchdHxezCtVq4o+RarZA+dC5kI98rjzwmG34/GChasFqNLKmXGYbhRAA9zx2Oz9VAShpTmvz2cyfAxyrA2dngRZwwuCFvtHofjIoWCOlz4+N3L0Q7h9MjrIF0p9KPEc06d4CoRSs8aQok9YwYniPf1gJJwkoiA1VcQOYdXiQPlUlfUEYyKQN8EijbuXjAlAzAO5P/I7TP+f+1EM4VEP8o6hIBgoaeY6PnrNkJZSRe0N/MCvFuGRn0TJAYpvGxO43dODMWhMbthKAH7LRjemw8E4+5dFCAzagBwo/lzBsi+ByNCXlfaCherVJ+XN2Znhqn08WnU440Oq0eER1isKSueHJ4IlkPR6Wt5ilnjaSi8UghMwQz75MzNYe2HAp3ad5wX4wZO88SK0C2xSHM6QgHU6bdnrfsj1s1+myLGPVMdNl3gHvtsepxGZRcMiyvYaji7mQFzveA4UWZoGa/zQFryNKfFq5cZXg4xtlV+JljRUg/fNYOgTWmdOsB3NftAfP1heyHuS6H9n5g/hvXSVz6wiDZdidWobPSndMfWs39QUnrOuR57OPdDzMAj9i/dLcZ7Yggk8yBTTvOOuWmCQRAcBD5xwxBatxSZQgV4NKgo5MNQwrbW0Y6ObnecumHK6FiLeoanrhlTja+2Z6ZRl96H4s/pNtOOLWPOggwDoxMZmzw2jvJDJjcic7TT79MDG2KewiREA8BNTnRt+PHjA5oofvX2Cbd24nO/4e088LE98HfefoK7haACgJ+cd3zq9+iaK2O7hZj69u2Gb3/yAefnBnw6hhL2U8PxSYa369voZ3uMtegHpkGDTrzEgnCM95AIARweJ7sQf0rl7bc2oH2eRLu3NnBlCiWFCFXt9xKNiepmMCNQNTilydYGyDFxrHTH3cPa2fmG9pjrH/vUQCtwHBvdxdqbUt/qam8Fhmwvh9cG8wAOWkzHSwrLap9/THoA92Bl/F/hE5i8COYYMv6R4LWWd9aHAcOa+Gev2/c6C/k5Oa2VCQNF6Zv4xEovGpVxWAzeWrZzymv4nQ4B/jZOvgYx33VuCRbfe0gxaNqA1+CpMXHKu+rZwPXOY2p3pc2+T85fGV+2M35i+lQUuWy4yynkmbbm9fdJWUtldim90/pu8129v/v6tnPizy6jKe3xSIzvymBs09Y0rp34IH7v8no9fvjObTF9wMRdzFPG8Ep/8rU0GT/5+yAlHD7eKgwDgYs9EjwSCE6Z111Ga+87ReACprIp9orLGEYj7x2tWRhKM+D60E7cPozD+T+4WYSMz83CNK5X0FzuEx6vX8PhkSVeJZUZMYjBxXG4j8lpCEXg0S3gUD4aw/ZgmsiL8DviwyusbBPvAePntvu0z+s2Qo70ZWsS8lTuo8RaOn3nORrRn2bo13puwX1U+i4F9tJY+KfOPEkGp09XyorO8bnsl/C4A6fOoc16Na6A8BCjIYP4nHhf2CgUlKeOI5TYOnkAHxPPC0UxgiIiRKW0gQkgL5XXjfq9ZvJ2aW6W16WetE7cN8K97w3x+W7Fgu/Bq/yS5z7G49Gj3EiZ50zJAME3HeGuNC7kdUqf3IfmeNpwieMtl68V0xPWFJO49bH3iiGniKId3c7W2lDIPuY9p8Er+v45Zj+ijurtfkGXeb/Ge6crpNy7SgsvTuvgURBwKNqhOI6O29HjTteuDZ/6LRSzh/QhS/apyjmkR6hiT3c58aPjM35yfsCbhTPqKjh1KGE/Pw68vR14vB3DG9YMeeMaMr/ahufqxIr3gBRqPvIb7AjhgPoeiiFrPAZCbm+So0UA4fgghyPVJ4je9AhzPeaVNmHc60XZmL44OrCRip9tpzMfMTnR6/FyXh9H3AS9rzoS5PeX83SRGK6iGOM8f17o0WIMwHvCx7nZF4G7iI4sQ6k4XjNOX/bRZjwrX7xb65yXldPvk0HexfX8zNJXRewPNC0hc58lfUeepYF3vCfiMxWk+W6VbXdsA0e5dzAh0WxlaOkA7VkIU88z8fYXzN+XpDKWV+GZnla1CU+8HPJvxswM8KwLWA62no1bAYFmZUTpNzMSA8Gb8o7q4IOD5RCw9GUnPKkgvO7iLlZvU4sAxPW+M9X5jH77o9rvSjh8bMhlIgxut0bMKss9vW6t4yYnPrThEXscHa11nM0FG+JoWZgxRmCBnDhoKpaMWpaZ4SiolUzv25Q3H05Jresq0brWuVmSYj04yF24XM9JzHV+aLHUdAGydqIyj/xs6QSSYjAEF59DZuyDSbHnNbZzwKumtZVua0DKkdqHK6at5tkLroMB8olYGSTEc59D5nOfLiLnudqLDrvEoO6Yu8v6BSsc0P7j30sipjr65H+b+fOliQMIK5TuXSp1OWN9dZjDStedcM5Ky43+F3EoQu2yMjm8Yt0Dtc6Xj3+zPkL113lzxj3hC59nhzMXyMNQxWDsFbbgbaHDSAU6hCNVQevIoYsXmjZg2hWiftgTwoFYH+Q6rGN0hfFBhXvmM1B4HJ7nhnG3203jIHV4s8yqhhVyJtqf+oF7v0XoKAA40YAO3I8zfneasNPqcYvm3i1MoXn/x8HGDvfZeKvF73wJW3PiXV7s1STMUj5XzMoDwE2G5tx5PkEKVRxT7KHGYh1tNx4auBJdI9IBOkUEYPzfRp/SgT2NMXgLTFgdHiDjPYOAocXL9B6eo85zKLAk33k+cORrmJ3815ox6OZOORt5eDN5nbK9W28WktkeAfb0nKFCF7jwVWLalA76n8zxVyXsTyEt8LkDmjXffJfzfwkf/lNLFXYdl72SDS/Slfx2FZL30vDz6byVd9xe3/BrV3wO09Mig08+bB9NKdeTHywRYfQ1Pgz8ij0f8Ew5ze2s5TbfN/Qr8PkLDw7P47LlMwXX9vDwS1LiXZ4hs33RrhIRNA7puIfxWsvliMf3RdjKFFzmIiJW6verDe0yhpeZrPN8RvQ5Kbsd3xcvyKiG1i2xn1c8zHuTl/fvPg6SG7fKhgsenYsvsjcnIaMV4qWDz6fupXctVbGBfc3z6uULHKfxlnWtB9ch46xZl3Kch8stfHXtC8q73Z6W69dfxGtI6UblbZ/xG3o5lPGa8PSVEmU5w6v9uUoVTi/ybMvskr8IQ5zZH4blqEperP+u7mdpx2f6/D/jQb24sGesf9e4QztkQ96zLhP47wLrl20Vh5qnqfAe8ewZ/ef+NUCaDuNk84b1P09dBd/2exjqejrsUL2ZgnaX3BPWk8uPjvPiznF3prkwFHD8w3Q44L9OkSLRV17emCY38nWEoY6HFcuG251LC8aZgG9wM9qe16pMWj/OC+yaLmtXgekN22e/UhCUzTy4HMl0Tunql7Wj83PySFS/5OlmfB3zWwzNhN9t0ssz1IuU6mTE96X0dhetZslT6t3A0cuIq1hx1ruR6y8wfVXE/gBTQowF106kaBaf5LkXnqxusV4B1IG2bAa2KuD7RL0+KMhrtKRgsMf3cXg8GnFrm/A03Fi0sYLjUqHJ3jbAIuSk+183TGq1no62r5SojuSv8KwzXK5UYe/ZF8hGzAvCPUhVZN5DKn5nz1jTuG/X6mQmWM6MqDn01FWfB3ESsLVwe+RDZzk1whJGSGn3oOlGCO3dKvDSsHeedEydHe6s//3ICrZmIXRDGJHJKIb3rcNeCucnC1PvY2NBYit88TjMy25rdKBuYapAk3GW0gW9N/Q+Qkt9c3vD33H/hL/z9i1+//4t/o5vPkFE8faTO/DWgDdJoUEAxL2mYeHn7XYJr5/zA/WZ5oeVT70qa3xie7GmFmvTmTNmkiVlS89dKRSwYftlmVKzqmsPtpDS2PNxt2CcynozSt7hZnVM/ZuWVBM/MYwAmJ720ZnxOdZ2rqM2C/faQNai05I5PENvmurPjLfOueHpPY0JPGVY6HUA5mEpb4RHhNpCrp/hVA8dnmud5lTnftRiRbpwbYboGS/HWnC7ntUmLELBPqT0B9PSPvaU5fGDCPNi09RITiqY9+ramBcPl4RbkBhjP9yJvXAfHuToGAoiQbKQVWCG3FFFO2Va5grBl+TxxT2chBN58gK/tDkGKf1Od6Pp7IferI9kwPT4kXnC3ubaw5RVMSeuVO/Ih1yiI+oujSFeBR4gXOnGDraf+w0jRNSbDFhriv7BEbbTE41xpP3Q1Dwibe66051jfPc7uuIOWfozL24OqapiXsFNcHwiWub8hBmaxH2ajA+Q0+4QQviu96ATduDluK0Nb9jzG4XeFfKjB9p93O12tAEwZ284ZYQkZqH6D94+4sePD/iV22f86HgDgAhRfBqDlwRnFTz6gW/PG7593PGTz3c8/G6fLmNNPrXFwzEPFNnS2aeYD/o8wgmQ9jXPU/CiLsw6b0TtDO9kGR7Wx5h0PcY6tg/m0fNphFPGh47jQ0c/BfowJsLuLQ+88tYgb6OeCLnsuGdj2ewWzfXuKBx2/sz4BBL0XZXuzXVPQvKwZj5PC8xs55rxOc+j0TK/FzVgVJDgMfWd67a83fge5o3mXhDDZV6G8ARoHTHnTfqUIbJALql9GO5r5XAgQlImr95i3FXDrhL9TPsOsx8L/6HAPv7m17Skiot9/Yiu15S8HGH8V+Byq6bKOLXZjSz19F5iYOV3hOCH6bu/T52mZxd8xe6Qp/Zz3LssKU/qE9b52ebl9vTiPeae5TthWbGxPwh0HL32I3CN7R2W4weOzHOpdV8ByeO/KmRR+K+IOOU4kXBrGrfmeviOa29zfKE8muvhMY/HFDErMpRP/07wrg5XkO38AjTuTX3bw+eFsUAOWUw0Y0dXXb4Ydi9DdnycB95aR7spfu3+LZooPn4Ygt953IAHyfjRF51eOh69hd6zPJT6RcC3NSDi8Sa+wSb0tNeCwauxbOlzv+wHhPFVAY+oK3XFaapyptLXAp81C59fTBgeL0Qxrnhwntt5PZ4fqsgV30F3OQvvYcz1VY8IFPvS6lJJ/CZcyV33zWN+T4PChG2ULNJG38KjzV/yOhY4V9Fk1FbbjH5zF1Qi9G6dK66I9xbPYaqXzvcknhP8Mk3juWb8gRUeMi5Boo1xxYjDmclQIddc0bp6zsa46ypt6GDF/+ks5x3paq28rgSDFlXNwwGnyIOKiJD2dCCFD85nbBmfOC2RJ32MQbARrO9N8TUYCsrwWREMJaadRfq5acBE0xGF64aJL9lwV9YlrcaoIftt8kREgZ1M4HxsREzCQpf0GEa8x73juHXcjxMfjhP34zRl7AhF/6YN/9/jIz61G+5yzvthRXFIx2EM2UnhiZtoGPO4Ae+jN7w9Dnx++P2wdjfs2wgZ7bJblV9YTlnOOiqNVMKfdXIpIkDQ4j7mSB4y+nyT5Yxih1vju9EbtXM7WKS/uYaKLhYhzjw0OzDxrdFqkEwUY2d+BjQm3r9qa+yGwpRXMPMFDuOp2vAEQfdsbnzwvB4e5cZ5rsDnsRY+fo0yO3l0l0KWU1ikJtoTV/k3v+t55jZVPPiirVQOWOZ2967O7S9D+o52ol/TLzxtGP0rgfbddXjaAWfZPCvD/6KuwiSlLBvv1CU8cM9/3zsFs/YFO/E9+OBL1+BpZbhcC1eaLsLfcLucAv1PoxtX1suVEeZUJakvbnStVyuSvijzndN7yvM+e0YkfP5dAeJKRYywkrc2w424tZvzjGnP8DqSgHG5R82i7mo8VYhkpvhZqgfxdayJ4eC2dZZNvGcRegJeXXm66Wsaw1VaiLgP4GLerog1v3fBxI0GiXmMPPHn3Gl9vumq5auC3ffatgwj9XnF4fT96f59R9quyVVfOAvBxloplvW8wkNLnf6FDiWetf9svNv+854k2NqFGtuVX55d9aHg8dBJuiesGwYE7M2267zUNqWOwS2jr/Jt0oIXdjhqN1b67l6vGh6wo4CaIJOFrtKZ2ENzHrSsySUdveqTP9rtj91a8NyZIC2HWTE3t2bOdbtidQjGBx79CAvmDru7By1ZLzfo9ITFCHEfd/2wRbOS4Mw0pODb3fNnOJ6nfkcPUpvIeSctBPXT3vM8GxxL4FH+2/drdgjX/JLTxku8Pf/S4aXUehzA1za26R14dIsLXtVL+dJaclFe0yfC7Et+emtgeV3fDt9l2NH4m/3D+n3XV0Veh3jxfZm/vz2SPOFZv5e88I7pr0rNLym7Vvbl779I1vtppRfw/J7y71mXGrEhpbj6xT+ReJWXB/vPcN2z8X0pTtzhry+Zu4K3teCJ9yowXqV38XNfUtcVXTPex//8br8Gi6jU+ghX3Ig+eiQe+ltS4tE0HqWsLwbkr5W+h3LW6uR3PK5oi2kC/670byfLlDov39X30TH62+UBEArBC/rqeZ4K0IVfTHw2RXEJQ1k38rVP5TVtpCRzFop5mvfs5TrWqvQsQ3v2+93par98SX1fgAtS1mdzU/nZV5V+l1TKVUXL03n4PnTjRcqwqGEQ8HSNKw/+JO/1+UO+vzLJaH529azeSiOevU99JRzJ7W3g4/vQiUtnpCd0PORHmiMB7F7wmc+9XzuGIe6bKVTf9MCjt5AXgaGAPU2ePOOwfiaXIV0Z23ubYZxdTiPD8hgHCl3evKvXPC0yKD3jd3G277KiYigzOxal5mWiOcxrrQF7fD7A5ya8BqvcV747byH5GZa6c/fec9a6jGd5tkOomvq4e79cOfGlOHiz978k0syX7qskI/40E/fjZ4hjvyR99Yj9ASZXCnBcfbZwGHlk9Zale5jGg4vvqZATCgkArt5I2ZugbnZz0ff6FQiXfa/vpGdeb9ksbh3fb5KQoHTyTttZBov1q7TZ3QshCIHNDdUTzZN1S3j+XhxebRWT8ewifFtNPB7F8JTwfsjo+5WHK3tweD/U5mlY/Mi8w47XHkhrU+sWttCuVoUBIxnZBuEVxN04sbbMmJRPr4etrSoTw3H81wPhbNnOIZ6jfmoDiuk9xf0qhK0yGO4lAxnz7tZSETsfMjyKf9zQPwL41XEwfz9OfHO84a0f+Ftvv4K/9flH+PGnD3icbXqLjY7bwf74njzxeA5tkUNoi/mcdyAs3pDAsJDmcfq8+lqQkBbwznPufSieV37o7vMqne8J9DXh9dBoSxTjjggA/WbeluQ1q9XjjxtVmRa4zhAKhqWnYDJ3zEzReGMb0Ds9xn27Kpher8nT74K78PnmOw89K1vUHYadaJ7HHShzHDNzmsIljTuCjdn09qXQhr4vP3CEzPkxziDWdsPkiQ7c6oYffjjAdEfozinluaMxuXey3x8S+837W0Pj2LyHFa83SYqeuCcZA39qmTv3BJTHCF/UZa6peL909lkUaG8Gl36/pcMP4Yt+H/DpnnoOS/WOlTz5CHidbdJr3p+34ZndD7rn1vgBOSXu7qx0aKynTu9A2w9ow5t0DGzST7b4DQ9rGJ6Eon0WiMrsq0pEYeDDBjEcoDZncorhswEwMyyQea02hdhdP8MjkpLdD6SnjKgBtvAK85LyEM2d8Ll7g/hYmGa5lyPdaRnzZdEm+H7NJVkd/Q6c35g37McO3MbdPu0Yh6X327BqvrUels3A8JAFMO58ayceZuV8byd+ZP1/mCt4s3t/fvIY3rPfnnd87gfeesN5NpynhEdse4P9je9+T+oUrkffBQaX3WFfEl+QrLwrLXzY1431/9XhUzsF+jYW4dSBF/vncbmO+J14TcMjWgzXq4WsxkMibBbgc293zRuP5/eUuwf4iGhASxY8HNEgGltEezkFjXieBY/6WJ8lh6f4VLAQPfmfjKt3c7eGC82hiwfdLPsPvrbrvYHBP6vGmIMHjjFboGa+EsL6O8djjxrxdjb2idfmJAZfVmjiMhdl7PkgZOCQOPTxvF+Vsc/TVXQffs9eiReeni7TLZGEeO1rMzrvkw/aQvstla/LWOqL9jrhKwXYU+XK+5bvb/2SkMMB58hjj7ov0i5yx9Iu4xjQ8HXS4qWFHe6hetY7bzGVPiSHTRxYrq0hfslljYQrvanqLe2/dc4z482sMJ7v41nPn0yPFvwrs93l4NS9+tXGW3jONIbupO9i7bmo0GeB1+DXNT8HMJVtuwhKhANHNBK1SEgCPFpEUgIQPMQfOT6jQfHx/sDZG76996D/4b3if2JSfV0/cdyvc2Auf8jcp8uZhh9cY9IFvvNUgMDPMOM41xWDpifhfp6zspZRRvNvKXmSbOJebkFX6LkBUlWKRcQY8ShLyHTTeAcIpnFDzDEm/aG9A/i6IxnzxhweFXZ9brHia513DarDdp8Rb5zvibmqc8LjcB4p8UG6lkvjy/O1wxXcV/rIMqDvtXIGN88zlmqWsw+h85u690M24756enVux235WtMcKMl+aS64Cx3beQtZML3XyTsRv8hjTTC/w/tY58GjLqX5Z3zbgPOjJoNetDK2UkaoLI8v4fFqEOnzlmR7GoSMc5714JDWl/vS7UyrDS9YEYXYdV6ny4sLorHUxkPFkNnE+iV2JhpdLJ773NfUdd23s0RXoE9vs9KG/mFEtNKbArdxpU2zMxyOhtS14dtHG/JiP3CIoqmanPgW0Zc8feo3vOmBNz1SPQ9t+MnbHZ/PA58+3XC+HdBvR1Si9lmmJ6zJje1E8hxOStMyN3GU0iYc+joueNnL0nfR0dTxyWTzJuP43SN+AWGw65FY/DccPgXTA9n3wCnjHBqCDo3zkjgvdFhTQB4F5oX2n99h7IbjvsYFHrSNeUtnaJWX4b2zm5IEb9QPxCU6af9FvbW+DSwvsuVFhJZI9D30Ooo4/9nu/av2N33kvlX4WA1vgcRLX+DFpQy3HfvyPYV/tumrIvaHntxNnaA6WWxYenknSyUalbl1ouXIlxkEUsju4ufHpvU8u8O76Cg9YyasbtxgUkix+YQ58n5s2/nS9KpMMOU7xJafJQFWkRSIiQkEhknsIZlZquPgT0K2oXD0kI5XY7hAkM647zymFuG0IOAgblhDetQ2kiWRM6a7bsokRVLGOuqq3NGmr+9IVYBnRkKpXn+fC08mRu3weFi5jb+HNvzkvOPtPMIqLXXZ+dMGuyuKuWrrA9G/EC6DGGvkWaZdEYxKCN7OzNgisIDkzSZjD66Wfyj9XvawwW+bYYxcMOPDgGiwwUKLIIf22sDFlglxRkHsCM3HjDJeqgMAebchWyKzsFIVhJyibvtBxF/skCoJdaKIO1zt4CjNrZWvzP2az/ZFy+P5okTruDs8SUxkrV9KHuq/bHAHM++aGM1ZjpXH9TBu3YMzpFdE4m2E/3gwljcpUxnn0FwqMA8J/WAl4Zu8zzhUox/qLMnHupunOk1Wj7YhuIbw7MIH9V1l7ukob0Kd6ObmkkA7RIMWyR75rhQPPddm3RE22HEQj5lpA9NzNSzOAo3vm4JHpJnQnTRrmHiC8g4BG5lnQRkSHc4Hf8Lw/mrvWLsRHtoERTkGwDa75+cw75X7caJBI0RULw10FXy2GNkfLNb8aXk+SrdyDZ/7DY/ehrLa/3qjOZvh9OKPFZTMU+ic7hRylGk40+3A55rmMOqyzy3eUesHh4ky4zDc+lhjOnkZdz1RRdUqWjRCbqKMKfrisOGvvA9zcOM548tnVr5XMHFFB6JPaUKtj/tCy9wVRcJywCP5d9C2wK2xwIsiIBkp7rpzpZjwsMGN+sZZqX3vM9Pu7VmZZuWy8/cL/7Lr0nehc1/Td05VEZlwx7NyBR/Hs2LwdXVdzHiZ836x1XyBzS/KI3ghw5Ayb8MjXSphl3o2D987zB1fBuT9L3kN9/Vo3v+xNu9oC4XO7N5xNbHea75XPOxO7uRD1CsZctdOWr/34JTK6+7g5sn8LFmddgVtHIOIIwGTHW/tROvjioOj9cEXGQ+kJutsK382mcGTjc/L7IHv9/K8yoZ2c/312Tu6ltp98nyROyqsmlxbw6zu4I77x3UIELIK80/r2KiN4Es1YIZ/p3EUej7rM5nZlK/DDsqMTPu8D1N4HWu62gvv2iTX5Vlmel6HRrbJd0iue1k3ARur8ZlS5mUmzxdycVn/pDSkLu1wSFRaaNX12JCUrJdw4fWirBcPgvYDg9G798jFfppwR39HDv38qv45t7aWKIZ6FQ7Lc5/whDNlGkak57t0MTBXij0dhuQ/pfEkuZl55101LxRAbMx8ZdDmQ+F18POl1iwqkKWkjMXwiO0QvPUDTUZ0Pb/G5jRrmA5JXrJcV1fBqYLTrkwb3rB2N+yZ5Uc+g2Eefjf2KlsmORNYRB6uk89xw2j4xDQw5/DENjciuU5xnOoCUGjzZdBFOmMbMCcBywqZYdsL3PJ6JQN7yuY0ZcE7wP5c/0mqfMuyv+ozTDz2kudJY3vPpr/q4/v5/pf1sH6q0r+LtVgret3OqOL79/mnnb4qYn+IiRAjAPBBTdwt2jKW2HmrjrJUp/9WQjb8jA+wLhm6nKf5XaWb/MmjlhE2KWuHp8vKwUsnNl/ms22XbJOLOhM8PQTCS/iq3Cb5XWHLuBzB+iu7D60S9X1I4VlHb20+F8QdsbGmnt89MqMextxOLMb7dPcg99WLMrNHfZ/3hGFa9PLcKDGnkj8ViEPN8MIhZcz2AM/zYpPHiHk6VLT2GZE/E6SnwD2JFr9LbZYUHmjhiTYzOmFuj1FPPwDcaGkVOL+94dsu+Bu3P4Ifv90hGBbOP367o3fB+WjQT8e4J5SI/WykfHqf1deKKHSdW4KvUDyRPgPwfSjTg00R3kdJEcZVy7gvUoB02B/wGXjJGKc4hJ8HwKFkOjyktrV5znr6R43JTIcVkJWXKEziwFv5/tIY02OOzw/hPVRP3AnrHuSHZsHZLCxdkEgTwwK4K8x8W/u4BGYxrsBh98S2gZuayvTmU5pH9lj2fh/GaNo9pgnnlLufWJmW5sG+DEZT5l1NdDerf4aAdcUUcR6UfAWVN4f1A8BN1/zWBwWShbqvQyhYHbdQA35v8pKs70PBLrFGse9jgiZ8jnlG/LbpmtvtRJ4TIU92Xz/eb0p/Mj9DUD58T4x3/QOg5iGu97KCBI+Oa1A+28P5Akw49HIPmfAbc7pf3DjEWl7MPb4cfpgwFRayQIQdjpMK8obUTzZR7rFvXv6KBu2aPcpNuNLDDlC/GZ7Q7W3ea+lWuc3uFfWoFqIa90GHBTkIvzA/QTRLb2Msj2/MG/ZHOu7r/dAht3GH2/1+4nZ03I+Oe+sQU75CgLdzCNE/ebtDAfzk7T7ue7s9cG8nfuX2GXcLbfHpHCz6T9qJQxSfSQntgnrvkkI6J5pQcB6vS/BEMZe2b05NZcaaGf6O++GJEBA+4NB50c9iBe13uuoBuyuYxuM4ShGese1mHtKKYRF/YhhXdFLiR6QEw1134LxpRFMIuoSJQ/0wc9ISxB2qvBefHbKnA3Ov0/EA4YPMp81n4nBW8GJKOn3iPC/j14WP4k+1dS1GMEGeVINGTA+VSWujfqF5EoHeSmcZFsoc6TE9soIHLwea4/1KnJgHSvcjecQN9yS58lr/mnLSZ4D2Om0jHlVDWGCzjvNl8oLFunbLXas7413ry5VStB7uhPX+xcHTpRfsDnc+eb819t31a9sJzkd4550p359LZwICuAGk87JaY+XrhfKujOXKwGYrw1U+gOhpjM/Rv0VlqOcUjvmSUuJyAjDXm3B2GpLTPMZThusXGGC8X9spv4Nv2CXiwzz6hNPPUKgRPxhRoCwKST8Hvm0CfDwe+NAeuEvHvZ24t463o6Mdin7rQG8Qtxx0PsBpM3VGyjxpkQXz+Kzkbh6caaovxdp6woOwsjNkLy4OXHowJjmT2vRmOV/t75USdlEm7lBlHQfjgNKW3jR4eA43PHkLHVFcapSgq75HOzqN0vzeX+Zjdn3kn5xHqV9X43sF/9Hf52GOnS8dnudEuzdjjflZ2rD23TBbx2fwKqA6azn+JJ4GyHOypzWFD+LIQ8RvMX6K3lufeasItaGiKYJAys94r0xH9FnW+Q652OHN+3cMT1g0DONRMjbfJ5n1lTTPBsghguEwZbbnzXC6yfIBB5y1zOfSnZgvtStZ5kSpDxRIMtEEsvlbG6B3DO9IFeABOue0o5SQoyYvMfr44jwdxCsRD8JRBtQiOPW7on9U9A8d8vFEuylutxl63pMb7roc+ZPzjpt0fGwPwDxk3+RAg+LH/cPMC4Ti9lO/4XO/4a2Pe2E/P27QU8bdsI9xN+yIkiTTy57wik/j1RWBWwVi+b3QY583yfmGnC7oN0VrFgnykCQzRmVhpE2w7/s79nnZYwRcY0pn9BE/d1HMcQZu8zMMQT5y79aG0fjgW6rx4QWO5JRo0o4OAdh5svLcc/2LkQN8LRR8gMo0eeHfaC0Ztmv0khSliNrnMSV0/yWGlKn/ujyv85bm+Ml8/6LTV0XsDzCFV8PyAnAhbB4AjWfbsIhyQVB8Qylv4JxnJ3BGWDdijJLnxK6/pc1tHyHZGgaIDb+EQ+N6uYt0COeHQVyPvxuEIbe1Y/gjbLAL+HSINRH2QMrJOVaxvcjd57e3RvOvMwyxeLnZjqKGkyqTSN4Ei1KP5ocZTGbshOfNw1nBEanMQ7WN9Xr1WA3kW9dYNnNhB+Uxbmba/dCwrnEfoQQTE0fCRdovTBB47FeIOog9tkpYYLaVGMzgug0mPjd0Bf6/2wd8fhxxf+Bp3rBdBXiTCM27o6q7fZ8YYGN0q/As1JcYJzPf9l76ZBDjvgjM+pmpd0KnNzVrOpprNbbGlT7G2ARzh9lPXgcFYr+4YrnfNUIcy8P6qbO+dPCt1AfrN+M+xmkAkqJyrKOFiGmgUMSjoDID6JVF2xfMhMAYRzVlgdjhgszn3tFu8H4C6koj0JbhPUzzP4r73UKYloTEbKZ7aEGfivBQC+WmhVPRY3hfDqZYIr8rtxaBlXGI/d4x5gE/GH1tD9M5+x5i2gXEAU2CYTbwsLyOsxQUSlgolDD3y71kZZYNGADlpWkKZU/FE33Aqvgc8lhYsUNK7VACWXnOE3sKGIKgKPoH84S9YShiOyBvBQcZHIYinebccYp+oPtkA1YGYHibXiYlppdY34VFL3VG/NPwCEzxppDpPesHEBZqSjuGYpgBx4Hcwqwm4ZrnVnSA8k0i8oP0UYRDtwEAzkG/GH8EjPln4SdcAdlDgB4GIudHD0ncx92wreN2dNwsHHGjyXRPWL+b5+wNj3Pg/l/5+Bnf3B5oovjmeKCr4Nvzhq4jFBUwBGpPXq92yWHMlfpfaR8oTzVcC7xLdfn68juH0+pt3GguCSczro62HR7vSHjUQ0y5mY7ICFssUHQF9LSN213RLgMums/BKNutniZm4BLu8bOvibYZjMR+xVjryb/O8cC7bO0FrPvYPD8IjB2k3bK8wFylS9tk8OpXL/A8b8sK4AoYB5vlEFZzfeMxeclaPTEXZUvuUt22bEAYxoityB2et8Kwv3N47ZrrDDpyQX+/pjXp+v09Sr+rUL4vm9t5ghT6vfRr82wnZ2yVwJQ/cLy3h+KxCmRevtQT8ArJ7wofdpm46ncaC4yDenkK04uXzVXWqnAVJCVtbvgJD/tdUuL7NlfbkJfNJOWay27X9Un/+HvFHzvcUhPzxfz4Pfj5RYrDwVp/xccW5ldOCcPK4aUz74Zt0nGTcVA/PGI75GjzCEARHQ52ieThRM+BRRFT6eWzdZA0iFKmy0pzdmvkyc+Oenlfu0NKgm1VdV+W30nu9we7NQGNc8MTJbigsbmCaShcpmzGV8YMumoMQ7ruhjtNDUc75t3VBer8hxkxMh+SxrlLrIhoyOu0Zgk+ZrfUwee4AcazfVvPIVImL6/X+436UT3iUp7ds6vnOxzi+3EHR/53lDITke23hE7Y4Pb7oXHesSgyXuCxPS5HjmDncOnRe8gTNgy4eT4u9kI8KmssijBqzZ0fL5d++tyizMVFFZyE5oUVr1Eu5EXeP7S/xQBHjBe4AfpARFAKo9zAx/t+vEyFt0pnluK4AVOmvynaveM4/O7vHhEQACyerZ/PA73JuLZGFV0Ub3rg0I7uDjhWxr1nHzrkzkdveJzHMOL184JT4kqlOPtzeHS48zG5InYnexCcKo0/Xld4Umw9sj3MuhtyC4cR5jlRgciICgFgjMfPXBXw67PCsFvnNWhLEjfUQURSY34lxlcNQA28hPGf0vcdDaG52s7PM7oJwrmgPN6XhM/ox2IcANQQx7x2X8z7BX40KfJZ+c2Ynlb9DgPG8Xs+CEn2vfz6Lyh9VcT+EJNsNqGlEFb5XibykkoEsWOA6avNUtpO7wiwtxYy7DVIwneyZH+2MZ68m9aF5VBng7yuwiFXLwkux67sS8gpz1q9W2WObZucSF29Jivvcc/vlHb8LonkIVv6856UGD2HI2b2MD2Zq7frjlnfeQ6N+m1uijVZ8rZmgnhBlBbLHmYCqTx77PI4oxz10fsgVkca5yIQUVt+UBueHRJzGMIXKWGkOSMnZuHc8Pj2jvNxDIbr1nGegn4e6I+51gmGQQwREdlgNAQzvPBFmNCYSx9X/BVINObDFXl1vTlMeCjrzeMo+mqhTfp9dsPfR9iQwp3OGw9ojblNIOG7ULoVC+Ow5IvCSHhvYQxCAevzl9sOpdXCbOa5jYpD4UmKJfYOEB172j37tGUh3KuzKACsyIt3NLTlYWHGYm+yBWPdZzY5fPjinhPz3qQ8JxEWF5Rn27G8notwSc/SXq8MLPfVxsP50r0uBo6oHpobmBqelPTODwfZkhiYxjRlb07cUwBsY9wUsORVmeAdgt8xlcYTH438Mxzx8KCWChBlfZKwKkgW2KHQ5jnkuYu5N7gsit3tAYN506f6gAHbp8QaiQ7FWCfapqLAo41DpQ4KXctIfvNcR32BV4jeqApOGd5+BywkufWhvSHqCz7EjbOE8DhHVvBnB3B+HIqt07xvhxDdITcLR3x0Cz9PU6aCNwo9f6rg8+OAqkSY4c+Pw4TuDxG++O0cJz0it6TQPbXh0+OGs7cRspmNy9I6z78sVBPO8aLnbmFz+chb6gord53RhhNPJflPPbqArafIuP+3WZjFfragaQKMUIeHNdptPc2CXWQcTIbE5d/9cJXgZaGnvIcF42CN6d6C9y1fmw/4UHfPk1N71J3Iz2iDcRTXxRE/qnKldjHhdiK3unkPTKVu8VRM/U5GdrXBOZ4tbnD4YA/FqxCthKtrO2N9ZPXGVuD6RPZr2qYdjDgsO0+0M57d7Ykn9dbvyXhWCeaeg/Qo+46wvjPKyqbCK7itdb7qC7/X2a/33BW7lVOftBMev7s969lcFjFkub2HlMts+LHlsBiYTATNyTaf9WEoeK/nYIc3HGVfHro77gDRk/ds8yd5tA1ckeTQpeFS5gleepqIfi77gX/TwTYahmfPY6xjPxu0N5x98ArfPu74W+1H+Pa849vHbfARveXQ/YKIJPKuDtfxsmJ2ByvMbngbC2HB+nu3B5mfrt41laYw3i/Nhjzcch27FOxC7QuQ+GKm1XFesK1w5nfF1gw5ivCIDUUzldnVk2hp9EtSPm22M7pH9tFxBVLwtLPvPBcxDldIgfK+ApV34KxgwWhtVnwxyXWaV5rzJO8XXtKVvtqwXuWikS3mcRkfz3OBk2m0Y/3RnG/wRDbfpc3UETp3jfJ1fqlfcW0YLzPJtXHmQUNYtpiX5fOMgEMlRwKmw7I3+qGFUZ6r6FzhCd3owt+pG2GIwSqAc52CpV5av2i3Y8iLOg0OwuGgVuiG5V6PjP4oybwqI/pYRBM7hrzVFEMx2s1PwdZ7tEl03uit03OG851zkz8fss+IItfvGHfD3hV660MR24Yi9nacEU3paMPoBphhhQEAx6ANfmVNV0HDuC+2lcP4T+cNn+xKm67DELirmEfx2HR8jc3wikWOcsdrQ+f2iQ7wp7/b4PdLfLB5HjKInzF0hEGuxCLltR7NEdDG+gznkHGGrmgYsmR413dEmaARJtfW6hJP4m2XtKMZjJfLdqGCa131HcOc0NxNXqUSdS9w0Z/y+ymN3MBBRk5PjP1E8nif0OmnqfAGQm0DK4z9MqevitgfYHJhOdzwgQ0x8neGVLqinX7obMxXV8ip0FsLj7XUBoi5pfrrQUhVwKbQwhHOcbbpeeqhzE6IuwwBLJTfiaJlmsoL9xotFv4X/Q5Gy/vPgp8i1+EI2ZSjESrNiK34oTI3yRbdmsfLSl5RDWVrKm+emP12dWcYexfS3JCQkMJ7upeE952swVx55G2xUq4eJuyU2eHR2mAConnWWdgGbA4LolZbz4WwEyPrY2oPhEdHP/K9ph5Wud8yQznHQe1J/kzz5FNpysl+IJQ1zigKMELoNgvV2y3MoQD6GPRHPwn0Mf56U/SPHeeHE3o26EOMkSVuux4ge2NuhXnOAUXIMV+rc8yxWz3KiTghj/CGG6vnmJKz3BGb5hVT2UPzmObpBOQQCzdqc+EwQhTe86JZXgHmfZajUreGg5A3n7gxAj9f1xUgXFPyhJAcDIHOPPxXrfU4nx92dNv35uUqx1DE9lOgD2MafTld8frWRshWu1sy1hoID79k5eyv64MN48TKPegMz7nMF5xZ1FCgz9DU877VqmPzwwZn2FOi/N6xHVMUzGMY6EwYiHo8X2E6m1k39ptOuAzchxTmLAm7kuGh35DhwsLy6L2EESNcxF5z3uZQ6GmEAOa96P32UGUx3jP3vd+H93caqMyyYVHPMMl7k8PLFRhJ3qqd5tTngOfK4DoE9aaBa7aGU7ZPG9MBoXBnRD/kDaFIcq/z4f0Dslgt1dM4pZvSzZ95f7xN+32ad2+EI3blnY5r1tvD6zN4eIgdJlubh2QPzwbobeD+xx8ZnsnnRx1w8qFD7iMk8e1+4jh6ut9HROMecH9+9jZCFNsdPQDwWW7oveHz0fHZFLAudB8yLKPvx4mbdHx63PCTtxse54isoNpxsjTmbSv99QFzaZ+A6CGvJ3JVwjADTDqO+dtxqjgPREoXJZwQ3tPNFtcUCSJDiX0cYyyqt4E3mylpVcPgYUTnGwyLOuzb8FXHuvM+5X3mY+HoFbHGjgfcIMPpnM+HGmwo5hoznaGUhPDuc0bKf/buBIByqJNomaMF2vdXh5yMC5PBI68tsCq2LH975OfSdfBYrgQtZWpf9/1R1H29KJqB5OlaZQa/diUdBnAdT5RAX1NOaa3SHGJV5NX1W9HMfF4fXSgFvS0AiwHA1vOWZMor2fPKs+ayP5v+xnOZ+XOkH+/jRfkyn8nzN8H7pkx8mlmilD3C+f1rMYJd5rsbwYv+y8TF1VPCyWp5F3wlzcvu4DC8jQM/rfiFU9AgWeeZ23V5eKlnA49JVt2lYDEkRwSicXA/Mx+7jnl7iHgF78s+Q8x59LljyEsQ6KkjHGUH1A7N3/ow3uoQfHrc8O3bbYSXVI8IQY27Iugs85H42QlkdaxL8mdhdHc1yfZKpwz5CjMvMEZtCY9LsnzgRYDB4w241HmOsfRr3hGboz64sRD1x+hhlT/WzmPyOM2i1hjPHpGV2uhXUs75woO++9jrAXdNTc2QUGM9h/w04GdZnTIXee/t20p84hW+280FlV/qqumSZ5BSrgARnX0aylzniXi+Bd/KLKfWTjLMkDIlsqvTZIbNeH0IAsf9kmWwysOx4W3ahzKigDF+i7NGLPCK0n+PbqY3DVmXjY9jW7ny8tm+Z/znsMyJjQz8k42sHEYVYZig9I4j7iU8bOUUA+bRzODAxhDKN5vTuPbGyzfbEMWQwfldmGK0QSP8b9j1KUhRR0CxS5t3Fe/GmdMxlLDnxxGWGB862q3jdhvyz/2YoYk/tDPJk281KtIDQ/F6Q0RO6ibU39uJBsWnfsO35whLrKbMHbLn9IidSliJ88twyEjn9bD9p7ZuMun9QuMq0bc185/l9aL8s7WX0yJE9FGxG5zIMZSxqRmHaZhTU6IfsLMhBUQsLDVmiPcGw73Ec8SzjAsKqzB1HkXfEGfK2KdlD5fnPKb0bmccW+Y78au7dNWGrxPhZ67r2RUbjJe2/BErY9s6X09h6IIm7nDvSz7f+/ZLIDd+VcT+EFNinC6AyGmGAhxSbGFKrrwqLx6/4qgXYdl/PrFWf2ZFu6RgSGaZJIw+IZQ1tNWVl+yzxF6yHK73erNbGBnLczkPlV4JRri97TxKgoFAfGSF8lRgeMeBxewIde0ZQuM8jDwJcWrNe1VPpXBXbev8E+dMvSoKhbUTQpZuMJN5JXR4nkSU3BK8EL3C5KoYIxHrN2AnDLBOK+AEnxiDxPzyeJ7BOsFlHFaRF+M2vdqGV+8rtS9zxFm8T7t68yHXpjElgv0elLFjMrS8d1gzAT8JYr5XBFP5k/pNz1wY4LZM+ap+0FGZCBdEksRqfy2HSOHXHL5xEVj8a4HlCvPM8PJ8b/HGJokJKJlzLG3zAU9hyHjIGTZ2nBsCf8zItLp9f4lD+Hdhdp1O1n7t+goai5iQEIw/7zWVFBIXwFBmVgUx44q6QJvn7gG6HNRUOKqwVvKylfdWiF9gHaiTOsdBRhteH7JiM++1OUS/66cedMR3sbGykL/0iz4LPXYFKrqGMlmPPP6AW50Hcf2OqZgzA6V+Q4Qk1pspYW8KhDCoEU7qaDosmS008c201IqhXFWVEXZXBI3vAVIZzvJlARTDi/bYEq8yH+W9F3GlIu+TxA/uUe6Wji4CM5jeIeCAD1ggY/44asDwEtGo3sOKuXcsZHgZiwAi5zhEOAdSFjcWGFrZtDcv0xOewJ/HfnADpicp5mGzd56R2tz4zLgoXmVTD73LnZl7aenTs/4IEk+4Uz69ZA3G4q3eqk9SFtjXFr7o7qCv6XunXXg44DuswxXtrc937X+Hd0/bvsoDbOXOFPkIZeyFBdzOy45/SF7m80qXnAllnpzJKHU+m786noimRF77gRMmvxcGJ8g4pSq8XqaLub80sC5jq/P+VGa46NdWGbLBl6NpmX3Z1LnjhS8VSq+S810Ln8edxaQ/9B2Phv7o+PR2w//3+QOO1vG5H3g7x995NvRTpiHbps8pXfC6y9iIz12VtJmBf6poW1n1RXSJ/jg/zDwDsMj3PI4dzU8Hwbs+vQN2ABQDEStOWzOqFExPWOIZk/zIZ2N1b7ESVtQYoNJwMHG8gLZxTbmgDRhesjTOK3j1Pj/LA0w4pHLvoe3cdf+e5N13kJVne20oD4nf4f7R94X38b1V89k87Hjbq36xbLuTmVRgysiKmLDw01x3ksl3tM/3pSt/HM4OpDJqkZS6KWOXvmP9nvr0ah9dvav0fsvIlvyb+uNc08lFJ2Jl+ySiUXk71SCyS7kejhoz+UEPMTFzeM6qR7DoAxerKyovnHe2YxDqVpOhCG/kDXubsqQcatfaDINbD0ncZCiHmyIiJ53k1SqiOFvD/TjRTsXdFLFvfXjFPrQNL1kDCL8aJ6ai7gue9/ocm+dpXlc4HmVYlpBU9hk9jXepfY6dB5OhR+aBHilamIwBpugO3fGBmBPFvNLGYcfvnOb7Zt+TpM5HvKDPq7o2NCnkrh2b+WI7Lf3y8/AnvGTlBf3Zvs6BJNkJLeq8WNNRr6TfURdwOW+VJ1/yXODeFTZntNHcsXdO5M8wfVXE/iFIScBgy3IAcuq0cHdvVC/XBN0s/mq4WrZ8f7VR9MiPq9XxctE5WQm7lydglvjOJNG7Z8rLYSmT+xPfdTDwETIpaDXf/SUxxqjH56MoSMLDE5hhDbnJ6tnrTGCze8qCkSdCEU3yImIoYemOVABxb+Oog5C0DE/MZ2komcYhNA4bL1vWlfx+mNpQQnemOoUYXarP749juKoKf2JSHPnvwkOn/oBgx2WRrmjnYDS3RI4QMQscDvepP0ZU+PA1MavE5CZL96boB3lGW97u4V1PoIX0JuFt3d/a8EZv40Bf+ghfPPowmIJx2E/9U4w8leEpcwnzFAxPyJuif9BsSZr2i0+ozUmlbE8IXYTUcl7mBoh7VXre4pkTh37MTHt9roRmBsa7FMKJ4bIuZiU56uI1rW0tXgnentr+sT+V0fehZMEIG8MTZtacs/9Unylk2Iuq3fq4x/FhQONlP9BCmLcyrG0YLPVzrqGPrRVhgJUG8rC5NE/f6Yls9zX3GYI4ltS7caWo1zWvnOU+IplrshzgCTGOrKisAgyFiIl2HU8Qkwhbcocnfh4hbEr/oz5jHkF7ncBqzo0iK+s8Dy/3OayV47fDt87fXk5PDAtLyfRSBXEHcp0v3/NTO5jnzvddv2uytPdx8UFQ3K19aHjOunGI45OJ30iYoTEkFJDoe57jWKtuykbGOWxYgpkPdf/zutnYPSxz6lf1avG9SWH6Tp+Th/MSEndgp7DnDh+Gw5a7lAynnX+kjzZuCjRFu40Q88et48PtRGsdH24PHKL45vaGW+shRH86b/j2cYv73tSEbgApXNTZ591AIhpCt//20MeNgSw8kXVEbTjmOOOTrZd9/ToWdO9VQmyePLpDrFGGhzFfYjTHeIbDQogZP9BvIwxXv+uIAHAo5J7v9lEZ4xdRfPj4SGMebJHi8+PA43EAMuZLuwBvSIMInNjz2gKYByqEN4I+0Z3h2jAsr0vI5hlRAlP45nZtXmcBm7vEUxOq3aBcxml8GHG1j+aYJSy6ua7AwRsauBgTCqAYe1e9L4dgqywNnDQr1cNgrE8Yi3ko6fKglXHKLhHP49nfrfj+2zgFXUsPYfCRF+PSmxPYr6ms+RjPaFiBrO3vjGKnDHg9nlRNL3l9zwnvBYLTYpj7tO4yjiTTSs6TvEKZF5FZPldueaETJwEjUsSp23lNiXEQ8Srq4zc5OqK/yGxj4oVs9JvycXcLvrvqD89FldnSHF7UFecXLjerzrv/dngPyHyG97viPcanTu+R612VjmVsnGcz92mtGKfyPqN6gqY6rJxzPCqAvAkUN3yrgsfbgXYMzylV4PE4Rujiz21E2GFvMKW/Op7UxwDARF+4DvFnlj1NS7ST99pCHHkOhYp4O31EutESFQcC8/J8cm+owBQyzlMiaLjPZXQJtO6iudvc/R3e87LObwdtp7Cv7gnr14zY56Jspb77swij6s+ByR8JsmwjCCBR67t251eeR1Ly9Qw+g+UHgpvkaUr7Q4BVzvKGaHzT2IGycD8quPh7/sE8f+z1weeMcPoa/Yw9Rv3dgowirx8QChiYA2X1+EwymfJaUiYmcQ7XN8x5pfaTPMxlZL6PsxxO7r3qsq/LKLaOCY/fENfa+JmQPMqMOFz6hsSEgSk3zr005VGZZXmOPJs4ANHLHRxc7GmhiG8Cg21p86wIMqMaON7jqXLZ+fT9UdvXcU7S5trrQ9Dvdhb8SUJ2GvIjZshek73DWL6Edg5e32ByeMBaRKUfjSttzl/p0I8d+DBkx3b0EfGIQhIDU3kKHTLit48bugoe51iQj/cH7q3j7TajKD1MmG9QNOnopIj18MRakanNT9r/hBfz87wn4/yX18/ORoO2CeIsk9eK6Wnqki8z4ezkYe2FTR72e7K7wUxLSAcj8mAX4CRc6n0RGWto508N9rtGpBMfLybeoLE4PYt8Uf+mPJUd9AgBL0yml+3hde7SJqoIgGVtMg/ondNou9IL70yCB+LPpY+9sDVqo/5und8KPMRcOQ+oOuvd4YoXz4J8ONwWHPvLkL4qYv+wJd65/rmL/7+UK0STX1U3dNlsKMtX07usqWuxC8L8rB0AC9P9UmD8Lsk28FYJu8WaX16/0l9qN7WX828FrE3dnlwIcUK3CNwbJPwlY3sPggsFbGk7iIHMfMGUbvq06AwvLJy/NF0dTm8PW7mPdexGtNrphx3GnDgwhZLaQn/yXT/MAPmQqsCygY1lPePlpn+shN0lJpSb+Y5hepuyUd7v4IH6edlfqnurQGZGphL+ggeXAwROvueAecgtmIqftFG8DIUbFv+tMQfi9Xr5uk4+V66E9TDH1qC2eY9JKKcv+s59Wr7WAxJPBGNP1/7qNzGTC74q7QjlX+orDFgwpZUx4+bfs6+/gMnawVZs8wICbsyws5CNw5sdCqpwLoTbXuFX6ljgA8lwKgzglRFlZphh+mrPXKVXOGLB0bKsYzy/gsnKlFu9ojL7XvsT+ef+8z2EQ2Y9HePQwufKy7uthc/RbeTrpoxFowMNVyJyGPI2FaruFNji9xAKT5UlZLF/juuPNO4AGuEHR1kXmNWeT69RTX2O+SCcGgeddf6/T6o0hPErwabvY1Z2xpUP5gnrYaWU1k+EvIvtsVuJj3EjFLPbw94dIpI9yO34ii3vsqHBIURfNJnKPvtdu/p9hMPN+F6mHT+TaIrgpdUweeO+bGvXzhfO0a6+p2vwNX1ZchLR8+/x8Avq+B50+qkC9vvske+Zvpen9nvpK8H0d8YH4fVaP9e+LPw18XMsh6Xq6ffM88R74VlXvdyTolsZ8IsaeV/5rZxRfu/68t61ejlHxAMJMK4vORT6EDzagdYbVC0E5dns7kPJNKruvac8/jvw9nsTjz9phEo/+JPkiKU6n1MWf6zcM3gInrr26b19f2855umv/i7K5d9TCQuBKRXmu7QJFyHFGS5MpWrHJWlNZV/M+bbYpsxyHnXZpu6+Rru7/Iu8v6lSre0vTnWc761jt7Zc1+a9gvhGfwD+TQbpu64GMzxgwI2W0xVLbizhZfwKEDNi9Xvg301TFn7tC4hRgYVL3pvE0aUKBUKZ39UMMur1NDI/ObFQfdVtf+1GCcfcX3Hdlz1qnWCtjifqkTxuARmi2vcbwsg/oim1bpF/sjcsJ5cNhzesRIjhs497Yh/a8NlCEj/MM6fJABCvy2XLRQkbA5L5tcg7O9liwNKclAUn64R5RamD94vOvClynOepeBbI6gqbtziHg+FQHZ9Qgarl0TaiR7jhBWwcDfm6R051LvhV3U87vgCD/5r3DG/aeG96F4/xPer/0jbF9s+Zx5ho/Het+0vK/IDlv6+K2B9wGshxEtdICrh1rSimoocUsoMAmueLEnII61V75ve5mQnjvItyNrgovhRba/hkSWwECph5+01mfZrfsYesCuwQXGc93Cc/oGRMXRAC3z8VdR/edyvilql+f04vhP2CQYz8dh+b3wU4L3a3/oEET6/28LsvhQjQ+B53nTpnQMTJLTRb8Q6uoaITg9Ak+lctRpdDEF8/vwtOEAi3Wn372lQFcXjQ8vodMu8oJFhJHr4kVET58PSju/y8/+QJ6evczuG16m3EfYZecTfQp3Vd7nxzeYetsgxemt3j0W8YDFbHYtcgD2vqo6DfhicvXDlbvKRjKtzbJwaH8ALrd4zDbPOeHWs59wdExx2awHqfh3ArcyzBVRhT4xbW895lqivtbUxrTN5rNj/u5RYebFy2WHz2G4eVXqWZwVvuqa42hd6JmQSS1enCRFvfXUGgN7vjZycQ3YirhC2ZW/yZ1bOYFWYzxnrcwTGsOLt1YNxhYiFRMOZb3Hv4Nqz6YHdY9g99eLF+Bo7PkvBmVXDpzR4Vr26Ihqcnr+vubmef71CuutBnbXW38jaL+fZZ0Bw+29zbMFhMDLzV58xywBe9oy5D3sa7/mFa6tWF1Da+jrui5xDEYdkr858JHyHulgz4NGWbnIDYuDzEcPtUxuP9NC/cK2HF7/1SozPdxhu4yJQYY11t/4YH83jG93j7/bAufM+QaEzfHbfTssZ0ZCQTwid5A88B5DGFJ/rDzEgE0/Ndc/nwNsakrTwv2mUoNV1K6waXRMPU641oHhI4SCmsLc5xv/bYUzrr7QJtw3tEPjf4Hcido18oBgzr3BPnR417fMZ9wVZnA+TjacLzEPhu9xO32xlCdNcRRhi94dSGzyfw6bzhze59vbU+5sTuQD0snPHplu4AHmeLEMcA4t3ROo7W4vvp/FngbbfoHjPv9/34XT+DR9A0dr7HNWDG4Dq8YOgOcmDu8QlTFNEEtC+s7PkROD8A/ZsO3BTt4wlpM/ywV3y79TGXAG7HiSbjEwA+vd3GoUPruN2A3pkYzfWM9gksBVjCgocitXi+MA7z300Nx1DkDzHPU22SyanMecuHWDTngriDaHp9YU0Xz6RjpcOUmetbFCZiMOB0NPqltRpac5lzhliuUu8cD/PRE76orXLH8LZuwtUAVh4GJd/X9DKFvOAPeO4KHDi/OvDBwC1aYHib6ICr8ijbw+urvkSfJcOmw/XOI6vUXZWmLxVgAOJusU3+p0aeday7ZwVH1LDF0Ybj44s+TnluHHxxP12GTMXMCMZl7N2eWdZztw9l5g0cQ+XEPRdNVh/jKX2/GA8rKKfSwXgj9iLddHOBa65fytgCB5XxURlxeC+hPhP8KVDl5Kt5iZCHHn2C83jf2ywzZEpBV0UTgZwN/a0BnxTnoTg/WsOuhDhlegm6d/PVaSzh2nk9ymw3xsnzZWPwcef3HpKe6BjJDJEtvMgyfU6T50apLmPxGtV16g77+2FuQyZyGFPRBDdOw58eYi9rpiE/al1H51F9LQQz8gt78gFDWSAIvlKrUknU8KqEp9ZkrinvzRS4illHXQceTlnbZc/vvIJ5v5f2p3xPjCEQ+PSqXMp7RSuikfJeDQ4u8APzYyGbMP2qa77jbUrbNXqby4BxhioTHmLfeHnGPd7/4CklyoyzW6xKVh0VqY/No6/5wKjtUMTWNUPOv8h5Dl4E68+JPkKZFXNmG33IwDuCU+CAPb8rTTF4Fp8HUpLOOSV439GC0jZA8HrMiGH4oMNr2Nahn3NdIkQxyUhjHEa33CveYaBZWOgDOH9l0MXzmz7OvD50iHnD3u8njqPjdnST8TpuFlrYlaeP3nDq8IR1JawCeHscOPtQyJ59er5yRKUP7cTROt76gTfLN4xdbRGu+CItf+U5w9Lu3CDwvIOZ6wVo76lIoHz3B0vn1o5fDzV4tj9RDyKH1hTH0SHSINLn2ACoDtzQm4V2dtiwK+MG/rC2N3AqPFZF7E2GU484lc5+aV+p2LggE/fb+IY3Kc0JJh+x8BIv6NNKU3eZ+PuKl31czLelen1/FbwSOITWHn0saN3TS/827y8jse7Gdo2WFh0Il/1eCvGfYvqqiP0hpooU67v6SPJGyozFWuDyImaZ7/n3QsCpf6Hk3CD6JcSTM7PGYCeGxb77hfPRriNqDj2MTf+DAdtYoz6j2EyEKpd3hfQqItrVz8gVc02SUo6zlxBdzBOp5DXzc20WmpdE7xaFY2HaRIFe7v4KJo1hUfL6y1LX3hK48OzXSHszlm1IM6un0yGj168o8InZZ3UF65abpzo2cDAUz8QIblLjkBilD1GVhyilfkylIQnYAmNIjDnErHMuk8y83EbBB7t9nBgIr9eUGE/xidcPJPiItfXqaa0rzgg46lgbKvtmN7Cq7BUu5+OqY7csysJzqdeFkelhlhdQbLP4FvY/Bxoxpe0iIPOaehcbIuTyCL0kqQiwogkFhqLoglkLBYBv5QtGZilrBZNQ5kqNqHTf3hIKm8Ob1aUNOBid4ZDXUT/PWel3rfSF3DiLUP7e5jNWXsspU9lb63ThbAPDEf6WcFoaF2z/nga7gmGZ6f2Pjo7OjnsuaFwMq/zpMOdtMDNa95ABQwprx/NzASdQFCGfF9oem3ASzD3Tc5quMY+CNDg62OMQZx6CbqHJ/On4kXGbh++yUOgxrnPcyyqqERYwQszZH0IRq2im5G220ZrdBVvTIP+ChiEkP3obQrYMz9dhnSthAe2KXFg5qEBMK+0WzG4RDSDCE8fSyMAVCKFVwjsiYI9DEldY9eVXopV8uOSLuuAH5D1a6MlOiJZG+NLhFQhP13EYMeblIAD0b+Mu3nInhjd/QX9dGI48GxpceR9+Gbyqzx3du8M8zK75ZR95veXZS5ylF9+xx00sTD8TVq/6E89Lm1v6X+vXOoEIy+lZduA0n0/Ik/sGKf/TPn5N1+kdishXz7aH2fGSPi/24b5f1OQzWdGzk5HIS4VsrfdJ36Lei3FtZcsvSV4PHdR62Hdr4IvnbgkpLfRJfMfusOuyf+XTv29x63twy6t0VYdM2v+96qb64mtR/E641qf9ucSR9fkVf1LaftZv6QZvp8T9hVBAW0v55p9M3ir+lT7xz/r6ao2f1GEDun7Hz4klczr67vufv6SPr7qVNAi7DO/rR1ZU5X0TXnvczraT9kGKBedffb3He0ChKw6XueAqI4pS2utPeIb3pIXWX9AEV0p/8doQ/3dJT4DMY9a2v5C32fJ55d17x+F9c0XSe/JyB0QnDVOqazfeJLtLbPesxASyUXxt+ypt5shDq04e78lk8zkB1ZlQaYUfllH1Ks/8HUqrUKz7tW9znyxyYMX/F/QAvmedp28ZSNxwMvULed37gXmtiSA8YPsxnCL0BuhdQ55sB3nDAskTVkTRoCHvXaWuMox+BXgjDxaWE3vrQ0eo7lW7YQUJh/G5yFV6z/6oeRZ8XHEUzylmXyqerWdw87xN0RqSLO1yNtDRu4woc2wwwgC6Qa2Zbl+Plc89k2foVdpM8LtwWWSWhHCWvtXfhZfj7+/GdV+EE9+XOcZ8AQtfmha90u7dL1n6qoj9AaZBuIk7AybxRvxMaRzwViyz7vgQTOqdnsBkGC8sFdI9q0D2HKCT1ythV4w6uJdq6ld4z45ytQ9uxZz60OJlEnqWO2vr/XzhJWV5HUko/Y7CPNbR/6FEWjd78sK1PnT3aKl3cAVRlOhfWJTWe3cUgfTcQ2zOqXW9jTzD2kiCuRpIUMYhM42pHuBx6Cj2cBDk+QimUjFjx9NY/N7UMcfzvlSVwbBw3oADAc5i1eJetOHpE3MMmhu1cQrmPcSYYyiJD1WrUmWbL6wVJcbg4Uc8HxO88z7rky5x92CSCbUwrtSHaS02gFFOmRZ6nE8wYZ/WMQk+irgrpH/QGc7IvcztgKidyFaxBk9jnadiWAX5vs0yh+GZW/CU77PdWqS7Ygl3TBi0CQlGLTMl2duytOtwxvcR8bvo68AsUIxwJoK4GxKKuCdFjrG3nIk+z4bHmwRzCADHbWjiI6QQKb7cClpPGwyHpyYGOfoFhFVm3ANq6wMwDiNrW/sdhwV0GAiZiriYW52NLsptuiOy3619vjdS3bMT02q1eq7rXJ/wmk54ePWqj/3BsBxzpHNMOjtb7zBPa+y52ANVkTxc3UuT75aMMXi/iieBHgVt6MwXHsTUj+ExK5DDPDFh80eHLCHw+R4Sh6HRaChSO/Ja+nxWukXzCsw1FoK9UO603Lbe6M62vno/RBPhHWC4uAi3Y54lz2nFXSW6gHt+pMOGBujR571ADfPgyjy09MOQ4v1wS+y+GDmsnzRB7gU7QkiN/S63gfxcyONwxG6B7L8f5zEFQZ+LMklNhpf82RtOAN3ukQXl9/tS77czlLie58NxjnbbELRNuzn6bffDnh+GR00zD/txmKBxoCG0phMOyjsgwuQtkTNiMEDwJjbo/mHQw/MbxfmNQj844iL4MPx6uw0r5sMswj/cTvzoPjaKW3/fjpHncR5h+R240y2S/eTHYYT2qM+BGE2rNF4FcX9yeu78CQlxY29OXOp8zvbwazNvVWEbQjzofcF9vjber20bXo7HpJTd576GkAKCLxyRXHTu9Z1iij0kvV5vKzzaif5Wvj7ogM5xacEjPCHWz5dW0l/T8/QyBj7BeewRi4IDU5iz1yLzKFSen13JDiOL5jJerqxvuiNKSz1X1g/RIepfIj+6vNta+dfq2HO1JDceVMdDXuZCabz1QPwS2E7zDouLX4zmNmkxnnjSJnuyT/w074/etqHIxqmgvf5sra2+BQ/wz4IbQ2a8yAsgy3uM9znfbg5245PyjsawPQz1/jEPpogzi/jt5yJuDGj4vH0imt4GDdeHJDnPZaW42qZtOq5z7p6t/0LTOJrJa/Qx6YmNQbwdWi/RdY3dAHZPb2a+uaaEEzjPRpOW25pEUqA5HKVgD9cbPDf7jTh3mAZnmLxo7EWNZ1L6LmScJq0Pi1D3Bmd+3Oep1QXzzWny6s3s75y/tjFE9yvs1j24g4fgE1cA4GhGkXmj7dzJIM/C8T7Fhbz/Ob/JC4EXFOGhltiPwkowb8YvhNugvRF5Co5xOc2VmFOORMi59Qqb4A+5L0bn1L0xjzzW5O3K6+n9JaXiOB/INAke3crllPPCCC7Brg3a5rmmSwWP+PksYg+zgY3KLDDnVqLvjNvH/BLd9/GfueOCApebeYr5cBgk3HXCopG9SdB1eUg6B5hRE8dnv8MiT9Cd0QegN0X/kSGau0KOjnbvQ945hiFvM0/YQxT3dg7jXpNzOdTwiJI0xzXDFCPkIjfuBUZ0pp0Bb7BUzWRd89zl+4D9fDHTOE349Oq8dPus8P9x9m78AjDOWiICUwP6XSMyFW59hHO+9TBaYbn6MBlRgBTa2UM4d49G143z9HuO697gsTGOpP1c6cOWF1LGmzZ3NfoA5V14n12+yG/7tuJuxlWbdztFrxp+0N0kME2M/GJ9rXifyrSCT7hvlb4IrpWkr/iNqMiz68VaMj2i/rwyiPs5pK+K2B9iUkBOjRBEc6NP6JMN9CpjX3/GSDNtIvtqysipRNx0x5RRfNCyC90RoZiumCtGVBWp7ZjiWtY3oNUTSoQDIfBHdX5odVsRwLTSn4R+sbIghLI7rBAF0HVFqrvUpISIy+PmS6sVEoJUYhiJGUzlq5DRZt703EM/7Q66CgLmUFhxEOL1cd3MJzFsebgnZtpMwGTBpj3GhCgAHAbn7rFkTGlTRAi1IO5+oOhhlG8T9qSPMEpVuEiM3gsGM833IURIENZwXk+MXZAuqnfvUlZwLP2xtpyYuVLLmVg5dRJuHQ2FYrTN8lMIoDtIVCaDJTAPsTn/MRfn7MMYE+EBHX3qEdLbKPZBhzQqweQx4+pzerk/vH+ucDkQIWEYt0y4Itxn7SalZBEEvGyMdUeLmZEE5kH/bYaPUhP6PExpCJyPhv5okEPRjuHBdRxW4akjXLGhY7buU49d62PgcVbGyve2w57DlRC80/oHUwiEgBCCsHV9RjAYONOVo73gc4YJDy1dw7oEntpM7XLo7rAR8Dj/4HV4u0D2Xuf5obEnhbO3sYM327ecZ8L7wC/Cc1iMP1K9hIfrwNNaeLuWxw9NuisJIwT0WNgk1ARSteK+r+0QbtCe3fzoUj7BkwtfSn11kmrhi8W9+tuoSDxsE9dVnTUSHPjE0px0gBGyMj4B4tA3ygVcywz/5lbGMa+j83FtgwA4bOJdSX3K2HwdRs9oIQ+r1+6DjcMzAaT1ZGDBfLzrmUcoYVk8Xmc+uwsIQ3juimT57MrWc3QF9+PE3bxuu8oIXWVCu3tSzLFjCta3cTeONiHv1oF4Yk/B59vKOn3uGQ58vRItZBoekjFMgB60od+B/tGU2g6PCrgq0MNIHa3HvByt40e3oYj9dN4A8yYGGh7nCEusigjhjVaR4wQDHl+EaWa+yOfB6bfkZ9pkHtSk8XL9A5FfGngBC+65xEX0PLaF9ecqKgoL+iD+Zqy71qkZ4wLtL7/yY9OHy+TEa+GNfMDrlSlT+N2Mm8tvhOOnno+/hFbOP7SU7ukMGqAL/LIih5+NTwZYe+aYv5U8F/lfd5TKGhxXo4KatvePXu2/V23HmOf+qfKSYDUmBvL+nTy/pvou+1brkjL/bcqGlzztpg5wVm93g+OTosHn/FkbNg9Xnp88f0kGcxzxjpSMVXZl6jy+F00QfF8W2fF3F/mWNam8165vPr0nhgGlGk3XwR+EklQmb+py01UIxEv8W8fk/SNjt3ogDxRewOfgCf1YDoHZmsMNVJ95yG76n+nwxQs/C2JZx+B4Irj92JYxVdjw/kTYYWtHlCKJ6FTCpv5nnjV4SlfGCmYEpQ2/CbXDcz7b87MFhwfH59Rcnc70oH7nsVe5DdgbM1N/t4K+K9li7Bd9eFFtrs/487ouQNgf+fmYy+2XstC2YZS5ACpM+HOhfOyQ4lcCxVVPNp7FIIfe+bFD6gPm3t/2k+fF66vMu8z9wOUWHp/zevtu7Lu0WxYn0ZFdxZt1pOyp7h39FsANeZMM7uDgSmwHis244jOF1R7eq3EWY7K5iJIiViDlOrt+N0Nquwc2IisdCtz7MNg/elzL4orYZhGADplykP+pzu+nyX4cerhri3tfPeSwR11y+dO/XyajUTMinKxnYxWvP6PTepGH0F38pP0n5N0c56akzMYxnB78Pt06JhHFza76YZvv6RfVpgF1cVriudg+vsIRBHtJhuIxK8DGrTQVT9PTM1KUd7t88uTdtkKiI+/oS+hFHLcWHmELcs/4JBRlrAA7w8cwJL5Yj/jctM99fve8/IzTV0XsDzS5B2UmVsyE6nwWXrOrJcu+8vLzvRYDsmGir5Ba3zR0kTcfPk0sxuGpUjWO8Lz+Pu96CaL5FLmt3GoStgkh10MKsfvXniFPRzgxr10zcx3W45Ktk4oHhteV++55Z1UvcU2CiRJS4XL9NuPkehr/kSesW48eKN5R8x3XwRMzzudmI6GEauV39JuISmGYq+LEeUhWGM852YzRmRS3vmTLrh3BVoSiKQm2j1Iv868VznpeT8VgskJpGRPDQg4Tr/woHwoJMUOWjxjtIMKuaGTrTMUK7+J00AwT3qii2rUNgy5lPsB9Fiqy22gbYXEZB9HhtOZuyRywZYNzhpS4KBGF3IYlc6sNChaPubDYNOZ4NFHG3cibIkJhyvDYPDAUbd3A2oSAevbgfXXLTOmwO6RsGguD0rxfBscD1q7nEBiwcSFXLUl57t6Tn40ZFOGN5++8rzvhjJn3eGXjDbzv4bWBqaxnuFAsd2uG8OXKHBt7tBN7R2N+Yi9Z/kDZbCDgz2yp2wNxl3DgpAXJz3FPBfzc3AqJu3qWybHx+b2yUR/jLA8x1mWyEWed6FL3bl0vjH6wga+0B30NkZUAnEc5r/fngvGWpqtswQcFghnaK6zMbQEOU8C6Ejb+LL/KCHdkdMoFPr/btSugvY27f2SGmRIgFKufgbB08PrOs6E1xYf7IwTpR2/Tytnu+Xn0Fv0Zoc/9PtthIc3GKB2YFtxuiCZzbdJhUKWDha/wd1ymqZoCdgjx5x3DCOqgfe8noPb9uJ1oze7UFp13JBFwfDwe6E22iur5oHROTAFAeODSKMSLEv0Opa0bFxYltg+FSOJlqgJspcOvBO2sXPGNPw8/3fAMZnw4lWJlbEDet/7evgTfctUfw29lmicN2vEBwFZ+2Bo2iq9RdGzfjd0ef7EGX1NO6TDIcTJwfbhhaTf3C89c81w93zbg/WO+9UlBnXk4WtHOoJRpPPfnmYfrVXtLfpvDZABpeYaR8pP6eO7tmdAfpxrSNubejS/YGMblyIPmsOL2Sj+v+rjjMcObJL97717k/T/l2pgMsJJ+h8OSvHhBr5b6MfP1EmpyzPcV0tkNAJPH43zPxr+s5yzjtCSdEepE+W5wxyHo407JXb0RmaD0WSacXka4AMq5yzqO3dlL4id8O9L8sNw9cH3t+HzPbdW2GXaZt4wrJ67kSV1eRb/Du7hTr2p+gj0IReBxZcEOVYX8SJ6wwIx2A0xDXi5mxL8dGsbawfd4NTFeUOShwQ/ozfgBj1Rl8yZc3uZtkQGYN9nNv5WrvMw2CUU2ijJ6LVMw3jOAqsbXUhdGyJjD+0NG7j7+BCuYvF7Mw4Y+7FI6w9EyF4wP+nAoYDkwxkdtcxm1eh0XNCDLvZaajDukRxSXubAqmBF+0niF+q6I0Nll//hA/DwtD5y+X+DarbLVFeAyP5+e3fic8jlA4TuV14sjiIGe23dhWsL3Nte+Oh5wWHX5ScecesSBsT6a7opVAdQ9Yu8aUZVgMqXcO6RNJeJxjAhAfHZ0qgC94a0fw4tTW/KGdWXwOBpVez5RbA/cN8u4krbbgrmyN41ZAByKfgPkFPtEctyB00dan3X9kJVxr3i+gl/8jFsFI6Tz3T1hdeC6gyJRCc+l3at7nLgfrogdFb+dBxqG4rqLJrw7EIBc9mcZG+9fosMxlVTe5U2p5byuWv175ory8X76zqnohDxxPxN9SJlg9NEc1yqPu6Gbz86NwmC40Peo4spjluvlvhae8JcxJLGnr4rYH2IShNu3pyqQtAeArsMjwr2jzgKINVQxsAh67yLEICCnDZsYeT/IpnpCMeXMrLfbZnjhxbPImyErsyr8xmdVVnqbL1LNszBJCmytRuzQrlo419/sOeKpPSzPMSwcVRq6rZ0rM32c7RzthyJzhyhtPtUQ5P7wKo8hPEV7VsYqrw0QBEV2gh4wla2kSO73TDT6TdDvhXCxcKgIwYYJTyhIHhPewvrT1ykxD9krgy3+vU4fU6oPzizSexs3K8fbaYfPN8mMuR8SMMH1+bIQzHLKModxz0raK5MxVpMoRAbv6R5dVdER3SbvmDn5BofHfDa9JyUzGiWFHGhzIAq0z4V5JlykAKRbaMw6pyg4oqzF9gC5Ko+3SDCnIaCNvA7fzZlMZ7ipCr+D0j2EfSyhlJHhDdtuinaMBaw2MMIMvVV8Po4Rvnhzn2S04ZZ+aOHhCOg4aLP1CivPRvxGQUfq9d1gwpx1quJvZ5xhVpxN0RwuLxhDIfgQIM3R5UEEynoKhWXzqTL4jpDEvuciE61ZghEdghavpSB5ufo4pQt6m/UL1+Nj81DEroR1Dzr7hOF4vU1c4qAY4eTgB7A6D9dEtvguCS8Yy8Se3wFbG7oKIPYzSMBU28s15NXEFeM+qblGVM/NBMgTQ4FPuD4dvFgbsQ13/XTB3g5tw7P9kUmWOM3w/ecD97a7RCgtT8sB2YJwraNBs2UeVumsQJv59zSdYcebxh72wzOxuXXhz70yXXmKhgglLO69eh6mLFUcbeR96w3348TH26PcAXRAFXg8Gh6fb2i3jm8+vOGwu8KCfLSOt97wdh7meYvRp2NsSj0G3YcoulkM9buRRTfeYK9YQfBn4qHwgAizv1UiOBxYOW0ATvN+/TDK9Y866L4bHIhGyGiv4n4/w4JZRIcgbSG6ugpureNXbp/RVeJwAgDOU6C9bAReW8MjEhvzApnBYW6Ox2FOVI2PnvCtAHCML7qLeFKbKbQwnhHOCL6C8GPFo2y0Nvoik9AE3jV+b+nTvBM5jEC8LRvXPBgsPCFt0oHzB8zordl8TT6M+7fQASnvZNDkXfkoW8exqe9lvq8pJadFS3oyh+nwlOrJFeNSYZoP0a/34ajXices18s9lascnnYRfZ60w56yizV+GsSmfPC71h/LFDy9zryrmmWtJ+0z1WnVs2l7ysqkgEXlsYxHNO+Wq4O+7X1mTM/5d6Kt5bfl2+79C5hb4MqjMmDO5+Ddiffw4uVsICK5ME5tmTeJbrCMiAzPa2jttf/MaijxbttE6xt0hPBv0M8y39Fvx9l2jhNiicx+T2NtqpcNLI13ifOWQ+0gWSbNxH5ul71eea1CvxLoEG/La5P49zqvPP6rfaxEsxlXCGYkD2buPY9e390355CUuaV/sy1N4x2Gsist87MACCJyUqrPzxFCqJqkHcYTifW79zbO9GgjeH1qspiqDLzRLINH1oEZZxJ/xF3ktfYx+hzwHl3E7YuXVVkQa8Py28We4XZhvM5y3+5SgMoIyY8MTz6vNt44Zym0JtddYJTxINfVqD46S5EOtM+g85VcVyu0wvEVR7ACRp04kNjYDqDp4Pk6EPIx46Q4S2uY1274XBKd4PECGoa9fJYjautQ5yuNaTOJMl8FLeT13OIXkPy4WQOvMMFqabbns7+QBSHQWxFqCEbl6IOudgBOa3VcJSZ+FZDhV3lQBCpgKF8PoH/oU3lon4ddv+LK2NvtXLw3Xb559IYuEsa2IyTxiIKkvY21L4jZFa5WUyhoXYHrdR+tQ8yAF8A4bxLDXzdAH4J+VzSju1u6hM1SK33y3mPcv0s64KLCZL8NWbLfdazXvaPdhjrZlbGhiDWZ8X50fDjOiKzkXsKncmSqsuZL/y8QjfMVvjd5fIxbeX/Uvcy8Sa3/1TxRPseLo1+vCpTiu/3m9Zbn0c86VxV31LW3d34Gtu8IfVJ5bjNFsgm4q0zDRd2vpuXLpu1nmr4qYn+AKTG8fq9qIVbBQ2p58azOmgzBZG87BJJNCtD3AD7X4eVA38tG394VsquHH10JRQXZbL1sOd8V7qjEPhil12GIFyU3dy/6RaEUv0faWk1f1enMTMDSOhC/OzTNy7M1t/ULT1hixq7yL8hdct+DIDQAxwxNWD2ck+C9q4vTIlhgC4v+/CnP+Yyhr/kKo8L1hRAY7TsDaN0g5jOcAITqtd9RjSEHvtM1GlTJBhrelgt2gUfWsfHBLpD31DO4uFwLzsOfzphzGfcOjrDdpd0icLHgPBRCM2QyMxqDqR4CRwrFEwPWqDe6y3hXOa+E8mYUeQ+XhSRgxG/QWtj46phjWblPPHc0ll03doLi9iDCF6LqQXiegIBZVwRwX0NoruVl7Ws6tNn0Jw7qSLFeaVJVdNSDoDi8c0MP9g4sDHZEXCDLzyXKggLuDb4Ii4FvkQ/XrM+pfYnqNrCYx8Jt7+bX65t4YfO+jtkfXRk7+eEew8UOjymSgctui1cJL/Wfgds+RTEOoJopWLvOw4ZoaCLtpY9Np1EK3xFk+dwjV7t5sBssDw9YWNgnzFCBPF/WTi+Izq2Z/V3HOBb0fF7OvSE+Pw6cKrg1GQrZ1iN/E1P2m3DZRNEPQO59DPMxOqcKnB8HrpTTzqAdxsremsZivDBPEu3VMBrze4Ykv491dKtwUsAeFpr4MGH51jqF3hqFPTzXmJ9Rl4gdq3o/D4x1e5N0mBTDcf7B8QHhuMABOvb4pQJa8+9RBW9UyrtLdU4lSHH8Tvx8Cas6z8DLQZPljUDehdesSpooEuO2ua3KIa6mbeqktsNTV2SLby9TZkHWupHnZ+V3HAl9TZfJlHtSDXArzefEa8rZrmBbsMqM/HoXhnfXLog+BpLyJq7lqG1dhedh+YaVpOyhGeHWyiZevGDf2YcrJXLwcbzfzZjiqSLqRVKhKFDP+sl9qfmcxXCvXl27s7sD9sv6yf2Y7U6ZaPJ2oSizvk4Dbntu1/uo4bIwiKS5DdziRoQLLr/Abzrz7Afy5N0uL3m4JUXVrg5+fnVS67wjJhpkUiVq84NpmO1y3su+1t9p0fbZQjnB/NouY+3/e+mEFHgpbYdcUMtRJt01GPuuAAyQxl1p6dMzlivYEKrfeDhVoJ9tRv5K73VG5PD5YrK3XQSZE69lPoRghObV2Nzx6bzBpvvP0lNljf/VvVWXwvvHc71rqygNK9+Rij5ZCy/HstfKX138tnZc4RpnKPSXZHbviy/v5ow1eEAfQ5EJRWDG/R4ZDUMWEswrOwpftVVo1u81EeIfPKcZOF7mzfsky3GlsV27T+aYy+3wd82XuuOTWfd32YepMGQYMxjR8SuAhte8zjU0WttvCA9YtPnpikOOknaV/D5TFd1GARIMr9ZaS1cJ8Hby4gpcl5tcKeuKSnGYd1hvsHuuhyLaFYzJoIk+n/IoNR/WvKP8vBJjhHKeoZ27Xd+2nPu4zOsKWZIh7+Yc4WN179+zH7Dmpk/CC9zifY597fiw8kJXcyBzDyxyKOVJVckGHC/n+BXBXNvY8lxY3zP/sKsnl7k2cKrtJJ7qCh9Znbvna+WbPO/Fbb8k6asi9geY9BDoQQoUCpWWDl9YScEbtljXbxkdmZtre2eHzI0iXZMXac3Ph9ocwtXfzbsBCSF7OKVA5BXzrW2Ftf/O09eIShwGt9n3ihAuLTg23gZyau5fJRgl/FoKuWXHdyqA3uzOyGOOf3dYNh9IZhQrorN30zp0ElUfn1popvYg4QwES5jMeBwWFI+0HRJUQXjDnh8dBmncMr17mdlmwTqNl/runeqGuVzZ005AHh6GNTMNSWCPObD6iNHguVYgGAC2dvT9kg6uN0SO91TlWROj7/NA91O4ECsKcLgj95IT94R0rzIPtSpIoVYHRzYO0dqbtXsM5bjQHPgcRhhJm08ei1Cd4WH/oPkShDLj8m4sy7PgG2boNnkGjpjwLooZ6riGhOY1sjt5tXjSDdgZTHK/G7y79XjHUGDcdXrgGbMed0RuhOeaWusGW9NKUcgTVg2IwqlJzNLZw8EqUrgdlRECOUK6KuLu0gW+eE/SPgplE0afIyQx5Q0BclPvWAux/afTq0DpHSZMy8Ng9hidCjxS2/TvpMRJDDLBRvpNy6qCgIVgfHuZizZhi9uEInBG7BPMPd8ec+8n3GGHGzsvnLoHOBS/08qOofTtoPmW0aXuoaTP8bJ/APrhodB0wjUMdlPbkiNKcN8YL3CYNJWwPobmOkd4JXv+OYdZdJo69p7ONhRDGcZ7o0vyGohQYY7njDa/iloR868Ye8itwM3TI7wE7L2wV+4csBn06Nxr1kd0AW5mFW17JKavKR722VpHM2/Vx0Nwu/UQyB9nS+UAsmC2z0+PGxQIz9a4x8cQrirw7U8+QAS4f3jMu4RkhPD9cBsIWEwhebufwzv36EP5+nagfzpGVJR7s/Vo0E+2PnYw4QYFvUoDOi32+dyC6Z/T0G7r1++C8wOSMnYI9hqnA9IUt/s5wknZgcDH2wN3s2RuojhkWH83KB79iLBacbDQzAvAokMEOrn1YaR1CtpnXrg5rH6AwozRkjBNdO93L0v4KgRq4i+CPygHap2UIZOPMvhsHvGEo1bMfgVPBGDhqXX2PZYr6pAl76TR5XnHNLKLijDxbeVjnLc2wqUc3lOpbabfHIKU+EcOJRs0hObHldu69MPoadcRkeRi3F/TmvgAaUvfN7zMlyi5OVRnDbu4GL8KreUzT9bgL4i32ChTtzIitbHIkQyfQLq3L94fpUKd/ahyJnvt7q63WZ4XfBDs4ZX8mdqizxLBypWwi1FvkVV4n9eDwZB1YOsnds947QhvfxlnEttDNwGSwpur2MIcQk4MJSx9T2GLi0JWFMNIypdaEXJ+LL1g8Hz2PmRDHy/DCPGoWtvx/hON2B2yVsVUOng2OnEVhjPG73zrBsxh44Ai8bxRjT8jzXSSsRdNNdWhmyzOsxWQisQH1/QsJa+vj8pZPtmObTPWmpISjHgUHlaMpQKeUnnMtY5stjAsB6Ou9av+81aV6QnrMmA/j7jqwr1hXXmj0oOn5SsuwEfgdUjNIqc5bABZQe7rR3gg4CfwU6k3jAjWBZhnN87w5DlgmOP7ele8rVFfmjfN6+GyzlA+Iq8NynLoJGUp1G9Zy+iKryefKXB3vByNy6MueUQl5iUjekyFS0WWqXzqqgxJ0dNUTE7EbHPgfA1cK4RIBo10nDUaFx4Qr7MyP5rp1Wi+ADmvkSHcZQ9Z+Rp5xvFQwneeX4oBGO3FOjdDztjjm3RNj525RPSog77LVExCnI6p8bxDOTnOCtxbFvB7RpPRvoUjlkOH0ekxFrodPXuh2j7ma1hO8379fB6Rj6+0cSNVAHjrzTxdER6vfqVNEwVax0fzovXrbbIx65Bhh0ODwq+/6ncEPuifh7FxiyvUJOYmYLeeNfCSXRj6aHnvEfb0BpwfRh/OD0D/2EeIdY9Q5e0L7F5dD0k8lM331vHxeMQYH73hbA0C4DOOEVUAtr4NUD8HsLFVlCa+f30/8jmQ40wUuFxw2fwLEoxZR5Knn01W/R3GfbMvWx4E3KiVc0NZxRop1Y2xg2OjooVNSO3XPgq2PPlytsjziXUuttFnqvHghhdI9Udl+Tnz37/I9FUR+4c4BbD/IgDNN3m19LpKr7r4HYaw3IPSke/LqfXLNeHYxlLvK5LhdCWMzwz2yQKzMXcpPNLGs2Eyo9ftP02OtN9b3vFeRaJUXxK6F+aWxsN98KrLc+5aZcZS/oXgrOWjET8w3bVDCL0SgrQ23IYfbNS+1LIlpUOU2n2aZ2aM0/zzmHapErn3rPGGoF2udUnbPAakY751gWHuX9pXdZzL3LJwgblePA7aG7Vv+WCIniXCPx6uNoeWX+WlVeOrlO6IlYuWeCzcPt6xpFo+31Evv697+Vney3ZAa7Tr21WVl2tfPjd9uerr8jwhGGe0Ze456ntW/OV3IEaTQWI549nur3l/XDDoNoZsdGELpoKIcCHFKvk70AEvHyGKX9VxBUs7ROF76j04ClbHl+QvRWfI4VFJeL9e9e1L+kppKo/HQmm0PQ0uqjdsuid6W2ft3wyfFPoJxQh/jAa0jsZwBA93Pk6FROxOoAhRpyNUsQ4DCjkF+mb02bz/E8lwUv0CR/BBlBtR+IGymiXz9FLXEKZdiHZv2CYj3LIrXsUOGxotCH/3cmGnR/TZRjD7GAJc6TdlT4K1jn25o0lP5wKFLwPVyfl0Bcln/MYVzlt4pvXnxX41mKzKnkpUdjzEsz1Snxf8evnuqs4vVap+VcK+Kz3jPa/yVrq2HvK8r+2dQvY7pS+RW35Wacu7X2yO3ePgzwjXvEMBC2Avv276FkqJCznjSo7zsj/VKd7hAOx5f5at0vUh/tdy55YQxSC6EPVK4HZvY5EzvYLKNmxwFMtpfqC55St26Uv2T21n04f6XcvveHhMXmXe9SfrODDnL/jcL+ANL/mGLwWoizl/Ng+vko/z1XzyA8aDocAl+BkvQXtH93SbGohISTKVsLukas4QwUtiRsFK9XonsaflGz5kNlLatDzuJZeiKzFu2ZzA5/282TiVJ3pHuqRVV4itPn7SHvNRMbwLnutpYvmD5EX2pAsjP2/LyyB/Sqpvvgv4d8NT5yWBeV+lYtpabAYQ8MsDfs96EG5+mrztF/mm8mgftn/dc0hzsW2X6619LzAcYZbr+x1wVmTB8CHIyjxWyMq196u6nMrf7VyJoyPdjnPdzk/qHH92l6zOaEvNyrEMGt8MB6lHiHKDeDOiF8U0OHgiByzTdMUO0Ropr6nTd/eCZcOchC+n/OeevW6g699dEXtr+b7Yp0nsPOZ1ztmnGNT8TGe3NGa4Y9sORr9n2ta5iYo59lwN2f3O+n5R6afVj58qQ/vTTV8VsT/AJKeOOzIFYaXjluG6s+5w4aOtG3N3QC3QcTccNHmwJkHa8wHWDxSEWu4ZLWFLd5Yjcs46PSTVq3t7+C7DreKVPYJ8HNUil5Wvan1nS46NsPwuJFXaWu7e9fUDIiywM9V+qAnyHmUm1teaLfJ4/cXu8nImUH0+BBTOVSfTRNaENmSCnzl3LgwHs2hjUQHOD/NOWAhZ+RLhZov5dOBIxEv9DtXqhQYsaxz9w8wbj4u1YmqXLCK7lLKK8PLhQwHPoCJR3sfQ73Puakqwb3slQn3wnDIBjxA3tEeDmZwEPebC55ktQRXTq5K4ucnQ23jcE63bnRe1z0AO5+jj9j2/C+3N4wXirkgxj87qmZOKdJnPbS2UysdaCs1Ny8vnAkc68PY5cm/eAyPsaNNhdefvTl9jW/cbbTqbhBHWqi/3tjiTHEoZyy8yLCIBV6gAh81/P9t4pgim2DUt+tZG+CGzatZDh6dvNwXeZr49dA5PblUEJljzuTRvy8XrXWd9YcVMlsh+/+CcaEz85sYPBZfMu5AlBFdxuPe7wzHrcPPfwHOFc+GDMR6nAsHlTA/wPO7h3U2enoJ5RyxZNrdz0gSez4p3omF6llBD7KHxxe8H92cSntzA+Y3DvuNDGV6yzTwY6VDI61ZX1nIffL8FTp3eqWLIKPaAz6V7xaoMD3TG4WmsMueV9qS6B6/nMULEwrUfWsXWcgFMEV7qi6LKlX88sT43DZjBf30eNed1wZND8zXKI0r3Qeehxv7uGPevqtFZGcrft/OYgiIQHp/AsHYed9aU/a8DXzQZ9wa1JnhYu428e3t49DZ0q1NE8fHu5sqwdsSE+js+nQI9G9Qs4s9vDH/ooGHtDUAbnkyHe4SxF6bTX6JTsSdl0o5+l7gf9vyRot+A88OAKb134KaQW4cc0wq7ieKD3ZP08XjEnbm3ll2iI8SUdHQL0XwcHRJKRcONXaCfj/C87ncMPHlieJXoDM087h228QNgj7ydIM2/eb8vZ41CdQARNSJ4IQcpjgqy83a1uvshCwxO/KrL44knuK8a3xe8RX32si5TpGgxdT5i7r2+igDHANLeJThyL9zgRR86+QIhfII5314XK1P6TfJYvqbrZB7MVWaY7225I7KBI/JK33W+u+B5A0fwo42R6yLbEazU8ldXX0RIWpYVC419792x3C8NJuRJP9KLzWcdXrybezKutXlH36oS1vc3e7+6sbHvpcSDVRpe1s9lHemTdicYKTjjMtQ0latGH1uvEavTjZD7HfNQNvEUsshaS8QikgVC5nHvNJc/ZNBO5zl3a8WH+xHmOQ0Qho/WfRTj4XkXfpYVEN6PieN4/mZ74852gkvm731N6jCcb6DoEaqSx0t0CRg8U6rH+w9kT0Yi1WMMstWF8VxGP5nMXyBwXq+nSJ6EDJdNmb7lyGkWvrUw89vqE19t+8L3mL9nWExKGWx5SY+mslPASuuQcTvjrJNkuSsbjGHYa3PQxJhKiVCjEIqSA+T7YkGfk8W0aSmLyYqcPgpElB46c9ydK9oQLlNSFrj83C4KBEKYj7rfh0s0hPfdNgnm2UHLbEwM3+uhPbCMy6J2hddct2gyJs9G5D+FKZmoHcejAVD0m2GTaZ7hOxh76Aah+ii4KnAqzeUFHU0d2hwQj8cTHrSRV62Naxh12mYJ2OINQl/9DGxLZG0hdeyX5Vyb6ViR0+KMcBdZqcJGx8B5bd1bYtGOVrqg8zzM59plTPN+lZYjMw0DimzAXw1rOcDGlOEamiljXYl6N4/YGIpOb9jH2wFpEnj+8+MWXqM8vNM8Q5vJUmrGu0Nmbxatp42IXY8x7+0xxtwehsDVYZfmlGjcLm3lDwx474eMsMQfhuyWFLI2n83O0e63Mzxhj9ZxtzF+aBZVCYoPxwNdBW/ngc8xV4i5i+YNrsXP+wyXRrhmH64g5lWQx5giKanO6EheDgjD5+mEsQetNE9CoM34R+FANWm242r/vVsLOuOasmterNm2e81qoqXRPOH0uK7r8poLf55pbWFjlrOe3C+Zk1bpVWTaFJTy+YQG/aLSV0XsDzCFco2QRM6AiQAuaNz6MJfdMh27MoIp7ELfBeTXXqezD6FEfdUH6kdmGPPvRfDZ9WHXd37GSthnG97KXSqQE+POZXxC83tfx0sm9yq96iczNIG051oysn3ajJc9XDngjJ/E9yBcReHr5Z3pTfWR8mXX5tO+EcF8Ngdx2ICyfDwfZW4qceP+XgpzlVF0Yk8wv2w5InQxpwmmM2PDoMPE+xJcfA58WOfrOU3dq0wCvyjlRvc0FMPpLmctn17MGZnwZJ7ld8mF9e2hCDVh2aZij+bX4YWfb9sq8+oMttCEpPseSYjm8DRDIUQLKbm+zAgOb7e5v5APtQpsRPn6u8zfZLw0773CLHN+x4GX++uKUeI2fSEodKC/TP7Igiz08YDSAJ605cUqzNH8VOOOZAii887Id+FfptHeHu/18jz2g+gwgnIDI811epe1y6RpQi84eXlqr3k/FPOADkB43W72ThxWvifVZfHuXSCWLY3f/F7wfc3jsMFhVsULl+oC7qginys/ZPS+7+bW95ICfO/z8EIdAtxxrF7uLlx7+Kmus5wrYsdQJBSwze+3ORv8HlolvsJDUPHvJiNk1biH1fLbePVmZ3Q3oPvBkAJNyTOWaRVNjc8Dh0pMV0nchsKx3zBDTfuhU5uHExHWWYYV883DS8kZobfYcrtaM8/7jeY8dff8jUwIY750qKcSeD4fgBF8VXh5Qm+2+M8nzARYtUl1QX7Jy2XKu63BUtDtPXHjMHRfktjYbTF0u8J5rFDix4Q7nuHLODRjXNVkDZd11ZeKz7+m5+nyJP/n242X7T1Z16eetVd741Va4Pe7zdNe2Vzboj3T9ek+9agZ7+2DikyZ5VV6Uc+zO78uq1zGWtphPuhJv0JWrPyBrOs+eclMp+IdRl3iqL5jRhrxA0Tu3678l+IZ4rlY/n3KO+rMV5/X71f5Qokl0/MmeH+mb8/OYLxyn7DKfBGtktK3y7MRbOaylt+kpMR+daBVBlzl6xhf+i25ndK/3JkJa+r5rtaU+rnwkvaMZcaqAPziiEtivI7I3jjX+d13Hx5hOz7mpwD8zOjuwjfs4C0VoL9NWqak1v9d9jn3iRSSWW7ExHnGb0YEnPoemNdExDtNdUe7UsvZeFRCBvIrrPLAN2PweYv610m84o23iXi5Lf32uZcL1lJL3qt2HK8JZY53ctn+rNv2CjfiByTv5U8qYPo5zzLPJoN4NgcBRch/HYojns8IS6WlyxQRXENOdKPfQTCPlpF+M4WgX/PSjvGpXcc5m90VCyDJfMte4Wl5we8/7b/MdsZ3hSv+U8homTLgYVf1uBzpeLPJvBfXPWKf4tTdmjGaK/hlqUmd9DjNzJmCdG3aqGe4X5TIu5V9eZMSttZf+vUl9LieJ0a935EOPMXn3zW9ouO/hOmrIvYHmIKhpw0w7zwFqgUz86nVWqIS9NwQtlZFL5Wk6gzbrJeFZz0QliOjL4FJovxszBlqTfVcbvyLTcj35ojq/rBpl2zOXI17xdjHfUE+Xh//ZnxuvTzugy3I06vvOg5HD0UvCJbvDV2YkdJ39XBEPJ4yZmcG5z00JDCQ99hWoJbhlaBtHsCm9ovXR7KyJsLLvE/0h8rPtsbPdtK4xOXK8cU91+IuxmO2lQhp2hfOxNB4eRyCuP+Py/F9lmnPsefvQc9igMZoVEtrr9sOsnfzP/hGmRaOxgSMOxbsWfVghN1rEYOfKd0VWplXe+YWwHHPid81ew6vIm9/9F1zn0OokNxX21Aqow/ysLZuE7+5EqhR2TyXcy38JTP6qe+KaTXv782TLuDPrC/HnRnWht9PCwAidmfP6N95DutlIQvnuO8Vg8ltrSem+iDP2O6Wj+HJPDzr9BTz2BPMfSrDE/KDTg9Ah7siD3gSd63zD2L8sqe2LkxbEhJJk5vWQNhaNZAfvV/XpzJ/aa3E5p7pk4016cQeVEGM4eLnSb/V9qPvO4dvw0HtzWDa74hUmKW0oB/Tc8VlN68z5p1oSh1XrIFbMpcTkzF2CVyiZkXdZAhp0sizrsamJTou7i3N+IDnz0IAsAECZCi6tZPCu8++htf8RshwAWN61luTvv4nIuyAz1eUZS9ap8nlrmE+WJsLWXB1KFZ94qmd8Hq1xwoE3XWvYILPSArEna1k4exzrXafszQMK2Raz/NsY6/dzvCOZYWih44a/bG7gkyYVACPRz5tHnfRIu6lZaEyBE6fLhk+wUfruN0f6K3hYV4geh/7/HyMEv0OyMcBZ8dHSZa8XmncpZr26Pjeb4joEXoD+n143PabQj/2AafmCXvcT3z4MCyZP94fOFrHN7cHbtLxzfE2whO7AC1DmO7a8OPHHQ898NYPvJ3HmDs4roUZp+hYRKM9cT/4Q9BULYKAhKcC3wfpdMHHJcA0qmILYqPHoSS0udh5eI27YQXJudfqP+8b3IWS78CexulFEaLdcYYeXi8yw55W70bBULrQNRvpbtzaL24PiH2kmErnGXFl4r3aRlRJ8xN8oEceqKdWNSnhmkJTvqZNqnIIiKzT82q1zunZIVs1dl1lpPmc71OdnamN1QZyPRNOLyIn2X54b8jgRSbctU2w+DSy0uyaFdT87JVRL9W/8AmQjBPc67VJ9iCtIeh4LJu9HfULwYWs71P/AhVu9jbTX3kCO0FTJOSlfp94hPu78JT0fvGY5jG1+YzlKumCZjx34GopQyF6F/TgCqQ2NNL5JcaN3GeODqV1np6sE89B4u18MzMNc5rg9Ira42pjWKzI7d7vSuSKt6rK4Bl53gxUE34m4+oFb/O6CcJ4ais7LPiB8mDAZA17ytEixlkQ1UVt8/pFm4ohNxgMJZ4TGHcON7rrVuanJESbEwcYaG3cBevPgQ35kzkqVuppAoZZKIxYeZp0xe9MDzhfWg+F0fFcX8jyiTlfur1d73SmJhiyXUdWaG3mbQdDLxUmmO9CbhEkGI7nti6MO5alMDzSHphe97ZnwoMwnqvhHG/A+0G0wDtNvNgAf51rYfuue/vW/6awK0dGeNoh/9HcOwNZztQSye55hAvOXvCPecDK+L5MesOYyFOoDAL3uZzLdS9nzolfNVof9escQ4Vxr7PCG6zNeDcmbx5fjLVhL9xQ2Ho7NcIGE017rgyEouP+VnE50s+IBlFxunASD7FTHJ4qgN0fe6qHIhbLj7hz+vE44hyqtY5DGlrruB9TYdlaH3jh/hhK22OcU73dDpztgB4Nj6aQtzain73NvSEiI5IXzROjn0sFG+VVRZxznh8F50eY7IhxbnFgyHPkZXy7dRzH9IT95vYYhrxiV9uIhkGv35vroYqbjLO34fnboWhzfx92/tWmEfz4PaKNzGsNeT8TTJVoa0GP+dO2X6KJDEOg/U5T5jTbz5wcbnuRDyOyh2SegpNu1ib4ad30yXU0od/I9wNvU8UZwELEnskRUaTy1yxfPKELV/1J0XHeU+7nmL4qYn/giZkRcSJPVrZDgeTAOz4vBeLd5mCCtnv9jkOSVE+tm5i8d6erTfRsczEzuRPa/fWV0M5tCM235e9NIsTfs35ohAezteBxM0N0wpiMqaSJOkzollMz8tzMYYTRtb7GejGBYMRKyvEZboAIAJCIiwsscdl6kwwzweR6f/K7hYHmvvFzJ5ie3w5NOEylRxnRCnvND0ZpfmN+5gP1wkxgXZjjcfh8lT6h1MkWZKFg8uYU0+K79rfM23LAo9EN+kJt0iSyIluWQVvqZQilzmC2Bs84QmgdGOGrXHBxJv8KFi1fIuCu/GsYQqwxx10wJxjzeRKW+ZBjk3hfxLqdWA6ZxefGlfaCwQCmQx2hdifwq4qFDcZgaInDEavYQ78Mpeuo1BUpvR8p7FT0R4D+1rbevyoa4ZDVQpfjRCiGNdpGhiveNzEnRfm6S0xHgFjDpfxmHTykLk/jbq9EOHqHeT6YwlyjtC9rew3Zg5mZ2/JbLf+Cp5rTUIQScgrp3kHdhzzyflUlpGzGTfgj5iV1dtYlHba+hokOTIGXyqiohXmWPFdhTFDmJeVhvCQzVDSFAY9Q2Z2E4LSXDR9E+zKEGLFpUEAJUKbMbvmPeDBCEns4qjjMwgy3ZhWEx4P3UUb/tVMZhSmBPZ96xrFvSbkqdLCm51i4YI26rMpvN5bQcQerNES4XPdUFmnD8ELo7h9kcOg6fY+OpnicmKHNdYazmorHGfqYl9QFTu0Np5pi99bx8DVWRMjBfpMUMnLcSWyKSjes4T3PwikmfLP3a79p0AV1IdqUsC5E/+jDWyicb63j3s747krYezvRMMbyUMVDv8GjN5w2LvceJowZeNPXdYzVltuNNhQ5VFyhcUFiGFxowThU85iDOUGJtnleYN6BxPPm7V3QrnlQJQuO4P5w34P8MP3VORZnjNJZUcoraHYitruzazm029AFeDs+/9GORNmKCxfZw+aL6UxtI8Fl1zlPz+jY1wTA57MqQY05vIBHLgsAi2aA19N4w20KWJb43Cljl+evkk4eIur/jrCQjB+YnhcD0y+SQavxA2i/6NwDSxhlr+9qLE0Qylb62/FZy+Hbl8xP7Ddd5vaJfileVPlxN38RPSm8YSTx4Hx4n/pPY+UDxd0Yah+kO76nu9tAuNTLUbtScNtuPElm9brr+OUda0Dvn/LpTLgMZmMMzO/Rpyi2sutObktrWBPBJ7FPT/u5PcTlOSy8MV/Dk/g6Ll5oBZddGiIaE+3ReILvRF7L1FchA1R/3O3eyTggwYsJWZPLjQCM98OMjsSDc6Why6FLRbs+5+LwpioNn11I5auuaT8AxsOz/jgj2ADJdrs6/7kdWwnlLutn1Fn4laXtKFN4e8JroRDetakgmYdg22VIpXK0j4L3roMn8Jl8juY96OBFStgYhst5fXSYt0o6K9zMxbP0bO0XeZTTM5zlMtxm/Rb++AKn+2fdGvuOgubOjNgbZkQytT4ZOxQwwKAhQISATcjGfxfaHV+n8ryVUGtuiFvQSUouOzbRoYylcrNvc9LCI/Zs43sbjj1NEArLJj5ZPclUvQv0Zoa7aFDp6LdxD1n/bIrKZvyKy+mMs4Etfkm8vP0b8qKQDIk4F2WDlghL3JQiImnIkEMB29FMIbtLLjN72SaKLhY1Khl9UyeJVvvZGYfj5z3P+/QVL+3z4U0mfvCqOIch3vEQzr/QeBK/ppi8SC7mr+cUpAz7TfxuHl2w4qDaKHfmHXjpXTJC3mZrt97Z/Z9H+qqI/SGmDTPqhD0Ur261z4Hn2fQOtEkLIVzuMvX8G0qxCI2vuk4Wpdpe7zgf16Wlcukjeyesnoj5ky2gk5UEd0sBtgKJfKxw9Ha7zvkIZkryvBZBITMT4/30ppQseDriZq9nRuK76WRlSCDinJGZxQhxsmHkldtHRvjRj65pHFvLnEqYKyNG43XeJinVPC8rU7xfvC9MOXPFRHLbcRCgsjDJPO7EYKiBgSuimWh7aEaxu0t241OHG/NKVSQ4FyB57gAIBZwKhnKGlQMdaG/M6cyy4/5lYyrpUMn5jhpqV8uaJObCGJLm92rG4iAngs0kXMTYjZEryqtQ2jSaJ8XlwUFSCqLk8bI+znJIuGwdlbGPzSp3lLHJ6SOnj2F6lxrMDy4bgDGzOj6Hd9wMTTzuBmFLRhOYXCGjEncKaVHGsrdiEtp8EAzrMjwLYv6VGFweNK1rzFmf5Z4eAnH58puF7wUHB74p9wrJqhyO4RSaF/UJjZ+ea8m3Y5Dnus+9yF5WCTeSVbJyOcWinF0OH8s+ABDeFdKorVPDmIWFem0KvdO+9LYB4M2AkcfunvqFbo510NRHF0prWF9txC/YWm7DlwdOXGki35PicMDrIJhjV8ev1jExy5orRYy3AWAoRQXmuTr7wXcaReo+QED9gig7RJPbmHg9m+0xiXq0D82eJIWsfbf9fpq01trY049HG5bQbQqPQF6uwWJIKBu7SnjNe/5xJ6rGnbOHCaRpWCSYR57W0ZqgHSPMU+/DCKx/GBunnYC8IbxFuUq+y1w4CgfxAv3DwI9TIavodx005tbRbh3HrUPMIAUYnrofzRP2w3HiJic+tBN3c0k67WSpq+CtH2i2mPdjeBfH4cPZ0GV4CR83w58dUGnQ0+47f8jwIECGx3Q4ZspZbVjDitHvyfcMIZB5X21IBk0Jh4Dmjuf3Cq/KaCMdLAuV2eCSJMhXPDcALO875mMwcBtHdRHVffhKa3850KvxFWva4N4kKJf+ALje9zwXBR9+TU+S6uBti7Lx0uOYi8bcZzozXmK/DrVay8cGoXGgEmt6wUtSqrJgGGRGs9N48lX5qnhdxsCPyDj1WR8vD4j6/vkzY+ZtXgHQMl3c1bzFL1L27ia5nKtlfdMdXRftML9+mQp89JsM+iGYxqktryl7J4actVG8VmOZZIhI43HezPH9UAjo3A5XeNle7c9CKJ/PVwPinkGZ75KcWD0veSw0T0neZmXfrquKdGAcSq2yMMLvn4zHf2ccbAZXKpCN0SjPxWgkj0vIA3npFK+VYHrqsZwHh1WrWy2c9k4rk55hP8/xWyd87XAYfMya81A/JpCN30mZo04qJRnXAQjl64h+knnFmWf87h1Qd4uyOoJ9Tqf8Y9+qGXG2LvPspE7Vk3O2BURiH5LMtqPnvob+8CriBnWEjdBm52gZzVM68Tpa0JP3R8tvz55oFr/wNuyn83Ub3JfgD0gy5CI71lTxZPkdeH1p0xSYLj/av44ZKe5sGOve7fojE4BHFC1d5mLpWnk3ZdE5CWF02urEY8IWR4t5zWbMtj2q2o5HJBxQo3qNbA77ZQz0jHHSiBbnzAm9r4YWMj+ThyzVK4Js2FzxtAq0N6MzY8Fdoerem8AMvetX2bjMc2JGQPJ7Xl0hCSCuxlnaR14eAXA7BgI+whu3oSvQ7w39bOjS4/ypf1SgCfrbKN/MWUHOsfBOG+KcCXlfJHpH5+B+F+z5AXE3bP+g48ztUOCmaLeOdiiOm11hc5xDbjQl7Id24uZ3w4qGvNgLAMT7NgynVRXtptCu0PMYfbLIThANL+44SyFj9tjfO/3BVWI+hdCz//az2PScneboqr/EL/AcW107R6/BAmzoNEcb5b26GU/itSo/bHgmee/XpspeljonFUhT4UFDQr8AUsZWHIHyW1Yc/IoP/nmmXwpF7I9//GP89//9f4/f/d3fxV/6S38Jv/u7v4v/7X/73wAA/9F/9B/hN3/zNy/L/uZv/iZ+67d+62Ub/+v/+r/i7//7//7L93/pL/0l/Of/+X+O3/7t38Zf/+t/HX/sj/0x/OP/+D+Of+vf+rfwz/wz/8wXj+nnmlSHJ2YT9GNCl5zOIA3KMQg7ERxnNlUSgI867aMKHIl5sUd9zbuEN4u8zlCtbaU2FFngrswUb/7K2Je6toIuEfJgaHrZnEqMVh+HGOKKxkCgdijXy8GcSGo3kAf9TcFMpoLIf7d17jkk16WgWxiNah3LgsNyeOeKzJaZWe5vhKZ1L1Ni6JL1uK1LCqNc+pjGxYjbx+Betoy0eRzMAPMzUB7kfOs8yYQh8fkiBM+McUcOrxenrLN8KJ/NQyjBJ+0J9bk8MQ7BH7QO1KaHUayHD3PefXExPOfMWs3XptHBsygW5fVCeBUL7IkC8kbvDqvvkWFRS51+uL+bd88n7q0GY4AMDiNkSBtedtp9XGYU4eFLZXQw7ScbYyiNTnrOIWlTp+dY0QGcgtYFelP0j0CEyHIcE3tERlgTssIbDDSGB6wpB+RQ3O+jcPe++zyFh6ygP0YcZTkUUB2eeTFW8zg8PYSoLPtGZdarMkKFQmytrtbWum76YQvPy0yfrusGY4SQLezEOUH/bj+XQzOdbQeO2ngbBKq3cSVlLOPRmnZ9f+y9ObkfvP+0DRhqD6dZczyCmY+Vt1y9ANnAYQdrWuqzL37PS9TbbC03jKY8BE3JI5EEY/GQUDLn2HEPej583OLpUIpK1JcO5HwcNg9zQnW0HbhRJ+4457LEPLmnLRE2ob2WumUwPPCnL4raniQAUYxQcQctgh2KSpcZQr2bwk4A1T4E6QdNiE+Q9U9vOvCSjL07hNUBiOoHHx9OhNBt+9/DRsXB2w3pAM695lvrM4SSwfyt9fG8jftwXKgEZh2nhe1tprBVC0mlR0c7Tqg04MMJPRu0C7oI5Ns2DuYY/n2a2sDJV6yGignPB6B3HSHTBSFEt/sYx/3DI0JJuTL5R7c3U8QOheyPjjfc24m3fuDUA6cKus4DCD9oOGSGee8KSB/hpVo7TRErOAXQbw/Im4T3q3soEHgaP4c0dseBlZ5wyKngmV2xwnxL0L5ZdneoNQ4lCL4G9Bg+KF5uoDqI11Iay8RlOmk9tceGNdymhxcb6zae+7NRryPdiYevDtR2iuPoE8pzzXm2QBYRSnT+FgTPtjMq/JqeJ1EELwUg62aYtqZCeY63NJfpelGMLvkEYO/KqwhF23oYfiXnjSwu42iBvc3Yqgfv075f1MPGxUu+0JoQXSt7cJn3C4RbZcjVmqeUFVpfnb/THo7npa5dovqmF++mvMDk5Yt6Yjwjb/dQxFRXVjryO0zY9fdhwJXrjWdK43ZWgOe+8nWEx6IOwmsJz3FKOF9SZJc6h0xbtvC2pUO6tss0p66by/MJF088nnABw4pPxiRMaT4WWnQiaKvmVyuOF6q6bfrMa0HrN2FYcmQSlUTXQ0Fl9Y+2cuQULe0k+RHlc0O7J47bIMwQwLwhXcJBjigZRr14bYgXvFKmAHPbh+EuPYvIJxEVxnGGWlhlO2sqss6osK4/4oFSHpQs6WyCzmUqnpu4SOacX6XES2RcE7Jgn2Fq0yE+7dkqq706fF8UA5hsyFJUYVGIHCfCjOqRDKV3PNklvi/4u/aJ9x9HxNM2PCr1gbGv7gj+0M9UADHDd1sIiq7EoavTHHnjdJaTwk9XekL9hq811ncqm3c+TsfvFT5r+YQjeYE05U1rXwVXrz8UzHI9Hl9kP99I8DnbrMrXevwc0Y5sqL0jjPV97C7bdQVgClKPjuS0NsQPMQ9PnQa8LTkEyI4NwSHZmLfbtTi9NzxuDXK24a2qDfpBcTaMc0oI9DH2+zgDnPXPs9qM9wJHHH4t3/jd70b/PwxlrN50XJ9jSlgxJeztfuJ2O3E7TtyPjvsxFLB8pc2tZQXAox9JGevhmJu6A0sPOdjPOvRwXDOuLICOK6kaJOGS5Sx4l5gYJhq2f8/0l3URfH6c+KBKrxjvbfjmnWw2FweAztMTKf3x99txGc/McnLKR3njZ+QJIF7PkTe8Q9Bwb4ufiYRMr7VsTWnOXhCFn0P6pVDE/s//8/+Mf+Ff+Be+Vx33+x1/7I/9scv3t9v1UP/8n//z+Df/zX8Tj8cDAPBrv/Zr+L/+r/8Lf+Ev/AX8hb/wF14qg3/uabM59NgAE3ucWmjDLdCJEdcreKyEhK2YdW6KnaXxVhhjZHT1bNeXhSmeRCk2pddV8nm/nyHOunnjICqFes7zVJWvVymFBb7MRPUH0qQyG8RWD8VfJec9kqJRNmNnD2tvz38TH3aF3JXWYsfAJkJS1mQ3niBiGwY/HSQVQiQlz17ZsLaX3tP3OATccObpINfDM3odmz63h8x7RYhxT/lMuRqKEmZWHzDFivVJzPuW6gg6U+GemVyZj0jfMJ7RugvPB31u59QrIY82AIuQLDzmMlcuWKc6vfuVSShjG4fPGcAEk+4vfa3zQQy6mHCjt4nzOC/XORjfAXxNdJyFNElt11BSah6JvbfpAevt9N0EWzm3Cibmx9covLB9bIT6Yt/6M14HHhfvc1Bh88TedSuEIm9X5fJgUw1mpxEDWZhf0QLdPCtNBm60RrSssdAahpKG8EvUt3u2aTPGvR0k9ZnH82wcjOucrnXM+36BMFLwQr5PYs/44UX1oDinF3scXKkp08vhW/S/dDDh7r4Z+GZMsV+rEdHSnAPjpj6mQfa5HApq2eM8n56HwzfHPrf3pjxOYcF5z7vne9A+Qp4AoG3AsXno+l3P0nVESG4a3rEPFPJudfTeRqhjIS96FYxLYezktPXpGao5RJVbSn9+HMPL9mxDIawS99oCMK8j91KWuE/er0JQ93L1Pa0kLNn+H3fDGq1rGAc7TRF36oo+lXNcoezer5/6gYfdIzDwp4w/Gp+HlRqROTUpsc+zQR9kSWZ9vlIKhPK50FfxNdW51v564s98fcPCn3kdZS/tDufHa/Po2c2Xl9nhkx0dTHjsilAiePfkfSYcqlNmn7mtJ/hLOU/lPa67sk9xCkrrrxsF7JfW+7dz2vGDAMGxA88KiHwA6mWiTm7ihULzyvN1d+9qMqj8rsmH9EI5OBseZVKIt122KyUs57ngH6Idau8qsRI2hSTmepgGMg8UdWDBc973NYQrljVdOzV5wzDk9qIXvFHl9eNe2OibjZOUg5GXxljHvgVngtWQB2H9dRLh8OU0osBzbXORVYA4D3mpwOck6xi8DTbqneO+uEaE6ByPu/JYTs+YN1zq4GqcB9NZ3vWLS92byd+xvPXHcjAt83eVg3dp0CeuoDSmSDxLfZ/m9aqNWmWFZVe+73BiB0IRal99w3SVwXMZ0F3xSHwtRfRJczSlIeMwc7GryP/UlKVSyeqU8dMEWDvQBGoJX9SxV5io+KbOeSXl1NcrHMfCbJIZSh7hvL7HL6bo1Tmalr76mYy3UQ15r1KSh3iudvzjRUdkE+7e64bBpfTC+m32fZgmL3vkehDLmWPt/65NLlBZ3B1v6fTroi0GqfFd9u0+67wvwoJDNS+2wZaS00BKSvAHzPOdcGzZI0hpMqS5DpxoJssMue+UgR+aaOztMEDFkH0SDrhIbvTb2lBJjhv0cv6p9J31uSGwNB2OBnaljR6Cflc0kSHPyrjXtsr2XWaEpUTDTZ50J5txH+wwMvcogm7IKx5J6XaOe2Fbx4fbiUMUH9o5r7gxJexhjTco3rSF3MhhnX38XaYhtZxjnC5TxL3H3m3aT+n8gvBJAm+iXwFiBDrs6FNpdTrP2NS78A0o763++mxb5BVtdaL1wpjx3XwPbdrZr1n/wtO5bofP2r3chldj79wFb1C+dB70Auf/vNIvhSIWAP7oH/2j+Mf+sX8s/v7tf/vfxv/5f/6f7y7/T/6T/yR++7d/+4vb/Z/+p/8J/8a/8W/gPE/8yT/5J/Ff/Bf/Bf7ev/fvxf/z//w/+A//w/8Qf+7P/Tn81m/9Fv6hf+gfwr/6r/6rX1z/zywpzAvTEZsBbQeu74Jad2Xy0numPK3N+yYxyE/WEIw8ap2xUaZnaSj9kuL4ol1Tbk0Flq7Yhjcr9yGFkpP0TMWIDjFH8ugJ6e6UsNu+Y5YZ/aA8JkRHllLnDqk5At4pAkaoMcmHFRVhG48iNPec/P5UP7AMpbog3a0aB5bcR4e/0l6aA+bZHQ4OWksnZskruLTr61Jg0y9O936g2V6IMjrD+/J8lO9JAYJMLGMobPHZ6QDBxhCE0u466Hci4jYXoghPsfZ5eB/6nI53Mx/st9/P531NHsc+ZmNqUphTzw8DOd6DJAAEz+m8rDPAwLyfmM62x/wglKmthmvjg5WiEHSPut50esftlDlEUBNuCuJrQprSAhqhdwYw9n+3eZlZlj3i3r0zHOcAqDH/Y9+eHzXuvYTXEYA36j1PU8K2jnZ0uGcjMD1hY4gWogZqITW7jJCoDqtKa0Z9jjm5YcD3m8wDcEdhd8v+oPKN6vSQaDZPCqSIAhG+OLi7OV9hZNAIPjH3bxxeBjBtxmPVuoczw9OW0ZS5pukw2Nfc1s9DpCZcEYxapkPhVbzxaI33py60y+uKrBUn0vtGuCfmhcpx/1Lb7snXBvwen3ygCLw8Quj4vGvMbxwyCkII1Gb3OX8StAe1KYCH5Rt1+wHvhOu551YcLadGCB/P3I2rbKrksWq03veVj9PhgvBN8iJ0HFLW2wma3wMa+TvGniNFNSuw0xr5WB0OYk3pe8O8+/YxgHDM7UWd5zBS6G517nfN+pQeCv0wEJQ0Oh0G4h6cELBbx8ePj/BaPlXQzwOPE/hwO0OB+TjHorjH6efHgbfzwHk2PB5DCXuaclIfbXrYNx0WynfDx5LXe3pY+xwYPhHYXT7kge0CtOiwZD7UPHtHZV1lWCJrVqr6vT4/Oe/oGOGZH/3AzUJOedmuEgrmcY9sRz9OPM6Ghwre3g703tA/HcBbizUXxw0n3VHua0X7PvE5vN8ZfNmTJMBE0E4dIeEk54+kc7uFt9QOz0ktWNrGxHO7VPmVdr62DnZFCAuxeti4HhpwW8un8zXmoYDcZsWZdvp71aencgu3HwgDYBnia3qedusC0LyT7FgNd5nuRvh8quiloel3TLuIS5xqJKZFCUxwGb+Fyl6Bjqzfw1ii7IlXhraL0umizZ33ePKEvbXZb87jMiDRxzhjTus23426N/3hdkufpO5Vb6cNWNgpY4PHvsA9Q37xTJheoo4jK15l3sDod12rikZjbtjoznjODoMZDrvZscXnWW6UOa8uaNl8hbHIjrfDNNhNsr/X5fLdsQn5Snn58DspgIRAjee8Y4ZidrypZa88OdT3/nMnFsVTxesb+OJDae4zgJCD/d1Vd2JeGJat/3GMzvw+9e9KvljWivlNHhs9C/6WDK89ypPPsefXw6KlqADGLzgP2prGmbcrSHeesCKK8yRjOjGDPeOtBol1ZCF53puO9k6fHElnAqFY3NDjpMAnPMJzmmChzlnFOXW+l3IlytUFDuG8gTNKu5HNfyd4mXml9HlpSwg+qZ/hzeX8ZIHbwBM9n8tGPoLTBefImj+GtptDru/EuFLEYZBhXx3YSvk0WZvnEwQIh5h3t8PblpZcwAfynAY+KjCY+cXRcOSVOe8AIlz6FlgMCHzfxtlq52u+rDGOyCRUwTGMTBOpbmNvqt3JmgDW5t9lbDe2931+2lmjYHiligxj3KFALVfaqOBoHaciGfQzrnAc4wpYwLxfW49oSrvk8uTt6FA9Rz88RPF9XGlzfjM+9TbOVT2SFBTjXEEn/ar6AJYV+h0R5UsP94pV4KbAxxNioYildXz48MDH24kPtwe+sSttfnR7w808Yu+E5IeytaP3KUu6zCkYMvLZPSS8mOdwH5FERYyvFTvncyNeUyrbmQzv8TDsKPwY458dKLqx68IHEh1M+bd6gZE5dBgUurjihsrn+Rnitn87OveCLUi89RZH0/MNbvHzv5dlgeCtdtFuXvXT8wZvHPO6Ywp+fumXQhH7T/1T/xT+5t/8m+nZf/Af/Ac/l7b/vX/v38N5nvhH/pF/BP/1f/1f434fl+r93X/3343/8r/8L/HX/tpfw1/8i38R//6//+/jX/6X/2Ucx/Gixp9j2liLP72nCUAIECUli3g7YF/yXAma7wF+qqMKbJd11iwX7bwUgkkw9++X9/hsGLj3pkV5VxDIti1iIJ9Xvs+zFSp2Zb29+uyqX4nZxLVAU/6WZ7Vdr1tK36/6Q4zbJZItcxOC3qs1fDV3F3sFuFgzZjhAzKX1xYl6CM+k8I5x+Dj7rIM9QATjnY9RQBGo3NPN766p43wvrdnA7QJ+xJDv6t6uVX12lUc23y8rXZMwI3zV1rO5KHkFGMrcjrEOfJdmnSw6samOJRXlhDXzrg/B2MjrvbF2+TIfC3/poMC/LvN00Yh3S/JU1jpTOf6sTGLFHdT0dmwVpzxZz3i1Yzp3shrNUVTwitF7QjcWQXLp2K7MStP4YPVd+C2VXeHoOcxkT4Irufb97W/mgOCO21nyhcS/q3gzDma0d7ggOuR5HeCoM7GPNZS0gVfcMCayqsWYsvq63TnkJ1uBy6eXbLKM8ealkF0Vu/OnwIEoHmfD0ZopKWf+BoQXbO8SnrBQTG97H7cfCACj/xZNIYZu9/aF4YXoOEEWDC9YL2N5IDoOKQ6FHD0ODtWA1vuqMOWqCB7acAOW+3y6jne9rJ3nc6/YJVVvZ6apnC55yfK+0qOlwL6ep6nit0qqLupMB9jx0Ot6sTlf8KLpYMDy7ozRXvbT5JG033fzV59Fm0/w5bYT78z3NW3Td8HpQZcEcSDyLiXsRZaXsPuq2o337bv79J0bxbL3noZBfsbDvdibkeq9X1fyyZfwtjsctDD7r+u5KrdVFtT3oPXa8IVXcu9THPFC5kky4pN23pPeLW9GgcKfEO8bimkhmL5gXxJPwowDsEQoS/Nh1m9JV2BK2qkQV6qfBzob2Smqtr932+LVXL0iZ8yncLcYKHhfyfo6Kfve2Z0IqlZhmpVDIZDbX8fYuzGXrizWGW5UBcqOAtSIv3+2MUMp811R6bJ2atURPNQ9tcNbL9q/3LMMKzzH71kbnut37mGtP95ZLvGHLFsQj5n3pj/T5/U866jk+pfnAMCOLY5fdmvD/NWm3TGX+w5VZc5k1gDZCWK8Fes4aV/yO+7XnjZtNj3Nt9bxpf2OFWY9424drvh+N9Jx2U4wFHd+5tMnTIxIlI5bZ1+9XWWmXhBK7W6WOjMyEl1p01soTQHTX5VzpFDc0m+PIPSlSWx8UEzjW5MDPVSyAKFQD4PznarEaJ17vroSVg8ddVskpfE3DHnF+i8YhrtDmdzjCp6aemEGRca9sU1oLr1Om9dl//s+su8VJsNw9dV0Vni7gqmrshfpKW9L41kMWBzcZfIHl7Lxd6Ulz9J35LGWanYyw4a3XRXS5nTwsxzjd0i/FIrYX5Ry8/d+7/fwP/6P/yMA4N/9d//dUMJy+tN/+k/jL/7Fv4i/9tf+Gv6H/+F/wD/9T//TP+9urkkwmHVFWCYH4jgNstq0Ohc7FAyLMfYq9foqI2SQkYTuuqkdKZHFsrYZp9ufcd5FeCTmn/uVLEp1bjwmXAsy2hDSXdjknVu71+du8OOQ0ea2ayBk6Rp9VgjdtUR9tXtk3UIFRYnp1h/9JuTJrGluJ59FVnRlvKMeyQVonaI+zc+rkp09x7p5GCUhTmnOnJB6/52o+u82f8edgBvYSQiywhF7ylamjO74dKIfw7XfegO00/2oAC4JgBFb7p8fCvh9BtweQOPyV2KeeG7JbXMchM4UpG4x5u/aY46xRi/JYb6p893ucHMYbMYjtYg4BFhYEBWMA/PKjNb5SIwuJvz7byA8YiM8hxfdMRkckoS8LqVPC2r3Cvb5Y5jjtsNwAgBb5fodpj3d/+h/2VK7mZfaYmlfxqC2V917iu+7AYD2ZiGE3aNHANx6mgQOL4o+PGP9Dlh3gBtWz2Msbr2n0sYeUrvD5VE6qZiKE5+vc3RaBcAxYUlAe9zpghkARHXOjJCA4MKbw6s2DfwWXq8M41FXmUte/2WPj86712Pd4+59BxXIm9V30DIUq2fvS7/ZHADTw37xop5diT3faN4Yz1GZfrP9+kbPuV6aE2bw8iEWzdWO8ad3SjQyDuQ8v+NXDHgc9LzscYUpzBy5AfLZQhKLot/onbcLmi+26rY1wc2tEK2NbnjH2hdv08uniq2+2H/T65Pvs4WKhbVF7P1YCzEhN6JWePmyFp7fvVwbVu9u/941lLB6I8ILGv9pdzwzHvgkqTohXss7I+z+zDBjylEYnZoHSBaCyqy5tQMnBL1/MDzhG3QoNI+j4/PjQGuKm3nCvj2G4vLz5xseb7fpId9lhut1pfKbDPgh742AvxvhSl8fMdxmd07r3fpj3q8h+B8jrJU0xe02rKpPsxLvbXi1qgruZp39sEOFuOundXxoJz73A3/w9jHuvB0gN71pb63j7TyyMG1wKee487c96C7tUJID8hg0lK14W6E99RBoOdjGxMOJnjhyiQXP9XBI1hAmd9FUmO8A5h1lRIdn5Ae1vtv+c/zqdNp4hXTRGfEz0W9uF9Y/PlT2tpj+AbbXdJ0zogFqh//SJeMz4j1jrtgyWnM9qb91DF/TF6U6d0O0GnDifGRSctQ1AozPnLg48XAFrLO3JDV+sYZcH4Cn8qr3hesMBWmffEvmq3N7O0/zrdHyCwOFef+ixj1+AMAGlf47xpA6sv7m8+f5TILPSd4QLeeNvUP75VKJlniklSamfnNxxxNkpMj9SLwQ0xtPOtpzmT+iD6HkWxrGPAAm3iraLh5srDRl+STaEUlRb+p8JXzW6DcGf7M9nOU6vJ5QfCKUsh6asd+LgrDiuT5kGuaR0pkGEPJl6rNfM9ABHDK9Y7tFNRKLDOFEw/Iyb5V4QFqDGGooj8cEj7Mcn7PZt0UxQ8VQ16vADY8RQIrW5HAQ17aAfiPPY+XFuX+OV9yWDsTOpVRpqI4rh4bcIKG48Hdq97QOwi3Q1oHeoHbHfbrT0QZ/HEhXMIT8aFX572n4q7upXWRAn9MYe0dE05nwrwnH8lwszhqbNQ06IfSu7pPKL/F6V7kqVS55QaVkYxpRU+Ul6NnEsQYzEdVn5ndZMTzlyh6Ms1ju3oJHZ12cR2v+XX+ZL/K2nb/C6FPDMGjksNVupB/ymoLwmIYx5tIu0w/l537lXcnr6+jAVMpVegAQrDBcPWvf6zVZtp7Vxdn4jkn0NehzDFKUoslDlvvbbdN1jIhHAjOuhckZO55Bh7enzzO8/zK7IzoimRlO9qbFyjTzlj2O/i6FqhuriigOP4PalHOZ6vS+6JSzxPCTuMHtXUP3IKck+ud4WPks1OlA0Ge70uZu9OimdrWNwd6haPeO1jo+fDjRWsftGNGfbs3vhn3gm+OBWzsjotKjH3jThsMW6S2utxkyZVMdXq/ACK9s0ZWCLvhS9CE7+p97uQvDnj/zcy5MWnTJqzguq7S8pooTS33VWG0UsXHt+D46c/T6hfrLOCnho8BxGu85f4pA5HxM4b+X/hfc7jzYVXj0LX/MuIff0ZZK4+KsrMtaPIxf76efZfqlUMT+otJ/+9/+t/H9n//n//ltnj/xJ/4EfvVXfxW///u/j//mv/lvvrci9v/+v/9v/PW//te/qMxf/at/NT8wQYBtYAYTYEil0lLdIAhitKpiFMhAO34jb54Kt75BmAhfIKUaSuoqJcGV69ts2Crkb5W0sinnAseLtB0zI5Zn6Un9k+mb943lwzDKVwVgD+2kJR+XrUwVIdSKtJ4KvKWMygzNy4cDuz8+HOCDNz7IfNVuGoMlpTargLUzGErC7a7N8n6nSKoIfynHfQ6iJYmAt3N+dya6hlHdrpsOmJ17xibP18TrMUbOGTopBJpLXz3YwvvF+LYwWyvYABczZ5Oppvavm8/9vcALOa/15wmjlJnz3IxgzqkLtCnssrdhBWJqdOLpyTxnxOGMtjPj43VL49mF/QnFrDO87FK3wc9V4Etj54GWIcV6RqZNotee3+8Z3DGf6RBkh1e9M1drmvafDgMgxVSa1b27Y+AqLFRmc3fgWGlpZRKxjvUZLXyaeI6w2UK7uSGcXg+tIvxSKwd9VynWvVRGzHrgeK5uB3tUXeqb0wHLqOk3jcU/EywiJrseEAZNW3gFey4gnKMUoob6v1tPxRDWYuxj3yarWjoU27U75kLn3HqZLuMgrMPCJCICngwDKTuk6/lOoWYTqhj4pp8NnQ6Ppifs/Bw4jMYBxFrMsMOa3kEx58nvgb11tNscrIiOkOwMLgo6YFQ8WsPDBOFTGroouikR3XIZmHfd+uQ16DtgVjJ82ncWpLeHwIHk99VGeWxJ2fvS1f59gh/SXin07uowO/aP0CGc/3ZatMG5KdzTk7lIY+E8dk3GEqWn9G18Wji2OqcV3vynz0Pt1/f0pvxlTT8VOfFJesbbfRf4vgobPOu8qPTF8i0HPBfpMlx3NZ5o2EZ7epm+Kw33fvwU4DTTTKMPG4X3yHPd2d0hOB/qbw+63tVBxP58Jj8sslM8lyxP1ryvnjkvcsXD8m/vb63T8aAz8WWedv1e+7Iq6utc7M5kfOxVQbjw/YqpICWlZjpUrTJlrRMIBUx4a6GgV6V5YppzlZY5utg0X7gVfD62bb9AVu/FZZWn9zl13k53+cCywmQlfSN5BKVxLU6BJ/Ctq0iK1G3/ng3Ey+qLvO+Y92Vv1j1Sef2SnvFIy/nLl8DSq3Q15Cd4CIJVMf0q8Z7g9dzC5kZ28KYveLcl747Puspf+N6QX2AsWcU5z+ZFy+/UjiP5TR++C43clXt1AFXzsmxg9W3Pva/aZ1ms1MP5RMUMxUeZFIZ8c44V9UDMqNF4Y57jWGsxT1Mzxrc5UAGkAR3mCStrlKRRXCMC0XuDgfAdql396hgb3m76xWV0QdrLmDTEr6uZVyVoDo/txuR29+zwhkVEZRrKY4TnKieXDatC2SMlnSqLlyyXYa/YywNR2kdpP8UUaPk95+rZtO/4ju+SFhq0+RG4+gndlgp/mL9lAwBX51pVF7Xv2KadVzTge6QFfVwtzCWg/3zTHxpF7F/+y38Z//A//A/j937v99Baw6//+q/jN37jN/Cn/tSfwj/6j/6j2zL/y//yvwAA/vgf/+P443/8j2/zHMeBf/Af/AfxO7/zO/jLf/kvf+9+/tk/+2fxW7/1W9+7nkiVoDcLiwdDEE3g51lBZ2povYZVUK4ECMxoWpYKwIphKbHb4ETcavuRhe8o3FlPK1ZvTkOKcVetCHZWI/V3tchOyJWY67jXQdcyAKa3oo/d+57m1wjdzbxk2y6PMe0XOCEfXsssYwcLIQjU/u0EDH4uOU8iPELCnLU/wkiIfa4IP9ou7WzH5USZkSYTQBcQn+FJyhP3YVaB03ij6Q0puSyvg2B4QmOtIxFfU9b14vHrYw2Fgo/nBI7Pc61CWOa7jrFfH58XLue/VXQc3B8SSt6YM8Fg7szDIaxS65jLnDlTqZDpKVT3tPVjp9AZDJmm/arNFRbLRhxzdei8j9bruSE8R9NBn41B1LxduzN1/s5E3N1BBI0v+hoTMBklBaZnpv9mBv3EVEqooL+NDkkZhwJDwXIMDzFgeMv2Lng82rgLBBiWh8apiWAy+27FfJoHZFQqCU8p5u8E//F4Kis9n1vM1/0V6wdaP1c66yjnXu+54JxfwfSqGwcS1he3QCSr80UJ5uNrNExJTUz8lBYG07qX8nn5hBuZbpKAEPina4w9DmW8r7H3EHeUtrcyBzx22m9VAE94g+CUhZp+TFziBy5+eKaEwzb6yZjvfvcQkljm3y2kh8dv4WDF7gY9JVfsc0pzKTxHgHnHEFwq1eOpmz2kKO1TjbmNPFrG5wYnAeeG41yBSfAfd1DrLBv0RSxT4UnkxAwxRbhiUeg5UmXcUNdRFDiHh6YewyN5GMnY/Hifu+A8aX6BYfABm1PxMEojz4kDXRSPt8MO8sxb4tGGIN9pDN63U+YcHRoepDCcE97PTcNCGdRmDrsFtHsPz9cZYm8oXh9v94HC/F5aW+PzFNyPE/djWDjfLcxUg+KhDQ+7Z/uP3D8BGN6vHIrrD94+4tN5w6kywzCfLZTXvK/lBNonpAgUce+zFnDX7Bm7KAQqH92RFZf+TpG2ieO40ZYCZYlX3pS2DOmig6ewMvydk3u/spGeR8qJg+NXd6o6HNfHrcyx1ylC90dvCqYBWhUiA75KfUmRIWW6GGdzf/6QpZ+6nFhS0JNKMzaHEosCUCZdq+FTk1fsxsA36sQTr9JCv68H8eTdVb0E11fesekqmwSYF92wcc4QxQDftct5vB+8/3Z3sab2FFMmoTqS7OK0bLMdkpLoVSp8RK5n7tXJX2T8ycq/RfYrcBRRkxZ6+WQcBV5jSF6+wM5OEbIcsjrs0t122l94PeN6nmJ8dW28D3XtvP8NEYUmumVzOq+dMZr2RmMB0lU2SbbERMd6zradnrEHbPAqvCbAuhZ1Pel7wIU/aEhKwpgPRchwu/mrOIDXKsHV5kDdZQKW86KqDd6rPEDwi11NiQos9JCA2tFKbUgekydaIqB4pBHP3gWn8UiDl4J9L/3X8t0UKXHvpCtwTrn0zps8/4xyE82QwXzysva9beMIntT5C1/3AjN174enu074XLp4sfdj3DY/ytFaGGY368XbL+bA+KcJs7XPk9cRzmB993HzGZnUecP6e9kLpXPpLEzWOV2+lwHylVcuq/NZBc9bFPc94fNW62cZkMtYndH56DttKlFgc97J88ZzMSMhDZiWptPA+ipt+hz7PxSClLecXcQZCo1jp+wEYLhWJpzRszCYF0DFvGzJOaLOw+wsAi8qML2V/bXJYr0p5GiTxRaKlmQVi8BksmGIKaJ42FyfXXAek/Fh/PLp7RbylF9tcz5G+C09xfpkY3QadgfOcvgcV9o0RASriGBnXsF616B1MFlTbh1yDEPe5qGeRdF7wymwO1/boFv6ANDwqQPAga7zGpsHhmL2YV6xrmxuUNyPEw+7fxdAnMOdnxvwaMMT1o2U6Xw21qjyDsjg/x6eNPAO182p0D7mu23JV9m0lIs8Ozr6Ig2cprOvNM7J98nSdz9/JVCcYyg4bddmqq6Wr8+WCsrvyhYoJi/PePwd8/HzSH9oFLF/42/8DfzNv/k38Xf9XX8X/t//9//FX/krfwV/5a/8FfxX/9V/hT/zZ/4M/uP/+D9eyvwf/8f/AQD49V//9ad1//qv/zp+53d+J/L/UqTK/TGHVg8nLO8UyCrUl/qY2WUmA1jL0SaLMKJ2QMXCJxPexRM1+uebX5Zn0c1NnuhHQUgcnijKFwu45P5eGSEa43Lg5q/sd3MF9BVD0KYSdkmMVOu7DRLyNt0yKTzuGPlQdy+VoVSPC6AJOWku72VCCVuVqLu0Q6jUpguEg/mwfhiTOzxzsCgBK1PuZThtmXtBPrhzZoH2h/NXuxQHn8bsuuC+EEBeMw8F2YfwXEOtueECC9CD+cxzxOGcoo6TmhAnoGN9mivKjPlzC29WNlVYTIKrUD4eIjMhSl6Phcme4yPGH5gKRp8r2rOL1zQQAisrtV16UkgIHbwWCsoHqh8lMQzqsIMfyguMEKHeDitkAi/SnT6KeWdG9ZIFZhgpDKs8lRGmWHtDfzS0W89gJIMxdUWKqIxwm2cZBI2x7sEF/tsYYxw0qAA75X+FOTscMJ7WlBmyDfW1tM9/vreaPXqMTKH8SXhH8hiuGDBuu+AygPaJv2NYLkzYehiz7jfHdx5iPKw4PQy5TrrHRioJh5b5YqbV4ZY92NPeco7f59L3a/k+sljDvqdumg/EdIYv943oIbmVQ+3KCHflynQNI5XK1M5FCnqDknwuhfJoLjMnBiNccPAtksa3CPwOt5qnS1Jey+qHVC4EchcDdwmFZfUQnTrbpmKxH5QMqQ7ydyDcDAyjjPDsVUQY5dQTR46E64eyS2d4bjVPUz+EO42QxkEiIvRwVMs4xOkD7U2Nw2C1sMMjzHDAqLf1GBPVRHG79Qh71VXw9naMvp0CPRv0IbMfojjlwNuZryNxa+XeBQ89cJMT3xzDUuTWBnF3S+fP5w0/edwtVN8wZlE6jGT8IcoKWKw8TpnyFOa37NkKs8xHB6wxL4FZ/mmIPS5vdSznyw76jptT2bJ5BKbocBjSuKYhKVMuFFFc7yK8Mv+AMs6nXniVkfB2jTZ6GL+g4RtFiP/c0YXrpr+mZ4lh/IVitBqPViMjT1sl06bO5Hn4hf1Nnq2V16sp9qgk+H/av1L2aV5Z84liGvFelX/V713y/UFz/J67cH8WB04shzruSyH6NvNSZUn/3HnYpHyEG9Mrwq3LwSOo/d34N2vDPNsXpxdz/Ey5ybzeUo3RtKBh/ldozJTLkJVr/CkY/IbBUFOkA9S4muR4Mpz37p2aZ1NhPT+40Bvm8hu4uoSNL1lImjv/rWWOt+O94CXGc9ocHUMZU+8hAtJ9j66AfY9XmzrgBD8pk6dLp/WbwjyPBS2mponWM0+7K78U5jlz+L7aX6/Gy3wU445Gn3gHrhMsvNXluuo6F/NKCNmPv/7W/HuRt7kPVF+cpwJbvLmFbV4r73/P+WMdF0Nq2oyJL6ByV2tUNDZJZtv0lcfEfO3MQI3VNZB9tpVuzElXsfMdnvuSLSljdzgm8sv0cPf+sRGoYhiZeHsBR9zo6NOUFyx6zaPNQTHcqGAYV46F9bIeLWkc78wF7qZsHEYds90HsnqAwxUnJezZkoFHKIa5Tz6dR/49FP8anrFxHZXArrTBkO1dSd7MgeEYd8O2Ng1QVGX4IZh87ErVHo0PII5nPk7zPvPrbCZ+VZM1EfImVIbhyjnHyMZPDCdBVzdw5Hk8VWWpLyvn2Z1lL+kKPz2hq7XdbZ1X5TaRObeJ9ki61nF3dcflXsrfX9Lrd4w59e099P9LoyL8DNIPXhH7D/wD/wD+s//sP8O/+C/+i/j7/r6/D/f7HZ8/f8Zv//Zv48/8mT+D3/3d38V/8p/8J/ijf/SP4t/5d/6dVPb3f//3AQC/8iu/8rQNf+/5f+FJMRU4NfTSFeBJRQwylRdWZ6o/iBO94IPtC8ZrHlpL+p37SERr9zz6UDLImmd5ToxZqmuZpw2y8HGFsheQJqGwSMyU/2CPE+rHCLu2D5HMh3yO1LcH05UBFmCEMB7P2wmoCfuvEFj1gOLxiH9/giy5TDvHFHVnrA+DJz/ILYraGFdhJpNyQlE8oncdQcyV0O+YP7vLEX73arN+bQe1Pkp8aCW29terFa/NZ1Lonhj3C1A9za2fiJDzXcrp+eC1Rhf7XJ9FsPY5dHwgA7baCeBtzr+eGPfdHoBb6hOPO9fe8YEzXtjAiiCsmdNNNDyfZJHZ77SXaE6dceXwtf6und62Rv9ivXmtoOmuXleuJGUzrUGEarZ9FEoor7Pp9NCzORgHajRIwVCyHGONFa5ZRIR8Vb7H0urvfYQMHYrdNqp/NOgp6NqG8ksFcMWKKS/kIebFBtq/EzAXmNikKyVt4BoWyHifCsITNuEl9moFwit0MYbwNXCY7phKRlcMJ2ZufLaNUUXa87tEuKwqVSNtyvr6Rn5BsuKX6CvhUGrTx9xvsH0+N1agtwL7qc82Nl6DJCSSd04YNLC3XsqbB6g68VBYx7PilvBW9IFxlAAKmXlp7aP9wHsa+2R6B0vkWfhyN1g4JcMWj8NxhM8deZkEzOksuAg5rHSjfCxAV0ITPIHjMDcSKvwE/Jn3me+RcpwMDAWqWdjG+w6I7XVGxgKY1TSwj61vfxb1JLxnXWg/5+ditGH5FlzQYB6wSEpenwM1bW1zRb51VO7znqLHo417i4559y9NKOQ+N6eI4jDDk6MNL1j3eAWAD+0cd8VKx4+Ot6imq+BNG7o2PLTRHWkGj260YkYD6IMOcugwmV1K+5nDOKY7XDe8deUPUl275HHCCj2KQ/fgF+ez5aAJuezSp/ixfqYDeW6vUwSJTQpvX4Z1xvE2rlBcdHoelcg8EFzAwtYNgsUwVGkfcts66k/GdO+gf18TJVJ4Mf/tcLI7WGL8t4QKLvmroWNqh+qMNdacN8khFQVSH+J38ES5X9XbZvCjK0wt+V8lrq88S9kE4+7wnTIWWBWPWt4BU8Z0ei2OyyQbimz7qXHwuzRP/EalvbmO/e90cE1rvBw0Mu3F5DX6QbKi8yDlc4nyIfS7Pvevuh/roJmzTyqTr5q8BULpkc45fL7S97J21D+fi9q3xEvSOJgHi3xusG70qT0kjIj8L3jkMG6f5eN3mYyo19p240qoHc7L6Hzw5vQ+ffK+o/V+diidpqPnPCyPcF1VBheao5QHsy+7evmAe8FdBX65np3ya1FUeX5F8hisdFk4UlUX04B7OOI5kCEDjvJDIQE0C9OhapFUrJwIRgiP3uJKixCWeA8mJYqkcNYQM2j2vDS/UT7qEsy4pV4+PugLfWp5zvVXeGHDsLKWu/w892MtJ2AIMt+h2NQhA/AX3Md9F6xhRxlmuI/+57xTrXbHo+z27TvT5bmf4/eqaGUcA2z5srmvyZvTBuoyW8XJgfdr5CHFPAcuMBXlnRegx8sYeX+4cWGZKAf75SHGQGvf0rmP4b3ggZIAR2W4vt3E8x47kRYonyNZqng/okdR3X7m4IYx3bNI7N2GHle7qNXT38YekJYbPY6hYK1hfxXA58+3pIDVLsMT1mVVxyUmWzr8B113b9eb2nmBfdL8j+tuFLhnI9+hgJ1X2vB92K0pHnZwdLd7Yv1u2G+Oxww9DDVPWDcS7mMLtKnAjetuMI1fkjGLe8IaPne628gAilO9xqziti1dfpZ2uG6zR6/2y5KP6xMMuKwFrbK5njl6WuC5Fw1udSo11T0FYBKzJ2UCL120scNj732/c477OacfvCL2X/vX/rXl2YcPH/DP/XP/HH7jN34Dv/Ebv4Hf+Z3fwW/+5m/iX//X/3X82q/92i+glzP9qT/1p/Cv/Cv/yheV+at/9a/iT/7JPzkfBLFHciEHsAB0ZlT8mSNFCaHkcgM5AuFD6ALUjojD1V4wrSzrfTxMeEqbV+GIUzljMoZFqCahaB5YSypzFYZNRea71C9/jykABCK1+Ybk36XNyWAotLWFSQhB2NsvXswL4yLA9MzBYAbOiTiTUBmVEFwo0M5xiNXTIXbOtxAKgp04V3+Mi8/FmL1+l6mAbUMpoQcu03LgqJhCpnK4pDIeriPmb/5WmIGVwWq1lA5CSgSG5yr6wkw1MARSneOLQ3pv1+FdMMIRdfPCOaluJoq238JDp8yDj2vuzTwX1XslmDyjliqC9kZ84zHo73hv4UpQzht08pCis1+hiHNPKIcHP7h35ozmM+bf5ovrrwfZ2tjrRopCT6b1sHWMD+H4UMb7HAoFmq8RbgRTCetj8MEzLPKcFEWO972bt5E8TFEazKcJdeTNOmFN0aVsCu9m9YYzZle6QN6cGZSAaTWqLafdB1LC2MQYGG52+6jMaTq89Pnld/zc6/TDsw407weNeSoqbC7C42z2MSkhaA8kOBdX2O8ZNsZlc3y7jJxf0qFEHMQ0DIZcNIMK0beQDXVGCBBb9q0S2MtXXOvl+WCU4NGFgH6ffZthuEoDfe4BNJjXNuEHYIZHa5PR9t+uMA3PWDh9mR7R9aAlwgvpgGPpwPHJYNXxhNXvdys7/hh9toy0/r4WITyLzn3u69M0FM18NsYGMVEPWbqmRLDmFbj3u3ufKADY2i66IRnjFzeUmNXGJhGqL8ra4cZAbdMgRLsMPsDGG3gFcwwc5SAPHFMR+UlGGHPrH1QSPud18cgL2sY4405RP0zoML6McKpgKFMtbz+bHRiONQnB1vrWbj3CZ3nYrMOUr0frw0oZiiYdH+35vZ34UfuMEw2PfqBD8OntGzwoBFVaSjs0SILzw/rPxlOa/6Z3g8FYYx4LaY9cCdGJRqdOKX0aHHi7GAqJtbK5v50WxuxzG4xnQaBAQOp8IuefPJEQ3iv0MjxqcjvweYqfavA6x8vzEIZa6VQ1j2N7vUkwI8i48Jz9jMPvXsb7hyT9VOTEmsTv4BSDZ51rQWF1L0hsTonOl/XlbMxb7XgU59nYgJWMj1JduwMTKc8rzWV57Qo+/Pk7xv1MDo7qNrgiRXJ6Z1shp8c8z7VLsl0qNGlTrGlpzPH9Tlk3+lqqrPzhJm/IyhV+Cn8X0UKSIrYoZhlPFXqe4OkJXKVxZHIU/eV+xfeGfIRS+Z0NrC/rXdZm+07mOJOi0Hk1439EMWVKo8fD0Mjp1mb8jLPtt+8rpgPNFHrsUdiAcR1GMOM0Fq6X6k/j91CUxSgw9WVn9EBrnKovcxdzhAlzs08619UWdb9HyoJ52/G5R4KpLa7K++U8Fsus0VF7f2LmKrwJAAEAAElEQVTKpza+0bT1F4CqRAAjkekh1k2JcJ5CIUXFlLHHCOFa50xhwv/ox4QZZzC8E8RMKPMTs5y/v5xSL8/77RXOrc+I5if8tKMru1SehzxV37NiD0gy9NL3Ch+4wvH+94QRof64jJXaek+qdWzmYt0b1FYnI3Te37GxckVTdljb8GL1zMz7tcjCPKc0n9x8+r1bv92+bqUCUoAuXu1eDzbPvUztXNoDZkBBctrknZnPIKKjWM/CPUIi0yk/QPD+eTQq27cRZpoAW2UIhW6cGsYdAKTIGNqHF2gzxefIP5wAHo8Dek4lrOMtBE2SiP7FOBgmU+oHutLG58X3GQNLA46P51C8kvdro0gBqoLzMQxuu70XAT6dD3QVHNJxax0fjjO8XAEPX3wMJaw9u+FER8MDLepaEhnl+ngj8oTT2w7w1YsM95f4iHDp9nXZQy95b8MvbjzzrN2Kr4C5JEufBPArbSJSWk1lS1wlxn9PlbObxzwH1SBx8sMlUpNQ3vcoabkLr+b755R+8IrYZ+mbb77Bf/qf/qf4Z//ZfxZ/8Ad/gP/uv/vv8C/9S/9SvP/VX/1VAMCPf/zjp/X4e8//fdKz+2jfnZ4QsTj8qAIDAWskZqo2G/Oy7asyeOe7mrX0a7GGr114Yb0cClqmoxthcnfn67M+CiykMvcrkLIhi0Xo3Q2glN8huA1DqWTlvF1fFOaRf2MyZ9VaPIjFjmHdJC1jD2E7ZdrXsRNm4k6csPbCMr+XjBMz61z/bj0FUzFQ4FhewMqlEAjKK5lJifz2x/fB7pjXaIcI/TJefhTMmnUvDnCNUNNay4FQgrAy1ctPCp3Huxyiel8UoRzYMtA1VdRDjFp4HPr+csVO0+TpwAcYywGJ/VNgetIRU3WZlCZ8R5UdjcimHu6Dt+NKnxrO+IriKyZjrTLKA1l5RGVFMQXr4rHLuDwxysL0AfDQI+3M91jFpxBDxHC6GTsPK6xVKY8r4nutgMvzXuY6Cd5CePQ58LUgTwdRTK/bDW1Tyhf1lBTzxXBmDHocNtSpKPu4LvVWoHxWD5CiCyTDFB9Dacfxdw3vLSzoReZZT+RVUkBRPg4rPvmIUp+XaWP/uqHPKuxr0C2hw6EY07K/fKHK2BV2hxv117PWOq7oxy6Pd8//2GI58srEoQaX4PVlGFVJOCO68uqQkr31C62eyuk9HVvqO2f+5d0LnidwgfeF1irYFhWj3cOCeYQJnuX5DqJmYaeOo+N2dBytp5BSflfsvZ24yYmP7YETpnjVhns70W08j95w2l3bnQ8NfN9ghQ0fc4KbDa/w6lA9HfADKVxvLuuAknEW49bogyeHAd63SmVoL8YY5WK8aVAbfKHIQnPLd7OmtsQMU7ivC9++tnGJK6hfS7rYs1tFzzSh/6URqn8a6aciJz5Ju/s+Aaa9G94AhF+N1rwKi7s9bN7A5/YApe7LnYEW98n7eoHX3uv1Wj0UrzNavdWQgcosvNOOD7hqw/M1Q8JfAN9pTYnuvuegb2n/BZ2oigtf89SU4ZBEt6TUUWnaVfuF90zogPDk0u2CMwNW/HnByXwdQlWgV/mv0uLEf3MydqpXz1jvO8w43BUgRg8aHwrbs0xTNPW9wlwo4HzI3V+MxttjwH0XfmwGp7bXiZzlPjufiPyujjvNFSea06Wov2u61mF91bYLAa4rLKm3Qfs10TjOqyscUpmAPZlzWAFu4aeV/myi1aIk4aCzHVhwp272vF3GfY+K6SnWywIApOxA8mBbvAFTJ7EuCO+dBkgvRrDP8GjdA3XueLp8e72DJ3jKVwhnsv1K+2/pR3oxvl/C3hM+cZsKz3ZVZseLpbGU75fna4KEb1MeWZd24hzN7zfCwLhfFBZ9Yc5Vku1IWbc7B9LNGVrtz7afS2ewzId1Z5+sb+n9O+hY3q+S2kqe/DL+pfkzeY+dK9JZaVn0ZX4UJq/T1U/s9CFjPys5k0TVlSmqzLINYlTVRkQl5wk8QttbW6+3YXzFtFEc94GMqHTKzPZdWrkSSTxc8gxD3BorkacnbDciqzaW3gWP85gesBuYvUlHu73Fd5cvu3b08x75ItRxlzAcDi9nnVee8V9yzCgpjBUuYJR534oXFn7R8mXegHQPnuXVnnmSLvFidGQg0e0Z9LLPNeVh5es2RPGCk943kG2E0fekK9waz7/HRP6U0h9qRSwA/BP/xD8R33/v934vvft7/p6/BwDwv//v//vTOvy95/+FJyeOxiymjexW4+GJIpHfvVTbYyJ5B8glDBtZP7HwDSCUI+GNe8jYIE3jgLWWGRnLOIiZGGWuKaVv7mSR74Idecl5vcKMNDDd7VsZq1U3kKONJ4irEQdx+6hpiZGsNYIR0TQeDx+lRrSD6Wg8HptPEg6kA/1GXq70HDK8URmR2DllWs/dPPv9fqGci7p9Eij0Y6t5jK63OS4XBKUbkSBlZDDzpb5ErHTAmd4U87L7wjso1UX1JeHS85AHrOvhg9F3nnHS4lHHiUQY+w3Da4zq3h4glUP6gHuvi9qNcFIPskr255VO1Xqpb0kA4X1jAnpYNAuShw8a0Bp5wIqgHzpCiQDDe4qZLFdk6RzXVPJSv5xJOee8z8Oj2U2fOj/oGHA098oM2eSLYmXYU5DbaDMMynJwxKFF/C5P7ldJ8/CDmm7Ec5iHrSiAN5l9J08/F3hVAHnDBD4bQ1J475JieF2fAvnUMgwVbzt08zz1crsxOdMoiJA2VSBpJyxMCU2ibOqpbfB+TuvmNEPn2G8IJp33ArzZAufymPkr3Yh94rTnbeTRG+JgyRUYwes5nvO92Wi4PiHmzSugsQZM+mDHQYRbqTeCq5D92fud++zwznRqZknjD6EHwwNWD4ouwHTaSH9sqLDEHxXJY3hEDoWURv2+d+a9LVbngxeC+ifIVtCCxZofKjPsmt370j/QmEpdYiGM22ez6Iw1oTtrrXC0nWg05j6l+pc7eryvulcocH2CsX4xP7oZO7dhdcVBKK+xvzfYc1jR+8BZ4RUMkFGQrRHxTGNKiFia0Mt314qUg4ayNo6/tblH9YSFsHBu5EWiGBwO8zGHDr7Op7aLgd24u0fpUDBkLhOeq4Vza4qP9wdux7BkvrWOUxs+n8Dtw4mPxyM8Y390vOHvOD5FqKk3AB/aeP+38COcKnicDY/HgX62sODWpkOq+bwq6lmYZt7Jl0AtX+Ybad8GTvayEkY0yvVTEtuscupcL5vMdpolOfFl/3/2/t/Xt525C8df4/Xe98kPikgIGpAQlEAK0oEgEiD4ExANSoOQKKiQEAgEBQ0Q0lBR0tCmhSYFkRBIVIiGEloSAfkgyHPPfi/Pt/DM+DVjr/Xe596bm+fmeyyds/dey8sej8fzw+MZi6fe3cl8ow0+KEZ7j7OKyz/mtaQbebvsQHL7YETjODIkcBCj8T65ww6afCB27LuO9Kymh+QITB+Lj33CUmV2HIJ0vPA77vNL+XhhngoAIiEroiz80vT8kDXXdbd9UDv8PtXd6EiXaYdrX8znL3Sj2t9sdDOmD5Q0Fi1jpeiJS1iTjMydu/3uEaNJXya4U7u1H6pzt3G32CEs6na2fK2zm2viscqwt/mMx5bqyAW8VC/GxXYU84cL3DjPVz+c2ktVmezEefMy9o2OekU7iV8SfFp4csBh9kPYje9Tj2AHrPPTxQ6u67Ye5vL/XOB1SbIk4Aq5MPpxlZNNhhCeG9rYOqIueIajJZp12qF9iJDP3Kbj0vGnWOij9hcyU5Ecy2nvg4bEMMXYU8S2piwyl0URB+O8Dw1E9aFrET/uJkc9ItZTEvezjQNpgpHaMwHpyDMH7CnDDqbxT3gkxpVwRLQcdN4B36PirGLVXgDhlp/FIXTGub2/ipDWOZS5n1CyEqVP7BDjxMNogB0YSZ8qC2V75U9Z42zTBZw7OKguf8/jS+2RDR38qXy33Suytpj2go9e8XtyoG29SlxaAVwtc4/oeNeVDqM67nWOz+v6Gr2im9KNPw9yNjtuZmibzSyZMmK/Ra+RUOe3OG7T3Pk89eKEBskJ02PbUxBXZAnGurX9j7QmzFgUa3Daj9YuKFvlUyzKlFKSB0IB7Touf134MGVai8xVirPwjHC+PiXgSra1Sj5Q3Cw1s9FQXGnj9OT3vR59XkXl9K3jQGc7Og7710RH2uBzHOI9n8eQPSnDmuDZGp5nw9HmhLu92C1T0qOd+JHl7efnHYJP52NE2pp9ep4NvRsvdZlKtpOcOSVxXCWn+V9ynvKeBesoyPU+EiXqvG/KK1tHH3ZczvbIx4zYX2D/AhBtxyEASmP8ubCvwNB7wk2V9/77wJfm77krswXDptyhZBHgF+9/AsrveUfsXfmTf/JPAgD+x//4H/iN3/gN/IE/8AeWOud54r/+1/8KAPgTf+JPfK/w3ZV54oAeJiclMB2JReFwJ6I7Aatj8hsQaDpJvyt1Ee6qiOcmXyu8zD1e63ckY6l+f9deCMyX1rx/gGWxXzHL3R23V6m4lj7uyhWoHxlChfVSgXsBR1Vaqf8kCGp9Vmrr84v+tkYev6OfvBHPzsRL2GkML4vrnARzGMv+uxv77IQtivqy4VqVwB1shJ9QxDsiqkuB1TlvGgFv1KaycQ57SUZIgR9qhxQUyZD1Ow/TaXMeBisrphgsGxSvCjsUhJCyHcSmf/67Vq905pPd1e7lmZqWO3V9MisfqY6c6NOcU1t6E7VN7AJg/VkG4fSQ1hPVn5tjur7/tgrKrr/yWDS9ztFi/qI4QJJSe8OLmO9crh3MuQ/2J6SccvuMa73gIXe8ovKICq/S5zEvE56YK2sj5jR5Oon+/D2DkPgTacC86cAwAGNNpU1f3eDcHCRNoe4stH62QU6CacQV5TtwUcVRpfUSUSo8J45rGnR1CBfw9883dZa/Kx9kfrxtR2Z9WZut7Qswnew+Kjpx7RsVQSvOax2OnYxMvOwDAk4BRNTp5rWnTO/O5K3pZefBeTM1u0E6p5R61wPvelhUbMOn/sB7P3B2S1mlM0ok+rX7eIXoXNI/TeP4CApmZcw5/hw+eWM4x8bk92AULrrXi7Fv08MSrxwPPgcATLz5vyCRD9wvBHxcJ/hStmXwqip86Rmwp9f66IKP7uj4Ltp1OZz0yg7aFebHH6GPjbxbqtSDtpvyuTapfxPZmr4NLbOc263lF6Axa77lgTfvktz9QJ9RZzd25iv8+53s3gJ185x4d8BNetXy6ZYurrtecHEHbx0vq1buyHGdmP6eduXoKOkempuegGHWpTG47BEMJ5+g9OkHjhrZdgxzGTv3kcbp+o6PsX5b61J7243sj5Yyv7XrpGfzywovt+WT/BnrN23Ue1veYVdA7DAb07uziAacTzeMR4cREUv9RyrRjhm9FvSyWeRV0X6F26r+KT5+t17FFesAWp6/amq3TmtfLwoPfdkjQkHVzTxXp2w4UB1G//bq4BDX/QxZkKau6nSfybP2FekOVJbrOznzkseNRZQOo9zx3GKfpCjAVwyA16b/vWs3vdsQQPnmbq8x6R7ludNCLYn+LmzZZFc6fLHnVOAL5xkt0h1hB78ndY95hkfP78ar2A8GWGU2mNe7sLUxmZPP7Tbd8SZvyvcbBHH1jZS6TRTH8JKjyciq9BYXqAOHnHjvx2Jrxt8qL8e6A49tyvr8G9so1FZq5yNyr8i51OaVbMZGNBRdYlfvo7baAgf2+Plsuf6RssPdZ8js77v8nnfE/sf/+B/j9z/6R/9oeveX/tJfit//7b/9t/hrf+2vLd//+3//7/F//s//AQD85b/8l3+HoPy8Ik9AnuZMOf3OLxn/ukYqoyT8gHmSf3d/59VikFE/nUQDUsQQp4yqEWzRDC/ciOCR2Za1M05kbOCmyLzUZiiac1wclbs4mjfj9c2JYAhm5LSFyd4o4GKwc/qlcu9rRCUDS/QvO2OjDivlwnjSaM83XhO+dwqTXr9Pjq+qn+ycYg6P/zvojp+IukY45OCwu54kiMgsH3sIa5l9pXuMtsKSnrNSXN+VKDsFEs26YR7De2YlSDk1qI/HhZudDo29K4oSHaepFO3dYGNDOn7SwJrM4GRvx9IYeyQyz7UFEU9c9dGn04oIxmk1mak2IspUx12O6uumYUTSKeYzat9Pa/t9RTttY0mBJDqVUVYuvTBtOK59/FxnNjc3KTzCnPXN4D86FMtsv84INJ8LokFlrVnGKc+Z2lgSTAOXTDBEy+eYDJ9fPZBO1SfnJyvj3h7f86MSJ1K1E95ps4TpPYxux5VFHWtD3DXIjnZ9aHLyNbuLth8jGlFo0JcbLYwYXlOOZx9LjMn6et+0Q0NW8ZS888RtpEZriKjLaJPndrmLpcBP8zXpz9aW0VEEu5GD2KPnY30ZHS2bDIQTdv54W57RIB0UOgetnG+bO9QOb8jGYtHgy5w4L1IgpRQmeNqngUtvd5z2lMA9RNHfrP1DjX8AwRiqLG0YOdQYBRFBY4Cd8y5l5/uekU3eS8Q3LyvH/ZNPImPSOzB1ibdxj22cSCY6CNYtxHfLMCIKvsi/utmyLc4PeOfOvmHZwVEtMf9chGCM1HIGRBsVmt0ZzRuITg+Rhtg36ZjHKBCHRIAU0S4d2Wke9DRwqU+BfmqjrceYFLXoAz3F0rErTh081e/+eTzOWLMeEdt1RLJ2feDt6PiZt0/4qeNpxvQwrH/Unvi6P/A/P/0sugredThi/+fXP4Ovzwd+/Hzg/Ryno/t5RLpiKNC+FrRP45+8D57W3p3ONUfWEe9Mc0Ey3mVArEMgb7TRXPNhgiANjmZnWUUlImMp+i3q0EEqAWbkLfPUizLgtLVtFdOhhCbzlLfoJv2YyZJOeKs0G/VlGVfIPR1txJqwsQ54LgbgcyNAnOuvB3P82d3a/FJm4XTENYrZS01hS3QQzZguuuivQGycbqNevcmqJ2Dyal6HS5amVmg/NYpMFwTDZQSBkyfbBhxRxbL8jsaSrDAlwhWIcvCD4Zq6a+6Tr7lJ+6hC9mPYohKwF3Amv6G/k45kMiht/O7GtdPrip4zYcy8cLFbRWIvISJf/bCZX8OA+U3VYZLzzOWqIkUhBex12oWeE624zcrf9SN/k/hmbbe847pC4+S6yuM2una8NN9rcblyzmfOi5fD81UeOMxV7hRd1e1F112aCTfRkY2lm+ox7k7XdKd8chTU9SeUzlawl3010jrJHsLhZly7vQq/Uzd0VqcLqlv3AbiTJSLS8Wc6jP+eBHJGp81ReWG2c2SN6wK4/eNZ0xxudwzIxGGXejknoo6yXu52pEXReTYl1v2YPhcHU/3b8cJrwGRH2I073sHzV57XtjPyNqXqQcRPlqrM76L/K+KjfhWDriEZJzt+GP8k/a1ibbjxyrIWBT9OnoLIwMP97Zw7FY7YE5JcZ8koxTjb8E7HizAMlB3DaXnsFYwMJxWgOHgfmdkmrXnmuKlP+CDTkAcves+LXmnhL3Z2wUdem6WwTmPMQ3ged58p8VjeU/EmmFZYP4j15s9LJhjuknUZoXYZRoItAjrYXrc+wfLSZGngBiCbUKDOe5KQBuRTm9m+QO0BSR4r9aGN9gi8Px39jcM9tCiFnKkqOE8E4KqUJlh0JpCUET3bzJ58HONu2CYa0bAP6fhpuyv2R+09rrR59oYTDe8mzDsET4uQVWBco9MxI2914DauAMAcEztec1ZDnT4Lr8tzg9zO5xRRLIeB0jquc1T4scsjlOq+b8Dtst658BuWAa4Lpo2a/H006/ZjTXFMAC2+GYcBfg9z+Yx0Y+5vuWaSwdux/yQDP3NifgfKNzl/+hNT9AUCv/76a/z9v//3AQA/+7M/i7/4F/9iev/H/tgfw5/9s38WAPArv/IreH9fd4f/yT/5JwCAP/JH/gh+8Rd/8bsA+1uXEOy7VL5twwGuBNiu7Y3h+FnlVV8XCxLYKBGvSiymFeBtbvILhSaVq5OmN3BHc8UonsoqOcWr8l43HliBuihS4b6C8a4UZSyE63Zc/PsdYCtMVxvY7ADyX9Iz3zBmnL2gi8vNchrbbh7qs92GKreVjMRCIyywp7DGtRO2ziO16wJs2Xxa2snvav+XCr6l3GBhLe5wrXW9bXM6pHFWFEX/A1nu1Lx1Zkj+95KU79YmtZk2FGMgpSmmuQ2Qd+tt8GEsY3WFPCl2CS8EN4+D8dB0KLqUxhlCv28GkuZ+eZ/fbXkS6zMveAEbEalwm5zKhb8LXPkpTAn4U1T2xZoPvDAoF/Bu0yjWf3SI6LNTFF7gevn7SsG198GDW67j49h+V5t8gbexhil9d11D1n9KN+RpjfgOGKF3h0YKW6fb+Q0Snj1qFuHkvREQINgqn/WxXNB6Ehm8zipqNP3Yluijl393PJ/XEcrzhTac/tf3spmvlGXB+Umf/7YoLTyZaejSaOT6nhI5KQPz73nCeQAtYvfBth73wqaIWB0RrR79eupIGeUnlZ/9wG+fb/jt8w3PfuCpw6D++vnA+3nEaWqNwzI2Rue3Z8bTIiuKrL8rH6mzzukktkXPuuhjm4ppo1PdyzvBR3jX1pkQckHu9byXjfM4ZjvJ6P0WzY8+vuX3X8rnlZ3OsZnDrS1WHUfAC4b7DWDblI/Q8TdJRwxg6u7fAR3uNrAY7iueMSvgFpYP8a9L2F6/r/pxtuM+2O6OH12937V5JcM+Uu+qsO0gZVy7Pq70cmR81DYWvaHPNRNrR7GmRtzp1qB2btSrWnc62XSmaya75RvT+QaAS9lzAa8uv+A1ni/hIbWl/isgb0nuFR4+Ql+sV8U8uv6G8tN0L/7X6z/kKNhObRd4L+mBdOqtXSeEMx7rB8ZbeQOj4dIe37WtF/29pPGqs+7bSM5IJRA+QvvM78R5+AW8V21WXQ+fx7sZb9t1UJ67PZDG7T+10NAFzq5ws/C7EBRYcFWdtWmfjuzHz5KDDNuOt9D73V7vxInMOjSuyz23K7iocL0tjaksfDfZbiXTj9v0/G6OQ+a/Pg5nLLZdtIGIih2HOEp7G/g/WtTtW7YBezO7ETmrkf9rw8BtdpfsITocsBsA3CnbRPHWThzoSz23LSMSN+DK/OHKfv4wHj6An89OL3wl4z/Y39rwxXqqfIdR85E1GHVly8P3fX5T5QK3dsm3smG/5/ITExH7v/7X/8J5zlCW3ofl9v/+3//Db/7mb8bzn/qpn8Lv+32/DwDw67/+6/jH//gf45d+6Zfw5//8n8cf/sN/GADw/v6OX//1X8ff+3t/D//pP/0nAMA//If/ED/3cz+39PtP/+k/xS/+4i/iP//n/4y/+lf/Kv7Fv/gX+EN/6A/hf/7P/4l/8A/+Af7Nv/k3AIB/9s/+GY5jF0r6/ZfCs/O7EmWaTmvsiiCfNO7GLM8cmep1uK1dBOqufcCigABySNh9rzIq7SISQjgA6F95VB8x8up01gsYCiyp3iYSFhh4vXbEyfx9o2mFsD41okWXvm2MI2IOMakL87hgjAFfURC2SjS3Rcw0KRek/ChGkJNu6kIVnSIzVQF99xSWJZrLx1bgCufVjZWuYoFWHj3EUcKaccbplCIKWkmxIwe/n+yJroIOJnxRZ3cKrOKdT6Kx4tQRETi2700b57NPUSSDhLJqmDBTwlkmSE8nxbB3vwPX15D3Y1FPclrUGOZY2lODD8RJ8D5hZrz7Rjff9eTE0SNKcCqKc5wUfSs6Tw0/5z3JHBkfOBWfO48aSiiY0YIwPkRKLCvzKuO9POkZME4Ok7EQd7I67dDcpEJ0LIKIRkyweVW7P9bvkx1zLCPy0CN6fL4E01nFuIvFC4w7PkEE7nOmEY3o9L+c7rP6jm8xvIk/c3qrc0LZFLQhNou2xnmMG/PuTefngRQNeoiI3XJCXk4Mw6Di3ugQIPhMoY/UPUE3E03tnO8qfH5fMnQ6cmLd+qsD048Qhg4mXWoJDk18QjKe/HsYfBz96ryT6jcb73konUAm5ixYUvaOxU398Su/O0oQJ1o9Ejbo8NHHva9qQLrTNeCX6XR1g64WUUBkRG3C2o0I4YIT+oT5dIpYYfwJ8SuVtInoTmBVmqvC+x3vqU2lOfcl5/i2Z+0p8x3JY6hEpHdEyGumoRif8eK4Ywhjndd2g1afxOslwy4b3lPlU3saPTvP3kQY+F3BEUWZIksEeCi0dVsDg9nLo8f9ZSH7ZJx8fjtOHDWtCACR4aB9a31EyGrDj83h+n9lGNTPfuCTTa7fIfTsDacK3p8H3s8Dz2eDng363iC/3dKhl8hI8Rxjl672k+aC5ri31YHNstpY3sSpy03maZi/u9PRaTx0FOR1nfoz/dZ15Z282+m3wnOtsLu/Wf7uTySPaeR7sWalKz1Uk2N10visp0n38r58PE7wcZK89CO777d8xX7eRUp8KWvxY+bLVS32OhilVeMozCQ7SQ6khjZdXkUwdcwo88qHL+rXvlLGox0d6KCpSAf8orhNWk/cBx/ctu+/a/7JcGK9dqee6F+uFbDMVmOcG1mpgBSg/A7fFU6aV+7joqQ1TWpG4p08vt28S62TYQvbh6s5jfm70IkzzIM3jq/7QzINJH6UxxAyXrHXX2spcji1S3PP7XCGn4S7Ui/sYG+Lna+uH5AdKbVuaTPtWeh+vezswtDNvQ37o2OQYOg/j5W0Q6BVGaOS+Tjj3WXk1V6N60yFVry/kItVt7VKyd4omcJStgn/JsEoWUcoXexghdm2Uvjc1AFnpivHf+DGsy29A2AeJRL3YS6lykbFyDqjMg+kFXwBmPYC67k8OKKHwBPTiouNOz6606FAOGf6909arpsi22k/ItrfjV8xs9q4vc/jQY52TXRv7SxnxFxnY/qggWmzvQOz3fph0fnqvM3Whdshha5EMbMHcfH52/DgsEmpDX8+bLkBh++93e796ly+3lbsV7FeFTJf8rfu1Cs4UcuolRyvFzxW3UZ1Wx1l3D6+YwDqexUJjsJrOTqx6udxULXy55P41UK0e/mG3Rz5GBJt0brDfB5w8Joo+20pUIeyWCxwENjhkCXexnMlcUjAHvAelMPnsvFBA9zx/l3xxecp1Gmc3fYse+z/HckJCwDt6Abn6NBtycfRcdgGi9/7epjj9dFOvMn456WrhH353g88e8P7eYxsSs9jpHwPGpGQWXwQCkUmX+qmGz4X/FNmO4y30BO8beIzjBKWo7EP7DwN85vY06wwEh3FrRje324tsQy6Yfaitt6dJ/m4qpuMN3N2vHRpd5U9/K3r0BxxG/UqTfJ6kfw8mv4JcNj+xDhi/9Sf+lP47//9vy/Pf/mXfxm//Mu/HH//0i/9Ev7Vv/pXAABVxa/92q/h137t1wAAP/3TP42f/dmfxW/91m9FdGtrDX/37/5d/J2/83e2/f6ZP/Nn8C//5b/E3/ybfxO/+qu/il/91V/Fz/3cz+G3fuu3IuL2H/2jf4S/8lf+ync53G9fPAUxleXEwk4IXiyA2AxXovvqeK0CYLOQr9oOQ8wrnUKO2LUvf+aLy1O2tXeMTZxN5C87ee+KkMG8c8LuxpeMaFZuy2djg1SizdioL3fDLnfh3vCCCa9MIW/wx8YWy8tKB/6eFasd3AYnb7CxUrEo2X00yo4cbz/aK0oR958cXoweVv67K5Q2V6yJmoCbH2LSC+GJN8uVlQ7CiSvjc3AIgZjGIgAoRem1MoJkLANZyF2lcUg4qnPYCTdS1qoORyg7MxflMWjd6vjcuFPrK40dZ7F6i/HQQcaNwz5hCiWeFWCfa3eOgDa9PaUnMq2I2rwbnOr49jrBG5QOkuTI22mcWEomc7IuKX0UydHvjuZFgBeFwOsrEE6eZHASnfkYAEyD+AGodAhNVDhhKU2W0oZ+Msg6kmMRLbMGgOZqR6uG+ua4dPouvKQqoLFsquJT2/fT2YKNdjjXY2z0FKOU6Sd1zmAavuLOJEvBrDbvQZMK6CmhMDp/EB3pczyFqB7Ey/xb77oRvRQcJAN5t8YveHLwKZl1mOcEHrb817o7yrMNT2UjzWmnWTrk4IuH0Z+XBsihA7d+2OoxmIN6hGRTSPMDAI7oMtCm2Uksm591bDr4hO/cTZlQHGa8iaMzIryKivHt7M/xPtPjS4DPtMjGlPb8XgXzPm5zRocdmHjhZiJKHyKINNF66NiAmqwxrY3gaxO0oMmK4pC1J33jvMjp3A6IuByY+BU79DHmOhy4mBuPYmmjegf0ORayyPx3tOGodWeqqoQT1g3troJP5wPPwgCeeqBB8WgnugrO3sY/FZxns9RSApyWivj0tJeUleDEiCTyKFkiz0ErGg4CtxfXjZ5RJ9YWyb6tcc6ZLjRI2P9c+aS35XJTNNL6Vj0zbd5wl16vNnqnC9cx3zm06Js7IzqqKbKOXttUQFD0+Nru5pv0nOXDHcxfymXJm5Qj9eDUl4mBmoyoKduAwps+GGG62D/1/Y2T5puUV2mK071XRpsvS9DfdV12jm3THt98t938rX3XZ1e8peqmWNtPjrxb4F68v4J7N6aF19ojnXrcZRvxM/OR0MvuCvHTWzx79eL0Y54edZhXc5ub9quTMtrjn2UjGEX/SG3x5meVOQRXVUXCfin6zIi+lXSQ7a4kZwj1neStwbbIG8aTTJgW3LHCwzLY6bmVOhuYhw1JHcj8LtkbW2Xqvizrp9JpKWnPxh2yPmdNx/U7236sUuxllLsdVQr8Op8pgaP5J8/zTk9JZzmKDlrX6x0fqWKc91r4fcyx93vRZqXrcDIxHop+xDzGB7HgxZuh3wM/YjKC7/sutHkHs/ez6msvxoX8jHl+BN34od6G+4ko3zNM4TuR63r79aszU5KAYLuavPlT+ZAvAKl03DcCriKjvF51+f03wVcB7IJrrgRFpaf0kJ9VEIkPqmzqKv2T+d2lqlH47eDj5HCtjkB7P2i1CjKre2TaZ38a89cIFEiEY02R3e+pih1XansRwfvMFm/l8C7bkwBSpGvDSFHMEbCnCesT40obAGF7dhX03mYaZGI6i/z1f3QA6rOK8wIpJOEyTix1c+UTG/qpvDX4c1mji7pUyZZ4bdAK1V1tMGZA01+y7G1R3UvdWZD17FIGLHJD5GUc8LEI6lWPs81Nf5WOfwLKT4wj9puUn//5n8c//+f/HP/hP/wH/Jf/8l/wm7/5m/jf//t/42d+5mfwx//4H8ef+3N/Dn/jb/wN/PzP//xtO3/9r/91/MIv/AJ+5Vd+Bf/u3/07/MZv/Ab+4B/8g/jTf/pP42/9rb+Fv/AX/sL3NKKPFQEQ98Ha74tj0ogeQCY6wfY+nvjmMIF+ZCLmO2J3UY6pVLo3Z1q01e33woAWg57aTvdUVQW3MLHdnUbR/m690iJOjrNy6jsWtCA5wXkzTxSAR8I+GjFPnXcDHiTsi27BGwZKijbD98pwrApjFBLq8YiUkGDu9B1vavu3EUEZ0Q3UpAmeFEkn8/t6f0UoChV+ZBqI9IyVdn1KfNN1qyjQmP15pd0qCJXGjLVObGA+8zf1FDMLdm/vLnJ8pbk556vDSgsdIinHoh4FqHEXTVZ8DaaIUp3NhjLCUXegb0g5dCfLvGOH6NRgjnlnRdThyF0EfhWYd6gQXS4bHcjfJ2qqvMHv7JNNXQw49RHV83uH3+nHcQSCkemKnNqxtsQiDw1gOQV8X/LcRCgDbMgKs9pU2xy5g7k/Jh2MuUFq1x0oQKFDWevuNufjrll/rJinpDcb+TFf3e+R1vhOugC0Try+j29xPinS6eRxQlvmIgGGAyPG54ohJt3VdszJl/o6Ji6bAB3DwdfeLS6ZYW2Eq6LYLvLX+g/d377tbwPu/gacX2Ea0Q3jEAEdNBg8RzJfMHjbOw+MStCqZJ60KyxbFdOQKoa1eCSs1ZW423hZNTOS1gVJ0IOOaBZbB+zErDDFHMkYY+jWvXyiE4QrWRHDK7I1La+rCC3xOan3SRUHsRudvhmiWNCS7i8r7xaemBZdflRFV3rodFLGI3ZiemzAeoYLmX278Q6ZG8CnAF83+D3FKjpw+OhQ2rT11E/P80DvDW+PE7B7fdj52jCMZlXFb3czmDEiXzkFVaMRHq3PcRs8fB+a36Gboos64WDhK5KfbdaFsuxk/g9a7xfrie9/5bW/5ZGp0w3/RqZlhiNtfNtBI7/ze1T3CsYT7c7WOs55CG9zUFCx1U9SsbCZl86NQrwpGpfX666dq+dfyn1RhZyDf+74vx6Cy2tUfNqZjzDfYt56F0kadLxXwC4dsJu68fjmgPDIbCErXNRf2KbGB1JE4wYGvlIk2Yshk3R9xrB5UwRXOgwCRDRs2E01ymAjM+7WhJrAi1vbZIqlLZxXbXg3tgaTLlPaueIBydFW/1Ya2qWOknlQfZ4iRSrsuzarPuQAyBzXsodA7/zv5MjzdqTggVkqyf/kdHX59bSraZarTWideHt20JXrCe0PBZg7fcJxAMJ7tIF5qFfFeAg9C92XdAdqE6B26BqcbWF5VmHUTT2nPcapEPo3fEwUU6e9IPpwZHC3LK8u6K56EuWUpA5fOp/pZ8j0YXjk/RGvI0N3HvojLUqawBlt5fob3dnLNpw3vTlgk36nNRKHVHFddgco/CejMulOQu83873b12KniQL5QLTTdIV9M7wELsHKfIltZ1h//TFwF1OhZipd7TWSDrn4Azd4TzzFeVGhaZWRFYCz0SW6D36lmR853+ql3oZvix/GpW8rTuOA+6GUAelCIIgua7OujZE1SMKJOyI5x8Hg5S7T9KHDbH3S+qw8epGrwJ6PV6QUOryEgf+uuoLTLrC/JNLXAjkCg75JAahsLO2PGSMN+5p5otvvvk9S91uAaT9YIEzsn5WxCmTsMwriGhs9ZfYTB7Zl7tsooB3oaGMPABp3wXIK46PYjX6lTYOiQ/CuDU0PoANf44FnP8Zzu9Lmtz79FH58vuG3n2/4dI7I2H429FOgTxlBYZ8E7TmyhLX3QV/yNJnVSZb6eGP+ZcWH13FdsvJ437Oo11sQXwh9o8wHF74vFUDOJFDruq5xsSx3+lLmR5rhcN+QYtHZk77ttCjz+aw422KYKn/i32tA21IKQw8/Uy2Ei5+E8hPjiP1v/+2/ffY3v//3/3787b/9t7+T/n/hF34B//pf/+vvpK3vsyRHGRV3proCXB2r42P6qb74fcPclUiBG581ErU6Tj9iRG8VlM2CqOn22tMZgazMz/XfjTBjZqhtppPbldB3rxywEYE0Fe7tXbT+60bIM+y7e4Ych/0Yc8DRFcsp2KTIuZTOcIQOwcrqCtaMWHTGVRQup5926qSnBzHsi1PxEZHnuKjKl2g2coE5MFFTdCUMwppqiDcgG6dBrWPLzWamT/jJH85/yuOZoC8bpe2JxQm7PUDAfbngdZnBsBB9+AmqGE9DrMnkfGBB7hGCx4h2CDvCDbWG6Vzt6/gm7HZ6ranxFQnDWmJsMomsY0R81tNtntaT8eHjZMeE08winYviUIm5tun4BFb+4MuYl01T4MBwSlw5zMvGCNOcUJth0PPmjWCme+kYSrDfp8lF5zfjO49WIXxaylb5enTY3+zeTZ3OiJRG1eBTrGsW/kxlRhBvlCxvzx2EAOGCNzjKPATNusbhzkRKk70sQFo3sWQuePecW3OWdkQ6Him4dFpLzhk6cNAbIMe4f7I3jMg/uncyyRtfd9WIYf7pzyqsZjT3t+mEjdTiNu7+GPVGutFhDLUnUvH7XJXH64BQNgVhXGzwqHXegLkmm849Hyn0qoBChnPW14M7XBXAofZOoL4ZpzbAgx3he96QHANK64rGunPaN9tk70fGQT2s4mNYeLKDUdoeNKzD6acFDofPcKK+tplGqi5E8iXWTmykEZ3KRFvwXcLVbizbDShvF7LADsDoUqazzt8/Be3d5MCb3V+NYRyHjDKHbO+C59nGoWtr+DhOvB3nPJmsw+kKAGdv8ff72XBYOioa3mjDHLSqgJ4N7es2DGbTDdq7/fRnnfBsh3rudNCU5giYspXK5SZbeRa0AeBs2OqnsXdr9J3oCGX+hOot6Ycn7JEuinVHkINts8yt0ljHpv8KyEHUkDfSuW8ax6KXMm62ndJ7UB2m5av2cPHuS7ksw+Gj6RAvUOaM5NeVzrRtW3UcsPF0wxen31O6Pd6supDtV2X5TjA3gZIBdNUAvXcZpAQTkHTtGOOG53PZHqq4iQDeOWGTvuA2I8so1mV47KWLZS26M7bKjG9Qwklc9B1+9zmlOoaV5ibaJn6ZnaeaZWi9puFFv1v5z2PjfgtYdezMsy/xUMnT6ImjX1tsApMsiZ/G6wOw+Y+dtYzD7UF3htd/d/2FHACprtvgD3rl46mH3kzW1CtxBgyz4aSz7orPb5GPbJ+nA+FVPhTZFzrqbvH6Qb+6xrZwlf64FBkZNhLhNDIxUfeTBw2dO/abHG5KeTzXm+aG7L2KrXemGz80V/r039NGOD0Pemplqez40q68WpKuc9e1CMKjOzG4rUoTN2UeFnc5Yf322YcyzVj7UU/q38MObn4Q4QDA19o4fITXaissNuoOB8x0pMyRzwnpiEsKbmxkuX9PMKXCtESBOOlbwlXYoYfOg7scfc4/vQ6AsBUr3p9zTOMzjcMmesqKR4LJ9zLcDosx0sFdZjnC8FVZe1Wu+Lquc7/bK/Tn2gtaWeYUns77hNvIXe6XuoogFcJz4OVqbA5zMMzx1apT2CeGyLHGZO57NQG+6mOcTVPAo6oMXfRARL0+LFsSO2Pj3J51Pg7qdpwqePYj7MLfPt/w2+fYROna8NSG//v+I3x9PoYT9myWTUkimxLO7ISNvR673qadmuYh5kI282a4S3UMHUnc8LwmXA75w2I9zQn1E1ksQLrlZjKDL16t9Srj7mQe8SHdAkkw8DwTw2a7YKuHimxlUOr/JaPHtAHK84XPrH987+UnxhH7pXyD0gapXZ7K2RQVIQGIZdEtCvorgve6V05YF4wde0VANr8zsyoLLzGd0ke0sRuPFhjDuapJARtC3QWUMQsY49hFybDwpp9sNIAYp0vRZQz1Tx2whTFodaownYz7mgg2vqyl7ByNO7hCEZfyTBBKfjvJDi7wz49gqLjh+iozbeoisMrzqoxVmFmxwVRowjjjby7oXuqc85jKMC43OErbC95100/UWe96i4gebo9oPW2+1hNa3rw7QZCV2u0Y2KFTxuXKb8CsmA4ur8PKaF3f/rcrLU5nKgsNx1z3EVG37pYjzU1VmrLBWj6vOK4HBahttb8XI7CMBQL4fbJpc0ZGZFniyQU+AMbrc51xq5hvfGr+xozllIqbYJ+GObVn7cQGG1ZajI0oHkNRKpX6CqV8I2tS4Y20AmuuN/tSTAArnHFPcWlPgXRq2pVkJ4K5SUS486YPc3CIzo2Jnod1yWIFYRz7qVLPkNAf5nA13hrjKDw28I5ZRwTDmW0Gat2c9B+LLG+WFdwPYrjDkBtweEQh5sz09EFCRvQA1e64E+dRhZHUubcIWQXG6VnfoEo4m/B7k9Ccfhw0X1UPILbGzSX6Rxlu1jWwygYQDzLaZtpjGhbF3MDY8Mtbva2sqeAjPJeFRmpJGw9VBtO7uWaoj5Mrl3YFdjBA5qlnb0oa+nlA+7g3trWZZvfZZ2yrAOZQHQ7Zd0873D2a1h25iqPl1MbP3kbUrZ2M9/uOY82/0hkwcbikLN3wJ6a/S7nO+oVHrJC8E0XagAAtjcUJRv0O2GjOSV+Q2t6GTjk93kt9fvmegclj/IhOyYdAtsY+bv5+9Tz6ePH+S9kXOlA7ZLnQ72Pul6sZLko46V8V5kHMd69sQ+Tn8/Cbfdwlf6fImy8KyiZR6JnhuSn+fY0YG2upEF9Nj3ZBm8vGL5eUGvoDML547/zllY5bdY3aRqq3gfsu5dwCjzUj58h20JskJ8+lzbiT5UsH2O5FLGOQzFeTnMWK1lBlNqps0kU2/Fx3cDMvZ3lucnmXseCykEyY/ay0yFcc7WRFtc/Hfd1TpsqJmVkJAE5d52snay7kDtOkz0WVK/E3JK1tLXUXvPoQaxQhj7FkcMoThchmIqybxjjt2c6ZfFec3vxvOtjJfU+gacGA1o87/sIbVb8FOWEHokMHOXLaaS3f+Z8LCTFeK9gVt75AytpYxuh/GmxS5v3yexhvLnoRgHTIcFaG8YZ8P2bsLzTM+1o3a2FlCAU2t7c7wdUwDibGtVrrGJaxXeBoKwvMnuyHzHthORq2EGRdI7w3tIWpwlP5htnsfgXQgMeIyh2xBmdqzNZNHM4NgNbxpYfu6JNxKD2U8iKwJj8uTkPaBJoZzGTPa+/k6o6nE25fqhWap8adsd52TAnz0tJXirvRGMqH9IVFbt1V9zoeUFN5tK4NukPW6V2hgO1RdLQx7wSrpywGkNIQj6QgMzOSiIbDddz9euBTf+AJxbs2HPKG937gUx+nW5roiH61juJqm7NBT4E+G+TZRlAAZVEKeWcHou7svu1eaZ3buu5ZFqdn1JY7WYs83PUd7bED80Kf2+5hW51bvdQyHXnbiSV+RO5xU3x1TwKCidor1zrl+ef0/YLH/m6WL47YH2hZjKU+iXhhyKWuR7X63Vnz+ax7lXN7Vr5/nja4/BmlRmDF2k8Lpyi+EpmQmBt80xfBhOJvr2PRMP6tuHFDG1i+me6XTqON9ApzjUvuj0qE5dPJ1GFISkSyyqmUkm7gwaNJJQ9ozomdvvH7V9GGouWb24n5+q9uNPh39XTMTpGkUp11rKRNQ2m2mSKmqZ5Y1FaDRKokv3uxOm9DyHWEcceReAMXE56A1ZRcNqCrcy9omhwfvGHD62OXkmdRWNuKvsURQOS3d2Ay3ekyJ3L6WshwDUV7PG81dWcoAYOundZ4A56jlv2Ecxq/1U2OYFY0d3V1M5eOL0x6XCKYuVQF2dt3xd4NI5mOFwVGFCghSk6BqGSe5/A3XZQQhz3udFxOKc5n6s/LyU0Vg4M3w309+ntWoB7jYXtmRcnHiYbhmGLciJ2G9hMNEYkhcZfj4KPjedqQ9DSxzfRnRUSHJh3EFWubo/5AMm63hwN8TL7mvR4p5J72VM04xDmJfeJ7Ou64zdHveN454t6bcNx2xOl7FefvBgPNhXUViqY2+lapPa/o6D4Md0bDEvwNsQnS3hXtia1TO+DS2a/jVx+S/u5vtk7bjN5Ma0wxT6FTH76mj08kTXxuKAU0NH8HAfpDR/StOWDV0wcHwBgbNkeHtOGIDdIlAap9MseF79lku5NVSYOXh707x8DGUm+Jx8TYjSZSlgG/x/lB9ejnoL2CA3/vdMR8j+Vqqc9p+BLv9Y0Hp3/BhNHW1OEbP23OiZekb236rHW1aZzcnThG3OUT0+swdopCsU1FH4c8Vz7u37LxvV33zTpuQJMGPYmGuozl3hTtbURJPx4nWu94aoPqA611fPU4oQBOc8R+/f6I6FgAOM+G5/OAiOJHXz3RRPHpedD9Phgnme0Ec/x8WsQ4R8L62MjIdl1JlOaB5z74mx13oTWX5olxSPShx0xnPr6he77t2zDieZ6lPphyEQCabxoJQmec/UtqQ5ugY2TQkCetBcwxJPllqcUi642PJTo3mblL8WpjXJ75WNOL5fNkkyz1NvW3Y/hSPru4EzbpJRxZ6TRAqcgW2/Kb4L98t3OezQgfMRutrGnnzZsDshzJqseU3Tym3Nn1u5TtSSetJ7q7cMLyWtlGxV7Rts9B5QcX5e6+3YAFxHMq79+N/zPnVk14LOux6Fmum4U+JXYfJmVZYttzoTkaxG6DMo2PdzJpjMleczknBKogyfyaetl1/KrzJVu1tIFat9C//4sInLvCegw2cICf6/zGfxaYr6LlBjyWuMcj1EJvkdG2rzFqe5G91CfTYTwocMVr/oaQG3LCp5X0Fv/bwWNaCtpsM30vH5ZKtOZ1oJG5B5UOEsEU/FXaTPzCYOY2gtci7KohFzfzB2QnbBBzXsjDCTjamAdkbZ+rY56YN1zEXrvSFOOibA5EBnxE82G7V57Pa4iK7w0l3XOXmcHXa2Wpihm1be/ZGTKijJFwNiKEs5N2tidJteHDbQ5XPwYPU7NLXL8TOtBb96nC+XGz1rXQRfppe4P6sExK1lcc+HU60jJ+Tzf7pitfUpnXzICf+7dT5qofHvaDvLFuMPczDAg5hnPNU9JCYH8PeMYdozSRgpkpTH3QGvuFvH8z5URGZg0qSq95HfeZ2Sjo1H9u5sb3lhwu33/gTx1lfL4zSEslyycdwStut6tgplXnOXCwSorh0G0alnUi5Y80vp2c9te+Nt0h2BDZhJi/5kNq2dbl/RgFxj6vjsAD+aqjHToOLnhqZAK2CfA4znGdDTwC1h20A9Bnb/h/z6/im16UgYf0uOrmaYd8wxH73oD3hvZjiYO87Zw2pDxH9szknPV1oqD5Q6xlYLOWWa+9oCf+ZsprmXLyQseJb0jXrfrwAlftKzWUxd/akXlCSKbeBuAVHWPg7YbZLf2Vn8Beh6b2Fxh+IOWLI/aHXO6MLwCuYF8uFsxFe1fn1oD9aBu1rVLCmVqr35201VknNhBAi90FfjEKLks1pi8Y59L3rtxFqLKTuDZ7N18Mz655oX53hg5IaUFRdK8Uwqt+do8VFt2ENfJPCzov6WD/nJXKaE9pbklAJsX1SpDt5rY+E8LXToBpqpqfseBOA9kNjtq9EtT8TvI8ZgBoLi/GfrkJQ3+zbnu3dtJ8kSJ3+R0bH2VcW8cA15FVAdqBv+szxhKw0h2PuzVR6bU2t6Od0sduPF5X2QHGRozjIiIPTS+LDtbmRgorQaURAJGOc3FubWC/pNkLJeeKXqMKr7+6sK920DDqbhVQXuPUjtiJ73h/BQewrCXfkFs2hkTNcJhjcCd1iJcmwwCnNrfrUhFOaW0yjeW0qYWg7+V7MqAECONI+R3jCJgnvzFxs2DcdlvcYTl3X3TiwA0u/6RuUrhxHch1pGoi6bjLt10Imoax8dXpfreg1wn5MgZev5VHx7/rtbMrVRYmR5u1rdTeoCGdxLSDjRoKvrC7JqIwziR/2HP3wbGkzSZeU0Q3aaw0Lul5w8DHLXbICh224TWiLqSPtObwQx/HuA+od0H3O2BV4AcZPMLVfyrNs8bmlxnPAKWUssjak9Y8bWQ7rxv/CqJY/vjn5ohyPlD5wdV9qcBKKwnn9bHTzY6vcZ2Pzu1dWWAS+N2toRtoxgXr0CvsG1q9Knx6Or6/Z/nXbb2u8moz80v5jLKRu7dOvlJvbALn+rFRdGHzXILi0UUvmN1dRO3o+GP97TayPlReHVr+3FLSuM3n2Ot/KdXblEGvoHq5Jj9zWNtrepLudZ2eefnG9e9N9Y/wkqrrsw2RdEjWY3fjrTIcs43PksNVDIUOMP/mLAeXuvVVfx+EIzZ6VYqMo6acn3bMQ4Z8iKnoDlrwCeD6WpcE8ziMHzLxxaRmPWXKmKRKuVxnuUYfpz2mBDfpVlegvJR7WOZhkU2shxt8Cf67PnbvdrzKdXj/g/VXxbAXg6tqehdOul6GU/reTGV+yXTsP3ndVnq9pPcb4a7rq0sdi0Ej3S19dzuoXUOlf1HAA0rU5J0HGjit8qFO1O+x1SvZ/mCbuh8y7cpyP2y6D7bS+I6n8Rhi/PRI52HEtEYEWK60KZ6luJ5ETJbTeEaGQwx6bDQJvHgFU8bGRbyUbvtiKPHtN+SZyZzb0escYnRVu64PxqjyIfSl2pV829Fr5bul+raHj/AaWo/B4wUjelXp+ic+zOE2oiAfivf7hcmJq6cMEWG0pV3Qu0Bk2HtAx3G1V4DpdP10DqVSVSLyFZiZNty29DqqiJTE43o1scNGktI3b7u94jW4ZlF339/XVbz071wUpp8ruHbP/eq7sIGp3hUb5ud3dnIa++fg4duUj+hn3xcsL8oXR+wPtAwmYIKfjWdfOLbpG/c9dXqZBHutg206KN6kWaLcqB0/VQ9gGoWKNcJ2Z2BxdG4yKIWicJANT9vY3raXTjHT9yAG0xBcq0ZfBpyKdVHfSN10byf1r5zWpwpD+nvca0cRwoqpPQpmxEI9le1DYYWtwFyfu74TG5NHbivuG+sTh0EHbpRxJDNGvd4xBONX1n6NPGKwQuibwPTonUOSoRF3KajdBdf5W8x5snH2Nyzpa6rBwJGnrHQlZfnm1E895eh36Pr9Aru1yfVj/Jv2qsPSBWxEGTtd+9qkvvze1+T0qbBI7jMZJn4Sro6dIpurYp7uXuT3IAPBJI58XdoWqmM/BZh3tzhbYViZ9jr1798qoZl4HtSipmQjh1kJK3QVNGJRkh5tUT6fKHF+wvfrNqD/qM/TntWI8e/dkPJo4E6DCDq33h4mC0yxTDg1bdGjVhOeGN8wnKiNqc02AKJF67OdEne4DMN+Ko4zza19y5sF5CTxvti45LttYm4CfgxnD92pO+YxR4Q6mOGwZPlgz+Oe6wN+qH/A47BatGOK7v/KvjeF/WyIjQunm5BhTAgGQydtyyNhnee6UTUdqAilOMbQFHi3CHFvz+gKgEWHI6IBeVN8MfhtUrV14Kt8/FyMtjwSdlc0PME0zOZMQ5NTLfDTFO1xjrt33y2Ms88J0zeMSM13mbSKKQ8mQyY+QvzRhjSqdaDV+7go8jHaqREOXKfyAeIdopIiXIce4QaqBB0smy5GeyIYkdG8jpXSxznPIfj85PNywp4nAbMPCHB+daN3ieGbeIavmzR+S50tShG2dm1C17E+mm1266HoP9K4Q7prx/v7EWmKW5tAq45I2FOHo1Z1POt0QloV+PGP3wAV9FNGOlL7Ke+TtuNO7HekiGE+hOdjcL2lR7YSzEwbQgd0gBk1G/deMh5nlGDVb1KUlfHOSCVf5qLKGzbwvV7wxIMnsBTSQdIz/975s/ep07kOocwrRS+pTliFRGrxumkxMssYoj6yGR8fXg9r6rvWBEUFh4y5+f5LoUL0OP5e70BeIkwLz9iVWB87G6fOTdULseFlm/p3da7e7WzVfUWCp9bZyQJgccCu67guZKT1wpmceA5YH6olIsdrSvUKJ5BlW+ItU1fblVtHJ8nC2HRVJFys9CTwPQBRjSsevC//x9F4kQpRkPRUduxsnT9V3Hm6er7jMHQtGlPhY6mPzbukF1+gamv3YT5zdQnA1As8UlHzvF22jTkH6U7wzXfLeOnPZAeT/tFEg+aaR/t5/6a77g66C23OB5yRUYHHJvP6C+p3GSfjQuZ0hz6Osm7E75Qts8N6bl0vd7yh3bwHZhYiNX0qZO4MMAhTj+gpaN50HdA30Z3rEZzSUxGHFxOeFth1JSHFODj3lHGYzdvGnEs5MR0smlAfYwA2a/BiHcZBYI7aczyQ+ZHsr25rxJkNf1PnnPAUvztMzO7s94Utt7l+amYl5XYcH0J48Pmx9dAVI+OSHVY84Lgs0Y5MB85PiWdHv9R22MhN0L+a19q4LVnrMi58nQBINsa2sMx1WyzoEOUgOYi4Z5siGCmIRQc+bLAym6eBE7ONubMo2i5Dzk1FeqTbPnTYw16/ruWVBS3jYz640BGtaXZEi3oHmzbo80RkPifAoN2L/fB0gLrCVTvYzV+VV1WXQ8H/5vOtbUk0hHJYOtBme5Cxd5jmYzwY2cDG/oB6Bi4BIILeWvDDs7XY8z/MZuwqcf733dIPv58HugpOcrgCiDTGAOKdO2/12SBft5FF6WnrwveTn0POcSQs4zjJLpKV9RBa2v8nnL5yZkY2zT46C11pt07LRIY+6fxbcC3+dH2mbfDaZhkWd3SS4C88tsJWrxPwzI2XhXRS1ge3Yy/9uRM53jEvuiL2uwa/5/LFEft7pVQFBKQs1MKL/lX5LuizSqndcxgj2UV0fk77tTCTvBhLEhob4fbq/pvrqNhrsK5OXm/b2vR9dUKlKkOXsOy6KQInnu0U3V1h5aZG4JESsOtv234xYpBfZcOyFlMYTS7tcXU1jI/QnusQF6TFzsO79rYGs15846ek5HXd7WbOndIts63dZkcyHK9or7ZZi6w0dtuMIu8XbRXPKwRgKvY7YXwn5LF5x8ot0fMr+Jd2fE78XpWtgkXKixvl4rgvSIl5NgPFU/nQ+9gUoeb39DXpNoa6m2tzuvDp+MQnLugxHBMXw16M+lJYCZ4pweyd3MyF5LrLO4evPvf14G1bO9VZxnwvbWSBeBA77XW2FY7nC5zNflmhnc+33yr9q+tnI3OG05+Igoznj7DCYUdlppEiZbmuKMCOFV4j5Lm64i9b2mH5YutEgHk/6t1arXTh86JY6aF+qtjTvRQoSX7GpnOCX/bzuxvjB2XTHdzLc82/p01rkPoRBGk8RRDGVWyeQxB3Yfehz2hv6LHx0KAy74aN+14VERWb6EaH41X7+Ac7zZwOnSjpCIq9rubziql3+dwpvfNUaGtqRcrY4jQjGLyZUrbOTfHZR1oabp7u1uyu3PHEK35GtBLpQmX9VJzQ41u6hONOsPm4WVDY96mPKz0hpu2COFnOvqD3OGjyu2xI/9DKR3TcNc3Zx+4Bve4UH+dfvtQ2dlKC4wNtvozE/OAay2mG7/t8BcNn4/GjuPPqQyjbH1WYvS63ztjvugTfxpQvuGFBTB+fC6fmn8J916p3euy3LNXGirGzTvQZbd06YTXXVX4u+fcdPpO+W/Velr08oOiLJuoWpqLAb8YQTRfcLXbW587PbqLdkXtT5WXZEtXm76JWbEsdI8rfywYJkj7PcxX2kGdLEp2piTnlq/9O/V+yIdKhlpTDsbbzCJNj62IYn413BnD37QWCdw6GV10vvMDsOXe0+pVWYSP4gRTix45+by/awfzWD6OELXn4wW7Ma7f4oICUAUj+Mw/ihp9dPA99mQ5Eb/cyzJHK9usQS4Ou1OuY9iZXiK92lWDQtNkgcTB1Bz/xhDu+Ha+ySXFf7vhM5eNV/76RI8Fv7/T9z9EHmGfat7f7Jczjy/NkX1eYCK66ngSgq//GT7iOIhj2nQ5b8TwBoIeNKMaDPCXxiH4dP/1qm9NSD3tpgnHIHDnzUu8N2mUEEth1RxI/sw6yoPEzZTPLp8v9DMLVQhMX873IvatyRSM3MijWsfOg70DX0YbrK+o+1AA+ROvf2j75XSxfHLE/wKIAlvuhykkDeWKcbAAi5dJ6angwQz750R/rKf96h2sSbnF60/vKK2aefvvYIvHIUb4PqH4XRq0zptPBmvXiewHdF0YRpJs7faLdjdKrxQFWi5qixXen6iEr/IWpXDqe2X4p8EjPm2UzQoD6pu+XNi4EvGAqNd5O/dYjY4cSKEnQVGcdOtA+jd87neaLDUtvmpTNjFDq39rntC+XgivwRGO1PlKELOjvzaney3KjtMedIQocvn6qEPKxsBJZImHT5jB8bghpMRdeQdPaC4Pboue0wo0Jg8O0jQZzxdSdSN3uCmI64p88V0RD7cQ44eq0QTQRODE8NSOO/tAJkxkayneP2DeCHf04Tik6rdn3KotDatCApLUz4ZIYU9CNRY3qkZ8vzlo3WED4dfh9ksxQ8ROkAOIuFTFjZhh4Oo7XPqxORBNyx44v+7uPtKH9PNCg8zQjf0r3p8V65jvVYuz5ns54z0a898/tEq34euvkHWM6FMWIdJNxh2meC8MJR1E+qD8Y73F6p5PX1SiKE8PsrNOypuB9WH92r6bf2SwdqKw95tcjDB6TJ8QY3YFN6aT4Tle/fydERZ8fB5+w05vD6J+6gArm/bc8DJu3bnen6gPjMIBtxogAcoxjkB4RC/V0QePvgd/hZG1HViZGyp9WnhnMAsjbOCY7jK05D3GXUJfgwY7//jZxAkzaUdZlqiwzJyCPP3gX8ZqJmIKnc/706Gu/YzBnDJmN+KlxiKY5FafFpsFD4nvWASzSQSx9k0DmneE7ncPXqEfUCI258OQ4GVuiEHx8zK8jWt3mIe54bpu+n852JO419nXenoM36dGAU0cGYaMbEcXzaHi3lFLn2VDVQnfiqw4jun86pgMWxo8NV4FflRlFdYiNpQrn8fv5IyAyuBDf8w0Q8fGFY3lUamfWO3nMu42W8bqejNYxtw1p3YYeHvWQZRHpBDGP/rOshR2MoWcUXCdHcbmfNf5KEamasqMEr60H7woelnGVKNf03sflax0F79TmNjLwS3ldmPaWd+PHjM6ZTsTt9S/0DT/bRoR6dXewFl69q7+sC6zzzfYiwxO2LMi224x5ewcura00Fk8zyToTaC0FaXMC0IK31Lf95Gj3DRzbNM3cF82JYOoDYcdRX8uhzps1q2Xdmeo19Y0dX2nrHA0elvmhf9+eiq6Cw771CK+wY3guIuLG4Oc7Db2rK7ojOVftVqYdtlPXMcxv86DXvxdSu4DL9wkYrmRT7PoD8eyLcYw61E09iEe0Em3qRtZUsnP4lojzPOL4S4l4qG+GIT7QDPMyFtOrAJlnDUIY+vzk7A6xN+J3MJJOvZRG1zgEH8nDWNcT9Ukwj76UPrTqmwOR3M6oQ3zG9LF47tGwfK0NUA5V2r2wZjeBbTpg2ADRhxAvVnRY5PJZrgsB5mFsHiePjWgqZxzTPZ0qfei4cdngDGCjt3jfyyJrxD43OknMFes7PHd13UqRL94n82inu2ZRf5T5Bm9ITh6NNKhDl1IQvTNIhovlShuzKfsDlJZ4fpj2jhzWtFdkP05nsJLpWaecCRvB2zbbUQ8dd8wCwKMnPIxMSuNZc/oqQkLE7y628bNs8b7MBhAo2SADXn0AIwNRG+9OxFUlC0+nO2BDnvABM1AJmamo9JnW/l12jt3DwhcgoMPcTuNzr6rB7GSh60S8qRo1XeREAoJ5uNfd1bmSZXUwZl9vsyDsvmVZ3+feHtAsItZwcQrOU8Z+wFeCfjYctsfgDta3o+NhzlXFsA2f54Gzk6OV9iw8+9KwMQXPZxt7FO8CeQraEyMq1u+FtUyG2/3gjewNGRE0pmv9ykuuCssx8pUELLwMCz0sTdFaTjyNxFD0yQvO6qnIOIxPNH7pLKa2djZY6NXc10aXSGsr8mCvcC6pjwnuau8vh3R3cN/g8fssXxyxP+BypUcCRpSRdoQ/qo3M+nHXKpgRaP6GFoM75GqK0UXoYPP3TiBs6t3dO1ON7ytn8HiooVgCZeFzt7uNnbLgt7CaAzaUoDYd154qLzl6i6LPME1YsGegWach/qbY79xOuHcydzEq6nhr31UwlD5mu4r2lPB7hb7NGzCSx7Zl9DxeakNAygy9c3yxLpUUZmz6uKLTb1BUEHfkCgkIThMq3RTocopnmYOioLLhF4pXKFn5nuWkqF0InIW2bsYU4JBc3eFtxw+qU9x/sjLD6ZCTEXfMvlIabB93B3Agr2lBpNdg+hhOtJxyBkAystKmBL0LBwVv0riiTGmcYk429FfXccKfjHSwUIQj1nlE3K0iMEcFgGdLV0lENKyllJ0HIsQ2FySzB54bpVSrhV7CCUvjWmhqR0OKmUqY1zg5CtMhBZuz4egX4GH3y1zxA/a40RzXDdGF5xU6LFOwCIc4Ge5OS0o5HsvR+b5/6gcyzFhm2JmHDZrW6cy255Z5J5zZAbLPBTSl4h6bAIh2YmA+eP8nmIZ7lTeWPspPnna1KMSWI+pUBU16enaekrqddTFSEosO26ZTxKNMHKNzB8invN05KjNl2yKzeBy0+RNyimUt8y8Gmtb4ODFL3ytmyrmDjGOdfQ69YwpaJyW3PVmGTV1BM2zeV6+ToyvvcDowOJS6n3Xod4JZzmn0p7Ez/ip+s5dh/HkO4zoOEyjssMdwPisw7gNqg/dI290Hi0RLwpOrEhGwYzNJRmovu9tnYQPBIwsuqPTHgLeddCjAAXH8+JwsdLOmE429hU2p9NkoenhJg3oFc5FJrCPt9ItdOwHjThe4Ar6MYcviXacxYZdk3q59Hd+wHF8bdTo1V5bj3b/TsunxpXxeuXFaf1uHtts4n3WncHRefr9Zw5/dXn1+B1N9X3Whu09Zdfgc+N1mFbqXm+geQNgMuz4/CtdluYP1gvekZ1cHo1K9KtP8BUz+aEqHuuUlXpfBdTkIx5usH5IeFDKQN1t1jsvPk7Ezcmub72Cj/nZ2e/qWZTKN7bbdXaEx7cqtff+Rvm7W0dKU99Xy33dl6+TUjGPeMxCFOSmQcBgyxftlnOz0xAsd8iP28N041hdY8XCz3naO8GSzmJ4+9RNqyLLZ+L7IvIV3I8QVZHdMvVV06Pzqulwl5AK7crs0J0n35FL5/KaEXne37i7mKeDZ9JP2hpxXeLsTBWtbu0K6Pa8tv4M3riZyO8b5jdOw2rVfF9kdnKYjAtaDGdIB3glHwgvDc6EPJ1uX19Hd3Nn4ggbDaZ5pEILhkCVFNduQ1CQ7aAMwDKfZVvl0xjPp1O2Cy0L8YBsNyny+MIZbW5Oaj9c8x99A7jp/EwG0uY1HegF98EruO9zME9O+YF23y8fAQv+Vt1ZYHNaWbdaIFBfYvoZfK+hZgkblfgraAfQuOKXFfsQpwKP1YWLqjII9exvgmBP2PFtE7qpKHPbtTk9KEbD1340czYMl3AZ9ZL+Jui73gea8LWo64TVYKs/TC9pKemTIg4/RZE0rXOHc0d2iIwFp8MkpC4LrA/B/2IagvpZ+f4LLF0fsD7X4JkVVVpxBUFTp4hjZNRf1M8H2hwkja2d7KreWjfERf+4iQHcwhUIvcIM0vnfmQoI3ObNS9IcWZoBwhC1dfiRVc1V6gCUSNnTeiKAhpnBxErLs/Q9j0KXJ5rQcf+N3Rjh83E7ql7UGamPZgOUxGP7GSeah+KRTNhu4hpKJ6VATQN7H792/c1oypQNid7gBKfpICqxp0zgiYta+Ay8FH7uTts7sHRe+UdqMvvhO1gWm4jCZL7CUpHCHcMxKlcNXo0VzOwUfXLiuKz41AosUotTuZk3EWM/ZxnJPEJOe5vXn/7abAE4/RYFO8FHbGjgrOHAa8GhSb1slp3jpQPskFsmqObLNNJTEL5Ny7nXmO1EAT8nvNvQ6UwppggVvgBw9Um4qMO7kFJAzIvcJEMmYAgt2oNJJ4pAPTaFfdeibQL9u0HdEOhao0bDO6OP2aZwWjAhiZAU1nH4C9EOXNZYKj4MVsHMqWqEsGh2cP6KGyHiF6HKHdTUknJ7Ev6XXCy/R+VyeNAh3evGah4Ys4s0Gp6901x2vAYKvOu+CD7TZTtD7OaukNdMQJ5F5PIFmniMQTrzYSW21yFgcSk4nc8K60VzyI/H0+qlTYQN7YbbjXZNxwKCZx603GUGGKrRmO3AK9KHodq+pcrRs4Edjs3bH/5ZT6yg4N3w6XuMwl+P74Wga9wOHQ9ieBU7TPEr0k+60Vth9QJJ5IArctJ6HLmF0Tn3YtMzNFwBqkfG7TXA2wGK98viPMRfRVzfnswLqkd9fjawETrvBnzpwqFjqYSwljE/mm/G3QlqP087VIct3xCbe0TEc4ZxG6pRxn885eXBEugvgUTASGQkk6mibG+6hjxj/H7qLHTI8EffGSqfDijQubYIOnbqDj5VlvNBBvYYt7fJ37ZxZR5K8a/vPAoeCmbVkc7CS+9h+u5E3id55zQChH3rGma2Tj9kI62ocWVvXpzhABAPdn/hNjPMvZZYrfWy8WzculjuwbjY3lnuTgcXumRvIFxs+TGea+18cetxX5bE3dHIZlcZt6hzPlf21c0zOzX6TDVjxt8IrGa4d3DSedP+7TP6WdPKKWrcpAcS9fEVHqVmD6nhZfsa7Or92aGLXzrLBpgh9sNvLehgzyRGUb3XwONY75l263LH94IOV3haPj2XsFY8hHhp8cyffNzoagIhQ26hMa1YWTDxuD6aXfq76Z1vXN0QrHV6l7V+K0j+vw2Pltf9BPl03rbXSl+O5z9/TRj/TlcsnAuuu/QRHOYDHdS83jneNqaGOIvJChjpwm28CbsKtCoa+x5Gw7sRgHJiD1g/uus2stleSih0wHfgiPQw6D3RqvhszDZ91HMeZs5MLPPHdwbEvITRo+xfk63/XtUYw3NIX6y4Mth/q44eFhittpfnzYciKk9hXMH7sW6qNMkSx7hk4ZjzLbMuzvzmM/ZjPXZfkb5J9E/idgNb9n+BdSriljCXi39B+moqOzFyCEf1q/QX9NQ4JWMvA2wWREOLdNhUMh6uevhhk8h5PU3y1Ng223Ef56dV4YTJvAxa6A5AcykkEbMC55B3Bl+3wquF6NiyxxqTMnXcc+57u/Pf3fRWdqZR1EX9f2ShVnhF/qDLNT9F7PWcgIhgR90FPw+6HNqjZXV073t+PceibHPpHaxYJ2yI18bzSBmFP9i54vr+N5XXae7cfnzQ5rguUe2GX4JiDzr3XdeR+FuufZXUN6JpLbejPqa3A6crTnPcK1WV+4X/W9qLfG1njU8P7+tFGozlVwHMjcMjP0vZGF0kZSgPYDPPkW3XwG9ivCDpESc4Qma7SKbi5b/D7KV8csT/AIvUPwbrgI40JSko95MXAz4Hk3OTTWO2paM+xInencnebNED+PWCjTeudg5CdvlHPGYBttI3UcaTAEQwLXJuy21jYMb/UhjO0ehE3kITnLm1WgpPb3MFM34272DR/k4AEQBEGS/sOm+NdL/iaK9n2vrshyzheFLh5Obi3EUNyRys59uOElzF2dtRqQ0SRRZoIF4yukApioxxEIzx2te+TEcl4KziMefSNb0E4cuQ5KkuTLDCsnUih44LcN6AYH5u+Y1N9UWomvuSCxhaHWFXISNglByKPvQjmxblJCvcyt2E8XQh36vv2EMhOEZb5cznpGYqTpL9j7ms6qU68zMbjdNUfmCltqblx36FkHNL3oeT6GtIR4VRpcBmTj+fAMGBc2Zc+Ilc97aavK0Eg3JVId3gtEeBC97C4ItgIQOtfzLmpGGu7fUI4H3epc+Vp8B72ovQbTlqmL19rlc7KM1GKOPT004phhBwjJTFg65g2pZKB4mt1w+8DnEJjKU1WXTfkiEv9OF6BaQT5Z658Gy6kC+QTJk55/IIUMcjwaVTKMo/bqcrxaCfXTXS3kQehbHtKqkNjU8ejVn1jRxKz43aMZrpp6G3Wjcww/r3VlaaRogoYeBp0DTs1jbheVDulvCp0xZsfNKxBU2Ws/CA5bzDX/jxoMA4eAGODRMXWtR1OcB4Qa98jdAtvBKYzM97xYQeftwBsjax1x6g7YmNu7QSx41wFkWa9vRMMVWY4XjHfi8Gjx0ylDAX0tKwhJqP7m0ZkduaTGM5aXBQbjzrBGY/yM3QjbdSkBzegRUZk9bLrqXZP0NN4c3fHKCKdlMO4jzKdd2q5bux/h7O1HP7qD8K9837XQVn+xdo0x1RxCLk8j1hudshi/uR2ed6F+R2PaYf2ywnJdXaOo9HuiJ5pxCdXnaPczxnTOFIuD/18A4jC6LYs1qoHeB0A1Ulbo2edtr+Ub1lIvnhZ5rnW/0gJufeB7y7EDUB0QH+nrEyUZSjZsr2MY9v4RR/loMEWviZzl73InKuyjTiuB4DlBdyK/aFhQeItS853rqpcD1nWAtOhUtpfqns73JbXLXTFkfvs1InNRzjeR9rKiOorm8tbu2d8NWWq61PI6WJjQ3s3p9T+wks3emb9ZieDFzWq6KLhBCE9d3Ec3ZAvv7+cC18bLF8c/1X++DPJf+9ky3ZbYgOrcP8vynZeCCauxxkPF3q46esVPqON+pHbQdbfYpsubRhVsjrr872h4eiX1kbaZ2jIOnvSc2YnOaujaR5NZ5al+AaDEM8Lea2+nuY9sbtownT48eJwS6LtjjhwGGgyeBacSvlz0/9C75uxeBpeTuuaPnFdp7azW/c8d7u+vS0/YGu6fPd+WU4xXhxWnbop7y0ECfK9sK0Muqxb/pl4ftTXySOdN8oUHYlmGSeCsBv9oKNnVNqhDcAm882+zlLEdn8F0Ge5ykTU9mOHfh3jYL5MA+d1xXBuE3gwjezkwY5OuP8dH961xc+s3av9ObVBeZy723ODMHTh63e8rg4hYNzRUK1jfbI8TRmWjBdkGS9T3ommu2ZVZWyLKIbPQRv648ATwHEoWus4RfBuDli/2oYdsOlQbxf0c2T00tMAedrAnN8ZTmvGOzC+ba26zcy8Odl/tmbaibCRow9kfBIK1glgRlfKTmZvv40Pynon2f/R73nvgOklO6Mnw7ijN89mNNqaiLzcp67fV9uR4L67/nEB3tuKdx9QTH6HyxdH7O+14kJ+Q8zVIbs4aKnUKMPRrlx/J/t2ZhtTqu0i7yqM/vtUQsrpkgQs0kJORrTBL2kRAtie+r4Cir5bjGZJde5K2mCSPWNJjFOBSJeHVSHz+guzvQRg0wcw09PsTkHtlCXf0Kz3AYdSYJ9WJ5wLKpovIbrJ9/Nt2mpYIjOXjVeMTdQ65quyONsJXrVo8Nh49VcUNRtCl6QVO5eHclvy5HMhgZ8EtsNUBNTVXNd5S87UWr8oB7VvLe2gjlHpGf2dDOXS7y5V1bJxgFknRUxXQV07MA0l0OvrvSizKhhGUcVxHR/jSRBpYtIcg3CmF7iQi/GFFjYURhFAH9Og4WqxqeRshuiQ+5JmDt3CxJw9qSvrDj87ewpNDgcNp4GssGNqhYwrPsQTvGD8skZMYJ6ILOtiuya9wUvF1f7RqczFn3N3IGZ3kMXnlhwTCcY0FxLrU6yPy42nhd8SLv2b3c+Kl7qmZP6ZPie+Hw4pIB0sgI50P6ISJ5yHmNR034rfAyuto9nmTu+jYT5AAPs20OMwqKU7FmvbTk4Pui7ysDhQk0PIMxHw+JF5L/M1icr0nTnXtgfHxOQIR2LsjBglpJc+uDNR5DS4C8/je5p0cdry5vLyjW341LUkdbxAMo4BTGe0Ig5JjfubPK32RmlQjKhlXht+V5XxsnA8B/8Z6ayPxxknnKuz308/q457fc7nMXHmc99l6gfnuOMHNPaAUiZ/q1HruVP63Xm2I88PTtyVjdx3dAXtrdM2uyxzHDTm9FYdPSprPeBWN+aT16nfC0fNTg/IHwNLJKNI8KNlw2/TTtq8JYbFGW/q94tdw7T+cqK+lJcl5OVrXH4o1dcN/UyeXvQIK+lwZXHM17RjHymfddUMv2O+z+uo1wVFvzL9h3iQpd6Ay3nXzKjEkeypbuVfu3X6Ch0bm/dyvdd5YTlMz2I6ZV9/+ZvaXTYjHd+nsV/XqRpd18BtVT2vk75a2wbpB5XHvCiLLsnypvCwS13ggnf5t6Gn0PvsRNbrtnelwrWrojO2JWjhCi8vaYvww/UL7oAb2cJ98fhL9o0qQxWwaMtBkCHzra1Fz1ZK9XkloJU6sJ8z89gN8aQ1IJkOZVPnrgRPKI/r94Kc4pVwMO1H1+EltbFkhvI/FZQhBmgRzTrf13Ete3tB45n/7uziW8f2HS1v+FIc4qhzeDVtL9p2ECp+0t2r5Zu40oZsCgWGQ4cP7DlZ+neKFAXL9hrvhaS9P64rs12BzXcZh2esm0wst5PGwuPxAwHGR73+zI40bMI7tlP1/t73NQe+p52gpkyLGVSxp9E1iHns0Rb4ZcAuJBvqlG0huJJlxKt5zsZgsAQYTRrc9LFDVOFtUbXOzQWCq615u88myCoB0/dO9vf5ezjxpVSPAwSDXkY0vgbPTevGabjbP5FxUF3Gd10agA61RRCsxwifo2DT0HQ4YLWLOWABnDIzwZVx+dpJa5X2i8Zau6BT2ttNgRJdEg2wjuSkKwwDDbDqGzFYIbm1K1cLr8hOzrrhfETq95qfV3gnvy6ricTnGA5Fo9Z6SvRZ1wnDQrIq0eBd+Rxd6Xe5fHHE/gDLTrcBMBZ4TZUqK/HWCJq4e0bnN9WoUBkXpEd6MGpnt8EdkQAiqZ24YyvqFZhpLNGHK1X8rWBsHPa5wJWjOIkhStflblg3dCOKkRmFzvavStrsL0LOncY7w3kIHcl/1/fUh5/YGYIt4zLhyl/x+MjZLN2coOJKXu5oKH8Sm13T+SAxpoRnIcOYhY8Xgn18M2CSp0X2+WaDKXYisy6n+Q0BZm2JC/kS1VJxKIoRNU1zup1NUtZ5g1Mb8PypPIZU3DkHnyeid8GI7HOYFdPYDSQqpenB3GQkI1Dsz34MOk8OJcLXsoHjc0P0xE7/xYcmE5ferkcrR/S7OcAXJ5njx+di4RtIiPcUZIHnx4w+Ek4pKxiRc66ERwOa22W68/tsaFyMJzRbejIVp4CFIm2nE3HOg3/vypQrj+6gXaJ1oi4Rsn2LR4dfmqwnIIeiPXwyx3dNYIaNGTUy2xAjjNAzLJpRJfPWsBQUwNniJKBaSqFuuD4+SaLn/oAZLhgniam9rTPDcNzeJcYujh+19PYOu9OF32HrDjOCNXBZ9Tud8xOb/rxBE+tegENn9Lx/V53wZAz0g06u87226nSIOH3stMKHFFJUXuXrVAbso53+ZjCfCCPb6WtnNPmrJSW7jw/zO61w+buIAsU0FFRSWiM/uTwcpYLWOt7eRkOnydHjGHfEvr8f404WTGft7C+f2u9dxj0twHTA+jcRemlwOu3V9U28JtEKG00RMYrJRysuO8kc5mXv43l/YBzaYNyXzZMwLDsWuHgsIY/6/DuhyTZKHJamMlI0bnQD5q+J/7vhK4jNaD5xzLogbz5GijNR6KMPR/yngeeBA53js3YU87BTex+OUX2MCNohz3XeG8Xwto4fffWMITVRPI5MMyKDl/3fr7/C+6cH+rPN9FHqfGbwrIiGJfnlukOSRfWn83Y+YFPW3sDfvMPL5RN0pphbNkksRTEw2W6aatXQnXj+JkIIPp+isn7diEbVOUDwCKa+wZv3TJd+el4A3sTyTa40J9ZXSnUsFIkYjctsG+tVHfOuy4mc1aFL8xh8jphagkvnXJZ3X8q+LGsCmLizZ3JeyHkgbzIyDzKbItsJu/73hxLr4WCHJ2gBk374/VXJqVF9YBd1eN1sDmQNvqPhfL3zwUTbpc4VPvUYyg/rNGEPXx1YTmtq957W2dJhbsZl0yKTKs9Y2ULgJvim5rUaTQqy/UJ9uJ7iL1hvkY5If69HqMzbQ53RJx/gLXKYf9/hLb67oqsdzfphNtJ3t/0WfPKmZuLbrC/UtkiH6C2nNuSSNnGLCpVsHofHoyWZFnhui6zjtuKbzevR9hxPpaWwW/1xqQMgO7qctKqjBUxLHh1HfEoQGZOEdImY6zrfFfdxSEKn7ryB+W4NBRlQnbrXk+bEceN6Pl8/w20oIipxYY+F1/sBS8+yNOqojc/+bnMwqgpom3sIfTxnvsnzKHFNRLmuhh0wNOBqt1Vc+Lu8Z0c4wsU3inxwutTbqUPRBgj9O6KWXHfhNQyrAFCN6yWm3bCOra6hiHrlOnx4TTAdo6C1RLI5cOHiltcUjSdkz07NKnM8MvbopEdgHqy0n/1s0N5iHU4AAWk9ZVzyQ7yMVC11x7OxtnliBICeQKTaCflpsLkdFPtJhL9aKu9nvnknE2b1KX/YzmP+wEENUd/WS8k8tMDm75wPFR3A5UVEMtf1Qc0kPuVrZVdxB0cnmAVgl3voErbHEIeh7aCwp14WBZpd6TXvGzbeATUnsqA/Gxo6uh4jUxYBXp2v7Jh1UPUpY8/LHLAOe+wz0jiT47wDfg3fGNeA1fdr0trqGPZQB6RrdsT6PDD9GH6GfBKg68rPqI/qkE262ma9xsGqi6Ct1NeOrpN8ohvGF2YpqA7YtQ6zvRz4tmR8uYOFfxqPu7qWktvjrCi1JHv2xdr+PsoXR+zvlbJZQAAJ8zbSC7vCxc7Z6sjaNv+RE9B3AiuYwQ3V74RAVXAu2t1+Ux9/ThvfsCSjn5hvNQRXLdB+MAPm/CBpfnPd6MOb/sB4FibIPz+3cFMMGytxoL8BRMocV1qARcGP30vbiSZI8HlfsjHUlt+l9IOpzPDfl0XmPwWQIqyr4sSwxvdXCw3LfLjBXTdMwsC1uoKbqHFMZZoNvuooXWDhP+9wSXWqgal1XHelKDLx7EZh2ANYgCnrY5vO9UIZWvojmtwaL/zuTtATvHxeJQwV+ye7wYqnKnYFdCgVNap24JN50sCJmgHuwxSKlJt3d8yB3a6FOmc25u0+/Qandc1dippE8OUbXhdN03xtabzyEDCa5jpOCnABxV/4qVAe0wRuhSHWg8zf+XTxR0vAeyUDr+j3ClZqOOZA8iaP69+cTnk8V7SjJwMppdMuJWrdCasdLwA9u1q7E/Tcxg2f24roK7m4g6nKJv+T5jnxDOILbiAlvuRtvZorrlvmZFfHDwIEXIfOlOkNw+x6IFKqabPDIFdptS2180xTrgusQds0pKP12Ixx56ufpu8qaxo971tpXhkvgoSvrcOJ26qPbA5iM4f1F9t44GhXFNk7B1v/Xq8YuOp/IcKd3KvtCKZRWdpPTliCbfBmM7E38KW/ZW5sb/v/SLkahz2/TMP6Qi8J4/4zeOaXUsoGd3eZjaoT7LJupWN//BE7kpvZZRHgdU5RDCmKtl18y6XANQ8KwNa+32/2eTC/LJtMQjv72MdwNx8AMl4uSqhORS+6Er/BD6/a8X6vdAyHh8Y17JNrGIGpy/l93OLtCmZmmvSBvfP53jlDd7DRs9hAvqrH49kCjcnLHCTWSS++26qzTgsvSG6bzSvkwZxbnvOqJzsM849Z99ZuSQ3MPlcgx3vxelffA5mmSv2dg/MS7otvlm4LfSeblX9h/X+nUxTb5bbP0m7ofDr/5vbZxljtCtOd7IVIfn7tFaZH3q7TB/1uqsHU+w6xSE5ChKto/J33fQkH8R1vxg/ge9NEywvMm7V9RTuXTvJXsuDmXapU7YvaAPUtQApyCJ7u+ubVoRsgD7DiGoTLG5pXbHjnDZ4Z/uV3eH9rVpvvoky7YP4+r2fyyZ1wDRpULGmaGdbQe/OrSjr8R2LDi72xYaYuiwp9X9Hbsp9G9sStGNroQfH8gjdl2Nf3WzzU5yFrNWTuwKsfCBo7J+nKG5nqk2c1jGwFjCcXmpUfAUFne7qo2JkZuvxfHHQ+3WEqayQ78zJ3lDKfk/zTx+NZ+wY+JAIYAj+94JR4e+C0yLq7JbXIPW6adZjCz1jOfKvyge+3/gkH5FXbF3U4oC9lMPscu/Gqz5+A8sUR+wMszrNiY80KR01GWrY2ohzbqcbgFf2QySji49kG/82GQY36AjPY+qpJZjBsfF4oTilytyyQiOgT+93S6W0vaa/MrUkwIo+M9XppgaeLEVYYcJRNqyLVOcozIh82JTFzMpoAzBO9dNJNOfIUKMzYIitJyApKel7uk8YW0Zp+cql7lITMOeeTzOX7tosCZIbvygYJMekkGGSeUlWRfBJ8pxl4eioeAxARO4FLw13jqHDv2yNodtEn1HfdtIj+iFa1YUTdqZFj3zhjgUW4Mp6WDYAqXEs0UpA2jcvhYkMx/nZ69FS0QBZk8AjI+WDnuNoaQCUStio2CZeMRuIpzlc4YjuNgeB0PCWj2U89svON51x1nIy05yMlD/MS+qaudz5tanWc3uDrhuqIIt8RGLgsmrU9i/tVgqFTJGzzv3ULGgBIG/xc+4yabW8jJsvTEfXTJwfjhF/gfZ5s1oeuNpfKaN+jQGOuZGYxoKhEjkxVvq+XdrlSlMqx8ooMAP+9YaRLHcScpEhG5p8cQVdOEnNkZadNPS4LHftpTnYGJO+z04iuEaxUzbMCbPmA0/Fu3O5Ut27ZQEj3tdDP5PARTSebPSp5pPUZhm+zFMRHM7pSxH0snlKqtY7jUHz19hwi2aNeyYjuPd/h4kPpdn+Lqhh9rpSe6KZNeuN5ZP4fqLFnEVFVT4sXXqLevWJmU/CIUc3fLkZcyEuCi9d/cSwOh6jjwdZH3R2UXFe93450WCLw46fD/dsgMMysGg+dztdmguvNo5LHt/qW8R9gdwHeR/pqd1R6NG1aw2ZwB1LajPh/f3/g8TjxM29Pw/no86ff3vFVO/H/ffoRfvzpDc9nM2fs6A86TjK3E2FYMw5jzCzbd7IRpT4w79z1xwrA7gOSp68Linb1SGvL7pBkdGm/c1Q+Zn0bPMCZUyqP3NDC4lx1mhVLJy9D16/R11WujgD02YHDNXAquW1g1ZO1wJLWg0w8au6b5T5MPqtH5DA9C0YkCTdr/fU3mTxbkL79Uu6LVPIhfrFkNtoqHeU560ZkPyUbYqMTX9pG7EDd9L87NBz8+aot1wscnrjje35UDzAu6wwAmgz7sT5/QXu8puZaoL9DF7F1Qxv1U474mqLD1CTzua+tHWDvsp0gy5wneXgzR+MX6r/yKl3rLDYGSI6SHhiOGYzoGAHmwZxFts7MlJy1IKUYdPkp1B/RezTNurvD5I888nXRAen5WaZjo6Oy/Zjq6ZjjOEDvLK3oHLF+r9rWPM/VLkvjl/x8mW+ir8TDC1y364F4fX2323BO8CpQ6ZudlulzGtfaKBLuvaHd5nq8C2GEqXNh3muaaNp5CutAXsdpj8dCc0XdTPqmb92e0TKJ+ztf/ZoPHabL1Y64jLUljevaK9fZfVx2PcWw8QVyCtrXiEUjBG9kmCk0y/1q0xypXHB25WgN+qM9K9Az19N9Had9ROKxgZZKV96O/7GBo74LXU4pg1Jdc4JJaz6INuGKfSDkZ7zuIstOkn3rnAZfqHW5Xf8b1Cf9XOokZWGOpzrNprNsvhcg9g+qvyQdIC8l9hxE4/qb41D0DohFu/LUD11RR6YvwOyFpVke1nVxPOkcanpXeVLFG13JEs/IRp1Aj48GvUueB6a9IlcTH658jWRa6Ne+x0O0Gc7DslcFUm14XScd3uyZ2NegccjT5jqcsIQ89ZS6mvr2fSQOGBvrdX7bZBzyPuxfpRgFaE+CkOY84JSI1ncbsr3LhMH7pzmoh/riJ69x5zN9ruOuEgfXYw+iHjThdo3YarrdQReDwYZOV7MaFtqYtLARnAVhl87eC/re8nTOpOTwXvXj3wecOtviDEq1f8Glfbfo79Q26/NbXR6z3iUuvsfyxRH7e6Bs0+B6CcaxqK7X9XFfdTltfKWwlC7Td7SwpDDEscFlTP0irdTS5gW832aRLZEGXQHfHLqIPGQFserBW3/CHb9MDOmmYvoIl7iqJTlBPvjN+O4+8vK2cF/K/Jkky4aZ3rXnemGkGmQadoWElJaQVTEeqs8w7pQhLi6Qr8ZI76dxLKGkKj5AnxUWbIQwj9X/ZEU+HWIoY920s+j4WyE24bij4ctN8F37RA+XRv5NqZsO8Yz78ud1/KsOsflohTmuN5E1MrJuQCsZL8lxRiwuImFL2XHvdHeK07kjXLCeFgxElAW/mx9vx089XlSL5jbtDDBKFMRukjZde9Wr9/Vd2nCsoOza2SiYtc9XcKTmZMKQ+9ZJCztCZHBuxuvfLAFgcjEz5fHtGLwD0aVtP31aZ4zvZhEZztgmOgwRay/Rp/292A6a338E1w7yHc7i1QL4rtLmPcuKTd9LG5tn7oSNdYBMXKEf+PJ1GqnzdqX77JbSR2Q586KmY3ODxnoldhUAmqesm21BMFNWRUVsmbEaU2r27jR64YhY/wc7ubxsHOm++TrG9OfFXO42vkIOKUZ2DcOpWjrIqKMIR8Ec4s19OIwbICH6li2mDtax1XFetkH8bLs2NmWr3wD43MjGlzrdjoXVDawEV0lp/KV8fmFdpTphv4NyRTvj5QYW1q/uIoRSHxfR1N+wLLbkTdvfyg6KRta/q7OZN6IuYtP3baV3Q3mojuCX332kj+Cd3xHxKOJQSLBNP3wETGcPHU6K5/Zt6G7+/oIWl83MF3B9VnG58rmsknXJF99+pM7um5fvrvCysUe35SOkcGWDXjVZbNzbNl829sF6H2mq2Kpb9Fz1dwFv6CRCjYbHrnTOS9mdYGrSkXTuxaYNPf1ClzYlYWyS6zhM0udziEzHFOlRd/tc9eeswH1e6PerOrnu3bwoyb77+Gf35W4Bkl3KqTLFYfF9AwMo6ft1DVI/td4ytyD81IEyQXxDcbIUXbHJUYw7h2uuPGlxfkvNl7U1bUyZdOIvP2IX/E6qjryeKv5vbJfv1CFU+2aYmOb8Gf8EqT11H8F/NkqnHFeEjE784EYCR/0qKgn7CsA8BOt6D/M7/l4wM1Bv6Gqch1D0ftieAveNODQRTmC9wDfhKfaUyrpkGenPw4ZvBlMcVqXvqA+ekzoP8azqU/VP4i2JrhQJAXGFzHfG8F4UKUB9uH59vnl05ethGv2u9NDvsXxxxP4AiwIR6eqRl+l+VGTjLb47vI79TcwyTuG6AePt8Z0/dI2bHpgni3tZ9A4kkJVEPqW6M/yVYDMDW7oaw5JgJLEBIwgntKjO+8HqZhjdpbIYLvR7ug/VweOUVQrgnJEHIfwx5yPa5HfRGI1TkSKYA4chlCSczNIVsRUu87JuPiWzOCY64WnTP5Cv5fMx1Dp6WMQV37sbY87jScLN5riXKEyOhJM+os+CLj1a2ds4xvdsWHOkhxC9+ukkP6kUY2Kl1OlOL6J5a7QVC2GA7jqg8ZYUFxGRrlOZTE4/+pbLVURN2nj2o9+gaWI6rAo2P7Pnwt+AFaAJA0cOLxvuaaylLX9Rog0TDst8pXZlvmNeJK5Y+bwr6J7leRfFBGw0GOg47J6D5zz9FOvPUmp6ZG2Mw0/8qcwNHu6i5Snk+37He+NbD407WfGwXXtyVElRWJvf46OSnFTetKeATeV5TIW0N6tzWngtRsTse4s7YiePH6B0xynTGil5foZHBePuVd8gpwhmX1/+h2wUclWgPcd7dUPL6C8pWMykBeC7WccdRBO/UdwhIpj33Tj8EQGD/A2vj7o2+4Qj7pyJ9lgDpu8w4FJqOxnMG5mI8nqRT+nkqAa/ZwYgu7b5FKf/FKN3X1tdgAY0O0msFinejhMtTjILns+G5/sIEXw8OvzuYmCcWB6nloGv37M66TSc9nzt3h//RvUx7vkhZASMAN1ja7TjETL2PqLofT1q+bfB94J0zN8jskGmTAiy2RgAab5c3rFDmZZcHEqouo/97A9dNHJ2RjWKRL/c1wh+bqZ2RBcGWxxrqGHoFO7wbIrHj86EEuc34Rw9gB6n1a2PNnhYfxqP0dknHq7oAP29oX016Mod9k0UXx1n/P31+cD72XDaP/168Cyxe2jDgO5TfkcUJ/EhHIWf+Hhcb/KsGkkPozaYZgWTR+vgQYOHYTiVWb576YLmp8OL3OM5XTa9heao0u6OlovcTTrkxf3GbLhXPWTn9Ge4ObKxHpAcPJErF33Y+3Qdj6MAmZXuojKToIWdbldwZK6WdK9fymcWwXRqFlpLGQX8Vc9/czvxq8/djtdegVH14Bs9WQ9MGrhy3Cb6NruwwFNt1nT3MPIaSM7BRfF1IC9AkfJ78Ky8lpbvZX5LYn9pV3T/M9KP352wIV2l2sG7/YKAKyJZbtYf41nu6YZtuJDzAjSYviCSdBsVrHcAamlWZv208VtATgc/NnMf9VzmJ95IOuCxsKzEA7eFYPRsF+Fgtu+Y9ng/I3QK4vU7HAfNLcDlvzX9k/SdAFOnYLwWuRW4DF06j7+uqZj/Um93GCecdJ6ZgiPNBIg7DNkOYP2g9M/9BU7MMGLdLm16s1w1e4dxK8C8L3An52uf/Nz0t2lbkcw85pU0Ijqyc9iAxH86/KU0mXcBR5ditjFHmAJDVzUiULdtm0IfGJGJnu6zz++0AeePiB8rUmQbj5Px6PdGRhpkGE5BB0B5HrCuXQBhG1RbdkvvTiuC3AfRyeV+viCi4Di6NV77uGo0or1zG3HRCQutuKM28S/iuTHGCxoPhxutOQWSbhj8kdsrsAU8oc/JrOtTpp7xaNCfRzE+LBOOZ0+ad8M29G6HMB+5s126Y/5+YVm+VnwMvCaZFkF1amFRzvQpa7WRaUnme+J7sYa5nyIroq0rfNNc3sHq33mq3UHQ+TAz78FNnmS4Sft0GoQTn+v8xveweB9h2Rd5Op+YPMvxFPdLP4w/nNaxRcgP2awDJs+MZbQvTUc0bOt4HGdkjXOHbBPF2RvO3tC73U9s6YkjDfE57DZ5WlTs04boe0917SjNY5mLOle8Hru/F5l7wOwAjvcI+hm60+R9wnDUOS99b53JhfeIG7Q7fli+y+Pc8+5tl4Llyo21ztS/YxUTz0+O5Qv4ckaYWXnR3XgNOPFLbudyjL8L5Ysj9odYWLHbCWZ+lxY8skLb87NFgTeFw3/ndMNj84Pasz6WSNaPjOOu8Hj4GS+0Bks/qoGHuxPzy2Y3w+PfXl4A7XUANlqXtIdXw6G+wwmmKyqmoxWhXKpLRXLGsgG9wKr5XTVCrow1IYbHyldKMSa5vS0DTcobj1mWFNGhlHM9ou9Itcn4rYqOf0+KKzvxKn7STzJEwtDbzWd5tij9iS5H5aRkC+adc6X5RRmj/qaBOlJRJ9w3XM5lhYmfLxtMrvuQk9QdHcmBrrmdBWZvb0OfCsJZ+T019WId+Xf6KPQfeJrYDSFN/IwN7Ksy+Nsg7jTUMm4ew7KRLJgK5kGnPDcD5FOgnTccuUvRcJJ56WZMQ+cJ5WZMI/ixgsJ3ERORHKnnfF/s9Tx2x6Mby0bfC39BnpvtZorQv11fyO8iLTLBGc10u6OD2zZAXtHTbHDCt/DYFZxMb240M80zXTJvugOBZER8bnMldjhgkHdGmouH1SDHNHSYb3e/J9J4kdMPEAdIRBTah2NMBNAj3wvk6YvdeQYg6HOkI0Y4Xvlda3afLNG8/42m0wHbsnAR/oV4vm/K1nnOjqQNz6p8Ww0vD9rI29XfFDX8ZADKt5U2qP+04Vkyh8RBoysnLDMJmfMcXVjbIQ8rmLZxIqJxx46Yk/08ZZyYagKx+Zdj0Ix/85RjsIQu8x5ZN6h1HiqpvOuwSOqzNzzdkNaRGnuklLK0UrYpyhu7/nscsGJ8E24XeVdxg8xT+Psl21LPc5EcwYsMQjaqi960W6dXfIp56vrSfhjN+NUj7phNMpZxQbxu0SGveGZphw/lbPWCyv/s2WWmmw1tV5tiSYm8FVRfyodKnaukExq+bZPo0vn6onzXUavftsx1u8JV05h9WG8A0akbbdznFY1ePL+yn7dra/eu4rvKoR0ozAd0j5/lma3lSwcXkDbPGNZbXsfr23+qteX4Nf4aB39YbqbOaEwG83bc5V2Cj3jXdgO98CN21oYu/UFaCics42inh2xg3r7/SH3qe+EJVS5gg8cq+/wZ4R7Y4AsX7X1uqfJsV4X1YeCS/timSM9EE61IHZN/9FGesavLc0ROuOiIDXCHadv2BLTq62oDSt9d8aE6Nvs57HsFeO3bQfVkDxM4F+DRHsok/KqrX+oWRNe3vHqnJ/AzzY9fflL6vqXd3btKg2VcbJczPdZ9wYB30SVvkBH0M+29nc3JNv12jxFDp49I30EO0YdnShqHBqLLpbQ2D5+POkXmMBI+UsgJe1eWFm2MlV/XKRJs1sUm0+OE50NQr5/dyY0rPqOTTq5ociGNysh2uBYkh2kcliYexb6GsPtcdzSAp+0pA4ke8CDIv/sYgYisbqI4zH48jGbe7Cfs5+RvhA/v0wJMFsf8Dk8cQOBr44ZfBytokzaGvmxZlIAIaNiVJXjsm8rCIp+n32DCn/SxDZO71NUZ/g1j3PHr34my6JNXsov9U0a/ANYrNn8CyhdH7A+wbOXSDVPm93xyIEXLcCGiRZuGlzvP6h0+SndKcRuX8Mls48qBGcyg0d+hrMEcQya4aWzj9Ikxf7/ftF9zhZRnHJKe1cXupz4ujWHFjFDeKS0CePL4UMLSyZUK2/jZj8op13rLCA2GJSoBeb5rLnVmUqI6ouh8els2whejdzPnHI02jdMZGSQKyPuq8YQjJODEFJrRDiuea/8VPuENXKHfgXG/T0dy1HHEH9NsANWA/ua4md8k4dYE3QbiMItLya6uP5ACM8eq4vTsZC9bBStHxts/u6ehPySdDF5SZ7uyQ3SoD8yTtqzQ8FwA9KD8XU6mLvhmXqRzfFHq+nHH8AEI37V18c3cOJQ0NsdxzLMA8j4XHk3BMCrcMcnRdvzT2+Z1Js4rZd7l+NgwOHIUhzEtuu6fuWFqC4KdVqfdoyjmzNA+J1fpTk4RQN76UJ79Tu1nIxpFKKq+mRUnnm28MZfmgB13/dBY59BXhYwU3+6nX7kOvfcNj3iOSdNQNXrWJMeiH/JWCDDuzMSKeu47FOTgcfye2qM1PdZi5lnzvhT796B2eG1j/u51Y703Ptw0Po4IyyInWVbsD7tgLQ6Hw9oBnIL+bOF04yh+T0vsFzO5Ye0/vTwpIhuYp5eZlt0Rx8a6G1e9CfoplopWJo0qIj1t3RRd7vp2nDCPsfGqa7mbaCuf15gDjzy2qEuPokkOXR+fbNrik/KOc+NF04GnxpsxDwA5HMjw+8ndmPeSsSFkDmZ78i5gOhEwXUvauB7z0qAPwVNgdNDHHWRd8DzHyXXlE+1iqYVl0kxrfWS2END9T0NmwaJghWjm7A0qinf7+9N54Hk2/PjTGz79+IH+9QF5b2hP4Ph6wNzeJw5jqftdrmxwXegEWuba75vng0xT57Jv7F5pn5MGml87ENEq027A+ZXLHg3eGmBxRJHaHgLBFsuc1vuyaQmQnjAjGUUtemyKtSyfrT7rJEq0kgpnkrHDcNWI5buopx1QhVgeS5qXqjto/j30KQyemxy4XPdL+cZlHO5wniaB5zjIaHPPMmhnM14Vvjt20Z1elU2720OHNXKu0lVpM9qoh9P8mxJBznZk2pij75KTstBm6Li7AwhF91CzMaWs8924qq41eV+KJ7vHB8MbMrQyA+9Dsz4l/mzfMEcepHumS79ax7e0g9CVPEvW6DzDnnjrbow+PmDaehx9S335+KLdu0J1QoY7iGXjl/UzIVk8B4t5WKBh6j9Mt0Uf2pWkG1u9qFr58fLx/MfO+Xi9mzfCWxpXlS8kU7b96qwbn9T1AEy8kO419I/S5s3fu7GlQboNFRFnVr+ZjO0r8i7tY8eFbMbu9O3RsKZ3gnXJhrBV4h5CIF1nMw+6sQJA44HpbjqvgBAg7uUMUNymc3yKvfF1B9geg+a5UkyeSnOjRMPc0dzbsHGL/cRa1x9d+uTqHNK8+l7SstfAvIj5rP0da9nbuZjbS/1sV6gfZeCokWkTzvpp7ca32PM7ehA65ZW+JMjrqPQDwXwRzwbidk7TfKC8pb/nQV9Fa3alzeYe2ZmJh/rDpEftLeOD4ZMcCexI4P1WYBHR8bBmVqjOY6bNAM9pzfX8NvGeP8x87EoO5v2EuZaT7Ainn2U/sjlJe6WbEmQW8o/2tHceNOtTG4CH7fscGhmP0tyqrPcCd4E+M5GGblLlmM+lwyiDprpl7/KDu96S//3+/ob3s+H5PNCfDXq2MdcWDTtsxOKgl4u5KHCl5zLr83wFfzHaac8pw7uldJ/+CGTe6OsTU3+M4J06LU5npe8Fl7u5T+05PeV1cqX3XdnUCS7qR4XWxEXbLw9n8gLVTf3NGC8Pim66mjbPPRjfR/niiP0hlmACQsbDSuSRG9zf08JYHLJEjOlOGttwklPn3a20QFQknKLtOd/V0wf8HZ/hkxMRjVCNHYbDN7TcyeKbfiwwo5jSN9KXcXuwey7KBzSeOr7x0H42CSM5PqXNCY/WinS8lTFSmp/ga2Tcs7HhjP3SqCztV/npPhnHYWwICq4d5xQJqYwPYDr6SFjUjQI2atw2WNKaFUU1pcGtCmYRmrsNCcGEteKJN2X4/qD4EOV9gQ+KpHjXdIf6mJu5nib5+ITpwDWlUfzAgMNw6ghOY/hsejzy1PGdDgr4wYlKD94XOWE9KsYdssAU+lVY1UMRQYs+N4QnXOCacbpLCxk08Rw/+4OUn50w90emQEGBDkvl25Aiz2KtNDstb33x5vcK4yCw1owf8Xw5vOFkZUJHcpRw30lBMdypRXPdCXsBImVrPDNYxu9T4Z13Y2BEICpwNOA4FCe6OWOHAcRlpP/RkUL0bBala4qIpwcRO7mqsq4H9THJ5CMHVidZIAhzjZpjV5sOZ5HxGn+3NaCBcPBGmmd3knHRTf87mbBpf/vcne6sCG/gcydKrCl3CJ3zEwXRCvGveWDA6pbNF8VYJxBEZKbsxhTzYJtClOJLPW1b+S5tPPUhC/XZgKNDHqelDB6Gz2HRj8ehOA4k+nQH3PN54Pls6d2Vfu0GNMghF4ICMqMpfc17FKQ5/6ETp3IOesJbwYf9dJrrD038LyIYgTiQkSKsrW47MVItHTQglj06eL6nL5/PhyOju5x/IjlhAcP7AeBNY6N14sO+s7bmSWuTuZxCXSZPdT6lGEZgOIt9w9DrWxfd/3P+pUCXBjkU7asR5XpqQ3+2YUifAjSFvM3Ud9MJO/552mI0DaNcYfXI0Q8AZxfwIbCv3x94ng3vn4YTFuaElaegfS3TAY35M9YTPeNp2uoMtAb1sIMhaU1YVc8A0QA5LJ3VO8IJq3YwCIq5yWj/tAGnvTvCKa6hX/kVA0GHdsDRr2hYNgV4UMRz3EkGk2HNDX3SW6rcifSgsVOmSY4lnZIOgSU9PCGZcE0Hq5Y+AUTkhDv5/NAkkGwCFRmbFmxvUJ+1vS/lGxSZ81DnMuwu1wPrCfIbXeYj/SZ9+0VJB216/pvXcyKFHVlc0E7IyT7f54hP/zA3mg46UP/p8K7BJ1rAk/ldzajEqWDjG8b3bl2zsojy3H9VLLxgeR7wrmO9/M7noKzRy1Lr35XKt0E4p/6FaaDAscBJcIj/7Llu0tkY7goe4S45a1jfK+NRh81lkPN68TENAFhez+/sHeulF/jOTojZvrf7qijTYsvfVHtxS1uaf35os1iQ19UGpiqf+GeiK5JDrkrx+9VmoW/T+sxz6/S28KEyhtp06IywpVodWGGDkj4iwExLPAEPxxa1wbbhfEiKIhI7GO860N0RWzbKlPGRBjK/Hwfzp3qT2jbiFUVEyS7NEV6V8Ub6BiFotFEzl5Q6C5yvCn1zuadB/CCtuVrf9MLq7GE+xntVhR1lmvA1dwUX9++0cMWoMegr+MyOHyZA5ru7OfFDmVvQiB75kC7/Hod6w8moqZ4YI51X4SCedWCmzE5jdcRWBo7J84GFFqMJfnlL/4X3I/9+6WMqz4O/BJ4pzbKLdbY/aR6CJAVxMCTBdwF6ohVq+lYuGI1p08GLDoXYNUUha70qtaMK6ClQDxUNo9U+sICFZUEUfuZ0407YJuNw76N1u7ZA8DyP4bD1w9uW2SkcsrwuN+Nb2PJGt0l7/zwXvK51mFUpPfBgshYErFPvIDKNrRBqm2XY4vR8Rcw8PPMHXfqJ7Pf1ww0+LvpM+1r1fcUr/R57aNz27vdNuTwQSvhfimDam58jK34HyxdH7A+1fJCA0uJyprsjUFrkoppPtXE1co7yt2lTRLEP/xZT7v3ez15CzEPXXGH279PzXX0uTQC6d1SA+TeNx2F/yYg2Y2EYa1TFRxjkVHTEPtFoa3viZYN7hpNT9C339dYh2CZXpJxmxe8j42b4Hc4q7Op73tzzZ0W4uWM/j6X0Rwy3scArMLwUXopVQBeFgIVtfE7wK6ZQdcM1jaluJh2+38tSPvcdcyOIDd+lPavrUa/p38FtGV7rplvFqeOF6MBPNW03NLx9xz/Pg7dFfSkwT/FtBPpWEdS5MeU6dhzAr230cgpSkBTiZPhZumClccSvOsc9YJU5TqYXXis7Jc3nghypEJ3RZQS+qKXv5EkD4nShK6WLs3aDMv4+cMg0LmOAKgpRSSmJQ+G2xqXiuOB9MTpr2SlkpHAOhUmm83D3Xf0GZS5pDi77llJ/dyLd4fF23Blb5CavfbH7NaNtP0jhNGF9G1rHPBzUDjEUUZ2pvW74aj0YELLNHHF5oxcL7gIffnjAPurdFqdV7l3Q+xHONoBPOk/gH4+eTy8T8MlR1wXPJ+KUK4DhmFWZUbBuQNlBBndIhoPJeZE7572fYmipOUl3B4AqHhINl2hLp0tRxL02ESnG/LPcDcs61pivdXGEowvlNU+ilOhGr+LrFJKiagMuOrAgOnizVNkesJoG9GxQVfTjgHadTlgCX4PePbq526l2sehmRJSEywPebDnPNukXgOKwe4gPi7ydOJBTUvTrWG/0PvGQ8Xfce1/4MT/j9d9O4j0uI5G/ZQMZIDl6GlqqboFc12GbG8blMB9lPLnS9ZbsHrqOj09RL5syhb7S/Y+Fj4/fC/1EHxs6XqLkeHCzrwmOzvWeX2RcypCHuzvDvpRvVjTWgC9++n0nq71OzZAi5fdoP8/9xwHDdv3clo/U93YVSAcBSiagyERxsw5S19+QJLO+KJPnlDmJn7Se5XKNZWCq3bjjg7VuvNrJo1ok19mmGQ+SukhLXfXKXR8FzmRzLfLS32nao9jJ1mVzM3SKwn/t291Ge/SHqWPtTLmXZOLzr4SSJmNO7aAjz33Ym2UsMbyqN9K45zoYP7ebyvxvc0iDda4dXqPPu8jkm3K3ri7f1T7quEF4q2uCZU6d+/hQUjevAnmuFx7R4+JV1lIJw25sGNFndphtwjwsxXlId2ay2cEzsthogl9lczOPt2Vvpu4na/pVmQfunKbu9Owtfn3smtMR7+h4R0s73fiy391r5gVe39uu4yEZFctJ6BPWo4i+gm8RLFt7jH4uV23sfme80KJO/NH6l64zm9/dOnL915+ZebZcieJrwsbv9Mc/AdiVNvM6pZwme/w8y6Hx/Zmi8bDZIc/uGZHSWsWCewDbw+J1yQv/USvtihLv/0C5cgLmudL9vC8fJTCW/cFUbYOfyHZGtB/jcQbP7wALapCZ8alj2IZtXE+zA3lMhYTjdlQa0REe0R+BAexzaFiiaqsN4Pbk02jn/Rx3xJ5ng763ca0NZ1A6MQONLvkQyYid3CtrILIWlEGrsW308Xtk4LMgFH+W9iZ83e/ohEXDHQ+0+d3qdIJLP4lcZQyttMP4qX1TX4teosD2QK3ZdotcXuA3Wkibn3UQL+AHyt7Bel3G72b54oj9IRZBGBuxoInPAVhPjimyc5RpOm0a+rPMiVPqNz5FXJlKMHtbPGXjZmxuGsvnKAaPFHCGUhjHbtGkNFC1xOKFGQhqTKquckynQ2VIF0wPbTi/GC+7E5I7BbIysbop5zd3uEPNmTgbgDtGC53fJGe5TjwppXVNDJOYUj1hkqJnrY+9FoMZwYAJQ2+5bkRIk8KZDGAAekhEmnr7SvXZeGqfZhoIV0ginWM0iKDbFLXBirMz5yZbZYgFzsSzjRnUlq+P0j/PUX9Y+g6ef1s3zVLx8foJZ4ql5PJnsYHjUdj+rs2UyaEEPApc/n3FE4+XFVobQ3KO8+YVCD8GD0cxOd63h5RozTueNfW5pmbdndJulb8RXmOOfYPgGG1ECpkKmCttRO/uGPI7C/tDoW9Ijjcfg+pwuIZDXBhBg9/E/So6TnhO5wbQjjOM53qHCt+lIjZPNWjPFdduCNWzzXkSmCNaoF0hzxY4H2lnSKM7wcsgOVE8AjMpkne8DlgO6DQ7ERmHBzDnyedFFGljJ5xi1G7cFay0Hs/5jSNHFOEgX9c/1Rdqz+Xc0xrylFzmMPQJ4AMQ7igLIE/jS05zHEFtEZPj1LImfLLREHLW8eR3QFqUckTP8klLX690hyMCBwaDOeL6czjJjmOkpu2WlrY1BR4nRASHGV3nOdJiPx4nHkcfd3w+R2dsdIsovnqceHuc+Pr9QWmL572h/bRoWE9PfI4xtXcnGvuhiOjPmEOfI488dwdteb9sklSdwZ2GJ/GfpoOu2sBf+2QyzSKQgz8dmuhMiFb0oUQLEu8BirB8m7TmbTqf6qah+0l7HsOYWyaWObfdad2+a88B+1nv4FEB+jiQoQrgFJwA5OgzvRMZxk4rvlnc2jiVrIelufP5pdPqImMTcThcBz3pMaL239+PVLc/B0OWUyBPWzOGjyRPnDewIxHO2zB5LjJPCt4v81s8ZEbGMh6Bucb7nML+mHOhHebY8Umd8EbfzeXT1C+YJ0UGlZP4XZ1Z74/5qz0PNfgAn6OI71Qwnb0xrhV3nop4Se8KJxWJDRWuw6mRl1LhgfPwKbCS48SdU76BM0d6W36S7iD9iS3jRMTUU9hWUCxOLC/L/VXA+jvRM9sX/j3wgTmqrKxh1ctiLATbpt1kh7DslPx9/K71e8R6iFKzKTF57mQKl66QNo8rVyfsOq6qj4zsAtWm3NqTflDoBhzd4cEf+bcXdbaHsau+4nQAW8vI9JU2D3fwVX2f+Pk6V+tgeZOTnZjML+tzTrPu3VxuMjJc9QC2fbyLNo/XtAajM9bPTCGoNtaQsZrrljYZBi5Sv+H9ggJT2Jgb2mQ7J3SzIjNcNoUj52q+7/BD73d2Zi1VPoY+JUiZjngMSW+jdhab1Nvss71LsbSj013d5GHffNMMmEfPTthdl4KIFlwyONo7tyM9W5I7tfwaG04h28wpdC5Rh7CDdvT8nIhf5uYlDvydxg/eDwGQ9yKwmeer9n3ueP3UOkQjC01X+Gvb6nrRxdhKe4uMqG2HTL7uc/u3zKw3Gd/zCjDddljalML3gWRPpSttFg8+ijNW0fuwH7ODdtYFENmXZgQswkb07/iKJT8QfJ4Saf/yIVPnmZLXbeWvPH7J76b9t6nv1e+X43xX9N8r3uUZ3nbBPEzvSnMkBEC3b5YDmx4g4u063SrmZhzb0aCfIN7YrV+zSyGAnmPO/JqaOl/ax76WtLEIx/wNA8ezbT2Phn4ew446d4LUQLRsSl3HgV+nlffzwKmCT88H3t8P9PcGvMvIpOSO2HPsM/k1J0l+B6I2k8LrgNZyzMWBmc2zrOte+E572vllBZpurrRx/tTHxF46R4Flv9zhu9OnFt1aZj+vfBhj7JQ2WXL/VRd13TnV3ehnr3T7z33HMHq2pctAPwVMo77p7PsrXxyxP9AyLoD2xTQXUYq+S+FgiEhULtuc2lX3Yidsrc+M2vkoGzRVwdwoLbcRuht4rko67VKOB16efrhjXldlI/BeGVz8t93CND+9UCxjA8SELyupyTFoQtQZ5quSN0n82cr4v+mJETa2X1feKyd1rOMh1k0CayP3X9osNBgKi+b3d0y5boCEglT63X7nyhNv0vrYWqYRV6gAi5BjR7UUB6z97A+ktIa7jZ00fv/1WtZn4VnXiBsvV9/bu+X9B+ghrYVSP+HXlO80tzoqpQ2HK4W5zGMonyWyThTZsGU6kPl9dEkKcxjPBFst7ni9Wyw1tU8YAa2n72q6Kh9mPOE+eH5lKiRx51H6cDOXi0dg1ksbLx9hAr6uN3JAizG024hUAfw+3jSuCh/TFk1NNTrSd9xv/Zvb3pXSIKf+XkpZs7rZeKnf1xPW6r+ITMPpGpzZdp+/R7QqRTOmNpSfm7K9Gw4Z2qcKmjnwtu0p0r0p09rcNH51eMRpn/giv/cltqB+M4+xth2/N3wyfWPtjHFeCDWva4tk8BfNPJWJ0uaG6V68LYcvWerYDBJ7uvMmzGsbeskpUG0Utei6ptpJ5nHfa/O7X80YH076Bu12B26Vyz4GHdHXvgmI+Cng+4FlQwtxQONiHtJme1m7rifdOimqnPOPix7ih0e2eobToJe+4j7JuQveVsvSRkRLfYBAo19ifBclGfWM+7t+iry4el439lM0po3lMopugfNj9b6UWbabxjS3OVXZd9PnZYYjYG7IbGj+1lYlekn1Yw2tDSZnbOWToU84L/6MwV9VJV0wopEI/zyeajNtce8Hvlxfkvw8+gLxyB1/qrBX2Wd16/q6tQfv0BVLnHTVi/oxrir/y8+xkTxlYHLgVNAunl/CzTrD3biKXNqVkOespxEd8Ma70j5L0oNEbQPX64/5jiHRHC568Xy14b1YD/U2LPZlpdulLUbJxpHA+svy7YW+snWq0vdVT9rCo4TXEP6bet5Z1feKXM5t09qosu8VzSzrt6x7tfV8pctV2L1p3Tth+eeoh3SYN/RRrPQuovMqBsqc5vtX7pBNey6si/rPqtfy+12puN/Rnl7MjX9f8bud+1JnA0Oqezcf1sbCJstaWNreyKErOJd9P+7GSViAsA92bd/pmYGPSdur7irjoLnR6U4s7A6Ls5NuV+o7d+ju3s1viO5t7aSIT19PPrQd3i9oKEivrm+QbNi8i48LrVceOGn7ta7hNkvaa1oAQrC4ZR3bO20TDyGzGtXXjKcYno4DQGqOdW0Yds3Z0PsY3Djo4XMh6Crb9NHukHXHunpmzOSxHv+YblRlRE+3jvdzeECffUbC9nPcDSvdDvLawVY/7C9MEwXt6n3iZl1UWegHZXbf+GK0A6+8J5F0Xkdw0QeAfLg1oWZLAB8oG9rnjKABx9V64AOZpV7ec903UAPvvouyXFdS319Fvr6Sq99z+eKI/SGWYLjTGQvAFrIJHTs16XdNxqcN4y5XYEan3izodlo7j1l3RutZt+yoNak1FE1JjAX+TDANU8z20vjos/QzCbNyAoJPinJzztRZ2HCftQ8AfEq0MkE1mD3NsuPd60bUnTvHmcEvSrsi8ntgCtsEe5vvAMQp1jUl3IqneuftSDtt8Jnzzu/SdfguTzxrVgTY6QIg7irjb68M5OTHsYjWiFQ5dWzIPhB3Si64ZVyyYul4JEWDn0fUiUXNeiTdpYBmQenwmlCvsPG4QvFh/HlbdlChPwB9K8qnzVd7x4i6fMOaFs7a00MCbxHhVza1OkX/tCfC6A5lCjOSNPDUncYRhyq6RW1FJA2oDp+osjrLvYelhPMzrQX7uTtJXhSV9snWp98baspfOwF5p3auivfvdG2beM2jCz1iEHN8OduABj5CQQ4+omNt2Qs/naln5tUBitOdKZ7emMJSP2Ea2GxsH8ck2sFGFHKY0loVYO8rUsBOvq9vCqiifd3Gvbbh/LebZQy3ogMnV3xuWW9lPbkzJ8FjKJEuOD7ZM09Lc8SHtvE2YfBIQb6D0/EWcDL/9a45CsxRwDyWFO3Qj+Ou2gx48EuOMvQxV8Q3+n4iJP6uaWq0aGbxvqQTZtqNjkM/wEUIOjfsgwbaMYypYUBZSimLzHZd9vkczOiR7pNtyylmAGE8P5/HuM8YiIhaVTuZr5h3w/ZhRFe7lOlK35BSDAXa7XRqyEs6UMH8qTrIxJyQQSuUNYC/j3vMK/rqM4OdMxLM6EOL2G0DAc7DIktEyiAwaLl5ZO2hi5ypp0orWTGMHrU7ESahAwkw9BdYpINahKfXdV7y6ONeoEPx9nbiODq+epx4HCeOpji7oB8N78cBVeD9/QgEKdGZqt0QYfSrXaBfH7MfICJRnc94xgM5UdbS+JdSGnekeR/4xIhkF5pLjwiiQw/Rrh/0qc9dB6owOOKtbn8MOm7vQ98aEcAy6/lnOn/6HKa2WSYCdv/vnOEGmUu88KD6TFSvcaNAOOJlrbMU4jfaMCPVFVh02s3hzWocT12WNgbqZ5TZRRtSdoWfpDRTP9FFJNllaaPCBV7lv68c8FZ22YZCFlVaUkzb6cCSKYPrLV0WfXPbfl0LuyEsjBJ5w87vXMaGz29KzQaUmiZH7PKe+Ma+4WlbJrtJc51aqt27+3axb3ht+u+sWzi8oGe60sg4TIE8zvq9k513x/pi2lOwZ0UG7+Z8wW3gnH4WvTSPo8DHY+D6VHeXQcDhq7Yl88Sww4z+g+VbvzNri8+ByetzRNUkZ13g0n/RKasKnicMMmxQl4WSr7nhtKQLDgkPCcd+GJLWc7LZgTXSjPkO4bDuNQROQHgFtmsz5tb0hSHzJbLGOB7St2lclO2HZPTc/9l07HVdz7GN+lgLPkz+nQ9iC6Zua7rp4ti7YMUj8nC+3EUg+nmNcQVEQzumM6T7abHqDDt0XCdkThhFG5lrDFYVv7/TJrHq77xOfD5dP2cb1R3C889ED5FZSst7Q2T61rPaKL0rWcrYkV/5brJjqX4sw12xd7yvUh0/FSeLPQLCj9aHmHbxIlvWb3xPiB3Z6uMOPqDr2ql/8wIkPgMV6LMNe/SrgXAtwsRTEnOUbDTLdoHV5chX/r73DJirl8ESOZtSx0hL67KcD9br5MkxR5jvfJjxgmyBBScOQ5WNrl+7c7PQcSqG/0vdwujE18lYcgo5Jm2nvomHLmvQx9BnvXa6TjLmdkurPOdimfx47jpw4hgHdL8abfXeRoSr2px4WnWZtOARrscBi4YWnKD9AAASB31H936g+7QUQqqCd7sX9tOnB/qnA/jUIJ9GNGz7NJyxKauSYuEVwWNJxgEX60zmuuVri6IO89su83olsSyBvB7ZZlWkfdx2jvEdJQOLbODivq+ctKuus0aLSvlOGR+OEzjv1yQTeRzMW/27nf4fsHj1S+a6KUz/wDKW20/Nd/KTZDN+ccT+UMsHaeiO4L5zQqTF8aFTCKRY3T77jkp1qn7XbbPhtghY3pgSQOKPrFxVQeEKFL/j9G28aeVO7q1zC7jeULnBeTKSq6J80041rq8KG99RVYElbYDjYWeUfA4Zh6Kiga86/q2g2yjT6U9ShtSMlJ1OG4LUUz4zTagJOgU00hAj3SHH/XZLrxtO7J3zkxWpUhY6uZrfqvBd1dn1w8L8ihZezN9OWY0/WXEryrTyqTNc9E+KQ1UotuDS+k59XcCdXn6EXsmJZfpSfDhPfooptVQ3tfki5cbufr4EtE66JHB5zHfr+hJ3d4WVN2ZiRDfbTbIC+5zDC4LboEX3jzffrswtbU59gI737eYhTwVY85g2OFk7+cAYCg8VcyrHSXm1uzoPmnudP+sJ5xTwZO8TSDTw8c2k5eqETYbkZpwqBc1MD3UOvoWslx3NYZXN1YD/iOzwuU5Gk4+7k3G8G4PQ2r6jgZ2ulZuZGxmAnSyVeCgRoaX5e8N/a4pDFEfrI42dmJ7Z+ki9pDJT3yX6kGiuWz2nATnJAVzGtt0kQF43t+WDsmca0rYe6IBTpPx02b7BMc+/r+PB0gSXjLHQ0A6+y3Gqxvq9Kx+JhB0VJU+Yi4ML3fHuNPItY72SyR9mxl/Kd1VSZNd3We5ora67cqgkVb3bNLG1+VFe/+oE/Yfa+BZyZd/gx6pd8YDleVlbdzxy66i7gekj/HY3Vx/aPLxtlMRC8KR929tx7OR20ce3dnORRQus35YWvP2N7HAZ4/JmHKqf17TUQ8/cZuS3YPiF5kawRL9qffYBnXYAixW/d+PdffuSpl7QyQ19+ev0+ZWeZvbVlb7xoZLoKDt0YfpxMlMYz5u1mHRqV9R33ep0xvISnHbi+k2KUlw2n75BqY5n1ucD0B3wZYLp+0ud+tvoCp85tx/hjeld1e133+14NumMWzjLel77v5HlRndbvrnjk1cw0rsdTe1swM8tOc1x3d8A2aO0J6KA0Hq7ckrVMbzc+9vB53T5DWwPlrdS5jLR+4YXiE78KtXZ9bPCQTKhwnc1biWS1mI3Ot5P+1Xt2pqOmeGI4SJHu8iwH7sMW/LcjEl8wNa3H/oGzHbEuCJpHCyRCDLgw6ZBC5sDywuPecVPqky805vEO5Ko4+MTa4ejUXnO+QDX5/gsPqyX7mTb1bg3z7e2oK83Dg77KDwfXUebPr8p/2cd9XfKJ/Q55Ysj9gdYtAn624YCFSOaEJPx+H2ugC0gNio4tQ8bqKRM7PKGaxsnCoTv4jQGEqf1ZSr0DIeoRq72ON0ImcyTNoz0kJmDndP2VPi9LxM0oy2LILF7fa6M/IgYpr6vFmncHyqIyGM3blxAzROOFA1cBbHXcakjQPfoVDuFPVNNm3O1Y8n1t7sAe8BvzRqjijSVboil6I5xb1kvJwYZVh6COK0YzkUporIYdnwHWVUa6sbBdESOeedn3R2Ninnyz9s9gNNSbscdnhwB5Xi4YLZpb5QFLa2BONUEF6AYJyxJeC/pnEgBqPZFf5vvrjac+1eS3qV0m/7M4PTI3GiTdKA4BUYnb7cbUVXZs9898tDxkOo6Tg6Cx187XmT+DF2D58/5Q1txCGonnc6mvsU3Kei7/hVS1Nxi3IDmhNaPOuAyI9eSE9lh1jIV3Jaonfilwfk7dnKaI1USUmZXp923+Xg70R4ahoekb/37VVnt4QUY79qhwKE4f3wAT54oA4mds0zjUKDLOInZ7a5Jonleb7O9YogT0v0EoTwlZI5H/21TFNK6A53GjPtfA8Zreor177RYuiAU5ruHne48MjfGNxZInDoGZpaBh8tfsTo6TyanE+ArnYdeKYQ40QyPYpzyV4kx97cpM+Nu0iXCVud4mp/WnMgQCPr/e6AfOk+wAjj7kaJcRRQeqe33+4z7YhH05hs7furVf56n3QmqsFOzFgl5jjtdHB7x8fl80PqKO7ll8nwAEQ1bySfhovJPi0yt/B5A3DkLAqUvdEBwbfQTIMuNWOOURQA61pRylK/AdKxJ0+pzp+Mj6UD72uA7dMxphUcwIoiZdycE+M+B9/ZpwOg6kR5jE0S/6pAfdcgx0hFL62PuVfBoHT/99o7ffn8b9/dA8HacsSk47oU97B4oY4NdoOeYf3x9GHw2972Nsb3PyYxIWJqLhN+dbJdSl1lxiThl2RH4tgji883w/S4jGvUUtPfSp3ibMq8fOAGOQJ06Ksm/5ZTwZMA7A1zFTlW77hkMY46FcRIR4kDSiQLsvsGf6vxecnuxTjS3kbJxAFM35u+wh9WfT/2Xqlw55wo9bzO4fCm35Zs6JGuatfRO6yb8nORFp0P53fWJs/zdAXc4pWxPKLRXN4eC70qi2UT/5XDC0kYTC90va3GzFpZrgHj9tomsdDds1M0wLracP1Og7kiHfu1/E29j+4thoyHPdtpmHW346pUjchcNfekgZtiv+mJVyeSGq85bfoJBHxE5JxM3qS/D/eDl9o4zDhG+FCRHye6sOF02z1nmI+sllR8n25BtcNcHbcyqAA7LxtxHAFjirQaT6xbagO7rJekgpEu0EQEbeBFEhqhU6jxt5MDLovRJgTlkjcEVeOa6vGauuvA2BJP42mY8VEIvd/m1ccIKEIecF97n9EB14iOeY5L5EcFY17lt2KjZSbpRAML2VDu0Zo6JYDVHJ9swf896uUq3+zaRImeH/j6HoBzdxkhzO6wQuWdScp0yjc8/v8u0cUFXq56CcWiRsxHxa15nN/OvTHPWbsBa9hqSE6bAxs7HWO9JHxv0OPejxi/bvRmy+WR3aJp5K/MHne+WcTbMeWP90/XERjimNmo0dsK32Ue9CxoawKlpAYiIZUAyurZGVadtOGxI2MHNTBitdTxaH+auz4HCDm9aFiaPhj3NfnSbkA/nE8iZRyB4ED8PdNO6jb8l/y1cF9SG26O0/7fLDBNbAkSvSZ64jcqfefaZx5SLAQ9/uym8b6vUbnxXdPll7P57l+B5qgBOGUkQmMaMp42sagNZzpcOUTwsO1ZrHa01PK1at7TDYumLVWF7DE4vgudzLBqPvu3PZnNv98N65sPT9qfZPie5k+wNIV1DCi7LOog9+qJfJHowWeL8oD+IV1jltFcPZB4jgLwTDytrm9fsK2fiwj99SlSnboPSjmAezra6TBfcpjtht/t+wPT/LHuFVKfK1ToGrMFZgOOHDmuGruCTc93nT0r54oj9IZZGC8RKpOjlDTcXGuLK0UYJIoHMhu1HSnJclgW8/+CibRNccgJxP1QoJi/ugWIBsXstLg8mrEsapcQIZV2wzAAFseB3hoE682JlZjde2pTLKUpkEbyhOGxKFbzJGSH7zyL9gaeYJuFcx70Y1PWd9ekOXR53fMf4rMy2CjgeM78SIh+ZdJ7SwLjOtyMXgvtWaAnNhXXoqS2ScK6Ite9SCh0fX1mTIXw9FSW35coxwR0Oqwtnua+fbTov4gHApLVLHJRxpk0dIAlanmfGVzRFym3QCnI78R2QHZ/cVmEvYajoVAbR5ngVGPeF3hl8PtYipAed6aL0JE3+4kTY3TqNOhVJhIj0qTsubKPET35uEw2Ycuv3Ljqcg406E6JUIienSAVm6jPkCY7DJAppM/ZeutN53njdDGkD7OiqEe7XDTt/gUQLPjdKKAz6ZBrxb+qhDd78mGi5lEkOQk1xHVNgGyoRIZdeEvy1DuPCndD0ycui00kXfQq295Es/DoZ0tSmpXRCF+BtADsjyjVtJgsmPXIabI+mBRnU7MAFMJxwKtAzR0J6WinfpEgblD7H7oRlJAUT0vyO+GzGHeFLcZ2+XGVupAGrg576io0VYE/H8Td9lywqzMM+imRgrW1O+PJhhFVOa7Ph3srccqe2I0aAOJAigBwd0hDGsZcmikPGhsmn8zAjeyLntBTXY33ORaVnm5snJ8FyIjZUEsybhXErwxKu6odzmMsz/4QPBTUdrKQb7/dMGhPslNpKgLjugQ3sukGXT9dshlH5ImYfLKeBLI+XsbIuUmWaEhzRcanz0VIEVNpceFWcNNz59gEn4Zf7YT+z7Ois8IPvKkvS1SHR+Ptm6nYRsGnTixz0y4bhFfjU5679W+dAAoR+hg6xH8x2/X60jxfTsMgi1ok2Nu7LLmvGpm+ztEh3/mhbr3hFev8CP1r6r7Bxm5ebf3pBpnoznjonL8qlk9rH5/D51AjsMMK6tsQ3xNXrEQ9l3NG7cFyj4KvINob3kpfznFzJpDJv7PjhDfDUN9MRtZ3Kha5XVKz1D5KNSe/UTd2rQvwg6azlHb+PsSbdXKf+4E6zqy51Td8fJJNF8GWpTtqaXemz2Eeh42V5bmjjY0rBRR9Ycbk4TXZz+A1EW+jPlWau4NvxgI+M1em3Os9lBXu/L0Hv7mQgzGb3b5xBV1uePUh1QrlP+zfmwK62cIcrON2w01duJrrjfRCZ7+uzdHZKsUZeqqzpsSvcV3qyFB50twZcPoQOYI/vpnrX7hXNYvPcfo/rdCr4r2wB7q/CuptjJV5Vm9E5F3EgwlOWe8ONmDt/K/OgSGsd6A3adGZQ6hrrjvlSNx2td5kHuU+JOXcH8KTtObbASfD6LH8Web/RMfSKLlhOaf6srt/QTa7adv4pN3NY2/8Ir651FKiHB33p7mzOJMuAJCdfOWFTOx+EbXke6+wnK6Xwd1W+OGJ/iKWPu6dcmeYo03qPEoDphKU7Vnij4zZCLjEzVxZN0NrP7d04pb9dYUMhRcRSG+2p2wUZf/J36USi3YHmEaa0eNPdso47/0znqYuAr/l4yxjLN5MBWduc+vau6LiLN937KnPehoFAior153fUVqM7GQQyja1gZud8F/U5OkIQp/RmGiRgYZCufBwweGb/CmQnoxsZ/o1vrJjzICk1dtevO39EZ9RtjNHh3URKLoKABUSJ2uAIq6jL8ilwMx3N0aw5RxlP8b0bwpvoAXY2at0AKhHg3j8b1lvj2PrsNNeq467ZcEi5zl2c2En4ytq+P3f03Dmjg1as8vaepPLNYvz7qdBj4lVgSk4HIIL+GA1qH4ajKCxScJ3/4eS41liSAUe0XqPIFkOa5jGNxyMONc/17JD+pkXDj+Xo8e60O0r57pTxfEygny71uzqHMW68Ok7USsCsb6Ntv/s04KZoAj+Jm3yiNFdB886vyaGzUyADd7H+FOzogfj60pW2SJFOm0uKvIFKsFUDJ9YIr01gyozKP9jxRlFugat6cpT5h2BE1B2z37rpxpuFjjPx9cLy+HI3iV4xLqyhiOItJea8zwbC5n7auNFGavRDBx3KpLmhc48TqeP+nkm/x9GTY/Y8gd4P+3YMSppCTxknWN3hxlkDWBeosDP+YE1aJGiiZR/UlTOHcL/L+DGc9rwa7aHkeszD3emWInSrEep1SmQ089arjRU2fNN6WSKgJMae5d2EMfgkweH45PXNGxvax/1Aj0fHcXT89FfveDtO/OjxHM7Y1vF2nAHeqYL352F8Y0TWdhX09zacsE+ZdzrpiDKNqFggTjdDx0niJkD7MeIO6+Uer4K3lG2CZRJsjkg3Gbx68F992L1Ndve4HgOXnWnMDzwIxhq3e464jIOSdCdrzD1eO32Y7xJfCPh3spR54+7QhzftOp9v5PjJYUVkY2HDe0aEOa/wFwRr8MWsA85dM5ltbhZ1RONhSKnpHBiDj3vq6YqGgX+XUbri40vZlkW2Ou9JDnSdzwRhD9VrUJa6l33md7dXpFh/S2ad0vwSLc3y3f7e3he663azHn3d1Y1Wh58PH3/jO6cMxpqxYcwR8WbicRVzMZ/ON3k+/U5B15/ahHXLP8pYl7n19VvlIPVb4a3VUpeE351ts7SXHk54BC7fdMgUx5PQP53/5KpdqxfsisbKjv+JS2r7As7FFullrDzn5RuWca5/D5YokJqFyMd2aqwX5pcxPsOV6/tuLya7vJYd32ZdiXC0m+sUucN1WDXy9otcj7ZLm1eOljoHKpg2uGBGclV9TmV/0E+wDkqpHo0rdIJ60FlX/CYHYupv2j+iMqLW7PCiN1KdqA6mD9gdFo33+Agxbi/Gt+JXjPjhyk3jHUNvI7thrLPh1uOoLQODomyR6OUjHobMb/drzeVRytTlTXNACdMZ4R/A9vB+rE8fo9JYKm0UXhO/p/YyQv1wc7JV/XfepzAii6upiizT0k/SAd1e4zmoYyjEzjYYz5Hy+vH3tpagRlsd6K6vIdOoquA8JWVHAuhqErdDyVkrYu97S7QbdHpKHOac0bCSeCbb5uooL/yc54D5UkLNa3Jd9h+1G6+udoq3V2mzyBCp71kWBb9ShIlp/8JeMFvF91eUGr3ci+PxkFxd5t55nlVSHftdGkKK6to+hDSLcH50tNbx1eMc0c5NcHZF6+OKm67rQRA+9O33W48IWIGGHWk05Fm+dK7tsLl4HDwX0RGG7VTWTOLZtQ3vrvB1PGBG48CJMhwt84yJc0e64RRDhjed8xbto/AwnisektPHwoOxyNrsN5g4WTPHEH7id4tX1dJekYPxawnw2ZaF38n+XYXzpqSsO/7sA+v7d7p8ccT+AIt0hTwVeAhtCG+I0BaKE1448MrF9zvDijdGeFMmnUy2lLAexQdPcdENHsE04qtRx2uKnakMvjtXQ7nbrBgfu7ozE5OTdk3MZVekE1zBQPy+M1kFaIE7Uic77MkBYzioBlGFwRlW2bSd7zeKtzkGXXkbm2ib0P3A3eyLnfXeVzxXRLvh/HNacXoqjLumNa4bh4sDxWDrh+0D8qYpSGiyMlIcHrHJTHK/H0SjRWiEQ7WXOXEnq9M7RVKG8RgO8YJPQcYTfTOctGpK5cX8C3L6G54vd06c1NeBRRHwTZZw1j6mRucCWPkT4wfV4N5uSmze74R1OMkcNn/+dPwhzyfB4n2lzSgZh0z6Y+BQTpl2s7Mj6suV7hlVJtEGgPF9x+JIBzCNpDKvnpp0q5zUMVe8vcClN5ZONrOhDQxjHrZZblFlkGxA9zgN2oejw+/JACB20rDHvZvEdx8KPGH5zTDTbDdLnUR3dS4DtzamA9WUZt8EYwRVxKlX9jWqCe8R7VqcYzGnjdL86vwZXTg66maSD71Hk5bmGJOZsWNVkWjZDUN3dPU3nYY+y6cARCPFGxv66zphop7z5E6hQCOvG6Y5WlNhnPn64HR7/lOxPy3sxofKvI/M61gERhjP5vzvaGZsjuetTUfssx/DoNJ8bl9kpDxWADBHrPCJZswxOFygKYrxAzPK2GVScbzlY+yp+cBXMlyY53s/h6Z5m404bjA3nEQtuteqNMNj5RG2acGw7IyKnQG+yB+LSp/vKd23sROOmlXja4EvHkOz5esbgd69RdoMvqJ4PE68HSd+9qtP+KqdcUfsQzreOLWYp8wrc6vugI+5H3C2p0Deabx+QMvG0zFs+vbUscHMskbyvLqMEMZfmyhNMsm/6Qj9VZt15rzkGOu5PxQHrx9fsnYAKq3VNnHGcxq6MTD1r4EopJKE9soHkqPT2xKEo4VZfmpzTkWiz0bXL/jYalrlqadi6vkMQxUTNPTtuFzu899Ff1XIdCjZGKVrZNCJ8sq5/aWk8pGIY56X8VGZL2Bvk9U2mH/V1/XgUf1GLt5v2uLnn+MYDth2bW4bcF1ltnPV3+JQurHR5rPV7rxySPFaXNRrPtxgvGHoXc53Nerd8YrluUz+UeuxTEubgPRtAl/XbwDg5QYd6zVVNm/0pSvH3VXbW3y43LDN1KT37dpdJsReb1RjhjNe0wFa/97fL857b7uZDtKmHsDj8nYjKtb1xGKvx1AcnwbHshGsU47UsUW/Zb3WOuxkC5mxWxf1+6v5K2vHfyY6UKJ5oewVFYardVD2CEJ3h6X23Xxbx7RUuWJZ3WSgYL0r04ccTiyxsQ3hnZ1Y4+dwhtVOLpDKRksH6vUqldZDTxANPna5B5cQfVFCkd2Aau8dxLCXG5Z+I2qP4aa5W0DZ4Dn9svBspH2JFBlXDg8vNtzVmOP9bGxZF84jeFEyYRVZui0bZXE3NSlVtvfZxA6/6LR/25Rw1aHWmobDjR1s0S85YwHZ0q/bI2p2xHKYtxpsvvbZ6U680IcTPAilzg15ch+MF25jS96FXy70cCfH/Dk7e33Pi+WnUBNX68f/rrLHm0SBXykoKNadTH0AsPVX6XAsstY6DhkHdx+2RzUyaDUAZzoQkjK8Wd/huPe9rmejNSyxlxy8nOe8rmleZjr/5rUubjdWWVfXldOtVxDMPRho2LrOSj2oYVSXaCfSRpPjuB46nDIMS0n7G/49g8rfMovh9njp0Fxf8XHG447ff6PMRVdr7konKHbEkikH2Ns8H1nb30P54oj9IRZiArcnkn1xxD2xo046QeH1Fv2LtRgsizSlP+KF6xvZ7QWFM5Os/XH7hSmkE8T2bDl1RGHyyRj8BgxiEZQbPKS/02nXksKO31WF7AOlnkJPAt/eV2YjlRHR3KyblzQWEgJgJUaw0E04o3kzjxRdAaahR0qEO2GXjW4WJnWMgYshJF1wSqm3jI/GpWQgcASyK2VV0OX7gCd8QcNAHG4IUrubVxfaWJ0iATPThiKia5WEvvjpbyXYuzvRLcKySd6kEcITKSHcN4+dPsswbsYXSsxuWW36cjzxCW31nzSeNKfe13ndLqpzlTYtdgbamDfNuLFGl3Q9ZfyOWz+Jp36Y4UEaHSvPBSfaEacFUx/myBhsZGhBbpz4CWYhWpgDIm3PvlU4bNw3TWCNLDHYxqZTcTw8dCqJdUw8CWQYxN0OpOXuN+nNMe2HDygqBpzVYTMEng+c9F0BLaq6E7rMDRsUCbW+BskoTsp4RcVJ74PGN4vKD34oZhQeMxAt9WszNg+DH877nerhlqiumM7jAns419X4yAko2txYAqaj32jP7yLmk83jgAHCoBq0NzvTZwPsTljxO4c10wSTdppnd76WU6AqfrclC9yMsJq1ICIjCbc7o81pMQ69YSObfOw852W+lg1OkolJbpN+EO342iABKCaz5ZwGeD3xP+UCtU044LHO9hACNW1GipoRbXe/aoPo2FgRM665vD1OtN7x9fubbZ5YW93m3RzXyYnuc0OHQeK+n2CR0wmyO1AUaL6TwfbtcKLqPDj1UPg9ylE6EKe/G9DfjHZKNo3oWzEjk3rGPR8SmxsreaGmNVoOsOW1z5vJhBvqIxnQpS73N+TwUCYuN06BpPe7U4evEonDbsAC28LLFPlwp+a6kRkl8Fdkqo13N6Yv5aKQvpUel1PvVb5fRR3v7Lal1O94ToFlEyW+qU2VdvhUfVxp47Df0EOCOWTPNdFLxcNnliwTJP/uMJC82Ok10VbhBxFN3jbzs1l32Qko6Tn373xsd3Ca29k6yWnMbMPEr1d6zOeUqn+6LLs6YFDkXuiX/pp0kCs7aGfb+vNkE7EuupmTahty1FFUdxmguZ4+Jpy5EWveD8cDi05Q4bvKssTjVWAcTr6oc1eWPZOlA/pZ1d1dX3X9V1oLXdCA97+5rt+L6tFzpltV2QNscEwg7Gi3HuoF19WVZBMdMf18hMX4HsAOvo2DC8DifE3OW/+eddmwITEcK4uyVcbiePdMCm1eaeMHm90hczUkxeXrxXZPtuUEO9pinSJdyVL1If6WeLU4PriUQ8J3ZQkIYJ5I7QTKi5EafHIDYxor/7LT8RgXhP60j1FwMvvS3C4wM+kooFDoe4OeAjmcgfrBREGnzQWPdOxqh8a1OlrtcLrkA+dOy6qC89mGE9dsyMics7vahhZcsi2FeCQf9n0lPwuNLPtgjluSDem7Wni66WBsfRe68vKNhPAJ2y2E20X/5LCu2cVSvcqPMftPrgGlT9XtkZEBaWQFG1m1Wus4jnk37BtlUFJzxjYRnL3haD36HVneEJHR2gE9G/S90dwj9qk8aINxkGQ7Muwof39Ixun2V1qXM6tPe7eMfafiWLJ2Ie0tV1gXu23baabtqFJol/dbfcJ4q7Dy1UVYuYjUtf7ye/n2s6/KuBp3rXaj611l0ol2PwOc76N8ccT+AMtwuE1OuSU4HcqPPmyxk4Yjz1FFdhvW5STqzmjfLbSxsAenW1JC+TNugg37EAy5zvY+17qxaBs/g3mY4vjsk6k2ge5Srm0YwxL67lHGKXLUlFfX1IyRDTyRQsiKlM462iQ2mNhxulX6y/chkC2qZTcvSpFQwdT7SG+S0ilh1sspD+fz0d7USF0Xj1OPdpCp2z2WR9cUIcZ91BMqophRn7ryRhcYke5nozCqIDZyq9MkjYeUhYiKpCXB87PAGnO70W/6SP2rx9iczZsQq6SqGywjOle22kGk5+MUVEXJdueDv5NzpHiEw4Ox/j0VZTXg43fGl8+FCVvHf9os2Ai3mM86lKrMFnzHZoBtiA96mrBwmkWlsbenpGYDBku3FUqrAul4qtIpXaI910ySH8cdgH4Hps+B054rgryJ6Yf7DoUeHXg2yLtHB2aNye83kdbRjkF0bqyEgWB3MrqB7PeujDRl+WSzO2ghOhRXHxbMYVac2lHcsCJjNZyw7PiE0eNhzpFzxQmAOJDRed0Y/3AjbjqKpqYYCrQti+5OSadFvz9SjFaAxXBpT4mI7/5WNFSqu2yS0fpaeI9/Roct0ndVcdSZ5qy/UapNzHEMXKqlMbMPDx0ptzvQPs2Tng57olvub4qnCdazPHQ5Y7xgK9f9mW+adKPDPozf0B8EY5NFME8my5piqpuBrJ6CliIhxY1oOs0LFJ5U56fn8fuGhmL+ZOeN05ofAvD5k6fPw4wg7ZZJIDYZRBfa1jHMfOd3gTHzaw269k2jxH9tPN2rNuSNHl5TtDa4iC1ywaCnZICRTGtP+9witZvLBB6HMn7t2gNySAqAx9FxtI6n0UQTRTNn7JvdH6AqaIfiZ0Vx9oZPz0c6yTzo29a5pyN2fucbpDGHY76GM1bnmqz4crgv5JPXcdkGTB6hD4wDJg9A3zQ7NRxmq6+Hon811tHx4wG7CuZmtcFxvE/4p35rv5Oeq4K4UnnOneur+SBfctrKhT4HmGNm4ssnb1c3f2eUVA9hLvWy0yt0YVifpw69u13AH3cJjG/FFoCS/ty6hp0S35crFRKPuBnXl0Il+NmYs+TsLjxjZusobVy9E2A5wFv7Lu3Eq1cRzQpcOVpnRKhFpLFd1XO9q/4Dji1/va6/NlD+Toc4ZeK39MH2axobtyeF9kFt0hpcvv3cjTDnr/WQcZJFRYeg5sNe4HFy1BJ/Q3+/4k+3IGshRZ0ye9FN3aaxA+rzgA+mjPA1wPrIps/8gMZhf1anB+sUIDyxcybUoWLnJ/y/iJBZbDeCz0t1CKU+7JAay8tt2a3pDY3vynJAlttjOuHuCs3AdUDv0/U2ty25TdG0fpjnxR6BEP4dDmpj4VM72DF1lGiDWFe8r/gQnbZAeuH/GDAaVtrEMGeFNKjpY9VGTOC7HNbsFOuL4JYsbxk2Ayb0Kqcr5xFA2IRpn+VDa0rTOub9g9jDqcjdlbLPxms0hlJ5BQ3d36c1GDDOH0rPnJ6ctuI54YftYJ7eemiU++IDs4DJvVfsfUOLyR4+YQfgS0N00HXoC5IOkEbWI9tnxaEY+mMfehxainLtfZw8XqIdgaC/mVJ77m+Me0GHI1a7AOSIc2ec25LL3FzRrea14fWn3Nx847RwpUuQM3jU08kjdnOkzqs9u6HhimHwMfA+p1I/Tv5BcGX81J5g4CwOlVdYfGxVrhOfTFfrxLt5r2scuhdADoUcaimJLSLWnLBv7RxOeRUcMvaojtbRlflRx3keIy3xSRmV3vf7CItdS7iK7IE7PnH1nPGYmMX6LnQKUbuWSoHWhq0LzP0Dlv0sX0wmuU4e39D7K775sjhd68XwC326jTfFygDk8hqYjxzgpQ/THnvFQeGX/n3UJ/1iuTJn09fOFpgvr2H+PssXR+wPtbDSVwmNiWsnhHxRk3I5Cbu09QIGbVhybi/tCJBSANPP0UwBsAqBFzAsj/g7Tk8cAmvf8FV0cdWN2aCehtVktpcGMcHwyuBkxfPWEFo+dHgm4428/SwAqKRNGGfI/H0trmS2AltpOwRI+XbX5t3mqcv1qzpXBvGW9rldh5m+2SnYKGNMxgDBsCWr0v4ChtAryfMe/VV6avOVprmaDvdZd1QIB8xm/nnsO2EdgpHm4q7UzQdWHiIqm3HbDE6mJ56fHb3UvwlPUis4vbLCWo2RAvvSR3nBzn/eGHFHYVKyfHzeb0ppB2i3lK/kWI3hKzlw/QNyiHHx+zM0EDIamg6QDREuzI26ER0bibt15EZAIIHeSUm/l1/d939TeOOobrTtUgpfthHA7ABE4oWJdovcDDiore1GbuEVAbPaHVDxAhF9l/hCfOM3Mq1juTPyAOS7qHfyCJiHaKjhASMiyjjw0mUEbHhqYbVzSzLkAhTDQet056dW43eCeUEa/dzQ3ssNW7mos5ETSz0jrPS8zzElGBjGIhCG/iSzj/TRHpYEamxSmk7imy03406yg3SeRVZZXbnhff7tMF6zhqYqUDOc/R+ASDnWMZ6dveGsY7b2wqDXzZCcbr2+0YuPcfDbwZsWsn/BTnizTR/DOd8fQP/KomEftvvsvJJ124sJYFiByYsCdgXk4pqMcNLHWhgCj+fM91nXwSzLNb3bG8wFFzwGgHjTRbusm3B7jJqScWUBQYAl0k4Bd6Jd6nP+J0dQVn3hS7kvoYPge8PZ7vDqePEChqt3VVxsIg8/5Nj1tclXjwC43FT6CM6UaDOcsLLYlOmT4NmKOJj5Si36gNp0q6e/GMtiB1Z47/Qr1hMw2wlbyOu28l38cQP3DnbGV3leHbTRxMXzBRaqz/1XvU6AeUaGeeIH5jLJbdLzltTE1lFKFFb5tPfdMQ+F8cY6467ObdF5AjbM8UYTH6C/q3InF6IvIOkGlZaTHA+ay05YHs+Yb7/LObd1edhiJ0MvZFOF/UOb5To+5KtIXtIK4UQxdK4JyyB4aZw1SYOtzDaY2LA4YWdFyb8X2rikIwJn/gFoI9wLf74iqzoGUn+pE6xr4Op7auMOzZ8lGu94kf9JeKpwKLWxMxNu+6V2lnKFqwpHrcvtJv1QioycP0XNCSujgTEmiUOcycHfxwLliO3GmZyAeOdXeg0Hru1tnOaI1Wk/zA8l8antWK+e6/pqQeGOMDZzP35MQrtaWpPPScx/ODF3IOusy/3tK2f4Es9+RV9X+qHDyPScaGTS+9RpxrvW1BywIyVxwzi822Q8Vx2Hep+94WiKk/U334PoEqmofR9hHBiSuQcXOl0Zj+l7y1xIrnO5Dm/kX+ypCiKYQennuMJx8s+0R3U3FzyOnSyqQ6E6O1ma/t42MH9e+UhcDAQJxC8yCaOuP17b1b9U8U/tZvs0XwWSvgUu9eu8F176rmP4XSxfHLE/wKIPmZGP/sxOmY9oj0y0u6jSRIw67t5SkRFBh0zAsbiDkP3UsQtENWXIBOeBeVLBT3f4vwMzsshP6paQ/UiHy6kDgbzwaAyZYU5msN/4MuXAHQz2bBvN6yf6LTJBD8K7zLpsDGyFLjEATx23u69yJ1hTxGwwWTvxIbPOvIvXUH1QWzKiBD3lq9+P6spApNGjeQ5Gbg503oO8GisbfO6YDIXjQjkK/Z7ajHRbNO6QJzcRxAGblXauz8YD4v+7FNo+1vrKo9JI4Eepp4dJ02KagSI5RWFKqKcZUY8GpVQl2jBPfQlytCwpDyrAedB9N7DoUijau0RUlF9d5/jxO349yhE2BzFvVSHxcTg8VcGz/kekESyS0eb2yPMxIliHssLR3ADGxrjAHDj53RIJxfh9Frguikc4Ob6FlftQlFZGwlGXgw+NSOSI8D2JPEShX2k4otxwAWDGi6L3A/3ZIE3RLDLPHWfdjGov9UQzgDBczueB/t5mymKVMFrwJITsdqFEU+Sv+Fgs9bu8mwMwItdobTpf4Gh8zyZAuGRSSoqiRREPZzVtxNsHQnPuDu3h8NZ0clgU6QRq8CJLV9OFFn6BYz6w72yttxOQT7l+7JX6GjjgV2JOPur02U3GtUn74QAzpys78eVdRt2HbVrU9jQbrQFXA1IaaYfPIw4dJ7wZUiJM4wXBDrX7Tc7hfPO7M/U8oIxPRSAhjDCPfrZTq2woi8l8X+NuUCVF335nnKbsBDrhXwwvppUS8eLj7YeGBhz8jtPy2iGzdo4oAxwF8aEnwOZE0Rzfzlu/GjgPw9HpnVFe6NWNN4bdNxkvnWP8U9exxlpwnemAX+00M2z457ym6J5TBXB22yCxe6vfz3Ef8KMNoXhqw/t54NkbPp0Hzi44zzZT3rETtq9wxjz2KY/aO8Fo8lc60KHAgxDiuoPrhjR2xm9/G3z//Go4YPtPd7Tf9z71EMXY8FFDRh+0LxyhqnOe45+dZpZzRCBLB9qpeT5k9jGejcUZPJT5na09IX7qUaYulurSBWafCS8x/7OdeF2uAAnd2BgN8/nYaO70rY/LWb4Aeec3P9dj2hl1IyvJDYPdM654X3F38IGhCz+B9vzIydH/Py8uy43HqUjg89Umz9oWJi3XVzUCU9d6vka3GyzM9/x7zDbuDh6nk/Ncqg4LJNt0a0/0G6QokKLC6xhaXtMLDJftRoLBha9f6rNXYF7hhfjhYkMnPjCf8drPG2TUH8myuF5Eyz9ux3k1y8SrubC+GM4KexzQEQmHVWTpYT1lTtscHzAdn7XQN1r0PI9wUWA5kL7g5up3xrl4Hzpxg/x+6LnZ6VD3CZTweJWlo7Y72hmIazrpxeUMZ26oOnodW6WV+GbDM7TiAJu1vZmXuflNNOc6QL2z3ekh4FTAru2p8+ZqSmRV2Qlat+29XR5ncQbc2aG+TzL+APyKnLuiZjNEthKZB3ibaNidXjeneZX0fOyfiznIYLbNoJG4VsQPpR069uoUSJG7Yu9cx+9Y9a9dVLbjrER3h048h7Fm9vDvdcXvpbMlVVqfxzSLvWLaU6xpzwVxED7skJbnk/XaiNDmtitYvhZojGm8Ru8Zdl33sSoSiIYXJw1KH/zTYe3lQ52ZftBNNwbCXlVtlhUsb8L1s419D+/GU4UbLkc2MEtDW8bTT4F+apapS6ZDztZazAHTCi0npWcRkVzXavxHcoP4wRV6A59en2mgyJ60Foi+VUD3ivLYiRft+MoGlsWJiPJdEQBBn/5ddZRhPm+8RgvMzs/EU0/3sW/0dpx4HB0//faOh0XEehYlCx1Ax+BJ4/CuR1JLpKLW9zYiYVUssxbGvhTb933Y6yljROi8RmccQFUK72kuzkCynSvy0pU2jl8B9DGyC6R9VTtIWjP7sLyqe+Zh7xE/WPQkJTpinnQlQxOPYaLdlKKjJNz1CduOpzgvDb8FwZOiVwMHiiUiBYAf1L2DbdnHoPHtnMviTOd3uXxxxP5AC98Xenfa9rPKZzQT/Tpz2UTFutPxQ9G1wKVysoMttRmL9j48/rbri7twxrsVliX98lWpgnj3noV26iPDwMohp3G7gjvem/LGDs4kSM3YkPoNt3MxPMYDp5wJhTYEc2mIx3bR9svykQ+LoVT7jmovnm2V+wthvm2jKtOan00Bbq88Qn3XZ2lX+iq72KAZ9SzaBJOWdgaMlD529W4LjYE3fBhe3Y3jogyYbHCv+AOvpY2hBWyUF4Zr/0mGU8u/8kyAYewqLYKkaEj+DhKRiArQyVLquw5zsjsAdsrU21W/NWca0v58GeBGo2Nlzw2LoAvNdRblbFd2NOYEGg+oz5tZSIrd5W5dprnPkgd3BGDvmcTim7u/AQyjVW/JN9p3vfCOXy1AXPRbnu/876lZnxLuX62zjmFs+2alW2NiH+4irnld0L1Ci+F7CdDkZQEK8ZalgSJbQmby+9rGR+g21vUdsOXzavywoVX5P2hNXcGAIksqU/hoqd9V/O36DP5h9zR1AdrYy+gqaOpRsSNd8dMiYZ9nw9lbnGZP/bi422zA86bK3GTRgGc7p8SrYu2DcEbGt9LBH7+XWdjJPpSi4YBtuqdrZN5S4eW6bBBn2n1NUKuxTYK+1Hu1lhj2eLajo1jaMmEUeq7YHuacslRye58DV2oH2+wd+RBm3mj+Uj5eljTC3xEaP5QG9442Cu9dXnNE9DeEOUWtB+2NX74PcuJDvKNT/ylbXWrV1W8QWNfUbu3ffee/V7lb9D3mOc5rs25fNt5IBQAwD1Uh65db0D6q7/B7h/EKVVdtvOJboTZf770IjZmddJ9brmghNj5Lh2oTwQ4+33iPueH0gmmn2YUy/QO+2RpjsVFpvJQkuzY6Tt3cFao7aW5Gw35Eh7+ajG8yRw7j59gbMWbXjflAE8GaAIv0Vzp1sk2HV4d1r1jGZUSsvRt6H8MulzRxOX6X27v3Re9I32yBwl5ebfTXS3zuhrvT8z/CM2/mLYZ2RVf1u129LQ+gNNbyAtBXREm63bUdSY5XGkySAbb3gC4RYKBs9wHDacfI6GMs6jTmtoTS/gWMRuku2OQYfjG0ly+vyflyTqoz9GpfafLcl6BGO/OKhev+t/qyP5IJkPC8xng3/OGVjHyFau/kYqz13l+/1sbfqUqKktXC9J0Wwhlthz1iqC4rirN6/qQsbYr1UEUA+mKcPlR3pPq+ugd07GSd7b3GPhq1s7Ar5+3lkPKu7h643PeHnbAfLS9o+VIG3nzHaZBH3R3DwwcRsC+LTfIZa/L7KF8csT/E8oK57+5o9QU3I0Ix0zkeQLfE/C+NaGOCaYNERhvjHgi10yrWT5yMtb6JWdV7YuWcXD+i/Zx3RoSt1eBIWwDhhC2nmGM8/qNJ7pfw9SHj1uqHEcn3YDmed6f/APTD+yG8GT6mMuN90PcBO6YQUkXnNLQufNzQoJMx+rD0e48CkMN7AHrMu9kCdh6LtR/Rs/59U5xvRm82sBENYkaqwdyeGrBXvLIy46eaIIr+lVhEJ+HCf9ZoLocRRRgwjgs+k8CgenHKuURoBo4dZy3/jBPVWhova1UFAJ3YTdGgPjxzzMpTIsKzjnNbYq1nfKlgnNbkyN0aVc+ntBwOj8yqdCkzoirRPdFyovOWf/aHzoizp91rY2mj/B5DAHFCrT88mqMo9oSLS2WF572u0U7vBRGVGYY9kO7XTHcYOq1iKmVzHfr9k7pE/G83OGxS+nNEtMoxJmqcFpagywH+MHKe749MVyqQo497Oz0CNiKrueKm7xgfppJp+AmaJ1zAomUn7Bh06sqy9ZmMb8Mv+zUiEwFFRzRQuwyzK8CseDvPc/r0qFMbT9pMtPrKYy4HROKUfbeh2vpM+OqYzvCjtFPWD6dM3jnnHLhlfdWDK3yPr/MZOoGejAvCT0oVr6MdsT/iZGjZ1E7tjcrBU4IWkuYogRf+06NxsXPCel+e8riqHcSPOUVfVKsndllXEJIlTPYU6Zm+5TFHZWq6AbFJ6e/U1qYg7pr1viEj6jLG+JxRAiErFOMuXpKJ02iX0GOqbEz7puYoTBlEmP8XvsffyxNz87vgIyL7Dxrzu+CUht/++g3H0fGjtyceRx+nl3vD13aPz9kbnmfDszd8/eM39N7QnwI9W8h1YKaScp46cYWItl/m0MnM7qnmqKDY7DZ5HJEJhgttgL6NKOjzpzAizr/SMcZD7Z5j4Dg60DrkMb5/4hGbkUnH8jVdeFk6Ne38W4dOdHlQMPho4QOb4jpY6J1CvIdlftEB6ongVQdGkl/L5revL3WeIjOq0SKBazrL6LtJPqxJazD0eihYP9QD6G9Z1scYxPm8TB3sECw85EvJhfA1n00ZMW0rpEObU1YWBG90iI9s3Pk8Oh0leVV00qto3eV57S/0A+ejssqZQucAyAb9vMIHk/MLekAyivlSOF9Jfnmd+Dt+H78sch1r3QXGHS6T7jvbiIwnASPJT++L9S7uH0iy1vWxJeONR7SXtO2MpjpHSR7spor1PJfPpeqMxq4vdgAg+Cm3z4WvIUnjIHymaFslWV3W4vbn0iGgTWPTPvqKgXpUJH3iY/A50dmYODz2jYrZW81ks2UmSwc7C4yVDvhvV2mq/c1F6vMdPyHZGAepBJE9pqYjrvsAALDcb7jDj/fbMBwCGz4xPySQC/xKvwf8TANCesTT5vFN7Z5NIAlSRRjcihFVKMeIRBQAYuHKCrmMggVGBGx9F0FB5JCNTEqdsiqV8X6E10dVx4FHyzqOCOfpzt4NP68H3JZN/1D8kaJP2U5nHTe1q7C7MzXTtOs7ztp3QSWC5fBsomfXx6j/ZZwGe+g/7uQRxKFXKe0FTTl/Yfj4ZEBlgHxoI/2CmcVoZ195lzJxs9gYNlDVBpw6DonL6FMMgdnhOzLmAJhRsecgDKUrbSKb2Pt49zJifsM3UtCf0wFn8WL+NsFbIheT/l/fsf1f5ciuGG4iojmmK0cKuv0RssNhE/oJLHObdPmCI46ejGfEY5e/Jb9z8OeasLkudxgDg+c0UZwW7ex7PO549atsRpTsXGThoDcaiDthz7JfrYi9OeFMShSd7zbGLhvlcuAzBjfn2uV4f7Mrbb5S9B+ZDflVYQzMMwXQQ9Hfhh2oz/2dztLNTuyIu27T3acvDh9Gm/WALL1P9CJ5Ljm4D5t5r3iJ38VJ3RZYxS3DtgBNMJbsULsxpLZtTuPKkwL79vuf0PLFEfsDLeF0qERGhL1lLqmR+U1KRXpTPpLGam6u++qwPiC3MAkvSFKY2fhMAvhOQU4LHNidXuVnyYj+yMIVYs613xBYxNjom51A2zo+qqIJJEbE/YdOxmO2dpdUyFUZYaOeHFNh3Pg3JhB3d/pyaiR3vKONTVNRS8/AaY55DBe0txMWL8sqB9ZSFVN+Xvrmdut6UfoZaYvv+rxQbl1QA5jpYW0jd6Qax2JYbw2ii7FEHwW+RbAXhSzNP2+i+rjZIUR9KClicTdCWffheAuFA8NJ3AwFyWugc13VdV3Gv10zDnclJNEFt8v3vMZcGd6VqiB4u66Mq31fS23P07PSBo2qnZDkfsJQKZNG75Mx3wwoqs+KGRsZO9iYduJ0dUWnOwbJfgglzfuqdMAGTMM8QHJRFKXvqqT5WuwEXhAz1fNvnTVTVDKcBsixsIDk8yrl7009AeheppuBVdjincsRn1K+KRaT3nYw0DpiAzqlS9/wOU9Ju2z4qszNAT54gknfEfu74emVz0vfRwAxLtK4fC2Vej423YxlWdRSfu6m5Waq6obQzlno052MYK4jyPePMs9AWZsbeNhJ6aQ96Z2aNdpdDkCleSt4c/6b5L8A50h/DmBcj2EbdycQDtizj6jY82w4n3ank59k343Bn6v/jf0mefqQftZ14/LJXwvCORsp8N/U7ofVsenZMDcvbcOo2cGVs9npbM/tzfO5A81J33kdwZhoIckV+gZA3jFC+Z2e0eYNoyDppYkW5snjkCUXPH4OqMDi31D77NjQOg90aDHhoh7mTAPI+Mj6IjmUqY9rQ+BLSWXHa1+IJq7nVzK8LFfy0F9zSrLa/0fh2bXLNuIr+BI8M/XqR7/5JqUeYPa+cbFmJ3ybh4anV/YRy8arZaKSfy6wub5f5Wu1aQq84XSn98J1WMYRb3Gd8RvTAtOf62AVTy94eap6NScE+47udDc+77PI/I/0uz0gU/padIf4GFN/5mfF5p98df7u4i8+fbG+P1yH69ZvdnyBYFTTUxhOfn5vkGNFfMWL45fp8XPbuavvNGA8K2wE2dRzXHidNuRyvLphAilblv3uUWizkqzpYK3+56yTbdmtO7l5X7/VPe6XQzQKaFIyqL9d3/yedbS78V7N9Y5P7XTTXZNSf9l0ZPT8ci9st2Z2eKhtU/+XuncdDz8vvC3sOj9oG/tktpdR91J8zRocSveBQikVcT2IX8Bf6ORK3vm3kp9JrcDwpQZoT4brF9re8ffF3toBl0hh7qksticw7WPR1/RxVZhGKhnu1mpdU1w2E+GmSicA/fe2WdzRTexjIfSNlPqc8FId6UuKdKq7JQum4cwa41ns9cYBUB02pO/femXWi6ps8leVhn18ig/5WbjMvZ3J7Lc086HGPrO6i1lXLjbBfJf+KmDPFx1n30DmbG3Lq/JNZdp3XL44Yn+ARbpGVCQwfzITiXtalerVE83MFLy9S2FtXZRI1VAmfSNbqE82Elpuh0vkTefIo+Br84OcjnjWGafxHRelbXGBKZMZYs0XnpyyDVNyAMZ4JXA6nE1lIISPetKIUziPv7H/1vpWerZTDvSYivdyYulK6SIBFXNBzkSIncahzWE2eFh49SYjMpYicLyeiin6tPnm9oOooL1ritblvmrErnQAT8R9laPzibPeTObwSUp/vVN2NspbnbdtfRbsOuVMupNmowjJiXF/ZBmrC6SgB2CGl7bchj4Up0f+lFOAaapdryWHOEB4Pgw+inD108Fqffp9dPAx0rz2N+chFunpm9pKyrFMwGJDTGzt1XuKrHl9jOhf3uhxh0/gwE+63fGmzfvlhJiUu1SMsNnw8LsL9ZCIIp0ndTV4wA4W9ahTUqrSiffKv0ypi7pJSfWLex2wAavSCWU/Oer3rETU2S5NrEV8TWPL+DRIb+JTxL45Y3qVR+HKKZP1CuI+xEEjo7ER/UUMDHNup9E56Tec8HUNeh2XMWU9OsyAfd8nji+d8d5prXelDCrxkpa7Zr7czODsHgnn69Aj85o5fmi9zHVTcLMrxFsi0tQNNO+jyB6F3ZdiMCYcqB2MKf0GX+iDRry9OCgS89YykslrIo3Gp3NsYrSZDgv5um0LC882kbfjdLCZt8Q304n3MYFyOsHPsXrdejI6OTmPyQfcsRcAKsm8jik/6wEm/4541fb0O+HL++QSER2i445bb8/Hb3C4MRK4MwT5VhtvqvMp8dgLpLvRAq5u9zThwNdN8U7RYzNNesN5yoiEfT9WftQRWR7i7p4rvm6lP7Js2spx00/8tLjrIjO6d8iaERlra/Gtj6iSR8fxOJMDNmQ8GdYRvWu4aiciC4BvMnW/ox2IaNghPxho/zl+8TvaU70UastZV+h9pWOmG563tC7yZiunhKobDpMGBbCotYUeOetAifoaTenAEYB62NH1Ay7zPkOXU9gXRWRn+QgNfSmwe0tltV2A1R5y3a04AF9ucGxoDkGT+fS6Quz+bKonpR3/TugQb6Uh5D45+lrrTitWGh595J/1m+0Yb8rgxRTpGrxIAkavE3x3J8sYd8Xxl35WHl7eLXujjqsqcEl3gB9geTj8kr5L6zf1X+AsMFacAIL+mDI2YC5/bw8M0ZhVaL5Lvejzbt52dFVL0TvC5q2qUJmHVMfHTfK26p+LPW99R9WgdZNXx8J612Hx3HpF071q5cjwc44UqMr1N/Cu+y5rnUv8b+qFndqx0kvMp652hQPj71lPxqyXyNa/JYd05UPL+CofVCxLoc5d3PNY4NAOyDEyAXXOsNZswqvTSmERyi3Uq3YUIHvWzxXzHtlOGxKqgn42u96G9Z0ciZb6LjoY/53mXQvueO3UOfPnGzoSwldao6F3EQzLRFkd1rFoHXjbY49J5xi8LjZ8h+HgQjThB4EXp4/TEzCiPy/kKWclSnc8A+scMK9Kh970lg8vvxu8MWcsU2Wt499XmobZlaJ0CM/XqbZV5lT9kzIpxUFNd8iyzbSBP3gt05JQVaYf/r7Q726/LZxJsqEV4uMuG8MhdLd3xYXljgBjn/oCRh4LzxHr4PxrxblgmdvFMcjfkaxQH28vVaR8bHOoKvj0PPA4MA6AAPjUDzxax6mD7z11HOJ99oavnw+cXfD+/sB5Skpv7Tw0olzjpyQnbbOo2KRbOs+o/MvlTeU/LG8acP5IAfupD6D/VAd+dEKaopn+4m13Pebh47LuktM4wTxtLM/4uex7UhvxaCeLfR27z+fyxAFW/1FqzH50T6+8dhb8MeSWIF3zscErwyJk0y56A9Npk7RvwfArPZw6gWzH55lY2vOGEX7P5Ysj9odYfIGxUCkCyh2GYw1Y+h+6MJrr8mII4VEZNyZhL4yl9B1RbpgLJFKQXeTqTmmqrN4u1VNKoyUYG0RX6aSCfxfHawig2ri9a/nkWXLCuvOSFemiVEZ6Tx8St7VT4Aim5XeHi/9clE8eE8HACoRFGXN0QjgNzKEIpQympFSwoRvBriqRbphh2inMAABL9Tc253WN0BVEGuKUmvA0ec/zDqtrOEgRtTuGT8+3RgHh+U7ozRQXCOV9KpmahIhHBwJuLCoi9WBStqi+2IYEz+eBcdrqBDztSyiR3g6vVxd6PD6fR1foDZz2bimd3kzHOjUcYhMHI11PfxvttPcxWeG8oM3jJJBZoIrCrwjkDS/1tfOG4Qw247u982LKtLw1gALWUofnz3ZCPKXXshB5w93Xrytvp/Mwn3ydNh8xgqhPcxD3pgR9CiGB+q/G7mlE7WvU8CmC4YzV+U0cgusAng3JOOK7D2sf/NNBq4q8p2rWgnqHx+arm0MdAPQsNOQ0iMy/k514dQIw8GiveZ37+iFWkvhAgkHnGHnsxD+1oGdhw8X4c5HSuqXXbgo5QI4tw523bUZZGAUkNyeP2OAhNpZg9BmCLdHGSGszHPOLU2TLF107KKUXHDnsNHZxxCPjDULnhP3gSoMJFlnm2Y2l2PgjtO1SLQvjrsxZGp+94w1Vx9siKw7MjeBYu3Ynkh04iWhvGC8ThIMpde1z6uvDxhvp53U+224G1lKs5HAQeyp87pMjMHXofDXVJ+/mLLLa/zTeDLt/MyI1FCN1uiqecgw665QKTxTqd8L+/9j7u2VLcltNEPzgvnZESjp/dcpmqi76ct7/keYFyqZtuupIyoy93NEXBMAPINzXipRKUp4OmkXsvd3pJAiC+CMIHpIi2gFQVDtyaqkqd2XKqHCSCUwG1vHMMQsmfuNKDN/k9mCf3TZhHyfkMTZi98eBj48ZgeYnfcMpKYOPc2ABgBhL4FBgwY8acqBzpPAgVDJf2U5ciqbx6fxjrtHRWXLUCa0jYN3MSt9nsPwbznIy88bRGGLujLduEkGiDEuswX1cp+FBn8oKkLXJNsbtJmzaoNHczo9yXVyONLTYVm8yCV0VTh09Hqx9BB3S/PLG6QJr8ywcLKZbXwXovgezr9Hy0as27vrZJNfzNU5yaciH9YRTlqWE06ZO3dxLfV7BKvn7y7H5e+dpzKdY7nrg9Tl5QO2X52uOYSptnp45FDxFcijfbnBdwN869LrSzOFVoFf6TG7ASPgp33R6GMNS57+pXmkknnUAuSz39tIVJXljQ+ib6HubMtjb4hSyrGNd6mJvlMANrQ/x712HNBpMY+A+Cq7nI70Ajr6r+m6FK9XXOfakY5fKlQ+qzIwCLB9d/zntvWXpSN8zTW5TD1GzE9WRJ7aUTG/LqKH1p/NOTlVKP2x44tTEWeaX9Q1MHS8GghmsfBru9YIUOrqVZrrqHBd+NmjlgodXmee/0rNl/RDveUucFJ66JOnQqUKJt5/kIsNhf0Qw5Iq5yM4Vuj6mDXkBWyqvBtXohlpwWOvG+o1Fa3AK4Tv9tLHVoBenFz4RW9dAAMV/D52yw3P0X+mn/o5Z/0rtuaKVq3dvZeiobTl91DED67hr4ffdujEYUxDAC3pYZHD3HQf3Un+q4/TreW5QPXFiZFACxmnYEyMt8ec5NmO/PXfLqjS+cYEgLhgMJzVoIDYx/e/iy2x9Q6QruM+El5zbZymQ9wHoQ4HHif3L6MRP9UZWAQ+iKYsvbZIyzIdm2FguVHH3DkPS+3phW9/xN0HSP9OeTLcOE92NRchy3XXB5YocB9nXTuBeUr8peLxsstb9naRf2i8RhF6znzYneP/W5cdG7G+1FCHRRgv7T07l9aJ06UpfRVAvqW39uxS1r72AALev03EZuVTm9+M+mSJAvrMsp4LTy6zzdOPmugGeM3L/CSxOL4DeV+HI7ZUuXQEiHXf5PtK8EtP2vk4/Gd0pvLypLEPAWEbKMo/5d8EQTMcXSScZk0Az5FRnX2y4Y/7t0Uh+MmT7RGxYJIc85mbt+KP04WOszkyZuKnOi2WOMniBS99QmBsLmIqpb464szdwTXdkugJhn9DSCEcxkOHMQglhmPqp6dg0YONUYJGEEzd+utXhZQdYMrj9ZFWipwxX/ME06IEdtd0yd/EOmJv/TF9V8XAnALOOLG+n0tJs5E1nrW2qYE3x4hvEW93s9Xll+uKNnNn07AMzVY0co6+TFcU4gezwydzoDHyWxiOCVzE2uYBEnzrgUmBGkjIOz7W+eLtFeYooTpnP+f7G6I/WtMo4Lc0O0UUB9PYFcWJQyrvWsKl4JiUb/FlpozV8iJDi84b/djAFzi9g9bSnHHyzdHsC+KQGCx55U19bWvB/WS6GnMf8xp1Vgklfi+zA7DP1584bgm/cLS3xPnVc+K9i0vlMVa0WsVpOkjtf4g3K2VT+w/HPfbFMI7ASXhRp/EsHRPvpeyCtg4kwWiP+SCiwqKMRh4ejeEGo5J/cLv/Seexdp+JvXB6YhSUHSMZnelpkfKH3yTMVnjI9+gXsbjGhf+NjPbZ5v5PxmuA5p+SxuIwiHBhKgy70MX5uzxWHlR6SvPN75Dx7w4MCFJxGbX08n/u4x8jk6HkK9NxGPd9Ato3X7VPmxpEHV9hQOTJ+6DR+HxITRy5M9+fuTifj93W9OuJrUTu5VHjPlQ5bNxtaBxLz4c6GKOvDo7ihxntId0ljVaALskztXr2KTV/MYAzkO/F+lO8oDb/qos6jVDJO9NnMwc1cdvXqRoV65GelTy46+l429qndFMCrE9a0CdvYhumO2dKnt9+ewsRcU5ERKZ2QvdmEjXUj82fl0WVcAVNhr4tt5HWqDV3lMmge+B+PyzPiKMBea9brEw/xTCCqEFWcIvO0l/3nGTxCvh5W3wMkkcdXYUrPCY7Lcs2W1/YC0Is6YFnLD+lPf+92MwWgVRm9gFXajHlk+e54d5u0jo+QwQ5SajJkcOCvnsxkOvI6HV5e0DcKbUacqDu1IdN+tLF6wG7Ir4s+WG2SPOy+LHjK7cx6E1m3TdaXF2rcMqc6dCX14CKW01yvwOsbsmwrRvumYJ1uf57b/FQlMneM34X6pTYYjo7Nm664bBwa/Qgkrh5acHDTLtDwKoIp1pIi6WFLG0BcaRM0UeRYmOEdHFVOavOnEF0WnbaFBUg6eK7kvBJDl+eBNXRxeUL0BvY0x3fFHEfh+7qsN3WyyPRgvEMgk08wM+zgc3uhrkeCt2Y3YnyltpiXcV9crlDAsF6t39LX4oO96EOMXqXOQfWlKy0pZ788f8SLb8u76jHJ02UTUAxmmXB53UUOi/GxU6DPDZ+f+7BtRLH7tS8qkZ6Yr7b55dsDp19t40G9ji/3yR0Td+FfocDeRU5B5uZoYVOi0yx1WcE6zvmA3fFqJ2G/nMCukMdAggCRlc4zx53blrIpvYv/tI8T8uCibkuLF4TA+enj2ezqsj0ASzBgyEadNOnPadnGnbHUvnGSmQnnDbzEpmt3SLCr+wZLA0Zb4rzq71x+bMT+FouUxUF0lCIFihN+EaIkZOoG5zx5WAhbMfsloTc2SZWE0PjuKhoondyldKkpwpkX/IlxOmN/R3FguJAMjivDOoxkPw0rYg5NWY1dPjFbBNC55/EwPDUqmo3EK4VMYcrreaGrCWbEjiIu+Y5N1it4/DveSN0A2OmfraZ7q3DtwPGFnlclt0aq03e6zfZ1B56/m/iJvu1Uy0lGl26W/hTA/i3TSWweMp7Supg4YGWGv6vGVY2MCiG9z9PE4RwwpUCFNmO9lLlLupf14c5medr6NaXBNyxd0I2ILI12/RnPgVijoog7OtwhndKF7vzTUor6aSJ3sjheKA11Gp9/HwObdCm+MYUMn8K+iaixie9xB7G1Ew+lTmf0x3fM+mL3+Y3Ur9w+T4I7QVzhsQ0WH1ukdbU5TqfFbW5S6mFqezsQDnx90He8XthZAgyjpTrOKRVm3dSOAdEdjMKbsTLbVzPSxeq6QqtADDhSb+50upfXsK8PXifb4AOiiPuMnfbcSRe00vAwdqj45j9voAdegJmSBs6zdN5v5WRtCntecDJ/pAVO5LcANt+FqEh8XOfGOgB8UDtRfzYqp0B+sXYdv3Bc2TgcfpvrMB6AGVzBpciXgNv4uDryuxNjvlHG40vRIROXGnUaWehzbYTBjoigRV6/ZQwue+Rp9UUTb1zmgQN0GFyHi6NgyXCb8CICVzzIINKbwuZJJ80lWAsdJ0N0syCMnXiPr0FfByWQINIhdX1U2mf5XenR066RTMXOOB0yI9n79i4yEYDwSe27DAnd5cTQiXSeltUT8y5Y58P0M3gO8dn4vaNd2/+MwADnt58Ih3zw/eY0nOuy54dOWWZ/B7833r5t5zjF+9zGRuyXccw5TvY+DXY7wbs9ge0bzX0JgHNd2J2iI62nbcbGtR0EMn3rOsVy0hbMEzXjDEjrRejvSOXk39P8J119c5hne6KAfGpeP9yXT49tlPlJWOjIUDNoSjI/tH6T7t3xXYpMTzZA+eZqbD/Kry9DHzZ+3UWbW/E1xhHybbajpQOselDRy8apsAGHQBOfTPZt/Q6a9SUaU4Z98lT+ucBe1vXyrIyz3QCgTdigbVntR26rOpOqrdi9W3CK8WxxBl/AGp+ybitOD03/LINtzhKf8GtbvE2WfRwARG3LSepB+AdMJh8jheGdc3tuXM82ky5RB9zQXsVh5XfLN6B6BT+pX9dbyNbWwK/mdq7m0v4OkATj9CSPk2yzzqewOPG7PlDe+UZXGKv5+yX7isER46F+1WEG0pU27MuYOvzoZG5E6NzAVpKRjDvaKM26PukS/l4LCX2PDCl6SyplvVYdZ12/VaDbP858cwuHbaZKkw3HN2UFtsFr10swYZuupq4XMY+rGwP8TawhmbpHQQb7TeKalpAXa5thk5Z1vvArnW2Ff6TaJsCkHX/EPs7UICYv435zt/NdpfdytUmq3EwjT4+Pt9JCvKslNVQXWPeBtz+C9aIer4emftePWDawSscx7tOz4/i8WCXzrcgOsmkIFoMPANmNNDTCq/czx9WsMQe/8gHNv75c8lf4ufr4ji+UesPXkdfb5SGWim/ui9ZSe7jvSr9hGUWyetn05TV71V60SdeMASOA9xiBrucp2PcTqhoxbx7Ee6jgODYcx4bPXx6xgRt8kGngNN8c4Y39gHWDOIbJwSnBrzIukk/d/OpuR54/zSttsCtkP8en24lt0xQMejwVGoME2by+jmZ/zG88mN9tyIFvjW9ib6Ki/nJOfGBGHKRbzkBW6p9+sm5f90uWE6j2k9y1RjaWF7WO12V9PQCD0ncdTtmMXTaJO7kb8JSMPf7OI3T+juXHRuxvsIRRh0KEtVRhys9ffPM9p05bxwozcK7bRDRUZ1o+XXUzPhZW9Ky+bx0JTcqt4SwdG1K9UY1y4nE+Hwyg0bh8TP5No1R6HaDgnYSFyHy3GOTWtyAbNFNRLv2woDQhUWHizb+r78MBTJFISVBfzE99tpmjNymkdTPThWoRsowH3sSoinIrqBxmor9ubmqfEcnMfZfTgDnyL+ky1+tPkDYnq1EeqWc6Ic7DIlpJhTeOsMpzBWwDJ7fl+zMt7rnBgmMFgC3TRPStAA4Pesgvnd7BiupVX6GEzlOvU2MvMEnTRlWA+bs6HlY0ghZyqmNhh4sNbWE/3d9qSstWEUWdn5qf+U/ehL3YrGOjZ0kPS30l55X/Ht/Igs8r7pzWSoNLqfPozwiX+ZT4jdGIzIOi3TL/aS4YlS7zaFzpva/tba6DJqFv5l8EbKRGaWg2jZ3hrPAWuNJ3hVZEMdJD8+Yt3S0aoNe56eRF6owHm8fEOKkbxvFZQ3Pq/zFvKdHdnLUwnvv68kfEf2v/sW7v6KfKiVgvuvL2qr/Utt0xpWXO/acSb0+Arn28Q/sTkPXvtHlcdYhGFxEQzZX5HvQ4eMx5CER3nLbJGvf42DimbJ24SBvjzHdJxvH6iZ+Gh9SHj4nwcjWmVKEGL+o8TSnbOTeX0fTHa/ZuPgp/Dp4adEiEzZ85D2rorDqblg1Roe+DdrQ0wjDN+4Jvx/GC5yzBIX7KjXVh6jPaBa5tDC19NIGf0d13RJv/KFaW+RwPqm223LHETVQ75cZOS+0wX3tRbm0/IK8zIfqq1UqQ8dTvqP2rTEmdnntXOJCXdaCOLxF/WJxDpV5rc3rdi3YZ5qrjLTA0Q9EOpzSmkNUu06ghhjc2YyyAaaQt1cyvSbfi8YkgTkCmQxmE3+gjyeB7VaaOv46bN3BAcEFzvdtS9L0FljqfRW4k/hvyCmEf3Y5NMJzGLoOpn06OiP9XdSeg3Duo+eShwSdVVlonSnBDzb4J/l8ZkcENEo2mByjN8xwf1rXBA0z6181kXS190mNui5/S0jze6JG/X9YqT4bxqhPTFlRM2y2GQvKwwOcnWoXxZXrUaUrz0OEYTzIzmHAQbCXaDh+drlhK8iWlF+XbbsFWXtXMRdK/fd0znTs+uJ7TWYEnwfkOv+/4R3msV3V1wqYE9213itb2fKfI3ca+AX3lU+J6l3w19Da7ekBy4EzIgMXZOF6Kp9y2NtZ2mzVJtB6IvxoArcnLOWnKEujHNHTnJ0+8D8knFE1drI1uY3lZf1VedKWbqAUJa98si1+t7dzmIGa/egqK2IxVjI3W4TMbH/hG7HmOjdhxAtYzKkl8DyAFToPpAUVmm89RKbCV9aB2jTlds3/fgqQ4GM2fy6aQDWYzIm3CKvvJXDZWn0CZX90EcbfyBb6rPZh0gszOE05GH8ZkUPpemKB/WxZuwVX7rctiwvVl8Xn09h0nro94hpuuf39fNmFvr1BRrHbkP1D5sRH7WyxCiywE6DUR+t2wAMgRN+tH1DG1H79a5HEboVDlqUXgx320TYk6wUg17lrzS5QdHrGTkQDW02BJySZY698n4mQrj9vTI6U85JCpZPhOmkyYx+bj+P3ceybhDkf/fdTFFNovhJqfQJ6pFkyo+R1zaXzzu0kDlk+dTmzyfXqjD3pn34u/54hdjDTB1XF6Uq58nON0KhQRFR1ORzrZkZQQEvByjBMmfspUxdqVWZ+FDp8UucKHn6LdPrPQdhyy82478rjzZM5xQYHz64CNHQgxLrsc3u+uZbkX8C4TTjLI1+djFdQxfw81eIyW9xn9GicU9qGZnj/pxJd9E3zAvql+rjg1xScPd0zDnxUzWn/pBLvMX/3Uq56ynvDhk9u7r8GMq6AnU45cYc1O2oG8oHMOMvC2hBtHbFCNPgYj9fSVDvx2COQTed0yLcpIR+trQJ4Dju1pdSgNZvSxzf59/iAADolTIPBo8achwU82MvJKlLIcAjzp/mGPsvfPymk03pRjxVQF4yS20/emI9L3ALaft9hIgXq6lslf+OSUO1v8JFrwAcelwZnWNiuu9jx42DfCa/yb90+o4Wtugl8oXH4it+kr7jexqG02/CK9K2wd2KZWKi6H+bSrzJeD3iyNztPnH3MArDUL5qle0r6r0RYwcnvbkL2DfihFubexmYNn0+GLOQZuC1rGnWAsw6ucOwg8p0PHL8ls9QZZXtd2Yr79Hs9RfyO9QFwmOj/AnBsGLwIGAkGlP1oW/Pdyet5l+En6iuPH1qhPmZ/YSY7pA4lPAUgIDjzx2jOeBFa14tQI8hyILnfEJkTQWhQddxgDdirU6Xyb44DDw93Q/I2NUMQp//Mg08H4ONixqgL5lBRIsz3FTukSfPUkgUz8Bu/2KGFLZ7R9WjtCB2dmtwu+nC9uzyFr9EODz54q2LYTj8fYhHU5p55lQAA8TqhsmdfVTeVK3zLn0nXIlA4VCIHquqQcOuKwNkG9lzHkFXLKX9/YjZ8ADt8MUkQKt3YTNJwDmV8GCTkOve6pkcJ/e5aFxN/sMmWN9xV4QIbH0ZXuDUILl+Nhdpa/+1HeKIzL5gTrcn9S+abyobtN8oXm0svcP+vRS+n64/b3kRr+KvvSVRl8odBdtF10hXcKbcKGjWA2bfy9ScHRHLvjf/FT+7dVBuDiua99/9PtHa/bfF9taSVYQ2ba2j3dFnXYlfrkTTqHxf7eMFje9jRaoM3ccx86x0nBYaJTPgy1NutCwUvMbtzMBqvOwMuN5xIElP0ps41a2CbhZ8u64Xc+H67rFBpgXh9wlrkte3YtLcR7s4NEATw1T3IFfIpoiM5sNqEneJs+DpN7p91TLyeAI+tEDAdk6A5ijmbOwMHjCjvP4OH5j0JBDW7XTd5RgnH1IoCtzMdSh/U0QpnbmtmWxOyHN1CReVnA2q1t70sQtrJCka50cHw5XYp9TL69Of8jMxeMF405Fqj7YmJ89sEpwNORau2TfsB4iU0Fb6iMZ7EnJX/vYxDnFQv/y3Wj+0rrXjhIspk3/zSy0VDzqd0ylEWnvFjblZdHNW9P5r/FLDEcJPsz2hz+SPV5pu+Cn9fDCl1huJ1+qbjd4T5GiG2ASIDRICTzO7aDInsYgMgMw2UJ2Jg/1fXjg++8NfjcDiLZ0PJn5plFpuXxpFd5egvYayaqmTVp2Yj179wPRXS+2GYCpOx1PCRah8Fy2K9caGqhg1YGzUCYkG8X9PNKl+rsrGrXqvmicAJ6bDhU8bnt2DaNNOne0Km2WUtZiNJJWOOLI2sbrQFMOPhwkfMe9xGE7+CC3/scuW6zXGlj6YmxKeRxYnuc2LYT+65xpY0qxmayWsYBlQXuCEYm/A6/m8ktaNYlnIcDqNfVBD/hMV/Rt4526tirKtDSUeVdvLYY/0wHxL+7tTr1RLOL7RvWazxzTdWZJ7wabaDipOMN0fcqn//e5cdG7H/CcpUiqtuEvSp30dB/rRLppb6ziyQkLiKZYxN2efF+f8vdP8YEV0c7f/Ne21GXGSYLV1diL5QN8CtSPFIKLHuXNjwahTK6cUbuiktRwmv/qe9a5w3jprZ1ZRCRLnqNjyqUuzreRM/X11LhpLlZaKATYrVvfu+CinCdDJja/zsl+vHUsjIN5QZHqSwWtNVhwOo3HX2Web40pN5dJ+/gIGkuf0G5W29Mf4IU2Z3A8HEvePAFWvq6UqDDaDKlIXYCMQwWKXW7Nhiwjjh9zjU/SsZMQcNVSWuqq1iNIh9fZ+A14FdcVQeVG/axwRAf3sMBnXf7+rxdiscGJ5el1BuGgQX7dGuv+07n1F06i+gz5e/YiGnqt201OOasLS1aGxoOo5JwWR29DrDTAWdzWGi7kStCfyfydiOZ/k5D5ed3PBtzadwp9W/LkssGkGR0MkZoPdzqFYzT+qyrLm+0KwSHt3e6wGoEbOhy9I4ce8wbW/nP8BR6i+EZX7qiS9RnVzK7IgOwTViN35PMNiLgVL8JVTd6jzvZ3OH21nU0t0yo9Fvv7llZuvEACzq8EJXLlR1VTv2K8n26MPX7jp7xo/zVyzt24WX5S+boV3xb08wBSJmUZkWrVk/Ffkc/v8oGloLPolMt9oPXl9xG9y2/u7RFSb9MGwSljeCNtZkO1qZvb7tNT1t4qNf1QNmOL9/ZPov+4d/TZl/qs8NlLUX+LO/enPrOCertBo5IfqVutJnfCsoVHLftaYtQhmfR7bxmnZOK89p3pVWqr5jyutJfhqyM69Wz2GxsGtEZfHrR/NQtL+btEuetQk7f61p36r/z204+hg1Cm1qrPVfaVyzX/GSkWNrhK6Uvba5SnwUfSZfzqlf1uTS4DJrgbxu9MB5X3lJ/vyuKvAQqnH8l3eLOTuBKHpALZD21q7vQMP/NOO9ochmnJDgr330NewMLd8N/X8iCas+mKecTuzp15mXMFSxt4L+bizs+CySVOq1bfnZDj4v+ze9L37fz333TjbXWLyV8LW+UK9b2ysjN9sYU+M7P1FNWq+A8AT23+Z1K1JlCEkQHMk+13o1lw8QP0dfmNOfB/5Xne/2kO2jIq3oVm8j1mXS1saD8E4xxtDKp9k/PYy/gFW/5Dl1l+fSOpqp8b/pIh/q+U1f+a+4vXY7hr9fF/7byYyP2N1hCUSYGfnfsmqMKa8RznAq1hbw9rYF9Td0L6zdSIl8pNneChRmfCdt4dWA4jEpqQv5dLPJSDl2deqUs98nKGL9lLc91fQNzl+lwIybsJ1u7O3NT8ehei37pNkD9/qPOMIl+HVeYd++mU4pC46vRV117djpt4C4zX90NRLoHNJroBIe/s+jjw+5H3J5Ip+YYls2jT85Mc7oDz5/oe53w8am5ash5XX1YZC4KrmXiifERxp9xPqE+4vReiVY6vtj8fyCd5gbBpA+MCLkHzQULuBCqmhqPP88p/915290/N+ZU0/px2CcSrCFRQNx5rEAEVzjMtoY8pS3zBm/mJoLxFMIVGTtxWk4Rp4pqWpbTT4MqsKTMSdp57n5x3MRptTm+en8Eyv2I2Jz+aPPH8emKnq1TiJ0iA62/uqZ9XETzKQqSaIXhHydZ53NRQL5Nb+HQSXUomJ4dgJ2JfrLWTjjiGAtFFONEpGCc/iKa0ZPu8ztnxB4w6CHurKKTq1CP8pbriD6x0+COC58SiwbcPA31O4qXnTiNU7Ag+rHIXZdpm51ERsNz5smUfO9oWoKcKq3yYu57+XveMUqfTIOj8vYYg847g/27Y7SlxrMcbwGv/UwNypgrcVgZ55ySuPJvi9p3PKQhl1PrWf4NpuFrO+SxINICx+Mqixi2+H3yovFK4sRE8SFluGyd+P3VvtajnX3wFjY+O+d83QxkJ33w3CILOycigFgb7Myc79Z202Zr5W/OFrV8L7mOw+MBCLFGjYW7Mcqn70NOOH5tndU+lk1M9ROoCj23QRNfzgyTRzCfCMM5To36aXVeKy6DbH16oAnfWRtsk+fDUeAwet1yOur8mKerj68D6fow5G5TOJ8HsG0Sd/z43WnbpjgfJ/SbNbgDx0+DL+ovRFeun/jc8b1AOnQGh39TGfcj7W6Q66QLYPIrxw/N9ehrIuDOWSLnPNCSDGgpBB24nPr81gQ2xvhkpks8H+ObcS+4zjlQQJ6md/Bppiof4fMjuU7gbsIRd5aexvMOhA6pmyz1f5SbQvzV533Z1HSauwjoBYhmbt5f2YDLpj/3RTS8bJxK/mbyq5lmm/UEpovFli28qD6P9RxrVNM33P9on37fQPad/wTpI1Sf65Txhr4hyKefim4h6nLaZSozSsw0to1+UzMSnGH3lqAThrvAyu24PcWncOv3+oGlLHsIVW+xPtn2iru/zeaKBCMdjul01ZJ+19eE6eydzct8OeGkqTMf5P4DT8STBz+kk0ql3c7+4/6SPKc+XQcIR26CT+fwnMYMt7qvem1s8bC+4gABAABJREFUHln7iQa24ksh/uLwh27mBwG8aoc/y0iDgm/Wl3heAZIpLmPQlMxe5rUG5wpfyqoSXY2B102sIRvnKcLxfTl5pBmfkZWG21dE6u7tU/JJc+/PA8VUxhVaBoS6XGeHQzyjQdefscEh+cQh1Yl7O6lu1LH0xkm3a9YAzwtn1TrZ78R9ezv+XUPfrU+qrhP/Xg1utwMVkbWsXm/xVuE1+KruDb9gPhrXTonTFFV7Nt9a09m2kdROVOpkndZvm/adF1a4DJ9X+/rR9oaRljY+KjD47857qWOvs6zpgk/O+BTrl6syP3f+UQdKtOJ/coavsKFsDcZGusr0R9dGG/x2dgyA6YNQspOMbmOOvb1GT5gNXVw3crVDlRCFiR/27zD/QZ6P4IGpL0fnsOfVT+yfwEhNrOEziBS+vnnpcsdtev5pp6KTz5/X4Y7EI3nsSn7p7Zi/r3iCZejTmfXRfU0ly5oH7Z6nYNvmCz0F50mplR3uJyCfs9+6xudaQ+g0cgo2P3ThdjUmm19SZvuckIwsS69UHlLdl8aUaRm4bn1r4ysOX8HRdGhrzOknBU02a6eTWzVzzDJuf111oe5qSl9LV0bK37j82Ij9T1iSk3xfiXb9gBgBKX9/SUlKbX3n+uGviV7mNXV1r88lUIhFPBTrFS7+OYDxf1OpbY0y0Dv+Byz4VJkbvak/aj8OLyRu3cGFMLiSgKL+XQ/VHSNFX0nnGIaPCftuc6qV5S50yRmaFCgUugLCoeEnNBwuVjbYYV2Vj0CVb3Q3KbW9TxWMFJsd6ITzToniNofBae1viDQ3bOj6xmLCnf8afdFD68jTKCUFuYCwwE6bImnsN+t24EInMbBy/UQ2kq5wwX+70tPxFlaePbWVDdAFX3KMlG+jRfFvG7hYUQh4Mq1dlaSw1bWsxYjmdcTGsc917Y/a8VSRUIwUwwsgxOto82rhIaGhCZYTUMyvN4z3KuuaDbocc5YUwQ5fZf0nQ4xxRmAth6mYF/i8Mn6u+oyxkWFRFwWvMVLw4jnB2POuvPBrHacpdgrN9a1rE86vFbGm2/FJ7ispjZWP6xxkco6JryMNWZH4NNNk4ccAZoo5epbeF3h5reU5tGdl3lNDzC9iTGufyzflXdq8rG2D+MiWP61K+SVzZVqALCznypaNd8zja2Xrk2Why4XLdhOfnf30OJuRtgndmqrkudQe1KpXxGOjazlGJ6wzMLxyyki1TvOYHPO1NAOqT9g5MQc3f2eHdBjksaGgw4h2Hlu/90fucDSmJtsJgSs05jh9APqU2X4HeF1vknGfdLuY2LKQKmxX8qzDB71zGkvtFCGfN8Pu22WnvvOg6vhxXjxoW+yZmmzOTnvp9DdFMpwvbRfnl37aGL/y5OL/w8q62XdFcz0uuf6vPi2aOkKW2zflzo4NWK50svo3sNqPXZ2rv98oMwMVPWR+gDmmS1lQeXH5HrzWQg7PO1hZX0ttRlu2RqFT5yFbt4WnK/Q88QmU58BMQftrNkG4HZZpQjjscOm896KtNIZWTuXnd/rAFcw1oC/6qvR5B0cDV9ogqZ3yry/mLmTTVXsM29XzgueUvbbKk6vmmJYaPWj8fYOcC34i9D7ZieEwuG6ybZtPgZPD49afUIEhmSsgfLmOZf35u/m5TP1qs9XLhKXUQcDs61rjFVTyabMyIXGfpyIHTEfz+YPk6+iMqsoLabxrGwQXt/FuiXmeKasj887dHJX3y1AuCfcGvipqeI01bS0+xqs+C9zJ/qw0Xr653Eh9t9zpn7ffLVw4nqfxOpzc1xUcdX4u4KqvlPv6Tlm08BB+UXnQS90GkEtiaHRz7uoO/98zuXJP2u/oaAmuoDNP1TuuKYPYT4BOwVrb5VS0b85OH4/EsJh+h3zVVU6oBdf6kthu6KnoEIlXRnvlTx+j6ExJ7EAFcDD++ULfEWA5IHIxJ8nX82vWbwnq/RVqWMAMXC/ptd/m7ztR/j1ZegTXm7v/4OXHRuxvsFxF1gDIm7BxMk+z0UVR+/G3vTs/LqRXYxzMvqbE7FJGBSxWdbOTl3ECsUQts1PNvVacRzzuxKpgkuNnibY+0Z6QXdvAZIB0v081lFMqJtC7Tnmkdt2Jxydu+bvutNn5MZTlDTrbMlyiwuubojsJK839aDlF8qokI3KjsZQTD7qZHPW7I49xTyvXiV/prmA/3ZqUFsMFztEeilPj/Mhj8P4iQhoY95lR5KuXqtS4UyDoS3LbKPPv98TqpnEKMLVNTmcF5p133q3PzYE45aF7hnPQid2vSvMwEIaxBuwOPn2MO06zIuuI8nazkutRWgGzYtxT4EpP3SCtfwvipMr8u9TxOd2IVtgI5DrUTuDP14q3fdic0vB4s689DQ4sEcp+6lMU835NP+XIODoNNI4OpPXNOoJvji/jpzGNu2IBJWAieMFPo+s4UTnuSdZ4Vo3RseFhf28gvNlGgZ9Q+PQ+J7J0s60mVTOEs7IIlbh7KPMaDfmQjRD0hXgP300y8O68zuTOY54UDVaqgIKixwkPzFdivCRjfJxegTeDxkmKAjQr8E6zIZ/mNACITVHd5tpWnntXpCfKp1xxfodJn4EfgO4WFcP3aGT7HPTD88htS6V1H5734SdV/LQ68/6GdBNedI45+BNvbBkswUfKOuTf9ZFlWIzXi7fBzzY6fW/vffri9KvRsBzAfpTTxc8GFoYp8Yr8LtbmRnVinLPBir8aGMABRlPvwuRTJFc7WNmuiyoxF5qW4MK7ja8psJ4+MFzzOhd/T+v2LPMoZ7jup7POv7d52p5zTka2DdowjvmX+A6wE87R7vjG17pnnRgVC2/27jc/1W/jPQXbNzutvyuwK+TLAdkU+8eBj48D26Z4mGDZtjPW8nme+Abg3BS6bVAZ9xw9PgRw/uNzWzaa59qWBNfgrerkGuMc81OECo9LgLjj58Xmlxxju/N8rG0Jrd+6kRZzkjrG5NtdFPmcrjmvdldmG4nM2VCKDh2nXNO9QYrEl2H8e6d74eEwvqHM/j+50OnMyyAYlHlzHoYev90pzJpmuva3bODKkPPOeC5Pw/KJSACeKejKhulO2Vb5ktqr46ZvO/uX+07OLJn/ghftEnLm7rRwwIT5Ldsgy1x4O9tM+St22kRO49Bpw4jAJxnup1PSiU2vx2NhXLrOifWbwA/3uxE+JNepDrQlcIf1C500ldIAYtJI0rtcBhm8ESiyBCVc91XHmORY0TvrpoDuM1tMPgF3gzdqp9PNFv8wkdRSn+FzmmW+TQ0OmTFPObrtmNoV+kbHz6FrrfqQ25RdqTaEyKwbuhbNUdgOavyiMzx4jv1vEiHXtooUorFx8ZwvRh/muvQxQClT0YQp6Eg00d7U92cbHjA/7EXOEFfG7HNDMjIyi0TGKck8kh0cJYMJjynjxvuhJioeg+cp0ZfG6baF9lDa4OcOMvGFqnt3MCa+aeuhZvRKa975whnIW1DctZ+K+8Vo/nw4dR1Pum3aMrx1PKnqXZe2pcMJxIaXV1428mxORWHZD2GHNHy+sh2pG0Ygv48nyWF6xjCmtUFw1PkjX1VCSYW3GwdmP0k2cRdFDon15aS6tJf6lfl3y6vzw+CXHhR/XXXa+f6HXmcOWvSOAms94VdZWQtH1w7zeGs3mXcy2UrQtb9r6H2ciNZxB7WInxNo+pZJk2E3yjxR6ves+ndu/0Wf2tvQCpwmz05I6AGLq9K/pUM3U/9ynmZ9qOBUwb4p9v2ka21k4sH9tJsC9Y5T5yV68TeNTzfT47iJenVNx5ea9Zh4jgtbz/gCoaCYITxnkF7pgulH8yNeZ4EREuyRYab6iBQLHxty0zMfzXc1q2vI1zt80PN/xM3aHxuxv8HiqSUjXZJgdap0EfvOXMslxcN4yXdgLU7DEs0+P57tuSP9LlLa27k1egle3TFT5gKITdiz2YwtDPiq7x6w0q85hAZDpjRNpExWARX4vVjgSTlxRl82M+NSb1cufDMdWJRIHmdNIxWbrVXx4f59Q5CdxFclCSb6HTQ/Di+nTPjsGkPgEMB0lDMefBP1HILsLMbu+cjjd9wlY9H/cSQSKXSLAhtracUVG8W6YaZx9fk7p4K3CNRug8idsj43W9kUkwxogmnzVI4ycb1hRPiz4og5r3V+fVMmCU6T776pPedjVRDnBimlkqz4JDgCl7HhZONkHJDyBx38RDHxsxiD/g5rOw4bANuwprr+ndKpYsHKGwxv4lF81F/dUJgbZGbA0OZHfGZ6z+K0cwU01qrgNOXP01BlmEhRBaDBIKjaPvDlm35DuTQ+tuncOHb6IByKDXAYX6XdB6WHdCM+vsl1HU+Vz6kaGRBdym5p8RoeNHmrBs3E2Hcfi/V3Tjqozo4I7CgOxeCHPk8MfOT1wyS6Q6YtGny3uc8nKiFoUnzeFIClSuX0css6s/FppA/XxSE9aLOkNTJn9iJaiRd6arCk1F4V42/ZSTxoKG3A+k/kcTkQnHbWUVpP6ErB4YofOvG9axhkcgJw+ekb8wQPzwFAfD4hiP7W+S/JX3IcOH1fqhXK807PYHA5H23kzFVjiyFdZRjjhwbrfMlLdiDS33S6mGV9cqI4X+T+Qe0pJs24s6uuDyDxX+97cz5kbTgPG8HTErDLtjRHmx0E59OCW8yLK/swoL9+feLLYzSuOup87NNCPM4N5yl4YooePYFzF+y0gTx4C0FCcMZ8UmBH0KDM7+9KNsK7CkhzkDYRSr20sVBLVh0SXAmGBb4L24PXPW2uZlibAZksDqOddJF5qmwgMWyPzt75Uf6y0tHaDe8BiO65jcJ320Jy4nIuXUZ7OyTnFt3uqgm3H692h3TWq3cqX2VSuirzZKkET0qpil9+j6irBMMAsNT1dQHMjVf1a3gKfyf4tDbn8pb5EsGReJZgbuQW2Fk/cZ4TOCB5rqVu+qm5vbtUmgxryFYeWNEx+kbo99J3CmTm92/OY7XPU6rp5YOm3cqML/rpPqkbN5eF9AVPv+npcls46rdsEHE7BbZFT65zX+Bou2M5pqQTeBtnrx+kfkpbl/ghubiso0b3yTYA6Wymu8e6YRqLzW6dzaqPX2dTiVHOZzzuDOxoO664UUm8z23JvCFE47qaKyDZTtVXopvSCdqcYSZwTXpnu6nI/XV8YcF9UWhxUZf6i2tcXOewD7TAsOhfhF8AKYigLR0Za36ffFfNsJL+7X0TDiu8iS5qf9yetcm2Fbft36bsUCgoLmNJYpIXazd/JCeW5/UdPU8+PF9T56yv0tR1/Jx92+/wyls+yv0tSvl1WzPdMVDnieumtQIELU9cF/56qwtZOxdyz1/OkFuqX7+5oFkohm/rNN52lIpMyxzsbb5Nl/uVVsP3YH20NrS3bzyXryWoPDz55uPbumCwIM2vtAGQ9kalttnJiati30jYsfMkf0dGdR4THyE+dfe98iT6unBeCJmveH0Q/6vj8b7YbpRal9u4odPbcqdXJIDwD7kB6+XHRuxvsfgCJ8UBwDDSdl0IzY1VdxbxvTDcpkS4Sn4X34eS0kjji8InTeamoi7CsG2vWzCeVrOc6u3GMwRibuStVFqumJgxHpsu3i4xpeQ8bhQrFhC6C8LQ9Tr0O9R87XTCgtutJxDzuArjJ4UtnKgVRzxkwUxxSRtx4bQPmisCjxUPExyb0hiYWRemq4JljMLf0jjFT+hteZwhiH2zpygiKpgn7YgZ+ziqE2dJHyWgO3kRm6haU80abrCVqSkCnseU/ra1MaOSJuK6E4EqCv3QGcFOm2KpKH1XlbMOxxgnmfJGbFmrjnuxPwyPfi/fMi7ra9AX8RdF3DHEipaycydgk/QuuuhO32kmu3B6OK0F7ehYk0rwkRKUlBclhwJpM7wxBWBsDCYAy7oEhmJKRnlsjhJ9yjHq6UMhInGvhW4SKfX4xC8XFaxR2VvpvypStehwhHtgbTw7NJ9u87Yx2xL6fY4FWOgeGTdC81P5iivSdfNHzjwvKpiXhdV+NiRagMyAjuBpaTNTMt83IGPtuwJ+xVs7RZSVzsoXMJ/HWE4gThxupT+vXtIWA0QbjXz18W8HjZu+Te004PEL3yxL7YcjGIscWpwKFTxFnN6tfc0x6gzMseeM2y5ACCDWs69wjDuVeVCUvpvoMwM76T7uM+asHlR/8kvke/lOrIFMRDMZTp5nmXRCuKtlyjFanLS+Fvmks+pCzoKgQeU7vlm+OG856cQi8fyVdme/AObp/lKczjh7RprzHYssd4PdA6ewAbBN2P1x4mM/8OUxBN0milNnaqnHfmLfFJ/PfZHn+gGcqjgfEr6fDYNHbxa9XDN4pMC1ou/E+K/G/aKEflrXr867p+saSOVSBmDxy+Z3zo90wXttl0/C8hpdTlSGbCaYl/B1hA0ReLzZpPlRXperDXFgzlGUVzRZ9IrkYG1kJPd1r5Nwmzp1JT5BS99zgEAEASjgwbx3ayuNuS4AWesNW8KzJ0myI9zOiOdd4TXa9BN/+7op/KV+H3ILMu591lKnXrXjmxEUdOOO9+UEK8NW+Viz9lue42MotBF2hss9muNqf9QAIZc34XC94EmiyPqwzjYdxyEDC42wPndZ/FunAZdNBEuyM1mnLH0lue39WyabwFHF9cUmZid/quxvB9d6b5GyLGmZr3pfxa0ck/yrKmb2IE83SSD2fzTjSo3m/tR+1hNfbWH8ciadVkedBDLvfsxzGPUbXuh6jgdtxZo1Ooo+Cn/VZ0MM3C5oO4XSf6ooZJMJY3jQqW+rrBttzpMOlniv98c2iWf2qjaJdRubFgneBj+EI57bRTenoNHk+yow1hKbZ6LLxt2lDLjg2QrM09zMq61h5zXsIxOseAie72NmehD6xmm848N1rMxLaOxQ6TcrjCZ9O10dbv62lo1eXrXLf7dr6ab9WgJGBIydjh10FXpjDlrlvlIqbkwcZV5yhVyem+sBVH6dpr8GRFUaafjWIof9YcfkCltSqj5l2Ap7rL8ODiljNrmsByCd/qMEn/l3/IT+9pS0GZtppC68ZlyaxxLwVRhIRo/AfkR2yWo7YlOIbb5um2KzTEq7KLCd2PYTIoKn+44eivPrCTm34Ye2jGQsu9n3GdlBLStCvfZvsIR7gRXTzXQTv1/TYvCi4iMbGUUbxSfwfNGmtcF61fCjXtRfZA6mfUg6vl9reDkObd53vBsE39+5/NiI/Q2Wek/P8s4XTxIqk5B9Q69u4g7jNi8SPuUSTkJnFhdGZU0Jxc6SEC5+2jF9SG3SN1kRRquoXaVB8xNQMEN4UVSw4tC/DUOGNqjT5ipICSztujOO6y0nw3i8obyP9rZv0+nIGx7RNhohgzInSidHyeHrDD0JdGOCKsNBv39TeiYQd17X1FUuJFGeHfM5b/Iup6VZyBpsnrI3KfaHC8UJZxRj3rFHU9IveiphF+i8+ZM2w3yOWPkwIb0YdoW2I4UFK2o62grFZMcwfKwOK9J+qm+kw3XhI8Phbd7eZDQKcH4ZCJanzIvtWfAZ8sNoAhK5uGKpFrzhKUC2J5aTSvLENLqqsaAANuA4cwqJ80OD/jzNUlof/nMf6zSlCaa+E83yRjfhGTINRT8Z7RFlp6WP3Q6BltNxKsNZvT0BHIB+wE6TeiWkKEsBoLvMlKhsBbpCF7hF0IrDPuZ1VA7a2Ghy/ITpc4zlxIAnTp7aJmjgDQA+JdF1bGYCixEYaaiE/nFxw4nFhxGpKNJpUG//fHiWAt+EKU2eMjf9Cn9POWKunHAEi8+t89EIGNnGuonT5l5iMvIpeqflWNu+yWlMhMdRFTW1k6xxurTRK9lBFfR8Iq3PtJaoHcaTUARpOGd8d9zHYngLmaOIQIJ04pvme6T6keEkecznDspbxY0npf6tL1+Hzl9Cbu6TBpeoZGtgI3kAIAVIjHWOmXbY651zToHRtjwJzz4wGXSgu47x+2np55BN+qB7d4Fl7jPPsbF62qRGnvAYWe6w03gDQsWIk8wUPAQg8aAoYsjh1PdKARJOIzy3zINI5l+OMfqabcUaEx3BIjCZ5qcLTpIjJUhkcbi4zPe1RnMYeLJ624HJvwksBVK68RDDlq1hBCzpSEu8KR4fBz4eB75+PPHT44lNFA858e3c8fPzAVXBxz4Wzs/7A08Zhrcazs+PoRtuv0zYTkHIEMdz1VH82XRKNafom7H59/UbKfOUHJwuBw4dqYKvNoBKf473+NtF9hWcTHpbnuvQ81gO1kCtqkeRvPRFGHYK0Un8zX38KO+Xqgyi+VsQ9uTyeXF2dFmQrhwinlI4OVQqXyuwLFfNFD68pDOubTCvUWC5H7bAWGGaG67rOIfcpYAH4vOeTam9d5V0HbYp1421CUPwlboR24C+oN75ouXmY90k6dwOi8sHzvqj9M7qd/ZvskVAbWLWTX0e1FYp0wehiR5TRqeyCVsDNJ13h17XyTznm1skH8l8lttCA2ut5w5dDgD0d/sM2In5rLqgydxkpwsiYHPZtKE6q6GHqRc/ZeoZUgbS8IBlPTCdGi6rLAqZVJrT+rCOQUt3ncywl65fJli8Cq/FBvbAEY+/8cjWtbhke2DZy98XXsDlpeOX5ldMxwv/ANXhcYT+tNNkNP4It1sYRoVvxlodVx68fgRW5quSQtcUXccUNGzde8Rahb3+2ek2DV8Im8PXTaXBY1ZcToZyp+VvQcNTq4ohFz+9Kdo0YdtyaRCAHyy5hMvhKThgn1rwLRAdUHvhe8Gs63AoTYLoiueEF15fV/DynJZxSX1eeQb39z36nMN9g+b4m+qx3TFgI8Zmtu38GMvBBWDlB6+WNtetvHe17fKYgqZIb6h2fXRBc9yVS3wtsiO3vfgS63z7mOrcP8UOsOjKl9U2X52fszynrH3fQxN8mIjXF9v2IVtkHiKJIG2/SsbsRk8zLPHvxLadYwMWgIhiB/B4HDjPDcexDf70OKHYcD7p0Icjr9B9uqLR1/ShxucEmoIJb8VWv7Z82OW70Dvtikr2S0/cK8IeSG1V5pj7mDRhgUC+GXuUD5TE1UXg55RxzXi7UmnZm2MfyFsL9n9/+bER+1sttEDaxVGIt22CotFX45IMTmJYbUmMuueWy+YK9yGljletsLMwrO23BrLEvQZXERQc0TxyuUswnJkGStaxV+bOznB7z47XMMwYD1upi0bYSMtLWjja10rfFwVoMap1jmMppKhFNG6td2YhxzBcwta1I0PwoOAv/e1gMd6qYEkKj8kvZuI2B7Gx407+QofrKVlSnvzEyTaRmvaZ3WEtgDaIiPcMkxHS4rgoeGhPwqXGMZFseBZgKjqxyWN8gDbPO1q5NF6cJk4S4N5P+k4Cz0lPqzRT59GbYP2uGbekBTga8JQe3t4SfWsDGLzC/jzKPZsFHt57XSKk6xro1kGzRsIArsWfs+J19uNYNsT4HUCGRm4/K9fED3HDD6wdxgWDfMmWqpLfVWFFkL/TBn6i01g6Ha02cF+hW4T/mG0NXkp3dtz1Yd8m/hv9N8pr5VXMw8oadKdP4g9qNEFRwauij0R7c0OtB8/rXY2vPY3ur53feECN0Itmfsacm6zGTDmUxsFzdmNoJFlBwU+TtxFC3RES7TURm/6+zAXL9TkQQkfFY5Ih8++kM/h8cLAEN1+fVVqpjqcrfJEsT2tNJr5017nBGZG5Pp800ESXiM3TdPcYVl4iVDfBx9PDf59Y8F3xwY659d8wordNsW8nNhvDZhutD3vmIJ+MWKKRYaAj7mXcyVnghmTyyWr+uUS6v1vKHL7kQVwuGXKG7ervV6W7KzRXQNBGnb+xliwQ1PjlVf/8bb1i5Ud5o9zxzaZEQCrzyNpe6EUrkbWbseU9f5tsQi31rnYwqsJhPMKDGl9mQbK+IvWwt/kd40jgbD0uFp3jnd9BPE6wyJxOT+DvBIQL3hBOg5t9pgCSTj+qsHg/hX8nnbK2WYNUHEYlWK94G8s7C7Lu+pYLckny4c2ywELjTjJ9L+/9RM2GbEOKToevtxGdURs03xN2nToUtQfaFJswNHoMcr8vHfVJNhuPDwE5u4klWE/KVRDqGqCxxppneX5Diy3cpctLOqrPOoFd3rEt2dNmIboL+k0yzufeUm12myoBQ7lXuyth7qusdlDoIUw/WvwIRF9Yvw2dGbDgNIn3HES+bDCJzgMgzVpKdH+x1uY658Fr4DDq2C/TXCQ4yfm+6MhoeDS9EFDGL7mp+06JNa3p77t5jbVILLyeck+bKzZX3cZYKirL8ypSw77u1m7BY2re+JJw/QYWZlft8mM6kSkjruwG/vZSjgBzM9tllrjOML9bfJSMnEb3SDYWJnrb8VUAW9q7eNbpPenvG95+11e39isOapvA5Dcp+P8CtopPW7czoEpydjJf11Zf+DtY/XhhbXiWgIsMoCy/q28VmHza5eT2OCHb2Gx9PM5hQ24nPP70VMW+C7ZNcTw3HNjGtWLnkPfnruPanYr3oLNgWBlvV0G0fL/rFR+6mbeOPDyoetplBc43+vluu7bwje/RtSvvAQiPlY+8EYz89yo/NmJ/w8U3XD2y+N0N2EhR7JtdhakrbUYyNS+bnVyf4FkErcw2+cU43VQWnCDfXVn6Hgy5KC9Y6/t7dyJU/CQ4BdBdKHVwk1rKmGMoPJjvEwwbEoP39iAYJzPdOAtFzL71qEMaS8hoVq5A6fnIyOsMZG9rO+cYWDGQI6NwnmJhGDKNyIlx+oyMMMB0vQOJgYv3oVg30L09ZHhVMAW54SpwzuN0+CgizZ0NZ3G8pyCCgh93NOvO+NRQCiDjxF+HW1HM+zuvFA7RudlRFDLEiUiq73Tg972yoHn4PXf2jE7H+Z2gfII91p7d16I6ThWJRURv33BZgtaajbhp8PBDzGj0GL9FcdFH55dBU7wBzYrhwIdGm1A7ObphbJA67TOcW+EZjqITAxjDs7fTjvVhtyQc4/RmvPMoPsKJp085dztNSPjm+7KnIWjw1PTamO1dGRKxUeHllDEnMg/txnd2j6hsRrOlrapozjZnM6KI9CxyAtunxNiDfwC2XngiJi4j8QCvTYfFN1P8NENStO3dQyM9mW/orIEuJMNAtOfrlmEqwQ6cmnY+dIJHnDgIh6DhLmKG/FSw02oWk4TXMcA6B0uKuAQn1vnBTNMDeh0/fY2eBCtXCvoU2kjDPA1MfEmAcfr9nKeLkzNQqE/HV4WX+SvxXl8DwjCzYwOY/5kxxk7WGgwmNK6Azfm3O/Z3WgsHp6Hydahz0xC+fgXdPHDmhhiQ0eu5jTnafsk4SLoAb0ABy6nXAStyNG8NCtphp4pBQUD2LmSq8zvMTb+y4ZnW1KZjzXoKfr///EPn6W+XO77mU+o5WDQzIquCHE5HhK+muC4zs61gBvA0p4AFwPlhp9t5HlhWGI48Als5pdQGfOzjNKxg3AO7ieLrfgIn8GU/oCr45dgjTfG2aRywgCj0y8DP8QXYIdBPElmbpOCGuJ/a07Nj6CdxeovKMPwH7a78adJ7omHvSru2EPrjWeiZjdW0kVHw/bIIkMKqdI6rjmHq32K0Ntetb8YGPA5vlV/UT/v7j3JdLJ1v64CRJgClri8g2X+xier8cmkU6xxetV9h6TZPdf156bQx/rdsxqr2p2ENztp33ShmGNsi5fcqR2RdF7Usm0+CYZ+y3OKNPCDuRuc177wfuNjgYdlEP69g5NT6aUMqzUf+GVenODz0M06uJlhH2/uxwhv8wmUF8dTgjXwq1nUcx6HrBwX2kL+E/9gw1MlLeUq6jAcVl3ES1uXQNvGx2CGMR8w6c+PH5S8G/XqqQD9hdFK6Yl9zC/5GXdkwMllw3TrhoVthyWrR+Wdcp4sgVi8s55x+6mbWQxfdNzUfeB2CL+vTusIu+ZslsI9/p7HHHqR977rltE3srlVggSPgo/aF7nVZZWGB1fVeH3+RdQLk9OGSu0s0rNagb2iQzufrzulDIKh0B8zN2WQ70fzNda8TPqOZQbd5IsecW6AVL7TZ7LSv6DvmRSpmbtHcdQdExno1BIU9pxMHjDAZunvadHP6DJ1ZMpkVXhm8DKjLIuOVx0S28WUpa5gzDDEc1Y4MPd3p6g39qN+UyfPBeuci5+pwqnzwF+xf01yn10uw2pj8Hf/dHdxZALM/PfBHS4Ymn3+CO+ReDbgV+p3glfo86JzGzXNFG18JbpdpVJ99KPC1VGX1jQI/fJb2B9Mgy8E6v/dNLnVUyXdQsgsusCrggSEhv58zs13Y5oV3d0G9KWsK29C0dusYY6zkR+cMZjHPu2J/jCttfvf1G748jpGemBBzqmDfFKoyTsTauxOAHoLzY6TxGteLTZ454DI91m15o8FzN3J0G/sG953Oxj67ZQ4r7fga3+a7+s0tGVythwJn20ihjSu9vgt6934CBEXe66ntk0y62yf7W5YfG7G/9RIMZlIdE9ffKwogGbSdsOC6F4vru8qVFtTgp/9ejDHnTdhWeDTtp9/p29jUdiZf6zcC7y1H2AXTXYz4Cwbt72rfi0FY3rvuPQ243F5SrgwOBeb9s8nJgTB2EwwVphdwA43ywAK1Cl3wc2uM5yckpKzf11KVtGUAK7wqdBtEERZhNrKUVu9fszBh5fiqkLIaQqpxAjPoi5OF51nncylth1PF2/ONYqvj95uONLIrbrrNsVAMfK5qtBOvOd90uEBFHd+V8n8Jz1VphHw8r38zMIrLNTefu8YtCe9qimpypNjYtcyNa/kBzrvj8u+LEhvg/xpe7dMnGBtABz9YG6wOh7W9SQjBn65kQTQKt39uiKW8f2d+r2D7Dv4bzj9/f0OjSay+goX7uIPpzRKO1g5HtZC8kAonyxJ+Vr+/6P+uLLLwRZtvle/Am3Y0w+20z3tlqTqLc0f5k85Jt8hlYO3G5Zw7jJnvukPubj1YP8l5UOiXeerCT7jpju4TT8N7xfvbFLKPk69CDW9mTJ8EmN8Ve9hFxCKI9NhwvrWNF5dBCISL+J0HSGzvXZKKuh2JvJKltfrLk4q4xrHiXp/2i98crl9T+mXw+psf5a9evitCvZZfM4+/ppu/xM59k27u7tG9/b37+2VnU7b6CXverEqORCCcx5fd3MEGkuPcZuXxb+gYS7DSTf237NzloxdtNDwWaPQUnfz0zq6Lb13vZtyXDcX6+wzunSdgl3nrh1XgVZqbaR8qP+Nrl6ptVGX+nd6L17zfbcjUBj9nuX7MOUp2pRD+tzIPJm/V6qoHf6Nuws6+YvP8Vh+/GReN/XLoL/B2+ZHQnaN1bpD/fuUfaprO9JRsQEMid9zp2d0uV9vh9avE5xtds/VTMGFczY3OMb4sMrPBLPN4oxC9w4daPY/WMtPeq/a+y69Qx37X+HfQJm8wT8AumrqYF/b1XJZXFWg9+HqPV3Ut6H39rk8pf8+HTSdX/NJ/+r+XdI1e72l3yka9ludyfxXXxOsXGNgArH1qzhL3PeWlLyZg1tl1hz+GH/Q32YtCQRDV3ovNaNAwt5Vm453Jj2t4V/gjIMPsXhFYNqUTu2VUEiA2Yk+V8ft2juBeC272fxFQ4AcQuqD7qhd0MoHGdjXF7TArb7rRz8K3QzD0bTYfc7uFXn6VvhcfY9XxX8nzm/f/KBuwXn5sxP6Gi9q9NGNjxVcaXufQjkV5o3Ve1ZfRLztj4qdFSs6TNoLtmBygRs6HsHIF/YnF6K/3icYdWRcwLr/bYuzSFvt73YswNtg9si9FyVwZOc406QRR3A/kUcF8Qszw5HfdxX2wHG1qJ0+3Z8YTn6jiaFOld1Eq3Ked3mgYpJ9kSeOrhRg6C1oVO215ljoEjyji5EzMPQmUZQ/zOdsOGiED0BUDLXgJUP0+2binldoujFiBGWnICoD/3SghKoiI5Lj7wE7lMb7HHR0GixnVkRKoRnRuwMyljxEd9hx3F+JjDFaetv6OeSffokwQfqF896t/Qzg3WP1u2KBZxTwdynPEc0hl95PXHsigg351wzz95VHsftqZTvXWE5ab0eNhdzcCIxjcFTHBHIcrOJuMe2zS3CmlmtGhGPkdrxEh6yeN9nFfxJxgxGbhjIzUeeraT7nSPVqjDmbUZYlAHHbxmJNxSpYXI/LJZgUU4w7b7Wm8aDdO+tkYEd6Pw+5DsRMVIgrYnDjt+VxP3I/0u34isfOrq9M59a+uxNIp1XQK0RsQxF2cEZEKWpO2sGNNWSQwG9h+GjDuhWRl1/oIxxndHTl47aCP80NxfEVmIh7ZLIB+5PXR4vpCC+a7UPxEOhsacNpzHukw+lg9mtNTpguAHWkDnE+R8HpMmz5Eyn7iKebU6WCBHfO0fn3nsucT2A7BCY17w8PRxs4400/8NPhimMUployfkKHWXjK4KGo2Sjcn/ixkpN3teTQDK6c2WqOoynz7Tmy+IhDF15RgngpFaYuLjVkOjLu6gHSSB8Zz5bSlTSdUnAdW23uZC82R2LqPkwDckOsPcadqGr9GPQDzXto4nTPvh053jTfympvkzcVEtyg8A0h6T9w5zWMl2YDNx6PAxwn5OPH1p0/s+5iM57Hj4+MTH/uBDWMj9tANn8eOQwW/fD5wqOB03iRjI3dEegtUtrlZ7TzHZbYC+zed8tPnlta+NZrHCczFXWiEdZzFmMZ8d/VtOCaJhqtufWUoT75MJyqVvysbdSXFFp+O4eBMgc5ArbZfNfhdlmn0u6ypC9h/lDeK8ZgleNaLzxWAyw3ZwotfniqlX986XVramqeui+5b6YDk0PgpTaXr8tYG9DYDMtIdpp38rDIw8QMkfqakn3mGlXqqdGnPgyx5ab9z+orbQYbD+XO1h/LAjL8VeXda/wLMFIH8jcuuzSuv8C+ghg6YZUrVE9KYBVnXYZmEVda7LLxy5vHJVj81WP0ufGrZdePOb6BNH6G3mlzxO0LTN6JIqU230k6dIx+zy/aiM7al2MECk2V02nPYC0inkJhPu565LKWoI9NHAkSmIQHGfbaGi9DxeX3J7LMNhlaSsVpgMDrWzXxKLus1VKahl9vJWNaBdLesPW6rVV2x4hCDh145zTvZHaMIGrG5oGOh8/QS6V+n9WZHwfzvqUfZRDrsCY6eR19uIiXFc36TfDpWb1NqRjg7lfF0lWRrDv1p1ZGqXuh0HDYO2b6RJSb4gmJpsMJTyaekD06pxiMjkgQciZ8HITXZuLo1V+UViJ/yuAue/XnwmWJTSwNXtdO8ewHaK+DYpmAbg7qfdSsOaHzLCUcal4J4CD1zPi0djrltb59h9rl1GaCznWjPDwdQxpng504ylCksaOxkwHpkLPq6wRF9s9wq87rIdxA96IQ1eGm8ktQOlxHKo9dBKyQrFzhu5HLSW8ynsdwJyxmVADqNLDObkmXkmn4S5Pl2WcN4rToJ0ch2YPjgpLArl82WKc9pOvyfD4N/V8jjxJcvTzy2E18eT3zZDzy2E7ucYTeeOo7XbPsxUhZv23Bd6UDk8VWxieD8mOMI+5CyHcQ0NHrWtCHvJmIVQV391p9tdd03fRIdJHffxd2w6Vn92VW92uuhv6tM8sDElrbFyXTK3Fq609R/7/JjI/a3WKrSd6HcAZnQgZXYX9W/heGuqeb9y1Opd+XSULjonpxDYmlaAOQ0sCDhUYctQNwN+wZKFkOOv2UGS8pjErKVMbhSQu9c38sdXwBUxpWYjZZnWp8bA7yghXDq1VKVGxbePJ7altA3F0NRah/AqtR6Rf/pOCclbIwpC5XAQaNoxJ8dGmh8wznrUl+gp0Utd/hlpVN0bmZV5BRlO6FG8797OD29K8aGIs8Rd+d1WOmvSi+NpZsvBVIal+UeDyAM+I6GEh2wYVMApfPEAYvbmp1By3Qu51Cy6npImxRxuoAIheonpdRp2+eqAkbeLO1ggikNbMz6T1r3kZaZaDkMmsC53V1KqWtY6RTboB14VjL0y72SpQgu9L76jO5Jnl/2hR1Ukh46vQ+c8KbqyxJrS2OcbceKofDfBSzJGI87W8a3pQor9LnraMMN9VZx7NaWUtCAPQvjmjuzZ1PhbNquj2J9CebloPPjaEOaz5mfV/iZd1088/UVa4f5r88JnaaJtIKdXPa69Heq8uLvBF+zTpJDgya37u/yWl3G18inasws8Dl/KjhK9F+dftxGdfhV+VN/J8dtbCS68XwrX5mhS8ajvWZ5wmmHrwyoOQa0tJY3K23+fQOUv6lrytaxbIp9PymC2VEwfjl0w/PccOg4CTs2YbdIT+wApvt4SKcI/YblsgU81RPC7Zj82+aUrd7gonXY3BVel9Te4qgr7XflLqo4OU7dmD+BGox5tcF3F239jxbN/Jsv78jWhm5uq1+lF27qfW9p53/RM7+zzZsUx9cfYTqku7tX79rq6sr6kzMqxbvCd6LuDbihZ72YkquNoq4kMeA8r/ARlwWtPtH8/b1OsTu78RbHmHyv9QEUHFf1a6Yd1rkxU30LvoFq7SW+TTDUd3Uil0xIIWRnY0uWpZdjJ9vznaKTfubmIx8EQJJvwrza9Zri3I+6FPytAojMK20ErqqOdJexzEnnuFUsqg2mDWqqDqn5PtDU9Ks1jDfX0M386Kt6d836HNj83G1WdGunXX9sl70LT9eu4b71tVUbosCX1stNX8meLH1/Ly4XGLn/4Pt91Us2VnTUzoa8Ku/RlXa/lgY0fgSsdzr5Xd+VbxmeL9ttbJGl66v1dgPnUgi/y8GkiwkavIfeXejh7Yb/hX7u79+Ct5FNCWavR+22dp7M9/zM27xax3e2We27fSXzH1+BFPKKx5EEL0J3EJB8aXlRHlvyk5Sq7FITxXpqFh0vso82Db+uxOlWOxErI4vSBsVjO6EWLOK25eF0wY4cGW0OG1uST3rA8WJxB911OFGsUU5NE2+unaGvZYL8HlUh2rj4JuyCW0b5ugS9XslSxWqHLHLpLwDgr1h+bMT+lovCIu1vCA26EmMVFOUk63imsWnBzs98l0tpaB/cME7qYirfvq7dsJRTkQxMg4sdNbyBOhhvPg27GJfpXafVzncpysLar/cphJFtAuLcZZyEE+T7+mTcWRZ37tp3zmz9m1GHxsqMeJtM5Sp3ebupWhRr34Q53fnJJ1Q92stP6tl39STrvI+XNrNPm0IzmkTaoDkClvrVOZ7Ae1FkA8+av3Xc1LuGlE9UGu3OKGXSHnWc7lvuErF5OKlNhkt0nhhK96SEsxvTaU3P40QsYFG8dK+M2Dsfm+NcMFJLsQJjSoBiw7ljtOEnubb5HcRxMSSfKOLuWP9dgBltRictl8h5mW1v32iOgHxvaqG5RAg+p4pxmtsc5qdHfO2DBuRUO4EttvkgETEfqKZTpfsvEn1H9HVRSt3pXTfphfDspz/9lGuiC6M7P3nqDac7RZ1OGR9Mr/Qz0u76jzP/DHy7BqrIJwPDwSHToFDEva2g9QzAaA1rEVgqlOk00gfdNeMgJwXeFrjDTHytGpNzzqtgwYwcF0lre/ucWn+6R4Th4DusZSiby0aZ91PaYE3QN1LVI8nFZNTu/JLwtmFuOvN3jRYcdOV3UjJKFHGSVzfYCcHSAPFHdZz7q+A9VSBNHs+G4NQFiK6on25z0u/55pOc3B4bb9HOQd+XtcORuoEfAr2OOwGT5D6SEa874fU555PpcYmaTWuyWxTc/xxLBDPQ3MTmZ22X+qoO26ULnuvy7OTTryfsBIj143KKNXXiRdO3widec6BK5zzU3e4qBUJ+Hr87Bx1/OaeMITnTOzoRel+6H5ayJjAdONl6MMxmGRKqXscfBF1StHoy4oT4/hfkawa8zUPw85+/YNtPfP36icd24ufnYxrNAJ7nhj99+8B5bnES9jg26DlSFUNlGN3fNsinYPtFIJ9zLSSH8jYATOnj6Z0CEDoFL4p8QrmUKX8kiOjS2C306fyFWXRkgVEMPc/1KZapftLIadvTTDpviGAridOrHSwLDgyuObZ1EK6Dtu84GwXbBz/KX1TubESuE0GmWp7V75zE3rhf9S74M2Uvggzn2InsYG1kTm7E//WEsvT7QmRE2STsvsiAFI42yXyIeQDxMNZ3/affF+a8sp6u7IKU2ERxvu5/L8XbCd5O/Vc1xdsjeNOpJT8JWXXCaAAhB5YATRo/O1cvN1i9DspU8lh5XBUWGhPXTzjxShu1R+MHXF/QkKOMP4fdT1BVWz/B6/ZeeR5w1+8EUGhkzkjPQy4YwHHKJvfhp5AqPu5wLgrLWGYZusj/0X6neT6V6/F8o+gH4vM6APLNEd0x7rXdEfpGxpPzD8wTazY/w28k6zcgOnQ4Al5B2rUVCm7j9SwzA1DSx4Gku1/pNIyv0PfqyWaW3T7HXSaJwK/Z17HuCv+tV9r42AWLTZho0HWJBXbnz6Q73zmHDEHVj5X4DP/tYwMiU48w7IXneLarGFcBmG3HyPoE0mGcdq5kQOXpDqvN27wDFxNn3H7TbnEvzXqdzlTXW13bmO+XjDgwWJy0tQVnFl6rzh/d7mtomANJYy7pZ9IfUdqJOc44FMG8H5NVlIb/d7Bz/8GXGv4XPgb32z6cRjAnhmAXUCps9xWk+dP8XaHTYafPO2ov54LqC6acSe+ZZ3A73GfwMJnPaExR3eek4dUJ/17F+j8fOubu4ZuYiLuKa7a7ueMtxq8QdqPLl6VPnsN6qtH4Vwsny2waPvMzH8M8zWswPxTbQ7HZCdgPCuYV+rlbSmIP5PXnApdfCv3Q4VL7UGwQ4BuNayMZjDm+8NlavfB5y6C+pRQCSv4bvPGO1qk2z3MDsy4/k/a5pm8WsH2vp/CLu28qvFcl7X8xrwyY7jr425QfG7G/4dKlFk7Ozy4VhgBpMzSUNRNCkSrXFFszNC/TGAs3PyIJQ5ECcoQRM3yRlTl7ezrHNhmT/XLh8OE0yW9FWXuVUKLVlBVKoVyYQSghyAtfgXDsZyE7lZLYAKlpHGncLtRcVl4xyZpGsW6MLQqOPa+O8VDETkCO4mDR9Xt2SKtQBtQLdCcDjYUh0wz34d1e0Fm6I8k3Xi2drhsR7OR1wzEZW9RkVip1wiNlXLGxi2iQHRg8Pjf44iQc1FKKUs+8YeEGYuoDM3rqcQ5D77SUxD4IglO30QdOjc1aNipjjik6uTWWDB8b4TTSiZ1zbaVNOecdAOKeZU7/YmPaFJH+I9a4GUFyIKdo1gkLRGc6ZVI4Y9Npm+2xcyMrATM9rq+rMBhgc8q0z5shQDj8wsB4AusCJjQaLLEOAw6bNjcqHrQ8ZH6X+J5vVPumNG9yUF/VWF6U/m38oQ9L/VVPDjcWNi2Lyfotyj+dxi2oSE6uUBzp1G3wIndcNgE2Rh+IOaYKBhivUQ74ibRpZGzHGDYfyzToVTHuoKJ1758nGmEACRRvd77P/2LtFb6d68+HLANyJ9QuN6MTX3IC2IuKHusqT9RitDRrifvgNaseMSr5/dJuL67nWq1yzvux31mODl5RkHe5GzXb6+TJ8lnwUvudDMGUNojkaFpDTPss3+uYpeCH59jhAq0l54WWoprX3ZUzr65/xyH3E7qIbca7oTjSMBnDPmVmyvXvCi6FdLiQKSx7HC4aU6xB57WE66D91Elu33lzGN/IuGgdhQocz7HB+ngc2EXxPDYcp2ATQOzvb98eUJUwsvW0k7Gnjd3ksDwt/TJfJcFzK7ANGl14uo/n3Adc+6khK24d4j62umZKaZ16F+3AxhRwcepgf+9w1bSuJCP5RFR1Uladmu2SlLWG/q6/Z9jtG0xYf5TvLDxHmPj/7mau7nUHoLghwOUjgim1Jfl5lfcLs6D2FlgbOCs/e5HyrbVdnOfTphvrEpfNSV6rU2+Sybet3cUukQb+O3n7oiSd7WXl/GfYlhd9u44Vv6PBewq4fhMGnw+u/wbeuW60hSwnK56r/hf2nTlt3akODJnhMmnRXWcTozR2zy28RYYsYwGgKKddKz6c58duTAVuwhifku43099a8zRnHswTen4zT4teQAGlCgwbRwCYrRn4940ulHa8OR6yZjpgf0eHs4qHZMN1+NFSmTa6luodjhvdTZRM8krXHW3U/hQBh58d5k33+bks34XfKObGZKzRyNWaulS/LxjJLX9xGzE9Qxpn2APnpLOUBncO6VZHykBleRX4q06+K9hrP3LxnBWj7xCNtfCaCt/WnRxUSWt06fpqTfB77kcQ+ursY/4LUMp8OOzJb5MGZnVZ97SPF9Wz8JCuLL4LIOOhoxvXXci2Hc8u9Bxt5PAbhDdt6CI7G9qptk3Hx+I5b2ZRX2enL7SAlb8rrip4hKO40sjTEXumQJKNnWEsJo/YT9IG1DEsjZ7wiiayP6dpnuS9urwRtTTDOjZWGwRu9OxUwVmZnPsX/Vob83m5HbPwVpexqoleVeb9vqJARC29exq24WFv6XuCS1vsnXU4O3vjHcH4ah/nbf5ubd3eaft3NiJ/bMT+BovKOCGxHQI5MgGdj05bAtyBeCUAI4pXSzuVp7hTnU+cJkExn3eCzo2XdK+GVsVeiflkBhp8lIU0LbBkuDNqllNyxAg3Omm1yXCQEcNOBnG5p8/rjIgOmfU3O8Ui88TL3IwlAezRVq6g7KPt3U+W0Kbd9jk69dMM1Vh0w68T3M63eV6qsPMNtbRRtZf0lwbXOFU3+485IYXNleFLhlne5bsP6IXdM3n65isw7wiVAYfarrCQ9eT36lydQgbhL+ZgK3eFVAWXDC71+btSgjHfqehMDczv/O6fUDJGamM82VtpPygSuE0rFQJ81JXTTuzUk7A6f79StLy9S4Vo6qmt8paUJd9IIQVr+0TcH3t+ZFwlw1wk5hnAvIPVNjFjXAVXExYJWkxrmk/f6ppuchkvK0sboN4pK8HI4w6y2ObfTI/sfIuNNNtg3j6F7s9EbEDgbu4Mnm4jJjbWn8B2mlKSHH6a21KCHdS+ItNxQzfBX5oXXSYCOWTCoDJOUYP4G+bfEo5/Q7qUCOmG4cQdse6U8Pf7TGkdOHV8OJ4FAMs6+0lVxnefYkYIQlZUuklsgmg22uA5jc8KFlneel0PStgV50cZfvBC+0MDzZMuy0lWAGtq2jIP3L7UZ+744U1byXDFVNEJcJ/f5K9wWAXTQCP88vdLKag7d6IDn9IkD5pGmCasTb6/ddk4izVif/t46HT35Satg7DNTA2Mh8RorPJcIxpOUPVOGoSHLrNjRC77a74f3YsFSMimY15oaemxjdi1bwPYya+kz1bA43SaYx6FtdQMAmn98akOwQgYsucb4+8Q6NNOpX8M5DyfO1RlMa6fzx3f/vwBqEAe58j68RTosU0aO2Rmm/D5L3xq8mjNvMDx4nNNfE4w5R1OXWkl0ZjERCfnQodEAHHnj6155zfBd4CpbxX2mfqPiUE/j/6u4CE5Xc7xYLlPsd4fqvUbogNmnq/G/qO8LFebj1fpotPGetseiJ/NtutJ2rVDTMHn9IUSGHtBa52eumSKWu6guqnP33VFAL4bdnnHdmj9yf0bD5lOQEknYcPuLDaMFjwteNE5D4t8xnzuchdcp6mbRA/LKuIBd46xcMADYTOJ5ndJt+XuZcKaxohSn+HyMdXThVhxUQMuk03N90MGvnX+7XVIRxDbULpZIrEBO++YzHCKSg6UveNvzGMDds2Bu9xGzEVeUFrmxOWp3/ub7jnHrMdBhksAsLd3YJVl1Jduow0xWt+ecw3EiTidc7XoXCC41HVCGXNlgm7Z5KP1N+/hpRruT6Dfo0vqy2XwsmHfFYf1pH6R1+h0tDffq8QBitbfn+xhCnSuIFzwrXRVEiY/Gvq3+UZY/y0bLIknNP1MukNRQGaFdjO2K6GMIv/0NYB+OoLevL8tE9CyCevFxqVAtlMKrG9tbhTarW2Ebsl1+acZqTJ/be3+sA1QdFZfFg1vaOHhterBkBeB/GlcRMexPJxGbHlG3Row4HzqSmcIepeWHywbj4Xn3BbnHTy8KmepnSk7qYI9rGYbv4+g+pAl1oz7fHS+X2xNGlddb3XsHvhev0s/eVyk14ftCcxNVn/kJ2B3QD/OnOGN0hNPF8r8fvCwETQkimw/dn5Hp+mqJzS8MvmOWO6x/wCYKdxhPNUbsBOxso/UxJvxuePccG4ndozrbHACn+eOXyy70rfnbhmV6FobJ3zPjsj4dNwIwafAdli9YjOy3yYvYOR5YZx5Pw1K+bsFf/EH4JlV63fBYyuuuVrRGW6LXPx+se4uC9P+P8CJ11flx0bsb7Ccu+D8GCt3p1NunMKoOsM8mmJJ3WnKbmVmi8PcT8TZ6rtamLcGA1hhxWCAqqszpyoUAKlmU/m6SsmcIuaV/i6OBIHi9LSU5gQ7HwLdc0op3SU2YZUcWXlgiM1d2UaaOd+IjUhpSyEbpzlPDAPjHMIoGKZvVvHJt1NHygYBDodjOdWGfOrQnwnCEEoGEv+zMfGpSW+PnSGbpaw+d3EZlgVAUSBTP/y+ClLDXxRSLgUaaT7PLwSfGo7JOFPIOBlqc7pk8JH8k09duqFXDUY5ZRFMYw1If8qN+1D6eU6jDaKD5nbrm1M5qgB+6tKUmri3z9pazBUjnnDu+gmqn4eT3E8H85zzKZa04cFrqxpxfir2nLwkUnJHHQxl3TdUhw4SGwU4ge3bWFPH7xTnl7FO/fTn9pk3cEakHc2JzFSd22dWVNrSKGl+qnOeTs0nLH3eF4Wc1jO4vs8B4QA613xKB+YnwpwO3HFw2mnkU0ZqaFaEiSY7fhnGJeHY4RVMmN0BoE7vu+L8gmmolXGwzczjSs/Lsr2bi5T6ShEny2A8McH+8DtvJzMOHhYn4yTjZJPFOeDOrplSTYwPaWhAi0FF/IlPcwDUVwSAjBTcekqcyuf54iLUXqzFdJq34KAWP8kIhJK+2VyeH4rzgXRSL+bbZJEcY21GOyVAQ70PyXMdPN3otd2MteCidHLCCZ1Sp4+27G8yRFMQkdp8YdKFB5RE+iCfd5+3Kn8YROcjAuDQGQAVE5MnSnz9c9twOEvasrMEiwAzravRyAZAnrnLqOsOCOcZJrsSfn3s+8TTTKecqtJHCF1FPMOJ8dLzY5yAjRRSpYGI/N2AbVNs+xnps1UFh+oIkPq2Qb4Jtm8z9b3QvCyA1Xeh35Xxlm+irqztn5S2c3sKTpeNooPP2eap857jueM4toh09vL8fED/NCJ89GMbNPuUNGmRncFpdkek+M6yVReZOoAFNtNzeDNLjZepE5Jf3eE6MumCEYRQULzwGiXc+tr27ywDzqjnDRf5UmHXNaAisuoAGaBGBkSAJcsQKfWLfhZXGCRdXzJc/uhOB/hRUmk32ONdw6QwadFLypJU5zF9WOqUuXuVEjmyHF3AusChmaZHG/ln18cCq2bY5gmGHj/+znlzsiHLJyFriX/PFMeTv4edx+2YfAhbsYzN67BMj+4L7tOYCzz+rjqzkx50zn7Yloy+QM+JryvXIV1hkQ0yv6n69hVcPKZs0yCu7IlqhEvWH8YGDf+d+9EyH4tcd2f0BcGlO/Qs+0R67zJMYb4BzeNn2RjriuocsuALQApcG2i5oGWT9UPvIue4f8tzfSJdXZPboL4JzGUMtgkbcZKKae8KhqxSjGwd9k3Y5cnRNb9323N2rtFOolM7YRl6KZAmeO730cYsv3NdoFyPwjyH6YvxH1cjUWC5d19tkok3u/rLaZRxVsY/5kZymyx/rc9or5KDB7iZLjLmRWd78LaIf7o9G+9mPwDSIYy06dmQIo990cNL3cr/KmgZCTRuzPGMx4QH5jfn/P5K1VBfz95512+Z0LpxEvxk03G6nucTyHYJj8/WKoDhV+I2E1827tLJgldFZ3OtGOyeKdKGb/gWaTkmfZblGfN15rNBx1MfXzbZUHCrE3f92Mq7gpvbbERlLivb72zSFGBqbaaNWIZBe9TGOw/sYNqXjNNl3YU/3Cvr7JLxzjywwa/61Uzuo4wBIme9BEYGJZUc9OL8/yQbsvGrOivJ9of9QvUjIHmRfQ4TUnZHkFzLcmFswu77sBNVJbkCT1MejnPDt2ME937aT1VEZqWRVcCvqGOGgjRfPg63eXzOkq/c8U+wLr4ran/ShHnx6xhveK633fksLk+YdoXo7K1vTNaktZBgKoGgZY2n59/L3/5O5cdG7G+whHOiMJ/xbvy9OmVYadNGi7nvM1Jb1pMywOSQjdCom6Djd1qUlTEwLFUQs+Co5Y1F95J5kADj3zUxNKrjMALTiHZH6WP+PiOc6a7SwjBOP8HIbcrEUyfYk/AuAjJXLsMkIV+NovBxWfvTkNdUJ9oh3ISCRoI03nGf/m1lmlVwksEQfbLj3tpR0PgJUQuuJf0afUT0MitRd7RUaQBYGwYQ98V27akpQheRX0nj4L+tPQljrDRrSshwkmSNMSmspvwwOEnxLTrDrLfiyhU3x3XiQUrPDCdpI1IRkdvuR3BDITmhQgsrqGzoBkrjkbll3e671DXD4xZd1v2CjwYWXj+GtEt8uiHhG00o9LIYYUVhTLRKcxdr0+DiTZ5o6xgvl/v9LDq8u0uqHbvUBwUeKmEw0LfV0Sh1TqyRMISoz6SwS22bZA7zG+5T6W/Q95UX8fh0/Rf0fK5rEvRZba86tJx35juMiadxgJXDT3Oe7nHkDguf59+TYdOoBnkQstCcG1ZBBnbK391WSouvU+qhvexKJ1SouIPpBZizrsscdVjKOAT5fk6vx/duF9grzvw7VPqhNdCOvbbBcs7btOf5rmoNek+8BkQzbOjKfDd1EZ0RzABFM2tKz8vlVBkBB9+2sRH7FGxPwXZ4hhYsNNnyhepoQPlbV7x2jsQ0zycgT4z7dzbFiTGGiLo/Bz2ex+Axig0npqJyHhI8Rv3+UZVk5M91JjljAfPeoq9Nfde7umEQF/xnSfePwqu69Z30k+nYv13f3beNfE1zyHzornCdK5lR61vdESik8Xd6boO6W18/CuD3nyUd4A17CInm7pgYgv5f1qX26wbH4Gdl04PhIXpfaKLKtzeIfcHBG3Q0+S4LBf8p6e9wKhU+Heo834FLuknYjhsWG483AsUci2673aX1awvLDoex4K7ynWt91OZ+Tm7wrchiUPpsYSvtV7s0YC2wVf7XORKv9E+lDaa7kmyChk+mOXo1zqvngnnyhetVUlXapHXlxpSdLvuZygzgnToO5qB9rs4s33o518BdaK+1JXlu6bVi6p9uE3ncJIBwoMshif5mYKMs/aW1wBuE3DFtgjoMTjiL7tYRR6FDXpvxvtKJzumKJgpeojrLdsWa3U0RQd5h+8fPOeYlw4iPWZxlSSUXqAVfpSDw5n7qFt5oZIV5KWXdBl/r+In9vNSrqy5kGyE9cGsbV36dwYM08CBX312u81l54UsdPnk+a7uxZjuFcH2XNmttMzL5Z670p9JFgr/ZLFvWesDag5ne13mrRalpx807ck3FDrvc1O0+J/pKPs5mzpPcpO9vZUkwPfus1m3avJuL9pQ2ty30/pLJNDgVz/Cg+QAQME7DPvRiI1bn1TUdHRktpuBdntNCN3xdWFoTnXxh3krtuR4RmQiau4dnO8PWfT63EYy8DQH07dhx6OCVmyi+HTt+/hxX2pynBSpbxig/GaunAM8tBzWB4IlBop330H+CCDX72F+U8b2gnvLuSvKT8N8On+ErUiXTd+08y3v9Jp8JtDlF5WO5Ez7U/6sug+98J2P431B+bMT+Bst2Avs3RWxkkqInh4ZSWYvf9RqnNRpF3Us1puMOVMXiuG83VAVz0wbIi9r/ZiWDYHZmI4fGyQIAU5i+I3wvnrlCV0/xVWPZDWIft25+8kKyYm0bHn4y8/yYKXTPL7oa0c4oWIn0f6die9KdkH5CjP+RUnD66Rbf8MVUTgJFLNhcgeT7NUGw+N/k7K/RKCP6yRQ5N6wpclgwTjJtT8X5kDXtrI/jJBrbaE50Pnf64BNQ+7fx9wFEusThWEY+befPaEPJ68iJmbbJFep9nvaQJ+HZYacy54z687sL7aL62MQ6JU52nY8iNE8XjgQzR0rTWFg4x+auUFodxYiglAHL9k1W49kilyPayvr11NnTgNM2unDCmBUh5wcMSwKfDMDT6f/D5uLAONXvfQVdaqwp32DyNcFtpvkgdDlKQtAmZdaJVcfYBYnmHYZ0urwoer5+OMViKO6sXGOukytDbXuOE8KLk4OU0xiYYjWoibeemPiCICKaF+TA0kPbZizT3fEYp5S3T8TGhBR6VP59Q8uXY3Mk8Cq+fzRPO5cTectpQ8w5kJPW5gPBy4DBdz11t5wy21Ukxw0w6vmJaucv59fR7zg1K3OMTst1ToCULk0tUn9xgvK8b+jn2MYgB0WEpnFlx1NdC453P/leiyhVCiSUsXCpm8mkYE8cyKx7DBhTxgczFsa4qH618lhe8frYgLOmPcOsGzpMWZ/tadVitKX0R4rkWArjxuSqnBpO7rn+yOHHMo1kc6wJw1HI82Oe9PXisDjPkROQz/lOBTh+As6HRt8O31gLGjADGCddLbDLM0lMfj4IWj+UUkeNtSIPH/wcD9OBnhvO5wZ9bpA/PrB9DprbPjE2ZD8nfYr66f40hXPMVefwfgFaF/4ASe8a60OD5oDBFyLC/xM4noLtYcP/Yuain4xVhYoCHyc2DEP5PAT6uY0T+go7UUSCzOf/mBkmts8pT33NRkopmtv46bRS11aMWYP3nH7S33Dg12VsT89EIaWdqdfzZoijxJ3Lnuo/1luRDSnYwGWPi0sKZJzrT6LPJcgGuU73rJ5EjHEpjcP5XApOQfAvhaS7in+U6xL4bfj+9T1QOt8XmmF+GXWJxlVkrInxcjqS4r03KYl/DvmbA2enPj7qXm0ic6Dx1D3MdqTrV8Zz+ln1PCovN5WtTj0JG2O52LxI440gmSkLIhPTY8pWADONo9opjXJlSw0ESfIJ8/d+vSLpPMkG5fknPWVxfrG4Nz6y2fdxGN/5SjeNRU9SmXbKW0XX35XnArPdyGLSnDJeCsFd+eXyN6cd9m+ZzkLfkYxfXxt+FY2OeV7G5c3yZizT3a6N4OV/Ojd7D+Q1EQGBJN9qIC9IjhvetqKXLfYLF6dhD8w1HYWvJmGawY7IChb6uSDGKAf96fLhSfxGVxDSlS+gdn1s6vJm4LJurtRTsJhVw64JeeU47PiMz7NgbHAJ8dRztgtFTucKquO6l29WV72VgzT5W1B7VR8w/LkP5nzozDrUsUTS1Xlo/qpf601Ddkp5XutDfPuFqOc6y6Z46hdpvm8L8U+245dT2SrrM4YrtTkRUk82h0ykoNwEi/NFwvTK8zPPSL5XINvmd+VC9NVTi1f+jZABXXtORjQm8Bxzm7ROW7hd5jjdU9BZ8AFc0EJtynEbhvd4OK9JKHpJlR3G0xd93+s7P6mwMz+tQF2NmWRk1GM5kGQU2cfub+PhNIs04DXZeT5o7I+RWQm7Qj7OcbWb8wC2nwwu9bvJj23YOs6r+Co+pgUaN/uZFl8MjZ/FLEB1/J3xldjYdfxRu2o0q4fg+NxxbiMzlO6C49ywb2cEKn97PvDzn7/MMcM2YM8x3rEJO4KW5VNivFeMR+30LKcsjnfhsxfMVG0ZT7U4DS6k2Mkge85+eiUefG6Zv8dejVKWAMn0mEjAbEj2IfsVPovOVmRRHlQ/1ngXfELTuP5Ry4+N2N9oWSKB/wrlZaRB93t8vP7dpi++0N+W7qqRXU9tYS7qS7i0qfuic45+qkZXrSeKmdaIDWc3ns0hnTdiSaG37x30uvHnhrkbI97HAls7ECSG+o4C63gKxywzUxeGJBzFUwCLZCb/qp+GVi7rsNILE/KhhC7AZyWCFKJLECTjPSkl1H81wF6VIUgdHr6D9DsbWgQQYdo12EZgL4JMy7hKk4sSXWlLc32GrxtSpJPjPhguVqiVFIxmrQH9GlwUTnuWaLbiJYCRvs2uz6rEWJsanWC2B1PwEt2iNZ4XhbIonqvhhukYQ67LQ6vfoMJSFK0RkShTwaY1oz4eGvrsDJnHNPB4c74RwITSGaYpLdSVAiXX73jDUpn3oa/fGXpvGadjp5H44gUg9GvCO/1jmBM9CBZjt0vbE2sIWE4Tt6ym8PSlYoOAW5x00e4dzmVNbXonw3gdMw6j/QKyWoWcWkzB9/UFHRpPvnQMFSNykYVaqmMdx1tsvo6rgMDlyvmwBNSFbqCQTQBP5eOOV7HG0v13867UdCejgXgedudNGM+gNL10L6zzqBtndsJfM4+t7ALx7Js2PUOGnIj77HHY5iPpf3zts1rAVNz9GoEIk27cGZFO/DpsFV7QXJX1fVWG3ilzPTjP9SA12zxg52ywwHf4FdVVAJ5C9d1vl3qNXL2em2IHdPrK95a/5NsfZSnvbDS237066dTV6XShC10z2XgdzdzRwR3/efWt9Xd3Fy5k6pBLgK7MNZ1S3HZwRF0EP68BvBG4VvmXsyjSVZNewbyJYSN9+1IPvsD3wu8UMUcTt9Np7c24g1xonK3O+GJervTiTm6wvyE5W3mMSwfzebXJU7cuR6/K1SuH8xUPDLkha72qIzNQ7ivpNmHf4ZtOyifAqYyTvVLxXOCOrnisXV3v0vVXmkMBpiOY4BG/q7SeDL1qX9df21UdhHpRkTdi3ix1oz7rE03fpq5eTlPHQ3heeM5cj5H5Lr6pMBYdxZ+xu0HhOp/pYlv9gNoEFnLrlkqvf7cjb+rdKzC3+vev0R8IR609T2XQs6S/l7VwYV+8JDGWX4K8Znw6qj7aNC0Ez5Vsqv4/r7usfyljaMry/kZnTqWMdz6/R1SyFQn+d1xw81tZ0uvG80uHWv59weFtxwWGVzp6I+9eflN4UPLNMfMtcnL4snX6vIERAOYGeugmpgsU/hDTeEoExUaQfJHfHU3D112V8w0+EvjdWjC5EmM/B7x6jvkW30AVxObxeQqADdhP6LnFNB/HhvOIwc8xehtFfrY+Onpe93Ze2Wn1KsYVAVw38/QEw2UHTf2L8orGQ0/sDgDclbv5voDtZRrkd/Whv0H5sRH7GywKYN4nZYv7yIsXmAt0+Z43PbxeUsZuqFOyggFgueeNI+lBzq96n8+IztZ5isf7P2d0fZyS9M6eGbaIsGBnq91bJZb6Ve00QXUGDUEk8286ZaAyTiHwpqrjxu9T1A3zHlg/NfuBuKtvpCe2OzCBuIcUovPUvQymv30zZ6GdYAvH2zEF5vFFog9W6t15CMzvAEyHKZ3GiJM3wIw2FEz8GB6GkNL4zudmOwDlk8kCnKpxX6Pj8nyMtpboWTsJOxwUNrccpc6KiAt8ghsBK9Wx53JgRGv66TQfOytk5jhO7cg8uRxKGiucHLl7JZAirZUjypQWpQwLvu6OogkqIopyzgURvcHodwn5BffV8bPcs9BEXakMuozThd4/4V5FkE960qn0o8AVdexzm6/FMeVDeNo6OZCilVU0493qw0+T8mYDKS0eBJHSSzk7cwXHK1If/iJ4KOHHYXJaiEj8g/rgyDTG7yPfHxN3oBqcrCfB5mn7pLtqHbQSSV5PNqdS6HIxaKi9OJnhG7AbADtlDuNhcgD7L3bX2cdI7Rn30jiejb79dCEb+snx6nMa6FLjQ+Ohcjtq+CwKeKx1AfQL5glCGbzWI/Zg3481L2n80IyncYoz8444uWlwYRv3N/s6CdpgXmq0FleeBM+S2bcPxjRgOTHXqvNEiuzkE7F7yEGEbI1TBxtSH6edEub0QU7DzNeyMTvnlumtGsxzbvOkjJOVpa7TMjt7d9IDuD26//mlUmzrZ1n73m/wBU5rrji+Gs3RaQ39sFP/5f7voHOD25+pIBxQfNdzGKiYdMklGeFlnv15ymZxYuoOmDzaaVN34DRcCsap4fPrOQKnPo12HRF+coHH7icZHjpPwArGXTYGx2ZAxl03xzbuWnUD2k6Fbk8spyxcrrDBGQa/0b336fUTvZ3jVGlaa8RXlg1ermOkGOviAHQT7DugH8DxGEBsHweEsmdwquWgo8+SghuYPIXHesx/wNB75FBIOR3MtMBFgKQ3sYN2ZFWxdk0GbSZPPOtIOLBJgU+ZaLgjAHExl/e3Y0awh7xUwqkPNqewD5r1tX6lF8HaNDsgMsz4OE95/b03Exl5AOZVMeYf5b5wauJJLlHSqZzu83o3E7DMW6K9po8uQG98OOovDmlt2vR2iTdw+5flLqOSoMCl8Tzg4zEgb8LOrEnz+h7dZPDybWYv4KKa176vx9OvtbFvzl3j92S76wBM1dKxG5xpjDpP6Z8PiXvtU2AH851lPhGyJnQT7fuROh8me/wUPoDIUqeCbE/RnF7Nz8B9nYv1m3oiWkWw7XbgUgA8Mw7gwVvq/DjjgXWBxHeCsU/wee3wBtcc3yByUTE72vQNtve8H8V4X/V9wZTrxY7MwNqvrLMFzeZqS+GTSifNLdMA4wPEl0OO9EXMhoz15mu/BqMSzjej/ZH5QkbmKbqqIelXtElbSUmrLbcAR30LBbD594ZLt1Ve4tHaVGCewGJ9p9LITYmpddpTCf1CLPvI9ilZz2QwaO3OBidc1dcBIOthB6DHoDndFOeXzDPdZtJTZjZKXjf89zIwgoef+SvGF43F52dZd2UtTXpt9A3R9GoRcQedhJZs37f+IOI90T8QJ1Cdbod/Q+D+jwTyXbv2uwJxCjzu2K6ZgmIQZfheV81fRjZ0ohHnF+wbs9PKdTO2DcqSZtqZP7BMq3ydwfC+HQcHNewwUtuJBZqenuxiwsn8SXRAiMq+J421H3UlfU7f5RfK6x6E58r3HSYbr9b6BUf8jHXkRM80/+lgkH8eMmHKiuRrMj/N+WWkIo42N7V/BJfbkZufkAXULmc/j2FnyS8b5FOwfxPIJyITZMq8UMfLz328TM/+fJq1idcmfNv6c3Gxf5ORHU4H/zoF4Z/2eXx+PiCiOOLO2NHu57cHzj89Ak+BVKITsWt8gm65OOzmG8ecgoAzcJBobP4MmuW6yG0NfJQGHVZqO96qZdWifrpTut0+wW3wAdVbDtJ169frnNkvndoT4ql1XFd+yaCFVwL8f3/5sRH7Gy2tIlfKEokOwPN6332zPryG49bwdYFQT2x07XcLSNErJFff3VVlXMhFu/U5C/mr+2VlCvhwmJtz2e+EZSc0LOImCUdM2NxJwpty47mkjYOa0o91h3jm/6oA68ZYxjSa8E1uJOW4KgDhDDzzhnitM3565fl3Ulg1f8p4lyuyJaaf+LoxdU5lV79BMYBVVnSktl/w7JQmyvt549RAzGE3R4tgkrUO10UvkNI3r2RPKJ4XcCgJvhu8LHWcHtHMJysWjsJXOOe1ckEfrTJQFeKb9ifxyoSrWzel3Q6YtPRI6eyUs3Xe+zaX7y5K57Tyu0UWRerE2JgtitfCcrX882cFN6wkVYWp4ycJbmpjrFeJ9XLSBmVyPmgBoRoa9fmtoCmfXMxV6HZFboXDwIsbzf6db7w2NBkb34LpYGFDw/sHpvGlK35fDu8Vbbnh6Y4or+zyjnDQ0oHMZgKUcHTR3HVrhmGTiWMCa10bhoOTHF9xB7Px/Ol81vimH/sqX513TT3M6LKO28ferL3FqOL15+Pq+HCdS4883iTS+2Vg57zx5ni6v4ebd8eBG3YUwZyimD2oiefb6fkCl6GHFVniIIdRV4YQ7Xe6SuFBEagBhCNZI9jA6M3GN5wENi6KXl54c5nP0K20r7NsVtzJR/o9OUwEU6+06yDUrwHwDWz/RHNbV321ZWHq3ceKRL/dN++0w/zghVy++z7R0Y/ydnmlQwOrfL4q7eb3K53otkHE2vprlzt+lB/g+2mK1qyXtLGZ1nXmyy6H8loHnYrVFPCzyFN3kBs/SKhuZI1Sn8mOrO13wyw64lu6qEwcx3p1/k4n9kKmN21WvvVd9OEM0ng6B3NdNhM6YX52B1PfNxFzozOuN3ISzACkytbbuaEA3ei+yPc0ntdIXGRYlXkF3pc6ZK3bjSfGbr86rRQYUpDt97TvjVfZUfRKwOWppr+XdtLfSG1e0Yh63e67O7oqfKbaEK6LtSdfq65C73ntxTMinXgvGDqf69GnzrTSaTy+8Ougv6+8u85/jbyo9sNfVO4AcBrtdMUbGl3osOG58WnMP2ZQrYxGlNe+0DzqaLjywSt9dgUwj9G/Zdp8hdvwG16g763vO3vgqmiZ9zLGhOcXA4jXd3o9De57ZJjolMvs2+o7umjX+WbVSYCkk7D9mv2kmmQUp++f9qb9lGZA9rfITFXs6X5nkI/MgPTqE+lkid7jra2joOB4ojmDJ2SJ+VkikMfgct/QSDOsI7j5FESMqkrYj9Ef9+34Lrw3yVKszwmF31d4vpH99zFuVkFv+hq4Mln5a0D5NfD/lcvdydu8p/PXEAS/vvzYiP2NlrSAO1py4ex3gtXFdEV3tlrn3bClfmIUg6tdRkLRBuzcaOSNNc19APMEowIefSSKEUUZsK0wLJvLYowookFHnYQHS9snEJwWtRynYt0wpqhdpTRxcRLW6pwf49n5VccprR3jNNmmwMfg8ur3pe4K2RX63IBPk7SfQ7Kr5aEXOwmrG6APPuFDP5s5vDqh4I7TpOBt8+eYF8c75inVJvIt6Sg6+oxozy1HzS9C0efzqS8Z9fYE+EQ1BNi+acCr+5QRoSR4P1wSDE7XTkCY4zwyzS5CihUOVmoUEemkG8bG1rHWyevU/jADap4wMfi+2LhNIfC77eDKDGZbHk09TydKCN90v491G39bBFYiFV9jyKfXoztSnpeNr2ZCIxrJN8/McNs+MZQb28jZxO7uCzwTvkxJGmvBcTCNTkbnFuNyuOyO3hNDiSpzG3TsJ0VijvhUlkyFE5kkGS8A5h0Y3vBmm0E0/2GY8d0YVUG7iAqMBnSejPRIf85EsBgJ3H6hHzxtXj5lZDVTHSlnnIYF485JUzydBj1aLk6kOh6k9KXS6uqAr3Gjf98Q9lPQOwqvp/5pXIH7zfmWEGLsThOmJw6cMcDUNKEU6WvrOe5QDv445u38QJwu95PezoeiDWsv6NJPrBM/jpP7Ph88PT72b4VmZcDKcMU+HJ0ijxPQut6TG3eQc98sV5I8Vf6RgoIYbubDyWHksNboRG/wmLzPdYDtMyPDxx3Gk8x/zpMS3avzzkx4cX93803r9JBJKykJPzuSQw4g6AaY/E4FcY9fnLCueLLutmdeK2FI0bqOrBYA5OmZO8a6lUPGadCHAk77H84gx8/tcUI22EnYkWrpeA6AVDeIAIefEn1u03i2E5njBIbxVpIpy6kLH5dinBQ9gZQ6OvAryWGlKLQiGPKo6Dcpk4B/I3M9YgP053Ga8/wqwC44z8fgye4IOCROwPodsX7HesyBOx10nhLyuw/5btg69qxjEX6oTP2S18Wc73SKVMedm3oCp6VpdF2xnhhneXDuktoF5rvYwK382e59DdwGH9YkR9I9r9xGsQv4BBTzqFbGpQ8nThxPvuj9eowfJ2LfKKqDXjggFTQnF3OQ7wG+wHcrM5DrLvRFtEPPos+qv9D6epl2LHi4/XL29kZ3dU733jdkAq5tfjfWrSBOHNvfJ19P4/0Unh+brn4SdsM4dbJcbUPKo2Laa74+z5G9Y6x1ircxR1ycsHUes3HbyPzY8LDooDfrVDeTjJLxPPV/5/sz+0uciCW57nzhdN2P4bnSh7k/Op0x9Q9NJ6jiBOCBvMnNpcony6CwnGhxHDIciW59YJjMuego8Q0/87nV5p1gbrhEN74uq+Ct8FB7aYzDbt9cHlIQ0nIS1k/20bxVv1A9Xc5B8Px8gOT8pb4ffakg9CrZp26wPYmGre2gcdfHHMVCbboPgPvy74m+PJgrlSSDkCuQPE005d8osr8iMaRJn/Gk2gQs120dbZ+jsdC9jlln8ds0wY6iGPgq6zsFdToM/u85vtnF/VWTj5wWFBtynUuV40Q74FcMqz8Mfj6/DZsUK66X0q1NQ4Dbr3XvbXHiSz6FDSAOWUxda5yETLy58E/miUGX/IzH7f1Cpq+j6NgSPiKzp+GyQ5bU1MlP5rYpBHq4fIsupw7eyIZEKz4Hmquyr4ifcUeeiQCgNQX6zgMOG/1CJf+M+dvqFTgEFQUsdZvUmSfMdoJ8nH/4T+/E55oCw+PstOOfeE/CBQ/aqxC9RiagSo8NzYZd63iz7InBb8hH4Zkao899+Ks9ACg2ToG5j/BxjrvHnfdvCtm9U6Q9O9VxAvZUwfncoM8N8ucdcgi2nwc9799GxrF0F7nzsE7XIB6Zxl31FC4230FPnEmBfC+6YfhZzRd0uK52iPHIISDGFT2Y98B+blMvSDx30odYFim3nbfu7nWyt7rsE90GakJN1RM2y9Ck1pfqIH/WHRq9eFkHLoc5qJ37hWUUse7bzc/CvzuePjtsvgemnt19A8IJr519rRvrCQi9/e9dfmzE/gZLkA0pvpV4lxRur4oxgmi3KOtjkef0ZO1iKI7WRQFXUxAu7nYNA8lfKQazsH7PTYYRfNTVxUDMn7GhhPH7paJm40uwFByEc4wc3P73+YClJB4bsdhNSdsV8jApIYCIYtsV++MYKQ3M4oy+NowNKVOiUlorUkgWJb8qtY2QXxgkM3gBndSaKbyumCorMqHgheLen1bgOedTYN1mP+DCA+FIwGnZrjZAH6ZTeTpVGjIrTunvRQmn3z1NKLQPLGA81e9NUFUlM5SfneqpzBPRrJiRk3fSnUJ0I+WxCHumAYItDFqjicWZGnO7CmGlOWTjejHeqtIhuFTa2QnjtLMdpuMZ3UWEM9F4UmAZXQEj4pQgP9+eWVine/3KOhH773xg3q+pQ0AzDtK9iUxfQaD8em56uWEARVbWdM7NlcMrHFMG90KX3qcbvicgxwjk0CvJrvl3PnHnARVBS562Mpw8SHTu6yo29Mq68wlrZZH36+OXsbfuOImNq4LfOobYlOM2iW6Cd7hcMVzVTURP2SqQfLesWGCMrfGYF54TBbaTOJDOtkMJPuamVTKg7f1GgTcA8XMH0etsNi8Mvsvc0/ayWdb6hmDBXWxyUz8cdJTwS2tSbJICh2UdOeyBV8GU5zy3tEEVsgeFP5V24nf7JPFjmX+zLBRFbFjzmLJBwAxl/pnlYyVgwifLAZpbCGa6Qx8zb+5VXom5puSJoC8pdZNeojI2sRXQ3QjgOTZMh9GtI8X2YyBYXA/ZBkfb9hP7fuL5RBCAOiC2Cesbu3LYFQrGyyKYp/KwCwdiwg/hfywznbwZc47Y+HJ55YFY3uai98ypjDS+2AZORhS0IfXpQToyU7w5T/Z0w0Rjukk4gFkuhQHteIjJnPOWos2ZrqhUvsTzHCmZNuCEGJ+3TjzV40Yp9ABAFds5T53zGhrXdggFaviYJp1LnSseWuXpZW472o56hjOG62p5tcXwIc5P7dmP8qLo2LSv94gDed4vT7p+zxxxtyQL7yuW/ioI39n/Hf3ef+dMmEBrNpLq30lvJVm0nDpFfhebro/897kjnMrZwLH1owh9JU2ZlPVX+2S4SG4uhXhq6Dx6UbfIZ4DwTjKQfQwefBNNMh+ntqpMCNgWXeV6osOZyONg3ZG839GKOJyFd1K7i/Pzrrzgie1z0r+XsVd8dX1cEX/RnWICPMKL9Cfvk3UqFJDmu9zf4lOq46sw12fe36JLyPALmV6l9I1ird/yIKoTXXTrpik+77e2TV23qY6muu7cTnDeybbQU2TRgdIYr3SvilNe4xWOCoqtJT8ZW9Nq81gWfFfedDPEeHGlVxT+sNDRFV/jaq/0BvLlBB+oNFJ1GAK0bd7xTbwSmRymSUL4c9wn35yW6210dh+HI4Dkb0s0AfsWHrw/O4xh1LVb4Lorb9Xj9rs59OfM99DU98/ctgSNoWn30i/o1eh5Wo93Q7mgDwBxavJqAzbq19Ktlyu2XmVkwKTzd2AEULAfUhBBBeoM0WjU68N4rZ+EHbxXV33S+7IO48SoB/J6GmLzx0R69eoHa+Qq24UtHhsZxMGGsyH7UQN9NoyDCQZbBEPRvxiXAnpslilqPEvywAWK5DHyJmv2G+cxMj/uShcMGXzI+ZXJxk1hDzT1cX/c2tfIIASGJfO7geNL/Yt1AKDfU3intOugHK5LMF7DFJuxb/Kx/93lx0bsb7mEoTAJcTll2gkqJ9AQ/hrPF4HLmxxd/9zmecc1CL5gFCaY7r6j9sf3iPRsAYbSnaOYOJiCSMLRF4qgnY7TTSyKSbKyBXN8G3PO0ckEl0cCfoxTVfrAcJR/nJCfDmy74uPLE9s2HJ4CYN9OiCh+3k/8sn3g/LZDD4E+5x1g0YdtOnJfVxuFPeIYUY4Px1uuykI8ol5cIVwETGaoQkxW7aRNp+RuZVMs1akOXFJUu03kqnSM+2Mw7nwTmJORTlkSnMqN2wut46pyzoSt8p0Ihhd9zBQcrYIgsLtrLe9+xb3fTeinf04xO1yBByAdMmW8jwgniqpcarMykb6f8I1vJ29Ihje3g7kW0saJ/8pOZ8x2Ezi0FuNUgOTvFJipjxxkSospQJzM8tO4fuIwaNa/IxgDR0SHcYKKaM+j8uPkmz1PxmG54y6UXt887KbNFbHuNCwFofjmTT1NmNahz4/ToVl3HhlbT3PGdLPyR3SwPYHD7yiLsZT1V/Ta2MQockIfAM5xems7CiJ8jukuNG/7dH4n/h/hh5U/Xq917ckcg+MimiGCGvJEsH3D5K3CuJ79+3x4oA0U4ztgGDYyN1S9jHs0zfAocPCGTvjb+P7XmzW4qM8uq4G5mX5axDytsQWXOp9XJ1ByPDiLcWON5ZOvkYZvhrHrm7YdT3WQ9qHw18wGYbzUE3+a5zKNi2COzWOn51PCURSZESKAbDaY5YvMjvkEgcO57GDPn7FhXYLUFhy4jHXZxe0QTME/vC3XY7DFZu+8C01sLo1ZOyOzTdvj2HAe25SRCugv+zgZ/tzGpm5sTIqdwJh8i+ciGdCKodeV+bk6AZmc44RqKOadsY5mxdTnfN2zTiiItMoO+/YNePzJTpbu+V7g7QDkE2sJYTHW7uZrsWw+q1haSCCtU8epCj+YP3lq2fF2uj7qmzNODwHH7MSDAAeeDP2ezaTyjLTWZxaOK2M0HKrclmDoTpum8eeNvL69ZdB3xfsBknMwxsK8psidH+Wi+InNwp9ffzd+xLU2zbs7Gkp1WddpMq5MuJr7aHltGc2lbEoHLtt7CfMiUA1GdNf7FLVkk6k7yvw7BVawPDBWHSdhTQc6vujgyV8AbJr0jPmt3S/qvOhz8OU45UoBUn5yPGxU0+vqekkOaWOrKbsBOwuLXEvr0HkBtOXj64k874xkftFBohrJz/Fe03seS/1dYWPYss7AfFmAyLIRm7bcDv0R94ZWvsMyKvVPiE31ZirhMadFMOwGVMfb6jKM7DSlPm0w+3dDVs0NNLdHI0UkijwnfCVQiFZmnQZYX0flFO/Ue8tar7QZ+gSmHr0ZzrZ5Z2eyH13X4vZ4J+8F3/I26sZkwOVBx6zz8LfOCwrOluuNmK6Yp0D6aykw8c130/saYf2Qn/vwoz2d8EWbDLvX9+9Jj3U18gTGPGy2Hk6MAEDRyLwSJN35PLz90u9VmTa7ENPKbaX6mM+q3hmpVplmtLm2bdkJtcJytMoRB7H5jkmQeaLuNCbh+aBMdUnvpMws3pavEZ0Bubz56iyrBqYmGvasf84EmrElv0NaGM1iYtaT+J8mXC2l0Bv3O+wjTR8m/wbTezhzG1ho/fopc2d+LqO7MQjs/leijSRr6FkSdRe4qLItxvqq+PrV2VfQXaGjZP+TfKnp7FP/Lk98MALgcUJ2tUxKebBB1r5J6Zn8TgGeEgHC8zTozDrE9tQVn0jPyNc5v28YgOPgSoY2/FF3QL8J9n0k0zo+5seqMrJNATg/9zEuS7Mszv/qMqA5juB7DtzVIQOTbV/H14Ae+GbfKYb9GBlPdqqswB6KGpK/6FIMilUgWBwgpr0KXKeHxWvWG31wLc5MhpBOwRvNo6s3Fkrh03Uv4dZe/RuVHxuxv/XCgt8ZVihZVfGdhO2GbDrBSgu3CngI4r61uI+xixKuChUrHb7BcyCifxMDbhaECoai50xWSzUFcOg4GXmVAovGHHdtOYNxp1fZYAUILl8lJpzZKZgimD90pCPeFfLlxNfffeLxOPBPP/2Cj+3E7x6f2LcTx7nhqRv+9DjwH5vi2/7At6cA2wb8Od9GnRwnHV7pb0XDFAs+QsFgWqF6i0NNSME7CR7FIiCT0N+Nv1Y474yb8pyViuX0LCmdoYSZwLXsaWYoSL6j15lxwY0rKhFlmpSQOWYoIp2VpzVUAfBQqJwmiFdCHhuqAw79xNzAQ96YjTRk56ijDx1R8TrhaqXyyW1iKlJTt8wRZ2jWr8/tIdjOKazXwQCy2Safz40/h68LyfTU0Ss5o3TXVfF1tNDceTreSKsTgQsynztd8KYWCp+psJPDi51a8V2dVqYHoXmrw1TEXRIJf5aWODbuSKFkmL3tVlGlDe9QNu3v7WkbgwXxwWZdeS+4rak0p2OjKEM0Pk6jXnmUZzgI489w5DTvwRLecApyKOsoDBaXU8Rg4i7IpIQOGt6/zb7G+KYscUXd146nBQwYGRTjB6fR9vZttD3SCk7ZxoaNp8WWc9Kuy+qZMpt4ak2P7kEFhU+DUe1/0/dOM56+7fhq6HIZrog0r552L+92WYNMB75mhabM7kFHDSByuLhpyc+rATrg1jkez1LgcwssJ38uLQhrL/ieGC8VQKF2GlAJTzJphtZ269h1uUgOL6lzhLImiJeyjlWNL1+Tl8FWUd9OP246xiaIewLPB2b6KApSgG0YjrKZ43ciVMzJLL9sFrmMeeLCafjbmnbNjUrm20ChXVp/CmA7y/Iu/CgCE1y2Vdrztctr2fvWWU8tGEEP4KG2QfIx8OapQOVpPMLnButcbp4GkPuiOl2Ebav/MK/28Tqs3qbxt/NjrNtor2xk+LcnjBYow0Wl25FSlrbRSD+Y+NeJe8Dq60L3MVdvRBXfRSVXONeXDloJHI3UZbaeeVP5R7kvlQ9j4LEN5r1I2fVWGmimrZjHqXvcfmpyPDZBr/h89/xF268KX5vDKZkdjqEHlPEzTjH5d0qlZvVizVqWjtOCLc6H8yXElTb6RSObylQaXH7Zs9PWxua6k8xNB4eD0h87f0ubCA2PmnJmyqWkl/u0eF+Y7URQdpWdnS0h42Vkqyq0Gd8Sf2I40+ZSbZfriG0E+jgUbV8A8Vn3iWipI4pE394MK8X+wNWJV0umwiRIutB4JOt8afm94pDXCMsr2kgezvhtwuC01eA0uuA2GfaKU/pZT9v5z1e4Yb0/TvQ7atwZRfIsAkN5yHeCpuJIp+7h9wQud8VWmiBc+3y7zaCRbYv6a2BgvfqSj/l69Ks8nL4dn8VGXDYx6t9oUEPzuWyW2k8VRDYdv2LIg6OxybCHeKy8DkLJRf53sR4zbL4xKQvdVNt58iUNHsN1+lN1lFVE8uZ4WpsxjvzcmrDAcLrIpJtz57FBz6QI8gask7cHP/q880ZswQEHRwdd+RoqePZAvnSy3Ccr7R6WcWim6zbIoMiGwBH5NRedoMFn0LPVdTueg7C9z7mGZMpB+zh07+provZ9HmowdNZj+oMmtQSJcD8kJ1QAnIJN83da5miRh1SnszsDNKOxJQDL5YsAcQKW4WOAnNYFkH1kdIQoNlHbdB2N+mGI0zZf9bmNQGC/AqbbhHX8Gk9rS8OzGDQVQM5BC8ln9UYbgTuDZcOgY/0cONNhYIEXkh7boHXfXI7sUBQcUeneYIhgJ/9Xx0yyB5hzHPYsrZl4t1FdQdI9Z0D3wM95AptKOMkDfw0Mvkey0LkUOBiP/jvrarwmu7lJDTXvok9JOEkbsg0vYTsm9PpiQ1/29zcuPzZi/7MVZrz1VXeUnZ38Mk/1pQVDhF+Nrtpeet4tOkHcX/BOGUy6CIXa5y5vt1fL4sQRwO+JZQf00qczPU8rZU5d3RX4emD/cuCnL5/4eBz4/ccnHnLiDx+/4LGd+HY88NQNn8c+IouIi7HztupBGfBcp82r3yjhAiyniJIyRc4HfqcdHu5gc4WwvEpGQ/SZ20rKZVKsQM4Bjc2+TlliwyxsyqokYtbhfmNjguonvB6WEZ+NgQNmKE9tbSjZdlrmFLrTUXL/i9JD8CmwSMJ35oGVHGvvStEJgXX6XZ7zgve2L8IX4z2dsAm6keW72S/CkIuN/otxsjERxmHZnEzP+Zk3R8EEDIPjy5UPOW1/zE+FeuDCvq6dlucxvIq4+zJep/WW4U4GdeWfV7y30IwUJahWZdoSGP7FfgKmLOo0zFD4ADWmijBqEm+psLvREYv+XgcKQxeYJxg3TCdH53inNQ84PpteXO4xf5SCaoE5QWXKPVrbIHwsm4xCwRVMp77+mUbYaVCVWWuvOquk9F/HxgEHTr+imA7FQOKFICAdIG3CVvzUb6uDGlgm2fmww5P4ttDvhkdnRO186xxKfH+u+Op1lTx23jTgNVmdcMDg14OvElJ04jr1WflQxYfQo0pLmDIpryf6SEeaWmfWulkQxmkOedcl4tMxOAXGfFVaIgOZHckToPEqnQ5V+md0XrMqOC66wB6hej6fneM/wdLJ8tTm0GWjHQtKgNjV15ZmWDeNTedk1DEdlb4mX/e1rWnNVZjcGeO/R1PFgJ78aw0MDMPd++/WSynJkO4M6oQwhMHKbEAgc0Ogkan+7crvGQ5ZniUYm3d3fvOYJ/qoDRj7UdZS5AxA8wPgbtO81n2rsDzumm5od9o/clvv7jlv9Lj9WOFIG85XOOE13RT1IBj618JIsljpbz/Rro9xrY3uiGBefIzTJxNgQGwtns8t0v2pjmxKvjniY+WTsSkNcYUtBtOPsdvMSTILNLdFb1lkALfLTnG/eziyWiHPbcd73oUXsE2IcVesy0R33Iaz/DS7Luly3rekeehgiMesJy7AMZzMJEf/Y45u1uDVfN0t23PCIyqv26/yl2EkObAUwldNcZ82UzpaQVmLdd1FuwWG7+AJo33nCWVZmzwHpiwJB7vpVmH3lr6mDMtpxEPn9n57kGZTjBehu0b9mZOm0UrYFVhxkvwsBd8h30/0p25pTaRSdJqglQPYRHCKRraYVQenU8+0QdZ1EdkyuzHkJr25/iXvYnAbND+XelNtl/k38vN4Xxty/utjuNJxnB5JTwsfBvk4NtqATXblMgDqo9C5NvUi8ImuQZrrbxJD3QxacFRLXb/AqvM6HJkVzjnq1nLpv9JGBE/w/NKYLm3DxJuxBg7dsE29QHLaSKM+0qbaBa8F4+gVzrWhhau5cR7h19e4/9HlA/s/6TAKyFctZRB6Cg7r8Pw03eQptjlp6Yj9BD9vRLKfEuvv81lGUNL9C1+641tRvwas+K/hAxv42XbF9m2zE/TbrKgzzbIfyOE0y90kxcYr8eiwk888jsUfUeaW12Ly0Zjep7tE8N3QAQVQulIKllEGgLhtWHz+GXis6/VGztZ2bvcyvE1uu/YNx5VEey/b7LpxPvcPVn5sxP4GS7tOFMMhZJcy+8nP8Y4ii7mdMEC1P3nDQsvaT0KmRBUJP09CTembnoGusNmYDk2M2A3f6Sidp1xbgZ2Y9EiT2TqMCfbzI8ORTlkRszt34PyqkUIOD4X87okvv/vE73/6hv/y+z/j6/7Ev3z5GQ858S8fP+MhB345H/h2PvA8N/yvn7/Ojqx/fWCcmiQ8dcphRPU9s+KWUMDCzIwKntP5zjY2t/l8cRoyLRCtLJsEZ+mXBF6KRHTl7sztbKwQcrtOgwKcH5I28PKgCV5RhLEfg5kCWx+26WhGlz7mibjOqAEwBbCdqgGA7XOsJY8884jVIcDNEGCnOoC4w8+fEb16igtR3/TN45t4ybSsA6yIOot6B7B90hx7O04XijCGHX+KgjfHiaP1INyIOZS2sYm3HYpzl3l/aOeodvweo9MRlIDsNKo8qIkKTYoMKaTLTzo1mebY6qiMk1pQQD4M95udkjRY2DAY694JaWoGbHTH2Gl+fe3EJtmTcMnfYNITOydqxG/ARpt9dY3f3QHnp3I9DbQ8x2nP86PBUx7qNEx9LQI5DRDDSIoh7I7CDGwpETWrCecA4cA3Wx1Hgtgo483QAN74ge5KqbRmCmdN7Rjemshzb08fzX2pvhllivdGxgeXOB3o761fduDw+qr8F4RvlYwTMV50fl2/03PMNZ9yHvCoDUsnfMz3Y03qKkcIh1fKsW46T4Mektcrrfdw0vhpcW+3pp4sshBiaZZYbrGyzvzcm0jt6RzvOegnYAbSOlbHp7frXXBKYeJXlacx3/VguOB3tL7jXmEb6/kx5i+yTigg34yGPzxVpwQsrsvIpz/Tof88bZ14xDIhI9IsNQEtfApyOaVvf2/Pecd8kptF/oUD3L91faDQlUfP+zpps5fo/CTRuzvbAezf7Pd06lxmvW1m0wj4/UoK7s/q79800WTMsxJ4vI7pb6VxgeZdZc4tBx9sn5m/exuV/kZbdpIVmFdqMP9g2OoaUjrN5t+pnew4depm/A3mGq5lpI+VVHe0K5PWeSOwprPWLLsAJJnEgXl3ToEfJZfklAYWnC/e22W9mYxYXtgnTG8XOTZDL676LSZ93JV05Yz3HbqS87JCyyCZEDrN1NFTm7xmvQ+3HSONocvJe3hdlvpJ2FjrH8OGnLakAl/HBuz25cC+n9g2xbbZT1GcKvjl54+RVv45ANAnhvPtnDCdjyJ70vojnAGLbuLlduPNcYlZJwXw0vq8KrF+Az6jq7I57veDJx7YBWeB+sUcp8RGx+jsBOzKF5ve0D1M5st8lwc7n3Q8fby4Hm/Lg0s7AkMq24cYv8ep2IpTnfpUJOtl3VERulEE1zBY3CbpJ+worxtD3cl54cxlV3pWlYmk/6WgN518IGwjd2ZjytoEd+4iu4DoD7df45uTNrpIp6kbWZVfqq3n8U7mnAUOSwBUfN8QQvCuMWDP6IMIkLZqh4TPJ42Fx9atu4XOaJw+Hgre4PfebnxPtB4b2ELZx/xHCkws1zI5/2zkS/j/zoonTJ+RAn5f5d2OYLfRFTZWHVuqhExArEf5HMfYkHRjt0MBxJhZ14sSfMnasGbj1PMp0wbgNXDh+6qbexF8Lo4r6j/xV8RcsA08Xrqcxthsj7VKyAwAMv5qAG34AQjOUO94k9ZgqpnZqx47QFXLDDFh6Gz1sNtI/l0uR2DKGZcNRfdOgDXfJ3mgRXzYOnfdp8qrVGpf9TXLWqsfc1jXlslaGA/RDcCH2vhk2rhuT3sgmCDSEfvhIZenfgI20hB/22Jz0jO/yedM3Ttpu/AqnrckO6Ygnnor8UuU+qQDxfdeTVYeH3ghHG2fPhcjRbFuMnQtwuv2lEVWbE1q4sm353h5nH5KmEusG9pjWdg58ZOUgYX0zNN8BOMQkADH9Gc4/4trLpgxaO6DT7DX8tYG69Xf/Mz55l2wZyMr3i5J/q9Xjvw9y4+N2P9Exe9nSRHod4vE6/DP2w7KoiuLQkVsF2gupi7CmgUtQAqMt/kK5Eaxavuqf4rcbsLGN8EQ8Jox+CebQkWxbYrH48SXx4HfPT7xZXvid7v93L6ZIb3hacAdaqkdXHA1gmjCfw3AElnE77rnViouQ1mQ93le23YRnK3jhmWp9LDf9TmMvqyVLU5HNe2SN8O871VmxicJL6Y0pbHqGAsbnu7EdOelN8Yp/9K4TPiF4VbH7bAvc6QGSz87rdNVcOssemHLXM5FOCyabyOCSYvg06KAs1LeGCu8QenpSsMhw4rN2czb1c9Ogau/eNsWqQ66j6i2E7DbVC6OjfSdBA66tbMo7Hel6KMxhJv57C64TzB/Lw/mOeue0zJVIEUGJxuO1o2FH0Q7SnWXcRnDykZo5guA8eiN2qoN1cmoiF2QjHVTqNSv/LVzSCW+7bgqtLo6BVeeynV8fcUJcG+j2cRi2BbckiEdm7BX5YLokkEqs27cgyX5s3CwyaCDYNQN/3xHQCWjv87VsjbLz5vnbxsgzCe824aWXpUF9tK2b8wvm72pH7tfcDOnmN+pDcQJ2eR8Jb3syvlzp1/cjas6KPWqvr5AT7dOaR2lMSiWe7iZ73EmAl5DySld/u7geYOFpnXR8mqSLfz3ZVsFD2XfIPqKtq5kd+VHoDmuzy82cBb4mk2TAbO0sGY9dMqE+b5JefyOsvqjXJbLayTe+rh51vDXLnhgmcubtcB1ljvB3iy3fLv0wboMb+SmoBlOW9zpNvyO2hjfD3tBd9t42RXycWLbFR8fBx6PA4/txGMfC23fTnweG56P4U07d4WeM9ghFo33S/3f6vdAmq9bfv6mjpg+e0NWsjO6ru0ki/i7MkdX/SbHNPG02NTh+TQH+SXIr/SOVq8wACrMd20A8I1hfraM2RSKeeKQ3nVNl42TKzvSy5VdcJd2/nts+fvOX7y7eu+oCHklU67Vf0BsQrR2JEhOVpnMNBl2xtQd/PEtiqv9T4+XUuRw0l2ucHylszKduj5w5nEm26N7LgVn0dHaN1Dk/JVuwn/XQdUdNB5Y+D09GLpRbphm6lzW9jo+x3yUaegqKAQk82TWi3mrsHg35neQuknj+meji/H3ne3penSaJqsTLOM0GMtmVrVxX8rQKg+rrms071nY2nUcvO11X5DmBDnWdRufNH+/ko/J19XRd6WLBU6zeZt3bbBGvLQf2zqny5q70p3MlyhABGJH8MZyAGdm7/PALgm615HlDxgHTYBI+a9+LVvdhG0Ce+u/ZF8oyf87OuvwcMXfol6Wk3WTNvnxfMP4E8A+UvqmbHonRialhOdMS8lm1Pl3opE7mOnvhUabteVrllNRR/OFVuZ+ERad/K9mS1VdpdNd/tJ2L97d7UH9o5UfG7G/wTKcSZo2VnwxqeX793tP50nXaay5ARspeO3ica0Oz+gQrdMpjByOtKW0vkOXkeT496gNOYgBGqzbpyJF1ALjtKud9GXYuSwbpQ2DDfgEYOcPMwc5FCKesg7jNMTGbWIqKFUZ2QE8FI8vB37/9Rv+9evP+G8//S/8bv/Ef/3yH/iQA5sh8FN34PjAoRuezx3Pbzvk5x3bN8H2DSHAJvyON4IXSKkQQtDRPYR13taTyljmdOLJmLQ78U+4vTfbd6XyyN/epUuJcVTFXUvb4pFCmmB2+pJj7PmfZ2lXkE+l6gBKHyPqfESZkjJ02knMohT4mKGS7pyJsThO/DSR08khSaiJwk4fYdCIINJZeFoQ2fwuNqGUGUKO4LFZy3fWJmHuPGCzNsTTNs+T8KfdP7U4lCnajNuOOSUlIPDsdRwdTFPnxKXQ/PnpwrgLivpMJ84tkh9+Wovn4znv1dyeZSy+Nnko9t32HGP0dB3AOj61/0KBgd0J6FGaG3BYlFkKGonTZA7DhFlO2P2hDayEI59DZr1KpwDTSTKaG1ZWN528Ndrm+XK4fH6CRqhTVxaZHjgimWjaeQ2f3PKfHsF7PhB3RfMmoBq8sSlieAKfnpbhgBIft30XMNQI0m3Cne52Db6gOL5gniJ8znU7eNk8BRH2u8x3wTMINx51mGjU1muKWm7uAfG59bHUCE2/Bytk9ylzA5sMBR+j8xwxnPhY4l5LW1tP50Mo8wyEkTgdyGon+qnPwqMzPbuM50rWkfHliPK3CVU3bqJP++eR3KA54RO/BzLf0QH/YuQQPGlsU0GhTuZ9wnNNOOEhd4jZB0fna6UHX1MEb0xjx1OtrY14NAA8v2KeJg7ZhdTg9mm8/ovidDg+qVPHK30UtCcTjsxviZ8cxneD12ReyPSoQOJbS3ATo5F0moWPq/ETflSicxfHJL845xpw/rM9ydFAa0pOzHuTrY/d16jfEUs81Hl3Ou1McHfjFfsekITHIftk4uGcP+d6HLyg6uLVQRRgUNpUh2/0ZSmID+Dc+YMMt+vak6+SzPEu7k6i8qY204alXuZ5HH16R3NcDlN+MPEReuU/UHTzb6G0MUiuh1zhss4HbP7tm8Tudama+67rt/aRPvB6+a5WoXddZ53Ds3eCrjpp/sj1gJnm221d3coa8w3R2hbReqzDx9DLzy8K/VDgywn5OPHT77/h43Hgn376BT89nvi6P/HTPpjYU3d8O3b8/wT45bnjeG7DZPiUgC98AXQ90RL0sayt5md9RjI/cFl1iGZzrmZCSDKMH3M2gcKT0k80767qeV9Mm1UX5+/d7t/HQF1ViU2ns+g4VQepeGUdye9or+Pgb5ScwZGegUF0G4++iTrGr81eTPcgin2bG0M6och4oHHX05bc923Qf7Meu4AhxsNdGvtcb+Vhda6TjuA2vOtjniqTaCbp46TyLacKeWws2+x92PMkdxNLTb9rgjXpp1WncbrlYDglmiaYox+Cry2MM5f7IHq/WPsJN04fpZ8Icqhduq3WbGK7Cr/05+9N9+K5Db5ar5Rq1llsAlrxU9CDd+e5cN13+ASUTZz4xXXT86FhV3VFBeFPdD06+dCWYMG5CbsEPla6dVyaXFnqYNYF1ucciDIGg5Edy+mWfGscqFhP1Ucf7ItDhivo3Xw+Ak0+hmVNb2UaL/TiIet0nu6zNd6NN7F82hifdtDko8NPUr5lO8nXvvv2Opp2GAXwTGCxxkIwof/JazqySSHWNctg5onJRhSnB8smKcOm30yOnIcM/0fYMUNO6IkxNzJ9ALorZNP1iq5DgG/boFs//erBLeGvsytgCPYuqIB9iIy7Vp9r8O0i1kXiqusq/T5x5/ql87TN5nM7Bt7OD9gp08EkN7rSJmWpU8xp9Ixo/vyc/jG+BmbRY6r+Q+12vA/AOLX7APQBHF8mftqT3E7Tdg3ZxFdGcstr72Rz1BH4lSBRnedzwyobatvO16+CXDrVhZfTjV7jfujLtv/G5cdG7H+iEvp5p6TeFSfMaAgvF1u+h7AYgG/2nVImV0Y0m+5BKQraZdTDiSE4OKVUA2Mwb52/t8p+BcMFlCiwjROxH/uBr48n/vD4BV+3J36/fcOHafkHBDtOnBCcKiOtg2/2sfP+wlCpyFgibFwxcwXGx1O+bdv/zsLCMeay/v1mqYJ3dFB+Sn63pJdAGScpnnoC4nd+ano92wPG6WSdBJAUBe6bnwkiciw1Kg6nKTNXg6+0/84CqlW8byn/6L1Wpb9p0+e0CuAFTtD8swLEiiStpYWndEqqP/NNMf+uKGytM6VbMzRPEVyBXI9Jix1loaDR94nW+GdRmhju6DCis+hRod1UWKGu6wLG77Sp872l0DTj4LZ95jmlnfTTxp7oAjd8HW/QTMsb12jTGItlaRgKqEaq4STy7pZcXdf0fHEIR6f2d+cgiU7X8QTfPOff8RwFaT6GMpaYR6dbTDg7P2DM88X4mJfUb1vaaObpCr+JDghPka7rpu0YumJJYXVbdK5FnrYYS7Pe3EGa23nxNz8nnrIU4rsOF7c3nfyZD1UeXeEPuhTiY5VXOW8U+sZ+1r7CKQssqf7rWJkm09zfrKWlLX/Fjk65oOHuW5YT1q8COQ04EBvHqQ3JOOCAxiqL9GJcV86DBexOZhPOk76ReEXTWFkEFfdVJ7uSHYkWL+g8BSS9ufhCDhd50MGQ9ItXeHx78f8oL0udk78Ut3+liPS/dLN9WS/v0NV3lKtNpKT7hI4LCsAYOoo8RirAj8eBrx9P/PR44nePT/y0f+L3j294njueFkGybyd2v7Osjon6bfX4+knDU1oH4Ytv3i2X9W94Tf3ulW3iz9rxaH7HTVzKlqXtlbm3eK6NneU7XmukOybSJP4qVVDXdkr9FewXo7vA4+j7/tNfVb5DdtyVupTnmhsLwHUhtgeXzS+Wa6yz+TcgVsb0w/qb//R5FowNuLsxX4w/4bvpd9mMu/uOnt/xg8iyo5JBpHXB9gX3X3lGr5+8w5ConaJDFpX8+lt775c0xGPfCHxTN7vtq3b9K9ZH2jgL+mzu/40PLn6nv5NvgdrXukhQ3tOjSJGsjfh+Z5xCerE3RP0lP0BnJ9S/fR3z9w0phc1DdRbQlGB7p3Q8ytp+x0+2Aphh6Z7/ar7YjVnnPI7XlhL5JPwbcYxDMlZrE6hntfM5FJiPFHkRnYLIsMSbsETT1ZZE9w/IawENfkH1Ks7oXUVt5/NP9cludZ9iwGR0rNs8GRtXnQlNFY0jSg0eUJIxAUDzHS6eWf0FL76O3L56JepZH61t2/t3+N7CSwOPsjCPuywav6pUvae+u8EfgGtf+N+4/NiI/Q0WFYyITWZe8S6vnHoHEwCcj/E3C2uPUhupVWf9zgHU9ZOYGkXOj0hpScxBDo9qu1nlHi3Cp3dB41WNzQg51Qzbqa2NyJYCA3fHKQYO2GlJGT/ryVNiwn5/1/nAuN/nAyOa+UMhX078zk7D/tevf8R///I/8WEbsTtO/KzjWOIv5wf++PyCz2MNofP7P4JZE37TplDgGW0k4qIco3nmY2SFmk/b+d+uFGwA/M47w4fD4yef01hKurGINioSctl45pM0dufodAgO+vR7LbdPBURGZPnHqONK1vmBaFhOAY6pkldFzPG4AZFqw53U8hxO+HPXFBHr0VI8Fo+WYhpSIJ2sUsGIONzU7qAz+oW1ryPqOaZF1KLJ7P6iL74mbI5UTGmQmEv1+aKTdemuykZABV8RpZO5pKSI4YPq5waMnJiuSLlSYNx/7BGT2/zd08bGCUPCExzuQxLsEfjh6GcFL/6eUWfi95I6zwDozi/TGzwq0vGnwG7K1gNi9y7SvZHBG4zOIAGPkes4qdbg2ovTmZ/0BZBO4jN+vc9Qpmlu5mkRGRuOBSeeFWGJAmtowb/ZjrJWvFmKevXncTKT27D1oQ/HqcH8EJyb2snP+ZUK0olNrRuZ1EGnJNYo3UHTmLLnOec74ce170axG8bKTKWbdE7jGx69XE9s+5pDVdYx+R7zUmcY3f1b8W3MJT1PskKxneO0W+Ddx3oA2zfMk8y64tfvGlVb78HP6rgVcTdPzG2tZNq8R11Oq5t4vuZPXP7B0JF4SV3fB1a62PLfwaMZhw6LjE7D6OCMCUpj90hmn28lvPLPSqvd2qoR7sZTnQdEnzvGyVZ7t33Od3ICYvfYDDmHMIjkEGyqM3KbnDr6YcPiDUrH+6f3Zfoh3wHOeGOYKWp/nno0Grb7GSMiuIkkvzK2u365rggy/ej6XdVdfbxbuTdyRoLLzICghDtac9WIjjXCcgMTr4Fbcu6eDzoR6n1vkug2eB+dNmE5sZyAIV1DZZyoHqengAiEYblXi63HLsBnWafWVgQGSHlX6D7x3xTBTqcoCyyXfLjMRa3zo9wUyjbUyU45kU5RXhZfKwpIg/i6+d86vOwdYNPtv5crE3KftZ31jrXL0tBUuoc2aF7T35fOUJKJVVbUtZ3A8Do7xv3yDwUeCnwoPn73iY+PA//+hz/hd49P/NuXP+N3+6f9+4ZP3fHH51c85MT/kD+M9k4ZWXjOqXe2ckdm/7xGOWNDwhG/Yz5T1pww3zNeqDbpQjgJPCF/X0HssoeIEj7pWUcTVVYk/mXti6fl5zZIDlSaiLHzM7NXhiyTofsUnT0FqlD/kKKDN3j3iQwnb8W9AOnUqz8O27VJrlzof0lJ3Iw7XrXPdK1b6EwucJjke6IRtbqNzkZ6oNOlOu0KUjYj7jRObbq97vp6Cahih3mMmeYy7NEGrhiafaMboB9033A9VRcdWP8ML+OGPuoC9JMtfzFvVcdq5+SqFN4dvwOh82zHnAd5Anhg3vu6Mu3ZDq8XHgPJhfideIiGLrQOSK3dCEJRAJqvuUl1pQeTFRO1tT1oOiMzBfl6+4K40iLJJqL38zHr8pil0qfrlnmYBCcyjyvBBTzutAnkOC28G4S/kBG8vlQWHXLZQCVeXTMHJFtNS52LMv1CmjLGdSeQlcdd+THJ6VQuFSJeKLUjGg8/4z4ann2ls1Z5wPaCf1v1qvAZEF0Fb+SAWcHwoRlfkm3IaHli+DV8+KeEX3JkhMC491lgtr3A78BO98kGnTjtZjs53ys+YWb9wvceeDyLvPAxovCibm7qvDiYvP6Z5mN9jCxdIQOAkdFQkG1zmWNieq/67UYZK+N08KcuvLzKy26tsx/W/ZPJfvV1QjhLB7wo45BSH+FHFSAuZRCAr9xg+BJfJv2kwuztIdmUnZCac+R1OINqwByZaDD3evy1Zw+xsYetKIPWox+r0Olmf8/yYyP2N1pmmtFBSelEKxdm4ErfhgBfT6XW+xwvy40SJ4f1g9GWbwjLodPQKHC17VQlstY/AXeScps+JqmKkm9GsBFuDXeGcyhWAmICiLSy05ge9/p8eRz4af/EH/Zv+Of9Z3zIM07DfuoDJ4BP3fDteOBM2t/EBSvPjgNWopNCVeqyMK54jDZOmhPAIqIKkwzhOH7XfeLgZtrn5yXyZXF6VCFbBWtRbEPow+gTQ9hvB6DHUC7wyO2obYq6Q1lPzFQr3i4h6jIS1oWpp5ZyuC3VBuN23iOQN0qmcm/rNeBQVDocwkPTWEIhBhnYPoZyh0hqp6yz1sirfZuXWxwnXKqiyZ87yBvNNzuvSVnQOgcJzoynmKbgWQRvpRtX6BgX/NPez3HpFNaKGbPCmwb+fLNsYbvMNEiMO8A2x8cfc13RsLpC45op22m9lHEuzzqeVerEWiwOrfHuBVySuxc4HxxjvXSC+px5XZ9/R1HA4TRiyhezRVs3ogDf0dviUnR9J/Ofyw5WJLORJgHnYpv52mDexN2eAKfiqSe2U5/IfNzXqXAdMhCWeSzrr0sFKAdi8zgKr0PHic6+hoFGMk4cmYUXcXtlDIEPHqhatKys7Syyy51mBV/tGnAYcA3ipVPL5teN0qAdD4SJU9O6pNFJBr3MX3PHs86Stqjwg2ibN3jtnW/EbpZa7+RNrQOLM2JuHo5oZr+qwjejj8ek7zgJu1EdRTZS7ngDgGRMexCfO2GYf572yY7UR+LlMr9LeEb+W84Jc/fef1fmSzYXvC6DL5xjjkQUpzGKCDhiAxYTb0u/1GTLmxw/u4QulTaAnZa22b73z/3yz0p4Vefq5M6tLLqa61fvqO3gc2Xt1utI/pKSNsT52Y/yslxttmZdvfDlpoS8KutgkZmlznV7vuhvvvmO9oZcMzqp2Xmq3vQm6Qy+fKXEIRxWyVlW1wLXpSBE7IrH48AXOwX7Tx+/4A+Pb5FV6aftEz+fH3huO37Zdmyiw35UBNKvISP46ffJt5FlOZq/7RnbRun9XedXsnsBsPm0Oswu9If3NmRHgGvinxX2qtt1YF3oIa3+Q/OT3+WrMEIH9PoKYJt3+vEdfpfwNnrOMpgL+IMeKvxLxdKk3r7u+6jfCMmuqkx1Y2ZaqDTa6eaK0M9rWs9lo4vhOwv9AMvpQOaB7qyXbfzUExBYEOJiS9xg6oLWZyd5/O1GxJvlFZ9v23P901/RPAwbKH9Q/VcLvVOzAFYb64KHLvLGn9k30QwvYl4DkhtJ64/rkq62MASye3pDgN7VgTqMhbYv/XsXayHpgsz3fI7IFll0ZPoseCnTvNuL3McbJTati07ffn/FwxL+abIVcdiusrTIpFTbaOTYeF+yrxX4lo3Wrp4QGWmhy1eyL+iw/K1ItGygrp8LfdrAynBxm5Omhk8z8HYS0GkMHsypxtNkDYJmWqxBLvwu9V/+vSoF9+/wr5f+N2+3/J4yJpAul8bs7wuP401yXsfJN5SAxP346R3vRfi3y0EzgmvhH6/KRdbQt8pFH4st343/3S6kgY1lyRUuCz9vMw78ncqPjdjfYjFCUwF0zxeU8/2v0ylXPqc7ty43XBuhXw2HpS4QBr2fuvU2xglGXYmeYHZ4OMq6NW6sTYWMjdZTmuin8oErf3QPFwByhqEVCnyflZ+WjYhmPsGwKbbtxE+PJ/71y89mQH/iD9sv+K/7f+CA4P/7y3/Dn84vlmJqw6EjLTFOWSI0GT4WxoGzwnQiyk2KYmX4VZHYGJqXWGecpfbdKcwRNnRfRWw+hJDNc+jzsx3ljkGHMUXuZQBqiuNEb17VN/IUw8H3mPMajtWDNaQyPm/rpDtdTRHZTsIPKRDbJwC7h68alWy8hUFCAkMtClsxHLHYdGQAYYcyC3hzpiewzYErh8wN3KQQmsbA6DSjMAQ3jT2vO8cHykblbNqdR7xZoCDao0ixWMPdupW5fgZMgnnXmKOE5vM5TpXGiUOiz6TsgP6uSl/AkXnQ5GdeeSIkFDhfg76Rz/0qzCDw+8N0zoO1l1BZ6cX7DLzIwoMSXBWnTl/Mx2m9tHzwQklJpw7qJ7bxHBtUiokjHxPdTy1OC4AZceM7Px23OPkEcX+o38kRG1j+zWEnUgXrydcS3dsOonvenCgImWOE3kbPMR04/Nu4Y7zyqmiP7qDi96LzXZ2fGXQy15Pjbjp8JerCePbpEa0lijM5QMpm71iT1LlvRm2rZjujMFdiWgKazCFeDcK0hmi+GbeCkWXAHSRV/6jBLm0wVQJufVQd0FCJDXXV6SCMoCSnMXOix5pA4YXW3uXJC49oFfrbxlAN+SRvyql5v29K6c5iH8e4H1vm6QU7RRv3GHsfoO8KvEkMuQyhzcwkVwjHC4+jZxwMiKvvLviUKHLwETcRAQRWnTa3O8MyOSYU4yQxsNCVw5NkR9GtQ7cRtHw02nDHus2JbHYHdOkjZE4nDwjmIBWW53ZH/KijsXaCp2Jdj8w/0jpl8GmzN59uJfw2fDLk+051VcH3eUNmNHbnsO/oaTzvCOVHuSvVOaUiwE53sGLFf/+9LM+vHILLtwARb+0Amc+z3KI6kRmk9Dd0kLEGIhgpYJkA5OxPmupFkyKROaXK3Dp259WXcijklk6evSu2jwM/ffnE7z6e+Pevf8K/fPyMf3v8Cb/fx7U2my22/4WfcOqGz2PHqQL93MadbJ8Sd3rXE/vJaedg8EkNpawFDmPDbzrcvCoxZ8STORPHdzvBWBVpaGr5m0mD7n8bAeGS9UYKQAs5fdBzhgGz/WFvWqCJTJyyXrB86vyeXiwkZcHsSUf107cCpFOvV/Pl77jtWA7lzlhMPIQ9Yr6O0Au8Pf7p312V0v+yz+UyiupXn9ACuxBu6PfQR11X9FNIdNIwdLLqFC9yPmW6cJo9VjjYDnfdJMyxDdggOE2uuX6Ak+xF75uCBBJv1IJ3Cn5LOHY8Ew1yWTY/GKcsu/lvf38pexGnEFMxe4/9Ix7sHHy49u/4Zt5JwaHerFR4uE8AEdjb6CErb0dk8pk+tfGLB0EmXx/rKy8Kb5KtfRI8TqdOl+5nK4EAAVqhg/RcSh3NUzvqjt88/TTLev/pGef4JHj4fqxFl/ViDaS1YP6pSz2YAeJSgM3rS2NhBSx1Ph0HtU3BCIxwndvXWPFhpLYKLLxU+SQlgOCNbqdWfgb6ZpFNRT4ucm1ZWyuciR+QHD8t6I7tothAdVuATpbr7mOZOtOwZ5RSGGPyKtbL7N92OJ+V8G3wnkO1/adeYLbF1RK7kTvL2M+mmcLXWv3jxPrQ9D23s1MqbaO1cehs0rvLCcfFPBGrORB46QeZd13JdJn9pz0Nlm2MZ8sqmfwQtLY6cLiPThYx30h2ZMhTTe+idH9XnQoaPqyoE/pZGW+3HqiLjpx4/f6qDee/cvmxEfsbLOykW5wpbgTwvRRMkYrhnIMpGBcRvh5FnByCuFiwXsWYTCguIAF/WnQn9RcCpHOquVPGN5o9nVyqM5QCCUVq5VqcQis2d3h9U6rOEJSufJMy7SmJOYqZHceyK7b9xE+PT/zz42f88/4zfpJv+MP2C/77/j/HRiz+G34+P/DL+cDz3HCcG/SU4YQ7ZVWevX8/6dkIr1Eh/82MaLMTyONkso8rc6q62cnMNJy9n0X50JH+rn7P6QPC6AGAJipdisI8DTRFipDld8TbJz1bekZuO5yEs8+pfM2xb4Uhbzo3+yq9uVBNG1ZVWbM0Lp0DUy215PHTOBkz1uiI0g6D7+G0LKvC5UbmMRQlrxtwKBaneHIw8JzoGhQx1mKeE+Yd7sgNp7YgKxU+Rw0dJ57lQQ2P2e8w0jwdOaYzW4YRLc+Bf96I7eD0O/wCDn5Xo7DSd4RHGA0GHxBSsnPfoTf6evlAGDA+H77BKKeMNpm2isbgBoak9JlkfJxI62JZz74+PD1oXZs01srbQyljBu/043NFc8t8yJWzQGtdF467AwvdscIn7vyi51I3b8kw9jk9bRNKgeVEnlQnI/dbHTc+v6bgyjGN0mhfZtsT33n8iTYNzrTZ6rAI4tTdkqXBq5V0oWEcY8IT7ZzA+SE4H+P37amIVHiS50XI0TfWpIYTJOYzxpTlNsTknxncOIU2BLXgWShAhXDARvAG+N3QM324ka7jXUcapY35paexJh3iUrFu6C5+ZQdLXeM+TA80sM2kwBfX97khnhPGaKT9R9p4TifUCy+NdUG0KfTc+xiyY9LFhInWvOOc/yZcxHohp5Cf8EiwkowMueLjB90V72uARRnzLZqC1ZGHpVTahRTcAcEbOLBte44sKAetAeZXAsTp2WAHnXyv8tIMa64nMN6LQge0Kcqpr0JWyEx9Hu1X+dbJDOLxsuB2yNQBq851WHj8mOspN0OHoLvtK3/vZXzW2QInNleekjmvO7U+naHZSw4GK+Nty9XzH+W9IoBCQr8Te7bglRct5jqpG62VvpY2SvN39ZnXdZuxyY6h79lRVuvMvnrCqadoR1tXggXL+lTSt9bG7Z/JPOyKbVf89PHEHz6+4d8+/ox/efwZ/+Xjj/j99i0++8WMnKduOE7BcWwjLfFTTDeectbxwLo6w5kCYYvsSroW5rd3zsHbDdVCR1WmpVL6fKfwJsSqd6rJqakwpQ04sb2ViicH1PwWQdOJ3qwO40sRVxh4Hwv+Me3OJGdcTkZdvtIBM2MG6wn0c7k/lnEbekVZnIxEzswgmEGP7pw/S3uEJneiLzZWRxfSvCqyLQeWexaz/H3ObIXwyVRH/3SC07wXHcdR4LC4DeZB3XylRtjaxFvSRofN+YYxV8cOaodgA9OrZBpqaMZhZD9fvNcbvtussRSMUg4nRDXmnUxrpXQbYr62ar0YN7UVmZW8Leo7aD8UKUl4YRymjbIrumtkR5UpgUP3dYQNT8HZUurWdplcKs6MVuWc7Y05lWQn1c2+gPFmQ6/z27C8fcm7iX5dBxCxTGA6543ncnw2kehzlnS9lgbpz0q3Hf8XgmvTCPC+lT3UfjRZxvCqZPxE8tYEY8gC+nvdVJNlfrjeCvRr2JifLM/t5yrX8lIIXutzarImweEIdNrjMVTd4jBapr83t51rgCvxetdBHUmdnyjJXhRRVnFbZdF2gVLGH/G8JPONMQ1+MzoVkj/V7mc9y+3EFPzmXVaZVsdygQf25S/r7EI+tHRi41kPQ611Biy2j8JrlOdEEcIgbfoCqY+roMd3yxJ8UODm9R5TeyUP/wHKj43Y33JhQmRmS4L7HSHl3wzGkFegvLNemOnzpmbDXNhRFwtln8wq+uTF7LnjkRezP7u6AJrTXXFUc4KVYWSlXoL3LmNVUtDOryfwUHz9+sTvvn7DP338gt/tn/i6feKn7RO/l1/w++2JT93wdfuMNMWHGdORXqrAoPy3lr4rk2ehUXAz8EBt8ftW+R4D75THZERUJp8acbg0cLncOwxqh2k4njenp3lc3ofhJBRXO2myOFKR8bPA4EOkE39s4PM4fbOQ58nrhiFYSjikN8w7gDeMqH3BTFMcsFq0cosDE4pHgc0VPVqHutl9sxuGk9o2ulQFvvHZOdO6Egojr41GIAcy6buxeS1ISqHD6ooOCdF4T3h3p1IV8IvCAWS6YrCqI7rCXhQgp63YaLMNte1zbISrB7x4O6fYSUr/G0jRhRUgX7e+mcEw1HVz5ne1nbTp2ng7QoniJlJfqwLmY0aFra6fRv60tHtB0sx3FxhEgU0iGHmkhPffC6y8xn0z3JXlrl/qI84HGJ2zM4jBjBTn3Xw6HN3f/g1turLC2N65dVOmA0LzPJBs8PcjVS2tW1LmO1gViHQ8Y/2aPPY7YRuZMx2VeZLZsE7kK/MkYF3bIJoKeQd6XoKnEu0J3QHH7zqZWH5PtEzrfUYNz7bE7v2+C/Dw9oXbtH5SEEfQBvFZh8fHSToVqwXxrAaeNDzw6pkK7L5mgrkbliDJCZ6vuLfFadwM3xSdW2AOPUtKezT2jlcn+YPcRh3fGgBGP71+XQuM9zp2/jbGwSenPZCsl6lJN3Z9ruk72rc2k65Fz94yMGXK3kzvpd27EtNLpxCLfEmlkVU+b9XZ5nPpuv/ijBOszqGuzx/lughttF6gjVWXcIbz2rwTond0nDq57vuuvG3LdvVtHS3BAjfwAMASHCX0D83z8szl2gzgBQX2KnRXyK7YHwd+srTE//L4M/718Wf88/Yzfr/9gp/1Cz51x6EbfjlGEK8unjIknWXA3rwvPxc51eH4HbwzX1K95H3Aiz7udMciF+qzIL/2/QzEdmcoZyhhPTLsEW/X9YCEz0FQbraMeytlwqeYJ2Ea2hC7KmDYcDptAGD6Jew+WXli2egatKWz3Q3Qmj0qZIcYyPSy4lmFfxiSmoXxQla84i3vlkq7dQ2B4aSP0tr2eeYN2Er/1EQOEgQ6OmLddOGHrEfIrLt9Aqpi94KWNMVexFNVV6F4jR9eY8umRsP72tLxMft+WUsU4Bp9Aut4CHeLb0EaUKiBtPnr9Qmf8fs2K7X+LYbjir/TuzQGf8abRhcnYQv5LTTTbiZxh0GjkoIF+NvQlzr+V9s+y99cXtgpszMstp2o8bjue8L/EpBwdyIWF3hvK0445vrsZaDT2HI1z1W7F/Qz9WpJz1z/Vf9G+aVM3DGPrRvGd2Mtda7mfdno5XZ5HrT5u9FjUiBmbXvHPPl+RYcRdHyRRYzHUnkxj5fqJlhL/y0MBR9pfTJ/xNqWP4v1xv5lbtP+GHabLDxfZfZzJXOYv7JfdRlL0eey3yLrpskO5IAOJVnR4LAr7Cca49D5e2Rpm+0Mn1YRywu99vs094Dw982SJ32jlau1XNDj37v82Ij9jRbd/ITeiBY8HxjKuKeRKYv4ti2ZCtCSMk7HIkPa1LRfi7LlzqfRt5pgXldHjYYYEXk6DZc4GaepnxFxqZG+ZIk49vH6O+GfhYnxCSFBjE9lpiCesNLY/QTRDuiHQn7/xOPLgX//5z/in7/8gv/3T/+Bf3/8Ef++/xH/tv0J/7L9jH8WxSEH/mX7M/5j/wmbnHieG57HjvM5oppjHjz9bI1oIYEQjulIAYFg7Jz2KRwPhdukaG+ZdeZp1nG/XJojw5MUuuIo9MEUFdyd1nnS/F2iU5ljX5yk5ftx0mt8pAqcx0wR6W3Me20nQKldpXvx+NQcaJxVqJuyu9tpstNPCvo9tGQkLgaCtbfbxujoQ3B+KM7flcVqhnVEScb46eT0UTXH+U8fY53oYWmRPmSmiyWFPzbJBcAxNxXSpgjmuNKJSJoPYJ3HAHnDvBvvgWSc+fzE+qRvt2dR6nioZVOSndJzAyrDzncwRjRbbZfpw/4+beK93e3b+Pf8vUB/0oQvv8fXcSPASCXqc1M3jhxfftIsNg8lvQ8+7LDJrJNSRfq7HeEQA9Elb8bGaSTmBXEHpSA2mcROWzh+2CmlREeP+QwuMoh/iI9lZQfxfPAw4g3AdFqSE6amxN2edmcJ8c95EssAP6TnK0Fzk3eJp/hzvgukaNBqqMYwarQylbrpevL1AcdaNzc84a5GVDqdaGuBlW42DPyE4+mnnIuCzm0HqvZ512g6Kao+KHvgp7DP3K5nkoj5B6Zj0Tf//C53xyHrGfafb4DHfUFqY8fsgzfj5ImpE3lDPu/Bb+b6HfiZnYrPzTcGBCSDHLAyN1THSwoGOH2eMDdpqX0/9Rrt6EwdyXpL5WGLDCMeX2FnfIRc4/nXAhvydyEfWFZbEJRfR6APo+/DaJLqMj/ocDb4uG1owuWU4c3ac3rjb5TGwvIhOYgLzQcqnP857oiW1dcLvfMSAUanYDM5tAXjy3XH3Ho2FeKpCiAMXJ183Og8Mgk43Oek/WVO/ec52zn3/D7W1pXjFrNesHH+xuWR84Ia1FjaHPoOGfDWXrUlIqtOpe2Qx5qyenQw/yjXxU8/xRQUfSfq+bwXGZ6+aTsA3E7QSmulnaWt2i6t+fo+6acNPIuD3Juh+pGiEVzB+m0IKvTTjU4hmH6wOJzpXdiLsQE7/p0PAA/F9nHi4+PAv375M/71y8/4Lx9/xL/uf8a/7X/EH7Zf8P8//oD/8/lPOCH48/GBb+cDqnatjfEHlrtXhQNiXjrltJnnZt2m50DolJX/1u/bdhlWnxtyNlZaWZyytY/SrqiOlLAupz5HdoLzA5NmTRepdjRvikRdEO4ZX24neDpcouFkJwR8MulEMFMPG543EeipyLalZjz6391GHvlFJqKwzoO3s83rmHjNtAFV3o6tmXDI1g2hC/nC3SZ7WctzQV5HHgzPMuQc4+f1PnwksqTiTjjyuTunTPO+Y13ZwxScGXMx03SyvcD6k4uqg/xzCw5h/KJmzkGw1bVoGdeVHCxz0KV7ZpsyOvVvGh6nIJov/QpszMz0Q08Yk3q1YQJg+vjq1SfOUx3PLL+WnSrAs3o4CAt+iozKa8qG73jovqf2mc0t66T242P0eiVgIPlZaIytrQaSh6W/AAiTp476K58InmvXajE7iUMPtWmGgWhkpH1XXNF5wsXVT5LvsREez+aGJ5ugXEYQPdEfw6D0k/qctogYTrhB/pw2Y60v6PTfeBOi1KhSXdF1TN548NPZP/u1luAGooeAvwYqn44PTHuPdRSb7CGXNGy5GYBgMumYfQUMvpa97TPXCVuS+RTLTIOHaZjrekasav8EvrwbQVof8wXhotJjLXWNMZ6LH1L88IzDbvwzgvSrj/tc+/AhKM9F5Ys61xbrnbNSHntKWc68xHlLg5uF5mzPJ3BgdXkfoPqIu3JlK9xuyrocklz/qt1hqwg4Wq3tl+cEE+5be+ZvVH5sxP7WSxHGsfF2oXCkokCk7PVqVe8pzg521LWlEvtdqVK9Ke0iaTZhecOxTQnVbAjPbwmeCh/9SxtFLPRE8dPjiX/58jP++fEzfr99w092IvZDDhwAPm/wFYWFWwPuLdOr9anuZYqsrn+b20Wxq31Vpacq4klY6z0M5bsWxiJ4ur7D6fyqhJCXmXKJhXf5eekAKELb201Od2rOl2VEZvk/E5K9gLV7Jx0HVUijGTPDa4I9giU8pWOHT5r/xZC2dt9R+LvCjtXadzWQApxz4skVs4z7qehU5eaOP/E6W5yCb7AuVha9vWSQdr9fNvYC3jfxW9+1TuqAVdPfSz83MCimYgwgnEV33wswUzd3MNUxOJ1cODfHS9fs1yotmtxhmZ7Zc5aA8Sw3GrFIV2uugMUK62IgUpozV3BrqY6/dlAN766yLP1tsGjBc9v2jTxZ+McruJB5Vcg3RREU1P5V2250fM/a6uAK3Mu9rKu4orFc9f9SsS9tpTmusq6RN0ptsKGkF/C+giHkUgf7wjsIRkmv4pdL2riaV26P1kurM9y987HcBCCqZGfJVfudLOiM/Ds44pub92Egp05onk3Ocd/Csu+q3VJimVV5Vb8p7y7rvdnvotPwc/5JwZ5v6XA/yl+lsEPN9fSrOW9p+ZX+Uvp6uR5qu/Ru0XffpU2Uft+RHRWGZp2nq3tu6J83jNQ2F3TTmZZ4O/GxH/iyH/iyPfGTPONam3/efsYfz6/R3ImRRelUCTne6RgL/FeFv3Uz44V8e1UWXbjyUm7/e/so/DnZlkkQ9t+xTpZ0IYZHBcsR1GZMIsgyIU7BFMd0ow/x2FnXG0PhRWl/ngLssE3aMVF+n/b4uCyuBgfpTtmKp8UYGv+S45e+ucx+QOOpTXq71eHO+swVPaRN1yuZQkPzvz0zStiPJUgwwz1lb3zPcrPrT+Z3M8DVxuifaf4XY/aBLU6367EtxTrx/m756F3p1mxXp7S3+MKuYPRfG5q49CfUvptO2HS4lS837V/R1KWoCt2lWQOsI9egCOk/WzvonzEvqXInbezQ6f+0XnmOF5jy4QzWPy/BFPrZ2OK8cJZ5b07KNmb3e8Uaj+GRbhkBNcGwm8YND3UT9rtKI9/ynLw1hLbdhVc163A0cgObYLWLKtvxv0/bFdD5zE9Dh2wra5rhTD95LtDAwONEqfuKp3Tw6w2udfIJ/qbzX0Vb3k0zj0rvg/d68EGBg+Vda1tSPyse8wlU5eecXbTK1Au4q6y+ysTmuLmjzToIxwV/l/w9zI984Fcl1mXHtG++a8oVTfyjZFT6sRH7Gyy6CXQfJ902SJb3uymEvACrglHSOfIpnoggKu/1Y0TVX26UwRVdNQGYO13uLLQihwlJUjCGEaOZYYmNyyNGqiAFoH65c1m8U4HPhkZ3tJ9TOoZCclAwC53OggB6bNBzw//rd/+B/88f/gf+jy//J/77x/+Ff9v+hP+6/RkbFP/r3PCL7vhmxy12UTzikhgzqjY6/XgiTg+yEI77MQteIEh2o8+jnBgXXrNRVZUEnxPC1dhoGY1GJCkJVtevtqMwUxY+VRBJuaMW+b0rCqzcLcJDME83+WOO1OSTeoQLvncAGP1sn5JwylFmSVnohOo5f8pnEeyHoUMILlL01eoAwLYLdNcBi2yDrr5QZ9aQbmopMlmqUb9XyqXjRwDZ7ETSKTj3ogeHEjp4yfbUcd8jnSZjJxhHiyuNk09tZZ4kKZJ5PLN/fhKOaeg52t4+x3rYP8cJ1GRI++XzNRK4KDGBdzEfhmKsLxv3ciKIxhV3xPDG2Um0YnfWBi8AxklkwTitrHlKYo5k8iQRpJPtntGgG1dyRJZ1G8+3WR+CuPB+oztn5wcGy8ecr+lEU2Cjk1Re95FTa6V7WpgvMU5P00934HxkmOUpea6ANe1weQ8dmykKwflFA/dhVNbIUTrJ6vZY4NBOMLdGss+TZyJo+EuCD4h7SPxkcTqVCPvJa6qZR8ZdwOxBG76GnHcZvlTGOoNgRvaX9pzORADZgXOjqFyHbaoO4BdyGJ53TWsDQNyJFmhz/MfpatB9tEQ/KnQqH8E7zodG4y1dRUcFrwwyMzjSb/jvhGNvz+9ZrXJSSpv2fTXk0onogpPgl3a62O/NcZpJd5BXPkBjCfTVqGe7y41PDHSO0PQn8cp4ZX/rbjofRzr7fBn/5ihodX6qlKZXZ7+TbxEfN/3ipPtt/SSsMu/hcRY9gMcYdxH5nOharz094uMvjgJO5RonUGvxMd2s4yisK/j9g3YC4XScyuwz5JzfeUsR5enUlrWXumIa5kCvDkw+zXDMvledbvwx5l5MrngqYckyyGSnzxVnp5k/ZcKumtdSt+YNVjH+/49iSP/myis5Blpv8ffUIdr7zFkHk/75wqelzLM07zS/yw6unBqedaSFh4PWqAz64XbSKdgOP07PxF+TJ67gLzZe+RSf//0A9EOxfTnw9adP/NPXb/j3L3/Cvz3+hH/e/4x/2X/Gf9//J/5t+4Y/nV/xP+TEoRue54bPY8dxbjiPbdgENQ2/y8R6St2qZdsvw5zweMO7RgflHbfnPOwEnWDP34npKTk7U7/u3bnIOtOUByS8Sh9pPIDxGAm4JIRyli+ZUWvTTqErt8+4nTROe1TXhdc55nezzvgl7qT/UOhDcJ4Y/gKxjVWa8+g36F2mz+QExHRdv7KG67o9MgIFzO7cR7a17QDUMvskfSlkqk78KNY5LHpaBERxleqkJ1kBWj8jww1Vc9ooa1Ce9u+c+GU8pzkkuFe+Z1NVZFPdoE134AlCH/cML3yljaRUnzLtYCrLyTfk/gI/G+ZpRVp/S+lEZdUHbIxLtiQHj3g4676J1zAP8OfplJZVLKfalH6f7Zh+cKSqmc/5I9dNHW+CjLzKs/k5YFmkSv/d78AwaFHe+3rybptNJ8dhelBomXVmtgGSXSvzOcPQn/iaetycO9rE4Qws+4RdCJcMX7pKw/gFOGDD1xKf7vP+Pdug+RfSqcvCNDQWXea1aXyevQBxsdC4fksw7CFe350Cwn0ZghhPSR4VHlbxEnJEMTYzxe4Brqc3hdK4Vvxs+W/X/WP+fb1ZexHwIQ1czNMOeh88G+2aGPVzY9tJ8wCCnfulAxPxjvAby1Hzswqvd8D2TchPPwXv17Lxt6V91PEybyReJdbutF+R8M1rgHVSDrjxfmpmM4aPv0s82mEXTD8+r13Q3PN4eRKYpzkPT7Q/cTD91zrxAqw0yf1UmRLzonM+N4fTBmLfVd9ila/d6diUvcT9GDYmDxIIezM+mgjkPqXDZeUlf+fSxKX8KP/wpZclAIgh39S5ffeiJCd8Yf4vHVFX/ZYFzaU92XXVjgupN09f3pXE0CtcxpyZQX/ZnuNO2O0Xuxf2F/wkB77IiROC4wJoPp0Uv4awyI6pKrQXB4ZggVkKY0rKxK9gRp3AH5Hhr3F+Z1AsdV7Q+FX7l33UZyU6NjkJigBLjoszv/Nnd21Ux0fUpe98k5SNj4yQC5zwvDZ9Bv3YvLFgW+atKiwkoLvCbV8+r/+4r6TVIQTtUF5l4rs4oC/ntXt3QePVAE94uyitk4EUm9StxOvLd+l3brdbq++Ud+pdja9T5L1N5j9OR0XOvAXjq7Wt80f0UQ1eqpuauZN5N3QTnzXrfqkubbW+FHgu6eoVD77oLHhGwWkn++/SunRlUcYJlryJorm9Bs635EwFiNrm9bG0G3UvmrrDf+HFl4Z+V15O/ny/yKQKc5VXdb4bONs2qS5wzZujf5S6tX+ql2QL5jecJrnTCe7+TvB2fKHhMbm9vt93+DhwrRfV717q0rd9vFtPl8CihS4TPVw3fM1n9CU8b+vNN31ctXfVdprDoIOeVridJSjiR3m7XMr5VOkvb/Nd+n+/k7/s/a/atH/B317qPVVOmU2nFhUou+LL44mvjye+bE983Z74kAMf8sSHnPgQ4ENmBMipghPjNOxyT2yCD7+ab71T2rm94ddRSC6+3e73ljsZeVFvsQeuAHL54oFxwbMlybMrmzAFeldclDpCjm3f6J0BOd6f9HRf56Dah2FrluERvSbbsUuJ2JXvmL+3bAYh2XFlP9a+Ffk08sW/Re0scrbTuVs9/EqX1PW7mLu/cnmJy78ib6xr627Nf9d6/hVoUf5O1t+nHUnPuO6drf2X6H0+3y3AeG+dNPR2WeeSn2r5O7+78rt621d8Pv3e8Zp35OL3+g+k+ck86ooOvhc2fI/uXuomPb3R3wH4Zm/X16Xez4X6FF2fMRzV97j02dHjBU9bfHC61u143l3p/Nur7Xhh65VyNWfVxvieuWW44lk3x17v6t/LvnSp3/W/0lJ5VudaqW1qq8v+8D3lrxIA+71NVLz8Jyo/TsT+BstQyjVHVnhk+TEcLsHgGkbQRTPPjZus9MqpcTpjO5CUc4YHCijfeecnYz1UbxmEwbJjROtAsA3rsih5F06ZKwUdk0msecYRdyRxWxLvQCf1sJzi2w5APwH9Apy/P6GPE/vXA4+PAz8fH/i/nv83e38beu221YXjn3Gt9b3vvfc5x375J7OisF7YgxaEEkQIiaJJBUVERg8HlIoKyejYm+iFbwrNBwI1CnuhJAhpkIgPhRVoLyQrSDMK6+gRTSv9qWc/3t+1rvF/MecY8zPGHPNa697nePbe/e4J3+9a67rmw5hjjuf59DKePL3iU88fxf+zXfDJ2xlXKH7x2pbJvG97hjdPbwIAHq+n1o2+oqvhWPtOZwygMs4qIdxhtx16Az+92N4JIim8aQdFz2f3cC0VEX0ybHpqx4P4PV9L41xLRT1NFvOOj4URsV3Ud5Tw/aOj0lGfdH0kV2n3jyrCSqi8myn3n++B9R1LtgKqMCjDSrjCePXV4gBkk0b7srVVfieMlcyK5nBzvTbGjA9bfac01AYX0O6GPCuuD9JW5J7Rdpw+w7h3z4yh02zABNxzvTwR2XnMd/bYKuZ+D9N+QgBOoADLFWtEJQQiHC6+5wKjvnafLPErjw3tZAwGGfXLUjYMm79vRpL0lc7w1ZbhKOoNfSXkwlhgOjaaTPc6Mv6BSJdhhyinlYFqRhg/SrskbIeHTdDz/di6oe3wVYwVkoa3RGtqcHDd9mWj9ylgBcyiqdGOOhxhN6HdD9rTqd/f6SvlDSWMa1tRR8EZXl26QJ3z33aNcEne7azGP9Q3DLoweqhWS4YVhaSzjTaniUWD3eExGSb+jvm4FWt6xXAU7lMt9LmPqSLtbhu/RRHGYeVwuKOy25UJMvqKJOM9QCnUBsZCjJT8HjPD7W5yuXZ0XR9afzLsnb5skYoYfII4Npwfo22TVR74weiTALQzcLBCID+2Qc6j3wo6bSDdhcvyymm7GFeWoTmIpp0/s97bOxzbY4dja3cLQ0ZfbNX76Rnh+TS3MznoLL+t+y7nJMqpLP8Szrh+7lfIpsN+1W6reKAuwwqE8Q5yim2CxDOcx3fPSoTF6ZgWQ013Cemg68qpDidDKMAToNMinwDj2AGfba2Go1jPfu58eKX7fQt9HAi5kKdyQTsR5YQ4gcXH4CaatBu4gv5nWH3n80r5vUhTYn+o007QA+YbVbbLHWniD6TqKl4VGtrCPpob6a9zgNl0HgeY9uFLlkczLmSH+5au8yS8K3WmlUs2C8uF4FM+KOTpjldeeQu/4QMfxSc/fQ2/6en/iw9sb+LXnX4F79vewvvkggcAD3LFS9KuuQHaZOz1umHnnUS2U5f4JMgdpfER4qk0FmHXfdG/MhEutPsxK9vFYAnFfZfqgvAMZpeH6rBLt1EmGb5qawdsS5ds7evwwVq5Qa/zQuixO02SDE7fuW167rtobDzIPpjGjXCm0k/f2aXd/Y3mY+0vaRwX0WFcAOiHGsL9l2QLTcn00g7gDOydtuQCyLnBe9rh90hC0Hfa6hLnAf+J5kaMYtZXpqfV/BLfTUdl2TajuuSKdtoOT2gr0XdDTtC9eSyjU9J++5BUsi7LNTu5obe7PTa87oj1q41X4pkQWyDZFexGQSxXyTaSgZO+JH7K15RZmZZNSjnJcJThql1GvIf6G+DNtJj5BnC/Q3Mea5vyWJ3m0/p7ohe729FPZPL+YtibdKrRlCo9JToWODBchU5cJY8lFLh2Ogg6PGX0NnR6NuVhWWC8Y7KQTg6w5xb7yCcqsi8UeTP68AGOpBtbnhkzw0+MmWXTpmZoTD1Lt5398AumD5MD15F3oksav8k+Jdk9KdguK4eemHnNcdEbnca5ojVvg+pJYt/pIsE86XI++cb6fB1lXSdl+k6/D/NgpmPttOuyi3jbd1ISryssjqaTXKx8vXsnfld1OD5TH0K8kOPDliyOlGJzE28l26CiOYG2002Q9BLg8yk+z9OzigB7IoZxRD6daEmLxoROG705qcn6lXAVYEzPc/lS/rBeWgwc79R2dgvyb+yCn66SyJezPy99fILTi4nY92LSeH47MBiag4Q5uSFWCM5KuLVCJBi0/Q4BRWdoxd4DaB6QzEcj5W4Ys2wahdx+sHr/iJkqps/F+Zi0VKcFxly5W4C7EMZ6UuCh3e9zOu3YVfDWfsYmO94nF7wigvdvL+EtbQ70A3Y8yAVP+urmy761Fc2CfrxGP2ooHRcZYK8MgzTWFpCwo6GHIkuauxDCrSqNzkrC0VLYItGMR0AW9aR+Vc/MeFcUCoONGk0GcKrTDScQvZri30Zb3OcwMYDx3o9NzGVYYTEdkiIJAWWvrx9LpO27XIe10gKRUuOc4SRcTJM9aSWo2CTy1nW+9kB7x2llnA+k5sY7biegMHbe0p8ZLDG4MQamHOOizWB0bNLqvA4XUu3ImyPYq/5a/bkMGx7S21Qb/+YBqOWjSd8Ac2H4uO2engF9wgNjXBqMyUhjUC2gn+2RjEOCH0AYj2miwwxzxke3hkKgUTGO+839ho39QHTmLQjCyQAeTFpNvEgPLxG9tyAnLfBQGWj3OsVPTHG6XY2VoMniq7Qx3RB2507FtMB1b9uOTLtnFaHfdW5ynfECgHminJhyWo2P3KlgfnTABRPdd9nI/eBgy8rOmAJC9FwJdn8d+iUhf8UzuSEzzm1yPOSv5EdsZoBgY57lHvMFw8q4AOJEFTfbf2iuk6sj3Ap/5yOj+I9h4e+m09KxvSErLWJhvg/8wJOFJ4X2RRg8kcCOpwdRE2z+M8nRgIcN0/j6ZCnh19/RBOWS9nIiXsoBwQwrt2N1rmyPqS/ovGuLIYBxXUYur0Oe81UNDl6a2J/4X0cbfoRWGGhWkjPAbBOFciw3PIg2BnfY6cTIXk99VHB57GsB32RL9KOm8jGJjYaTL/Mi3ZXGBLiG36Zz80R+9DFHOQ7q53yD1+iuuqNEOtfLLSbY5+sYZArkmA/5tlJudpNJX4y2Eeh4yqdJrrJ+2RRyanfDvv/hLXzS+S28sj1rJyltj3hJLtgAnERwwo5TcsjU/AKW5UAcw4WcuhmQKuT0rVTJan53S4bmwGPpexzAkQO1lU6Z6mObbaWjctIhl8Mxhqn8akLWaUJGnhHYb32chs9sCtMJW+fDvctHpbtf70kMb6UDAp0C+0nb0ZQ2UZ3tFKKpm4HdLCfSswqObHt6Pv7L/evXZQS7XPO4DJrL+bh9e2d8zLrzqN98/KvnuQJymvNOSQk9OnfxeVI4MvlAtt6qI+v3e09BY92/ivVYXgiXQ+D7ENOxd6Gx8elj1csFX8kmCBPtLjuQNpOE8a+SwZxp5KBI2Y+V/F61eefzapKXxzLoeET63Yt+TU3SOOR2StgMoffonZ7X/ZosE+i7jy2PcR48lyG1jRzgtO+kz45il3ycLPtHS11Y6A6HMb0P/ha/s++kp0IXJr3bnmW1mydQvd25u3fRKesbpT7YGLGf6vJA4D6VohyiYz7M8Bzx+Z3qs4rx5PKBbqTOA9Q2iduybBfk92obnjAW+5B88wU1k76LfZjo23CkupRxH9MYpL6G76mOj2mB7UHZd+OxxMCLidj3ZqLJwklw2qpYDKILBifmVW+TsCiVSzfCWDBTeRUKsCtoV4R6+VihCZXIHDnwP60MoRV6JrT4HovcrxZ8FmfOsfpHHeZbgsQD2HaHV59YkE3x0svP8MqTR3zg4S28fHoEALymZzzVCx71ike94nUVvL6f8ahnPNMznmwXvO/hGV5/9tBWdnkjHWaazPau9N9hN4TtFAtBO+mGQiHQsxKmicHsWISdRoTL4IAyfsCCfrY8PYjWxzwHiAO+afWjGee22y3QucB3YefVst6+wHc52SpmnjwVm7BbGUHU9waQlMHgaYLC8G50Q3D5PXZXQB7R7nneNDoL2uCFrayzezhoxyfjwwzZaSKVDeeONz0rVNuuWOzA9WVg7/fXjLt01PkaAPLRiWFyFS2f79Cz3bQn6rsQLmhXo90vYjzWAtCjL2FnNmbak137/bmg1ZzJ2Ej0aXgAV2X0ncaf33s/eSJLG7INXzjDHUi3a3q/trSCfu+42a6AXKixykjC4KvKCZgmYYPzkfKn5znI4WlHOw6N6Yped3aI7eXfYPlDq4/zqlrmj0v7se+98A7aWRhlPd9huz0OGcr9tRWoU6CFkskA5xtFWy3dX9qYcuIJkv3ceGbrPBuOpvPxGp0MKz3tc5tBC3eXEJq4bbtnne8OMj0XdqADPqksV2DLRxabvDmp99kmsX2SyJxLpkFaSKIFflsf1GVAaJP1fiZsGkdBHBsQL+VFOK0Q6bds7jCMEj+Nhlhu+PjkFbHp/SQXkMYp87cgyOmwC7LLsv3Uxmu3ICjv0AW1AYw7kRIOWG5nx8zsBx6bcE+R8WKX5denrfBGE9/Gv9VCDv/U9kX4XnmCL8Bc4drgpfsGMw9YvVmOuy2TZSqVD8ETYKy2J/xaNzabGOwGeLhLVYv+YPCx02XSy4bHbW/38/E75z0dMFa6LAZPFOYntB1Rs9DjegPeXHFRfcWEeXsnh78bfBLfKRwe7bZ5C/p1uHZFnODqu2pocq3yJ16k+1OWiW5/+YNFwYJmJdP8rXJsm2SDAmNsg5xVoJzk952wEY4MTzVhy/DkRRGTc8I2bL6bKifWL0nX6Knd9Wn1Pzlf8Wse3sD/78mr+NTzL+MD2xv4ddvreEl2nAR41vu8FZOxAGD3eVa2nOOC72hN+jn4Mtm3y3ajPS50PLeXcRF0vOHEXhcTAKA8wccvaIYnMEdF1IWsqyv42KaRIRervm22MI/vGuU8Wc9oja+8YDbgTghXNgYkfzdBOzEDgDya36Vj5/ZGSlkA3WnnSGiUvoZdov072aOqiv3UTgTyGIr1UYaMDrTOeVJ7FZ02+4n4r/fTT6DqMios7OTU9eJ26X5sviPWx8MaLMYmy6ash40ueewnYkk/Fe1OQ1vAZnaM7eSW0SceqfKmL6YLswX28VxT+xWaysnYSR+I58286HgxeciLqxd2frgDVzHskgWMmr7oaRLoU+Zgv4oOfyTjoxs6ytVk/cTtFDoqnywy+RRch8GVaC2gnPDZ6qd6e7tTfGJFtwxnhqvTvE9Om+4LY5NwW9mDVnfuKycSQ3lsAvwqEU6eVMqLDE2BSKHNg1Hcxi3oG9Zn065esg+y3EL6XYyh5tO4uNgdtkIV7wmp2w7sM3F8wybjwiYP0vd+ShLrNhpbUXjMfuJfK5dtP87C9ME7GbNeszamOB4CLWXbb2o3jSnnz3rF8rO/WMroUlYi+F6TrbGQ0QG2xS7nW/ZSzsP6VIC2qGfvMYLEJwJ1P5rjqOHUEZYRGP2s2lqRJceAo+0owBTjSvzljaY6j3ST9THveJ38wRrivPv63XKi0ouJ2PdgYkbPhpcdDbS580WG1MEu1RCEwcI44pX7xJ1sPGw90FYZ5pmjlxdbTw0TE1vZXvfKwXZnOa1o9iOTbacCC5oVT5rB2RWJT4Kfdrzv6TN80pO38L7TM7yyPcOuG17fH/A+aROxb+oVr+9nvKYPeFMfsKvgQXa8fH7Ek/N1KEiDe+swsgHYAfQxpZW4k7LbinfWx8kg7X+V4hRSQHvqd8IzGy7L46USPsHwTIZLp7NuNbiDpvBArgUf7ChV+wzGgsAnYc3BdgfaBp0NXsNBUpw8kbjUSNYv4jXePRuSO4ytzC5ok6Kcz4+ogBsRKn35wak9mJz5Xrc5rG7cJ5zsZ4zAp6I58Dtw2sYRv8IOMQBcm1OzQYfRdxp5dAOuTzDoD+MYVMfj1o5GhmDserfJ2V6P0CKEPOk/DIsxCGZwbtcme3YL2LAxSrLHJ0xS9/go0bCSMewuk4HTHFjvBGY4df7qOykF0pxxNlhtZzJ67KRPOArXYf1MRk0EnvMlQ5ANK5ftYzdRmLDHKOf4MRpT72KYEJvkZmWoFoarnowOJMgm6YsTvFqhiWDiV2tXz61CC75MR+5i0BDztfM0KI81asYaG7e5D067CnDw1o4xNrHIsIfxkDahk8c0pd131I3JUGvLcGZ6AYAbmoYL0HGgjse9g9wDar5oiiez3CkjXrP2mf42bTuRKegxyU92vpMNMBCFcgES867vxDSZ3RcKlLgzWmFZSDQU+MTawTjaf7KTSP/miS9fnCL9CHYA27NUd3/PtBzsOMEIyHXd0BbNdP0QcFb0F0lP9Xw+EZttLdZTaOPtR3srlTcaObf3+wPcCTy0PazfNjyK5ACRnCdccDA7O4UenNqHDtpP4g6m6DhOd7YprK3BRG0Xf19Y5TCSUDNcpvHLdlnQNRknGGV1k6b3CCbvs8CvFWmKNiqoEFTpeYTq9XKpz27H9YqmSZpeTjcJem/iYxEodaycsKroknHIj1mPYIiBERQgudrbs3Fn/LtjDUw+wotUJJI1JY9k2kbOY7pE+yfJsWyXYPE71V8GpA7yD2CIpzntTkRl2zeDL0STHPS5VW6awCvkgU8q9dM1TqJ4/+ktvP/0Jv6f02v4wPYmPrDteEkEb6piB3DFhtMKSdk2MUA6/C3AHGGRNE6KqJfCRE3VZZKBtmsqgzfZNCz3GXagpLNcTjDvyJvySaLhnGUxfDzBFp65wQunP1/wmeW8pj4HfA74cr8qW9nGw2leMGwZoC2c6nq7XRmiwKnL5xukvbSVyB7wx4J2EgwQjiRVWvzotHUgA1Y+CVbPnO8QJvoGP2o5lu4vGn72Yc/liQmDq9TXR2mFv9Tn/F4An4hr9pj4C6+yI9MnY3Nbkj57v0K+hdzOiTdIVIsheNHUZCtb85LGlWDIJ4qESSIqb3nuSpnGcjlf0G300f0SMyw4psasQpNOQT7lxDxpNMRjYX0i/VGBH+rLcrLKyPoj26DMe9lmA9EHjxWPicUBtrms1zHBVxOE0bjjgeF3v3w2OupYc0Hb3FAlNzcs9U6oF9pXs1R11/qMXsd6rW9HiieXTbBV/n+JEx4j1imKoR9Yx5O8CSJCEy3YVx18i0xnB3BlOWqT/NO1WyQXmI791J+8YNbgkrQrlvBW9ivZNRHYGX5g4LU8ZcwBqQqOtq1foZ2EwyWJ0Nitkvc35d0wdKRdr2Bt80JsvhJwOY6cdGx3m0SS8Pd8UkKqS4HJbmM95fJJ4vvcHtnjIZaCoYsk45p185268Z1ILyZi34OpGenjDqWQfKU5uhAQZwTepZqdykMBARwTsEaid+WOeJQVdLwTdpZRMCpGXXz/yNHxnLE/TSrrrhCejDWGV7hzF52nbryhK5JNYbsg8y5AANg64nYIHvWEN/UBr+kTvKKPeEsvbZJFFCdVXFXwpj7gUTdcdMPOluip7VK0iSmYOZ6NtSxIs8HCQi8JHlbAHowxoV4YPTkoI+lZdezYJJQtoKjz+7DLmtu1I/esGzuQ7w7Oye4l9ZWz7LhZ+0U/px05ZLhyngCfYppUc8cp8YFPLGRHxXDa797wCZKrNB7uO0d5hazv/NI4OWW7Ft0YS0ouGMbbANFg1mvPcwKuG+3QZJA7jHuftAU5yP79nJRhNpgNR/aVcOCrrxW+Y7aczEp1ReOvy4ZrfD4lTWNq+ErGPe+kcgOIyodJBNFgxHLV6JNFHtiwiXSF38PpdOtjSv1NhlflB7mfmeV1qsPlH8mzvU8ImwGdjcvcJx8bc6yjKI94AvqO/bWRFTrBAUByrqr+Amgyc4DVyiVjv6vLeeJtBQdGGRNxarrUwHSelrDqMOCjmMxbpj4+tpDJxirLwhzgClWw7OmTlr5bhuRhoBFBCPK5sNi136EW5bfQwhagyyubKdwI2cDYtUq8GZxP/l1M0tn7MJHO+q+gT1H4CRGess7c5qFY+tE6xns65snapbb5qOzJaceQl7kPq/5MR50XdJBTDjiG77wIxeQP5yvoi50cntjlyV1eAJFl77TLysqbPOLuGb8d9A+L965PiudNjqcB9mcSx8v4Lk1GzDJo8OY8fnUHJkeR4HC5sqFNJgng9/3QQpyGo3EcZWtb53q5D/be+HCn46fyDogKZrPZ+qr87dJ/M3xcB/N8pt9CHvhrpj9fqKJRrgFjUemL9HypoNUc1Aj56HeoZjUpabICgzaWMqvzqzKZZJl5Sw4cBJA/rqmyPxSNB23Ht+0wKvxEp9+zAmeFPOw4PVzxcLri2g2WdhfsFe+TDQ+yYccVb6q2o4mxY6NBENGh19l240S6O+iiLKsQn8Wd62h2Xsq3vJvQeDXTD+MtgTjMkXQtw62U8gTfNoJVFyf9V9lXsXKMSb4VnxS72PzT/rbiXaKToBe7fcYLtkXaztwddqWTDB9uowqrzktq29q8SoSb7USjsX5v/RUYk5y0KC7Y3hYYVgJjgWMVdN9dxoLvXn4/j/Z9R+mNxHYK91sBbCE2geBnuW4B6Vle9C7j+SFhKaFZB27yRBi6DjO5Zz5GFXexcrGjROupr8EPWcTMjhaW5MC6+41WP//x4ldQP7PjxrpnMQHn9dPnNKmX86U08CxjLGxQRcK7qf4bKU/+hHZzXhv3rWhIcPeR03OMF5MMtlhantwO9jTR1cg3TgZstKqEdxm8R+PLfQgdP9DzYUySEXw08VmmxB+TT1mBYXlZrhJ/D76+E5Y7Bu6mfcr8kF8Rq2l6LvYi8aDbA/29yxXKF/z/og9T3OwAxgArAeq2CJXJNCR9wXoQQVlGYnxn2Fgu5Jh21ZcILGK/K97K9RT2ZWDlW/SS5PH0mny76RSvDGvFg1Zuwxz7SG3weA59bwiW+En9c57hZxUPEJ35GBKf8sKQu4Qfjf3zyGku698Jv9z2c9f7q5BeTMS+R5PrMxdcjepGELgHy233gAdM+jNe+daVutKEZRDIhUHKiVclTzutMHbGyg4/amYIA033BUpTKnbUJzrs9t0nW7Qfs1jcQ0SGgQD9aB4Am7Qdc0IMaUemmKTRNhGl3TDWE3ARjGNWTzqOSenNirRJ1kc94bX9KX7p+j68JI94bXsdO4CX5IpH2fCmPsHr16d47fIUb1wecO0BbNnUd3btJxm+mii26zgu1oV1Oq61OVJxonKsdosHUbNA208k/Gk3lH+S4cKTTpOSyIaYwy9jFaTRmMgIwvWxHc/bs9OzsePFxmrbScEn5W0TWfsDwAFhPak7WyGYzvTBO2TtmemsbeDbnGgP/NDuHMaFtbV3xxIddx6A73k9+PXYfu99hex2MbwZ/dt5/9KOojAeVLTdhH33m+9cKoImPpyCVu9pvMYu2B4VEMH1KQBR7BfxlcQA0VzejdL7ZMfD+tHEzlsET6el4Mi4XJHGh10btTLqBoE5raMjY5wCPL2tjSeRi/zSx4kNRjNa+ZgXr6JPll+JHkV7HnO2eEe2EFgmT9gQ7v1rx2YJcOrVbP2v0zsb04ZD7oO3QbhpO5vSndsgOA2ObfCLBzvsSGk2khi/hFaI8ZbEsWEj2WC2eiThSJrsDF4H8UkLvih0Fw8GKgYvt/JxrJ3GDQh7rogBResaITIYextGkG50uX1eeiCsL5gwHgzO/amV35iO8gIUpTaNF/zo/Nh2FeiYgk1saOYJdpKTLle18arQeHi9u2Cnu9u9XxCIqPO64ULPwP6S9a/1bbNJWp+gLeC0dvexIy9MFHfeb/dnj4HI/rzz8bXrCl5QsMdPo/sgVwiHnFjvhglrFN9NVwBjJ2vW1QYrMCaqcx7DgQ5ZZrzJsmc6rj/xrOt2HXmutOAj8JIteFjhote9PbZx2h5bOTuJQrqtxDrH6elKu4mljQ/3y/J4vywgav1IY+QrpIsVtPmIdg8ypf6wM6r7WKTo73e0Nnb4YgbXbxstNmO7wtvElBr9aHgf7nhVRH42mQDKE3AA+GkBU70YvgENKsteO/kC6dqEMuiiQw6YfnGdKoQHHfn97nazQxHln9meXI4nhU2Hya6+KMyOf/NdzLy7+cVu2LtSm3xiRiiI1VKF0hVt93ds/7je3MezoGeS/nN5xAuFraLE060qHn80hZtP5GH66HVNC5GzrYOah6fgkdk0ZNeMBbsyFkOZrlU0n+S84/yw4+nTC55sV1+Q+5I84iW54pXtCZ7KAx6vr+MZFCcoHuSKh+2CTRSbaFsYafy9aTv5abMdDwPIFPMueS74RtZPJX7dub7CbkmnbgXbnGgjxBAYjWT+DZzOAzBPJM19BJGNt6tpPFlOFuMcJpJAeflqGy6X7Ivsl3hMgRaAeR7TxWTzWQdsN6rjxcp2u2JDW2hudoKqNHmOdm/swKVCO82sJsb8VJXMdgTX/tBl8kncFpJLN9cVLb5CsRGuJ9BMBoP0q/tR9ml81eNGdZQ5/bZ+5UnzVEal2bLunxf1oGgy2J2LMg6H+++IC1c7n8qu7kdKRlq2g7lq470ka5c8cUM9rhZWxEzjM8g6GtOKd9xWAIadz23QwtkAssBPDgDhzPIeaK6IO6Y14v1Gsxj+YgYiAEN0LISePFYyZGrwnV2mxryr5L5tHnuSy85T3ka8+93aYpnDusrr2MdpAwZ3iFfQWI+BqWlfgHgcdNVHVzqpbzlvkIdRSWc6D/jWeVGJN2uPT12P9QUoyuUOeGWa7AugScxX2BWhbNe7lW4KPlTqa46/8lj5syxrhMYPlB8Rh36qlfFs0m0M5wSHgW7X9xkt8WlL1F7YOIKEJqL9rP+4zVAf5vHJ9YVJRUWpTkIq8lT9Dn5brkIO2sm8bXEtamcqn2kwyZqpLcNjr5/9tBKkBW4zrw49puHdiPlKOAGK65hOXCn653HYIE/WQpPti62YkA4++idqAeed6cVE7HswucDt53AH4UNMVt4LgpoJ8jOn4QXdT86NPx9O7jIAWdR1byoDLocWWW9bMOMpCRw3Quw9w8dKre9M1F1wVcFVN+x9h+tbezuC+LX9KV7XN3BVwVt6wpt6xlv7A17fn+DZfsJ137DvFCW/hQNStofdDXDr/Dwp38rQy8GGyQCowHNlbl+OgLxdT0557HzylgyMMH4J9gn4xcohzsrHGYn2e1Wzc1cYj6FaMibcQF0ZAGatW7m9WJ2Xx8thjRq44rWJZ3lcu5Orgr5rk9qyfFukBd4BGibXeFV0Cqo7HOR8iVtbRbI6j4yPo1TiGdGQQDKuFk6E6JgUDPKxkr8J/luOtRfnvEZLYhVpKJtx6kZRUafj24IeG4JzFfuvEVZSDWPiTga5ZplBfR9AZKB6U12WOn9Qm+4YKEbgh50PakeVaEST/rEyFZkpoXdl+Kb8egL2nqGSB4po8Gajr9RhB4Z8lSb4bpXbcKj//Dc/X8gaAMOB5Eo5wFJFhBY4zePEuknob1RjO2dkCR//DuO54L0cGJ0mJa2+FQ4PeKCSgQa+015ddIwJ10d9YpUxOaepUi9T5bnH/ljUG2S0FCIov8+ykPp1pApKsCr7hdot75VkWjJYDvVE3DXA78vgSEWTt/rF8j61799RtMdVrMYw5yW5lOtxmjzikQPd1YJ/dU/jEYgLWKku83EkZc6T4Fb3i8nYj3Na8UVKh/qyqlYRdG37wvWt6acFi3Uqc3dKPH1Yz5aZA5EnF/XbpLBCnI7ZT4EA22nHw+mK07b7qUqPesKjbnjUKzZsuMKOJhZcIdh1axOx0L4jdgCuJD+WPoMyfO2V8XoZcPM8NYJCUJPLcZtlQbj+u5fGAOLxVCYHRudyqe3+Odm/UpRxG1fm/gFh8lUS3vj7csLO6XEeO0XM411Q+IIv3wkTxlem+peJbbWUf7KxHVcK6YtpbC3qpu39xs4C+kvyWwY/yNB5pofIJ/HFva4HBnL4WRmTSLQX4jfcJd4lhGS3sL5+HlyG+mv96vXTmIexPmpL+iIn0uFhAePKjuHP5zGwHG6h76Axob9YILYZ+pCeF/Qd3nGdZABNEwY2xtvAq9dBmSW3x8cXYx6zW3KshL+ghRBv2AgOouUwsX4kF0v7LD7kydjIewSn59PYl5VMTXzkbfRymmFj+VbSc8u0jFYHWN6Owud2BjxT/E/nrt6TOFbo9YcMqCd8Mg/kxgteZn9x+SzrRVske7A791A3YY12G1PHAT8n2mq2T3sg+4zlVUzb+eCIt1YytxoHlvVVXQs9HNoGxqaGCqYjWZF3Y+rguxzjcLDvIUobp7xAjOCr/XbBajLWyh22Wdl9CabyDpQqX/VqQbNs6+b+LnUHhq58N56k9GIi9j2YwiRIMjjZMbA7nYJBEgxqODO6UE33TdUTRpjecSAkHOvW30XDpz8/AbgKxLbQZWPP8gNtd6EC+Q7S6WJ5TqYETtLKJwHIazXaUTva7hzrK4xNZ8ilbSLUDdg2gV4V+2WDPirefPaATRRvXB/w8umMj15fAgBcVXCSHVfd8NH9Zby2P8FH3vpk/NLjK/iVZy/hzcsZj9cT9qu0yZ1donGg8EkKG+v91FH0OCt3vxvYdgPazqo8VmQY5aOUsjPq75KhWTs5vGuC7m7j4wvzKveUgrKgseJjjvLxkG0nbN/9bW358Xkywa3Sd+Q8Ek6IJ9wx6/Rg30XRVvtKpOewAxygFeHadm2bJWF5tK8+3jFW+XKH+hjI1XaeyDAuujHjPs5Z2ynGFzuaWLA9dvw/UT/2KGyA2Itd72eEnQT7psBD78c1ZrY7GW13eOtPHMyr4anvCIDRgdF07zDvwjKDTdT6ThX23V9h1X5Fl95JG4Pinb13fGDgVMZ3nii29trO2LZLyoJ0+0PDjXKbgmgsUACu0aX1RSYjzHZd7Q+xrza+FV16nrT7TaXf00tBj91WnZ+B68OAK8RiTnaP8Bg3321MPD7ZWKkuZYd4khktk+20VrvLNPdnF8dXCJzZ59n0FOHyQmNpON0U0u85doeBQK8my502LZPtqHzaaPf0lmB7RvTiQcII8/7QYNo6jNtVvdLJkc2TdlkeMroLfZff2+KP3Xaw9jHdeSdc0hEsy3wnh98RPuRACCTs4vei+vjTXWJTG9bP65BvuunQg+i0tw95EBbc7DTA3Hf6HLTSFtGcLHiZji5nXWh0kHcnKuAnCQQ8KUL/WM4LbPdt65fhno99V4HrqykxDbBsIZ3BNMD6l2WZML67s+b02euTraNUhhwZFVN7aVeT86TOm4vDyQE9r+zSj7lvBbbLyKObHYuvnWYr4Q5yXpWeLfBX9cNeb+kZ2Rdcxk+NSbbMdtXh/HY8qgy+AcbuXsMHL05iGQBgfeyiAnYHrvdnA1aOtOcjO8zyOVwZt0n/GbxBbtPuVNZnDLvavzx0jB8FtkcdOwel9SWMofRjKvvVICFo4av0dQRFtnjX3YtUJ/f5plmJdNT1sgKEsZ0mVC0PPQuj0svPkyKImft4B5sAje/CTnKCow6eKSbZarqofzmkm8XOzOoeR+M7Pu7ddecZzV7uMufh4Yr3P32G9z+8hafbBScoXtuf4kGueFObIn1TFW9qu87mzf0BV91wlr1N3m5tZ+zVbOxNoSdbKNoUqvtm+/znODCZluyNm4t4mQ6SHgr5lniF68ppkiLFCxiGw7trM9xF4uM2zRZ2m9h0t+2So374iUDWTvJF2IYIfbQsLPPJFmK/wbOTnu/mZGwHdHr9RYCTtl2q0mSl3+XtvDZwFmws80F2gn2S251H7Phtg6P7b3oRyBnYzY6nk5QGnmTIbdIDfloL+8G9v376RIdnN97JdhaJh7DJ3frHtlO2lXTkUXuG+MxRYGOScURj4ycfIY030TqjleUEq9LAW/yC7dANwLWrPx0iPdNpa0vBtGN9uH2918Bx6C/xj8fYKJ/7jQw7Efp6iwglteKznRImDu3ZLrSrW/wUHkHDc4gbmA3dfcJhV1MHWH4m2cY0QMM/JleLCZfmDBBOEy59EjbrsTxEVA/jaToJQvx1hIWzEE5sksJt1EoGo7drdG79ZQHV9VHmnTDxzEWAztcajubOMa/IILfTyh6I+kYiLDTeE92v2jay5hMFJMoU9hum/hvtsa/cPye7yb5umOjI8Z129+t5yGxuf+pDgsnGzfwFr9OGw2iHFnPmWJn1y+wf2dFPgRv1GB1lH9rHgfRGGAPSoVN3svzjOLeNkcUliVcDzZblrVHxjzwRz/GNwOcV7OTTOZ9kHYEulyxvYRdZPWo+ISifzvI/dk4wZs21F42LXIJsZ9xafdlvTe0M/44VcMyb7yYfc1S1HCrhpz5Eu3z8CJuHtsSb72B6MRH7Hk1jJcyg0ji12NKxM1RT+EqJfczJBeyi8rCtaQ3Pc698v8XM3hAJ69AextnrZmj1SYLLvrXdrdpWLL+1n/EgD3h9f4qP7i/3idiX8Nr+FG9cn+CN6wMefUesjPqCQcOwYygP4L5+UH8M/lCl1t+nsneiORjFU1tRwIb6XYGz9kFUXGTkV3qI398GtH68XHWkZLQhGT+rOt0AjscXTgHfvsO2aDIA5ooapG+42L19L5LxVZgMYFiVGvWJyX6H8kn9ziDN/MiONhDuN6pgmPrE781gynRxdydT/YUhkwOLEyh5/FJdN1etUb4juep0zpON1raO7vvxkEUboR3B2AFr+LNV5/b7Xv5JhmQ4NmTZ7877WNy7csdY3iW2BfEYJ643j5vOJOE/ZB7LJIpcTPMxc2VmeqaCtkv87dBvShOtPU99C2RyQHDik1v6QTCO9jI5SXAyzU8B3PxM0liyzs1tH8FGfeAFHqG/pTJZPMvNP085i7CWyoPqy7JBxzvpvw+quJ0Y52Zv7PDd/ct6D57rKh/R0iT/8zgXdXA/w/hnujlKhe2TFx7MOnnkD4EHh4VPe9G67kqWfix6C3NfJ6e9FGgRttoJn9uq8h/a3tS3sGNtlchx9mC3yeUFnMwDSJ9TYPNFupmyvFnSBtkeH18AYr2Zx+/2P2/pgZzMjkpHE2e+Prw7sS8a84W8SvBX/cnt21dRP2bY0iNOeFMf8Khv4YQdjwo/celRz9gh2BdE7rYj268ZjvR7Gv+3Mc53T9q/jboDHVSGWAAEN+mBJ9eyrb3y47hsCGauxjh0oH629Clv4DK37RMWif5iJ3WyuULa7xSbNttHTQgtwnIdwIvKeLw44E3+jdKn182LlZ5Tpt+0j5hfGcb8HQe0nela5vH0SQSq1vX2AWyHz1wmj+u4zNbmnZSl/Kx4ZmU3HNChJp4J/EMy6FY996Zgj91KgT+kfvc24Dpin2XKNklqf6JBn01/3oZSs4YvbvsoJfqNlZEdzPmNrjNt0vv2XShzrocNgNQBlSI/l7ttH0zydZXf3t3SY7dSkSfrjMnHvlUl+0D0bPIDP478xrR5aBcetcdyRTAUb/6jPBNaVmN2j96tYOnfeXGf6PBnwhU2qHHvoFkZk8GVbDGyPxjrQzwX7a3kdFyUQbBZ2Y+FLvqczPPa5Pf65y1vnTnb4esYxYG9vpxrwoujiV+kjzFxoB6kLLukZ0FtOt5/YHzfLuPBFOywlQn2wCZEshClMnzHLHq7YcLAFVK/x/DaBaPd+7prX+Wuk3CrdkG0FVk0/ZzhEbTdsAEmHbDyzhLbxSvtXlZVxb6nste2kxKbYH9zww7gzTeeQFXw6vue4uXTIwDg9f0JXr0+xS9e3o9HPeHV61O8tZ/xs298El57fIrXHx/w7HLC5bJBrxtwlbYzuK9m9NVVNi4WLO0rOMR2spkyuWKsriHcOy66lvNVaTR+KhiBWdsJR6t9fSKMV/MJP0uCnhUYteV4P5FQN7jYqNfWaRH1SSRO1+TEWVuGn7BKzFY29+enZwK5GF305mkVbKZr22VsaT8JraQaCpyKxHtkpb+nnSBWllcfBqVkP7d+d8wVY1eqL+drGX23ogDXJ+N5y0sf7CBZvSQffIz6PZe8ktjK8o461b4a+tQaXx314AGHjm8eLC+TnPBRUHB90nB0eot3kc6yIfSX6NODDL0vtvo9rGbP9Ir022mh/52k3XfRdzr4OGP003iKAz9eJxDljvHUKcK+nxM8++B11Uab0oMe0ndm7WcZq9M67H7/q/WD7l6y5231uY6V6xfBtmvQMQFfhjPeIZZWqw9PiPDYxwTA0GG0GwH9vm+/T8To4gyfOHPfzlZJXoeMCDqM+tzgbDus8GDCQlw3BhnPK6ftQ8KjwR/Sd0SzXuyLJ3xH8WUc22YnGuzoRyym3YWcHHaGReY8/GgOaMnYRbr3puiOWBuTIDO5vFDeLl6cjsz2OGkPTGNx9A71TzF25J+o09rrOTebAFcAV8G2J1lE8ugux2BHV+ni/RQgyL/DoDnD3XnPx3zDWOFOgcO8Q1Iu/X7jfbzbn/Q67V7UJLODXOi0b3d2yz76UJ6mgFnuuI7H+ATg9wjrmWQPyepshzCx7cTXQcbbmPMwdH7e6CQP3iVr+sDobT+L94N1retTHrOsO+yxxr5WwZjKEasWpZjOaavNNeq7hHPj6Wyb3AxqAIFfhv1mfbej4HUU6ZPBIfhGX4IuzE0r+pYqOiFjxb8EPx+LmBfgTQEDl9Nxiajyka8EX9Tr6s88gN0DlU3faa8L03i9SItEJ2PwDlgATkuAjbGOnQosKy37ZLMdyGQa3yzrsvwNuoiCSdWpSuE4Retf3yrosh7iwSmr12g1B3rCkddAu3+z4yrkuw66GzIqyZMkf4JdrsDeF/Ha3+v7E/zC5f14PJ3xi9sbeEmueLMfVfy6PsUvX1/BL19exuuXJ3jj8tB8045w3RTSdb3rN+32XOjfkE+MR/avXcamcojFCI8haxzfircl5mH+buUl1pPbTO3D+gtg6zGFaBTFMjzuzRYSt0GDn8TlVYb+prGu9IcUuA22KMnL0K19pnPedRRkKtBsJCvnu8Q7PYRTwmTsltO4y09sFyHBw7qt6a7B1HqKhKC7uD8p51b/bqeNJHuD4wd5ktXtf0vmtxv8lsi28roF/V7cWGfwhXPKOi3he5JhyS5ju7lUryQLm+7vu0Ct/ryzNy/qNLjNVrJnRgfdD0anXfcXMXhcuwhvbYobIZL7wvUX/OzywOA82SlQtCPWfcoRW8gmbRsrOgLYJtu4v70D1WkD01h2+vX6qA/D/5TwOH/3/k3jTTJIOj4XsHgrMoqG8TX5QWWZf4cPKP7eTxLLNFzp1sW4lfK2ypsGyv0KXkzPcpHlEO++7OPR6JPksE3ibN3aMDG1A9JjRzoRHeGm2sBBn5P/puP6sHEKW1G5CpNIKatHvwZuQnyFPxcwrnzUabyuCd+Uxxba5PhROLUJEXaHmcaH87mNU+loEF4NJxs9F4BQl36MfEOuCLZLs0fMj+X4U9gEQnWGPnSblOl6wj3zYK7PqrVJWPrdYjE63k+4iHpvNKf9+jh6wYrI+CZvqOAj8TWwfoKV8Mj1+3hp/N3fN72kjsPKxm7PYocGnXcJnBfMegUK9htz34PPmNuoJkaZX7Z2KmnQ4xg4Wk3GZp4RLdrKSuldlF5MxL4XkxtHOjE7B0osVUdO8STp4fZvP05WhwBeELIZ2ZOzsTBicuDGgkPzpIgOAQb0S0ni+3ZfqIz8N9Jq8ogNjDbpNGBxB+zaj6G5CK6XDY+PJ1z2DY+6AdcHnHXDZT/hrf2MRz3htUubiH3t8SneuLRJ2F0Fum99N6wMxy5MCPbxQZLUPNl3q6tJ2NszqydkFXgQRuiZ27WkvF3QkeDLbQgJcqvL+6Fj3EwhczC4dIoJ5mAcLujL+MODvGxAG51aeVP8yRBTPvrA8H7lJqKS9slj51Gqj/mBjSv6dPgyLjgFPMvgf+K/PHFmDsuYXKkIZxyHPBwaM4T6JxmljYcSUZCzz7Tn45SdUO4P04kZaBugj+N9ZWBVwaBKnFk/Dh28jBEeM4NrsyN/uWKjtY4Pm9SUUTx4g8ZUOfBk+QlOm+wxnDrtG3zW/jbuVnK85yBHpieDuX93sK7iR3EHo5gmmtkAn4y1jMRpFhERX70bItqNbsIF4YWdScOpMG4TDmMgX2lhiek+hmk0WJIFj7fD32HZY1t2bxffi+k7A6XJ9BAgpv5yP/17Rp/MaJ0mkZIM9fyVXF31d5JdQh1t/cRJe/9llAPmo/p6PVlke5mOM3OigzPIVUj8tL6Ftqm9St4cOWveTYO3078vnNnGuIdxSzrS6ZQCt+NId/HJ8UDnGOgNOpEzZFrJcFP5OUPMy4GW8LzDJQwUMOQVOc8T7vN4pcBr+Oxj4nSZFqlw063bi4U4lmxsAbATKD74kR9yynah45HG9nkduZW9XOZzGaKBvuyI43CoXw4QHPA000OT33HBZpblU7KmNqPlPMi3Ycg2WIavfJb4d8kD98izFynZArVO9ndpS1fQOUmIB9rS+XuVjuTv3emg/IB39POmbzjRlQR5yInvjm5ttS961C+zRbRp/10FV2z9ftgz3twf8Jq2sMyjbrhC8ObejiZ+az/jsm+tLOta4isF6mu5kmyeA9jDpmK75LnGr7BJbtVRV0yfWceC6GrF/yv9mGC91xaqAtSh76TrQzva5KRu6SjWjI9QPx3HnfvB9aKzJ8vIpC9HuYLP7fPG2DSaaAif7IJgz3aA3DFJulPodZ6ITYtplPOkkyfs/TSRwc9v6EH+HIVv03rWldOznGicAi3ntis6znmw+E04ZNks/D7J8BLGAmel3ygIsYaJjzL8iX4bKOKvlPOUBtn8fvi8RSr6N8ltpOFKYzDJsBvywevKsypLfkSUISu6M1s21DXzA7eRfaKlbNM78q1kZLIVpzYT3bteIXnQYr308ihp/b2ScxynbPJXygIT/6d+lXTEKY9v1lVZxt6QSZbFroeBzvLMcFhXcgArwVnp5rtiAUU6suenNtzRS0MuM8pgv1nO18N408aMgGBJS6Pu25Vlf5TrGzYAnVpwoO/DY8pbxTbis4JvCn5jO+XesW7l70UqtT09iwuFD8tUed4mXd5DD++m3bDAi4nY937KwtB+G/Pt8yqSsdJkWGzOvH6vZSG0024Gr4/zZMMiCVJ2iv0oMx1CQjYBrpGTLJ/n31J5b5u1dDR0lOrivngbxYpYufZ5m0sXubZbFcD20Oq6vHXCRRT/+7X3443LA56eLnhyuuLJdsFLpwue7Se8+vgUj/sJv/TGy3h2OeGtZ2dcHs/YH7e2o8sDtcW9FEr3ZRKe7L66ngWy2R10o7NiBhGvThXEyUwg7Ha23XU8buYY5d2jKm0yYRJq2lYn23erx39bH/oO6hwYtXf2jA18XoXnnzR21h8Vw11fscsGlmCsFOIJFMNxvjeJYA+72Crj4NoB1qEsG8wy6OskA+ZkVHh91g7fE7x1Zzjt2mNny2CfJmWsLE/C6sBxgGHT1m5fAWvPbGLP4Av3x24Dgbai1WFgWDreJqet0xgUwAOgqtieCd0BB8eD0zHgEzaOL9rBx0ae4/QSjdvR8fSb3k9xDKK7/UHHpLTADX+DKR8DnPuqopHXbfyYvzvsajv8eKeXArKBVge3v51g5ACKBzkS37WyI9jCMrDRe++X6YdMX9Y9G4t832tGs8k5yKA5gpH1UkR+wk/Bi5Znu3YWOo1OyiXWqZsOGRtt6tHFLlKnxTtk6GbHjieW9lNa82KyASPPNOlk5a3KtPuSZZaP2SahIbUFA9uQkVVwZQo09zHcINjNqw581Y8mt52ezwRMD1bfRmMTJtqI5pvu6vmu/W7dSz8dgu8nTvRmiweM31iXqcl3uqeGZTfv8p2CJQsD3XSuChoNGS+xzMagkRyssgVWzaZIhXo97OBNKvWESH/Sd1iTzJcrwWD1Wf+ofdFOF7w7GrFuhxmGu8TPNH550QiYLgkO1h84Sdu5RnaFdz7zvIGV3zG9EmweyNjqI9G5PZN9087/UABx8rEPelglbp+8I5qHuZCFK0dUpctFJNvduqdAnqjN8IafOsPCAQMxni7KBdhYz1Zt5TGwnxudgrLYhZttQN4BPMFh8ojByBPDL1KdJJ4E5I8DLa5xybZ3IBc6viwHcVi2TUGlTLtlm0xMGDoz72Cr4O6yYLWrwbPpDLP5J62/UvOadtpTNN8VfXcq2vPtKi3efEXbufgowLbh8dkZbzx7wOtPnuDZfsbr1yf4xev78Pr+FC9tj3iQC97cn+BRT/jpx0/Gzz37JPzis/fh9ccnePNyxvUq7Wob8h9dtmSZcUK7QsT8oANW4SBezieZXli/b3W+MiVdEXbjkt+XdYHR0VS/2x3tJCXLCyDsYGpycPicdmJInguwyYTQLmI93K59t8eb75xV/wynABSwQzAm1zsuHC7S4e5TbMUYsU2TdLS/Z/6VVKag7RV/qtkf3A1F203T9SDrHek2hG46bIBqxzjZigaDgvRyoVsd79SP/TROogk+PQr6SXiqaH+SmWRnBBVYyYeur/l+4+VJDlZvoi1/53+FDamg64L6K1rgv11l0GXRb6Zh7buS2G73na92n3KOuxT9qewyz9pMgXhNSH/h8Zugl0YFPOHmWYiWOZbGsI28Ovgg8YtX5XIFzo9zBxk0qXnSwD/3kxq6f+NyRbrOVLQddh3fdoKS+9QLuvX2udnnMIemWFGWa9nvZXoU+mQ4bGwTbIGPkw9XtuFAxudhB6v7z03g+Olh/UQlp+N7ZxxZxsiQHaJosVTu40r+IuqJCceY3w37CRTDHH++QYg3Q3BVzGsY37MecLnMcNL4TX3CaDMswDd5UfTLdWyWqVSGfa4Mj+HA694BnKSdUqKAXCL+XDcaT1V2gmK2A1Oeim/K+PRU75zf+pZT5SPzuFaJZXTYwMays6I90j+tyOxXZbtq3zD5zuzD8z20pR1f4b2fAhnmbLLMUURb34qnXeKVvhr1mG/JRI0Qi7ffN++f/QSmFxOx78VUCoseujHDk/MZw21dfnai1JOM/IooLCUaI8FYTwYK2CFOSuCeFIIvUIdxujuU+1IcKzXfkIse+AFJaCTrjcBNisOO+2nB024cXhqc+0NzKvAo2OWEj77+FM8uJzw5X/Hk3CZjXz4/4rpv+JVnT3G5nvDam09wuWy4PDtDn21ttmSXNqG1ywjWFgKwcnzdyOjGsezAxs6cCZ+Mu5VhhXE5u+Mk7UD1I8H6GBjdMW3kY5uCELXPysBjw4X6HvrbcTEC3kK7M2kMTbHZJH4HoMFLdeWjGwLuE5H4WIzneTFBexgVpeyASD9yAZiOr62DxfO5/KtgMQc1jSb2c7QaQhDc+zf65PBaUN12ET9E4GzCTh7bpBbfOToMuj4Z2+vzGtgY5TK+QKCNU5NJgu1RYbvs+O4hdozE8NsV/Q4JtMCsLmbAMe1lXqPHJX2m8bCjfydjaDFhz8ZTgMGMFZXBGzImRjc+gjeNIx9dw4EaC0iEvDyhw+JVU3+7XLfJ9kHbjX/2k87H9Fj3DB5+l3SHG4E72tHrjCeyENlRZvldnIKZOtp54dR5QYDtGcYuRAdWHG9M9wFuhR8PHyzBzD8ZCBkBON35sca8hbzjdwDaEeV5IRTzrRn0PBFrx85udLR42snMstN1DQV1N5Bha/IBxIPXLqv6EcUmHxoRw4NvblOk+2SNxkXhx7Bvl1avB/POjd48uCIadraHIaG++BGShiPTHWmcWP6XAQzjV5KzANrELMExKgTtnG0vhbbGBxlE+srozmgtOGx58ZS1A3hwnYM1eceqB+PMgbWJWJnr9clyc1RMnjG+aGzC6Rykz3x3/pJ2pfMIP5vHIMiAXmwZqOHyxFfrSUYFuJ8JBndSu35pwq+VcVuD7B2zcbLuCLr8iNZItEgyVFmfVcFizjd+5JfxgTvYRAsx+GmrmgffsvyyE0COJkI5COVj4fg2ZIiP1wCuyw+pdkXFAX0xEXs7KS98HOZESzRDdxjEJTkYZAY94/1/tpgg27KrNpY8cUDvN1NR/ugeWABhEnYKMhWyx20dTXltke21k/hVoBdgvwqeXc5463rG437CW3LGq9eX8CgX/MLl/XiQC17fn+JRz/g/jx/ALz2+3Bf0bni8btB9a0fD7jItknE9Z/LC9Awf25vsD+7bkWwB6H2h96b+HyWWK/Yo69hcJNFRoDuizRGj6PYrdJIt+cjf8JrlFFK+Vb+YzngcVnlTHwLu01iotb3TmHoFsT7XwbYotNsgM24GjUx+4D2pL86VXeKuT/rqtNd1aLA3FwuKA2kmvE99SPAG3Z8nO2/JkES/bAME/5Z5jeCZqq5kBQZdcbxpCQ9GnhCjA0KDvFA58EjHgx+vq63CFl8rwBOqT8ZYhUlYG8MUIPfyk80RPyWPSQbCcapNxoW6mHEOyt4aZxDtd5idV93IQhA2inlhn3KeychMeTvOeOHMNPFF9fqVZElfc5lJTt3qO70vJ1EOUmVHO554LBT12HCjbPcvFllke2Gya7X7lhv8RCovRzg+6p+3BWpbaFwTvTl5Zzqj30f202q8cxu7oPVtJ2uqNx5gpnIso8qFOpSqSUpeEG4NaMo/LWZOsB31CyBaZbmZF0vZa4sLUdu++JurJj0ZwEhjc/d9qTSGpYy0Om/pE2vT4ZQShoCTgp78dwVIH6M8noEX6NlN+gPAvlj2WQNsKVU+Lo/dyCc1XmTkneP53YjQfpbcAQwOY5IjPAnbaGW+nuSdSi8mYt+jKd9ns1wNTN+nYJZi7BphQxOUN636tzb5WXaMsjAf7yLR+4RwL3NPMIVXFTZQ0hntsP7IuB+Wd2e50aWhvnh8FQv3/iMZGu2+WMH2ZnOIH5+e/bgpAHi8nvDG4wOu+4Y3H8/tTqDHfiTxZesrmaWtjrv0u1r6xEew6/i7Gdtpl2DpGEvHjehEB9loc4c9jz2PHTt+1Qo2wxsizPOuEdoxyTAxSKyUutJ3B8PGvR8NG+6Y7O1sdA8sALorQrz+aSeOJTIOc/CY76oLyr0/4yBXa4cWRzCe+viFQPvCsGNDwFZ8RcOFFHtfiZ/x6e0Y3WDgQVL+YPRzFIGNU4PhBGDTcaenHSdqZSUc3BG6FwFML3Uc92Zjv59thbNMcqLxhsxOaNUYjVMVGMxBEae9DX3xBfrEENod1UiiV6iNYsIzBGrA+CL6secqtNOYYCwmiMXkgsFLd86a7Jj8RHeAjB5IVjjtDz1j4+Lt8XeSIb7S3vpOCwRcn5iTdDJ5VslxQ5JVTv1NKKgcLpOf26P492nCadPeD5nrTzqv4Uti+66HANmAHXGHM8NmK8h3q8Mmb650TKjEoiyLw05HDPlWBdjyeLOOMEdV+TkQ+Ea0O4MGx5WcXu478253kIQazo7XaDMPVs+SdknYuPnqZkXQHixvLCgYVl3Ds4Zglds8QjBRXp7UzPYNn2YwndBgdChUwD5OsU5fwUvjlyc3SgdLR18c5vydFhgFGvK7uulZoS9YRwSaM7wRHcRV7hgncOjIj41kBjouZN7VSyibHUaDOctbhlvm59O78EJiH/Jr10Mmg2xCtt/BmHmvgGm8GDJySj5OecCJB6ieULRYELNylqvkK44zjwLwCTqtcRTuKSpkMGD0RHApDYbpnm28jrTcftwMIDxHf/8/nUgeZ1qdFaiOp0k3TPg+GhvLIjMfrviy8jf593wKj+3ES/ZSxS98X0Ru+xYdTXKldUBB+rwvLjMZjz4Ru6EvhBHg+uyEZw/NR/zlx5fw1n7Crhuebo941BMe5IrX9yd4az/j/zx7P37xrffhjcsD3nj2gMfrqd0R23e4+WQv9Zdx7TuTbALF9IL1J+ssxh8KO4LxkH8TnkofSzHzMf0eC1piphw7YDkf7VwGlvJ1+44XKfpjifV4/WZz+RmbGH8L+gy84XiXu8oEPijGYuKJrPe5LNlFU+J35jOSr+JywXFKpylxNW5X2SlaMib8uq3Dp48EnGY4FzD6a6PbSnbxmG1k4xj9V3KAbKPJbrDxAI1n/l3AykkS/CrDdxw7SXXQ07aANdHE8K/SLmvDgdm4IP63/vAuQh4rHhOD167eIfst2AnOL10/m09zRS0vwLy46F8wdEa+TMLBBrXFAJu2HeU0PgrQAlqqU9Fp9UBpsdxwv3ix2WM5K0CwmDze6fcwrUatBq9iHD1OsrSMdxawBxQvdGwAn97rJuP+3zTeOS+36W1x/zvqHGSjl1xPwtMABoEOqn4EH8r1oQHEbYyK8zhynM1hRpp4D/qkgHMCLDZt14sogca4En5nuOPFtR1n+RQZhsfrk+IZYrlSDxd1sqz0umlBTZA9iDAPBPTPtJDbmyx43E9q5P5ufRHJFulhirEqRoz/wKircBDiIAYaDSPASsIAAQAASURBVFYFb66z9YtOlyRZucqf4Zh8W8RnAd4Et792Wju403XdlToxXWPAlXUXx/yP0j3HQbeMDdIjWcbtMpDTVWCCyaZ8J9O7YiL2F37hF/Bd3/Vd+IEf+AH8h//wH/BTP/VTuFwu+HW/7tfhsz/7s/HBD34Qf/yP//HDOj760Y/ia7/2a/Gd3/md+PCHP4zT6YRP//RPxxd/8Rfjy77sy/DkyZPD8j//8z+Pr/7qr8Z3f/d34yMf+QhefvllfMZnfAY++MEP4ku/9EvHjoZ3QyIhXTIx2ABrAdSJWYGxi+wsQcm0wNiQum4f2SRaYrC8xTsomnBJIrdNz/rKF7koCd3a4MjGpx3/w8/8bs4t7vhVgjk4kEL1aTe3diq7j3wqzdg8PWt5z68J9Jng8fzQViorsD/ZcL1uuF427CrYL1uE8VEg/VjitvtHII/NeODLzH2nS/9tuxxFxSfQIXBHf3KShQwgHfn3k11QnsYsGxm9XQia87ABoGM6jCa8TaIvm4jaz33H2WXgfeyglaDgslJ1lG3Fzr7u3NoRi5b4iIq9l4XKfKSrGQ129Cq1bfNf+Zhfq7u1Kb29BqXtdm24UYdPK62RVnRlB30oNzJate+c3hT7Q3vnK5GNRk4ajqw2fDTjtE8Km9EqcCcmFmh5nYd58pccRz112E4KfehBaQsMucGuY1V2nhwZ3SO6k/Fc0Z1qxS7jyN7tseMCAzcCO05jjFEZfyC+8LIJ90Ee9Dz7Qxvv/Umjtf1sR77qqK6TtE/uMc1cE5KTHA6THSZzfGKiT4ARrvLuuHBMT4chrGiWLjs2jGNfedd6LysWDOhBFZt4syxQhVxsPBuVSt/Jb8cpiWiYBM4O8HAwSNn0VY4jSNjf2Up+Oz4YGLyTVtEOIOl3Z6St3zFsk+dOmybXFK4g5LI+XirfW8rBCl/r03WZ7Txkebif++9zh6vLnk3HCvXK0AYwORoqgJ575uyY9YULoQ4T0zbu5MiUOxO87zTGKrj23cXBKe/yyXSX9XnvCzUC3wmgezxGzvqQA8lhV2e+MzZEewadh92XdF+y4yXp+xwstja2ywyT6eHLy9S8jnoYd3kBUtud3Hf1XnqxJKc8QGf1KH3aY3bMSd6FMSYc5DG1Hfw+7ka3Be3pRo+SbOTV7L4L/9QyJfJx/DibddtG+ji2kzw0HCVtO9cn7Zn1eK/TJzErO92eFzLXKjF7N9iXXJ/0SeOrYOvXP8hVxwKgYjLUJ2J49a/tIE10BcAXZDB8OTBT6etmz4Fs9ghD+ZvlSrrL3gMcpB/LieosJ7n/bmNgyASjZVpEMAXnbTFHx9vh5Cs3+27yz97Fqcltcf1n/tI2RcI6J/POKS3ox3nICCWNgxARMf1K8Tu3n1bNu4/BvqMMGQBU9D7ank5Zsn50HExHpi1oKvA6qyHST8EOvTYbRBU4vdUAvj7bcDmf8dpbT/Arz17Cm6cHXPYTNlG8en0KAHjj+oBn+xm/9NbL+Oizp20H7eMZl8vJF/OK/bmOHrh1/8GOmTOdanEDgxVEE7kvuX8gORHwB9e//tLgWMiOsIjUZc8Yr5yf7XYeBx+PvECR87NdwZNKIPjtPdU/LabkvgJhwW5u20+LMn2LGRe+GH2T4bsl26K0RVn2ZlxZezzxQPrE9RLGQqichi05JmHtZJORiTJvAPqJPl1swPzEvNOqnJCz3ypDn4PG2HwMwsG0INV8HbTTPLYdiPTLQCR+JbgmvxBj/Cp1lPki2ABAuCbGrwohOlIru2njaaV+Mt0DY2LRDZ8BoADxSpveR8Od8z3FPnz3EdlDbnsnXgh2P4geWACTL+hA9z5U0tT7Yv3l30oTYZSn9UHDxLACYdHy6Mj4Gmyuvvg3vLOUAWX+hWLigQrOBIb7l/a+L1h0sdLrUQFwGuNmE17CtJx0nrdLY+OyuUqZrjaJdRu/k8zI/nywQ1f8bN1WDF3K8kRSeachCfBx/8q+9PiAy0ZejJuSxxgk2Za0acAXyPJiV8aBopSZyONhXWLYqQ8sL6bJS6V+GB3Q4haehLR2eFew00geGxrDPF7LCUEdJyXyxgTWoT5xSmVCNSY/Cx09Yk5zGfbRw6dgosFpF7CNgQuBxbglHEzjmAR/ddpjps0R56I6cl6Cc9Ih/B63n4X5HR0L+y1O7cNPdJlpqApVsw/sPjaAaVK0oH1uL8dZpt3BVdsZlAPaze0d10O2/h35PxHpXTER+6mf+qm4XC7++6WXXsLDwwN+5md+Bj/zMz+Df/7P/zm+6Iu+CN/xHd+BV155ZSr/Uz/1U/iDf/AP4id/8icBAK+88greeust/MiP/Ah+5Ed+BN/2bd+GH/iBH8Cv/bW/tmz/3//7f48v/MIvxC/8wi8AAN7//vfjox/9KH7oh34IP/RDP4Tv+I7vwHd913fdnMz9hCUWKIWgCE5uZVRu0u2JebfeXckNw5l7wkRc0XbJACz8VtYula8md28FYsogN7Uvqj5p1kDoAWhTekoK2iY+N2C7CPatTVDo44br6YRnQDs6Stu9sm3l8jAK0Set5IoW+N+HYHTHoH+y4dv6X+NnmtRivGzDCGxjMldQKmF6LmmM2BAMxl8oPN5Hp/cOqbtSEPY9GYoZ5lE4ASYjT4WzbPBOnwvQy2OMVzAwLN2AOFREpYakOgIfGDwYfGVjrwgOZ6gjw8rHWWX8FXCrjLux/P2OFgxg2l90xZ0V6oQbdzrac0fzOp65rEv1VUFoC8pMYFRGIKwNuleKDHIP8OTKlIZlJefoXQiepfZzsEjSs5A/0yn9uWPH73u5QH/aHrr8WdEuA5dppOr/yoDS/EcnAjhexg5pWCAxt3dgEFYBt6l9jDzhXZa9nK+/D1USXl3eWts+0dze9Y11bYd1OunB4eJJeAbNFhkxiEyfN2ROlfLkoXdkytjzLBY9ZHBdh/DkYMK7cL0VngsYwvvEO2VwkYKqKhFvoV4bI9rZye+qHbcHJksE7FZGSUOn9EwT3EXZ5bMjPp7gpGJElstJE1DmhTzkLM4PQG1/HuGIxyKMW02EY+zsHA7qRwEr51+1XdljmuiUVZlPTasGvXzkNDrPVO0hll3ZfgPukdl5Y5F3NaF1dzqgsazTVvYbwznx6duF60U6TGw/rCZmbtErAIQDYP0CQKx1bAkMPm7jzEGXI7/j7lX5dyT3JU1HouuMfu/5dgHksfmLz56d8eqzp3g4XbGr4Cw7Ll0ovnl5wLP91O6FfTzj8XrC4+MJ+/XUfEqbfLVdt1mvJsYyW4/5KixU3tJkdELXFPjEbIflpLKwzW7p9edIIaCYYaaFhC73hOi9kv8Jj1WQlAOfOaBZxSVWfnvZdujAQvce8ZPbUTPTRr0E111lIHhV/7IDCU7RMIHH8AGk+4nkmgSZ6TbcJZrhcaUlkSbZ5pYuC0SH2r+hg61tAMuJnayHJx5hOjN4BAiny6QxDSCtcG86NMOR2zdfSTAd9en507ixT6gZl4kHVuibJiYP6FWAsftTaRH4gh8aT/QNJkg0t5BBz5UyLs0ermzPMJORPi0ZkB0pVb8aP7KdJh575DGS/s4XeBz1g/CR7Uj2U+2322U0yTbFpjo8TuuV7Nl7BtM3grHQmuAK1U4AJlgNvkBH/Ydd67bHRRxHcmvi+0qu3qOLsr2c7XLTDyB+WcjYYA/TZz6efWmf5fEgmjGcl3F5o8etfs59u8VLoT3UsDJ8lc80jYXRkRoN0eYy4PY4rfC10skLOXLYlztgMF5e0sBzpNL/mzKxsAbJp/blLrnI9svzwlfi0NoWrDbb3UyVLmG75o4q8wmo73R6O9NwH/d0uVzw+37f78M3fdM34b//9/+ON954A6+++io+/OEP40u/9EsBAN/7vd+Lv/SX/lJZ9o/+0T+Kn/zJn8Rv+A2/Af/yX/5LvPbaa3j99dfx7d/+7fjABz6A//gf/yP+7J/9s2Xbv/zLv4w/8kf+CH7hF34Bv+N3/A78u3/37/DRj34Ur732Gr7hG74BDw8P+P7v/358+Zd/+a8mCp4riSKsuJW9rVjJ93uOAhKU7G67uk4y7olNSe0dC3cidt3GbsRxJIG2VflsqDjM2v6ugFw6Q1o/rtp2GSAZrr3OrBzbXYrqdawcbL7XS88SdzsUcG2XBofj81H97/TY4N4u7fnpLcXprXbv4OlNwen1DdtrJ+wffcDjrzzF5fUz9scN++MJeNyARwHe2iBvnLC9uWF7Jji9KTi/3j7bPbEgnGDsAurG0OarnzGUJ/2p9LG1nUR9JdV+pnEWKuN4ovZsBZYp4Utbze07RxHH28dahgG3nwXXB2ntmkHf6WlnOKh9rme8wNjVZKs5T63e/TRozybo9gej66G4+cgutfoktukGntHiY6Nj2/nY6LLBfn0gOiJDIOwwxKDvyXinv/0MXJ8A6veMktVsiSemeEVyoUV94tLHmO6/3LuBrKlAMYuuQrs+z+q7X8cEqfadsDu075DDBuxPd+wv7dif7tAHjbJhYSA7CJv6sU1+p+SGfgehOi1cXwKuT2ncz23c+Wgtx2/nBQ68u9wsVuCFJL1ug8l2U270WYgdX1xxEWyPbacCO5ZmpHoAzHj6IvE4HW9Hu8xW6LnRpD7A72Y0OJ3+n9gOXsKRtHa2R3Fj1lczbuj1DidxyIOxIrPSAz5+J+1jpOO9YgQdNe5cF/NKyDEVwFeADhkkkbdEsT/pf2fG4fjLcg3WX95t6MCTzOv8EnCTdJHLVHJQbULS/no1cQdBp10em73/vj4FLq/0v5fb7+uTzn8PwPWJ4PpUsD9p95Lbn42/bn3cHxKOicYljddOtMGBF75T1gzaIJutXgXksdMT6S133O3PcSzYnrX89un1GI1cKT/v7MmygmEj+Ew3Ou5l0IP37aSBVrk+pv2Ndow3fu52Tc+3PUPT/UkvBtpPsqWSO36svuHdaPRg1bHZb67feGytn9v47XxisJm8XThhKqPfrbMYq7G3VBfzAkaZsOMjJ6I37ivT13aJupRxO036Z3owFdrtRJ6EbPYg/bF+FoFFe+1dDkps3R7bu20THN3QLsusoYPaAkjFdmlttHLqbYa6iLZD8Hxv5Z2uZdSxu31Fx1BNRx2395Z34KWgWR3l2UcI14PwnweZJSwUsbyNPgm+JEfLyQCRUR+XAYbt/nGcRPu/PTU8F/iicXT5kPJNE32ciGaHzV2fxBTaTOWjbSH+d6tPEyxVW5VO57YxaDss1mC7lWwGIb0XgvY7mh/ZfUq5KLZnGH9vCU5vNF/w2WtP8AsffR/+z6vvw/95/X34+dffj5999df0v0/Cz330A/h/X38Zr73xFK+//hSPrz/B9Y3mU8rj5ram6ypa1Bv8nw6/+UDsNwX79jR4N8tW9vG8vmQrBF+LbOUwubJKSYaH4cu74yW/j/DYGAY7J+hVGf1m2Lpek138nvps/zpNky5nvWMxitAvi4sskqgOv9vKdD3lwfzUv6m+bnxm32al783vmqK62xiIabEM8ykp+WHr9nJn8ue679J8Qjr1gfwpg6eNlQ67w9pl+ZRPcrLn595Or8Ptn/NoZ5pMB417lm0uBzHpx0CnVC7wmtO/BLvN7D07oWfy6SsZBfrNPGx1UBXacbSfNPC3x/0e6O8J7dI9jeeW3/zrHOuzxtxOZ7tfZlw2W18CfbtesE+LU1AsKp/44uPA8YxqzDotTnIny32kccWAyV+qwO9p8RhI7Fs56QDqG7pMyTAHuqYmiF6j3EKgKbedE5+E0A7HC0E0QnYbx1OyT2LHFIexK3DJ4zV8p/7X3w/bAkO+Jn3FdMG4CXZif27+wtavd3N/LPV1pXeYXzg+urRXsjxElB/W943jqayLc+yJ8G9+1oiBKXhsY6wi0XSmE9OBG8XBTgOPPv5kz7j+8Xghwct+K9Mp4UGZ5+z5IlZd0Wsek/D7hBCLc7oEAgzTeNEY1XZF/Bv9mPO1l/RX1cHzMjRO5o/eXNBTtBvqKeThLANlwt+yrUKPej9zCidK6Pi9sC+8HoYzp4P2guxenI4U6JBpKZ3SCiRZuYL3HUrb7Sy/+ulf/at/hR/+4R/GX/7Lfxm/7bf9Nn/+aZ/2afjmb/5mn4D9J//kn+Cnf/qnQ9lv+ZZvwY/+6I8CAL7zO78Tn//5nw8A2LYNf+pP/Sn8w3/4DwEA3/M934Mf+IEfmNr+mq/5Gvzcz/0cXn75ZXzP93wPPvuzPxsA8OTJE/zVv/pX8ZVf+ZUAgH/0j/4R/tt/+28f555/DCkTZWEUTsmFn2B17NJdbfGrG9WE94t6Dp0zIAYOmHFzuQqWqqx9LwwJFrRReeqkTN1YNKV7QTu68yLAtd/h01dqYe9Ba9sJu6eyLLwR4Zj+lngqur8QPMF45HJs6BzVX7w/Cppkx6lSdlm5H/5O/Sr7uTDQJyPCBb6GMtyf5UrxrOCDgr4RJDTjKdPlAID6pqXBEso8p3JZ8l22TJYVFL/d0GMPROv8qzonywFh7LIjknG4nARAlCWHxjkHbIoJkRXoTh7MX2G2JBdQzxKy9T5MTh4bukTLHGzKzmgZYS8M4LJzKnMVgV7XNNJgl+NnCxm3JBWhl/fS/aqvi7SSmdP7BNayDpI3PMnLgbVpgp/7Fugx1sH13JVWcrCQqa0jKG0NAXwXjtM79X0E7mTkX+jYKiAygX1DFFmeLHLuKdO+GLwIfc7yu3KGuG0O2N01QcBtHwL6MbxfvVvpE8RnIXCzyOdVJnwe8hzzRfos33N9d8B+BCM7dznAOipNz1e2JI93JQc4f3V0awnjTCy5/lJFP6cN0IAs2gEQdvBOwNS/J/tvVifT7+XYLRdYLvK/SHeninaey5e7UffEO2WFR5Xckf+o/IGvdNfpSRUcC9mwajsG+Qr/8SLAo+Dy2Ha6vvV4xrPLCW9eznizH0P8eD3hcjlhv27Nn3QfUsZuWJdnSVhXsuHAbomyVYLsrYKj96bswy1xdgPWDO8yVXok2UzYUr9I/4/A+vqIyxJmh1HLd8+1YERu02nd9uJH5QsD0xgHvarjZJx6YiIaOpMtOeWHj4X7JnacbKH3V/ZIlcrnB/TLZbI9f6/t2AofvDO6S3b9Td65h1/uTXlsKM2TezNOlmMaZE58PtFaTpryHvl8mTw4b+FfrtLs5xawHoC9jK3lAtmW6s8k9bVssOKbNA45NrGk76PvwvXKzPsHNFryRvlM5vyVH1nQwlSm0vtHfyuYmVa5g/fwY1GsascnkxcTkOuY20Lm3ZAXk/96kHcKq1W+RPJdl5N2R+k5ZVbV5/w7xE+2rhvvkaW4YX8WNFOFyzz/Ud0LPzDAeORTLdqo6q/8Vvbb1jAOfXDoe+Vy96QD+nressu6KjvmqB8fq/78BKV3xdHEn/u5n3v4/ku/9Et9QvVHfuRH8Jt/82/2d9/yLd/idfz+3//7p7Jf/MVfjL/1t/4WPvzhD+Nbv/Vb8Xmf93nh/bd+67d6vt/6W3/rVP7LvuzL8Hf+zt/Bq6++im/7tm/zidl3OokOpRyep5V7ugH7hr7Cs7gTshs19twN776iM/gCE7OMQgoAGyu6UUZ7XjsKWXZAMY6JgZACszKSmlN7Lj3/6OS0xZ2FDHXAjBebWJ2Sw8DWn2C7KLTfiXh94IlUxf6WYD+j72pteN77yk+99jvhnsV7B7eL9J2m4ncJTqAYam2V10JJZwW8pRVhVpcXZYFtD7eenXZxGL7Cuf+MI6V8+VhN9Db2dvdbq4t3aVB/tK0ebztmEz2boWi/bcUeCV/etboyEtvqqfFyg+DacXR6q+NYumGbyvKn3W3rNLirjx/v6gnl+Rk79dYHuoslBAWML/uqVoDG3zpq46Zdv7Lx253o/YR2nCtP5NI4mBwJcBH8dr+pr1S2lahuGGnZb78rqK/YvfajRLy+JG+gApURrArOiwD7WdtR4BBcNwAvNzhs95Txs/Wvqsd2u+8nxf4g/qz1rzsknQZtN6Ke2i7FgBtJ+CzQ5yi2cWGjr9O40+2u2B5jRew8iJrsSncI2h21fZWt5UHI07/bcxYEviMq3usYAwitze0Z0wEBaMEaINKnms4BdBfISUPeQQCEKLuvqssg50njv136HcHU/JlkFwjHMvDrz/qdpb4oxuiXkO67rey4I+6qySbjO6O1vggn7Bi0QN+uLoDtrlvYiQUpMW9K1guFrj/k50SIbi/YO/quaWxUMN017TLbVibbaQ2mqzd02RjQGXUR8cs0sU/jptvoS5YDU4CKdQrnBeHL3yWaM30HTHJj7HaSSQeS+PU2+C52g5/x5Tg3cVnhJfdTMHad9nw5MOyBNO07dO29prxpscpOO+q9ntMoO3BSKVW4rpTcj1HlSPRApa6yLXhpL2zzgetBu9/c9CCNA5+UYbpwwC5j5yvDbHexMk6S8zraT5O1fFZ7LyMZ12hth4kLo6Edk70ku0CxuA/V85ie6ji2Xcsyxm3wm5IcEPBqYjs6tvHugCPYZv1z4DcCNt2l2fvVuq1BZjNBGHyHwT7m694XO+nHfZJdoy3FtPsiLZPvrss77zBshpaxD5sMOp98hszoTqdWJ4Y8I3JxOXcjZZ/Fm7GTlKpgU+HTTffM0vdMx34P7ZZOTwo6Tae6urnT8CujgF1fM+BXbM+a/6mvN9voghMuG3B9OGHfJfjb1z75qirALtA+cWsnTMDsXzu9hO9nZVz2HYQb2aFi45B8Eh/mDVBTWEFPSe07jy667PBcG8Z9tIVNkH1VCGi3fsP5dJRcl9/W5GQL2TOW8QKfvPCdkmxXEdzU2jxZLTTMrG+46S67wl1oyVZr5WSCOcBP77P85L8h36keI287mcH0eWcus7WbvVfxDprtDrsn2ibndcDJ9vOugW+C/SCAX1/TT9+xz1aWlWUrx/7ijBvm6wi3xQWkG6gigDy02Ihe+3hsiQyZPhmOO1Kwra2vm+3gkrHDlE5YmtrouIo7TkeHgp1FcLLPpSh8MasbmOw7ls/OQ2lBbxhDTff3KpEZ870g7HIWRbtKyHBFVfIgsEkSYC9kh6LL1h3j+iJrTFh/EJ0kXu7m3XKcmzwVugZLCSeG0w7MLkzqoz9AYRvGIRC24dKphrajEX0XIOOgyf4kF0dnHdGDjGSMbWqDff7AZ6zL7Tf5GFOHQ8WGE3WzWRTjGGqr7zryA4gyhccr4Zn7yTDqRmKH8NWuQSf5xIIT9DXZppkX7M51pZiDb6Sx03ySLLGYksW/A74Nh8xrjJJTwhPjX+hTou4KfAbizcRL3k6WfwwH+bFBt1tZf17Q2Eq/MbAJ55zXZJP30fC7C07dpg1+ZcJDaC+BEfRmpnvCVwVXJTcm/Fm/eF7G6mb/e1VHkilTPxTDHqvol/lgAtYk5PxyRQdTWUm4n+qpXxzZkB6Dq3QZEPrHIR3F4EN7R+ZOaoS+Ti8/8eldMRF7K7300kv+/Xodmur111/Hv/23/xYA8EVf9EVlWRHBH/pDfwj/4B/8A/yLf/Evwrv/+l//Kz7ykY8cln//+9+Pz/mcz8H3fu/34l/8i3/xMU/E/q//9b/wv//3/36uMj/xEz9xd96ZwGUIsZ5WjBOEtgUoWVHw51QYQRC4ECvK6DYbHAOG4XT5XQi5HZhRRUZWd3h8Je/CkTYlwcZRWHlKhkY8Flexn6NBrNL6sUlTwJtIO3pHhqXVJoskMP507APjpsCZT47eUm4HRmVsJJbL8WmQkqje3ZW04cyPI7EmCXeZDkebqVEZ7z3wTYb+MMQXoCTc7VDgLB7IRIYlGwsg40M6jVYadOp/VPA5iDMFJMnYcIdDECeLGD5Bc27diR1MN/qiUxve18payX1fGNc2ASsqQ5Ez01P7jn+704phs+AQEAx8N3B14AnovAu045x3jCvIWNmaIRasGzhvy5ZwwOVsTOjoMj++LOXPk2A3U87DcGSBzHhkWsLIy2M6BYu4PwZm0gF+J0hlaAqcdoJMtAn5ol/Cbdtzc1aYXwp5EBxuu2OGHAP1+pIMPnU6hLhjlGnG6ElFB50YHCv6d56FT4axsxPkhnWc9RHac3ufAyPMAgGV2/wsO/+el+WFI2nRr0V9YyJPx9FhhfybUqcJ58dCBARHz6rNfETyyGk8BK8LGBIdhyBaqpt5Q1MdNtG0wqOoeuCW63UbxekVHmgyHOwCTAEPGfhxGgS1Tzh1OrC2K54BAq9PnWT+of75s1Osy+VKzpj60JrT+MDrINnbYed+B1hzYpwZXfhEtIR8Y0Imw5VwINImaLIsDHjSGqeMgiCnNL4rkhIKg9NItmekh/YjqAKJ9XCfpB9nHCaMGK5KtyPha3VXUMFLBvPRrq4coCmTKuZdwUU55l0d423w1QDcavy9k361/MQqEL4U8ZLpbi57U9fcAQ+3Z+1MwTUwz2elqdMkbM7zdnYXHvUt+wBBTAealUC3pivkAmxbW1i2XwSKDfvDKQiM/SJtAbDV4TthaUdsPsKTeenOLi/lWJe7JuuDX5bLFL+n5gvzItTncpLaybL/nkRy0z9Nj5PNU9lUJm984jgvnr0nHQnBSk8f5alkMxAn/p6nLSPQ7Nhnm01psLQe8tJ2rmAK9lqPj3Debn9aXrUFCZnNb9Q9wdHHWmzHZ++PTxyQnWly7SiofFei+n1x77TztCHUVXDqwyEM6fk9sJq9WfmLCgQayPaX+e+Tn5ZspGHz94n7on1+7y8A+EQ/66IFX4ZQQ2UPTEGl/tsFs7UZu1Ole1g19G9VWX6Wxzu9W/mEYRFe/z35SYONOmzJuOIxruDh7wsbkuXCXTKRZ7PyWAFOQE6TBX1Z2ckep6Gdhj1PGPP3TG8FWAOAwQurlH3Q6qoPe8/os/rLxLSsUsuFAqSSX8v6iz5gLWdXE6VVHZl5JjexgmklB02H9zwiGAtpJBa7ZbMGWXVHOsRJen+v3ihhMD17NFZpLEPekpAVRyefDvwKcODXjQbvqOue9Db06926vyh3yDPPQQu/muk9MRH7b/7Nv/Hvv/t3/27//l/+y3/Bvjdp+5mf+ZnL8vbu537u5/CLv/iL+ORP/mQAwI/92I9NeVblv/d7vxc//uM//rbg5/RN3/RNH/uu2pVytNfG6NJ2wUoKEsp1ZGalzLZ5XqHF5+cPhymCU63mey4GFTSnqytXD3gK3Dk7XknRIXEDeJQNq177rgTxwFWs0/KPY2lbd06P8FXPDR9jFfLpEdj31mF56Ds8+wRsvkvGVjBD22o3oTxZifgxFwIPGuedPrbaCntbJReChga/oO2A493ABJPjn1dE2js2evIRytROwx0rJ/HVbe6cUJ1WzO6NtSD0dM+IjPtUeNVemGAlQz0fA+R3yvQ/tqmuT1q7p7eigmxjMiy1MLmAQTN6pveFIcF5B07GmF2fIDhn1l+bYAp3n5rhvVvlLUyCfT5CS9MKZ7Ey3I7jzawAeu4F+6eXG7vY0XEL2215FYi2nU161h4oMh7og79V669685bXHm2ODueB/UEH/9pE0BU+cYo+bjw5cj0brILdaEyajLt2meE7k4m+nB515De4An50fLXVik7HzP95Z51NUkrnX8MDGfNWsfNPpjNFv/cyPe/v8o57D0L03RQV3Xq+9NtkFyBxEpnlAzB2TFufrVxlDHect7t0O0+Fu5AxViTbPS52rJ+1RThlGZZ3tPqdt6A6raw5grbMOywYQIDH7VYDUwe/8okCTjckA4WDYIbnFPzYAehYezZg8EL9kfGE6WoKNoW8giDXNC1GCCuUqa0gC6893zXyTwBxJ36twOeFR5re8RiYjtk5Q+Qjp2PLkuE3Oij4iU8hCGOlYzxaoEOGXgHJfLdFWr4genu9xltqMsRgpCBwtouCM8+71hK+/FFGtNESrwo1HjDHNe0CCnzYv/upGnT8Ey8GuhkklAibdJtEMGS6ywXSy16Wd26I8Q2C3RICcwXBjYBNhNv7zjAKLyaSUK4KXt4VnLddqdu4R83pvMPi9me5Y2LQ2BSUMruExmuS49L71WXrNBnNuoXuvHfbLk9O2+JJXpTCaaPhT3a7TaA124c7Q23LwIfDv0h6kg6rDnwuFna+V9PHxU+skvLCPQxeYjloqYu/aRFFl6WVLRLbirIiyxoOhJotlNtxUGwSlvVH1lsYsiLLhnlXpR7SmMHG9NmqjQuA/QSlzm9mI7fnrRP7SRrbbC2vXgVb9xu2M3A6bdgfFNf93OTiqXfssg1bv9vS27O+I/atxtfuN5q+MJkK0jt24gnbatTPLENH/KA/6LuuvN8uWxP+c/2rsfHfURbYJ7c9TSKFCvtn9gmT/jG96JOvG+J9eY4nAlnNBqC6zN/oz9n+YztYt7h8fNr1mmTX6DfZG8yPqS++2/I84OP5/mzzubx2Bda+q8JlAeuFuPjhAPdWL+v9U+pXVZTte9FxzympYJ98z7qxSivZ1Sd49dROLZOuwzbpizY7n/KCbK5mGttOO1Nblrm3yacq8W+2W70Kl0+gQQA9rO0NBcE1FC/yogWfQOr2XJiA5X5JLJPtPa9nFzplacDItoNi2BsT6WTiCsAm2U0L7yvZIrYbNt276nKmL9p1m4/roJMblqKFZBB8MjfqLe/G1vkJMmzuqe9wnep6lGAONGSnJxk8JONNBhk9Oz4U7mcfsuCGWT5yx003F3kC/W7xHfennIQUtBgR+zYy8Bto1/lOJjoPeNX0WaUjPb/PnZ3iEyw7c70kAy1W6zKUBYn2WIyMO3eFcDn8nHiSTil8F7oyyGOWExjfQ9qKvEH4jUKuVym2OuGgAjnjLjiG/aNqk/VKL+Z2quGKvyPlBUKM35+ByijV64UTTKDfdLpjhiv7m7yFzHmcT5ECieXcPulu4ec39CrLdkHqW7F4OMoeCX1cJY4JNR9RwDzI/uMa0FXds8Iw28ZPmBKS51W9UuDUXod5mOgPvNPpXT8R+0u/9Ev4u3/37wIAPudzPge//bf/dn/3sz/7s/79N/2m37Ssg9/97M/+rE/EPm/5X/mVX8Grr76K97///c/Zi49/isK6fUwTZPYsO81Z8KVnCvgxw+HYKkXJRCzU2tG/Gpz7ICiTgDUYvU+CQlHL2CGSBVJWSojvfCWsPVoFbCqccDkFcFWc9lbnfm5wblfFjnFkpknAtpOONQkZFnzpukS0hp26PJFj8BRCyHfQXABcKC+GsGfl4/2p+m+OnU1qWRCVyy1kbGUzuHBN7zJcZvzB6QgdTzp2J5pTwwKZ+ul0zn0QHRO7heFi9W4XQK/0jvBe2kIdTjtCazyfkTMm0FteXyF7ahOLwcjtbQfHrQ+cbj2IpnY0SnvOO6uDwQRQoEbGMVTUh97ccfI6u+IFoOaYED79OFc7AlapY3mHvZIhZFVkp9scsWtnK3IARSxQLC3ARTSzXZqQcblEQRcPJHPf0AMbZAhol0OM13I3qNVh/EH99PGyZ7FJnzDxXbck3yaS6/gOE3ccvJSBU25s2uVocGkvb3xCfQmOR5bV5gwCYUX55HgYzsxQpaOpGAceDCN6MIIwtKpNwG5dpl7F5VKGTwE+MT/iwnaMFGM5jlSUGMxl+iaSRiweJ9sSjZWBLEaCTWIQ75arvVOfGF/KepWN7dx+py0/kiu9c9kjdI0BBXLDzmgObjDdsjxj3ljJ1Eq/JHoK/KhoR3UhpWRzZHsnTMIHBCW2NlnisjMRbdARig0t0B7otvOWxemtbzsAPWPYR2kMmlxP/F/xdqlre/tZHnX+ctpiuc086wyHuAjFTgSgvowGi+eGQ/GvM6x9wjhP5lSyzBdfWH+yDbPAxzRuvYwFyuOYm16zIiaURmFF0rUpkBHatrodhpTJgsBE5y4LqcoxIdR+b7SgxR1JkwV5gVDvj7ecaW2Psn9p2zm+NdhtIYs0G81sNrPbXeceJYdVel9o3AIxY8gnoC9AU4ftRbqRePx6umkD2hh0XlCBB9lj3XfC4PZFP46by2ZeYvlUVaVAXjBwFwjPQysr3W2JZKX1iHWl7MCGcVx3mxvSZqNu7XoafQSwSzuddQP0oSsPvwdWPIBti8m2i0RfNukH9sl5Ie9hV4RkgOlA1lNAPR7VO9YrtxLr7KJM1hFWv8cc2AZKdXp2noQlOyv400TWLnfpgftvpmNJX5Z9TjZFht/aCX3n9wvcmW87guI69HeVDt5p6PA9g0WFqsUMGS9B90ryG9kwtI5xn2SGa+V/pd+uugXNfzg12bWduviy9rpOBzUT9GX/9B3wqfkJHOkxAZqAjYsEFrKHHhvPVTE+RVSJs+3afmReaFXqiCdQP0u/1sYoTwL7uLTvYSIi08+qq3fJ1L44bjXxzTyXFtyqjSvzprXpV/fcQevMG8zTMqMr2K0H9U0iwR6kSU2XMUCYlM36Oshss01vdC0swryhY70MyxCSucHOTwtZuD/2LPTZvk6zWVafuBxZxistbxjrQpZVMtmygq9MGnAG2Wivi7EP5ZRgIfnX4sft94ahW9nP9xO0gFnkFbok+HFUxsoHks16nOqa+pSeTbKEfk9+9gJn6VGZgvzV+bnzD+lfFelH0CcYYXiYry1ctTv7lfagKZRsX8VK6s75pGTeDKaEroq2rX9UT6mip9NhZvoJfaLfakTHdFH4qUc7YcukOtPsrSI8CTvpc5nkz71yq0rvRl/xXT0Ru+87/tyf+3P4n//zf+Kll17CN3zDN4T3H/3oR/37K6+8sqyH33GZt1v+HZ+IJabkSSxm7EanWhOrEfFKoVA+nyCQxCwYzB0+9yiwJv3qeTUEZY8mCEVzncVqBmsnGzvdgM67a1oRur8l17UPYHwHTH+nHfmyK+Qi2Pqqy40UkSqwBy2MYEzxSmZRtLsFEp7y5IUrIRPIht8rmpLXoeDRV3zqJkNmmXDfSDkjGW9mLKUdOezYe/s0sWifkzNv+KAd1pWQNloOSn4DIOI7vgiFsyGYjUsMI8vvOep9CwFI29Vk93VeB9756JdbRsS0W4o9p5AR/c7aZGBs4x1Eh+F2gq9O9Uk1Tua89rEPx3oq9YEdKIOrr4aW63jnzqLh03bmCiDUlsi4089WzEMw7r/cE6yFzHFjkQwsdmTcQaQV5pLqM9rbTx1k6XGnbWhqPY8jorZ+T3a+AywEZYjGlCchkAycbKAq9Z/oUfLCiT0OQ/hiKPYdyDLaTfLNDPegA5inM4wmI9PYhIU6rjtIVuVxZOCV2iL5l/O745FesxEsVxmTrQyz3YHr0bHRzjRBMRmqMw6m3+QBGP2rSH1PKnWLHcRszE/wAyQ4CRfZuMypWhHeP21lLU/gtBcIQddgwBfteR+mXfQEq9AzhcvUKUjK9MCyyPsw5CPTdNOnI7+kvvpvG6PIHkFWc77KKWbHMByHbnkyj8uQ6w0HWXkNHRqcSYHHEq1d34FBfQu6kuRPgJXbo3bCSwHBm15VPJrGxu+b4mC1wBdCGC5DgCLfL810ai94BT633fvb5J39ydAV3X4VKjfFbJwuCR2Gb9/p2fWnjVu4rz7R/MS/XTeyDVrgvgycBL4oDAipRdYymc5VaiPBHuSQKrar1G1b+6Q/XB/vw5GeTvPgoKS10+sadpOEcZ6OT/YTZxI81h7zrMFptrrx/j7neZHefiqD1h9LynZDaMwWO3XaXOg+tmtupeWEFqLsPnzO/IABEy9waMHmub48GQtp8sZs9o3pfR+7Y7YToM/QIjFbD9a1itoCRLrOw+6B5YW8q4CXAGMBo+G3yMenRpTHKRIegv1jOsteZ9opebuAoZCfk11VDR/bO90G4rw5sDf0S/vtJyylurNP5na4AFCFngW4jqspA7wlnugaA8T3ZWAVQ+YaHZX6NC1Izng0WyJM/mU7gVeJzUAMHznzBadqPF1+J+bVxvPj9AlgoksB7Phi3bSd4sWB3aDfjADNIJZJjrl/2BfOX580nrO7HDcI1O7OZr2jpA+rMXAbA+5bYut+ve2ItR3LtBCc8VnicXouE44VGCeKIKr3cYUAHP+BTkAFOA/7GRlWjGc8QQjt+76oM05vEuHJHQ4TtxZno3fup17U8wZSKuja/FjZyebIPNnrChNhiT0mX86DXuN5WHibkvc0janyy676fI418cDga7tOp9tNqSGXIVYmLbYpeTa1Udmr6wk2ki0W/5mcDQag+M0wqKF2BWhKhc07vdc0sVrxb66D6CAsaFSEUwMEOuVfwpLw5yRki0qv5N5LKpf8QHvO4i7TtuR6uL4Er8W22Aeu4sHBFjI9wPJMBh2Ek1YKWJyOAeT7mrk/xidyTe2zXOf2BXGxcNdtYSEZF9cChw7krLZavm7ZZRuI3rfyGt+7rNUJPyvbLcifLIfvSNGWUn82fDrCH8NFE88BBzQZu7TFNdYfbCCK60wT46mOPB5NRvcLMrLelFjUnkmG555TNd7h9K6eiP1rf+2v4bu/+7sBAN/4jd+I3/N7fs87DNHHnv7KX/kr+JN/8k8+V5mf+ImfwB/7Y3/Mf7cjUztzdGLcbQfHZQj8immCztQiT2cGJ3haBToxiR1xTIIjC6opDwZjWmDMGGzLgknRmLbYKRcmY4XyKtrRZXxPKznHrkTsne2sov6NYFDHLx3nakeiGnOfHtF2UqI7LipNCZwJl1tCXO//1u8KEnPMMfDONo7BbGPmsQvrg00eSncwtU042bFZKuJHUaoAOMuopzoeTzteUnLhTEqajfx2FM/YEe0TXts4PnPrxzv7xAkJSgvEer2nPlfIirePtx8veSJHI+HZFK4SnrZrc/CuTxqM0o+PtmOEtkfgbGNhu8LTkYjMQ43PaFGBH3vZy8KsL4OxOWj7GeOo294fFUAf+ng8Sj8GVMeEhh8RhvA5jRGGEeO725QUoBpvmi62e5W1G9i9Z2Rs+wRMX6GvW7wLufV91O8r+X0gxMcAKu3o4m4IYDfe7OV9F6c6/A0HQneOkgFmQZa+I8fIYH8SZdf2CODSJvbtSOks78yJ9kmH4Eh3+DjoY0ar0SDxrTFsDuz5fabZCKQ8dgeuLyIoDBC3kzoulY6qwwm+40yAIUP3IVuy3NZk/IuOclNgzPiWjS8MnAWc2NFjNgkVDFi48yw7HblmbTDsgiDXjf8BAJe2S9bHD5hPgrAdyDyWkxOpQ65sFNgxEiYdZTAbHZZO+c53UUvEFRD6UiWX/QlvuiUaBsZx0bzYhWknyW12OFV6fdJ10nUOagGjbu3HyeuDhmCuw2P0wfI7yHq6e85weY1theAJwRnaMNhtAYvJKRtjwnl23oxGAr4pj3RY8sSS0KR/o131CiXDDoSAJtDlEMkcT0J5aUxDMIHJ33UsBt9xUyY6iFd9TLKzrQOu/UED3/hudBq/EcQetlJw5Ak/vsiJeamvnt9PaLbJBU0PdXnrR3vu4zjy4MRZ/b3vm8lKQ18Ys26T2ESh04VO4x8RaLhZrPDlPIAPvjvsxHuHwa5ke9XwmI7uSoZ3TVMZhrPRh/2g96leGyfD89bHZ3KYBcsdKrwL1hfddRudj7Azmg0niSR5GAIlGGPsCxPJf8injfzfkj4efmKZKlkKG++Rp/L3gIJ+sm2imHi0tVWPj8e482I1yb/7FE63A/1eQTa6biWToQxP5sdNBq/lsqvEcg8ATmPx7wbtck27yOn+zWPjje2x68JuI6igHWcviFcpGF9cMCZn0456g9N1rb3b0jvqrw9LVVfRzyp4ajom6HrOspRpA46cd1o0wzZflmUuvyTKpy7TXAeZjLPntBiX4fE6OU+XQXbE7da/b8CwAROO/Dhts3M4JsH64A7aCv002GiiWBl+GweLW2SZLU0vyCaj72mMMj9OfgEQr8HIfej2QIBLF3l7/tCW2TRWqPMCj72Pv/nFVV/ITjHZoae2MMJjHHuzK8y+KU8l63CZXORjYm1iaj81GrQTjvzPx4NtBe77eKTMr1pMVljGLPbIxpV9lCsD18Z32v/J/K4qY/LCZDZPpo5+ke2oCPb4Ui6oLczRUcYnq2rmEBsQHxzCwTZwwfgJgFpsYY8+XqDXyjYsZ2kSrqw9pnf+s2pS0VDE+Le/VOtzkoX8qcDYOEMVr/Du9FjYpqv+Ga2z/zjs6lhHGafSODZ+2AbC0IwOYS4LoB5bbpeRWcgdbyvp19CHVL5d7yJgP3ZtVy/qoN8b0oE5JI5xnvE51WnPLK5RLOKVnD/B6MNewUljzD5C8GeZvkgGTDAn0G9NWvuzYEOSjONyMvfd5TUQT/e0NogH7JnbMIQDpf4tJ2FDP3gARiaelJ1sy6J8ll9ZXpS+6A0eVjE/OY754rK4CMfkCwqqACZPxoarY2ij0nRFSP/k524rFf1pYxJf+Ni6PBsnXYTFvV4JIn2/w+ldOxH7oQ99yHfAfv3Xfz2+5Eu+ZMrzgQ98wL+//vrry7r4HZfJ5T/pkz7pucq/nfQpn/Ip+JRP+ZSPqQ5ngiQ0XHim7JWjw+/iyo512WUZYC30XYiagKmZfmVwKgSy6dBQW6wPqU1lJ5oUmR8tQ/mnI38XqzX8mL5KyJng6YHN7dpgtBWzZrgEJbH3SVj7qwS81Ut9sQClB1M1/Vn5ZKw0J0OGsilw7WO6lskOhwVqeMKFHWG7I8R/s/K+tvc7xtF8HPyu2svvWSHbDzfkqd/clzEBoJGmSbPzqlYPXhsMo+u3E2VUEZ/gyKuyQ58rpVPgI4xvn6QUn1UY+BnBF0WgFRqvqT+KuBsYKUNlFFq2xMByZG3IGCfPpe1BoEHt/EiOpTmgfGyPAm1S2J4lh9xA0VOf27SjgLl/ZGhOsJV9iD+d16iPuY4gN6kfeQwC3GwEZlsIAVXtiBarMAUUlkZ8fjbAnxthGEE40ghryEp99iAGveO2PK9NUvsY99+7ANdoVAU4ma9MfgJ1nDbR56FxnPrt7eUO9jxTYLnCsyZauCF/PQhi1WV8r/TxkQzRot8L+vNyqZ7pNAWWmxht+M7QQM8UgAFqPB2l1ZgxU+gMt+vrfe5/5ld+GOgUx7jzcix3ex1qMFg+3k2b61wESgN8VR9zPpJtoSzn80VqtG/FdG0RlDpq0+Hy9iti48ownF4ZNGPv+G9asb6QX2FCwuoBUDmQ4f30PB6juuxGPsbpoLtTgLTgX4Bg76uCx6qyVOZANwOUl3DKbFLmPfqeefWW/MzvE/w+aXEoAw9WU/9flj4ufuJBKmmYVsSX48D0veQVIN+jeusupsqfPBIX4RSjox3tktpO9FbBVfmOXvYeG2GqsMEoOxlLmx0z3PxA7Tss5QLIBuwi3d4ZRQB030+mSfMc6Pbdcvbc9EvRhWAn6PjMfqTlcXan9nN9nCbY/EXEtft09r4vrLBTP9yuuiHnnJZYn9Dk61LPUn08qTS1023scApUxnfuqxdlnkCgsYoW82JzD4STT831uJ5N/QnJuyTj1KsQICLQGe9FHQ2gzLgOPHxHL9NWCdMNxurvb429wybjq8VQfHHt1ru8ATh31tjRFipfO9wKD+C4HdLjSrx4GsCIb9gicor1TLKE/N6QWBdKfB/soExfzNB9KBrt94UgSTcrj0V/XsnZ6INHMINsOBq2Qn80Okq7aJXepVOqgo+X5QzZquGo/Am3/Z0taMww4uA5w70vOss4vsMe5joBwn0yHQ8T8RNPlEFndqxiv5rowez80ESlf1djHvzfocyZBlmG1LbHbAP4c2C9YDLRxjQJS+AFuVZVxTK5Ks/9L/A8VbugB4Mx+zgq49hi9DiyV3U0YWTwZt48oscsS1f5k4xZ8tmtdjKfZBm1git/L3SJL9Ir5KjJrNAfzL8re+aId0amA8a1VQb5ccVbVJ8tUTfYq9iQTewuWK9sp4qD4J4+Ul8O81T0s0JNwss0CfvxToXuAw7kyic4vSsnYv/m3/yb+Nqv/VoAwNd8zdfgy7/8y8t8v/E3/kb//jM/8zPLHbM/8zM/U5bJ5VcTsVb+kz7pk975Y4nRdr/ufcelr0DoS2tspflmAesqGTOZcCfHbpqAmYzKsULVd7TaqtV9BKt8NUmHJwSdN4T7bXzXLLXX2uyB2p3OgV8oQsvf6qdPALwy1Y/cvJIwSG0GIdG/bhfF/iDO0K3v0o463Tte+q4MuQIbGeW+GrcLSjtaqjnj3dny1WVx3Hhc9od+z4mv5IQ79OLGqARc+H29RQRxOpa5MIaywDXHVk+I92rKOIrHd56aobi1HafeHwooOP7VYNUxjkLGYp7EVIQJaW9LBsxOcv3e0P2kDQ4r6/3pGmnrJzxLL/PY4e0zILaDOOyEc1yPe5HZKNvPwP6E+iAjD/fH8BIC3l5JHAOH/UHHimjefQqM3XLE4873J5q8NRxIO2bbgu679rKG7w2wVdTarWNfsZkTPyYjERjyxXe60uTrpBT3BpxPmmzouz9l2Ddidl2j5Xbkm0S8WT/7alHfPZt24YUADRnLXMfAV4fZumYT/LaTkOmWxrf1fVgzAVV5VyDRC/idsfqOMZHr7Sm2XXB6Jt5Wk9fxuB4LKohirAzn/oOeES5dHtkd2BZgpLLTrlfQ7y29MrxQ+e2RGEiA/aS0o5YtRwAXk3eN5p2uLtJW/1kzxHcC+H0tY9xnXTAl6kNINlY7cPLjw4eF7ztreVKt07to1w+nVn6aPGc6p3uEdet4AfqdyLGc9h3Rk2NivGhBXpbNvuOs8dz+oH6yg1x7fXRfLNDH6pF408aIjHzP32FuNMd8Iq4/mqym/jP6ie+WiWyilXO/2SkYFb4yHrnNjjM9SRhiz56uW+BxVwoo27GUJhusvzsvEOn07rjIMhUYAeBOR4eTsWfSORWNC3x3eduRIH4igtDuS58gpFXwDQ6daIN3ixseVzDq1vPZjvZ+3YLSEfj7CW3BDXp/rzrwM1Vou6MNGPGduVUglO1bK2+/m8xg6zHhgvSb69+ThDxuG4c+m+7LhER57NHef2U9lPKv6vGdo5x3GxMKBrpk/iEZ4qfTdNpe8aItXBz2eOp3gEu9TBWUcTHidCbw1c5cz2Ji7UW6L9m4N1tB/RlQj9dcQc9r31Vi3htDo7bTm9q9tdBjGYSqaJJ9nRUs6fSnsJub6zXbLweTILHuzq7ma6oA+7nT71Ww9Uk9AJAzINrvWU4nEgx5KkN3MY4y7yRbzes5w2KgQzey/bgl+4NtdkWX7w2P0+S5MN6In9OYCJclPaZCsHGx06jPJ5rsnYxPp12Dw/p2Gp/BRyQ9aCedxIla9d+cfFzOJLZNTl4L0lrIyHIHv8FBMQiWa3YKyv5gJzhpWOQbYCbdYItkfXeiITj54Hly2PNZFu6vjxMRAusjswmsfWn07e9z923lOhMGQIMU8aRd/ld2T4s5qPdPAfI7uhzou9CFfMF2Wpd4nnayWoNNr+mUENM1vDuQ6I9pk3cuT33JSTrsOvruOw994nyQ1bQoret5m5jIcAAYJo41wWaFoacHQoIOMCYr7ORpciGPi8kkIQCynGJ5ZcNuu5qKBYnh5BTRsTDB8tl4GP61xxEJUJZRyYSbYAeN44C5y2+aDDZ5Wpojli3LZi2ecRnGEcvZZM/v1YQd2XPhcZZvpBc860IW8O8w7oQ8mk4ap6+lxSOhCPU/NNXjPwwP0ytfocO0ogm3kvDmFbHIEXSfRwbej+wQe2/81eVYOcGT+mki0mKqAnSfByOWYf1QeExvGZMCwklHJrtW8FssJOwK5T51nLl+XsiveYLPBDOJ72QrmLKvJmP9TmQh9mBYlXDTF9iMa2iIF8WbGXMARwuKcz/81KSuOXw+Ya6jSuY3hqPge/9Xk7GN92zRrWenStXzVfJiln8knzDwGOq4Ry95A0VbID1cnR5F7ZQTsDLyVwsOAq6S7BhNDJtJBe1qA9FedT/xwuq+zqdDvtPpaJ3FO5K+4iu+An/v7/09AMBXf/VX42/8jb+xzPs7f+fvxLa1LvzYj/3YMp+9+9RP/VR88id/sj//zM/8zCnPUfnf9bt+1x09+MQkLYhxev926vw41eWpgHNSlItjxW4Gmp4nEbOVx67Zu3IFS9YU9hxRWdN3OwrPJ1376ucxAYsxkborkOoIDkauf4/5yn5mgaWxH9Uk9L3JlDJPwgZ6dOMXvmJ0ykd5/E9kTOqn+iZlUcGdn614ROIfT5C6QUVOOU+Y2uIATX0xvFQw+J2wwdFnhI6/Mqhe9GHJk/nFZFwU30VnXOVqGKAqb/ptzndVVwnPUX2cRWkCBxhBJB7LE40h0xcdFwXOl8YcMsqVd3Vk2N9uuscCIFpzeJD67Q/uSJVjcUOXrOACbuuh3Efmney4l3D2RRu+w1fjXzb62m9xWrEIXw4KClIdz5Puyc8RECojE6zpd05HBmjG+4HcKOVF1i9chy7e5/Iks5Z1TGObd74TyJUBX8FcOgGVoJzbWI5f1mEFzrOeK9vzsdYZB0TX7hhmPN6CV2fYJrFfyvkC3lTGg9jFmN2d7pH3VbtJN6706VSl04RgdTQUt8P2VeSX2318Xlv41gT5zXbu0P1vq42qr1ke5UnYFS++3fawGIdU74TzBT/+f2W37K9GWuqHu3Tdqk4ZPgJAtoou6TU/L/PdCxcWNPEcZDIdXX9PxKSi5SRzhHy/7CfKVbBdxY8mbvnHtRN+p1sPUEvSJaNuRH8i6+f8PfVhmhDv/s9Kvk/5D/SsB3fN9zJbnX2uE4Ld7rZ8YUPmT9YlpfwQBnj8KT/nPgQ9odG3Df5h3d8VHlbPwqKS7JN0GIIPxPVNPCQIJxRVLLHSMwWO53iHRDsn0Isu4QrP7tWrz6N/2a9NNoXde59prC0wl7bYzvz2U9vgoOEP4T37k9Nk+AH8kx/E+bKhctPX4v4Vtqq9Q/3sHrF4pKc5z0175Llsh/S9sH/C5GqvP/sxN2E6wK3VCf68Uc8hTosXU7xvVYbeH8Vs8+RFkJvb/OxtxTMSf5XvGaAj2mC5sqo2yZlgPxa2w1128Q19VsIJ1H3JeuhWsjpssjnpce8j+4mL/t6dnkcfoejjTfqviDt+HsYjqMyk4wuaRqJhjtGGtvN3BvWgT2s6+Dj6Gx+PRaQfaxWOC42fB21UvujbSisbDXH8V3wV5zYW8E2wvnv8xXfVjtgPfehDvhP2q7/6q/EVX/EVh/lfeeUV/IE/8Afwgz/4g/i+7/u+Mr+q4vu///sBAF/wBV8Q3n36p386fstv+S34yEc+gu/7vu8r7+R57bXX8IM/+INl+XcsySC2sSosZdH43Y5OaYXay3AXRjKWw52XnBbb0/kZG0Jq77QRfrhfbTMLUIGTQC4aBKKvZMGAPTOP7Iq2+k/CihXt7yAYZ+inXWUt8/gtaeWK7cIN941Zf/b2xY5E3a7t+N9rvydEVNszATY2EnU43v4MgDxTx3cl3JQ+faeXKWOB78CwNFY5CV0K2dr3AIntqLnS/Wm0OqrhN+LJnQ3261JwYj8jOM0Bb1KXATBWfPFKMCRD0b6vdvYYzMnh2E+NFuTa+nB9QjApILbzR/p9ur1+G+sw6b5LWzHKMPbdLZr6xw6R4YUdg+0y3rfdjUWnHFft2KSwk32XsdLZDcMxme07BEUHjXQmtR1QDS6F9J1Iesa4d5RX8mLArqKDrqxPjHAB7O4B38VoBmUvYw7B/tAJuyPcV+66wd3GBNpWLYOa8c+eVzf4/b9j3NrY7Fta5a6AbPOq3zDJkQ1eKquCdhcrMHaDbePGBT/SfPM1bjFNjI6xA9EMcxvHs/o94OK7zfvxx3mnKMbOQ2sn7MLvcNliYpbxc9CKjtVjPOicOcjW5EVNTiYXzfRj4x/uDGWll/Sf9UNG/7hdeWyN+X3SXG1vbz9L1KU75vGSAZfvMOtyxWB3vHehZXkBqjvQW/+dV64yDXLKY2D4MFqjPmnug9DQmE65dv0ko7zp6O1R2s5h1pu8Ot/aNjgW9+QyL22PQxYAlN92k9Aq+XH/Yys/jpcf9Rmstqt7f0DYORzaMr3Qd8nY/ey+khnjvd9zuVO5begDxrOldvy/jn4psD1ql/19Fz/DZXfF0r3UtkLaj8BLepLv//X706ms6Tegjf92jWzKOPQdtUq6zoKq6PLl1OmEJpU58LV0vJielGSWYKziZxpge8L0++aqK9K6Yuy2k1hXa5NOWVB0pA4JLNe4aldsN04+OtI+nW/soU64tLtbxykdOgIoVI/3oX/aHeAMT6NPO3lGo+iT9o7tcNmbTefVUztIeLa74/30EubfjldeGBjsba6L7oR1Xsy7UsX41/JIgJmDTYwbHgOWXzmwyndCLndqvkgxSfGdaQuJp5P+mfLkTxbvkp4FO9IIQQZ/Jt3GE4BOjxScnO7gQsrv9dygjVA2d5hkaq/X7QTHm8T8tnud4dn6/qAuD7aLCfrWD7uT3ep2vceLlHfbqdb8Bp+I5b7mvhkuZOjwMGGb72Vn0BW+I8bziOk5DHnHXSW/dkomD8i2MV2nJ3H5AwyZsfdJLveZtZ/2RXCGxZQg3Ua2w8BnfAZJN6Qx7SDpHrTyu2CcXHUWXGXoZdkx7A/fVRXpNPrE2mkqCbuOA7Z/9nOX23R/oOvKdGpMWDjrNi0xrxmBQs+A4X/aSUsCyC5BH7Z+GjOYaJcBhwB8v2WrftgV45P6zMor8CPzCbxum1hexRcch1S/69Ad7fQN8/lPArumQhSQB2pL2phul0hXDs+WxoLb9glZw3cqb+8w6D9cnZRiMehOp9l63KYPd46LLESfdvjU/BW7/ofiGnYGiNsITj+jXrefQ5syYKJxq1IVSxy8iYhrxDzWEbPfdEe8vgUdZr+znhqKZkrUVybT2PbOfXDdNOi82bbpBKo+VqH7yacAhl7wfM5jsZng+zJ+cnJZjagXurzlPoR4EuB+hIOyGDt/b/5ZOgmryaZOs+4zdSZTgkMwxjH3IfUZ41EEjsuv8GH5eh8BeAzM+WrFOwRjtutN7gR71fBs5GHjwD7GLkP8Ursq3Z3gjQBbj30Rb/iJQ/Z3kLItHfwall9ZDa14l567fvB4OcYn02eS9U22WgxryH2rz2OXxEssl/1kRmBsUNgNl+KxON3RTkDYNXaH5ErmqQFyYyKLl7RMGmmlnLBcCbyCn8KxvOnddFpS13soI8WBzkM1s+ie6b2XE6Cd4ES4YSuJF9Ex3Zd+o+s5g8N0AwsKDH5hPgjyt9kq4SQRh0+HjOBxtHiNoOmx3a5D1EOd9E6ke9Z3fkIST8J+zdd8zc1JWEsf/OAHAQD/+l//a/zwD//w9P6f/tN/iv/xP/4HAODP//k/H96JiD/79m//dvzkT/7kVP4bv/Eb8eqrr+J0OuHP/Jk/c3d/3qkUAivLTOIMXeXNDvHyvdWjOgmMbCCWK+ot33K1fF1mStWEsj+wzwOLlL/f6HtOOYiV65K9OY72Z0cv+u5YU+7maO7HYxIUEjeXjWFgGGMVftnYRdEmPc/OqCvsInAp3YC1HaC+67CAi/+0l9ntCKmiL/zMFf+K2PkVGyr2bNM2MbPF1c26aVjdaiteeQUsCNbchxBgyGNi9Qd4ZKx2t8AIrY4bikXbX4eve7/zJGw/VpJXwzvitoivEZzQ0f/uoNrfMJ7U4XCcOm7VHXfPG9rR0N/gbIvhHX08MPDPuLXsaaKtpHlzmN1x1jGpQKuWbbz3k/WVVkmn3bOrnbE+uUBd1kxrmW4ZXB1/Nrm6bKfjxwNIBhvGWDPNT0GK9OeOYm935XAdOWIe/LB6i0VBoyKQPB5whrrSM5ajRjcWCBKic3eSbCfJlYP+9jeCCla+7TyJ+PBJWOZBMtysrgBrNf4YdUri5xKPCxxM9JTKTbqhbGCujyerpp0zSS+Zvsr6MUxosaxJsHn+zL9MD1n3acpL9ebymY+y0xfyk2zO+HNHjBbj5MAx160y58k04X2mhRDSg+oevGCcM73kOhln9tzknL0meLTAw9I+nIQTxskQhC+uh/+m9hleHYUyrpbypZJhVh9ovBjeW3X6BGm7BuF5VsWuZDdg+BGHL/KRluVDv7xP6jK5PTgQvkjl7upEIWM0PT9KLOsDLShyoGlZRSF3pvfhAeN1vFzaly/S7XSgUz5u9bMtLMCR33mTBnK6QWfs8zz3yvcbLHdXFVnPcWJZb3pgV7f/49U1SKcnYfYVk/6Otj8mHYn0Oen1DOu96ShvIafDKUNuj/dTkcgf2cluDwt8A43JVPdqggxIenH1l/ummGyB6EvUsD13SvjhU33YBqlskawjA/xvFw5vI1VCfpx0+y3q+jvaILvgueCs6r6lKpMNzD4g43jv1y7tp/hM+Xn2JSWOUWV/aqaHYMfNdlH9p3M9VJ8i5c9+a6pr0NENxGffYmlf1fJ9We3KVpsUQt1miL+xTLPviLKw8klmoBafBwDPdujBOK3aXaSSp4vyksaHZZzPV7rc0ohTpgVu5h4ermx0Lk+87T4i66bVX+Uz9w6Eccx57klH+Y86Xdi+mb804f7QHynqrU7+YloMvkWWt5V8oW7djPHcgvWGXqn8zaN02JbzUBGbYv1HuniSuwUPVn7c20nPXe7t2AKrdp53B20+LerttIn7xjdvaLPPt3N1TDXuXOe4wuF5K35uUH5V07tiRyzfCft1X/d1+Ot//a/fXfaDH/wg/v7f//v40R/9UfyJP/En8C3f8i34vM/7POz7ju/8zu/EX/gLfwEA8EVf9EX4vM/7vKn8hz70IXzzN38zfu7nfg5/+A//YXzrt34rPuuzPgvPnj3DP/7H/xh/+2//bQDAX/yLfxGf/umf/nHo7cchmfAlYSSJyG2VAgd18uSo7YiIARWqROZnKu2YlqB8e1DaBeOOsfrEVw7ZFdQ97bSyFQBsNQWIkRmUxT1aCoGEHZ+A6rjw2uHPKzEKoyYE9o4MKDau0wrENtEaYfXVbuRgQxtIPia+UnrU6+Pbx0kuZiz1vuxjB8ZYhSShvil4xffRFhPYeZXVFOTqhkLYYZ1w4cf1KMYqbKIzFUTnP9Nqr8edu/4uOKedKH2X6R77HPJeB8zjzlQZ1Wh8pzsgG9rdrkQbtoPqehrlpjaT4o+regavWBo2al+RBx2r0LXtINOrtEm4tDvdcWpjpQao9d2AL8oBcWXk3l745J5EeGNQoPMq3w9qvxNf2UroZvjLCNjuMy58zC+tXHCy+ns99+50+tFTuyepBaZkBJY6HQKD53yXMzfax2c/LXTz1mhsmhwxvHYgfX2aGceS/3QYQoYv2z3b8RyclNSG7IA8G5DLLpA3KQ/hEIK2ClgBeSQ8Ek9zwGhyjrhOEV8YUOkG7y/xn0+i730cbWEB4bsMShj/FM7FWDncx/hqY9nvcMxyhuDjiUw/5phkDVRwepYcZ4Il6EtGQa/LeE4K/na+yfKJ3vHOQftU6sM02dnh33oGvkfNk/Ux7Q6tJrNCgJFwznbGzpYiy5x9wGS7Xf10BYbL5GUl40F4Znyf4vMwjqwne3/93RWBVqdTPQDXc96vTv6bwWqLbLbUNjDfw2Q6EYCe48rqcQemjruP2V7QcSqCBfd4dbxvHLOJ8IJHwq5LK295+Y5fGeWDbqU+QAa+ZEfbtevAjH7ZqRx8f/Nmu/KZxwPS++pn6FgsZDuJbAFSWtyUZZt0WOxuuhxUY1z4jt+wy0P6ohMJdJVPi3GQ9yG3j4JUvss2wwoMe61SMHSXTYNFOk1E3W0TWa0dDW2wgzsCwuP+WdOdpkcdFt9dPQATg8GFFKgjmPRDOH67w1LZKc7mCxwG38S2hWe9dgJUpZ00s0V59+J+2DuSjEkuf8Rjt7qzuEhBdgNrXd7bDeXQ9lrl+5cZnsBbC745hFM6He/F3cFaf+dA5bRyf6cTMxbNOl86c2D4Hd5I801t1+x2FbuO2/Wi+2C0wMb0qN0RW8FR+s3opzGA9Cv5oMH3tUIpLlBOKAuWeFwl39lp97b2XaA24drRE/L6glj0zVWKKdZh+jb4zMCo294lXz30BbGcjV2w1YCh28yuMmNfWggD2nYzxQWCtKOHTnJwHGgBm/TTPWhRqvuobC8aTmhBVxhL6l+2qQOuGJlcZsLV4Fvb/drsjRaH0a5oRI3HrZ12epgvJK7apHb9nsaUop3aBn7ll8B8D64XaCdyWP4N3YZt8LF9DaoqxBRA+GY8mo3EdRc49vdsj/U3kXZ7/3qhMp8hJfFfwFPS2ZOspmdxp38aGutbWvQXea4BmmON3s5G/TKeMFlyIENyXG6aUEXjM/O1Wls6+MV8k6nC3izBMNGMyYNuM7V3MsYo60KjvdSnQAbcH8aRiROSy8zX4TvhfTkRwTaU+5s6Xjn+h85yuznbfoD7Ob6LEgNfFtPx3fmupxgIGztp96H2BfJBTqYi/HCMDRsIHb59yj7hgOmnwT7rEgDxhCohfBAuHF+9LYvbBZTZeAGN9ksFBPAmHpWxOByA2x3s/3HsmI/1D3xc9Mv8zKkf1Bce92kzyaQvBj0Zzdsu40z/t/hbKA+TZGhLxrsQSwgxS4MLwZayDvppPBWtMQyOfwm/pxiTw0cyhWQH27d151lILHRe+j3xe5YHVm51vPABOKGN3E+RCZ5SRoHkQnXf/ZG/1vuR5xdaQaubaIyeB9hl2CBi9XZDm+eM3g3pHZ+I/chHPuJ3wm7bhq/6qq/CV33VVy3zf+hDH8KHPvQh/30+n/Fd3/Vd+NzP/Vz85E/+JD7/8z8fr7zyCvZ9x5tvtkj17/29vxff9m3fVtb3a37Nr8F3f/d34wu/8Avx4z/+4/jsz/5sfOADH8Cbb76Jx8cWhfqCL/gCfP3Xf/3Hq8u/KqlSyCzcagekO8JJMLV3uYH+aY58MubcMDAFXMIogB0Ho2gTi1Vb1p4plopnDvjYsyRc3MpT1p37CRYmUfm5kXHFUA4kpNpxUup5IehnUJBgsUCi4ZkC1u5wdq5l5RwEsRsO1Bb1h4VsuCuWjAZXJGZ0E324A5jQ5kq+f/IxipyHAwKm/Ad+W6BbBc0hykqIJxgB3526AeXxnqO91sFpZ4/jG50228vKgTrRg52NI4zP/UiismGXUlAoNJY2Mb+fBPuTNb+4c2OBn3Mae/+kwhvlIX7z1ZIKcjzoc9PmeF9lTMp2QzjcRZSNWVAAfE9HwcgQGnKVMI5CX/SkHsQHGp3pWT3o1ibdW+BJOw7kIm4sQzCOCjJ5BQsODYDMIdcN0Id2JPT2KMPYt38OnDHnEMRBPmRZFrNGw8dq5PLWZ3umIyinD4lWyQg10LjOCXY2nIwOyEh1p5d5iw2vzgd2XPf13OrwCaHO62GXQpp8dDnA7Uj6xGjPZEOK18/0nsrzzhL4sasArtICfR4s1HHU7h7rcMfc8SV+DEo44p3G3foW+puOYnG4ZfGbcK6AT65dnwyC9uAf47DL0owXdzTsu8Eqo2iLgNJ4XQh+GfK53PFrdfIktD0iveKwJIXCeBZFnLzViOOgQ1hmGZ65LaLzvFDGaTXtyAcwgrAbwriEoJzBUNTZbAdM1wi0d13vcR9YVD+2fPsZ8ag1aoMd6e1aLIgyEWXwG10nOQA/8lywmSPbG/Sylt/0L8uY8GMoW7ZNeNzDbq5O25nfAkuwDGM86gDNx3a3vBJhEH7HNN8VBNUJtQnkUQcHK8oAzSpVeQSDfDputt2u2zB4m62+KcbkEsEdmjDbcW8w+yQXiNd9QoiQ1jOYs7rpjkDX1FdvNwUtG0wJKDoWOvgpWdaRrpnQREc1q7YJaRi+uP0XaZn8qFO2NQzfLEeFaNpSMfFZBoSO2l+MkfNWPgYbOOaXO9rOtBiPidWRh22NrH8Rf4dyh43Pjxpt96NV+yIuu1ZCTp3w+yLRcOIJQAtXdBq3VVv+yTaD9yPC6Sh3Puxy5u3wWGV/iekfGfK5f7KfyXrZF0/2PFnGZ3sx29tTML6Sl4s82m2PTBNm8g27rgGtJwx7yaqyMXL7iI2rNWzaF4A6bvLiJrY1BG0RrCn4KgkDk55xxeSHxfI69IOgXdtEOHbdVbXrbS3qHL0O8LUFSncSnemtVH1FuybjXEdufQhP6hP9lXxptNsebkFpI9oQzpczQg5FVrJ5HKkBJzPKRvAt909DgbtkNeMsdKY9r0TNPGFCNKXpkfdhXNdzSD/PkzTX01vpdmoAcfMi0b7h8ja+zGs9k18zUizKhMbFAcLvjmA3VBc6hz8rv35ZbRY3BR96XDHR1lHMNLxz+MT7sZc2BH33xQ4jhhQmcVims0FS1GlwT3Y42xBFX0SjybHSo7mfR3Fyn/RjnUp6ukRpklPi99PA9TbTh5sdW6wiXPmScUHw3rTbWJWwDs15YDKx5bfFubyIfEnLqQ7JYza1V+i2rOt54pXrNjHECwzKNgZ81dyB+U1zuQOdq5TnYOFg1b2776BlFd7byfNBWuE6w3pPU5kmWM4x/+ZYfObBFX0U7WV4ha8xyfqF7Y2Dut9tC3ff8YnYfd/D95//+Z8/zP/qq69Ozz7t0z4N/+k//Sd8zdd8Df7ZP/tn+PCHP4yHhwd8xmd8Bv70n/7T+LIv+zI8efJkWednfdZn4T//5/+Mr/qqr8J3f/d346d/+qfxvve9D5/5mZ+JD37wg/iSL/kSbFvWuO9csuAVTOgDUXiiIl6QcK4pdAqSUL0jE61UTIYjM0EIlhXC2AU4w0jv71KKLlxME0dhFnwOw01aNXUzTcY29T0cf9U/bfKwUoQ2blxvsbV+FshUXgC/+5brVQRnNgQLtvhsrNSd2/by+c7YCi7re6fF7RoXI3oZQQjEG91meuGAORuOuqHdi8Mr+TsNyrWvP8/BdVO+/kxLhz/fA6LACMLbu2407k867WtS+BONFEahjREjjowCw4XtKtoVPjE8DIA2lvtDGjBFC+Z433XAZHDZakVbgSiAHTMsaWBttWKQAVzXkXE1vYv3O/CRsQD1H2O3bH5nMIgCuNBOZgByYX5sdHLlY3cU2JMza+hxZ5nkRgtM96CvTXhY8KoH7oOsM4/D6sorLHdAO4wmE8fuTviEdAhoc/02KZIj/z1InycuXM5tLb/2zzD5xGOJ9B0IdM1jt8pvMNsO5FC/je8Wn/m4bzrKwNrrk/R7ym+8xfXskd9sB0HAqaXM/ykPG5ltcjb2N95P3IUxG4JMZgln4ahAg50n25LOmPQEpWknbafBUo4Xu1lKo5XLcGbTHXyneceNd3WLfVOySXwCNcvd1CYHAbKe4cm/vPBlOrHBgUTkI3u20vsG+xl+D/e0WCDVveIJBYYz3idddW+yJdwFRzxvDjRPIk9BN+vTFstPY2y8aHqXdngwnfIO2GA/UJ+PnHBIq3sjGFg2up3YGSrsDAIC/sLOJRCMBIvpdEllvQ6C1fi/yQ0JMs2d4sG+KO8Y5dW/dP1GFbsOeGF4fOcUVesLO1hAxL7leyfDvUTd3vUAWsEDNqE5XZeBiCe3z7Ks6DAIGy1Zvk2Nxu9jTCXAxEE/TWWD7pCEOnPAq7ZXfP0ieYq7LlD6Z2WQMV9kxnyQ5SCN8So5DadnPhlLdZZ+mtsDgmWw6ogemIYznNauMwscnnmXSWoklQ0TvBh48QAw2Vhqn1avALiS3YY2fts1tzX3a9J5tOCk7MtCxi+DVdleuMV7ZLstbc3+3RYZl3rd5AHrH5Lhwb/L8JqcFJNJWtohUx+D3iB5a3LI7Nq97wbdxs5Yk1Vhd+wptQPiF5Z7/Jv7Ze+6DomnoIzOyE6swX2xxoOsp51olZGUd490m8EWL3vAYwNgd8TmSVbGuXU6LcbLbUSYhw7hXdOiOvezFwn2U+IX8/10k4ELGxvzSXYamzQRviPdE8h0jJi36tMtW4v9uqofObkNbj6qvaCxK+cQkj7legCEeEew24ynJvkpk0AIP50vJPDHMi30/WTrAVGuU9+U+6kxT5CJzLfcyHTJK8aOxItEOZLrT32Z7Bf6HeNGaVEtl5P0mfqz1L0VbKbaM7xZhzCsjg7pu0DJHtBGM3YH+uoECe+Ty0YZ9Zf6JSsOeg9Ef9na4AXUWuNlWjidccCwmwzYC3xZftNHJjuANunPOjD1QwCykYd8tjZY/LJKtngL13WIa4xPtvs12Qcrk2qKX1rd5PvB6kH6zjwJ1Py78GMCvBvGPbAFHWvPU8b5Nf6uYg4M7hxP0SAjgm8IYJqQrfia+7Q4hQmqM5xWBhrbCfKqv0csyyn3yfuxok9rI3aprMe/L3i+1UOL+1ZyChGWSCu6pPObdVLdXObIV/lEpXd8IvbTPu3ToM97h0uRPvCBD+Arv/Ir8ZVf+ZVvq/yv//W/Hl/3dV+Hr/u6r/uYYfnVTrIrtotCT2mbeJAiXaKa0OBshTDkOhRtRb7Vk4WmXOPRKCG4SMmFZ4dJVMOxH3o2zdaN2t2MWwFvZ291VQ1QXQwnB94EZFQm4zn0myTxJHUwOUKlQu242XQc/8UOlR8lTPVmA9uOtjDbY5pQkGRgWGZrP1+SbSuJd/Sj6DQEcFlJe7B2H23s3NfK+FbAj++TfnyU7X6jHTmTM2tGANUdJmL7BIvVc306aBkqbqjI1vW30fnWjnQCmpElPbsYLk7RQLRjNHywOhwqbeIVCmz9SNj93JC0Pfbdkb09N2Z0GHRK/bAJFzcgrM+EZxtrXrGuG931em27V/YzmtTOkxPa8Xem/gCwydZt3yAXQJ+g7RQlR5knvMyQniaxfJxG/ZqshTyhO3gCbcK0MJz4p9rY2jPrlwc7xqo7K79d0Y5ufui4OWnrn/VD0Y/n1H53KMbOzA1Qm9S+xAnj5qQb/EK0B+CMsDNXNxm7b/tCFaU+eJs+wd9p0O4DM3rfGDaTexgyKRsnJpN4p2AfI+07fPXaGa/TvPMkrJ+RBy24Go7hI2OPd7Xy4LF8dHhAPJ6NbJsEYr7vKsuCK3KNzqh2/jU6CxOCBp/R95WOSu192oXK8ySWzH2ySSO/t3gnOfDEjgkfsGTDMDsAlfF4FIAoVz2TPIS0Xbvi/FrrR54gcxmzx/EKk6QBiEFXkialTS7ZndlKffajbem3wTqAQeK3AWM4Ggudf6hN75um8TMQjVayc537B+pfr3cnWjQ5vjOsjB6GPU3amv52B+/aH2yjf1u3R66ncewlH6XkMpFg5T6tJqX91Icd7Th9tiFMJ4H6q0h4mmkpBIt14G3jhTBF4gCv320IBP3FAfiBvAhKCLY5LG2i0MFnO6art2mi0u0QOrZIux4JckyiXNxlnqy1PPugbbZBw2+7m1YxFtKZvUHyMvQlyCPCCR/ZnWElHLq9yY+TnPNgwB6d/3BSym4wy+BNu/d2G+PPO3hV4FeYOGxWTwcg70bn/rDsyTgIfkSG90U6TFUgatDoulyQr0i8QOU5KASifUg+AWXkDzZNGvNRb/KdOPEpQ95Ps59kehbyEpzuJy/anxYLSpGXy2fdQwwedN+ukI3h7G1i9MtkuE3Eulxk2W88Qzyuvd9qEx+Gd9pVz7BO8YRkf4S2CdacJ4+tvSvjFVYn28gJFyGlci5Hkh2suX5BW4jKdgZXO8nw0Zb1xSYfnU7MlhRg7zJ0h4yJUNO35h/aM+qXdy/IZQQ4V7s9QwBZ6M98E4FPjnpGm/hIddnraTKW5LfBBmAc/SpK46ehHwF5Qr+FPvkEpEw0BIrhjzcCHAaOgwyKNoL1g2MXHjpRwqfSWMzNDBilHkeDe7KxrO/WZtKFPo6FfMl60epTIdxQ3nBMbO6A47JXuMEXhYwF+wiximhnZiZfAMjyViW8Zptw6CKaqE06K+O3EsGD1/qZIL3v5hOqn3LS6ms8KqMN0LiZwE79FOkxhwIm1gE+nF2G2/NyTAh+lvv+rMDBRAueh5Ur5S+3q45y4VVB9xzvGoyCMfnYcRlkd4Uf7590uAjUpDtXMeugR0lOeN4kxgq28ZclRgodMtWvVL7LpA0ND+A8GHnDdxKZujcbY8RpF4BZG6yfeMK3WETs9g3pgm6atecmJ0DyqCaTmArhWI7T81bTiXHEwLoNVsl8WB4MG+goZWIwNuHxSLib5FGW6YbMRd9WfBpjRRbT6T9XC80TfGUKE7YsRBfVVaAnGg+0a1l01J8301Qw82RsttOneZ48TkpjwTDnseyir5+5EMyPuKHrANZPYHrHJ2JfpLeResBjcjRAyjErGAGWS13sPaW8mje+S0U16JRSIW7VjgPEfKsUYAkCoLj/h1bfl4Ll4N0ICPQ6qDGbxOgvUE1Q+ycFm+zegJXDPoR6F+JmdNlAmiFt8JmQrgSQIuyyUmBMWObjp3XGuwdmcoAMmPraFAjhpzv7wclUIjk2yMxYYIMg/V4KcwooKP3xcDJ+FDQGAO3SGXkmfql4iPqhG00s6LC0FUlJpxTGredh3inHh/7kKtig0EfxgMCoPNWd+qibAmdxxzk4epOjnOqiMZucZNAzNjjpeWkYJTw0ur5lPaX6b2XnsTBYbCLD6M3HeByVdCQ7Mt+FHcj2ileIjuoJHon9FYLLqktGXnOoZ6IyeSsZ7zlgWBlRxZisJq9WRprjsNIJJrsyb+fP9MxJze7fuUrwh7PMC+160EAiPZrcPHBsKpp0XGKWiyElnVe1kXeO3kpBvxseOeBa8QLLIsT3w6G5oRu5vgko+qx0SVXOZdnQzWWbuY303WnTxzLV4fr7Nuwud/NqXq9w1Lu0TwyXe0Q/8thQfS7riK8k4xIYTrw93lI9Vd0LGJ0WFrw6FVnxvMo06Sjpde54fMYdOm6bHS6TI6XTVNgXbicteLRqjwMX1aRmdSxrgHeCK77IQanSvr7FR1n3uA5fH+EYAjXM+weRinJSM0/25ju6MswrOVNNGhOsFhQKtqEFiEhf+0Ih1xl32A4vUqMVvTEGilm/FPmA4zyBl1TDpL19enF/No6TvBm8u2Py3XzEiabZ9lvBXNRV6qaKZ2+Qo2be0EjPzOthR2VaiDgFu4lf7LqENnlFvrLrIB2yaAV2gadStxV2z1IPU5/vtuFB+qbST4mmQoC9kkVs7xUwZ9DyiS7I73aMI27RaN3Hpi+CtgkuAOMEJ26M1WOmjUyXbEuJDhuE4kLyOO5tdT1c4DsGKRUTDWaEeLCD3q/wU9qDLMjtL2VU+svPV224ndnqq+YCPauNM/tvweBOXzN4acH8BAtXt6e8PNZZP1d9BcnjzI9ZwQv8inVQ+yEt/GwuI0CgiyBbUpomSvsXnrwo89O74HcYCSY7meGwZ6LxNzBsiMonZR/ceKeiv5WfFhZ+Ki1IkgQjRnmvmerzRRKhvQwwBtEW9J5lxKQTij55NWQDTHEKTonfOM7pbPw8Mj8nk4/3poUM9ncH+tvpCsT/bOcUcr3Eh/FBktlTvaRLKjlo46TAmATd4HFUpPEJrA64zoHreIxF0WnBMrfJscwYN4p6s9Y7iY64b1TZoY1gv/nZzUmAlG3Bn5797dDhQR0mG50lXWcL7rND73/ubS1ozyc+J12Q6Jsmhisan2NyQvEIrXVOQZe8g1elLXwZ/cvEYnBWwjXBdZBuzRUEvna50GEzWnqXTMICLyZi35Np34D9PBhsCtgyQ27jHtiwG7ULkTAZYauOBX7X5ViF3vK1CSAZ+XV82jvh1fVUPx9vOABWX9EcnScplXRzcLQZQDuao2ESkuu8sSRmBOAW+QwGr7P9nhzorKSutuFNHc85yGcG6rxjIQoJ3yF36rDYTqPLENZZIJ2e9Tb7Sr12RMjc92CoW+pKHIqx68IcRjaATAdkH4ANC3RcpFWUA7fFZ3rvu3kMt4q4erIfsxuOirI8grG6Or+zNsioEl5p3ncT5lVJvqpZAH1ieNBRt7Zdc3YfH/OMGC4xKwBJ/W/8Gg0qubY7QVWk3dO4AdeXjD4MDwrd+i69q9UtUNF2z6kRXl7tJjaIHR8AfKeffVzjb3bYfceo7XrNdCXAfu4ywXYaWnlaOZl3tzGvhCAGw06GQtjpZ+8UY1JOMFZsG11Yv04986PdPyt99zTCkcRWrx/z7LtmDS+9y7zq3AD3sRzHEZvczLsIZe+y+Tza8J2Zl4FgAfpOdwzn4NrHj+jbeEEynslg0dNYVR3GBJgccKO7KSkdR7S1ceegCN8fqcyjNCZu6Nsdrhf1Fct+f3APetndmd6fS7/LmfnN2ra+nDDJZP69Cnr6Hc2eR8bvQrcF3WxjoPB7VlkOOL4ZHpaPNBFrdOmru5PsdEececmOjaZ8XpZlO8FiwabSYes44uPoMw2H/OneZ24n4ILtkawTtmb7bJf0nuDmsfXme74t0bQQvv0UhbzrKukMr0/g99y2O9rqNn0hFN/NV+hUDsx44H0Drt0G2B8INwk//pPf5VSMc3jHP4OORZAF26XbQGeNtiN1euJ15m3jLda3Xd8FXU+7ecMEPI11uCvGivZA9MZH63udVpjgNPnbA+dyNVu2T26Skz1sLUN88Y7qLcdD+k5Rw4s99l1T6ja71dXkZIfZd6J2OFT7bl4Nz7g9hs/s3crZDQtFTH5g7DrmOmceYwOG2mSZnncWMQ+YjOXTEbgvCp9sMIfaF0ZSmy/SQeKj1eyREBm6IEk0REk4T68zlF3kZz8lmEVOlwMGMSVGck4h7aoOP0GkaNBpLb473C1d8EHZHz14d1DfNHFBOj3Lf7l01PPd9YDb/hzUks4ffl+s20DiNpX29mwX7X6yCcLodxov6SaB95eJZAT7fdOETNLf7jfyYxrmSoZyfdNxhBksGfRsfY8L2DS0yXTIPnGGXelZK5sA7fRpfmg73UEdR2KnsxCe8l29ZvNVPo77P5jftQxkX590LFq6tHf7AzwmwG3EuFF/eGq6ZHRPmi9JNOvHDic7hJOfRnTSgTi3XzpCfccY2Yba26SJBH4/BU+pqPtVWe8Kwgkc/tl50zcIJn0uV0BXi4NNJxrNFbre7ZYL9RUJ7wsazG21+vgI6WgzGU3ybuVwqpHhodOe6+MQl+k6VaXpWvZpTC5NsivKjKBLFOGIVcNT3hWeT+0JNrfJoqwnRAPZOJqCQhswShdWc/B92GLVxGSoo9toKvA7ZoWvHZKxM3yUm5vz3beVvEsyM0woFGBPesnqWG3WAOmKjWx4XfBOhi/VY7EqII5f+A0UeB95M51lJSFFfaG/i/fVYl1YjIjGSBmOpJ8djKTjplOfaDiXuxgzXfAuc2soT6D2fAbPpGuzjlSEzT/O66dhW69O2/JnEvsTTDGK7UwxFKojnOCTeQLURsd99hW8HLiv4nW77Cv4a7LBrC82nmmykNvINBxwI2MuJfS3mGsoeZbgaV8qRuvEkOUR2wL9R7B1Ur6hq3s7BZ6yD+gnHQDu+7r8KWAJV5RolFWrazsmmURyPZ+oFPJxVcxrCzrlvNhaX4LN+y6ahAVeTMS+dxNxYAj49ndBgQua8NEkQHqqHOPQDshGqIRcoTSPjPSPJa2cajs66laahbu6gJ3y8qTKqupsnHSD3kR9hRs3+ivjxoUbqQpFc5Yd+CF0BPN4BseNlWIy/JSfHQi+kH+RwnsyCB3OBY26k0zJHZgThuHUlajHf+iIqQjIAZChkZTXkLXqHFfeYXangrNwkfQuBJoTPiSV1aqcvbdJWg9myzjuNis40WYEbdrv88GQHQo3bupoSI2OkCqU6fx9CtI8T33Pk8xw5cbMUCiMwcigcDrzwLUM22jildBue2gy1sai4s0JBnuRMjN9rZLzxGSBxGfBP82GzmI8jozJ0nF1pBVwLnSO1TXlp+e+UIGNwsqGNb6h4MOyD4s6wjvnlajkzOFf8af3YUXnXP8RDM+bJg8m1pNjFHlSZHJsiDaWAQEUpFvRVMLVEjdcdsErVaxlmUgPhXoqeb2Cg9q9K0kcAisb/DUBpgVki7ruyqPF96KOrMddxhzRYq5O0Y66zALGPheEcihPvJ6UP8NW2Ey3nLVRoQnyj1+qZLw9H9+Lk1vuHNO7ae6g/ZxWOmkKxN2BKu8X88oNnVfa2rZDWBf48oy3YXqRjlOm2RBsOcDvLXsAiHbr1Oai/VU60jlH7+5ORzBkHbTok8FyWN8dfRXbqQy0AC2b4Z0nQpDSy4x8bQj7McT9QZb1OSgXxmKh+8Oz/lktgnne5DRBtse04BLxd/D5ssxJ9sHKvxyzD4guwJGurZ5PgCLa1hi2ud0pKrvEHUndlwsByEoeH+k8zt8X3pqNqhsFINNi6DD2Zf9SO4LhT1bvGZ57aeNI15CdXQbdLU9Bp4GkM67sd1/sBiS6srQB5c4dJLwJ5nsjFzasBoKjvKu+LdK9vHdzIq96fosf3qZNkuvwobtHDqfvkxwwWSLaFnffaj/LwIMd76W+qsY6v1v5ManeOLlxC/BY3soEXaSzne/v7vEnvMBBXilwYmUqGIt3wSc5oDXl71aG+a2QUzfxeNQ3y0Lw3VNu6kMa/xxnDxPVuU1r6h566PTjOr/XexhzY53B8ErKs7IDmF5Nl1g1d8Js8IYki6Hj2OY9+esq7iP9BW8br37MtueNhbyHfmoaj4+LHcwwgexE3Kibrr/MeXmRYEgFPWUfstEvDVYBQ+1Djs97/Jl3U3oxEfteTN25CAFnW1nTs/jq+LI87ZJVwO549RWxlHZa9YLdJhm01WEr+3esBQclhzk/P3Uhe9ERhFlJTFdq4jtEg0LfFThvw6HpRomtYvG7u8B31qX+pLZt97Ertx3QU6/30sva7pHrEGRHgescOM0rvFVm45B3fgUDjnYa5FVPviJKqCyPqY7ffAcRw2Htb7RL18tzPh1/kvK6sUjw212H2VHez01L61PCT4fzarvw7AgOQ9GRQbETGvMQG6yCsFO0jXOnFWvTxp52pdldPHLF2Hlp+Mq75NIOvbDDNo3b1mENuwspD6+qvD5V7Nd2T+kOaathOw7xsAOb4vT0ivO5AbRtiut1w+NbZ2AX6Ftb70eEH0Dc1USfnNd2D2mfDN4uhBemkd6x1i8aIKYdEN7YUE075kKQXtB2tnZk+l0v2xg3p3Vua4PfEWv92Z8o8MBAiwdRLDBgu2rl2u8KFmqrO4Hedx63yujUwSei6iuwQ3DcVk7mO2zI8Ch3AqfmjNeMrpzuiTnE5AzLKMM/ySS1+6H2gbvK6LKdvW2n9hj3sDOZ4cboi8m4/YS2Anmnu2N5t3whI7k+l3/bwLUbfQE/6voOPGZdYPlunMch30JQiiu0vhme+7PDSVtWv8lgtUUXsrU7yNaVjPa19yM4fEX7eQd/CZft5t3TkAnVn/BtpzI4/RJsfBcV95XrmgLdO+1q1YHT0K+82leobauPdtL56nzaZcs6Tzc6yY15Mn9mfU6/Vdq41TsKSJ4b3myH/DbyV4GVfKzyStdWgQ6HOa3yV+4/9XFaeLQbcgkg73NWsj3ZbtgkV7zfHdasN9imCCuheznW/8z/+ymOjXalavZZ4Iu9sNdunKzCMp5hD/JYAYXpwnH8PQ9m2LWl8W7a0a+hy0Y/1cuzbZt5yvklja3323dtd114Re1EW/vOq2P87dSWRrvmX4DgUeAkTb4KkI+LtZ3ssmPcZ5nGPe8KjB0pnr1IcyK8hsfMsgr4HcoA/OhrZ36ZygFr3ebBOruPsbdT0TnX67BoG/dwOofKOElpE2g4Mp2CQBVdZLtBCt5IMN0/8RF1MH8fujJda9Nl1nZRTLsCyFbzvFw1w9hlCN8Ru7KxJPftirGjy20jkyda4yLJ8sDz1lTGvw45ONmo2vW70M54TmaL8OQZgOw/+jtpJ3uZ7WkvWpwAvqstl/H+K/xUlqw7+TQce+inDdjJMn0XLAfg5aou0wBMtnMVQCx3NVIswPMAzUbi+xlFoNcG7xXS7FpaxFxOCmibzA14N5+XJ2KJDkYAopWfx70DzoQf6EjGM/8bNnc4TjfNjEk6UU06HDaWAvgJUV6mnxqkJ212qvnMwPBRdox7RhO+fVGztyneZhgTK2vjWk3CYtgPjAPDCdO3SvOP/YSqSZbp4BHij9DshnkBuZKfthEtSyGrA/zjGG7t/TOaFpIPHH/iOoKtJAftTe1ixI/stdN801wWI9HUXuPDeShaTGfAHvwFGidgvMs7/ew0KTutzXlVxX1m5j22c6oU/Ij+u9zNleSHH1VOMpN3E4f6k1HIbVQTHj6OSQ44akhv8Y5oy8t+DrcxyfF8gsqiz1Ve85cCT9E7sEpLdsC0ezOV4yJeLpzk0r9nXW2gmAzfCIbExw77lcbbaCCPf6dnl98yrpcNY0+0u/T1N7i94b5Zb9PliMm9JM7HVVvRKOA7mkde3J1kl0hHLFNO1I+Cl1TgR5VX8bdQFwgvSU7lNOQAE9a8oct9n1sp+ZlaoDLEOARTWyWvuKBf5GWYdZSZZKPU349iIKhwmZ65D0kywPxHUHX1DwKbadPqxsD/1J/FXNQ7lV5MxL4X0yTZxycrQzfukjDIgVlWSM5LhWIomdmUijnqz7NStjpCyq0qfgF3rvPlziVjsiFQtBPbnI3D3Hb4ZPjoaObpiGMyQv04uS507L5WF0TWRBYMPEZZEGZhxzACYdJPdgU2KceQBWMwNHSmkwkneawSTYVgufcXUVgWR1zwcz11IyMrH8uXDb2qjwwrKV8B+i5jjccwcteEmEq0KUxzdgC/y5edDk9pJ/Lkg2nPY0Ycj6U1243ioGQNfpucObe7gNrkZ7zcHptCTorTacfDwxUiLbwiorheTg3E7nzk9kt8Zhoz+SAKoXNGRnCXjAqJ1Va8HpyALb3Pip7wlI874sB0mbTLq0LW+DFW2hvYZNzBYfSQjZfUhyPnyprPPFWJvlGAaDOLmmJhxKptc5Y5aD/J/FVdzMOY35fwHXWqqifVb4Y0QMaTe5v0wXJr0Z+dZc8RHCRjTL5MEwNGZ4Vc8bISRUfJW3cmpuspKLQsdJAn6LHxGQIQaQfFXTDSd0XEQQUfLE8lwyt5qXM7ISU5YLqE680BdyFnV3MA2PKTPK7gzTo6J9Z7pVzLup4CNutK43u3e6orIBY86/iy6nI/nL7TJGLWD4W882qSfAh5VryQaZLzK1CdjCI0NrqirYlPmx44Gs9cR02vXZ+kshUdh/7lx7dkU1FHDmjdZFW2gYhXxsSpRvgKWNlutWOlAn3zmC/sb7PpfQLX6Le36WPc61hOwr5Iv/rpnoW2FV8cJOeTQ8PnqAJB9mtdPn0sacW7xUQ0l1nu4g75FnmCXBO3Q9XeFZ8jMNnsOcubJzq9C1qMjxtLiPldH2nRXtWv+Xnw/xap1S++KIsniCp6yrq7nCBSysu+Gj9fApTqX9FSoRtYX7DONN9ageFbOL5aR22yruQhJbBYz9LzEEDW9CeA6LjPUtHvjuW+VHpH4H6ddl/S/cqABCp20wgqfhe2A3TeCbu0sQ7aDPih7AK4z5gztx3FEpFuAWvz/xaTNaHR53y38qtC8Rt6OduDRzbrTZn7PLbIcySHZUEOU1uS3pMPbvKF18z5osED+3maiFLMNMd8dqBTljTp9svRoBdwTcDO+Y7qcDk+jZ8GcEQPYHs7OtT4NLfBcLGcCrDRZ+DJGoe37IxpAi7pgICjFS0eOXVJBE40eitxu9RMUGOC+VqsqipDUXpm+qacHLyVDmSPHry/u//AQijVKdgelRyrbI/ntEfvTqsdqzcW7nrZe+oJvxd228dJHnM6bCdPNFdm8F2Tzsd13END6vHLqAsmn72qy3juXTQZ+2Ii9r2YFOWuJQBjVTtdvMz3SoXJWSSid0WpUfAlgdGEPGk3ep53BJRORXbubGducXZ75RDmd60fEldSOPzR+GBn+maQWoCj3blKk5thFxfoe3Ak+tjwTub+xQNStPrOViHZnWL5+GV3KPIuVYWvxoPdldb7VE0IbNeWj8eNDQ2b1F8ZG/upAbL3XTxc3gPyvV/XJxj3u1qdVq+RlK0IP8HvmCntNB2OBpBgl/He6dIC4FRJe94Rs/Udd32nKe+otPp9Z1/fAWur/mwys5osYF4L7wkGh5dXv5EhYXcPw3BJ/W07RQRXKOTUC19aPjkpTucdT55c8NLDpU8cA5uc8LjtUN16P7uzra0u5oGJ/hXNWfV763rf+x2xhqeN7k/x1cZ2jw9GvUbHwwFigqC8gd8jPO2OLQltDeTRkW92N4uJNFpJHoyOYqfnvOtUyKE3YWv3Koy++/FX3u+BAN653hx89eq9TeOFfsyYr4bm1Nu1Rv34ant01mBAt5XPvWi+B6njJcgKiThvZXQMHtPzAIMY0ORA7x+tZi66MuBAhCPIDKmfq/RV432Xo7UVdCbTUscH82B24n2SoNM3Uh6n4Wv6nXbwxY4SXrPe4qQxf0bU5GhdZfSBTjvgCRfbcZnvNvV2qO1JViHywnaNOijj104M8J2ejFcLmlT9tfbTc+38kINrAZ7Uh/aC+ieId/TQBKwQ/Vc2gt0/GnYd5PFLsiKv+g95TDfzzpdggxBc1F+uExi0Zvra6I/z8F3B1p7rRiDxeH8WdpISjNzfrGMB32mdHS8LfoiOXaumR41vxxhEHTDde4YhejMul8E41eXYBhh5hym/9rtmB64nO5NgC2PL40Z447wso+4Jorj94Ha+6WWNdRvsafGf+QwGj/UtdgREj+J58m4dqO3sa3CESdoJ8PbO6cHg2TF2KJMtlesR1elu9hfpIJmPxLsI/F37UPru9L8Tv9iJQjmPAm1B6rLqqaz7pr6Fg3gLJMOWu7P7w7yb3XjIZXPcfX0zWdlkRoZ2uS9JvgEzPU62QuqS+RQA2qlOva7hw4N0cfLPMeTkfmonZog0X6ZdWwLXd2ayBXhZPvW8Rwsocl/596Hfb18Vze9l3aGgxY69jiT/DIfKOHY6jPLT7DTPYzKk23keC8GoT4C2c6f7L2ZHG4y5PzapOmzDJEcFY6B7Y65/yRZrNM+7PyP+st4NdkCxOzXcr2kgCHBCl8dn9ViJnnVMSDp96oD9AdCtzQbIqSFD947sXeNOVSubU7YB0jvb8dQrqO0Mn9Q2QtLbNsnit9Gat7f3un1nrcB8ICMO9w8Kmrf3FnNjmgRox+i2wE2CLev+od+NPoRsiVRBxbJSvEt2hmdj37LXP20yCO21MWHfk/uhARcYsR/Lk8vYo2L3pmcl/vW6BeH6IEXHm8VDq12EXPWV3IOK54nPRwP2bCEnWeZYtismui2L2zOTqSQjQ5mFsp38DaanrHi8KhnyMMWYAMQNAUwSWoyd9V0GLYS8xl9JZyjXbbIh4SMklpOok+mAcAeslSE4Q3/Q8OFtpD54g0eyzbKv3vvC8tB0aDPrQCtXJZ4onfikgqGQC67LhMYi5fMYiOEp6SqPp9Ks2Oa+ZFZsVG4FX4cr2ECL/lusgf0Vf3ekJ1hu5IonfWKIGDltA0wJW56cTbtobQObwcltljGOgn6Xvm4GPZVVIzKri/xYm8g0X24URJBdw08rBlHSdycJ06v992a6k3Cq1vYMu/eHTm6IzToTz+NOcLVT7W4g7ROQXkzEvldTFkhGdCTwBJJ2X1rZhSTr74Tqac6Glkp8DlB1gXQSNz6nyRTOr2hONBlJHuSZhN8aZKvbGHkKstGZ7AbzToZKBdut9oJxw0ZOBVph2PmdPxTQFzUHSdwhG8eWoq+OKlSFUB5+Lbk9cQN1CrgqgNMIjLo+IIEV2uDUlT0fLzcppA7j/tCPAqLnnrJRZMef2pGtOmR5OTzZsCCF4ffB8DPq/y4IExNtEqMrxz7B6EcQXjCOy+BjPZG+LwDNRrhSuRA4JwMcAOSxPduBsVoecAdNTuhH46oHFGRTnM5XPJyueHK+UDCkrYoW1dZPm6BEU84CGQ65Aw0woeumHQeNAXxV94nft+Of9gd1g4yNz5WR6o4cRl7LbwZCyE80zA4ZE4wdEQQ/NigFWtiSUokBDTJqK4OwjaP4sV+8Ky3LhsHPOuRVBzIEjpKMmYIOPDaETw62Oy6KXdfOq2kSWlLfvA+JV/0Ir2yAUl1V0A/AoN/Ms7me/GxlMwkmWspBeuO1aaI1G7ZVpNRAEfgRgFWbE+z9uw1RmEBj2LcZ5wDp84RHZfymsfFTAijfRuMeYoMHY87wT0fWd15ox6SNZ7kcT6YoMDuRwS7xRzUd5OqZ7qwfPLnKzmLClwVhnbfDMWKjHr6f2Nsr8JvpeLKXrA2G33BBwdSp7yscMB11ebHZzt4TjY/GvgdZQjiDFM1me4LgCOogjfPOeEqTs/zZjhkfeLXJiNXRuIHWbXKFdGy0aXSM0UlCPZOd9JxpOIiGWPX2pyolEUagmYaEasJ68IskOp/x4nLNWiro29p2eMnOdl3ldCK93pkQy6AsyZ8QSO5HcduxxeWYckDV+Y58EG3wVjr/pk/wIoVkwY5AG1Wq+OJIpzttFgUTDZX60o4+tmp0ka8CtZARMXgl/ukLYfui13tkQPSxZfQn735g/ZtOPLhrpyyGrmc+FsKvMC+wvvb3bTKIT8xoE57Da8xyYgAJD/QLEK8TyOPOIi13jekBhbham1alzmfd7TDIkCsh0QQqChri4LTb1kpd6EOa4QVQL1jj9wT+5Crxb7rCxPsH+GQsQHhPFZf2f9LH0AIO+35BX/PQO36ex2E+klghDw0g4SC6wq9RKdNKVhe2hPchXY0z+dHsj6a6l5AUNBVAVMKP+cAOAx+5S39cZQey+csI+t2zSlxA36u2V+H3+KETrjLfmy8RJ7qiTeKAHOlKEg6TXqjayMVTX0of1eoiHDrew6SN8eewqcBZ8jgU+A7+BO2OFeqnvyfY8gK/wFM72lGyk/8yT8CUMAMtNjPJ7BqWgaDiN/eHYA0+Tq8n02SVBv6sYgT85nyZB6Y+EK3WDRbPMs447xHtWpnlS0S6q+SP/czvBBPPTW0mpfo8tktODiOzfoaZx9JwU8Ad8r5NeLz9XO8qEc5Y3q1o4YiGM90J5SnBLPSG9tMLM9irhX1THGvVxqLMrbG/u/5Mb2lMc/6jOqv7aKuNdVOeFbxF+wFO/iz0TnmS6UKuWBsct2Df1BfxVkWXuorp8shw+MSmFxOx7/VEyleAKaDLgjgKumxRtnz7uR/PYSvJCmW1YvxmpAgpMJMUGI4wMacK2v0+0FJYh6OK3U6j1c0L5bAUhke7YEFt+AoMmY2YDotPdmxkH1UGio76/ChZmxynfNnI1E2wnwjfrOzJ0Tab3QPle6zXYB4CLNUJkJArYOrlLbAa6jWwrg0Xm+Gu73zy44VpJ5TVE3YTMW7509rouwEtUBfeqcS7fihPMNCM7vLERmXo0D20mf4cL1s/vsjas8lQNubJsPIxynlAeDH8UV9CSgYXr5SFANtVsF/7ook+DtvWjiV+cr7ipXPbIrj3wMyTJxdcLifsD1tr6mrEDajvNpgb9xXDrnh5hScdj9yFkuyC7bHDfCURIAh3tfhODYm7N62vPHEUnHcg7mi8NJrYGf8+hlmgMX41OEvBwWTYk8x1GIER2DFbh6wlnxi62App+F3Dgd8U5apHn0RhOZWEsfQxyMdikyge/bGJ6SR7VeB3b0z8xgsyCBfBYU/wqCFDBt+H0xkWgScPtBG/CBpu9Azo3naDBz1AcOkZI2AnA/YB3Pysfa8VXAgM2VeSxeFdlmHVe6fh2GTQhUyDgO/iFkEMRGay7n3abFew0c6V9JHRgempAvZpR13WW7YIhyZUhN/3sck7U/J4ZZvF+YztjWJYtBj3cKxvp2EXk10utN3l846KoDPT/TP+jhfB5P5k+4J0Ny+octgMvo7nPe/MtVXctMhpRkL/4MUBvc393L5vHoTFkLt90tbvsL4k8Bm3lV1hfLc1XjS5ZDQXHNQCbKZ/g0dsF2zS45NzauOb8eGyUUL9IQAY5PaodApa5MmW6lSYOydZWDaOALlO/DQhihYPHga3uA/8fQoczgpBT0MG3dw5yPxs5Ys7QzXzYBDgrR27O3f4C8B2jQszRYt+66CRF+ltpizH6XuZTwD2n7J/oEXZxmd016yVM9rY2/uWOfFhqGOGqYRTiuferjNdHQzKbS8n3opCxgOTzk/tTDSMwUvhXfuxFXbRHMivOzxNstozSc/yzilqZ1qgU/UD8VlFA162EpVCbQvRYsblNj7Znot5tOt+ndsyHD+H7g62ae67+TlkPwYbTUcZtyl7P7M8dzuc6meZF+Qfy8NsS1q30wJeX0BsfuIF0F2wq2JD2yXrNtGp32V53iFnxfaw4/xwaaGObYeq4PHZGfsu0Lb9OsAe7pddqUZdfOf+5TthV/m5mcqPyDZn4h/z63RD838r2rH8Vl/H1bDhpPskEbhgg9hmBrJJGXiXp2o8MAsztouleB46lvifbVyelAw7His8SXsxTxQX5ZTuw83jtGGWSW6fzbQfdj9nXZP4dfJFQe83YIQdNZ4mleSdd3nHnCfJx5wGTFHXWb1s50/6jetLZO/+XoHTSmauYpC57gBzkfIiT4fngK64vcDiB30MdSHl0YQv0iFM85PfupAphxNWWow7ix1q2/Fd0TkSH1XwLNLkJ7FtkGgGANns9K7H/Sb+PxjrW3Bmu8HbzvBl2jXZAVpmRwQU/MPEy/yDN/aU8w+kR9lXFFq0BnrufU56aImijJ+0a/PeazuOUuYP1gWxIkyAVnGb8LzwWw95geGpaEcxLZYVzX5bImaJ33knbPuEz2fcgq31TaL+SrGC/Bf97DsZ8hOYXkzEvleTDAXvE2nAOB6lp3ZMQGeYve+7WmzF1q0dM+sraxXA9YBpSZACGEFvwJk/BGc9n/gRqS3o34CXy9yQBWzUj0GtVhdm6yPCN/JhKHiNz3irvOEs1zlNVHYpZWPAyl66sGp1jklom4TlI7gQAlkyAtt9J0Hux3btq0HOQxDle+E4uJ/x4wHODsN+pju6HJCkqxaGjADtQnkZF7JfXxLsZwwndesBYVOsdgxyUt7Z2HD/7qTQcwucaz/udjijNGnnyngY9pLqdn6hiSBNMPDxGQLxVdY5SD+O0YsOiOXbLY/BZ/mvnY6JzvIxk6VhknFvis8Mr26IqAr0tAOnthv2fNrx0vmCl8+P2FVw7dvBX37yiMdtx+Pjqc91bS3wb3CoIBzPy0p5l3GcrqWOI93F/Leet00Sr/qw9WOU9zN8Eh9A33nceekqbSLhxMeyEd7RAgCGb1W0CXpT1qbkE259VXd3rOURwzG3HdI80QwAZ9u52vkfZOv0iU0VjBW05lBagKQfHbu/pMBZWxtXwrPBKGOyyH6DFofoyWSKtT1w6hNodhSsMTPnuUigL8XIq973OF566sEnBfhIY++vJnhsHJRl2oAdl3jsuJfrfMhwyC6+03s/qym8IOt8V/YG7A/E29J/bwM/emr0xAhwfHE/bKiZBpjfeAIs8XFwUPo48lFJ7KhzsuN1NS3G4SMEh66NZSHajlvZMY5nfoIwrkG+aJSDpZ7cIqzmIGufFPe+agTHdkSGI/SyumbcJl4FMI7jwpzYKbU+5MlMw8E4bqnviKfTDPICmj3RAQdlvb+lHTHg8U/F0NWkDziPXDEmWwkf0idQr9YnUsqBd20sEi70TDtltYsgpj2aIN8IHwBch/Nd4CzTDR7nfepLHCQXlUPG2NiQTtzsLngbE8aDVvW0aR57FpLBtaMvmoPbkB4gpSOK2/jRRFM+IpVPbqlVWRn08voEviPRxw8pvwJ8ZyowFtiVjnww0BaJZE+Ah3n+1CraHjXkzcGVVk6HEzwdFQxamJEKKoa9ox2fXVgIBn3moAuSgw+ksXiRni9VshdEu8Y3TMurqoh3jBQneQhwGC7A4fJw0c6oq7iypkokB8rjiBNvWr7RINHnHc2FOhYyIZzGkWRoOeHMO1534jcgBreIr/3UAaR3DNPzyIkkc9l+DLZz1kX0ffInU39HnnScq70rQPTFvaeWaZ6IxTidqduHchUwXbBeqGyKyZQqYPdM9tkXCVtcwrPy+PJiP0GLf3T/JZwglWSgt5N++4QH2xtKXTW66LgV6wPZFFDBDgVOaKcpqQy7/DQmYV9++ggRxWlT7AqoCq6XDbvQIAdbmSZj24NE7BHHkx5TsiG2gdcpcZCfbTimvULv+achy3fiarMBDAf2CAyDOlyhL53mRGXYibxglWVrv9ao5RltNZh6ebb3rB0jZaFjmu21xOzjBUp5NvzJka/xhcz50qRci2Fl4VXs1M9pYrZEO4thZvpgvVLnZbqTcSLURtVTXRlW9wVwox17n20k0p92MpHh1Bc/sj9kY1rpXxBN34KhFJjjUwDwPcc55hXyCyK/WP1JF4SFkqm9bNcGeDOMhTwIPi8GPMGeRkT9ZLcwD1ftcJPpfZPRCLjw2AiNjcdZijq5XOVnT3hCISqN/5jWWO/ucL/L9R/n94qqThe/KznBeVn3KLWrMU8oY3I68RbjwE4Zi+Mgsb4EY8hr33nRAucD5SvS0uZguyQ9b+3U8yOlv0ZtrfJkvpx8aaDA70EdhQ1c+ssA/ISmxM8VbobvrlH3ArPd7XDJJCuNTs3/Pkq5vMfSEGnBJuD5dKWpAyscvEPpxUTsezElg2cKonIqFW40Vvid70ZwxTuvaJ6+31hhIFlwcNtJkLHj2fojpTKvpGYTGGZR2kfNbaUQtKBkVmLhe4OZBcekOPufy0kL6mmqJ5XhXaujTxEfob9HwagKP7vW+ExGlgJjci8p/qAEkiLQTYIhgF6PTUYxbtRWkNpkmgvjSGu+uljpIdAdEXpEsLthalkqRWl3cdpYKaBX6rflk7YoAaJkgMk4TlDF4QvjoX1FO/Eq84Efl5jx25+VY5sM1Nifrni6ky3XNoGs2kJYeyfSXQU72mTs4+WEi53RXY110f7Eh0AYGw9GTOO2rrcyTAMpEIMFo0fG/TvDukkVsxVBxmxwRHm8T80qtNX1uI47hCouVAd2BnD0q3e+G4oO995pToUCcVQN0xYFJDRNHk79lvRn79kA3NAmlFWisUf1Mc2OgE+yhI1/uYojA1NHPx1k8VdBDjlP2c5FDlqxjgoNweWJPyKejkF+YLof1z2/Of9kcEtCeyVTub0kL/15egbFvFK94Du/7zg3Xg7A/KiEG4NlJl2f6aFAXWjHHPWt6Gc1bizvMX+G4ECmE3oWgpqcz/PTlQ3UF2ZXxkEpb8WrCrBxsmCzmSSh/9w/QVgwoZSvdMwZh9b/BQwRoJGXYawWEQGFDlrQcPk+5clBgRUPh1XMBHNImvIi5UdRxp4luMe4rJG3tF8BTLZvylMGJY9gXLVTlU30myc6Bozx+ZSvkGur5AsDFehn2XiZjMvpGD8M3soTCaxv/L6lCpCKFrq9VLX3IqW0ojmTv5jlA3Cs0wN/sGkwFWCBV+iX1E6pc4t0T56j1OyhW8Iz5ffGK4BQBo2m751npn5O+lj9+erY2hUswXdc4GlqP+uXAEv93ctpgZ97Ucu61GSaTayeQBOxOsk7AOG6C6+jsONCW0UfPSPbGZzP7INJF2pso38J1buMk7HQUQc/HNmblc50PuPf6b1PdHGAvtPSdhXsouM+AWtD0CZfTzsezldsojhtO677htNp7wtdbaGkNv5RwGNFQd/XBOALpvti5oqWfVH0QgCVdIuIu4ke87ju8EmXRnOE/CTjvK7uY/jpUPxdCbZkO5SyahK6PWPQqRh+jfRCBzI522lqbaeZBaezbGcJ/ECQ4Iv0KvwY26nhImVedZyoVRbHpErb+DQeL1NWSsS7YSKLZdWd8sl563kT9fOmjW6JedgeHZVlmZ3ryY8muVVUd6CPlvUzDSW5Gys/qM/KFvRYZs2ymOG4d6y4rYJOjeadX4DliRlLW4TkduhK6lcVv8+bNML3rJvuSaxnGeYCBxNukd5R+ckcsLJZTq/AynBUcGscc4ux8qlKYewpP9dxE4bcB0tdKN4KtxzVe4/PmY8PXsZbMD8/GrObdCJ0QmmFKx6j5+CvMKeTd2wbzGZ4IPa36rvHbGjTh/mOVSxj2Zfn4ZtfxfRiIvY9mATxzragWN2AtZfEmF0gBQLdFXoWvxvUj5VjRVOslAiTHwxHMbl66ABCgGtrzCeBiwLjTHDpXdVeh6R86A5BxE0Q8kmhudPcjXA/qm+PdYwAk0x49jxbqzQ4z8WdZ0FQ9l24bUVQD24FQ4wF8ijoK7IKezgLIelHvonMK4nNWfPVxorp/p3J+SPD1j73J30Xje16o52w7RO+O0ofFHpq96PJs74L+Ew4s7Z26wDhVzCU1A4KBjZBroZrc3CBtpOO8ZQm3duOHGn9Nlg7EGHiSwB5S3xXo8O7R7xs18FLlsd58f/P3rttOZLj2IIbJo+sM/P/PzpPpzvDZZgH4rIBgpIiq0515UxwLXdJZryAIIgLQZC2oFD66UdQelfaTsgo43mp7G1cfB3TatGWfwggF+7nhfu+whGrKvjv7y/81/cX/uvPH3j6/a6ig8CjBVFSbuXO8ZJnOvLc4X79bEcUEY2UHXGCiBJVSRyCcFnwB8RD30nsn8thR8PEY2OfK+K2jqV+GSKfAlGBfqnVqeGI1edl85L7aZ+xc1lLP7mNMIDLXZpG+99XRHwrJKJHt+OInG8J8r5dP5a3TXqVhCsWvj0K9Mq/BZvi8V8SNAyg3g9G/YDCHP0S0aSXR102XhC4V9twTkeTqwKiYka+3Rk9KE3yrHfqyBO4vlNRK04kZgF0nCuAVb+gRvhaGzFHnfX4gizJVOWLNg9pO2rs+8wnWXYEPwg6sXdaf28pxsLHcoYveEbfvfyqL08UPtWddQDW/WKCqmecNgYpchHQ6VsrfmSoY3PwOw+ke2m5DZb9nQ5UKp7lu24g8GhSx5FMcwDYZEgZU024Apa+O5nZj+W5m6wtO+a56RuxIB1z1PGIfWyDfrTivdDUjXVsPCXvlzzXO2/z9rZ5jjstu4iQJEU2uIK/E8yFzxUADLQH0R6oHhqfaROIG+jl1BHCR9KcwA3rokMrEIawr0aK4I4d27rr0YcUO4ZZFl5y3qkbBfPdZpRaX2L+eKRv6A617rJQYvdxMm3IrXU+dblLbWW/7IvpRvcllWYJrlVei8wJftS7HXoqyskk3q/CI7R+jrvHf6dIcZwYobWoDn5XK6O9rTyfaL46DLTmPVyDsz0D0iE6rXgbHfEcRDlZaIbtlMKWortz9zxWtdbfhf8xv/N6J1iaXlh0pVewk/wVsnsqHIL7S0p9eYd1rYvbf7uIqMQS7x0fQNUDXI6zXCynYfjngD+gylSv10/duH/ktSuKWo7149hECYQN13W/ONGF6xhshq4vVtxIZpaWF1i0abYS7CqE5LkoGwuL/dLb0j1PLnKnLHA5v20I/m506/L9BvANXCrrhBkI9DbcXYqvH0/88fXE//1jRcReonjeF/78Wkby95fied/rNB8/HekVQU1yXhG2dER0Ud48PUbD7vTE0WjCemRrYwPL8eu6R6wF+H3suek68OT0ZUgP2vE+lbUAiWfiutcJFzShlu7k+obPA41OeVRZqY9prukIXufClRB91YGIPPzQ5xLN2dAzL5s/bidI5tnSwAde6k2TbJCkA460746bAGMqryBbCXkyzdR8o71SlfPArvt/kFRQr9Ei+Da7YGizsLve9jS3NgCoqc53iZUddVLux0F3nSPUWjvI5329oNjxpDNPNEHdojmCzYlUnHDvkpUt+jqtpeiluS5BtD/ZiqwzeH6fQ9tc7f1iWdXmTdhyfqKINHnobaHBaN+7zVqcyiHs7fc9iz7w2HRdnsYinJZtrh71P9J1Rt2olzMZen0j10W7/unlJGGCaKF15mGFp3Ve8yoNazDVD6LHfJ0O3D5V0RzWzos6TuNFa+OgS3tWX9l0fbHjLei3tV2uECpz3OvRUs9qw+uUrU+xHlJ4/WHSSi1zPTXGLmHSMpYjb/tkXP8N6bcj9m+atskxCLtpAm2EPwm5d8T5SqAdQuGPdzrpwDQPbb2KDo3qmtBxKTIa0Hgx0VvbnzDPonQasxGTiGuJwzXZAe5p4VX3NrajqrDq9vZPNPFLaZS8h3z2GcfpXRhwjIKbANLx5MfzONN3ZbcL7chD8YnOXb3u+4DggzAfnX0936Q8DEpmKD89NaX1aKs2BbJ850+t7bpzi41yUUBvQFVw34KnCn4+H/jzfuCpgue9nkPF1pt5olUY1g6pQQvw8eJy1L/TieHRRFeCqGqo3S7GNE39VsbJB2nDOZNJMEyMd7P6HYhb+QD2kE601edX0Pcw4RnEiVeP7dajhxQSCxVlzppTy3EcTo5XeO1jQXhkHhvz2PvFijDlqXVWBsbOgshHCmRfrHoLMwYUDwpmPH4p57xA+478PoLU2NPLdatBfh/hmBLJv19OJ52g8/R/VSL+X9rzn1Nb3WA4vaNnwXfe4YV5TZM/H6feJ65jkm0TPISPMOL91Su6PsEztdE3x/h0Zee7GTfb7uxB5nVda5xvVl9xejc5+Un6ZI68xMvkJNoq0Mj3rr2jsdzrO5aX9nvIJLITA3CWN7/Q/hmu0wtqd7grltME8lYXle9y6Xf696Sy0N125n+U+j3E/TuG8fxIr1m6DFz/n44edv51gvlfLbNePPtnZOSR3g8yom96OdbZ5MRoLw76zEfz0OXLJ30edDogcZZHnPtfbhQ92t3YcR6b3XzxmkHtGz1UdhwwvL2d4zu1NirCiq0U+nO2OTo3WM/mfMjv29rGBD8/UxqqO3FUNrKKLufrdeNx3bis0ZuerzyE83c6eMAv2zOGb+sfEHgSEB1qLcq3OL20ywednx1R6uPS6/kwbY7NpqfWl+fy80sqX2TvB2WB7NA0j8b82OE/2Exv6/m0nYmH2NiGc7qvVwwp5ltTmn3DM9v0m9PG22T6xoCzodw2j5kgiMY3u6DR/alPUX7OcrYFGK+Nx2/tDTLgXfqYbt/lbzj9qN4+F5pMKQ6ZX5nTPpYvxn2qr/MwhuUTHrDlf8UnP+T/R9ptc8/bLI6+LqP49+DIDR592pyNQZ84yd5D4rXOsFHZn6DnsR5l7UeNTobNv1Kp/BCMEx/x9E5n3/j6r/chrv8IWDSev2z3ZZ14Ped9LrY5UI9GJroA5ftF+vp3pt+O2L9h8vvvrm/g+lZjmhLvPLmjVQGbAFKIfIv4JMbcadXcIvbDtRJielRfdZzQRG27eqVNJt9JPN6F4z99B7TQhLc+3XSPbIGzKFa9QsJZV+6j3MwVimHruzdE4yI2vSjKDcijE1oqu0QmRaXjl7wFy8jU1XfCbSnXcTkoXfGqRWpOQt7pKZjmQ4ImI2rJ8Oq7kwNHfpyRYu2kFcX9D6vfyaovDAc+NHc6eyfaPYnrTlfkMb3+zueCk8RTAIdFdNsVr6Ir2kORd8hozrO+QB607EcWY0Vgxp15jiscktXnke5+P5/TjCjyTkPCjwpWVJPapm/fJfe96O7554U/5Qv/D/4v/NefP6K579ujZQX6pI5fSnfm2G+VvDuWFg708iMsHGn28aXQH4Z/2z0YEfxJunCbCooaJfztO6Rz8wJHa0KAC7nTvCxE+JwgvBbFku9i5cWZ6K/XI4Fv/eF0sJ6XqC5XCnyhwO+L8ug72t237Wz8Wg3nPCfaarTC9yTju+6MlqdrvigLco6vtcO70m0c8Ya8E8nv0woFWRAR8pvxfWPtUL+A+49g4Nav1afrO/OEUWu77R0/189sd6FdYmHI7wjONhMpfKfgxrP5Dk9k1GvZIBDjRv0E8WiOStR2tA5HbDOuicf4PaJhEDyBx/eqk09D9k0Uzqf4Xq+SJ/gSvQvYacMCWZv16GKU5O0yXoI2HvWZkzkk706NaNkeZVxBKL/7wkPZLBDzLusrkefG57YoSOK1AGKXPo9p8GjjHX5qAyeO/C2OQcNrnBYBe88we9+11gcd+gys+6qcRzl99D4xz2D82bzgfqXsS7yGDHR8EAzeh+gL0bJKPTTA2/H7gC6Lfnc62KIQmfaZT4JkmdejCZ/wjlbrZ8gMi8Ao7x3HQEaPM8iCiK47Ooapzuupe3k63aUfTj85JaJMPPATJZBj1Onb2w7eUWVp19n04RUSwZGjeEocRZIPDe98B+uQB0DqtlMeliccHe9j6tkU6Pfu+vOub+aJDXn4sWL9FijJvQX/qzs6f6eWtDGlMpcqHtNOFLzePEB8yvj0kr1eeS3L+lnIiF84GjhgE6z7jZ/DEeWlQSA2wg7v5vytvWmDHhD6CrDm5lHG8UlGXS5EXT4ngWIns918Hoaoo8jSpp/ENTCXvRpOlnAYt2d3wgiXid5WRKBm37us2Wyw2xryTS4PhN7lJygtO0hL/XFCUVc0Gn9fuqAWOcv2x+5s04xmbPxXYFPH9NcozmyY7vsEUO0LYG0S5quBXNeIa24IT5QielbrO4epkJyLEtZFOg34qR2Gaz/54v7yzKvS61L8eNz4x+PbwBfgAh6XQvXG9bihPwS3CDSEjAEw2cxtDEKvZpq72/Ob7oD1rA6i07LrLvYucHBj2RbSbESvT6mM63sXjYfUv3ACEm1P+j+vG8RY+Ca2roP0ZG3EugTPI8eJr6twse2KFWQEsfffbTnCYeTt82OKXhXsY4j23cZhVEck5021VYast8sErc7Qy20dhfrdq50nOt5ca6M5snSudTVQrAkA6z5X41NuS4T94afAeF8l8c+8cMPF3vXCP8VRwLSGlg/Zd7aDMuOOt/Wltq03wvkcV21x+dADFg+MU874ruIGI/drSy/wUPrjdZOs4lP++npGl/NBtyRXQudmcGj82IYO+2UrQPzFeUUhJOy8Cw2Gth6+nXw0pJ2WqT+9z9y3pp+UNbBWn8NfykutN+zhLnMI38HfoyKC1/C2yXzDf/Alv1qMbe6eBhovtnqskWoZl4L/Xu+Jbp1/KRB2VdNtimzlE9QUL+bD6cWbRHKttx1ZmAe9yLfZrDEOJ2FUywIIG47nWN/0OG6CpPntbY9wMK9v78sYU73L1mxzsDiICS7/zpvK/wPSb0fs3zHJYgCx81KXyhEvgUr4MvzmT8wCIOopz6V+P+107gLzxc6YDd4XPOu464KOC54LHpp9FYn6ikGx4qDIKJtBsYqRkfPkr/fizjAFowGq4NSB+Wkbi0OdodT+yo6YojCSA5OURW3fJwYbQtkN68Dn+hIGOAt/L1j6ylKhwcrTojP4QRnZNJgCr2zlOPGiIve5gDTB5/lYYTjAW+iAYbtBAgeJs+dytH5/XwC+cF1rN/PzeS3nnK6KtBtyrHWEZ2NQahh2fnYp4PegDgrKqLA0drKGQtB5CeNte47hGc9Le+fGSZ/jhZcGnm0RPrThhiuue+jT+I6U07P2RnliLikuNmADnBYxYEQoVE84IHuH/Uguplebv6GkHyOCkcaaK2nsQDOtKZRJM6Rz0UpSsRrotywwdJ7WaZH72mmFul5IQwk2rrfl2X43MtgWV30s+Agshnlit9T/40JNL8J8NcYkaSFQTPxxlPWdF1K5anig3APOBmcp2+p5K9u5rgG+boxu8A/lO+yFL57g2PhPwr4ZYvqmWy/GkKfw1Ocj29C9XxO+PO9ohFK5vijkBi7DGPwSWAsXF+zO6glA7P2exoCMaWjDQUdqp2+u+hVdeB/a+E1ltz7zWDt+YoI2QXVKlm/TAXo/p6JKcxt1vFNXobwbQ0LFyRSl+GF65+hUO7o56HKAeWV8w9vi6K4G94cw/ycZ1v/padIhp3nyQjXZy9OzV3PyZd0fzav3dU8pdvD/K5Kg2kybXvVX6/3Fzsn7+VnSG715s9+n96/AI510k1O9/V5Oqj6zbeRtfI8Vu1f60naCUsBk+qoJPznBXOYIlWE8jvOI2h30xXiup7lAXXyF81d1v9D7YnNTbDDV1HmmZlTKFTfCFfqEPw1Ep5vmhD3qNJNI0Pb+He1rnq402vxUr0fDirZThUY+p1Q26avYiyd9tfzOTFs7bb5u43No40gvQz/OeQ/j+Vd526GJUu+ruTcVVpnnbE9OM6zfTbp0b/sdX/cKXujjb+cump73C2N34uWv9CxfV4k5MZT/RAS9xfmLtDlbtgxv3v9Kmvo40NpbOuoMxKt6Mf+mtYIRtgbfS1iGOfLResFBLz+ybOruuO4y6QqKtA05zyfwfTKHTzCcyo9j8xcJ951q9hf10rGqD3Bx1NU6neMz+vhn5vO/Kk18QQ9zBMj5xY7zt7rUO1/U/0D67Yj9OyZF7kzou/4VsajWU9+ZGs8H4b8tSPl9ENCyezmOiHKFwh1nbVEmokk4muPWvOOnKL377uXjjnyG19vi3dVdYY+IT3thEVvaHLkxsaNuqUyiK1C2W4MjTTi9ZHKtXjHcXN/NwGahKJkXGqDaDiPN3UIMpxua9vv26Aqr43oC4PviXgj4YqT44jyN9f2wqLcvyi/2jI4iXriSMGC4r6L1zhqQ4zDCdlSG+5KsnxZJow+1nb9C0akLBjFnXO+nqEB95/DzQHs+b3w3FztD7XeUY0Hg8+O5xlkvyV1XHMXFO3N9fFCf+Vh6uet7bUYWh/vPC/dToP+48Py6IeaI1fvC/b0QpX9amJ7hpOxmvi+7R1Aqj/iWiFAMYeg7VL99EBLW+0fCG30APXM8chs3DfOFjZZFDY5pchm+9Ja1K552p8fCg/eX6Vz3cQtn4GU0ajhSELwP58eVMeildI9seWURt0J8SVd0ssPoZUTtrg6JKF1/t0Wwt1QWO658KLdA/pSgnzVXliKjdjejz+ECD+FX1CIWXIugaAuIQi6bm1fOwdhp7Th12nXHjAL4dh5o9EXRidz+2M9hjgrhK3HKhZM/Cd0XHptAGl12OVCcNTdqUJzzxYdNK6+X+2A48/ILP/m+ONgJz2xYKbIPyI8totnv++xzievjRYFTvzddgsejOURcHvCY1rmIkB9Oi8H/fA5SG/OibOvTALPfPbLuA6/5pOGdeaqP7/WztUcRGT6PetoWFzXb6qeXxPxwvEvmuXzem6ytjbTP1q44LrlNotv43ZyRXS8MPs2RUC2pZRTHF9MQRRtfz/W73+2SlVC7d30eO2OtraL73ut+2PuxxpsjqC/uX+EltZNZX9V1p85uC4nimyCMj3O/GK9o9CI4O1SMJ8dPzeeuewuwHwNGc2a7L/duz3gOt0+5NeFjeE1vXhsgdKloV8J6ciJvdKVYdwAOuNwWggj2tQlQyjz5nT5MNJdCbx/4SMxnyDiehaadvzX63p1xh6OFsedfMuig3MT7/qw9KPRXabjXpYd3/dk0V8fI834XFuNa6BMIfcNPM1jRXAm8iqwTV0qbstF+9MNlZ9u8HDxRsPGgjacp8YnGA8L2pH70RUDFMP6OA4u0v7/MPrhSBrqdGFGyPscvzdMvWI6a56E4IEIXsk3rjCcFynUrfmqM69ptY2rgk3Q4NZtUbovctwj+oAvXqR0cP42H7KZ+wgefxhFziuVWj7JlXt1pr8udvuGLvl8/Ab0F8hMQuXD/vPD9feG/f37hf//4YSgS/Lwv/NfPL3x/P3A/r5zCwpVKeRZX2/grs3Xw7PkGfWnqjyep70ZcBn5cTtgDmqsbvfv8cT7G0anxzH7fRl8UtQ2xO2Z9o6+PI8Pb5/GkgzuAPP9CN5YC19aXLFLWXhZeJN+X+dKRUesKXmU2xQWaK9roi+nCcCG3lLWc0SFE7+L0tJMK5gqp49/5F92H63pRORnG1owYVyxHGB8H31uuCVlGicZInlLk/LbG+koXdLD6mgeVdXkRdRucPjaTXPT23EaNE8d6u4K8y1br84D5UHfki7FocDsNe38OdVGRl04kdlhuaxRtPMTyTDIv2DbjjeWjP39K4ccBH8FQ5qC0ejpczJuZ1sTsVYfDPo/rEJN+4Y8UoZtMY3eiE16/3973tWWGwU4i9FOz2CdQ1yyk4HpbN2hyK9pUlNOVTpu3i1zBnmdcMyvjP3Re9qaikaHupD0HRnHcbChDHpdHTdad2nUYT3UvWey0Y89iTW61faKH8tn8HQBw2uhYdOUmH9ZpA9J4bu1Atj2ffLNoIk+uKiehvuAvecriCwb0b0q/HbF/x0TEtS8qYVf6kMQKGFNQVAOOGSKG756nPVOaY7wo2bOHEWharigygqoJDc6/pZJXYyGoJI6ipHqLwBh2RWhnFr1N79+kULkw0Irrsa5WXqUuciwG55rMjAdFhSNC7WUJuOvW2OEKhRmOEs0LaGHaF7Y0HZU6DSLQ8J8KAtNSGqrA/aWJHyAcU+7QYqNg6mQYOQ9dY/YtZlgnAKMjF6QoPbCOdVUsA2ZE5tC2K9vDeLMhE8rBJhy8z0RCJEjkVnO2agij6YibOKLYjvrTS1JAA9WobHQoPy/gtihEBeTSdbyhYjkp4w8ox2YZXuVb8qhjVuie2ARYwYPhNLrrUc9sBLZ+bgu05KQpClDnF3QEKzujcCOc8WV8VNIBfxEwRE9s2IWD8UHPsPJuSqiP31Phx/J63/uCUNC+0W7cKaWCkeaedb4U/j3pjKOSppVnJUpygcTmPx/H2u/IFYVtcqA5znAJoHcqfUvh0uTN3xL4k4sQqcjjSstcQSj1XSmMPMSPCg66bONoPpqYLEvDKagVT6WMtvodtZ2/Ox6Zr6INmbd3UB6LcTv0Myp02WYNebk4gsl5hdF1cRofdInRIKM53lOXx+HQ7wtljlvFhvtiXMccqf3c9AanJ4ePYbqwNgwYLuR78YbtuCjHry8WMC+9iZajc8ZjaOruCKm0vOGNYGfjcavDFxFYNjR9ZDPYNt5HZXojB7jWAsR65PNebINFb1ecX/o8JiO5GNHugL2HthocYzR+0ERGrzgLl1uBh8TRdr6BKRwKF+kATc/p49fnHSdvK3RbAn1bwOnwl3lnBizxnGyE5jGXB/En5wftyo+ev8B+K+lkTltkSA91ONa201us49ed6sTLpDQWdPzzpgu0PhfYDJ5wRL1r83fa0sivaA6UBckX9ajkHJ0WSsao5ndO2A9oGMCgg76CdE68KHXk4W2+xvc4GWJSwGai7HI2Nh4Tnjc+MLT9rv1+0pH/LvOINpoodp0K9GzBlBm0OZnKWsCbpA6z6Z1l0ZY2ZTlO+EqLOBqYV3VN6I+L7EJ/pXtKWfNUmJEPcyLYUsYajU86GX2vem3N3B1Do+wY5MD2u+uJ/m7isT5vn/kptoH1vgVPFTzNI+Dfn36lzSsPyTSRQmA1mNnmbfpN79vptQCxKF/mF+GEdcS0dyiPnut/S9ihfDiQanPLjtBlehr0jEmnjUS6fOi2fXyPjOsX4AdV0WmP4bPri8IpzNm6o4vAA1Du350yrT5SX5wnnnBDlQd+upPVnMCn9RnPt9mJaO/p+XaCij2LDbUH/vFOF9yabfWw45X546QvnVKhmxft/qV06o/Tl+tqb1hHgUGRdv9p8ncY+vPjxB7KMX7b++1RG5/gqVLz+LtY5mCZpPM4b33oaeAhyngGtjnMMn7Dc+nYANc0X5gevRl619suaye9yQ9oYnLKrvda+nOS3UeZfkg6jSPwnpaGehaeTE/YAJP6/eAQrZVy+ddtbzp9e1d8Fl73qc4XcBX98uV4pm76Ma/p+hHa75DfO4Dj5sy/yuP+D6Tfjti/YyJCLOfsIxXqTZAIVrQPduZyVBi6bvdiMksrty9aKeVfja6IKR3rnMqtwjaJL0kj8xJA8nff/e8wlney4CiKwSTQBdh2bHBWF0K0q2QtTBjDJUELd6BBqVw2moIkz81fDiGXrg77sJsw2lf6vfDbx8bhDcWABLNyv0GfimrkeJ/tM3Yxf2HdERl3yBHREI5jh2yMxYFROnzugLqM0T6SyAo9h8PP+nOb080iOsPBNHG+GICGA4ZJSRnQxEfZjdsUupeJ8Uv46A4IVzzcgByNHStzmTHtSpI6/n5e0C8fyAM8arTr0Zo8RoBFZmKj3VLFEJ0SO8x5wW7gExteHKYnYpHGn0W+rmjYvUKqtqPWHDDwiOipfsVa2LkU6+5byfuzuE1t5T0K2DcwkIaZ98hIlC90XxQL52VYAxb0rmUXvF71rkKHRQkPC7eS8BKT593L/T6Z7tjVB3D/SB5W8PW0Y6e/1t21ACKiQL/U7lqyqHKOgufkd9HYHPUI8DCajebL8aVo34Fc3BoUNO4PkPyOjQc31CErwldaJOQ2V3gzQpvjo/FGkexxPL3PY3/e7/0kuNkg3erGwrvLlCA1u6eqL0BEx2wujPOvs2LiOeyg7PjZHLnUXNDcM/OWxTAMsDgJO10y3+t8k/lUjxph/PH81XWCQLnfUgY0k44UTknup0V3+phO8J0MaxXY/LAHbGBK3m/cDdEiGwngMg/oeV8AKJG3MT5WgE8HIXgZhuvPpIVtAZsdsVz/QX5uC00FQdQPhsnHj3U9okPRjLb135OuFWX4XmRKky7JsKLJQNehermTIez9Uep1dbq6DAGOjp1TNGhr66hjkxxQSNGR+ZN3Ni98SZE9m71AcFS61IzIOxjN4eThamgzp59g8+5utt8p03JaCzneUWXhNHbOY7qMo2enheJ8iJl2X2wcGBddtb7fHAUvaGCzP7kvw4k4G6gdfqa9N6nXHXZW4G/nFQLn0RlxDlS9pzhhuz4LQ3tf0BPa9CArs5fPOaqBy02fYl5A7ZDau/Wjy+LgF6RTsA1ZTlBxmXrRb8cdXWmjQlGX9GyTY8XIIlhVTYZJZussaJC3CF40MFttFbTvXVYzzYfMmuQhGh1Q8+UeUtS828bLJpv9CpllL1/4/vML/wXg/7EylyhulYiGvZ8C5ahYIHfhsM1jG33DFj3NW0NX35jZ8xXZ7XoHD3X0i+rwvKwr8wavPk5UN/eLyafA7u0pYuDU17hswuexx1Rv1224ER9Yypu2wP4Okneips6sqZPSpsdorrWf62T2iuxN7TDa/Ymquek48p34KQ3S7Xevkg4Ggd3XmvM9NmEQz0DollLoweVC2GZA2kBlrDJ/oKLxc2E93+mM+GTR92kDfKy7gGimy7ROO4x/ZieKWHNx0gr4tI3JJC/lxXhI27gSoGmV10yv9HnUFxhPXkXj+Q7/Vhb5vjttT3QbX1t9rJcyX+X2ajQgtcvZTBzm2m6dopwvG8eOc23j2PHUx3Oop9DHQE+j3HL6GzbFxnep43Jcn+vlvRyTjLb+ufyRjPcY7WDuA9O5b8y/sTZQ0/xe77TMpU037F0Qsch7NERVPIxjSPk8grQ+rwW2OUrPE54TnJU2IhvzDv+NzPd6bkraXHEyzSFvh43u4GWc981+tQ9z5zadtcyjPpH9OTZY+yZt1+f7uByjdS9sNvz/RPrtiP0bJkEKBZ90etkdHz3ji+/McMJucP3OCbwrV0VA+wwROwZO6/EBvPOWhGscwwCseySfzJUIzLZDQ1QzkpUWAXViPBNzKUqXkNIgpe8dT/498gzV746Qxji9jCAiRe4vqYoAt9mEWW0s8c5tlz6akrGMUze+lfoooyDqgqMoTd4nBeJYOtrJrF8rOm4dRbn6dD2tmR+MIw3jzI3u2j/syY/OdQdsLHirCYgUKOqG0HMZXfJM48cjFN15hGdzVCgfb6VBIwsGGNyk2DPe2yJ6V5InQZKGj+1Wjx3KmgaVz23D1+2RgU+0yhA7mtfRRalsyFPC8Azh2AnLYXtiRcLyKzOO/UhJXMhIUZ43gjhSKJ6Zw61MJz5OpNM3r0CwAinA04849QhdX0D3xm4hp5ZALuCp673czfEiRO9K89q/uCHGEaz+vimNORYUTct1FfwWrSPfyaLNciyaIMbRF5rULQMbv3FBMGix1oU7jznddi8/KnnqQ3H/Yz86QFSg36vPHm3uXdFLgT9uyEOhP6/V10uBL+qnAqrXwpk5dHFjHcUejaMo4M5z2DgoxkLfBc3z0B2ejZcBCMeo3315/6FLln0Dlx8TzfNWaP71RVFOXj/TuZWPBQd3+P6ko3K7zOGjypvzWcv3VfC6jQd/WZ9apNJNOOjHRnE6GrX0p9r6d3QImQwyPqCC0DzLTufe5jX8JtbVd8VGnl7OdZrvzBunDDBtMTyBCOsr6zU0t4u+5HKQx1ZrXk5eX+gATzqCGPks4ACSTzkP43G0Nq5vmtu0WYrrCWc1jaFHjqrpCfqQwEdZGMJyxAJEyz4nuH/POj6Bv/v1bt+y2EU4VBp7mGF1fSMX67ys6TYsH4uhz+0b/u8viXecygaoTU6R7OAx63Oz6VNCfQk7uNdN5R3OWDhjQ3NyIvFxmB3Pba50HsabM/zo0NLfoKfUPeM76hz1h45DjsIN3ak5Ul3nHw16obnl5amN3+l9Koub0xwkvBZnEM8Bxv1UxaDe9OeAz1POUOGYFk7mo8+8vlrHtgh0gDv45CCDsmIUeuPfr6JhtZdt8AQvKDLHjrpFyrloq53gcDzOnFRQtu9Zd9LI560t/E4bTbneo67Q5WZPTQY633Yb0iNjIbmR148ADh5PBMXHzAJIhxDbhx3IoGFDABOPy3Pq56YPeFVKpCua9Z7SgbaKLstrAFo/S9Gmj5bnaH0ACs8Nm5LbvxG6XGxKvAH9eeEbX/jfAK5L8Xjc657Y5wVVc8LyiVZDH8MJG1dSWKfaXI++kDz0PhS0nvSGmJuZu+sQGp+yNqj3TTwFppyUMvXvKYUwpCxwJ035xlxRmR2hvcmuSHDfmP8wzTGtcD0+f+w0MaFFLhWsNQGi+yjT+3AdkB7lEOPl8uV+EO4Gr4AKts3wPseF6uZI+AIjHT8cNo7hIPX63QE72ohT14heuK+bSDGY+lHm0Xe0NtpY+e/Oa3NdaIZvS6d5MWUtYz5XxU41n5Ov2Ntk35R3ZCf4OoS/43xbuU82O3W57M9ofnQb3hNv5GOeWZLL6TtpbAPB65/GusNAfO6VHbQ30qpm2+Qke7u8J1ilw3pRXS/mB5cvdDH0nzcB6YWyYbfUyZuh6fQlb8c3cceRxOaA7cEvJ5g3nuvzuctGKVnGVFQG1s0OBUb94UXd49qLwVh0lFeJg7f6hlkP5JqcyGXDItXzAez9NKV+3WNmBMm0zFD6ObXZ2+59eMF/Nl3oXZl/c/rtiP0bptBtmGn44lIX8lxOhu8kFE4G3TZphmOmglnSKz5yrUwEZpY94qAolMMuBhbMr7QDxsMk7IdnxUGMxBHvxD0ZZePixkGIqYg5FGtbZcHxILBWJTtzVGtvVzR1x0PsgFZzKuoGq/frYqHofeowxY5mTacHEIu9rv/n/bzGoB+tTsn68r5J3dub4GAjwow+dx4iDHTKJ1lOXROelKwm2PWqO6ezfcOD714koeJRTVsXeH70NoffJXKrK3agPN6d2xUgWYanmDM2olNt4ruhHP1t2og9C8WLBaaiGrSWIRa01aId/X1XEl1J5X4KoA/FdcvSDQr/kOoYcOVYyKhsi1VyI+5WLQvFDj+j/AZil5g1HNHawQMEnS74/ebZZbr2hieFRhER5MVxQspxaaswW/4qcTWR3ykW/IsUuU3BA+HOF8O4Xw66KMQMY/3SvB+XeIT6fVhevzuf4w5d6y9Hu07GGRJeUeybD3oiGuI+imI8OY5hgdcf882iLBpMmwzj953XTjKAnGSbUt3lB+PUZUSf844clTqmIJlCTmydsVAXH070eRMc3s4gD6a+sIOy0KvjYGpzyMv9elnGcXCS+eSgPxoY25xr7NHfuwNWDvUR7fE4Tutupd2TfuNzpqXR8XagwW7EMu0IYMerIxf7C6xZSCd4XP5o4mQ90w0mN4i7Iez9OTlmgeSTHZ/decv9PP4GsO2mlTnbJCJrPecmtqwTrAwj6ytAhe90FOsHDW+LGLa4Uek7Kyp8g+Z9p9vt3kBCUIzlC/44t+HHqs7vP0L07xRycP0Y3g2y1+9W5sW8zPDPw1Ro4hO6VRzp/nilzVaJy+AmgF/NQf8+1LWXUXQbYVtk+wXanWxh3pzAfC+jzfMZyx9vc0R3m18+LqynTM7Z7XSVT4aBdCC2IeMZy1pzyMR3rmNKwTdfIHffGbD0Xov0c5twOSllh6nDoIBA7F5YV6gPXfd3jjttz1E/Q0aAZLegkGbK2NrOSU8ofN7XPhRxFY0+BCoXntcD97WuLlrX1y07Um+pm0oVWak7/nyjpWbfQo50Hah9qqBcLQOeqi9k+aS/jlFurb3Qf308XD9k3YPwFOsGDMNB34jo2FUwcBCkM61zTHrrUPepzUKX04Sc6mecHBSfbRP1BSg0bAc+cUwDgQzLytOvBYmrfy6jLXbA8lVBDL82moi/Bmdp6MwWip6ZXd544V6Q/hie1v3tjmd/L4N8pfFRarfDtSWt5YqcoXYmeR9VcFvcb+ZTE68fxmjjmwfcb7qHyQN35o8bIqjNzS6lfCG/TvLJ5WWX0Uje8c7uL3ot6Hnjv5tD9p2snPDlZfn3IC+K3HjVBM2lUQYdCgdPP/CoIld08fNtnghi3dTLlHl4tz9Frlm3fnb95fhu6gfBM+Udecav6DucWF4B8E08fvrALznoX7VfolWngjR4Tb9cfELL7yMtnuA9EF7yghWVu20O0X3cevsy5eF+vMKh4LNNHv+m9NsR+3dMjYi6sj3d3cATgsuygyzqRnumWU6eGtE7Xs/1BPiuLGa066iU3LmSd4NpRsI2oS7cphmgboTyoqDE3ZrOvJoG1XEmkpEqLTqQhSPvHPF+RvRAm/xxZJQ/umSc4H3h+vaj1QhlzEzvR/bzelIkBOVLR6uURTVelIyx8XvRJBVgeWLd2Ut1Rt1xr1p9Hn1A4uX2I4kfKJFA+lA8fwzc8IYdX2qwP20X89dqTPVazJmOH64KbtNaTVGXS6HPK4+U9SNRTbsKZh/RM9U4csCViFEU4SDSH7qiaZ8WEegCSBAGQzjAWHH4Nhw/YlJkon6JUtuWbykyNn4/aHzMcSVk9K+jZNfnGlsxJ6u2e1SN8MJYBu1Y3ofL0ELOcWS0Mxmr1UCT5EFc76CoQpDOYFHcdpSwto0RUOD62eDyBXyKMrz/l0e/2tz2Y5YxCF/TQHN+Jp4WTiUXgDx5pCE5ZMuxTKB3XrHvTIYpW40fBA7cEfvDHMAx16XiUJy2kUpI7E7XEqUEB8PmpMPWx0YtkjIWBXp0IaEh5u9DIV/LOxfO1yczNmvvJ3Jxy+a8fEs61p+S0W39aGCrTp5r/CN6osydCt/isY4X+/Tjo9kZf2MZB8Zq5M/14v5hfSQ9Ncbie2dH3VnEu0s3A802D3yiCG781+ZZiWwSO4Kb7lqUFlnJxmTU2Q1MkJyy7yVqWgAw30OOBeMidsPzpgmb288/1vMtotLqj80jTAcWpac+n0JYoX4yPfjx7Oi4yvb0AeCR/XT4y1hqNnlTFC9gG2xsLMZNC6jTwCPsI0vntQ33XL7nFepzbL7pBizJrm0h5Zv1ivXs/sooU/AJBnwsZIfH5k9EOiNhiGsSfiy9K3cyo8gSX/wQftZRI71vi0fdXyaLfjLyBHHsKaTBRbuoSwPUTgjKWRjmfHAeq+jjzpsWu5N406XU+nMdjkgl+bLxRObffZNWa0sId32Rspw2M8FwSN1Yd52J2019mqYv88ahvy+/Mw/8nT5OsQkCu0wbx4L4ReEpTbx7Oi1ufkJO48IvlfQ7VCc5dYT5F1Lc0+rtxwtg43mt3BZhGNkVEY3g+iHD2cqkDVcbcpXUbWlvl8fBK5cbuODHeBL+dEZLPB/qKfc4u9wU6rPnA1K3orkdnwMReB31WGLTP132uyPUdd0LRSc+2yoUnThFYHWFzJjS2mQrptvnUahFR/YTAQTEgDvuDhRPOgU3jUluY5hPNkeFZCvoiPZNHrCOq3mcO4+Hj1feESuQh64Tka4Lqor7BvBQ6JfJu9sQ8JTqiLXycPmuYjqSZL/EYN9kIOUh2ON6l9vbHkStth+3VL2ZaNezKOxalMbAlp62Nls/3fZz3YT1TlkRteGMbeO62pHsg2BFbIfyafPYyzidsnzvdqfDT1HIvklYXLF0e/ga8jeCCr4Sc4Je9HY18dM3w7J+rfb7ntZ94HxlzbX7R3v5tWzeFUWtEQ0fejuw6NL1RCF5EWNkJxkZnMVWorz+fXIubI4bal/9vdRihS/A52jDk8813nQcL1vbPGTNthgxS7RT9C+p77ie7FB7BhQHaPaPTrJr/KPgl3hMoJLhOME/wKAP2GlZVD9o3Hgc7DtHYcZzyTEadUoe44anyXb2PnX6iTEmXr/xIq+ecU+0E+8+TTzWnXYdF9zGQTx1m/dos3DyfFO9vH6nAK4lrlQQwRuFfqyuy06u6uMYEbHt1A6GY+vLAC9HbvIYiiL0j8JX3uCA1+b7820ch2sfKk+hhy25mImWeA4e0mn9oNf70buGOwD1VKWNj5qMM9mUPFIqvdsm25E2Cf9ielmxrXvbL3DR173+k9JvR+zfMb2beK8YRvt+ZFjHtgXbfZ4fwrYxyqHMx/B8wIS2+lnYTpORBJVKw2VXlLT2oQuEcND2vrwZmxNqY8GLowIOZ6lv9bKD3OtiXHS9e1BUZMjHdeIwnln4ULa0ZZJLgB6FOBnzW+LVHF11CGihxMf00jc0nO/KjZwKjDtLe98nRe/Qh9jpPvWvzAu6/4Xeu5ArZdp8cl9tLgSIvZPy++1CwAvewnkEO2lGekHfYz7Cy1ujqePhAN8GB02+sjDFu/AJKSq2YMPwfMKHorkXdzMc+hFlDmmky1OyyO0gHTJUgi+4EZwNVCZgTtjYAHETsKU/EvNGLQI/6TD/QhkG0kjV+imUL5TXT5LTfuclrXt8Z9S0cBnH1J342av2McwnJZDeDN/bvuqc58SzFQgH9Kv+bAv2H5CZaP307yWCYGiz8J1TO75Y9krenObVp+kAW/CFT+rscrPRstfZ2+gG5af8hecGkKJ064OLWL/vBUO/XrSx6wq6FmZZDPV+KPIOLU4DTrwdtP7U7wPi3fnadgCHM+RX03ZsU9XRfoXdepmPdJix8PmVEt6n+f9LCzpb5S/afyFfT/rkpFe+nEOb7p2bPf8Tjem/Qwo+QWM0LhgdKyD+TGV+dT6cYPs/kUZ+AZw3PpTC8+M4tnvT56kfv8h3ouxwx1XNJ9s8K04Vb17fj+2n4/ZJXS/5W5eH9nf6nnYgw7rz5NdAv/quLbJ2Aa/mAIqNq8G3swPHo1pf6SSR5zXQo07Q6z40XxaUJbvJG9TLwmyvW1sdLrfdCRqOXNnveuU6FamntX6EHnhQfncdebIphs6/0QfLRiYkjk7O9ITVcZL9KTh8oXse1xiYrsL21vf0/Al/pMEPJ21fXCJF7XQ6TuRoRTf91OujjSbHjbJeVDSOHGbbLBzWZl+XI8YD9uS5rPNuOuNpvjS9crSbJloyGJNukk05DtNWagriKz3qxfO3axuKjT+c1lXfpl/QTV85uQpcL+j1COcEw6meYe4dbeDeRuNNhc6Fyk2JZdkhS8nAuO399ikgO9m8TYf+K7CdisAkmDwtH/K82XjkJ2ngCaXdkCUJhArSgUs65RjwFH+6t3Vis8SvT3N8ei703suPef3dQc876krU/2N6S1xvktnCx7Xcj+poIOn+/Hh0esyhoWH5EJ7envr6rB5x/oqPFafxNB//B9NvR+zfMPHOxphofjSe7YKN+5jYwPHkjIWOnAJeT46yyPeoGZfCVBWPsnN36oPQXDBG2e/nqsyw1h84uDis3freHFthuF6Jn9KGwu6pebErA8gdUR7lAKrP2ry+tZRbALXq2vGxJY8LiNuYDd/3da8MfcxFkVGgTWiU42wtXd9rd+z3P6TA1gVWF9aOw/IdKzLyJtjD2cntFmeoRh0rv43Xtz186LpTkh2E7jRsyntqw3bsbpH8Vv5LrQqtY8GM3tsoyj/A98/KU1akkN8dqij3DHLy6B/A5guPq7XZ57ESnvSxjN2y++u2XdoWLe2Ro8EHYh74OGkoNrwb0KMuQ/Hq8BsuRJQiTS2D7TZWoN4pKijR5g6POh6ZLrtW6EqZvcjd2U3QKzbBX3f+Lvwl7dOu9oIT2RWIpjXpl0J/GGK9799O8IuW5Cdsdy/yzmGLAvQd/GFY6ooAdVyq3JDvK2mv9GfQgHjRL2jJHljE79tFMh+TR9anAQ9Wfz3qwOEwg1l+3NG/8HfIcsLG8WFx/LANBvcv5k/OJed/l903G8b0EN0PqzKcWo1vsjwJtHX5R/iLuSmIHbcxb4C1895h8nll9C7CsqDR9CkqbZArb49Z9qrETzaguuIlVmQxzf2IB5G1M10UuP6UkHOQnBfyvaJTeVEj6IJ5NM8hEIkWulrfr59S++3jJ0BGCRAeCt+md95Poy+Xc2HUTTjtRpw/J5rpO5uL4R04RBlbFh0FB8R7ysJT8P6ah2nQd3krve9RoWUXpxCuPA/RcumPi0/LU64YoDEruKJjzHnHss/T4lD2piLaBqkLNX7v0aplzjguHHbHs4NGY3R0pND4dIOY75+siz7WIR47xXZFBpdZuJe4916+FdcN8GYxdZ4QsKSc/yT1u1jzOcFtUVoCFF31tjF+/NRoj48iz8pe4JLb1eGZf5cFK1/X0U+OcX3Hr0sJnblE3jutda5d2wi7gMsNRX6nX0vjJrtp3Jkfejk5lykRI6D5gJ0nl+ZZzpfv8zxSQZ6o1OtmmTMt3JW+DIrDBtzwfZA9Ya7Q53Zn8qs5JoUtlffJrnf56fVNtmu358bNJJJ42uw/ABmlITbGpgAOdQdrNXk7LcgXe9xOUrp/aPKPgeccx8h5rSAdhmzDNdnGp7KA+Hcg2FRWtxG2qKqH7vcJS/t9SjpsIot3de4AiTteGM+qJMq53ASQpyQdNgnEZkIdxsZ0iesbK/r1pqnEayOa+aN9t8+fgx3i+OZ+RAQMrWcI2tUlUvQdxgnDvOmOLX+hJ9J9BNj4oCjy7lRfQ7sldSzSDV1P8eCEcHi6Dud2Y5HnWiJUQ78rTMthqUEP26lI3C1vX7DsXrc/dc1fgazIyk6z3hFPPZqb1ZJnTjdOt58IY/NQH9hOdPKmxNZp9KFpVzvevu6Yx+pR0zy/gYwqfiLWItzegGdlHbPrQJQvPu/9eYClWPZtkSn23k6C8dOugvYMb04nx/SKrzV5yDYkn8hT7FiGm+um+V6Gnxk2qG5t12lN8+c0rzDM0TfyleVQYcuvZEjj72WMu2wknHX4hBEimPc/NZoQINfAmuze0iuZXMVqzc9jcijv41zWTvTM107wBC7I/ozn1L941jq6rdsLQsbzHBAF5E/EeLh9yv3nMd/s4kFGbnQ2yLVJN5xowG24l/paW/sPW6cPvja5xq8uKe+Pqc2vsj7R598w3uVY4WkSDrbXST+Znr9ywnZ7NtePXO7n+w0/dDqN2388ZxZNzchzPXazpx13D2rDbdJOv/8D6bcj9v9r6ZXQm941Av9kp0JZcDRmXXjdh3Q9tvWLc2JkRkVwMpffy7GgYEYHTMwVyUBZSLU82yLTKe8hxeIiDsz6hWK5L7Bwpz2Tfz8fhZf1Zl/KoidQ8B0G02n8HBUnJ5NiObVck3AFXFunXuGxty0OL9XpaRPo7Ug9WeX8aMNRQMmHtB4KBeG/NL0ED+vEDH9mdAWaYLxSKexzYR5b0zabMhjFSDlh47DMl63O2p7Qs02J76n30WEYFi1e4rr3pysqXgEDV7S/AS4+FmmirReK0CuF19+PUa6nTnY4Cl28ccL2/N6OSBz/U45+Y0eYaES9+qltzvOFvVPehkoa2FO7dsSXL3BEmdavYqwMyvVU/yaX/D0pYlynz98wuImORbEM1UbbiZcBljdpkyvc13fzRBHHwE5GljpcHUbZqysGUAzmod1WV/BxeoVuvPiY2aLm6JMaZPX27sgbap/LuA+GezHsdce/t1XWZ1/RGsnabiAUWuJqpjH3fFd9dqSt3vdeN1BxdyxfO7cZdZ5d8vPIXxS0WO2yohLdNCZRthYt3186DXsaeG30KSKC9k6Go5nGlOuA7M+LjBzalUP+I7yHudcN1vKcvpedvr1ugutVCuP3kK87TDfYmN+QaO38fKc93er+pfQLJPI7vU6TI+9X3mdGBD/9JI0Lo6d6ucwH+f5S4vk48cVPorHbKUS1AntFuscnamDw4YkvE8yvbPhS7+n7q7TJsX3+Lt0JoWpPvFWF/ugkFnfOTbb63pkBvK6TnvIzIoUJ1pjXVZl7cYRMevsGyHtYPym/6Syv8pNOtTbjMfwyw/BC34hxdLucxz4GD8iTlT6c84Vmp0F8UQa1jd3GswzDRoGpzjVt6ji7PiBAbgB8lZT+evqUX/rnxgcE/Qoarns7CWnCh6I4avu7oy7+Spf0IjEvNObvmtPDPBSsU5EE9dobvlKMx2/oRzZ8mBuNP71NH8qU/i5tRNB8+KBR1uHJduk0XWyWI0BSf9J3PYzppLOO9tmvpH+FXJYdrlLmoCOPzXScCv3QGWdbmx/I4y39AoxbGy/m4TZmJ17GepQ//kAX6DbQqz5sdDmM/arvEG3vMBorUlvT6Pai94Ht8VcbcqPA9O5Tfehdfaf2TdRMNuy5YZPQvyIvfzFVPuADd0bGcelxeL4FyHzA+yY7r/gSpjl34u3DXGMYPrIr/zLD+9en347Yv2HyaNdRkBOjjInYmLhHR0S0ZF9IpXrip2R9HBESC4+c94HcWXdU7sSOAOKdI3RPzwGOtJ10tfuEMbWWV9L4KIazTWKPcoDttp8U+psXSOH4khWd9FSUe3S4iYkBMLNSqf5R+t4Xdsv79qnT0VovlR2xckvR9Z0mbKQVvkd6e7kD2DJe33Y/rNGRKGoUmsPqinngwY4p9Qg6zzMcB4hLFy1ZtCMmBb97CTtDZ1psNBJ/l5pSLWu35eX3xwIQrXcAfkvQjO+KjMVQXnTe5lCDk99tO/x0fkdKjt8DyTTjX+8f5mD7yp2adfctigYufeDd6ePweh5Z0dRi96QK98fHERjvFhX6Pt7b4goX76o+GYn+ujvULWJ57W4zpmW7ViF+7zDdYeN9szbvL80d70+J95FupPEr6z7aAqdFX3tfwsHJkTyK5I+HRb2yoGQw6EPzLl1F3lMrFuHImwmaZRf3eirNB39tu/zVjhrOhSjv87r/VQW47N5mfcq6j1lWGf2+IH9eK+8fdyp8EVm3doL7HTPynRGxAMki5n98YsNGo/VZuaN3UIxnJBN6vZzN6bIhg3YgL3yg0KcW3FZ4yhFB/o6Mi8h71Xqdj94tEpV5a5HH9Cx2qLt8bHNJFHnXlkrcw8N3KgVOkP2aHCyJQNTITEmcwne0drgA2wTQYCR8vlWWtY4fw1YWupHwu95UHIQULTs202jCP2+rpy8A3XRndbQ17NBn+AAE75FvVNp7tjI8hTsf5b4zrQUeJOfIrdl3pj0Ws1erC63PXjZOMqg8kdufdjSX+a2Jr5wfYvUoOj0E7fCcjL4PghbI01tY31BUnFIShempgrg78FXiucAqU4uOC3pEm29I+GORpG/iMvmwdCmvvwIWkaSKzVDenLdAONDjbl+KcOYdzcCiRxUNPTpsEV0nrgjPcYFdDmVbu0hv9YjqDoeopn7j90+6Dub8aOCxv9M5Od6Z3xZeNOhsK1PS5uj4oM++1h/vYm5qzsvTfc1bGaITp0+yu47OxanOFymuCSn9WV/4ZAN+vreRtD3d29nt9It0gqjisGHT6zyNR8i24JeHjjK4wyaqsigLkiXWyOqP8QjHT5e9wykNZT2CZZiAZIym3GRbz3ndpRQ1mfwJXvaSqKMgxmErz1c9frpL2XhndkLabPbbj09Fu16k6wZA0c/L/IiByt/llI3beT5q/YPOtco021zy+WozBY2g1eP6yhdyQ5jf0XkDa0XGNyRfhRjkKXnlgLaNs9zfpouEg5fpKuQ/T7IG65B6m9GOt++vmB6JDhj/PuZ8Soec7DTCpcrCxdrbrpW+2Y4ieol6Q7bOHS2nbrQ1FH8vZq87nHkak1Z8en2Mc3RENdnv1VyoEbVc55fa6VxK7TMeNO1dyXzytXaQq5805WOpiadVTtbmXkU9lcxtFrdxHOS28a/oIm820bx1BjJOgKLTqyxbSh9OzFJ49WldaGzf5muP5NT4fCfM6ufm1JjaVO7L3mcX7mHDsT3zbp66nOlztbch5MDTXA9W2xiz6dWOpy5fqD9BU2/wEH1yWA8oVpNXUV9Wn7KT2ol++lhOthzTCD93ecwA9JMTXqw5bl3geeJtTjpYx5HT0RPbmrdepjfdmQfAOlHP+lFOqwRiba0c+hi80etNHhun6/Bd9P4u2eJmS279U6rbx5pSwb/uzzc2Tb9D16PvxQ7d1rfzLvueN5y0L+ZVp72e3tqpkfHN5AXBoTs+JyfsSSdJulac7PNXp9jUdlsZoLRZYOio/5VN3v+G9NsR+3dMzmxQJxsbSKPCxOHYTqTE8E/lsjwKEw+ZSgwl0nQ02qv+EIzZH62wDeWWUl8nNTu8+jGHsVPHDWZbIBqZAs3hUEaxsvuifCxaTTtOQ5DWMfHIgzi+wZlwY/wKpMOYuy31czKke16vc32RXOw0Y8HvGh109xDeomasel3urAsnynLubsouKxp8R2S8o0abUiYmdGu0bCMILqvYO+HzxR26QBr+bnx13N9C94NyGV1H4lxqRj/qH2pd5fcLJX9TVIrCmv3Lu/2sj3R0VnYgxySc5L6o2Y7amqR1Qe8EsxkZfVEJD5LprdxGUq7MOop9Gp6ip96kWMR3OnTeAFmL6PB3SMcXA9eVYzSa4346fG68O20BYSwXWvM2hMrGuCtlkZhrtWNImvaNM6A2HZe3z2NtR7MZf1MkzTS6DePZjPh176vYZon1fUXFKuS68Xw+7BnWkeDuXL2B+yG5GBALEclMfZFpO5LWWajW7yU5fvpYTPOwp47bKTkuiyKNfZMFwdz71d/F5hR/NcpmpLMcyf8ZruMiguOOcOH4k1gMRKnQaUcIdx2ubaEMKEbTZvgyL2oyqYwT4SkWuAV1fATjsVQ6wDmNa582JXvQPNJopHZc1m+OMXb2o45Hd7LygjlvpGEaKQs0LUkczSapG2iD4SBvwhilNkoeOXxv+YKnUt8jz5146vmDtzXnBS/w98Uppt1RZyR6YL0ndShNQ3zq19BFPr44XvgCZHOGiPKPVhF2mIszU+p4dboada6ujyrm+Yh8OOp6L9LkjC1z12k34K6ngwRZMt8lGc5jzQ46nxMFxmHccqNZ3V1/PKbsd3qfmL+yDH01X5osjDJcX8v3Cf0xjRxh1RzvYjf8ajr076PFKpcXb6LTjxHioL4WfoLgP0sOMzIbCB3/p76Q043rPx1Dx2wt4PiQLqa02QTO+5ps7/xQUdtSduSgfR7kXiiMgt1ZCy6TBOpO2C2ft9NtwELvB2dsZmjyymA7GUfSUN50pnhG+U8bwctCY9fFuGmiqyI//J0z+FgclYTLTrXZaGboYscxd6nANOlC8+PMz21Ous3EN2hYfX76xvuig/gGwle6mqFmbQ4Sohl9iXvAcf+GqQ20d+rPy4jwoc614D8UIOEdtolUOez1xH2v7oRlfSCOBLfxNxtT7G/Z40qBGzSfikOW+mkKRejSkzOl0VRsJD2whdOzaLPzMNd//NP3Hl8VfMcRBHaF0KGNKQ3j7nPyOMQ8F1jWHNrtrE96+Zah2MO9zXfplVw54n4N2tIfPxRIB4Yx2ZIFNprj77pU7G1v8x1MQx2pW1i2tp430vLAw9/qRoM4+FV7YWynswPGL3jaTMzPynTHngX9sH6ytd3xQ+Nx7EvM/SUf2Sap+fIkxFPfXqZwCgK8mXZMdOXMVo2V+0T3m8pG/QTTVP8/k4rTdMPXP3naUdSDUW/5rOz7e9D/E9JvR+zfMQliVxJQCbXc0dMMFrFjdd1ZEWWtztPiRmeukXdjylbnrbTA2SZqGNVa7viJvAByl61EuXEHw2F+vbp/KneHLmabjtRzvd5P373clbqtnyyBgG1sSnRTX1g9KevYmc9m9A5lutF6dt6qwdMcbC4IuE2KRohnE2MU5C5Tr/LxAlg2YADgKcvx65GJ9qwcnUp92DXgZZgI7dqON6Y4a3fIiabMYuXfy6Aeq1qiVS83WOyPI71Qv09RIKdUnLM2Rltq48s7EHmOx85frp8jK82ocuNMfro2EICG8ybO20fWHzR8EpRTlG1XxL5zjq3+Z32d5rf5s9E14h6qxd9Ww5sS3pPBJZfsOkzYjJp9bXNfxSKqaWeyPJ1mNHARcBqN+9j4cV9hqJsDlR28cS+tpwcjhmAVwC+4X/yOJyRy57sby2pOWMA2KijksZywqgK1FQt50MBdwP2/7pgHgNX7vILnyy3hrPXoy7Ixg2TQxFPCnzgYcbFT1iMs+bXVFdGJ7XkYQt7+NwCjmcJzLR8vDMe0MLqOacxsTwaYgUrLvNhMfSyGWZMPUacvAhA/4z5DNY9Y0wQmDBe6f7Y4Cskh3WXZdpcbsN/LRnxQ/b2X513VLk/8PfMr1HGK54SfTxdViqEmKIs47PgfHbCK6rQVwo9H4XvEbxROWr6+KaJ6ks2a9SWDHPrhdHU3vtv73vog15DHv1xRU+Bg0wuf9XehaeL5Zawm3qhZpDTa6Jrfh27lbTa+MO7ILTJl8b5RjypbspHfh3aC73vEGd1d6u9DHrGMDnnR60sCGJ2xXmeTqcXIVs3FeI40pLxB9z0CdojyWWUSkIg87bgLnpl5VQSXndYjitTvH5Rn0l2AMuBTRKDYCSqx6Y/gi/KTHP+dXqaQqRfAG3W7PTRu6ODfkrSxLZIw3bKee9GgTWVfjecl9W6nD3jClrrjVCvt+3PHzUmOO00XXZTgqnYi0BXK4pQ94bCD3vWEQKNmtN3A13JRry4Qzv3yxqq+EPgAUica4A0HVZcX0UDmEwexyxUBOCpwTH7yjSA31sa7WpfbeNQtQEnHD2AkdXgQDKyHtH6kfCBcl9OYiK/qGWe/tMC/VeDNpTM2FrZ9Q2DX3VivMmcagxvOn35/aO+DyxjJsfQ6V75FfMr5uf2u5zlMnBcV9gKR6Sl9E2y3JcrCtuZvjg7fdVt18BOuTvdGW7HmwVGpPJ5M4xz1zTiT9pzqd9os6aA7MD7d6bo2bwF8pHRpp1dTaFHjvuCIGv/SvDvZ4bZ+SUSHtjrtqhtVrDWdW+Y+eHoKRJf96CfsxLqFw0h9mdZEnY5LnyZ88W/+bHTE9J53SxNcrXzo4X1diZvksZh4DfWn2ypbn5ymX4yruZwCPqZvUeQGddGNL0Nl0yl7+z7Pil3KfEXo9+0NZ//WC0lHfh+j3lb7HSDf9bOvgwaemFay6wWeV44hzrutm/t36vNmD/F8dfi11dtxPkwx5rEFZ7JnGteRiTdu+ZhvAnh1pYmXe+WLKCcF0nv4ndR90z7jQPexenmPrNftr659nCYn7OgI1eGKghd6J+t527yNcdrLj3YhBvnDeV+sJ8ec9HG8pcDkNFdgRsVb1iXGK3gQ6jvWn9luZDjWn0Q9m16hhz4rtRWAYhvz//T02xH7N0x6yXKY0UJQ30lTJhsqQ50ia3IRVtckeXHsl/Q2gTrxrR4+Pox33y9HrU+4Vxycq3SFq+Y/MaktNaVmMW9iHltUbU5uX5wol0Z3UPtRTMCOw4a3vBtHsi8v0LEtJJYz0Wtd62GW46r7EWTCdMFjQoI4hbAh8gNGp4K8L9KNuC+txw2bg2kZ0Va/d+HpHBppeHgZj7QrSk1YHHW8uyLiwloIhUxHpizLk8aF8BGOIiQuOeBQvIz9VeVsUFpiXNu7pjTFfLrau1ZX0JEpMErPyxFDQZdLoebjl11BWUdiih21afR/UzuCdCx6XTqDp0DeTeljpMjjRsjh4UeZRrcKDgEez+hXU/jj+HZfvGXjrWlfRZFW4zdqL9m5AsxGck9CNOvj8W38xN+Jrvnx7V482BFMAnxbGRor+ZbA77rb1eC4gXJs2y1Ju74o5MTeI/d97N2qawqV8A5mAfQGVC/Ipbi+dP2+BfK4of/L6jCHs/y8ID9zx/w6mhgxt5yWOv+5SOnuyv/m/PG5YzTjthz4s8+pNq/4ux8B+/R5wuN5MZ9FGgcsp4a6gy250q/1/Whceb9YVlwoSnJk9fnox/nZHCqOQXeGP2mh1sr2I4VjTGgKuBPR59lNc81xEPOXcSao/IrGWnzud/nDR5E6v3ayNJjKUduEEp9WvNAWz/sCSJN9isoWACS/urEc9FzGHfvPRTf3F3D/sPaetS55riNb15jQUa6OmoaDY/I+S/azn/oxFnuh83F7Qc6aY+00UnTKwYnHC17gMaD+8Xo2w9zlZowxZxbgdJcpL1qsB/3YU6UNXC8QxYlpj+C8HwM90Rx/2QZFqJ0cGJ6vHOHrp85IXSQQCB0Fncgtc4B4VWxSvNoimr3z4/UAp+HVubUpRW1cJWi/2xkOhuv//oDHNXQipjvexHla3HOZ/gC2qC+r93f69eS2ztKR1vzyRbL13sbm5EB8WTkXGF5Je/WqTuYVQ76jLdnpotHruAmS57PU54Vv9jlwoMHUd+umi22hs+kTvY5tQRP12WJZMx5CD8NcDye2JXd7U8pYvGvrmM9ladejytjoER8bYxbm8RqbZd+liPosdVP7DeauM+5w0WfjydVeraBzneyw2PRFr7u3fXqvQL8zdtskTDBvNO9A3m0sdMBvX8RwPCKHq1RNc6jI7619ek5NlOniG4BIR9vsiKlOpHyc2mY5xwvCY3L4LgcEtYAsmgqWc9nv9n6ik9LG9Kz89jocwfxKKh1/wsepnTie267xScez1gjySyGPu2wC1InH+TrPdO2UweebmMMJ6/xlGmt2uikqX303X6k88/NJVwbyWbE3qoJGOtwOx+YE+0SH4f6caITyjjTLsoAJm+HGopWuS5b+kBybHKHgP4dhmpM0nv0EocUbPkDMkGVr7xWe7x0NARvqWB0dn9uPLKvebh+HXqbNj7IGqyj6cdimDf+9iaDTaVPlK15y2BTv5fqU2vjiMO+KznMjedXEs3n+vuDr5fmI/zOT6+vqZ94uKCeMqNbfQx19HcJhFG7H6fwIIer8GWAv3/um44NzN9ZECf7uU3D43sKFao+VE0IPsAMgHwgCT8fxlg9g2gj/Bez/Qem3I/bvmhqhlh1HlF4ay5NQerVIpbx/amdgWQcQCr0/erVzipuY2tc377eje1/0wRQEbUxicyQDlYHJyrN2HLMCZsccvHBclzqAceG0LGpjZlo7njPT2Ccux0pNb6MI/UmKYWN8SwFeEXJ9B70AdmRRHmVcFMZuIBdhJVtbRXnhXZdeX9Bx65g5qIIhX3mXZird0nCxaxfjDiurM3aFPiWchzfSDitluEvaXknSUvS5p4MQDueILY7CHY8W+e7HcMRdNBSh2LWojD6qmt1SFIaxHAAKp8a0G9Oj97ieGAuk3Tg4DjYFmI0CApujCwUY76tiIc139PgCc1TK/QylL2nKHV8vk783I7U6cg1nfSd/KWv0+sA6fni4f1u3SY06b+5hvG/E0cICgXq0rM0VRvZb30VfiTccueM7xoUN6bbTUYCyK30zTrAPCcuwGlHYkj/vCl6LIL2/cu5sGwy4uo32jXWQ4/QIy6H8nLGWYcfmJn99TkfmlqeRSBi9j8S7ArGpBKCx6on5butDXZheNLUZ6pRPWj83J99FolijytKuz/+Xzr9BkT8unrsYcH7F/KLnZ9pDxVfwHsO1igQPHBdhvA2OGAbqzl3nPQz7C1or3SIYEy98ZUU+7+vcpe+v5pj/ZJ7c6qtA7TT2Tm+NuqEFTwGHIXhu7wNETcWsrqtvXCB9YGvj5HD13dQHZyIbo2/TqzFp+T45KmrUYYPmJPos9txlfdAQiE95ncR3lZ/hBUxET+EgDvyYLP1E7/6d5kT4XXd8Dc5texf3BxPf3JwqH6SuJmzPh7kSm3jf0Pd2rc0pj/N2moPj6UmnDY+Sbq2++Iz+DPmsZG30WhY7nZcMXTidADGmbheHQrxHfFCm/VGo/YRfj7LsxRpN5X1/tY3Q84XK9P7z3wlGFiojrycIQx/ZUHNOitT3OQlwdBJrzcegCH3Hhdh09lFimui8k+VPe7cdC9llS4MxNq421Glv55R0kGtjvqGuV2PNP2Xr7jKvRufw/n1qpusrepHu13Tnbf1BUEgtIzx1bN83ebrd9vGRwqGEZNtxRPbUMU+CPaL5Rd5Idt3N0Rnj+fu9sAyyYm3oxeIhsc9fketDff6XtQeJI7DF11lIHmQAAYH0hvz62swrO6Dr2MXUfjUffEiaY3hsb6DZo3PG3zHvPKU+Hd7RWJ9UsvNwtnNL0YYX5hkvm53gP/WrywjPe1IhCU88t4st0tuyujc9hHXzoZ3el8lOLJ+nfpdGK92c2i02faOrca3h1YC84cvqJ6tJbWvCy/Z+onMMzxn2A71NtPBu3idc5sl4NRYBOL1visPJpuW19gDTaWrA7bH5JpsdhrhDdssvlS+M+ry9m9Z2thOivEw+G6+0IVjjRFPeyPmK3oJPesDbnIf7dRxngtcDl8Zjsf/D0m9H7N8wya24fBe8K4G+cNcurueonVcG3Gk3yL7YawyAomZDiSVBo5cYAyU4+XNIU3j58QhX708/6qz/5IVxYFOAjkelOS5diHuzFuly/eToFglYIwJJh7b9SLt+hvy1nGiArV0N47UcFw15xPD6sVj9eE/fGROOdKljHkKCox1bKovd3sYTZWE5lFN7J98WqRfRe1PFibPagJJyb8DysbqmoPs9LvjyEEjY+Nn7fn+JGqA3cP1pSr64YtGEhtWTCp3mbwD6B0q01P0A8LDF2gOtbwqJHL5/kmzu68OcSA/688X7pyxH30Mz0pcVPKsn8lo/Cw24Q0IAfWgcMcv357iAvH+saM3rpx0lxLj0OeEOT1l1yA1c3wuuwssIX0GfaO1S2057rDxdPwX6XHAHTm6LSvta434PdwUHilt0qd+NFLQo9G5U7Kz8V8vj+fw+VS43KWtf96LVP9cEzaPGCHbffCBYxn3cWUvRqai49Khp+ZYcXz92uAsACQ6SWqXKHlUg63fQmo3N9Y0VGevRhYMyWCIjCSclAlVQ6GI7spLmGDvX+ZibiBhV4PppXfkD0C9yyDpvvO1Yr9sXfBz3Weei4dXO848KCxuDfsR9vI/Isex74KLTygN4/pEZRAF8031JoaSaXPEFHsZzLP6sf96H608bNnJubOPjOLfdlMUBafR4fyH5hxBc3J+rVJf03pyuGOCJMfFyXVY/kFH1BdFWzunqSnyPC+PG88qGF4IrnJnR5zaWAB4/mefZXHjqQJ850BH9zBu+KDJ30w+6ztPop8gbj+L9xrZBJcapTf3R4TLwychH85V/jwsmSvBqzR8O4viNMLDEx8aj6K0vd7mXlozS6J8mjgYZvC1sWLY1JmsB4vpWakvCgHR9jo8Gvp2HoI6L62OMuzWX8qSbcoz8tFPZy16rzYvGrTvM4xoBo7PrWzdZUxb1gdS9jSZYpwi6tEVg+U75EHgIvFecr/KH+4OIp8ZvuFxadV/f6+oTdsweFwd+p7epb2qY82jIGJ5TLFe9rlPaFo6dThowfa5kBSjwTYufuWYslK/SmjsIi83a6pijArMfSwvSHX4vz5tb/BlV+dKxQW2Va0m8f257s2waePS+EDzDWurnZw2WEqlEkSzukFUe2w1+1xGNH/QFTZfrpN99ft+l5Rs9+0P2T+qMqqXeherVP/LY4nxoZfiY1fKpYV/qtU4miagUxh1IbnvZxqsTQGqbcF70iWHxmI/ujSEzuHBhbVo+neDC9RBcXb5pzzslh7n3Z2gv9ETDh9NKOkulnkTS59jpO5dHMgWxKz2WXSXVTpuSO/lvSdotCiRSd4s7jPPZNs6xyVdqvmiLx/jEuLHhcaOlV/PBFTIV6xe17zC7nXkhHK7pbE178RLFzbgAbFO+BP63MQqesf4uX2+icT7KfkWlO2Yn9M55J8+DaP+EG6vr1ZqqX/XDG4+PdbGc8Lmk2zAnXG/g47W6V8Nb4G80yGtekeWeCqKOG+GP52JZe3W9gfiE9Dxeb69PkXbyaT6+kq1eV+vGK15XUpdzjZZGO4ebtvfFwdrK1E0dO68tMDrNkA4WzvBBprzcQNDwXWDhtoMJ59cNd0RPZd1parPwxprX534nubL+Q7C9u5s0ZLAJrQLTxC/t+UmeFT1yg4827Pmm3OFe97Eu6bgXgx+QLnB/MbltzrbihIdN/7S0bYAVbGsY8Yz7YfPuJv1VyYZefxq4UpPvIQbf8LOwNWkto1wXNfTlPyH9dsT+nVMnqJPA/qSeqSwLB8WR4QD7ZH43YWCLRz2k/VPY2QBdDb/I247Yqi81GFxn6GWxwQWdtPs5DE98j1l/V5IzJxc6jdmGUtiF2AEfXP40NmnQnZHUlZCSsyvHQ9nQo7siogDfSzID5r/n+sv703Oxo1MdeBHbNar7mEz1HfLwouNSimWDUYF6v6ErikOdah7rl3Pj1MemeLnSUo4gFaRjTnI34ycKosO5mpJdMHs9/LsXp3YiKteLdBrzhXrP33nGC3p4tVFgK+YCmRbFt7r4iKh3NCjemQkwhme4y2druE+21taWf2ibcfrKMgTxF2/WJm5Er4f2a+8O8JcDBHzyU32bEcxdkIEVdVYwKcc0sNOaW3d4lujaoY3aYP+d49JhKXTah+KDiV0W2f5C2XLXKlAW8cbF6cNYeNrmJfGxXl/IJqKfo+GArKc2+KqDE4D26oC3k8zd9JVt4qP0dzMWB50mnp90Ia6D/6jc2BeWlxOsJx7Zs73Rmz5JBbZOO1KffUKzr9Km2wwMfMTVRGstje/7jt9TG5z303n5SftTKjSqVQdkWNqzT8b6rcOHYfiQdk7zcMnf4d4kzHX/kjN2OPEnZDowL8T+Tm8T87xtiIiX/kpdpfxU5/RYsMmhl+0M9wjXTPmu09ir+143WAcb4S/x2EGW9pQbdKX8fq23uHDUkV98Alet77NiIyivxluH8R11FVIuQt6+QfhJDr9SvX9lDE/6x6s6pva7HukRly7XP+HBf2G8Ol319Yb+zNvpetD2XUnHirya+n9ro9TBc4vm4nGoqYyPQ9HBDZaJh3QZ2Be7a7/T7u2nsCjX02mi4wUe+fkhoTXdssJ0yH/QHwMwvmaGPwP297BJW6sqMMWf5eHNYj6eNFDldDSml8saYKXSNxT7Jgjf/KwIx6af8NSdIh/rPFRGJ7x7P086V8tfZGgBCpuddqpjSi/1rXdyEof5x3Uw7VB9wZNOcHb6Y12i207+/HTKRIMz2h51+DpmZcPIq3nUn38yrz5J78qc6OSmfsieB0haL7y218V89FfgmtKJ15/kTOfbQ1/fJu4fBpqkuv4pOyvqeeGofUfneN2naa6+Wpcf11Mnmfwru8ccjq3BvY7Kz36VWM7JHaCx6RGv8DBE95pf5qhTNtpmH9JbW/CvzIv/w+m3I/ZvnnwxIpVsfeknWHms7KRIl4yIaKLHFNXiE8Lrs4iDogwJxomjAuiXTbQWPVgcsx0unsxXMyzaRGehXxivdvyksrj6Y7sxHK+u/NP9VbkAtCry+7TGiEofozjyhy6qtkiXiMyVesNPiewho9th2CJhG44vjwKhCGZeDE7YO+NvuGRjiRbAuB4vp4IVffhAOLjiqB4HkI9i7WP8bQr4A3nnSM/nyn9EJa5BjYvWHwr1UL/n2s0ZR7NSu/fXQG9Mv2EU5PMeYQddEZVyASLLaLi/ENHp4XC0dP9YuFhjSzTTDQhJuuUjiystYUXwcSSs3xVp4wCBHcus6645b86jib6RUaSyvrtt1OkrfggyIuVe2kcc00xt85Ga64girLF4Iu+xFBtrKPC0KGVu/064ii7BBoXvkuVjtbwaj5b7As27ih81OlIzXrtDc0WX2vcv16QpOT/wu2wCLqm7nxlupy+fF4LYPKCcP3Y6WsF2rFUYrIJ0Jt+LFqNfl1I5rIhmB/2JddzxlxacQhCG9GKLunay0eqN3pJR7t4fus+HeY1vDldzbsRRWTY+F82XBXPSKMD0g7izMu4z9GcWFb5F03q9B+dsNxBV6C7I78ZXfxhd/TTcyVzHpsBP0TE6lJOC4iKb9Eu3KM64y5PlKPNq5t2DURGnGtzUX4481YpvwcoDWCQo1vP7xxIiYvdKx53fJANL5Lf3QbFFuDOct82P4O1EU/pleTlyt0V0Vv2E2qDo6BJtjaS9OPVBatmyeEiRuiB8hRxxnkp3xHIn9ZGyOXY1P6kPzC+8XdLdouxwT31J1KzvPOXdwfeDInU5Gppp0evRvd5tgaPhv7xzOJ55H2WPyOSkJAv9ioGu6/T87VHOG9CNed6/dtyTXhYpHsdwOfIWnrJSbWO03t0Pl9utP+bcLYtOflLK7biwO9kVBE/9zN30NWKY0/XUkLGrEBAbBnV910sogtzl96qIryLw8Qma8z63o5f9iOIJnhgTx0kfINnbFFpM7ro2fJ4xbfxOL5PPI8brekHzSQ7PQfSnA7+expTyTjbptDjDNFR4isNy6z6vptT5FD3/5Q0kvQyfr/luUc/5LcnsUnXrq/jmjxf9Czsy7LCqd77SQ8Y0zNUFy/zc3ynDi5yHMT9DJmucklV0Mt3bWObirovicubjdRKQPcLwHjqgq6K1KfgNATB9edtAXgtyM9ND/TxEjS1dQsKGhNRrRmJuNTGYUWjJA709Py1gddXu+O70GDIOBadlDeJq71XiTli3IUJ3I3i2NSFj8G5rLxmaAiqGg0+oos6qtHycevRboyW/+iR+o73v84N0PdBw9shFAdYVFcbEtvWOcgpHa+cTOvPPSV/iPPGe6L3TuVrk6oMQSjodgIx6nvi9972f0ERpzful56uiOFKDHbrdeHmBPCBSbB6r6czyx73q8fWZPwXXn1fwTfh6gcJsE0mdm3CUazb0mMd1Ggqi4SkVuj5E3UJXPzW6SvqP2+NeR5O5/Cz4KdfvcxSVhiPviyjbKM/1lDlOsAuqLXbSN726Nr/4efSB5J1Q22HDdf5un+pXiBVmtcOTzp5Dn3sSapZ5mH91WmnjxPVvfMnyFjpjfkt0WdbBQDh90DR2fJl9Heu/JGqim8wzjf5SV7Z3NM+ZZj7Vf9h2iL4Bxh8Ebkf4O7flIu9Eh6UBVBwB9TogbhMD/uOFZRWEAOUNSEXnjXGpDsBY6zi18Sq10402fZjspNH/sm0WpK79CjxdHx02X0X/+aSiXo2rFS/aZr0k7DXmExszQ85//6lJt5s+OEQOF1g7TX6Ap6ADn7cX9lNV/wfSq4M2fqe/adqY7L+Azo6MeyL+TxmHyGuBMCqBv84l+TjjI1NrClwtn59FkXGYfOHgHWjGcLsTtigh21Fdb+rEi7HxKt6M0RIabVeKtj+CpQuwrdyAowoQffLftFtuEyA2CIUh67wW4gbLybCxPKn49Xzi9sTK6oYeK2skcN3REA7SU38OdPRp0kIvqYjBFP/uxNnaElo8/pV5ncVL+/Hgan12eK7aXtyr2pT76MunylCjwZeLc4MA744aHmwVLX9bavO2tPMKjg5LKBFE08OYsGOYYTpG8JZ6k//ln5a8RQE6wK+vGE3rk9yHxRSiySMNTsYOWrnpPVcxzucT8NjHsPMmyldgaLQ6wje1f8ijUv9630vZd+0qgoe9TK0P24IGGUvlXf8dhTnveVej9DpqFeXBK7we8X3ib9wWOWPLu0nOf4DH+NxwqkVWuKzXrgN52cYbP+oXV9PxNdDMWO/0vZeZDJ83xtCJr5949tIxXiP8Y2fKO37c8wINFx809C92BE76waaHflQRqsFs/ftIX/Vi7/QybksRRyv/chr4/ksH6yey9neak+HsFR1Ni1J/dYFoWiT/H0n/imnKfKlt8PXPzrvcxorvHZYTj40KcIR94/O/OKZofOUj3nIYx+DbI09/r6eHb/MlYb74bTpHefdPjHno/qPe7IjjtvOdO943HcPq6/pvbMr+14qSCiOyvbIGgZ3Ph1MC2HFYhNHnvGDUSfx7x/FJB2/pqD9O+skIVPsbngs92xaDB139bZtc/lfTVOYTO6qX/6tzo+nuQrQgVLfYZC9N9N/+rMPiuPe7YV/YIL+s2/2VNJWVs3xkejjS/K/A9IlN+SZpn0/SX77mzVtdBNfEs97aipGxfb5Kv0KvfV5OWSZ43siml01+UtchT3f4cjQs533pLHxBcyMufoWupMF5yjvx4k9T490fl/+Vdlw/m+TER+UV3fE6pqC/f06gf6IP9DzspC9z9VVdRGujjoqqz+i/wnv4gU44wVeBatlewPVX/Ef/jvQ7IvbvmNgWMKKLO2NRGfq6N9Lutvpp76cdf7xDjt/R8aH3Fwnrlid/SDpaFBnZ8RjyqpKCNRwXYIt3+4Ko2u45BR6Su22npIDvxVNQ5MmkQLmgoagpEQ2eWwSjwwbHnaRS3hmBLygpVhTKl1BUYzXk+xHHegHPHymYE9hksBPTFasvjqdRjQi02PkTUWMsOROWUjfhKHY9P4ELivtb1hUh3+v9XXbUkRXjji6xyr6R966IQh4LVgXiDk6hiFi9BfhplcVOSyyaYwQ8PQ8LS24biHt8rGNd8ISD0Y0BG4ugV454orT6K2veycLJgyOVrGyMDzDfGRBjS31wepmMP6MZj0JefVLcdK+N91l/2J12T0TEpkBirMrRgjehsvGdiM5zY953jT+szRsZhQyLQfJdU0y73H3vg0equULaeJbfxcl3ZemPipOueDoJrJ24Fun0lNxJ7RGkTiMxzxaAcVcs0xLv0vd5K1nG71uKY5Usb3Hu2m7rNWfaXAwek3BFPU5XjwqTR5wW2rjWCAStC/EBw+3jv5Zj6PkU6NNo5aErAu1rCQK5NE/39P56/75XpfItdnezbM62i+8MdtjaPDruqPR84pHsWa/fkSz3uu9VBVDTbkq0YzNUxrt5nmus5WtFJusfa4wef2rsxuYxUqm8YRo/fleizNv8jaKaMJbnt0B+utw0evR7gJV2nZPM4vsaGdEusuBtPUgUtIhI/ULhXfcPkO7h9CDodFdwojQWA14YXwyjvyvRqS0FHVyrHyU6wvthn8EzfEf+Xl3C6nBJGw/Nu34juv+RdXsdSW9i967xYA59FYIViIXSHrHLuAk4r4Y+x0nvoHq9Em3Fc0Gcvh86myYOlca06BDIZx0+xpXXF3OBaFBgET0XgFviLtbt9BEyBOOO5ycQJ38g4Y3yPJ4AIgLW4aQTJwKngoxS7XIRra+NcGeZLpicOLs+rXj4rnUKjxL1u6vtKHmDySN5fUNguavnQfOG+keAp45Okbl5lyFS50DWoVfdQMAyup8Ksy+U+8AAgoLErJ9O7ihzCLC77l2evr4P6neqyR3lPDcKf+HUZZk/lkqzp0WbLhPZTtnq5bG3+e90skX9XAK9KaK9p+kZtbV01cXoVHZ6nRZyXi3oupmw2asuM3TJGoHfGzucnMTfNfnbgkcq7JLPIppxkA+M940ve33txJsyXmP0bh2/7vTqNmm86/3TpksNfAk36ubcfvfq1QZapZ7sww69S5vPXKO+uNfybkD42LluDayjWqFLR/T7Lal57nucUEJ5yhx4APeX4vLKnUd/G8oGvch5f9GZov0TgeYnb/BznXnZcilPbz/JhOAMnU293zz2DOCg34ShQcSj9RWAOMlJbgFoPYvbLF1m3uE0Jg01ikL/2zxuc4Nhv75X1KY+NPTf7IvjZm00HjcOOFxTJC/T8TBn09aTubzTat9oLqATmCSese144uulbaf5bz5JzMYv6GB96mV6yKVRrp+kpAyPNxfR4Hl/NFSSL/int+f4cF3ntFlRDs+pj2Vu0bzY7BFk26yDu97peuZtz3xOBSgKhF7q9RN8wrhsbX6cfAyGcY3pZryG6798nSzmAM1NXvjjpoKkdMnh1bWSr0Twt2rC3nA532WltzHoBVvePuV6FLdg00GcP0gb22jjHd59/JlWlL53GvJURUXtp+w4K5GwDJcibItNL7c6ne+NeCR4Rn2GeROzbKl1/4oz9u1zYi8ARr0DINpjnPM7f3Yax0aPvPZVIsAPfek6rw5jGhGoUSjnfdiElGeUPcBLPhDjX/h+1TG2YiOfF0AZIe09zxlJffyUNr+S67CMJ6XhcVo/8BjvS+eVE92q5F3kwQ99jeBymfErTPXfm347Yv+OaVAUNuboNGnHnF3GqaaJf9zNRE2xUNuq6ItL7Zi31QZzUfp6v4l8COG8vsRiHGwZ7VbIJRO/osYxTt7eTjILO9Xc+upHOWy4Y/xPzN9hH5zEvgCwGa5KOLY8uBaKLwPoZVcGBh6L1HDcOWDnY+2yXCe22gYfyyhPQMwxXowzII1mhi8Ma4MrDAhbZHzcrT+uMTtw9JKdYSxIirCi3w7e2PH8VNqIAGS3TsdAugPXj5/0xf6qaOgGWz9mNCskWGjxZnPSOGr6Yrz32Wng0jza8ZZceHdl68IaczOSQvFqx4fjogvXH1rbcie5H0WGWlZ7/4Z5w7a7K0xKfWEjTAXr2OGr1X1QNN1wUJgioliGtOPAjx6mMRKiL7no7teAJxsrjtr4rpDQ9qg9wkEcvTox6T7eRruiSMc35211x7jcxjd93F1uOJ4F0D8Ft/MdALgBxWWLWXlsskfIymX3y/pCGB8d5fWbUz4X/RN3Yz8JLp8/PZ8K6hGu7vx/Yi1yPYZ6Gk3wEbyBL0mYfbHMnfAMGxspfY4z7flCd2xA0B2O0n8nrSmf0drk8FLBOgrspvJcbecdvWozQsJ36zgwvlDG0/Kz09D3I8VRbZNQJti8PwHgIW38oufndiTx4LK7GG7EM2LI5dA89XWE0eu9jadPC6Gvyvc57d+ZXmleb/RAvJCNZc5/gifo9nb2xApDfqpgLTrzvEDFpf8OBwP3Q1peh3naUex8SrJOf876F+P7dgPMdJnYg+LwlI1uXsELYqO8y3Fi8DqcPaqN+h+O0yFPHxc24rcjojTx7Ru7yth33hJjYrIMdRz0Qjq1Q4HIMnwcMD+/HyQT3ZlNc7/A6nWVY7GQc6Rd/7DtqOZnRAcK5Hg56Jckc+vOk9/pdRp4ghqz7/bjK9vAE+c50ft6QPxRsS8cv0lvd7IzDxnKFLp8cRSZdj3qZZs1g8/Rbr9JMBCM+P/EPuW5z7w+HckZaTY6Qw91TvIEpq+8TQy384APikV+/hverY1lur/rfJAXK9hw8DyCPC711WKHDD1oP1Wcx8oGd2RlPs7XdkyZfQyc73n/+JPLKNHUuzTpYJJ/bi8W2zGEZ6JqXXe197ekA5PY5NbIf+iTNoweaYqGuzuBJj7wLsW8bTbmKKe4btE45lfZOf5Xk/bvL2g1fn9QLw9C17Wmtj1fx2XHtQZBAu8W6QGMJ0u5E5bbifmP0L3GFHrHiz4MTY4L/7K/v7tjDwM99/ZERxoMG+MAU9Q9v/oodZtmg803XWnL33iw69E7gF554uzokKPx62sRL1BQKtxs7A7LB/Jt5Pk8x1+A8ErvyUbaZ3/u7VF9ZY2glQ+c8Rx415Y/o3YC9Bd92Na0uf5N7iV8Hf7JFjo3+h6uqZ5tCH+lzVep462NfSwzB25eOE+5HHaeONHVRzRWGuCJ+mHhoX+1zqFIwX0nBuzjNz37BLTuHBXJfvG9r8yjDm2Nxw43Xt0d7wDGI5D/3em3I/bvmGgXc18Q2wlPcX3Lui/qhYA5GV68i0Po2VLcsyIhRrU+K8P2haA1QVY0mtiux3Gi9/6032XXv8PRJmjG87oeAAEAAElEQVRRohUYL4W2uviOt7J7w+pMheX9pJ2camuBWoqzaC2cVUOtOg3yXT9KQRTpKGkwV9jpjsrocP09LXSPgo4XygJGUtwUER0k1nf5WshTHxvewVnuf7UoPGDtlNT1GfeJeNavCLtIwGJwpCqV7kyku2EjWpv7NSiLEFh0pKzIT6XdmQLbBUq49ne0s0rutTvy+/9eOLn+REaodQWoIVwf7chKcRoC7j9ozGRFp90/1q7d+0fWkws2hHNg3ZlL+FMRusdnFWQFPZSRpjhePzPCXC8AX3SMb8vrd6cuPFH/WeEhPIbCZ3+5aE04KwirsI7Ku+dzBdJwwQsx6nzOaSXmr2ZEsVtM1MfNyHTYL4mNCSVKFkmXyvclA3VCcj+0fT4sWt8iOOPepSkFfmXjzWXXqI2BPGXVa2OsP+7lfP/23Tg5p3BpRBaHk5DrB8wxRo4RHyN32j0Ri1FTxOnCFzXtOCT6UWYNPCcdj8jyvNgStHABzy9AfwDPPzQjHHlYBOHkA9AiMLK97qiIyBWC5ZTE+OjWbnzXkWf7c4EELvy9xgkCguvGuufSFpAkTmtI+PRafAV21/X1M+dkMVJ4Z7oaayPnbdFTjH9Fn5jvUj/6eF/fErj18hse/b1F6LPz8OYyaGWcZpj2J96CxA873yHuuF4wBh+LMslXxfl8OP+lwo2sP+5togjgok/wRgailWLI49yXwiMv2EYKnB0ejQd157UC6eBgmdqq2w0vFHwVsSj1MzIItohMfUjqGFxelaJBKSqh97NFq+Zuc3rOEXqBv/W+4NmeZVvev8rnT0ZxjOGFvE+Yq7/XiRZXixqKnb/Dsc59R3PfHCiqSUfOb7q+hzo3i2EvVKf3meqLE2Fe6M/b0ZihC2j0IWDt4naIYvydXqTzMIwyjHl1l+/HRCrC5LR8CQvJBz9xKE42EqyTkJ50zGWfzhOdOTC3vr8XKngPMxQkjweCH4TMdbBt/jB/Bz13mlZIzGXgQMMkZ8LmJpmWkbGVf0VZx2HgJevaxk7rnJYON9XBvC2KN36/LaIzL5z+4H10GEkoBB4qD41n1AeXaQxInNjR8cOddJ02dCXsGz2Y3z1SGRrlrNdHIAcIrEs8aHJpnuyC7zKE67Wr38MGlHenA8TRx7GBFqEvrWg+TVpzfdWjhUVDx4mTdYqe3p51Oacpr7cTYZweL4suFUkby3CoYqc+fOdaTUxD3tTRaHJGBDbdpJh0jc+Fg4zob3R0cf39WZR/ARPDTfp6zUcy1oHkeoWppZbpax8brBMOBVUOuB0Mo1GsNZoVFCHQpw3GA4htFFq3DSgaq/J58jTE3hOCs39r/XCHuepgiAENe1BRdfitbhpnzHxuW2d7Ne6CPHXH+IoCGe3I7fYN9FRnz+t8urd1fI5kbwyn0wNHm3Obff2Jv08RyYynovcy//ZxMxuN7TnnE6ATFRkmThyN3W2TbC+vxNqWZ/z5sO690QbTFtESj00XI4IBh63+WM+gLmwn7TH+Lu+zy3wq6HDyegSnjiOCRfz5UIbZzHHOXCg8uet2zFOjrl6NVhxuzWz06XJJdrgVr+2MA11zG+f+tiCzfsqR16n27tRuq3PLcwJ/yBv27HTVI8lctfkX492Tz9274o9PMHorW7nNRxufA1svtC5kN09Vu44z0SuovU4DnX4OJ6v9T6Xfjti/YxJUZ6aHuhNhsaC5no3zvRI0vakQBFrzkoLWDbKquORxTGhCokRQRFmNT79DjZ97nZF8Qe6gIG2CtguiUBgl9ToByuLasEOjLGx9qITfj4ozpfzbheeg5w23wXj7aijlSTgrLP1dKm5S37edN0XAcxQFwSw3gOc68kQfuhx+34iFZQjWET/seCJNRJ+GHI8+c+VS7dkFyI81oPp9RblJyeAIRlZmVtThchhmZDBCSLgTKo3SdZQ0fKGSJllMCw7cddDFaPvLjpY2B3WBk+eSaTE+J8IQlhxDd8Q+/5G4AYD7D11HTH0p7j8WPsWdF/wHg5Wj+9r77gDtmwpicdQUcX3YWoXa2LoB2RVEw924iCdcZzuOiOZvd3Jw8nHowr4LdXF6YoU6Or+izlWX8x3NgbMZsly2w+NOVmgu+nF/uQ4B8ONeiOxHb1NHxqhbANd/X+to1C+kRJfMF3PBnbBuxDj7sIj7PErN6NXGQgW4n9fK96V5fJhizZOHwffMORfrATzFLpTFK+9n/HxmlydFOByU5NRkRwEr8wBS2Rpkg8o6LjXEmtHO/Qdw/0PtmLZGaM4PaLILiMcqgmZYSR5tgoGOYyFT8+jt2+d+M7q6zCuLnp29Gtz+2yN9/XgthgmwtuiY4gvA9V/nPoRssGe+F+D5B+IocvE2eUyH8S24ZF7kOGiL1epHgwvlc7r23w/6hNHFnTTJiwfyE3VsCIbigHU8KcJpGjjs/JNw7Ef0+gLscGNW1g2kMV82cBE+fE5422htdj7sc/+R74oaQf3mBQzno2XBgXHnfaI8ZQ7TmI6LBM7/fVFPhnyNzovzuo1jVK2Jw/tHwxPTlukG4VwpCzx+31/OIQWWk1SSb65uKKZdvUFDpd7OAAgmS+5w2RYinorrux5xGvh4pm7Keqp/3xYvnOc89w2WjMfKc0w/ZtvD57r32ejy/rH0mX6KSNkoKUi9XpD2AvL9VPbTzS2/0yEpIGUS0ytWW/qceVNnzCnNz1dpXETn30VudIHO9cwNfXqE9RgB1+dKe7f4gaIvvAE+ZyQcSR2m0/GaHQafl2ETtA1tC2XZPtumwXIbP9548wbE3KdVPzZ+3HnU1k575/Kkjr3meG9yguiUfnu0q/oJS1ulGIBY+USGd67AsIOi2CFSYdCF+318EXIBrCO1rsUpRJDUy0yuKHU75J73GSBcanxOdB7Pgn6QTljTdcNRG7qWFkDjCF4jpty0GsJv1jv8UWzQozH2fsUVRWsuidP3rUa/kqdd+Bx1XFwkSg98pusvYf9MOon/fsfnJj3mXZoY4XGFHjnBJr0pyjpifL7qXGdnm32suM9Wr4qGjrzwJeH4DieUj+sNO0586VE+J+JqHzSUKh1J7M7Xm8ZpmsKy5JVesjsVXskMDCj8YIz7msPJL87tF7QSn1DjNQEzycgCU0+nOdV56/A9bZaho0xWHRdql14wzQx8fNNL+1gwy258bG8TlAHBTwqL5npd/ryY8yNtAzOesY9HoUWC4dVa1Imu+ppGrB0av405NegJca0ewycVL8We4bUrpjX/PcHM+Yd3Jx3Or92JtUJgnL+nOni98chDdcjvsG1j845xYx+joe0+LzdZHO8kgtOKTU3jHfYlkAT7Qh898ZsAd3j+Ku+4ye8QmDZtdO3v3+nSS5eQfTxP+iQH2PDGn1ftH+h404cPfYx1hv+A9NsR+3dMxGy2RZPGoJhpMVMASJFSgI2usojsyk+vpysQngadUQ+S6eSEjXcjs3Hgal9Y+Iy7nGjXzv4SKdQag/WLuV8uJBwEfDfqeUG3txUOZ8nDmOqulC6ApOKABJE7GVhRmAyOwuxpR83bviopDfYsHHO24HZ9m+35c+2YjEVQYHPId8M67qRhQKYdokp0dYvdkyQZ6cXHQnneG7GzN4wLX+QWXY59aFnwD8b+WHhyh2Eisgk6B5OVoWs5eZajN3FWdkYDy9ARrDt7WGEFCdRQtpbwv203c7nfIHYd60zzTRFWacKw92uiNUKQqO06d0PMnB2Be2338F5Zl9qzvD+VmhDsO0gJnlDU+RXvzqO86yhmLXXnor7m74MSWWi2RRy+zKvttz++aDPAU3L3fZSrBcKgVYpoprZG27sfjebz1+aL0LMoowaPGwrOO32gLqr3Fov4RdwJu+iaFCWHL9rQMLjLPUABcxbbpnvHY+e93M9OGMQLgyUwfZOcU8Jniegk2eh1Fjgd9quNR4fT6bPj3bNHxAvNQYeBnHSOl2owax4LznV6H70+2lXsOInU5lu/O2XauVscgsRPePOG39+LPq6Gl80BCiSvuBAR30VOiW6RKytCv/a7pNM873Jy4IHFcASwjS19bke6Mi93OTTxBmqrj81mfJNM8PfCfeCy1Jd5scsQM8kM6itPrTJmN5YTzfq3rYdftIEt2rNK3HijOVjq5777c7o39pSOhijX0/gGR1xsRnGT9bUyibwd7g2lfYMfyZ++yFlgtbKzcd36MUTGjkmwjiK270H3LPfpk2Evi1Lc5yFawY/VnByoZef10C+OLp/e/06/npy3bLyg6y+o7/ucGJ1Qd8232RUkj6c03UuVzpPPB7xHtQoAPUTFnuZUzzktUAef9vkrdW4kLmhzhG9QmKal8dAlv4Se5Xtvt6wJ+AZmj3hiME9zp491vFNsJ/j8QmJ9amvT8aSwzaG6rrYRfT28wQOpEUFGUl2ga24kujHJ6XTgSeq8TZfr+InNjQxL6TTgNoWfTiIv5I+XcUfn/VgoF94ox7b2C9xMdw/Hfd+2Ebxs8g1HrOtJNCmvWs+qn/ru+Y0mJRyBBLeW4uZvTmbADl920Or9BsfUVNHFWGazHNWaVwJ+BPz8uU/4QDAA30BhmdjBzKnPKaEyp5X2NnYbrff6vI5+HMib5LjdTnIq7Uh9drgGQJ62Yfe6yJ5e/GfdS6prgx31R7nfvnbj6yq8Edv6269FCbhOc6HRQ7TLtpShzGXKFs3d6mY7YtRJ29jdvjHN2QrLwkZzPVL3yKt7Oz0NPM4r3vQn5lO+iYWmv3GvXda19sv6GOG72CANLtcPAADflI/q3vRyYON9J+dT9mFov2RCpQNfw2S51fosF2LjdreTo60XPLrbuOO6Tet3eTb1wbvR6HK0AwcaPgNb4Yg1k5McksxX1nU6mzmNqzZwT/2PPrDO02im5SmO6nadQ7T9ZuxqJ7L0iQ59fIvO+saJmbig9UEGc5sj1j86vXRc84gKKi73OeXX/RBfuvDSxvZ6AdRNAARvWacq8M/1dPg+crBPiXiL9+M/yQkL/HbE/j0TM5QLG2MHkM4uZvasaCIncSgIGI6OtJkjT607EQWjYI8Fp2lyx4zauxT3W9GO/e1YKC/rsF2CXPgSgr3B5VXQwpAvGgej4WMouV2R1XdWorheUvDY8cqLzx55FIzMjZ/uTAWqwdja6UdY5Z0uhCthXAJlocyjvprDuujzF8oCyuScX8qH4oLkblpFRjN+A4+n4HoA97fi/sp8eQEh6o5bU9a3jqsdT2xakR9fnAaqabnq2q4BKbD7LxexrMUOp6vMg4tuITKldMO/53Hy/SmpgPl8YJyq/aYjVpbBuxamrz/Xs+sncD0J71Zf/G7ztSjJuiJ81hGimsLPDSzH7bRoHPRjdCKJw3Ex1UHQVp89cnjg+P5Z64iIOMex44u0UDeEyrGPRmvXvXCmF1bUJyVh/D4Qjm42DGKOuBPejqvUB6A/Fh7uH6uyYghyI0yv31IdXYN+EPi3eeF38/IY+VFcuAXy52Wwzrxr5W/t5bRIp3/IBRtbO+6J11d8nsp35i/j1Zxseq/jYRVWZlMkieaAjIz1aomGnRde31YvbUwI+Pze1xbdy9+5P6tthOw5obAbu+zkFKMhePtfRk/P7I8Kcnd44LLWwW0E2EEHqHN6YHc+JW6j3furlldZeAm4BBm9T7JeHxm1XOaA04XaWNqYqOPHxmaTnSzDPA+SV8W4UVvsTPLTEhwe71cY8bxhqeEpFw+1buCwNjejzse2RTRHFPekoziqeH6FnmHVXxU/QnKy6FdY47eMYGtTUYxG7xd/Rh/4e8g50IYhg4PpmY3jBguQz33B9fomntzS5DTZ5hvV6Q88GtJlGrDfGeo6ZT+iWK88vq4siLU51XHjDo5Fl+1OWKs3ym4dLSIIfK2GR4fy+EZdA05OCyrRD9CdY4fkjtDrqcnnYpF3h9lpLBw5AY/zYerq4zzeq3+ynQCRCxbUj+Zo9jnA996X6CuCOReM+JhZOzGnnxbiOoLOcBdH7iHP7/QiOb2QnO/J6V1u3XhsqaMUyk+hsfRXG1+hxSNg5j07zBpzbtSTHIRho2+esIS1WRPJd/pmyrClgFy4IRnj8NY2MF9X0OXp6UQl+u3Hr9eo8ayXbbISxUDllw6dW6EFtdyrhezSp55oUbHy0FrmyHdJJ7iegH4DN2RtrIkN0NmXgqNbEnjTzcUchy5y3ZZMe1oqfpQq9TzsXAtFamif+rE9Eur8tRryaM6xjMHiOtQNxaUC3MB9k47hc7XxuXHzOsHKeslN0bZOV2G/P1DlqwDlmpnDZ9msQxs2u+MTjhYbI+8zfNzYxtKFO739btom0xutdV7DMGz4YjnTndLD3IoG1aOnbURv1w+Mb5VTvrCnTkeTjtfGrtv9L+vzeqKO8+SOE5IM/hXN/wJ25vNG3+EiIBw/ILjVnLGGD32u3b76pXVOAhmN7tcW2WbkGD8gI2SfxGeIIYWtccJFk3HjxsgL6zQmt6/YnnM2QHTR7bw6Z+i7X//ylG1e8Bpe4Z/ezk1DscmO8xj1NcLg+87feh0Os50s1B1iXR6zUyXAoH47D5Ab5Vhmh6vYs47fyS4WxNgXvYFx8Up26QJSkOuf29wimi4R9ndtcxsjmi5Kfemyr8BCYqXk5/nP/ZvmPOsVPXF/gNPUrzZho5WAr9VV4PE54GtklNdppdTn6+xDvyacVb57wOXpN+O4v2p4V8rf65vo/eMUfLW1PeZlRtjyhi3aCk95UXG51kl2wF/eLb/xGEmdksfb3gWvUew6CFDmVIV/bq9keTXGZS7tlWwbjYlnb5uAPb27puTfkH47Yv+maTNCXxB2L/eKucT7qT4Swp+mIrCpDt4VeYLdDefNYJ2EamnUHndBI8lguuO0licGWZgMUlgrCmy86LwdmTfAyPe/vlQoqI/6Cv+dwRGcb1NXFKbqD4KSP4sjzZ4vp4/tIBVZR0KSk8qNnBFg9aNrqONdunZkkIQtd1/0CDWGfxIO3q4biL0M/5b2k5019MKdIPeX7SBV041ZEfSutvspS5OPVRc7bF8OdF9UIJg8AteP9/IJO9ZGhk3Qiw+fj6MrPHdHCorStSmEzM8oX1/M28aM+3JjU06CHIoSJvnSYF+8pvV1+s54MGOhPJ9ojNopz7vGNvWzPxeAI2O9o9rrUno/wdL7gjrHi5IMZGAEj3+nhyDeF/pWa78Y0ieZ0+Gd8mqFeUzSPrl4zKN8/5Z3SsIPIOcRwRTtCeWf4H/XFOfvO7e5yRfGRbDXYbW7Gx9HQ4Ln5AdyuO+KPclcaWNcHJuNv23GObfPU6yNIzuInU/HEHmea0Ar8a+3NNHed6fvtFhayr2qv/HRgv+h3alsWVB61Y9NX/lQl0CO72YUKeGi085UzyvD0cEsdDNXOOoswCznhn573a+cC6NDBom3Klted/y0yLUlZ8ivqjM8Hx2VH/C4mt9kTzBJF2UePSFzOYIFqLQR0XvAuDi0VfMqIvl3ep0GfnGi6zEC+UDnY1Ot+FGOAElXU31dRVJEJPwpvTyeFS/mVG934B1xrBlS7ZlMEZZTS+7+dWLVAx/Y9N0Tr+twvZLbW+Pecam/P0nG60NlVmqf9VF2Ot5YDhkAcbXHrblR5ANBFBF3THzumB5hPDD+T3RPr78YNfmn3ckBQqn/U9IfbazDBlTb00I8PPWVCne3IzHVJ8goWHfCXu2Ugq6jUN/9Wp+u7x6Hpenwa16YM9PvNu783vPftDmY9ele7yu+8Qm5sm5Fus42n5yWiaadCeQGQp1xd9L5Jjjewd3HJ5gQt/dCYSHcrY0CTJD0jtYNXtlXoogTsdzBunRNWWP7TXLbndc8Zxy3NMYcjL+uejr3IfEwwzfaKp0+WD/tfXvBI9355Ed988k9Gxg8Z6Q9K2OX/JLLHtOLsXlb3tsCIbzD3OCQ4V2Rg25HbRtHsAWbOM+LjeZcr88zd0J20AeZF8tYxmcA7AEEkrK7PKN5VTZpcz6vj3lFu3bjCN+WYfg98K3pbsyyCcDLyj5ekZfb6/MBVObVnGrtu+O2bmn7LHXb2GE44qvQ4H5aCtfL6VO7dUrvxu9kF/+Kvfyufa/v0/wxjG3MpWxgbKd8TryUym55PoBnxF0b67+aXkXHbnbGX2/m35Z+O2L/rikmVD4KY48i/2LSOZskgb+UfBK8dAxvXbyUUOTHdJrEXq0LCDqWbtUntFuX7q9C1iem8foF5awUxvFSxRhQi5JJgNbdOs6NqK0wWtY7jsTphrPDGzu+BsU1HMftbkK+e4XhXPV24UoLWkL1AjUyhxWDy44zuoHLFijur1X2+iYck2KBPsYKimqQzcALfKgcj+aT7xWlo1/WvrUpT1kRjQLc/8DiOmr05EfYCiwCrmk8agC6QueDE3e4NjgUEcHmd6Hql+L2+228zjgGVrMNoDDxdIqutuRbEoTWbtndC5TISqaHWwD8WIWun8D1U0JxXfNEc66J0STthNMH8PzDtVNu2weB+8edAfg4IlGJ/iCMcCeEhkvHha7d6/ItKPf8tLsm5SnlTtjlMNZ4B0Usqqz6EMcbLTpcqBSK2urRP76DO2jZd08aLrPP9Nwj/R65M9MXftYOVMcH49PnhOFUYPcZ6drJywvPosCXIeJbbBFBbGen3URNtLx2zBqv/iIEAtWRDdSI2mAWNN44lHe44v5Wcih8rb6vCL/UHPuiPRstcX2WLeLEZgcbA6cRqM39K6dXbNQwnIuufq8IT7tPmnmhjUPssA2ZhdzZ7jztCaI1x0Hrh9V3P6wcbRy5v9b72474ZuPK+ykU0akX1uKFIcfb9GnH8Pg4+PHsJVLNxRfz4niZ8HkdohmNej9MVttYx678ez1jOS4/iWYA6Jfg/tKIIAdIHljkxPWTIid9odRka8jjkFvICGZvs98JGfzccEjlHbdKc7NEtNNC05JzrpMYvxTf+Ux83eeGldUvi2Kw+4/VeO31FMifq9jzj/XppxUwDU08f/F64kPIfsW8sbKn+2ALnro84zTQQzwDQoYI55/q8dfy+n0FMtnN+Jr0n6DzsnDsjCPzr/ocmUN7l2DdjaTZF5rjfNJCRMRzdYMjOOuX3bkhFJXLY3zBrluwAZ6ibvvxUHA6kG2xJ8et8WwW1xciIo75i28i8PG4bMWS5zrzYt/V/OoakJ76iTQxpZzOZfEe7/uaQwrc0vo3tGWwFF0UWLZAR4K3GTotTSh6/zv9YppRnfKKeTLlq/aLfXnHPzptAiva7QBDnaMw/UTzN7DsGVaF/HWPopxSn+98KsEIP9XNRd0uZcZotndxwEY9M8ylTt+ktPFCSdub5MOrbjLMxd7r+LF5vh3fZ+067OVzSoGnCQ6Xk+54Q/K/S/LqkaddXfAA9E9Z17n8wJJrpquGPivUmPOdzZmaz/xUJb0l9XiCe+pP2HBAvepl62Crx3n2Q+GnIEH91KgGp53ewyq9n/zxfEgudBuOQq888b0rT1Nh3Sx03DieWNNOvxT3jzbJqXwwhhJRZxGiLToGTD+N1liOeBtyt5MifMwM/8VmsDKsUwuQ9EPtO895KR+aThG6BPWf7cuIjFMgHNF2WlYcd3hp3TAQCiAhAKjH/HZa9PwlTyMw/1nuM04dOerlYqHTaOL3ufQrt33DgciwKOL44LA3Rv5r603Uh/t5xVxgR9viucZzeL2G5mywVsn1pBhnivgE8dvAXUNdoCXGAhXvb3QKPg1wSvoA7j8U9xfWcczxwvvqv9caAJ+AxjAX/Ylhjs7u8Pqzsm7bXzeclPG1ugvdG54ZnlgE8nwMu/eTRMYFI88Jtwc2CiyeL4wDbwuER5aDfbwId+K4l92Rv963SGs+1pX5J5AnBSrKUfEKO9lrGpfS2N7hoge1udqv6gidoxh5td7AT6wx1TzFOdcCF0a68uwsHhrNvNRD+ji+yLPRJJKlTYmP0I1yTOe9nOF71alJ32PljvRZV1j0pXAdqevODru/q3Dnc66n69fS2zvU53Wmfpn8RRvsYU8xjmkN7W2y+VRsu86fCmAgvpa4Wu86YrLOYiPSuyP/DR/OjpzYNHk6geY/IP12xP5/Mb26L4IF5yHtxnEynKy/F2pt9CoumujE1OUS4HkGJnYfv9ghz3nPL4ffinR4EuxC30/lQ+d9sTNnbPeDlAthDqYJHBain6SmTIz9GgFo4+3PuLzQ2NizMGRYEfLjSW6sXXI3ljEsmoa1D0bf9ebKXyiB/rxp/1SoOFu5r7IEnrARE4g5CITWbEldmefn/TcrQaysPmxjvyuJ9L4co+1l4yipVSaPHv0LtDHB7O3a903BbYrCiBvHvTv8DLRYYNK9/BTJ2g0LUFcn+MNoOfSf7dMJZjewt/LsffT+NUUdocTz9x2QfueRqO1EHmAudzGNnZHMM/HejYfvyl3Azn3t7SBxEwqRAvIwg4DA5zxj5KPjx5Uzan87trf3xemoKaOlOzw2Wqd2n3ulmOTfS0We8m994t8ET3Aq7vuLuvfGWr3OC61jKnRErb9CzqGtHqZ14qsvHXJlbg688gWZlvdTGwzXjXC+7ng9AEh1r74nXiaZzXOUaeKlfPx0rAjUkUZG/tJo9JPUaaK1/RmQ2ab0+jqvJbr9CEbmizrQDMFaeMAnbXQcmq7ysgzPOy76oozK+zy1DcHJUfHKgD7VpdCXPIvrdr74ciFoLMxtfgia6XxO4wVPIz022fmmraJPM6+c6v7thP2Xp+Bdk64AbDLskzl7cs795QjRwWZ8vUO+HpG+dOk3PONFOp6kVNr0xn6tj5/U3VNXAX+lXG62ONuxvyyftoZAPH79kEZDoogNZCqaGzkfSxcutmHIfDkQKV7zwUnH77rSpANM/WeZ2d+7nqGoGyuL8ZMkIv47HBxLQIbz2nmtnpdD4vjhAabxigffhNuUn9Hh/Kup60AbTofxezUW7CRGzzMp9kObJ1B5SJSKkX4ZdlADEVM5Lsu4fckoCe63ANP3gi82enBub8Jhe8b2Z8zRYV7Ec/oTGK6eYlf6SGWFbN86nJPMsfkh7PQ7JaUxeKdDUr+043LCDf9suk7R0/hd159Z534HI/CSvZ102pfJ25v0poDxDY2+qvsTfdLpY4LdcMSbHmJ9QXfS3tp9gZPigOT2MHS35Q2+QGy4sKIX7W+0hQ/tAAE8YGiC69Mh6sMpHY8f1vOXZf8LWPb3fgJm5cVzZlS8v2jz/1h6c7LRP1vmr4zTy6Y/wMW7e1g/0k0/GY+TD0lTJ+3veD7kFSNaPt+mdzLkfyj9dsT+XZNg7RZ++oJNoy4nOEHuNndBEMfoKu3kEMSC1mAk1wVy3/XbjeGse2OkgrWr9dvuhHo3b4jRimpGJ13Zl2W8GfO+FLcYl3ho3h3a8TEleucGYXkd0QhalIhQwCC4oHkc0os+hTHU7k7j94DvVEUqLres6CTageJRSc6w2YEV/bJ8Pl7bDihvvwn3zjDj953Iur8s6sp26T45Eu0beNg9nPfDYL0Ul1jk29eiS32sSCWo5E7lh3XCDMUyHi1ScJUj/LmCr5K7O5+y7rgUhDYQY/ggZGkdEzWNa92LmWOBq+16RMM5OagURvekUEbbF6A/tOKe6VCRR0hdmk4Ki0bV9D5E3+OuwEG5jChWWFk32D1i88toy+9pCRwjaenBOLPHZtRfPequOzC9fzbHfMf5onldu+Pv7FIU9agk2zXv9QladKMicUlzqcBenNmMG2RUs9fvkb+Ep6BTwuvaBc19lfX7Uuj3hbV7WmkXr+S8fkosjJR0AcqDoLKiWr1NAHzXD9/ntKJLKa/1pRz91vALVVx0t+tCbtbRF71vKB4eIepN+zFq30b/tsijj3UHbyy2KXD9mWMNsbuxsAb++Yfl+Vnrj3GZFPqrPRPE3afdOBIF8Fz9znuWEZGguUGgyZqBXwrX6W01AyH66XWdIo2cZqmPQafOEn1HuEjQ3NFg9/IsF0KeIMa7PNfWJ4PJ4XletMHC//xOUOpvwYWjkRb8rp8DvFZWnpRXkHctCdbnDYjdo9l3TcbaTomYTxmmhGe5kacc+H2UPVqZ6a0wJZRI2KkfAR+NL0f4geR3jPGT+BMwR8t6ouhSABklI/kXi7z2brrbl3HiL+XWylOJLr18tM30A827h2mRf+VNoVh0Flpkr3om4EfGu9go8hEIHSjmC+kgZd5FBcjo2b4jHGtsXB8uzk0B7h/S8gKbnhz6ac5Nr9dxmacoDHkdTtsR3GWY0533Kdh+zMmcF3HXdtvVLapVZ+oRvu3kG+a3XNea+xqwpY5YyzvMccKB6rb7uu9oLncSXQ3+rpv0efE7nRPxqyI3WGZNz6Z6KE0yec1bQZ8L0yJMtxfL4mdbdNlgd3g6j4687WFzwnr0edndHx2rdcRJSi3PbINr6Y/P76PvkKPeWxv8jOdg6ro8cL1iGp+rlmP70a+3qHglnLQxWlX75DdZhpkWwp4B4g7x6wnconSCDnD9CchFJ1YhT1goskFgGyQrE6xXQ+QPfRJCi64mqdcXeKWiU+l5ZEKlt27vEO9ezuQ8KSiy0ckAQd4u++30g+c/LKrcTg2SJ6DOP5kOgPOVNmI2q2DZ3q6Xf4HwV/OnUJV8pjWPXhqnJjFO+hTf5Kzj5V6Z+WQdx5mf6sIdzIjNQQ/t49VlBXUl5gT1m9eqxJu0dxds06xSPYIqo6fkeHTcReTuNEEKdnb+O3lU+npIz9c75vV6Px5tYKIIjUc59aieXMVwlshlAtvpXhkXziwoo7D96Vm8EtcRFRh6nN0c9IFimwyybePHBzbKsJbrzkKvIXpy/NDcOaoqbVhZPvf3W9HWn+ir0yWzpJPsoXYWjAlp9CkqyXHuNhFHpXMeaWXZ7mfYez2Mi0tXf+KO2QknNC8DB07jr4im8OPhCGxqIPi0j/dtVV/0vY1F2Do+X7rdRu11WvXN7t6/rY/UXlZCdRPr2ezzvXtbPfGVZNIxqln2R1sTQ5+Zb7Azdi5fj2gugUD26ZvKznVgGwNOoy435Rl+d/9HyfPmLlInxWUnLrn4rkytlyZrYzZlzVnoukBQ/uE7R78C2MpsgWySzzYcKJ0QQnVMoo9h3up+BTPL99jQwZNg7uf/dPrtiP2bpr4IPE38soCoFDnjgsGFJnZhUBZ4UHXHYBibxqNbm144DFlmFkPqu5f5+apKat23Qi46nd6F1QN5lGTAh03YlPZcgeqLa1RoW3h1OTDdZ0b9Xnn8TzY4ioEJxBFDRbl8LlhcyBR9vo3XxuAIhs1oOTDNUh9nv7UIqjguj36zIXoBuG9r6Fvt6NeF7CUUqA+CZbSW433ENLGuTR8SG44CO/oW1C4qLTg9SUZ71PqwK7S0oOEKWQGNxi0WvO/odrS7OQ3D42F1mcGsF/L42iL4NHHGCvU4cFSm9HspNnFUEJAGXsu6KdBC5fgY496m1hessIayynVTW7zA3hV0NzgEKMd1hRMLKIvOxTDe5mBT2G9ALDppjcuVz1VMwddaLzlH1yYCzUhbOxJq0QwpkDrc0RNHP9vzb4logRwM7yuNNSsiPGXICcvK8LR4UdKB34ktoBQjBrq34WUetmR3ox5hWQzaVR9HT8ex3h3eTif2rCx88saQQ3/YMV+O26b8k7OtiBL/oZTf4W1OySJ3mYYb/w+8dVlq/YlrBRoOuH7mL86jo4SfVOB5D/10mIqDGAhnW+cPXEcedY8wruIYuskYpYWDWLglHhDHvl/1XeAaDY9uHNN4FvpR2gzgebtsfJHYoGNcOV5i2CThW3ixNtv4X7yQtckm+u71NzgnI7fPnXKMMeE7+KXLHDTHBNXT+1kS853GXyPqauhH0Hvpj1JZkhmTfCntjI/L+4TfCc75mcFDGyC8ne4U7eLU9bsj/UTXqc0pFTku1sZwxKsS/Kj46vSyXamBKh+mtl/C5j9Hp6tW2NsCrRvJDteqluC6Wz2X7Ly84+F3epumY7vKe5qHpwXbzTbU17T8zvkYeaiNqmvvdtXSvyWiYj/eDT/R+qQHgmQsko47P/godX71q+ld2aIHvW+I+be+O0ngZUWIcf24Dud/SrzcdQ/iB8vZKOudLRiqOYD8WNX3bZFudNJrhrzRtyk/P5voptHuqjqPfR2TTYwpV8w103tU7IoMGW4pMWfQ0TEomo4JWXjUC1lR5/vRvzbALPdZNyGYgYYa3bK1OiQz3S7vcB6zDld3mvc2vMyLucj8Kb56mfgTYFrUHRUv7Ljk9g/8NZRotiNPdTtcG+EMz07pnbwnPS1g0vacPscxBs35S9DvTH7lHE9h03iwZCdjnryas4yv4f2nOn+kNu+O7fbHAsgE+wfpo7w+v3lcW5nNNm/lK878+Necl8pjE4bXXv/ciVJ1jDnot8uJYuOYkzOuZmk8LuoCClsI/tqnT4eR8/U5OuAQPj03fNU8DF/IvNZ+0DzX0aZ/tCn0+VfSB/Rz5E2/Us+p3X+2HgDFGXtoI06RHORT1V8HmKKh/dGvzNde7leer/ZlzPdX2q/1Hh6zbdjss0/rG0/Bw2d64tbHE81Q3VvUeM8Sa2Wv2/6fTr8dsX/H5AJKgNuiXXOholItE/RNu1q4nvtKBhM70huTKgu2d91t0neQlEmka4K7UzTKHnas8B2xm0OUd1p4tkdG8frCTeT3hUXJutypukUBvGASZVE4HnLhHcaxThbyL9pV6mPonCDHLJZBEJGCirrYxQoMqB4uR/X28VsP1do0BcwM4sjl0dgX1qKIrruc9F64lcvWqNsCWjjHnJb6DmEBBBf0qRZV6ITpHfP2JT/V6N6Ps3pSHoHdNSrmfNCqyHg9VyJPS5sVjxCkc80ALo5Z/39hzOPHNgc98a69xIINsUUMR3RURk9yhOWWHB+wfE4AjOQhb0RuGjx6rUhvGG6LjlbmuNRnvvPad4o+kffAcDmg7rDzMl/Iq645WoqP3eKmvVxXcp1/uf/0K/HszpDgm9+2a/eRc2rpcWqEnHSmorkz28dNDZjStvGChymEQWs+LtnvTVPpuAWwOdsvuutXJZ23FNHMUZ2h4Hsdnf/6AJ8iPhi3/JqinVQAWCSqWrRyHIcmWGMLBfQq9wg7PBFJCLsrpt0/HPLI+nc3eoi7TIF0FoLGmhesBCs6wOkM5nSPQsYG4q7YbDt4J9+TC6Sz0MqzDDrJYaF+Mw07XEVGeLTkIDd8IwTvWB+dyMyTB1mxldW9bMzRJ82lR+VvfJbT5pgjshS1cYjTE6gMEh6WiU5jfFcUHy0eTjFpPIOnmJj8sh37RafxSPtvwtF3rYP5fpn33JwiHLyBC55fLgdP9THM1D9vn/N2naxviijPe7k7++dRjkWnGGjT60ijzSKZLP/pGCGvz8c+fncaGXhN0Gfj8X2BguvanIXTbmiH1fXpIuyor8qfGv0O8Fh/BuwEESve+Wp3Ykkbn0MKPd15UGxcac7zGC8tvPBTozSunnCc8oYRT83IjddK461Ul7+eNskwfJJj4fnYyXCKGvyd3qdPNpv0hUPYd9ny0Bid6pwcfj1KdixnWR+dF/nmOOdF+2JM3cTBwga5ebfx0yh75+f9lXPT68rj73NuFKd060Oxr0RTHbDIhJ6mxS+l9uuLbMNlSMBqhS7TYcs7h73rgi6ffKMW7A7JznOp7ex/yt2CAmdJGw2k7hMRsda+fC9ZuE41EUAVNySesY669KGBcRbHEQHaF+bY8aVIfU6onRd9H2W/5OfaoGjwlZV7zmc2pUpETbq9GOkCVHXpxCZz3A6JsfXx6+UA6BcdQywoGw/dHtkigTkNtLLqdiJEAvwkvd67rPSdhsN1JFC0pb/j8ouO1o+IzGTdyjfSuQ2gxjsUe5+IFrdF54FOo30up8gx845M/Izb50o8v4BsN9TT3DqdBQ+rfOnUt/rb5XGlneyP7Pai5j29eRpPrS7HBhXPgtDbK0hScBKskTefO9ykzxU91mzKiKYH0tbyVjq8QmPNfGvD0554raB0w3SSm9Zpjndvcl+YfwlW4IFip39qlyNON/herAV5XXlCSnvPemefc0Clx8uvRCI+OeBwkxcTT3Fy7Drk6a7KNrYFZj7tLHicFplXbDCWfVDq305rMQbGo8Xnhcu8K2366zvHqdD+iaf6+LQuBny85oqcZ02KFFjHx9TFSUxudfRGtObnPvn4xWZtXs/zvET7DFPULdh1m9Zu3UQ6I7QHPhXWN7S92RBD3q2NwXcQd2yz3Cd+M6Yx4Czr7M/eJtOzy/pJI6zge64vkWyLaohvjhtte7Bcx5dg5zGexYO4fOPzoG5s/WWetPUZCKd7T433j3raf0j67Yj9GyZBMvmT8s1CVRTbIsax7jYxQyGy6KdwyDExuzLelQ8gFobiWN/b6vLEF0eHwq1LIb2SsW6M9wqOkrBb9NQ6ljAVVXcEr8i5vAjaGeUumJph34XlwGQSiByXckzdwHRf7m6SBof3S81nqHR0nTseKKLjmAgOj07qzD8NINmcD1G1HydEeLi+Yc4NM5qZyTZHQyj5T+RipdOzymKtP3Q5zh6oO3cVJWJTbgG+19HNm9ENhBNWvP+CiNALmnEnjSIExCbEzFjio2X9pRrcHskbKLxhC9sZBchzM4zh2H1vBa8Fhx/L6Qaa3B6JWeGTO51I4XQGYiGFcRfRmD1SxWG/dAlqX/y4NXeou4LRaCwUb5ftoRArcEtEe3UlLWBnxYGVme7EcBibohJDfiOPLwblFdgx2CjOOh/C67kavBXLkRywSixoBQ7aEdE+BsURG8qsj59UuASJxMAT1vHDvc5SptahUFz3Zfxt0UY3FEBgIodxjVXngTEOxu+9W3EkGIIA2BDiMVA6Mjd33hu+DLf6FOh3HoEKNX5B/bu/EAsrm2xxXHSnlpdnZ6nrfe1oav8MhxUZ6dGmLRK60xZAbuwwR17QCsM/yOOAx7UunxPf2XYb3s3p6kfKeUOF9pszcW2WyT55+eADHa/ENmNc7/o+x3gfmzBqhgUDZsndQHAn7u1H5nXjyOWOidHgLz4HC8+nvohtquE52T8vAE9dx2lTX32z0kWLxLFAQA6p0myXu44fp5HAU8qughMQbppM3tJGKKg4F4zjX2Bm/kDwlQUfnlPIPAy7G2Yepf0y8i5kyDKeiu4hLV9vk38z7oB588iFqm/S8bfjYgTrhR2XBNf11FrG5TpvKmqwr3nngzxsZDwlloWoYyRPtY2IS/avuWEnpgQvq8dQ8dxKOlCwU6mOdxrdi58n31no0Jrfj12/ax3+bIs0PpAKHxcb8455Riw25Jh+tHv7/+ep6vD1+Vyg/VaMtFsXnut82yLJX7CHsX2ey5/wQ2rr1YLaWA1tUu7zgfXeftz3iXdxWf/N5P8KPNeJX/KHlj9sGYPDHdV8bO52Xy5cXCr9yPeLU78+6k9dOA/voBo2k6LyFF8biNN03JZ1fvdcSBdZ1w/F6qpWNIcs7+PQHUt0f2rnPcWx0MeUx1rb73jOSs6Mq9EGZNqg06b6skHIuWsd6QzQWLua0/vv9CCK+w8lGxc5t9iB+Atz08s5fXhnlj5dN97Et2FuFB3krvnyxITSMEI3L3JmqKfLza5rAXWzY5+vVG8M9TtcFd6he2VCAF35uUxuofdtPikgSrjmeiJPK1NW2BtsrW6PuN7kgtN2yPxKl4zbrc6LnjsqfJwoH4DqOO1jJHZamT+LPH4VFckImsMxFfuYTfNkkmXcXqvHnR6x4dizvHS+IE7f4YZKRHybI7wxPB6/0R8LCzKcX0931GipI/Ajjj+qkDYleZ99fYFxzLCIV6o7LjcYGa9MRxP5N54tBl+sb3t+32Qd/I3q18yTleR7pfHZnHVMk6oZ6AEaI6YhpSnXxq+vobHTtuBEWnmiv8M0nh/KMBbERqJfmMesszEu6H0ZTzya5FKrN8B52T4TK3b5fah/dIZ2XA68YAZ2qIfa4XyFRx3wuQPrA+KIwN7HF/OJ5VrS/hwxGvN0wk9kwoYbvpO1O85f2V+FD0eUjSCPSqA2W1v5SuaxEYTdG2XbutXL9OakoH9H+u2I/RsmxU70vItIJmZFxJlOWzsS89WRRqyg3G3hbMrr7TdmXPPZBGQHXGHcZnQhJ7wvAC1B2ZVN+h7CnBeQpN7h6MVOgmnaTd0E4NT/fbdyYyTGGAujnvrg7bSj+VyYxt2HSFzfD0BE8PA7g9/1FcgF06JVO/8Vy1PhT9izjC82s4Eit5a7mMLZYZ/FUeFOSgxHW3v+HvnG8F5rl7CqrMVnu3+QnXZCC/cn3Mf9sj1tijnlcy1EViel37MJV9JSM1735e40FI4FQR6zW3YwG/yPINT17iZnq8MXi2Baccl96kqp2rhrey9Yu6k17yhyg8LBCDQxDdBYTpGB2S8tqFSfYC6rud7usJL6x2Or/TnBVZT+ruA0+HJBY6CPyxRy3kX/q+kGyq6FV5prg1N87vBOUOf1rONwn6m/a9GCeGuZF8lLLl8ou7Q8h9A89zppjLS8AOSxLA52GHf49IFYZCkLV5xoPE/4YdrjnbJl16z3yeejpiwVqkigm8JacDBEqnSn1Ub/XA/zKsZFtEFdn069QC23wch16Jx3+83ztr9iw7zhM9p6pSv01PhNtM/j5bAL8oS4aa72eTjIVv5UMaf/DcjP1l2fWyA+18ek80uCJxYIJOvYHOAuF+WAK8Fo5HT6KgsG9myLGJ/Ke6J+VMfK0EaZZ5L1TbRyuG5ilWW81o1nJ6OzlOnwFB1k7yM7Fk6JF3SnxYccf3pJ8Gx44DooEvB0KgvLwdjogdoXFWreHbu6cL0Z1ie6infSYKTnDpe9Hx1uqH2OE0X499Bu+RzmftgCURE2OMed0L/TMW1OBBK/41yhZ6mbIRxGm1Oj08dL21Ii37wwlXCOR1J/koxGxutguI3QBbK9wlscF0aTtR/UVtc/MOibXkZ9buyd2vilz2FmOZLPAwR3DBg8qqam+8lBEcXf4OmfBOP6Ts5Yfz7wwpFnBsAks10OCvFM2zgU63SKdReq6RjX97Jz1F86PuJ0JOSmRtdHeKNW53HhTPBP1KsGpgXK02qxEPI6jwrnGmID2xjQQzgVq0epWodRgaIv8jgUHYWdtUJ/yO/KeMT6HS6h01ybdK3YhGcOM+cTRO9jRKGgOH+6btV1W/7NfRWnI5+3bZ4VmxDY1is2pw0lP4lpuroknbQStBZXyFzeScal1LFg3AcuNct1fBWjbkjS3h90snhXikpsio1nT6wN4ANp17rmN3LThl0g51QbP34W5H5ZlKnY2oNvDOcNzZeNi0rQ+XYlWQGoftehU0edj2go1pbcCdvpRqXw/R2O3vn8KYSPyEo8oPNsoWpG/tv1pp6cF/PYv6AZ3rCyOYibbbNF5zf4GXaHv9PBxt8abFN/Q3TRHCunARAfKLwi1glbnZJ9Saeomlwk+UvtsTO2VDWNJbLPjJOQBQ1nW78VxQYvKJrGXvfvfSx6/sLLgY2391O9xrZ9HKdIy6ldq29z8p7ocyg7Vnya81LHxGHbeGqvjmRIz/fxyT2+sEHlWd4VnJdyw++YLw5E1sO27ab/nVLPd6KTzoeKPsL19Uk8wDK1dYBzc9S/grGnD+7h/T+dfjti/47pWkcmcZTp9b0osBytBp94fpQEABE8f+QkEXeueOQA8wHBirISpBOWmW8XoP7cf8tSULe7vgZBusBJZutnwKfh6A6H86SJi75b9CsEuO2S6NUPzZ2HDP8Gl2xMII5Ya0zCjUl2Ioau9ZCCq1hYnpTRAkDiMcoBcayJR1LpBejXikhNA399r0cWZwfrwtlSKFjZCEUr7mGCvc/7uoLG7vUy2lRAnsCTF4GN/tbOZ7UdgfRODJmyGotIX1/scadx4J20BxDevwXy355H0nHkUXAWkRcGuKdw0lCkbxMIy+nFWosLSFkRtqJxxC0rfjFuFrF2/6FhgIazyfFrx/rGPaRkKC9nsmYk5hQl7DDzojzj2Y0tR5poRvo+ZR1BTE5FNce1/gOAKh7/ddERvovgY4PHI+uVJ5bRaLR+/7Hwfv2UpC0vw3PD/3nEteMRzucoo+PW8Hy3zRZlsZ5wwIp+OVkAKItD2cfEaUT+q4+J8RLHGUfJdmAmDVps3F7tSnMe4DT3bA3w5gLuB6HjqHC5Yx2L9qpjZPVZnoD45oY/0umf+NVsEwTfrYtXOc1eCnkoVqT3tUDxSG8vL2qyDcB3HY8SfTko9N2J6eWef6COiUUV+GKV80+nh2tyAKvg+jkwa5ODdPJgxfG9w1Q+gdxYI9kH6cfgEg17hC7TxMpE9IxWnuEDdjoAvad5M5Ur8lvM2ccyzWVQk/XdqOh48OdxDJT1j4+Pjp3Drn84j/Ujx78lFzp9fK2R0neepgLcPyiSPPQh412P1d7NcNI4ruOo1PAsgbtNBshaaO7Rgt7W/SVVI6c2Iqqcd2qj4recXkHzhvsedO1RvmVcNWho4x1a64vTJxjcLqOpH8XBCvpNMHV90SMiyx3fVOfGt6lt1/Uyf3Ua9Rv5+qKG681ozkgFgIeUdmo/BKw3TbJAdPXt9gj7oX+ue8d1FP24Nnsf88L6u0fkGhx9Ycn6eLdTT0oWp92gQwawydobtuiakdFlIcJobkWuCvWVaA5JX15PcYhZ9g7r70jYfy6l/bUS87du4/Hf8vJ9ds/oZPdl2zKcijPk77L12BjDvOir28VxPDEQeofbe6J0zOSU2jzNtlrb/lMaL/Kyxs/7Rtjte+N13VnFz+KYRMk54k2I6VrFJgAq72f5T3RRnF4uC5zftTTatO5sF7E73jVsEblRIpBw2/q46Z4QsXsVF/yXj1XHwZcB6zpn15Ga/C82kyIdEV72lj0a3/Hc9Tmvl58pEBs3HY6LtgBpIqnqiG0zNTl1oit9Y7G34WNsTqxwyJquVKJfGS76Xa/n6ASOnhl8Wo6YMas+Zi4HJl2Er1LxfrPTWIc/B5dBkXbySdAAdaO17XPEzTlOblPm+s2CdTqtJdpjHD6x1i0ePGBS83/Z5AzchWJU6Kckn7sTD/Tyj8Y4fZNwhxfenPNFl8NScM1zQFp5XkLrcz51VCngyDP1uXjOYxMLk4brL401j3Ua3GU4yD4tXr1OB3F7dnRYcLGuP5b5V+VV0U8Nrli3cEdw2Swq+ybANqYn2yjy8u8u9ya52KYpy3Iuss0d+h1y/ZQM5nJKGZfv4yoVd55HFYEfbe3Hp0+dxneLnq/IY+odthBYtf1NZrqeeacIU3u+rQFyWUGc2lDqo35sR99P3w+4Fu6XZ7V2Jwfepld13iFD3sP4s37R6aQc6d31jjKn+OoG6hPX3egm2/ByUvEabaV/gO1zfu/1nnwOm27SZeGLVFj0Yew2/seyDHO5DuP+UrNsj0KV+unfXR52vS709k9T4VHETLo+1Dficxpg7H3d7HUQzbl92vxTY1N/U7vwtyP2b5rCCctMIc7z4YwgSfPBBHTldJpUh+JHA/sX5vvHySItdyCSEfNizg5XU4jfpU1IzUIiFuneMPOoszHzUZElxUaJmUcdcmCATVimQSq/xoS5OZk/CzxDikVxL9MUYFe4NoPIlXJfiH22hruG2WBtunoqszye4Y0jWLqT7BfQVXY+S39XwS/aCcPDSk1b1dl2w55gY7gPtFpWV6Y0CFuHX5jmRFG8UIe2J4XRm9jogRU17jKVjznOi8VN8Abd9TkyKeiDYrAUbjHa7BlWGWXn9zQ2fR4y3k9jw+Wnz75w3/H1yql7aheIQRp5/4Ge5zpam7QoH8fLfZkF9P2oRR1+ooOYzxf1LXXu0v8+1rmbHWWxP5ywo8Lffve7lLxBX7ABMoLdYOMFvMJiGq2XvrySuRN9XnOej+TuNE/1jdxufLwbWNMCTRFZAz/B9P7UtlCfC0IbX6S5LT7fOl932Jx96aEsmo41wcXpOLdSzpXHfmzkpLfxT+dHLMPQplvjA14Pl+GubuN44Fm+8HDildyX2LV8SNtRSQWgzLP6/IJPHhug/IdovD6WxVguMqozgqG5Nl9e0jhHw76YZ1xHjN0w7p/g5XQ0VeirnPed4dqdr2Vy93YbeDzkHiHd8b21R2W6Q9az/I2M7f+oNMmcN/TkNMv6dVfH3eE26b+cJ/JCkMcbYJNhsfjyiUzDnm86hhfAaEPG6UvTnCHeuPX5U5he6VBNV97gFRhsNf84fvQunKYXfe99+IiPIMbqyPOoTy9lOVB4mi/C6SV5uhK9U/4kcsHN+FinEelDwxEJBW1Ipc67okNyR+zalyU/6gaXt/1x2u1jUWimHD5K+U0mIK/m2PV3izK9EBuYi/5KsiA2oLuDCPSOndOfpE0RPsjDInPt8yL96lXVNN/7YrJsmV+AbnboFoHXCir93hxxPS/pgnzaUAHibo4H7pivX4zMcO/bqoZ+X41Omfk2WKsO9dkAx33AnJ3mXbHFx/IouHaahA6bc4RwxAW6Lcy/bd7EtTaKtVHd+JAHlvAciLGivgyq/64/NV1my9foYNukhgFXE+7e6HzTEu5mJ1477suaiVAfDrKHU+qYSWuv1hCi3k/kH7Fb/x3TxP9szvLcLHm4X73uaY6ODKeWK/ge+vFKjxeD2XlxcTzH5iqkXflizDen5NTH07sDb+24OvPVoY2eXr1ztc37eCP0phPfGJ9PbRz0ku3UJOz5jkfxfkKzDMuBJ0zprb6Duf1Y8yptNV3h4L85rsVHub29k36e70+wfzLZZxiqjnqYcGhj+6K+lXl+/bE9+Iqu/wfSb0fs3zBFZBgrQXx3kyIWn6GIReh+CXrupEccIVIW57Arq+MC0KcE/SLfJJT6Pa1hNPrxu5ffeSBNOWrKKpUt9w5au8kM6Rhk+12MKY5QIEERjOZKJlMVqWSsYncL8J2CxUb0gne51qcKfK+WjIMYr5Mh4jgejOnlj1yDux9rJ1lvTy+UpFgf/8Y6RukHLJJbYzehO5vjSAsy3iDII4tEgG/NPLYDcdGCRPSoO6j0h2Y9KtFOKEUXcP9xF5jlKXYfEVK5i0g/w0ExoGoeV77i6CwknUT/eC650X/LiqaNPr3QnHtkiO/ai7odqL1oSa0PsfuvHUu05VWBfimeca/mGkR9+HwcBPxkBQEr+vIC5FvgATRMyx7V1XmW57t/ZH4AC4buhPMvV+UvTlL+DkBEiHk0j0dG3o9Vt/CCnkfeKoBvq+DHvX4/Zd+BzJG6vFs/xm+aQEhDmdO9cMawF+PJeQvN7Sh3UsBoR7I8ZUUWOx/xqIo/svAVmyKsfFP0PYra5cv9RKwPXNcNEeDrxzfuW/Dz+Q/Iz8cao8fiFx7pH7LMoxJ9fJDtcoSePG28qD96Ac//pRFd8UqGSetL1B8bexLPokuW3D8U15/rSHiA4Ut+FKhqY7nJWOfjfTc1cDgmL5tyuHrq7ITxJ8A8PX1ekVxheeV5ItK/5/Hn3A8fu6ZIT4sXSx5JCEB5Gkg0tlHeImb43mwFItoiFjZF19x0OB4k25+ymmKZbP24vvOoe5ZzxagK2duiC0lPCNz2OSPrtI6Cgok2DQeBnyvxGbL2zs+YKxOeQ47W/sTpIahXBMiNFZGpOz92PckjGEv0Mb3jtkvUK+FGdC3Gx6YJG4/7y+p86kaHXW/cFkW42zfARmAcmSsJh0ey+ikmHF1cK2s4sN28jvfbIvD8JBme66Gr8y5z1Pd8CkTIRK+nL0S0Pi8+lxF+4fScylgb04Y+0ST54rgZ+Fjc5Wr3V/OCqMPjtJmnwex316bsWi2XO2IJ3ijDtP87fZRcV9ueMU3QODOefZ5sx03zApw2mrkzz8mBtzKizmGry097AtH/x05Q4rPufC0LWN7ms86BEmHH3fQ5pu31AZ7SX4ZngLGfNFSi8Vv+aaF41GuAuF7gFuw8h8Z5Mz18vIl3uR27LQI2lTBgHHQZd7YGX32an8WPIlXJlSnnGbp4wVr0leQfAYcsmn7Ksqdgg3QNAxNRfy5XJGWbO3G932bj7PzT6rjoRCF13NhcAP2+sK6B0szntuiCSWNOFV7oOPC+e4evZnPRFTRq9cZVKrx5seWdoiVFBXrreIpCsUsC920yCJY+Fn1b+Do5tbe5LOthvzezFOv8yeAQx1E71WNLTp/251F6pT6z1SICEkaL1oQ6zTxluzpJfS3oFFnndNlPN+J8F1Ydnsfwwn3I75o06fW86Hvgz+9gviTXYvwoYuLlXGVxMMUYpD7HMI5j3mRN4X9Ou0GrWCcp/XEHDPqQZQP7vCW7Q4DceKuodhOTaeOVxSGiWV/YM/7dr7l5UH+pfu53nDTl611PhE7b7yFNI0qiKmmvuoO5HMFMPFyBPJWN+xjlpY5RO5ErdF7uH/ezR75S2vTDjmcE26y4BbWJNk5AqbPIpIev0SSeJ5iD5Jhfev86b5LVoD5qNLe363sr5ALkp20gIpYY+oESLgu/RMqXT/QYIRx1ea0MMzbcTzpBF2Xcv7D3pnq8sLa5Ev2kkzdbI8V+QNZR2jgBCux2ZIFteN7KT22enJG8dlXydZgpP5+gcKxfk00X+OG4JL1WfZOV9Ok6z0keH6cXE1TsR4nxGddq68/u/ygwv4harvmyD95+/B70eHbGdvt926ANFLtv8RKJyb6dQlP4PV158x+Qfu8n/rumD2godLM2IV4KADL+TozqVXtyYFZdkL6v6wDgS9jb56G+X+1XtPsqHY4MqDAkLFOYPePuo4UGUhaz3YFBvsLXaZwPAueUZ+4PLULyuL3DvzZD4MYylvuRwdEOGSAyRLkRTkejb2v/DZwCbEc8eTlX8hyOJiAr3A2OF/T7Nv0VmXKiUVbu48/GxI0Iscyk7FUFQ+v3hvhYqJWMNY2jqt4kL+vHRXW8RRcarEqwBu2joi6ab8puNzwDkK60quz5Oz3Fp9bfxw5jG4cRruaE5SQ8hu8Uxl5u+lH6jIKv04IgRHFdisfjxuNx4+vrLkeCl+OdGFc+VheqUczPhjyct/A6/uO20NrEudz0W6d6p78P0sdjAgSP/Dj5PGltnNosC+NDOuoKw/Mt7zYn5jai+Tey6kh7Ba7DvOvjxvUfcPBSTk98dGgv6PgDPnDU3YTet/xd/n7sxOj1Syv/IS2/2+XanUD15Ztyb+p9q8fKTjOnBaaO2/xOus9fkd2v0kmf/qDc+L2nAV6PCtyyNhp6petPPAoALSjpeV6g5TnA+Tv99bTNixc0wovTLOve8qtGQzOtfEjcL2TPy8W4Uxo26+55Pqzrr8zPXsVbXiYv9YdX9ub6gV1PQcXf5PD9NH1KD5Gvy0Zgk1NbX7r8UqG7b1HlozpQHdAJrj3PSKuT3vQX+JL2yo/6MrZxwsm5TDo0H8tbomC9PIbPqe0N8PbZi2weVtCGL81+9GqPfXcbWgs8oQcOf9o+3ybD22ZbuG066O3T8AVgE1rf8YdNSaaGXtHGqX6eHyPCT+XqXIKjnfLFb55vUzcKfHKYT64UHODhuuxqm6DvsOtqIW00UFDQ6eWUfO4wLaDSh7f1KzZdh/OfkS8nO+qVDVf0NUaODu//mfQKFtk/x3HiT0rbWE51A3XuvoV3WDOkPjBs8zqAtraHvv+iLP2o7Cdj9WIMRpy/q3PAaRElXV8/2AcvmxgjWv/CJDuko67yTiT+G/S8l4mvYzjxWvkLuPon+/VPn0p0svH+Gd76N0u/I2L/hkmB8XgKALTQYe94UZoUnosW7FUQu3+2XQS3Yu2qQO6yODEsJSZqOxvkez2LaASKFtx2nGAxEYHthnxnpN++ky93kwaC4DDmcVMFL56PBSzvmBYCjPo1RfmIAuvY2IShGsFUz70Lc07ixwB2Z8KQ9LEicK6fGvV6RF+0B96ltCutDl98D0XcDKdL6vPePwGd4Y4VOUN9cwfB9b2q1G/Bjby/RtiJ4nLGdmXGkTQGqyhwb0oP3edk0YLXt9R50b/fgPy0gfOygryD75b5Hoj4XOXWEVkSda6Oel8MYU+JCMYSYfvJAgG32fM6vAspdWeztc+7ocNZzfTfo8tsZ6QYDoA1XsXhetG4vRLAMZheudOnri82tnpJ0kAr3qNk9MK6Bwo+5ySiLyFYfSVHXon+a0783OGqgAI3cve17yb1aNig56cUvuoNlTuSftpYfKnVLYBHsPb7ex4KEV3HG982jrRDOo4zEyTd8hyMqLthB7Pk7+hvs6h9Tvm9t44jUeRxM6D6fVwENnbITRJAHsmjVtT51wPAl+L6ceP/+sfP1WcVPFWArxv6da2drX/oukM4+sbfEbAByDtAvS9f607qiJpk44p2+HLfQVUkzrMd8YjoH9bovcvB6881r7Y75R4aR+qtPuxzvswfwq9c9nOQ714uZVTeO+rPeeE8REFrqy+gbAuZjCd6F/l8TtLuc88bEZkE47bAE/cSAx7x3O+LDhgehAbvF+k5wSvE5HSR2wjeyHJXBXYKwsp6+/1y0Hgu3tYX9RlESzy/bEu03yPMJ5QwfEVWEK3RVDOYaz8Dbq2/cxCpfhr3nnhM4kQU5y28oxlVxo91OI79DrEbqbMRjanQczh8jh9ttLN+8H2nwid4SNYZMNI48Noe5wccl7tuIMjySvdGTvrnqrPKEq87onkVeUcswcq677QY4HiVW3E9nW4E2yY3IfxowhnjELqqYhu7QaEokRZMq9hhPC1GqMjieawD0/iVcXA8IJ93/szflaLjHN5+J/A/vRjw/4PUo1jTLkAdbymPYi6HLCdeM24Akkrf3aZ873Tc526Hey5Hu9yZL7/gh12375EXxZ4+tM/24K8kddVu4mn0+91iVM/X5wbr7ixziny3O+k3PYF+Zj+TZwvoaFCkLlD0Bal5HCY/Haro6er1E59u/LrrL2l328ZM25Cookv3JllV5KZ4++0oQE5CEZGTY6zwNa3PSA8bn9sz1/P7uAc9mL5Z9Ds+GUI07BTX5bm9gMs3uno/4uhbLacrbVfgOMwA2NkaTl5FPeGJ2tKHLhubbXKyl/x3D8yN+et3QEKrHjedUuF6Z7fdiU/1uZK62Xb5TJWDQN1XooXsIsooQJeFk3489PY96hsQUBjCIIjJvt+IZqsfow0SROe6oEeZ+nuOym7F1lxdBHlyonl9xT5ivcn5D+uLN+oJlqK4zHa+AehToHgsezwAwojX4C1N5y76K+k9AZoAzz9QQpVKJKyPNdksrHuWed/nO6+dMC99Jz/6e96EDB+/1jb1VUynFMaB0y7Pp1dw9LFDg5t1yF4XjzE5t7vd0q8f2r6fQHNe6G1fQ1ecZTUeGWNEd24L86nC96iOLwA34phi35jvx8yPdOm/T5Gj9Bew0HsBlZv0JOZt0xh5niZvyrpBi/DsecJW8TJTXoZT9nyn9IkjMdmd1P5rlu+6YJh+TmcEj1D53sbpN7e7+WIkWfSUP9qiMXDPR09lHArvQKER1sFibW5a828+ojHCVLBsxU3sJMKKrkj5yno++10AdB8E2x+b3yUqbO0aplwnqhXinIgOyn23/wHptyP275qMqUzCuzOZcG6aQj8xDVduRzp+cTeUFmakccSTT5Tc+a5Z14nRknAIuA/O2Fy8W7NYVLdFprHsVJ21e2K863VTUCcB+MZxHAuuchA2k7AUDAsoqQwuRYwQx3TRFKvNwH8Haxc0Xh0pjQVkzSGMoXHnDCkqfBSeAnGsR1FQHAarjBerdwXNNVlqA61OB1aNpu7VcNxB0trn+3jGNgW2AQDk5FutRp1u3PHRQq/SiXw2iU7P25wp1bkzlut2pZIXDehdGFd3vvajP2m6ge/NlGZFH+lMfO7PO433/qEqTST82UmwObRizLTCx2VkvQ+F0jaquIHpzkaGMRa+XWFyRyEQd4SKHZVdNgeoH53a+Kg4TmDHmlMfHE77se0293zajiLm8h0njR8AOW2muoMWGkwAzV/JNmOOsnHufbwUcim+Hjce142fzwu4L8iledQzzJf+U8wRvJ5f34hFhHDYYIAHKEdUu7xbx/hLodlx3kh753RMUVyxZNflJSvHRIOMtuMC60EmFRGz0S5lZUN6m3Pt+06G+broDPv7MJIHvG3TbpSPrS1YQAtFLZ/IvOCKkBn5r4Tv5Dza7vqluR6GZ/A2KeO/ORysj3wErNxajwRrcEQ9LC4Ijv5sHKZWtqe3CzosI5V4mm2WY8O6wNQMnqIbsZ420FdfaFIgjz6nPP6unKQRzw59f0HLscjX8d3LFeK1z3u/S6fqnFOjRss3rTVHvfsRUzM/FlzuZHU6V5S5GWVs3LbnOPw+yVrnCy63DvPwXSo67VEnyUEox4+3I6amMm5T/E7/RDqNa+fXJB83XX/i91s7MtZR3vNxxkO7b5Ntwv2n0we0/lfmwyfpZb2vbOWXlc5tFF2v6JgoC/Tv7up66zBo+TYf0SCfo0qSP7UTQwOv8tyAXJIbCjehRM/JWX/ENjthmc29Q8YvkOdIC+nxTpsFg9tYat7tHddXxsFmMgs7ntjsEH8JPEJOjYvPE7Nguhj7vipetCnRfwBrTaQfWd+6OcJ40Mu2Cuz3RmK9Pyc9QodnnO+k6B5l9FGgHgoQDAzToLt3u7PrR0d7XqWO92F+H8F7yfuocRv3S9Yx4CKK+0/f8ZaVvNSv+piTnj3BrBZ1GxuP7NlG23IYNhngaeW6XhprEdz/F6nPGwWV3zJn0yr12fbJ9XuhX0iMo4KDwxj4O2fHL/nwVO+UXuk5VEFnefFDD20MfNIdniJZdoTlFU/CGz7Y6z7pSe/mVKdfxbmuU/rV/L34qeyrej9t812+V3TxjqamYl7mL+Jjl5eCd36EzDvB82uTVWjuf3Sq2lFOf5Be+JFKtkE/PMLyV/D+H2hD/nbE/g2TC+riNPCkjXAVuGh3fiiXzPTZKIv7q5Z1JFQPT9oCiz8WKbsd6+KKR21pTEhnYmVnRlOWT4yFF7gc7r47Jhyzksr25leYlIQmsF7pxwWW7YVVHffv2j1qj9whHDhwo8Ke1bsTWEO2MfKu2U7M5w9Z48zGCQmItZjqFWjp+2baxV02KAZ57HCR2ufrm+CmnY9+b0A5ksoq4j75Qm9EjLrxp8jITAEEWh1dXt+lo1IZCm0b88CLtyttBzZHnAm2BXyotRm0Z/iLSBRz1Llzje8UpapUsHbduXYc0VyOfM7YCnJdnQBLVoOpWAyNnhg++G4jyTmvgBoM4Yi50rGVc5GJzct6tLXGdwHibh1RRJRs3FXiEblenUfLUaTj/WjjxPhoCm3pX0w4y8o7pQX1rhSjtfjtfX/KwqcfjayS9yD5XbMUPSu3AE9A76vytieNMa9GMfysbPi4k+M7+Cc7UUDlu9IRMGFz7n6y2BhDHLxtv1daHEbxu2IF+n3hfij+958/8Lhu/OPHN348vvH1xxM/b1l37X7Lur/5h9Y+X8gIM57nkyJqBjTTw/21CqRDDpXPCnfMaJLvApoUPsW65zhoz0+UsLqZD93ATfcMHxVLloXd4el8kui03GnVIkQ7fVc5Xaeqv+P7z/3zGqJrSv9Asovqh2BFu8p6H76VNgYOY2wSg9V9aZTPvus45oG7wIUW3IXMp93XBU8ena+APpynU794TE6J8LPwmxvDguW2MS1GUGXJla/xp89zXySitmNB8Ul0eLX6+3j2756nz68mu6TTA2zxvsh5rjTrEKA4UHKMa/Rn3zgY+hCojf6pwK84MIqTSaiNm3YnH+5qjIWzgS78jlhup0QG9tNTvKl2P45HZveIHkGrD9jxPaTuYLkfpDfL4R4mg5cjpbot8Pb0mt5+k1Of7GyOiEenBRrz7e7i32lLHkXtEXZbch5qeA15AMqvlV6zcpsjhfG+AKY7YU/wTBt/OF0CPF/MAwdPse69BJaDjhhc6gM0uahc5On1d73gxC9Zdk+pbGDg6DKfHClPfKMRs7vYQMQwd1j4p8lmlgth+3ceP+ByXKAOPlDzed1bXpfDMDlJcDC/K3eCMw5JFYjTUciuVFNS5DZ57vYiL5ooA2nve7Sm1/m0er6sftdFFCibXQUoztned5brgTOpbXu6V8dfLkyKto3Eiq0Ap1BY+TdXLKXvtV2aH9ZvhaatRjaj+kByVV+HiSytqc1ZbDQnmrrunZuMi1Ot6zWa5eOYZFoL4hOPoii1zXWrGu/0+lgf4/4DS5+0zQCpzyTNRKS20+OzNcab6xkuxhPf49vHjHHhNNruo90W4XvELPN6Gs7Up7XMewU2eOIELGDgGRWesrm78U+/zubxtRjDf31fwPe11Mh7yf/H0/B2Ie0TQ6MynMxLnjUv86z7Rw1eKTpHA7+LAceFgspYnzKyVoKesh5DpNBYHHjtUZ5Qvo2KaGptMr21FboAy5P+2382/l3mZMloXw+wOytkWVZkJ7MudowX/kH9eiV7mReKlnXVoBune+NJaz0jV0zd1ODNuz51pa/JeNV84lDHh2ae4twtkYqW2pp2wY/jv51uxPQYa3FeN0e/d3iklWM5BnreQHGRFDQmRC+NjgLuSUyUdnKjWNjZkmMVNlS7U/REc6MOSvWN8HSZxfBTXZsuNrS7O/slmRLZsi/X5yT7C4BOy3vRh0+fWf3rtczP2ffS4Rzugq28h+YT0VXxC3GTwzWI8e5W4Hq9kXDiJf/T6bcj9u+Y2uQKJYEEaghCZuAtlNyjKf0oNMCM73tnTnOYu3PVWm8odopcPEEy4GlSrogMNSebJGM5MWZgOYMEcSTcZvCSAhVOxICd+kfHKUOHw9tI+P3KjplQIlz5IViVF0MUaUA+XDqSYHFjNOpA4iUUu/XykoHpIetbsBij13gFXnRkQ7gIX11OjW67XU9zuHw1Rm317EdPIRallRxq5ShaZP8MrMWsnwkLG8Yj/ruTTRAD6IZVGNQeVRb5XfHSalzcWEctMZ2FIoY82kclFn70ao7ehleHtQhaczoW46nQLBem5/zp9QDQm5ztRQGk/lk0Tywwe3+bdiW3YL/niIipwbDGKmFVLDyFE9a1tWfefyqtD/dDqS7YkaZaaUYPd6D6fDEexgvo4eiPI6QSR6ko1cUQ8aNgHxKLC378dBidT633V91ieIMdUYyMuBbUI7K9owJzaFa8FiXWxkjuxAGE8ELygBfQ5M5jWSvv1FIuO406H5Xq8/lK84RlEm4Az+WM/fnzAf0C/u9/3HiI4o9/fONWO6b45+rr/SOBFtVybPTb5Li604kYR9sS3sIJ+6XxW3SNm1KeSvv1rqMor7LG2+ckzS+xfOK8BoQvr6/LuImGBcXwoqHa19KiYexG1lW75IsFLkMUdow8DH/NyTQ5QIrTz9pWsc0ShteIGDe64ePsXS8ox007TLQ4MznZK3AOn+amDkaKR80+qbzLHpe5PTqC5xvj9qCXsF4Ri8yo5buBx/WLrgWB7Sg3H0+XqcOEiOOZgz9RP5geGM9dJmnm6wtPtbHaLut7uQhwls07fUvpY3E4kkOc9akYN8u48NgiWZktc5+F5gaSDpXyu9w6Lho1x77Xw3RUFjsZroYLpwFFlnee7v0CEDovgKJblWOAvdri7HXim/uRi+eE+4G/zPJd93o/oJuyeCAV9lNiZ2z8Vn1pnP9OlGyzn7RxWO8om/NDmm89fWoLnfL1uRHtxjOflENhW3DxMuNiGuiZDPNP6hzxZ6eUC30H/tvmzfqu6BuEOe8WKX+KiCB5EqKn9Un6FGj8rlRnDiLf4BY6MbX3KnV7eltwJxhOPO9kKyjx5tALUGmjfPb6Xc7RAmYulvdO1HoqLUnWI7TpTujPy7+CaVDW4toRxkXRNbl8n5g01r2dadz6BPROFsXxUHaCh9plu5btkpAnXEWXifHcK5hgb23bOOaR2Jp5+vVTzFfcxrEjpot+IBWXqQNm3eoKx13zFPTzMBEMgR9IXlejVsB1NLYblBplu1paIxfl6/MvxsQgnJxCnoc2Ph/nf+MhMaccpDJxsoyP0StZMelr/ty/XJfi8bgh9vC/Hz8WHZjdMt1PvOmGAJ3ohRjbuNaF9V2jlZgq2uqsTc1ip19Xw7TjdOf2TOfhpJCWJqd5eJJ59rmxRxr3sU6qI8ixt/lBmtZixjom9sTPCU/FvvVPxp1kHb3ODlvnAQCd4jWJYGl5nYNHPXWS9P5P+k7pC+UJutvBSD7VZVDPNs11K1fsHH4fvK799jwDXkvA1SBSBDVPT+P6xbtUytAGUpJBH1UzyG2GZ6PF1rbLjpdwn8oCODlaObBn21h80nvsWaypNJ7f6WGDWRsuJ5i7jOxVvMJ7a+/tWL/iay0JrfV9bAe+03n+jem3I/bvmFhZ8GfEwAFmMD4LhwUlm3h9Qaq04VkfgHZHx4tJx4tzY7qrchbH+3FELS24lHzHRmluCRqsxNgAMoL4jjK1NmYhxu9iJ85JqB6YyFqcXOXy7hmseyJBjOy2NeeuaNDnrLTaX3ecMzOmHSrFoQLsR32FJOXyiQsA4KOTPUKX4RNVXE9Zemg4nyqSRUHOLOpLU15y9zPBZ3/iu0ov5D0xPj4xLvY+HHsc+ULAsBOAHU2e5yl1jKV9et1mzIXhrdgio3alVCyyOYgtx6CMsz0vTodsG8ByBvcp04UoKeRuYK26czzkRjGsfYFiWqQtd+FOCpgg7matzxDRziqKC+tosXDWGvrCQdPbFhtJn2LsQG80G0ZiWwSI+Q2s+60lqiv4Clr04m3++r2pPC/DLeMRrT73HwfNsfAdhZhheHu9NxkC4kqjbook9y9gZYW10F9XwpInbgu4Ti99Z6ors4QL+V6RV/fzwn0pvp8P4PG0e5YB+bqhfxgfFFn0e2vuQu+LZgN/JRa+sjzaO4PJyRua+YsBxF03Pu2Mtxg/kuMesvhLbb7Y80EG7jI68zg++VktvO6E3eaOoBo7XJ+iRI9vRio58Lxs7MidFO5B5rEBW3Dk9VsETtmp3mDdFjw8ajv6l/FWIbOvvY5EcOsrwb30E40MPtbyjdzU0FOfokI80b53mRs6jMg4nF1uq8ps5HC104alDqONhTudj4awYnd4dJ6A4fdUFRvD/BvA5mQjPhzvmZ/m0NTTTNqYxrjFXJWkQVC5+EH50fJs8qTx8JZ/XGgKeUDwTXBwsj7pVeEoi51umLvYc3lJbWY7DnelxehXazvawgFvwyIA68HZh1r5aWc61zXOik4q1EaHu7TxAY3+Ti8SzUljH8mX7Hun56CZYU5NCz3czPgu5o8flT5xTUse4TrxvxfFSptB/2f6GRd1ic+WphquCk8MpNa5dlyQsgW4siAr7dPLK42H8YXON6NaustaXTbQOE/wnGA8ydd4588GvsL27KZruf1mEdyxuag7S4DUbYClE4sWB0fR1X1joyJPzrjWpllxx2vXc5F1Ld1dMdKZ1s/ibPUUzmCBUsRu4iYn32n+BA69HwyLdKDepAbz+L7niTlj808kbJqy8IukQZbboxykucFtbDpJkQEz0GnDIja7xjoL25LM27hddn6Wd5prHXT3wCbWGE7Hhy75zVHFRY/x05di3UFyDaDc7SsDjForJNqIiGWGxdtkWh9sh9Na4Oa86KnpcSNulE7b8XzED5TGRwS4rhuXKB7XcsZeXzeej7R17wu23pCndhVboM9Np8svhM1xPxg5rU8OT49g7fzYec2FPbq+6Ufs2IviV+PnHn3Z50Hjqb1eab+3fjVaeJXeOQT/agodepj7bs8qwbrJFkk62fRWqfiNjrQ8zAuG6X7up6+v2ZoV7DOGWFDWwEcn7PTM2+vj2/lUwHH4PdCv01S3n47OxqlBktX+3W03d/xNfob46m3RuHR8nHS+T9b+6xU5WU/A1fq1rfUTPCyvomWt+eLnoA+Mtt82rh5MVmWnvxvToa6yGZVOl+L+XIU37jCPaZqjDIdn6xHaf+FaDdYJo96Nb+4Rr+OayafN/yuuN/kn029H7N8wsX7hhkY5phBIhQRG3JcdjSiZZ1vQtfpWPUtxLLs1TDjGMZFdQWsXxZfj/TiZEzaiQP34FgHKYmYwkOSE444N77/kMQUn5pJ40sBNLDwQA1FoNSq6gFFgHZXbGAUJOh6jYPi+uPAEnn9IRA3djWHGvX9fFlnEgs6MU+V6WXgI1j1jVGd3wIJoJgxWH1tpfQrlddHEugdYduVUqV4zhF2Run4uWtAv0/lJKCqQUX2akVSOuxgfEv7KhdWOtaUoS4EA39xHM9BlwcCLmOI0I0hDWHLQPcpVLwW+7nWM6pP6wGRxufCTqDuO8PV3yCPG0qi17lq0aTj2vmARlAYX38f6Y927qf/1WDBeQIm6U6yjkZpCt9ojJcWjboc5E9lYyRJAb4tM8Z2knMyRim/gsrqjahfWDzsc7s4oZ/xYxzlB15E9t83B2K3KzqQWZc0LNDHvDN/XT1l4u6qTEthhFzN25Ru4/ly4uw9R1+te2YwgV38mdq/pk+AShBHuNHk7Harh7NJ6PBkbkW6ge94buP60cXA+cKEciZuA0jz1CMbWpbIo6H/XMnCLFtqOt9JLcf+AzcGV9/bjvqw+eQLXfwluXLifgqdc+PP7gVsNf6LryKmvG/dTcP/vL9tI4fPO2va53vq2kNkHx4xzJblkUdT4ljgBovQXiCOJ+ejfuPfz4s8eden4MrnivEel7hxnmAmthc5ZSe75nglXGKK0uzuaaGQ0zg/JOkT9Lt5a7mZntvN25sOSvJR1BO6jXvtJG+HImZzHhsPrmbCvhTXjm7yY1k4iYEPUx8llkfy08kQHkd+O2H789+JHRW9Rqo/g3BZH/DvhPiJFmc9Ysxe/Y3yRbOwG/P2FjJb8rnVyikWAJyCad9fefuJG9KEvXBGv8L5eVN8hsTHvet39JUkPhDMl/cIdcdNxyJ2+Nn3zznGKKxAumvc9ctjFqMGoFF06nSCAWEhpmwbjmo3M2/ln17cWHUvmGcb7fghFwmp5t8Yv5YFa/u6s2nTj5hBem5yk5M+I2JriqDaiQ9aDecz1IWV+pI5GfW3zvUeD9Dx9MyfTgZ/kE9Esvy3Zz9KLxZF0rhvKXaaE/oLCX8E/N+I56EydzmLe1Pzb0Wq/mgYZ630o6sNkT1L+o9MINOdfvefGqC+5MKd1TBrPSDgrn9n0NWuWHRh+4tUGF+sZrhe7jMyuF35Z+yf7+Iacyo3N7IQMegLhwGFmXq3J/xRLT7sFwMNkvNkcgQPSAVw3XEc4J1KmcWB8JCAAX4nSUzisjPHl1Sxmbzqv9eOQRdOe9PZ8A6ohJK7FsXqWHrkQuNYgZIYdb56dpvnAb49lWY9hOKxvWzveL7cFAOBBp/PA5arWMqWONkkJd91Wi8Xr3j6SvmOdxJ12bkOy895hYDj6d2+n25A2nkE3gjbJ6ehmSKwbqKCcPotv003NduL6VlHNq47YMXsc6AZ3GUskzLRhvRS1PNtpZp42nkCTmnSFjYkJqi5Z6lxrCsEr4s8iYq8bX4/lkP36euL+4wF9ChTXwtt9FefyspXW+EwbbkvzvI7heNv6SI+a3tgeF701T55yxmj0LQp9SKzpAUavQK632BrqJocEO19muEC6mtR3nRZGGderHdqaZP8ndZU6SIb2E+zYSdY/i03b158knyvPx0GeB2/itZN4SWUan4tNQc4PXBn+ieRBVk643ERXanQqILsIdR5gL3fSi0LeUX/f6VAbPypAVFgBpC1PtmPYkVx+oAdHVV+7Pl1bkvrN+eoU3sjLNnOp500qeq//JlosfTP8hl5m8uY62MhNJMT3su7T1kd6edYBSx8JT6F7aV3/LzZ/2IQuu3pbddB1IwzHiWR+nlsfOGArz2CmdZgjWwVeuP3mOhv9zlvh/zPSb/P1b5hctvCCXSRtGelRMJohT2Qs79bLorC+22V/moOKyhhewXwUMG/O/oYzF4K7M4gQypancFfsTOQFPMk4MsOrXTsbPCS8Sp7WRmGU1p6asVeEHn3qJcvhXfpCDuZT35zBnrpxODorBf4Sln2hIJyo7kRuykq2vfefPkJpXQqrGS8wwr60OKYYsDDQoXYMsSn97jRgJ+bYb4ClxxZJ27wsha4mJdb7XegTady7wf4KphalSs1v32P3cuBD0rFXyrgkTzhnhT8HJhZdyzO/89Wel8WTphh3PuZy35yU4QCjMn1BOPtJ8Dl+H7VNxk/QaXduEVzJs6iwaNxNQ9WtRaWiXBKKvY1w8EnwXI/81K8G40g7a1PNUp7bALrC2BS/mDfMa7oR+YrP7UAg7hLmspp9DliAdcfwrbi/L0CA570av29Z77w4f6eIhZhOYlGyPQK5syWjM4VUlu5z3frPC5BTf+M4XGCMbs22Ei/jewz49ojMQvvtmeOTHPoMp9PcBrekvD0axzwltJZjuMfk8/HCNi0CNqYDgqt876JmkgEMcp/zm8WSn8GXyk5Rg+2mI/h9/G0++72coQ9ZmSMvLAAOz1gWeh5teYlfLDlwrn8zVJqcebVAs8Gp7furPISLX4KJedHleHztAIl6QWWn5PAMdbFc7dWzflLkyQGHXeaMcLxK07UYrazrrnn/0Q4LP3tLiy2dYH9Xz6uFNr56ZD34AI62KaGX4/fjBgBFtNk3R/xOfz1tdNY21OTL+dmaW10Qz+1oG/dXtl21JWqecCp8cKz1CPMUpQTqYpM30xz6S/PKZXcR4FO+hdXSRtE3XrSBgc82+eubCROgmfetuhim9dkjPpk/9etuRj3dxi6ivljOui2vpMswXb7AuxKCQi/3K1XcJnnBs9mvlAA3xPRHJG/0VH8fLyE8lbb8azvCmNuaZPr0/BWtjARN9Qz925ywg5yNekyeNfVrhy2+T4roGeYtmyCVKNOj2J7ja1jGzVfI9xOYp7lOJjP8ChrxO0t5TjluL6x33whdNfDFARI+DrwYrqg0XPrfOnMamwI8ZtqIOlHbfqV7vGPDk674CqYb0OeF5/OCiOLLjie+LoU81o5/fRqPtGuuYM7XynDq56SDFZRNvIrpI5y2rKQubiP+nMqnTaXR1iJTs2etklgnC3mKFVjA+HplIHFfG8zxTncy+aguTsRnuGsYvo9lsevTIWNtjk6kzeuFIQ80n8U8j+/JqzYZ2mFouNiuqeGy1N47FHb9+a195uxLWf5gYJ57mVdtH59RvZNuxnBUOjx8/yAF3gpuxMDZK3tle33iF/gUple/8wV9Njr4SGwxv3hHPL+Y+rr7Jkf+Qjra6kY373wev2Snfpg3xnykeYP3RV28kfc/If12xP4Nk9zA9a24v1ZEpYqtFYeSsyhQTYFLZ0MejxrKKderoJ2kknX0d5Tfmo2JXo4vNeNOIXg874yk7fbMsAOjTH6pk90XrPRW4LErW3KbM/BLcuevZ/GIEGor++cPCX9ojOQkDF8oLDEOEVGVbT7+O42C4pS0Oq9vAD8BfQD3D2Ns98LtDSn3qwpFbK3ILrs/yyPzvFNGIx4lA371aETBXfEoEssTdwMGfVH75LwQOO1YtJEA8qjBnVymLI67sIr6TGV1JnzLcko9FPrQpcDe1m+6BxNARFWp6LoHUWQFS12A/qHD/YM2B/jIGsffEyvC3B247kDzo6c9KtCOZaXq1hi6Ms9G7YVVjiK+Ygc2GC5L31c814fmvbJGF5vC4LTLCxmCNKwVEF1HZvkRXiHPHC9TZJ0dyRL0+7RIHYs8vB8CfdzZx1Kf3S98pwEaR1z80KD3aTIK5c15lrjzyLk4hvpbqmPY8yhsR7LEmOgtuL88cn8hoezYND56+U5Gq+/iSDqeF7qig5XgCtr0e6Mfguc/yEoSxB2mcDhA4xU8N8cpFibpyFyILnp14Jn2lBxSpCC6keP1bMbEjVhw6EmetBlCNDZOyLdA//cD958X/svu/Hk+rziWHYAds22/fd7ZQh33r2t3GUma0eYr2ljrse9qEc6xM97Gn49r9jofC//6xw3cgut/X8TjGL8IhfP6aQ1dRBda23J6UuO/4m3xvLLncSQftQOO9AUdYZ9DSmOBAkcfy4JDpifKUxaRQHBIa8v5Np/O4bR7apPwU+5pOokhmt/Rv3jnfc1oZQEyitvaiON6LQpBnsDjz5Xfo4LDGTvgqOx6lVrvtojNUYLsyB/wK89lGNyko2wOwxvBv3fH/oQvrLnT7pwtx0m16IS+UMZ59LIuDxEN/QhZ5ilqsjLWD2/d9MkKHwq9MY/dFpJcrhHts2EM+oTAFm984T/vm+OI7QBFgNy0d0g0vypcEoW6bhfr+m3+eAQHQLycG3Yn7XPZAKFTPlAWcPtY5LFRUp57uwUuZJ+rTo2IQuKNS/fV8vK49TqNp/fjiiNy/ItgtPc9sqTwITot5nf6IGkjuu19fg1aJp2Pef80D8cTkFp9/r2rdLG4wvROOklEi7YjieuRbFnX2LcyB00Xis/sl/eJ53/009uOOeaNDhyC4R/gOG5y0L2oTnBgl/lRiPFj/ex86H4g9OjC0/sYdLqwPrATceNXQnk67C7LNL9rtw24PoVd1yO4oTWCjVb7/GvqLMZnbPOvKLKsrzBTf4uMBYF92w/RXe6WwQC2a1M4FW+PViHVN/o5z3Z6d3uUx9AFiXqlrW0nEM+r9GISaP1ZsPbmdCcYVOyuzlvsFIlFkN7FwDvPJ3ZgDbQrJqM3nbjJnpfrLhfJRyt/fyGj2Bh1jCbmd94HhpXoMuGyTeCmKwkQm+Uj+XPBusIEyNOovPrvHSG+3hL27WWbqC+p0cXF+Z+TMPThjaHQnGWcch7GjelHDnNxRuZHwOrwlrlYMmFOzreeAvm+oLjx888vqAr+8fWMiNjnHxee38DTjiRWYNmat8TGZl97ibE90TzTc8dFx4tg2eX9uTWgvSzanJWFO0XiP5ytRvd8/VGQuTfpp6VAYl4FDMHzqe0LVDeKLh95mWdrLR/wn1KbG91++H/Z+5NQ65YmLRx/Yu3z3q8sGyywxAZBxBbUgYqDEkFBFGc26Ey0VBQdqIgUOFEURbDBgQ0odqDOFCwVxbLBgRNBHCkiqKVIWWDZ/dSqsu579or/ICMin4iMXHuf997v++6t/5twzt57rWwiIyOjycyI5DxprhX2V/V8XycLHD3gFxGBu8i4ZT4j933O49mIdO2A4Lji8QTTYjt7vZvfse5N8qfSU1eng55kUx0D72spE/brueaNz9LX+a5EWWx4QLuWAOKdFcxqe3C44dKpNnKji9gdf3lL6vCeAJh5Yl33QZVVBUh1F37ydB9CvkrYkIm2nymPjM8c2nl+H3qkgGXylAVC+ehZYmR4jCRK3Sa7w7DLU6/F8e/bTeWvc/q4EftlTN2p4M27kQE2UZlwn5ygXG9lqEV4Z5guZporwGUxZpv3s6bo//iZ+u0Koy0aXjG+EGJXTKQRWqk8M21WRrp6uJyu70R1nGZmWeTCQKaSI9wmla9Csgd608dd6hTBAvu2TZJG0WynAFQQmA4bXNRFkKGoKxlLOpVYBcLb9S19fyh9CTbRNBfbJJzvCalVlOFdHvemrHMiwJRhcLcKZNRxAUdV4K7G2+uPwwFIROmbTgqkUGPxbpcEmRb808J/VDpJilStg/Hg/fF3p2X0xRnKk8ovuHCaG3g+oXOueghKx3Nz6ktq54vy1iYqkzcrmCm12ROv33rqLe159ycSxeeWAnofoYofCqGgWYKrgTeMhYZPduMd4ewqHdQyHXid/AhLaN7pNviPh8vXzJM3uN7B4nWK5vHwfgYJvEFeXukA7cIuP2/KdfP8GT0jbTZ2cMLUj4b2pMDVtdUvVEu8i0WmEwvvCgACkCflZoJJ8njWssyHtZfr3Jeo4tEYtOMxK+jydosoFcfPlFlg2JT9kJTgrnO2PqMyzxmk3qn+kMnj8uUnwbQsEFzUfyU708LHibzJfgHL8vppXr6pqJmT7bypxZ40hD+PU+4f04elyhsWfrMjiQve6O/qvHqWn27h+7yTUH+vaHWJniT7uVJ40iLrPgAHSRcu/GXB9ZPy6kNYnrfZPXvbGgNIb5yy2TfyFjs4lZ3yfFs3tZHsDWSd2tU5z+92SIVzSaarLvOkmzdJhuk18ht5lsru0oU8vFb+Snl+Vfu3wCJrf5kIk6La1HXV1y5P+R5j5eo4e7XZwNZNMQbV8yWeFASZfy+bs6milV4FiHtgJx1UpQB5XEQjNO1gN5KiLinlu0wySexD+G0H27Pze2nP4e90t5rnDuAmOE/B/S64nxLRlBwIOczGAmy9gDae7fCrv9+Cy2NeeabTi85828qoTy2emfaANO1n0wQE83Uus+E/C20+Ss/Mt2fTTi9/puhFn9KQNNNlkaWFphY6fZJmuf5UlvVv/zRdfLvetcNHa6v01+89o3+1ycs2LJd1hfrMv/PnB7X/VjgDkM+vnd182PH47fzp5vNSac5X6S/9fkCLT/Pqt+hZnwGvne32QTKAYUkZm3efgQZ4Ls1IU19N4+HD0seN2C9h0kOG14QCt0/9YSauaUiYlOKFJWeumL9jHZnvsQJw3KeU2zGE4968KI/qKaWhJImFERl9kZMmyokRmjT6U6WtlXfF2e++IobqHibqHmekZDsMfk+Y37Ulp3k1RbtT6RXbvEtMlu6BjAnPnqKhdM67QhiOAMU3iKpCL7N+KZtI6e5c9ygoXqVRnuDu7s/ZeRQo5wMQp9LdwxfTC9BxLKfieCWcM6yVBk+Mu1wPoj3vi93X6AvlDrOXd6OiMnOH63wH6IuO+z7vMkNPHqOicW8y5ubQYZ61ftqxbtrdZeQVnZ6K/s69Jq3D6gYXBgyxyKASXrRyl+Gt5fSgCogMun45J30fOj0FFfMUbOPFF999/KuH2YHwAq2eup6Gd+r0FhOjq3knh5Y5ZPPEQ+0KZghKb8L6GRvczl/eC+Q9wSFIc7UzstVxYjiIeyPDO2jRbAdqBNNrXMb9SzM8sEQeHArYfZKxSQxM70Sfj0H3E1Ah787gKyfAyop7Tcai9SeC85Mxr45PDY4bIKJ2b6DOfp2AvD/CYIz7M9k4YJqwsfL7KBmXaYOF+hM0Yi/zogSdMj+klwl04tY9tfXQcb/luxM4FOf7G873GOGlaE6rzvHyhRMcMucbAA5Z5x7j8oqgBTfgYy6GZ613tgpAGp+6qXEXHK+3GJMR/koDDKEQYSr2inAy5kY+gZ/uwyStfPC5KtN8biHunQ354p5i5sGht9mG94k9baN9glFQZIbjosiixZgNuYYpm+pJa+fZN6qzJm7D+Q3dORuRAwyIdLq5oT0xzxWV0a4o5gn3Mi9SSAbnO9an0+GpbXg+mNyjeRddsrnRyTvXI1L4f6U/ludAyBDhPMC8SwoTRs7DJ0LjjljK2+pjHT41590ahTLa4rarrhXeIp0hpD2uAWQ9o/Aw99AF4Sv4FdMo1yezu+4Nu4DT1WPyuS5SsA61w+/UjSwv6v3bs2+xqAMk2FwXDRwS/bD+xl61qW4B/J4l9jx3r7ho06OilDHp7nNe+kv0HXKFdLegkeINHZvJVl6KvHIc8u8JGL37mC5TjFdjJ6Q8PEdNVwm9p8g4rnf8yHPKRbp7Vc+H9D2asitDDoLN6V4xrlspvDKFxw661ElvW1xo8Ef39wtQiHex/hN2smDlV9b3y+t7fH5gveu+C9md5r9H2zHZBiBHfPK87nl3o2allK9n4FznILHEm5GzPzrxYOWYd0S2K1lviE528KlDz6O2FRie/0Z7IgBesG5w1QgVtU0fK1sLwDmjIIRNpohNHL1P3Tz2Fk3nOkXmFTgRbURz+75ZyfeG3jRHe4n8zsfLJEx57K/a6N2mKG9wSoHLk9tKPI8TfdK1O1Q+XcUDZLpgGcu6DjA20w4g7u71cQfDWvrhHmFhC9p8xqw7+JJFRbBr4kdbN8pPdLZ4xyUdxWp3++ZEjJeg0LSvERBv9EOtwbfctOn4RPGEDUP5zODFBiLj1WxxPRCRuOJKm64to2tnXvLeogtxxBL2muwS6wKVNzkzdFww7U1VAgKdfMPLMx+VKR98vh7vZdwk9ekNUOAH3g/P2Pt9MMtDFPjkPg72xnjRtUtOBLZutaieOg/9B+w2n31twO8CxekeqDTvmvkT9Gz9CTv0wIonwgOAuW6j87scs+rFvrf24v5Zfl9k7FW0iomPUi/B1smLgadZbrfJlGzOwHNpt/IAGTpyP27lp+OA6cltwUNTVKkJUOnUomwj+AxnEfviNCoK3H5Apo3u8tCb8Gg5TV9Z3qauK8Hn+KKxTXaZlrEh/HT6OYq85EgzbqMcTIeWj/kLe10yb6h60e45v+M+K+a6Mq8vpHVkyr+L0glgby8AOfoH0XnVyRLslQYJLn+/63+aFzr7tjxrxq3OQebDU4cyO3+JLkr9vEpM+o7ThEvJeXkuBTwy20x6wP46xG6dt07Nbn4AWPq6pBBBm3wCW8/btfC1Sx/N1y9jIqbhId7CUOXETNIXbh7RXM1jQmW3AMeXZCchDizG2QilMv+GMM6zLTZhvaoSpqBLC8Mt8HPflJgILxapbQSO3xskbZSZIeQl9+FiLLKbf2GWhMNFV6hjzGWxPlfuoz1PIO3K7xJvNFcm6KEOmRYe8MkQ4rSIn94BedMPfZ1LH9xos41cXnTwtjy0qitTiNC4LOgltScqpnhJCtE76vU7Ub1+yaGmNnjO+JJoYxrxOj0wL+qKE90Oc1EgU4MeVkWpnTp/E+/I9XT4Topi6txaZxpD3jwjZaY1luNTB/6X084wZbz8Yc036tIVngRzXiybGwmEH6YlGv9JY/O7Vy/n+pfq9w0pHxuGTXz+UZ9KF/hBy1tqIjzxQmMyqCdKxqdtrvIiFPMTNljV4WTas0MImujPKhDK75XxgQJum/KlcQFi/sUCTOrzBS6IhkRhm7wFfppu2/qYZq+ar3RKYzAWlSxbM0983rXGGNCGZWqNtPKuSzsDI/EK7xzBVQ3PHVua8+kCaVfySstnkR2tjoSqE1A7O/l4lHck9xI9MI1c0MeATWfegtOMY+31C662bmR5PcybCg309WxeVN6T+AVlY1wSbG9JlTaFN2J28Er53fR1p/csCxdtJnrHeo//bvqgaawznNt6u0R9Xw48PELtlvZ5gOi5P6I2d3OobafhKzu8c6ip6VlAtE511rBUH9PnnK4iLgELHdV51sqhyksvhq+ObdivdYFI92X8/VP85iJf7Utdt028LwD+QNosfO3KNpMyJ5ZFb6zzNtoo+aKtIruesQ238jRluq7okp9o4TmPZNJVClkqJksE7AmbcEB5F5uWn6WOlM8dnFyukZFPpWrXdM+5/g9JOzn1IE8df+F8/v3qNxo5w3ginVZL3/lO2KTXHbVCgjlsRUzbwn/bO+3y2nutsCw6m9Pa1MNWmrK8wLQhuSmeB2FvYmwWdgeyuySAyjwUGssbG/vAuzv57SXTnjr8Azim/vPEpCW72u+KfT0PnOcRh3YP0ThgnezGo9IA50Eav0U2SVMf4W7fueZ7op3HXU55aZzasWLY3d7u2tjw/cv0pCzq9OvPnB7U9RCexF/kKbp8Fh62yWI+3zHXMLt2NjrRs/TA/LDrxwf3jflPfQ7SwbHmeXa+R5XEH98EYmzw9cjqlvq6Olq9kuFp5s7T6+OfkfYvcbi1mfyThe+s601r+0vlb4Cls2P96w6WSvtvsAdGvW9A+DOy8eucPnrEfklTXeRKd/xxkgsGWJiX70tE/UDySPFF+qR0q9+LQczaGcQB86ibjfBC/fG6mR1l0TydeIYzVYLbvYFKG3Evlp8gFKx3oBp+xEH3/kYlsMU/U3JuhTGUBXSHD5LxFZsBYv25Ygw8Jj6upOyL4dhPOMeGo2B66d0wFFHr1Iy4p1Np9uY8fAuNTVKuFDPkC41vXhB0YVm6UoymtCninfEy7DnB3l2i+V7akhKe7T4UH9OA6TY8IBke32TxKxn05ndU0djDwxQ33lg8D/wUJd/jWcLVxl2jdjdh1HNg3IfqJ5WBeXraN5xOmd6zqfPW7zq5j1H58CRspKEo9BOAQ47HRqIA5zsN77JJPBinVD8V2gybffYwwtHMC3C/MVNBjI3foasv43S5nzqtvErU5hx7ubrHptjc1/ysTUYQCR8g3uanOu/zjtHzk+FJdvt/tFnssFnbsWj83nFI9DhRPTdYqG/BS0/g+AHCqfOOc9DKNOQG/dRNxfPFxuoUuyNnOgynu2IpDfobdZ9+uvtloaLZAavAZcTExay4vWuQ+6oy7jV2hIgCr0f2KADyvUdA0HLcl6yYdyvZHBt8eXji47RmG0M8PMmcZow+faFEx2SKDuph8yTgsLpETXvSmNPApFO+zzJQSKfgQ9bIbHtBOeHR5ZsqwtOz3vXjFYcX9lHg0Jw/7A971y9Eljbs91k3h6muEPdVRgtmlIDSjlp+tfngnhBaPmO+vPpBLo36A06ZcLCBxnM9olOQJ8ByEEJJXmW2sfKZ2mfHnWQ8TjzNu4tzhAoJWnV8pmZI94hIFN6Ge0rWsWR46PdyJxDJXwDzAAkdBujoIclfBXCje6fT/N/gCRPHXUohv5p7DvtCk0b5GcM8xsW8o7zLL5lfJt3Q85sMi01MmfXrsZYHJg204+l57nSgMsIpOQ60Le/9WfopzXNk+GYEGY25GYcRE4wG4hX90/sU2QSTNtJiCetOCw69ulmPH5T0fi2G+CN6+JjAhwZ484DHdo4PySqi4c0U3c9dmzOp7m0lm3r5RD3w3FhH//aZl/uSXTU40M7julgffDeYR8Ff5xnrr+sdVlPFuu5T6AwGK82bXD9GVBDYvZg0bxR5vkV//NCqCWM5532HofcZk1/WATrYA6+a6Knqx4DzCgXcPj+NtVqYfo4EMhsluFHGovaP9IyhRtv4FFsi+Lkwzxccpr+I3eV4Wgb3vEx99igpgG0a6twsc7g97/JM53OlMp5/t3DgulA5KLi0B4PPZbM/OxJy+vp37QJjbaDIrKVt6WAjJLiMvI9IRdNObMpxOz7vrI0UzYKbAZq1Jcy6BdNuB6Zd4hstBINa5eL3kx7uGavDySD0n0m7sS50Aup3rvs6Bx3UjbTZ2AmSvknM2fM8pselICIR5c4C+T5jXcY7ZDaXcbjcJlrGLwOXcF/GwOdTm3xdytdauI7XA6qK95++4LwfUM1+TsoefL72Yd1Une+WKE6kM1e4wss0fmOuUXBUspqcDn3NqbAIyLyuJvjyq5Tyky9NWCX44pDbVA+XTZ3op67bCy3sRUeI/FRn2Gr8+Bn5hVWW1oOEvF4ipSzD8NAOIJ4Q8Dr5t+PmfEhi3ibY1fEmYRsdFjlt3O1sNtmZqxKCl5c+rlKNmNTlD3nm6+9Mq4X/dxF2Up8sX6BBHGYBH/yN8K5skzH5FV6y0ISu+VKf028Ck/SkfHdpX7+X80dLGZ9D1eYtKenKm6gBV3pHyir5wVZnItruNjAXllvGJGBaYNS8V8PwLsA27wWrQ0Pp98IzFoetkq/Q+KJne7vNAKUD6UK0ukt1jPjZ1zl93Ij9MicxxaJugtLlyFngDcUrLw7NZ2nRkiYWC5JUp7XTbs7Z5mnrveHwdRMDxHTl+hm3xwufIPhi889wVRlJ9MmKjTw6GUOFi/GiPYNY+2N9ZkamaBlCd8l08G/N30O5FCz3hHn4RJxzH8Nri7AtPt6EJ4dlCW9HSlFamGEFZxlnRBidZPBbfsdvokcbi9RYKLVIiu+l8U9wTyMLEebF3x1m8IltyITSnnBGdXs//V1sGo2GA7fsreletG6YvZr3LW1mRjhkr+/VjNEXBJIivG9V0OukBeW56ajTQ/ByXxxWxykra2YgnkZgrHjJ6SDZYo3jt2ygxbj7hqK1IQLoi+W/2XeiYd8ESfDyuPEcP0ad+QQzcuKxqpt8xDp9g8cPM5wvtq7B3mUOguPCNnBj3e6VlDfmvdLbPQDSxhleZODnHPD6Rqx24x24sflrIXjwauF4FNngYNpValMKvIT7MBpoPu42A1plvybaAB4EplPI8OJVwClzcQkywpwxfP7uACR4m0w4Do0FCoFEVOPAR+HBc9NutrtsFHvZQ0eIsvdzgJTC6kJ0bhgTfry8Cub6ZG2i8BcVmXNABx4PotOo1toJGn5nz2skB5dFDBfzf6J7DjHvusDA0abuItfTRmuzwRhGt8vAc+aPMj4WMsImLbTGiziV/kr4aHmVxOuiT447PmBxWHgsy7JsCBR5sNx7380VL168KWMzzPq88MClX5hTSWd9V0kqWNSHKkbkBI674pQ1uA97Y9axBYYcvRXDcERvcXoyPFHNLd9QD5Ol4E3Yhb9Wti4ZXWkRhuh10OYMVbks4jrNpE1ry98t+B4rLJ0Bzn1l3XuRNY2R/SjNBd9CDzRGaaEHQNIBiT8O1m9LfnXOcnGn1SpHQM8KPVd92uHgsLKiOnlq3XCRZr59TJepW0hK7yhdynGi6d3CYvDzRM/52dWi5DzI28OVFv2eGP/27rWoU8rvFZb0zmmvesRftr/CeQVTByPzZgBriGFgwfGy+GtKUOZBI8M8iOwAziqXxeXUkdx2tzCXsrOs0fw8ZD/TqvHGdiGQo6w4D+IsMgEZG9Fel+mfbjsz/yO4fM4ISC8QDF3UD0eyYKX2Epwqz/HwnU746J29l5vm9c8dLJu6dUfMdUwYlioPNuAlOJX1N0wdjvDNeopfJ1P7kuUBppxThI4066hwsP6hRSb67zlu7R25poApJOZPjYDkdm/oEzrynlI7uvZtue7G+quqofvPa3NsctrB+TaVXTYFZujjwlzbDZPmYOKW/yltUD/Iu+MJQXMnoK8HXH1LjmCsVDlO7xLjFdHNlOaGjQHzNgLbhp5e+MFd+x7A1fkkOqPmwIPebzprfY0x5YOqXizwrXFQLuAuY9zyZhorlv9CZdKDXSpjEtl9vBre1G+4rc+qjtCx0FygwOPPGNaioyzva5kKT5PHDx77vD5ekXkQ2aYfmuo1bnWjdLF76l/XJ4fxwCpD+f0Gns6eXcasKe+Hp3a2XZcKe8rT+ipS0Kb8ov8g/057HdrDyu98/BnVzRKsvSj9fPTbn9Xvz+gC2tBKdEAzrTB+k7xiRDZtXsCk3fyqRXfzkd4nftTpGs+mizIPN22/xunjRuyXNIVxUCc1ABDTTAKtM/jKKcZ2EnDyNoUUvQ4Gz+7erEL3jliYqdh0DIkzv1cDtcu7fPqr7iROwOP12W87URgh+3ZlDplMDMBx9pN4CRMA4iVhxNnmm6+iuoBJwmRqS+FB61msr36KWE5Sx4pid9yRFx4J7q3w8GcNDYzFylwgYPMylSHrfJ42ZU+MU7S+2eD1CeKuvtpGKJHuuRgL9ELGBM0LwQz1kzoyP8VxKcgbX3FPZkGSYhhHwuNheS2UjkLT5qGKQo7RMX3BPii8w3WMMjh0bKbeMTfbvT3WIBxJgQOZ9fm9k+6dWvvj+cTgOnV69roXYTlBqLsfTAM0XmHk+6ld80rLG4VGBzeZxpFi3NtLnoup6XoCnPvJdzQ5Ln2u+wZZgXNsDtvhFh9jU1R4gYrDaYui32WleagHlvtH6wJCLELZMzkFx+u4s0pfjG4Agkub+piXEl4IPdEmeZ3Hc4abqovnpX9c8eI1Z8/S3aqVNwS90DvHi491akcHL/Y7L8OrUNbw5hZqXG5294hQ8ypjEc7HVDTPrybFXT801/GKNP+WaXWjvNwRFfDdOjEOC58aQLvMRTEER98x5QHPOZ28n42vYB3av1v7jTSmLGeB4Xn41EZRxWvl1UVexlxTxAEZ9zJItGOZ3Zt5zlV7yZ4N1EfHodybwwXEWkPXKl4Reb70nd+HU9KML6qrWzBguZ02n7o66LfoZgON++CyufZLMO6obvQAPsUeRmnxsPX2+RDd3EwrFVKbdXNtTIF853y0yfTD8BXZI4SqlZ6zly2L1pTXvSnUCFIl803P39A58/qpC8ksQ/CkDROU/tEY5RPQK31wJJk0BjIjg3T9T/AaHNuFVoavzplKa4wS9gSkOtJBRAH4XsHgc5Tn4d12H1NKETGgzN8141xA7ha16rjVFPMk6sOkfZ000ke4MbrnwzKKfJfTqXmuRF800X+tcz6Y75ZDCdTPpGJTHl8QH/RpfVUsnm3bhTFuG5gy3rNKxrXjUzdjEvYXMk5irMoczTDQ1Hd9iBdstRQjW76Vm1c00cCeN+MQPDXpUsQ3B+KJJ515U7m2kV8gd2ZpY9jm583sSWhcnxK6RcwfmRX6YVopbSyrwuWTN2d94KvHipY/IKIy5ME2XFBfon6yC0JwdjYgANG5gYXaRuAfBe43JmX64rmIeRiACeY0j1uWUXS3YVRjfwFy2tjSGdaYPYLD1vY+OiII3GN9ttASyqEKxxN5cycbRGB90ojQkupreOORcC4W4QyDV1tfnIbT9UmK2QYynhOffbRzRoqU41R4/rkNL3n4YoOcO1Hor+psqGMmGFFkLKrSsvDPNBvtGL+EThx4fj+VSzgVeyxOnx0/k0EvUvFC7wd9SsAx5yTBm+qzV0XOTFjXZnKePIdg9ybz2kTV02qfknnKEYgeNHm18dhtgKVmdYUrSIx4aVcOBf1ynwfQ01rkDu/82/maAbTc4V7LOhnJZKULfnf5+eByaaNuwu7y7eoPu4jyVB2ptxPpXeIZus7L2vYTeHLYEp0RTljH6GzUhzo+5V1kf8VBQ0snO8407VzZPwxzp5ddF6R8RXTwp88TnpPpMPOmnaSHbsZsXXOiz4pLGe2qy44qezepxUWtv/sNmlu7uQLgKoT2FVyX776G6eNG7JcxaTN5aMJ6nnjVMSfkSR4eB9VjRSIAxrrQVrwLfZLypNAbLJSDGfaqEYIt+sKhT5kRWp1daAQOoVZP+ITnr4WJCRxwXlc+Layve41mw5fq90VcDxEXx/KozsJEhAxnAKPfBvvAXxNytzKbguMkxwwO9ygUceak86TW3UJAdwxnxiteBZAxeQ5BCT+RVzwTQpF/QVpoVVJynXHrMTy4YhFGMLz/CghpM9YHRV3wIDZixn3DwOHtOQ7VEeRhEmVdYPW8rhyp7cuoQG+K00KShjenGWziYYIP96TR8CAVHe/GiUWiayAZc6qYBj5vqLnU8Wfu0SoYmz5JqXSilinE3LPWPQ3d4PRQRRd3ykR4ZR43V+hp06hTitX7KYhwXeP+Gu+TlTP45L1kQ5qUL33xHZ4Bh74YDrw/XKYqAALIyzkMtrs1erPJe9iJfw/7TGOTwisfOjySnT5v1Iau4WeYH7jRGQqQn1S+Te/EANUOSfgmbSyCUfnb/xs4uP8Q4H6QUux8Z+E5Ew8xOCBF6e4nlIkeHZ9JaSMgMN8lo7Uohue78fJ4b+MWm7AK3OhOVzj+jEebsS2H0rg5THmc/KBAHAm2/ow7WtwrEvlk6onYBHePWVETeRziWBALUGOOI8skN2gPCcM+7jByGNlr1ds7YPyKButU4D15cbrhV+R6rFnQWHP43AErgofFISRnI+8HTHejL+83G0PVu7EzQDm0sIrNARpjsBd75SvOFxw/jMvGCBDC3/ycIZLCY/Vm09hx4DJCMYwT57vOw17z3W4eWirhnPFNfXcPZG34AX9KLY8mL0B6UsGXz6v0m+58FSwDVMMyMx9Ywmtx0vLMy7K3MdFcpZWF3xReFNWWzTXvT7uZQHSaaBSmi5CszgsMxhO8bSWYm3ZCR6xXVdT+sMxzPfA+6+rmS8hCSqE/3QTnDUl/HafsNS/Slk3Y9M4akbsu7XSJw13HBpIvUB8kmx2e6uEenaL+dHM8XhaSJtkulS4qr+E6aJE42QklT2sPfUxrIq9n9+xIm6X1UG4wtUx8y8Ie0PKWZxainj2Vvsxh82a8XKR5oo10ICG9oJDlLr9oI5gPhQx9XnCzAwMuhuZcLjywwtTNYePNIQt2uEzzqbwjudN6k9a8/mdzKvprdJIOWwWvbYAqY6V2AHXCLBk2f8Q8mzZfQo43PDV0Ha4LaA/R7tZBUv+PqS9EGdiVF4DZfQDuTPg6QirfaM4o5gZSkWVRsSAfNgwUPWDqZgd5iNLZabFNXEPmjfKzrCe5Nussn4F7zeWAaXtT/ulx2MAbY+2TAxkPSra5uFyeeBxjIHNMnWDcpufnVZxzHwTTNsXAYbrSZrvZSgCnlWeM9YAq8Dir0bTPP14YV7Hz/SJZv/NqSOcGMG1OnvM2t3zP0aONyA0zyhbNtTm+Hk7Z8E3qU0Vg6rLS4S7euA5bbrZVTUiHZW68XExIJ6ejjOFdoHcZV03VSEW1KoeHaDtK6KBZrc4XinTIIXQQBtVpCeTtWvQft03dtg3bkvMqzZuCH5YdU5ZSW6lfZYyEDhW/yqCNwn4BoqVmCJaNlefEdJu6IU7rb40Osejupc9ExhNHdjiGvdZd3+FxXIEp09qFySM+XOTTMi7E2vl3RBEi+FPER4I9zXcGKehCEfefNuNV9wOEvgdYjENfsxaEnbashW/QQvvY8XtZbzUgnK0ySe9ITAi2XZtcd86AaRsQXtsG67MqDq6A9PcN/ysiY2bfsL9lI3qRaYXnVLpYKtTJQ0o/2G5q9WSvO3DHdEqRknzvSMt4YJVZXVrGsOSfuFR6Jmu/NfeJo28tXfOIS09GpPlqpo8bsT+Ik0/0mNimbV0ZJFcTYrnH64oB2vsq/NLavp/Y33LgJt8Tc2be7zMzs0BoT2+wwkOCIsGiBIvDdmXcejlxb6xVaXNPl06gDAVC0rOlr0WpSpva3pedx1Px3k1ge8jZZQUwC5aFZypmeBzJZRY+3ykOsNNJrIBH3kG/YTQUJWNRaP106Cmjcdv8gWIuvncKNP+VvsUYkqG4CAPR/JubKCtKaVE/2qHO+abp6QSBvMhAsMWnUjmuk0MV7ubRE++33VuEp59ibsKFIithyzgITMiv9LdNtqmnjqtO6+Q2GBYbz9g8BkZdoHDmtPk651vuy6yQPj2vL4ZVxd3qU/pM42DkEJuG2TJOfVJBDi+36z6/W+h8aqxhLDvMG8/fZCRJGdNu/Gx8fVEJoit/CDg2z8sj4Q3N0lYtWzcOxrNJ2CoKuQlSmLbg+Zp5hcy/uDuKG2hwvcJovM1CkcdmGLVdpwIfAAqZxh4A3PeioDL83SGgtMDZgLrIq47OiDd6fi0HGHZKdyzWOK8WgO9DWhYTujt/zpLH4fDFl9LfMJp4yElWJL2B56dmXMzps5evKW8DepLnVTZv6Hu3MdjldV4WWQvfT3rSbmxR8jT59kbQBr5KpxVu/05wuSEYcO14cWGfAPKGMNM0823HRUOnj9LDsfAxbvIyLbb1XLVP9S7P7bPCH3N6N+YXaSeS+F3tA3vsVhiZnjp6qIcBvwjG9A+KRF7o+Tn282r3HuhpicV6CRH2dMiwZyISXTzLGbDCTl7iboclkU58O6YMy0xWm1x2fUDqFu/q8x2P4YXcRbdUgrlrU6h8ec7tJvu04WODH/hE7gRdbm+XuG3uE7w/oGeLbpeZXdK1da1j2z6XV8RBuHGHrQ7dxg+9VCOp6xu39QzP1QFIWlDljcTUpmQ+2sHBipy3Lxh6uaDfmGR4u34cgEZEkvxu4N0WP6Os6eN8SPlowrnGoNHvmJsInYBpVmsfeM6abZpCDV/1c5lkE5i4H9fxZ+OyVEXoDr2Co7TwGJHMXGiaQBhXHI0CzG/kjnGA3OgjbfhRf9U8EASSx42AXngXI9nraA5JrWOff+8mfOj/8WeIKxEWmK3MQ/sFhknUqWwCZOeFeEUX/vyqTHdfs5Q8ftj3wLw2h3AeXcB8/lCSFLxGRK9ZzQqvEg0SL05rNLvUsfVGTlUQn7JT6u8d37Hfic6aMm2o3DTv9oC1G0o0l3c20C5t+29jsF3HCN6g+d1OhnYw199a6tvAxvitqFrWA5o+LPwZBLcWHKe694jd7mU0a7xacHipt5Yyl4c9XRbxfCGelOyiokvUZ/y78s1tajINXO6jGVXHusXDNnhAudKR6YwOdz4FZs1H/Eb4mbVT7d+HurwgHaRLPKDRt74oduPHjdgfZMkJ/aBTXHobisjw5hyKR7sZq2oeWpLCTIqOUD2xcHT6/YOWR4ygKzOHtzmZAk4KHXEbyt9xn2X4lAKHHoswvt7eTWLDTyhsazKeeRIyM7XJ6h6a0U/HGZ3s4BNBsfHIpz94QYCZugyY3VBYmBXV7aGQFMN7VRS4v0h4jgazKsq90jP3rgtlRDDut3uBhVq1/jH+ue9MD0YHInZHaAwmhUimk+RVQKmdKl7aoIVxxr34HX7+/EUT/WUFxAA1+OJ5VdQF0HcaOJKXcf/n8em4dzPuV2w2Qsfiu0xvRVeo3bvzRYfXptp9r+cUVL6BE/2yZ/GbFQ33FuySbyzcARlxrGe/al7WjNwz0Dbt9OWc4Xh59bLb4Dx9LAbuhvePpM033hgZG37zJGyEdbZTx3FPzQHA8AXHl3noyinZ81l0hhDmIXVDsoEZwPC0fWdtcNhh/lMJ72u8OweO/dTqu3HCVv/fDfJ6zLYOZA9fx7fP35P5woTP8eSbO75wIzrmZMzdpk9c9vwEOF/GnL19OuZV3At0IhUePNVw7wsDXh/TnfUh+tMlf+X04HKF5j/zTuiYX25Ins7zOmOUx8bbQK4r4FNYSGYXZqUv4ncUy6Cnu9qYIt236TQ/ed+Ei8OwzTYVepwpvHU6OR9zSqBKfZTcj/CWNa/KhP9QLu3z3TyB7V7FXQo683uc+Y6zomzGlGJ+R4stvNGYxgbGwzkfkGCq0SW6TfrkiaN2p47X43R1IHmOq99rawdoxD1R3yEWfoOVuaeKw+ULk6edBKeN3/MFiPuyw4tUk1yLxS3SF7wP875uxIZVyD8fy5ADzhQ8P3mBso5Qw+3pOEgSi3VU9zJWRtvny6jgeNXw2mUDMDbXMGlNor0pDgKn6zDmRXzPpAg5X69A6PQV3jTbhSYWHXM4bXqUTTd/FjpNbaNs9h9nxsmsy38g8UuGJ9WLiS8AU6c7sczlKJc28UsI4Np/Gg8ef/amW8O2ZvoZ7zLwHtMmvMaJ7rqF3lANCi9p8VNoVxwme9fph9zWWa+5oP4O/VvRhuW2wzte2cMDkR/TkmIPRle6jSRz4yfRSSebKp9hXlPahQgdQpXynviDz814OSIqrXBewPVEYhzwRkB8HgVHzC/PiRuOngTb6GH+G/yrHtKhn4mX1E0CQkudW4vX7Ul5XI0J2ZOjGwVPOHTKnan6gD0S2R5mfIR+tRmEq03f+mziv7GhFfQFe/qkemb0neiNRQYhpSnxOw1+LaajTDsLOEx3Pr0uSBwoxAEITC9cOscI83YQevZONvhGWj3YPm0tr8fr0kkkJyMlN59X0jE3Lo/yLnBHeRzhgthQcn3qlElHfm3IEp73pDLF08qvosHORhHMNZ9iQ8dhzEOnV2gd24PDL2vue9CXJcex0jsXkG5rUBl90YC7LrSHXDd8HRblavGI1fn7fMm4iW6QbooXi8Jltsjxaog+NPTD1H/MsZo4kHlQknWootzM9Tid84vmxmzHMxdcXK3aC31WvlcPW6Y5zoxxvoNvEtPai4fengfFi7wqtNKC++iZIHl15z7ptB9df2EaDuaEYQuk+gtfKnhfNnZcJhlvYJ3ZeWrQpI17RAXgvlz0u26i+bppq+vSeMY04jEreZyFpbUG76fD5e1zmz6mfDexr2cJgi9IM0QhF5aOTl6W7ED/zt6jMnG72Pm7+dL9bmAYcOtCV8mGOzNsWU9v+kX2GId47Tbxan/6+hBjvHSB2GeMk/fDeGOqk+Vd0RWXq1f8OYVU7mwDtiU72BbdhsulAog5lmxWEgvMV1oauEqFfnhO1bnLNurIoGnNfXxq0OrSf693aC/JjgtdLA49SRq3ZZyZNz3RR++Pw1ppoq0z4Zu8W4Mf0W8v4lE9mQa/AOmj+folTVe6zC7xBH2YLwnGqsg9dyfLh4QLWzZyG8UiN7zWEQbsZUOl/vK9h+36/cijGXcdbMvDDBcrE20eyrv8LkxxUYbeSDfP9Fll7VddyEj1PcP8rvpuhpOWehdYHQbbNAr9qh0DyQKKlCs2wLb4SMqCLs9auLrKGD+KYYAXmLb1lrJz/hZ4HjGP3Vxr5l6nUErLDAyO1I+LhWkvc1AjhrP2FLM0U74SRRXiqe7CCB6hiGmkKENSnidQmnfJuOD3nLqxJ95YPW01bTRe92Vpo9b/aL7WuW8e7QsP+9AUE3fTttGW86EUIovyXfKeLQ3qPo9vDHcgdzRUZE7im8QrkxJKxlWC4RFuOzm5Ubx7+Nc8b9U5Wl7pcHT8vaNVQ1IsErA+4Ir5MleknV/PA/74XdAay+qrcrt53TURoYSUnj0u1/XzKZ2mY4OVRz3VVvfwyXxc75N4SmPwoalpq9MrdrScxEsDx2LQd3R/0d9lgYTG5KnTvILFGJ31PVH8AjcLnErfu/JX7b1FR21wuB2jj2lJHzLuz1U8Pqbs+DyEP6Xu8EYH5+fcbKqX+1jm85u9/1OmB+WCD81rf7LKqu33t7TH7WzzbGzO9l3Kx0y1afYZXZHyVLl1qUNwFa5Lss5+Sm+zXMCbbER4PYDUSERduat3z+jarCd64x+aqj71aAwe6buBjCfq2tSTQriGAKb6GE9VH/YoWM/0p5M56VlRjLq6LuzG5UCHwd7qWEzHWt4BC96361akK8d1LWfuSpe6RfWdflX7IhX2XQM7Zc0qWeyeql/v0qKkILfT6qo25z9k6nCZCl/Arv27VI+sdVR6tr7VTZi1QxcwdvC/1Z54y1zCEzKvzotN/h25XP1Oz+tcqnZOaqz5XefnJv92w/IRnp8di1TvdYFlTnI7zd+z10Ok+j709+eYnoL7Gd1kN3YP8jwsU2G4yuPNPKJ34s2Xdb117eBBWsIhEzwsDz7P9PQBmB089dVb6PxrnD56xH4ZUzF4g+GTAazlJBCHDRonmPx+S/uePC0UB/JJ1OFxqYjTWJ0yXNLw+NqEHwMivFScgF4E7Hw2T/mOUw5+Kjrd25OU9QHrfInpTdYauEj96oSonApxjx4fg3qUwQWbeL+Gp4qKea7IrJ+VK7H7hVIYYfMSSnHMBTOcrY250rMTpnh/qrkfgtS2w+p9UEE6JZM8jKNvNv61z4UeeQNheMxIPOO7DUceXcLhuFdaR2NO13HS1QwN9b75mAjixC3jTU9AVXHeaFP1HCdT1e7/0cNDBufwZDFH7oD4GRYWQtQHvzsmFHLqRwptGieWJMpFvcdoa1GIS3tuUPj9l9FO3bDk9x19xzEhgt9OzaqdKlWxQ4Z2ak0Vg1cEzmAeAdZ3pxU7oRsnu+8yPc389HWMmxlIh5Lnog5c+QlpH//7zDsOoGvcC92G0cXIKzfrj7f1/pg664vOOz39FKm3A6JhJZqgYQPyvJvee4MlhadCo+wZy5wKheGKFxeW06ovdv9quf9Xj8HHw4PZ5UB4GVhkA+6bs1yed4p5B+4xn0X7R174cC8592xXgXmwU6hfL+93Fzfaopp3RrtgUpOF2FIL8SSvwO3TzP9jvLy7Pvfsros0ZxTLPcKR/IS/48377QzI4FHozGf4gN09K+p5cr+8upim7m2uMkPh3TA9DHR6uzI/D7SUe5jr3ZxMhz62cSLVadf5FNNyc78zbzAzPEFT/vhAeL0en06YopyPC7y/Gvw38QzGG58EJlhD3/HknifuueRjaXJdXzC91x1Xftq1yMaIoHED7ofJ3bufxNVJb0UO540+ohlC0uFegFzW2loCG7iHmNO1tXF4v7xNH+vKe3z8yulZ6ICDvScXmXFnniaJRlD77J5ixDfTOBY81fuWE30xLzT6XDZFjXYXNku4EB1XIZy3nIfv0Aw8G6Jc53RYtdBHtAHEHO8W0dLmt1Kb1oYwDdR7W0kOBI15fkHaFBr3OBODaZIQDl1O7DZkEi1h5kn8Cfnd7rfTY8adpO9nsVLj6gtuu7EfPqaSnJa78bT34xM2vxphW/WCwvOTDaCjDveQzPT+/HgpzdWaOm/x+RJtGw8Xta1slZOpb8YzYt5c1DMqyPCuMPU1JLsGUyaFHVy8V57pV/AtKqM8pZwf0fwX5ge7lGQK3YHNNAOk56EbGM/a3kEXdsLaHntCjU9dxm921PUDE5Z2p2o9MDN42AjpOkK26tQViOblFKh534QdZK5qIS/ajSKEDJsgTj00JUG2xwo+GReg/qe+x7sCgxOYe+Sl6DQy69JapoHR+ywIW7Q9jO9tFvkRnrGA4VSmne/NeBSjrtoXhlXJrij5swI28x0FsaFnqJGLC/sJs9ehN0yb95Rhj95GJWo8Aqfp40GDmHeU0riEPnAHxNdQItLKlNECAod5qwiO9wOf40YmGscr3ifGU3i8fc4WD9mk7xR53rGJqiswL+A1MF/LUo9EddO5lsnKvNOhjw3TZ9jAktc8ODEtU79ijnudqRP0nSPqPEqL/iPpnuW0TqLGB2y8xK7iiu7zODsK5sxboi4F3IWfR1tA6I/cx2Qn177XKVXZG8mSRSY53G5r8lpIpTuWF6Xf6Xflpcr1jsIaFTVluaitXbV5jK5EMdZyukheXhnNY4cvUaHAZElGXntokvHN866MgTAczkM2Vzi0bfBrpi9Fsq8XnNmXWGsg2cvyPcqXdo9HDlumG4SeX8qPtZRy1yfBkCI9KZUp/dUCX6yB+O9z0vNygKDOH6KHmA+FTy58oZlTAU9EBJnROFO7qd4LXc3kyu7dnHNTBi5XYGHO6epV/3kk5hftOmnlE1d97WwC+4zu9urE1zR99Ij9wZSI5hKzaLxMk1Hc1qWJGUfeDzxVMCbXSvErQ+ROoJ1kn+VkA4c4cjw8NDAJnhHyQFfB+6jcgzbCOLaQzK5MsHdMuxBKYxSen5tZrQ2jd/gZJ1dx35cFFxCtNQp+LM7W+h4IIV4YhH1nfHt/k9G5U7i9flN43WMv0bUv4NPifLRPmx5JeU+C9Q2nqglPopJOUUcdTwoHPtUpBFfrkeeJ8vMfMMot92LGJmAZNA7REmGYMccrtVlwpkC6x7Yq62d5ToYkDsxN2tb7UXPZ+loA4ckvBosr1kwfvIDDsPvv6D9ig3acRAaWuXrmv6o0zznPePO8pSPct8AJaKwwFadjfp9zVZNildDW8VyHS5A8Tuc8LG04L+K5mfop05AJJra2uywoLYtM5e+gv6sUY0k0WNtfeNSEM+bszgOi0ibTLVdf4a+p46k1TGIjF2IedjJ0J7caWmDYdjz+TanQSSdHk1xu5kKrmHvBImsZ5m2dRPfzYEipo+kDv1/kLtP6bhzQv5NaFkg48o2otKDN/LKrH81nA0ti/Y1nbgfrru0oIuv7NIZvoacytnVRcaHRHc0mo10ez0MGQVaaaBc3JcMYut2mP4/0a/eGS2FbF+By+8t82/Uv0anuaXYzLzik8A72bbp4FW2W8VzmJNPhx7RPD3D9tC30TFMxZpJ/pwbR8KwLIM5NqMjPmN5UZ8N3dnW29V7Ig8tmtX72FegVvlN9murjdj6YDmJjHC2v6GRBz5+b75t57zCnx03fFxVaEfrfshbgfIbarQuOaTzijzvt7ze2Yc3/IIVN5/ZJ3QRa9LzPaaI8QwvtuK4FW4g6IwTU30ZutTqg2AvHEejZFdyx6WWsisvYRl9WjJp2HV5+b+W2vOJKz9UmD/e96HL12dDLpjfssmBTcUDfI/sjfa60v/Kntb+tDtrwhlWPewND4v7u5sCmug+eMpVOO/4F5H5ooRmmo9BzJmJ38lM3dPZBPLzjkQ5uN8c3+uEz/PfSxrqC/VG/eBoaLTyUaWX+LWu2mt91aTtHn0lP9mnQzBNEanZbWubq+tO0XW3O7dh0MD+hX17iadfmh6RqN/AntdXBePXs6n3Lz6O9z6hcV76iex2wpeFnUuHL7cG4TYQl4DPojZv0efCwL0P66BH7ZUyVKQjf6arbCR8Ld+75QJ4UvaKo4y6U8IaSsUjjnqzHZDqt0mV1KwSHw3UU/9j73NichqErHhcz6hC0C2hK9+G9qHkWwO6jNM/HjkE3KRbGdOJsekPk+OPsHbMw+6SYO068vqK4NmMXC6/sCXNi3BHIsGLmWeu15yLZwDEY+U5hp6mEC/LOODf3NZx25xAvEB/34X2qL+ME+bqBILMilHduFPjpSMchfepBgESdDDj1/Qbcj3GHqx7j7sHbp/leFC9/QMYpqxM41PGvUd88gUmdBSA+AHa6NzZ1BfPELnseuxFIG6EA8v2d7vVT+yWAQkdeo/m449VPTvMGYxWyN2pLMe8bsrwKu0MFmJ49N9oj9SHx04d22lfd6/zAOGnNSqTDYfcY8WZ67fvc4NNJj3xyW+mTx8Lhe/FJO06VCm2UnK8+TkDyBIlPsU1VGff48Oap4594lmLyBZ7zcd8jlcF87eDN/J7NWZt56p0viJNw+d5BDA/Len+O1/2i5uFndwgdgEAjdJVvPokivK/V7y5W79NEbfo0OkueWZjz1e8BjnHCpPPAw+sBJU+uqUCS92zQpDMnzJPzTjNxd8u8D9tpbZwOnzw083+ieWZFnQilQxJxirkLl4jZ35j39k7sLlvehPQDIL4YFHClgxUIXFZev+gD/kkygxN7jHo9okgnJR2+uJ/V6zlzG6you3di0MHNcYXpyershCJLpM1PgmPQKgCjXUZyeI6D8SbpHqS0mKNjLjHMy+lXgn1OxJyv0xtqWSZT91jgu5m6hW/erPN73HMm+ziB8N2veZguDK/u6Sm1SO2Xt0G8yu+KSfgo+s6SCn/wvGzcDy/HXNj5HfM/mm4JhsB3wYHSmCYDsoPTYbQ5HF7rNL6jPvdSmgPe6rqS+9zhxHXGoUcjyY+U/dSW7sbdd0p5SmOMc5NDfqiP5Qvg+KGrAbi9chBv3NM68V77LmqRD47ZiHtpxPxGxl89qe93QdbFIlG7IzoOE5U+M71WT9yPaU29mmDvbNR8ygct5c91Yc78cRR0cn/O40F/8352p2+vq13Y4oNq1oZHUMJhXojIdNX2j3mawyNEpyfJNinvowzpQXTojO2fdBjF51MzV1T6CFGic77U1C2G5Xv+rM6NzO8OjajPJeINiXeTx+/QpcZAxRiuYAYuAIyxauaqAEnvSPqWe/9Jg2fFkO31gB+oDoF5xnSADeDi/tACV+q/2W7DO3DIhsOVScxIPi6L1OByu+54BdRsTL5bVoQ8PJm3+yHWdPfqhGfSmeVb7HfqcNc3fxYeolROrSHX/eIwqk5vwo38NKBSnhFlRwIXLl8Ec67JHbZ+MzzVBg5ljC3D6nA4XMs8Lnjy79Vu4O+OO8UkZLMpkyim+tOdkS+mWPrdsL4m8Ip8z6/zEtdhlfiEIkUF4/aY74lPabfLmFcyb3YaZDJ4QVQQkSrS+pFVZl6zER3PG30lhUGRURlzdtWJqsxoE/MZbwMDV2fgrTTaCYroO8NKiot5Jqd3BYbgF0YLcuoyjrOsBl2y12rqA9MfK7D+XErempgnnnPOAzTWVjaadq+0U+e4WTUJFOdXHsmBaHQLk9GPHkjrJ9Xe4c+Ek6ozcP+LXpH4DH2PtTkvX3FOeAj7wD3PjW3oWcaiXS+h+9wV07mgO+xfk/gYEGxeV7XBXeyKyRht6g/ckFynTDs9eEZqK7LE2mV6mHrNlOtc31bfA5Jt0untpbvrMm8dw+Yd84eFRgqfGWsaxPcbOcjT0YeG26/i1FnhOjZOJzmSRrupzP1crngsfWoSR0KoKR2ko7brZvDWK5ThfDINnLgwQu5jra+zbYmmWnvSeRKNeSdL6nVdEZGL2q/rG/Wg/Oe9afxZ0seN2C9xio07kWk0sdt5ja9hvytTu/KinCGArbxQyDQXKDon+zZElOWrippPyKXMCUgNN0Ap9C1ZYfeFo1h8t77KqbEhcdYNU4JpMbIZvlDMMBebqH69SRJwfDo5hJ+QwCcceD2pn+T90jH9hUGTAhkGcxFyNazj8ZqVqq0yXYdVyyuvm/Fn43jeJIXYaevt+gJQmJ+qWJrRVwRaCNDajBuih4VwPsYmjdSypviFseR9E9ZkBhCxsU/hcEUtDLVthsqrDMP+nXP/4Q2YDPWKAzfI/OSzYm7OEl4AjI0KUiw5xFMb+rgpH/UuGtnEtxDt+AKE40IAqA7ekJSXagg53d/KCU7/rpSXrQ5vxPN7WNi0yawJj2IKtN4BcS1UULxfWQPzjloVyUsa04gmPSToxr7EPHIYmgXxRFeWT+2gCASxsOO8FfQZfRYNdKVNBKbPNJfnApVi0GTICl+gKvAEPhXJe3X03dox2ZF4hdOf0e5ukxiKvInM4w+MAxOxGlGKLpu0mGGligexe6+OEM5YjXymKwBpE1jL3LE+p7LeF8y+pLwUHstDfQtgm92jTKv0S96QCxphHkhl2qm7kXEa/0YexTjA5IvNyQgCFv0ijfdG3rhekcIFe531MAHN/xQ+uf6GzeXKD0D5WVQTfR7vB83rC+ZBA6I50Vze+7lsiFXa4UMaJPuCf5OxvW5ilD4UXKTnDl/hH4tOhSmrhOULkX1rhBS6ynggXcfydpuINTyU1+OhNP35eQjhW4M2mH7WuucYBXyud5qexAshbPwva3gy6GjkURz3cWiPN5Ic1hlicoM3zLnH8pFxsLaNNmyY01tdSPF5tGzGysS5b/Cm+1pRxi3kRHM/e+i481qSIcMmImMcSa6ErDnoihGm60L3vljEMKXvTFshf+bVHt2ixFNeAh/TSJW3ANje5xp8R/d5gEk73S4d6R3+k2XV1bwCNu8OAe5KeUqmSlNPJJ4Xy6Iy1bVsAj6CveRpbWSub8Mzoj7P1+RJoQ13c2z3jPmBz/8iNyo8CaaLPlTdJMZc1uesT3CdriMlPfcCru65+BUmWjZkE3ECfm0H1A7i0PUdS1/90/AUoWh9/cWBvlEF3RzkOhf8Fbn6iKYVU692POuGuJp+LPZYBmadtIS/Yk3MgXa4BHmNlvFW2+GN2FTfRVroY4M7Hfli/bbK7KYdMVt8jLHMtlI4/dIOt2d0HOs3x8yiJc+sEKFD79ZPujWPoHlzREgYUST5H6qwH/a0TfErPcbrib41fHxnj1T+Udfz0nUPgb8r+dP8buZYijjGdG4HR3ydIzWnsvCvLQxpbpJMBHocVlojm2S5w3aHW8fdDXGIM97Vg+COY5T+NOOSwGpAx442MttZU5WftYFm6qaDtbs6C514qGsIIioY2ySpKzLLxfw7L9q7SLxms6UZG7OxLET6QJoXmua2YA2/6/DyZ410sYXjom/VBr7ccOz0jZo2+gqz6gpj2hBteMsO5kBHGeun5m+pq35/qj7G+4MmR8Yn3gt6G6eTFwmGdQKzDMmH0UemlsZKHS2YFzjb6TusB9f+7ca741u1/la/Jjr9gGn9VU0fN2K/hGkqciZ0sVnspoUV9pRNi0zENPhd/E6nCPrwuPHajUCvsy6KHUUDJ8+Phcnw6XYdQohTKLKmpOqN2hNkD+HizeBMPdXoz4F0WnUKcgnFfRQsfY3FMSQOMoSphDLtBZY77rhf1K4vgArB6O+T8lqE1rgTbHh0BqMuilN3YoQXO5Pi0zCvyhATLK5Q0/1kqd6JoGUzMo3NhmMORUnoBGmWGAJAaQFxMd7deLK2lV4HXty7lAzobgFClBzgmEzYMyzu9ilKudIfC5MyXhy+OPLypg8fLOgU7IOkddEg9IV2Olz5V2A5jUl4S9OqKmXmEclhWKN+xoOPT5kLiyFtYx0etqkeFCMdMQBqfVE/ZuuK713miebUJoZBVk9POo1UZZAVoOIxJDQnB6vQ6RmUvAs1NvFj4cv6INzGaTQgGifKT/ewlmVIZx0Ok88Vnp9+H+YJQBXnyzDaTtuwFG8TwOne0zp5TDRlQ6F8/7bD7BPCE83XvMmoE2Y71atQSBxEIcRyN6u3d4ypznsRRYMfgb2+OSVSVTBtxB139wkXDqITxXpIon73fESrrSz1KeoLNOTlu8wzwbb80j2uz4vfM4/XsliTFmkKf0598lO4jYypddWF5KRnNPMrlSvsS86ymFrKqZDnrcPnNEab9n4fLNcfqJVMchUXtY/h1USbYQFzFlHJcBSFzTlNOHQWybBX3FT8HHdML/MC3/Kb5nMEc6CNsu2mgYx3Sf8hWdaRZtd3abx/O4+uuk5l1Rhe5sOqHzkPZfzHHcjRl3mPZcdH0xhQnrTQ4dVXL+PoE8174/vS6Gah97V1oBy0rBm8DqrA63OP9KPZgE39ldm30N8nboKner/NGy/qPRuPP5JlFR9MW44HPsAoIN7tYxqHy/Jc+Zg+IDWHdd0zb7WR7DlIphfecCXT0qPKu+J7yczjevSDvIROr8yHf3dV+BxR0zmsfzHvrdJlY7DAnmDoYKwwFZiZ7uF1+wZBBzPXzc+qnPamHQ9FR/FFfFXgOIcXaOJLshZL3S38ec9bGOYKA+GXPmu0jJBXkGxfWD/bKA9AkgswOauEp3UDQmbfHA4A8mLihnB7vIrBanqzjEO+J3LF6pFPuP7zQliyHhBMdJ/ng5KPMc+tQkdrmYJULlM/HW8HloO7boNFJCaXOQI6wFs6pvTM9fQD0z5wL0inQ9fFPB1Nvpp4/abTmTDmZNigYdsa/zBbIF1Fo/OPI2LxoboqI+OZ5TmAuVFKpBWRjnyuymgj7izuDo769xgn84zlNY+IYuRgZT4ba2m8zledInZ8QVa44sqoG0XK0jFXXD+bIMgE4KQx3SWjLxVFe/2Tzd+65rGNJqpDDirjpM6bZTE1l8+wCRHIeMj3xEJpwH1OeT1B59RszEMfJASOfR1gZ2sxyFM2oTmokFGSuuntdbjhtviz42VM004jQNbhPT/3Swj9Nv/SAePyeRX1KGz2EyHzeS4HistaopY+JbJzGMvh6nQ4k2TwJBGl13kA6n3xQMbRIuOsrSqLY4walCRy937r+pxT0ENqO/O7tA7xBlm2tL+hyU58si05CxAMjdIz1+XLM26PeGLVLTqa2PFIptW0P8J0Ub77+9G2zu+8p3Gsz6ruCSBHOcJ+XGq0pLrMnuqU5nnwmH1UmNReniLte3X5HA+R7WKuYMfjv4bp40bslzXRpmirwPHkrs9IAXKhwUxnWaQSzAUznRN4OZ0XAlOKUNDJdE5TKsxr1csNWCXVlRYlF6Frm222GBiLysCy6JUUAqprWTSQ/Hsova7B2Ts+Bem44PnuIeOE6rA2j7t1nRmcVZ9CALIAUOA4NRbRUhIsC2te9LxhGISOwxNxKbp7ThwlRFgsxjaCzUP0tRs+mGWT0DmA852EkaCuKHn1MtsVOC5lKNbFM2VZ/KfN0lXwjxbETiXXTVg3xqFjg+kgoGZoDwwDyGEvdUximzgYUnE+l7sZQu/OwOEoqmjvcFVAeCCT1KbfDd1G2GOqy98BGCGV3LjiMFSiwDvr8HuPDYQcGrm2dVjQypOaTOOutuGla/kXg/89ptc66F5aQdr4DjjVKvIDFmyoJwMGWE5Ruwes09NdRggfN/YEEINXy24Uz4n2kntXhiI09HgWYVWDJzqe5qL1YWEXQSfVPWyQd9cNDrl5G4JDyPyL+nttQszjNHnsAcMr/N0gbPeI12PUywcyYgHfNAV5b7zgNr3UYSeuz08Ml3ZPrvLBG5tEgcOqIL7YArDKWNiyYVMTUOJzVLzPOtuOuWLvgudOmoJgeGEzbQVofF8t5twUnR6tTjMAhW0bQEps7Gs+eVvmY5pT/ozvVo5Bwwzze5+hliPE+YF13jXDXxdS4zkviFlb6m0K1jBQJPd3RlfauJHyntsvcC6LxQ6XZ6183+uzKwci3HDML8t6jL7JOaIeACO8dxhRd8QGrG/GAgiadvm0LMZQ/xcDlts3gOJOec6jhEcSGal8fUaGXYKFquU55QsPtb5uM1FOHQc7fN68jmczokjW54A5x2ooPV8wYlbT6Vhx2vvMfYqF90InaVOV296Fe3I+4X0mvhA8lxb/wzvWylaP7UErpv/4wRnP7rpxNfSMf6lf2XB49JGhmxzBC33gxPozjOK0wcT96ln9knfMa9YnVvxWXZ/Tcc9j7vNuHgB1cKYOqgf6BVGmeeJv9dqE2meFzNCRPhaqEbI/qv8YlvjD0zKH5u+5kMfjngkwL4yMQ8GuN7Fq9qYFNlqgHHOfdIm2QP7u9hQfFnFY9cK71/Ugn0RT9wdQi1zNw+CFSPph8M/NFTZpMYrlYK2+yn2Zc70uyHk9jktusy5w445pH+ySA9XA0OK18Nq2HwXH6v0R5AgkFRlSvhbeE+F+qX5eoI+yWnCq9ELENgsloqocFlEmbQbooDXxgwz3QbNBPyrLRnE61BA40fxso08u+HjD/PKyy4Yw16Myx1mxTmDi54vcs00tVQ3ZKqRLBr+38XVdbxvylasvczLyV71VMD2gve10OLjUm/pQJktaXfbfEtehzLolaCb0e+6z84PuwBbPKadTnU0BhWYx8XDwFSKmv4xistITlVO3rfy5R+9x29j7yF5UPDe6dZDaJyBCAIvRUcBKnYkD635g1sty+04jbsepFwa2cyHoYQCpkpEh3t/qcezj1yWef8vc3JXJuljAFvTptIOEzxkVymIB+fpLJx8qb+bmPapKjEMP5tJH+149sttu1rY7uVmLCLLMkvK9zIt4p0g2jvdp8nEK2e/J7bsKp65TPto+SxecF7pdbnmdFJelmCQf5++kh59NfoarPgdCxxldlVxPN7aFWHaHlrblsaEbLX1u5uGik2DF09P6YRVDPm10jkHbZqWjTR+7cxq1TKyX+xw9Nrjp6i10tohVmjMcRSrAqO04/rtQwJUeGhzvDj+Oa3SovPe3sw8qDdT0iNckeKjYVb9rXza/Z8Sota4RlvsNwH2V0seN2C9x8sWp2MwyYR3Kf2R8G6ElwYjNBFuYhymebX0UsgwG44F5kq0ForSTJuc1x66LsgAJaYfxLJPcTy02J5KWEydRaP3NsHV3+zDTZCabFjsNnkVRsGe+oHy1QCBFSdglFgppMb3UxzTRChLGeTUmyjhMI4DapQxVubokX9s8yiFYWEnHvv9s4XhfSFnd9s9piIVTSdXjeYGHhHqEoBGEkZA2ZG0TJhaeY0NGZ31L3ypAkk7iAihheUuBOu9YCDq/sVPOiS5OC7tsm9hh+PKYeF/9feB2ElacglXMcWLliYnnBjIcsa4FCbIBfuiQfHX+eJ3H/CloFObKE+hZOpgxh3UuNAAz5FNRsnnjM+Z/Q191MW1a5PS4hMM9XqXwUO+3Aq5wEcl5Hj+dHArnbdCohxmPVisfYvpRYAk/jDLvDY/tom0VSErzo9SZfrd88YoZAlrnhGr2kN6Uczpu56SufU/PK4xXcsZpAkiLExBkg/GRyG9oKxnptYoHss9VD6Dv1g53KS8dFkhwsJwIekKah7X+eJ5OGxfdgOqr/I6V/suFiwbe3L/+qgYFsiHM7Rd5WctGvtpvmr8JHd18Yxl9yNrHyv8JHl8g7PqU8uFBYhqsvIDqWcp4tspz+LnVkwz0hwCt7cdvh7OGbdKBv7Q4XEHWGZ2hwhk6O4CnNpqe7EN3SJLrWuYWSNR27cZvzbLvCXi6RZj9IsiePzNNLRuvF2z9Yyqp6gHoedcu1YWS3QLasunUtPGWdnc89nNLRNOxyG0Tgw8fJ3XxDfMxdLoyD6LuEgVqx4Of6cdVqguWoO+xQaLNlCIWttMzFjPiCdjdG3a3UbvY0RvdblvWAeY2dvyi4VUqCPvivMn07mQeSHpJbIIJhl1Pm1BpU9C/M02QDGmvkwHl2+kj/tWvtIkKuXyDxERzYt7YtUwB4lm+K3a4qJP1SdfShIMFXsd93RiNbGKhp8d7ZX1/oZkxKMu5jMC3rkynhkj2w6aKTMCFJtqU9BxNzwJXrNOVdYlkEuv8Hvt2d/t0+/X06BUgO3TVS7zuiQujQy9HfEyQ33M0hfEsI33Y1DTGBe/BByrvCx3W4D2jsoxPpmFm4NwvmoNRH+k0WtquPCThJ3Vu97wyxSZPyqs5X/AGi9cgA89Xh+Vbe63ytEfytOGx2/DYj+oo7SybnpxHMnyLjVjr9r4VR48xD6gw8TNhOrB6gyUyT/b5W+RxrAtjyoAr/UYpH/d36uFi+SvPbWQ1lUd5N22Kpq0dH+L6Kn1v6KOuBSc2+YRe9IxewPjyPsX1J0vmFU+tvsj1lbae3wiWkC9eju2pR3Vt31Vx3GzCjheAkB2WqgjaNPl3lHFv6OByP4XmhNu/i51bYHjaplCTcxtieTgeO37bpSK2v2jp40bslzDxghArLukkUCgw5U7YYLSTMrdhbwB0l35zmDCgCJjCBEYdBXaM8umEJIaCpu7FCW9jw4xaYPPnxId7ngkO2Ca1SgqtKuyhCxK0FEJuPLe+lc3lCufE0cq4or6Dw2cOpcEZrIcL1UPCS87DVEX+Y967GqfP3cvnPseuMmMXFnEXmS/EnlN3TSdh/Ksr1Uo6btQ5vT5g5dXuhU1l7LuaMgkglKtU1mGOzUfLW5RA9+aSu0Jey+XpSWmTTK+kcKnRolr97v0HJZiQx3AfgpCU6J3A8k3Du3nTsQLDSr8i8gzvL7GTpTaA4X1XNWxMj7272KYm5l2w/t48dXGX6TUaCk8O0+N4m5v/asbe9LaMcByfyqjzxTwQbzo8clWGV6Eihy5WzL500lUA3Kxyh9HDJn3DHXI7wwONce1GuHhYZsLNcRthu8/XscuYwu4cOk+dmqenvAIv3y/hgedzJ8034hVp/pt33mm4O15NiUt4G0bW8TrKnjGHbK74PLJFAlfs1esh5Xd4sKrVac/eH+RZOeinbjTPU8ZjTPUG3L0fL2rot/F70eS1OYGZ/CWG7y443g+P1/Od42DCAec97h3qcKS5Yx30Zz7/2PtVi1cbyz2nmepl5jzAadFPZNc7iEF5FCR4DV4eH05s6HsW98JUJD7Cv/lO3vMADpXJc+3P721N9etEU9BG09+4Iz3kGuZGLo9hx7+AhGcPmRpG2UF1av69jaahE3XBp4tXYuShUMgpLFrhz1We4070jjlvvY2Y14xT48l6ckSJ2cZiDNfDT8YDPDKFmtwO3qFzLJh36M10gTvhUDJufMG3HvrhjcfV6Cp4Jw/JCONcYA4cGo9iQ2/WK7PP9l7q+1lRLJDE3e8UJmuhA/JW1lzNchI5jS3mc1446DfM12es56gA+tJkcv5B9bQLLvWgH+ke6GAzHIVM8Xq6MKw+N1zfu82xENchPcpBOd3v+mMssgHg6Depn2pzoBt/WJQH1ymNzmH1DRomuK4WhXZj4VFwDmnH64toYH/hUpkPSvT7JvwRGU9ZYPKVbc4UUk0TfSe5RbwjstdFJBTdgumwoxnM90r2crahuC7MuWobEK4jsQ0YPKZvsk2D9nW539v1yByS2D3iV76U5G455CO00JzsUZIbnXqd7LhjyqcoH7QykCF20JujGfCBjlQ3GrqiMU86Q4dQk09PLZKSzB6bp6ajViBLv0M2+EZXVWApvOuJKXtHlKhJo66HH6+m61rdqsXL03Vdl+t2zUUs6lY8dR7Bzvf5mX2X06LLOE6rh7PDwrKdN30ZQd0AJp2b4FGsA+VjcTPg7EoILzKqGfQWXuKi84BuqV8VY2Mx6Fo3eCDYjRaWd6w3OA0IzF6E2Y80D04Z19pg1DdMIVISzkl8Th/JxuO557yLaC8hRWa7aVOW9IuYM6QbykHdVlNRb4Mve8SxFMa5bvwQisTbZ9yd85osHI43DZqLiE7Rn3Ucfb4zL0t/x4iQxd7isRYR+CSG4xvNPjY3nXD72FQ54999XFLUKA3Qo+de505Ido+DudnvdMi3wJXoXAremLlapBqnqRNz7QqY+nDojA3PI3us7lMveZt+ugxb1n8rTxLqSnUCKH1OU+OY5ZY5Q7zM+5LaMNoSIEdsw6Chc9NZmm7ZxlDMNTqGqx7IbzaI00aiwYNSd9RReNiU31r6sMLe6Qixccllm4McSR88sNJRpc8iax4qQbritL53UMKGZzlZ++v8sDhxxVpWocHgY0nWES7KeHSbiFUdcB2S6XOuz80p222U1r4vMBc4OoWq25MBkJ2v4iFSdJmRz9eQSxsXsC6RNwlPweZ2MLcVzrynRze7upYERG47ONMYa+JJ1W6IIiK43Ij+GqW3nG35mL5AKRaH3kJDnNcM5n0D9PeWJi7qfGToV2P0q5ViITEEofYLdLxwsIHzM6cOx7vfVRi8pZmGXp6in6qUkPLBMOVLtwuMpHhXoeP1XoJQx6aDu3sWnV4fg2Fxpdef20ZcnPBsYK51XXeg+V6fPTOeZCCMxhkIXA9mh+MrJiJYjA7eBGr7lMGcbfrp1eApMstt8foB839XhFfh0/PU4EorThuV/prq0h2Jy7sGzgbWes9iUkwXmu36STDXPhqNK9N7W3bz3EE/MBfH+CBAo8ylDRLpn++SG4iZ50h4h1/KprfQTkfHzVgvqdtIuDDS06GGnXFDtMMKrsPGfMvHMSm/fBDmCX7yFC/+QD2A67+cC0+k1iBk2Ow7b6DOja9phAReT6oXWb7IW/r7LE2LK/xUhufz55E+UA98uv036xsuk7qXn6H+Xb6Od1V2/2hMpdE1umwbeRA/O3Fa74h8ItVN2OvM5XfwXdnC9KZU5WIHwhP9+yA4urlf5NXHTdivcfoA/vVZxihtoALX0ZSehWEnrrs+MQ2W78/oM1GNy+j2JcOp6dlq//i8LsBWe+xCJqXP8m4xCyp/3fSZTZFL2tjZb962h8Xf6bk72D+HdKkDVD2cngFURi/ur+fPS0DwuI+bekLfLPbEUlw0/a3jopnXyub5EzAteKOqeGF2m7jNR4nGIeuMrLTlutplHcZjB5JQuWW+NFc58fwkfXTRVflZ1R1Ix+WxTRs/9CzR8zP6GBFut8mTlg1k8LPzpmlDOHBLm+ag/Dx30trQLqU+MBC5/0tfa5+77xu9YtpWu8Ev5dP4d4y75HlLesDHWza56zfx6LbKHehXsvPz6Fc3t1tdmmB59IlMF9MGlPTHNOXPjru/y+V53i5rQxXubv5f6AvLxlA3Vg1NP7te3tk3jMuHusyVPH70bAuT0nd8kF4FvFHf+BzSpZ7o7690qAflu3YcV7s5+pn6SfBVHbXuG+zejQd4Xh9mOfDsvgqV6fYGKg629vgXKH30iP0SpoXwFBC/z2lDzMtCeLzoCdLzLCemqJ7jXp43cB2vOpVGYJ62t7oFSOFL2hP/9nzxjj0VuEnOT5/i8Iu0yl5VcJ9h5HyZ9AgTMuuI+32ivv1YOKM77hqGp6ji4LvI7NSNvJpXg3mTgRTZOJ3rd0l6fw6D70745lNOgriM25/VGOqsbLuH7nhpZc6c97iTJx95P6hgeMIZHh3Px73c35qUeEU66ufvPfQNPAQRKUXCAz9pLk5uRr3W1xM4349QU9X7Z3glaVbIMXHXKusC8qAjWBz28PTTOY4xF4YHqngIWT8hbSebeSEq9jH9zsob5p1rnro7LwOP1tdPD/Acy/A6AVgd7xxQe32f932mzR/RETrb+iqvMuYf3xXK8HCoJ/eQTCfAZcIiSqGO7bUCuB/pRHPewWKEaXgKn++tDN8jW5Tb8PS7w7w+EXfJyF2zUk1KPjcZOON8jOdNSpuYtxGO3O9lPe0uHZ+vMW+PiTvxu6yZHzhu+d4irKiKn6ygw+bqoaP4iw66u9fOEg/SCYe+Mzng92rRZvzWICynaMU7KzN8eTqRzhmNP7GsC8/V4IdEa3QyOupwPmLzzL2Cw8tcCnC86ENsQKivnYHh/Fu5TfsttnB7etsyp0K4XFhj58voz/Gp4Hg/6RfK91Fa/Y2yGmg0GGPBhHkp9dfh4LvS+FTm+TJhYG/LtMncjb+1GWizk8017Le/AzDpvuCUhyg8T7sxeM31pb6T1yx/wsZn0pra+0LbgdvMY86XCUc6oSuY3o30LOCrnsL8TvMzZn1sGC6LnwLc35XxNLjOlxzZgvvYbRS6nmExBSwfM1fOS/W4rGGZCaRQ8e4FJnVuX/HThtZTOHbNddVydQFKCg16Hj+kkspznpOinQDLnHKcH/fpCZ1oShD6JT9fwp7yuKVFTxlzAAg9U+heyUn7ArcpKo6nF35zlQbB5bgaupZE+RjT4B3M16zOBj8cYcLrzgvPPX19TGsaeGOFaaSQKzU1hyyfa2gqadvNlov6Bk80GwtWXgS4n4Uu10ouDwRbFCC/diA8aAo/HfVYs35FgSBCIAZMoftp4oOwyDXOkpn/e0QEhj+FfSwwxHUkt/U9R1JykAIHgoDbPQ7dPguvNO6L89/D7mGkxeaQZa/F9g9AvT/lmXsWFxmUN17z9/DUx2wfhl62GVUKH2Uac7gJWe3iLpURHWTh9xwnT0pM/ME2n0RK3Q4vVZtxXGiVVlQ1APB2qKIi1ydenLeanCWbLco5PxXTWQ/SQ4LeSj9ZZ3W7laK0APwcFkFGaD4UPm1VyjGjaiSPtbrQVHmFrM9mGGN7cZCdyXVA1jE/JnDCdQDzGoHT7+E0HCc9wOKDpDGaDFRjrirw6lFEJlyxiePrNlX/oU8o7AomCX1zer+Pun3dhddlGA9jc0kB182aiDSJvmyuHjHhHJU6IoYpgPuMJBXD4yhw0qBoL87flrthX+qEQWyAVZoTttMVFs1Ng84HjxlACBmzKVJZTDmqS3SuQ1ZxcpTyFW+Wh+GE8w7eLHY644VIpmkpdTjuT55PkuhngcOypKpcXgUuqIlSF9NogsvnNbfBthKnKrs2PDfNB8WC20R21WPceXsTNaPtS0wXiXnH9VWZVaMlgfrr0ZZYZ65pyA4knC245bxScEB5dyIjsUNFkjOVffp7IVzUIUm8o8uASVvK/WlgWwte18s0UqdYWw/VkZb7Cv7adyeSnbbVaYkn7vq7bLZyKjKLRWrbVveY5p+vUae1HIZrh9tHyeUO6Z7sMbvobKB8mPQXsJTNYoB4TiVMoteFB5T+6SMc0kMPeZxsg6hP4/OL4A0LfNyI/XIn0lEmc3ZqmwQ2GZEA1VikemaB62aZobflr0BWpNPM7cJ/yq/pe504Qt3ZvudJ38C6LKw1grLmmZvIjVKUKm/qZN2yCkVyqY+F7k6RifyYigz9qWC3Jz9phReRqa+eJ3BLz4pOHiAEM9Y8JlUBrMq+AHtBuEsNs+bnC03VPAJw6Nmh0Bel6sDceOlwX7Ur/r3dWVofKZVXaDI00sLQQXPbXsbixEEIfzS33Xg9Je4YSfdicjkd8LFBE58cIoaNEKFPVq7usvcuDs0ORPRNX7h9ks5K2qqZq03BnNLdQTx3rM7UJL2bxumF0pnKTp6UFJPan9KeljaHoYhYHFqUS8NZjFdqJOfVI9MZLx5sEw+JzyFpcK3Nd+dl2PDKhkdOflZwp4hDK+pAM/+r/In59oIzpPka9xLXd0tIofFMjrIZ2/HpLd9+QKN1CrgSyopr6ijGwg+F8gvFNtF24c+YeZj3M5hJv5C1XJVPHAIpxr2yxbfw/irfAFQ6Wza1yLvAYU3yrJYvc9rzLeEXqy7h5LJb+KdxS+Ph71D4SCNfU1LCZcxDEkMb8dM947y8SdYNSaWNtBlNOGAPTF8U+8ybZGXe1kXNCnCd94vOwqxfSPx0usJmbKKuqKggPrVBOGh5xHwXdFjDTzEOGnSmzdiu3KYPswKCwzdOuC3Hm3iA6lLtxRivsmrWGYt55c7Xy9DF4Pla8PQxvT29BXfLCR5dvl+pwJ8lbTeK27wu0x8XaA/5AjGnxb5mPdXLPg/TMyltxhY4UvupENIYJh7d6EWpXJFjbZ4PTN3G9sM2QkdFOnDc1r2r61k9Y9fvHe9EGQZXbK6iP7wlVUK64t2P2gr+SAJQzeblcLTVfn22D6n8E0TCeqtsrDSVPNFaWh8Pl4hJSa96shNSNmE7HWk3BqWNdMYuYMQ6ZsQv0tqO63VeRJFChYbuajKPfwNU/snh2Cbun7oekJW+ZWPKwZhkNudc0VPzoQTSO4Vx0UxMtmmT3jXLJB04MWmETez2Xb12qfZ5m67we0FHD9OGrpa2uyz64H3TTui7jnt7yPbeszK8zcuy54np+LS+UKc9wbzAQ6wkranwfHNarm0Q3IsZUObtNl3w1GfxW+/QbMnvmTl/JeO5nu77AlOmnYd1PZnSuH1IurLPar63tNHlfVTHxXh06yzPpmT3fp6J6rtyIJuAXFf3lr7t9Pqn6rjQ1XZ1uT3+RdmEBT5uxH45Uz1hDJokdAq5Kwdg3ktK9aTFvciPxVBLd0wVQSNpE5EWn5hhCyCHAKe2E203SZaTDYK425RTnFwG2ntnlo1alPAxOrsrtnEtijWuupenE0R+4tlhyCdMCL+64nDizu/asBPLOuAYi+tZGX3ITASxKH8AyZOGN5ZjMzKjweAaP8a9lX6PhiI8SmqTulSV33H4TDtlyMp4KPjnNNTC8/VEeGukxW1F3nyYZDjqoLsoQwjGvQ+2rGh1pHnFpzGF4E70Mup271nheyirkGBFfXlndcM30nhy57y+gZqMMN5YBFZD1ZMg7iq5lHOvs742ZNUNcMN58SIDgBN2D2wpd2Dg4fXIG1yCiR/v/zFhhdi8rn3HoMUw4A5Mb1zP6uFl/L4oAeQ2douUPSCpXiHDTg+Mk8gE4m6Rhvsr94mTzCcwDVWja54bMR98rhzDo/wkr2SBnzbWhHO5F7f25PGZ77UIT3EtxoX4/a/UyXTHEuiuIArBxovqTMKn3S0omHdCvtoktv4vxOjzDZoWGCq/P16pPw5e5W/lbsngn8jyY71vyujKNwnOmU8OOlgAYN3h8ccS7c1FBsvvm1aFd03LePIptTupuP64U9ejBCjGAQnRuCcyWFF4Ss9+ML6Yl3pdSt06eaOkjENdI2Y9Qsq4L5symO3yHT9RL9FH8pKxuvle1VQX83Gqr+o3yyYr48Y3lFk++pBrfhZ6D92j7s+CtSkgpw6aJZyKwjb2M3lUPAGGgxL9IPEWf8c4pXr4lHeiCR4P9u49HOapz7X3FwoQ3prFO5L1pp3Oct7KZiV9TnqQgD3VoM39vc5nyxjzPBPHB+WJKjsZHf3Mv/0L63hOB9MDdd5rxPAw3806WZZz8y7d2WePAnIeo9PnOyy8kD2teXFq0LWQLjYadl039CjipYO/+A+kcawRRYBMX2mTnr3fnC80/a2baTXPwOHnsNH//2dp0AMTib8o/OetePWDvnD5kel9kdHW5nxY4PSIDvXdIVCj0fXgLfEclPcst0KhWLux2tLOo0cZKTDXeT3ntK68ZWV96fni+d3lZ9lDY5eiE7CsM905R64p/Jv50M4rpv7mV8Qvtn3UXEWqzvmBeesmm7noxZOBTv0EKDJNTR6xyx4LrSILAsTyLLxUCZeJd4LyHvReMPVOIoCt/cC/a1SFRPu6Ru/pkiKH1QTmHYXdGDX0BCBHLKpwqr1nQvK++5wQ0rHFxwVzjYRlsXnW6qHDPkzCG8E0IrJUB1P97mNXdArcFFLq8Q1HLXZ/qk7O4THreUy/X1il0W3MVfagO+kzPGKNV/jcd5jp8PoBXfQXWBS28LB1Xcl05fj0CEpFD1iSABE5CWq8Voj/IWBT9/hkHOvw2j29rtvkx3Igojo5n2k38HyciBdV7/hEcm4HLTQtTmxRr4RC3vedhWCQns+lEAfMD0p55ifuJc7v6tztPGmj/wVItt+LXSnl++SFOuVYVXKdhn2dkSIzBbsE1e8gVR7RyLjLzSaaOt3dquuabkLBWt2FtyzT0KI7exGSW7wWcVDEN0Hu0+JFzN83qeLExynJIKIrx0+K6MA8wPN7eeMdHB3D2w05WeV503R6iOYl4bbmdZhD39/JGaqXo0xKU2eXIpKS6sxaeRp3rPS93UC2PGl8vMoGb11bLK6ina4thkGQx5SbCj6oKwzRSG60RmbZOYr54d3WJheCnR1JdJatvK9e+dT2o46vTl4Tz1e219b1TFr2g6IZyXPo65w+bsR+WRNrfumiCnqsDcMhxdict5NiNw3VtcllErEytPG0jYWSUP7oRD1N6iQoquJc20EWTiucTZ4CszO+Wo8g9yMJyosJGxsuvjFQmX4JYRSvq/IgNi7OnKnuqEtLHQmQorj4xuWZe8owpc1owlMoHAbDeVj00+rxRAqFlr6nOknhCcOgtAlgeuguAOukaZljHHR70wg3W+9PwSljgy4U4tmvsVBhlZxEhnX+SG7bFeMpsDA3RRYDVqfS3SlenqrnK4elqfMC9L0T0iHoNb87gOQZz7Daoo2H4s2bTRnO5XkoPAbAAeDFiOVuBEKhnOQuo78Rspn7I4PQjnlqOUJGpb5bZfTOzgks+EkHwQ8dCxNJA5SMXxqjMa6S22acOhi+EEThPWGKTtqU0oyqyl+CpsiIPt8hhcwBj43hTO48HnRyPBlx9og2iRWusI1xGjx5dnYJE2cGQjZuZqjxWGj1MD73Eeou5gdvnvvwp/k250uIhINkhcssP1DBczOYE42d4xOz7HYsPQ9tvA74JH6nsGgM82I8E6ybBTQ18a2+QFPKi9Npsa4Svpg3AHnjU0YYXAA43iNwkXiXw9rII4DG/0IGcl+AvnxrSFsffWHG54Vw/xVQD3Xsi1qOVx7L8pzlVA8w9Yv6X8sKSBYS3KMdbXEp5smkVCjmr2BuvDqsFS6ZMMRCty1U8/2hAReJCa8zeI630+Ay6k9wZ7wcr8w8Rxi3HUqXjTEJtgLeTGXYIcB5SNoEngtKzBhnX9lgnsaoEC8gvhaIIbCCd62Tsh7SqG1yv9J3GX2MqzCc7vkAIwmoWMdMU1vi4Eu3UDVpzIhEqFwCGOMA4Y0mpT3P8CL0LcUm7KjXV2RH0LXBmjaSgnZ10pVN7jMWtyZcKtQ1PuhXFlrF6uLNNsE6hh9Tk5hHde8eobEqV775urE/2yqKnvNwYWX3rsC78C3+fDLN+dwXrNfP1EVPhrfO61zR5vsFLCEDpNJ/VkF4ATH4vj3hOd/3b/Yr6nY+yvrBAuzFu5Iv4FoaJ75Bf5eym+W7IAvurgjzcPFwwE2xpFOwsKFH1GbSwwxmpd87WJYU9WtfzvtIL7eHboteNG3o4hX7KG10pKS/L6ulXG7CN65zsmpq+wqzv91ucd5S6vcIUEnhQT/2SxsT+Nh4VQp/flFWRC00sK0z6AzNm2Bh3YNR4DoZHdBYNtAw5mp4DCupJ8RP0iYZpp5Zo9GETcRzqktBt5rzWSN6Sh6vyKPJjgz+xAcnDGAF7CChA898tMDDtHUFc8CY8yV9KgZDZ/4SgSPJiw6WpOvIOj9rB3Y8qM6VwleW8lqysmwp7wHMdSenbTF6WsYUM3Sy8z/MMbxK1c7w5tIa4k6uMz8vNHnBtvd00Ix9NEUwpfmimRS4/8me9L65Dk72Gvc7Pi9g2aWHOlLhuX7dS55bWPF8BcsGl5pJpx27tMYgpf9PpDZfJwfq79rHSss1b9t4k7+BYafPpUdMV28Y7y4lWzXRbBd7qE91zHYRhd50aPVK90Ie/6dTlz9oqA8l/KxeuRvfXcQbFglf7/RxI/ZLmCrzGye0nFPrfNfosFxu/GioV5C9HV14Fa/QOHGEKSCmUqlpUY2VSIjMzSCsTKTCMvLMl+GRcQ7PJD8V6OV54W4ITg/JQ8qhf6+bgW6s+KKwT/BQVB0XDVNTx93EESwvRMkTeda78Bp/JuW7v7b6QmmC4rjLWKsSjAVWxVjsPbHwMF7gdrzyCUwfw0Qj3l9MQZEWGQuMAes5Fv7di8cXfhM9Mq2FgljqFeRwrN6R+tW8JUOZdI8/f39ieIzpPA0z79eE0VGGP+qv/TNktAoukBX1E0bzhth6iphTLIyvinj8rvNFJebSYiw7HHEXasMU3NtR6flhfWi8niscy2YN35tT7xWKU5hqdx43eb1fHjpZECd9o4/x3fGcNbC0NuggVNxwP5LRZ8blIfOOWL8n1L1U1U5uH8j3aBGMSsMc88zz+TsyWM+b0AlmxNxIBzF4Q8xhN69ZuIKukjcffP4A476i4gHHdQ84MfFeFbyNUhoklVYBCRc3TTJljClPGEyl0zch7pQZU6ZUYyDxB4JZWbvhfsR4a4JxyQeah0BsIue6ZKUnr1LFNqKJjrl9588hMxEHMfQmqS7usNPPecv4y3J5PAh93HnqC7JnBLBESlhoD8QLF3hI16in10HvND8vXRr3DW82e9nLs/LkWNRjbyDkPMHSyp0/W5q233HgiOZDyh/8T6YXePTb+d3kO3HvKy9cOYzkDcs46Awsvx8svEgNv+0mYRm/muqc8f4sG1uScREwVZhbmp10HpusCxyMvNTleY9ogWfRUxhOb+9ccZhgrZtIpNM5zS4bR/QdKPzZN01sbB3vfu/rEkK7oT3eZE/wUp7QM2H4EWA5gS4Fr+n52i7rpVf8PsM683YRaACip+B9yPKpy+uvad6AjOl63/LH9GTyMeA5og091ETerlfRlp5ZkKwLyqka8nCuNlY6cBEPZz9a7+gHsKR8xJOTTU28r5tPi1y4amZWmQ7CRHdOLGG6GYbE2zA3bNI8THlc3ZBlzFHHwehgeuXNA0ahp2DwnRMX9/4yDBc0oPD5jeX6h6in04WVFqN3iWRODIs9mJ71Mu1writ0No12o7wXvY3NqdiQLTBHuWIjTry4koG93PTUec1FfUUHxHzn9Wqt3A73DvulAk/tbNp03XVbhoSk3uiqFGDYn/Z78ah0O4ZBsgPBtU8LzNFvnfm7zWzeFCav1tbGp3qnt+zso2/GJpucDjWnOVPmELfRLY4v9iL2MnMta2CYR+z5gvAqh9msWvETPEyMD5R3MueN1D7VxlUSD+L59XADyasIgMbfmxbMNX+f6wAyYTCdaY7XZJadTskdbQ9JxPrBxXy83NXAnAubfqR8mzpY11Vru6Vtr9L6osA4LK0Yh6wbe4F5tncneCzJwEebN4FntuUJdj7kJwuf2VXcvLM6F3bGcg/5O0eMauEpOA64G6/clqe7HsGwdMnnCyb9JvuRy9P4chRKoIyFs9tqa6IZtw6uBl5e+/H1mhwZs+Qva72L2Njh42r+F17Dz1lv40g/z9S/0HGHU/Qwd/Pgqm9BUg5vjf7TzIW6DxT6MtNFgT3xpNBt1kk19RSK9FT6UPcIlvGr/K9pqrPNWUfOmde8u/lW94tq2TqHv97p40bslzn5ZJShbIWQIGIbE7tyQ89ASqMpfmxApbrOsZCEm+I8SKER5AVlFAHLcHpIW1eu6L3DMAFa+1oNYVGMk52nnWjkU/RF+RDftK2KiRADif4OqTs8V+z0WwmDXO/wasOzMpyY48G4CIZYh0gmA0knOljw08Ky3BFKt9OBAq13qQvPYNoHCVQ0i2aKdK+vw52EKuPRk3vDnTNEX2zGHqM1tXoEU5CfmDABGJssxaMq45vuvGSGHicvR0FRpJC7EAAvOg1CRdpck/fHtWLJ3pxs3DJ9nRibeAeg79zdVrKQSsJW0u8rxTOFpGRrpQo+D2d1YhjeyWsSc+P0vcSCSHtvbBWyRaiHYZf6b1+OiScAwDuFHGd4MOMU4NWqYw8YxfB0Du21tMv9DGOqECIbTl5p1zebC3FS9KZj4/JVImQPbggj5VTBzUNKKVLznfEzN2ds/ryMeaGHhKF8vkNsoKjR1/Be0+jH9Lo1PLmnqc+NO+Gdx1IUgmOMs+PFjGbnEeq44E+gXQRYlGjaWF0WBpkvqsxDElanhwgdBv/4PsKhMkuuCEWEBPcwcGFIHZh3PDvs1Uvd+1jnK4WhSkqt5HKLh2tTvZwCebUxowVW59HJc989fgFa6KQQKv79HHVFuNL7lC1hLBgdJ6MNJD8Nz3IXHJ9St1wegeAheZ6mV51iFIo7xgI5b93YdXjPalxSnpPCsh6GS17s5HBvaQGY8OHwxRyvcpfHEbPPwnIOlLeOe8enFciH0xDzHgaPAHORrMhoh4NlkG/mne9s/E/JG5Usiwk/bdhKphXHD7z8pO24OVlcbuf+JyNN6ruZvztIwcZt8CBfgDTcVRwED1TiqQCSbkmHY8YBwtlIZ+hNunSAmDkhpXVxYc0DBQ6SDWkMrH6BoLtmBAFzU2/AIMFP3MNaX2qe2YU4jCj1OfEi5X4Tfy9zo/ZzXfwpcBNN+OHBOTELPgVgL7WwO0x+hacsjXG0+TG9OfmYt/7tS7gyQd0I5UXZ8aXM1S4p0Vb3WgTHffLNBKcibJGrDdAaovhSl6a+hM7JvCZkBTGOSvdKcrHwwNmv3EdRzZuxwbv3855hHbJs6sZVB3i4yOT6B/EBh7MeYsyNG8/rDoyUfKyzR/32jvkLLyor//EmbDnsFN3wPld9KcHCPEpzvo3sHgDkaBex8Xkb4bF5UAPtL7ryv4Az80qvcx9fopSJRYQO3tqe1VuuK4Bi6A1K/WFYdyvi/iyFXN3k8/d2sHBWL7FuMXm64cGvzKmGhcKiWT1iLMib1hva9Xp5UxWCfDCU2yd4PCoTe6lOWqllsYzJ8rxLPGcw2grdkeoJUuYyXM0xcBrzxg6rBh0yr2CegTFOaQNf5ssI6+hdrnjejRO3y3jRkge4npuPEssM+h26oWKRbQohT+sK86RJmYtnVClXRPRS+xA8u4NZyif3g541adn88P75egGPsa64nbaHRhjqiDzF9VpbPOaJFV3RdAA74WhtLpnTSXRFc4f2JLdrfbXt+q7SfdHTud7az7DfL+DatR/1XNA520RtXrKLqh17xSanLMswXur7XT6QjHZ28gQNRL927HYHw6NUZO6cUqu8rHBm3ayvvtop1WarMCS7/WqsnXcLQsfkch51ZRkf1sUtH4gmoVivtOHyBkta32CZUPJsVYKLsWL6dJT1fGWtZMG3P5NhW+e9oCsgCNam3S/C1TYfN2K/jIkVM2AqF56KTN/e9dOexHvcfN5QfK5MLd+VSXdCPcnQRwFMJcO9T904rXldD7wSmI0A1eY9e5ZVD+IxJkp9AlR9w9CMO+hUCKsSoUBeFCubsfZa7uPukNOEzfFK/VT0AiCEdbkIvhOC4t0RpI30Dk9e5ByhDOei/txASN68xQhY9llIwVo8aamPYQTxuKR8plxWenCY2JimDd1VkbIHZuAsho9rqS5YPXn+usGDklfor3qtcRlQ/ppc6Phm340maxf2oWjVomaAhdREqzQ7ftKY7DY5U3v28sxe7Ax7eB6G0SblIADmWDA+WWtWPlSyapEaKz3InUj4sGe+Me/8xT6X0L0dH0kKnoRSMw1ihNLI92Al5Rq5noqnOKGrk5Yj5DbDQYsFFTfpzgTugtNT+R2KPOOpJqahpQIEncehituEty7aVRzEfPZwyMcM4iKKscji4bCZ9zvNJmti9iFtrjLcZT5IRUytqxmvqUjPst2aV2yiAYhA/jxOPLZcZeXzS4acwluwy79LW9mNseBX6TYa2/ymabyUC1zbT/6kMQsln/CsXL7rx67PTf9SeN+ujh2PfhKvafGci7cyaPyJyf5c0fybXrjUBsFUN07SnGPSVoSe0Bk+aQm5oYsabqjyjEfrqqkclwlaz3XvymaY8vdWn+k29pqx2BnwA0QZm7H+vnrA1YOHOvDVbm7seOwmLXCJrPihsR9/K0+52ljKeS/wRXxpd1AxP8j11rCRVzrtx3SdnKckdL1lE7tEXhrfM//t6KymurC6bJxGezAeNOfqlp8/kmW6IWWdcjbJIS0NUv/EYSU69PvKnhG/VXfkOR8h6TYyYX2W+Uh75Qvj23Sn1R4EhdvF2Gw9NXQRUkMS7FzHTkYnxHeylHgF260LrVrlrDuXV30KAqI6GgS3G0CsH9ILvWEcmKn2AjXZfWd6ct1d245S/hirCwIXYPF+7ZLSAccrfaXy1jQPdMVRha8TCWaHpnnW6T8JX6wkIo3h2gDVJ5SHbJ80SRPT2gwg5Rejm+ZMSg/77v1Fc0t20j9j3OpmHnUjbEg7vBCHVRknjCPGaUf/DKvblw17ys/mmC36bW3Pv7cblPbhB+WkoO1Juf9QJhX+1JVJG6IPd7o26VlRq7W9NssaNp6nn/F54QKPmqWDslrGLopvntc16EfieEkFdiDziGdthVSlYl2bRfO70uOVjOLvRT/hehbbvrYVQGLltT5uLgfdm7Mp/qZE/aobqjvZWfXtvEm4AahpAyCaYJ2j6A5P6fZRfg7S5YbaVi/AlkiX9U163tJCqa/K/8QC+V0cXqdMHe01fbjcCC1tbA/NBbz7CbboRcQDQh1QTKFYcLIb81E3/0DMqTp3eDO4whoHGxvnwr5DaGno65U+bsR+SZPfx3S+SJoAU3CZp9OpSyjKxIjVhVWVtheJJokUg3zJWsPchVeYYmG4XodSve7dVELo6M1O95M3ghuww9NEzUvKwwaOTMerhVgxD6pHDFoNPmY2opq8R/wzwh+caBecRmjEEs7W6+V2/VkJjejJx9OvrTwVOFShd8TdngD1zxlOdzJWJbUxaEMi/GH0v4R1TAujRYE+XgF1D9131hfzRjosv+rwKJQDUPNY0Rfqq/UtbbSyB6rToHsqEm7cUzDVpYBAlg3Uw7wD2aNuCX9J3wOGek9NeBUJ0azhMDzzxMY1WxPhhQuEF6+QJquiWO6cJbzHphv39zTk3WScJg5PT6whgGNzccAuN4mFgcAlz1VHiDWZvdwGjlMY10AgpVcrxOPxUncNGL5j5DWj0k8va2ycywwBLVROEBtEONwjGVA/1Z3ux524k7vE/aPni+KAAD8w6Ph4tTsTif7PFx9b411JyZWkuHThhiN8dyeRC+7TPauAefgZot176DbxKirhbTwUGp3jGG3M07CdMljZpNOs3ufS1HYDzmHWdbNX7oLjDpzvFPoVBe7A8anMypg3HdOLU94bOesY8lNgC2MIWj5ejQd9xWjm1XjqC6Y3mY//PcPG99nyvOK5y/M23t39RLHOMfc8vplv/EgBu3MKcUAl8IVZJmNf59WQ/pjqwGk8zvtncyOFa5fSjxoK0XWCIj9mfTQmha5rEp0erQxzNeaU+s15BCBv6Qxjbsg+fPypjZS3yrrJZrNh6flOhCwEXS3gdS2yhzfearhdvqaB++l9JVwvm7A0J/3Qx+29Rj9UTL/QtR6VOcZp8dPyJq9swlHQIwBfbGZjWRTmZUF6T+UrQN5kMTxw3q3XGsPD7Rpfr4sste1pPLquyP3lyT7la7dIwbCkdd2G3wWeHT/mweyHbA7Mw3Jpc0lJbkRbc5F/HGyTGJtEg503NcMmdGct908zPrr7aF0nisfVuJVBGy7Toj7QJ49/3SRq5nE11CftGg3aHBuh/CftPWW7fEwIz1IAvEE/57bGu1QsDbvAQ/szDQdtdvOQ6ylzeuZtBjHqlIBtu+H2llT5zeaZKHBKZydRGWDojcibhK1K1NH8ZqFMKx4VCw+PvD7HyxxL/LV4wKZDRkUuyuF8n2UaiPdmvu0b0Qyrl1n4ZocYxoup6jVUc/RPCh68W2Wto60/6Ennb3vvm2yewpb38jrLqkWzcb6ttQ+OHrbPCszts063qbZbvONOUd86WE4g6eB876cAMXob+op00GByqocYu2SKD+M54UcxZATZ+dH/ri5Orki57SM67EQ171d/DyCUaK42BPGsr95cAMHYjG3HYT7TUmb23fUgzXyQ2ozNVp+n3jevt+FBPC8gMNoc9pK+FJlK/Cm8phk/O+ZaBEVErvCyPCc3dCCnHfT2NZ1Z3Wie7UTjT2pjmZR60l+Wtglcti0YruClFIlHiw7INOchm6GAHMVbeMFT3/f19w7P1h5HSvD1ljq3MwueNlPQuqZhqzwzeLl99037k9e1PP+juY2Ca5n11v51v+s4SR3Xi3p2m2YJLsqb2qC6Otkc+OHHzdCxDRdkStOJde4dfGlNHki2WUSGKVGurlK1IYeOMGWWP3eYd5ui87A8Mi1Q/tl3sWearhxQoXuvH8l/fySZ/3U6j7c/nAmUyq6NdHa2yxymv3YdAbksp7SukUVBwm/8xmyPI60skR+t72mdBBnf0f8SZSXZhds5JxkerG2lYgU+n+NDl+wJMumCXh5Y6Je9gQWgEOFz8Ov1VZm3SfCLqn8GHLU/X4BNWGB/A+DH9CVNW+Z8pTc0il1XZ11oXYzmTfkIefyI6K8ESzCcJ6TPgyz1XrVqy/j3aVA33gQf2v4T4D9Vhhhx9MMXgktIyMogd8KkTRulv4OPaS/aaIRe/WzThcCrQqiDt9YVwtwV2jPDywpSLBaQIHtq4YcFLSuV3CcA6Y4RBdIdOtwvobw7pb573rWrmMZWTUVZu0wBk8YcSYsrXd8f4Y7qCyvCNVEaM/5r2UDXZhrjpnOMx7JJzxtMWhYCphJlv1O4VIm+sHLgefKdV5KeV3zuFvwHDAplovV+PKKX3V/byOZ58y7Ny8YrvUt1DrYw75rfzC825EEe7kvewp+8zmpMXs1lhlWFwoxWw7kmHl/fiD8InER7mW6We7Qwf/eL3p0GuvZ9AbHjszyvHs5rLIpzNZ4fJa34p36LrvkeGePP5Kvp6UX/xDvKfKzPHrT3aC1s/Lh49yg149ffVdZ8382lq+Ya3W/qARp/oGc5c/ncNvQIjuZ3CQf1TNqO0Rt0q2XR42F+LfPHK9iXSbr9hnbeRDdPpLxwwQDTu8+hzUE/uf6P6UHa0Nqc20wYjwmzpd1HethbU9JPP99B5nDpW/7Xic9Ky6zvXbZH36/C+jb5l2dX+gXDVcrFolk9gAPK33Vj1zWWb88Mz4X8Zdt8yoLyfQOT8u8rGb/VBecm5aI3dfqS5UmbYLQZttNbXFds75q8SrwJtc2Dx3k275cQqBW+Bfc2IG+Qebl887vRE5ffHZ5r2urdDyYN25rbPBfvHuR/RtZu7RpP1T48Zrj+pN+m706nF3pVA9tCp9VOr2Uf1te0fZEWvaWU7d7Xdb3KPxaefgXHjh63AD+ZDyjKGTLdXdhnjHZeK/KXaQ2hS1e2lJc7EJtTzN/qgb6u3sVmu5JhHVwXMHf0c71GclFnZHrAFhRpvXBnB3W20uX6BpDwJGX8t7LO8l2O8S7tbJYK6674Zr4tMC7lPie97QLnVf9iu/Jq3yDhsc65R/ryRZ0OU/pMlRC8ZSxjPf8JL99Ja29gPhfDsaOrdp/okQ5K+S5fP2uD72TpRbnLNbgvSProEftlTCQQu1MIvkCx0JkiGy5FWKYTEfcxsWOC0OnXaLM0ME/sK+S1vDcvSL/PLpX36qjeYFAc8jNee+gm8z7yU70GI3sSdEJDgXEHEaXzRcZ9jQLIgeFRZSd6ogpxY4/CpbHgxA4vDADnRxaoMuvzTZp0wTh5n0RdLODcKwEa97Acr8hhbhU43mdYusV2Ph01YZeWeXl599ThkzjDK03HCTuv8w7zhEXQcqeQ+KlO6PS6k9fU9KIYqAB4GYMsr/nmHadrL6AA9J3fH2dtvuj0YLXnflcslHC54eKzrM7xTMebrM8w2rpTPedoCwCd6rX87gnqd72WuRz13jSFex0wy2xLsHpEhoDVZa6Fh64ZqO6RrO90HM72+gL5mB7DvgkW7Wi+w8f6KbeRV80DNYxh7ytG+0GOhlcV5BPiDEdjCHgo24kvnZ6D7mH7OouIAieGh/0p4/5lp5NDxinr466TfhW4e/gMnXetLEaM3Ql7uhes3e0cY+inmA/F+YnR5IHwcnZP2O5+Yn1n43VKMaAnLuIde2oSMbnh3t277Hiddyn67zHfoimjxbg/pIbaJmNiwDC8XAHDF9RCCxMf0skPY4OPDgeJ0Yx77wsweM37SQ/hXeHeAeQREl6+dX6QN4Ji4sW935NnrM89NQgqDQoyfylj44ptnLi3zvu8T9OeZY/j0r2l/R3J3TYZvYnzNi+r1A/DWxij7vHPOD3J089wcb5gevooj2OWLc5/u3uIvR7urzBsVJdP+5hD5eTw4vlLsESeIz8P+QRAXhWhZ9DwBB6AKSONpqohznf0RjvdoaASlcG/Hzwm3D8ap/DGJHnlngVMOw67P+drFHjeHxy9xJOXY2PR+pv4NAa+Ii/pM8yewmO00We7ax8G75948rGKcXDcEarzGGf+Ne+czWUjT5eCRkwvq/OM66IxcboIPsWe0mVzht+BwK7es/kuXuoT3anKOAgQQx5LVLbkcbrxcSPGLUEbJO9uApw6okYQbNWQjzqjswVGHf0MnLqMpvl3cKSWj+k6FW/SdcF/R+hI5bbVF9Uqvp+TDtqF9Ul6We4AiT6Yn3a8tYc502APOJLnJc9Td4ljmzJtdlS+7f0R2NzT9N5puuWnsZky+bDC8SdLfud1u54tfdYxX1TNrHZ3P7E7x1kfcT7lv9G3FVdyyMRbZMaU1d0hKD6kJWqo9mgFatGSXMYxDO7t0bkRRDs+7gtSSGZr/I7K/fuhqQ9gO811RTgM1JbL3LSYgjleNcpKgm3mi98Ml2L1iOUOBn05nVbakzRGvHaytNnB5naZp0WJ2/SLi5xSbDAkHAXMHtHJs3oZivYScC04sb+7jCtouK306YLSipHiEGraQj+Ul6Mxxe4fFVK0kaxC54bToc937fHX8Ms4xOsHOF8AtjVBhzsDLvYyVsyoPb5mQAytHgBXcBQFhsUi9Lg+4DTc0VHC/2QwWdfKdzdX3c95CNsKyxw/Ma+s8Wxlrsf897Fw3iP5HeNr+c3J5l09ZL8yzPqbaMXL+2/y0A0bpfyFxzDxSlT5Usaj2kUVFNyA04QP205D7yIENlEBB13N78FmPUuRD237V7DRd6lt1XGhcYipXnnAeVHOy1I0qYWHNP0Ke8NhlZKH2qk2Crc76xs/zhvRKfe9SbW+6MNtRf0yJrVsR8eue1AZxu2YblNBCX2t4OaRTjltReJdXgGw2BaDFKbHbyeiOMX4VFpR78MDGEkvcXgXGqt5GXZBopGwi09NsCRdBMCiqxM/uEp6kAxXoF45VOGsNltnU+/a3OKNx0WwtM/rGa1+jXUsF7vC8YF55UhXToB1nL4O6aNH7Jcw8QThRcScCWkCL0lk/qEh0MYof2qx4ypPCD9X9vZZh9FO3DW9nHUAeVKnhaqrVJWa1HbDoLkPpCB+bhc9M/OW8puakLKYkgTUTlkrjHw5IbTkfyQdgYXp8WfAuoEL9KxLG01h1CF5AjTwVMG2+3N7YOmbG/kxFo5jARu6bWKDrLlHNvJs3qVNhugbaS9VcFfY0b8bGzkEf4f7K5rnTzLgYhPKNrCGcbfpd+rkqE8EYxO0IwaDlcMCxWKACrbejl3yMi0s/EdFjjFOepQ7qXhz1XjB6ulqG61H/SPjuX7y5tah6bmDuiyGoIxnh3vJ79LGYcUFfxYULfisHhXdPMPF+wIfb/wxHEn5Y427YwWTtCbPo/kUeXlRqsLyrGJmOBDS1h3GK4OTaWiM/zj8EXc5HRhzzEOL+eaw05eDTTTZKqK1zUXGX/Sr8m1vo+HfO2OyHrB5mFgkSfm7MDpH4+Wzq97nZqGZHf9YdSIkXCz1UPtsuOzExZaPt5n7dtK7jh7K3EgG3ZUMjjJK3xte8EQdy2IEl+n4d3nmumBdyN/R89Uijv+uGwNL3U29ta6OJ44wuYqHepS9T17AT3jI1ToGTGLwkF5X+V0tR2My+/8sMa6JN5eu5kUCQy7eN6j7PO7O/ZjemD4v+ybVuX/15jnweSZd+R1/tkUaWq+LVpzaTdh4eQWbzr/PmojfxEGKRl/b9vsBH+6edYvQSxGSDdUzNsketgcepF0fki7pqdVzpccPbaAs/RJslGbO84Tg7ODYvt8Vexu9hL21ayP9yfr8qtwC20ZOPCELUv70WQRfp99zvg1Al6K7VQwrXE8wD4cn+MWst659LTqKfz/yZ2cTeT0pglLFs73f6uu7ZwWfjzYh2vRI7WActrgudahss2a7Zp3/c45LeV7m36IDP6E7Xck9WluSN/C3UdiyVlupG8vd+DhO+P1SVjNtXdFJM0Vae7uW+6yJh41gfYoNfhVUnWc3nh9XhNk3nc+8j+36zI7+u3SRt9pL27K7957tUr+5eEd5OnxeynjPuxO3nxfdeVPP1ld5+VLRWxrtvy9XDr01PfJSTe2WRja2dFvNg3xflPDBX8300SP2S5qWEy/qQrgqF7pnVLaZuWz8RFkg/NBMRxt3rmYlJYxLwcIU+K5Xtj2YScapZfJo3S5isWA9fYMkKy7LfbKPmIIMHByLt6WYF2ojAFzhMYD8lC7fjzVO2pkHV6NYjy/jvEZcWRIKti08akVqA6ODdCK8yqoxLcA4waZoGVt3cjwpXIKAMd4ZaMJ1nOQZYXlEEff8xV2YtLk0PDU1vHf8TpPRpwxr2Fm35q5d67ekE8kZH/FpYUChw8su7j7g/K5g+0YIK5Kd91aMF+VjwuM7UH28X2hsD4RHo9Idn2PTceJC352j+Ptj9NXugGWPVn3HA2/13fKzSHXxq8Fra9B7nooLlXlaMvJqrpPvY7kL9H6MU+eHQt4NZqGf3qB3RN/nvZZ08pS9b90d9aYTxwyXM6BkZA3a03JfEkSBY+JdjHbDOSFOJwrR3Jz/9aSmb7jGOwD3T5ANaczv4aHgY8p871XmOxljI5CWdt2jOWjzpoMOXw/g/Zwj7iE77u+hsgCUvF2DLk9B3KfsYxl3gU464xO73WYDL7RNT75mzjM/E0xvYBrHOCnq5Xg8gYjGwN4UAbN7KtA8i7LsjgFMHkc8HGZAqwBCG6gsW6OM0Nh6vdZvP50dtOL9vAvUvQnJW0AZHm/nNH57rvhUopG4e5V4IoARdSBkqfeZZCCoD9yNI/cveeV7mwUH7SYXzZv9AiMmb8Mc26B9orPFc1TLb8/DbRIsMzrHOD0a0Ui4X3w6nPhB0F5zh6rf2X7SvTu1/bTx5+XNOzm8ATfHKVVGG0L4cHZSZWfMURDuBDhDJ7P5WTxW9TbuT2w3GIgeRx2mS9E79lIOfBbZ016tYHU4PTEOvc3wxCv6IK/V8sKV0yzPkVmInhdvDN8kZnoKz95Ca04HrhPGwboyV9I9SwRDyAqlqCw1Rb8mPwmvNOurMJ6C7jTwUqoLmnRv1DlXJY+X91EJ74X/VT6S+l3lpkjcMZ3GnfErGLL6Y3qY3LOT5wSP/Xjg46b5s3mX+BONDz9L3tooeYje+X6rtKCb5pCmtraLkAEA9ZsXlhpv0SkzBlGp0ZWbYCP6iUxdBjSnrC21qr0fu4XgJJ8K/1y8FHx++rxzT1an/dpfe15tOpYtrgcdgHlp5nk99IyeZwcOU4ey2GRYwiQiOaych/t552c67zElXUUEkFNwQtOhyKiD4WPcHZLkcoK16htKB/UoWkCGl/Tw+q4Zl6FjV0LQjMyie8SzENr0W0remBM63ykQPiHikcSoWZcp4nKIFA/GB8r3+C0zrzR5FfBoPRM2y7hc96ILfjPTsGenPbNoWWAbJ8ohR2SKKDc6r5ruNuK8HJyulFge498niv3xmoNXd7PgMTXKCvGu8waLwFbq9fb50yK2jTUUi+D2Qs9iLEGHhyu9YdoUjcjcemwrps1EdYozB51tDY+0XMfUFwo8TGOnkQaR4JqfZMl92KjeH/GIWk7nE0jjx84IqIsua8gz0nnQSbCk+eL97g4N8XxscBhzoc6VLsoZ82Kdz9TXN9iemN0aiWjOPyvPnWts1PYyx3ME0XJ9jgABAABJREFUAecPMb48xoyPJspPTWHrkvwMWDv8UWrtNIZLKR/hZtEVuNy2MUzZSLgL+il9DNvX5Uyhk2Tnejktz5JIyLTM4jHp8pVfc3sk71I0yCTzaA7o2t9aRuiv5qnLrxPGzCMe3enK79qbmcs4g+pMMHA+Bqz2DevznQ6XEo9lW1nJ6zi0+hNNnCGq5tiFDqAJFsZrsiEdF9VrvcDcecNyv7sD8FlPmjBFVyu+LvCW1sMs77JuZHByvTuxkNqtNIuJ76DrPWhf0/RxI/bLngrRBZEF4ZlzdmIEk0IjXNwdi0GTPqMACU7XJ3xBXsyAZKZLTPvhaV6fkGcJv7tMOlMG7grceIJyKOXCZAQ9w20YADNFZUkHFjqG2bL5mqqmTZkIO6NYN8sXHJD3BwCURbnt+hsz3sTE9kI66q1KIMET1ZX3i3A0IRgG70FgnAq/azcMi6RoSjDJ84XwyosyBBMroBMgwwFtpKRusYIRfXdFR7OCrIhQvt2ckFNsfHR9H78L4B4myMMjs7VigLWGkGIq/hySy8sL8kaxIIfp9fq6XQ+vOzWnqyJfE2m4bSisJT83IAnW4BlOBy93iAD3u675vToP6+EbgwrDDzGMqvzskk2QeSf8oNWsbBjKDiNJe83GmyjCGFEKy+q8NTb7vUt2KIHhS0Y0L1wxjRl4OMsCh1fAfSelDABwKI53J85TIDYR58KNfZ5j0y9oXzCN3Fgop/G/w0Jh6aoQxRhveJBSdb745QcyfL50C1VcJwqvcBRUnnbKlFOOqmXxB1jmLSifzn6EUqf0B0weV+kI8/2os28zLVrQAQs/sDMWajHpoxoo793IwTy8UHjl3BiasJwEz3GfHt3c5wR3wJ7hZh2kXSQn/u1zaDG8BctCR2tEO3urBz+sbwnXDE+lxQ2/UwHtw8sCOzDCBctpukfMl8yD4qAGsuwatCLEw4if1f4UPPmC0XbRwts4C2rLlIomDppPqmMTlse0GU8+MJY2TJlXe59Kfxj2vDGR26liqxqhDnvUE7SP7Sb1rNzrldh0iLqZ7dg4cfjApIN0fK/8FoLL21bIXBip8uqR/Crt5o2mTKeH82gSD5MHlEFNm0AuXzZwEM8QO5BS+YFEgw39ML7pGXdfy9w8Xme44giNWufLx/RhiQ8VYB2XNf8b63/jOKlfA6PA5+INetkYJuGV+b/oYEDQc9CpNOiIXZ/PB76QHw1cuwVFLxtl7CcfHhbbZI6NkDPzhejbk11xGgpaeoJOFt2P9Q7X7Yivi07UbsGiQbtcSC1llk2EOvjOO11+8zvmy5WHt8+Jb1ZBvfTDX0m2PbmNKznC1UlDFGg+l4L1GX2W1+ne2ZAhhKddO7X+hLuOQbHQ0Bw2+KqBnexQm7cx4TaE5ngUbo/eVf2DZKNYHi3gBzkUPcPtinQnLB0i49+dXpLg6lL3nNCr0CWfwq7KKfTcXIx2mYKPOX4WvFX6n7xhO8SVzmq+jt5VMixbZbmUY1wznVd7nPMHjEQ71GbVg2e/EDiuZr8Y31xUxw5HtVvP8mkO4QykKRgkUubVTu/rZWbO4+Uv5RvVWzdjuc6RqW/vYXpGznL2iyvy3jQH38Anq8iosLK+UnHSjVmqQ/Z5A77SXqLhVDcDCtOlmjC53u6m76mMlnov8LYbw26NIRe8Lv9mffgtidf/Ky67sWjrsI+HdrG08uORDvXs3NiV7ejqs9S5NoKv7hh9YPq4EfslTYuBo8gC6ML480VC3lTEjRYSjaH5vTn1dH4+tcpAAWLGgb4AqhL3RI0JIBmuHYiCueiFta0QcJsJVcO0zAs/VgaU4rRzWzqVhPB8Pf0F6Xj1RFRl/lRvv1Amsx7xNk0RA7XDJ4diI9PHBS0uI7zTgp/8JMadyri3zUmbR7ny2acUzx6Dvnxx9gDiADdUcbyOzYT7J0gLg7VqFvYKpPub0gJoKRhGzTnrScbEUVB1Ip+QPXUaj6F4Gd2XU+qRZ6csx+aoTVbf2PX6bwSca/71ZG1S4A2++4RP6d6XuMeVN3Nr+QTjINjYxOVUldiqyLrRoBM/ezrRNRQz37nkE808e6E+HphzKgxPGwvfNQovWYy7gYM2qD3/PGXcvcljQu+S0XTKwPOdPD+pT3VxODYx7Pf5Qu0W4e/0e75DeEQnJcTJREtbziNuiMnmBwIAzM1TYL2HFFZGgfP9kekk3XdFOPOyB3B+ciIOA7jXqMPnm8mayZsXQqT2xcG56ThpbmOhTsdNis1Nb6tTqpiXg/IbThbjLpiGPWOP5rhvWSa9E264n2nDUxF3UbOhPOWSBk2rGL9pQruMcpTXABiyEdHe+YnRwivdeWv3ts5FgsE45Y50WjeFvqb722NIXgs7qqeYvf+MQ2MnaZHA+8P3ezkeUdJGniWjzllg56lrh1W6zaO6kRmbmdZmeAm712ts7E26O4x3aZFfohqeO9F3PxAm60LweZNZjvqVIpSU/nufY/ycN3Z401x2t7nZLUywcXu5YEMsNPSRZWOP3gdjIzhqdvLeddi5HoY54cTzGF4eRTSKtl1J4eoLfQmMv1Y4HJbah/JMiofs8r2m6B/RCL++wQ7icKOF93F+3oRlT1wtsMrkM351SSwnaTMm3IYtyC4HGpu++QJKZHG+qcj3dpEOw/CjO7D2YLw/poE79Tm42SR8esOqbaApz/rAA9geXYuyyKdOVmzoYFnoK/L8YR2KOFDqeapMUsDsK528kfDcHuBtx2CzKInZ51gkLfKNI0u19UJiWsXd4eJtzjaqbXu4bOT6Oq9f776rpgXOxBeU/opu5ge8o6zOMmlB2UkZaz1eWTqU1SUheKmdYIUnZbRMmffquH+PiD9sFIddMU+7dZMsDu9R+16e85/lLkogrshow8saT5fD6FAxO1v/imx/ahW0k88+1m5bet8Ogb5ohtW7diDbzLXusnEsfgj1fqTnk6acKGToZUSX234EzjOjacMRu44hZMMcxloh4bnoB25DfThh99cioloseqyjQDB1SJPh+mLrMsdcn3HbYtidOtbfbprs1FgfqNGEGM9afnd5uufFHnBEZxuAdCBaP0j6nj2eWWejrVxSzPWQBCc3PPWX6dVb6rB1F+etgvls5iN5WWUHz7nQWzJcHH542t+TKc4NYOffVB/mGEe66eR5/ll0JTkBpX6l5L9veMwfow+z7NJFlsfeNZlfF5wdmDaqPU9re6X/y2ZsJ7MpT8DHbENz/m7jtuKB+fxuYzFkR6pbUr7F87fC/ijt+PRVkYbf8TTkesMG1tQ1ossGfxX2DteKvV5X9Ymi97gN3t35OnWM2iHqF+bYMF1c2ig7UA1P3brGVblotNKxrHgVbX4jl03z7EG7nR4ZUXE6G18xo8A0qZsvEcJ4Gcxm7pfxi2rE6ql6zRUMV0my7ODnrD9/UdLHjdgvcUpGkxOmheuN8Ge8WEiKYEzQEJYSCh1vPLjHgy9aiyp5eEnU58pMKIQ3mb8V8BDJKoAcFGYx+pKZLwQWclHjfV2w3OLlmH1xY3X+rUpbYorIjEapnsNw+JkWKrgtOn0eYaIt9GEY8SzEXFH1MeFx9PfeDIe8Y0XnIPy60PWFePLslbsCIhDfuCwCRwlO2OJCKNZe701xGjcWg1ffA3qOTahzdypHEQqaHwZwA41PmLULAJzCU9uqpU0Hb4c9aBTIhjKfLq3w2cAtm7NiAunQGTLJvbVOA9KN0psOY1JleFI6oi3Ecxf2BCoRfnqEG/Z+TBoII9f7oYU+FORZq3ODOPo26kvGfnjYWt9ZEfA83Sqt4/FWQkIVBRmiEDciGV6v0j1fb04HBud9DJC+O8dGLKfqFXyXvNHt9fk7glvuArwKjtdMI1GdEM00tHi+gO7NHeVjA0dGxvPd5Jcxnyksh7HAwZPvNBdo850/PTyx3nTiwutj79JX0pCCzgl3B8g90t69A1QV8v+O6R3rfblpMsDqdEmKPS0MTCMpOlA2vJ33W512by5O0GGEGTov8OW04jzOZOH5boSxkrtE+RoGJeSehbwSX8TR2aa+M+95pvMSWkpeS/hiXxQhvhKhnzebsJF00JHQamOEi5YBjzNyOZkvT7niNHd8KjhcfjN/UwvNT3N68ea257EAzMPEXSAaYMPa78OFyvQgp/ajrpqIN6V2Db4oJ5O/O8yiMw/LgegfH4ByOWxyxiMSLqFxXxVhaBe5eJBnbmcAJx3E54LPbZI1y6Icy2jiRYn3VHlX2l8MGK+n8PE6ts7jOuPP5X6EwS1ezGlBIup3vUfjOogI93xioSempXaTh/B+WiQCKPLi6RXNXtGcvRcd4Yb1kNEG0aRAp65KPKfbcK7wLye4dT5n+koLkiYHzhdJeVPIbGcJRWYth/fqAodiXaz08fL7JIGFjniOBs+5FQKkPo8oCjq9wb3/CVe2BRxzmzIQLXHZj+kiLfxK87vm+XbR42oTt5uj/lloZcnTwo127nAdMQeaRafUZpSzK2Eumm1h8/nubR+lDucz7snrxeTDSLRbSE3vqH6A+HAzDvNgLm3G+lQyuSEOK68BME8p8rLT92qqexkDGKSxg0q2M+2AbLLNQL/rwCnyZiwjicqxHFjkgRCpEP7itzelmMBZ2dBtEkgzlOfIJ0PXCyTz/CNEsm7pAHW7dAl+Aj5wrCmvHnbozw+Uw/FBdNodyi2RZmans3xtEz+PA08lhgvDy7xBaAD4nQByDNtZl0Esjfo4HjK/C3qcetGK6k5u+xgZXAGLy1mXbaaHjoOd0f0Jm8MlWq5+mnKter+eL5hhil88v+W5DRvp9GhLTmvQNbpY4AbrBnjFKY9/saF9nWA9QEs04uOnSGsVM+tEivMlb7ZWuZStOqcXZOboU6E5wCXW77SJCGSdnMes0lzoVg+YIfPkMlcf8tKQK3kepHq7fp4yTgBwHpu7sSEBxDrSImfFnV6YARa4CRU+FsGzKWJJWopyGdJ0uEa3iTYxyTmRGs+pTtboxC+/W3h+lwLvuXynjzCpc9/kvPCMLamdfg1be0aZCDhYDNTxYrgdBvvBbUdziTYaWGsq9J4Olnb5H6WufYexjG+05dKm5N/We5WI9pK9XnkrVy0b3HiVhTYXb+ECJ9tHUabjgVTfohfXaFHOnmke7fROnjsxf946lkQXY6/gQf4y35e1/2dSpRfs+/i1Th83Yr/EqRMu8byk0Nt3jJQZitIkLUJOIdO7LYR+nthViQyvE4fNNmGXe0mVJngAPn8rb/h5Mi8wNqqnUY650BMKcsZdp8dXxhntMq4MFws8haEqaEOaFQMAu5DRA7aL8C6ui5mw6YxbJQVfatmqcBqOedHCF71Y2OTyGifttkLV351z8d9PlPMif2L6psGRnTsVc1vAh2BsjhwzT4yxjnpdZ3U40ifmfIhF26IQj8VHzeW8jc5jyX+fRosCwO8crtze7yqJzTGsf9Fx+n51WhhAvRsotd0pdHPCIJR4pbq6/pGyv4ZdajQzVowT7DrvdWPNTxn40hcgG138zg0OAeRmRu1Z8WSE9aT0juEnL0AW3s7PeI7EwvcNwxjyDS8FTjJqw5ioCo/SM35eDlBEv2SOlfDY1MS4rx30ZAcD9H6Y8dbU56f+PcwvrpXAaKNTVLVkcwN/kUt+gg9b4w3Uvcrbk0Hmm7DsQdd9Oq+hkHgJbp282jcLvA+iGJsMoDFmbweefyGbSPgU3KRk4y3GP5Tg9Q+xuaV8EMrzHRjPCxytLsF/uZmckgwreQqNx53KtX9lTnG7rV5jOGUvXq5ntPUY5i5CBi+016gc7pkQbRS+er5g6Z/XEdElKv/d6A8Jdh7D0o9gKxsZXOvj9UpmvdGelOI8DhyppMLh1RJu2cutRjEZm4e60k+BadeXpYzDcWKZTgzfwnec96CUsbqj/npSmGnCeQTxHgGFay6wp8N1pS9tP72t5vBaiuoiM2Qlrbntk8nDJMui4ifkJNNwGdslD7+LO/suqiZ9WIFyqMTf5etQPqbPIYU9NvGd5uImRFoUv/DmrOOdeIO9jwMdzn+fIcNjpYF9RCUrIzMfH0Rm/WuZOx2Nsz7GvFUa3Mno66PFNv4sIn6fqpzehfmryXim1x97FaQjdXtcXT3pUzJbyIt8xXZ2/uz6VhzMUbi96It1Uw8WwCJ3xdjFgaVyf2vFwQNZWnGfuhi6DPLh3tRZamuDm3VANT+veg2XLRtKCsyra6K6tR4VOtAnWO28DjdV5rx11XU3Dl2KPlL/ql2rGJGNypwXkynqm82tPmRljoLrpLBdwSfrb21EZaeH0Kash5CdNpTVU70ena4xP2MjlujdaT1F3VngtmeVTgzeSwYjiAhBC4IcBp/PoY/aGorPC6bhoiPzWkGA2vFPgqdbu9vDv07owV/Kb8qz2ODxsDRI/Y05lXRMmofEIyK8uF70s+Ko9CH9FrpeicbEr7QZddEA+FeP5nTOIVqi8lAfUveSvlimEc8Ln6qMvo5EN++u9N+Upym71EfDsbNDl++avy9s84L+6oFd7ufuOrtsm08dN2wmr8fngSJNryXxy3Kw5qEtHj9qx/r81UZa1vSRcVLtSdYfd3P/mbTYWFc8IuH7ghV2eMCTvIj5Sveadd3gKfZZHNcYnsv1NyBwGfs0WCMpBVxGT8u6Q6PHzA1hr6cOssa8X7rc6l+Trp+2/WudLG9LG4/w9PVMX4iN2P/+3/87/vbf/tv4x//4H+Nf/st/if/0n/4TXl9f8c3f/M34eT/v5+HX//pfj1/5K39lW/av/JW/gm/91m992MY//If/EL/kl/yS7ft//+//Pf7oH/2j+I7v+A5893d/N374D//h+Dk/5+fgt/yW34Jf/at/9Qf37auWRIBTcdznafhHqa5x+zOAJ9UU9jPUHGKCCgAPG+xhh9Ndh1aWv49305t2CCBFulcNAN8Lu4SpCmYvwRgC9rvaCcEjMwzHSwhxwflufE/eP6DvxJTSgqVtzIXuXrw/6qXjM5TCVPgXjwUag/NFMuzGvZZFT0UYsOctj3sSIPEpcSIuwvXS4mAndFQwTshxPSQYwniIcSs4hMOO4e2DoSCqiIXoURzvB+zni90JaziNVEP16DDGPTzWqcNbN+A9ZrivCKHVMXM3Qo4SSME3Su4ywidHqG7b9BDA75AVyFy4rQqahQfVu4RnXpyUdlzeZSjhxzlPyYYyzBJ91quiwAvGAsOiwNoD94Q8ZXg9Uh1yyti8vgF6s1UXb+vQ6HvcfVtPjvrGk3lDDm9czXh2I5dpUAyvZyGyA2OwToPjICNCCw5ck3P8kJCN0K4ngPcH8O6EvIx69dXcud1DkuvjTfyAeebTE2FAxUlkVfM41AJD7ppv2oZSw95sjFvGKyk1CoyTzmacjvomzHK3Tcl35zzNfCj09Rhekt4nboN4yi6s4+0rdxzHifM8oBbGOXBo46efGOG/HzQmdVypbT70Mu5b1l5OCWzeGagUVnkqVErzNnubBH58IAwmf+Tz0HEjd1/YsxBexOvTWPFGvtON4TItUpKXonvNnp+Y16xvyG+UaABjzsZcsnl47wW6015aQCPDSi1kmZ4aYamYd/tJev8dfeU8vMHLbTstC7Y8PxacCk7nXXQrzF6W6wFIp2DadfheAHmdRZLcE0TYYfeMZXgiPHNpQwUjAoSPcdkEcBl9mtZ8vGKGMlZAb5LecR3hHeF9VoOjek0SLAkvmscplaF74YNESc+o9fD4p0VkH6+ubWfBx8iweAlHyEPEWEXkDvcoR97wqO2HLuLPykGPdm3Rccn4KBvwUa+V9ztZfbOC8Rpw+ZUcouFZvcrdyR9cN06hzW3Mati30A3LHHIPFj4AUsOZ8QaXqHno3kY/Jq+kxgw3vOkUzwPfMjpXDNXOu5v7tUscaYf7W71flWEm/tNZ7qJzvoe3+xs36z6mNfFGwbLGTBuyc2FGE1/pFg5jrjcblcuCVTPWlW62C5+lXlcTomyXFNP+sRD/KafkOZYWpuocrPhieAC7PxSrLeOymnWNHbAC+CY1z+OoyuEv8i/hNcY49yvVQzBuF5llbZ/rD5CL/FrsSz/ki3noKe4Rp0MlU1/wsLoZ9sHrZ+X6CQmC0/EvCaCIUMMda3TwLjGeR163BZQyeB3jnW/KRFhSI46wIVIDRZh5e1KfNWUJNu7T4NXWd7eDnDaIpucGuCYvtmir0i/Ksw9JPJ4Vh/yc4QSmvVhC0g4vWeDUExq7loUHRf1S+iE56pO3H7AaDrvQ0mxf1f6dMB1ilFsC/uj8hOsdZDfVTQ3Aoom9FLywflY2c6f+MwZSVNZrFoL5o0+HQm4nFMfUN3ls3MYP+3x6+O6umql2YtU3g4TlWt+IxGOza7J5zoc2rjZgAoXdhqgfIvbIRVbm0u4z+uCrsB5uRrrs8HUPfsdN+FrV3XgUezF7HnHeO9Q/eZVkz0y+r3FQgN+lcaN3DFM3bmmTh+XUjq846698oHTJbZSlTd3kr4A1Y99tCoWNwbK24xlXSbAeFlGE3sKeo+I8xOSmX2lT534cSnrQZqxDVS/Erg/M+3dykXCU9STLcALLJp3McnGlSbKFsyNSHNyqdW/g4Pmz5G1k2bImwvS9NMTlbJyoUhebbdEOP8BiE7JOKf53Qde1P1Xn48M8yXuXeE58J7qe6wmTHgGYXVsnRuUvEyQWu3UNwutLMGHFYRW5bb8x+zD7JTE30j4N5Onp+tVOX4iN2B/zY34MXl/nqto3fMM34N27d/iu7/oufNd3fRe+/du/Hb/8l/9y/I2/8Tfwjd/4jW0dx3Hgm7/5m7dtfOUrX9m++3t/7+/h1/yaX4Pv+77vAwD8iB/xI/A//sf/wHd8x3fgO77jO/Ct3/qt+It/8S/mMKRfkJROjSeKf66cl50vEERdNxfXStYy/rvFlPJElznhPzBVRZVDmUkBaqtgRWHKVxSDxBQ8JNcFnncLQx6CaZsc5MSsZVvfAjvegE5StKRhjM+k3anuKhCnfTl+sOExGLrMjTjZ18OKgukdsw3IShAJ1lG+du9S8fZ6F68otbthNmWpjkXJLO/VjRcGtADFoYaj7R3ggqmRdk2GkbLBlXCevryf/CwvNopBeeg/D52hxNZG+sZZ6e2yGF4Cp41CPzWUAk+8z79V5pQXx60gGyEs9J3GnFZ8o5S6lbzybaHGQ6GmE81VIa78vWPJdYGHx7rm97wW5us4TtxuCpETKoJTDpzmPqneKR9P31jakQpl5bk0DY2mD4HDWbib0s/yqHSYgBTLyX/I693gvExSMskEtRrOUxnULOdamvROuQY659kyFxlvnTJ6KPSUqRNv2k3wMl48b5EH8eiBKOKUlHp6Joq52db0o5VFlfZJFizwNPmcjhba8Xrtsy7oT5gu9B+vp8L81vSGsg5n1fm2uOPvmvPuDB9up8PHo/scQw+M+T90gEsDSGbd01DvaXOb+H3DPyod1MWcpK9cNVM9/2gOXekVLR0vlV82/RD3La0/mTp8t4vCMbcaD8hn277o5+Wi5Mf0mVO2+4aCc0Uzb6anyrPRy3Ofaxxa2H8vEYcewdG0ueVVrtS5zN3pdPDfkn6Purkdgs/5GMlvl4cfNC8JngRXVeef5S+1Hm+mlZ0PPJxZJfL2H/AvXoRNh0NsvMVCPvsCXYRK3i2OCtHJA/zmjakGMFa5SC17tF7RRqRh/QLN9yWvoI1EUOXfUZ7v6qx11PzY/O7arunC3l7y1fYftcl5FlgbgLYC/aIt3kxJCw00jm5373BQx9z6KHF6g9KRq3WaCt1LMT2sKynR3Pfww6lfHXyP8NbRZJc38hVFyXEXNmcFQi10u84NRyH94pnxZxjKEPsdwW3e2peGn1+2VX5nnitI/MaeiWINPc3vmM7sfeUZnX1SbWWN/qyysfYh1msOIN8PrfOKHNdbxQ85z26m6ki/TX3kqcPJcUFlnmEXtQ/1+3Zfv7MXdlUvOsJkv1W2L+sPUSjDxcPxmezAktKadHrBbV/QQpP/8nmdm41ONdp80B6X7x6/BUcCLCGyd/Vd8JYtjVI7nc24JCvX6pWdToSqK/Kd0A2MPKeeiUzUwUBwMlztXcWbuflQR8TzakDAs0lP1dOMbeBQqB6s+ZyGHq5bfB3SF2Ij9vX1FT//5/98/Ibf8Bvwy37ZL8NP+kk/CQDwH//jf8Qf+kN/CH/xL/5F/P2///fxW3/rb8Vf/at/ta3jJ/yEn4D/+B//45vb/s7v/E782l/7a/F93/d9+AW/4BfgL/2lv4Sf+lN/Kv7v//2/+GN/7I/hD/7BP4i//Jf/Mn76T//p+LZv+7bP0s3PLbmnAWhB30P4pEV+T2REjfsri96pxFCqEuHEfc7zKfV0BPxeOpmGFXurePmA/RgeFUeEbh11uadtgmcCnpVyL3MT6IuffoQZvn5f2TidFndlAOGRk4xiYwDpzjwgTv+PeyInPAPflsfvVrhL3KGVGG8wBx0eZGLeuyX071TUDBYOd0ftepm6AR9ee9be8R7wu16FDQ5M2JnZVz1zRwcKxInZo/NIsrznMfHEm6Aezom9o44fGPg4v2InEl+QBeJJ+GYjRWcbemBsQLDS53OBPDuiX6fMjgv1WTA3cPxUNePjMEJcwjVZ2Rfy7PRy9a7Sw+bhXYDX26jr3TnrVxkeh7vNTVeqg7bKhpK3rQgDyD1qw2vW3oUirWJ3cBY+EPXZ8zt5YTenLEc/qf1d0nJPEJCvHbM5FVp1CYsU93WKnTr3DU8F9PtvuQ/MO4yewmPY87kxeRe772+cJBW4Z/NYGFJbDApBb/RyfjLHONlavDHazSVgtHefnldWzUKbcccTcj3gzfxyT1X0i8f6FODlhHxy4rgpPvnKexy2ESsADlGIKF7PA6+vN7y+Hnj//e9yeOFjeJMKbN4xLRy2iWKep0nJMzjlyKeP9abjzujTTuXyHPP7VYF5P61WJOY0vF3zvDu87yWJIk4Chwxo6mUFNoxqQZqnSpvbybOPvdXvNFY+4MG4rVO+gOFtvFjY6FcBXg/rVp6rPnflFXEy3Q3M4eE7quY73RMOnEaId7s3TwzfC+LAQNqkY/lp9Y37OhXHnULKH9bVxhKOxRnHv866LQui6H22ITrkHcuzkImOfyAiKCypyC6F9RGS3nkfXAT4qdARkSTrNO1pWl27Td3H4WPEsBc9jeE8b/QOc0q4zB2LdrkeL8sL5rEI4ePuJOneFcXjNto/5qGqtBDgpGyep8lrzgYw7vvkehNMYxNm8JG1Dwt+HWbTHYLGuZzTkd/ryHzJaO5wOiXRu133VQwYj0mXi4cgVhE551+RteeUraHf3UtZKVEFvE1xnrHhYUUGBfwU8orrDb20wk+0NvjKipwaLpg9ZIPWovKleNQfd12eVKdkHAcdOQ1+TI8TK1pMgjaWWQdp5inKvKHfQmOe7R9k2lvFcNiAwbdMBxSZd3ylxbZUln8gFlzCI4A2/K4WfPhKG6fB+O3e4F6+9H3WYXkO4MSA/wj5pnltrPNg0fluCVW64AxhCzk/qrpR8rKRfd8Z9srT3db2NjMQOf92f6COO8n5qNPk3/FqclUxdG4rfAeAd7Ue0iU96lPQoRJ847MeHoyyrm4Zz0mJItw4AYgW/LtN0XiejmuISKgs9Gt0yptLXkeNkiTDOxHAOHTKO1uKdYB9DrrufJR2KE+CTdDqy0khdATsiIrw39ZV80Qf7bkd2AUwD4P6h/VbzCt5hCRu7G9g2uAMgx0Adxsp6iE7R8RwvNCDZWC7x/ood7GoV4RWpx2X70UnifI2NhzyOsk740l8LUmnd3T7wAkf/Mzp/UC2H3m+KoYHMtG0d1BuhsNzXIcSelxUAuD1GFF6OIoIRaWqPMMX16unFLo8gUtN78SeRUSe0CU63LCnfGnHbTl3GoDpL7l4pt+Y5zKvT7mVdh3vWsozfniNymmYPfqrDtXMfT6QPCKjjXJuHw/c00B318e80lgEH8Qco9L3sPsrWMzKaE51m+R1DSTx5UrLBX9J93D4vJ4Ti9xVXtN5kIK2qF3hT/j3/oBiiIY65rskJruL3v8mnbejMa6rtPfoWaINlnM7/C10Ss9LPQvOZOJcb0abjd2RUhGjy2vincF3ma43Yq/WX0P81kPE6arHB7QllY66K0CCXxKvYznhOOzWp4FpL7GcuDWA0fhc6YvTDgbyve/XnW3XQbyeOvzOr31Oue1Y89L8C14hE65ke1rfvihptzT1NU3/5J/8E/zzf/7P8dt+22+LTVgA+Ik/8SfiL/yFv4Df+lt/KwDgr/21v4b//J//8+fa9u/7fb8P3/u934sf82N+DP7u3/27+Kk/9acCAH7YD/th+AN/4A/gt/yW3wIA+MN/+A/jf/7P//m5tv2Z0yPD6oJXPX2C4cn6pku9K+a7jP4nLQzLJu8T7TsDTYt53pwzTNq4TAu+FTaqj+/gaLvS3EHEDLSXACuMTyfuy2b8rhh+t6DWwSUFf7vFY+6H5+OF2g52zxtG70nlNpt6nI95qABzs4A2fHtYqe6uPd7UsL9OAM78F8+JthaPuNq3YmSz16U/WzZZuX3Q+7pxK8jGf8CmGR4tSD1oMOPP39H7tzCRq6wG/3rPjlyMJ1ZlzpU9X5yo+amtZKlWBasoIWo4UWAawLQwowdGKO8bxqYh/cF5yNWfzHx8Irrl7ctv47c7A4XHNEIqj/aOm+K43fHu5Y5PXl7xcpy4HSdebvZ3nLjd3EsWRDuZPh2dbdrw4yWFEkwZLnjUvqLSd8dv+/6irY5X7saklAuyqu36ONRn3Rj7eLGHdOftLOV7U1/X+8rjOSPL0SpTlwUHL8rt8lwr+PIxTovcpZx2OLH26oJ/26+KYl2ft2P4gJ3xQvNOhsuyEAXjw9rmv5LlOWMD51W5K7l0Ua6ORVvvs6z/Qn6Kaqs/ZVj6F+0iYyk35yC2PJEXhzpV4GGqdPCE3jQ3g3SlE9NzPo/0CEcOo7d7Vc9nTm+tI8ZsFOxsgSWyAvb08jGt6S38M6XybrvgX4sF33Ym34/rnLdvGMtHMF/yyV63rjKIF+kuFxs7XLyFLC94Rs6n9P4N9aeK+98PZcACywbGJ8q1v0P30MkT/Vlj5z3kUZ3M7mS42xuk6yz2bNnsmbiSrGdU3iqNPtjAufx1ea5SO/eeHJtqF3ZtJsXxmTp37WhG8LPk08HIY1JtussFDHyg4McKr+7fpQ0l1+cP2JVeZiva7/OmEZ44/m7zb9qJE39XZnLXt2VNYofPZANJouW8JmCb4fTZ6ptkQ3Ybc9vUde4tuixKm6XOR/Zc5C/8gapex9/yLyTVrUvsBtBxzGt6nf13lDwVfqa/Zex1GU+Wc904LfhqplirR2z1/P75Vp5e1NWV09Kv1U4tzzf2wpv12AozfX+W1dRrENo6P4fUbTIudt6DNh/K4c8A8zP4etomfdTGpb6Y60jixUXZG3TXrQ3Gm7D+Gd9J9/sM9iLruFo+d+l527gyhAd1fKgOy008SyNfQDPxC+ER+4t/8S++fP+bftNvwp/7c38OAPAv/sW/wE/4CT/hc2n3e7/3e/E3/+bfBAD8tt/22/Ajf+SPXPL83t/7e/Hn//yfx//+3/8bf+tv/a2n7qP9aie/XxVA7PKf3akGuBGTFavkKViZh9izwoDrCRQVwf2T6f2awu4K1vjzEDOk1JhZhj/uwbHjqvXUQiy8QEhhkHnPj8w73Px+L1Yk6ukkv7fLN1X4TscA13HB/XZv0F1Y3oOBrjggbJSTHct7vzOH698pF56HmGl774Z/ltOT4dnjntaKuK/R21gYvo9xI4iqsNJuTBqFL4TNSW1Wfv46YQ5FVzE9OYHsxVU3YP1Un+FL3yE2zCLky1HKedlXB7jApZgnJcsdO6Lk+cmbgI5DvpdGMe/kdOWcBUd4BRdjmJVq97Zz71D3LGA6eT0Gjtyzzj3zBHGyFXan5+Jh6fk49G932tg3Fx1G/7S8QsZa3LtzH/NBXsaxdlWq03HiPzvP3XJn0ALXbdwhpIyvo5S1NtwbNgxdHZ4Nok7LNJzsSVyNVU68i8Q4FMzTW2In590Tig0spxHH49Umv8Eg7HUJxD1Kx+2Or3xlbL7+0K98ipfjxA/cb1AVnCqxoHGIecravbugPkd3XzC8X90r8RyhR/WmOD+x5n1+VFiLMaQHgHea83oflfj2zQrrrD/xIacfbso3ZRWIRX72tIfVa3NAjBfNu30J15LvzQl+65uLvglveSEwD2/qs5+m9xPlbOjXe4RfD6hHIPD7ZOt9VU7CB0YkCD/hrrIPIR1tYJ4apypDcQ3PICS5k7yEjdcc7x0VFCmD9YFmgSLu0rSDHqP+DLHf7RoHIU7g9jphh2LeR9rIq+iPg9F4VfJiar2vJ1XnNJZO+Avu75ass/0GBn5wD3lKd/0UORPyGFi9NLr2XNYFr0bIeGaDwBy/iFRxh3kjNdUr1eO6VYxBpsez88qleT/vYjf8v7IcJvblusIxcN3dicT3wMR9ON7k5QQY+c8yRp2hnNi4z3/PW04xLwa0TviXO04Zvqp+3BzGphNF7HYLv6zz58MUQl7TBDvV16VpfxR4xGwR5iM6y8imTPST+LzcNR1gCNvAPNBDfwRwPDoh/zEBKHOgUe3yAymfqxC52sxfomEIEKHBWO5j0kSCgXnYg1TvFFs2Bq3tdq54fouSo64DypxLcUCO53Wtf4qCsF9iWpOq5/3lTekOZsXwpgq+DOIz1oGYB6U/2+QyhOW2V0yweH0JPou6tfCrMmY7GEL18nqKB3YdGyhwYMiW43X293gdMkUPDH0emNHBapvO0N1T1nWwChQyb0x99z+mY/ZOc/yFXe3yzOjIdfCrHTMr7yFtI8pPvERCrHJ4D6KHMEy4rQNQpWg61I/4NJsLNeIM1++evv6M9QtPz6yGLvoPJtxcj/MGhkcsMow/CztZZz1pc9Xq33njAqPPbPOfE09huzu6Wx2mCm977aFTXoDT1xYY5wlUTTh1G0IUM3hBt6aj/sWiYfgYeR5ej2gik7gejapXMDOJPtsYGT3LbUROur2cuL2cw3tdx9VA9/uYmOerKZzvBjPU12NU47ZPx0sZrUz6nX7EY9tUlA4212kUw5b5UF0DTDzkLsM+2XicgW13etd2kdavXE89XxBj1t4jzYBy1CXHVaXzKrMPWo8yGFQUcvPnJgNPWltznNT1vhpZqepxQLad6Tl3g+3W+C0zv1QaaWRMyFiimUU3cTh0frb3bhLfrH2J/GX8t/URvK5nL4d1ub91zglC569t5ENtBR6eEgV3MU4n5UHRHzKJzHySn4VeUuZMbbuKnqpvJF1I6Jl6nTLnIwZOqh6p5drAaL9OPqYd7jP1t7WBSIw7K1xEAEXuUWDy3o34URm2S8w1IbFc4I5DvJW/1D5t3rHdVdfeIRYBi9pe5ljRV4fM0Tz+ILxXmFhXKHN/0SNKnlhvcR2+0yGoX8n2bnloA8vXMX0hPGIfpW/4hm+I7/d7R4Uflv7ZP/tn+P7v/34AwC//5b+8zfMTf+JPxM/4GT8DAPAd3/Edn1vbnyWJMeNBnBQCqiN8z+8M3Mp0l2enSbGrk/LrQRvAirlBrGsdNWxhV18yRLnthqEmfZs2moeXjU9W2cPvcEhmStE2tZNgukrRV18oyn+RrdlgZEVzMQLp2aKQPoKFceB0UAV3eGdMhZTHMgm0KqALA071p7xzUX6LX39A5aVssLgyJBbucv6Z5IsT0xKhURd8kiI0x14RBrZ5NsZmlycPOXSXAZd7XqqMOncL43U+8cZJUgok2gDTyM6LLtGm5eHNvWq4eRun5XuVaTQwXDHWVXuiellb6GBp5pIb0fwXp2gdNmC+8zFwmDocRL+w0GfkUewNFCdWlSUEmIrOjfVjnFQ+XzDCT787x2d4LWrGhYeifbF+8J8/o/zhQcuetMFPRvjl7R1UFc+pj6MNOYbhfHs58e6TV3zlK6/4hnev+IZP3uOHvvsUX7m94t1xjtDuiCiFthFL49XRcdncifkviE3rp5OXodPfixwAkoFdQ3Um2mUe5KfJBTMcWQ2rxOMd9FPw7uPmMjXKGv9gmmBj2uddADRpTriPoL6DykZosIJoHhNrjxeQPc9WdlSeXhOfzueFDcw23Ls16nNe7FcBFF7aygpiA+p073+FB6XQvcTvqtEc48shwLyO8pflpCa8JE9GgmPRm5hmy7vUjqw41RugLxjXLezGq2Fjz6RFf2jmVMdTOcyx93/n/RRTjj7HOArOm8SCAo972sjmOVWb0AZ3JfwpgLxY4n3qZMJmLnBIwEepGuj8vHpuyanTgA6ej3lQ6iJFXzlc6jHxOzPmipKxTbhf5lnQKPOmK4Doj/oTdXoY100531BdXhdZFraEP2Z+suNlH9NzqZlfTxd9gPdLj4AqN59q70F9/tV409Y78wPphUNrz2d7eFY+ODPv6DbBzPMkAULy0vM9m7r6CqwVtv4AEs3Jqm9v6snlMyxb+UU8Zh7enrKhszGv6hH+fvKfTH7teTYw54dI+Ku6zaoz1jrLAy5DIVCv+tQuMi/AZ3hbfcI35EIn2MgBz7trI+UrbXfvo40yYbhMN9FE+8iHbzI0muLctarv71Iz/vFbEJtpoVewvieIK1TSJ9mA7A0bf2wbVn1G0Ojnmg98M+zJVm/60PZ54N9tyuPmkZNOvLzcx8bs7bSNWmrL7Kqt92aXmMbfwu+8TW5n25++/kROXdQ10VQlbxouTe36u+hSmW4ArOtQ3DdvjKNd1XxHzV/gEcAPfiQdO9VTdLbCe3gj6WHq5GjhU6yXLmuwDb2qrO+7zcHafgvelUyi9nawT/1a+jnKbVzI39R0fd7gvp0fSnlK6uj0itV1G5YLbqOiMn4fwppTH3XpX6efdBGmUj+7PjyZLsUA4Z8jPT3V92bsHtJg4hkXdccYzEwpmlDF11Zva+SHg7KjzWf0kw9Il2PWqwvLus8XLX0hPGIfpX/6T/9pfP9ZP+tntXm+53u+Bz/35/5c/Nt/+29xv9/xY3/sj8W3fMu34Df/5t+MX/SLflFb5l/9q38V33/mz/yZ2/Z/5s/8mfg3/+bf4F//63/9QfBz+q//9b/ie77ne95U5t/9u3+XficGqFkZWJSKhgDnfa2loc64uVAgxA0qQTqpH6f3KbRYu7h2yFzxL/m5HYYjGPIhsWB5leZik7TCs9sA9SYPgtnvLFtgpXu+1E75xjNFi7/k1SBTgYshM3yGh5K9S16yXlzHSZY4bbUodkieJYqJ3xoWN+Fg43mxxTcrYYp1g4MFkk54YF5QcmJsChJtu5FsN3Vu2/X2Dr+jp2Y9zeHsJnEy9TTldJxaNw++6mnqX+lulGXx08FIHl/lu3tb+uJTeMBZQ1LaJWUulGzPW2Cb7YjhYXo1M+yxYUh584YOPQdyeCGA7rBUKkd9TH2menwO2M6cn/gb98Ugn3Y2/J/v7bJUFcSdmX6nb22nLloIpneqedhG+6esJ6m5bPVCdHLyu1ndC9Q3TE+HC9NzmMfN4JnejvRMdEhf98Qo3sQ1ooCcAnkd99bixe7F5fYc/jJuerdBv512knzg4DwFr/cDpwL/n46DTp++Do/Y1/PASRuE43RzGdMT4Vnt93XG3bkgWXMnVHg5MS+5AzMqg2BuStBdNFGXZC7w1EKuM1Zr3A9m+GYGL+jFnPH2z+mxFpuyVS4S73Y+ljwk/MuOZ9JBg/AKr6fX7dT5uJ9Jp7d6gSP1mZP1VYG479rveOU7RYCGZ6vzR8siE+/sGSsMg2Kefn7xfH7iU8Lr9TSv5+HlKlNOATiKZ/vckJ3Pqydz9MHHBZvUsPiWn5O8T9FALuRf+77yQUr1jt5UhvDPi8cnMO669XdFHi31uP7A8r3qB8zH4fNt5g198wDOuLDN544aiat5keusI/qpcA+oxfC/8mRU6k+DO2Hdl3lFTeWZb2y2Hs8xZXXqFtrjmNnLrNuJz2mHnleeLfRJuKyLCXEHrCLf50NfY7O1jOXMMPsedWqGf4g8mR7N9Jz7vcBe0nKAL+QoA4wEK6/zBa+NMZUEe8Ci/Rj8YEifh514ldi2SPTN/EoVqJuIx8zzFN67OUy8PuoKAt3U4/Tt78+6CE4epg0MrR0mQL+jgxDb02bOsDBPrRsjYWfdiUd6UaW6XA43d2Av898ASl69la89mPtdGXAfgBkBBJMf1XoebgQzfgqPajdQG1nU8hr/aXIvol+4l1eNwlX4W1TFMpAHuetP4VOsCMYht/Aq3JSn/saBSiBvxgqm/eF4S0wRuTOvRgdud7DnzUZmquvQdVMFpQwzBB5DL1ejdTAcoLwMQ1eO83aM3GGh+pbp2gljNtJ3c6LCphhRZ1Kd9lLIC7e9MxclQhRMVo/P09mog0W4Od/VMea+F9hl0o8CYacoMCIfeXamnW6+xxgjR9DiVL2xvfihOD654xDFu09exwasaBzgBYD7eeB+O3C/H/jU7RW3+29U630AG7oI9vK8Dgn3xz2Hk27PMg2YEY4EKy0UHSjmNT9M48eZJxyRtfJJepfmBTfhMqR6wrpNrzLXSrtxxSyfKva6mHY3NKGwdVoZ6wwCyQ4Bzk+Lc0NavjqJx2PmWTYtMXEZOqnS+JYBnOUznadhMjzFOHuexs6K5R3DzRJZRxF3RS+o5j7Qs0XP8eEqdtr2Tt1HKfFojLU0kwstORQ69D7z3cxLfsddVyGiubTJKvyScJ/aJxiAUmaBozy0OiNqySZ5ZKaw3atokERSiU55I3yuk2eYq4d0SwdFX2h1ZDVYj3mdAeNoseFTA813/k00lsY5zTuJdjSMKAR+YnwZX4W3zh+CNgzxtt/NcyqXePaOx23SdkPYyvHycdDtFTxfw/SF34j9X//rf+GP/JE/AgD4hb/wF+Kn/bSf1ub7vu/7PvzLf/kv8U3f9E343u/9Xnznd34nvvM7vxN//a//dXzrt34r/vyf//N4ecnd/S//5b8AAL7pm74JP+SH/JAtDD/+x//4lP+zpD/7Z/8s/sAf+AOfuZ4IzfYEIUXoOBYEGKF8Z7gDY+Yl7MEufK6okrdLfTknuxuPcVK56jeHjE0ZFp64Nqqdic32ZL47JzyhNPGfw3RxKi8M0SIwp/Aus5pwkDwyYuOlNOSbQsmTizYaBHZfSKmPAE7NW37oCCfIDG8snpjAplB+Q6Gaih1v0rceDVUJBeGm8mGu2/qfbCMWPDRm4huxhwxPSX8Pp0Ous5R30HhMKBSI06qIUChiRLjLU+ydzE0u8c7aGOgLsEy4WF3AmlzJepWkCOvtPgzXU8xKI8SF8JTZKTf0d0mBCJN6FwvXZXC+mqHzDmjvrPS/Q8njDtOjzxOFZPENHQ7BnBYzDJ4IzcRthYZTttYFkNsIiYNXa+CdxuZhMkzguFTI/Rj4dZhSiGor5N6npwB3ImzHGwB9OUv4KdaoMBcvRAdcL+fYHHs95rgBSJutwLwz50RstolvZvsm3P0APOysg3+jfvq4vgJ4EZyf+Oq+rEqYn0L20NSf2iQ4xBzffTN2bLjiPPDpK0ZI4nM8v98Feh6Q4ww9K9ixj/U5PMMjXJMiNsBDob1P/AaIvmAlGMaeeZfzIYhYZHdvWsN9bPpZPVt+RPUoJPDsnvR+8lxOCY/wIHWDJULluqzg+llptedyH/QYfT89vJzMgxSe2Qu+2Ob4/bDwaE4TMsN02wb6OLQk0Pfz3Vy4Y2aPrPBK/dS8oK2YhrV7P/ImNZGanCZfAJzvTD5pwQUQvPV8GQcKsky08rdR7iib7g7HHMQ5zknGbnSPFI62U8SpHUZRZwAo/GAVPyN8pDnhFTEwGba6OLQ1vhVzY8H5qS/qH4jwW9GHY19fzBNPLP99rP29k9Ex6xbDR+hU9u94RU4KhKdjqc/fsaGfFuU9W6HVRbd1WvC2uHnJeVjHqAZaeJa2ii0C36lv3EYHMxHT0HU8kodSednATgsHOuRDhU3ueVySzlbaTs/8u+kZHsHmxhtZvuHm9Gsw5rDbSJs0bE8si4+FDoNPcx5vx2GkUMfBzjwkWxmmuEpD5AtlTH+e6fOyE7vkG+6K3n5MfKqZZwnnVc5UfYTovZtvy4GaqyST9he7kXnmJi2L/HSXdGpGCw6iAuqX07PMP168Updtte3EOwq8FZf0PEIUN/BeJfY8PbvDtdaey4F2ETDqan4XmPkQRVpYx3xf8eB1LTJ4157zGJeLt5nfWW7iNcCiw8mJeeCP+nvV/wkD6assd47SCdYJFiFUK6a6FEh3OSoynBz1iMMF+7UyuyTINmDpe9IVtTyrYVIrrVaPS+5P/LYBuoKxwrW8czj0Ol/MzYK8Cjfjw6/jqYemAnaf3JvyXkRsLcfpgcIFJx1HAH1p+vEAPeqELuClr/mF+FLQUaUhpstu/UJ6r2Mh79dv/Mp7vNzuM5yqpVNPvN4PvB4H3r+/DXoOuGTS6QFbJ3LEkISo82PHG72fxgsWXFWe9kxiWn+mrDr/HONdedw8LLqhWZ4rgvVAxwHEIdzI04/ZWtYOvPtBdjaEQmnzfkx9Kw7tgt65zlb5d2WF1emGmkx9rn23ulv2YLAutjjy1BQoKuEuNKD03H+zzJdZ72IjLXBhTyOFhnbX5Yx31r/NwbBl87Pj15h5kj7+AK6t7tblwdrdzubY6Q7VFmh1tyq7Kb+vGi54CtLWFoe80drBx3DFhvWmn0nXqf1meDZprjURb2bdY4MHaKYh7yvveaR2Ns+9zkUlKfTU2W3CsIbd6AgpugXB/ab01vy1vV2dzIdcjH9IW1+F9IXeiD3PE7/u1/06fPd3fze+4Ru+AX/6T//pJc+P+3E/Dr//9/9+/Kpf9avw037aT8NXvvIV3O93/PN//s/x+3//78c/+kf/CH/5L/9l/NAf+kPxp/7Un0pl/8//+T8AgG/8xm+8hMPfe/6vd/JJ0BlCAPIEkMG02pMNFPqL61ru8GmIVV2hqm0HjMRMCoMfYEmauFVYBmNu6g5Ge+owyDdC0heFkm2UNj+RlWPuizMcf1aYSlJSEnD+6biRhWFHmF4w85uble19SRU2B4sYedRnz64EBMOf8CMD9rEp2uDWFQCuv8DlCz0JdFdqWIGoVZM3mbA3Y5TfawNhWHs9QD5pHoJYZ35geJiEJqezzUqzB7Kgmhpq6cRsb0lhFMlcrBSsbYZ2aJXEqVWqJ1dsm0cyjT7Pe6MQq8AKl8Mb913SRGQ4u3RanoZO5101PKm9W7IaEswO/A5MYBgQXH/V0g8MY7bjgwynSBOeGHNh4sH4A4h7lDyUsgjGBu5SKZUXxXHzzf0xKHIb9aifFBY171gql5gGaX7n2LzMd0hh4tk8om0aTzyG8jTu8Hk9b3i1O4KTHmWbtAoMt/HjhJ7HOg6Eb33RsTFr93UKv2f4VJLXbGyCM86Zj0VdDmCulzfTIPVwjk4eReWDvPm+VskwCL0TKl6NxvQs8YSSmB94P+sc9lDJAiiMHngxyPO8bFwvGOmHQN9p2iT3PzXewHdl+4brsqGjkzZ4USFtTkspU7rGC6FyaixyZQ8j0gMg4fHp9YotInSbdp2MWzYLSlNKsHrfPH9sOEUB6qPTQ9Eb8uL+zLuUT0CWzwQj0S7Vm37u+r3p844/pjlU8qeF7yrTKo8MIHK+3QJMhXOnw9V37QYJ1RdTq8lTD+jVer2CTu9yms96Mla81LJaypzabj6xB3ba5KR5FlFd6uEDAbaLTw0u1hClOYrGoDUpZSY8UmjikTHrNNbOk6vEeL4q08D7MfVJKn07X7mYU0A/51obKOTbDgAbK0Hyhk+LRlTWD9ZcHs69SLEwp7PapS8+t4g/LDKC8jJss3x+t9iyDECTVGR6laV65sKie8bvDkcvMOpsO9jblZ5CeSLKRdH50uIoiooi5XdTRdRPmRLvpba8gvCIv9KvXH+vssvhOjNP9LDEbBN2MlkU0BPwK1nTXDF7zje70pqGzwG1drC5WqTyxMCJQJc72ajdOoiK1Ybz+mKwNvgDHm+OBs8X2hCqA8htdYoIfXIXqnDgceC5UOWYD7mW9xFBijNvhEg3JgsckvHYlV946libgtp8dU/H6qVEG3gBZ52jFXQai3q4WmiTPt6dg54q3WYdNfMeKc/ENvSO48S7d3ccx4nbMbxh78A4yGu246mIw74CxIbrPEzv9Nnh02A/kPhC7mSDE9aLmM6MX6bh5/KJMRq/LW36dFLDw6JnO66cqRU6SRt8glg3WaaNUKQrpgOmL1fUrmQs40CN+3fw1t8e3Yv7agf7Y7zqHObUzaMrWQrCC8sABdHK86nKpnhe5xNNtdFP9HIDE93pd223Pqi8jT9LoViruTokJbkMV+dlB00WeVEz1mdvTDv7srMp+V2Wmcg44fEvOOs23du2fcrUw/kLzQ9dotMjOzs4lUUz9vx8I14epmUO5TGc7EATj5sRjeZm7FI1HyBg2nnAN9JQFO9irsPX+Jku6vxJVfO7Rgx/5sS08IE0/vVKX+iN2N/5O38n/u7f/bsAgD/zZ/4MfvbP/tlLnl/6S38pfukv/aXp2e12w7d8y7fgH/yDf4Bf9at+Fb79278df/bP/ln8jt/xO/BTfspP+ZrA/tVMotMzBchEXL1Bxn0UQyGs92XKHTjYW1ZLPa6RVKG7CKeqeMyJK/ecLxabQLB4iOLKwFMYvKwohsBujPfZh8FSwosEKF5vmBts3J7173AGpJhhNAGgY+SM97oJe1AxFj7BJCXBEf3rPIMUOAxXesjUAU2pcM/Y8BIVwp/O9oDC/AjmeZ+ZkleapDv4Eg5JsQk4yKuK84sS+oqCdL4blRzvZWygW2hLUUyvrcLIvf7jjhn21Lia0/tJ96pE+MtPYaEWpyDRUnf076Yzk9MKh4ANJc6kGOelenADlpCyrBQL6GSxVWzhhyA6NmHY8AvFfvyIkLy0SaddWze1zV2rq9tkE8O5bdape5VyHtuoFdsoVjr5uxgS6W5MkPcfZnQLMwTk3bir9Pz0lmHzNoHYuFLHSSysNBLY27YxUr9/VjF4D+eLsNFCIXIHPuWTc2yqmner3E4cB6AncL5SfB1BhBuWY4Rwut8lruM9LNzs63kbhs7tHJuzCtvwlBEWR23QzoH7sXEpwHtD2k1nX9yYsAMM6pvk3ncLYXXeAdUD+npAPZS3e9H6glJMKgAWplh90/bINOCLC3LH6Esda95kO/Ki4jQwND2L5z6vukWzWr29y4c57JVv+EaYJwwvau6Ie897qGQzlJW8WZW9lKNP/iUfeNA6VwQURo5wYjSS+mT3LqkOnKrKuG/pUOAm435iH5PKswDg3Ql9B+D98BZP96X6gpAdtAnvUuKtfOjE1n6Dr58vCD66bLAxLwTxVB9Tmfi8/cAo7F6zgad0B53EmIjOQ0HJeG50E70BuK+stIN1Wezxft29z4P3itHhI8+ttAEGhPyMMXCwFWkjgj1gva06Jo+M+mXBgGRbusuYYXWYHG9AyFrWaUKOHLk8OsOWxBDDyPM6wnU13ua1e8kTmuUe1v4JlTlviLWx0ZZM+e1tE81CSa/W2ZbnVYsqcNyV+JLSQgj9tql5nHOcq6dAeHUH3kfn3fNtuT/X+jDGTWmBLx/2u9qwcM/kAcuENdEs6270mfS6O5JOOeGy/jL8NM88mk3A2x30ovnKkXcCNsrXLVJ9TJsUG1UKP8muxqxZjjp/Yv3eeQT/Bj1Lc77m2/GrIoLldH4plFVz+F5OG6/YAcdsdInuxCHu1cKt0/xi+6y7cyz6TbzkYQrGj0Tby7uuKMOvhpO3EjzxzPo87B/Yd+d5tAjnOgCPszgtAVYoNwfuctEVnFewTGMxHXak28Y7O99plyNrkDxQwq3zPd+smpEuBB3jTLrlqaF3VHIOer85ruwByfB4prlMIL3zcItNF8oc/E9zHXHgjipxO6abO6mDmDrtztMOiBCzEQHnBTmkrdNHmdfeXzl0XsEhVG+hnShHhBNRhATjqg6fC4K8HOP06zZ71Xtic5LaLDpF2HCOT9VuySf3L9pwYsOwARRma3okLnvGV9qwgO3u+iThHt6NTlulf0zvo5+YUYkcpgVe7ntuWw6FHGMD1u9+/eTlFbdD8XKceLGDuncV3E/BeQ4CPWPcxnvEYZQZCUtFIbx2yEqMrdnFHK2b/wR66IeLcwOPo/d/9jM24oinxTpEDdXsvB5UX3kXkcsaWqkbPctalo/7UZ65DV/ntmdr6N8bmLQiK7wBBP1m4EzXFVvfqDJ/2YjezN9qLwUeivxkUgxZQOPlh3G5nvik/PxyklN2KAnZhdl+OnzbTZEqHphsS76lDt8s09ynKE+8Z7FHqa3a/iKyjC9wdJ1F3tS6r1LDgpaU+OZsc9omTfuPYIj+DsJgh7HJrnLEHg5vntYQ7L3rEmMO0+E0kqGJhiq43Jd4Rg/CZlppdK0sdXNJl5ua3g8jyMVpDnnORZ+7w7sXifVbtt+inUp7O3iXPmWPZebHde1kZqJ2H6QrGFJ7uBifr0P6wm7E/p7f83vCA/ZP/sk/id/4G3/jm+s4jgN//I//cXz7t387zvPE3/k7fwe/+3f/7nj/w3/4DwcwwhpfJX/v+T9L+u2//bfj1/yaX/OmMv/u3/07/Ipf8SseZ+yYeM3ixF6FZ1cmBGW5o/MBAddTFLuTzJcT4cHk4wl9yVS0cAxWUpdKc/0tPF0ZxrsAy0k/bvMJZjLaL01SHct42PusjKwwxx5gVaSUFvVKeIG60BewbNJicGMqH2FQy3y2wNcN5iM69T7VzQEUfFj5YZB32qMpbaHhc1mdm5v1/tQQTPP+n2lI0vfapyvlpFtRTVKktA9d83DeyEKDQrCnfN6+NBubitgsXOB4JlWarIqkh9TtKlVZ8RZjI08pmClUUx2rmvzZgRlGuMUV8mYag9Io7+p9ATAXF54AX7AwzUSvy1hqbt8WJtT74YsBbmiZMqkHxmIH04tV52u4qf3Gg28h34WWCbQtj2/KJlpuqmeFjl/EeFf8Ga1toi+4shtj1hiDC38Sw0tFyNKHUV/FqeM5dc7kWBzm2dBhgsOe+d21VZdOdfAciD7kPvK06QyTqKvydq6nZ7vRp6zwGxFxfTsZhucVa5etj5T2teDb21p4i/LwN5uYO/yU9kf59dnDOip4jscNu02LVCzPLuCq8yGBU2nU22ZWXObVlXh5xvjzviS9o86bNFWbCoM+udLKhIwPRrg9jfw1pNSAaSOrhd7tOi+T7yf1lvrXDWtHt8nw7+DZpF0YtTelGPd9XU+Frf1Blr6qdiKw0G7HT2uq82nLf0l+PJ1kP87taX+q/xnYB3xmM3pkhjck5h8O71b2ApdyqoWXedAiqLHXUTmf8Q0trONybnXymurkRcuHfJjrJQAWGywyFPhLPe2YVh0zvXM96aJc0getWY+Ys2sHUz0MNUZhd/St8ju8X729TvdLv51YOrg3MmL7rCrenGczSer6CH8Xev/UJCvluZ5du9t+zxcerUecTzxRZsLk8rgr08Do9TB8sRlWyqV2yruk12i+79OJL9mN9kzoYCwwDtUC6bAsDqe9gthOmSvXfyzwJ55mbbqib8SvZnucp+B+HlBViNzweh7jTlh7fhItnbxO4M2SAeFzRAXpjtmA7wrXtcu71OiiT6VGbx+NXeS/0EVbHljhc/JNcqU07EaZeakuqqrld1oJJ5TwlF75VSp7yFwPqLCJj9Wqp3fLVdy/NLXK+9rFRU/nxgpbDRJ9NLCFNSxrj9L02eEv+kxiM1UHIB5QD4O1VzPs8Mays9BEu+5QE+HVDxhILXMlj9+qyzE+6HuMT4Wdy12N3UW7b42QkjYBny3KovGhTWb6kkcrfWNKNP1kv99ig/V09qA80fwWJh/gnUxU7ttsb1kj8k/N7xe67X4/mbbz7eucvpAbsd/2bd+GP/En/gQA4I//8T+O3/W7ftcH1/WTf/JPxo/6UT8K/+2//Tf8h//wH9K7H/fjfhwA4H/+z/+J7//+79/eE/td3/VdKf9nST/6R/9o/Ogf/aM/Ux3tJpYra356xPkNGQt6s+82acYcmYuBcXpCJuuM0+uklLbh1Vy3NGbn99CJhSSRO5/gt8nmHiHFKE6MBmWxkph8CLeqZBb8iAvFU+IeUhbygnF/jofBOl41yo0+oHhjjIIaCjFmjP/wMNCphLj31wHECd8u7K/jN0KkyiqQo3+SnvM9dv7cT7MFg6PTk0m38f7JHE/35NFbDoeXFmPcu9Q9qir+XaE6BOcnXt/EAY8PTuD4Aaq30rePRVVC7PN8GXWLYoRItT5wfXICt09llr1V7cza8NPFTuN+j0soiqTR8wlfAFCx+5zmXAuPPNW4hzYmgU+KxmMpfvuKg99hU/OUe1NXxCHNX/idtTGm43faYBarN0Lm2mC+1oEx/NTkm6qMM5UFvHh3HqN/J6B6rOXIqzXhJnhd8azz96BnvNDnp+J9w4zDRkUo6PFc3p1RRq1fvPEqAhyWJ+5VPUeopkN0GKQADrvv9nw/TgzI7YS8UxzH8IC8381T9ZQcOtc3o25qhxkaGnB4nV488cnwU6ZRxh53bhBbONy5OWmoVPo7SR4IhufhDxxzQ0RlejrEeEy+mwfP+nSbY5aMO/Y8NXpcTtjeHRZ6Z4cIgvFZ//ygh8acGngQ6wfzLfcSFcL/eDB5ctyZ6PWfCtzNm5nv7mJaBrIHuNfNRrXKvE/Y390P6B1zIYOTl/P7gO5zno6w0dY9DlWMwSdFzXOQokaIjv77XzRTQ92wnGXZEV6OHl3BeSJwfqIpr8N/vJe4B5P5iR4aHoLu3Rt9JnbHz11WL/JVKE+VI56FZD4b0y67qkGfUpGxUafL17sm2R3fg0X7czLkCObUlAA41vd1Eb6DJ3d4sN7Io4hxTV7rjDP6PTw/pXmnKYqFwPNOsed5FQhPNPemDHz5u8AXJv1QPYkOXUyaB7PeRh3nyyyfkTnrSl6eMvEnwAgLr2VO8Djr9JbdE8nEcayteX0u4kRSZBMA4anNm6wIfZ3qjnkpcfgi9HWa34PtyOTbDJ7sybzq/WmPId5JzkMbaaH3Gswn18N0Ee8nv2UbZ8iTbpL/4Eifh524JPY0rfOmpIWmgEkQsubJi7Jkl3VExHz1Ro93oSprYjcgj6bkcBEvTWF9a8hY6ufuXjHOk2zGIvdSPhC/L/N8tsd9GTioUSkSacczWswV4gdRt0R9aWGM5bqS6Cx9kTL/Jh+YB3/nOLsu9OT8kzkml4to7Xgzf5ghfmMfinnHPcMjLnAwOlzlVCuzJeeJ8NgcveEcaxrjHnmgXhVib/I4drKn67vncX7n/X1BEUj8qXNQ+VChw1XofvbfGa09OwyhigipXK9Acdkx6xGCneaZvwMQd6M4Dtwm6RiQYm5YBi4k2l50NmoidHEZY5B2jQS5PZ24hed3XPCiO3sUBr3RpDmofvbc88lutoCwR2zpd7ehdpgefLot4teXmB0JxfQw9n4cVpnbNjqi4kQknBgT4pm8AewHjj3ajkxwz9NCD59jQ/wH3r8Y7GIhooXYgtm65xGHR9XteLJBHIbFriuHb5isQr9zVrKRT4nZEp9YkozCvDbp9q/DskTD6dqyKDp143uRFUJ98HoLz8kdtYfevkdHInxXgS63aRAJMCMoLf2mNmXQSIRYTyeugfNmHsxi41Mj58TcJjlTxrHqloJJ+47/86aZ5xh8LO984xR2SDrs9NQ9jTKB+ot1triWptAm4wfI76NtJxdvayfLud6r95uU8M1A2Ge61oY+c56J61Se2tD6Xcv7SjvI0437qUQXuLNo0lI+3xMbzkbdnK3zr7wL3QsZ1nQdRjPO3Vgkm1PW9/8/9v6eV7qlSROCr8ja99MzQgiNhUsLAQY4GDiAi4PAQuADxjjjIHo8DITXw4cBBgiJP4CDCxoTA4lxEELCwhicEQIJIYZ36HPvWvEaGRF5RWTkqtrnnO7nOcyd0t5VtVZ+REZGxkdGZqQU3CYYmWYrDrm8w/oQuoKCaKnrM43f8rvsfbrVt9DztaUncsTUbEemNviRD1tZV+B52JY5wMm0WnHY0sGpkSIK4sebc+/PM/3B7TX+63/9r+Pf//f/fQDA3/gbfwP/9r/9b/+5tfVP/VP/VHz/n/6n/+mYz9/9k//kP/nnBssvTpXhWpLKHOLFi+pEUHcvsKHZtX+3Q2VOGpZgr7iDlzvNzvvibX5dStXLOjY8fq3BGtKqHYPmeWY0mhgj++2qEZ7GP+tkLwDVtQDp9XjZ6ix+k7HnDiHCWLoDOjE/UhikKkFfSYItdLK3mdpKDijqC3/GX1ZEc1t14JrvjXJ4TKd+1+Js9AKFYA7thTEMdDwiwXB6X3H2qo4O1ndSEPdNG6f0FeJ5Z+5L/pvGZsnq81MUMi6MofZdMcYiaDdO/XeU8/zS7JesbTE8nKdbCPGfyUgDOWGl1MF1SfPsDFerRHW87105dNPWbbkq7KrC2CluMVeljPsNgRDP2rX2+6KndUuO8LfgkfQ+TqK/mhsMlzR/XZGOV747naLupvO6QiNn/O9jFfx/s3Sc9mvdJdtXYL7jc6d0o+DfRf1IcHHeF2NyBENLuabpzpissjFXur+rn952R9+bPtK1c8D3K6fQRio3+KrOhe5dxfk2Rk37KHnaOe75rv3v3ZSM/Tu66N6HXrh0z/jNfcF6N7/sgu1l+5SvHY/Ts3dosJF7rc77I30tvbLPgNfyq3l3tDGPdWiMsduZnSO0vfPsC+kXn9i+0Wn495fp8kaOAD/DBjrMteoAaO1FfvRGP77Uzzf78U6d79myB1rchN/Kx3+9DVj0VyXV8Q2638dA278uiQrae2XbzF98X/n7QZ68nU44T3htlJJ36mU75M1y24bF8Mj0yOwiPx3huUt1pdjxaqGV3Tb03/7nexqE6EVklfF6hMdJEHe3praqbdPB/eZEXk7UWUav6Yh9PgWfnwPP58DzOZ/pJdBrbiRezlkv72P3us2fvQbUldd+88VeCIlnHvnCqzbv8r5jn5ze09i+FGsOTGf7ncrSe61rW2Dd+RcMzq+pu3U0/oX0c1jRr51e2au3MDFf/DVT0+bm/PrzTr/m/McX5uZW0fpch9SwzaVsH7+2o+5sR/59xHVrf9dG8vfd1pqM5ERjd336WelN/e3V2P+a8/QPyZb8gzoR+yd/8idxEvZv/I2/gb/+1//6L67zf/lf/hf8H//H/wEA+OM//uP07p//5/95/OW//Jfx9/7e38N//V//1/hn/pl/Ziv/t//238b//D//zwCw3UX7e0uVMSriJMFiDkvx8ROe1SgAbOHn8uP0Gru5+N5Y3rEBIO1iBpDvwALWySwtZeqOJW+r7GiO2PAdAyj9k6fOTYACCyGKubt42KkC2xE5nrMdP5EZZUK50cjrz0/32wYojndF7JrtFmW3deULhhzbwdKFmEEew8T0m++8y2lvT5PQjwOHfM/YkF1oqGI81/PolY3TuHNoC3A97BQKLfCr39cKGxNZv5MjVbB2IpIA3O6MZeWZT+ZyX7zv5ZkoMD4xDYcPzBNnHsazDkc3RM1v/d1ld5tIXLC4CW+CUT50hna9SmV8ytVDyCo9UwC/u9a9OxeAp8zdr7Lui5WnbDs0AaQFAA8RJCp2InW2IZdAfnLkWrl0J1CS1vmElrUB3gYlOiWOWNmno8IyfNDFTlx3hNXB2n3sY/qcixX60Lnz+NIoG3fXiqbf/GyFKpZ1l5Ji1uX395gRGnf4qZAhPeG5sAgznYg156xvUh6iGH80+6nX2gflhqo85hHNOBUsBtD3B8Z3iVOxTEfipzD5bhufG3FPVJnAOsc7dvKLrvtlgXVCkh16nMa6Y8MPYs+7tzQ2v89TA8bjvunKA8x+lLlYF2zi5O9lJwu8vxePLUJjTffIaqmH6o2Ttd4HtfqUkep8SwtPpK+CuajikRaG4Po2O+N3525lfK4CdB+Qwf9QPD6uCbrdDVvLO2xO+wDW3bN+4tnp09sy+JwnObmnkzNKvPZBvJVONTpPTkbwA5lXKp2Ipg04nsanR1hw3rP65+gfnyb7bAroNeWz0w7vxg6UPFddST5gwRd3clY+zOA/qA4AcRpIsaJplJP3IV9FZySE8m62KXFScNMPXB5+anZap0y5P3xaNfVTUpH1s+Bi0xNYRnoYa8Oz560LB6k9ZfzPTNeHj9c64Ruw+klIv8eZlMzQ5ZBx6cmnd+ACTZIlRlL0EZK9TvOiO86F8qn/PjlUYzMbgj44Isx2KqCGRfVucrQQP/Unq8zWByrr/Koa5ELjAWSaWX1kotnhbZ23FenX7KvyCVYfa78nufJOxzvXa/Dy7u5tjVxk8bxmDv9I58QnCoHMHzY8NwdoXF6Ow1yIExngq2MKU+KGO5rGPm+E5gLzsuNi1aHeWTcwT/rt8MX8uDDljyluXTPLJql8atFm5b8MX0R7Yt7LWQuOcsQqgE/EJ1W8GxtWbXTvZ7VRstquCf6Z10/T547FeIyyyGc0cQeX//ZxTfas99PqZT6mXI/jkXkQ6wUOP7fJc4FlXPDUVZd8X7hRapNuncs0bqchw85ohRWm7VFkU8KRJ7cFw26h9/6chWMtH0ixFw/NfSadN41f1YO9n09GNNbp24JHKGwjIfr7WWs7df7yHaHsfASgz8mo/B7ZbcOi2bUTPiOux4RVXe5He8RUqk2ecFfwACrnxfwE68e1IijZu8FX3YSCMXEkOvsy7FTjEyP0S4fRnbN+MvJ6Tn1hnpB1WKZ9F6eXn5gRuUA4ZnsREmGQV9/WsyfGunOUcMF9iwPITwk7Zhf+XvU6YZlswMI3DIzZxFWe1bmCXBfzkcB/nePM8yq/IHhEke0hINkCSY8Uo63gqTwvCVam8xNvcPzWtRfR7JQVQFgwW53i4/xxxXxofSsPg/MpcUesRvkyBl0iXILyhq1p/JTfb2uOdd77T7PLhke7K2sgvA4QVen2aEXS4bUeT13Ic2ezzGspD7PS+GQZ1OG56d/22vAtTG8H3ASczYnFzj66c74l3YDovPoAln0Muh81v0vzrCYBXt5zX3FLbUT0LY4idSoH6leBJ9GH7vjSMdexky5Q5uy22ZbrkQljvbdXFCsiodtOArjdF4EvIqriao9h8/IAlt2JPc9ae3C8FRzd6SbA5kNoefTIbK7yWOFnyLTWtlnnbsH90fav7Ud9JmNP4ZF/j+kP5kQsO2H/g//gP3jLCasvPPWqGvWMMfAv/Uv/Unr/D/wD/wD+lX/lXwEA/Kf/6X+K/+v/+r+2Ov70T/8UwLwf9u37d/6ck09wXvjyiRq7i0Mf0wgxOBf6FkPIi3I2UZtFwHohNO9iVpHMiIhpZKVJ0iJNJFdguglu7ytD3xabnhqhj73dLQQBKUpu5G+CpsBQmdVa2Cvwl3BtHcwLlvlwtq8bfKmPDbNb77EUH2qzGtSdIZr61tSX+1cYMPelCKBN8XHFq4ZLaARrrpj6VEN8DVLCUPrfCKtXSr6HzZx9kbXIn/oleTzv2I7BmNoh5VNZgzGESRkzV549FNGqh7UfK1+dTL547umJFI409cm7wzAFTgT4FIyf5p98wviIOWgdb8+pHMunrLZjHspySHtyByewwhS5sca0cppDjBO1+mnDxGbEX7OvMYZNGO2UuF0fGzdc1PCssN2/9t2MVV8A8DBNPiYiecfzx8eFb9+eYWgHKLwI4Y68scZYov0ynu6YdGesL0Q4foOmJcY2nHLh7JM8hyo+Kn4JxukExwwj6xsZzEBlxTlOxhe+IAm3kst0ilLw8cMYdkkQ820toGKFRl6vAx1OaxtPRMlXQXAekGCmHM1iBoBYfBnjggxsizdb4rFyDfiSbfwW3SArw8xLed4gjxGPXeC+kZdB7/S+Gk7oxo3GfFsECbmdEd06znR/nlKVgxWvhAdNuJDURk3COIlnmhfZqf5292rplzR/na5ygqlLm/wnEmT8x9gzLpo5kOpCAwfXcyoD7uOid4dhW6ixdrpFllSW4OZ+pqxBWzBD8zDfYmw06ZW1ntU3iTnTwXcyemtoqcSamzJ17E/RRm4XRBIAS84c8Wt96HhihXvp/kgOlOw00uSo7yss8Nsc8lBmMdd+pPfSG6haPPI0yO/VcwtGCX3YyjnmC79WW+hpe+PLd3Kkpm5ev6OXAMnWSHWd6sV57gV8X0FZybst0rGu86pPwW9+3pgxz2PZk+C5gWEb15PMLO+371HhDphc5tqKZx0cixcnJ+wm1Jv2iy40m6rC6wbuKo+7thIsKPDZ99GUq22fkuuc/L3Kog1upTE+CyDp6JN0LBFuQ6j9Ru86XfPyS1PCIf12+IvtH/YhhR+O6ErA+sTqv8jc2OsRlV7PTTF+Kj2tM86asu6E1U//G3ZlyiBb2PJGe5I39N7CVz45ET0c9Xeuh3TmO73d63FHXnLWMN1ymVN/Ks0dYZOetA/8R8pfm6q8ANZGXn9FVyol0ev1iua1KwJSuY2u7VfDy9Ov4fEnPX+TPc08vtUdK5w/M0mhzTs2/lY9vxQOTkVe7HZBV1H/u1vnqLb5z9b7Kkw3dPNlPDXsPbX7FfvCH5ud0do7J3p9B9RNziuNG29a1r3ODs5Yn8kAaR3Tpg+7H6A+6Nv8uelXc3z+mjL7l0bO+RXSH8SJWL4T9j/6j/4j/Fv/1r/1Vrm//bf/Nv61f+1fw7/5b/6b+Bf+hX8Bf/zHfwwRwXVd+O//+/8e/+6/++/iv/lv/hsAwF/9q38V/8Q/8U9sdfx7/96/h//qv/qv8Hf+zt/Bv/wv/8v4L/6L/wL/2D/2j+H/+X/+H/yH/+F/iP/sP/vPAAD/zr/z7+Cv/JW/8iv1+JcljX/07NFlmhNLbZSrQbvH71956/NaL9e3xSVXbIut4QBGydul0N8nE6x3xPru6ARX3YELrAXFWr0CeKrt1pJQMpzxDd4tRYyIF1zjPoGtbutn1zfbITd3v8wMfvqBnbgCADXmOw8BKTCr4QUj218VH/G82mX+rDLqenrjVB8WrtMCou+EK4JrC8FH/Ul30wFZGHB+qmOeksttpM0B3jdW7ODjKbjoBKrQfSpzAZEG2onF4fkwYC+gJUBgntIU5DtYrS399JOPq30AdhimUeiH5hNwfCeSKPRj9idODH7Mk6/iDpqCRwnYF7y8kWI5OGR1qVHWAEC/S/QzO3gE+HAj50BP7iBNBoVXjPXiUzIOBWsno49BpWU+ua0CPmmUDX+sHeeD5LMbzG4ki3/aa5kONHe4AsAlF/QSfHxc+Ph42l05I/LXxKGKJy7Hcqh6N77pEX3AHKPYlR/8pA5W/q4RJguFNtYiwWZIi0K+GZzmsF/0qtCnGZqitliOdbewG9PsPO/gZHhl3Y0Wd8I6uJJx4ne2Zkct0a7Xcdl9qg+jF27DHNvBhz6YDhtcDsU1J9Pkv5ffd6rZoe795xOVKutu10vwfE7vk15IhrT43VJeVLG0N/YKO90Hv7JnPifNMR/3h98o2T7XEysmeTr7Su2JPau8u8Gdy6lYAHmUhlIfKmA9rINP6zIPcHlEjv/T9Qoh68mhW/Wc8Vy/+c7L1nnbrgDNuv0OVOf5L0PYmsxLzjrqcvS16CsLVuy4k/xcFHHHejzzdmxsJTUKcmjOE5HXY9096p/b9CZ8+SaXuCPYNuzNNjXuFdroymGx/qU2y3hMnW+ygotPMdDGvARePakJBB+JCDCdfjVuxrLqV0q0ZU5FXGLRVSZf81PFnp9pOByb8YzukDwk0fzpcHfPj7CT+Az8+CneWofTxjNXvNFiqjP3Oers5v2NfvojHRLjXmm8NOfxhSGAxjmYQSnjc7luBjjQO/AevXZt8GJVm69+x2q3uw/W4YjTrxVmu+fc+x3zxfkazwuGTemv470JiEnL1dZdbWb5OOVnZijRj4qCJJfQjAmC37r/sMoRLr/6p0m+RD9k8fDaVkonnuNyTmZUK31Mnq0PSescrkP4Rlo+JdXSR6H7bTHYynU29+ynrPKmQyE2YBLmQyZpmQu6bzQVpzk6HViTAgKZBw+2udD00VPdpOv5ud9qD/muUVg7fCK0OJfyhmIql+qhcorznbC1DVFsp1FJsVTFcraSszdO3CYHMHYcVQd6vbf1FYw1+SOH2e1EiqikFm1ILDoS25ZDABkrkpIOiZONYu8AzLC/VkYeNoRDJ0KuB6b1R+Mk1lCM9xKy4g7Sq7wLIwmLPjzSEJ9oxioX94Fj9c8fLMcszQ+fo7xJO9EjzmPGikJNlZ8Uecapc8K2PK/QefBHUH6aUwqEfR/8SZHk3HLmUjUczepFWvsFJeAWhtPbkXlCWvm5j3tb8RoPvytW/X7jS/K8c9wBK4KS9e2lLonCey1j2N+ON4+EJasDNWyy2+lC4xjTOE4Munzf4VrrW+h5BUretjOH78ASGY63JD9X/o2klXC50eQZhpSHnim1f0yNTOnstvScPv20cXcn+TrhSfkrThRhB7Ge0aE91mYq3wC2+b+tk3djVPqT1qVrxBCeu2WMKgx+32uyTTmVOiSe6S0tBg5Y72r0nwk36RVEj3XdokZc6Q6zpf43KfjjAR9p3FHw8Ur8EqzJxq/9LfUl+Fug3+O7f57p9+6I/V//1/817oQdY+BP//RP4xRql/7kT/4Ef/InfxK//9bf+lv4W3/rbwEA/uiP/gj/4D/4D+L//r//b/zZn/1Z5PnX//V/Hf/xf/wft/X98R//Mf7L//K/xL/6r/6r+G//2/8W//g//o/jH/qH/iH83b/7d/F8PqP8rxEm+ddMa2KbgDp59ZlBkjLNR949JFo1MhMzPRFymmCmbLLT9VV5IDHdTeEh5hxwl/76ghQbOe1CGsE8jJGLG3YWijMcepRXiDEuhrKUoPbkAzMtLxLCxpQkyGawxslmYv7ppK1gYzYKJIbWCfq9jRIu8MAYj6fSvE4FMbL9svAWN8B2UrYu9GyM9lp9jfw25pV+asiGYU4+4f6UPMLGt8IccrorUjyu7hQtc8vhCDS4IfOhMQZhbF4y6/jQXNaMl9zmzDt+Nwn0+nsfFkZGzfgTo2OFfLeG/kjnMz+16rC64a/YTszKc+YVIE4kuwOMFxcc79Wpdn1ICksq5qgSwnvUkwraAzdgWfG5Jr7EHLFquEyhl9joB71z55w/9/EEaMdywX/dDS7A+LjM+L3CkFadYaa+fXvOOa0zpKxYBIDH48K3xxOfAD6J4HM0yLV4NsY1wxz7aVYa/4uldSL6Bbc8DfeOBI5UVPoTnxQC2JnJNKiNThQpZJUIII8L8lBcn+ZgtqhHceLRGLiHbHd+G6dPvW91/mLnN+6YiDGsyhsrXBfVzXzQ4F7z2Gm0ME6lej4xT/pa/uDf7PgYVoRCZTq+BJIc3UEzbkz6JgpHgALXp1VOizouKxhJwR8rz4lJOTNw2Jr5xQxs3kR0I5tDvnhWDqejC6fhCAPSeCSc8FipBfMz4+GC8aMOhCrHCnyd4ehTunOSyif2zT7+rvCydJ+h6VHju/3+5g3RH8MFLD2F+bjLtKfDqG0/HP706afNSSZmHQzLELI2UnhF4IjLkIVPwp3nG6tcMoa4LdMFLgvLOz4VG11VvNhcGJ9Yc4umBVRsIYXKl3md+n6tVy4yt/4xz3HYSV9MRjPhLk0tEg8RRixg9vmh8T5dczHovfMb1ckPHpo2Az2N5/vmQAVIn8fO/xpHU0qJX/gE9rLnYq+S88HuTtxtrvF37z/IKSflHeMotZk3MP5IX0hOp8RbN9ohPrGpGvVZQ4uVv97RV7LrKi8t8Ihi6oNvOOHfPU17cgqvRWEDgRa7GKZzvev7tPum0E727QDZN5LhLry6PbEgBCeWYyQtwFIdDkv0w2nBnivpKqmd0i//S4umgii8LdY2uNpowtr3uR1OWP9deEfgEIi1jC5tawzcXuikWLZB4flpvE3OxAYitXFroiUke0+wnC1PIfwbH2744n1HDm3x9zpHo38+cNw3QVyTVJs4yPH8zioresHKw4Kq70LAEYPLbS4gfOOnchsXdsJNY635eeVZ78qQQj/pmddnen84wy5Zmyl9ooliGEzDN2OaDcmbdYfZYqkJm3xjKK4uhHKXOr7a8O2EJ74ayfMnmnJ6nDSz2SP8s+L3lWP+lBzm8myTRwTi7Rhvi2c3MEluPvO9Ur/z1ErKrD8arQvj7megJPgV0YK4UDAcvyUKeR3LdFClvnA2DkkbRTq+wXKmwBxrt5iyK14p6ZKPA25cBpmNI2Py4XktAuGk4f1J9+fPd1KXr3kW69an8VTSO066Up1v1Kct703a7LkDzHvB/dFWT4WtvDo5wfIa//pe51GCPQpX0VXC/1b4q2y8k2f2e4ts1I0RtXfSNZMTurIa70vVHd6kxaTzmN6U/S/NAPqco09/DvD4esShQ9t3MKbBwZFWkhxGM841vxdzntHQi+fnPFP9WFeB/BwW++eZfu+O2Ou60vf/7X/7327z/92/+3fj+z/8D//D+E/+k/8E/91/99/hf/gf/gf87//7/47/8//8P/GX/tJfwh//8R/jn/1n/1n8G//Gv4F/7p/7527r/Bf/xX8R/+P/+D/iT//0T/E3/+bfxN/5O38Hf+Wv/BX80//0P42/+lf/aoQv/kNJWSBmkqoGrVYidV3ZGFc4Yb/U6P58C6X7JqWnRa5XJ0JOoNlkjtM5xjxdmDNMdWE23n+ajcTMkvOOaaSw8ZVgKO1sAoH6yoovG/qMi1ywfG+Ukai3a8d1K3rud9qwPdbC2iVSXrp3zGRj8dhPuTTGgBKcd3XxZ9rB1gjuWr+UPvGOqhQ2kwWvIsK3pt3IwHJaueJajKG5o3DWoQoKT9xoGIrdKRN5sO+UVFjoW4KzSqbAm0ToXn3oOumHSc/RR3a0xZ20iEV5d27Ne0VnvlHGxNPQCUcoMTZ34uS3wO4jgdEEScbOWcippR/dYJhVOU4mkN1Cr3wfgZtqqOsl4XR0lIqNmSoofBTMGF73eqquEMWX7WQO34M7H8ZEviqg11g7aQE69YxFIzWVed+9dxwkx7fPGT6xKbpCII+MBwjm7m7vv7cZhICFO3uuQYfW7rMotc4bqlzxOeJ8XCgfhXoN0hMq57/pJIAYfU8cICrb7thUSfAoYOGWXZboWjyzQszL2AGUx0Bm+75TPDEhLHyPhd8UUsrneikDQ0dKDx5jH3cia8UKvw6jCUh/Xw7zVCK/zmHe9r3IIN/XcreIkhY1ansHmVrLcmjfqKeJXLHpAV4vORxn9bQJ7KI8XiaiHeBej+rgJ7mc2D7RIMvZ6A/J37r4lCBw2VbnmNW73QfG5UpXuo1tVWdzHBx1g9R+zuAymhek5rgW3l7xV8ZPefw0f1/jaLLMnKGVD9VFtWxIl45ZPWhoNkLnXk1+e5/m82N/ti30IY+9Ek7idGiiE93qmu/K8+r4QcYJKp7z4z3vYfyXwyhXwP3extRlQJw2XnKA6flH+kLS8gniX5UnVjl9V+eJdksbdWPtKqNpXBmeCu/m+Lqhu9o+YHQkk8fDNkts9rLzVDut7v0KvjqYX2VeVZ2UCwaL3tDIsqinpDjtyjB7n7fMq532WSN/U/6K7xuctnRhun7lT7Mfq94OL95+ug6BniW7WfryIdtK/7c1hipPt36c+Ups2HaCGfO7uhDb6nImhtCJuB0Ipg2iSPbXgr3SeuXA67n5+pdQPRkKSeG1T1fUkiKM/F2wv/PfZqvMTb80X0544foIL0lvYfvQ9emm+aMdVGEUkL1elSbK15W7a8fz+B22QOjuIjfl3O4ruv+wk7DXNZUav8omNob6OANz46zZq9283/olWI5rn+MxRqSD8DUqB7iDfzAqtcnn7T50btz9oLmqC5Z0vYjPA7Yvm/5sdonz3SLnwtZhPNHc9FOYt4n1zqLbnfJ17/L8ftEmsNt7Xlx0t9m5HRPgiS8AO68IPNNVTmX+d46boB1/P+wn0xXWeKivs4GeAzsSEp7nGLV4KjpHDGc9hamFJnDz+6Rz/JxE+PnSuwCqecTyT4HtDk/Kd4Tppo3TWvyd/hD8W3PeQGedow57oddwTDcbm6ptkKKZ+HvfqHzC903q7Jh0+pZgztcIaXrH7TH9recKdpIm3Zvr43TDI9aGb405WPvT6aKprDfzJt5SfTcO21pma0f2d/y8lk103s2dQiObjfOOnvAXnH7vjth/5B/5R17e9XpKf/kv/2X8tb/21/DX/tpf+8Vw/KP/6D+K//w//89/cT1/IemgV7Pg9JCwsWDDQs2z3ywcskN3W6yMicOM5DDJabdvgh0LHvVQdnZPF58iccNzlZHIk8LRPU2poMUouYABTe2sBVhTkEtYOh0WDonbjMU9wSUap6XU6vGdOC/DCTgc4ZRchrXviN0uIdeM942RdcyM8HA9KCwtNPTsaZTaqUtmZprbCQFEii232y0EK1Y/PF0fqx4vp4rknGE66xYxFEtBCIXaF9mLoEzJu890bOFMng8fX1s4GBp5ZzhehT6BuPMHgPqYXbJOnnrT7gwZWCffXBOpzjCH85IVctdPtvpAjWpYa9xFuurwDLPd6Rww+vYTpHY3qwLTGasIRTnue2X02UCOT1mnA70pm1vLwO7wvuhZH4B8o7EWQD/s94euUK0dAwkjnPpBY9nhc917SnkEC0dOB5dg/L3ZoeuPLuAhyyHroZgfijGw7uEBcBkzHfLEx8cFVQspC3PI6tz9LDJ3K3+3DrphPWTuhJZv0/D+/v2Bz2uxAYhCHtfkARb2TK+B4c61xcA7xC9cGJ0DmCeuH2oOfwEeCvndGnQRhTzU0CTLSWM09/i4Yhf27Ocww18tPLfxHBUopuaqxnv0KRhmRK0TC7rCYgGAbxAwepkOfE2kDUWc0o3duJ/ZqYoxT1CI8Tu9gPHd5sqw+2BJpgRPc6Xa+ecDUNFFo3GnLuFZ5hyf9/NK4DFg9r96R7N/H2us/UR+dY7lHc5WuBHbIpjjIJjhzj0U9GPiIEI4PW0ujzkH8Tn5zNavyntLBIGKv2SwuJHtp+I/Jt7laWMRlUqEYF0LAQ0bYPlUnvlJSl5oCToy/WB85qKJD40li1aG1YbLGZZ5HtrWT3pfHyuE7EtjxHUaZNnqcHGotrivnPms4ZlPHp4WccIoLSlonvNhwRH9c5zyRp3GwHNRdQ1JBmroRt7vojfURZ1A+yH0b+6EkYyHFreFiKBTowPmHxEh41ND99rWsx3cB3CJ4PFdMZ55AShUATrVuvQq49G8EbD2g9rgMt2CnM+pdBJPyxgSvfNcSYsFvNGK3sfpPBqbzcHBp+B9ccT17CpjQb+5PiFY6JnrqcnhIgVvrkc4S3N67LwxP9LrtMQ4ACybq6KS8ozrkKfjzTVLnWPAWjw7zD+unxfaXqZTPV2ey9yZsk7WienO6Qr3UBvVbBaa4zYn1B0a1vY7i1LpTuxhEQROsHp+C12+Vjf71DlVl+2LHU9p/s1B5QXGbaqdTn+wrlbajzzXytPBqCJTBsXmVeJtTX0ZLiwdguRBulKhnNDf4PHvNI7VnpVLphx5YEb7MXvPr7tYvh3NdUYFpfPmCGJH47LpNUWPSnD4VSZKvwVm2+d6og0B2ZRYulfAWXh7FPcNlvlZsmWtvvFT1il5cTgSRX0JvVEmnO6MnvaeIdP78SxE8CiA1n6k36SPXBbqutlctdmSF7JNP18mmez1uw2X0okhmDMsR0gCxlgbdlVnHrcfn88BOr8CYNqUl0f4mUytpWee92mTLjMAdnpekscWK1t8ku6+Jr69NjqL/j10tufje3mTRluGR3e8pbZAvKvMzwSb6/amO8daktlBAKZNx4lpvpFBKx8WHVi/2XknTgfsNOzqcz2neb61WWHcaAtxsvryDSEVL/Y+TpGDxoTHmPtZHZn+ivvOYHGTdFq21huypJYnPLI9H2ViQ39BSY2KYoW7tnE1z7SRAVrq7Wgf5dmdzNepP7hdNGnFnadNFBsWD5WOaFqo18NrE3XeV5hrvoNsaRPPv5+RWj8Bsx/Q90ZH4eiYMW6+5uJr6DC9ZYtutWCIz8NY1sgwAkSwCLerkj3k+Tq2r/QdXhF9RpvUbZ8ffIgASHZcNNvo5bNvq0Luc8LDCQdAr3O/oPFcntrpslvbrFtymbacCZTtSgxvv5Z5NW//QNLv3RH7I/2MJDvh+vOq18erbk4d5Pp8x+GA68sdnuQUBJYDlusjJdjDqNb6145p6lMD26kvCUYXsv6eBNDx7rYTAyj9CIYmmAsFZORUhTfVzz9VIyxpalM4T+6S67rRDz3AqyTotz4gFIDUBn9Wwd0wuU7oqMHfKgWO2wOON8ONYWVYtoIv3vPrRhFIAkPXECaHl7qw16PCnE52HgGgz7QacOoH3fvpyPWBD0HatFvpkOpkA8FPyAmwwhBbnvGJtaBNdbhx4+W2xWNr53q4ogQ7UWsv/BRBVXDX6sUsxEo3z9/DeLsxpxYCqt7Z1CqQjj/Pt+HMDReJV7PPs8zcrYy1sGEI4Ptiq+GjMGcu1vNhSBU34ATgtb0EcqfgVP6W7vHBjkcbaD7hKgBkXNBrAMznDK7TYoKHzvXQW9PZ6TgzB0lsglnIqGHMhWFl+q50gvybFWotn1xnWuwfpTvNfI5X1VClgpJWbL1hXTzDiYZ3lcf8U6Mvw/WFcLxWHTiJvMI7tnepjb0/nJfB7hT0rTjR2Z2cXNM4z61dTkvwk6MSTXTQyaqjsV/ytWN7Q1e3uDvJwkM7W2ra6aYX60F1YeeI/1JPtx75jqPgVMep3To2dxvTeiOr1PUOjIUPhP5YZGIKA2zG+yscHENN3ZRzpxYv4G/3YQO7vP9i8kW842JCyXeX7vtzP89zY10Ftb680fLcMDaaX+qYvH2f2o/0OqXxqDqFPX/rtP/PaNftsLTA5u85hLfD96KdyttqvS9Dd7+om+GIO7oUtKh6P59OvHdbYOvk0kkH9kd1rlaeLV+Yy1FOTL/7800bXOL8nGiPnvFv/74qo2eGt5aPFZ05lfdxIplRnUCu4wlgDiXX/W6mhB7f9HDVvoVxJaafdcJ+6fQbvZgTRZM+qkjGidNao0OKrs3b4k5j0kdFQdeTFDKtJyt1PfeTnDJowwePM5fbPEOlj/7d+3WYS8mp3OpeRU5t9bhS6m3vlSQ9RNwemTQjouFsdRtLRCzK0tr4yydl13O3E5b9seCVzCtfzPmI+OV5a79pHqX6AsdRUX6vBlfVAdxRGuia7Qf8sZk8l6v672mNib/XqwtOV2Xd6oLUd1HskY04n9sejX3Q8h8f46gXC99f0HGUxj75d6SG3C94Pc0RLsE6pM/TxtCpNmRiY7XvTJ8HocRrrMfEvOsmyzu/+XNj01VWNPLmpU1V5xN2+fbWnE38GPvY1Xq8P+/KfqLD1kfQ9bPCdJP31jFXywOpP7x5jds72pMv6acDpKnfn/sn/70o73XMd+c1+buU7oN9J/kBuioTv0gLchrXN1LSdU/jcGA9gXP+LQDKmkK7hneoj+H4OWsgf57phyP2N5iuh8xTpPXuLMB2DcFOa2RKq6GngtHSbpq88Gd1bWHkitF8EaNw3dR3U119fe7cYMZUwyjm/vDs2+uen6asXixJKRyqlymCcCpsdFqWd89qVi5cgZz9lXm3ncLCq1j7yMb+OgFD2klh4mnxuwh5P5EhhsMtrOawnXCEEzG41okI3Yz9tHDQKB2VkSqQ6CROrsTJHAvTirnTNNqnfl3f1jh3d4klPFd8EJybE6c7eeIM1+8EHEj1ApiLpPYuTsP57tcU6nP2b4VxtXLVCPFExsy8I9YRuvoRO1K5Xq+P70t1aeX3wTrXdkXeTw+Sw0jj7lrCHaz9D51z9rvETrq4F/aJcL7KRfch2glW+cz0kk5mlRM5+JjloBaKTcTG3+5u9V3vF1boXDfugQgxkvpaw2jYScUwhgdih7SHPIq7cQfSvaA6FNcfYU/JogCu78Put51G8OPjwsfHhesSPD8HZCgejyvtbHaD2UMTj3HhYTuaP58j7gGaZVbYKa9DOJSt7+KVNVbq40h8I8b7Esh3zFOdf0TedcejnY4ejif1Nq+181oknMXiJzcF876jWBTA4oekrcoD81StnczUh5/ixr4j2fuIeY8whgYt+Oc8zUnj7gsNzqu7uWd9DnIiRdDntXqYXi116KpHnoB8p7LEk+Lkn58uvfyEpmB815Bd+mGLDN/FTqIagdsp6gnjBX0K8DnSeHlI6HTf1LMez7BxfI7VT7q7WlI/J13IZfdO6oosERgYq58uy+Nkns8xQvWEgXDH8xeLx4rjWVf42sDhB2KndXoHRISKoADmPVV27WjZ5a+/89OmfpqwysKlQmQ7wmnBy1zAtrvVT8UQ3hdvz/C1hnynH9CJ2dbB5nTJcrKOzxJLqVyXN4aLTiMyzEL4qncadk6JKtcTIPU3tZUWwLHyCQAx3YhPqQF+SikTRjoVijXu25hzXl11z99axqXcA2W40EE6suTn9R7DdJ1I6fe6j9phoXepEoJdEaf0/BRB3fF/XMCJPtBznwOCEHCVHtxhlpwmpHdz22Da8GflpLUOwfVh9T412pjv8pj8IRnUf/DpZszjU5B5QeVPXAfzQmCf72jGp8wfr0dFYqy3vN0YOw1sdq6BFfOITt9uTPN1qvaYxNGI+XvQuxb22qaYPcBw3dUhzXerZyunhc9S+9sC3FFuOj8KcT3ZS5Fb20Lbi9SVS4uoqW80z5mPmBxMfenknstmg03HzdBrhiPqIT7osjDw6nJfME/eBCzzZbrHO3XKGuJoSZXkxewjph/XCUOHsC/F5nLbSrmsdUoeM4Tp9dNjRWDyDrq++DnDkk7dmwbfonMAgAxzxj4RV9YE3q4VFSOFb5Y9rOjE83qoQwFfh/FoKnb/I4YNMEd+8KKO/0E4ErUrcQw3EdGDgKi4TMBhlW343QS4/C62iIxl3/lGVp+y7mz1T7epxpgRlh6PCx/2/TIiHuMyvUWhtoa2yikuP7brsJnNFVGkCo/nfsjTxxw5bzc3PWrUozhZB4XI3XiVfdjYzI0AYzqALaKQAnOtRBX4kHRlklIUmk0/Dweu64II2uW5rIJ1grxzamzrUa5T8lytG3uw+IyXuTDnoDvZmW8a/4iloLRmOssqlKKEETzl9DtE6dmK6lDvGObvLROs6yrMV10/vkjmDczTxqUK7lfg297z3I8xcf7J7Rb44vQttwNkffHksPbx/xWTZHAW72tOD2/6/0WFTN9J6zdAPz5KeRRrLZzlFXa9ZwGCPJYNTjZ93vFc4anzmtqra7AJ99xHze2kPMB+armBI50Qberwu4KPQt9w2fV7VkAbaudymJ8tWGumnVOVeOz+rgkf3eHl59Ksi+yBxN/SmhXD2FXBelTTl2STR6HzpuZNdy7PHTYp7Tmek/1R67tpp890U+b3nH44Yn/D6ejVPylTv1JKTtgkYM6JQ8bFM4EZHBrG9MudCsE473c2c+x43bj4Xp9/3xQGhimYx1SyxJxLEd6XmEbU3QmuBB/CyIuFbsn5HJZZVT5xce4/zgypJu3xOds0JY1lmuayb9MZKR3Kv1HGXEp+qr86awOMV3RTlXf/qTuajvVUZanAltrZ6uTQO/N35L/Dm7+vOHdAhTouasbXSVpVmIDwVNk8DgesOa/FjFzffOCOQK4zn3wncNx4J3yJaTO+ABXOUi0nf5Ng5YFedW1G8h0dqneiPB7mJLvlo3Sy07QGd6I6b5FCNPGeHg/RdBI257emOiUt8FetgHOKhfuoJ2tSHD5LCClp9zV8nu27mm/hEavHFk7YcdotPAGKuIP71D2mCVbYRhnTEx+xz+AbwzJbg71I4LDu6J2+nlOwdvUTqrUsBrR0pljzNgZM87hzQ0znoiv0V+XFiu00rwLtWDr8L2UGK9D0m9/HRqEYJ8NBh7tXeLFPlj3VSfRKFm4b0E7tMDwHWV7p08e7NVA2OM6wvmvI3OU92p3t3D3U8QqG24yliTf1j20x/gt6SypSdLk5XpLzlrnQwRAO9Bcw379/txN7YgfI6f1shJ81MtLz6Bv60VfSDT1UZ+wGz01iGNNYoIH9K3TyI71OhM8jb2/y/mptn+r23/X5eJcp/UyQaP4d56LxWy28RVs+ZN0kVahvGCdl5Es8u8J51JG67KwIJB6zcBHzsaOFF3Dui543ZVwtkn4MtmddXw8y9C25doAtyptdEayus0e6+tj+q8xZAFsdSM/aellfQamrdLLaKF9KBQcSg7JsDeja8BfXKsRGWdn1zk2PsytRLLIOBuxaDw3FNfAi6B2H0VdkZ/Qv4VnMgxh2H7uieKVQvFHHavw0DityktpvHrtSnS1I5dOPIGF50Hlv5lqywTvYWdl1e0FW3zebN57nuoIPirlLBLGR3O3xGOdS16ong5fWzgKmbRbl3lWeUsa56iPiNRxkQeRjWMgGahWwhqbEnapmwG+qZAC9YGEn7PwtX5vvX9TV3k1Hnu3zp7ZZaGXivTO80I/DEZCC/tL25nziPHftFL5SHXtv13OXTmPzAgftmmqF6ZDWXGryfxX3G2A37cd46P78XXndlX8BRztuVh+v1Wd5d6gT6K874GxK8+AXpC+dkn1V1yv8sqx5V3865P9q+b5SA0vo96/Mv/6i0g9H7G81ld02ldnPRWNZjKSJIx4hSbe6OZPd/XUB9b7W2c4KMVnvvPE20qcr1cHQSEE9GS7ULwDwHc6xcxd73yJe/FjvfHcL9431JK1MlPOxcmb1jqfi8VOxoax/0jh96u7n6dDSuQuUdn5t4ZkrSpjxOExl94iX99Ms865PGh8vBxurTtHxNjT2F8WYiaI/hUr4UqODfHJolam7drZd9Z5Xym9gnkCTVScvDCidxIp74h65PT5dId7+oziCXBGxE3RxshWyJMnFmbGMAKM14QpDSZD1OxRvqzf6oQuwJ+Zu09/NxuJEnJ1sTEa9F6/36BScylPifs2JJ4F8+im5lTfu1bMu1tPFPCY1VPH4BPSJuLeTDR1RifuLr8vG7HdAug9Jke8DUjoZyc7gKoj9dHosBNiGB7tv1Xd0p/uNYmrQzuAIG7XaBxTXNfB8AiKKj2857qQ7Mn2H6hiKMWaepyHmYadfPd+wHc6fnw98fp/EK7a7eB7uH+vOWjHajx/eMMkDf1WZu2CesBzzNKzfOaTX2l56Ob7N2fwwR3+EWraTutdzLKeyzr5UXi1jthX0qoj7gea9qog5ZrcX0+IW0ilYrfdAOY3EiUpd98k4n6GTxDGeYjDwKQtnhoZG+gl56rzXVJBO8Urtq09fu4eZw+7rp0w8OIyDGnK8ON6d1wzdxjQlAeSx+EHcLSuYpx18fn+XrPQOYhMKCDTuaA/+fvkJ9iB5uM2vJ3gcjw6GYp6YsDvtZphJSX0OeK1i+ZRc3r8/Sxmlu2FB8o9lwDCewvLDX1+5LGr50pdwLPkCYcgvowuX91jP6ynSdkGC5Z+3I0ZzvgHGccOnOQ/1HY3Drl9Wd9UxkpFZ4GeZX438pSHM90pyuNYd64S1HgaT5Tif5i4wy1XpmevwOT1z1FNKEc2h8EohfC9dRLd3wWvTqiA2PS/G+YoCua9OR84LhWDnjWdWlw6JCCc61v3Etd7QRa+9P3GitFuwsGma7p1KABPrHGv+1Q2PvBiRFkaon11I1tmmxvc2kgvXhcN8+JH2FPK2PC7yDMBOp0K85018t/TzxbFKEZgavWZTcwoffBViXO2Uot/BCtGpEwtWpKTSWOTFvLM47JeSd+kCpg96KFviCeOZ+cW2+Bk0Lumd+CklPiHK77m8808+FdPpiF6c6MQjV0Y18ZD0kyJXOCV7jj8BuG3pumDIDIP/Mjme7sBmGN9JxkOqnlD3t71FqwZXslUvoC6Iur0hTyx9k+rYw/S6gHVFi5xi3e4h/3S9kTYJqtOwzGcRrEJJRm/9JFqKNRqjt7B5La/LkudcV+CIao7rYdGW0MmQAwgLlqUz6seKIuG2jz6Qo1WFDmmE+lByBhLsJ50p2qVPRTgK/RmHMuYoS+o6vd+1qpgnBpOjWGIs/JQsgDjV6n8cSenT7DK307yqMS6MMe+KVSO8qS5Muy5IXJDpLCmkDT4U82Qs2x1mw/mGAwyFfJuGvp/G9FO9sz+myzhvfBQCsH5CZuSkWafhLKJjyYSb5xXxwEpr0Sfngw8bO7P3XZ3gsa0K37ZMo3YHtBpPcl7+ipZFI3+0Jw7sgWcRr55407UJwceQHN5cb7Bho6Okd9pYdI79BPLwCixkeZ0rihVVCYg10MT3CaZ0WvY0112XwBpD188n/jSvHVKkjCrfUyp9bPm60Y2zWxgPZ1uAbRVeb93kLPe9zKkaOZLDZIttONGxw5uqZX7fyPPoo+UJll3shtDZqV+1vbSGenDwVVme5s3I727HifIFi2UfAb+v+fkR0aHfwftOCvvKCoSNf/WnXE/X/G31lkgcwE5/UsZgvaBPtnlchPG6K/ej4ysuiohWOx1fRbZxq/XkTQVlHjb92/rj/S1NxDpAbfsAd2SXPU+ItgMoKuivCPoDST8csb/F1BiWTKx1oaMukLQOx00AWGizkwILYl4+GXC+5yc/dGbUcdYFf1Iq2mM8PWyLOZWXuhRrrVzB+1EYDztgo5/uV2gr6eutl4z7c7+vDGhOuZ4YddSZYU7oqEI1MV9naL7zkLITc00LL447Dq8QeU2YbUSEhq6oW8yEpfx2xt0oOKlfzXiFkfy5nrVwVPJo6c7akum4S85YBSK8sG9SYMXGldpXqVNYKiwCyGOGKoKFg5IP2E5SrDt/ipO3M7bcyIkTsIbDWLBNY2vlyPj2BaBNWfM8Y43buLB2CMt09KrMsRkquMLYNSMVfsK8GyD+s3ddWBp3qpXTgJP2nIalr0+nAac17FKpezpZEXf8+DMA+50+jh4ztB+G1CeAFOYXmOF8ZTphBbB7VzkEPWk0ykZpvYO1gd3Kj8cKizXhsvlLMEf2uK9o9U0EuC7fuYxlALLWTzDIULtDC+s5O9gF5iBc2r0vcAHIhq3lX2GfnA6Qd1U/6Z5Gx8uY8xhs3LtzhiIyQGWdtPXxZpnqmxUEG4mmkEm2GJDuF7MxAI+Vz0lb9HCHd02bIV345fotkO8jwowDc04CO96mLLAdnzaM42rkCdA8eJEILpYZnXxNRlslo4KKzjmT6iVWKFhyAvy6kzmnVPkwGbmu37Q6ltPMoc5tc5zTkwrUDUKvh5xpgU9uC8j0XmA/LTIrlUsLXC6nG/lRx4oXAtCVqWU5L39Wdk/hfVkc1P7O702ElCLLvazD6joob9ZDeZeq6+T0oZ20uOTV2saAFEGCZWjwB6HFIOs/5jM3nGsUCocvG835c6MZIf65Ha3hCrDTEPM/jxBD9Mf8uwsLm3RLRoHziAtrY80Wupl+13n8I72XGprdsjT8hBcl54PX5d9Op/wy+WsstNVQIzdtvnsyPdkl/Js2oQaYzUbgO3TGXLO+RB++gKA2WhGPQaOLpDUBa7ubwz8rHfBaeXRNSdYsD2HwtzoOM3P+u3XA3rx7yyFIuLwdnkwQR3zczrEO/0Iv0yo51aXYkeAbeb886d5IQbMZhtiUBSS7URRrE/Q7ultJYfPHXLeCA6Hfu42w3fPKsP55Jh8DsyWVZVyVddapOf8P86Yhaj7VWFU6AJt96o53cZnsNobjkAFiPl7ezbnI+gAVEoSDOdmEfJVOB0/0KcM7azUiKhGR5hzcmVpEofLmmOew/Vv4Y3ru15dt/VyImHeYU92WZ7NVkuB4wZ9eJFGEYxVuV7sjfFDfii6qO+JSvScnbNSHUp+vdyWesxcNG6sQqE/Z2/aiEgReN9vF+rp1qfUg5p+3XS79cd25q/ZlfVUn8u9U/ufSRHIwFTpr4ehwzuOrb4qIKl46uscv69uW3tAl32nrZf/SVJH8rOAwOWBf9LXqxu/gubVl3kj5Sg+usDbwXn0/N0mlydLnL+lR7+SnfKfntXw8O82PP4D0wxH7G0yhzDbMg5klM4bqtNsWOKI8PbP61Ot45HzsWOwcjZ3CrSKxMD/8vS86stA/9n21cTzp66EELruri07qzdNu65TQnSDhUy2r8vWphNe5s8kMhI0TENwVTsazOM6WwpVPgxTtnsa9+kCSchp9J9ph8KwPZ+ekwLZubn2YeRoENsK/lo622DGiWAvnB2VjU/rc0VxOX6di3jcD4uLTOoaT4fdZlhO1c2fhUoTDGStYJ/XcucLVftA7lXWfTqOwie1+XGUyfGluuBPFlATl9x9X3LmyKe+Go3kKVux0q2B8x3LKPh2eqvgWfPKdw8RTIHY/n88L69/4JPwPQHwx2RakLsi6i9Oea4Wd+/koeFLrm4cKB+Ke3HDIlrzAwuWG66dAv9uEsbbcAB2ieDx857KBwVOTeMB1ybz71J5PuC6IKJ7PEffH+q7idcpxLv5d3x90v5Ej32HEni6JsfTuRFmnWR+npzMEM5Z90V8QjtoxdN6F+xzmUJfV33EB1wgnn5d3x6w6HfouagCwRYtkbALbCW4VRL2iiF3+de7oh+Zx9ed8CkHomSw8gOZxnGB9OhNa9V3fFvGzsy/J1BJyH76Lmk7yylP2k70B32LkKZi+4cjv2N0WVNgJHpslZC2EcV5gnpIFyo7LpdRvycGqJzpkz78tgvPJwRMvcd5NJ/E7Jyu3IZ+E7w4Gk/d+apZ5E2Dv3QHHfdHJ1zYeXeVl2aWf9S81frf0EnbiRwEBrg+qQ3N9F2yx3/mwYNv4kuQ11b85OwlmX3C47JRRG9WiyNiAH1gbFzZhfqpH6Kem+nz9rabVj8XjtwUS1ns69cPGsVs8yAsaedPHbshK1HdPl9o+XxlgC3u6jWO+u34BoIItBKuQruw4GZ+5bxXWoB/pecJ2xw85v7t+BMyeRxeu2RBeO61lw8l2qpg+Bdhp+VV6N9/fz0kkTnjGwoQlth8q/5Ca56vpF4zNdheY03EoMpgRhepJBqcn1NO0RIuH/scf99d5lU4+tni6pDsrW3tRsU77eIQiezltVPQnyoNfStTjtkqUcUcL9w+L74nS+6bPbBdx/47OsgMfrvZ0Wrws+Z1nsFxWYmhiJ5Sr/Lo+clsJLJYHBU6HI1LVZYjmj6H+quygcUh6hY2vkr6dgGzlfcnn+ly0J7uuzzRcnZEKJPuJPNx+tUq6g7LK7qqvxaY9c85YNBt5rohKcTLW9JXxOfHhpxTZJgn8dfMMiGgmapt4VQC1yCrXN8UwG2KaBBL0mxarXqULycmnfvLT+yvIG3lrlX6aM42bpGd6SWxCVgEeD78TFnT6deYdYyGHHZzetF9rk1UXxcM2Z1+XnagF7A7PBrGnxOPtYPwONpAavA2Y9qk8CqcSPxErwLjmmAzvVw5XrCbcY8gcxYpZNwCVYflsfYx4gcRalA81Ma86v5iuqwzi/J1eCET0oKmHrbzq+mIoKw1OFdlGCf3OHl3lnR8cVqO7p/FER5qXpYU0vQSX2U2+ET+HgTYachh9raMqVT6/nd5tboNtTuNpsX7I5FXX64h1sb3sXeHfG87sUyFpXXjJE9nwx9TIuvxal1h/QnhubZaok8iikXlbP3TPM8tKosuwARp5Mic64aKRcykx25c8rLvj+qYeMH7ri/Ks6A/d8/S+klzXjs/t6j8osLDduMH4IiVY1doSHx8eT9kiOW1je+orsozLelDxcVg/eHPpppvS923NgWGT8rxETgGQIxh6ncV38pbDtGyC3Oy0Mj51/nep0nkdq/ikPnEZLX132bFFgXJ2/aZY/ItMPxyxv8Hki2msc/qklzjZI5noZBGiL0QuQ9vvHdVM8EAIx7R4xg4YNwoLd7xbtHJhBKANBZDCORxOwt6Fm5o8Vk3BIOVsWKvVOG0SO1lX5fl9hOcQW9Af/b0M3ekIVm7WMztBpU3bDQxbPlJYAn4qN0O+KAaPjTMuL3/V8LySBMrbC2MMY/vCPgfyYou/K3SNikMpvzkCTlGwGPZg3h8zTyjLfgpsrN2g7hyF2inADwPGHX4PXUqWO1hceWUnop1a9ZOsqY+hIJLhzA6jk9RQQw5/Rltz8LeTeIbQMJ7dYWNOG74Xtjo6Fg67E9Hlt+RTRuEckRVlJxT7T0ynrGCGe4qVHIQza/Iu3Q1nSuvOIh54LDzWyVvoY80BW5h/Ou7EkKNrJ/CYYX05nFRU7YaC1Xddy0h23IgIRATXNXBdYs5NM9IfOg34pznfPiVoih3TYoiMuytojMLo8smn86U8VggpqEx/twqGOYbXAgDCEfsYF0QEn98fEVIKmDh4PBRPXBDk1Sv1ELNPmX/fgPFhDmbfPCCY/XvOfDkMmMsw++mnSgczIix6j3nEzJGG3E/Cev54b3KA58e16gq6KCFSk3LpbZNDX4TCUznt+il0IUlZ6+mSGh04LkXT/bZaxxywkMAAh3YOMVgWxI58veoBd0mw8Na9vmhoXCST7Ipw1Q7HTT1pwwjJT+ZBonMOrYUNoydzavH1CN5XXmSQa4VS30IeC7LxJus961Tjc8pRfRB9RX9hi4q5/OKfNsSXLdRb2TocgSaGxV/o6o+OBqWy+lzT0VBxfFP93HfeHNjVodSHgNflthzaJd4s1GbwEGI96VSsj2XwvxnmEsgwBP1fkxesubkjZupGkvFs7XKbUcUg/DvNgE72ETCzL5Lnx1gbxhYtr3e+AD0uTeO/LXoTbjcU1wUCINOEs9cqPn0uFYe3pDyEJ+ab/j3mU4GV2ubUnnruYP6Rjsl1Gr/zPj2Hjd+BB9fFj91u+xos1c67O73q16fEAhqIH1Af7mDoaGdb9GEVgqepFpSwHOAoGF1aLCk2/3gEnVgcGthCp92d8N/mQtN2hCaP1ThJawY578JpAIv1/YRXfh6quwIzqo0knrDkHF1tA0J7xXFqCNH/Dc9VVznqUljhS7lainDxbhJFivISC/SFr+8FuQJD1ia7iWAq/PY5HZCa20mD2yHKmg59gYCtG1Kd1pS+0/PQhdOmXixH7HcD4YG58bZuDAQ2G5PlfKyvABam1drzMMBPgTyMzgJGr+hASIlWJfcpfWoeg06XGRrjcMxnAlqNYenwa2jEwJzvw4npzdOkElEMsTzNeEow7MK4+KQX6RQT9gZW18UuXw/SvGHB7EMZE54dBqx+2BqJl9lh1mVLkuBZeacHP9k2cc2M2YnMVPQmcl83h2i8lezHsD+V3jluhJ7FuNvYdnKH57Fk/azaE95Ecs4plv1G7aZO6kTVdAybLIKfiEY4Yd2/0y57ug0Za0n2ne0nno+kGyTHRsUB84zV1D7XNpxhyYyrQ+zitbWeTRYR70plqF+13AbvAdZ0pcmpHn9XyrPz7eVaN9fzxXSaE5vz7Cv1demd52Vs4lOBuon1JVxCMvu0cYqbrqLN6RcoPA5Hm5jpJ/HPOr6aP7Mzdu9HxsuLjida722hrq+xzkJ+F17D2GAsdLPp1U1Emle69wZb4YVJvFU+eVNvpWW3O1mXTu9OtPp7Tj8csb/BdNkCTRV8U06T8C4TLPGL5iRpenbDXMMofirt5l/ChY3TuvM9GK8gFp7kU1dZy9PBsO1sBjIzKlZQha1LvrDqzqJ3092CcWWw7eQfB7gCv+c6mLHML3u+qviFIkV0EfThDIpPWTNIRXD6902JsDHdFMqCJxYOANHISQACQBW411IMpaMXVpK6cQ1lm8rWvsuCM3Y4VyPGGwkBZl+qgS1KJ/K834Il3O2d77S0k9ssjPQqJ+N8JUqA5FAaCnzQqcMAde4m5rthOUTxrqjuSmJ7gorwZV2dWS7uvm32oN38kAmDfAoG1O6CIiHv4VqBZSSF48UJHfmz+/5C+nZzyw0hFQW+D2DMu3dkKJ5jEaMbn3UXsxs9y/FaFBeFOTutq+aw3WD1seh2Z8vMwPeNhYHwjehtLLEAQYQ9Hnb6NkIUx65auvPHij0+rnTXlJ/gHWN2hu/FdVqFAHjouu/0qCWWfpWkfPpZcFiAojoFRjv2mjXvatw1cz4UfaffEz9n/lbrrDDaOKjouvsn2if4dMIt7rh2fmHluW4lQx0PpZDjREfOIwk9DJMCeWMO46DM8zpP4nXD40+pOoHnfULl3qci32JnI/Mqy9vxIl4g3yKHAOBgk9FudXB53htDL+RhyNCFoHZB1uu306jXQft2Hjmvlp5jOqDh7O4WfUQRO3ljgQTYFp79/awT2YFe6bW0UVM4VtX63pz27q6qmM9XO50xNT/nOG078EsZzt/BiFJ/m/jkK891npvWnwiNVxywcS8x5YeanOVJWOlFFi0p9W8TW9FPeqTrczN0GYabrnPdUX+hs+37lfldDA+x6hWaeMHRtfcu77iNvPIjvZWYb6eNCEW+JbbVob2ObZO+6hgNZ2yRt9zezFjq7e71umlni0R0Lmrv5+RK/hIFwIthsuOwm4+X94VlEvW3W4yrEavcsSOXQtyxW+dnkY3bNUJVljdyheWnUl63NxS6TkPdpUJj26L4Jp9ke5b608mzV3yAZUuxrwMX9QQVyvsmHeknjYeFroUsvvnOiuBJx93aYQICCdL526PshLMFiPs9lQfWYTrYy7GZ8AnIUzB8Ey9fgREbGb0MQgbWtaBNLtg4KtYVNiFbAzw7DfuBuYHVHL1T3yPeUTYhtrpixS8zRn4e2X0csZxkSu/iFGqjB4VdKMm+6jbu1zIXMROvnTf2xonYqyirokjrgQ9m/vR5IkVFRFISoyOh38l/UvtVdMF18ldxmV1Vw+WyfQkxLd3sS140Uta7Bv32ZDbFapw+O53K6S4ie0jGC2/kLfw6TudWeeVzXdCeRot89RnLDfXfzdwuOIt1Er6X2Oqo60Dx/iInrP3GU1ZEpa4c41DWlTazPO7p6S7xPLONuzJAunbJRzhKKKHf1U6Uy2wqztPxhQCkvOtweFfPXb2CdaXTISU71EWiAOleWcK3XlgbI/39G3rarfwusns7TPSqfMnX6Zl71JK+/brm0Lbt5Std3MHW0ZIiw0TZwlbjcvyOwZnMutWzExh1I2KH75o6nsEHq16kZHf7HGk2MdUxm00WAWDv3sK55LzJAUvz6FiXT5uun3SYrR2L0g/XZX/f6Ycj9jeY9CG4PqYiHCcvTNgn4g5FVpdCO2Z5JkQxBp4ubsZ6H+2WCePKN4e7cqMxnZAlLsYTXR+I8JDCjCDak9wHkBBq5o48NU69pntiiVG5PpcWuLk/sk7DVNi5P3EyQTAXzk0JCSc1iKEVoT1Pga5Kl5EssRAcgicpPtS+G3ZNmLswNhl+7/NYp2wCF4PxszNYx9vRYWrwXN9G2i3EDL5bDHZDv71PTVZ59V2wQFYsyIGoD8xTrh18n8gLOUzTHh4yTuboNt7Rp4HtJGZIBKWG7WRj3Ol6yVQo2RACzHFiHfUF6u/zi367Vp9FZx3fbaCsjO9Q3fr0UOgfPadj7vvIDvYLGD/ZadhP6+5z0ZsrI+OpSTGJU8I+pkWYhhCleZ5OrgnotO7KF2SqMkPAEr1aw8mhGOGG/XRx4x0KI7kZ89a5tK2gzTrmmqADOh3b+pgOWb1k3x0siscDyRkLrLBTbrxeZjB7SOLphB3hCE39UokFkFhcKDt158lszNDOFsIr6OfjImNaA+bxuPDxsRA04XrMfj0ucs4OiCj+0u++AwC+Px8pHLOfpH0+BdfngzYLSNx3Kh8Xhkyes5yHZmj7PK6rvzRmcfKcxzrCrnF+zSGYo3P22k8WPxiHGmM++ZQtbn5auDUaCqeTOO3KTsEqJ51X6Oybilo4M0A+R+6XyzmnaT+NafQiY52KTLLENzPYood+xzxVfiHTucHaLkRpec7kfK02gtZoUWFzzhBfqAbVyeBNC3eHlBywjG91Z2WR50CcOp35aIE/upl5xFDXfyTjxTe91VOGwNQ3YPJ7UJua8cH9uH4HfP4lrEgQjW7hush1AQ/XLTDltodb3nDo9E4shOdAXfAJ3lyaTmPNeWkHeJqqPg3rookinJqsN/Li6tS15kuXN67DxiY6CMZz1uPhlF2vi1O4FYUGn9ezhTc1WObvFb0hokKoTrjsWXUcxL21F/025F0fsupXTSdGtxN0VdfWdVeib7RMIdjK/E+LU4KEC3aSB6ygMa1zPup3AtLFR07zFq4rS/Rz1u1jKes3N1eisHj/0u8ucR4FPJIP9+tHukkRCaAqQSUfzVN+lhZI6rjVupb6svGK2tbtmHdFrA9vLfpsZXWjnQTLsb35vW2yoeXWdiMerZ9UzHlZXYiLuZpbFdXQ89Z4rrlWQxxHlTQmNUt3KnSd9F32bCyeCmBBFqO/LWoSn8knYSsyW+f1IR9KPrYXb5O4XmabQkEsz+rla1l+thN2k9EratZ9hVVpKkAkncvwr1j1sp7j14KY/XR9l2kTPnTqv8pjaMTpG/lSkxaNyN7xRl6+BiPGlj6djodt+gWwOcKDvoesE0nWDZf3FrBiwhMbTmfkk8t1bacLdnCIj7XkMRGgRllKmzSLzA8ZywpWkaHikdF8kjeTYm3QxXbytTomnTVe9vzD7EgOUewbga+LFo78ufhamM9Rq7/aAs4+TnNYYHSEsPc4ghLDvd5pvMtRo8RIrdB6Kxt0OXRNIClGnI6FwCIslTFhJafyX97w7s99Xcbpvp7UrlfaKKYNyDRc1jXmJhXTTXjzoeepbIDb6ja3ePubzjjHXOy98GYEYDn7jLmydEgnYYHphP1pzhV5ysZ+lhMGS0cw+ls6/3rXOUI62ZPmmX2K/x7lnSd63l63Qd8ZtmTzaPlLwCKNJ9fTXRHT1uHNVD1YsDY5nVLFOdHNVUPnep4LM4Iab1Rg+Jo2mF29q4edYL+VmR2/qc/9UYn0IbTpk9covfy+tlzW362et/VMRfZTCJFDkltY88D7wrAB4IhDrY5U4dpkFNHO9o4/s0/nVf+WrFywpSipNzSzqiBa86p7sdeDkdWMzWa9TQceMstrno+V1pzuX+HpLzD9cMT+RpMbo1WwvTsRghBvBMiskMrU5x1zq0zlnbr9jh8B1mJeX7A7kt9NKFEPf5KB3/IWGFtF4QS+M8L3su/li+PxdYH5cTLYUx1Fiah1ePu9cFgFWfk60lbS7F50pChsbOQc86orjVkAd3k5z1eEQguqazGsILpTpRUEkvMLINAwpI6JhWJbd+lIzaMSd2geN/foAk8UyxDx3y+UyYT3JPSQ+htjUHZUCmabek3yUt8VKxZpypW7gRQCN+EIOMKX8tc8kkP4RjapX26qdOfiE1AZk189dBpx4uGjkIxQACUk8SJ0VX+3djTPcQSdLLW8Mk/VojrdBUinPRnw0iVxQ7rtadN3WxjgvjAd094RC9M8tmus3IBPzx5L8KgijM55xxtpebV/TmzbXEAuw7zEhVzttDTlKPmCWXufa2SqCrfDu9cdfXCHc5Kd/nvm8dBgcSeu71rmTRsxz2bZAMMXyspcdtRtBqNi29m/cADjX5TXszGO39E17gzOynOKPH25uFp5j38vZdlhI6W9WY1kuqgwYH+XTnCd+iLp53LSC1aUBX/PpziGVfdYvzc56bDf7ZptUsdeex3KX67PW/nPeW/q9bon2Z/DzcLeB01Iee707XiX6VTdaqvjnX7LEtmmV3F4466ebVPXCSdHWQW0p744y2E+HlOhjW3B4FBvwBr1aOS7XTggfSKcAQFrBnTb7c36zk066W7rni1Jef+QDOvffHqDr7epGYO0gGt1v5r3d8mdgEyru873NRjDxhDEhmWHddKq4qhcV76MMl/lIHf8eXzPJ0O+kgJ+APWaoJ+VqpxpeEmMA4wH8PuKqxdh917O3UZmtzg61ZN4nLQ6QIXH9aaunuovTU5klbX+8Go8nU5Yz616/rPkT/w8479L8+7QFwzS2z3JJdcV3eFanbCNA3bJeP9t8tUj79QIaCRzgoyuNUdivcLtSL5WCBLhi9PpxaqAtQia5ZNz8CZv+qzvFBHxxnWWekqR7T4AyQnb2Vv+7qnrbtVqmy3d3Mpw9CxvV8zG6vS1G10FbrsWgbymuMZvt3M9BLNHfuLkm4/FYXKOxbA4w4y5bsQU9/gij1XS0cv8Cf5K9fEmd9B3X5DQUh7l+0EXJ3TEs6Sb3OjKG8w1f1P3fOYO1swc3AmrV62kqTM5bBudsbKxRh5wfS3v5LKMxzvRcNBdt6XGpp5qv9RobifYX80JHs+vrC/m6I1eWWmnG1+ANqBibQTfAMMaQ9PJY7NRqgw97RY5/1V9+jb/Nkd/QZJ7kpmwTP7RrRdvulihx+5U6N1a8snWqu92IF91AtnOYfJJzurdCXvyiaTfdV3mbk5vdb3O0+nFJ90CN/g90YtWGv7CXPxDSz8csb/BNHf2aOzIiOf2u3WwOgPHej6emt5HHSBBc5EC7YZiVVKq4L7UHDGLofmpg3S3VDm54/fnOIynO3C2etPpUlLebdfk5eFy68KN9/eiOy2lYWLe38rMMU90iGra4ey4msyFmLrQO+6XLPyEEgOCw59dhdPQOOTdMfS+S467h1XhJ460lCcYVPNJ2tQPwhnfBxh1FYUpTpk8kU7j1rrCsDOnXe2rfw9S/Dwojdw8nY5pFzfdSMLqaNT5nI4y+cA6Ges45jChMht4PC48n36KlfP4fMqOUx2aOXKrLOikd6/D7hPFU+ZJuo9rGTbI5WOn41PSKbPAsfdTCa9VkdGCYzKILztdPD4JlUL1CfD4rmuODrvnx3fefxdcD10haWhxQh8a8Cd4eAGjjmXaTanzTqdq4PmigDmO9wU467MA+Mk68ZPB9KF4frsg3y58/KXvEa5XBOleWACtg/b5XA5Xd8Zen0QvDuvwU8G63lF//RQkMPFUQ9hCptP48bhSexwKKhYCvA8Gs6ennvvjT7/7uzGRJh6W2NqQceGbncL9/BzQa+CpmCe9P+3ktu/IB80xdj6C8ALQyViSHR76d9hAXlzMoP3Qma8L+QxAv114fsNynCriFPYWnlvpPtkPg9WcrnFa+SmQ7xK0DGDR8kRoCu2k38dsgk9+X0hzPxjld4HorD8WyHhhLOAkdF6ynYiMbOTYW6f+1hyGzOsRMBCngjd/N02x8Tn/LotakNbGfGysvthwQycsNsey52Gdo8pmxqXrPUmuTJlf7xzn0zqiOhf3/P6lR4FdQMIOsUAJWbzQ5ZnrG/qwv6GrPqti/DTxFCFux2xeHlO2DaVNQFUGOn6cN/CueqKDiPZBZN/Je8D6wnND1wnklLfKYuedjG+WKy53ArVZWrn+6ieOr278Cj143ufvTK6QfAr4Hrn8wpuuk9WH3e7p9C3pT66Y+K5tsXB0l+mlc/F40VrowYIVFaU5ocj3583FF1m4c+d0/M5w1bmRHFYlsQMh+nq3ccJgAuVNeoKgPRXO4VXbRUmUZzS+s4ykPJuzXPr+/UiUthC9/gWJZlo0ailzeN8uBJ1UtpvTm0BPh3zPFYBkE6VoSqgCaa8nwWmxT+MKDV1L21DYxhhNODyFN65OWH4upMfM387T1+aCzUGFXFdEruL+8Zwv5a4haV4FCCf8FJgnT5TgsZzvGkufmNVrKuv8Fag86dCu/5Hsb0lOCo1h/33qU3XCKo1JsqlRcOq4YB4FUCjU1U+9DF9quvsDWCGKYU5P+2RZXZ1PgClbtbPNZ/BlyfkU62TcNeFhsvfTdO7cCIddkeMRkvg7fRY7cnyndiv+vOsRnjnnUVVcNm+TbmdwqpkIeJjaL3MDf+hxtpE3/gR0t6a10QrBHb1UIDPGw5yMvjzpHmaH8WMKSZ4bfA3MdKpSlUKbcyl5dKJlu633Mi7AoirpJdDPYafjitxEccY6nD5/jRbinaxTlmKwcVhlEY0IT+6A9XttJ02NsBs5fLE4/1XMkMqCFE1J7eT28KhNVsdlnqXZP8JBI29Sv+u8KrwTgNkzuumAqYwvsjKObI5z5Kq0Nlv1MR6SEsVkg5fnj5/Y5bY9+bwOldLwa+GGV17ZQ4/bJt8Ukphxw7pcQckxvdLFqF/VdltwbSpL5s+CbK/xKWfmH86fKIT6xsO9Dq6LT/B73sp3WRd+tbnMeCmvj25r+GwPSy53mfy5vh2qvzBtxQsY3y3ig9ktHJ66hZBwFnYAGpn6joytuGUZexz3slmz1Lu9uYPjjdSu/QLZzuO8x4q8nP/2B0uJSFdRMF1WXwoQ4xB08EDWa9kpa3it6+GdbpQQKFinjGXhvltXafte+xr9yd9Zr0o+gaauFJFF0iuyF6gbHVwnHe8uKbZ+/D7SD0fs/0fSHeHdnjjg3b9NncwsklOxUV5fXjZ9p/AOAZ5L+WhPJdyVxwuG+XNg8vRK+HxlHnu37k6xnJT9N+r9Mhx1YaMyzMLgO4Wyw/t+LxPWVR9c/g7/goxf0oFrm28xXpdhd3nvDDVthvtOUJ0SG3cHheAM3wFGqjsdmJZYTlqKUFWuq6Jdqy8CdlNeY/HKXnl9Y9dX47u36w7xAkcndFNf7hTETrmpQJySl61K5QQAxpzMaathxGjCu6bfM8Tsqmg5QIFwinrb3Faaa2wlvFb2E7z+2LR+XxBgAxnxHhGlrCXtgj8B6DTwhDOiGshCeaCV2sC48PKY7ruKfzeuwgNAeW2RYJaXvQ2j3dlfNXq0TRhf1NniBD3Tesf7tZSJ8Nr+6c+VwtBZfncmu/ORnKfb3OX2GCcNHKvgYdroC3wwEfmcdh7KvNjyberDL9SPjwv9dW6/4L+bgU3lFIQDPbfJLP82GZ4iOiDDyH/IMvCu/mO7b8idTtZucvjALDrjejPyuKwcdLg34YzP2Di4pvpJN3wnzzvpqGMLoCDHifdRyhwA7vn6sd2Cnjonb5ywX05CdHYjSzeHPJX/OXP65eKWt/UjvU5TCKc5AvwC3tHIkOM8KuOfToV/cfw2un+7XM+TXs39V+/bOm5sg83u8vw/l46/wCOV23oTiYzvivtkG74KFX6kp9eA3I3Tl/l31X8q7hk/9Xn3/fTslX7UlRd2qDQwdOXrPOTf7ygf4mHxdUUoqw5ddzTp2ui3/aF8j+pLKPFNTq18rc5mdcaitvh3m88RTcn6G4qmFW/6v/Wvmw9fEZyG5wgZ7RFsdOHtuoRCE1sTpY0aovj0zp2xyrup6lh0qZv71fPNdhrBys/ZIZudrKsuzzf7vTYqAxQhSvz0eIEn8ZzVbtDHaV4kWaTrGfXruF4g5d2qaMeR1ixzDt2vL1Gb7yRuR5uH/jXovrTR0FJrZ/n8qrSzzeNalup/h/92c6zRIU7tx7PKP5oy2SY41yu1/TfGpjqagKKndvRV+tfCL+Uz6oZt4EWyHbieFGFxrHJxdZ7DUupt0438Lqwg1/FFuZ/2ufzMCCm/JP2SyCyrDuyTqtlcy22mZ52dhMM7e/9LbNUK15ciqPxc/dTS23raL2znt5Z+OGJ/g2nuUhVTTMukbhj4kTfa6ZouTNraoSCmK+lmkGhZEE7vHlNhipOx0WjJxzBL+sj9OyS5dJ1u+Taiz9yfddrTdrvRTuZYuJZ5L1hyQL5hVPEdYC0eIGn3SSzyy8KtC6OwuaztdZfYRNR4rlDUaTd2FcoNs1NB3D0Yu6OUxsZ1OC5LDD/r7Pk0UdAK9Ts+rc/jpynBr28CfcxdXVe907UIGD89xDvZ6mXxSRmQ/CwtWAvW6c+mHoy142zltzChD9I+gl6w7qNMRoTM+0SfA58/2ZOPazrr/B41N5y8bgBbWFZPQ2f4W6pe+KQgAHlo3HukT4Jl6DSqRSE/DdvJvPDgJ544tBTgc2pWHzsIbxTydcq90AmfRhrZpnDlJYwq9bERjO+67lx0GvGKx5zHwSv4RGNnQAjIiJN1N9Jn5nnsEPJP5dOW0ad16hAYuOSCXgPf8Q0YikGhigHECVMAeD5HCkOcUjhDAQ0A7LnhpRp/NZRp4EkB+U6nMQmGdcdPbl5E8UF3ufru6zgda3kuN/yheIjiqYLPa0AVeHw8k3M5de8SXBj4/tNkdtG+h9z1MXO8x7yz+fXpQOjiK0QHaSHF56WHQSavvioAO6mr8QBrjn1KvisqhNSsM+Ru7l0/nkbj84TqKueLDvk0qC7YHQ6A7kKedQoEJ212fJd8Gn2BHe1ffmKX5BU7EoMfOL6YTxLZjmcuzzJ3PK37HoL3QSRMcg5YfIdx4SHoEq+62i5vKHen2vwtYHSxjAAk2gocEFrFZWzhKQI6VeptXRRdRAG/nytkuKw/uTAjN4hAWaaJJl4b93b7DnWr63oIBnS1TePYpSrvWE8JIziLl+OpUJUss/15GtN4ZnfuimCYPGG94vOPiKdu98z0u6ND50G+M9l5DtNxjPUFjM95AiM2zLcn7Zo+J6QQnkL2UHm6R5jvUPLv+hDkhRKSP+y8kDV3GA65dOG3wJecaTRHfaE6rjChtpLeWueVs+M0X8rzUi7YsOnX8440rDb4PfWj9pPfdbbMKb1gDT+SJefJ2yKgszoe09jQMzPfhdPeFuNOPKnSFD/Hes4RDbbk1xl4GPJ6UrP2oyy2ub5aZWQiQebfkcknFmck2ST7u03HJPjUHEfpxEQz39Ji7ygwyIQrTArWg0ofA7f03cf8zu6NNQRZVXO54DsoifrCsmJLzvPqeJxoiGmkwstyGQ0PYziYB1EdSQegV8z31v3zSHrDapOR7c+1VGbleX1AFOPbFB76nPpe2CGeShQXP8EaoXWf1P41NxDyALlzTEEnMZ0ovumE53NYvxahjOfUXdyO9HtfU9QSi9jQhT3cnThICPYym+wX4MKU77ZUY9GNpty9PgA8ME9RmpI2NzIqZOSrhNJVHN42z7MXfOn43MfzmvJWxMdhnoLWoXg+BddjTDvx45rq/uPCGIoxrm3Dro/N8Lthzc7idF0WSckmUHbK1olsH/W6GIrmpW4fWGQleVzTfgQgY8L6YadU+XTu2nSc3ejfHlOpfQ6KuhSO2wvXJfj+pDA5iokfWXfSunMbmLq3KPB8atwVW+/6DZp1u4q7W0MS8wIpz0+HJcbVEFTnYl0gY55Y04HOkuyQwicYlhp1zb87nEOhH3Q/Zqcw8XPiRR4pLU7zOp8keJOtoMjrDyyzXKZxs6cIDnWq68LHFnmKYT69o2dsW6b1LW634fsh50Z+XrGZxrjotUmm3pRLcrf5HfkeM9oPhkdbWpXEGpjj1CMDGM3KExi+EcbhKrpIC0MHZzO2PGYb7TPOS/KpF/ctW752zZ/pyuVvgXHLe6IdLxdt6mK2XZ8rzJscI3nX0PgpwomQDEsnXa2MUPztyEN9Z7tPkedYXZPZ7ikGsUD/3sjn2tdlY/NEmzKv4qaWVRqXFHWtlun0hNK/1MeaOpr4A08/HLG/xeQTTBdjSIYH1vv0DN3kkE1ohA2h5KT9KnEnAXeSSP45JzKGzNAg0ScNOG7rosnbTUwOM6UAUBjv1r0DuFvGIthf3u+jh3flmeiMRpQctekdjUllXNZGx6TYicuXmSdF48U4twuAVO6ofLjRbIpCLDZ2AjMKWd+v0p9uHFg5LfAtBbe0VfEkuiuMXSJlNMKfuuOFFEUV2/06rn1BAJS36wvn2ZS8QrTm2FIPtep54lNsUV+2UKXbzmavnp61ApXgSQu/pW+OX16sP5KYt3fxfT05dwrNab+lXQVqEsPtf6TUCCo9MGDU0QhB5LBihtcdiksvyDCDEQDvNosQwFqM0hMu7LM66cPwZOWvKpm281rjvfJBmIwWG+CPcWGMC9+fj4DX4XvI+a5j78u8F8jYK3SGmvKFAcV0xg7rzyBiqUaV0zzRuVzlztbWWCVhOLBO6LIBi1VOBLEoIQ9f/HrQ3GngwpQdoby2CLGigmWsUneXc2XVW++8SeWUjOMFyPpNG2LkuSuskZeVYPLA8AKuo48Xl7dFdoOL57v3l/sYJCyYm4Cs3pSXeYxyZYvvh0Fd2kjdq/R/l6T8VRlKMHCdm8EZfV2dDT53WZQAYEUGID65G3QSuFdQnw02tTkhvHjPLP6EG13wnvLelq/VEa0pbBqTOEqGJ8OAhb/qaIwT9OQwyfd/8rwH6FaxpctUEbDRooWOK3Lp3NFSly74AvYS5owdsEln9Q0JIzNgljM0HSOE8dRbMzzdIsexC1GvtXvSw3neFbiYzhPNeDliRVm38nvLVv0bf6Dfx8XL2vaJxn+k1+loh9FY/eI2mmcs2xpd8m7c30m/qI7xuteT57+HnXd4aJ1v8dg3bdyF6QNoIe6msaJP3M4Rz1v1yLtU9QJ71vES6XjXz0kdHR1wuZVjMF3eVxzVZP250zl+8ZxxxcCQw5sklfTNU0PudApnLIcc4ZXWd5M0ckKtPrYVHTTSUYTH5IRz627SR/0Z1cl5p2yZerw43bmO6jLXuhubzF/RA8Na8koVdJ1u+Co5zkTTRlq1dyoSJ3i/EhmR74Z1e3LZlNyvF0B2r3n+C+A21mR/awNvPvGaEbixBKdrNZtJTM6Ibw7ewwNJ2PhEVFyP27KeB4LqjGX4dzuuQXjyBvALXWsqW5la72pX8eJk7AGM29QquK5UI/4UHT3kIlu9NYpSmctV70xznV9JHjZ/du7HTXols1hueapj0vAigFhjJ8O2zK/haddQG3l4V8+m49byfjih3iHutg2WTLoetl+N+OPWpw6O0mYNGbtddfQGL7yzWd5de77TiV7actFAD1csMxZ75Ctpo6fD/EjpZ+hDbj9/rcx9gZYP/Vo6W9POV+F/p85IDbxf8W/8vtIPR+xvMZkS6rvaOSXGiftJNjPM3+PaT8ZyeOD2ZOzGVMXaXHn8pAAvZAWzj3AJtlvn0iLA1705neEVzFmoHl9cZphCactMOy00K+bCWg39QGWdWaddOXSq5YI5usy62O4jkIzTqINwkE5KeDHH5eB6Vn+qEaOG92QM0w5zHcBa/CQ6cqWL2toW14Ypvk0YjM1gNBx4fQx/LLCj5K9C2/AeY1XqUKKLeudhOAFpTtQ7AVEdA9ynMTcFTFwSYOZMivBDQL6r8pK0c9LvPWmT94t3gbl9wg5Xv+vDTrmmyWdKtwwFHnOVX9POX407Cf2kHeA8ZNHGeOoaA1bAeayI7tzZsPCthjtpu8vOWFf83UnDxvf1TZeziIz/uIPFxgDAnH+V2bFyroCH3HInbtzLBcQ9nfphp4YuCjvs5enO0riLyBt4Oi0A7qDToRi4puJ8+UmshZAaChgquMyJrn5vKPMM2tUrKnlXNxA0mO/FJNpRx9E6iZrDRCEb1wEn8Pn5mM5Yd1jKyntRP0SAMZ6Yd9/OndsKckM7yM9JGw93lPJ4MU9hI1qMdv3UqDla05z0U6y1HpIX8FDSCujTMvkdtt0cdbxqGRNkOcL8w+8IjRPggd9VXj5zM/I5aTTxN9Q8EvIpxqLSgRLfjt3AtCAg9ts3EbB84jnuNFOm1cTJ+no6LYvmM6qjeRl5pIyTy7GR+3bkRwSjOyyrIREOTe6fEp4cF81O2xR15BK7n8xkm727PjKNpBBSLLuof/7e2+bTrw6z38OW7vD2xN8Jl9y/gGGUItSlbbx4jIVwDhi/ozoUoe9NepfeiapZBxifGfgpMyTKdMZj6JU2bnGvMCR4ZFowCDryehF5Vr+yzrnohYSVd8HrqXqd/6Qd+FlXc/68GgrHMOGZ9cu6i7rbBe2f7Z1G1L/Vd80sblcjJgmRvlRxUxcaWt2qOptL9JFET3wSvrR33FhA8DvMilz2R2pSiWq0xrJBHPHjFAqyvj88bxdIUtuS81W+Znwl3fVa6NX7ILbBobMTeTNvtb0AzI2/D+pAbbtLwYM0ze9O7nmShm5BeiiQ53FaeJT1rDpheWGO5by/C5sduVzgoHZRm2eG1rg7t5GRPnfbO9eLoz/xp0Nim1uuefrSVbxAE8nXo3nFJ6tPeVheFj2kBw6Lj3El0hRR68zTTmfyibrwQiIY2Xb6ldpLj1I9sLZvEBr9J8B1Tf1KnxC1RXyJMZjjIMluZN0kyS2us/lMcovGpvj1Jlr8nWicjPXT5ABwfc7BkodVRmPBdtysT0PXrrTuen4KZ+vP61oFAXjvdKIwzm5rPmaoXgyF/JHiwgWRsYUoZvsMMPbtjlf77dGV9LJ3HGHI08GmSHTFJ7wZJ0MxHusE7Gw31y+ieDzm/bDRZMnLPRvUTxWN+21hEfr8BK5lAMTvnp13xKpiRhghmy3uNAb2uV7nKfi97oPGNMP1xn3Ouk6ll7xqJ4kBylM30xZZJ1j6j9tsHhVKLok1RhTeqjRZfA1Cv5vhGW0XIbQtdAHyXcy+lFgPq/ZWVGGbzxNeO5ZVZRL3VfZ6Uz3Eez26UvD4yq+I9ycnsOE9/a48u4Od2aPkz8CcYLfTu3poLSDZYA5nsenE8wLNWJNM9Of2zMeNn2HYwdiBeZqybHavfDYlx/OrcS34SbiouK5tl/pyG0bTZC/dbkw7zPeqK3UnU+UJ4ytZ34tx6XQLn6cKxLp9KDdNP3182S70eqh/apFN1tqA5JOwTh9sz6LH4cINybo2ww28XZnWVtBtPrMt164FH2zWFqaWRkp9HayV1d3ogL/v9MMR+xtM7DyrBBjMi50hRcClUFOYv+UJ4LEvgNWwVHOnl7VtFWvZVayQGUbXFyMf2BafvR/bJ088a29+XUxUVHGNkeGx8m6MCObpqyQIHXfEOHkBaeJOIjRiMM2xJjE/993L02ghbneV3TvelofEqg5VwgGU+FARLmx8R530PiO3KDCYQscdX1FMgaEVh7nd9NPGsz7zfq1FTk2hVOoiW1d3x5zF0erjJPl9CA0KlZnqZEUHM6xHeuYLganQLDiFIFbY0jIeAtqB7I6hT1OAVZKjrToaInwIt8mADF1KPp3ABGQdbnG8X5bn48L40AnT56BTdkK76UBKBGjxWMOorrhzfiM6Q2MKKL87vzbEl9+EQsVsR5xOfI5fiHDUEVZXMXdCh/PI5oDTq4duFZtfB3jirk7B/HxYX93J+qHTwf7EDBnKdThOPhD8zAhgGk2OT4dBAZXpsb1EMEIBXJWuobFTpE+bJMlwKvhkRUlXfSuM6aQT/VDoh/XT8Adg28nsTtUIo1wmqIdRFhEA134vENUFrFOzc4Egew5EJp3q05jrw8dqjRc7nMOY9rFK2hlyeO4YW6oTpDOGgBELVSXTuB0KsfDFWsK9hSHLyuXQZfD7ADr5GRxrZyoRvMEWBpjTsPEMP6k+F5VpjAVhkHtYOPXFpmYOB87iWT1Ju/hkCvsUegF9OmpBZakuDiHswxy/C936I8V6l5R0pm16FycGAm8LPmk2js2FkcXjAOSTu7qGg/s3FxjVsuc6091ml9G9n8DwzSTGs1oDneVwY7xL6bcbhr6TWT6xycUusax3I5+N900XYLwI1YEMU4yf1dmx+tQX0XBKb3Abf3R9M/QwAeZmoTUHN2cs44kWMIIlBr8geKpDccXPyzTvOCD65k1d64oIb9v4izlGeDNTRF8xo5vDY4P6K4oZApKcK7GAgYXzpvs52VxIaUg/b2XhfNOHx8RLOsXKc5m+twssPGdio6LzQn9e4Ayacd7w4mQmzduo18voaudHuk+bzUg08c6CRm9DNvhPvG39OM3r9ncHS5NnWyxt8iSYNznlTPDcNPeP53PlsRmQQyq8anvnzyuc/N7ov11wuoOhq7O+vyuPiUNBDkHL7fL3Ixgkdyo/T7CQnhO2OfGiKNPR6cm+40/nK+W0T8tP7sbj8GzCKEiLmJW5ByxvMDHXdTcaLkBXmSjZsRft1QWRmsqG3QBf0W8Q4+7R5/FZ3XDH8skfuc4lFN1MCK5LVojnO7saQJyefGeOAlO+dPxBS99P9bmTxDdF+rrRA/OEq9o6QqlAzDaM5sgB6yGBoWI2l9FDsk98sLDecVKg22S62p+PPdJRTaxOObwAkj15d99t2gxMsArVte6enc+G2QRXbFRfulybTs+lyRTKc3knCzAZNcJSU48Rpz6UcKxrbF4lK6PGEOUpiHULboYns+MgIin5J2jtI9Ow27Ieljj0e+ebJ9qu8xiN3nA3Ji+SsyOfK0Kb9KqN0rJOm5cdX6pwd22nSotMq/ozOFuny7CqE/MEYQtvh5TGnj/Bgf59Yv3E95duwuuRvS7DfXyV6njUutIpXD3X2eqNRDvbmDM/P7AWvhZnBzx/D/1BgRVlCWFj+jil/hGM6TfVv9YYjBeabhHOWEGKoFRpLjmRaRyTvsd9qc8q/b5IVTa34/UidEOyy4Cefk96giAiRvFc6uroRMq7dHuC+fedfjhif6PJ9cig4yDcRtmqO3c9CZVpnLA1b7T5KArFNrkW8zmd8Ik+aPl0mMuk5x3CsTMXxeF5+Z0gBsfTgZNwpnaTOC0I3qGAhIw8sTNh0O8kgNePdVJGVp2po9PMEMUWrjLnQ3ZMVsVHQx/McJFysikqJgBaBiqOSSca1sIykJ2h7P2JfpGCdbuQkHXHXVDQ7zSOXVKgnppNffR+2slHjRN4pAQD2ELgAOuUpOP0KVA/Fveog4ylcIXzyRFG/fJQiq6BkMapFyAPC+8zFn5WaCYL4KgyYXsKhp+qS31d1bPjOxbeWUljVIbTi2l5KXqxG5CVqAXaAuFhu91pc4M4LkMxLCEaeW7Fpgk9Kih6kraCfOeL99UNFH+1zQldG13ISb8MJTOszRi61EP9IhmdFzEkeeg00F0x6xyyAuilEENW7VY48go9i8y2Pj9HGLSPh+Ixrklm3rlrJCN67nKWMJg31NGzyxcE/L3Mnc0D1+qn4TvuFnrGANudJkWo2WkKEM5aHs0GuSOiQ1AAPgd3ncjVCPmaTrgbLahvPDK64GgDKQ2dxSuMTDwE0ngaQC5XADvhjbWAaBES/L5Ur4N59/DNH4TOqHOTL1SHO0wYTMEWJaCtz8qne0mq443kpdeT1h872cSJynF905CUjOMr52H81FM6m4wQelacYr4rNUUC6XSIKz9fDsbFX0MVobGK8tQ35r/e3rZhhvE4Sj2C3bnndT2IRmofEoNf/XllrKxNejl/txktRUthfm196wxoHuuIgEJlcmbuENdBDUa7ikorkX8g6a/7JjFJzzmsqP9OiyEFnvnbCRJbaudJ4ikkU6uMJdrz33essV0r5bHpeG7JJ0rdCH6gbf0OX+IrV62kb7PVlzs+9yMdE8//+hlJdrJMiyZFX70TufN9vzl1ZaDnwR9pfjS0MOla8KXYnpSq/OsBd5Ao2lIzDxXY7I92kZLK1T6feE0PfOafMd1T+6Y7xDyUFo8JpsprSHWb8K1x15jEmTYYxtku4YbrZBktO74Ah11SuaROlbFIPJd1gUbmbzy/wsn96fpnm2mV4RJCBsPSeQ5qMniv59K540R4hbd7xoDzRl5rM2wPGgcZBQmOADvVpwqMa9jGRFm82p2z/pv5eNFjKp432bPx9F38BPpNToSDz+u/CMVtpavP1rNsx79KlQ5uZOsaXy2/sWwaw+fzJ8U1BONjLMck2UgiGptafWMsp+1O2I4eCsz+XWp+YJ3GrN33KcjrIPZsjCtdXXMRPKMIhDRdLd/jcUHH7NuKcLZy6jXwxAUhZ5I7oVdXzVnu86I7WS78VxiPaERc8jkRbSimk583/xabgjd1W8UkFHsEuMzwH+JtWn0iku0aqn/JmjVZBDI3kQNIV9tYSO+dhucDj7Yk/o7mrBgOYn2l0lTkwWaXVBsn+vmmuJ7rKwRzV5d9bjrNif/ctS0H9szzusiRug4Z+fg5wRlwHzawMB0wuhm/w/UQj4xFawaOh219WpAdfyjjIM0zbr9+Eq6P9gPz+RqlSnPWO7rwNtq1XcG936Kt0Mv0G0wW0NZcXYewd23+ju10+pyzn2S7azq8FO+JvacqmrHZbPvAuZbf5XsAgb5vwGT4HGGpwHS0c0FwVbo45S3wJ9gP5Rj+VofbGrqp5y84/XDE/gaTCtbpgeZY+FL+5wSUJ9KF2HUiTMIuAjYImqVO1lvWLg/NjPVgSN4ZgtOJINBLMS5FCnsqq3wbokABsVmll87TVgDkORctLy8LpNO7jjcF7CSN7BNYct4VoodwYsg6KhiFqeqQdTKRFvJWO8QhGs2ADf50wpH16qLgVUHMBpQvbioQp103Rht0Yj8vSQttmyFtYxK7V51G/SSkn74c5IQrioPX7fAzvk5CnXHZCcYIdRLIzO8Dp/4nICWU2q7jEkaqRD+hdK+l0CCFsavrhF6law59wwqgaBhz8nHZCbpVVm33ZGg3poiP75inq/w0nmA5lHR23Dds8EYDsZNiXchsPuE9F6PstNPlYbax7uAqQj/o6xNmfK7dwvKJqYD7rjA/vcr4D7pUmr+aQ/kI5fXvCgpru8YnjFJXkP307VBcv6MxsHp16HRqdE52YDrizagVG2N3xI5vlxnYM48Mxfi4Ztje67HgrJ4am4DHhboxcdGFP7k+x+SBD52G8wP4eDxxXQN/9mmT3u9JxRyThyg+7NmliLBYlwoe48pGuQo+r5F2QA+n76fgej7mvDd8XdXRXMNBATGn0hzgxJNb6HcofLLnASAPPzkO2t3sp6pMGfYQU09ESDF3kuKhQZMx341v6DeD1UJmJ0Ob+dsFyHeshQ9rS4yHpAgSLM/rRhK18LWKeS9xkSucD1gySBQYnwaza4EspwpfrachvC/XxyzfGpXOS64CD8uKyosrvhgG7tcmE9UJN/L6uFzeP6szy1rv8+KLjmfRGbZSfZMAnYb0vM5m405Ypz3bHMNy1OUYn9REycN9TcnaqCdTJuxWxk+Z2gndfFJz9Q1lfOuiOLf5MhHNxOnQJ42H5UkLCmVM1XEiC3aUsV7q0IwwEOTT4VJzmS1Z+8PaCB25bGxLOjOVa3VllPK1STtxCtXV19ClSMaWetfiftOHUCka/QFOc0TXnFxGu75Ty9E4LXtj13FXH+x6E9ehdY1plZ1RTolW6gJziWKDAk+Pi3cI9u/z1NGn3rzjbCxO7/KyzsX1v4JLgbiOpjoldeXh/AFXA+MrelibeW94RWpbAbaH/XmTd5Nvzue4Dyh8nvhIq+OJ1y2LL+i6MdtVnnSKAgDcbr7hiaw6tTaR8ejtyprSnxZmg8EzTthPPCvjdzwBvRSXzM2n8MgTd7y98MuwlU/ytevDHT1IxZeu0K5Fn9lCCDPeir4Tvy+LnuIOOcESlO/A6baC8/VrPd8cr7ThELBhgfUHMvVYd7j635X/XDdhmcR6B8+JtxyzjA/77qgRRb77ElSny5uD3E446/QdexcnCOmZRxeSinAfHxZWnKXAGTLxU6aO+NOACvC8rrmxeujUb8a19mlZHeyoFGtznYwt/ej6H3xR9vdEf85PIH5iVa3NVYi/f4wLj6F4XtMGfJXcyewO24fbmJfkq210bexVq/fxILuz9DvWadzuJNss7EO6YqeiKfJ4fyFrLtDcFgFtwDae5pvuGaepXszN86f5Gx21SeJ9I6a1rX0ZH1XvswIpbLCuMOIcorTCIM+8LpbmqNuwSl2qc483CBfdtqbjWjUWXKzzVj2A7el4bmI52a3N3G75jMHAqa5jtu8OPKRzhK0IMQjZkR1hNK8cz/4OiPU1drTONQQJHMQ7KbzZwRgLuGjf3zeRmjo5esLJXQqxxToa0jQ71seyYz5Aiprkz46p5gv6kqhLqw5SdQGGc5urmvLd9QXYaTk5YU234lhGmx6HM92yozp1+9INR9WeavXYN1OnO7dznyIXdW2xrjpBavLqmh8hcquQRF9/15ZYnX8I6Ycj9reYqhJf31FKIQlqqnP0pLACsXBSJ39XdWUwHVy/ahKg3RVzM+FbA5jeKeOXda4m74Khx0cLDzFC9jswY4twFa/q7BQbVmZYeYAxfQJnv2u3b4r7N5U/SfBn2EkwUL990U389J8sRYVxw/C2fXUn3bUY6rZo2dFmrfMdIVTwF/fMNMnDq6aQP2lF0+t6IQE6rdGNPMcrO3BPfZD6x0SMRYcncDo+o0t5DOeD5fVloXfk2ytl/SJFfDshqsiw3SlnlKeGgdp2RcscQz9poZWWTsqpJ7/Iqjs1qRMzyrDbn5oR2mo2adWn9N+eK8GVFtYV6yS6jY2zyusauDTLh9O4DQEu7KGm/PfTnLD8l/rthlQDWxicJ5lmdSCMYtYikfGVFNVyxxIWbpVwv5fLdczfNJ+DnlLlub4EO/9JyN24r9VmTPxWLGeby5VKdzR3Q7Hm0wiHVA29KAdsDpkq/3kqSPqy6q5o2QEoeel5tJHm66G+Qv9b3VryYvVTXsFYyyYZv3j4LZ8rutXmICR8Jv0CK8/bugTxgyhS6JH5WFokrf0FjlMr5WUY61+pazkNqE5ndV1/aiJcHsftTnfp+veOgHqzje3eeX/ui2TxG1OuiOZ+vNJdD7Bup4H9uTZFzIkUqoTTykHkJPrTc1tpkWSz+EsfQn+qbclb/X2Vvrwz/u/HRLg98Umeq1WnP6VEQ1VQhLop+X1bj648XXusNx3g+FnJHZqCcNCmNtvGvGwB138zjzz0hxfQwmEa70yXfkXX1UHcZalhLO+S5DnqMvmoA2xtUaZSb803VSsJOnGblxevuZ3QdUo7LfsgvHcyKOrt5GSt7PSc+2h4WxuutQ+TGw1pRqjph24X347TSdnqHIFud6pvBp1l5zULlpk2Qvo8aFdNT/K16KKg77x4ynrH5vCoOg130x6p6y9SrgnxDCUSyIJF7LGu34c2j0kAfVi7ZWNhun+7frLcqw57pwOKfjWjWA1ccmX7RfP3zcY68b7EzwlnDqPSZpQUIWq35VY44YPuQVXX55U5D9GwPxWwULtr88FEKyFPNLM6KX8nfuO0TLpPwEKRvTrhIYUXrhdVqUSvSAFYobAbPt3xl+PCatbJUv/qva3+yjcLc/80X1kTqGCHquZ8Xkdy8MleR03b84ZfvpVqPuLrSRbwe5/iTV+PvKfSkZT3VIaXIW51pILfaqfHBkyXHdTfCqez5FgToPpYz9g2yhwn5Xsp9Y9k1obHQzqexP1iqnbIOzqlZaT2l07V6qzvwMH56jzia3W43XcinXiVh0Nrx/UQf1fzvYuXjsYBvNItq+/iFYxbu4l+iCcD7ZyqOl9cRfkLaOoPIf1wxP4Gk8o8/TIUGLyI2jBcHcD1bTEFDu22La7EpJKdQUWF1KYLUok9dATjuksWQJy+20KjYtXHZesunS5U8eyf0DNMjwHtGGaG1jEHpT4n21uxdlgy0xDE3aGiiFNM3rbYad7K2FLMd7XTA9Tm9WgUKUVriAfMfncCKSVaZvT1oH6ZVnIB4Qhdr0jZxhq3uhvIFZt0YqGGJKmM0/5EYSE258kJ8ZOUhs+E12v+3oZMVl7IvF/RHU3VmB72LE6q6BKG43M+u/j0jZ9YUfRGzcMa+hx2z4vmHcWk8EeIWVfyFetkXUisBmeOgDiRJ/NPdDmhhjmYfIesYBpGEl2wOy+J9h+IU0ugcZsnmOikVR3LAmfcD+0KumjQ2FrskCM9xP0NDku3gVYFuBT6MU+jyuc80asD635id2g5L4ItpA0Fvhlsdn+snwJOxqiPCRsVgribFrT7P5yrhA8/fSs/TV4VJ2stNq2OidBNh9F1H2nc+RNGlOyGH50qxdPuE4pFk5nRnZtp4ccMMKU7dH2W+47k78+HhSDODDicq9YfEcVjKB4CC9Mrke9pzlwOm+WfUc9z4PppCqzxLQZsvn/KnE8RSo3uWfVdx46fByZO/ZQxALXd0zyGEyeaFpfma793x0I4+VgAEMeBnzBnvj9goakk5vG+ecROlD/XXbDettip9DCKbHzGJ+Ikng5JhpNHXODFT++jysw3PlPzCybnhbLy1ygBPn/HNQeaFxCvD+S7L53fEo9N84ZwnEClBcU45eh1ZJ17nlrNpLp0BToFE++MD/HuVp+38rT7Rq3PI0I3zTLXN4lToSkqBLAWxICQ1QkHlNQWKpx/YmjoI8GXTKaNp8ElK0xYvQbAw1VdD0CdhxE/XgvzCx+rcK4n+ux6QTk1m9r0kMAUBszLsXHFeGJDkzdXrQUQwXhOWfr8o1n3pHc1uUu4q7TjdBIym+4nZ9a32OaCR0iTYTkV83G1Vw1jPvFVccq4GZ+Eg01BYVioDgpZHLoewZk+aWxDtyw4GnSKoW6gkMtitIzKi5TgkIULZ3dicIrPrYUXUV2RXFJfvW+6wVj17cjLUXx8DJk/eT+4vkrvNU/z7kfqEy8g8jNPSa8H0nzyB0FX9Oy0GKI0Hd5KLLsG1jUXflI08STdeNRqd7W4IiYg+Eq89yttXIds5OespO8B3wsdi6lRBmEzJQQI/2WdzqPQRB+ozuA5PAbWB95o4fiofDLp6ZxI19nki9mJ6cSRydrO9t/qdR2EN20CAe92HQ7JXFi74oaOyyYQzyq8xB8Jj3e0WfoLktUFhnhXeQ/TWZ03w6KlmC6eTsRyGQee7UOze4ImQCQn1EhythYAgqZ0wen9uyTGUeJKnJlfzKbUC3TCspdvVY8Ti/Ig1NZy4NjY2b3lySnSdKFrK/IWnAutFwR5kNz0KCYAIkpShK/193ylDaV0KrbQT8T5Uiyb68JmZ/IEnZt7AQ7nDWCFKn5aHzCgqmbTjbDVJuwZUcb+bBOvtZfkISlLgrCHF22v31N/9bm4aEMx7bl1Tyu2cMMAwEuJrK5cOsMTu9OVr74BgIfjJ/At0Y6Hj/Z++mLXFZtUfa5wy/Tb10z8mdCJcM5Delxi8Wn8adysHmV81xRMCCZr1kaflOUdoWh1TNlHPLTKZ/oeZGDlYm3UXypWBB2eM05rlcc5qvmKnNJYsiuobNUTNvlSps27qd4XnmifZF+yOYscZnviVk9J84rqpA3m21j6uLnu4bjlCDhWbtvMWfGkBe/chyv3I9YGgmYIjgofkMe/QUCCr7TV4sjhYLqoTTeDvemUqX2PtlcKjZuNasyIDL6w8Q59TevIg34LiV5dY5htyzXWaUMd662k09ymKsuiibnuWHW40IkqHz70z/nCrNTosdqloPd3G/2a6CZpXlIbe91IrHXSuhPOrDfogsYzRFQDVtWBN8YiPcy/z/TDEfv/peSEWoRNMthq3q9Uf5P/GDb45+R/A7Z0WvQdZeYtoAoM9qxVmDoYT3yMnbBoBOLPSV1bJFjbsRJME4IV2BN/vJFtrN+fQDkxSBYYLBSd/3L9X4ErtUuK2JfpvmPctTy3U+v057GS/aItX6lJz6nCV6RChrnv9OTQQrDPENyd8kR/FV/vnDKJEwR3sjqFXyknDqgrTCPtglGXPLO64fYCaR3P2JTPuTiX6EHWu5T/Fc007SuPezg278pMJ2zXTjJo7uibZYKuk8Eieiz2vAYeY61+hvOYJmKExyrPo1k3iLj9uHOqYxQH+OP9hHZrK/DwC/mrlM/gd5O+WPHuF3EY1vzd+Vs1Drfdq2zESK7O2QsvIHq+5MDhbmyKcQ+XctmNFxzqqsDVZ2ieezvvyu6GN+XK7sumz/ochc/V+fyujsHt0HehZ77cn97d1LfzY3omJd+vpAclAzq9wHFunvQxH9/g7biXKVKvZUjw7NdVpHL2XJFhT47IAKyU+7XTzxmLW/n5eq4c9b5fK32l7p9hX0Qzv5Y+/yMd0y+ilVd866ZN4EY+/oGlpKfWExSU2g0ZzgdrXxt+fmevQXEMeX5cEG3ynNJLG47akIa3prwdLAUHta/95orJ7Dbxw/rSoSynn0XjRed7yZNPL4Dekad7vpRU1gbwoTlySyh+DVzHgXkvHUVypztV/bjW5WMUtCOJZyQ53pS9HdeiT9U2vV3t4C71oBufLU8PYETF4vdM68kTUcrz+JWx5DUQRbGnVJJjNqqUYk93q++vJktDU+78nLjME9kdq3fVeT6H2b+/SnJQZufaOcUi440Hm0w54L/7/RIeTK3d5x/Bmex40PuWseFMj6/sFxsLUcTGmHhH36ttkEL3OniOlouuUmHwu7lF34OcOtukdquxuaJo5bW1z1062BevdIpbsiP++qvoz5VXvmFHdVOU10rDmXeyb5jUNf9t6wnoZWMrL5kfvWIhd2P2xSTugAN+nrIZFfUwnK443B41NL0Wu6jP7/axZ23JMdtFUorE7w51vQ3Hm7C9irZySm+v71C7eWPFAvLkjP1Dth++kn44Yn+DSdROWLDM953mW2bLAydy2d7luhV8Z1PaSQwko7NbEOQFrmPI2a59P3E0BHjuirozTr50et4lJItx2QkAPcFqf2mHj6Xx1AgJdD2y4cDCMNp2IXdlmOZiuCuI9Jz6zOEU3Nk0+C7O6LO3PYHxEw5x10A6LWNlLiQGNaDpBIYLON/9CMwTHuk+AVLK18njhadOqCfliBYOxpNOUsjCnXwqBmSeSDU8+DUGfHIz7ZISzFOy6ju+qF8llCfj25VXOO503RvopzLTrmxz6m30ajsSIRonclF3WNrptzjhx9rJg+hBUcLtOmHab9+96rtWYTBB7DQu4tSf71blFEaCaBKkKpinpn1O0/zY7pXg9yUUE8tsDxUFM0z9hFic9FNNpxoAzJ2VTzsk/EE0Q3NCFPNEJzft9frJyu8jaH4695RC8SDtSJenxOlWPeyEnnN6zc9ADpDL6F5Gh064BJMO/uwB/bggRmtCpx5Ym067mZmnOgPgnczXgk8jT8fI7c93bLtBDOB6DoNlGO0YTsjJOkNfzcH6lAHVuaX88xrpfte5e3lpSHmhYHZmDMXj4wm97P6fS6D/rx8VVOCjhkRYfYUA+NA5d2w+KBZs83QscqgwT36S2XkZzV+xRa6KuTgZ67iI+bfwmgwW/xy6+ZU5T4ChmHc12wlC8d8knwDsOz9X88FHve7xzHmcf5L/HNcHNh6hHxMnvHtWYKzP6UcWTw4+OkknyRww7xjl0/HU4DEp4Iwzk1FQrPuqy+nQhRCq2+Skw5cWfVkO+jBvpwlXXX4KkNvYxslPg/iJgtALLLLCteqNqRp3ji8+5bD4FVt+728y9qJ/Ga9+MnqeZBY8SqQTln9Bv9ZPP6GZ2lIg7+jlk5AOLEInuvg0NxZu+D7BYTSupluNTzoVidVHX+BJu59pTsTyPOFFqC2PzhAnbSezSG3cRfBodWKilSl/iCfokkmclHAd9bhKUdugOaoeVUXTqwS/18/4ZYc397teoeB6ZjcXNyc/jaOWcY/ksl8XHMloprbEx4LquAuHXnnghkuf47U/P1KfKBKJXLQlRNeY7YuBeZPd5kRp5su2MajKnZjjuZ1U592c5Pdi/RgCvRSjhq4LB6ok3pH7COilAMmH8Wm8/7FY9XFR6fAuLRS5DkDP0iKf1E5TX4X6waFXsc8f0X3MUvJxqfWQvN/6xtEs/HE6GSNb9JHUpJ9AcRqr9XO7zDf8t+smFgFAnljyHTfjUt8xb+vyeZ3FBgrd40Ud067ACj871vPV2fIseDVV+HS9wDvIbXjdunBVV4ur8OBFXl1VKzDtAMFa85QpY1WHRbkQyDOHMg281P77OBU6r+OpxR4Veufgb3cRc10uY56KYSck5+/p7LscR673eENcoaz6tNDudl1NkomyykEXfaa1CJqraVwAPIDYyFtp0+xWBfKY2fNh6wdun62To4gTzsleaebR4kerH95mx6uvp0D1gRHrDBqnWr2q5zXSKdmH3RkLIByvT7t6Z5a3uhURVUmpX8C8C/b5HOHsjQhIkY8AHSa43A4KUGjyeBQxQTll7P2+USDE9CiKxBS0YmOpFpFg4dTG+JoPIgqX27E85wUrElcZo80GUNOlLxovly2XTN5IPLSuhSW92fLWtbkupbXPJ+Mtt5GmGc9dmtsA5jxAeUbZhfNXmFiWUD8FSHZI1oWL/Cp8JWykps/bOifXJfs7fx54qRENKeoSLsT9tkln8j6S/XhsKzpFfeZ+KpJNscGnC5dsGy6AiV01uOR8CZwG3xtrJZ4TfSWfw+Xrh35q09cEaPxEFfqQjcXXNmKJ0qp3vSpF7uS8BeZKk2ntP3X8jJPI4jZjmjvEPxy+EtVo05Vorp+WAr3uOK17HcaP4F06vKx2rY0MCzUouY46Ryv9ed5qF9cT91o+gw75s9bbpTQuusP0e0w/HLG/xdQIpymIOu5MqRJpVdg2Rrom7mlX7tbEaQG5ef7WKdpTl2p4jHcS1dMZaG4ABPMoAr8yuleTOPXvBGfFvWnYpzZrXSkcFpBDA3kXupAUXm8z9gIXyqQwmJCe4Y10K1NTEnDcB8a1KyH1dxuudsHKxvGmTJR+KgrtVcWUFEpHmgta1ZKfHWibMVUnEyhssb9qtJGtDWqLwl9swrf0c0tEv962h8VUwfrkMgnWBibQuBIqXFGDh2hTwqGVr2OzlB+hxTKkcajCNs2Fhpe54uDODq1Ocq6D8JLrkcDbdhfwSQHmZG2HA/2aJ0/bTWVJw/K/ooz5Mx4b/xx3gIAM/kqrMEfr0qO6k6zL4Bc89Zp25bWMYFXBGFdyxs78GS4RxRgzRPHzOQIv8hToN8049b4CiNPNYo5TDjVG9974nUK75032Z0D+vb2Lwjvj7cb+XUXO50ldqPJnV877jqGT6i20EQYLyYOYr/be+UBdAHCH7NXec2wfpVwsVrJsUew4a/hLLMyXPm7G9Tt8r6m7Gs0JjkM9nV6SjfoqbPq8m/Fmbdtsmd/Z2eu4KHLc31G8g3ifFmU6vs59JnnHvFCxHPdd31kXEcqTN7sdnDS6w7P1L+FJE11V3WHrU31XdIKEQx6/L6aqR0SIse5EXNIz8svTogRoDF/p5m35Wp0CW3SIgo9uYWSrloe0c0g0/Gqbd8xf/Pvd/GV5x48bdv4jfS3FGHt4rk6uuV5AIci/3EZDE0Anjl/oMXdh3P6cw4vdLW69lV6Bd1N3u0mhreOLABZd8HYuUpm7uXeK9rQW9BB6wc9GJ+lPfOLR+cLPrrbjw1UPafjRfZ0d86Lv/OznAh861teJVCssd83Uvlf6aRu4qy/rCXmR1+zUr+jVBOfGDn7R5G3auauOxrhrNtFE0g+8ELVDTklXkNN6hOuQr3TgGzym9aUO4SpLF/NHX8BnctqK4PnmmHanfhNMwE6P27jTS+pbeyK3fdbVtUTmKVz0Wr+Q9fvnpOqEZR1LgXTvq9K1N89Uhcl5go3qSjZVh0OUdwUnUeSrfSxz9pRuee4rmcU2R0cbtWyxUbr14Z87lpveQ7gWWjPjfGETk64cdlvXJ1C3XuEsdLsz/jcbgWR4qu9XSBscwUNnZyd+Cu/s2r6j4bZh/GzaTXbrryBitggRnV32lb4dYNrs4VuYWD7giNvwPR108U49OdkCf7+mH47Y32KyicFCME5UspLsDNzug4r47iQEZjZZdZLhzffThFMWa7ftZfdmrdMeEqc96u6OuDfV8qf2BXNHMykMsYDp95f5KQTZjb1ZF4AnSVORec8khRcVIO5gSYufQGo7GXeKuF+TFeXYLcUnMYcpaMonGtbCKe+wSvcK0VhNBTtz93BiOVwsDJRg87wGS8DEsd8vrPj2fj/Bs2GiPNaYCp7YeLR448Rj9MJoEwXE7mv1ncSBk2ttduTfQMY7zLfjp35cGa0L8AlWmiPrnkYsgXPJhMvv+UnziqSIP4tTi01n/ZmfiPUViSCm9bW9M7VWSScio5Z6b6ggTulBMO9bxQXRkZU7ohMMJAXjpAjzBgP1cYsy9Bzr9/XI5aOvdCJZ1K71oROy7oSRp5+qtpNSP81Gx3es06jehk2YtTNZiU50x2dxdMb9r595S6Q8GeELr5uhwydqjZEoFEJ3nrITdG4+MJq4aBzVceuDhXV3rSjRyppr6s9ZBqhAZN6tOmTt6nWnKu92BtYdQGq7ktnP8HhcsSNZbWyfzzFPvdpl398/H8lhO/uoeH4+cH0fcWI8XscJACO6h9N3Jj7hMmSQq1kpes17p5eDWtOHh5iaeWl8eExcfl2ynOk0vmoncBVip7qtL0wqavyJT70+Afmkk4NO193uUxtngHhhw8Ok5qE6+P5YALGLOT+07Oy0Zf1AQI43K8P9bJwy7vvO/BJbdAylL4L8LpVxVtnshO36EvBzW2Vnc3KEMbwNa6h9c/lST1jlDUEk+wzmkC+erTrvqL+J797w38CP37FOOpc+YNEZMg64/65nRVOxmUs2mnx8X3d7r34idtWH/gfq/wY4lgN7Td+ZhvdtwaYjg1EdeJ2odT1YnhaNQxD6L98VvDkUrU3+vZ3I3GTzBOD6kDgtm04SC5pJt97FvcveriLu0E36JWjMsH4vXU9yHpLBMyIFls6Hhbe0IST0W6XxLP3giDteB/Gno3FdcKxY7XKkjFRe0NJsXbA5OrV/pD6lEOxLngqw8ZruVNpLxyxXzzwZO10s/bXfkJs2ACuXO99Leg55mvkOwzrli4DDviVe17bTPw+56LKTZax/Wp6gXYvowXPr5IR9i94VyXbr+rzVLbnOkCc8hhHJYcmNba439aeNVtjp4p0kl0V3wjr1NVzfGBuJ7HDI/rySw7bgWPUVQehzChqjWCgQ4p9rE+G0PUqlrB9tE4Peh2woYxlzkuaj83Evk+yQCYtweaJPJiz13+J21exbuuvO9BWXpVWPjRNeCYFrHnq0EdeNHM4tptsr+ip06/26PrCcTaG7acafyjzlyHYigLR5ycZy2ctrDmQYSOdLbdBv1hGf3GYhNAXPXns+aSudeFWs6ETJMPBPo8l6SpYmrkJW1CRvn9rr0uc14jobTpfRzvOye25F8WERhvz0K4BwyKoKLvubv9fzU9ILM6LSc6woL/GyIOCdVX6pm63p1KtXS14QbWweAMuG9+9s2AxAL6OzOm8Z9k5vsnnsckUUGM+5NiVev9M563Moop5Qstl5h0MtYR+B9C/qv88tPgxSN62kE4xFp6x1VhYXPwgvSf4xn2z0wrfESzNXA47GBq/9S6RWGkxOLII5+lf4Q1svrXOeTiFHe6RDd3wz3UNbeDXTUIeL4Pn8WdMrXs1ZD+MvFS6jr6TLEEGy03qj/7DDSUY6aOrtEd9G00dd+Tkkcaq/sPAOBzqQNkkck+s0la3LipZVqs6+i5qie0pjS3ghHp/uLuZ2ylziNaGqMwrjgmj56Lh2lihN+QTEhHXTfxv+/45OyjD/IaQfjtjfaFpEa5OpMHAQwcaOBdHgYafFslYYUn3pUSwA5fbDiE2CS4IZdExpmxBVWJgAmkzB61K48RyLTSK2qGQ7K+1ZEjaj1Fs6HE5Sx1+E80IsDuyLqhr5030MUoQI4TM5OnVTvY+JhU8oOKneBWMKK6gkk2ThIQwsTi6MgpCKkCS8tQuw3nd2sBOT5WfjmetLCpDBHAsyVZjJwnlSXrgr1THFxU2JvCTnCeUSCEdfJ3A9xGmSnjWF00fjnpPZ8fkMT7EYveiRbGU3A/syOq2SktqK9JjOIv2+pGfQqtMvz9fAz1JU2kUuej5os0UnjGebQuVoLrFAHwjnwoRhGSIoSqN8+m5C44MMotORha/ze1+1wfEMW4wVOkpBi8SGlOoUG0rhpglx0eesqEV4pavgUZyjqa0ugdqyPl0+XrKFw25339cwyoJwwo6h01F6DTsGR8XMIfsYis/nAB7XVvU8gTp3LV/X/JtG9xOqgu+YjljoCkelTvef5l0ZmIPoDk9fkBDkUGFJafMwxJLXCEwULAP0vKN6LUTNyTTnr+Tw0NAJk89JXiwJvqnhWGVjK/im0ZPLjPFpGzucdkHyhOZdNQLCOGIjV3I9rfEmGa4WTo6mUODy+tghpIIZ1hxzbrShQ/nPng3dYeoW6SrM23Ndf50hmHgXyxrvQ2MIhWFbFw5Tptwnx787RJNRyZvLmM34hqjKp7mfNO6RhU+ecjmmHTbAvU/cnw6nBGNyCFB/l6FsoeWHJqefXMj3eQlSX1IfvS+VXRKdbOpP/V3ZtuR3vMg0LDw+xjRg17xSC3WdeUzcY1dOpqcFjAoO6U+JxoKO810/tW9h8JrzNXS5B2jjoWaahucjfeRAR66HR7g65LxpUcnqTDwI1I/DQoKPadrs14x9+xuIjX0zpPSU4Z0Nosh8KfDg7094/pHu0wqJ0byzz+5Vx5e66t8ZI8Fm+5yi+Lxqo8tX69pO7peFpzSnGlhPMGh5z8/kNCdKHV072/3l2/umsqo7WZmTmfKS/7qcBFo74ZTCNiQjNc3vV3VUvUrJcXZh2YbMr17UNddDVrWtnOzK3sFKvHnLVnSi9awbJHp015fOkVNhPVQ/h8LsRl/Qbqpx+JZ9veZNlhtodbITjWyL4HqWk+/ymW0+WASdk5Mp4CA9uG9fVh+jgaZdbt8dcl2YYB4brmsTdtgISTVvQFGVlCexucR4DzA78QvChhSdYXT1tD6oEn+PccWmXb4vVu13pzaxXfb0dYh3hbfOzbbhjN48W8CR5l+lUHa7dyh4lv17dehGXa5Mrz5syftCY7bsCdLHfBx5MwSNrWjR0QjutKmW9cEEawYvQubuEAfcscYpuZuRRRYYbT1vyJCwd7mv6FEJnHlOtEcA0fBtQFa9+y14azsbIPQqxo3Wft0G5zVbPzzkEe3GwntqetN7Du3bRrbNwczO/FqM+rXhpcOZv76Zi5uNfNBXOrqqsCU5DiRb87RpL8Pics35IIjmumcvq2wAfVGO+rvDtz+Pqt7hdwk3zjqZOej2XkqZd1JX7hUd/Cx+beXS/P259fwBpB+O2N9gSoRNuwRSntj9IomZwMrGwtNmpHIjVB/tjvW6B8UaWQLXGBqdOArHb1EGu53QWfEg5sA7sVRtMVzyO09+3+zKQv2m+shA6phFMD9dQipg8NMocRJifYahV8eFmUVrGJgDoSqWC4yXaXM6GlzXA9PJdAHDOizPPCZs7NyFC4vF65pficlvfUvdyQar69K2iJmUkFN9V/+dHcxJUeBx5L74HbV+2k4J/dd8MA1+QXevqPKuY0Ym57X7P9yYjReXFWRpkug1z9koW7Sd3bGHvNNZAkDoAK5v835e/TS2MLAcfzUlJYsWsHxsKE9VFqQZvxrSMpyufupczDGvmAafIAwPAYBPat9wKOplaNGAkg4fvwmUiCwnlDtSjW7iRKlinnb1d4roSFJgHzwWNDZe5rLnCqgR9qIZjXLhCPT83gfe8Wwnen03dSjtPrYPRbJ+Y3DmQKnV//T7v0UjrLCI4nkNfKqfetW5w1lX3oRTeue/P5/zSLLv0g6jHZjG/YVFj8np4zgrxEInDvSJObCex6fCyblNz2KHMzl4Z4h1yXcQcx897yXTecz1Gg3NE22aHFjTyHWBYt19lt8uK4rhM09+b91YvMvxxXwNxKuDnCTYRBK5hR8Gqh0GloWetS5kcT7a7Zz4rtXNIZfTyXuCNbrX8ehB+dZU6ZVu0htSf7XAwHjw/hUdYVZX7qa5JMMT01KmHHUYijM7Fr6dF5zkP/eJcNSeFrO8+/2AuuGh4rs7RV1PuW5tAVmvsN/LqW44clgJR8HnBYDkvrQLtYn4yquiGm1O01q+61PVd4rM4nHQR6Zh73eFK+P7sKjcPWNa0oXPV2niwfWRiiRdc1gVo0Y7IT7kv+eYrYm/O7nJ+VHptw5KqTuVSZnm+3DsX2iIATs9VD7A736k14njWxba2Xw7ZazjtQK8oc6feTrZkEwyTPNhHyLXe7eBMjYPksogQ1ZUpDLPq4wUkC7r9qKHKel4ktpmOVnwL1vSNv1isY9QvUAPuf2G1zouuo2td04t0P2Eq46MUx5LUayTXUL1MM4ogs0aK3ME2dgstW0HrNKHYo1X6lPpP+Op4lFMhiYZJmsjL5+MrQvvSddh25H7feA1SUYYeQRtilXieFWE3RhrFJeugg7YFrVFAtbQkbW0EUXqRKXnFvks8iTa86gvpT5O5lCK01cDERVKxSLOSB4rpuV3Fmw3eWDdnWPj8kvSe24rmihzMemg17oiR6OcUGPenmTHKQDe2OrRkby9o/7mcPprto0270RTj9udBvtqT9MVNJs9Fs7M9X33hjRJ+u8repRGf4X0TFXExtvJembhIdNedLL107HynKdnr2vd91pBGrYZ+LpGXG3jkZrw8ZxtPh9zTcBPwtZ+cuJ588iMltdrZh9oor+pQ6xy/BCL2NoFK85Ddy5vc8FlEsJ25LDDESHMeaDVU22dHnCE7TnbQh4Mkrfbulv33VHHKGY+2cisVKeXK87HxIZv+In3Wem7t5HXkQ+wcz9r/6j/aT2y1JPWk18lzXCKkv5SZenp9CT1Z+ODRiOdLcxRRPjKOLZjddhsuM7jluiisJt2rOqY1PWAWj7JqzI9dOGntsXO7NZebhLLkoUbtA7pOm9eXU208Xk0v4X0pPq+POe11taBzfoK7sdEuzb80Bq/jwKrklfyvc61Ot/9s47rNp9qO+7nOrH8ymvu+AaaPv6e0w9H7G80ucNhE4D+3kLvTqZCnFvWEXchhT0ImZhdYuR+spIYwfg+M3hotgivpIhJzaFwONRUnMKsE89O1aVdQKoptNqEV1ZZeicmQdOcbIwHdyLPnfhY4W0Zl95XFrKEp6jbcCnPCqMrBEsaBTOlAeuc0clvXpWiU3K8kgIidmoSH8D1DTnk5ZOEeg2VSOPG/VnfJULrDXPoeug/DzUbCwCNrhvVEnMeSsZeZapMJ2qhN9Xwb+35nYZKIbO3RRCaLyqAfgAR1tZp+MllTFu4dJ1gFewdYeUk8iyJI27cMDJvBAsbQhkPRWr5T6cZlXnKj9sy+sYT0Ifi+jYJc3yXecj0pzVPOwVuPt8BXZsZTICPktfpEEQ7VUcagutjjp07xeXTDLoPXaHcrD12WuWKZh8lOsy0bZ8fSCdtVzjM/T5ZfShg9B2OT59TT8xTmRwOmunM6V1gJz4tf/F2Ow9XhYW2luWs8br9TtV4JmtHrJ8U9jQArYi5AIg7RBWX1ScPxRgXxlB8mCH80+fA9Ry4Pi5cdBKWnbAK0K5o2IlXA9UMabVVEXXnK2wBk1be5DGFhV7GnCutA2v+GP5mHkGaV+5c91P1YqGDP5FPtIr1QxDO17hz1nC7NkoghSgWc/6zY36ehub5gUUrPCbkcI1ukUEdSMXkafLUxVtruuykn4VMf37LdBlprA0926I4yy2j0+qoXHIV4NChwcZNHgnXS3w3+umnNsea29fD5RLBYmMfztsnwUPwrYp3tukyKIyb4BMafXj+jvQUxxnPW4IlHOLe/oNOWRP79X4CVB/D/ADpCHaitB4V4M64XBqL11RnbLpTG6UvDDPJ3jAur5XXwwNqoQOGKzbfFCf2cqDpwjUZyerjIK4LZNHV9t1R8Ia+Uxeg0vOa4qRneck0y/1X0AatRQtiTqzrQxZevc9G5xE+qpyGTRsNNJd1WGa+veMx15juLsAdQw5z2pQp3p/c58oPwnlvzoLdCWvjgVz3Cl+lPf65f0Rj+0KEfW1OLp0cuEp4eFs3/pEAEK/4UiEsnt/NYTTPmvlWo6Ek+RHw6corTR1uN77qw4HPsG5aQ7DN90gLo7FoZHMArquUukUV+pBYMIsqeH7eweoyMBXZ5c2Gf5+f7aaM8lNWHSlCRZM3Obxqd10XuKbNlsrLPs7Uhd2HuPEDZgC1YfuzdYa0iYp1CEWKkBJIdZ5YZSPla/tM5cMe4THzfurs0NxQTflU1pUjwn9KGy0pP2+eUsob9gExvQ5H6cSgd8xgEGyBg7ZqgkmYnjF0blQYc8zDbuGpUOGQ8ix4yB5WfF3TpGnBOZ1qcj1EF3h5kxfWZmpkvcDpIYHkNhswnbHEjCJqUoyvgh2rbH9kPMPg47xo03Zf7MC0U9wmgTtGBGL2WZyArXPIYUiMh+BymPx50fPb70ZzfmranaMcbch/t/2jPB6CWOl5NCVrJcyjq7gzVkQxxnTQXk9Me80jV/FaTAuAwf+4Ag+xPiKYOGVcCaIvx/tfUfLqnlc748TnK/Ecbjfy+IdPv1g7gNlF62qbZEMRD9uiJDHMjBtFO0d8zQOMWibvQfzfu+T2j+nJvg5XU3LgUfshi64FJ69Hb6mRf/W9IuPnVnfhcgXGBPepLxWOrh1txqb7pPEoxRGbx0iUMCxisrErP3FitMp2GnY+eht8wPFSxPTuOFvjuNq3qHmYsJycZ7ymstVdx5t5XpEZAfJhGkcbhZ5SeXYA6sLdkh04RkzifADAvoJjdum/d/mCnmWN4doUbW11c6jZgHnEUXV8V77F1VaaFWtLNa+RNCBtzRJM2aY84+WWZ/yBpx+O2N94Ok2iSrChvKLIManlioLYft+1eXZ6vG3ox6S2IL0Hoet30h7DKZMDKJx/l8Zdg9EWCdpXMPrp1DtcJSYrmCftiHGfxqW2s+qoGvaq+475eL2dQJywGDHoooOgjyqETKilXeRbJxC4FINboNlI9b6xgeA6RChie/0ceioZO93pl62svWqUgjoevPgfxjstUlfaDsM6rdKUtsx4WQq3ULZyv9parZ7PquN061gz2fi37dxVh/VZK/F8QmGrJ/wrhLWenR+h/K2TBBv91CKS0RB0IjIdrwwHtZGU22psuOHTKX6XtjAFbzKnpIj2ypOUAv6wGA4qWKcs60pTGlt6Vk9TW1/UN8OIP+RxxtzRy4an46Djt4SfpcV07+zDPj/NeyDWr+R4tQnru5afB0bEd8Yu+HU10swr5gtOwwDyKWBHOPcpPEdrTNV5xDA4ZNXtTlUo1ilZCR0z4aITmunUs8Ntn0nuDcR9WnGnttMuO2Rb2l3PRTUv0NUkO5gtbmvi+n1Rz+rbjMA7HnuS8QzDC/m64YFF9UnvuKuOeEu32KFED0d4TqnqDGVqMdxuHEXY2q4vtS0pn2jGtPxmw6uKpICBpnuwGBfHnP+d3dw13eCr05PeHMZU/vZkWMNqTmnxbTrRFYi0PHfG8QO78yfmPclCAOGAfdXh5n11Qmy7v21cExuMvC/aONBcBMUvjuNaJupPdepWb1ogUB5DJDrd2rp7h6Z/heZ/pPdSK77bDQEg2a07vjXn7eiP5+8xtKirMoeTAbEJ5avj3dGrwcROHZ9Pevm1Fatsu8jWyVrm0fX5odtLHi3HVOjLeEHv1A7zhgQ7qU3Bfyvf7PpibTEPiwXay/im2TjTGWdjTBUnpxm3xX3ZENI8u+OhrK+4Y3X5XPYQnbF5EctO9Ko6ufuq/QOcy46UFWHnhq+m36f2ROneyapECI0h6b2g39ExK2a6X2xKSzRLyo1g6uQPoatRaPOW/anRQqWtr/DsLnw442Q7YS2IDdipfqb52MA5F4JVAPk0B8ATc9Ok2byTJoy2L8y1HJnjJ5Vpkv2xL6Bhm2d+X7DXw07eHhmrHbWJvV0/xNkls3BqeFZmtCN+3QHD6fBwu5uCkZPbhJwulRSm2B2pW7ckO3IB4OEnYnVt7p2nbq3uy+1k5GtigMy/Wp68Hh7xxGVO7+90KaOdNEZuo/MakFg0rgo3sNa8fA3qMhtSjVbpN8pf4ln0WWVAtFXypH4VPZjXPLoyIRtK/bciu8LM8kYKzJ18KvJvXwMp+RnlDUAb7Hd0UOnthV6SxiCEe/kE+vFBlcPS841GxNQ6U/tN3Tvgh+nf6CC1LinjE++5+obW3k1pvIl2tvteDc5X9gRPWz7swXXMpaDMg9uITHc6g+F/rQ3IjkMAt1facBvNGG3r9h1tWuSX2zZepaADC8neMdbDpmKgp4t3/UZpjnZ9eDEnU1vSw/kXnX44Yn/rqToxmTgVSI5Bvi8V2Im4CEcAoXSz824qwRKnW6IsqCwJjxpiuN5JOp0/FOJPECd60wJiEzZKh8T9VNooEUqnchxfM3OtaNfdagz9yuCTEWwRU8YntkU7Dud6SlpCKbsC5icFlcfN+zZyXr9HsPYLaqdVv6/f0RbjGPndCs9IeBEkQyz0CZFwpPACzPiuVsaeP6zMc43LdhLL37Gi46RRYNkMLyFGzfU57VJIqZnHBt53WXv9VUFVuw/SjWGeY4LlaLOTdfqUMAKDgH1X0NA5Vj8J5CnTebONmyH345r51erkNgzG8XFBHgp9CvR6zNOXcees41YtNLVCvykuCK7fzTC31ycWjKILX1g72PYQo3Zv3MmyMbxcfOpA5gl0lXk6Wx/A9Tvg8nsnfWekOR3Hp8TYs0OL4YixV0yDd2CefO0UP51hpvUxcb7saTrd+tDsFH8iQlN7+/rAulOYd9e7M9Gfq80JD03NYXQjzwAeCvm4ZtglX0Aalv8j79xVP7pP2uicpwCediLDT/PSOOgluJ6YBvKYoaSGwfPTT3MAPj6eeNCpxhmGamCMa4Uvfj62Xc2xSVApXLHoNMxFbEezJJiTl8j6P75d0Kfg8p3h38c6CUt9ifKX4vock6V/DuAp0HGZbrVwN8yR+vw+oM9h88+DUhVNUH1Htj36UOi45lh9H+B7n+Q5jWN9zD4olmxbd8TSLmY3rI2WHR3jCcinhowLvgmic5YnfojYT7NZJIII7+1Gg+MXJIet/eFznngi72wO3kzySG0M0ugLPa+OXRum1jGXHM80nxweHhKP8tAZSV7lg+ZB1LtwuDmaiNdI5SsEJz9z/YTDDndGtYrzINlP6gIrgoc/f0g++a8En5M/8Z6Zyd7zKoONu5boHqoWVZnHyF9fGo10zrF11URBvJKc9ewhY2XLN9+vBdEtOX4kP2P+79FL5DPfbzR5qZ2mKafcpmG9HPTqK8bKc1IXwry4hyl8rDIrZJXRVd1ZbDox47Iz7Ln/tY4UXppxeAHMmJj2eGyy45909yfxE8rni36dfss4TG0it+lz1NuKN5UOGL6GJyQ9m+cC+Pc8echOqx/pC0mEZARQT1HzYpAnFtWKTJtr04TlqfMIWcZm2sdatCv0wM6/NDfrgJ/suZJuN5Y6L3NILUxxDY/qfBhO49081vw82S/cT6nlMa87wAqW6e3dLiTyJysu2Plz6ovLl63ihftl79Frkpusg1fZ5jyXIyas+hueR9/TCR3vW9OP8Vww+l+A6vzE5WrpKNvPrX6J5l2T2KYMB8Rz/tAH1pU2yViZAMRyRhWiRUcWwdpoy/TDdMWwkgNu2Z+gzX12f6rlTfswHoQCmYqDfthOUI6K9liy3jfA8vyQBucVz6eNVpEHuzwPmnzkKEr8F/qTOa+c5wkAPM28c4f8kLDPMpBzXIXrBuh6CRuAOre7flv0Cu+XPAT6KIoY9Tm1NWalmhgtwcuTvOOPvDm+403+6bTS6L9OJ3watjbkv8a4ICoUGgQQUTyMpp/XMJqT5ND1uq9rmON1CRS9pt02rwdROjnsg41M8wyXs8QTM1SQIMo49BO/fFJ2u8+24QvpDtsYUzU6dN111pPWGl0ndZvR1hLl08JsfxqOn9gOJlR7Kuag0LO275QHVK+T25V+zmflwIX3o7v2JOwUjjzj7TKPFmxs0D+rrA3YS15+zn1nHG8sqZbt5tALGdDJpugfy5jKq2mzUKv3W766Nlx1Lea1Qcp36lDw1v1Zlff8Po0J96f0TQmmtOntUF/YMcWuSlPN31MbUbZWzfqFINuuzrYrDuOUudK69ApvD8W6W7m02RxB4S8AAQAASURBVF7zc0oxhkuWJr5fNhzNvPm7+oYaWqdMehNsc18zR7b1c2AfGwb38C6eX5g8jWmu8oUGZx095AbKa8mwxOY73fFT20v2K7fVzdvfU3pFNj/SH2g6TRAAx4l13JV8U2aV7dv+6q6KO0blDt7ZyDuVvdvoZFS3OOP6gmntBeqknxn57ww/3zl3C8YbfX+Z56R4fbEeaZj5GSa5p7FD/SzsZkXYFDa2T2fBe9iPsLpiyJ9dGdcdqtBl5bpLYWCs37F4w/MmBOK7RLxgEfoMQ7GBIxlo/sw/LBxznEql7xk/749npe+0g4+VSFmKTlpISeMu6Ogg/V1YYXuu/JydXsvIoV2mtUyhPX4mBAt1Nr+7RczKz2Xb56M8F0RI3a2+buw7hSa0rx48P0W9GZlbPqHvaO+J9XfzC/1unLfqGjv3QxCO0ntg9jpP/TzWlJjPgmu95zyw+VDGwsffFwZOOHQ6DGfOzt/C2KhgnTpwoyRXntrKnUrT76R3ytzInsruuI8dK9RC91/VN7p0XJRoMx/yFfyykn/H0t+R/xtohYe+1I2afJ28y428qKvkvRurTs95eafODUzsyD3RUbR/oPMuLPGx2W7hoMtj9byiSb0Zuy/Rwy/ducsymOrbaOPrJNq2c3wmWT1JMJVUHbcpFPxdez/Sz08NnW0231dwXnRur++lHfmOXvUqNfLvqzbKuU4C5W5DIn/vZAZ6fvYODL/Ku8OztFBKf4y/zS+RHMEHnlvl2Ttw3Og6rluFPt/p9ZSfFyVPC4i3KdGz7q9cN622QXL2yC6qKk4CTwfdrYWtdE6ad01iR1/KRXqvO51jAblxoESZn5Pe5CvBRwahmexH18eFNlfHdSDmxGJn1bQLJeWJz6fEpsq1sbII0iLf457VZCf432vdIncWpHMumtGunjpfPcUGed3zd3MrvF+ct3FCcjVq4YdLvhxd6Ty4mvp2psdY80jwAts8cW+R13vbdtehDHvtS4c33oQceSqcCd4CMwhOopdsx+XvUmmZvkeemBMEkzbfG72ebcmNX3rZTrf9Co1vOjFVU2TPO+WjXHl3q6cX0mmWBlJd23rlyQ54Fw9flf9dFVW/f1X3F3Banb7S0dEX0stTmwWOOzvppT53oMtXaw+tuPwZsm05AqVfIyd94i27yNnLm3rsPp/k+D6382JgmSaAt+R3259TH5ux6ub1cb4SjH/o6ceJ2N9gCsVyakDL2QAiVN8KxrtsmzBLaQGY23hi2zEa8y3dC0b6KDPngJUUMXO+zPoU49Mr8cwTVv2wxZanJiY2s2qG9znzTQW4NxBFFfgU4IMUTIbfQHBlftipjbmLksJqufJPpxz8VLD6zsXR34MX+L4wT0/FIlhBLmdvhGEYQ4IwPv2e1GiDmFhyrI31TBUYajuWG0aYdhFVhmv05Du6atig2FUkiJ1w22kXzu93sDkq/K4XKzJPPa8+eL2J7kiAsbPPP4NOJeetMHG4XL+jVD807o/Fhck1qwMpGUYEmMp00NAdlPo51j0+Pm51FyGHsjVg40SlTW2HwXdgqt8nilVebOetXvPEoBuRKvMkqgzF8znvaX2YkFYBHmo3Ytlp9QdoooDmHwm/5LzlMWAUxT2+su6ErSE+PrFCXXmbPF667iP2OeaOZLmAx/c1T1Iy2PQ7IN8A/QCefxm2S9Xw8oG1GaQYMKKgU84GyIUZ0g4+ORdeIvnO5qJNyLd52lnpBLN8Kzuldc62OGF9yaRHBSJklp/eYEfuHKR52pToaIbwtdMKonGfKwB82unSx+PC43GZ+JjwePjiiz5n+Kh5spbvjNVrTNT5zmaWB3wqWAXycUHGNU/s/vSAPC58/O6JS2WGQfaTxVGB43n2U4Zmx63PA8Lf9dMj3aOkhkcZivFh8+NZwgkMxXhohI5WP9k8MEMfq8z5JLoWcZxWQLzSFnTGJ/D4szy0a4OArjL8x/VoLgOQPk3vtoVF271c52Gg0solA4BkRazJKJL+zpEFfE7W05bOr+smiXhHc1wU8/R54qmZt/u78Ym5W7zwHcZF8CHSFXgXZQ2XuZx8k3d1C/fbzlqwTLTp9znhmXNn6Rti8y4tZBPvryc8K++6Psp90NTX0Meo7qUnER4dL36KhMNfN7KZySiiYxQ9c+lzC5YIC1nDsWONVezqNbyn0zG54YlPhYX71qRzhp5jUVHGp059UPMYQpEirkzYEeE2V3jQDPCMNKKJtqu+E/qEqp00t5Ox3BbTKME0s2jg8hpiGzbyLmOvL921U/LsiXg/wwGAnbDb0NfoFzwfq51B77c7G3XV42Po/YxTFZff35vrE+TyW98V/bz/kY4pNr7V58zLKHJAXXxLurQXDn6KfgyIPiY9zchHUsfPRXqRnxs/aOg56OcqeUG8kWFrcOBtqttDdWLQHBeTE+nedNllSjtfOjhCxuueBw2+PU+Db5bXt4tirAM4T2ZcKqadixm9xttU2ffIbXYYiJdTe2Hzsv1KNNbZu9FPM22mXZ3lqFAbYQYX3STJ62uyP3Yo+hiG3RljUj6d7h5AXOVCekyAYv3bTo+l8XM9gORSUSh8o60IXbvid2VyfcJ12FeyFxdSDoxSETq8cDavb2BGUPqUSQ+CeULvAobZt3HHI5V1nam9dinm8HqXwpCX+QcgbPPrMW1WfSBsntCnSySXpP8UdLmulvSyCqptVHbdKTlaGf8+1m4jmO0jFg0o2uSx97K+nhCCDRENKE6HBkCShlGNpgHk+4WBTFv1PmJ/JWS/cvsguw4AnjP88DDb0Ku6rmG3Xy2nKd8fK6LTXixOVYfdbUt2xgIzVDHo2bxihujDcC3DTnVbJINV+YQ56TAC+HpoOpGuFGUsGCFyOGP6jCtuKjMUzOhkhq80z30cnPeUlBxDdDJ2/V5/QdP8zOtnWP0xr8n5VW5XlsOLb1M9jEvvyknOU7G0rurlWWbTs003vii/rDnP69zJznMbk/VWq2ezmbp+afltnyHPB7VBeTadJ01p43tsSNWmZdJZqzsxzZbxqH1qnc4URSrVQeNfYd3adnwTD431NooCUVPSF2uEDrP7bg8ldf252+CFko9oNEUGYzngj5vABKsPmsYl7MUaIcTra+COU7RbA6uc68V1HmzzoqnndJ1h6kdpV7s6VYnemkNrp6EicaGFHlxPy+s0JmuaU/UV5uA1Ba9pXhzmX4X3hEut+Pg9pR+O2N9gWsaSUxMWY8EirKUQL2ds5Kf3p9MKKRReVJ7h+DmpCuKoOyo+aBM1XZiLWAPcu6ZB7IwYxkSacE7Qras5Mcziys18EPdAsAC460rAxQ7fe87QLeq1iyfxbldGI8SUW11dh7XkL++qczOVq4K4KBItOlgJYnCaMUkL+ZykfJeSH4yHjuhBpxLXbxWPhU/4agWafW6bHghYFiAdDIT3d1MYMaRwLeOuSU6ziunYgymcj6VsiJLyIYJuoemYiN54oYcV6+1uWO8zKX7pdVGY2TC5fKHGdz13yhxWnUMElxMiGcnzLiS19mWNlUrA5PVEELkE14FzpD7OHzKmE/OyujwE2YSjwTPThRjvUkTY5I0eBSkskzpOG5pwh6wCEbIYQBjT1zVKflioqNlYDlu18LUZoiXNUMm6nLbDHKSquB4XZijmE8NYuHCYr6c5rXlebQsZpfwBrjl/KIPj5cnCZL5PxvFBlvKi7GYkVbgY1gNvP/LQMk/ahS17J8C6z4fmDM+V4PPdnLxLxCPZMAcKSdCUESy+hJrXeYcch21vn4BNi9SMp4PcS/KtwNPqPiSn2EBJixIsN7jfHMKJ8zjPGUisJRmUHbvxUJxan9MYnvrRpSR80Q6AjwvDdlv9gS6Z3urz7lkyphRIoZ+7xGNJGwVOi8VbeFT+hI+pwA1Yvw+u0vhxMeGAT++fwxntKtAZy3eqxDsT5sS76qL2l/SSqgfQMwGw2SYbUHn+ywsa/JF+hXRQYbY8p1dVT4wXVRn7YnkvyouiPzOljaGFPvv8AK/Kh7PSyzuvsE1azlvr/Hu1MHzix1+xtTunZpde5RG9nZk3BXGrr3Wyf4Ol6i2kq6T3tQzrEZRvc6ziHk+3slGIr1F5ry91XwG/I7TtH9VZG7xdBqjyaINR9w7eCQx2vrlO6+Tueq4g7lTVIclODocmVZccS9jndF7zQMhgDkHZ9lGQ2uVGBWpXyay2AaxTrLXrjPe7+IC+UO6bdk3Ot7DdpYOM7dv0MpkYy5JVU46IS+jZKdLHnVyPMZwwuI0nBR53vL6KqjTznyIp7WW14kus7XBcTDqP64UUje3MDMR/fzHdjVnl4Q7fqzqTQSfpUbIllX4XmITz3cHudVDWVJ/PUZ/nXJY+O7ZyalOQdccNxEaXjlfeRuUptZlfSwcs/MK/CxTXL4ygscmen1Pdm/puJ7c2farra1cP523SV3WSd9K2vvgLUP8qSsnRiXzT9svQw28B1tTbybM3yrXZ3o2yFH19I/+BZiq8mzP2Xb75js3RlE8bHb9a/g8o/XDE/paT7zB9YFE8MxnV2H3u4VbqItQsb0rAhXTqo3WUAGvSNAzNmf52Z0zs2NJ1/xbtzMkLU6Y0+g63Khz5tIrdG7Yr+YCqK2hYyruu72FcR732nE4DhTV3EsZePHBpB+Ag2O5VS3WrNWu4YDgu3XYt8SJ0UmD4j8aE84rtzhx2x0TawWLOt0vRnqgKBseL40r1FEUJQL5XxZ9dfArYxsedwc3pn9CdL9s5RTsbZayTR6AF6tBnxxq2XLHlGVh3hHqyMrzgGe+fWM4uy4tvtr3QT4G4URDI3duPu0HNoItTsf6bEakyTxzLwjPvvpy26iwvjwsybCPhkzuF7R4VHYhTrtHPAeBDJ97j1ezbsNPmlyIck7ObCx9BFnwaE/kOH7/f7/rA+rTT41Xxrw4noWeVFwQPeoZPcJVxevcxpZ2VuIDxKfj4/4FCM+sa05sUfNQXJJxH+TgKIB90tCPmBU+cWcf1pPtw6ITm9bkmRYQmHjpPbn5f/fEup5NPiqCt4HG+O/d3dgpXBX/2/36Lk3tsRD+fAtVHvLsuwWWnTMfjCqenjFXuugRPPonqhr8YhEVjm7RsPDDu1LGsPoYPhYznuh+I59SYbfhJ4TTVRLNT+zHHRz9HjFucFPeTyI95/OMx8p1AGAr5di3HswIKO9Hu9K0aGxgcz35XuDzX6e3q0NgcZZWP8Sve9cz5Sx6nw+0UGfERAHNCk9GtgnWvsMtHkwndxp/h0RBIzrC+kJxxzKfLweNuoUEi0gK17bjxd48FH6fNWBeAd8kKPU9y5cGCjOq65ilLZZySjAVobKjc5rzyzSesR9AphkskO+dL2nbWDotooFhzu/S7jok/9gPd3l49hfbSoCGRAo6owTJBUKf8xuf5e5xadlrAlBk8RxJN8xgp5r2xTHcoeXn8njgny9fNtbjXx2Cu8s7hcTw4K17zmgYBSCcTQtepuPHmPWqIApsT1htiPBEvqeMwx33VwY7O9En5tzxdqrgocz3G9lp4qE7aOkejnNeHxXtWQ/u4/0h7ihMwdY6kuVgIhmWUNsPP70rFSa+X/P3+ipqGyJiO+MSMgyBYkUk8n6664s6soKlsj3Qp7rTeTpA0dI2FCpDclJv6vW0dsE3Fe53bAtUdT+X2Ydc0uhwo8j9VaTSReA+PK29stDaVI7wAO9+92TxX8ddFS4ry/o7tvGvlSXzpkryAX2CebWWcRB+pufrO28/l12RoI4FUGDwqDsrAtuNndOlsUopztOY/eu9nB4Qb4TEbOu1/Kh4n/TY6U+hjIkO/AZconp+OgPlPnjrRZDrFpsYGH7c27FRUvQqA6SHkg9Gyn4K9vpHt6DQh1tsqDxo9kfUhmB7c0g0AvRT6tHYhca2PDJkn6GPN4DBR/WSjrH6kdQPQd5fjgmVL+knQVpADscYFrDWCcSXeoRjWx0IPIZP9LmMs2nbc+0lnQURAAoDPz2kw8D2qbEf2jlUPXwxy3ub3qR7Lx0zWf8tj4ihsSTttp9/HvvnW++pfL0NOcghbHrdvfZ6nO2uxxsR/c92Ot6FrjejT8byY76QHKXyQeLAiRVMS58Mg/vdE0mXnOh/BcUi8UTHWw3we+brk6dSkX+/UyPAql6MNkHwhNJz4Z8qjBSdJ37CvvEmR2o057UNV1r9T2UaHrNF+UpsF9oqLzaFY9KN6Z73Xe/HBp5oqm2c5xfC5DIPLC2n52irmXDCviYZe5W3Rb9flu7WBte68w32HA3/v8PJGhHp/LNfhfP9VutuwsOsv2OdSmeuniJdsF7rvpW/UP4v84SpfdWsb/6V33dpEDb2vOh14x3nTHsmpsMHv2jN4tg1pWOU73bTmq5shX9qlhIu2H38g6Ycj9jecYuIqIpxmdxrABXx1DPLup7qTIQmo2h6l2/ACBwU4QrH54nVXRQlrtOXhUHHVaWmTek18D20rYXB5OIDVj1W0hneZSpPO/Nea0GmxUZAcM2mxs+IlwVhDJFqzzbbHtLBFjDvRgeetY+VOSMl/sRDgoe+K0FDZL/7mvnRGtIfc2LKrKdeuxGjuQ/x2h5kvACgwLnMiqkTILIHp2+YkTsYO49JgZcFeUzLQqQwAcDhfr3h8zHCqavHJ3LHjpVOYYNCrmIwEi8CcRa496Vpcj4UI3RbQlqEOjHHNkLAEY+oc4Snw7a95E4FaFGZT/KPNB5KBnfDjoNeF6XBwynK8uiOWHLDJaYE1Tmuxf+cj22YJLbSrZbx5bCn/sFOdzz/iCUudECwD1R3Rl514MOaYxkUwFzg+rmWs0cKKeDkAemGF6BWYkTsZTOzu9WrHQoaaAYyHPavhf1XmaVmIGfwaocx8h7s+BZeFIh6/e+YprILLTpWKTCP0+ckIt6/2/TJD1R2VYk5Sd4aGEzUGmJpS5y+y5oelMSb3nhtqECGFUz02FmwI+8JFvVtXn4Yr4ZDQY4U3FsXHtyfGuPB8DlzPEdPUWD+gix48+gE7+gGNkFLyKVm+VTmmNHesW3Xaer7EtyShqa2Pn3kSLXNUqZz3jeru1n64jHcpwsX7JoemHPP1zhEbC3ea664OUDa+7wyrxFMO+AAQm5488kcKr2q/Z3habMb2hEOWI43bYh4bbCDzftedLg/VagscXeLQYpDpuJ2bALDaZl5n7QWviYrK8LP4Dv6rqZ67xOMtXUgjancvu3hcdQaHXgDBiPCGq65BehiwNjtESnSfT3Zt4U652Mift33gecjCmGHwsa6g8XxBP36pqckIV74TPjFxFqJM1zyKemB0bbpndKHp37up1g8g6+XV0e4bNt0CZd5o/fM6h4cst9C6eh3o7ER7P9JKuointU8OKWTBm3wh+BxA46prfpzkSpWRN6naJiqADLFNRjv/rbaX5wEw7ed6HUvQ9LnTvX9k8hued8e+CTKu0I/Jq1PCLXgycdTZ7RsuDrxze+ZyzefnG+MVdtipjyf5zLAR32MZwXTpsryzc0Mn6XBR+9m8X3RCv2vfpclvdQpIJ2emvK3+y17nVyZq7QPDWPVvmc9cS5iOKOMNWFfpgPSWGY5ZYhPiZSFB5WEVPvO1Qj8rsVwt+tTcNLs211cdWeh7VKfYNrgl3bGObXUwxZiY49qNPqbPV50NmnQ5aJtGEn8oFQX+qWMbswF1fNUjHj5ZkR2ZqRzhoOCMlYLJtnf6c2fqw+zQzhk780kKS1wdr57/9mBWx2ds02yIlIetu53CgUajq+31TBJg2922FYcvxltEY80kbTQoeI9qTsOuSOFhU1ldOl+UZceg5Lwpn9IcKHzVOj0/GofinXxIvF4JhNr/pmzmVYc89j0NxUG+q797MUeP67SnflZ5VfKGrCbZVTcmCRMAjQH34c6WT/09wXjT3674ZiNZJh/PVsVoZHuX+CozbjxdSVP7UMsG/MuuXZnQj02BrTrSc8W6aEtpHKPMchyvCGj7PPFIojV/u34gGZbOjqr9TPTFr+6csIW3uz35pUR9jOsuYxwX77mjhU7d4c+jv8Tanzr95NU8b1/i7Sb9nDK/dvrhiP0NpjR5iRCdcW/6nGIS8ch1tIbRSVA6oW+7P5sCrregYT5FweZ7utwoiAWnK0+2xJBtF/GEqTDDMnm9D1t4HF4cCrBeKIS1H9xnIBmpvoM/FncvSQJuK19wEwYEKeHB/A6KXTwb2Jg8GzPc/vUQDF0LvbN6uxPutGgp+9i340RCjPMpvQ/8SHkGErrNmGjNT0pR0o2cBPxeWdFM/4KM/60h+6Q77+LEotfNO4lDgzbirSct7b5YBVZ4p0CMvShOvKjbQVJ6pvM+FVVJjqrYPFS9EoJ5T/G3+X6elp+ZB+3OmvdEu1NpzbNQVCgcazhamK4+5kKrPooDFgvfQmPdOmB5bLHKhtOVysSCjK7ngVarbyjxJIcZVN9zhheHrHxCjkQ+CTBDdGkewwtm4A2oOfjcoZh2IlNfYE5DGTZmIPpg3uQ0WnfjAhPmU0qDMh2wuNYA6FPwdIVYpmM1takIg/m65hb62PVMbazT2JP2lU/7Wh6n11hcsLo9nyrw/HwkWk/3Y/lmAj9dXhzWXgesThHE6WTxcRCEAzzG0nYoz3tvBWMoHo9PXNfA0+94Er9jV+b9sIaDdE+Izd9wxjJNF9rkZzF8xGu53jh1SWCr5VuIorrZUVXkfOKLXH6xt8wfHeaaH8g8mOYbgBVGuJxgrOXF8or62OV6kvPI74amfCmJnQTyvjJf93l/IcYuHH4jt+N32Xj47zQeWPniDkLGGcsgwVy0ZFxGm0Q/3ifJMC9DQ+amBuPPoogIF7X/iS/Yj9ZJWtmRyzLshm63e5mNL++ry4FUZzNWW/28+S3x8oVfHh/XEbcFVcXuoOHIK2Qs1vuEEnzNSdo0dt5X2qGbdGyCaTMYxfG58iW9nfqbaE4k0XbdWHn5qe7CE1q9xvvv4BKvWDx9PbtbwKgLCXXedbxtC4G3VXrTJo8Jw3BX34+U5wyw8wM0z02HTVkbOkV9n+rIMESeu3ablE630jMPBemLM3ise2i9fbdnQLQ477CadKg1elHkIdnEQMdO29WXzOJtqUpTljQ/wpZ4CAZ0OpgUGMa79sVz2lBSaV2bZzX5vHG+UucRtVdttCRXSM45CtJ4HunKHNSHE1DsWOhCR7dw0etkF/tztyPLSaOjrScgHo0NBrcf03OWE/45FEr2YsDlmyc7p07LXOmTnVXRfjeRStkXEytvJJ0/wpEX91xSfrNnr2+L6OSyqeR6qm/i1XUadOtTBzOQo6yErmR/H3Y3bEO32/2R9L7qi66bx3oIsE4cui1IYy4DcYoy7vR7YG7gEAUe7mgv7V7rhO6yxW1+owlZLVjrDO5kTDTYOVkBedyMMdMBRQ2Qp9BpXhCjktUOEBGH3Ca9wlabn24zARdGkcvfn3niXdcKS7yiKY2oTxVzQzlgG9158q++MA6u57zO5vG4Zh0flzlQpKWFRItj9XMLl+xRg2zshBT7zTHtbNk2IcPKz2hj17QZXafkk5axhgnEGpHRTdz/+iT6ZVou6yLVOalAovttnY3y8ib25FThSG2kz6nVl2yeRi8LuOwv7KyO/1adgWHn54JkJ1b9n+tILJUiO9zplif4ox+ljq4PLKu7O1gT3Eq4rOJBgVi3PsisaltsbTFv5Xle4a9wlXcKrPUX52k3OgfbPbXOLVRyGmvd8/jvOsZwWDS+13D3G51gH7u0mdrr0wVLmwStPhY6FhFvF2nR7ceYTwXGbjzbq+FkvUtr5VrGAKC5qPk394EjjURBbnfHyUnFiPabOX+ng53eL51eWji6uiJX7SfOcP9Fpx+O2N9qcp1A14R1wbsWVZaSDLATxCld470TpC/mnBjoMmCxnUTtFlkxmrslUzdI0lIfUAzjNtTRaASeTIaUFmBd0A2ur+mfYJrPtsifGWbTN8llow5bNL0+/O7Jm5MiruvxTluvKi67lghDWI3NDg43LpSEJj/fwkP6yUVT+ph5d0ZzXUhgZlsdzd6Hq4R+jF+hnE4YfOw3YVrRRgpFcghesF2rq99ez/XQeQJDkRZkoz7HFwp+mIEPe/lpGqWfZPUTh4+1QxOCOB2pl0D/7DHb/tBlAAQdSlYuXaH3U3xAuj90m04qKdTxMqJGDoM0dIWE/p3Pf5nzzbRkfVgY6wuBr8dPWM4vwXTMPud4L/6SlcXrWw4llZLnexL/KbTmp5zSojjxvdR9r1aRnbQmrwXrOTuDfX6Mzxlmyg5MmpGtEYrH8ysZJjGXBgHEJ0+HQL49p9GmZ5VuPHxn79rhq85j+bSrvzsZ3cwLTvz7KVC3vl2X8ZDC7vC8aMHHJvfcbSzAE3iKZLgsXzhddeJDP0eEfnXa9YWscMgq1WX1X8YIxseV5q87UuEnYw3mzfhwA/yyO7vt9LU8rghfxYtagQM7JXuJ4Nu3J3738YnP5wM/4SN2/jsO8ZTFu4JGJdFy3GEcvNHzaqZrluPRh/kxiuMxeLrxXPVxz8O1aJ9p3b9auS2kE5VLKPU5wXkrrMyniYe64Z1O0pdU9ZcNLySL/IqFCHVf5J+HQ5cLcfjLT9+nU6/NooTqPGnJzy/IcWEcxJey/C84DlIt4TB92n0CQ9c1EnWjlApsEwYNjCJCr9e7zZJsdFp0HHaDwDqIelEJmLuU9ZTFC7260IOsDm636jDgvpFj20Op5vmj0Q++SiP0VoDKI+t8vLnLdUU7Vcx6Du927hYD1kLxeidqotZ0GL86IS0oK1a4M12wdzpO9PlpfJMWf1V2vgBgOnIk17uNnuclh3FdlJKSt5u4d47ZlelcfoueUeghxqTiEIioM+0iwo90nxhnr7Ky7PWyXA+Yr2h6Ht+L3Nny3LxrFzC1+R7vTwRV27I5BXeF5FPhnbMv2SycdCfzAM3rKgXZuRS2j84oKMyH6iLaMRU8Rxs1G8mFSAV4aYZxq9NkVzge7Vl1drF+LdGfhdwIK9jpEl+Zz0w7zsOuddo/bAYHp9NhajrlcR2Z5HzY1g730MXfCAdLwTm0XQnI8aRY6458nc1dYidUQ0T1mpQtoIMgNjgoCwanW+h0isLuQ/drdJ5TPrrOtE3hjrCcrxNek1NbTL5bRCWPruT1xXiWqBoLF9SU5/Grump44waeqZcYbtRksOtKdkI4cxFqt/ytkLRFIeKNHTI7EZu6gXXKVJCcfWq26TCbMK0hANmRObAGRGGHIGz8N8/EVAxWxCbnme54paqijQExJPKVNf57lsmOWIc5bcYFNvtytb/o36MawaM3DZ38XCd+V5QmH9DSRbYdFTn8MNZvryPGuJQD1piI9x1AXK0GrGuFFNDnjKSUbEK/IqfQyuaIBbbTeFGOPtPaZ6XByjvuxGy3odd5KfF1b7PVE6jC0wbhBEd15hK/O+qoXaL6QwbUTf2UN4mu2ofyGVVLkz/qeC283b6RC3M92+1PlgVovlc4SQ7x81v9nMrdA7n+1Mps9vw7egrXx5/+0/V9e9fhz2msDUXM8r+ZG1teh8HnhQJbRNFDv9L1NZKfcxvd+nmUaQ4npc0NXs3Jd9KdWqe2V/lKzxptJvsv1Y2eLprDa6kPZZ6md1h1nugy9G/Gz908qiK3q1dyX9u1/d9z+uGI/a2mn0NA63jTesQM/EaBjbzApoSgPAby5M+nIZlDVPhewT/LdKcztqyKXlD4ZCxO2bSw6EyxFhVsi9fZ8Y1YYOUFRIZ/C//QMKz8QHbGURh1bzWDFh5LmaJA5fZyfVWwn9p8tWjwUjGoiqYpu6F4h8I6yfhyxaCcsOzwWfHXChE0/L5RhpSlVoz70m59B6u4wxPIoVmZqBzeQiNepwS9FToZBINXt8HOBG153TgnhzP30e9KBRQXplPpwhyP6xuyoWu7kkXXDvcU1lGWU4SdR3XhRbztgs5kwN4lf+8+O8ZJ3TXNtEyKgSjiRGRUcNd2GnesyRTWkP81DJQcgADojpxZ6UXGKBwk10fo1LXyeFa46vdT8kUBvxPHBmK7j1VoR3TQbxM5wFGnWIsSgnSS/KjBFZzFPPK+Wl1+v+1Wzw0e9JJVzmEvJ8cjzJWfYFbB5/OBz+c8EavXmOGa3Qns+BGYwZz5VKLzAy2lbjhPPpxQSTy8KrNVtpE8qoYw1+15bxcmg3fY12J8MOk7i4ui78xfbsplFsutArM3uu0MvZGHbORs+WvZDSjiX/VEbKO/pA1Vpd524dnLWWZ3nLaRRDpcUn2tseFzkpyst3oX0Uyc9hWQ0Xfoc4Wv4LXqV93zryTHb5BuNXhJl+jufA36cZpj3aOmyk8ECL1M5tyvYQZvQxuHLlT0WNZNip6SHLhUx9bEu/PtFd07vIf67gzu1Eap7yV4NzC93bcf6a00F7XohFTQ3tJnj2lNH/u9Njfc8YHI/kq36t4zLwPOi6rEq17R4ymtxaDyG2v+p3rbPtKpWC3Ns8w1Huq2I4e7P9pVWuqI54o4ZaGAuw/SPPU2G5i7eb3Jdld1XHek/r2UL+V5J09eJoIjlWPdiAg07H3HJW/w4H7VMarNCja5vsl5zsP6YANjbpyeh0ejNA5QdCVdZQ5zznXcdp3WnWvdTgGrY532UbjzUFyHcUe8hyh+IE7ETj1p0nD4F33uKn9fSiTj0e1QFUQYYt/olWzKisJG7wu5XvCT5Gw9SetlaLxCfzL6GXbid4ZpngiPtYEDD9v0MqEXlMkdsPUe0nQKUylksPC7vOGXN3t7pKdUx8mO0nkFVNg6Y574FcwTrFLhgYWpNi9adcQOs684BPF1DagC13OdiPW2bycizxOipbDpROf9vbr6nyIzcf/uZABFJUuhuhlPNDYyrjkHRGe/r5FoQa9FAOFQ8k8/KapYmwS4HW/O89RIMQvUKBfg3jmDvA3uj+ZXDmfYgd60lkzUn7vxS7Kw8kOvkuUeywnWOyT3vUteDx82OgNG5fg38aVtHbPM9elft2iC7HS+S9rUV3n6jaw+Os2w99llmHid3E7q/9IMnW+Fr8DydstbbyXTS2a/ZcPzuzbArS+heVblxFpnvDkoxeVP8wjo7T1+zjpXo/fc0cm2IbiT91g8Qbh/rxKz2oPcms+0rfPO+ZqKvzMPOG9RWibP4MFv3pc2lg5v/Pug6vwhpB+O2N9gEppsSfDSBJyCUxPBuuHtYZuYKfjdKuu0jloZlnwz/8V5OSXBsRR2ICsWsaPLT31VS0GEwgjaDtSx4Agl5HJFncJOkWBek1cCBvFwIaFB7biFWvzzse7acuGz7eT3dhxeP31joV5jcRkL3+EI6hzKRSi68/fIQFxxSgIKkO+Gvm+5rqS4HC6GF8cxw8H48e9117EpIauepdEFrdg4JkXH6+XQIfbPDQUxBTXuoIEkQ5CN35gftKCtQ1cbqbP2aTtep/HnMCPGfA9BuzROEUTIKXmsU3xxD6WHMaZdq76zcu6elOXgGOtuzQi55uGPjJSHhVrVZwndQ/1howQC4Cc7nWhhsyJUDpXTj3kiFB8Sp5HGTwBUppGlFg6zKu0cXgfrFOwEBDF+CsxQxUPDcZUcBJZPTiE3KbGCHTCwQiDY7noOWLyMIMJcBX/yk42q63QrKbw+12PRjE+nqiynI4U8uqyCOU/Wzlh5zDz69DtZZd5xhsW2x5j3mT6fY9GRt/WkMXT8NE76VQahEMapTgD4Nmk2dlN/Fk3RF2K4HX7niYzdGIOPqxiwRaE0lR9DMR7XXNywU7Rzh7PxSe/QAIB5H/L6jUXPvluc5qQ+B/SJuAc2dlH7XBCdO8pF8fHxxONx4fPzgZ9++jYdsJeFWf6zh52QXnjXoZCnRMhcR8kMSQXoZ47u5OMQ6BhzTsUp7KoMF5rr5E/wPDM29YF88r+KGGcnTg+DxgtUxsggnfJ1uF3OjRjGFPrKDXevq1vETG3576fN/7HCmXO7kAbWA24ZlyE/YCdkne+4sUwLbcnYkKlj5JWHlSfxAx+fJmldwPQ6SHeYu9/nXKvTZTn9Mr72fnKEkCV3PdQynrrKc90osNsUWrpKLsObb9xxUB3dS2dyeKjtAkPS36hd7vvcbJP5kutQ43OW1w/jF3RadjHwBl/PApfDLDL/7I7zqitD1knrWQfdywqjXe+nrjKhv2K1ESd/GWaQvDGdJOZiWVTq9P2k5xE7HzxfGN/ARlbVEQWGJxYYrD06yVx1vkTLRCsKLL2eDGVe9Onq25xKpIP8SG8kwt+kGw+Ppm2+brGT+cFaoJO93F70doFoc44VePl36G1MM3ECSZaziubc3l6uPC0SN3J7MkWaY/SO5fdS1zVFkkmLcEVe6EOSvcsbYe5OgDDO2F5luzX+ot/lGesZozwvJ1UARASj68NkaNkIyWGkEz5lycIu3d6DS/BUHqDOs2mxnNcxxMOr+ivajMr8yftQQwDf2d/bIvrqjNm0umxHt+9SHZkJ181u7nSDrChKIeMjrCoBmeZrw9lZdnRw08QNHdF0JIUCD8Pnh13VYgqCmP3up7tw2Xh4mHCnMfoOLHpjPUQ/Ztnr26LJmi9ALeOYIqpUuVDoHXSySypc1O8o+5xlhhHL9c0cjixrN4V/tVujdFS8y5jRh9yhBxB8Djo5MyGTHY3H7Oj1NIWckWQ2aTgCQ0mhGeFf3bnpYdstNDVfHaLmYHSbKeB6Ci4P72xtRNhhs2M9ccQld8i6nZhO2gYpSqoXAYtdQYNpZ4uahiiKYVHelsN14URj/cbhRWLoflXQhMOj5Gls6I1N0WbDP8xuDJQPwXUZbWDYxgfiocP66SdjMe3ScQHD7MlBNiUcPJdlRKedrR/z4lr829C9J6Z5h49YUlo3MPsi7AIUmSkre5dWyONVJtlDKfN6325MddgUiQ9UuXiyg71NlQYv0nxPfBXLbgSWjSr0u9jD1aY76ei7E1r2cgRXYvWV3XsbRUYlm5ezC3eXnLFcTSNSMiCv0zpNqqm+l46y4PV7Y2EH0e+uPOuJUu2hAuNpY/yGgxNOAt+Sxrf6ZYpZm2h3VrMigLGeMuHUVHabD2+mZCbf8ZT0sP9ex2I1Uss4UjR+b0uP1q7brid/SNLj6jx94/De7zP9cMT+xlPHbDoifbUDIxmxvzC9NKZSZmRBVxMb1Fy/TObUpW0HiSkv/3/2/nZXtlzHEsUGNWNlVvUtw8A1YBh+/8ezDdh9u+vkXjFF/xBJDVJSROw8p6pO9t0C1oqIOfVBSRQ/JSqEOTtx+VNwMryn55Uo7YhzefZKKV3qevHeBaLllWYQQlGX/GxI/jPsUkwJKdQs6FRZPwkHr9DolZTm76keqc9dYP+U0ZDAP6otuEQCZwihB0tR2lFKeTisU+w0jrpyHXwofcyNzD7tEo+nYCgI1KXUH+dar+pKeYnzuvDafP1ghLG9rIM24aqI8NVxstbKh9Ob7/DxfpZd6P4uCc8FPO9jvN/hW1nbqPXvvgMJf4Xmww3iKmsZXcYPazL84ZOsixSuiAYCDm/Q52GHE57lMGYfJS5LBpOpkQxYxO/KBYAdjQoBml5wCG3qe+wmRl4rqTrxjQe5u57XDULpVO6nib1m9ZnDqDN01oDTPoEc3uqTpqqAzumA5+cKS3VOhmldfCx0n2ivDXsng9NC5kLAd+eXNUnr/6cTKw27d56cvxl98jZrueRgprLHMX5BH+LZRk5aeOemDIflZVi8jtTmh/i8NVS8kp0CxhcyhtDnhq789Frjqpkuv0t/Bn8+KH+U8U7tFRlOi2IIrDJVWqOv5v/P9rHyvVd86YUMv10vBNfJKLUotfEiE/WjUevD9Inewu38Sn8inWSWl/Qj48mujiXPP3la6MKJN+7e79YY80R/hBVPkzGOMsa6cT3Mnodo/oGc8BLmD/JXg2CFeSkr9Fffa6F9O/D+zjW8owOvZCF2Ar7VUWnsVDAn4NV4Ftq3pVNFHo4GZJ4YXFBzB2uVaVPD1I/6DJt3BY70e2l3/Pk9sQILzeunQl138o3NJrhN5ytt2NoZVgXQJrFZLk7GshPWZcDah0VW3fA8b8bz1HKc0RefEs/3MhxClPtax3P387Ruig5Yw0fv0s6BCN2cdLW8+VQR9t8ZlviN6Ri1T23uqsGC7FOPot/k9Mj6lf22+qBYT7C+SjROKhuJU6jv3ofNGqMA9WaX4WumNMGdC89n80QsopFAL6Y9No5Cv/l77Vpub9Uhlnz1ueK8AcDz/8SQf0y7T2ST2vuz+tAx7Wgdj2/N7qh7kI2qnSi92zgzU7naR4engnjio5v08/aP8nMRUg71hvCBLcyf5vvUAZb16tVx9qcdaYc5330/5c+F6bOuQ44OuKOvJuOtzvbMyqt8eIJ99+ylw3QrS2yeefYd/h7y1TxvZdY3qeLpR3Lwizw7GP9uWvMPSr8csX/B5AvVd9KPhwghdmacjjVm3ur3afEF1bBd+XfmnOHU3CgYsx7KZ2V3Tjq+l0tuxEnWaNPzqg7na+pLaQOge0IOK68rcEk4ggRqO7FIYCwM0JXhJDTbp9x0uon7uGFEKjNcD18h6e8E2DPUV4RBN7wu5h1TKShCFTua1MY/lBvQ1aNK/aN7McfLzDgCHp/TTYgJD9Hxqn8hBJUxApCdeT3nF9ux6QoSG0HYeScA8EQ4xpYd8KDxs1OvW0M7KyZN47RdPQUosLG+KLTQboesCvRp3KUB8vDjpLam3CnVEU45KbupxZThEPAFkN/6VGRCccKA9+HIaRUEzox8euk4YawDPrk0TsrD1o8+sNzF42voGI7R50/zbw/B0/gOVp8Tf1SE6DQdnOquSR2neUU17s6beDnrktvGwU9BPwWtK/RLcPsduo6jcRKWASGAxRZQWfAR9lgQu3iBEa7petzQ5xWGt4Cxu4IrcX9Mu9R2+E46OweJxttDSkl5B3v+HJ9ip0jVQ4nZSdg51rLcWTFP/pcxYLroJ7j9ZO2lwNc47brcd+zOfZm7usXw1ENWAYBc1gzfJ+uNi+bT6mWtXr8N4jXvHeqDDqjYnbmAaoM0xbPNNi8fbz85/BiEVNGG0m7j7DQVhtOB3ySU7wRlqePmfL3SWTiPnfl4vfFdJV5evq0+Pxl7Ex6j1Os7P+30Aex+aL6faImQ4f3oiMgDcce38xo3nkVUgtl+yAQ3tc/8QxC4N045Ip3yFaKLaUx9Dgo9CgOejxcZhYJ981JR+jN+EzyIC/JY+JwK0B+KOPEY1qj5PsFln0J8dDdPwW91rLH9/GfHIZ/EdWOMeP88T/M5zmOgHIVk2Qw3x4nltyRPFfnAT7Yrxu7WcJyjtLuREeZ60bS24nQpRWAQVTqpS311nKNTwnphyCmfnKgMsu7XBsz7YoXy7BJHf0lOWuKhQ0YxJmHPxim7cUIikXMOp1XW1GyU25/t8Duex7RuqUzkD9ozcc9PIkdd1IcKzzjhMebG79JlfSNoF9M5TpWGYtK0X47Zn0wFd4LvlA2sIw/RlI2ulfQZ3eChV0P0dAtSEvyI16R5L3SojYJ+FUhyvjQZEQCAoD11fXJ9CllhM7oI0XnCj95NmdJPTWHFXeG1kev2fscmo+gTIO60A5Ur8OuuPZ0ODefj1a/y0jC3SwR/9KUbj3Aab/leGssO878YD4tcFHmoCu1z3ARI94tX3FlPTo+/hXYUONSIbkQkYFq3G5ddPwXzlKRFe9Erb04MOcavtFlgEgqVq2jsGLLyKXyqcqhW5M3BirCBGEtF6Iqp4+W5EWb9snG+GPYh54wT0hJ6YrsxZWLvh8sy5eQvy4sefjhFH6L1EzIAyy3Ew/hULLfB9rKwJfA4U4q8Li+2Wcbntz2H87mLLieoGKc5RKU2Hbq2z5UTzz50C1OUprwqdgqTYZPZSF1OEkDObom163OwkPG3lnZMPcjrfjbMzekDT6oD1W0gd5fox1Kvl3Gw+8RdKZOjoHocpW0c+z0QpF2a8H1sFjC83OF4tGAvOylsEZkMqU2GP95hjH0zffQ2u0bcVXsL8Gzwe3lFEdG/XBdnPGZ83v1ONpVCL6a+sO0qD+k69Rsa7W0uOtWGX/q7lw4hq1OpnMMR145V2A6803nRyREUUWRejUmJVJT4apyMXvsybJGgCC8OmzvbdNEtInIV0b2qm88rbqZMsZVN9DC3VI8c5mR7dZfMr2M9UrTJXSrygOvtCQaOaFZhoXpiLX2yeTZIkcD18yknaKL9bDsev9c5STB4c4dT2Ek/In60BZlOMw/+NnUnx+945zDTXC8hiaNiesx9dX5o4+E+mmRLHwSL+smIR3LCLvnzDT5UOW1bLn5v2uS8PA+OK4abO3zX3Txs2hy8+7NQ1P+Z6Zcj9q+eaAGGjBmIW4UeBSvVJMuNTyJQYdjCIGxbJbUsmFTpO7AbIlTgiYHmZy9WziH/vCfGdu4ZvKTe7quLgSm/CbYQEohxJTA2zJPHXTnfPyIxAy0wVwaW4tYTrH7nz1DcixN1N9dcrbrhORd5qegXga8aY0NRIuEJSvUe8Kb2fQoViHAzWzheyBu5oVKWf+pcdjFki5QlE/4uU9gH9nhpiPvqAPe88wfBreYOTDHHWYHDjEvbfsHCTl02KBFXB0MhNUdI4FMVyLhORiMSimJeP2WKBR3fJd+o4oYak4+TMi2a5QAxp6TqeqeAG2W2MBWaEa9dQXM1r/Qh9i9YvWlntc8jW52Xo6SHzu/GlAmVYjrUjXjIXRwS1n40EV4Tw1O/f8j7qIDGM3vup25fweXVm+J9eYhipXuQdBOG2xvlcdjxAhnrq/vOfKFxDm0I5uRu6H2z1lgaBDB2Xs+FPowcf56Yn4qGocg3O1mrFZcy8TdQPfzTjm9zORS09nX8an36OG7WSNo043At4znzLLKLrHXGJ9fF8KU1s7bnbSwKIGc/4WZ9XseKn2/q2J6+orKs9C9oQOt1F0IXwBqe/JQ2bfB4LHMt+/FKVe7e+bKozr9N2V39wuMTfQfiqgcfi9pmheXVeDBeUrmjE5LptpNBg03fjFM13iYavC1ATCCctgz7QZGkcTvCU1GRZJXdnVbJYOQMq1apmzneHhGaNKw6a/vGKJT6sKPrp3X4K/25dBAwXxpY/oNSmvu6tv8T4agprWWHRdb3y5oo34/vJZdfjKgbOvfTYsefyL9tg/jxOz7xs4nDty/0E/Sd5IcYGsl1RH5kWWPpS2p/L4Oc3k/aviNUa/0vk8MfjDk7kOrdnAknwjE2PuWAY9toYpU3bPmHI6bJvF3sio8hP4+rmcxRZiwgcMMcIeEcYEcSkJyu/ZrPWMfc0QGWAd/qk7UM41ORy5Yumzyb5O8kg4rxt9zWrIhk2D+bDsR4EYfcnvAJcWC7wat2Cy+OU6QmDGmXbE+wrB7BbKzhDTykgwG6x7t3Atbut8wTuyO0J7Ad/IQHLOxoxgnFdvxDR+UqLV8+BXuYi52D1+Eqv9dTgpnm5bz75n4q1TWxkbleoRjbS2s5f/8RmP8B8t3Jiamnfp1gOPFG4Cy3+pIrbWWe85k8lvqxaW/pR5FZat4/jTcHGnK+FuJPtrOta7PhGevnLFB+/1lY6liGHEDzF3xXQld0mBbbyamdD8n4FsQqA2h+l/BJ5n2qfza9w6EsN+0Q9ufr5LQzc/+zp1+O2L9gijuleEHFjgedC4qI8zRozPf9Git/7BRSiAiarYLYte93rIBOo5LcFkYxnXmSsMlCbNldM04REWUgBiWKcadF+4QCzbaWV1G1O2WsXzfs5JrshQSZioGXibtIgdgN0+leIDYgAV7OHFp+ennHEN50UY2ohzJS+hungCJvLjsUf52nt5xRHE4wTqFgVsQncI5wshHTx70yo9JW5KfPndEh+tTofR+KYDX4LvKT37UhPp+Y9zlxOypoPxTytJMuDy9j7tFu7rQuCA/agyy2Vod2xE5Qv9NnKBgucJPg7chuVXpnWlNI69DWoA81pWIU63fpaChGduJISXG/BtJJ8/tI29zZam2HU6nPQQx6YRt0JRSkATvfseR1xX2paReXEwAkOsROFaF+BF3TXMV23WDSQvi80M5Gvey0I935K09bj2UttRvDkPCgvjksMmFIQkTHGDfBmCMV4Hv0f94pbCejBXGCWehe2W47ha+vHt0SjB20ajTQ7431Ob1+6/NkrQL63ewuH6LPXaZTFIB8W7jha+zul6egfVu9frrpW8JxWu85EsNtJ/ryHPfxaNO07kXGnTipji7QH7QN0MZe7PSwAHHHznV1/LffxgXXd2/oCvztxxe+vy+IG3d8zcDXjI7T5X5P7CR6QBPcfkfSLXPjg++a9g1Hc+jiJK6a81doHDWQdK6TQX9pXQjinq+gt43eOT4TXlcauJxyJaMV30k6cQZz7qnuCCPusJRNE3z3ltTTCyBam5AB2xQKZtCj3A+fkkURMVrbr5G/fx3WvMNNMsV9Tf7nhrItT6VxE7vnixXi2oeA2b/rfL8okD33BcA8RcXtW0txOvKS9D79eQqaqMTDJPNBmt+ormyoaN9jg1X7PowP9bEaSuqzhY4jj2UMGdN1M2oxbibDpOZ6uB/tSZtiKtwVR7yc3f26M2ZoibQynuV+9sekjbXdwQZ9Lukd5av3o8a8cT0eEYZO72QHlFBe79dGSS5zFA5T9U11m7wOG4+/49oLx77zxvYkHnbVTDrhQMbFqUMEQZ15aByrYUo8j+b30Y9PTjT/Sonn+O8/Y6jY0kFe38BcC0p8sPKTTCLHI5r7REJdz+ylXD0lS+XYuDXvPDswMIfH6LOfHFAI6YsT0rX/Jhf4uirjWo2lAiT6pw0z5OmOfyHT+6gEeZzS2nnR1QkE/e5WZEP3diloTTgAZ33ba21gdBky+1/6Mqog4QZY84JwkHDYN3GJaHruJ6Pvrzl3IQPt6iV6OOa/TKbjmILGqowBP/PvmzRPuo7fze6PjAguYvdVWp+UkZqA9npYXoWPhT2P6S4EVtrqAFs2KzqPpLvX1WTo/gVam0PPCFnOdHS3Ufj41OFId0HK+s4n/HT6KJ2MpTZU6Bm373JbkWV2MoX4c5vXGGs7CSc3IM1xZYU/8Mz1wrrxiHVE11d8btypavgg1zh12VUicpKgpaXcXO+0zaVpT0JEFULBz/04pQHsGLomME5Eh+zQkv0gVcHrYkdPfPwtHPXWin7w2vidupwalVFfFwbovNqE6o3iG2JaQQ16RFzF8KHZ/bHPLrjvhufzgnZBf7ahd96ybpo0fE54u7GzhQ6wAIT9mH6SduuEYeM8BEdsrnVZzPXHPsskHZTJoustzFt29Bf0bifvAUlOXSIhMS9hmmLw7/S8Re6l/kQ9ZY0Iva/674BFsBJW4mcMp+cveU/9Z3045OeDjTb6e+B5S+I12em+eoK1bphOMBd83R3seXfaNkff0tkPzHaX8oWvTN+DjwELFLNeljeWE71lTN/eHeuwn2QMeh78RH3+92OR1nntL8nDuY8bH9BmPU86sB/jP5OOJPyDjbxS4MmZ3zTs5DzRsDM9P+Hef3b65Yj9C6ZYbMRAndBwCJ5JbEb+RKBgITub2cUtFAiHo4v2uhHkSgD4u+fxR4LU3lbIC8JjAmdPABYmRYTciRuc2BUiz8SNxkz5mcNMTDucLV5NmwTV+6RXGWMXLIoCrdw3N9x3XYjOrq/bdGCgwfy9LxSCYEmLkDBhFW+DP7loaX9rKKe6gsG5E+mdjEv1ubEh8R5uX0oZQgt/zu25g0GbCQ/XMOCzIBrtdoE8AX3oOKXhcpRgOt4cT9z5lhcWoH56T8OoAcBCD0nk8UZdkI/vGGFaRRQqnU5Ijnoj7HCb9wpF80mxoHrbUOa1F2RLDGtVcpNQ6wunIGEVDFeFQSNM5M6xs3t2MtadGGfc++xSLsEeBsDbhayxHpkOeIhiZVzInoQ16aCbGqeGMXcEO14anrkzO4wqVsRDMLnxBX1shVHDxelcH3mlKZrdWt/b6Nz9TbDSmhAlh3w3A4HT2ttCEQMRZttDtg5BxumWMxir0xTlCO/aBLBQZRFyydfoF+bY3HNexqYfDcOQiOK6xhg8Wse/PJ6B110F3/eF5/Oy+Z19mBPF/ab7bc0oqrdtwX+aseALEOmJXgfcALox1OTUE112ezMeBIoE7q1EXf0kOYVoZSHc62LayjQ6dlRuhPXTGgqls4JOtJ43KlTlPOXddZ3obHIw+zPk38noU+rRCxHeWI1uL205eXN5Qsd4tMqPCP5YGjRuISvt+NjCY3XCvwwAtQdCkTLurDgmGYTe7dsuzbkTNuFFKct8TQDpiva09txh3Uq7Sjzb8OxtuF6eT6X5PtFKnZ+ct4YNrfPWbnt3zU1zLPMlR1+EF9PBr9sq02p1HFZQKXxU6ouHmSoyFssoJznH66xryq9vWHDrVfiLd6mEl11wDHMudrjustKy+c7xQueY96u2N/vCRqh3tCTjw9oP30i5da477u7W56+0TS9szT9ZkSPy6wqZx+141XiBst7sUc1LtCqV5Z+7NmSXj+jICbdgjkPWg5l/HuhdpceL7kdrczFOl75U8D+dP7YNHGlzqZydU2uFiD7X05bJP1h50Wbso60XdHM822+oSTDVOp3Was4jfchx2Ti4qYd41E7X1fKDAwbVPv1MCn0NLn+SHA76vRR0OHTCUuQCASCth46Ry1OEFwac+UR4QGQ+c3xIzo5xOlIFQ1/oI9xyY0CKbAhgvwG0T8TgKGq7tJtvf37kf5R34ZO7NYyJEyHD+Z/9XtZOzIPiuP48n3B0LG97yi+uD0I063daDxS8IBAbfN4bpjZlGLHd5kXv/BqdCbpOQsHjkDONz6apr0lP4LUQMI+/Vuuz30J1BxwmlG/ZFs33GhEJacw48lnKpkDvDd3CEacrojZpOh1m/UGTTnxl8/2tfe2QFjvLwQlceQfbVtk2WetbaKdOlPGyVd6vfLGipcq42iRQVmdbWvIBmGH/KR92myUUSx/9cf6y5t0lneh2nP8EK9PrD+ZxO+fMb7F5rtjaDzwlfCz849T+p4llrZfhh2u7msv+Q1PQ9b3sF/Sg52d1M2AqVje7b/A3ZNtaNjb4Fzq3o9klHde+TPj3cvcnyEawbNoNJ+ubuirOJniKHvm6ohfvSYxJpvkTjfyPwKufTL8csX/FpCsy7Qwdk3gY8QuDlAslpVojEHlxYDFchWKkmzzGROMkzk7JiYViBumGbEwT2K7BKtStMPO7God+m+8kaByYfoIJE844LSvzt9eVjI68k8jz17FgIlt1oSSI2s/diYXdOHvfqDwz5IU4szB4MFa+lNcJL+vOrq2TgN8p9kzaGZ/ld8EmnM7WDx6v5R4LFOYIDMP05n0SgDsgzU4Kytjdq9RH3LC7XnjReVl3miIcQeIhiO0Urd4tn+RwpQG+ZMudJqKjy+Z1iF3SHvIpHGbEcUj587uH5DKnn5+ibBiKiseRqoKdIujFwF+d46TEx9osHgK4Ny9qxn1bwy4Y8y7KTuuLhIeUGK2qAA/DIXaGYswhz7OyIaGUH/ij03hV1xUvYIGdVra6RKcic6k5yn0wZkMiAJrdJWONdLobWIE4Rduu4XjtXBYgh7y1Hbvgfe7L+BLo8pR5StxeJLrlO3RF5jAVQTTdyWKnQYOeiAx4fsj4bmOKZuvFHcyKYRiS0cev68a//vaN//1f/gcerePZG5564W/PB3pveD4b9HkN54qD002pvmzsb0Jfho8lX4U5wBGGq2GIomJu0Ip7ZccYiyLud2IjSITqdnLgePSQ4a++Afkx3odjiRpkFGGD5qSnWPjHzkAd89xKec4mCGdbsrkR7QtjbPCEvKaYlh55gi8NOpUba4UMd4m3CsFRYeMxKWtTH0SbeRyY5xFc/j7AKpvA8gasrATGuFcHII0HyryNsdD5bANPfCfaOmGddHMZi1JPMn4IzKE2cE79DvBKRy2f/3anl7c9NtLQ6c0dnz0p+Iw63C8ZuBGGx9LnSR6no3Yx9JS77Cf/sHsjdztwSYarcPKdTNUGDtUs1zD/4LVUcRqYYyeET4d1nBTIcspuODeXLiFttOQTqctp1QwzGz0Gbkwj5YIjOsOvp7UPbnuuY0CT0SGSrN939IPvfQLGfAWV9iHxcYHken+l12m723wOYNXdpn5p8x+IND6ToQrlu6zzuxhty1o6plhrMmk21bMYdUtaafk6DlNnMiajiFOG2mQa7WobFA1KmT4yzy7Re/iZP/dISmMdyXau6jgt8irW98fk8NlnsgPoDDPrNN9pvSrmvZnNmqvzZ2vT7wofsOwW+2x7pYfcEcvKvBYr/BUf2fAXcg1orlODVpXrIwIIzS0wl4o7DhUYmzIFISeizkfulPFhnXBYtJaxv9I2zm7Wk9KGR7l6mj/XCcUnULDVQSqyiOmU875Og89PaC5lATypc7w+FOhfhr99bkC6r01UMKcNO54DzEhiaewwr1UhGsNjFO8qj93ki2oll0k8hrsPxP3Esbm4C+SpwINwqvK2oA1K+FoQ3sZdbC7S3FGaG6zzQvD56ypotKvY8WFeKcOLHUHnQne+nPaV5306W8OewCc9XU8t/ILtEIvtMch4m1ch2fPoudfrJ4ftjTS1TevjShtgrpn7Hg5R74emySCYYjHbnwx5ufEajPWVkUFVgK64b4FIy6GgffjNnoBb7d5yyuLhvSmd+GLQV8ZlOZcL3PWh7/M56F0qz6dKa51Yh28rt9n6XNa6lyndqG0t+gm1tdgqfQzclFZoifNhp/uDzhJaltOEy0qjulJ/eA52dAaUf0Nr+H30y3jHLmLHwk8qzSw8d4HBYV4OVhD9rXVs5oDLhV676yPz/U3iMMIV7nRKVTb5id8tdWA+290Ne4SX26jwbGTbeoVN3rBaPqPQoMOMZzt5Z9eXHb08JrLtbHHwA2dp0nuBtS8FnjElK68OG9Pi5H7XCWum8uOVXS7tvayLYP5nSr8csX/hxEyW5anxRVM+NrrGfakv6zZimIxzurwfbQoRZaIyItmhZ8S5/l5Ps85yb4kUJTdSudFu6aMZFGs/g+CTzLgzUAczbJhhisu4h4PDGcGGaOyGPhnMSWDdGaCrMzjVwyHeQEKHABFmq0/hJBq1ufNnnUN26nAkVIawKCh91NEvOv3xglELtRtw7AQ9zflTng7gRux6W8ZE1t/SgfbDmrwwT6rtjNw38XsR4FLqt0t6tW8KvWXcSdllnMQThfw+KmtfHQLzX31na/AMadrGtj8fYBknBnvHCMWjMk5GiqKjzTC1Vaj3MEf0XB4duGW0rZgh13Qw05gLtVOTQs89sUC32RigAsAcfuGMcIe5z4mdUE54XZiluPF7J3SxsEi47AJXM4WnXxgKkGCEAyW81FJXOPidnsEFQs2/odOxKEAodfZbrm7hviZ+9NtPtJpDXoazr/fhiHVHfYPVC0W7brSmQLeQv8BwwgIj1K5raK7AKmboKCDvUDbc9zC6IfyzoKm+jq3q07hjlhXYp9/5bQzJD52qYDjK/BTfQ1N9rSmuq+P3ryf+7esH/h//+t/xkBt/9Aee/cJ///E7nncD8BjjpFfMz1CwPfyzO15YK6PxIGOAny52euKnjLW32T2xU/EkCEJpzlmgNqNThIg3+te/zFjyIyJVpzyBZyU6QzRJa6sXmrpsXvLvbbYfc8L56p+/o81UjAthVCY+EPUUHuLDDGCud5Dtx3BKtcACGoPm/Z0bIhz4akh1GLrhtvJYWnI6UGmLj0fiU1HoEMKS8rA8UB3fS2hpxxVBpmegdwRTbE7z9ja8/piITzp56NeQszrB7XljGn2OSxiqoNciYxOB4eJWoT+BxMa3rmHAZxotMNrjDhZHFIHJLf4cqDuH+doMz9Mt9POyoWdHyxZ4qf2EN2NgE176+qC+TvlHZz8dV4xWR0i6CovT3uBR866zGPuSRAW485Ul2oRohm7bmoYdoTVOMkBqA8ErWH4MWmT8euIehR+V0lce501Ka9Jh9VDe7vxjED9dG78SgHUuFv1xkzfJxphzwXJ8DSd3PPkga5l3Tlh3os4T6UQTNn2KZ8wr3iSHpxp+w+ngp2K38IFo5YQ5wVbp+W5NtAGsh/T0EMm7Pix66qeJ1lVKL9aj+zQiIoPplimkbIEl6UrvkstU8pPLWdd5XhwJVU4J2lpko1onw+Z9p3kTokKuayc8Vpo7dn5pRsq4zoanuSHxn7hyxnQKFUAeSKdxIRa2FgBELNrS7EhyFMl0vIrL5jyOo4rpZGU9j70Hws9tk6+I3RtrmxfNqaggnLAyEXZ4mQQSAXzOMPnmyaAOYKEFqc14RvSpyGPOq4UKifNvnXgflbpeJTqcsdQ/ABTWnMqUdvndDKO+5hmiictQmnFYEZup1ASFMV0DaDG91dvgMNMVhkW39k2poecZ7jw310Np/gy7W6KNNU8hSoq5YbvSK+cfGPpja4rfLJLS875onht63/SPk0+WUoedCBkjiHVTx8TGUXvDTZsKqyEp8OUecxH80+iF7HgBjdMAY3VsLbIVNS/AwEu3CbYyjJrrCTmOcZth4XXu5V+tv1e8V4v8RvCEjlfkAe4jr33nSTwO0wEU5HKGEfd6GUdP0X8MB1WQ5XWHj+uovAZINtVUrSDRtFJshYHGIF0LVvn/ZpxrxXXd1Xq27W/6FkXrRjJaKosOHWvtTXuc13/Wsd/AIzV/8S1M5ywz2lxXPRi2gMd2GtaD/b2s/pVEFhz3y/qeeXU7v7k+zX2vvPXQ/hKhqJb54FQr15/WJOb3BPtmPGo9r9IWvlfjU/vwvjv/5emXI/avmkhWWJxHNasj8CuKT4RJgeG4+BSBEzMw4aw411huf1mvCSuv2qiLkHfQ1JMGp6byCd4xmMO4KFsH5+zfyuQZlhCqyt+JSC5jciBeQjuTVwfz+ix+F4EqnTr09ljwOpxCnGE1N++5Hp//wpxTMWLEy84oYrJVMQ5YCI+T0MbPHDc6PTNBlJVsn5c4WeMnz+xeX2DmbTemQK5AgzudlU54TY7EIYQz/lIYoUbA+DhyPmtPUPhjlTh9PLlt0QhlJDvC4Ls7vU2+OyakV4QwGgMGH6OxwISUWRUfM0nODClNzT5izkcV0MQEud0i5jVTy9BJe8YzrivW0w6espkh5pSFzG6GsrpubdzRZJFnxE/IAqYsF2HB5jLvqiXjy2kMHL5exkoxw7C5ElFOCy+Cro6+OV3yHf9S6k2GrucsN56NUGSpTJ8hlv0uIaUBukTx+3Xj98cT/9v1B77kxpfc+G4X/vXxjX9/fOH7vqC9jTuS6f6sybR8oRoB8PBDbc4fj+scuzkvaCuRm2vQxoLofxg1LoLFN7/YvCWnHDlJefzDuLfB9WQw5PyO36/4OtNS4l27zUSxNng3M9e/g6niONHexUhceSbmePDYLPUF7dFlTGO3c1S4jm+/qD8+Jq/kEEWEOk/zVNdMXWss51C/tzzzMK7pPRB0VyvMmvEhJZZJdv3cwU+/11DBanRE87rXQ9+2+DIZblasqHmTEwKHipPn5Xhx20zT0o53jf75uyUEccVPgnEsb0n4LYcxCByQzVQrlnVz6kOVFZnk1foq3vkO7FeK9ZSDRkdewgVgUeQJzgE2nRj8JJVsaSxrFR/uov6Vzqniye49y9end/NEgLkLGiZPPdTrScsa3bb9shPz0+9ZZn24tpfK0O9tGLia/ER6/C5/OxoQPFYSz03VOv8+NVvllUM6Gd4YliT7VJ7FPHELSOGv3NZOfN7Q9JrvLcw7MDZ1KH3nfmwddImO2sl+JVJ7gKXqicYCos7pGJ0RDwAJ52LIiv4ubYxkICWc/Q588tU6rsmk1VOpmo4dsd8NtEbF65PT8tyE06U7Z12/sEnIeuiAJ67sCSBsEx3ohKfVscDgJwaxrsVh00FEfYI5FLc2hQl6erYzOic5ihxVpxTl6FRhOK6AGVUKmASuyGtTjrBxDCHOytjVRcMpvso7Yo551htFKJLPZMIpxbRQ2OfpcHcChUwPqL9yS/RP6ERs9OdGnAaXhdD72FVmgrl50Z0jT4kIHmo6NJ6lDJBOCber47o6Hq3jX3/7xiWKW5/oKvjbjy+M/fYNXdWiM+W1Ezb71PcxiGoblsOOQ7Ydt534mPIaS90UsjuEHUGimURfQv9RxLUQzn4KTRUfj3cikUw68IreLvxyUy/TctchQwctdSQYCZaX7TPu8bqkPuRC9N7GIvEpdpLRFCQd/EYOsY11nBYeVvBl6igE15t5OclgrnfGOIMIHdGQmo46ZlT8Il/tGz3zjbFbnrqr6ij/EaJzmy5fvMCTGo1qJ59W+9SgzRmYLWyVLL1wwO5gS1Wxj0Vyn9TWfbJdY+Y5yXvvrmU4+ns2z1x/heZIQzGmn+psp7SBZdaNvEa25ffzlf0Aa549Ts9+ygbn/tnSL0fsXzAlvCxMtu6y5/fB2GEI7PReC9IXAXIo73Z31IUtYQjG6/W0KYRFVXWnidfbcxl0DXu4CiBN7G7LWT4p0dZA6z292yUnbK4ky610am8IP/1R2zC+64ydjcelLVdaVMwA7CG0FKb8kSKhCMJSjdcxX2UMoUUocYJfiYzPOzmV/X7M9rTQBQ96bwJwu3O5XZjf1A4/sjLtHuPKd4zVUA4+74uh0/u+MGN6HmOHuQvZxkKAeUrP8jQTtvQx5rbiIGChir8tzzWE4v6w8KnhaAL65dIXYjexNoH+ptMh6zubn22EqboyB1JqP06smsCdlaUZ3liaoBUvuTvzVCcsKURt4JuNjf0Mpf7LJ2Pgbf++hqGAlS2vKkLyDDzWS8fJHgpLpORwVlXDKR3vv9ukNSVsTWwOqMIs43Rlpv6dBbkkdMt0NPtjCnPFjq9k1LnHXUZdNBxVsdYtDLF8i+GEjznCKT0cnQKVHkYR2Lw2CmM2Xg1EVptLdI1Tr57U5lCDGFbJUWk3e1k0anhtJzWDrG/WFup82J25oh6SzeivK6dfwynTvgXtm8a9jfUihUYJYKdQDbQ+8Mzpztfjxr/99gf+b7//D/zff/v/DSesXvijf+H/9du/4btf+PcfX7ifDfpsOSya2JoyQVguC+tl99LqV08KI08C31M7N9JpCmnlzutpgFQL793A9qcRg3jAcv0YL+S28XCnjwL9y8K83iu/biWkf+z+d7AZH4lOirfFc1nlAIFFABgRJ/qDcIHKp7DV3j/eiOHrhubcYfAyPDdBE1qGN55dmJEJCGY37mS6AlOwbO1cRs6eEutQBWhPW6Peb5sf0UHfGxB3hye643jhY8FjWOYk9UXzvAS8Nt4IuGEhV71wHiuvI/gdR6bwtvkEu39Su3WNq2CEqdNJZ6PJzXcP396eMxSxG1IHT5x3zmLX53Inq1DbKfw08P4KBBs3P4m2lz0lxs3b4dMqfJJ2NjDHc8rIM/zk4AkKvcggRoYhr3unBMamH6tz0Cc6rVrW5n4AfFoHUQrc8aab3+M75edqbBkGbE20YjFEc9HBiNLa97zhhCjvGPdjwwNH5VDkcaffSfkvJwf4GpUUYqz08SMF/1caKdZhnuNpHFKwMWY3plLnGgDUNmmApno3H3UZnvJUMUYmfqb171FAuuQ+vUtL/fsQepMGlXHp86XT2lgHvtbICcs8MpLrkJt1GP4UQWzoeoff1SC106HGi1xm6utYxiVSx5TnaP1ts+/6+gKGY5YTLNyUyyFMN/wdn9CrNMPLmf4pPg9lA3bIQkzz4yXNUxuyiuNF/zI5I3QQGqxoR4ejKQlpMvn30tnJgz2imTh+AOEIaldHawo1nYEdRP2WJdxt0gljbAbcbsuIPK7jBINB7teGv06nsbehuUwZ9+AxMZGzzQhA5ZvvfFj7rGuHE0tKa0CDrqQprvPtJ+Idxu7zblWWdeWHApznapnq0UScecXU2dVU9unADnBkXqMSm0Ndp1TDgT4FKqF8AEX9QYNC0fuVQVJCPvvujtcZitmiZHlHAcgtJBsRbvi4ARCa4BgKj3pneRoAdZk9bG224bnN9iAeNljxeNx4tBFN6f/6+9/wmxmwOgT/b/lvuPX38ds3SIPrASGcZNxWG6c2+4ALkGusixkCfK69sAcRXxgfHhIaE+d39MTWAoAh6xpeh37FeZ0v+DMtn94VPkBxoKlprTjMRaacNFRiDY7Nx7ReSz2K2Z/FqVLo7KKD8WZ4waI38DjEhuJNf1J7vAZ1svXQ5yrNUCpHz5KtatPv7Tgf+G7iv16/o6PTfKvQ9Yodr2fZONVDMAUOBN6vMLKdddiBTC4vOm8qJljpLY9dHaMP0xIpc5uJYGe7KtkUK196KSvymNVX1+YdrQuXfbZjRPJgtR28WpsJrsJDdk7jpd5dShsL9ZzvBIeDEjiKOf51jSL/dj02dD/e2Kv78t7vE5xzDEuGN6d7T7rwf0X65Yj9KyYimEfFdYdcB4Tb5d3VsZweqMzV3yVBGqG8R73RByKIpR+TgTIr+k9KOyZV379LnwCcpHcu64x3FTAqIf+07UR0uH9VACKC7/O0ravixjsiuUla8OiUmEiH8FUFLG+L6yNhyQWtJDzJLBNjQI5dv0fWGbr24aQLx5TAdnEq9MZ0WmG2D4wTs2ln8Aec79WQJHkyIcihLk0q3zHP8ow9QDRXc+evfdSTtS9g4VQdHaPNPT3a7gx7J0y9aRu2M37ZEVvrqEI8PzsB7vjGSPYKnjCY5PYHbp4mFsQEDqn0iaJ95rXPv3nNwD/zaSkWzpOiR2st8nq/eL3zSTUBmige0tGgyIGlhtLdTn2Mx75oX4xF5ZdhjHpVRs91Eh0YPtlpsNiCKojdzXyneTY0H8odeDR1Ywuflt/p09rctsfFfD5fyA8JDTcKXh37pBR6GdlweqdBlbaIJj7gO8/d+KAN0+kfeRDGgQg1WeWV0vTp2Urn52ddUyHr0Fiwsy54LZf5hM8HUJvfBx5Y+7GF+UNh60jWUju60hluo9AJli12YKTd0VUR1c2zmoV3Le+ev1p/u3Hm8oe0hMGqY17H/gP+xc6hxI4L3sQcnXSCn0gLPi78cDCXtzhr+M4OwIx/lQYg4fM/oi+/0iH5KWp+9I7PYPIMpXxLuPBtud2CQ+YLn861rLAeHYYbOF6ejH1b/kCrZdIP1ll2BunX40RVvgPzQIu2BuqfSIsOlQCc9SZa+Wdo27u0q2NHn8s75lfBE1Fk05qK3MG0NvRxchqM028mV96YghFtbA3nZFdzxiKASZtqFUN3s0g6CozrTmrEHu5qkb3ZGSv+T/SzqahkuMpnwbBl2ag7B8l7TAuRFuewDWUBaGy24/Ei2JcOe5vvOlP69Sq/5my17g/UuY9gUK6Y6AE7yo/FRWeo6s07V64HfstKZnyheuSvunB38qHKjKwEJPl15gFoCextSC668AYrIK6LGdGUfAPcuNpFwzs1YffNsw87EfvfHj+SI/a/X7/j67ojVPNs3xUBWxdOjx3YIOZlotU6xkugGjF8vbkz1gZhbKLQ4Zh0J75iRHToU5YLGdT5xgnnadxe0j78HK1/a1esf+/Sjg/47xfvYokWup30R65/966+R67H8TVtiOIlSTxtU9UR9uV5rXORm89tpqo/OLHItgKWfT5y9tXkZWjpfdJuldU/gfn8Lstli3zncP4kQd7e7fppXaVfrFNm3CNCSO+qE32WlfhMEaRgts9Y9wcG9Ab2Os6DpGYYd3nf2QYCzw7rjv0WuSDTzUO9IbCt748pmM9h4TppLyzvvzL9csT+BZPYDvlJZGWeTPB7lMrOA1FAniZ4hAIhwfBHKGJNuxoSUfdQxUKMqzBDl10EgNhdYi6A+w7+dg+HULMTQWykDEbTZjkAFipTU95k9C2ELCVWdjzEnlA/6dSmn7SJai47PWttpB03IXSeKV91Po9PG2eXlf3kb2EISagtu5VjB9dFc1R3oyjl9UdFgPLdvkIOFSdSfiJ5e/eHw1WFIZ24hWsCHPB5Xplz5SfDlnoY5jqmUQfmzjxFnOJTPt1Lgo+fQIvxURof28kkN3DxnYIyx7l9U7/tFI48YZ9jDfaHzjClflLyvuy07DhFKJc12mXeVdk8bOtkHsFHeDcoEOGIOg2OsDKrAIrxV+82bbdx508Z3Jgj6oOfAPZQsHzayfqML8tzCrvlIYFkOkr4TtE4Se31llOCsfahdGp+vl9wvihQxyXqOA/6dPzdMWcP92zzOPFwIz3byWL1UxttXls6dzHLCH+EMceqiN/wvJpQOHVan43wRXNo6W55Ll9jQqfbDO/t/t8qRCbnqo1T+yaaY/ju9cS6DzoqqbzaqdMQFFWAp7lWf7vx9fXEvzye+JfHNx7txt/6Fy7p+Fv/wrdeeFrFTRTtUvROxv5Qqies6v33kwe34+7ovFzddjbTkiFPYijuomiqaF86dzmz4z5Cb2vQBQGg9+BfYriuDwB0KnZESsA0APIEE10aY5efM04IZt6K44k2l/URc/rENgVf6Yg7htr3bD8ZChxelge8nXrix2F3mso7xKOvmtoJm4iPkwC4aFzs+Rj7OQ94KG7nC10mfirGPdtGb9RIcQpND4aHwHecdjwnfuJG6u7oYH0aPEMjHBaPz6RTk+ZXWtYID3hOdus2/Xa+fo/1HydYqS+JF8oK35Ary72PHFVgcxp2yA5nmajKlu2Z+QSHwWIHpl5Y5MVUrd9bRvEcZ8hrGt+AWeZpUuq78/ZUt4/PoUssQwY5CL5SojB4fVF4yMSLTIVNXlBfqO7FOUrr0t/FPcmejctwu7Yz4bQJIBlASn1jDJywzbxsoOHyA7c11ZENHIBvIRPOWmjKOyPRrzRT2gBySmkX1WSSYZsu+JYMf4mWTzzM9XvdO/goy4ILm3oCNtMR3ZhljSxlog8vxmCHTBYloNJJAeJKm0oLtwbGRmvlMI4MQ9ByysxbKlkfGw9kWUchU/A8RQWF51SYAEDtLtEeovtcj0TTEi0lnp02x0wxK6cTTjAqHvBosR9wc4VehVGf4B1lsQ1NO2XY8el8VMrJlwjTiVlvtP0QdLYdtIEz046ieZ2ZDpBOrwpmtKTC73P/ZHHGjpOzM6StO49EJemQvBl35p11jLkbQo4qhm54zWcAhpPJcVIxnbIk1yndka4AtEzs2NBME6cyNjrz6WQbX8e7hQZVXK5ph4c+vHZiShvZgvyTcCZw6R05pbUwZS1bXHFtypxjuRhZrP8yNqQCc05Ugd5HpCkxQVHsWpYmaiejpwwZwOgMgy0eFlow5tD1OdOZxCJexZiqTAcqyzM+D3zKnMaU+5PshIqob8jjMmmLrRFtAL4G3mifV9qIAFfr+Nevb/zbb3/g//mv/1/8bkpNV8GP+8Jt9+T++BFh7sbcmu3T15f4qcqOGW3J8vjceHnfUC823unksfiJZp+82W+OfhZ4odbOrWRjMfx4SNokstvUGHIa009FXgMvaGp6bLR7x7PD1mb2tdDLqJsp2o6167R24W/2XFDgL++mbpfzbGEI/ks4TWngJ10tAsJh1oWA0OeibJI1JjyLPdphoXri0/MozVvRG5Z6MNrYbiAtbXgZpWfb6BS7uajJ586jNnAZ6rKU/kbx3cGJCnuZo5f5hdojGBjfc6RDRpZN24U/7ByzC06cnLfIskDSH6ujk8Yqy4oS+Mu4Fvq+84nN3CW9suBeysr4S+/mvHrBPA+K9Z5j1hfn+j0RFo2NVVsd2H87/K6LN6+7REuicVv1X12+J93W6yIa8M+Qfjli/4qpEGy/41RpoYUiQGFwKwNHXahc/44mVsa3K8zPN/Wwsv5yFbygyf+I1RMh6ZiBKxCn5EJYPBgurG9bQ9jS2MzvTHJroCghA5ZnmOWWEzU+l9RWgqcQX67PheEdcUz8rvazCjqFWGYDnBFFTIbj/TvfXMOVI88VPU/KVx3XDc6nxEJF2RkXTnLBPMnm9RBTHKE+R0G5/S49xxxTKjtNSBsA706ZRcihZbEe3gVnsw8XoHaSVuXAXH6XWFCMMhPhRf1+MHt5b+piYUvK7w1zPwmIaZ2FoHFi/LPM9l3F4x3enFIQUyyC5JIPOpU5RQo1taTwUB0klVq9wxubJ2SZ1+oAYIVohlIjfkFg58aqkEt0aHcCzccfe5SLZI5twcDph3RcoiOkmzZ0ZEMR7/Q+tTnvwCVjDr8HhvLc9ubodY15BxTaS0w0xwMKMTdOxE4aF2NLtEuaTYXM/jOdDTgrb6F+MD2uhqeqIM8KR5s6u7QmhpMf+8auSr9fpUInYZsNjutmQ9frMwA1UuQR/gH3KBCzLcjh8qmeGBNvNzE/ylPKLH1GeU+8f1fHSd7a8isgKbk7g0PNe+R7REfrapi0g/jLiSQdcPSlDEf55gawyptKPS5HHOrfGkUIxnSdxG7cBiF6DfMJb7fz9/5upSnPrWvqpPwe+eQna/Jnyhzw8lUd7jzdEZeNSJPmMnSSWp+ufd7Sxl/ps/RGztmN7SvZLBf+TIzier3NBFul+6dKteQ7tMH1f3x/8a4u4hlvjY0HWPJ6MXljYRwvKnkTcu3IS07w/ExyWlXFsFr/h/V+jFcbOACi+f7sZ/qz44kbGlx5dfTfqzA5OGSmTv2yL0m1hwB+VUhSJscHb5AtB/DG9zfy14yqsxJN8c83KPQ2kVNQPewrL2YbjLRpACSTC9J3ygT1U/mVJrxLH8znW/UqDVeWGxfZ5DQHL9+9R3g+xbwAuymrAJaoSS/aSPN+YqQ6/6ZtRY5rPuWBpuuXliScn2RN2zwb4l4HYBtsBr0ZVzVxu00UVxsnYn9vz+SI/e268XXdaPK19mssvnVsf5KeS6xtChctU0fJY20ANEmbKbXpOCDSNGworH+5/WmJ2vDJuvhZmrirYuFZmzo/WHvnBl4/96na1ku0sH6GHqv0XAAI3R1pB4zqxjEVJEdcsgPu+gpaSvSbPwPkHR35e2jxLpWxeENCJjg7UiB2BRqX3fH7n+3D34EjrBPsYGa969VGrZ9td3nNDvK6RhyO3clMX/sHmGKtM279BFzRDOP+Qb75u5PLLTveym3+nRFnXj5/q7dLfC6O5b9DH/hHpV+O2L9gkqeifU9M4nusgLL4/PduEVAYqjCguIBdT5wRIzzuDGEZoUl6LndRRpoAD6MuOwcOVyujj+gmsGAS1q0zhnUb7vs11V2xcCwppvtOCQPSTt8Y03s+S/SVYtOLzu8n5u3tjBMdyld8pPdDcNPU57oDzetRwbj/NYg9V2awUVEVAJcdora/5QQFnRgNw2kNLdOwx5UNw0k+kt2uLa/PnBZpTjGZcNxnSWNw/UF9reOE+Z0Zncfwr8IbhE7C9gxr7NZsQGsjPNPYkGq4LSZw3zJOFj1gpyTvsPl6SCf1k9rpjtjJI7TP3ZGtYYa/8Tzk0FIV3KbMN7ufVv1UmCsy5PQbOzXtzkuFbU3VNMcIg4F997th2ZlxzfGEYO7iumF9B/Qe4+F3oMh3Xi/RlDfnuCNqa2vd7ZiM3QL0KwsxPO8uuHU/sV1xyGEXn1uda8gBjJNWaqeLJU6X6qWz3546jbvHZBKk3bTqu2HNudfoXuGEun3c9RSa2qW2kznTW++oPGXS6wvjvlI6HRv9tTGUKG+/n7Os90W8DJD5jtPEK8/Pek81TFEXaG/hbP29PfGQe4Qnlo7v+8If/RHv797GaQGViWtPGUaIWMeMp/bnJ8rdAdvsvqQiOdbw3H6SoLWO3tu4Y4vXJDDriOPcxk8vW592r3B3B6jvRO8A6ol9or/VucrPfKNHt3FeNnR4nx284F1Cuw1pTrW0fS+sMDvkaB6DB+54nPMMqpsNmQEX70b3E8Scf4IZfeu+7m6jo3b6NepyPnH5u3nfqT4EeCLuyRWbD3aKpY1JB97Nd9BU3hcwWD18r9l0BMsy0KxYJmc48T2PNrHY3pyOOnngaBZX6RfDiiwHtRur8mp4F/ZR7qeDWDdVlXGTbhFRmsyABmKh+0/jXRHRnp3uipVquSZY4l43DNqhItAvmhPf3Vv7l3gRQratPMb506n/o0yFGXFyvF8StEHKqeJ1rjXJoOoCBTDvdUKdn9mvWIfW1/F9U05zecfjVT8QWusH2OME2KQLwtFHHK7g8dnwy3Rmawz8ld6nDU5yYhks6XD8vvIprt7mZcsPZJ/X57OKmI6bTgddrMm4MutW1l+9ooaIDrVfj28GJIAddGOEv9+vf6btuY39OlxomNNWWyfKd4jyITnNn1M+zZuxQ38t7Vc4KgwZxtn3dkvuX50Hwgc+ycVt72BhnKkRmJheJVkCNHda8qbK7bOcYK10O2SmdPrPaLHLFyAZwcRHFzdVEM4nJd0CwNC9btJbBONkVhP033RE3rq8gExAXXdTsbu+x0KYe7Qz7gqQwtB2HbJxR19sjePUrKTCIjrka6p3u+mt5VMl3m7olZjvkh7gvDn0qAMBF8yNzc9CGHxuTnaVNBhYcOMo03HbmHLMbnNX3NNY8eTOmz+Dty/RqoDYxKyceYoasSYcDqpUocucdF74ALQ3qPSYZ+GFpzRfnAg22EZd1h89T918O9eEmEwi29Plg6dYf6zu6JxkuQWwsbPw3nIN+QS3QFuD2l2tj6vjf/v6gX97/IF/u/7Af7v+QNeGWxv+L48/8H88fsf/vL5myG+OGuVrC5LxknGGTiyHnSX9+To0Z5WPrfMhH3KFnVYeP1xHVm9PBnzXPfqcZCyPlnVhrJnnXH/LPeMFv3fyUshRXKbQ60BX1hc98ovk+mpUsQpDorU+xLQejmIcwZP4gdNb1x0v3ZYNWLk+s6+EOeam6C+CODXruiTrxqrT5AWSW3ksj3pM/e391gnnW6cYt+Nl04Ocp8r7W5q3mfN4pYjoADG3bPMt9YUzm6MT+Xy3oZuxrbbqjgto1c6d8s9++Vikk5NKtLvU9zYJIvoSP1tkHynvGT7HPcOPxQYP6nORjyosaS2DfpPse0w+hiD+ojS3nk1ymZPMWOHUDXzFrLbVCSdeAPvdDQR7xelXaaOHum57TH/XjrR/TPrliP0LphRWDoiVPgRihUkHn1V2OF7CzjWAFheQL1IHVoLMRH0nEHh9thspXZ69EyqAMFrOy55lEqndOtIpxMauxq7AQ8r7woG2J1Dn/XPJEOVCQWnXmXNVTncpDFLdnawsdEgySHCfABsLV84YXpc3OQzfzrCKyazdwKjXMIpqmY8keOm8NN5/A3OOeCh2TGLLbKitKJ/CN9WBozEpOOPhDvWik83FQLowtegDJg743CgWoUYUyWkudkdsFzWFnkLo9PE7Qs4w9yKYFIIWYWv5nQmGdxuKQb2zUqYTVpraPbcaCoEA4TBEpzA6jDTcP87PXFXKRHSZgHodLFEKIFcfDl47IawWAp3HuYaLfpXCsb/bsNBBCo4p0wZyNeKsijFCyIxui8bv2YjXZ/29dAjlfvL1UebHlFrHVe/3DDNmJ/C5CRnOP8g4hVnpi94u8drfnd9z/+TO+NsKXXLBLJX1Koj21NBsKZpAcxy3uhoS6jg8CliIEu+zmvxsobRE8SU3LkOIGw130ehjQ4LvIlbJRspuBg7GZ1uTfhLWlerXtyZbf1u3EF8ayry4k5xic43dzyxRD1xkYw3YcQqfk0NEAFpWzCP43aJEVZLCtP2SdT6MtnIbHwxJwCCqcxMYyySFVoehRnP1QU6IxCgm3jRaj9VQMHBuzEHsPhckOr2cvvU1eGOcSm6Tn/tGLw+X5+MZY8JyC8GfTkVxO2Ws2NgRp1k5DNKOJ2puL/Fiyhdz1w2eVm95xFx/XF0Be/JTTZkXBVZm3lFPnfD5Lj022qNG8xwGic5uxmCTXoXpymGUNzDUSCjkxNw5S1guTSE3QTzG29fZJhsKvO/bxG37XFK5iVNzvLxe6TrDNxH8jd6l/tDnYoiTM4zJ4WN3ygUYBPcusSwbgdxLPfmUhwTP2cFzonVLn36lNenc8PDWoLEtf/he027XuRfbtUu0Lhk1Q26Z9QUvrM7+hrSZjg230mSEfqzN/j2nKXcp1phk+F/kOdbzITwfz+NP9K/SiihPfwttZV4JZPw48IMTDf8PS8QroykeFyXaYn1MUWM8D7NHx0mm3/dOnpKQUSAa0ZeErrGINrrSmAnc/iAusX4wTnVTYaB6WZQceCvkpSpHVvYvBo/rR58o+WwUiuwvOsL9r+kdT93k/dm1nTZbcD3AmIedI7PCVOS0hX5uZDso7LqiWtmc0xQKdwBLeaw5n0+Xs3TOV+3P8pvWctg/qBvLuNN8LDplzacGmNIGYTqNyPcfi2/M7FyW+2inYaXj9+uJL7nxJTc6FE06vtqNh/QR0pltHrQm43vdPM0pMSUQHs/nKYISpu1ltCl5fbmNyOEx2xBgNsAdypusCtsY8oq+JgeItVGXU+W1u/ZS/dT3ZAuLAofPAhP//lMyCMN0kj0J3jRMvsFJkDcFAnmjDsvDsY5szAwfNyhw5oEn/ncYq213N/bb4Fe7qn9ibN/pBquttHz/yVTn/uNrIhTrJgKCMeH7Ca6d7PIW4PK9rL1k66K+OMtTyvey7k/SbtyLDLMvpwh/gthvKsdzwvQj0YkdL30VnuxFuRUHNv3apFruVM+uHL9/R//+s9MvR+xfMC1GbsCMkrCwiLpFyHfEeTpHNe1oWxZJbX/HlDdIzsrxJCgvhMMdcWFCeBKyuUo+Natid9cK9UmH04ycB8s46RC+m52ICqHIm9fctxCYuN+CcGDXO3OGICCpvtGsEbkqsAcxOU+oM8swlMF2JC27lJBO9YZx3vvt80Q7wOpdSezYi1Mam7mOLhgRdOezz9HstxXtm7koYwDKm4wFDg9GO+F8Kop12lHvc+NOtiJ/q2aDqflb5/h0W3+2fnw3b+BKx1CnzTGrJoR7nUMZn22HMC8YDijbqdfbKOAhrOI07QW00FKQFC8v785aD/sTE+KT7bAys+YUDkTJIYlDMM4F9G6xC1V04o2fRnMHTjqVuqED4cAN3OFGNoIJ8hrNQFEbMvPWNT12rWvMASthsaM5xsXrFrs7l6RkHyeVcTrYxn34ZwfhEacDDo/KREEdODN2xssaQUDFnDBWyWYns9+X7Hc1eLGTkrDwl5KH11GQoUI/owxvWvH+XQo8etx79H1f+B/P3/DVbnzrNU7FouNCR1fBU1u2yzh983tf/R5Y0LxdNgeXnYS1e2Fb67joHqYwKKnY3+yTyAh/havjetwjPLGP6aXQdsdaFQD6pdBL0Vsz428b06/T4e6KoD58Ldgd7rfd5SlA92haMoewIc8dGzLS9LS5SWQ51eRzoMOpvuXjvDYk48kilHfad1Dm2POrIO51jY0SdnK1291Pgz7LpH9AbLZIUSu8i096UPgN2/wSrTe6EQoGvff7LeNOT3+2WRtJqGdZopyQjfFo9N4qGHeU0rjxmNKYB/8tymOdExmoBnWBwpyy8Z43hW34MdelvkHO5YWUN0chGQ5gonXxggvR13LylJW+lzuWGe+o7tgEknDufA9mCk+cXvg1AgV2RjNnhwGzBh2K5kt+/jzKt9THZM/jOkmR9vd+8ipkFlvrjpe7tlJ5vE4L3FFW0K+y+7yPial9Tor/pu6xWaWEPOQ+cbsOd+LD8/e7/vxKCFk48LXJNEL6uqS5YtFQnI+F4Rh7g0Ytv1uKO3pxWOPbPFhp4rbeQ9puLuFkm54k7qmybBa5KGRSOF2gcTF6mGiM0wg/UlNpptORSp+F/ngOiO4shqmZPcR4sTbYOOjPUOqotGInC3IUjuCXVGbRszZ8Z8uHTie8OI9QfYdFH3gpuVz6XuSUpAN6H6yNkHG8fzEYk9Rq1VedLul8J7bOxoYgkwkvQJ9AfxjQF11nI3Ylhp2sHBtbx2CrVT6jmuUJC1AqsyUgfUOoy0JRr8G6RFsBpt6ZBC2r38Xjuhk1eKVMpdk3NLreksZNzS5j/Ws678ylrnATgtxFlylUZOlDTSwzLLSBwExrgzYf1gMLDJfXEePiG7JjbArgqnFXKvO2uE7FO+c6h2gKZx1kpwCjrn+ELUHmGrLvUucixmeuB2H9kyeCadJB5hHXU0lWDprVxTaAr+MYc9AFeDbo7zdExh2x//L4xsMm4lsvdG341gvfaae8nWi1DbwL7YixKDhNYypXHzokkG0rBdihYyrEYOr30F3FJ9Q2uQcOiNNoW++QFLHIz1t46GbtxJCYBisST6y8OeTXSvcS8Pn7tHcVmX1Do6vO4vDs1mp+sPktWO4idl1KE1zItJzqT311EsQowTyBTvqqnfh32ieGF9rndZ2xOWAHfzSAjGcOSx2TDS/zyINLlEGuXqlIpYvEkxdZmWGhMkmO4I31zOvriV/nmaWfJ/3L26l92kawiwIFdoePYI+TuwQbh/c9OV+XU9xLhknbfR3EAa9G+mLdKEuwVZ0l8FsO+bWMBy33DPuEI9EBAFXf4pOisaHfcf/AU5dnjM8V7moTWCqi7wkPPZqrHzo7TAS1WenPsFkoWOcdZNx4KdGkBddp7v4r0y9H7F81FdxxB1jgVMOy0EbGylAz4jsC1wUhtACrg2OnqElSxjcGLuA9I4sKvelJkeqpDW8HAFrv6be3EeHcGsYJvYVR+sDkvk1mNIwY/ZIRPvEAa62Dmb24RObGfyfI2BAYYCHUAfOuHU7GfDzc3aLoy8gUp3CtLnd4LXVVRlscV9Dp7HHHrjNcARaFxQVxAZ0oCmJpSpEz0MKwdn2FzpOw8dj77ApTHzC6YwAMl6+djWA3hZDxpV9jx2qn8l5vE0CvcTJWAMR9sAQn1E7Leqgc0bku00lvWjeuvIhAn36MS+bpOm1ouEMRTiGOgaF83QJcFvYWOphUrEFTci3MS+ze7HluQttlxueOWD4N6opNF1NYxXDDDN4X0DGMV93mxU9vLinWiNdpDqsJ+jJXAOYJ7TJ/AKaCTkJScvgoYrxhzqFw+rkix41bO66kjvWkYzw9fLA7mrvddYN5/E7c4MBOQavfT2KqO2GLI1Y8TLQiwkPJtwRYAKZjludxM2bHd1tBEEmgrHduTsXcBqfBwizJcI5+2alfBW4V/M/nb3i0G9+/XfiSG00UjzYcsbc5QMXXSoRytr+6EcNDgjWgPYbluVko6OtStDZOHVdwn88r7TwHEM7ix6NDVXE/2zjFe91oTdHvhvtuc10ooN86wmjZfA32MY1mENuIQLS1fQsJ1waTKROtI3aLT4F60rJkaGxA3SwTffQ5UgQvZCNSwqyyNkQBPIm/K9AI3mFInPXF6Wl3wnpb7ihugD4sTNcTsREjogZYf/uXJh7WnoIlLOur5KenjQdw/0D9S8mf7/Ce6NTCAzutBRrTMDbFZ77jPSlpmL/jZ+G/LBsk3ioGnzsSfA36RozdevZ6uE9UxvPMe2nzSdAwYhcjOsuZyWG2my/FFiaGdXcKjj8BrGGxBOEwSU5Yh0N56DWHS/TytN4ibH+Byze6xdqKd7lf1W7JyTcBqMO8yGGT5w4jwMg/N79xQ7O93XgvDg3MfuaMPJa0o1oGBrR74plsTh3u2nW9Q2VeEdBupfG0zGFsMRrj83ZhbiKE8QOif7/SIbmxqp4cLXhejUo7PbGu87TGvcwH87HkZ/q0K1+fufxEssgOxij+ZmPJzFf7P+n2uF5ks658LZ367bTYDeqlva3su9Sx3ju9GCl9KW3gSBFlVnLBPp5j/VEP9WkxzGE+XzcinXl2yCCVFoDKyAv0IFhTX0iWSZ2msYxrI3Q+X/hlgYt5veiEXRQh90QZ7oNibNrF2BTbu4wIIG06XkKuM+eNfpF5OxYusQXrcB0blmfduRrPfChMX+0eqUByed6sWBWutHz8lZ/ojPtjDb6udlUPZnSn22GngRVMHdPHmMY5pUo36muWtXZrtsJenjMvV5cfbK7TJrCl4VJX4KHuy3g/3AHvgp69ExqfhWRxG4ekgHeAnJFCYyfncVSEHs/hRYEsS6VyTuuAJU+lEe74EtuYPuxClpfeczQ+x9lx6rWjQ6YTVq8ZrhmY+Ow0YLnK50W/gVjcjQj1yX4/QxaPK220T6KkMjskYGfskOe02aZsd9Yr/b5G/91xAbvSo3aBf8RXpkHUpYqb/l3r9xd8tepC3GbdbLqj+5XGs67EOv4r9ril7TznBF/wc8c972ctl3ic0sEHzA2gu8SDXJ8HwOV7XTc8Js6rBdNu5VU6am14cPSn1u/1ysybXzgMeuSBMefWBsuAS1+BGfUy4VXO9FL+KWs0aDJFCROGG7P+ZPeKxjbPLG9EyqoHpkj/HZ9Ien7UW0Gvz3gtVLqzGeNtYjlE5/jvDRYU7YkPPL3gFQkWgjm9FpyJYGr/UCcmO3I8dufpESTBsrmD+5bs5zD4ijP2nzH9csT+1dOO8L1aG2wMDoI1Cc9xMb+oNylqcSL3gwXK9RqhVT9mSIxgEtlJYPkusMyYzrCPO/IkFv/Svp+KoCqqbSsWdBEwkhDEnwxv/J51ze20uhrCS3pF7KeSgESIRD1MCqZxz8d6N0cu9DgsOwa2ALYncolYngzdzNxqyN0XsK2nFxXMnAbBJmmBmU9lwjr7qoIUZir1I2RmD82E5OyFIO59FBnhVtUllebhjNQclwcpyJShGX5nHQaNULf0UmHOujzQ4vC2OT4Jv9M6UCo376TNjVu7JpSKeghmmXdeesNpDeT7qGMu3UGjNKckVEWbuxTCKXfWu0L9LafKY/0anRKQXrZZY3LbzmwpG1QcRpXon1YJodN3gtEd5aojHPUkQZavz8EP40ccv95IUt6Jw/inYTsIJVsnTf25FYAIHR3sWr/jvs7xd3y9b8X3feGpDc9+4W/9C9+4SKFu0SW5FB7y28d32cVNeLDtv62v3hsui3875TZFa/M773z27+OuHzXH7vgtHiqhl9N4Tkt5qZpC7WPhoY54cwvfM6Yi0Ieik1FP/Z9g3hVboyeAeHPleSj8hNfchudFfgu33FxzZbpbNs0kfkZ4meDx9gRpo0M1nnJd404goiXeUe7blHLmmPkGIT79uEku7Ne1dDQA0jgm2aIu0/I8ZIK6Xu7p8OLduF42ws4WeEIR7ZrW8nKfp1f3hr7WO1/dCJBkrE1/k5K4+yynJ/3Ilt8jxDgRzfQCj/Ur7u5LzqVMa5cxLPPFiuoiF4Kev3D670IYLmsp9VfyvJMs/qdSmefltSDz1Fe4X2hpDsE8187J6HJKbxVhG4+oO37bWo959MnSfBr4Xf3/Z088XsBcy84/d/TkkBbnXJWNuFnGFVrXR1zn50MoWt6rydQ1Msry3eESh3lWvjvxn5pRAH63Z92gsStG4pnz59gsVfvKMlN9vql/ty7f4fs0aK8RAtiBpKWu4LmbiDKLk5fzOtzFgLnrz07t4e+VpeTMcy7j+pFUObY4tuBsOVWDO8+JME2tbajRfI9ssZGvYiMT8TNHv25wit0D3PyZ2rUl4neB0ulY38DJc2VRjhTYOmOVB6GP3XSxyZOGKzHpcBTZ29hci9EWteN92sphVT+BEu2mPAKKtGTP/eSiy4VtjIteEo6JuiZ28lkNMZxOvVKXT8ZyB3XO8YZoMR+MPx7P+VxFpxNakRXPyKu0ACZtVudzQNJLEtgtr/S0obcjIv7UuvN35AhjDlKX5GwJOmDPEkgb2WBxWr9c5OX5ieZu0k2Eazhnqc8xN4SH/o6ds6IR1cqvtIk/csTWk7Hzndo1Ux23+LVxppOE3KlET8fcjgghAyFHN8wB6A5YIDbFqhNunhMXK4mGnfC88qWqb4zfJHsxzY9C6/eFT/HPA3nY/V6eC8HsujKPv0S21H6WUzzMuyW3Pdn3pF/ToRGfN+d1EdXtsmh+uxOyG54BHMaHUNJVa9nM2+5e0dSE5Pzb8d7IHPx4x6937byCI/XnwKurU/mVXaraJqpM+VNOtnd4DLzUpVY9cs7JcVw2vIjbzus06+9HGGTjy1jyHfgV4wnpUwsv43ks/Rq0S/dt1CYr2lK91T6QYCcbSaIDBIOPXeC+13WQ7ZN96mfw5j8w/XLE/lXTibkyw9wg+3huQqkvQhIUd7va3zHICPfHu0PKjluGZ7sABLbLmF4+Z6hAefbCVCSVDcWovKt3uO36HDrFjXC4LMnL2qL3EJKnkDSVmSUDJsMBFGKITEB0hrzSKMsTToS9yThlRe0PhmJ3iT2wDQMXijccn8Qch8i7T4gYKo9bYZKBk1zOjJiMK34a1/GiPyTKLwwAnsdxhJ7biVc2xgqQlOhq2I7xYYZHPCVwmJs3YaspRvhRCOSyup259fnZbzv5+TWEbLnM2X4Lxr2pGidQQ8DgE6g+BgnxYQpDWUQq0Luhu/Jg5aR106tnO9FGy22LlfXQNxEqRzHuxlAAzzYcyaSoSSjMmGurOtXbYNrizirbcKGXQh8ydG479dd8Tp/5pMxi8Cl4OedW5xrFGP9l912coKC79EIJ0VgTohin9UTGCV53kHl1ff5edjorbKyICAsgV0fFbTemoDdzFJbt353qKWPg7cqd790ZhkQaJ4c78YL1O6+/Ha2eAhyV5/W/2QUtlkcD7tEfP136x/cDf9wP/K098N+f/4IGxbc2dG142lg8rhtfXze+Ady4xhz/YYTRnSR2CnanIChGu70LVC9cV8eXrb9bJZziPCgiOhR5OG1QPB43vUfwC+2CbkcaPPSX46VYn1UA/Rq/2w+EkudrLE6VsoNJgft3mWNLJ8WGk9b7bkD1OQehoNPpjORAqXSU5jNQEJPuO3/Ry2nu3CEf95x7ncQvWFhOBivjMSoY0qgYHDJoLBst3ACoDcCDTgPueAX4xKk5Nm0Mmr2XJCdMvHYDLIeGEqIniedTX+MZ5jjv8jS+03mbxiT0C+i/TRwaNG1EA+jkjI512JGMAhLP5hiFoeUmHlnWdzII2OmPdvtGMU1rfRglJEKepvE0WZLvjndY2pPndobSbk+JU5bpJFXQI4HLPOlaAwrTxDLwznA6HQ3zSopXhg0fi+5G0BLaqaZkwPc+R4UaYSkH0bZxInpb66rwLI4t2LzHifLiKD0lVnT5t+FTMioo0R9oCk0bcG7W4QJH6ScbEKMtz1fqi80pmGM88LIytV/plHgTh9816HT75e6/zbOk8wHw3ew7x4bL/vx7ea8rvjgNS3jg5OSw/mq9CD1Dj2iSwtgx74Dz57lJ19+HTmFtROaAfRp9o1mXmVtBb5LnqhMkxqT2lyoeX+f8pTkwmL2fSR4L2cSyRtQATLm4yHhx117IXGSQdlKWxSgakwxXHTNQk9s+F/klNols6GSqm9t0uaPSUOebxPMTTy1wjGqJj7Gz3tHhxjzN5jCLifANkKcBq0BThT4QEQ4C0cX4BW+0jE7aGr60PMfQC1TQ7dqO5rIbLz5yKgXYrYZfFe5ySuGYZR6qPImcuVTC1ad8dnLXr4WBAE3RHwIx2aeVE407p0Vqk+eL2g47QAJbkt3oZRhzxqOSqqyb9EOP+nIDIzz1phIH1SMgyaA/7WF69AamOLFp+owaINqB/qSdZD4uZG/wSE9iuqaw7Mh0qcC4cyxtr4CqPN0/ebPDSabicLw2Wd6/XscCwxnr8Y5Ux4ZfdaIia5/T/PiVNu54tatt+Eqb6givTthx5mOUfT6vxFEURkP9BzDmvwN4KGaE5oEf3cbeN6vLzdHYLIqSd4PGPI1foXXA5N2RiPa7rB1XydQ5w/wdw7qZXy39DDzYbPLZ1r957/qQXvPUdMAPjMhRlDcLFAOYxJcdTls3U28jYqKYMrttAO0A5AGjyx42fPa3mOfS2E8baOlz5Y1En7rrUZs5TqBanmXO6b0U+BK/VoQsFPNbI0mh/N7w05Unj4aP9l3kfmXbrAaf9DYXvON2UqUZ7nSIZ+Nw3TphdfAOju7pct9Ox98m4i/ePx/b7RWNdX78seTPBWdegcB1l3rYBhLvN3lqfcOuSw815+1uI+C8Bzq1brqkDZ4+1r2sNfs+wNYFxshywLctHP/J6Zcj9n+x5Iv7z6YTUr407FQBm59HBad6JZw2KfTdZjdDUkhPsOgkapUgn/q2Mxzs6h2ZnUm5kDvrqMYCNKzMKRqVyLeMazWQLfC+PnHMRo2lDxvCU2XzpdiO8SIL6VxBZRAnIl5hE6xlo3yFm/DgGFqMvnP9Veh4BdPxubUrdr9wKB6bU51ZoNgg7wvcU2eOUZaLl98K23XpO6LF8FTTex+7FG4KoJO2s63w3+7GaydA8hjxjkUFhfq1cbqQwryoYJ5Gbnm+Yj59PP8E81zWJCdWHnbfuV8C6Etk3tTLVXSZoaNtqcepV6FT+Tzntis26qS1tyjlLqG68fwVHv8E3FHsHR19MT+Byx3JsOSgPPXCbQaoZ79iR3OUFxPChP54fdc+UOcFgLQsZXcdJ9cFeDFQVOVLQduQ03lahB0Hxr0/FBbGjQTWhxg7VoaBtEvXf4fcbePEigCvIXjRgsdLm8A6X7t+1rzejhtmWcFgeJje4gPhl+Y2wed47fVg7jBPbS315dB0Wuvn8ru+M58j/H4lNxQb5poOdJT7wHzr5V02kf+N8Md9SLCu8lJViLfG8xew5PqdduvKD52HlzZryOdTX7Z9/oA3nGQgh/dlOvV9aeQjkrKHqSrmc9EjhW9yPMZeZq71Z4X5c+BYhvtUcf1ZBfdl3YfnuygAv9IHyefTjIpOawb/1jeM7u9o8wXK7ej3Yqg8lXUZ8oN1MOvODpdzxiLbYI7b23Iwo687kyuOfyrLUtuJVm3b/Yn527X/DqbCBx0QTcSc8mLOa5ILqMqj8/4n6OdHadPX4LO+mUdNrujz2aKy7cgz3/urk5/WjYmx36WTrOZ/N+JeYoHS5jmZJ+Wo7bjOxPWS8i70CPi7/Cz0sYIykqyyM2taWik/j4euE7xL7nEqdQWsO0R3eZOix7CD8C3/4PGpuPXpWqx4Tzh9avuoLwqSfh6wJp7vz6bQeVoWjrvL1TYudPO6pO/JCVtktK0DFps1+2Y8j/rhIo8aLTGnjQbtlLlOMHCkq0QkpVsbGjR0xlun7jico2UMlv5QRCtzpkJiiczNCuKhh2dF3U4bpxOxMjbxtqboHm5a5yYMnx9A56bT7iGL7X3ztTg316UIL2JfzBG4OFcLHU76VF1zHJGpylV/kmexbTF90U0VBVcYTndaKv9mJ+8GVo+wdEonEpV14ln5Ln/o0szzaj0M2o5OMcs8lBlzT/dYbzuUX6zyPnXrlJguOGyFh2/L7Nr7IO3krx3Mx/cv6v05QPaP8wnxSX/UCMJiV9l8fw1nbTB/fjSeiSdXJl2yMg4roTi935VJ5Tf5X8199UlVG4fa5yf66LD9zq2StcRcK5s+8MnfKPDhRP0Hp1+O2L9gYhl5GkgGarZvUybsHiUn7tuFwoTEiWnbI+YS453r2HJVqy8xNS6HVeBM5UyocbnpGjsq4lDYk5QPQeaZimHob6tA4bsyMsdCMPfoq8zTEttdM7ft2uy5ft7l1B+jPb7PMsaknk6qu9FDW3PikQnaEppZCB+q4OLlzenVf5swqCAuhvdx44vaY0zsXrxup4qk0wkhIsaLkGTz0coddVtGpbnNZDC/vD8y5wg8fgiDkp+SaukukzLe/sp2I8VJGsy1EidsY23UcgC8rN15yHdVBdpc41F7DmW6P2aeqI/vZmVuqXbPZMe8G5SFVBq70ZZAYXdoio7Td02ht8x7Rk0Blq85GaqYpzcF+zDRLKQ1E3TTYNLkqgBXR/u6rV8yQ2u5s8lDeynmLm0ZOCY2n4FA5YSfn6Cq9wW4wBRGDEycUbuvl08Mxqko+kN81/mbcEj91KXTmTKXDEucelZMx+N3G8P4GDtth0I58revPubpxzjxiZsWcXHECj/XQqdM4ZQnTUs5/XBK6Y6MimsbIZnrTYqiH/z1EwEqcf+UPO2k32OKU8/e8OwN/35/4RLFH/cDT224e8sKdevAY1ix9EuG8cpOZsbdOm3cQRunfqC4Hjeuq1t4LkmK9OO604GGbjipptB72/zZe0PvfsKWhqkp5KFQ6cB9zVBq9ic6Goj7uX09NIyd0oRPEezgOcZzjNkcd6DQVJn1xTRtnsGXug+Bn0L1Tvi0OG/kO7WJ78ay7ZNHuDjQfe10rHTfYWoZNm1AfxzoiucLmEmJ8zVK8AUgsO8+9kEPZr+mkUOMpq/N83j7OCWnouclPhzyid2BzcaJ2YB1J+6+1LkxxXhQe2rw77rLfLRbTsJS3Up9SEoRw06w7mDk9e3jlWgC0ZVw6vgJUs1/3OeEf/71YWPA970yvMR7GalVJM1bKmvvBy5Lwlvf9T/zAVsaac+9nnBgu+G8Z1hXJZuJxGwjjaXJfRWvAgSXV1zOorXZ/H5yn0NMfJw4X+SmBE8ZZ3of+kPMXz51m84Q5mnJPCRwTCZBZHh8DtkJ4n0qivoMU3neBf0r5bTQHnUaU/jRZme6l69iHoBpAME5RPHIuIGB6n8lnHBb6Xmbn+GMxSR0r3Dj4yt0fBd+KzrzZjwXvuAOBdIxmDWldcpJZl8UMP0iZ9K6dmsVTotfdbO0HWUIjshHZYSeRbhMyeO9yJtEt5xniGLdyEr9Y4cPtxn1+XwzbEXeqDrqlKEREQmSLu7vndew7F1gEPsXp9EC1kKvjPewjuxLTTtMPxuVDzlIQjcFdOhPTyFekVlg2iwrY/DHacDZeS0Do4px4k/GBMriXSO2ZX30aFnjnURbMR405xMmRjD7dF300uyQdWeZUjlv98JwakEhtwA35gk4lyF2MpBH9qCrNLYphsf7NZ8NfNBZn9ddZWuDe1wLVfrsc+N9TOWo32kT83juGzm1j/alDWef2wvc4ao0t1BA7zY3v3obXm83mmKffEI78P8musNyBfJc13UJYNlAmOw13vfNpjsBBr7DHKKubwsiiljvDc/7wv98/oYmiv/Zf8OX3MMJC4umZFc1tasPHZJxqrQZyfR7uTrEHKHSul1FM0IOP8qG3icarRONvwbg8biHHmnz4O96F/S7Ga51uJlDm4zIWB3Ac4YohtEOPw0bEdqe46oYpXH3fomF79/R4e2VNpVekj4adrEDrU5D6vU9QGvZmiBbI9fttDNsM/6O7TOXf2ro1Unn8j6IzkhRmDR8borR2b8M+crEok5bg0wbiN4v+alKajLMe1ryCIiey/p+5Jn0a3FgMl8gGwxAY062LB7n0F868UJFijJ4SqzThb28rinZPLO+LnfR8nvqXOLD2ExR3VDMtHcHD+Y4VRt/sl97nYynpS7d4UFtN/DA4NwiDrKenMpN3PHf+wpcMAA2O6xsjih6ST9VVNYPQLruKya6h93LAzCD54DvY92NBJG4mqnqjzR2IcrI/B40jH7/Mzhjfzli/xdKTtASISKeclJkt88WorJjThsE/hM7UXYE6XQi9qN0CKMwhFgdO05ZeAzKJkEYFmdtAgSTiGUTVKkPKwOgvgj273dyAPeBm0ogMhiFMcRuKmIaHHZRgTDGV1gATCP9u8TtVkGDKkjKdTWw1XFnRkdj+olTKRmegbQWBkHWcx0bhpjGy+vrOsJS9SwACTkh5gnHDSBNsSxSanPUR2u6CNQs6MZQ2ulTV8LnjlhnYJuJVgHFxZn1MxycdsJqGagZgseNSRohicdayeEh7dHE7boEK1yv0o48eXgUrr+soSTQw2HTlCc+d+NSacBGKE/fdRhg/JRsWoMOTAfC8Vrr4PncrY2PCWfOnujQgWck+wrlVfrtuB/0ThHKfxQxA8Ldx+7mJ2A7ndtyKhZAGL1UNqHkXfiS0aiHjxOB7U6mvmLsqn5Y/uZA94YOF/I2d2oR3BkunWtaMRQ3Z8JuzDb4K70WYAn5yQoDG2vdETNgLYBVWr3wciqvSJtH+H0s/d0arDSe1+9PiABHBWbXTl13xA9ijTrxoPzZYUTvvJ87fiVU7gPc98qDN5yW3E6s2MgMlTeyk/XEN7fK7Abm5AxleYLG5GcSw3Hkyc5nX9Dvt6fTEt0bc80hipfsNbJKpe2v8PQExokfFjw+OmG3dQoWhXnXBmh8E66O8ju58Wfn8i2MH+XdPNIpYhzTofrFGLDQzZ+A7Vc6JqYPK23z9fZJRTxBPz8vP4PHdcPnsoFsge3Fu/+gFONZ1659fzmmApzC7+Z8mzWw4zUvkp5oG8GS4NrVvePnr9IH8/GPo2HlJ+lNzLdCvCjPBzCznkSPStlT82FLtHqTXuhymDkUx8Yr43HRvrXAMhAnLXmoXJxURX4ecvhPDLRvcDz9/qm0WxdR8YDZ5XzfrOiRlLxcyHF1rn5yDYwmRyVHWeRn6IceMOKkUPD7Ez9UmXpGIR5a+q++SZSZ71Y+q0oDw/GBTLbIO/b5ouiWz1B5sU8NOHLdqsDdJTbwPnvD1bo5YetpWEydP/WNAaJP3lhg5RPs9L5u6q3N5A28Qo7aMX8Cx2mZthfJf47fHpp40Yd8auspUcc/pm8ui70IdbvodZ/Q/lOSAo7PxQnfDnUcbSpLXp0wusMVsujc0STL7RUIL8N0pH5SPemRk+HNGvkzcvAKWln78PCvJV+liZs2dnxuJ4Nt6xrAlAq9Dr/2YtOXF2t/C/vm987m8LOnYY/3wW7md76rIYpP+fBT/OLkjP4Zm8qp3h3OVfv4pynbETayZzTgBRQLESUYuN754zVkr/wku7z/MDnyPyD9csT+BRN79h3B8wkOHferisaF4lvjiO3y5V0B7KSbDSJOl0ab8Y7uT3FhgJA+dta44nHVxbYhnIp08mZUNBZ7WniV0Xl6EdZOgOGMtT77bnCIhf4BwW6KUXIoMIzYLG5i3NeP0j+fNz+BijmP01BMV8nznFBfll1ckk8Izh1kBFybO+Aq8VXBOLXJzLhh7s5STKXH2sgGYarH5i5a1lIvCz0b5g/M++O6yDhVpeN0q5L0xrv8Tow04V5pO+Cle5Da04QGc3rEfcmCECYcBAHNgztc7SSHPZo7Ui8Z4/tQ2wXskjBCaJw7B+35TdKrYNzZcucO6NwNMHcUf7fx+7KOkyKm1p74ibrn6IB6W7B6HLEdNh479yrzSc2azxzL7dHR2jyBCGDufrbycdL5obh/G+vx+mHNBJ4PWKRj7NjFXJtprn33H1tFgNiEwE732A3Kuy1l1NG+Bf03TVfxKi0cuWWGvXFnlp9GqqeEfReyj4uWsbbTyng26KVotjM2cCEUM8kbTIC4V0hU6A4eSbtlHfdjDdAO/2XdEN2rRu9K41lArPWk9e/ZQ0E0oa1j3F/7HPcaf39f+Nvzga6C/88f/y0col0F3/c17FS9ofc27vu5BbglQmnpw06J+V1LzTYByLjbx9N9N1KER52t9bGXAuP0q7//aiO01MnI1CPvlDFVR97ucFH/+2PMf7ttqjy0Ic1NOn1N4+aO2N0p5cA44j1x7+rmXfDhC/M0NeZJ9MAfUjC43VhrXg+dGucQjAGcwOSQudbYmKmMP0RH/N4efQwA5VssFPx4Jr6ueLwunbQ0Hvr6JbpyweQAO5l9Ie5NhS3T2EiDXJ/yHFmf6/3kPvdyT3KaThWjzA983CctrXgQ9/6eTuEX+UKdPnEWimzRLzt4YQbfOFn5xJw3kn98LIHMU6sM4/Of7vdGrifCQHqEi9jZ6oRntsenT/gUKkzGSfKQUH7M98nw5Ouj+f011D1qaz4j2HWTV31c58u5yUEXWjppqvfZq6Hykqd3ynJzTCfdLeV8jaf1q8v7lGg9xmeaT13mz/E65fdx5vxFVBiA+N2C9sLHye8aNnyqRg6vY9AaDbz7eIf2/8lTMtTJlI22+RYm7sghif5xmbUiiXLVkLUztPDJyncpNlr4micZNd2RrgX3C9wvLVGez04CJHxkHmYLTohuxjtqq9kJvl3UCv7uLHQxhpIelsB0GbGmN8vC6++FL4cM6nwYuV+rgIeI2OF0oerqWnHlk3Hf9GOG6+W6V5xkQ+miD1udfLd5utd7027iAZXf1c8dfgnQYBtmnoN/4Zq8CDJCnIo6Lzb7TYvCo6qGeY8lMxf/qsByvYlibuZ1GIPvjKhL4cwEQq51tPJTu9xPwZSLQz4ucxossiNfr8J56Z7O6FOj76pDP4ICF0JW713RRNBvgrHN6DHCp19P9KSuaYBkXYt2JTL0CZMb4KTLy4Z8oXSCcLQt1neBnUb2dvoGoGSRxp4I+sLy9kseJb08HLBsN+B6CZ8zLhMtM7jCKqVY6fzuGTUXXfM5rsntbLPp1F+Bzjz3OA3Vn4JbLjx7w3e/8Lf7C//H/Tv+6F9xN+yPfkF1XD0zTqUCd7sCF8XtHqZnh05P68CB52uc/OQxO1gfBx0xqhCN+2W546rjlGzrY537mhu4JFOvMv1x6EsyToIb7ejXHNvFJtcGPdnNkdtAkpy/Oxm44VOxZgx22Nz5p/MApslBSy4MeZnoeLQtue4sb294lNN24v1pDQb/Hs99TSz25VxltCeKcfpWJUxsehOMzl940yfzjGJnWXRylHdedonsg2VuuI4Bq60T53M+py4f6+CBi73GIw+5DK5In1XmUe9XIVcBC58yVSz2/dDFACwHYZTGi3B5uSKgjiOPXa0H870Y4Y7T1NZ3vsN9wFgmJ8kSQt+xT1zPMs97PpzwfUdPdVDh7pvyOVRFybf83myi3Nrv6zhW+f2TDZlMIxxEBXa+jb9nA23CvzbrW/Rtisy1lO/6d8Hwj0q/HLF/8cRK4Hw4Cdy8JBmZIGjKjthRj6xwhuCJuUalUJYw/NQQLdQO379yFIoj7/y+nGrYGFx4B+P+vtD5bDqTjTAo7ITeHqST0BljavXX+9Vax3TkAWADoWAlFqeUDL6afzs8/DsJGEQIk1HWBSWXUyoMLphh/dwqoExsJefJ4eU2Ug99Xwy+hSk5zAnUUxgM/smhIIj5sKDYXCEnZxnPUboXmNqeRmgPgWrJhRDB3MHITgpzumTpi/qt9E6oTu5fzLOOulzZNUdo8FCSnsWcf1BA70Zt+kAUWuKDxWOrMh1pxQg+6sAIiePhlZIlSmd5f2UC8rIGZb53hYyNISwMB5g8lLTpYxH4TKBKdbjgusGpsd59EWI4hNzZDclzk+isEc9Q8uZ4DAeeQrWFsqyXZNyv6936vrSDSZdCCN3QrvS5SZN2TXqenCy7Ois8B4GPy4jhqt4CvUeI37s3/ADQ5Gsot6bhPfvc4RzT2GmcVKCPPnGRFDABcF0azlRXlhs5zP15h2L4EARX6xFayk9ROylzme/Zp4I+01izNUydK4yiancE87M5hlqr4tPiRk/mphTLJlSe6HXUwZ88Da4IO38nPr8o9sWAFs5E7xu3oaU5Wse7MG5RrMJIhhHvlNxzPtSAT1PQMAwqijBAjL5MHqB+Kp/bi/W/3+yVxo3mlen/+J07EePkIf1frL3szPL6p7Ohju9S1Y5G1CyHaCHRL69fs/HtVM+ymQATBwNPFjlh0uLzbWdUJ5X3sPMuT6Ww1rtTsW1uRAwDgSvf/mxTfjHqY87dbq5reK0k5tpcTKPGWMyVpuZ1KyGfVoNWjK3m+tNpCKYH9Dux8iJ2bPElNjHN9yE/V1pDYyeQKaszHKW/vawJlqm2eM79MPziMNa/0gep4A0/2+qKS3ljGq/yoMw5p7Ru9vizTTvnrTg/8MKbYv6sid3B949PvCZSmylPpqmVzXA6jp1nPshYLw1kqUBpmPlLgdffZ1pZ2tP8jnn6q/FO4/ZCVlkLzj6806Ejf+WPFQ56/nIcFVuaykO6SIU232J6X5Q3J2zQPcHc/PXA1EWUKq2wU79C3/MGWQby74GAVrC7TKrTwajrWnPZOZy0/PoTvHs1QMlqC2K21B9f5y7jicRnyNLFKVTn5j8s8Ry8oEVH3E7MmOYv4Wx+fjpklHT+V9EBUqENmO/K7d7v6nmR2GbkBXY8Iep2G4frbKQbPm1nYdf5zJ2y6VSrgHQDasjxLv7oldO2aq+xuv1z54z1EuspWq/Xo5lMWpvhGVKybwyd+hBoPSDkrBgrtTL2W4t86vWErmFtVJ3+I/r6Dld8/Jz2HTa5nvSWs0zwoulK82PcFHEFV12rpb7gX05/dvWWZwv+foDbn4zx1pFW5XIAcL6943FKOGrl5ybYDcy7/nCeA9xbvr8wxfms2u7Yvj7D7G7o+U8IcztHeYVncZJSCt2N338qe+zaPZTdOgx16oKfyHiLf2HjDI+192IeOf/8sQHgdCqW+u6s/GdSZYunU7Wn9GfW1X9F+uWI/YunhJwL4TAhpJMQG2VmvmT0cOLsO9CqAdaIQmonnSgoAFp9+9Bx/trgNEq1E6iX07Cb9DKkjBObwriGMGCn7czCflq8y32UIDib3bHUKdJsFYo2DG8hmFWr4tPOJhT5HWdRts061O8f9XaRy7JCzTuXxOa8PbE/PWHl/cCe5+dUDdQmfUb7SyJGHE4xh9vqEkXcDRHjpUininfO8qX/QHYK+wYFMngzl/d72JbydR1Rm9J1nrrBhL89XYAW9EuhrUFvHY68hrErstw1HEqzGzSLoDL6PfK4oB197mI7iOm5jIEaIVo2kpUrHs6dy6DOnc0ynY58yhEap12FnY6gcjZ87kCBKPDQ4c/9tmYbcN+STjy3b4v83MRO7em8j7KkumNSFOaQpfGl0+F+Qq8/LN81d1TKLUBT9C8eG6zzRGMRc8KGBGA4Wm+DwcZHnwJ9mrfY8dB3L9dd4sA8bet1Eo2Mtdd0KnSe6nzbOm7kkHC5XRhfuIuuoG1wf7f+hGGicePx5dR7w9++H2ii+L4bmgC/PZ4QAD/uC7c5avvd0J/muA7n9+izjq3y834ld77ZOmqtD0dm63i0nu6encrJcK7e/bTVcfoXLlHg6nM6dNwD5As/lGAfTxl0oBle98s2K8TO7LNQyDwgbaYvfE0F0ykh81mkwCWsc2NtGKna8hE9PE+81flUMQ6EHanmZWdzPfGjQNxPdWncOwuMtTbxVQOGiBwQa4KeqwMyeRjjvN/H9skGn8DzNqI3JEVxN0b8W/fDmJpTQJ5FZtD5F+Bs4AreSbx91ms0Ik7mjgpCDnCnojMX71edb4Kzwh34WO5xGuDJOC0LEK3dDUDp06aPub/Eb4jeJ6Xe6nXWGsq3542d1zKbDVwpPDFFhinj7L8rPtjJLYHERj2+ImKuj3wCZ9lg6OuK8YDbiv7MfnIez5fovcPW58UccdLMeIbYvcxBPzb9rDrCVifwr+XE8Kh3RKfZnVRjejLLSdyb/Sv9fBKLcDLkVwxhy+jmURfyNcW00z45DXzyhV9x+M19stzWrl6dtKtW4xs2Fl23CXAf2jTaxxs2KxxQpHCyAj+xSLAC2/LjPWUofLmGWV7A83VIPL8aqhKPLX0bVRvNqdGWChxa6GJ6Z39iY+ERUJT1MZl5knyKFe7aRoV7KxPRMz5Bs8OToPFRn57rRZEJTslp9QbuGhGG5y3G62kRWR4y+ZfMA00a8ordhQrNG1V9Pj0CTOl46JMqJF8y4aT8za6wIYYw2MZABO0wxyzVr/NZlI0BOA0sD97muX82oH3NnX5jo2QbpwCNLgGC/jTRjjcg+e8LpkMV+cnb2cgTaVNYxSOP8kCRRpxfJX1GRmMcJSZgO9CE8Z7mxmXZTXQlVYFckwZ1wh3hKVJMHXJ3+lYR0YSSjNfnXYyLDEx5d+AvNq/S3vKcZRT7nXyRrj9ARkdlrAm9RhQpfQC9j4hJj9bxP+7f8Og9dLof/ZFCFAOYVyO5nuxOOZ/DBrszedgxBGPTbit3wnaVcf+rnXKdTlajrypz4y532XRLFpHCIds65BpAqG828IgvPu7OJ4yOKAC9iimGhjlFxjrwpimblnmqPMnzFjruuPiSZnpfeY1ae8p4IPQXg0a/pcDr1QhsYzzlKbCO52pRlYhPHj2NVNaz2Lz4HZXqcweYrKzpwAvDmVKhQa3nsfUNMa/Eo+i395nfOS++i92c1+/hUzZtpwhbC20svxOu5Eh0UR9t8trZw/m7bPArnJLptPGmrROdZxvBpk9bfCddqKZjGPsdn2M+Ku/7z3lr+RWQ+XLHkvlZ+F/KGk99B/Ay9PCm3aQTyNqPbfHN8O1gflfHp2VY3/5nSL/U179qEuctm5MdQChRQagunadAlhA98+JmP/6+CGg4I3dc4MzSxQbe9Ml9COZshNkMAsyYh3CYiUwofFjvAouvoXQVBdvDwnn5G0N4x2Rw3BZAMIgkJXPAjoB9KqISbUd53dTpgHDiOWFmKxRqbzO2S+hnTiZYRR7OZ6fggnE7Iy5EdfSxvPPUSr9YkAM9D6HImxlf+u5UcqnHleTG4Rc3AovQuKdndjq1uzJYHFQjn6bfDEsz3FQK/+F1q8NL9UkfjsQwOF8ynHt9KBIRHtTD3YZijTzBVbgQpHA9LmRGesrMC0xFAzqE+wJnGAN8F0HMf8lrz3bCgJAjNmw4KnNcbNFKwGqnSpuii4WZbRaeixUIH1/Hjy64fug8dcyCpJ2AEtURosqHINbPqKd/UZcahlL3pSnMjdyGm+445XEpye+8dWfPDMGBofR1MUesQn8ffcbTPHU871V5Too5I5uNVz3hVtZ1EoS0PHNhvThZfUxS/yq9IHqwCPL2lTeI+GeEoq7k7hb8+PGAiOK7XWhNcXfB1RTPu+HW4eTsOk7RylPmCXNXTNXWUJu7n32Xsu+Ibq3j67rxdXV834ofz0cKO+WdGBFLJOrYpdZ66FxNxn1FvUuEw+qFpk/lfzSjl6Osxho+JsfLRizWcf+mObCxjYP9G6UwKamnOSflX4Bl80XwP6IdQaYoT7rzlnmKwe42PL0QhqfFWes2uYeuJ/apX2g+FnPNxjvrQzKy8lw4/OYIGnIQwVvHh+iOh7iNuSgpHGwV5rJeEqzehm044XlkxfSsGCIceewgTHfOFlhSuH9d3/GaP4ZkYnrN8lwZj6UM8WuXXesJ1lomndiqdSb6FLcsWv3lvbfFKGMOxzofpxTjFWOneQyBFNJqbCQzWnMJWNlNdiHmb7LCzriTjFxU1mmx8Lz6uiP+kIygxOJ5TbQbwDUjwNQ+wvq+DtA84ettuRzHMOtlsnUfPQuZjftl9QVfJNh/pZ9MhgvZQThPVAgc52Q7r9XBsdAjWlMfGXQ+ScwbSnXb+8H+bBg07kdX8DUm3tYMZU59e7Vr37PUTZ2v2q5VSBn3cjRuWQs8jzTfSxh24zMn2u70IvJUHlHkQwjmCS6Cm2lQrZ8/U95T4rkwqZuN04nOY+L5zri70LFdItj808c1mqn1+oY8QTr56r+93rB58AYUn+tekD0GkxqtXpih6GLV2erA67QNVZlJMZ2wUb8jFOZg3wSPK/Y7ubniSHyfeaVpRKxRe3XTNQeKMUZ6ydQzdI5ptR0lPOX+HeZ44mFmsrxZO2TrIkfEpwDKMuiniee1yh42DypjjGJuBJBH8WZ6n12f9DpwqNdfJRlmP4WpbAE96om63/U3f0+gKT1T2GlYDGesX/1i9oVnb/hxX2OztgHikZSWU6o2vtpc79L0ju0X9eoZ2DP+3mSNjHT3obDVvLNvEs9mmGOLlIQObW002gC9zHnoGzwIz10239rOLK/4BgZvvtJu6ttCIvgd4XzwFG8Dm6lmHGZcMj7jUdxifutaiXWX6Tlk3WC10HufY9ltTKcysbldt+MBRfAVrl8b8l29PgD8/YPE/C30vDoOO7i2la1l0jVywbtW4JLTc5d8/jYw7Bx+p/p3skn6XCrXjDu1zlN7ZRNJyLc7uSNsFETv+T3jS10PVdb7lN5XvlH68c5BOObig8ZY9iX6yn36COQaxenvTIsM+5Op4utL/a/K5b4JEb7h/h/Uqb8j/XLE/gXTzqH3NjHi9nI/05J3CvUJ0cXpGC1u1EWd341KMp1hhnxUhMozFQCXBPyLkUuKM3YREl2ysgd++pVOMEZfLdviLPUdkeZYYUI6BP/aKF7CNNrPv5f7BEgIcYd3uhNhqXDCnk6IELlNdmwTMuOuP5/jctp1mxamhCQ8pSxJuK93jlD4O2z6VpQDHhsfH9nAvA1VLS/GjuB8K1w4TBRKb/AqW1uuNPnuXBqjOv6zHclOFtvV7Lv4vMAyTvZA2HAc2QmprcB+fAXZS2GvQgg0xOL7ZDmZ8BshgGSGgtU+6s8hk2wgTLHy/m1ZIuOWffTHDDHO68zvOlSl9ekbF+iOyqREV6GInzWNMNKxQSWGbY6tnHYf8wlVNlQ8ZQqGKlsHTgxIeKuQCJMr+kJzMmmFweX1unO7jGv6uVl/p2chz+qal9dqCFw2hjG+vuOXnKBKNFVV8AOPorxaO22cJhc/QqBWn+e1Hc9pGNX/RjircdhA4i7aqkg3sc0aBstQuJHy8q7n2P3cFKo6Qma54/2hc56LAJkMIcyfGLeBgR+H+ZoPrKhvtmGjquY8rIyyEu/KFusrCsSJs0Vh04kHQQfZJtTjqxkVJv4ksBV2isPXiI+LlnFxwKkwj2UwFcMvXpu8LoC5sxkTZsfV6mA4GpW8v0JleJ6I5kuB+SRvRL289njc65pb+MEGzhi2uWt4ucOn0C6nJSm8MMGXYKBnyRFZ+lLryKchiL7yO5iM4DIbLIziNhQxrSWCL8aQabsAKRIHkGQGd5Zo6e8uVcVyhwuB944TbR3v05r+JEU/ePEyPL5GK4xW5pURxXldRJdYFvAc009gZ3gq7J+dRtdc7ifG6VcqaSH2gNjkOL4enbAf0J6kR73SOUHvy+bVsXzfLMLSn7T9opwU2OK6lUljMV+NiBsCeNht1XGKWNrhZK9S2cI3B4i6bS/x2E21Hxuw6pw4jaX3abOcvMgj5Q95HHe4ELJEo98M245f6vv+c974esQrFwloc0EvdRe6/cooHUVkzR/dqZsjq4zk35F5TJTzO/ueoyFpCjwwNh+6nu4YdEve39DFwm7qlKFc7tzQ7ADeyzT77KyLSsrLjtnIU6P1uB7IVZg8ttxV6zKff2/5Tk4AFjZZ5sA1ibsb+5ei8ebiNiIcyQ00iDm216sA/PtmuR9TbKbyE6+uR7pzyyvajfWnSWUedT3mQYy/CIbsDISDMtplY8Y73uy0tg4E2RySfF9Afrted+29epbW94BZ1HC9j77et+DHc5x8/e/tX3BJD53uu1/4vq8R+aiP629ifSiGXh6bRjU2b7r9QiyCEocernriuNLGVFt610Rt06yEHuniXhOFtg6N9WMb8xXosl5z5hGe3I6gfH1Wx9x4wHA5zaaTjMvdm8XWuJM9d7aywHV3otrm4CS3HXhatQ1E/zSXXewx2MASfL7CrVZHCA65T9BVDKmya2korrRRSSGuF5kX61gucH9CD3w8duNT6qiy9FgnWd7xOp0n75KUOWBYEo+rc+I8rkQo3PHPKv/MSiscuq9jycv9pHXDa0LHO44Gkjd1UtnSr2E3zAPGstIpbe3HB77j9/eufTXiDoARtkZmKrtEsJPVx7sNTKm9Nd/f66Rc5CyfV2sky4QZ9q2dvmw6XNqi7yu90Ggj9Iq/r3v/sPTLEftXTEoCfCGYQVQqIzRHoco4/SkyQiPG7oBCWLZM2RiC2vt0UoEIGPtzqoL+KuzPQmAwCW0YTG8dEs1TbQwmEeVQzHFxOWACs0BpvEZ/xQz4s5yDOvLnRe8Xr49Fbif7milRt5Xz06aamcRR8S+nxi4P/+ZOV2sDQuFU64nWSlCIKSbjHKgMCTvzNEJmWEdi7ULUVQlpEZhlxZU4Mdzc+eptaezKFZAwYzjdnshClY9d7V/5vg1XUfvjgotOWMXGO37rHP8wVJmjVKjN6eQbuHl/jcvVkwDjzkChQS7Mmp1rQotLFENB967Pf1Oojb4D8jBc9VCu1wj7B1MUUpsCyKUWftiUBO/jNZSS+8lzwJyP/4bbv3eMMLIBHMxxJqYQAfLdxtwavrgSxHGWHNeiXw2DczneKxAnDWlN1XVx/4Z8YtzrFYTjTuP5DAXmJ09jvkJm8z5JnL6tqT9kAuHlvu2LOw87IHxRC0C7qSXWHKivKgo8JszCY2wOJlEA94B/hByfWbYCeaURNn68ztJJ5cJ7FoHT89gaUlsH2nx8dYYRVuB+tkHnLCTU9/eYgMfjxuUhoIBhlPnqwwj1oxnuED7fAjTfxToRoPc2Nkqo4Nbx/nFNJhYHXszx+tVGGKkfd0MTxfW40WTeXfvjvqAUlzAcu1dHfwr0xzWm77cOeTbIjzl+O8VFBWPTBtNL4rGBDrsTKzQX2oDbDUX1Dk+eU9h6cDrupzF83pzXXTN/+87z7LQvnLBML5l9KoYzt+zcZsOKGE/WNk+j+on0cKwf+OiibG9OI8woFoPG6QXoF4AnwtEtdwl7PsnKaoDyZe0yjfNo0JwGnadizjPq/NO1AkejyWadeZjfuAuVSQ7jVgyVhHzEPLbe1zo3qa3885WTIOSow+aSxI+p7+NqB02yQqVJk0xKes78l2WbgDNifeVxWmigjLqbn8AxXhT39JZx9Ta3GwEF09mqQ14NpV6MN9g7VxKH7Kir/MZ9tfa3iiq3T3mTfCJEh2Dz0SRFnEntUH+7bYassmFECTkp0gfH/AyLRVF14m5ZCaMZG0YYZ7n8r/R5WgxrTgNU5xUKMAIuG1wrp7c5MtNiiGwrHnkdi55YYTQ+uT0psuTXxFfBfUPGrVgDbxKf0g+DpzE8uTFDr3sfLF9dSbGZhemZDpqb75rerM1o/+BMorLeN0+vjMC8puqz9Ns3Mu7G3/P7mqbfwee83weeMXGPql021ZZmd/V4XYc2xOhqDde59Ifrr3yP4fF+W/QEf1c3QFcZKeiYRzcx2acaj5u9HzxDIZdAb7uGw2GrV/pE5B3EibPB54VgcuSiDnV7YADGptnZKTut52M8TyWy3hfjROUA7msVygxOj6TURjtxX607qwSQq0PteLFeClzDySVdhs7gOrPfrSuIazaC/vAJMYaBhgLedY64YRmCDtGGXtchU10KO606K0/XpwRDpTFkIMIZW97RIo9ToYIZajM5Yif9rvIxp+DnKttoZ1OGWt/NviHz9SKreDo93yYTixY906IO6T0crH88x9U1wHByfrU+Iivd14ik5JGK+ti4wFfBDAesARPO2HHK9bIQxX46W0z3Gxtw/W84+6szVkQtgvZ6IrO1DvRmS85X49BNpQlk7PqOQdJLJo1QwzfMwyB141rYS/zT54XlcV93PCekx5zkTsd3P7lfHamMvsHLvI4dzfW2Ku6wzEcbHmraohBvHOKM/KzyYgG0IGTMG+Vb4Ch1LjwPJS/m2CZ+xzRJ55rsD6qT62OeWeGra11zWxVX0nOdZWJOaR7dfhZ95KYWuqHrGBBJ0zIGM8960MrLus1/X2duL0VGgPNiTXP2KqSwWljwsAOX6BWLn4XXjeNCjTxV+1NO/E79xh8MGs44s9DYQyQWxqkdzlXd+pROuHMqm3SLAst8xxMFWjsS9gPWnVM9rpckfXs8S/aMAmvo1lrm5R0f+k9Ivxyxf8UkWBZdel0FyPqOwoolofyQXhp8IhMS83y5uJkAODE6tr0awVhAPRJSIBSRqujunNc7uGaeFb6dsr3Ut0nJwFuIZFRBRHMwq/3pj1epOsCXPmI+TwxxJ0Aw7Dy3hbge29eZ39sb9Z3HNXq7ExSw+aQ8S71V8NgJad5WOoWzfrKcEs7Y2pYbjmCCQx+76NLpxNhV6Ey2wFzni4XCOqZURBl+Gb/FnZqpz8TImOcf5j5Oq1UjV3zX10yN+2FjJH4X7C1rPqxCZrxngcc3QAi9I4OBcj38zuoIpzk5TMLpw+Gtdn1hONMu70lk5F7vGnaHuqqd6qR+zSrolEVZS3Wn57yXdr+Ow4jGw1x+L0pB7S/hmyimQf8nBZlAdcZfxwmbMO22uSXkMIkdzX7Kehp/zu2rCtAbhO7x8b+rIHqN1g8gQlx56CkOQdVcWbcQyn6nrAJj53UAQf1j2u8nMw/3N+3SW+dL6lDJu19i85kgjIEwQTWcXq58Mv0WWpKMdzs88nVV4FnXRYbTdaaxhm09VHLru8Mrn+M6687vTf8r7Oy43IH2DucTbz/JQwV3Y7yIXlX4EtqecL/yiDdw7kALQ+QuXFOhMdW5kvKUxMr5W7nmJ+hKKlboXKBG8IP9SbRaxwJZkQf4eXViL4VlPTV3kp2WZ4chemvILOlEO+qp4PHwXOYE9wmuj2nWIZ1gC/rwd9b/K81Uw3GLbVxaxpkMIcnIUnk7Mj5kGYVlnBeT+JPzuzshtFT5wdrZbaxI5W3zaG5c174426I1lYxp/r7AnDfy7unLAEtSvT4fq0E7nwRJztUTj8IsnxyyzF/qvL9KO75UZIGdnLNz8KQ6y++Tfp4cRpX3OmwL/s6MywYgYPKwLS2nu/Aq/DrxSCFT5rLn854/69ONEZZVXVbT6XSt1k935KmEfjCHh9Zdxd8aecXr5U027hzlbPU+Uy4b43piZIiwwt6XcAS/Iu4m+7kzKKJP2QaJphgOYGA4s5TqLiACSGtj6FMSMLFTCEKb4sMhq+ZQ3vTfq3zFGBnn4nHBq2Yvu58Onu/8RGyMc23rlZhlfRN33J5g5OoK/XqVjnLHYY1vy/Dp47SGhm74BCDPa+wnu8aG2dtCE9+9Tb1xR6d2snZJImMVC3W8bZiIb+J1Z23qguX3u0QvmfPoVzWlwYifK4BMJwycKLYCP/Km6EiChd8suH6itfZOvF7HHwVesMxJB/6EvJYdlcw0kTc2eMMEgIpFrWibPGnI/fANVhw5AjZB+lQe38n3yrB82v6mD0v9p++ct87HRm5L+TfrZ/LVVaf7qXE55F1sDELfsfmO9zLgaHOF96Tz8FyPwuu8Lw7VN23nRjZjUKKT/LROXNp4SScW+F6z35x5ygeL7+GFaPBqvl+muuHXndWyJy87H8viz/gvTL8csX/BFA4ExXIyNk4TQKeAWo39zmR1ImNdoL7rYMeUK4FLwkAIq5IEhTgl0YkAHQjvOJGiEWYUXSDPHJ98nK6S1L4zgjlOkjA8jIB+EtakiNhlozJDr/lCZVgFc4dZJ7mC+0A7LqvS22zn2u4eHifAY14l2p7haTE/OSRIEQSi7StTJBWkE3FQjDBHYjgT5cb4+L1uSRbEeNAf1pbfTcjjj8y0Uv8w60jJG7JPHosUhlnnnWJcloUAnxtvx/ud5kTmmvDTRHGqBXxfMrdjuOJgOqwR5tvKU5hKFdNfnxgOUe/TQ3BDB17fgF66nJyM+yQ7Rj5FCM7TyUvjpxI4GXMio93Rpp1A5H6x8gaMe2ql5ZBULmz/ceUdzaLzXlOv5m7QG7jaPcL6NEF79PGcd+p2QfvRIN92UtNPO/vgssJk/YhdaZa327puwDQeFEGpjlNS5Ex5jjtLYwfpeCY30L7tPuYvp6WG4OZA9jQMJIzWc1z1FsDrsRC1zcMSF6OOXor+ZYN0AyIC/VILj0x5PcSXh3TuiN2xVUHzU7f65bvc85hE8nWjVF5m3t0JBX0YnGVNsrO7PpNvABfmKeM+6ogIA7efJFW0f7khTXHfDfc9Tlern7C2cRinJ4nWkUHq/tEgl+LxdY/7XE0R+5evJ35/PMe9Qs95hHEq0ICa8t5ax+9fz+S8dYX60Tqu1vG37we+n1eEmuoeStoWvDxl7lgXjDlWwRVRKuzVU+K0e01jwwLGCU7vP/NdzOdx/47TDMdrQTh+g9RQHY577Slx7yzzKcHkf3HvmeGNAvkkKU1H8Dvage0bIFIECau6GsQWhVOBCNP1pQg+GbKM0c7n6L/YfdnqJ8jF7gxWmWs37mJ1gpfbDyMD8xfP4rRH8njC6UzgJq0l7hPVz2spDSXx9jS+MJiJD0JqhjkXE2fMHMuyI59A9TadPxLZd8NBdcDWU7xVcZSuaE/iQQynYvDeOCVcEGkz9svJ8NTvEv3EysoAddDEi8fO5QCTt8zwHMZYpqmBZ96vPBaDV3jjQ57ol0D9NGk5CZ26ac1VGfJoXLE8SYFnucejq9DaS7Bes6/RToWLyFk9qZvyHzbAnZT+MOLapMT6Ex8nn5NZz0K3fKx2joBf6ZgWYwnJxJ48ikWcKojNah65ZuLN9A4hy6Xcxg6OsgOqrqMgIbUOxp1ozk48vGn3pREq8PpAp0B0mGkS8YDYsc9lQs+Q1fjpIfSxzoHDcIRZCJbDO46otJPNBlzUB6bZxM84ukPgha/HyteQ+ZWg0J4NjQlYDjwr6ZdUpkaV2o1BshEc7BeJLlc5plNmA2Lpwm5DOfEWGF8ImoU5ZiIaur8VG7Jg85Ox5kiwkLzdZbluzoMmU08IMCRwFKVPsQE0xpAFF9B82JemUOyYkf2mU4MApmNQrG8MS11PTUfEpcbl28jeMR1oPjD+3Ww4+hjtyW86ZOirtKMYuopibv61etTmR0UoAhINn+O96Yf9MZ8DgH4B/eGyxNq3oAmk2yeCpkA4yhe+bmPqYYcfPvbMkK0qH++AXWa46HfJ8cdx0uv05sq6yFdG5D4va5DmIP3mVMUGktt8nTjtiY3TnrcDP35cELnwvK6hp11X2mh70ybeuObnBAuDTGRcRHG1jstPai9eTILfnLDz7lekTbxX63P9Abi7oKnMGp0GuA3I7RtM/0xmcmgrzQoblnVo0ak4n4Nix3p3cifbVFQwN+1SfZ3gCDSt9J5PbG5oQcAr5R3TsLl06IqjUi/mutJL8fJaAy5L7cYFam6PjQGRPCaSy3FyGSY/pK9ur8Ha55MzinlZ5YVp/Lk9zeVyhWt7u7UevzW3M2VyjU9lWZD7wW1UPYjqinE7TduJPwOLbJLHdB1UIT0vzYHbfDWvidARnbZjA6s9TLbpQ5JlXDd5vX1aWzn2v2KnwwmNwcSVuBQjwbqj1Uec4a46nS5kteqIQs8qr5v53vOsRdemUNOhz2+iaeVKbE7rOP4XpV+O2L9ieoU3dEw9jIeO6HTKBViZ7LauJitTBAqh1z0yO5H6kJhu06u+Wji1alx6mRTDANlhd/uU5tw4zhT2Vd2HHdAv4f5AGF2KVKHLm/biJJuDnq31FOELa5kt6EzQ7aTxsYs7oh71b+5t9XyvxpqYP7ezm/ctXm/mpG4IWLFhUz8zFGK2dTyZ4Yjd96I+ZkURHI5WXe2YEoGtFiGlZJxjUxiwdjO4b4SEJamFLeZGvFwvDbMA6I25wqiYO3a5TaU6zLEk5kREGCL2gtk2EQxVCWbBKZ65IcmdsDJ/J8a8bWsutq2hBuWZ0nPrb4R9ZcO94ZECg2aX03vYhXexMrzTfQpZeXLDmNnonuEEWM6XH1K+jeDEZZZ5SoIfkGw4uz8PHWUOWg5NDaUw2Tt8cHqTjB2Wt6wrPxHrijEry6nrpkx7uCne/dx1vxvayyUkKvPtvFRS3N4XacN3Xxlel987/OC1LSW/592cKlLLw817dXU4kpMFWNZVpZkvU9DZfKowGbdO5SpQybKMbE+JV3SfjFdf8X+3JrnASxltBQc485HqgDrLawUUgnOHrqx8VnrEZU7tvZW7Ko3s67MM8IfPX+Xd1L0o9c7D3/DEk1Mk1eFjsMN/2OY7h+8wH3LAh119n8i5u/nalk90XNKABJ5teGI2VuR3nyjuC4w09pO+fdBRyv+x/P8r/fnk83TS9/j5B+t8a2ytVZ5kjIW2v4R8n0589E19W3oYY4NFJ9iudW6faO/LKAFUz8JP7X1lceA1zONd+dVPpCTe7OTGmozVpsA8O9mklAn46iumMUXO2DbP+X9yvpOOWOCSmm+Xp/Jr4j3xqZjGY4/w4bFOq5wcf9ZxHbRbQe2/XCd1EcLkUUdWz6YZV1xWEs6U61/k6MUgUerjsapgWnm+j3Zpczefoki6A5MjX5dUdtjITA7abOya+iJ90ru0rja8ct8xBncnh8oI1bzToWuHeN69rI/DG2DG5tc5VuFgW3D7wz59QkfqWn1Rd5orrz/+xkPXtxTjnlURuzOZHJ/ko/gIxk9I4nSwwj5nR04nYf17B2JuVjuJZFiPdGn3EITTUz49zo+U6vk3yYZ7ADA3ABINTj93A/kzfPtP8KZj+Z9SON9Uu+N/r3hLhYnBOfHAV6AmeWHlL+nzRVpkkfL8ZblXPOaTROPgvxc5acf7y2GULXybPRKLc3YplD+P9ooqs9ZqOGrEOds5bfSeHW6sz2Rb9h+WfpYW7cp/+Py0TPc0b5/5Z3TCfxBZ+LvSL0fsXzX5em+HO5sSYWUhfawoDysRgvWJwBBDr0peXLjcB+ePXTAvmFLs+iQmuSqfOgzzvHvKhQTbjSIKoOdTsiOP5PqqQO53zSrGfR1+clRtnMTH1DUUGkvlesbnOKGpFqqGdk5V4zvBeGI6vCPETwbMU6FzbJNuQwfEVOiOuq52AnaOV/joXaF62rQbrHzaIRjXnd/tImmm8SenVjgbxXaSKnB9a2wI4HuPRv69EaKeOEn4VfCSxyTt/rY8fuJo7ja1PJuTNjF/zRuaykEIufS54J3PdbcHNp9yA+2HoPtJS3/dBfi2cg67nZr1drgPQrtgkzBIa1nuUUcDhqOrqZ2E1nmi1ftud/SEMywGxOmDI5B9r8KK1afPNg7UqZW1e1mky7gftY/TptP4b3Nxj2ftx+hH8xPXjI8xVl4Wc43w/ZOEi/dFsPKc2Z+D6SdeVTBO2v2mqQwLudm4Q6F0fS3b3ax+6lasf2PeaJ5iPK2/f4yx7l8Gx90GTBfNmxWMO1YrTTDapipxN1MjGuP3u9S0M6otTgzCLb/b9+SE9V3i4x7SOZbhcL9lEpSmQLvmUDdFfzbE3dHmrI87jP1UsfiYINZbwHoLVBu+/3jg2YDH1xPX1fE3PHD7DmkAqoK7jwp+e9z4rfVxv1CXcR35fSUjEyvP7sy9ro7eBffzMXZDPwV4NjupKRM+G0ttRhOvMe9yA2hj3oEyprSueRdyu22cHwi6woo405FpaBsZfIvHoPWFDtAcprn3pmVGd+B1FgYAp09E/31tNDMw9u68WPO6heFF0+Blg4b4eGPugva8PEaKkEtivA3f2jcAbWOddeD6Q3AZrWEFb9B4o/d2ZyzjVboH1sqmDRQEdtx9S7w35q3NMXal3MMQZvkCaZ1tWbBg7gIV460g3ljkIB6z6jxbFFla84pAIcu7kcGcXfTJ6+e6NxpYTqGkdsXucfVnCpLNkO/9oVCqSuMGUL8N/rhvieSdeQcjYr4BzLtceex8LGicfH0sBhGCieWn0Z/Nfak6nifZRTOupPwMc5lbng+/D9cV9Sn/IOZqPNCMw14Xn5Iwms5JaS0sTtgtouZx4g0GA+C5UzvkQsz2vdroYuXNv9I5vdkAGfeV0vzxxlQBpjOG7lrlFMZzzDrqyZnQ3xgMpzEu65MeoMh3hu2c/YvDrLQ/+PCm/xvZbvu+9JOdyBFRqUuMZdJJlOD3h34yEoPm8xrfmvB4zXu/GKbNZq8o2uZflPtk3ZQ2Urmg50h3yG+NnYVGLbRMcr9OZbdXLumkB9Elmc9Dpqk0nMqfbBZb56rx1qVOZBnCf4e47kD66We/Hqrq3ALoPfhAL6eKJp+QiHSQrwKw/D6YRbeVtJGRGTrWcb9AEUx0rkfP68RZRz6xjrDjVHl+7dkcLKzEX+bmyIig1Om+WsXUJZ+C9j3b2hldY00RDt106jWd3K/ricDqD8zILc4Lr5EhdBxB6DixTlQGnZQ53xlAjGgtla4BI4pFiTglpPPM53NekvPcrxLapRhvLot0T/FiyE6wFXhZllm7mJpNtrQCzlZucH5juO9zwA10uxam36Oy+zmE+NbG37gf1iJ9XYYM323F/S6mK6wU2EMbu+7nDtjdJt4miq5zg+9lu/EuGRt6n70BrePuLe62je6qpKhPI7rPhDWc5FXuS0LRHC/X+2MjgcO9oYeOt9XhlHQIzntllgbTq2KuvG6dtJBtDAt+0QEFqbznEMlh1C3zVGwApxENbD6jtNl0UesPekn3VTst1ivDX/mHCub1YwW/p+4026zgbftb5jhFp6nrldbMDj7WSWLDz04ukP33d9cJRr8OtGL7m+SkHe3xCDlJX/cIltBMzw1GtifnTTTzQFBEhQrcX2UMyCxX5atRx1yXAaN/vpBNt4lhrrKKDJ3uHWnfyqvxoxQ+wUF1cf+Yjg95X3PbBEuMa62T4XIn8nISaf5O+MI0yD83PLTm2+scp87/56Zfjti/enLZrBOW1Xu9+BV08aZNwXGWWQxL1B6X2xqUNonzVoP/cu8KEfDarlr/5NYjMYoiRGiTAOvwBmySlC43Hrri5zL1BAALo1vbpldFoFngjrGbfVKAFGfJjLYyKRYifCjJuTYEMZnwet+TcTDDNdrUEOTq/H4kyFXBZBkkLON33BFe4Etzy3UR0Y+7kEGD6uUr0+amJPc1CRMaAdAyXhySmIDJYxOOMBrL6SR3Rj8RdJElXfHkuSxzpMVZEHe88s6pYzgq5OecWODlfhLM6g42tTpuMacbIN8SSrDjXVoXjot2YtaViCTkADnkidGLMBI7Hlg4VnUD/Ao2rdFyl2tDhBIO40Zd79Y/XrPeD+lTaE/rzsfE2vRhFsMLeYr1R+1U4vjdMZ4JZGwg8TXmeMX0q9mECN21xPTrBd1cFPBSPPEHrHk9PzDnxMM9R5KJ8zPUON31dHk/JePTBfPkSQ7V7ADFWBNh0RHSWJqitzaGRUbUWmDuVr57sztfOy5RdPMYeqhiRg5X/Mfp2lnPNNDZQjd8TsKxzk+9BvL7SflQ3jCXaKxvWk4xYjwUPC+F7vrzUd1mggk3Eo/e0OdEs21thvPSqy68kWlVKOYO1z0eMM8I3knABMgeiq+sq22qfNc2eogZDDgkcVI6yrBwCCU2UkSEA2QY6rAtG0gI/NSezjaYB61K64b3AWnsIviQzDKev86TFIWHjS5T2dlEsihwVQIrRMurYaHKfCkkc5J7FPKkvtr7FA4UNC8AEo+jPodzV3XSLs1lw9BC48TO2mQ75u8g/Ch583isTqVpYJjIkObfs/uC9LlDbmOntEe1S19czpgbOWO5sVMldYAaqOOLbETZiQ5K8zP7N+l09IfwielKUtrt/VGm/pX+VDpuJgTpQsCy1nMdZT3GC8y59aRrvmXt+CaCwxy/Mgp+nHawBTyVsO2Qm2jutpL6aUxwovKkRWVMln4Lr6V9cyfY3+kru/lY0ma+sJvvXTnN85vgqd9/dloN9kR/NL/fGXgTiC9OJL8cuy2fxsLrA0bWDYBhDGedxutxeuoMCfPqnHi+g6vKRcRbKt+Cbvomc5LmiVurw+8qLW3wBkU9PE8N7+CW2Y5f9RHt2vehW8nchEd9qk1UA/n2JJWPIcsS/lyRNzHEp6bfWzkkAMg8LpLriHWeMGjJvF5hdmbhrTSWEhFOdMLwdsFTPT7nHxqnqzx0kj8CzA2uvrIZfgqEJhlC7BojgUqPq2Kiiein/671vVhTm3SKjFSTIIcnTk0qwec477AuA7avv/LMHS1SYMtL+HvSb2QWYF0iN+BkSQwHqR1fH5rnX2sVWmQ4Ig+v0DfIJ9HG2Vcirrv5LGs81g2n09QeYEpyiOzH+6fkVHnd/5RezOvbNuv47OQNqucob71YNzt9aOFDL+BdnJkv+F7WZ1/xc9JpA99lu5a2Pf576NYp/Qna+9LR+A9M2zl8kxbb1zGjYHHELgDQZ+XVpyKfjME/gTP2lyP2L5589xqf9IxPxXZnjdwmRBoCtqeSgEmXHnsdmIrDjtnzPT8ODxtVPSUhlQSwkInsRIc2oZNemk/DberKSjvnKcIDiDB72T5PZPp9uj4WbrhbEgtxUY91ipinwIj65vSZlw8HHYbwCDPWpX561X4q9ZEFppkZK7FzouVz4Q4uwXBscFYTpPIYGiNqIecuBmk2nLniuShG5VQrwzqdlI7DJvy5AiYYDh2qV+j0sZ9sWe8o0pDPTo64StCTQOj9SSfFDEbfkVwTrb8YNw/hUoRN6YJ2a7pbw9t1fARoDXsdZMyvz+X2CaJ6YCdr+nDidZgC2DMCKDrUL39cuLukjzSY93SiiWA6Ye8BgDwF7Q+J072BHzruoxQ/Weknlfxk3xPz9DTtQGQjVAKTd6QLkgKNHZ93RYEVV/upPpZer8p02nRZcZlxxedZqY5dssUlXJ/TXndS+8m4b4Hetg5+LxKs3xXrsPRVmJz5ZaHLdYrR57g7LO4w7cByCnfuCLfvD3KAx2nlkVl8LJ+5z9owT2h7+m7Qp0KebWxmuHScVHM66bBg9Dnu0onOjPraV4e0AfCwf6rd06OoS/jHM4tEI9iDrXk3TImW07QNd294Phue39dwHPucsPBYeHNyMHJiGlFoOp9mXk6hCOb93T2Pu6Lgg5SNB8jvAJvPCwn3fQ11ovvJgVN4QqwHO/UjvrnbnZs3AIy7kOO+5lhLTlcKrIIYWzfG6UNnu+mP1q3McWi+LulZrF86Kbnl3ZWW74bwxtzVzfSKT2zWHdGOLjqjASSaF6Rdcl3BEwlVnCbB1+bcvHPCOX++P/E7Czl+hXPE54vu6p5tHRThKtdQ3sCNIiDyZg6PqHE0/plil52sROeJd3Bf47eFDmcDQBoPRWlbZz1pIhyfFUnhI3LNzmJuK3C24D7jUOrD5kTr5P+2prmtcLhpypvkMq9bZ76UlK4G2b3e0RjVGbKZ+hX5eR6pjgRDGZd/tNHhf8nEu/mr/EKfYvIQ3/PFVz8sshangudK87SNbOPNLhs1KM9pAwgyfWED3KSNHiFp1C3NNrKB68A+VdoCzBPbcdenDjlXkDYCSmkDZW3xepn8DkE/j6yl4PlRt/T3tpk4tYHNvBFdrDJ+6I2OB0zzC52KzTOY75MuYvKk89zVsXTos07axX0bzUgeXu7DZryr7D7putHwmJg9bqSTsjuYt2WIrEXnfbysLX9lc9SeJu9+w+Tf+Sci4RBVaDrhFdeQ8EnYDTwAYkOjlOeqahGUAPjGyDiOV/qpmHfCFkKst+uTmAMQf3MBaGyAatNxqwaf90VHRCX5Hk7YiFTisFsUothoR+srQVV46JbHEu7HuBvMruskHbNp3gjshbm/1p/kcOqScDPwwPo37VKIjYRpmH2oSOcVwTitSDQ74OHCWupwVLQ2IUBXRXOCxOvZykcZINcJyk/NK7WzrBPm5+z4ZvtJx8AVix42xrzNq2sAtN9uoAH33dBvjM20Lu/TREckIP90OvNsIyKTCSm+4VZE8bju0PmAfE2N64V3b+n6G2+xEzNsorgxNgArDNbeRt/UcN6jiNm66Q81HsqOWx0Rz3ayIg40tsy7P2ObUzz2dVAFWhP6pnxtAGzkt+ANV5YBlHGqwLzQcX/eEZuVuS9RhmAeaylfZxPF4l52sb4TbVNM3T0JmfbuHtHA4mqtGDurCwi7MuZQLXyd1wDP0bSHlnE58PrYPLqZ41fygcPFPPotLxMgOeV18uH0u9CnoBVM++BtbxhmohuaNuoGHG2+X+Cz58drHryZjY9gPJ+wJ/kVw366yNCRV9Jv7kslv8smHMKPxSYHJNrL4yabDuzowC4PP9+ZfJdnlk/9sAfrvS9gCDtBvKy/3x+s283TUmbnO0nv13b/Q0M6f5h+OWL/qskJgSu+7rRhZVeN+kWIGQsF68T5csOXh5CzSskZmU4AFqEqDDjXUPTaPRhQ3CuLmafuNOG9wyqIE3DSFfdvMkOkYIYaFuNyAYdZ0V2xXh0Ps8+RdBBTN+KNUHQK/WqTKFs5Jza7i5/DQclEFYjTezsCVlNiuEbT2kYwCUXtHs6/5GDyPhVinxuyPqvMk4a1DgH1vdA8gjExIB+LYhBeGJTBt3OUzvqLwON9sTF2B0ModN6vG4HTi9CheS4WxlCepfZpXNzo7JsUfL0A41meb+pg986VMXHY+hQs5wk4Y6ttrBGIhbaN3bObXbQOah8CoooA5gxzx/o8veWKgwwFH5j4dIl5nmRlWGnx0zNXlCf4U4BVU5ifgvYjS6GBr08s4UEdX9oT4fBOvJKFMC9iuBChHQVTWa5wWxsQDEdVFaq8glvTeLenbEP6ZkDMyeN0mOd+p+TQmkzhgzrNHRCnZfUB6G92KjDGUsJQwWOb6K3VJdivE+9DCOfkJBoGA3tuuMq02wWz/tvA1RHKa4btGkaKceeRPgc9bf8uCx1K86Sjv4BAfgja00J5f1Wh22i/jXnc9+uaKRTX1dGuPhRyw9XH1dMOZTf+/PuPL3QVPFrH4+rxjncy1zDFXQX33XA/L+iPlk6A8zxM/KZ5qvT+xC84n+Mu8R7Hd70wwsnz/AkVuydAC92eoI3km0humzvCZTc6NTMSeltJCebNWzY3wVvCSDhhXAxHRhu7h+Dm535KOpUnA6QivrsBKxmAmF/z6RRzOu741cLTN3wu+u7f2blMvHDQiZEpwsdSPaF40vOgCwZ3vzJeedSLMALU0EwyjLsTfwrzi7k1eO45Du6YZLmuyoPh6NydnuVmQracY+zGbT5VlsIXE7w7RT/GAET33OlYDDdbYxWt1TC4kHxS+ymKGZ+ujMVWprB89b34v0Kzk3GFxjzo+Fae8PpJJiH53hv05yHLFHluZ2CINg7jt/s+jcVznCJP4Tm5QipD5WKMihFgkVd/pZ9Oad7iIb233YJzDc7MJ3w/rgNk2WRXJuj0S5jXDByy7tiur9vqLI1KXrVJYBkdjZC5Rr/ghvJ3SFk3Z2Cur906c/jXh/uxrHWwPlXlQv9eQ70HnabyqGPgdXr+wgtP8i/Dn9oEMk16gwenPlfD9I5vTxls0qY0d5U2cls7A/guBZ7k6sbjfNI8uutw3Qpp42qZfs82XY5Tu1N29PuwoE7j5+yN5yhYHtHXupa4PrV8Ngha37leEh2fyJRQ3+qJU7Ce2CFislx7kh2DYArZb2cL8CQF/4vMORwqhENAXIXh7+DPvHxT06HnXGTdmWCkNST1d/SjwGT4ERsK/bWMdxN5DMGEosZw+4zTFScaJj1Srxum7xGOEWwf0WjWQ2g8HFxOynD6n8+F5r/YpHnTe98Q49G/jA6r2Sh2G7HzgBoc3WwwhItiumLc8Uqpq0T4Yb4f1vNzPm4a3h0V9N7GyV3P08tGXsyx0Bsz7G1NB/6Q1+zMN2Xl+Rs4z83WvuhlTedOdM7bJgKn9D0cs6XexGc3v0vTezQkWqYo83wqqMCMfpY3SgvRIQ7BHP1j3lf5IAOs5Tf38cRLeIx2sNty39k4X+kmKnON+npOOkfNW3EHRp/K4kpRkNKLCbfrqIstdjMns4zphGy7qLCK96PIVjvZsOA906BlLhwG3tALa4fn/E1iOWRr66e2HKbFVrQbt21jk49/nBhHd+UFCP0Rb+ovehpXEekD+E54Pde1pPdpTA5j8NJn8p+cfjli/4qJFrw2QSXui5JbiNVKjDeE1BmfAOGMfbHgA/mbbBcN3TK0Jobd72f1Ey/srMMwiBu7R4RDW4DBlhBX5dCZyiR02XAZp1w3dZyMTyELY08kdqk6bGJOS5s81zvBZCvQeBU2j9pkytr3vnycMPXxYTgY967cXmprA48r68qZo20KnegOdpl/a/x/qruM3ytcny9y3oRHG2Elh7MxhNk4j72u5Q42mb/dMaE6vy+7lp/G5Pyx74zcOGHDYaC5475xgduHgE6wxuIcddxiQgXVc9pVa4p0rQeKvIvZ7w0B9ZWFXM2CRu4YkmGIZel0d57Qeqh0zwvQZ4K5lvHfgedGbaiueuqV5znNoxJsMsfBE4NQBXLxOYKuBqwbiF2xTvsFMTfDT0HCoWIaDgzvmAYu9yo22kMgGEpfOSjtwrrPgV6Ie2377xr318bdLWKnUc0wk04qc9v3bETpbt/TPaZJ+A3YMtGJUMJ2ZxAAPO+Gq40dzp7q7mbANrmGEm7Dbwrz05Tn3hvu5/juBGuUIeLCSjiPP0oSpLlhHFbOc0g+f7E2QHVQpq2yxeus4GYYmZzWEB4IfSbYd0lnOf8tN8YJaVFypEvAKT3vak4GCu+H7RTf8RtPfjds+xa0b8zNOzvaU+tx3OUx2fDo7XulZao0ZnHRlGU7zZdXSfx4qyQyrhjtTA7GpT5d50roOW/qo0gQAQvDSp+8ez4cNzR2a8jbWd4dr74JL9PFzcBUfKqnS41eM54ynp+U2ViyPo6OgVxPZN7vug943iiasXYEic9s5WiZ7TF9GPBa3wmPIsrMgi8mj++c6zs68ILm8Hs2sn2atgaojZOKZbXTvUS/0p9LTuMyzpU7Yx2foozMNZTmf8wd1/d2nt6853Ub6FlOngPYO2CZNrzaIHLYQLKcrAhDnLzG9d27sqZZL46lRvQqvcBmHHfdYbmM6e8LOPl0iV8Jkea1YW4CEqT76Cv/SFf9uIy5gTFkmirHMWj0rvX3J1y8P6Mva11/ml74lOtaD/PYd4bVibvv22Fjdqwju8pBLqQTZWqnQeNexJ2QwDIl6V9JBvD5dnkKGjxCHlZ3ezOQO2ZK/HgpG3rLiPoDRTjP4Jtan3Y68Il0fY23J4qIrNTsyokqg6Ux4L7W0/i+eS50lyxPxG/rS5IpRKGPXB8IzqQL8xA4bO5IJtISo9lzOaYRYgpbnNzVgSt+xc1caxkRtSniTmHrl7jTWc0R6e1S+1s4HBcdaJYNme6RDYPHLmwmHlnJTxkTrRg6osTGa9QIB4JxChvd7hlmocHwaYe6ShX0QZV7b2jo6H1cadNF8X0fdvhYYketquDWvImXoyupzg0YvQv63SKa0iJX03enxWiO5xSdrc6PzHH192F3sa4w3Qo5s+0GCSnTXoc0jmaOYp/6yMtOP4avrk+mTT6gzQ4aNKA1xxGkCF1zGjP8onnzeuiLDMypy74J3aJ4tZuu1yJ6kuj/hrbumqs6pYOuWrrAa6vUF2Wo7gUPCv/ZpkIX38lkYS/e+A6iPMErNB6v7ANbPS/QW9ZO8Lrw7GSnCB5aoiBE8SCim9DvVK7Oh9fDUZNqlETe4FXHc3nm9LfOu3/GuGbd75WTMWzXL/Jsf0sZBz09/+AkKzZjuhERXr1/++7FydzU98IS/lnSL0fsXzCNHSGT8frR/a2RiYn3IkxKFpj8te3wPRmFVoC4zrV9b3Lu6BfrBxFlFwycWN8ZqOn0sxOyRShl4h+nZzcpiGbsjvFx1OHsgqI/2hhTu0hw5+yOsEg1tiURTh+TXhwdiYEWB2MS8qktDpkcDgsSsIbBGutJGh9/q1cvRTcDre52K5rgk074KpIDhA2Uow/z3progyvuN8Hn4xWMuTLw8dtPCIWgRcIYO+3EcZ8YPY/tCWdPeOPlj2G7+Hc69Z0FIFGHXdK66BHq02DvgN956OG6HM981++WOVdw/IQYUGiAoJlyGkpO13EQoFEISh/bG5DwuCGcb2mwuH5RyKVjLBSAhZCN3ZzuYKEQv+17OnOCPlidCzPenS6n02simIonkBVO75flSYLXpdDfBsLKUzJtdLh8HRINC3p12+lYm0MVTGcp4WYS1nqpn/oa99vymvdQsH5HrN+z6jC78kI0PZRud4ArxjyIol9DOeqi4egQUmgZpn4hhy3X4WRl5YJh1jbCJvWvYYTo/3oDFipWmk456BbgvqBQ9N/KOOjEk2Zj2n8nvHVh2O+F8nWBPAY7g09/CrQ1PH67cdnJ2O/7gmqPncweaqq1DlHB1eZp2ash7W5+3g/cKvj+vvB8XiOE2y3DAMAhby8iiorhmPVTmoQrE08m381jQ+vau080utdd/U1XGkY4PDpKtDXgtWVfQr4FfqudODVcUwGuW6Jt5kEse3j9vn55Tn1DRfth+PgYuAH1ful+o4pVHHdh27j7CQUfz9g002W08RRcPxBhz18K47R+/ZRFup+VaA9feTD5I2Iueak6+Fqk7whjzyd0HQSePzqxUVO6eoHlqNjcJGDlMfAorTHMd8QT2fjAYbHZcbvdqbwZ46P8JM43NY9/DFL+/Ypnx/hT/wRAtzabR4KR3B9OMacwmVKAUGy5D3RScDGWiBu9HS8FrBz6tQ/TCJZIQsClLne4Aa7QCTaseZn2zLJjnpcR+jLm9kbCq8Bdpi2FT/s7luvny3XikxGcYHc+n+ouiBPXr/AJ36h4aepXepVerM2UjeeQeC+AeVckaP1gzuOnBo8k13niMrZe6hUd3uDkNRkJ/OS8r92B57LgZYLzAzyK9ii/bx5OoXs3iddm8F3jV+yQTTIot903z0jm1MR/iA9Yvcf+8bo3RzPfFey0X2GiAMsOdX4Jt5KMz+9dNvC6CO5aX/BEBTya1ZISvmza5NeFpqWQ1iRjpbowx35rkKXylT6+yn+Ey/kWweG6x/AKaYRsDaepDJopxFMDp72+6oD1tlxPdxuDV2CO34hm0vwULlARUf1ZnQv+LvMkLLPDwZjFnGeYcvK3DNntGzPCicPrDljnhR4q9J4Om7qJtVHUJIcpOWJlRmBJumVJybhf+qgPl63shY87y5s7fDU62HwTrg8QbZhPdJWe+QnR/qXjFKvRIvF+uFPZZSsbbwBwx71YZL3p4FfwBvRlrR/wvOJxzbMsAVv7emHYJR50TcmDBSnMebYrTYbeYuN16ejnU6C9zQ3hTYc+q5g8jFPtUxvrq98yALoH1RPRcUJdxqbccKZax90Je9nzOAFrn+PZDKTC/uN+20be3bU2NTW/DsLnD4HnIUP6XDXiGbTueexR52vDd2J4mLdvNo4OMjQd+c4zhPkit+fPFcvaqFG5xDaRh23tGpmjri7D3sB94/ogE9cdD2LczA5HeBbVmP7peCdPhF3tJT2vhyYYHay/Wd7NY7TUBZrfxL/mJ9e91R8ZFuZtLBPp/tDVIsc5jTiMQVLhCMYxbpp/M5/0uWb7NulnS0Ql5Dyh65U6ZvdK/wTgiJ0Bt9Af1r5oGr+yZjZrbD9+57UW9XqbZcy2vITbf1HvEU4QPOWUKeA2GUnPVuMG1XfQeVkIqPXs2s8wrx2uY7sb1zznLw7y/RekX47Y/0XSbjFX5lpD9L5aqNv46pVBsPHJ31NeRV5LdSHU0GK+2+V08uEYbmaTcki+udP5tOuZ+7HcDyccSPmQdsyTiOiikNWh3TDYI4HeEOBPaG60cyCcJyUhHB46GZuHSB59HHO5DZn7M8xAsOLcJ8VZOOSm3zC5XT0sEByFEZeRg2Hs4QijyLHB/J15VRKkqlKzMPRzI8lZJbOPAMjgL2GwXsJbMa6omENejZHR+lYJJ1QKCVp3D9IptCRQ7HCH34cwM51VVXAVxTx1CbxUpLepzluZi63Ryd7rjjad5m1DJ1Dl2ZI3GU+0yCInYUJlzj806CsrUGxUjM0AFTaUtcHrlXalRniuhuGgN4V/jE+ZiAYKl73pL7DSExZc69jWefYFamG11GC477G7ubWOWySFi3LFuIYr9u/dPm8Vu9PHEEUxPxmmGMOZz20gCbejnC9MrOkg5E+hteR5Nz6Huo0cDANOLWPzze0uNM4d9Dx3tCZjLdGO1XCWNQxl2pyHYXSsCgJ3vhB5xzVux0MTCz/f0Bp+dhLQlxD6snm+g9Xzv/mdcL7KFNTeR/B5HfyTdu/OZ+d1f0yv3h9g3ir9/oo2z70Ka5xkBMLH5SRsqhuJ/72S/9Znzm801mxVKLOh/X30mArbJ2N9VPIDjlP9kmlDwR+OjvBpqkaMqWcEAf2sIsLvl+O1WVsnvvEr/WSitbngGJM61qFcT+tIAoISboVBEETOyhyt9Dy3mfUlKesOyDSMNqAAR3yoMv6nKZ0O5n5i/uYoH+d6Ciz0LE55Q5Z3tQ52WrJ+dkwGt5fbjn35PSPqSJL9WMZOcsyuWYdtI0v4+3cp6i55ky5feSW1n4pqGXeifYuxmmGt6+NF4voT7Cy/LoVyNw7dWeRG5TWmMFqpWbYk+TJtCKX6eAyiXR1yYGwuNCddDZqEmzYgHOZqrItXi1IzL/INvX4ilp2wrj/ahr9wxNb3G51MjW6xbWyZExLrd2tZvS9HeXTW7bpB6L1+J2/lW3y6judm0/hyyIDlX3Z8dcTYQmVsHNQd3AA79bhtBcyZ59eDzeo+paGhlwMr7gvQH/b5paFPDqesziupPBJLL5W4Yw1Ol2Tq4oY/gVe7tDUaDXjEJoTFD3fCRihir8b0wk9SV1gI7nmtjarkE7wLnNQH3cD9JiWHTq0XKLweWxw5vi9yQ/BYu84EghTSetF7iRcsvWK6yPNQNo8eU+qX08X92FUn7LRLScB8dJAXept1Au9AbW8HA2WvY6wln/PyAkcqUx8TioVdDYWX1np2sP7E2k/5aWxYF9ea/9DONmoU9YPfvcUNYEG4ZE85pJe075NxOYztaUnv5ObKH97R45+h17OQrvDtdLsdr698tercb6JEvYLnZZafI4v/NOmXI/avmtIilHSCSWL38GQgVQFxg9TWwehCrO94NoaXHHJJmbETkXYCkIlZD63VPoY12xj03PmX+EeXxGjkBq7vjVTtuxrwCSEiLq+IEFtqnYr2OuIkbBYcdDkZy7Hqt6GfXOYtMeVTODgQ3OY0GGO5qS9gmeVYsc6MlbpQxqXdJvDS3b7gky0uUMg8neqnEPpj3lGrj5GvPcc4tuc8qZBOsG664eMnXWP3av8qBkwS1nY7sFUwtxdC0wlShyEcp4yv9BmyF+8oJOEvjSWdBkqnT1jgCUeFdZz+Yh2yk6MDDTJOKvIOXlM+9aHTaWXl225XJwtqLAiaoMahfqKvT0n9bD8k7pnUh+EC7+oF7CSw2ulTg/nRY/dyKM4KOw2L6Qzx3cq2q/CkMAfsfeIdz9fYiWqwlJOb7R7LqF8AvubYM30QBfDkBUhCW70z1oVwv6PXYHa8dqdTe87sY5zGu7l794VgqDYeAtTQenHC3ZT5rgpcdsLD+8OnMP10hZ+Qflgod7ubVR+W9R67R0UBkezYjvBYfgrCx4eEfsdhvXSEJPbT3hcgv91oX4PyS+vj7tR7FFAZO/bVeQDfZ0o4Cwx8hI1xCo17zdMx0U+fN6LZbklxI8Dz+4I8G6QNR2x/dFwyT75yOGJXloH5eZvy/OPHY4SR0qH0a5/KPt8Nm+aRHIIc6mu8k4V25cLzXYpWwLjmeSKsWC5f78mMcbK8qUxbDyj5j2539PJmB9qvxNeFzVDAgcMIQ1n7YXDZZolh8Bt5rlti7YzT1hiySOKh/pnXcRjn2HD3nL+XcaExFePzAWs5kRJrk+pIpxzq3PF8Eu86yilEJyJagbfH8JR22NEYBkkznPUHMycbix2foH4x/w+HCkUo8TEbeTXKnU5h+zu/z51TyGFNxqn9G2g/7F7w4LGS6o8d8ZuxqP0YMoLTqkHA2lODj/M9u0m2oGgRx/BSHK45Pdflio4MX0EA5tUsp9D8sHGLZbokfxTZBjjwHKq37QyznLXINwGn989gDtlvI2slxwTxk2UdlDDJ/izm6J56RjfjcJXnfqU3aRcFqcjcsW6CBhQagqk3ytPLa9SthqdostjIokkteLCbP5cR/CeHX1TSXF2ORL0TW4Dm0WbYaWc9cEZfm00nATR9j3ddRx8vAUeo4k0iAWtUsOkj5pqYReL8/aHArEtJXwjdocgRaR2SrMDwbTc5Rx3mhHlaG6RDcP2Y2TOM9XuVRXbtWh3bzb1cvPD/KkOG7FT43NwMup6ulx3SFj4effqQ7sT8dptb5W4ywcbAT9Z3GW6XH935aDp8yLCKja1jACA3yRNcn06dcnHU9bEEtQ1bjohCbxmnJ0M+UGgdRA5tylMkmJ2yKDRjbgZv9nDELke3H0LRSEAnYscpWYBOp8HfzUgriyzg8HCECIsuFht3+Q9cTmefuS5OLnsCox8GD/rhRKyTi9C3ZMp7yYjD5VZCkiKUdMTp0vFs4NN9jRN/6kjAsHoSoz4GhpDMlZ75Gqn0TZfqJty0rr1OvWBX2Qzdoj8wT7YKxulPJbvCHxJhp0e1Eo34dT4CDGA9qliTodcTnFF/ByJsrdhLr68h3fEaxUXDEetz9LyvOO16tY5uuiJHUnJHbe8Nt47Qx89nQ78b7h8tTsOC5Xydf7sT7dvEsiN3u5bxtc02IUXg+bbejexW0ZQjHrnMFtEejP+0b6Qojj70jt4hUnCbfX5O+kdigiJC+rI+zPDH9TVdcie4j0QvE694jghzC69kumwy6cJTWKE+yQFqQ6yI6D3J2VptoFSf27fWiD65yWp7TDZjl5FK3TtcY70v8UPM/Hv8m3zKP8Nhb/V+euCKefjuCpyqPwbcDOsnqcoU/Kj2r0YTqfCC5qSiH8/FDj1ZtoWmvEsdMRcaZZ1Xb+H2Psmcz2WNb9pL9y9zfbWPjFOnJFT3IbpS1SkTfLtyVPbts//C9MsR+xdPu5OrcbrgJBRhEv0lcR7b8ay2G7nuJPqovs2CSU4VRV48rxbIh4v5U+Vord/u6+HwgyABYHdK+ARnBSvLAytB+YAwVMK8kW1T3pe7Q5iZE7FciC87Fk145RNwcKGhWx5SCMcXHOeDwwqf0qJAFSE1mNqBuW6V5r+HBlM8spORsk7IcR4KA41TYQa3OzZYqNkZzlOVu3kXkOQzYXRhN9XnoXxO82fCrEKH1mEh2aAyw0mRwsCnX7enYTtWHAghrS6akqeMTYDciaRUYXEZMP5eAIkTdC68z3nZ4q2N6Wm+X+F6hFHhflb6Sv2NMGCeaSdrMH5WXE0Cvg1eeJc38oxs6qM2lHHMs1Si5+WijxvKtVunNIegfqc1IRQyLYRAc/hSHWplR3h2u8NHJSncHbo4YbspzqrITli1zscfwZyY3aYfKLjEa7KOwQknaDzf4ze2Q87OQlaGXalNuHWixVR1REoQWJi08aL2OxRs74s6H7Fnrni2PJSQDFIdn3p6wjd2bfVuoeHY0djNOKX8pf2XPDdVtoH9BQwnGunFT3O/Vfr+JP+rTq9XJ1d/JnoJgGXj2bJJMNGxORHb/n0yB6/Gt/Jl3XxHxoft8wPPOSmTL9PP5P1HlNuV3chy1eHzaZ+SfBiV7RjPT9T1K71OcWr8pZvv59Opqp88Hc7pHzmnEcp7w0NxcMZO/WITQWkj5/HJ+d3dtUu7tTmXXwPGz8Zu0Qlf5Xfe8hqUnB9eRpMcjARrrn8CN58r0eoavn4xLKPw+3j2ASKVOj5NC+3ayEmeL+X52fSqD4c2eeym3uMI6vM5Myy6t+tiDPObfiTjrH0ZOGo4TvlUESc950NmghOe6TSRmc/f+2Y5b9ickgLQpl3SK/n5rl/IzwWYV2NUnCXZJg3NTlZmPeiUduNLba32n11jb+r1lPDWF9m8diHVHw6UTKNU5l3VbEmP8mbvEUVEMqqy884ekmw39ZMcdiq24fKhtqlW5zirXUXmGwzK5rKEYgQH64ena7i2yedGMZyplHGcZB364M5Jm+DavPdTsL2PiEq9W1Sm3WlY1mkYPwrO7mDnOhRYacIhvaSZNL+8fKv+l9aHo1n89oWWZXvPI/R7oVdCn1bVoAd8mj4YN+G61e20pq5NKe1g4o7Tp6A5O3sVD9FmXqrelMaDQalr5FU68LmTk+80r2mtwHgsz+07MD7kgSd72Rzv17b1cGK2/HupkkMS795v2kj8lfD7VF528uI/KFU98uX47mB8JV7U+ioPKiz8VO/P6HkZgBW+qj+OL+8rz36BPwPMP1f65Yj9C6d5glHXBcjCbw0bY8/HXXWz7CAwhavqeN4wjNoqoJ3Jk6nyPXWJGVVhAlQep4VoRKNjnMTQySA8NdVJEH03socvWRihLvDkXTKjrLhjSQG+3zPy3QOeuEdFdbk3KU5HpHHK8LR7jmNUz2GeaRzn95VRuQBKcnN+j41wTLC074w3ogiDRff7H6382F0k4w7IB72j9nnneRWMS1QvtFunccQejvvMME7q+uMYSyRjurJx3gTmuvsNmEw2lAbC65BrHdf6PPXMeDnuTFT4KW74OMUu2hz6uhog+kNSONjExAyW9j3ydLH7P+6xI++6JTNKsTtsfNx1njqNNeYnqgiBVJBO26bPgjvyFLuHVNF/GziS7r3RIdRq9w5KFlCVTv75SVjbSZh2FDabprTbWaMfbLhZDPVOG2y8+4XhsCGF0U/4+pjioenE6RgTjTmIvpPS7+MkAIXCyiG+oi4eRzpROhukNYYMa8xnPR3KsFoed3Q3GL7SCW3H7/5bnw6pTTidEMD9lY7xlC7zBBmPexVQub/WJ3laCOC/XbifDXfTcWfL5u5U8XtwfG3TrshAoy9MRCCvhyji9KCf6kYf898fNA0+r89mIZMHPJ7uu+Hf/+fvkNbx9XWjNUXvYyfzdXU82py8ruNO2H433M8GvSUMRdNAKdHmPKVM9IBOtk/8mTwicIPpnJftGb08r4BsYA12UkxCGdGHBn2raTeXivldFDk6BK2TZPyS/Ds5yD1PI15FjCBtQEAuJzLuNYZo3B0mSnhJsMa4sLJc4aC248TJaWMI8xnnPTY3i9LmP0vfeM29Umx2PLp9E5wg/kX1LkZGmo/O8gv3sxNtdfQtp/AXowRFJdgqoWK4SKdbQy4FoMlxKgnOxD/Vfl85fz3NLbdFQWkI2S+1LTSm3neZ8IQ8U9dZxSVfk7FWeULnhPSHrHPi2cp4MW4JP3MYML/HcivySJTl9Uflk1FaayEYfqx9XWT2TZqGEDP902n3nHHubB+nTWTKIL6WBHFiO067hsfA+qOK67u0YU4qqfP3K71N8z7OvEYTPUoFgK3TlmmczHx+bQRsrnVnfeFq/KTIRr6QV4jop1rV+1SJcYZt0Drbv+91p9OuM0/qoxJ9AiadMjoTjijri15zbVSdtcK3xVklWHbvC2+phjv+9HwsO8dGpw3PWcbOfwbPsy+6vs881PU4op9CtLnlcqC7ulmWCBnVYVr6nvlL8DSm/5Tfv39qPF5Qdzsm+Xsqvnt2kFu4bpa5t44/70PfzKfrJrvxqjJgyDpCa2WskdDzBFOv9nn0OQl5ZwKnHkUt+mPveJOkj5sAEIV+NzqFJjO6EulQzaIrxUZfuF6OZTNvlUPT+Opcp4ux3u+PrXzTKnN5etQjx3n3bide77JEwFyvNNhUsYGd63N+qjWv1Q+bOzVbzog8Np+7Y8qvk1HlZ9aGC5dd0JvGaWzXgyNM+Y52bHDQ6YKfhh0RlSxS07/cwJfpaLQ5WO2uV4WiP0Ykp7SOy3gqO2Kcntyz36NLMt/vkgr0HtfRiIwTsx5C+GodV+spFLHIsJGm+2LpfVfB8x4nYZ/PC89ng5ozVuMk7IQpwtQTXwsZ3n8nmk3IyGPjdITHqs6PFzM88HniFNNoOAebnqjfh5p/S8EjqihFfwuctTqLwz+6Zzq+dgNBAPkGWpeI4qaXybYNg9/zSVRvC5j4tZxuJduV2U/aE3ECPyK8Fb3xpOsta9jHaW12jgulHQ07yQU+H4kuFV66gzEBVtpeyaDhJfGeSusWHFNkPYjGjU/gHq+MIZtYRIiT+anIOmKScUv/WEYYz4p9FZvxTeNm/bcxZRv0mZbgiB/HtEOSWq2cfyceuHvHdZd+v9QFyecz172s7+t4cBax8qW+Iy8lvGBn8pD913pSOwf4PpYB/5PSL0fs/yrptHCMIKUTsmVRKj/bCYfEKFnwc2RmJ6znrwRgLG7FdvfCRlhbGNgOvpp8Ub7asXJ4NRi9LVLfJd0KMXfG4YSfmEfcvwjM0DDYE8egUYoz8akwVwGX4X41NsQsqvIY481heoiAuiEhBH4Zjg4O4cOG9Ain0ecuQseVBSxyfPIO6cR/qL9V4AmYSAlLeFPG4MTYkoPL6u9FiI/Q26aZMm72Az4n5s6OgwqT99uFUIODnXgu4IbB3IUJ30hhHHEnFE6uVXCRXi9CtwmZfvdvEtZlKmvCCndtV+eYskLtjhLHJz65Gk7Y0u+dUOX0LO6u8f6xMMi7pq9C5zwVI38obSxMhtAIpBDFGaCZFxthh56lEKNUt2Its002Je4IHGGWaPE4zkEh97o1cIz7wGUnySw3sXC9gFME+oDH114f6x9PjNCETafD0geBFEauN9avOL6PPoWDuPImV5qCrlr4ZaZn/hknvSeSeEhh0Qv9Uqhq7FIW0cANDzPV743irMCWiPuaJqNjMmAB6ziQcpdwpND+oFmdukNjEwYfflwnUmgqNtMxFaiRUXk8d/Wd2qm8y+uueZh+AXNnK5Acq9Jlhg/ftOeGrlmfzPHhNV1ohdOfalR2WMIRvuMjNH6fsPMlVdpsdC3oXtDenAelL3UzUFUUuX+x3rxCplsVvB1v2c2hGz02OFDDPAOIEMMqWBXsBYgNjLo+U8qf+n54t6wBkgcm3mg8S0ok5U/4GOO1XyRRzxtan+bnTWK43EGV2lrg5YefMB1q49PwYXVBkPNMusbVGIxfMSx1HrgaHX2M+dnxpF/pfXqHg0y7P8BXoNCgV1Xza8UqH/9k2sr+H8K8lHnZ0KaI7vksh3D+BD+Tzuz0Y7NBdwtPpUMYc7HMw4YWxvNClwIeL7PhjVyWeVCSKZy/0Z8KgqdyJKUou5m7ZY43vGjruOS8/4i0YfTb+SkyisO/dZjj9bu9zGS0mPKH7ChIG9x2dNQbSvz0hKdaPhmGrsH7wwFYDwd4XtCVKi6PRz1A3A3LG0hdtnAdMvHmIg+8gTvpWUV+WCLA7OqjOX1pu0kyyswY0aIOG24j326+Sl99TcbalJln0qOBI6m/irnJONaQVVDWkjv4Qyd0W4/jGY8JCIWYllme0O0iohrdCSvjmVx9XJnTDGyOZCAYoYohoRu4jO+6J2D1lI0duVOan53oqlrUoybzJGwHRAR3b8uJV/5dnbD1JKz2ci/sK5wjmGJsC+6+SoveWd791LMNn1l4ya79JAfSHwhnqG4FItxwysR4T7QOgnkPLdNAtlEB62CVzlb9T4DseOVNB8jf04Efpvn7YVnn48/IsTQu8WgnC/2jE41PtT/Xtrf0+QTfzz4H1jE7/F556gdO2D+Z3p3w3c3R4ov5U/Kr0fuPYJz9rfL4J2X+IYngrWOyOF0/afddVKWfGJ//zPTLEfsXTkuIKWfOhaDvToRuCY87dri83S+xDYHspxGs3e0ODRbIZO5if7nwg0C65IblZIGak1S6zvvLzIEaxgC/x0olTqpuTy46fH6ylu73CkdP7O53eBCGxCycy7jjoirQso4PX6j3ksjYODbrp58iYQE53Z1g4xPCL+1k5fGuO5MTY2CYWVimZ/1Lp2MKtqFPYXe0sJRloWV8965a2zrvm+V2lfvDuCXIp3eqE9YFOJ8rqjc9C8lvzk+6d86T42rLwpznH/U6pzB8jJM9EjtRlzoNd4RPk9jz9j3xKYXwol3Sfi9m9N12A8pN9ziJn4TzynS2S/Ur1cNJAOC2U6V1F7ev6xBObU0855044xSswbMTOPsq5O4Uz+bOLHIoZyDL2CqSQi0GF7qOna1+ArashbjPpwqLPteEg4s852PxIrFzjU+5hbDRAbZHcR5gjqmS81W/QHdr0r1ngrmL/VIbD0l94DH0O/i6THweuENjWO4SirtIff3S6dlxmlqGI1UxDCt+ctVpxHPuVl35xPgxHel5/Xl5eDE+8XGP/Gq0Ipx5AqC3gfNdIH0QIzVHY7+/kiKtvcUOaFX7/WxjkJ4tz7eX6wL5lkSX2lMmba0794tylwyxlT9KfqdAbIjh3cWJJly6Grz97iheb67A+jganKKERzaGLBjHOLtBjeYxaA0wTy/XdSI2XzZX1RDmPKDxfc7ebjjuMtHId2wh+FFkZfpE4z7W26APgXdOS5hGpbZm2XAosQGIQIx17OONmYfriXm2U6ETliLTUJoGJ+q7j2vMpZfPcMWYKtI9sDxe2+TPX8ktp8Q4cvn4+Gk14n8LoZ1dHH2RebI17mic+arBJ+qIDXY6cd9fE2z8m9/rJn81QrC8m/uuZ4eCrXOuI8kki0O4wOayCM3N1glLdeUKkOkC8ydfT5LxaHEAKPGQ6lyzjQBukPVykZee87uKD8yn/14H3v9pU+BYRqJjyOIFj19/j+hKJCvvaMXRwCIVX+lr0NJyp3ChV4G3G9rt9ST94UTrgCnbu/ziodNtw4xAgNtlbKNFbY6nviCUtW0fk8Ev54uXoYonaCtdsKGJdeefktcUt82wRf2KQb+ICM8xzrRnXGUzfrt84pGUOp/QC/6cQ0CHAZtlivjU9Bta9G2CY6EnMruvF8zpp3ncdB2HV8bJ4P2HMsFHabwnnzK4YaeImf+RTB06ICXXtWIuSVZJDoDCoyZMxQlb+wSEsyzhyi05cxBzzM2T4Hs3QYx7rpmQLf1OWI+edE+5eURQmnczho3D1zXmJ8sVYevhfglsk/gcs+D/gnD8xOZDP5nXqB9+t+ROH/W23NnqcMYJUjDxmmuqpGqnCfDrZjaef+x4dc4slxW6c/QwMR0nJX+vRnMutY3vY/xEgQ6N8QocV8SpWSDzZ5bJ/KRu4DdvJvYGXEGOjsl8VyIgsLPP9RLx+gzXZ/SrWdZtC8L6qhEJtQ25/RaoXuiikNahKvhDBkW/Wl8cssxTu477YxXA9/cD921X3NzDOQvf2GvrY9F13b6mhrfEz/w58JrXebmX+BaMMA/RW/n+xCu8TX9U9dOmwEVzqKYWEQ2bhZHsJwAA4yF84rWpALevWYuORTTIZfJtv/ocT9dT54l7mhMCeRlznc84hd2IcNXriqyvxrnykVpms8k1fjpcVPSEA6/sDwstdfh37aVyAIeIznKOprx/JlUbb7UlA2W8DQde6g0Fp9mu+1JedJobpCyX4TrzAx+cTNO2eSjfgk81H7dHUYS8j0dZcvOc+xty6SunZuVJQFp/7F9Z5Sa1KjIgPI5J7sesd3lf8hx17//i9MsR+xdPKQxcCB2YoZN8tyKnymSJwHuIyGncQxjMonghAK6E8cLZGdFmW7aIDwLnZAQmQBb404Xb6vfycAWzHr0EsBCmAp2h1BzzC5wu93E9y85m9T5LGMMTkXDHnRNmYgAjQz6xsB0vGgdnBM1gv1kxEkyFTUfI5lGWThv4/HkXXMZ1R7oZELZEyWXEoozpBfSvUbaZ0u3MraHS5wFICMtejzt4w6GfDbHb8XAGyqekYgzHOM3+IYS16TjHBp+QjOlVaAiHpbdpdSeD4An/6nNvg5yxSYB9zvojjJ8zKp+/GymphfYRUVy2cSIZWBxm76v/vqi+JKVJCG/yHHjUbQcrLpizQiJ8ywgZJUnhlNuUZ3aCAAknWXnbhSVJirbjXTEAswEG1jepn+6ce2jCg2m1QRKml/V82cPnfLYY5AtOLQ4PFqJ5TYHwqOf3jitKODPW+KBr+lDbBWq0zU4csSEkQlClgcXkFTL6p8AIP89CeJttLmvC16859txYoQIzqmAYYjCMLGIbDGL+zeiiVzFRsvGmKvi8TmhtViORj1m3MYkxvWZ/1Bd1Hx3Wb+uiGZJUO7o5n8P5/fQyQF5gBJcZjly5DcNRH5tTxrwbv/Rd/rxGw/iT6RvTkmkkYx5heb1td5STTOBz2i/EWvUuKGY9DUi7y5dk7TDM0xA+wyIz//Op2ylfShu0QrEluITWnaeQu8vpxCVkFKZCHQpSCeW+8FEgG/tk1sXrftAxJ+o0NpjjWY0RY9w1+g0gNokBU0EMfm7O0bruEi1hnmj1hTG2yDIp+gSPiRs1ND2OAAEAAElEQVQeMMdjCTn3JhE5Tf3j9pfE69r7wziNCYeHII11QPOlXF/UM4iNINcZMgaPHTLOVAV6Z7zIBpI5TyHryabbzFuivOHDZpArmcm0gnmfLjCzjFcV5m1/HL7YdDjhZJhDruY8neh2xZnCo0c5gksK36n9jPm2em5d2/iVPkuneffXvLm34CmncDBu1njoG04aiWamOl7AohUXCi1d8pjswg5B55O13Kt2X6V6X2zqF22qrbLKxzhKOJ3kvnjNnfqTyefoBWivdFIeyyS/V5oRcoE9N1lRXQ4TIxluAJdB/7bO2F37TKv9d8GZBYfiBxWVtZ1Kez7Bl5BrX7VL8lDwpyjvhH7CFX+cNnRSuW7FkM3aPHn6Fv8P/QuZk/mkIGTDAIOcmZOWRyDwtf/uzDREly7TCWs6Jcp3x7Eku5UNjJl3Z34Y8rHTLXd8GfwuK4X8rZnkJP4Uk01jUsc/1sZ0oFUdajv2J9x5lXwN1nodRJ8z0xUTrdoCMeFgGXKsk1FWO2YIWejsK+MC5nfd/W6bvAaiD6nSuNXyy/gUeWXICwPesHsEDhJu0JVkMRwhJ9upWAWkAQ0NNzpaaxBB3BOr1kERHXqnF1c/CSu4n204YWNDtYRuGX9F5l7kPv4DMu6Xd7sxSToPJv2oNs8qk8e7zfPEmmPikJPL6Z3aj8MMc31Wml7nuEaKirXKzlAZ9E8EM0oiMB3x3F+Z9QbdAeZmApVlA3WCR/1vQ+e8rUZ9frHeX6WtXdLK85ikedjVwfBx3sofyfboZd7Ro6p7uF6y4DAnmzslXHgno/K4Jtz0uvygEjLddr3M+Vrtz1beiXeCdoq0uXu840sF/kngPksnOXq8FLAOWnWn0d6+rZ0p6yNYDhNVYdz+dl4ZNEvBeuKrufgcSKSxX+r8if7+R6dfjti/enKizDt2y7tdfgB7YlyMIrHz18sq4HfArAJ9XkzxWMr3JdwvlQfCGZxig5MDrSrEbBSSNk/wsuBR875KC9OU9bNfkojJ7j60qrTGvQ8OF+gZiHFQmTEnmhTd4ZQxShvCP0zmPPTPmZTnl3lXrTsEUnY3JNKu3MALNxJ/m/Aic35cv+oPJCU7jR8whWQpbXKyNtlpxXPifVGwMCLo0CxAsOIGgtOrY6awSez00fKsCjV+Yikc39SHpIRUAZn6nObKnjE6LXf6Ub4p0GRBJBxnVFE9kTsL5D65giCQUEgWhdPGJJTpzfPEeL3vcVL9MB78TJBPdwvm6RtMhTeEMTIGTkWDBiANBmiQBwFwfGnmEEx4w8LLBm+OQg2PCQkcWpwr7BxjZ1HCG1OGleA5Jb1GGPD/P3t/H3LtttWF459xrft59t7nTY/fb3Z+CpIYB8sDYdlBUaH+STJFIY0oUCywLIIi+yMwQUNIDeuPzBIqeiUqIfwezE4EkWJUGBS+oJmZpqd85bzss/d+7rWu8ftjzjHmZ4w55rXW/ex9zt5bnwn3vda6rvky5phjjpc55hwzwG93ePEO97yD2VLeuUZOkAGAxnE/S9u5SnQ2eES/39Ycdzw+QUGjLhPLyzgPyv4e+8EnZltfZNzHs6WKlPJs7W5S37Fs975mgRYWjNYDYa82qwcNLmYh4SSe8dIt0gvPLxfbNDZiMPY7ndjotTYECcdd3Hp9Gw5DEdopWM34O+r7hnHS06I78KpLNngLXrBU0okuJMOtiQfZYl4f1pDP3gHhNIoUsLQ+1TLL4Ge4/Y5ZPr2JXkeSI4HnIfa52kjEnzl/BHrUkQ3FwIOIPp1Pc5sZR+l7g4fG+Cg5T4r5hGHwvM7pnWZa2VjuqiF3xD9Cvvigdk7Q5i8BeGfzpNuWdFQDO/S8/KJ/8Gm5JJeGfqTz/C3qsrLOYxI+Qr8TrsPzNGYGg3/vMnw1RuWiOj/iOVvMjWfp1aWwoHgDXj3/RTDxLyidIAM4elClR02OR5nnSglXwffCPEv8eKrX+HHfwFIvYmY+IPSO5k7P6+EzfUHTJpSBMrYtP4R+vQ3QfLomgheyJMxBTb8F6zlqtqfzCI3zXjA2idHGonAiFnTozuwZxbjuQeDrGaz7uhy3tgz2rrOH/hhqUh+USdXgRaRJqfIv8Fzx3oanRZmD8XIZYt+LKE3B5rq0a1l2UQ/J2vQYjuLVPw90tWAP84MHwG76U8Nn0z9lIx2R5ZDKGByKUCJ0KtY3+dqYX8HnFBEC85h495L+4uPb297Q70TthWNkGK2vtLHIUO4UGhtJTd/Kp3dzH6z6SQ+j51PIaWAZkUlNR7LocRiRy/J6wNDrgRwByeszXPU53r92W2Hw+SkULX0P6x/WRwVwv0EVuJwUctJmd52TgWv45Lnaf/g65YrOVSKNKF+hFU9K667t5HDHUztAoD2c8Ib7J40Z7XfjXlgA2DZ15yzQwhLf35+aI/bST8JyOGLiedLt0jD19kFX2bYpn+c5spAtohjhrOmZoWbgDEPgFPpdR2t4VvJKplevwwRnkZ/qLnXRPD8YBxsg3f5lR75s4izHx9pAYUeurxfG+TzZkwyzpr4Btdwg2J/GAcblQp32tcBLLEyfSfbXjc3vpiEr+t7oUyNdTv2gk6YcgtzqIAftJMPJ2ep6Ql9zzdEiY0FFFbo22028vhLsF+rf+DE/z+ufUzswPi5TnqPU9L9k0zkDpja8P8Y3Rx9uso8reA94SVWmtB3Nfi/6KyZDMMPI6162IRsYMj87has2prG5EQcfj/TMEfvrJRkDcmKbpaqfdu2/fYc51AmzXhzp4Yj6ZDBBlhkdL7r4JOyL/6NNOBevFlkN5vLkDJ9m7JPJFkPD4uc2ZrHtnufQfsu0d8MBGmDbT1tQPJsxKS5ssqCdDP086XXg0Q3VXonv7KZqN3ey9iZsDPICV+9f5STyBf4koKS/c2cI8S/two0dsbazGTtwepklUG9vH/mRFrW5DQHaonxmyElQTQ4oW0DPJ7U2+G67DU2B3uzkhI0ThZj2zQRdFc+ClQ1i78Op0/OuUbFgWul36IY+9NOtjheuOytMRMebjjBeHh53g4d/8jZYiTi1HcbbuffhTn0cw4IUzT+fq/bMhkUH6rdzD9sJuBAcCgsbzxh3rJJT1k/d2m/q98YnfLOCwbgxHUoA7ZLLhbP28NeW9SROqxfru7XLjjrfSKDO1JxGbDHgPMZyUrquKLCBR2p8Z130OUV5otKBieYDTvsC10pRUlHgUS9038OAdVrB3sNhw+ibAAPaCehdnAcxL86n65Rg7w2PU8SmSF2srXZad+MQxeZwzIsVVi/h0XHLOAX89KnxozBfjO7P0sb91E6S20IxAHfQOm1zKGJzWHO/dwHOgu0egXamhQa0dpyeFMFBrIQ3xsFu93H3ueTjYFVXzjOjLx1zlmnX54DP0S5z7kaIviCywpg0xLSxj3xoWkQwPBD97o9a221zw2AwsrcwdMzrXM6xkWz0l2Sh94+d1Jl+nD/p2KxxN/QEg0H2zndPsb5JjtucY7iqE8QYffAFaQycmqwJcHs/50lt1yX4eOYICdWVFYj4CI5Ye9xPBjjvIXqpQs2F+gVDt2JZDcBDDgPIUS/y7yoyRTaOw4qRAZnh0tYuy7hRB5VPePGylC/TXNSv0r27G5/unp2gwQjMMjwPtaYxMnqTqINkvm9RRmwhxGi+vRPPE8pQ34xVhvoXsoV3vAcY+ZHPjXHliJfxjYuN9oJuTHhw3VTSq46PZ87YBySn+5Xy0rNR2NTKhuFkecYp/y7Poa5juVzh+bTSpwTzvLwl5RAAplcYTRV1+XxOzyTjqZi3DHt3v84L3GQrDOdF3+BctGPRjDLOeRFON4o/dYX2w4l704usHPNAEuf+nhOpUXIZmfPG1hxxwO2fbkv6gmkv4+p4gkXRorpIwAHxvW2M3cRj7dkWhzzwkd1k7zi7Geyf3H/C12RjC+U5SFGu0nVPmYd3WRL6mJOSXLuY7E73jwpczwy6Xf/XTiHPbXOfKxxz9VzQrkTYO9MedhXGpwJ2VYrr0Iq+QRIePQamd/TPSmcZeNBJXo6xHlD6pgGTM72PThMbRmSRvP4w4UXdYRkiQ2WnA/WzdMQy7RbrCs4fSPfniDn2rqQTw8k+yktfJ/TQ0f196GfSWxxPJIudj5DMbr+V4JNA8xCd+L7TwAUtUtGuzRHaT0qHZI7JDBchKszNnNfGi3jMoIkRTUikX3+yo0cBA/zuoF1w1nZHrKa7YrfTjru7MYjtJOypOXDPW9/U24HUAZM7/Wys6F2wfXTglZ/7PMn0z2OYRaNiRA7rBUTR7+Ft+Vc6puu7XC+9Yx1O01gzDxUnqKKeA1k77qSe5atc+ue5O8l7/drvHq76E52tEnGa1j6En2WcGD5pndv7WvGupBOVaaG3eLNE73m8WC6jepbaZl4/7Jj5PTuZJeHGwWb6XGxka+OnHQ+1oAunZftvsyUa3+vl8tgW9DfmfZFM1vGYKPHWQg6Wtg7PUwA5fG6Wr9NaFtfFSb1Iqj/XWU2aoXAN/FA+nQ/XTXO+qvfWE729fbOLK7xFG7+GfTWfJOOA7NJB0zOsbxS78Zkj9s2YEpNfJue07fu0UEbvwu9cTbCECsG6YkYLIRqYXJr4wRBikIypUsiQsGP2Rn4w4DCmdH0mVvfj5sWnDPDUfZ30RX9e4a9ypk6plw2GNb+WIUyDgLUqqW1zsprxzDQWFemu0CDF2e/KhzdjAk0SWFnQoRgLg7FSxDLtWr4dfkesOy3NMSdE+wGO9QJe7vOcIf4Mu7BC/yU4YYODlwTp0aLT5BDmE8qeKbZb4SkYxHPR+MPoNdAqE1t/73eY2J+48pKV2Om07C38i3AVFKo9Ce5V+QfyhXIOZTwvFOpgUFuf+THNwUkxXyiwgb8RP18qEGnsLSyxh49KbTFchwvulLdUSllh9XlN9Rd4C2NntILxO8NX8kkra8VsvIq5IW4EX+mjFdvnu5NEpS0SAGHHbDCkge6EkuHwtLmR2yAebX0CZ9XUlUIBZSVWKd9qvuf2G82skcLjHRx8RDfBaLsFxwLYwnBe6HMj3v6YZ1C/B4Djj43R2Im6i9nIbgsxmGU6xjNHZ3qfHXVVssWP6nk2aqe2U5tL4x5N7uR7fcxwnTPXlUzGjT2nxcSwa9kes+MDQzY2vieex98RfFX7+flkSBY6wjQXQgVzn2qcCybjFQnnKXLLZHxfSVnHWNF5NjKvpdWiT/lpcirR2KGRegBDDXMrk+/9Wd1Vu1xUBmALomxgT/U+S+uU5mIMBzvwOG3mZVlSyP/2uM+XG8aD5+hhdm7rAcM82R7ofFGG0+2Ixl2mpghMazgj7uxUbF33DNx0yraITpJtuVFgARI7qLbh/J0BqvEx2ZY2BjLKhOeh8PgLfJx+S5e3fnIpyfJMbyrjdGLWV7Ntxb8Dn3X6JzyrQC60GMn8uEhcf+Cdq8RwHOllkv449TKT3gx0HUkO9a4w36x4vjfzQA8MKlGlH3Fe2njm98UCbo9A4RFkpqttdhzrfD1PdoZkndDRnCPFCc1P0sdE0dYMzLa0+4NTtKJRvwx65cR5F3pngPMWfSS3T302m6uiQ3e29U2w7aoaUKji/l7HtTYAoNJlqiiQ1v+s0TCnOEqX6YWAz6leqevXTqrEH1o5qtcc894XoYIFjqjPDseKPqxt+2q0tHXZtRHj21tl6ozKqhfstvBE6UIq4b63sMS6cxjiog9kQ/pzlXm9xJ4zjyTauEWueV7iMWs7gvQ5wO9Rtgd09ocyAZlOV2NlMEzg3iLnGQf0zEMVCwaARuO2OZQK+Vxn2cMbF+wZbwbhvwx3elfanTxvV/xhJSNSHp73eT1hWYzHKM0Rbzb1b7KBNH16xkEwa/k5r6lXMmWlPzkMXJZhXOCt1Ak4v2Cp78XNxAt4Jr5tRCAxX8izhvUm2XBLmhayZHpe2m1HddjjFZxUrx00C7Z7ihLjzuB1Vcu0ss/VeECvf2Sqy75e6Zkj9s2YBNAT+n10jRPvJxPaGhmoKTrFSdBxck8601wzn1EPxskJEloARqgTDEEzMUa1Uz20Y8EdxCN+OzNlMSHICoDtoqEj6nLpdVoICr+7tpUJCw9UV1hI7KdiR//HqxBqyo7Eb6N9k2BunFm5SnGUVKfv8Okw2y7ya6m3mZ0Su+0iclxJGINgkJIDVgXQk/hJTDeobPz73bBQhdy1d7Z71ULeuLJiO6FJMVGj3WxsJUY6UWKl8IDosWcQggN9IUQoNBLTXF5ECI49UlR2og8z6naeTzJOrga4Tu0O4RCSKykb+bSXn4S7I5zYLt2+2xgi7QTooz5GdAqw7TYf94LyiUogzUeiQbfBFGP3LJcxhQ82h3o95lzthoSfKrv0z3NU1sL9br2efB9FUAhY2TPUWV2IqY3pSqu58ptOcXsWacA0epehiNMCAMMqhEuDkR2DfCcsAD/BXRkTdq8lGyp2n7DxbX+3N7j99CesHfH6htNQAk4b3vrnnbYT1Rd2rscQZ6uIBqpo5Qy3aU43gEg+0E5nz5p2qDN8vsN6H9XOC/3wO1C9fF+AgADypJ0G1juF3mmsyPpCO/j1Eo9TiEqn923AogibEXwXrZVZ7YJnXKYFpbzA6Lgm3uKLKdR3P8loYbkzblb12b24/J7LCRqvUbT5kWUnyRU/GV/IPIY53IUqNK86bgRwo5nnEtPecCJj3CNr7+zkDfHUAQjcWWgnBb3rd73Lfa4r5XVCTfOH53a1EGbPrcxmJ+yLxSvWa1hP0ZOQXjFO+7tcqAxbzHhjmKq8Dk6Hd/OTlD2PL07055DwzMKPWvSIVVqdzCzhDw8ACJ0UWjWhTc8MdFDJlySPrY0xtLZAaZNFJ91vMh7TKdlg9HH7Pge6TLVTroRfL2cnt9O8WuKAYFABwHe6Mh/eCces18P4aHzmCz00V4PehERzoLz76EC1yx3S9CXvotebcCEIIcFlV8h5QdTPUp2IZx8uiPEn0zFfhZPlCwA7Ceu6HQC/R7hYlJpGj3jrBDNmmsvPTUYanCGakgtnQVwoo8o2GfBObcwTLizuWZWIPHnJ6wo+kest7wDj9wcpyFZ2xlY6GtUZToLYnDfdKPMBbwwuD/3PonqYfWn312/i11XaYTP0bo4w/nD6EqvX+y5TuwyfP+fP3Fenk9Zxi5QEzDJ+wqsO/SBWSnhM9DvVvQ0acT8TbdyteTvcFvDfO6a2vL3cLvVdTw2fOfKu56E2nGxWcjPA1+WVjWcff6/L8ijaybXeJw5J7PI6nBCk37zexW1XPEvm8bBIb4w7EbQoOT1U5obuvLxIG6vUB7OROIm9XyWC78jRUPbJYR/1TLqGzLSh0vRO3XrI5R7pCN3h2k6eD4d5q6OtIygRtAQA+uNT2J4ZbHo/6W6Kj/EE4wd0b6edfjUbxk7JWmeCzcV4ZPRrys95CI/xNL2Mujdgv+sTe0PHh3iI/XHav+sxZ4uz3p7pLu0eWNO9dml25I5xuhWjXbPJ5Zzo8JJsSkL5tMkdJA+BTI4RNyB+JREHDlIq7882hKhjLh8sig3DQ2s6eW3D6cN4tTm9aS4qSE0QemaOVONHimEnWtbEnyp7Z4pEYHBSmYxnvtLmauLxSXQa1nxkfp/rmVKCOYjxhCcusmTXJO8lhe7NVyownsb6v05j7P3MfaC+ct2rK/1CuQo/Qn3g71M+om+Tr1UzhS6cHbZhnTHx4HI9z+vGXKZ6fyWV8u3WtFgjKPPlaEeUKh5Rzg2ep31yBp2WaMf1qakOAiLpMb7GkKJXOYwyDoyZThHH86EI/NikZ47Y3wCpEjqrfKUj44pgXzc8E/5qYpcpGQGmyw2G+7BJdG1X8zRJOT0V08PA0Q3lWWmp4OBFC0HB2AGAd3peg7eCSeKnL9JVAs+M2K6ccbicACP/LbWBApbVe8qXaTssirpR0hVezOGn/LukZxj1ZbhUZPSV8lT4Dgs0VZ8OSHI2HFP2A+WEFyJWdOCLVljIIxaiRGPByAOCIPXnlWLC8vQG3nEzPVTvqu/X2ruSbuZdRueaSL6Ya/7uGsyVMn8IKxOOwSNRSSTgAq11ZTU4n3juUf+8CSF9ienAfh7Qv9B3xok/NyJzi+FhSiuHTLad2pMsDP3T0IeqzlUI3MkAuoXu0/y5KjONT9G4hHYIl1Vbob6CJx+iNhkljiodf+UiERdjnBf9zHPCjW8Qf85zq2pPo0wtu5N4PZHYaENIrlypb1XvYZnFu6snsQ77pQEnjvI8HsXi/lT/rbwpf1/J+yzHD/QCNto8LOcD5v9VWKq5meVZVWbSCexLJuIalkO94EpbU5YkEw5pLcxfVgCuwPFapdQW49wc3oc4uUbzz9JxqvT91by/kgJ/OtLtDytpY/7QRakVjdeLSgSbAN310H8/PeFnGR1gTnTOi9+xkvGZN+qV9Xq5zrcxhzH2MpkfuNykSm+UZVzfZLcscJ7tl7A5Q8dvXpB2OStr0MqNAxUsR0NLeqw7DQTlIuvNaZX/wP6y9+7QlfGnjMOijonWM60c9D/U60rVAr4rdc2ZEWlvh2/eHzREtkj4k6hbpxNo0cbMTGMGi230ci4picC+cUt2+Oatm/S9XjHriA4P15F00xWcqz4cw5D6tKgLGY5b6s28fbKdYmVtUV7G9/RufkA6KNDXk8Tp4VA3zd8RaWSZMo7s96GOaIaXho1gYZFMNThhjZ6N3kefe5s703tCNNHeeF+nh6yrVrKqpJcr+MvlW+X0bqETsO4b5kvVDPGple0c+qPx+SoFG5TKBZs+bQR2W5LaqxxvT6u/Pk2+Sed4aJki2abeSp9eORqXNu5DZejHIeUxjO/W1wVcqw/Aw/tLjm/JdJXbmBq+XufE0K7YSCUPuIaHVVSoIxhTm7fKuIeg9yYfyBskPXPEvhmT7RwkxXbjHeELxX1SWNLdYqUBIiOvXLTeTRIU9jEpmzDTGhaRcGqztav+ziengWSKPJ36MUV9CP6xe4+F5hEOIAA2GXfJAh56UvspghZ9pJ32MGU9G4MadujnflE+7peAdmskZVQaM215I9CbnyKI98G6Hre1yp0X231hZ/hJTdEx/q4Y9dObbNi7k3Hr7zgs1GY8n06AaLtPVC79neOnw073xrLR2caS8M5GqI58+ynjuAlOFYHedRq+tOz7CRB2KO2CjXY8B8YuAO+eh8QxnXZSJYXTd33bGGZFLe0mD/0nXId31LbvBhd4GKqtGwUeShqDDvTxQD7L0qD42vzf+obPjrcAV8fzZjDaSWmiH0+8895x2uskmoVi3NPIeEplfUGC5ktQnPmZjjuBZQdUFftda9wNa0G/m5TmnZ3MtrtkOp5tjToaStYHKssKPAZ95h3mCsINGwHUHzHYic5BDv/Ml9nBAm1zHGcinA3t5CfQDFsivjC3rA9nQETaaexH/c7dC9qnxM0dG/eHugPATzU57XOkhKpMHnebY0ZfbJh3ehCeh0J5jYdrmyMQuj7SiJFozfL4SWLRVuAiA5c+qSLsjY4l0IDR0U730tphm2z8OQ/b4z3JYfFCKa8ihjnPJyo7/djBM936jn5pDxSIuwKTXJ5259tJ5B2Q+94M3TVtc3ajuYPORzKurL2NcaD9dKjRiRmAmVaSasNw229f1PUThQS7yVY62R3g6u/YaesnBRMfD/AYfzNeKAG0RjKnkcfLbBEGb1cwdA4g0sxFQ9/lAqd5k39hZ3LiP5vjMg4MG9Z892xbTFPvF58oC07evHCEdsrEcAgMeh14EWTHxPjd+ZNNZGnP1D4ZbkQ8jvo7zAQX542LW2PeBLzsEU98KnacihnPvBzLe9D4Ez0NnUq8nkBfgtnZkORMWKSfEFA88371L1tr12iU+xEXd9LpXu4nBm0Hp4rRbW/LdTarh+GzftndgqeG08kmoDZDVwV9UbSf9HuWrqa8ycoj1DiNJYabxj7c6Qx2aqY8ps+EiDKYeFA+cd6qmh3yJS8GSlqx/A2Mfq7dbMZ837UVO8n4YfPf6VzquRYajCGypzUvoXpY71JNOCW4XM+LPMJ1LZ5/SsNVtA0Q7gzPOwLP97w8jw3kPP+ZL/Ty4V5Te2Yyz6L18L2N3Qmq9r1H/3Ha6aGk3VbmcV+dJrS8jCjCl+NZRv+g3QbqJ9fsZOwkT/mT+J3XndusdC3SK+w+YLs/1/WDbTzzz1QHMI8z04WejHb6POA2DCaD3edG1/M3wjnNX7V/Sl3SBAfRqO7NpnY6Y1gv4z71tr4k41SsnYg1vcxsS02fGRckQ1e0EtZgNrvZuefruN8UuBB/EAXdp0nKheEJPQpVn4wDXilpaLXwnO3nAG/OU8xZ1rlszmb6s7UIo40jZ7/RgZ9OxZiH20U8z7wmqL2f6XoXhtn41Y5oI3E0uDy2vbyHkg3Apk/Diz3L9AGQThvbUs6nCDxL7Zivz6GeSSN/95Ow5zSBOl5wgZ+EHRGixMcm6FIqY70lj1eSh1O/7VHuo206oI0oAwaa//bcTsP6OMHXpRgeV4s1zTUg3uPJY64SdBDLI9aXDWEehPJdd3Qbk9YCMg6mZEOz2EDt/fS/bKMaQDRHV3pCpstE0xEAqjPVm+VMgDWnJLPzuk92mo2Id6ky49MVz2VHnOYy8XmwCS2b6R90cnHVj9mWJNiFYMw4pQ1/yrjNdSmiTcsgHEVfQIH/6XRxARO1zesPk92T5oX1OcI34GIhPPLLZNcGcPl0aZfZEy4JzwGWAp4J3gnOuf8Gp8Hgv4Fo4a1s76lxGmTzD71BTsFyeuaIfbOmSglxRj12s9Th6maKXS388G/pcYT83gxrzyy1BZwmvFvj1t74figoA+BDu1YZCwBx4UAwW8ADJwEviVn7vSFAYF7eDy0Wewrhu1Ky6z5Z3VSfLN5Rm42pkwlhiwBdcWgL71GhNYauVI/BK6q4bOLf84Ca4zU8TsqXG3V28iww785pSfmwek3ZciG9wNFkUBCvZlr0O6B4fCulg+eJObXN4UKKgePgFJ+FRdFt1KfW35wYVkHRUQSjN+Mgz5kmJGWE+mKYMuw8D0m+dR24E4GMMezjwopXoAEe742UiNynqp/cB4zvDH/Vf4eraMcXHOxdUEowxtRwmLQiM5r1pBRCSwaeEyy88FXCWigfSt8dtFxBr7NavPGyaXEzGPh8x46tHAjcmTrB6cDJMDYf7fB7oHc0p6dtYPAVJGo30UO4X3oPaF6X6c+cHhk8zCxdqUxVXxADezFKvmgyv4oNIHUgPc/yLfVnqrMa74TLEizj+TQ/VzCHnf19/Gz+S6cREM8IcBDcTp/Sy3S+ynOaDZ+ZNxGsWdbbbwuHZPWRun0UZtw3dNgiNp1gCEYfbw7xNuALVGHs+HvFyzIYxMcr3cDRJLHM5ADIdXJ5IRwDIaRXMKwx6Ih5qPOpwgALBqmVhe2GtjrrkMcBfp57JMeXqeCP7bnE76I+Tl6O215Ma8vrOl/iQSxDsmOC688ORi0HrGI4i2QwC0K/tmIBKqdriyxVXqbPSW4S/sI1DVW9houDNldwBD262AQQ5rjCQyi33zrXs0hHYbCfJUqZDz9NWQz5Aox5djUt5mxoIsu3hcysC880Zjy+RQlKBSu9xEISH8KYeOKu44RU9jpMhenzljEwnsr6H2guphPFPEcnJx3NYc7PPH+pVwjNwyX+6a98p4Gfmr4X6rbfVXn+XsGgQ2ZOZTgbywhqz+0bXRYdbd/KblwHIp0m94W+u+PaHDpJVoSqk46ScRjGjcpNtkWR2Dl3M6tg3Yth8hm4gJ9ksTs87Bk5Ylm3KfkN6SDhmTcYn1eyX3XcG3tkHsSOLJ6bE3ZVyeJ5GMejsnkcqcy86I8ZL7cObKU7HcFBjxVRrSvVmI5nH3PKuLL3Q2XMD3R+tEw34iDfvTycy4nYQ70yPhlW7fX1zd9im8A1wcxzI8Ayj+st642TE1bip4OY+YWMD+7ylCqeuBiEq/ptmrOZR2cH2jTmAddFnUVTqzUl50vMp7q8RMKpA3HQXmzgtnw85tf04JzyumCu97ZK6vG5qfzNwgNXZWt2woZ3N+JFr7TRMj2sTuB2XOY5V+pci5DA2d7nsc10fmgzXev/a5RqXbJG1BF9rvuhyE7VI3pvL7KgegiBfuzSM0fsmzmxshgcRMlQnJSkFH5HhmLLDk4A0wIe33vDR/h9Ue9S7KCvmPiFTlsk+MzZ4HUXcIT+dJgnJXGRN7S1AyFkToexlJFdCLe7LBS22Bf6WDCNySnGRo4ZnVQ+K+ETc7E8FMZtOGR7fTsVSHjJd5xBI15kB05P2gng/XG8I9V36wr8eJOfzOq7FPc++BuAvZ+q286N7uw+Qm6L71rzPlz80IYbyO6Ekg4D92GVdOB4PwF59xUQx48V0Lyrmu/NFYIDAj99aaeBePcxGxp5QdgN/320qb0NxsWUiH7Y8NJ0YpgX7gvUeH8AuieFFMxZSYhKKYB4J6TVt8c87qylO2L9xJotlFN/HMCklLOBDqDd6Wg4tHpPo71QR995Gk9gsGKvA3YA+yPtdChRGdUBd6CDjnehMaucUGE+044zFTSHEqh/VpbnHdGJ4aVcdQOGE3LDuIslM6le3ofw0oCZndrid9dOJzQrOqX54XhjVOTx7nAa7OZsc0O/oAfdBlJ5VyzPqax4trnS+fcp4c3hGLzTAG70SnzyMnbfqmCc5LD5yPRCNMjwe9kt/a5k557GvUqG4z7UW4+CIL4Rhh311ldE3AZ53uuyk9U2/85pkYloRU+tTitrpzH9jh3qu8lQux+z8Ulqy6qXWE4ug5jEhcRIrC9U91Fam8zPgozUWGamoeF4NVkc+sXliS+FOotU42fAVy2+BseBTRlqf6UTSei7RtyiR1nJcw4YOiLPScFaFpOe5E53K+P9ZMHY+POqPp8vq5SKVYuH0REb70AdMNMzmU/oWdkqgguXZ0PZdQEgnLpz+U1yMMjh3F96V2KJ6bWPU8ADtSFnjeNn8KaTbdB4ct/bYRgyHv257bDueqVFTcjzpnD6D36lMY/qOOn9LF1PaT5VmyzYwbEM0Sbpu6b5Te8C3XK5mK3TFzN8RV7Bn5yRND9dtyYa9i8um7oet9NCKhAiCagAcuCMXTqcd4VsiUcQnwu/rdMOqsw45T5UctCep7nhm3E5T66axKV4nri4nHG94h/eTOcVIWoQ57WTnaRzud2w9Q1/Xd/IkYfcmS4E7woPixScvGptyOg7EK4J3ulEN0D6RB6Tot3s6OQIENkdOd+f2+HaCA9J9yl1FvvN+iGd9hJBtwU08PMZ5h5aNbdtiek201mGx4qY/NwaEbEuLEC8F7briHI23abTxc5t6EzXi2mZE58GnZJi7oe9YjlYlQMKXI1roqY6i/qjPjbqM71gcvZYfxIsviaopmeMJmWLTVt7k00QaE1qnPTxzLgJNCAYh5KM5hIeZKxezUkQG9aIpwlmib/DOkBFy0pF+jx0GC+t73KWZnudEENd8STythsvM1nj8GmjcQtTPNYP2rONT7sC/j7Y4UDgY8h44MTzL42p0nfmcah4t+HNaInbyrYonzq3JojXTM4hn2+dvi4jH8MdxlvGfPA8PLaCaLOtUkWrVj+tNQbew+VyBEM+zbmQR+VY5XwrWu7vXFdKsM/LP5lgDlJVNtNPojW3fZDaloEvtyl1HpPlGAlmWye8k9GtaT6P62vsd+gm8ylJzxftBRhzPxdzb9U+67RNl4kRPLMDdtK37NNpPQlipgOiFZ93xSbFCb6pD5HnZJ07fNeUv0iTnR3aN3LJgmZGsq+XO0FJgA1Gn6tIT4Dr/bfqDh/L9MwR+2ZMBaNaGcKrFHYxJ+bv4aZcCGkgdHsewtygKw984lQHCKXw6GGL9zsJeSxfVkCrCaO24EvtWNmy+8xcFeATOFeT61wK7DIZKr44m5l8Vj6YYeQmKP/E0On0ZsirEb/a23FlXimPjV3BUL0fXQncTwQsM2MOWyQIhrVqC1Wpm0JPLczpRsoNK3pj8STiZ+tha3eTPklBFMAX029N7MCqhP2kbIm10b9zaDITmKYYCJpDkJTA/a49c6OSqs9wTQ4HGld31sHgWHUQQzFWchCd2njZLszY6VFWgPL02JTX8geFLJ6oMeGWFTQFnf7hPl467BT2FMBkZCp9YT/jpAjYYgY3r4OuG83WMKLvUgWIVrpCrr4oQ3XZiUOr4lLAzcYg49IcuRT+K4xfH1NI76dvgEj0e6T4XGTMURnh+cwY9Da5TN88kenNjZPL+G3KYd14rz8gg95Z/Z0ROD+wchtKnh/Kk5ON57iPQ+YvDE/xLtTv4YrRHeaDBziNnzvx5VPhKph2Nlp1TF+Yv0/8iXn5AtcTLRt/NVxs8EXqRmNj8xLX4WAaL+t1hLCO/dPnLW+E0PF7uuurO2IaDFL2J/ARok8xuBkfTC8kqri8Go/ulTcaEw+BuDYyib4NL2J4LogyyfRBBwS7EN9AGn8h/Ji8wYDdDH/rP4pxm5IOfIeyGXTehKcar73o/Z0WkBku47snBN7ni88cjnNqfNQ7ycLq1D8w8aXWh/HO28ypHGd12TBk7zCQDcbAl2yMi802rrcWC1oh4sooEheTnCdGzdSeOUi2cWFF+72t7HDxsSbm7DIow8O025/nTXyBZ1QpyPN+PcZjnpMx+y3rRgzn1dPXz1KZmIflkIATPS3GxE/F0txeno5dEkjxrrc/FpAM5oM6rGgmK5pHCpKJCe5bUt68XOfJOlPknez8rmyvqj7Lex0+NL51lDnDzvwJGdaYx3iByUWWa9XCqOWbbC/OtAMq2jZk2AKujU3iucwLh/0xHMhBR6hQsHpGZcYiHtzODE6xVBXrH3HxUmKdSXZYyk5nL5M3wWTY83w1fWVFm0kv5TmlCQfTWFWi1PSZJCtyvaIEqsbNnaxn5e+TXka6yHLOXpvLzEeW8/dgsJ+mzaPGclUScTjqoPdX+h7mrNEliO4mAj6CHQH3WQcbSgXPu+F8Vhkqi9tpOmPD7OoJJjEQqOOaxoaLVX2UoXNdHyv6qmib6ncd6yJZr3PEMoNkQOhVX38JVx3RSVinb2MblpfelSnP49wlKrekH5YBed4mGcB1lXCkIry55VCG5fm+gHHVR6XvJW3zsyyDgGGTATXvseK2aTjhxemb4dkQxucWXaMax8l5XcjZpU5yO/tB9gfkNb0K/nJdS6muBMtkf4BkuD+o4VP2QfAUO1J3mOZJll5zFl7VtzJu0rMlDD1y5eRMzfUetX9k266KpLng9mQRpSjko++h/bwptoJPdeDSww3jZnqsYIq4HCy4mjN8OG3ZpmLCweuRnjli34yJF7tcIU5MNBlVS8VL0rNC4Fb39QAYC0s6frcyctNkq5wlDQTtoBUSk+AOd/9c+l0yvV5RtOcmNBX1IoE2XGW4eeFrZQw35WyUrcNAJ2aWlT0xHFO/qO0yTAExwaC8Z4bECjwXd2UvLq+K9t18vhuXFiAV45Rjr8NPk7Egsu8boKrAqYVx2e9al8ICiBne6ZRFWyjXcTcOGaXe9ragsYq+K0adTjDmhUhbTK1OBegm2O/ayQ6/e1RivVY3gJGHdxCycGFDPNBfDftyQcEUSABqnF3hoW+CYc20aPKxw+jKrALZWVcpp57y6aukWFdOKQjmU7xZ8bSsBJflqxb++XfeLGL42M50Px4lsV1ULLzNmDOccD/sBDP3h4zOMJ6nhD9BXIgJwFOeoOAWekXGOWIZKLrDUfrOc4ljo5HPObyKxlPNaZuURIfbdo7q+A0h3ADhDteJBwalHNAeBhfSoxxwaGGi88Y70jsZ34cjKCFMATn3ucsnYrmqRzu2U7snV3eBuqccfp8VFONELgjnRg98d2oxBzh8b4ZhcuZ3fFZpaeTluhkGkp8oTrnxePMJd+n04nyT8yrRQaKV0QejvUbI1Z15gb4YBvrt9SU6t3r9JKgLx1EmnITl55w18d3oICz0kjwps66gsUhp6JlcS3CMNtXnN+cJ/Gaqs5WrTk60MsRQOk3gpE2fgkb8G35Bc5ZxtNrow/3DLLeDcV31wcomPngk/zl8mJ9qyjRJNDBOdCVeWOl0D3H+FTAOx0Qf00rWJwdxQ43O9RRt+DxLzwTA3kP/mm4XQmW6/o5pXAee5nrLbivJEJfXAtzFaxTGxgwg3w17dUFkwWeepUUyvseb7dJ8G9GF5nnqZUzvKubqiGbQdSY/BQ2g4BmaaI9llJ9uyDv/yS7Li8uZB/qCjJeF6wYcfaB1a+TL9RxtcHb6tk0v+Z5vqOsCrG9W/KhKK1nhdRw4iJcL71mXsJOCCZ/gObqlTSSddbjKTKfJgoOP9XAgnrS3DbpdRm1dPijfR7nNd5uZk4dPNnvfKr4gCzyC5LnwBttclwS8aa6fnk02h9WXk4woS8Fxe8Ik65TK+CfD0MErnbZUrumlBFeWHQc6c64urF2UvMDRGk4aTjakSvpdwO+NEn0Sr1imLCOTzmfPxtoTah4ptGnRbCLFjMAAa3GP6ZGOs+pCzs/9t/pcxh7XU9rWRBPiEcMGv/SN3IWe4XyADmYAOtbgttRoIXPC0JCIUB30KNX1Mqmc6xXE7jNCPO828mb+Ydf7tDUCs30p44K/xEYSjDKuEROF248+J3obOWIct5Vp9GY6Irkw6XZc907zFeLRqYKsRKqL6gjvBROvAeZ5FdYNMJ4F2ixwEH7nOqo5lnBq/Mvpxuqg+ZSjIYS1wNzuxC9mGMI6cpq3QYfBwK3rNwnnnHhqzvrQEB585UyEaxDWhN9sO3mjOr/zvqhHtriml09Xk4SX9Ir10Sy3ghO3R17gE5Is0w6BuZ5vWr+pxjjoilJ+L/FZySZQG7nfRydcr/W1KC9Mu1xP5ndsJ3o+IrwiZHDoH8+/ImV/SwmX17uY7iuZmd8LZlhfh/TMEfsmTdNdIwXhxUWWuQ4/RQsdgsW+h3wITJB3+Yq2Xe4AuuPMFDlEYYaZUWSnlE84N9p0UsBmYdbvrD3FyaW9fxZmikOiGtwwp2M3/hymvkgVGUFn7tl5bAbjHZbjMSmaWYkj3IwFMoAX49q7AU92TJYKIb2bmJ4S7B3fssPDe+538cRvCOkjDW8WRhWX3hDDKu19CwEq2M6t3K49BFE/+VOGMz21MdlP8IWLGKpK3FidlIBCGO1Gl+i0S4v/Y5EB3XjQEQL0lJEGp8/9JOOkGLWVF5U5Tw6RGaq1PHkc+yLGJPQXc8kcFs3A16bw024/D1FLjZkx4osbMNwQQBRmZFQW8TLC6RBoi0W/MFdPKMPzhLyp70bXHCJ3T05VPcGd+cHA29EMy5Nif6R0JyzgTkfqduNljfAN7q0rmrudhGSDQ0Z1GWYFsN2nOczzl5UVY1nZ0bKn9zC4dfBeq6/zT+knD3CRfqpRoiKtA5cWWnZ0KNKs1y8Yu4V5bPk07QnApfXZnIlLpYnlgDSj1J3tfEqC4Mmn0sL86W1ZWF1vr4dBU9XG5woP9N2jC557/h739yec7++wY4fK1tuUwbfS2A3eTbwywRxSoWQHnl/ICN+dTe1Oi7qhw4NWDDbbHBI2aUjLENru+N/uW8VhR7jJEOIL2TA2nuJ9tI0eFnpOdMgeOpnH47hdYltR9hl9Rlnp9Czjc6cNH4xDnnqVseyLFXbCluZsNnynuU/jkcc0L2SEzUE99PJucqv3VXZ1OOPi1xgTxzuNSXUyNp+EHHjthc9jc5vrkzbvtlRf6LThRiKdJnyERHjd9lQm5dkuNBYkNyddKT0L7RgoJqPzCU1azQv6lbaIHeP56KNMq3rUlr1y/iyjPBrt7iehuaBjjvX5OsnBFT4TL7F2+IoJp9Ot8T9eEAuOfR3w+Mazg7xVcnxt0vQm55G0QWADqjt422Ju6iQ5y/IJ8mfpSlL6AxA2z1qWaxtptS4X2hCERUC309xJNbfB/MpEZys76CLzhUMnDJeROBdkRayHFaHGi8FNv90RsSqbfi+dhKzPZDUFmHQKbnPoVRrfy6jAfjt74vkkcz2r02Vj0TrCp2L8VaP9QTzK7uXEjubM7qF8pfNmIV7OuJhkL/eR8Btk9op/Wp39u2y9Dv5jOUCpkuM8brbZMvBIMfklgYcavlhn44XLMFb2qVGOD8AIZuq76Xy6adPPqV+OHt5gmug7OKGzd8/aobnsONp7HWnDbtAZC/0l1Et9y3bDlFjm8hjx3NMEC4ZuwfBHYOn5TihItORtMQ6Aw3Vf1ke5r+sCEU7WTXlomJbKOvaMcKt0EJxmXiOD/qINAWDva4RblwP92qqA34ynOxqail8CBXJGf5HWNRgvoazRbZ9U04Eoo9M8GIGu7YqjhC9eOFylzuscJG1tMd/KTU/zxbpwTYwpjT33P733rrCdbfyX1xuKOiZ7EbMMyo6lsLaU+8h8supnmltZF6musSsPycjgy9luDfXY822+yiHPP65rOTSMuyKTo8GmJMmxFT1mkvNDR4G30W8hnHAf0vfVlYBhTDLboOurVmGGqwNRVZrwHSaF9DwRrlUEo8PkeSXCV8y7MGcy3IsNpBOM9IxxOZXN8w6DLsp1h4VOdFOicrke7vvgAUeCTEOfqlThKfB5q3+/vik3yzqDgTf3Tu97tJyb6ONjnJ45Yt+kiXfn8AJZbSjUzIXve70prSYNZ6Gd0DmvcBmJDOka8zjKG3Zxo2DyBH84yXGqs3n2LISyEDTmt41+R5hvC7mQ3/kiVVJIMu6Cn/1I6GSl1tojpSqEfehlsiGRP9sCnoyB5XCTpqTb9w1zaFxvm/qdX+sY8wm+Im+DayiDrsj0jQHTSR6JSqqfxs2nIlEoQohwXWPok8F2RPNcZyFwQ51J4Kl1PLUl9m5azUrw5HFfgZhPKtrnDWXreZzqrxS9Yg76wh0L3AoOU57ssUpDSD59yHcZkbKeT4TXHZthDQuLPK+MLlNivAS7jnmO0DtT1ng1iRywAKAXQPqGCDnLAI8VyrSYlvs1LSTlxSWC2cu4o7bx6J3HhnB0RDMqaItxC7rk+ZuNORG0O73zHGXc9ZelI0B6pcXJ+MwfJ+NE6PMoGX/M88+qSG1mes/0EvpH9Xk1RDMRjvbAFuqaoaq+Q7yCuxqP5YnBREMBPgIh8IYMo0achPtkuazh1ODMdWt4lVEQm5SI68Dvr40tw53GKRs6SnmnMtXcKPh2ZRi29mI0EF9cMf5w4j4qeIGjbLPXGZ7xu3wq6KAe0X4PfcfnnjZAHeJ7MY7ej+JlNNQSTYLe5aZMrzB48p2qujbqzAHkugziCQkA3QkisW3m89aVzDuvJG9PI8wzkL3OfAKxaqvnvWYghyJBdsd7OSfjvtp1TcnbXd1L/Cx9XFJ1z2xFl5ZPdkynQlXWOkc5dxe04e7V1XznqrueHzbdeR3EFypd5aDe2Abn7fahorS7D+dRwV/DO9bJrkwH40Pc5wqOEe3qWidHJaKdh0GmSDMM33Slz65ulzSZ3e+RRtP7PCqSX6vRi8vQ/cqFzEr3clkiNT4rmAFfK8i6WLZJG0+KeVkW8kYhuzuWN7dNUXwOaI7t4ofYI0sZtahies9wqYzxOKrEVOiso7AOq+kzN551zYl46VnKx/C5riWY8MOOzNh+mwta2M5uo/M87BsO2EbOkWN6taP/9FnDkL5bnoIOvQ5qY6rziP5XjFTHwnalm4MiFEkezyqKwmrMEl4mHlzhx7LS1L7JMcF1Xp0ErUIVrdvf0vMdHoK4lUfEISKeLM/KCVKBU/bF3tu6WwXrwVy1K5ekctAbjLkewl/QUy2/1bvPNDTZfSCcpHlf8oYus8q+0bsgd3W0G3E/9/eqjrsYoxXtcV9Xa7Zlk0fzJz3nKwansl0PqVKGuexDUWewL0kvlLBuJlPelSw+9E0snLBXx+kh5sJiDkZZpcgOSbZlpo0LV/gLy/ywnkTpiKbsc+l8pDpu0hUNnErPSI7O48puyOPAUf0LuCT9Lvu5iFB6GI75dUpvCEfsf/kv/wX/3//3/+GHf/iH8ZM/+ZP4pV/6JXzoQx/CO97xDnzmZ34mvviLvxhf93Vfh0/6pE9a1vF//+//xbd927fhfe97H372Z38WL7zwAj7rsz4LX/3VX40//sf/eN+tvk7/43/8D3zbt30b3v/+9+MDH/gA3v72t+N3/s7fia/92q/FH/yDf/C17vKrSye0E5hGQJe0w5dlTT89KBeMhXabpBsx4yOlL79iBktlx+lX9forBmTG+GDKVHlmrNMKWVQsTR9VCHDXhI6d0I0wp/oppFEIzdCbEgXk3PtxN5+EtfxucBYCvJ1OVL8Dd9VHAB6mzk9CJNhF48kClfa7GbYyFFOJAszvEtvmd7aD0OpjI1B2CjvNiqLtZHPFRtupYxsrX0gcZdUcm4Sr0D/b/cyKnClJ1rb1zWjW7r7k3dJu5DYK3C6NevTUTte2k0aGh/a530mEZ+unkHQoEH5Kqzr90WnGF5JZuUvCwWm1n9KUM80hqy8b4SRQBUTHBIPfUWrPCC/tSKe0U2X9xLMb7z0Mji2CeB7aAenJaauDeYbfEbmfOs1aKEjGHQtzjH4FZxI5AwzvTHea2s44BTB2Jm8IJ0h5V/t2EezQcZp7R7/jkwAU9LsOFbr3UGx3gO7A3T3iKXKGQ1K/k4OV+8OLMfspljPH5WSQZ7qyfhpd9LHlI82ioBC6rYOnJ+10Y5vvttkjKlOtrtaYzxe7B9p302PsQKbECxly6bxY6f7XkJn6qLHPPm7S2lG0sdrOsY14+qAvfHT8+V22GHltfN1gpnbGImzi4wBk08bHaN63U9wyfvOcpO5xG0X12PnERDrpC+ZvVJeAZUeBi5TyScHWMHXQ3qGf2D5bneJzKii7/cSIXPrpcMNvf2ZzcZqzO8CROiwvw8FGO+MgzHGbSzT/QENh/CLwasNDOhFbtR0iHaTxCjyJYGE8Wwo4Yzjop3ScOKoCvIPR5TnkdSd+GcoGHJFeYLqGAyNNf0Ib+3iaDTDngYW8d+OaZY3lTTvkeZ5PC4+7OS/jonSQ1Wnh3mQh4zRzIpMvKnBdWZwvzNc9WKj66T7pJHtU4KFH7d12r2EOhLHuPFl5gU77XemmJ5tM7c+Ythot06mp89gdXC4y8u/UXmtHgX6y2scv8QweI9MdfWOaz7u08TDNxTg3JdTt9TLPOrDPBp2rwwUgnDRbhcp9llJayYejE65F4o0dHGXGnXd5DgBDBk5tx7yTUyHx4KwbDZ3Ylx6ndiZdlnmXDvu5PZYm3+xam94v66vxw6bfyqgTY15GZKHLcAV2cRsmbwqddKTFUIT5QptN+Hm5uESLl1kv5/Y9HHp2eGuCO/cRxvuzoOofXWfUHq3Hx68vzgPar6UA9FF7vl1aF/duczrv0FR3bzuf3grOTEXTg3PUjSW+iO9bFdm2mFFQn/p2Gu447ZEB9A6uQ2gv61e1rOYE1ycxj8+l1TT2/BF4nzNhntA48nBmOziNRdkeirxa1zE963CFuxmR3iPmzV2c9LBUN9vcPD9sTUIunbeRzhRsfNNXVMZ49ohg7HhayinSm7x+jj7D3TQ92B4yHD3SDK/lhPoqWoLVNxQK8VDqbUCazpUmA+MT6JHOCG+WV2VENeJ3hnsee0no4ZOjQAhXPCkcluz0fW/7yBkb1lU6vVtkrhx00GD10/ZClZgs3BRy2ns+afz+Yh0T51EBT4zDXTCFczbcZPwRYkr+AIwQsbckHbhwPirwzW4NV8V2ZZdvc3/yush2lnDiHIg0FPRnHbjK9pP1ke2j8IrnvuFD4bYnnwYNNEw8Jm/kDSdIldpQzPSVnmXnkdWr9J374fPb4DAcHszf0LzRZ5enbM/ltdYydfhLvMPGJEYXHOM1xmTaYJf6GSJv5HXqPAWq36m+0AaXqZ6tUpYhBb9rn+PFEJMSn7Fc7nWr1bOAvdIfWdy3sUtthw0G84C5fyH15SouqB+gdsx+tDDQOerKBD/xA05hXQv1u8gfLNKMvSw6UIVGTvUFHnRts+HHIb0hHLF/9+/+XXznd36n/37++efxwgsv4Fd/9VfxQz/0Q/ihH/oh/PW//tfxvd/7vfi8z/u8qfwP//AP44u+6IvwK7/yKwCAt73tbfjwhz+MH/zBH8QP/uAP4l/8i3+B7/3e78Xjx4/L9r/v+74PX/mVX4mPfvSjAIB3vOMd+NVf/VW8//3vx/vf/358zdd8Df7O3/k7V525H/e0YqY8yVEww6P0EJok5jKVFWKsFQwE4xRagpVMrJWoiYGBHNK39CPhr9zdvSpKO7wDSCul51q1+bQyM66KeYPyaUKFKqa7zoDjvpX1dk5NitG18q5w3EhHKoghbjJNF32+mnodQVAnOKv8ASbrLyuYPa/Dar9vFWa3wp4f3YDLLLRECzQSLV2tbx/0E5Q2Hudb+sSKeaXcKLWRlCVvNhseC6E9jGcpx2VtgMa+ufIkFIL9gTSYeZg9u4r8Qok5zGs0CvCa3NgwYWGWzLFnjihpOfNYAAgOXe8Hr0glBf1W+g8LF0fdUwSDvFo0nJIzzJSP+8aLaPbM76Md9ZRj/ZBxo3GYDIHEP5a4W8n26t2NPIjhk/gzfkl9ER3X3a4S851goE75rnMfrys79Aw2biOF0moVLCp+gG5zZKyWxkSWUyzLHjg21bOVDCgXA46Mooe2fZQk6jsemSQ5Th/Uvhj/Lpf7Y/ZFhpWBGY1o+Lx5iHytYK7GP8Cw2oFb0QY9WxrKlGeC/8Am8FcPMTyv6XWZl0j8LPGWdC0YTDcI2am+fIL4WbqeMr/kV2YDrWjzKN0yDIWcLEFk+ajz82VexHmznLcr3ky2g2wynLE3pEoulHyob0Su7M1yAfnWlJ2wk6dwnmMVfIc6CWq4q7R0dJITdqq/82TdujVvmy3YdpEDtFT1FvXfkmyjiIHMesiRWA9h7hP/NLyFTShAWVnmpZW8qmwcKZ7flK7pKvzOvfZ4uN5wi41zC5+wtg94wup3qJf6dXRSWhQtfDbrPZIqkRHrwm3kW1e8vaHid9LNy7WN1yqxPtMnnHQDjp2ILd/gOc6rhcJSmuFwbYzpGdt+VRdLdLKg4HlSZdaY/0HrN6nsBNum2MwRbBtG+lhNmwBwLM8CvOk9bxaoAX7Kd6v8HX5bY51QMFBft6Wx/5LzWPnDgUfcPExllrJGccyivI4keLmQFHkO6lquMz3tfNWaTpYw3NDOIc7sdw5tnHhQLNBf2ca2V6GT542bGb5S5h28r9a2K2en5820mKsz3Byk5Vgf0MjV5w/QXUJ6NTaSlaW2DZabQLnS31vKNjgejrNr6VXNydc43bpX5mOa3vve9+Lbv/3b8R/+w3/Ar/3ar+Gll17Chz70IXz4wx/G3//7fx+/6Tf9JvzyL/8yvvzLvxwf/OAHQ9kPfvCD+JIv+RL8yq/8Cj7zMz8T//k//2d8+MMfxosvvoi/8Tf+Bh49eoR//a//Nf7sn/2zZdv/83/+T/yhP/SH8NGPfhSf//mfj5/4iZ/ABz/4QXzwgx/EN37jNwIA/t7f+3v49m//9o81Gh6c5NJ28otqu8+Sd86gMbR2cbb63S+2eDadVrUda1mx3dDqLqSZaGtb+h2s9pvbkAs8ZjwUvuPTT3FivPO6dsV20XgyrOp/FlBCTJwYgAp8V1dQJK15Ef8DAOza7rgwPO0KOe++28dPmuzaTij4SdVUL91NGvBaKWS082ucjrN6pePU4ETEHYaSE/BNeAo4SqdjWdhtvbzBs5376Uc6TW0wtp2e7Y4x7VzNn++guwLi7ykJ/C7UwBhpfF0QdRzwYuWkMHW87Y8Fl+fs9LAp5gXtm/LS2/dxsFNDtIsx0+Q4QYxxEszmSncS7I8QT07bSUEaD+2n3O1e03IRzNqwMbY+m8OtO9/k0k49bk9kGEIdv/sJ2B/3u1G9/ylUzkWw3bdxtzFg54hog/HyfKtH+hhnwYlt9GXM6wG/nar1OhNv2u+A/XG/4zfxLqOT7TLukPTF9VMr6zi9A/Suwbo/buOx36nfHZqVON205wf0kbYdtv3kb7h31vDH42hzUwdc4ZSX9jHop3+3dCo6GGu9ju0e4wSRjPq2s2C7l0ZLTJ82/vet7PYE/l0oZLGdfAxzncoYjYqOsQqGldFWVujtr4///lhxeU6hj8Y75lNBySyUZh+bk7ZxDc4fzCdzC57g3/vYyL34HNnuB+3KnWJ7tON0t2Prje8XgV4KVUk6TWw6Tm32584PyJm43w265O8AQsQKo2G9G3Tuc7eXazTc/4wmhcbyMu7S5Lnlc+8+/T0BTi8LTi+PO5KD45z4vjvz065uYRrRgQPeCR/krI52XE5TPdae0/BlyCinZ+JJUTZR/y9Un9Gl4b7zKacNhoPkoNEp8yifQ5fB35w0TO9SKpv0Lq87yzX+Q8QR92/Md9NJ2p/13eeW9lOb9zoMZGszydP8juEQVa8ny3GLvLKfpN97J6G+PK/DmPcNbcYLfWMey2PWTZMc0Iwv7oqSDnOhMZIG634nft/7vAAqEd+XNqbbuf2d7tuf6w+9L04/NA9ZrwowE37cwM1j3NuVC7UVkBnxmh0AkwNC+rjbOCWd0mjZeE7DzQizpZ0+GFZvy+DYgP2R4PJYpnvaGRZhPJ0b/arE9rZLtwc0tQ+Aw9TefPLjWWrztbJNgGHHeWbA7TN6N52wt3dZD8xzk3Rr/1tsHgl8PdM5w250SDxw6CqRWTnfMHvqFPld4y399yZpDkVeydEd0PNzGjQrAV+M08nm9nfj+bRoyqdVJb53HCR5aOUmfDI/TbIwy4l4J3saM0XgDfbc7RLLvsGj8eSkYu+bjh50nrvOs05jDAOvoz60qCeEGx477xeVTe9dXvc2R9uDb1qe/SThz6LVZPmkpnfY36nGvdMMPeP+Budt7ovZkvxXlQ3Muo+TtXmn5ak8s40sc4t01etleKjeTNcrZ9Qk4zHymi0+pd5fr4PpOvCE1KbJZ47GYs+R8CmI8+gsLcoQ0OwOHmsvo4N+TkQDhhOMZwHmLKszbKT/TPSV8MvykG33cA2PNkBClBhrY5fWV/sjW8l/9whFbkOcTY6L/4V1IMY/aMyRfqujsdkC5zR+Dr84X7E1iGCTVnoS4WLkHcBJxY4Zvxcqu2OCaTspHj93j0ePLjiddmx3xOcUkEsKy8uNcT/y9FNM8Id+JpxW65x5jmQZMPEW0FwyGnGakQnfY36A/tp8aetD1KG0lhVgTjjNTueoOyDSVig4cLKRLR50GaonbzIIJ3H72BuND2Aw5mYej4zDQu5MKY1D4GdVSvrBuFaG6gPJNirjTRZ0yG2HNelu/4xoS8zIF/BxPudPhd1J9eRNSiuc5XXBbMeGd9yPRDOjrwRnBqsagxQRZepHnsME15jPo+IxbnJs24b3LMvTlYa0OW9a5wxzarQz6ZJiNjKHWh7f2U/Bdn9YK+e5ULQ/JRqjWZZp6E9lH3Abs2580O7rlN4QputXfdVX4eu//uvxuZ/7ufjET/xEf/62t70NX/VVX4V/9I/+EQDgF3/xF/G+970vlP2rf/Wv4v/8n/+DF154Ad/3fd+Hz/mczwEAPH78GH/6T/9pfNM3fRMA4Lu/+7vxkz/5k1Pb3/iN34gXX3wR73rXu/C+970P7373u73tb/qmb8LXfu3XAgC+5Vu+Bb/2a7/2mvf9VaWCQU/MgplsISRWqWQ61+DgMiQYsmE/7QLOAnghGK6CsRRuB529ERds/AaFSDEpD+wIn4GsAB/tjO+Mr9S3irlgwHLL2I1FtQRjUvjYOW9K2JSnKJ8dShWj5L5MAifnLZTEMrFM6kZSeMZtsPKSlJ+yX/l7YvQrvE+LhISLysE4OaSSwFkqCbTYkY1MrzM7jVRKuCeF2PIRLxkKjiznaGUk8vdVfyrHxVIpSfRVLl6wwXzS2ekfOg/H1RgPneqc6Aoox21WohA3zWTaWv3ObbDhSkYDO5+2bgTZ52RopIWKYAwnOAJv8TKkiPJkoLHwxbWMm0JexPfFAOXxn7SvAvZcnuilLUIQ/YpC+h/QWKvu0kLmFTwp0GZOzNeByeHHf1mZzDyxNEqYb6QFqSP8ZmN9y4bwqj+IuMt4XtJTBceBjMp8LshYqveqjpBlT8LtxGcXcEzw25+/P7jPveg7G80yLagvAEptjs8RrrEyLsf3pINlWgSNPdFTSBVdEXy82LvC7TQvs6G44gmpb4f6UIK50WU03gIPT3Kc4Rr1EJ7znyaaSu1PixGF3JgXykefQ7tJFixx4nXWiJngDU41bkeWdVxLS33G4M/ju1eEhTXNYcbHs3Q9hbl/Y3qqEw5H9dtU4IX4VaxX/l2AkRdl+Pl0EiDrUKwfAsvFwcNFoypfd4Y+KB3QeZ2fZMdRnbemp5lD18qs9LFCX2bVMeg+25y/dEoi4uLWMZtAznpXqnOqN+tzORV8WQt4D+Ep6lm9v6bX1JX0P1nfc+6p6n9R34PXkF6rvHnKL3hGWdeBHsFlZ3rWSC/99018NrO9KzrptTzX8LPEh008c84qmm3Ejtp9dI03/86OXPpb2AtX4b+m3+cyTyGiYh23Mnn0vsjUrkg7EbttaXcoYr4lrFTfTbhK9LVcZ0t1V79X3Z/WASq7qNOOO6mTkzzDVtmoq7WgW/tS9T3P80OcVu8qHeRKPaUNUORZrhks2jz8XqSb+W8xPkF3qfhF4eg/bCLbEES3eSNSkGcPkGMVTquxOKQzTXroA3F4lB4kD73QA/SYa05xy5aH4mn55g3RVV5Vcp0k6dWHZW4ZiIP59zqlN4Qj9lr63M/9XP/+v//3/w7v/sE/+AcAgD/8h/8wPv3TP30q+2f+zJ/B2972NlwuF/zjf/yPw7sXX3wR3/M93wMA+Lqv+7rgBLb0F//iXwQAfOhDH8K//Jf/8tV047VPBaPSI0a2EsQLQeHN9FC3+6O+M9ROm/FpiuKUIStmefe05Wt1Yz5hhvQ7GzvFZDKG0mDk3augEwAIC0TVQhErGrzIJorpfrHgiKOFzLa4rgGu0cDIw/1jA3A/CS6PGm7H6WDGG+qUcNJOfSDsfg9CVEhJ5sVc+0zjaqdLtnM/cflEsD3ZsL2y9V2Rkna5pR2XQHfKyOQMY+fbtEPb4JHxO+CO8l8eC3Y7fddPoPgJtDsEGvAT3zT2Y8E+nVLK44eISzU4acFU9nYv5+kJ4ZZphnBtp4L49KHn3/rp0MeYHDqNLvsuym3sxs1Op0YQQifXBk2wsWWnduIics/fd3XzGLijhMeR58RKEc0nxJgGDRf3o24xOLPxkMY//D71O2y7zeTja+8eK/bH2pyzNsbmdCOD2vB/eV6xP9fK2OnM4IDIu/IxxtL5iDlKfZch/GSqw/xonHqcTgAYfZ4APfU7iC4yxs9OxJ6ZEYwTsEZfvovZ/i6Ic1/hO5LdEXAe5XjXq897o30a/+BEIF4iBK+dHlejR+3w3Fvd1Eejtx1jx+2l79SueKNtyDC8FzJPdgEugD454fLkhFdeeoQXP/ocnrz8CPrkBNxLu4v9LNGxTLJhEKVVOvpiuPO+7gjz9FYHTN7d63lo44UK/DSE4TuMMc2hMA+RYDF4dmB7pf/Z/bFZTjAuE9/y8eZ8mT54Th9skgj4Ypm9R9z6zn+WdwleHxP7u8xjohviKWybr7QrWmnHKBsPwclp5Qjvo76+y/gydho77vMfxmeDTyJfSPWbo9hlWf8dkUq4oUgLrOOxnuenkugkWXaMhsVry+OnzsafEp6DTOU5xFUrwhhl+vFTnEGmtJf7Xddfky7UxqvD5EBr+JOE2/BHsJzum642RbbgsUr92ukEMffb+rJbPfTM8JTnIS9wsSMq42NaIxT46eCQKkeWjRfhgPsU5PclFa9w6DJTwniNE7tw+h4bjjTUk3H6LBUpnfr0xLIHQD69mU8zHKb83qYa15c2/TjvNtqkU7LT77zplGSZZLrP9lcmbafBgZfS4Ux35I15LIGnDlwZr9dApxmHccObln8Taq/Qdz7dY312fYlwI92mnNtYn5Qedrcg8DOWwz6GcYNXJcM8ktIG+B3aSW5Oc7qCh3VjylfqJ8zzGWbXV1r/LbJDsNX5z+QghSEOkXImvCZeVfWtSkm39M3FVK+3z7CWQBB95j+fk7QxV644ZQUOnFj9FM2kyq9pbCvZwe9W6xzBkUMnTwdcBU6Yz/Gc6J/hSps8VpRU4LYHuk0CjLEZ9p8O2Q3qu6S67DfBww6kKcpZNU8qXljBnecqn1q8yLAT+gnY0yuC7ZUNpycjwpL0P7cj7QSsRWF6Yt9l2IluwyHYvtN8NtgNB3nu8TvLm/863sbY6xhze+08pz9UWqeyMTC73G1GQt5FgAvgzlgBpNcnGfk2Twx+1tHccbnoixbjXdBRHOg4tx1Phl+jFZ4jKz7LcBJe4nqREC0hjDHXfbjWmtaf4gYtwg3i8/Cb1hNszcLXtojHbRyNjeXDArcZlysdaJI3qzmY+2V5i3FbtcNrtSzf23uid9abUnsuowP/tzIDprkTBC9HgzI4HE4WsvGP18hCNJLihOm0Vk948Dxe12gvri3Lcs6sxstoNcvIVqhVZJGoVmOWbazwrkf+5D5muy3jYuhXHPEk/ub6As4WNLVySo4+R3vxiDZDvWl9N9Sb68k6AdFJVW7gK+GvuOojtiMkF27rx8cjvSkcsT/wAz/g3z/jMz7Dv//ET/wEfvZnfxYA8Pt//+8vy77tbW/DF37hFwIA3v/+94d3P/iDP4iXXnrpsPxv+S2/Bb/tt/22svwbIZkxGHbbM0MLmRd/VWLFR43RdWemhTbzBcsYblByaCiu076ysXmgVORJf3XhRTpj51CvW3LGnmSEkUqhpALMGT/7MK4nJYCPvKd+Wj8yQyhhNzRyiL+gUOWGF7BiKKK7hZYmmEJILSTYCobueXb0cDXtc+thalzRZuUsO2HN2cI0ulAws/FULaaIahQ2JuC7wxWAK5wsqKcTZVlYrRTg/t4cMVY/K7UTrHt0XhhOw7gx3snoCmOyoYXW5dOcLLzdmIQ7iRRzG024UkgZa9ffIaS8sJuFe6UgT0Zv9Y7gd2GbnCXBaGP4kwAPC7p8BxOFRMwbPbR3WE89RPEGWIjbSUHoOG2hjdVDwzI9BQcOOXK8H9wHch4Eo49ptWiDx9sA9XFgg26XdZtmjJhDlhyqcQE/wmnv3IghmLMR5SmNJdI8CXAxynn8uV6DbU/5Uh5u22khjYX3yRo2/F0Eer9hf+WEy8t30FdO3eiWEJZsWvgj2uI2+d2EM1AdNI+nhUvGo9VRhXknvjPNUwuHXsjlvJjn8BBtsRNXMm2kvrNBFkPKYE7EuwIMGb+JZ4R8VM+0iJXwV8Hpxvllbncy8EB0Z/yQ5udqEd2M4kBzNKaMW8ZnNoDKRQMQfWf+zY5dJFxzvsoBwHIYGHpf2oQXxjh3WyKOJid7IQdYluU5FMpZmzyuAnKqjHeiiE5aifdjrwz8peGZZZjzl+6ITWGavI3MMxzm2Ed2TnI97PieFtpWc4ybct6SMgqFIe5wDFpcVFrpR1SWw3WXiwHkkGfZZs5bLfBbln+WnjpVC1/XC/Ui13afr+pckdNK7mVZF+ZnrCzTyE2LRkZnaTWkWqAKi8mr/pmduM/6ZOWQneZtwecmkNM8mORcAT/zirDYV+gDKrLk53nBNNtPK8dr+G59Yzw+cCpnp96cIX2m59nm9ZT4jrVVOhRy3iTbc53HHVq/yvZvHtsMz9L+OtDDyvFZgVrh3fk+IWTVp4fwhlUdWX4X83WFL3+ddYei/KSvUPut/BBQ0yJymkQVDMGmS/Mm2GLX6COL9JXeYu3YT+Yb+7zhNWy4pT9fR2Ab0NaAwkb8ccUDVJY6KOOH9VieV/51NXfTeC7nQX7P6DE6tj96BjD/TPSdxzYw36L5Xkepb2Z4F/RbPSvbWaTD8pVcyvTodEsyKNviCwCynXYou+n74f3kGbZcd+pDRRe34PRQz17x2EVajc8SH0t5ppSXbLkFPLNtrOBNpw1v6QqCfa7H2qjelRvKeP1Voh9hKSeLCEXx/YIuiudBV7lV3hB+Qh1IutStKdN7vrbiqFym2yQzBmAy4XJl596cHhDppdn0cn0+FfpG1remvBkmThWthHWNZjfeNM8/Tunu9QZglV555RV84AMfwPve9z6/q/W3/tbfii/90i/1PD/yIz/i39/znvcs63rPe96Df/Wv/hV+7Md+LDx/SPkf//Efx4/+6I8+uB85/eIv/iJ+6Zd+6UFlfuqnfupqHr+7BdonuY7JuVIkJ8UBk2KRY8uHU5mXory/0/BMVKEVhz1SLs2QleFMnBawi7qWcd4FY5LewEym3a3F/T+BqUPbor0r4UWf+rA4flDnm2ARav8m5Uvbyb483jTGY5FsZthepON7O7c+ycmeCTYL6Wu7Pt3JI9OpKW+fnSo5FB0Lxmxkpk/ZAFUS3DrnFx4HylMJoAnOlHyheIMrm1cV/V6XpjrbQm0vlumEYMjvtvtojUzOY6pD+rxXmv9LQzS3rYO2g2EphUJbLSRZNTZOQN9QMHbh8ykiLcqHhYVCAeXFJggo7DA5MPluOjKO1ZyubvRJ74dEPO2ISOuw6KkhVe8U2h1zk3K0wjn39YDe0MELTvd8GlCl8RyqwxyVxpudR+e5yAp4oayJ1SkDllBuB7ABcgaUTwduDZ8q6hsxbHd4ZWCGHf7U5zCfM262eNURAGx9IcBPonUYzSHvc4HQpdSm75o9S58zvcd9caHJNIl4NFzTYoTLJ5t/hjj7riOPO6fznE/4CXJmi/kBzIsWzEc50TvjSezYtramYkpw5f5w3R3HG9qn87j+TgwvaDJHoLWc3ADdUxmmO+Zvdjow8z+gnHvSYfNXeZ7m+WB6TiE7bG5Ghx5tiqM2W/7IK1jWLY2C3G7i0dOmMEl5E61kZ6c3k+FGfB/5j0Q+lEEmXmS4OTJ6eBHV5yXzM9Q0yM5b7q9tBPT2ee7Zb6rHyrb27Y7XiAvXv8pNeCkPlXdean0oEUD0WmyNDQtWu/oYX1sgPlq4M9oZC58COyDC9a2csbGeDHBsO9PnNQPY8D/uH2t4N7lgjvS54HG9b6b0sbITLUWZUcx9YNbPw5ga0R+3ExbBKl3oBvim+lI92bZkOXNLch4OwoXJWREoFLKJO1ZDGYZl13h6FjbnG9GOTblDCSltYiG89TaWcnnFqxb9XNXhm0npbtDs6Mz8JvAAK995nNXnzgxbHDcnDzB4nTlsuj40nDYoFvXpk/i496PquNR0w3gJ+kLSCVZyjss7HhI/HGMU4YkVLCo2mVjoP15PgjnUmevNONRI04DV3xfHSVlWow3qV2VL+P2ppE/pjmYH2phRpKCJrg1XWZ6xzkTtLWWcpDys32G0y82HU1puP6rblna3McvpQTNdiIv6dJSL+OavzYS8dPo/J5g3zDZk1S/GB+HHU8JbtkG8oq4jqZAoJfkfTtj132PdJtVnczvNzaFTDRS1L9LpQEObuhGI+RQz90nRbM9CV9HeP7vj3tM2yvp0TPP0qmNC0W1bNLvb5qfIqEoFl8vmf7pLD+8sg647/WjlXCec66jS0ZZ5UTkfgjxL9VPFPE+u9nuh5032hj032HZ6wPyLykx0lfhKhlsqm2fHWBRIc9yzEY1mnl3pq0znvtfCMlX4WKXU5rSGUOEw88AMc5FWehzzwmmOA5gih4RKUx+2xTj1d1bvpNdYnlOEN8vx8Y7hl/hJecac73OS6vG19v7c+Tb1KeA00cCkg9Ihj2YPk/xc2CNxXWIxNsW7uW2COcMO1HTDNhTXwdUuZKjZXAH2tPE12MsoeE4Rjnrwydgne8aRkXSbo48KUM5Vm8Pz2sOVSWoy+XVObzhH7PPPP49XXnllev75n//5+Cf/5J/gueee82e/8Au/4N8/9VM/dVmnvfvQhz6Ej3zkI3jb294Wyr/zne/ECy+8cLU8t/e06W/+zb/p99a+qrRgkIq+ON+FfDjRkE9/AkFZabveIjOz0w8WJgoYTKK897VQaHwRDMkZmwRCgGVHa29HO8FKi+ueNyvrFn6hqC8ohgafGc6bAJcIdFvAl95PLFNQ6BUtLEnnFnpHeCEYh7IpyAvv1nZsxJhMV6AnhSi1gc43zSq2tqQQMBKFY1DeFeOExy7jtKnveOyGxmPtxnxzvGz3iCFAiVZb+yN8VjCaDpzs2QkVnIQJdi4TFnBRCDhLexsbHpPs7DPjzE4EKlDmnWArYHRnLJ+EIRzsghAu153bQvh2OpgR5kbWhuCMZeIJQtrhq4WShfdtNEGwpvysrGp3woo0moE56OzdJu0+TjNI0vj7HN/juDldycizn9p8tZC+FrbXjWur1+7IdaVRxqfRyqZtZ3ClDBkdbB2AXRHCeaX8JY3SX14oMFy4fiGxHt2A/c7uK2wvmkOiVWRzcMJp6oPxAV+ES1ms7ZVzTrkNQ8UdvRNxPqB3jZ69UonhsyfnIfGEFU71rr+kU/fbWXDp4cCYl+yPNCh7zfkvAz8KSCdcuUc7/ZrGKAwIya3NFharkMdDFDjcPCbVya/KEaP+b8Dk6CD4jNY3Cp2b5QuPl9WzXZJcBOWxLhdwlbxXgb0bO250W/+sfZfF0hd+EecCGt8y8eWsixZ722K5RBKJwxz40OQUZB6T6gj4zXzHssnAt42/G4Yiw4lheKbxz5vUgi5Tja3B0Y2hNmc10k/Gg+lC/ZTvRAd0OndEETBeGPOzA9RD1xJtwPrrY91f9pNhWq2SU18MPtNv8rwPePcF0Kbn7qfBy1qb7WO79DYCjAPuwJt1Rv80FzbpbYnrilmPYl3K27Jxz8536gvzjXK+EmCyR57SyrDSo9i67nzLBjvntbsOH0ya14FnpLbzvK364M+NNtyJpwi6K3/VBhMvwrjTKe1mzgtMvx7Sa2YnrlKFK3tGi9aefOwXi305EV/JvDbyVJujMx04Dfcy+10kZt9sLEDe/FLRfpBxWrxzOdXbhPpiU7WgUy6MZuf1bk7cBZ/e5g3KHNXlWpvcnzAPiQ+bzr2COSxmZZuZPw8Sy1Zh+mE9ypyzF8NxZ7x+DyWfnMPQY5PDwmgw2BoSYaiBXODK8MJ0anJbU1mui/llni+g30o8m8ozPfIiPVUfm1QiQ5ItV8ep0C0qOlCg6TJhw8s45VlHS5DQT8et47BvuCO4g75v5QkPrjJ5fRrlEH2v8AQeyxU+kkzzMuaI3ei7be7c1OW74SbUiVEH+liJ9noClmVe+yWYbW3BX2U+nOlyIpTRlNuSrIsomi0OHTzPn1ObKpG/2Lzk6yuE5mfWASTBbn3rPMJpwojRZAE5YYPzivoE7jbhwPIoBo+wJiQUopRoeKlHZLrftB0GMEdWf7nvG/ZdoBfpjthUj+HN5leTMKGd8CDN7zAPebyuJeZZVI8s+pzlZbBvfZKOZxUvyhsG8maDoLvd0ocAICKecl+IF7F8ADA2UjDdpLp5Hdn4t20GrGxl51n2OMsXgtHq8E1kzo8HMku+lvGUAHd9aREpJOg/2QFbyC/xKFHEwZIe5/Yi0dU8zkOXizbnoJurjrzQz7lvmZ0YLWgqV/GBLJt5zXG1Hi+AOw1zGjjVNX4L2h3rGzN80xoNHypjOaBU9UJXv4VfZJPdnlW/hegJSX/tGkCUEVn+BuBMrrRyq/Z5DRPaPV9cn86O3KqPb4T0hnPEvutd78LLL7+Mj3zkI3jxxRcBAL/39/5efNu3fRs+7dM+LeT98Ic/7N/f8pa3LOvkdx/+8IfdEWvlj8rye27vdU3M4LqxOhZ6BucZSkiePVYYpVHsZZxBRm4WdsUUZUNTmdnQIl/eWWPvBgOUdu+C5U2TMLQoXfm6VZqbwdydsRXTmfLzMfvEdNywY0UFs6C1frXPQqB4pr6bpTh270yN82IsapaJmfMkAObFAMOvj1dneh7i0uBVtJCdEsfTT+Tp+B12rWFW3HL4x6AwduFtcE2OeEG8k82edXiCgrgSjKskWOJ25YBDGttQj+VJMEx1aaLnhCPL46GI2YApHScNqVnhccXElcOiP/apGDtg2VCT8X46pQR6JqPL8WRAn0pa4I1hSPV76N6TBANlLCRgGo8270bbotJ2X+2k6Yg2gKrxNRwV73ghwfvGykrqU6argCeDO99/lGDxBQ+DyeAjR2nGDTsGGFb+FJrHOfUmPZ87GzDavjrPknEQePBiXjk7NAe6/e671dudQhruaFRzxF6EZEw3gHOfeSe444oHiPJYv5m+Em0c0XKgkYXzIhTjuZYVTJfV8V3oS2o/LGBoEjWFLJtSGqNs5Phvid+rPkS+MPcv00U4MbQCj6ZztQh+7Xe5WDs1gqkf/lUBkAEaHFqJ72t+zzD1etr3+T6ayVl34CgpNyJVsig5Y9l4nmTbQehaBYA0Vhl20zMqYRoWyF0HGHcexcwLUl2EfWJanY3kpHupQpzh9Xc2jkfzg2nfqu40MXRGBeuRXtzeGbDGbxjmkMeYUexMPX8SnPlZUb6UQZkWUrncp4lWUqivar7GRZLFPeAH8D9LRcq0a99n8nnV7Uwn2bON1+ez27EGT67KeOmC38a8iHpPAVepvzFsaBsFteeXvJE5O12vpCxP/Plic3FlUy4X0AgtQ9e7AT6igclRWNiE+Xd4RLRkNqXNVbP9BG3DnO7qd7B6SFO+lmWXSa6V4DNOsj6dvyPmC/YPZjoN5Yt2r9pwVE9l90WZQPWC8hwNYdIl8oJ42ff02074qZ125T4FBZ/a8XFJY5ThZf6ScHkTq+5lVNo8ZB6lnabiQjC1iwFPpfsFfdTowTbt+ve+YZSLSm+MeWXuc27u1HkbzP+jzUGX5TjLWaLrSlaXv4nOfM1ki89DH6i86ULTpmLebNtxnjdxBbvP9J20Xhdsib6etGVDyMoa7xa0TQFUB8OytE9s3GF0k66hAL3PdQHTXF0Or3Zn7w7gLNi3DarSHLEXgZ43Pw07onvkCpM+w7RrsBTvgIHvkuYqWVHw76uJeEuYS5XuwN/zvFhVLxgqa6WT3AIf89n+eVPfjtqoBr3gNZnfO20lXapc+wGmKItVeN2Kh60ikvhGuaOxv4KbUoblPHn9f0c87Zp8BJMTtpBNtzjKAm4XZZaJ5jMv81XyocLBklSu0FvWM66WJdHA8FXOWcs/0WEqs/Qz3Jgav4xbRrh9xunUDkeHWvFsTqncDIz0bJpkjMKjLWDg7mn6+/FObzhH7M/8zM/491/8xV/EP/yH/xDf8i3fgve+9734hm/4BnzzN3/z6wfcGyzJrpCzjhCsABm46IqYxF36inhaAwXzFwynFgliICl4NLuXi3/ZAXDRyMRZATqlU2gyTmBsZzvdJg4XK37eH5V24kRnYRG6WCm5/Jt2utgJlibk2+kPuaQQNRsvrDV8aK8s3IXbP0fIURuEuMPXTnT4qZsA/DgVY30xJlkp7WJciZV0jHG3S8P9lCIpXTtMyDb4Tq/IOGXTaWw7p992J2rvq1yA0yv9dIwZOiRMB05k4JsErkqjYXeMKCana8ATje0wMOIzDtnqY0O0OC2IknI4GeGpP2zUcZoM/UJZnTYpcCiIu1E3AN9Bvt+NnboOT267wyf9jk89tZO1AOaQq9xnJ8j2bLvE/Ozc5LAfpojJZfAM7MC+2/wZ5T0kUaYJRbxXmPvXHbD7nQyHm4x2zeBzR60gDmpQIszqobbZ2EwndZujMe5i9cXqE3yRwOsvdggGHpBAY362P+6nkSmPOcE5JJR2OP0EwTmOp+XZLjEfMOZCuFNX2vvtHGHKCy3m8ORTDLoBOI02XFaQxRmctzv8Pu8Qio7nC/P4vfEYYOTZTwDuBvz7HaDP7e3E5aPe0ZdPwL30nXZA2IAiYy44n8Hok4+xom080TYueqfAxQDDOH1Z3eFqaJscXO0zbFSR+MmnS21jzMbjZnMz70Q1GtlH3mmeUV6bx7wgwguu/CwsDGzj/k2vup8EcGM7y2ON8Po8SSdgwuIOBm8VGhvGFfMurbsaZQT3h8hBbPPVYjHfTify2Nhp7C3z9q4TtDbHBhsbG2dP+cQfAe+450UuqrfqX6af6Q7YLluDnjfhXiIPBsB6S0UnjY5kfOf+WXnVJou67Dc9dtrIY02dut7D91+nrsslP5jvgmG9yeEz4451iOyM5fZsQxzqZHX7CWIs7g5GwstCB3E5YjKX8C2IY+P96Z+2mOw0nScFy5CiD8DAy6QvF1F28hjHfhqPbuXaRlKqh+bA6EtsW+i0s9e7GohnqUzVQhlv+pODjQbhVCzrZV6YeMY200goq6M+W0DkxcR2KvXhg+unaRP8lR4z+IDNGZ6L4nqCIvEO69dFUz0EyBbpvLLR+OTvYZ/LsUh96JsSrd7I4wb/uGUBM2+Mdbs2nXQOfVHM/bu06bydmyzdev/45KkA3TYx2OE6TtA1vN/zyWx23Mz8MOGK+YrlM/2F9daijwBcVgV9yJEVYeB1As9isrIah/6sjJiySBzmN5xOCvSciUX8BKzDIiTi0ljOm+/hfc+nlktazeUsmg3rKjxlkw4T13mKiqlr07PiuTtebSMvhyQ2W6LCZXfSNp1dZr2WGla0yGhAs3lxFghHdzPaMTsXiM5H6n9Yz0lprFslepFBD0MvThG11Ohemr3HY8eOV2DYhF2OVyd7XR/JfMBkv7WbdHe7vshx4vIh1cX1YX4nXL/JgKxeGd0S7v2P9aGD+QmYLiLAuTlhVRSXDeOE/y7NPtSDk3MFf5v6QnkqHhtgq+QQ1RXWUrgNrlIQeRuL7AUfmuaeFm3mNnqlftgDA+9TlCnn1+mAglJdVh8KPFG7uY+T7Uj9cJIwetOIm5JOhGDKeKF3rMtXNMBrEQYDO1pDHwUuE5d8sEpVu3ZtXbCH7N1xWcflFuXotSttsr2Qdf/JviT4JI/Foq9Bb+h9cr7Un405qYAM+7+MjlW1VRyeCtfAFPPQ9bJTy3s0b/z5gubcP6BAOFHKkbrKSrlPc75QH28knupZt1GuI1LbjR+vmOFozHXpLW1MV6YNW8uL9TkMkENYP57pDeeI5fTJn/zJ+PN//s/jC7/wC/F5n/d5+Mt/+S/jve99L77kS74EAPD2t7/d8370ox/FO97xjrKej370o/6dy9h3fn9Unss+bfpTf+pP4Su/8isfVOanfuqn8OVf/uXjQVBgFpcOp4l67JRMht+KUXblMYSyxWD+N6dXS/ur8qZz8a7mygkCEsLpGYBpl1LMNAqxYCjBSTgvDbtXm1iYkEbijo4DgeRwBmE9FjDE+mD0sMFDkvriOvfHFCgyyjTVn5WtpSB3ZXhoWLk/U/+oHCujeTEiKEYhb2L0laCR9WdccJ67VgnXawI3K6G5wnza+rBcUvbWtIFxp0/1kgRfVgT9c6Wo9DHlkwZWbbi/weBb4NnujJ6NzAwvAs2FhQnOuwHqRuBQGKfFhf4ZFxC6wsZVJhwE+HizDObvXOaaYunwJOOgUnSEYA/GFYXDgWLcocl5Mg74d+BBPT/xAFeSEREaDOkFnidaKvoejOit3w10p8DjBoR0R7ZuCpy6A6UKy039yf03eP1TY3+vJi3AJ36h1l7u10onTXwwG4/eZoJfkfJxH6kOod9L3rSALxiZPOSZR15LlczOv49o4zVOFd8uUwHLrTqSyfFxV+n8vgHDgKV2q6ZW+RPPnvQll8M3gR/7caRGCdwQcnm5gL+WQ6OdXOao7TyHAaLVa2lF6xVPPKjzKPToUVot5DmryLpYBev08JaGb4Uw150Hsldn4/MaGME38ZE3YXpN7MSDdM0eHD/G16gfR6KYHLNPk1yPWAvWHIJ4gjOA3gjtITJnyafdtjhezFrZkFl2VHM/RIvKkRTwAH6RdAOhZ0teyvhjfe6ozaTTaKqDnRy2KdMVPj6BaTornYj18vxH6UieHurV1TPWc1Z2RGibK7tBF6hsiYeklfwlui4dFj4e8wRweK7IjAelBbGMhU+CMc9dn1/jvcrQRxheduCMRmowJpwn3PjGL7K3lJyZU0U30Mfh+lS/9gbSrkEKYX4JDQXIXvehPm7ZiO78M2+sQPxt87WyeYMtx5vgVrwswcphTLMdzDyg1Sk01hpxck23vZYkfRbixDYmtE2rg3Fmp10o6P0S/23XHdnnZEs+FG6aO7J6l3+n+XRzc5kHo6gTrMut67rWbnDIcv0811P/Jv6lC/2W+9Pzma78kDEobX05KJ7HiF/ZnGS4en1lhZl9rxpdMJAjeRXsIa6naofnfgVzMTeOnLA2BnENUbByAtrnSqY/yCbn+U99yDRxjbatLp8aitgHc4qi7tcE02qDYzGm0/Bcm98H12vMsFyB1xz+kJmOc1WDhYZ2b6L9G9K1sX+onf16pDe0I9bSe9/7XnzBF3wB/v2///f47u/+bnfEfsqnfIrn+fmf//mlI/bnf/7nAQDveMc7PCwxl/+1X/s1vPTSS8t7Yq08t/e06ZM/+ZPxyZ/8ya+6HgB9p/Ex9YrqOJ2IxhD95CE7FfcuObaWJ5xkmxpGX2hX/x0+ObHilfKUu+lB7fZ2tJ9sc5i5DgtvRHWHu1e7FB+KoHq5wAcqWGhHsf1GP+Fg98f6PbNIyrsiGOyGUwDNSQAZinnovOUfdQ2npobfy2QCkxUmqtsqUYI7GHP2Tsf9gVAAfTfzLuP0SsNB+ziREW2N+kZvOiko/QTcfmf3WbYx9ZPHdoq7OOXqQpxoxE4UWV94o4AJ7hx2c+sw77Tr1Wkt06opTgSP74bmNgVtrmn7PF3a873DY6f4ONSsKxan3lw6eT4pwzLe7XcDSD6RaDCB4MIFQA+P5P2j8K7BWdLv2cTe78AE/BR0OI2UFSsbqzPiolI69QYB9mLHvxLOpZ8Gz45eU+j2R6Ndr5d3OG8Id9mqAPrICD2WhaiHtMV5g+49BMfWQkj56TalO6z4hCEB7nePnuH3Rqqgnda05ui0pPeP+ujIEPjAtHbTpputz6nzGBPJNGBjQKcl3cjyOxwtj7ZdvAZPUkqr5IttfQwEnc6N/oyGzx3efqp7hGoaMsR2WmdlWHo9ugF618eG6RWjrf2RQp/bIc9f8LZ3vAxVwZNX7rDvG/Qt57Zr+aW+7f0y1gP9bJsSr2SaBSIu1PqgHlbP8FyupNC4eBU0NhvNl6lsKIRxgjnRjC92SszPxpfNyy3DyXyzl/HwzlwdjetkzCZeH2XhKCuKfoq4z+etyWeHqY/pRidNc/v+O50utr6yAZUXg4JcDfoI1dVPck0LcoRLkxUb1W3v9jvpeRU5AonNO3dAEh14/wOM0Vlp9Omns9JGsxzNxNGTHRxKf/zYohl4vaSvUB8Am5dNwHo16doG77vjTbDfdbZ7T7LH+sXwCeOn3WMa+VhqyzYmmqG4x/sRwyaKNLeOjG7XU2SccjXjmunL9C7XIzj0LtFTWHjwNkbj2XjNcj288zHsbZ0EHGWf6wxzkHmt0B/jI+UVRBiOjfX1q+zMYuesbUbwXdc9T+MHQx7e2tabMb2WdiInj9STeHZINE+nPIkfj4pjObYdp/vKctQG5ks5woECfvY80zOf6M0nDv1dBHji51xm4QD2UxQL/mB8hZ2wy8UhWsAy6Bqpj8nF/Jt5ofF904UmGLwf6V26Q3qVfFNHOJmMaRzDFUZINNLhlB3AWVtkqT7ebvfcA5AmA3jzpUXrYb60nREjuJDc474bCEqwuGwKuCBYM6/j71kXMxg1/ubvc+SqMVY52kt10shlQzG2oS2i4QoeTYQg3YYLV5z09y3CmAZcOB65LaWKqzWLTFbeFw02COujkmE2eQP4CTmP9rLT5OuswKJk8VpH0Inr6TxwYTpeOgWrd+NqE59rRhMboNXEZjy5o5JODUmTZxYtqNFDu+5AbbOCjnkc6BFJXnM/Eh0wHn28+59HVppsLxlOWJ5r3DdDPdm+blMk+g1oqVCVx4rtdXRbqp/U3iXyNp67N6sAXCbPm/59tzkq6raNPuq0S+sILrusor2HPz6LzzMDJm5o7KHXAb+2ZziecShbXBYI5U862xRtjZESePjczqS/5vJFYrtfCK8x0+J5bruPpcgMnwA+P+yBO+npNGTQP4xeGF/X0mAtI3uBSxdzUmfxeUp1hs70z6AfWP91yFYOAhvtlnhactIzkjyYIxXojONc5mAjnMGwCi8c9Eqb5wd2D1+zd9WZmmCOsuyA1gTIB82cp3qf+ivGV3FdzDL5YBUw2jjtsc9h/Cs+jllOhnf7/Kz9iCGEK/gr+xMw26toK+s/oa3Y/kSPYZzEy03jdYVXhKw8RqkuXmvSDNyqntc5LYKuvfHSp37qpwJou34tvec97/HvP/IjP7Isa+9++2//7eH5Q8t/1md91gMg/vikxuQE0y77zHzssRmU/D4oxDSB9/EsHN0/2E1dA5nqXijt4feVupa/ub5D5twd0v1erSpfqUQ+ZOKSwPPQW0V9yzoL5l7VDdT9nBjiA2BnJ7vBOJR0DUalK3A7eujp8Wft2gaAaeE+MfAsnKp+2bPJQOX+ZePgQEgHwz3RzmRcJOVX83fuR1Z4wuL2rHSW4HE9+4yjHPrbgA5hn2zKc3s0ppViHhYser1uwC1gZnwFg7jAL+9EDsaE7aDbxBf0xneJ4Ya3uc1pzFyBJXhWiDZn7EEWHwfjgVtuVyPNcf9OFGo8neQNYbKO6LWCKy1UZb5gDoagZLLyGZRH9T4OxX/M44qPhHYVE507jEl5zsZwPqkb6lzRHEB47KGCHylOj3a88Pgezz26h2wKEcV2UpzuduBkxJ/av8Yf85goxm5n/10pq+l7xh/jLMNzTQZJ8S63l9r1Rc5LgfOqjSJVGx94HvjvvJkr83TTQ6q+FrAv09Mo8dxU4lcl71+0U8kjLvsQQ26iw8JwzkZH1jEq/eyme2OZVx9ZBqXO1XUpFP3N+Cl0s0nOJ/p3pwDzA2WH9gGSEw+pDNtSTySn30pW5th8w4kxv2sZGA810T7YOKzmCbVzyNuUeD7X5cCkMb2FT1b1eH0JTn51UG/D/3w/8rP0KtORrAIexFcBYHlqdkVfRdvXxnel6/D78C7pGQ+1hSKMdcFrC86rFBZBbS5OlafPp0gr+DKuJ13wAWnS54i3sI7q+k4/AevfWY9l+5JkwdWTsJVtWMnwSvbQ5yQT+PvRnDmQaVM7FWwp/9PS1RKISUcZ9spkT99Uf692xZe53iC7JeSZ8sv8PYxbtimxyLMae8GwJ7MtOeUn55zZDQUsES8pFG2qWCs4F3oS59f0V+mrrn9v8X3oVh4D0Ly0cUp2XWVDTDYalfW5nv943Yjbsr/Qdh3S19Y0bk5X5hkAj6a036E54+8UelLgNN6tbHOG30/277YOI8PcrOxDhvFap1bvC552tHa2TIVsXMqIRA+Z/z845fkOzPMf1jepeX1R58ckvdb1vlpev9Cnx1gpsi35UF262kh+aCeCdEC2ebLd85R6zU1r5wwDav0h86dR7uEwHZVZ2bs3yfmH6qx9vFfppn5WY3VDfaPim4rW7b6W+Vd89Q0Slhh4k5yIBYCf/umfBhDDA7/73e/Gp33ap+Fnf/Zn8f3f//1lKKcXX3wRP/ADPwAA+H2/7/eFd1/wBV+AF154AS+99BK+//u/H7/7d//uqfz/+l//Cz/+4z9eln89E4c08cUNTgpIfqgolF6p3+X2ip1S+WJwm4wrA8adwP05O/v8rrLUl2nnqAvfweB9B0ROyjBJnJAaPtCO2GvZDxde3Abvyu2nLsTKZMeu1ZdO7wbn0DUljPIvmajI1D8TLq6kW3teBr4rdoTCUv+cnPnaFU1R7Gj7bsKJnz5+Y5eqhrIq43E+Peb49vokKPYOssLvlgtwpV2cviN0pzb3RC/ZiJZZuQiLkFY20aWdHNO9bxS0eggnfg8Gn5yRXj+dWg/wEIzCstXwR/OptZm15lSHGQx93rR6JPRxO0uDh2mnA2B36bChBY1jYScjYawh4yr1CcBw2oDqNURmxRwD33Fhm54lJ1Fz4NLOqUAr0nfmU0d2QM5MfxJ2A6+iBTS42j0xQieOGYdW0E6HhtQRYvdLh3tbx/HNlq2PGzvyJmce7eYdQNJXxhnP/8xrpOCNZBD5VCdeud/BT74ZvYYT1gpsaqdndNTL84/qFEHbeYzRht3XdHnL3hywbznjhbe8gsd3Z7z18RNc9g3nywmXffOTsQDarnRR2Eb7sTggAz8b3LAOeKt2DleJ5ljgK1ksk75rtBJO5gu1J/2EPcN8GXXtfHc2jXs4dYkoQ6zeaSEzyaRpbKwNoonKqasCXB5HejS6kHsM3khty955HfUhLABssX4vR7+tTAj/ZuOd+0/9CfOafye9gKMW1Atd493gZ/McAoZcaSdpdTidCr2Lw4COkwRj/gKRZqtQo9lJIntvm/OkMSn1k6wfiMCmWC7bTmPH+2/1JH56OuuNO82XcApr68NCc5VPzYpSO4ryBNW0aKTA6m4ejWhBuCfS4TM4qH9Un7e7Dxpt98zN4zDJtIpW+TnxDgBNN800vqD3ppMsNiLureAhr1vwEeF3aWyl1639R5sbg6atbbGdzlkeUH2vevHvN2jKpxrD3cFZnxoZ4+dUKYacE2pDUx77PBqvxG9EFbgURFqkWX/nu+AxzXG/t5BPvhrcDGcltxUtIhJFRmpt9i9G13aK3usyB9jcp7HJL84JlRShIfAO4kn95H6Wg14mhHemG/eSnGvlrK5RGeuJ4y45ibAD4/7RTbGrYHsF4Q7LKXrH3k/AUtrOGPd+ux412md4GA8e7YlowXWrQtda2t+s23QYJ3rOp9G4nlR3lnFhPK/wr5CXNoIC8OhB1q/QWG6bPqsbOgIt2AMVcCQWt/GoPRU0p1Vq3uA1h1SQWxn/hl+Tk2b77Gi0u0f9x/quod/Ubsb3Bl9rypsJrS/u6OS6GHfU8RAxxvRVUzx6JQ7CjmZrky7vOutp6HIWtcbpaqfPPF7V+Emrb79LekouquhHTuF6cog2YnlYD9dxd/HQeagvtMYxA0bfrX88v4qNuKJNPo3GRttq/MX0vNxc0j+yLWDt4gTonbYT+ncKfb6FSpLOf/V+a7Ln0id7QYO+RkDwTw5MixSWeQ3zpDTGogVbWJzWD23RO17/C7Y/r7ckB3GmA5+nlc5rMDMbvkFUZ7jCGmXvpkdmTP2Z9Ad7znAx+0t641IfZl5dZlj8XszDVRKCN/CBfIcpFvM3zdGSrkjXmOhSiYYPks9jL0t0b+NWOWO1y2A5xoPXBaaHKLeYhrXiLyxDGITAq9EPB+X+xDbKFPDGkyTastzuyvZq4yyo7owNSRKhMr8q8Pkg26fTXOMtdHpWBv6jvTb7RriePL7ZXuZno9Jqwmj8tKw+HXSUUw1w8gng1wRHH+f0up+IvVwu7W6+g/Rv/+2/xX/6T/8JAPB7fs/v8ecigq/6qq8CAPzTf/pP8TM/8zNT2e/8zu/ERz7yEZxOJ/zRP/pHw7u3vvWt+IN/8A8CAL7ru74LH/zgB6fy3/qt3wqgOYBvvX/nY53K05WC2WnW0/I5nS5zJbXY5TK1FRiL9DwZyPSXFXDQMxMK1IdVmAw//SuxnrWyqUHx3e+kLTgybIgCwI21TdpfZtq0M9//Ljr+9mGgWjlTHqJhSKfNDB+LxG3l55nRBya6K/KC4Fw56PRhH4OkEI/6QLuXFdtFsZ1HSCk7ueLCPu2EDv3ZU/+F3yHgPZ+wbU6dVC+1l42xECbX2iL6mTYPFMKdF9PdWGOHHxt36dQmMOozHIKUgoCn9Odt52GzekjxnByQlginjV4FchZsZ6EdnKPe7T6GCRtGl/rJzjh/CUZJ/ZbmINLib7/r7+5auOH9Uf9+1z7tu7/rea2N/VT0lcdvQzeytBt/XaHg3arFHS5GY3KxgUZ0wCWWykapen80OH/z4r5uY9ct41XNaXwau3AdZ0STTo881zJdcShpjD4KKYLOdyXWXdLiNK/HnMzvYHCbYmrw7gOX/ncZO4cDrgp4fFexGj0CeG7H6S1nvOWtL+Odb3kJn/jCy3jh7r79Pb7H47szIDp0PVGnDafnxAOcnB1OgjHhZ+ARUREkoyGfAOeUDURfiKFFDntuYdsnvIDy58XF/t0XI4gXaMrj8yf9+bzOIe6seObvLPdSmDTnj14vyR/7nugx01hYlElzjPGZ+ajjbCUTk7yfDKakN3C/vLzpNFRnGCsdZYJBvgHtHsIxv4Lc29V5fggPleHPMOgo4/f18HUP4PbH9/1EPLZWI4PjkfET6CbNixDBhXWWoI8N/ASZznIu0yjBVJ5yyfzFn0c8VbTBi2UzL2wFhhPqmL7YIWNJMs0E/pyeFXAxPB7mm2i92qwz8QqeN15Wa5sjwM3zQ6axuLZrOettrlMXsquq741sZL9hUr7blHSBnFY2400p60aJ5panKAo9KbwmOrxGk9nuzHxwgrWSyzegwGG95WqbDKIC0658gq+0ZbzwFeCuzIe4oHZ98gSnp/Psoa+NzbtJzpmesWuz1/gEbPpze87LcPkoJ8N6R5IrQZctdK3y90GeW5wKlY5f0k+GqWr7CC4gyQ/MMi3pSuFd7tdiQ6mDwPy4yOq/dcjzSeZaXpKZ80sMOZd0gKyDjibjWE8nFgnXw46SaIOa7XgLu5sUXDR7Mm2YmBCV5HDkPymCEutfksaI9YGF/sPOZbYdWIfNtDPZkYl2vOush1X5c1/zH+kJtS056glrSBW95HYZ11XqeHY0ss5t9l+3ubfHF5we79ge7djutEVQOumImFXxFR0btYOTLf1NNm76W8u+0FShv6a+36IPGW2hwCWPZ16DWuH+AalcL05psq2u4OjmPt+q2jwk76r9lQyy16+B3trmjc40B4DtmtImuWUcu/5U6lpX+jfZAbemo/oE8BOfq35VdfA81IKec/GJ/8V1/6vr6ohlYuUPQUZRrcv6BMMCnpUdfJWvyGIMS3zfoii9BgR/LSoKfS9pjk4LP4gmP4bpdXfE/tzP/Rw++7M/G3/7b/9t/PRP/3Rwyv7cz/0c/spf+Sv4si/7MqgqPumTPgl/7s/9uVD+67/+6/Gud70LH/3oR/EH/sAfwA//8A8DAJ48eYLv+q7vwl/6S38JAPC1X/u1ePe73z21/83f/M1461vfig984AP40i/9Uvz3//7fAbSTtN/8zd+Mv/W3/hYA4Bu+4Rvwzne+82OCgwcnZyZaMtKhwI6QxbksgGjwKKJhxAuAsPxrZhycP0LtVH9AhLnDCvQ+Ccb9dEkIl6EyTclMC2Te5exY5l0xBYN0xrmr7y7215ck8HJxHXn4DkYV+CJquwtn9EESg8+Lxay4lYxD4CcxpgXcHhJYbUww6rAdzf6nmIySHKKYxy8vsLQFQI0Ov5XxVeEw0YZc+v3G2SHPhlXazQrMfXAax3ieQ/d4nSf67I7C4Ay7G+U4v/VVN+DyKDkIJZWh57WQjnnNsWuwyEWwXST0PztepsVin9sUYliaAzAIWx195b7bCdHtLNju6b7jKiVHHBvWvLDv/Ux35oLG0fsvAy53wJIDN4+b9csaHo7A9tAdnd0JCsU4cSG9TD8Fu5Ezc3LoI42v4ZJpnwZZBdgfK/bnyJktFfxEI4bTM8ZCVrWVHXEcfY4a/J0vbGdNTtDGj8ZGEq5w9NHplee89jl/0eD0Ven13vd5kZX1hcyQnTYGJLya4agn4PK84vIWxeVtO/a3n/HCJ7yMd37Ci/ikt7yET3z+Jbz90St4/nSPU78MWlWg+wbtO5vlIu3uH3MAn/vGhEvH8xm0cDhoITiCCd/TZhPmbdY3u/uIFiSzHEQav7yIw8720nju8NnmmNBOGsuAV5YPfX55vxQzbDY2xIf3O4zIADKeWz0AzVsb+77Rwu6mDzuCqY6Kx3m3hfBT8FKDK8hP5jdI9RMO5k1po82pvI0z62Y9T9g0kmnG5PXF5uaBgScRTu8L/wXckA7I/Lb3q30fV09k3YZxGow2CxXv7aAtchYWRbUIfDXEpP+IY8sLgtO6qDa49h55pDIyA+5YXurcP3coFngNSQzPc3vL/N3h7ifU+saYfKfhVCY9m+Yxt530iKBPO6Djb+ITTtt0NUAB3qSH9Z3ngW5Mx+1tuI2yyTwuVucp0WWVOrzTZqxnqU7Ov8wuKGxEzpv19MVcCPVQG1V9ccFdJ3rLsK7aKmFnWZbl1pW6Vajura47zoXBI44cUNdSpm0/aZrwJbTYahtsyxB0rKv1ucd/FT9nvEzOk+B00YA75jvZLmd9pelSGnSfzfSs+64nmr5yiTq38zemQW9fIn1a/hU/SHm9f6S3ljqH9dXwRnx3ZeMh0wXJXubJwR4CZr0QNB58ajHbxVU/u06YHdmOGx6rKq8CYaOqotmfZ4oQ5OPCFRWyOs8NGs/J1su2edi82zbT++9H0v7uBNrfhb9H/fkj8U290zjwGFpXEowRdhn8pXLGJrk67IieJbSt2E9ts/C04dZswjvSY0/0nO+3veN+JQcvg010trGtwzqV8ZBkbwznKG2E6c83mrscZrj6m/kK/I5otxcR2/Zxmegx6S7sEHU4Uojjjtv9Ttsm7+d36Fsu2N52j7e87RW85a0v4/HjM+4enXF67oLtuQtwt/f7fXXi9dcdMpRHxddwwsbkC+eJuOHkv3lNgMbmqjxNMjLYkYs+GS63S7QrMw+yeR42RVS6aMEjy7y83jOt1zV9lNsM8y/1IeDVAU71FnlXjvXK1tTc95ySTCgdXxTxYdp0luFHUQdsvBZOQJLjLFcy3Sw3gSHmmzZELfoedBF/aDYWE97o1/BlINGP6V/U/zxG3m60qUuHddk/Krdwuk5tA8W8SX0u20p99gqIVlxGycAX69xVE8w38xz3cSb4rlxFU9MSjW3VPusAALI+mmlissXDGMc2Ql4ar+Xm48Vp29c7vSFCE//X//pf8Sf/5J8EADx+/BjveMc78NJLL+HFF1/0PJ/+6Z+O7/me78G73vWuUPYTPuET8L73vQ9f9EVfhB/7sR/D53zO5+Dtb387Xn75Zdzf3wNoIYX/2l/7a2Xbn/7pn45/9s/+Gb7yK78SP/ADP4B3v/vd+IRP+AR85CMfweXSvA1f8zVfg7/wF/7Cx6LrrzpN4WO7gPWdgkxoXWBxqKYmxHW875/mQAQwFkd7+TyR8+IRMz2f++l3mbi+DDvVbf22vLYQu511MGmrMoV6CE5Ygs2dpStma0ppmsjVPUgu5MyAsBO4OyBQwl8Px1ww0RA6rAqrrOO3LaQ2ZZaMdW1OQXvn4+q4zPX0Px0hoiYH2dbL6xweeHLOMW83u4Xxnpyjo+/9y87jnOrOyhvjcItwc99D2ZxY+ZOBN+14srCfrBRYeB0xfN0BetJmLCSHlYdw4T4S/hm2sJDgv9vYbve9gDk+hMbU6knG73ZpDi6nZVCI0zSfIT2skQ6hLPdEAwRTKEd9xQ43FtGdW2ZQAwC6Mj85Jggv7DDI+HGD/a4ZRdtFGn67ceXKOkZ9Nv+13/kSkhZINGFuIblsIZuMPu06UTCcBZNT0tPWFwI2bQ7t8zzWjFPp3z2sb+YVFR1bGcWYQ650IRpPNC8CvQmNN4116FdatNC+aeXyuBGYtAhPbRGh4855bVi00n7y2OARiACXPrZCuFZpJ433t+zA3Y5Hb73H3aML/n+f+CH8P8+/iMfbBc9tZ+wQvHK5w04EpCrQywZ0x6ujcB+LB9JPiDNfKfGlNOZpXkgao4m+Cd9ZOc5OKE5Zdk0LcR02Nqw8Dxm9Qu0ERzcIz9uAlx2qAxgMx6PJuZNCVbBZOdtIwKf2bfNBp6u996NP3XhS1/gvqAzN40CXycHjKLH+9bqD/GNedofAx/1UgfEMqnYaI8NrXsBM83Q/ydioFMZLA11VqTwpyX3kvF2nsxB8hivGBycPSTy12cFhvYj66/Ojj9V+GvQ3V4Y4PkbDCUeTE5bqy87v2OdGiPsdjYXrFyn0br9KwhYAzHHIRr+3hRaW6WghebnoUqTQRqevLTscqjKWheZOREB6znX1/otNpAp/TLOZvkgXmsqmdsJGngQ365sm930MVEfVau+NaDMjHP0Z/OnGAXiWAj8YD0H0HF8GW2tL5bPO1OsPITv5OfGqW6MBBRtuqrTmaWXWbCtXbQX4YjuB9xHMFmoupHT6+NqCD/PaYEei4d1xpwQKy54VX7ihbV4EzXl5eJVwMAqs+2P2IhQtjOgOeBz6zMuV6EEQbF5FMf6SytnPtDi7kqnhuQa0D5wCUUcreJ8/rnSklIKcIH0ob1ZzeAxV5BzNG27KMc+y1XluK1DB4V0yuLpeB+3fUx5VjA23VEeW0UN/YwYRYW3zVwdfp/6J5c/zPM9Nq4v1qCCb2sd+F9sPzqDsvCfcljLeF54SPKyqKZq9kXV/62eCT3U0OnT0VmjDHApz/Nb4oOLvCbZwD/PKqa9pjNN8C3USnTjvKhkS1UvzZqP1CVNVXPfTpon5BmQd6M+4mObraXzPc1xPAO4UeLTj7vkzHj0+4x0vvAwA+MjLz+HS78fYZYNeNuh9D+UZGEZqLyeHR5DtgsnxmuZGaIfes5PB8YU0zJlGjmBLqXRg9k9vc8F3GJBMr2w35rYn9kq6otlgjnrBTFkSUXhd7tEck5Rf5/LGfye9APXvSW9nXCx4d2njZH6+apva8oiMhSzw6BXFWrjnX/CDcP2N6SSSnnNkpIPEdkOAMXRmwOR6/q5+a13IWsih9mPw3rwWnGl4WjcGhv13MO5LWmNUHOQJ+l+2exJNZZivoLnWEQr43Jcy0UwNOPuIqt95Dh2CwXS/yDiN7wquXRud+Hiv4T+yOz6e6XV3xH7Kp3wK/vk//+f4d//u3+E//sf/iF/4hV/AL//yL+N0OuHTPu3T8Dt+x+/Al33Zl+GP/JE/ghdeeKGs43f9rt+FH/3RH8W3fuu34n3vex9+7ud+Dm9961vxnve8B1/91V+NP/bH/hi2ba0lf/EXfzH+23/7b/jWb/1W/Jt/82/wgQ98AO985zvx2Z/92fgTf+JPePjiN0w6mnmVwpjKLY1REg6seFb3IXiRBZEfLZqFOrgNPqm3lDKL+kihK++OcaWWlLcDZiyKcfdP0Y8pLKDO76rdMgHk3udm7N3OEfJietutMyt5hwrYBHOHiRe0QThkJTA7FG8AXTe4YQcMWVONQ1Z2AiykxEy6cBZQrGjk+ipFssM50UNyiIZPIwM2xqwCdjokON2IsEcahWxwdgVcR0XI8gj1icGv8MiLOhmuofwX0p4Mg5K2lNq2vljegv1OdZgibe0c0G8wjKnf7OR7UOJx6vMoKE8FrBY6VhXtrhp7xfS8wtMuo45rsOaxTfNcit8rQyL0ZeEwyc4ScH2rOtMzXhBZsjbL43w/waAJNX1s9QTgpJA7xePnznh8d8aj7YKNgLnfT3j5coeXL3d4cj7h/nLyDRXelgLl/CT4Mg6ANK657BVeWBqQ9I77CkQecY2fB2dHrifDT+8qOp3WdXJZLejJ0nYw5hj8nfmCGH1vaLJfNYRGn+pYbAJhPaBCNOM/FM3tJJpnI8O/F2NfGfReP298qvqlN+gBimAAl4nl7LVdzcBtDoo0Rbktk1srRx3XwYZWWNjIuEVR7oZkukkwJrXfg5hg4asoGE7nW7fw5dWrBV8EBgmU/HdRV8UbplTNx2qRo8Cv3ckHxLk1OWarsv5DQ77SMUH0chTKKvc50ED3EsR5diOB/EZPrwZNxsOA2SFbtVO8Wy74H84lnX7n07fX6itPzi7KVwue2leAy3tvAUx3r5LtGFJ20G6tXJNLEvmO88TEnzWCH3rGDyp+kPkAn2Yp6giyrpSnqXyXYYYv15tYn9tbfypZZwuSAj3Wy6itWL5tBjvUgYtTXGr1YeA/8pxCB/IK6I/eT4uKMo+tUlnevOB2DDA2ejKsQn1h0sg6c25XYx0ORy4Dyl/0XwTFpk4OVU3PwoIRIv6red/7K4rJMarFmObNeJWt79/ptFqWqXwyzmXUNftM07xXNMcr6XtXdTDJcBanrwTNIZuUocnRxRvXN7QNEAaXZS1022mTJ9F9sP2yjie5XOSPPvbEi3htz2HrYy2UNfKUXs7nFOHd9EkCK8/dwAulXxu0od0H+3jHo+fPeOGFJ3h8d8Hzd2035pO7Ozw5A2dsbRMvDzNt0nc8UvtY4TSPQ8JNKM/zlJ4zP8l0PNEDiIczcrVof5WMd1f5Cn7G/HPJ+zINLerm/jOfxoa+e5cKG/+2ta19hrmyLyxd1fdR46CyTyYn7Kq9rJas5lGed0i//Uo/nd7lcZ5kr+G325WVg3aS81w28QC/nz31r6RTpGcLGSncdkVTVZ2Zl1FdmccE1PYMk/1hGauxTSdKc10hTy6LhKsrtkxei7iaFjI2dFpbu6v6VnR/S77XOrntSPBO+NBx921cj03y+oY5//FIr7sj9vHjx/iKr/gKfMVXfMWrquc3/+bfjO/4ju/Ad3zHdzxV+c/4jM/Ad3/3d78qGD5eKTgBtSk7ZviwgSrd4DHlh8P+AijDi/oF24vTPsAsJMJC5ULYVqFwELP0Uw1oFZ009Ge6o6ZQXjykgwkjZtgb54NzVkmGceOzFspXgVPb5Z9xpCdq2ENAEL5lvNu4XCEs5IJ5B3lg9skxnQRQ63OHdxorXF3wa0Zf03r8JKydMMjKoRl+htNehvselPIuuHbCF9MKfzrpkrHk/e3lg9Flx6iEFEDqt5wXipeMnbHZaHZHT++vCtppKWCEEzqpn2RuO/Uk7Lo0haadjAVkl2EQgeBJSk+YMh2vdoeqO2Fpzm1PxOezbuohl3hRlXeQNnof7+2d4W1adAXgYXv5xEmRz8cEca55smfsWEr5jhS32BBCuOL2TIFNxtiAhLJ5VYOyI+O58SQK98shkab+dKer2ulb6zstAIU+Joc87yjVRxj80/qmSbcVNPqCtrCzlzxINK70feBRsPVTdza3eBFlMghoLpnyaXcOVgtTGRbLv8vIVxqV6DDTvG+fhFOGaQP0ToE7hTzacXp8wf/7thfxtsctDDEA7Cq41w0fPT/Cr778Vrx8vsNLrzzG5bxhP28t/LTCT+HauCkAybvhEfmn48vCkeeFqGvJ+lnIgCmfzO+m+WInZJx+o0zXTqeDF+qQWyzjWWYbj8j89IKJvxofGLpC5yfEG1eLbmHR0fig0cgJ2M7S5GrarOK8lfuOAVu4i9bKJQdocDTZ2LIuJPSOZF44AU56TDV/eEwcBjEdpmcvFuoNDtPdHE80DtJPTUwnaSj5jlBqIzsjONKJ65DUB15Q0ZMkHqaAiIcMy7SX6crbYtw6rKMdoTENsPBPBcaRHXsoHT+KzcdE/LSxy4f+nO+IEQgs2gQbzeJIp1OxOJBLGLBPp3h3uI7kcjY7LhNsYYGU9SXHAb3r+mej7yLcVzg1Ro9J398uMTyy7Dr4R9Kjhh5oEWmiEa8yTlrbNRzVIiHnN1kzO56p00x/GI9vdWr/hk594YIOXcV0QNehmm18VlEZ5gJF/YJhk66S6WYFbHmzbbYTDxPPoVXSWJfz4b3zlKQOt2rb3M0Ls23BfsxpLydw23EoWuK6tmclHoJsKGwyozw/yLBk9VFiXppm3nxcWCZZkXS31ZUlYY4qIL0RgydHbcp2QHDwVQ5ugr03QLyc6jMdIulYpZ7f+6foAXSsnkTHBuMUXSTph9nmBUh3Amb+aPoK62Vp+I1sHE/FJq0gM/Yuy2zj6JbyUH1hrSbLIgAWapdhndYfeuVmq03zYvz0NQAFfGOewcE2XZjiLBP3us4KFx7diMfVbEpzYvbISS1vnPOjQjRDx+lTRqjYbmtMTpSKtnnNw5xMCd+NPgccR/LU6FYqZ6yOP5uXPm+ZdtP4Z55odQloY0XqL+vMY/4YshD1IetTJZ96vU5ve+q4aJx/PLbMZ/p9sPq4XUt0evs9XnjhCd763BN84vMv4W7b8Xg746xt866I4v58wpkQrqKQU8crr6/wAQWyx32gHmAvsnP3yF6s1rYC7jjvNuDyNrhcyp/lRtZpkT75EAPnUaNprtro3vhCb2+Sj3Ya1mzZPGcDAEALT0ptcz8H2a3prMJdhRurv9uh1p8JNwRrxkk4EZ9grNpz+yPZ/SP/6HteO8l2oIoAm070OP1O0VC8bwU9eFeSTIkVpocFbw68wGRaqs+d7Qe8cLUpPagDLBt7nkF33KDG9+l5ZRsyjYc2PAPRTK435eMuZDlarUNMY1LBIKMsgGlTVwlDJXPSPHrQmtirTTSn82+dJtCqc69/et0dsc/Sa5gqwWLPMd6VEyWXvUazmak8ZZoMww7H1VMfy/o0fL/l9O+yL9OCHaDXADpiqJaoXVdi05hUob3WixKN6fAiphb5rqUpNBS3SfW5sWPKMYetXuAyCyHhIlmJobbYGKuUpFBP5ew3R08fF63GR6j6rMhyHnPEZmHrmhj1Py+6W90VfhY4m4TnNWWteD8Jbe7SwRy28TBlpIQhjwfTAJ+4zQrxoq0JrkwTqS1T3hstSnwf8ickKD03OuJQ0qwwB0DptwDhHlppgOsug462UWbFhpz2ud3UZvhj+Iv5MBXnsOwdb6Xxtmo/1Z+Vy9gWooFz43g7z6+eFzBYJdL/7CTs3ifbk/0OZz3hvG+47Fu/gkJ8wUScEfRxJ1papYp/Oc1Xz2+VA/a1mktF++XYpbyV4R7ul8l0VMj+0jjINDi9pwEkuMJiWPVpvCbwz9QeRr4yMSwrXD6tzrLgQbw4bPxtMo6BOC+sOio7vo+C7lhYRS9I+Ze6X6qvLH9Ep4ID5rViBAuYKt6Q5fzUBgKur82paKCuBOuaEILsga77jmOYSsO3KJ8XisPOatarcpn0/dZ0lP8WmKeTKOyw9jwR5iMd5BjYAv/p50P7/yxhONLCGNFGCc+Imu8YTzpq44Y83gbqdibdttQ5tMn1RGDXTvjfklaLlYehkhfpmg7uc5mdvNW1N4zXPj6TuK/4A8nZKm+QR1yW6wL/7rb1FbkTyrKeZ22x7kV8Puib9LvSjaakGIuKTyvzGb6VnhYyw3WQcHp1G39AHLvJjqycFVa34Xklig9k0IPWARL+owO9YOSVPsqfXE8xHmyTVI6hYD/jJnKbdNbyt42TjjnVxq4RpFZ1cb8YIP60PvE9plYu9c/Em5uhlifpRksd6WB8uT6eUxUfyov6/oz1WUV0tKYihyfYqW0nA+ddtKmDaSTjoL9b2p9KeskBPvSujbE+3oG7HY8fn/HC43u88Ogez5/O2GTHJopNtdmTAPZdoDSeFn0OKj7WQjjz/qa1k1IG5Ge3zNVbJkGR/1AGBbgTXCs9N8+tVOdV3YznIlCGm828wecszeFMv5lnHIKQZSTBVvK2Cof8vGq41Fs6uDwuTidpLuV283xOzsDK4eefWf6TzLklHDHznNv0O5qXXl+s61CmIuLo6Iqe2AjmsTrifSu+7hkbp7olBXo9mHf2/qa1omUFJK+OdIBVWtBuuR5b1H21b7mtRZ5yU8hB+22OVwrF/Ggqp3F83gjpmSP2TZia8YmgpPhpV6LidrfM0H7G4l6jwuXiXDGrS+HgDQ2GkoWZLhidohCCxmz3mYuFHc9aCAftO++BFM61K4926jQL20L5CzuORMauUe5A3pWbcO8pncLwOqnvcee1xN0+QQBZgVmYrXc26dhhbXiyOy8Ds1W//7GdPOvgXwZOzfAW7XesuUKa8OB6tUxKRoCRuhQWF+iZLXrYaekcntgVfHLCbve9qnxC5zTfEcPKIBT1vaQdzv2Rjjv3+mlcPTUaPz2x8ro8Ebo/7vA9ge/ezYac3ZOy32E+RSoxv98Pu6krpBbOE7B+Gf2Ts3+xez2fghfUdBUWaUiojTYTC9HxTAra9nptJ3FvM+DAM/aifjpRXCm0HZ9buo9WFN1BaqcVZCze2Zy478+2MX52utjmy27tnAw51G/bOLH1U0R+97P4jj7ug/fFaLcjNSsIRk/bEzttK16ZhXLyapmebGw6Tn0XLOO7UEaUxlT2QY9OG9towtlz4vF+56Wd1uB5all5YcpooW+aECV+RX3TU+NRrIs/uZzw0vkR9pPg8XbGy5dHuN9PeOV8h5fu73C+nLBfNuy7tNOwFwHOgu0eY0e/4Wkfn1G29s9ptygGLWPU4+/lgJ/QGPgpZW4jn0A1nkP1Mf79lEc6mR9OdQIe2s3BTmM3FqQQ7tq2PHpKJ346zaqdHFBt9++63Oo4OEWY+d5YAM5LZYff07rfUf907q+jUwpccd8MfOad3Ad+b3BTPnaE+hjlcVcbTy3hG/Wr85ORIX7ynJhOmgLjxCKdng3li5OvYWPXJK+HXuHvFT0CRBHSF4CH/SE+kg3ryBsaz9xPEk5PshzJ8FndQqf5+ZRqlbKhBRg+ZYDR4WqLrnU90k+R7Hc2/qbrDNidDkz2cJunru/ZSfSt7UKv6NRwbPcH6wbsnQZ8jgZdcLTFTg2OlNOep/5JOkVtJyR7ftdRFyfOvE5KjZbp3kGhIXe9pd9VfKH2ANgiQuV8Gfq3Or1rD+M6xg9Ntz0IqfUsHSTmYcDgBelZqbsveWx7wCek7HkIV5tB2WL+KU9VjuF03inLd3Pe1JdFe1cXHJlvctpknITNp9sKtuM0fNFO1zwXSDDp0HmnSAZcj2XfvMgShx5RCaaTJDrgRHNzafcSLEHXMNnLcxyzjPNU4H7SW6V43x3awV7MeTNNkawPMoTk29K5KS1yETDoxYJgaNcD2SbRgPdYnvuhCo9gpOg6EsvVhexV09UF3pFhAwpUNC57WH+SXWoRnbwtEbJ/NNr4Ao9m4324DB2bcTUlXkvgcQDifi8+KbqoJowTtRnHQemEYJO/+yMdZVmOqlXMAtgaxLhahX6z7m02k9G8gngKn97r1RgKpwg4tn61U/OZHite1/+mSEqL/EHHNd5DetPkOJIZ7z5HQb9tPOl9K2/6Q49M1G34FnGK+obRxljbGC+DXiDE82yd5k6xP78Dj3Y89/ZX8PjxGf/PWz+Kdz73UTw+XfDW0xPc64aXL48AABcVnC8b9ssG7bajn3LuG7fl0j/P/XuCpcJXxvXheKCQtWHiRtyEenSUjeO5yMefB3I4jDWTfvp9mExP3DrPyOOIAY/PWx1Dvj+C24p7718TjSMUuo2/8beVsyevQy/nlMZ6zDZ0uiO8SDU+oHoYDpaDabODugxTb3uM6dCF/VmKFHKYfDKu35tsH3NKwvvWZtG/MGcFfKBp0oFWvKv3I2wQLPOkepDk9yrR+ynaFddtY0QNjPUaDc8GLNZJ6jfBxvAebWbI/bU2bC0hwJjKVvXmZxlH7qvg372tVZ2cl/MEJ/+E01RRP83t6y1cjvULK0v8Y6o7RG9cEAHR6BvBGfvMEfvrKSmGEDoKJcqMgPTLkO8aE8NgyhZmKDPqctcwt8fP8rsKphIG/lHnYWVkv4u7mVfx8oMhnhjMgxd9Ak4AX8wqdjyvFLEm8IeQDUzxqsBRgMskQRAcJOG7TnWHxZUUbitk7e2MhdFZQZjueiJBVgmMJcNcKLiBQTNcOVGbS2WyCwg2EHNZd6qQchbA8jtejvvhwyqjH0s6z3gqjFRf+Ej1lsY8KwwUSie3H8iI8gi67ON5ywrfgs55gTyEMFv0Xay+fYxZo9220B+MWB1wOSi2IGFjtbeQUv02wUa7W797GaQg2I7p1eJc6nPbQCAzH8s0IB3QoLGlP+s30vfqmbVP+OS57eUeoAR6sQN+7EYJ/VYaR+cVq7YLVhyeKyn1KrjsG+4vJ5xkxyYn3O8nvHT/COd9w75v2FXazuYOl/giifiizlh4SKGlXQmlvnVY2FmgBGzJc67gqsSBkQ075RJuq4amBddqnmOGe6qr4oX0bCwkNmS4gVB1x8v1cWOTpoLdfpuTpW9kCNNIR5kS/vydn0kcJwDTvKrkBS+u5OQyTnE4L6sxr/QkXlDgPBYiauUIsbw5ZOfVxGO6wluAL72j8hOfN77L7+2zKgOWBxXBR16yfGfEMhl9BS9M7wOcnPikah/z7IgYcyF2alqoSc9XtBWav8ZUniJdXQy8RUZUsq3rnU5XVG6itVzPjf00PN+6W/1ZaqmKFvS0p0irk/wf19Tlt9lITwPD05abK2r84Yg/3ZR2HQtKrCspwFGUmmPuKfBv/DrpYa8Ff8kwOK/N/biB3x29n1hFpQsku+eWuieexPlIXgV9dovvPA+9C9GUXCEgpaZaFWXZwI8PYM/9LPNbm6ZnZpmd+03PsuzM6yNX28xJFyIm4ZofPShJwkmmCcN91ncLOOdnMuFpqZeAVBEef4ejIai0r4wVCIJD194F/Cz002UfDvJVa0BVPav1mWmd6kCXUGtf8eqvfJ90mL4mcFLISXF3t+O5uwueO53x+HTBHS2c7Co4a4um1CIqSRzn8H18lg7OW3jcxyLd0mbW0a+VyWP3asRl5hXOiA7sEIk0j43nE0q91UlOaz4V4Cn4ZgnHq02VPFnlkyjfvZjO33M0yKeGqUqvhVqXHXyvQb1X1/+TzjGBVNGFzu9Xbd6i563Wy66uoz3Fu5zvKk8+SEf9drmF+UqaUsTfOpdeAzoLY1KcyH4jpmeO2DdrusaAgHnBbhHijnedzEaUWRpwpub3hdl7VkaQ7qXtL8tTF9XOezIOLexUvEdl1BMW3BTjLk9SfnKI4xzO78gJy8yDd3Hw0hsrrnwHGO/MkHP0jgmfMkkKhPRTFByTn50+paHNOE1CXi79tS2Ci+FD0riNPssOnO51gtHv8O15/A5Nw1PfhVwpCdUirPYTGn4KS2K5bpYAGHfMlovhHR47yTbtJGUly/LYzuTiTsFYbtw94vNnG2Xsc38u0rISbvcOrOxMGx2n1WlX9JOI/G5DOOFpdesOiArtJhptQdT7x3fUMt4GwL3eS3zm8whxfLyKPIV5PtrpUe13Pir8JJxw37NiyvNuR7vnxsb4Aj+x7c4wdLj7icoWCQDY2bgW9FOwAOgeWbsTGcDYbX4WOvmq2G3e273V5pB1xIw+6F1v005fekfgO8s9pPE+3ocFAcaHOQ6N9wrGaQI+VUi0yMafCoB+0jArmiGUNytKVH63Xdhpbg6kAdVONn/N84Ta9hMQd4Ounc/4SbHUjpcV7C/d4Xze8cFHL+Cjj854dHqM06Y4X5rxfL5suL8/Yb+ccPnoXdvNfJa+qxl+X087QR5PIovxt8zH0onyhiCMu15YtDBuid6VeA/jLximRfg6LTQ1O1kZnO8Gk52EdrnZ2chF22nbfprMTqsO+htwjfvCE+/RIVOZd4rTjCnnQ3bbxgfvczoRa3jfT5019vbVJrn1hdsnmrBkcsDocVoIYXxQnTz+4QQsbWJgunR+5OOrox4a84caAWNnrvrv1p+C+S7rkHIuZv1OVLGf0n33OqIr+MnbFV3bbzG8WfSKlN/oRIc8X51G480/7QEpFOzUS2gdcA0a8xNeFgHGT1ZizMlLkttpHsg+duoGJyzg+Ay8wZ73NlrEDBm8m+Z74620+UPGXAwL/Bm+nAi/4Tc6DsSEhvE1HTgMTpwZr6t2lSIjOBha5OXQxdLLMHx9TCdjfueTxwVQQV7N4WOfpeupuuszJB/PBe8JY0ZjfHSC1HhlqkPGl/juAC7LP8Lum5Abp6hDOmChvCFX2TayeWVsxfgx2bZIdG/03u7ilBBumO1CANAcHcASn/QW2pKT9E3jtc5PkRzKLIuSHgeQ/MpzTJU75HkVKHlEdcd6Hj/Xc2T8LvtObWjSjTiv99ns5N52sOcY78QjWZ8GvQsnGQNAI++woYl9kl6X7eamY0W5N2DplJThtB6pDH2TdJCMJ16vsPF20OhEq8kqsXWVE9m3nLxemZ6J2VGcXeIXIYCWTtlqLLK8477nOVmkcpG5T79ggyjNLwy8h2orQnci67/5xDAQT8dyVqrfo8f076EppmXqrn+39YsDXubtcn+BoXPTfJ5OSoZPHTQng/dVJ5IrnDO8S14OerePcRLS0YznOB5hMC6itXCbhA9s2hyxdzve8twTvP25V/D41BjXWTfsl0d4sp/wwScv4JXzHV6+v8P9/R0u5w16tolPeONrbXJ/GI9sz0p6T7iaEvOEjL6qjGKuG/OcYB2a/7hdw3k+1R3WUxZjOtmS9Hxqh+edb4onnsD2A/XHTMLGwxBZJY99ogO37ZR+J1jaC2qL4LVXQzfNne/ZuA2mWcoX5GQ5/9qcDevcQDwAk+bqlKxt0hNYbyn15hXzuTU5Ljm6Y5IjSR7fVB/R6VUnJuHrqA3mGXF+GbKzUBgw8fh6+X2Ua+ooKwlVPfP7MNaZhvbxcMIBn8K18rmfma6tratzVab3bV1HpshS5aZY6mfj5Tr13XwAvu6wq6v0U3+PUMrjwrwv2aKW91bH9scyPXPEvllTYmJOfLeUk/Fdt86kBQhhqTJzN6XITvxVxsoVGFmwWpslI7jGoLMi6kJVHO7s5AmhjY9gJdx4+RRaIZx0cMZGvxm2XaeJfoi2G4THkVLLJ2f8Nysl7iSP2llwqNKYcMgGB6vn8xCLHGaHUMPOB7gS2hYKglFbKG2huzlcWsaDoBtEej2kVt9Fbvhg4y8sgErrgDtOJA1NUuC0F7TQNWAweAMEK7W0yMBOEzZ+vN2sxPXywrgLGw4ARQtBBYkNZMX8yCBgI2KS+0nhEUSlUbsjOM/1bAB6t7LwVyeZEU65wxPs3Z7PSNrhuMDDRprct8LmIGZnqL3zzRt9nGxs3QFvjtQ+7qLSHMFGS5tSCFhTjkZfnQcqAUzZQHiY8CSmwEQe7A7alIZTZR73wOOYRyjl3TDTSkWLqc6VcjPxQm43w2IkG2SI9lBQAsWG+yd3uFwE96c7bNsOVWknZc8bzvenFlLqvoWU4rBSRoMeTqqQP6tNEuzwdlopO9s/9vHHGypGhWN6To5ry8IOTcU09xg2ybD3TzVYmMdRf7hddkACoE1O1sAgXcvnoFg9CzhXC51W2U4bB9pc7l9sQZv4iKZ+Mp5XxkxpxBk8aSyZV9lGo/1EHVdEfSN3i2XpgYxbwgOSwXv8PEyrtui5ohnKO4c7pAgVUR9gBhrrM+NJN/T7smIYo0lX6/nDvcX8no1gYKbTBI8ybgMfkehIxSBfN54zT6Q+ATRfBD1CAoFK+AnPrQ7AT3WzkWw8wxzg5nSs6IM3E3iezBsSCyvrcb6QASV8ZDSkecN589iM607mtgMMnIdCJZeLClcWlximN4Ix/es+3cC/glOH5RAw217EG29q98oYm2PZFqsecjr0mr15U/n+OemxFKIYlYM444A2wKzmU7ijFbUeMm0MrlLhFJ/6S/BN+lsKQT05wHtZth+NBxg/atEfrD6SRYhDI4xbesHRVaLDgRkXtWn4UAR+5DpM0p/YRp10JZInk85m+bb4nUCi+jS+yCnR2JJmrU+Zt2cZa++U+p2bXM0JjSDW+tSRICh+K5pDhYrncX61iR04wY7JHZ2IceAqzxGPrNOfTY4byu9rCsXpaWVdRGJ53tTt+VM415zUaaoQ7Lm7mr7n36neUF1B9zkd2YJTWe6r6T0YY2a6FfOVZR0JbgCQTSGb4tHpgkfbBVvPvKtgh+DJfof7ywn3+4aLXWmzGxOIbfC6yWQXpz7kvk0kV+B52Ydb50MFz0OTDrn6oLTQUadnifhCtKReT3aQOt+1dvrQCNGi02mej/aZnk96taC2s3LZNFdKFK/KEB+235WjbJqfKOjtgFev8jzN5sWHRA7RFb5fy5R0w1vnxrzefWPBZHcGR2vSJ0ZjMsq+FonkQOXMDDrOtfL87KjJzHvCPLsmABbvj3wxVu4AZ9nhGurlMcrvquevc3rmiH0TpubIGiE0K2XIQgYCCDsq+ZPzTLto+7O86xeKsftV0ARnJYGojrkDDCiismLPJJaddiuXyr/1q//k3adWR1aK7HsWxBk+d+QiMgdjSHGFsxXLi155jBS+kFwxzuBM7kac3Tc2YIlKhHI4qwRj/l4aaaiYVyyuoHaRBC7V3eDpOqzvbCNNnnGiGDsve11jcVinfgXHN3dPC0RaE3yS0trsY9Duciz28pCiNz3LiuSMhtYMGy+Eq3DSu1ez+aaI+AnA704cfUWcOyf0BW7QfZs0TrSBYjW+WbEJp7K7choWfATj/g5W7BSQszSfpcHDgtPayONvMNjYgGCm01J2dykiWYwygrFj1U9EDdjH/YrWP9NgIn20xvozc8ASnoR5bKCrobmMe8vm+kU19MONb8OjOYypo2FxnvDKBmEOG254Hz8QT8kSLsaDpIDl8eq0lQ0lL2dtbCh5jPPchezIzkS5tLt8det3KAK4PNnanN4V20mgewtFvJ836Cunca+P3enDc6aYA35XLNMr0jObu4Sv7DCxPlp4YT5VOhmBtFPaN2AkBwXv8p6crHwyEwNGh4Gb436nuvOJexvbyVmi0jYYOc1qpOm95QlOyI3mL9XpcNF85FPzTnNEE9Nil/XB6LG4DzXwU+qGVWHjV+1wtkxZ7so+5pnlne5/5fyGn8ohwf1hOGbxskweiaQ8mS70ndpiHSvt5rU8bQgkznXWCRRjw1mS+95OgiHgreIBhd7ovF3je1Fgukc3jzOzYIazVhXKtFqkzI7KAI/avag68p4Q+GqgD4xysfE1rBP/z+OvFMHF5B3NhyZeJOQHEPhbXgyy/vhdwTrnO3IIN3B1yjT6YhUe1Gd0as7uZ+nBifXovOEx2Fx5ji5kt8t74l+r0LmSCk/vEt/I+Vf90c60ptOhoS2CP8FYndg120Uw7pZs92PO89SKhZDZpzhPbklDptYnYwNeMTYQ5pD2vritmHhhdnwCGBuZSB7we3ZAWp6hk+jI67rgKO98osOWx2nCj/G0BLPrbyzXWWbRhiKvh6pl3S7oFpZ3H+0In/43nsk6GsHBepd3gSLwBJj7VyWkBB4nHTcnGfBfqJ6MJxBsgG/0JTVtxhn1l/HiOttl5tHePpFHQK7PqQQfneYsHVesu5hOqYN2Q/2pT8HGNBlIfYxRNnoeO9lrf+em0+pp6Bm6S19zAdl0o79ylrChutlnHcBz18dOaJtzO82U6wadxmSHO2UbHmO0nogvDe22D+uTBjgtz2rNJ+vUdp+7l6Hyy2S6D4/tpAPO7Q5bUX39IjTTx9ZpWRF0XIeJN1Uzv7L5vAv00v5eevIIAuDyaMNZN5z3DRdt19y8+ORxiKikFknp3P/6RmABxiljctSyjSmMM5KN2RHE9JmdgpPDQWP5iAOsU5LXYf1wktn2qV6v2bLOG/OG4gR7sPH7fHayoD75JvEdCCGKt1hXtq8BjE32ZBPvpy6X80ZqHp9ElyU/0vRZ6DuWlutpQGnLlWs2eeNhyu82k8Y6pNCVWaaNSlK9Bf/N9RxtMp/WfZlPZb0rt52fc2LcuN2ULiAp+IiXMXymSEihCYnfgzNxZUuEE53Wzpw3rLkmXst01shJQxk/THZRL1/1N+M484OKz7YXRb8WvHlVF9cT6V7DM9ZfMz3kPGGdivkdJOJdYvkljOH0q8zjJG+s62yeOWJ/PSQBGTKDWcuu/USYRKEaGENTfrSfQsm0Od0Da/UKhYtNwv9o18zhCaLcLinmFpJ0Mshy/elkasbL0+wCGkpAcbqVdPPBnHQoxPR8rlix7VzHOCnqBrQJZ4FzKw9ft/d+bV1cseFxGX2e74Ia7U+7WRLMU38pi+cvFABvR0jAyDxmQRk0IUVGqy0sNsGnEy4r+Dz88JZeCLDfjXpVWt4W+lbnk7FTZ3Pfxl2kQdlaleuNmtDxkKDmoDBl1Gl30Lw7KBiHpGzJ3rt9Gs9YAXWnkAxnQRZqZsRXjg47Fex1W5kN0Eft9+mVPr+t6KWHF+2K/moeBCeNtcmw9QUSziN0AjXA3PEJ6bjs80YU2B/pwMlFvH71zz42G78ALJSwhSYec0OmPAGxBk83zPUu4kAhRKusZYx+hrG2uUBhm9ixHpQt/m1wID237rAxo5HPluGojB77gh078NhZIwo3gsH9MbrOG4RAfSKYvb6z4LS3cWxtCvRJ27Wsj/ppWDO4n5wgL/uR5oGffXyfFgy0zQ05E74w8rmz8ILJwDHH7MbjgcZvRNupQ5OxQc7mOb6P/oZhkzFGzgf6KXWfI2TgB4M4dmfwW6vTTo4z7wAGrbFcIdrxr4lG/ZRxx8N+1+cOZNB1dvruY+w9XHjiB4E2fN7FedA21AxcOXwsD5j/G8/rfCvwxsTDc1heO23JvMoNqCJvaRxj5NM7tIWokFd93q+S3wdLPDrwWqYFmtf2exiuGPX0ci6repkRAjO2s1UOvmwA23ilTTlA4l/FbtbVAqJXzSGGBU0nkl6XL+q2PBWfu2aTMa+YFpJpLlldeSPMoDdyaIPyk5yODY82ub5qPvKJ6auGuL0XaSGSOe9uslGH3KnBAgqbImbgZxLyC9BPuY/MTu8ZR1aekutH5jh6lq4nPj4IBHowm8NtwSJdPRGReTS/SicUo60QBZ7ZPnEDCdEl5Z3ah05X2jg8FV3Ru2W3lg5dmeGZ5gLju78sNsodpaaODnvNh9F491aMi4NV2KOZf2RYlLMb35QgD0wmh7J75NPKcFQhqY3nHeA/29Mr2/9pkvPdBJPzZEF0tKYUnQ32W8c7kNxknNoXdmywzmBtd4AUwLavz554P9hO0zFOh6mas6RDBtuK8oQxzvKvX42RI2o5Dkjm+Zznfhf0mX8HvUWjXmG4C21hvPOXfWwEaDZh1xVka/C0rOJrXlMkiHTFBuuk4yojHTTAV9oQLn3tYdMmz/Z+hYoolB2MjGfGkwOg8Z1gGv6jRfmgY9EYGR5v0pOKdCvPFdV+HUlsy+mb5Pzk5DBbmip1B5Z2ebK3zbr3lxNeOSs2UewquOwb7vetPz+107CXE3a/zkbGNUEXui6I7BaGM9A3y1jOz3oj0T6v/wQchD4hrn3kOZnnXUqZBqa5rum7SR/f7LMgBeaDGN+ZT4Y1L3tG/WN4Aj9F29hf6Zq8vtXmboeQ5qGNl+EsOLmqziT6C+JRatyW+vmKh/H8oo2pVZny+o1y/habwxDnzSpKybROnPUnKsOb9iYexBt588Ae6GMVr79JflF9QXY/IK1gyCnoYcnxaDBM6waZT2n9fESrhF8/lnH8NDA7XGWH6ldTnZkXVfR5AxxHNvxyPXrKqC6HJ4e/bXwu6bZn2WLY6NdKl3w16Zkj9s2ausKx2lVsd762h0BwYhWM8SHO1LJMYrylE9De+ekViXCm9ptyMri8hZxqVYkrLJNRzyf/wou5ndUucO+TCQsARzucdR/qXzzJm9tDOz2yxTy+UEhcYXlvUkdZWCgjHHCb1RgGZYF3ghO2VoJ0UhJICc3Kh3A9k8I9yuQ8vHN21FngwsCblB8OUcZ9HbCzIRwWzZNiaL62lTIxKb4bxr1GMvDjdVg8fRtqMaE+2g+ymaZtdbIwp3wyqIVjVWwXme70DXO2lMbjeXDsZvi43hWeNdW1j76xI8XzZlA0vTe20e9ADosdOnDF9BES1RW6JTotTI9XY/6LUthnoFC+FGKKlYwyoTHbJe11MI+WMLe4qfbDTgMN+hKg47VidKPo6FD8HpQew/Felwlw6ygfcYAxD+h3oIkERrWjl8dRHTZpfPS8QbWNyr5rC0XsJ2DpdLhi/M79qZTOAoalQdBpLuShT+dLxUanqaoibNkEW+KzOe+0QIYuazEWmRzu6yAtAB31IY1nkJvpXeY97mDGmMMWKjd3v3Sk8rv0zNNq3Lzwbe9X1bADLDzXYoyu8SJywo6KUnbS8YL+spBRyoZxyCORRy7maWUMZeN7cixat3Kf0/yrDOcwrtLgrOR8qCMAB/gms2I37WE6yDMZin56Z50nw5lPknKopLrRuf6qv5k/HfaXxjcvvAK4flqZ8lb48s0RzodM56mQEvHAdR72oRvj1QLHs3SQlmHCMPD+wM2q2Ynq9QG13XnLPFzVe638xBt0Xc9KFzpqa9J/F8JBDKU3dhYzvQd67jZj5rMZttVG54eEFPS2lfiDtHnsNuIBX5h5UcxYLSh7dC96BmsnZye98tZFtCDn0rgHpwjiu7JtUNsMh61NWB6PpENlkMpj7oOdMHV4eXPulsY48W4AYSOOgFgryVrt+ZodYzya3ptD1/6KdiJixue1hemgC2Z5ttCzDQ+h/iN+TzqIl0XsjwD9FB7ckQNpTlfFGAcAY2MX3+k6zb9esUcDaYgOTtiKzoCxkdfGZPNJZzMu2NfB3qamGZ+OJ6ZTwJ3kVcr6qg3H0Tybxg8IG6Ou6msGI5XPjq8ByPhd631p3OzZ3sYal7ZJ95VX7toVNrvg7rTjsgv2vZ2MffLkDvtlw+XJBpy3EU1pR9uk1utzGPoiUZirqS/BHjKYGDeLvjw4JVxX8sLhSXRS6+Ij8qId2pn0Mkn9oDEoxzDDlult4hcS4AyPjYeYLmufHfY2p3TwgornLnC9XKOk54fzqNfN65nc5sB3PH0eeZxO9cV2bPDSb0Q5u9ILSuerF0p5JObLG21D1J+pHYMv1h/WDKd2LY84HMv1fMJdmVb6SgFnts3qjHkg5vcSCC7dR34THDHv4Pn1fAjPbtRlbrGZ4torFQgbK+VmfD3U8WlwjjkoyzpCvgTPyjn7RrAbnzli38zJmJTCd+wZc/Q7uAAEh10vt1KOc4imGEpWw+QboewQ6zeBOylg6a4BQfzdn8murjhvtmNh64zY7yVV76efDCJ4PFxqDhWYBUEKCzmFmyIBrKZ05T5rN5KtCWNwe8EINmmnN84ahLM7ZnN4QBrTcecPhd+69E4ZHZSLXanfSQGL49vb5kVvNux6fw1GAH4axe/O6/Sop3gXbGhTR3/CaYbeJ9F2kmrvHMpg0DvxfO15EWDA8GBZtx5Gpp+20q3Xa5+de8sF0DsdCp3RMYcT8nEnrdroTbRFOzKlR3pf7vuc9JBHGWb1U2RunJqj0pyvpNhufRduVprCibjuTGyny4xHROU1OIgYGoLB8bk45QAFtnv6SSeE/dSjKZd7h92MFVY8LxF+4ED5BJU7t3L7Y+DyGH5iUE/AZUNzOhn+gDB9uV/moNofNRqAGV32UuHjX4Woinylz0dBOwm4Nf6rFyqL3o7PF9Zy4fxPyIE+NrAgbiAwmjy3+RAMqXx6lptJrFfTWE1IZ/xVffd50ni1h+Qt2lw6yUkxYkPN6ULHGMsufe+KQB+3e38tfBTzOLlPy6Esqwh/3oadCCIc2HP+HQxYm5NpfhkOwmJQwgX/trtYK+XQT3+ZbCM8Se+HYtCJbD2EsymyHYHO9i/dsN5MtgEJpIGv/F16w9sI1eiLEgaLTVSVQd+dZveTjn6qeIj+/a5PHdsxTf3Ru+FIN4fldIqT4XT+H1/5XODNGwsnuVhb1md+R/NSLl0OFBESeBH8KLymRbEIp8D4rvfcRY4aIuP3nA9+H+m0c1V1hMPvi42lwb44cRhPKLRFTKsPdLK2Zej4ClFbUoUy5pbJK9MBTO5xHtgj0nHciYB5l67N8YymQycIaF5bg9Z3oRPM3M+d8oCe+/wZDVSnhgJcGNPNYOG820Wd3zIvix1AohWA7wO2091sdHvklQImu9vR8xj/tAUaBbYzzZuFtWt92ugEVeatAVbQfLTTtLSQ9SwdJD+NXZ+aaPw/3j16vc7i2YL2cn6GY3IUSizHtD0WZlc0VUqx/g7zHDGc5E0wEusKUZV03X7oIz/WSNsRMAw5bc+yLgfAbXBnCuOln3y19pgHWZ8NBzwmVWJeaunUeSpkipCyapMdumwzBz3fwCn4Xz6Vw/Zk4MkJdndepQ3PFW2K8ZGkq3p7ObGOtwEeipbfY/CyQPusF7Gs3SlaiMHFci7xb97I6k3qeGa8NOh0lnkndqpoeuKd+KA0R6wGeKWXm5LRVEYRwZzl9VQFyQ8owv22cb1g6AUZhgkmO/nWcWCRTnbesKcznBC0DbSq4VkDCONEXab/nRxUPb/pLeyA5TDUDXe0oZecr6a/tLzieIJos3vMuVPotq7LmxzHyGt69RKPzBMNzBv4RPjOczPpDWWZo/pTW74Wklj11F+d38lFIE8EOAnOLz/CfjnhyemEu7seTUmBy/mEy5NTO4X8ZGv296WXtbWLfiqW07BLEp0rxrwhHo8CFzfpoLnPAYgiD417kBUaP/05bVjgoRn54samzIdDeT6FyWNTpCCL0/3H3jb/cT8Tf3XYae3HyabStRMfyDy3bIfKhveZ3g2nghCeXmzDfOZpDle20zAhb6l/VHMb9TPuzyxrx4/MZ3QT3zA95j0JdGDGDT8iugnXLIKGXiIMBhNv7mM7YYoEtNqAx6l4Z/xdjAffuOEzOEndJtTJXhsFcgV9fb/DHh33QxaMddtRQZNnGmUFwbri4ZUtPDlbV5FAe3vZUbrCj9fH8O1F5uRnKsMIV/3RAS/DwQ7c8PsNlJ45Yn+dpiWTtrRQgEojPTHaKUSUN0r1prqXBncufy0ZP3KBr9PMWi40LOqajG8c4aCopzOKApTb067NSauDyXmoYiT8aRNcQbByX0zo3bIDehqnLnwOOuLOvmRchUWE1PakVHD7QeOr2wtlC0Ff5dFcJigNWWjH8VaDZYWGFRKWmuacZSiYhcKQlDogNSXzu7kDKHHF7yZFPP2eyjwgVUbh1AbVLenzsM2cFwi7VNUUM4DG3jYxIPaxMF7mZzb/qglTaDNmUHD70ubWuLuAyh/0cYKtmj+rNCl7qewqkVKVjcNrPM7CkB/OHxR0kGHsOJsWopT486W3dW555Cxx842mO6aqsa5o8gqsYeGInd1J+WMj8lAprhTdDGf67aRrvE7G72p+rNoKz1123CDLMs8UdIMqaeSp48vFTfvs41yNSbWgNz3T+O4waYEjJRTeygPTHOHPo7ZDFTfoSJOzovr0vAfPUz3TwjbzFaKJqr4lXP6yPyYH7Ep2l+w4kVTIw+PXYb4mC6txeYjeVhrIV/JXNLbWLSgPP6a+BUd0jjqTq+O2FuKrBnwN4uHdm/RdUj8rnTGXLWGq9PFrPPJZup4OZFGmq8CfXNh8HNPE94/tvBFGMd5BepMqO82TudTy+p1bbM9NgF3rhbAiqaDZiKdrc13HXYmhAsw63ZW5eXM64mUOF7HhFY+yunL1HlnmOhyC1Df+zDCH9s2uXui719qX4nuWp1x3+i2i4I0xWQYYDO6D581zJhOP9LrcH9JRxp2kibau6MRXU+5/7lPetEZtTxtTV7BU+ps9B+J9q1SXgyKU10Cl9syZy6eKDVeiIBtvwRPNySoYTlh/ByzvqRP4JmZN4YzdwezAcmdQ07sYLDdwm6flAdeyCOF2pUumuTfpAjwPk16HiKbR5i4esU4uzfGtZ8EuDZHnc8u467hDdoQjhp+CdVsyg2ztZmda1jcrGs5jxfMy84w81HIjz17oW1MfMj4r+LjOYt5c3cjCOmWFn1xI7Io2DB5SDsICzgW5B1q039SPqSyPwQo/Gc8FHYxNJxrLpbL1ekOhA2c4Hzp3jcZWTtgKB7kKHnfmURU8maZTYht0gqHCQS5L3wNdrdjeDfi62Z6/Un5+McNwtA5V4WyaczecAl3BtrK7Ms+e1g+8Apnan+peRDJa9W1Z943yJpQPld9Wx8crPXPE/jpI1d2ZAOj+wb7jhCd+xZwyA+x57XThilnn04e+kMo7h6lN360KKp/bLSYK99N3ugZhOsqrCLaLepvTzsG+WG+79u1krb0LO28CQ4i/bbJvO6bwUVmgN6On0BYtVc7YnRrUBDOdgMkhKvydKUxKOLf7SFx49l0tdCqC7wHOAg50ckYBCDFW909O91fEPrQdVTLwvWGEQ7qDn0YNYT24P3s8BSGKaceuGSs72jiKCLZL2xVrbZlRtd/p2MWNBs/+SB0+X6nW3pj0TwtVow23I3xNz7PTGah+esROhZqSz768HFJ3WjQxWs40yeMJuFGwP6I+sVEqcLhDmbSjs9rlFJSuVIe/t3eX0abwb89MdZDiJDo2Guwn8ftVcxhQb2unuyV17IBGD3Wqm81523Gmo3zuV+7LKSkAAvguZsG490fR6UHaM9vZqTGf6xO2U/oC4NyJMd+PbHjGGHfptKcnCfcLc3KjMIeaYTwXimCYZ5aNFSWCa3Lc9E+7p9Pv66wSz9vUVuO/o77tvvXH7nfWPo66NXyJoIWcAhnKOnh8Pjk8GWCKdrLahmuw1ZCMx/j8pf7u/Z7kKQQanewEvRqLM3QvaafVCi9cWDHK2tqKn3buu0K9y0YbOn7LbnOCOkpzb7obppoXJx0hSHl3foI70MhKT+H2QTzQeT3hBPFZ5n18Z1cVZomT5LGx8VId91JnXpXLkzyze3yiXGLiRhoLHWXzO9e5pDcd7yIMp2BT4rnj5Vd8vArzI5jm9tROwTsCbNS/PFbMn5VpA407+zDTmPJYBL3O+uD6oHo/hemnzxteIHA2J4PmQtLWllzaiaFxwqWNdT6hG2Q002UyIrPhuaRlDPTGaBaxvjAP+2/eHDLgoDYV/URpey6cl08N6Fw204swDhDrqaY7j5Xf7TvRoNBpdY39kzn/Qxzpv6GT0edyZWrwrOo0qNtw5Ix1W8/eWzvofMv0787/Q0i7QJO6hCuE1kv6iaXVNTjujDV7c9nzGibuV5irK1lW1DPwEq+3YZvQ+cLB/bHNNkgnFCTGWXC54hGL4AzUn1Un9idYF/3SoGlNjhKHPfO5LD8ZtaSbsZPB1xMSLgP6lUBlHow47rNemwAiVlTx86Uua3nyqSHCx5DJmn7Hz8DbLgiRZzxcrdhmUnF9R86IeLJyxjdDv+l7jwyCc4ShnfiL+kwlHxlHo9ND/rieSn32saI1gjCWRVulM0tiGf9uhXaS9Ta26U5X2SKsXq8OXqEn2jBhGz9NJzU7ROCfAejqOafCoeoOW4pK1rKMyaUMrxdUj9rmDntyvjb67L85EhQGjZQnlLz+QQuOnI6LoFcW+adrRbh/loR4uKb8vGaVaI3byU6hgcoWMUlPDTF62qDnDZfLjv3UlCt3wN53xcXugnXcUFtI8+gyv3datd/7Ak7E5yD1ruwv4jvl8oj1hrpThCe7b7UKVc02cFtL7FyUYd4Hjp0keKyFkOQKsc48A9R3m3fa5k3TLYiGT7EMepQob4rp0OlgXCqXRbKVCzrznssjzHl/RpU4jyUePNlaxtssmhONyzTvMk8rbOcy4sUiEtOUWGbxvEt5St3f14vtYdfy0hx1+ceysZAhWQ7nyE5BbhRrAaFP9CzrDFW+OYLcsIcnByfxvZs2QFi7Se9gGKYNAJdFpcXBpooPTc2vhr/Cnz0v+I3N8ZIPg3gQ6bdrGa7lHImA69TnAUd7F9dmiooWp4OzrvVGsB2fOWLfzOmIEUyC1QQcMZQsma4lSZ+9Dg+Xm09ZuPPjCqxPkR56501lFGcj2xlmwTiDQ+xVpBXjkQwKK2qF8HJ4V8+CkncMdKm4YTDX/H4sCMLxpVj07UgQMYNkskzCSYu+TMahzu27M1epL6asVcI0Cf+wY7dSVK3S0I+OjFy5wHe2KmREzWDhHkE4npsJp9UYupErRRmdqy+dP5XmSm1Ohtmizvw5GdFB6KfJkNOqTY3fOUSrlzGHldqF7RSq1Wgw42E1D3P7rtUL0TcNQNC4cDy+1iTTb9H2kePQYX4KRSOMLfPFKiVlplRwtGYDQJqDbMymcZvC1drkLnke2mKSLYZc6cORIRv64LCMDlkozuDMSHVPdWZYkgwKY5rmucNoPIPxLfCQdgNPqR1u6xbayLw18xPri8OjPr/y2BxJopsMG4JpZfR6ezxvV2Of+AiHi8r5loZFfmbT++i01i2npsqCqI3nom8qBd3lnaUJh2UZrr/CcyEbrT7PZrzV+UqX4wR4OU+wxrPVB9URwhmtfyx+j3RFrieI7NXw2CJE7/iD9VBOGT+pmkmF0AIs5hcVzDQ3Q52pXm7zKsxH8y7AZo0ezYPR7k2LGxPftEF+yjH4jZoqYbwQ0E/Nq67U++Bq8kKoYpp7YT52WplOxlay4GngW9SxOqk7bAYp58StC0LzAm+MnjTyqcMz6cYWBm/Bc68mWigLfGmC4db6YplJn3ytEtNi0ml4I4DrWEGewzcYDxs4ytKpLYZ/pfdzfZyvPwhOEQqDLH1B0knqsOPr5HZxb9Ltce2NH1Qcyi7ylXblKtncTPowj0Gev1P9CR6pyluW/E7is5bJ1rcob25KMN+LekS312i6KB/ul1/ZE7fi2eq/pjNc04dei1TNm6STlsUmnpYypDG3KFkQtJOxUOAsUGx9Y7z4fbAeKtxowdd1CkBuxA2vQz04cV/Kynu2hR0w2W9Hv4t6lzAt3r9anr0qH9YC/d94J/Q58ZCcOp2VQyoxz3WAqdqCTkparWj2oN7XOg2n2kEHJxlWGWjjWRi3lY6J4nmVJ6cj+XJUR6b1a2VfTVrpylmmLdKS3yV96zVJD6jncD67jLihwgOewWGQr/GPW52wD4bhdUrPHLFvxnQC9IS4uy+dQnAhs9jpwgqWGah81xXvWs6GJe+4DY5da5N2FoXdP9Ts4aJoLxsWBQsmJqp9h+KAx5/rEDSxYdCOJ9P2Yh6/X9Z2iZqwZgGbGL0K/J7XtlivEzPhRaf8zFM/FWvvqrxZyedQnH6qNDGbeNfv6ELb2aSjfknKos67r70OVyg6/vmElefv45juupsW3hTTQov3U/uJY2DekZPv5KA83Ferx+9I8V3i9K7fLdoWunU6TcYN+djQCcY4D3o/T+q7+Hz8On1BgMupnbjZ7M4Rxn8aw+lkHbVpiqcvpp96tww/NDfL+z8N/32H9HSXhjfS+8AnmHM+giUL+6wkC497Utx49+O0q9vvNRx9mpzO/XO7Hzjxk5qnUd7sWjW6gAzesynC6VduhJmawXaiH/sYU8bLNEc2QB/t/h2K7jA2vjvuOOa29kcNFr8XdwP0rt0ftGGGzeabd6E/D6fTmOcSzJ49zbu8YOaLe2ne2d9GtGcLW15fpu8z/eATtjJwYbvEw67zIN/Gj7xpQDHg4ftOsvPDTx3QKeO8azPw4MRXvL00p+z0a5CJNAaO715/JRN9/jDcEnlMkL8naiclP1UroWh7fg8ag4LuKdkGh4CDiQ9TaDdnWtQHm4ssx4lG3BlpTvB+SjLvmA5jnj8Jv9wfpoNyLEk2AgTzAh8tz7jXveGIz35SWaV+JVivXenAvG9ylJncPbXOlAs2xQniVXhSD8PnfFynuRPqTnzC72EjR1p2CNt3OzWpJ9t13e9Vo7xBh2EeK3R3PfeTx7n3Lcyt/rlDPLJGmx8a8b1J4JvKOqCHddJRJ8m9nPxeu0JGxE0tqbDByvdL85wX4v2VjmUpR0rR+Fv2cR+t57WoJqbnA1iFWxxjk/hHHvd0StsXUlcn0oAZJ8/SMuUNhsF5mXSwKRV8YXn32KpcQd/LMhmWqlyi13C6xHSSri8KNMoOSibTlxGmUpqiLBUbNrMtNubW4O8CzPSe7//qoYz9OfMZtDln4Vy9Ltc3eqZ+ypF5douWleBejY0SqgUIi4P91FLofq5H03PjURKflbpJwmtuR1kn3DI+NUadqOjKdCkoyXwZJ64u8Og62NBtpGjje5XBRiXen/rjcmPrJ4yV2rZ+aG/LqiL5oTv8bvTJ+UC83uoMETySnJlOV+3tFGHQe5XyUNdCHstHelzIyzi4zEPtTn17sQ+51eZFxAOqZ4j99Hpd9xyfeqK7XDs+hOmEpwzpClGfbcjUO43v+nvR7vRj3cL0iDwnRNvcFiVbMPLmoDPvsR1PinavKePGdZQAXovIpJhhp7oYp6Ef/ZPFuo3T6GvEB9M480WOpjdteOD2kn7j/WX4ZDwz9rehhSiGSkPtJm3MTB+8EL0r4CGJU/PWWYWE06TVHMxwC8OZ4J/wY7isxiTraDlKWs5bjDvrwVNUizxmJn+oHzYnggy7Va5bP5HGUeZ1U1uH8X5Su9jEIzxtiDzR1yi2Bn9b32r15IgQDEOw+TLoSmgueI7S99XpctfP09pl4KcTj0GAO9R3mZ+Z3lPJdT6xvDp9OuiQX2rI42Z7QV+ej/B4tHGY7Uc/7Z/4jlCY3GkOmQ7A41gdpElDUtnJktqt7JlJHyl0Hae9JGuP6rFnpY9Ak76xmGulDV5sis3tHKbAD6wuo1Od6bVKPAaT4KcNzuaMLfA+47lCYMyU10Bs5WW1VvF6pGeO2DdhUhFfyMs78nnRKhC7AmGXbqUEsjK2EqqhCp2eTcxP00QoQ+kR/GQE+0J9kdfzJYUuwMMK0NFiARkj2hfZ3Tlt+JWG25J5dYHlIaNYALNDO4VBCLAyvOSMDTHVF/hrsOu0sODDI0PB5fGYdsoxHEkYjSoHDJJCaAXnah+TvEMqhx5j55CF1cxjOin2gDtD8qJJUAarvhlsO4bBzoolBsyHNKMdhlNXIM52jwWFbMsKSleYZOshhMC0cV0wlLTD42R0bgsFMmga1FypAGOU5wVpdpLWdD/XediPrhs6jdjYFspvCK+dnLVlmDtr2/RP4j9CVUAwHDbcVwC6N4KUvtAS+mrhhi1UNSdGwKZt0cv5KE84xkV/vlkD3Faba2I4KPhpc7bxREE/+THoKS9IcNNhrg7UjnHQkS/AFvqNsXhTtQGCmdHJYZK6EzSEIec8MhRaf091ugJnuGb5wbSeeS3zDd58w/LDnfORrqdF2MwnmY9xm/yI+SWoj8C0mBfuzMr8jecStW2LdQ6HovHurT7FF8YLBAvxR7074B9V/w1ejd9LgzLVF0KtSiojxB+o/O5Gd5S1V5Vu4xM8x2hqreCcjGeukuWTAPmU1JFjVU+IBiT303h6VdzlDukPGHOhXCypZDVm/Hpeg8fnmcb+FzCXv3PVSYZkOrOo723FZehEYTyMZqi9aoFAeqYpHGoaE916SDNa0Ayyg/vVw+mKD7kghGKbOjzq8eYzv00p8O3UJ3cCr8JbhYr4e4NzJdJAOndzSBhB9zVi5sdlW4MWA8/m/C4raycsw/NGMqDfzClELLLftzhVn7a9HDr4xjSd7LzCR0L9kp4Jok78Wqcs8294FubZlQ0FriuwjQjjOZ3Xo95o0wr2/IwD4uOlTLqGc49gk07mcrkDXfRaujbfq0XQ8P1Ke5NDx6pgGbePdkyOlouiLmNZKGHmaf3T+afVkX7zAq6pb2GNBqOMFn1Z9f0WW9NPht4yV4s8QR84kn8HdQZ9bE91otDZUr1BzFmfTJdM/eNQq8g8gunC6sp6bdbLj5Kkz/C8N2aDH5Qh63RqR9r8twgjSzvcaKV/evNdF7ppjq70ThRjsMjLiele0+cShIouU5thjcFoxNZHupN6B8ZmC3dEyqA3bqbAaQnHEcwEp2Bm91O/V2OYfuelhSxbJieVkFpGJLbtMW8odw2uV5PKeRBTpZ8KIvwW/cx4ZWA9AlrTLXjrEc0yaJqmHtFFxYMqOs3OoSlvgiUchirgvBqZx+rJTlhrTmJesyGDzi0LvUIinZXtXtlEvJrLU4STIs+rSgud68j+f5pU4W2aj0WbFb95iP50qz3ZfhgwOVPSUblcco4/VLd7VamSV6X+Ojq0sp9f7/TMEfsmTO0uTw3MarykjAtGMjnsrFxixnXjVLc1Sztv7RQTC44wSTgcQm5Dezl3VKW+AJMwGqdiASk4c97pVYbZ0iEo/NQD0BbcaAFcN5rBWX6aM8UWvq3LlaLF7xIOKkObFxz5pgNbRLT75Nrddv1dB5DvDwjKfOq/M9GVQGXl0X9IzNvtAzaSxqKbBjzze3bAsFKz3yGcJg0MdG99tFOcftJVyGc3KTP95w6c7htuLo8BbGiODgFUe50iyRGnAZcuNI0++q5l/8d5KlpOCK4E7kqwLRfLZChaYvdYnkY9eaEt7AYUxBOu7BwF9ZnnvxmzGScEZxUa1Z1uVoZD0ALt5FMWlpWC2/sZdgRKgTOiRxse69/Ozi9J+djZkcc7JzOOgXmeuZaK+rmgnaS1+hVuKE5ltpZFFNjuh6XhdwFLw8em0vdt6DQuDDIUccGhj3lYpHPFvKhna/cnsiEd8M/lFeNeRWuO6YD7SjAERy/xGHY4wk64G6I2YD8VnQ4IQJvj2nDt5C3xu7WbF9tYcbZ3m528ybswjeYSaqwtw4Uv+Fl7d+pzl+sCRvv7HXzhgOWP917b/ck+pwktoe6AlwFTO2lNffYd+hpkxrRQkWShPwPdv73DkTfqr/mhj3emww7v4O9aLtCVjhzjR+a84j7wGOe+Kd2fFupKgDMNXNGpdBsbv/ImhHnxKupPPo4iYa7awtzhYnX/bYswTiMbhWrkU50EN+uheXEjdJHnt8nyJnCnvEEPQRq3dMJm6pfJEnp+ZHTxZh9RDJmf9RSCLbSd2t8u43kAw34wf+R5XAJHX+nk6cTPE13r6NLgXwnesHBU7HQP7cvgQfuj2GE7Cef6SgUPWp5JZ87467A4zab+xXKDdt5oRvUbOjmPLF5VJzoBVJtfy4W/FY9bPXN6HXpQdVp32B4HoYUZhtwU8RjnZw91xlY8LZ2qYd272iRa1plkCqfA23ZdPgMQnLLuEM0ydHfGO57dcpK8mn/A4JEUUg7dFnU5pEU5DD5aLdweyiqmESNH0g24fHCWBb1Jgzyv9LL2Tv0klbAuQ3qQR2Lh9k8aZAqAwJvLhU/SV8adpRrWHGQXR2/AI9eVaSqjkuQXJ7arg/6f4QThi/t2bQMH6VR5Q3jIk3Qur5/za8qT5VXnG3zfXxgHsxf7u43tRwXkDD+N7Ho9el2uHwxUi2J2Wgv6ZmiNY4Pie05p3aHNbY11Z2Hrz+H6FRZjbXZ+ODG9YWxCzvoFEJ8xjSVefLhudGWuqyBEPTL4vZsFzTBcU0SlQp7JWSCi3s62Ez+0oUqb/o/8Wyhwxc+ZdvP9xLoRC80b3jWNDyK/nGzsrcBv6Pgs7yxUM/NTWv6MxXlDIY8N00KQK1a/RHgz/yZ+EObJSuZUXavoMifm/QZHoqnJmX2Qyit/uP40hTlf4GdBdh7xRK3bTLJ80slYz7JIICkSZJZHrl9zUwUPy7Is6/PhIAXm8t6H1AbjUIYwHuuGVI6X473qPKdS3ikJX1BWvw/KFMuyBcEE+cT6Ep8eTfiOURNa3iCvWT4WiXkD51mtI2fne92RXMiQme5oXeAirJMV9VX6yHygjDvTcVjpwyAaVEwHxar8b5QrbZ45Yt+MqZ/SWRp6mTjNAcMMhE/J+URP4fIsSz51a9aAC7DGcC08IIB2TxzDIjGvwRXa6TByWL5sNAW70ZvQwPTiCeHRfnNURng8X6+MwwdCmpOBQ0woLBRoFLi2UDa0C1MidTqhsGIMQakE2gnaLZ60lS0a2NN4uVI6OmF43i7qYTp4/CqHgqT6vGv2WSh+DH92zno1kvIawxT46T8/gbYhhqdVkgOWh8IMWdi8ibe6kjMWcrYn8LBEbBjGneK9IjOM+JSpweSGKwlRoIW5Obc6NiOJU8wTEM3C2RSO7AzlfHnYTaAZfi8YTmlBC6FspyQtjK0pZgSLncSysR60Q3k8lA+CIi3k7DE8eXjZYkxCXrQ5pSItVJQg3BfKpyJ48Wg7t7mxn4hvMI0l1Llh13fGlifLXHFNypfKhHdvL49Rrm+hiDigfVeuOWIt3HCeZGasYh/4tj7YZl8AfiJWpfGL7aJRBhwpUTL+fC4kR6DzY3LSTf1jvsIyKPFwAdVHdYwQgkW9/ZFSf3i49jsAj+Yy4bfhsm+Tz45Kd2hIat7guQx2P8av92cjnAFj00Kvr6QDw2snM/ddEA4sRDH3yU+M9jlvyAmyZR+flbE2LYiIzbvWjIc9pZOBgDRHMW/oSPICSvjaWwj2/aRe3+kJzVPjfVaOlXimL5PxDLOFKDYnLNGaO7fDpqQBq+w6Ngi4npL7O+++FJNdnCr+QO9Wm2hsfuSxMflXbp6zPI6bGCa3krsMIxtohjPBoKc2NzX2Kc/zxMdXC72AjYnCTo42GSGpDxEmx42NgQ9Qq2daMCBjdrXQntvzPDz30eovdRrvUFroNRoR2pxyiXgOixy+uS7miYsrcBmr0oMymCy2tpw3D8S3+ZAiuPCO9r1Y2OGxM3roC9qm+4ToBdxv3pSFkWcYxsTgw7yNfMN05gaOYPImWd/6e6Fwec/Sxyn1MVydVsj2Zrk4mFMh592+DXRFztgHwMp1smP5akjmBOtkS1f5VnVV4FX8chHS8DB129DqbF9mWLo1OeyqI730UGcdbZmeYGWafagTb7a6Ap/L/CCTSjFeK9vyeLGeCTTpKvzdxsP1BIWa3r8YFtbn3KklCzoBMPF3pPoZ78KRCnR2xsqIwFR2P+F3mThfVmkk4Su/S47qQ4cQboCH6ZV13dQ+y69If7oeL8JtcNITXGHcTK9PGz01b/Is2gtX2gTAecLkdyDaS53LPOaWcS14kYfCnuCKIC7ryHSa+QR1b1rfojorx6w/z+UOxpJtm1Ad6SR+fdEFw7G9w6+dCHqcOUD5mi/uZwZ7AV/QPxWRrvIYV/O0Gnadcbq0J1M9QXencmKytx9kMH10mm9ajNnB86ltng+ZvgiuLA+I/ZUwBd0jk/Vi/KJM6WUK3K76VPV5Wqsu+OaRw1UKOKsUIoRQu0sasPGl396sxGfuFFzoaFWZul7xuczZsm1XJqU8JuPzfDkoF9YRGN6FPXQICyeipUOaz8V63oYLCSG+4+TOBCVYnpjOcK3KLOhimlcVzKs1fgCV43qy2wv6YNy3THb3Otn2q0SncUvdlGku0VDIa2sHb6D0zBH76yUd0FVlFMuO+Q5GUB4n5Otcag7vdgyPZ6N7HlvD6bNKR8q1Ky4xk7rRKMNBHACJ+dy5oQf9r4Rwhs+e2f0KZihT2MQSHDvpannTIiwvVFdlA3yKWUH1k7TUlxvGa1JS/D7iwVTDby/ITL/Y1S4xbyCl4gRdXrQV/95+BEFgQnkfyni4A3UHcMbYiQkEhUgF4wiijrYGQIQc02C5XzJEliv5SqFvdPSRn1mI2bEAhWiUcp23PCOn7s5cv1IK7TlV4SEXpSibFB/H00q5tL4slITgpC+Ur3jfcaGE5v4YDjvtyDaysJOmfepwEmi/i3A6MahjzmStO/SHELZR2a1/8h00F/pOPFH2Hh1Axe8jDg6u1M/9btyVYjteRdtvbDSmtHiSQ3AZXhx3pECxo9C67SnzcaE/gjGkiv5sPPufO89TPdkADQaC0DPmhYme3Bi1O8767802QlB/V/Mk0CrhycKguXOMFprduUKOCDOGwfmtDYa3wnPGCz8ifDpfofwO7xafMX6mxP0wnptPlqR6hNoyZ5JcpN+RDXcyh4UL0LwNuE46R0psXPPYhIVDej8KDhhdliQdYGkwL1SFZWI5x/AYbn2RyPSX47oOF2SoP6WBBIToE06TCc5cn/8kWRtwiJhnOFLXcE7gOZ0nw5kMKmezPGdzf4kPcBmmjSjfFkBS+62sVTR2VscNC6lvOhbXlzD274Z/c5Jb3qjjWGXMKMb3YDyzMZvamxZfpdGeb97zbswzLzhk0gJ5wCLzG6nhuJYYTq/jAeV/w6ajq0uq32m+hGecz15dC4+X2s0pboI8KB/m6A158iuTHQrwKdtVtKQMY4mPxLfbZk3pPFf//+y925YlOaolCuaR+/z/53alu3EeJGAyQbaWR2btqux2jRHhy8x0QQhxERLKPCNANH95nF44Zkee7rwR9Ktiv7Gs5ugvp2TO5i3a9rqLA1Ok8X+vWvGBXj4tcHZ6k9RlDzpQO2lG6dHJw7qd6w1fS1aifmG3hH4eDp4B7xOM/szvmkxwmXZlv4/2G/dx6h9+92fYNFfafid9hw+jrnLSv4a+xfNgC6dOqkXfmcpPoBrmwXZ8XGljaHOI+TqB962MLyIcG3XFBYUa5JvGDulisAEXDKBY4Bz1Jl3f2RtG77gKQyVsaun4K01N9P2Kh9B4LRj0OD8j6+EeTLQTuA1cG0KY7RYJRzQ64iZ8jzqs/83rwMZNF6BHe9kj0Q1toR7LMKAajfZ75PV394HfevK6vC3ecO3rI9sThg42XgtqsPs/zvfEsyb+x98faKvwjeAHOb5Nt9n1xToAzv2JdzDfjHatjjfxnppXhPXzeR1v3nTWT7TmVXoFf1OkKxCUvI66fh8m4SSvOAW95kful3J+kTd9DPPzZMtm/d7AxsvgYH6UncHLiHcPegvfpWsg/0tbFNJicnxPaw6tbUxAb81Bin0A26/M3wEn7zqZow8vkutqAQ7z5Bd1jH3Dsk8RrLjN/zInrMiPI/afmXjhHBZKnk5oTEYyh1CKkyUPzJFPpblBWw0Gn/TW2wbBJQqwPzFkD0MGXMMXVUse1XFBOZ5RUXTcDQsPHO60gUNl+P7YIlxFRDxMjoKDFQW7K5Uu0AWcpYFD2ScZdqEPbQJg1bV2PI/hsUz3qQaLPt5/eP7eT1TSso717/Kdg25E7D7HKVMBgenV3Y6cxKGBgIh+et6Gn/0TnGmhRMVYrGfbcMROSBX5ol331+fK83XtfuyxjxNogbv1UE7p+ReklytDGmfetZP5+peWRcrrS1aonMH5YCp1YfyWboxYfmcFt43lva8u/Z8VxjZgflBqRXy8Et+h6A55Y04JwEJKZoSydCXSNMNJyqb/TxSqs0KSm0jghDjMvcL3YIHksh1Z9deGZ4eh8rua7ENyt7Mb4R9O2LuByzoP3kjRa+W1W4sDP41zk+uPe51W/lSxr2v191Mhj4j9sSwg+9ScM1+Lfq59j6l9yHKu7jDUMYdhrsh2yF6mIjecXrxF9E9JY9zxplI2A5wWHYohIzVP0OCVYXNLGD/rY4Sp0Nzm8XrnfI52tfZ3jc2ab2VBa+Pl+toiYjv8fPNF8BM1+XCHuIlcfyZNiEmcbivjDn0r+NjvfaHDPtZiB+aLzR8wf6NfwI/RMRbw4HjAaU6DsQi+ATxFoM2yqIW4FMhPYx+Gq28m8JO/X5KnGyE0n0jSUFRxa8B8/bngu/7c44K8AqNZeH0oI63KEU6uhJeTE+rtpFwsBvPd74Fvi80s25FX4uuYO3BNw5X9KpuBoB6R5FnNCasVDqGx4flV+mKRLQ0x58OgQ16fecJRzelUE+fU77IgAKGXri/vsxY+ktErsk3Es+CmCMQn8jan2eiUJi6DPpMGTPcpVewf4NPrRz365CSMDQKuP32YoDNWzCJSQ+/b/nsJRVHp7axNF1lfLnRkvwrfTaFa29zjuFg7wBo4XW2wUWvq0SY08Y6yHupAJwzj7WRoo5OW9aliNFN/ypg7nbyxmPOTJBfrCF2TPcZhgp+crHgKrWziMspzKBtOyxvyDtnfOl2L71FuAh/Ga1zkwzLvVF5mHh1Z4QRVLIqWaBj75DbCCnPEfN7IovW2WOgbeadu4msPxXZNV3sYMI3el9ioCi9Hx+cgF1feygdw4Qz5yqT34aLgqwX6km/gNSLES3hDIUTF4DpahC4kwZBpGWVo6YW6TyNX2DwiDcOfOpEz5GDe48I5puWE9WubQN654w30mZOTpPSZ5MMEq+uvRzwNY8mJ4SnOIm7bu3NytJrk1RXQ36ib5EibryA6YhMk1q9r7MT1RFlT595lvcyt0q6u8dOW9gvmusqyF3H8J56lkoia+uy/SxlLJ3HwucMc97HTLd7VFqzbxo0+m4iZCl450eqi5+ga6iUy00KU8znveKRulXknUvRREYHN0sB/ec1pj3GxYS3rX/pTRlALPfDijp51mNjAbbXdsqZD86at0WAe6ncHRGZe0b4vOXKJJi9imUjlyhw1KGMuHw6y18l7kg+3NH6Bp+dLXwe95NjHiWc4b2B6GObQOPcF6MJ6GUyF9g48FWHzd76e2/hX64+Vv/VjfxVwvZAhY5ktm9taigBL8m/vpoP8wXcvN6h5Pa9o4gAXzyl0jrJuNOkyDeRBR5lk29YAg5/6/HB9iB2Cbd1FgJ4laS36esCnKPVLcmyX/lcPgLETOPwKZb7ssoSD6dsYTlk19dKNC7S3ceN0v0tDS7mTblhoFPAQ70/RxP6LbMYfR+w/Nb0ptMr9OIMh3WLP2+H3wKRLssxTd93oLEy+mwh2nMw46UcDpDBKgKcwlYe2HwSywORveuqUn5ja2Cy/tOGduEJ5wK1JGtWDwjHnn9+P8LEyeaoWhFfL2xAG8HE5VnBcuLEQZPpF5u/C32C5YStTyLi93YK+E+3rdpijMj8gpSio2PakFL9ILxctWkMF3Gzzd6clGjRPCtqD8MSx5pC1U7htbys2KNx1TMdFwhDwAOPv9D0IQBxA+ibJHzE9KE0m8nrycLHLRMnSMZW10OeKiBueF7Aak+28A2vDYLEQjRDkZYexrQ6cIYzNNM+/g/NXir8OeeL04JDfgAygbDgaTcJYizodlyQjDPsDsAiWZ1j594mnQt+PTigZ+BTkmdiPl1Vo243IbxtY1N6xP6ifG+Bt/8VFipd87Il2UM5J5adY98T3S356djxOC35pGJwBPy6UCPErlYzUEHOKC5zrivZgLNBoexyjE79Cmm4NnWFSMmhbuy/Guclvqc9JR3W8p3Kl/KTbvEnzbZ6xaBrm2iM9H/jpqFqaNP1ugid/v8lgX+Wjk8aj7ob0Nr3n7K5LHfTBcRyPjjuX/QnnGMbrJ7WkHmp1/PhuJW++b3NltgWn8MatXoV8vwMbygnSC33jJW8W4/KneotqeKBB3pjcdAFUUIbT7HFKlhyysSD8NL+GTdN897ffS14cWb5wGIpH8mCF+l7N+YAnBGkv8LS4ye2M/JXlzJAnFgKn/AL6UBTwMhADwPUmiDCDdQZbao0Pvy07GzraBPuhv6HPsfPukMYFzakt0AHWye4hz0EeNCfTCQ5qu8FEURWK7njo61vmFM7VaQMlwsDyyf8+8Cmmn0c4fkdcFdrZP574OdgVUc5pZr+3vVFUdNO1+QdZmwxcNk88S+bmjdsdvpeTsCd984SnQv+97FTn0ZkKLLnBfWrf4XY4qJ2SD9/B84nP1eiEA7jeL54z8C5s2z1uBQaH19nGVdsMOJ1fCOhmE36ADpo+TJtwA1b/Ru+e5Hd89/FCfsZ8E/nEwzzzjVOcisOK4Cq6NzmZpjrO9uMM0zuROaZ+nOcaAu/v4PlwSrjkezeRfvGWTunz6IVcf7lO4EX0ua72DXSuySYpWQd5iXzjXRinqJEnHtLhhTLfbWdo69RGs7FEqvBjOuUNwFjX0M5J5zvyaaozmuVyv0u7/8H044j9J6Y44aLrBJZIUrrvKNbNIW4gUFe2/KTdvr/xrZ0pIuV+nGJUo5JxzUbBeDLWv2F/2KkSE4vauiC/n4740BSOxGxwdzeGooq7vCy/t35tIXH/UrFfEidq4rTKxwIUd4X7zpiVoTKoNRYaTajJukdWEzbE2cqnUabiFYVq7oQu97EVBg9w/8p3eNrSVGvYahuUrEFBxVOqbtTHzrPbcSgxLrHr6wbF/CAkTCVO0oiI3LLHzZ0l26AQkzxt9SUiX/skmrf5tbH+h9PKrvtznRq0XyL3LxO5RT7+XLi7/7DSTkuXBS7jZJgrZoUGd8BpDMEZH0n5Y0EzLOwb5Y2wWT7HB+NEv/YG3T0mIpJ3fLKSDb/bArnD70YcJTae/W+Gj7Y9VkkD3Ebci7dPfOoOoXTdJvIJfVdZY0DKaM7HpBVf7AjHhzsuEak+biqitncNi2T4KP9+y9oafZnor9PgZR7X2O4/PzqP5JBAX0mfAv3EENPOFj0Mmp/mvUTlhhPWaiJfPtc9BOxVT+n5GJhk/eKo87kEY2K/NOcV0YhdFV4/zV1oAsrk/JeYxwZ/Ea3Bi+LEoLfp+J1p1fOGHIQ2fHFFfRyM7o72nfE7b7kLedOP351YwvMeFMFyKmOHufNT86WcO9o1f6tJ7nDencdTkEET0GeVbE/gu37aWuB1tgu0xfwOT6cGvonfGusi3g/zcdalcwA9HUMk+jhanmDkO0uU+hn1Wf9e4SCeE23lSVA/Kb3ol/oFKRavnZb8LrGYP9ryh7GKG9Z4UwSEACu4FJpHInmK88s2nWrAc39oyPe2QDTwedF9AhLlx+bTdf5CmLLAU4e19H3jPjdBaOHhtnmqnwy7iDb0hpC4RFsFITFnVOTep0mBn+EpSoR5zd+lM3mewJHfIywkL4Y+eljAJ0MQ61bZettwCoV5alsEwtPWmnlzF7SUb23BTZxHrPw5xgY4tspPENU7f/DvUjE9k1iMhUKcg/4O7BYM364Gzxu2OHH91qrP/8Np0xfaOOXaltOGNk84xjD/8uP0vr5jZ2xzUMK7xkMJtBZRQGW2nwa+7Tw49a0sz7IuunFyInu/Ue5hn3FefFF/cU5Ef7zjiBPi3wUGmB8iYi7fhj7H1C6TuMrE4Otxgsv1RM16ka/AuD8tSE5OOoTdCG9RtUe+2Ba1iQjLwGaPYqQRh1fXONfoGiS3UBbBN9ftPIKS7Sgg5VRsbGwDYLA+BzP+2xX7Wo3K0u2+HJlS/sYYg32pt1ZcP+C9nTK1+t3zqO0gKSYyyjB+l1PuqAPgImlEBME8BMPF0ZqgD8XuKzpJlRWlXtajNg+cHBhBpwBPhBvHDXPRZo6fj6WdQg17HuHfth1mLgQH2C8DnwEinQYK5GjhRbJIU/+Ejcw72o+Pd9B8kPCmbem4PW0YNJV696qPO8oHlYwIRPWY1rKTzjIeHvF+4wlYkU5n9Fxo0+05rXA1VF/w5RZR1IX9C+gpJtJs/AmOdaq644119WKb3RLjiSfzHWC7tNqNjheP9MQbUCBd+/u0/tRwjHRmIjevDVnyKoyadAotLYCDQnMqcv3ZI8m1qHJ88raiBfqQJ8CDvlkubLiqvZi8bHTQBV3Wj2ijrrID034jNf0nKpSiMx3tEBq7IrtPZZgnYXWwka1t4uK8GIHFneHMsyNvf3fqE9rLPO/b+iLNqZPOMuk0rX12WEqlMXxmvlR4xAOvwnX+dadqT6gnuo2phRZRfirBqTtLRwSrK49OTup3nEiN0BKScwLhkvr7eMiMaRXqc1t6BGsYx+n5P5EelhR+0j8tHRn6A6NvZb5LlIU55QxYpyPs20Jm2r1TfofQ0PZ93H31blsP72cHkcbvaN9hAkaLDO/t9J3s93AKRUTGXdWcRbX2lQ0YEhxZocZ7/IffajsP8KcdMn87fEeFqSVQnI59AOEUtjAt4nuYk6mtLtRNbOoEvnI8neAe6q1tEK6f3rNAh9+oTI5G67vp0I+xzkFR9bwNx0O4l/b3lhaiaurr05i9k8YxnfrzqgHUkOgEMNerti26YeLgOKOzMkLFYh5QsMNhiKGawugkPjDRE84j/3bgt8VIxHGjfpa/1Hbj7QNtt3fDvIg2QDm0Q34sh3jCPnVeKAXPjzDK0LdSlz3ChCd02yLDAHMpy7DE/Cc58cCXjt9PZH9QeMscfijfxu9BRiB8J1hRH+n0aFB+0ImcT9G/p/TWCS6Rqtt4uXfovbQFn5jeS4SSSjO1EnhPPKCM3VBGEe8v0mOeV7rCK/qcvrE8kWEeF7nBhPMA0yFNcprfv4OvI7zx3doYzBlfgvycoN5T3/Dbo85H8BydN9bzzI3+hmD/SS8TLm7WDw+87W8eird5KCbko4+VyzO83+zLydGFMEXV3+jXy7lUMj/wgCliwS7TFoYneYeLZ39lnCfb9ADbu+9O9kV79wJ2tjNamek7lo86tOQPEP4KH4Z61Z+F4HkqKz2PTv2SnocXlVvfv0mjbJfxYjH/K3kYTqjv2zrqQ+I2lGHGz0WePWTE55Me5u/IVvCQwo11MFFN7fE7LAp2ZLEL3UkKNtlocx1sr6OtM3w7zotXND19f9I/nvTqoZx5vhd2X9F5pvn+xvzA8qPTB/GGMJ3Gx8vSeLMNUGBstDL8eyOxMxj+DJnlJS8pa3VofxEv5qnXeOM3+EDjSVLbKLbkke/Ul30d8/syNeYmPOPfkncaWxjHiW5ezsW/aktQ4msokNd/d83uZf7fsRWY4Y784K8j5Sjb3kzTuP1VJ+OC6S9Wcqj3LT3uRXqrzy/g/0s62d+Ufk7E/lPTiaEr5VGJExLlhJhnwTu6YEf+dG8rLjxiSGO/G8fbVNz5EIxe89lhc5BbuCUwYvBdU0DXe72eQ5OqWexEzg70PgW+PkRMNE6++t1iopnn/h9dfd2wxwL4597ds/vsJ3bLTo2TQbxhKMJ5j5+pHO8JyrJzvUUYm+RJ6I3gdSKy4rec+NJUgNLxfOBee2eQC5XQX+C+04nZ2h4ng7J4sjnvrdLSJz7VFE4pSmpVgbk+V977/5OyU1G/RC6m1XuTsd8fue/fUKhPgb5cuXG4rj8rPeve9VzGSkHpdzwVBEE/YedZCaMGfS87uS3rDYPLOg4DblhQuvY9osLKnreFJ3U2bNentHkV9wXSvJuU5Ph2Q92Og+HuZkU9ziRO2TL+Jv5x/Wudprn/WJXEDk6V3LX56865752IE7V7rm++GqTzsTpmXxqdcEPabqWOSfDDcMJSWkaHtnkpInJvBOiXyPXpNCp574/jBWjBPvapcgH+cEG/AMdrSjuv0EJDmK/cgertqETY5GIkwQJvMS6hPPY1nJDQdrBThMXRhzutnb4Fyt3iB9ey3LVOwy8n/75b52uvRdySp7DJ2Tk55XBRgxc6wvDBE783jYU/bPpSExE6JRC77nFuX2v+XaKJQ5r/Kh6ZAE79AU4L+Tm+9kl7v5NqncqY5VFxrOx7kr0dDKEtcFJaHUaAOZxQvnN+99VPWDvuHU5MbED7rmfkNxptWfBA3SdbLqnhgx0OEeJBzpNQxvr7aSe0iNiHdhm19YWnVJxymuEMY803dDbAB8MBczFP8FB/Qpf0+rI8ypcS6tNEYlcwjN36nsLGrko3J2dlxFMDPVOhuULPyP9LRZYww7gkLjQKB85cng2nyo6OVdev4fT0ydGrAvjfJ3ULLWgvU6rx+x/V1ikMLApyM1eLEk6XA/7e8Rx43WNzWgQUVTh9Tyd+fS5ddYyRFqcIBy0smPOgS+IO3bJoSDvPfaw+/jXzop/0RmKm/wYqMZpNS8BD5uhGvR7mfY+8MOoHPvrO8E86INcLFZlq4XcYzhftpcITp9M9OMehfYzMdII/aX8H/BtCFI+2gogI6tyX21UWc7m14/jRDlPACjzf+R7CcOTnkBwOfB/8wPMXOep6S94l3OqjctM4oI0TfxEVwBsTTq9v0xvoAJftZQ63wdxeEefz/rBwWZwikzyi9l2/008//ZWy1aOyBM3BaTcmh4ILH2eU0QZ5Jtzezo87Xk5jITyeU55Bd+tRSqhNyru+7Ze0xoM0XCK1xdjDYHkCvPhY2h3qasJxSy2rEvai2r4j0KPGeLr2O0SIjzHo+XYD0jbNqMo+EbvXky5ZtiX22VQ86ta+wCdp7taILLXksMn1pXmH574nNnD/FcUWz3G8bN04YAO8+TjhPMRuoAPQPnSci4HL0DNwQPd8fcHr0Z7hd8GHJ+eVYrQW+Iu6m8C3XY96fU4X0IewawhHLTEuof562EPaiV/k20dn3FX1JhGJDeHtFC3hHdd/Gt+QdfJ1lKsBH+hxaoU+Wn+5LABxbRtcbNm4/rdE+yHnbKmGZC0fQml8Z+cr0ZugDsUycb+mEzitxRIfKzbZQA/9MJCVceZy04GgcR62OTEN3Jw/6+fn9UJvth0y4zEiJs2PsMlFOp0APMUu8XoozzHR6Uls03UjX3vOdZvNfHBcAbcNXxh1ieAJPezSVpbXKLBvCvDEPbRT9wBn7Fv5TipzqPUd5w7QvuGVZxyN80WD3GeiM8xz1DcfDiMuXowAaf37H0w/jth/YHqMIT8oR42I9w++xLjFy3dlleuLZ9uTbRkox5MHJEAixLFIn3DQvzG2PTqaJoEq2T4qKtHnk8MWHzFsp1KY3ltyYRiF9hZIGkaXBv5WGELsnyxDGvDPjgrsm33o6IQNHN9goEN9JwbDIbsMrUfxfi1VnhfLmsE8wJPMEPrH+JKWBYAHOO4s25QArwJoKRTDkqH/1i/LsJwIm0qGot04UdukbrIMF9nO/2G8EBEmms4I/PQdPDRBA4pKCGWoy+ebz3VwxBj0pbVjshRyqMsVFBVacPC6SIFXaFO/crGKT+04TrFtrAPnFBq6/r4oYQZ/ZbUVDrxBkcuG9p+vnNOCi/pe9jKRj105hpxm+EgTU7UVSvlWqA8Gice2jUkHvIylV4NzdhvaXlx5bJAnq4RTLebznj+saCc+dzhidP477Ar/DicFC60ijz7Ma5/PJlIcmtxuc8Ts+iaR2Op3Z1SrfwfCM6n3gUH9zXiT2g80/psTNv4uJCQuDhqm0V/oWHz6kDDUA9cAS4ztnrs31ROVTfxByjTb/aYwMKxpe79gwhe61OQxWEVzHsOiN4b/bwt1p6SH/MR3BNs2qbrQhuNkQK+QuwAn8Oh49rk7hHI/hd88JRvqibG4qX9MnyAjlrxcBVkvaI5WmKdPp4ELb+d3InK6z7MYuOY0ux6m8XXdBG4kavWFTFeYY1RHkTfSaeOUioMQeds7Y2gCRnIuStYOJBwOe/IRrUh9gBf1tUoH2vIoMFR0Anke5CMO0zTeDvMr2KJ+ZuLgBCtdnHani8gU1vknvZG2vCibS/wT2mEsI1AYtHF/GAgsd/o+1Ilt/24ov1N9Y9+mNMA+hik/yM+W7YD3bG/zSd548E73H/qxppozFo13DdSiP9Z7Uts7rPtNGdb5xxnob9cbD/ku9MmTDIB8fYFPKnIs5Yt5JTtcYAuJSTy8Agt1D7pjfbHzhY6ipe6ih787RV7lm74THl7KO5JjR8V80FdKGaY75TKhuJR61vjCxron9nSCD2HC8RSRXOTiyrBSegZCUBrrteafedoyTul3R75pOmFDVmObqA/sZ7tM1FIPiXUC7LNlfmw6nI2ojgxzzNsukeMw30mfYp6rMPde0N5kGxaYwC7h77UiL9ThRr1MqYztv0eejfrYsRMdvnzeLvfAJwtjaEZZj4Y5dOIZ2C7neUOOI49HPI38lceG2zHpa8zwN5omfnEE8YUe0WSi85ihTc/vcvX0/dgWHnJ5N/F4+NySMz3hWLTqkBa/I0Oe5NY7NEP8vjj2oEzD38OcYfkxry/5ZQeQb6ws4RSp+sK7Okm2KW/D/TId7OjWnjy32fD9lAdfTXwNdNa3cPMdOvP830zVF2Uy2b3/6fTjiP0HpnKvDk80eEaHYldmFHbvp2Lku9Bz8dJqGXyGO0t51yXvAHZYV7v77/XGDKR+td2d+Ii70fj7iQGCcr8eEy9lURXLm1RHslAd7oR1h3MTmCr2azGsYGTXWvYMBxbW+zU4cr157pPD/pFM2oVNw7Z380vWQvKws2318z1OmQunWX9bjCN6bQp6aVwCpmJ8cbsbz57n5BQxHj8zuf5cJ9+i7/c+BYqn8Hyu7Ps7VhV708Jnhak4U7aFgoqhRr/2nZDoOBMoRsqeAS5Cbu7d0EX5OeF712tIuzgGJ+UJumL7FGFdoJG4IzLybZwt+xBkMwABAABJREFUGEFxFemONIeHlXNS5DHFO6j3Mom7scZ5D/VzO+skpIj92nNgL6qsRQ9du47RIIGTiLqdtC2aqdehthy5OGk/rO6UVsnnuJ/MKlFgvzYdmZ/UvqF62Lka9xr5ex4j4mG33yMLm1zCKMa5iZtRhOY4jrWfOgX4ivHPc5nHfI+N/Vrt+QnKJaeyvoBh9xn5mMK36I9J3quLKPBxuETkz4oH0w2H5Xve5IALPwWOqZ8xlmsXe3fE+KBkG0zHPI+LrHER8pFVmWzSfaH8xuYE3I0tVZ4VWeHOZJ8nBJ/uxvVr8VadcGj5Pk60IxuVzMMG0dHoJdnMYTZ58RX72E44X5LyHeX6hqss8mmWwd+B00nOIR0LzA3/Nhg27OxNGWo5b/G0Iea5DPDLyHMYNg8PwTXjLJ5hN3jpi+RYsdE3Oev64vzAK3ZZX/goDlXoA6bR6HInIMtP7BeXBzFjie5ju5m5PpfoHodyEXYs5tQwcSfZijCrAk63zrn1ukWjFJ3DQQx+AvLOF4fplHLpI5+qBbiSP2bfuY6Ts3/SD9bv4YT5T3pMYctZxXNGpbE6l4CviUhzID4tanKUlvUS6sa/D3KpwLLzHjeEBN/VBluxn50fqqQzf/d1RXYi2lIJO+QVzU0bitvmgg+JDX4oX6J/A2MwFZEP3+SZd8c3HkNjVmFz3mWCGy2iXCuQ8qu8JvuWVdaaebcTDBTaBTjUcjOt6w4pH93GSyDHU7Kup2QmcJzt335izeHGdsiuctkV9/duPVJMVoQp15VQFvimxVv3SX5oyDuHOGfZj3PkshVt6wadZ0qTeCDZHfC77ALawbyGfOHOk2GIv/BB8qBDnpNMNcofOiDggtdZMhyordNxkGdyJLhoX3LOah7Hw8esiwRtK/QD4DT+7cVRn+A+BmNaP5c9jYrU/oiOd0+3iolWW5Odunh/sFH50OsAIHznp54NTv/6HMLT174BwOvByGW7nSJfglY05knReRpcAHsb//oc5X2c+O+QJ9rSwe6iOR97Q/Z8j83qjFN3ZP/a++63bAq7VCXsKi/nOBeBfgK9+ZpV4KUdMNi8X6wcqjHGh1Q4ogO+8dw3dFqFL+Am3h58FPU0nyNM97BmhI6uUVcHmio8wuEyibUmRfxiHQgn0GV+HOYFw4N4EAH+YqV82rGWvJF4D9ug2akO9ym93NgmIuNG3mFexfPTaUXkd9Na4dSuSNIgjGfYK8M4Rbsozw5dPck7wyaZR0SmcwRKtKdO9vUCMA8lKehcsUz3MES10rkthmEUH6Mc18f+NX2t0HgtZLufJd/UJieH4QY/BTm5Y014NDQ7n8I2mU4nuj3a9t6vE+jvjtu/Of04Yv/JyYmWBI3IYor2ISJfGganh1MJ5umC7GMZ3yFIURBNDBTaaN9UJJxUUhWy9TkdarxDkZ2+mNBRmsoPfCfnQfk7Cf0p2YLPTzBm2FkJAzDaemcGb4HGuExDW9PJ6jtJ3LntofFcUAkwm6kvmB/bUpGTQzby3tmAfUgZG17sv+EU5LRI2b49oKktDlP/XHH3cJGiVeHMsutvfCH8VIfsokcPZ2KfG3XbsaSWQ3F7nbdsQbwpwJXUO+dWtAGhbWPO7TFEZc0NnohURMpbjk3W68qRO6Uud4CSw0RkUkagDVzAB6V9TFgOcBtGhCvHnDQV4UnxRThdQY/hR3m9P/BCe5DOnX/DAfaLBDMYCbNSunBq7og0yd3AKkkIO3yUWyMeLsrL9Mo3Hj7QIyURtngt0Oz3vmCjXYFxmhtxYB6mZ328PyxgKQsh5Dia6GGFqxXRT6BVxB/mvRJf7m9WWKgJnGg+F5zzAg3OVRdXbox+rJDB158KzixvICtd/bU2F2JhwptUoDfAP659fHxC9bvg/VHpkvkfzg82qIuhyPD5AgjA42B5SDr7yEWDaIt4czH+PS/Cc5M8AjijbcmwT/Zrh5ue5hLxWAXawM0AiCD9Evn4F/UdFivcQVSctNg0Or6HBT6HI3EBE8Vxg8bCpGO4zN4yH+FHvaPpHthfE9gosOWo0EYnoodYCJb6PYxmjD6g3hegWZChHP4XU+h5N0U/oTys7yHvKWMNjtWyxhx5QafhaAX+DvF2yeJ/6MydZNPwvhjHBYeQUXt+dB6Mhh21NRmD0QUK71v0Ie+3eujCDlPrJn0L/k9z9qkel4spKxxPJjcuyBDNjAu5CjKdYJyMaS9nKkWXLLrf/quS+BlPTMt8ctiUwuL/pLdSu07G9RU+GY+nyUoFw/PmQ985tXq09Q7z9hEOzqcSdlvL4910GWe0cXmQ2eOis2WeFi4V6znwsShnPZ9JnWulqMqKhHTzvB3wNyTmY/4O2w54GAbmj5z1qekJLudDjK9Rxlf6FC4HMoD5uv8eF0+9Hqi3yQHibRzNY71bhW61xEVRRbJxd9qFAw0TNI5OkCebekw5zbtODrom0ynTQtFznFdIpyEvy06cWtlcBufBsa9WvxVb0SScZa5Pom1ddPppfAMWOO1NulnaelZJ1Ps1yCiG/3EMVSISJgAk9nVV3CFA7hyNfx0AE6p3cuxduXHcRDIc9cALEeCICCMJH26YKE5Y2kSL/Y73PF5C4zykSTfgelPvgAl50qWM6NvVEubPTksXfLyBZgZeU2y5k4zQ/j7WuoB3uzN26nPQ+Q1VA904LzIVub7oFDXXBeUbawaeG3BKztPmpD3R/9CNYh++oAEvFFMRxgDraLyFeA6PV9mYhuVd1y/8HeshJur1vXkC9qRHxbV3g46E8+DkoGpzxWoZi3Dk3xA21Cbz6EXrLhCy3VNY/Kj2XRBCfmeBaR2xfOM5L5nfN+J55jykptlGzAUrTLLhgGWNwDgVubTqPjoWzQRt7mOKCUB5yiSFVwFLImR0/ErtB+tRRad8ghPlcBQ+R7dqbb+IqnVydM+wfIPG/03pxxH7D01LmdF+H2KcUrLzvajDZBORuvCJEyUmLEgb/LuZVrk3B3cdjx2YXwcsKGRMqsAhZYh3dI/CmvpelEZmCrv+ZlRjnkNqC93elgJsRanVnUck7vaYcGODPqSy73Wcx3PBPrxvWpSUPvt9PPWz90GyPRiTbwnLEc4ct6bQw6mVJhQEhg0XkEngxiLtjsFv4GBAwyOMOf8N7y5Zp2flNpGPLQu8zVioSYFsKnGv7GRE6C1lx6AAnNw5NcnTki7Yr/xdFmhBGHaFEhRTVw62MlSM/al9rFek7JiujUA538FNTgOm5eKEGL7JDb8dNkhG417wcTuSZDv2pYyxbTjjHkyV5ajQ/F6spQuRXgG12/me5Fh4XTEZF8DFSRZVAII3Ukx0h8bdagrRp+3NCjPyCI/wnlhR0EMJW4tlD3xpekaFDBdEcrGqlomFTkFFbpf5knUi1/Opo6ZSUbRHzp5m+KdYWSdj9wO27aek8XRkW/yZaBDmcvwjxdXv/ro2b2jZBl5f5uslGS6Z5+rWT21/iEWjZEtRR7RxOt0G8IgkXgvAJnm38HRCV/J3GJ+WfCG+O9/FXceDrI0FVr9b9nBiAnmuydCWiJSdkrroKTf9JH2dFuenxfM4UTYZ2kN/TotR8Q2dJZC/0Fr0C5hoyIgdzQHgw1D5U3QVFajH24Zn3EihkjuE/VvcX3NtHEbElXX6m522J/wcdYrTe4RP82+p1kR4t65IpcuARUFWcv27LnXiOuSZdbmu4034qDrb1ik2IRT+c6CrWMiEf3gNQ4Ya5Yan9qFemYdgcuywI7oDesBR0fct/pbtAzrj7Sf9Zooxhs27/slPIiK/xSHyWR+6b34c7crdHm/6QFvr6ADGdNA/ZKDdVpRtSkw4x/EOcAG+TrqMb9BZUUhQj8v8xmHgQd+oynXy4VysH+ZE9IV5NDM+Sng1Ttn08lDI+aNPxw8pY+4p/ELAg3jx7lVyOV9shad5rlmmLKZrwjLVL5Afx4oXqkOWbL3lHjZjKUZH8jF0WL4WgHbJthu9HAO2O2o51zBqSP6jyE9v8MFRh0e+DrrDJJuLLER8C+lYOC8uGkOoI2wBx5Hbw4g3XjMp32p7Idfcpp76g9NuknNSeZCntvh8r1rso+ct/YToSTF2IvsqlF5W97vQ/RwZ6vlhoHyOvzPuDrvDsmGIccNNUkLNAE/1jc6Nj/MGefhoIrnB/yJ8n+bmSadBnftUx0ZX2TD5Bs9hXnEsQvPIRNYGfJy7IhGivESlEijrNI/vHAY+OazZl2YDePGDfhU/Q45gGYv6bzG5bEfmU4AZ56dKbhqGeVzWkS7I6zACLR3JleZ46tlaeFfYfTgOgEuOZIV1xt9hA03Jh2DxoRiEA/mUiGBEvpehjycbMaZ4D6XOh2QmGT/K2cFBWMYG24bfzU9AvOakP41kqDVf4y3RZuXVjxj0ec4NxiGiZ6Cmdcj1wXnwgw41OQIHBzDOt0LTr/Raqqf5aVQE1y+ag/lQfdju8eLMax1Ok1wTOdWJm6efEvOgOZO3ffju6wdDmy0ygEjY+pOc4XuN/1PpxxH7T0yX5AIbhkwRyTArXxYLcBGeyRkpn4jxRMx3SsXZ6qf6Pm0p0BeFjzUpsGF7a0FQzkqcLRWuGLQiccrOPlY7NSyq9fYcXxxuCxUfCA/l9bR9Gcw8HphFhDf8krIDMBZAvR2xoiiaSZ4qc5x8WV0IFhKAnpcdMfCsJiIfe3EUnJyRA4W/6LzwEPgHJRfHxPOiQIBFMzTO0Ug1+O2K1NcfVUFZ7VXcFWPO6z6cegyBfe/pconcf2SmUB5BwbMPEeXTYF9+glUljZK1CG37NKHcWhQJhwcXRENIU6iaGN9LVrgrL79PaH1sR2E4lmCXfiwGse5AylMZi10eT8mUcpJ4iZNrSv+oXofB2UA53eZhfRAnkr/9FOb9Ub/jKT8Oc9dO7En2t+D8Nrl3ODe9Vp/LXc9fCxC9ZDkLbD1bnIKFCWMiclnHdbSPg6kiX8tgv3a99+dH8pPoZIV98SwPhbZpzHn+nrw6nLDmvqNzncOt8WlZp4lbJE92OzibzwY9aKU5pu2AC+lA6Hvga9Ok85QPyHuLyKfI5fTzUctEOx7e1/bYXiKyT0bbLytz0xwhRmPqY3KZ2C+Vr8tWKN3PGrqTFwMKTvE+cR8DwIegIvzZ64q+Ib72Al44YT+Aj0vSwahku7J5J8/S/d75ygWnUkWkLwI4PP5bJBbYXL65vBOFTaRfFQ+OH/2ScKTWPluppxmLW/ZcO5T+ZDSzoSdQvMaPq3mQTleYfi28MwxjHBsMyVYcpuC00B1thE+JmTS56mFiEdbiyLptyXHvkNJ3pGVJ/maqcsHObXay+AnZyxcc4DT8adE8+PAn4NYXCK4FXNsAsd8DCuZFN3J8T33EReCSHH2bZ9tlfaPBLWXw7Vp3X6/wi/ceG+jLFP7JXC5txzvR6nEhceB/sejqm8R4sRLzOl1+mVy3z9WVOa8aAXTcG9gN2A0hTYNnIxyYUJeaFnMKTT2U3SAU+hYfTyPdUAEnq9xVHHkJcODigKufNCTkAdNnWOTjzZiTXYRRg8a7ZLltfuWynp210/xxJ+c3T9winKWtN+imRGKiMm0RfX8POKnNYp/c9UQLhn+Pcl+ajpmAZwAS7T9NWNt8HmxEJdubT3Zg6vb1CsVZNmGjDEJc4RzP4pkX81G7hf9zvwjU08L4FDaTeVexT7Gd0EXg2qJfmmXdfvRrM8JGcZvbdaYlACwqh862Plmekt2OiOYAGPqPeGoJddyh7GSnBu4dBwij5ZCr1++fXSfFstvemOxz/3t91WecYwgfOw+j34SbaIvnfGmDEEbjPqXmCOLyamuxoFy/pYGsdi2XI1F9+lnqQSqLD3gkjSkxLArXNG0a4nE3kbUR1XVxynOKnhOo9HmDG0JxwR7gCd53UX6oF+lTT7jFLr+Q/bhWgvWyXhL99foQfp4z/tOgjGf72Cqu1wm2MuLANxyIEH5l204MR2lY1tji9yc6RX6q1BWGS2BsjMp4Xw+ObbcpS7Q1g/57PR5dTCGk/k7RpG9m39SOPAkzx7qQ/57mJMmktg5h0vklt8N8Jf5a+b7qzTn7TuLxj/pV6nr1lj+18MBL+T3q0/StrD1v2XaUHZ4HZRbCe4Kfq3lxoGJ61+iE5m8TJzqMqbfv8x83tgI8oz36qv4BhlGuc/2KMu0Fs4PysRZDGzMYvskpH5ukBeYm9L3Uhw5PH/cX/LbbgXn62ufyuGYx1cvfmJaHNieZMOFHRNJ39HMi9if9bmqnNF9MkrkS+G2d8bd8toUj7dQpebjcN2Diu3teFxjefRcHh3QK+xCPcLpnBA2VWKV3gT5Y7DjVs4XGtDtcTfJezGM/9o+9iPuYeHy9Dl9Q3toaLsS9SmVBfJDhR8HP31m5f2LgU0KhcxD+vPM4FnunRSJn5rcuxw0KM4KxK3DaBT/hCVMY3gZyk/oyLaKW34Mi+2joHPhJjCEZLDzODMdo/BzS0+6rEZ4DnIVGDOY0jHHAj05Fr9ekDg7ixJ14D3PAmgaAwC0NIhfw9+CGsrGe/e4ZIRpxEGJjHo4BtDsatDy2b4TIKSepdvm2IKZAG0NiZ1+823WFoxEXLNt4cKXrXRiJyGOGeVT6rrmwrJhp16fXrpMUSe7Lqa8vuaP3keZPJJNRsRzpwOsrfZHCr4KMlPIMdUf/iPehsh7V3/nNn3EetZOjNuAP5ySKXcDjI85fjEtZvGS+LDDN8R2fbqK2xvRoqIQ11Md1z300mEp9JnJaIOeF6hMMpwWoboCd+WqtEPox7Y7GucvyG+Cd2ipjNcDxBJsxPNx2o/kNgDtVX8/cPnZRl1R80C7pNlavmnkYh9N7LHPEa7yo+Ua4Tru3XfgQb3QclIX9AcbSj6PzZ266fH8Tlz9JUm97A2dPDk88ITs5uRpvH+DwyAEjjNgObYBx2L6TStmrv/vbEug3p/qrrvzi1O9JhRTnV/v5UjFfSJ34LpzqyY0xJ8ZigvdGl+GjsZEvjQhKLCenhbaTLJjSxPuOTliSE2/TxzQXDjKnRI3wCB+y9cQhkkLRodTzuPK1cFz4LzNFW3+POvz0e3oHcv1luadkqT+2dwL9JRkfJMDzAeTF5Aw5rkcNcJ2S09BkZ/t33Iga9WHeQYaavy/ltjz0jx59hGHXqcMy6r/LRkxFqd+7N5RpSJCa6aQrb3tIRaTOJUJHrabQO6KCnYD4zxhuhIX78x06ZbqnMR91JmyvjVXCG6AaqSvQzrLJYW4byIJpyAe9y21hI3wh7E7Pp/C23daFup42RbtNDGubES0Nx3Aqius2SD/7P5VQFyXWPmEtrFzz5Hn2/MQN/T59Cr/xeSwifHBldKTiN8jL7/he2JYnXtTvI//1x5NeQJu3jo7PIjPmurKOGYbH/ENeXgv/dqQSmXn8mB6qPs7fp3a+kY76hXR9pDgB35FTpaFN+/IM7+zcPOCBypUiIf8OjSFN8Xvix02mwvvSlqz23KIua2fcjIm0aKBv9HG0j79DVypytG//F9OPI/afmErohU1Evjsiwl+A805dqFklxs1Q106YLXB2aNVcDF8F4vSHZNvXp9W6Lm1Gbtmt/4pBhoKn/R3uht7CqdxNqXu3Pyk8LpRPp2WN8IblY1ctnMbEuzC4/VOdrT3Ma7rDGlnRz9HAloOxrve+o2SPFxu+s9DyU3b0HYwPdMbmblFdDseP1EibQvHAz2InFAr6gTGbSpzkiR0r0JfQK/xk9D4V8c7CcTgKYBzjVOiXiHzutvYu0Y//k/As+trfP9a/UBJNRT/2PqNb9q6/vePvlqZtuxGPDovAPSvQrnzuU2TopLq+UnmLU2m4I1GgDj9960bFve5rLIrXld/iVCGC7rCIyP2HwIn4XR53ee65ev+y8QTC5LjNe+z2vPvYdyN6WabXKRnQGu3mRWc5K/jXvxYdff1/zv+AX12SBGayjOt90irmSeGrmddMkjdvo/zjf+79vN7ph607gPXKjRVAF24e+3wIfP3aO0Yh/HXbNHDD3ACDEOnIhlPFbOjhIkVRlsDm8U3etk80X3DiszmJNNGptsrcHwvGuO9vMmBO9TjPcGCc5lXkxtMaBvhQidBiQRt7vtrHjlZgKpfjB3FLjvuT4XGrNJ7vCz/3Hnc1Ef0XnL6OCmBsythqwTueNPe+sOEYjmXvN8BteyHRF3Fx/ownY2X36wPuEvZvWvHr/Y2TDkyn++/1ZUkn3pbTu/f6ljansc7MU+9dH09jm6ROoNDGpCc0ebVpBk+AhdxOQeWnURHffoLRZdB6V+/sMYXmRxmedWGeaiRWHYVPTUb1HjVFFe7AyY1FTg8l4oJhvSL3L4X6qA3fVcuyHsNhwt9i2Lm82vUUIxLxXvqdbUqUW+3haXU85brkncV8Q/1TvaxW2EQEQi/DO+jHtMjjerLw7nNwaGa7G5+6ooQgvUddCJdCOcoTzftVJsgHeJ74WH/sb5hoFTLoatcbp4QvFfulWw6s6Dxf2z7AOWq8OdD5g0k/wUcJedxfWXz5fyptvvSuE3JyxoatKD0MO9Z7uqvUgA7a/L20zBc16/U8yNznznBbHeZ3FtKeFlKx3mhz14sREsbwp3zaSJMXxeYQ5/W3SNyZ7O04fxAJ/oJ8tSyU8bxzR63LItxAshstjqyQt7b1JanrC3eOFS7KvVr0Yn1Kp2+nKhwHCv3FPmNerTiJ15btTE7jwOHX9lV8bHVuj6/rSy52dAvzFWVD8kqbiFBiAXPbzORrAyY1dOwB7vhL4474U99QeUuXZ0NCByaexEF9s8gbo7KeDeE54DRg3LoZnnibIs088Xx0lh4XgJ0+HKYP6fOJ+zLQETqQ1qlAFVNbV4P5d828qlJOxMaGXceRf8KwxrLKlM2oUafmtUX+zvUW5x83vt9V8nqB83TRtBV3mTJuSA8mYjvyEOvntv/D8Qp7EzKxjYjlnuQUjnE8OyqRDwBuxzoOfCXKUp1qEmGHU4dyGkhdHqOk+GlZQ/zTdA8YANcIm6Gjck+UkGFQh4oserA9rnu+xhrRtGHZcb+P9MZ6otMwjB/iG+VBdKfo2dBPB9J5yKWVZmAehB0oUiMouSMW1kJ8vSlOdDJvZLuRaLK+t4rIXX+xWx5k2FNkj5PTfMyL6/bC1/69UZ92m7KNYyvT264LdSJtbd5x5uVO4JBceIRDOszxzPXFwg0iz1p+hqGUm5yTemQZkEf3QQnp8hQnJBfz93CN3bRxN0AlGX46CcuwndptusGhHualdb4v2E8yuMj0TcXTlTxn+Of+Hfs8HFJ7VS4id72hB/270xtnYX7Sf2Nih2O5D8HfsQH8ZAS9UGxL22Ace72nugtM3yV4Ejgl1BPBUNorAqgquVhe5FnRY/xy2QLHuwyG0xvM1BfbxsXAQ7/G6lre57paeaQ5V4Je1flGvbUCru8v4Pad5rA/GK7PlT7vMysS+BvKBE5M8++d7/xZaP5Gwnda3zUB+l28DOONY1qMraHsuLBMqTuAtNX7Dp9RxgMbJq/SqzZ43NAYhPHLPpNmhu8RVNCn2lSEFR59FwlqFN6K8xzeI83A+J4UEv7WlEr4V0JnsqGl9O2NFG0PMDwq01AunrFdo39Tor4xXNXY7r/PnTq/jzGBOiZeGu29qpvHAPKkQyaNkycjrOGM5oYi/AN+J76J7ziE1Fpwswor9dPnZyzQ4cYknpODvKjzWDr+Hr4djd3Aq8hLWghA8u+Jj/G8muQ+L1yy/oVG+3dCZTWYhjLFAD4YsLXSNL7e0hWi3MO3p/R0evMhj4LxPo3NCOuJX76TfIz+TUbgrIfVeRZO2EO5Y5/eGfeSH+o+zNGpDZ+3j/rvCZ6f9K30ZMNhOp6Q5cXObzXOlR2+P/Hw77bxze/fCYX8Cg/v1oUbuHx8WlQFkZkPXed5/SoVOT8CxvmtjT/axbyAh/KA2zk6yx7h5fWI+vdcLvM9lrE5b/kGuhLbEr65L76Bc9XDD8dm24OehPAi3l7Z4EVXewMnretP6w2Trki44nxv6QAK7Ri9bwDSv1ffh7yMr/xnBebj2oZfR2QibidqCCyBv0N5kWULnup+lZrNAvqeJtBoY5WqH+jhUUcd7CFce5t+P64vPKWn8Z0S68oP5U7z/fhda1hgtpPDUYLj8N301M/TmMigTurwm+wL/H0cV+wrlpvmKPcBeULwwnwvmw82HgG8VKmucR1G3pBXXH97bx1ekFt5ZYrJ206ld2n2Ie+olz3RlQ7Opb/K999ILodPa/Pngr3tt9r/Tb1/dMiWDOfGn/Sicf3mVXK68n+qj+0/wfWd9O4mrPcr7JmncXxqN9eqvtHuE74oGtVvryn8L6SfE7H/1OSCQxajzt3sSW3tXlRPYNyJiPgdsrmbT7YAhp27RTk5CwY+UZq7nSTaCtjIwRCwQ96ye04ALl+8xRNk7BQZYA8l/xZRsb4zeOyT9dNYXg8xjzFMF6fJuLicb2Th2InCxV+EGD6FMZYvW/iDOxhVJE8yb+Vn7W7cefHy62vj9Ivan8DxUxZ4IgcUu2nBryhrkn8Z39G/q9cxGXvTokXZnb7LRQi0fdePuhGxy8UdprbvLQOl9PqsFs71JfW+WIF+A4zsVI1dpvsknIKGXe4Y8XfeZy+3y/jdfaU9VLa9n9783gHpJHj/klSSRaqQ3DBc/8r+M769T+00BZ6CYONsw3X/sToWcwnaNnwG/E2KpwmVA1yFgr/b//ojv+Piidwi1z5qaR+Wd3RG3bZPeScfUhGRW9eudwDUd8O6c/r+vNZcckMd7qlGviBqe+f8vovwYw+U0Y75Pf4XLuJw/5GmGWVOk3wKc1BgXMlC+r6ZV+98I4ncznugHl/A8hOjiAeBsf6Qde8rvHQ84ImEoFVH1y/Y6YtG2P6LTkuHx3SdktZb5PpT1ylmXSfCr084DX5Q9NoC9bX5txotVljenyS1LhXIR+OHmwh4rng1iReTy2kSDVzN4qtO2/MP+Ndd8XZ9itiXZChpGDcXxcFHfYGx8BPLuYh4g/4Ug5z0GJW6+Jv6QLbju1Wj3gcHEJ8c9bqm5I5OxJNHB4h74mguIG8d6cQGHiYVN2UB6KqwBlzeV8BHXWmUyOPPXi5OJW8cjvdvQ1k1iTDl5TOf+NXavwLOxvG9T1+WyCk646TwBJrPftKy0NR0qpO7FKeSNfOUOjrsoaeqxCnX695ziU8eI4x+wnY6pTyOz85Dm5r0lhJCzmFp88mZAOTx/rKuFAuJ8cIaDa75lfIuvvmGScGTehlZQG/Ju4pFyn1yxmPq9ytigrFZ82nhZFx4+kk9XRq8i0+eul6AJ9rLfbFsSxGd8sZcLMcRBHhTa9lEMkQmKgn4OPO/KbX6Bt7zWN4jC/gGIDDI2olarvsAf0lacVfyuBzhMqAnBi5gLk/zuiWfv4zD2/LdvkM25pnzepRhpHdE1J7oAoQ7DRLKExKZD+TuHieUF8VOYLbg+X+lLgIV13yeUN4yD6Iyi59LjEe5P97lpWQd6rYUyEbdssXDgtq1ZcAvWXbi0C+UsyICp8G0Rrp5SpbRSDxqTOmr16+AE119Mvw+gMeLm/EMcrstgPI3rvigH5UuEX0/Lowf4KmbHCocVXdI+g2d9pJ9Il1EP7cIvlTk156LbnTsEzdrrmk9yeSyXw1OxOoOjLHe2b3svbYRF2jKT0nGmsy15aL3RfcMvNd8W/Vr4gBo+CnxekXRE1xHkRrNqAQwuWte6krWWV5IXX+AsZzGfIo8pDz+AcfWGa48VRq42Gtxyw4mRqTrbykDHbGPFfnj8lOcruMgrzjwJ69PpfIOdpCWvNj+MNdiHcThdkKGqia+53WZ7TOZGK1BZQwXjGtLTdZ+re9+KtftWLdfcV2n2Gw0/iUqmCEMVvGB/RLI5+XYniybiAAdXjfBxalE78PT5JiH9YSBd2N0EcwzjpFXN+lBw1g2eoC/o+NUJXwDjK+yIUxmP8PIl12NYNnl/RSROICEp70Psr8lsC8ykuVrp3niV5M/cznGkdseYgVGrIvL8HrstL71dmpRKzusgYPgf1q+LXgGGMXlSAqbsEOpjRKrXqn/0K8aWWWYU4S/No5DOq4PRL0Grzfx+UGSV7T0v5h+HLH/0FTuK5Hh7kNebG/KcKVgvhurfAcBWYQt1FfzWXnuwK9vzaFrh9/4GsNqUX6H/+XObpUM0ebh5Z7SQek7Gttv1uHvY6FKchGxMLNLWpi2prT6HUFcPTG1siD4RcxaRDymewGZlb8Tno3yCigWm0GzAcj0FPCR0uOKPp7w+a7gstaPQba6kCqaAcBiKXfcMFeTMLAj3RC2M7Ovv+hsLW1LCOmJXBj+qJQVcJGqwA71qNW+4sIBOs/4FHTgHRVoV5hGoHOc29iSIjbyFshXFB2lcpR3Krdg3GpTzAGpTmgvtvGhKiKfC/i1kOgZZ0nuJ11HnrLLGTpefVFtv1uhjaDeMP5qf1VgbGzA/X5fFHjXwQzGAusGBNiHpHHROjko0pxlkg8EW9QloNMh3Ht+tPHVnDsYErMYrNSuish97XJfAB+2y7Da+uALb/Ypy0jfeIx57/icSGLPE15AQN4X883DSCWLK6Bk/6ERp6VpzkzvfL7y+J9k787TFt32QpQ7y8vc1goihphD3aA5kYGXseOqGdletw1/BxiiTeDTbaMHyi+j5xcp9Cet71q9Y2EUKtJoxd9lvatuvLfZ34s80Dbk4YSb5lB2nPNLGyfkNaXL3D8ZxmZITceZvu+/152/R+fiBL/n9y489LX2hzP0gm3scN7vd2mgyksaKY5HTA94LHQx0VLMNyvfwiFtdSMDzimnEbuGcgFb1ruMeOILImJukEsPpfY2jfykf3t6ui92Zdh/dfGS0Yn7qo1343MddJJXttjjfaxvlHfbh8ORj6Ge3+vyy3k/3RPXbOB3YD+lU/hvf3+byIcrPAdAHS/wvfAHlKnxe897lzG8qOf1vBxTedR9mkx8lU5jsUX7PcBH7DNtXqtdF5HYfKJ+d+htoY+9ckyuvmrJ++QciCpuytKAoveHPDlWKbNONl/To6Y2/u4EPOgRHvz0MN7Zz+UYRZ0nHfSaG9wBLzYRoa/Z+SeVdMK+6teU7VFB86ZtOWOBZcXvqd6AdR5bbJLtsoLmLcvR8f1oM77QfZgOx/LqujHAit+pv0dTfrM6UxzQCmDR3eCd7opth/QteHjqb6lo6N9UxvMyjwD42pxmeUH5Chs+wBGbHyXnQoPpQDtov6MMU5HcmAc6ZnOQmgz0YCMcjUd6W4M9OfZhquOE599JL2R/S6hzPNEPfD/OFfx74Ju5Fv2+Dvc2Xob5OMGAcNSXOHgMeK3nfdnfN3Q+2iGgE/XxOCPgCZ6/y+55tT737qnbd2zpyU6c8DLSJPIZLIuyUhIvf8u8Yxj+C9KPI/afnJDZ0GnSMa8rf34qlXb0mqjIPu1VnKkHIeV18g7qkgeF7yFM8NSfWJj1NvzEyr6fU2y485bBhBB93m7eC5ewXJ/7vtAPKAfw9FMaCs40DbiSaZDgclTyzg5Fxmt7Z2yeAzBV2E2p0ozV7aBVk2UMGI2BN/OKKZttfIqUBTgcA5Ht7NgK5lXfR38E+iP4fRsEBn024sOD8IxTI67QI4NnRSIKw3tXzk+nAO+Zhtxhp7YcqkUPgdN3QkNSFkwIP21xwoYFZKCJgpcrv08KTFFOTzCQEpt3Akoa2HjXjMNFTTo9Rd1wT2QClO2hg5V3xvqp43DKQL2TQT0qBifaprpGJx+MhX6tu2LtS9ZOY5zTHDXgsrg/ZTk3F4HZrzs3wimdluWBdUfsLaJ4ykGH+0JF1u5d3yVtkjvkP3f5aGcYC6nvjvdX77+Oo1CA0Ck7KEgnY1D37nE22tHxiQ7Jwlv83SVlnP1O0wY75lGhOyEBD1S3CFxphpsk9p1MfkfN9a9VMZ4+jxMrQO+xiOOGJPQpSUDl+tNq/3YZEwmH7MkZF/za+ek0B0DcrvukNXdpO5yw0SI3JNRdsHWBdcv6X3jfY21PaQNKoUcDeoLn8t3pmnY5s9M2lX8r9agtWZpjAnMO0TNspOLdpe0OUJQle87G2G79ie+FjXIqZaDuD+0LW1qfT4ZHiUzBY68Jt2H+KW38lDEAWsx/VuCf5K/LsjHc04tdyeFohP4k7x7a5OrppE9ZZIGTue0b80qvD4adFx4DBKA/lTqWU32vFl1QP+DNQQirj0OchsFdv65DFEAPifuN+LGKs7JDfNA/YjFtn/ZFeLEMz4n1t19fkHkeOvEbIbz+n073DgP/hYxh/UF94PEuVq15jlGH/CfyXuArXmY6JYv1+B1p/H78Tanfob1hZr4PekFsaEb4RfpcGdoaN+a6XoQyLApJ7/upP/Q+9A7TKrOcV4otB+rgaJ0WtMrzcJofVVdUM5FG4vQr4CEiD7kcRZ1Ga/21g9RlxOHDWLQFuzilj/qCnPE80AXCt+561dpvspn2vuo4gRq8nJzSKhInK0NnDBg7gCVc8ZDYzIi5xvlJ5mH+ES8wXmutofY3aBh1NceZVbybSL1D0iqsqOOZSNq9ADfrxKnjZLsoq4ts8fk4pMnZYtj/DaO/06813dRUbrW8X9ntvpvsuD1fYxEEiVwTAN+omwEgcpPfddmyp7bBoihToY4cR43xSp1mb/gXTfojPBTbgv4i7r1eT82RASdHcZwkXy96AP2gRRGiVNq4MnJLjDPrGdBm0zOgTCRfr/nCk6AJdGkHacPxs+3T+5dvbtSaV4b+0bAp4ctMwlHp97h6PePp7ukgzqY/XNNBe6rAgPi6Fm2XMfT+w7xH25f1i8JvruSRCv1iWtZb8m5Y5BHlmWwXlhNcBnDq+Iu/27GW/DDrLjyH6pnsy/H+eeY7G39lTYxOdYftsSMgoW6OevNpzczoHeZreh6CRvgaE9COrxmUdRrpdN76OrRX9AOEjcYhZUzi47tOzFyf1JYnDyRl/euFJZwROZIbmQHBNafRMQmp8MkYN4oUNLQzra2fUvTz1anh6TTw+H6AZUp4WvgJUJ+HAGPxoxB9iDzLDsz335R+HLH/0FQWR10QAKPK0219N0vdxb5mQTpBNATcWwTrk8hEyq5YElwlnM+hjnZK91rvri9bJ59U1gIwnD4JZ6sLRCyPYVJ0GawesjWa3k4CvZax6IKxnJYBpy/3L5y31L9xF9EgMA3aEF1GXj1tkJXqVr6LsnKpyFfes1dCKzKuryz/cjHSw1KxAnN5IAYsv9t20YV1ubD5EjFfJQQBFIpCEY7QBityRZGQ5gSqgMFfVja8+ilkDudFxyuWuSVOyGE/xUTs1zIQymkwWmj18DUFRsQDO7gHoSNCiumg7PFcxNAwRu2FIYs8QvJ9MdhVSr+ekvlGAlcQeB6IRFhHxgU7kwstTGNrUG5Q5FZIdG3lY6w+Re5fKrdYOMmKUX6L6DZo5N7/vry+bbzBikSGYN/z5N7Etsvql65wY4ErUFCgP6KynIN7UC5b9HPtUGVy5Y6+shDFNLD7XBZPQl74d4vFJL1VPsC5lsqrCBrrLfkcHcbo5HxCY6QaIdA49C8LViNgVI53v5oBo5aGq9f3YSv8sclaKPgTdpXDQsH9QX3fNHp9Jm4Nx08k5oCHpLt/2dLEfA5f2zGssk7vDniLtryvmxZ5KkTX3QkLhi0uPCmMv4qsxR8Pya8mOEc26IuHfYro55JbtvsQ0SY4YXvsrJXKJ9VsdOh6iNboJxpFoAMUnYhOwZad2OFwqnI9gYIyzLOG90a0VReAtPG9m05Tle+DHA0YHXZdcrcZ21wPhEmvd9zXdtAIjjClzjcleVPTM3hXLMCMsqOcXJcqU5AGJyfbk27TwtjmhywjNH8ORVZmrUY+FoNxzYUk4tmQt72e8L3fL4e3iv3SLRuslSnyDUEmegk8TkY2G7fAb0MPiI05uulBw0kzOnAQBY2/mNweWQDhxhBnLEfQQUu6zcnh/ZO+n8ZFw6f8Bwf46FAbK8BCVMcBBrTz3knNCXuKpCTD96d2TCSD0Z3zl9O3U317Trjj8t3TwMXuPwCJi2sl9DCGike5Vfo2j+HSfzNa0tzwgJsX75+qe6KT9v3fkQ7woX2K8jPm0b6eoMjkQ4Sy0A9Nwr5nx6PXpW5rDLBNdhnqW70PUnjrU+J5zRuKR5nKvNx14aG+KeH1D1HlCc6HPjQb8LFRyHscewmdMtaKRPJalf0bw/4WQH1zo+05OnXKpCLIlo53XbZCGU/8F5HqfVaDHabQIdS9CHeTM2088a8DTWNdOvxlvcXgNeZjuj4lhfHVfB7H/AWvcRia0x95c9FbnM9iBfD+sjxEcMGQOl1wWxOcSIswf/BqsRaiXLNI6E3+DDRVYH+aHwqwexnQF5uD0lZ/w2ns1Tj97P7bnbRXnP6QBzdmtBDFuEm3yd5a79GpWMbaqozDCEFU/niVwNTENHdEyvw5za/y2zesSeK8rKF4naxPTUBp8tcZaHlDJkAUTpyDAVtf/w5nPcHsTeZ8MJGTPb6/j3wBo2xMnw/9PcmjXF9mpGpv6xAG+VHOwaY57s/Jlq4AWoGT13NObT/CNPFJ6JOBD8HhfMf5zTDH3a4n+3oTE45lyibrV2rIgjs2VHgbQypr2f8l6ccR+09MHO5H8rk46V7tVviSasw5/eJOBfj2rcUPUmiLc82zIDPnMiK5m/bawn1/CycscPHpxEdxcl1WDW2vDpQ2XPhFRXuse8MeRldo4dKZGSueKoCX7G9rg099NeXW7++R4mStcHZ4YiePt4unQp1BogMKmJbdS8mUL9qJLbKcF5OxLdlXv3OiJYRxj2fcYzUwzebAsY6vY16AqykGUUZLyF0TycULUBpdoSwnhE1Evraj7E66Kou3rkTjwjThoBlIQgLEheBd37X+X9AmTG1vrilyAy6f6LQ4aKGeMgVgDp12gjX6ZjbkeHb4TjDxOFP/JiVU2XD4ErnEaWCfjPxTl1GFO1C5bdM8xS4i5ruisYMxFo4IyZ3Tl4ip5b1AXGY61Tj0tfHqUZGDvKDMYZXxDlCGi/alPSiP9Gg8bt5np3ugh9xAlO0WxZI6ZnB/klrORxHpjkqAPzdQIO/b9THOvc+/RG4x+fgckKlSENfpXyJ0WaDmqmVjjkN/8+QL1MO86sP2+CUBswgy33wA/Kgl5CsgH3BMg4e5Qzc2mhiE2YZ+Qb3NASxSjV1omw2LmsekOJiQ7wgZgCqPi9xtQxuWwxNUp/J7s9hLoydOkCVNlwUXZiTTs5Pl092IVFfitzPKo/FH8OO0O+qAuFP3wN9P5ceFBDT+gk3W3eoT7HHX622P49bhz3b/znQy9soCvvMKzbHVr2GxQSXwgnod6kAl76vkhjxdTVEW3xBWjEBDsqPJISwvs8zl9KTDzHPkhWPoJ/U06EzHU3bIR4wcACEiN71qboT6Tii7AgO1OWfMNic4OW+RyadFUTu8F5ABAoqR7ec7w8OfyqFNfXJgH0/uelQKrI/aULWM1iI54Qzqi3kF90IfN65MCe+NxY1PzmubHLEmP5ujW6ocTLm463f9mbrN8n5lGr6zAgTpdAL5aUG25BGJTbhN1mo2HcsoW08SEZFPSZ13D1KZf6z3TH0T+A6/AzbXnx2WJxZptd4yD0lXwxTOE4F2d9unukN2+wm4Qz+zDUvZiPOYdBL3Mfpc5A3GtdL81xx2WvOU747fzSsKLe++5OaGjfg/Zc2brZ/bh4FgzehKIrLWpxTui23GsdOTin2p2Nf27tHVNtmHLavVpGx2Euf3Wk8bitS5g/gQKXzOGGeQ32DNxOEuf5l1K3WV8k3fcey5DaeV4H/UB/uYmHXOlXG++D2yE14cPuK5dsm6s3pvZlTRjJqnsvgA8Kk2F4CewuG/GwvbUCXWI0Z6x/FyWogXFW/lL/Uxnicd7NBuzFkiZ7uTJBupe13OH2CdI2xHv68VeCbSbcxDLPMQlcMdN5FXRNwxVtfZ+nw8pXqQ5gWugF7W38w0bigQmRn6SdahbN35Whv+6aFPLQJK+bjeR793vrecdDiG5b2FvVfg4wglk7wmvL/lt9hrCm8553gt8xVP+0byPnIdobOptpPRmC9kI9YnfZxPYqbhc1i3fbvsUE/AsyFE/lmeycnc7PInefIECDj5eW3mP5l+HLH/xKTrxJbetk8apqKVi7ogfEJR3czUhdCXhZHkxtyRwWnW83jXDubHvxsmPjla7hPaDg79lDQsd777F2o/qZygcK5GlVVF55a9YJohFBTwoh62CxWOFxy84lgL7u1aihcuQMXiNhiwqIQsx+4DB4+QBoDUbXEZMKpl7KTAWnCmyz3uVXT4VUW+TOwDDPVph48LKnLgx87YK8OI8WJMLNjg6RHZuMhMCf9+4c7YoJOtwHH40jAqpsRlbN/f6vSxX4srtXxyw5IkSn4fcjixF6Ecv+qz48lhjW9f2W7BQTm1tX8qvQvlVGRc5NCsFx1DfurGd2qqVPzo5wrXPaVKz4BfEbk8PPaHFjimxRNefIh6ULHBcv7d7xa5s96l+EnwhdgxCophqTvoNd/jjs04rfznDnt06wqRtcOSeT2390ElDTw/GfvEO8I5knzbftmC64O01x2+2EMX6y1yfWo48dEZNjZJylP5tMtE5IASBogKXHUoTm2ZiVx/eibgsTBuUR7o0/th8A7pHH0AQRcxXyVOe8b4et93fTF/dTXWFhC98g+JD3qv+3rtMtEPkfsPEVWV6085OzMdD9uBGvx0j10Y9E4zPJck86ms07KmIvqJm36orV+rnY8vWWHInK6BlO5fi4d+fGU4Mp/7xUG65SkvzrNh+uFhlTcMuBMR+ZXLAQ4phQYxbuhBWJIHWqdvN/ToNGm2DZkLPaVcxEUOvtrB5bfeNS/j/mSQPyn5k3HE31o9Gza7MFyaBA5jPhQ+3/s1ysiHfohI8rwBxgJfcejJ0jM27p5kc6tHU7cVkXJXtBtlbVMd4vSBD/ICIdPVd8YG800nff19tMF4dqNwO/JNc0Ho8sgtJBNxASnk0a8z7GGYgmEbebesLnRtmhvzIPxUyIqwIag+kcJDRLfsFJiLA3/ITRUzjnF8UmfP/jAcP+m9hFFs3KYLPkc8izeoiEjRd/F9S8jvn/LtvC0U8ADPVEfd6Efwu9x1fv815Cf9tLRhW46JtWtJ2mlWKlejDwx2M7R3dNQ+LLzGRq0vhcgruz7RXMCL9/tsqvPqu4/tmDxCks9B5xEw8YrTDSOxuH6wDamwBb04yIjkm7uiIcrLiIuN67jLE5LpDptvANepKpJtNtBDLJbeQ0WbnUV/LN/5M+q4sQgJcmmSUVN6m+eBjETeW+wyb+em9gZZf4HOFfUObR0TbpYc2lCRohM6rE0H3HgrTgaEYUoonx94EusRTltsnycf0Ijaho2pmtyiy667Ja+Y2p0qzvrA3UFhcvq5ddmZt+SJVxvKKvzbsKrzio3PtgnHpNIk4pZBQvztuRVhuEHfL3MKy3E9TGtKdIVzBLoarNtqV8oajiZ8UZfDB/Ih2pb6bB8meH0QJtS5F9xLL7v/2OuzX7vBX8v2uj4lwjHHlWtS8RRO/X26FDfTRzZNPDVaRrmL+fwjO2OxP3LAux5IE/NgJViP660ATxOFw+Z/3HAezj6TxrvCljQBHdlqXhr3VY7CD5d56HAwYQ0wMw0rfRepOtNuJ9Y35XCljXSex7RS8g1jUebAtGkYSKE6/5AHz0y13LeLvEOl8xaRZCL23hbKtxyasCl7XpfazGvqAzI1POWqUHbKG3VL6AnvwDrpJsGuTYquVuoEnoc08LLNgJmJ6vUm1kd7d9ALWruT3UfyLnSsJzzTY9EziWc/wdUOjvn3N6PR/DvTjyP2n5gMmCQz3jeYwXFnsKcXHPKlE/abqRioPFe+c6oB6suH3o4b1U0ZB6YXixOHVHZK7/IZqib7cg7VdAJeimHPi+/zrvTOgLD+UqYYOEr4kbfoB9spoINC28NS0BgPCseUWrjpUxntzLgoqcGw9Tx3opFa5nExCds8KKNj/WTwhvBn5ZLycD2PwniC+0G4nhah2juCt7R/EIiPCgNO/Vc0QUbBSfn0dgvsrIii8ijwm8YSF1R8UcUda/K1Trxq7LJChA9dBWM+YFCRuB26rQQBbLem0x1hhGxRHBzwBQeoCBmhTs9jEEbvw/yLOrbx6HWjAqmYH8v4IwDESlb8BljqWCahTXAenTReXvf4jcr87te+o9xwHKa6sNyoqAogZ8hflPP85h0p82k4nYEypjkz/D0vlqD8Q5C4jzDHcSG15d3yr70zAYPaajmGBb5N/A/nwNGIpAF91H9ovrS8PJZPz7Dz8sT/FOAvMB5oEH/HWJ7o69TW4fuT7B8dYlP5V/jhdyiKg76t54P3L1jssb2XC/pYZOB13ymP+dricfx+0QnG04TbF/zsybHc8svctyIrBp58DH8cdb+JsCn/5KQddoK/OyY/Sba8RaH6veJThIG3T8EyHf8d48b9EXnJH75lw6KMLrL5HFrYHb5P7T3d0ebfT7YsLhS2CFHxyTa6tZRzXfNpoa0lCnHcnAJDQqf6uhpo48UXnV3Wa0Wvl1l/HU6tzkuG9YE3Oy93Wdns1lMnWBcgusVNx2MCdT76F6cms+7JKRpwGfWXdEOv40m2M9yTbvUqTYuftZEXz6cE/RvLkI0QxTRph/Xn8pfgabrLyU7g34S3htNb1vUy6AQVEdmb/HHeiejeyJCdMq54ULLitCyfgsV0sl8AVne4O9zYqQk3Bdc1ezSJxobJ3uS92zI50JnXD6C37wrlh3EpYzWdDJ3oAZnN6b30PJPDNb7ta2ZEbYfW9Y2qWjbt4Jw1kQzDKwc8NXm5dS0HV3u+sv43zlWQO17RUXeDvzBXec6y04hTygLczCNv8b+wExGGu+eb8uM3pLPSDyzbp90xFbvwUKZcdUfvsqItu102TfyH632STSee6I/2XG+S1LNOV3DcKpImu9YcZibSYTumEyy0yXQGdv7YHK7NCeh8ur5nOHNeK8z9uT20Y166o5scq4NnKn0zwFgOyjegSM5A2Zf24yG88MsEsmOtIT3jF8uMNiilR4d8ZNp1/oaP6e9OP47Yf2DSL5Prz9xBw8ZhZpTC6Pj0aezih3Ic9m4M17frLbsWvRwLdhQYW0AGg4c8arZ2+UGbp3DGIgAHtNHCJ2x4R2HSTpcCrCzEJuXUdyLvHYn3ry1IrxRQ1+c+eahGoWvX93K6xdttIdwsTtnhKeAGD1/kLl155dO2675diTB4BichUMlugjtO/BK+TWo4aJG6C2yHx3SF2Wnm+vLnAl4qT9rHO8K2xB29kmPluww/vCzWaYFL2TJWdv/CsSgQIghxaRK7Kku4X5G66AKKVijbAnON7moshjX/dkXVT88CnibldTQm6B3fKRgGj/aipWocAx9r4APltLslrh2E5uyxNUaMSwSL+xaKwUdVaiZjsS/caIZ1d1L/zLwx/sPJTH8ffVER+dSgIafDaxvJ9ksoFBX0C8Z2tW0xBpF3h4+Ktj9V9E+V60vk+lf22VTWbmsR8XtA7VonIGvf9zM7cnVlMm5f4L2JxJ24A3GwIWUfsk7n0YldpF02Ouxj3Zcpkvzg/kMSLxtPXuYmvulOajwRHeSkjmOb5RPOw/+xhU/AvdgOL/0/IvYlcu/wcutuX6GTxIlzTiUcksreYZ1Ku88FB2vxMs0xijtY60S9Pp0PZ3/C0LxL1jUuv0T0T+BDETr9ALhIKqsDjxaHleRxCTu8/3kkAj89X3ASeR14zd8mM7/zJl22IX+Kvjt/kuR1H7XvuLHKVIu8Nj7Z5+0ALBhZpG1+cPTsxTcj/NwfmXcsC3yXDe6yGQEai3m/d1xfHo0D5fotPN03XDWv79JVSX2lLUTu8i6vs+1EEs4L/3YhT4W6RLdOBQ6+EoGB9dQIWeZCPfGTmRywBOTJ2cq0jfecT30q8Exy2Oun0EgBO9Z1GFfkm7ZXTVgGRj335nuS+FI+AWf1LuYyRiHckr7xFG9mtDyhq6TTep0Ie/kIvGtwsMptgtHikb+hY+J3Nmz+P5lcdy0RV2Yinq62GR2OrouLHstx4mtfCm99EEPlO/HC+IY8bdospcM7rHvSIfcGW4+mFDxP0hnLZbyd8a5YzbxstyIujHnZJAccIJJHIeuYr2x9Ca3raeEq5tjpbu7b9gkn3NyYumiRLaF7bVlGp3cz9DEBEXg18QgyxTlGcsh50GTLG+AQ+bxhX6Xm9ygTTMPoSHC9EtdjQm/G+2KBh2HYUX8u70TSvvI+YLQfsrPDTkSZJZQH3hfbc5BnxRYE+dtokPA8OpKw3t0Pr89fnpwDSf+wEoRzqOg6ta+F/rCcvzjI/nGOYfIxdrt1j519yZoLW4+//9g6rjtcr/3vQ8Tkok7f66RrwNAX6c3xtaMkud2z+m5AZ4BsE1mRNqCuDa9+iVxfbtcVwd9kdXP0MN5QX7wM7P1tlxHujni1ZBGIY2P5zk5XdV5Kz8GLnS/1+Xxy3hZn6yagQiMx1xcftFv2Rl3gxZeI/UvLXDMo66B5lKJij+4NtoG7jeOYNx/AZ/ar+1oV4hqPxmAIzZdVMOxJSHigzXXKHvI38RSwexsUpbCfIJeI6CIwjziVtcVNs9x+1L91mQIn9hnxwZE3RNrzaS19csA+XiGA+gC8K4cCSC6tdyTvqL5mY0zzKmhZy/PoYEO6d3wdoj6U9knG5gbvPKXKm8HGelo71r4zjy4s9OBMNerz2BTlaXYQpJeO+lcnb7GerU8+OW7faTPtobrJbtQHCK5Wt56vsOC83qaG7iWNbj0iU/CJAfbnzs3zAmFoNDLoPFPZl7bG/1L6ccT+35aAOb+1S7koJDBThmJvhU56YQCIbKFlPe/bCwJTW6/geieBsJ3aKCGUPf9QB+4karumX4FESm1TemmndfmmyfT8uVRNzOpofPsC3DdTUUawD/592DkeAls0cP2002VlkEqnoEC8BfVEo/y30OtDXag4Q/niGLTap1E4vhKc5mMD394QIl3IznXHJ1DceEPDUxvFuLB5zraF4u8kGjMDPItIhLzBtiLvO3XSO8SFyO6j5b3IHjp2hYINrSUN4+0QODnLEWe+aLWMOZoEJuKnaNOBqhvGqsS9pH32VJ+0opExVLCesno+3OSgCu+GvMVAH/jfyVhuuB3yveQnXFYBCJzXKuu+oO1saKcbKDVn1WCA7JtQmqMByzktssI54gDKnxbFIivMxRpCsecd+0HvmB6YlxUDurSN3+Fu0BAIWU+PkACy9iRjH/gNh4tkPvcUFnLipbMj1aeeHsuVsof2C0/DvBOdveKxSINMV2zUTMW9K3+HITPRlKff2XE7hpDS2s93cOSwnUD7C31HJ6LXZc/kAeXGOCvxvSxQPfBo//7tdArzVSqG+t/Cs+vL+A6q8378rv7wk44peOijLKsf33Z8PxLzb5Q5VfUqytN32njiR1j+JN9P+Z8+F/m7dcwXOjemdhXMJSIG40rwha14Sb0DVqSGK34n4cmOE78OHWFvTkbHtW9qLh3cf0D2F+fpuzrdBC7ZBq/0WPz9cmHzsWFJPYnelTo3j0NHJdaBepuJjLiaYCyyHvSwUrYUONfxmHco0xL19bfTg37fYD3N+Xfmu5cf7J/yV3Lc4gR4bFQR1/a3MxrnnK7NCaG/DSFEfbyGiEjlH+YXKfaj3pmF8Y660Vvzi+y1R8c1/G7rUkOR4tw78IZj4WYDHgiM+Ek0daKHkY9afrvo2fHizmQ8SHGwHY4odNLYsLIzq447MKqJjqA/uQYhZTwV6j6WRz5SYLWah/7ytVSVD6U9VpywxKca7zIp68rNCSsVzn+rDnmUJdAvnqvl92DzibzPpw7t8loKrwcf+YHUsXhKo6Pu4fnU9m+n3zmd+VvtyG+NxZSOS26v9BzQtZIfHCITbZvtL+MZbL9XY/sdx/d6KeOceCWLjvrF3233/hvTjyP2H5jWQjCE6jkYoKdFS/U7/FTqSVaRFG5+KgLz+ULIwVCrhiAIHRbGu57razsSPrROHFIu0MhE47SEGjabY4CrpGMQ4XSBfc1lAg6VIsj4Ls8Ci2hRiPupjfXXT8+2ejSVrFQk1onaBqOI3H4i9c7xMtdeYXdQKG8Ba/1b7mn193RHy2rnEHJhUpR9jPddo4VetzGBoS1M8963e98xGoqn7yRFBUuHZl1X8NOA7rDGk1B4omcwCsodqBAWuji84D7KduoS+h8KOOPMsl9YZ+AO8XjvzeMwZqMj/iQEJ2XL826jzE9u24fkLsuPXQBOwpkr7KxsXRVvY3LeQXDVO++yvuLsuAGPzPPAmIidyHtexJ21cOpA7gpm0vaqI8bR+ysSYYnX3aea9Bj9z/uV/S7V61/AVwPGVbl+rmWrtWN3vzMVuUTuL9/yblne8cUTeP9UuCdourstlTSNeuLkqOZpfe9nwGlrx3TgSS1PIt8Sp3Z5wago+Nv4vD8kdw0L8FHAT8B51TbsY6PB1NcoaMKJ2C/Yu+dGpdOyn6Q1LXdnY4o7fm8V+RO0RG9r40xFxX7te5/M1glootfijPTd8h/AlwAHeu1dzLzLNQBb/8pGFdzljdZ7jF8+u6z3Xc/6ufnX5/7nMk5AXk9wEDxlfoZeIDk+3neUu7eUqAwxv3TzNDIi+mnZPnZF5/iA93BCTwCewMuO6uB3zyvTpbcz6QNDHneQTTwQ1kREdM8Fk3J9i2E72EeQJZhndMRaDIXYx77n+ivlP9avKjEXfBE99n780lovwuPlOTSYSI6fLzhMeiLMdcXVKE16OC6Wwm+/j21eFFZhx55vLkM8+IL2GNIO4M0+V54c+gnU5zpY0hXdQXUtWFSmu5o0nI3jfareL8s6GUYRIR1nlXE4kM5xUb4uLgIed/1tgwNt3EAdwOudeEjBhab8i3oQlxOtQ7dFpEev+EnnBPYIbyQaIw8d6Cv4uIpMzkK20UaeeFN+YAXc5ni3qsgRPtk6ctswC/ITZcpUt/KGOIV/+3laMC5lJvgJljUGg04y9QllDX5yvjnw6zH8sbps3A8QuWDxKE3ZAGQgw8l9/bJyj6vzHJ7/ppL3BHLEqi9ZRg7yoMbUAGbe+E38d+m0WrqNzlfUObF/LcQf5GvjBnr0if+iPPCNotEW6hZg+0TkI5Fq56GM3/TtNk+TjfSMKcbF+TCvHR36XuQNyYvApcOOebFeHyd2MINYTTraazoUvQJ1ypBfe22gnRSTmldEhJaCKqwnGeJzHXHin0qUDsm1DW90n4y1G+zDD5Hbgf8QMRd8Hv3mlADWOB3u8+YXDLxKhi++dUXsuVWuP/3dMO5Rn9TxHXhKsUM27IxznG9dz+ndirrjNB3AIkB/tH5zTAVurUQRsEvYmLrfhRgy2adRVcp1Nbj+p2scTC3HgWCwy8T+MLn3AQoPYWx3AynhQt4gwKOKLgjfmB4V9Ttk4NQW4xDH3dva/MX/lvkNvGRa08N6PF0Ula8w4CDflIdRP2w+cP6HfVOCJ9/V9iYH7QTnwg/JcbHKZ6Z1d5WuizZ5PRMuyrYn53eTafCN5+0UUSPK3fReOh5Zt5nWJ9qaXgg56otmno6ToT74dlqPODkwV1W2m3JkIJNaOg/zqjG0MK2lz3AfAMTyDXho99CHWLsPGCmzKqwhEk0iX/C54Pi9Ej9PcIx3t1rqV/FpGiPE74muB/70yvFaMwOoXA+/P5xKPvmz/jfTjyP2n5gw5MYpMVMelEfDkHhknLJyH3m+pEzcJlRQiQChOBoLt4mgE3aaD9N7eNcMaew3l0E48O8gKNsCwiBgn3ZgrzCodszHO0LYkA0hQjCISF9EGU5n5fqB3z2ZHyN0gTOgSxsjbQYMCYbM1xlpGZOnU2OsyGky9CAJljvukEcHBFfrTluRDEWzkNEWpTmc7ki7DQYJ59JjOtB0W0QF5SOyTwbQ6XnCA8/fgV+g0qxicl8a97qEYlbosvYJN0JEUz4sE+54DgYcEsq2Ic6GfjE98vtw1sL8LuHUbYed9j5wnUAH4efyunABAfnH5SfeTe5fsu7rdOexG0S6aM1pJ+jQjVhbv69dcSxqb2N3NGyi0wlz9PPVArVKOh+nMfJ6ff5uZyaGAC8L+dLHBMEsC0/y8FcAZubRTicX6FTAN3AuId/AxaQV/gsAZbi8P4g3gNH2Ip9eVI77CvXHwoK43JPcpIEwilTjCMEyoNWJUYsIBzOLjbfIZ+/kX01pn2gMccR8imiFFzK7I9Za+L3AiRzwJgcZMzn0D6kYzgb1IV1FxdBn/8kkozV7hCOeeDbSN8geA3xWWvUFSJJTWA5hnPqN8KH8PcphE3S6lT46nFMzh/ne7mEZ4BrTdJrqsJAUc6fNc03YjvhRmFDwDmB/Mv4LeFw/85NW4PytLIiIFljwRC/qTCejtetNUuXWN+FiXIzyl8YiF2TO7TYZO5RvMp959ZOc+0mZnhYcDrrZY3qgmcjSFo4eMuuWYdOpGM56cs5iHpIRHJHnnTtt32nnVOadk63HZCJxl2qr/zzvM9Ph9667yCOR0BxOd8f+1cRzOd9DH4GeqgNOC59AvfOVvdDWQUrjkjYO6QKdnyUTOuLnxP9Oyfm4F0c9yAhnwPeRjyviYBpnGXAP9Z/0mpdz+425P82dvn7AZRLud1KxLd5Ng2xE+3EcNx3wQ98Zl8vekHTMXvtZd2QlXU48hQ189kA0frK19WMa9/JP3xvzQ71nnNhrOj/R5lOb1Ede6mkOpTfTY35os4AQk/IALz5PTE5lO0o07Wef8yd4JloD3je2/056Ne6nRG2edMFp3bjRGo2tUpEJZmXaNfpG+QKm06ZiG96V/nxD5lOfysYcoPvH+mC82/j+TbK42Y/v8syp/W/yZxFpNHTKu+aFyuQ0e0mzx8iZ30Pid/nKd9K/Q7f6vahR8qAXvnF37RMs/vOv9HVyAD9lH7K8av/fMha/mX4csf/ExIuok3Lm77fQ8VNctqVfWdh/UsZQyPrJKxIu4z2yVE84vBC4D13KaJzsPNSDv6NPdRaVky8TE8eFmpth8f6ttnBHVqmvaYStmVrGQf6g/CAMWVCtca3K3zqFpqmUmpSdsCom9y/Nk7FYVkTwxAvqiuq7Wu69/xh2NueiV5Ytis19NkjNRMo9c9C3x/tNoQLdo6AisdNuKbLE6IeTf3hqc1Jcse00che8SKd4R7GK5A7lXf6SPSWw7i9QmL1u3mlt9N7fYRY4kSnwTix3FQasjh+8cxju4vD6FdoWkZh3fkpRv0w+6M7E6BefJiMHbPR1j30xGkDxZScbLpjfv/J95GEFUmj89qYUVtAFxgBPq/NOroANHUSgTE+bKPxeUDes/A4ctX16HXe4w33F7rh3+rw+K18KJ7LkSVT/oF8i15+w8/jutFbuwCynNBOp9qH1fh1sZpqbOy864gOvKmvHr+P/S4s8aXe1yBpjdrhFXoI7nHX75K6YAl4XMyt3BVuOycnYCHw5//T2P50+9kRRi7t3w7FvsnjkL1si5EtFPnsbhc/6aWOVcupdTeTrQ9aJd9G9QGNBA/ZLYm4XPInsxeqkseaw2+Cr5f2xKHNy/m8a+qL5CmNTNrI0OGiMLdtdMFj5FgWxXOyAT5nbZMMgJ5rjBVWHwIuWZ2/fI2S4XFWBU+G0KQkXTwo90Q5PX1CIucBwoZxA3gc4KSfDzGHNsvi78Dqh+pDfflBeqL8tkoAMRfjbGEH/265X65tGAhboa6kP2i0Le3TqMuCUPv4p+zux8DeEL+Q/n7ba+gZvJmgOd4dFdelE7vhm+TaV5fly1/4ajsfGa1usl8Qr8m/G4UQ7Jx0sF/cJXw8J5XhZVCKDWiHP2YmtdexZfyoN+9/p409qyXm6602DXveUSmjF8iHrERFhR9qUp3yD97PzEXTxOMm/aVu0bLLhq1GK3OWTuIf0dA2PTpNmgLeVxU1DPg4fS+ZUvclijIodSf0SRt1FLz6ynoDL9aytD8dVGwH3/nFpXpPB/fiAduLksA98ne/jvNTEb+gIFGGoZPcTGER3JQKHJh90+7StRRj8Q1h8UxzLeIIhqtk6Gtu3KF9fciMsA/IhHM0CegfkbdGQnNeTbpdwS55EVioz5EWVBE/toS0aMEJ+1D91t1GiJNG4lb6zTuOfYTND9EWk4d3wmyRsmLfrWtBP0NGDjkreSkMqEjgtm/xYN9l5ry8VcyeV09peg3L7JZqENZjScdNRxuqmxdCtjGD90q3ja7lfM/AkUDfCjm2LhM3RcKgificsp6JzsNMW4Cxt+9jCGo6PUbF1oe6y1rLzFl3L7SqR453PSKfYr7AF30lRL0wMk2XL3SL2S+UW22xa10nlge4dJ0iHi2Z2E/fSj4q9j/0xEbk17+UmuVvWyXxMkDdA3tHB8SWxkffER0b02AAn5vdvN7zf/y6PEhB2I0WaMWqXosaMNlnARRu/rPL7SW8ZbUpsgqMj4ZylcSjrmgN/anP+MA9L29RmoesDv30rMZ4dPunvCytCHncYC6XnMcUBH4sy3V53xFhpL3GRzDMOPNmhaa1r4udNKbXNsapHGvRx2XMb2sRvx7HT+boaliVRlGgzYCL9J9fWaoO+kSgzWv5952Acfmc4sD5Ka5xWG50On4lnHLehb/+J9OOI/YemCLtHiZ2j7hjpguJQLyyOrYxdKZjCBgl8n5KfvnU4LpNcECAHhVyZL4SQ5/kEGHmSh2CCskOe4sSkkBcjj70lJmuEUfZvtHgxLkBE08x9oX8767WdqQbhgn1xGE8ROVxrodyFfob3bUZ6wCSCu589ay4k68h4XRCUxUxc5Is+aTuFGkCo1AWVB1wVZ6xnA1qJOp2OdljaMDxRWRlo0mEs91A4PYIOFfBaPnv+uPtXpTg+9ZY4tV5OnjUpKdII7iQTFIXiHq9YeLWGc0N4Bhr1ey49v5qIfKbC6+F47mmThM+pqT+SME7G9+2n8L06V+ZR0fyi8mxoeBsCitfdHQAYHr05qhlWwfokFugDHgF4vMxHxbOIyOUnl9CQNBHbJ2a9vJosQ8xD6OmubwMRIZN2W9efKtefldY+/lx/b3faIWsKhZvm6J7oR2NUJRZg0ti1Wj+W9egM2zFcFkhIacWFDjaivFoTbDdhjkUDOPFmomksfy0YhBc2kKcDT7B9H5PuEF4eulf+kKzTTyPrZnUesu/Dw1Fp4RXRCWjLruxvOJFF9mYVwLfI4p0qcovRyR0pvgkVwLfsPm+5WZJlHvsF88vn2+ZPF9K3Unk6wVq+iYRRjv32kOABP8o0lPUi9ZSsOp46E+QNEcfwUJMuYvW5hcUWv6dX29wvBtAoEyXp+EWKDQxDXtxoJXuxv/C4Nieyb1xfWWzbC9gZavME3Hx6xf/6xqpwEHI4pCth76daFw8ukTdYd1Bt/CLqt/pcQgmz3oCbgLTC9BTBxOn5drqSXWb3PfTqAjPAfsXXgjvGNzonW1+R73ptLsPwqhCCWxiHNP/K991RDvFYYNUKR4GRymA/g9cSPD4O15dKLDKwEQ/lQ0f198AfUAdKfM6w/qQhveBTj85YoLVvnfJ8J+sb/FNEYqEU60abwvPwdTSlDeDvU/1lEfWQj+8VP52u9XxT5IYiU4f2yolepbFhnGpDSynb+sI8zL/j4iRvWoSQxTH/+fqdA9/AxKGo4+Sw6FHOzxVtON1O9CqxvxzFavOOarNWNppwDm06/Xt7r+bDVHGUqTIA+Vt8Y31s4L+or0QfZXi23uZTKgv+Q52Mg5oByjTE7tdBS9r4emTVjBDC/ecF+FqOZLAO+XzcQV8Y4eV3Bo+If6Y3JErLtZPaDkWxuWyIxuM6APTN4bU9X53wEX+Oszv/NV14ogd6UcZmwhHzkKEutP1WkcPA+Zhodkm0PuNY4bpYq0epL6e81Da28bZeoUAUYWBtOHcYUPswkXvpih41i6vgZ+O/riO6fsTjYVCXad0ozQ3ZICMnWCC7+rPPRZyz1vvA9MbyofA/fId1wmZftg3Rrp7sDq7vtF5bnLGTDHol06bITAc+MqIc9YJvqFbjOg7WhzQ88L5S5A25MPHoCpAJOi/HLO/IILAjWUa+Kot5TnlPtua42XiA6VU6yaX18lXhN9oZZDK213m67qbtLLNLRdb7P+V5I+Gcr3LZxu9Yjt9F0zx+04atVsgz0PN/QfpxxP5Tk0ksHoqkQAnDD5xz0+6c+LmN2KKkcVN70p+cv8EUHuZtCDe4E6o4XgbYKhAvnidl/4EJtntKJiUNmYfo2M+G74fJPe3+bsoeMp+D0C5CxsdmK2V+MhbfFbiA6YVD9iPfN2EExu5bCRk4KAno0PS7FrJDqQjxIltZmESFKtrb3+9tv0yKAoxtqVNz3HTvoFazdbJPpM8bgllEYId5hTEcwghs0N6eqz7vgAaKc4YUqFioxTt9T8IKlOJpV7iK5Z00iHM+oclpIkgUcE5H+J3nFirs8K0rD2chLB8Eb6nnxMikGrNIKwrvPA/fv+R9hL9tkeNzj1uMleQc/VxZr88kGLXlSF1GmuRdnl8Ar8GcFkkn3oYjFsCJ9lezOwPwAaYdntplbH5Zzeu/Ffq2f9+/fMFk98Hz4HhDHUXBvgQWHCWNcIIpFDa+kwfnHPFOPz0b9HRrjEXCD/30Ou7VCbtsHX3/1OW4/dR6Us5ph/EkOU7TglvOxYri4rT1MQW6s2u5Dptf6S7ZykKe74YPBz9sQApYD8/FGTb07+keosRR5UF+CtfrNzm3M55Kn04keMexDpXcvEN0PkbcKBm8uqFzvFFoP/dBGYoir492QE/bMJ/u3Z6cUScDORyoA1zoEGsLwGNeaoMNxhPf3fh9NP4Gw+/JEENjri2uwoTSCS78DrqAiORO33KSVLNele4cNYtTCqU/Q1ryHeqm1BZN6ERr4GRn4YWY4jC/qA02Vq2WLe0K4AbeH8dQ04nN4alwjtTOWsIiFddFj2jzNt+94/j5SZB+A1dl4RKcJ6f6jhtlD+yhVyAS9gvB4CdS+4LuxPzo+SDDXsLyKst3dtSTXDO+3gT0qVbOv6kU3E5OO5OchrmJxPpGVrTJnIXZDgUsxJPNVhSr6PfcxVHm4zfUFxAfUh3qIlJO9AYv4U1Frttdees4sc98Br2L9d/maPBTyZKoAmDlbo5q7CPIee+uyyPNehGGEZ+owzHPNngPcBV9AL/Zecwm+/FVKm1MdQO9npyske/YRso/HtuTjtz6onUsSh6fa6ADtpDiEw/b7fHVD+anDHced5z5hnl3oLq9ESdifcPmrc3ud1tHd8QhhfIikifhWT8TEf3UdRoWxwgQNNNcEiPrVg57wEz6QvwGO9v7GXz9Bp3gJMCR7bhtWAZ/ABtPNlutOnkHwaWyrrph4vI8/gx2ZWkTCWqvIYXxhfPUN6HauhrJvqTcd8v7hmK8VpH86zR1QX5LOkTd1ytvG1tpMkR0hN3/cn+t08ze+Hv5xtthPmf9pfoKjxAKoR5HWylv+Dcr6U5ga+2xAzbLzoCzHdvWrMDmbGtDwD/yudZ/ukbH4BS828CTTcOHCMoaJvQhI9ZhnqFtphWFeen4nqYm4gjmhLlwK53rZUqb8C3btrnMkJ5sw8nRansixXr2k7PxHWfkizpCjxJgq1N2n3skp86w0aOKtOtsEDbC6egcLbShmd/qpnCG79H+0sR5OcUKitnkhJ2edaCZFomFThMXmEvl8OI7m0r/TenHEfsPTC3sKwrN/XD/2tqgh4uUzMcLSRHCAvKMCg8wZ1wkzCVJBnTnM1m79EXqgqBPEA6n205HpvCfQhLbh5RFTU7HXXAgpNedrnMbo1A93A/qOzjHXdXwfN0m94e2MAqlzWsx1lD2HS9TWGBn5B97x91tGUpapIxdEeT7BwtBZ85LCbNQuuPZ06WFCbISgcZNDS8meUoKQ4kivoh5m0g4TIvBDsqiSI53Om0qDSAPznuSFwBxgvQSuf9IWEt/YBz1c5+Y+9jKlJe/wegKOk9lL4wQH2fHra0+XtvyjBO6cOIwTpV9deUxDA6BBHAUZXegufvSrBOUrEfFm+pwug18ScKMp+VisdjnL4XdYiUPaf4OR6xmO1bxURd4k8+Y7js+hepT2SGA4ZSp9x36MBrmAvNFkl/dv0TuP9ZvDy0cTtYYB5EvDBMonkdbGCDzb4gTn9YwRuFU2fSDoQhfGlK7X/axx8ZkOS6BfbghXvDxhywj7ms5JvJ+W63hhgT6LhKnavHOcrXdH/XGEsl2yQr3hGPgQPnpcOAp68SnrjH9sB1aWncIYAsYvC79AqeR13OrXP/nCmd54TcbvwIGbPDPje+gZQXYpH4LFmi65KUmTdjGc46lBZ70M+EpxqcvJN5r/JyHNGeswN/A88bF5ATFE2x1aEpdkxPa67x2ZAtDhR/qjjofNojxYk3kd9jj5D9p4iCPJwMVFwBCLjpfE0k5J2z8g8GCd49jFtDZfE7fqKLteZV8rcJ2SkVewzhkKC//ZgFfhKYH3loWFncd7iB7dHoB72PdcTK02FguaGK+e9qog3VgGwqRO4rslhxz1dBJ/ZvPVxE4kQ7zle8CxlB/TAvTIkAkx/G08c9pDeHRHZlCRcQ3MADthrz1E7wO09ZLXKcosMD8aPQF43haEOD3AZ9I0oLDM1ex6oENFFb6JOKLmw0815fuhff/BkP6H5NU5GQP5emzYdBdfyLa5Y0whX8/6RdcPfClCS6HofCZxwoP74703D+MYXI5NCzmJ0fOEyxFrlrNE5tD0aG936P8wHJt0UoIb/5slMlf+AZAWDTkSmPxkha9x80ezYaH90/0Efqfw0EwAHkVfWP3BZ2xpZ5crEi+5vKM8BhXfmB7pVKS78SPS+STQa+IOgp+uj414anAQ98E3wMcrX1uA5+xD9Svlryfk5zYuHm1SNteHcYdU1sMJrw+6imeH2Rs6gT73+FgQBk/bNJxaBJrSLYzFJ0AacSjg9wupy3CFpd+agLheru4bPR67y3+YRzCpvjyK6uk5K8d6DpWd2YvObtgZfiyumApxbMkuX4E+qXPrwIL9B3xelzDQziP63zOl11fgLl5om+HOzI6/+LOIvxA9GrFppR7n4gVFfuUtZn2hohKw7wvdGzLjo2rkJzOLXGOG6OLDeZy47KG52hIcMi00q4BDYE9UWHtoYJLmvibv58cv/H7AHOpo07KVp7aq32f6uvvub98RUHRW3Y/y5VZKk0mjs5Rf8XzEOZatKrS15kHflZ4G/cPeRfAMq2zd1zulX+eQ1B38oO5f+0d6hbInwb8ZUEdbfFSx67npWyQnqc5/XZdJ1haGF8Yy8ajhXCBY+FpoMcCT9kA8KJzBzlZxw9p+dXkI3yVSDEyjwm+OrVbMh1gGO2UxP/JsVtk7HQVwH8g/Thi/6lpUsRJCX8Mw0F1TYy2CJvX8zGrs76zlQ1NJeH5crERBOCqzlLQusPxACPjghd3X4bZ0jfzgeIQu3tJWfX6+vLSw7ex/MDANwx/R4q6eQFvSg87h3h3fIwFKkvoOJFk7M0xLL5TW5Iu+b5fEmShQ6MMxd+wcN+UhdPpplEJz/aL0S+S9wlhkVP5oS2VB9xLh6XJcstsxVGJsBwUsLYYMBoMPkZ7bkJ4yHLSi/H0oMC1Lk7KyVPeJ3hl7UrFdnGBg3centp8uf7rOOVFt6FevavWoreWe2C9nErODXZwlSpJwSqOOoctDIShHhoL3h1ausl8SGUZmqBwIq2NfAvrBuPBTsR/GHcToKlmXMg+BW75+ajk7oruncEXKgc+UsaCx2VI4SB1XgY49pBVbbGkLHhXgGNsSzm4R/ZOGNGpHxtDsM/wu/a15+uKdsXL+Pt2/gByEhewTc58t/R5uhGlJqx3us+6OTlPPJp41Q5kTAB1AyzaktpW6FVa21iwEiwMH9D26OyD908ntZDfnRbDJnyMU3Hi4cO3Iw8/fR/qa98mfJWTdDV/8oY+fiYmF2582D8CV77wwHAYgHngJ7FwVuhgNz3wwxEXp+F8YSyngxlge6GDMtxY16kNozyPtDLA3JwjU1k29KXz5Z/0kF7w16MzERPqDlT34/epDmjreNXOaQ6rHO3W+D2EsG8hfk26fHiA+zRvprDO78ipk95bbN1DmXFxSec8/q45MGGsgsPx+BnwAq13q60fXsGJQWz56B6jQ5rsD48iwJu2JhmpADo6ulqe3W/PN/JWPYC6+VSzux50UuaJEfGIxr449YTqdPkO+Xn8DeAa5cuUvMwD30cYUYY82WGl7QlnU74TfA4TPSM4kVdrfmM8a/6LZuH7KdR42+xg1G2io+ZMsRzf2BOPdMBjrhIbQU2kbp7EPtjKpyKxFuYHZmMTpi1AQhdAfnHcmJN4cV2xnMT1DwMdRz6iK7Tt3JHozKXR+qRXEn5Naj7Wr3wNggnaCOfdDnbEejZWhBwG3dmB8YQTd7e7cY99fyc1O1Zg7EzWGoFY74tAuaGtoMsTIE6n4MAeRRBfV8VtD222uizf4bdyYOEIX693dMK+4n+Qp21E9c+80XfrAXj6NPoqWUfhQVjfmzTwbqprLFreB7ws++X8u9/PzcxOJDZmcF+Gse680D/g5H0xUH6StThE5ytt8vtzlS/b9rXtaV1UKQ/AVKJ+PMHATuRBfpTswzBEXsLL24n797ie/6Kuh7LfTahvtshXAA+udU626rzRBt7/F2zk/XHE/gNT7MYUEIasJPrda6wAq8QpxFz42GEzvg5G7Rby5T5NOYQpDnBACGrWEw63r3oioeQrHTkhIf9y6A02xOM04ZRQ2Tnx4qcQNV4NCq1YaF87dNfpOggRgsor4xsdxvtU1IIB4dllXTF3vJnI9WlRj4fP4DztHuANky906W0xNmsnHWTEO9j8eVcQp0LlIDBcWYKxKKGx3UHiBjfm06Xsqu4dz64YfSU8xieJdpUFXldKdnnHVwFzz43rX4v5e5jI5ozguhGnG89x/40MeTyfWBhQrDzOJ8jzudDmDXOB73aF+rS+WqdmNHkGKvYX3k2nOxzXdhZdfKJot3V9rrHzE5Wie6c6KNf3xxor/bI84TksmiGeYtwM7rI1MES8f7SjOU4QO7/DMEdYTvbJ2D1vrk+nf+/fzrtPFUb/EEwMj+SKATpTJdv0/HqLfPyfzZd9zuJJWFxER2eqv8Y5h05klch8/WvN/QWz5TzY/Ysym56j6N6Bff+xslzeF91N8EltwHfsnnXYyDhpifBz713iyJvD4CLnduAE+V7IlF02YN98yuG9ROyPe9evRbbIraJ/6upLjIMrhevEMu4Svj4R95InEr0Ljg/fxX5lHvu16e8S+bi10J582nLSTnS0++q73wM/Bvjy0MRfDqclrMRr8vSkd9cqjmXjbJ8qLG0J8BzPC3Ps2s5fnPMYqj4iJeACvAKefFxcjk2L95AXw5X7xig2TveQigjIzw+4L7adLFoPLntuj0JhmvJkdwlDbpdQyKJy/7KkFR/HGL+8Uzc3Je3sSnwO5YIl/nlxohriFnOBx6nOtYVj55nNqCk7waFdkdhtWtocePtxUYLGZiy3T4O6PEC6qncwpm7CdxhntAAVvTcfuDRklocrXjzM6trBgDMfd+5D0gN1mO+9upNfpkyssjbyAi9Met3NgnPk+oJ74ZVwA/C7feDlpjzMB0RE9MvWgQuQqawAun6oTt8qcSo7bAHbYZ4ZvD0Pvf6yKA/j/5OeE296fLJ5xo25ZfCJJ0vyuHL9yKD3BDxvOGHLXDIJORjfRR/rmRfxrURKKPLlVF7qvJmiNYw2gqacehWdidsTkbDbChwhG3OuxkkpyrPGW3M+O1wiIRMdgHXKfL2bQkwHmM4PjwQEfUYZILJ5EcG/K0fZjO+rDoi8MDM6POXKgN29O2wQCb01cIT2AeIOdQSUsYiHrYeMdxJLLRMFXS+EulvklNII1AN6UtGjYa6dHCcMQ+gZw8I9r5ew/RJtq1S70+vxENa8AUK02hsMF9E5zwuT/F7sWJ37zfMNN0StSBJE55EPCB70RIQrnOYEF+vK5SSsJUymQP62I2ihvrb59G1L54goSfF9hxq/ZN09qtsudr58r3vZyzUsIuGYLbSGEcOwr4o4s+QDnAeq4vlrgB9z/i0ZXEE+RWq4cg27GetHFDfawXkavw1gs1rBJcEjmkz0Kn2Obid3Ye1qaSsCHWD/F0sggnZZwDzOy4UcherKeo+EXb7g16Qvg9DzRjAPc0oP3xZOAOmW/AnzN3lJ+blP7Ghvz2i3eP0+/0LP9Hk+hCJ2+3WYz8eDSdjWKSEt77XAdLBq1dOdt6gIyr/SJJEDs7yp/baZA+oJndibBHjG+VqAgXHgMTm9ezeVuvfYboCSd+/58MbJS6xnVwa/oY6HuoojeNAVR+cnh/am/CfcxrfgDz4YTnROR1oinDU4nP9KxeEJPucFp7DEJV9Ukv6JUh5pmO13ouNS9ruJxqLQtM15jvll94X5m/dFKv7/G9KPI/Yfmk679sY0EFvbIf93pN9l2F78d3cm0IR7unh9LPsbzb46cTx9zx0ecsQVLwyH4eaM+ICjUAw4XOgI3OHdBNMQKuzdVJyxNDa828qSi4YS6d9ERDyqf9zhBidZ1QQcNuu0I+ud6DyKlyPQUnChtmXSu8RtDpPB76wbF41KlQ/Vjye6TuWJvp74RFMiHF6pit8EY9kh90AiJ0GHjpZmFILy8rjbrVQ4wIv1S/4WG9A9KKBozBSdxceUdk8a0o1Qm/DXGDanY6gPTy3yGLBh9m4aN0c4QA/GAgIPt2vMacLjVN/Q1pNSCyDEnDzV85TC8Nk4Nx9LUzFAkNreqbhPJlfrSXo/yVDyMT3Sr9MXODHtFpEdphuncSw83wlrQYj1069pUOdvfhf/pOJ2WtBq75wnIo877ECuc2cgQm/7QVa/c0pWJOVfl71EHEwrwKf13vc2D3mOxh+M92M7nF59R94TeoC8lB3shB1hFhE02NjAZzhe5vlG+rsNoDbPBp7GqfGT5nh8R/B0OM4NDs8IQ1NaOqxv4U1HknhZ5t30lkw+8Ud89YLfY3tc5qWz4Sf1xE7CE+4f7JPJxopPw7uuiL8NbVbhttS74z3x7Tfa+C5MUf1Jx37SeaawxxP+prrexeN3cF0UVtmybPcLbYHJLjilLVumxcV3534Dk+yOtCehPsuQiUWRMi9DKhTYkt8HSMTtvXRqv8gvIMd5uhx09HGB2DpvdJ32HRhaQlyNMKwPxb4mmml14St0bk7tfgdWeUMOHW3P53qnTR3FdjsCJKC0T/VK0bt1lzGVtP1M2jiE092dY6Fy7gX8ooODHRC2C8HIsOLzUxrk8IiGVzoQ0ziRBUaTe8kihgzFQTXBddJF+BnHwyvYV2MVK1gl7EXsyNIpNe8e8ec3Uln/4wTj7bZA2aQLtFX4jbfPcxU3SwjVgzybbMsn+HC+THlZf4vQxqc6sV7PS/Ud17lgg/HbUSKj8G56WH+b9NIKr8mT86jU8R2ZPnQzN0t0OM+NU9UHOV3yvim3X9kHhXe3DX/P5U/fmix8+B7tfsMJ3NbmpzqnpOd8Zd0E4fo7EjpT94GVmN/HMrIy/YdPiR7XKj29wFGjoenE8n9R+nHE/gNTEThsGFl976cq/KSJSP7NRSDrp2FdsKlInHn0HYQy14Mw4emPOFUgrlTmt2P/oB8tPBX2kfqLdUToDVS8SfivV6t+uyTub8Q68dRx6ddBsJdd077DnyVD1O31ev6epxrAVQkp95eZiZLj9Pq0CqOK3HtLYoyJ3zUaCrHWe0BE6n1qsdu19qntcvI24CSD46SFowRFrC2i+25F85OQFKZAAVkmctGJ39g5r1JCfPpzGELQdoV366VwLxDftxug4El0B+hLCw36fY1xageUyNiljztUJcsb/A2l+MvxDOU9Xbt8KOiWCw/e1N6hHrseoV+8IQBPEMfuv6sqgPcftu4L5dP0Pr6bJ9g++cJ9MuorGplI92WMYEe5n97MMZE0Irw9OMmz3mnkDVydcCGZpzi+RPJUKLEs5y84p8NJdvW+Xn8CjagUI8jru+FOmOY43+/ifZzMs4JDNcmdx3h6D0AVW/fbimwH1WXrpOi0k9j8VGgNNWW/ZO/QBtwJ9G/jMnYq69rNbbHLVcqc99PKfsfrmkcpY05aXFuEcZz/S5dxHXS3Tt9HHkk+Vk6gOZ/cTlQ/jYv1T6HYo16ARe817kgrtvutqEjGGGt5xoUYPKnk9LTGxnI+4KkQqTSGp2DX6cvKn9Y4WuEZjw6SjWe+WwdPdSbf18BvyZOfCp+bThniYhrLv6A/3TiMvCJyaZGpi5+TPPHID9Bu4BLuXT0l361Z+JEmzleEklrv/UsiEgHSX1sYeWg32wK6Rn3INzl53mtlQt0x8grI943LNv57QRx3p1bejjRtZRywHpQzPl6+YcAXv+xj6z9YDnmmgh7EuPd5YUBHXv+1TjxnPTC2hY/UvrCxjvodz6U4Afux61Hb9CBts8+4wHDVb07HYhYnCO6PZ8KI8YBxaAsOcJ9OblowqgPomU+lD/e9Vt2a2pMNE9kbzLdE8s74n/Q6vTrBF/fQ0b1nYf9s+YA21tO1NsWx4fV4G0wRRfGQnMtf9B74ZdQtlEdADvq3Q585PV7FMJwKQLwUB44cNlEKlMPqwKE3yZCiBz1syq2FAJ6jXqRbHiZOw1aPKYrCQnJhn+otfONthIPsAVoLurqRD+xsfLLSEr0l3J/u04Y7g2lGDsl+yhHn2MZLua6AS6ZlTDege4r6AvpQsUmGTctRxqT0q6wxSPaxrB9sWHnBvY0nwvcF/RSupwx+nfucTjoL4C1lZNIlljGCFfs5jhXO1/0cPIyvYbq2k//OPijwhdaOJa6xT36i8mRXNp5V5riI4tVbluNhHyKXLGdsLHn4qVmIqHTiX6Ev8NhLx93ROXLAsenwmeeQDylEUMJNcXqabFCPqbSoVKtha3mF8vr8w7lU9lZ+VSILfngJRZVasKrpKgu2l9wq+qlrffWmMQHYmt000FLbPHJLnIZdIO6IPIi2C6rdFQQf+NpZUU82CYe/msTpaf3KfxdGgTrB7eWFvsfwgJxB/k31uThyPfb6tBwvqHva4DttroroXdMaI5QpNuUwFyaepQAXzmEm48mRF3P6ojIqwGc2nwrCWb/X4Q7oF/Kl/b7wFB4PxrstXui2P+aZbJ+j07TAwHrOoYw3N+H4jXKe5839DvUUqORcfMfZijZTyERcl8BxgNOXkYPsrIWrcwdP/WIHNNaXbS44T3itoZQ19HOPXIRwKtDpBMPT+9LX3RY+o2Ma9bdTCOsTPsp6iLeB9n/YLTPc/9vpxxH7D07tPp+TorQZ9HGB2oC5T1XYDpMHxnMTfC6ExomhVcltErPDU5QjNma57Is+TTtV24nMF85hNEbfPrmLQvlV3SwklRjKlMcfgdnXMaHTp1uYx/2EHi4WcOjhxybFuwkCFzq3tZOzKNCmk7xt9zcqX3cfj+I0F2K0tpRhcYWETgzGya0r8QPk1WDAO/xK30v//H4IqePqyiyMmyGsjpfDLuzaxqwQhICHpgO+g4Bkw9rpMRRdUj6iDM3xkifgobGH0Oljx/x5UOpYiDbHjSG9Z/vBj9gps/nAZKyXRXuBnfXC33Yiw6gaLwiztHt/ysJKUXh3e1cdh9gQAjQjg2HhfYm/iFdMDxoH2awJL0yBWAjd4bDWfNRKh44v34mNME5OowmO/c/7kkqrxAJB1COS4X1RXuDCU2c9va9Y5tps9ILBQzplOrp8o80G3Z1lNG8LfhzfNJcmx8txAeSQgn4Q/0CjsRDwdPoUFWGkb0TJlxtqPmEk+Ou4M9k6nzilx9NCJ/oWeI9tDTymNsZMb79mni5Jf/Ea5ngzMA5tljDPds7X+LYmHbGRf91URqUuBk1JO12u/HXCYJsFPlwMsIdhORmWuDnLadYq/prM8o0Qjrs2FvW6i+Q3sHgtfax4LHiMYwMih6giPMVr0dykNtHADfmH3f2tzgearw7U/RJCQn878g3q6kSfVeYmXE1HcXjKXAAYnfag3xnJpSBSYhFnWmjjNn/Sb6VHZ8kpHWgS9Xq2T59OfJZvL+Rd0fdkhuOthH14kiuQXp2cbbrwOzid+gu635hvqPe4yHZqduL/IjHvYs3An/nkL/JJmfUU5+mPOszpJBM59USkO1CvpB22a7yP4dQJ9uMBjCvsEYJUqU2QS80GZtCZjk7i72TPvijnZdPxD7x40lMOY1uen+BvbWd7b6+FcN4Dvftm7EUv04n792m8b0Z4yIx6bdGFpK9VvZHKWgHiG3QlrBYdOIWnWX2n/HxvMXvvaD4i6UQDh99xXu52eG2jJHsL3VUW1+I1A/dNapc5b+Mdg55YARARne8TbHn98an/8X3jVbfmG9eNUEnU5W7d/0DXeTEf0dkx8ZLNznKO+/g4b4NNJVHG1THe1Offi1NVaUNu5lF8bqf4ah/KGsfBHmz0POCh/IZDGy/vXf/N9HRFQXOOEpzfbutdPqZbj2De/VuNVtnI634KfBjTtO73qp2ndRO/G3VMLFP+TacXvzV275yiNJHv3JE62bvsEP5fSS/6xXC+6+T+q2nk838xOV6rb+V/C9Hn9OOI/Qcm3mEbjlFWdkRC+MdddirVUTEo5sXIRYEapz5kn4iCfF7lbqMp6b7rcwsVLYsyWuqIXZDoLIVdiYmIoT9eLhjarPxPjtdcjO/tF8VGYCc4Oxz23Zdt0QiUsMmYqAqPVWdW/NUNX57eKMJ0EKCBH2L4BQ8f+/4cN3J3GYO8ftLrtFDKzliHpxmEoEgXZyf/FciPd+FdVvIVQ/YmBru77feRIhxu/FhFjajB3aee13eQXnZelL2BRHiHMy7KOg79XqIvyZOxkjR3awLmO629Q9N9x9NdcutDKnC54JZ956wxT6Xi5mQAo9FcFhe8vcnwkE2zX/Ujjtvqy3oZcBEs3ua6T1FiN+B0Up+dO323qRPLOlHdTuFD3mYcIZvYu0wXH5Dkm7pJVwGXPhew//BPTdb9sl/wXXLc0FiLsaRTX76b2k/DTnfhlHCuXLfRtz3P9NYCO6b7Y91niqG0OESu330ZMKjU+23glKWf1C1Gwy57fWriRCt9R1/+3NV+1Pdy5925kT6gnl8bli8tY+LPelMfsR6c/4hP2ae3fPwBL+7ANxWRHRr3+hRheusrFzWtE6wV3xH1APtxctIA/oVxSXO2LM6yztDmiYGM9foq3GN51xGgfo/yEeWUjHPmbyZ5RyXfcy7rG+8K9b92mYz3iQz493pxvqitu7Vt3+XVNvAwD0Kw8UQ8/hOAf8PscstlW5y0HGT2KMfDcZLVjg5mgbEqwEqdX6UAZFMR1lWCTqGtkxEWTlusdmBEuWFJ+3uAqfWTcMM0nxXl+xKqjgy7tla3x9QdiNZOE0q9Rw/yFry5WrDpqUZimUHufdh5rxyXKQXfLs946izr8o13xdkMp8DN83P9Au17fyODEn9XyPvfc9fPf3UCB+m0OBp63KBfttCr/Hcim00TNcTndoJNJ7UeHLUC9D3BF+mFbER7ty3oQlmMdvTK+Vqqf+rDAN9pHFbWSteV5yfty37fxBPxfl/87BsnYH5jRIC7RlMq0aw8jzMFrXyU4ZhSsxExYRnHFY/D1mt8Y6Bdmwu7jqSIs7VhLvuT7cZdnG5fIW4QzZsP+2J1i9YScCYPGzd4P/Fmr5s3nWktx85YbgP1zdYE0grpbNRM+Y4y2utxWBpd032PhY45wkhBOtG5wwD1sw0eG8u9SsLD5DjPk2Sp7Bxlpn/TahdGm07/Tlu+FuD2n6QOt0Vjj0bp9KOZ92khOtre9sG17bw4CQs4O9FCG2vQu4Iv4Ca/4bReq3D/jbpP+uBEt8RDwh6Cd1N77nyMyFIMG9IwR9MAHLe1Kocd1nbEN+jemnvNsJzJPr3vsGkdRKCd0pXpkAzBE3r93hTtvM7X5lRlRRlzWlRZp6XxRDbhJdYInGbICRv0VE7EWsFl+Yt8Auw9TGjPFFzwSTjPi/C4M5aRhWN71b8Fx5D3dI1bWSOh4WNdnOvmdQ0sB6DW9UfrQ5/tkMx1+Cy/FT60PzU+CuNS6Eng+SZePo0DvR/7+CrfqfgLfsdt1XWwzICwHu0C0oVGmhMYa4Rj4qUF91iZ88K99cvykNMrO7evN2h5X3Ci4I9h3DBMp8Tt4an1Ic8Jvu84NlkXEHkxdqj3lsN0LMsWktu6BYM2+Uz+A+nHEftPTjr8LgwFlDPfbbjzsoHF5ca7WEQz9CbulvV0S2mj7Y4+KGRNEPpC9Rc5e2UJ4BZWqzGQ+vjs9CUcqMQib3FwEwMup22xPjjpcRRcD4pphLbdmpWhchnl84J4c0XxppMVyORROUUF2Jv2sdEVys5ERbfDM4xNGRa7BobbFgo2vCnsLZSQJQwJPv857bgDrTfGzcdhN1yEMi/QGaF+K6+o9LCyXhwWIbT7Qn43LiVoIPANjo/7WiFeivLodAZjh4vOUfEgONA4rQIaOu1lFf5JwtAcRF4MFPuopwk4VEotmmbFwKBNXsCYkivMGbKFmcWq5/5QCN05hO8ulcI3Pnnt8++yDME9pLoBAmCJxYGkx3b6mRT9GF+TwL3XW067nfgcDrFmWTesRETkjwxljKFysd7Ct24avw9gLf7ecmoXkrj2FHS4EB4YE4QVjRLB+r2IwgKuZGNxchg2W6jJcp7t39cOMXVvo7TMzU/ouyfVFXrKPxRDU5vROvJ5mEOlT1eG0QxnqdOsbNl71bDTUaVKOlkHeihzy41idMAyLJVliS+EXEbzDsYGx2tKp93PCVcuZhkaD16nZR0sW73+0Clw97KX0yqDvd0iL72jwMfTuAZc+mPAO3RNgcYdDlmO14YPHjPQGfyZjX6nlQtpxR0m2G/HL/NUg/vy9nNU7pOLFvXDOFF4hwv+3ibx9sAJhhOUGW9FRg0k0wvMdaRcPFQC8D2GepPDtzvnQpd5kJfbR34v8BtpbeexHUa4OP93nTk34TSw9HpVpGzMa/3y7NhnnM9IB6dkeY6sbfiaspPj7BXvWIUEFrYrXabjxHGnnd5/0mN65bBGftUiLj3W+8Y9qdPn39yNHpFSYF6d+MjkTMRTulhnwKlSdOC/PSHcT+/ws+uKpYy1+fFqYanwkZAL+Tu+E06PjukX8EZyntE2TlfY0QH6in4cnjgZK0CzJkVOmmxn7K7zwsgEKtUW9KbRPjNJZw/qthLsKPqw+LrkegX34WmMbJeTHNeiY0Y7ffPZu/TUxgbVgkHGnBbocU1hXPTH+lXCdo5qXo3v9A7a9L64HmYC8gDkYLHVQ3VBQA5pwHsBBXUAfmf0butvk+6OIWTjE7c56R80F2Oj3oD/6lzofeF+ZJ267OHQCeeyE4xlPk26y7tym/m7zmP6Mg3zVeh3NIV8wHWSWyQ2xMmg9pk7eDT1KoT5AbQnR1TA7ux+wodU3my4GVo6reK6VDtBvf/Gu8hDV29Z/c3rIa3Dm79Uu3nL4kGulHnjdeLfb6a2UWrCt8q8Xn0am8Cvb1abM6JcCfB93Kzmy/WyAQ6EcbePPGNUhYgGpt9jtKYB/r8tFbmIeliFj+2G78CR9oFKs3PRGUvMl52xhV6HNlp7zHtl6R/cxzPgDkiFmWVbyTulB/2a+U1Zoz3Izr+TBlCncX58wvH4bXLGPsHa5M9/hxNW5McR+89NI7eVVIqHexNKjOwHI7MYx+QAKQKRNUeX+VrLcJ2vwtnEwlfTTKEu7P9JgX9QYoPR4M4oyNvCML9iQFHfeXLnwgbxURJ8ceemM90JX0YdVDTdKkzjMyoPHPZCJWuK+ztMkDkvOLdCemkY2axQJHwVziNcp/dufMVpx9RqckGexikWMv1UEwgbvNtPJU+EQLtl96QLgq+Kh0noBsig0CLIYtvBZtIcnE3xlDpvAxeRH3dGW21HMF8tj8reSdEThB8VRpOCy7YYyoJcso4CFija1XkwCVWfO51YjPDBePf6i0KnSa/LSZNzszhG8S/iRir+ysIVjF/B+wX95LyEn1j4cQcMVuMLSFhGRfRjn6BE3MTGGSdCCcdUWYTDMiJrwQnx5c3AQpbxePtz9Gc7T6lfxdAD/CjXi/i3fk+j+vzx/sM8q07fOi/UYeQ+QNJb1t3OYaBW+iiLHVbL4SJnjC30JRwTbFwK5UGY/LQ34pnoM/wWt2wnce5IRoNazDeB0A5/P7U27I6uyMl3HOK/9IuTj7vYwi1FN+A0Gc33R961FNWGs1hLXTG2sIAcn0+nFsuOywr7pEJ048DpL8MlFtmuSOfMEEl8id+JjvzEAoeumzReU+RudUq3ex+9r9y305gMDjjk/8YdIHAmgxfn7jGZxGYFObUXAEE7iNNDn+RFXSx/cX4/Oj+gj2VITJYOVFb/VNpCgbepInHfLtLSGMJ752WZSinoYNDrGH6HQ8XlTmZkHc95o11AiLtvgQfEy2H+ODxHJz70U1QeN039pJ5GfQqGDHkpnxwrdQx0f9xIo/Du1Xyn+somrPIR+CjNe3/H5ViH/FZI5iHhhoPpztcFzsY325ukwzFMPD+Y38SGjQM+T3OohwK3/v1ezu6GH/Sk4UK/mIR95wuHArBd7+F5siF5/aA8i5arM0pd4vzN6dmquFMR3xAcG0hxDvBVL7uIO860T4uoFx1+HYdQoetFKFtdV0MRAbZN6rKu22oAN/HVZp8h0CiT8bc/F30P6Mlhxm+OE2p/6ZP8ss6XtcEG+nNKsRlt+HYqNsjNRkcsT1EuTsofPfOBhjipyXjefYi6vbzDUFXeYuM0O9Y3tG498fpMfsd20CudABOuUdl1uFsQ+6PtccG+dW77kLW51UQUTm2WqQi2UtjhvrYDm+jK2oXDsWlURcp90i35fOW2kWY1YW9FfV4HnCl7bPMfHSLieQXFRoXxtD2WmOeUmrNTRORz14f0c2dfMC+z/MnxGs94ItadsIMcRlseHXqTzFbiG6VfmNp34u3D2m07YMRVbhmE+UZeAzR2jDSDa66blxmMaesL6L2NB6u8npsDPsbTskObAbvRd+6TnN85nCd42LZ7pOXhMEtrmzYx51oNFTrZ8vFCyzfDieAbXPl+cIdfZJRbkS82fFH7DCL38yTfQs9mAW67abhrFniJ/w0UHXD7DkwnG3PcbKRS+zJuxtTK53a+mCea9Yzhqif99sUGzoULLXmVBwXm6386/Thi/6HJrhSOIhKKiIen813j5eTCvhMUd4t6agZ5TDTNMIAkQGs4hnqv5rTIuFYWqSOabaMbsZ7IO8Cpw7sXwqoZ4W7gN+adSqAvRIwhi6mtPGGFGpArfgkLM9F2RB8UzsYAh9MXa4iTkT0Z5imAs01eLIz37oj9rKeTc2cO3MtGAkuvQ8g4Ol0TacCJfq2TibHQFid0d+ZLHBBJgqj1XXFSKufF7Q27UUC6OyqR969sooRJFhZIAriVVERwF6ymcosnzhgHC9ca89ZPesZz5AFcBPA5Z0oYmeADAI9IOscoFUXaYbespxgObAQ4LlAZOwm9W0pYIQzhFAYejs8IK8ytg4MrjAiVtcFg909FxD6sK9zD4qOorNPXDhsqGAbdv63xsJNBHTDAfIsxcYeZ83M8PfmhSbcqcv259UKH7RK5/weAsvznpy51vy8LSirn3c/uzPLxhxSHM8qY+0sJY9ME+u6nwoEW7ReOAeBi1xtkcOVizOXhg4e5VDYlAc6DZr3PkGeFH973v/JCrhunNxba33Ce+Xh9gVwUTWf5MBfCiL1B7jldfEhpr54GleJ85V3LfqJytbFgur5ETJPur8+k+3HxSZJux3DEMOenVE7mfi04718geIzg3mU8dF2E/VeLkGwZgotkTUxEXXS+++yLO8V4MSl3erLRwIutyM/wLzv1+4L/rtcXarDfkw7EtAULHKt45e1oQIbegOHkBhmHcI+nHItj+nkHKRtlKCt4AZGN6jFMFMtTOJ20xn0wSl3/EeirZblSP8I9ODXzm25dBD5AH8aFVupj0cuM4Du0q46AyJ+EuHCg43jEKd5fskNu13ltmnNA96n01gfqX/BdcAZ4vhJ55LbYZOYR+lSc5i1ok3cz56JX6jZFLgY+KgxqEjLlv8Gg/sckkEfttBvIYhGBE839/ldMfOUMRy8QQV7FkzDbRfjQVukhxrXmxeLITwed4NSHEhb2UHeDFWEm2YW48DZPztjxTkys+0VqG+wa3Agc6GQi/ZQqXgXE8s02TxEr42qiyxEKExHD8XHfRvj4JEgxoqXg0t9hdCrewIZXtqgMNLM3HAaPQxnuShCOq8sgEVHc2O4gM9+8JSN8HfWi/Y3lH22Ua3n0QB+uXpAjVwTkcLwYymNeyNP1ESgfYzP3EW0jr7ud9lJJ3QjL4QZjGG8sFyDg3NR8h07Ik5O3zT+xCgvPLWir4BrGJhxU0O9qJ0IZ/4uHELCcSJF7sVkXpzXaU6hzCZQvuknHA+blfKfF+EKH3J5I2BktKsn+z+nMN70WHZB1PIQJ8Ib8LxwWDfn+G4Gk8hXE4QHHbX/wjf6MAMYF6VdxuvWS5bRmeqPx4zodblyDiP7oPF6nFNGWLGFNR2zalTgO6ICNuer81NessA2gX94I7OVPm5kQJ7OT9bl/U57xOhieGyCTJh2z2A+7vuBFQvNo18ubJJI3zfWPNvcEN8wVHnuk72ZrTTJhSGhHxpzleSnYv7my2Dw8NpJlJqdq6RfSl9sUPIcQHsG5kmv6RXZhvhOMO1/0vdEVwIPwcR4E9YBL/O4beCcb1vt1pDuh9wcbDO3Bb9lU7vAsNK2VtpnuGnC9waeQy+jYnfBbcCF9LJoj+T+Ufhyx/zckYoD4LhykUzEwDssO6UnpQEGwJ1ROAnnZxvEdC5UmXHhyHUJgYV0P5Z/SaOxvh3fZuQkw8OLEW6G2JkFK+lvCRO8f6o/FKhonbCsEC1WzmLPGjuK2WKD5bwSBdzvHwjZq3AeYB1hKvacx1DoucZdqU1wzBHIIK9+tuo2tS7Q4sSbFRLO6eQxZyLhCplh4vx9CHdZGFmx1E8GjjtTgmTYtCMPyIrEy1xZ6JuURFZpTHwdlqZQ9KaYHQR5jcqp351EeX8S3n1JW/4fzvLbB4Sofw9hhGVRiEa4nxViGb16Pybioh2XsgG+GoTRJcDZwVNapJzKa0RkbfetdKfgvd7WcFEca28UXe+XmcDHQPvdFGu143sKqTGZHK7UV9MSwwxjhcwmfN9xlXNuCRWGT6giyTivFCTvtuJ/mjOcxqQ4ZofyvFOiHfuzOyDodXWX/GJEi4BsIFerDv9MCdCjf445nkOcg9U+GB9Y/kg/rL9N847mNqNC87/ppcczLFdLSfOY2jGnSQTrQxcl4O21KiXdK+IYTkI/GHBhQ42L97liZ6sTfGMZXC05jWaymyRxSAMZCWPGhfCtzBvRpEaPR06HO4Jv4GeUdjH3IIJRxnv/EExAkjogy8JsTnAGrEv2B/D/ypajv/XH/fz694C8vHRUHnvLYJGw8PN7xSrrLsS6wW/tHrwq+sa43Vipv9+VlPbvN0fZ2XgmbSh6bIrbLTRd+j3KBdOdiG+phg+ywwdfLTqn1b5DBJtJtQzwN8ZSUxvBF/uZEl47ndqWQVRwXHnhtWEXr6UaXSe3EKsAI+lLXXasOlB/yuTgd7UDrDotC34+4gel14J9Tmfj2JN9Exk1OzTbxvCf+gbLnaR0FcTvNW5wsCnm04lEPcp0dHsVpMuhukdDJyGrcgbcVZ9bOZ4EDibUK7Et1fA1wCH0bcFyizqHMjp/bRhG4S3mwtaLOU+KxPtC7P/uazNogNHTrDdnjcy71lw6g47DpnJjdx2A4Ka13LRjLpnuerb5uHPrm0lv72DFdYd+AzqPvSu+Rroa/3p+2jjikcMQCzBiOOO1Eqfw74BnuhOUNnKf5A3N+3KT1Rnpcg3lKgEO2I5H2y9pqNLptF5crvzNHSn0AE4Pp61Gaz6e6u20vSXMKvx3vRGtvJeKPRY5GfxCZT9Eiz+8f14enNODwqUx39kryhle4lYcxb3TsSNbWLutqZ2A187DugXZ3wO/Eko2dnJcneP5Ssn010tDGqZ1KuwPcL9qa8k4O19P4/ifSjyP2n5xU6ilNePaTrCIShgSHvgnme1kphwYALha7UlJO23pdaJTERLIexuKkNJuI/KpKz3iybSvTuEviiJuHk7AMA94NKV86n+7j315W6r13AfOGr4SEBmXFPkTslzsJN05xcT6UZngnXTGMRcqAEU5gQJ44QeEntNz7An3zk6d+5w62aZeWMXm8A45OKI0MmHEpUoS1w4x5izMQ6z+camb8+D1Brkz6OF+fq6/3HyJff6BUzPCQ94eIXNAWnuIkpdjDS5eNDTR+k5Pz/nDl3QoNZUhK6KbjY/cVQ0yfaAbhxd2puRsq6xWR4CFBs7+cDix2n98fcBLClXcD/CIccD9mjCXnQcec//W5Y1meU/A7GIPynRynpvu0s6zTpGJ7TsKJYROV607cr7bdOPU5K6KfedqOjU81WRsTvrTM03ViabcrVOYraSp27eFctUWzpiL6oXnv6ObFsVvawzRth+kNJ3/XBpPsa4S5Qp6MfA/+2uU7nK0efdp/31Fy1PHNStNk+MJJdDWJ3cPIS+XacO0IDten8zI4OWvQHvIVWLALR7KfmvWuEE+Pk8oAp+/65nBaxYDdA/7xL8kFasQX4s83xnxmG0eHquPkq+Jr8TCrtKQJ6/UpImZxahbvqy7GmsjzYt9kCAMPKN99Hn/C6e6Yv3vcPs7lSt7g45ryw8eU5mORKQGjNtnRDCPgkVLkeR07nz+BS6RvGrvAaYSJlX1KGWCG/pouXlRkje5v0GZJOI7YH8f/cBqybKzQpIGVX9qYqllsVlu78C3ymNTyBY/xLfWIvP/T/yV86w5zHJi+c3dacEInX8l7D3jRXlaoXMnv9WxegKetR3igjXY6BO54RcfmKwM0x8jK2Pm8DyMUcOf8AOk2bAmPcNLoVVyUFLi9L6stzf59mTRDH+RomT/eVxl2Yw8Lc0GHyN9+0us00FK7b9WzwknYwm9O4f9+Ywh482pxpmnmeasuhAth9zom+F5VPfFTaq84+1CfsEP/YoIMZbEdq4+rHx0+lNG+FGVeCJyuvpiMenkusCe/4f494SLwGiGBK57VrIX4jMUyGRZmabEy2oV+Bh5QRgYPSd7l4GQBeN4n2FZEJKvfhMusvCpS+BvPh6b/gDyNbuFcEqKHXWeAjnJXAEbim1H0zrkzOeHUn1keScobht1/Y3vTQrRHWzN4H8UZrzRWZc1kv8fwuqXoQbbjN3QIoL5by0HbYStZoTOcz1GO8OQn7n39yFR6mPyJZvGzpg6RTE+K08Tts1L8HqYk6mk8B2R+F5HfUC902naYieZb98CpG3SGfTZfI+CBWHmdX6mfDBUIRz/x4ImX77Zt81+MhBQ04QbgtoezX5a6DepnIPeys9J0N19kWrqvhh0ebVvy2uLUhHkaziyQH6jrG6zWK+SJd7qbHORKWe8Z8BYwOGyu14NDNr5DpJLWPzpVzG30+Qv876A/YD8xYtgpT74cZBhnKQdpJGkeQSf5uR7WOKdY6XTN/LK2O8PTroxwmMR53aywoI3JejnLzpQhlmMrtVzQHPHWE/xoX8WaJL1fBHrouH8XEQ5bXNekevnIe9hI9rRB9+igHeigwaoWfOuVnPI0wgn5n9osdpeJzI5F3+zxgOdDvY/lmO7KejTJRNYPxOq8OQKy59RF9MpwvKpDJPVcmLOtnz5/3zhJ/+9OP47Y/9vSE/OY8j4wd05dQL1xAhQVSX53KjIoDK92fLY232zr35ZetWv0d6oC9VZDxgZl9cz034KNFMyyKDbs6C7hZbz8066bp/QduFHhHPT5UCwE6DkUg63skeDQ/c6ivBQ8o9LtykDZrYrw+zuE9x2hCqmUH57fSoQnHGsU5Cb7nlohReedNBqTHvb8uwD/RjrpCtMJ4FMVoXQ/n7A/hyFPWmg0w3OWxiFCTPtGCGoTDR9WjpWUSl4oNyiTMPa7Kmtn/iYWCfiI5++kgzJr+M3GrK+rnvjHE7zwXpXyTQn56QNwPqcV2zYgD63P0+7jNsfwNAJvpCD4xqgB78zbwLs1/ioCMmHiw2+mLld2lSBzpntj3QCJhWY59OdB7s0A5c/J+fR2+p0yIo0eJ2fJ2IYP8SAjUV9Qqv8xDfqMb3BK3p9hpKf0tEDzV3Gk9Cwyy7S2sPBCTpf0Ld36hcEIMPRxysn7qEdtY7KM57s81/WVVwsOpxTz4ZWgtcGIh5+vFjtenAqe6vxJb6ZJ3p3GA1nuPdgBU/UoJ/R1/lP6lu13guGY4bsVylt8IPBjDzom1fXoNCYd8i1e9A27HkMI/5Y9eYBtioLxrTYGfD/KES4XMq+eli2OmpNOufVnNSknaqstObQ91NMcxJDeiqL1Kj3pOxPN0LsnGi1jRTbkaRy/Q0M+NhOOHheovyO7p8Tlf3cYTuXofdjzjzJdEuesxw39Rfw8OakLPPjX6dvbDH36AUZOWn8Xkf8Oflm3fEFbke2kH3E/y7dzx8ZPOv58hGlcE3Bb3+BZnnlh0+dYzxv0vbJZzmWuDnVJfQ56ixOxVp29uz91c0jmZVs2+/3epHrFA4NHPERQeq5Aev/3+s8rp9tsS+r526vEsry09aDrgDw7wejrGs0esi4DefwLb+I2vomfES9v0wLApP25VYu2yBttlPz0flwnGit5buc0rx/rfDf9DerCqBuW9dNnINP2/0ab6GCnDdUiB9z4mP5VnB3S/8p69RvpxxH7f0lqO2lEYDfMxBFSCNWKdn5W3kfmX/PFaQaAKZwOh7BWeGo2TqW6UAeFcFr8nRS4lk79gfoN7xmNZ4n7EryvT6GwsM6ySGH5u+3i+oL7S+NuLG9znbBQ7nMUXgtwcfKJd2idhKNZKGmh7CIutgDJk4zFqha/FyjC5YjEqb4VyjPhKEKNTs/yfV94aqPssPFwA6xwxi4uYtKoOPvuq8+1GBCnesX7uuhCy0mRnC+My9vynk/fxRpOL1dgHewLCk5GhtfvZLf7c4ll3bLpzlbocNU9dhiqKPA0zP2Ag9p3o5cNBhh/TqUezs9hCVmxdTrV4RulcCaJ5OlUqMfbfjw16c/75/2x+NL1uU9uXZKn7XDn4W4/68m50viG7BNAdKqq75SFPmkdH1yYrEYbzBePPrDv9AzItI4JGihxInmHAcTdonqp2MdCzk0hgVdfbYVQwhNHAqwWiDfuMfZ++m7Zrx2BAU/oAa8Ng99hxf5UNBVclruVf+2mf+X3aaf+woduXOZCYxieeKIWxxjHjWUHDIKfPsXTiGEEcz92nc3h6N+gKX8+0tOQirwPnp5yZTLGHZ7kwUivyQ/KieF9ArLIRNQTHH8Cu9qF2g4+OugFmxbwhGCJ0OB3hEIqu4/dc068Bnc8Ix2gM6rxsIFXTTK20d6VfzNqCdfjY5M86P6F4wgo+eKydb4zHBOdrHH1tsBxrbLkLM95H3fXT0iPRJrhUz0MF87RQk+E46UvauZ1gow522HY3e3vgVcjbspJWOIdtV+x7D4aj4XP0Cnr2J38lWMbshXGJmhv68qKnRlgW+8120eZv2nEQ8AGzGb7tBTAdw04e9itzuMU+ME7ImlRK8dmjynRZJkbGOGG9GyO3NFOWj/oEz+JksvgIaJIWQgBYVTsHidnjLgA77mtedEvx5r1L24rI8Gc747LU2kgF4owrenxDjohuTZWINEe9630BezA44lcrkskbCysLyNV1SYnmd546nlaJ6yyee3gjH2yKUM+7027LZqN5UNEB9p0pjfdnU3tTW3VF4cuOV8E/lTsI5dX+13yYuY7cMpx6+Fu10Wft1hs+qt5Xpe7B9CnvoIOVfIQ7xz77jo50EDYEgIRF3hRnvpfwoyedCLN4T06cdFWPfGKU3nIGzKY3ofezPNd6S/qxZht29dFNh3mqdstVMEZZuqTqa4TnyKjrRNzfDrdx3ARzxDiFwGzkKyEft4f67cHjnEaVl3fzE+NU11huzVc5F8j3W+1v08pfexx2AOq/h/bWo5wpx//hPYs0ybhq10vwzrMAP/xhCDWc9VPKReTITA96TS2u2+j0xXfGQQdQPpCfCFOHWe4RjDK4mzn+qI5v+HFcnlyG/r0hXlYlg5tOexSf08btUqUCzjB6dFnxjSMq0dxq7yMIh+2tlM3HR1IItnf0bFV6y5zfYA3nKiH9fqjrgv8/OzUt6w72gG4sG6cMgQbAz+O+4Cj0Rb1qh5ULbSXivOPD//EOkLXKXg96Dt3gr50nDZaS7jQ3pvK9PWAuZ4Ci2xcPuqnVvIzfFN/cE3MPs5+BFy/57obnkVAbjxv9k8+ZKK0SWXEf6FXgrfJXee9QBebadulPWrrfyD9OGL/L0+jE1LyuTkNDwrxaLw+TKwMdxIzN96LzEI3Jpcz3gHmp51TkzO61c3vSuXUzwd8/C1pKzEYQkVkC9VqIT/UQUz3wKALU2Zh4e14lZpNGpTnxY1iuMlswB+Z75HOJBYESt5hB81qVyudML4s8angDItgCYC3UIScNilkrocOCoUA2iiGnL+m8pMy5eEm8T0qEEfq4zohjY4sUGZaHSf+QHWwQOTF62NRe9GXIX+A9UpnQkORFQHHqUqrp/AKUPIyw65TJcKLjif1B6PtxLvwO8Mcz+TULjhDXXf3E+8QLXmM5jWWRTpwgy0MX6n1Xfk7SC3GE05jiaQjlsIZhUGI44N855ZYoJgSwhuOIe/WlRlCkUT4n9Iu446oo5Gzw9dFlTBPxzBTD/2IfICLid4Dr+BUD3gO7ZTQauKoB3qKtlMO8L2w2cawGA288WmBvKVBhj3eb7ONY3SuLtrLUxMZrpsnhf/WLg8f2pwWOxPWneVdBiYIe9UnxvadHnw+q0W0gqns6CB+QfO8IDIaN2yo4iYpf98s6nObnNAx+JTCaUgnn3uF8Jl5/1P9gO+xzknOsbEXK/DvtVucok0+DzSC5TgP9kEE5PueG6IFZten2rhPOtWRCXd4cH6aNhArLrH+ov+U6uemJxyDk/wn/c1J6W+ZZ5vGvrWY9R7j/N1Tr629aSFdZNCTv8HQOQEdv31id9DVW5073/Hkz0GG/B12KvKK0XZ7AT9HUIpnpqNJ5v+GjOX0sqyP2dZb5Nail7boT1vRdD01dN+oCu1KKf0MXRTbLsAe3uO3p65gnqd+P9T13ZPm78jWd9s+N/IbZQT05YNuUx0/0NyTHvSNdt9OSD8AM+dZ7+n0dRIeGEADvI3P0XvEFcEljL+HOVuaRFXtpFsVoDqcfzkR3Gqgam6YXjpWIG97J3N57krcH4svX+jnRzgE5ik8N3iIhxXe1WQF1Y8nWmlzeNp75zom50fkGfp8XJ99JyEPf/N0bIYezqvC0P5s40ljfOIXL+f+ZEfscunY7fXOnXjxXWa84gEmppXnyg7vbOg3t8vrtUMdx/RdPQbaCZ3lycb8jo75wMdej/1rO/exjUPZul412IS/kbp8yLof1/APa/KPbXD6zZPF78joyW78K/rlvzP9OGL/oamdduXJ5I++U5V2Oy5BhndxqIzOVRb+aHBwHjjZ0aUQwB2AbEHhAgocUi6kmiOXTsb6zk3c2eTLM80JrVUYF/A+oBwuNmObAPf9oX0Moh9SnqOYn+aiXcPTztTiNKTvZWfMi8T34aHSVBgVnHhxBawoCt6u09M+BRv9UhW5RO4r8bIK2lbuEQjJSgXryYW1thA7wVw6CtXfML5MY/tEZA8xhXHsSbn1Nrdied05LkZ9KMb4dFJJ0gDCXTrNaSsAw6ax3MQwK72+c9sYDjzhi8+/9vNXwuT52LBFWoi7iGARQ26r9yKyghwnq+AdKiGh0AOupj7E6esKM+KwOO0M4IU6H++U80/k/ELaKwoCjq23yX3A6idDF39b/g5a1nV/caErW3QspvtOF5/LcPct3Dnpp1HjftX9LkO0gXFy1TIc8jb65ri5952sm55iHHGuT3PC+bbK49wOhyfShIjIl4go8JxL80Ck1zcuaG5F84IOOezeN/+rlfeMslYrOQe9qMj9S9cd1FLz8/0tqhI7ydMRa9H/x41GIuEEZ4PPv+H9qQteq7TWcATopjB+/mW6F8/zIN8tp7CAHp8XCus8ixN0WCZwIoXmVhcBRu7XgdbQuSSAxwqYj0Xeieaw+n3ZeOLz0ZgZO56nFVgGpbwCNOA4s/wAObYygEORN308jEXbZTqcZDwaPIgDqKfoF376GTYT5C7ulSfuiHU6RrUI21cVI32hwI58Sei3z0Xqszv1Sx9Gupj7H+UQ1xO+gXf5GBvIzTiR4PNNV2QDlRyT1rcT7U2L02WsoA7Kh/qns8i8l1xyfkOZQpvl9BicxKDIESIov5xYLHWggfZ+0hsJ5fJ+fsWPS3F24vjQSDrj2n2KtHEz2p/mos9/kTNM8TlhaZvlkIZhLrzc0Mv4eZFWZKfnEzZTmdEuOtXv8DhTgHLLIWjBa0wkNrQU/v6Ww3jxWN4EYih8JjkTD/ndVEU+1oNd1Wa2fQyv8IWiPBMfkj7Pm2PEFxHx5AfVUco/nYa4NrJ1V6IiahqbTpbj2vsmctMA6pfz5alhhLm+D3zyUA26SZm/6rqHSbtr3fO+GH6ks2aHhd5QyxTwMdIF5lFZd6ca8AWGhfSySZcxb+PQj1w3ko4jrx/qXfAO8kYkcQqKMOMEde7p9B4mdALFnrb7gRc5D3Te5q+HSFGxZoU2Bcp+0KeiL/su27JpwLJPiGS7rJ6u9KpDblidy8h3ke70sMnD6u8FE7QP0xCRgXR2shuj/g3rpJsafrMcUxlgVZHmPwi/y0lkIV1jRf7ZD8RMp6FRForI9SkFp8q4UJeJqz5A/Zhw4zTPbWX6tIqjWMNi3jLMtQVDnxdYxuEXOfDNVg+cjAUdpoVad/xvmg8xddFIjc7MTd4c8VFEiv2JsE86TQVlzFtlNReY08xr4IfCmAn2Pd9N8qTwyZEmRVpkoPieBZot4Xx81+G/fS2m2VA64Ij0EyNc4mEe1mOe7mgtODikpjNMsgjbhv7w2l9ZX30BI8PaDla9KNfKK43hQIetLK89D/rk01oHj9NF/C7WGhE+rJPXD/a7ckcz4dC/jTb5bW/h7N+dfhyx/9TEjONESyoS7i1irmUCuCZGAqUsBJr1hVDB77uIO2icCUUdVmApiisqTJc0x8l4OfuQyglfOJFVBOhkjKr08BXwLQtLhLFsi8uQpyxEDYybw0KPYeEcdsTfdsoWpZTbxyoIz3JLP21DJydwzG9aTEN6QiNURCKkgS8W6r3zKilzCLMLp63Qqa16UEC9u4hdBB0KFhZ+t9RTyJgXmbfBd8dBbGIQMtQh66DUBGyoZPg/pJVBEcPw3mWRfxibUHQgvDaeJCvORFw4PShgqLyVzRpO/9CHcAZ+0BxTy1A5m+49ZGNTTqIMPcYmhjUu15dVxVLxb+2vWdIfOmmnxYJJ+RtDyZ6eLXFSFN6RZw5nenb5gAMWte1Du+G+FZdglwqbWvfYqqRjdr2rk2rxMwC44NMnYtaHfVOTCBnsDthCn05P1C92eL2c40i3ML+CD8LJVG9zNGowqVV+ka/rxp5QWPtYTQY2zu0IE3qpmGaYUwWcOO8jVlK+i49FBb8+D4swLYyUj9+VVZYQj940bXjyeVc2RHg+lVluel0tBLYWg5kTLlA3foVKNhkgLjtK21r/irjyv8o/LZJOssf5YOgLls7Y4LumVZ4zTy0VDq9cN0AHFZXBKistEV6ofXTClkUzlV4O81t/5zSfsi3H5ii3CQ7/PTq+Xe46Lj9063cqfBKaN5wJ0i8vCjg+CAY0+pocp+8tae3TaNxNvA8/k24Qwwb4wTmO82Tice/y2PZeq1Pc60AdP5qy5JdlzLHOcQ75g7V6S3aQRYyfn/Q3J+TN/sqdHg/4LjbXmCHrj1e0UPrqZN7xO83jl+lFX8Yir04O/k20eLQXizwXKfY1JYa1za2Bn5emDjJvlQe+y3is6kKxT0OWi/Ww2Fu1TL0bdZBnvbDw63dpAPH2Ytx8M3TbsGtb9mOdAnNlaLOJg5OeilmYn5KcFDmXHW0Lkfd4Z5MH3sZwj6sm/nmhk/OxPc5RiRoYVGfnGdCnVwnwOC2It0S6aR+bpOlW9Glh13YZA3164I8FzqBz/zGEl0QaZN7A7aAOdIAR6VJOWZV+T7L/VA51qaK/+t9zmFURGo9Xcx9p/kDb5dWkuzC9HOpBvndM7/Iq18EYLqu8JvQ7BhngGOe9FwiHasqenFvz3BQB2B7GvRyKeEhH/YHLHui+vHL7TMgZyzr6oIez7n3irwUW4ie8WaO1AXCXvDhGuAb+jdT072GeF/6nyWcnOTo5YOP9bziwJp7N8uNdWd7gfeJph9OjJz761ObY9hN8vLHtWEDLWDB8xQYb9Yx6OGu0hw9wfid9S98a5w12aujrkwNVKO+76eGE8Xf7/+9IP47Yf2LCBW6RZ0FnkjskPe+kiHFdnqcIq3NDRaBMwtNAsLgB8iW1vYcmRofnfi5hG6FOXygt2flkh2iEB+adXbOTxNbOZ79TUDNf3Mlow914DCfsjuydFbrbYRnXx53aYaCB4QA7vfiEbtsFJsSMFKqPMauhOddiJWqfEgpM6cNu/xRELjYAiKx71rwqFNjTLhiGHU/JtF1uUundRPRT1p2r6DRUgEWBEMRh0Kow3lkmDTNoTzEfChrpApMVMQcJnFrh+KbTac0IdkXdZHaQsPBxwQrlIpWxxZMrGx94akmpKHzj07xFETs5Ok0a7Xp/wom887hjKebWLlMUTsk8oWwj7icYCAfxT2e817kD/aN+ieQcx8WNedPG/vZlOVZYv586B2dEOJqJ9hOfunYguvF1a9Isnpjd6lAx8B2egY5VcmzYwC7dQuUL5YEky2kLk9gWbDTw59Iu1u1tfsHiWfTNMq+IXF8addhlm7605HH4lfs29XPjV782f7r3jmbJsmX8D3MaTwSfeSCU4XlGf4PVjTynR5koIauQRv0eKWSXPn547674mKXMKAtd5c4l6uAkOg5OQ2Th+L7lk+FOTwF+QidSA0aiqTgxQY3yHPBxHkMVIx3BoLcxlWx7lBkiDS+Pi9lMC/G+R9so+DERPBGJzl18nhY6uB9epwx9jfFEx4I70Vtf6O4cPhFLODye1pzml2afS3+5DBjS9WqF2mYLUTycEs6NDtBv5It3tldANZiKft/uMJ4Ffk6OO9q0cVqkMOy/RxgAPCrkyz7WccK+GUVnCVnt+XY7Pw7ZvzkBD59kbmTjRS2M0HHacMmvnk6k+rU2hUlQ+yYyhb1tUYwm3rO/P4ZZpvoY9nJH3SbsYt+9Wli2Q7un5Lw2+NZ2tIEOiE5aVGkbn7bDt1Joz8G2qQfuBtOh7uibAGzQB+dvqgXHD4cC31qgfUfGlVcmolctxBFH0gFrVT/2WjC6hK3NoUXnjH5rucIz8mxdO/rg/00w89jhWDk4uPm0jCXBA2mcA2+SpfNf1/tLKmNd2x+vvDCQIw4D6AMGsI4JdKiid3IRhVeIU5b7AD/r5cVmExgb2rTCekKxH76gY5Kwc3Jdol2ZxScXvezeqJub+aTa6CJF1/a6TGGqq8SmWodbVUUuC9qLv4qNQx+YIGAulCtUvC8me0PvrvwwB9AJwHR+ajLaQHpk/mSSBzdM871apwsB/GvCoDjnTI48KWy5O/se/SsZ11zxCGwtTDD02+h5bPsVPCi/cdP/0BcsE+8mPj0MSsipCRaSa82uOhzQ6Zt9N15oMwW322B1HRY2OMaqwYkv8pxX+M35JFnL9D2juk1MlRLw0wxJXcdq0kN4HZKdoq2eE9s9RM4o16Do4QoR4CEM18mZODohccP2g3jICmumUX+JvDLmLXAxLxLKg4ecAIZpvZTLTuNSAUp8n+CLyFUxljk2fPBqtGMPsH33FO5Yztvkbg24nGAUkVxzCAacMJV6QG9lPH3bqftvSD+O2H9iGhTGnHBVKUqlx+T20yI25H1oqzlQuRwxJUy8YF5sa94ttetvRrRJKq6+UwgZjdX6XJB7uOESQriBvl98DYKP8BzlG+cYlFvLvpXQwo5DF5AejoGdxhvveBffjaFkhJUIrWUB77oX5Fzw3aSMrJCyqYC54KyKi0pbXJyUsx0GFk9QxY55EKJR761rbIGGs42BcdLdgLEr707hhqdhTAc6Q9hNu0NWHE7QSqAtXyxUERE3YjCvyXIqX4CTS+MeTA/hOyps3paBMrSVpTtOYi9adcfcVAcbO2gQ48J3Sa4k03wuO7F2HlURG5yqEidjLJxQEf7WoO9ePypXg3LjY1hC5CJ9/wlwB75XmfsPqHPXizgVE5GP2ubEERve6Ft5PygQqfjshM5lq+PEBl4Y/vvEqW2+ttpOZURNqqPI62RFxyTCc4sr8H/u8fy1wInTrdAdhXGQS9ZGhq/VeXZ2x/h9zf0qiL5g3A6bbfzELRrQXu+1y3x9LPgXXJL8H+hKPyWcbPbhaNo4dCXN6dNE1DTwJRs/opaLBWik7r/NOP2ygNHzXJ9oqGT+2JGMc0Hg29cOD8YhSKPdnI/Hk5R4ogGM7XIKymUGEG062UB3CH6R8hYXMoJX4dxQqMf7vvt7f2jrhwjxfD/Jiqx696U8F+QRnggnnT+ZRAhCgzwgn8p8NinwhKEQuAN8iQkv+MaiBoIKbSOtlIVe6u9o+GuiGN+zAV4+30ObQx4RCXrUL0vajcWEjQc6kYq4zDC7VdZi2yXsXtAPwG84FlnPNNYiKzpARD/Bb0pw+SfHF0WiqAjR5I9GvM+2zrVPG64+qegn07n/7YZwhnPculXpdB3P4rwslcxjPo5v8O2FGHRcx+JnkdlwL+0U3UOk065ldBb/dvupZ9PtjNv8U0XkF+DeefMUSeYnnZMdfkN6csJmphf1DjQVRV84YU9t8EndGuml8o/Hu8tR7/RnosvvpBJdZ8N21AffqY82oM1XK+w+irY2YiPwQxvvhJg73/NW5WA+VCEWjhNxvqFhDy4YvCsgK9nGnNp5Sk96gL93e5hRgDSz8St+36NvOHO5fsvaDCKajpjbea4kjUVlyKwlZRvpi0UngnfogEVHulSUZyq46ydZ+XRp2ezN+KKT6+UUqEGfD7qVr2W0Pu66ywL7NM4P87GMscE/hh/hO8i75jhlGE7wISxYiKO4gexsOptVGLIQ9MHhmHSb0JE2P2RaRhyLlG+rHPRNJZyKYXdf4nvRI4UTlnmnQjnCiZqI4R2qW1da80erc7LoF/AO+hO0h4nGOfRZzIPzb3dm2iRuB6Wp2KPYplT4prm8Fieyn83JOdH7AZfxjWUA6vBP9YrUtSLIHDpv9MeJZen0fHo2+s7vHEaB+gZnbDs0Q3kyEpFn6H0xsA27jSgPMi3LBE+vU+Q5sa7SZMD7ZVE+iBA90rvg22zPyLns9I1lEDthj/XAhq22Toa2gQDtiAiuMZ8StxObf53HTLoHwtQqhPk9zJmWAP7xOpoBn80hSH1pdvdIwzR3vf0X8ivgw3JTvhCHVuBpdhrOea+vbaKqG7KZx7zS22IdheAPXO53zMtGR/GwcbDhEfr93+CA9fTjiP2HJvuQXCB+Z2etC9WdjsbwZAhgHRNDerPNeE3hicrCJCt1CJf/xF1TIJCmtnEH8TvwclsNDnynMtydl+WfdlpHVoDR9q7D027qUZEKRdAV8G0mDQIU4eY6j4zpOwKLy0kqT/6iLKpS/ZPiUao8CC0REb1U5MvCSRGLp6yAO8jcX6Rt3Qr4gxISCwxufPNiCYZ+lFW33hqoaIY1C2gDtBXhlN+xL/5KafdkS6jMs4EwnUwNoQ3vXAliRfNEJy78oV103p3GuywyTHQ8JYDtNPYN3rc07VoGjW5WWjlvwR3ON8fLXXFTqoA+GNfhc8r5rL8HQxZD0MoXvDPZ462wYLBDSAM8k/JuN8BsQ4g2ouOSKI/jIBzMNA+KwwvrYPiiPwO88QD/4HtUNI2B41Ehn/ffjWmGC8aj0AbOPSiDDpvgK9yPG4wQEsFtAYHxN7Urm98hzRSm0ut6mQh/fLd5vMP6p7EAhTnLLdk2bc75dnKwBl0j2oF3YxWM062HtXk81XHiF/5OK02EgeGEQQRyNCicDg/tj8YMJpLHuHv0kWcTDpAuj4tmE9H7p0daoTYP5XlczvD3D68MZy8X1xnYM36CH2/YET43QMcd1CJNZym6E41n2SAz8PG3EvHLaSNAK9J4nHfuoSCOS7FTsJ7OV/+bjOl/SmpRT/Abn74SmXkZlX/LvjolW7qMqZ711im5no7to+x5x26ZwD69x/ROdyd7BZ2QxPMeHa9Dfb8TuvBbpxewXeJTY4IFy9iUsUco2R2c3vGNW5jQSaObHif+C3pdcRI4HGOniA9NOhEYHePJTW94bzArvNpx5OCjbLsJvoFfQ7e7fkv2zFHPGHSaVQ/NE2qwzZeTvhgPlOcFWfG1VElTix5c32F+zvo/4pTtjmm+tc3t0nHOKdcOgBc+6XOAi+MaCsF3klvTukTR+7jOKFf14nT4WvZ7aMs3NotUvhO0hm1v+Wsi6ahlwAadr3TnzumH9oxvblUG1KcjbQ4a9RDGCTqXoR9KcAQszBdAD8d5h3ow9zVgw3raWH1D/8JkCQ/+nfhyOz0rZxk96QPa2gIdVHhtK+kt4JReZxaQ3DR+mk+Sefy6l/jtdYybh+bfPGb+bkrN4XPoBuYdx5PkVgnRTzQSB1cIIW1cTzgtvP4F/iXH9t3UHImDvH3LTvrdBKdIER7/XRyKIE+OsHA9w5pDzuvO37hthrU194Br15WOefepY+Uyr+BAeN+QefXFc/5T2Zc64l7LGNf4Qhc5tKGJq7bW9TCXX65Z/BekH0fsPzD5DhhTycXgQTGbDAn/VpQEdASKpLEBdWH5eI+GIzU17cAseVmRYsFqAKfK8cRveecTLk4u5mnYphQV5kFhqg5KbmnvS/fJKs02TeopXIYTHCHH+4AcR9b7Wk4lAWPSG08W2LaHfaduFSyNUe5646SYSix4ozJeGKCHoyAhJmZpSEvCt/q0y+5K86QuKCGXZVuylPN1whbhtejL6u9q38TWHXKorG3nRcgiDyeGiuW1xuv6M2nIdJ+SpTG6f2ko5yYmF5y+9BOGsSCKIO93159uBewPl6bzCe9N8jaBVm07fHMVt897XMzNeZPjhMr1at/xQuUwuTJ+wRQqQlHqCc8h4eJq0oPThIUTmo0t3HGZY1i/JQ0mfQveh9qU4V2G++z09CF1N6/U8tE24npIHCpn6hefGC18AcZKBeC2PAVaT72L6IeJmSYur3Uq2FTWaVDZp4QdNx4iN/qn8cI2juzDec6G5zNDFTfeCv2cHFWCY+yv4fnrfzYv+1OizWJ8YTlqszizPW1DHPPGKdkNp9Ovhwv28Y/vIoX/qC34rtjFXcfG3zlPRblzfQGcwJeSDvYpcpB3zqfKKVXngY7TXV+bx2BsXEOIcp5vjQeynoByG+U6jEGcLp0SKtmDgeC83j62PNiZCn59NzbIJMeTI+VkVFSZQfDs77b5XOOVY30gj/EbKv9UBo1trD90OWwTdp2HrPd+E00H3U38e9eFOMA6a/4tk/0R4fKxEcnQsFCXpxWiUcs8ig1nMe5ZuPWJQaIFwrLo4BtNJj0KaK2M8z6h3OSYPOAP+TjnC7Hup+XrZroYN8kdyAbtcv+D37P+ZyKmJkdHg854NOQn/v2GOTQkUxH5EDEQvuN8YxBu67IZ+vDKwNcvCz2nREixFUmgLa5dLu9eVPyTxvTuxloMF3x0utKcaHpPI8z620P+4kIsOix5jrdoSwK8eKDrdvet9Xx83+202JuRSJKnLSdyx0uLBqRefohEwZtUMRW6p7nsQ1j4JDm+RIrOkXVJ5SfO+2me6S6P9uPojJDsa9k8hfWGESCNry7dG/QOjz7CSYF2v6Txsrb4duJXlcWW+ssj0oTb51u/9HDsISOv3HAbZVHP0WXzlMheNKQIX5N/XrfLfsy7K9HN4xe8m16fnPCkD+WGl46gptsQvJhn/fbIKwb0D6noQfnNQ48fN/8c6KIhUQYcoP408YrAg8VzsVEfyjS+x3rnADfqNaPDAekH57b070GbHm0tos+QvurOSOAjaF+r7Om3v19fsKbk89vltA7XHzi/wb5hfzacfh1MOwnreU56g8J3bBb5Etnqhjhm/kP6bDoLcYPlHM0o9TOpjmaAqaw1FJrfYND70lXAA8oJtcOlX4iXQc6Vug/rSO16COD/7OhS4hVxXZvbkRtX7EjFtea2RiyQB8Zj4pu9U4AKimRUsiE7wG+asDJPTPhlYNhVRpY2Yy6l/MtIBOs7rwMGcEO9GGWp9ftpThBfmuitrROXedtPph4dcL+xQa+MEdj77Rs/e7/2bwW6Ql2k2NFOcyHTfGxy3fnU9ghD+9g31bZyfJpY8neRo3BlC9eVhc4w4riXdfNhTox9ejWWh5O7T45qn5vzjfa1nmoPHmB5wskoQ54G738v/Thi/4Ep73yoCz417CA865AnXtRvj3frHJTISDQBR9iHkBRP+aPehzxFeR93oxyA1izLoXpO+YvM285Lh7GcbiWD/rHaWw5SjBLiYVB6HxcLX1V9MCyeFuvGFMpxD5uVzlwLWNuiAuEYhdUrQdAWFVqGuTOTcYYKbyryq3wMgyuo8dtypzSOA3StGky2LJ1Lys5UafkILe+O66RA+JC8o8gyq0AD5JupKTME00tlkGj/SYkcYR7qRrh+J71d1g6//Rn/ncqNihH8PH1HGhUJY3RaOEO6VRnyQR2T4Wb0jN8fT/k/8ZgTjoEenhVhbyh/81yqzi/Ix7R3U37ALRqobVGF25jgM3DS7Gcsj4nxXRYamIcowIARIh5kU5GJk5F3KkcbusZEY9Z4Im4GGMoc5xwZVO+mVp+35d/e0E0ew2A+lGM6c2f8enjQw7ieF4bgW+CwnP032CdIn20xQOQoB1B2nGjgSBv6wOu10stbKthJL34zfzOGT/UM4/aKtgMHrKeaNF7xdvoGHSD/OxryZdPCa2BwYXO9qHD9Ffn9/2RSKRGJeKG0ZZ829D7UPdqA79LQky46vT7JsBf5T6F+RZ/lokjaCsUZ+wE2BMEwbsj1OnCzHsr5F/iKMfm7ad95x4FnsY54BlDKpGXH3atuljvvTna0Ae1CG+PpnMNp2eakpagTh9vt9tyxdLjiGox3EOqOfA5n6I1ZP+ImWmS9nMfbuADBiTBohh1+2kiBbbeN4A/0Nun8KXetwk7zYD1w+aHMu3wE+lFggHeoa3O1TwvuZ/1T+vjA2J3s1ZPOcsxjQpurreYbcPbqbl1ss+gKSKsGaqHjzTPeEnMn7Reon2Hy8Z8iMxCT+B0bG+0xpFt0ar9yrhSQyjSAwSQdS0wFgrAWxdO/RzmAAe1JfsebYdUGnAw6l1KZwreZEU+4HpywaOuub5Y4AVhWE9beBWzbDsU8HCVRRIreMYY4jwr7K5E+tt+1DY+J7IZJ314NSsjTx2sSCoxnINuazYGnHN/9G1OxXV8lkNmjw5ryviN3Tnl848jxoobhhCZvEv7LiW36N/J3W1Xz7wHPxzXAd/J5MyYyXmzxYgPuU32vUtvcR33kDXav1oBOcJ42Ef43pB9H7D8w6afJx7/ucZK1U6pFODsD1P5+EqAi8T52KpuUXYKc72RlodBeJ4AGLXgrHv2uzjPs3CYaqEWJIcE5hZw5OqFd6KmUnZXlJKVUZWGdDKi4jBOZDgbu9mYlhHeOmcUJNvl1XhxhRpY6o+Wp1ML0JHba+Bgb4YCFFDNCDFViuk5f6aeIfHjnqhJoH46H3a844bdxu+8+NZVwbLLArbserfQ7Tpgh/vn+WdgVGvW60cyO2TC0D/fJWo5f3GWsUsbaHM+gtK3TdBZ5693HW3Ds00j3R8IZdIAKtdOnn/g7CJx6Kon+Ohx+bycq4Y4DPzWNBgEbT/u3qax7O2+J0+BBC25kAA4bP7uWn5oVUIdHDXAMbZfsSHetfWBBbKRAZW1Xrdb6HhMZMqWNXV6/1mlJs7y/WT+zf21DBM8F4PXRDtQdp92vVe8Hnk4GfDSe/SWin3v+/gJFhg2C/ffy0+Ef2bbj7/rX7ovX4/Nl00bQnJ+0RTwxXUzKO/CYeIX1ENx+mpSTfq3TsZNRG/VDv4oRjaeENx9VeN9oYOqX5fzxd22eEVx87yu+83txOWQ5yqLxbt49jrcmE0NezfniBKR23Hn76eCFLoM4j3UKnvP4bhtOI18rL6BPiOsHfAbtenked1/QxDkKiwqT3hLdgLtHG337CWrk41L7ybuzoxmkP5LTK4PWZyzrJ5i37MS5VOStAl+iu1wV6sb7O4NnSX5TkJMCY41lFd8plfmQOH2RPA5OaQwyBDdnxd0wEN2h3XeFp8olfxvgxR3CyWiQoFdBl9cxH++qI/m8SDmifYyg3vtXwtIW4wanh4iUe3svHwfNeoLXcFnHKYfTNJOmV3p9w4n7ESaOcEJ5mBeIqnz9kWVT/u4TiDd14ied06WpYxYerJsW6F7BwynjOP054R147eN9k4O+Ue4tnGhkOAGbfIQIKAol3/bvKANHXQbkQOgpNDfxVFo5kXu6z9V5pHX8fyuhzNcBx/DuGLFBqH2Du04FZS3XW8sFD8OqkK+7DiQg9+EEV8qULpMrLVTeEiFHbee7UDmGug4OWOazuHBeHJ4moiEI850LA71X1CRtMFP9cRJUUg/YbalWfqjD+N0eIQT1A9BrHEVNd6ROpn0/bDr3bpJ8b31HfIkUO5HzhwNIKuxeAS/Co56F0ZAir487wYN1lHb1kJVo2OC3iMwRXTauiw8OKz/NaaanAvAhP3zH4nWuEQ4PsjfsXNDtoqktT++PRJR+bRp0u3NvEvcuLpyuGW1+ugxs1OgjIb6ctC2bU5IHpy6RcE80F8W0vkcdTv2ZNkmUE8AbvkLDzrdovsd83RHUlIBOnX7hsqyzwdqNbHu3hA5Gnc5/u+5mibPrk+QQlvFISgN/dp1L4eRlsRemTb8tT21zWjN2u5hpOOqDZ4wOGFk3njAqxkKxwm+pSaWelIP+4HvH76Nz9jSH9jfnJ2XNwaMjYB2AO5tkdGmf+nolzpMe6FDLfsfzg/mfw5hIyD5X++G9/q+/Z8co2gR9nFI2LhsMnm+ASeu3AoJmPeGDYKBxbMrYdqBHPWFVmnUxnshOQ3tkqusdxx/OyZMNOM3bVrfqwBMt3nsdhYaxn5aPeCL4LQfysMGtyEjs6/DcdHGe8zhHoA20nyfex3ebu/z6b0un20h+0n9zcqXUpEygmMjf3LUQZV98G0+ynmg6mIQWQbQEiJX2+B7XyDOlk7L77tyaBNMQWnkqNzmwTwtQLWznUzqVn2De+duOUSGB8NhepZHHcp53Go+DkhxgH8IFmiv67nz0byf6+o5AcHhehKpDRT4W+FsmKUqyj7VvJGj/7vxX5qYrxFjfXpBH500rK7VMqYvCnp7G4KnvjzQPeYqCN+DnhLfV1hAq1JsA3L7TPpeNtg7wnBwu304nOtfEJf7jss3Ykp6PaaYtbkwwoTLic4nwwfXEgsadysqI/4HWmmHMY2CVLtGY9Xaag/PQDsM90tAbMgv7Em3Cd+4/zsnAz5f0ufqEjwmWB1if5m5drHrS5j0/yM7Nq6p+AP9O1bGMDH6t40Izh8pfixHalOOV1+tVQSPjyVCZ0smZMy04xfPEv8a6ByNgwEk8Au7HdhneYU4WPi8y4mZ0wgqVezdh/jfoqtyfdeK5A5xHuKY5odUZIKQ3PiZcZIp3HZ5qgGrAOC30fSc1GQn0Xxb1WsGE4zQOjaYHZ+hZxtqM6wd0NgOc4DrJi6Msp3K80DS2Dc81VF2H5y0d+ye9nwZaabr8yH/1+O2tdr6RRn4w6olW/nae81Afp5McJ/3hrXpkkOeTTs689vTtjcTz8yhPDvnHBKdbTjyIee60mP7YxLBYXcqRjP4u757SK/si6Mo3mVrqXmjXNLsPZf19eI9rJO1b/dt0/EnXO6WiP9Q2X+JFDnh+stWeYPhGMh73Q71Fr7fDmA7pKd9k3x2/PSWQga90D4ad6eUdHCqNNcMReQ50Na9DqOiteyOh5N8BroJTMJbfGZOCnzf7m32d34/1HuAYbWiAv/ZtGBcf0LuOXdODhjk8rrkQXMwfKkwGMNHdmU9rxQNujuuyPCYvxnSMHjHZWdzMwebD38X+9Lr/xvSWjJvSN2zcx3w8f6XS0fT7vykd14q/+R6//47tdszzCme/41t5SuNmxb9WZdPFThvSSqOYH9+/QCbONWif63x0zv+F9LbM/S+cC5h+TsT+E5MLLCYulXIXVAtFY3IWTLTAymXVrN7/ObVZlIQ3QlptAX59MicFWHc/cIfyk9FcHXsVLg6F005gHWCMOOYY1tFRuo1EPJl37ROdExzTiaKl1GaB6K9/g1OWpSg4EfI+i4qbsovIP/FpTlQIHY7h9NICYQdUQmWL18UuFftDUvl4WojUffdqlF0bnNdu44WHZeiuwvaho+DNHUO68MW75LxPjlPLOkW17cKbF4rh5+kEs3/n+aIi8mV0Es/ijpV6mGqfujUN2tBt+GCfx/lMRkbACXRSYD0IYNyNWdqEvO2Uq9eHyqDPBewfGA2jQ1hrvliMRTCxD9CeQd+xDjEie60G1nQPIZ9cKwvqhGdO7Q4yJf3GWUS0rwV35QRc8Ij6LZxszkfvxDU6ZmMTHxppKmIQDlt3vYEiA/wArYXDgRyrvugktoeGaIV5Zynv9WKbiKMB/35q1fme3nkiNxzkV4UrxurKuvheVR77kA9aT6Vj3wLeW0Q/692LZdFw1xW0F/2xuHM2cH9D/QKya5Ar470ynJcWM6Mc56Hy+mWrHOxYdKesw8BzJ3apbiX9/jCRD2QAZ72gOuI8f/6NOyEBxyx/o64LvpmIXA8854QDwMXqHwycSjk9gXf9sGPO73PCuYDfRUTsQ1NkkMzMuzPznvOy2LK/Zd+1fD9tilqwQUQJ6nPwVNJByokVGDNF2kW54N+H9k9wRRkFXnZXOGZ9Z5ABw2+/J7V849PKTvYsvwhO1CdiDmjXVQqcvPN76yFRF9THC5ZtIV5EphOM7bSAAmEO/cB6kv/nvUoxv4i+kYdn45SHyyG/czjghLOfJDvp54WeDnj+SS8SyZfj9TQv8PvOFS+v7qMtbZuMJ19Le8wrSwaq71APwx9l8SQVbnpVyM/64AEObCP4Jp+6c1lind7LdT40x6Y+toXaiGClgrza6xYRiXtO764neD8a757GEU+MWM3fnHhOM7vyUR9XKGBVhkZEAdFdntqdZDkvSsLJjyKz8eSPDjpO8F6LMeOTPGWsr32ljfNWBwdO0gU/I/knkqfjAmy0V8/q1Koz9HxntNhPaTRVdP027+BBITuW8Wf/CPnRnplgPzkZuDzaAmX9ghPLq/uc93QXb9mMh3IO2nYdgem8zlV4fkdekQ4Y+hi2TfykrcsATKiX+d2c6nxyIzRsqI0PjKgkwvTk9Fo3wS36tMgfsIts523FHdPIZIfFZ88L9mPofMNmobZmYdLnO5fz9httJvs4rhFAf6oDV+X6zDKlXNmML7lJ39v4ynEq+PL8JqEr8cl/tF/XPwgkTPgImLHPw0GToB2yUREP8fskF7XOt1E2GTwfvnk/BctPsPgrrJPgyfroGz9PeZnWBGgT2s51jiq32S5FthWRNzhaAc4T6FfjPwMde954pjKPPFX6mDAdtX5huaGusOkZToDf7app/fedd9zvkmeg4cLTrJcvvx/k1rNjPc/XFzvPy23abmN0qPc0XtheLQDB1BkfNOfeql918X4c9ykaCfskQN+qOobOdDH0a/HsLJxrjr3PDZ7/cPpxxP6TEwq6JgQ0v5cPW5Dy65MBjRMTlQGk5XACpnAer14+0bwLdFhMTSVLxRdgRUSuz/tRiY3wWppwtVNBpAQcYUOmyKdmAe8cbrgITPhenMiWfYpx2vkx7JWXK+2EcHCGp+ez7RiuwBUWOQgHX7BlpQIZ8i3izlhU2ks1ofSRsCd6DMbLBtAeb9uhCDkMWhgDQ3tFAEhVBIoRaOAwMVuLoi8UlsDFoEhNqYQG8y4wnd3rpdKmgbXQkBII6WrRYtJOcdaxEjYoVGP4tAK3pGIwLLh7HlcO3IHXnLGT8oLw2FAOnmPxYYfVRQOJQ2KV+lj5BKea168ID8MtEgbMWjAfcERsqCm34Ihti0pUppQLvjeU8VAbl7T5FGPleTT5vIkm7iz7pbv+Zsji2O12Lqm4CAMPHPtoYJc5Cf1AB2eMLfPViRcz7r42LBv+65YVsvvKf3vtrtDqSV62E+ZuCIMhGzg4THuFcrHQijLC+ftYDniF40GqvHA4Y5PKsBkh63xx3/uE5wnHIrFAHHlcdrGcINUgF3RAlvE8EZVRGWbZscs4bU2yA51FGCa53DkHegHC/E7KRSDnw1rkAcu8WjZDMJ1SwIblxOtfY39/LASw429lW/I9FivhGzvRmB+faLqUVQgnOcCOfV1Va+XvAv2b8H4wimLueDmSQ6V9WNw/GeJeT8hUTRpF/Sfo6VnMfzsFjyeH+nHcHK4N93qfhaJbLP8lsrTfZY42B7wFvXmTSIfTQkap94D3RnNS60MYeYFpnFdaNwW+XCT4Sc22KOlvovW4SuVJRz609e6dtBgmfl5I/w5jr+WKM3io5+07c4t+p+1dyQd60vFeVIS3zCFsKOsqm6lRXxzx3uVtu9OZ8p/h0+PC7LcToG3VCffCot7pmXaZ+Fl4/qRnnIEsctW0vFu/repRA69Wswi7h8OGfC2MFufFqO+IZEjeXWcJh+n6DunZqIuFPDH4DXkKTSCKnsZvkAFjNugL29E5pr0cyoACixJdv6Cxqf5JLxgX54c0O4KkwMGwt7x/Q0JbDukd4YkF7Kas9WekiSBHoJliExL/CXsadfbbNxbgJq50KBR7LDrVYTs5zkrfhnKlTuoz87pW9GmMqB6GfxxrxC1EVmJH2ORsOb13mzbsgOAvlnWKdFoe4Hcdvc23CR6qA2Xkd+5vxe/TlTVTQh2/haQV6IPW/Gwz4rsTTO8mXq8pfL0AJ50+HiuWRzrs42ohd/H5u218W4eGsXu0t76TGHYYU5Zdx0MlrxJuGJtAQLvIrPfvRfmAEWGC6CGlHoF5jO1TuX9beurnb6ajTXcCwXlNmzdE10/lZeYRJxny35R+HLH/wDTek4q7niIjGAtcXlKA8u/yDpg1G3xlt71JcTRObTBsvWPZh5Bne+GgnJotFk3vFy/6T8YFnyJCY7XdsSNaDWPs++73uvtwA2bVqR0nBwHG8TJ7bBt2IZ6EeumvnbLmxdt42qIJlf13vB/FJBev3YAS7bseSbEsVZCS9GQ84m7n8oz1sRPCsPy8UC03LEKRMheK8WBQBSM3EQwhq2qZ/wsKstGw2znhVnSf4nXhrrruDCXjpij0YvsC1Wxv1A0mxR53BaNiMwiqpsDCTs02BoVXSFlsjvIwVmr1+ygovX2YQ9EH5BdokB2U4VP9BS4hvE9lqI9T3b6IwovgaHS1hQlWNgGWOE0pIkrOjGJM0n0967eFYTzBXngi0IGpiADNqslyduJ4fkns2I267913hGXDyye0G94BHyVhHfjb+QTQtPkuYV3frz+hvypxx3JxssO4FD4kiUf+3sI64y5mmmMc8ri3pfJk1LYoDCJ9h6zjzaj8YW5rUfwpv9flf0l+4d2iWQ4JQ/s8MmknDteYa+lDU8pxXvB8G57H6ATYH+hjcyTFIq8SWlNa1Kgj3rflFCinpss8XhOB3zc5BfA0XsH3l4IB5c+I81nW7z988hN4yDgniTf9/+y9bchu3VYXPua69jn5knpQOoknLP8ZiCmhwcFjx0NaWkShlIkk+UlCBT+EYi+GL5VhkiFEoVF9kfpQJFJCWRwwM82kQEqokxyEzMijkm+VnX2v+f+w5hjzN35jjLnWde/9PM9+9J6w932tteYcc8w5xxyv8yXMa+rP4/cBtOsdZNR2TMwPW5f6eoHk9UY7uwwvEbEANdxBr7TUx05tq5t3PmU6jfVJi/2MpKa7rXjHCPQb1mW7jvUb0LbteDGdFvCuDHhMzY/ZwW/0IXao441JYrmX0ZjL2+e8VJ4qDQL7g0f2DXei1fXPumYw9lU2tF+JtPdDRvFdcyJ+bgKvrwKaqX2XJAtEiYjdTYm8mm2tReB2LvTq/p3iXyKxRNHl4yA122tu5w7ZKe6d1su0rPzhQY6jfzI0cFEYJ9A9tD4sV91RKzLGYrW7Iuwe5oms7xd5EF76oee/hwqw7RPHoFPriRZ2Z+oYE10o1uHuRh0j1MNQXiZ4oxM7dfyhmpLy8IE736P+MB6SPkad5lAj/PwQkblIGGRstwVEY54iP0Zaa+J4dEO4SR6XmEZY/8DfzdcddAmU7cUuR7RPzM/gdCjx85/6xOVzNEp1ET5TT4DXnAcbha+0Lq6Df3PZBU8K85Pbhnh36ifu26Ru7G/cRBHyqK22Hb/dOCFdaXGcVuN3vzX3ztk9ndpKOsqhE413am/A+KlvxhYmYNu5f4n/Or9Jxgu1DTh+i3HmfsfvMzgNvF1hN/F2oSEhYUzSpIvmukT6dfmgC1z7hocQZATWn56kQ8Gv6VOD76xDgNzq0uapSsA3Ag+CscYAi/1N9N404KP6ZzLnoq044aS6bZVUlwm776AugoeLvlJ9usGYEj30Nmye7vGL/QS4FHwg4y8oC9My7uWAAWMSgl/ZouHx3Yo7+icev+KfHJhXPLrPmwVTLViXNIvzc3C0/HY1of2IcK7u2LyyIJB2nqL8K4PLwJfNttqag5HOpQyezDL59X/xXYDf49hynty3O+aWMR8lhCsT+vVNT4HYN2myy42biB5deji9xBu3Q5iWQQURz+SMERfEChOZnXp6pEbXXUmkZIkAbgLCmSdeUHj6PIJli+X5eGBekWqoI2PQgBoe4TlwN2NalZFNlZWp7Zjj3C4NbwFv7Ev9rrBNeVkJmEIRwrwcLJx9AvDUGaIkA4xWRGlGHH58hE+XmccU7+z4X5nM+wAwmR8KGet/7UsRd/whK0jBYTPag0YvOqx7lxn00flxG4oSKXMNBA7fYcQO5ymkDjjh+AOkASzXFFjoLBHpskk7jPCjkUc9Az4eO4QOerWsnTGsTi+uBwUvKXBK6/0W+93BgjI2TxSewsG2g5JtONtROhE3SeqxZ959Cbv1cPdb2yUEFLkf0gTOs3aSNzXms/6G96hobw+zSAjkosIk4pwfbvUz90/3Y+KcgQ3Ghvgx/rZjqLSfbyL7s6PM9iAi+3EksC4SsaOrdMe+Bm3RqCR+pm3fb/Ct6EsXwJPZ7/ZX5HAqIw8EWLdB1xqI3W9yHE8L7dyf+TqVdownghwLu3lJvrj3D9DvA64eWT+PoepunN3xc4mjPOzey465T/rc/dUsZKi4HUYP8Dz0CRfobCL95vnkQXOe99jx2nhiBtG1c1IQrpzXdYfKqxbfO1LqhA/RkuUzACBD3E7Mw8GqfRTm9YDfx3zRYH9EnNqKuMCCiYbfRCSTS9anRd9URvhhxPfDyaUOkUAfMoPtIoEfY9uj7uGdL5rX6SmMM6BrDlcONmRySOHaAqlmeTNHvojysC77rTn+6vSTEay1UzkeYK4ifOSpSV/IJoI7lTOD1OQwzDvl83r6BfaBHiUd+pT1Dpnv+djMvjURbVfiwOyjTG/Ep4y2qHNB99fgNh9DZePh+N7o73GkO+7+WhnXIZhSyfWnNFOfxz27tOi75dG+ju6TnayVDnZSZ41MlFuIR2rr3VtPkd94WvPyCAOvTt6JOB2M9daUv2lbetGfGbor+5DyHQvLrsFNYRD/M10UUuoIL+BU+VdHSlswponI3hy/xBOEzD53SCssD3vqID3Fr0wsExvQIOgXB9wh1LdMYBNuQY8bvA74aUO8ZR6vLKqXKX01sd2KgvS2kBX2k/sBdJ30u8Mpgc3t5SEmvWJlf82gbFJuUdbhgLKbn+GdBrnKlNWFcjmTx4u2sc6etg/rESANnqNZ/frOnWY055HSDgbGNTDblZ5EbJGuY/OkV3N70V/AbQ50CTSMJ2C58cj62c0neKdjeUIbma7rAp1JfwZ7AtqpQWQ8MSr3KZ3gwinwTd+2AFPbYt/7oJ8e81QLnE7k+fTFtDnuw3Zy817lB8pT5ssCy6JIh1RfXZYC/6j6sMU8Z7zH8lI/77pYBt6jz/KSzHVlz+XopJuMcBbVVHwJQa/q1/aTX4D51ape6/ZBA8h6z8p7Pt/mX7IJMtEfgQ66CpNp0lt5ahcAR3l8mtgeEnG4B7+Kzut0pw3Niep9zzsjD57OvI3ynNFkSjeLAOwpjStaJvO7f1fFIHQu9jF+4vuD/QdvdHoKxL6Zk84ZUoI1qfGYKqhaNkyaRX0oSC/kLY+OIYU3FX4k7E6TKm0LvIJApH4JwWp+zvBinMf3efI71C3tsuEsQu3JcEnwYhrAAExg2MTwO+ajvJkCHXFATbQWTC6ga7Q0y+IiA3vWvtSdp0bzcOykAaAKt3asIEY8gQ5Cn2X00+fOYgzexkmX1F/Rtc6RfdyFiwrSdtSj90ppcK2JRMd0A9CwotwpdtquTGFCBWkYYCqPw84pbiMKNW52n3ldEE1IAHaHVgiopYl4SDBwCCGk7wAn+4vpguKaOhcSvsxjUIJjHrtQTt18ZZ6hv3UsEc8mFnjDfJZG4FV/p8ZiYsw4/MXzDq8cAq0pT4Cx590mvJoYnQIuiCnQtky+QX9Y21Fx63KsAM/kiaPpXstPGPt5JHa9w+iMHlZ58eQGrNtnSsoCDxWRaUTfBqwm0znj6hN3AkdYTFDIx4yvXlaCVSRcyN+JjuYHyiMzzxUjSgNT/UZt7f53WDAwaGWJexNxhu2S13jtIpVfxG+ZF/XWRG51JZVxh7AUT+yLOa+9/mPlEpGp38rAItQVipk8ibuh0HmGshoDrgbatakbvRmcRP/KHLSXjXGH+3ixySUAp1kyGkqNYRFbxaLPNGc4ALt0ZCZ95D4T73E6gPZ3IjNnGda1enz3lNYJnO3xm6Tjx1dsZOnqccKhjOmu948jyl939C+TCS1yyoEV75zMODJhANXpHbu4wGwJl3Dj+ZqdIrW0G2EO4UlKLjCdBDlyWIpERJx19hKdQv4fQxN3sBvcJnMh6WI3PsJGuuvKP9ssPxd8LHDWcQan7IrPpYHaQs9wqftxDG1sYn4CrsdXCnKOd9Uw4n0uflyOy5ltn/SpFaZqWf9xYEC+26eVXIU5iPDQvq0ClAg7Opxz+Jn/hOVUyA+4sJ3r6oK5U7KFpM8C7tQHiAPOJfbhhDlAdeHpBdY+XryIMkLrEwk4W9otq9fLIRntJQsU5+ItwKFPeK4tWsYAYCWzvQ1omcfK6XmdxhPLAY6c1553+zm7TN9jO3dtO3eM17tCnZL0Z8/ykNxFhxH+RXwAB04rv6Rb8CNtduXQz/dnwN+LSTB5qtc3kNcG1riQs0ajWR34nWk44+0LOGb3JIHXQ1fRCen1HR+MnrCOciLma3DwNF+XEBB1CI68LGuQD2fzhOuBcvpeR3hlj2Ad6AtZ5kVcAKecz3c5C8ibr6hTuQtp8v0m4aSMRLY5neZSDYRTchqI85GvTvKgPDx2jWiq2+/YFzGWlMjH7HQPbg98y8YvyFaCFXxL/C3TV9VXX40P7oS+RgaveXoKxL4Zk1vJNph6QVG24hyNVjXUdGeQClNWIAWZABCyHQXCmadSeBy1SvU7uM2vVm0Chm6P72ziQBlUBLRO8eXM+T121AXmrnft0TGvulPEHYelfbAPRaPhcXfjne5g7Me4tF2kjWOVdWftMmmbjGn28boJB5F13IyharskKnsidCyVlW+TmfW50hZ3t6lS2bRfmpfXxuCHIm27bDipwtDk2FElCnsiakoJCT47GoG8n5P+M9qAIytuhA8zcAyuUrs4WIwCTWkO+9IxfCdA5ljicz6XjjZt0g96g13KNjY2n5vsGshtY664Mfb0Ue5yAKNp5awz4Qm0gXBMyc6O3KEmuvLI05ROVg4ZMgCsnFUwvqkyK/QN55D20z6/sePKOTSgTNZPTnHJeCuWJ3wxD+9Mr1Jq5EKbt4c+j5qS0a+Dv3Wqow9c2wfFjsjmuzjRiLejofBOUeJDvPvDFhcg/qh09RkExrFxpx0I4M78bhwTi3PYBcbGfLspznRH9PYwd3ip8ej6dad7FEkE6xxwOyN5vBGe9icrpVcURRN7wF+M5o53+zge9pD5sPqd8O2tjWP2B0yu33h9H/Kg2XHY1VGmxrJRZhM8kdmHIfBViUycU0g7QybyHeZIg31rbmce88VgiGzz3/7M59eTQNqYAw3Gc3sOdBL6EmSHzHl20Pn4ZvqTWF0m8M1p7ZE96uqRHqk9aws6wbeNupxcxu+jT23XewM+B3pGg3bt0AdaXndBsJiCuWw8B8Zv57uI+2xGMwIEvJuHefyY+Bi0Ydzuz3SMxxhAPwSaTRIavYf8PBDUfjLbMQvar/gAzKmrhu08waOFMbX2yNFuXKk9y0PfMDowj7FO1I2sTqLzDM7cxTvrRkdUT2jlKSUJbaLgpRD7Jkwji3QagGWdBMs0MVvJLYgSX6Y8ttidYoLMbsJhh2955yvJpex0JU6nwVHSmxTXUNewUR08KJ/ikOkHC9nKfMnxWOJ9E6+kWRnPlPwd68jIizNHn4iYDsE7+F09jcrIAAwLdg97cTrEGyrDGVm3+VqDxVlKnZ6FThfLdnvfW3NXFh04Qz5GDn9O1m1uCzcWredjo33b4xUGVmM6/2TqdtV3/A16sXtP9O1AFbI+tBl0yLPgAztxzY6g7Cwn04BykjfUqX9xJzwN3dlidrQ/Q7CI57p4XLv4d5YP+QLpdcFmnMbE+N4mztpGpZ1t0SalrQf3ataJiW1BOEHHyrKNigAruBL7zXaJj/6yxbjAf+zkFD1ZC+Zb0PM69CHRKOLs8KD50fZ5WlLQe1f01v3frA/wVERLYwHm1U0hYXER0SFfm5GevtBE9DQhF2gVCTx+5pfpI0LxTnM4lE7mTZBbmQyBeo9vyAgkrzSVkcWgIR9mOQl6QjWG7lv37XGBXPim+rNdTSX+/VGE5IHiij5v5pH6d1OilTiOiz5ysHSuI84qjysenwJrHodEBvJvQzXIEFxGAOWo3wMKKHcSu4plko2P8bU5JmmbRLzti8FZ8yfHBkY+H+uOhXSuNMOZ+8QjNgGlclQk1euqfmQ4+L6097I+yOZjsbv4jUpPgdg3Y0KHtEhqXK6SW5WpQmllpLjC8DfbLfeYtCpPCtnVcpePg+DESsvLSKs2FDikYGhlepNaQedyvft7U4PRLpHpOZSaZ6iZA53zK8zjx1TIIoKcOYFtgrkNRXr0BR4NNoDjDtlUcCzmS1Ca6VtIe59HNJ/NQ9Pnun+X0IeuKNT+Phybo12jc2fg7FC0RsHjnSpkDLpT/YL9FnFlZQrRXe4ycIog0NbZlMzgZQoEP6OwzxSwpeaevKffqAA7Y4kU5Cx4wP2PcKq2dfjG8zsLzoZAnkighdAH411wmuwwvrvYjtUqMFImwJ8VM1YMG/Rr4/LY7gRXzet2gPQW+6n7fvWGPvBW/Zb1v0R5m9IbjLtXxI8jyE8l0z3y4k75wkf58/sD5qGohjFPAUpKH49N7IB6TGo81u6j/zfp0gs1N+3MKNEyOOijL/dx7R/XmeBgRg0aUguD5Ch0PsinxlWBjzqnDLeSR14kNOb1V8oVeZaGYlX3Sn4v5otzbpzQXubsvesemhP4V+pnOKc8+d602CHn6hxjcXnuXqVlV0bG2PWQ7ykQey2hk7EtbIGlzUWy1sOPA7G0T0GfKXEBuA5vmMfVaRPqFEY4aWA3473p4pmYf2VrBluS9b8qqUjg3UmraZPouNz+Ki/bktlul0zvDvzvLDURvyinydIpl3xnXTsNlDU5WjA+usWvpLu7sos2VjKlc9k0X3ff3KI5zVP5HaCBdkWS/h7H1B88uIlYEAT6ivHSLlAabDJPOCnlftTZo81Kr4jGq+BqKFjQUrBxkrlYlWOn8KXgwIWU5q3KXlGBMt2LaWvRP2fBgfA+eWeoar1gB6X2Uxc/J7N5eUZXBI/LhDzN48q2sCONDO6YA7aoa7TNncLEi8gR6ObfsQwrfRSat8f3oa0MC+ag8+WtEstXbIf+fll22wbyBmykoBPSez46dAaAkjpI3rQMf3iXBcHCc/Pd8Bh9Eo/IDzhr+yBY6hZQpKdi+OfqHX4L9u6CPKoFVaEu+l4FyNKUfT+zcc/KZ6naLXypbF7VahHMpYUSqyoz/rhKZzZltfOUdokqP3/UuK3ShR21wT/EG6CquYn5aeH6Y9JLt49fUnoKxL5JkztzHxWhIj+ugvZ3cR7Co99k3I838iTK4Fw1szhiceR1f2WWSY9zHAwC8dJ6LNCW7VQz4IcgdLt7EW9px27U1uYKbHTgj7u5EJ6ITKc/3QlkoHGFq+6sVZhoxEN72OhgpwA/u3ttnyu4keeZGFea99eadnMoq4NOjvb2KHzVadvlWN2kAVvoPx37Lscqwfa8T9oZfWJKbPdjkBmxzkBs4+7GLtLwSAVwUM/7W8V2pcgO2lNTulZc2nzuMLZW5xwHVGgrAWnPukNA706D9w3uZuV7WnHXXHgeYzRXqI+ytzHO+xxfXV26oTNBxl2Y0o0GeztwtDbiGIHinwYgsF8gzSDEATflD2MnpK0khbFvA4/9NvMH+ApHoNxDjo9Vq/etGg1P2Lwy2e+kET9fmeZ32AGrxzN1UHSA3h0+yQ7NRu2du+yJXwFfMj0Fxu2ge5H2/2abFJ7lgV2AuHsvXXxjbR/0P+h2e+55dLq7nXjowQ8GPnh3afPtneMV5YD2R+fd6yNtz7tsH5R56oDWjWjZSQZdwh2qIkx207BV3nXr1hbdCWtyierrDfAQmSu7FabCh/w6F2WcMBAcXCYLGc+eIK9wgRfSdxfy7RNfdx9Ux/tgR9F93unt+DnA8kr/HDcX1G6+EC9o8DoC9AsmnUcgM6qUOTN5x/6sT4+E724cWhfZn/WDz8MKeTdnBO7y1IVRuONT212M2ewC379WfpwAYXeVbtTXyE+sT7u1NxiOhRxGnOwUE+WXyBe1LVte99He7uBpmcB7Bq7Krw7FAvJkRyAi7tr+oR9KHzsKROz46NYuHAWNj4o66HzVwpN+aw5/O8ED2zdOH9G5sJtcauE+t+lgjjtGsa9cXpv7wLcfqMHQX/ttLsRztHEoXkdfGk/tDj97p/If3rmTDjZYWS8SHGzIFxn3S4FZvMOR5PWramC/cgl5eWtzd7fyMRHftyiXroB/zKJgmCdBZgnghfyK9bWRL+z07YfekNleDia/ru5fV3kpHl55R67M79YWLed4cRureMQxnnB6RTUOoPMZTnxSjdudROV1XgILtyN6b0AX2U6DUh4NOMCrDDjatYagHxwMMDp8wxDr6RyzEtO1QE88dGPwKajMRhpvcpxAlOimVcJATlamA84hiIwMMQCWmVl/b7Bzejt49+zjfvgrd7GTSkQmHahs0XuiDazOfR4nwAPFuyXQAW2XDttKkFdhuStDVAcgvYj1FbQh1HYLJ2dkug3U6wK5WK4BHpyXU8IP0yAIfBNsa0InDC/om/p7hz4t+EHwA+pY7OJtlap+VOG62AkvLp/K94HL9iDzxLktGb9RP9KKO92I+wMWBbgxQzRg7JFvYT/ovDM9E/LZlTtQh80FnS/ox9D+13opqLbcvAE+gWlvOiUs7IR2J0l1LgtjAmORJT1dx5904fsCkztuP6PTSn4q77gRL+GTtJrffckwg+9Q51WQZVCWeKu+Xy1AKgNFPelLntvFPG69z7tisV3a3s23z7LomDOdE98I47YKQKKcUVukU59WC9EWsg6/67xzKkHF366kgh6u2P1Y/1JnreQ64a36j9sNinPO8WbQZXa11+c7DuSe4g91pz5ppNHWJi+BcYlXPDQR9iGd+L2VdhxemJfsRLR9XaDfEIsL+9zYFosZp67UXL8gDtURxWUfKj4SNxu8EekpEPsmTGY8oADCnRV3Jg1eoRFbKYtuZfKKYyflwyrsKylhzmmCviizZgYGGtDIwIHZdVTGTFlSBhVrY6Xs1JGQodr9sR5mNCLcoYXi+2p1tt5FKsiUWPgkCm+2+mcquZHmUNnKhA/XZ05faCfn151DBntozaYIDLqylXh6x+zWzfg+iqDGoBVEHFeppC/cGUvtxLLHx0xoKFrjx97seBfG061yV9rQYKwa5lTGDA1QyJokSkKnv1apWB/aqmxUTEi7xH5CurqkqGkDHH8rshK+2fhUTpymSiTSHc59/raqn+vq/pvL1uc8ZcMa+WPP6APxUsV+jK0ZbWmlUA5+u3GE9jrniO6oh/aFMRWFl/Sdy9tD37h+ERHZPQ/TPkHjPRwdCO1S2s++6TMq+C4gBEZTSofQBwY7aUs6p1yGvHy1yCl77/qgnb9HWOjEmPfBiqQ7VNjwiGjPvFhl0kYO/nHZNO+dyRmcIiCzFa5HtEuTDYM8SbrCszLjvoLlaKnQtRwf6pNfX0ow15nncgC9KlelEJwV328Zv+UxSfn2qt7FuKAcszpe5tFDDGsELs+O8mQnIctaNmozQ9Ed3eyAax7xk3HR5NIhwAarQNuYjsCoNjQHz83av0pLupR6Lj6lF0vhqMFVuoffnH0raHguIr1YF6ZTGquUsIvgs92zj0kn7csWQ75IOh1flC+S8xeTN2djQ99Lm4Lq9jA8XymDVRX/pHf2G+z0zDFf+jGKE0GyPPq7DIZ01DeHniHFffCJ7ES/g1tADnYgqTq53orgUdcVEb3Oxq4vMl0J8iKJkg5gvJtOoQn2EZdN2hpsxyQ5WdGL95S/TGffXnDqYx0lPb2ses5wSMYxs1m7iJh/DBeGCOhaoJ+aLa18o3uYLtgZ5r5/NJJLaFgEaFIIHuuUCJ+/6eLls8XU8NmCWVDecMtoCPGEPpAqP9ST/XXfM30xwLkoRBa0Vx6tr7/H3/TaNITT/N/sW3i3sJ9KnB6TXqu5R7IINwlUujjyxoNmcEKKZPMhpLO+uEB7wXZiXvvI/roUlFzAXpVPA9kZreD3szRsI5OJJ2UCfqBHrNr9mGBt/ODxi/NEiS8HUAYstQzrwIWNXdaLr5I6Kvv40elFdfbXMT0FYt/kyRQpdz+WXwEcHbg+r+xt7rBNLvU+Mk5ha/CyFUdBqemuLMIwZWYwOdtRY876LvJ8lKNdUnYPJuDjV/uMfhCot4vtKs1WL7sdtU3yFYTaFhZMXa47N7BadYprXz4kl713yqu7mnQHwl4ctwU4a3/2rflVwipgEuUpInvkmbsax3jRDk+RKBSrlUfabw37j45aEIEdHdCmaSwc7daVfx2GRwT6Vo/vNUVdf/iGT8Oke9z1G+yAdWm8nzt4cQx5YrBQUxja7j52+MZ5jHcXe8TFgi83d/eeHKs8h+DUPPvtCK6tFnK4OSV+7Nyq1N5le37garuwx1zBua5jxat+G8KmuXUlEJs5cHlHrPs+6J6vSnR18RCNb+1B0t2WzlHSAGUbP4XjlesGvz1/PJBM9QnFBeC6byPpHa/OqHUNEqM53Q0acO7jruLW7JjiWX/38x8qCKcCZOPJfKfrauXpOLNd0eCE2j5IZaFtuhuOaUMDub0BqZPyat8fqCMhZU5G64PbnOrK0wIeRn+0qERBjrvO+Lgr5u3qiMscjNkRUTHTxIl53mE4tgA78GCovzoCyx0ZXd35jKyZjv06LUv1IW7uPdGZ4t66yK76wXbwrv3m227OwT55xry3HmDyGGfzU8tDOcXPyRrdlZ3siHS40R3r2vbKyc5ODvuOd9oM/hicndTHE4jydnrPZfgdwG9UZ1jwQHy6S5ftAWSawM7YRmNxkrLgwUTNA3C7GYy39uPee9zNC/1xrJTO52F6F2elL+D4jHp28fhkvFVXase69UcP/bsy6pnmWhdpDxS4SHYJ9w12Ejfxpw0Ikc5q/uOOYbk2xk/pSKsdMUcG/Tx1kSo5m5CzJeRuC4o6fUc+IBeulSG5HfCENvBCVc4TriUo4Pct0fva7KcDVoIqL2og3qc2suGcnSxyMYVjnqFevtomJOwakAGmC/J93oZ7c7JP8zSEVdSDeibybISj+XDRjW/01KNCAt7j6sZo3+77o2192ksMLtD44EMnQY/YB3g/PXacb/NRtsO3eDQx5p2nPXXr18w+n89tBglE5lHOKrcsL1zyw92yw2ug79aT8UO5ksgpq4ICuoYT1q/6FR8TKwmNJDTYAEaAm/xl3SzFm+SmtYX1KcZJ+w31qBVJMf/kOvWdwlM8GK6OCfMt5MdO1k862D6YtzP0U4J7ZkMhDzRbO7EptuyEFcIZ37U959tZXocz6KQZTuV80LHOfKk9ylMXoE3wQr6X8dKWwAxtA7zSlH3D+YltQRybTD+k9l+iA9oji0KFncjFKp3pelcCOME2StqfbRqyTR4Xgtwd6anN08lYZzp0Zyw4aFbtGpwvo59QBme8NZM3R9a5ACj4YaFdrRiLzL5jHp3au6CvZ/JbfYY1Hc285l9lHLIhyeb37LacVnSe6jPZe4z76YLcTTdcjL5VnQlhcLnsdBCq3NntWgbB9qRLXnBxcqb/BPuY8rAPGfEwPTHbeYzwaKFeqjtBfSWPeFmLs19yegrE/hpJGlx1x+Op4chChoR926Phm+74TJRD3rk0DarkDqKE6QVlfRMLlprS0uCYSA5AJYwW60Tj0zmEk0CsOw4Xgq0WpIYi7Hx2x1WFRibv4L27I6BJ6gDBgK0pPgpjobRjuw9FvB9OZ1EFbhQ1msDxzpnjpDUqgwKFFYJq96wIOQ96+G3HZ4vHA5USDfChsG2kQDrn9YPmj0J9CmoQcJwy56nCVpqmNleOcS7ry/UhyHu4x4fpQ8fXGZcayG3HNzyqRo3ueWyQF+Qq/LuIp/8m03Bzyh8ocZp/m/ioUdOky65zBeY/Kn/BaJf47PpNCsWyKGLzFfASETumvG/tOE4S69bfRYA38KJKyVu90/FFxbjPOd+4P0SCI9949y7zjlecj13yPm7zvQVytLyItNbn6QlqRMAu1YZ90kZf4uIWaK+NzQasp806BYooHH3pcL55/oSrtJFmezsM+LYDrRB/MNzG31Jnw/7SZ2iPyGx3OOYJ2Zsq15nG3MQfo5+Ut3qSo3MNBi8YIR7kDLqw62/SQTzlYbbX5AHRYXnaRNKOA6YdPjPnJPNmPQKP2sHGoOogR5VTBwhpyBWxI/WM+XtcTcb4+o92zzx8jPlECsozCsineLhG1NeOEIUyIUiK/CGTlxl8m2Rt0uOOepwvFhZdQNuQr2C70gBg+q4IwBitTTrVeRyCcSb3Yl8vA7O4KEK/w7hreefYRt6B4+v4eTMc8bjvWa4Lzw2Fk/Ypgt77XJRFH2dQvFl/BQAGZ7zPFnQUNDszaDtmfhsv6eKcRTLoK1ngJpL0XYYD6qTQGHYGPKU7UjW+No4nV9E8NhU83tmLq2or/SrM+xUBz3IhAJzVD+/u2lmsxXGRtID8TvC+grP7fbX8SV7kf01E+sWxnzxH8nFbyaIOxRbjXjrZijGeO/jhT5+6RtBLFE8Gt9A3riTmo05/SWzurG70Z1h2PiFG9HZfcTZa630sXsHCciyMkWa2JXaHz4oKlp9TDuPu/5IK5ZvTz7+lug2ni7SfLghIdMlKBpV1JTphVkdpKxa43kNrV9pQvu8S6MLh4T7NHbKN+sIeQUcynACv5VAxT0t0I9aD9bvyDqfrDFzCYhsHY/DkTuW5DhvLHvtx2BtukURCb3wiVBivdDLEfijTGa3cK2cSWrd2jt9mS7NuKxdo2MqenLD4GqWVTcb8es82X5zBa/6f81HK8dsWI57wpyqxzK3yazAwXIdjtLfwhTIt3kOHqLsXsi5dJMQgKzgnCeeas3clXtV3hddeoZdV3uODDlYL+YLPnIUx+oeVbXWRSgcKdVpFLX1f6lgJzlfyzfokpWcXy1jB43fVxqEqvaJBWJGnQOybMoX7PDLGsE/OEIK0xrC9coIKRiYU+SxyMwxAicCJEITrYODzLheekTIM06ksKY52z8+oNzD6hPG73WVnk3CbgpGVNWyHC3Jg02BMsH/d/X2J8se7dvCOhnCksYgZ7vaqwz+R6UwAHHi1ld2PgYJpKMjeAdhlx53IIOhtJRsrlYUhYDs7hYR6qJOEM9R9OEG7wTsCHZMmUYHWwCze5Yf01G8yd3RKTOzYF5FyF6wlt9NcSXx+d8JeFVkqY+2TIWj0XVdFqp6HfWvJKvoxsIlAn4G80S8cyJapuOE9Jx0CutJalG+ktDmHstU9jzjmXkVacfghbE6KLzsbRI5AHuMycLDjupM26G5SZ0TieAqvUfNtZ+Uq3AsDi2ZceaRl4B2mr3BfuDr9jhPdpeycAU38XZz6Y5/j7u6oATz0CGzXDtr56niTot9m3koR0yvSzLlER0Tlco5eA84WBL6JOQiwnDNe2KH1ACuvm//mYGCQVIC3an19fncOzkEPYXEB02ETC8iGVCmdbS5cEiE+qrxW6bPNRT18p6MZ2DL4JfNElJXi5a09tylXHYrMNLpMXaFNeplELza2JntGOcXHVUF6SF5nm3fPS/xkeKmc0MUJPcmTzVv9CcHZLKUOOuRXSbtQtjBelxwtIMtlwEJ+0LUOMnorZyLyydLQgjJsMB3NLRC3OQpHPCVZM8PQ8XuGiX2J+Ufm0rDm8QR65GPt4uIEEbxmQcZisNCXUvepyWbVzYAO9XnnoGoQsvBzS75ru7SKXdI+cQFikkeqPwjoo9yuDMfQ744/HvBCcLzSC56ST8qnyG4reYb1c0uf9XSdZf/buCaTXv9mvCuDWeCc6lJnifWnLIu2c4vv5m6VwYeh8nBCEfbBSXt9ECPKTofzWX81ibqNqCIIdWZFh45uejBmhMUUHeAhHwj6b8LjEE/HF87ahTDwXlziC+Y0tPt3xeTqtM39WNniQtQX2VmJeiwvrOGmAW5B7mFfZYvDs+fRTzqHj7ue4dvWRQCe3a3Ni4dh8a7eX9ggsNIExoT1iwbjv5pzNp5tLurjPNschkAWQLtMg+litPE7BHJllnHvqRzmsX7Y6RvUO/WnWLeTTfqPdRQo7/wgQvlGX1h9SRnsPxtPgNWe01hVc6z58m7eSqQj5VHe/zLm1NaMJ2T68iplttHSj8f+MuOn/bjHVkR4sTlWdixqq5hNgpsAfTY5Fio3mT6dENCdzDbUgnOsJ/0+VEU35oheYuNM3JARS9BVRUi+ke7I/k++i5v1QuTjq4UBGhiz+ywFTgOEOYX3aKe8RvPu9I6/J2W9T67GmXcE72OXY9ClEC71i9q4mZ4Q2iPZGMNnbo/ShX5K6LgXY9LoL/L5VK8LcIo2uLkLdKm8gBfRAuxSnwwxjFkm1KlFglCZi475qhVejMt0vdJzV/J9lUIQuiiHQWQvV3wbjsx9yv+RZ6l/XcQVYZ/qP7gLm+pgvQfDQdl4hbtg+Te2lb4lXtpXLj0FYt/MqYGQZeExBAQGNSzwAY56hKWOxFTYrSZpJybkmJdXENzxuhpoMqPuwGt/1qZSNI4Nag/9YJs35nSgKOz+HbYrNVyxCa2J0FHEiHM8FpI1M3FHV2GbOrXTC3i/u6zfjn+4k9ntjFKY4ncc49GYuLPE4Awcj2NaDmGzv8UzLyMJxYXuIcW8R7+QLqBHPe4Tjt0/ts36pUtw/nXxzyjsNejX+mhPO475OGAcxiQeTeWdqbD6q4sdT3zQkldGrS8rXTxTEhar5CzfuD9Wg9rtg/tRb3bsp9LVrQXheeANWnyfF8NbUFr7bYPxFxG59XJ3XNvHjplhwLt7grajb4OzU2kOjfhEkNpPdXq4e001oMvlhhJh/R2PaCmNf135jX3GfQj8L1ei5w7k1mSOG+VNlWrlhZvAkSF5Paj4spLnvmld2ofJXLQ+AT4uchwpPHHQOTr40aAXa18W1Exww7qCk0JiPjyuc0N+ZI1VZdG3ewNjvhpvpp1GMJrIOGZOzPBzu3hJboZAbJttnUcLjTL7DNYbj06OE/QOEc+z4+prkJOjb452TprNFuhgnuxI4Zlp9gMGYbHtmPd4r0ZKhOPG3CnTzfVdcJBKQi9d6WXyaK2/t3HsrAVFm/EQK94QDgsn+iujv6gT2fDSXdTmwED6QmcVO+VxxeqgOddVyMv4KDREs8dgvR7zZDrXWN27gWzVxVqhi3GewEIkJ9f1uGlnYM1vVhZhIj1wt8K4TJw9XOwr7COHu/BoxRTKYzuTOnEeBEOVVwwPg9DxvpBX6+2un5yMHHxJg6XN/sO+8HOTj0NeGdI77lLvhDfkNXmQ9JnirMeGIa2lp6aoJCQa1nfeAdwsMBLkOa4Qh+7HPnXOEyTyRP48JUjGS4YsOeuv5LvbtY5jhItuw5xu7vlsIpcBWx7nKwyBcX6JeRkf1dGCfqnZSCad1pXI5mwHbrkzl/rN2XRVW0iuT1sT5J9E/hPkFvH/LtAXw75wjmHkoUk7nA1HdSCfcU1CvcOCI92BOX57Wc0VHbLb49Zaz+cP80dNwwa8N6U6taI4HvzVD3BCwq1P+WffEXYHmhj62kbX6rQp850OYHWLeJpmXj/Hbsrj7viGme4oO5qv0xZONt9+NwxM7wseVwU5sHzQr0G3cfX2JE8s7vHB+jF/j7hxeabfqXN4mA1+a/kmIPOxnyI6/kXS31MPBn8UwFS919FQhm/W965Pe4prtD+o40c97mjiatHZJiYXWSeZJ4YluKId2WT4NbXu7vManh5HTiu6NZ9b0MNmmaunNITjhjPeavpYm2V0Tg+6cH4lCACdBmS1z5BPg92IPL3097Ti9ypflSp9ovm/Zu9IPVctH4IxtaCa4DXMIP+K9qBPNgsMZif0HQVZgMtSvyrHI81cd3/wH1A5fJ/6xyCbcB+tUtLXGpw9YOZAar/jRMGCzEGPPeZstHmA15zR4KhryscVAc6tIsh7sc6z4GuZB3Q5l6fNxSwYqHfB0Ks7U2ksl77fYgEcB/xf1fQUiH2TJ7frUmQagiKmDIQ7YdKJNf7csZLelSNGUd7zo8pkthMFFYkryzPOGFY6YeG9U0ZnfVcM8XKXjUhwmmEZC47rZw3YJjtpEGd3xOXoX8zLK7YvHSWminnRXHTWLoXb0pkADkVQMCs79vg4BYAzpLuIb3SOVwiYotChtmS7rxmkVxbyOwqy+l1ZuFd2Sdqo1ILgdqvP3C60rP4WGuF2MrbR1n3e3+oMdg3ISrPgXKZU2vG+1KZMAbTdTLoDVfHgQF6TEWzpHm7aHnFKjOEF9wRWOLnjXkNeqDvRp7KExqIFmvn+u4oHLxQidEAI4ZXBZScIOg4m7+2iBmcX35cIp2neNgN7OKdC/cRLLaCftZ/bh4nHfPApp4BS3hR274ZD1zxl+ePH9tCA98xj3oz19ImuM857joPhlvVDE++gEJA9A1cbz23egW1lic+ZM/weIwlS5kArneJStDcp42iAA3hJeY9Tc307F/T0mE/GOK7a33x+NjZdEKniOVYp9r0f5zQowXWgXCzyGGzI506BEDG+MJ00EZ7jA0nbshROXrhYjstUfNZlT/Q2dBZeqSs695tz+nI7nKFI81cDfuh8dTDF872oc4zV1slureh8qvgX4EiOt9TJs5ib2bdT51YZGIn3Aim8MGTYdg7gXtVRE/lm47MDnEfyvV+3SWWXPl4IQqZXumRwq29X+UeWQG9kOCu8+dQGt2uoosEz3l/gYXVU9i/j1WUdIK3qVz63zb/hFJUsbybTGXTQVybDCHwuKyvEW3QOo4Ne8bSC9WK7s8T48mIqxhed1dhVmQwSEXciSWZ3hL7gBTwi4bSkNPFOk1XiPKgbjDG2ReFwLGvmZ7BTtjrKkW78Qe82t6P1pYnZbiJmHzrbgNUrPUYfFpYdZeYIuA0CzQf29J00cTLVvuFf6JPKfuTk9CuU6+LfOZspkcFUvcPDylWppIv419FvNleHnZ07rdd6nAUvaV7Zd56/XeyaIwcf6Qjt/i5+bJP6M5ztm9GIz7LRJhK0ee1dsdHEXmHfoM3Lfdb8O6MTPjEqSwwLadzmRV70lDc0CScoVbIjK2soFYt9j28LOBpIXSwENhjKpwrdF3EJJytK/O6Gp+fjvExt4sXwrV6SEbY7WOkAFjZ6G0O8L0ffEY3inLsSKAv12EvdZciddRIUQ51mJeMWqdek43Belc98tWkdPWl/UXGmk8z5m987e2ZnLetwH1YNJpwdP8+7INhTWUoWGM+y+q/Pd1p94KGxHtdvNqkvEAn6Kvp8V95/27R7pt9dx6D0e2ap0nlfkSDtUyD2TZpwV5PfFdJiMJbvRxjvzTk3jMbemim5FszQHbWqPGlZTCp0d2AcTYKz9Hjd3R2wWkc4KksFFyopgHsWQFs6FSqckdnvsz9EZn+FXS5cTmQ6iHWVaYM8yFRaO3a9jjHiHVTuiCEVNtgP2i/YHZmBjfkUj4HLPE5s3mtb3QW4Pfh7zZBBOuc4v1NFSz9x/6MySoqd2yEER1F2EQtmrpz4zilOyrMNxxhr2xW8d5GH5ulJuHxypEWW3Dj0qYClxxT6op3a17pYENfGAXfoACwMnAQH01gV2rdm43/74B7ySBdpY0eN4ys3j9/BI+RYdb17gR+MclV6RKS3sSJdd1zRrl8L1orADr/Jh1yAUBTPSW+24xtxhf5hA8qafpO5mxv5kIjcRl07HsPXac6Pndp6h+rtg13agz+RYDbS46P80mWxdiJ/y2lfdyzttzZ3wCL9KD/VMVM+QH2p5XqTeZTzLtLauNNXZt4GdbhdIAL9N3445xXIE8TdH10OymHXDnPNcrJD5OBT4djaMTZHe6HeRJY1wMfzuKlq6vFWeo/w/qzJfsv5pvbj9gD9S3SnOxudHEHeJSL9NneDmtFKfLMr/ipfzpRSqEvbPg3jCQdpBI3Do59GX8G8RJwsD5QNzheoB8fEju1HXtYn79oe5nzb6XjW0sncRHjni9J+l7nQYBu8w/htBxrgIx55pTz1Fdblxp7G75Dv3fNzvk+UF2wlcPp27IY0A5P5XJeSNph/SzvupbXgf6vLZon8ctY/dQFft0eO+UFejz4rjP0m0loz/h36f8wZm7/Qnyqzlc73Z83NBeObfdAcOpg3GSe3tCFT6ds41mzKqckLUqPZHmgRGNAGBhfUeE4djkjDifzV5APa4sYfx4gNdbzHV/ml2CKsMT5Kp1I4iwwYwG9t7vK1ozY10320+ZRmyvjvMoHsTm2RxYKYzI4KR77SNxdEzXZ+ku6g75gHu29c9xXaqeBhFrdIqgnzKssHJycZyKRdaT0q53lnV4f+ScqxDi0COs9ZAKdXam4AAQAASURBVJ7bwfIL5UqHjyT3go7QZ9nguKf+RofkagFTdEhDXt6tpTTKR1qSrjDlRJ9Bjt4s+FTNGr0PG2XrWYDF3attjfKFjG9yedQhWp8+DiNz2rlo+qM/krWN/3prh4gAPb6JSL8RP2+zjP6xU5oEqtJTrdAv0aYcdHMzRLgG/rp71/XHyMo6Bulc5WJ7naqkH4S5hDoV1YUBwiyYY/AE8vD3npdFmuGNFZlf5agCFpHSfEnhIV8XMf165eZwdYKOcPgsxiulD0YU6QB5XZvfehPnWzTclddxP9Gicaefyyx/0Cehk9j9BisJSvPVKA1/V/xOqMxZ37pxknIsMHCFfGseD12VW8vaNFmbajvT+DnjL5O+9YjjqwE+83cXC235RI5qDsaCEy/rw+LkOPuNMlTbBHDwBAE3hRR1lH8Jj2nIq87moMmmWb/I7H8MNuL342HwdfqOtMzl0vFSnQ93QsJizUt0TjzRBWNfMAW/Kds8qKMkpxSWbS8CnRNut3xpec2z1L2ivcf4nNk+aBvOlyJZfCb4HFj3oCKHXnZxEmd4Gc8F2hEJOg73c6Xnpqnymz4O7dckPQVify0kUFYvpypvmGj++M2Qd1XnSogQzofS32P+q8ogg7+yjQ3xCIKnud9nTgpc1ZyuzrljbMwRjY6HC/3gjiTmla8n9WcOZE68osgZuazI98j4sjo5Dzr77BMoVQ7FpD9QCUirHzaMi5WqHTL62x03q4axOjbVBjpbuex2f/A3+A1HVoWVSFkbkyAsp/VqUwgqFEZceNfi3zSQhUYJwyTjRgU4B5acYO8AtwPJoXLZPWro3MG/imM3XFnBaAEutwF3h6uxKQKrtLT+gVQDvLFjghJI1XF/zrxDsWVHRId2l+MO9WFfYltxnIPS0uH3LHfMnZ72XaADNGBwodAYj86TnMYt1C8CynX8jv3u7tM64+XAl7LFPNX8ysa1ki+YkFbxmfFxTq8ExixQ12N4tgmojzIuCJu1iRPXk/ByM6ZwLJm+0r4Ex0AytsGZ5Qg6SQADF2Q43HnOKx0VvDYY22dz72pa0OfSIL43f4t9sXKuPPr9PXqpiGTGaTSCJeXRlSHdeKxdfed4Bj+iTp+kzIoPG6xspbrjd/pwvfPOaMM5Ni7sikv50KE9hMBLFkhYOSn8eLREHlOBTvWK3E9Xv96TjQvtMBkp47cxUwGaFtEs0ehwhO+qqmQniu5AKY/3E8l5Q2rP+AXLLPsQ34AT1+cA16iJyPnRkffIXC5aHFNs14iQ3bIcgzAHJw8x53PFBzL9tUptwbtAJ7qcTsYDnX0WjM1opAGfR92xze9pStp9RW7HYDbi0kxG4J28y5TonnaSFsg8PR3Jyc5+5I17VfSbtzu0D7ENOksxcOkCsbyzNUE96PJWZ1Jwi3fRVTo7jqMevS1U1kgC5PI8Nau4eQ71ftpRyXky+Zi5wFwbJG878rJp38XxyxaZo7fEeHN2ElqDcggUrn7ABbzS5AhwZvMF6QBwcYvdZE4Ftl+F+sn5H5K/oa+Tfnft02a2HLYLDOvnJm7HrYmv7AoqTEQfS53J2n/OXM0XSI3NZFjYZFLClFx3zPQyeOeDKmB7FjriYwJxVXuXCca8F/I/LXZWRcd5qPjNbw5G978DqBVK9O0ynBfZCQj8C2FVi0uy8im93JNA3lyyhZP2pj42EcnskRKNF+jGFM4d8JZtTzbpuMBtqg8TbDnvh2zM2Y+d0q/aIjJllsvfFekIm/nCXPDiM3OA2LX/FUtPgdg3Yxp3eG3PSRvpIm2bmsEkapkKt0hUOMYuTV3976VHovjpahu4k8xNmO245xV3p7l64XdvTbpS4cM0vLfnsFKPGUcTt5qDjfrSWG4SVjuZgg79hbv+GKZTxEmpbQ8Dlw12keCdLBr86lNZ4HtY3Zg2sZ2ICt8FxhvAlTkOMUg2A7tpgGWntkFe26FJRhrWa/hZXykeCdMj2sP89lvbvs168X4iqxuV9+Gks9V4o0NZKVfevj8jpj2O/tT3Rhc7SnxPW12SvtbdTVDnhAndADvt+g53HxcGpsiYS1sT3HWCCY/pK4PUMmmsPCa0i7hd9Jh3m4DnzjDfB8sEinyj90b2Zmxo/x7talhI+/uhj1XbIq1y6KKTG9rrFbFuO3FL1J8T7NZEYGeD6g9abx98ShWHHe+3plV5YZpol47xNvz3bnjwvcsiXW5hh4oh6+vFcUhWxmnZfvPj7xxKXazvs4SLQbQ/9N5X3B1leYLXxZfPg9NJW8f7TXcpK3/pR/2TRxRlRfvdt3VjWYZ0Soa5yVF4FxaZdJFqtZ7doYhybqy0BZJ1sjGs5IVku7l3Edn7sQP8JtZPLghLsh/f+UBoUR/k2XGXzn645qwNKKu4rMxv0/nRrd79LYMmkHb7xN+NuR1VPuWmfcf2unb7dhzl/ff2MI+ND7wMZHMwAPhbYey4gBz2+9aO3SWwC9/hrfWjnKAqdqR/dfI+zHZ3OWhEbi3OO/yN83+xSl7x4L6weaAgbOFZ97tEkzqxrNNdBiPengPfgLz9NuU987XUKaByU+f/eEZ+jvNCusjtg3PhlsFXmbN7ONy+tg8+tR13qWbOL6abIL+7uDuMre24WLCJOyEByx940G4updfWgz5odWyTdxltAF0a3bmFarDbtfvv3nnac17HK9yfUpnCAiOk+2QusTP+yhUuvPM1OP+R7/dYtrzSxjLJtIEU/uD9ZksOmYz3ppsNCGXTgDBUX+lGDrWV83atUjr+rfadwRUvi0vnZYFiuFeW5WVaaJTpXTige5yAAX2J34DHti7HqTr03qoA0uvjmXUb5e0oxytHonYNy57KBsK67Mg7ytMgr/MPaM5xEtBsMyM/4bv6LxlJHn/UudtDD32P+XUhTKYrd8PVP1v/6i5IhCl9+iBEXJAOddyRmeRUjwue+6RHvp/8gNEM1JFpVLC6zknEZL7VZ3Tsn/Ud0tBxIhzqHu6PT8Qj00w23yb/zHb+I/5uoSvmCQFkQsdow/fJtPGAXoo+cX6jgWvrVH/GktE/p394riY7K10AgXHCdgHeIRjag0rk8rU+rwBjXRHrW+kNHXZdMe1O+hx/1bfWDxcJ4r/fxPef8hLkbWQnNMY1yMkCadY3cWMBfmM4Y4xXerDqoZwnPKuMALgpLPrd6DngSbrI/Ea7eVm36TFPBDL/pv0j9K5L5F2UB+9HdrASuq6uPnDdV415hSNmSXQathmycQq2q8nBOKe8TRBPujvqjvWtFinxXHDPCZ1k6bJtkPAT95rH7wzcoBHzT0vceKKyulO5NGjYQbZL8j15DnkXY5z6ooqgdBV0d7ZqtaBMYBxhk1Pw1Y//UvzIfkzbN5Dk8U/jEm9wegrEvkmTV+KOvylxFQz2KCiRiV9lWlfh3ZHQIL1WQC4zRZFDQAfj9I506W4hmQoqB1mng4uEVtEGtzNJenjnM6vgRy5GeBZFM0dJpTwFBTZbaaTYtsgEcwQmfMRD63OKXgZPFRYWlI2E30oRFa/A6XpeuwOiUFAtIF/gZoKJhE2VTvsLdtDGypJ1umYwgsBvxTcyflKhDbRrv4GuV2kqpIlgZ8w75OserQOGzyubzLEWTzfsJEoWWk0nhnvpFYqgELrFICM/zItpFJICebb7x+HaJTrhBy9Qwte+6nEtqAVmBNpg5Ar9m/XXFqd307ayQo6o02Bp0KBJC+9MWZrZU3mGfcn9xHldPkWwTxjMl0qljOa0GWCLlfwBxCIf0sSZ8eeVY6hfx3dh1Lh5DYryvMtO7PlUngKPXRlQDud79IJFXse/mnjaY95/pZ5CzlnK6E0i72G+VcmKxyR2yOyFY0u/B2NIRNiYYkMryFksJ8BXy3mSf1g5fHz5Aq4BWnwqZGrugNUjr6cMCHIvAJJyroVxx5eoEhBsNNBFJNXlESY62Kt0Zlx6Peo6YbIT0BYCpn3uZdCKP6xtFpK30Lety3LByVO6kBKaFqa7F+niFy1Pye3Syqq7sLv2VU/uCoqTlC2KLb+fApO7xgrvE62ccdnv+fIO3E5kc/odaHk6+zS/Mn0xe5Fln+NLzcNxAZ0mtpDNFmCDPh3QNVy8TfHYlPV/kPtg32VlfLv9kbczkxD/hTZ2L7v6JtAHzbIhKPSDBN1JwCYhHFEW6Ng5uSRiOzMJYIBncKGw05eT+rm8y1vaHl0CX9X8hkcGMH674kfJbKPMrnI2mD6TzD1IvFt78qmsgwF2A8ts4gdpkJHyHbAHaFrM62AxPkqT3TXC5a3sxyyh/sb0lrYN4KOtcqX+0Cfd/z4/PSJBXoBnJd8Ex0P10YLnLgMXbZFn9e1iHRWN3CP3V1fWzEwnQAo9Pvtd5cN6kFZea/0lm3vrAi9e35W0oovqW9WOVRDycgJ7+DQtNr3cWzfbQ3eNFcHhRQ4OTqYf3JHumccr/Kvxq3x06RHObvHFOV4lnFcgPQVi34wJVvqWjqREsPKda2qUtA73tqr2gUpjlpr4QKPWMZzU2we7/8aKDCq3D5AHs6Aia+CiBjbvQkCgBTw+gidrD+GIu4SrOzjdiiv9wztWlMnC6jlbHap3cKpz/CahDbgyVeGHHUvPfZ5wtGY1nkAPR5vFBZsOvCY+upq19cRBYrvuYl8rTdouvszIQbqWI89+a+asaB3fH+O+PfRjdyILIZkrnu3emu7HdOaFvhCgJ9L6vXGAH3SMwAi1NjUrI8/kWG25tSi0tL9vcaBatRMWaSQQfSKsOnzjQD3Nf1sAYIQh3nEMO5NXd4CpI83uJ6adOMe4JjvJ1fgHnHn1eW/tmAu+5bajx+EKTWTjOygHMO5BuRYv/NsY7A3zIX0bHXS3+lUUDuUzJX3XOS6mJAZHdIPxSZrg+xnqwZMN9FvL2iXigvbaji7uOLCN7+YNDnWccOMb3fUbcB+4Mh5mWND9xEd7J64i4hw0eH/LrGh+t74h5oQr4LXu7aFLx3kts4juluNxbl2OXQ2j35XuFG8L0uAu+NEWDYDrzjDezTd5srhguQjk3cTutd3gjkrP+w/8+q3Jw7NxnyWdupAZlq4/RRztabkHvR+TdtG7XTbj3dzJSuBBX7G7gybDsvmkPH3nXZ3w2wXDugA/6/OYNaU17FNo17HzCtreZd4l5/D2feZoVaBPoA+4rC22wjmdnGzg7pitdlU0ETuXoTWHYOvi7zQPfAzaQbus8C7P1EGhbc9YFtCWym+tzJ0uQnOYHS3OwTTyd5a3zINFoi4z2rO6x5V1g948rk7P2EgnQn4GO4R65kHjXWo0Bzec47QK3+YE7jzdfb8iXWSpN5l6CelZh1NPx10ijxg4pjwedrq6uUVVoQxU/nfXaRxPCfrZ85rgqBw8tbyWRlQvOb5XdpF+y47EdHLXaCaHgycBBXuP+GqoOzDTJC83vzjiF3m+iZyd8HGAcvhnKSyKAhmaJQ6IVXkqG1d/h12ODK/NsXA6MMnTg1fNuZraeQZP/D2tCAdgc3k37CTz0U7N4FXOyeMEj7gb2NHMoNOuOpjKYzxRZ8jFDmU9Dn4go0wZL/Z+3Fcv/eDX3VQMspEnPNMzrZ+mDhnsDmhTGgzoKtOat90kmaM7zsluaDm/SIdyvUW+HXS9UazNhjf4hu1oNiagd4C8UBzNGas0o7BmN/n2I16aB3TC6j7MdO6rLtC6y+tlmi8XdBaas9xfrm5Z9JfK3mQcmB63TMc0eNopvkwWTCjZYEJ6DX5kcuGgi5bQ1ahXaUZhZfy+0zxiBE5OfUD8HT4y2UJ7GOSW2GBV8sHYAQjH78QXlOr+xVzjwI3Pgx/9aVJmqxrvJYWtahfXVeV3erVHnvWOtC481Q1opCpTHiGN/WRwxPEVsx1b0oes9zLNwdiGNiy+MZypS1c068s4tgRtT+ct9IXKNJa1x/eWn5QgBLP5Mnb1G+eTYm5W31EOiuexmtfPrfGeN0apPZz0v/VfxmsVruqHKz9AB9nM+LeWf1sFT1XmQufq/Ex5DfV7evVZ2IkB/jb6tgzADroMuJCvzlkcYXFQd/2TJhpXxYvrXPHeNyI9BWLfhIkF8/GSM/lHd8wUEyEqeCBs7FvFCKs6h1BKA8QKUyQY0v54uWG8J5eZT83yBJ8Kbb6boss4xs3jUzkKXR+e4XA24bU9TtB5IMtjcEb56RAefbg1D5frk0S5Hd/mHU6AVqKshmObgBEfRlki8ZM2sBOUj39BY75x3zc5jhpEmoO6jiaBUOPxc/1BCofRmXfm9E3KXdvBgdKhf7XaJiK3NoVJsvK1j3pnwRNCWu2UTRHVCn2ZcG+W4ruAEVZJb3AH2IJ/sHPtWLjQR4Cw+WO5dSX+ob2YotNvMseG6rK7f+AdOpFcG4rmrRThJpliR8qJAD2gYlHwblbuTNFFJ32Wf5XG/GQ+o+9dAB3kgHOqoTKEbRgKFgbrRHqtqHJwHJVS5ldsYFB+1/+A5wyGgOLWpdxJkrFJC1SUtDu6io7IF9G6D8C9T/wsOLoLk6rDS9ulZYJSqYAdQtpZQLfwu0P5vrXjWF3ll5vK3Nm2tovsz475JeQcck5PkhHcFveIukWPq5nRMC8dodpH3ecPVwW4/pr9gDwHDUkzHnW8VO/AuQPjJyJzsRS03fg74F3ykcLx6ZqdPRd52LGapUCLUI4NKa0LA/wZPPe6yZyrfIxbUo6DgOZACjCP9+poxUqzmKW9577J9LOkMJczg1bnXlIO+w2Pi2acdDEIH2cuIvW1A93/TgMVgLMevZzhIE0OBz/BWRrSWJbao39Zpk6e1AOODMvx9U50AAuRtBw7gV41w/qVTXeoiCJSOy6Z/pH3nNXv5u59u1mDzCBd/DEnHSEuLy2xUrHgySs8OCC8CnintjHLigsBW843X1YIJ3z2ZaRMMRv1ZbRneolEfBxaBbmtcHe6SZ91me4h87h2u4qB9W2pn0tnaWXT3WvvUUJevwp6a2rS/RVGWT6T06AjDZstXRCOf0f5SodEHY77bj4O/V9lq56ShNY7LHY0sYRyr88jbZ1cpmeDo1e38FwHXJ3IY9WB2ufqVTwpb9ZfbIcy/orzUWzK1WnnRFpiGy4EcKidZsNN9HK7SvK5ljvwByBc4YxtFFostBoLfg19hnqwzYkuEhbxZPhhG4jWnQ3chzzdPL4VvPWpe9rvviNx0UXIeyCYwlolVxfzNYTZkjJniWwPkfNyvLDjZST2G1b8rWxXQnMinpY8n8nF6UvRYy/s+kPel43/cvxSxOW0zqvpRXWIy7R3se7M9z0LFO+YV5/ouCG4KyKPvav27PQkX5BkAZYv/CkvJZHPO9jXV8Gs8IF58CI08Xqkp0DsmzkVTFREUgUhYxrpimFWdp3muEjMfAKucIyrSDDy466GdqwoycBlxgArG8pjwEl7BAJIW0SYZ+3pkK8JKV3zLtYGAWRzFFAfuvPyuX0PkjMkqLM1MBqSHaaZET5XCDc3xrpbMawyN8WLVjjLuINRxFag4g7Poz/E6EfLWZCkSXRk87hBGd1hHeK645vtaNJyIjNQvE/jw+3son7lPvOO3FlxgwAN379x9OWggxuNi/4FIafCp48+xv7AFVHsiLX+0UTGI69yMiW6y/3OKqJ5fTfbI/UcwWcYHLuPBgwXpC3cvW5jiw437b85EMf7kccdk7V72ne8cLQhW/xghnS2YEHzMd0gn4N+aE1kZ1z120PkI7PrcNyIHtgY6mLBpjTxnV/Mj2wVfps7R5vyTagH6jrm16RlbZ86RKwd9I3T0TZCqMO3SolSZQsVSVyxq46YlrQB8CodBIBW3N3fAsoGK5ljDfoMnRqTdGjxAeDkgpgGUP9OuuJ7vvpGRXbaaapjKd3JKeTNvc07ZtOEfcn8hfp3ti2OqQ/G+f7m+7Iy/p050t0Cgaa6gBw8odBXXEBTiCaAdpAnhdXUHGTr/FzsumGdLtFxgpM5mxvKbiW/q0frM7kjEvDx/Ji+wYkFJR7J3AjzjmjFnKEt6bshdzOnUsUesrrV+aj8PZuvzAeQ36JekqWOfYLlRQavbNbOKkDPwchsdXf0coLOss+TF7zONud+5YwP48l8hxOuZk7yuQUPgE9quzSoio11cxDA0J/h9pR8Knie6mHnRyB6Gy7ARZh3OFSC6E9wcXoR2o038bsRV+kMpYwviaS7XdP2rdAI8m5oJ3ayhWcatpgLgrGhzmoOqc4qvdzdm+rELL+TenDBcrBhm6z7ABPq0cTTezKvU75E3zIfQG9t8nvi4SJivH/uOFbFDBGclTOvbDLqsLoBCcAD8XP2VHefxuvkvvWNcMLkdgo2k6GIThXsaF2OE5rOEvKOTA+Vqdfh6QiHLUE8o3uac7AyuaYyM0swbTAgOX0wyd2xetduE2m9CdoPFpiExZ9WnGnwoUtbOb0TVpnl7k3mrklcdNokDQxjWxzMTHcYfTL14Elwh9/maAenYyrohESc5jvWHbSM+l50TOw7kn3RbamOw/qzvm5iQVr+ll75MPo0k18N69A8BQ+qku2Ux7Hhe7lhLDIbROk3XE2GvKQntCgSxsvpj4TXXFwSeU3Q04CHsC1a2cFVgC/K+vzZTdlqMViS2E+Dwfogx5keqY8jcBGno3K9e5v9rHSk3/kkvY7P4yePacXzmF7Ddz8nXJ9239YgHxb6fJoH61T6J3SCvGk07ksemi8aXQZIqd5lnAR0jumzjp2KfqXVwgbHO0iPOPhVxM9+g194fhiyaLE4F9tzVH2MRZQZFUHl+ViWrJIL5ArRZxcvSIW+of9uobdUiwzKdva57UbbgT6YVyU9BWLfhMndZblaIWsFFnBMyfXCq290BOiozxRnrvtEcKgAxICHHkeKuPgyUKeWYcMPGCIfjerunAU4ahSUK6tIwOGRUEGpyspj3dkuVVdHcf9RF7/rsskMLKoycBM74tWCf9luEqxvF9mfAWPCdoICvQ1DZe5YFJHepd/weN/jXWrkD5LQHXAY7m/9wP04MjKWD8dk7DPoy7tz9EhasC1c21QpUjlggq4wbnYSkl2NOFUeNpFtGLpav42NiGzP+2HYQ+CCnVcu+Aq4Nmm5kGaaI2XSKf4jb6M8rl27HjHT7FkxCCkIuImbwaFjlPnIVCybrjDVfLDD2vLbkaF1Oe1fy9uPwepDus0xafNeJ6bZWw/8bHs+3j2DugEnwwE/P4v5dBXs9OVEeMaT+A7rG+zgZUWFjsSzXcUy+QE7P9L+o53Hcpsa7pw3UIR4pVVheEH+7vGonAkdnExp8Er5nn4iRRfzOGdMF+mb3k87+yscq58EaVkR5P4MAbru643fIg1jkAJ5mztCLUst4R99llFYHCC8fXDQxtb8UfeA837To1hnX9i8Ge3jurGpiksIlkJ51itspyrCHccOo94xjTgai83X0cWX03rUKb0lxwA3qCs4LFqUKS7AS7utK5mIBgcH4XQhVBmI7d0b0oBfcEJ18VOG9ADXnpE/NbqTcv473DFLBlgIti7qZMd7NhZpe+iZDVi831aPFt7oWHzpBz2Y/gO4ujEi55ZIdBBw8nNzVAlBgQZ8IezswPaoMd4SNq5zguaAymjZ2nHkZpepUw5aUxni2pGc1FHSgVvUWBxmi+MwylbGPQa53Y5eoDHUJZF/PqWL6QX7SvUttjWWJ/dQ2WUiXpDBEAH51Cdfz/hUAE924tW0vJsVeSW+K9oRjmqG8tmVP1dws0VBtLj50D8LmaTBWNKvMrwYtuUZ7SmPfKx0v+QdDl/gq0l/Vry30tm0zuB0H3/NUaqLd4lWM32nazuwzi5Dj4646VG/U6cGYU2yE3F2OJB95+XoxQnOwdsqm43f5MdB7qF8YNyRxhzg+X2JJuyqLXeCi9L6xBVPRDK6Unne4G+mYGBgNhGDaA+dHSGZOswVDM4NWlBq+kKP45o5qZ2ukgwn+0ga9n+1O54XxQnoecmJHvoi7AoF+lDa4b6MvjERs4HohBoXWFrQj2sj1rc6ilXrSPoksMgT/sM6vuox6OPI8OVK+yjoAkBAA2Ugz2C0dCzndUc8xgJ6GqCJcgrfXU0t6e8ireXGiQwP/ar+0fO6McgX+K4Q7Y66HG+k+qM/oxuNOXxRJjHdiMwxr/Cn4FngB0ADsSzksTZOvb0KqgcZmQUSBebhBV7IqSqT0QfuBk0DeQZUXD9aHvRBZXNI86hcYf4L8KppsaJrJ1dgPAIeGK9h3moAuitfjWPVv+xTe3QCvAxVos9gfy7jWT3vlyRQ3bkfBi9DerzCi17r9BSIfbMmVo6z7xkjF3qPQgSZShb4YOWBFfFyh0Dzs/Bi4mOUVjtIz8objqjkQkDWBYhGvrQaNLYMORLErPQlhol+u+IMwOMUHVwYh7AzE/MB7ro6FY0WV08fRxLz8SnAjKczfTo5sQ6RyLiDM1umQuLyXExhhdfimC0swyuNl0LRlRPXNpPJz/TdUGB0J6a2d9CtW0W+9SkzQAHrbkxB6Bf3TQYc9bsuemAlYYyZe+eARH6S1qmKeXZHF+PSFK6EpM73bMXoUbca033SGPOuh+MHz7kmcH+ntaWLPNSKO+6UxTFrD3fwnwHHB4Ul7dvLfAzmSTpvdYc20pT2gbRcFgjlF2ofKc5psACUqcxpxvcwp8qttQEUp1KD9bAcnTk+5wMw4V4JhH8y7y+953mBeMnkH0jLHeZFRxgCfcBj3eF7hVdwjvs+VYfYFQdC75LL9IXxsfqtvJphRYc+1eXknBi/9IgneO0S54rJsuQuG8AP+8GMCOTVxNeyY/ERnsJ0xm1yfK3O5c536QJOKyct5+V24XPI0nJYRqfZ+JoOgEKxl3hlsI/MEuflCZ8NOgkkc+JxakhQcz7oSvY0uXEtMjWgkSxv5tAfqLgTIShNgzVri/g+SuRwvzXHj/h+WnQ6VbgibpZN54IaubzqO0uNUEQDWWkGNPFwTDM7d3EBzlO6lrK+ysarInN2gJJ+kNZTycvkXXnsaVYEd3QmC1ntJ+HK6crddmkd9gHqJB5WBawzuy9buFQm5JsrGJpH5Y3p3JRlJee5XZiF6AEdbraEMOFLmhef+V3pSG3JOyjL9VQ0Xwag9bsc/MjhzI5nyMvvZM9PG8uOm8Y77jm//QGb/JKtzA7NhN+6b1oGX1/UlX0hsfbYQu5VsPUEbnotjSRzH4+vbcCTVD8RoFfFi+vP9Eh43+l9kPn8keFITu/20CmviOiunkzWOXmM8PbjAYMlS5rJ9Cfx85BtrnK+4TegK9RleGF+wIHo1vERfZYla4p90vNBKINEWXbiu9EO7fN0BtXP8G8C21WpeYj/tfGu4zfW/zDB3He8a+DobEWwKxq1b8IrcE/e9038wl1un/Lvq/xk8OpS18t4ZiWvdvpmOnjEM6N3N9+Rbox9g/6iPEMXkGS4L2jOUMzqE4k8nHC39hmO6w4/2nfICJ4Ty6BmhS/jUpUH3f8Uv8JGmpmuCEbMv2gT0gbaOgVuJV6JzE15jdbj3o86T3aEm4/pRDfKFhgEfF3B83LL8gOG8i3Mp/3KuB0P00+S0l73dBr0F5R3F/X7NzI9BWLfzAkFkx45C8ERPo6YVxTmO3RwdxndZ6BwC5lywARmMISQw7eoOxzrq3XZMbCq0OdKbse6Uiajivdg+rp6+DbxZMW+uiDeFANcgR0qFOdUNbz6bDsfD5wld4Qr90HILM4Qt512XfwuMMUhUWC2h572xf5MJuNTZXooNarUlQEKmfn6TcwJnh7ZbEx65MmUPlDiXOCmMHCckEq+j6bnQqYdkqJDO6X1uHNJ4ejxzg3GlwD33uaOD1XWdPcXKlCKtCKo4w7CBoVUb2JBW4e/yOjvuaNZ32lZ7RM8oipzbocjKXvsa/uLY6M0Y8p6m3XwHTW6q095mENi/IU5ehjqze0QP755fHHuBZgPTZCu3Gek1S7+PmmALTJ232LSOb93kYcW5mdoFydoy9yBTG16AF7DSj+3O5tPe3PfDrzyfjfe02Tyo94HqZ4rPNo/nY+67WO8YFdgaqAjSt1/0zlgzgf46AxAoMnl8aJbi/Ri4+/rRwNaRPwOW7FpHuThwXfm2Nj80P55oPkFu1T9eIl3tDLatlAkcQKTgqxjvMkxB0PbHGCYZ9r3iJ/C1h07NAeRj4bxZtWj6V1scPQZKPHsUNtcELMBrz3w3Hqzo1pZdtgR/qJydOK067HNNrdlGvhKgyg/O4zNLuMoctALxp/t+cFnjg0AwwhBGanwrzgl7pg7HGDl4H9qSINcOdrX7b40M64q3Qjqd/oJsVSrm+nB8bBB19JLvMtFB9s4laPQp4Lhv9jBac4yo4OW5kNYdmw40rB9j3gjDWJglHUXk8G3qU83PZJ4O+qechPoUB0i5Ojm+8YwANqg3Gxn3uHYB9a3FLS3RQo3nONePmn+Bvz7UmDi13uyccOOnDrD2Y7WTHcyXQPLLOc975bK9SWzZ1d5BeS34pDxiAUuVgfKqUwn4Dbip8LGxXounVyl+WkBMv7lPE4fCPwijvPx0+NwaScxtj/lw1gv6DvmyVQcijpMnioPmtfgeAedmFMvd+rm7cjkXXotE8Bu+zkZhQUqQnh1TxuV/YELqZ1voYnZ6n2XsMjWB4D6Yf8tg6k09iwjM2dzMt7OZgQegm09inane5V9sJpf0mYw9mHOJzz95/g753IVpLV+vfVJc4xDwXOy45FTlEn3D34v5Telbjb5kupBuguLA8MBBrLwwUc7vsx0jeQ5y3eGexPgU7wYb9Cwk/Mrf1bQ+bRPxJdBPZrxQX5StG8+x6MxcXIHXZB0EWdT6nx1TNGXZYwdf0vqO3Slwa90OmX0gzTXmuO3WibAzfBwLz1e5vdjP4jMuYnXgiFeXp/WMlAPPJturXm7+FMCZeIlkEeaP7HDroCCRRjOD8M/DI64cc7GTX2s+WKCAaPRgkHFuVNbM/gpXE/Tl3TfjFZwjiE/lzHPE91skhcd+ZrhegUvrZPmOX/n33fp+4m/VPGLPuvRJrUnOQ/w4YXIcvTONvWlBR/ue5+nafZYvvS/I85aD+ESdLi2toe97YCMpBBmALuypZ1NyagDvpEHL+osFgf3JrLpSZ46Jy/o5K91egrE/lpIleC4F0Z4l8/s05UP+EqVZjcpai7q73UouN0j24gO76BUmYIHrxHvLtOoeGzC8Vly8Zlf1w6Wxz6p0ZZ8Dk6FxDAoq04U9XAEz4B1NMuvcnSK16rPsrFNabH4ewctVCuqHpOq4IQFC9C5A5lMSb8dQFrL7xVO20k7Z3R3VZqSVVjOiV6skPVCmomgndJt2sdnwi5d7UWA2JAB3cKcFXt0BmBg1uGDcHVuy/roq5Uymzkhst8uOMxwmnjHoiTPsOJ23lmRINbmtyponOHoDBh09mGeETBtQcGbhg7mnd6apN2c0Bg7Mx6SlCpXugJ7xVfg2RmvV/k986Okn8vAissEOMicclimmrdV9+K3EGhLC8y8yyAs5Q/y7WIdWs4MfXSQU6oWW7GBj87l4ChHec9shuRz2VeJQbRKky6vl7knlQ5urF8i7VyRhynNFHyynfTL0nlkz/Eo2ysplTtt0j8aYy6An+BXGcSKX7kaHQMjpwgv6iB8Un0MyTozWFGGouzP4KBzpzCYH53SBZ+L/Mr0TnjJGc0/pUVK9FaRQpe4E9aj7VDij8z/02NxK/nU6LvmX9Wt/AGCOGwD3pNWC50vw+BFERkegTcQvlfmyGPH7M600lP0u8jkZ5d0tsU351SkNlYOR6w7l1eJXrJolWPBpKfwgi0rA8FYvNomDD3QP19HcyVxQPV42a2NZ3rleQViXgGzr5guKz6PNow0C8Lau2QuZfaL+73Q5xDfbBdbFrRPDuIPdlCwSSXvVK4TT2w7ngn/oi3umo8OJIe6BPLG7suWaYH78XkSKNdp7+B7OWf62s5BuAgzwsmd+/rt8kkeUPdj/EdnC1+zeiIQzlQO4QkuEgJoWmcMStFjet2KP61Pj/+tYNg7J+drPRfxq3SDDPfseH5+j/UfPyZuy4WkJ7hiniqdBhRX/bCqG3x7HHS8S74vfEqc7y57L6H9s3mQ+U3SYKTiI2SfJYuLStmeLUQifFY4L8st7MYrMC6VXOB/SQ+s8EvtfagradtSh8uqOMmXBnLRJs9SYu++iumVCMT+h//wH+Sf/tN/Kv/+3/97ed/73icf+MAH5Bd/8RflIz/yI+WTPumT5A/9oT8kX/EVXyEf/dEfHcp+4zd+o3zTN33TaR3/9b/+V/nET/zEJQ5//a//dfn+7/9++cAHPiAf/dEfLZ/xGZ8hX/VVXyWf8zmf80Lte9nJHamnq8bH0Xit9TjhhsOiPD4KBbLdO1hUnqyCWhrxXUy5bF3mETNZOVRAEXfEdY+TO3UWM6xCIGgeXXVp+IqMXRrt2E1gip/+bj5vtlu2+b4yJ91zWIHeWamAusfxHqzsm3E+dpcql7adOZKMXxPbdZn1Sdgta++Pum0n29Zkv8l02HWxe1ql6ZEnOCa040kDM4Rj6/Me2F25ksIZSpFzvIEwns5EkTNhg/eapHTTQIAoqt1/Ywe9U2jbMV52xyK2D/rwmKtAJ2OX1yYiTKut92Pe0XztHR4MmfFX+cLDbGt/CyI0y20P/VhNzTSz0yrRTUS2Bv1yfGwP3a3UtqBXaEdUmDAQ4xQWob7npHWDeez4YhfbBdRgJzGv3jPwffIlw/PUMLmgHTFvPSZKvFNSDfCKT+m3NtuTHiXMlrDCbmCQBMW2JzDaLP8gsQzc2Ww4ILwmcwfkg9h4lXKlie0CzU49cG2SKIOOekcX7b4P5iKSZrSm33famWsLKHDO0+5Lg6lzIsOx01/kiYK8q7t3FjQaO9ttZ6Q66vS3TD6lc7HtE3fjz8bPupNRDuWhO9g97jd9njC0LekOTYG8gOtcKCBuZTTej6ZJy7fnEu7ddjKRxgJ3DHXAqT0/drxmSeUk3o+Z8ap0Pmr7lHeLz5MGOtvB+7fn4uQC8qVZ8RxX9rTYmNIdgnb/9+BvdpIE06KALFjIycyRwnwT9QzdodueF/yTyiC8QJPahiFkw4K5U347K3V8DXcfA22pI4ED8PYX+tTuqQdGgHrCcSQbyK4B354HTA18bkbnU6A7HoMnExAdGN2PKS+Mvwx96qHbzl/XTfibT37Jdl2FRVlQn0C7uM2Ic6N8izoNf9ypwoGGpjry2hn0lHxaLS7KAo/VrsG7HHsAL3foLcpx/k6/cT5rkT2+DycYQfsweMOwsoDP4XDOdBDoO+ZxUDazVe2RT1tCWcP17ZBfKB/3DeKDOwTFf6/q8G1IeJp4HclUri5uXtsJE6jDhzHWfmwBr0zn1KwZ7sgvjW6B56eOfF4YS/pG1E1zWuijzmkPDd3nNnQalFd0QhQvCEht92all3PoikM0BGOhXaXje+CyPJrc6KDHb1kZ7POKB7XknekZSpSQPSyUbe5UHrdw73bA1pOGsnuGLW09zOX0qGSRcg6LSDx6efRpb0028Ytpl6cbIU8T2sHrdIgexuh0Z3z371Hn1zoFbJBQjoYgLLSD+SjdF6kDqiICNq0LsMAcD8EcEcHFfn3oek6X0PmAeDKc3bLWNII6dGYfiMc5FE/kg/VPmIcerlf04FtRj+nlJDOOuSC5rEUfKNVX1eUBeHrIF0HK0NOLukSkpF2D2wLumb2u+nSKj+KBOvNJ+wKdZ2WyOZDBOdnQYLZTstEidGsBarkIyZUv+oDbiTp/EQg/bRvl38j/5PUOzx8b4YoLcvMKKK/inCzqclcSFbYNwkqvNhCYe2GxYbe/6dHNWKbP+3wdX+GFzQYbYEg+3kwHqZ6GwVjEOclf6iEayEUf7UDML8puHi/anIT1xL5M6n1F0isRiP17f+/vyd/8m3/Tnj/kQz5EPvRDP1R+/ud/Xn7oh35IfuiHfki+/du/Xf7JP/kn8q53vSuF8Za3vCUN1Gp69qxu6t/5O39HvuIrvkKeP38uIiIf9VEfJf/zf/5P+Z7v+R75nu/5HvmGb/gG+cZv/MbHNe61Sl0sKBoCCBWTvyexgLqnTPaJFQ2b/NcruGu19pkC8Jg+EUmVyjJrsRIuU+gcTBZqZ+1QXp0cq5WuwL6Af7pzb6UD2ApVL3SrVY1XVslUDpBZX60sXFEkeL6UOGmeZDxZwehthM2dQnoIQm0PBgzYuZjdRcpHilVHjDk4rfnvHGBiHDlVx1/DijPXv3t3dxjN/KpA57BSxSMR6BPnAunE+MoSf3tRB+6K/gyvRAEvj79jpf31UB6u1FEYOXxPW+WoKheI3JO4L4UUzseC5R3D+veMDyeK9xIPGNPEv5jnNRzz/Kdw7k0t/3u5/nuQKebIPasoFYcAM3tnBTIg1+tz+RN+Usm8NnYohqqA563abcH0ZB4sy17UV1aJHVzur+Hnf1cOleXYyMkcqlKxe/pMZ8zlUsTrMk5JX5eBfq2LA5dXUk/mXdUWbM9Lkndn+hXTgsOHnAex8JAXqmNYX3l9AQ321NHwlMpU6dWX04v29aDXe3eIXgKd7dzhdyvaXd1nqXl6T/vsUnsSffDe+k/zJzw6LMaiutOgdct1tkyPLm098SeSXJITRVrmvSLnNR98u1R/Zq9zHfTOFvQOfmd7x5qILa4mnwAe96mBOadfi19MGW1DQEdtVnTKI81e3A1YBgU4JXJumQo9ZoVDWJhVwVQ7axEgZh9HmNMAI9v5WsFl+NniiLRcr+d+1Y6VXRV4vLT0PfMIkUQeMD8hWsfrSVJ9g8r5oD/WL8OGh129Wb36TueYzN9ZMCvjMykNV7vWEluPv6e/F+mU72Q8mnbHc6DdddNFW3SNI/AX6INT3JEGsB0X7LxLMgGnaWYrp2N7Aq+wa0K6mk/zUJ+9DD01DXCJ149fJF3F8Y3QuauAYfUtB7KwPwgO0pNb1CUX6PQkqf/kUd34yLrd/FjAwLn+Qjb5Vf2edrm/SEKcX3SMXo/0SgRi3/nOd8pv+22/Td797nfLJ33SJ8nb3vY2ERH55V/+Zfnu7/5u+Zqv+Rr5wAc+IF/wBV8g73vf++SjPuqjAozP/MzPlO///u+/u+4f/uEfli//8i+Xh4cH+YIv+AL5G3/jb8hv+S2/RX7u535Ovu7rvk6+8zu/U77pm75JPvmTP1m+6Iu+6AVb+nLSsVvS3+vj7txTha7D2eKSKe2gmMEdZ1qHiMRdXz2Wt08j2JMeyZQE9Y77SKFeNfoe4Ix/3D2ihiEKeIJp74cyN43J/ML0TPF29+zaylCtOze+EUa4x0Db3+E3IW/j97zFdrGBR8o9Bt3C6uebzF0aD9T4FRO+zfE8qtYjdzHTxMfuXWh4/xgoBqi8JEprWHVGA+XGvIPC3WBHkJDAJOHcm9hOUamcHWrjQpme3Luq4xVoceAVDN/WZH/WpUFDw3FjDWAj7el3OpKW7/ZkI6W3JvJsfIb+4nHfb20ea6XOzu0wSAwDXW2XKUHP/OQOq+cZNwE4HPClXau8UiwoRQlcXK3oVpm5nfbUlwNRBzvBe9ajPDBpE/32K+mUgH2987sEPsN8K3zjMR383+idysTGJO+Y/ghXdOjFOwXH822W4R0bdlf0Qknbn6l8EiF2EOadLahgftLavNNTfBnDp/XZ5yBj3Ip5orU+ZBWvyOwwz5riQQotKsHobOhNpOkqejIEMsNb3z/cZGZQXOH3bMO4X1U8TTl8dFh3ORZ6Bb1g5B87UN0q+tF2OzEhSbMPVDarnoE4TjwOGgZ6T+6EdCvodZz6xDXlERzkkZjHVmiS4WX34YIc0rFpO4y7QL8NHSTjF/YeRL8ZaCDvgp6BfF/bTG21Z5V7CzbAsHHXpTmS6b5c/Ma7w/Wb0yG5X0J7kGCPR73H1+5/c/O3Wz2ubtup22yHteqb1tc8l4Totou0hz4XRPO91oit0rHdOQxyXseV5Rbq2NAHTicu8Gsd6/b8isfI6UwiwvccBScjBobBMan0bfyoORSdnmVjMk7zKHW25vvAX2/hA6zqbFKbRm0cy3uFtp/SaaCwWgBZlXP6SLWAj+ovAxuFLnIKc+fnOQHmKQokW03Wt9N6w05h4GN8HyXKdLXR0xOTqkS8Mj2+9ozWVR/CZ6GxB9xTEBwMET924chV6JdGXXXIDm1Qd3lUaAdZDfzeHfm+oIfsdC7jRwgakYN82J7wDnEW4uvVeFB7+lYhP3oJ9Q1TgnzlXWWaCOiok0+7JvSkEQqqsAn8oiuklyT/WJjb4aQpV07tLG2i/kV5kKEI9Iswq9OWMF/fJT8ZzhCReToResKNRwz5gjqydMnmkzysJ6KegmXVq43BuOt9tzynpFsdvAPVlU/4Cd81nO3QtR2/oXBSBwZpO9RpfUoFi/53Ry27Cny+Bgot8t6oB3fjFWUbmnj+sqpbvL7lTtvhKhr8td+T13MdKZ2LxysEV5kv9QaMtbsy6jtSf67zfVHbwzccOuLFfD0RJm6v6ZWT+RcFAaeEz2q/e57bYnsGLKPHtN9b7APu+1FX0CW0n3ihEreF6sbFlsEPoDiTSsJ2UZwjUc9V+6qJmK8p4Ad0xEG4yoflEQvg4osLelp63RmD4iysFxBezj8ody7IpPrRVjU/x6hDWTfaNn6h6BQpYcFTi/eLd6IH1lM8H2i+XGspjfTBE2z3LOlaXKfiPesh/GmXKu66LQOtYcOS7wtbNFDkyXSPlR6mz84uRXFd8Xz99pIWL7xIeiUCsV/6pV+avv+Nv/E3ypd+6ZfKx37sx8of+AN/QH7mZ35Gvvd7v1e+5Eu+5KXV/bVf+7Xy8PAgn/qpnyr/8B/+Q3nLW94iIiIf8zEfI9/xHd8hP/mTPynf933fJ3/mz/wZ+WN/7I/J7ZZ4Y96I1ESO43SP2d+DU6cbMZZ37ejrZBclG5c+A5RlBqx40co6F1hT5oWKtYCiOWBIOxSLcM8jKzwZfpwIL/7m0BsK7MphceXb6kib7PgrETkMCGDsqkQExwgdEV0dO4p0gUeMrgzw8j7aqr+BeaOT0zFDzdpBP4NxtJ2iVpnEvkuUNnVwz2Oeo6Lh8CSnYLpqhgUmBltYKSBlpqlTmtIU3hKFGewu5dXPs5pu3+cuWlC6ujhDbb4DvmB1eG2vtXFwa5ep0AzcnGN4FGHBnzpAK+GHK073bgHg0om6d5FbzJMqW/pOeeA28ccgWDZ+Ntcq2FxPxf9C3j6d8xrcrlYbQz8jXmH+r75hvYNq7t7tIsDfSkUcduchTlq9C9QS72+TN1Y82QVd9pKNjrxKu/P5qBuOCE/GyQXwMl6zUuAwn5aP7HfyHIYD/eaCduB8M37ObXNlZz9Nx0j3R2ZlOCl1LGmX+TQZDCqruZ+uzCPlPawXyITtnBwyx2vpcKExSOc65s34v4gE4wLxUp4q3aPTgdZVHkK9s89aCp9xdnRN9It9kcnZNCW8+ozXoVxvTq87KSMilYFT8V90XDgaGvKsP0vKScLT0XjEI/eV/48FY+Ee2kw1VJkPcteC9KONSJ9pMMFwyvuhYfsTfuSMXhjssi6d1zDezpnd/bjzeLmFTFNJEHP6yewqdpRx+6qjuPwkLdqT5L1M60/ppaXlEbxpAVkK7Hv0ER9Qu1+PEZF10LNKL0JkC73h3hNB7sqvc56P1cXvkrzndPI9u+ZgdQff8d3P7cyR5l9EOJd3G3d6Pvl2zwIOc/KtypjONjSEZBFrrm82hy/LB96dhm0wn0kAC3o8iofHTaUylXoEnWKwKp8Fu9KA8NX6KzqAb3gs+YSVLBRh+Jn+qp94McBi3pX0jLoQjZ2VPeFr7ohjaXHBrMndog/KuUy2X5Uy3arlbcZFsOmO3aIPNW+1mznirvUt0M70tCp/yDvncNC9NL+z35I8hEMIzGq1gyfYznnkCU3sXRnwvkfGXRhul53xeQ2VtpUOinlcqvTM1wjPUm8lXSmlhwqngiZRv7/M509s0kenRf2ncpTynqUrdHAl712B3KtJ5WC5mFEuycmXkh4x1hWfOsvPZdAPy/kelS7qF2nRO+jltU6vRCD2LH3GZ3yG/f6pn/qplwb3/e9/v/zgD/6giIh8zdd8jQVhMf25P/fn5Pu+7/vkJ3/yJ+UHfuAH5LM/+7NfWv0vlIaCZcpUds8TKTZLBdFNnD5X+qEiuBDgl5UzrU9xxNd8/xzjCG0I8IJh5w34yjitdpsdATswfAa+CgdXBVerx9Epe+wQBdjchOReRNslZPVH3C2QUShb6QropG/NyO1knFwZT2WsYxWq3cuTDBU67VWZVG6Id1C4+2xh7JF5mjOad3fZnOB8E1cLKlB/naZCyebVS6a8g9CxgEmyYzpz0uKrLs3uFQq4wNoQVcyzI475fudAG4nBYVm4na25ncghVUoOOnl5p/Go0AluzaPvrygRFNx1jmbjfePvXg88B96d8hD4ja8L+8nGhw1FUlY6vke+rjQ0djSiAW2wxMObAfXm4MRGChOaWLAJ5l8I6HfgS7BCmu/1ND8QLeyZCyeSu9aQRxQKmwXYcaxp9V55H8yA7XY68rHaXa45cLt4/gJ1dcOL3umO0WwVu6iiOvtvZcS13sfpGKMKveOdFV6kmaYysTn6srhvE8+ns6MeESfq1+kAEutn4/VYppM8b/Sd6CAL/i6PZWT+a7uy+V7QLps5qRTwwSucQTHk03Fn12yf7iwISr0ZX759vDChPYDbr5Hcwnwq77GNAnQ8Fl9gQHOD/nGB4JG/MkY69l3rtojE0MQ+bURzO2WCOeyCrYC70p3qBRb0Hujy7nTjy0Yj1AgKOHJfaoCRg8Kc349/1lG0+ljxNyY9+ZN3TkW543YgL1J2X6PVP9oRTuzQaplXKT30buXz4O54n8j8ioZ0JzOO/5wDORzFcQYhmi2swhNXsD1Bzj+l+9KQ5eWCL83WcCHG0AfY/iG+zTw9Oxo3XKOh2UmHqK7iyI6wdPZLm/qGryAFl6ZVv5zubmUZgt/SypJvbchRsh3SBdPELzO45QJp1J3ACGHaOA0gjfocr84CLIZWhBeceXxHG8AxPkA0ZeIGFk8pPo9xwqXyhPC1xVPcXJwbzFehMwIfo1M2urRZ3PJO+g6nZeli/cr2S1JXGVHpZ6PKVOeRKD9RXwzB1SuO1GTHTGqXyaQ5fMf2K9JK8L30mtdMJDxc+92SOcVFM14E5bnsxK+lY2AwxY8x1gUHY+e7b4vnchNHUsdhTyTtwvKFTWb4UwPPTlgog688/0jf5NRAJ/TwszqpHsWD9RAQQfa+i/fB0bfMbxYD5wCf6Nz6Y+sTXmyClWmAp/84XieLbnCeoLzHncN2ahDIAEsoY6gdiJvhwPgCjl62Tj6H/B19cU7Gtfx33WGjnmL+hnZyezCfPcx3mUyau9bFeCCZVQ4O14d502FuIBsLvprBv5JS2wPrHTpBZXOxrYh4XLkuYZVWeR3NEs5T3DKvJFnXZr6pmxSV4uaXBD/Hm1rcWct2+aouhGXtxPmnMr11Rxtp4jpW7XDxmEJvcLw8+lPwRDH0r1qdwEPVX6p5EKdjHEc5iXcpvxHpTRGI/df/+l/b79/+23/7S4P7L//lv7Tff/AP/sE0z7vf/W75iI/4CPmlX/ol+Rf/4l+8OoFYkbWgTRT66m4IO764T8UHV1Ka07sw1HFVmoEuFDg+6tfhpw6XW9yRazt/smOaFB4ppVk94YipnufD9qlyaAHC1uMuXYWFu6+UIQgwigZtwh2MHJzL2iItKHGmaPOuZlb2nHJ0fLAj/+gIUSybKfgsJLgPq8AEJz3mzvTWUWZ/BoHzPsfe2sGAWEGl965OwLU3rCPm1fysQKQKJtc1+hvp1IQIr5QGl4HDz4PzziVsJq+kFgjGPsg0qAqFe/YH5emRD9inMRfsWHOHKHUFjE8zmmvCQdXp3B95nm3g3B/vJD96JIyRfdBOl5xObLEEBPCgThTa4Ui1yoFAfTCDO/oC/rLSogrJqASPX5zzqgc4rdOYUD84hR5w7wlefQSPkSfpMcG3/9cn3oR/SKv5n/HdAc94vB6/xrwsmY8HrbahPEI5qNvJoEHvcXEL/O0En+axvdsj/8V28Hs3t3mu6DuiVTbQjRZ0CjWRBsrrygiSLuNoaBEBJ7jbCcDKOcuXDrhqe4Gf2okSg8DKvoCyVWKejfw3yFfEsfn+tACsO04Z3o3GmtFL/JZlnda9PXTZntOxgg3KyAHPeBeN+fbQx5i0wO9iX3Qr3xPDB4NxOuc1r8qQaYB5/jsrsa4w/TK7okKzOh4iRCswZkzTyIvMKAd4Nta6WIbkbgMYvNsjdYogPSf1Hzy0B1nn5n9GqywXkC+SAZoZq9V3Z0xWQdJ0d0kCR2F0nTeTLlTG4SKO0qhe8XtEDeYUOiaNvh+670sywm13WCJHt8FvgyPtKV1O2RGuV3ZwXYV7FO/lNwe/S7QtZX574bSCkciNU3CLBXWVTrRcqJzV3/xvC1bfgWs2xgzfnUjCsB8x/sFeVF6z5aEtky/i5zDzHSdjKt2G+j4E+Bu1d9mQAe4K/RX9ZLYdyr/gFxnfhs6f8u7WnUxUXd8lWDgZda1mfWMLyU8WWqcLD4Lc078nnQROVifTlmWuwTvLk+rD3Z/E5kjkrClZtaDXpMUXZS69X+TNFquURw0vdezzMUmDvFg3Bu0YHOlpIhKPu23iedHL4P1VOuNtifM+K78MwDb3uK5fx4fb3QhO0q/u3mjk6xJP7HHwOuuTCXwt2lo+NjC/0DZzth3iADws7YdQ8Tlu2pbTBDDC2BLOWV1ZYHDpc1y1rYAfXvdxuhVc12P2hrScH2nd9/AylTtnAbOLyen1GFTD8eRvi5QtUPAVTpkQ8D6hNZ4PPM8q32IImncao8JnvsLhNDm5nPdf6QsdExHxzIKx5vu6SaCjsh0reYzB6FXK5HrJjwgfHhfyhVn9oz3OB/IKpFc2EPurv/qr8j/+x/+Q7/3e75Wv//qvFxGRT/zET5Q/8kf+SJr/x3/8x+VTPuVT5P3vf79s2ybveMc75D3veY985Vd+pXzap31aWuY//af/JCIib3/72+Xtb397mud2u8knfdInyY/+6I/Kj//4j79wu37mZ35GPvCBD9xV5id+4ifCu7lTiT/E8rjbMRiNA9ZlAwXrWDC7zKjH3U9uVREr+h0UNsDRWWNqdCwZwCi7Ty4QHJwJo+Lk614Ydm0qq72148hXLVIKATCwWaEF+BocydtHr+88/uqovruy5WrJvXlnp0homwmzpeJP+Z0QE+csdwGCPgVFBW+lSKXCoNX5UKhfEZZB8MG7sMJHFVc5lKq4wmjCcQqAlUdtUpwSrMdQ95uEXZ+TPtqp4uh3QUAeVuIKvOe7YRboMcO08yxNfe42ck7zlYYZFpsMGEM4Xwr4COVNHVnnfOf0PRkrx89J58bf+zhiORB9UVcyHr2Ju2uTjUaXvffjRIRO72TQwzZ/I4yS7yCZrk72b+LGx+4jhff4zGMZDCqDCTLHMg+e15Ue53ueS25OYT0ifpyS9gYZeZWH4J3NyGeV/2X1sMJM/McFsXYwXLJ7hEEpLx0S1Dbjkxo43w8ayk5h4LoawF7Wie0Tuo+2U/cOnGxxmRoYKp+GIn7Q0oKn6DxjhyK3B+jC+sI6shnvinLAO4zRGRvwgLZVyc3tK4ZGRpcM/0SWHS9zXo4OBrwawMZDYHwG3sFJoHW3BN3AV2H/R/dlU/gmIzI+T/RCNFY5K1JZP+rS7261caKDsDE53w+8ZLHwQhcRDRpnvLDucKf6oh2csnu5snucK3guSAw4GH8CI571suOHuHH+tZJelp3okvG6xc5XoC8R4tPJc16PpOOR2msokkFOpzs2uUyGyoqPBX2haEsvcL2SEt3L6jrRC8IJNuPdcaJEn7I0qTPbLXvZnqeEp+oEez7Ji9/D7qkm03YzvLC8BP2u0tHtGwkA50ys0qhjW/C6ZdJxJPzPyrAc6/Td4TLkddB9UBfEvIBLV3jdV+ICswqG7joMixHH6V3Oh9PifGmt1ztmeIx9QZ/V6Sux/PHMAhVOotDiC9o5TahX006a5vqTcFa8sW6mRZzPvOhhpXZSH/LO5mxnXrrr+WxuCMgEp4MlsFJEqR1BH6N3SrsJ7fFi2RTeWdJ5V+hmRz1Zuea+4a5O14YTPlPCZ/xkwUuQd3DdLXZnOF2QFwAy3k1Sf2KD35zCIqsMd6U1/MttYFxcHWK2wXLRA1ZHNBt0REwsZ7SuzI9e2EBmu8C7K3a94ajZGQaAcf4uxwg8UmXQLUuse2OZXsBe9CWOUSp/7wiq3R2oJLzUXsoCpcyXzZfGtjzW5U4UrHQfQIV0E/TX1cFy5K8TZmk7UplyEW5WB/LTK+2wj4BfFrNhnPA101tmv2W4uncTh+UCLJaVw54P9WB7TvB/PdMrF4j9kA/5EPnVX/3V8P73/J7fI//gH/wD+Q2/4Tek5X72Z39Wfv7nf17e9ra3yS/+4i/K+973Pnnf+94nf/fv/l3583/+z8tf/st/OZT56Z/+aRERecc73rHE6R3veIf86I/+qOV/kfS3/tbfkm/6pm96YTgiQzCqY0uPAWOFWQlf5jGE4nYNjCDs8JbpZLHV572PCTgDgiGdHc0EeDgJGgwqfIAm9D6PFZTkCK2RPxybtYMTh5x91b2BKf67llN4zbXHjuYk54YeqxqCv6SQzNscvaKuu9Lsvlw6HtSClaQ4lmn1rVDWrc4HXZkV+4CFX9/Ejq1Vh1rP6tc6m68+C5bbrutk57BTHjM6y5qr32lVpgUqBJz8QKschGbBqWPQcJdcAxgiU4A2kf3ZyPcgomsY05WKgJ8qn/tQpPEo6H4bAkiDr5vSEdwRrAorBt37hMX95oJvcDy3DDpw9xAlyZyoWwtCXvvO+pCPHRwKk3da1yudHSyFx0c+ZsrMwtAMdaGB3hW/0Z5Au/4okTRYKGI04kqPPjuIsR+BLeaXzfN+5xTAejZqIsqJUaa1Y4735H7s9nzCCztJC2WHv5X359DcsvzbmDajD44j4aG/tS7igWh4Ojp/EB8kwDkJuKOc64MPSz/6ZcKF+pv4+ysNju8PnbvoGGuQ14LLOG4jmKmpjRWy3fGiWr5wMNlkWReR/WjnrnIK8G0Ap4nvU65j4jb7q8vob6BF7HvH6wedZ+LJBdCgfVbXs4Out+ezf60tffYXjof13ZDtSifNZGrOC5QftT1zloogXcxrBRTlPvlOMvdxoVGWJ/QDySzmbZOOOtEi4OHaJenYYvDezdE287V+yPvjG+iZMsupXmDHYdsx0b5devys4SqzTg1QM3zHXxVnSYKx2e535R0cmEJaubWx6330JdMxjlkxP3QOKY0pb7N2WQNIhhE9OJ2P5qTp7M/1GP/ZUNZT9tsci3B3nOIB41A5SrahVzy8deoF2wMtHOzQ19heomEZNDL7NK8U+91o95FBp1c1vUw70SXQEUQkdbYHflDBYbGji0eToCDWkdqQQBP4/WwXlrN9ZM4tmy8PEaar7ywZW14sVFaUQB9n/LNvGYzsnQtYnI0JwsryJjIks6dRV3P3nnOe7DmTbwtcbOER019WRGUd8jcp4ANOwUZt4oONIk6v0HwO/tBhevaN3mGZSh8Wfk1BWINjuq4eMwzzQ2hsgM+and5h3jWxZxGBI+xVB4TA7dA9bZcl085qTHkAgfd7fSWBoe/PWHpYuJwc24ife4ZYDc90Z8E5sBhALJ71zx0iyuHampsTTLPB54G43CsWTVea9MDf2KbL+KLRVwIHT93JgrEK18pVtIA0zzqkwUnKKr8Jdc7vZiM0KlfhkMHJEo1RFgRRXZHrVr7j8oxy+jc7mSlLJqtVL7R5LlNfE3yPDDSXh7hgTnU51f2tHM6prG9cvQAvNIBg99mmlYxEXu39RLOc1ZnQTtwF7h6DryhdZJK0K/AXd22S/mABA3OqkEET71inGyuSjxEAC38f5KrGydmP4WOP+S6mFF+gGZWDdhpHRhNZYE/1BekztmI+AnF6iubv5jCZeChezp4t2oC8PveCUDlezEzwHG4tH/vpl2FfJsDCQHXn65wmb58IxDaw/+AskIy4r7/L/bJNi1pbFzvKX+d079651zx97Md+rPzm3/yb5cM//MPt3Wd/9mfLt3/7t8vHf/zHh/y/43f8DvnWb/1W+S//5b/I//2//1d+7ud+Tn7lV35Fvu/7vk9+9+/+3dJ7l2/+5m+Wb/u2bwtlf+mXfklERD7swz5siZN+1/yvWlre9YAMKREG1epEvfuH8yzrYmaUCbFCQed8+s/BblNBW8Gwsi0yp87vmoR+iQidKFcn+Cy/dd+HZjjiqlUU/okyjAb73WkImnDU8wmTK+85UZgoKAD/oAAldYU8XXzb7+lfUq7TxEoM5836HD8nNBTeOZprc04l88TmHOYb5aKCd5Ewdf5sMIcS/Lo61Jv/t3Keld82mQEKhiky+9l2ashxPKf+g2+nbYPk5vjW4pxPdz61633J5VbpXgfxGS9SsGwYLcrYmJ/wuAMu1d9mWaUNDsLqSQd24sEJT8W54QKF8N3NAXwP48m4VkbPqv7ZhrztR4GEZz2CVNKgIn67WOaKLGoLOWG/QfbgghMLSEpSFvNUpJ3x3IzHXcD/1Djr9M/B6A5fh0fSP2kw8wTHS/jZ70daDhfSPUasyeSeLPp5CcnNrzthu4CxeLrkOjLHgoNxqcLk3UKvSctmNP6Itpcp0ys4y9mczMBeLFM5UtTRX95HCfjqApnAozN+e4YL5C8da0/pUgpO9EwOZqmw25wzuKCbEt6FvKnuKuIXPiK8e+bkRRyCbcpgMtvtSrrCL15Wn5p8XbfF8Ep0/dIXkNq4NEdJ3wjXbazQKXiR4VoW5DIoPCLOIVX2oX5u/l8K54oOuKJTXCDY5nOow+WRuaDT6pqnk4UAhpanq4yc7t+oXPN5V7zd2YJVegwv100DIqFfStlwNp8qucLl4HdG42k9Z20M9r/E35V+n+F7z3uEXbT16okB6HN41CkDCCtb7MH0zqnQRzF/ZpOybct46O7LZb1lQ0aWhL5K+dtwTlJ+bOdJnUe9nveVvBvyZ7rCWX3ctrlA9hqelxOOXQXWybELdeMY4VU7K/mTvHc2DI07Xh9z1AnjsOgHlKfBVr6gI7AfkQPIM2MscyVh8O54kXy3h8irWc/PYAS8Up4QN3+4+lFm3JtWvAznxmJht36vfSnrTg/8h2RGBTcLZAffcoLrKk/mr5vf6DnrE9v0R2MCfYnziQPLZynEI16h9MrtiP3Jn/xJ+/0zP/Mz8l3f9V3yzd/8zfLOd75T/sJf+AvyF//iX3T5v+RLviTAeOtb3yqf93mfJ+95z3vkPe95j/zoj/6ofOM3fqN82Zd9mXzUR33Ua92E1yXZSjQ+Gkx3Gmzd51FlXEDo6uRAxk1wjrrgXROxY2xpR5WIzFX2nRQKq3IlzLrVM1eTjHo2D0fbpis9M6Nq7qTqsX0DB7wf1yY7OBKyAHZImYKTCXTqNyeEncCLlbW9y/Z8fL+N9kt39R1BChhjaJPVQc/u2N9Rd9vn7kmnlC6OHu1t9ltw3CV0gLRRBZCz4Ifr1tAWV8XEX3c/JW1Q+sdVO9k9c7YiVduZKc/aVhHb8eKUI+oD6WJjajBgTk1Hc5s4tnbcY2eFulPQWai7gGQxfulxYjffxraPnfO7zJ21mncTkR3vmGsGo4+7i7bn3cNTPqDle5t91CYdzr7w/I6Nj2M3TrNvGGCYOyL7sXuUV8g1uHt5b0FY645By949/KOSCet49kGOlYLr26G84egfp6SDcnngMfobV6YhnwO6OHYptmMcdp8n4EBB276J393fYz7fF/pSjD+7eTHo3MbJynUpA+8gD+i1a4fd4w194ebDcAp4hxLwBTh+WFce2hzVvJmiSnTpdq4lO33RENM+CcFCqNPJioKWwuIVwBV5Gb7Deu2uUsWXeQbwWKsLdiCz81F5fDgdgNsokB9gG5/ZJiyXV8emz/vOpQ+c4a7ajY6UdicIJGPDuJRHrSaGZhpARt6fySyeJzguMORWFfIe4mOMH/fz0RfKpz0Ma/PMEvQ4xMt0B53HOgSbx9XmAvBVlLGuPczzgOYO/TPpEIKHq7U7sLLU4aU4oEyD1LqIPPjVwM65LRFf/IY0YjR3E+EFVpo3IhCfg5Nf4Tt5ScVIx9oeqL6M52J50H+svBxt2XHldBvyUnFobZ6OgnK1Qd81oTyzDSgf8F5ZliHVncpPiRLwFE3BwZocVe+uJgDbgnURd80N5ZnAJi7pTkyqz5VDXoq49SHXq52ng9dfWazq2rJwhCntGu5oR8GpMZhw5+7ksVDPaCPbddmudbPVMPDN+ofIvOsraWOmh4axhvpsDLCu1KkWX5XOYeTxhl+uZzm5RKcTYRuCvc/1LdBBPQx1JNT9XHnmx5mOU8jYzOHs8uAzyB/VIY9haFOuUll7l9SjC2lEZJ4QonfNDvvM7pSlHVpzl1DsYN2Fe1TVfb8wz+BBIL2JF1tlxwUHm1d61IWgfHWEJe/C8XqWh4c0ksFaBX7PAhqB9k/yB/8T6gWOhpkZiZvHvY2T8RbwDR/kw0Vb3SKt5vkj2mv4XMqDcrbOvmK/je1GS/gT67TuGeUfzB3lh7ib1Msy6hb9Tv1sOIrkfZsxJ9bpiHd0hDn6+pQvDz7I8zD4rJCmN7ZTmsHphHsTcadIBfjcbvF5evI+2P/cX8ijO+WB306vpLFwc7iLv9qG8Qd9NqtPZPJKTocvDTpLy3Y6dn3QcJCReiodnCKzCkhV9o+rR9sEsHpSprzKxTIqTj4PwkQZbu1h3PhvIdeDP0/69Ltw2UHXqZ+UFwCHdjF/Ovqij5Mive8Dxo1kjqFK8y5eP9akDG5iHsTH2hnlYObDCPBP/AhpQLXAkQO4q/cr2p1+h3i6k5UfA61zCO1IEbG4lMFc6Qmvc3rlArGY3v72t8tXf/VXy2d91mfJu971LvlLf+kvyTvf+U75w3/4D18q/yEf8iHyV/7KX5HP/dzPlV/+5V+W9773vfJH/+gfte8f8REfISIi//t//+8lHP2u+V8kfeVXfqX88T/+x+8q8xM/8RPyBV/wBZfyBuYJiljMLJT5vjzpCqkKRqV4XEx4vKS9I6O9LMuB2jMc70LspJ4K5pW+z+p6yXzjRVcoroxrTa5r2RFX0WYB80rWCuaVes6EZfx4Dq/huHVxgiQIJFIYTcF2v0m4DhOnbF/zw5Q6LopyVsc4xoudWRbo02Cqa0MzR3goJ/NIYzveGMqZQXKWEMfi91Tmmgsc2buRxwxR7mMygFZ0hGOLzuIAJy2LR+42cYtWEIb2UwFQ+zNzYrq+Dsos9AU6DEGZEYSNtEp9MKvM82UB6nAsC/W7g53ZmG3Nz4w/X6GtRkptAHZSvsThcfna4luagsJdfE/k8mN4cqlfAJ+7p+2VoyI64ZIxygzmVf4lMvo3NyivJmt/IcPjEZw1nPnAQKZhwQbeEqcraTHvYt4m6Bh+YZWlML7tM/ASPBL6ctvuwWGBx4ofsjNZ5LwvVzqM6RQ0F5b4IS5XxlHpqZhfhg87Oxu8h3cTv+bL35O03SpXEe4jefKrmF5rO9El4knlccAn5VLnfJfTgOaqrnvvar18KlCGe5Uvwet4eaGOVeL5eyFVR3mGqovjoV0g/UJyNm2iU6wCJJpwwc7rkiqe+Frwh5M2oYx9rP25ymtBNnKMBwdn0n4sf2ScecxO6BKCZfguWyDgAg8kkzi4tfSDmM0SbQOWqWfPHq4zUOK3arfOCR9yDnCs5xFpqZvxeK1oOx33xE/F+dri25XvVUI5c+W4dc3Li8WF+odhuG9JBQvdapWH81b2aAqr3VfHvQmDjMfzBH7XyQwJXrm9nXXiCdxKR7V5fnzrWZ4M1ov0H9gL9gp1yT77rQ6cR75UVhf0aC9Xz3j/kqedlFvi8cj6Tu1HHuuCTzg5ltka7Y62FzzXaKuAn8O6UN0d41H11yUYSoeyPiHwkt/gjrRcNHHCU2rfWfxwFoS9lIaMjsHtOj22X152eqUDsZre+c53yrvf/W75gR/4Afnbf/tvXw7Eioi8613vst/vf//73beP+7iPExGR//7f//sShn7X/C+S3v72t8vb3/72F4ZTHZMwV3ZAHn1O7t60v+bgoG9Qx1wVSrtx9e4vOL6Cj7Xxu3BrBaG34z5Ky66rjh9IEUOle2uA4/zAK5ZFJO4gHriiQG47rnqDO8kSw51Xbq+Cvr3YlWi7nVyxabg6hacfBrYawPuz5nacZDvosH771LtfrYjj1MSvou5gmDm8p6Q9tTmSAKwT1KCk+hWN2i5tw0k9mKeLbHuEq99c3oY0O/M64al46N+m80Gsr/g+Qk0Vw48rlMT1h01NVUgSGCicexORHUJ0jB+SGRk12GbFw+6h7XI4U4AXcBua7UbwtNybiNzGHXLoLBjw2j530YiIOZBwZ+O804j4CbYF5gs7m3prIrcedku679rvyLv0GfBaHmlm/dFc/1odiDKu2lK8FL2xgzXc2TvmprvvCXdFQF1ud6gcPOOY883mt+PFA87+TMcK5uDItj8DJMXTitZlBuEDnozQZh06NKF/Qlc6eCib9m2OMa+snPgQoHYA6xyMh7TfRFp1p4iCSe6K1fnjxgFoiQOd1i6478Phie0WOe6Q3ukdJxyL5tto4wnvbDGI7WSXsVChzbYR/2D4jk+Scy4EYYmPHgs7gGYGnrZjGHg+83D3V+au9baLbIOOeUcS9jvXEfl1j+9tDs4rG47gH9yz2fzfapW0gazGU/nvM4LDeRBnEdE7xh2/SNqHQSzceezgIYytifRuu4kPGMQfSb+0fCiPH+bvIw/wdaJZrN/wAJqzdnB+fmYezXOjifRnuUzDMuossp2wjr/Nb431MIWXrDTOFhV06FOrPtvhhyLmRL9oyTus04F2OHX/XvEznux3KLnx0J0EXG9liIPu43ClucSyJGvDmz29LDuxStUi1stBzzFWV3ciu4CqlkUdDeWLK7iuP+BcoaO8Pvu+aELYOepoc/Zh2NGKpypJd/ZruNqBG6l6mZZlnHbJjwOH8i5A0+K4Bn3xVrSnqkIDwgTf2cOg9xz+As+Mgl4h+Dx4q55qpapywmecHlLRo9adfK74PqptLlip70kWMYylPBnlOz3PArkMMr05wYedtKGvutfHj1OOZMp3zTOy72MndtidjqeTBcWCZZcqIElblMZ1caSCSPxDmd4zScbrkBOOhD7F+u3vcv7Hd5W8m4XyuVPRgOJ2uugz0xWJDmZdOm/mnb/Yr5k/h+Ec5WCMmJdkPBt1Q31OeB7js0yoryVF5jdPB5luXdqY5K/EvK1L4GthAUNSBweYKjsqo9FGz1k9LmmdeBJbF8efUpwBvtPBJOkr4LG4aJx9Yp4nEZyVujBwz3R89n/No4Jb4A3WtGR8eN42KoN9Nk9Zom6gNlofUF2YoQwINd8/uJiD6VrrznwFBgvgnNFn+W6D0+0sA+3SBfu45Gsk/+qFMXK0Ue3qLB8tkOFdxql9ldFxxrO4HpFpR2N53DE8/q4W+4Q29zgfSt3DSK8L+sx9W7KBzATWpONAngXt4TeHY3bqQJUKXJxvB/RYPB0OUyVrU9ksPXxb6mG953i+zulNEYgVEXnHO94hIseq35eVPuVTPkVEjiOQP/CBD8hv+k2/KeR5eHiQ//yf/7OIiPzO3/k7X1rdL5yIdqLS7d+nAZhMQdZPq92mTaRLkw2VZGWgDLNkrIrCDFymx1CZYpLkYXhZPSvlNgFVHksFynB6HPIKB/2GfxGVZPVyMO4RDx1rDaZA+Spg6QI3vBJrU4eyx5f72rUZmKkSV7i827WHFTLFgbQ2/U1l2am6Ctrotw2PB8U6CF6lsARHsMyyc1ECI7BQOCjfPQmVUXZaqOKNztEKCQdHSIFxTlddjNC8coSOKf25zVdtaNLRwTfqJGeMO04Rj8XSckDbbhcmDEqYq4M/saGpR5xnR0liniZ9Lppw8+AIRLi6i4FM+VShpLvjwSivHhHtg1LN5v3R/kIhAoPhoPPRNgzCNk8TfoezzOCfTFpxNA9Bfxe4EzmOOdsPRdLghX5K8M4Sz7WBf3vAY0hzRXxWVtQX4K7rx6AYKtaOh2Lf63MiG23OMKo2l7Nv/mUmo81JmsGU+M3woSBslsfBAl6YBZWszYG3dg8HcWqgU1Bdl+B3+IdJ+wmuI2DjY+IXy6MMQ/7fsjzEm5epkjsCMlWDTtwPCV44JgafcYB5z9cTLFGlflnOXxzPlvepy274tjAe9r3asWIIShj7pdNU69PvoJc4mlbHCPabLiaA+8yz+oPDQHKdhh1hhhstCkiDEJiUlxf12jMuMsxS8R7lTconFGemU8LDjedKpwLnCLYHDfqn9BJTxi+yxLR6T7pT/71aNrUlXyTdi2c5Z7yOevWY5FVa7nJq9PcF07I/CzpwPL8levoiZQ7eF7GrruzcrZEp3hU61GPrcLz86hyExPK+DMqCvKv6NMLyio7qPao3VLums6ONDSddzCwt0obpT/6bBW0TXSgLXIdnlsuZ7rpIl+2Vl50qffye8pTSk5OKss6e5jFeBXUTPpT6tezjAu8WaboKVsU66V2in2X051A7qaPEWxZ00/z3QIcLPpDSLeZvwJqT9q7uha3wNT/yHd/TYN0V3aGwW+7ii1fnDOIzbCKnl0vRJwUvuppSmCYvySZJyl7i349IuV3xIkpbkSo/GfR9OXdQVrr3GS86jiuuF7v0FJeMvxjIx3THY3Tml9nvVZ89MtliOXrHv18vubkckzPfwRuY3jSBWN3Neu/xwP/23/5b+/0Jn/AJ7tvnfu7n2u9//s//ufzJP/knQ/l/82/+jfzSL/2SiIh83ud93l11v5Yp7G5MVsxLE+l7xlAhD/6Fb07pUmWBBE7pACehdldqoNynGgJktUCwNwb4nsVKITQ4uMOp1DBmWdz9muGGO3SDk/VB5i4pLIr39w7mFnYYKbw+31fHu7iAbJPgbA27bBMa4ZWqwbG/+fe2igp3/rIxyAE6VfETwe/vnPWCElfkmFHYfDnsJ8Mlaye1jZ9Lgxae7W5muN/Ygk8ZGW/+fYCX4JUGUblZRoPH905Bh+Nd3haj8V3mPaq8Ek6oPU2iETTGSuuqHPC9HfUIGYN2P22DZ73/NdnliDtr3V1G0qITYPRJOLYN+sXmidHTRN7d/dVqHmC4445r3MmzzznPO1cRJ6vHwfH1rfhN900ROy4ax2TAxIBwv7VB033SEcK1gG3z/AnonQNzR7lIS+z0OTN8vEOzwfskP/bBBVmEfIiD0/rduk37EOc4yRnjU83DEBG3A5FX1PKR0Dhvl7jbA31keexgFx0nvn5WsLvC6wVrHW1mWhNBeTdIHPoR7xXC4LaNC92vd+AAcysxBIKhBTTmFtbgjnla9duHIm/4wIkbbPie0lwnGV0kvp8oG9fMAcnvOFCLNMt3YLvAN/UTB54z51iKi6545rZC4emYJWEM89G+reb6tggwEo/JkRbTSwxmG6drCOo5U1Yobo0WGlkfJvQQeLM+4FxD2UN8v1khaBvVqTt009XbGlymVciZLlbRaBsLbWz+AtxwfCXMrznnZ19OPpnQo4hkO59e1OH06zVVV6gMd9Xxu7qTXMROcvBAATbRqsEuHG9hYavjKYNGSC8LYGDXFt9N7+AWPDnchzpwzlK2KDANrCYytgzAUlX1yUozbzgxhWF1OXTdref9BryJ6y7tXJGgU4d6kYdwHxS6qvsmWr5H3Vhh064Y5q3uOcljzwnOga9kuDbgY5UMXHzLFrE4OU39irI3OyHBwUQdVh+VT4vCOu62K1MDvSdJDv9E+TadwexNX5fthulitpqIOHuo9S4dYSc7mwMbonlcbiaAAKKXrcBnVF/YffuCzczqhuubWH2Kj+Gf0Eap7yQ8MdXBmjg7UmQssm0+n8rYMTZ25/aDDBqMp7rZ4uQm03ZXeFv07ZwGzHveB6obmE0iScrmU4t1Mtman6SAae3bqJzqa7vX30QKPp/Ma8OnF/3U/HOT2T+pnYHvH2YdGb/J2rr6Nuvr9nBJPjM/Qjmc0IPyVWxnXATa8jZRH2f2iZ3sg7TWxU4ntIWSJ7p7qn9ze9WOlDgX0P/h2keq12sRyAp1G+7FfbSI0Cqt5HvIO5HQU5esaMd+9gilPqLk9B4DVsgAB4M3BwnSBndIEdgFWOY3VRpK+FDkhUcfuPe00z/qegsBU+jU9qpLKF8uOBCgk+7px+pKfPRCNC8yT1p0daodmtl/wX+T3/Pu3gmN3dhYhDBsnr/B6Q0PxD48PMi2bdIWzsD3vve98u/+3b8TEZHf+3t/r73vvS/L/eqv/qp83dd9nYiIfPiHf7j8vt/3+9z3/+//+//k3e9+t/zgD/6gfNu3fZt88Rd/sbzlLW9xeb7lW75FRER+62/9rfKe97znrra9Zgl3LYmIPMDdhiIw6Y/3lRHiHBp61CMfWYSBHDakV0KwMPCsXPHerRRe2QhkdKfwUdjLVEYD7E5lJMmT4OoeKQjpjsGqGCjAMqPkQXfkzTG5snq6OhbSVbNYLa6GtxouIZBLgSsXTCblAfEx+AsnxVH/LO8Vk6LTVBBQfaxgcRlUblGwZUY7ClD/AcqTYrekAwWj8xNgceUugMNluRwpuSLTuW7jB4ZCEOhGp1qmO5joGM8CAmz8y61JB8Fprr2kTBcZwdj53c3TdvRpFtCcz6OfW0Lf0CnuuLRBPEznWN6OvtUduc/0Wy8XVMxjlQlf6HdzTmBbeEy0Xdxf2LTdf3NwsJyIO5K9j52qc6exL9tvaGxP/NCIMP6EgSIzXjy94PEqHExQJa1je3lXqcKG8iGIAX1QGvoFrMxwc/yAF5VoPTrnO7EpGmvZRdo22zhpwtMg9jEbgQdeta7j6gV+tgry3XM02JHf9wseU7vCpz3MMXZ4AgwMnLXx3/6sWR4RpDFg/AoSdw0y70+CDtbyBmwe6PCgk+boV+/BdkeiSiFTkoTOBJQVok4eLou04dqa03tqjBQ6iDtanxYF8fFMs31Hx4T28kpTpgl1mGwtjIWyYifPC3pz40YpONS0j2le2k+UY0nfH/IqBgEwAMDHNI3ecbg7R7ghS31AfIWNXcujdKnZgTbYKYd9aX2cJTzhwDmwPe2gExRp1/g91jlQ3fEagS5+gZ62T/VKdLCyDNMyu0R6Rvye0n2JaQLZUafB1J/s2MnGI6tnBUOzUdCEny/fc8dy8yXsPk2rUbhLnn+BMGlei0Bbk7bESk6eReaCxKSupZ37EtJpHyA5RFG9DuIg/WVkBToF89mr6SpvYTmc8tyCf2U2YpBd3esQAc54dnaD4gHlff6W14ftWeEuFVwoYqpuJmTFdDoLcqGc2NvkR3LHnOv+ubznuHo33s9do+d5UjxGnnL3IfPQVV+iXco4wNxGnwO2ne2YcqE/4y9yLORAwiI4ely6OxIZAmUOY5bvTr+UQ5+ghagub6UfMrxVncn75TxXXZnbT7hg0DDobqtUzL0K/1Cc+iLMXXjI6KgOKBX4iP9+6L/17upsAUzJy+k5zZtUEwKale2rcyTBy9WNNkJR58r+zb5dfefwANpi/9sl2iJYXPddujPCYN1kJUPwfdAHEaEmGmRrmpfzuAbUqGKfVW1MbeezoO8dp60sdReXsfnfSVA4tevPYOHJYwVeK/wyH/qy/jMdfYw9LsSfi3E9Am5suM9RVsia9qp3r0IAVtPJHovXPv23//bf5NM+7dPkO7/zO+X973//4cCHb9/yLd8in//5ny+9d/noj/5o+dN/+k/b9x/4gR+Q3//7f79813d9l/zUT/2Uvf/gBz8o733ve+WzPuuz5Ed+5EdEROTrv/7r5W1ve1uo/6/+1b8qt9tNfuzHfky++Iu/2O6D/fmf/3n5yq/8Svln/+yfiYjIt37rt8rttrqY5XVMuPvuIVHMhhAJR9Cy0tFIKDOzhDTv44t1uftqM4FJwuLYETb+Yb2oRJIRokHCLB2r7rBxUN5NvO76ZqmcczpRGhC/FzH6zaG8Q5/r2em6y/ISIMC5+3/advzHY2t1kdJ+7JYT3x/KMOFePv1t71hhUKWWhQavxtJVLOgw1Oyq8I55sD2Hvl8o8dyPDftHvBK9SkthxrTMNI0CjRW+UJH/h4oBGgcd2sbjx3hzm335ZitZnfLR2vxmgURob9Jv5sDdWsDN3hktJP9kzK1R74F/J/iKS5uOeBtrKjt4jubdnx3/csX+eN9v4x+2G473NfzaAYvnR3pfrSoj2ufJfLIxCXOnuXy6gxX7cmU04kkBqXIIhoqN1QmPVNrZb7PPhcZtmRK5YfUSL9OFIitDtyE9Ot43Ybs5pbwqoeFKGTXaIFhYv4iYlmV1PIhsz30bsJy2KRgxyLscjTT3zzkNErqzflT5a3ylS5Dvmpf7hWQ29l22GGbqGzkMww3mrGs7FoO8mtxYu7z+t6MVwDH0t8HTBui9szMIqzSPZTAZrSW4Hj9EmGZmnh7bD3yeE9J5SsesE2Wy0WDMuueYHrI50+f46NyQVKbDClQ3P11DRHDlquNlV9hIRnfUvio461BO5h/jYbrNgBOMvM7PXZyhOtrp5owhwA2DvzCXMsMS/wY+WbTV8iO/CDJ+jmMmZzJj35wg7fi9Pcx//iSF2TeB/+6+Hdlce0qPSAU9VPbko+DDfMmuenGLP4G/ZLsxWc7FBXleLqD9dCW5XauVLOQyJ/bYEs6CD2U73YKeEeZbr/mGiA/QbASvR1wrOgiy+mxxNsBz/1hvID5byTmzMZFfEe/Td6gXZDZPhbM/dWOWQxt35aC3gFrBWzkv8urQLsI56MSrxPIT5ccmkX9r/k3E2XyaP7ExHB0Bjpk9Ok/S8f/2Wxs2TAs4sp2lNpb6IqZ9Bv9u3NYW/iH9oo057d826761Q4/Xf8inGL625SZwfVRdh2vzgK99wfgGmxPtDx3vm/83+6voA+7Dkdfx7q2RHUz/blkeoBcbl3aMNfoXWvY8f097F2UB0VnGM4Cej7x+XLEvJSnH8yToYDzPgl1G5ewD/NPipS5M9WJdUA5tmDDXZbYzk6dZPzocKnxAhiuNxz738FivZvs81dG5WzrBTfqNdy5bfaRHKhz7tveoi0O6gruzHd0CVXpOGyexzwMSxXeUoZmvOIOFeF3Fb5GQ3qN/F2Bk80JxAVi8cHONmwdY2SWGA+W9HKSDfgr+V5sHc145/NTeQxrnxbDJGKQ2GvjLvd7Tw7crPm3GidsnAnx8i98Y1vGDP1CZUjeeMSL3ekF/Tl7gv9Ee14f7GTG9vukN3xErIvJjP/Zj8uVf/uUiIvLWt75VPvIjP1L+z//5P/Irv/IrlucTPuET5B//438sH/uxH2vveu/y3ve+V9773veKiMiHfuiHyod/+IfLL/zCL8gHP/hBERHZtk3+7J/9s/K1X/u1ad2f+ZmfKd/xHd8hX/EVXyHf/d3fLd/93d8tb3vb2+QXfuEXLCj8Dd/wDfJFX/RFr0nbH52G4cRM2Rzo+h8JTi8UhwCVeZSbc9qwUQOrat1dHYqL+LocurpqsCffBxz7ns0REjhmFN4OxbztXdrzBBfCx+Ew8uiKPr2EnhOvILNjm1DG6hEuZiR26/9wj8re3CXVscIBI+xCHXAeZjDJ9Q0Zh9VKcD5uxgTnyToDDJ5pf1n9isquu2n93b+7cpo2FSBejcsXeKcKYcfyx/NxF2yXbexS3J+NnRvihzooJ+1wCDrFj+aIlVV4bY5xpZRoe0Tv7aU55Yr1iCfCcYILyk8l0q945VWviqvirwGYYNQ036ddRFqH46JYceqT/oNQw8C5E7zaid0Ch+3hqLBhv3Nn4MpdU6Ln0XO9iTsqz3Z4kTKwPR87WS2ICm0aR09hoNYMbc0y6HKX5lZlG96q/I/vpbAfcFWZwcBOIKkGedz7JhoYsR2svfl8YBB4JQSUqEbwZNLHMZfGZ5QrMuEqjkf/NCcXXF7AqUw6EbRf1bB76Em7RtshyBvmbaEM9ibuCC0OqBgsmJitize0+5xvyLuyuo0P78fCcpMLNz/3kGZ1Hm8P8Z3xEd59DQ002lPa0iNBQQ6nd3fxVCa+GBwAKjfheGzrCz6mTNtKcPE0BuzjlQPd3Sed6AwY/PGrTed3p5DbCstZju+S5l0NKg+PoPrgqczDAg+E8omugTSg/WK0p/BI9nAAztGL0orRAZVTOYwLoLrIccyu9kGb7bDTC/qEgQnlsz5D/izv0RdKX8rL4Nsi2D0bozDjcVHI+7B/cFxcAHL0ySHre46HiNNX3GKT3lPa5Tqc3tPlVP/Ctij+GGRwckLf793ao7gpLugsbxgYBSfoviHMaRgHXstKDNWtfRnm6WkgK8pR6zdsa5xKT2mR3C4x4wOYofitqdFfgGtZ3KID+Ivw+Jnr4Lxazyb59RJka7krWS7QiPXLY2lKZXuGH+eD/A4/lg8qd7H9ze8WTqtAXq+Ltx/EdA/OU/V1ZtOH4EUm01bogex2xzwn/K0ngHAPYhPP+xqymQ55MjQy3Rplj9bBelFVFgtxe0jehTaxjO7+Gwc00vLwPZODDMeBURkiIs45PJ5XcjUc08iO6C5TBzB5So3QK1uIBkzfdXpFE0cAonkmEuj/uLyAXUFyuSbSO1xpA3P2LOCBRzBXOq0LkFXwWO/AhfKZL4jrSHwD6S7lltNI5ysskE57s4D6QQde9isgTw+5Xi77mN8gk/ho6ICcwuR3lAwmXCGR0ltSTfCBZHDhudH31dwPsKp3Sm+gN6Ypq4PfOQZ6R7kkaSA9+Kv0eybj1LRYizFPJivdQWlIPB5OX+9FfYN3cMAq2gUy7deEnzu/CKV0/EnPMDjWkAW9rMZF+a9Mff8spfIjEZxsZ9jcSNIxD1q4YmUVjJv2VpvfL+B/FG55/1fvMxCom4nc1c8sN8sxZ7jQz5md6BLb3qjjnMxVXnyQZ2pz3EZ9c/7O9pZkuejmM/y0PoST9kGCc1WPyZLj4dAzrtLT65Te8EDsx33cx8k/+kf/SL7/+79ffuRHfkR++qd/Wn72Z39WbrebfPzHf7z8rt/1u+TzP//z5U/8iT8hH/qhH+rKfuqnfqr8tb/21+SHf/iH5T/+x/8oP/uzPyv/63/9L/mwD/sw+eRP/mT5rM/6LPlTf+pPyad+6qcucfiyL/sy+fRP/3T5tm/7NvlX/+pfyQc+8AF5+9vfLu9617vkq77qq+RzPudzXssueHnphLiCUAkZQMicVdVacJA4HK5MuHtS5Qwg5fsxcGawao00BmT5mN/0SGBWyJWJFc7vK+fwu7YOZSzsfGTjgIS9Byg5TotUrnYR30dpmQSfAK/7e0nVEMO8amynNN29IuPquYcBszK3KqtzR2qBz4KlVePSi/FgJbKLOTPMiIdv+Dc6G7pgsNTaMPAKCkRiZMxhu3OyY9BjPB9j3LkqV+dhJHoDypzMbvFFSxUFPEKK+Z85KTYbyLXwvzBvwk4BwBtxQKOtU37O636Tcmc0inUJjY9TqvQvNbTB6uQryQwqtGBmY5zSFxoKz8EQWKh7yWt2MoU8oz8Mt5VRVyVqR8vaiNn9RHHD44K9KHtxTl5NhH/lqE13WjIc/BvKJ31c4ZrweWsj4RrqzPBj3kcBr8pRWN39Mh+YGYjNk5Lv0/gH/HlKIT9e0JrxAtBHOufHOVToceGZ+ILwOIp/nnTNmc4nyWW+cTHvG2I0gQ5yyRHkdpLl/IDfOf15wKpk36qfgowAeWKOEiK4Sq/helrSPnx/Ba+SZjJ6k0MvKXlpkQJfekp1svmfH6lpeUQCz516yVq+uBOC7lK6Fwnqv/vUocfI07Msi+tWTvF7DK2aXjoLW7DppIvTRbmrMqDTlTpYIn+y62+qOzrxewiW39k/IVC6aJvpIXfAXQY+ra8yAPFVJk9Wi3uvyj8LWFY4KI+sdPAmXvenfEufkeQ2l8/bTBZkdo00mYtZEzmEOAU92vIA3UkPwUexMoM3FbIpXRTVxC+4F4m+lwK2HXF8T0AYeO3x2ANuqY3Jv4XGc/EuKx/IpPvxUzUIA1ViCz+TejGQmMDOUmrzwre7dcREZ6ryrHT1K6LN+ipZYFHltXxI2xluWTmu4xKjq/DJ54mz2e7pe1R5tU0XeX2gJeWdys9x0wDyQarTlbX33MFUbwIrJLOzdMDB7uSdsYuFLQ4ePnb/d9l3d/jET+eOs3OgyntkNPDt+c73y2ruu6ou6PqBJ5zu9G2n+dLxooWt/Pt4QXhkc+aeOTT6jX3IpZ2agXhRlZx38RapGide7IB9eRY0X/H70O9vhO/gEekND8S+9a1vlS/8wi+UL/zCL7y77Md8zMfIV3/1V78UPD790z9d/v7f//svBdbrkfhIX001AxBhh6QaQLaLaZTpIuGuWAebGHNEDgT4A0m8DDd4DjtnRx3HjhNxeGob5HlURtmBaM4Au98LFAxV4Elh0mOf2VHcpR3tAnzcDiTqAwcX2wljOJWIOR6Gh+3Y6g522/vRng47bCvFUo14MATUOPc7Z2i8qD2641V3A1kfCtzpRwaI9mVIzd+9kq0q623seE3yNH0eOzD3Z+M9rXiZwTpS1iTCnbj5/s+UOVOEGijlfNxoqgyAkeK7I1Wg3eozaEPbjuzbg86zJo2UfQzOYZC1Q/syY8l2Td48PGsKlOlQhh3VVufu65R+jGvfRPZtFmhdbAckrsIyI28bdKHHKo08mzTbmXfU0cbcmIqSNPHHEDesA5qYLcjAnVYjrx3fVezCMvrEuvCIjL3DWHhFEO86NPwFxsQp/HNcx6Mbt67lu7h7GnF13Oj9UbfM45igPYyHb/DEdcKL7zThN3uHedugJ5QFSHNZ8Exmn/NuY5Gxo3nA3Z77tqVGMii5InPemfOJjiXtTbyDBkFpm7pnA/ZeoNzA51gYIMa3dA5x32mZ7bm4vsJTG3D3U7WQZr/FPnUGhr7DLCoHErhZEDOQDe4W6FQG5ZGALNmP0w+O39AH4uvjfrLFKkpHTeYq/5Fve5hyR1qzXRrMK2bdfS7gWCWcn0AL9oxZES/EPcmb6X4ZX+KjuhDMvNd8jAHs+khPWAB4hgP1zaXkCAlxyee20/+4HNFZVkdB9lFXkLETXbodte50ipRPEQzmB8r7B73glQ0Ih+9Gm7RKO3QTOWu73m0cu2wPY1e15eH+68duk97txAcDq3KYeKmr/yaBJqfTfM5XoxFsl4g4o1t1OumO3pkvoX6o7bf3T2mdVLbgwlHQM7L8lg/zi5fBvCj3CDp43qq/LSgB8qmsl9PZGFNbMj0hCxZiebOJGcaqnyp0Txb3urxobzBa2ekVA6d+O3h2V0WCxwzkgvF2ZobGfz0uIuv+slOkqG94wfCZXFD73tqgRWlupwFRPrVnMUYpj8j0UM5XyTfghwHXRAdlZ6nZcsNWQT1iGdjlPi30VlefAJ4qb6iOnf0IQv2b4aXyqsf5jDbGYYMdMpBxExF3qkqoa0Rbpi0PdgH0t7MbE3xmXQPv3gJtLWkEdawqIQ0O3bBvIrLjQuCWjl/gOy1pTza22fzIZK2IqF5oeuIq9e7sWAwIsj1rtuRof+YvnPYCdXL3/X4WlOJvXagPCj4Q+qkldZ2k037nfMiT9XmM4+mCNqC7YK8nuLOOmsFmO607P0I+YdKFV0y/Ce1x4oUn6TAtxgNPO2O/mJVTvrvTd8VToJ3Kf5N+Y19W+h6+9yZ2MpvyOpGBizTbFao6rmtX0eaVnyXtu9GnakdUaRW0w/lc8kKkw9Fe58Oq5DbzoitBN2m+v5hPAz7W74SDs6foHR9bWyPjHzmvjWumJ3UJbQhjwDqTiPCmJG2Dbvg5nf8JDWT9JoLzhdrgbLQu6I91umqyOzgkhAO4OP8mjXmQaW5etjwPVrmaW3zyxxuU7jyw4ym9qilTjk9TInhDADNbKZQIrRKPO1K5uo/rDXX6u21Wxwuf4pAYoJdTlT1hiivY3sFxXm0Yw8JgT+tKVnSWOF3pwjbxz49e1DuC9PkEXCL8zLDtefm1MO1miKRzpqC7SwI6GDyLMlx1ktcJCFKse1vjFYIaDDcTYAkuqPjXyEf4WXChhNfmP1aY4hHKTdwdMmd4QjvRQZ6Os8JuEv7FXaOEU4C1Uj71X5OgDAwc2PFzxTAN9SX5XB8uxsh/iHVl8zedU6t0R9s0X7gb7rHpCp5n1ZzBqMaIaN3R5L1NC4p4Yh28IMyXmoAnLekNdRN+Jjj2/IIpM8Yvl5EFP+J58TL69yW0N/ShoKHaU5q8KrdPq27UR+5jzw21e+pc5C3p7t6EfZP0o3OanemGj6menRyKE7+j/Pp70jvzDBYMGaw7EO8e17LfEz7w0ufNU6ptisfYkG9gqu4zf6G0ovVOz69BSk9WyvI9FoeTMXXXm4CdldWPxz9f6ffLuhvUebecWeQPjnuq52799YKMmZUTDq9Duke+uSBaYc9V/cO2FetB4bfaOCu8yV6cuHmbiXEO9XF7WP8ucC71k3bhnyjcFt4d8Fto38Qp3uW5xHfxjvsDU+hDanvIy79H+SpdsWdYbwn4v97y5wprKvLcPa95/E8rjvVk5djusLpey/5MdfiLZV+E/yY4BH37deS3wUZBG+YFdYa77R95RP5700qWr+wLl8/beaGKK+/vpOvH+KjuLXtXey7sCs5glPMl8d9e5jN34PF6JYfLFR6R6Hbu2yuY3vAdsU/pccntHG2DvgrlX3/PHYwiuiLOdlYOOGElS5ejHvetcPaqPdYluddp1J1GhmTWj+8YPsKhY91QudX22D2UcPRw23LjUQ/W0Tt0/Mojb4gH3PRd89/YcWz9jzs8eecUHH3D95G4O8ma3kMpfqet3a86XtwWRnKisPFOXezb3uTYUdegDzmZwy3n+hxk7g2GXcvySs1kx6FzQtqRtk2y8+xnfR3qgDIiLrDXRJwyi4IvGDzQltlGLyQn3LUkDEEaokNnrABc3QHqVmBLUqZJvM/OgPk26qrCvvl7P3OaOf66/hn5ER6W67d5TYuhqrzs1oRpNsDGMgoajkPS/LhSD3ff6c43G6ONApPc1yLSxnEyjEMXsaOYsh2tlfF07NCcbe3YHuxfXemtr9hZB/3SqQ63S1kVMq0HCB77TGFXQRcrRg5dnM+9Tb6LfTn7G2AB30zrSuZbwIXmmvS5kz7FV/ti7C7m3dyOH+AcxISLAYj/IpwMZ7ew5WEc6Yayg3amuFXAMJ7crmpnpt7d1HZai4t9rzD0geaA4o5l3f26NLaB/3URuw92i2PbReH1tJ0H3XbjEwEfhdN8fxke0gUXyVh/NPGywsr7jjEeVJ2UIJNH+fvcI8+QNk8CSB3ECBT6VGnVwWN6ANw5b6hr/DbZLiL91qX3duhPbfaTwwNhwVicOQxU78TdGU5mdegm7X68sgHKu/tbq7oQv00CXfUm/hQLmXmtjdb2OaaoTwvq4XRX7Pwtpn8YHRGv0N1I0aFzwOLFVTivjC7bsTN+nrbQIv9FOKAPzPGDnbCIhuPVfh4ZbNeJc/6UjgA8qjJbHa/9hqdiiIgdhQny+yldSDb+njbT3ySbq/fBDgD+zPqrA7PYfcPPbrFt4HfzUNQyQIk4DZh48hGWdccqY7Dx3oR9p78T3m6PV44YPt3BlsPgHU3ZDttwOhLqIF1EdzGzfXiamsc7XewNOPhyJDZ7MtfR/pOKz8Rn5lusiyIe7i/AQ35sJI+qRDIWqGej/qj4V8H4gBrRdKpnYEGVPRmMVuCdtNNgyqyvcx2V3pjRd4/50KYUOcZcxc6sq/ny5CdQW0dETL93wUw9yaW4R93SLrKNnd+Z7V/SSxfRHd6Gs7R0jDK7K6SFHM1oz7UH+d0wvNFfEOjR+hSOUCV5rvkR36Db0Nw48nSX1/dXpD3XTqDHlKZsfOPJepfuC8/mvxTzyj4Cbtm4En4B1mK8HT0oX8BTSAZvNhj0zOPboD4+1abJ4M1nog5kgcNVf4KYNp8Otxf4ROA1uwS6YtjYttCnPc8/33U/Zqy+cN08N6AOpkGcK86GJPh4YpHytZCnShk+9O0sub4P+lT9bYUfngqp7TLeapkKHpulIk/KH9XO0e9w8kIVsLR5kew6PTIoHot6Fyn4pDQBT5z0swCeLZSlU4T8d/G6Adnahht/b7O/LO/JjmUoNv0rYSFvd3nZh1359vkEB5/J0xHrfiVMTq/hosp70tOO2Ddj0mNVVjtIs+eVMqHZrq4yTgTVaWKcEVbKXCfsdDUtCXBbzbvAzeBUAhrhIm4rPrlBuxZ94Y7KUKdcFZTtxViIr6vf1nWe4ZTlzYzmDvSDR5kslUhJ2kA0mDqGz44LwHHHcmF3dxR0S2FaCMwMtitWGQ5XyiQ4LIONDegc30E5FnQK195p+TN+AHOPYWTlsC5WUF3gpfnfmZJX4sdloY4ML+uT0WY9nnbpGOCU4O125Lr+b1MpbPQtw4vaWjqssW1A99G5IHm/AYx0LLKsyp8yHljQPDu3OFiDSZ0h1W57R7vEl/g+2tQgSviTU8qhD1z+Bc4h0bjxvwBntFlwnGyencPHpO9csHGBc6c+XPI7qiPFi8rG0zUyJHK5hjwvBFGDkZvAPakz12H6lB+wC7Mso3nHHG9FW9JEY5jyaK1XxAceON9V2+GqAUnfmZ+c4brkWZAuG7LZmFflmVZO6rrqvMA2hbnV8nxZfzGuSNteP5FD79lyRy3PBcOjwTuD1d07Jy+dvtXdGKaywAJS8zkb78tjC/C8s6smoMqhxekKDT4lSlfH7SWm9GSDhNe6x+yUmSDbH9mYpcx8QaLCuWz8pGJOCzxWnprHNvvee3az+i7U/eg+vLddF3bXpHICZf+qzkLXvYbbyfc3Ce9iWzRLpR68KOMrKd4xnEQ3jrp3i2Wy91A2k0WsNwf9viXfEpnKNmHop0THD+0yG7PlcpNPPAoLW+o6snRv/jM/QZkY7pIvn9R7R30vLV9WlG2WjA+8jLY8suyZryg8E/9czecr9hrCTcvS71Cs0EXT4BvZa1kQ9gpul1PmU3hEujcA+FrBvUe/xrwrefzKJDgp8VJa9YXzTb0Ggv2KrpLVn8q1/Lfzi1T1F3BSNGA+rvo4ztmp01UB9aqeN1N62hH7Zkx6vv6lVSXJK9xdgcszIP+pMrR6r4KHFUvE2TmEjvrsHliAzyuTXVAIHEutd5EHUjh1x6/0UJ7viJ3d0KG8r9vwThRmDRQs74rFvNJEgyK2C2ifdUqDu7FGO3Xl9va8e8Nc63ZKxtEutyvN7h8c7YIdolWadyk0198cPDHHcRfbiSxd4rZHdhDiOxlM9KEfMoPyohNTBNrTRDLl8JQhY5BZALb+NVrWlWt+5VTHOogmjuLNynpc5k6jYHzofLhpH3dbLpMGm4TbXtzlgfMMkRTxK9+x3/vcOarPbkeU/k3G1O6/09WbFxwRVvbBt9cWG3SfH3GvDF7mP5vujt9aRAnGwgW3GCa8DPd6mfIyK2ane7gnF3heeQ8Y4kj8wNUjRGst6f82YaZG1SjjimROO+pAdiT0JnNndaMhVFbf58raKpg4x7gbr8PTHWx8IMCcBYwYz97EVhmnwY8rjko/1KMgyC3l682/nwGkPu/LgXtgHZ2BzLGxJF6j9RpKAN/xauD/ky8M2ZgEgcL9qFwpzP0d4epn4ifYrszYxjvKe4N8Y7cOoxHmIdO+iAjcMTnlSLdyjj8jPx/PLF/QEAm7e0Z/mR6gcxrnOsgybGsDfLobTN9fS6f81cQ8RSbONl9Hv6OeYGSk80bfgXwJgwR4ZzsXUY5pMNPx3ubz6Jj0JnNhbPOwwhxCmsx2eia7w9yzwnG6YLyDt6G8RPjAb6wt4USBwRRbk91273p4rvdGu+LOPo+Tm7vIB4YeEhwQFGw1XiIenyAv2uRh1l/4l4Y+c3q7e0VtV8Eo+tCFV0IL4/mUHp8yOskS8C7k1/ZNkt+V/OB3NpZ9zHMWykkx0+Oj7uvsvk7vH7xSki5S6hFuCArrY3FSAuYxezPRT6q7WPHEo3T3MePMqYvZtY5XkC4x7amx37ySM0k9y0XDrGckO54r3NlZrn6CQ17WRDrlecTL7C7zJTRfxuEmJrvtWaScKyx3smCA63fSM1btSfl4Qmel/ixTrqNu5UiIebbCRBxa0Q9QPj2diUGb3kHfuT+LFO6pl+bqc4FI1BPwdxdpu9d7j6EBnXHroZ3zG9MyoSSkk+juVCdbvUztcDIGykjDMYw52bLcf6ontPm5DLryseSOXmieUD+m9mslk1HnI9wd/yQ6Z7pL26H8zunXCW/Xx2puKbjR784nwPkzugP41oQGbc5w53c410i3NR9bl2inbfAecED8lsGT0IZE7xPquxP+hQlxDzTCMg35KMta1EXcnbC0Y3e0wWztZBwr/4PBrBpneEz9NPA9rgcXS0qc6/kuQEPFw6xob4VwBjfpi2qeaRsOe60d+Ba+OISH53Exnz8L2GZ0i3K+oa856T+2ZxxvSxLyS5Gk3x2SOa7HyyaprZjM25Uts6KpDB/vA+sBhtIbnpTQm8xTvKCKgBfMu+yEkkx2sc8jwOM2FTxnfSR2tzyBL2X62CuSngKxv1ZSwpT1OTjIMC9OgEwoiqQGrsicgM4YR0NDpgKUrYJmRywrZL016bfBrPB4OoSrCleXFEdXp5Zvyfsknx2v8hDb749CRgV2fal96dxXhUm6tduOjBvB2u359H5q0PZM8bVjmoFZBqaYlc8UMcfEmzvqT4PQbRcLvjWFk9JU/OYCYKZA9qOddGyfP9p0KgLm0G4yFaOKodNzCPQK4INSCfMPGJVC17rIBgEzc3wOYKyQB8W2kQJwRZg0GGMQeCb06XhJVCJR6W/jb1BUQCHEvkEnDzrVZ0MlCkeZc9naB1qAKnrKB9ruA0u9ddn2ccwn8UAOLG/7oWS4eUN92qHPtb+43cZTcQd+pUgqawQerH2w7VAHtFULclAJ8ZMuIkRXSKuu/9vkO6jwaZ5U0VX+a0ERUOSSNmF5y6dtwj6F/hMq79oHfWf5i91mNhbUvzy2aFwExTLT7VbfAhL1c9sP3Hd3bKnY8aG869j4l+ZDeiY+hHPcGQ6u7+bc5v5uIgevbUnfKh1xe1b8XCIcdGAEGE4H6KG84mfHk0J9CjdzPJoj0FcxCntDoUuv5TIDyPhvi9+1LfszOt53YyecxOOsmZf0WUWnukL9VYL5mKHt4AGdqkw32UF5tXswYLaTTmJyZGuy3zyPsjzYFjxWCtEH3mNoJDSrBV0/6jwpnKDMuzLHlQYA5vP4PgLM7qhkknO6yAEXIrJhbvPtNue6ORcITy8bmuEX+qbYDWPd1KHc6KMdZSPkS/t+0T6UE/aqiegCtbQ9KrP2o+12/LDOge6POpt8MhO+T+lR6Qo/oRTssavwlIH0PF/mUF3CqT5XcJDvZOXpPZ/KUeF2Wh88v4w7Z9VGLI8bxv6t2vkaJbMFk3rDQrETmYY6a88AgjO8DMKSjpXJg+NFC++d3TbwzHhy6nhkWSRJfvxO+uvEKzYb23HJTnzMN9bvCn3P3jWQ2ydwlkEQKMPy3X1uCeoo71j/pTpRf3biVVpOawqG+iN8F5RvEPSFd0dGoF0Z9E0OZZtLi5TZYYhf1pK03weOZUBCgG4Hbj3LdJJOxx5wCbaiFM8nNMz5kB8s64f86fezRHwYFx1alrM50A45xMHmMv8FnMxfQGXYDjkF1XwZs7Ocfk/PF3hRqVfrT+CdfJ1AXPwc8Qu2CPH8JW3IzMvB2ExXvfskCphfbj4bwlLrXCfyNKSVv7SBPp6VE9DpCc6VtLLBfD1agCcOP2uZWE9qey7wsn73giHV5473npefJRe4POu3e8f0JGVy2HCq6oH2sf7jeYZvC+o4Z3MqzvlFAQo0u2uolpW8pE58wfQUiH2zJ1IQsu9BUbyHP3YJAj8NriLcRCgu69VJjUqyVgc7Ol0buL5EwT4EXq/LS6LQQB6+OyjL4/AUam/V32qkbPNvWPi9z4IY7Ax1jGyrFcnqvlajfONdG04A5n1hsPhoj7RSVGboGzDt8CkRcrxbTr/ZM/RTFgxNhVqb39BAmvh7pm5lVsfnlY78dqyoZeG5ENStDxS6Hz/Xr0WbwvhBMgMQDQF7N5XVzAntcJMEjwqvBY0g3iIyd16hAGbFXWkdjZJi5X66m4/7XOu6sstswTe9Ux3us6Oj0p1iXuzgvOqYYwdbCOAIfEM8CiWXDYfWe9h1mwZKoXxEMn+ftXdlBKox1x5EZOvHPcIGH5x5Wt/KwOuO7Mo2qYHngtiN8jNo2hXab00ettGXdroA1U072gLMi4ZDCG42wEdQ2Z/5ehO3Y9S1r0MeMiLToG+GH/Est+MNy+yJgef4b97hpRNwkSz43QDZTK+wAl6FQMPYy07963Ue6+6C91genCswpxkXgbypoV/x74Tus4UVuDNWxqkMgT8Sfhb0BloNiwn2LptTKKCewZ/Q6Aqni2D7s2ec94o7Bt1HCvoPlheSbVX/4nzcF3qTwhy7XY/5JpEvZrwv0WGyBQxLHYfyuLt0TMcCnilz/NEJXDpqAb7tImIyB5qwoIa1v4fMtqsWdpWXODyl+xLrU9n31Xsnh7r77XadOoZ5AjPQ/oS7DMIaecDdf1Su2oXpvjkZOe8wF0F5l+Ph7qeFHTklr4e+t+CpeFxDmepZQerCo0SHDbsGVYfRxT9hrhb93ea3bGH28uSqBWznJF/oVb7QkY+d6CtHZq6bdtErBnxmrzPh3xUPWjqSF7IhfV/o0mdzl4OxDq9Edmb2R4pTlSfTpZO6Utsc8cjwg7Jh0RLl1/IpLpi3eXgZrvhuBpFalNkS25v1EYJw5fSDwuUgbbWIKmtXRhMteQ1tYP11FYzF8c8W9TpcsHhiG1Tke09a2aFlOhvnqhjirPl1oVymj13FAevO+jDYAsRTif8prpan4hct5g1ZBmzrl21mcrL+Ij8MbbNMJ981D9dFz2FBoWD7PJPKbJSUP2UyfPTn0n+S+TMSfMvy4cMa92z8mV4zHDBNW20ufMxsiGDbQ1lbVDD4GC64DPhdkfMZfkWKviuP55xfgNMVHRXqxwUnVseKxtHHC4uLLYA5ND/TWwwGCygpbVLF7WUks81aQT8X0/TxRCJf6gEuIxJ18++5r7CYTBpd0dqrZks+BWLfxMmtQqYdo/a9geDULCqwwtEuUJ4VDBTauEuVDaiLxmPanq05xQGPp7LdoePIVt2pobtljl1uzZVrD90b0k3M+EUHvu5mmArnYWjiO4en7hRbHRGNcCiQ229zh+fq2KvtuRcY1gdCAVFwWoVdsk382OMuOp79Hb4rGoCny6dixBkOEo9q5SpGfrfLhu/1BdyxzoBrn+4XbLcKTTYYbPxTBbrPPCoHtfs3EXRKinjBbwJMZApZNnASAbQSSuq4PnYRHc7JrThK2sHh3bfwW4W+C6IIjFmvx222E5rCPIMDTNrPTYLgY2Ow7T0erQg0b3XTuHXlR6g8at2Kz23WnwaWB104voLtAt6GBkqmaLv7V/V9wQPD3dLKSzL6JL5uR8d1Xx/YCvMd1GEBLzZWoH02B+CIKJtbEGjsIsYjU0Wx+3HLApmpkas8kcq1h8Hrb02eD96lQZV0YYD1F3bKzOv6LTnqqGud4xi//myUKXbmmgMX6tK820OT9ry7Oab3FetO2Q0D351hT/zC8cVJm7WMzg0bSz4yrsUdjNgGNzY494HeKgMbaVhPNtAdkceueZJhSGt9niTgeFb371DpZocQ8wwXGNQdtnC8vQXuoA02F/SxJ9+onTgOSN/lHfC9TdhO5sB8K4JxTfQ0AMqXzEWRnHaCIU+0a0dPoUxVOgJeOY/TPZ6zwHp7mESEBqg5MNSIJ/6H42tjL7BzFhkf83gc6zHHwk4sxQ+PlA6r40Y/sIzsHl4m1w29dlw5ofLd2u7gxQUwXJ/1CTQ3OkZhN7b156jz2XT6si5j8w6OZOSdG5kTyHarJqe0KB66+zwcyzzg7HKMlekDTflkfZyjtvUpPSIVcqxcUMpyB/jM8ljgIoW6En3HZFESADxzpoUjKZknhQIS24j42NxDfjzamSBS2YZZ+wI82+kuwa5a2VmW38k7kj+sG15N1VhQ/3BSGbrKo/lEEtlB352MmSz73MEWZFLkI4F/O/oc/In1DccH59+ge6DeS7iGAGGSSuciwK9OMEv1RdN9CPeULxAeHfQbpuesnNFO/M5jx4FXa00il3VhbulHQDxwThR9yWPlaC456jXk4/fwO/SNgNqi45EF+Yry3K7Uds36BMce80OfuECd1pHhUvR5sMlO5jbC4kAgH6+NvkJcqO7wemxK4ODpWKf2PfR52VaedwoOF7Qwj878tQucsY4SD5Z3ZAvg/Jt6ZnM8rpzvgEdZ94WU+XzCN/gebAdFM9FfXYYKTdJ3Mv2Tgz/8zQfbYlnmoQwn+BOTVMlClivZc5r6QqaS3o/3UrO/BetI/ZwS86WJbQDEZdF3mCfI2GzuAhxno7rJke8OPvNThPYMe+dM73G+sAROzN/9X1mPudJ04PkFLmudO9Zn/VUXm+1LdmRXfRjagT6BcYJVPWEazcs3Lj0FYt+sSZWQzBjSRw00uhWePZ9ElTAKSmlBtJUSxLIHBYqo8hmPfgirrUGrxbP+jwxtLexR+XYKHWrKed0Z3Na73X16ZvA4o6iCpd8uKiYKN3t31/1xGUNF3JOjMDlPhnNYHe++Ja9JccoEZs6E80HPhZ7/dir4qFys+6QYGhK06ro83iOBcewemYGpDOeVYtbhtyS/PaDYP1W+F0lBESLekAU4UzTAgDjRDWw81NhlQ88ZdDwXs34nvsbHPaNinStPmjeZKw15I7VXJs9wzi0u69peH6EXDBJ45+Bz8QS3sv/RbkvkASuY7p5QrHvMJXYSBP5BdWO7Kvp2xhu2rQkF6zzdqWPJHANBXib9UHVUk3BMLRvGInKJx69ornwe75hvlIZYRhNLpMQCrmfXCGT8yl7x+FO+0Ge0SEZkyI6Af09huCwLGjJef9IR0/HYxtyUwHNSOSkSeJDnldcYcxXAC/AzuMm4MzzLSjJ2GloCdAZjY06oUWch79w72gGV0aqNdQOEBg4OR8crWoRX7dwXEV2Uxs61zIBE+nFB0oB3/p5h4bzIvmNfugCOycPmaJ/pIcMja1PtcCjKFXAnTaC8gB23F+n8Kb3kBDxqZdOEYpn+kcmihV7q6mQeHXQR4O0Ms4nZkg5eS2QS6qaEZxnsOkl3Bz5XCXVXCLSuTohxV3LIHJusLdlRx/btjrYHmep4KuAhKyXyYl3Z8exU1zINPnMlKIpwSxnFOzhI7w04cvmB01Gkmf5Y6mWIFumij7bbaH6d9gvNm3twDXbZFfTSHdpaOeCE+aXHPAVeGHTO9PoyIC/1e26vZlnq7S3K2NCGRXkLylWLvAocS3xOZH2mE15NIUgZdM4TmcL6iST8hXTAqq4cQY9npTulRSsdFerWzRa8ASL9fYKj8yeIp72gA2cwEpoPTajm7FUCqPBgfbEDSJyXRX9UtsmK95ovo9DbL+ufPO/JrxFw6FF+2XuJ/ZPZn03iN7aVL8s1KH86R9jGrmy3hdrIPNW1c6U3Ncgz7Om7/brEU89lXJ4hthfslkXZK/iWWWABs8HiXaRSt4vnj/dZedy7EmNyasgy8W5qqsumiuniEzbagPYXfAWV/C19fOAzuHcuvFbpKRD7ZkybHDtdnsskvOKuUL1zVGQy+XC3q6ZE8VkqO6yQOYWRZlgbytPYuWi7m5ovZ3ix8Bg7KcLEaTJX/5o2S3jJrF/vw9ufHYC35/OdK9/Ejr/MdsaGY/Na7CvccSsiwQhWA1pkGgeY0tXi7Rj7wHToSEwPaPYTBrDd6uoGsLlsH33nBGWsyB+DHBVl2+UGsPs2xZTdqzeCGqisKDxzJFqd4voTP2LgzZyeuiPIxsTvEHT4nSnpfeJnc2qfRyGqQd9vQ3ZoXwqtHCvaMmmddpFk7aV3WhZ3lVnRTCHvCe4y+8/6E3euEf5BQaR+5/6zbw/j7j3dIcrtszbFIzKRz/SRJ6trIunxzXYa2AKE3X+zBHnMcaB3GD9Qn91gB5RomT7hdpHWJh/EUw7KABjQnLZ5GpWj/3SuWV+A4kF8sdqZq/f+hfr5d4uftC6nJGV8T++w1SawIkX9LLjTY/SBM8h4PunfQbtdfB7Dk1a6dxGTs3rntdIzn7zQb0121qTwvuTBc/qzNo8xTdJ+ayI3oGHtJ+QFbe48dA6Vgk9x8NYF2bu4OWz8YD/uL8Z8pVzRuvrcnax0EwJxe7KbkOSY9Fn3fDdoV5EAPWa3ndETjjpAnQN41KN8JtAAj3/FO2D+4P3O+v3g9S2FY/xGV8Juosx20qjMOo5pDLyCcNnteO4upXOAxkjf2aP2h4ifr1a+T56vfAE6rw25IRtoL9Yfc57oqSVVvx+7L9scNyf/Zl0iMvS1bnPR3TmKpzsMnVFpxGif5Yxgu5t/zuQbyyBJkhp7LaEBI6Dh8C+OSkb55D+Ip0Pk/YbUhGnyd+Tp7Zir237sNu1bc3LB6b3UntVJJ5ljrwMtNDzRg/Qf5f1tH83bRB7e0uY4WkMFCvi+vcd5/+s9XQ4kMu+v+rjHPFiH2zFeASFZcHYFjl/Q0F2ZDLbZP4EXdskncZGMZvmqFsDB5E2xc1Qk7nTNcACZLAL8AHWpwZODPcdJdQaSgSkdKA/mO2arfgq8evRFMdZOr1Dek/CD+UDze6GPOLoYfwPePYJwiz4u0EOms/ogwgII8MHMpyGsw8ghN9owdPSEAnTi21+VBcn4cl0h4EXfWod21q3xOAjMsyIFPR/GiPXS4yWW9VeRHDAazD+Zsq7YOZ75Bvi71evkZ8THwRSR1TxmOndzyvimh8N2TJfYv3PXZM3LDjnfJ3zsd547m0TexfgyfNZBmvg5cJHHYkApS0Yf3dM2y4sQ0Gvd/H6Zr8I9c3mh78yvEOFOf7GOlG5agIVH1jNcXECk8zPURfMrZYFX9aVk8ju+x3OCdTwBHLlO5uuAF/qahOEAIpUeM/1tUGRBv8hPzdeACfxjqxQC1on6qvOYcTUYt0kHyn9VVhgvS07mOpWRik+Qpy3Kq4LHOZyFeONqwWTW70xDGS7ZKRWc1JYatqDjIUG+xt2s+ttOlwJf9Wq8nezo4vmK4wmRJ0067+6ZcT1A99geho8nMgEu5b2zcOKKw4k3OyBucLWU+lkYnqtiISu0TG9ic8uVSfhFNv/UTp4+FN/eil4mMhcF02uY7tk/95RepcTC/iRdMbp19+yVe3km4KpC/+1sl2mAXTHtlZK7gP+Y1ctZOu2fF4SdvrtY3aWdUnRk1RUc7slzuvL9znSPc80x8DuGuzJGy7oL+JdW1ySKZ1YXB4crWHelxbgf3wuFBwRkEL6PnFZ5H2SC3Bta6Q5/ewAYTQ3DCoH4aipRE0bMVIA7mTc+OL3I22aeNN/ZmJMifpdzGnUTXgl3LywFmSmN8C11Yi34fIrHPXOX35/MLVwwwUaOM6CD4k3gMqXWvtU0zCk1tHjOIq6L+RmCGAUfnJmonuTv3emsnOM1PjPTzxU80FBa0XNmXF1OF+hT05XxxD7O2uyquiiDriaWAZrUYHvZKTha7kkXy62czx6Z6n3zbednkRc27i7NK5iz6gRxOFGAvid8IQ0CcN4XSAc/yvRa/3f1+xR+8vspvVgKO3TO5nrC85YLfV8kpbRzzS6rbKRQFh2eK3gndZ7Zndkx3VfgniaUX9XCxA7/LiS9ZifdPVu8vzsNfE7n8h1VvZZ8AWXyS6+nzQVtL8yLH4HfVVmM+Vw/MG9eybQMv6We0wm+z3zJb7KQN1f76u7xWdj/rJe4dwl/XQWFs3oPmC3aUffQ1ov4IipbaVWkotu+4K2V71AIVvL7Ubr+St9HWZWMPdqQYbyprwKPzcq8pJTRNNNMbwX9Z3gs/LaZDVcujCCYxgcy3rGggyo5vfuRfr5LuIusx4z74N6xvSd/trsx4YcvJN+4LVf1ji5i1+KEPmn38V4GnfHaO1NlH18tG+2v2o50/DrB9R6fhflxL+psl8Y+gXWlT0s6b3me2c4O/6A/X4HA6r3paUfsmzHtItsHVWKIoPM2Wz1suxlZ8SJmeNw72Nx7Xn2lOzpEZOa9RcXY1Y0MYixz0F0/fvUQ5GWDeaU0dvquyg/uXNpl7HCC+1012W6hQymaO9a6ey9NrKwdJxoE1tEGvLPW+pKPhAF4VhabZcfjocQQd4+rORb6wOs2n48+8PWJiNu9Z/lcAKv5cQCl1+5iLQwug0UM1fUl4qNt6BKF0BDYx+o02p1ndO3rqlYH2s/EEbMKFk2Y3Xb96M6uPujp6Pvu6j9QP1aHtefaL4A+zkFS0m3Vmx45off00mr4ynjEVXN6D+WseOaz1cK6Sr4N4Nweq6C5v/M+PeUHs35elaXvgrFpsOE98I3WxXYlolMJd/lve5f9piviYKfYqM/GRHfkdIlDjf3vdgJJ2CWubbPfNh5t7m6V+S7Ah13KTeZ73a1k/SFi6+DawD9zMMyjtmDeat3bcYq67sRMWJaTEWioh1WswG/Czk4cG9jl6u6BFqKnKintgANxrsjT+lFBnThnzhVtR5hfMts378IWPx+xbkUHd8IOfqj0uX0Q6B/qlj7ueAbcEK/GuzCYfwOcsDvGKaHQZzJ2l/bYN6FdKEtE5g5+hc/3bWuxB+QDRMMIW7xstbmd4aU/u/9rwSaQE9tzP2ZquIUEPA3rtrsvYU4bKvpMdBh2HK1oWueSZkM8ZOLBPNnNP8TF+gHayfy4wqctPjHtIP1Csl3yagTD7lIugyt9u+3enXVge40/JfM35R3Kw0c/4M5xw+tZk/bQ7VSIXbyMdm2v+kV3quH8oNXNPYGb6Rl+vs0Hzts6oNe9TGsPU2/mXe7HHO1ORzccbzQ+PM9Az9B3qMu4Y5kTnoh1Od2axrPB7+z9nuLOAq8H+fKaRlt+jSbb8ZQqBbIMBqb2pg3uok49DanahUmp3PE0eGBwQnf6u0omV5BBi50M477dm3rRRqrbvcr6G/NBO23sMrnFu2sXcn65i5bzPsS8joao7CpVC0CuBOOcPgDvssUdpUzHT0G/k8nzq3awDKjyqT7E3y/QKS92usLiWpfjxJAm8bSYrD4nOwi/rD+pbBfgwwDPwQHcgh6jOJf9XNc94U76y4JSLZuLPLZAP7YTb6tpJMWFdLnQhoqeWOdZ0R3AWe3+P+PBgeeTeiai+hjw3AtzvPJhhfxdJNztajAS/LOmJnTj5cV4p+OZ+MecL6DSTRNdMdVfqj7Vq214ByPQKn8zHx0u1HF01ADGRDDlqyd8IwuEpLYzylyR4KNNg7FXZGdPsoH+iThlfIrfZfTDfCf6EmP5qd/7vKp7BhoIfU/3YhZ8wNFOqhcU8DJcjZ600xLaAHiXk+pGUvO4aVd0g6150S7jNnMe6b7j1f+a2k9J4DKVdUG3Gfip7XbaAVLaNUw/ZfmVblOx8h77sz79qkNsYNEiGEuDCWWmbxp2gLfm7VJRvte8LqQ6KcKTeMII284iktrMiseEP8qjr6PJ0HmaxxlwqBLrWG9UetoR+yZM4Y7UNFN8FVYNd/oXCmCdInbXVCq4W85MMqaIE6p4H1JizJzuLIO/7OhkGIi/9RPio0IEhAkqUlmyY041O6woThVbbkJ55Ma11cfOOHJKwwXGg2Ua9hMoZYuy6Uq5JDl4C+WNje4q8F8a7vCNYZ0mKz8FgjMqicZ82T4CgOvjrlaOzTKpwpXOuylty7Fo87viwHedunbS7rTwPhG2WD5tj+HQoFz3yk1Gc1mbiZb4bs8UDtBENgZ91X8JHq4vi2/pO25bwlvu2omu76tj6rA6N0Z4TDLhhLit4Lj+TQwB+m1ZL42vdrCADPGaZcpTEC7wg2C0AYyzfrOAzxb72QVGu/LsvN0u6DEMb+YviE9jmr1Ia8FgqNoIMFf9gIGXyrEaUKAgi+KVll3IOMPN+GuZ1deTjHk6B6FMONqv4NWZsZ8q+oiHPnO7IKBdyYGUni7IjDO9BeFzWaYHR38rx+CVurL2KNyz1c/QlxZYbPANZVHGhxa6J+tacW4n8Bg9x9uoEbqjNttZGwBJpF0oV9HDoSe0HD8IslZ8Y+Ka4Iy4COsME36Kc9IX5pRMdvNye63Ni/F7Sj4Fh8cJyVm5F3RYLE/sUb56gVe8Luk1oKXX5SQl0oteZJfqlROWXu/k+HdmV7yOtFPx/UrPW8EJtpbIo+dC5fS8rCNlv6+mRZkSr6Tc1f7L6LuzbCiS84dd6OczX8asVAvIaR9yMCfDj//dhQP/pnf3wuX+9HJ5weMyO+ye+i7Q9GN43VnQbr5M3l2oDvXjqDs3/03rwXz0XNpZYLdmNtsVe/ax6dTP95L4TuQfRYDnxCY65S2Xec8dMF+HdJk/3Zn3NL0E2rpCP15exA4vx6DFPC+trwob/mXOtYDzJTvxQv88gs7f0FTpVTYGVxjyq9IYn552xL4JU6fV6yKghBSCOgRKK4He6VnL3+TgBJwP80iLDIjgGK5N4n2kCpqYTLUar7o7KKzi69OoxN2k+rfPBqS4TzgJ80uUZyv3kHxLytouW5mri21FU5IwGGG7Gbkv9Z0qJk1shSzfwXs4/+n+TaQbqLd1sR1CuDLKrUSUee+rKeq6oyMRhLjbquHz2HGKjna3IxKUXEA5FTB4N1QTOe6k47ygzK5SbwI787T9+K3N9nSxVT9ZEFBX71ROeenznlduXnsQaQ0WZeDctF1SUitKhVCzewx7Pl4HzTTBYCzfXxSRHX90PoapADRJArftXTYB2pWEn7VJP9pv5nzHnYhbE+d4pvs+GZ4L3CDPoJ2jbhet1kNtDuUXdMq7HV0e2J0+8/QwVw2eK6xzsr4/yernscQs2sdQZn/mx2V/1qUBH+tS0JP2DXfJ4hjBJkAHA4byQjvhQFHT9t0Ifhs7xgkvtwtVJk31rR07jG/i7mdxK56fjWLAr9ou0jt3mH/s7di92p6LG3/HX4AWm8jkw9vAZz923bo7SjcJ1boVg4CLyqvMmDUemx2jmMieDA7eEdu6y2o44DczNnDXFu4wAT6H5es7USAb4ghlQ/BT56rAXMcTKUBmoCPV91f3MLM02pctejH5gDxEcCwKWYbPqgOMPkTejWPSi7FzuwMGgTv2O+QcB6Ndu1vxTesleT4zT6C4YOGg7cEH9MQEa9MhM5ZOtUTmshxF3YVlmdeX4N5fwtV+G9w+xwHbp3QGMiqMTdVPINOM5lDucx0GB54NZ5y0MuEmNGgwlZ64v7n+kd+dqoJB9mTste90HIyVIq/P9JunlCY8zSK75mF132q2EzbYaySbG9CyyUrJ706NVyLovYZTrzDetlEZ1g8Rzy6RSJr/a7s74R3fia2yOevDcGykAO5Y35WU5OVFvaXDefRP6MtVYDXMaYLH5Vk+JvhePpq6sTRJ8FCdB3l2S56xHpbHQ790vBRgGgYrOQ07cdxJCJDuDUpM3trFdp4g312hRTIV5aMX4HnZbLFXJsMdjCVCAnw9vuf6nS4KZRivbLFcsAURDug7LZkLDi21AfUED90Ji2I/0aM79wPkd7RKbXaZmsi+Nb8Lf+TLTspwNrJQ+0UcL6ymVHXlTeq/W6TO/Dfh4c7PQ3qW47dQPtM7sZz5TBT+ar4qDNZtM9rM2t48+OnvGsW65PMfxw90Gz2lSvEKO3SpncEnYXjME7AOmF5fdDRo8uD4nR65D/MF26f1Zr9tbLWdyYJc5bdlQh6t8JkOOvZ7DWwVGA2ltB6iSbS/Jp2R/Gc1IhmnoEcvcBWR4HMIug7mZZ4fs1jdWd+nvuWTjSKY2H/gbWWCF3h+s+8BhQZ5AP968W1P8wc7mMskC3XiIhjgL/puS/pT51biOzf8jU8nZbPU5h22rj9HAecvlmKMm4S2xnqK18ynwdelcqrzCZVu4fNFQjpLwT6eeLDPf+p0hAf2gdkCE79WDsLrm54CsW/S5IJq7sP465j1mMB8JG9HAh7F2JjEiczCgnGC4zSmY9MTelCe752zrDD14r2+A4X3wK1HpfMiHivnw8w0+zkcx7uY8zY2mRApcMMjMlew9chi50yTKTzMAY8BP1Oy+qSD0U/bOCJ1Omd7Pi7Qv85oQRpFRWzki5eHizm53RHJmdKWJeXjOB6sUKNAdc797ujDHIdqhPNxkICXBfIeBswmQYhynyA+TZp3VEO3uXZ1GYH0lhsugN7VVXwWwME5JKgskX4OCod9TODrsYqs5Lj2s2LXqZ/JMHB6A0w1m0/K58AJKJunYdlncO+AcyDZ9m4GhmvOwK1vcnyXWY99Bz5wBA9jH1qbrfyY01o/87BMuSW8XLJ+9W3r2xE4NaM0mYdOoeTjWXcRaX7hCO8K7a1J22QG4MZYlYoj4a9zfB5b2iA/DDT2mx7HRsqwvduonRrA4QU6gKd10dj5ur9FpmOmzz6RRoFd+N5GewygiNjiA+Bh1k8mryYsdlpZgGIT8TJcps4J/BPrxsTfKsdC5RzYt+b62M1BCqIhb3fG6lCg8Z05yKwA8XyY++jINOOZnOqI82xc8Y36D99Nh10id0nusb7F+VNH5yKhM8WOKs9kWdIW6WLyaUUPRrM4T3TeaGCQj6pmmE0kO5ooGNvAm9mwOwrkq97bOIqoj7xdBR3OF9wpzfJLJNIytR/Lubmp77PdnE2EDVGbtyh7ZRzDK9hvffaZzikolPahlqP6pi7DOHRXtnKUls54yd8jj0p1ccLf5hUdaYmOQCcXB1jkLX1rx5FU0J6n9PgUHOMjXbbZ4NuVHVZpfYX+IiL1wrHTimTwJ2jHHQl1jysnjLiqM9svkzkkUy1ros+/zOSuI8gCykXSoHoIkgOOCA+vLLjq8I3IPrLcS4Zv8rNa8OUy9/t4U5J/1iclb2W90ImOgrbuTcFOX+iSnXFddNPS2b5KiZwOug3LcSw73qM8teO+U0QltMP3SQMeU+jRjEZCG64/VnyDaCH1EWTlqjEpeHs4oQrqyhZheD1u1sX+Jy1/z07Wq/oFJ7RhXmQOVHR/fBRHbzyGYcEA6tVaXvNXummpi3nm2hgWju1FGX7AzeqK+PRIBh4PKyzTVuhEDwkdXQnAunpCfV34JJiU12A5slk58JnWm8G6S0/I+UUKP7Flsjmd2TfpYqxF3wYcHI1P+Vfx7yuyPuX/YaX/IlVB52KsHiVrtKrMXuK5xWho+9BeY76/CkzfhaDHYcmvsG5abF6lpc94pd89gmcv60l0L+3nq2146YHjF0hPgdg3a+oyHU0o3JP7H9QQSu8aGH8rnocrhMMqZsBFM7ngnBTGXRfB0+5XQrbaReqeK2GNytdKYGr2laGe9OnxuuYgAc6JgHaB8ibLIIHVzQIYlT7AU5UeO9ZaQCgngoTvI1XFsonAuJ23qXXfdejANeVtIUDd/YMiIMwAbVQGeyzrjp9e4DrxzayR8ZeEvlcWReShHzKiiTQO6PY2Deqk3pl3wra6Owj0TmV0h43MfCZcySDorpyHk+Gg5fgOoFI5UxySo9MzJdYZSOIVegyChLFLFPwN7l41PJjvJPc+63tUCPXO1d7Gva+jbjW4rQ9wFWijNlqbvJUSgppKQw34CdI0wQtO61EHB091jhw/I9EZDesKXXzGI3c7jffIe/TXhIv8AOeFrdjVOZvIGw4yiowxwbagLMJVnQqP2u9wtnGmTlCcE7mCAQPtX21Xh4AP0q/tXoc55YKyArJj8/ksyIv9TTKaDQFbqKDVKm1SQBdpRQCfMhhl8GTCszIQFO9w9+3oi03lA55kQPXwDnJc8Zkes8p0HeZ/t7+tahfOtYReAmweBwsWNtcuoxGRQBPOOGH5vZBDyPMtL4qTJnbyQmaYc8Bz6n5+Za05RbAM82/Es8IZ21fISp8f5nIiU/BeHBf01fy3eVetocbtEJ1/Q9fshP4Y06VDGVGmHWF4B25VPuAtk2b4HnYMlCoNW1C1Hf3hFwZQ/84p6eVkNmZaVprjES4Aym3Bv7ZTtUW6YzqgtD10W8hj5UZ+2wGcHTeu44c85Sndlxb8Ph7BPXWg40Vdrlpwa3WiHAFYaAOGI3YBTuv9uOy+GnPUNQKCRZks2VyYeAU4RV0Z/u672ncZPolOJJLoKwBrWTbrBlzgWp10ktjQ1hfW8FgmtYNNBrYouySZv1WeavyA3wUx3pJuAd7WEvZi71EOQlkZ/Nkt8iJ8DyCK2OTPpqfhIi6BPqAFaQ7fE/kb5A/xyaxs6lBGeZMtOGD5ijpOK/r0imxt1O+EE+Me2kP9xX6cOmgMiwhGP2c+m8MWFEF6QJ1vtmHqNKXcVbyoDxlWfhqBZo8nAoWgn7VRXP/4DkjwJBo5Fk4f9fXwnfmfpG12Nr0kY4F8YiC9DHAVKQZzClyXYzPLTt1r4hjuiURY26oPmvvuTlESOvWM+JQYHuB/7Z4fZ4FIXpRwZk/xvLb6tV8qvgAwHd1VabQn9GWCU2Di9+h8Cx59ZvdmcE6DuaHcRfgS+ysPFvtdpm3k44BspsNjPebfTGynLFVB9lXAetkOgFm18wDqv5/ZWfNlnh9lrdsJiXwdFyrre/JVZHMttsHjovW637TYmAODVZ9q25wdb+2aOKJdt9FcizrDgY/5jvU1bUxK/U8VHYVNffq7he9X6D/s5IYNUWyHYj1Yr9J/0Lve4PQUiH2TJlulZjvhcIaIMQB1aMRrvotEAtheN5HGGjQJTqdtqUMFj4BNFKDyrtSRtzmpcw13+7tN5UV34plClVrKWtWFyZnk1d0pztmQGAalgxP5tOIO7c+M5+m4GuX0qJM23x/GX1Mp7PuRcJj3ah4fcIWnKlqmJFKgs77TFsqN/jh28cJOFsDFoPRDgBwBoRYVkb27HahaVo2x9jBePOuBia8EeCoUmq/fBRFdn4z2bW04TwFQZoQPpYCDUIgTBqxZYLMwdIK0zwlnCyT0P1bWiP4Uri4G2JSPgEANir6+g10q7IRmo9kZL33CnW1vQXFoXaQ9AF9oh3NXecZ+g8zix8b6YvP1NJ23vDNLJn6OhpTGLI/vZy6LSfuyA54WlKtYNPIGCCJ37jfmycofGB42RY2rPp/1WPD9Ldje+bft3emnrYtsz0e7NlpwoOPoaHN80t3GUL/RFDltsVlMM6I7YTE/zSVnWOszBXlcPe3oAz1NwOAMZ6rjRTqn6BhxDWhlck6POm4P2m8i+7PjmLLb/xOjBwuUc1/wbkv4bg7fQc9z57fyRwlHSVV0r8crq77h6+nOicDBpDCmyHs68KUuIuN4fKMfNlAQTrIgRttdGZU7y0+oX/n79oAyr9lu7n4DvoI7s2yMmgsucwAV5eZyno8+Mp6vY7wBv2XYNs+UMU+i3G8ibYej70a/osGJQU+RYx6749zR4Gu+f9lxjfgEZ0eL5UwWPpDzbTvGS3mNdDmCrwMOjyUHI03PUZ41Jr4jDZ0Xg/eHOY7gRl6TE1rHwPXMMWMnBgw6dzhzGxyvHYsoxzgF3QHw2TPdb3RdOObQZKEfe+c0RTjJTv3UoE/fAV2q/BgTYuLcoN3dzWPkEV0kLJoy2E9pnUx/vd5X6Y5HkSDLTk1LnYsJvRyfFwC0XIH2Y3e6BvgIQ+vTby3OoZWuxkcS33vfanZ61Vm9eFzlUo9sOP99eQ+QikJA9rQ9oPud6WVet+U6o4zPUuUEttdYZ9I/LNMMZkZzhe6RJZOvvRnfS52gRVlDPZt/SRusjhol7wdBnUTmu07tCm1NxtVQ6r4/0zK4IIzbdwcrTxeAML2FMqCbQN4qoG2LReSAfWWxkep84V22qIX68nThQiN+mc2Z2YSoGxFOWbI2DtwsGNsIuFUiXp8iejHdkeyjgEfVtyuaqPiKtaVF+cF94vToPE8ZrOoSdMDShzH6yBY585HXGW90cwnsjD7x4gU7eYALcZqv75aaC1k86QXmGGcxPhUXcFWLJo6Pybd71b5ibJdFmEdW8yiRISJr+XCPHpX1SyZPuO8rX2V1tH6KZqlzyKk8nS8LmMXJEoHvlchJzr95I8zI2xQ2yopEvzJ7Qwg29GvangS3VVDV578+JlwvLJcJ/hbERf3FSifmx4dOyIKsZUr4QdVeH6eiwC/gXNF1mGfifczs/2G/HsrDy2PyOqSnQOybNOlOLcmM5LTAUCTlRBkEQeoSTwJWrhUk3J2j9ToYXG/2jIpddnRJhkNWH8C/1xBO6ztJGoDjuifjjqu+511nXpk6HF099K2Ib4s70pjGsEaU2oZK0ULgpgbVKiHubEScKIr8yt/ZIGYc+ExUx6YB+PUEKYOgiM6Zsdzwd1QuMS8aozPTEkWPZ/buxLnGxz1rHx4fV5X6MiEoTeWzwEnXPJUihrgw3t1uny3zHnSbOGeLMhr00bvqrjhUZmGBPknuL8M6EgWxDboNiz1YOSiUPcUhC3Y4hZHHBtuI7/B5wNVgGO+6UEWny+H035R3WDDTLxwpEyruDYaG+UpF7xVsams5rpnSTvBPnX6KKxshWf/zmGMbmS5pXmXOodSpoOOmyiii1BWHCHdl+AZnlfuWGAyd+EqWui/TkvFuPfkmIm4VaWG8WdaEJwX+KzWNZE70dHeSyeZetzuTTyfzY+k8uyO5gBbpavouuyelOjLP4FxJKd343+70CeKXTBtX5maagNb5nVW90EkZnzMHQeqAwhMxspTxRMfQk3lc4j4RPFMrOLC/XCzQ5yvUO+ZO9gibnZOow2WOfneceNLWexwUT4kSnAxz9TjIlU0w4WpmyeGynpfBW9WxyP/o4CunMF+pbtBzHgP7UlmcD5y/0lfoeplV3tNvClPpg3hSOr42XbuVxfdOv8xIjt6VDrhVG1AfyuQb6xMgS1LeJ5RfceiTbwU5Zv207mCUHeoMflGHYOoQZh1RBMZKTK/L7FeDmch7s+cS/XNmWquAs9zQIQf1IMqZrM30F9eualE/pUu6VZdUjrt7UYs5cXrEN+s4ji6b13F6geaJrNWy2bNb/Gg4J3UEumpOH47fQUer8CX93/lxrHwTufmxRBZSDtvJeFb5yoCLgM6FeVd6aKZjan5cAJ7wOPcKaTSxH87kVXYFHbdr0nKsexV4M7JO+MWpTux4LjLqBA7N67M6nClB/OyyXyjLguptQvOncoPHK5GrnO4JOJ/Jj9KHcJK/QV/Pa5Vq/Y7ndZD93ZdHGbhK3m5rMX/QB0aeKzou6ya9HwuXV0WLMTutqhon3Nm5Suj/ILh1mfFHxZXyVy2XjEcV8Fdcq+Ooq/lW6kpZMr0+xyFMi6Ke7MSnmdHvpH0V0lMg9k2a+k1EAwkiUiqn7jczx1HOHT3UxXaSikxlsrdjZ1B7kLArRnd26X2KIuLv0NO8NsnGLtWLq63NMGzidwEJCfOsHwSFCCjrmTJ+NidZgFbZdJV/B4VolA1Ku7R0leDh2EUNQOZdkxq8pW/Hbw0uKQcGXB5k7rqyHdW5wbA6gtqYukQawfJ8NFBQYMnpprssdjwOIdld5QKJfd5Zq7D328iP8yMTVmBUZEfpYj6tV7gN2D3jG7cVd3gd4zDbXTl1UVm33Scb9cO4o9B2EwFNz4DpQHk/6u9bk/0ZtRWUYMU9OJ83HzpsY7w696HWv8EuLLjYnRcTZEFHPgKSlSW8x2feFXx0PPITXDnqFIAxFxpYuZcCfG3Ssh3bR5fWm9PnQS+1P/jj0V9Ip83lx7ELwa3u6Tv0h9uFDf0IY6Pzq98mHWlQ1eVtB3/QndDa/26nfRfZ5cizfXDsiOwDNljhHIxuIsbruvYBB9BncddO60take0cNk3m7i2Bftt8HjSOMqXTzW1oC8//Bu8NNt2lKbtIs6OfQU7CXxGxBTXbBxMcxOOJdGz9pP3fjj7WMeGdftq/bhd0z/sC7yHtG0wDbB/002zP5PsOd60D+D7ygyAXkrbjbk5pTWTHwDUwk4nG7KbB4/0uXOI3ruKD3nRObc+HnBt8V3HeHoCnD3rf+ehBmXVnjjDfP8BfbvStSmyg6g7fLAAwxkCNFJWXJiMSXhiOFE14Hj/zEex8xDDmcfdA67fRp7oTubNeAGNjfC/hCbzwMMWd2ps6L4wXHn2rJ24EGZ/1i7VPbGwQ51D3yLcT7Ql5Ziu5ZfyQ3qc0B/q80YHMtqG8YyfOYRz30Gc2FgJ34Uo7duDGJqfHPHPb+DhzHvendJ749Iu54xpk0T3OCePx9QCUV7QAjDSgSGXnkf7E2K8moF1/d/nJ0cr63En/QLj8iu3nbJKiHMc+YFuEu4+PJda/3X/Pgr9h4S7BT3ePYZ9pOdWf6LhjvmOzS0vlXRn4AX6udbs53uY359wHfQ6djY7PZnUnul7edkAxod/jb2yU4hL5LlyhINTmRXJtOeF7y4BFpzyZHOnJO6H6xf/uRFNujAocdaltH+WWwRysttE8XYxb6u/hcjAf1V6bNOePaF/yK5aPzX/LgjMBNtJyRrvIO0SMli4H9FWUdwlyFuFifq3fFnxS3/7/7Z1/zG5ZddfXft75/QOmMMAAtTOjFCgwJRVBK0MarAUxqdL6j6nTmNLUhtSqDUwTDYFptG2AqTURSSOTINWq+CM20cZih9K00DYRUZtWSh1mKFRLBYYpA1PuzH2f7R/n7LW/a+219znP+z5z7/vc+/0kM/d9ztk/1v619to/Dy40jmzcjHZakqY9Ttf1Jq0702bsKkapJz2G/ZeLD+0UtSXLO7xtLpAR067CBbLoCdgratk27otczszLItP4sVePg/xt2nbkJtU403GN24wXnW70cygax0Bv6k9/iwy+c7aln5Ost0rBvygatPU1izxmiBjo5fD5HI9mjWnXA10LcZu+EuWBd/o8zKd++hYXbp1ui1RyLfc0Ow2uCId+FcdZvq7hvIhZiBt84szH3y64pvpvbwNTGRNKMvrbpD1Zt/5KXz0p6/WCt8MgbeGcjMCzpTraS7MHN77CzVcmnDLPbOQpt08mE5ZPR689+DhiHbHUCGocvbmeIs9qvJ6Zy8+Xi6ZR1YzLs4vMac4JkrOCb/Tr2kN1X/5c2P1slOiaurvCzdqd2SLSdPQn3g190naHOgwN8xOy5L+309I+bGXbR9xRPAn+Gw8As/tt/43eYTyhmyi+oTHef7ca7Fx76V16N/qtz3P89xK+3ftnS/EG4a3KN+jcyoTxaQnLWOtNtn9HLJRBOEEw8rcrmCcjZ7uUb4dRHEsDgqX3eO1xtDihA/GyoBQZZL2/u0ItyxMafkEYdiI/wd8r5PDhR/3civ61u6ivMibzO4yrFzc68Tq5E1/xi20sHEDn4D+x7n0YKfg7zB/1u68GF6R7cRCDnm04Pb/DDRroJpCteXdCNbmq7oabqWRVfV2cRDgJZfBp2uOCFxzgjeq1bjKLvyXWbAAQ0F07lEF3sQDZ0QbxdQ03d1iH9sGJ7JmU4jSv0F/orxv3wK5DNyfpk7Dd7VpuZCV+7Af/njW6Cy4nJD7xn/W/YT7sS1+OdHNk25dXK0/mNp/JiBZwg/BNPCv7kO6G8E42PlmbJ8wE38ItRl2/J6BO4OY27pV2CU4i9sbF3U1P6GcpHT293dHVaMv4hcHVLPkZLID05Ok76Dwrsmt6koZnFgvCfMm7jz1l0L8v9Jnq13FqWy0Y04W/A7vV28J+PCjwd/lc2vZo+g+v4lU3K22TNYcteqBOj9K7Kz3/0Qay8umZSF5jm8O4yY+jonFaOPfYGa+bd0FdLIsT+HxxbmSl3TdcENZ3GdqX69uCMHr6yevBeNwg/TSJ7KSDwrAX/Hbt6ZXxnWwMIE1b9nW1a18PNzTYsQX2CyfJPxN/r+9u5sNXlLeROUjrSecjdhmbnNak9gutS867NiUWfJuXq2hsm7EcrS4beViOu1vWLl4jb3mWQQ5p3VxMeCL2EBksnzfGIn6DLzk3eHJo/sYenlY1HWHZYpGqm/r9wVyNg+RkwJ1jc6dvTmsmaXa6G7ATTzW8cnVms7vX+xNpdjbOQtd38++SB80CqJ5uKcZcjay3OIq7mjVc+DZkPpJml5i/Wqf3TVncjWlO5i1sq6g7pbN9luGE7LG04SQx9aE51ejyB+tMsxPcdZzRQEWvZca0+7RAMfYmTXAHm99VjfJgOjHs8mxzXIXN8zM0Aow8ZTcfnk50J8i94T3t0um3Af9tOp81RY68qaeH1DDF79LO5aTfdHRRloES1l1ziglJSb8vN5VhPVVR0jycbHHl0NtVVyf0q6GuA50k08lTFEtyI3uzkNeTy5WPaSduF9i0Y3fWgZv55Bo21/mbxmUQOsVpM1HrfqC/7OmItn77+leeeae+zqTtdKVw3kj9/iu6z1lkC99dRjmS6K7eo3Misp3r21Vz2ZwHeVCWXMsS5SunJ3KnTEp/gqcL8VSx5qFJAORdE5/M5RXruCYcWATW9pdE5NjpQBzAen0CA5SSpylP9Qf7xPJ+MztuJlu9vsRooD0b1ZZk6mdybfNYh1Px43epup2keoI3lz7HxhH9rflR0tIz/CPVDTtyQ8pJT6z/Xg6va4O4Sv9gdA/aCLnmkcjcbzfxTJ63R8mW/+w3w7dOy7umLErU4Mbe4gFxBn28H1iUXb4i0G437j2cJtXTvEF81W6SGp6IntRNgX05vYBv6sKCqX7btUyCqk3k4pRe/lgbqfmGfTk1e5xlc1xPc6t9J/V74r1vz4vU/MKdtNovHGfjppwcNwP9OVyfFtQjRR5TXlp/cm0Hsx7Oc75VW8aVcap+N9pPgi7PIqmcrEX9ifFAuHrjRq5+/Gk7TJexsSCOtM3azhBb3+FZSYbqiFqPsD4anRzpERKD+Y4nsfypULhRpNk8FOV3z9bTOtI6KCdh8BaLVXSc+THa6BpmPLXqx6Q9v9EJ195p4tFNQ6OF3vC0Xa8f81H0+r4gfJHYjjHBLY3FSn5Bnqlf0BvF9luc5A/CbybOzK0I+LzVMeadgE2C3Yjr0ye72i7GDycq5zwYbQpa/K5sSWeqjvz3wI3ud/J245X4fW9Btw1I2jbv+krjH+2FJDr/pK+gfwnlzPBspGsiTDmmpj7UsocxRAY9ZwJo0zXZi7na7lJ0B3Z5udGV0SlZpPl+e47rW2OXlThynI/eD26W0LmRUl7ePizljuMQtAPBZtPFmPn2p8n2A/lmRyVdm5Rrvz3r/ijNZry0KZ8BqumPFswn2XzllO7v7N9juC5Pw3FFR+Y8zwk0djGkF22iZi7Qfesw1POgS8o4rz2hHcjpdHCxL7UfTjW9Zp4No1+hv5vx0Gy/le/clveat3gKNuonnO6wkbV2cXlewsO623iP5qBBr3f17KZ8+ztbXWm7Pv2RfUZGBOFYYRf8++C87Kk+797iINbPNO8iYk9DYl/fExZ0zUrW9KN48lP9iYh+yMydijTtIOhH18jg20TY57t+MAxbba4sfnE0snWm/LPuUEb/bVcbly03U6bY/s0m6HiDs3lePu1WdDi2Y3XvnmVXRui01EUoX18PdS49ic5lqxpWvVnbIcarbnKb52cBnoi9FOgpA/0dNKzAUNNX5ZoIqW60Uw0bKBg/ScQvVEbfAjC/B+FGv+3kmtSOBSfYtRFnG35y//l4GsOqWiImHT6MADPAD4zBXb9bm6MFBHjn40nOiG4FrP+ZAfS2/jcFXv/DXdLhzmxnOEWnY7EuRQZXVNeKvzWLT41IxvBY4TYqWy+vez4J6Z5L9dMYQtjJmHdjAUfGQ3btIXrfyDdwF3Xaxg1O8rpyaAYzURuP8tO9N+5cGUT1wQ8yMD1az9NCvenpgI6bcLcttqmleALdIC5fl+r4EM23bPKv1BdT3gvGafbyYBhr5Oy1wTX+1oLtHf7tTkz2yiFyk10+BW1Fny+1Q69rIC93KW9tB9v6t63zs9xb2FEIbSltczVgsY1h+9c+IQvuiuxOknZkbF/IjmWLV5a5dER6eC1zONEEqf7Z0a3duu910EAX1jRVXdKEp2Wa4nwe9KlNu9UXttx78qOMUbyRDtb4/MnM5nfRRUudcw27a5OmFOZbuAgoy7rBh9OIVNo/XicKV2jZPmFkLC6kfS7zXjowbiyn0YRuswiLz9zkcXbu6os23KGNNMJvPJyfhRO0HRnICrzOXaEvR4uZi3bOHllzYnfXU71hGpaaY/e05R4r40hd9E7F9nT5DmE3NvS+29cam39NMCvHM10/p2VF/GsWLBbdRwsUPt61OrbH4ATxicPdwR8uoPhF3Z2jPcFtX+HvhbHQUtk23z4N3WCgNvydbeNAxvbhWs/tv1EamvmSBM/w5qTgROxaMN7VN9H1nKzReydkUbd0bPNV7DI+9mWyIowT6cXs/ivRuLahC5X6u934GM7v9ezJE2LHKIG+G+jQfckwBRY8Wzv+WKq/mIYlvbOjngznOM4AO5XNmjTvMlbpvl8lzZPHyvj9GLAdO5cx2S6duQ2kWRxeE9TiLSLVVlgKr84VlIGv+/cMwBOxB0zaZj3B2ExioTKed7ZHC484SWsDd27AX2/3kNkNWILB3fXwG+Px39OJZKiyzG7nb7vhgLQ7OI3SjoZmmcB06fLf7cDdZiVu+73PJLhA2ZQJyGF2rs0ytDsnbX76k6gY5+b8fPrjium5hp9Ewu8TRaTWQG5Pv1Z5C5vz2Zw68Sd70b+ZLNf6JCb/82baL4MLRPitQpRLw0L3+C2GpUm84Dl++zR07g1GlGE+Yaz+cVIU82AeaG0xv3EXkJ6irXXCTx5j51JOAtXJ6WBQ69uHb9dzseluzGARffrWQJsf5mdg5PlTYFq+mI9B+Rk5sX66QXpz+jVZsTRtoI/sqX4RXYgBndS0CT+QMvqr1mX8Xo7XOeb7uC6NzYI3fB8mo1vU4Uci285kaMmm8t0ds3CKDsQ+i07Sicj8jXCoI1Ld6Xdl3TfOzCJTx/YpO4ibBZ1SP1yam4WU8hy+a1rqQrRA1+xuLPGVP4N2h+0lZanfZIW25U+Y5CR2t7HA8/lvqyOS7Yd8lxhcF9gsunr3+q7dZWjan367dvq5ifSoa9fY1vwux/K+2S1cgvJ2iMpsK3zt72b55zzKEEZYjtjvl+eB3o43o0ktN9/mQX5/arf5njOmtUlPSW/9jfZNONG7ESnf2WzceFSXiZZb+Xb19qjdlWrSXoI2OlFsHsyngf0Cde1HsuD3fGpSXNy5xFVtqZFcsxezIF83jeUpqWk+kTvbJEa2JPVEb6cfx3quZRykBfVgPdmR2zqbYbODSVRu6lftG11c0IaiRXHTZ8/1Oh1nXeQ2ZbCxJwiiNpCCmzNKvF7nNPW7/E6iJ8mnDR8+Eux3gu8Te9mi9hroPdJB+3RV2jG+fjlbsXE+nx7tjvME7aRcfy+EG/k3NPbOiorQ0y9NByU6vtJHbkJ5tDAQnahdXETwOtbFZZ75axyj5z2i/M4iat37Pi/qv4N4mnLPK+Vp5HBtGm1Ud6LS3sqQpLtwOedt0VfJJ9XY+S6vfbICWzLUxyVeZ2NHcgXR2rDCDZ+pibc35jX2+hynsTXdhvkEf5uxQNBmtQ+I4hL7d31XMqWtjMV2MG+KHD6PTLpqm1Mro3SJ0cSrsw/0cefUro5j8NFgUVFtbp92iN/GO6Xd2yyNLKXOrNKbVk7cxFZstVDXJ3Dj+uXs/577+e2Rdefr/VZEUkrTnBHeGufSaWz4IM+1XmGZa1xowAbp8uG7Z5pesfndbKbEcI27plPq97NB2Wg9BzfRBgy8gdDfatTob4wS3mGazE0JUEeWiMqtO453MhXbvehxU7/FytDYwrmVucGfgIvem8QEf/u6kuEn6GXTPnxbE1ueODe4auPJyGwI8qf7jeYV6GllH82obxIx/WvzLghjF9mSD9fcVieuvth+0tgFZV7UZaifO8YNJt3FSYF+r/wObjdo4uimsg3PjH9gg6+INHMPU/zJhFPKsgk3pWDuouZV+Z5sTnNehYf5+nMIk4yDAo76YpizLvKahWJjlMRhGB3tyrwX10nayL7hQuyBYhevoJVFlUon/vvXNIWGGP5dOgk0zKQ+83+Hi6u9tuk6uPD7PYHH1d/KMVcodBb0wABqBvcbeB50ymk2CHAh2lxZqYtQdqBjwhH325dHYBSZK6zyHH+kGEeavzjBgX448IBTyMUAhAnzdCy6CByVsZcV81OvtHWLvmaA69KHk/tlgUnT4heso3xwxotZ4Ms2GTklU/96ijsnKKp5YTQLXBMoIjhRYCZIo0XPLJI37uPsOHkFnaxPVyvc3JHCYoyfcC/pRnlGhlQjr/5w12TnWldKWtTmhHbgJwzCuLB9gOEaGeaN4eyvYYM6kNE9+C8L6ugf62wzmZhbHRNOlHgdk2oa1E+ybrv1ruwwzjbvzN/oFhYhmgGn1HCylz1NC+pl0NTIUep/cmUr0vQ7Tb2SmgaUwV93bq5r9/W+6JP5Or18lOI0LunDVfoS6kyuZYdXbuECluo9DN/r+iLnJpnrYpvBaNAXdBm1pWzLxV9jjX19N0tSXN4+Tt/G4smlqhv9AFUXzVMNp5Gp1/ckG19ZEJoW0qE+IfPmtmjxbKifZMrT7cYJCHkZZia091LvsV+r7WDqicoAQtuNDMrAhOtkCRNgRDJp9V58etQunQPIMlho9OnHuEPdn+y7uV/JIrIptsh2yjO9Jg9l174+1d/NQon9u/SZ+ltwYRXkQD3lTsLkJHqVto0sqOti8926r+7CiZLyB5Q3lkVzXde8ubDXx5uJIq+r0G1KrS2ihpDoxp9NcK15t5yDgb+XS+MhJyOybXpkkWijLdYLfxPSSU6HdjflYpRoezUvqzxL4XT9Rs/B/ogWY3ei008t1eVuXM7O0jHgSdpGyTe3wTn7OYRGl62Ib0VRYBp9P7t6s8WOpzis3poUZ3bvW0+DMJA1+VKcRkWb2vgxrrXjs164Qztg9+Yb0wm/l4a9yFL0lSzrk11Yyu9ddAHW62ihred+X+CiXxP3IK64nsLtWGL9+wXMSZ9Aop0JbhZ2VtL0N9gPLIQT5r+gTlgvRxP/SUitTGYMlq1bM2cQPA/nN+Z8MWOSbP01YUaiBm4j+6y3oGpkRHnywE8jxFIB58bdaAzXjBfBtMf0ZAg7rENpzlLY7F/HsbGNe1JWLeZKr49q82eXfsuGAf4jFvrmxfxwG61iWYrbkZtd7MKxzKbe7hkT7tKmAhwfp92LsMSHYTXPe1yI06UnPZ17hk6+9uBC7CECu5901z9M/oyMzu5AqusB/nYGU2R0deNWoxMMpo6WaE6CgrxlQcwsvg0GSuGibs7ThJ1Px/x3d+exMyDyRiRtpnZudlWqsTn/LCd30Ridd48XN5vzbbqaq5CDQbIujh5Zmf1p4XDXJhp6syx6UrC8n/OjTFo31y2HBmxqJm1wp5E3KNVdOenjJqEFDPnk6mN7Atv+PZxsNp1c9VPqX2hYmbou0q/DopPQdpErN+7MVQneWFTDFNz0EgWGXYnXG33lNJIxHCPD2+26qm7twnA4MM1Z0haMAnHtA+OCwSiG0R2M9QZMsIjXOymA5Vfam/qHd7qQtwnqQAnHrQTZU9jOoPWyBllhBi/gtxjvzeDGyWwGLpinJV/8VeMQVGhIznEL6K08/2/jZA03KjTpLrojSGMWSWmqM75OrprQLXoIB1cub4oz/blgPJvv2QQyi0h4YqzIkcTpPPyO5NbuIzTpg/ZbhNYiBXnLb8zrcoIfJ7j8gNMObnOVD+sNxh8BJ59MmH7zBixGdlWW6vik/6q+c7rcfMu0COpJbVy+7ynfaF/yWxZsywnrJgm5lkORcYqn3kyg/V0JO1t5MG4fRpNGjAf1vEuDdyMZvnMObvA2Be9eo+z1vbN/v2jvCSeRRZpTzyZYrBOmbcxXa7dehtca+5tOmsXMDLog1b6x9M11M4KvWPVfXPxoFqcX1FdTZ73+hDBxUqjYmM1piqgsgtNUPblaHYz5A+9cPdKoIP+0zntxgn6wus+CG8Z8HCYvchsOWUFpA71TlYOTImb82Ml/3CgZLpxmke7GUed2uNi51LbQ6dwfNd85Dr6ZujimzEEe9eLE8EBnRPZeIwe405sW3NjOBLHyxG3oH9q23gCVXP7A2M/fEhXVBVwYHp2SDv1E9qjTi5N7qXrP39bVKaLI5i3jo8ht+1CgPvgE2Lj9QkhvI0k0Vgztt8htcQO6Nlzo1DZpn/v+M1yo6PTvZuLX913Gcfk3Nb+jfA/jzE322j5Rcu3P3W9MT3lug27rqV+MM4tEPUrdcH6jdPj8ncZs7acb/HjY2wNG3qIzvIwu49Rt0Bc37jBdeKOT1rFJ+Ox1AKYTZE9p+o6sscEwD6B/n+pYMA5s6n9qnqtt69IU+a/h+AfV+XCxJVUd3YRTdC7ajKDbe/MMGL8Z+5k0zgGN7D8Ix/+rJ1JRH0S6Q2obT1EfEvWJ7qaoSO91WWpna8KI5gfNfHIbXtSmIpu457b+mP/pfU6utCVIJ+p1M1faI2jjq2XwZRUs9PXnR+aw/Zg/6Guav6Wta2Ff1LR3e0JzehYJFzwzm+eC194ugzLolXX4zNi4eagvcO4Xx7y9vlDtEzwZ68bH/vMu3fhhXKv+3IK86UuKtyRhHZln/AXHbcYO6dQDTFsvzSZ9oaMU1pU1mH72IsKF2AMmb1I1imBwidcphYNFNW7ENrTIACluN1In3EPl7xZ4wRjdacdwp6E2xsPGDuKb62KiSTM0TgODzBhy8D68irkEAwOYesJgXu6CgX5zQjZX/+HgcdTBzAbP9NF7sSd7pOZFs9vdGXZ6zWUC+ZLMskMYSepVdsdirsNuTipDuozoLi/8NZ1THavGtrniUUQVq8oVDuBr3hQ3axZj1S/I7wcyzY5P+zo03v0jH4dZhPVhjDr9kcEMbTnleaOGQN7I1JknzdjY0KiLM0En1zG+9Hrk+TuS2kEnqacw4WSQXSx2UQTPvGGOfrHJ9CbT8tFUxzbHWTbnReUyA8qyYJlqAPWaXpgchrj1inJwE014N4NRV8dM2jHNLu1qqAcTiEavoxHpT/7PaSgDRD+orpMSNRwdfHn9VHSGVgTIs07bK8835Zrjko/Qhyx+M7LEndyJs7kcmhmbWW6cGAv1QxZoL7Uht2mx+iWB7pHz4KrkM4YpoBOhH26uXC/luBU7EZBFJ0HrpHewwSLXoKY4g/7by1Czqmad1tes+afX8zsdivVJo3I6JqoXdjAENgxcmeyvqDf5JK6Nzn5931PcbI6zTjZX/1M+puNs6mP82QVp8jJDP1UWb0tdK319/ZwB1FGfF5vS3mqb0n+hLmEd9m09moBqJp7TJEfZNNRMxnTki/qypm9GPYNugnSb+mA2oCWtc0b/F72EV4CLd2PbmdbvqJ/D8ET0hKe6T6JXQpvvteapwWjbbHQJRAbvML15Y/vYhDLPopXJWZULozia28o2V79ZrM2JflAHdsYHzSPfn5SgUOe6NBZdonG5sBA/EZVTbQPFk9pLRc8dV120alKOGMwCJ/ZdSBYdYxY/2q/4/hXdSPtOdSi0YX3WCUsEdOqOO9v9htJaaefHweRk87kbt4gc3uzTFaANL4qj8eZvBnKfxDHvehsAXXwjet8+D+cD5uf+OlDjJlm3/lYTDN+egPWKzcng7IwMz3UhyEexxt4I3Bf5fNyNfN4dhDvpPlhUhvSM5FojeyOKlxXj8bJHaYna37zpdqdrLl0ZNfKlOPrpXWr+Hi50dOI3fYnYPNB+OhDC1J6gbWs9FftZDP9+F1kDIeyYGOtACv7u+O8ksXHblXPguWsXZmn6Y/ydN7WIy4Kzv1lkqc2FV713+g4zN+A/47FUNoF90tSbgX3czdO5Px3N2+i/gb6UzuPJhhSdh2j0MMoAaQr7RszPpm+v/3p7P7lbUfw41OgzV9ajBaPw8Rp7DxeUijzZjnM09IXw+vL13Zi5mEG4KYjfj8tMXK6+RwvosW4pFci+bDap5GU/IrX8m+e9fiuqi4N+2dwE6N+btpy0XFcTNSI316mLjkE78ovHIS7vmnyGTyokeB4tInbXIIL5WTOnFdmEwYGd0alRraNzeFhPdC4yQXmpW9EyHuXXYj52FtGjReEio8oU9iHg/4zAhdhDBgc7o528XuElVwlLg+l13sUZLrQawxAN6Njf8IqYXRRo09mh4kzWzWjAMf+dJVj8K+5yR14J8hvLoMfAsNz1eqtod/mJgE6hfOMxvOJFBgpzhZFiwnAGhZnM87vNszjl288n7TCc4WKqw4LhPBV7svXbTAgGnqMwR8XZqZ8peBYLm00H5CcPhgvPIk3nNdzpFZykUTGSLTvdsRXK7ORYY5R5P0tAB5swPCi7Onjoh9lbBC4Ty+pGxE7yo7izquwt8FfDRkw6IyNnZOz79xiHZBEpJ/8gTWYQYgYp9bmeVlE9GKRD05qrm17bdkSDB39TQzOhmwJ9ibJhXoIskeGFiwO42Bzi9EgUlsnzwH+0KOZlafLKt4lcZbV1Aixlk38rZOnIEz3Hd2aRyp2srfUWT89jIK0MeFLfuHWTuP476k25LZzYFxE9mdwbCNbBei14XUAI6sloQdaHK3m5DzN/lwkWiGCor2d5JTv9LO69iOqhZnNJUFe7Egd1sZn4D+pqOOgvQW5z277U/3J77fltZHL91xR3xz2E1e3jOjL0A2wdGT0M5YLxV8fTf2bhvZT7UDix7QSf+/Cj5+hlpOc1T2uHp5OjvV3vIlafzvH78FXPmA0Zu9nQlzPNImXX4ezMn0iCPrtdgOjfYhE9X3u9706fu0E5sB4793hz0SjO4l/dD+zHEaO4/An3+kLUFluSF/34cCcBqhyqN8rYbweWTqctyYSylMX4+Ju6Owjl+7NIhKafbuWJPbZxmee+/9XwrTKO9KRZOOv1jTDhumrxNhBZZQN9mn3bwHg7G6pUZrAFQ/vVydW8XtGvjMLx9ngvft8fGhs1+B2NcXDs0UZQ33evbm8SYuNfHOPhO2f/NrJG75K1z+1kfRt3ozJTDcOHaQWc3UMhpSwi5fNZsHHT2KkSl2GtY82AoZF9cQzewYxlJM7/XSftww0QJSxve+aqi/0CvJErimOEf5/FtNlu+1s2b50c2f3uh+HHGgnjc0qrLJgO835kN8zzZMthBPLJivwdhRX5xfR1Nqth3GvGGSKBLo76DwhvuBAVzs/bmxlwzN8KDskBndMMNUAnJ1f+fu5R0yW1PO2i/nK/GMnp50o0v4tea/q/2geHdkRvAbA8H3Z4RaRs6/Ro86HPH8iL7rdb1yxYQxhef/q6tTQX0dTFQEd3xQC/Q7vNBFhfnKj9XiS4EHuATB9nd71zaDzERmF7DU0NK7o2r5mcc+GXQRyeAp06/Wo1q7ymI042LWBkdgd66A93Z+vJzepmcz7ryRT1K8mGN6ejnBRKmyzbo1RPw6AbWLCNjJwu0DnraYWy4Hh+lmvOw835KWw80TU62TrJPV21GF1FbE+epiq/d5Nl2nm9gYQUPzp4C9IN4fj8SDmb07MioieNtldUmc0pp1LXcpG1huUncfG9yisyTV6LaJnWugOTxL5Ol3BLeBjPHC4OInqTpMWQ7g24kY0/SVlkhnTluU6nbRKBCU1jEJS4IZ/Lu8UODHak1qupa/g1MDhtBwvBOYnRRWaS3O2eCvMDkyTO7Rxehh2k3QE6nGRF9xp+dm5g4qmZ/MayxeawrWVVJsWw/Hx4KgLkQU5Vhu2R1HACvevr1NZfIerlhzq7OT+3yzkvyqR12opeN1w2XoD9af7NRReWOpLFXFGueXoMckiVQ78/WHQH5gXsBtTreY6dAO7UvOnrSjqPiy6zp0Hx+nmN+wjrsD1FW3ZrHx+BPMFJFpQv5Sw5J3PqMjzlmt3vUI+7sPFUjKsjTZsudTlLWz9c48L3Wjaoc6TW5e5is8ikN+byLSdgS7uzA0C7+7LIEvZPG3ttOp6EVT9wlVOJE0lZzGlGkweQR6insP2orNspfaWf8mVk/AnWb2tfYLmXb4XXDU813uLWX6W21dMoqfXTKE7MCPuqsQ+xXs76vMY1/zv31X5wrUG4si59+PaKVMvPyezbkGnj5YT1fEJ++I3t4sf3L1hnt2LKCMMzJ+9nuVMW2Tw+CVQ++aFh5SCbXb1WN3PfN7mxes/IquHUeq71OkH6wl2/qEuz+Da/hXbRHSy7DRS+v1Gdum3bcC2DWVdI4AbaeCp9RzmRPtt+G7g5YA5I86R83sBsnoL8iuosWQZvJfHjIJGqy6peSqrD4knD+nC4KXdURr13oBcaN713mCZxi3tBvz7cQOt1bOQk2kzbsVP13ayDos/gYH8u4vrK0t/6U6yj+ESsPTG7bz5f4xZCG13dAb8fK1LzI7qtSeVxbmp/FeRhpwyMrQf9qJl4h6rsn5X+3vchzWKXtG6a8SO+Ax3e6noJwcUoc8oF0mUji/sEtedm/R1Nik4/pj7fnDzN7l0Jdr7FQl/D1bTRwk40kd7ddORoFgeDdt0sTDn7ztheK8H+PZLPxxWWa3JtulcHULaoX/Vyl/Rs+mlKLixjb0B8ZhG22FjZPkP50rbaNDoWceFHdpLeilOeH0sdexpbI01zTmgnenL7N9axbXSttncn9rfPx2Kvmvkuid2aNBe71tdBCfLA1+VZzjKG0uc+vjLu8++CfGn+9nHnNk8iGns6aOc+rgTpifJl1B7rWMTpanzXeEoaLtYHU8awGKt+gg1ltj47N5g+l5aoPjULoxiISx+WS1OPJKgzgUw52fCSKx+9PRGe+XFcG3B56ZStPzHqZSx+XV5FZWjLDfKqs7CfRKY5UP8O07BmQ98sHOpMjX8jTb2yZVDrhh2LpzYf57qn+aSVzS6GYn+WZvl0vnzQXnu6rcQR1iVo16O5WZnlMNdAz/5U2O5mS3DTA8fHUPexrI18vh2gf7BjRII+d3Cq+6xs3l2zt5IcEj1jZund2rBFmg4hWgB8sgh3TmOnrZPVue8+YoWzsmt319Or0QTCviiG4+Jp3JWEJ/zmzvykdWckW9t5rTMUd6VXZt2Ozivyjv9iBKEx1KPb4bld96NJqTXhtREsO2yNqdYQaBaAwIhtDO5d2sgaQ2PkZqTvRmEuxdkL1g+uVpaDH6z1Jsg1zE6+h5QyCGRrJh4hXPxPXLym3YMbPAFr/IeJrrq4yNlNwoqySU4+86+0v81mHSOTla2pa0Hdawazo//QXYRz363rznjuES0M+rRjOfiBwGpdsqZZR5MJslI/lkEKDgBBttEkaXHvy3Y1rvyWvqtuZQC7YG0eLYQZ+Qkn6kJ5IJ6Re62rwU7ZyK/XSyfpqzvyNJM/c3w71c8TxLtm4tbke5TuE8gX2QyNDGt2R6/tJ1b0p6diqV6OdGzk/GyMkS8tsI118nenMY4rw9U6d6Uei+wXkWozh2ML3//vIJtZfDxp/QvGozYSF3akY0eynQJ/k1N4AvcERIv40ULuiW6AWtAVS1db17jXReft777DNYE5PebGTIs6zk+Ie3J2tlLgLprYLhPKJ5icDG1+b6MF4awZL3RtkBO0xcXyXjMWifr5SEbvttig0QaStexSX3dxs8b27OW5szWa8VgO3pX/trGsq+3ITlmE49g1/v3rFTopGp/bNNtxV9mE1hsvmnpW0rAN3hc3W/hP45jijDbkrUmPzQQrj89jM5Y0/exyPN6+92U1mmsKCRYFy8JXs+kE//PBrDV1Ojo7Ox21tj1220Lw9xSR+68jY/vMzS/ivzsSLnCdltJ9ufwbtufVOiMvln+P2jat/6X+y8xfSFzWfr7UbLx1fnr1c539UOeu9zKe6tTZsF/3c8LB38VdKJsv49RxG+iB7saNaMH8DMATsQdIc41PMPDTXaZoLEgOG1LdPZnbg3DwPbPm9Il+RzQ1A7x66jIZt1NDqgJPO+JEDQodpHYn69w1RnN40+lL0FyY9iAs/32DnNL03dkE33Z1p2BxwIffRcC0hFdvzd+hy5upXPS7dMUfnATV7/A28jqZk9hTfX7Hs39Wyr9HArdzfZA8n9AFShpKnuBEST6CfBrgT7psr0gmnBLn9or5pIrIZMSL7tGBwOY4pa2DdbIhtTs/fRhbKBJnDG6PsuC3Auwkt+3ksBP2pxxLHKazmE/p6TcBjyGPwF9Jx/RHbjs8b8C6BaacwL9UN43x69u/TiSVulfTrHmp5T27OUr9UwzeGNcT0aInmetu0fLNEZhocaTj+RUawm7XbTMRsU1GDtxBlSGqRnT8HnQxCvS0QtV3ftK+5pMLONs8Mm28nEoUcItpAOH8TmbND+mcOCr1PaifU9w1HD+RuHmi04ZAWB18dr5HivJHgzFBvdUMqubqoeVVv1te4kzajfhyBzfHto2VsMu3g1GecgJlewXkUy7VHvpgaL/aj5V6WL6Njen1ZQjPdDcmbIzZ4olmyEMjfzkhXPw7G0HrWxJT100wpT5h3Q3ahw56N4H/IE26+xHfYV+gbbYmrNFzaeoFpr6muln9aYbS9N3vEtbmuNoX4vJBbZocnDTBPiHSeUns6T2va0v73ooplHARAvMb9Fx39713m6VOwGeRzXHxm803vPJsY9gJmDms6FT3fAq91MHy3ud3cR+lBfOpxKc2ltetInpi14RR4km26I1uzKJ2AebbFhd45rq/1evdk0jOsoE+Oicx33DsDiqDXbl4+jmBoNin1u9E5qDOJXNatRdnltzWo6CuZN8W55NVjV1g8nv5qisMd3MskvFqcCdT2ZGuesXHDelS2VfIQCzm1Fb0zdLZ7sKrfcOxSVA3mu/I+vYA4Xl9EH4DEN43z1Q/u3GH060oW24ECmQcgOPDbhg9u2db20Nrjzs3XqYcPMN4UYcEi6vNrR0uDmMrBPkdfet1eK3zfHOM2pLHEH7jWGxdKTrIOwP9ihP74XfJl/IrFFqqzvPBRXGP8H1fL35/AmswWVw33LXtEO2tRr3mcrolCrSUSxWsSWeuI2/T3DHeiNFcQJOG6TdqGXNLVpHH23ML7SRcVE2gz7xt434bu8rf0uPimaKe03EMOi7b+uNl82OcRvYOvYW0YRWf5fYT50V+k7ZtP//Kic/a1Gbdmk3xBALUf8PP2uzQl0/jxbjP6N7UUOLo2CBNnyRixkDSOjHhpiyC/WRuMsPZL+qv+jHS+voZxNl9H6XRC+71LNQLo1OWFl87NqKZhwE93ZurEmkXS5YWpUSqvdicPPRyRTor0lOo/CHuaJ7MzPFhPca+JPhki1+cLuFjv4HzU34MEG7ykdZtyvZ5Lx9DHRjpOa3T5YvZrj70ysmXdY7zx9etqlv7ck9tFOtYG1eRDRc/m/h64wmfn506aupdyiavmiBBhsWNwD4MGN9p/C6TtF7KbGNgXzTfmGG+Q+zj65xOHmHaCdTReJMAtgH7TWTzXVwtL0xcbv/GNRqUWWxeNFdAX2R4IvZSZGHnvA6SsVHhYMYxNAB8mNJ22CX8IbOCCI2+XvR+53YuYWSTLvO+yNcJz7vtxt1MPi8kEHXGpv6OBrLdsCIliCIHi7Chf9exRv7Rjy6ojAyvASbcwECzHaKLKxqgrIzXyNBJc9gm/DsfzopnXRmzbU91N10QiOsMh5MApUMb7HL2uwRHgzyziLLU+WIaYEdiOwDBCIJgOoZcGTD6gSO+8xMR079tXuDEbWTc9mTzctW663r9lURpERGzGxbjiQxXT7jrzJWf0a+qL8HAcs9wwbbIp//1yqMsKK/Jk6BumXB7+eQG2boTeeAH4+zlv0m769+MTFtXVj7f4Pcojd36jL/9tVWRqnD9XnLyLPUdTTZEA2l8BxtQev+h+8aIbhLg0+LzAX/UuK1g1e3a7w6GogQb3Gz4kSdw3+trhpG28ZS4hgPcXePJJX9cMK5vnQZRVZ+HIvduyejVsygcl1daT/zp4iz29yg+Exb8bf5Ntl66vkvDdf1aG34yYYcD2LBvj+tw2G4uEFFcSwPvpQmLEm60uaWrg0VO1obI6Wh0wo5GTRBG19kebkzZJb4LxZrTpatvL1qRtnD8uM9ZnRO2QSzfkQ5ZlLXXT4nEerfjbzUuHG+LnTY8ZKT7F+PyebpwUqcrnvaruxX0cPx0IenZ8tF4x7H6lq9TpLOJIyrjTrhRmrr97QrZVsvv5YIxb2gnSm3jZrNG7z8Bt6O07yKvGYPlpu8K+7Je+H7stOAmDCt33HTGZWbeK8qvTlq74/qVNBsAAn0bjS39fMFinNE8TPB8KJ9jSf8s2qaRve5OPZ5It5X8eBLs124fkdq/69xiHNa+9XZvo8monBbbeacMl/vHk/WHo7iHdWLNids1J3IHty9qMHsaF66ZR+y6azZPXACerNOsZ2BBlidiDxHzLc35mVG+C4sDbud7Q4KB1OwGd4Sl7DuEYNLTyWXCbRZM5o4+WLzR3W0yGwLzyUhx38PMkkTgpKbfvetP4dZv1JREoejWbZQucwoCXweLueVkgWznk4LH8KwZ+YFf6MynAWstk0lu69futpZ6cgtO5KJcKibUpxJG7wRz1z/KEeycrm5dGjbtOd1cTp7lLHLsTn67umMXZMozqe5ntxs4qYbv7XfMsj09C99kmv6Qmk/FLu0taKY2+eVkjX4zzXzLtJwKtUZ1gnTVhFr/aswERhp+5618o9Drh+0Rhp2dfxcvuJl2w8bnrJsyEPhdygC+5YjprBPoqdotEImfjEnYTop6yVY/FH+6e2w+hVu+Qxd9fyea9Knh1DpTHZV27b61lewJOh3YBqdSt0dWf6Sc57xJ7QReCfNo+nMzh5cT1A0NR1Sn9L63rGmGU2a6e9p8S6zKb+QQadMZvesNIFRXT/9ugtPhxV0qJ+T9ibo5zJyqntd48YSXpqX2RyWPGn1U3h/X/DRpytKUjZ6wH6Tf6B53Cqa5YaKcZjmeT71iuO7TAGbxdna3cfKV+qt9O8pe+gw9kT618+llYLT2ylkja3V09B00c4oe6uYkQ4J+rybCfmMW3PrE5kCuVNOv37nPybSVovOzSD2xH6RRq962ymLyJddvxJr4RVrdMhoXZHAT+Pf9QfntvwWYXZmh3eW/t2yih/amt1BoXEnD8DKbnyC7H4hPv+33babvVJdvaifb57o8aKKe+1TE9HcjVI+IGYBru51lFag/eEK32XU779ZG/Wny2NTRPCc1QVzi8q32w+WZttfs4u/UKWsP5NpngEwl7NKvtIGATCVMZ48UGTL83Spa8FN0kFj5GtnL+60PjISADTD9TPO3vqsuDk9qajtDHZhNefk4muceV5+m7xHa8KMJ9Oa7qmqzDjbfpL4/vRVJbwNq+/PuJpLchtOL3yai71QE7IERpciOxNzEEfnFU7B4MjaMY9T/4HuIq3v6THVDbsP1OiCLzVOsi85uXY2zCU30vg8pz1xcOtbzfSLqq9QWqepWc0LGvVNhqj3k+93IJlBdi3IFC1thPx62qeYR5E8ybnARpdoizjYKTtn6uPDkWnEb2Ue+fxEnR2PWof3T+c6xjuFQV/VUB/RF0TjQpyukZ4+BLWTk78gxDfSkuS2iZ496Ozpa3G3kStLczIJ2Z3OT0hxGmp+lBOOyQVrMGAVki8YvJS2LY875nZlHLOFK7R+8jTw9czeuYR+GdrVAmyz/baT5/q2GL66It3M8uLiJ/Y3Xiylw42VEP15HSSCX1LSbzda9fsnXnbmMmjmSBd1s2pvTERkiX1rg0bpS5nFQAYO+bebJUFYfz7bVv6a9d8rI14vyPoxjQKj7XJiTQ/su/Ha0dxulCbpkv1F10QTIUF5Ox0cnLNEfODQyNTf+4Xt3mCcKvvYHzn+y/0Z6ujvHiv4jfNvslCHK558N44jGPl4/SFvv8Buz6N+MvZubBNo419gOPZlzT5n4+qKVcJaxzGFFdbakfUmOoK8z41PTD6xsoE8iXIg9cJqGbJRsrs+M4TEPMPAKOV8XOwMMNJbawYFqQvPMfz9NB4OzXM1gO1SU05KPGoHeAYbrlX2qcYSD5cDoGbG4U9ynC42hsnjjOki8ylkXa7O9RisfTe4357MpzzXy+uu4/PVUdnFamgF676qraJGk688bJ2AsGT+lfm5zt7MIJ9VdB2UmjYKJuixpGtSkWm+0E8u1rvlBr4k2MG6NTOXdrPzLomh17zpaaG86WJS5UyudhzEIk3aYpjpoW68P01Y0vTYRMPHuOt/udaqpGmNJou9ySJ8kZhE2eo+DnNDQldZ47KF1cCuiV3SokQ56ITB0VaRsH48GLqnUnVIgG6sHqpFU49aodSHN+vFXBE4yVJ1RBqnpOE+bG/wpdFw0DuoGpkkXJIM2hfkRTgJE7dK9XzswqVd8J60LuEnCTPhHskjtN8qgQ6uxT3+gS30fFy1GF3f+yrJm0OwmNkL/qX2OcuhJZL8JCNsB9vUYjt+RLMHuQm+AG/MhWzeeqJ4EE4t2sJlUD6hxjMrWG98m7Dnf5ji25Spvr38z5qPrS1QxQr8yh6H97/BqPYhHqjwlXL8RomzSaAaEgd4JJ1Chn9IsKe1iyQ6I+ieIq/k990NGhlTLSTdLQH8xkqHoT7yWMxwEYZ1LNQ+1X05B/Xey+3ar/Xm28o8GYdHEjU+n6sn5Ol2js70c0YaxwCYxcaK/oP5XT+43tp3e4mWJCxeG575xbGP5ygJtPNChDUH7DJ0ttQUfxhnY1XyIGB3n+lJD8Cy6AvI0rP2cxYiezt7lxqILxapbG3rto4zfVmwq8bZIuNDci3NFmx5dt3ziuuG86ZjZ22wjuU4Q9VDXGL0aPHNxmw1NC+4nT6nbHy0y8tYJd5Q/a/JuSedHc0RItIFozeR1DaA4ap9reAvyrZFzpH/W2T473M4S9blrgbQupimKC593+gDsHqJmqO9L3kYLFBgHlEETN9j3odxeAGfb+M2G3b9RfrDfzWalLFqvVDaBLjPqszpyJhG76JfFtCW0u6MFojDjc/Bv5Bd/pvadr6vJ23f6vLWfzab8ng2p8a3Xc12d7O1ct0mznQtY0O3i0tnT61G78vlf/DsdGcmw2E7B3a59mvoZ2XULY8JdFpLXz+3A3534mwXoThy9eNfo5ohh+Jhfqb5b09+s4SRl3MyvLPU1fhO8CKSp43dO16p+pSPjKtlKdGnQd0iQ5jCQ3I9vMPa8GHAh9hDp7Ywqk1UCBoxXeAkGNUWBZHjes67K404FtlcH2n+bzl13jgUy4m/sDPT7qNXNtBsq1XiiQfxaAzvJamM5MlTCcAvBNcble7SR3zopbxdU6vdD0/yvqELBE1OaJhGTruhEXToW/Z6wLgLDQnH4raLi/aiGo3EGxh3WKRNUqXPHwYROFlu2cx1CBdyeRmxl9NdU4+TR9E1kH6ZIDnYC4YC6WXQUcadkSlzQSUP4ZUEJw9EFwoiSb7rwVmXSf/0OVByQiXXv795votvVCCv5BRN6zQREEB4uVGg4Mp2CrYY+yIlGANapDPZPrnHoYkEwcY+7rkqnj9/sM3GVKCHfesa02S3sB2CaL9Zzc6WseWfDRzl0wAE7U4tuCNM8Lxbo6W89vde5djOQR3y5CKTHpaHZdCGt3yiPepNGpe/BwWsYl4Y7rufa9zk5tI2m+q+fTDPxoLjgv/6eDUKUwRv3Yvuv6F2pO02ai97biE6CVP8lAOzEa3mZPISE+LbpwytGddjGe6fTTL5F/WbW/OqdIm8nE3wjjaMWqW0j1ElR2UZyS60Xob0R+Kn9xmCQ4+idyMpQjVS39wZIGbJt8P0d70e/C+/bRJapn/Gnm6Ct9NJkbplIUk8welmwT/SnzHM/u4eTyhDX1DZB/sFJJKu/OgvOqb63nl3c+rh8q69zPTTqHnF5oPmc7GYu1f2RfLFdoTp068pSxKYz2XzX77nrKcLZ83E7AdadsJr7nKm/Fwi8xGV1VtUZpRHM5VVmLcnpgbrnGS2mlU22emORsVP6daB8TzAck7jNu2V6d3jiHuJuFj5S8AzDA3kX6XVtvTHWKWi+5drRqWU84T8hMfpObPckbNQXjcq/+9mZQFlD+fQD7DxOdZpf61XRh9A/+VNtZrMj9JFmERHiPNEkeWAvTP+CJN5+2XHjSChXculRx2CzqtvU9kXgZu3kb2tX2udeHu0vRIw+N+O4VL8J3h13eNAm85sYS7cQlK9PixnLN7audWv0m4vPpB/jTWLmMaJ0SHHe6y+DZ3UObfYPG4NNHiZp5gZ8/27S7NMLfsw4G2VzeZKC8Jo5y+zcmDZc/o1tqt7v5qSu2LyYxvntt8TVBun2f/OrbbWXmjAwfdn5c3kpqc1DlD1BnU1Ft6P/oH6GNhyUs5/j8nLaz/pEJ+Fcuw3Q+uTSOmVCcu6ijHb9MfgLT9cl59bNB3ZlFGnqnnnmwjVOndjxvMPI7rGyNe4G+dvtm3L1NtSfkd3Uk9XHGdQ1P2+At2ZNenD5W6v2uW/QsYw4Bi5yLPXTS+9RJ5bwc5Gh+Mf/pNbjyU827bzexFAc17QZ/QRxoBytgEnMTVHazrK2bz8uRTskJCyb3GmbVvYikz/FXsrdp6Wdm2jdeHc4p17GhdEm7JSljkPR9umdvBXp18GLBBdiDxns8NEY2ohd3CoG4WY+9ehO+kVGT3RKFU9NNnJoQwUtA+Hg7rIyMG6Ms46yDL/5WoyfI7ejG//1BhOmK3IzK6/m9Kwz1NFt5Ka5pskrAIyz01HlIygvly5cOK3Pc2MomtOu22wXabMtE3Mt7zbJ5ols/Jt0O1k388nqfFTdhldRRenN88RvqbeuM6mdTKcc8bdzhyd8S54KXumTRCeGjSFaFrZ851PyzJ04NIalO+FlziLPnVzt1GuPP3X+SfCD6lMaIN9mf+UETk1oku18nXRz/SVOIHuDPi0YbiuwBi20m8i4CCazvVE1nUROtWxKvfTNqHTS5QrVeZombcH4K5tS5kniXK4zL8Z9AvdZGn3k6wBebz05sEZV8w7aL054aJaZeiVVp81l7A1tDbq5BnfOd91IMbUpHGjjlUy6aUNqPCZvgzaOEyt+EK0bDrw+3zj/zp9mF9bBnO1kYTRoBreaB36hceMLBvzhbzewNidNSvlu5qiKbigL2V4vOp2qeqU8986bieBs6lzNoLkuld9Qx5p8TzZvSnq3uBA3Gu2JVB219fco2Lin37ZNozx+cc7rHh9uMbinch6fIogGzTXOJNEg0LRVbY9uQcDU61TrXK5lrvUyl2vDp0Cnumzr0RqithTZBTpA1LpW+sZB4MXegGuwm80smr753+CzBLo4Dov+6qb8u4nzHftxXYjtLAxvNyL5KE062y9C4sQ2pg/Tgr9h40n7DnRfpLtQJ7kJ7FIGuFha+/wal58MM20TdKGfCK6RtG7KqWCRpDfa6ISyv1J2hGlrrewiMtk5peOZy7X2T5MtU6553qBuLzos0GUpz2Xs7R1MemcRCW0V1HE7p/1yppRzz97zZdZzg2E5f91xoguj0fHQf2r4GfrJjlwa34Ls3atti273HXQgcy/+teCC6drTsGkrzcnX8JMMK8Lq5k/wfPF65FFYTqd2w9E2vXxq0H93dgsTdVp3FmyHaIHB6Hovm9eJ3n4sOh77A3DbvZ5P07QsV/i8xJeqgI0tEEyqLtsLpdK1jppF2CVmWc0ELS7GBhuK9fMSUbz+Gcraya/eZHDT94ktt14YdfHB2mJYh/QZOAwXbEDf+Y0CIxr7EH8nl2ZIT7P4FMXl7RcTUI07XITGII879pDHxbF6ERbS423msEyllk2jazC+KF9ysTnqzWOhm2ixWUQPupRwfBl72X3d0f66kwemvjmZR5+SiP71dcvXgSRSNwANwDphoo7GHl4u57a2mQROAwFWqqXI/Ynmv0Z2VBSXdx/kQVRv/UL6MHxxZdiJozd+7oU9Gqvoo2T/DQ+XDPK8iWOtfOrW1g8vVxRvT9+asbaTBftdTGtzJXNqbxtqZV6WQ2XGeUvs/5z/xgZYg9N7i3VObfKSAPs5oTXtqdevVx0BeVbqYDDeQJlrQLOTgRw+Dy8mXIg9UMqALmrAzV325U+3i9EbkdMzt/i3VhHO4TTf3cGFOXS7MuzutcVogGTnNkpz8TaaJMjVzVr5vF+z8D0YWJrrmUVEvxkBmPRESmtbJkfdVag9Slxad8byNXLMco4MkNVXUc35E53IiAVyP4Ny9OUW5Wmv7pkd11ESktgyLXVFF5tqWan33BkcO3lGA1y/mGHCcRMTRh5ZZ8BNA4vYkTUqZLl+lSzYZklqlcX5X4wcnMgw8c6dZP27E5d/bjrvuEwasZN0DSETj5NxcSdh8M0REdDPKSijKB/wXVAGzaAnNHAiyxkcuNd280H5N3fCtv7DhQUPnGoKDSYwdo3bMqCFxZGwDyyiRuHiv+Wn3rgw91dlx3maN9xjO00izRLlnD91oWoeCuR+XaknP10BhmWcra4QO3AZtgOHLj5FZeZOoe1iXA/fZ5BzQd+bb78HaestsOq7YLOV+deke0EY8FsX16vObBZOV/Rlvi6YBaZiE6zQs42oYBOZ8ut1sYN+bvIL5eCvfs6te7MI62wEX98aUSIBe4PLjptuuL02H/Ur0WC0p1+Kjko5npwbhQtRN303yut0tJnUhvCmP6xNoM+c3Piv+vd9UWrdmbggvJIPeZNtXQvCGG00qIEO3vW8LOgmEjDXbbNJaE3el3oJ5Vj6MfMJmhPY9avfwfto3KdOXP+qWyPRbac/79Edd6CuMA0c/EYbdHbJp5LUHTb6dL9527H/unF7Fmzm3mnZ0IvfQOvdmzGUaD88ua9hmEXYQHf1FttCeXI/n7VfiWx3iKNJttPVdqEjsNFLXOL0qN94UsY44NYvflr3zj7sjIuaBc/iHfs/DDbKDy+Pxu9Ecv3C0sJdXVhD+1XqeKLXV+2IrTe13EoU3T7RPTPyZ6dHgn65N+ncmCyDdpxE4g3Gs9vGBvF1DeUCfWbSCOpXo1c7OfDfkbl+GmeQL2ADReMYdGP6oJIuHXu7xpmDctN0ZdUHPcIFWsyfXPPAVA0vP9Tp4tWfAjNlBGltwoT4ytgC89aHa8JzMnZ/e52g4QT6zYfh9aUEcYuImc9ZMT5dauOR/dmbQ4h+m4Vv19V00xvJpApk4AzLY3bbLA4u9GWNKE52/y7Ki3CeqqkXrsyjPiXaELwLg3kNH6ef08CNmz6dduwzxdEbp0fzrqEoLs+i8NCGafrHTvj+28yNm22un/4JBcvDOlADtided2HN3POquZNS3sn56dVd92okxzQOP0kl3D9ciD1E5tM62yuSfsus0F4/k/QUIJ50EAFj3huF87Pi1gyuy9S5M9Q8ep2Uuw4wWhBoFmuDjrJM+OnVy5LhZG8WHDSZ3cO+8yhpWLGDGjsNlLcJt7w2nUBSOZqTHWUn6HyCNOXptCpOBqTj6nY6DeUtONGy92kJJ5dLvHN54ulTveYuB2ltjJHcf6dXJ0fR293oeholJdm4+qR1p6jJoH5OpySTvvNhowHTXNsVDXhLPe/VPZF6+uN4OgWcN/WbGNEACk83Nm5ERK/mm9OIAwdE6U6HAABGDUlEQVQdbBxNp050kt6dQNNwZvfbo7l9+OtBXcdtDNjOxg3jD9qfDoD8SaEt/Juq0dPkicxlMoffdKBuATMH1iEae3VSQJrJCE1G8AH46XnVbSrfbFBmpze3V0x1TDc9dAYT5beeTnZu9AQVngBH+SGfNLi5fkamkQ6gyjcoBeuGdSNJbH3CcMppbncS1SwwujQaGfTHFP/mWJr6M+VbNuWHk2rqFtJdyi3LfFp61pelbeHCWJFF3YoLF+sKyKTpm29YSMfz6fJNzUzT7sCI1Pwp4aRi5MEpsnLCOdCnxY2fTDLujjE+CAvTgjLOcpvvwGPezuUwufUjBCzY+q7Z8Tm/16uJXP6Uv307HJGTtFf5S9x2jRiBPeIHWjpxWOpf0c1Rv9eTa3abRGz9Oc5z22rrnB9wNP0B9n1buJkiSiOUf7QoqvnkbJvmkwVB+jQ8Vx8ytDOV0/dBYnU7pg9PpPqTZzggrOUz/Zs1ABePSx9OCOOJ/XrFbUlDdaNBz+XWu0oKB9+qi/QGkGJzJHW/NPA2V60F9aIMoOstB2Lq57TYiZnh4il9V4J0RrrV9+uzbFaukklpyrvOiX3VR/OJaH9VZHxiuG3M0UQHEuWt1vfedegkBnVPqfILp4pXfxM2yWS7zwvzTZwi0tNDwzBxPKZ2TW3j3r2JE9sB9J1mw+noqnn0NwLbR5TGNdXU2FWdK5y9W5c/flNH9x3GFZyA7T0rYQ6/CdvovxS7Gzyz/l0fFNx00GyUjXTJUhlAvjRXmaIbJxPab03f7s0CZ7Pqs8CW8zeUmL4a/OmjXGXwk702wtZ20yDQtlF707nFEz+aXttvRhPGJawyCdpMyPdsvdzG01s46OmXrvs5/MYvyBzGfQT1zdsoUt2Hm8JRLt9/eV2TUf92g5nfF6GncKY6E7W9Wmk0zJHdWW4PkhTnbymfBFnpyz+qi16Xd+Jv/Lm4jfv5kcrjdZ3zo/KLtLZJFkkdpYH1qcxjGLsU5Ee5yvNonG/GOmgzFYJ+0NjnReYsaoulbb25Dt0Uv+JkxfR5L2HeofsyJ2MCqnW3Gbc4v2GYYnWQplGk356dO/Mbwwx0Ocrn8wD9ahmjH6cLGnsgu3wQMfMGkZwgThzuoH00C14SxAV+fb+B4YTpMo6qJxynNbZ9M+nXyuGfmTAiXeHj9u0Qxmm9xWZz0tP1d8MN4t4O7W1+cnI245jyvGkc+L35II/RqUgdq5XwNjVuo1ucHN0F4ED25v1g478JA//GGyQ79cEsnKfg5HGRa7ABD9OEto0p84sIF2IPFNzpu3gVVO4bObtF6v7dxc+TQU+ZCuSJN2hPSq9zjcLeoV3vVC6RopoN4+YkcudEa18QF49/Hhgo+rMzUI/kwBO1SQaG9WloOhFrbDa7953b1ZMlgSG/8wTTmqKJ4hKxnY+I4FXHozgiI8QbhqFRGgygowWQLics65L+ZjJeTlF/ID14tZXZJeWMIx1o9WSUYPAlrjn1AijyDPRK70Sqb5v+O6KR4bWWZnfySO8ZfwM5wZiq+rpvgDdxi8RpWdwtGfj15TvH05R7UPfWEg08ewM+b5Caeh7J1CuTYJA1MnaXE+EGGv65iWy3oO0ga1fBdonoZIFnX+86ff7wOsSFsjfh479rCQfF0tRlkX5bA7U3HtAHcUSTCzvJOnDXLDR6Zyvi7eruqD6vrCej/sCHX3VADb+dwF8fL4a9anI5kgv8+Ymz3iRNJEtTL1Yko0m7vkg76VqN++KPpQ+DTj6tuV536frY8CTiYrtcvpLWuI8WYUNhIs9tnNG3/XYKc5+EOjetrttl0bQ5WY8mXGcjVLTQ23PbPWHr4jJ+XBn3bjTaeTzsf/v+cw9lNqqj0UJjiNPZq/rJHen26yveh/L0dLTjtGN4s0DlxlyjRaEmjAy2S6dP6KXlJHG2gUcBi+hC3mnGqiLdxcChLGoD5vBd0/26k2p1/JHBz5SWfJTWjwM74xgNe2BfmHBAbj+uWtP+UJ7IxsngVp/1bH6wr7O0f/u4fZpC+cSmK4paywjbSufUs0nTyIYLnom0ebSWdnNFEWg0Ropte/y7t4jbkyEcr+zoJ9pU0si3o/0bbaLV31DoS2M1E4bzuzdWhjma2zL12r/edW5lYTFwL3PKo4XehVO/Ks4KN6dhVC92yYPV40+cV5SaF+VdlSFZN+C/Gd+NupBgc3PozNWfE88FXES4EHuglFM4zfdMxRpdetoxVcOp7L7Tq23BENKdefr9jlSNycGpWaOsYVKyuXYxSovYNOi3GLzMkTEBA69yArVeo1cnBvD7buHpl1QHmH4XbIk7b5I5bdvuZquD5u43fFI86B3mDxqqpSxTEjmay/EYns3pKN8SM99aKx31kS2T8Crm8q6EU06awBXIzYC/eIU8bk7J6GgJPDWGj8v7zjvMG7w+ZgPXjJYTnJNbjLLV1s2OZmfMpupZT33WK3iDcMo383qnreZwcPKkGXgcZ2twN0LXzi00aIL2oiLP7WRzPjfvzPdtVTeUJEzfD94epWlHkytjjAvT2rhxz8zuwmzdJdgNrukLjGy/s8y8xvwp/5YBQDndXPIgz6eek4i9OaANP2WpJw+P4PpcX28g8qas8lwPjuZ0ue+wpK3I5ry0uxJd+rM4f2DQ+2deJknVf3jSxOsu1UXTfxt31ZH6z9Uf7k5sdv+7ndxqiME3zcsOtm3Rfdrn4I5BCfOo3ghh3Zq2rt9/rXmibgb9YKPn8Nr5chrbnMq3fszJN+xLs5NTIF9Kds11boOnuYtTPAU4/1bpB7sc7aAX+mM8AeMGPVqWLp34b7ef83kN4ZnwXX1q+h5XX9V2mG+oyMl2PfZ7xE4mqEcmXPj2cWm326P5JCPeCrGyr8d+Jwe6HMGq0Uu7yQJ3K4MZ8EP7Lf82GzhmN4vlZ4SERo3uIX0oM9bvvJk3+kR1Ek9WzrJUOyObMNUPuNm4drM9knqFE77L2bab7SSX9ufQNyeXlvKd3NrB2PaismK7gVPUzYSUtvHO+5IPGcq4nLLHYPwpcxNeiRyeSdW1Xl5Ml++Xe0R1rOcObaEctSG9rmpuKzIOk1jUPvf9JOoG76fc3ONOPPpFqu61vSJ1IQF1iQujuyiLbX2Hia3w5qO5D9fvLWdwG8jdhOfdDPKtDcDK0fULtoMI9FPuW7H+dpboe7LFnd+MWtJjFrfBXfOZIhRd22i2Oj21m4LDtJc0d2y1iGYDytaWrd5ohHZl5L8Xrlj91HyiydSVIFu8rYMCuDpf31sbLJxILJtf9cYC1190MJt/8BmeZJXUuNE43aPG1oNNuSY9QfuMF3ptfzwFlewzJ88oHMmp9nvZ3ixi/IKdqcUB/rBMcMyh6TNxLlRfV97at/Y2OZR6VvwCZgyV7Hu01bwdZ2Qx4eVqk+kYpfTnbarMol+xo539U+Ixeap/O/3v0hVmpLM7EwSR/HNYKDF5AEHjjVcqLto9WEd8ulHmouNKfZ0jytil+DByHJbmTZb59jun2wI9atOO38Oser381nJ1dSLMS83vmpehDouSgTrF6YBmXIFxoJugDmOc3cXQBZm83Ks2ZBR3pT8JroTNHX+qWyDdTZ/Ukyfqb11bi+TGDQM6Xte+0cU7t9G2r7Eymo2Ovb6m+BmNyVUnYAa28fcWz4sMeeN0CNgdk12b7O04Ke5T/bM182RmEdIt+mI+i0+np3My1urKKr/pa7FfxiiSC8e9K/UnbeNv2aLsYft0ulvLAyLCPJ3qW9CPluDKnG+GNEH7Dyl6XTpXJvc2UWPdRZvjDJyELSxcFEfOLMPOJ7nBMbxsFBI2Nut29U7lwHjZiZ7OWgoveN/svN2lho/iG+lVP/mwS5y9cgw65t4kx3TNb2usLcaxBuyYTvp9o9lvtJt9eF3P0o73Xl2N0us7/QXDJuq4wzzsll9qjRzvJOgMNczI3VqDcw2jnfZ+0DmqS2ZVw/23So452GjAETnPnbJYOzkX1ZPI+B7F7cmDdysx/n38xZDwkyOB7M3OZ3QzMvbdAGOYljDeOKzRLkgzMRK4RTkaeVIa1peeEW3qjgsf65YdcDnj3+VrN6+C5yZvczb11tTtQA71E6TRpq9diKly93eMmjwYUAYGJtw9MNJhfiCaOvlQHy5EFrUxievlEmUBbhoElYJABxLXnTV6p1fPd9b3Az+oEqOolsq3p5NPQLjQOHILMiy2xzWM2nLUdqKy7OmlspM6kHPYf+9iR0hfj3lZou/7nSjvAn9rJ7qGwfbS3Zno39kGutwIviu5htHVrCJ9Oz3c4Nlh9eLqCl3UfRWlI09xr1mEDRdI/JiiOMGTqT0W9HGzeaIXXke399Kx+oppH4aPZ9hfLxR6aBv1Bjc+7HHQiwxs0l3cjxYqhwzr6Mow9s0Ok5J20SDb/04rRsfmXezP0C9MtoZjiJ6tclr5F7z7scfQzaBueVsr/L2WrhzZ6sXI7nG/wzGglls27sKxRieOpfGVH8N1QdsyGHu1bgOZHObTYM7uWmVPRfXB/Y1lYeNy5RP0ZdXfKA0g+0o7dDFdC+PzndiHzbgi/F6a/MZRT+QPF6ROq9PX+l89nhBZbfuN1g7WsDimfzLx9XWNfj9BH3CS8hk7rP+uCrszf9YwqKdnBldmO/VlZ2hhdVd4IvYQOZbpm3G6W18aJRkNanQntHNbTlKmnCXDiRzcwayLuzAYbU6pzhOSGL8fjEcD3vpdr1zD0e+r2jjMDuwsZldzOs6TzBsM22VCgnxoMsjLZZ/rNxSDHeDd666COMJvx6KIOU+nDUu6/ALmcTJl4wfIU7iQz0cuLte5RgsNpV7pSZPyT/mOWXQS0tcrrJe5deMnrfU7dlPlc4FZP7hDXOvAHJaeiMZTSWCoxrs9YSdoqm6nqEv7mMVIItsrsQ5YMSfv0w6mlMvJSjhNvdTB9Drgpo2X4LL4SV5th8f1u5/NQheeyBPo+CJjZJYJ87L55kgEODH5BPWoFLcuxuqJ5jbNmgZ/OslHW8IyD7P5hiC6LSdx/LdUlhYYmsmY4ywJdoWXlhrma6r1SvL03dNNLvpzlm1T61z9fqBLp+on0QpYdkCqW9T7GfyKyNET2fzupa2+gL9z/RYullfZmZeCXaTVr9tRiKewJU5n79vHZXc3TrZEJ71LndscuzqCu+qltoeaZNBVvfSIjV/daxlLSDou37ytZZ+i08UuDt3BeJzN8/IOF2VVFpmehUar10upPIS4tu6UfEkXlL0tUw3a1L/m+8RZ6o7jDG4D6sSL/d4oRoE2g9GF5bU3+OHU9eRHoB8A/dQIA2GAbRCdyMG2GaXHP2sWvKXKkxOewoW6mdL8HVGIy53wkBJ2OXUf5LfGj2UW1OHkfqQs0y0OYvOwmezwv11g9nnNZNWFEG53Ei25v7Euiti8czKYE7b+VJrTcyjn1EdmvR0gb+BWhVke1Zcabns/h98hjTJg+9JJNEwY/K07ob3OMCcubD3RG3Nm/THVFXsy1tdv/Ha8ubYqZ8hTqfVy06YxZZGsYxD7LXrNQ4G2ZuyeXmdFkHprTmr7I69qRgt5qXVvwtFOPHiPfsFtY5v7OBbk89dn4thT0y0wdgpkjsI0Nx3Bic8QaNcRXpeE6fLfrQ3iQLeNG+jvvbzmd2Bn2O8FWsHMWH5U/ijqyg1b3dNypRxNf1bsiU5ZStvPQID13wX5zXzHwB6xn9+JwhHVwfitdj3pMve10emg+iObv0sf0pfd6ssmDCdr0f/odjxGTd1bKLpXREbjMW8bJF/nWrujvzBnTws131MHv2obiz3N7RfohiecOjZ040w6ZRXVTbRnGqOg2mXNK3ejVme4YqPDepGhP/BtUOfywJ+pm6K2uJF9fr6q7IofF3/PveYD9P1NHgdjcG8HefdJUpth4Mff6KXybebbBcscYelfF/rJejshPhRT1l6OOucYBmniNIuspp3VNIULHjAW1VcdfdOcpAvCCU+wRQR68FT+mrq8wp0vMxh/SOB/aRNlN4877kPZBnHomM6tA/gx7jCOOZ46p9iRK9JZpS45HdTY+Og/qDN6m5Bzu5Rv2cuW/PMagJ+LWqpr4fgZwjR9h/GY9bmfi2n6G4jLzD8IuHMymTa8sXGY/gHbfyR3mGirX2zfLm19DNr4qMzKXI+mReq8n+Z31N/2bBJ/6Gk0bgj77JW66UmEC7EHSIIFBTWiFj1N/0xXIAaDyTJINZoRX8NVL0nsAA4bZmkE5VlgSIiIHcyjnyILTvw4o6QZIB6JpPOgOLLYAVyQF9GAujugLeman5nBX27fN51W1InNRt3mfJZo8U9kljGKyxlkWVKz2GoGfPPu7J2vRC6L/AJ+E/yX7bvmSqwyGIzS5RbqR98JaYypeUIv5Txdy7npGBrFCBIxg0azaI6TElsROYLJfV+W2MH7QZOTVzuVUn+lXTQwsvoggo+rN4YV1K+moy2DcAG/5jQoNu7akfpBb3TdcJ0IXcC12/KsyBNNEuNA2RtymAZctDWDa7HxNYOEntAgy2igP7nFCFrjzhhXAleK+KvM4RpOTYNbGPCTQVmgLs8TJ2iIlnxrBsqdpOMi1EhfDw38MqHhF/sX8lIHiVsROaplivVQrxCMZBIocxQxieAV83kzp39Tr/CtV7Zao1OyC8vX4SB9fsGqkUv1ZLZ1ByesZoe+3TcTXJjYVOuVlrvDXxdU5QJZvBwCbksXWgZJvkxLGeEkjAbQ/q2DhKBCev/DSRMflds0o3KBka7XTm9SG2bpo1SnJtOujDxu45FZfILnUxjRhGRNl+a5qXQQrm9rLpwsIv62ppLHeDXfpANSvbbJ9I2ujDH80pagPU5xQF3ENAu0rZIHpedD3e71TJTOIE+QXIvaxj1A65+r6yUNWFfwmfZ50NbHg0aXhhJOqhLbetnRMV5EkBvzNEzPIKxiQ+nJPZwwgDSkLHqltySJFwB8/2QKxOrzzfks2ytSU/7YDqYcgiuqo/6rV2fIenpGQYdmzOT8R2PKoX990bo1wexposRcyezjX+t/sEHKUPKm9KFrb0nq5MMutyzpJtrOptMpwH7cYTkFfbkZA4LzJs6gjwjD7ZTDKB2hrGv6jZNWKVfno0n57oJEUI9PIocZI62wjUZhiMT269izs8dPKEOIqytN/gziaxYhoU9sx4EnqwC72aTLbntj+9g+tb8nx0GguyQN7c8lv6XuN3Zq1n8buzDQD0b23M+DJda68dd5L+LTCPJq2fj8yiLls1s6B5DtNpF2fLPye5aNv8F7r5OzbQfop/lMVKDXSzir9cy8yfdUOvaULMV9Er3ZbH5oBh4rZRrk8744aZ9w2vjKeGR1n6gOBPKkM55aiDt85jfZ75t9nMB0c7Lt2Kpn99R6vKq8e5vv4Z1dYwERfJnuI9kQJi7GtrKJGZfXAIJ6chK5zsAirAgXYg+S6XTdtFCp3yiYTwTp+3Laav7OoeQ6iPSniswiEQ4gq4M5YNHvkRo35v0sh04yBYMkiLP5DotzV57n6LnMRuCxG4wVA2RTJ7Z1grbI2ZlQNAuGG5cnkL9VtI7ygLCaUzt40qssVPoy2cKzKH+S2DITsYum+MwbVs2CUPB8NMAqYrmTvTpJgcapL38XDu5cbxZyF3RkWWhvvk1Q8v8YHvlOyJdllsBS9vHNj0s9D8JN6HY+DYLfGI2Ydgi5ssZdSa4swsWVYKeTWUhpIq0Om843GBDppHPKJt5o0VP94rPitrN73HTKs8y6MFfyUsTmi9T8maq4fTctEDoZN2Vw5mSFCbrsTttGJ3L8bupwEJltHsQLZVDuHaOqXYBJYZymHP03msWp1zTLg4M193404REtEMa3LXSM8DJYm/sLlCdhXcnBohnmU2fhZcrrVMOFNGnaBukLJ9ucfsF37ffCMSzYTCFZ/EmFJq9h0d7XXzuhkWtaMSyI15NdPEYO/PYpMjJwSz+UoKxd28S4ww0RyeXBot6X5ppNtYNy1tPfZhODSL3CvxO+2fiU2zItskKkVUeEAdaX0SKb0RPzYnbtl2ZVG50cLn6Oc9vu0Z7KefpmjpOn6D/N7nkDRRkQSZo1aXbpKnkqgZ4K+qcyCRbqFu832TRjfTA2hO+rXNzNRBS0/ybOIAxtC0dFp2XVa9tin+AO6S0MnrGd4+0X5YaSjT1FhP2tn9zz6YvSW/LIt1/T7rzin/XuVtxGDzhlFers0heXjSuNXT8FhjelSKp5U/T59srk6qtNi6a/hAnprfk1y7F0MpM0pJzn7zLJeKFOahn7b6lOD22Y+kzbcgrdhou5PbRugG4XGcpcwgxvvYkWYUEG319MIsz6btO6Vzc4fsI2XDb+SGpvDxJw6/ooIy/8HfXPUR9lT2i6b8Bim3K6ofud9JKeMlYbtDdfRv4ErnUc/O6EbTZ7Jfu8kS+KC9LTmxQ245FN/113fNSLT6Z+0Lef5N2ojVD7HnXidSDWHT8p6eyw9laNLNEYYgTKhrbMsPlCP6Jj3CTtSd2VMhS3GK6OSwVsDdOXzv2VqehgBwX2cI3LN3TXd88bwVE2rF849k0iEtbJ4h5s+EX3AnlQ3ES2+yzPBm/yCIjGCmG99tljbE14VuJ2YTXpGfxu0uef49++/uf20yyrF9BzPRXbjLvm5JpwUf+maj9F4+pww0iTp/VZtDHOuIlsNbjR0IfXXcCd5QzVIrQfIwq2bWfT6iY6k7C2LfXKZGkRtUlCwh+BOhmU+VK9SFkk5yA9AxmHoBoC+13HPPPz4aEgF5YuEidp+pDJgfXcbQO+a19qKyv0drgBA9+Z98V2KO1atB1GbRn/DutcJIOTJbnfZqyBfbcPZ+FQS3FvNpRG7tEP6jHXPzfzSKWsU7AB3oQNf/uNH6BD/HX+6sRXe2+HLBHUPZMWf5q1I/+wnXYWmZv+HWSowafQ74WGC7GHyEbmiZ66kKmKHE5rmB3AGQwn34hM5zB1ueWj9riItHQlk5RTSJtkJrLsrF/9N1UtKjiAN9858IOzQIS6KFY6talhalTR4BfjFUhbts/1BDEO8jC/nPKPBp3NYq0qFTjJ6hfXzCDMWypQtkVGyN9wQB2hhlTwLNvFeaxLJT3TValZ3zVlfZzaxVURW2c3kD+BzH4CI/ogvNa5Uv4QvmSRfIXUBfmOYp+qmRWguSZt/jcdZ9k8MdeHo6z1FvOvqUMlzrl8zEBjZHihkRzIXow27XQCN9XYyLXji+rHfHrFTjTP72DhwyxI+w4SjIloUXhr9AIMnEv6cpXZTACmVNs25I9XIZh/fqBvTv40Gx+yxjnVZzCKikFW8vu4GllRJ27KZM5HNDjMACbbNPgFJjNAUh1p4zMLH8mlveTxxmmhNOevvxbT6Y9o0txGDs/nyXwNCk8eujxQ78X4L+VSHopM13p24s5HKeyTTPjaF7o6XzYUCOSTBlAf1DbVlonGVdLvDGgdJJ+Ha0qhOmO9jhZa/WSDN5Y1DDTYO5MR2ZWlj6s0Hm2bmB6J/Zh6kWpelPLC/iNh3mj9rH3I9K+o7qj6KhRhkrXcgoBdx/w7HRedb/3oiehj2+6QaAEhvDJTav8Sfm4BiyJot5j3apd1+j9/PaY+11PdVh51t5X2xLdJLMiF9SjZ/NTnkPZ2MdVej1TT5qJ0uj6SKW2zyCaZMjb9G/oDeYqbJhtdvmOfX2wQvwhcTopunpDpGvMjqZOuc/wbtYfEPM8bke0V09PNE7CpAiYuvV5Hue2moDb/UpbGhshFnycROXZtCMpZN6Vs4Mp8EbPg3Fwp5utGFtP20GYteYi6oMbZFnmJY3s0xRPeglPypyx6p6Rpbeor6VPsja3rN7WP7vib64Ru5I0WcI2+S82zXriNnx0Iv+uKwWjfLOJvpDHXDUt7qjK8QQj0Tzg2KD/LoinGvSJ9u556bQNoZVnbJsK4VTfMP486ee7jKnL0dHwUVW+B3ukY82zfRHGtTEM06Wfs8VF8/jHodZTH2gy2344DGgiOk5cLVTOc3E8L75tAXJ/Xi6MEhQ5DO60fFcrnbeeebK3/pUxx4Zt3YO8O4qj9KBgumE9LennpXSCrYLjl9Q7tNJrIN3NduRNe5CYIe83GgNANzDt4GZMEdTS3Nw6ZuhItcATtGNukZgfYQyO9NVog6vkz9jA6m3/o82z9NmM62FCjCyMSL4qoXT0on9E4Olq0wrkv81ukzeRdwXrpxgcmn3rxhOXSaSA7yNosYpWx/zwHk/I0rtWgc+w/ktO8a+aL6600ps/weirof6M5vCZes4Aonfzr/270nUB5mXiCcJt4ep2q1HEE6m7nzIwPozbm5FxCF2N9Gxabt82Gikb+dVf9N958ndMX8O+a9Lg6MpS3s6mnGzS+h0Vpk29r5ZSgjMP+YgpzTX9zIeBC7AFy9efOybV/9NVpATLP/21lmnhOSXBytyx4TD8ChSvVj5KzfucLJ7MbonCLHJvZ43bbusF4/e+ejN2O0LnHAepRstdaoretkx3DKIsG7gScP0UYG1IrLdo5blNO8Dw25rPxYyjpLOH4dAcnU6MOARdwNK55wcbHpYNn/c5FW68aWb2ckawDmbtskr0GGa6szUepnajxnarpKOuPeAI+Szq/tfkjkB8i80Shq5uDOA04aMBJ+tQp48BNrwMeDt7d4ASN96YtePnncCMDCtsPGm5NXStxmG/E2vrfDCgwT31b8fkdLIYa9wLl5uMq8m1kmuguWQDXedoBoC2T3gDH5GWSWF/1ymsjk74bDHqiNi5pSofm9/ls9ZueIK2euptwIP5uXQsGvWbXf9nwUxY6gm+e+jSauhLpykiOkrbjwKgdENVDH5+ps+XdZs5buA4WZe/1hSlL48fE3alXw/5o0Ob1T6j7PjzTjtEo9u2vbIJRg739Rt0Udn3v0zJaCG7S4nRROt5OdS3o+xsdFkQx2mxmv5FX+8TwW3qYH15mJ3vaznVkk6zfOT0mbidrTinuU1FOHyeWn1lkC9pURCCLaeu79NvFKV7JvXXp8v1bT98N0hfJixvHyve39dTO0ca2301bnxrdg33FFWnamHi8bWVH+byM0H7stfQdnQHP8tGmytVxq31YsZO9zsE60+sTfdhelqDf9ag+AVsm2iAV+W/0eclnsh7tXoJPZqT6flVQyZ6XWbKfd54EWkEYZ5YmHdE1mrpxE/LCn3RCRovQrWDWjYZrbJvJ3dK16uZUrCfs+9u4m40d0S0tblLVnMRNgbsorgw3Xon1F5V/t99dqIu9666Hm8aLzgf9qhthvLfcsauC8PziRzjh36vvs+r14ydcBIn95dpvu7gWF7bK4gs+QhsMfvtx5ZRmt9FyNBEskLWNvTSQ0XmOxhTRmC7aKGYjhT4yWnQ7CTkuu9CdFw91lSuXZlwFz/Sd1ysJy86983oX5PGbAEZFY2T2zwd0x+Ar/de4s9bB7kID1s8ojlxPrJlwcjZ2hs+XaFGsVFOz4D3SyzJIK+oUn5ZOWOLrRA/QF+Hrkrcl2CSmnYz1ka1L3pZsdKRrC9Gi3KoNCWFCgt9OP0Z/77ZAZv1Hm0V1AbPxO9W9cI4m+N2EMeoTvNdSj4L0288UtTpfxNnlUVr8YuwaOcvrOc/iuSpp8zLyLxKm24TjfqNrEzcsNnbDWDnPX8JYu+BnNoOIiOAY0IW5tFm+FUaa8h9ugFpgud+edaeM59u83m3WWcJNh4E+Ad0UrdmEIjpdd7HgQuwBkj7+kKTNF0Vyf+SWUplNv7wnKJKISApGmyvyZZSHKW32krcnCaebpiVKPC7OFDwz8qF/+N2ouCX/kfuldPTcYFoW5Elpc+L5nq4/CDtyu6f5JUIIOViWxpJPip7M21Pp/B5rwztNvD2/uz4/dC7VdO0C84DsHTPhL/ME2MKJzdxOhviNAs1nZoo7qe7qgl67eBZeO7zLBOycFr/RB/2Hn5Ep73VCNZtw6maCftTR4mo3v3LwDOQ34axVAKP5RziNj1ck1w0og7CCSeUmLj9RCjcY+fzWjbKSbR0MMOXYTBb262t3AbaUL96whJ+swPRoWHFQPlxze5SPs1OG4YTy7LxMxDanQQYT782pksGGHT/pjFc6dk8bBu+WFtSMX5iMHW1y6Idj422ue3TvlyZg1Z0E8g82zfUDC8IpC6q9yW9t5zYteopKbLnh+3ZjlA2ntLWSzsWFszKJjXGoTsXIYbLb3cCy+nRRqcuBnmsW6iLv8+R5Kje+lMXYTn5huEZGTXtunlcxs7mZK+EGWZMke8OISasslAHEiX3AZhs7MWnyi9GDDXLNwsugTsf5NcXV3SCNgkYLPJ0FtRw8a/qh8u8p10yacgjCS+DWxJnEpivXdGm/s+lsoMhtX9vdEJxSUQJGKN++zO1jSwtquT6PN4fARoTBBu/oeVS3mw0dUX0SsW3ffZKmyiPdcl+zCaeE0yyKoty9ehXk+3DDTyBb9dh3jG23m1euXe20eSi3VSqUoec90l9dG6z6aW4XDMLtC5RMnsQHxubfHb28uBh7BhZhRbgQe5Dk809ITo9fbDEIIYQQQgghhJxVtls5enwr+Sjp51xEYIIDPt+RstRPvpSbKqLTynhKvNxC4yaMin+dNOvcSOHlsLK7ieTyWQU/aeVuB4jkUfflhoRjO0M1LdK5W0xwQvs4d2UsMjQnvqN0bTvhDN6tOcEQutEbF+qzcMEqusGhc3NH1030LiXJyU40hv7KY/cd0VxWi1T26s9PjI4XPOZ6tJnlwcn1XefkzIJSbsOBCV89udupj+je3vbScVui8uUH+dSsCHQWifBF+ZRQOq5yls8bdOXI0j3NXb8pLt2bMnq3loXlMcuDi4D5KPdl9t79Z5gwv4YRd16lPOUZNpGt9eA/HVXSUX5Hn4bCNMR568vYCpeP2s0Kw1PiImZjjbktxG2OUR0CV9yHV8MPIxtMnjt3xo1OvAt8Bs3mxfTpoM5mDcx3dOOei9R6WfIybbNez9/0J76+ofqLNgctEbQp/cxXEwzowka++ukwrTJHvXrVug1ON8TX9kdyubYafiPXLWzGcTr9ic9xkTzazOVFim5xkOK/9IlVht5NRE0YqGs7C4e1T4teypxfs+coPS6vTP9Q2mmnL7M3UHX6g+q41WnH+F5MWeWjWV504+I1SY36rKDd2YV7256bG7XC9hykM6pvJbzc6YuCBdHmxiLX7zSbVDY1wqjtNG0K22qaddo2iHMJ1OfFG9wi4j951O1zSxmbT4/lMC1FziK71o2o797U9MU7GKrsq9O+QjerPt+KbB4PKu4FhguxB8h9v/mT8uIXv/hii0EIIYQQQggh5IySH39Crnj0cclHG73C3Vyn7RYzcbG2BoKzV8E337NMn6NJSYZXUvud6m4SLlxMixYAIdyI4SkhH275e7OBxeN2MSMd5zA+s2jYuy6+97wXTg8Ip3vKpecHWPPt2p0WEMxidJ14Hp10DvMU/Bt/fsLVhynVjYiEk7fqTK83L7Ol2cgUXg1v/EM9HV6LWBfmm08N+GAHp5GaOAPCE0t47b8uNiT9rf5Sqp+iihZagk+WTPHk1j22VfcJlShNi5/OwHDwnZc55/qJEyS6il/idtOcePJxR2UdyVGYP41k8qmXz76M0C2mxZ8U8jJ2ysqmM14kCeWE97hRoLkS3i1gNYtWwYLnqK715NA8SEl1dROeP2WcpNYNX0YigpttRKpbk5aonvfy2JWBz6smvA24Pc7SfO4G63X5BBwCmx2a62WjetUj0gvuvQHztMPocyV1YX+sQ8NPbaB8a/opd8pO/WG/AhvS1M/8SSPjb22ccxjN6c2g/o1uJPBx2oVY99mv6NN76D+Sp7z2Ze5uXGjqVkfvDf0g0Se2HL0TkUVW/UxMkK41py6HboP8j/rRnETyFfPnYc5vdcNX004ju3qOJx9NeiGdd+14RXr8CfnmXRDeok4EuSY/8H523+gV0J+Nnls4sW9kHNgEvTiHYUT6+DjL0ZfPyXhl98mHC7GEEEIIIYQQQsilxvnzsnnsifpd3ZzdQqydWBsuxOpEaLAoM1gwNeGEC7GbGs6SH3zVvSYt9yd/fNjwPqdgAk1E82102kz9rllgiORFsRYm+bUcR24jfxphMIk9Ouk6x9mE5dMT5V0v36M09OREmZbq1xpww0DxUyYON+69jyK5K7YH9Uzdnp8zatO6Kb+X6taq79hLm6fmN+oA6eS7L+dd8ntQR8I63vtCEYaDizFY346g/LDcvGyj+IHwe9ML7dbI590czXVou40X0BDULwt5YuSMFp/X6INeW8K8xPe40DH4nvvitdXY1kSaBclm4c2Fb+TbbObFtE4dFMhTX1eQaPG3ly+e3sLxkt4aLUwcu3qIsgfuRWqfbep01NY7fZsG29MLvbT3yquE11t8gjjCvloDcGlH+2OpbXpZIz1Q2mZpq9JP+1Dn90ip0cPxQmxnoVLlBBnKf3MfZfT6tjgcLcQGi2sS2xH9TUwQhyvjoR41Dq3eHPZbErjZzPWrky7vbyl9a20u349qG01J5Py21TmFoC2knCcdXmQ/bzdsrS4jlwc+fWFejHRiSXdnM8AwL0Z9tg9/u0N9QV0Gi8jDMgz6sdLm01cflzzaBHIB4EIsIYQQQgghhBByiXH8h1+SzblzOjmyNPVwkqmJfU1nnKlw3MR5FObFlPdUce+yWHOSsHsLvC7sbgyjRfO1C4OjRYKThi+y+hZW43YpPxbCXYozeu+frXETsumsDG7XrID0WZ2Pm00cV5EL36GsC/KdJr8bOXpxjd6dNt6R+16ZFXbJs7JJ5jTyjOL3ce1a1mvKeaXbxTh39Yv+R/nciasreyef9lWnT9029xnHnv0aAp2/t7B3CO9C5kXP/c5yrmgfJ0nXSfutJX8n6UPXuIvaqHkGz7vhuXZ00jJa62+1TvT9SKSfot8n1AsnLYNF/0FZHJ8/L7K9uNcTcyGWEEIIIYQQQgi51Ngey/axxy62FIQQQgghhBByWbOwXYoQQgghhBBCCCGEEEIIIYQQQsiucCGWEEIIIYQQQgghhBBCCCGEEEL2DBdiCSGEEEIIIYQQQgghhBBCCCFkz3AhlhBCCCGEEEIIIYQQQgghhBBC9gwXYgkhhBBCCCGEEEIIIYQQQgghZM9ccbEFIMucO3fO/H7ggQcukiSEEEIIIYQQcnbxYyU/lrqU8Gl7TL4ski+SMIQQQgghhBByRnlMvmx+X+hxIhdiD4DPfOYz5vfrX//6iyMIIYQQQgghhBwQn/nMZ+RP/sk/ebHFeFLw48TfkF+7SJIQQgghhBBCyOFwoceJvJqYEEIIIYQQQgghhBBCCCGEEEL2DBdiCSGEEEIIIYQQQgghhBBCCCFkz6ScM78ic8Z55JFH5J//838uf+tv/S199rM/+7PyvOc97yJKRXbhgQceMFdKs/wOC5bfYcPyO2xYfocNy++wYfkdNpdr+Z07d85c2fst3/ItctNNN108gZ5EOE48fC7XdnqpwPI7bFh+hw3L77Bh+R02LL/D5nItv4s9TuQ3Yg+Am266Sf7cn/tz5tnznvc8efGLX3yRJCKnheV32LD8DhuW32HD8jtsWH6HDcvvsLmcyu9S/Sash+PESw+W32HD8jtsWH6HDcvvsGH5HTYsv8Pmciq/izlO5NXEhBBCCCGEEEIIIYQQQgghhBCyZ7gQSwghhBBCCCGEEEIIIYQQQgghe4YLsYQQQgghhBBCCCGEEEIIIYQQsme4EEsIIYQQQgghhBBCCCGEEEIIIXuGC7GEEEIIIYQQQgghhBBCCCGEELJnuBBLCCGEEEIIIYQQQgghhBBCCCF7hguxhBBCCCGEEEIIIYQQQgghhBCyZ7gQSwghhBBCCCGEEEIIIYQQQgghe4YLsYQQQgghhBBCCCGEEEIIIYQQsme4EEsIIYQQQgghhBBCCCGEEEIIIXuGC7GEEEIIIYQQQgghhBBCCCGEELJnrrjYApB1POMZz5C3ve1t5jc5HFh+hw3L77Bh+R02LL/DhuV32LD8DhuW3+UBy/mwYfkdNiy/w4bld9iw/A4blt9hw/I7bFh+F4eUc84XWwhCCCGEEEIIIYQQQgghhBBCCLmU4NXEhBBCCCGEEEIIIYQQQgghhBCyZ7gQSwghhBBCCCGEEEIIIYQQQgghe4YLsYQQQgghhBBCCCGEEEIIIYQQsme4EEsIIYQQQgghhBBCCCGEEEIIIXuGC7GEEEIIIYQQQgghhBBCCCGEELJnuBBLCCGEEEIIIYQQQgghhBBCCCF7hguxhBBCCCGEEEIIIYQQQgghhBCyZ7gQSwghhBBCCCGEEEIIIYQQQgghe4YLsYQQQgghhBBCCCGEEEIIIYQQsme4EEsIIYQQQgghhBBCCCGEEEIIIXuGC7GEEEIIIYQQQgghhBBCCCGEELJnuBBLCCGEEEIIIYQQQgghhBBCCCF7hguxhBBCCCGEEEIIIYQQQgghhBCyZ7gQSwghhBBCCCGEEEIIIYQQQgghe4YLsQfAo48+Kvfcc4/ccccdcsMNN8hTn/pUefnLXy4/8RM/IY8//vjFFu+y5Z/9s38mKaXF/+6///5uGJ/85Cfl+7//++X222+Xa665Rp7xjGfIa1/7Wvn3//7fX8CUXJo89thj8p//83+Wf/AP/oF853d+p9x6661aJvfcc8+qMP7gD/5A3vSmN8kLXvACufbaa+VpT3uavOpVr5L77rtPcs6L/lm+J+c05XfPPfesapsPPPDAMJyPfexjctddd8nXfu3XytVXXy3Pfvaz5Tu+4zvkF3/xF/eY0kuTL3zhC/Le975X7rrrLnnRi14k119/vVx99dXytV/7tfL6179e/sN/+A+LYZy27ztt+72cOU357aNvFKH+PA0f+9jH5Ed+5EfkL/2lvyQvfOEL5elPf7pceeWV8vSnP11e+cpXyo/+6I/Kww8/PAyD/d/F4zTlx/7v8oPjxLMJx4lnG44TDxuOEw8bjhMPG44TDxuOEw8fjhUPnEzONJ/61KfybbfdlkUki0i+7rrr8tVXX62/v+mbvik//PDDF1vMy5L3vve9WUTyZrPJz3rWs7r//fIv/3Lo/+d+7ufyddddp2X5lKc8JW82G/39Pd/zPXm73V7gVF06fOhDH9K89P+97W1vW/T/0Y9+ND/96U9XPzfccEO+4oor9PdrX/vafO7cua5/lu/pOE35ve1tb8sikq+88sph23zooYe6YbznPe8x5f3Upz41p5R2qkOXM5h3IpKvueaafP3115tnr3vd6/JXvvKV0P9p+77Ttt/LndOU32n7xpypP0/LD/zADzTld+ONN5pnN998c/7VX/3V0D/7v4vLacqP/d/lBceJZxeOE882HCceNhwnHjYcJx42HCceNhwnHj4cKx42XIg9wzzxxBP5jjvuyCKSn/3sZ+df+IVfyDnnfHx8nP/1v/7X2tD+4l/8ixdZ0suTYkTceuutO/t98MEH1Vh55StfmT/xiU/knHN+9NFH81vf+lZVYG9/+9v3LPXlw4c+9KH8NV/zNflbv/Vb8913353/1b/6V/mWW25Z1TE88sgj6vaFL3xh/q//9b/mnHM+d+5cfte73pWvvPLKLCL5jW98Y+if5Xt6TlN+xbj4lm/5lhPF/au/+qv56Ogoi0h+/etfnz/zmc/knHP+/Oc/n7//+79fy+/973//icK/HBCR/IpXvCK/+93vzp/85Cf1+UMPPZS/93u/V/Pwrrvuavyetu87bfslpyu/0/SNOVN/7oP3ve99+Z3vfGf+tV/7tfzFL35Rnz/66KP5fe97X37GM56RRSQ/85nPzI888ojxy/7v4nOa8mP/d/nAceLZhuPEsw3HiYcNx4mHDceJhw3HiYcNx4mHD8eKhw0XYs8w9913n1biaCfDv/yX/1Lf33///RdBwsub0xgRd911VxaRfMsttxjFWfgbf+Nv6O4g7mQ/GefPn2+e3XrrrasGaG95y1uyiORrr702P/jgg837H/uxH8siko+OjtR4QFi+p+c05Xda4+LOO+/MIpLvuOOO/PjjjzfvX/va12YRybfddlsoJ8n5F3/xF4fv0Uj79Kc/bd6dtu87bfslpyu/0w6wqT+ffD7wgQ9o+f2Lf/EvzDv2f2efUfmx/7t84DjxbMNx4tmG48TDhuPEw4bjxMOG48RLG44TDx+OFc82/EbsGeZ973ufiIi8+tWvlm/+5m9u3v/Vv/pX5fbbbxcRkZ/+6Z++oLKRk/OVr3xF775/4xvfKDfddFPj5u/+3b8rIiJf+tKX5Gd/9mcvoHSXDkdHRyf2W9oTtjHkB3/wB+WGG26Q4+Nj+Zmf+RnzjuW7H05TfqfhwQcflA9/+MMiIvLmN79ZrrzyysZNKb9PfepT8su//MsXVL5D4dWvfvXw/fd+7/fq3x/96EfNu9P2fadpv2TiNOV3Gqg/Lwx/5s/8Gf37937v98w79n9nn1H5nQb2f4cFx4mXJtSjFwaOEw8bjhMPG44TDxuOEy9tOE48fDhWPNtwIfaM8thjj8lHPvIRERF53eteF7pJKclf+At/QURE/st/+S8XTDZyOj784Q/LH/3RH4lIv2xvu+02+YZv+AYRYdleaD7xiU/Ipz/9aRHpl88NN9wgr3rVq0SkLR+W72HzC7/wC/p30a+eO++8U2688UYRYfmdlGuuuUb/Pj4+1r9P2/edtv2SdfTK77RQf14YfuVXfkX//hN/4k/o3+z/DoNe+Z0W9n+HA8eJly7Uo2cb9pOXN+wnLwwcJx42HCceNhwnHj4cK55tuBB7Rvn4xz8u2+1WRERe8pKXdN2Vd5/97Gfl4YcfviCyEcvnPvc5ednLXiY33HCDXHvttfLH//gfl7vuukt+6Zd+KXT/m7/5m/r3mrL9rd/6rb3KS8bsWj7/63/9r1P5Z/k+efzWb/2WvOQlL5HrrrtObrj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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize the motion corrected imaging data.\n", + "\n", + "from matplotlib import pyplot as plt\n", + "\n", + "fig, axes = plt.subplots(nrows=1, ncols=2, sharex=True, sharey=True, dpi=300)\n", + "\n", + "axes[0].imshow(two_photon_series.data[50])\n", + "axes[0].set_title(\"Raw Fiber Array Imaging\", fontsize=6)\n", + "axes[0].tick_params(axis='x', labelsize=6)\n", + "axes[0].tick_params(axis='y', labelsize=6)\n", + "\n", + "axes[1].imshow(motion_corrected.data[50])\n", + "axes[1].set_title(\"Motion Corrected Fiber Array Imaging\", fontsize=6)\n", + "axes[1].tick_params(axis='x', labelsize=6)\n", + "axes[1].tick_params(axis='y', labelsize=6)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "53e82cb9-9243-4b05-b6b9-80fa0b6b5ecd", + "metadata": {}, + "source": [ + "## Access ROIs \n", + "\n", + "This section demonstrates how to access the ROIs corresponding to fiber tops in the NWBFile.\n", + "\n", + "The centroids and image masks of the ROIs are stored in a `PlaneSegmentation` added to an `ImageSegmentation` object in `nwbfile.processing[\"ophys\"]`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "id": "214c3bf7-f847-4400-829d-508747b0c39d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " image_mask ROICentroids Accepted \\\n", + "id \n", + "0 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [58, 165] 1 \n", + "1 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [79, 162] 1 \n", + "2 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [82, 143] 1 \n", + "3 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [85, 122] 1 \n", + "4 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [99, 110] 1 \n", + "\n", + " Rejected \n", + "id \n", + "0 0 \n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "4 0 " + ] + }, + "execution_count": 177, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rois_table = nwbfile.processing[\"ophys\"][\"ImageSegmentation\"][\"PlaneSegmentation\"][:]\n", + "rois_table.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 261, + "id": "8c93c470-92b2-4451-80af-ca0e61c4c8da", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize the ROIs and the motion corrected imaging data.\n", + "from matplotlib import pyplot as plt\n", + "\n", + "plt.imshow(motion_corrected.data[50])\n", + "\n", + "roi_masks = rois_table[\"image_mask\"].values\n", + "roi_masks_combined = np.zeros(roi_masks[0].shape)\n", + "for i in range(roi_masks.shape[0]):\n", + " inds = np.where(roi_masks[i] != 0)\n", + " roi_masks_combined[inds] = 1\n", + "\n", + "masked_roi_masks_combined = np.ma.masked_where(roi_masks_combined == 0, roi_masks_combined)\n", + "plt.imshow(masked_roi_masks_combined, cmap='gray', interpolation='none', alpha=0.5)\n", + "plt.title(\"ROIs on motion corrected image\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "15d2a42c-0c18-4852-afa9-3e203185eddd", + "metadata": {}, + "source": [ + "# Access behavior data \n", + "\n", + "This section demonstrates how to access the behavior data in the NWBFile.\n", + "\n", + "The velocity for the roll and pitch (x, y) measured in m/s is added to `nwbfile.processing[\"behavior\"]` stored in a [pynwb.base.TimeSeries](https://pynwb.readthedocs.io/en/stable/pynwb.base.html#pynwb.base.TimeSeries) object. It can be accessed as `nwbfile.processing[\"behavior\"][\"Velocity\"]`. \n", + "\n", + "The angular velocity from yaw (rotational) velocity is converted to radians/s and is also stored in a [pynwb.base.TimeSeries](https://pynwb.readthedocs.io/en/stable/pynwb.base.html#pynwb.base.TimeSeries) object. \n", + "It can be accessed as `nwbfile.processing[\"behavior\"][\"AngularVelocity\"]`." + ] + }, + { + "cell_type": "code", + "execution_count": 266, + "id": "14f9d8cc-d41c-40cd-9497-34a8b712dcf1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

behavior (ProcessingModule)

description: Contains the velocity signals from two optical mouse sensors (Logitech G203 mice with hard plastic shells removed).
data_interfaces
CompassDirection
spatial_series
SpatialSeries
resolution: -1.0
comments: no comments
description: The yaw (rotational) velocity measured in degrees/s.
conversion: 1.0
offset: 0.0
unit: degrees/s
data
timestamps
timestamps_unit: seconds
interval: 1
reference_frame: unknown
Velocity
resolution: -1.0
comments: no comments
description: Velocity for the roll and pitch (x, y) measured in m/s.
conversion: 1.0
offset: 0.0
unit: m/s
data
timestamps
timestamps_unit: seconds
interval: 1
TimeIntervals
description: The onset times of the events (licking, tone, light or reward delivery).
table\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
start_timestop_timeevent_type
id
010.2130011.04650Light
125.3155026.14900Light
236.2505037.55050Tone
369.7887570.62225Light

... and 159 more rows.

" + ], + "text/plain": [ + "behavior pynwb.base.ProcessingModule at 0x14069749904\n", + "Fields:\n", + " data_interfaces: {\n", + " CompassDirection ,\n", + " TimeIntervals ,\n", + " Velocity \n", + " }\n", + " description: Contains the velocity signals from two optical mouse sensors (Logitech G203 mice with hard plastic shells removed)." + ] + }, + "execution_count": 266, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nwbfile.processing[\"behavior\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 264, + "id": "e7a9306f-b2f6-422c-9cdb-1a4f3bc5c058", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

Velocity (TimeSeries)

resolution: -1.0
comments: no comments
description: Velocity for the roll and pitch (x, y) measured in m/s.
conversion: 1.0
offset: 0.0
unit: m/s
data
timestamps
timestamps_unit: seconds
interval: 1
" + ], + "text/plain": [ + "Velocity pynwb.base.TimeSeries at 0x13948091088\n", + "Fields:\n", + " comments: no comments\n", + " conversion: 1.0\n", + " data: \n", + " description: Velocity for the roll and pitch (x, y) measured in m/s.\n", + " interval: 1\n", + " offset: 0.0\n", + " resolution: -1.0\n", + " timestamps: \n", + " timestamps_unit: seconds\n", + " unit: m/s" + ] + }, + "execution_count": 264, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "velocity = nwbfile.processing[\"behavior\"][\"Velocity\"]\n", + "velocity" + ] + }, + { + "cell_type": "code", + "execution_count": 285, + "id": "8d610e53-a3e6-4e6d-afef-d03fb82ccec0", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + { + "data": { + "image/png": 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AcDfCOaCFyS3JNd/kvn7g9XU+z2Kx6JcjfylJenPrmwQuqJURzl3T9xpJzjaXWcVZ3txSq2K2tfRve20tO4Y5W+1mFWdpR8oOs4JOkksr1dqsOLRCSTlJ7tweAHjUnvQ9kpw3J5z5O9kdn9+h2Jdim6V6fenBpZKkqX2mujx+YfyP4Vwy4RwAwDs+2PmBjuYclSTNXDJTx3OPuxxvSDgnSQmxCXr1Cmco99tVv+UGQABAi0M4B7QwSw4uUVllmfp36K+BMQPP+twZ589QiH+IEtMStfb4Wg/tEC2JEc6N7TZW7YPbS3JWz6F5FFe03baW0cHRslqcv2Z8nPixpKoKzV2pu1Rhr6j1vO9Pf68r51+pWz67xTMbBQAPMMK5nJIclzcjSytK9dnez5RTkqNVR1Y16RrlleX66shXkqSr+lzlcqx65Rw3bAEAPK3SXqm/fPcXSVKof6hyS3M1Y+EMsx1lhb1C209vlySNiq9fOCdJ9w2/T9P6TVO5vVy3fnareXMkAAAtAeEc0MLU1tKyLu2C2um2wbdJkp5Z/YxyS3Lduje0LCUVJdqVtkuSNLLzSHUK7ySJuXPNyaycs7W9yjmrxaqYkBhJ0keJH0lyvngOCwhTaWWp9mfsr/U840W58UY2ALR0FfYK7c+s+p63PWW7+fHO1J3m7NdzVRWfy/oT65VXmqeYkBiN6DzC5djwTsNls9qUUpCiE3knmnQdAAAa6rO9n+lA5gFFBUVp7c/WKtQ/VGuS1uiVDa/oeO5xvbz+ZRVXFCsiMEJ92/et97oWi0Xzrp2nuLA47c3Yq8e/etyNXwUAAM2LcA5oQQrLCrXs4DJJ9QvnJOnXF/xaAX4B+ubYNxr21jBtOrnJnVtEC/JDyg+qsFcoJiRGXSO6mrNpTudTOddcisvbbuWcVDV3zngj+LLel2lIxyGS6n4T+lDWIUlSXmkeNxQAaBWOZB8xAzjJde7m5uTN5sdNDeeMlpZXnnelWblsCPYP1tCOQyUxdw4A4FkOh0MvrH1BkvP9iWGdhpntKB//6nF1f627nlz1pCRpbNexNX6GnUuHkA56d9q7kqQ3trxh/jwEAMDXEc4BLci7O95VcUWxerbrqfPjzq/XOYNiB+nbu75Vz3Y9dTTnqC7+98V6ef3L7t0ofMY3Sd/ohgU3KKUgpcYxo6XlyM4jZbFY1CmMyrnmZlTOtfVwTnK+aB7ScYjO73i+JNU5E+Jg1kHzY6o7ALQGu9N2u3zuEs6dqhbOpfzQpJaTyw45b+A6s6WlwfjdkcpkAIAnLT24VD+k/qCwgDA9eMGDkqR7h9+r6f2nyyGHrBarxnYdqz9N/JP+Ne1fjbrGFeddoV9f8GtJ0s+++JnLvGsAAHwV4RzQQuxJ36PffPUbSc67zSwWS73PvaDLBdr+8+26OeFmVdgr9NhXj+mNzW+4a6vwIX/57i/6dM+n+vumv9c4tvV0VTgnyaycI5xrPmZbS/+219ZScg3nJvWcJKvFqqFxzsqNeoVzuYRzAFo+Iwzr0a6HJNe2lluSt5gfpxel13ozTX2cyD2hXWm7ZLVYdXnvy2t9Tr/2/STJpcUmAADu5HA49Pza5yVJvxz5S0UHR0tytqP8+PqPterOVcr4TYbW3b1Ov7/k94oLi2v0tf4y+S9KiE1QWmGa7v7ibmasAgB8HuEc0AKUVJTols9uUXFFsS7vfbl5t1lDRAZF6sPrPtQfJvxBkvTQ8oe05MCS5t4qfMyR7COSpBWHV9Q4ZlTOjersHLhtVM6dLqCtZXMprvixraWNyrlJPSdJqqrc2JGyo8YLZofDYba1lNxfOVdQVsDQeAButyfDGc7dknCLJOl47nFlFWcptyRX+zL2SZL5ZmRjW1saVXMXdrnQfOPzTP079JekOmd+AgDQ3PZm7NWGkxsU6BeoR8Y84nIs0BaoS3teqqjgqGa5VpAtSB9e96EC/QK15OASzdk6p1nWBQDAXQjngBbgia+e0M7UnYoJidF7099rcA92g8Vi0VOXPKV7ht0ju8Oumz69qc7qFbR8doddSTlJkqTvT3+v9MJ081hhWaF5J/+IziMkUTnnDlTOVYVzk3tNliQlxCbIarHWWiFyuuC0S1h2PPe42/aWUZShPn/vo6H/HKr80ny3XQcAjJ+3Y7qMUc92PSU5W1huO71NDjnUPbK7JvSYIKnuquJzMebrXHVe7S0tJalfh6rKObvD3qjrAADQEN8kfSNJurjbxU2qiquvwR0H68XJL0qSHv3yUe1N3+v2awIA0FiEc4CPW35ouV7f/Lok6d3p7zb5F1qLxaI5U+doUs9JKiwv1NQPp+p0PpVSrdHp/NMqqyyTJDnk0MojK81jyw4tk91hV/fI7mYoZ/yTyrnmw8w5ZzjXK6qXekY535AO8Q9R3/Z9JdV8E7p61ZzU+Mq5745/p/d2vHfW57y64VWlFKToUNYh/eGbPzTqOgBwLpX2SrM6bmDMQA3rNEySs7Xl5mTnvLnR8aM1tKOz5W9jKudKK0q16ugqSdKUPlPqfF7Pdj1ls9pUVF6k5LzkBl8HAICGWnt8rSRpXLdxHrvmgxc8qMt7X66SihLd+v9uVWlFqceuDQBAQxDOAT7uX9udA5F/OfKXuqpP3XdDN4S/n78+vfFTDYwZqFP5p3T3Ivqxt0ZHc466fF69teUHOz+QVNViS5I6hTvbWp7KP8Xfh2ZSXP5jW8s2Gs5d2+9aXdT1Ij07/lmXx43Wlme+CX0w86DL542ZOWd32HXdJ9fpri/uqrN1W1Zxlv6+uWoO42ubXtPutN0NvhYAnEtSTpJKKkoUZAtSj3Y9dH7H8yU5b06oNZxLaXg4978D/1NBWYHiwuLM76+18ffzV++o3pKYOwcAcD+Hw1EVznX3XDhntVj17rR31T64vXak7NDTq5/22LUBAGgIwjnAxxlt3yb2mNis67YLaqcFNyxQoF+glh9arrnfz23W9eF9R7Od4Vyof6gk6cvDX8rhcCizKNNsf3X7kNvN5xsz58oqy5Rdku3h3bZORRU/trW0td22lt/d/Z3uHHqny+PV35yuzqicG9JxiKTGtbU8kHlAaYVpkmoG1IbXN72u/LJ8Dek4RNP6TVOFvUIPLH2AUBpAo2QWZaqkoqTWY0ZLy/4d+svP6udSObfl1BZJP4Zzcc5wbn/mfvPGjrOxO+xatH+RJr43UTcsuEGSdHWfq8/Z+txsbcncOQCAmx3LPaaTeSdls9p0QfwFHr12p/BOeufadyRJL61/SV8f/dqj1wcAoD4I5wAfl1qYKsl1dlNzGRgzUC9MekGS9MiKR3Qk+0izXwPeYwQT0/tPV7AtWKcLTisxLVGf7P5E5fZyDYsbpkGxg8znB9oCFR0cLYm5c82lrVfO1cV4E/rMcO5glrNyzrgZ4WTeyQbPRdp4cqP5cW1/j3NLcvXaxtckSU9f8rT+78r/U7AtWN8c+0Yf7vqwQdcCgIOZB9XttW5mQHYmI5wbGDNQUlXl8O603TqZd1JWi1XDOw1Xp7BO6hDSQXaHXbvTz13JO2PhDE37eJrWJK2Rn8VPtyTcohcve/Gc5/VrXzV3DgAAd1p3fJ0kaXin4QoNCPX49af1n6b7h98vhxy68/M7lVWc5fE9AABwNoRzgI8zKkDcEc5J0sMXPqzx3cersLxQMxbOUKW90i3XgecZ4Vz/Dv01occESc7quf/s/I8k16o5gzl3jjmEzaKtz5yri/Hm9IHMAyosKzQfNyrnJvSYIIssKq0sVXphunl8X8Y+vbbxNVXYK+pce8OJDebHtc1U+vvmvyu3NFcDYwbqugHXqXu77nrqkqckOYfG55XmNelrA9C2fJT4kYrKi7TkwBJlF9esOt+T8WM418EZzsWHx6t9cHs55KzUHRQzSGEBYbJYLPVubbn+xHp9sPMDWS1WPX7R4zr666P68PoPzRtszoZwDgDgKWuPeX7e3JleueIV9W3fV8n5ycyZBgD4HMI5wIeVVZYppyRHktQxrKNbrmG1WPXvaf9WWECY1h1fp39u/adbrgPPS8pJkiT1bNdTl/e+XJI0b/s8bTi5QVaL1WXenMFobUnlXPMwwrlg/7bZ1rIucWFx6hjaUQ45tCttlyTnTAojnBsYM1BxYXGSpBN5VXPnHlz2oGatmKW52+puw7vhZFU4d+bf4/zSfL2y4RVJ0lPjnjLbvz065lH1bNdTqYWp+vLwl83wFQJoKxbtXyRJcsihNUlrahw/s3LOYrGYrS0lZ0tLQ13zOKtzOBz67arfSpLuPv9uvXjZi+oa2bXe+23OtpZ2h512wACAOpnz5rwYzoUGhOr3434vSdqZutNr+wAAoDaEc4APM6rmbFab2gW1c9t1ekb11LPjn5UkfbH/C7ddB55lzJzrGdVTV/S+QpKz8kiSJvearE7hnWqcY1bOFVA51xyKK2hrWRfjDelVR1ZJcv6dKywvlNViVY92PdQtspsk6USuM5xzOBzakuycz/T5vs9rXTOvNE+JaYnm56cKXMO5ZYeWKbskW72jeuvGQTeajwfaAs1WmrtSdzXHlwegDTiZd1LbTm8zP191dJXLcbvDrr3peyVVhXNS1dxNyTWcMyrnzmz5W92Kwyv07bFvFegXqGcnPNvgPRuVc8dzj9drtl1d0gvTNXjOYI3919gGtx8GALR+GUUZ2pvh/Bl4cbeLvbqXrhHOm1i4ARUA4GsI5wAfZoRzMSExZoWHu1zS/RJJtd9N9uK6F2l52cKUV5abFUc92/VU/w79zRclknT74JotLSUq55qbWTlno3LuTFf3vVqStOiAs+rEqJrr0a6HAvwCzEqQ47nHJTnbtOaW5kqS1iStUW5Jbo01tyRvMVvFSTX/HhtzNcd0HSM/q5/LscEdB0uSWckHAOfyv/3/kyQF+gVKqhnOncg9ocLyQvlb/dU7urf5uFEhJ0mjOo8yPzbmce5M3VlrRZrdYdfvVv1OkvTAqAfUJaJLg/fcIaSDooKi5JDDnPPZUJX2St3++e3ak75HG05uMG+iAADAYMybGxgzUO1D2nt1L8YNqLzGBQD4GsI5wIe5e95cdYNiBskii1ILU5VakGo+XlJRoqdWP6X3f3hfW09tdfs+0DxO5J2Q3WFXkC1IcWFxslgsZmvLEP8Q/WTAT2o9j8q55mVUJVA5V9M1fa+RJG1O3qxT+ad0MNP5JnGf6D6Squ5wNULm709/b55bbi/X8kPLa6xptLQ01jjzBfixnGOSpO6R3WucOziWcA5AwxjdBmZdOEtWi1X7Mva5zLrcnb5bkrOVpM1qMx8fFe8M5MICwpQQm2A+3r9Df/lb/ZVbmqtjucdqXO/TPZ9qe8p2hQeE67fjftuoPVsslia3tnx+7fMuLYCN1p0AABh8Yd6cwXiNm1+Wr4KyAi/vBgCAKoRzgA8zwjl3zZurLjQg1Lyru/qb0z+k/KAKe4WkqsoW+D6jpWWPdj1ksVgkSbcNvk0WWXTPsHsUFhBW63lGq0vuKmweRuUc4VxNncI7me3cFh9YbH5/OS/6PEky21oalXPbT2+XJLOK2Ki4q84I564fcL0kKaUgxfz+Jcl8s7vWcO7HyrnDWYdVWFbYlC8NQBuQV5qnr49+LUmacf4MDe80XJLMx6Sa8+YMfdv31Qc/+UCf3/S5/P38zccD/ALM5/6Q4jp3zuFw6OnVT0uSHrvoMXUI6dDovRutLfdnNjycW3lkpWavmS2pqtqecA4AcCZfmDdnCA8MN1//ns7nJlQAgO8gnAN8mFHB5onKOUka0nGIJNeZS1tObTE/Ppx92CP7QNMdzflx3ly7nuZjE3tO1OlHT+uVK16p8zyzco4XLc3CbGvpT1vL2kzrN02StGj/IrO9Wl2Vc9tTnOHczQk3S5KWHlyq8spycy2Hw6GNJzdKkq7td62sFqvsDrt5k4NULZxrVzOciw2NVcfQjnLIwRvNAM5pxaEVKreXq2/7vurfob8m95wsSVp5dKX5HON70sAOA2ucf9uQ2zS51+QajxstL43veYZDWYd0IPOAAv0CNevCWU3ae2PDudSCVN362a1yyKF7h92r+0fcL4lwDgDgqqCswOx6Ma6798M5ifENAADfRDgH+DCzrWWIh8K5WGc4tzOtau5c9VaWVM61HEblXPVwTnJWYVZvrXWm6i9aapt3g4YprqCt5dlc2+9aSc5KjB9SnVUiRuWcMXPOmGVkvFE9c+RMxYTEKKckx7wjV5IOZh1UVnGWgmxBGtF5hOLC4iRVvQB3OBxnbWspVVXP1TZ7EwCqM1paXtvX+X1sUq9JkqRVR1bJ4XBow4kN+mzvZ5KkqX2n1nvdkZ1HSpI2JW9yedy4WWpYp2EKDwxv0t6Ntpb7MvY16Lz5u+YrvShdg2IG6fUpr5tVfnsyCOcAAFU2ntyoSkelukZ0NbtheBtz5wAAvohwDvBhaUWemzknVVXOVX9junrlHOGc7/po10faklz138qsnIvqWdcptTLaWpZWliqnJKfZ9tcWlVeWmy0VCedqNyhmkHpF9VJpZan5/aVPe2flnPFC/lT+KZ3IPaGUghRZLVYN6zRMV/e9WpL0xb4vzLU2nHC2tBzRaYQC/AJqvADPKs5SYXmhy9pnYu4c0LJV2ivNVrjuVF5ZriUHl0iSpvV3VgCP7TpWgX6BSs5P1t6MvfrVsl9Jkn52/s/MwK0+Loi/QJJzHmf1m2Q2J2+WJI3uPLrJ+zcr5zL2N+hGnFVHV0mS7jr/LgX7B2tQzCBJzso5bugBABjm75ovSZrQY4J3N1IN4RwAwBcRzgE+zJMz56SqcG532m5V2CuUX5qvvel7zeO0tfRNO1N36tb/d6umzJ+issoySbW3tayPIFuQooKiJPHCpamMlpaSFGyjrWVtLBaLWXUiOefJ9WjXQ5LzpgR/q78ccphvgvdr308h/iFV7TAPLDLfEDbax13Y5UJJUnx4vKSqv8dGS8vY0Ng624wSzgEt2xMrn1D317rry8NfuvU6646vU05JjjqEdNCYLmMkOdsXX9T1IknSz774mb4//b3aBbXTXyb/pUFrD40bqkC/QGUVZ7ncFGWEc6PiRzV5/+dFnyerxar8snylFKTU65zyynJ9k/SNJGlST2eVYJ/2feRn8VNeaZ6S85ObvC8AQMt3IveEPtj5gSRp5qiZXt5NFXN8QwHjGwAAvoNwDvBhnp451zOqp0L9Q1VaWaqDmQe1PWW7HHKofXB7Sc6wMK80zyN7Qf3tTtstScoszjTfkDTbWjawck7ihUtzMVpaWi1WBfgFeHk3vsuoOpGkHu16mP+urBar2drSaB83rNMwSdLkXpMVZAtSUk6SGaRtOOmsnDPeKD/z7thztbSUap+7CaDlMEL6tcfWnuOZTbM6abUkacp5U+Rn9TMfN0IrI0j748Q/Nvh3uAC/APN7ndHasryy3GztOzq+6ZVzgbZA80aI+s6d25S8SYXlhWof3F5D44aaezWqnZk7BwCQpFc2vKIKe4Um9Jhg3jTnC5g5BwDwRYRzgA8zZ855KJyzWqwuM5eMNomXdL/E3MPhLKrnfE31O+s/3PWhisqLlFroDHYbWjknVbW2TMpJUk5JjtIL02lX1QhG5VywLVgWi8XLu/FdF3e72KzW7BPdx+VY1whnOPf10a8lScPjhkuSQgNCdVmvyyRJk96fpG6vdjNn1hlvAhjhXHKes5rDqJzr3q7ucG5gzEBZLValF6WbN0cAaDmMlpYHsw669TpGEDW803CXx425c5Iz7P/FyF80an2jteWmk85wLjEtUSUVJYoMjDTncjZV9daW9bHqiLOl5aU9L5XVUvUS0pw7RzgHAG1eZlGm3v7+bUnSk2Of9PJuXNHWEgDgiwjnAB/lcDg8Hs5J0pDYqrlzxry5kZ1HqndUb0m0tvRFh7Krwrkv9n9hVtJFBEaoXVC7Bq9nvHC573/3KerFKMW+FKtfLG7cG4xtWXG5s3KOeXNnZ7PaNLXvVElS3/Z9XY4ZlXNGu1ajmkSSbh9yuyQpoyhDJ/JOOI/HDVN8hLOdpfkCvKD+lXPB/sHmG9/VZ28C8H0V9grzDbcDmQfcei0jiDKCKcPIziPN39neuOoN2ay2Rq1vzp075azAM34fGxU/yiUYawojnNubsfccz3Qy5s0Z1YGGgR0I5wAATv/Y/A8VlRdpWNwwXd77cm9vxwXhHADAFzXuFSMAt8spyVG5vVySh8O5H9u67Uzbac6bG9V5lPZl7NOGkxtcqrTgG6r/NykqL9L/bfo/Sc6qucZUbF3W6zJ9sPMD2R1287GF+xfqrWveavpm2xCjco5w7tyev/R5hfmH6ZExj7g83i2im8vn58edb358w8AbNPCXA1VQViCb1Sab1ab+Hfqbx+uaOXe2cE5yzp07kHlAu9J26bLelzX6awLgWafzT6vSUSnJGc45HA63VC2XV5ablXkDOgxwOWaz2rR6xmplF2drbLexjb7GBV2c4dyOlB0qrSitmjfXuenz5gzGzQ5zts7RRV0v0o2DbqzzuQVlBWbL0Mm9Jrsco3IOACA5f1a8vvl1SdKTFz/pc51DGN0AAPBFVM4BPsqomosIjFCQLchj1zXaWq4/sd6skqteOUc453uM/yZX9blKkvRR4keSGjdvTnJWJOU8kaPcJ3OV/US2LLIorTDN/DuJ+jHbWvoHe3knvq9bZDfNuXqOOQPJYFTOSc5QLTo42vzcYrEoITZBF3a5UCM7j9T5cee7fK+sMXOuHm0tJWc4J8mcZQegZTAqaCWpsLxQKQUpbrnOoaxDqrBXKCwgTF0iutQ4PjBmYJOCOcl5c02HkA4qqyzTjpQdZuVcc8ybM9yccLOuG3CdyirLdNOnN+m1ja/V+dy1x9aq3F6u7pHd1Suql8uxQbGDJEm703fTAhsA2rB3vn9HWcVZ6h3VW9cPuN7b26nBGN1QUFag/NJ8L+8GAAAnwjnAR3mjpaVU9cZ0VnGWJKl3VG9FBUeZrd5oa+lb8krzzL8rT1/ytCSZFW+NmTdnCA8MN9ti9o52BrOJaYlN3G3bUlxBW8umMmbOSa4tLevDCOcyijJUWlFar7aWUlX18K5UwjmgJTHmzRnc1dqyektLd1UFWCwWs7Xl6qTV5s/f5qycC/AL0Cc//US/GvUrSdKsFbP09NdP1/rc6i0tz/ya+7bvK6vFqpySHLcFogAA32f8rJg5aqb8rH5e3k1NYQFhCg8Il0RrSwCA7yCcA3yUt8K5qOAolzfER8U73wgywjkq53zL4SxnWBoTEqMLu1yooR2HmseaEs5VZ1YSEVY0CG0tm65bZFVby+Fxwxt0bnRwtAL8AiQ5v29lFmdKqkfl3I/Vw7vTd6vSXtmgawLwnhO5J1w+N1pPNre65s01NyOce2vbW7I77Ooc3tmcqdlc/Kx+en3K63px8ouSpOfXPl/rjTjGG65ntrSUpCBbkNldgdaWANB2GTdoGO8b+CLmzgEAfA3hHOCjUgtTJUkdQzt6/NpG5YhUdZe2UT11Mu+kisuLPb4n1M6oZDReBN06+FbzWGPbWp4pITZBEpVzDWW2tbTR1rKxqre1bGjlnMViMV+Abzi5QZLMatCz6RXVSyH+ISqpKOFmBKAF8VjlXIYzgDpz3lxzM+bOJeUkSWreqrnqLBaLHh/7uH468KdyyKGnV7tWz6UXpmtHyg5J0qU9L611DebOAQC8+f5FfTF3DgDgawjnAB/lrco5qfZwrn1we0UGRkqSjuYc9fieUDsjPDDC05sTbjaPnTkXprGMcI4ZXGfncDh0x+d36I7P75DD4TBDbCrnGi8yMFJdI7oq0C+wUbOW4sOdVSYbTjjDuXO1tJQkq8WqQTHOGUr8nQdaDmPmnBEU1Tecq7BXaHPyZrMl9Ll4qnLuzO95zTlvrjZ/mPAHWS1WLdy3UJuTN5uPr05aLcn5u0DHsNrfcCWcA4C2zeFwKLXAGc554/2L+jLmzlE5BwDwFT4fzuXn52v27NkaPHiwwsLCFBkZqVGjRunll19WWVlZk9ZOTU3Vo48+qn79+ik4OFjR0dEaN26c5s2bd9aB5ocOHdLLL7+sa665Rt27d1dgYKBCQ0PVt29f3XPPPdq2bVuT9gVIvhHOWS1Ws1rFYrHQ2tIHGf8tzoty/rfpFtlNf538V826cFaz3dVvtLXcnb673m9etkVJOUn6YOcH+mDnB1p/Yn1V5Zw/lXONZbFY9O3PvtXm+zY36nvhmZVz52ppaTD+zv+Q8kODrwnAO4zKuUk9J0mqf1vLF9a+oAvmXaB3vn/nnM+ttFdqf8Z+Se4P59oFtVO/9v3Mz91VOWcYEDNAdw69U5L0+69/L0k6mn1UT339lCRpcs+aLS0NZjiXQTgHAG1RXmmeSitLJanOGzl8Qecw2loCAHyLT4dzx44d05AhQ/Tcc88pMTFRDodDpaWl2rp1qx577DFdeOGFys7ObtTa27Zt06BBg/TKK6/owIEDstlsys/P17p163TfffdpypQptYZ/3333nfr06aPHHntMixcv1vHjxxUYGKiKigodPHhQ//rXvzR69Gg988wzTf3y0cYZbSG8Ec5d0v0SRQRG6PLelyssIMx83KjOako453A49O2xb83wEU1jhnPVevv/Zuxv9MoVr8hisTTLNc6LPk8BfgEqKCuo0TYMVfZm7DU//nDXhyqu+LFyzkblXFP0aNfDpZq3IYxwzvhvU5/KOamqndzXSV836roAPM+onDPCuUNZh+o1N/LTPZ9Kkr478d05n3s056hKK0sVbAuu9/eTpjC+F0nSyM4j3X69Z8c/K3+rv1YeWanXNr6mMe+M0cGsg+oe2V2zxsyq8zyj2nh32u6z3uCItm3R/kUa9OYgvbX1LW9vBUAzM17bhwWE+XTXEGbOAQB8jc+GcxUVFbrmmmuUlJSkTp066auvvlJhYaGKior08ccfKzw8XNu3b9ftt9/e4LVzc3N19dVXKzMzU/3799eWLVuUn5+vwsJC/eMf/5C/v79WrFihhx9+uMa55eXl8vPz0/Tp07VgwQJlZGQoLy9PRUVF2rx5sy6++GLZ7Xb98Y9/1DvvnPsOXKAuxi+43ujZ3jm8s449fEyf3/S5y+NGddbhrMONXnvLqS0a/+543fn5nU3aI5xqC+eam7+fv1mFtyuVNn912ZteFc59sucT5ZbkSqKtpTcZL8AN9X0zfcp5UyRJG09uVGZRZrPvC0DzKiovUkZRhiRpbLexCvALUFll2TlvKEkrTDPb1xozXM/GaNvYv0N/+Vn9mrjrc7sg3hnO9Ynuo6jgKLdfr0e7Hvr5iJ9LkmatmKXUwlQN6ThE6+9Zr26R3eo8r1+HfrLIosziTKUXpbt9n2hZKuwVenLlk5r28TTtSd+j59c+T4gLtDItYd6cxMw5AIDv8dlw7r333tOuXc4Xy5999pkmT3a2UrFarbrpppv01lvOO+6WLl2qVatWNWjtl156SSkpKQoODtbSpUs1cqTzTtSAgAA98MADeu655yRJb7/9tg4ccJ1Xcd5552nv3r36/PPP9dOf/lTt27eXJPn5+WnUqFFatWqVhgxx3uH/5z//uZFfPeDdtpaSs51SkC3I5TGzrWV24yvnDmY620ztSNnR6DXgVFRepOT8ZEnuDeekqrlziWmJbr1OS1a9ci6jKENf7P9CEm0tvcmYOWeob1vLrpFdNaTjENkddq04vMIdWwPQBCsOrdC+jH3m5yfzTkqSQv1D1T64vfkz8VytLb8+WlUdW5+uAEY4NyCmedpGn8stCbfo6r5Xa/aE2R65niT9/pLfK9jm/Lk1occEfXvXtzVudDhTiH+Iekb1lMTcObjKLMrUZf+5TC9+96IkZ8v8E3kntD1lu5d3BqA5GfPmfLmlpcTMOQCA7/HpcE6SJk6cqDFjxtQ4fvPNN6tnT+eLwPfff79BaxvPr75GdQ8++KDCwsJUWVmp+fPnuxzr0qWL+vTpU+faAQEBZjXf4cOHG912E/B2OFeb5mhrmVWcJcl5d50xkwuNcyT7iCRnkBodHO3WaxnhnFFhgJqMN4q7RnSVVBXWUTnnPY2tnJOkq867SpK09ODSZt0TgKb5/vT3unL+lZr28TTzMaNCrltkN1ksFvWJdv6ufiDzQK1rGFYdqbrBL6UgRQVlBWd9vvF9fWAH986bM0QFR+l/t/xPtw6+1SPXk6S4sDgtvnWxXr78ZS27bZkigyLrdZ4RiCblJLlxd2hpnl/7vNYkrVFYQJg++eknmtbP+f/twn0LvbsxAM2qpVXOnco/RQUvAMAn+GQ4V1RUpO++c859mDJlSq3PsVgsuvLKKyVJX375Zb3X3r9/v44fP37WtcPCwjRu3LgGr20ICqqqNqqsPPesC+BMpRWlyinJkeRb4ZzxxsuxnGMqryxv1BrZJVWBNW/gNI3RXvS86POabb5cXQbHDpZU/8q5pJwkFZYVunNLPsXhcJhv2j59ydMuxwjnvKdGOFfPyjlJuqqPM5xbfmh5veZWAfCMrw5/JckZvCXnOavHT+Q65811jXTeHNG3fV9JVdX6dVl11LX7xrnadhtVYQNjPBPOeculPS/VI2MeqdFB4Wy6hHeRVFXFCEjS7vTdkqRXr3hVNwy6QdP7T5dEOAe0NmblnI+Hc53CnJVzReVFyivN8/JuAADw0XBu7969stvtkqSEhIQ6n2ccS0lJUVZWVr3WTkysemO5Pmvv2dPw1ixr1qyRJHXq1Mlse9kUaWlp2r17d4P+HDrU+MomeJ8xr8NmtXlkxkh9dQrrpGBbsCodlTqWe6xRaxiVc5J0NPtoc22tTTIqGHtH9Xb7tYzKuX0Z+84ZzB7KOqQ+f++jaz++1u378hXpRenKKs6SRRbdNuQ2lzajRnsweF71cC7QL7BBNzuM6TpGkYGRyizO1JZTW9yxPQCN8M2xb8yPNyVvklStci7CORfNrJzLqrty7mj2UR3NOSqb1aZBMYMkuXYGcDgcuuPzO3TTpzeprLJMdofdnC3a2sO5xugSQTiHmo7lOF8vGL+rTu0zVX4WP+1K22V2gADQ8pmVcz7e1jI0IFSRgc6KcObOAQB8gU+Gc6dOVfV/jo+Pr/N51Y9VP6c5187Ly1NBwdlb3FS3YcMGLVy4UJJ07733Nks1y5tvvqmEhIQG/Zk+fXqTrwvvMVpaxoTEyGrxnf9NLRZLk1tbuoRzOYRzTWH8N3D3vDnJ2SosPCBc5fbyc7YJW310tSrsFfoh5Qe378tXGG/Y9mjXQyH+Ibpt8G3mMSrnvCc8MFzhAeGSnH+HG/L91Ga16YrzrpAkLTmwxC37A9AwFfYKrTu+zvx848mNkqQTebVXzp3t55VRNTc6frTOjztfkuvvNoezD+uDnR/ok92f6ImvntCJ3BMqLC+Uv9Xf/F0IVeIjnK+djFm4gMPhcGk5K0ntQ9rrku6XSJK+2PeF1/YGoHkZ4Zwvdf2pC3PnAAC+xHfe9a8mPz/f/DgkpO43Nasfq36Ot9ZOT0/XLbfcIrvdrj59+ujxxx+v13nAmXxx3pzBCIKM+VoNReVc8zmU7blwzmKxmNVz52ptue30NklSZnGmKuwVbt+bLzBaWg6IGSBJLvOBgv2pnPMmo3quIS0tDebcuUPMnQN8wY6UHcovq/q93AjnzgwA+rR3Vs4l5SSprLKs1rWMcG5Sz0nmz9Hq4dz209vNj1/b9Jr+su4vkpzBn81qa5avpzWhcg5nyizOVHFFsaSqvx+Sqlpb7l/YpPU3ndyk3678rYrLi5u0DoCmM96/8PW2lpLr3DkAALzNJ8O5lqigoEDXXnutjh07pvDwcC1YsEBhYWHe3hZaKKNnuy+GcxfGXyjJOYepMaqHc0m5Sc2xpTbLk5VzUlVry11pu876PCOck6T0wnS37slXGJVz/dv3l+R88/airhdJqnqzGN5hhnORDQ/nrjzPOdv2+9Pf63Q+rW8Ab/smydnS0qiM23pqq8ory6sq5yKclXOdwjop1D9Udoe91tZ5DodDXx/9WpJrOHc4u2rm3I6UHZKksADn7/P/3PZPSbS0rAvhHM5khOZxYXEKtAWaj0/rN02StO74uib9nvjkqif1l+/+okX7FzVtowCazJw55+NtLSXCOQCAb/HJcC48PNz8uKioqM7nVT9W/RxPr11YWKipU6dq48aNCgsL09KlSzV06NB67ac+Zs6cqcTExAb9MVpromUy7zzzwV9up/V3vqD++ujXjRqiTOVc8yitKDXf9PB0OHe2yrmyyjLtTN1pfm78XW7t9mU6K0mNyjlJ+uzGz7Tk1iUa23Wst7YFVYWjvaJ6NfjcjmEdNarzKEmNvyEBQPMx5s3dO+xetQtqp+KKYu1M3Vmjcs5isbi0tswrzdOL617UnC1zVFZZpsS0RKUVpinYFqwLu1xYe+VcirNy7vlLn9fo+NHm44RztTPCuYyiDJVUlHh5N/AFxry5M2+O6d6uu4bFDZPdYdfiA4sbvb4RvBMIA95nzpxrCZVzYc5wjhvvAAC+wCfDuc6dO5sfJyfXPbeg+rHq5zTn2hEREWetgDOCuW+//VahoaFasmSJLr744nrtpb5iY2M1aNCgBv057zzPvFkP9zDbWob4XuVcv/b91Ce6j8rt5VpxaIX5eEFZgYa9NUxXzb9KDoejzvPPNnMuoyhDKw6tOOv5bdnKIys1c8lMbT+9XUk5SbI77Ar1D/XYi6DBsYMlST+k/qDyyvJan5OYlujSQsx4odbaGZVzAzpUhXNxYXG6qs9VzTJ7FI33m4t+o1+N+pXuHnZ3o86/qo+zteWSg8ydA7yp0l6ptcfXSpIm9JigC+IvkCQtO7RMReXOm+qqt84zWlu+vul19X69t55c9aRmLp2phDcT9Od1f5YkXdL9EgXaAs1w7kTeCbNFnhHOjY4frf/+9L9qF9ROkjSk4xA3f6UtU1RQlIJsQZKoRoDTmaF5dfVtbZlTkqOL/3WxXt3wqsvjlfZKJec5X6+nFKQ0an+Hsg4p5m8xev7b5xt1PgCnovIiFZQVSPLNm4vPZM6cK+BnFQDA+3wynBswYICsVufWEhPrrtAwjsXFxSk6OrpeayckJNQ4/2xrDxxY992xRjD3zTffKCQkREuWLNEll1xSr30AZ+PLA5UtFovZjuaL/VWD3P+9/d/akbJDyw4tq7OyyuFwuIRzOSU5yinJMT9/YOkDunL+lU26i7Y1e3r105qzdY6Gvz1cN356oyRn1Zynwh+jci4pJ0ldX+2qx796XAcyD7g8Z+uprS6ft4XKuYKyArOlWvXKOfiGQbGD9Per/q64sLhGnT+1z1RJ0orDK1RaUdqcWwPQALvSdimnJEfhAeEa1mmYLuzibLP9ye5PJEkxITEuMz77Rjsr51YdXaWMogz1ie6j2NBYHcw6qI8SP5LkbGkpSe2D2ysyMFKS88ahlIIUpRSkyCKLBscOVo92PbTyjpV64dIXdG2/az32NbckFouF1pZwUZ9wbvGBxXp729t1rvHV4a/03Ynv9Prm110eP11wWpWOSklSSmHjwrmlB5cqoyhDc7+f26jzATgZLS2DbEEKD6hfRytvoq0lAMCX+GQ4FxISorFjnW3Ali+vvY2Uw+HQihXOqp3LL7+83mv37dtX3bp1O+vahYWFWrt27VnXLiws1FVXXaVvvvlGoaGhWrp0qcaPH1/vfQBnY1bO+WA4J1W1tlxycInKK8tVaa/Uqxur7mhduG9hrefll+WbL6QjAiMkVbW2dDgcWnVklSRpy6kt7tp6i1a99YbROrJ3dG+PXT8mNEZ/nfxXxYbGKrUwVX9b/zcNmTPEJZDbdmqbyznGi7XWbF+Gs6VlbGisooPrd6MIWo4RnUeoc3hnFZQVmDOqAHieMW9ubLexslltZjhnzEHtGtnV5fnG8biwOP1z6j+1e+ZuHXzwoJ4Y+4QC/ALkb/XX1X2vluQMlqq3tjTmzfXr0E+hAaGSnN8Lfjvut7JZbe79Qlswwrm2I780X89/+7y2n95e53OO59Udzg2OHaz7ht8nu8Ouny/+uZ746gnZHfYazzNuAjuRe0IV9grz8RO5J8yPG1s5l5STJEk6lnvMrMID0HDVW1q2hI4hRjh3IvcEHXsAAF7nk+GcJM2YMUOStHr1am3atKnG8QULFujIEWef+TvvvLPe61osFvP5H3/8sZKSkmo854033lBBQYH8/Px022231ThuBHNGK0uCOTQ3X545J0ljuoxRTEiMckpytPb4Wn2+73OXFpV1tagxquaCbEHq36G/pKrWlkk5ScoszpSkGtVYcEovSpckLbl1iW4fcruCbcFmFaOn/Gbsb3Ry1kl9ftPnGtl5pEorS/XmljfN49tOO8O5rhHON0nbQltLo6Wl8XcarYvVYjX/P6vrxgMA7mfMmxvf3fk7d/U5cFLNAGBq36lK/GWiDj90WD8f+XP5+/krIjBCf5n8Fx399VH98IsfXKqdjZtdDmUdMgOHYXHD3Pb1tEaEc23Huzve1VOrn9LoeaP1t+/+VmuwVtfMOcn5mvytq9/ScxOekyT9df1fdctnt6jSXunyvINZByVJlY5Kl0DOqMqTGh/OVX/tsv7E+katAaDqZkxfvbH4TANjBirIFqRjuce06ugql2N2h137MvYppSCl1u9rAAA0N58O5wYPHiyHw6Hrr79eq1Y5f2ja7XYtWLBA9913nyRpypQpmjRpksu5s2fPlsVikcViqTV8e+yxxxQXF6eioiJNnTpV27Y530wuKyvTnDlz9PTTT0uS7r//fvXt29fl3KKiIl199dX69ttvFRYWpmXLltHKEs3G7rDrT9/+ybxju/rsFF/iZ/Uz7zb/Yt8Xemn9S5KkX4z4hawWq74//b3Li2aDEc5FB0erZ7uekqoq5zYnbzafRzhXU2FZoTlTZ1y3cfrPT/6jwt8V6s6h9b85obn4+/lrev/peuXyVyRJC/YsUFF5kUorSs2KvinnTZHUNtpa7s2oOW8OrYvRfuuL/V/wQh3wAofDoW+PfSupKpyLDo5Wv/b9zOcYN4VUNyh2kEL8Q2o83jm8c402xOdFVVXOGfPmzo87v1n231bEh8dLElVIbYBRsVphr9DjKx/XFR9c4dLhQTp7W0vJGdA9M/4ZvT/9fflb/fXJ7k/05eEvXZ5T/TXBkewj5sdGO3Gp9nDO7rCfsyLGqJyTCOeApvD1G4vPFB0crZ+P+Lkk6dk1z7p8r5i1fJYGvDFAnV7upMA/Bar7a911+X8u12NfPqb3f3ifVpgAgGbns+GczWbTokWL1KNHDyUnJ2vy5MkKDQ1VaGiobrzxRuXl5WnYsGGaP39+g9eOjIzU4sWL1b59e+3Zs0cjR45URESEwsLCNHPmTJWVlenyyy/Xq6++WuPcTz/9VGvWrJEkVVRU6IYbblBcXFydf9av5xd91E9WcZau+egaPb36aTnk0C9G/EJDOg7x9rbqZMxc+deOf2lT8iYF+gVq9oTZurjbxZKcod2Zag3ncmqGcwezDtJi4gxG1VygX6DCAsIkyettQ8Z2G6se7XqooKxAX+z7QolpiSq3lys6OFoXdLlAUtuonDPaWhLOtV4TekxQRGCEUgtTtelkzWp+AO61J32PMoszFeIfopGdR5qPG60rpboDgPoy2loezj5s3iRF5VzDmJVz+VTOtXbGjUnXD7heIf4hWnlkpX7y35+Yx0sqSszfAc/1/+YdQ+/QDYNukCTz/z2DUTknuVa6Vb8JMKMoQ+WV5ebnBWUF6vv3vpr8n8kqKCuo87rGDYKStP6k62v2VUdW6dnVz6q4vPisewfg2taypXhi7BMKsgVp/Yn1WnlkpSRp+aHl5nxLiyyqsFfoeO5xfXXkK7284WXNWDhDw94a5vL9BgCApvLZcE6SevTooZ07d+qZZ55RQkKCLBaL/P39NWLECL300kvauHGjoqKiGrX2iBEjtHv3bs2aNUt9+vRReXm5QkNDdfHFF2vu3LlatmyZAgMDa5xnt1fdMV9SUqLU1NSz/ikrK2v014+2I7ckV6PnjtbSg0sVZAvSO9e+ozlXz/H2ts7qsl6XKcgWZL7ovWPIHeoY1lHT+02XVHtrS5dwLsoZzhl3rW4+VRXOFZQVNLpFTWuVXugM52JCY7weyhmsFqtuH3y7JOk/O/9jtrQc0WmE+eKsTVXOxRDOtVYBfgG6qs9VkmhtCXiDUTV3UdeL5O/nbz5ePZyrrXKuIYxw7oeUH3Qo65AkKucairaWbYdxY9Lvx/1em+91/g6/KXmT+bu+0YIyxD+kXvN4E2ISJEm703ebj2UXZyujKMP8vHqYVr1yTqq6iU1yBnyHsw/r66Nf6/pPrldZZc3X4zklOcotzTU///7092YQV15Zrlv/3636w7d/0M2f3ewy6w5ATUZby5YUznUK72RWz83+ZrYyizJ19xd3S5IeGv2QSp8q1YlZJ7T+7vWae81cPTj6QQXbgpVWmObyfQoAgKby6XBOksLDw/Xcc89p165dKigoUF5enrZu3apHH31UAQEBtZ4ze/ZsORwOORwO9ejRo861O3bsqFdeeUUHDhxQcXGxsrOztXbtWt17772yWmv/V3PXXXeZa9fnz4QJE5rh3wJau/d+eE+Hsw+rS0QXbbhng+4edre3t3ROoQGhuqzXZebnj4x5RJI0rb9zNtM3Sd+YL9AN1cO5Hu16SHLeBVthr9D3p7+X5KwMk2hteSbjTQdf6+V/x9A7JElfHv5SSw4ukfRjOPdjWxPjxVprVV5Zbr6JS+Vc62bcePDF/ppVwQDca1Oys2L1oi4XuTzujsq51MJUOeRQfHi8YkJjmrRmW0M41zZkFGWYoVnf9n01KHaQ+kT3kSRtSd4iqaqyrXtk93rdVDYodpAkKTEt0XysetWcVHflnOTa2rL6sS8Pf6kZC2fUaEltBH0xITHqFNZJFfYKbT21VZK07NAy8+ayRfsX6ZeLf0lHD+AszMq5FtLW0lC9eu7S9y/V6YLT6t+hv/4y+S/y9/NXl4guGtN1jO4dfq9en/K6xnQdI6nq+xwAAM3B58M5oLVzOBx6a9tbkqQnxz7Zou7SviXhFknOeUxG1VCvqF4aHDtYlY5KLTmwxOX5ZjgXVNXWMiknSbvTdquovEjhAeEa38M5S4ZwzpXxJkFMiG+9Udi3fV9dEH+BKh2VWrR/kSRpZOeRZoiYVpjWKt/QyCvN06GsQ1p8YLEq7BUK9Q/12RmRaB5T+kyRv9Vf+zP3mxUDADzDeNN8VPwol8cTYhPUPri9bFabGa41VlxYnMt8umGdaGnZUMbMuZSCFKqNWjHjZ2C3yG4KDQiVJI2OHy1J2nLKNZyrb2g+KGaQuXalvVKSdDCz7nDOqMwzbuqrHs4dyzlmrmmz2vRx4seatXxWrWv1jOqpi7o6Q//vTnwnyXnTpOSs1LVarJq3fZ6eXfNsvb4OoC1qiW0tJWf13C9G/EKStDN1p2xWmz74yQcK9g+u9fmjOjt/BzG+zwEA0BwI5wAvW3d8nfak71GIf4huH3K7t7fTIDcn3Kw1M9boPz/5j8vj0/tPl1SztWX1yrlukd1kkUVF5UVmxdWo+FHq376/JMK5M1Vva+lr7hhyh8vnIzqPMMO5cnu5ckpyvLAr93n/h/cV9WKU+vy9j6775DpJUv8O/X2m3SjcIyIwQpN6TZJEa0vAkwrKCsz2wSM6jXA5ZrPa9PWMr7XqzlVN/vlosVjUO6q3+Tnz5houNjRWNqtNdoed9uSt2N70H9t5V+sYYIRzxgzphoZzPaN6KtgWrNLKUh3OPiyp6rXA8E7DJVVVuxWXF5sdJYwQvbbKuesGXKf3p78vSXp98+sury2Mtvo92/XU2K5jJUnrT6xXZlGm/rf/f5Kkf079p+ZMdY4Z+OO3f9Qnuz+p19fSEJlFmfp0z6c1KvuAlsRsa9nCKuck6YmLndVzkvTs+Gc1ovOIOp975k0IAAA0B8I5wMuMqrlbEm5RZFCkl3fTMBaLReN7jFdYQJjL40Y4t/zQcpdB6tXDuUBboOIjnHdY/3f3fyVJozuPVt/2fSXVbGXT1hlvQvha5Zwk3ZRwk2xWmyTnf9vukd0VZAtSRGCEpNY3d+6/u/8ru8OuYFuwukV20/BOw/W7cb/z9rbgAeZMTcI5wGN2pOyQ3WFXfHi8OoV3qnF8SMchuqT7Jc1yrerVdy2pk4Gv8LP6qXN4Z0m0tmzNjMq5/h36m49VD+ccDoeO5Tqr1+obzlktVg2MGShJ2p3mnOdkvBa4vNflkpzVOYVlhebfrVD/UHMPLpVzP167e2R33TL4FjN8q96Kzgj6erarqpxbf2K9Ptz1ocrt5RreabgGdxys+0fcr0fHPCpJ+ufWf9bra2mIB5c9qBsW3KAPdn7Q7GsDnmJUzvna+IX6iAuL0yc//UTPX/q8nrz4ybM+16ic25W6S0XlRZ7YHgCgDSCcA7wooyhDC/YskCT9YuQvvLyb5jMsbpi6RHRRUXmRNpzcYD5ePZyTZLa23Jm6U5Kzcs4I5xpTOWd32LVg94JWebe2EXD54oueDiEddFWfqyQ5W1oaFWRGaxPjBVtr4HA4tO3UNknS1zO+1rGHj2nb/dt03YDrvLwzeMI1/a6R5Jx/dSr/lJd3A7QNRkvLkZ1Huv1a1cM5Kucah7lzrd++TGc4V71y7vy482Wz2pRamKoTeSdcZs7V15lz54zXAqPjR6tdUDtJzoq36lV5ncKcgX1tlXNGMGj8v7w9Zbv5nKTcJElSj3Y9NKzTMAX6BSqzOFN/XvdnSdKMoTPM5z4w6gFJ0jfHvjFn7TWHSnullh9aLknadHJTs60LeFJZZZnZJaWltbU0XNPvGv1u3O/Mm03r0iWiizqGdlSlo1I7UnZ4ZnMAgFaPcA7wond3vKuyyjKN6DTCI286eYrFYtGQjkMkSUeyj5iP1wjnonq6nDc6frT6tHcOlD+UdcicOVFf/97+b9346Y26a+Fdjd26z/LlyjlJ+v2436t3VG/dP/x+8zEjSDRanbQGyfnJSi1MlZ/FT0M7DvX2duBhncM764L4CyTJbHsFwL2McO7MlpbuYIRzkYGR6tGuh9uv1xoZc+eS85K9vBO4i9HWsnrlXJAtyPzdf3Py5ga3tZSq5s7tTt8th8NhVs71bd/XvKHvaM5Rc+2ukV0VFxYnqSqcq161172dMxg0qmCrv5luVs5F9VSAX4A5z/J0wWn5W/116+Bbzef2jOqpYXHDZHfYzfnKzeGH1B+UXZItSdqTsafZ1gU8ybiB1Ga1KSo4ysu7cS+LxWJ+r6heiQsAQFMQzgFeYnfY9fa2tyVJPx/xcy/vpvn1iOwhqWqmg1R35ZwkdQrrpPjweHWN6KpAv0CV28vNF9f19WHih5Kkr4581epaKfryzDnJGaweeuiQrh94vfmYMXegNf23MKrmBsYMrHNYOFq3umZqAnCPbaed33c9cRPTmC5jZJFFk3tNZo5oI1E517oVlxebv9sPiBngcmx0Z2dry00nNzUqnEuITZDkDOfSi9KVV5oniyzqHd3bvKHvaPZRncg74Vw7oluNcC6nJEcFZQWSpK4RXSVVzaXbnrJdDodDDofD/BqMEN5ofSlJU/tOVYeQDi57Mzok/L+9/6/eX8+5rD662vzYaOUJtDTGTZixobGyWlr/24vG97nNpzZ7eScAgNai9f/0BHzUmqQ1Oph1UOEB4bpl8C3e3k6zM17sHs05aj52tnBudPxoWSwW+Vn9zDvXG9LaMq0wTWuS1khyBp+f7/28Kdv3Ob7c1rIusSE/Vs61oraWnnyTGL7JCOdWHVmlvNI8724GaOXySvO0P2O/JGlEZ/dXzg3uOFjHHj6m+dfNd/u1WisznMsnnGuNDmQekEMORQVF1ejmYMydW3xwsUorS2WRxZwvXR9G5dz+jP1mWNUtspuCbEH1rpwzbuyLDY01b6IaFDNINqtNWcVZOpF3QhlFGSosL5RU1XbTmDsnSXcNvavG3q4f4Lz57KsjXzXbz/6vk742P04vSjdvxANaEuN1XkttadlQVM4BAJob4RzgJUaQdN2A6xQWEObdzbiBEc4Zd6Y6HI4a4Vz1llHGgGVJ5ty5g5kH6329z/d+LrvDbn7+yZ5PGrNtn+XrbS1r0xor5zzZXg2+qX+H/urXvp/K7eVadnCZt7cDtGrbT2+XQw51i+zmsZtTukZ2VaAt0CPXao2onGvd9mX8OG8uZkCN6lIjnDOe0zm8swL8Auq9drfIbgoLCFO5vVxLDy6VJLPdffVwzqyci+xmBgJGOFdbxV6gLVADYwZKcn5PMV6bdA7vbP6/fnG3ixUVFKVeUb00pc+UGnsbEDNA/Tv0V1llmZYcWFLvr6ku5ZXl+vbYt5Jk/jvanU71HFoeo3LOeN3X2hk3aB7MOmjO2gMAoCkI5wAvMV489mvfz8s7cY8zw7niimKVVpZKqn3mnPGCXqoK5xpSOWeEcb8Y8QtJzvCztYRChWWFKiovkuS7bS1rY86c8+HKuaScJL2x+Q2VVJSc87kOh4PKOUiSpvWbJonWloC7GTdE8D235TDCOWPmnMPh0MeJH9O2r5XYm/HjvLn2/Wsc69+hv8sNhw1paSk55zkZ1XOf73N2wOgb7XxNYLxmOJJ9pKpyLqKqci6/LF9F5UU6lvPjvLkfK+IMw+KcrS13pOwwu3pU7+ARHRytPQ/s0eZ7N9cZKF7X/8fWlvucrS0Lywr1sy9+psv/c7le2/iaDmcdrvfXuu30NhWUFSg6OFqTek6SJO1JZ+4cWp62VjnXIaSDekX1klT1OwoAAE1BOAd4SWNmMbQkRjh3Kv+USitKlV3sHHhus9rMF+7x4fGKCYlRqH+o2SJCqhbOZTnDuQp7hf763V+1YPeCWq9VvaXl42Mf18jOI2V32Jt1LoQ3GVVzgX6BCg8I9/Ju6s94kebLIelvV/1Wv1r2K/038b/nfO7JvJNKK0yTn8VPQzoO8cDu4KuM1pZLDy5VWWWZdzcDtGJbT/8YznUinGsp4sOdbQyT85PN+cq3fHaLrvrwKlXaK728OzSVURXXv0PNcM7P6ucSpDfmNY4Rzh3OdgZdRuWc8Wb40eyjOpFbVTkXERihIFuQJGcFj9HW8sxrG+Hc9pTtNebNGeLC4tQ+pH2dezPmzi09uFTHc4/r0vcv1bs73tVXR77SrBWzdN7fz9OANwbovkX36Z3v39He9L11rvX1UWdLywk9Jmhw7GBJzJ1Dy2RWzrWRcE6q6vizOZm5cwCApiOcA7yktYdzHUI6KMQ/RJLza63e0tJog+Nn9dOGezZo832b1S6onXlun2jnC3Gjcu7/Nv6fnlj5hG789Eb96ds/yeFwuFzLaGk5svNI9YzqqRsG3iBJWrCn9jCvpTFmUMSExtRoIeTLzMq5gqrKuW2ntun+/92vHSk7vLQrV8YbNIeyDp3zuUbV3KDYQeYcE7RNF3S5QB1DOyqvNM+8McCd0grT9OqGV5VZlOn2awG+xGwl7IF5c2gencI7ySKLyirLlJiWqCdWPiHJ+bvgisMrvLw7NJVROTcgZkCtx0d3ruqE0ahwLnaQy+fGawIjSMsvyzfnxXWJ6CKLxeIyd854fXVm5dz5cedLcoZzR7NrVs7Vx/BOw9U9sruKyos0ZM4QbU7erOjgaP1hwh80scdE+Vn8tC9jn+Ztn6d7/3evBr45UP+38f9qXWt10mpJ0qU9LjW/ZtpaoiVKK2p5c9Gbygjntpxi7hwAoOkI5wAvsDvsLvMSWiOLxeLS2vLMeXOG3tG9zTkQBqNy7ljOMe1N36unVz9tHnt69dN6/KvHXQI6I4QzQjnjn62ltWVLnDcn1T5z7qnVT2nu93M18u2R+t2q39WrnaQ7GXtLzk8+53O3nfqxpSUVHG2e1WKtam25b+E5n2932BtdMVJcXqwrP7hSj3z5iF7Z8Eqj1gBaopySHPPGCeZ8thwBfgHmz/87P79TuaW5ssh5Y9Hb29725tbQRJX2SvPGudoq5yTXNvVnBmT1kRCb4PK58ZogyBakTmGdzMdjQmLMG6Wqh3NG5Vz3drWHc8dzj5s3W51ZOXcuFovFrJ7LLc1Vj3Y9tP7u9Xp6/NP6esbXSv9Nuj6/6XM9OfZJ83rLDy+vsU5pRanWHV8nSZrYc6JZLUhbS7REbW3mnFT1fW5LMuEcAKDpCOcAL0grTFNZZZmsFqviI+K9vR23Me5IPVs4V5vY0FhFBEbIIYeu++Q6FVcUa2KPiXrlcucb0y9teEkzFs7Q9tPblVaYZt59aoRyPaN6alTnUa2mtaURILW0OxKN/eaX5au4vFiV9kp9d/w7SVKlo1J/XvdnDf3nUM37fp45m8bTGhLOGe3VqOCAVNXa8ov9X8jusJ/1uT/95Kfq/EpnZRRlNOgaDodDM5fO1PaU7ZKkXWm7GrVXoCX6/vT3kpy/S5yt1Rx8jzF37ofUH2S1WPWfn/xHkrT4wGKv/bxH0x3LPaaSihIF+AXUWXVWvU19U9paSpKfxc8lQKs+q7prZFfz49oq5868dmRQpNka06h2qb5efd059E75Wfw0LG6Y1t+9Xv06VM0OjwqO0vT+0/XnyX/W36f8XVLtrSo3ntyokooSdQztqAEdBphBZ3pRutktA2gp2trMOclZRWu1WJWcn6xT+ae8vR0AQAtHOAd4gfHCMT48Xjarzcu7cZ/6VM7VxmKxmHfK7svYp0C/QL119VuaNWaW5l0zTxZZ9J+d/9Hwt4er9+u9ZXfYNaLTCJcX2UZQ98nuT5r5q/K86m0tW5LIwEgF+AVIcr5w+yH1B+WX5SsiMEKf3vCpOoV10oHMA7rvf/epy6tddP4/z9e7O9712P6KyotUUFYgyTlP7mwcDodZOUcFByTp0p6XKiwgTKfyT531ztnSilIt2r9IaYVp+vbYtw26xlvb3nL5f8KoWADaAqOlZfUZVmgZjLlzkvTg6Ad125DbNK7bOFU6KvXvHf/24s7QFMa8ub7t+8rP6lfrc7pGdDWDserBVX11Du+syMBISc45c/5+/uax6oFg9fAtLtQZziXlJCmlIEVS7VV7RjVbbevV1/lx5+vUo6e05b4t6hTeqc7nGSHjibwTyivNczlmtrTseaksFotCA0LNvdDaEi1NW6ycCw0INf8fX3tsrZd3AwBo6QjnAC9o7fPmDGY4l9uwcE6qamMjSc+Of9YcCH/P8Hu0/PblmtZvmkL8Q8xw5eaEm13Ov37g9ZKkb459o9KK0iZ9Hd7WUttaWiwW8y7KtMI088XL2K5jdf3A67XngT3608Q/6cIuF8oii35I/UG/XPLLc1YhNZfq7TbPdSf/ybyTSi9Kl81q05COQ9y9NbQAgbZAXdP3GknSG1veqPN5ezP2qtLhbGlZn1mLZZVl2p22W//e/m89tOwhSc43tyXpcPZhVdgrmrhzoGUgnGu5jMq5+PB4/XHiHyVJ94+4X5I07/t5jW7zC+/am/7jvLkOtc+bk5y/+/3vlv/pi5u/cPldvr4sFos5g8343d9QPUz7/+zdd3hUZdoG8PtMSZ30EAKBEAgQAqH3DqIUQUSRYkXs4qq4uK66FtRV14b6rYpKUXSxAgLSi6B06ZDQSyAEkpDey5Tvj+P7ZiaZSc+k3b/r4rqSmTNn3oRMO/d5nqe1d+nKOdHhwEPvYffzRs/gnvJrjaKRf6eVFeQZ5DCcFPzc/dDSqyWA0tVzv138DQAwMmykvEz8zGxtSQ1JVkGW/Jxq/ZhsCsZ3GA8AWHZyWR2vhIiIGjqGc0R14FK6Og+hqYRzF9MuFodzbhUL58TZaN2ad8Ozg561uW50+GisnL4SKc+lYP3d6zF//Hw81f8pm23a+raFwcUAs8WMi+kXq/mT1C3xoaehtbUEitecmJ2IHZfVcG5o6FAAgK+bL/417F/Y8+AeJD6bCJ1Gh3xjvtPag1iHcxkFGTLotUccJO7SrIuccUL094F/BwB8d/w7xKbH2t3meGJxK8qjiUcd7stoNuLmpTfD400PRM2PwgOrH0CRuQh3dL4DH439CO46dxjNRlxMa9jPZ0QVJdq4lqx2ofpvRvcZGNx6MJbevhRerl4AgMmRk+Hr5otLGZew+cJmAGo18Noza23mCNvz1o63MHLJSMRlxNX62skxUTnnaN6c0K15N0yMmFjl++ka1BUAEBFgW3kn2lICJSrn/grnRBV7G582UBSl1H6tw7nW3q1tqvJqg5ifZ10NV2AswL74fQCAEWEj5OWdA9X529ZBXpGpqNzHBlFdEmFyC0ML+Ln71fFqnGtql6kAgLVn1pb5GZKIiKg8DOeI6kCTq5yrZFtLAHi8z+OYO3wuVk1f5fDDs5vODWPbj8VjfR6T7RMFRVHQ3r89AOBc6rkq/gT1gwiRGlrlHFDc4iQxxyqcazO01HbNPJvJx8OFtAtOWZt1OAfYVs+ZLWbMWjsLd6+4G6tOrcLuuN0AWMFBtvq07IOb2t0Ek8WE93a9Z3cb6zlxRxMch3Obz2/G+nPrYbKY4OXihX4h/TC7/2x8detX0CgaWYHA1pYN29GEozLsJ8dMZpN8LahK9Q3Vrb4hfbHzgZ0YHjZcXuaud8d93e4DADy/5Xn0+bIPIj6JwITvJ+Cz/Z853JfRbMRbO97C9tjtGLt0rHw/Sc53JPEIAKBzs861ej/PDHgGD/V8CE/0fcLmcpuZc3Yq57IKswA4/nxlHfRbz7KrLeJEQ+vA7WjiURSaChHoESg/pwDFlXMiyEvOTUbEJxHov7C/0zpKEFWW+HsVf79NSY/gHmjv3x55xjysPbO2rpdDREQNGMM5ojpwObNphXPXsq/harZaDVXRcM7P3Q+vjni1Wh+exYfe86nnq7yP+qChzpwDiivndsXtQlJOEly1rujbsq/dbcUZ0c6qDBIzEoT4rOJw7tC1Q5h/YD6+O/4dJv04Ce/veR8A581RaS8MeQEAsOjwIjnrxpp1OHcp4xLS89Pt7mfJ0SUAgFl9ZiHj+Qzse2gfPhz7IQwuBgBgONcIFJmKcMM3N2DI4iFOqxBuqK5kXkGhqRB6jb7JtcpqzB7u/TAANaA4eO2gvPz//vw/hxVCRxOOIqcoB4BapTHx+4nIK8qT1zO4cI68ojzZmrl/SP9ava+IwAgsmLgA4f7hNpc7nDn3Vzgn2Js3B6jz7MSJbtZBX20R4Vz09Wh52d4rewGov0Pr6j4Z5P0Vdjy3+TlcTL+I/Vf3l3liD1FdEsGz+PttShRFwdTOavXcTyca/ox7IiKqOwzniOpAU6mcC3APgKfeE0DxrKWKhnM1IdxP/VDf0CvnGnJbSzFzbtWpVQCA/q36w1XnandbcdDFWW1IS1bOXcm8Ir8WfzNBnkEI8QoBAChQ7Fb9UdM2ImwEBrQagAJTAT7a+1Gp60VbSwXqQTh7B9nS8tKw8tRKAOpcTXvtuEQ4dzrldA2tnJwtMScRqXmpKDAVYPmJ5XW9nHpNPAe382tX7mwnajiigqLwj0H/wA1tb8An4z7BhacuwMvFC2dSzsg5XCXtvLwTgNoq0dfNF7viduG2H2/Dk+ueRM8vesLlDRc8t/k5Z/4YTdLBawdhNBvR3LO5U6rO7Gnl3QoGFwMUKDYtLkuGc44+XymKgp4t1NaWYT5htbZOQba1tKqcE+HcgFYDbLaNbBYJBQqSc5Ox4uQKfHXkK3ndhnMban2tRFUhK+eaYDgHFLe2XHd2HbIKsup4NURE1FAxnCOqA00lnFMURX6AF8GHM8M52dYyrWGHcw25raUIFNPy0wAUz5uzR4Rz9aGtpTgwPL7DeFx+5jJ2zNyB3+//XR5oIRIURZHVc5/t/8ymMi4tL01WZA5rMwyA/blzP8b8iAJTAboGdbWZiWONlXMNn3W1HM+yLtvZ1LMAYNP2jRqHd296F1vv24on+j2Btn5tcV93tdXlZwfst7bcGaeGc9O7TMeq6avgqnXFxvMb8cn+T3Ak4QhMFhM+2/8ZcotynfYzNEV74vYAAAa2Hmj3BBJn0Gq0WDltJX6a8pNsmw7A5msAaONrv3IOAJ7s9yQGtBogD6rXJtH+81r2NdmO1VE456H3kJ+Z7l95PwC10g8A1p9bX+trJaqKptzWElBPGukY0BH5xnysObOmrpdDREQNFMM5IifLLcpFcm4ygMYfzgGlZzrUSTjXgCvncoty5QGnhtjWUlTOCWWFc7KtpZMq5xJz1LaWorrTXuVce//20CgaDAkdwqo5cmhCxwmICopCVmEW5u+fLy8XLS3DfMPk3769yjnR0nJG9xkOD3pGBEQAYDjXkF3Luia/3nV5l80JAWRLPAd38O9Qxyuh2vZ4n8cBqBX21q/DAGCxWGTl3JDQIRjWZhhWTFuBkWEj8VS/p/DTHT8hzDcMOUU5nPlTy/bGq6HSwFYD63Qdo9qNwh2d77C5zE3nBh9XH/l9WZ+vJnScgD0P7kFks8haW6Pg5eol1xKTFIOknCRcTL8IBYrdFu8i4MgqzEKgRyBWT18NANgdtxsZ+Rm1vl6iysjIz5DP2bU9h7K+YmtLIiKqCQzniJwsLiMOAODl4mXzQbKxqg/hXGx6LIxmo9PutyaJeXOuWld4uXjV8Woqz7oVp0bRYGBrxwd1xPyPmpg5l5GfgXl75tmdASaIyrnuwd0B2M6csw7niMqjUTR4ZsAzAIAfYn6Ql4uWll2DuqJHcA8ApSvnTiWfwt4re6FVtLi7290O76NDgBpSxGfFI7swuyaXT05iXTlngQXLT7K1pSN8Dm46ugR1wfA2w2GymLDg4AKb6y6mX0RCdgJctC7oG6KGGTd3uBm/zfgNH4/7GFO6TMH0LtMB2D73Us2yWCyycq5kxVd9Yd3a0tHMubogW1tej8G+K/sAqC0sfdxKfwa0bg34/k3vo3fL3ogIiIDJYsKWC1ucs2CiCjpx/QQAIMQrBL5uvnW7mDokqnDXn12PzILMOl4NERE1RAzniJxMtLRs49umztrCOFNdhnMtvVrCTecGo9kof+8NjWxp6dmsQf69WLca6hHcA96u3g63FW0t47PikW/Mr9b9vrf7PczZNAcTvpuAIlOR3W3E77ZXcC95vwIPDFNl3RpxK7SKFscSj8nWrKJyrmtQVxkCRydF25wssOSIWjU3tv3YUnNzrPm7+yPQIxAAcDblbK38DFS7rmWrlXMeeg8AwM8nfq7L5dRrfA5uWmb1nQUA+PLQlyg0FcrLRdVcn5Z94KZzs3vb6VFqOLf2zFoeGK0llzMu41r2Neg0OvRp2aeul2OXeP3UKBrZDrI+EIFbTFJMcUvLEPsB55DQIQCAkWEjZbvXse3HAuDcOap/opOiATTdlpZCVFAUIgIiUGAqwK+nf63r5TQa51LPYeCigdh4bmNdL4WIqNYxnCNysqYyb06wDucUKHbPFK0tGkUjWyU21NaW13PVyrmGOG8OsK2cK6ulJQAEegTC4GIAAFxKv1St+918YTMA4OC1g3jt99fsbiPaWvZqoYZzojVLVkGWvC7cL7xa66CmI8AjQLY+XXVqFQDgWOIxAEDX5l3Rzq8dDC4GFJgKcDr5NADAZDbh22PfAgDu73F/uffB1pYNm6icu7fbvQDU4IGtLUszW8w4n3YeAMO5pmJSp0kINgQjITsBK0+tlJfLlpathzi8bbfm3dApsBMKTAXyuZdqlgiVujfvLk8uqG9EOBfiFQK9Vl/HqykmKueir0fL1qCOqg/HdxiPnTN3Ys1da+QJeePajwOgzp2zWCxOWDFRxch5c82adjinKApuj7wdALD14tY6Xk3j8b9j/8PeK3sx9/e5db0UIqJax3COyMkuZaihQ6h30wjnRDUUAPi5+0GjOPdpp6HPnRNtLa1DroYk0CMQCtQDDMPaDCtzW0VR5N9LdebOZRZk4uDVg/L7t3e+LQ/wCSazSc5+7NmiJwAgMTsRRaYieVC4mUczp4bJ1PBNipgEAFh5eiUsFos8q7hrUFdoFA26Ne8GoLi15fpz6xGfFQ8/Nz/c0vGWcvffMaAjAOB0yulaWD3VNlE516dlHwxuPRgA2NrSjvhMtXpap9GhjW/9aU9HtcdF64KHez0MAHhzx5swmU0AisO5waGDHd5WURS2tqxle66oLS3ret5cWUQ4V99OfhTBxfHE4/gz/k8AQP9W/e1uqygKBocOtglAh4cNh7vOHfFZ8fI9BVF9wHCumAjhxWdIqj5xQvu+K/tktxsiosaK4RyRkzXlyjlntrQU2vs17HDOuq1lQ6TT6NA3pC983XwxImxEuduLuXOiLWBV7Ly8EyaLCe382uH+HvfDbDHj3l/utWl3lZqXCrPFDEAdYq7X6GGBBdeyr7GdGlXZrZ1uBaD+DR68dhBZhVnQa/QyVOveXG1teTThKExmE17Y+gIA4IGeD8BV51ru/sV+WDnXMInKuZZeLeWMkp9ifqrLJdVL4jm4rW9b6DS6Ol4NOcvT/Z+Gr5svjiUew6LDi5CSm4KTyScBAINaDyrztqK15abzm5CSm1Lra21qRDhXX+fNAUBr79YAgHD/+tXxILJZJBQoSMlLQXZhNjz1npUKM9x0bvL9M1tbUn0Sk/RXONfE21oCxZ1WzqcynKspcZlxANQZzevPrq/j1RAR1S6Gc0RO1tTCOX93f9mqsE7CuYZeOdfA21oCwO/3/47Yp2Mr9P/fzldtQ3oxreqVc9subgOgzuz4eOzHaOvbFrHpsXh207NyG9G2MsA9AC5aFzmfJD4znuEcVVmYbxh6BPeA2WLG2zvfBqAemBMttmQ4l3gUiw8vRnRSNPzc/PDi0BcrtH+2tWzYrmWplXMtDC0wOXIyFCjYFbdLttQlFZ+Dm6YAjwDMHT4XAPDSby9h/Tn1YFxkYKSct+lIRGAEegb3hNFsZDVqDcs35uPwtcMAgIGt62/l3IweM/DPwf/Ei0Mq9nrqLB56D9liHwD6hfSDVqOt1D6sW1sS1QdpeWmyG0DnZp3reDV1TzzG47PikVeUV8eraRziMuLk12vPrq3DlRAR1T6Gc0RO1tTCOUVRZPVcXYZzDbXNhAjnGmpbS0A967ei7SFF5Vx12lpuiy0O57xdvfHlLV8CAH6M+VHO6xAVieL32sq7FQD1QxUPDFN1iNaWK06uAKC2tBS6B6vh3MFrB/HytpcBAC8Pe7nCz43WbS05e6bu7Y/fj1PJpyq0rdFslM87Lb1aIsQ7RB7o3nx+c62tsSHic3DTNavvLEQEROB67nU8uf5JAMCQUMfz5qyJ6rkfotnasiLWnFmDJ9c9iUJTYZnbHbp2CEXmIgR5Btm0qq9vAj0C8Z8b/4OIwIi6Xkop1pVFVak+HNt+LAC1Kp+tLak+EC0tW3u3hrerdx2vpu4FegTCy8ULABCbHlu3i2kELBaLrJwDgI3nN5b7WkVE1JAxnCNyIrPFLN9oNJVwDkCdhnOivc351POyjWFDIttaNuDKucoQB36q2tYyPT8dhxPUM7xHth0JABgaOhQaRYPMgkx5lmfJcC7EOwQAcCXzCg8MU7VM6jTJ5nvrcK5rUFcoUJCcm4zEnESE+4XjiX5PVHjf4f7hUKAgsyCT8xfq2LWsaxjy1RD0+qIXjiYcLXf7xOxEWGCBVtHKNsW9W/QGANm6z5H3dr2H6cumw2g2Vn/hDcDZ1LMA+BzcFOm1enww+gMA6us5UPFwTrSK3R67HVkFWbWyvsbkxa0v4pP9n+DX07+Wud2euOKWloqiOGNpjU5Usyj5df8Q+/PmytIhoAOigqJQZC5Ct/ndcMdPd8hqRqK6wJaWthRFKT7m0EBPCK5PUvNSkVuUC0DtcpNZkFlqfjwRUWPCcI7IiZJyklBoKoRG0cg2ek1BmE8YAMDfzfnhXKhPKHQaHQpMBYjPjHf6/VfX9Zy/2lo20JlzlSXaglS1cu6PS3/AbDGjY0BH+Rhz1bnKg7wnr6sHwROz1baWzQ3NAQAhXmo4x7aWVF3dmndDG582Nt8Lni6e6BDQQX7/zo3vwEXrUuF9u+nc0MZX3TdbW9atXXG7UGgqRJ4xD7f9eFu5c67EvLlgQzA0ivr2u1NgJwAos/rOYrHgtd9fw48xP+JIwpGaWXwd2Hl5J+btmVehik8+BzdtN3e4GaPDR8vvB7ceXKHbhfmGIcgzCBZYcDrldG0tr9FIyE4AABy4eqDM7fbG7wUADGxVf1ta1nfWAUb/VpUP5wDgl2m/4PbI22GBBctPLkevL3txZinVGVE5V5n5iY0d587VHHEyezOPZpjQcQIAYO0ZtrYkosaL4RyRE4mWli29WsoZRE3BzJ4zcUPbG3Bf9/ucft86jU5WYzXEuXONoa1lZYgqy/T8dKTlpQEAjiYcxV3L77LpPe/I9tjtANSWltYiAyMBACeunwBgVTnnYdvW8mzqWcRnqSEuDwxTVSiKYlM917V5V5vrewT3AKBWg9weeXul9y/mzvHgc93ad2Wf/Ppi+kXcufxOmMwmh9uLql3rE3MqEs4l5yYjpygHQPHB9IbGYrHgzuV3Ys6mOfj90u/lbiteqzv4dyhzW2qcFEXBvNHz4K5zR2RgpM28rvLI58dkPj+WxWwxIyVPPaHgwDXH4ZzFYpGVcwznqm5AqwHQa/To3rw7gg3BVdpHe//2WD51OaIfj8YtHW8BALz2+2tscU11guFcaTKcY+VctYnP/KE+oTKcW3N2TV0uiYioVjGcI3KipjZvTujVohe23rcVfUP61sn9N+S5c02traWni6cMIkX13JPrn8T30d/jvd3vlXt7MW9uRNgIm8tFOCfax5Vqa/lX5dyOyzsAAH5ufnXShpUah9s63QZAnUEh/raE5wY9hymdp2DRxEVVahEm5s6xcq5uiWqSvw/4Ozz0Hth8YTP+9du/HG4vKudaeLWQl4nnpfNp51FgLLB7u0sZl+TXDTWcO51yGlcyrwAoPkHCkWvZ15BnzINW0coqUWp6ugR1wam/ncKOmTsq9TzJkxcqJjUvVbZ6P3D1gMOA51zqOcRnxUOv0aNPyz7OXGKj0s6vHfY/vB9r76p+5UeXoC749rZv4an3xInrJ+T7XiJnYlvL0tjWsuaIyrnWPq0xOnw0dBodzqScwdmUs3W8MiKi2sFwjsiJLqWrB9maWjhX10Q419Aq5y6mXURuUS60irbKZ9o2RLK1ZdpFnEk5IwOz8g5ApOalytlPJcO5zs06AygO5xJzbNtaisq51LxUAKyao+oZ1mYYPh//Ob6f/H2pA8u9W/bGT1N+kiFbZTGcq3tFpiLZCu6R3o9g8cTFAIB3dr2D/fH77d5GhHMtDcWVc8GGYHi7esNsMTt8fYpNj5Vfi3a8Dc3WC1vl1+X93YrfQxvfNpVq+UqNT6hPKAI8Aip1m4hAhnMVYT2zND0/3eGc303nNwFQK709XTydsrbGqntwdznfuLp83Hwwo/sMAMAnf35SI/skqqiU3BT5OUp8viK2taxJ4oT21t6t4e3qjWFthgEA1p51fIKDyWzC+rPr8bd1f5MV30REDQXDOSInEm80rOcRUe0rL5zLyM+QZxDXtEPXDiGvKK9Kt11zRm3f0NQOiog2pBfTL2Lx4cXy8uikaDmDz57fY3+HBRZEBkaWCjMjmzloaykq50ocMGE4R9WhKAoe7fMobmx3Y43vm+Fc3TuWeAz5xnz4ufmhQ0AHTIuahqldpgIAvjv+nd3bXMtS21paV84pilJua0vrcK6hVs5tvVjxcE6cFc3nYKoKtrWsmJLvpRzNndt4fiMA2MwApPrhiX5PAABWnV4lT/4kcgYx/7aNTxsYXAx1u5h6RFTOXUy/WGabcyqfqJwTJ7RP6PBXa8szpVtbZhVk4a0dbyH8/8Jx83c349P9n2L2xtlOWysRUU1gOEfkJH/G/4kVp1YAYOWcs4kz2eyFc0cSjiBkXgg6f9oZh64dqtH7XXlqJXp/2RtPrX+qSrcXvdVFr/WmQoRzZ1LOYMnRJQAAvUad0ehoXlG+MR/LTy4HUHreHFA82ykpJwmpeamlwjnrOVAADwxT/SXmMl7KuFQrs2bOp55HblFuje+3Mdl7RW1p2S+kHzSK+lb67q53AwB+PvGz3ZM9rmb/VTlX4rmmMuGcOFPdWk5hTiVX71wms8mm6rmilXPt/fgcTJUnHk9nUs7YPA4z8jPw+YHPGWL8RcwzFuyFc4WmQvnYHRM+xinroorr3Kwzbmh7A8wWMz4/8HldL4eaEFFRK6qZSNXauzX0Gj0KTYVyfjlVjZg519q7NQDg5g43A1DHT+Qb8222fXbTs/jXb//CpYxL8Hb1BlC9k6OJiOoCwzmiWma2mPGfnf/B4MWDcSXzCtr4tMGUzlPqellNinXlXMmD2a///jpyinJwOuU0BiwcgPd3v19jVXTrz64HAPwY86PDeUKOZBVkYXvsdgCQg9+bCtHW8ofoH5CQnYAgzyA82PNBAMC2i7atLU8ln8KstbPQ4oMWWHp8KQBgVLtRpfZpcDHIUPzk9ZPFbS091baWLloXGdQBDOeo/hJ/x7lFuUjJS6nRfe+J24P2/22Pv637W6Vul1mQCaPZWKNrcSaT2YQn1z2JH6J/qND2Yt7cgFYD5GWjw0fD29Ub8VnxdtvpiMq5UuFcwF/hXErlK+f2XdkH33d88dJvL1Vo3XXhSMIRpOenyxaVF9MvotBU6HD7c2lqONchoINT1keNS1u/ttBr9Mgz5smDewDw3u738PjaxxH5aST+/ce/bQ7upeSmNLmDeKJyTpxccOBa6XBu75W9yC7MRjOPZuge3N2p66OKebLfkwCABYcWNNq/4cyCTKw+vZqVSPXIhvMbAADj2o+r45XUL1qNVp5AZ93a8lTyKYfVyWSf9cw5QO0a0tyzOQpNhfgz/k+bbTddUMPit254Cwlz1OMGRrMRhxMOO3fRRETVwHCOqJZNWzYNL2x9AUazEdO6TMORx46gmWezul5WkxLmGwaNokFOUY7NnI2T10/il1O/AABuancTisxF+Mfmf2DKz1NqpCJlX/w+AEBWYXHQVlGbL2xGoakQ7f3bV3k2VUPV1k+tnMsqzAIAzOg+Q7ZUsq7ASM1LxcBFAzH/wHyk56ejtXdrvDbiNUyMmGh3v5GBamvL/Vf3y8og60AuxKu4tSXDOaqv3HRuMlSu6SoQ0X5wzZk1FX4OPJV8CsHvB+PRXx+t0bU40774ffhk/yd4esPTFdpeVM5Zh3NuOjfcGnErAOCnmJ9K3UbMnGthaGFzuWi5e/L6Sbv3VVY49/ul32E0G7H5wuYKrbsuiL+pse3HwuBigNlidjjfCrCqnONzMFWBTqOTrcWs586J92B5xjy8vO1lRH0WhUk/TELoh6EIfC8Q4f8XXu+rUKvCZDbh0z8/LVWZKyrn+of0BwAcvHqw1IlpG8+pLS1vCr9JhnhUv0zoOAGhPqFIyUvBjzE/1vVyasUdP92BW3+4VX5eo7oVnxmPY4nHoEDBTeE31fVy6h1xgql4n5NXlIchi4dg6FdD5VxzKpvJbMKVzCsAiivnFEWRlZo7Lu2Q28amxyI2PRY6jQ5P9n8S7np3+d5cvFcnImoI+E6bqBadvH4Sy04sg06jw6KJi/D95O/h6+Zb18tqclx1rvJMNlFdBQDv7n4XADCp0yRsvGcjvpzwJXQaHVacXGFzUKcqsguzcTzpuPx+1elVlbq96Kk+ocMEKIpSrbU0NKKtpfBAzwcwPGw4FCg4mXxSHqBecHAB0vPT0TGgI7bcuwWxs2PxyvBXoNPo7O5XhHOiNaabzs1mVkIr71byax4YpvrMurVlTYq5HgNAPXBb0X2vOLkCecY8/Hrm1xpdizOJ4CwpJ8nmBA57UnJTZIDUL6SfzXVi7lzJ1pZGs1Hut6y2liUDUYvFUmZbS1EZdDHtYplrrksinBvVdlS58xItFgvDOaq2knPn8o352H91PwDgnRvfQUuvljifdh6rTq+SZ+dfy75W6mz8xmDp8aX42/q/YfaG2TaXi8q54W2Gw13njqzCrFKPS1GNwJaW9ZdOo8OsPrMAwGZGs5Cal4o/Lv1RZrVyfbY7brc8+YRzJOsHMYeyX0g/BHoE1vFq6h8xSuN8mlo5t/XiVqTkpSDfmC/fa1LZEnMSYTQboVW0NnOah4YOBaC2thR+j1U/0/dt2Vd+ph8QwnCOiBoehnNEtWjlqZUA1KqsB3o+0ORClvpkzsA5AIB/bvkndsftRlxGHP537H8AgOcHPw9FUfBw74cxqPUgALZnZVXFgasHYLaYoUD9P199enWFK1HMFjPWnl0LoOnNmwPUFhZaRQsAGNx6MDoFdoK/u79sq7Q9djuKTEX4ZP8nAIAXhryAUe1GlXtmd+dmnQEAf1z6A4Da0tL6MSkq57xcvNDMg9WtVH+18W0DoOYr52KSYuTX++P3V+g2Iuy+nntdHvBtaKwr0qKTosvcVlRERwREwN/d3+a6m9rdBB9XH1zLvoZdl3fJyxOzE2GBBVpFW6pyPtwvHDqNDjlFOaVmlKTkpSCnqLiaJ7Mg06Z12eXMywDU3312YXZFflSnKjAWyNfSioRzF9IuILswGy5al1InaRBVlAzn/jrJ6uDVgyg0FSLIMwj/GPQPnHriFD4e+zHmjZ6H3+//XVa8NsYDeeJAesmZy0m56skCwYZg9GzRE4Dt3Lnk3GQcvHoQgPq8RvXX+I7jAQDHEo+V+pzx2JrHMPzr4Wj7cVu8s/MdpOen18EK7Vt3dh1azWuFFSdXONzmjT/ekF+XnJNIdWPDObWl5dj2Y+t4JfWTqNwW4Zw4FgSgXj3+6jNx4llLr5Y2J9wObaOGc7vjdss2t9svbQcAjAgbIbcb2HoggMb5mk5EjRfDOaJaJFpwTOo0qW4XQni8z+OYHjUdRrMRU36eghd/exFGsxEjw0aif6v+crthoX+1TLhcvXBu3xX1AO74juNhcDEgPiseB68ddLh9Wl6a/PrA1QNIykmCt6u3fCPalOg0Otna8qFeD8nLR4aNBKDOnfvl1C+4knkFQZ5BmB41vUL7Fe3jRFsR65aWABDirYZz7f3bM0ineq2Nz1/hXDnVbZVpz2s0G20qhitSRVJkKrIJoU4m22/NWN8lZhdXpJUXztlraSm46lzl6711a8tr2eq8uWBDcKmTCPRavTzTumTrORG+BhuC4ap1VddqVT1nPVPLusKutr236z08vubxcucM7r2yF3nGPDT3bI7OzTqjo3/Z4ZwIPnsE94CrzrVmF01NRkSgbTi38/JOAOrJPoqiwMvVC0/1fwrPDHwGw9oMw/A2wwEUz5JsLCwWC367+BsAID4r3ub1QJxI0cyzGfq06APANpzbcmELLLCga1BXm8oFqn/a+7eHRtEgoyCjVHW1+Nu/mnUVz299Hq3mtcKDqx7E9tjt1Z6v/e3RbzFz1cxKz9QG1PfhM1fNRHxWvDxRsqT98ftlEASogTHVvtWnV8uWtiVZt9FmOGefrJxLPQ+T2YTVp1fL6xjOVUzJeXNC16Cu8Hb1RlZhFo4mHgVQ3LLaOpzr07IPNIoGcZlxiM+0PemNiKi+YjhHVEuuZF7B/qv7oUCRZ+VS3VEUBQtuWYDIwEhczbpaXDU35Hmb7UQYVjKci0mKwYCFA7D+7PoK3Z84yDOizQj5Acb67DlrH+75EP7v+uP+lfcjuzAbv55W28ONCR8DF61LxX7ARua/4/6Ll4a+hLu73i0vk+Fc7DZ8vO9jAMBjvR+Dm86tQvsUbS2FkuFcj+AeAEq3qiOqb8oK586mnMV7u97DkMVD4PamGz7b/1mF9nk+9bxN6yvRBq4sh64dsqnssq68a0isD2geTzxexpZlh3NAcWvLZSeXyTN75bw5Bwe5RWvLknPnRODW1rctmhvUOYPWVX6XMy7Lr53V2vJyxmX8c8s/8fnBz7H5fNmz7kRLyxva3gBFUcqtnBOBsJiDRVQV4vEk2uDtilNPIBgSOsTu9tbzaWpi3nB9Yd0GPN+Yb3NgWFQhNfNohj4tS4dzm86zpWVD4aZzk62urVs/ZuRnyBND5o+fj65BXZFTlIPFRxZj5JKRCPsozG4rzCuZVzB//3ybKu2SLBYL5myag6+PfF3ptv0A8OymZ2WrZ0cnxPx7x78BAH5ufgBYOecMmQWZmPzTZEz8YSIy8jNKXb/vyj6k56fD390ffVv2rYMV1n/WlXN7ruyx+btlOGdfydcn8d5WzJsTtBotBrceDEDtcGQ9b050PgIAg4sBXYO6Aig+6YuIqL5jOEdUS0QQM6j1IHlQjeqWwcWA5VOXw1PvCQDoGdyzVLuega0GQqNoEJsea1OV8M6ud7Avfh9e/+P1cu/HYrHIA7j9W/WX4ayjD7ALDi0AACw5ugR9vuyD76O/B9A0W1oKY9uPxRs3vAG9Vi8vG9ZmGDSKBmdTz2J33G7oNXo83vfxCu8zwCPAJpBr7mn7uBzfYTwOPnIQH475sPo/AFEtctTW8tVtr6LjJx3x3JbnsCtuFwpNhfjvn/+t0D7FvDkxF/XA1QMyXHJEtLQUTlw/UaH7qm+sw7no644r58wWs/yg7yicu7HdjfBz80NCdoKsWriWpR4gLTlvThAnDpSsnBPhXJhvGIINwepa/6ryyy3KRUpeitz2Yrpzwrlvj34LC9QAY9mJZWVuaz1vDkC54Zz43fIECaoO0dYyLjMO2YXZMpwTB/VK6tmiJ/QaPZJykmp8jmdd2nphq8331m1zbSrn/grnDicchtFshMVikeHc6PDRTlotVYf17FJBVLK39GqJx/o8hqOPHcXv9/+Oh3s9DB9XH8RlxuGZjc+UCqRf3PoiZq2bhSfXP+nw/i6mX5Shw564PZVa69YLW/HVka/k9+dSz5UKAo8mHMXq06uhQMHLw14GgAbbNrshic+Mh9FsRKGpEHuulP5/XX9OPUF1dPhoaDVaZy+vQWjn1w6AGsSVDL+tu+SQerxk6bGlaPFBC3T+tLP8/YjjL6E+oaVuM6yN2uHoj8t/2J03J1ifdENE1BDU+3AuKysLc+fORdeuXWEwGODj44O+ffvigw8+QGFh9YYbJyYmYs6cOYiIiIC7uzv8/f0xdOhQLFy4sEJnTp4/fx6PPvoo2rZtCzc3NzRr1gxjxozB8uXLq7UuahxES8vbOt1Wxysha5HNIvHd5O8QFRSFj8Z+VKp9oZerF3q16AWguHou35gvg7V9V/bJsz0dicuMQ0J2AnQaHXq16IWbO9wMraJFdFI0LqRdsNn2VPIpnEw+Cb1GjxCvEJxOOY3zaeehQMG49uNq6sduFHzcfOT/DQBMi5omD1hXlHX1XMnKOUVR0KtFL7jr3au3UKJa5qhy7ucTPwNQK0Q+HPMhdBodTiWfKjVv6K7ld6H7592RVZAlLxNVbxM6ToCn3hM5RTnltqkU4Vz35uo8yBPJDTOcKzlzzlG7r1PJp5BZkAkPvQeigqLsbuOidZGv+6JCW1TOtTTYD+fkgdUU++FcG5828rlOrNX65BHrbWuTxWLB10e/lt+vPL0SRaYiu9tmF2bLSrhR7dRwrkNABwBqm0/rvz0AKDQV4vC1wwBYOUfVE+ARgAD3AABqi7bUvFS469zlbLWS3HRu8jp7B/KuZl3FnI1z4P22N277sfR7+q0XtmLQokFyRlt9IcJxQbT3MlvMskVgkGcQIgIjYHAxILcoF9tjt+Nfv/0L8VnxcNO5Oaw2pPqlU4CdcO6vSmzxvldRFAxrMwxf3vIlrs65Cp1Gh8yCTNlCThAt+BcdXoRtF7fZvT/rx8nuK7srvM68ojw8uuZRAMCsPrMQ6BEICyyl3mu8ueNNAGoluvgbZOVc7ROVlkBxS1Rrct5cOFtaOuKh90ALg9olYenxpQCKP2+ycq5Ycm4ypi6bint+uQfp+em4ln0Nv55ROwfJtpYlKucAYGjoXx2OLu3Atlj1+cm6paXAcI6IGpp6Hc5dunQJ3bp1w2uvvYbo6GhYLBYUFBTgwIEDePbZZzFgwACkpVXtDJSDBw+iS5cumDdvHs6cOQOdToesrCzs3LkTDz/8MMaNG1dm+Ldu3Tp069YNX375JWJjY+Hq6orU1FRs2rQJd9xxBx544IFG1RqFSntt+2vo9Eknu0FNal6qPJvntkiGc/XNxIiJOP74cXn2VUnWb/wAtb1PZkEmAMACC9aeWVvm/sW8uW7Nu8FD7wF/d395X6tO2VbP/XJSDXFHtRuFo48dxS0dbwEADA8bjmaezary4zVqorUlADzd/+lK375zs87y65LhHFFDISrnUvNSkV2YDQAoMBbIiqQfJv+A2QNmy+cd0SoXUKvbvo/+HscSj8nqCKC4cq5rUFdZSbE/3nFrS5PZJA/ePN5HrWBtsG0trWbOZRdm27SLtCZmW/Rt2ddmSH1J9/e4HwDwffT3Nq3FymtrWapyLiMWgFo5Jyp9RZVfyTU6o3Jud9xunEs9B0+9JwI9ApGalyp/JyVdSLsAo9mIQI9A2XLN180XzTzU17WzqWdttj+acBQFpgL4u/ujvX/72vwxqAkQc+dE5UK/kH5ltgkfEFL6QF5eUR4eX/M42n7cFvP2zkNWYRZWnlpZ6n3/O7vewZ4re/Dwrw9Xe45XTTGajfKxKZ47ROVcen46TBa1KjrQIxAaRYPeLXoDAG769ia8vfNtAMC93e7lyUoNhGzlajU3VgReJVu6A2qAICqZrV+3rd9HAMAjax6x297S+nFy6Nohm20sFgu+P/59qZOCAOA/O/+D82nnEeIVgrdvfFue5GLdTrrAWCBPiHx+yPMI9AgEoB7M57GV2mV9olLJcC4xO1EGt2Pas91tWURry0JTIVy1rrgj8g4ADOeE9Px09Pi8B5adWAadRidbpC4/qRY4OJo5B6jz5Fy1rriee112bygrnDtw9YDDk8iIiOqTehvOGY1G3HLLLYiNjUWLFi2wefNm5OTkIDc3Fz/88AO8vLxw+PBh3HPPPZXed0ZGBiZMmICUlBR06tQJ+/fvR1ZWFnJycvDJJ59Ar9dj48aNmD17tt3bX7x4EVOnTkVubi4GDx6M06dPIyMjAxkZGXjllVcAAF999RXee++96vwKqJ5beHghTqectntW4Zoza2CymNCteTfZ3oAaDhnO/VU591PMTwAgWyaIM7sckTOJQorbnonWlitPr7TZdsWpFQCA2zvdjgCPAKyavgpb79uKHyb/UM2fonESv8cb2t4gA4TKsD5IwXaz1FB5u3rL9pOiteXJ5JMwWUzwc/OT7RMndpwIAFh9pngg/bdHv5Vfb75QPDNMhHNdmnWRbQVF5ZM9RxKOILMgEz6uPpgeNR2AGhyl5KY4vE19ZLFYZODl4+oDwPEMnBUn1efr8R3Gl7nPIaFDEBkYiZyiHCw9vrS4cs5BW0sRJFzNumoz58VeW0tZOffXwQsRODhj5tzXR74GoFYz3N7pdgCOW1uKdYozyAVHrS2tW1qWrGgnqizR2lJUj5VXAda/lVqtaR06vLXjLXx+8HMUmgoxNHSoDJmtA+kCY4E8iH044TCWHltaUz9CtRy6dggZBRnwdfPFuA5qFwZROSfaA/q4+sjnD+t5PYNaD8KPd/yIz8ZXbF4p1T3xGmKvrWVks9LhHKC+1gPFr/2A+rxsNBvh5eKFEK8QnEs9h9d/L93O3/pxYjQbbeYVLjuxDHetuAuPrXms1O02nFcrr/59w7/h7eqNqGZqOGf9mns44TAKTYVo5tEM3Zt3lycq5hvzbWbcUs0TLbgB9TXZeg7xxvMbAagjISrbtaSpCfcLl1/fFH4TWnm3AsBwTvjt4m+Iz4pHC0ML7HtoHxZNXAQA2Hhuo80JcvbaWrrqXOXrdU5RTql5c0LHgI7wdfNFnjEPxxKP1eJPQ0RUM+ptOLdkyRIcP66eRbV8+XLceOONAACNRoNp06bhiy++AKBWsG3dutXhfux5//33kZCQAHd3d6xbtw59+qgHeF1cXPDEE0/gtddeAwB8+eWXOHOm9FyMV155BTk5OQgODsaaNWvQsaN6oMFgMOC1117DI488AgB48803q1zZR/VbVkEWrmReAWC/lZRoaTkpYpITV0U1RRzEibkeg/jMeHkG59uj1LOJN53fhHxjvsPb743/K5yzmkk0qdMkKFDwx6U/5IfayxmXceDqAShQMDFCPYiuKApuaHsDgyMHBocOxtHHjuKXab9U6fbWBylYOUcNmWhtKV6DxJnnUUFRMty4JUKtxN1xaQfS8tJgtpjxv+P/k/vYcmELAKDIVITTyeoZ912CusizWPdfdVw5J1paDgkdAh83H7mehjZ3LqswSz6fj2yrVuZan8UvpOSmyIPykztPLnOfiqLgsT7qgcnPD3wuw7mSQZXg6+YrD3aJygeLxWITzonqFxF6iYMXogXkxfSLtVpVkFuUix9jfgSgVgZO6TIFgHqCidFsLLW9WGfJg3ginDubYls5J8I5trSkmiDCOcHRvDlBvF87nHAYBcYC5BXlYf6B+QCAhbcsxB8z/5Dv6X+7+Ju83d4re5FnLK4a+tdv/yrz/aGziHlzI8JGINRbPcApKudE5Z91d4bnhzyPj8Z8hP0P78euB3ZhapepZVYHU/0iKudi02NlFVvJtpYliXDO+jVbhGTdmnfDpzd/CgB4b/d7OJpwVG6Tb8zHkYQjACArLnfHFbe2FO217b0XEK9b3Zp3AwBZOWc961XMsBvQagAURYGn3hNuOjcAnDtX26zbWuYb83Ho2iH5vTgRp7yTkwg2J2ZPipgkT6ZLy+dxQaD4eWBYm2Ho1aIXooKi0N6/PQpMBVh1apXsZmGvrSVQfBI1YH/eHABoFI18P8nWlkTUENTrcA4ARo4ciYEDB5a6fvr06Wjbti0A4JtvvqnUvsX21vuw9uSTT8JgMMBkMmHpUtszIHNycuRMuccffxy+vr6lbv/CCy8AADIzM7Fy5cpKrY0aBuszvkuGc7lFudh4Tj27jC0tG6Zmns3kh9mXtr2E7MJstPZujcf7PI6WXi2RU5TjsJVXoalQfpgRZ3YBahs60ers6Q1Pw2wxY+WplQDUg9sM4yquW/Nu8Hb1rtJt2daSGgvR2lLMnRMH1boGdZXbtPNrh87NOsNkMWHDuQ3YHrsdVzKvwMfVBzqNDufTzuNi2kWcSz2HInMRPPWeCPUJlZVzRxOPOjzQLMK54W2GAyh+bFkfkLNYLDiXeg574vZg7Zm1+OXkL8gprF9nvouDAAYXA/q1VH9u6wOFwqrTq2CymNAjuEeFKuLv7XYv3HXuOJ50XJ6166hyDig+gCoqH6xblob6hMqQS1T5iZlz4iBFZkFmrR74+eXkL8gqzEI7v3YYEjoEw9sMR4B7AJJzk/HHpT9KbV9eOHcm1fbkN1GlyXCOaoIIKwBAgYKBrUt/lrTW1rctmnk0U2cfJhzGt8e+RUpeCsJ8w+R7txva3gDANpwTlXm3dboNrb1bIy4zDv+37/9q+KepvN9i1TXeEHYDQrxDABSHc2J2l2gxC6jV2E8PeLpKHQmo7jXzaAY/Nz9YYMHZ1LPIN+bLVscOK+eCSlfOifcRUUFRuLXTrbg98naYLCY8t+U5uc3ha4dRZC5Cc8/muDPqTgDFc+fyivKw7uw6AGrQU2AskLcrMBbI1wVRESPDOavKOXGC48BW6mNWURT5t8q5c7XLuq0lUDzeITUvVc6bE50SyDFROadAwS0Rt8hwjpVzqpKVcYqiyG4M//3zv7DAAjedm2xpW5L1WBJ7LS0FOXcunuEcEdV/9TKcy83Nxa5duwAA48aNs7uNoigYO1YdRrtp0ya729hz+vRpXL58ucx9GwwGDB061O6+d+7ciby8vDJvHxYWhsjIyEqvjRoO67YhYiaMsPPyTuQZ89DGpw26N+/u5JVRTREHPEUbrymdp0Cr0WJChwkAbGc4WTuWeAz5xnz4ufmhg38Hm+veGvUWDC4G/Bn/J5YeWypbpN3WiSGus7QwtEC4XzgMLga09S19cgZRQyEq1URby+NJarVX1+Zdbbazbm35zVH15KRpXabJD61bL26VB+c6N+sMjaJBqE8omnk0g9FstDljXjBbzPKgzfAwx+HcU+ufQof/dsCgxYMw4fsJuP2n2/HGH2/UwE9v68T1E7j9x9tx6w+34s7ld+Kh1Q/Jua/lsQ6R7B0oFMQsDHEAoTx+7n6YFjUNAOR8J0cz54DiMEHM/xGha7AhGO5691JtLS9nqu9lIwIjZFVdbba2/Pro1wCA+7rdB42igV6rx6ROkwDYb21ZbjhndZJTWl6a/F4Ew0TVIdr8AWoAIA6OOqIoinxO3BO3Bx/t/QgA8FS/p6DVaAGoBwQ1igZnU8/KcFyEc+M7jMe/b/g3ALUdZl2298035stWm6PajUKI11/hXIm2lpxr3HgoilI8dy75NM6knIHZYoavm698fSjJunJOVF2LE1PEa+G7N74LANh8frP8m5et+1sNwOBQtSJ1d9xuWCwWbLmwxab1pOgyY/21u84dAe4B6hr+CgivZF6RwYV15ZxgPXeOKu56znWk5VX8pB1ROdczuCcAYGec+jyy4uQKFJmL0DWoq/w/I8eGthkKD70H7uh8B4I8g+Dn7geA4ZwgwjnryjjRkUJ0UWjl3cphi/OBrQZCo6iHsSsUzrFyjogagHoZzp08eRJmszpQOyoqyuF24rqEhASkpqZWaN/R0cUHXCqy7xMnbFsyVPb2MTExDrehhkv08QdKV86J4K5Xi16cm9KADW0z1OZ7cZBVtIn79cyvdluIiQPC/Vv1L/X/H2wIxktDXwIA/GPzP+RMO1ZYOo+iKNj30D6ceuIUvFy96no5RFUm5h+JEEeEc+KgmiCes9afXS8Dpvu634cb26rtwrdc2CIDIXHQRVGUMufOHU88jrT8NBhcDOjVopd62xLza7IKsrD4yGIAapAozpAV66xJH+z+AL+c+gWrT6/GD9E/YNHhRZi2bJrNvBRHRCVac8/mMtg8ef2kzQD5jPwM2QK0vJaW1h7rXTxzR6tobSpVShIHEX6M+RFGs9GmpSVQPCNTVPqJA6WtvVujrZ96ooGolKhpcRlxsk3efd3vk5ff0fkOAOqBO5PZZHObioRz4jVU/I2192+PAI+AWvgJqKlp59cOWkUN1cqbNyeIx+CHez/EyeST8HLxwoO9HpTX+7j5yMqybbHbkFWQJf92R7UbhXu63YPuzbsjoyADs9bNsnkOcaY9cXuQb8xHC0MLRAZGVqhyjho+67lz1i0tHX0Wbe/fHnqN3mbGk3XlHACE+4djWJthsMCCb4+p82qtW/f3DO4JV60rknOTcS71nBzrIIj9Wn8d6hMq1+Tr5ivnccUkqaME4jLjoFE06BvSV95WBMlsa1lxaXlpiPw0EgMXDSz1+uyIeN0Wr+27Lu+C2WLGd8e/AwDc1fWu2llsIxPqE4qkZ5Ow9Ha1A1dNVs7FJMVgwncTHM77bQjszZTr07KPfC4oeV1JXq5eeGnoS5jSeUqZ4Zz4HHMu9RyyCrKquWoiotpVL8O5q1evyq9DQkIcbmd9nfVtanLfmZmZyM7OLnV7Pz8/uLu7l3v7iq6rLElJSYiJianUv3PnzlX7fskxm8q59FibkOZcqvq7L1k1RQ2LdcuENj5t5AymUW1HwV3njrjMONmq7HLGZby76130/KInnt38LABgQMiA0jsFMHvAbIT7hSMxJxFmixm9WvSSB1/JOQI8AuTBKqKGSlbOZVxCWl6aPCu9ZDjXP6Q/Aj0CkVGQgezCbLTza4dBrQfhxnZqOLf14lZ5trwI2ADI57w/r5YO57bFbgOgznESc4lKVs4tO7EMuUW5iAiIwMWnL+LLCV8CsD1YV1MOXjsIQK1y+WjMR2ju2RyJOYlYdWpVubcVYVdzQ3OE+oTC4GJAkbkIZ1OLZ6KtPbsWhaZCRAREOJzfY0+/kH7oEdwDgBpSiQoce6Z0noIA9wBcyriEVadWyXBO/D+LkCunKMfmYGqoT6isAq5u5VxcRhx+OflLqRNPfjn1CyywYEjoEBkEAurroZ+bHxJzEmWljiAO8pWcsxfuFw4FCtLz02UVhDhTmlVzVFNctC5o798eQPnz5gQRzsVlqsH3gz0fLNVC+4aw4taWf1z6A0azEe382iHMNwwaRYOPxn4EjaLBTzE/YezSsZWqWqkJJrNJnhRxQ9sboCiKrJxLyklCoamwuHKO4Vyj0ilArZw7lXJKnkRa1uuVXquXgV7M9RjkFObgQtoFALbvBWb2mAlA7SRisVhkFUr/kP5w1bnKwPqPS39g9enVAAAfVx8AxScPAfYPyAO2rS3Fa0HXoK42c6TY1rLydsftRkpeCk6nnJa/1/Jcy1Ir527ucDPcde5IyUvBtovb5CgHtrSsOE8XT+i1egA1F85tubAFgxYPwtqza/HvP/5dzRXWHXvPBRpFY9NJyNG8OeG1ka/hpyk/wUXr4nAbf3d/WaV7Pu18dZZMRFTr6mU4l5VVfGaDh4eHw+2sr7O+TW3uW3xd1m2tr6/ousry2WefISoqqlL/Jk2aVO37Jcesw7l8Y7488x6APKDXIYDhXEMW6hMq3zRO7TJVnuXprneXB7Vf/O1FDFk8BG0+aoN/bvknjiQcgU6jw4SOE/Bw74ft7tdV54oPRn8gv2dLSyKqCjlzLv2SrFZr7d26VPs2rUaL8R3Gy+/v63afrIwzuBiQnJssZ8RYH5BzVDlntpjx+YHPAQDj2he39xZzba5lX0NaXppsgzij+wwoioLWPuoHbVHxVVPyjfny558zaA6eHvA0Hu6lPv/OPzC/3NtbV85pFI38HVi3thQVh5MjJ1eqIl5RFFk9V95JGO56dzzWR932430fl6qcM7gY4KFX31vGJMUgz6i2WG/l3ao4nKtm5dysdbNw+0+3Y+lx23nLYj5qyZaeeq0eY9qPAaAeCLTmqHLOXe8uX1tFK0tx4JDz5qgmfTD6A/yt798wpcuUCm3ft2VfKFAf3xpFg6f6P1VqG+u5c6Kl5ai2o+T1I8JGYPX01TC4GPDbxd8waPEgGXjUtpTcFIxbOg7/O/Y/AMUH0gM9AuUBzGtZ12TAwbm7jYt1W0sZzjmYNyfIivekGHliTXPP5jYtT+/ofAc89Z44m3oWy08ux+WMy9AoGhnKDWo9CADwwZ4PkJKXggD3ANny2FHlnDUxJzc6KVq2tBTz5gQZztWDyrkjCUfw1PqnaqV17YGrB/Dyby87nPVbGdaBnKNRDNYKjAVybm2oT6icm/7MxmdggQUDWw3kyaRVZB3OmS3mKu1j8eHFGLd0HDILMgGogbr1TMeGosBYIN93l3wumBxZ3JmivHCuosL91fl/51MZzhFR/VYvwzmi+sxoNsoAzlXrCsC2teXZFPU6ccYuNVx/H/B3dG7WGY/3edzm8ls6qm3i1p1dh11xu6BAwYiwEfh8/Oe4Nucafr3zV7T0aulwvxMjJuKOznfAx9UH93S7p1Z/BiJqnERF1bXsazh4Va0cKzlvTpgYMVF+LZ5z9Fq9bAeTW5QLADazRPq36g+9Ro8zKWew+fxmefmaM2twOuU0fFx98EDPB+Tl3q7e8sP02rNr8celP6BAwb3d7wVQ/EE7oyBDHlyoCccTj8NoNiLQI1Dex8O9H4ZG0WBb7Dabk2nskZVzf83lEQcKjyeq7TdzCnOw/ux6AJVraSk82OtBzBs9Dx+P/bjcbWf1nQWdRocdl3dg7dm1AGxDPRF07b+6X67ZVedaY20tRXvTRYcXyctSclPwx6U/AAC3drq11G3a+6nvdUS1keAonAOKW1suOboEVzKvYN8VhnNU88Z3HI//3vzfMs+st+bl6iWreG7rdJtNlagwOHQw9Bo94jLjZIhtHc6J+905cydaebfCqeRTGPO/MVU+IFtRRxOOos+CPth8YTM89B74fvL3mNBRnZGsKIp8TxqfFV/c1pIz5xoVEc6dSj4ln8vLq/S2bkddsqWlYHAxyDaHf9/4d7mNaA0vwjkRCE6MmIhwP/WAuJiJC5RfOXc86bhNy0xrsq1lPaice3PHm/jvn//FK9teqfF9P7vpWfx7x79lBWJ1WM/Z+vVM+eGceM120brAz80PQ1qr7YBFK3K2tKw6Ec5ZYKlSe8UvDnyBB1c/CKPZiLu63gU/Nz8YzUabGc8Nhejy4aH3gL+7v811Q0KHyCBenNBXXeK5yFknyRARVVW9DOe8vIrnAOXm5jrczvo669vU5r7F12Xd1vr6iq6LGo7Y9FgUmgrhpnOT/fBFOFdkKpJfs61lw/f0gKcRMyum1AGaOzrfgT4t+6BfSD/MGz0Pcc/EYduMbXi0z6NyaHlZFEXBj3f8iJTnUngWIhFVSaBHINx1anvtdefUyreoZvZn4Y5rPw5j24/F0/2flmeRApBz5wDAy8XL5kxVf3d/zOo7C4A6I1PMLHl317sAgMf7PF5qbqNobSkOWt3Y7kY5Q8LL1UseoKjJ6jnR0tJ6zmuoT6isFhRVfo4k5NiGSLLF1l+tPjec24A8Yx7CfMPQM7hnpden0+jwzMBn0Ltl73K3benVElM6q1U+4kBCWeGcOHhRE20tzRazPGiyPXa7fC+z9uxamCwmdGveDe382pW6nTjQal0hkW/Ml2fg2wvnxJzCBYcWoPWHrZGSlwIXrYtsAUpUV2b1nYVwv3C8OvxVu9d76D0wsLVa1ZOUkwQAGNl2ZKntugd3x76H9kGraHEu9Zw88F1b7l5xN2LTYxHuF449D+4p1X5OtLaMz4yX62Zby8alnV876DQ65BTlyGry8irnxGt2WeEcANzf434AxSdhWLfuL1nldlun24pfFzKtKucyyw7njiUew4GrB9R9trbdp/hsJVoh27Pp/Ca8u+tdu/PAa5J4nVxydEmNzBCzdjrlNADbULMqzBazTdeDmOsx5b4/uJattrQMNgRDURSbWZ0aRSPfm1Dluenc4KZzA1D51pZZBVl48bcXAQDPDXoO/7vtf/K90uGEwzW5TKewN3tS0Gq0eHX4q4gKipInl1SXCOfY1pKI6rt6Gc61bFlccRIfH+9wO+vrrG9Tk/v29vaGwVDc81zcPi0tDXl5eeXevqLrKsusWbMQHR1dqX8rV66s9v2SfeIs/IiACHmgSrzhjU2PhcligrvOvczKKWrY/Nz9sP/h/dj30D48M/CZKs0v0yiaMucPERGVRVEU2dpSzANxVDnnrnfH+rvX46OxH9lcLlr0AupBupIflF8e9jJ8XH1wNPEo/nfsf9gdtxu74nbBRetit+WbONAnKrhmdJ9hc70I/0pWWVXHoWuHAAC9gnvZXC4qnpccXSIrA+2xnjkHFB8oPHTtEOZsnIN7f1Er/27rdFulWlpW1dP9n7b53jqcE9V9++PVcE4c5BQnkMSmx1a5QicpJwlF5iL5/TdHvwGgzpsDHLdgthfOid+pi9alVJtVAJg7Yi7mj59vc/BPzC8iqkuP9XkM55465/C5FABGhhWHcV2DujpsD9nSq6U8OaG68yDLYjKbZNXSlvu2oFvzbqW2Ee9T47Pii2fOsXKuUdFr9fJANKAGAqLC3hFRLX/i+gkcS1LnaNsL54a1GWbzWmRd2dbc0Fx2i/HUe+Km8Jts2m4L4jWi5JoiAyOhQEFafhryjfnwd/cvdYJreTPnsgqycMdPd+CfW/6J3y7+VubPXF1iLltOUQ4WHVpUztYVl1uUK0P8q1lXq7Wv08mnkVGQAXedu3ydLa96ruSc2IGtB0KjqIcKR7UdJd8jUdVUde7cf//8L1LzUtExoCPeHPUmFEWRJ4odSThSs4t0AvE84Kht5RP9nsDxx4/X2HE02daS4RwR1XP1MpyLjIyERqMuLTo62uF24rrg4GD4+/s73M5aVFTxG86K7Ltz587Vun2XLl0cblNRQUFB6NKlS6X+tW/Ploq1RYRznQI7IcwnDEBx5Zxod9nev71TDuIREVHTJQ5yFZoKARS3ZKyozs06ywMx1vPmhACPAPxr6L8AAP/67V944483AAD3drsXLbxalNreeh9eLl64LdI20BFBTk1WzolwrmRl2pj2Y9DWty3S89PxY/SPMJqNOJV8ymaWHGA7cw4oDjgvZ1zGvL3zkGfMw4BWA/D8kOdrbM1l6d+qv82BT+sDmaIKTbwPCfVWf5+tvVtDo2hQYCqocoVOyf+TJUeXIKcwBxvPbQQAOUOoJHvhnHVLS3vvhdx0bnisz2PYMXMHLj59EQtuWYCvbv2qSusmcjYxdw4o3dKypJpqOVuW5NxkmC1mKFBkGFiSqJy7knlFVh+xcq7xEa0tAfUk0vJOAmzv3x4uWhfkFuVix6UdAOyHcxpFg/u73y+/L9l2UrS2HNdhHNx0bjavCxaLBRaLxWFbS3e9u80oiAGtBpR63ZBtLR3MnFt6fCmyCtV2gTsu7yjzZ64Oi8Vi8xr7yf5PZFeB6rJuuxef5fgE8ooQ8+b6tOyDSRGTAJQfzonQUbzP8Hb1Ru8W6vuqu7veXa31UNXCucyCTLy/+30AwCvDXoFOowOARlM55wyyco4z54ionquX4ZyHhwcGDx4MANiwYYPdbSwWCzZuVA8YjB49usL77tixI0JDQ8vcd05ODnbs2GF330OGDIG7u3uZt7906RJOnjxZ6bVRzVt8eDGeWPsEJnw3AV3nd0XIvBAsPba0Wvu0Cef+OoswNiMWAHAu9RwAoEMAW1oSEVHtsg5utIrW5sBcRSiKImdolmwjJTzZ/0m08WmD+Kx4bDinvu+ZM3CO3W1F5RwATO0yFR56D5vrxZmy1kFOdRSaCuU8FNEqUdAoGjza+1EAwNMbnobX216I/DQSXed3lQchLRZLqcq5IM8g+XvsH9If6+9ej90P7HZYHVMbRPVcS6+WcNe7y8tFgGiB2rZLtLXUa/XydysqdN78403cvPRmhwczSxLVjN2ad4OXixcupF3Aq9tfRZ4xD2182qB78+52byfWkFGQgYz8DABlz5srKcw3DA/1esim3SpRfdY/pL9sKTyqXTnhnIOWs0k5SXh126tltumrKHGCQTPPZvLgbUkinDuZfFJWyLJyrvGxfg9QkfcDOo0OEQERAIACUwEA29dxazN6zJDBW0RghM11zw16DhMjJuK1Ea8BAFp5t4ICBQWmAiTlJCE1L1VWsNsLkK0DQeuWmUJZlXMWiwWf7v9Ufr8rbpfjH7iaMgoy5O/J180XsemxFZrnVhHW4UF1K+fEvLn+If1xS4T6Hu/32N/LnPdbsnIOAL669SvMHz9fzg6mqhPhnGj5XREf7/0Yaflp6BTYyaZVcc8WauXc0YSjtT7PtKY5PZz7673l5YzLKDIVlbM1EVHdqZfhHADMmKG2Qtq2bRv27dtX6vqff/4ZFy6oZxjdd999Fd6voihy+x9++AGxsbGltvn000+RnZ0NrVaLu++2PVPI09MTkydPBgDMnz8fGRkZpW7/zjvvAFDnzU2aNKnCa6Oa993x7/DZgc+w9uxaRCdF42rWVczbO69a+7QO56xbSQHA2ZS/Kuf8WLlIRES1S7SOAoCOAR2r1Bbw/dHvY+W0lZjZY6bd6910bnhr1Fvy+4kREx3OsbE+qCdm1FgTQU5ZbS13x+3G/Svvl2dxlyUmKQaFpkL4uvnKg+DWZvacCQ+9B7IKs5BvzJeXb76wGQCQXZiNPKPaolwEXwCw+d7NOPDwAex5cA/Gth/r9Er4KZ2n4D+j/oMFtyywubxk2GV9cMO6Qmfn5Z14adtLWH9uPaYvnw6j2VjufYrKuYiACEztMhUAMG+P+n5pUqdJDn8HBhcD/N3V7hXi/7Uy4RxRQ+Oqc8XHYz/Go70fxZjwMWVuK8O5EpVz7+56F6//8Trmbp9b7fVU5PEm2lqKNmgGF4OcgUSNhwjaALVdZEWI1paAesKPt6u33e3CfMNw6JFD2DFzh2x3aL2PVdNXyfcALloXWV1/OeOyPCAfbAi2+z7FOpyzd6KQmDmXWZApOwUIOy/vRHRStFzT3it7K/SaVxXifYmPqw8e6/0YAODjfR+Xe7v1Z9dj8k+T5TEEe2qjcm5AqwHoGNARHQM6oshcJCvh7REz56y7InQJ6oLH+jxW6v+bKq+ylXPp+enymNWrw1+1qYKNCIiAq9YVWYVZNn83DYGj2ZO1JdgQDDedG0wWEy5lVG+WIxFRbaq3r7QzZsxA165dYbFYMHnyZGzduhUAYDab8fPPP+Phhx8GAIwbNw6jRtmetTh37lwoigJFUeyGb88++yyCg4ORm5uL8ePH4+DBgwCAwsJCzJ8/Hy+//DIA4JFHHkHHjh1L3f7111+Hp6cnrl27hltuuQVnz6qBTE5ODl5//XV8/vnnAICXXnoJfn5+NfMLoSqZHjUdLw55EV9M+ALLpiwDoLbAqmrbJ4vFIuc62FTO/TXn5VwaK+eIiMg5rCvnypqRVBYvVy/c2unWMttfTY+ajsGtB0On0eHFIS863M7HzQfv3vguXhjyAga3HlzqetnW0kE4l5aXhsk/TcaSo0vwwtYXyl27nDfXopfd8CjIMwh7HtyDFVNX4OyTZ/Hfcf8FABy4egBA8UFtg4sBni6e8natvFuhd8veddaeWqvR4p9D/ombO9xsc3nJg+/WMztECHA25SweX/u4vPy3i7/hxa2O/88E67OZRbAqKvQctbQUSra2lGGBJ8M5apwe7v0wPp/wOfRafZnbOWprKSp+xbzQ6hCPN+sTDEoSlXOiIoctLRsn62o5RyfRlGTdjtpeS0trkc0iK3xQXbw/uZRxqdxqGXG/ChT0C+lX6no/dz9oFfU9SslqU1E1d3/3++Hj6oPswmwcSzxWoTVWlnUQPqvvLGgVLbbHbi/z/ladWoWJP0zEipMr8ODqB2GxWOxuZz0T62rWVYfblSenMEeup3+r/gAgOySUVeUnwjmeVFM7/NzUY4IVDec+3vsx0vPT0blZZ0zpPMXmOr1WL9/zN7S5c+JEMGeFcxpFg3Z+7QCwtSUR1W/1NpzT6XRYvXo1wsLCEB8fjxtvvBGenp7w9PTE1KlTkZmZiZ49e2Lp0sq3KPTx8cGaNWsQEBCAEydOoE+fPvD29obBYMCsWbNQWFiI0aNH48MPP7R7+7Zt2+Knn36Ch4cHduzYgY4dO8LX1xc+Pj549dVXYbFYMHPmTPzjH/+o7q+BqumhXg/hzVFv4pHej2By58myd/qm85uqtL/k3GSk5qUCUKsUWnm3glbRotBUiITsBFk5V3KQNRERUU0TJ4gAlZ83VxkaRYON92zE+afOy4M9jvxj8D/w1qi37AZb5bW1fHbTs/Lg1/+O/a/cD9IHr6knV/UK7uVwm27Nu+G2yNvQ3r+9POh34OoBtaVliXlz9Z1ovSnYVM79Fc59tO8jRCdFI8A9AJ+PV08We2/3e/g55mcAgMlswtWsq6VaIYnAtLV3awxuPVjO6fB398eQ0CFlrstROGdvLiFRU+KoraWooIm5HlPt1paiNW9FKucEZ7bpJeexbjdZ4cq5SoRzlWH9ulBeODc0dCi8Xb0xpv0Yu5V7GkWDAI8AALZz5xKyE7D85HIAagtuUXW363LttLa0ri5r7dMat0feDgD48uCXdrdfc2YNpvw8RVby7Y7bjRUnV9jd1roCqtBUiJS8lCqt8eC1gzBbzAjxCpEtREU4t+7sOocz8uy1taSaU5nKOYvFggWH1M4Jrwx7xe7Jcz2a9wAAHL7WcObOlTV7sjbJuXNpDOeIqP6qt+EcAISFheHYsWN45ZVXEBUVBUVRoNfr0bt3b7z//vvYu3dvlSvTevfujZiYGDzzzDPo0KEDioqK4OnpiSFDhmDBggVYv349XF0dt4e6+eabcezYMTz88MMICwtDfn4+/Pz8cNNNN2HZsmVYvHhxnZ1xTY6NbT8WAOTcHHuScpLwxYEvUGAsKHWd+DDdxqcNPPQe0Gl08o3v2ZSzsr2l9WBrIiKi2mDd1rImD6rZ4+niWe0P06Kt5ZXMK6XOCt96YSsWH1kMBQo6N+sMk8WEt3a8ZW83kqic692yd4Xuv1vzbtBpdLieex1xmXGl5s3Vd9YH3/Uavc26RYWOmCnz3k3v4dE+j+Ifg9QTxe5fdT8iP42Ex1seCJkXghkrZ9jsW4ZzPq2hKAoe6vUQAOCOyDsczrESSoauCTlsa0kEFD8ur2RekQfoc4tybU5Q+OPSH9W6j4q0tWzp1dLme86ba5z83f1xZ9SdGNV2VMUr54JqJ5yTlXPpVpVz3vbfQ7TwaoG4Z+Lwy7RfHO7P3ty5hYcWwmg2YlDrQegR3ENW7NfW3LmSjzVRVS4qYa1tPr8Zk3+ajCJzEaZ0niK7Dvxzyz9LteYESgcHVZ07J+fNWZ1INTh0MPzc/JCSl4Lvo7+3ezvRspOv27WjMuHclcwriM+Kh06jkzMDSxJz544kHqmhFda+tPw05BTlALA/e7K2yHCOlXNEVI/V63AOUOe2vfbaazh+/Diys7ORmZmJAwcOYM6cOXBxcbF7m7lz58JiscBisSAsLMzhvps3b4558+bhzJkzyMvLQ1paGnbs2IGHHnoIGk35v5rw8HB8+eWXuHjxIvLz83H9+nVs2rRJzqSj+keEcxvPb3R45thLv72Ex9Y+hk/+/KTUddbz5gRRubA9djtMFhM89B6lPgQTERHVtBaGFvDQewAAegT3qNvFVECIVwgUKMg35ttUi+QW5eKRNY8AAGb1nYVFExcBAL459k2pihPBaDbiaOJRAGpby4pw07nJg48Hrx5seJVzVuts5d3KZg6M9cy9IaFDMKOHGr69NeotjAwbidyiXJxKPiUPCpY8SUm0GhJB2z8G/QMrp63E+6PfL3ddDtta8iAfNXHBhmC4al1hspjkY+xMyhmbbaodzuWU39bSTeeGAPcA+T3bWjZe303+Dlvu21LuSRVCuF843HXuAGq2Al++LmRertCcKW9X7zLnIIq5c+K9g8lswhcHvwAAzOozCwBkOLfz8s5Kt4Xcd2Uf2v9fe/xy0nFAWLK6TLzuipNzrf19099RaCrE7ZG3Y+ntS/HC0BcQbAjG+bTz+Gz/ZzbbmswmuQ/R/rCq4ZycNxcyQF6m0+jw7KBnAQBzNs2RXYAEs8Us3w+x4r12iHAuLT+t3G33XNkDAOjevLt8j1+SeM/fkCrnxHvEIM8gp848Dfdn5RwR1X/1PpwjqkkDWg2Aj6sPUvNS5cyZkv6M/xOA/bPuRDhn3SpEnBW7+cJmAGrVHKsmiYiotmk1Wnw/+XssmrjIpsVlfeWqc5XVXtaVI69uexUX0i6gtXdrvD3qbQxoNQCjw0fDaDbiPzv/Y3dfJ6+fRL4xH14uXpWqVu/Tog8AtbVlRWY11SfuenfZ8ktUIQodAzpCq2ihVbT47ObPZHCn0+iwavoqfDPpG2y6ZxNOPnESChQk5ybL9mBGs1G26xL71Wq0uLXTrfBy9Sp3XQzniOzTKBr53Czmzp1OPg1Ana8FAL9f+r1a91GRtpaAbWtLhnMkaDVafHrzp3hxyIvo1rxbje1XVPbbVM5Vo/peVHuK161jicdwJfMKvF29cUfnOwAA/UL6QafRIT4r3mH7bEdWnFyB82nn8dOJnxxuU3Ium3hsX8m8giJTkdzOZDbJx/m80fOg1+phcDHgjZFvAABe//11pOUVhzTxWfEoNBVCr9Gjb0hf9bLM+EqtX7BXOQcAzw56Fp2bdUZSThL+ufmfNtel5KbIyl62vK0dlamcE/+HA1oNcLhNt+bdoEDBtexr8jWgLIWmwlLtzJ2tLlpaAmxrSUQNA8M5alJ0Gh1uCr8JgP3WlkWmIpxMPgkAdsO7Uyl2Kud8wgAUv5FiS0siInKWiRET8UDPB+p6GRUmKrNEG0Wj2YjPD6qz0T69+VMZBr0y7BUAwFdHvrJ7kE20tOzZoqdNBVl5RAvMA9cOVPigdn0i1lry4EYzz2ZYfedqbLlvC7o2t61+8HL1wr3d78VN4TehU2AneVJRzPUYAJAz6PQafZUOzFmHcxaLheEckRXxeBNVwOJEP9HN42jC0QodsHWkoo+3EC+rcI5tLcnKzJ4z8eaoN2v05NLKzJyriJJtLcXn9L4t+8JVp44i8XTxRM9gtd1fZVtbivC8rKCj5GMt2BAMN50bzBazfE8D/BXWmYug1+ht2vfN7DETUUFRSMtPw9s735aXi3Z7Yb5h8j1SVSrnrmRewdWsq9AqWvRuYdvu20Xrgi8mqJWGCw8vxI5LO0r9XIEegXDR2u9MRdUjKiJrKpwzuBjQIaADAMguEo5cy7qGoPeCMP678Q47RzlDnYVzf1XOXUi7UOmKWiIiZ2E4R03O2HD1w/D6c+tLXXc29axs+RSXGYeknCSb68tqa2myqG92Ovh3qPE1ExERNQbiQ7lo8XY04SiyC7Ph4+qD8R3Hy+0Ghw7GDW1vQJG5yG71nAjnegVXrKWl0KdlceWcbGvZQGbOAcVVfvZm99zc4WaMCBtR7j46N+sMADhx/QSA4v+Lkq0yK0r8n17JvILUvFTkG/Nt1krUlImT+GTlXIpaUTMibAQ6BnSEBRbsvLyzyvuXFcDlPI/ZhHOsnKNaJmbOpeSlyKCpRsK5vyrn9l/dD0AN56zJuXOXKxfOibaS4vFkT8m2loqiyJ/TurWlqNBp69cWWo1WXq7VaGX13HfHv5NBwYW0CwDUEEE8TuOzKlc5t+/KPjy65lEAalWVp4tnqW2GhA7Bw70eBgA8uuZRecyjZEUg1Tx7lXO5Rbl4d9e7NlWSBcYCHLx2EAAwsNXAMvcpgujyWlvuuLwDGQUZ2HBuA97Z9U4VVl8zyps9WVvCfMOgUTTILcqV7/uJiOobhnPU5IxpPwaA2r4yJTfF5rrjibYDnQ9ePSi/zivKk2e92gvnBIZzRERE9pWsnBMHpQeHDi4VDInquUWHF+FK5hWb6/bGq2cWi0q4iuoa1BV6jR6peamyjXVDCpE6BnQEUBywVUXnwBLh3F//FyVbZVZUC0MLaBUtTBYTDieoB4l8XH3grnev8hqJGgtZOZduWzkXERCBYaHDAAC/x1attWWRqQgpeepnmUq1tWTlHNUyHzcf2YYZUOceirlxVSHbWuaWCOdCSoRzoX/NnYurXOAtwrWyDt5fyyodYsm2tVbzcUXY1s6vXal9jAkfAxetC+Kz4uX8SRHmtfNtJ+fWV7RybtflXRj21TAMWDQA686uA6DO7nXkPzf+B0GeQTiZfBJfHPjC5ucSoSPVPHvh3MJDC/HPLf/EQ78+JC87knAEhaZCBHoE2v37sSbCuSOJR8rcznrO6avbX3U42qW2Vfe9ZlW5aF3kZw9RpWrNYrHgp5ifGtT8PiJqfBjOUZPTyrsVugZ1hQUWOSdOOJ5kG85Zv3nZc2UPLLCguWdzm7ZPJcM5trUkIiKyT3woF2fQigNo4mx3a8PDhmN4m+EoNBXi3V3vyss3nNuAP+P/hE6jw7A2wyp1/646VzlXR5wt3pAq5/5z43+wbMoyTO0ytcr76BLUBUBxW0tROScOXlSWVqOVrbtE4Mkz8IlUbX2L21paLBZ5oLRTYCcMDxsOAPjj8h9V2rfo8KFVtPB39y9zW1bOkbOJqjJArZqrTttMEewl5yYjryhPnlDrqHLueOJxZORnVGjfOYU5MvRLzUuVFWXWCk2FMghv4VUcYonjADaVc38FAGLWlTV3vTsGtR4EAPjt4m8ASlTOeVescq7AWIDnNj+HoV8NxY7LO6DX6DGzx0wcf/w4Hur1kMPb+bv746WhLwEAvj32LQDOiXUGEc5ZzxoUJ0htOr9JBqTWLS3Le7z0CO4BoPzKOVGtbXAxwGg24u4VdyOnMKfcNf8e+7tNsFddddXWEihubWlv7tzOyzsxbdk09FnQB89veR4FxgJnL4+IiOEcNU1izkPJ1pYinBMB24FrxeHcpvObAACjw0fbvFkK8Q6BTqOT34v+30RERGRLtrXMjIPFUtzObUjoELvbvzJcrZ778uCXuJp1FUWmIjyz8RkAwJP9nqzSh/ySs1gaUuVcoEcgJneeDL1WX+V9lGprmVm9cA4o/n9lOEdky7pyLj4rHjlFOdBpdGjn1w7D26jh3MGrB5FVkFXpfVu35i2vJa115VxVZksSVZb163N1D8hbz5w7mngUJosJQZ5BNjPdADU4a+fXDhZYZNBRHutgDUCpsRZA8Sw6nUZnE4SL8D02o3gfF9L/CtvshHMAMKrtKADA1otbAVhVzvlVrHIuOikafRb0wXu734MFFszsMROxs2Ox+NbFiAqKcng7YVrUNGgVLfZf3Y+zKWfliUqsnKs9IpzLKsyC0WwEUBzKmi1mfHf8OwDqyeAAMCDE8bw5oWcLtXLuTMoZ2e7VHhGwfTjmQ4R4heBMyhnM2TSnzH2fSz2HG765ATcsuUGut7rqNJz767For3JOnKxvtpjxzq530PvL3rJ1PhGRszCcoyZJhHMbz22E2WKWl4uz8O7vfj8A28q5jec3AlDbUVjTaXTygJaH3oNvbImIiByQbS0z4nAh7QISshOg1+hLnf0ujAwbicGtB6PAVID3dr2H+Qfm41TyKQR6BMrgrrLE3DmhIVXO1QTRmjspJwnJuckynKvOAROGc0T2iYP3CdkJssKhnV876LV6tPZpjTDfMJgsJuyO213pfVem4sWmco5tLckJbCrnqjlnSra1zLmO/fHF8+bsVReJk31EZVp5SoZz9ubOydmOnrZBeFmVc47aEopwblvsNpgt5uLKOb9wGc4lZifaDUUsFgtu+/E2RCdFo5lHM6ycthKLb10sb1cRQZ5BGNVOXcMP0T+wcs4JRDgHAJkFmQBsq7i+OfYNgOLKuYGty543B6j/j71a9IIFFqw4ucLuNhaLBaeT1cq5Aa0GYMmkJQCALw5+UWagdyzxGMwWM+Kz4rH1wtZy11KeIlNRjcyerCoZztmpnPv9ktpW+u6udyPIMwgx12Mw7KthuJR+yalrJKKmjeEcNUlDQofAU++JxJxEHEk4AgDIKsiS8yDu7X4vNIoGV7Ou4lrWNSRmF293U/hNpfYn3pi3929frZYdREREjZloaxmfFY/tsdsBqGGZo/lkiqLIEO7zg5/j1e2vAgD+PfLfNgc7KsM6nPPUe8LgYqjSfhoqg4tBHjQ9cf2EPJu5OnNAxMEWnoFPZMvf3R9eLl4AirtwWM+uFtVzf1yqfGtL68CgPO3928PXzRcd/DvAQ+9R6fsiqqzaqJxLyUvBvvh9AEq3tBRubn8zAGDFqRWwWCzl7rsy4Zx1S0ug7JlzopVeSX1D+sLLxQupeanYHrsdqXmpANQwL8gzCFpFCwssDtdxLvUcNIoGxx4/hls73Vruz2fPXVF3AQC+j/6++HXbi6/btUWv1cNT7wlAnTtnNBtl+KNRNDiWeAwbzm3ApYxLUKA4/NsuaVqXaQCAH2N+tHv99dzryCjIgAIF7f3bY1S7UfKxeDb1rMP9nk0pvu676O8qtJayXM26CrPFDBetS51UbougvGQ4l2/Mx74r6vPJK8NfQcysGPQP6Y+cohz8c8s/nb5OImq6GM5Rk+SidZFnjG04twFA8eyVFoYWCPUJRWRgJADg4LWD8sN0rxa97L6hEG/MO/izpSUREZEjwYZg6DV6mC1m/HziZwCOW1oKN7W7Cf1D+iPfmI/0/HR0a96tzJkq5ekS1AWuWlcATa9qThBz505cP1HtmXNA6QOvPAOfSKUoimxtueG8+pkjIiBCXi/mZv584mek56dXat+i1V5FHm+eLp4487cz2P/w/krdB1FVtfG1nTlXHQEeAQDU1nOiDV3fEPsBxviO4+Gmc8O51HM4lnis3H2Lk3MF8biyJgKsko818di+mnUVBcYCpOWlIS1fnSsmqmZL0ml0ct7kgkMLAKgBu6eLJzSKRoZk9lpbHk08CgDoGNCxWq+zt0XeBletK04mn5SViDyppnaJE8rS89MRlxEHk8UEV60rJnWaBACYvWE2ACAqKAperl4V2qeYP7w9drucW2dNVM2F+YbBTecGoDioEiGyPedSz8mvV5xcgdyi3AqtxxF5Eph363JbMNcGOXOuRFvLfVf2ocBUgGBDMDr4d0CgRyA+n/A5FCj4MeZH2XqfiKi2MZyjJmtsuNraUoRz4s171+ZdARSfWX/g6gFsuqCGcyVbWgoDW6mtB8QQaiIiIipNo2jk7KMtF7YAKD+cUxQFrw5/VX7/0ZiPoNVoq7wGF60LujXvBqBhzZurSZ0D1blzh64dwvVctbVRTVTOCQzniIqJg/TigKd15dzEiIkI8gzC2dSzuHnpzcguzK7wfivbjq6ZZzP4uPlUeP9E1VGTlXMuWhf4uKp/u2ImXMkW1YLBxYBx7ccBAJadWFbuvkXlnAK1+02ZlXMlAqxmHs3grnOHBRbEZcbJwCPYEAxPF0+H9ylaW4p2hNZVdqIFbXxmfKnbHU1Qw7nuzbuX+3OVxdvVG+M7jgcA5Bnz5Jqp9ohwLi0vTVZwtfVrK8epnE5RgzRxXKkiwnzDMKDVAFhgsfu3LvbZMaCjvEy0eCwznEsrDueyC7Ox5syaCq/JHjnbuBrvM6tD/MzXc6/bzHcVLS2Htxkuu1/1CO4hTwCcvWG2zQgcIqLawnCOmiwxd2533G6k56fLeXNdg2zDuT/j/5SVc47CuYd6PYTzT53H7AGza3nVREREDZuo0DJZTACAQa0HlXubse3H4o2Rb+CjMR9hZNuR1V6DeI1vqgejOjdTwznx/sZD7wE/N78q74/hHJFjJStorCvnAj0CsfnezfBz88OeK3tw6w+3It+YX6H9JuRUvK0lkbPZzJyrgTlT1rMSQ31Cy2yPd0fnOwCoFanltbYU4ZyoKE/MsVM5l2W/ck5RFJvWliJ0cTRvThDhXKGpEEBxeABAzo8rq3KuuuEcANwZdafN92xrWbusK+es5wyObT8WgR6BcrsBrQZUar9ltbY8k3IGgO1rTmUq525oewMA4Lvj1WttKSrn6mLeHAD4uPkgwF2tvrWuChTt9UV7aeHfN/wb3q7eOHjtIJYcWWJ3n5/8+UmZv0MiospgOEdNVlu/togIiIDJYsLWC1txPMk2nOvdojcAYPOFzUjKSYLBxeBwOK+iKGjn147z5oiIiMph/eE8MjDS5qCEI4qi4KVhL+HpAU/XyBomR06Gq9YVN7UrPUe2KRDh3KUMdeZJa+/W1XoPw3COyDHR+k6wrpwDgG7Nu2HDPRtgcDHgt4u/YcJ3E3Dw6sFy91uZtpZEzhZsCEY7v3Zo6dXSpsVlVYm5c4DjeXPChI4T4KJ1wemU0zhx/USZ24q2lgNC1FDEbuVcjuMqVfH4jk2PtQldytIlqIvNz2Md5olwLj7LTuWcCOeCqx/Oje8wXs7DdNe5y6+pdvi5qydApeeny/aK7fzaQa/VyxmAQOXDuSmdp0CBgl1xu2SbcsFe5Vx54VxuUS6uZF4BANm1Yt3ZdXI2YmVZLBbZxr5TQKdytq49vVuqx/a+PfYtAKDAWIA9V/YAAEaEjbDZNsgzCC8PexkA8OJvL9pU2wFqx60n1z+JyE8jkZGfUcsrJ6KmgOEcNWmiem79ufXF4dxfbS27B3eHVtHCaDYCAEaGjYSL1qVuFkpERNRIWM82K6+lZW0Z1W4Usl/MxuN9H6+T+69rIpwTqttqyNvVW7YcAxgWEFmzrpwLcA+Q87Os9QvphzV3roGbzg1bL25FnwV9MGjRIPwU85PDyh8RIjTV2ZlUv2k1Whx77BhOPXGqRj5DW5/I46ilpeDt6i073ohgwJ7MgkwZOvRv1R+A/co5R20tASDMJwyAGs5Zhy5l0SgaWZUE2IZ5oq1lycq5fGO+nCFWE5Vz7np3Oe+shVcLnmRcy2wq59JtQ9wZPWYAUKugIwIj7N7ekRDvEAxtMxQA8FPMTzbXycq5wNKVc6LKsyQR2vm6+WJo6FB0a94NReYiLD+xvFLrElacXIFD1w7B4GKo1rzo6vr7gL8DAD4/8Dmu51zH/qv7kW/MR5BnUKkTZgDgyX5Por1/eyRkJ+DzA5/bXPfV4a8AALd0vIWtoomoRjCcoybNuh99al4qNIoGkYGRANQWT6K9BeC4pSURERFVnHUQVFfhHADoNLo6u++65uXqZROSWn9dVaJ6TqNoKlQNSdRUWFfO2TsIKAwPG469D+7FXV3vgl6jx54rezBt2TR8vO9ju9uLEIFhONVXni6e8HKtmYqsylTOAcWtLcuaO3cpXa0e93f3Rwf/DgDsV845amsJQLa1jM2ILRW6lEW0tgTsV86VDOdikmJgspgQ4B4gt6muB3s+CAUKerXoVSP7I8d8XX0B2La1FP/vvVr0wsZ7NmLDPRugUSp/iFa0tvwh5gd5mdFslGGxvZlzV7OuIq8or9S+RNvH9v7toSiKrOpbenyp3ftOyE5wOJfNZDbhpW0vAVDDMevWtM42Onw0+rTsgzxjHj7c+yF+j1XnzQ1rM8xuMO2qc8Xzg58HAHy6/1OYzGor/kJToay+e6DnA05aPRE1dgznqEkb1mYY3HRuyChQy9E7+HeAu95dXt+nRfFZeWPaM5wjIiKqLusWiHUZzjV11tVzNRnOBXkGQavRVnt/RI2FOHgP2M7+sad7cHcsvX0pLj9zGbP7zwYAPL/leUQnRdtsl2/MR3p+OgCGc9Q0WB/YFy3qyjIxYiL0Gj1irsfg5PWTdrcRLS3DfMNkBWrJcM5isRRXztmZy2Yzc+6vMCTcvwLhXLvicM56+xBvtXKuZFtL65aWNVXlNjxsOI4/fhwLb1lYI/sjx0TlXFp+mt0Ky9Hho9EjuEeV9n1H5zugUTQ4cPWA3HdseiyKzEVw17mjlXcrua2/uz+8Xb3lNiWJcE6E1Xd2VWcT/n7pd1xMu2iz7cZzG9Hyg5a45ftbUGQqKrWv/x37H04ln4K/uz/+PvDvVfrZaoqiKLJV5Sd/foLVZ1YDKD1vztpdXe+Cv7s/LmVcwq9nfgUA/Hr6V6TkpaClV0uMDh9d+wsnoiaB4Rw1ae56d5se06KlpSBaZrTza4f2/u2duTQiIqJGqXOzztAqWrT3b2/T7o2cyyacq2ZbS6A4nGNQQGTL4GKQ1aQVbVkWbAjGvDHzML7DeBSYCnD3irtRYCyQ14t5cy5aF5uWskSNlaic6xjQUQYdZfF188VN4epc2eUn7bfkE+FEW9+28rUrsyDTpqIoPT8dBSb1sdfcs3QLWVEZezb1LOIy1Zlf5bW1FNu8PuJ1vDbiNZvXTUeVc0cT/grnaqClpbUuQV3Yms8JxN/shbQL8sTwkvNIqyrIMwg3trsRAPDN0W8AQLZA7RDQwaYaT1GUMufOWVfOAep7OzGf+T87/yO3s1gs+Ndv/4IFFqw7uw6Pr33cpgVzgbEAr25XZ9Y9P/j5evE3NqHjBHRr3g1ZhVn4M/5PAGWHc+56dzzc62EAwH///C8AYPGRxQCAGd1nNOkOHERUsxjOUZM3Nnys/LpbUDeb6+7qehcmR07Geze95+xlERERNUrt/Nrh9/t/x/q713PGSR3q0qy4dXdNVs4xnCMqTYThlTmwrigKFk1chGYezXAs8Rhe3vayvM66pSWfR6kpENVyN7e/ucK3uSNSbW35ffT3dmc3inAuzDcMPq4+cjae9dw5UTXn4+pj02FHEJVzybnJMFvM8NB72A3x7Hl5+Mt4ZfgrNpeJcC49Px25Rbnyclk5V8PhHDmHn7sfAODgtYMA1PmFHnqPGtv/jO7q3LolR5fAbDHjdIoaztmr1i5r7tzZ1LMAYHNiuqg4++rIV7iccRkAsPH8Rhy8dhCuWldoFA0WHV6EN3e8CUANuF/d/iouZVxCC0MLPNHviZr6MatFo2jwr6H/kt/7u/vbjLGx5/E+j0OjaPDbxd+w+fxmbDi3AQAws8fMWl0rETUtDOeoyRvXYZz8umTlnI+bD5ZNXYbbI2939rKIiIgarcGhg1mRXsesK+esW41W1cSIiegU2An3dL2n2vsiamwW3LIAX936VaXbYDU3NMfCiWrLufd3vy/n5IjAgGE4NRUjwkbg2pxr+GDMBxW+zW2Rt8FN54YT10/gwNUDpa63bmupKIp8PInKVABltrQEgAD3AHjqPeX37fzaVSsw93H1kaGNqJ6zWCw2bS2p4RGVc0k5SQAq1vq0Mm7rdBt8XH1wKeMStl3chjMpZwDYzpsTxNy5ilTOAcDQNkNxQ9sbUGQuwts73obFYsEbf7wBAPhbv7/hv+PUqrKXt72Mm769CUHvBeGdXe+olw17uUZDyOqaHDlZBpbD2gwrd8ZfG982uDXiVgDAtGXTYLaYMTR0KDoEdKj1tRJR08Fwjpq8Dv4d0C+kH7xcvDCw1cC6Xg4RERFRrevcrDN0Gh30Gn2NtLXs3KwzTj5xEnd3u7sGVkfUuHQM6Ij7e9xfpYP2EyMm4qGeD8ECC17a9hKA4sCgohU6RI1BsCG43IPp1nzdfHFbp9sAqFU/JVm3tQSKH0/Wc+euZV+T922Poig27QlF8FFViqLI6rn4THXuXFxmHNLz06HT6BAZGFmt/VPdKNmKtSKtTyvDXe+O6VHTAah/6xWpnCsZzuUb8xGXobZmFTPnhFeHqy0qFx1ehG+OfoPdcbvhqnXFnIFzMKvvLDw36DkAwJYLW1BgKkCnwE74YPQHeLTPozX4U1afVqPF/437P7T3b48n+lasou+p/k8BUOcFAsADPR+otfURUdPEJrnU5CmKgs33bka+MR9BnkF1vRwiIiKiWufj5oPlU5fDYrHA4GKo6+UQURnmjpiLxUcWY+flnTidfFpW9rByjqhsM3vMxPfR3+P76O8xb8w8uOnc5HXWbS2B4seTvbaWLQz2K+fE7aOTogHUTOgS4hWCc6nnZOWcmDcXGRgJV51rtfdPzlcynKtuiGvPzB4z8cXBL7D85HJZzWmvcs5ROHcx7SIssMDb1VvOSRWGtRmGkWEjsS12Gx5YrYZTD/d6WFaUvn3j2/B180VWYRamdpmK7s2719uWy6PDR+Psk2crvP3wNsMRFRSF6KRoGFwMuKPzHbW4OiJqilg5RwTA29WbwRwRERE1KRMjJuLWTrfW9TKIqBwh3iG4uYM6a2vhoYWsnCOqoBva3oBQn1Ck56dj5amV8vL0/HSk56cDUFvXAcXhnHXlXEVayIb5hMmvayJ0kZVzWWrl3LHEYwDY0rIhq+3KOQDoF9IPnZt1Rr4xHyl5KQDKD+esZzFat7S0F6yJ6jmzxQy9Ro9/DP6HvE6jaPDC0Bfw1qi30CO4R70N5qpCURS8MOQFAMBDPR/iCW1EVOMUi73JuNTgxcTEICoqSn4fHR2NLl3KHnZKDUtSUhI+++wz+f2sWbMQFMSAkZouPiaIivHxQFSMjweiYnw8ENniY4KoGB8PRETOxXCukWI41/jx/5jIFh8TRMX4eCAqxscDUTE+Hohs8TFBVIyPByIi5+LMuUYqPDwc0dHRNt8TERERERERERERERFR3WI410i5ubnx7BYiIiIiIiIiIiIiIqJ6RlPXCyAiIiIiIiIiIiIiIiJqKhjOERERERERERERERERETkJwzkiIiIiIiIiIiIiIiIiJ2E4R0REREREREREREREROQkDOeIiIiIiIiIiIiIiIiInIThHBEREREREREREREREZGTMJwjIiIiIiIiIiIiIiIichKGc0REREREREREREREREROwnCOiIiIiIiIiIiIiIiIyEkYzhERERERERERERERERE5CcM5IiIiIiIiIiIiIiIiIifR1fUCiKhqmjVrhldffdXme6KmjI8JomJ8PBAV4+OBqBgfD0S2+JggKsbHAxGRcykWi8VS14sgIiIiIiIiIiIiIiIiagrY1pKIiIiIiIiIiIiIiIjISRjOERERERERERERERERETkJwzkiIiIiIiIiIiIiIiIiJ2E4R0REREREREREREREROQkDOeIiIiIiIiIiIiIiIiInIThHBEREREREREREREREZGTMJwjIiIiIiIiIiIiIiIichKGc0REREREREREREREREROwnCOiIiIiIiIiIiIiIiIyEkYzhERERERERERERERERE5CcM5IiIiIiIiIiIiIiIiIidhOEdERERERERERERERETkJAzniIiIiIiIiIiIiIiIiJyE4RwRERERERERERERERGRkzCcIyIiIiIiIiIiIiIiInIShnNERERERERERERERERETsJwjoiIiIiIiIiIiIiIiMhJGM4REREREREREREREREROQnDOSIiIiIiIiIiIiIiIiInYThHRERERERERERERERE5CQM54iIiIiIiIiIiIiIiIichOEcERERERERERERERERkZMwnCMiIiIiIiIiIiIiIiJyEoZzRERERERERERERERERE7CcI6IiIiIiIiIiIiIiIjISRjOERERERERERERERERETmJrq4XQLUjPz8f58+fl9+Hh4fDzc2tDldEREREREREREREREREDOcaqfPnzyMqKkp+Hx0djS5dutThioiIiIiIiIiIiIiIiIhtLYmIiIiIiIiIiIiIiIichOEcERERERERERERERERkZMwnCMiIiIiIiIiIiIiIiJyEoZzRERERERERERERERERE7CcI6IiIiIiIiIiIiIiIjISRjOERERERERERERERERETkJwzkiIiIiIiIiIiIiIiIiJ2E4R0REREREREREREREROQkDOeIiIiIiIiIiIiIiIiInIThHBEREREREREREREREZGTMJwjIiIiIiIiIiIiIiIichKGc0REREREREREREREREROwnCOiIiIiIiIiIiIiIiIyEkYzhERERERERERERERERE5CcM5IiIiIiIiIiIiIiIiIidhOEdERERERERERERERETkJAzniIiIiIiIiIiIiIiIiJyE4RwRERERERERERERERGRkzCcIyIiIiIiIiIiIiIiInIShnNERERERERERERERERETsJwjoiIiIiIiIiIiIiIiMhJGM4REREREREREREREREROUm9D+eysrIwd+5cdO3aFQaDAT4+Pujbty8++OADFBYWVmvfiYmJmDNnDiIiIuDu7g5/f38MHToUCxcuhMViKfO2RqMRixYtwk033YSgoCDo9Xp4eXmha9euePrpp3H+/PlqrY2IiIiIiIiIiIiIiIgaH8VSXgpVhy5duoQRI0YgNjYWAODh4QGTyYSCggIAQM+ePbF161b4+flVet8HDx7EmDFjkJKSAgAwGAzIz8+H0WgEAIwZMwarV6+Gi4tLqdumpaVh3Lhx2Ldvn7zMy8sLeXl58vaurq749ttvMWXKlEqvrSbExMQgKipKfh8dHY0uXbrUyVqIiIiIiIiIiIiIiKhmhIWF4dKlS/jqq69w//3321ynKAoAYNu2bRgxYoTzF0cVUm8r54xGI2655RbExsaiRYsW2Lx5M3JycpCbm4sffvgBXl5eOHz4MO65555K7zsjIwMTJkxASkoKOnXqhP379yMrKws5OTn45JNPoNfrsXHjRsyePdvu7WfPni2Dublz5yI5ORmZmZnIz8/H9u3b0aVLFxQUFGDGjBmIj4+vzq+BiIiIiIiIiIiIiKhJOnr0KNzc3ODm5oawsDBZHOPIiBEjoChKuf/KC61mz54NRVHw0ksvycvCwsIqtO+SYVl5vv7600Ar5AABAABJREFU6wrtV1EUWcjU2JlMJmzduhXPPvssBg0ahICAAOj1evj5+WHQoEF46623kJaWVtfLrBZdXS/AkSVLluD48eMAgOXLl2PgwIEAAI1Gg2nTpsFsNuOuu+7CunXrsHXrVowaNarC+37//feRkJAAd3d3rFu3Dm3btgUAuLi44IknnkBmZiZefPFFfPnll5g9ezY6duwob1tQUIAff/wRADBjxgy8+uqr8jqtVovhw4dj1apVaN++PfLy8rBmzRo8+uij1f59EBERERERERERERE1JQsWLJCd9C5duoS1a9fi1ltvLfd2er0e/v7+Dq8v6zoAWLVqFQBg0qRJpa5zc3ODj4+Pw9uWdV15AgMDodVqHV4vrgsPDy93HQ3ZY489hoULF8rvNRoNvL29kZ6ejj179mDPnj34v//7P6xcuRIDBgyow5VWXb2tnFuyZAkAYOTIkTKYszZ9+nQZqn3zzTeV2rfY3nof1p588kkYDAaYTCYsXbrU5rq0tDT5ZNCnTx+7+w8PD5cP7uzs7EqtjYiIiIiIiIiIiIioqcvLy5PH50UItWDBggrddtCgQUhISHD4b8WKFQ5ve+zYMcTGxiIkJAS9e/cudf20adPK3PfHH39chZ9WtX///jL33bp1awDA1q1bcerUKdx2221Vvq/6rKioCEFBQXj22Wexe/du5OfnIy0tDVlZWVi4cCECAgKQmJiI8ePH4/r163W93Cqpl+Fcbm4udu3aBQAYN26c3W0URcHYsWMBAJs2barwvk+fPo3Lly+XuW+DwYChQ4fa3Xfz5s3h6ekJADhw4IDd258/fx6pqakAHAd4RERERERERERERERk388//4z09HQYDAZ88sknAIANGzbU+igpUTU3ceJEOb+NnOvxxx9HbGws3nvvPQwcOBB6vR6Amt08+OCD+PXXXwEAqamp+OKLL+pyqVVWL8O5kydPwmw2AwCioqIcbieuS0hIkGFYeaKjo0vdvqx9nzhxwuZyRVFkm8olS5bgtddeQ0pKCgC1D+rvv/8uy2qnTJmC4cOHV2hdRERERERERERERESkElVyU6dOxfTp09G8eXOYTCYsXry4Vu935cqVAFCh9pl1Rcy/+/rrr8vcLiEhAX/729/Qtm1buLm5ITg4GHfffTdOnTpV7n2sXbsWkydPRkhICFxdXeHn54dhw4Zh/vz5KCwstHsbMfNv7ty5KCoqwgcffIA+ffrA19cXiqJg+/btFfr5+vfvD3d3d4fXDxw4EJ07dwagVhs2RPVy5tzVq1fl1yEhIQ63s77u6tWr5faJrcq+MzMzkZ2dDYPBIK978803kZycjG+++QZz587F3Llz4e3tjdzcXBiNRrRr1w7vvPMO5syZU+56KiIpKanSpZnnzp2rkfsmIiIiIiIiIiIiInKmU6dOYefOnQCABx98EDqdDvfddx/ee+89LF68GC+99FKtVLXFxcXh0KFD8Pb2xsiRI2t8/8508eJF3HnnnUhISIC7uzv0ej0SExPx3XffYcWKFfjll19kd0JreXl5uO+++7Bs2TJ5mbe3NzIyMrBjxw7s2LED33zzDdatWwc/Pz+7952fn48RI0Zg9+7d0Ol08PLyqvH/Lzc3NwBq0VRDVC/DuaysLPm1h4eHw+2sr7O+TW3s2zqcc3Nzw8KFC9G1a1e8+OKLKCoqQmZmprw+NzcXqampKCgoKPM+Kuqzzz7Da6+9Vu39EBEREREREREREZFzWSwW5Bbl1vUyapSH3qNWWz4uXLgQANCpUycMGjQIAPDAAw/gvffeQ2xsLDZv3ozRo0fX+P2uXr0agDoSy8XFpcb370zPPPMMfHx8sGnTJtx4441QFAV//vknHnroIRw/fhzTpk1DTEwMWrVqZXO7Rx55BMuWLUO7du3wxhtvYMKECfD29kZ+fj42bdqEZ555Bnv37sUDDzyAX375xe59f/rppwCAr776CtOmTYO7uztSUlJq7G8mOTlZdkns2rVrjezT2eplOFffXbx4EbfeeiuOHz+O6dOn49lnn0VERATS0tLw22+/4YUXXsA777yDLVu2YPv27TbBHhERERERERERERE1HblFuTC83biOEWe/kA1PF89a2XdhYSGWLFkCQA3kBBHU7d69GwsWLCgznNu9ezeCg4PtXufj44PTp0/bvU7MmyurpeWPP/6IDRs22L0uKioKW7ZscXjb8vTt2xdardbudV9//bXdSjdH8vLysGfPHkRGRsrL+vXrhy1btiAyMhKpqal4++23ZZAGADt27MD//vc/BAUFYfv27WjdurW8zs3NDRMnTkSvXr3QqVMnrFy5EkeOHEGPHj1K3Xd2djZWr16NW265RV4WEBBQ4bWX5+WXX0ZhYSF0Oh3uv//+GtuvM9XLmXNeXl7y69xcx2cUWF9nfZva3LfJZJLB3H333Yfvv/8evXv3hsFgQOvWrTFjxgxs2bIFrq6uOHjwIN55550KrYuIiIiIiIiIiIiIqKlbuXIlkpOTZStLaw8++CAAtcKtrFFQRUVFSExMdPjPnoyMDGzfvh16vR4333yzw33n5+c73G9ycnIVfuJiycnJDvedn59fqX1NmTLFJpgTgoKC8NhjjwFQg0ZrixYtAgDcfffdNsGctVatWsmWnxs3brS7TZcuXWyCuZr0448/4vPPPwcA/OMf/0BERESt3E9tq5eVcy1btpRfx8fHo1u3bna3i4+Pt3ubyuzb29u7zH17e3vbVL5t2rQJx48fBwA8++yzdm/buXNnjB8/HitWrMDy5cvxxhtvVGhtjsyaNQtTpkyp1G3OnTuHSZMmVet+iYiIiIiIiIiIiKh6PPQeyH4hu66XUaM89NUf5+TIggULAADjx49H8+bNba6bOnUqnn76aWRnZ2PJkiUOj9EPHz4c27dvr9T9rlu3DkVFRbjxxhvh4+PjcLsZM2bg66+/rtS+K+rixYsICwurkX3dcMMNZV731ltvISUlBRcvXkTbtm0BALt27QKghnTfffedw9tnZGQAAC5dumT3+sGDB1d12WXasWMHZs6cCUD9GV5//fVauR9nqJfhXGRkJDQaDcxmM6KjozFu3Di724meosHBwfD396/QvqOiomxuby85tt53586dbS4/ceKE/Do8PNzh/XTo0AGA+mCqrqCgIAQFBVV7P0RERERERERERETkXIqi1FoLyMbmwoUL2Lp1KwDblpaCwWDAtGnTsGjRIixcuNBhOFcVoqVlYyl6CQkJqdB1SUlJMpy7evUqACAzMxOZmZnl3oej7oS1kWfs2bMH48ePR15eHgYPHoxVq1ZBp6uXEVeF1Mu2lh4eHjJZddS71WKxyJLJygx+7NixI0JDQ8vcd05ODnbs2GF33xpN8a/MUSoMQJbGVrTdJhERERERERERERFRU7Zo0SJYLBYEBwc7bC0pWluePn1aHsevrsLCQqxfvx4AMHHixBrZZ0NkMpkAAPPnz4fFYin3n6MKQkdz86pqz549GDt2LLKysjBw4ECsX7/epuNhQ1QvwzlALQ0FgG3btmHfvn2lrv/5559x4cIFACjVd7YsiqLI7X/44QfExsaW2ubTTz9FdnY2tFot7r77bpvrevXqJb+eP3++3ftISEjAL7/8AgAYOHBghddGRERERERERERERNQUmUwmGfbcd999DquiBg4cKDviiRaY1bV9+3ZkZmaiV69eDmetNTTWY8HKus66yi04OBhA2YVJzrZ7926MGTMGmZmZGDhwIDZu3NgoiqLqdTjXtWtXWCwWTJ48WZayms1m/Pzzz3j44YcBAOPGjcOoUaNsbjt37lwoigJFUeyGb88++yyCg4ORm5uL8ePH4+DBgwDUdHz+/Pl4+eWXAQCPPPIIOnbsaHPboUOHonv37gCATz75BH//+99lqWd+fj42bNiAYcOGISMjA4qi4O9//3vN/VKIiIiIiIiIiIiIiBqhtWvXymPt9lpaWhPXL1u2DOnp6dW+75UrVwIAbr311mrvq77Ytm1budf5+/vLlpZA8ay4NWvW1O7iKmj37t02FXMbNmxoFMEcUI/DOZ1Oh9WrVyMsLAzx8fG48cYb4enpCU9PT0ydOhWZmZno2bMnli5dWul9+/j4YM2aNQgICMCJEyfQp08feHt7w2AwYNasWSgsLMTo0aPx4YcflrqtRqPB8uXL0a5dO1gsFnz44YcICQmBl5cXPD09MW7cOJw9exZarRYfffQRhg8fXhO/DiIiIiIiIiIiIiKiRktUwQ0ePBgRERFlbnvfffdBr9cjLy+vShmBNYvFgtWrVwNoPPPmALX74OnTp0tdnpycjC+++AIAMG3aNJvrHnnkEQBAdHS0w86BQk5ODgoLC2totaVZB3ODBg3Cxo0b4e3tXWv352z1NpwDgLCwMBw7dgyvvPIKoqKioCgK9Ho9evfujffffx979+6Fn59flfbdu3dvxMTE4JlnnkGHDh1QVFQET09PDBkyBAsWLMD69evh6upq97bh4eE4duwYPvzwQ4wYMQKBgYHIz8+Hm5sbOnXqhEcffRSHDh3CU089VZ0fn4iIiIiIiIiIiIio0YuPj5cz30aNGoVTp06V+S81NVWOlFq4cGG17vvgwYOIj49HWFgYunXrVu2fpb5wc3PD2LFjsWXLFlgsFgDA/v37ceONNyI5ORleXl54/vnnbW4zfPhwzJw5EwDwxBNP4JlnnpHjxQCgoKAAe/fuxXPPPYc2bdogKSmpVta+d+9eGcwNHjy4UVXMCfabttYjXl5eeO211/Daa69V+DZz587F3Llzy92uefPmmDdvHubNm1fpdXl6emL27NmYPXt2pW9LRERERERERERERESqxYsXw2QyAQBef/11vP766xW+7ZEjR3DgwAH06dOnSve9atUqAI2rpSUAfPjhh3jxxRdx0003wcPDAxqNBtnZ2QAAV1dXfP/99wgNDS11u88//xxarRYLFy7ERx99hI8++ggGgwF6vR4ZGRkwm81yW0VRamXtL774IrKysgAAJ06cQIcOHRxu27p1a+zfv79W1lGb6nXlHBERERERERERERERNV4WiwWLFy+u1j5ES8yqaKzhXNu2bXH48GE88cQTaNasGQoLCxEUFIQ777wThw8fxvjx4+3ezsXFBQsWLMDu3btx//33Izw8HCaTCdnZ2QgKCsKIESPwyiuv4NixYwgJCamVtVsHgGlpaUhMTHT47/r167WyhtqmWEQ9IzUqMTExiIqKkt9HR0ejS5cudbgiIiIiIiIiIiIiIqL648KFCwgPD4e/vz8SExOh09X7ZoPUSLByjoiIiIiIiIiIiIiImhxRNTd+/HgGc+RU/GsjIiIiIiIiIiIiIqImJyQkBK+++ipuueWWul4KNTEM54iIiIiIiIiIiIiIqMmZOnVqXS+Bmii2tSQiIiIiIiIiIiIiIiJyEoZzRERERERERERERERERE7CcI6IiIiIiIiIiIiIiIjISRjOERERERERERERERERETkJwzkiIiIiIiIiIiIiIiIiJ2E4R0REREREREREREREROQkDOeIiIiIiIiIiIiIiIiInIThHBEREREREREREREREZGTMJwjIiIiIiIiIiIiIiIichKGc0REREREREREREREREROwnCOiIiIiIiIiIiIiIiIyEkYzhERERERERERERERERE5CcM5IiIiIiIiIiIiIiIiIidhOEdERERERERERERERETkJAzniIiIiIiIiIiIiIiIiJyE4RwRERERERERERERERGRkzCcIyIiIiIiIiIiIiIiInIShnNERERERERERERERERETsJwjoiIiIiIiIiIiIiIiMhJGM4REREREREREREREREROQnDOSIiIiIiIiIiIiIiIiInYThHRERERERERERERERE5CQM54iIiIiIiIiIiIiIiIichOEcERERERERERERERERkZMwnCMiIiIiIiIiIiIiIiJyEoZzRERERERERERERERERE7CcI6IiIiIiIiIiIiIiIjISRjOERERERERERERERERETkJwzkiIiIiIiIiIiIiIiIiJ2E4R0REREREREREREREROQkDOeIiIiIiIiIiIiIiIiInIThHBEREREREREREREREZGTMJwjIiIiIiIiIiIiIiIichKGc0REREREREREREREREROwnCOiIiIiIiIiIiIiIiIyEkYzhERERERERERERERERE5CcM5IiIiIiIiIiIiIiIiIidhOEdERERERERERERERETkJPU+nMvKysLcuXPRtWtXGAwG+Pj4oG/fvvjggw9QWFhYrX0nJiZizpw5iIiIgLu7O/z9/TF06FAsXLgQFoulQvs4d+4c5syZg6ioKPj4+MDT0xPt2rXDpEmT8Nlnn1VrfURERERERERERERERNS4KJaKplB14NKlSxgxYgRiY2MBAB4eHjCZTCgoKAAA9OzZE1u3boWfn1+l933w4EGMGTMGKSkpAACDwYD8/HwYjUYAwJgxY7B69Wq4uLg43MdHH32E559/Xq7Hw8MDGo0G2dnZAAAfHx+kp6dXem01ISYmBlFRUfL76OhodOnSpU7WQkRERERERERERERERKp6WzlnNBpxyy23IDY2Fi1atMDmzZuRk5OD3Nxc/PDDD/Dy8sLhw4dxzz33VHrfGRkZmDBhAlJSUtCpUyfs378fWVlZyMnJwSeffAK9Xo+NGzdi9uzZDvcxb948PPPMMzCZTHjhhRdw4cIF5OTkICsrC6mpqdiwYQMeeuihavwGiIiIiIiIiIiIiIiIqLGpt5VzixYtkuHW7t27MXDgQJvrv//+e9x1110AgC1btmDUqFEV3vfLL7+Mf//733B3d0dMTAzatm1rc/3bb7+NF198EVqtFidOnEDHjh1trj9+/Dh69+6NoqIiLFu2DJMnT67Kj1irWDlHRERERERERERERERU/9TbyrklS5YAAEaOHFkqmAOA6dOny1Dtm2++qdS+xfbW+7D25JNPwmAwwGQyYenSpaWuf+utt1BUVIRJkybVy2COiIiIiIiIiIiIiIiI6qd6Gc7l5uZi165dAIBx48bZ3UZRFIwdOxYAsGnTpgrv+/Tp07h8+XKZ+zYYDBg6dKjdfefk5GD58uUAgHvvvbfC90tERERERERERERERESkq+sF2HPy5EmYzWYAsGnNWJK4LiEhAampqfD39y9339HR0aVu72jf69evx4kTJ/6fvfsOj6Ja/wD+3d30bBKSQCDU0AKhd0R6UaTZCyp2LFev5ao/9epVQb16vdar2LAXEAUE6YiASO8tBUKABEhIIb1ny/z+GM/JbEs2YbMJ8P08j49Jdmb2kOzOzpz3vO9r8/Ndu3bBZDIBAAYOHIgtW7bgrbfewrZt21BcXIzo6GiMGTMGTz31VI3Hr4vs7Gzk5OTUaZ+UlBSPPDcRERERERERERERERF5TpMMzmVkZMiv27Rp43I77WMZGRluBefqeuyioiKUlJTAaDQCAJKTk+U2P//8M5599lkoigKj0QhfX1+kpqbim2++wbx58/DZZ5/hnnvuqXVMtfn4448xe/bs8z4OERERERERERERERERNa4mWdayuLhYfh0UFORyO+1j2n0a8tj5+fny6+eeew59+/bFzp07UVxcjOLiYuzYsQN9+vSByWTCAw88gF27drk1LiIiIiIiIiIiIiIiIrr4NcngXFMmym0CQEBAAFauXIkhQ4bInw0dOhQrVqxAYGAgzGYz/v3vfzfGMImIiIiIiIiIiIiIiKgJapJlLUNCQuTXZWVlLrfTPqbdpy7HDg0NrdOxtV/fdtttaN26tcO+7dq1w2233YYvv/wS69evh8VigcFgcGt8zjz88MO46aab6rRPSkoKrr322no/JxEREREREREREREREXlekwzOaQNe6enp6NOnj9Pt0tPTne5Tl2O7Cs6JY4eGhsp+c4Btn7q4uDiXz9OjRw8AQGlpKXJzcxEVFeXW+JyJioo6r/2JiIiIiIiIiIiIiIioaWiSZS3j4uKg16tDi4+Pd7mdeKxVq1aIiIhw69i9evVy2L+mY4sgm+AqUGhPURT5tU6nc2sfIiIiIiIiIiIiIiIiurg1yeBcUFAQhg8fDgBYs2aN020URcHatWsBAFdeeaXbx46NjUX79u1rPHZpaSk2b97s9NhdunRBp06dAABJSUkunycxMRGAmnkXGRnp9viIiIiIiIiIiIiIiIjo4tUkg3MAcNdddwEANm7ciJ07dzo8vnDhQpw4cQIAcOedd7p9XJ1OJ7dfsGABUlNTHbb56KOPUFJSAoPBgNtvv93h8bvvvhsAMH/+fGRkZDg8fvr0afz4448AgMmTJ8ssQCIiIiIiIiIiIiIiIrq0Ndmo0V133YXevXtDURTccMMNWL9+PQDAarVi4cKFuP/++wEAkyZNwvjx4232nTVrFnQ6HXQ6ndPg29NPP41WrVqhrKwMU6ZMwd69ewEAVVVV+OSTT/Diiy8CAB544AHExsY67P/kk0+iQ4cOcv9du3bJx3bt2oWpU6eivLwcgYGBeOmllzzy+yAiIiIiIiIiIiIiIqILn09jD8AVHx8fLFu2DGPHjkVqaiomTJiAoKAgWK1WVFRUAAD69++PefPm1fnYYWFhWLFiBSZOnIjExEQMGjQIISEhqKiogMlkAqCWs3zvvfec7h8cHIw1a9ZgwoQJOHDgAIYOHQqj0QgAKCkpAQAYjUb8+OOPiIuLq88/n4iIiIiIiIiIiIiIiC5CTTZzDgBiYmJw6NAhvPTSS+jVqxd0Oh18fX0xcOBAvP3229ixYwfCw8PrdeyBAwciISEB//jHP9C1a1eYTCYEBwdjxIgR+Pzzz7F69Wr4+/u73L979+5ISEjASy+9hD59+gAALBYLunXrhsceewzx8fGYOnVqvcZGREREREREREREREREFyedoihKYw+CPC8hIQG9evWS38fHx6Nnz56NOCIiIiIiIiIiIiIiIiJq0plzRERERERERERERERERBcTBueIiIiIiIiIiIiIiIiIvITBOSIiIiIiIiIiIiIiIiIvYXCOiIiIiIiIiIiIiIiIyEsYnCMiIiIiIiIiIiIiIiLyEgbniIiIiIiIiIiIiIiIiLyEwTkiIiIiIiIiIiIiIiIiL2FwjoiIiIiIiIiIiIiIiMhLGJwjIiIiIiIiIiIiIiIi8hIG54iIiIiIiIiIiIiIiIi8hME5IiIiIiIiIiIiIiIiIi9hcI6IiIiIiIiIiIiIiIjISxicIyIiIiIiIiIiIiIiIvISBueIiIiIiIiIiIiIiIiIvITBOSIiIiIiIiIiIiIiIiIvYXCOiIiIiIiIiIiIiIiIyEsYnCMiIiIiIiIiIiIiIiLyEgbniIiIiIiIiIiIiIiIiLyEwTkiIiIiIiIiIiIiIiIiL2FwjoiIiIiIiIiIiIiIiMhLGJwjIiIiIiIiIiIiIiIi8hIG54iIiIiIiIiIiIiIiIi8hME5IiIiIiIiIiIiIiIiIi9hcI6IiIiIiIiIiIiIiIjISxicIyIiIiIiIiIiIiIiIvISBueIiIiIiIiIiIiIiIiIvITBOSIiIiIiIiIiIiIiIiIvYXCOiIiIiIiIiIiIiIiIyEsYnCMiIiIiIiIiIiIiIiLyEgbniIiIiIiIiIiIiIiIiLyEwTkiIiIiIiIiIiIiIiIiL2FwjoiIiIiIiIiIiIiIiMhLGJwjIiIiIiIiIiIiIiIi8hIG54iIiIiIiIiIiIiIiIi8hME5IiIiIiIiIiIiIiIiIi9hcI6IiIiIiIiIiIiIiIjISxicIyIiIiIiIiIiIiIiIvISBueIiIiIiIiIiIiIiIiIvITBOSIiIiIiIiIiIiIiIiIvYXCOiIiIiIiIiIiIiIiIyEsYnCMiIiIiIiIiIiIiIiLyEgbniIiIiIiIiIiIiIiIiLyEwTkiIiIiIiIiIiIiIiIiL2nywbni4mLMmjULvXv3htFoRFhYGAYPHox33nkHVVVV53XsrKwsPPXUU+jWrRsCAwMRERGBkSNH4osvvoCiKHU+3qRJk6DT6aDT6TBmzJjzGhsRERERERERERERERFdfHwaewA1SUtLw5gxY5CamgoACAoKQmVlJfbs2YM9e/Zg3rx5WL9+PcLDw+t87L1792LixInIzc0FABiNRhQXF2PLli3YsmULFi1ahGXLlsHPz8+t433zzTdYs2ZNncdBREREREREREREREREl44mmzlnNpsxbdo0pKamIjo6GuvWrUNpaSnKysqwYMEChISEYP/+/ZgxY0adj11YWIipU6ciNzcX3bt3x+7du1FcXIzS0lLMmTMHvr6+WLt2LZ544gm3jpeZmYknn3wSzZo1Q1xcXJ3HQ0RERERERERERERERJeGJhuc+/bbb3H48GEAwOLFizFhwgQAgF6vxy233ILPPvsMALBq1SqsX7++Tsd+++23kZmZicDAQKxatQqDBg0CAPj5+eGRRx7B7NmzAQBz585FcnJyrcd7+OGHkZ+fj7feegtRUVF1GgsRERERERERERERERFdOpp0cA4Axo4di2HDhjk8Pn36dHTs2BEA8N1339Xp2GJ77TG0Hn30URiNRlgsFsybN6/GY/38889YsmQJRo8ejfvuu69O4yAiIiIiIiIiIiIiIqJLS5MMzpWVlWHr1q0AgEmTJjndRqfT4aqrrgIA/Pbbb24f++jRozh16lSNxzYajRg5cmStx87NzcWjjz4Kf39/zJ07Fzqdzu1xEBERERERERERERER0aXHp7EH4ExSUhKsVisAoFevXi63E49lZmYiLy8PERERtR47Pj7eYX9Xx169ejUSExNdbvPYY48hOzsbr732GmJjY2t97vrKzs5GTk5OnfZJSUlpoNEQERERERERERERERFRfTXJ4FxGRob8uk2bNi630z6WkZHhVnCurscuKipCSUkJjEajzePLly/H/Pnz0atXLzzzzDO1Pu/5+Pjjj2UfPCIiIiIiIiIiIiIiIrpwNcmylsXFxfLroKAgl9tpH9Pu09DHLiwsxEMPPQS9Xo/PP/8cvr6+bj03ERERERERERERERERXdqaZHCuqXvqqaeQkZGBhx9+GJdddlljD4eIiIiIiIiIiIiIiIguEE2yrGVISIj8uqyszOV22se0+9Tl2KGhoXU69u+//44vv/wSbdu2xeuvv+7Wc56vhx9+GDfddFOd9klJScG1117bMAMiIiIiIiIiIiIiIiKiemmSwbnWrVvLr9PT09GnTx+n26Wnpzvdpy7HdhWcE8cODQ216Td3//33AwD++9//QqfToaSkxGY/i8Ui/y8eCwwMhMFgcGt8zkRFRSEqKqre+xMREREREREREREREVHT0CTLWsbFxUGvV4cWHx/vcjvxWKtWrRAREeHWsXv16uWwf03H7tGjh83PU1NTAQC33XYbQkJCHP7bsmULAGDLli3yZ8uXL3drbERERERERERERERERHRxa5LBuaCgIAwfPhwAsGbNGqfbKIqCtWvXAgCuvPJKt48dGxuL9u3b13js0tJSbN68uc7HJiIiIiIiIiIiIiIiIqpJkwzOAcBdd90FANi4cSN27tzp8PjChQtx4sQJAMCdd97p9nF1Op3cfsGCBTITTuujjz5CSUkJDAYDbr/9dpvHFEWp8b/Ro0cDAEaPHi1/xt5vREREREREREREREREBDTx4Fzv3r2hKApuuOEGrF+/HgBgtVqxcOFC2ftt0qRJGD9+vM2+s2bNgk6ng06ncxp8e/rpp9GqVSuUlZVhypQp2Lt3LwCgqqoKn3zyCV588UUAwAMPPIDY2NgG/FcSERERERERERERERHRpcSnsQfgio+PD5YtW4axY8ciNTUVEyZMQFBQEKxWKyoqKgAA/fv3x7x58+p87LCwMKxYsQITJ05EYmIiBg0ahJCQEFRUVMBkMgFQy1m+9957Hv03ERERERERERERERER0aWtyWbOAUBMTAwOHTqEl156Cb169YJOp4Ovry8GDhyIt99+Gzt27EB4eHi9jj1w4EAkJCTgH//4B7p27QqTyYTg4GCMGDECn3/+OVavXg1/f38P/4uIiIiIiIiIiIiIiIjoUqZTFEVp7EGQ5yUkJKBXr17y+/j4ePTs2bMRR0RERERERERERERERERNOnOOiIiIiIiIiIiIiIiI6GLC4BwRERERERERERERERGRlzA4R0REREREREREREREROQlDM4REREREREREREREREReQmDc0RERERERERERERERERewuAcERERERERERERERERkZcwOEdERERERERERERERETkJQzOEREREREREREREREREXkJg3NEREREREREREREREREXsLgHBEREREREREREREREZGXMDhHRERERERERERERERE5CUMzhERERERERERERERERF5CYNzRERERERERERERERERF7C4BwRERERERERERERERGRlzA4R0REREREREREREREROQlDM4REREREREREREREREReQmDc0RERERERERERERERERewuAcERERERERERERERERkZcwOEdERERERERERERERETkJQzOEREREREREREREREREXkJg3NEREREREREREREREREXsLgHBEREREREREREREREZGXMDhHRERERERERERERERE5CUMzhERERERERERERERERF5CYNzRERERERERERERERERF7C4BwRERERERERERERERGRlzA4R0REREREREREREREROQlDM4REREREREREREREREReQmDc0RERERERERERERERERewuAcERERERERERERERERkZcwOEdERERERERERERERETkJQzOEREREREREREREREREXkJg3NEREREREREREREREREXsLgHBEREREREREREREREZGXMDhHRERERERERERERERE5CUMzhERERERERERERERERF5CYNzRERERERERERERERERF7C4BwRERERERERERERERGRlzA4R0REREREREREREREROQlDM4REREREREREREREREReQmDc0RERERERERERERERERe4tPYAyAiIiJHWSVZeH7984gIjEC/Vv3Qr1U/dG/eHQa9obGHRkREREREREREROehyWfOFRcXY9asWejduzeMRiPCwsIwePBgvPPOO6iqqjqvY2dlZeGpp55Ct27dEBgYiIiICIwcORJffPEFFEVxuV9KSgreeecdTJs2DR06dIC/vz+Cg4MRGxuL++67D3v37j2vcRER0cWtsKIQFqulxm1e3PgivjrwFd7e/jZmLJmBXp/0wpU/XOmlERIREREREREREVFD0Sk1RaEaWVpaGsaMGYPU1FQAQFBQECwWCyorKwEA/fv3x/r16xEeHl7nY+/duxcTJ05Ebm4uAMBoNKKiogJmsxkAMHHiRCxbtgx+fn42+23duhUjRoyw+VlISAgqKytlsFCv1+OFF17AK6+8UudxeUpCQgJ69eolv4+Pj0fPnj0bbTxERKRKL0pHlw+7YGLniVg6fanTbTJLMhHzfgwqLZW4vfftSC1IxdbTWwEA+c/mo1lAM+8NmIiIiIiIiIiIiDyqyWbOmc1mTJs2DampqYiOjsa6detQWlqKsrIyLFiwACEhIdi/fz9mzJhR52MXFhZi6tSpyM3NRffu3bF7924UFxejtLQUc+bMga+vL9auXYsnnnjCYV+TyQSDwYBrr70WCxcuxLlz51BUVISysjLs2rULI0aMgNVqxauvvoovv/zSA78JutQtiF+AbnO64VDWocYeChF5wOHsw6gwV+C347+5zJ77cOeHqLRUYljbYfj+uu+x5d4taBvaFgAQnx3vzeESERERERERERGRhzXZ4Ny3336Lw4cPAwAWL16MCRMmAFCz0m655RZ89tlnAIBVq1Zh/fr1dTr222+/jczMTAQGBmLVqlUYNGgQAMDPzw+PPPIIZs+eDQCYO3cukpOTbfbt0qULkpKSsGTJEtx4442IjIwEABgMBgwePBjr169Hnz59AABvvPFGPf/1RNV+jP8RybnJWJS4qLGHQkQekF+eDwAoN5cjJS/F4fHiymJ8vOdjAMAzw5+BTqcDAPSO6g0AOJx12EsjJSIiIiIiIiIioobQpINzADB27FgMGzbM4fHp06ejY8eOAIDvvvuuTscW22uPofXoo4/CaDTCYrFg3rx5No+1bdsWXbt2dXlsPz8/mc13/Phx5Ofn12lsRPZySnMAAEdzjzbySIjIEwoqCuTXB7MOOjz+xb4vUFBRgNjIWFzd7Wr5cxGcYxYtERERERERERHRha1JBufKysqwdavaW2fSpElOt9HpdLjqqqsAAL/99pvbxz569ChOnTpV47GNRiNGjhxZ52MLAQEB8muLxXnJMiJ35ZT9FZw7x+Ac0cUgv6J60YZ9oM1kMeHdHe8CAJ4e9jT0uuqP6T4t1azsw9nMnCMiIiIiIiIiIrqQNcngXFJSEqxWKwCgV69eLrcTj2VmZiIvL8+tY8fHV/fqcefYiYmJbh1X648//gAAREdHy7KXRPUlMueSc5NhVayNPBoiOl/azDn74NyC+AU4U3QGLYNb4o6+d9g81rulmjkXnx0PRVEafJxERERERERERETUMHwaewDOZGRkyK/btGnjcjvtYxkZGYiIiPD4sYuKilBSUgKj0VjrsQFg+/btWLp0KQBg5syZslfQ+cjOzkZOTk6d9klJcexjRBcek8WEwspCAGp/qtOFp9GhWYdGHhURnQ/Rcw5wLGv55f4vAQCPDX0MAT4BNo91b94dPnofFFYW4nTRabQPa9/wgyUiIiIiIiIiIiKPa5LBueLiYvl1UFCQy+20j2n3aYhjuxOcy8nJwa233gqr1YquXbvimWeecWtMtfn4448xe/ZsjxyLLiznys7ZfH/k3BEG54gucNqylqcKT6GgogDNApqhzFSG7We2AwBu6nGTw35+Bj90i+yGhJwEHM46zOAcERERERERERHRBapJlrW8EJWUlODqq69GWloaQkJCsHDhQrez7YhcEf3mhKO51X3nzFYzps6fitsW38YSd0QXEG1ZSwA4nKX2kNt2ehuqLFVoG9oWXSK6ON1XlLZk3zkiIiIiIiIiIqILV5MMzoWEhMivy8rKXG6nfUy7j7ePXVpaiilTpmDHjh0wGo1YtWoV+vbt69Z4iGoi+s0JR89VB+cOZB7AymMr8WP8jw5BPCJqukTmXKBPIIDq0pYbTm4AAIzrOM5lSeQ+UX0AMDhHRERERERERER0IWuSZS1bt24tv05PT0efPn2cbpeenu50n7ocOzQ0tMZjh4aG1pgBJwJzf/75J4KDg7Fy5UqMGDHCrbG46+GHH8ZNNzmWOKtJSkoKrr32Wo+Og7zPPuh2JPeI/Hrrqa3y66ScJEQFR3ltXERUfyJzbli7YdhwcgMOZR0CoAnOxYxzua/InBP7EBER1ZeiKB7pj01ERERERER11ySDc3FxcdDr9bBarYiPj8ekSZOcbhcfHw8AaNWqFSIiItw6dq9evWz2j4uLq/HYPXr0cHksEZjbtGkTgoKCsHLlSowaNcqtcdRFVFQUoqIYeLkUicy5NiFtkF6cbpM5t+3MNvn1kXNHMDpmtNfHR0R1l1+uZs6Naj9KBucKKwqxO2M3AGBsx7Eu9+0dpQbnjpw7gipLFfwMfg0/YCIiuugcyDyAK76/ArNGz8IjQx5p7OEQERERERFdcppkWcugoCAMHz4cALBmzRqn2yiKgrVr1wIArrzySrePHRsbi/bt29d47NLSUmzevLnGY5eWlmLy5MnYtGkTgoODsWrVKowezeAIeZbInBvRXs3GTC9OR3FlMQC1P5Vw5NwRx52JqMmxKlaZOTcmZgwAtUTlH6l/wKpY0SWiC9qHtXe5f/uw9gj1D4XZarYJ1hMREdXFmpQ1OFd2DsuSlzX2UIiIiIiIiC5JTTI4BwB33XUXAGDjxo3YuXOnw+MLFy7EiRMnAAB33nmn28fV6XRy+wULFiA1NdVhm48++gglJSUwGAy4/fbbHR4XgTlRypKBOWoo58rOAQBiI2PRIqgFACA5NxmnC0/jTNEZuZ223CURNV3FlcVQoAAABrcZjACfAJSZyvD5vs8B1FzSElA/w0T2HPvOERFRfaUVpAFw7G9MRERERERE3tGkg3O9e/eGoii44YYbsH79egCA1WrFwoULcf/99wMAJk2ahPHjx9vsO2vWLOh0Ouh0OqfBt6effhqtWrVCWVkZpkyZgr179wIAqqqq8Mknn+DFF18EADzwwAOIjY212besrAxTp07Fn3/+CaPRiNWrVzdIKUsioDpzrkVQC3Rv3h0AcDT3KLaeVvvN+Rv8ATBzjuhCkV+hlrQM8AlAkG8QekWppZZXHlsJABjXsebgHFBd2vJwlhqcm394PkZ9PQoJ2QkNMWQiIroIpRX+FZwrY3COiIiIiIioMTTZ4JyPjw+WLVuGmJgYpKenY8KECQgODkZwcDBuvvlmFBUVoX///pg3b16djx0WFoYVK1YgMjISiYmJGDRoEEJDQ2E0GvHwww+jqqoKV155Jd577z2HfRctWoQ//vgDAGA2m3HTTTehVatWLv/btm2bwzGI3CVWMzcPao5ukd0AAEfPHZUlLa+Pux6Auvq5zFTWOIOki05RZREWJizka6oBiJKW4QHhAIA+UX1sHhelLmvSu2V15txHuz7C7b/cjs2nNmP+4fkeHSsREV28ThWeAgBkl2ZDUZRGHg0REREREdGlp8kG5wAgJiYGhw4dwksvvYRevXpBp9PB19cXAwcOxNtvv40dO3YgPDy8XsceOHAgEhIS8I9//ANdu3aFyWRCcHAwRowYgc8//xyrV6+Gv7+/w35Wq1V+XVFRgaysrBr/q6qqqve/n0hmzgW3QLfmanDuSO4RGZy7pts1iAyMhAIFybnJjTZOuri8vvl13LzoZny066PGHspFJ79czZxrFtAMANC3VV/5WK+oXmhpbFnrMUTm3LoT6/D31X+XPz9ZcNKDIyUioouVoigyc67KUoXiquJGHhEREREREdGlp0kH5wAgJCQEs2fPxuHDh1FSUoKioiLs2bMHTz31FPz8/JzuM2vWLCiKAkVREBMT4/LYLVu2xLvvvovk5GSUl5cjPz8fmzdvxsyZM6HXO//V3H333fLY7vw3ZswYD/wW6FIlMue0ZS33nd2HA5kHAACXt7tc/pylLclTtp/ZDkAtoUqeJcpahgf+lTnXsjpzrrZ+c4IohVllURd/jGw/EgCDc0RE5J78inyUVJXI79l3joiILkSKouC7g99h/9n9jT0UIiKiemnywTmiS5VVsSK3PBfAX5lzf5W1TMlLgUWxoF1oO7QLa8fgHHmUoig4mHkQAJBRnNHIo7n4iLKWInNOG5wb32m8kz0chQeGo2eLngCA/074L96/6n0AwMl8BueIiKh2oqSlwL5zRER0Idp3dh/uWnoXZiyZ0dhDISIiqhefxh4AETmXV54Hq6KWUW0e1BxRwVHw1fvCZDUBULPmADA4Rx6VVpiGwspCAAzONQRR1lL0nIsIjMCkLpNwPP84xsaMdfs4a2asQWZJJga1HoS88jwAQFZpFspN5Qj0DfT8wImI6KKRVpBm8z0z54iI6EIk5kCSc5Nhtprho+cUJxERXViYOUfURJ0rOwcACPMPg5/BDz56H3SO6Cwftw/OJZ1L8v4g6aIjSqYCDM41BJE5J4JzALDq9lU4+vejCPEPcfs4bUPbYlDrQfJYof6hAIDUglSPjZWIiC5Oot+ckF2a3UgjISIiqj/xeWa2mnG68HQjj4aIiKjuGJwjaqJkv7ngFvJnIhAHAMPbDQcAxDWPA6CuFrNYLV4cIV2MtMG5nLIcVJorG28wFyHRc06UtfQEnU6Hjs06AmDfOSIiqp1D5hzLWhIR0QVI+3l2Iv9EI46EiIiofhicI2qixERJ86Dm8mei71yQb5DsVRXTLAZ+Bj9UmCsceogQ5ZfnY0XyCrcDt9rgHABklmQ2wKguXTJzLjC85g3rqGP4X8E59p0jIqJanCpSrxcDfdQyyCxrSUREF6LUwlT5NYNzRER0IWJwjqiJkplzQdWZc/1a9QMAjGg/Ar4GXwCAQW9AbGQsAO/1nSuuLPbK89D5e/b3ZzHtx2lYEL/Are3tg3MsbelZDZE5BwAxYTEAmDknHMs9hq2ntjb2MIiImiSRadA/uj8AZs4REdGFSZs5dzz/eCOOhIiIqH4YnCNqosREiTY4d3PPmzF36lx8OuVTm21FuUtXwbnVx1ZjZfJK5Jblnve43tn2DsL+E4Y1KWvO+1jU8MQKwp3pO2vdtqCiQNbt79GiBwAgvTjdZps5u+Zgzq45Hh7lpSO/XA3OaXvOeYLInGPPObXnxLjvxmHUN6O8tmCBiOhCIj7rB7ceDIA954iI6MKjKIpN5SBmzhER0YXIp7EHQETOOes5p9fpcf/A+x22FX3nks4lOTy27fQ2TJ4/WX4fGxmL23vfjpdGv1Svcf2R9gcUKNicthlXdbmqXscg78krzwMAxGfH17rtwcyDANRSqT1a9EBiTqJN5lxeeR4eXf0oAOC23rchIjCiAUZ8cRNlLT2dOceec9U2pW7CmaIzANSFCdpenUREl7pyU7kMxg2MHgiAmXNERHThySnLQbm5XH7P4BwREV2ImDlH1ESdKz8HwDZzzpWaMuc2ntwIoLqvSHJuMl7+42WkF6U7bOuOs8VnAQBnis/Ua3/yrroE50RJy36t+qFNSBsAtmUtU/JS5NdHzx314CgvHaKs5cXQcy6jOAMlVSVeez53/ZTwk/x63Yl1jTgSIqKm53TRaQBAsG8wujVXexmz5xwREV1oRElLHXQAWNaSiIguTAzOETVRzjLnXKkpOCfKGb4+/nXkPpMr+9PZ9xZzlwjWiMwUatpEcC6nLKfWslUHsg4AAPq27IvWIa0B1BCcy2Vwrj4aKnMuplkMADX4V1hR6NFjO5NZkokuH3TB2G/HNvhz1YXJYsIvSb/I7zelbUKVpaoRR0RE1LSIycwOzTrIBWA5ZTlQFKUxh0VERFQnopx/31Z9Aaj3WaKFABER0YWCwTmiJspZzzlXRMAtpyzHpq+coijYcWYHAGBom6GICIyQ/UUOZh2s85jMVjOySrMAMDh3ITBZTCiuKpbfJ2Qn1Li9NnNOBOe0PeeO51WvRmQvr7qrMFegwlwBwPM954x+RjQPag7AdWnLclM5Thee9sjz/Zn2J8rN5TiQeQBWxeqRY3rChpMbkFuei6jgKEQFR6HMVCbPgUREBNmfp0NYB0QFRwFQP5+aYiY0kbcoioKHVz6M1ze/3thDISI3if6pcc3j0MrYCgBLWxIR0YWHwTmiJkpkzokJ95oY/YxoF9oOAHA4+7D8eWpBKnLKcuCr90X/6P4A1KwooH6Zc9ml2XIi/kzRGa6ybuJECUUhIcd1cK7KUoXEnEQAtsE5m8y5fGbOnQ+xklOv0yPEP8Tjxxd958QqUq0lSUvQ9cOu6PB+B3y9/+vzfq7d6bsBqAF7kZ3ZFPyc8DMA4Ia4GzC+43gAwO8nfm/MIRER1YnZasa+s/sabOGDmMxsH9YewX7Bsuw5+87Rpex4/nF8sucT/GvDv1BmKmvs4RCRG2QmeFgHdArvBIClLYmI6MLD4BxRE6QoSnXmnBtlLQFgVIdRAIA1KWvkz0RJy36t+iHAJwBAddmH+mTOaQM1ZaYyFFY2fPm8hmaymPDU2qdsfm8XC/ugSU19546cO4IqSxXC/MPQIayD0+CcNnOOPefqTpS0DPMPg17n+Y9fZ33nzhSdwXU/XYfrf74e6cXpUKBg5vKZWHpk6Xk91+6M3fLrzJLM8zqWp1RZqvDLEbWk5S09b8GEThMAsO8cEV1Y/rXhXxg4dyB+PPxjgxxfBOc6hHUAUH2dyb5zdCkTlQUUKEjKSWrk0RCRO+TnWbPq4Bwz54iI6ELD4BxRE1RcVSz7JLlT1hIApnSdAgBYeWyl/Jm2pKUgMueO5R5DaVVpncalDdQAF0dpyxXJK/Dujnfx3O/PNfZQPK4uwTltSUudToc2IW0AAEWVRbLUlbbnXEpeCsxWs4dHfHH54dAPuOqHq+TfQWQyhgd6tqSlEBMWA6C6rGW5qRyXf3k5lh5ZCh+9D54f8Tzu7nc3rIoV0xdNx8aTG+v1PBarBXsy9sjvPR2cUxQFX+3/qs7ZveuOr0NBRQFaGVthRPsRMji3K32X7MOnKAo2ntzISWgiapIsVgu+OfANANicZz1J23MOgE3fOaJLlbaMe02VJoio6RDBuZhmMegc3hkAg3NERHThYXCOqAkSE8eBPoEI9gt2a5+JXSbCoDMgPjtelrUTmXOXtb1MbtfS2BKtjK2gQKkxWOPMxRicExlATSX7x5NEUCjYV30NJeQkyFKk5aZyXPn9lRj25TC8s+0dWfqvX6t+AIAQ/xAY/YwA1L97SVWJ7Dfoq/eFyWpyWj6Rqv1ny3+w9vha/HrkVwDVmXPNApo1yPPJzLm/gnPLk5fjdNFpRBujsf/B/fj3+H/j82mf49ru16LSUolrFlyDw1mHazqkU0fOHUGpqTqwX5f3TmlVqey758q209tw37L7cMeSO+o0rp8T1ZKWN/W4CQa9Ae3D2iM2MhZWxYo/Uv8AoP5Nxn03rs7HJiLyhu1ntsvP2oySjFq2rh/Rc659WHsAkH3nskuzG+T5iC4E2nuaut4fEVHjEPei2rKWDM4REdGFhsE5oiboXNk5AO6XtASAiMAIDG8/HACwMnklKs2V2Hd2HwBgaNuhNtvWt+/c2eKzNt9fDME5sTL9XNm5BunvklGc0WB9Y2ojgnOD2wyGQWdAQUWBDLCuSF6BdSfWYceZHXh63dP4/tD3AKpfGwBsSluKkpbNg5ojrkUcAJa2rInJYkJybjKA6hXYoudceEDDZM7Z95wTf9N7+t2DXlG9AAA+eh/8eMOPGNVhFIqrivHJnk9qPObWU1vxxuY3bAJq2pKWgPvBuTJTGXp/0hsDPhsAi9XicjtRcjcxJ9Htvi+V5kpZqvPmnjfLn0/oWF3acuPJjfjXxn/J78V5loioqfgl6Rf5tf01lydYrBacLlLL97GsJVG19KLqzDkG54iavoKKAhRVFgFQF5uw5xwREV2oGJwjaoJkvzk3S1oK2tKWB7MOospShcjASFnmQRABmJr6zokMK62LLXNOURTsPbsXAGBRLDKzyVN+P/E72rzbBs+se8ajx3WXCM5FG6PRNbIrgOpA0aKkRQCA8R3HY2T7kdBBBz+Dn+xdCNgF5/660ekc3hndIrsBAI7mMjjnSkpeCkxWEwA1yARUl7Vs8My5/JPIKc2RfRTv6GubJRbgE4AZvWcAqC4HY89kMeGF9S9g5Ncj8fyG5/H2trflY7vT6xec23hyI04WnETSuSQ5OeyMCPpaFavbE2RbTm1BUWURoo3RuLzd5fLnorTl8uTlmL54ugyUWxUrViSvcOvYRETeoCiKTXDO/prLE86WnIXZaoZBZ0B0SDQA52UtD2cdxrKjyzz+/ERN1Zni6nsalrUkavpEiebmQc0R7Bcs5ztOFZ6CyWKq07FWJK/Aq5tedTr/QURE1NAYnCNqgsTq5bpkzgHA1NipAIANJzdg/Yn1ANSsOZ1OZ7OdKF3oKjiXWZKJdu+1cyj9JkosidXW2lWm9sxWs9tZL40ltSDVpi+bp1eN70rfBQAySOJt4t8WERghM6fis+NRZiqTgYk3xr+BP+/5E2eePIOjfz+KzhHVgVzRdy69KF32m+sS0aU6OMfMOZdEQA6onuQRwd+GypwTJcpKTaX4cNeHMFvNGNR6ELo37+6wbdvQtgCcB9hP5J/AyK9H4vUtr0OBepP63cHv5A3rrgz1dT2o9SAA7gfnVqesll/X9No5kntEfn0w0/UCAq31J9Xz3YROE6DXVV/ajO04FnqdHqcKTyG7NBt9WvbBs8OfBQAsObLErWMTEXnDvrP7kFaYBh3Ua7aM4gyPTxSKkpZtQ9vCR+8DwHlw7rqfrsM1C67B/rP7Pfr8jSWvPA/vbX8PWSVZjT0UaqK09zSnCk/JjBwi8h6TxYRXNr2CvRl7HR5TFMXmM1EsMBTzEq2MrRDgEwCrYpWfde5QFAV3L70bL/3xkqw6RERE5E0MzhE1QWKCpHlQ8zrtF9c8Dh2bdUSlpRLv73wfADC0zVCH7fq2+itzLvOg05KL8w7NQ3pxOhYnLrZ5XKziHtJmCADbVab27v31XkS9FYWT+Sfr9G/wJlHSUtBOTHmC+H0lnUtqlEBlblkuADU417NFTwBqcG5NyhqUmcrQIayDDLC0DmmNmGYxNvtrM+dEcK5zeGd0a64G57RBFLKlXXV9qvAUiiuLq8taBjZMcC7AJ0D+zf63838AgDv6OO+t1i6sHQDH4JyiKJg8bzJ2pu9EmH8Yvr7mawT5BuFY3jHsTN+JSnOlDJhNi50GALI/Uk0URbEJzomSn85oA3eHsg7VemygOjg3vuN4m583C2iGwa0HAwBC/UOx6KZFuK33bQCA347/htKqUhBRw1iTssYh05ZcW5y0GAAwqeskAEC5udzjAQKRadChWQf5M9FzTixQSi9Kl9ny205v8+jzN5Y5u+bgyd+etMkCJ9Kyvx7SLrIiutQVVhRizq45Dd6jfUH8Arz8x8u49qdrHXpU3/PrPQh/MxzHco8BqP48E/evOp2uXqUtj+cfR265es/sqqIIERFRQ2JwjqgJkplzdSxrqdPpZGnL7NJsAMBlbS9z2C42Mhb+Bn+UmkqdNk3+KeEnAOrE0OnC6vJzDsE5F2UtrYoVS48sRampFOtOrKvTv8GbHIJzHs6cE78vq2J1O8jgSXkVjplzCTkJWJSolrS8sceNDlmVWjI4V1Jd1rJLRBeZicXMOdfsJ3WSziXJzLmGKmsJVPedK6osgo/eB9N7TXe6ncicyyvPswkc55bnynKlBx46gLv73Y0b4m4AoGbPHco6BJPVhMjASAxrOwyAe5lzybnJNucaVyVRy0xlNjfGNZXeFQoqCuR7eXyn8Q6PPzL4EUQbo/HDdT+ga2RX9I7qjU7hnVBhrsDa42trPT4R1V1mSSamzJ+CKfOnsEyUGxRFkcG5O/rcgTD/MADnX9rSqlgxc9lMjP5mNObunSsXjohMa6C6SoO4btT2Fd1z1vY66UJ1LO+Yzf+JtEwWk7yW6dOyDwD2nSPS+mr/V3h09aN4c8ubDfo8W05tAaDOMXyx7wv58z/T/sS3B79FYWUhPtr9EYDqHtsicw6ALG3pbH7DFVHpRjwvERGRtzE4R9QE1bfnHFBd2lIQgTQtH70PerfsDcCxbNyJ/BM2EzNiEt1kMcmJG5GJ4uoCNrUgFcVVxQCAA5kH6vxvqK/CikI8vPJht1d6i35zgqcz59KLq0vkNEaZDFdlLZcnLwegBudq4jRzLqIzYiNjAagZU4UVhQ0y9gudmAD1M/ip32cnyJ5zDVXWEoBN9uNVXa6SGRH2wvzDEOwbDMC2lJNYhdrK2Eoe686+dwJQV7OKm+bBbQajlbEVAPeCcyJrTpScdJU5J1bDCoeyDtU6sb8pdROsihWxkbEy6Kh1R987kPFUBqZ1UzP9dDodru12LQCWtiRqKMfzjsOqWJFTliOvB8i1xJxEJOcmw8/gh8ldJ8vP37MlZ8/ruB/v/hhf7v8Sf6b9iQdXPIh/b/43ANvJTPuyljvP7JSP2S9iulCJhWY19Tsl77JYLbhr6V3o/UlvDP58MEZ9PQp3LrmzUSpNZJZkQoECX70vxsaMBcDgHJGWWChSU9UcT9h2pvoe/vXNr6PcVA5FUWz6t39/6HtUmiury1pqMsFF5hyDc0REdCFhcI6oCZLBuTr2nAOA0TGj5aR7t8huLrN0+rZUS1vaB88WJiy0+V5kR4nSdT56H1kWs6CiACVVJQ7H1gb83Ml88ZSfE37GJ3s+waw/ZtW6raIoctJpQPQAAA2XOQfAae38hqYNznWJ6AI/gx/KTGUoqSpBu9B2TkueaomecyfyT8iJrS4RXRDqH4poYzQA1xlQlzKz1SzfN1d1uQqAOvHqzcw5wHVJS0ANUDnrO2ffvwEAxsaMRZuQNsivyMdb294CoAboRXDuXNm5Whuvrzq2CgBwbfdrAbh+3Rw5d0Qe31fvi8LKwlpLzLgqaVmT6+KuA6A2gK9r03giZ9IK0rD62OraN7xEaM8r55v9dSkQWXNXdr5S/YwNUT9jz+d3l5KXgmd/V3ts3tb7NtkvFgB6tOghvxbXmuIaSPQVBdTProuh/K94PWqrQVDj+v3E7/ju4HeIz47Hnow92HxqM74/9D0WJy72+ljEYrrokGiZOactT050qRMllrW92j2tsKIQCdnq+65lcEucLTmLz/Z+hsVJi7EzfSeCfYPRytgKeeV5+PXor07vWepT1pLBOSIiamwMzhE1QefKzgGoX+ZcgE8Aruh8BQDnJS0FEZyzD56Jkpb2wRcxQRRtjEazgGYI8QsBYJt1I2hLOB7KOmTTt+504Wm0f689pi+a7vGsK5Hd5c5queP5x1FYWQh/gz/GdBgDoPr37glWxYqzxdUr3vdlNm7mnI/eR5ajBIAb4m6osaQlYJs5p0CB0c8oX5Oi7xxLWzpKyUuByWpCsG8wruqsBucScjSZcw3Ucw4AOoarwblQ/1DZE84V0XdOm0kgSsRoM/AMegNm9JkBoDqLY0ibIYgMioRBZwBQXQ7NmdKqUmxK2wQAeGLoEwDUPnzlpnKHbUVwrndUbzl5XFtJ2PoE54a1HYao4CgUVBTIsRGdj1sX34rJ8yc3ykKMpkibOc7gXM3KTeX49uC3AIDru18PwPbztz4sVgvuXno3ykxlGNdxHL6/7nskPZKEP+76A19d/RVu6XmL3FZkWJeby1FcWSz7BProfWBVrF6tgNAQFEWRE645ZTkOfYyocXy5/0sAwPRe07Hi1hWymsPW01u9Phbx+mgb2tamRzMRqYqqGj44tzN9JxQo6NisI14d+yoA4I0tb+Cf6/8JAHj68qdxX//7AKhlNp31UK1rWUuTxYT9mfvl99prFyIiIm9hcI6oidlwcgOScpIA1C9zDgD+NfJfGNVhFJ647AmX2/Rr1Q+AbXDuWO4x7M/cD4POgCeHPQmgerJcTBCJCSORdePsIlZ7zJKqEpsL5CVHluB00Wn8lPAThnwxRP5bPeFEgfo8pwpPwWK11LitmEDt26qv/Dd5sqxlTmkOLEr1GOKz41FprvTY8bUURcG729/Fb8d/s/m5NjgHQJa2BGovaQlArtwXukR0kQE9sQKfmXOORL+5uBZx8neemJOI/HI1ONeQmXNTY6diUOtBeG3sawj0DaxxW6eZcwWOq1ABxyy8wa0HQ6/To6WxJYCaS1tuTN2IKksVYprFYET7EbKsp7PeP+L11K15N7l63b70rlZGcQYScxKhgw5jO451uZ09g96Aa7pdAwBYksTSlnR+tAEM+36TlypmzrnvpY0v4UT+CbQOaY0beqg9Plsb/yprWVy/spYf7PwAW09vhdHPiC+v/hJ6nR46nQ6jY0bjnv73wKA3yG2DfYMR4BMAANh8ajOKq4oR5BuEKzqpC73sS4BfaHLKclBpqb7+YmZE48spzcHSI0sBAM8Nfw5TYqfg9t63A6juOeVNYqFhm5A2cmFQZkkmcstyvT4WoqZILKhtyODc9tPbAQCXt7scd/e7Gx2bdUR2aTZS8lIQFRyFp4Y9hXv63QMA+O34b/K+XbugUFvW0p1+t/HZ8TYLNvj5QEREjYHBOaImospShWfWPYMJ301AcVUx+rTsg0GtB9XrWANbD8SmuzfJAJwzYuL7VOEpeaH9c8LPAIAJnSbg8naXA3DMnLMPzjm7iBXBOR+9j/q9ZnJ986nNAAAddEjOTcaQL4bIG/TzdTL/JADAZDXV2qdFlLQcFD0IzYOaA/BscE78vloGt0RkYCTMVnODrcLdlb4LT/32FGYumyl/ZrFaZBlFGZxroQaKWoe0xrB2w2o9boBPgNwXqF6NCDA4VxMxOd+zRU85yZNWmCZLwzZkz7mo4Cjsvn83Hh36aK3btg1xXdZSe6MLAD2jemJg9EAAQLvQdjIo507fOVHSclKXSdDpdLJnobO+c2IxQPfm3V1m92ptOLkBANA/ur/Na9UdosTmL0d+aZQeN3TxSC9KR7lZzQQ9VXiqkUfTNDR05ty8Q/NseqNdqLaf3o53d7wLAJg7dS5C/UMBVC+OySip++8uvSgdz294HgDw7pXvOpzP7el0OpkVvyJ5BQBgUOtBsvT1hd53zr6UJUtbNr4fDv0Ak9WEgdEDZan84e2GA1ArDTRkAMAZcb5qG9oWIf4h8j3D0pZEKlHWUiw0bAii39ywtsPga/DFi6NelI+9PPplhPiHoHNEZ4yJGQMFauAt1D/UZtFjTLMY6KBDUWUR1p1YV+tzipKW4t7kTNEZt4J6REREnsTgHFEDe2PzG3hq7VM2pR21FEXBiuQVGPz5YLy17S0oUPDAgAew7d5t8DP4Ndi4wgLC5M3nq5teRWZJpixpeXPPm2Xw5UzRGZRWldqUtQRcB+eKK4tlptzkrpMBVE+uK4qCzWlqcG7RzYswJmYMSqpKcNvi2+RF//nQZuiJ8nyu7Dn7V3Cu9SCHfiueIH5fbULbyJ52DbX6XBz3TNEZVFmqAEAG5oDqYNBNPW9C5/DOeHHUi9Dr3Dv9i75zgJo5J4gSmSKYQtXEZE6PFj0QGRSJlsFqIEuszGzIspZ14ew9LN432hIxwswBavBXm6FWW3BOURSsTlH7cE3qMgmA65KoVsVanTkX2U1O2GmDc78d/w23/3I7DmcdBlC/kpbC+I7j0Ta0LTJLMt3qU3mpyCrJkucRco820KwtE3spa8jMufjseMxYMgMjvh6BeYfmefTYDU076VduKsc9v94Dq2LFnX3vxJTYKfKx8ylruSJ5BSrMFRjUepA8b9dGXAetPLYSADCk9RC5QOyCD87ZvScb6z267Ogy3PPrPZf8YhBFUWRJS1GiDlBfg+LeY+sp75a2FOcrcc3L0pZEtsR9enFVcYP0arYqVrngRiwQvqPvHZjcdTImdZmE+wfcL7fVnjfsK30E+gbK7LqbFt4k7xdcEcE5UU2jylLl0TYXRERE7mBwjqgBFVQU4PkNz+PdHe9i48mNDo8vO7oMgz4fhGk/TsOhrEOIDIzEkluW4LNpnyHYL7jBxzeh4wQAwPs730f799rjcPZh+Op9cV336xAZFInIwEgA6sSjfeacuIG1D84dzlYvgqON0fL4YnI9JS8FWaVZ8DP4YXLXyVh3xzq0CGqBcnO57BdXXwUVBbKnF1CdReeMVbHKspYDWw+UK8YbInOudUhrGZzbd7Zh+s6JcmoKFFmaR6w6DvELga/BF4AaXEt5LAUPDXrI7WOLv7fYXxABlmO5x2otIXqpEZlzImuuZ1RPm8cbsqxlXTgta+mkubrw4MAHseLWFXhv4nvyZ62Caw7OHc09itSCVPgZ/DCu4zgA1VmXyXm2mXPpRekoM5XBR++DTuGdZHbv8bzjKKkqQXFlMW5bfBvmH56PoV8MxVf7v8L6E/UPzvn7+OOTKZ8AAN7Z/g57hUEtJ9bm3TZ4fPXjjT0UAOp5dPK8yR7Lrm4o2hKtzJxTafvRejo4JxbimK1mzFgyAx/s/MCjx3fFYrWguLK43vtvO70NYf8JQ+cPOuPWxbfi1sW34mjuUUQbo/H+xPdtthWfvfUpa/nbCbXE9dWxV9faW1YQfefE63dImyEY2FrNlj5y7sh5/bsbm/11amNlzs3eNBvfHPgGa1PWNsrzNxU703ciIScBgT6BuLX3rTaPjWw/EoD3S1tqM+eA6jLwCdl1y5xbnLgYk+dNdpjcLzeVY9y34/DP3//pgdHSpWDrqa3oPqc7Vh9b3dhDAQAUVlb3idfeb9fkWO4xjPt2HP63438uFykLSTlJKKwsRLBvMHq37A1ArcCz8raVWHX7KnkvCwDXx10vs8ydLSb8eMrHGN1hNIoqizB5/mSb6xF7uzLU4NyI9iPkYkr2nSMiIm9jcI6oAWnLOYpVosIX+77ANQuuwb6z+xDsG4xnLn8GSY8kyVJr3vDxlI8x//r5uLzd5TBZ1VVwE7tMlJk9IjvqaO5Rt8taHso6BEDt5SYyX0TwSJS0HNJmCAJ8AuQkPFB7pltt7INx9sd7cu2TaPtuW7y88WXsSt+F4qpiBPgEoEeLHjaZc54qZSF/X0bvBeeA6ok1+35z9aUNzmnLWnYI6wB/gz8qLZV1mowuN5Vj/9n9tW94gTJbzTKbUKy8Fv8HgCDfoAbNiK2LdmHtAFRnERRWFMqMS2c3uzqdDlNip9i8pkTmnCjZaW9lspqFMbrDaLngQJSOsc+cE7+3LhFd4GvwRVRwFFoZW0GBgvjsePxv5/+QW54Lg86AcnM57lt2H04XnYav3hcj2o+o1+9gauxUTO81HVbFivuW3dcgq4EvJJ/u+RQWxYIVx1Y09lAAAO9sewerU1bjtT9fa+yh1IiZc7asirVBy1pmlajnmyDfIADA42se90r266OrH0XU21H1/gz79+Z/o7hKrS6wIH4Bfj36KwDgs6mfOWRUiyoFGcUZTq9LcstysTlts0OGkdlqluV+r+x8pdtjE4uUhCFthqCVsRXahraFAsXmOuNC41DWspHeo2KC+FLvafTlPvV+6MYeNzosVhKf5VtOezc4JzPnQtWFhyI4F5/jfuZcfnk+7lt2H1anrMaixEU2j20/sx0bUzfine3voNxU7qFR08Xsh0M/4GjuUfwY/2NjDwUAbCrcuFt29uPdH2Nj6kY8sfYJjP12rE2FG3vbTqslLQe3GSzbYrgS5BuEGb1nAADimsc5PO7v448ltyxB9+bdcaboDKbMn4Ls0myH7Yori2UAfnDrwTW27CAiImpIDM4RNSBtObZfkn6RF7Mmiwmv/vkqAGBm/5lIfSIVb17xpgwSeYuvwRe39r4VW+/dir0P7MW/x/0bH03+SD4u+4qdOyp7uNUWnBMByb4t+9r0tcsvz5fBuRHtqifSRWnN8w3O2V/wa48nSuikF6fjlT9fwfCv1L4W/Vv1h4/eR05KVVoqUVJVcl7jELTBTNGr61DWIY9P/putZpmtCDRscE6bOWfQG+T3denJ8dLGlzBg7gD8eLhp3Gx62on8E6iyVCHIN0gGuEQGHdB0suaA6vfwubJzqDBXyKy5yMBIGP2Mbh1D9J5zlTm3PHk5ADUIJmj7FWonnbUlLQXRd25T6ia8ve1tAMB3132H18e9LkuzDms37Lwyjf931f8QERiBg1kH5XNcispMZTJD7UzRmUYv62O2mjHvsFqy8FDWIVSaKxt1PDXRBue8nTlX22r0xpBTmgOz1Sy/93RwTpxvbu11K14bqwZuZ2+a3eABpNUpq1FhrsAX+76o876pBakyA2Le9fPw2tjXcF336/DG+Dcwrds0h+1Fz7lyc7lNxsLjqx9Hq7dboflbzTHqm1EY8fUI/Hb8N/n4now9KKgoQLOAZnXqW6wNzkUFR6F9WHsAqHdpy6ySLLyy6ZV6Zf55mgjGic+WxgjOWawWWZ2hIXowXghMFhMOZR3CgoQFAGxL0wkiOLc7fbfXgliKUl11wllZS3cX7b2z/R35Xk0rSLN5THxvspoarMQ9XVzEvVVTyMZXFMUmOOdu37lVKWrPab1Ojz/T/kSfT/rgp/ifnG67/cx2AMDlbS9369hvXvEmPpz0IZ4Z/ozTx8MDw7HqtlWICo7CwayDiPsoDl/u+9Lmmmnf2X1QoKBdaDtEh0QzOEdERI2GwTmiBqTNnKu0VMreKD8l/IRThacQFRyFDyZ9gOZBzRtriNKA6AF4fuTzckIG0PSGqiFzzr70gwhI9mnZB80CmsnyeIeyDsl+cyM7jJTbezo456tXy16kFlYfL704HUWVRTDoDOjTso+8MB/cejAAINgvGIE+gQA8V9oyo6T699UpvBPC/MNQaamUJQ/rY0nSEof+fMdyj8leZkD1pJOngnNiosLf4C9XFAuiJ8Cyo8vcPp5YDT0/fv55jaupEisw45rHyeCRNnNO9P9rCsIDwuXrPr0oXU4eOcuac6WmnnP55fmyNJU2ONclogt00KGgosAmACQy50TGLgAZ4H/lz1dQWFmIXlG9ML3XdPxz5D+x4c4NmNRlEv418l9uj9eZqOAoWVJu9qbZNZbEvVBZrBbc/svt+M+W/7jcZkXyCpSaSuX3jZ0ps+74OpmRabKaZFZ2U6Qta1lUWYTCisIatvacg5kHEf5mON7a+pZXns9d4rrAoDMAcJ39VV/ifNPK2AovjHoBN/e8GQAwd+9cjz2HvUpzdZb44qTFdS7nPHfvXChQcEWnK3Bb79vwwqgX8Mstv+C5Ec853T7IN0gu5hABrjNFZ/DBrg/k+yLELwSAmp0giEDdhE4TYNAb3B6fdnHYkDZDZDnMQdF/BefO1i04996O9/DyHy/j1sW3evRvXx/iukhcszRGWcvs0mx57SmuDy8VezL2YOgXQxHyRgj6ftoXJVUl6BLRBaM6jHLYtlN4J7QytoLJavJar8Pc8lxUWtTFH+Iep3vz7tDr9Mgrz3NZGUAruzQb7+94X36vvQcBbO9xRIYQkSuKosh+h00hG7/UVGoT1HIncy4lLwXJucnw0ftg3wP7MLrDaJSaSnHfsvuc9jUW74th7Ya5NSajnxF/H/L3GudQOoZ3xO93/I5+rfohrzwPM5fPxJhvxsgFVaLf3JA2QwC4btlBRETU0BicI2pAIlA1usNoAGppS0VR8ObWNwEATwx9AoG+gY02vtqIVcaHsw/LSXSxmlsE57JLs2VGg1WxyiwukfHSr1U/AMCalDU4nn8cOujkBAng+eCcuKjXHk8ExGIjY7H/wf1YcssSPDrkUZtJMTEx5alsEW0wU6fToX90fwDnV9py9qbZ+DH+R3x38Dv5M/sJdE9nzom/c+eIzjLYJEzvNR2AOlHp7EbLmWO56iT27yd+R5mp7LzG1hTZ95uz/7opZc7pdDqbVaIic068J91RU3BuTcoaWBQLerToIcvXAmqzdrEIQJtxVFPmnHitvDr2Vfk6HB0zGqtuX4UrOl/h9nhdmdFnBsbGjEWlpRKf7vn0vI/X1OzO2I35h+fXWB7SvnRSY5ef/f7Q9zbf787Y3UgjqZnJYpKfPyIY5a3JtA0nN6CosgirU5pGTxpBTGyJc1+lpdLtHjXuEJPl4vzz4MAHAahlwDyV/W7vRP4JOTmZVZolKwG4o8pSJUub16Xnq7a0JQDZF7NHix4o/mcxds7cCUANrIsAngjOXdnJ/ZKWQHXPOQAY0nqI/Fr0natroEQsttiUtqnRy7KJYJwMzjXCZLeoPgFcWplzFqsFdyy5A7vSd6HSUokQvxCMaD8CH0/+2Gk/RJ1OV13a0kt950TWXIugFvD38QegXqeI6hAiSFKTN7e8iVJTqSxbbp85pw3W1Sc4l5ybjEdXPYp7f73XZkEeXZzOlpyVn5mnC083eoa8dlEo4F5wTmSKj2g/An1b9cWGuzYgMjASpaZSh3vh3LJceQ9wWdvLPDRqVe+WvbH7/t14+4q3EeQbhM2nNmPg3IH4OeFneV0pgnPMnCMiosbC4BxRAzFbzfKG7r9X/Bf+Bn8czDqIV/98FfHZ8QjxC8HfBv+tkUdZM5E5J/4dvnpfRAZGAlCDPgE+AQCqJxpO5p9ESVUJ/Ax+cl8xuf7FfrUMlMioEzo26wjAAz3nCtRsl3Ex4wCoQSqxsl0bMNHr9Li2+7X4YNIHMtAIVJd0yin1UOacXabhgFbn33dO/I7WHl8rfyYCwKIMoaeDc1d0vgL3D7gfb4x/w+Gx0R1Go2VwS+SV5+H3E7/Xeqz88nzklucCACrMFdh4cuN5ja0pSjznGJyLDIqUTcbt+wo1Nu2NqHh9iWxXd9QUnBN9y6bFOpZsk33ncqv7zjnLnBN9KwG1vNo13a5xe2x1odPp8PjQxwEAXx/42u1gc03mHZrn0A+qsYhzeKmpFKVVpQ6PF1QUYNUxtfyQCLrvz2y84FxRZRGWHFkCALiqy1UAmm5wLrUgFWarGUG+QfJ9763MHPE509glSO2Jye5O4Z3kqnZPBiTE+UacV8fGjEWXiC4orip2WTLrfGmzIwHg54Sf3d53SdISZJdmo3VIa1zd7Wq39xPXD+J3JwJkQ9sMhdHPiLgWcRjebjgsigVfH/gahRWF2HFmBwDUedGCtqylmKgEIMtyJ+cm1ykj9Hj+cfn1U7895TC56y3a/ofD2qqLtwoqChosiOuK9jNSvD8uBT8n/Iwj544gPCAcRx45goLnCrD5ns01vj5F6fu69p2rNFdiRfKKOmcui4l4cT0kiF5W4trElfSidHy8R81efXHUiwAc72nsM+fczSbdeWYnrv7xanSf0x1zds/B1we+duhnRxcfbUDYZDXJPquNxf495U5wTpS0nNJ1CgC1tKUIvItKOoL43IqNjG2QakI+eh88dflTSHw4EaM6jEJJVQluWXSLLOVuH5yzrwrUVCmKgumLpmPGLzMaPUOdiIjOD4NzRA0kOTcZlZZKGP2MGNR6EK6Luw4A8PIfLwNQV083pSwaZzqFd5KZAEB1FhigTmbbl38QZcd6tugpmzmLyXUxeTiyfXVJS6A6S+dkwUmbC0urYsWhrENurxYUmQvD2w+Hr94XZqtZTmiJUoPagIk9cTPgibKWZqtZ3kjJ4Fz0X8G5zPoF5worCmUvi40nN8rggcicu7Kzukre08G5AJ8AzJ021+mEokFvkOXEFsQvqPVY9pObK5JXnNfYmiLxWtOWsgSAnlHq902prCUAtAtrB0DNJBCZc/UJzhVXFdsEfcxWs1w1qy1pKYjsOJE5V1JVIs8jIrAvtgvyDQIAvDb2Nacr7T1lSuwUtA5pjZyyHHnDXl97M/ZixpIZuHHhjW7fMB/PO44p86dgxi8zbPp1eYJ4XQLOz3FLkpagylKFni164o4+dwBo3LKWixIXocJcge7Nu+Nvg9RFLN4qcVZX4jXcNaKr/DzzVo8YMYEkFj00FdrJbvvsL0+wz5zT6XR4YMADAIDP9n7msefRElnfIiBYl9KWn+z5BABw/4D75bWRO8T1g8i6Er2qtL3kZg6YCUCtzLDh5AZYFIvNa9Fd2rKWg9sMtvm5+Ez4aPdH+HLfl3h3+7tYmbzSZYBLURR5TRYZGInMkkzM+mMWAPW18X+//R9eWP+CV7JBskqyYLaaodfp0a15N4T6hwLwfmlLbe+9SyVzzmK14JU/XwEAPDnsSXRr3s2hAoMzYgJ/66mtbr9GzhafxZhvx2Daj9Pw1G9P1Wmc4jxqX7pdBOeScpJq3P/1za+jwlyB4e2GyyzesyVnbfqkaoNzOWU5SMlLqXVceeV5GPn1SCxPXg4Fiqw4cL7XJ9T02WdrNnbfOfvFFbVlwpeZyuQCzMldJ8ufizkA+8C76DcnFlA0lA7NOmD9nevx3HC1co7JaoIOOrkIpalmzi09shS9Pu7lUNHiTNEZ/JTwE+YdnufR6gREROR9DM4ReYj9JI2Y2Owd1Rt6nd6m8bmfwQ9PXPaEF0dXP34GP5tydGKiSLC/iBVZXNpsF1HWUtD2mwMgbzZLqkpsVuL9cOgH9P20L2Yum1nrOC1Wi7zx7RrRVR5T/ExkM9kHTLTExJQnMueySrKgQIFBZ5DHFcG5g5kH67W6TQROADX7RWTkiNfZ1bFq8Ez2nKvwTHCuNiLLZumRpSg3lde4rZjcFBmXK4+tvKhW+p3IPyFXWNsHgsVrT2SeNhVtQzRlLQvqXtYyxC9E9q3T9mXZdnob8ivyEREY4fRm2z5zTgQ4WgS1sHnN+hp8seimRfj6mq9lALqh+Oh95Hn6fHtXbUxVJyUySzKRXZpd6/bzDs1D/8/6Y9WxVZh3eB5e3fTqeT2/vfic6okeZ+MRZedu7XUr+rdSS/AezT3aaKVnReneO/vcKXuDJuYkOs36a2xi0UFsZCzaharBbm9NpIlJ/tyy3CZ1LpWT3SFtHLK/PEHbc064q99d8NX7YnfG7gYpySr+znf1vQsRgRHILs3Gn2l/1rpfYk4iNqVtgkFnkIE0d2kDm4qiyAC1mEgEgJt63IRQ/1CcyD8hF3/V51wZ1zwOLYJaYFzHcQ7XDSIY+MKGFzBz+Uw89dtTmPrjVIS/GY5RX4+yKbUNqOeYMlMZdNDhq2u+AgB8sPMD3LnkTnT+oDPe3v42Xt/yuley58U1UeuQ1vDR+8j3qLdLW2rLWhZWFjbJc5krhRWF9bo21mbNPTrkUbf369uqL4x+RhRWFtosLHFlV/ouDPp8kMy+WZy0GCaLye3nk4sJQmwz50QWf9I518G5SnOlLFn76thX0TyouVxQJF5jJotJPoe4p3KntOXOMzthsprQLrQdjjxyBItvXgxALRle2/U21awpfV46Yx+ca+y+c3Uta7nx5EZUWirRIayDDHIDsClZqw28i8oNzvpQepqP3gdvTHgDy29djqjgKFzd7WqE+Kv9W0WA/nTh6Sb1Gvn24LdIyElwyJrVZqg3dnYlERGdHwbniAB8uudTPL768Xqv4v1k9ycI/Hcgvj3wrfzZwcy/AlV/lXUc13GcnPS+q+9dDoGupkqbxeIqOCcm4mRwrmV1cC6mWQxC/ELk9+LCXAj0DZQTbNqVpRtObgCglphbk7KmxjFmFGfAZDXBR++DtqFtbfrYKYriVuacLGtZj8y5PRl7sDJ5pc14ALU/n1glLMZUaiqVGXB1Yd+/4rfjvyGzJBNZpVnQQSdXJhZVFqGwotBjmXO1uaztZWgf1h7FVcW19j0Sk5vXx12PQJ9AnC46LXsUelOludLjJa02pW7CkM+HoNJSie7NuzsEuB4b+hju6nsXHhz0oEef93w5LWvZzP3MOZ1O57S05fKjywGoK2YNeoPDfuK8IoJyIqipPd8Ik7pOwt397m7QrDnhvv73QQcd1p9cL1e2i4y2r/Z/5fZxtJP2oqyuMyaLCXctvQszlsxAcVWxnMR4bfNrHu23o53gtA/OZZVkYf3J9QDUYHt0SDRaBreU2cvellaQhk1pm6CDDrf3uR3RIdFoE9IGVsV6XmWBG4o2c04sDPHWRJr4rKm0VKLU1HQm+7WZc54OzpVWlcrzd0tjS/nzqOAoXB93PQDg832f13qc1IJUt4Jrgvj86tGiB67rrlZCcKe05ZxdcwAA07pNcyibVxtt5tyZojPIKcuBj94HfVr2kdsE+wXj9t63A4D8PK1PcC4sIAxpT6Rh3R3rHB57bOhjGBg9EMPaDsOUrlNwc8+b0bFZR5itZmw+tRn3/noviiuL5fYia65dWDtc3e1qXB93PSyKBd8f+h5Vlip5XfLtwW8dnsvTRIac+N3LbHEvZ87Zl37WBuuaMqtixYC5AxA7JxbH847XvsNfLFYLXv1TXWTy5LAnERYQ5va+Pnofuahnzq45Nhlo9lYdW4VRX49CRnEG4prHoXlQcxRUFGBT2ia3n0+UGXXInGtRe1nLE/knZJWUMTFjoNPpZKapuKY6U3QGVsUKP4OfPHe4E5zblb4LADAmZgy6Ne+GgdED0Ta0LUpNpfIzG1D/Rl/v/9qt3niXOqtixZhvxmDC9xMaLfhSYa7As+uexbrjjudaQfwtg32DATR+5pz9fWttwTkRbJvcdbLNtfuA6AEI9AlEXnmezEhNK0jD/sz90Ov0TsvgN5SpsVOR8WQGltyyRP5MVAQqNZU2WilmZ8QcgH0FGm0GrnaBJBERXXgYnKNLXn55Ph5d/Sg+2PVBvfoD/Zn2Jx5d/ShMVhPe3fGu/Ll9Fplep8ecSXNwfdz1mDVmlkfG7g2i/BxQvYpbEJMdO9N3Ylf6LrlaXTtxpNfp5fedwjs5DUpqg2mCdlL4wRUP2kz82BMTQR3COsCgN9gc72zJWRRWFsKgM8hsHWfqG5wrrizG+O/GY+qPU+WNhn2/OUANQoqShvXpNyIy5/wNarP6tcfXygBwbGQsWgS3kFlZpwpPeS04p9fpcUvPWwDUXtpS3FT0juqN8Z3GA2ic0pZDvhiCTv/r5LEA3Zf7vsQV31+B3PJcDGo9COvvXO8QkOoS0QXfXPuNTT+1pkC8h5Nzk+Vrv67l0MQEuXbysaZ+c0B15lxKXgq2ntqK/2z5DwDb801j6NCsg+xx9vnez5GYk4iRX4/EqmOr8N+t/3XrGFbFahNYqyk4982Bb/Ddwe+g1+kxe8xsHP7bYdzR5w5YFStm/DIDBRUF5/XvAdRJFO1EsH1wbmHiQlgVK4a2GYrOEZ0BVGc8N0Zpyx8O/QAAGNtxrAx2icydpljaUgTnYiNj5cS/diItrzwP474dh493f+zR51UUxaYvSm6Ze6UtCysKccX3V+CjXR95dDxa2jJxng7OiQmoQJ9Am4U/APDAQLW05Q+HfsDxvOMuJ18tVgsmfDcBY74Zg8NZ7i0QEZnfsZGxuKnHTQCAX478UmMJ2uTcZBkoFD0t60L7uxOv/V5RvRDoG2iz3f0D7pdfG3QGjIkZU+fnAtTrFGdlB0d1GIU9D+zBtvu2YcVtK/DTjT/hxOMncPyx44gKjoJFsdic58RqfpEl9P7E99G3ZV9c2flKbLp7E1bcqn4+LE5a7Pbn8Ftb38IV31/hVjlALREoFxlzTSFzDrhwSlueLjyNE/knUFBRgJnLZ7q9iHFh4kIknUuqc9acIEqmz903F30/7YtNqc6Dba/++SoqLZWYGjsVO2buwLXdrgUA/JL0i9vPJc5X9sFzcT1ytuSsyz522vO/CEKIaygxoa4tGS4WKG4740ZwLkMNzonscZ1OJ/992tKWc/fOxb3L7sXNC2+u9ZiXupP5J7EpbRM2nNzgVlUDwapYPdKLGFAXBP93239x1byr8NkexzLMVsWKhBx1QZW4V2rs4FxdMucURZH95rQlLQG1GsZlbS8DAHmdLF7LI9qPsCmv7A0GvcEmeBjsF1x9r96E+s6Jc4h9cE67YIKZc0REFzYG5+iStzx5uZxcqeuq/IziDNy88GZYFLWk5aGsQ3K1mwjOacs6TomdgsU3L75gsuYA2AQT7MctJjkWJS7C0C+GyotHbeYcAFkmzVW5CvvgnNlqljcmzYOa41ThKbyw4QWXYxTBOTERpD2emDDqEtEF/j7+Lo9R37KWPxz6Qd60iJWs4oLe/vclVuXWZ1JG3OTf0OMGAMD+zP347fhvAKpfY9r+Yd4KzgHVpS1XJK9AVkkWFsQvwF1L73LIKhCTal0jumJq16lyH2/KK8/DoaxDyCnL8UjgYf2J9Zi5fCZMVhNu6nETNt296YJ6f4vJKFG2KdQ/tM69MEXmnLgxTMlLwZFzR+Cj98HEzhOd7tM+rD38Df6oslRhxNcjcDj7MJoFNMMjgx+p57/Ec0TPmC/2f4FRX4+Sk6qnCk+5tdI6MSfRpvdDTcG5pUeXAgBmjZ6Fl0a/BIPegDmT56BTeCekFabh4ZUPn/fqbvuyYPYTUptPbQYAuaIfqD5na8sDfnvgW9z+y+31LnWpKAoOZh6stZ+e6D1yfffr5c/E5OTujN31eu6GpC1r6SxzblHiImxM3Yhnf3/Wo6XsiiqLbP4W7vadW3lsJX4/8Tte/fPVBsscEJlzDVHWUiwCaGls6ZBNOyZmDLpEdEFxVTG6fNhFll1cf2K9zXYbUzfieP5xKFDcyrApM5XJv2nXyK6y9GNtpS3/uf6fMFvNmNx1cr0CZtEh1WUtRb85bUlLoX90f/nzYe2Gyb5qDa1TeCd5vafN2pHXZM3Ua7J2Ye1w4KEDWDtjLUZ1GIXL2l6GrhFdUWYqcyuIoigK/r353/j9xO8Y9uUwbD+93e0xiteiQ3CuEXvOAfVbpNUYtFljf6T+gU/3fOrWfmLBTV2z5oT7+t+HH2/4ES2DW+Jo7lGM+XYM3tn2js022soY/xn/H4T6h8rs2aVHlrodSNSer7TCAsLk+ctVaUttcE6wz5wT/49pFiMzAhOyE+Tim5XJKzHtx2k2fa4URcHudPXzbkibIfLn13a/FgCw7OgyWKwWlJnK8MqmV+QYxXjIOe3ruS4B+gnfTfDIoj5FUeSCDatixUMrH8KsP2bZfBanFaShzFQGP4MfxsaMBeDd4Fy5qdyhbKq4zxUlW+37my0/uhwvbXwJf6b9ifjseKQWpMLf4I9xHcc5HF/0nRPXnkuOqJlr2mvQxtTU+s4VVxbLe/pjucdsXivaspb22dlERHRhYXCOLnmLkxbLr/dnut+npMpShRt/vhFZpVnoFdVLlhGaf3g+skuzkVmSCR106B3V2+Nj9iZtJot90OGmnjfh+rjr0a9VP7QPaw+jnxE397wZkUG2fbWeGf4M7h9wP14e/bLT54gJiwFQfQObnJuMKksVjH5GzLt+HgC1tI2rzMaTBScBOAnOFaa6VdISqF/mnKIo+HhPdTbEH6l/ANBkzhltf1/i92e/Gi+rJAvvbX+vxolbEfgc0nqInDgXN3giOCcmhr2ZOQeoE/mxkbEoN5ejzbttcOviW/Hdwe8cAgsi86BrZFdMiZ0CANhxZodH+vy5S7vK0N2MiZqIXiO3974dC25cIG9cLxQioCuISaW6aBVsW9ZSlLQc1WGUy0k5vU5vM5l1b797cfTvR9E/un+dn9/TpsROQbQxGnnlecgtz8XA6IHQQYdyc7lb54fNaeqEg8hAET0v7ZVWlcqgwXVx1ZMSof6hmHf9PBh0BvwY/6MsD1RfYqGDYB+cE5PEImsOgPw7iM/Es8Vn8dDKhzD/8HwsTlyM+vjh0A/o91k/zP5jdo3biQkz7XgGt2mawblyU7mcNOsa2dVm4l9MDIs+SCVVJXXK5qiNfbDrXNk5t/YTweKs0iybbHVPKaoskhOYDZI599ciAG2/OUGv0+N/V/0PfVr2ga/eF4WVhdh8ajPuX36/TVD4mwPfyK9F6biaiM+NZgHNEBkYCV+Dr5xIXJK0xOk+W05twS9Jv0Cv0+O/E9zLurUny1oWn5WvfZFFau/FUS/Cz+AnFxd4S6+oXgBcBOc0PYu1dDod7ux7JwA49Ktz5mTBSVlW7VzZOYz7bpzb5yGZOffXZ512EZM3ic9HcX16oWTOiWCGyFJ9Zt0zOJl/ssZ9zhafxcGsg9BBh78N+lu9nlen02F6r+k48vcjuLffvQBgU50EUH+HxVXFMOgM6BrZFYDaQiDELwRnS85i55mdbj2XNtPXnig17aq0pQzORWiCc3+VBhfX7drgXEtjS3QO7wwFCnac2YHEnETcvOhmrEheIUvgin1zynLgq/e16eM9qsMoNAtohpyyHGw/sx1zds2xycoU11/knPbv6G7wxWw144/UP5BenH7epUO3n9mOxJxEBPoE4v8u/z8AwOxNs/Ho6ursUvEccc3j5DnUW+erSnMlun/UHX0/7WsT3BaZo+L8pc2csypW3PbLbXj1z1cx+pvRGDBX7bE+tuNYp/dE2r5zOaU5MkgnAs+NTZwHmkpwzr7nvLZ8pU3POZa1JCK6oDE4R5e04spirE1ZK7+vS+bcixtexPYz2xHmH4YltyzBzP4zAajBOZGR0yWiC4L9gj06Zm+rqedcVHAUFt+8GPsf3I+0J9JQ/M9i/HTjTw7HaBfWDnOnzXVZLk8bTAOqS1r2juqNKztfiXv63QMFCu5ddq/TAJaYCOrYrKPt8TSZc7UG5/7KnHN3ghNQbyy0N2p/pP4Bq2J1WtYSqF6Vaz8p8/rm1/Hkb0/iXxv+5fK5ZFmcZh1kNlJxlVrqU6xcbx+qBufSCtK8GpzT6XSy541FsaBTeCf4GfyQW56Lo7lHAagl18RKyy4RXdA2tC36tuwLBUqtPQU9SXsjc7432SVVJfj16K8A1J48zsqBNXWRgZGyVCpQ95KWAGx6zlmsFhmwrm0V7AsjX8A13a7Btnu34ctrvkRUcFSdn7sh+Oh95ITiqA6jsOGuDTKDxZ3Vy3+eUjNpRDkfV5lzv5/4HZWWSnRs1hE9W/S0eeyytpfhH5f9AwDwyp+v2AS5zVYz5u6d61bPGqA6cy7AJwCAk+Cck0xfsQDgcPZhmK1mvLn1TVSYKwBUL0Koq3Un1P4qPyU4fkZo2We6ANUBiZS8FOSX5zvdrzGIbODwgHBEBkaidUhr6HV6mKwm+XvemV49Qfz1ga9dHstkMeGn+J/cXplv/znibllL7etRZCl6kvj7hfmHwehnbLjMueCWTh+f3HUyDj50ECXPl+DAgwfQIqgFThacxE/x6uuusKLQJkjqTnBOZEd2jegqs/XEgixn5ekURcHTvz0NAJjZfyZ6RvV02MYdopR4ublcLk5yFZy7pvs1qHihAjP6zKjXc9WXOHfF5zgG57QBdntinBtObqg1i01k8PaK6oWpsVNRYa7ATQtvwu8nfq91fOLYjVnWUlEUGUARGY7n+36oNFfiqh+uwlNrnzrv8dVEXMM9PPhhjOowCqWm0lrLW4ps0r6t+jos1qurZgHN8P5V7wNQf2fa85zIZusc0Rl+Bj8AgL+PP6bGqpUZREYOoJYzdFYWubSqVGawOesJKaqHiLL19pLzHDPn7KuBaINzAHB5u8sBAOuOr8NNC2+SGdArj1X3rhbnpT4t+8jPbkAtCyj+fd8c+EZmKIpjLkte5nScpNJmQLobfMkpzYEC9RpMnNvq64t9XwBQy7b+94r/4tMpn0Kv0+Oj3R/JTElxb9IrqpfNoktvSMhJwKnCUziWd8wmACcy55wF53JKc1BSVQIddIgMjJQLYa7pdo3T57is7WUw6AxIK0zDJ3s+gVWxol+rfvW6/2gIbUOaVuacfc95sdBVURTbnnMsa0lEdEG78GYSiTxo5bGVqLRUonlQcwDqpJWYgKyNyLj7eMrH6BLRBVNjpyLEL0RebAKwWe14oWoR1EJOmncM79ggz2F/IyuCc6JX3dtXvo3WIa2RnJuMJ9Y84bC/q7KWpwpP4XC2mh3lduZcHbK4xN/5zr53Isg3CLnluUjITnAZnHM1SXkkV13J+WP8jy5LvonfTYewDpjYxbZUoH1Zy4ScBDlxImrnN7Rnhz+LL6/+Ejtn7kTKoykOPQXE5GabkDZyJaWYYFh7fK2TIzYMm8y5bNvMueLKYjyy8hG3+1r9euRXlJnK0Dm8syy7d6HR6XQ2E1L1ypwTwbnSTCxMXIiUvBREBEbg7n5317jfLb1uwdLpSzGs3bA6P2dD++fIf2LT3Zuw7o51CPUPlb8X+5tke4qiyMy5Bwao/a+yS7OdBv2XJ6sr3KfFTnMozwcA/zf8/xDoE4hd6btkCVtALRf24IoHMfLrkfhw54e1liYUk+ZitbI2OKcoijwfaUt6dY7oDKOfERXmCmxK3YTP9lb3RdmYurHG53NFLFo5lnfMZeZFmalMTvpoX5cRgRHy/C7K+zUF9v2GfA2+8jx/qvAUCisKbSZ1N6ZudPlv//fmf2P64un4+6q/u/Xc9hnYdc2cA1Cn8oDuEpmY4u8ns79KzrpdZq4mIjjnLHNOy8/gh76t+uKJy54AALyx5Q1YFSsWJi5EublcTnoezT3qsp+UoM36Foa2GQpAvV6xLwG2MHEhdqbvRLBvMGaPrTlTtCaBvoGyzHCpqRS+et8aqzE4O480NGeZc/Y955yJaRaD0R1GQ4Ei+0y6IhbODWs7DEtuWYIb4m6AAsWhdLYzIggnXo8yc67wdIOVdbVXVFkk7y0GRKtZJRkl5xec23p6K9YeX4v/7fyf2/ct9SEyjXq06IEvr/4SgT6B2HByA674/gocPXfU6T5iAceYDmM8MoYQ/xC5+E573SbOrSK7TRALg35J+gWKouDPtD/R8+OeGPz5YIfFJeI8avQzOi0HKzPncmvJnHNS1tJZ5hwADG83HADw3o73kJiTiFbGVjDoDIjPjpfXGM5KWgqi79yX+79EfkU+erboie+uVTNQt57aWmM/MKHKUoWrfrgKL218qdZtLyY2ZS3dLG2rLRdYW9ZoTYoqi+TiJNEn9MFBD8rFjR/u+hBA9TWbNjiXXZrt8DnTEEQvc8D2flgG5/6qdJNXnic/z8U5NjokGllPZ2HzPZsx7/p5Nr1QtUL8Q+R9q+jl3FRKWgKOZS1LqkrwzLpn3M7E9TT7Cgfifjq3PNemF2BmKctaEhFdyBico0uaCLDN7D8TkYGRsCgWt0rdWawWuYpN1E4P9A206XUAOPZeuxDpdDosvGkhvr32W3SJ6NIgzyGCfqkFqVAURd58i0moiMAI/HDdD9BBhy/2f4FFiYts9rcPzkUbo+Gr94XZaparT+0zU+yJAG1xVTEqzZW1jjmrJEuO4/Ghj8uJ7z9S/6g1c85+UlW8lrJKsxx64wBq6TQxod6hWQdc3u5yBPuqGZlRwVFyklLcxIlJ8ECfQAT6Btb6b/EEfx9/3Nv/XgxpMwQ6nU5OPmw9ra72r2ly83wz2OrCPnNOOzn36Z5P8fGej/H8+ufdOtb8+PkA1JKWjTEp6ik2wblm9Q/OnS0+i9c3vw5AfU8Y/YyeGWAj8NH7YFSHUXI1vnhvacvLOJNakIr04nT46H0wvtN4OUlnv+reqlhlv8Vp3aY5PVZUcBQeGvQQALXskaIoOJB5ALM3zZbHeGzNY/j7qr/X2MdNZM6J3iXa4FxueS6qLFUAqvtbAWp5QPH5df/y+1FhrsCA6AEw6Aw4WXCy1iClvUpzpc2KdW2wUUtMhoT4hTiURJV959KbTmlLmVGlOa9pS1vuztgNBQo6NuuI8R3HA3Bexs+qWPHV/q8AAAviF7iVBeeQOedGz7lKc6XNSuuGzJwTpaFaBreEDjqYreY6Zaa7Iko31RacEx4e/DBC/EKQkJOAFckrZEnLRwY/Iq8ZaluQIfsKakrXtQ9rj5bBLWG2mm2qLiiKIrPgnxn+jNvjdEV7HdG7Ze8ae+c2BrHwKbMkE7lluSg3lcvXZk3BOQDVpS0PfVdjoGxfpvr77d+qP3z0PnIyu7bXr9lqlr3eRFBOfN6VmqozphqayJoL8w9D53A1m/B8M+fEedCiWFwGyTxBZM51i+yGLhFd8MXVXyDAJwAbTm5An0/74KWNLzkEB/9I+wMAMDpmtMfGIRbricV7QHUWlH1wblLXSfA3+ON4/nF8vu9zTJk/BeVmNbDx8MqH5WceUH2+cpY1BwBxLdRjO8ucK6oskoEb7WeACMKdKToDk8Vks7gOqM5yU6BAr9NjwQ0LMLy9es0ssud2Zaj3Ls6CcxO7TLSpePDauNfQOaIzekX1gkWxYPWx1U7/LVp7M/Zi7fG1eH/H+7Vu68qm1E14c8ubDu9dRVHw2/HfmmQPLJuylsXuZUZp/x3nkzk3//B8lJnKENc8Tr4GAODRIWpJywXxC5BZkmmTORceEC4XNHojk+tgliY4pynjLsoKi9e2VbGiuFKt3qLNTjboDRjRfgRu630bDHqDy+cRcyelJrUaTlMMzol79f9u/S/e2vYW7lhyh9cWdGjZ33eI+2ntYlOAmXNERBc6BufoklVmKpO9fG7ocYNczepO37n04nSYrCb46n1tJk7EhIFwMQTnALW0m5hEaQhi4rukqgR55XkOmXOAWrv+uRHPAVAni0VAq8xUJifrxESQQW+Qx7QoFof+Vs40C2gGH70PAPf6zn21/yuYrCYMaTMEA6IHyBXCf6S5Ds45y5xTFMVmonve4XkOzyX+rUY/I8IDwtUm4R3Vifa+LfvKwJD4N4tVjOdbTuh8iGClKMWlLQsmiEmPI+eOwGK1eGVc2hvr/Ip8m14dIpCovTl1Jac0R5bEvbX3rR4epXdp+86dT1nLPRl7cDj7MIx+RjnZcLEQk2q1lRYSvTMGtR6EIN8gOXFtX9pyd/puZJVmIdQ/FKM6jHJ5vP+7/P/gb/DH9jPbsTplNe5aehfMVjOu634d3rriLeigw8d7PsYNP9/gdNIguzQbOWU50EGH0R1Gy58JIsupRVALGYgURGlL0dPz9XGvy5J6dS1tmZiTaBNAdJUtKyZ5nE2UyuBcE+o756zfkLYMleg3N7TtUNzT7x4AwDcHv3HIINt4cqM8b1daKvHtwW9rfe76lLU8lncMFsUCX70vAHUhR029TutDTGiJ0lC+Bl+Zfe+J0pa1lbW01yygGR4e/DAA4OnfnsbW01uh1+kxo88M+ZqqrbSlsyCsTqfD0LbqAhNt6dIj547gWN4xBPgE4MlhT7r5r3JNex0hSiI2JSH+IfJzIyEnQQYiQv1DERlY8zXIjT1uRKBPII6cO4KrF1yNf6z5Bz7Y+YFNEFdRFBn8FNfpIts6ITuhxqzHzJJMWBQLfPQ+8vUS5Bskx1XX0pZrU9bWazGRCBBGh0TLoLU499bXnrPVAeWGWuBUVFkk37OixP1tvW9DwsMJmNRlEqosVXj1z1fxjzX/kPtklWThyLkj0EFX42dbXdUYnGthG5wz+hll2dkHVzyIkqoSjI0ZixZBLZB0LgnvbX8PgLpYQSwoEkFTe6Ks5fH84w4L98QkeVRwlMxwBYCWxpbwM/jBqliRVpgmgyrifdKjRQ9Z1eKVMa9gdMxoTOmq9mFekbwCFqsFezPUDHFnVRm0/76hbYbK8oHTYtWFPu6UthSv/eKq4nplZGWXZmPaj9Pw3Prn5LWzsOXUFkz8YSJmLptZ5+M2pHNl52wWsdQrc66g/plzok/4zAEzbRb0DW4zGMPaDoPJasKcXXNkALFni57Q6XQO93YNSXv/oz0PiwytlsaWssyqaFUgrovFON0h7hEB9b0nMrCbAm3PuXJTuayScyzvWL0rR5wP2dbir/uQlHx1gZVYaCX6gbLnHBHRhY3BObpkrU1ZizJTGTqEdcDA6IHypt+dvnOirEWHZh1sVoaN6zjOZpX0xVDW0hsCfAJkb5UDmQfkhX7vlrblm2aPmY2hbYaioKIAt/9yOyrNlfJvEeYfhvDA6hKO2iBDp/BOtWaQ6XQ6mT0nSnmcKTqDnxN+dpj0tlgt+HTvpwCAhwepk34iWLbh5AZ58+cqOKedlDlXdk6u6AXUHhn2k6XaC3NxQyd6HIpsTcC2RxPgnX5zrgxrq06eHcs7huzSbKfBuY7NOsLf4I9KS6VD2Y4lSUvw6KpHYbKYPDoukTln0KnvW5EpqyiK7OGVXZrt0JfL3sLEhbAoFgyIHiAnby5UYhIdOL+ylqInx8ODHrZ5L14M3M2cEyUtxapgV8E5UdLyqi5XOQTFtKJDovHAQLU85o0/34hDWYfQIqgFPp36KZ6+/GksuWUJfPQ+WHZ0mU1WqCCy5jqFd5LnxJyyHBkcEoEUMRmhJcoOAWqPkCs7X4kxMWMAVGdGuEtM+Ihz7PqT651m+4nJJ23AWBjcpgkH5zSLP8R5+FThKRm0uazNZbgu7jqE+ocitSAVm1I32Rznm4PfAKjuMfbpnk9rXaEt/nZiUcq58tqz0sTrcGDrgWgd0hoWxeJ2GV932WfOAY4LU+YdmofwN8Nlb6q6qGvmHAD847J/IMAnQH4OTew8Ea1DWsusFJGl4orM/NZ8fgHV2d/a4JwIPI/qMMoj2cPiNQG47jfX2LSlLbUlLWvLKA/1D8X0XtMBqEGJ93e+j8fXPI7H1zwutzlbchbZpdnQ6/TymrCVsRVimsVAgVJjYFVMvrcJaWNzra4tbemuhQkLcdW8qzDmmzFu94UUtKVYte8F7Xt8U+qmOgXstO/bhgrOiYy8lsEtbYJPncI7YeVtK/HV1Wq277cHv5VB0k1p6rmtT8s+Hr0GFcE5d8paArbXxiPbj8TyW5fj7SvfBqD2cT2ZfxIzlszA+pPrYfQzYvYY5+Vno43RCPUPhVWx2mQdA87P/4CaeS6upbad3iYXRIjsdIPegAU3LsAHV32Af478J4DqMu8bTm7Anow9KDWVwuhndHl9OWvMLEyLnYbPp30u32dXd7saALAmZY1NdqAz2td+fSb1Z/8xW/a9ts/oEr8X+99XY7PPfnQ3E80TmXP7zu7DvrP74Gfwc7rY9bGhjwEA3tn+DqosVQj2DZaVLM6n75y2pG5tFEWptaxlqH+ofF+L8qnyui3U8brNFW1w7rru1zWp6iPaspbzDs+zCVJqS7x7i7g/ntBpAgBN5txfn7WijURWSVajZPaZrWYsTlzskfe7yWLCwcyDcmEbEdGlpMkH54qLizFr1iz07t0bRqMRYWFhGDx4MN555x1UVdV84VmbrKwsPPXUU+jWrRsCAwMRERGBkSNH4osvvnDrw+348eN48MEH0bFjRwQEBKBFixaYOHEiFi9efF7jIu8QJS2vj7seOp1OZgm4kzknVs6JHgiCQW/A9J7qREN4QHidLlQvdWLieNlRdcVn+7D2NpMBgLoCf/4N8xHiF4Itp7Zg8vzJctLXvnySNjhXW0lLQfad+ytzbvqi6bhl0S1yIl3Ymb4TpwpPoVlAM9zc82YA6or2YN9gWSbJz+DnMDEhJiszSzJlppiY7G8Z3BKdwjuhpKpE/g4EkVmnLTl4TfdrUPp8KR4c+KD8WXRItAw6AY0bnAsPDJe/922ntzkta2nQG+RqbG3JOwB4bM1jmLN7juxZJ+SV5+HyLy/Hx7s/rvOYKswVcvJrZAc1eCImtY7nH7fJmKxtsmv+4eqSlhe68y1r2dJYncHiqWyRpkb8XmqbHPnzlBpsEBkDMjh3znlwTqx0r8kzw5+Bn8FPBvE/nfqpzES6pvs1styws4nmhBw1ONczqidaBKvnN7PVLM9TzvrNCf2j+8uvXx79MnQ6XXVwro6Zc2LC59ZetyIiMAJFlUVO+3fIEmMhjplz/Vv1hw46nCk6U6feoA1JljuMdJI5V2SbORfkG4Rbet4CoDoYB6iTXosT1euR7677DiF+IW6t0BZ/OzFp7U7mnAjO9WzRUy6g8HRpS5k5pzmv2AckXvnzFRRUFODXI7/W+fgyc87oXuac2PbefvfK70U/TBmcqyHAU1JVIjOstZ9fQPWkmPa1LIJzEzvb9oatL+0inyYbnGtRHZyzLzNem48mf4QVt67Ah5M+xEMD1TK+y44uk1lK+8+q1+Tdm3eX5d0AuPX6dRXsl6Vn3cxEOVt8Fg+tVMeWW56LL/Z94dZ+cv+/Xj/RxmgZbC03l8tScTvP7MSYb8dg9Dejaw2qAOqiLu2CJtGjytNESUtnASKdToe7+92NuOZxKDeX48f4HwFo+s399VnhKaLMfXx2PCxWC/LL82VQydn4ru1+LbpEdMH4juOx8raVCPYLxh197sDI9iNRZirD4M8HY1HiIvgZ/LD0lqUY2Np5VqpOp5PHt79OdZY5LYhrBvH76NCsA/S66mmXKztfiUeHPip/Ftc8DjHNYlBpqcR/tv4HgPp+d1UacED0ACy7dZnNIsYhbYYgKjgKRZVFcqGQK9rXfl3LTx45d8QmSGH/eSyupd2pQuJN2v6JgHq94U4fVO3v53TR6XotGpx3SK2Kcl336+QiJa0b4m5A65DWMpDWM6qnfG20D61fcO73E7+j3XvtMOCzATWWPhfOFJ2R2XCA87KWYf5hroNzThZVudLS2BIDogdABx1u6XWL2/t5g7h2ySvPkz3xRED1l6Rf3CofqSgK1qSsOa8ehYKYAxDBuZS8FCiKIoNz4rPQZDXZ/P28ZfnR5bhx4Y3oPqc77vv1vjqXvQeAj3Z9hMGfD4bxDSP6fdYPw74chpXJKxtgtERETVeTDs6lpaWhT58+mD17NuLj1d5AlZWV2LNnD55++mlcdtllyM+v34fQ3r170bNnT7z77rtITk6Gj48PiouLsWXLFtx///2YNGlSjcG/VatWoU+fPpg7dy5SU1Ph7++PvLw8/Pbbb7jxxhtx7733NsrqFXJPpblSTo7eEHcDgOpyOYeyDtV6ESsutuyDcwBw/8D7YfQz4tru1zaplWBNnQzO/VWORVvSUqtTeCcsnb4URj8jNpzcgPuW3Sd/7ux4QPWNWG3E5HVOaQ5O5J+QpVrsJ5HFRPOwtsNkRp6vwddmJWDrkNYOf/+o4CjodXpYFIvMzBI3WzHNYnBbr9sAOJa2tC9pIQT5Btk8h4/exyZboTGDc0B10/stp7Y4zZwDqlc8a1e0ZpVkyUl6bdlJAFh9bDW2n9kue3DVxcn8k1CgIMQvRPbfEquwRdacUFPvydSCVGw9vVW9qezZtG4q60PciAb6BMoAdV0E+AQgzF/tD3Zf//vqNGl+oRDvvZpuOrNKspCcmwwdqnsuOsucSytIw6GsQ9Dr9JjUZVKtz902tC3uH3A/ADUYrM0IEI8DzieaReZczxY94WfwkwsexPlHBKvts3wBtWTuTT1uwsz+M2WgYUT7ETDoDEgtSHXIdq3JgawDANTP2Ss6XQHAed852bvEySRPiH+IDES6U3q2oWWVZMnfo7Yfqxj7llNbcK7sHPwMfnLxjyhtuTBhoczSX5S4COXmcnRv3h3jO47HjD4zANS+QlsG56L+Cs650XNOvA57tOjRYME5mTkX4jxzbk/GHjmpfaqo5snGd7e/iwGfDZCTYYqi2GQh1cX/Df8/BPkGIdoYLTNM+rfqD4POgIziDJdZS2JhSfOg5g4Lhga1HgQddEgrTENWSRYqzBUyK1KUnTtf4nfnZ/BrUqW/tLSZczI418y94FygbyCmxE7B34f8HR9N+QitQ1qjpKpEBqftS1oKbgXnCp1ndGj7QtZGURTcu+xe5JXnyfJh725/t04T9LKspTEagb6BsqSheA+vO7EOgLpI6PO9n9d6PJE1JybvGypzTgQzXGVv6XQ6zBygVnEQAUuROSfKKHtKl4guCPAJQJmpDCfyT8hAWdvQtgjxD3HYvllAMyT/PRnr7lgnH9fpdPh4yscw6AzILc+FDjrMu34exncaX+NzO7tOBYDkPOeZcwAQExYDoPr3UVvJcJ1Oh6ld1ew50bfcWUnLmuh1elke035RoT3t9UJde1U9+/uzsCjVpejtg3AiWJdfnu9WUMhbxOt5bMxY6KCDyWqyCSzmledh9h+zHQIqmaXVwTmrYq1XBpu413C1aMPX4CsrsQDVCx4ATcuCOmT6zjs0D5PmTUJRZRGSziVh+dGaXw+AbclYoA6Zcy7Os7X5dfqv2H7f9ia36CTMP0z2dT+WdwxGPyM+uOoDDGs7DGarWfYHrsl7O97DpHmTMO3Haec1H1huKpeLEMbEjIFBZ0CpqRRnS87KTLWeUT3lPVhj9J0T9/cWxYKvDnyF2DmxmP2H80xkZ84Wn8Wjqx/Fnow9qLJUyUXG3x1y7M9MRHQxa7LBObPZjGnTpiE1NRXR0dFYt24dSktLUVZWhgULFiAkJAT79+/HjBkz6nzswsJCTJ06Fbm5uejevTt2796N4uJilJaWYs6cOfD19cXatWvxxBNPON3/5MmTuPnmm1FWVobhw4fj6NGjKCwsRGFhIV566SUAwNdff4233nrrfH4F1IDWn1yPosoiRBujZe+KzhGdEeIXggpzhU3DaGdSC1MBOL/Z6tGiB7KezsIXV9dtZe2lTvwuxYSvmHB0ZlzHcdh09yZEBUfJVYb2gdJ6Bec0mXM/xf8kf34o2/aGRdxkiZW8gnalsLNMFB+9j5xQFJMy2qy42/uoWVhrj6+1KaPhKjjnjPbmKCKgkYNzfzW4X3pkKYoqi6CDDp0jbPt6yEkPzYpkbfaqfXlJcZOSXZpd5wkpscqwc0Rnm1XYQHVwTpQY1JZOsrcgfgEA9e/trBzghaZPyz7Q6/QY2HpgvRcUXN3tarQJaYNnhz/r4dE1DWJyJLc812WPriVHlgBQJ6pFWU/x+s4ozpDZamLSbHi74W73hXznynewbPoyfHWN46RATRPNIqNCTJ6LjDvxvqopc86gN+Dnm37G51dXl80y+hlleUl3s+e0pZL6tuwrgxbO+s6dKf4rc85JzzmgutTmgcwDbj23u4oqizDgswF4dp37r99/b/43ADVrWjs5LF4r4nfcr1U/+Pv4A1AzrcbGjEW5uRxXfn8l4rPj8c2BbwAAd/W9CzqdTmZD17RC26pYHTLntJ8ZrtgE5/669tl+ertbk0fx2fFuPYcIcrnKnPvh0A/y57VNcn6460Psz9wv31vFVcXyM9/dnnNCTLMYHP7bYey+f7fsmRPsFyzfG66y51wtLAHUiUpxfbEzfSc2p21GubkcbULauJ2xXxvxud+vVb8aS+A2JmdlLe0/692h1+lxdawaOBUBCnE9IALcgnj97jizw2X2i8zEtTufyLKWbmTOfbrnU6xJWQN/gz823b0JLYNb4nTRaZkpZq+osghPrHnCZsGPmNwX13/2ZV61Pbte+fOVWstmiuCcOJemFqSiuLK41n9LXYl7oW6R3Vxuc2ffO+Gr98Xes3vx2/Hf5DnGk/3mAPXzSLzODmUdks/jrKSloNPpHK5pekX1wmvjXoPRz4jPpn6GG3vcWOtzi+c4kmt7b+iqrCVQnTkngtXuXL+L0paCyOytC7HwYNnRZTWe17XXC7VlzlWaK2WQbVPqJiw7ugwGnUFWDnGVOadAQX65+4uoj5w74lYGeH2Jv1/vqN6yxKi2tOUnuz/BrE2z8MaWN2z2s//91KfvnLO+pfYeGPgA/A3qtYJ2IYY4X9W2mAVQr7fe2voWZiyZAbPVLDN1P9r9Ua372i96ssmc+6tsbah/qFxcIP629ek5B6jnZdG3tSnR6XQ293b39rsXYQFh8tps7r65NWZcbjy5Ec+sewaAWr1i79m9LrdNL0rHNQuucagSI4jfbbBvMFoGt5RzGyl5KTie99dnbXhn+dnSGH3nxPtjWuw0jOs4DlWWKszaNMvt8s+LkxZDgYL+rfrj+GPHsfVe9fNwZfJKlJnKGmzcRERNTZMNzn377bc4fFidHF28eDEmTFBTufV6PW655RZ89pm6onjVqlVYv359nY799ttvIzMzE4GBgVi1ahUGDVJX7Pj5+eGRRx7B7Nnqao+5c+ciOTnZYf+XXnoJpaWlaNWqFVasWIHYWPWi3Gg0Yvbs2XjgAbU/zL///e96Z/ZRw1qUuAiAWtJSrDzV6/Ry4q+2vnMycy7cMXMOUDOatOVLqHb2gU5XmXPCgOgB2HrvVpkxZ9/f73zKWp4rO2cz8WK/mlAG5+x64olsLMB5Jor25zI491fgrX1oe3Rv3h0DowfCbDXj54Sf5T7Oylq6or05auzMOZFJKCbr2oW1k5OiQlwLddJDm1m0N6P6RsYhOKeZrP79xO82j+04swOv/fmaLBlqT3sjI258E3ISYLFa5ESamKipKTgnSuKKXjkXuo7hHZH4cCKW31r7ylpXvrvuO5z6x6k6lbW5kIQFhMmVqfYBBbPVjBfWv4C/rfwbANtSlWEBYTLwlZSTBLPVjA92fgBALW/kLn8ff0zrNs3p5Ly2P4aWoig2mXOAY3BOlCB0db5yRpzn3A3OnS46jfyKfPjofdCjRQ85obw7Y7dceS23rWUFdkMF5zac3ID9mfvx2d7PHCY0N6VuwrQfp9k859FzR/HJnk8AAG9OeNNme/sJKtGXDFAnfZZOX4rBrQcjtzwXY78di82nNkOv0+OOPncAUD/LLmt7WY0rtM+VnYPZaoYOOvSMUv+2tU1qmiwmOZnco0UPDIgeAF+9L3LKcmrto7M5bTP6ftoXQ78YKlfQO1NprpQTes56zqUVptl8ttaUCVBaVSoX64hghJgEMvoZEewXXOOYnekU3slhQYWYAHfVy1BkzjmbgAeq/747zuyQAecrO1/pscoJk7pOwmtjX8NHk2ufXG0s3Zp3g16nR35Fvizl6m5ZS3vXdr8WAPDr0V9hVawuM+f6tuyLQJ9AFFQUyN5o9lz1QhLfH8o6hKScJJdBjBP5J/D0uqcBqO/z/tH98cRlTwAA/rv1v04naN/c8ib+t/N/eHJtdXlnmTn3V0BAvAbTi9JhVazYflrN/gv1D0V2aTbe3/G+0/EI4v0wsfNEOfkuShh7Uk1lLYXmQc1xXZz6WfbQCrX0Z5+WfdxeeFIXYtHe4ezDNfabq81zI55D/rP5uH/g/W5tL8taajLnFEWpMThnf09TW+YcAIyOGW1TurU+wbkrOl2BIN8gnCw4ibe3ve1yO3fLWu4/ux9h/wlDwGsBiHk/BjctvAmAGkgSvXWzy2yv07VBHfsFHYeyDuGNzW84fI78nPAz4j6KQ7c53bA7vWH6yoq/X/fm3Z1WHBAZ/va9s8TvJ9Q/FEDd+85VmCvkfZyzRR5Ci+AWeHb4s2gR1ALTulVfRzrrOXeq8JTDvSmg9ht85nc1MPTkZU9i671bodfpsf7k+loXHovgnFi8KP6OVsUq+wuGBdiWtTRbzbLCycV0/S9eHzroZD/Am3vejGYBzZBakOq08gOgXtPcsugWWBSLvN8VJU2dmbt3LpYdXYaX/3jZ6eNijiCmWQx0Op2s0nAg84AMxHWO6CwrljRG5px4f4yNGYv1d66XZVvFtVNtxHzHHX3uQKfwThjSZgg6hHVAqakUa1LWNMygiYiaoCYbPfj2228BAGPHjsWwYcMcHp8+fTo6dlQDI999V7e0Z7G99hhajz76KIxGIywWC+bNs/1ALS0tlT3l/va3v6FZs2YO+//zn2pz56KiIixdurROY6OGZ7KY8OtRtc+JKGkpyL5zZ2vuO+eq5xzVn/2Nq33gy5kuEV2w5/49WHnbSodASedwddW2j95H9jWrjShruSltEw5nH4aP3geAehMksl4URZHZVvaZcwOiB8DoZwRQe3BOTIqLmy0ReBM9zLTZBXXJnGtKwbmOzTralB5zdlMqsg6SzlVPkO3LrA6Ou8qcA4DfT1YH56yKFbcsugUvbnzRoWefIFf0h3dGp/BOCPQJRIW5Avsz98u/6QMD1MUVCdkJTifeTheexp6MPdBBh2u6XVPDv/7C0q15N4eSbXV1sS9IEO8t8X4E1BvhCd9NwOtbXgcAPDzoYbw0+iWb/bSlLb858A2O5R1Di6AWshzY+XLVPymzJBP5FfnQ6/TyHOgqOFeXDFCRIbwxdaNbGVciay6ueRz8ffzRNrQterToAatixfoTtourXGW6CA0VnBOTXIWVhQ4lut7Z/g5WJK/AFd9fISe3nvn9GZitZkyNnepQEi0yMNJmEYLoSyaE+odizYw16Nuyr5y4vKLTFTZ/A7FC+4NdHzjNVhOLO6KCo+Q5ttRUKrPKnEnJS4HJaoLRz4h2oepCCRHwqKk0oKIoeOb3Z2BVrDiRfwKPr3nc5bZiXP4Gf0QGVk/Oi8+99SfWI6csR5YHPFtyVvYWs6edSBTBCDHxVNeSljWpre9cTZlzAOTK/53pOz3ebw5Qs7lfGPVCkyv9pRXgEyB/P+L1Wt/g3NiOYxHqH4rMkkysTVkrz7fivS/4Gnzl78TZ69eqWOUiG/tJY5HVdzDrIHp83APN32qOh1Y85PCZ/8nuT1BmKsPoDqPx6NBHAQAPDXoIIX4hSMhJwKpjq2y2rzBXYO6+uQCAvWf3ylX/YvLaWeZcQnYCCisLEewbjDmT5gAA3tr2Vo1ZquL9MKj1IHmt7OnSlharRU6u1nYNPbO/+lkm7o3GdBjj0bEI4t96KOuQrLbgbmUMe+L63h1iEdmRc0fkayS7NNtlRQjA8XrdneBcgE+ALPscFRxVr77lwX7BeOsKtXLPc+ufc1jEBgBVliqbSfyasm0WJi5EpaUSFsWCtMI0ef5+efTL8nrCIXNO87395+mzvz+L5zc8j4k/TJTZWLvTd+OupXcBUKsTjPtunMO1wfkqN5XLxR5xLeLk71a7qEm8h+xLdovgg1iIUdc+YifyT0CBglD/UPk7c2X22NnI/r9sm1LZ2uCcoiioMFfg8i8vx+DPBzssyhLlgGf0mYF3Jr6DjuEdZUbmJ7s/qfG5xbWa6G0m/o7aDCj7spYZxRmwKlb46n1r/bddSMTr45ru18j3d6BvIO7qq75OP93zqcM+FeYK3PDzDcgpy0G/Vv3w3bXqfOOChAUuF42KyjzbTm9zei1kvzhXfM6KoFVEYASaBTSTlQTq2j/SE+w/30SmtVjcUZP0onSZNSgWx+p0Ovn1wsSFHh8vEVFT1SRn0srKyrB1q5rSPGmS834sOp0OV111FQDgt9+cr15x5ujRozh16lSNxzYajRg5cqTTY2/ZsgXl5eU17h8TE4O4uLg6j428Y1PaJuSV56F5UHOM7DDS5jExUaUNDtirNFfKsk2uMueo7rSBTj+Dn8tV6vbCA8Mxuetkhxvt6JBofDjpQ3x19Vc2K1FrIjLnxIXiVV2ukhfo4qYtvTgdBRUFMOgMDquJfQ2+ciWpq5tqkUVjnzknbuSn95oOvU6P7We240T+CZitZvl6cydzzqasZSMH53S66t5bgPPJza4RXaHX6VFUWSQv8LWZq/aTBtrvN6VuQpVF7Q265dQWGeh01Y9KW27LoDfISZ0v930JBQo6hXfC8PbD4W/wR6mp1OkNuAjsX97u8ouytxq5Jt5/2tXLj695HJvSNsHoZ8SPN/yIj6Z8JEsYCuJ1tu/sPszepGbmPz/yead9curDVeacOGd1jegqg0VRQe6XtXTl8naXw0fvg1OFp9zqOycCadrJdRG80K4+Lq0qlc3sXa3AFsc4cu4Iyk3lbo03KSdJZhC6oj1niGwIQQSJzpWdw4TvJuCbA9/Isl5iElRLp9PZLJLQZs4JEYERWHfHOpn18cDAB2wen95rOro3747MkkzcvfRuhyCotldgmH+Y7NFRU/actgycyOqSfbtOuw7O/Xr0V+w4swMBPgHQQYdvDnyDxYmLnW6rDfZqM8dEdo/Jqvbpurvf3fI1Kfaxp80Eis+OR5mpTE481bWkZU20mXPOFmTUVo5M/H23nd6G+Ox46KCTk5uXEm0ZNr1OX+cSZ4KfwU/24py1aRYANdDnbPFITa/fX5J+QXJuMkL8QhxKLA5pMwRvXfEWxsSMQaBPIPLK8/DZ3s+wOW2z3EZRFCxKUqtsPDb0Mbn4pFlAMzw0SM0Qe3OrbdbsgvgFMqhmtpplwFe8bsX7oLWxOjgnSloObTsUt/e5Hf1a9UNRZRHe2GxbWk84W3wW6cXpstqH6E11vsE5q2LFjjM75CRyWmEaKi2V8Df417owbHyn8TbBp9Exnu03J4iKGtrgnAicNaRO4Z3gq/dFublcZvuKz4kOzTo4VIQA6pc5B1QvGh0TM6be2bd/G/Q33N3vblgVK6Yvmu7QKze9KB0Kqj9TaprQ33xKfU+8dcVb2HrvVsy/fj6237cdLY0tbVoBaNWUOSfGsuPMDlz5w5VIyE7ANQuuQYW5ApO6TML4juNRUlWCyfMn46NdH2HpkaX4OeFnrDq2qsZSgrU5lncMChSEB4SjRVCL6sy5v/6eFeYKGYw+XXRavg/KTGUyy+/ydpcDAE4U1C1zThy3a0TXev1NxVjLTGXIr8jHT/E/Ib04HVWWKoee6GKh0aj21ec80cvum4PfuCw1WGYqk591Mjj3199RBFH9DH4I8AmwCc6J31/b0LYX1QK9x4c+jpt73oy3r7DNPhULp5YnL5fBTOHljS9jd8ZuRARG4Jebf8G13a9FZGAkMksyseHkBqfPI/qbV5grnC4QEtfY4hwsrkNE5QqxEFlcEzVmWUsRnBPzN/bX0s4sSlwEBQqGtxtuc91/Uw81Q3f50eVuX+sTEV3omuSnaFJSEqxW9QKsVy/Xzc/FY5mZmcjLy3O5nVZ8fPXNizvHTkxMtPl5XfdPSPB8mRE6P2JS6dpu1zoEdERw7kDmAZc3AacKT0GBgiDfIHljQudPO5HTs0XPOq1qdeXvQ/6OO/re4fb2ohSDcGuvW20mA4DqC+nYyFiHSXhAvYF9eNDDuLf/vU6fQ2bO/TW5Km5Uxb8/OiQa4zqOAwDMPzwf6UXpsCgW+Bn83MoWaEqZcwBsg3NOJjf9ffzlzUVSThLyyvNsJvxrKmtZaiqVJbS0ZUNcTVJpy1oC1ZOJ8w6r+4qggwimOCttKXof1aUkIV0cxM2xeM9aFSvWnVgHQG1s76rMqXg9fb7vc5wpOoN2oe3k5K4nuOqfJIIxouwhUJ05l1WShSpLlXx/1aWspdHPKAMa7pS2FIGvvi2rSw+L0pbi96cdf4hfiCwfZS/aGI0WQS1gUSxulXErN5Xj8q8ux9Avhjqs7rcZY6bz4FyluVKWsIppFoP04nTc8+s9ANQMGlfl3sQiieZBzV1mELUIboGdM3di671bcX3c9TaPBfgEYMENC+Bv8MfKYyvxv53/s3lcBFVbh7SGTqeTJeRyy2sPzmkzTWTfOReZc2arGc+vfx6AWiLruRHPAQAeWPGAHIOWq8xH+9fXHX3ukL8jV33ntKWOLYoFBzMPOkwCeUKPFj0Q5BuEosoih8kkRVFsJlad6RnVE0G+QTJrcVDrQQ1S0q+p0wbn2oe1P6/+eKK0pZistO83J7h6/VqsFry0Uc1gfnLYkw7XQnqdHk9f/jQ23rURhc8VYkYftX/594e+l9vsPbsXqQWpCPINwlVdrrLZ/4nLnoCfwQ9bTm3Bj4fVMq2KosiSxaJv1NZTW1FprpTle0VZS5k5V1IdnBvebjj0Oj3eGK8G5ebsnuO0bJ3ImotrHgejn9Gm39/5mPXHLAz7chie+119j4tFCV0ju8KgN9S4r16nx33975Pfe7rfnCCqVRzPPy4/h+tT1rKufPQ+8vpVBAVrKmkJqH9j7X2Mu8G5GX1mYNn0Zfhw0of1Hq9Op8PHkz/GwOiByC3PxfU/X2+TVW1/reBqQl8bMLim2zW4vN3luLX3rfKaQlQbsb9O137W2gfnxHP5G/yxK30X+nzaB2dLzqJni55YcOMCrLxtJa6Pux5Vlir8ffXfcd1P1+GWRbdgyvwpNhVF6kpb0lKn01Vnzv3V5/bouaOwKGpATluqUdxzBPgEyGuYumbOiddKTf3mahLgEyCDL2kFafhg1wfyMfvFiOKcoW0NcUXnK9AloguKKosw79A8HM46jFsW3YIWb7XAiuQVANTzh1WxIio4Sp5TckpzoCiKDE6K6zLZc64iv9795pq6/tH98dONPzn2SW8Rh5t73gyrYsUTa5+QC6eScpLw7o53AQBfX/M1OoZ3hK/BV/ZlFPeZWqVVpTYlUkXWo5a2rCUAmVFZbi63+V72nGvAspZFlUVOjy8Xn/z1+eYqc+5M0Rm8sP4Fm8UCPyeqJS3F70kY0mYI2oW2Y2lLIrqkNMngXEZG9Q1/mzauV3NrH9Pu48ljFxUVoaSkepWR2D88PByBgYG17u/uuGqSnZ2NhISEOv2XkpJS+4EvQRarRU6u39DjBofHuzfvDn+DP4oqi1zWlBdlW0T9b/IMfx9/OWFRW7+5hiJuNAEg0CcQV3e7Wk4GyOCci35zQs+onvhoykcIDwx3+rjMnCvJQGlVqZxM1WbFzeitThT9cOgHeWHeLrSdW6sSm1xwrn3NmXNA9crnpHNJDv0eXZW1FBMiv5/4HZXmSnmBDzifpLJYLfK9K262xA2o6KVweVt1Vaz424pArJBXnodNqZsAVE8e0qXDvqzlkXNHkFeeh0CfQNlf0RkRDBFZQy+PftnpSvv6EoGQvPI8m+bpYnK1e2R1AEmWtSzLln2Q/Ax+DgsTajMuRl1AsOLYilq3FZlz2r6gw9sNhw46pBWmyRt7EdipqW+JTqerU2nLw9mHUVBRgFJTqew1a6+kqkRm1QK2wbmUvBRYFAtC/EKw5Z4tMsM7zD8ML4923iMEqH6tDG0ztMbrhBD/ELka317fVn3x7kR1sueZdc/Y9OK0z3gUf7+aSuElnnMSnPsr8+hQ1iGUVpU67PPdwe+QdC4JEYEReGb4M5g1ZhYGRA9AXnke7v31XoeMPnHdZD9RFxUcJT+/YiNjMaj1IKd9dGzGm2O7OG5Pxh55/vdkcM5H7yMXZv0U/5P8N1VZqvDgigeRU5YDX72vy4lVH72PTclJT5a0vJBog3P1LWkpTOoyCb56X/m9y+DcX6/fxJxEmd0BAD/G/4ikc0kIDwjHPy77R43P5Wvwxf0D1N5jPyf8LFfpi/PF1NipDtUXWoe0xjOXq32dZi6ficScRGw7vQ37M/cjwCdABrG3nN4iX7N+Bj85qS1K2GYUZ2DrqergHKC+fiZ3nYwqSxVuWngTiiuLbZ5bBOcGtxkMAB4JzuWV5+G9He8BAD7c9SHOFJ2p/vyood+c1n397/t/9u48LMpy/QP4950NGPZ9URHFXXDfLdM0zVIzzSVNrVO2njrtv1bT6nSq0+nUqWNlq5blkmZWlpbZ0dxKc8MNUQFFBQRZBxxg3t8f0/MyAzMwA8PMAN/PdXWFzMw7D8rAO+/3ue8bMQExmNBlgtO/TxwV6R+pVB/KkBHuF2513t6URAgoqrCVcC7MdjinVqmVAEir0irrro8kSZjYdWKjWwT6af2wZvoahPuF44/zf1i1exfVTn4a83UMe5Vzv2f9DmOVEdH+0VZtFgWxRjF7DDAHDiI4AKx/JxmrjEpQvWH2BoT7hcMkmxChj8A3N3+DIJ8g+Gh8sOqmVXjmymcwIG4AhrUbppzvi3nPDSG+n8W/Y83KuZqvHxEgWG4IET/XnJ05JyrS7H2vOEKcF608vNLqfZJlOJdbmquEipabslSSSqmee/THR9Hr3V5YdXgVLhou4q5v70Lx5WJlg1Lv6N7KxuMKUwWKLhfVCuesKufEXM8WNG+uPq+OeRW+Gl/8kv4L1h5dC1mW8dfv/4pKUyUmdpmISV0nKfcVoyrWHl1bqwLsSO4RqwpWW5vdanbXqfk+WqmcC2j6yrnxy8ej01udrH5elFWUKWM/6quce/nXl/HSry9h9LLRyCnNwZnCM9hxZgckSLXGzFi2thQV7ERELZ1XhnPFxdVvRPR6++3oLG+zfExTHlt8XNdjLW93dF11Wbx4MZKSkpz6b/LkyY1+3pZox5kdyC7NRrBPsFKdZEmr1irB0L3f3YuFvyzE54c+t3rTL6p6OG/O9cTOMI+FcxaVkBO7TkSALkBZiwjllHAuynY4Vx/LyjlxUTLIJ8iqZdON3W+Er8YXx/OOY+3RtQAca2kJWL9B8oZwrm9MX+UNnb3ZIOLN8tHc6nCuf2x/ANbhnEk2KX8Wb3h+OvUTNpzYgILyAuXv8ET+iVqzl0QLGI1Ko1wwqflvKC6Si8/XrJz7NvVbVMlVSI5KtjljhFo28eZYvG5F+9vBbQfXWSViubO/a3hXzOszz6XrCvYJVmZdWra2FLtWLecFWc6cq1l95QyxuWXDiQ3KhRtbii8XK8GXZeVcoE+g8vPg96zfAVRfJKtvzo4I5+qbDQtYB3ifp3xu8z41Q3jLCwqWF6jbBLXBT3N/wuRuk/HBpA/qvCh8VXtzW7fGVtjeM+Ae3NjtRlSYKjBzzUzl55poBSl+n4j5bo60tbT8OdwuuB1iA2JRJVfVCjvLKsrw3C/mAPKpK55CsG8wdGodlk9ZDh+1Dzae3FirelFc4OwZ2dPq82qVWrlwM6fXHKvWn+LfvSZxbPF3uef8niZpawnAqo3iiE9G4KdTP2H0stF4/4/3IUHCv8b+S3mN2WLZunRcJ4ZzHUMaF84F+wZjVIdRyp9FeFpTdEA0OoR0gAwZu7PM7d0qqiqU9sGPD38cwb7B9T7fFfFXICEkAcXGYnx9/GvIsqzMurmp+002H7Nw5EKM7jAahgoDpq6aipe3vwzAfG4iLs7uOLND6ZIQExCj/JwVr9uUnBScLjgNCZIym1KSJCydvBRtAtsgNS8Vd357p1UIvuf8n/PmYs2BsHg9Z5dm11kdXJc3d72ptLu7XHUZL217Cccvmn9/WG7uqEtsYCzOPHQG62fanvnrKpYb49zR0lIQAfy/d/0beYa86sCljhb84ry9XXC7eqsPm0L7kPbKRW/Ln+8iUBGvK3vhnGhpeWX7K22eI4T7hUOC+fPid0/NFpeW4Zw4f9eoNBiZMBJbb9uKO/vdiU23bLIaE6FWqfHC1S/g9/m/Y/tftmPlTSsBmM/365qrWpdjedZhc8124LXCucLa4ZxYY15ZXp3nPTXV1xrZEeL3paiiF+eVlv+u4j1LYmhird9Xt/a5FX4aP5QYSyBBwvSe05EYmohzxefw/P+et+pw4Kf1g7/WH4D537PwsvkaSLCP+WeprbaWDZmP2Fy1D2mPx4Y9BsAcdi47sAw/n/4ZvhpfvHmtdZeDYe2GKb9bvkn9xuo28e8l/m13nt1Z6/tbaWv558+ShJAEpY05UL3ZtKlnzp26dAo7zuxAibHE6nvOshJWfH+I9xzHLx63/t3158aSk5dOYsLnE7D0wFIA5t+/tuZeW7a2bOjrnoioOfHKcI6oqYhdd5O6TrJ7MVVcCPrx1I9Y9L9FmL12tjKoGqhuZ8FwzvXu6n8X+sf2r7WDyl0sL7bO7GluUaeEc9mHYJJNyoXchoZzljuma+6IE4J8gpSLO0v2LgEAJAQnOHT8UN9QxAXGQavS1mot5glatRZfz/waX0z9wm6gJS4uHbl4RAnnxMVSQ4VBqei4VHZJ2Z07K3kWAHPbq8V7FgMA7uh7B8L8wmCSTcpFdUG0tEwISVAuklheTAzUBSp/thfOsaVl61azck6Ec1e0s181BwDh+nDlwsULo15wScteS5Ik2Zw7J0Im0WIGsA7nagY8zugd3Rtdw7uivLLcakd+TeI1FBcYVyvMEq0xRdssey0Ra1Iq57L317tOywDv18xfa83eAap3novqGHvhHGCuCPpqxlfKjl575vWZh0v/dwm397u9zvvVR5IkfDjpQ8QGxCItPw3fpX4HwKJy7s/fJ/W1taw0VSoX22tukhAVOL+f+93q858e/FRpw3rfoPuUz3eL6KY8pmagJwK1muEcYA4tuoZ3VVo+11U5Z6gwKOda83qbz7+aqnIOAB4b9hj+fvXfodfq8Wvmr7jm02vwa+avCPYJxnezvsP9g++v8/EiWAnyCbI5Y7A16BTWSTmvbmzlHGBuPS/0jbVdOQdUt7b85vg3OHXpFJbsXYK0/DRE6iPx10F/dei5VJIKc3qZW6AvO7AM+y/sx6lLp+Cn8cN1na+z+Ri1So3Pp36ONoFtcOziMaU93P2D7kev6F4I0AWg6HKR0rrX8ntW/MwVgVhydLJViBihj8CqaaugUWmwImUF3t3zLgBz60yxmUGERf46f+Xv25FWvzUVlhcqbfLuH2T+Pv/gjw+UFmuWmzvqo1FpmryjSK+o6s177mhpKdw/6H50De+KrOIs3L7+dpubX2oS5/aOtrRsCkonCIvzWRGoiO8hQ4XB5iwyJZyLv7LWbYD5NSCCGhG81QyILcM60RIv2j8aKkmFHpE98N7E9+p8fQPm8402gW1gqDA41Erblpq/y8VGxqziLJhkE1JyzeGcCD5sVc4F+QQpG2GcaW1ZX2tkR8QHmX9fipBi8fXm9z2ZhZm4VGae1WurpaUQ6heKz6Z8hoeGPITD9x7GyptWKq1T39j9Br47YT63EB0OxPlabmmuY5VzrSicA4D/G/5/aBPYBukF6fjLevM5zRPDn7AKmQHzOdysJPP71ZqtLcX1hCndpiAmIKbW3LmKqgrlXE/8DNGqtVbP4a7KuY1pG5WPLc+jLV8f4md/YmgiVJIKxcZi5fZKU6Vyru2v9cfv537Hs1ueBQDM6DnD5nMObjsYbYPaothYbPX8REQtlVeGc4GBgcrHBoPB7v0sb7N8TFMeW3xc12Mtb3d0XdT0TLJJCefqCn9evPpFrJuxDi+PflmZQ7Hx5EblhFi0xqt5AkaNN7f3XOy5c4/DVWKuFqGPQO/o3ugR2QPjO5vDoS7hXaBVaVFsLMbJ/JPKvAl7bS3rIy7K5JXlKW/YbPXqF5Vhoj2Mo38nkiRh89zN2HrbVq+ZezMyYaTdeVyA7cq5K9tfqbTcEW82xEl+qG8oOoV1QuewzqiSq/DTqZ8AmGd12GvxJKp3xBsZwPxvIarthrQdooR24t/2RF51BZ6hwqC8OWBLy9ZJvAazirJQaaqsDufqaGkprJq2CksnL6031GkocWFEXHQrMZYo4Zvlzn6rcO7Pig7RGtEZkiQpb6hXHl5p934ivBGBmiURYoiKF0cv8ohjHbhwwO5sWOX5/wzwxAyoFSkrat1HXNC6vvP1AP5sZWkyz56pudveGZbV0I0R6heqnIuIah7LqkcAiPCru63l6UuncbnqMvw0frU2g4gKnJrhnPi5emf/O2u1YRVVkJaz+ipNlcoFUMuND8Kr17yKY389pqxZCeeKaodzxy8eV9rWiXDkaO5RpOWbW7aLC1GuolVr8dSVT+H4X4/j5qSbAZhfN7vv2K2cC9Tl+s7XY27vufj3uH9Dq9bWe/+WyHJea2MqRIQbu9+IUN9Q9IvtV2cYK1pbvv3720j8TyL++r05kHvyiifrrHasSYRzm05uwtu/vQ0AuK7zdfDX+dt9TJR/FFZPW6204BzRfgR6x/SGRqVR1iXaY1q2NYz2j1YqjgDr2bzCsHbD8PJoczXegxsfxPz187H80HLkGnKhUWms2gQ3prXlf3//LwrKC9A9ojveuPYNjOk4BhWmCqXapyE/+5qSZfDgznDOX+ePL6Z+AZ1ah6+Pf61UItdVOSfCmMaEMo2lbDazqBAXv2u7R3RXNqXUrLipMlVhx5kdAOyHc0D1OYUI4eqqnFMqn538+S1JEiZ0mQAASgjuDJNsUjaniGrL2IBYSJBgrDIitzRXee2I8zmxCUvZEOJv/hkkgnBxLaA+pcZS5VzMFZVzYo0jE0YqgY0IPcS/sb3uM1O6T8Hr415X/g7Gdx6PG7regEpTpVKhJX63i04yFw0Xa8+c86s9c641tbUEzD8PXr3mVQDm76+OoR3x+PDHbd53di/z+/nvT3yvBKmA9ZiMkQkjAQBbTlfPnTtbdBYm2QQftY9Vm1vLFrO2Zs7VbDfuCj+crJ77Jl4bAJT2+GLeHGAeUyK+N8Vmt2MXj6G8shyBukD8OOdH5f29BMnmmBnAvGlGVK4/sfkJ5bmIiFoqrwzn4uKqd3FnZWXZvZ/lbZaPceWxg4KCEBBQ/eZOPP7SpUsoKyuz+VjLxzu6rrrce++9SElJceq/devWNfp5W5rfs37H2aKz8Nf6Y2ziWLv389H44IZuN+D/rvg/LJu8DLEBsSivLFfmQijhHCvnWhyVpMK+u/Zh/137lYuRWrVWueC09uhaGKuM8Nf6N3gnbKhvqHKheFfWLgC1K+cA4NpO11q1pbR1H3u6RXRTdvI3B+LiT3ZptnJBqF9sP6sgQdwOVL+xH9NxjHKMpKgk9IruhaRIO+Fcfu1wTpIk5cKF5dyn2IBYhPmFoUquUobIbzq5CWWVZWgf3N5m0EAtX0xADLQqLarkKuw5twenC05DJamUyo26DGk7BHN7z22yqoKalXPiDXGkPtJq/qV4TRWUFygXYxoSzgHAjCRzOLcxbaMyR6YmyzkmNYnKud/P/Q6TbHK4cq5LeBf4anxRWlGqvK5tqTJVKcGbqKCpuXMZqL6wNanrJGhVWlyuuqxcvKw5p8ZTRKj7beq3KKsoq93WUlTO2WlrKS4kd4voVqu9mqiCEy2HAHOFjqiaGNF+RK3jiX9Py+rFtPw0GKuM0Gv1Dm0mESGsrco5pQIvqieiA6LRLqgdZMjKv4erK+eEtkFt8fnUz5H+t3QcvPugw1VDPhofLJ28VKkKbK1eu+Y13D/ofiXoboyYgBgc/+txbJm3pc77zeg5A6MSRqFtUFvlgl+PyB64e8DdTj1f5/DOGNJ2CKrkKny0/yMA1W216jK03VAsmbgE8cHxeGHUC8rnReAmLsBahnNatdbqYqutcA4AHh76MKb1mAZjlREf7PsAc74yB4jJUclWgbm98576lBpL8fpO81zLp698GipJZfU1AHWHT55gFc65sa0lYK7gFIEpYN70UddmkrsH3I3nRz6PJ6940h3Ls0lsNssozFBCFss5YZYX9S0dzD6IostFCPIJqnPUgGWFleX/xYxRy3CuMZXP4mfKt6nfOh0+ZBZmoqyyDDq1zqoCSQQKxy4eU86HxPPYamsJVG/MdXTunNhQEu4X3qhRA5bhnKhwtdyoBAAHc+xXztnz73H/Vn6W6NQ65f2YmBuZa8hVRnuI6l7xdRgqDMrGR1ubTFu6m5NuxlXtr4JKUuHt8W/DT+tn8349InsgKSoJFaYKfJ/2vfJ5yzEZI9uPBAD8kvGLcrv4nowPjreaOS/Cfr1Wr3xfit8nFaYKXCqvDgBdwVhlxM+nf661LqD260MQHTtEhbHoYtEnpg+GthuKlTethE6tww3dbqjz58HDQx9G26C2OHbxGEYuHalsKiQiaom8Mpzr3r07VCrz0lJS7L/RELfFxMQgLMyxE56kpOrdvI4cu0cP6/Y/zj6+Z8/arX2cFRUVhZ49ezr1X6dOtQc3t3Zv/WZu3zCx60S7J1A1SZKkBACiNY3S1pKVcy2SJEm1dr6LNzriwm5SVJLVibKzxxetyMSuVFsXMnVqHab3mK782VPVhO4Q6BNodUE+PjgeEfqI2uGcRUscALim4zXKY2Ynz4YkSfVXztVorfnosEcxMmEkbu9b3X7OMrQ7lHMIsiwr1UE3druxyds2kXdSSSpld/Dyg+afBb2ieym7iT1JqZz786Kb2CVeM1wI9QtV2jaJYKUhbS0B8wWH5KhkVJgq8NXRr2zeR1TF9Y2p3bYqKSoJvhpfFJQXIC0/zeqCYV00Ko3y+qzZVtHSifwTMFQYoNfq8cQVT0Cr0uJQziGrCgKTbFICvL4xfZVdyKl5qZBluVYrLE8ZGDcQ7YPbo7SiFOuPr1d+JopgVZk5Z6etpa15c4JobZaal4qC8gIA5p+XF0ouQKfWKSGqJVG1c+DCAeVC6eGc6paWjvx+tGxrWfNiq7LeiB5WaxSaKpwT2oe0h4/Gp0mfoyUa3XE0/jP+Pw6fY9cn0j+y3p+vkf6R+Hnezzjz0BkYnjbA8JQBh+451KA1zO01V/nYV+OL67s4FjLe2udWZDyYYRVk16yorvk9azljZ3i87XBOkiSsuGkFNs/djLv636VcMK/ZarMhlXMZBRl4cvOTyCvLQ6ewTspmiyFthygBRVxgnFf8frPULaKbEibYqtBtan8b8jdc2+laAOaqlbpmyYXrw/HsVc969Pw9zC/MasYhYD3f1d6sKrE5Y1i7YXV+jaLCSlTMid9NosLMZuVcA2aGju44Gr4aX2QUZjjdvnVrxlYA5lDDsq24eN+x8aS5K0ZMQIwyh08EEDXDBzFP09G2lq6YNweYN6pIkNA+uL3SWt9yk0yVqUr593UmnOsQ2gFPDH9CeZx4/2uzraXO/LMgyCdI+R0vbmttbS0B88/nDbM34MT9J+qtsJ/UxTyqQrSBzynNQU5pDiRI6BHZQ6mc23mmeu6cMvqixs8PEc51DO2ovB/11fgqM99qBu2NJWbNCZaVc8rrw9/695vY1CE2CoquOOK9wMSuE3H+kfNYPW11nc/dLrgd/nfr/xAfHI/UvFSMXDoSqw+vxgv/ewE3rboJ89fPh7HK2LgvkIjIS3hlOKfX6zF8uPmNyg8//GDzPrIsY+NG88nU2LH2q6Bq6tKlC+Lj4+s8dmlpKbZt22bz2FdccQX8/PzqfHxGRgaOHj3q9Nqo6RzOOYzPD30OAHh06KNOPVYEAD+d+gklxhLlDYgnZwiQe9WcQdbQeXOCeKNsuSvOFtEKA3Cucq45sqxMEW+ORYWcvcq5UR1GwUftA7WkVmbQOdPWEjBXy2yZt6VWICCO82vmr5i1dpbSDs9e+w1qHcTrUIS19c2bcxd7lXOW8+YAc8AoLrqIYMvWIHZHiXa1tlpbFpQXKMGXrdafWrVWea3/lvWbcsHQkVmZyty5OsI5cVuv6F6I0EcoF7S/SPlCuU96QTpKjCXQqXXoGtFVCTNT81JxrvgcSowlUEtqu/My3UWSJKV6Tmw00qq0SsWcuGhvr62laMdsK2SM0Eco5zN7z+0FAGzLMJ8DD4wbWKulJVC9QSXXkKtcnBE/c3tGObYpTfzMLTGWoPByodVtNcPEmuGcZdURkSU/rV+DN0/NSJqhtKgc32m8U20xaxrcdrCyEQKwbvsFVJ8HxgXG1Xl+p5JUuLrD1Xh3wrs4/8h5HLvvGJ676jmr+1ie99RVVSTLMl7c+iK6vt0VCW8mKD9LnrziSavQ4h+j/4EQ3xCvnK/ro/HBqptW4ZMbPvHIXGWVpMLSyUsxO3k2Fo5c6PbnbwjL1paGCoOyicOqcq7GrKr65s0JIpxTZs79+R5ZnNNbzqAToUFDNlfotXpc3eFqANWtLbNLsjH0w6G4ec3Ndh9XUVWBF7aaq0HF+wRBBEo/pJmv5yRFJSlBSEZBBmRZtl85V+BY5Zw4F2tsa9NuEd2wZd4WbJm3RQnQLNtLp+WnobyyHHqt3umZn09e+STevPZNLJmwRPmcZegqfj+LoF4lqRDqW92RwV/r77I23s2No3/fYo7892nfw1hlVDaJdQztCH+dP7qEd0FMQAwuV13G7rPmTW1itlvNmfNjE8ci2CcYU7pNsfq8vddyY4mRDuL9hOXMufMltdtaWt5XqZy7YK6cE+f8gHnjgCMzuDuGdsT/bv0fEkISkJafhulfTseCXxZgzdE1+GDfB/jXjn819EsjIvIqXhnOAcC8eeYB8Fu2bMHu3btr3b569WqcOmU+MZo7d26t2+2RJEm5/4oVK5Cenl7rPv/9739RUlICtVqN2bNnW93m7++PqVPNF2ffeecdFBYW1nr8K6+8AsA8b27y5MkOr42aznO/PAcZMqZ0n4L+cf2deqyonPvj/B/Kzp8Q35BWeyLaGtXchdjQeXNCzTZy9i7MDGs3DFO7T8WkrpNadOUcYF3R0S/GfPIepTdfgBVv6GtWzoX4hmDTnE3YNGeTEnCKC8OWLXxkWa5ua+ngRXZxMeP9P97HipQVUEtq/GP0PxyaL0Ytl/g+ExegvOX7QQQdSuXcn2+Ia4ZzgHVrS6DhbS2B6kHum09vVi7OCdszt0OGjE5hnWq9cRcGxQ1SHi8uADmyA1sJ5yzaKtaktNGJNt9XXJj7/NDnygVs0Q6qZ2RPaFQadAmr3u0rquYSwxKhU+vqXVNTEy32tp8xt9iODYxVQgilraWdyjnx/WCvPefAOOvWlvXNU9Rr9crOaNEWVFQziBZ79dFr9UqoWLO1pWVbS8A6nAvxDbEZGBI1VphfmLLh4NY+tzbqWAG6APSNra4YrhlIxAWYw7lh7YY5XI2vUWnQNaJrre4OXSO6QqPSoPByYZ3t9lJyUvDslmeRmpcKtaTGsHbD8Oa1b9b6WpOjk5H7WC7evu5th9blbhO7TsS8PvM89vxR/lH4bMpnTTZD1tUsNxiKDTwBugAE+wQr35eWlXOyLCsbNOoL55SZc6KtZY1wrrSiFGUV5jEgF0obXjkHABM6V8+dKzGWYMIXE7Dr7C6sSFlht7X2J/s/QVp+GqL8o/DA4AesbhPhrggOekb2VM4/yirLcNFwsXblXKh15dyus7sw7MNhygbgmkTlnCvaw16VcJVV1x5xHnQ49zD2njdvrGlIZxedWocHBj9g9fPKMpwT76VEW0sAVi062wW3Y0eRegxsMxDR/tEoulyEbRnbrObNAebrk8rcuXRzK+f0wnQAtSvnukZ0Rf7/5WPRqEVWnxcbV21VzsmyjIPZB+2+TuoiKkvv7H8nAPPMY1GtZq+tpWXlnEk2Ka8xy+8xZySEJOB/t/4PQ9oOQVJUEub0moO7+t8FAHhh6wtWgSERUXPl1eFccnIyZFnG1KlTsXnzZgCAyWTC6tWrMX/+fADA+PHjMXr0aKvHLly4EJIkQZIkm+Hbo48+ipiYGBgMBlx//fXYu9d8QmM0GvHOO+/g2WefBQDceeed6NKl9snU888/D39/f5w/fx4TJ07EiRPmE6/S0lI8//zzePfddwEAzzzzDEJDQ2s9ntzrj/N/YM3RNZAg4fmRzzv9+NjAWCRFJUGGjA/3fQiA8+Zam5rhXGNb6dRsI2cveFNJKnw5/Ut8PfPrBu8Eby4sLxqLAN3uzDmLN/Yj2o9QdtMC1i18RPVFflm+cuHf0R2llgFsx9CO2P6X7Xjiiiec+6KoxakZpNtrR+Zu4iKTqD4TYYytC0I1q44a2tYSMAdXA+IGwCSbsObIGqvblJll8bVnlgmD2w4GUN3qJ8gnCIE+gfU+r0OVc38Gd+JiwIQuExCgC0BGYQY2nzafU4pgSbRptLyg4C0tLYVBbQZZBZeWoWpdlXOyLNttcyqIcO73c78DcKxqwnLXPuB85Rxg3dpSKKsoUwIGW5VzDb2wS+SI9ya8h0P3HFIqHRrDcpac5cw5AJjcbTLaBLbBX/o0fk6hTq1TWmq+/8f7du8nKoRGJoxE3uN52P6X7Xhg8AM2zy8dqWig5kGczx7KOWTV0lKSJJttLdPy05Bdmg2dWqfMJLVHaX9osJ451ymsk1I5KjaNNKZyDoDSZnbn2Z24YcUNVnNSLdtVC+WV5Xh+q/l9/5NXPFmrErZm5WVSVBJ8ND7KazWjMMN+OFdwGukF6Zj0xSTsPLsTf/n6Lzbbyp7I+7OtZSMr52xJCElAkE8QjFVGrDq8CgDQK8rxlpZ1sdnW0qLFreUs49Y4b85ZKkmFCV3M4fL64+uV71fLTjxi7tzH+z/GA98/oATktjbw2vqZbeu1bJJNWHt0LQa+PxC93+2NG1c6Vw2dXZKtBGuzk2fDT+MHGbLyc8TuzLk/zzVPXTqF1LxUFF0ugo/ap1Hzm+OD47Hz9p04dM8hLLtxGd65/h1c1f4qlFWW4cGNDzb4uERE3sJrr/ZqNBqsX78eCQkJyMrKwpgxY+Dv7w9/f39Mnz4dRUVF6Nu3L5YvX+70sYODg/Htt98iPDwcR44cwYABAxAUFISAgADce++9MBqNGDt2LP7973/bfHyHDh2watUq6PV6bNu2DV26dEFISAiCg4Px3HPPQZZl3HbbbXjsscca+9dALrBgywIA5l3zzlw0sjSmg7l6Tpz8ct5c6xITEKPM9AFc19YSMLcma+r5Oc1B98g62loabLe1tKdma8tdZ3cBMF/M1mv1Dq1nUJtBmJk0E38d+Ffsv2u/EiJQ62YZpCeEJHikrZYtIrS5VH4JpcbS6raWNsIYV4ZzADCzp7nSxLJdJFA95+XK9vYDHjHPTOzmdXRuSXJUMiRIOFd8DjvP7Kx1uyzLVgPoAXOl1pxecwAA93x3D0qNpdXhXHQd4Vy4d4Rzlq0tAet/N2XmnKF25Vx2aTYKLxdCJamUmXo1iQuwv5/7HRdKLuBE/glIkDCs3TC761HCuewDMFYZlQoBZzav2ArnxE7rML8w5WJTmF+YclGUvy+pKflp/Vw2y8yy8rRm9fD4zuNx9uGz9c4qctSDgx8EALy39z2r+UCWfjhpDuemdJtiVQVDLZtlW8uas11ttcITmzMGtRlUb5WyvbaWUf5RtTaNKDPn6jmHtyc+OB69onvBJJvw8+mf4afxUy72i0okS+/teQ9ni86ibVBb3D3g7lq31zzfEK97cZ534MIBXK66bLXmdkHtoJJUKK8sx5hlY5BryIVKUuFy1WXcsvYWXK68bHVMV82cs0WSJGXz6IYTGwA4N2+uLrbaWoqZZkCNyrlWOG+uISZ2mQgAWJ+63uaYjGsSr4FKUiGzMBNv/faW3Vnp9ojzJfFaTs1LRa93emHqqqlKZeW2jG21qud+y/oNd6y/A4//+Dje3PUmvjr6FYovFwMANp3cBMD8vjw6IFo5ZxNz55S2ljU2n8QFxkGv1aPSVKls3EuOTq5V9d0YkiThv9f9FxqVBuuOrcN3qd+57NiOOlN4ps5W0kREzvDacA4AEhIScPDgQSxYsABJSUmQJAlarRb9+/fHa6+9hl27djW4Mq1///44fPgwHnroIXTu3BkVFRXw9/fHFVdcgffffx/ff/89fHzsD4O/7rrrcPDgQcyfPx8JCQkoLy9HaGgorrnmGnz55Zf46KOPWOLvBXae2YnvTnwHtaSuNaPBGdckmufOiSG9rJxrXSzfAEX7Rys7ChvKsuKhXXC7Fl8V54h+sf3QNqgthrcbrlwsqFU55+CuW9FWTYRzr+54FUB1Cz5HaFQafDH1C7x13VsOVfJQ62C5Q9hbWloC5h3NYlf4b1m/KbPSbFWKinaxgPlii7/Ov1HPPSNpBiRI2Ja5TWktY6gwKLvaRUWHLR1COlhtfHA07Az0CVQC/WEfDUOfd/vgrd1voaKqAoD5goG4aGZ5of2l0S+hbVBbpOWn4YmfnlBm4omf7yKcSy9IVyrvvKVyDqhubQnUCOf+bGtZeLlQ+TsQRNVcQkiC3Qut/WL7QYKEzMJMfHX0KwDmC5WWu+NrEtWGB7IPIDUvFZWmSgT5BDnVJlVc1LMM50RLyx6RPazOo0X1HMM5ai6uiL8CKkkFP41fk89JvL7L9egc1hkF5QX4ZP8ntW4vMZYolRjXdrq2SddC3qV7ZHeoJTUulV9S5lmJn70idLKsthFtjetraQlYtLWsUTkX6R9pVX0FVIcGjfkZLlpbqiQVVty0ApO7TQZQu3KuxFiCv2/7OwBgwYgFNn/31TzfEJXaolJpd5b578qylbJWrVXOA09eOolo/2jsvmM3IvQROJB9AAt/Wagcr7C8UHn/0hSVc0B12+4Kk/n3vsvCuXoq5xjOOW9MxzHw1fgivSBdOT+u2aVly7wt+NfYf+HJK57EHX3vwIIRCzC07VCHjq8E7X++V35o40M4nHsYQT5BePrKp5EYmggZMrZnbrd63APfP4AP932If+74Jx7c+CCmrJqCzm91xgd/fIANaebQd1ziOABQ5hOnF6TDJJvsvi9XSSrlfHrFYfPMdjGywpV6RvVUNqbc//39SgtddzhXfA7xb8Qj4c0Epc0nEVFjeP0V4cDAQCxatAiHDh1CSUkJioqKsGfPHjzyyCPQ6WzPAFm4cCFkWYYsy0hISLB77OjoaLz++utITU1FWVkZLl26hG3btuGOO+6ASlX/X01iYiKWLFmC06dPo7y8HLm5udi0aZMyk44875ktzwAwz45ozK61Ee1HKEPigeqTE2o9xBuexs6bA6wvqtqbN9faBOgCcPKBk9gyb4vyOfGmX5k5Z6OtpS3iYvzh3MPYcWYHtmZshValxcNDH26KpVMrYvl6vaKd94RzkiQpF0hEy8aOoR1tzkqz3LXeJqjh8+aEtkFtlVkZYu7K7rO7UWGqQFxgXJ2bWSRJUqrnAOcu8iyfshzTe06HTq3DgewDeOCHB3DfhvsAVLe77BbRzapaNsQ3BB9OMrenfvv3t5X2iaIKLMo/CkE+QZAhKxV53hTODW47WLmgaBmChfqGQoI5yKq5K1pUANqaPygE+QQpVZZv7n4TQP0XZsXf2fGLx5ULTUlRSU5tTBMXOUU1B1DdjrhnpHWnA3FxSFRCEnm7mIAYrJuxDl/N+KrJ51aqJBUeGvIQAODfu/6NKlOV1e1bTm9BhakCHUM72q2gpZbJV+OrvAcWF9vF79qaF/QBYMeZHQAc24BUM4ATIV2kPtKqcq68slyZc9uY1sT3DLwHYzqOwac3fopJXSdZzdOz9N6e95BryEViaKLd+ZGiehAwn9uJ8KlmOFczeBDnND5qH6ybuQ4D4gZgyYQlAIBXtr+ihJuiai4mIKbJNvmJTTKCK96jArZnzlmFc77WM+eofv46f4zpaO7EJEOGj9qn1s/iEe1H4OGhD+Ol0S/h/UnvY9GoRQ6fUykz50qzceziMWw4sQESJPw+/3e8ePWLGJUwCkB1ZSxg7rbwW9ZvAID7Bt6Hm3rchISQBGSXZmP+N/OxIsUcrIkNHeK1kVGQgUtll5RQ2FY1rAjnxEbZhs6bq89zI59Dm8A2OF1wGssOLHP4cVsztiL5nWT8kv5Lg55XhJzhfuFeMZeaiJo/rw/niBqqylSFqxOuRpR/FBZctaBRxwrQBWBou+qdS6yca31mJ89GlH8U5vVu/BB6ywvi9ubNtUY6tc6q5YVl5Zwsy8oOVGfaWv7j138AAOb1nueSIIJaN8tKV2+qnAOqd4GLcM7WvDnAuq2lM1VOdRHtIj89+ClkWbaaWVbfhYXBbapbxjpzkadPTB+svGklzj9yHv8a+y8A5nlLW05vqdXS0tLYxLG4u391i6s2gW2UyjNJkpS/tyrZfHHb3pw2T1BJKjx1xVOI0Efgus7XKZ9Xq9RKlZuY7yOI+YP1hYxi7py4f13tSAHzJpNwv3BUyVVKy++agVp9bLW1FOGcqGIQbutzG47/9TgeH/64U89B5EkTu07EuE7j3PJcc3vPRZhfGE5dOqXM8RTEvLlrE69lZ5dWSIRY4metOF+wnFMlyzIuGi4qvwOGtB1S73FFiJNXlocSY4nSUjXS3zqcE+fvOrUOIb4hDf462ga1xY9zfsSs5Fnmr+vPMColJ8Wqvdx3J8wt7h4c8qDdVnqxAbHKphbLCnuxAVeECjXDxIldJsJP44ePbvhI+Tu6sfuNuK3PbZAhY+aXM5Gal9qk8+YEsUkGMJ/LWFa0NYb4tzNUGJSqSstWuJZV9aycc5xobQmYz3FcOdvT8rX8n93/MT9f14nKOa3oYiFazgPAT6d+ggwZSVFJePu6t7F62moc/+txvD72daWNaZBPkFK9J65ZZBRmKC0t7YVTNTeEiZEVrhagC8BtfW4DUD032RFfHPoCKTkp+OzgZw16XhHCW86WJSJqDIZz1GKpVWo8PeJpnHnojEuGFV/T8RrlY86ca30GthmI7EezcUuvWxp9LMvKufggDtK2R7zRuGi4iLyyPKVtRH3tocRF3QslF/Bt6reQIOGx4ZwBSo3nq/HFW+PfwoujXqwVHniauEAidsHaq5SyfP00dt6cMKX7FPhqfHH04lHsv7BfCefqamkpWFbONWSGX5hfGB4e+jDuGXAPAGD+N/Ox86y56q1vjO2duv8c+09lk03NNlCWoWaUf5TLLna5yj0D70HuY7m1dsiLi2k15845UjkHVIdzQn3hsyRJyq59MZfE2VldtsI5y7aWNZ+vS3gXtoEmssNf569sPHh91+tWt4l5c2xp2TrVnJUtNsKIzW6Xqy6j8HKhMqO5W0Q3h373iY0tQHULZa1Ki2CfYET4VYdzyrw5/2iXhsNdw7tCq9Ki2FiszMEyVhmVc4DRHUbbfaxWrVVmQVr+7hIBhEk2AahdOffQ0IdQ+EShEhAKb1z7BrpHdEdWcRZGfDwC646vA9C04VxSVJLyO9FVLS0BcyAjOgaJikd7bS1dcY2ltZjQZYLysauqHAXxWj5dcBpLDywFUD2LFKjecLX3/F6UGksBABtPbgRQ3ZkAMAfoDw19CGkPpOGlq1/C6mmrlYBbBNcZhRnKa9pem1rLc2m1pK71M8iVxLmoaFXvCPHzIi0/rUHP+esZczjnbRs1iaj54jtcavFcVWpuGc6xrSU1hl6rV3aOsnLOvnB9OCRIkCEr1RTBPsH1Dqj31/lbzdq6qcdNdquIiJx178B78fSIp72u+kAEW+KCkr2Kr6aonAv2DcakrpMAAB/v/1hpi+XIzJqBbapDocbswP7H6H+gTWAbnLx0Utk1b68FYoAuACtvWonBbQbjvoH3Wd3WJaz6Z4U3tbSsj5jdd9Fw0erzjlbOiZlugPkcx5GgVOzaF1WGDa2cyyrKQqWpEllFWcqFEmePRUTAfYPug1alxa+Zvyo7+9Py03Dq0iloVVqM6jDKwyskT6gZBIjftXqtXgldskuylXbOw9oOc+i4GpVG+d0jztMj9BGQJElpeXnRcNHhmdHO0qq1yu82MXduz7k9KK8sR4Q+ot7fe6JNn2VwUHPcgK0126rGC/IJwi+3/oI+MX2QXZqtVJQ35fsPP62fsvHGleGc5b+fYHfmHNtaOiwuME7ZCNUrynX/XkD192l+WT4MFQb0ju6ttJwHzN/X7YLaodJUiV1nd0GWZZvhnBChj8CTVz6JsYljrY4BmGfO1RfOWW4I6x7ZHX5av8Z9gXUQ3/spOSm1Wjrb05hwrvhysdI+f3g8K+eIyDUYzhE5aGCbgbhnwD1YMGKB1QwbooYQ4VF91QytmUalUXblijfd9bW0FCx3wT55xZOuXxyRl6l5gcSRyjlXtnq9JdlcVfzunndhqDAg1DcUPaPqD1gi9BHoH9sfWpXW6corS8G+wVh8/WKrz9U1n2xgm4HYdccuXN/leqvPW15I6x7RvcHrcTfxs9KyrWV5ZTnSC9IB1N+es09MH6XFkiOhKmDdUgtwvnIu2j8aGpUGVXIVzhefxyvbX4FJNuHK+CuVigYiclxcYJzS4WHa6mk4fem00tLyyvZXIkAX4MnlkYfYq5wDrNvh7Thr3lgzrJ1j4RxQPXdOVD2LcwxRzZ1ryK2unHPwHN4ZIngUc+dE274R7UfUu4nq71f/HX8d+Ffc2P1G5XM1N006EyhG+Udhy7wtVi1BGzPz3hGiVeL4TuNdelzRslSwFc6F+YXxmoiT3rz2Tdza51bc3u92lx63ZleZh4Y8ZPX9L0mSUj23LXMbUnJScK74HPw0fvW2MRfEa+Ns0VmcLToLAHbP1SzPpZuqpaWQGJoIP40fyirLHArbZFlWzo2zirNQVlHm1PPtztoNk2xC++D2Der4QURkC8M5IgepJBUWX78Yi0Yt8vRSqAX4cNKHWDJhiVNvgFsjcdFAtKpwdJB8n+g+AMzzpZpqCDWRN6n5BtFeGGN5wcVVbS0BYFyncQj3C1cGxF8Rf4XDLQg3z92ME/efaHQgM6nrJEzvOR2AuSpQXBx0huUFheZUOWc530dIy0+DSTYh2Ce43p+dflo/5QKuw+FcTHU4F+4XXm/L4ZrUKrXyfbs7azeW7F0CAHjuquecOg4RVXt93OtIjkrGhZILGPfZOKxIWQHAPG+OWqcOoR3gr/UHAIT4hliFtCJ8Olt0VmmLbTlnvT7inEJUzomwzvJ3Unbpn5Vz/q6tnAOqK5BqhXPx9bfVHtVhFN667i2rgClAF2BVGeZstV+Ibwh+nPMjru98PWIDYh3+fdpQL179Is4/ch5XJVzl0uNaVs75anytOhH1iOwBlaSq1Q6b6je03VB8fMPHjZq9aIuvxleZExftH42ZSTNr3Ue8JrZmbFWq5kYmjKy3I40QGxALrUqLSlMl/jj/BwD7r+lg3+rzTnst5l1FrVIrIb0jrS3zyvJgqDAofz516ZRTzyeq0tnSkohcieEcEZEH9Inpg/n953tdazxvIy72Hsz5M5xzcNftg0MexPMjn8cnN3zSVEsj8iqWLSEDdYF2wxh/nb9ykc5VbS0Bcwtpy4sBjsybE4J9g13W4vet8W9hUtdJWDhyYYMeb7nLvTmFc6K1mOXMOTEDqGtEV4d+17xx7Rt4aMhDmNN7jkPP2SOyhzKXJikqqUG/z0Rry8d+fAyXqy7jivgrcHWHq50+DhGZhfiG4IdbfkD74PY4kX8C289sB8B5c62ZSlIplew120eL8+ofT/0IQ4UBIb4hTv3uE+fpSjinrx3OuaVyLvsQKk2VyoVzZ85BarJsbdmQVpwBugB8O+tbnH34bK32kK6mVWtd3i4UsN7IZVk1B5i7v5z+22l8NeMrlz8vNZz4Prh34L3w0fjUul1UyO06uwvfpn4LwHZLS3vUKrVSdSvmU9b1vTe+83j4qH3c8rtHhPQHsg/Ue9+MggyrPzvb2lL8TmU4R0SuxHCOiIi8lnjTn5KTAsDxyrlQv1A8e9WzbI1GrYZl5Vx9YcwDgx/AuMRxdbZ9bAjRTg1wvPrK1aL8o/D1zK9xR787GvT4IJ8g9IzsCV+Nb5Pv9nUlJZyzaGt57OIxAI6HjCPaj8Dr4153eBe1Tq1D90hz68+GzogT4ZxoMfTcVc9x0wpRI8UFxmHjLRuVnwtxgXGNahtMzZ+ojK7ZAltUvnyT+g0AYGjboQ5XvQPVIY6oPrEVzimVc00QIomv63jecfye9TuKjcUI8glq1Aw2y81CjVmzM3+P3sYynBMVWZbig+ObdI4YOe/pK5/GjJ4z8MDgB2ze3j2iOyL0ESirLMP/Mv4HwNz1whkiuD5TdAZA3a+P9ya8h/OPnHfLRjfRycGRyjkxb05wJpyrNFUqszmHt+O8OSJyneZ7xkBERC2eCOdKjCUAHA/niFqbYN9gBOoCAdQ/y/Kl0S/hh1t+gFatdekaBrcZjGk9pmF8p/HoH9ffpcd2p623bcWRe480yS7/pmKrreXxvD8r55pwtunVCeYqt5EJIxv0+PigeOXj4e2GY3SH0a5YFlGr1zWiKzbM3oAekT3w+LDHGXq3cqMSRgEABsQOsPq8+D2XX5YPwBzOOUNUhsmQrf4swp2Lhos4X3ze/FxNcA7fNqgtgn2CUWmqxJI/zK2Rr4i/AmqVusHHbGzlXEtgWfFXs3KOvNOc3nOw4qYVdltmSpJkVe0VHxzv9PlhQkiC1Z/r2gSrU+sQ6hfq1PEbSoTxDoVzjaicO5h9EKUVpQj2CXZorjYRkaM0nl4AERGRPTXfyDeni+VE7tY2qC2OXjzapGFMXSRJwqppqzzy3K4U5hdmNXOmOQjXN75yriH+PvrvmJk0E4PaDGrQ4y2rOFg1R+Rag9oMwuF7D3t6GeQFZiXPwoC4AegU1snq8zXDJ2dnYdecNSpCOfE7qcJUgRP5J2w+lytIkoTk6GT8mvmrMl/RkXlzdRHhnEpSWVWQtSaWM3uDfWtXzlHzNCJ+BNYdWwfA3NLS2XMuy+Aa8J7wWlTQZhRmoKC8oM6ZfqJyLlIfiVxDLtIuOR7Oiba5w9oNa9aVsUTkffgThYiIvFbNN/2snCOyT7Qta85Va9Qw4kKamDkny7JbKuf0Wj0Gtx3c4FBNhHqjEkZhTMcxrlwaERH9SZIkdI3oWquizPLiukpSOb3RomZ4JSqu9Fo99Fo9ACCnNAdA022wExfmyyvLATRu3hxQ3dYyUh/ZqAq85qyumXPUfIm5c4Bz8+aEmvOhvSWcC/ULVdqkH8o+VOd9RTgn5hufzD/p8POIcI7z5ojI1RjOERGR16oVzrFyjsiuxdcvxsZbNmJ8p/GeXgq5mZgtJdpaZpdmo+hyEVSSqlalhDfpF9sPh+89jG9u/oZVc0REbma56S05KhmBPoFOPd6y/SFgHepYVl8BTXchX4RzAOCn8Wv0BqXBbQZDr9W36gvwbGvZMvWJ6YMOIR0QqY9s0IYoy7aWOrUOob7uaVvpCEdbW4q2luLrzyjMgLHKWO/xZVnG9jPbATCcIyLXY1tLIiLyWqycI3JchD4CYxPHenoZ5AFxgXFQSSrkleVhRcoK5SJoh5AO8NH4eHh1desR2cPTSyAiapUsAzNnW1oC9ivnxG2ZhZkAAF+NrzIX19WSo6vDuWHthkGn1jXqeG2C2iD70Wyl8q81svx3DfZhW8uWQqPS4Pf5v6PSVNmgdqU15zF606aq3tG98W3qtziQfaDO+4nKuUFtBsFf64/SilKkF6SjS3iXOh+XXpCOc8XnoFVpMTBuoMvWTUQEsHKOiIi8WM1KOVbOERHVFuoXiseHPQ4AuH397fjyyJcAmnbeHBERNW+Wm+AaEs7ZmzkHWFfONeWFfNHSG2h8S0shQBfQqmdKsXKu5QrXhzf4/XTboLbK68JbWloKjlTOlRhLkF+WD8BcBZgYlggASMuvf+6cqJrrH9cfflq/xi6XiMhK6z3jICIir2f5pj9QF9iqd7ESEdXlxatfxJiOY2CoMOC/v/8XQNPOmyMioubNR+ODDiEdoFFpGhRshevDlY/VkhqhftVt7izDuabsfBHiG6K0bxZzpKhxwvzClBCG4RwJWrUWcYFxAIDYgFgPr8aaCOcO5RxClanK5n1ES8sQ3xAE+QQpPzccCecO5xwGAPSL6eeK5RIRWWE4R0REXstf6w8/jXl3GqvmiIjsU6vU+GLqF1Zth1g5R0REddk0ZxN+ve1XxAfHO/1YjUqDML8wAOagzrLarGblXFP6YuoX+PTGTzkLykVUkkqZZcu2lmRJzJ3ztsq5zmGd4avxhaHCgFOXTtm8j2hpKc6TO4U6Hs6l5qcCALpGcNMbEbkewzkiIvJakiQpoRznzRER1S1CH4G1M9bCV+MLwLrdFxERUU2dwjphcNvBDX686HJRc/6cuyrnAGBA3ADc0uuWJn2O1ka0tmTlHFnqENIBAJQKOm+hVqmVc157rS1F5Vz7EHM4J9panrx0st7jp+aZw7nOYZ0bvVYiopo0nl4AERFRXaL8o5BekM7KOSIiB/SL7Yef5vyEA9kHMKTtEE8vh4iIWrBIfSSO4ZjVnDLxecHbqmyofgPjBuLYxWNIjk729FLIizw05CHIkDGv9zxPL6WW3tG9sefcHqxPXY8quQr5ZfnoG9NX2XxQq3LOwbaWJtmk3KdLeJemWj4RtWIM54iIyKuJHbmsnCMicszw+OEYHj/c08sgIqIWToRydVbOcYNds/PhpA/xyphX+G9HVvrG9sWnN37q6WXYJObOLTuwDMsOLAMA+Gp8kfVwFsL8wuyGc6cvnUalqRIqSYW7vrkLFaYKfHTDR0qb3rNFZ1FeWQ6NSqNU3RERuRLbWhIRkVdrG9jW/P+gth5eCRERERERCSKUqyucY+Vc86NWqRnMUbNyU4+bMKjNICRFJWFE+xGI1EeivLIcXx/7GkDttpZtg9rCR+2DClMFzhSewdL9S/HBvg+w9MBSHL94XDnuibwTAIDE0ERoVKxvISLXYzhHRERe7dFhj+L/hv8fbu97u6eXQkREREREf5rYZSKi/KMwocsEq8+7c+YcEVFcYBx237Ebh+45hP/d+j88MPgBAMDKwysB1G5rqZJU6BjaEQCw59we/N9P/6cca9+FfcrHyry5cM6bI6KmIcmyLHt6EeR6hw8fRlJSkvLnlJQU9OzZ04MrIlfLycnB4sWLlT/fe++9iIqK8uCKiDyLrwmianw9EFXj64GoGl8PRNb4miCqxtcDEZF7MZxroRjOtXz8NyayxtcEUTW+Hoiq8fVAVI2vByJrfE0QVePrgYjIvdgwt4VKTExESkqK1Z+JiIiIiIiIiIiIiIjIsxjOtVC+vr7c3UJERERERERERERERORlVJ5eABEREREREREREREREVFrwXCOiIiIiIiIiIiIiIiIyE0YzhERERERERERERERERG5CcM5IiIiIiIiIiIiIiIiIjdhOEdERERERERERERERETkJgzniIiIiIiIiIiIiIiIiNyE4RwRERERERERERERERGRmzCcIyIiIiIiIiIiIiIiInIThnNEREREREREREREREREbsJwjoiIiIiIiIiIiIiIiMhNGM4RERERERERERERERERuYnG0wsgooaJjIzEc889Z/VnotaMrwmianw9EFXj64GoGl8PRNb4miCqxtcDEZF7SbIsy55eBBEREREREREREREREVFrwLaWRERERERERERERERERG7CcI6IiIiIiIiIiIiIiIjITRjOEREREREREREREREREbkJwzkiIiIiIiIiIiIiIiIiN2E4R0REREREREREREREROQmDOeIiIiIiIiIiIiIiIiI3IThHBEREREREREREREREZGbMJwjIiIiIiIiIiIiIiIichOGc0RERERERERERERERERuwnCOiIiIiIiIiIiIiIiIyE0YzhERERERERERERERERG5CcM5IiIiIiIiIiIiIiIiIjdhOEdERERERERERERERETkJgzniIiIiIiIiIiIiIiIiNyE4RwRERERERERERERERGRmzCcIyIiIiIiIiIiIiIiInIThnNEREREREREREREREREbsJwjoiIiIiIiIiIiIiIiMhNGM4RERERERERERERERERuQnDOSIiIiIiIiIiIiIiIiI3YThHRERERERERERERERE5CYM54iIiIiIiIiIiIiIiIjchOEcERERERERERERERERkZswnCMiIiIiIiIiIiIiIiJyE4ZzRERERERERERERERERG7CcI6IiIiIiIiIiIiIiIjITTSeXgA1jfLycpw8eVL5c2JiInx9fT24IiIiIiIiIiIiIiIiImI410KdPHkSSUlJyp9TUlLQs2dPD66IiIiIiIiIiIiIiIiI2NaSiIiIiIiIiIiIiIiIyE0YzhERERERERERERERERG5CcM5IiIiIiIiIiIiIiIiIjdhOEdERERERERERERERETkJgzniIiIiIiIiIiIiIiIiNyE4RwRERERERERERERERGRmzCcIyIiIiIiIiIiIiIiInIThnNEREREREREREREREREbsJwjoiIiIiIiIiIiIiIiMhNGM4RERERERERERERERERuQnDOSIiIiIiIiIiIiIiIiI3YThHRERERERERERERERE5CYM54iIiIiIiIiIiIiIiIjchOEcEREREREREREREbUKsixj7dq1OHLkiKeXQkStmMbTCyAiIiIiIiIiIiIicofNmzfjpZdeQkJCAr788ktPL4eIWqkWXzlXXFyMhQsXIjk5GQEBAQgODsbAgQPxr3/9C0ajsVHHzs7OxiOPPIKuXbvCz88PYWFhuPLKK/HBBx9AlmUXfQVERERERERERERE5ApfffUVACA9PR0Gg8HDqyGi1kqSW3CKlJGRgZEjRyI9PR0AoNfrUVVVhcuXLwMA+vbti82bNyM0NNTpY+/duxfjxo1DXl4eACAgIADl5eWorKwEAIwbNw7r16+HTqdzzRfjpMOHDyMpKUn5c0pKCnr27OmRtRARERERERERERF52rlz5zBp0iTlzx999BF69erlwRURUWvVYivnKisrMXHiRKSnpyM2NhY//vgjSktLYTAYsGLFCgQGBmLfvn245ZZbnD52YWEhJkyYgLy8PHTr1g2///47iouLUVpairfffhtarRYbN27Egw8+6PovjIiIiIiIiIiIiIictn79eqs/nzhxwkMrIaLWrsWGc0uXLsWhQ4cAAGvWrMGYMWMAACqVCjNmzMB7770HANiwYQM2b97s1LFfe+01XLhwAX5+ftiwYQMGDBgAANDpdLjvvvuwaNEiAMCSJUuQmprqqi+JiIiIiIiIiIiIiBrAZDIp4Vx8fDwA8NotEXlMiw7nAGDUqFEYOnRordtnzpyJDh06AACWLVvm1LHF/S2PYen+++9HQEAAqqqqsHz5cmeXTkREREREREREREQutHPnTuTk5CA4OBh/+ctfALByjog8p0WGcwaDAdu3bwcAjB8/3uZ9JEnCtddeCwDYtGmTw8c+fvw4MjMz6zx2QEAArrzySqePTURERERERERERESut27dOgDA9ddfjx49egAwh3Mmk8mDqyKi1krj6QU0haNHjyo/VJOSkuzeT9x24cIF5OfnIywsrN5jp6Sk1Hq8vWN///33OHLkiKPLtisnJwe5ublOPSYtLa3Rz0tERERERERERETU3OXl5WHr1q0AgMmTJ6N9+/bQ6XQoKytDVlYW2rVr5+EVElFr0yLDuXPnzikft2nTxu79LG87d+6cQ+Gcs8cuKipCSUkJAgIC6j22PYsXL1bm2BERERERERERERGR477//ntUVVWhV69e6NixIwCgY8eOOHbsGE6cOMFwjojcrkW2tSwuLlY+1uv1du9neZvlYzx1bCIiIiIiIiIiIiJyrR07dgAAxo0bp3yuS5cuADh3jszS09MhSRIkSUJ6errDt3kzseZffvnF00sB4H3r8bQWGc4REREREREREREREV2+fBn79+8HAAwaNEj5fOfOnQEAqampnlgW2bBw4UIlwLH8z8fHB3FxcRg3bhw++OADVFRUeHqp5EIFBQVYuHAhFi5ciIKCAk8vx21aZFvLwMBA5WODwWD3fpa3WT7GmWMHBQW57Nj23HvvvZg2bZpTj0lLS8PkyZMb9bxEREREREREREREzdmBAwdgNBoRGRmJhIQE5fOsnPNu0dHRysfFxcU4f/48zp8/j02bNuG9997Dpk2bEBoa6sEVkrO6du0KoHZHwoKCAmWs16233oqQkBB3L80jWmQ4FxcXp3yclZWFXr162bxfVlaWzcc4c2x74Zw4dlBQUKPmzQFAVFQUoqKiGnUMIiIiIiIiIiIiotbm999/BwAMHDgQkiQpnxeVc+fOnUNJSUmjr+GSa124cMHqz5mZmXjxxRfx/vvvY8+ePXjggQfw6aefemh11BDHjh3z9BK8Sotsa9m9e3eoVOYvLSUlxe79xG0xMTEICwtz6NhJSUm1Hl/XsXv06OHQcYmIiIiIiIiIiIjItX777TcA1i0tAXNRhSiIYPWc94uPj8eSJUtw9dVXAwBWrVqFkpISD6+KqOFaZDin1+sxfPhwAMAPP/xg8z6yLGPjxo0AgLFjxzp87C5duiA+Pr7OY5eWlmLbtm1OH5uIiIiIiIiIiIiIXKO4uBhHjx4FUDucA9jasjm69tprAQBGo9Huv9vJkydxzz33oHPnzvDz80NQUBD69euH559/HkVFRW5b69/+9jdIkoR+/frVeb+SkhL4+/tDkiSb1YDFxcV4+eWXMXToUISFhcHHxwft2rXDzJkzsXPnzgavr7y8HG+88QaGDRuG0NBQ+Pr6on379pg7d64yp7EuR48exX333YcePXogMDAQAQEB6Nq1K2bOnIk1a9bAZDJZ3V/MEPzll1+Uz40cORIdOnRQ/tyhQwereYMjR44EAMycOROSJOG6666rc01paWlQqVS1nscbtchwDgDmzZsHANiyZQt2795d6/bVq1fj1KlTAIC5c+c6fFxJkpT7r1ixAunp6bXu89///hclJSVQq9WYPXt2A1ZPRERERERERERERI2xd+9emEwmtG/f3ubYIIZzzY8sy8rHVVVVtW5ftWoVevbsiXfffRdpaWnQarUwGo3Yt28fnnvuOSQlJSmBbVObM2cOAGDfvn04fPiw3futWbMGBoMBAQEBmDJlitVt+/fvR48ePfDkk09i165dKCoqgo+PD86ePYuVK1di+PDh+Mc//uH02rKysjBw4EA89NBD2LlzJ0pLS+Hr64vMzEx8+umn6N+/P9566y27j3/llVeQlJSExYsX4+jRo6isrISPjw/S0tKwcuVK3HTTTQ4FoWFhYYiIiFD+HBERgejoaOU/0fHw7rvvBgBs3LgRmZmZdo/3wQcfQJZldOnSRQn2vFWLDueSk5MhyzKmTp2KzZs3AwBMJhNWr16N+fPnAwDGjx+P0aNHWz124cKFSjJrK3x79NFHERMTA4PBgOuvvx579+4FYE7r33nnHTz77LMAgDvvvFP5AU9ERERERERERERE7mOvpaUg5s6lpqa6bU3UOKIbniRJVhVXAPDHH3/glltuweXLlzF8+HAcPHgQRUVFMBgMWL9+PWJjY3HmzBlMnDjRLS0xBwwYoIy9qms+nrhtypQp8Pf3Vz5//vx5jBs3DmfPnsWUKVOwZ88elJWVoaioCNnZ2Xj22WehVqvx1FNPYd26dQ6vq6qqClOnTkVKSgqCg4Px2WefoaSkBAUFBTh58iQmTJgAk8mEv/3tb/j+++9rPf6dd97BE088AZPJhEmTJmHfvn0oKytDXl4eiouLsWnTJsyYMUMZPVaXtWvXKnMhAfOMyAsXLij/rV27FoC5wq579+4wmUz48MMPbR6roqICn3zyCQBzNuPtWmw4p9FosH79eiQkJCArKwtjxoyBv78//P39MX36dBQVFaFv375Yvny508cODg7Gt99+i/DwcBw5cgQDBgxAUFAQAgICcO+998JoNGLs2LH497//3QRfGRERUctVWFiI6dOnY968ediwYQOMRqOnl0RERERERETNlAjnBg4caPN2UViRlpZWqwWfK8myjLKyshb1n2UFmztkZmbizjvvxM8//wwAmDhxIsLDw63u8/TTT6OiogKdOnXCpk2bkJycDABQqVSYOHEivvvuO2g0Gpw8eRLvvvuuW9YtqueWL19u83ssKysLW7ZsAVC7w98zzzyDnJwczJo1C2vWrEH//v2h1WoBAFFRUXj++efx6quvAjAXHDnqyy+/VLoNrlq1CrNnz4ZOpwMAdOzYEV999RUGDx4MWZbx+OOPWz320qVL+L//+z8A5laT69atQ58+fZTb9Xo9rrnmGqxYsQJBQUEOr8kRd911FwDgo48+slk1uX79emRnZ8PHx0fprOjNNJ5eQFNKSEjAwYMH8dprr2Ht2rU4ffo0tFotevbsiZtvvhn333+/8k3nrP79++Pw4cN45ZVX8O233+LMmTPw9/dHUlIS5s2bh7/85S8OJcNERERUbffu3Urb6QULFuCNN97A7bffjhkzZnh4ZURERERERNSc5OTkID09HZIkYcCAATbv065dO6jValy+fBm5ubmIjo5ukrWUl5fjyiuvbJJje8q2bdvg5+fXZMePiYlRPi4uLobBYFD+3K1bNyxevNjq/gUFBUpV3WOPPQa9Xl/rmH379sWUKVOwatUqfPHFF3j00UebaPXVZs+ejaeffhpnz57Fli1banXxE6Fd27ZtMWrUKOXz5eXl+PzzzwFACcNsmTt3Lh5++GEcOHAA2dnZDn0Pr1y5EgAwdOhQjB07ttbtGo0Gzz33HK677jqkpKTg0KFDStD55Zdfori4GFqtFq+//jokSar/L8FF5s2bh6eeegpnz57Fhg0bMHHiRKvb33//fQDmCkTLVpneqsWnR4GBgVi0aBEOHTqEkpISFBUVYc+ePXjkkUfsBnMLFy6ELMuQZRkJCQl2jx0dHY3XX38dqampKCsrw6VLl7Bt2zbccccdDOaIiIgaQARziYmJiIyMRH5+Pv75z39i3759Hl4ZERERERERNSd79uwBAHTv3t1uBY9KpVKqry5evOi2tVH9srOzlf8sg7m5c+di3759aNOmjdX9//jjD6Wab8yYMXaPe8011wAADh48iIqKiiZYubV27dops89stbYUn5s9e7ZVprB3716Ul5cDAMaOHYuYmBib//Xs2VN5TEZGhkNrEq+Nuv6eRo0aBbVabXV/ANixYwcAc/FSbGysQ8/nKiEhIcrmbRHECRkZGfjxxx8BNI+WlkALr5wjIiKi5kWEczfccAOmT5+ORYsW4fvvv8fnn3+Ovn37enh1RERERERE1FyItn32WloKERERyMnJadJwztfXF9u2bWuy43uCr69vkx5fBG2yLOPChQtYv349nnjiCSxbtgzJycm1qt5ycnKUj2sGd5batm0LAKisrER+fn6TVUtamjt3Ln7++WesWbMGixcvVqr69u/fj5SUFOU+ls6dO6d8nJ2d7dDzWIaYdRF/V3X9Pfn6+iIiIgLZ2dlWf7cXLlwAALRv396h53K1u+++Gx9//DE2bNiArKws5Wv44IMPYDKZ0LVrVyUM9XYs7yIiIiKvIcK5jh07QqPR4LbbbgMA/PLLL8jKyvLk0oiIiIiIiKgZOXToEADYbWkpiPZ3TRnOSZIEPz+/FvWfu9oZSpKE2NhY3HXXXfjqq68gSRIef/xxZfZcczB16lTo9XqUlJTgq6++Uj4vqub69euHHj16WD3GcqaamPFX33/uCKXc2cbSlkGDBqFfv36oqqrChx9+CMD8d/Xxxx8DAObPn+/J5TmF4RwRERF5hYqKCmRmZgIwh3Pi/0OHDoUsy1ixYoUnl0dERERERETNhMlkUiqPOnToUOd93RHOkWuMHDkSc+bMgSzLuP/++60CrKioKOXjs2fP2j2GuE2j0SAsLKzpFmshICAAN954I4DqQK6qqkqZKVezag6wnrnnaLtKR4m/q7r+nsrLy5GXl2d1f8t1uXpNzrj77rsBAB999BFMJpNSRefj44N58+Z5bF3OYjhHREREXiEzMxMmkwn+/v6IjIxUPj9r1iwAwNdff43S0lJPLY+IiIiIiIiaiQsXLqCyshJardYqWLCF4VzzsmDBAqjVahw5cgRLly5VPt+vXz9lZtvmzZvtPv6nn34CAPTu3RtarbZpF2tBBHA//fQTLly4oPxfo9Eo1z0sDRw4EDqdDgDwzTffuHQtopq0rr+nX375BZWVlcpahGHDhgEwz6E7f/68S9ZjOWtPtDOty6xZsxAUFISMjAxs3LhRmT83ZcoU5fXcHDCcIyIiIq9g2dLSsk3CkCFD0LFjRxgMBnz99deeWh4RERERERE1E6IiKC4uzurCvy0M55qXxMREzJgxAwDwwgsvoKKiAgAQEhKCcePGAQD++c9/2py/duDAAaxZswYAcPPNN7tpxWZjxoxBXFwcqqqqsHz5cqWC7tprr7XaoCz4+/srod0rr7yidBqyJz8/3+G1zJw5EwCwc+dObNq0qdbtlZWVeP755wEASUlJSEpKUm6bNm0agoKCUFlZiYceesihMK0+QUFByscFBQX13t/f3x9z5swBALz44ovYsGEDAODOO+9s9FrcieEcEREReQXLcM6SJEnKSfOKFStgMpncvjYiIiIiIiJqPkQ417Zt23rvy3Cu+XnyySchSRLS09OVuWOAOajRarVIS0vDuHHjlLmDovXhddddh8rKSiQmJuKuu+5y65pVKpUStn344YdYt24dACghky0vvfQS4uLicPHiRQwdOhSffvopiouLldtzc3OxZs0a3HjjjU6FjVOnTsXgwYMBANOnT8fnn3+uhJynT5/G1KlTsXPnTgDAq6++avXY4OBg5XMrV67EjTfeiP379yu3GwwGfPfdd7jhhhtQVFTk0HpCQkLQpk0bAMDHH3+sVOzVRbS23LFjB6qqqtC1a1e3zNxzJYZzRERE5BXshXMAcN111yE4OBjnzp1TWlAQERERERER2dKQcC43N7dJ10Suk5SUhEmTJgEA/v73v+Py5csAzK0tP/30U+h0Ovz666/o1asXgoOD4e/vj+uvvx7nzp1Du3bt8M033yAgIMDt6xatLY8ePYrS0lKEhIQoX4ctsbGx+Omnn9ClSxecO3cOc+fORUhICMLDwxEQEICoqCjcdNNNWLdunVMbmdVqNdasWYOePXuisLAQs2fPRkBAAEJDQ9GxY0esX78eKpUKb775JsaPH1/r8XfddRdeeuklqFQqfP311+jbty/0ej3Cw8MRGBiICRMmYP369U6tSYRtb731FgICAhAfH4+EhASlyq+mpKQkXHHFFcqf58+f7/BzeQuGc0REROQVTp8+DcB2OOfj46PsAnv33Xethj4TERERERERWXImnBMtBfPz89mppRl5+umnAZj/rd977z3l8zNmzMDhw4dx1113ITExEZcvX4ZGo0GfPn2waNEipKSkoHv37h5Zc3JyMvr06aP8edq0afD19a3zMd27d8fBgwfx3nvvYezYsYiIiEBRURFkWUanTp0wbdo0LFmyBKtWrXJqLW3atMGePXvw+uuvY8iQIfDz84PBYMk5xxoAAQAASURBVEC7du0wZ84c7N27Fw888IDdxz/55JM4cOAA5s+fj06dOgEAjEYjOnfujJtvvhlr1661aldZn6eeegpvvvkmBgwYAK1Wi7NnzyIjIwMXLlyw+5hp06YBMF8zmjdvnsPP5S0k2RVNQcnrHD582KoXbEpKCnr27OnBFREREdlXUVGBK664AlVVVfjuu+8QHR1d6z4GgwE33HADLl26hGeeeQaTJ092/0KJiIiIiIjI682aNQupqal44403rKprbKmqqsKQIUMgyzI2btyI8PBwN62SiBpj4sSJ+Pbbb3HzzTfj888/9/RynMbKOSIiIvK4M2fOoKqqCnq9HlFRUTbvo9frcdtttwEAlixZAqPR6M4lEhERERERUTMgy7JTlXNqtRqhoaEAOHeOqLk4deoUNmzYAAC45557PLyahmE4R0RERB5nOW9OkiS797vpppsQHR2NnJwcrF692l3LIyIiIiIiombi0qVLMBgMkCQJcXFxDj1GzJ1jOEfk/YqKinDPPffAZDJh8ODBuPLKKz29pAZhOEdEREQeZxnO1UWn0+Guu+4CAHz00UcoLS1t8rURERERERFR8yGq5qKioqDT6Rx6DMM5Iu/36KOPon379oiMjMSmTZug0WjwxhtveHpZDcZwjoiIiDzu9OnTAIAOHTrUe9/rr78eCQkJKCwsxBdffNHUSyMiIiIiIqJmxJmWlgLDOSLvd/HiRWRmZkKn02Ho0KH44YcfMGTIEE8vq8EYzhEREZHHnTx5EgCQmJhY733VajXuuOMOAMDXX38Nk8nUpGsjIiIiIiKi5oPhHFHL9Mknn0CWZRQXF2PHjh0YPXq0p5fUKAzniIiIyKMqKyuRmZkJwLHKOQAYNWoU9Ho9zp8/j4MHDzbl8oiIiIiIiKgZYThHRM0BwzkiIiLyqDNnzqCyshJ6vR4xMTEOPcbHxwdXX301AOD7779vyuURERERERFRM9KYcC43N7dJ1kREVBPDOSIiIvIoMW8uISEBkiQ5/Ljx48cDAH788UdUVFQ0ydqIiIiIiIioeRHhXLt27Rx+TGRkJABWzhGR+zCcIyIiIo86deoUAKBjx45OPW7gwIEIDw9HUVERdu7cafM+mZmZ+M9//oNLly41ep1ERERERETk3QwGA/Lz8wE0rHIuLy8Psiw3ydqIiCwxnCMiIiKPSk9PB2CunHOGSqXCuHHjAAA//PBDrdtlWcYzzzyDZcuW4bXXXmvsMomIiIiIiMjLiaq54OBgBAQEOPy48PBwAEBFRQWKioqaZG1ERJYYzhEREZFHZWZmAgDat2/v9GOvvfZaAMAvv/yC0tJSq9t+/fVXHDlyBACwceNGpKamNnKlRERERERE5M0aMm8OAHQ6HYKCggCwtSURuQfDOSIiIvIYWZaRkZEBoGHhXPfu3REfHw+j0YgtW7ZYHXfJkiUAAL1eDwBYvHixC1ZMRERERERE3qqh4RxQ3dqS4RwRuQPDOSIiIvKY/Px8lJaWQpKkBr15kiQJ48ePBwCsW7cOlZWVAIBt27bh6NGj8PPzw9tvvw2VSoVff/0V+/fvd+XyiYiIiIiIyIswnCOi5oLhHBEREXmMqJqLjY2FTqdr0DGuu+46qNVq7N+/H3/9619RUFCAd999FwAwY8YM9OrVC5MnTwYAvP322xzuTURERERE1EIxnCOi5oLhHBEREXmMmDeXkJDQ4GO0adMGr776KvR6Pfbs2YMpU6YgNTUVer0ec+bMAQDccccd0Ol02L9/P3bs2OGKpRMREREREZGXYThHRM0FwzkiIiLyGBHOxcfHN+o4V111FT7++GPExcWhqKgIADBz5kwEBwcDAKKiojBz5kwAwPLlyxv1XEREREREROR9KioqcOHCBQBAu3btnH58ZGQkACA3N9el6yIisoXhHBEREXlMeno6gMaHcwCQmJiITz/9FFdffTV69+6NW265xer2CRMmAAAOHToEk8nU6OcjIiIiIiIi73Hw4EGYTCaEhIQgPDzc6cezco6I3Enj6QUQERFR6+WKtpaWgoOD8eqrr9q8LSEhAXq9HgaDASdPnkTnzp1d8pxERERERETkedu3bwcADBs2DJIkOf14hnNE5E6snCMiIiKPqKqqUuYBuKJyrj4qlQo9e/YEAKSkpDT58xEREREREZH7iPniw4YNa9DjLcM5WZZdti4iIlsYzhEREZFHnDt3DpWVlfDx8UFUVJRbnjM5ORmAubUlERERERERtQw5OTlIS0uDJEkYMmRIg44hwrny8nIYDAZXLo+IqBaGc0REROQRoqVlfHw8VCr3nJIkJSUBYOUcERERERFRS7Jz504AQI8ePRASEtKgY/j5+UGv1wNga0sianoM54iIiMgjMjIyALinpaUgwrnTp0+jtLTUbc9LRERERERETUfMmxs+fHijjsO5c0TkLgzniIiIyCNEONe+fXu3PWdYWBji4uIgyzIOHz7stuclIiIiIiKiplFZWYndu3cDaPi8OSEyMhIAkJ2d3eh1ERHVheEcEREReYRoa+nOcA5ga0siIiIiIqKW5ODBgygtLUVwcDB69OjRqGOJ96enT592xdKIiOxiOEdEREQe4Ym2lgDDOSIiIiIioubg3LlzKCoqqvd+O3bsAAAMHTq00fPMO3fuDAA4ceJEo45DRFQfhnNERETkdmVlZcjJyQHg2co5WZbd+txERERERERUv/z8fNx0002YOXMmCgoK6ryvCOca29ISYDhHRO7DcI6IiIjc7syZMwCAkJAQBAUFufW5u3XrBo1Gg/z8fJw/f96tz01ERERERET1S0tLg9FoRE5ODp5//nm7Gytzc3ORmpoKSZIwdOjQRj9vp06dAJhnzjlStUdE1FAM54iIiMjtPNXSEgB0Oh26dOkCgK0tiYiIiIiIvNG5c+eUj7du3YrVq1fbvN/atWsBAN27d0doaGijnzcgIACxsbEAzAEhEVFTadHhXHFxMRYuXIjk5GQEBAQgODgYAwcOxL/+9S8YjcYGH7egoABff/01FixYgAkTJiA2NhaSJEGSJHzyySeu+wKIiIhaKBHOubulpcC5c0RERERERN5LhHPh4eEAgDfeeKNWq8nMzEwsXboUADBv3jyXPbdobclwjoiaUosN5zIyMtCrVy8sWrRImSlz+fJl7NmzB48++iiGDBmCS5cuNejY69atw+TJk/HCCy/gu+++w4ULF1y8eiIiopYtMzMTgOfCueTkZADAoUOHPPL8REREREREZJ8YQTBr1ixcccUVMBqNeOqpp5Cfnw8AkGUZ//znP2E0GjFkyBBcffXVLntu0dqS4RwRNaUWGc5VVlZi4sSJSE9PR2xsLH788UeUlpbCYDBgxYoVCAwMxL59+3DLLbc0+DliYmIwfvx4PP3000r5NBERETnm1KlTADzT1hKorpw7fvw4TCaTR9ZAREREREREtonKubi4ODz33HOIiIjA6dOnMWfOHBw/fhxbtmzBzp07odVq8fjjj0OSJJc9t6icq1mpR0TkShpPL6ApLF26VNkJv2bNGmUYqEqlwowZM2AymTBr1ixs2LABmzdvxujRo506/pw5c3Drrbe6etlEREStgtFoVHYgduvWzSNriIuLg0qlgtFoRF5eHiIjIz2yDiIiIiIiIqpNVM7FxcUhNDQUS5YswUMPPYSMjAzcfvvt0Ov1AMztLF296dOyraXJZIJK1SLrW4jIw1rkTxbRa3jUqFFKMGdp5syZ6NChAwBg2bJlTh9frVY3boFEREStWGpqKiorKxESEqIM2nY3tVqNqKgoAGB7aiIiIiIiIi9iNBqRm5sLAMp7xvj4eHzyyScYMmQIysvLkZ+fj7i4ONx2220uf/527dpBp9OhrKxMqeAjInK1FhfOGQwGbN++HQAwfvx4m/eRJAnXXnstAGDTpk1uWxsREREBR44cAQD07NnTpa1HnBUdHQ0AyM7O9tgaiIiIiIiIyFp2djZkWYaPjw9CQ0OVzwcGBuLNN9/EnDlzEB0djQULFsDHx8flz69Wq5GYmAiArS2JqOm0uHDu6NGjyuwYMU/GFnHbhQsXlEGiRERE1PQOHz4MwBzOeVJMTAyAhlfOVVRUICsry5VLIiIiIiIiavUsW1rW3NCpVqvxt7/9Dd999x0GDBjQZGvg3DkiamotbuacZalxmzZt7N7P8rZz584hLCysSdfVGDk5OUopt6PELB8iIiJvI8K5Hj16eHQdjQ3nFixYgB9//BELFizApEmTXLk0IiIiIiKiVktc3/XUGAQA6NSpEwBeYyWiptPiwrni4mLlYzEY1BbL2ywf440WL16MRYsWeXoZREREjVZaWoqMjAwAzTuc27VrF3788UcAwKuvvoo+ffq4fAg5ERERERFRayTCubi4OI+tgZVzRNTUvKKt5SeffAJJkhr83w8//ODpL4GIiIgccPToUciyjNjYWI9XrTd05lxFRQX++c9/AgB8fX1RXl6OZ555BpWVlS5fIxERERERUWtj2dbSU0Tl3NmzZ2EwGDy2DiJqubwinHOlwMBA5eO6fnBa3mb5GCIiImo63jJvDmh45dyqVauQkZGB0NBQLFu2DEFBQThy5AiWLFnSFMskIiIiIiJqVUQ458m2lqGhoYiIiIAsyzh16pTH1kFELZdXtLW8+eabMWHChAY/Pjg4WPnYckdFVlYWevXqZfMxWVlZNh/jje69915MmzbNqcekpaVh8uTJTbMgIiKiBvKWeXNAdTh36dIlXL58GT4+PvU+Ji8vD++99x4A4P7770fHjh3x1FNP4YknnsDHH3+MYcOGoU+fPk25bCIiIiIiohbNG9paAubWlhcvXsSJEyeQlJTk0bUQUcvjFeGcj4+PQxfEHNG9e3eoVCqYTCakpKRg/PjxNu+XkpICwHxhztNtteoTFRWFqKgoTy+DiIio0Y4cOQLAOyrnAgMDodfrYTAYkJ2d7dDMuP/+978wGAzo0aOHsrFozJgxmDBhAr799lt8+umnDOeIiIiIiIgaqKKiArm5uQA8WzkHmMO5nTt3YsOGDbjqqqu8/hoyETUvLa6tpV6vx/DhwwHA7iw6WZaxceNGAMDYsWPdtjYiIqLWLD8/HxcuXIAkSejevbunlwNJkpS5c460tjQYDPj2228BAI899hhUqurTKFHhvnfvXlRVVTXBaomIiIiIiFq+7OxsyLIMHx8fhIaGenQto0ePhkqlwr59+zB9+nRs2rQJsix7dE1E1HK0uHAOAObNmwcA2LJlC3bv3l3r9tWrVyu9gufOnevWtREREbVWoqVlhw4doNfrPbwaM2fmzh07dgwmkwlRUVFITk62uq179+4ICAhASUkJjh071iRrJSIiIiIiauksW1pKkuTRtfTs2RPLli1D586dUVBQgKeeegqPP/44ioqKPLouImoZWmw4l5ycDFmWMXXqVGzevBkAYDKZsHr1asyfPx8AMH78eIwePbrW4xcuXAhJkiBJEtLT020+x8WLF63+E0pKSqw+bzAYXP8FEhERNUOipaU3zJsTnAnn6mrJqVKpMGDAAADAb7/95sIVEhERERERtR7nz58H4PmWlkK3bt2wbNky3HnnnVCr1cjIyICvr6+nl0VELUCLDOc0Gg3Wr1+PhIQEZGVlYcyYMfD394e/vz+mT5+OoqIi9O3bF8uXL2/wc0RGRlr9J9x///1Wn3/11Vdd8SURERE1e6JyzhvmzQkNCefshYuDBg0CAPz+++8uWh0REREREVHrYlk55y20Wi3uvPNOfPbZZ3jhhReg0+k8vSQiagFaZDgHAAkJCTh48CAWLFiApKQkSJIErVaL/v3747XXXsOuXbs83reYiIiotZBl2SvDOTFzLjs7u9771rf+gQMHAgD279+Py5cvu2iFRERERERErYeonPOmcE7o3Lkzunbt6ullEFELofH0AppSYGAgFi1ahEWLFjn1uIULF2LhwoV13ofDP4mIiBx35swZFBYWQqfToVOnTp5ejsLRyrmCggJkZWUBMM+XsyUhIQGRkZHIzc3FgQMHlEo6IiIiIiIicoyonPOWtpZERE2lxVbOERERkfcQc9h69erlVS1ALMO5ujbeiJaW8fHxCAwMtHkfSZKU6jm2tiQiIiIiInKeN7a1JCJqCgzniIiIqMmJsEqEV94iKioKAHD58mUUFhbavZ8I5+prySmq5Xbv3u2iFRIREREREbUOFRUVyM3NBcDKOSJq+RjOERERUZMymUzYs2cPAO8L53Q6HcLCwgDUPXdOhHM9evSo83ginDt27BiKi4tdtEoiIiIiIqKWLzs7G7Isw8fHB6GhoZ5eDhFRk2I4R0RERE0qLS0NhYWF8PPzqzfc8oT65s7JsoyUlBQA9VfORUVFoX379jCZTNi7d69rF0pERERERNSCWba0lCTJw6shImpaDOeIiIioSYmqub59+0Kj0Xh4NbXVF87l5OQgPz8fKpUKXbp0qfd4onpOzNkjIiIiIiKi+p0/fx4AW1oSUevAcI6IiIialLfOmxPqC+cOHz4MAOjUqRN8fX3rPZ74OkUoSURERERERPUTowaio6M9vBIioqbHcI6IiIiaTFVVldLe0dvDOXsz58S8ufpaWgpdu3YFAGRlZUGWZReskIiIiIiIqOXLz88HAISHh3t4JURETY/hHBERETWZo0ePwmAwICgoyKGWkJ7gaOWco/PywsLCAACXL19GWVmZC1ZIRERERETU8olwTrynIiJqyRjOERERUZMRc9f69+8Plco7TzvqCudMJpPTlXN+fn5K+8tLly65aJVEREREREQtW15eHgBWzhFR6+CdV8mIiIioRRBz17y1pSVQHc7l5uaisrLS6rYzZ86gtLQUOp0OHTt2dPiYYqen2PlJREREREREdWPlHBG1JgzniIiIqEkYjUbs378fADBgwADPLqYOISEh0Gq1kGUZubm5VrcdPXoUgHmOnEajcfiYoaGhAFg5R0RERERE5ChWzhFRa8JwjoiIiBRnzpzBb7/9BqPR2OhjHTp0CEajEWFhYejQoYMLVtc0VCoVoqOjAQDnz5+3uu348eMAgG7dujl1TFbOEREREREROa68vBwGgwEAK+eIqHVwfAs4ERERtWgmkwl33HEH8vLy4OfnhyFDhuDqq6/GuHHjGjQvTsxq69OnDyRJcvVyXapDhw44e/Ysjh8/jn79+imfF+Fc165dnTqeqJxjOEdERERERFQ/8d5Jp9PB39/fw6shImp6rJwjIiIiAEB6errSRqSsrAxbtmzBs88+i82bNzfoeCdOnADgfLDlCT179gQApKSkKJ+TZRnHjh0D4PzXIHZ6sq0lERERERFR/SxbWnr75k4iIldgOEdEREQAoARRvXv3xmeffYZBgwYBAFJTUxt0vLS0NABA586dXbPAJpSUlATAOpzLyclBUVER1Go1EhMTnToe21oSERERERE5Trx3YktLImotGM4RERERgOpwrkePHujWrRtGjBgBAMjIyHD6WJWVlTh16hQAoFOnTq5bZBMRlXNZWVkoKCgAUN3SskOHDtDpdE4dT7S1ZOUcEREReasdO3Zg3bp1nl4GEREA68o5IqLWgOEcERERAQCOHj0KAOjWrRsAID4+HkDDwrmMjAxUVlZCr9cjNjbWdYtsIoGBgWjfvj0A4PDhwwDQ4JaWACvniIiIyLuZTCY88cQTePHFF5UNVUREnsTKOSJqbRjOEREREUwmk1IpJsI5EVadOXMGJpPJqeOJeXOdO3duNvMCara2FH8fDQnnROUcwzkiIiLyRpmZmTAYDACqNyQREXkSwzkiam0YzhERERHOnj0Lg8EAHx8fJCQkAABiY2Oh0WhgNBqRnZ3t1PEsw7nmomY4J2btibDSGeINZUFBgdPBJhEREVFTs5wpLDYkERF5EttaElFrw3COiIiIlJaWXbp0gVqtBgCoVCq0a9cOgPOtLZtzOHf48GEUFhbi/PnzAMx/J84KCQkBYK5ILCoqctkaiYiIiFxBnKsB1kEdEZGniMo5hnNE1FownCMiIiKlnVHNKjHR2jIzM9Op46WlpQFoXuFc586dodPpUFRUhM2bNwMA4uLiEBAQ4PSxNBoNgoKCALC1JREREXmfmpVzsiw7fYzKykqkpKQ0uy4BaWlp+Pzzz1FVVeXppRCRBVE5x7aWRNRaMJwjIiIiu+FcfHw8AOcq5woLC5GTkwMASExMdNEKm55Go1G+/i+//BJAw1paCuJN5aVLlxq/OCIiIiIXsgznioqKlHM3Zyxfvhy33nornnjiiWYV0L366qt4/fXXsX37dk8vhYgssK0lEbU2DOeIiIhaOVmWlXCue/fuVreJyjlnwjlRNRcXFwd/f38XrdI9RGtLccGqa9euDT6WCOdYOUdERETepKCgALm5uQCANm3aAGjY3Lldu3YBAH7++We8/PLLDaq+czdZlpVzVWfbthNR0zEajSgtLQXAyjkiaj0YzhEREbVy586dQ3FxMbRaLTp06GB1m6icc6atZXOcNyeIcE5oTDgXGhoKgJVzRERE5F3EJqS2bduid+/eVp9zlMlkwuHDh5U/r127Fu+//77rFtlECgsLlXnAYr4wEXmeqJrTarUNGitARNQcMZwjIiJq5UTVXKdOnaDVaq1uE5Vz58+fh9FodOh4DOfMWDlHRERE3kicq3Xp0kU513E2nDt9+jQMBgP8/Pzw+OOPAwCWLFmC9evXu3axLma54YzhHJH3EO+ZwsLCIEmSh1dDROQeDOeIiIhauaNHjwKo3dISMFd/BQQEQJZlnD171qHjNedwLjY2Vql4Cw0NRURERIOPJY7DcI6IiIi8iWhh2aVLF3Tp0sXqc45KSUkBYD5/nD59Ov7yl78AAD788EMXrtT10tPTlY/PnTvnuYUQkRXOmyOi1ojhHBERUSsnKue6detW6zZJkpTWlpYXM+wxmUw4efIkgOYZzkmSpFTPde3atVG7NkXlnL22lkajEZ9++ilOnz7d4OcgIiIicpZl5ZwI57KyslBSUuLwMUQ4J86bbr31VqjVamRlZSErK8vFK3admpVzzWFOHlFrYFk5R0TUWjCcIyIiasVkWa4znAOqW1s6Mnfu7NmzuHz5Mnx8fNC2bVvXLdSNRowYAQAYNmxYo45TX1vL//3vf3jzzTfx+uuvN+p5bCkrK8Onn36Kjz76CJ9//jnWrl2LnJwclz8PERERNS8VFRXKxqDOnTsjODgY0dHRAKpDO0eIcC45ORkAoNfr0atXLwDA7t27Xblkl8rIyFA+NhgMKC4u9uBqiEhg5RwRtUYaTy+AiIiIPCc7OxsFBQVQq9Xo1KmTzfs4E86lpaUBABITE6FSNc89QJMnT0bfvn2VisGGEm0t7VXOibDM2Rkvjnj77bexcuVKq88FBgZixYoVygU4IiIian1Onz6NyspKBAYGIiYmBoC5W0B2djZSU1PRt2/feo9hMBiUTgmW83oHDx6Mffv2YdeuXZgyZUrTfAGNZBnOAebWlkFBQR5aDREJDOeIqDVqnlfNiIiIyCVE4BYfHw+dTmfzPiKkqnkxo6bKykps3rwZQPNsaSlIkoSEhIRGh4v1Vc4VFhYCML8RLSoqatRzWTp79izWrFkDABg7dizGjRuHtm3bori4GM899xxMJpPLnouIiIiaF7EpqHPnzkr7bmfnzh09ehQmkwlRUVGIjIxUPj948GAAwJ49e7zyfMNkMikzlMV5GufOEXkHtrUkotaI4RwREVErlp2dDQB1VlOJyrm6wrnz58/jzjvvxMaNGwEAV155pQtX2TyJyrmSkhIYjcZatxcUFCgfi93nrvDOO++gsrISQ4cOxUsvvYS///3v+M9//gNfX1/s2bMHX3zxhcuei4iIiJoXEc6JQM7yY0er+WvOmxN69OiBgIAAFBUV4ejRo65YrktduHABRqMROp1OqRA8f/68h1dFRADDOSJqnRjOERERtWK5ubkAgKioKLv3adeuHQBzmGSrwmvnzp2YNWsWDh48CH9/f7z88ssYOXJkk6y3OQkMDIRarQZgHcQJlp8Ts18a69ixY0pAev/99yufj4+Px8MPPwzA3PJStB8lIiKi5qusrMzpCjUxV84ynOvatSsA82ahysrKeo9hL5xTq9UYOHAgAO+cO5eeng4AaNu2Ldq0aQOA4RyRt2BbSyJqjRjOERERtWKicq6ucE6v1yu315w7ZzKZ8Nxzz6G4uBg9e/bEF198gTFjxjTdgpsRSZLqbG0p2loCjlfOlZSU4Pbbb8dbb70FWZZr3f7WW28BAMaPH2910Q0AbrzxRlx55ZWoqKjAU089pVxYIyIiouYnLS0N11xzDR5//HGb5wS2yLJs1dZSiI2NhV6vR0VFhRJg1XWMQ4cOAQCSk5Nr3S5aW+7atcuhNbmTOI9NSEhAXFwcALa1JPIWrJwjotaI4RwREVEr5kjlHGB/7lxKSgry8/MRGBiI999/X7nQQWaitWV94ZyjlXM7duzAgQMHsHTpUixevNjqtl27dmH37t3QaDS45557aj1WkiQ8++yzCAsLw6lTp3DrrbfinnvuwW+//ebMl0REREReYOnSpSgvL8cvv/yCbdu2OfSY3NxcFBYWQqVSITExUfm8SqVSNvXs37+/zmPk5OTg4sWLUKlU6N69e63bRTh38OBBGAwGB78a9xDnsfHx8co5KyvniDzPaDSiuLgYACvniKh1YThHRETUijlSOQfYD+e2bt0KABg2bBh0Ol0TrLB5Ezs/L126VOu2hlTOiVZUAPDxxx/j888/h8lkwmeffYZHHnkEADBt2jS7IWlYWBg+/vhjTJw4EWq1Gr///jvuvfde5d+RiIiIvF9OTg42bdqk/PmNN95ARUVFvY87deoUAPN5Xc3ztiuuuAIA8O6779rcVCSIyvtOnTrB19e31u1t27ZFXFwcKisrsW/fvvq/GDcS57Ht27dHbGwsAIZzRN5A/MzRaDQIDAz08GqIiNyH4RwREVErlpOTA6D+cC4hIQEAcPToUavPi53aV155pesX1wLYa2spy7JVOJeXl2dznl9NIpzr1q0bAOD111/H9OnT8cYbb+Dy5csYMGAA7rzzzjqP0aZNGzz33HP4+uuvMWLECACwusBHRERE3m316tWoqqpCz549ERYWhszMTKxatarex4lK/Q4dOtS6bfbs2ejcuTMKCgrwj3/8w26rTHvz5gRJkpTqOW+bO2cZzsXExAAwtwwXFTtE5BmWLS0lSfLwaoiI3IfhHBERUStlNBqViq76wjmxm3rXrl3KbI5z587h5MmTUKlUGDZsWNMutpkSbS1rVs6VlZXBaDQCAIKDgwFU72avi5gT8+ijj2L27NkAgPT0dAQEBOCZZ57BO++84/Bu05iYGNx8880AgD/++MPheTVERETkOeXl5VizZg0A4LbbbsN9990HAHj//fdtVupbqiuc02q1WLRoEdRqNbZs2YKNGzfaPIZoe2lr3pzgjXPnysvLlY4R7du3h5+fn3Kexuo5Is/Ky8sDwJaWRNT6MJwjIiJqpS5evAgA0Ol0SkBkT3x8PAYNGgRZlrF27VoA1VVzffr0QVBQUNMutpmyVzknqua0Wi169uwJoP5wrqioSKl07NSpE/72t79h/vz5uPHGG7F69WpMnjzZ6Z2mycnJ0Gg0yMnJQVZWllOPJSIiIvf77rvvUFRUhDZt2mDEiBGYOHEiunbtipKSErz77rt1PjY9PR1AdUeEmrp06YL58+cDAF599VVlNrFw6NAhHDp0CCqVCoMGDbL7PAMHDgRgPrdxpDOAO2RmZgIAgoKClPNe0dpSbDwjIs+wrJwjImpNWnQ4V1xcjIULFyI5ORkBAQEIDg7GwIED8a9//UvZrd4QWVlZWLx4MaZNm4ZOnTrBz88Pfn5+6NChA26++Wb8/PPPLvwqiIiImoYIeiIjIx0KdaZNmwYAWLduHYxGI1taOkDsyLYXzoWEhKBjx44A6p87l5aWBgCIi4tDQEAAVCoV7rrrLjz99NOIjIxs0Pp8fX2VcPCPP/5o0DGIiIjIPUwmE5YvXw4AuPnmm6FSqaBSqZS5s1999VWtFuSW6gvnAODWW29F9+7dUVRUhJdeesmqsv6DDz4AAEyYMAHR0dF2jxEcHKycA124cMGhr62piXDO8mvn3Dki78DKOSJqrVpsOJeRkYFevXph0aJFSElJgSzLuHz5Mvbs2YNHH30UQ4YMqbflgy1nzpxBu3btcN999+HLL79U2nlJkoT09HSsWLECo0ePxu23346qqqom+MqIiIhcQ4RzdV1csTRixAhERUWhoKAA33zzDfbu3at8nmwTuz9rnnOIcC44OFgJ50SrKXvEvLlOnTq5dI39+/cHAOXfEwAMBgOmTp2KO++8k+0uiYiIvMSOHTuQmZkJf39/TJo0Sfl8v379MG7cOJhMJrz44os2r0UUFRUpm4XqCuc0Gg0WLVoErVaLbdu24dtvvwUAHDlyBNu3b4dKpcJtt91W71pF8OUt4ZzlvDkhLi4OgHeFcxUVFfjtt99QXl7u6aUQuQ0r54iotWqR4VxlZSUmTpyI9PR0xMbG4scff0RpaSkMBgNWrFiBwMBA7Nu3D7fccovTx66qqoIsyxg9ejSWLl2KrKwslJaWoqSkBIcPH8YNN9wAAPjoo4+wcOFCF39lREREriPCufrmzQlqtRpTpkwBALzxxhuoqKhAu3btEB8f32RrbO7qa2tpGc7VVzkn5s116dLFpWvs168fAOvKuY0bNyIjIwN//PEHjhw54tLnIyIioob59ddfAQDXX3899Hq91W2PPPIIgoKCcPz4cXzxxRe1His2AUVHR9d6bE0dO3bE3XffDQB47bXXkJ2drVTNXXvttWjXrl29a42JiQHgfeGc5XmrN7a1/PLLL3Hvvffi448/9vRSiNyG4RwRtVYtMpxbunQpDh06BABYs2YNxowZAwBQqVSYMWMG3nvvPQDAhg0bsHnzZqeOHRoair179+Knn37C3LlzlZ1WKpUKPXr0wFdffYVrr70WgPnCJXc7ERGRt3I2nAOAyZMnQ61Wo6ysDIC5paWzc85aE9HS6dKlS1YVaAUFBQCsw7m8vLw657KIyrnOnTu7dI29evWCSqXC+fPnlYtT69atU27/8ccfXfp8RERE1DBiBpw4d7AUFhaGBx98EADw7rvv1gqcRDjXoUMHh57rlltuQVJSEkpLS/HQQw9h69atkCQJt99+u0OP99ZwzrJyzhvDucOHDwMADh486OGVELmPeF8aERHh4ZUQEblXiw3nAGDUqFEYOnRordtnzpypnJAuW7bMqWMHBwcrO8xtkSQJf/nLXwAAJSUldfZ7JyIi8qSGhHMREREYPXq08me2tKybCOeMRiMMBoPyeRHOhYSEQK/XKxewTp06ZfM4JpNJqaxzdTin1+vRo0cPAObquRMnTigXhgBzOMfWlkRERJ4nwjl7s2YnTpyI/v37o7y8HC+//LLV728xb87RcE6tVmPRokXQ6XRK9f7YsWOtwq26NDacW7t2LYYNG4Zhw4Zh1KhRuP766/HDDz806FiyLCsz52y1tfSWABGoDhFPnDjB8y9qFWRZVt4D1dVyl4ioJWpx4ZzBYMD27dsBAOPHj7d5H0mSlOq2TZs2uXwNvr6+ysecO0dERN6qIeEcAEybNg0AEBQUhD59+rh6WS2Kr6+v0jrKsrWlaGsZEhICoHoHvL1w7syZM7h8+TJ8fX3Rtm1bl6/TsrXlV199BcBcFanX65GdnY2UlBSXPycRERE55+LFiwDsV5dIkoSnn34aOp0OO3bswK5du5TbROWcMxe/27dvj7/+9a/KsR2tmgOqw7mGznP7+eefYTQaYTQaUVxcjOzsbKxdu7ZBxyotLUVxcTEAWJ1Hicq5oqIilJSUNOjYriTLshLOFRQU1GqLTtQSXbp0CUVFRZAkyeHwn4iopdB4egGudvToUZhMJgBAUlKS3fuJ2y5cuID8/HyX9jX+5ZdfAAA6nc4lc2FycnKUHXKOSktLa/TzEhFRy5adnQ3A+XCub9++ePXVVxEdHQ2NpsWdSrhceHg4DAYDcnJylBktljPnAHM4t2PHDrvhnGhpmZiYCJXK9Xur+vfvj2XLluG3335DaWkpAGDGjBnw9/fHDz/8gJ9++gnJyckuf14iIiJyjMlkQl5eHoC6W7/Fx8dj4sSJWLNmDbZs2aJ0E3K2raUwc+ZMFBcXIyoqymY7TXsaWzl36dIlAMDChQuh1+vx+OOP48yZMw06lmgb7uPjAx8fH+Xzer0eQUFBKCoqwvnz513encBZFy9etOq0cOLECYSHh3twRURNT/xsatOmjdXrk4ioNWhxV9Qse4W3adPG7v0sbzt37pzLwrnTp0/j3XffBWC+qBUUFNToYy5evBiLFi1q9HGIiIgEk8mk7L52NpwDgKuvvtrVS2qxYmNjcebMGaud47bCOcB+5VxTzZsT+vTpA5VKpVxAi42NxaBBg1BeXq6Ec3/729+aJBgkIiKi+hUWFiqdeeq7fjFy5EisWbMGW7duxRNPPIGKigrlPMTZtnEqlQp33XWX0+sV4dzFixdRUVEBrVbr1ONFONexY0el2i03NxdlZWXw8/Nz6liiKi4wMLDWbXFxcV4TzomqOeHEiRMYMmSIh1ZD5B7i/Y+zGweIiFqCFneFRbQqAKC0kbLF8jbLxzRGWVkZpk2bBoPBgIiICLz88ssuOS4REZGr5efno6qqCiqVijtym5homeRIOCfmytUkwjlXVOTb4u/vj65duyp/vuGGG6BSqTBs2DC2tiQiIvICYlNVSEhIvUFX//79odfrcfHiRRw7dgwZGRmQZRlBQUHKPNymFhoaCp1OB1mWne4EJMuy1XzeoKAgZeNzVlaW02sR13zshXNAw9tvulLNcI4dkag1aGhVLxFRS+AV4dwnn3wCSZIa/F9DhwK7UmVlJWbNmoW9e/dCq9Vi+fLlykkeERGRtxHz5iIiIqBWqz28mpbN1kUfccHJMpyTJAl5eXk254uIcK5Tp05Ntk4xd06lUmHSpEkAzC26r7rqKgDATz/91GTPTURERHWrb96cJZ1Op1Rcbd26Fenp6QDMF78lSWqyNVqSJKnBc+fKyspgNBoBVM/nFdVzDWltWVc4JzZRNST0czURzomvVZz/EbVkIpxzpm0uEVFL4RXhnCtZnmxZ9uquyfI2WydozqiqqsLs2bOxbt06aDQafP755xg7dmyjjmnp3nvvRUpKilP/rVu3zmXPT0RELY8I5yIjIz28kpZPXPSxbL1tuRscMFf0i92iNSvUSkpKlItaTRnOXX311ZAkCWPHjrVqdXrNNdcAMIdzYq4vERERuZeoPnP03G3EiBEAzOGcuPjtbEvLxmro3DlxnqTT6ZQWlmJub2PCuYCAgFq3RUdHA6gOPz1JhKhjxowBYA4tKisrPbgioqYn2loynCOi1sgrZs7dfPPNmDBhQoMfL3adA7CqVsvKykKvXr1sPsZyV1RjKtyqqqpwyy23YNWqVVCr1fjss89w0003Nfh4tkRFRTVoHhAREZE9IpwTFySo6YjzDBHOVVRUKJuERDgHAElJSTh16hQOHz6sXFADqlsaRUdHu2SWrT29e/fG+vXra7U5HTJkCPR6PXJycpCSkmL33IqIiIiajjOVcwAwfPhwqFQqpKamwsfHB4D728Y1NJwT8+ZCQ0OVSj8Rzp09e9bpddRVOSfm9+Xl5Tl9XFcTlXNDhw7FqlWrYDAYkJmZydCCWqyioiLltefuzQNERN7AKyrnfHx8EBER0eD/LPutd+/eHSqV+cuqazaKuC0mJqbeYcr2iIq5FStWKMHcjBkzGnQsIiIid2LlnPuIyrns7GyYTCYUFRUBMLePtNzB3bNnTwC1z19SU1MBNN28uZpr1el0Vp/T6XQYOXIkAODHH39s8jUQERFRbc6Gc6GhocqGmkOHDgFonuGc0JjKuZKSEgB1h3O22oq7k9FoVDolJCQkKN0SOHeOWjJR1RsTEwO9Xu/h1RARuZ9XhHOupNfrMXz4cACwO4tOlmVs3LgRABrcfrKqqgqzZs3CypUrlWBu5syZDVs0ERGRm7Fyzn0iIyOhVqtRVVWF3NxcFBYWAjBfIBIbigBz5RwAHDlyxKp9pLig5o5wzh7RXmnz5s1sbUlEROQBzoZzAKwq8QH3h3Nig5KzM+dcHc7VVTknOgZ4unLu7NmzMJlM8Pf3R1hYGMM5ahXY0pKIWrsWF84BwLx58wAAW7Zswe7du2vdvnr1auUXwNy5c50+vqiYW7VqFTQaDZYvX85gjoiImhURzrFtctNTqVTKzvFz584pc1Qs23IDQGJiInQ6HYqLi5ULTyaTCTt37gQADB482H2LrmHIkCHw9/dHTk6OEhYSERGR+zQ2nNPpdMr5iLs0duacZfvvtm3bAjB3IjAajU4dz5G2lkVFRR6d7ybmzbVv3x6SJCnh3IkTJzy2JqKmJirn3L1xgIjIW7TYcC45ORmyLGPq1KnYvHkzAPMFrtWrV2P+/PkAgPHjx2P06NG1Hr9w4UJIkgRJkpQTJEHMmFu5ciU0Gg0+//xztrIkIqJmh+Gce4m5c+fPn7d5wQkANBoNunfvDgA4fPgwAODo0aMoKCiAv7+/R2e96XQ6XHXVVQAcb20py7Ky852IiIgapyHhXPv27ZWKs4SEBKuKfXewDOdkWXb4cbYq50JDQ6HX6yHLMrKyspxahwjnLNuJC8HBwcrfiydbW4p5c+3btwcAdO7cGQDDOWrZWDlHRK1diwznNBoN1q9fj4SEBGRlZWHMmDHw9/eHv78/pk+fjqKiIvTt2xfLly93+tjbt2/HihUrAACSJOH+++9HTEyM3f9Wrlzp6i+PiIioUWRZZjjnZqKt07lz55S2ljXDOaD23Lnt27cDMFfNaTQaN6zUvmuuuQaAY60tTSYTHn30UVxzzTX4z3/+4/WtMJ25YEhERORusiwr4Zwz84IlSVKq5xITE5tkbXUR7dPLy8uV8x9H2NrIJElSg1tb1lU5p1KplBDQm8I58e914cIFZWYeUUsjwjlWzhFRa9UiwznAvCvs4MGDWLBgAZKSkiBJErRaLfr374/XXnsNu3btstqF5SjLi0sVFRXIzs6u87+ysjJXfllERESNVlxcjPLycgDOXeChhrMVztVsawlUz50T4dyOHTsAQJmn60mDBw9GQEAAcnNzcfDgwTrv+/777+N///sfAGDZsmV4+OGHUVpa6o5lOq2oqAgTJkzAiy++6OmlEBER2VRcXKy0cnSmcg4Abr/9dsyaNQt33HFHUyytTjqdTpnp5kxrS1uVc0D13LmzZ886tQ4RbtkK54DquXPeFM4FBQUp4SbnzlFLVFpaqmwYTUhI8OxiiIg8pMWGc4D5xGvRokU4dOgQSkpKUFRUhD179uCRRx6BTqez+7iFCxdClmXIslzrF8TIkSOV2xz579Zbb23aL5KIiMhJubm5AMzhkI+Pj4dX0zqItpYXLlxwKJxLTU1FTk6O0t5y6NChblqpfTqdDiNHjgRQd2vLrVu34v333wcATJkyBTqdDr/++ituvfVWp9tQucOhQ4eQnZ2thIlERETeRlTNBQYG1nktw5agoCA8/PDDSujjbg2ZO2evBXhTVM4B1XPn8vLynDquq8iyXCucA9jaklo2MW8uIiICQUFBHl4NEZFntOhwjoiIiGrLzs4GwJaW7mRZOScuONkK52JjYxEaGorKykosW7YMsiyjc+fOXvNvNWbMGAD2W1tmZmZiwYIFAIAZM2bgqaeewgcffIDIyEicPn0ad9xxR615vp4mAsOCggJUVVV5eDVERES1NWTenLdoSDhXX+VcU4VznqqcKygoQFFREQAgPj5e+XynTp0AsHKOWibOmyMiYjhHRETU6ojKOW8JfFoDy8o5ccHJ1sw5SZKUuXNr164FAAwbNsw9i3SAaG158eJF7N+/3+o2k8mEJ554AiUlJejduzcefPBBAECPHj2wbNkydOzYEbm5uZg/fz5SU1Pdv3g7zp8/D8C8a1382xAREXmTlhDOid+3jrAXzrVt2xaAc+GcyWRSWmsHBATYvI/4e/VU5ZyomouJiYGvr6/yeVbOUUsmNuxx3hwRtWYM54iIiFoZVs65X2RkJFQqFSorK5Xdz7Yq54Dq1pZitow3zJsTtFotRo0aBQBYv3691W2//PILUlNTERgYiFdeeQVarVa5LTIyEkuWLEG3bt1w6dIl3H333Thy5Ihb126PZatNT86aISIisqc5h3Oie4CjlXNGo1EJ0+xVzp0/fx4VFRUOHa+0tBSyLAOwH855uq2lrZaWgPUsYjGbi6ilYOUcERHDOSIiolZHXOCJjIz08EpaD7VaXautk63KOQBK5RwA+Pv7o1evXk2+PmfcdNNNAIANGzbg3Llzyuc/++wzAMC0adNsXjwMCQnBO++8g+TkZBQVFSntLz3Ncie/py7KERER1aU5n7s529ZStP9WqVS1wrSIiAj4+PjAZDI5XIknWlr6+PjYndfX2LaWp0+fblR4Zi+ca9OmDfr16weTyVRrUxRRcyfCOVbOEVFrxnCOiIiolRFtLZvjBZ7mTOwcF+xVzlmGc4MHD4ZGo2nSdTmrZ8+eGDJkCEwmEz755BMAwIEDB3Dw4EFotVrMmDHD7mMDAwPxr3/9C4C5lY3YGe9JrJwjIiJv15wr5xoazoWEhEClsr5kJUmSUj139uxZh45XUlICwP68OQAIDw8H0LBNOgUFBZg9ezZmzJiBzMxMpx8PVLf3S0hIqHXbjTfeCABYt26dzXm/RM1RaWmpssmPlXNE1JoxnCMiImplGM55hpg7J9gL54KCghAfHw/Au+bNWbr99tsBmFtbZmdnY9myZQCA66+/XrnAZU9YWJhyn9OnTzfo+S9cuIA//vijQY+1VFpaiqKiIuXPrJwjIiJv1BLCuby8PKVld10swzlbxDmSo0GYqJyrK5xrTOXcqVOnYDQaUVxcjEcffRQGg8HpY4h/3+jo6Fq3jR49GkFBQbhw4QJ27drl9LGJvNHx48cBmL/n7b3WiYhaA4ZzRERErQzDOc9wtHIOAB599FHMmDED1113XVMvq0H69u2Lfv36obKyEi+99BK2bt0KALjlllscenxiYiKA6nY2zjCZTLj33ntx55134sSJE04/3pJlW06AlXNEROSdmnM4FxwcDF9fXwDVc4/rcunSJQC1580Jbdu2BQCcOXPGoed3JJwTm4YKCwtRVVXl0HEFy4rAU6dO4bnnnnO6wk1sFLJ1bqjT6TBhwgQAwNq1a506LmDeSPWPf/zD6a+LqCkdO3YMANCtWzcPr4SIyLMYzhEREbUiVVVVSgDBcM69LMM5vV4PrVZr977Dhg3DY489Znc2ije44447AADbt2+HLMsYMWKEzXZMtojZEg0J5/744w9lt7zYddtQDOeIiKg5aM7hnCRJTrW2rC+cE20tnQ3nas6vsyRaaMqyrDy/o8S5RI8ePaDVarFlyxZ8/PHHTh2jrnAOACZPngwA2Lp1q7LJzhFVVVV47bXXsGbNGuzdu9epNRE1JYZzRERmDOeIiIhakby8PMiyDJVKxRYibmbZ1rIl/N0PHDgQvXr1Uv48Z84chx/bmMq59evXKx83dLaLIC6oiZk2bGtJRETexmAwKK0Sm2M4BwBt2rQB4Fg7axGO2TtXcnbmnCOVc5bnxc5u1BHnEiNGjMCTTz4JAHjnnXccPkcxmUzKGu2Fcx07dkSfPn1gMpnwzTffOLy248ePK987J0+edPhxRE1NhHPdu3f38EqIiDyL4RwREVErYrnzWgQS5B6WlXN1tbRsLiRJwt133w1JktCvXz/06dPH4cc2tHKutLQUmzdvVv7s6K55e8QFtU6dOgFgOEdERN5HnLvp9Xro9XoPr6ZhxGae/fv313tfMXOuvsq5rKwsVFRU1Hu8kpISAHWHc0D13DlnzwVENWBcXBwmTZqEpKQkANXhgyPrk2W53jVOmTIFAPDVV1853DbTcj4vwznyFuXl5UhPTwfAyjkiIl6VIyIiakXEBR62tHS/6OhoJRBtCeEcAAwaNAgrV67Ev//9b0iS5PDjOnbsCMB8QUvs6HbEpk3/z955h8dRX+v/ndnVSlp12ZJtuRfZuDdwAWPAphgCuTQbSDEEfkBCAkkgBSe5YHJDTQjEJIROMCGQ+NJ7BxsXbGNw773Jkq2ulXa1mvn9sfd8Nbuaul3S+TxPnmBtmy0z853znvc9H8Dv94vPMV7OOSqkcawlwzAMk2505khLghp47IhzVrGWpaWlyM3NRVtbmy0nnh3nHNAuzkXrnKPozgEDBoT93Yq6ujoA1pHns2fPRn5+Po4ePYrXXnvN1nNrxblo0goYJhHs3LkTiqKgR48enfq4xjAMEw9YnGOYToqqqli9ejV27NiR6k1hGKYTQXMq+EIo+bhcLvTq1QtA14i1JIYMGYKcnBxHjykoKBBFMDuFNYKinC688EIAIeccdZtHQ6Q4V1tba7sbnWEYhmGSQVcQ50aPHg2Xy4XKykrLuXPknDNaK0mShPLycgChIr8VdsW5Hj16AHDmnFMUJcw5BwD9+vUDEHL22YHmzeXn55veLzMzEzfeeCMA4JFHHrEUERVFCRNDd+/eHdOaiWHixdatWwGwa45hGAZgcY5hOiVfffUVrr76atx000244YYb4Pf7U71JDMN0EkicY+dcaqBoy67inIsFp3Pn9u7diw0bNkCWZVx//fWQZRk+ny9qt5uqqqJwNnr0aEiSBEVRRFGQYRiGYdKBriDOZWVliUK8lXvOauYcACHO2WlUJXEuNzfX9H7ROOeOHz+OYDAIl8sl1tYk0tkV58g5ZyXOAcDcuXNx0kknoaGhAQ8//LDpfffu3Yv6+npkZWXB5XKhqakJlZWVtraJYRIJRb6yOMcwDMPiHMN0KgKBAG699VbceOON2LJlC4BQRv3mzZtTvGUMw3QWWJxLLdRNTd3Z3Rmnc+fINTdjxgz06dNHxEdFO3euoaFBRGr269dPCKY8d45hGIZJJ7qCOAfYj7a0irUEgOHDhwNIjHPOiTh39OhRAKHocpfLBQDo27cvAOfOOTuNW7Is4ze/+Q0kScI777yDNWvWGN6XIi3Hjx+PgQMHAuC5c0x6wOIcwzBMOyzOMUwn4v3338fSpUvhcrkwd+5cTJ06FQCwfv36FG8ZwzCdBRbnUsv3v/99zJs3T8QydmecOOcURcHbb78NALjooosAAP379wcQ/dw5Kpr16NEDmZmZUc+aYRiGYZhE0p3EOUVRhFhlR5zbsWOHZVRjY2MjAPsz55w06VA8NiUjAO3i3NGjR9HW1mb5HHZjLYlRo0Zh7ty5AID77rsPgUBA935ff/01AGDSpEli1i+Lc0yqCQQC4nfI4hzDMAyLcwzTqdi3bx8A4LLLLsOvf/1rnHbaaQBYnGMYxj5dpcDTWRk8eDB+9atfobS0NNWbknKcOOcOHz6MEydOwOPxYMaMGQDaxblonXPU7U5FNNon2DnHMAzDpBNdZe02fvx4ACGBiASpSOrr68XsV7NYy6FDh0KWZdTW1orPxwi7zrlomnRoLUFRlkDoe/J4PFAUBceOHbN8Doq1dBJ5/qMf/QjFxcXYv3+/SBbQoqqqcM5NnDhRiHN20woYJlHs3r0bbW1tyM/PFykYDMMw3RkW5ximE0EFyAEDBgBov8DZsGGDuIhhGIYxg51zTLpAzrmjR4+KeEkjKioqAIQ60zMyMgC0nwtjdc5Rtzs75xiGYZh0hNZunV2cKy4uxoABA6CqKjZu3Kh7H4q0zMvLg9vtNnyuzMxMsQ6wirZ0GmvppEmHxDmtc06WZfFvO9GWTp1zQOi9zJ8/HwBEsoCWQ4cO4fjx48jIyMDo0aMxbNgwAOycY1KPNtJSkqQUbw3DMEzqYXGOYToRJM6RW2DEiBHIzMxEfX099u/fn8pNYximE9Da2iqKHizOMammoKBACGLkDDdCr/gVq3OOoqjIOcfiHMMwDJNuBINBcZ6jubWdGatoS1qnmrnmCDtz5xRFQVNTEwAgNzfX9PloHVBbW2u78VUv1hJoX1vQ7WaQc86JOAcA559/PmRZxoYNGzo0KlGk5ejRo5GZmRnmnOOmXiaV8Lw5hmGYcFicY7oVNTU1lpn06Yqqqh3EObfbjdGjRwPgaEuGYayhTmC32+0oOodhEoXdmCWtc46gjvmDBw9GdW6PLKhRx7xRPFZrayueeOIJyw59hmEYhokXhw4dQjAYRHZ2dpeIgCNxzujatba2FoD5vDmivLwcQGjunBFNTU1ijWAlztFrKooitsMKvVhLoF2cc+Kcc7o279GjB6ZNmwYAeOedd8Juo0jLSZMmAQjVDzIyMtDS0iLWVAyTCkicGzlyZIq3hGEYJj1gcY7pNrz99ts499xz8fTTT6d6U6Li+PHjaGlpCYvJAKwvcBiGYQhtpCXHiDDpgF1xjopf2sJkWVkZZFlGc3NzVHPinDrnPvvsMzzxxBO48847Hb8WwzAMw0QDnR8HDx4MWe785Ru6dt20aRMCgUCH20kUi5dzjiItMzMz4fF4TJ/P7XaL17XjolcURbd5CGhfWxw6dMjyeaKJtSS+9a1vAQiJc1pHnHbeHAC4XC4MGjQIALBr1y7Hr8Mw8SAYDIr9lZ1zDMMwITr/6o5hbFBXV4cHH3wQqqpi7dq1qd6cqCDXnHbeDtA+d47FOYZhrOB5c0y6EYtzLiMjQ/zb6dw5VVUNnXNGBbnKykoAoQ79aOfcMQzD2MHv92Px4sVYsGCBiLxjuic0I4zOl52d/v37o6ioCIFAQDhotFCspRPn3L59+3SFPgBobGwEYD1vjnAScV1dXY1AIABZllFaWhp2GznpnMRaRpNqccYZZ8Dr9eLIkSOiHvD555/jyJEjkGUZ48aNE/elWb9Way6GSRR79+5FIBBATk6OELAZhmG6OyzOMd2Cv/3tb6IjzU60RDpCXXcUaUmMHTsWQKgwyXNyGIYxg+L6evbsmeItYZgQsTjngOjnztXU1MDv90OSJPGcVJAzcuFRwRAAPvroI0evxzAMYwdFUfDOO+/g0ksvxaJFi/Dhhx/y8aabs3fvXgBdR5yTJEk0l+o1zTqZOVdSUoKCggIoiiJEzEjIOWdXnKNGHTuOfFqblJaWwu12h91G8wGdxFpG45zLysrC2WefDSCUFLRz50787ne/AwDMmzcPOTk54r70GzL6rBgm0ZBrrry8vEs4gRmGYeIBHw2ZLs+WLVvw6quvin8fO3YMra2tKdyi6KDCI83YIfLz88VCe8OGDUnfLoZhOg/knGNxjkkX6Px15MgRNDc3695HURQcO3YMQMfYKDonOnWyUSd7SUmJcKOTOFdTUxMWDUVoxbkPP/zQ0esxDMPY4dZbb8Udd9yBY8eOifhpjqDr3pCQQq6nrsD06dMBAIsXLxYCF+HEOSdJkmW0pVNxzolzjrY9cm0CtDvnampq4PP5DJ9DVVXhnItGnAOACy+8EEBobXLrrbeiubkZU6ZMwc9+9rOw+9FviMU5JlXQb2/YsGEp3hKGYZj0gcU5pkujKAruu+8+qKqKCy64AFlZWVAUpcNFQGeACo/UhaeF584xDGMHjrVk0o3CwkJRgNu3b5/ufU6cOIHW1lbd2KhonXOR8+aA9oKcoii6MXJacW7nzp3Yv3+/o9dkGIYxQ1EULF++HADwwx/+EL/5zW8AsDjXnQkGg+JcM3jw4BRvTfy4+OKLMW7cODQ2NuJ3v/sd2traxG1OxDmgPdpyx44dureTOJebm2vr+aJxzumJc7m5uUJsM4u29Pl8oiEomlhLIFQL6NOnD5qamnD06FH0798f9913Xwc3H4lz+/bt021CYphE0xWbDRiGYWKFxTmmS/Paa69hy5YtyMnJwU9/+lNRhOuM0ZZUeIyMtQR47hzDMPZgcY5JRwYNGgQAhmIXzZsrKSmBy+UKu42cc07FOXotrTjndrtFYUyvY762thYA4PF4AHC0JcMw8aWpqQmqqgIA5s+fj9GjRwMINQPQ35nuxaFDhxAMBpGdnd0h1rkz43K58Ic//AFerxfr16/HM888I26jc61dcY6cc1binFPnnB1xjkQ3cslFYifakpqBPB4PMjMzbW1jJLIs44ILLgAQEgUfeughXRdeWVkZMjMzEQgExMgMhkkm7JxjGIbpCItzTJelra0Nzz77LIBQ92mPHj1EES5dFqMHDhxAMBi0vJ+qqmKbI2MtgXZxbuvWrYbDsBmGYVicY9IREueMnHNmnela55yT4vWWLVsAACeddFLY38065qmbf86cOQA42pJhmPjS2NgIIFSk93g8GDRoEFwuFxobG1FZWZnirWNSAc1jHTx4cJebz1RWVobbb78dAPDkk09i0aJFuOmmm4RT1M7MOaDdOWckYtN+lexYS6BdtDMT52jeXLSuOeJ73/serrjiCjzyyCNiXRWJLMs8d45JGeTsBNg5xzAMo6VrrfAYRoPL5cLTTz+N+fPnY968eQCcDWZONG+88QYuvfRSISCaUV1dDZ/PB1mWdRf/ffv2RXFxMVpbWw27BhmGYY4fPw6AxTkmvRg4cCAAa+ec0UwXWZbR0tIixGcrVFXF5s2bAUA4Uwizohx181988cVwu93YtWuXoaDIMIwz2tra8M4779gqiHdVIuP3PB6POD5ytGX3pKtHwF1wwQWYM2cOFEXB4sWLsXr1aiiKgiFDhth+z4MHD4bL5UJDQwO+/vrrDrc7dc7FK9YSgK3UHhLnop03R+Tl5eGXv/wlxo4da3o/ikfdu3dvTK/HME6hZoOSkpKYf+8MwzBdCRbnmC5NaWkpbrnlFhGDlS7inKqqePHFFwEAq1atsrw/xXX17t1bxGlpkSRJRJ1oZ+IwTHfF7/fj9ddfF92yDBAIBEQBoGfPnineGoZph4rP0Tjn3G636Ey3G21ZUVGB6upquFwujBgxIuw2ozirYDAoCnwDBgzA1KlTAXC0JcPEiyeeeAJ33HEHHn300VRvSsqgNYt2NhZFf7E41z0hAaUrzZuL5Pbbb8esWbMwa9Ys/OpXv8KSJUvw73//23bEo8fjwSmnnAIglJbz2GOPhSXTRBtradUooKqqZawliXNmM+co1jJW55xdqEGPawZMsunqzQYMwzDRwuIc061Il1jL7du3Y+fOnQDszZGggiOJi3rQhTyLEQwDPP/88/if//kf/OUvf0n1pqQN5JrzeDy2CxQMkwy0M+cURelwO4lzRvN2KO75wIEDtl6PXHPDhw/v0PBi1DFPrjlZlpGfn49zzjkHAEdbMkw8aGhowEsvvQSge4tQevF7LM51b7pDMTs3NxcPPPAAHnjgAcybNw+DBw+GJEmOnuOee+4RDrynnnoK11xzjXDTRzpSraB1QHV1te6ahKipqYHf74ckSejVq5fufZw455IlztHrkCjIMMmCzmNd+XjGMAwTDSzOMd0KrXMulYPV33jjDfHfPp9PFB6NIHFOb94cweIcw7SzZs0aAMBnn31memGdDmzcuBFLly5N+Oto5805LXowTCIpKyuD2+1GIBAQEZZa6G9W4pzdiCajSEvAuGOeOswLCgogyzJmzpwJWZaxe/du0454hmGsWbJkCZqamgCYO0y6OnoiAotz3ZdgMCjinmlOGKNPfn4+/vCHP+Dee+9Ffn4+tm3bhsceewyAc+dcUVERAEBRFCGc6UFrk5KSEmRkZOjeRyvOGdUeSCRLVswfvY7Ze2OYRNAdmg0YhmGigcU5plvRp08fSJIEn88nuuCTTSAQwHvvvQcAomOfXHRGkDjXv39/w/vQhTwVNximu9La2opNmzYBCBXU6b/TEVVV8bOf/Qy33XabrigRT7TiHMOkEy6XSwhsenPnrGa6jBo1CgBs7+tm4py2Y14LiXNUtMvPz8f48eMBACtWrLD1ugzDdMTn8+GFF14Q/6Y5y90RPedceXk5gFDzgTaqj+n6HDx4EMFgEF6v17A5hQnnnHPOwQMPPAAg5GxvaWnR3a/MyMjIEAKWWbQlNRIYrU2AUFORLMvw+/2Gz5Vs5xyLc0yqIHGOmk4YhmGYECzOMd0Kj8cjCtOpirZcunQp6uvrUVpaitmzZwOIjziXk5MDgJ1zDLN9+3b4/X7x788//zyFW2NOVVUV6urqoKoqtm/fnvDXAlicY9ITo7lzDQ0NounEqDg5ZswYAMC2bdsQCARMX6etrQ1btmwBYC7OGcVaFhYWir+ddtppAIDly5ebvibDMMa8+uqrqKurQ//+/UXR2CpRoqui55zr3bs3cnJywlxUTPeA3OCDBg3ixAMHTJo0CWVlZfD5fPj0008dO+cA4/mzWo4dOwYAhpGWQGguLt1uFG1JIlmynHMca8mkgurqaiFQd+UZmgzDMNHA4hzT7dBGW6YCirS88MILMWLECADAjh07DO+vqqoj5xyLc0x355tvvgEAeL1eAMCyZcuS9tp/+9vf8Pjjj9u+v7bQRt2EiYLFOSad0c6d00JF+oKCAmRnZ+s+tn///igsLEQgEDA9nwKhYmdLSwu8Xq94TS1WsZZace7UU08FEIrRtRIFGYbpSCAQwOLFiwEA11xzja35TF0ZPYePJEkiAiwZ0ZbBYBCLFi3C2rVrE/5ajDkcARcdsizjoosuAgC8+eabMYlzZs45Eu569uxp+lxWxzVq/km2OMfOOSaZ7NmzB0BofzBazzMMw3RXWJxjuh0kzqXCOVdZWYlVq1YBCIlzw4cPB2B+sV1TU4OmpiZIkiQW93qwOMcwIUicu/LKK+FyubBnzx4hcCeShoYGPPvss3jyySfR3Nxs6zEHDhwQ/x2LOGcnAuz48eMArIsIDJMKjJxzFPdqFhslSRLGjh0LANiwYYPp61Ck5ahRoyDLHZfB2lhL7bxKKp5RrCUQipsrKSlBS0sL1q1bZ/q6DMN05I033sCJEyfQq1cvXHDBBWKdm6p0i1Sj55wDkjt3bvny5Vi8eDH+8pe/JPy1GHOomM3z5pzzrW99C0CoeYaujSP3KzOMXPRaSLgjIc+IsrIyAMbzNFMVa0nJHbESj+dguj7cbMAwDGMMi3NMtyOVzrm3334biqJg4sSJGDBggLjYPnjwoGExnwoUvXr1EjPq9OCZcwwTukAkce7000/HpEmTACTHPafd96jAZkWszrm2tjb8/ve/x8yZM7FgwQIRsaMHOedYnGPSESPnnB1xDoAQ5zZu3Gh6P7N5c0C7+NbW1ha2H0fOnANCoiC553juHMM454svvgAAXHHFFcjIyLAsYnd1jGZjJVOcI0Gou0aLphMszkVPWVkZTj755DDhyIk4Z8c5Z1eco1hLozV6qmItFUWJeb6nqqq46aabcOmll9puTGS6JzxvjmEYxhgW55huRyojcygi5rzzzgMQWsz36NEDqqoaFubtRFoCPHOO6Vo0NTVF1Tl/4MAB1NbWwuPx4KSTTsLMmTMBJGfunPYCNxpxbt++fQgGg7ZfLxAI4Je//KWIyv3www9x2WWX4ZlnnukQsacoiphpZ3UsYZhUQM65qqqqMKGbCsR2xTkr59ymTZsAGItzGRkZokBGgjagL84B7XPnSGRgUktTUxPWr1/PnfydhMrKSgDtxbpUR8+nGiPnXHl5OQDrGdXxgNzLtbW1HNebQrQzBlmciw6KtgSAzMxM0ybXSLQueiPsinOlpaUAwtcUWmj2W7Kcc9rPIta5czt37sSaNWtw4MABy+YopntDzSXsnGMYhukIi3NMtyOVkTm0KB8wYID4G11wG83Jodg7q4I6x1oyXYWlS5fi4osvxiWXXBIW+2gHcs2NGTMGGRkZQpz7+uuvEz5bIVbnXDAYtP1+fT4fbrnlFixduhQejwe/+tWvMGHCBLS0tODRRx/FH/7wh7D7b9myBfX19cjNzcWoUaNsvQbDJJO8vDxR4NLuFyTO9e7d2/Txo0ePhizLOHbsmCj4R9LS0iKKA2PGjDF8Lr0mHiNxbsqUKXC5XDhw4EC3jeJLJ/7yl7/guuuuw5IlS1K9KYwNyElCzhKeOacfv0fFzIqKioSv87XRwkZiApN4jh07hmAwCI/HY3n+Y/SZNWuWmD/tZN4cEN9YSzPnnKqqSXfOAe1CYKzi3Mcffyz+m5qfOiN+v99UiGViQ9uIzuIcwzBMR7q0ONfQ0ICFCxdi7NixyM3NRUFBAU455RQ8+OCDMXUCfv755/jtb3+L8847D+Xl5SgqKkJGRgZKS0tx1llnYdGiRWzrT2OoK7eysjLpHaE084kW/AAs587Zdc6xOMd0dnw+H/7nf/4Ht956K2pqaqCqqnB72YXEuQkTJgAIFfqGDh0KRVGwfPnyOG9xONrjvh1xLhAIiOgucgXZjba8/fbbsXbtWni9XjzyyCOYN28ennzySdxxxx0AQi467bFg5cqVANqFBIZJRyjaUlscplhLq+Kk1+sV7hujAtH27duhKAp69uyJkpISw+fSc+/QzLnCwsKw++bm5mL8+PEAONoyHaDY0qeeegotLS0p3hrGDL/fLwrD5CyhWMvDhw93S/ejUaxlfn6++IximU9rhaqqYcdfo0YHJvGQkNO7d29IkpTiremcZGdn4+yzzwbgXJyzirVUVVXcpr2u14PWG3r7U0tLC1pbWwEkV5yj14q1cfGTTz4R/91ZnXNffvkl/uu//gsXXnihWHMy8aWyshJNTU1wuVwiKYNhGIZpp8uKc/v378e4ceNw1113YdOmTVBVFX6/H2vXrsUvfvELTJs2TXRBO+WPf/wj7rnnHnzwwQfYtWsXWltbkZmZiaqqKnz22Wf46U9/itGjRxs6oZjUUlBQILrokjnTIhAIiAWwduYTFRONfi/UiW9XnOOZc10fVVVRV1eHioqKLlO8am1txbXXXovXX38dkiSJi2KzGWp6RIpzAHDGGWcACDnyEolT59zhw4ehKAq8Xi9OOeUUAO3zRcw4duwYVqxYAUmS8Nhjj2Hy5MkAQvOvLrroIgwaNAitra1hc/ZWrVoFAJg+fbqj98QwyURv7pzdWEvAOtpSO2/OrNip57CnNWOkOAe0R1smugGAMUdVVfGdVVdXs3suzaHze3Z2tljD9u7dG7Isd1sXg5FzDkjO3LkTJ06ErWXYOZc6aP8gUZaJjrlz58Lj8ThOjbByzjU0NIgo+khHfSTknNOLiqXagNvtRnZ2tqNtjIV4OOf27t2LvXv3in9Tza2zEAgE8PDDD+PHP/4xjh8/jkAgwOu4BEFNJQMHDkRGRkaKt4ZhGCb96JLiXDAYxEUXXYR9+/ahT58++PDDD9HU1ASfz4eXXnoJeXl5+Prrr/G9730vquc/++yzsWjRIqxbtw719fVobGxEY2Mjjh8/jkWLFiE7Oxt79+7FJZdcAkVR4vzumFiRJEl0xSczgoqKDNp5NkC7c27nzp0dFrSqqoqYO20Uph7amXN2F8ZNTU3YuHFjp1pId2def/11fOtb38L06dMxe/ZsXHjhhfjnP/+Z6s2KC9u3b8euXbvg9Xrx+OOPizkRTjoYT5w4gYMHD0KSJFGkB4BTTz0VALB+/fr4bnQE2plzdhysJEAMHDhQFN3sdMR/9tlnAEICZGSxQZIkzJ49G0B71ExjY6PoZp02bZrl8zNMqqBuWnJuBAIBURiLhzhnNW+OiFwjKIoiClh6RTg6xqxduxZ+v99yO5nEUFtbGyYsPPfcc2HHZSa9IBdJaWmpEMszMjJEIbs7RltSY4+eyycZ4pzWNQc4b5Bi4gftH7Q/MNExcuRIvP322/jv//5vR4+jJkFK8oiErutzc3MtZ9nl5eUhMzMTQEfBm9YW+fn5SXVIkjgXi3OOXHNTpkyB2+1GTU2NaKhKd9ra2vDDH/5QXEdTneXLL79M5WZ1SZqamvDOO+8AaD+PMQzDMOF0SXHuueeeE4XIl19+WcQZyLKMK664Ao8//jgA4J133gnLybbLz372M9x8882YOHFi2MVTjx49cPPNN+Phhx8GEJrxQ1FiTHqRioHz2khL7eJ74MCBcLvdaGpq6rCgraurE0V+6uQ3grpsFUWxHav6hz/8AT/4wQ/wk5/8hGMcOgEvvviimEFBkFDT2SHH2JgxYzBp0iQRYefkd0ni27Bhw8KOzRSTdfz48YQ2TGiLwHYudkl414pzdopun376KQDgzDPP1L2dxLkVK1bA5/Nh9erVUBQFAwcOtCVwMEyqiHTO0f6flZUlCklmjBs3DgCwbds2EROlhUQ7s3lzQEfnXENDgzh26Dnnhg0bhp49e8Lv92PLli2W28kkBvq+evTogf79+6O2thb//ve/U7xVjBFG4oM22rI7EQgExHFLzzlH6yKzGVixonUtA53LObd9+3bMnTtXrJE6O5HzGJnoKSoqgtvtdvQYEudaW1t10zDszpsDQo1z5ICMFLzpesHOGieexCPWkupoc+bMEc3GnSXacuvWrdiwYQOysrLw5z//GQsXLgQQarLi5vrYodjXF154Ad/+9rfx3nvvAQBmzJiR4i1jGIZJT7qsOAcAZ511lm6E15VXXonBgwcDABYvXhz319c6E5LpzGLsoxdZlWhInNNGWgKhLuEhQ4YA6FiYp3lzpaWlouPOiKysLMhyaJe249pRVRWrV68GEOoSmzdvHl555RV20aUxVKh+4okn8NJLLwEIXVzoFaE7GyTO0b4QjTinF2kJhC6cJUmCoihiblQi0IpzdmItqUN9wIABYjj2oUOHTJ03dXV1WLduHYDQOU6P8vJy9O/fH4FAAF988QVHWjKdBnLOHThwAIqiiOhpuzN3+vfvj4KCAgQCgQ5R0RUVFaioqIAsy5biHDXwHD16FIqiiEjL3Nxc3TgeSZLEuqI7RvGlC7SmGzhwIK6//noAwPPPP8+zeNMUo9g+2pe6mzhH6wZJkkT8vhZKyEikG5TWJVlZWQA618y5999/H3v37sX777+f6k2JC1pnKZN8PB6PEMn1zuskklvNmyPoe4zcp0gcS+a8OSD2WMvDhw9jx44dkGUZM2fOFMkFRjN/I1m6dCkeffTRlAlh1HhQXl6OmTNnYvTo0fB6vaivr3c875wJoaoq/vznP+Pyyy/HjBkzcO655+Khhx5CXV0dBg4ciPvvvx/nn39+qjeTYRgmLely4pzP5xNZ0UYHf0mSMGfOHADABx98EPdt0M75oYIrk16k4sJf65yLxGjuHIlzVpGWQOh3TRcRdgpRhw8fRl1dHTIyMjB+/Hj4fD7cc889Qtxm0guKzwWAk046CUOHDkV+fr5uEbozEinOUaewk0glmidF7hnC7XYLtwvth4nA6cw56lAfNGgQiouLUVBQAEVROsRKaVm2bBkURcHw4cOFuyASSZKEY/yjjz4S4hxHWjLpTllZGTIyMhAIBPDEE09gwYIFANoddVZoI20joy3JWXvSSSfpFr619OrVC263G62traisrBTinNlcmXjMb2Fig8S5fv36Yc6cORg8eDDq6+vZPZemGIkP3VWcozVeTk6OaLbTQsetZIhzkyZNAtC5xDlaR3aVYzDPnEs95IrTE+ecOOeA9uuayH2Kfq+dzTlHrrnJkyejsLBQND3ZFefuv/9+PPPMM+IaJdmQOFdSUgIAcLlcOPnkkwFANC8zzjh48CD+9a9/Yd++ffD7/ZAkCQMHDsQdd9yB//znP5g9e3ZSo1sZhmE6E11OnNu6davowDHrjKbbKioq4tLl3NzcjJ07d+Kee+7BbbfdBgCYOXOmOMkz6UUqZs5Rh12kcw4InzunhcS5/v3723oNEue0IoERJGSMGDECTz75JK699loAELEDTHpBF+n5+fnwer2mRejOiJFzrqamxvYMJ3LF6UUA0X6XSHFOGydrRyDXzpOUJEk0c5jNnbOKtCQo2vLzzz/HkSNHkJGRgcmTJ1tuE8OkElmWxfnuqaeeQkNDA4YPH45bbrnF9nPQcTEyWsnIWWu0HdpoPRLn9CItCbqtqxSGOyNacY6i7IH2755JL2hdQ+d7oruKc2bz5oB255ydNX60kDh3yimnAOic4lwiExKSCcdaph5qqNWLknUqzpEIlC7OOXq9aNcsNG9u1qxZANpra9u2bUMgEDB9bEtLi/h92xXz4o1eotGUKVMAsDgXLdu2bQMQqmu9/vrrWLFiBV5++WV8+9vfhsvlSvHWMQzDpDfOwrc7ARSBBJjP6NLeduTIEdsLKy0VFRWG83suuugi/OMf/3D8nHpUVlY6zvxP5LDwrgAV3ZI5tNgo1hIIRSoA8RPn7AgDtBgePXo0ZFnGlVdeiWeeeQa7du1CTU2NqUOAST4U76gtYo0bNw7Lly/Hxo0bcdVVV6Vq02LG5/OJ90fiXF5eHrxeL3w+H44dO2bLPWpW2OrZsyd27tyZNs65+vp6UfCn9zZ06FCsW7fOUJxrbm4Wc0ytxLkRI0agrKxMnBMnTJiA7OxsW++DYVJJeXk59uzZg9zcXNx00024/PLLdV0kRpD4tnr1arS1tYmCgBNxDgitEw8cOIBDhw6hra0NADvn0h2tOAe0O05imanDJA52zoVDa3e9eXNA4p1zLS0t4rqIitRVVVVQFMXRMTgV+Hw+sd7pCsfg1tZWIf6wOJc6qD4UD3HOyjnXmWItKysrsWnTJkiSJCL2+/Xrh4KCAtTV1WHnzp0YPXq04eO1zdGpEufoeyDRFGg/7n399dcIBALweDwp2bbOColz48aNM63DMgzDMB3pcuKctiBqFlukvc1O/JgeLpdLLLTq6urQ0tICAJg7dy5+//vfRyX46fHoo4/irrvuistzMSFIIGtubobP57OMuIoHZuLciBEjAIScNA0NDUJcIHGOCk1WOBHnyDlHnW7FxcUYMmQI9uzZg3Xr1gnnDZMe6IlzXcU5t3fvXgChDlW6OJUkCb1798aePXtQUVFhS5yj372ROAck1jnnZOYcueZKS0vF8cfKObdq1SoEAgGUlZUJQd8Iirakuaocacl0Fn7yk59g9OjRmDNnTlTrqAkTJqCgoAC1tbX46quvMGXKFDQ0NIimpfHjx9t6HjrvHj58WMx8NXPOxdqFzsROpDhH54Jo1/lMYrGaOVdZWYnW1lbdOY9dESvnHK0VEuWco3VJQUEBhg4dCkmS0NbWhtra2rhd0yYKbRx4bW0tVFXt1PFp1JTr8XiSHnfItEPOuWTMnOtMsZbkLBs9erS4vpIkCWPGjMHy5cuxadMmU3GO6htAqB6Riv2V9jHt+Wfw4MHo2bMnjh8/jvXr1wsHMWMPEudOOumkFG8JwzBM5yMt2uD+8Y9/QJKkqP+Xqhi+kpISVFRUoKKiAj6fDwcPHsRvf/tbvPnmmxg3bhyeeOKJlGwXY43X6xUXuYks1msxE+cKCwtFMWLr1q3i705mzgH2xbnW1laxgNIunimG9auvvrL1eonE7/fjvffe4473/0NPnBszZgxkWUZFRYVjd206QWJU5IxOeq/03s0IBAIiRqUziHM0b067b1uJc9pISzsXsVqBffr06Zb3Z5h0oE+fPvjOd74TdTHY5XKJTu6PPvoIQCjiUlVV9O/f33YhTRt/TTFp7JxLX5qbm0WxlL67WGfqdCcURcF///d/i4aORBMIBIR7PNIZVFRUhKysLKiqmtSEi1Rj5ZyjWMtEOedI4Bo0aBDcbrc4BneGaEuKtARCvy1qmO2saIXrziwydnbi6ZyzEuc6k3Nu3bp1ANpnUxLU8BsZKx6JVpyrq6sLS75KFpEz54CQwEjuuTVr1iR9mzozqqqyOMcwDBMDaSHOxRNtUdbs4kV7m1GHohMkSUK/fv3whz/8AS+88AJaW1vxox/9COvXr4/5uZnEYJYjnwhIFDAqDJJIRvEO9fX1YsFuNxrA7sy5Xbt2IRAIID8/Pywyk8S5tWvX2nq9RKGqKu644w787ne/Y5H7/9AT57xerxB0rC6EEk0gEMB//vOfqGZ4knNu8ODBYX+ngp0dcY7EMFmWdeMb01WcGzhwoPgbfZdHjx7tsA8Hg0F88cUXACCEBytGjRqFiy66CN/61rcwbNgwW49hmK7A2WefDSAkaLe1tTmOtATaz7uHDh0SIoKZOEeuuq4y76izQa65/Px8UeTUinOqqqZs2zoD27dvx7vvvosnn3wyKZ+V1hkUWZSWJKlbRlvSusEq1jIYDFrOdIoGrTgHGIsJ6YhWnAM6f5OEUeQrk1xIeNO7tolWnDt+/LiIygbaf6vJds7R60VzfqQ1VaQ4R4kuVlGVWnHOzv0TgVHTNIlzX375ZdK3qTNz9OhR1NfXw+12ixEVDMMwjH3SItbyqquuwoUXXhj147WLGZolBoQu6MaNG6f7GO3FnvYx8eDSSy/FgAEDcODAATz99NNYtGhRTM930003Ye7cuY4es2vXLlx88cUxvW5Xp0ePHjh48GBSxDlFUcTr6DnngFC32QcffCAWqLRwLSkpsT0rirpqrZxz2nlz2o7MyZMnQ5Ik7NmzB9XV1SmLsXnllVfw8ccfAwgVjKKltrYWsiwnvRsxEeiJc0Ao133nzp3YsGGDGMqdCv71r3/hr3/9K3bt2oXf/OY3jh4bD+ectqilNxsl2eJcY2Oj6ZwWPXEuPz8fJSUlqKqqwp49e8RFLhCKfamvr0dBQYHtWD5JknDnnXdG81YYplNz8sknIz8/HzU1NVi3bl1U4pzWOUdNXOycS18iIy2BdnFOURT4fD6xRmI6QmJZc3MzGhsb49K4aAY5g3r16qXrDOrbty92796dEkdFqrA7cw4INeHFex5SpDhXUlKCrVu3pkScq6qqwpIlS5Cbm4u+ffuib9++GD58uOGaKjJxoLa2tsN6uTNB+0dnfg9dAbNGXqfiXHFxMVwuF9ra2nDixIkOM1FTFWsZDAbR3Nxse8TH8ePHceDAAUiS1OF6hBqNqanJaM1ENQ6aUbd582acd9550b4Vx/j9fvG5a51zQLs4t3Xr1rBRI4w55JobOnQoz+pjGIaJgrQQ5zIzM8U8j1gZOXIkZFmGoijYtGkTzj//fN37kTjRu3fvhAgQffv2xYEDB8SMk1goLS3lzrkEkIxiPVFbWwtFUSBJkqFzjqIgNm3aBFVVxcJV62yzwm6sJc2bi8yDLygoQHl5OXbs2IG1a9fi3HPPtf3a8WLnzp148MEHxb9JxHBKU1MT5s6di8zMTCxZssS2wJmukEDVp0+fsL+PGzcOL7/8su25c0ePHkVpaSlcLldct4+K39Ec84ycc9GKc3okW5xTFAXNzc2GxWA9cQ4Ahg0bhqqqKmzdujVMnKOo2cmTJxsWpxiGCeF2u3HWWWfh9ddfx7vvvivWfE7EOWrcqq+vF+djs5lz2i50JvnoiXOZmZnweDwIBAKor69ncc4EbTR2ZWVlwguSVs6g7uicM5ubC4Qie7OystDS0gKfz2faLBANkeIcpRekQpx7/vnn8a9//Svsb7NmzcIDDzyge392zjGJwMg55/P5RHSq3TqSLMtiJEplZaX4bum3muxG0qysLGRkZKC1tRX19fW2xbmvv/4aAFBeXt7hWJWXl4dBgwZh37592Lx5M2bMmKH7HLSmOuecc/C///u/SXfO0fkuKyurw3VjaWkpBg4ciP379+Orr77CmWeemdRt66xwpCXDMExsdLkKn9frxWmnnQYAhrPoVFXF+++/DwAJER9UVRXFZu62SV+SGWtJgkBRUZGhKDJixAjIsozq6mpUVlaKweyJEOdoEUyCoJZURls2NzdjwYIFCAQCYjuqq6st348e69evR01NDSoqKvDWW2/Fe1OTiqIohl20JOBs27YNra2tps+zevVqXHTRRfj+978vfl/xQFVVbNmyBYBzMdXn84mZMpExGNGIc0bHXK04l6jIrsgoZaNoS0VRxOcfOU+SImJWrVoV9nfaH2m/YBjGHIq2fOuttxAIBFBYWGh7fisQWk9S0Y3cO2bFcCqs1dXVcYRiCtAT54D2c4JV1HB3RyvO0XojkZD4EDlvjiBxnL7X7oCVcw5od89Zxdc7RVEUsX7TOucApGSmMTV6jR07VlyrfPHFF7pxntp1JEV4x0ucUxQlLs/jFO3MOSZ1UK2guro67LxOYl1WVpZtUQvQj4pNlXNOkqSo5rKSODdx4kTd24cPHw6gXeyPxO/3i983NdFv27YNwWDQ9jbEinbenJ5zm94bCU6MNfRZjRw5MsVbwjAM0znpcuIcAFx99dUAQrNG9PKilyxZIjrs5s+f7+i57Swcnn32WVFM5m6b9CUV4pxRpCUQ6vAuLy8HEHK2UUEiGnHO7KK9sbFRLJhHjRrV4fZUinOPP/449u3bh5KSEtx7773iO4pGSKKLByAUuZiqC+x4cPz4cSiKArfb3cF52b9/fxQWFiIQCFhGgNIMzB07duB73/sePvzww7hsX0VFhbhQraurc1QUod9icXFxhwtT7cw5q2K3Vcc57XuBQCAqsdcOkfudUTH42LFjCAQCcLvdHWKVp0+fDiC0/5HY2traKr47FucYxh6nnHIK8vPzxbF//PjxukUYMyKFHjPnHN2mKErCjjF6tLW1oampCbW1taiqqurU57pYMBLn2NFoj2SLc9pYSz3IOacXa/nJJ5/g0ksvxcqVKxO3gSnAqskIaI+vN5urHg3Hjh2D3+8PW5eQkJCM30MktDb8+c9/jmeffRY9e/ZEIBDQna9MDbHFxcWiASMesz/vu+8+zJkzp4MrLxlY7R9McqAGnUAgELbGdxppSUTuUw0NDcKBl4oRDHR+dLK/0PV15Lw5gq5TaVZvJOSGzs3NxdixY5GXl4dAIBCXtCm7aMU5PejvRu+BCUdVVWzduhUAO+cYhmGipcuKc2PHjoWqqrjsssvE7CpFUbBkyRJcf/31AELdOrNnz+7w+IULF0KSJEiS1KHr54svvsDMmTPx/PPPd+jm3LlzJ26//XbceOONAEKZy9dcc0383yATF5IZa0mvYRRpSVDM5KZNm6KKtbQzc44cTmVlZboXFRMnToQsyzhw4EDSu2XJLfTzn/8cRUVFIvIvmmhLrTh38OBBLF26ND4bmQJI7C8tLe0QaShJknDPWUVb0jHL6/XC5/NhwYIFeOyxx2LePopJJZx8X0bz5oD2i9hAIGAp+FkVtTIzM4V4Hc0+b7UNiqLA7/cDaL/YNRLndu7cCSDkmot00g4fPhxFRUXw+XyiCLVlyxb4/X4UFhZ2iP5kGEYft9sd1iDlJNKSiBR6zJxzHo8HWVlZAJIXqbZz507MmjULZ5xxBs4++2ycf/753XbdaeWcY3HOnMhYy0Rj5QwyE+c++OADHDhwAAsWLBBr5a6AVZMR0O6ci7c4R9e72nUJfTfJvhZobm4Wv8FBgwZBkiTTxkHtOpKaJOIhzn3yySeorq7G3XffnfSmBytnKZMctM44bbRlrOIc7VMUWT9w4EBTx2yicOqcq6+vFyKakXOO1klGwpa2viHLsmgUjryWTCT0+Rs1TVu9Byacqqoq1NTUQJZl0WjOMAzDOKNLinNutxtvvPEGBg0ahMOHD+Pss89GTk4OcnJyMG/ePNTX12PixIl44YUXonr+ZcuWYf78+ejfvz+ys7NRUlICr9eL4cOH4/7770cwGMT48ePx0Ucfdfo5V12ZZIpz5M4zc84B4XPnEhVraRZpCYSKAiNGjACQXPdcMBgUog5tG4lzTp1zgUBALPJJgP/nP/8Zr01NOiTOGQ2GJ3FOr6NYC10Q/eY3v8EPfvADAMAzzzwTc9GSBF/CyfdlNG8OCBW7SdC2irak92BW1KLncrrPBwIBXHfddbjgggsMt0NbKKNiipE4R/P5xo0b1+E2WZYxdepUAO1itXbenFPnD8N0ZyjaEohOnCOBAAgJ/FZrOhLmkyXOrVmzpoNjd8uWLUl17qUDwWBQxNpFinPRxHZ1R7TnxXSItSTnQn19fYcoQ1pTNzY24le/+pVwnnR2rGbnAu1NePGOtYycNwfoR/AlA1pDFhUVif138uTJANrXQ1poHTlkyBAhzsV6DPb5fEKAWb9+Pd58882Yns8JwWBQ/MY51jL1kACnTdqJl3OOEp5o3Z9snDrLv/nmG6iqigEDBhi+d6M5fURk8zE1JqdCnDPav1iccwZFWg4ePBiZmZkp3hqGYZjOSZcU54DQxcWGDRtwxx13YMyYMZAkCRkZGZg8eTL+9Kc/YdWqVVEN0p48eTKef/55XHfddRg/fjwKCgpQW1sLWZYxdOhQzJ07Fy+99BK++uqrsAscJv1It1hLIFycowvLyEKTGU7EOVoM65GKaMuDBw+itbUVXq9XiFAUT+PUObdp0ya0traiuLgYv/jFL+B2u/HNN98kfeB0vLAS50jksRLnyFkwcOBA/PjHP8awYcOgKAqWL18e0/bR50q/PyfinJlzDrA/d85OUStaQf6xxx7D1q1b4ff7O8yCI0icc7lc4sLUSpwz6jqdNm0aAIjILtoPqTjFMIw9TjnlFAwZMgSDBw+OKmpHe/41i7Qkki3OUYHpqquuwurVq8U2klDVXaioqICiKPB4PB3WWeycs0e6Oefy8vLg8XgAdDxn07rd5XJh586duOeee7rEnMdUOufomKFtSKDvpqmpKe6vZwYJhdSgB7SvfzZu3ChSCgjtOjKamD49ItNx/vKXvyStUF9VVQVVVZGRkWHrvMMkFu3cOYKOQVaJOJFECt7pIs7ZXbPQ9YtRpCVgLc5FNh9rax/JwirWMlZxrrW1FY899hhWrFgR3QZ2Mkic40hLhmGY6Omy4hwQuri56667sHHjRjQ2NqK+vh5r167FbbfdJi749Fi4cCFUVYWqqh0Etry8PHzve9/DU089hW+++QYVFRVobW1FY2Mjdu3ahf/85z+44oorOkSVMekHFXBqamoSHldiV5wbNGgQvF6v6BLu0aOHo0HTVjPnVFUVnWlGzjmg/SKY5lwlA5rpMHjwYBHdGG2spVb8KCkpwZw5cwB0XveclThHi+GKigrDCyxtFzAVnGfOnAkAMUV+KooicubJpejk+zJzzgHhc+fMsFPUikac+/rrr/H888+LfxvtE7TP5eTkiE5vPXHO7/cLp6GVOLdt2zZUVVXxvDmGiZKMjAy8+OKL+Pe//42MjAzHj9cWqu00dKVKnOvVqxdkWbbdzNDVoE78fv36dYh+tooZZkKFRG0RMtHiXGtrq1iPGIlzkiQZNtHRv2+//XbIsox33nkHr776agK3ODnYaTKia4J4O+fomKU9znm9XvF6yXTP0RpSK871798fJSUlaG1t7RDhTtcP8XTO0TFl1KhRGD58OOrr67Fo0aKYntMu9FmXlJR0OJ4xyUfvOETHL6eN3nRNU1lZiYqKChw4cACyLKes+c6ps3zdunUAzMU5K2GLhO9I59zevXvjflwzItHi3Msvv4ynnnoKt99+e9LWg6mExTmGYZjY4RUf020pKiqCLMtQFMX24mvp0qVhs8zsYleck2UZI0eOFP8m55hdrGbONTQ0iIuL4cOHGz4PFSSNut4SgZ6DShtr6aQrmr4jEj+++93vAgjNj0h2PI8VR44cwSuvvIJHHnnEcAFvJc7l5uaK72z79u2696GLoYKCAiFgkTi3YsUKtLa2RrX9+/btQ3NzM7xeL8444wwA9p1zPp9PzJOJl3MunuKcz+fDnXfeCVVVhXhoJM41NzcDCBWzqLCmVwzetGkTgsEgSkpK0KdPH8PtLC8vh6qqePbZZ3neHMPEgMvlirrAqXXOpaM4R+czEji6qzhnNG8OaD8ndIcCWbREnhMTHWt5/PhxW84gvXN2S0uLKOCec845+OEPfwgAeO211xK2vclAURThTrMTaxlvJxs5zegYRqQi2lIvYlOSJN1oS5/PJ453Q4YMiZtzjsS5QYMGYcGCBZAkCW+++aZo/ksktP8ZrfmZ5KLnBKP/duqcIzGosrJSuObGjBmTknlzQLs4Z+f82NzcLJoxzWLCtZ+X3rV7ZKxljx490Lt3b6iqKp4/0VjVZWi9V1dXh7a2NkfPHQgE8NxzzwEIHZ+0DZ5dFRLntDUshmEYxhkszjHdFlmWRVHATrTlW2+9hVtvvRU//elPHS/UaBFoZxGvjZt0Mm8OaL+gDwQCHWZ0AO0Fu8LCQtPZOVTMamxsTNoQdBowrRVpysrKIMsympubbQ+kVxRFCCgkzpWXl6O8vByKomDnzp1x3vLoePnll3HxxRfj29/+Nu655x4899xzYjEfiZU4B0DMCdyxY4fu7XrFy1GjRqG4uBhNTU1Ric5AewzJSSedJAopBw4csPW7oQJMcXFxh4IQQe/ZqliYCHHuoYcewpEjR9CnTx/RMX3gwAFdMZ+KhV6vV1zs6onkWuHYbH4cuedeeeUVADxvjmFSQY8ePcT8jGSIc5WVlY7OuZEFJhbnOopzZk5mJgStr+j329TUlFAHg11nkJljxePxICcnBzNmzAAAHD58OFGbmxSamppEIduOcy7e4hwdsyLFUhLn7K7B44FerCXQnh6gFefINdezZ0/k5+fHrUFCe0wZO3Yszj//fAChJr9EE9l0waQWM3HO6cw5EudaW1vx/vvvAwCmTJkSj82MCicz5zZu3Ii2tjb06tXLsLkQaF8r+f1+0bhIBAIBsT7R1jhGjRoFoF3kSSSqqlruYwUFBeKay+mx5I033kBVVZVYO7700ktJbXZOBsuXL8dll12G22+/HUuWLEFlZSUkSTJt/GYYhmHMYXGO6dbYLdZv2LABd999N4DQBbGTIoCqqqKwYOWcA8LjJp3MmwPaO2oBfWHAjsgDtBeztJ28iYYusLXiXEZGhvgM7LqxduzYAZ/Ph5ycHJSXl4u/0wLc6byxRPDMM8/g3nvvxaFDh+ByucQFitGMPzvfG0VJWDnntBdDsizj9NNPBwB8/vnnDt9FCG1Mat++feFyueD3+20VcqwiLYHUOecOHz6MV199FZIk4a677kKfPn0wZMgQAPqz/Wg/8Xq9Yhv0isEkzpl1nQLA9OnTAQDBYBAAz5tjmFQgSZJwJSd65twHH3yACy64AC+++KKt+6uq2iGaiY6X3W3mnB1xLpkz57788ku8+uqrSWtuihU6Jw4cOFAIQ4l0SlGzDUW8GaF3ztaup7X7Z11dXdIi0RIBrdk9Ho/p6AVa5ycq1jLVzjlFUUSsZeRoCVoHbdq0CS0tLQDCIy0BxD3Wko4pw4YNi8vz2sFqHiOTXPSaBKKdOZeRkSEEvTVr1gBI3bw5wNn5ka5fJk2aZNosmJ2dLYSpyGbGw4cPQ1VVeL3esIYnWrskQ8RqamoSxw+juozL5RKfjZNoy9bWVjz77LMAgFtuuQWjRo1CS0uLYfNtZ+XNN9/E/v378dFHH+H+++8HEEp7cjKKhWEYhgmHxTmmW2OnWF9RUYFf/OIXYbF/doUiIFS0t1oEatGKc05jLWVZFgsjPXHObkFEWxxIRrd5IBAQn2lkvCF9BnbnmNHFw/jx48M6sukCKtXi3FNPPYVHH30UAHD99dfjk08+weOPPw4g1DEY+b35fD5x0WQmzlG3mpU4F1m8pCjKZcuWOYoOJUicGz16NFwul3h+O98XFZbLysoM7+NUnDPrOKf9z45TlhyBo0ePFrMVxo0bBwC6sUZ64lzkxW5bW5sQ9ozmzRETJkwQF7cAz5tjmFRBxzQ7zrlYCsMfffQRAPszQJuamkRXOolz1M3Ozrl2ku2cU1UVt99+O+6++2785Cc/iXpmTTLRirzJEGPsrkXNiuJU4M7JyRGCUmd2z9lZwwCJc86lS6xlZWUl/H4/3G532MxPILR/l5aWhs2di4zEp+33+Xy6CSJ2iYzec+IwihW7+weTHMycc05nzgHt+5SqqsjOzjadAZ9onMTA0rw5q+sX7bzQSLFNu19pBT5aO8UaR2sHOt/l5eUhKyvL8H7RzJ17++23cezYMfTs2ROXXHKJiF1esmRJUt3HiYbWmGeeeaZI7jn77LNTuUkMwzCdHhbnmG6N0bB5wu/349Zbb0V1dTWGDx+O0047DYB9oQhoF4NycnJMF4FESUkJ+vbtC0mSwpxfdqELe72uWrvOOe3zJKOgtX//fiiKgry8vA4CJsXaOBXnIi8enAgzieLJJ5/EY489BgD4yU9+ghtvvBE5OTkoLS1Fv379wiI5CfrO8vPzTTvSaHG8b98++P3+DrdHdgETU6ZMgcfjwZEjR0SRwy6BQEDEhFIcq5Pvy6hTWwv9Vo8fP246F49EzXg55/Ty88ePHw8AoiikRSvOGe0727dvh8/nQ15enuGMPcLj8Ygu8aKiIp43xzAp4vLLL8f48eMxa9Ysy/tG65xTVVWI/tu3b7fVKKFXYOqOsZaKotgS55I1c66mpkYc+1evXo3vfve7uueMdEIrzpEgkMi5c3Zj+8ycc1rHCok4nVmcs7OGAdrFuXg659ra2sRvNtIhrJ2RlQwo0rJfv35wuVxht0XOnVuxYgXeffddAO0JDLm5uaIxL9p93u/3i/dL4lwyjyP02izOpQeRtYJAICD2V6fOOSD8uDd58mRkZGTEYSujw67o3Nraaru5EDAWtuhaNLL5OBXiHB3bjKD3YNfNFwwG8cwzzwAA5s+fD4/Hg+nTp2P8+PEIBALCUdcVoDXmddddhxdeeAErVqzAj370oxRvFcMwTOeGxTmmW2NVrP/iiy+wY8cOFBYW4sEHHxTRgdGIc3Zcc0Do4vPhhx/G3/72tw7zFuxAwkAssZZAcrvNtZ2vkVEZ9BnYcStqC5xG4lyqnHO7du0SDrmf/vSnuOaaa8Ju1xt0D9j/znr27Ini4mIoiiLm92nRi7UEgKysLBGpYtexQWzfvh1tbW0oLi4WRQS64LLzfdFFmFlcXGFhITweT1iEWySqqjqKtWxsbNQVMLWYiXNbtmzp0JGtnTmnndmohX6bka5OI8jVOH36dJ43xzAp4tRTT8XTTz9t63wcbQH34MGDogDU2NiII0eOWD5Gr8CkbWagSNyuzpEjR+D3++HxeDo4bQCYxgwnAm1DzcCBA1FZWYnrr7/ecB5somhra7Pthu+MzjltUZxEWTv7TbpC6wUr5xzFWsbTOactzNMxjEj2zDmjSEuCUgReeukl3HLLLaiursaQIUNw7rnnAggliDhxA+lBIm9ubq54rmTG4/LMufQi0jlHgpPb7bYU0/XQHvdSOW8OCP9dm50vtm7dikAggMLCQsN9U4ue2xDo6Egl0lmcs7tNH374IY4cOYLi4mJceumlAEI1HRKtXnnllQ7P5ff78eKLL+Ktt97C9u3bY3L7JotAICBqKbTmNItiZhiGYezB4hzTrbFyztGF/rRp09CnTx/HLi6gXQxy0l03ePDgqBfsZuKck6iUZBa0ImdGaHESa0kFTo/HI4ZLE6kW515//XUAwFlnnYXvf//7HW6PVZzTDmKOjLYMBALiu9dzFtDcOafinDbSksQjJ9+XHXFOlmXxezVygwQCAeGqM7tQzs3NFRcQZr8DVVWFOEeCPBC6mCwsLEQgEOjwGVO8XE5OjuG+YyQcG3HJJZfggQcewC9+8Qtb92cYJrVE65yLjMql448ZegWmoqIiZGRkQFGULhWhZAY1owwePLiD0wYIbzRKxgw4WjcOGjQIzz//PMaOHYu2tjasWrUq4a9N1NbW4vzzz8edd95p6/56zrlEinOxOOf0Gt4oGrszO+fsNBgBiYm1pLVYXl5eh32IvqNEOim1kHPOqBmC1srUEPWd73wHzz//fJioGcvsTyA8JpfWtskS59ra2sRvnJ1z6QEJTS0tLfD5fGHRutE0zmnP2dOmTYvPRkYJ7SuBQMC0aZEiLa3mzRFGrjOjFJd0Fufsxlp++OGHAEJpC9qkpJNPPhnDhw9HMBjEihUrwh7zr3/9Cw8++CAWLlyI7373u5gxYwZ++MMfYtWqVVGNmkgG9Pl5PB5bs5gZhmEYe7A4x3RrrMQ5WoDQxakTFxehHV6fDOLlnDOam5UIqLhGA9e10Gd++PBh01hDoH1O2KhRozp0caVSnAsEAnj77bcBhAQXPWiu2datW8OKLk6+M4q2jBSOjh49CkVRkJ2dLS4ytZA4t3nzZkexn1u2bAHQHmkJONtHjGacRGIlzlFRS5ZlZGdnGz6PJEm2fgdHjhxBQ0MDMjIywuIkJUkSc+ci40epUJSdna0rzqmqahi5aoQsy5g1a1aHTnaGYdKTaAtMJM5R0StacU7bzHD06FFH29BZofWDUVQwHY9VVY1rFKAR9LmXlZXB6/WKeULJWEsRmzZtQnV1Nb744gtb99cKXskQY+zG9mnjyElYpWKvdi1DjkkSVTojTp1z8fwtm0WM0++huro6KW5cK+dc3759MWXKFJSVleHRRx/FrbfeGjafF4ht9ieg7+7Rxv8lsmh+/PhxKIoCt9sd1TwzJv5oEzHee++9mObNAe3HvZ49e6Y8sj47O1sI8mbnKBLnJkyYYOt56fhsFGvZmZxzdsQ5v9+P1atXAwjNYYtkxowZANDhnPzpp58CCDUX5efnQ1EUrF27Fj/5yU8wf/58LFu2zPK1k422LsGpLgzDMPGDxTmmW2NVqKcCAi3gyBVUVVVlu2vVaaxlrBjNnFMURbwfJ+KcnsgXb8yccz179oTX64WiKJZd0fRZUxd15PPQfZLdjfbZZ5+hvr4evXr1MuyS7N27N/r27QtFUcJcFPEQ5/S6gLWUlJRg9OjRUFVVXCjYgb43cuwB7fvIkSNHLMVUKpxYdd7RezcqNpMIpp01YoQdcY4K48OGDeswC4IuTCNnCNHxQOuca2pqEgXFAwcOoKamBh6PJywqk2GYrgMVcH0+n6NCNgn31CgReQzXI7J5iOjTpw+A7jN3jmKx9Zp7gFB3N3WxJ0Mgo/MUfQ92Z/rEE3Lv1dfXC1e3Gdq1bqKdc6qq6kZT6kHF0ba2NvH5mc2c68yxlql0zpmtxYqKiiDLMlRVtT17KRasnHOSJOFvf/sbXn/9dcOEkVhjLfVi4KlJKhgM2tqnooVE8dLSUlvx50xyuPrqqwEAf/zjH0XKSDTz5oCQUDN+/HjccMMNKRc3JEmydJpq56FTI6kVerGWgUBArEuMZs7V19ejra3N/huIgkTMnFu7di1aWlrQq1cvlJeXd7idxLmVK1eK91dZWYktW7ZAkiQ8/vjj+Pjjj/H666/jO9/5DjIzM7F161b8/Oc/x969ex29v0TjpC7BMAzD2IdXfUy3xso5Fxm9k5eXJxacdt1zyRbnqKs2UlSjbkyXy2VrW5IVa9nc3CxEN73Od0mSbM8xo+42vW5Ges+BQCBps2eI1157DQBw0UUXmV5s60VbRiPO7dy5Myy+yyhGRMvZZ58NoD2Www5ahwDhREy1E2sJWEdlasU5K5yIc9pIS4Lmzn3zzTdhIi8Vyrxer9gOrVODiu9jxoxJ6fB3hmESR15enii22RVjTpw4gYMHD0KSJMybNw9AyEFt1URCBabI8zmdK1IhzimKgvfffz8pRXzCzHlPJHNeFAlEJM7RayfDERC5DYD1rLDm5maxXiwtLRXiXKKcc36/XxQnrYSojIwMsT6gc7aVOJeM6NJEYNc5R+Jcspxz2hlu0TrR7OLz+cR1l9lcK0mSTEWNWLdXb82cmZkp1m6JPI7wvLn05Oqrr8ZZZ52F1tZWvPLKKwCgm0Rih4KCAjz99NNiLlmqsTo/7ty5E01NTfB6vWHNmGbouc7o+KyX4qI99iT6OGO0dorEycw5cridfvrpusemMWPGoLCwEA0NDULoJJF37NixIiK1b9++uPXWW/HWW2+JYyA1LKQLLM4xDMMkBhbnmG4NLcx8Pp9uF6ped5WTmVpA6pxzkeIcLabsdmNGU8zasmWLo3l8ALB3716oqoqioiLDiBC7n7mZOOfxeEQhyEl0Y6wcOXIEq1evhiRJ+Pa3v21631jFuf79+yM7Oxt+vz/ss9LrAo6ExLl169bZ+nyam5vFBZR22+yKqdpOeCtxjmJfjLoH6bduZzB7rOLcyJEjkZGRgerq6rACqFac83g8ImaJhEOKAKVYTIZhuh6yLIvjkF0xhpzSw4YNw8SJEyHLMmpqaixFFaPu71SKc6+99hp++9vf4qGHHkrK6wUCAXGuMxPnkjlDN7JpJZXOOcBaZKNzYXZ2NrxerxAF6uvr0dLSEvdto/O1JEmmMdSEtolOVVXdNXWvXr0gyzICgUDM67tXXnkFl156adIjMu0656gBr7m5OW4pEFYR48kS52jNWFRUFFOcd6wReXrinCRJSRH59WJbmdQjSRIWLlwYJhp3le+IftdG+7c20tKum1PPOUf794ABAzoIWC6XK2mNLEapA5HYjbVUVTVMnNNDlmWceuqpANqjLT///HMAwBlnnKH72tSwnG4pCCzOMQzDJAYW55hujdfrFcWByAt6RVF0F3AUtdJZxTm7iyl6HjvFLL/fj/vvvx/z58/HVVddhZUrV9reXopGNJoXA9j/zM3EOSA1c+feeOMNAMApp5yiG7epheJCtmzZAp/PhxUrVjj63mRZFnEa2lg0baylEX369MHYsWOhqio+/vhjy9eigl9OTk6HTm87Yqr2ItCqCEPi3L59+3S74u0WtQDr34CqqqbinDaWUjt3TivOabeFto1+52YFZIZhOj9OC9kkzk2YMAGZmZnieGcVbWnksEilOEcFqsjY30RB54T8/HzTiKpkCWSqqqZVrCVgHU+pFXklSUJOTo44jyUi2pLWpjk5ObYi3bTnbJ/Ph0AgACC8MO52u8Xv3sqxb8XixYtx4MABfPLJJzE9j1OcOudUVY1bvKJVikGy5kFZRVraJZbtDQaDYh+ObGhLxr5sN+6dST45OTn405/+JPbBZF3XJxqrGY1O52UD+pGQWnHObDsSeZxRFEVc/8Vr5tzOnTtx7NgxZGZm4uSTTza8n3buXFNTE9asWQNAX5wDEFcXe3NzM2655Ra88MILMT9X5BqHYRiGiQ8szjHdHqNoy9raWgSDQUiSFLYA7yziXGTkDRXqaLFnhd2Zczt37sT3v/99LFmyBECok/22227DihUrbL0OzYuxI87FEmsJJF+cUxRFiHMXX3yx5f379OmDsrIyKIqC+++/Hz/72c+gKApmzpxpeRFB6M2dsxNrCQDnnHMOAOCjjz6yfB1anOuJhnb2EboIzM/PF8PIjejXrx9cLheam5t1i4XxFOeqqqpQU1MDWZYNhTQS5yhODQifOafdloaGBqiqajpXkWGYrkO04hwVvqgpgJoE9DArMKVKnAsGg8L1ffjw4bjG7hlBx+ChQ4eaCj10PE60QFZfXy/OBfQ9WLkSEkE0zjk6N0qSJATfRERb0u/CTgw1EL5Gp3W61+sVcwQJiraMRZw7dOiQaGayG10fL+zGc2dlZQn3SrzmzlkJQslyztGa0SzS0g6xbO/Ro0ehKAoyMzM7XLclwzlnFjHKpJ5BgwbhoYcewgUXXIA5c+akenPigtnvWlVVIc7ZnTcHtDdP1NbWhs3eBlIrztXV1Yl5wHZnntbV1ZnGJZMTburUqSI1RY9p06ZBlmXs2bMHL7/8MoLBIAYMGGB4vKM1RDzOw6tWrcKKFSvw9NNP23Zc79mzB9dddx0WLVoU9nd2zjEMwyQGFueYbo+ROEfdxEVFRXC73eLvTsS5QCAgFrupnjnndDFl5yJ07969uPrqq7Fnzx4UFxfjoYcewplnnulIoLMjztHCdefOnaaDotNNnFu9ejUqKyuRn5+PM88809ZjKNry7bffhqIouPDCC3H//ffbHhoeKc4piiIKdVbi3OzZswGEuiStItXo96TXOWcn1tLuvDkg1BVPz6kXbRlPcY4K4kOHDjW8yCKBW/sZUZGMnLhace7EiROor6+HLMsxF50YhklvnLgrfD6fOFZPmDABQPsx3Eycq62tRVtbGyRJ6hCtRcfkioqKuMXe2WHTpk1hYoG2eSFR2Jk3ByRv5hw1rRQXF4vzR7KEDaKpqSnsfVoV9vTiUUmcS6Rzzq44pz1nmzW7UTJBLOLcl19+Kf472eKc3XhubRxovMQ5q1jL7uSco2a2/v37d1h3J0No1zauMenJ5MmT8fvf/75bxFru378fNTU1YakhdqB9UFEUcT6iY6rR/p2M4wyd74qLi8NqO3rQ8VBVVdNtotlxRpGWRH5+vphb/uSTTwKAaW0gnuIc1Vrq6+ttNW59/vnnuOaaa7B+/Xq8+OKLQtBUVZXFOYZhmATB4hzT7TEq1htFRmmFB6vCFwl+2nlnicYo1pIWd06dc2axlitWrEAgEMCIESPw0ksv4fTTT8e9994rhmbfdtttlotAO+JceXk58vPzwwYp65Fu4tzOnTsBhLrlPB6PrceQOAcAN9xwA+68804xhN4OWnFOVVUcO3YMra2tYbFPRvTq1Qvjxo2zFW1ptjinDnYqVOphVQyKxGzuXCLEOb1IS4KOCVpxjtwAes45+o3379/f9u+AYZjOCR3T7BSYNm7cCEVR0KdPH3FcseOcMysw0Tne5/MlZcYaoRU2AGDHjh0Jf0274lyynHPUCKONsKbCZ0tLi4hkTMY2EE5iLYl4xmlFEos4R2tqPcdDPJxz2t+w0/nJseLkc6F1RrzcqeninKPvzshZY5dYttcsBt6OyB8MBsOi/JzCzjkm2Zg1FNG8uTFjxji6fnG73WJ/of2BxDmj+efJFOfspNFo34PRNlVXV2Pz5s0AgNNOO83yOSnakiKJzcQ5Og87SUF44403cPvtt3eIPKbrUMB8baaqKp588kncdtttovmjtbVVpL9oZ9HarScxDMMw9mBxjun2WDnnIsW5fv36QZZl+Hw+S5GHbu/Ro4dt51OsJHPmHH1GJ598suggzMjIwL333oshQ4agtbUVW7ZsMXy83+8XxR8SX/RwuVxiQUszbSJpaWkRC0YjcY6+62SJc/SbshtJCYSiJS+//HLce++9uOGGGxz/boYOHQq32426ujo888wzogu4rKzM1iBvirb88MMPTe9n9nuiCyyzAobTuRrkOKPOai12O86B9kIfxdZGsnXrVgDm4hx9n9qiJ10IRc6ca2xstCVAMwzTNXBSGNab5UINFseOHTMsCJkVmDIzM8U5MJnRliRs0JopncQ5+k4SLVbS560V53Jzc8W5Nxlz5yLFObvOOe1aNxnOORKYrNAT5/QcKySmRL5/u7S1tWH16tXi3ydOnEhKNCvhZB1D64x4x1qm2jlHz2+0hrdLLOKc1jkXiR1x7uGHH8acOXOinrvJM+eYZGP2u6bYbSeRlgQdp2tqasLGEqTSOUfbYDfNyGru3BdffAFVVXHSSSd1qBfpQbUMIPT5jBkzxvC+JH4dP37cNDWIaG1txZ///Gd89NFH+Pzzz8Nu04pzZvOMP/zwQzz++OMAgHnz5olEB2oWozVOcXExN5syDMPEGRbnmG6PlXMusviVkZEhCi9WsTdacS5ZWDnnnMZamhWzjCKG3G63WHxHip5a6DPOzs62LEjMnDkTADosOAlaOGdkZIjCRSROnXO7du3CP//5T10Rxw7ULejk+8/MzMTtt98uRDKneDwe3HDDDQCAv//973jggQcAWEdaEhRtuX79etPCnNlAaPoum5qaDC8onMRaAvFzzhUWFkKWZaiqqtvdbMc5R8cE+h0piiKKZJHiXH19Pc+bY5huhJPC8Nq1awG0R1oCIdGCCsNGRRSj5iEi2XPnGhsbsWnTJgDAlVdeCSDx4lx9fb04R1k1PtDxONHOHxKGtOssSZKSFqup3QZag9l1zmnXcVQUTIQ4F8vMObM1Vayxlps3b0ZjYyPy8/PFuiSZ0ZZ2Z84B7euMeImH6RJr6USgNIO2t6GhwVZRWws55/TEOTuRxUuXLoWiKJYNbkbQc3OsJZMszNz+dF6nOEYnkDhXXV0tRO+CggLD33YyjjO0f5PT2goS54zcsDRvjmoUVgwZMkSsD04//XTTpllKRlAUxXLUBACsWbNGHEO1jdGBQCCssdUslWHlypUAQsLcr371K4wePTrsMRxpyTAMkzhYnGO6PU5jLQH7c+dImErWvDlAP+6mpaVFLHadxlo2NzcbilP0mel17xs5ErVoP2Mrh9j06dPhdrtx4MAB3c9dG2lp9Fz0PZhtk5b77rsPDz/8MP7zn//Yun8kZhFMieTaa6/Fr371K0iSJBbkRjEikZSWlopC8aeffmp4P7MFuvbCy0jcTVWspSzLYp+OLFyfOHECVVVVkCQJ5eXlhs9BvyOfzwefzyccm0BHca6hoYHFOYbpRtgV56qrq0VM86mnnhp2m1W0pZ6goiXZ4txXX30FRVEwYMAAnHHGGQBCzS2KoiTsNakTvFevXpaChp1mo3igF2upfX27RceVK1fi6quvjkrgpG2g83htbS38fr/h/c1mzqVbrKXZzDkqtlZWVkYVH7pq1SoAwJQpU4RTP1niXCAQQGtrKwB76xha58fDOaeqqqVzLhmxloqiiP0zVmFK+3in20wiglmspdFzNjY2iv2PGi+cwrGWTLKh9QL99gmfzyeOgWYNi0ZoXWdW8+aA5IhzdrZDi5VzjhyyU6ZMsfV8kiThyiuvRE5ODi677DLT+2qvV+2ciz/55BPx31pxbv/+/WFrMbN1Bb2f6dOnA2j/3qlRjMU5hmGYxMHiHNPtsYq11BOe7IpzZoWEREEFD5/PJxZjtKjzer22O1K1hROjgpZZgdCOOOdkDl5OTo6Yx0bDl7VYzZvTbqcd51xbW5uIOHzttdcs5wvqQZ12qRgaPm/ePNx3331iXp3dCxGgPb5EL0ISCBVRSFjVW6C7XC4hUhl1GDt1ztH219bWdrhwc9JxDhgXruniY+DAgYbuSyC0H1FxrLKyUgjhsiwjMzMzbFu0M+c41pJhuj52C9mfffYZVFXFqFGjOhxHIwsikVjNTSFHc7LEOYq0nDp1Kvr374/MzEz4/f4Oxb54QsdVq0hLwF4cXTzQi7UE7DlutLz66qvYvHkz3nvvPcfbQOLAiBEjkJWVBcDYAaeqqqk4lw6xlrSWbGpqEq44vYanwsJCcd42m3drhPY3TDPPkjV3jtYwkiQhOzvb8v7xjLVsbGwU1wpG67FkFM2bmprEOjtW55zL5bIU0vRQFEX8xqKZOUdzpum/jQr6Zq9PvwUW55hkUV5eDkmSUFVVFXbNTiJOaWlpVFGzWuec1bw5IDnHGTqm251rSe9bb5uoYUSWZRFHbofvfe97+PzzzzFq1CjL+9La0EqcUxQFn332mfj3tm3bhGs4cq1UUVGhe1ysr68Xn8/YsWMBtMes79ixA4qisDjHMAyTQFicY7o9RiJSPJxzqRTngPYiiDbS0u4MM63AYiTOxeqco+2yk9MOQHTkxyrONTY2mnaSA6Hvlu6zZ88ebNy40dY2akmVc46YPXs2nnjiCVx99dW44IILbD/OqjB3/PhxBINByLJs+Nu2KkY6nauRnZ0tCs6R7jknzjnA+GKHHG5mrjmCPqOqqioxby47O1vsX7Qtu3btQlNTE1wul+2LQYZhOi90TLMqCpMz+ayzzupwGxVErJxz8Y61fO+993DzzTc7npekFTZkWRZFILPZJrFid94ckHznXGThyqk4R4XMaMQh2oa+fftaxlM2NTUJ57derGVNTU1ULjQznDrncnJyRNMLiR96DU+SJEUdbdnY2CjWeFOnThVr/GQ557SfiZ3ZwHoJGdFCRefs7GzDGULJcM7RvunxeOIyy8gsqs+IyspKtLa2wu12m6ZCGO3HkY6UdevW2X5tIPQZkEDJsZZMssjOzhZuYe2ag37PToQnLdpIyHRwzimKImIt4+Gco89q0KBBtpoqooHOxZFruciG4a+//hq1tbXIz8+H1+tFS0uLuFYmcW7cuHGi6UDPPUfnwAEDBojvYtCgQcjMzERzczMOHDjA4hzDMEwCYXGO6fZQQaK6ujrM9m9W/KIiu92Zc8kU5zIyMsSFLV3w02LKbqQlQQJD5Pw6IBR3SYWBaJ1zVDCyu12nn346gNA8tMgigR1xLicnR3w2Vu65yKLoK6+8YmsbCUVRxAVGqsQ5INT9dvPNN9suhAHhwpMe2t+Ty+XSvY925poeTp1zgHG0pdM5JUYXO9qiphUkSFdVVYn9QOsEoMIKFZAHDBggXIwMw3Rd7Dg2GhoasGbNGgDArFmzOtw+fPhwAKGYKT13jNFMXCIaca65uRn3338/Vq5cieuvvx6LFy+2FUt57Ngx7N+/H7IsC3c7bb/WSRJvohHnEi0u0Lkochark1hLRVGE49CpOKSqali0Jp3rjLru6Ryfl5cnXHa0vbRWsjPrhqioqDCcC0w4FeckSRJrKFpPGK2p6NztVJxbu3atiGUtKyuzvcaPF07d//F0ztmJUaR1WmNjY9QzmK2IV6QlEY2gSL+bsrIyXZHUSmSngjeti7XRlj6fD7feeiueffZZw9enbfV6vXC73ba3m2FiZeTIkQDCr33pv+l87hRqotDGWpo1KSZanKuoqEAgEEBGRoZtccls5pydGeWxone9euDAAcyePRt//OMfhUhHkZZnnHGG2B6KttQ65+i71GucoqascePGib9pXYHbt28X26E3b55hGIaJDRbnmG4PzSjTiiktLS3i4sss1vLQoUNiToQeJAAlW5yhC3wSDaLtdDLrEqX3lpWVpRsBGO9YSyC0GCwvL4eiKFi+fHnYbXbEOUmSbEdb0qKbhiF/+OGHjrrua2troSgKJElyJEClA/SbN+q2t/N7sipiOJ05B0B0dmrjNlVVFa/h1DlnJM5FRpLpQb+jqqoqUSDT7ge0LVTc5khLhukeaIvCRnHIX3zxBYLBIIYMGaLbwV1cXIySkhKoqipEKC1mrnUgOnHuvffeQ0NDA9xuN9ra2rBo0SL8/Oc/tzzvkWtu9OjR4rhHBaBoZqbZQfu52BHnaLuampoSNgePohQLCws7dNE7cc5VVVUJ1/7BgwcdbW9DQ4NY9/Xp08fSBW8UjypJkmWTjh533XUXbrvtNvGb0MOpOAd0bAAzaniLVpyjeXPTpk0DEJ6OEU2kuVPo+7EbHRdP55ydFIP8/HyRCpCoaFin6zgroin0a8U5Pew658477zwA4eLcq6++iqVLl+LZZ581/E05TZRgmHhBgg6NcwDaBZxonXPaWEs7cZL0u/f5fHF3bAMIi9a041AGzJ1z9FklQ5zTNth8+umnqK+vx7///W+8+uqrUBRFJDHMmjVL1C1InNOulWhb9dZmeuIcEJ7kwM45hmGYxMHiHNPtcblcQkiiuAO6UM7KytItIJSUlCA7OztsPoEeJEwl0zkHtBc9Ip1zThdTdJGsV5zTFgf1ojK14pzRhahZdKgR5J6LjLa0I84B9ufOkTg3d+5cDBkyBH6/39H8F/ruCwsLDd1l6Qp9HydOnNDtkrbze7IqYkRThNBzzvn9frGNyRTntIVLPXEu8rgxZMgQW9vGMEznhoSY1tZWEXkbCRVSzjzzTMPnMRK4WltbRRe3lThXVVVl2kBEqKqKJUuWAAB+/OMf47e//S08Hg+WL19u6vQAQnFKAHDKKad02PZEOeeqqqrQ2NgIWZZtxVNpzw2JirYkcU7v/OFEnNO6tYLBoKP5aXQOKy4uRlZWljhPWTnn9H5HZkVJPdra2kRxzywGPB7inNE6L1pxjsREEuf69esHSZLQ1NTkeG5YNNA+bkdoBtrFuWQ552RZFvtQolwtTuPJrYjFOWeUnkDrWp/P12Ft3NbWJhwqV155JSRJwt69e3HixAm0tbXhxRdfFI/Vc+EA7ccHjrRkkg2JNnTt29raKqL+oxWf6Di9f/9+sR/qzXIktLG+iXC523HvRWI2cy4Zzjm9MQwkugHAH//4R/zv//4vKisr4fV6MXXqVDHLbsuWLfD5fGJdMGTIELE2i0wHUhQFmzdvBtA+b46g97dp0yZRO2FxjmEYJv6wOMcwgFjIUGFBG2mpJzxJkiSGGpOgF4miKGknzjmNtaTn0Stm0Wdk9N5InGttbdWNxQScz5wD2ufOrVixIqyzzqk4Z+boUxRFLFxHjhyJSy65BECo89VuFzU9v95slHSnqKgILpcLqqrqfk6xinNtbW3i77GKc/TblGXZdua/njgXGQdmhdZdaOacI9g5xzDdg+zsbBFhq1dgamlpwYoVKwDoR1oSRuIcHZMzMjIMC+pFRUXweDxQVdWW82n9+vXYsWMHPB4P/uu//guXXHIJbrnlFgDWc8/oPE7OZqB9bmdlZWVCivm07urbt6+t+VRut1scn+0IZDt27HDsECIRTS/uyUmsZmSUopO5c5HnMKtYS9pmvbWhU3FOO6dXz+1JkNsrWnEuPz/fMCI6GnGuqalJxIhOnDgRQGjuGX2P0cz9cwo5VOwWeeMZa2k3xSDRkXPpEGtpFW2em5tr6CDcv38/AoEAvF4vTjrpJHEM/Oqrr/Dpp5+GrTeNflN2hFKGSQTkjqqoqEBtbS327t2L1tZW5ObmRh1hSNe/dMwoLS3VTdohZFlO6HHGjnsvEqPzYE1NjTivRusstIPeOZzEuQEDBqC1tRUPPPAAAGDGjBnweDyiprVjxw5xbunRowcKCwvFtu7bt0+cr4HQOdvn88Hr9Xa4XqXz0vr166GqKjweD7t7GYZhEgCLcwwDYMKECQBCCw/Aep4LED6rTg9trGGyBZpIcY4WddHGWlo55/TweDxiO/QEnkAgIBa7TkTDkSNHorCwED6fL6wrP57OuUOHDsHn88Hj8WDQoEH41re+BY/Hgx07doRFfphBv4tUzpuLFlmWxeekF4dlJ3PeTJzTFkucFGJInKuoqBBFKe2sFj0hXQ/aD+rq6tDS0gIg9PtpaWmBJEm29hP63R8/flwUG83EOXbOMUz3QJIkU6fUqlWr0NLSgj59+pgWdYxmg2jdTkbHPG0soZEwo+U///kPAOD8888Xx2R6vFWRjM512nWO1+sVHfKJiLaM5vxqtp7R8vLLL+M73/kOLr/8cuEKtAMV9vXOi06EgsjCfSzinFWsJd1fz83gtEiq7cQ3E+eicc5pv2ezZjd634cPH7bdSEVCb3Fxcdh5mwq4JNwlEtrH7c52orVGPGIt7c7/jUbsckI6xVoaiXNaB2HksV37HcqyjJNPPhkAsGbNGrzwwgth9zX6TbE4x6SKnJwccczbtm1b2O/Z7rVVJJHX43ZEsUSKc9T4YsdtT9B7qKurC4uYpvPdgAEDwuaNxxu6Hq2pqYHf70dNTY1oqvn73/8uGsUBYPbs2QBC58GCggIEg0G8++67ANpd2T179kRRUREURRFOX6Dd7T5mzJgOkZ9DhgyB2+0W7793795R/yYYhmEYY1icYxgA48ePBwB88803YZ3mZo4uK5GH/k4upGSinTmnqmrUzjk7sZZmhRKzuXP0GWdmZjoSaGRZFkKH9gI3nuKcdgi2y+VCfn6+cDjQQtcKes+dUZwDYDpvJlbnHF105efnO9o3CgoKwmJSgPZCn5OCTm5urihuUeGaipQlJSW2nBgkzlVVVYnoOqNYS7fbHXYBxTBM18askE2RlmeddZZpgYOEu507d6KtrU383cq1TkR2rRtx/PhxfPzxxwCAefPmib9TkczKOaUnzgGJjbY0ek0z7LjXvv76a9GFXl1djR/+8IdYsmSJLaHHLNbSKuZZC61r6DGRTjozjJxzRuKc1oEYiVPnnFZEPnDggOHMoFhjLc3WVPS+m5qabMeX0ucbKVBSITnRzrna2lrx/ZDbygqnsZZm85vsRownyzmXDuKcWXqC0b5MTQh03KOY3/fffx8bN25ERkaGKJ4b7dMszjGpRDt3zqmbV4+8vLywa7xUi3PROOdoexRFCVs7JCPSEgh9hllZWQBC16vUIDxw4ED06tULDzzwALKyslBQUIDp06cDCDVnkXvugw8+ANCe3iJJUtgMOcJo3hwQSmnQuuk40pJhGCYxsDjHMAi5sTweD2pqanDw4EFbs9DMhCfAnniVKOjCfc+ePWHRBekkzpEo0qtXL8cdWCR0aC9wEyHOaRfdJODacSEA0RUP0wltbGMkVISMVpyLZeh9ZLRlNAUdrTuOhEYnkZZAuDin55xzu90iZnPgwIFwu922t49hmM4NFVcjC0yKomDZsmUAzCMtgZBYkJ2djUAgEHauM5sTpsVukeuVV15BW1sbxo0bF+bks/N4RVHE7ZHnOhIaEuGci6b5xWw9A4TO7b/+9a/R1taGs88+G+eccw7a2tpw//3346GHHrJ8frPzYjTOudNOOy3s33YwEueqq6t1BRozMcKpOKct9CmKEhY/TQSDQbEedeI20H7PZt95VlaWWHtYzRUmSAyNLNiSu8KJOBoNtH/079/f9mfixDm3bds2nHXWWVi0aJHu7XZjLRPtnEtUrKXdIn9LS4s4rhg55wBjkT9SnJs4cSJkWRYC6vnnny9iU42cczxzjkkl2rlz9HuOJbIxMjkokeJcbW0tLr/8ctxzzz26twcCAXGOduKcc7vdYn/UngtJJBs5cqSj7XSK9nr12LFjItJy9OjRAELrrCVLluCFF14Iuwal7aJmGO08U73IdDNxDgivh7A4xzAMkxhYnGMYICyj+5tvvrElztGCMx3FOboo/c9//oO5c+cCCG2vHUeQlljFObP5bnY+YyMi5/35/X7hXkqUOGdV2IukqzjnIsU5bUd6rM65aMQ5mmu0b98+ANF3W0eKc3Y6prXQ7ygYDIrHRhbWaJt43hzDdC+MCtkVFRWor69HRkYGxo4da/ocsiyLgorWfWbH2a/dBitx7dVXXwUQ7poD2o/P9fX1Yc49LRTfDXQ891JRLxHinN1mHC1mUaN+vx+/+MUvUF1djeHDh+POO+/EPffcI+bu/etf/7I895s1eJi9tpa2tjZxPjn99NMBxOacy8/PF+u+SBd8IBAQ5/dYnXOqqgqnBf1u9KIttWJStOKcVcMTnZvtzFoE2teRke72ZDnnnEZaAs6ccy+//DL8fj/Wrl2re7tdt1ainXPxFqZoe+2KibTv5Obmmm6DXjyuqqodxLnc3Nywa4jvfOc7lr8pu0IpwyQCEnS0zrlY56lpz9GJFOc++eQT7Nu3D6+88gr27NnT4fZDhw5BVVXk5uY6WjcYbVOynHNA+Nw5Eue0omCfPn06XI+TeEdor0Npm+k7psZ0IBRrqQeLcwzDMImHxTmG+T/IGbV+/XpbnelULDCaOZdKce7SSy/FmWeeib59+wpXGr0/J5gJUnaitcwEzHiIc7SYpOKR2+22LPhYiXOqquouup3EUgFdR5yLLHCRczA/P990sLcdcS6aAkQ8nHNAR3GOOirNOqa1uN1u8fum4ik55QgW5xime2IkzlFRtn///rYiffXmztExy65zzqw4XVVVhaqqKsiy3MHJV1BQINYPRs9B596CgoIO74eOe/v27TONhaypqcH3v/99/Otf/zJ9P1picc7pnZMWL16MrVu3oqCgAH/605+QnZ0NSZIwf/58cZyn4r0ePp9PPK/ezDk6HzY3N5tGDB45cgRtbW3IzMwUM6sqKiqE28wMVVU7iHOSJIUV9rRUVFRAVVVkZ2frFiudiHNHjhxBY2MjMjIyxO9IT5yjLv6srCxHbnLtOtNqTW01Zy8SOn9HinPkrjh06FDYrKF4E41DhdZeVuJcMBjEJ598AsC42G03ySBZzjkncadm0H5bUVEhfndm0L5jtQbUc84dP34cNTU1kGU5bL03ZcoU8f/Dhg0Lu3bR+03RMYTFOSYV0DHoyJEjaGpqEnPXYyFZzrmVK1eK/9ZbS9BxfsCAAY7TeiLPhfX19eJ4Eat4aQc6h1dUVGDz5s0AOopvkVDDOaGde65dV7733nuicWPw4MGGjQna98niHMMwTGJgcY5h/o8JEyYAsO+csztzLhXi3IABA/CnP/0Jr7/+Or744gv87//+r2HUgxlmAgu9PzsCpp44F+0cPKBjrCUtmIuLiy0X3fR91NTU6LoBjh49ivr6erjd7rDFLBUM7DrnumqspZ15c0DiYi1JMF27di0CgUDUBZ1YnXNA+2+JCu6RwjC9RqJjTxiGSS/ouB/Z3ECOX7uxSpHus0AggOXLlwOw7ti2U+SipoRevXp1cNa7XC4haBk9h5lIRn9rbW0VznY9Vq5cia1bt+Jvf/ub7eYX7TnfLmbnJCpO3XTTTR3OAfRvOkfoQZ9jfn6+boNQTk4OZFk2fH1CKxQVFRWJbTaKwdNSW1uLlpYWAOHnZyOxit6PtolLi5MiKYnHw4YNE79LM3HOiWsOCF/bWQmyZvNy9aDPNlKc6927NzIyMhAIBMQ6IRFE41CxG2u5Zs0asd4y+h7tNksla+ZcvJxzgwYNwuDBg+H3+/HGG29Y3l+7P5ih54Kl4/OgQYOQmZkp/n711Vfjuuuuw5133gkgdCxxuVwIBAK6v0+eOcekkvz8/LDf/9ChQ2OO5KdztCzLtpofoznOBINBfPnll+Lf77zzToemEjq3Oom0JEico+t6auDt27dvUiJo6Xy+ceNGnDhxArIsWzqtS0pKxDVq3759w5pHBwwYgJ49eyIQCOB3v/sdFixYAACmaQ7l5eViDaPXgMQwDMPEDotzDPN/kLNs//79tmKj0nnmnJbMzEwMGjQIGRkZjh9rJEj5/X7xt2hnzsXinOvXrx+A0IVsfX29WITbEXsKCwshyzJUVdV1PdKie+jQoWHFSr0oGzO6qnPOzrw5IHGxluPHj0dpaSkaGhqwfPlyUeyL1jlHbgKnM+eA9s+I3mOkk3DBggW49957xZBuhmG6B9RtHhmvREK+3QJRpHPus88+Q0NDA3r37i2cVUbYKXKR6GBUbKGilNFzmDWhZGVliUK1mfuKjsF2i+hA+/nViThn5JxTFEXMj9Gbt0LnBDr36UGFP6PioyzLttz3kd39TqIV6RxWUlIStnahBigjcc7onKctSJo5H4H2ddOIESNEFKtZrKXTZhqXyyW2x2pN5STW0ufzid8SrSsJWZZ15xvHE7/fLwT7aGIt/X6/YeQsAHz44Yfiv30+H1pbW8NuV1XVtiCUaOdcvGMtJUnCVVddBQB46aWXLN2PdsU5PedcZKQlkZeXhx/96EdiH3S5XOL59X5T9Jw8c45JFdqmn3i4wui4XVZWZqsOEY04t2HDBvh8PhQWFmLkyJEIBAJ4+eWXw+5D51A77r1IaJ1B65hkRloC7efw1atXAwi54LKysiwfR+65yPQWWZaxePFi3HDDDWFrP7M1ZXZ2NqZNm4b8/PykuAUZhmG6IyzOMcz/kZ+fL5xSiqJAlmXTIgDd1tTUJLqVtZA411nFGaC9mBUZCUPvLTMz07TIYuYupEJRNM45r9crPtdDhw45mj+j/V71tosW3ZFuJ+1nYXWRryiKuLDoCs45bWHOqXMuEAh0iOSKJdZSlmXMmTMHAPDuu+9GHWupjQlRFEUUXp2Ic5GuUT3n3DnnnOM4QoVhmM4NCRS7d+8OO35SgchuVNSwYcMgyzKqq6tx4sQJvP766wCAb3/726KL2Qgnzjmj4zk9h5G4ZuUQt7MNWtFoyZIltiIEo3Gm0/kmssHm4MGD8Pl8yMzMDHPLE3accxSzrPd4gs6JZp+FVpzT/r8TcS7yHEZNJJGxlvR+IkUpgtZTwWDQ0qGlLVZSIbCqqqqDEElryWiiC2fNmoXevXt3iOuKxIlzjubNFRYW6q4h6PNPlDi3e/duKIqCoqIiR4182kYgo2jL1tZWfPrpp2F/ixTWWlpaRMyqVbNUspxz8Yq1BIALLrgA+fn5OHLkCJYtW2Z6X7vpCXoiu5E4pwf9pvTcsLGkSjBMPNBe+8ZDhKFztF1RLJrjDEVaTp8+Hd/97ncBAP/5z3/CIqRjcc5FbpNRnSBR0PqMmiuszoHEmWeeCQA49dRTO9xWWlqKG264Aa+//joee+wx3HnnneLa2oiHH34Y7777LjcPMAzDJAgW5xhGg3YuW3FxselMmJycHNGdrOfAom7cVDvnYkF7EaotMGpdgWbCg9lcPioURSPOAeEXuE7EOe12mYlzkR1xVLhRVdWyUFVbWwtFUSBJkuPB0+kCFbhaWlrCxFm74pzX6xXF48iCUCzOOQA4//zzAQDLli0TBZVYZs5VVVUhGAzC5XI5+j1GinORM+cYhumeDBo0CLIso76+Psw57tQ5l5WVJdw7n3/+ueicvvDCCy0f60ScS4Rzzu42aEWjw4cPh82O0aO5uVnEZMZj5hzNcBkxYoTumo+K9WYz58ghaSbO6cXhRRIpztHvxI44ZNRgYjRzzsoplJWVJc5pVnPntM65nJwc8XuKdM/FIs7dfvvtePPNNy0Lg0aR3HoYRVoSTsTRaNB+bk6aeDIyMoQLxUicW716NRoaGtCjRw/D/ZD+nZGRYbl+sbMvL126NGw+pl1UVY17rCUQ+g1feumlAPTnUGlxOnNOux/Te3YizkX+prQiOBe/mVQRb+fcGWecgVGjRon90IpYxbmzzz4bpaWlqK6uxgcffCDuE4tzjtZBK1euxN///nd8/fXXAJLvnCPsinMXXXQR3nzzTdPPXpZlnHzyybjooossG75kWQ6L7WUYhmHiC4tzDKOB5s4B1nGLkiQZijyqqqZNrGUsUDErGAyGuZ+oI9nqvVHBrrq6OqwbvrW1VRT1oom1BBA2WN3p/BkjR5+qqobinMfjEWKsVbQlFWMLCwtNBd50JisrS3z/2g50u7GWkiQZRoHG2h1cXl6OYcOGobW1FWvWrAHgXJwrKSmBJEkIBAKiONu7d2/Li5PI59DidI4OwzBdE4/HIxxJu3fvBhAqopNg4KR7mwpkjz32GFRVxZQpU2w5fOMRaxmrc85K3APaRRRyE/773/82vK92Wzwej6OGCKNYSYq0NCp4UbHejjg3ePBgw/skWpwzapyxirU0EyPo+zMT544fP47q6mrIsozy8nIAMIy2jHbmHGFHwKLzstE8aC1W4hztw2aRprHgxHEVidXcOSpMz549W+yfkfuhNtLS6rPVOk/13K3btm3Drbfeiuuuu0430tQMv98vXCHxFqbmzp0LWZbx1Vdfic87ElVVo54519TUJH5Hdr5H7bWLFu1xgcU5JlWMHDkSGRkZyMzMFMfxWBg0aBAWL14sXFxWOBXnqqurxXX7tGnT4Ha7MW/ePADACy+8AEVR0NjYKNYq0YhzdB4+ePAgnn76aXFNnKx4x2jFOUmS0KdPH0fXtQzDMEzq4KM1w2jQinORhXc9jJxhTU1NQszqzOJcdna2WNRpBRYqelh9RkVFRZAkKSzmEQiJPaqqIiMjI2qBRjsLxMnMOcBYnKuvrxffpd5FCQlAVuJcNJFb6YheB7pd5xygP5sDiN05B4TiigAIR6fTTnyPxyP233Xr1gFwFmkJdPz9R86cYxim+6KNtgTaO7eLioocFV+p4EvnlW9/+9u2HkfH18bGRgSDQd37JMs5Zybu0Pnlhz/8ISRJwooVK3Qj3wjtPFcnbiMjcW7Lli0AjAte9NkcOXJEd/aaoihibpidWEujmV2BQECcX6OJtTRal+nFWqqqKiIdzc57dgqlVBgdNGiQmINjJc7FM7owEq04ZxWRaiXO0ftP1Jw1EouiKfKSwKnnnAsEAvjss88AAOecc47h9+ikUYpEKVVVdQXmpUuXAgilLdx2222mInQkdF9ZluOeQNCrVy+cffbZAEKz5/Soq6uDz+cTxWwzIo8jmzZtgqqqKCsrs7XmNxLc6bvIy8vjYjqTMgoKCvDII4/gr3/9a0quaehY5Pf7dUeGRLJq1SoAoYZa2v8uvfRSZGdnY+fOnbjnnnvEvtazZ8+o3tP06dPx17/+Fbfccgsuu+wyTJ8+HT/60Y+SloyTnZ0tjjtutzsuoinDMAyTfvDqj2E0lJWViYK9HUcX3VcbWwW0F0lyc3M7dQSAJEm6gpRd55zb7RYLbe1nRMW40tLSqOdxUTHF6cw5oL0LLbIbmjrje/TooTts2cgJFom2eNiZoX2Avq+2tjbx307EucjPK5aZc8R5550X9ttx6pwD2t8Di3MMw8Qbmr0VKc45nXmidWPk5ubirLPOsvU4bZFXT1xQVdVSnEv0zLlAICCeY/LkyWI2ypIlS3Tvr90Wp4UxrThGok1bW5uIpDMS53r37g1JktDS0qL7ORw+fBiBQAAej8f0HELnOyOh59ChQ1BVFbm5ueK90Tqnrq7OUiCidZmROFddXS3cSQ0NDcJxZbbNdpxz9PlpBaZUinM9evSALMtQFEU3Ul2LlThn9Z05ZevWrfjHP/6B+vp6KIoSkzhH6w09cW7VqlVoampCSUkJxo8fL96HUaylnbWY2+0WgqDe57FixQoAgMvlwuHDh/G73/3O1vxIoP13kZeXl5AZvVdeeSWA0JxiPdGQXHMlJSUiIcOISJF9/fr1AMLHIpihvXbRfj60XbGsixkmHpx88smYOHFiSl47OztbRPbacc/RcUc7Vy0/Px933XUXZFnGa6+9hnvuuQdAdK45IFQLmTZtGubPn48FCxbgkUcewXXXXRfVc0ULXa8OHz7c8hjFMAzDdE5YnGMYDZIkYdKkSQCMi1VarMS5zi7OAPpuMbvOOUDfXUgCT7Tz5gB955zdYp1RTJXRzBbCaGZNJF1NnKOi3/bt26EoCvLy8mw5QvWcAm1tbeK3FItzrlevXpg8ebL4dzTiHP3+du7cCcA6zigSFucYhjGCXFSR4hzFN9pFW7ifM2eO7YYfWZbFMVivyFVXVyc6042aLRI9c47WEuSiv+KKKwAAb775JgKBgO5joj2/9urVC7m5uWhpaREzY/bu3YuWlhZ4vV7Dwp3H4xHHer1oy7179wJonzNohJFzj9DOxCGBIjs7W5yHrdxztK6KPC8VFhYiKysLqqqKbSXXXM+ePXUbkQg74pxeFLhWnNO6DZMhzsmyLH4bVnPnkinO+Xw+/PSnP8Vf//pXXHnllXj55ZfR0tKCzMzMqIrGtN7QzgQmyMU2e/ZsyLJs6ZyzKwiZza6jePAHH3wQmZmZWLFiBR5//HFbz0v7RKLiHMeOHYuysjK0trbqRluSOGenQUvbdKYoCjZs2AAAGDdunK1t6dWrFzweD4LBYFiDIH0XHGnJdGckSbIdbakoinDOTZ8+Pey2WbNmYcGCBQDaz1FOG6PSCbpeHTlyZIq3hGEYhkkULM4xTAQ/+tGPcM0119iKjjKKR6TiUWeOtCT03E9O5ulR0U4rYFK8UjzEudraWlFgsRsjaSTO0b+NhFkSgPSKIVq6aqzl2rVrAQATJ060Fbuj99uhAoR2Jl20ULQlEJtzjoqHTp1zhYWFcLvd4t8szjEMQ5Bzbs+ePVBVNWrnXI8ePdC3b19IkoT/+q//cvRYsyIXFYaLi4sNO7HNnHOqqsY8c47WAuSinzZtGkpLS9HQ0IDVq1frPiba82tGRoaIt3vnnXcAtEdannTSSabnNDo36IlzNG/OLNISsBZ6aB0TKdSQmGs2d05RFLEui0x9kGVZNLKsXLky7H1YNaRE65wbOHAg3G43fD5fmABBbr1EinOAvblzzc3NovHIjjinF2nqhBdeeEH8disrK3H//fcDCM3QjSbG0CzWkhoCyM1lFM/pNGLc6De8atUqqKqKYcOGYcaMGfjv//5vAMDTTz9ta14iiXPRrOPsIEmS2D8pglaL3XlzQPu6lmZZbdy4EYB955wsy2KWofaziXUWM8N0FeyKc9u2bUNtbS28Xi/Gjh3b4fZLLrkEN998s/h3tM65dGD69OnIyMjArFmzUr0pDMMwTILo0uJcQ0MDFi5ciLFjxyI3NxcFBQU45ZRT8OCDDxp25MYCzcuQJMlxZzSTPgwYMAA/+clPbF0g6QlPgDPxKt2hIoq229turKX2PtoiiTbWMlq8Xq/4/J1e1FKhraKiImwWDxWs2DkXItI5R/GPWseaGXrOObrYysvLg8vlimn7Zs2ahby8POTn50eV/R/pFnEqzsmyHLYPmDkQGIbpXgwYMEAIFBUVFaIoHE339qJFi/D444877po2irMD2ueHmqUEmBXJmpqaxFo62plzkS56WZZx5plnAgA+/fRT3cfE0vxCDR0fffQR/H4/tm7dCgAYPXq06ePiKc7Zcc5poX+biRy1tbVoa2uDJEm6n8tpp50GAFi+fDkA+2KElTjX1NQkPhNt/Krb7RbXQdpoy2Q45wD9ebmR0GeQn59v2ChE3xkJMdFSXV2N559/HgBwxx13YO7cueI27efmBKNYS20jAH0H8Zg5Z/Y8kdFyc+bMESkk1NRlhjbWMlHQZ6HnQLUrVgMhJy2t9b755hs0NTXB6/WKZgw70D6tna3p1MXIMF0Vu+LcmjVrAABTpkwJa5TUcvXVV+OHP/wh+vXrhzPOOCOem5lU5s2bh2XLlmHq1Kmp3hSGYRgmQXRZcW7//v0YN24c7rrrLjGs2e/3Y+3atfjFL36BadOmmXaCOuXTTz/FE088EbfnYzoHepGNQNcS5/TcYtHEWsbbOQd07Ha2K9D06NEDHo8HiqKIbQGsYy3tzpzris45RVFEFBgVXazQi/Fy2qltRm5uLhYvXox//OMfUWXwxyrOAe2fkdfrjar7nWGYronb7RZC3M6dO6OOtQRCgp7d464WI8cMAMt5c9rH19bWdnAO0XnO6/UaNiZYFdn0GnVInFu6dKnuzKpYzq8TJkxA79690dTUhGXLlgnnnJXoaeS2B9pjLa3EOb1mFS1Gzjn6t1msJTXQFBUV6RYpSZxbv349mpqabItzVt8f/Yb0BC69uXPJEuciG4v0ILHTyDUHhAsxsURbPv300/D5fBg1ahQuvPBC/PrXv8aiRYtw7rnninloTiHnHLkRiZqaGtTX10OSJPHbMYujBGKLtVQURTgy6XcGtK8Tv/nmG8vnTXSsJdB+3I3VOQe0b+eyZcsAAGPGjHHUbKYnuCfjM2CYzoBdcU6vMUSP//f//h9ee+21Tu2cA2AoQDIMwzBdgy5ZSQwGg7jooouwb98+9OnTBx9++CGamprg8/nw0ksvIS8vD19//TW+973vxeX1fD4frr/+erjdbpx88slxeU6mc2A1c64riHORAksgEBD/bef9mYlzsTjngPAiltvttl3wkWVZCDF0UQ5YO+fo+a3Eua7mnKusrMT27dvR1NSEnJycsPgqM/TEuXhH9/Tv3z/qCy6tOOfxeKL6vrTiHMMwjBZyU6xatQp+vx8ulyuqJoBoMSty2XHOUcNLIBBAc3Nz2G12RDKrWEs9cW7SpEnIz89HTU2NmOek97rRHK9lWcb5558PAHjjjTfEvNFRo0aZPs7IOacoim1xzizWUlVVIWJFOitJPKI5cXqQCGW0purbty8GDBiAtrY2fPnll+K5YnXO0W9Ib2YhfR5adxCJcyQsJQo6L5uJc/QZmIlzQOxz5w4dOoSXX34ZAHDzzTeLJp5TTz0V99xzj+Xvxggj5xyJT3369BHzKeM9c077WWzbtg01NTXwer1h0Y4TJkwA4EycS4Zzzkycs3tsprXtF198AcD+vDlCOzObcCqUMkxXxa44R7WWzn6tzTAMwzBAFxXnnnvuOZEB//LLL4sZE7Is44orrhADqt955x18/PHHMb/eb3/7W+zevRu/+tWvLKNxmK6FNrJR21XelcQ5ulgmQYrem8fjsXUhrecujIyyihZtUaWoqAiSJNl+bKQ4p6pq3JxzXU2cq6mpEfN/7M6bAxLvnIsVbUGxrKzM0e+HYHGOYRgjyD30ySefAAD69euX1O5nOzPnzMS5rKws4UqOfA474hy9fn19va4LTs9F73a7MWPGDAD60Zb0utFEGQMQ4tyKFSsQCASQn59vKVIZiXMVFRVoaWlBRkaG5XOYxVoePXoU9fX1cLvdHeLx6LMxE5poTWWWZkCf6fLly+MWa0nfn544p9cAleyZc2afmZFTMZJYxbm///3vCAaDmD59Ok455ZSonkMPWnNEOuf0HLpG8bZOBSG956Go1KlTp4Yd28aOHQtZlnHkyBHTeFEgObGWJHrTPku0tbUJkdmpc45+X07FOdoWPecci3NMd8euOEfX2l2h1sIwDMMwXVacA4CzzjoL06dP73D7lVdeicGDBwMAFi9eHNNrrVq1CosWLcLw4cPxu9/9LqbnYjofVJQKBAJhF8hdRZwBOrrFtMKjHTGDPgN6XDAYFP8dqzhHQ9UB54W6yJiq+vp60YGsV2gCOgqVeiiKIi4oOnusZWFhIdxuN1RVxfvvvw/AfqQlYC7OpUMBorCwUBSeo3WzsDjHMIwR5Iqhc16y5xHbEeeMzncAIEmSofvNjjhH5wBVVXXFDaP5sxRt+dlnn3WI04x1fTVkyBCcdNJJ4t8jR460XMvQ+eHo0aNhIiPNmxs4cKBlrB19Fs3NzR3mXm/btg1AyGkZGdFM66Tq6mrDedl2osZpHtjy5cttixFacS7yewDMnXN6gmY6zZwjcU67jtTDTqF45cqVuPbaazs4PVesWCHWTjfffLPVZjuC3IdGzjmtA9PoPThNsdATKiPnzWm3r7y8HIC1ey4ZkY6FhYXIz8+HqqphotixY8fQ1tYGj8dju8gfuX4dO3aso22hxsIjR46Iudc8c45hQrBzjmEYhumOdDlxzufziS4+6o6NRJIkzJkzBwDwwQcfRP1afr8f1157LVRVxRNPPGE4c4PpumRlZYkLZG1sY1dyzkW6xZy+t8hYyxMnTkBVVbjd7pjdU9qOZ6fPRUUp6uqmAlLPnj0N55eROKfX+U7U1tZCUZSwomZnRZZl8T3v2LEDABxF96a7c06SJFFUjFaco8IpzwlhGCaSSBdUZGRhoolVnNM+R6R7yo4453a7xXlTbxuMXPTTp0+Hx+PB4cOHsXv3bvH3YDAoziexNL9ccMEF4r+tIi2BkHjhcrnQ2toq1kBAuzhnJ5owJydHuM4j1xAkzunNvsvPzxdrEiMnGP3dTJybNGkSsrKycPz4cbS1tSEjI8NyHUdrGL/f3yHWFDCfH0xrrMrKSrS2tkJRlKQ55+I1cw6wds41NjZi4cKF2LBhA37+85+LtWR1dTUWLlwIALjiiiss5yI5xSrWUtsIQPuwVhhuaWkR+7SZe1ZL5PGkrq4OmzZtAhA+b46wG22ZjFhLSZJ0oy3p++rTp4/jVAggtO873e6ePXsiOzsbiqKI3yH9vngtyXR36DijTdyJRFXVLtUIzTAMwzBdTpzbunWr6GodM2aM4f3otoqKCtOTvxm///3vsXXrVlx33XU444wzonoOpvMTKT45ncmW7hjFWjoV5+rq6hAMBkWndWlpqe0LYSO0Hc9OC3WRkUtWkZZA+2dB3d960O+gsLDQ0YD4dEXbUe31em3PmwPS3zkHIGZx7owzzsBll12G6667Lp6bxTBMF6Bv375i7hOQPs655uZmUQy2KszH4pwze3xbW5tYT0Q6d7KzszFt2jQA4dGWJCbIshxTEfu8884T6w874pzL5RIClNYJRvPmKI3DDO02R4pzW7duBYAwRx8hSZJ4bRLDIrETa+nxeMJiFcvKyizXYNnZ2YaxpoC5c664uBiZmZlQFAUVFRVobm4W7rtEz5yj9Wl9fb2u29Dv94vPzG6spVFT1uOPPy7WfXV1dfj5z3+OpqYm3HnnnaiurkZ5eTl++tOfRv1ejKDP0CjWUtsIkJOTI9aj9D3Sd+f1em2LS5FC5RdffAFVVTF06FBd993EiRMBWItzyYi1BNqPv/QZAe2NZ05mF2uPPdo5e3aRJEmMwVi7di2A+M9jZpjOip1Y4oaGBrS2tgJgcY5hGIbpGnQ5cU570WwW16K9LXKGhB2+/vprPPDAA+jVqxf++Mc/On68EyorK7F582ZH/6PB8kziiRTnnM5kS3diFefy8/NFUaC6uhr//Oc/AbTP4omF3NxcUfhz6lIjYY/2f233rBFGhTUtdguWnQVtsW/ChAmOBEet65KaJqhjOVoxLN5cfPHFGDFihIhRc4rX68WCBQswefLk+G4YwzCdHlmWw4SbdHHOUTNKTk6O5TolFuec2TacOHECiqLA5XLpPoc22jLyNYuKimJq7unRoweuvvpqTJw4EVOnTrX1mMgobMCZcw5oPydqXViqqpo654B28dIoppGKmFbxhNroQTvztbQJAHpz58zEOUmSwj4zEpFcLleYYJ0I8vLyxGvoFXipKSsvL89S5DVzzu3YsQP//ve/AQB33nknevbsid27d+PKK6/EypUrkZmZibvvvtswjSEW9JxzgUBA/D61jQCSJHXYD7UzJ+3O26XnqKurg6IoeP755wFAzHaPhISrXbt2mTa1JSPWEoCuc47EMRIS7aDdTqfz5ggau7Fy5UoAyfsMGCbdofPJsWPHdOOUgfZahNZZzjAMwzCdmeRNpU8S2llQZjOAtLeZzY/SIxgM4tprr0UwGMSiRYsS3uX26KOP4q677kroazDRYyTO2Z3Jlu5oxTlFUcSFrN0ZFbIso7i4GFVVVXjllVfw6aefwuVy4cc//nFctq9///6oqalxLM6ROFRTUwOfzycKGnacc2bHjK4Ws6H9np0KUNp5Q01NTfB6vdi5cycAfYdAKjj33HNx7rnnpnozGIbpogwdOlSIL+kizpGoYifOzsj5ZvdcZyTukQuspKREV2g7/fTTIcsytm/fjiNHjqCsrCyuzS9O1yCRM9RUVRXOObvinJ7QU1lZiZqaGsiybNi0RM45I3HObtOUNnrQjjgHhL7/Y8eOdfj+FEUxjCUlysrKsGfPHhw+fFg0+uTm5iZ8bSxJEkpKSnDo0CFUVVV1eK8kzvTv399yW+g7i/z9q6qK+++/H4qiYPbs2bjoooswZMgQXH/99UL4uu2222z/NpxC17Fa59yhQ4egKApycnI67JeFhYU4ceKErjhnF+1n8dlnn2HXrl3wer244oordO9fUlKCvn374vDhw9i4caPuHHggObGWQEdxTlEUrFu3DoCzyHZt8kM0zjkgJM498sgjWLt2LZqamkRsbLqkSjBMqigpKYEkSQgEAqipqdE933e1a22GYRiGSQvn3D/+8Q9IkhT1/957772kbu99992Hb775BhdeeCHmzZuX1Ndm0o9IcY4iUtLFGRQrWkHqqaeewoYNG5CdnW3YKasHfUbPPPMMAGD+/PkdZvFEC3W7OhV7cnNzhXh05MgRW4UK+iz8fr9uVBLQtZ1zkyZNcvRYj8cjZnHW19dj//79CAQCyM7ODoskZRiG6arQua6goCDpkWX0ej6fL+yc5UScMxLX6N9WjTFGAiEJO0aNPkVFRaLwvWrVKgCpPb9GinOVlZXw+XxwuVyWc8sIPfc9RVoOHTrU0FFGn5FerGVra6v4XMxiLek9kEDsRJwD9J2TwWAQsiwbvq72MyPnVKLnzRFmbkMSZ+zEkWrdYlreeecdrF+/HllZWbj11lsBAKNHj8bChQvh8XhwwQUX4JJLLonhHZhDsZZa5xy9r4EDB3YQHSNFRjtR7pHQZ6EoCv76178CAK688kpTt5eduXOpiLVUFAXbtm1DY2MjcnNzHV1D0PstKCiwve9HUl5ejh49eqC5uRlLly4FEGpmTHTkK8OkOxkZGeIcbxTl7DTFh2EYhmHSnbQQ5+KJdmEfOSRbi/Y2JxcDW7Zswf/8z/8gNzcXjz76aHQbyXQpIsW5FStWAIDtqKR0RxtN+NRTTwEAFixY4Ehcoc9IURT07ds3rvO5fvzjH+Ptt98Oi2uyizZyyY5zLicnRxQ8jCJ6qEjWVbr5qMCVnZ1tGLllhrYYScJ1eXl5zPMGGYZhOgNjx44FYG+2WbzJzc0Vx1qtOObENRMv51zk46noZuS6AiBmpH311VeOXjMRRM6ppUjLgQMHwu22F0Si55yzirQEzJ1z9Jm43W5b4u+NN96IkSNH2m6wMhLnSODt2bOnYdw1rbEOHz4s1kzJEh+oaEtFXC1OZgXqRZEC7c1m119/fdhv+Nxzz8VHH32E3//+9wl1CNJ2VVdXo6WlBUC7OKc329Io1lIvktQIj8eD7OxsAMCBAweQnZ2N7373u6aPsRLngsGguCZPdKRjWVkZ3G43WlpaUFVVJZJAJk2a5GhNOnbsWPTs2ROXXHJJ1N+xJEliriY1Gefn5/PamGEAyzmr7JxjGIZhuhppEWt51VVX4cILL4z68doICG1h/fDhw4ZZ8HRxHfkYK3784x8jEAjgrrvuQlFRUYcCfTAYBBCKO6HbMjMzkZGRYfs1Irnpppswd+5cR4/ZtWsXLr744qhfk7EPLQyPHz+O1tZWrFmzBgAM41s6G9ouZ0VR8O1vfxsXXHCBo+fQLp5vv/124aaKB7Ismxb3zCgrK8PWrVtx6NAhW13E1NXa2NiI+vr6bhG1MWnSJOTn52POnDm2C5Ba8vPzUVlZGSbOjRgxIt6byTAMk5ZMnDgRjz32WMLi7cygWVPV1dWoq6sTzRZOCvN6zrlAICDi9BLlnANCUXNPPPEE1q5dC1VVbbv1EoG2mUdRFLz11lsA9IUQI/TEOXLOmTl3zAqVNFONosCscBrlbCWumv2GtIJmOjrn7Hx3et+Zoig4ePAgAOD888/v8BizsQrxol+/figrK8ORI0ewbNkynHPOOVGJc05iLel5KIJx3rx5ljGMJM5t2rQJra2tHa6HtTHxif5tuN1u9OvXD/v27cO+ffvE9Ro1AdilV69eePfdd2MWX6dPn463335bOIN53hzDhOjduze2bNliKc6xc45hGIbpKqSFOJeZmRm34eAjR46ELMtQFAWbNm3SvWgCQhcJQOjk7yQeh7otFyxYgAULFhje78CBA8KR99BDD+FnP/uZ7deIpLS01PZ8Lyb5kAhTXV2N9evXo7m5GcXFxRg+fHiKtyw+eDweeDweBAIBDBkyBL/85S8dPwd1J5933nlpJVpSsW3r1q2ic9eqWJmfn4/GxkbDuXNUPEx2fFmiKC0txSeffGI4lNsKrXOOHAJdZd9gGIaxg5N5RvGGxLlonXN64gw5xDMyMizTJ6zEObPmmjFjxsDj8eDEiRM4cOBAWjjnjh07hoULF+L999+HLMuOogv1Yi3pvGgmzpnFWmrFuURg5ZwzWzNpBc1ki3P0edDnQyiK4ijWUk+cO378OBRFgcvlSllxWJIknHfeeXj22WfxwQcf2Bbn6H1EE2sJhD6Po0ePIisry9I1R9tSUFCAuro6bN++HWPGjAm7ndbSXq/X0IEZTwYNGoR9+/Zh165dws0XzfE5Hq7IqVOnQpIktLW1Aeg61w0MEyt0XqHzTCTkiO4qjbAMwzAM0+WyE7xerxh4bjSLTlVVvP/++wDgqHuUYfTQxlpSpOW0adO6VDTJhAkTUFBQgPvuu09E2jhh3rx5ePjhh7Fw4cL4b1wMUOGIom169uwJj8dj+hgqLBmJc1T46GoX2dEWIvRiLdk5xzAMkxz0xLF4iXNFRUWW5wajWEwSmsyazzwej4gFXbt2bUpnzhUXF8Pj8UBRFLzzzjuQZRl33323o4YjEoxWr16NQCCAqqoqnDhxArIsmzat0GdUXV2N1tbWsNtSJc7Zcc7RGqu2tlZsZ6rFucrKSjQ3N8Plctmau6ed20ifPRWMS0tLU7rWp2vY5cuXo7Gx0bZzrrW1VXwuTp1zJEZefvnltvZDSZLE7Mj169d3uJ3W0slyjdFn8/bbb6O5uRmFhYVxm4HtlKKiojBRnp1zDBOCYy0ZhmGY7kbXUQ80XH311QCATz/9FF9++WWH25csWSJmRcyfP9/Rc+/btw+qqhr+j1574MCB4m+xuOaY9Ecrzi1fvhwAopp/ls789a9/xVtvvRV1LFdmZiZmzJgRU7xrIqCOYSpS2Okg1s7g04MKkF1NnIsW+rx27dqF2tpayLKMYcOGpXirGIZhugeR4lowGBRd505mztXX1wuHBxXG7BTnY4m1BNpdLV999VVKxTlZlsXnJcsy7r33XpxzzjmOnuPcc89FSUkJDh06hOeee05EWg4aNMg07ruwsBAZGRlQVbXDDLVUO+fMnI85OTliDbB9+3YAqRfnSMAaMGCArahu7dxGar6y4xpMBsOGDcPgwYMRCATw8ssvw+fzQZZl3ZnQ2v2wsrISqqrC4/E4joi98cYb8YMf/AA33HCD7cfQPEVq0NJCLtJki3O0LZMnT06pwKoV960iQhmmu2DXOcexlgzDMExXocuKc2PHjoWqqrjsssvw8ccfAwhFmSxZsgTXX389gNCcgNmzZ3d4/MKFCyFJEiRJEhdxDGMEFYkURcHu3bshSRKmTp2a4q2KL7IsR+WYS3ciu6btFCopwovFOXtQwYVmewwePNjSncgwDMPEh0hxrLKyEoqi2C7MFxQUCHcciRMk1DgR57TijqIotmItgVDxHAg555yIgolg5syZ8Hq9uO+++3SvH6zwer34+c9/DgB49tln8dFHHwFoFy+MkGVZiE2RM9To3+kYawm0r7N27twJIDUz57Sx3DSewO6sQFmWxbov3cQ5SZKEe27x4sUAQk1memss7XFAO3PSaSrCyJEj8eMf/9jRXD1qyNq9e3eH22gtnazfxcCBA8P+7XTeXLyZNm2a+G8W5xgmhJVzjsU5hmEYpqvRJcU5t9uNN954A4MGDcLhw4dx9tlnIycnBzk5OZg3bx7q6+sxceJEvPDCC6neVKYL4Ha7w4SYkSNHOu5EZVJDZGHCjnOOijTamTFEa2srmpqaALA4R5A4R40OHGnJMAyTPCLFucOHDwMIFb/sOEZkWRbHcXqOaJxzzc3N8Pv9AEJCT1tbG2RZtoylorlz1dXVKRfnfvrTn+KTTz7BrFmzon6Oc845B1OmTEEgEMA777wDwHzeHGFUrKQiZaLEOSPno1NxjgShZIkwVLT1+/1i3h0AR/PmiMi5c/QdWAnLyeC8884D0L5tRqKj9ns8cuQIAOfz5qKFxLk9e/ZAUZSw25IdaxkpzqVyHigAjBs3TgidLM4xTAg6tlZVVQnHPhEIBMQ1OItzDMMwTFehS4pzQOjiZMOGDbjjjjswZswYSJKEjIwMTJ48GX/605+watUqFlCYuKEtFHW1SMuujMfjCStoOXHOaYs9BBVHZFlOWgEq3YksuJjN1WEYhmHiS6S4sm7dOgD2BKHI5yD3lBPnXG5uLlwuF4CO4kaPHj0sowU9Ho+YWUWkcv1uJwrRDEmS8Otf/zrseaycc4CxOJcs55zP50MgEAAQKo5SxKiVQBUpAOXk5CRgKzuSmZkp1h/aaEunzjmg4z6ULs45IBTPqd2XI8UnQvseaPudzpuLlr59+yIzMxOBQAAHDx4Muy3ZsZb5+fniuNWzZ0/DzytZuN1uzJgxAwB040gZpjvSo0cPuFwuKIrSIcqZzj1ut1tckzMMwzBMZ6fLinNAqIh+1113YePGjWhsbER9fT3Wrl2L2267zTRWbeHChWJenJOLNwD4xz/+AVVVOQ6zm6Ht3GJxrnOhjbZ0MnNOzzlHhZuCgoKUzrBIJyILLuycYxiGSR6RwsLKlSsBhM86soIEmkjnnJXrDQiJUXrRmoD1vDmCoi2B0Dkl3ebXOmXgwIFi5rUkSbaaVrQxjVoSPXMuNzdXCIkkytI2ZGZmWrp9IuPDk9m4RJ/ZgQMHxN/o+szJ9V06O+cAiGhLwNo55/f7xWeQLHFOlmUMHToUQGj+sJZkx1oC7Z/RySef7DjWMxHcfvvtuOeeexzPsGSYroosy4YNKdr1RzrsvwzDMAwTD7h6zDBxgApUeXl5GD16dIq3hnGCU3HObOYcFW440rIdds4xDMOkDq0wVl9fjy1btgAIn3Vk9zlInKHOdbsOtsjH2503R2jFua6SenHttdfizDPPxPz5823N79IrVPp8PhGlbVfodIpWXKXvXStOWRVHI9dVyRRhJk2aBABYunQpgFBTFb2HaMQ5aspKJ+ccgDBRx8gJlp2dLUTtrVu3AkieOAe0R1saiXPJcs4BwGmnnQYgNHs+HcjPz8e5557LTX0Mo4HOeXS8JXjeHMMwDNMV4VUgw8QB6lieMmWKiG9iOgfawpGdQouZOKd1zjEhtAWXXr168WfDMAyTRLTi3JdffglFUTBkyBBHYk6kc44EDjvOOb3Hk7hjdxtGjx6NzMxMR6+Z7mRlZeFPf/oTbr75Zlv313POUZHS6/XaEviihb4/ElediFORzrlkxVoCwOzZswEAn332GYLBoHCMlZaWOvq8aB1TV1eHlpYW8TtOF3GuT58++M53voNp06ZhzJgxuveRJEmsvyhaMh3EuWTHWgLA97//fXzyySdCpGMYJv0wEuecOPcZhmEYprMQ2+AEhmEAAJdffjmOHTuG66+/PtWbwjiEZjz07NnTNO6WsCPOsXOuHW3BhSMtGYZhkotWnIsm0lL7HDU1NThy5AiOHj0KwLlzjs6RmzdvBgD079/f1uNp7tzq1attzbnrilChUivOJTrSkogUV52Ic71794YkSVBVFUBynXMTJ05EUVERampqsG7dOrHdgwcPdvQ82t8vff5erzetZgvfeuutlvcpLCwMm9+UDuJcKmItZVlOqhjIMIxzjGIt2TnHMAzDdEXYOccwcaCsrAx333234xmFTOoZO3YsXC4XJk6caOv+dmbOsTjXDotzDMMwqUM7a2rZsmUAnItzJM5s27YN119/PXw+HwYPHowhQ4Y42gaK1ly3bh0AOHKuzJgxA4BxbF9Xh5xzx48fR1tbG4Dki3PkWKBiqR1xzuPxhG1fskWYM888EwDw0UcfYe/evQCcRVoC4TPntMJkZ5t3pF2bulyuhP9utJA4d+jQITQ3N4u/pyLWkmGY9IfOLyzOMQzDMN0BFucYhunW9O/fHx988AHuvvtuW/enwhI75+yRm5srClgszjEMwyQX7aypmpoaeDwe280oBJ3T1q9fj2PHjmHgwIH4+9//DrfbXgCH1nm3cuVKEa1JznU7zJs3D48++iiuvfZaR9veVSguLobL5YKiKKI4SS6uRIssJMK+9dZbUBRFCFR2ZwZqoy2T7TabNWsWgFC05e7duwE4d87piXN233s6oV2b9urVK6kzzoqLi1FUVARVVYVICqQm1pJhmPTHyjnHsZYMwzBMV4LFOYZhuj0FBQW2ixRUQGhsbISiKGG3sTjXEVmW0bdvX7jdbowePTrVm8MwDNOt0M6aAoDJkyeL+W120Z7TBg8ejCeeeMJR17o2FnHp0qUAgNNPP93RNrjdbkyZMsXxtncVZFkW7jkqVlKRMtHi3Ny5c5GXl4fdu3fj7bffdhRrCYTP9k3kbDw9TjnlFOTn56O6uhpffvklgPiIc+kyb84J2v04mZGWhF60ZSpiLRmGSX/oGGs0c46dcwzDMExXgsU5hmEYB9DMOUVRwqJ5gFDhBkBYIZQBHn30UTz33HNJjVBiGIZhQmiL8k4jLQGgvLwcmZmZKC8vx+OPP+64Y51e//jx41ixYgUAYObMmY63o7tD4hw55pIVa5mfny8ci3//+9+jds55vd6kurWAkKhLvzWKA41XrGVnI93EOUVR0NjYCICdcwzDhEPnl5qaGgQCAfF3EufYOccwDMN0JVicYxiGcUBmZiY8Hg+AjnPn2DmnT1lZGUdaMgzDpIhYxbmSkhK8//77eOGFF1BcXBz162/YsAENDQ0oLCzE2LFjHT9Pd4eKlZWVlVAUBXv27AGQeHEOAK644gr07t0blZWV8Pl8YdtjBYlzqXJHUbQlEGqwcvobpt9vZ4+11DaOad2MySJSnDtx4oRIoGBxjmEYLfn5+cjKygLQ7hZXVZWdcwzDMEyXhMU5hmEYhxjNnWNxjmEYhkk36JzUq1cvx64hIjc3N2rXE70+FeJnzJiRdAdVV0Aba/nWW29h9+7dyMrKwoQJExL+2h6PBz/60Y/EvwsKCpCdnW3rseXl5QBSIwgBwLRp00Sc5qBBg8QcXLuQqNXW1iYE0c7unEvF9g8dOhRAuzj36KOPAgjNI6amN4ZhGCAUyR05d66hoQGtra0AEFWjEMMwDMOkK3xlzDAM4xCKtqQ4HoLFOYZhGCbdoCLW9OnTHQsT8YBmzhEcaRkdJM5t374dDz/8MADgxhtvTJqD4Pzzz8fw4cMBOHOODR8+HI8//jjuueeeRG2aKR6PR8w4dDpvDgglJtCsQ5rz1xmdc6mOtRwyZAgAoLq6Gh999BHefPNNSJKEX//610nfFoZh0h86zpJjmY6/+fn5LOgzDMMwXQp3qjeAYRims0HxO9pYy0AgIKKeWJxjGIZh0oUrr7wSLS0tuP7661Py+to4vYyMDEybNi0l29HZoULl2rVrAYQcaVdddVXSXl+WZdx22224+eabMXXqVEePnTx5coK2yh433ngjWltb8d3vfjeqxxcUFIhZfwCLc9Hg9XrRt29fHD58GAsXLgQAXHbZZRg3blzSt4VhmPSHHL7knCNxjiMtGYZhmK4Gi3MMwzAOIeecNtaSXHOyLKdsrgrDMAzDRDJgwADccccdKXv9zMxMZGdno7m5GSeffLKIGGScoRWEJEnCggUL4HYn91Ju8uTJ+OSTT4STrLMwYMAAPPDAA1E/XivOFRcXd0rXBjloZVlOmbg4bNgwHD58GC0tLejRowd+8pOfpGQ7GIZJf4zEuR49eqRsmxiGYRgmEbA4xzAM4xA9ca6urg5AqDM5FbFhDMMwDJOuFBUVobm5mSMtY4BiLQHgkksuSZnjKCsrKyWvm0q07s/OOG8OCIm78+fPR48ePZCRkZGSbRg2bBg+//xzAMAvf/lLbmZjGMaQyFjLEydOAGBxjmEYhul6sDjHMAzjEDPnHEdaMgzDMEw4l156Kb744gucd955qd6UTkvPnj0xdOhQBAIBdhwlma4gzgHALbfcktLXnzp1Kp5++mmcddZZmD17dkq3hWGY9MZInONYS4ZhGKarweIcwzCMQ/RmzrE4xzAMwzD6XHPNNbjmmmtSvRmdGlmW8eKLLyIYDHbKWMXOTFcR51LNpEmT8MYbb6BXr16cMsEwjCkkzh09ehSrV6/GkSNHALBzjmEYhul6sDjHMAzjEIrhYeccwzAMwzDJQpZlFuZSgHZtl6p5bV2FsrKyVG8CwzCdgN69eyMjIwPNzc246aabxN/ZOccwDMN0NeRUbwDDMExng5xzLM4xDMMwDMN0bdg5xzAMk1yys7Px5z//GRdccIGYuSpJEkaMGJHiLWMYhmGY+MLOOYZhGIeYzZzTFnAYhmEYhmGYzo12bcfOOYZhmOQwffp0TJ8+Haqq4tChQ2hra8OgQYNSvVkMwzAME1dYnGMYhnEIiXPamXN1dXUA2DnHMAzDMAzTlWDnHMMwTOqQJAn9+/dP9WYwDMMwTELgWEuGYRiHlJSUAAgNqFYUBQDHWjIMwzAMw3RFSJxzu90oLi5O8dYwDMMwDMMwDNNVYHGOYRjGIQMHDkR2djaam5uxb98+ACzOMQzDMAzDdEUGDx6MwsJCTJkyBbLMl88MwzAMwzAMw8QHjrVkGIZxiCzLGDlyJNatW4fNmzdjyJAhLM4xDMMwDMN0QfLy8vD2228jIyMj1ZvCMAzDMAzDMEwXglv/GIZhomDkyJEAgK1btwJod85p55IwDMMwDMMwnZ/MzEx2zTEMwzAMwzAME1f4CoNhGCYKRo8eDQDYvHkz/H4/WlpaALBzjmEYhmEYhmEYhmEYhmEYhjGHxTmGYZgoIOfczp07cfz4cQCAy+VCTk5OKjeLYRiGYRiGYRiGYRiGYRiGSXNYnGMYhomCfv36IS8vD4FAAF999RWAkGtOkqQUbxnDMAzDMAzDMAzDMAzDMAyTzrA4xzAMEwWSJAn33PLlywFwpCXDMAzDMAzDMAzDMAzDMAxjDYtzDMMwUUJz57788ksALM4xDMMwDMMwDMMwDMMwDMMw1rA4xzAMEyXknGtsbAQAFBQUpHJzGIZhGIZhGIZhGIZhGIZhmE4Ai3MMwzBRQs45gp1zDMMwDMMwDMMwDMMwDMMwjBUszjEMw0RJaWkpiouLxb9ZnGMYhmEYhmEYhmEYhmEYhmGsYHGOYRgmSiRJwqhRo8S/WZxjGIZhGIZhGIZhGIZhGIZhrGBxjmEYJgZYnGMYhmEYhmEYhmEYhmEYhmGcwOIcwzBMDLA4xzAMwzAMwzAMwzAMwzAMwziBxTmGYZgYYHGOYRiGYRiGYRiGYRiGYRiGcQKLcwzDMDFQXFyM0aNHIzc3F/3790/15jAMwzAMwzAMwzAMwzAMwzBpjjvVG8AwDNPZeeqpp9DS0oK8vLxUbwrDMAzDMAzDMAzDMAzDMAyT5rA4xzAMEyMZGRnIyMhI9WYwDMMwDMMwDMMwDMMwDMMwnYAuHWvZ0NCAhQsXYuzYscjNzUVBQQFOOeUUPPjggwgEAlE/78KFCyFJkuX/du3aFcd3wzAMwzAMwzAMwzAMwzAMwzAMw3R2uqxzbv/+/TjzzDOxb98+AIDX64Xf78fatWuxdu1avPDCC/j4449RVFQU9WtkZGSguLjY8Ha3u8t+vAzDMAzDMAzDMAzDMAzDMAzDMEwUdEnnXDAYxEUXXYR9+/ahT58++PDDD9HU1ASfz4eXXnoJeXl5+Prrr/G9730vptc59dRTUVFRYfi/QYMGxecNMQzDMAzDMAzDMAzDMAzDMAzDMF2CLinOPffcc9i4cSMA4OWXX8bZZ58NAJBlGVdccQUef/xxAMA777yDjz/+OGXbyTAMwzAMwzAMwzAMwzAMwzAMw3Qvuqw4BwBnnXUWpk+f3uH2K6+8EoMHDwYALF68OKnbxjAMwzAMwzAMwzAMwzAMwzAMw3Rfupw45/P5sHz5cgDA+eefr3sfSZIwZ84cAMAHH3yQtG1jGIZhGIZhGIZhGIZhGIZhGIZhujfuVG9AvNm6dSsURQEAjBkzxvB+dFtFRQWqq6tRXFzs+LU2b96MMWPGYM+ePZBlGX379sXMmTNx0003YeLEidG9AR0qKytRVVXl6DG7du2K2+szDMMwDMMwDMMwDMMwDMMwDMMw8aHLiXNHjhwR/923b1/D+2lvO3LkSFTi3PHjx1FdXY3CwkLU19djx44d2LFjB55++mn85je/wR/+8AfHz6nHo48+irvuuisuz8UwDMMwDMMwDMMwDMMwDMMwDMOkji4Xa9nQ0CD+2+v1Gt5Pe5v2MXYoLy/HAw88gO3bt6OlpQUnTpxAU1MT3n//fUyePBmqquLuu+/Ggw8+6PwNMAzDMAzDMAzDMAzDMAzDMAzDMF2WtHDO/eMf/8APfvCDqB//7rvvihlyyeC73/1uh795PB6ce+65mDlzJmbOnIk1a9Zg4cKF+H//7/+hoKAgadtmBMdcMgzDMAzDMAzDMAzDMAzDMPFg6NChyMrKSvVmMEynJS3EuXiSl5cn/tvn8xneT3ub9jGxkpWVhXvuuQfnnHMOGhsb8fHHH+PSSy+N6TlvuukmzJ0719FjPvnkE9xyyy3i3xdffHFM28AwDMMwDMMwDMMwDMMwDMMwALBp0yaMHj061ZvBMJ2WtBDnrrrqKlx44YVRP17rTCsrKxP/ffjwYYwbN073MYcPH9Z9TDyYPn26+O89e/bE/HylpaUoLS119Bh2yjEMwzAMwzAMwzAMwzAMwzAMw6QfaSHOZWZmIjMzMy7PNXLkSMiyDEVRsGnTJpx//vm699u0aRMAoHfv3iguLo7LazMMwzAMwzAMwzAMwzAMwzAMwzCMGWkhzsUTr9eL0047DcuWLcN7772HX/7ylx3uo6oq3n//fQDAueeeG/dtWLVqlfjvwYMHx/357XDGGWfgtddeE//u379/3ARQJj3YtWtXWFzpa6+9hmHDhqVugxgmxfA+wTDt8P7AMO3w/sAw7fD+wDDh8D7BMO3w/sA4ZejQoaneBIbp1HQ5cQ4Arr76aixbtgyffvopvvzyS0ydOjXs9iVLloi4yfnz5zt6blVVIUmS4e1+vx+//e3/b+/Og6qs9ziOfw4CclhUDJPUhNxQ1Lpm4nQLl4ulpra7L5SmVuakF3VsylCz0kKb66h1vY5p5m7ee7XFJdLQFrti5ZJJBkiSlhs7sp3n/sGckwSo4OE5LO/XDDPH5/d7nvN9ZvzN4cf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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize the DF/F traces and velocity for the roll in m/s.\n", + "\n", + "import pandas as pd\n", + "from matplotlib import pyplot as plt\n", + "\n", + "# Prepare data for plotting\n", + "data = df_over_f_traces.data[200:600, :2]\n", + "timestamps = df_over_f_traces.get_timestamps()[200:600]\n", + "\n", + "velocity_x = velocity.data[200:600, 0]\n", + "\n", + "fig, axes = plt.subplots(nrows=3, ncols=1, figsize=(6, 4), sharey=False, sharex=True, dpi=300)\n", + "\n", + "for i in range(len(axes)-1):\n", + " axes[i].plot(timestamps, data[:, i], linewidth=0.5, color=\"green\")\n", + " axes[i].spines['top'].set_visible(False)\n", + " axes[i].spines['right'].set_visible(False)\n", + " \n", + " axes[i].tick_params(axis='y', labelsize=6)\n", + " axes[i].tick_params(axis='x', labelsize=6)\n", + " axes[i].spines['bottom'].set_visible(False)\n", + " axes[i].set_ylim([-0.01, 0.09])\n", + "\n", + " axes[i].legend([f\"∆F/F Fiber {i+1}\"], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 6})\n", + "\n", + " axes[i].spines['top'].set_visible(False)\n", + " axes[i].spines['right'].set_visible(False)\n", + " \n", + "axes[-1].plot(timestamps, velocity_x, color=\"black\", alpha=0.8, linewidth=0.5)\n", + "axes[-1].spines['top'].set_visible(False)\n", + "axes[-1].spines['right'].set_visible(False)\n", + "axes[-1].legend([\"Roll velocity\"], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 6})\n", + "axes[-1].tick_params(axis='y', labelsize=6)\n", + "axes[-1].tick_params(axis='x', labelsize=6)\n", + "\n", + "plt.xlabel('Time (s)', fontsize=6)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "a4623d02-06fb-4eaa-920d-526e79831478", + "metadata": {}, + "source": [ + "The onset times of the events (licking, tone, light or reward delivery) are added to `nwbfile.processing[\"behavior\"][\"TimeIntervals\"]` table." + ] + }, + { + "cell_type": "code", + "execution_count": 295, + "id": "bb4fadaa-caca-4eb2-b84b-2f13b23361fa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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start_timestop_timeevent_type
id
010.2130011.04650Light
125.3155026.14900Light
236.2505037.55050Tone
369.7887570.62225Light
487.6582588.95850Tone
............
1581312.377251312.51050Lick
1591313.644251313.71100Lick
1601318.245001319.04500Light
1611325.112501326.37950Tone
1621330.613501331.44700Light
\n", + "

163 rows × 3 columns

\n", + "
" + ], + "text/plain": [ + " start_time stop_time event_type\n", + "id \n", + "0 10.21300 11.04650 Light\n", + "1 25.31550 26.14900 Light\n", + "2 36.25050 37.55050 Tone\n", + "3 69.78875 70.62225 Light\n", + "4 87.65825 88.95850 Tone\n", + ".. ... ... ...\n", + "158 1312.37725 1312.51050 Lick\n", + "159 1313.64425 1313.71100 Lick\n", + "160 1318.24500 1319.04500 Light\n", + "161 1325.11250 1326.37950 Tone\n", + "162 1330.61350 1331.44700 Light\n", + "\n", + "[163 rows x 3 columns]" + ] + }, + "execution_count": 295, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "events = nwbfile.processing[\"behavior\"][\"TimeIntervals\"][:]\n", + "events" + ] + }, + { + "cell_type": "code", + "execution_count": 310, + "id": "1512c91e-2ba8-49e1-a44b-62db6ab2078b", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "from matplotlib import pyplot as plt\n", + "import matplotlib.lines as mlines\n", + "\n", + "# Prepare data for plotting\n", + "data = df_over_f_traces.data[700:1200, 0]\n", + "timestamps = df_over_f_traces.get_timestamps()[700:1200]\n", + "\n", + "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(6, 2), dpi=300, sharex=True)\n", + "\n", + "light_events = events[events[\"event_type\"] == \"Light\"]\n", + "light_events = light_events[(light_events[\"start_time\"] >= timestamps[0]) & (light_events[\"stop_time\"] < timestamps[-1])]\n", + "\n", + "tone_events = events[events[\"event_type\"] == \"Tone\"]\n", + "tone_events = tone_events[(tone_events[\"start_time\"] >= timestamps[0]) & (tone_events[\"stop_time\"] < timestamps[-1])]\n", + "\n", + "ax.plot(timestamps, data, color=\"green\", linewidth=0.5)\n", + "\n", + "for ind, row in light_events.iterrows():\n", + " ax.fill_between(timestamps, min(data), max(data), where=(timestamps >= row[\"start_time\"]) & (timestamps <= row[\"stop_time\"]), color='blue', edgecolor='none', alpha=0.1)\n", + "\n", + "for ind, row in tone_events.iterrows():\n", + " ax.fill_between(timestamps, min(data), max(data), where=(timestamps >= row[\"start_time\"]) & (timestamps <= row[\"stop_time\"]), color='red', edgecolor='none', alpha=0.1)\n", + "\n", + "# Create proxy lines for legend entries with corresponding colors and transparency\n", + "green_line = mlines.Line2D([], [], color='green', label='∆F/F from striatum', alpha=0.5)\n", + "blue_line = mlines.Line2D([], [], color='blue', label='Light', alpha=0.1)\n", + "red_line = mlines.Line2D([], [], color='red', label='Tone', alpha=0.1)\n", + "\n", + "# Set legends with proxy lines\n", + "ax.legend(handles=[green_line, blue_line, red_line], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 6})\n", + "\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.tick_params(axis='y', labelsize=6)\n", + "ax.tick_params(axis='x', labelsize=6)\n", + "\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 21ace85e6bc85320d88a098c2c9fa4ca4563f15c Mon Sep 17 00:00:00 2001 From: weiglszonja Date: Tue, 9 Jul 2024 10:38:15 +0200 Subject: [PATCH 2/5] update --- .../vu2024/tutorials/vu2024_tutorial.ipynb | 924 +++++++++--------- 1 file changed, 474 insertions(+), 450 deletions(-) diff --git a/src/howe_lab_to_nwb/vu2024/tutorials/vu2024_tutorial.ipynb b/src/howe_lab_to_nwb/vu2024/tutorials/vu2024_tutorial.ipynb index 17b269b..f8e650d 100644 --- a/src/howe_lab_to_nwb/vu2024/tutorials/vu2024_tutorial.ipynb +++ b/src/howe_lab_to_nwb/vu2024/tutorials/vu2024_tutorial.ipynb @@ -43,14 +43,14 @@ }, { "cell_type": "code", - "execution_count": 265, + "execution_count": 1, "id": "e83eb9d5-98ec-4e26-8b92-c900b8be2a5d", "metadata": {}, "outputs": [], "source": [ "from pynwb import NWBHDF5IO\n", "\n", - "nwbfile_path = \"/Volumes/t7-ssd/Howe/nwbfiles/ROIs_GridDL-18_211110.nwb\"\n", + "nwbfile_path = \"/Volumes/t7-ssd/Howe/nwbfiles/GridDL-18_211110.nwb\"\n", "\n", "io = NWBHDF5IO(nwbfile_path, \"r\")\n", "nwbfile = io.read()" @@ -70,7 +70,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "04afe225-06d3-4640-a4c9-9b8994be8a74", "metadata": {}, "outputs": [], @@ -99,7 +99,7 @@ }, { "cell_type": "code", - "execution_count": 190, + "execution_count": 4, "id": "83dc0e1c-1fbf-46e3-b7a1-b45eb6c396e8", "metadata": {}, "outputs": [ @@ -142,49 +142,49 @@ " });\n", " });\n", " \n", - "

TwoPhotonSeries

resolution: -1.0
comments: no comments
description: Two-photon imaging acquired at 30 Hz with Hamamatsu microscope.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
dimension
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: nan
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: nan
indicator: unknown
location: unknown
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" + "

TwoPhotonSeriesGreen (TwoPhotonSeries)

starting_time: 0.0
rate: 29.994900866852635
resolution: -1.0
comments: no comments
description: Two-photon imaging acquired at 30 Hz with Hamamatsu microscope.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
dimension
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" ], "text/plain": [ - "TwoPhotonSeries pynwb.ophys.TwoPhotonSeries at 0x13973916624\n", + "TwoPhotonSeriesGreen pynwb.ophys.TwoPhotonSeries at 0x6262828944\n", "Fields:\n", " comments: no comments\n", " conversion: 1.0\n", - " data: \n", + " data: \n", " description: Two-photon imaging acquired at 30 Hz with Hamamatsu microscope.\n", " dimension: \n", - " imaging_plane: ImagingPlane pynwb.ophys.ImagingPlane at 0x13975706832\n", + " imaging_plane: ImagingPlaneGreen pynwb.ophys.ImagingPlane at 0x6261508176\n", "Fields:\n", " conversion: 1.0\n", " description: Imaging plane for the two-photon microscope.\n", - " device: HamamatsuMicroscope pynwb.device.Device at 0x13973430288\n", + " device: HamamatsuMicroscope pynwb.device.Device at 0x6262831888\n", "Fields:\n", " manufacturer: Hamamatsu Photonics\n", "\n", - " excitation_lambda: nan\n", + " excitation_lambda: 470.0\n", " grid_spacing_unit: meters\n", - " indicator: unknown\n", - " location: unknown\n", + " indicator: dLight1.3b\n", + " location: STR\n", " optical_channel: (\n", - " OpticalChannel \n", + " Green \n", " )\n", " origin_coords_unit: meters\n", " unit: meters\n", "\n", - " interval: 1\n", " offset: 0.0\n", + " rate: 29.994900866852635\n", " resolution: -1.0\n", - " timestamps: \n", - " timestamps_unit: seconds\n", + " starting_time: 0.0\n", + " starting_time_unit: seconds\n", " unit: n.a." ] }, - "execution_count": 190, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "two_photon_series = nwbfile.acquisition[\"TwoPhotonSeries\"]\n", + "two_photon_series = nwbfile.acquisition[\"TwoPhotonSeriesGreen\"]\n", "two_photon_series" ] }, @@ -198,7 +198,7 @@ }, { "cell_type": "code", - "execution_count": 191, + "execution_count": 6, "id": "0027ce1b-4a88-4280-8258-ac7a4deedfae", "metadata": {}, "outputs": [ @@ -241,40 +241,40 @@ " });\n", " });\n", " \n", - "

ImagingPlane

optical_channel
0
description: An optical channel of the microscope.
emission_lambda: nan
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: nan
indicator: unknown
location: unknown
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" + "

ImagingPlaneGreen (ImagingPlane)

optical_channel
0
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" ], "text/plain": [ - "ImagingPlane pynwb.ophys.ImagingPlane at 0x13975706832\n", + "ImagingPlaneGreen pynwb.ophys.ImagingPlane at 0x6261508176\n", "Fields:\n", " conversion: 1.0\n", " description: Imaging plane for the two-photon microscope.\n", - " device: HamamatsuMicroscope pynwb.device.Device at 0x13973430288\n", + " device: HamamatsuMicroscope pynwb.device.Device at 0x6262831888\n", "Fields:\n", " manufacturer: Hamamatsu Photonics\n", "\n", - " excitation_lambda: nan\n", + " excitation_lambda: 470.0\n", " grid_spacing_unit: meters\n", - " indicator: unknown\n", - " location: unknown\n", + " indicator: dLight1.3b\n", + " location: STR\n", " optical_channel: (\n", - " OpticalChannel \n", + " Green \n", " )\n", " origin_coords_unit: meters\n", " unit: meters" ] }, - "execution_count": 191, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "nwbfile.imaging_planes[\"ImagingPlane\"]" + "nwbfile.imaging_planes[\"ImagingPlaneGreen\"]" ] }, { "cell_type": "code", - "execution_count": 218, + "execution_count": 7, "id": "c26d1d11-ab73-4e17-9ca2-87b7d91a7723", "metadata": {}, "outputs": [ @@ -312,7 +312,7 @@ }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 8, "id": "3c9e8339-2147-408e-a417-804213d15c15", "metadata": {}, "outputs": [ @@ -355,7 +355,7 @@ " });\n", " });\n", " \n", - "

FiberPhotometryResponseSeries

resolution: -1.0
comments: no comments
description: Raw fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
table\n", + "

FiberPhotometryResponseSeriesGreen (FiberPhotometryResponseSeries)

resolution: -1.0
comments: no comments
description: Raw fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
table
\n", " \n", " \n", " \n", @@ -390,91 +390,91 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
0CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
1CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
3CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n

... and 99 more rows.

" ], "text/plain": [ - "FiberPhotometryResponseSeries abc.FiberPhotometryResponseSeries at 0x13928735312\n", + "FiberPhotometryResponseSeriesGreen abc.FiberPhotometryResponseSeries at 0x6260665104\n", "Fields:\n", " comments: no comments\n", " conversion: 1.0\n", - " data: \n", + " data: \n", " description: Raw fluorescence traces acquired with multi-fiber array implanted in the striatum.\n", " fiber_photometry_table_region: fiber_photometry_table_region \n", " interval: 1\n", " offset: 0.0\n", " resolution: -1.0\n", - " timestamps: \n", + " timestamps: \n", " timestamps_unit: seconds\n", " unit: n.a." ] }, - "execution_count": 105, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "fiber_photometry_response_series = nwbfile.acquisition[\"FiberPhotometryResponseSeries\"]\n", + "fiber_photometry_response_series = nwbfile.acquisition[\"FiberPhotometryResponseSeriesGreen\"]\n", "fiber_photometry_response_series" ] }, { "cell_type": "code", - "execution_count": 196, + "execution_count": 9, "id": "fe10b8ed-3d01-4cb2-b4a4-a7ed83727b4f", "metadata": { "jupyter": { @@ -538,7 +538,7 @@ }, { "cell_type": "code", - "execution_count": 106, + "execution_count": 10, "id": "e3d6f7f9-be99-47bc-be92-731e38843c2c", "metadata": {}, "outputs": [ @@ -594,72 +594,72 @@ " \n", " 0\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x13930416784\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x5627423760\\nF...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x5625069328\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139289...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [442, 644, 229]\n", " True\n", " [0.83, 0.74, 1.78]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x56...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x56...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", " 1\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x13930416784\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x5627423760\\nF...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x5625069328\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139289...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [454, 642, 304]\n", " True\n", " [0.71, 0.72, 2.44]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x56...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x56...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", " 2\n", " Primary motor area Layer 6a\n", - " dLight1.3b abc.Indicator at 0x13930416784\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x5627423760\\nF...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x5625069328\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139289...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [460, 674, 180]\n", " True\n", " [0.65, 1.04, 1.35]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x56...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x56...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", " 3\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x13930416784\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x5627423760\\nF...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x5625069328\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139289...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [495, 685, 260]\n", " True\n", " [0.3, 1.15, 2.05]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x56...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x56...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", " 4\n", " Primary motor area Layer 6a\n", - " dLight1.3b abc.Indicator at 0x13930416784\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x5627423760\\nF...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x5625069328\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139289...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [400, 686, 160]\n", " True\n", " [1.25, 1.16, 1.17]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x56...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x56...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", " ...\n", @@ -678,72 +678,72 @@ " \n", " 98\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x13930416784\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x5627423760\\nF...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x5625069328\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139289...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [433, 775, 249]\n", " True\n", " [0.92, 2.05, 1.96]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x56...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x56...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", " 99\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x13930416784\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x5627423760\\nF...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x5625069328\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139289...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [444, 815, 381]\n", " True\n", " [0.81, 2.45, 3.12]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x56...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x56...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", " 100\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x13930416784\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x5627423760\\nF...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x5625069328\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139289...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [457, 833, 280]\n", " True\n", " [0.68, 2.63, 2.23]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x56...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x56...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", " 101\n", " Primary somatosensory area mouth layer 6a\n", - " dLight1.3b abc.Indicator at 0x13930416784\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x5627423760\\nF...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x5625069328\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139289...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [482, 821, 396]\n", " True\n", " [0.43, 2.51, 3.25]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x56...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x56...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", " 102\n", " Primary motor area Layer 2/3\n", - " dLight1.3b abc.Indicator at 0x13930416784\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x5627423760\\nF...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x5625069328\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139289...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [396, 791, 209]\n", " True\n", " [1.29, 2.21, 1.6]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x56...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x56...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", "\n", @@ -767,31 +767,31 @@ "\n", " indicator \\\n", "id \n", - "0 dLight1.3b abc.Indicator at 0x13930416784\\nFie... \n", - "1 dLight1.3b abc.Indicator at 0x13930416784\\nFie... \n", - "2 dLight1.3b abc.Indicator at 0x13930416784\\nFie... \n", - "3 dLight1.3b abc.Indicator at 0x13930416784\\nFie... \n", - "4 dLight1.3b abc.Indicator at 0x13930416784\\nFie... \n", + "0 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "1 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "2 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "3 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "4 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", ".. ... \n", - "98 dLight1.3b abc.Indicator at 0x13930416784\\nFie... \n", - "99 dLight1.3b abc.Indicator at 0x13930416784\\nFie... \n", - "100 dLight1.3b abc.Indicator at 0x13930416784\\nFie... \n", - "101 dLight1.3b abc.Indicator at 0x13930416784\\nFie... \n", - "102 dLight1.3b abc.Indicator at 0x13930416784\\nFie... \n", + "98 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "99 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "100 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "101 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "102 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", "\n", " optical_fiber \\\n", "id \n", - "0 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", - "1 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", - "2 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", - "3 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", - "4 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", + "0 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "1 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "2 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "3 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "4 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", ".. ... \n", - "98 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", - "99 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", - "100 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", - "101 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", - "102 FiberArray abc.OpticalFiber at 0x5627423760\\nF... \n", + "98 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "99 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "100 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "101 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "102 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", "\n", " excitation_source \\\n", "id \n", @@ -809,31 +809,31 @@ "\n", " photodetector \\\n", "id \n", - "0 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", - "1 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", - "2 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", - "3 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", - "4 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", + "0 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "1 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "2 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "3 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "4 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", ".. ... \n", - "98 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", - "99 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", - "100 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", - "101 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", - "102 CMOSCamera abc.Photodetector at 0x5625069328\\n... \n", + "98 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "99 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "100 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "101 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "102 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", "\n", " dichroic_mirror \\\n", "id \n", - "0 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", - "1 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", - "2 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", - "3 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", - "4 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", + "0 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", + "1 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", + "2 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", + "3 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", + "4 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", ".. ... \n", - "98 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", - "99 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", - "100 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", - "101 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", - "102 DichroicMirror1 abc.DichroicMirror at 0x139289... \n", + "98 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", + "99 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", + "100 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", + "101 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", + "102 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", "\n", " allen_atlas_coordinates is_good_fiber coordinates \\\n", "id \n", @@ -851,36 +851,36 @@ "\n", " emission_filter \\\n", "id \n", - "0 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", - "1 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", - "2 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", - "3 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", - "4 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", + "0 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "1 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "2 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "3 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "4 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", ".. ... \n", - "98 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", - "99 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", - "100 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", - "101 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", - "102 OpticalFilter525 abc.BandOpticalFilter at 0x56... \n", + "98 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "99 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "100 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "101 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "102 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", "\n", " excitation_filter \n", "id \n", - "0 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", - "1 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", - "2 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", - "3 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", - "4 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", + "0 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "1 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "2 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "3 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "4 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", ".. ... \n", - "98 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", - "99 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", - "100 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", - "101 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", - "102 OpticalFilter470 abc.BandOpticalFilter at 0x56... \n", + "98 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "99 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "100 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "101 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "102 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", "\n", "[103 rows x 11 columns]" ] }, - "execution_count": 106, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -899,7 +899,7 @@ }, { "cell_type": "code", - "execution_count": 311, + "execution_count": 12, "id": "f68f5dce-2c8c-4cd4-a57d-5f090cb50b6d", "metadata": {}, "outputs": [ @@ -955,72 +955,72 @@ " \n", " 0\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x13948034640\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x13929973712\\n...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x13958077328\\...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139034...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [442, 644, 229]\n", " True\n", " [0.83, 0.74, 1.78]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x13...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x13...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", " 1\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x13948034640\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x13929973712\\n...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x13958077328\\...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139034...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [454, 642, 304]\n", " True\n", " [0.71, 0.72, 2.44]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x13...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x13...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", " 2\n", " Primary motor area Layer 6a\n", - " dLight1.3b abc.Indicator at 0x13948034640\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x13929973712\\n...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x13958077328\\...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139034...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [460, 674, 180]\n", " True\n", " [0.65, 1.04, 1.35]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x13...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x13...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", " 3\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x13948034640\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x13929973712\\n...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x13958077328\\...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139034...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [495, 685, 260]\n", " True\n", " [0.3, 1.15, 2.05]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x13...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x13...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", " 4\n", " Primary motor area Layer 6a\n", - " dLight1.3b abc.Indicator at 0x13948034640\\nFie...\n", - " FiberArray abc.OpticalFiber at 0x13929973712\\n...\n", + " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x13958077328\\...\n", - " DichroicMirror1 abc.DichroicMirror at 0x139034...\n", + " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", " [400, 686, 160]\n", " True\n", " [1.25, 1.16, 1.17]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x13...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x13...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", " \n", " \n", "\n", @@ -1037,19 +1037,19 @@ "\n", " indicator \\\n", "id \n", - "0 dLight1.3b abc.Indicator at 0x13948034640\\nFie... \n", - "1 dLight1.3b abc.Indicator at 0x13948034640\\nFie... \n", - "2 dLight1.3b abc.Indicator at 0x13948034640\\nFie... \n", - "3 dLight1.3b abc.Indicator at 0x13948034640\\nFie... \n", - "4 dLight1.3b abc.Indicator at 0x13948034640\\nFie... \n", + "0 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "1 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "2 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "3 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "4 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", "\n", " optical_fiber \\\n", "id \n", - "0 FiberArray abc.OpticalFiber at 0x13929973712\\n... \n", - "1 FiberArray abc.OpticalFiber at 0x13929973712\\n... \n", - "2 FiberArray abc.OpticalFiber at 0x13929973712\\n... \n", - "3 FiberArray abc.OpticalFiber at 0x13929973712\\n... \n", - "4 FiberArray abc.OpticalFiber at 0x13929973712\\n... \n", + "0 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "1 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "2 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "3 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "4 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", "\n", " excitation_source \\\n", "id \n", @@ -1061,19 +1061,19 @@ "\n", " photodetector \\\n", "id \n", - "0 CMOSCamera abc.Photodetector at 0x13958077328\\... \n", - "1 CMOSCamera abc.Photodetector at 0x13958077328\\... \n", - "2 CMOSCamera abc.Photodetector at 0x13958077328\\... \n", - "3 CMOSCamera abc.Photodetector at 0x13958077328\\... \n", - "4 CMOSCamera abc.Photodetector at 0x13958077328\\... \n", + "0 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "1 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "2 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "3 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "4 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", "\n", " dichroic_mirror allen_atlas_coordinates \\\n", "id \n", - "0 DichroicMirror1 abc.DichroicMirror at 0x139034... [442, 644, 229] \n", - "1 DichroicMirror1 abc.DichroicMirror at 0x139034... [454, 642, 304] \n", - "2 DichroicMirror1 abc.DichroicMirror at 0x139034... [460, 674, 180] \n", - "3 DichroicMirror1 abc.DichroicMirror at 0x139034... [495, 685, 260] \n", - "4 DichroicMirror1 abc.DichroicMirror at 0x139034... [400, 686, 160] \n", + "0 DichroicMirror1 abc.DichroicMirror at 0x626282... [442, 644, 229] \n", + "1 DichroicMirror1 abc.DichroicMirror at 0x626282... [454, 642, 304] \n", + "2 DichroicMirror1 abc.DichroicMirror at 0x626282... [460, 674, 180] \n", + "3 DichroicMirror1 abc.DichroicMirror at 0x626282... [495, 685, 260] \n", + "4 DichroicMirror1 abc.DichroicMirror at 0x626282... [400, 686, 160] \n", "\n", " is_good_fiber coordinates \\\n", "id \n", @@ -1085,28 +1085,28 @@ "\n", " emission_filter \\\n", "id \n", - "0 OpticalFilter525 abc.BandOpticalFilter at 0x13... \n", - "1 OpticalFilter525 abc.BandOpticalFilter at 0x13... \n", - "2 OpticalFilter525 abc.BandOpticalFilter at 0x13... \n", - "3 OpticalFilter525 abc.BandOpticalFilter at 0x13... \n", - "4 OpticalFilter525 abc.BandOpticalFilter at 0x13... \n", + "0 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "1 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "2 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "3 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "4 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", "\n", " excitation_filter \n", "id \n", - "0 OpticalFilter470 abc.BandOpticalFilter at 0x13... \n", - "1 OpticalFilter470 abc.BandOpticalFilter at 0x13... \n", - "2 OpticalFilter470 abc.BandOpticalFilter at 0x13... \n", - "3 OpticalFilter470 abc.BandOpticalFilter at 0x13... \n", - "4 OpticalFilter470 abc.BandOpticalFilter at 0x13... " + "0 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "1 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "2 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "3 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "4 OpticalFilter470 abc.BandOpticalFilter at 0x62... " ] }, - "execution_count": 311, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "fiber_photometry_table_region = nwbfile.acquisition[\"FiberPhotometryResponseSeries\"].fiber_photometry_table_region[:]\n", + "fiber_photometry_table_region = nwbfile.acquisition[\"FiberPhotometryResponseSeriesGreen\"].fiber_photometry_table_region[:]\n", "fiber_photometry_table_region.head()" ] }, @@ -1120,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 13, "id": "f8646f84-a5d2-4caa-922f-dd940048ba3d", "metadata": { "jp-MarkdownHeadingCollapsed": true @@ -1168,7 +1168,7 @@ "

FiberArray (OpticalFiber)

description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.
manufacturer: Fiber Optics Tech
model: not specified
numerical_aperture: 0.66
core_diameter_in_um: 34.0
" ], "text/plain": [ - "FiberArray abc.OpticalFiber at 0x5627423760\n", + "FiberArray abc.OpticalFiber at 0x6261509904\n", "Fields:\n", " core_diameter_in_um: 34.0\n", " description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\n", @@ -1177,7 +1177,7 @@ " numerical_aperture: 0.66" ] }, - "execution_count": 108, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1188,7 +1188,7 @@ }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 14, "id": "484e638b-12b9-47b2-9d5b-34d4943ccabe", "metadata": {}, "outputs": [ @@ -1234,13 +1234,13 @@ "

dLight1.3b (Indicator)

description: green dopamine sensor
label: pAAV-CAG-dLight1.3b(AAV5)
" ], "text/plain": [ - "dLight1.3b abc.Indicator at 0x13930416784\n", + "dLight1.3b abc.Indicator at 0x6262885712\n", "Fields:\n", " description: green dopamine sensor\n", " label: pAAV-CAG-dLight1.3b(AAV5)" ] }, - "execution_count": 109, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1251,7 +1251,7 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 15, "id": "301fdede-cdb0-4fb3-a743-3e3736c44831", "metadata": {}, "outputs": [ @@ -1301,7 +1301,7 @@ "
manufacturer: Thorlabs
model: SOLIS-470C
illumination_type: LED
excitation_wavelength_in_nm: 470.0
" ], "text/plain": [ - "ExcitationSource470 abc.ExcitationSource at 0x13930225552\n", + "ExcitationSource470 abc.ExcitationSource at 0x6262952080\n", "Fields:\n", " description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\n", "were coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\n", @@ -1314,7 +1314,7 @@ " model: SOLIS-470C" ] }, - "execution_count": 110, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1391,7 +1391,7 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 16, "id": "206bb1f2-269d-4531-93f2-0801ddb6023a", "metadata": {}, "outputs": [ @@ -1437,7 +1437,7 @@ "

DichroicMirror1 (DichroicMirror)

description: The dichroic mirror used to reflect green and pass red fluorescence
manufacturer: Chroma Tech Corp
cut_on_wavelength_in_nm: 532.0
reflection_band_in_nm
[405. 532.]
transmission_band_in_nm
[545. 750.]
model: ZT532rdc
" ], "text/plain": [ - "DichroicMirror1 abc.DichroicMirror at 0x13928936656\n", + "DichroicMirror1 abc.DichroicMirror at 0x6262823312\n", "Fields:\n", " cut_on_wavelength_in_nm: 532.0\n", " description: The dichroic mirror used to reflect green and pass red fluorescence\n", @@ -1447,7 +1447,7 @@ " transmission_band_in_nm: [545. 750.]" ] }, - "execution_count": 112, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1458,7 +1458,7 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 17, "id": "625148f9-3f99-41d7-acf0-b09e7afac56d", "metadata": {}, "outputs": [ @@ -1504,7 +1504,7 @@ "

OpticalFilter525 (BandOpticalFilter)

description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.
manufacturer: Chroma
center_wavelength_in_nm: 525.0
bandwidth_in_nm: 50.0
filter_type: Bandpass
model: 525/50m
" ], "text/plain": [ - "OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\n", + "OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\n", "Fields:\n", " bandwidth_in_nm: 50.0\n", " center_wavelength_in_nm: 525.0\n", @@ -1514,7 +1514,7 @@ " model: 525/50m" ] }, - "execution_count": 113, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -1525,7 +1525,7 @@ }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 18, "id": "c3a4d6cf-f2f6-4ca5-a05e-398b2a070291", "metadata": {}, "outputs": [ @@ -1571,7 +1571,7 @@ "

OpticalFilter470 (BandOpticalFilter)

description: The band-pass filter used to isolate the 470 nm excitation light.
manufacturer: Chroma
center_wavelength_in_nm: 473.0
bandwidth_in_nm: 24.0
filter_type: Bandpass
model: ET473/24
" ], "text/plain": [ - "OpticalFilter470 abc.BandOpticalFilter at 0x5626173328\n", + "OpticalFilter470 abc.BandOpticalFilter at 0x6262961488\n", "Fields:\n", " bandwidth_in_nm: 24.0\n", " center_wavelength_in_nm: 473.0\n", @@ -1581,7 +1581,7 @@ " model: ET473/24" ] }, - "execution_count": 114, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1604,7 +1604,7 @@ }, { "cell_type": "code", - "execution_count": 198, + "execution_count": 19, "id": "94b788b7-9f26-4480-b89e-e3b17379ebed", "metadata": {}, "outputs": [ @@ -1647,7 +1647,7 @@ " });\n", " });\n", " \n", - "

ophys (ProcessingModule)

description: No description.
data_interfaces
BaselineFiberPhotometryResponseSeries
resolution: -1.0
comments: no comments
description: Baseline fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
table\n", + "

ophys (ProcessingModule)

description: No description.
data_interfaces
BaselineFiberPhotometryResponseSeriesGreen
resolution: -1.0
comments: no comments
description: Baseline fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
table
\n", " \n", " \n", " \n", @@ -1682,61 +1682,61 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - "
0CaudoputamendLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
1CaudoputamendLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
3CaudoputamendLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n

... and 99 more rows.

DfOverFFiberPhotometryResponseSeries
resolution: -1.0
comments: no comments
description: Baseline corrected (DF/F) fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
table\n", + "

... and 99 more rows.

DfOverFFiberPhotometryResponseSeriesGreen
resolution: -1.0
comments: no comments
description: Baseline corrected (DF/F) fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
table\n", " \n", " \n", " \n", @@ -1771,61 +1771,61 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - "
0CaudoputamendLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
1CaudoputamendLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
3CaudoputamendLight1.3b abc.Indicator at 0x13973651984\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x13974027216\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x5626079504\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x13931268304\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13975393808\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x13974598736\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5628026576\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n

... and 99 more rows.

ImageSegmentation
plane_segmentations
PlaneSegmentation
description: Segmented ROIs
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: nan
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: nan
indicator: unknown
location: unknown
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
table\n", + "

... and 99 more rows.

ImageSegmentation
plane_segmentations
PlaneSegmentation
description: Segmented ROIs
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
table\n", " \n", " \n", " \n", @@ -1846,47 +1846,47 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - "
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... and 99 more rows.

TwoPhotonSeriesMotionCorrected
starting_time: 0.0
rate: 29.994900866852635
resolution: -1.0
comments: no comments
description: The motion corrected two-photon imaging data.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
dimension
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: nan
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: nan
indicator: unknown
location: unknown
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" + "

... and 99 more rows.

TwoPhotonSeriesMotionCorrectedGreen
starting_time: 0.0
rate: 29.994900866852635
resolution: -1.0
comments: no comments
description: The motion corrected two-photon imaging data.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
dimension
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" ], "text/plain": [ - "ophys pynwb.base.ProcessingModule at 0x13957360272\n", + "ophys pynwb.base.ProcessingModule at 0x6261233680\n", "Fields:\n", " data_interfaces: {\n", - " BaselineFiberPhotometryResponseSeries ,\n", - " DfOverFFiberPhotometryResponseSeries ,\n", + " BaselineFiberPhotometryResponseSeriesGreen ,\n", + " DfOverFFiberPhotometryResponseSeriesGreen ,\n", " ImageSegmentation ,\n", - " TwoPhotonSeriesMotionCorrected \n", + " TwoPhotonSeriesMotionCorrectedGreen \n", " }\n", " description: No description." ] }, - "execution_count": 198, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -1897,7 +1897,7 @@ }, { "cell_type": "code", - "execution_count": 137, + "execution_count": 21, "id": "6557281b-9bd0-40df-a084-766db3497133", "metadata": {}, "outputs": [ @@ -1940,7 +1940,7 @@ " });\n", " });\n", " \n", - "

DfOverFFiberPhotometryResponseSeries (FiberPhotometryResponseSeries)

resolution: -1.0
comments: no comments
description: Baseline corrected (DF/F) fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
table\n", + "

DfOverFFiberPhotometryResponseSeriesGreen (FiberPhotometryResponseSeries)

resolution: -1.0
comments: no comments
description: Baseline corrected (DF/F) fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
table
\n", " \n", " \n", " \n", @@ -1975,91 +1975,91 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
0CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
1CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
3CaudoputamendLight1.3b abc.Indicator at 0x13930416784\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x5627423760\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x13930225552\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x5625069328\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x13928936656\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\ndLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x5627420048\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x5626173328\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\nOpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n

... and 99 more rows.

" ], "text/plain": [ - "DfOverFFiberPhotometryResponseSeries abc.FiberPhotometryResponseSeries at 0x5634051536\n", + "DfOverFFiberPhotometryResponseSeriesGreen abc.FiberPhotometryResponseSeries at 0x6262894288\n", "Fields:\n", " comments: no comments\n", " conversion: 1.0\n", - " data: \n", + " data: \n", " description: Baseline corrected (DF/F) fluorescence traces acquired with multi-fiber array implanted in the striatum.\n", " fiber_photometry_table_region: fiber_photometry_table_region \n", " interval: 1\n", " offset: 0.0\n", " resolution: -1.0\n", - " timestamps: \n", + " timestamps: \n", " timestamps_unit: seconds\n", " unit: n.a." ] }, - "execution_count": 137, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_over_f_traces = nwbfile.processing[\"ophys\"][\"DfOverFFiberPhotometryResponseSeries\"]\n", + "df_over_f_traces = nwbfile.processing[\"ophys\"][\"DfOverFFiberPhotometryResponseSeriesGreen\"]\n", "df_over_f_traces" ] }, { "cell_type": "code", - "execution_count": 221, + "execution_count": 22, "id": "8377268e-e3ea-452b-ae52-78d0da2b70d9", "metadata": { "jupyter": { @@ -2125,7 +2125,7 @@ }, { "cell_type": "code", - "execution_count": 199, + "execution_count": 23, "id": "6e9d5f70-b569-43ad-aa32-41fd434d4ae5", "metadata": {}, "outputs": [ @@ -2168,30 +2168,30 @@ " });\n", " });\n", " \n", - "

TwoPhotonSeriesMotionCorrected (TwoPhotonSeries)

starting_time: 0.0
rate: 29.994900866852635
resolution: -1.0
comments: no comments
description: The motion corrected two-photon imaging data.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
dimension
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: nan
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: nan
indicator: unknown
location: unknown
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" + "

TwoPhotonSeriesMotionCorrectedGreen (TwoPhotonSeries)

starting_time: 0.0
rate: 29.994900866852635
resolution: -1.0
comments: no comments
description: The motion corrected two-photon imaging data.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
dimension
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" ], "text/plain": [ - "TwoPhotonSeriesMotionCorrected pynwb.ophys.TwoPhotonSeries at 0x13923598992\n", + "TwoPhotonSeriesMotionCorrectedGreen pynwb.ophys.TwoPhotonSeries at 0x6262619536\n", "Fields:\n", " comments: no comments\n", " conversion: 1.0\n", - " data: \n", + " data: \n", " description: The motion corrected two-photon imaging data.\n", " dimension: \n", - " imaging_plane: ImagingPlane pynwb.ophys.ImagingPlane at 0x13975706832\n", + " imaging_plane: ImagingPlaneGreen pynwb.ophys.ImagingPlane at 0x6261508176\n", "Fields:\n", " conversion: 1.0\n", " description: Imaging plane for the two-photon microscope.\n", - " device: HamamatsuMicroscope pynwb.device.Device at 0x13973430288\n", + " device: HamamatsuMicroscope pynwb.device.Device at 0x6262831888\n", "Fields:\n", " manufacturer: Hamamatsu Photonics\n", "\n", - " excitation_lambda: nan\n", + " excitation_lambda: 470.0\n", " grid_spacing_unit: meters\n", - " indicator: unknown\n", - " location: unknown\n", + " indicator: dLight1.3b\n", + " location: STR\n", " optical_channel: (\n", - " OpticalChannel \n", + " Green \n", " )\n", " origin_coords_unit: meters\n", " unit: meters\n", @@ -2204,19 +2204,19 @@ " unit: n.a." ] }, - "execution_count": 199, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "motion_corrected = nwbfile.processing[\"ophys\"][\"TwoPhotonSeriesMotionCorrected\"]\n", + "motion_corrected = nwbfile.processing[\"ophys\"][\"TwoPhotonSeriesMotionCorrectedGreen\"]\n", "motion_corrected" ] }, { "cell_type": "code", - "execution_count": 211, + "execution_count": 24, "id": "d8135042-1421-4676-9303-c9b903582fec", "metadata": {}, "outputs": [ @@ -2266,7 +2266,7 @@ }, { "cell_type": "code", - "execution_count": 177, + "execution_count": 25, "id": "214c3bf7-f847-4400-829d-508747b0c39d", "metadata": {}, "outputs": [ @@ -2308,35 +2308,35 @@ " \n", " 0\n", " [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...\n", - " [58, 165]\n", + " [166.47541258012367, 59.00562445763765]\n", " 1\n", " 0\n", " \n", " \n", " 1\n", " [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...\n", - " [79, 162]\n", + " [163.1369152701555, 80.29428559091824]\n", " 1\n", " 0\n", " \n", " \n", " 2\n", " [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...\n", - " [82, 143]\n", + " [144.14977970147507, 83.10331721340896]\n", " 1\n", " 0\n", " \n", " \n", " 3\n", " [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...\n", - " [85, 122]\n", + " [123.4401911607665, 85.54001655461578]\n", " 1\n", " 0\n", " \n", " \n", " 4\n", " [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...\n", - " [99, 110]\n", + " [111.00957492596739, 100.35934701854168]\n", " 1\n", " 0\n", " \n", @@ -2345,24 +2345,24 @@ "" ], "text/plain": [ - " image_mask ROICentroids Accepted \\\n", - "id \n", - "0 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [58, 165] 1 \n", - "1 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [79, 162] 1 \n", - "2 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [82, 143] 1 \n", - "3 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [85, 122] 1 \n", - "4 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... [99, 110] 1 \n", - "\n", - " Rejected \n", - "id \n", - "0 0 \n", - "1 0 \n", - "2 0 \n", - "3 0 \n", - "4 0 " + " image_mask \\\n", + "id \n", + "0 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... \n", + "1 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... \n", + "2 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... \n", + "3 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... \n", + "4 [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,... \n", + "\n", + " ROICentroids Accepted Rejected \n", + "id \n", + "0 [166.47541258012367, 59.00562445763765] 1 0 \n", + "1 [163.1369152701555, 80.29428559091824] 1 0 \n", + "2 [144.14977970147507, 83.10331721340896] 1 0 \n", + "3 [123.4401911607665, 85.54001655461578] 1 0 \n", + "4 [111.00957492596739, 100.35934701854168] 1 0 " ] }, - "execution_count": 177, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -2374,7 +2374,7 @@ }, { "cell_type": "code", - "execution_count": 261, + "execution_count": 27, "id": "8c93c470-92b2-4451-80af-ca0e61c4c8da", "metadata": { "jupyter": { @@ -2396,6 +2396,7 @@ "source": [ "# Visualize the ROIs and the motion corrected imaging data.\n", "from matplotlib import pyplot as plt\n", + "import numpy as np\n", "\n", "plt.imshow(motion_corrected.data[50])\n", "\n", @@ -2428,7 +2429,7 @@ }, { "cell_type": "code", - "execution_count": 266, + "execution_count": 28, "id": "14f9d8cc-d41c-40cd-9497-34a8b712dcf1", "metadata": {}, "outputs": [ @@ -2471,7 +2472,7 @@ " });\n", " });\n", " \n", - "

behavior (ProcessingModule)

description: Contains the velocity signals from two optical mouse sensors (Logitech G203 mice with hard plastic shells removed).
data_interfaces
CompassDirection
spatial_series
SpatialSeries
resolution: -1.0
comments: no comments
description: The yaw (rotational) velocity measured in degrees/s.
conversion: 1.0
offset: 0.0
unit: degrees/s
data
timestamps
timestamps_unit: seconds
interval: 1
reference_frame: unknown
Velocity
resolution: -1.0
comments: no comments
description: Velocity for the roll and pitch (x, y) measured in m/s.
conversion: 1.0
offset: 0.0
unit: m/s
data
timestamps
timestamps_unit: seconds
interval: 1
TimeIntervals
description: The onset times of the events (licking, tone, light or reward delivery).
table\n", + "

behavior (ProcessingModule)

description: Contains the velocity signals from two optical mouse sensors (Logitech G203 mice with hard plastic shells removed).
data_interfaces
AngularVelocity
resolution: -1.0
comments: no comments
description: The angular velocity from yaw (rotational) velocity converted to radians/s.
conversion: 1.0
offset: 0.0
unit: radians/s
data
timestamps
timestamps_unit: seconds
interval: 1
timestamp_link
0: processing/behavior/Velocity/timestamps
Velocity
resolution: -1.0
comments: no comments
description: Velocity for the roll and pitch (x, y) measured in m/s.
conversion: 1.0
offset: 0.0
unit: m/s
data
timestamps (link to processing/behavior/AngularVelocity/timestamps)
timestamps_unit: seconds
interval: 1
TimeIntervals
description: Mice were presented with either visual (blue LED) or auditory (12 kHz tone) stimuli at random intervals (4–40 s). For experiments with water reward delivery, a water spout mounted on a post delivered water rewards (9 μL, Figure 1B) at random time intervals (randomly drawn from a 5-30s uniform distribution) through a water spout and solenoid valve gated electronically. Licking was monitored by a capacitive touch circuit connected to the spout.
table
\n", " \n", " \n", " \n", @@ -2490,42 +2491,42 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", "
010.2130011.0465011.08000Light
125.3155026.1490026.18225Light
236.2505037.5505037.58400Tone
369.7887570.6222570.65550Light

... and 159 more rows.

" ], "text/plain": [ - "behavior pynwb.base.ProcessingModule at 0x14069749904\n", + "behavior pynwb.base.ProcessingModule at 0x6262068304\n", "Fields:\n", " data_interfaces: {\n", - " CompassDirection ,\n", + " AngularVelocity ,\n", " TimeIntervals ,\n", " Velocity \n", " }\n", " description: Contains the velocity signals from two optical mouse sensors (Logitech G203 mice with hard plastic shells removed)." ] }, - "execution_count": 266, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -2536,7 +2537,7 @@ }, { "cell_type": "code", - "execution_count": 264, + "execution_count": 29, "id": "e7a9306f-b2f6-422c-9cdb-1a4f3bc5c058", "metadata": {}, "outputs": [ @@ -2579,24 +2580,39 @@ " });\n", " });\n", " \n", - "

Velocity (TimeSeries)

resolution: -1.0
comments: no comments
description: Velocity for the roll and pitch (x, y) measured in m/s.
conversion: 1.0
offset: 0.0
unit: m/s
data
timestamps
timestamps_unit: seconds
interval: 1
" + "

Velocity (TimeSeries)

resolution: -1.0
comments: no comments
description: Velocity for the roll and pitch (x, y) measured in m/s.
conversion: 1.0
offset: 0.0
unit: m/s
data
timestamps (link to processing/behavior/AngularVelocity/timestamps)
timestamps_unit: seconds
interval: 1
" ], "text/plain": [ - "Velocity pynwb.base.TimeSeries at 0x13948091088\n", + "Velocity pynwb.base.TimeSeries at 0x6262171216\n", "Fields:\n", " comments: no comments\n", " conversion: 1.0\n", - " data: \n", + " data: \n", " description: Velocity for the roll and pitch (x, y) measured in m/s.\n", " interval: 1\n", " offset: 0.0\n", " resolution: -1.0\n", - " timestamps: \n", + " timestamps: AngularVelocity pynwb.base.TimeSeries at 0x6262887824\n", + "Fields:\n", + " comments: no comments\n", + " conversion: 1.0\n", + " data: \n", + " description: The angular velocity from yaw (rotational) velocity converted to radians/s.\n", + " interval: 1\n", + " offset: 0.0\n", + " resolution: -1.0\n", + " timestamp_link: (\n", + " Velocity \n", + " )\n", + " timestamps: \n", + " timestamps_unit: seconds\n", + " unit: radians/s\n", + "\n", " timestamps_unit: seconds\n", " unit: m/s" ] }, - "execution_count": 264, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2608,7 +2624,7 @@ }, { "cell_type": "code", - "execution_count": 285, + "execution_count": 30, "id": "8d610e53-a3e6-4e6d-afef-d03fb82ccec0", "metadata": { "jupyter": { @@ -2678,7 +2694,7 @@ }, { "cell_type": "code", - "execution_count": 295, + "execution_count": 31, "id": "bb4fadaa-caca-4eb2-b84b-2f13b23361fa", "metadata": {}, "outputs": [ @@ -2718,31 +2734,31 @@ " \n", " 0\n", " 10.21300\n", - " 11.04650\n", + " 11.08000\n", " Light\n", " \n", " \n", " 1\n", " 25.31550\n", - " 26.14900\n", + " 26.18225\n", " Light\n", " \n", " \n", " 2\n", " 36.25050\n", - " 37.55050\n", + " 37.58400\n", " Tone\n", " \n", " \n", " 3\n", " 69.78875\n", - " 70.62225\n", + " 70.65550\n", " Light\n", " \n", " \n", " 4\n", " 87.65825\n", - " 88.95850\n", + " 88.99175\n", " Tone\n", " \n", " \n", @@ -2754,31 +2770,31 @@ " \n", " 158\n", " 1312.37725\n", - " 1312.51050\n", + " 1312.54400\n", " Lick\n", " \n", " \n", " 159\n", " 1313.64425\n", - " 1313.71100\n", + " 1313.74425\n", " Lick\n", " \n", " \n", " 160\n", " 1318.24500\n", - " 1319.04500\n", + " 1319.07825\n", " Light\n", " \n", " \n", " 161\n", " 1325.11250\n", - " 1326.37950\n", + " 1326.41275\n", " Tone\n", " \n", " \n", " 162\n", " 1330.61350\n", - " 1331.44700\n", + " 1331.48025\n", " Light\n", " \n", " \n", @@ -2789,22 +2805,22 @@ "text/plain": [ " start_time stop_time event_type\n", "id \n", - "0 10.21300 11.04650 Light\n", - "1 25.31550 26.14900 Light\n", - "2 36.25050 37.55050 Tone\n", - "3 69.78875 70.62225 Light\n", - "4 87.65825 88.95850 Tone\n", + "0 10.21300 11.08000 Light\n", + "1 25.31550 26.18225 Light\n", + "2 36.25050 37.58400 Tone\n", + "3 69.78875 70.65550 Light\n", + "4 87.65825 88.99175 Tone\n", ".. ... ... ...\n", - "158 1312.37725 1312.51050 Lick\n", - "159 1313.64425 1313.71100 Lick\n", - "160 1318.24500 1319.04500 Light\n", - "161 1325.11250 1326.37950 Tone\n", - "162 1330.61350 1331.44700 Light\n", + "158 1312.37725 1312.54400 Lick\n", + "159 1313.64425 1313.74425 Lick\n", + "160 1318.24500 1319.07825 Light\n", + "161 1325.11250 1326.41275 Tone\n", + "162 1330.61350 1331.48025 Light\n", "\n", "[163 rows x 3 columns]" ] }, - "execution_count": 295, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -2816,7 +2832,7 @@ }, { "cell_type": "code", - "execution_count": 310, + "execution_count": 32, "id": "1512c91e-2ba8-49e1-a44b-62db6ab2078b", "metadata": { "jupyter": { @@ -2826,7 +2842,7 @@ "outputs": [ { "data": { - "image/png": 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dPB6P7zYKAACAkEYYCSBoudzh16a1O1RGNjcvsjMuHn6xJOnfW/8tR43Dp2sDAAAA4az0KOZFGgYmZWtMxuhG743P+A9FR0Qrv+qQdpTl+mKLAAAACAOEkQCClrM2/Nq0ljhK5Kp1BWQP/qiMlKSTjjlJxyQdo3JnuT7e8bFP1wYAAADCWUknwsjmxEbFalzG8ZKklflrfLImAAAAQh9hJICgVd+mNfTDyNTYVEVYvH9lF1YVBmQP/qqMjLBE6KJh3lati3MW+3RtAAAAIJz5OoyU6lu1MjcSAAAA7UUYCSBo1VdGhv7MyMiISKXFpUkK3NxIszLSx2GkJF0x6gpJ0rtb31WFs8Ln6wMAAADhqMT4HN6nYeR4SYSRAAAAaD/CSABBK5xmRkpSRry3Veth++GA3D+/Il9S/fxKXxrbe6yOSztOdpddS7cu9fn6AAAAQDgqdZZLklJifBdGnpI1VhZZtL0sV/n2Qz5bFwAAAKGLMBJA0HKGUZtWqX5uZIE9MJWRO4p3SJIGpg30+doWi0VXjPRWR76y8RWfrw8AAACEI3+0aU2JSdbotGGSqI4EAABA+xBGAgha1WHUplWqr0j0VZvW8upyVddUt/v8HUV1YWSq78NISbp81OWSpI92fBSw6k8AAAAglJQ4fd+mVWo4N3KNT9cFAABAaCKMBBC0aNN69A6UH1Dvx3pr6otTVeOuafP8WnetdpXskuSfykhJGtpjqE7sdaJq3DV6c/ObfrkHAAAAEE78URkpSROyxkiSfijc5NN1AQAAEJoIIwEErbBr0xrvuzatn+d+rgpnhb7Z940WrF/Q5vl55Xly1jpljbCqb1LfTt+/JZeP9FZH0qoVAAAA6Dx/zIyUpMy4dElScXWpT9cFAABAaAr5MLK8vFxz587VqFGjZLPZlJycrHHjxunRRx+V0+ns1NoHDx7UnDlzNGTIEMXFxSktLU2TJk3SggUL5PF4Wrxu+/btevTRRzVjxgz1799fMTExSkhI0ODBg3XNNddo3bp1ndoXEC6cbm8YGRMmYaTZptUHYeR3ed+Zr+/87E4VVxW3er7RojU7JVuREZGdvn9LLh5+sSRp1Z5VctZ27u9oAAAAINyV1IWFKdHJPl3XWM9oAwsAAAC0JirQG/Cn3bt3a8qUKcrNzZUkxcfHq7q6WmvXrtXatWu1aNEiLV++XKmpqR1ee926dZo2bZoKCwslSTabTeXl5Vq1apVWrVqlN998U0uXLlV0dONZdl999ZUmTpzY6L3ExERVV1fr559/1s8//6yFCxfqT3/6k+69996j+8CBMGHMjLSGyczIjATftWlde2CtJCkqIkqFVYW654t79PhZj7d4/o7iunmRfmrRauiX3E/RkdFy1jp1oPyA+qf09+v9AAAAgFBmtGlNjk706bpG21ej8hIAAABoTchWRtbU1GjGjBnKzc1Vr1699Mknn6iyslJ2u12LFy9WYmKivv/+e1111VUdXru0tFTnnnuuCgsLNXToUH333XcqLy9XZWWlnnzySVmtVn300Ue66aabmlzrcrkUGRmpCy64QG+88YYOHz6ssrIy2e12rVmzRhMnTpTb7dZf/vIXPffccz74lQBCl6s2PGdGFlR2rjKy1l2r9QfWS5IeO/MxSdKTa57UloItLV5jVEYOTPVvGGmxWNQ7sbckb2tYAAAAAEevfmakbysjk+vCyHJXRbtm0AMAACC8hWwY+eKLL2rjxo2SpCVLluj000+XJEVEROjSSy/VM888I0latmyZli9f3qG1H3nkEeXn5ysuLk7Lli3T2LFjJUnR0dG64YYbdM8990iSnn32WW3btq3Rtccdd5y2bNmit99+WxdddJHS071zFiIjIzVu3DgtX75co0ePliT99a9/PcqPHgh9bo9bNR7vF720ae2Ynw7/JLvLLlu0TdePu14zBs9QradWj33zWIvXmJWRfg4jJalPYh9J0v7y/X6/FwAAABDKSs0w0rczIxtWWpZRHQkAAIA2hHQYKUlTp07VhAkTmhy/7LLLNGDAAEnSSy+91KG1jfMbrtHQjTfeKJvNptraWi1atKjRsWOOOUaDBg1qce3o6GizWnPHjh0qLm59jhsQrowWrVJ4tmk15tLaXfYOr7N2v7dF64m9TlRkRKRuPfVWSdKijYtU4ihp9pquatMqqb4ysozKSAAAAOBoOWudstdUSZJSYnwbRkZHRis+Kk5SffUlAAAA0JKQDCPtdru++uorSdL06dObPcdiseiss86SJH388cftXnvr1q3as2dPq2vbbDZNmjSpw2sbYmNjzde1tbUdvh4IBy6303wdLm1ajcrIGneNSqtL9fGOj2V7wKY7lt/RoXWMMHJsL29V96l9T9WozFGqqqnSiz+82OR8j8fTZW1apfrKSNq0AgAAAEev4TzHJKtvZ0ZK9a1fmRsJAACAtkQFegP+sGXLFrndbknSyJEjWzzPOJafn6+ioiKlpaW1uXZOTk6T61ta+4MPPtDmzZvbu23TihUrJEm9evUy27h2xqFDh1RQ0LG2jtu3b+/0fQF/cjaojIwOk8rI2KhY2aJtqnBWqKCyQG9teUseefTXVX/VaQNO02nHntauddYeqAsje3vDSIvFouvHXa//9/7/09Nrn9bvT/q9LBaLeX5RVZFKq0slScemHuvjj6opozKSNq0AAADA0TNatCZabYqMiPT5+snRidpvz1eJs9TnawMAACC0hGQYuX9//Tew+/Tp0+J5DY/t37+/XWFkR9cuKytTRUWFbDZbm2tL0jfffKN33nlHkvTb3/62USBwtJ5++mlzjiUQKow2rdER0T75cxIsMuIzvGGkvUBr8taY7896d5Y2/r+NSolNafV6V61LP+T/IKk+jJSkK0ddqVs/uVXbCrfps12fNQo2jRatvRN7K84a57sPpgV9kqiMBAAAADqruC4k9PW8SIOxbkk1bVoBAADQupBs01peXt8iJD4+vsXzGh5reE2g1i4oKNDll18ut9utQYMG6dZbb23XdUA4MiojrZHhURVpMOZG7i3dqw0HN0jyhoT7yvbp9x/8vs3rNxVskqPGoeSY5EbzHxNjEvWr0b+SJD313VONrunKFq1SfZtWKiMBAACAo3fYUSRJ6hHb9oPXRyMlpq5Nq4swEgAAAK0LyTAyGFVUVOi8887T7t27lZiYqDfeeKPd1ZRAODJmRkZHhMe8SIMxN/KTnZ+o1lOrrIQsLblkiSIsEXp5w8v6ufDnVq835kWO6T1GEZbG/wRcO+ZaSdKyn5fJ7XGb7xuVkQ3DS38y2rTmleXJ4/F0yT0BAACAUOPvMDI52juHkspIAAAAtCUk27QmJtYPZrfb7S2e1/BYw2s6snZSUvPtTjqydmVlpc455xytXr1aNptNy5Yt0/HHH9+u/bTH9ddfr4svvrhD12zfvl0XXHCBz/YA+JpRGRkTGV5hZEa8tzJy2c/LJEnj+4zXycecrJGZI7Xh4AbtKtmlQemDWrzeCCPH9hrb5NiIjBGyyKLq2modqjyknraekhqEkV1UGWmEkZWuSpVVlyk5NrlL7gsAAACEEr9XRhptWp2EkQAAAGhdSIaRvXv3Nl/n5eVp9OjRzZ6Xl1c/j6zhNR1Zu6Uw0lg7KSmp1QpHI4j88ssvlZCQoPfff18TJ05s117aKzMzU5mZmT5dEwg0Y2akNSLM2rTWhZEHKg5Iksb1HidJ6mnrqQ0HNyi/Ir/V63MO5UiSTuh1QpNj1kireif2Vl55nnaX7K4PI7u4TWtCdIKSY5JVWl2q/eX7CSMBAACAo+D/MLKuTSthJOATdpddhyoPKTslO9BbAQDA50KyTeuwYcMUEeH90HJyclo8zzjWs2dPpaW175PzkSNHNrm+tbWHDx/e4jlGEPnFF18oPj5e77//vn7xi1+0ax9AuDPbtIZZZaTRptUwvs94STKDw7bCyAJ7gSSpl61Xs8f7p/SXJO0p3WO+t71ou6Sua9MqSX2SvHMj88rz2jgTAAAAQHOojASCy3+99l8a8MQAXbv0WpU4SgK9HQAAfCokw8j4+HideuqpkqQPP/yw2XM8Ho8++ugjSdKZZ57Z7rUHDx6sfv36tbp2ZWWlVq5c2eralZWVOvvss/XFF18oISFBy5Yt0+TJk9u9DyDcGW1awy2MzEjIaPTzcX3qKiMT2hdGHrYfbnYdQ79k799vu0t3S/I+mWlUYXZVZaQk9Un0hpH7y/d32T0BAACAUFJghpGpflmfmZGAb/148EdJ0oLvF2j4U8O1et/qAO8IAADfCckwUpKuvvpqSdLnn3+ub7/9tsnxN954Qzt37pQkzZw5s93rWiwW8/zFixcrNze3yTlPPfWUKioqFBkZqSuvvLLJcSOINFqzEkQCHVcd5jMjJW84mBbnfcq5PZWRNe4aFVcVS2paYWnon9y4MtKoikyLS1N6fHond99+xtzIvDIqI7ubQnuhNh3aFOhtAAAAoA1GZWRGrH8+j0+J8bZpLXGW+mV9IJy4PW4VVHo7GfVL7qcDFQf0p8/+dFRrfX/ge81fN1/zvpmnJ1Y/oaKqIl9uFQCAoxLSYeSoUaPk8Xh04YUXavny5ZIkt9utN954Q9dee60kafr06TrttNMaXTt37lxZLBZZLJZmw8ZbbrlFPXv2lN1u1znnnKN169ZJkpxOp/75z3/qrrvukiRdd911Gjx4cKNr7Xa7zj33XH355Zey2Wz64IMPaM0KHAWnOzxnRjYMEY0WrVL7wsiiqiJ55JEkM8Q8khFGGpWR2wq3SZIGpw9u9nx/MSojadPa/Zy3+DyN/tdo7S7ZHeitAAAAoBVd1aa11Fnul/WBcFJUVaRaT60kacGMBZKkA+UHOrSGx+PRvG/macyzY3Tde9fp5o9v1k0f3aTHVz/u6+0CANBhUYHegL9ERUVp6dKlmjp1qnJzc3X66acrPj5ebrdbDodDknTCCSdo0aJFHV47OTlZ7733nqZNm6bNmzdr7NixSkxMlMPhkMvlkuRtzzpv3rwm17755ptasWKFJKmmpkYXX3xxq/d66623dMopp3R4j0Coc9WG58zIhu1VOxpGGi1aU2NTFRXR/F//RptWozIyUGGkURlJm9buZ3vRdrk9bm0r3GbOGAUAAED34+8w0mzTysxIoNMOVR6S5H1wOMuWJUkdqmiscdfoDx/8QU+vfVqSNCV7ioqrivXjwR/pOAQA6BZCtjJSkrKzs7VhwwbdfffdGjlypCwWi6xWq8aMGaNHHnlEq1evVmrq0c1OGDNmjDZt2qTZs2dr0KBBcrlcSkhI0MSJEzV//nx98MEHiolpGpK43W7ztcPh0MGDB1v94XQ6j/rjB0JZtZs2reN6jzNfG2GkMd+xOUYY2VKLVklmuGRUvZlhZFoXV0YmURnZXVU4KyTV/34CAABA9+P2uFVYXTeiwW+VkUab1qZh5NaS7frrD/+Qs5bvaQDtcbDioCQpMyFTqXVzXosdxfJ4PO26/uGvHtbTa5+WRRY9euaj+mzmZ7rmhGskSeVULwMAuoGQrYw0JCYm6p577tE999zT7mvmzp2ruXPntnleVlaWHnvsMT322GPtXnvWrFmaNWtWu88H0DxnbXi2aU2KSdLwjOEqdZTqxF4nmu8bYWSJo0SOGodio2KbXNueMNKojCx2FKu8ujzwbVp5grNbcXvcsrvskqTCqsIA7wYAAAAtKakuldvjfRg6PeboHsJuS0qM0aa1TB6PRxaLRZK3VeSFn16nTcVblRnbQ9cMvdwv9wdCiVEZmZmQaY5VcdY6ZXfZlRCd0Ob17/38niTpkTMf0c0Tbpbk/f6BJJVVU70MAAi8kK6MBBC6wrVNq8Vi0brr1unnG39WnDXOfD8lNkXRkd5g1nii8khGGNmw1euRkmKSlBKbIsnbqjXQbVrzK/JV667t0nujZUYQKVEZCQAA0J0VOLwPjiVZE82vE3zNmBnp9rhV4ao03/9o3wptKt4qSfq+MMcv9wZCjRFGZiVkKd4ab/65bU+rVkeNQ2v3r5UknTfkPPP9xBhvK2UqIwEA3QFhJICg5Kxr0xodEV5hpCTFRsU2CiIlb0jZ1txIszIyruXKSEnqn+xt1fp9/vdm9dtxacd1as8dlWXLUoQlQrWeWvOLMgSe0aJVIowEAADozg47vC1aM+LS/XaP2MhYWSOskqQSZ6n5/iMb/mW+3lC0xW/3B0LJwcr6Nq0Wi6VRq9a2rD+wXs5apzITMjUwdaD5fmLdXNfyasJIAEDgEUYCCErVteE5M7I17Q4jW2nTKtW3av1056eSpGOSjmlXWxhfioqIUlZCliRpf/n+Lr03WlbprH/inTatAIBQlF+Rr+e/f15VrqpAbwXolMMObzVVj1j/tGiVvA9EGtWRpXWVV98fztHy/avMczYW/dTumXdAOGvYplWS2aq1PZWRX+35SpJ0at9TzXbJEm1aAQDdC2EkgKBkzoz0U8uhYNTL1ktS58NIozLSCCO7ukWroU9S3dzIcuZGdhdURgIAQt3dn9+ta5Zeo1c2vhLorQCdYoaRMWl+vY8RRpY4vWHHoxufkST9V/bZirREqsRZqn2VPFwItKVhm1ZJSo3zPkjQnjDy631fS5JO6XtKo/dp0woA6E4IIwEEJZe7bmZkGLZpbUlblZEF9gJJ7a+MNELAwWkBCiMT68LIMsLI7qKywSygQjuVkQCA0LOrZJckHoZC8KuvjPRvGJlshJHVpcqrPKDFO96VJN3xHzdqSLK3XeTGop/8ugcgFDRs0yq1vzLS4/E0qoxsiDatAIDuhDASQFCiTWtTvmrT2j+lf6OfB6oysndib0nSvrJ9Abk/mqIyEgAQ6ozKlFJHaRtnAt3b4equCSNTYuorI1fmr1Gtp1ZjeozWmIzRGp0+TBJhJNAeLbVpLa5qfWbkjuIdKrAXKCYyRif2OrHRMaMy0uV2qbqm2tdbBgCgQwgjAQQl2rQ2ZYaRlb5p02oIVBg5rIf3mxfr89cH5P5oipmRAIBQd7DCW5nCfC0Eu4K6z9X8HkY2mBm5qXirJOmE9JGSpFGpQyVJG4q2+HUPQCgw/v3JstW1aY1tX5tWoypybO+xiolq/LC2URkp8e8aACDwCCMBBCXatDbV3srIjISMVtcx2rQaAhVGTuw3UZL09d6vVeuuDcge0FjDyki7yy67yx7A3QAA4Ftuj9tsa19aTWUkgltXtWlNiU6WJJU4S7WpeJskaUSq9+uHUWneMHJjMZWRQGsqnZXmSIyOtmn9em/z8yIlKTIiUvHWeEnMjQQABB5hJICgZLRpjaZNq6m1MNJR4zCDpLYqI7NsWYquqziNiohSdkq2bzfaTqOyRikxOlFl1WXKOZQTkD2gsYZhpMTcSABAaCmqKpLb45ZEGIngZ7RpzYhN9+t9kusqr0qcZWZl5IjUIZKk0WnDJUk/lWyXs9bp130Awcx4ECY2KtasZjTbtDpab9P61d7m50UamBsJAOguCCMBBCUnMyObaBhGejyeRseM0CjSEqnkmORW14mwRKhvUl9J0rGpx8oaafXDbtsWFRGlCX0nSJJW7VkVkD2gMeNpXQOtWgEAocSY1yXRzg7B73BdgNFVbVoP2gu0vSxXUn1lZD9bHyVZE+Vyu7S1dIdf9wEEM6NFa2ZCpiwWi6T2tWktcZRoU8EmSTK/dj6SMTeSykgAQKARRgIISk533czICGZGGrISvLMlHDWOJt9Aazgv0vjipjX9U7xzIwPVotUwsa+3VavxtCcC68jKSOP3FQAAoaBhGFnqoDISwa2+TWuqX++TUveg47cF38vtcSslOlm94r1fl1gsFo1M81ZJbiyiVSvQEuPfH6NFq9S+Nq0/5v8oSeqf3L/RtQ0lxXgfGOAhGwBAoBFGAghKrro2P7RprRdnjTOrHg9UHGh0rGEY2R79k+vCyLQAh5F1cyOpjOweKp1HVEbSphUAEEKojESocLldKnV6fw/7uzLSaNO6rXSnJG9VZMOHH0enDZNEGAm0xvj3x3jAWGpfm1ajKnJU1qgWz6FNKwCguyCMBBCUqmnT2qyW5kYaMyjaG0b+buzvdPags3XNidf4doMdNL7PeEVFRGlv2V7tKd3T4nlf7v6SYKwLUBkJ+NcnOz7Rg6sebNJqG0DXaFQZycxIBDGjKjLCEqGU6NZHNHSW0abVYLRoNYxKGypJ2lC02a/7AILZwcr6Nq2G1Li227RuOuQNI0dkjGjxHNq0AgC6C8JIAEGJNq3NaymMNEKjjISMdq0zvs94vX/F+xqeMdy3G+yghOgEndjrREktV0f+e+u/NXnhZN300U1duLPwVOFqHEYyMxLwrf/54H90+/Lb9X3+94HeChCWGoaRFc4K1bprA7gb4OgZYWRaTIoiIyL9eq8jw84RqUMa/XxUKpWRQFtaa9NaVl0mV62r2etyCnIkSSMzR7a4Nm1aAQDdBWEkgKBEm9bmtRVG9ohrX2Vkd2LMjWwpjFy6damk+nkZ8B+jTavxhTGVkUD7tafa0ajwbhiIAOg6R/7Zo4oEwcoIIzNi0/1+r5SY1isjh6YcJ0naW7nf7G4DoLHm2rSmxKaYr0scJU2u8Xg87auMpE0rAKCbIIwEEJSMykjCyMbaDCPb2aa1O2lrbuRnuZ9JkvaX7++yPYUro02rMVOUMBJom8fj0Rkvn6HR/xqtbYXbWj3X+DNW6qA9JBAIRps8A38WEayMMNLf8yIlKblJm9bGlZE9YtMUHxUnSdpTkef3/QDBqLk2rVERUWZVY3NzIw9WHlRhVaEiLBEa2mNoi2ubYSQP2AAAAowwEkBQMmdGRhBGNhSKYeSp/U6VJOUcymnyRGhuSa52Fu+U5G0ZWl3D09b+VOnyVkZmp2RLok0ruocdRTv06NePyu6yB3orzdpfvl+f7vxUOYdydMpzp2j1vtXNnlfjrjH/bWNWHRAYR1ZG0tIOwaorw8iGMyPTYlKUFdd4LITFYlG2ra8kKbd8n9/3AwSj5tq0SvUdaZqbG2lURQ5MHag4a1yLa5szI6mMBAAEGGEkgKDkrPuGrTWSmZENDUgZIEn6PPdzOeta2UrBHUZmJmSqb1JfeeTR5oLNjY59vuvzRj+nOtK/qIxEd3T3irt1yye36LWc1wK9lWZtPLTRfF1YVahfvvjLZgNJow2yRAACBMqRYSQPBiBYdWUYabMmKMLi/dbSiNQhslgsTc7JTjxGkpRbsdfv+wGCkdmm1ZbV6P1Ww8iCuhatmS23aJUazIx08vklACCwCCMBBCWXm5mRzTlvyHnqZeulPaV79ML3L5jvB3MYKUnDM4ZLqn/60/B5LmFkVzLCkv4p3jDSmG8HBJLx535P6Z4A76R5OYdyJElnDzpbvxzwS1XVVOn5759vcp4R9ku0hgQCxfhmsC3aJokHAxC8CswwMtXv94qwRCjJ6q28OnJepCE70aiMJIwEjlTrrjW/Xj+yMjK17s9wcVWxPB6P/vndP7Vy90pJ9Z9jtjYvUmJmJACg+yCMBBCUaNPavDhrnG6beJsk6f6V95ttS0MljGxYGenxePTZLu+8yNioWEmEkf5GZSS6o+Iq7wydIyuaugujMvLkPifrwmEXSmr+6fZGYSTVWECXc9Q4zPBxUNogSTwYgOBlVkbG+L8yUqpv1XrkvEgDbVqBlhVWFcrtccsiS5Ov1xtWRn6992tdv+x6zXh1hsqry83KyJGZI1td32zTysxIAECAEUYCXeRA+QHVuGuO6toKZ4VctS4f7yi40aa1ZdeNuU69E3trb9lePf/98/J4PCqwF0iSMhIy2ri6ezKe9tx8uD6M/LnoZ+WV5yk6MlpnHHuGJMJIfzPDyLrKyEpXpRw1jkBuCTBnyR6yd88w0nhqfVTWKKXEpkhSk/m3EmEkEGgFld7PlawRVvVL7ieJykgEr65s0ypJxyZ5/8yclHlCs8dp0wq07GDFQUlSeny6oiKiGh1rGEauyVsjyft54nPfP0dlJAAg6BBGAl3gi9wv1Pux3vrT8j91+Nqy6jL1f7y/TnvpND/sLHiZbVqpjGwiNipWt0+8XZL0wKoHtL98vzk/MpQqI42qyFP6nqKBqQMlSXnlee1a7/sD3+vGZTcqtyTXtxsNYW6PW3aXXZLUO7G3Ii2RkmjVisArdngrI41v5HQnte5a8++tkZkjzTDS2HNDla76mZFUYwFdz6iuzkzIVHJssiQeDEDw6uow8v+m/kOfnfO6xmX8R7PH69u0UhkJHKnhvz9HMtu0Ooq17sA68/37V96vsuoyRUVEaUiP5iuSDebMSB6wAQAEGGEk0AWMuXZLtizp8LW7inc1egoO3lDE5fZWisYwM7JZvz3xtzom6RjtK9uncfPHSZLiouIUb40P8M6OzrCMYZKkfWX7zC+ijDDyl9m/VJ+kPpLaXxn54FcP6snvntSpz5/aZA4lmlflqpJHHknep2vT49Ml0aoVgVXrrjX/TuiObVq3F22Xo8ahuKg4HZt6LJWRQDfWKIyM8YaRfOMWwaqw2vvQS3oXzIyUpF7xWZra+9QWjw9I9FZO7rfnm+M2AHgZ//5kJWQ1OdawMnL9gfXm+8bXYIPSBim6jW5RtGkFAHQXhJFAF9hVskuStKN4R4e/WWp8c7K6ttqc/xfujCo/SYomjGxWbFSs3r70bfVN6qsDFQckBW9VpCSlxKaod2JvSdKWgi2qddeaYeTUAVPNY+0NI/Mr8s3zJ70wSd/s/cYPuw4tDau24qxx5u+nwioqIxE4DUO9owkjHTUOvfzjy36rqjTbZ2WOUIQlwny6vc0wkspIwG/cHrceWPmAVu1Z1ej9hmGkUUXCn0UEq8K6Cvz0mK4JI9uSHpOqhCjvQ5G7qY4EGjlY6f08tLnKSCOM3Fu2Vz8d/kmSdN2J15nHR2S23qJVok0rAKD7IIwEusDO4p3m69X7Vnfo2kZt26iUkCQ53fWhrDWCmZEtGdt7rNb/93pNGzhNknRs6rEB3lHnNGzVunrfahVWFSolNkUn9TnJDCPb26bVaC2alZClYkexLnnzEnk8Hv9sPEQYQUmCNUERlggzjPRFZWTDBwyAjmgY6hU7ijv8e+nVja9q5jszdfvy2328M6+NhzZKkkZljpKkRpWRbo+70bkNw0iqsQD/WZG7Qn/67E+66q2rGv3b3/CbwUZlJJ97Ixg5ahyqrPG21u+qNq1tsVgs9a1aK9oXRpbw5w8hylXravTzVtu0xnkfKPhm7zfyyKPeib1179R7zQ5RIzNGtnk/4wGbqpoq1bhrOrV3AAA6gzAS6AK7ineZrztagUWlRFOuRpWRhJGt6RHfQ8uuXKZ3L3tXL17wYqC30ynDe3jDyE0Fm/Tvbf+WJE0/brqskVb1SexYm1YjQHv94tcledu/NjfDDfWMv4ts0TZJUnqct01rZ2dG/t+G/5PtAZve2PRG5zaIsHTkn9uOhuNG54If8n/w1ZYaMSojjwwj3R53o3/fJanSycNHQFfYU7pHkrS7dLe2F203329uZiQPBiAYGS1aIy2RSo5OCvBu6mXbjpEk5ZbvbfPc9/d8qtSXhuuRDf/y97aALrV853IlPZikf62t/73dnjatRnvjMb3GKMuWpZsn3KxIS6TOHXxum/c02rRKVEcCAAKLMBI4Ct/s/UYbDm5o17mOGkejgGR1XscqI5kh1ZTxibg1wqoIC3+NtSXCEqHzhpyn/in9A72VTmlYGWmEkcYXX70Se0ny/nlp6wssj8djthYdkDLAfALV+OYkmmcEJQnRCZLks8rID7d/KJfbpbd+eqtzG0RYKq5qHEZ2tN2q8ft3a+HWJpWKkrTs52W6cdmNR129a1RGjsz0PrUeZ40zn2Q/slXrkQ8fUa0N+EfDvyc+3fmp+brZNq187o0gZLRoTYtJkcViCfBu6tVXRrYdRn5X8KMkaW3df4FQsWrPKjlqHPpk5yfme+1p02o4sdeJkqT7f3m/7H+ya0zvMW3eMzoy2nyIm7mRAIBA4rv4QAeVVZdpyotTNPXFqap117Z5/u6S3fKo/huKa/LWdKg1RqNKCSojJdW3aaVFa3gxwshVe1Zpc8FmRVoiNf246ZK81XrGNw7batVa7iw3/wymx6erb5L3GyN7S9v+xkg4O7Iy0ldhpFGZtnb/2k6tg/B0ZKDX0bmRxu9fu8uuvLKmf3fc+dmdevK7J/X5rs87vLcqV5VZdTUqa5T5vlEdeWSQ2jCMdLldctQ4OnxPAG0z5kZLavTN4EaVkTFURiJ4GZWR6bHdY16kwQwj2zEzstTp/bNX7qpo40wguBifux4oP2C+Z1ZG2ppWRqYe8efYCCMtFkuHukQxNxIA0B0QRgIdlF+RL2etU0VVRe1qCWl8o314xnAlxyTL7rJr48GN7b4flZFNGW1ao+uqSxAejDDSeJpzYr+J5gwNSe1u1Wq0FY2NilW8NV79kvtJojKyLcb82gSrtzLSbNNa1bk2rUYb6+1F25sES5JUXVPd7PvovvaW7tXfv/17i9WEO4t3akfRDp/c68g2rUcbRkrST4d/anK8qKpIUv0T6x2x5fAWuT1u9Yjv0ajtVsO5kQ0d2baVf/MB/8ivrA8jP9v1mflwYbOVka08CFjprNTLP77c5MECINCMysgeMd1jXqShI21aS+s+369w2f26J6CrlVSXSGr8YExrMyOPrIwc06vtSsjmGP+u8ZANACCQCCOBDmr4TYmdxTvbPN/4RvtxacfppGNOkiR9s6/9cyONAODIe4ez6rrKyBjCyLCSHp/e6Bv6MwbPaHS8d2JvSe0II+vCMyNMMysjy6iMbI0/KiOrXFU6UFH/VPD6A+ubnDN54WRlP55NIBlE7vz8Tv3hwz/oH9/+o8mxUkepxj47Vic8c0KHg8PmHBkCtLZmpbNS/7fh/xpd01YYaXzDpuF5O4p2aOEPC9vsjmA8eDQyc2SjNnnGQxRH/p5u+O+9xL/5gL80bNNaWl2qdQfWSer4zMjHVz+ume/M1ENfPeTH3QIdd9jhfZCm21ZGVrRdGVnm8oaRVEYi1Bif3x2oOCCPxyOPx2P+u9RcGBlvjTcrIDMTMs2veTvKmBtJm1YAQCARRgId1PCbEu0JI41zBqQM0IRjJkiSVu9r/9xIKiObctbNjIyOIIwMN0Z1pCTNGNJ8GNlcq8WGjFDBCNOojGwf4+8iY2Zk32TvN5R+Lvr5qNfcXbq70c+PbNXqrHVqTd4alVaXakvBlqO+D7rW5oLNkhq3PzS8/dPbKnYUq9xZrufWP9fpex1ZGdlaBeNT3z2lX739q0bBQcOQcWvh1kbnezyeZsPI2R/N1q/f/bXmrZ7X6t5+yP9BkjQyY2Sj9802rY6W27RK/JvvL7Xu2na12UfoMqpRjM8DPt35qTweT4dnRn619ytJ0rbCbf7cLtBhZpvWmO4VRg6oCyMP2A+22YrcqIwkjESoMR5Gc9Q4VFZdpkpXpapqqiSp0YO3BovFYrZqHdNrzFHPgaVNKwCgOyCMBJrx92//rrMXna1NhzY1OdbwmxLtqoysa9N6bOqxOvmYkyV1sDKSmZFNGGGktQMzEhAajDBycPpgDU4f3OhYR9u0psfXVUYmUxnZHsbfRUZlpDGvZGfxTvPXVPK2tayuqW50bW5JbrNt7IzKccORYeSB8gPmzN22ZoGi+zD+v67as0quWlejY4s2LjJf/2vdvzodChnf0Im3xktqvTJyw8ENkmTOcfR4PK1WRlbVVKnW491fw/OMf/sf+foRVbmqWrzfp7s+leRtKd1Qe9u00kbLP85ffL76PNan0d9bCC/GQwuXjrhUkvfBidLqUrnc3r+vGs6MdNY6mw1NPB6PWVHJv0/obow2rd2tMjItJlW2unb/eypa/3NDm1aEqoaf/x2oOGB+7hpvjTcf+jyS0arV+PrraFAZCQDoDggjgWa8t+09ffD/2TvvMDeq8/ufUVlJ23v3FvfebVyxjWmm9xIIEEIJBPIlgSSUhADJj4SEEiBACC307piOMWCKDW64G/fu7b1Jq1WZ3x+z79Wd0ajtapv2fp6Hh7VmNJrVztyZuec95933Cb469JXfMlVMa2P4YmRpaimOK1BiWvfV70NNW01Y+9LqEs5ILR1epQ+ZiGkdfJw16iwAwA3Tb/BbxmJaW7sY09okxMhgMGdk5yRSqjUVI9JHAACbkN1btxdDHhmCy5Zext5X1lyGkY+PxNDHhuK1ba9BlmW2jMZHEmdoO8Sx5mOq7Qj6Py3OFnaOtbnasL58PVtW0VKBLw9+CUDpW3Ok6Qg+3PNhWNsNJFqSu5CKE4KJkSRCUjRws7OZiQ+AvzOSFwN5MbLGrly/q9qq8MzGZ3Q/q7ylHNurt0OChBOHnqhaRtXtIXtGigKkqFPZWomP9n6EqrYqfHP4m77eHUEfQH3fAeDyiZcDAFYfWY1bl98KQBmbrCYrm7QFlLGg3lGPJ9Y9wQpzylrK2Hgjrk+C/kZ/dUZKkoSSxPCiWps6lGuwcEYKYg1+TqeytTJoRCtBST5zhszp8ueKnpECgUAg6A8IMVIg0GF+0XwAwLdHvvVbFqkzksW0ppUizZbGJu+3V28Pa1+EM9IfEdM6eDl52Mmw32nH/x33f37Lwu4ZaVeLkfRwd6z5mIju07DqyCos3bkUgK+fHTkjAWBGwQwAwPoyRXB6d+e7sLvs+GjvR3B73QCA745+B5fXhcb2Rly29DJc8u4lzE12qPEQAJ/IfKDhAJskBjRipHCeDAhIYCZWHlzJfn5j+xvwyl7MLpzNCgr+tf5fIbe5p24P0h5Iw/994n/ek+N2VMYoAOGJkRTRSAKjUTICUI43XhDkJ2tIYPXKXpUw+cDqB3RdUyv2KxG10/OnMxc2wWJaHfoxrQZJuT0XBUjRhz8eN1Vu6sM9EfQVNEaYDWYcV3AcilKK4PK68Pzm5wEo5yygnIcUadfU3oT7vr4PN31yE+77+j4AwA/lvuKZytZKcf8g6FdQz8hMa3of74k/JUmFAIBNtcGfhckZ2ea2wyt7e3y/BILeQuWMbPE5I/UiWomnTn8Kr533GpYMX9Llzw0U07pi/wo8uuZRVcGoQCAQCAQ9hRAjBQId5hf7xEjtTZnKGRlCjGxsb2Q3m6WppQCAvKQ8AMEnTHlEz0h/REzr4MZmtun2yihIVmJaQzkUmDOyUyDITcyFyWCCR/YwkUKgPByf9PJJuOCtC3C48TAbi3gxcnqeMmm7oUKJV/38gBJL2e5ux946pZfklqotAIBhacNglIx4a8dbeGL9EwB8wtWU3CkYljYMALCxYiPbvhAjBx4kMBMrD/nEn9e2vwYAuGzCZfjF9F9AgoTPD3yOFftX4FjzMb9IV+LVra+ipaMFH+39yG8ZOSNDiZENjgZ27le2VqoiWguTC5EVnwVA3ftNzxlZ76hnk6IFSQUobynHC5te8Pu8zw58BkApoNDCYlqdjarXSfDPTcwFIAqQeoIvDn7BfubHGsHgga7zOYk5kCQJf1rwJ0zLm4Ybpt+AZRcvw4eX+tzaKVYlqrXZ2cxc3u/tfg+A2snvkT1B+9UKBL0Nc0b2s5hWADilcCEA4C+bH8XBZqVfe217PZ7d9RoauOtiExcl2SaiWgUxgizLKjGysrWSXT+COSNL00px6YRLu9wvEuDESE1M69XvX41blt+CbdXburxtgUAgEAjCRYiRAoEOxxUcB7PBjPKWcj+XBy8IVrdV+8WqybKM8pZyyLLM+mZlJ2Sz/H+6yaSYt1AIMdIfV2dMq3BGCnh4Z2Swyk4SFTLjMwEARoOR9Zs80nSkh/dy4ECOLxkydtbuZEIJxbQCamekw+XAqiOr2DJyHW2u3AwAuGXWLfjbiX8DABaBTWNkaWoppuVPA6DuGyliWgce9DcdkzkGgOKMdbqd2FO3BxvKN8AoGXHRuItQklqCM0aeAQA4+ZWTMeSRISj+Z7FuQcDy/csBKH1dte4ImtAZlamIkVVtVbrn//6G/exnu8uOlo4W1VhA7+f7RuqJkSR2plnTcPu82wEAj697XPVZXtnLnJF6YmSomFYay8Q1P/pQTDAgxMjBChMjOx0oV0+5Ghuu24AnT38SZ48+Gzazja1LkXaN7Y3YVqVM0u6u24399fv9YsXFNUrQn2A9I/tZTCsA3DDmCszLmYlWVxuu+vrX2FCzBVOXnoJrv/0tHtmmRJ93eDrQ7vGlDrS62wJtTiAYULR2tKruZfmekcHEyGigF9Pq8rjY8xZfkCcQCAQCQU8hxEiBQAeb2cZimr49rI5q1Wbs08QrsXTnUhQ8XIA7v7jTF9Ha6YoEwNwX4TojSQAAhEuCcHY6I0XPSAEPuYlcXhdq7bXo8HTorqftGQkAQ1I6+0Y2i76RgOKKfPqHp9m/DzQc0HVGTsmdAoNkQFlLGd7a8RY7NwGfCEnOyMm5k7GwZCEAYPXR1fDKXl9P3bRSn8uSFyNbhDNyoEF/09NGnIbshGw43A6sObYGd6+8G4AizmUlKNfBexfei8m5k5GdkA2jZERFawX+8s1fVNurs9cxR1KHp4P11SEo6pR6RnZ4OnR74VBEK1HZWqkSI0dnjAYA7K719Y1UxbTa6+CVvazfc1ZCFk4fcTr7nXkBdHPlZtTYa5AYl4jZhbP99iVUTCsVR4hrfnQ52HAQBxsPwmQwwSAZUNFagYqWir7eLUEvQ2MI3TMEI8WiOCO3Vm1VOUk+2vsRi2mle9HBdo2SZRmXvHMJFv53IYtlF/Qf6jodhv3RGWk0GPHiwn8iwRSPbyrXYOay03G0TWmxcKRVOY+aNX0iWzpE30hBbKAtNKtsrQwrpjUaUC9k/nrGu/q181pERUtFwPQSgUAgEAgiRYiRAkEAAvWN1N5AaqNaKUbuwe8fxIoDijNiaNpQtpwq3roS06p1UQxWWM9IIUYKOOKMcez8ynsoD5a/WHDr8lv91mM9I7k+btQ3UjgjFf626m+qPnj76/ezsYhc3vTz2KyxABQnJeBzTm6u3Ix6Rz2rtp2YMxGTciYh3hyPxvZGrD22lvWHLE0tZQUgvNtE64wUvUz6PyRGDk0bysTnn/7vp3hzx5swGUz43dzfsXWn5E3Bpus3oeq2Kqz4qXK9fPqHp7G/3udi/PzA56oKcv4c5aOu8pPyWfyU3vU1lBjJnJF1+s5Ij+xBU3uTqnqd3NXt7nbYuQi5z/YrEa0nlJ4As9Hsty8spjWAM5KJkcIZGVXIFXlcwXEYnamIz6Jv5OBD64wMBsW0ap8Fnt34LKraqmCQDGycG2zOyI0VG/Hmjjfx9eGvA05gC/oGt9eNxs7rR3/sGQkAQ5OL8cjsewAAMmTk2JQiJYqXbepQFxW1uIQzUhAbaO/9KlorwoppjQZ6PSPLW8rZz9pEMEBxSxY+UoifLP1Jj+6bQCAQCAYPQowUCALA943kIaeCQVJOH60YSbFfbq+bOYv0nJHhxrS2dXDOSDExCYDrGWkQPSMFauYMmQNAEQ4A4O0f3/ZbR9cZmdzpjGwSzsjylnI2dp0z+hwAwIHGA2ws4p2RAJiIuLN2JwDg2qnXAlDEyC2ViiuyNLUUyZZkmI1mzCqcBQB4ZesrAJS/Q5IlCVPzpgJQeg6SYMyLkQ63QxRkDACoZ2RpaikWlSwC4HMc//fs/7KJey2LShfhlGGnwO11448r/8hep4hWghcjWzpa2LmeZk0LWuyjFSMrWirUzsjM4M5IQIlqpWt3dkI2EuMSmSuKv6aTGHnyUP+IVgBIsylOFep3CSiOTnIXUUyrnsNT0HWoX+QJpSdgSu4UACKqdTBCk77hOCMp0o4iyGfkK9Hk1FdrbNZYDE8fDmDwOSNf2vIS+1k8n/QvGpxNkKEUb6VbUvt2Z4Jwzaif4KHj7sZjs/+Mf81RUhEoXrZJ09NOxLQKYgXts4zKGZnY+87IUGLkpopN8MpelngjEAgEAkF3EWKkQBCAuUPmQoKEPXV7VLFw9MBNE5e8GOl0O7GjZofftkrTfGJkd5yRIrJNoYN6RgpnpEDD2xe+jV2/3IWtv9gKQBFBeMcSEMIZ2TzwnJFur9sv7rE7vLzlZTg9TswZMocJiypnJNczEvBNzhK3zLoFBsmAGnsNPtn3CQBgUu4ktnzukLkAgDd3vAnANz6mWFNY4ca26m1we90sQtEoGQEMvsnegQbfK7k0rRSLSxezZY8veRyXTbws6Pv/uvivAIDXt7+OTRWbIMsyEyPzEvMAAIebDrP1aUInzhgHq8nKrq985BRBYmScUSli8XNGZijOyD11e5gTUysG1jnq2LU7Kz4LkiQxdyRty+6yM+HilOGn6P6ees5I/lovekZGH1mWmTNyceliVvwgxMjBBzkjI4lppWKDi8ZdpCownJY3jTmZB9P1qcPTgde2v8b+3Z+fT/bV71MlPQwGyF2YEpcMk8HUx3sTGEmS8JuJ1+Pm8Vcjq7NAsL4zXtbPGSliWgUxAo2XNpPSn5gXI/uiZ6RKjNRxudO+iYJQgUAgEEQLIUYKBAFIs6VhfPZ4AL6KaMB3A0lV9QcafWLk9urtcHvdSLel4+rJV7PX+ZhW6pVFfaeC4ZW9KiHF6XHC6XYGecfgoEP0jBQEwGQwYVTmKIzPHs8m/PnIx3Z3O+vDSiICMLCdkee/dT7yHsqL2r6T8+yEkhMwLG0YgMA9IwG1GDkpZxKKU4tZscbLW19mrxPziuYB8DlU+YndiTkTASj9uapaq+CRPTBKRhahOdhi8AYa9Y56Vm1dnFKMERkj8MyZz+DV817FTTNvCvn+KXlTcOn4SwEAly29DMv3L0d5SzlsJhsuHncxALUzkkT4NGsaJEkKyxk5s2AmgE4x0uETI0vTSmE2mOFwO9i5pOeM1E4Yaa/pBxsOwuV1Ic2axs4fLTQ2tXa0MjcknV9xxjg2NvXnCf6Bxo81P6KqrQo2kw2zCmcJMXIQw2Jaw3Cg0MQtMSlnEusVC3SKkcmdYuQguj59uu9TVoAB9F8X97aqbRjx+AjMfm62Kmkm1iF3YYal//WLDATtqy+mVeuMtPu9RyAYiJCoR73Oa+217PrRH2Ja+dYIgFqMFO0yBAKBQBANhBgpEARBr28kORWYGMk5I6n30NS8qbhv0X2IN8fDKBnZxDwQmTPS4XKwmB3t5w9mOrwiplUQHEmSMCJ9BABgb/1e9jq5Io2SkTkeAGBIiiJGDsSekT+U/wCnx4nvjn4Xle2RqywnMQclqSWQIKHN1caiNvmekYAiIJoNSl+8k4aeBACYnDsZgG/Sl/4NALMKZ7GYayCwGEkRrflJ+cy5OpicJwMRinfKTcyFzaxUfF8z9Rr8ZEL4fWb+duLfUJBUgJ21O3HGa2cAABaWLGSTNrwzkmJOKfY00PW1xdnCjut5QxQxvKK1ggmImfGZMBlM7DijzwgW00qR61pnJB8BKUmS7u9IYiTgm5TixX7qUyeu99HB6Xbi7q/uBqAUQ1hMFjYmHW46zK4LgsFBJDGt/H0CoFyjzhh5Bvv3tHyfM5Kf0I11+IhWoP+OVVuqlKj4zZWbcfX7Vw+aiXQS9Pprv0g9MqzKdbze2Qiv7EWzRoxscQlnpCA2oPu+oWlDmXOZxtBwehl3h1AxrR2eDpZKQ9A9tdvrVhXJe7yeQTOmCgQCgSC6CDFSIAgC9Y3knZE0OTklTxEjDzb4Ksiown5K7hQUJBfg2599i+WXL2eRa4BvArOhvQEujyvo55ODC/BFIwqnBODyiJhWQWhIvNhTt4e9Rm68dFu6SiggEaLGXgOHy9GLe9l96IFyd93uEGuGB03UZidkw2KyoDC5EIDygAr4OyMtJgvmFinRq2eNOgsAMDlnsmod3hmZbElmoiOgjrHWEyMLkwt9MXiDyHkyEOH7RXaVopQirLp6FUakj2D9IE8dfqovSjmAMxLwTeJoxcj9DYo7Ois+i7ls+ZhWui6Ty5HEqbCckZo+0BTrHsx1ZTKY2HmkK0Z2CiDiet99WpwtOOP1M7B051KYDWbcOvtWAIogTM5V0QdpcMGckWFM+lJhAKCc6zmJOVhQsgCFyYXITczF5NzJPmfkICmWqXfU44M9HwAAxmSOAdB/xyq+zcZbO97C31f/vQ/3pveoba8H4BP4BgLU29Ire9HU0eznjBQxrYJYge770m3pqqIYg2RAuq1nCwhCOSMB/76R1XbfPTUVATY4GjDkkSG4YtkVPbWrAoFAIIhhhBgpEASBJtBpItPlcbGKsPHZ42GUjHB6nKyCjHdG0v8XD12s2ma6LZ25gviIIz34Hm3kpOiv1ce9iaMzqsfa2WtBINCDOSPr/J2RfL9IQBEz4s3xAMBEsIGALMtsnNhVuysq2ySxhSZqh6Wroya1YiQAvHreq/jmqm9YAQfvhEy2JKMktUS1PvWNBPSdkdurtzN3mkqMHCSTvQMVvl9kdyhJLcG3P/sW0/OnIzEuEeeOPldXjKQJHbo+BnJGUkTr8PThbOJH2zMSADI6e1ZR0QKJkVQMVGuvZW5K+qxAzshQQoe2byRFCCbGJbJoSHG97z4Xvn0hPj/wORLMCfjoJx+p+niKqNbBh8PlYOd1OM5IPqaVrk9WkxUbr9uILb/YgnhzPLs+NTubVb1fY5X/7fwfOjwdmJQzicWu68W0erwevPvju316T0XXAroHueOLOwbF+e6LaU3t2x2JAIvRggSTch9e72z06xkpYloFsQLd26VaU1XXocz4TBgNxh79bLqmtXS0sGJ6EiPJpantG8kXddA965aqLahorcBn+z/r0f0VCAQCQWwixEiBIAjkbGhsb4TT7VQ9bKdZ01CcWgxAiWp1e93YUqnEAVGEqx5Gg5FNeJKTIhA0OZkQl+CLbeun1ce9SWNn/FBq3MCp+BX0PiMydGJaO0UGOgcJSZKY2EFxpAMBu8vOHiaj5ozUOLuGpg5VLSdhhic/KZ8JkQAwKdfnhJyYM9EvrpImMAG1cDUsbRhsJhscbge+OfwNgE4xcpA5TwYqVE3dHWckkZOYg7XXrEXVbVUYkjKEXW/rHfVswj9QTCsJgoSeGFnWUoZ6h+IeIUFRKyzSNZ/6PvPOSHJRMmdkp0hJrqtQQge5OcndyRcf0fW+3d3OHMmCyOnwdGD5/uUAgM9++hlOGnaSajmJkT9U/NDr+yboG2hssBgtfv0g9eBjWnlHf1ZCFhtvkixJzG0SK+79tcfW4vcrfo/Zz83GkEeG4Puj37NlNJ4uLFnoc3HrFE6sOLACF7x9AX7x4S96Z6d1IEfPdVOvw5LhSyBDxor9K/psf3oLimkdSM5IwLe/de0NaHKJmFZBbEKCXoolBXmJeez1no5oBXwxrYBvnqmiVSmqp3siP2ckV+BH+073z2JeSiAQCARdQYiRAkEQ0qxprEqsxl7DHrbjzfEwG80s4utAwwHsrt0Nh9uBxLhEJoIEIty+kbqxbcIpgeaORgBA8gCq+BX0ProxrZ3OSBIdeIYkK30jjzYNHDGSL5DYXbu727072t3tbIyhcUrrjCQHaTCyE7JZPDUf0UrMK5oHg2SA1WRlIjCgFGuMzx4PAPj8wOcAREzrQIImMLRO2K5ikAzseEu2JLPrILkjtTGt4TgjaeKn1l7LejJTLFYoMbKqrYpNwPg5Ix3dc0by13teJNFzHAnCg44Dk8GEWYWz/JaPyxoHwHd8CGIfKrYJ1tOVR88ZqUcsFcxUtVZh/gvz8ffv/o41x9bgWPMxvLf7PbacL+qiwgm9cYockevK1vXCXuvDkh4Sc1gRFPWRjGXIGZlpGTg9IwEgw9IpRjobWEyrSVKew1u51iUCwUCGT/XgC9fovrInsZlsMEqK+7LJ2QSn28nueSm1Jhwxkp6nnR4n2t3tPb3bAoFAIIgxhBgpEARBkiSf06K1ilV/0YQoxUC+vv11Vlk/OXcyi2ENBDkqyEkRCJUYKZyRjKbOit8U4YwUBIHOz6q2KjZRRg9cWmck4BNQ+B6x/Z0WrqdOm6ut2xOhNCaZDWYm8JAQA3Q+xIYZIUQPtXOGzPFbVphciHcufAdLL1oKq8mqWkYTvtQzVzgjBw7R6BkZDHJHkhhJkyKsZ2Snm5ePlAJ87ujh6cORGZ+pukanWlNhNpoBBI5ppXNgd+1uyJAhQWLraq/n4fSMpM/lfwf+em8ymESf6CjAXKzxWbr3ZXrRv4LYJlznMsH3jAwqRsZQwcyXB7+Ey+tCcUoxzhh5BgDfxDPgc8Sk29KDRkpTT7Iae43fmNxb8D1+KT5+MPSIHYg9IwFf38i69gYW05rfWdjTIsRIQYwQKKa1N8RISZLY8+6euj3smhhnjPM5I7mYVofLoXrWpCJAug4A4j5VIBAIBJEjxEiBIATkbuAFDZqcuGHGDbCarFi+fznu+vIuAMEjWolwnZE0GZ9gThDOSA7hjBSEQ4o1hZ1r5HxhFf3x/mLkTyf+FADwwuYXVG7KYNy98m4c9+xxfdYniib7iN213YtqJVdXdkI2c42QAxzQ7xcZiMeWPIY3zn8Dl4y/RHf5uWPOxZIRS/xe10748s7I6rZqEVvZT5Fl2SdGdrNnZCBIPDrcqPQTpZhWEvaKU4ohQUJDewObYAHUzkijwahyLfIu6VDOSOofnRGfwUT5rvaMpGhZ+h3oek/nGCtAEtf8LhNKGKbjqcZeA4fL0Wv7Jeg7aFwIVSxA0NhikAwYkzkm4HqxVDDz5cEvAQAXjL0AS4Yr12i6dwJ8k9AZ8Rm+ZxOdyWj+vmhb9bYe299g6ImRu+t2x/z5zmJaLQNLjGQxrc4GNHceP4UJSpqBiGkVxAq8M7K3Y1oB33PW1qqtrF9kflI+u9flnZHalkLamFb+NYFAIBAIwkWIkQJBCGjCorqtmk0K0sP3+OzxeOSURwD44oioqiwY2fGKQBKqZ6RuTKuoPkNjh+gZKQgPckfurVOcUYF6RgLA/OL5OGPkGfDIHlZcEAxZlvH4usexrmxdRDFk1W3VsLvsYa8fDL5aFQB21e7q1vb0Ju95Z2RCnH+/yEDkJubi4vEXh3SKa9ETIzPjMxFnjAMAVLRURLQ9Qe9Q2VqJdnc7DJKBRR5Hm6JktZNN2zMyIS4BozNHAwB+KFfSClqcLWyyZXj6cABqV5SeGEkuIK0YSf1Z+ep11jPSHlnPyNTOYho9ZyQAcc2PArwQoUeqNZV933q9gg80HMAzPzwDl8fVczsp6FWoWCA3ITxn5LC0Ybh68tW4b+F9sJltAdeLJWfkykMrAQAnlJ7g5xbnf063pQeNaeXvT7ZV9b4YKcuyagzIS8xDZnwmvLIX26u39/r+9CYU0zrQnJEkntY7G5kzksRIEdMqiBVYz0hrSq87I4HAYiSlmhxrPsbue7SudhbTyl0TRNGcQCAQCCJFiJECQQiYM5KLaeV7yFw/7XpcMPYC9u9wnJEU60YPycv3LceNH93oV6lLjcUT4hKES4Kj2dkIQDgjBaGh/q3kdCSRQc8ZCQB/XfxXSJDwzo/vhBQY6xx1fr0zQlHTVoPSR0ux+KXFYa0fCj9nZF33nJF6k/fptnQmjETijOwqE7InsJ8lSMhLzIMkSawHZSw4T2IRKsjJT8pnsafRhmJaDzd1OiM1PSMBYFr+NABg0elry9Yq700pZr0hA4mRNC7U2mvhdDvh9DgB+MfOkgDJv7/B0QCXx6XqURaMQDGtFM8aLP6wp1l1ZBXu//Z+eLyeXvm8x9Y+hrNePyvqfYdCuVQlSQoa1fqb5b/BdR9ehw/3fBjV/RL0HZE6IyVJwnNnP4e7jg9eoMTEyAF+fTrSdAT7G/bDKBkxv2g+GxO7E9MK9I4zUpZlLNu1jBUstXS0sDElKz4LkiQNmqhW5owcYGKkOqZVOX4K4pXrtYhpFcQKNJ+kjWkN97rUXQKJkbmJubCarPDKXnZPpE3xEs5IgUAgEEQDIUYKBCFgPSPbqnzOSK6HjCRJeObMZzAxZyIm5kzE2KyxYW+TnBS3fnYrntrwFD7d96lqPeGM9MfldcHuVh5IRc9IQShGpo8E4OsZR5WcvADBMz57PK6cfCUA4PbPbw+6bT7Kla8QDcbGio2wu+zYUb0jrPVDEXVnpM7kvSRJzBlGQklPkhGfwYTH3MRcJmzFkvMkFgk3nrQ7aIUjPuqKmJanFiO/PfwtAGBe0Ty2Dh+LpeuMdNSpzi3qr0PwYj1N1suQsb9hP9xet986emhjWv2ckX3YJ/pXn/wKd315V6/0z3V5XLjry7vwwZ4PsPLgyqhumzm9gxyTdEwdbfJ3RlLssOgpGTswZ2SYPSPDJVZiWukcnFEwA0mWJF1nJItptQWPaVU5I3tBjHznx3dw7pvn4pbltwDwTaInmBNYqsPknMkAYluMlGWZOSMzLel9vDeRwce0NrkUZ2RBp4tZOCMFsYIqpjXJdz/a287IHTU72P1NfmK+qp8kRbVqxUi6Z1U5Iwf53JRAIBAIIkeIkQJBCPiekXSzRQ/fRKo1FRuv24jN128OyxFCrorqtmq0dbRhZ+1OAD5nCaHqGSmckQB8rkgASI5LCbyiQACfM5LESOrrphfTSty78F6YDWasPLQyaO9IfhltNxS0H22uNsiyHNZ7gkHOAxJRuuuMDDR5Pyxd6RvZG85IwPegXJhcyF6LlcneWCVUf75oUJyiOCMDxbQCPjFyY8VGAMCqo4qgNr9oPluHFyICuRxpwj3BnACb2aZKROAnjEwGE3NmUvRfmjWNxQoHQuuM9OsZaQkcf9hd2t3teHnLy6hp04+Kp0p5vu9mT7Hm2BomxOpFpXaHanvwmFbAP/pX9f7OSbhwx3dB/4c5I6NcNBGqWEaWZWwo39Aj53M0+fKQ0i9yUckiAFA5I2VZRru7ncXM885Ivd+L7xm5o3pHjzutqdfllsotAKDrUp+UO0lZp2pLj+5LX9LsaoFbVopiBpozkmJaeWek6BkpiCXa3e0sdSPF0jcxrUPThiLBnIB2dzu+OfINADBRlJJADjboi5F6zsjBPjclEAgEgsgRYqRAEIJgPSN5jAYjJEkKa5t0s1ndVo3NlZtZH6qKVnUvNF1n5CC/4WvsjB5KMifDaDD28d4I+jvUMzLcmFZAccosLFkIAPhg9wcB1+uKGLmvfh8ApfdcNCIJaQJwRv4MAMqEOsU7a9lfvx8PffcQnG5nwO2Ra0T7QDw0VXFG9poYma2IkSRAAsIZ2d/pTWfkseZjcHvdujGtU/KmQIKEY83HUNZchjXH1gBQOyMDxbRSjKsMGYcblShYmmzn1+MFTMAXvU6O53BcV4FiWv16RvbANf/FzS/iimVX4J6v7vFbJssyq3jnJ5t6ihUHVrCftQVZ3SUcgXxIitLfVCtGyrLM0iuEGBkbyLLM0gO0bufuQteqytZKXdHtu6PfYcYzM3DtB9dG9XOjiSzLzBl5QukJAHyFWy6vC60drWxMMEpGJFuSWaFkS0eL3+/NOyMdbgcONBzo0f1fU6aM9YcaD8Ere3Vj5ymmdUvVFvbsFWuQK9JmtMJmCtzntD9C4mm1o5Y5IQtYz8jo9FoXCPoSuueTICHJkgSryYqhaUMRZ4xjKTQ9jUEyYEKO0hJjfdl6AGCJNEyM7HRG0r09FYeKmFaBQCAQRAMhRgoEIWAxra1VbOKfj2ntCjRxWdNWw9wbgM+NQLCekbwzcpBHYTR3NAIQ/SIF4TE8fTgA5aGppq2GPTAFc0YCwFmjzgIAvL/n/YDrdMcZCficUN2BJvtKU0uZkMJ/Bs/dX92N21bchsfXPR5we4H63c0ZMgcAMCpjVLf3ORwum3gZJuVMwlWTrmKvkRh5rCW6goUgOoQTidldchNzYTKY4JE9ONBwgFWX887IxLhEjMpUjtPnNj0Hu8uONGsaxmSNYevwsVi8yGgymJhISBMxemKkVqynZdtrFGdkOO5QElBJUO3NmFaKKKxs83c+tnS0sKjZ3hYjo+2MDFRcwcOif5vVYmRjeyP7HmodQoyMBfbV70O9ox5Wk5VNxEaL7IRsGCQDPLKHHXfazwaAH2t+jOrnRpP9DftxtPkozAYzu+bHm+NhMVoAKLF8fL9ISZJUxZna2HhtT+uejGpt62jD1qqtAACnx4mq1ipdMXJUxihYjBa0drT2uDjaVwzUfpGAr2fk4VZf0ZmvZ2RrVBJFBIK+hKVsWVNgkJSp2JVXrsT6a9cHbCHSE1DRpwzlnGJiZJpajKRxlJ7/GtsblaI1u4hpFQgEAkHXEWKkQBACVUxrp0OBj2vrCvRg3ORswvfHvmev+zkjXcIZqaWp8yFb9IsUhENCXAITsd7b/R576CLhLhBnjjwTALDqyCrVAxdPl8TIOk6MDOBgjASa7EuyJLEHxd21+lGt5Pz5YE9gt2cgd9tZo87C7pt24/7F93d7n8NhYs5EbP7FZpw9+mz22rjscQCArw993eNxb4LIYcdOD8a0Gg1GDElWnGwUyWeQDH6OXYpqfWrDUwCAuUVz2aQPENgZCfgKFWiimq73fAEDFRSxf3c6JSmmNRxBNpAzknqb0ef2xDV/T70ydtl1nCb8eBeJGPnEuifwytZXItqPpvYmrCtbx/6t17exO7DiijB6RmqdkXw0WaBrgGBgQS7paXnTQsYoR4rJYGKuFj3BkYS6/uyyJVfkrMJZiDfHA1B6RvNRrXQu0D2UxWRh36U2qpV+Z3KhbqvqOTFyQ/kGldPxYONBnxgZ7xMjzUYzu5egONdYg/WLtA6sfpGAL6a1sUO57lmNViaqemQP2j3dTxQRCPoSvV7nRSlFrD1Fb6H9PBIjKVFoZ43SQojG0ZEZIwEo7REcbgcrBgSEM1IgEAgEkSPESIEgBDSxWmuvZQ4GvZjWSEi1psIoKRGjn+3/jL0e0BkZJ5yRRFOnMzJFOCMFYTI2aywAsHi0FEtKyN6uxanFmJgzEV7Zi4/3fuy33Ct7VQ5EijUMhtvrZpWmgLqfUlehyb6kuCSMzhwNACyGTgtNgq4+sjrgg2OgWENJkjAyY2SfRiOfUHoCUq2pqGitwOqjq8N6T2VrJV7f9jpcHlcP752gN2JaAV8f2Bs+ugGAcj3lhUbAJ0ZSf7h5Q+aplgcTI+nfXXFGUrFBd8TIrsS0VrZWRtSLjgopdMVIbiyrbw9PjKxsrcRNn9yEn733s4jip1ceWgmv7GV/v2g6I72yl/XEDCaQ82Ik77qhiFZAX0CSZRlv7XiLieLRoKq1CquPhDe2CSKHxMjjCo7rke1PyunsR6gjclHhUK29tt+6u6hfJEW0ElSIoXVGEmys0jyf0JhGLsuedEbS35Y42HBQ1xkJAJNzJgPwOcRjjdrOcZuEvYGE1s2ZEpeEBFM8+7eIahUMdOier7tzSd0lkBhJUdY7anbA6XbqOiO1BVqDvVBeIBAIBJEjxEiBIASZ8ZmQIMEre5lTorsxrQbJwJwV/MRfRYvoGRkK4YwURMrDpzyM88ecz6LGqLozFGeNDBzVeqz5mGrSPRy3w+HGwyz2D4huTKvKGVmn74ykffTIHlURBOHxetg6wWIN+4o4YxzOHqU4Jd/e8XZY7/n957/HT5b+BO/ufLcnd02A8PrzRYPHTn0M5405DxKUHs16x+rUvKmqf/P9IoHwxEitMzIcMdIje/y2HwiKlnV6nHC4HKz4KNKY1mZnM4Y/Nhxzn58b8jMBpciJejNGyxlJjka314399fvDeg8ArNivRLSeMuwUtp1oCTX1jnr299D2+OQpSCqABAnt7nbVOM47I7Xje7u7HVcsuwIXv3Mxzn3z3Kjt87UfXIt5L8zD8n3Lo7I9gZq1ZWsBKM6/noCJkVU6YmTntdrtdfdLFwnfL3JRySLVMt4ZSWMC33ebxio/Z2SnADunsOfFSEqZoULPQ42HAsY0830jY5GBHNOaGpfCru0AkGxOhNFgRHxn78sWV/eL+ASCvoTmcXhnZF/AR5XbTDY2z1SUUoQ0axrcXjd21Ozwc0Y2tTf53RP1x2uaQCAQCPo3QowUCEJgMpjYQzcTI6NQzcZPjiWYlVi2OkcdnG5f7IVKjOx82G93t6PD09Htzx+oiJ6RgkgZnz0e71z0Dqpuq8L/Lv4f3rjgjbDeR30jP933qeq8BHzOIlvnBEk4YqS2l2NUY1rjklifPD0x0uP1qIQFPbdnrb0WMmRIkHq1b0kkXDj2QgDAuzvfVUWyBeJw42EA6khdQc/QW87IUZmj8O5F72LvzXtx9/F349FTH/VbZ0reFPazxWjB9PzpquWJcYmYkT8DRSlFKE4pVi2j6/3BhsDOSK24pf13OIJsYlwicwQ2tjf6OSPpe1xfvl4ljGk53HgYba42bK/eHpYDmHrXAYDD5fBbrnJGhilG8qkOkZxr1C/yqslXKfvjdkStTyWJ4+m29KBOeIvJwsRj3plJrkpA7WarbqvGohcXsUjaZmczHG7/77ErkFjz4pYXo7I9gQ+7y87Epx4TI3ODiJFc/0Teddtf2Fm7E1VtVbCarH7fD++MpPGBd0bqRUrLsswE2NlDZgNQxh69Mae7yLLMnJGLhy4GoI5p1Y7HNAnfl/07nW4nFr+0GHd+cWfUt00xrQPRGWk0GJHKPWOnxCnHVpJZuS62RqGITyDoS/RiWvuCVGsqS4bIS8qDJClFAJIksXvojRUbfc7IzmdMGTIONR5SbWuwF8oLBAKBIHKEGCkQhAFNClKVfXedkYC6Uvf44uNZzxWKlQN8zqkEc4KqT+VgjmoVzkhBV0mxpuCc0eewvk6hmJY/DXmJeWjtaMVXh75SLaMJ9xkFMwAohQOh4gl5EYDe013IiZBkSWK/l/YhEVAefnnx7pN9n/iJeSQmZcZnwmQwdXvfeoKThp2EFEuKEtUaRpxhQ+eknNZ1LoguLo+LiUg97YwkhqUPw72L7sXJw072W5ZsSWZV3DMLZsJisvit8/3Pv8eem/b4Lcu0KaIjTbprxUijZGSuRvYejXgfjiBrkAzsPmB/w34/MfLEoSdiUs4k1DvqcdPHNwXcDk34A+EVRfBiYbSckbwYqS260LLm2Br8bdXf8MCqB7C3fi+MkhGnDDuFCbrRimoN5IrSQ69vJC8Au7wu9j3/aeWfsObYGqRZ05iDpyv3ZA+segCLXlzE/gayLDMB9b3d70WlWEXgY2PFRri9buQl5qEwubBHPoOckTtrdvoVDUZ6nvY25IqcO2Su35jIxEjOGZluDR7T6nA72D3G8PThyIzPhFf29ogAeLjpMKraqmA2mHH+mPMBaHpGasYAKj4IJ16/p9hQvgFfHvwST6x/IurbJmfkQOwZCQAZXLFpSlwSACCxs2i3RYiRggFOfxEjAd81iyJaiam5SrrIFwe/YHNfhcmFrAB3f4M6AUM4IwUCgUAQKUKMFAjCQDu5GhVnZILPSTEtTxE9AKCi1Tdpzk9Omgwm5qCstdfi3DfPxbXvX9vt/RhoiJ6Rgt7CIBlwxsgzACjiHQ8TI/NnsFgwbQ8NLdRPjohmTGuyJRmlqaUAFAFBG5dGk5+JcYlIiktCdVs1fij/QbVOIBdBfyLOGIezR3dGtf4YOqqVHpDLW8uDryjoFnTsGCWjyjHTl1BfuOOLj9ddbjQYdUVKrbBIYiRNyGfGZ/r1qOSv50D45xDFx3558Et2vafrvNloxvNnPw+jZMTbP76Nd3/UjxrmHVfBHJRESDGyB52Rbq8bp716Gu744g7c/sXtAIDjCo9DijUFQ1KGAACLkO0ubDwLQxjWEyO17jUa33fU7AAAPL7kcV+UbhdcAY+tewxfHfqKFVW0drQyh6XdZceHez6MeJuCwJBzblbhLOYAiTZFKUVItabC5XVhZ81O1TJejORdt/2FQP0iAS6m1aEf00pjJH/fwRdbJcYlYkzmGAChixW6Av1tJ+dOZp8TrGckXaMa2xtV0fm9CY1zzc5mv+SN7sJ6Rg7AmFZAvd8+ZySJkSKmVTCw6S89IwFf30itGEnOSGrpkWpNRZwxjgmolBRGhR2DuUheIBAIBF0j5sXIlpYW3HPPPZgwYQISExORkpKCGTNm4KGHHkJHR/eiLquqqnDrrbdi1KhRsNlsSE9Px/z58/Hss8+G1T9m//79uP7661FaWgqr1YqsrCyccsopePdd0duqv6F9kOVdil3eZrxvm9PypyEvSREj+Uk9qoxPiFMewmji64n1T2DZrmV4dtOz/XJSoycRzkhBbzJniNLriCagCZpwH5UxSjVRF4yejmlNsiQxwYQiJgkSI3MScpiT7KO9H6nWIVdOf+wXyUNRre/8+E7IqNYGhzJe8OMqz7qyddhatTW6OzgI4V1oWqGur/jzoj/jrvl34bdzfhvR+/hJdsB3vSenJUVV8WgFzHB6RgLA4lIlUvCjvR9BhnLfSM5IQOl9efs8RbS78eMb2fHMw4scYYmR9ZE5I8O5nw1XjNxSuQUN7Q1IMCfgonEX4dzR5+KBEx8AAAxJVsRI6j/ZXSLpYUqfHcgZCfjGUBIRSlJL2GSitvgjFB6vh6VgUAEan4oBAG/sCC9OXBAePd0vElDi7WhyVxvV2p9jWr2yl6U/aPtFAqFjWvVEefp9E8wJMEgGVmwQrfObhxeaS1JLACjnMo1lgcRIoO8cPbwDPNpO2YEc0woA6RZejFSckSKmVRArkHDXH5yRP5v8M5w24jTcOP1G1etTchUxkopPaAylfSZnJCXyCGekQCAQCCKlf8wY9RCHDx/GxIkTce+992L79u2QZRlOpxMbNmzAbbfdhlmzZqGhwX9iJxx++OEHjBs3Dg8//DD27NkDk8mElpYWrFq1Ctdeey2WLFkSVOz8+OOPMXHiRPznP//BoUOHYLFYUF9fj88++wwXXHABrr766rAmgAS9g7ayPhoxrVpnJFWl8XGC2tg2mvh6+oen2TrUY2iwIHpGCnqT0ZmjAcDP5UAT7iMzRjIhItSEEsW00kNdNGJaSYhIsigTNqVpijvyYKO+GJkZn4nTRpwGQEeM7KWef93lpKG+qNb1ZesDruf2utn3oxUj3V43frfidzju2eMw/T/T/VyigsiIRPjpLYpTi/GXE/4S8fU6kDNyQs4EfHPVN3jjfH+RSNszMlxBn8TIdWXr2Gvx5njVOn88/o8YkT4C1W3Vfucs0H1npPZeky+q6PB06AqWWnjncTAxcvVRxQU4v3g+3rzgTSy9eClzhzIxMsyY1h3VO1DWXBZwOXNFxXctplUrGNXaa+GVvShrUT6zMLnQ1ysvQldAjb2GFVLQ2ETjr9VkBaD09RVug+hBghU5pnsKir3bUqkRI/uxM3Jr1VbUO+qRGJfo118X4JyRfEyrLXhMq/beJNLzOxJ4MTI/KR9mgxke2cN6YJOYSpgMJnbuhkq06Cl4UTba4jTFtA5YZyT3fJfc+fwrYloFsUKjsxFA/xAjh6UPw0c/+QgLShaoXh+ZMVJ1L0rPhVpnJCXyNDubQxaHCgQCgUDAE7NipNvtxplnnolDhw4hLy8PK1asQFtbG+x2O9544w0kJSVh06ZNuPzyyyPedlNTE8444wzU1dVh9OjRWL9+PVpaWtDW1oZ//etfMJvNWL58OW655Rbd9x88eBAXXXQR7HY75s6di927d6OpqQlNTU24++67AQAvvPAC/vGPf3TnKxBEEX5yPs4YxyaLugNNVmbGZ6IwudAvplWWZVXPSMB3E8jHCg02V49wRgp6k1EZiguqrKWMTfp3eDqY2KcnRnq8Hr8qUbfXzd4zOXcygCjFtHLOSMD3YBjIGZkZn8mckRsrNqriwZig1M/FSIvJwtwtWvcJDz8xWtVaBY9X6XvS4GjAKa+cgn98p1xjXV4XLn7n4ojdTT3J+7vfx1+//Svb5/7OQBGywyGQGAkoIhqlGAR6T5o1jfWADsXw9OFskh5QhEijwahax2KysOjEXbW7/LYRsTOSEws9sgcur0u1XOvwDieqlRf7q9qqAp5LJEbOHTLXbxlzToUhVtS01WDK01Ow+KXFAddhx2QYAnmwnpHUP7fWXotaey06PB2QICEvKa/LMa180RkTIzvH3ym5UzA2ayw6PB14duOzWL5vOV7a8hK+P/q9ECe7SFlzGY41H4NBMuiKbdGEiZFBnJH9rWck9YucXzQfZqPZbznvjGQxrZzAFyymlYope1KMpD6UU3KnwGgwoji1mC3LjM/0G1MB3/6HG0UdbfjvIZxxOxIGujMyWEyrcEYKBjospjUKhe09hdFgZNcywDdnRf3SDzUeAuBzRsqQo1JgKxAIBILBQ8yKkS+++CK2bVMcY++++y5OPPFEAIDBYMDFF1+Mp59WnGUff/wxvvjii4i2/eCDD6KyshI2mw0ff/wxpk9XHmzj4uLwy1/+Evfeey8A4D//+Q/27PGvEL/77rvR1taG3NxcfPjhhxg5Uon+SkxMxL333ovrrrsOAPD//t//67JzUxBdeJdDtDL+KcrppKEnQZIk5oykial2dzurMmPOSO7GlR6kt1UNLmek6Bkp6E3SbGlMYNldtxuAUhHqlb1IjEtEbmKunxh59ftXI++hPFatDygPbm6vG1aTFSPTlTG/uzGtLo8LTo8iJpL7gCLK6EGR4MXIgqQCJFuS4ZW9zK0JANV2/f5K/ZFxWeMAKO6oQDS0+66fHtnD3AcPrH4AXx78EgnmBDxz5jMoSinC/ob9uOGjG/pNIsG1H1yLO7+8Ew9+92Bf70pY9EdnZFfRumjCiWVPjEuExaj0n4zkO5AkCYuH+gQ1PqKVh4oiaAziicQZyTubCK3zUesUilSMBPz74wJKgRX1R9QTIwuTCwGEF+N4oOEAXF4XdtftRru7XXcdPjo4FMHESIrnrbXXsojWnMQcxBnjdB1h4cB/X1pnZG5iLi4dfykA4LYVt+HUV0/FlcuuxJzn5yD1gVRc/d7VEX2WAHh247MAgAnZE1jbg55iUq5PjOSvJypnZD+LaQ3WLxJQOyNpfNB1RurEtFKhVE/FtNpddvbd0nMU3QcBgc9/2v9Q8fo9Bd8bl3fK3rr8Vvzph+5d98kZmWntH/2bI4UXUVPMyvGTaBI9IwWxQX+KaQ0GRbUC/jGtVBSfn5TPiu9EVKtAIBAIIiGmxUgAWLRoEWbPnu23/JJLLkFpqeIgeemllyLaNq3Pb4Pn5ptvRmJiIjweD1599VXVsra2NtYT8oYbbkBqaqrf+++44w4AQHNzM5YtWxbRvgl6Bn5yMVqVbLMKZ2H3Tbvx3FnPAYCfM5J3TVFUBj3wJ5gTcP/i+wEMvphW4YwU9DYU1UquJL5fpCT5IsBI8Pts/2dod7fjts9uY5ORJPoNTx/OhMPuVpHyk5t+zsggMa2SJPn9TsDAEpTGZXeKkTWBxUjtgzFN+pNj5R8n/QPXTL0Gr5//OoySEa9tew1v7nizZ3Y4Atrd7UwIufuruwdEwclgcUYGQpIk9r5w+0USFNUK+FIQtOidrwTvRgolRlLf2sLkQtbbUytGasXHUGKk0+1k48vYrLEA9KNajzQdQVlLGYySETMLZvotj8Q5xTvL+El9HvouwjkmSYysbK1Eh6cDXtnLPmNM5hgAimhBsbAknOo5wsKB7vMA37hEPSNzEnJwxaQrkGpNhclgwpjMMVhYspAJLa9te63fFE0MBO7/9n7c8/U9AIBrpl7T4583LmscDJIBtfZa1d+5v/aMdHvd+ObwNwD0+0UC+s7IkD0jeymmle5brCYrOx/pPggIfD9DAmt/cEbS8VDRUoGH1zyM+zY+grYw4rH1cLgdsLsdAAZuTKu6Z2SnM7KziKDVLZyRkSLLMm7++Gb8Y7VI3OoP0LNJfxcjp+ZNZT8zMVJTCJ5hy2C/h0huEAgEAkEkxKQYabfbsXq1Un29ZMkS3XUkScKpp54KAPjss8/C3vbu3btx5MiRoNtOTEzE/Pnzdbe9atUqOByOoO8vKSnBmDFjIt43Qc/BT2aFMzEZLiMzRsJmtgEAi36jiSkSKmwmG4sYogfsG2fciAXFSr7/9urtAybKr7vIsix6Rgp6Ha0QsLlys+p1EiHq7HVodjazSeXVR1fjwz0fAvA5hUakj2CCQ3djWmkC3GK0sGi1gD0jHT4xkt933mk1kAQl5owMIkY2ONTJAjS2kjBM38GcIXPw+7m/BwC8tCWy4qSegI9w7PB04MplV6LDE7gHdX9gIB07oeAn2YHwr/nUBzrS74B3IwV0RmYqzsi9dXv9rveqmFZ7cDGSL6SgIieHy6Fah5xCNFaEmqyn8S7OGIdZBbNUn8NDEa1T8qboutPIOXWs+VjI3kO8mymQGEkiRTjOyMz4TFhNVsiQUdZchnpHPdsHGid4ZySJkXqOsHDQdUZyxSBFKUWouq0K9jvt+PGXP2LllStx4FdKjyanx9lnAspA46HvHsJdX94FALhv4X24aeZNPf6ZNrONOZmpb6Qsy/22Z+SaY2vQ7GxGqjWVRchrIeGu2dkMBwld8cFjWgM5I6vbqlXx8N2Fv/ZIkgRALUaGdEb2Qc/IDk8HO98B3/HAj2VVjq4dIxTRapJMSO50FQ401DGtyu+QZFaujS3dTBQZjBxuOox/rf8Xbv/i9rB6QAt6loEiRk7J8zkjtT0jiXRbOrsPEs5IgUAgEERCTIqRO3fuhNerTCKMHz8+4Hq0rLKyEvX14T3Yb9++3e/9wbb9448/duv9O3YEnmgNl+rqauzYsSOi//bt2xd6w4MIlTMySjGtWqjqnSaitf1WAOD3836Pdy58B//vhP+H4enDYTVZ4XA7WCPxWKfN1QqPrEzEpg7QXiiCgYdWjCQXAUUNsphWRy1216pjFO/44g54vB4m+g1PH87O6e6KkTTZx4slfM9I3j3DOyMBX+wj77RiTqIB4IwkB1Zla2XAiXk+phVQxla3180ibIenD2fLLhp3EQDlbxsN4c/lceH0107H7Z/frnp9c+Vm7KzZGfS95KbJjM9Ehi0Dmyo39fu41oHkqg2F2WhWXefDFSPp3IpUjMxPymfuu0BiZHFKMSxGC5wepypKFIisZySJhCMzRjIxkp+cdHlcTFAYkT4CQGgxsqyljP0eJJruqdcRI4NEtNL7JUjo8HSE7KnHL9eLfZRlOaLxTJIk5o480HCAiQOp1lSWWqESI5M6xUhr12JatT0jZVlWxbQCirjL9++zmCzsGNPG4gr0eXjNwwCAPy/6M/644I+99rl8VCugCMh8r/f+1DPyxc1KktDZo87W7a0IKH1wJUjs30bJyERGALpxxdpnmAxbBqwmK4DABQRdgTmKufNcFdMary9G9mXPyLLmMsjw3Z/RWMWf1xUhCksCQRGt6dZUJs4ONDJ0nJEiprXrkEjklb3YXr09+MqCHof1jOyh+aRoMS5rHOuZre0ZSWTEc87ICIuyBAKBQDC4iUkxsrzcdzNfUFAQcD1+Gf+eaG67ubkZra2+G2d6f1paGmw2W8j3h7tfwXjyyScxfvz4iP4755xzuv25sYSqZ2QPNRynCa8aew06PB2snxzvIEi1puL8sefDbDTDaDAyd9BgiWqlfpFmgxlWY+DzRyCIJrwY2eHpwHdHvwMAHF98PACoekaS6Dg5dzLSrGnYUbMDk/49CU+sfwKAIgLQOR2tmFaKQQOA4tRiAIrQyU94asVIrcDKT94PhJ6RSZYkJh4E6hupF9N6pOkI3F43LEYLCpJ91/AJOROQGZ+JNlcb1pWt6/b+baveho/3fowHv3uQ9bSrtddi7vNzseC/C1QT01pIqBiRPgJ/XfxXAMCyXcu6vU89SSw5IwF1VGu4YiT97pRyEAkU1RpIjDQajBiRoYiD2qjWSHpGhhIjaWJegoRh6cNUrwWCJtDzk/KZgBnMGRlIjIwzxjFBIVRfuVAxra0drczBFe4xOT5bKQLcXLlZNRby4/uxlig5I1t99/Yurwt1jrqwziFtb3FBYPhr2lWTr+rVz56Uo4iRW6u2AlCfo0D/iWm1u+wsmvxnk38WcD2jwahyxKTb0lVCF42RujGtnaKlJEk9EtXKCmG484YSIoD+2TNSO2bR8UCFHQBQ6eiiGNlZhJVpGZj9IgEgnUu+Se68JoqY1q7DO5Yp2UXQN7i9blaI2lPzSdHCYrJgzpA5AHzPjLrOSKtwRgoEAoEgcmJSjGxp8T30xcfHB1yPX8a/pye3TT8Hey+/PNz9EvQsfC+Snqpky4jPgNmgVMFXtVbpOiO1TMiZAMA34RHrsH6RlrQBW/ErGHjQQ9je+r1Ye2wtHG4HMuMzmTuP7xlJzsiZ+TNxxzyl/++Omh0wSAacOfJMnDfmPF9MazfjprQxaIAyVtGENTkAad8A/ZhWWZZR1lKGDk8HDJJhwAhKVIzxY82Pusv1Ylr31+8HAAxNG8p65gGAQTKwuMwvDnzR7X0jt4ZH9rCej+vL1sPusqPGXhPUzU5CQ15SHhaVKj28tlZthcvj6vZ+RZM6ex2L24slZySgjiDkz69g3DLrFvx04k9x+cTLI/68S8ZfAgkSZuTPCLgOuZn5aGUgtDOyraMNL2x6AQ999xDWHFsDILAYSRPzqdZUZMUrsbORiJEjM0YCUOJkeWd2s7OZFU3NLdIXI4Hw+8qpnJE665KwF2+O142E1WNKrhJJtqlyExMHeDGyzlHnF9Pa5Z6RnDMSUL5DPYeXFiFGhk+zs5kVfdA1uregQhk6Dukc5fu09oe4xP/t/B9aOlowNG0o5hfPD7ouH1/Nj4+Ab1JdN6aVK5aiqNZQxQaRoHUUA+HFtPalM1I7ZtF4w5/XlV0UrGvbld9noPaLBLQxrZ09I0VMa5fhiyEoOlrQN/Du8f7ujASAdy58B+uvXY9x2crzllaMFD0jBQKBQNBVYlKMFAh6Apqg76mbR4NkYA/TFa0VrHKOhAs9JmQrYuRgcUayfpFxqX26H4LBRVFKEawmKzo8HXhxixJpNr9oPhPEeecMxROOzBiJXx33K/x2zm9x38L7cOj/DuH9S99Hui09ejGtOs5IgItq5fpGasXIYWnDYJAMrMflt4e/BaBMyFtMlm7tV28Rqm8kxbTSGFrRWsH6RfIRrcQJJZ1i5EF/MfKXH/0SM5+ZGfYEMgkLgCJuAMCG8g3stWBRrRTTmp+Yj6FpQ5FsSYbT48TO2uDxrr3JzpqdKHi4AJf/73K4vW52fA0UITsUdJ5YjJawz4fp+dPx0rkvMaEqEuYWzUXj7Y34ywl/CbgOEyM1UdD8RKPdZfcrcnhy/ZO4+v2rcduK29gk+JjMMfpiZGf/tIz4DCY+0GR9u7sdP9b8qBIZAU6MTMzHsPRhkCChydmkcn99efBLeGUvSlJLmKCmR7hiRShnJItojeB4nJo3FYByvtL7s+KzmPCi2zPS2r2ekUZJicUsay5jgj4vqmjJTxRiZLiQsB5vjme92XsLErrofKJzNCs+C3HGOAC9G9Xqlb1+7kwAeGHzCwCAKyddqSrO0YMXILV9dfmYVhoftM5IwFdsEM2YVj1nZHZCNmwmG/tZj750RtL4RnGyFAvNOyMr7FV+7wsHimnNGMCtLNQxrcrxQzGtwhkZOSpnZNXmvtsRAbtXiDfHq2LY+ytZCVmYnj+d/ZsXI+OMcYg3x4uekQKBQCDoEjEpRiYl+R587PbAE4f8Mv49Pblt+jnYe/nl4e5XMG688UZs3749ov+WLVvW7c+NNeiBNtzItq5A8W7lLeVhOSMn5kwEAOa8iXV4Z6RA0FsYJAMTAl7f/joAYEHxAracOWfsdUwoGJU5ChaTBX8/6e/444I/skl2ANGLadVxRgK+Ca6DDYoY6fK42EMiE1lMFgxNGwpAiX38+vDXAHzRswMBcqYGEiPpdx6TpfTjK28px/4GxRk5LG2Y3/qLhypRmWuOrVEJOvvq9+HJDU9iffl6/FD+Q1j7xouRGys2AgA2VHBiZBBhkcTIvKQ8GCQDc2zRdnobWZbxwe4P2KQvAHyw5wM4PU4s3blUEaggwyAZVPGmAxn6PXryeq8l2ZIc1PHPu5l5eGck4O+OpFjXaXnT8PMpP8dTpz+F0rTSoM7IDBsnRnY6bW76+CaMe3Kcn1hPwlhBcgGsJitzhe2p24Njzcdw40c34oK3LgAALCpZFPQ7iJozsvNYjSRyms6zXbW7mKvcL6ZVK0bq9MoLhVf2svGB3AZ76vaEFSsrnJHhw4T1XnZFAvAT8vnCIXIckwDVG1z8zsXIeTBH1W/2cONhfHnwSwDAFZOuCLkN/nvUipE0Trq8Ljg9ilte7xkm2Pn93dHvutTPrrLN31EsSRKm5CnnM/Wx1ULial86I2nM0esZWeno2vFBMa0D2RmZaE7ABaWn45TChci1KWM4xbS2dLOIbzDCi5FbKrfAK3v7cG8GN3SvMBBckXqkceMKxXWLnpECgUAg6AoxKUbm5/uqrsvKygKuxy/j3xPNbScnJyMx0fcgRu9vaGiAw+EI+f5w9ysY2dnZGDduXET/DR/u7xoZ7FC1ujaiIprQRFNFS4Vuz0gt5IzcV7+v25GP4fLJ3k8w5JEhWL5vea98Hg/1jEwRzkhBL0OCFk3c86IdTVa3udrYxD+Jl3pELaY1TGck3weOf5DkYx+/OfwNALXI2t+hifxAPSPJGUkOyvKW8qDOyGFpw1CUUgSX14VVR1ax1/+7+b/sZ15kDEZIZ2QQMZLFtHb2ESbHVl+JkZ/s+wRnvXEWrnrvKvbat0cUJ61X9uLfG/4NQDkPjAZjX+xi1KGJ994UI0NBk+rBekYC/mIkuW1unHEjnj3rWfxi+i8AIGJnJJ0T/HEMqGNaAbCo1jNfPxNDHhmCpzY8BY/swVmjzsLfTvxb0N+xK2KknsuK9V+MIDY4LykPOQk58MpeJrhmxWexY8HtdbPvivrN6vXKIypbK3HTxzf5/b1q2mrgkT2QIPkKDSqVczvBnBD0no+Jka3RFSNdHhfu+eoe5pCPBZiwHt8PxEiucIjuF3qrb6Tb68ZHez6Cw+3A90e/Z6+/vPVlyJCxqGQRK2AKBv89agVe/h6EJtv17k+Y81lzfh9rPoZ5z8/DhKcm4Py3zo9IlNRzRgLAuxe9izU/X8OKOLQwZ6S973pG0rW9ydmEDk+HJqa1iz0jO4s2M60Dt2ekJEl4+8T/4NMlr7ICHXJGtnSziG8wwhcstbnagrYJEPQsdK/Q3/tFBoKfA6PrQFeKsgQCgUAgiEkxcsyYMTAYlF9t+/bADzS0LDc3F+np4d20jx8/3u/9wbY9duzYbr1/3LhxYe2XoOf55Yxf4vQRp+P8sef32GfQ5HO4zsicxBxkxWdBhhywb1q0+WjvRzjWfAxPbXhKd7nL4+qx3mbCGSnoK0Zn+Ca0UiwpzJUMKBPSJoMJAOD0OGE2mFGaVuq3DSJaMa1U7ax1RtJnkxhJE/fptnSVWESTdN8c/oaJY/OK5nVrn3oTckZWtVWhzl6H17a9hvPePI99L9Qzkl+PXGXD0v2dkZIkYXGp4o4kMcLj9XRbjNxatRVHm46qJhqDxrR29pMj4aGvxUhyg35+4HM0O5vhlb1YfWQ1W/7SlpcAxE5EK9A3zshQUPFARWuFujdb50QjTQhpxUjmXEwqUL1OMYbkyAMCOCMd9ejwdDAh/3DjYd3t0/E6OXcyAMWZLEHCvKJ5+OrKr/DeJe+FdCqSq5J6uwaCj1astdfC4VIX97H+ixEek+SmonMtOyEbNrNNFZefGZ8Jq8kKQL9XHvG7Fb/DE+ufwIPfPah6nZzP2QnZ7PfdVKEULIQST3vKGfnfzf/FvV/fi9+u+G1Ut9uX9KUzkoS7NlcbnG6n2hmZEH1n5Pqy9Rj66FC8teMtv2W7anexc5ySAQBg+X6loDDcHrfBnJEGycDuQ2iyXS+5gRUbaGKYd9fuhgwl3nXpzqWY+NREfLL3k7D2K1DhQW5iLo4rPC7k79OXzsiJORNZPG6tvRZlzVxMqyO4GNnh6UCrzj0k6xkZY89J1DNSxLRGjvb6tLlyc9/siID9LQaqM5IXI+k6QK81Ohvh8riw4L8LcPwLx7Me5QKBQCAQ6BGTYmR8fDzmzp0LAPj0009115FlGcuXKw9iJ598ctjbHjlyJIqKioJuu62tDd9++63utufNmwebzRb0/YcPH8bOnTsj3jdBz7KodBE+/MmHYVUQdxXmjAyzZyQATMjp3b6RdCP95cEvdUXHU145BcX/LO6RCjnRM1LQV/DV9fOK5qlEPUmSVBN1w9KHMXFSj2jHtGoFE3JGUtSgtl8kQb/TuzvfBQCMzx7fJy6SrpIYl4jilGIASu+rK5ddif/t+h/e3/0+AF9M68iMkTBIBnhlL3Mp6TkjAfiJkSsOrFD1caKJz1DwYmS7ux2vbH2F7TOgTBBre+8RfEwr4BMjN1du7pN4rb31ewEoDpvPD3yOnTU70dDeALNB6XdD16pIXGj9nf4oRqZYU1hCw546pTetLMtsHCCBPZAzktx8RFBnpEaM3Fe/Dx7ZAwA43BRcjLxj3h14+oyn8dnln6Hh9w349mffYkFJeI7rafnTACjHeru7XXcdr+z1czPx5yignLeAzxUdLlNzp6r+TeIpP3byom4gR0B1WzXe3PEmAH/nJhUb5CXlse+MismC9YsEfN8xL1pEA9rXcMe3gUBfOiOTLclMZKp31LP75mRLMotpjWbPyI/3foyDjQdZjDwPX8TCi/w0hlDxQCiCiZGAvzBPAqwqpjWAM5LO30k5kzCrcBZkyFh5aGVY+xVOr1U96Hdo6WhBh6cjovd2FxJji1OK2dhypOkIS3MAgMoQztnFH12Motdnoq5dLabWORsBDOyYVj2SOo+j7sS0toXZ8zvW0IqRWyq39NGeCFhM6wB1RvL7TddW1ju7vQmbKzfjm8Pf4Nsj32L2c7Nx5bIr2T2PQCAQCAQ8MSlGAsCVV14JAFi5ciXWrl3rt/ztt9/GgQNKTMUVV4TulUFIksTWf+ONN3Do0CG/dZ544gm0trbCaDTisssuUy1LSEjA+ecrzrqnnnoKTU3+gs0DDzwAQOkXec4554S9b4KBDzkjK1orwnJGAsDEbMWh1VuVjqzquaPFr+rtQMMBrDy0EhWtFVhXtq4HPls4IwV9Ay9G6kWZ8pPVwSJaAV+BQbu7HR6vR7Xsh/IfcPLLJ4flgmNuiwDOyEONh+CVvQHFSNpPmogbSBGtBEW1/m7F7+D2ugGA9cWiib3M+EzVRKVRMjIRU8sJpScAUJxKL25+ES9sfgEAmBMqUmckve+Zjc8AAM4adRaMkhEtHS267qYOTwf7e9H1YFTGKNhMNrS52rC3bm9Ynx9NSIwElJhuius8vvh4FjMJxJYzcmHJQuQn5eOc0ef09a6ooHOWRPU2VxtzFFEfVF6MbHe3M+cPCVlE0J6RmphWPmqUihwAJWqa7glo+2m2NFw37TqcNOykiCfcSlNLkZ2QDZfXFbA/a1N7ExNGqTiMd1odbTqK745+BwkSLhh7QUSfT85IglxsvKBF/SIB3yScw+1QFWc9u/FZNq5ScQHBi7f0ndHvE+ocIkG5srXS79rRVapaq5jw0xcusZ6CxtG+cEYaJAOLRK931KtcgqxnZBdjWmVZxv76/apiFvpdta5lAKrziJyRje2NbJwYkT4irM8NFtMK+Avz9AyjimntdEbWO+pV4w6J65NzJ+OCMco5GyqqGVDGLroPivT6k2pNhQQlApRSFHqDdnc7+9sPSRnCjgetQFTlqAlYfCTLMr6v/gENzkasKFNHK7OekTH2nJRoUq5XTo8TLq9/IWx9ewMWfXgBLvj8WqwsX+1X7HX/pseQ8uJorCxf7ffeWIfGH7qn3Fy1uQ/3ZnDDYloHqDPSZDCxZ870ziho+l0a2xvZ3A9d/17a8hJG/mskHlj1AJxuZx/ssUAgEAj6KzEtRk6YMAGyLOP888/HF18oLgev14u3334b1157LQBgyZIlWLx4seq999xzDyRJgiRJumLjbbfdhtzcXNjtdpx++un44QflQa+jowNPPfUU/vjHPwIArrvuOowcOdLv/ffddx8SEhJQUVGBM888E3v3KhN9bW1tuO+++/Dvfyv9l/7whz8gLS22HiYEwSEnzK7aXWxyIZQzckbBDADA2jJ/0b0n4CssKeaJ+PzA5+znSHq+hIvoGSnoK0ZmjGQTV3oun0jESL7AwK6p1H5m4zNYcWAFnt/0fMh9CtQzsjC5EEbJiA5PBypaKkI6Iwm+D+ZAgZxPJMgAPjGSnJGp1lQ2CQMAxanFMBvNutvLS8rDJeMvgQwZV713FYu9u3ry1QAid0YuKlkEwBeZO3fIXOZg0+sbSe8zGUxs8tdoMDL3Sl9EtfIC6Cf7PmH9IucVzVOJPaEiOAcSIzNG4tivj+GWWbf09a6oYH1ea5W4YZpkNEgGJszxYiQJX1aTVdUvFgghRnLOSLvLrip2Otx0mE30ktCWYE7wK4roCpIkYc6QOQCA7499r7sOjWdJcUlMgOXdh3TOziua5+cGDQUvrgP6zkhejOR/Z5pkdHvdqhh7bQEDcz4n5vkJxKEEleyEbBgkAzyyJ2o9B9/d+S4TPZqdzT0Ws9/b9GVMK+AT7+ocdarCIdYzsosxrc9sfAbDHx+Ox9c9zl6rdSjnBF8oQFA/UsAnRtKYnpeY53f/EIhQzkht/1S9mNZkSzK7/+ELCJh7O6mAnV96vWC1kCvSYrRE7GI3GowsXpCPfe5pSHiNN8cjzZrGCh5ojC1JLYEECR7ZwyJXtTR1NLMChq/Kv1Mti4WekXokcffNevG0bxx4D19VfI93D36MEz66CFP/dwqquDHy/SOfwSN78HXF4IuObO5QntvpHl84I/sO5owcoGIk4Itl1ca0NjmbsK5cESNvnnkz1l2zDrMKZ6G1oxW3f3E7jnv2OLR1iJhlgUAgECjErBhpMpnw/vvvo6SkBGVlZTjxxBORkJCAhIQEXHTRRWhubsaUKVPw6quvRrztlJQUfPjhh8jIyMCPP/6I6dOnIzk5GYmJibjxxhvR0dGBk08+GY888oju+0tLS/HWW28hPj4e3377LUaOHInU1FSkpKTgT3/6E2RZxs9+9jP89rex07tFEB7T86cj3hyPAw0HmBgRyhk5q3AWAMXJEyjWLJrwYuRn+z9TLaNoNKBnxEiKaRXOSEFvYzPbcP/i+3HTjJswPX+633LeNTAqM7gYaTVZmbCpjWplfdma/B0OWvQm+wBFyKJeZAcbDwYUIzPjM1WTigNZjDRKRiYYHm0+ClmWmdshzZqmmvQnASMQr5z7Cv686M8sZm9K7hScOvxUAOE5I9s62tjk85LhS1TLpudPx5jMMQD0+0ayCMfEPPb5tA+AT4yss9dFzRkVjAZHA5uotZqsKGspw9KdSwH4i5Gx5IwEFGGsv0EFBNT7lBc56PuvtvvESJr4zk/K9/t9gsa0xmeooiZXH/W5SewuOxtTeJdftL6v2YWzAYQWIzPjM5lwwbuo3vpRESMvHndxxJ9dmlaqEjXItRRIjDQbzex7pHuj93a9h2PNx9i9W01bDXNtA/rOSCJU1KTJYGJ/52j1jaSIVoKPihzI9GVMKwCVs5hdq/mekV0Uk+kawBcI0DnR0N6gukf3eD2sHymgjAft7nYW0Toyw79gNhD89xhJTCsvdkqS5Osb2ewvRhYmF/qiXJtCOyP5fpFdGX/od+pNRzD93oXJhZAkiRU8kFutKKUIWZ3CbyU3lvPwIuXKCo0YSc7IGItpNRvMsBgtAPSjWlccU4qkpmSMR7zJhs11O/D+EeUZ1eP1YFu94u4/2hrdfrsDATonqSf80eajflHngt6BOSMHaEwr4BMftTGtje2NWF+2HgAws2AmZhTMwOqrV+PFc15EZnwmtlRtwR++/EOf7LNAIBAI+h8xK0YCQElJCbZu3Yq7774b48ePhyRJMJvNmDZtGh588EGsWbOmy87DadOmYceOHfj1r3+NESNGwOVyISEhAfPmzcMzzzyDTz75BBaLJeD7TzvtNGzduhXXXnstSkpK0N7ejrS0NJx00kl455138Pzzz/fLiTBBz5KdkI1PLvsEiXGJzOkTSowsTS1FVnwWXF5Xr0S18hMdG8o3sEkQj9eDLw58wZbtqNkR9c+mmFbRM1LQF9w+73Y8ftrjKpGIyLT5JqtDTfBJksT6RrZpJlXIuaAXt6YlkDMS8PVE3FK5hZ2jNLHO7wc5rUZmjIy451J/4Nwx5+K8MefhhbNfwEXjLgKgOCNbO1qZcyDVmqqa9A/UL5IwGoz4w/F/wFdXfoULx16IJ09/kvVDDEeMpAnSeHO8SuA1GUyYmDPRJ0bqOCO1/SIJ6hu5sXIj/r3h38h5MAdXLrsy5L50F4pozUvMYxG2DrcDRsmI4wqOw8iMkZiYo0SF0ySyoOegQgcSE3iRgya19ZyRfJ9DIpQzko+aXHtMnbxAxRLafpHRgMTI745+p9tXVU+MJBfVwYaDWFe2DgbJEHFEK6A4TEn4lyCxyTZ+fOfFSMA/nvJf6/8FALhpxk0wSkbIkJmDC1A7I8npSITTd5W+62iIkeUt5fj2sDKJTz1gYyWqlT+W+wKVGMkVDXS3ZySd3/x5zm+Lv3fYW78Xba42xJvjkRSXBBkyDjYc7JoYyX2PegIvfx7wvWy1zzB6YiOdvwXJPmdkWUtZyB7JdF51tRCG/ka9KczQ702iLB0PW6u2AlDG6lyb8lqlQ1+wrmn37e+epgMob1PuS9xeNxo7lHEo1mJaASCpMylI6xh1e91MlH16/gO4eZxSmPZDjfKdHmg5DLvbAQA40hbdfrsDAToXC5IKMDRtKABgS5VwR/YFseCMTLMpY4vWGVlrr2WR/pTaZZAMuGLSFXj53JcBAI+ufRSrjwy+qGSBQCAQ+BPTYiSg9F289957sW3bNrS2tqK5uRkbNmzArbfeiri4ON333HPPPZBlGbIso6SkJOC2c3Jy8PDDD2PPnj1wOBxoaGjAt99+i2uuuQYGQ+ivdtiwYfjPf/6DgwcPor29HTU1Nfjss89YT0nB4OT44uPxxRVfsJu7UJNTkiQxd6S2h2NPQGKkzWSDDJlFs26s2IiG9gY2sbajZkfIiYSIP1s4IwX9lEhiWgHfBB0fWdPh6WARo/T/YNC5qBePSMLRp/s/ZRFuWmckACaMHV808FyRgBL79u5F7+Knk37K3KBHm46yiFazQXEuRSJGEvOL5+OtC9/CrMJZTKitaq3SFUh4SLDMTczF2KyxrJp/QvYEWE1WjMkKLEaSwMDHygI+MfLrQ1/jho9ugEf2YH35+rB+j+5ATt0RGSNULs/JuZOZCP7iOS/irvl34fwx4t6lp6GJehK0eJFDT4xk8Yc6caWhnJGAb7KJiiZoDKE4yJ4QI6fnT4fJYEJla6WuQ5xEpsz4TD+XFUW0LixZGJawpweJkRnxGTAZTOxnwk+M7HQFNDmb0OxsxleHvgIA3DjjRt0iBv47452OQHiiSjTFyLd3vA0ZMmYXzmYiUcyIkfZ+5IzsiJ4zMqQYyZ0z1C9ycu5kFg++v2E/9tRH3xnJx7Q6PU5WDKS9P9F1Rjb7Ylrzk/JhkAxwe90qEV8PKvzpaiEVCax94Yyk843ESBqH85PykWtTxvIKu/7vrxXjSIirdzay19IGsNgRiJlZkwEA7x1Wtwj5oXYrmjqakWZJxdSMCZiWOQEAsKFWESO31P3I1h3MzshkSzIm5UwCIKJa+4pYcEaeM+oc5CbmYkGx0rKEhFW31w0ZMopTiv3aNpw6/FRcNfkqyJBx9ftXw+Fy9Pp+CwQCgaB/EfNipEAwEJlZMBPrr12Pp894GmeNOivk+n0hRp4+8nQAvqhWimhdMnwJzAYzWjtawxJUIqGx0xkpekYK+hs0UZdmTdMV/bRQL1g+pvVw42Em4Dc5m1gFbSB4V5SW00acBgD44sAXzHWgt1+3zbkNF427CHfMvyPkPvd3aHKvydnEJmTTbGmQJEkl7oWKadWDRAKX1xUyxpAXI81GMybkKBNjFO9LUZvBYlq14s647HEwG8xsghfourMmEqi32Ih0tRg5v2g++3ly7mT85YS/wGIKnAYhiA50HNbaa+HxesJ2RuYn+ouFWjFSlmU/NxkvOpgNZiwsWQjA577qCTHSZrYxQfD7o/5RrXTcZ8Rn+DkjKXL0orEXdfnzp+Qpn807yQPFtAI+EabZ2cxcT6nWVAxJGcLGHRKPAS6KudP9zH934Ygq0RQj/7frfwCUSFtePIsF+toZSZ9bZ69TRap3t2cknd8kZsqyHNAZ+UOFIkZOy5vGrnv76vd1yRmZFZ8Fs8EMk8Gkey9BE9LNzmb2+wI6zshktTPS7XUzUbEguQAmg4mdN7xgqUfUnJG92DPSzxmZoE6sKEgqQF68MpZXBhCsazX3ICs7+0ZSRGtqXAorpIglLht+HgDglb1LVUVhK459AwA4IX8OjAYjpmUqaQ3b6nehw9OBrfW+e60jrWUhC8piDSqGSLYksySLbdXb+nKXBi1MjBzAxQK/nv1rlP+mnCV1aPv1ziyYqfu+h09+GHmJedhTtwf/XPPPnt5NgUAgEPRzhBgpEPRThqcPx3XTrkOcUd/By3NcwXEAel6M7PB0sL6UF469EADwyb5P0NjeyBySp404jd2g7qjuflRrtb0Sz21/DN+Ufc5iWoUzUtDfoMmw0Zmjw4rY1otppYhWIlTfSH6CQcuE7AkoSCqAw+1gMXy6zsisMXjzgjdZdNNAJjEukcVKUuQZOcy74ozksZgsbFuh3Bq8GAkAZ448EwBYYQmJkVVtVayvJcFHOPLEGeOwqHQRJEi4+/i7ASj9HKlvpMvjwuVLL8d/fvhPxL9bMCimdUT6CAxLH8b2fUHJgqh+jiA8MuIzIEGCV/ai1l6r64ystdeyooZwnJGOzvi6lo4W1ttQ64wEFHcsCRo0NtGYpRcD2x3mDJkDQL9vJItptWWqIh83lG/ApspNMEpGnDfmvC5/9pkjz8TxxcfjlzN+yV7jx07t78rHU5IoSkIDjQE0JnhlLzvHaUzix6bejGmVZZlF9S0qXRR7YqTd56DtCwI6IztF7ob2BlUv0XDROiPtLruqXzy5lgFff8mpeVPZubu/fj8rMolEjLSZbXjt/Nfw6nmv6raPYM7I9ib2+8ab42E0GFXrsXO2U2isbK2EV/bCZDCxMUxbZBAIOq+66oLuC2fkoaZDAPxjWomC5ALkkhjpCN4zMrszPpqJkZ3PSJkx1i+SOLv4FCSY4nGg5TDWVm9kr39evgoAcGK+UiRVmlSENEsqOrwd2N6wG1vqfc5Ih6edfU+DBZaiYknChGylOG579fa+3KVBCxWZ6j23DST451yjwahywM/In6H7njRbGn4/9/cAgO+Ofae7jkAgEAgGD0KMFAhigBkFMyBBwuGmw6zqvifgq51PG3EasuKzUNlaiTnPzcHqo0oPgBOHnojx2eMBROdh59FNf8Hd3/8fLv34JNjdinAjekYK+htnjjoTP5/yc/x50Z/DWl8vpnV/vUaMDNE3kndbaJEkibkjyU3XV5OyvQlFtZIYSeIkP+HfVeFVKywEgomRCcr6d86/E8d+fQxnjDwDgDIJQYIG9VchWEyrpmckACy7eBkO33IYf1zwRwCADJm5NNccW4NXt72K+7+9v0u/WyBIjCQB97XzXsNjpz4WlmNfEH14V1J1W7XKGUkOG7fXzWKKg/WMtJlsAHzOSBJvrCYrEyp5MXJ05miUpJYAUAQPWZZZ759AlfBdhe8bqUWvZ2Sdow5/+PIPAICfTPiJn9soEtJsafj6qq/xy5n+YmSKJcXPic7HtJLAQvvFnJGd92V19jq4vW5IkFgBi0qMjCCmlYTmrlLdVo3G9kZIkDAyY2RMiZFOt5MV+vR5TGt7vepanW5LhwRlIjfSXoVOt5M5a+wuO9o62vziXqlQwCt7mRg5LW8ai2ldfXQ1WjpaYJAMEV8LLxh7AevNrIWKderb61nig55oSSIc7SdFtOYl5rE2D3p9JfUgR+VA6hm5uXIzALDEBG2coRLTGl7PyLOLT4FRMuJAy2EcaS1jImVGjIqRCeZ4nFtyKgDglX1LAQBtLju+q9oAADixQBEjJUnC1AzlOfSH2q3YWqdOoRhMUa2yLKtiWun5vCdaqQhCEwsxrXrQ+A8Evx+kNhUHGg7oLm9xtgRcJhAIBILYQoiRAkEMkGxJxrjscQCAtWVre+xz6IEm3hyPxLhEfPbTz5CflI+dtTvR4elAUUoRRqSPwPgs38NOd9nftBsAYDUqE6cFiUUiplXQ70i2JOPZs57F4qGLw1pfL6ZV64ykmGOHy4HnNz2P+7+9H3d+cSee3/Q8ZFlm79WLaQV8Ua3EYBAjaRKTiZE2ZVJuTNYYjMwYiTNGngGb2dalbdOEJ02ABkLrjDQZTH7OtEB9IwM5IwHFmTIkZQhMBhN78Cdhhj6TJjqiBYtpzRgBQImwvPm4m9mksaD3ocnrqrYqlTMyzhjHjgtyTdFEv16MqjamVS/Wkhcjx2SOQXFKMQBFSNhbvxc19hpYjBYWQRwtZg9RxMgtVVtUPS0BtRiZZk1jv8fy/cshQcKd8++M6r4AwKScSUi3pePkYSf7LUuO8znCQjkjSRzOSsiC2WgG4PvbJJgTmGM+GCQsd9cZSYUQJaklsJqsSLfGjhhJx7JRMvZZHJ4qppVzRhoNRiaQRto3Urt+jb3GL66buZbr96Olo4X1KSZn5KbKTQCUv3s4ySvhQgUrP9b8GLRQitz1++r3wel2MlGdjz+m84fOJ1mWcbDhoF+8Zrd7Rnb+Herbe+eYr2ytRGVrJQySgcVlBotprbAHd0aWJg3B9CxlOyvLV7OY1owYTo+hqNY3D7wPl9eFbyvXwuV1oSRxCIYll7D1pmcpvRG/LF+NQ62KqD28c/mR1u4VcgwkHG4HEx2TLckYnj4cFqMFdpcdBxsO9vHeDT7IGTmQY1r1IHFVgsR63OtB16EDDQd0xfCz3zgbwx8bLo5NgUAgGASI2SSBIEaYVdDzfSP56kpA6RW29pq1mJSjPPSdPuJ0SJLEhNFoOCMr2pTJiBdP+RBfXfAjPj33B7/YJ4FgoBEsppWESppUfGrDU/j5+z/HXV/ehb+u+it+/v7P8em+TyFDmZjTm/ADgMWli2E2mNm/B4MYWZSsOCOpHw6JM1aTFTt/uRPvX/J+l7cdsTMyyATp6AxlQpZ6dxGBekZqob8lTUST+NTibIlaP6Q6ex1zXnYl2lbQM1AkYVVrlS9+rXMM4PtGyrIcVkyr1hnJO8m0YiTvjKT455kFM6PeL3RI8hAUJBXA7XVjQ/kG1TJejJQkSSViXDjuQiZ2RJOM+AyU/6Ycb17wpt8ymoTje0ZSUQQ5nKnIQK/YgH4OV1AJJ6Z1f/3+kPdfJEbS9xVLzkg6ltNt6WHFpvcEqphWjThH4/fC/y5E6t9S8aeVfwprm9o+kzVtPjGSrvUU07q+fD0AYGLORJgMJuaMJCKJaA0H6rW6u3Y3Ewn1CqUKkwuRak2F2+vGrtpdTHDkxyg6p8lp/PQPT2PoY0Pxr3X/Um2L9YzsYkxrbzsjN1UoQvCojFFs/NXGtOYl5fliWkOIkZnWdCzKmwsA+OToShY/Gsti5IkF85Fty0Rtez0e3f4cXtz7NnudP9enZSrO0/8d+hQAMCQhH5MyxgIYXGIk3SNIkJBgToDRYMTYLOV7EH0je59Yd0aOzRobsEAWUNJrjJIR7e52vyQvr+zF98e+hwzZLzUmEF7Zi6vfuxoPf/9wl/ddIBAIBH2DECMFghhhVqEiRkbTGen2urGnbg+b3NaKkYAyabDq6lV47bzX8P9O+H8AwGJgdtbuZD3NuoIsyyjvrGjNTxyCEWljkG6NfUFFEPsEi2mdX6xETZEYSVGF84rmsfibf3z3DwCAQTKwSS0tSZYkHF98PADFnTfQe5SEA4kA5BpN4+LKDJKhWxPT0RQjaRnvanF73UxU1Itp5aHJbJpEpfd5ZI+qf1h32Fe/D4Di1Ah0jAl6H3LoamNaAbUY2djeyI4FPadtxM7IrDEsBrnZ2YwP9nwAAJhfND9Kv5kPSZKYuKHtPU3nDImm5KICgLvm3xX1fSEsJovu+MF6RjqbcKxFEVZITNGOGSySkju/qXgrXBGVxMjqtmq4PC6sObYG68vWs+WyLGP+C/Mx85mZ7J5Nj1gWI7XHSF8QqGckAFbAV+eoQ5OzCf/d8t+wtknjPP9v+l0p9rO6rRoOlwPfHP4GADB3iCJWDUkeoipOGpkeXTEyNzEXuYm5kCGze5ZAEfLkCtxatZWdE3yUtNYZ+d7u9wAAz2x8RrWt7sa09nbPSHKl0tgGQBXbm2HLgNVkDRnTysRISzrOK10CAHjrwAf4okzpnZhpTdd9XyxgMphwydCzAQC/XftnvLFfOTZOLJinWm9apnKMOT1OAMDE9DEYkqCMnUfbBk9MK98vkq5fNFaIvpG9i8frYc8mMeeM7Px9ZhTo94skzEYzu4/UpgGVt5Sze9Zwx+TNlZvxwuYXcNeXd4nYYYFAIBhgCDFSIIgRSIxcX7Yebq87Ktu884s7Mepfo/Dhng8B6IuRgCKsXDrhUhaJWJpaCpvJhnZ3e7ey/5s7mlifyLyEwhBrCwQDB21Mq1f2snPlhJITAPh6RlLfp3sX3osnT3sSALDy0EoAyrkXTGCjqFZyEcU69JBL8H1Muos2ptXusrPJUp5wxEi9if+q1irIkGGQDH5uCS1aZyQfHUsT392F+kVSRKugfxAoplW1rLWKuSLTbem60cSROiNHZYxCQlwCOzY/3vsxAF/xRLQZlTEKALC7brfqdRJN6Ryg6NizR53NRI7eRNUzkpyRnWIK6xnZ6YgkAXB4ms9pPLtwNr668iu8cPYLYX1eRnwGE5Xe3PEm5j4/F4tfWowOTwcA5T6torUCDrcjqHtyV52+GEnf70BGT1jvbeg8qrXX+iLVO8/TF85+Aat+tgorfroCgCJSh3PfHkyMHJE+gm3/cNNhfHXoKwDAwpKFAACjwciczUD0nZGAkpYCAN8eUVzTej0jAWBiNidGtviLkbwz0it7sfaYUmS5rXobiw53uBzsmaTbzsheOuaZGJnrEyONBiMby6jQIC9e+X2aOprhcDv8tkM9I7NsGZiRNRmXDDsbMmR8VvY1gNjtGUncMv4azMqeignpYzAzawouG34ezi4+RbVOaVIR0iyp7N8TM8agKFE5xgaTM5IKlvjndmqlIpyRvQtfHBRrzkhKT6Hn12CQS187P0RjOxD+mExJAO3u9m5H1wsEAoGgdxFipEAQI4zOHI2kuCS0udr8nARdhfqu0f8DiZFajAYj64nWncrL8jZlYi/NkgGbqWt93gSC/giJkRTTWtGiTB4bJSOb3D/SdAQNjgYcbFR6Z0zJnYJp+dMwLW8a206giFbigrEXIN2WziYkYx2tGJkWxUk5rcvpkncuwdBHh2Jd2Tq2jizLXRYjSbDITcwNGUVNk+zamFbAN/nUXVi/yHQhRvYnVM5IjeOK3E6rj65mEzP8JD9POM5I+rkopYhFSxenKuKfy+uCBAmzC2dH6TdToydGerweds7QBP6tc27FNVOuwWNLHuuR/QgF3Q/xPSNJTCEHZGVrJWRZxtZq5V6KF00lScKCkgV+veMCYZAMbLvXvH8NvLIXLR0tLMKTHwsaHA0Bt7O7VvleSYxk/fNiwBmpJ6z3NjTG82ISnac2sw1zi+bihNITYDaY4ZE9YU2kasVIvmdkVnwWOzfXla3D7rrdkCCpnMt8VGtPiJEksv1Q/gOAwP2smTOyeqtulDQlHJS3lGNX7S4WFw4A7+58F4CvACfOGNdll1FvH/MU00qiLUHnPn0HSeZE2IxWAEClTl/R2s7vgxyQD8y8i60PxHZMKwCUJhfh+7M/wNbzP8facz7EK4seh9VkVa0jSRKmZoxn/56UPpY5IweTGKmNcgeEM7KvoIhWq8ka1X69/YH7F9+Pr6/6GpdNvCzkutQ3ktKACCqABMIfk6loV297AoFAIOjfCDFSIIgRjAYji3CMVt9ImpykyY5wxUjAF9XanYcd6hcpXJGCWEMb00pxNUUpRexBraK1gp3LpamlzHl8/bTr2XZCnYtFKUUo+00ZXjvvtej+Av0UPrIRAPvOogHfq8/hcuDTfZ/C5XXh76v/ztapd9TD5XUB8LnU9KCJan6Slfqn6EVqaukpZ6TT7cRD3z2EZbuWYUeNUtQi+kX2L1TOSE0vurNGnQUA+GjvRzjYoBQxBOo/SmKkw+WALMs+AYcTI+cXz8fpI05XxZ+SExEAJuVO6rEK/1GZnWJkrU+MbGxvZFFctJ9js8bimbOe8StE6C1ICDnafJSdeySmUEFCu7sdTc4mbKtSnCg0GdxV6G9KEYSAT6iq4cQLfnzhcbgczFEwUGJad9fuxu9X/N6vb6Ie/cEZmWxJhkHyPWYbJINfUZ1BMrBj5UjTkZDbDOaMzIzPZOfmS1teAqCcn/w1kO4tgJ51RnpkpT1DoGKpUDGteYl5MEpGuL1uvLdLieGkKFMmRnb2i8xNzO1y6gMd83aXPWrx5oFoam9i93m8MxLw9Y3MT1TOa0mSfH0jHeq/ucvrQmOHImqQGFmUWIDfTrqBrRPrzshwoahWAJiYPpY5IwdjTKvKGdn5fL67djecbqfu+wTRp6m9s19kjEW0Asr95PHFx6uueYFgYqQmppVaQwARiJFNnBjZIMRIgUAgGEgIMVIgiCEoqnVNWXTESLoZrHVELkZOyFYm2z7Y80GX+0by/SIFgliCXEatLiW+jSo6h6UPQ2Z8Jpu0pF5JU/OmsvdeOuFSJmYGch7wWE3WQRHRCiiT9PzDcDRjWnln5IbyDUx0/N+u/7G4IXJFptvSYTFZAm6LJoj5B25yxoTqFwlwPSMd6p6RAIL2iQvFvzf8G7etuA3nvnkum/QVzsj+BS+Kk/hF1+TjCo9DbmIump3NeHXbqwBCOyM9sgcur8sn4HBussS4RHz4kw9x3bTr2Gt81OO8Ieo+XdGEnJGHGg8xoYCElxRLCsxGc8D39iYkxpJomm5LZ9+t1WRlY9C2qm3M/UyTwV2FxMg4YxwTMmgMCMcZubd+L2TISLOmsff3dzHy/lX34+/f/R0vbnkx5Lp6wnpvY5AMqpjjpLgk3eswiehhiZF25W9LxxTvjMyMz2Tn5pcHvwQALCheoHo/TQJbjBYmgkYTrcgWKKZ1XPY4SJBQ2VrJrp28M9JoMLLr4Ds73wEAXD7xckiQsKF8A440Hel2v0hAGUeMkpJC0NPH/ZaqLQCUgimtY1frjATA+kZW2NViZF1ngYEECWlxPlHjdxNvRGGC8p0NSy6J7s4PUKZlKs+hVqMVI1JKmRhZbq+KWjuT/o72HgFQ7glSranwyB6/GHRBZHi8nrAKZACfMzLWIlojZWjaUAD+4mGXnJFNwhkpEAgEAxUhRgoEMQQTI6PljLQHcEbGhRYjLxl/CZItyVhfvh4PfvcgAODrQ19j2GPDcM9X94T1+cIZKYhVAjkjh6UNgyRJLG5NT4xMjEvEZROUKJxQMa2DDbPRrHIWRjOmlY/HXHVkFXvdK3vx6JpHAfjEyFDuRt2ekZ2Tq7kJgeNdCa0zMloxrV8eUiaxKfLMKBn9IuUEfQs5I6vbqn3OyM6iBINkwNmjzgbg69sWyBnJ95G0u+xhu8l4Z2RP9YsElN8zxZICGTKrmOeFl/4CTfJScQJFtBJUxLDigNIfcGja0IAiTbgsLl0Mo2TE40seZ+cnjR/8WBBoQo96V47OHM0EMhqTGtsbu1xA1pOQ2KvXp1eLnrDeF6jEyACFQxGJkZ1/WxKzAzkjZcgA4BfPTi7Y0Zmjw3KwRMqw9GGqYzvQ/UliXCKLjCUXpbZoglIOqGf22aPOZuPN0p1L2THc1X6RgOJApMIget7pKSiidUreFL9lF469ECWpJThj5BnsNeobqXVG1rYr53SGNU0V555gjseqM5fhw1NexNTM7jmvY4WTCo/H6NTh+NnIi2AymJBty4TZYIZX9qLcXgWnx4mPjnzO+u3GIiymlRt/JEliYwi59QVd444v7kDeQ3n44sAXIdeNZWdkJESzZ6QqplU4IwUCgWBAIcRIgSCGOK7gOADKRFNje2O3tuX2ulkVX1diWguTC/HoqcoE/R9X/hF/W/U3nPLKKTjQcAB/X/13dlMeDBIj8xOEM1IQW2h7RvJiJOCb8CdxixcjAeCOeXdgYclCVWSrQIGPa4ymM5JEII/swft73gcAnDr8VADAc5ueQ2N7Y1j9IgF1PBzFZNFEc7B4V4LvGdnuble5Ibsa0+qVvfj2sCJgfXnFl1j1s1VYffVqlKaVdml7gp6BRPGqNp8zkp/0P2f0Oar1ebcNj9lgZq4gu8sedp89lTOyqOeckZIk+UW10r1IX4tMPNqJRW1UNBUmfLb/MwDqfpFd5cYZN6L5jmZcN+06lTjN/x8IHNPKi5EEX7jR3fvHQLyx/Q386pNfdUnspIlLPpI6EP0hphWAnzNSD7rW85OqgaC/7biscQCAmja1M5KKmAi+XyQAnDTsJNyz4B7867R/hfkbRIZBMmBSziT272DJDfx5kG5LVxVHAP6i/qzCWTh/zPkAgLu+vAu///z3AICSlJJu7TMdIz3tjNxU2SlG5vqLkReNuwgH/+8ga7UBALmdjuWytkrVuiRGUkQrT3FSIU4vOjFq+zzQSbOkYueFX+PJeX8F0BmLzPWNvPm7P+KM5Vfi2d2x28Yg0HM7pReJvpHdY335enhkD/659p8h1xXOSAV6zq2117Lj0yt7VWKiiGkVCASC2EeIkQJBDJGVkMVu8taVrevWtvgbQSZGdoQvRgLAlZOuxFmjzoLL68IdX9wBp8cJg2SAw+3AmzveDPn+8jYlplU4IwWxBotp7fCPaQXg1/9MO4FVnFqMlVeuxIXjLuzpXR1w8N9dNHtGmo1m5sgi9/mfFvwJ47PHo83VhqfWPxW2GJlsSWY9sEgwoF5vFNkWDN4Zqe0jRm65Dk8Hjnv2OFzz/jW623B5XFh7bC3rwfdjzY9oaG9AvDke0/OnY27RXBxXeFzIfRH0LiQ+dXg6WL81ftL/hNIT/CLZ9JAkicWJRuKMnJw7GRajBdPypgV0XUYLimqlKLn+6IzUTiwGckauL18PAJiY3X0xEvDF7PKObQCqyLhAMa16YqTZaGaCWU8JM7d9dhseX/d4xPenLc4WNj5Sr8BgkLDe18dJRM7I5q45I+l74WNaAUXs04r2JoMJf1r4px4tIuCd9MGSG/jzQG+M4kX9gqQCFCQX4Lwx5wFQxiujZMQ1U67Bnxb+qVv7S3+jcJ04XSWYGKnHyBQlynBn4z7V60yMtPiLkYLQDOnsy7mxdhte2qtEAO9s2BfsLQMauh/UJhqRGLmtOrQzssPTwZ5VBGro+/1478es73sghDNSIcmSxOLh6dm3rLlM1bc3nHuQ1o5W1XoiplUgEAgGFkKMFAhijGhFtfKRRV1xRgLKZOd/zvgPmxC6duq1+OtipUL1+U3Ph3w/c0aKnpGCGCNYTCugjkIsSCroVhTZYIOfxIxmTCug7k9lNVkxNW8qfjPrNwAUt8ZTG54CEFqMNEgGv76RJCLQQ3ow+J6R2sl5csvtqt2FdWXr8NKWlyDLst82nt34LGY9Nwt3r7wbAPDN4W8AALMLZ/ebfnwCf2xmG5vkd3oUVy0/6R9njMNpI05j/w4mGKrEyDCdkUNShmDrDVvx8WUfd+0XiACtGEmCQV+LTDzhOiNJ9J+QE90IRT9npD18ZyR9v0RP9o10up0oa1HEcyraCJeDjQfZzxE5I/vYQcsL+4GEuXBjWmVZ1hUjeeGVv29YWLywy/vdHXixLVgcMe+M1HNv8z0t6bmmMLkQjy95HDfPvBm7btqFZ856pttjAR0j1394Pa5adhV+KP+hW9vTw+l24seaHwHox7TqMTF9DABga/1O1es17crfO6uPXb8DlaJOZ+TftjzBrp/V7bUB19e7dxpI6MW0Ar4xJBxn5LlvnovChwtxtOlo9HdwgEP3217Zi5e3vhx0XeaMHORiJOArvKVnX+oXaTKYAIQXm01pAnQf29DeELAASyAQCAT9DyFGCgQxBkW1dluM5KqEWztaVVGA4YqRgNLPZf216/HJZZ/g6TOexpWTroTJYMLasrXYUb0j4PtkWUZ5q3BGCmITPqa1wdHAJn/pAY2PW9NGtAqCwzsjIxmrwoEXGWfkz0CcMQ4/nfRTXDPlGsiQ2YN1KDES8E3808MzOVzCiWmlCdgGRwPKW8pVy6hSm7br8rp0XR9bq7YCAP694d9od7ezHoPHFx8f8vMFfYu2OEE70Xju6HPZz4FiWgHfJE5TexObVAsn2nJkxsiwjtPuEiimNdPWf8RIq8nKJtCAwM5IIhoxrTyRxrR6ZS8Td3lnJNCzYiTf65HGunDhHQ+ROCP7VUxrN3tG0n044ItpdXqcrOdiRnwGshOyWb/fBSULurfzXUTljAwzplXPGcmfRyRGAsBNM2/CY0sew/D04d3cU4WrJl2FVGsqau21eHHLi1jw3wV+aQPd5evDX8PtdSPNmuZXrBCICZ1i5P7mQ2jtjPMHgse0CkJTlKgcaxV23zhS5dAXIy/4/FpMf2b6gO4pSdd1v5jWzqKYw02HWcKCHuUt5fh478docjZh6c6lPbejAxS+R/vzm54PKl4zZ+Qgj2kFlN7ZgC9+nfqCU8x3OL2rDzUeAqDcj1KhqIhqFQgEgoGDECMFghiDd0Z2p6JTW5VWZ6/rkhgJKD2mTh1+KiRJQk5iDs4YeQYA4IXNLwR8T3NHE+xu5QFciJGCWIOPaaXK5MLkQuYk4AU1IUZGBn13KZYUGA3GqG6bF4HmDpkLQKnkfeasZ/DOhe8wJ+bIjJEht0Xr0sQ/TYCGE9NKrkoZMhMWCJp84vu+6cVHkUBZ56jD0p1LmTNSiJH9H60QqHVdLRm+BPlJ+RiePjyoaEhiJAlFEqSo9lntLrwzUpblfhnTKkmSyunAO7oAIC8pj/1sM9mY+z1aaMXIUDGtZc1lsLvsMBlMbEKQIJdYT4iRvNjG72M40IQloIxXbq874Loer4ftf187I8PpGUnXq2Znc9BenfT3TTAnICshi527gOJAtJqskCQJ1029DrMLZ+PkYSdH4TeInHHZ45g4HyymtTStlBVlhYpp5cXIaHP+2PNRfVs1Vl65EhOyJ6DN1YYHv3swattvdjbjFx/+AgBw4dgLIUlSWO/LtKYjP14pZNhev4u9XttZYJAZ5dSHwQLFtPJU64iRLq8L7x78GBsrNgYtnO3vBHpuT7WmsnvYYG1TPt7rS0D4ZN8nPbCHAxu+R/vuut1BC8GFM9IH3QdRodHeOsUZSX1zZcjs+woE9YssTin2OS1FVKtAIBAMGIQYKRDEGJNyJ8FitKChvYHFXnQFrZOGbzTeXbfR1ZOvBgC8tOUluDwu3XWoX2SaJQM2k61bnycQ9Df4mNYtVVsAqB0FfNyaECMjY2zWWADKZGe0yU3wuZzmDJmjWnb+2POx85c78clln+D0EaeH3BbvQvLKXlYAEk5Mq8lgYmImxb8RzBnJuaIqWv3FSBJ2AOCer+5BeUs5zAYzc9cL+i98XLDFaPGL1U2yJGHbDdvww3U/wCAFvtUnQeNoc+f11pYWdQG/OwxPi9v1cwAAYAdJREFUHw4JEhrbG1Fjr8HOWiWyMBzBvjfhnQ6BYloBRaiJ9vcbqTOSrjfD04f7HTc92T+PJg6ByJ2RvBgJBBczG9sbIUMpxOPFwL4gnJjWeHM8E9eDuSPp70p/b/46wYvzjy55FN/9/LugEak9idVkxYLiBTAZTEGLcgySgbmztG5iQLl+S5BgMVp6/B7IbDRjYclC1kbiifVPRCyYB+LXn/4aBxsPoiS1BP84+R8RvXdCuuJc5qNaRc/I7kHOSAA4u/gUAPpiJP8aubYGIiymVWf8uXT8pQCA17e/HvD9H+39iP381aGvWGsJgZIyQL00TxmmHEsPfv8gc0BqYWKkcEb6xEhNTOvYrLHs2hWqKIpiWotTiv22JxAIBIL+jxAjBYIYI84Yh2n50wAAXx/6usvb0TojeTGyuzfSS0YsQW5iLmrsNaoHHR7RL1IQy/AxrZsrNwPwxdMASrRivDkeBsmA6fnT+2IXBywjMkbgqyu/wtKLoh8pxUcuzh4y2295TmIOTh1+aliCAy9GNjgaWNxeuK4vWo/ESIvRAiByZyTgmwiYUTADNrMo/ujv8G7HQFGI6bb0kIVDTIzs7AXV17GWWmxmG4us/s8P/8GaY2sQZ4zDqcNP7eM9U8M7HbSxuPyYMSE7uv0iAbUY6ZW9qiIDrTOypq0GN39yMwClN6yWdKs6prXF2YL/bv4vFr+0GEMfHcp6TXYFlTMyUjGyUS1GBusbSeNaUlwS4oxxEX1OtAknphUIL6pVK0byY0B/cgoDwAeXfoAjtxzxcwlr+ePxf8T5Y87HOaPP8VuWnZCNV857BUsvXqpygfYkp404DdPzp8PusuOh7x/q9vaW7VqG5zc/DwkSXjrnpYgLOfX6Roqekd2jNEk514ySEXdP/TUAoM7ZAJdXXRhbFSNiZKCYVgC4cNyFMEpGbCjfwJxpPE63E58f+ByA4up3epxYeWhlz+7wAIIXZm+ZdQsAYOnOpch/OB/XvH+N33HDYlqFM5I5GbUxrSPSR/iKokL0jWTOyNRiP6elQCAQCPo/QowUCGKQWQVKpNF1H16H3AdzcdWyq4LGWunRk85Ik8GEKyZeAUDpsaCH6BcpiGUoptXtdWN9+XoAajHSZDBh2cXL8PaFbyM/yT9WShCcBSULesYZ2SksjMoY1e0JYNYzsr2BTc6nWFJgMVnCej9FEJIYSZGLNPnECxHBnJG8C3d+0fyIfgdB38A7I4NFIYZC64zs61hLPSiq9c/f/BkAcM2Ua3SdVH0J3RNl2DL8hBM+pjXa/SIBn0vU6XHicONhVtQAqJ0FTrcT5711Hg41HsKwtGH4x0n+Li2+QKLWXouhjw3Fz977Gb48+CUONh7Esl3Lgu5Lg6MB/1j9D11RLVoxrUDwvpGsX2Q/OJbDiWkFfGNwV8XIcNz0vYnNbFMd94E4bcRpeOeidwI6nX8y4Sc4bcRp0d69gEiShLuPvxsA8K91/1IJ+zw7qnewWPNgPLD6AQDAb+f8FvOLI7+26omRomdk9xidOhwPzLwLLy78Jyalj2XJAfS9EpV2n8N8IIuRwZ7bsxOyceLQEwEAb2x/A26vG3d+cSdu/OhGdHg68O2Rb9Ha0YrcxFxcOelKAOrY1sEOuSINkgGnDDsFL53zEsZljYPdZcdzm57DmCfG4KaPb2Jjt3BG+iDx8EjTETjdTuZoHJExghXFhXRG6sW0CmekQCAQDBiEGCkQxCA/n/pzTMqZBINkQFVbFV7c8iLWHlsb0Ta0N4FVbVXsxru7YiQA/GzKzwAoDzZ6rh3mjEwQzkhB7EHOSADYVrUNgBKxzHPSsJNw3pjzenW/BME5dfipOHnYybh7wd3d3hbfMzKSfpEEiaFtLqU6mx7GKaaVd0ZWtlaq3sv33/vtnN+y10W/yIEB37s0mOMqFOSCZWJkP3TbkBjZ4elAnDEOt8+7vY/3yB+aXNQTSdOsacyh1xNiZLw5nsWaUf9h6tnncDvgdDsBALd+ditWHVmFZEsyPrj0A12xjhcjV+xfgVp7LTLjMzEjfwYAoLylPOi+PLvxWfzu89/h+BeO91u3qzGtHq8HBxsOAvAdC+E4I/vDscx/x+E4Iyl2Tg+/mNYE/ZhWQfc4Y+QZmJo3FW2uNryy9RW/5bIs45RXTsGC/y7A6iOrg26LHOcXjbuoS/vCi5GyrEQPCzGy+/xu0o24bPh5MBqM7HuscqjHJJUzsmHgi5GBxh+Kan1t+2u4+r2r8ddVf8VTG57C71b8Dh/tUZKLTht+Gk4fqbQe+GTfJ+xYjAayLMPj9YResR9ChX+JcYmQJAk/nfRTbLthG7792bdYMnwJ3F43nlj/BBa9uAhe2SuckRy5ibmIN8fDI3tw7QfXot3dDpPBhKKUItV9SDBYTGuqiGkVCASCgYgQIwWCGGRs1lhs/sVmtNzRggXFCwAAO2p2RLQNmtChqtFDjYfYsu44MYjRmaMxd8hceGQPXtrykt9y6hkpnJGCWMRsNLMJahkyEswJ7GFK0H/JSsjC8suX4ycTftLtbfEP3OQUisThop2AHp42HIBv8ilYz8g2Vxs6PB0AgJ9O+ikm505GQVKBcEYOEFQxrdFwRjb1Y2dk5ij28zVTrgkZ/dgX0OSi3r5JkoQLx16IMZljeqwfKx0PJEaWpir99gBlHJBlGS9ueREA8PK5L2NM1hjd7fBjEjm/Lp9wOa6YpCRZlLWUBd0PEgkPNx3GKa+conJnd9UZWdZSBpfXBbPBzFoQ6DkjP9j9AX6z/Dd4ZuMzAPrHsRyuM5LFtDZH4IyM778xrQMZSZJw6jAlBlov8q+ytZKdB7d/cXtAYUaWZb+/WaSMTh0Ok2RCU0czjraVQ5Zl1IiekVElx6bcc1Vr0oB4cXIgOyOpOC1QEfG5Y86FxWjBrtpdeHnryzBKSouBR9c+iuc3K8lFp404DYtKFsFitOBQ46FuxXXzyLKMeS/Mw8R/T4w4vak/QN8tP7ZLkoR5RfPw8WUf48srvoTVZMWPNT9ib91e4YzkkCQJfzz+jwCAl7e+DEBJdzEZTGGJkU63kz3X8M7IsuYytLvbe3LXBQKBQBAlhBgpEMQw8eZ4TM2bCkCJFYoEiroqTVWiDqnazGK0hB0jGIqrp1wNAHh+8/N+D/TkjBRipCBW4d2RE3ImhNVnUBA76MW0RuSMtKknoJkzMoyekeSKtJqsSIpLwvc//x77frWvWy47Qe/Bx7R2J6kg3qSIkXT89Qc3mZbRmaMBoN+6IgHf32BIsr5Q+sp5r2DHjTtYPHe0IbGDis5yEnPYhGeDowHNzmaWbEGxfHqoxMgjihh5fPHxKEhS+mCWNQcXI6kQAlCE0bPeOAserweyLPv1jAzXXUMRrSWpJchLVKI/tc5Ip9uJi965CI+seQTv734fAPpFvHl3e0bur9+P+76+Dw2OBlTbhTOyt6Bjp7zV3wm8s9YXmbrqyKqAfe8b2xtZH8JIrus8ccY4jEkbAQDYWvcj7G4H2j3KRLvoGRkdsq3K91jtUEfyVjp8Ma3lLeWq/oD9GbfXjTs+vwPLdi2DV/YG7RlJr5Pr0SAZ8Op5r+K22bcBUMZzs8GMk4adhIS4BCwsWQggelGtje2N+O7od/ix5seQrvvuIMtyyP6DXYG+20Bj+6LSRZiSOwUAsKF8g3BGarh93u1YetFSpFpTAfju9eg+VNsuiIfSPGwmGzLjM5EVn4XEuETIkFmSgkAgEAj6N0KMFAhinHFZ4wB03Rk5MmMkAN+EUDQiWokLx16IBHMC9tTtwXdHv1Mto56R+Yn9zwUhEEQDitYD1P0iBYODNJsvppWcQrzbJRRa58/wdMUZSdXawZyRrK+aLQOSJMFqssJqskb4Gwj6CpUzshsCsra/YX8UIxcUL8D/Hfd/eP6s5/ulKxIAzhtzHkZljMKFYy8MuI4kST32+VpnZHZCNouBbmhvwLFmpbgr1Zrq9zfnIfFsX/0+1ot2fvF8nzgTYsKYxMhrplyDBHMCVh1ZhfXl61Fjr1G5FTo8HWwiNxR07zk0bSgT4bVi5KHGQ2h3t8NqsuLmmTfj5pk34455d4S1/Z4kxZLCnEbB7p0D9Yz8w8o/4E9f/QnXfXhd0J6RQoyMLnS864nv5Aoj5/Htn9+uGzNJx2iKJaVb11Y+qpUiWi1GCxJMgc9jQfiQMzJYTCvg37e2v7Js1zL8bfXfcO0H17ICFCC4M/uOeXdgev50vHbea7h4/MW4f/H9mDNkDgBl/Kexa8nwJQCALw99GZV95Z32JNR1BVmW8eLmF7G5crPu8oe+fwiZ/8jEe7ve6/Jn6KHnjNQyPX86AGBd2Tp2zRPOSB/njjkXm67fhFuOuwX3LLgHAMJyRvIRrZIkQZIkEdUqEAgEAwwhRgoEMc647C6KkZ2T1dSjpyfEyCRLEuul8tym59jrsiwLZ6Qg5uFdMpNzJ/fdjgj6BP6Buzs9I4mhaUMBROaMFJPYAxNVz8goxLQS/SHaUovRYMQ/T/0nLpt4WV/vSkBOKD0Bu27ahUWli/rk86mIgVxb2fHZrNihwdHAJn31elry0N+fitHGZY1DZnwmCpIVZ2RFawW8sjfg+2nsmVs0l30Xa4+tZROHBUkF7JijMS8UFJU5NG0oO+61Ma00+TgifQQeW/IYHlvyGCuk60skSWJ/h3BiWstbyuHyuNjr1Ov9nR/fYQV7Qozseeh41xPfd9Yo59g1U69BmjUNO2p24NVtr/qt192IVkJPjMy0pvVoccNgIttGzkhNTKumr+1AiWpdtmsZAOUej8Q5k8EUVBCfnj8d669dj4vHXwxAaSPxzoXv4Fczf4WHTn6IrUc9j6P1XVCRDAAWYdoVvjv6Ha567ypctewq3eWrjyq9XdeWre3yZ+gRyhkJ+MTIlYdWsteEM1JNSWoJHjn1EUzJU1yk4YiR1DqICnkAXzrMnro9PbSnAoFAIIgmQowUCGKcsVljASh9TkI1AydkWWaTUdSvye6yA4iuGAmA9SL6cM+HLLaruaMJdrcSiSPESEGswse0Cmfk4IPFtDq4mNYu9oxMt6UzJ5TdZYfH61H1a2tztbEqbkCIkQOdFEsK6zkbVTGyHzojBaEhwYP6wGYlZKmckeTworjVQPCxooAS0QoAuYm5MEgGuL3uoCIiOSOT4pIwq2AWAGBN2Rrm+CtKKWJjXLh9Iw80KoVww9KGMWekdh9IsKTJyP7EpeMvxbiscWwiX4+shCxYjBZ4ZS8Tjusd9TjY6IubI2cpi2mNFzGtPQU5I/XEdxL8ZxfOxm1zlDjL17e/7rcNOkb5wpGuMCFdiS7cWr8TNe3Kc1mWVYzT0SK7M+5e64ys7Pw3jTkDQYx0eVyq2ODPD3wOQHluj1S8zkvKw6NLHlUVSpaklgBQXGnBilLChXceh+uMlGUZH+75kPW5Bnwi4566Pbrx31SMR/e90SISZ+S26m0AotvqJlYJyxnZ1OmM5MRIuud4b3d0HbACgUAg6BmEGCkQxDjJlmTWx0jbN7LB0YATXzoRT61/SvV6m6uNTWqRM5LfXjSZVTgLZoMZNfYaNmF1qFl56Eu3ZsJmskX18wSC/gLFtEqQMCFnQh/vjaC34cWC7jojsxOyVdXZrR2tKmckoI5qpWKT/uiEE4RGkiQmSkQ1plUcDwMSrfsqOyFbVexADpRQYiSNSQSJkSaDiU3KB4tqJTEy2ZKM4wqPAwCsObaGTRwWpRSxMa7GHqYYycW00u+pjWklZyTFtPUnHlvyGLbfuD1ov1CDZPDrG/lD+Q8AlO+Mn3AVzsieJzcxFxIkuL1uP9GcYlrHZI3BCaUnAAC2VG7x2wa5d6PljNzVuA+/WXMvACDTmh7sLYIIoJjW6naNM7JTjJxbNBfAwBAjvzn8jeq+b8WBFQC6V7DEMyRlCIySEU6P08+d3hVUMa1hOiOf3/Q8znz9TFyx7Ar22qbKTQAAh9uh22ewsrUSQPjXnHAJxxk5KmOUqvBURLSGRpvQoAcTI1N918ZLxl8CCRK+OfwNS2MQCAQCQf9FiJECwSAgUFTr2z++jS8OfoEHVj+gep0iWuOMcaobPSD6YqTVZMWkXMUVtq5sHQBgQ5USRzU5a0ZUP0sg6E/Q5OSw9GGq/pGCwQHF93llL5tMj2Tiknex5STkwGK0wGwwA1Aqittcbar1+KhW5oy0iUnsgQqJQ8IZKdCOG1nxPmdkvaOeTfpS/GQgLCaLauKUxEggeB89gpwiyZZkzMifAQkSDjUewvry9QAUF0PEzki+Z2Sny6ymrUblzKF1+qMYGS4kRu6t2wsA+KFCESNnFc7Ck6c/CQCwmWzsHM1KyGL9KLsreAnUmAwmdqzxgkmzs5n9e3TmaEzIngAJEipaK/zcuiymNYI+0Hrkx+diQd5syJCxs1E5NkhAE3SfbCvFtPpccx2eDtQ7GwEAc4d0ipEN/mLk8n3LmdDVHyBHGBUn0DN1tJ7bTQYTi/rmXdtdhb+WaIvn9LC77Lj7q7sBAKuPrIbD5QAAbKzYyNbRilCyLLNCvHCvOYFYtmsZrv/gejjdTgDhOSONBiOm5k1l/xYRraEJxxlJf/MxmWPYa0NShmBhyUIAwGvbXuu5HRQIBAJBVBBipEAwCBiX1SlGapyRq46sAqBUmPGN7plrxpbhFxsYbTESAGbmzwTgi1pZX6X0d5ieMzfqnyUQ9Bdo0lf0ixycWE1WJgaRG6arMa3ZCdmQJIlVaB9t9kVYjc5UYt74STMR0zrwyUvKA+ATtbuCcEbGBnrOSNYzsj38npGAbyJwePpwJkACPiGTF2e0sJhWSxJSrCmsTcAHuz8AoAhutK/huFQaHA1srBqaNpSNjx7Zw4rmAM4Z2Q9jWsNlzpA5AIBP938KwCdGTsubhtNGnIbXznsNb1/4NsxGpeDEarLiydOfxMMnPyzG8R6AXMS8E5hckbmJuUi1piIhLgEjMkYA8HdHRiumVZIkrDz9bWw5bwX+PvMPuGLEBbht4vXd2qbAR07nmMLHtJIwaZJMmFmgPJ9qnZFLdy7Fqa+eiv/79P96aU+DI8sy6xd51/y7AIAVbETzuZ2iWqlnX3dQOSPDiGl9fO3j7Hx0eV1YX74edpednZeA716aaGhvYElP3XVG/uHLP+A/G/+Drw9/DYBzRoYoCKOoVkA4I8NBK0Y2tjdiW9U2tryxvZHNZ9F1k7h84uUAgJe3vqwb2SsQCASC/oMQIwWCQQATI2v0xUgA+LHmR/Yz3QBmxGcgMS6R9aYCekiM7HzYW1e2DrIsMzFyhhAjBTEMTcpOz5seYk1BrKKNRYwkpjXNlgYJSh8grUuO+ukkxSUxAULEtMYWt8+9HVdPvhrnjD6ny9uwmdUx6MIZOTDRFSO70DMS8E0EHl90vOp1em8wZyQf0woorj4AzKUdSc9IWZbxq09/BQAYkT4CSZYkmI1mdoxSVKtX9saEM/KsUWcBAD7d9ymcbieLaZ2WNw0AcOmES3H6yNNV77lu2nX49exf9+6ODhL0nMAsopVz41C/782Vm1Xvp+MzGq5VSZIwMWMsfjvpBry48FFMzhjf7W0KFLKtipBf7ahj4kVVpxiZbcvEyIyRAJR7KurbCihiJKD0KewPbK7cjKPNRxFvjsd1065TFSh0J8pdS2laKYDwxUhZlgO6HiOJaW1wNOBvq/8GwHefsvrIamyr2qZyyWvFSL4Ir7vOSNoWFRqQMzJUso1KjBTOyJDwEfMerwdXLrsSk/49Cd8e/hYA8P3R7yFDxvD04X7FHuePOR8WowU7a3f6jckCgUAg6F8IMVIgGAToxbSWNZepYlZ41yRVnKfb0iFJkuqhpifFyB8qfsCRloOobCuDSTJhSvbMqH+WQNBfuHP+nXjklEdw44wb+3pXBH0EPXQTkTgjTQYTcz9p+wfShEyaLQ15iYqDTjemVThqBixzi+biubOf69bfkHdG2kw2P3FSMDDwi2lNyPI5I/mekSFiWvl1FpUuUr1O4kygnpFOtxMurwuAvxhJRNIz8pmNz+CVra/AKBnx7FnPstdp8pF6llW0VKDd3Q6jZGRRpwORqXlTkZ+Uj9aOVry78112f85H/Al6D73jfWfNTgC+tAHAl2yxpUrfGSkidPs32Z3CVoe3A80uRVyqdHS6Wm2ZyIrPQlJcEmTIONignJMerwef7lMczLxDuy8hV+TJw05GvDkexxUcx5ZF1RmZUgIA7LsIxQOrH0D6A+n4aM9Hfst4oT+UM/Jvq/6GxvZGTMiegDvn3wkAWH10NesXSWjFSP6+t6G9AW6vO6z91uLxelihNv3NW11KolQosVc4IyODnotkyKhuq8byfcshQ8br218HoPzdAV+EMk+KNYUV9ryy9ZVe2mOBQCAQdAUhRgoEgwCKyqpuq2aT0LwrElALlXxMK4AeFyNHZY5CUlwS7C47Xt31HwDA+MwpsJniQ7xTIBi45Cfl45ZZt0S1alkwsODFyGRLMiwmS0TvpzGaiZFxGjHSmsbiPFXOSLt6jBcMTngxUrhkBy4Z8RnMJS1BQoYtgzkjq9qqmPAXTkzrwyc/jMdOfQyXjL9E9TpzRgaIaSVXJOBzivAT4gBQnMr1jAwiRm6s2IibP7kZAHD/4vtVvSvJBU7OM4poLU4tZhGmAxGDZMCZI88EAPz5mz8DUKJpuxPDLOg6ejGtO2sVMZJ3RpIYGcgZSceroH9iM9mQZFbGq6rOMYmckbnxSvz98PThAHxRrevL17PnZHqm7msoOvSMEWcAUI+9yXE9ENPadCis9d/c8SZkyCx2mnC6naprQChn5Ds73wEA3LPwHnY9WH10NXOQp1pTAQBHmjViJHffC3RdPK5z1EGGzH4GwusZCSiR57SOcEaGJs4Yx+4hPj/wOZwepUfn+7vfhyzLQcVIwBfV+tr21+DxenphjwUCgUDQFYQYKRAMAhLjElGcUgzA54D89ogSd0ETViox0t67YqRBMmBGwQwAwCs7nwYAzMiZF/XPEQgEgv4EL0ZG4ookyAlEE0TMGdk5IZNqTfU5I1uFM1KgRiVGCmF6wGIymJiYnBmfCaPByEQsiuC3GC1h/Y1HZY7CzcfdDJPBpHo9VM9IEiMT4xJhkJTHy7FZY9mkYlJcElIsKT5nZJDIvD+u/CM6PB04a9RZuG3ObaplWmfk/vrOfpEDOKKVIEcHxYFSRKug92ExrS06Ma1Z/jGtu2p3qWI8hTNy4JBt64xqbVeefal/ZE7n61ox8uO9H7P3OtwOOFyOXtvXQND9He0r70rvq5jWekc966VKwh2hFQlDiZHkShybNRaTciYh3hyPxvZGLN2lxOWeNuI0AMFjWoGu943kr1d0/8x6Rob4fg2SAdPylbFciJHhQc9GH+z5gL1W1lKGdWXrsPbYWgBKOogepw4/Fem2dFS2VuLLg1/2/M4KBAKBoEsIMVIgGCRoo1rJGXnlpCuV16t1nJHxvSNGAsDMfCWStamjEQAwI1f0ixQIBLEN3zMykn6RxONLHsdTpz+FE4eeCEDHGWlLQ25iLgBfXJUsy0KMFAAQzshYgkQPGkdoMq+1Q4mSy0/KhyRJXd6+nlOMhyZm+XtEo8HIYviLUoogSVJIZ2SHpwNfHfoKAPCXRX9hwiYRyBkZC2LkCaUnIMGcwP4txMi+g8R3Ot47PB1MjOJjWvOT8pEZnwmP7GHPUe3udibOCzGy/0OiI4mQlXYSI5WxisYWEqM/2feJ6v30zNwVfqz5EZe8cwkrGukqJLrR/R4V+AJRjmntLHw73Hg4pOvs28PfMjchXR8Ibe/hYDGtsiyz8ynFkgKz0cycnyRSnjPqHADBY1qBrveN5K9XkTojAeDEUuUefUTGiC59/mCD7l8oDtkoGQEA9359LxxuB9KsaapxmCfOGIeLx10MAHhlm4hqFQgEgv6KECMFgkHCuKxOMbJ6BxrbG7G1aisA4Lpp1wEAjjYfZTf7fjGttl4QIwvU/SFn5AgxUiAQxDbddUaOyRqDX0z/BYwG5UGdKrSPNh0F0OmM1MS02l12FnskBKjBjXBGxg4ketD/+UIHILx+kcEgp1i9o17XCUT3j9qJ2VkFikOHXNwklla3VUOWZb/trDm2BnaXHdkJ2RifPd5vOYmR5DxjYmT6wBcjrSYrThl+Cvs3uWkEvY/WGbmvfh88sgdJcUlMmAcASZKYO5KiWunYNBvMLD5S0H/JtnY6IzvjWUmUzO0UI6nn34tbXsTHez/GhvINAHzXz+70jXx247N4c8ebeGr9U13eht1lZ+MviZGp1lQm1kTzub0gqQAmgwkur8vP3aiFikoAHTGy87yiePHG9saA22ntaIVX9gLw9VycV+RLT0q2JGNhyUIAiijrdDvZMu0+6sXqPrn+Sfz601+rnM1aeBGT/t7hOiMB4Hdzf4d116zD9dOuD7muwHc/St/xNVOvAeArBJgzZI5foRIPRbUu3bkUbR1tPbmrAoFAIOgiQowUCAYJU3KnAFAepv6x+h+QIWN4+nCMyRrDYvyoMpPFtPamM5ITI4uThiI7PrdHPkcgEAj6C7wYGQ0HBfUGosirNGsaG9/rHfVwup1sMsZitKhcOILBhxAjYwfmjOwsatD2GgynX2QwUq2psJlsAPTdkTQZrr1HvGryVZhdOJtNwtL+tbvb0ebynyT8/MDnAIDFpYt1nZwsprUt9mJaAeCskWexn6fmTe3DPRnckBhZa6+F0+1krrjRmaP9jkvqG7mlSomk5CNau+NGFvQO5IysdmhjWpWx6twx5+LMkWfC6XHinDfOAaC4lqn9SShnZFN7Ezo8HbrLtEUVXYEiq60mq2r8pbFkYs7ELm9bi9FgZIUloaJavzr8FfuZ7ykM+JyRQ9OGAgge00rLTAYTuwbx/QIn505GZnwmu5851nyMLSMxkkRPrSNflmX8Zvlv8M+1/8Sl714Kt9etuw/ddUaajWbMKJjBCgcFweGfjSxGC+5ecLdKfAzUL5KYXTgbpamlaO1oxfu73++x/RQIBAJB1xFipEAwSDhvzHk4aehJaHO14f5V9wPwVRZS9TlFDPk5I3tBjCxILmAP/9OFK1IgEAwCeMGgK85ILdoK7VRrKtJt6YgzxgFQqsZpfM+MzxQTpYMcEdMaO2THq52RyZZkNgELQOXm6gqSJPlFV/LQxKz2HnFExgh89/PvcPboswEoPSUtRgsA/ci8Lw5+AUARI/VgMa2tmpjWGHBGAkrfyKKUIpwy7BTVhKygd8mwZbDrZkVrBUuT0YsGDOSMFBGtA4NsbUyrpmekQTLgxXNexNC0oXB5XQCUHoX0bBzMGVlnr0PRP4tw4ksn6i/vvB/rjhjJR7Ty93R/PfGvqLy1ksX4RwuKaj3YcDDgOny/SMC/ZyQJhmOzxgIIHtNKy1IsKez3m1U4i13fpuROgSRJTCQ93HSYvZe+G4pH1V5zGtobWFLIsl3LcO0H1zIXJk93nZGCyOCvfdPzpyM/KV/lhg3UL5KQJIm5I0VUq0AgEPRPhBgpEAwSLCYL3rvkPZw87GT22rwhyo0dRbhur94OwHejTTeDvBjZk83XTyg9AQCwoPDkEGsKBALBwEcV09qFnpFatBXaadY0SJLEorsqWyuZM1KITwJyGQDCGTnQ+cmEn2BmwUz8ZMJPACgT6HxEZHfFSMA/upKHxbSGmJiVJImNdVqXSrOzGWuPrQUALB6qL0aSwFPVVoXG9kbWM4wcNgOdNFsaDv7fQXx6+ad9vSuDGkmS2PFe3lLOepcdX3y837q8M1KWZSaUk4tX0L8hMbK6nWJalf/nxvvE5DRbGt696F1YTVYAwBkjz2D3UMGckZsqN6HZ2YxNlZt0l9Pz9qHGQyF7MAZC2y+SMEiGHjkGS1JKAAR3RvL9IoHAMa0kRrZ0tAT8/ckZSRGt9POkXKUIgHrrkhjJ942knpETsicA8L/m0HdnNphhlIz47+b/4rG1j/ntg9YZ6fF6YHfZAYTnjBREBv9sRCIkOX3NBjNm5M/QfR/PZRMuAwAs37ecFYgIBAKBoP8gxEiBYBBhM9vw3iXv4cKxF6IopQhnjDwDADAuu7OfZI3ijKTJnd6MaQWAR099FP89+QOcN/yyHvsMgUAg6C90t2ekFj1nJOCbpKporWBiJD+uCwYnZqMZJoMJgBCnBzqzh8zG2mvWYs6QOew13nnd3ZhWwCdoUsQeT6CYVj1orNO6VL45/A08sgfD0oYx940WmlyvbK3E69teV15LyEFiXGJ4v8QAIFgvLEHvQcf75srNWFe2DoDiiNMyOnM04oxxaHY242DjQeGMHGCQA7LKXgunx4kGZ6PqdWJy7mSsvHIlXj//dcwsmMkKeII5Iw80HAAAtHW06fbIJSGzw9Oh6zgPh0BiZE9RmlYKILgYSf0iKXlJ64zUipGAv2BJ8M5InqdOfwp3zrsTF4+/GABQlKwWIx0uBxMySYzU9oykwoFh6cNw36L7AACf7f/Mbx94MdLusqu2I5yR0YcvjqNI1ovHX4zM+ExcMPYC2My2QG9ljMochRn5M+CRPXhz+5s9tq8CgUAg6Bqmvt4BgUDQu1hNVrx14VuQZZnFnZAzckfNDni8HtZInm4G+UnKnhQj023pOKn4jB7bvkAgEPQn0qw+sSAaE5d+zshOMYL6Rla0VLCeOMIJJwCUqNZmZ7M4HmIQfnyhiNXuwMRIHWckTSRT39pgBHJGfnEgeEQroIiq0/OnY0P5Btz48Y0AYieiVdC/IGfkc5uegwwZU3KnsNd4zEYzpuROwdqytfjm8Desn2l2vBAjBwK8M7K60xVpNpiRZkn1W3dW4SzMKpwFwHcPFcwZST1tZchwuB2qaHRALWTub9iPISlDIt5/JkYm9I4YyWJaGwPHtFK/yDNHnont1dsD9owcljYMFqMFTo8TTe1NKjc/oeeMBNR/C8DfGUnfi9VkxfD04QACOyNzEnKY246PeSW0hTO0jslgYrHjgujBF2pSgVVhciGqbquKqFjn8omXY335epb8JRAIBIL+gyi9FAgGKXxfCapMLG8px8HGgyxahW4GaSI73hzPImoEAoFA0D2iHtMawBlZnFIMANhYsVE4IwUqEswJAMTxEIvw40s0Y1r1HDzhxrQCvsIL7QTv5wc/B4CgPc4MkgFfXPEFLhx7IXttWJoQIwXRh473jRUbAQCnjzg94LonDT0JALB8vy8SUMS0DgxybMq9V7WjjkW0ZtsyQooe4cS0Hmg8wH5u7WhVLXN5XExoA3wuykjpbWckiZGBnJF8v0hKYOJdj7Iss2tIQXIBExn574KHCqRDtYkpTlXuc0mMrGhVIlrzEvN8BTCaaw4VDuQm5rL3H2487Odi1YqY9LsnxSWJ3us9AI2dY7PGqgriI00N+OnEn2Lfzfvw9JlPR3X/BAKBQNB9hBgpEAiQYk1hEV5Tnp4CQHFAmo1mAEBeUh7+ffq/8dI5L4mbboFAIIgSUY9p1ekZCQBnjz4bAPDOznfYJJAQnwQAcOvsW3Hu6HMxNW9qX++KIMrwMa15SXnd3h65K4P1jIwoppWb4K1qrWLuhUWli4K+P9mSjDcveBNPnPYERmeOZr2hBIJoohXwTx8ZWIw8ZfgpAIAV+1cwcUjEtA4Msq2K2NHY0YTX9v0PgE+gDAY5I7XRnzzkjASUqFYeaomit24kVLb1ckxrqhLTerT5KEva4KF+kaMzR2NkxkgASrQp9YSsc9TB6XECUAR/EhlJdNTCYlqtwcVIrTOS+kXmJubqXnMAtTOS3t/mavMTmEnElKDMgZAYGUvx4P2JE4eeiLvm34V/n/7vbm0nzZYmkhMEAoGgnyLESIFAAMAXg9Ha0QoJEi6fcLlq+fXTr8f5Y8/vi10TCASCmCTZkozZhbMxKWeSbvxbpARyRi4oXoD8pHw0tjfi3Z3vAhAxrQKFW+fciqUXL2XFR4LYgYoRchJyEGeM6/b2gvWMZDGtXRQjqSff+OzxYRVKSJKEG2fciJ2/3MmEIIEgmvDX5Mz4TBbjqMdxBcchKS4JdY46rD66GoAQIwcK6dY0nF2sjCGPbH8GAJAbjhgZH7xnpCzL2N/gExi1zkit4MW7KCOht52ReUl5MBvMcHvdutcC6he5sHihqkCOrhH0nqz4LMQZ43zOyHZ9ZySLaQ3hjOTFSFmW2feSl+RzRtbaa1WuR94ZaTVZ2Xd4uNEX1eqVvUxw1rpCRb/IniHOGIe/nPAXzC+e39e7IhAIBIIeQoiRAoEAgNII/v1L3sfm6zej7c42PHH6E329SwKBQBDTSJKEVVevwsbrN8JoMHZ7e1ohgJxRRoMRl4y7BADQ0N4AQDgjBYJYh8TIaPSLBMASNMpayuDyuFTLWExrXOjJWb3IvJ21OwEoYqRA0B/gz5slw5cEvUabjWYsHqr0Om13twNQigAEA4M3Fz+FS4adzf4diTMyUExrvaNe1SvRT4zUiJh6zsgN5RuwbNeyoPvR22KkQTKwSNNfL/81Djaoe0dSv8iFJQthMVlgNiiFTi3OTjGy01lP5xeJjCQ63vLpLTjhxRPYNYY5I0OIkQVJBZAgweF2oM5Rp4pppftdt9etioNlzsjOWFBqacD3jWxsb4RHVlydozNHA1DHtAoEAoFAIIgcIUYKBAIASlzgmaPOxKTcSbCZbX29OwKBQDAoMEiGiPugBIKfGDEbzLCZfGP5ZRPVUYZCjBQIYhuKgY5Gv0gAGJIyBElxSejwdGBX7S7VskhiWqkPOT/hS2LkmMwxUdlXgaC78M7IYP0iiVOGqR26whk5cLAYLXh10b/w24k3wCSZsCh/Tsj3hHJG8q5IILAzkqI+9XpGnvfmeTj3zXOxr36f7mfwDsDeEiMB4Nqp10KChP/t+h9GPzEaT65/EgDQ4Ghg/SIXlCwA4LsmaJ2RdF3inZEerwdPrH8CKw+tZLHdzBkZIqbVYrKw7+DI/2/vzqOjru/9j79mJvtOAiHsCUtYA0XEikApakEUFascRahUXLjWS6/3Ip62egveHqsoVO+9orZqVY70h+B2rRsKFRVELS61LKJIAgiyhoRsJCT5/P6I329msjGTmW8GZp6PczhnMvP9fuYzwyefzMxr3p9P6R6fZVoTYhLs59n7SzAHyxsrIyX57BtpsY5PjUu15wQqIwEACA5hJAAAQATw/mCkU2Innz1+R+aMtL/VLTV+kAYgMl0+6HKN7TVWN4+6OSTtuV1u/SDnB5Kkzw585nObVfXiTxhZ0LVAkvTlkS9VXduwd9j2w4SROL30SuultPg0Jccma1K/Sac8vukxVgUwzgxul1v3//AulV//lX424KpTHm9VRpacKLH3Q/TWNFysOOm7Z6QVYo7qNqrh56qjPkuVnqg9ob3H90qSvjj4RYt9KDlRopq6GkmN1X0d4Y6xd+izuZ/pJ31/opq6Gt3+1u06VnVM7+9p3C/SCvis16XNKiNTm1dG7i/bb+9DaS3jbYWR1rYDbbGWai0qKfKpjJRaXh7ce89IqeXKSOv4Lsld7P9zKiMBAAgOYSQAAEAEsL75LTX/4MblcmlmQWN1JJWRQGTLz8rXhjkbNDV/asjaHJkzUpL02Xe+YaS9TKsflSK90nqpU0In1dbXatvhbTLGNFZGdiGMxOkhMTZR62ev14Y5G+wlz9vSt1Nf9c/sL6lhieRQ7NOKjhfviffrOKvy3MjYy997a7rsatPKSGsfwj4ZfeygzDvA9N6PcceRHS32wdrzMCMhQwkxCX71O1RG5IzQmllrVJBdoKraKj3zj2d89ou0WIGd9TeiaTWi9Vq19ESpHfJJjRWJ/i7TKkkF2Q1fdFm8cbG+Pf6tpIY9I6Xmy4PXm3odqjjk0xdrT0ifMPL747skdbG/xFdVW9Xw2KiMBACgXQgjAQAAIoDb5VZybLKkxv3ivF1bcK2khiVcrQ+/AMBfI7t9H0YeaDmM9Kcy0uVy2RWWnx/4XN+Vf6fj1cfldrk1IHNAaDsMBGFkt5H2WPXHpL4N1ZEs0Rr5Yj2xdkDW0lKtTSsjW1umtXNiZ/XL7CfJd2lXq4JQknYcbTmMDMcSrd5cLpd+MfoXkqRHNz+qd4rekdSwX6TFroz8fpnWI1UNIawVDnpXRnqHkVZQ6O8yrZL02wm/VXp8uj7e97H+eeifkhqfG+s1rxUCF1cV23tBWr+vVmWkTyjaQmWk/diojAQAoF0IIwEAACKE9cFPS0ta9e3UV6unr9b/u/L/KTkuuYN7BuBMZ1VGfn7gcxljJDXsW2Z90OxPGCnJJ4y09p/s16mf4mP8q0oCTkdXDrlSkjS86/Aw9wQdwd43sqp5GGkFi1aFbEVNy8u0ZiVlqW+nvpLaqIw8RRhpLTMaDjMLZio1LlVfHf1Knx/4XFLjfpGS156R3y/TaoWBVrBnhYwlJ0paDiMDqIzsld5Lyy5e5nOdtUyrtRqIFS5az11WYpZiPbGS2t4z0rsy0kIYCQBA+xBGAgAARAjrw5HWlpW7ashV9gemABCIIV2GKM4Tp9LqUhWWFEqSKk9Wqt7US/L/w1k7jDz4eeN+kSzRijPc+Xnn6+83/V2PTX0s3F1BB7ACtZYqI60wckiXIZJar4zMSsxS34wWwsgy32VarS9//PmzP2v2y7NVdbIq7JWRUsMX4K4bcZ39s/d+kVLj3wTrCyvWc2WFg6GsjJQaVgC5akjDnp9ul9uuerT3jPw+XLSWi/Xea9OqjDx24pgdntqVkUktVEayTCsAAO1CGAkAABAh7MrI+IzwdgRAxIn1xGpY9jBJjftGWku0ul1uJcUm+dWOd2XktsPbJEmDOxNG4sx3dvez7f0EEdlaq4w8UXvCrmy0qmRbDSOTslpeptWrMvLYiWM6UnlE9aZe89+ar+X/WK4Xtr9wWoSRknTL2bfYl733i5Sa7xlpVUbaYeT3IWPpiVIVlRbZ5x2uPCxjjH2eP5WRUsPSsY9d8phGdRulmQUz5XF7JHntGdmkMtInOI1Ptbc4sPaN9FmmlcpIAABCgjASAAAgQlhLYrVWGQkAwbCWarX2jfTeL9LlcvnVxqDOgxTnidPx6uN6Y+cbkggjAZxZrEo5K2CzFJUUycgoJS5Fuem5kpqHkd7Llba4TKtXZaTUsFTr1kNbVXKiRJL016/+etqEkUOzh+qCvAskSRcPuNjnNnvPyOoyGWN8QljJtzKy8Fihfd6hikMqrym3q+79rYy02t5882Ytv2K5fZ1dGfl9uHiw4vvKyCZL3OZm5EpqXKrVe5lWK0Bt+tgAAEBgYsLdAQAAAISG9U3tlvaMBIBgNQ0jreX3AqkSifPEaWiXofrswGf2cq8s0wrgTNLaMq1WqNivUz87sKo42fqekVY7u0t262TdScV6Yu0w0u1yq97Ua8eRHaqpq7HPf+PrN3R297MlhT+MlKRV01fp8wOf6/y8832ut/eMrClTeU25/RiaVkYWVxX7hLqHKg7ZwWuMO0aJMYl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" ] @@ -2875,6 +2891,14 @@ "\n", "plt.show()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b1d7d00-5270-4a11-9d38-6b384ffe5330", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From da56f54fb33a6e90d07f68f17d024d20a8286c2f Mon Sep 17 00:00:00 2001 From: weiglszonja Date: Thu, 11 Jul 2024 11:25:05 +0200 Subject: [PATCH 3/5] small fix --- .../vu2024/vu2024_convert_single_wavelength_session.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/src/howe_lab_to_nwb/vu2024/vu2024_convert_single_wavelength_session.py b/src/howe_lab_to_nwb/vu2024/vu2024_convert_single_wavelength_session.py index ca76879..0b52f42 100644 --- a/src/howe_lab_to_nwb/vu2024/vu2024_convert_single_wavelength_session.py +++ b/src/howe_lab_to_nwb/vu2024/vu2024_convert_single_wavelength_session.py @@ -1,5 +1,5 @@ """Primary script to run to convert an entire session for of data using the NWBConverter.""" - +import os from pathlib import Path from typing import Union, Optional, List @@ -134,6 +134,7 @@ def single_wavelength_session_to_nwb( # Add behavior camera recording (optional) subject_id = raw_fiber_photometry_file_path.parent.parent.name + session_id = raw_fiber_photometry_file_path.parent.name behavior_avi_file_paths = list(raw_fiber_photometry_file_path.parent.glob(f"{subject_id}*.avi")) for avi_file_ind, behavior_avi_file_path in enumerate(behavior_avi_file_paths): video_key = f"Video{avi_file_ind + 1}" @@ -235,6 +236,8 @@ def single_wavelength_session_to_nwb( indicator = "dLight1.3b" nwbfile_path = Path("/Volumes/t7-ssd/Howe/nwbfiles/GridDL-18_211110.nwb") + if not nwbfile_path.parent.exists(): + os.makedirs(nwbfile_path.parent, exist_ok=True) stub_test = True single_wavelength_session_to_nwb( From 622abc45b7cab7f843b924dff7901d322a076896 Mon Sep 17 00:00:00 2001 From: weiglszonja Date: Mon, 15 Jul 2024 13:09:33 +0200 Subject: [PATCH 4/5] add remfile to requirements --- src/howe_lab_to_nwb/vu2024/vu2024_requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/src/howe_lab_to_nwb/vu2024/vu2024_requirements.txt b/src/howe_lab_to_nwb/vu2024/vu2024_requirements.txt index f83c01f..38267ad 100644 --- a/src/howe_lab_to_nwb/vu2024/vu2024_requirements.txt +++ b/src/howe_lab_to_nwb/vu2024/vu2024_requirements.txt @@ -5,3 +5,4 @@ aicsimageio>=4.14.0 roiextractors>=0.5.8 neuroconv@git+https://github.com/catalystneuro/neuroconv.git@main # temporary until new release neuroconv[video] +remfile>=0.1.13 # for the Jupyter notebook tutorial From 58636b1c22f54db8ec157530f3cb3e2c1c4047e3 Mon Sep 17 00:00:00 2001 From: weiglszonja Date: Mon, 15 Jul 2024 13:09:41 +0200 Subject: [PATCH 5/5] update tutorial --- .../vu2024/tutorials/vu2024_tutorial.ipynb | 1217 +++++------------ 1 file changed, 354 insertions(+), 863 deletions(-) diff --git a/src/howe_lab_to_nwb/vu2024/tutorials/vu2024_tutorial.ipynb b/src/howe_lab_to_nwb/vu2024/tutorials/vu2024_tutorial.ipynb index f8e650d..c2755da 100644 --- a/src/howe_lab_to_nwb/vu2024/tutorials/vu2024_tutorial.ipynb +++ b/src/howe_lab_to_nwb/vu2024/tutorials/vu2024_tutorial.ipynb @@ -20,7 +20,7 @@ "\n", "Contents:\n", "\n", - "- [Read an NWB file](#read-nwb)\n", + "- [Streaming an NWB file](#stream-nwb)\n", "- [Access Subject metadata](#access-subject)\n", "- [Access Imaging data](#access-imaging)\n", "- [Access raw fiber photometry data](#access-fiber-photometry)\n", @@ -34,25 +34,56 @@ "id": "04a836bb-be84-4c11-9ef0-e83d6b2d9e38", "metadata": {}, "source": [ - "# Reading an NWB file \n", + "# Steaming an NWB file \n", "\n", - "This section demonstrates how to read an NWB file using `pynwb`.\n", + "This section demonstrates how to access the files on the [DANDI Archive](https://dandiarchive.org) without downloading them. Based on the [Streaming NWB files](https://pynwb.readthedocs.io/en/stable/tutorials/advanced_io/streaming.html) tutorial from [PyNWB](https://pynwb.readthedocs.io/en/stable/#).\n", "\n", - "An [NWBFile](https://pynwb.readthedocs.io/en/stable/pynwb.file.html#pynwb.file.NWBFile) represents a single session of an experiment. Each NWBFile must have a `session description`, `identifier`, and `session start time`.\n" + "The `dandi.dandiapi.DandiAPIClient` can be used to get the S3 URL of the NWB file stored in the DANDI Archive.\n" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "id": "e83eb9d5-98ec-4e26-8b92-c900b8be2a5d", "metadata": {}, "outputs": [], "source": [ + "from dandi.dandiapi import DandiAPIClient\n", + "\n", + "client = DandiAPIClient.for_dandi_instance(\"dandi\")\n", + "\n", + "dandiset_id = \"001084\"\n", + "file_path = \"sub-DL18/sub-DL18_ses-211110_image+ophys.nwb\"\n", + "\n", + "with DandiAPIClient() as client:\n", + " asset = client.get_dandiset(dandiset_id, 'draft').get_asset_by_path(file_path)\n", + " s3_url = asset.get_content_url(follow_redirects=1, strip_query=True)\n" + ] + }, + { + "cell_type": "markdown", + "id": "a905793a-f978-4561-ad0a-b24a97c887f2", + "metadata": {}, + "source": [ + "We will use `remfile` for streaming the file. You can read more about `remfile` at [this tutorial section](https://pynwb.readthedocs.io/en/stable/tutorials/advanced_io/streaming.html#method-3-remfile)." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "a928293f-3d7b-4393-892c-3035f04a2e99", + "metadata": {}, + "outputs": [], + "source": [ + "import h5py\n", "from pynwb import NWBHDF5IO\n", + "import remfile\n", "\n", - "nwbfile_path = \"/Volumes/t7-ssd/Howe/nwbfiles/GridDL-18_211110.nwb\"\n", + "# We stream the file using remfile and open it with h5py and pynwb\",\n", + "file = remfile.File(s3_url)\n", + "h5_file = h5py.File(file, \"r\")\n", + "io = NWBHDF5IO(file=h5_file, load_namespaces=True)\n", "\n", - "io = NWBHDF5IO(nwbfile_path, \"r\")\n", "nwbfile = io.read()" ] }, @@ -70,10 +101,68 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "id": "04afe225-06d3-4640-a4c9-9b8994be8a74", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

subject (Subject)

age__reference: birth
genotype: wildtype
sex: F
species: Mus musculus
subject_id: DL18
date_of_birth2021-04-21 00:00:00-04:00
strain: C57BL/6J - Jackson Labs 000664
" + ], + "text/plain": [ + "subject pynwb.file.Subject at 0x5227001680\n", + "Fields:\n", + " age__reference: birth\n", + " date_of_birth: 2021-04-21 00:00:00-04:00\n", + " genotype: wildtype\n", + " sex: F\n", + " species: Mus musculus\n", + " strain: C57BL/6J - Jackson Labs 000664\n", + " subject_id: DL18" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "nwbfile.subject" ] @@ -99,7 +188,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 8, "id": "83dc0e1c-1fbf-46e3-b7a1-b45eb6c396e8", "metadata": {}, "outputs": [ @@ -142,21 +231,21 @@ " });\n", " });\n", " \n", - "

TwoPhotonSeriesGreen (TwoPhotonSeries)

starting_time: 0.0
rate: 29.994900866852635
resolution: -1.0
comments: no comments
description: Two-photon imaging acquired at 30 Hz with Hamamatsu microscope.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
dimension
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" + "

TwoPhotonSeriesGreen (TwoPhotonSeries)

resolution: -1.0
comments: no comments
description: Two-photon imaging acquired at 30 Hz with Hamamatsu microscope.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
dimension
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" ], "text/plain": [ - "TwoPhotonSeriesGreen pynwb.ophys.TwoPhotonSeries at 0x6262828944\n", + "TwoPhotonSeriesGreen pynwb.ophys.TwoPhotonSeries at 0x5146203216\n", "Fields:\n", " comments: no comments\n", " conversion: 1.0\n", " data: \n", " description: Two-photon imaging acquired at 30 Hz with Hamamatsu microscope.\n", " dimension: \n", - " imaging_plane: ImagingPlaneGreen pynwb.ophys.ImagingPlane at 0x6261508176\n", + " imaging_plane: ImagingPlaneGreen pynwb.ophys.ImagingPlane at 0x5226625808\n", "Fields:\n", " conversion: 1.0\n", " description: Imaging plane for the two-photon microscope.\n", - " device: HamamatsuMicroscope pynwb.device.Device at 0x6262831888\n", + " device: HamamatsuMicroscope pynwb.device.Device at 0x5403782416\n", "Fields:\n", " manufacturer: Hamamatsu Photonics\n", "\n", @@ -170,15 +259,15 @@ " origin_coords_unit: meters\n", " unit: meters\n", "\n", + " interval: 1\n", " offset: 0.0\n", - " rate: 29.994900866852635\n", " resolution: -1.0\n", - " starting_time: 0.0\n", - " starting_time_unit: seconds\n", + " timestamps: \n", + " timestamps_unit: seconds\n", " unit: n.a." ] }, - "execution_count": 4, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -198,7 +287,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "id": "0027ce1b-4a88-4280-8258-ac7a4deedfae", "metadata": {}, "outputs": [ @@ -244,11 +333,11 @@ "

ImagingPlaneGreen (ImagingPlane)

optical_channel
0
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" ], "text/plain": [ - "ImagingPlaneGreen pynwb.ophys.ImagingPlane at 0x6261508176\n", + "ImagingPlaneGreen pynwb.ophys.ImagingPlane at 0x5226625808\n", "Fields:\n", " conversion: 1.0\n", " description: Imaging plane for the two-photon microscope.\n", - " device: HamamatsuMicroscope pynwb.device.Device at 0x6262831888\n", + " device: HamamatsuMicroscope pynwb.device.Device at 0x5403782416\n", "Fields:\n", " manufacturer: Hamamatsu Photonics\n", "\n", @@ -263,7 +352,7 @@ " unit: meters" ] }, - "execution_count": 6, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -274,7 +363,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 10, "id": "c26d1d11-ab73-4e17-9ca2-87b7d91a7723", "metadata": {}, "outputs": [ @@ -307,174 +396,22 @@ "source": [ "# Fiber photometry traces\n", "\n", - "The raw fluorescence traces from the multi-fiber array are added to `nwbfile.acquisition` and are stored in a `FiberPhotometryResponseSeries` object using [`ndx-fiber-photometry`](https://github.com/catalystneuro/ndx-fiber-photometry). The fluorescence data during 470 nm excitation can be accessed as `nwbfile.acquisition[\"FiberPhotometryResponseSeries\"]`." + "The raw fluorescence traces from the multi-fiber array are added to `nwbfile.acquisition` and are stored in a `FiberPhotometryResponseSeries` object using [`ndx-fiber-photometry`](https://github.com/catalystneuro/ndx-fiber-photometry). The fluorescence data during 470 nm excitation can be accessed as `nwbfile.acquisition[\"FiberPhotometryResponseSeriesGreen\"]`." ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 35, "id": "3c9e8339-2147-408e-a417-804213d15c15", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - "

FiberPhotometryResponseSeriesGreen (FiberPhotometryResponseSeries)

resolution: -1.0
comments: no comments
description: Raw fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
table\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorallen_atlas_coordinatesis_good_fibercoordinatesemission_filterexcitation_filter
id
0CaudoputamendLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
1CaudoputamendLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
3CaudoputamendLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n

... and 99 more rows.

" - ], - "text/plain": [ - "FiberPhotometryResponseSeriesGreen abc.FiberPhotometryResponseSeries at 0x6260665104\n", - "Fields:\n", - " comments: no comments\n", - " conversion: 1.0\n", - " data: \n", - " description: Raw fluorescence traces acquired with multi-fiber array implanted in the striatum.\n", - " fiber_photometry_table_region: fiber_photometry_table_region \n", - " interval: 1\n", - " offset: 0.0\n", - " resolution: -1.0\n", - " timestamps: \n", - " timestamps_unit: seconds\n", - " unit: n.a." - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "fiber_photometry_response_series = nwbfile.acquisition[\"FiberPhotometryResponseSeriesGreen\"]\n", - "fiber_photometry_response_series" + "fiber_photometry_response_series = nwbfile.acquisition[\"FiberPhotometryResponseSeriesGreen\"]" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 12, "id": "fe10b8ed-3d01-4cb2-b4a4-a7ed83727b4f", "metadata": { "jupyter": { @@ -538,7 +475,7 @@ }, { "cell_type": "code", - 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" CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", + " CMOSCamera abc.Photodetector at 0x5403217616\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x540352...\n", " [460, 674, 180]\n", " True\n", " [0.65, 1.04, 1.35]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x52...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x52...\n", " \n", " \n", " 3\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", - " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", + " dLight1.3b abc.Indicator at 0x5403866320\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x5403524304\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", + " CMOSCamera abc.Photodetector at 0x5403217616\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x540352...\n", " [495, 685, 260]\n", " True\n", " [0.3, 1.15, 2.05]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x52...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x52...\n", " \n", " \n", " 4\n", " Primary motor area Layer 6a\n", - " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", - " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", + " dLight1.3b abc.Indicator at 0x5403866320\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x5403524304\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", + " CMOSCamera abc.Photodetector at 0x5403217616\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x540352...\n", " [400, 686, 160]\n", " True\n", " [1.25, 1.16, 1.17]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x52...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x52...\n", " \n", " \n", " ...\n", @@ -678,72 +615,72 @@ " \n", " 98\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", - " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", + " dLight1.3b abc.Indicator at 0x5403866320\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x5403524304\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", + " CMOSCamera abc.Photodetector at 0x5403217616\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x540352...\n", " [433, 775, 249]\n", " True\n", " [0.92, 2.05, 1.96]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x52...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x52...\n", " \n", " \n", " 99\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", - " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", + " dLight1.3b abc.Indicator at 0x5403866320\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x5403524304\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - 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" OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x52...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x52...\n", " \n", " \n", " 101\n", " Primary somatosensory area mouth layer 6a\n", - " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", - " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", + " dLight1.3b abc.Indicator at 0x5403866320\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x5403524304\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", + " CMOSCamera abc.Photodetector at 0x5403217616\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x540352...\n", " [482, 821, 396]\n", " True\n", " [0.43, 2.51, 3.25]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x52...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x52...\n", " \n", " \n", " 102\n", " Primary motor area Layer 2/3\n", - " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", - " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", + " dLight1.3b abc.Indicator at 0x5403866320\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x5403524304\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", + " CMOSCamera abc.Photodetector at 0x5403217616\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x540352...\n", " [396, 791, 209]\n", " True\n", " [1.29, 2.21, 1.6]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x52...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x52...\n", " \n", " \n", "\n", @@ -767,31 +704,31 @@ "\n", " indicator \\\n", "id \n", - "0 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", - "1 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", - "2 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", - "3 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", - "4 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "0 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", + "1 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", + "2 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", + "3 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", + "4 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", ".. ... \n", - "98 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", - "99 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", - "100 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", - "101 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", - "102 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "98 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", + "99 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", + "100 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", + "101 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", + "102 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", "\n", " optical_fiber \\\n", "id \n", - "0 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", - "1 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", - "2 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", - "3 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", - "4 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "0 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", + "1 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", + "2 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", + "3 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", + "4 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", ".. ... \n", - "98 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", - "99 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", - "100 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", - "101 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", - "102 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "98 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", + "99 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", + "100 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", + "101 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", + "102 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", "\n", " excitation_source \\\n", "id \n", @@ -809,31 +746,31 @@ "\n", " photodetector \\\n", "id \n", - "0 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", - "1 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", - "2 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", - "3 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", - "4 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "0 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", + "1 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", + "2 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", + "3 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", + "4 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", ".. ... \n", - "98 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", - "99 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", - "100 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", - "101 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", - "102 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "98 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", + "99 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", + "100 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", + "101 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", + "102 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", "\n", " dichroic_mirror \\\n", "id \n", - "0 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", - "1 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", - "2 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", - "3 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", - "4 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", + "0 DichroicMirror1 abc.DichroicMirror at 0x540352... \n", + "1 DichroicMirror1 abc.DichroicMirror at 0x540352... \n", + "2 DichroicMirror1 abc.DichroicMirror at 0x540352... \n", + "3 DichroicMirror1 abc.DichroicMirror at 0x540352... \n", + "4 DichroicMirror1 abc.DichroicMirror at 0x540352... \n", ".. ... \n", - "98 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", - "99 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", - "100 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", - "101 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", - "102 DichroicMirror1 abc.DichroicMirror at 0x626282... \n", + "98 DichroicMirror1 abc.DichroicMirror at 0x540352... \n", + "99 DichroicMirror1 abc.DichroicMirror at 0x540352... \n", + "100 DichroicMirror1 abc.DichroicMirror at 0x540352... \n", + "101 DichroicMirror1 abc.DichroicMirror at 0x540352... \n", + "102 DichroicMirror1 abc.DichroicMirror at 0x540352... \n", "\n", " allen_atlas_coordinates is_good_fiber coordinates \\\n", "id \n", @@ -851,36 +788,36 @@ "\n", " emission_filter \\\n", "id \n", - "0 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", - "1 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", - "2 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", - "3 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", - "4 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "0 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", + "1 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", + "2 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", + "3 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", + "4 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", ".. ... \n", - "98 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", - "99 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", - "100 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", - "101 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", - "102 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "98 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", + "99 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", + "100 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", + "101 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", + "102 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", "\n", " excitation_filter \n", "id \n", - "0 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", - "1 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", - "2 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", - "3 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", - "4 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "0 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", + "1 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", + "2 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", + "3 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", + "4 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", ".. ... \n", - "98 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", - "99 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", - "100 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", - "101 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", - "102 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", + "98 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", + "99 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", + "100 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", + "101 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", + "102 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", "\n", "[103 rows x 11 columns]" ] }, - "execution_count": 10, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -899,7 +836,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "id": "f68f5dce-2c8c-4cd4-a57d-5f090cb50b6d", "metadata": {}, "outputs": [ @@ -955,72 +892,72 @@ " \n", " 0\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", - " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", + " dLight1.3b abc.Indicator at 0x5403866320\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x5403524304\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", + " CMOSCamera abc.Photodetector at 0x5403217616\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x540352...\n", " [442, 644, 229]\n", " True\n", " [0.83, 0.74, 1.78]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x52...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x52...\n", " \n", " \n", " 1\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", - " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", + " dLight1.3b abc.Indicator at 0x5403866320\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x5403524304\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", + " CMOSCamera abc.Photodetector at 0x5403217616\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x540352...\n", " [454, 642, 304]\n", " True\n", " [0.71, 0.72, 2.44]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x52...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x52...\n", " \n", " \n", " 2\n", " Primary motor area Layer 6a\n", - " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", - " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", + " dLight1.3b abc.Indicator at 0x5403866320\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x5403524304\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", + " CMOSCamera abc.Photodetector at 0x5403217616\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x540352...\n", " [460, 674, 180]\n", " True\n", " [0.65, 1.04, 1.35]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x52...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x52...\n", " \n", " \n", " 3\n", " Caudoputamen\n", - " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", - " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", + " dLight1.3b abc.Indicator at 0x5403866320\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x5403524304\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", + " CMOSCamera abc.Photodetector at 0x5403217616\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x540352...\n", " [495, 685, 260]\n", " True\n", " [0.3, 1.15, 2.05]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x52...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x52...\n", " \n", " \n", " 4\n", " Primary motor area Layer 6a\n", - " dLight1.3b abc.Indicator at 0x6262885712\\nFiel...\n", - " FiberArray abc.OpticalFiber at 0x6261509904\\nF...\n", + " dLight1.3b abc.Indicator at 0x5403866320\\nFiel...\n", + " FiberArray abc.OpticalFiber at 0x5403524304\\nF...\n", " ExcitationSource470 abc.ExcitationSource at 0x...\n", - " CMOSCamera abc.Photodetector at 0x6262952592\\n...\n", - " DichroicMirror1 abc.DichroicMirror at 0x626282...\n", + " CMOSCamera abc.Photodetector at 0x5403217616\\n...\n", + " DichroicMirror1 abc.DichroicMirror at 0x540352...\n", " [400, 686, 160]\n", " True\n", " [1.25, 1.16, 1.17]\n", - " OpticalFilter525 abc.BandOpticalFilter at 0x62...\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x62...\n", + " OpticalFilter525 abc.BandOpticalFilter at 0x52...\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x52...\n", " \n", " \n", "\n", @@ -1037,19 +974,19 @@ "\n", " indicator \\\n", "id \n", - "0 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", - "1 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", - "2 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", - "3 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", - "4 dLight1.3b abc.Indicator at 0x6262885712\\nFiel... \n", + "0 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", + "1 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", + "2 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", + "3 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", + "4 dLight1.3b abc.Indicator at 0x5403866320\\nFiel... \n", "\n", " optical_fiber \\\n", "id \n", - "0 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", - "1 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", - "2 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", - "3 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", - "4 FiberArray abc.OpticalFiber at 0x6261509904\\nF... \n", + "0 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", + "1 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", + "2 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", + "3 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", + "4 FiberArray abc.OpticalFiber at 0x5403524304\\nF... \n", "\n", " excitation_source \\\n", "id \n", @@ -1061,19 +998,19 @@ "\n", " photodetector \\\n", "id \n", - "0 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", - "1 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", - "2 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", - "3 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", - "4 CMOSCamera abc.Photodetector at 0x6262952592\\n... \n", + "0 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", + "1 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", + "2 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", + "3 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", + "4 CMOSCamera abc.Photodetector at 0x5403217616\\n... \n", "\n", " dichroic_mirror allen_atlas_coordinates \\\n", "id \n", - "0 DichroicMirror1 abc.DichroicMirror at 0x626282... [442, 644, 229] \n", - "1 DichroicMirror1 abc.DichroicMirror at 0x626282... [454, 642, 304] \n", - "2 DichroicMirror1 abc.DichroicMirror at 0x626282... [460, 674, 180] \n", - "3 DichroicMirror1 abc.DichroicMirror at 0x626282... [495, 685, 260] \n", - "4 DichroicMirror1 abc.DichroicMirror at 0x626282... [400, 686, 160] \n", + "0 DichroicMirror1 abc.DichroicMirror at 0x540352... [442, 644, 229] \n", + "1 DichroicMirror1 abc.DichroicMirror at 0x540352... [454, 642, 304] \n", + "2 DichroicMirror1 abc.DichroicMirror at 0x540352... [460, 674, 180] \n", + "3 DichroicMirror1 abc.DichroicMirror at 0x540352... [495, 685, 260] \n", + "4 DichroicMirror1 abc.DichroicMirror at 0x540352... [400, 686, 160] \n", "\n", " is_good_fiber coordinates \\\n", "id \n", @@ -1085,22 +1022,22 @@ "\n", " emission_filter \\\n", "id \n", - "0 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", - "1 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", - "2 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", - "3 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", - "4 OpticalFilter525 abc.BandOpticalFilter at 0x62... \n", + "0 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", + "1 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", + "2 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", + "3 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", + "4 OpticalFilter525 abc.BandOpticalFilter at 0x52... \n", "\n", " excitation_filter \n", "id \n", - "0 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", - "1 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", - "2 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", - "3 OpticalFilter470 abc.BandOpticalFilter at 0x62... \n", - "4 OpticalFilter470 abc.BandOpticalFilter at 0x62... " + "0 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", + "1 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", + "2 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", + "3 OpticalFilter470 abc.BandOpticalFilter at 0x52... \n", + "4 OpticalFilter470 abc.BandOpticalFilter at 0x52... " ] }, - "execution_count": 12, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1188,7 +1125,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "id": "484e638b-12b9-47b2-9d5b-34d4943ccabe", "metadata": {}, "outputs": [ @@ -1234,13 +1171,13 @@ "

dLight1.3b (Indicator)

description: green dopamine sensor
label: pAAV-CAG-dLight1.3b(AAV5)
" ], "text/plain": [ - "dLight1.3b abc.Indicator at 0x6262885712\n", + "dLight1.3b abc.Indicator at 0x5403866320\n", "Fields:\n", " description: green dopamine sensor\n", " label: pAAV-CAG-dLight1.3b(AAV5)" ] }, - "execution_count": 14, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -1251,7 +1188,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "id": "301fdede-cdb0-4fb3-a743-3e3736c44831", "metadata": {}, "outputs": [ @@ -1301,7 +1238,7 @@ "
manufacturer: Thorlabs
model: SOLIS-470C
illumination_type: LED
excitation_wavelength_in_nm: 470.0
" ], "text/plain": [ - "ExcitationSource470 abc.ExcitationSource at 0x6262952080\n", + "ExcitationSource470 abc.ExcitationSource at 0x5403864976\n", "Fields:\n", " description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\n", "were coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\n", @@ -1314,7 +1251,7 @@ " model: SOLIS-470C" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -1504,7 +1441,7 @@ "

OpticalFilter525 (BandOpticalFilter)

description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.
manufacturer: Chroma
center_wavelength_in_nm: 525.0
bandwidth_in_nm: 50.0
filter_type: Bandpass
model: 525/50m
" ], "text/plain": [ - "OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\n", + "OpticalFilter525 abc.BandOpticalFilter at 0x5226917392\n", "Fields:\n", " bandwidth_in_nm: 50.0\n", " center_wavelength_in_nm: 525.0\n", @@ -1571,7 +1508,7 @@ "

OpticalFilter470 (BandOpticalFilter)

description: The band-pass filter used to isolate the 470 nm excitation light.
manufacturer: Chroma
center_wavelength_in_nm: 473.0
bandwidth_in_nm: 24.0
filter_type: Bandpass
model: ET473/24
" ], "text/plain": [ - "OpticalFilter470 abc.BandOpticalFilter at 0x6262961488\n", + "OpticalFilter470 abc.BandOpticalFilter at 0x5227204816\n", "Fields:\n", " bandwidth_in_nm: 24.0\n", " center_wavelength_in_nm: 473.0\n", @@ -1599,473 +1536,39 @@ "\n", "This section demonstrates how to access the processed fiber photometry data in the NWBFile.\n", "\n", - "The processed fiber photometry data is stored in \"processing/ophys\" which can be accessed as `nwbfile.processing[\"ophys\"]`. Within this processing module we can access the ∆F/F traces as `nwbfile.processing[\"ophys\"][\"DfOverFFiberPhotometryResponseSeries\"]`." + "The processed fiber photometry data is stored in \"processing/ophys\" which can be accessed as `nwbfile.processing[\"ophys\"]`. Within this processing module we can access the ∆F/F traces as `nwbfile.processing[\"ophys\"][\"DfOverFFiberPhotometryResponseSeriesGreen\"]`." ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "94b788b7-9f26-4480-b89e-e3b17379ebed", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - "

ophys (ProcessingModule)

description: No description.
data_interfaces
BaselineFiberPhotometryResponseSeriesGreen
resolution: -1.0
comments: no comments
description: Baseline fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
table\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorallen_atlas_coordinatesis_good_fibercoordinatesemission_filterexcitation_filter
id
0CaudoputamendLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
1CaudoputamendLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
3CaudoputamendLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n

... and 99 more rows.

DfOverFFiberPhotometryResponseSeriesGreen
resolution: -1.0
comments: no comments
description: Baseline corrected (DF/F) fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
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locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorallen_atlas_coordinatesis_good_fibercoordinatesemission_filterexcitation_filter
id
0CaudoputamendLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
1CaudoputamendLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
3CaudoputamendLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n

... and 99 more rows.

ImageSegmentation
plane_segmentations
PlaneSegmentation
description: Segmented ROIs
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
table\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
image_maskROICentroidsAcceptedRejected
id
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TwoPhotonSeriesMotionCorrectedGreen
starting_time: 0.0
rate: 29.994900866852635
resolution: -1.0
comments: no comments
description: The motion corrected two-photon imaging data.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
dimension
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
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DfOverFFiberPhotometryResponseSeriesGreen (FiberPhotometryResponseSeries)

resolution: -1.0
comments: no comments
description: Baseline corrected (DF/F) fluorescence traces acquired with multi-fiber array implanted in the striatum.
conversion: 1.0
offset: 0.0
unit: n.a.
data
timestamps
timestamps_unit: seconds
interval: 1
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
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locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorallen_atlas_coordinatesis_good_fibercoordinatesemission_filterexcitation_filter
id
0CaudoputamendLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[442, 644, 229]True[0.83, 0.74, 1.78]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
1CaudoputamendLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[454, 642, 304]True[0.71, 0.72, 2.44]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
2Primary motor area Layer 6adLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[460, 674, 180]True[0.65, 1.04, 1.35]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n
3CaudoputamendLight1.3b abc.Indicator at 0x6262885712\\nFields:\\n description: green dopamine sensor\\n label: pAAV-CAG-dLight1.3b(AAV5)\\nFiberArray abc.OpticalFiber at 0x6261509904\\nFields:\\n core_diameter_in_um: 34.0\\n description: The optical fiber used in a multi-fiber arrays configuration, fabricated in-house to enable large scale measurements across deep brain volumes. Bare fibers were cut into pieces (ca. 3cm) then mounted under a microscope into 55-60μm diameter holes in a custom 3D printed grid (3mm W x 5mm L, Boston Micro Fabrication), measured under a dissection microscope to target a particular depth beneath the grid, and secured in place with UV glue (Norland Optical Adhesive 61). Each array contained between 30 and 103 fibers separated by a minimum of 220μm radially and 250μm axially. Separation was calculated to achieve maximal coverage of the striatum volume with no overlap in the collection fields of individual fibers. Fibers were cut with a fiber scribe, and the distal ends were inspected to ensure a uniform cut, and re-cut as necessary. Distal ends were then glued inside an 1cm ca. section of polyimide tube (0.8-1.3mm diameter, MicroLumen) then cut with a fresh razorblade. The bundled fibers inside the tube were then polished on fine grained polishing paper (ThorLabs,polished first with 6 μm, followed by 3 μm) to create a smooth, uniform fiber bundle surface for imaging. A larger diameter post was mounted on one side of the plastic grid to facilitate holding during implantation.\\n manufacturer: Fiber Optics Tech\\n model: not specified\\n numerical_aperture: 0.66\\nExcitationSource470 abc.ExcitationSource at 0x6262952080\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, No. SOLIS-470C) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: SOLIS-470C\\nCMOSCamera abc.Photodetector at 0x6262952592\\nFields:\\n description: A tube lens in each path (Thor labs, No TTL165-A, detected wavelength bandwidth 350-700 nm) focused emission light onto the CMOS sensors of the cameras to form an image of the fiber bundle.\\n detected_wavelength_in_nm: 525.0\\n detector_type: CMOS sensor\\n manufacturer: Hamamatsu Photonics\\n model: Orca Fusion BT Gen III\\nDichroicMirror1 abc.DichroicMirror at 0x6262823312\\nFields:\\n cut_on_wavelength_in_nm: 532.0\\n description: The dichroic mirror used to reflect green and pass red fluorescence\\n manufacturer: Chroma Tech Corp\\n model: ZT532rdc\\n reflection_band_in_nm: [405. 532.]\\n transmission_band_in_nm: [545. 750.]\\n[495, 685, 260]True[0.3, 1.15, 2.05]OpticalFilter525 abc.BandOpticalFilter at 0x6262334160\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 525.0\\n description: The band-pass filter used to isolate the green emitted light after passing through a dichroic (Chroma, No. 532rdc) that reflected green and passed red fluorescence.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: 525/50m\\nOpticalFilter470 abc.BandOpticalFilter at 0x6262961488\\nFields:\\n bandwidth_in_nm: 24.0\\n center_wavelength_in_nm: 473.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Chroma\\n model: ET473/24\\n

... and 99 more rows.

" - ], - "text/plain": [ - "DfOverFFiberPhotometryResponseSeriesGreen abc.FiberPhotometryResponseSeries at 0x6262894288\n", - "Fields:\n", - " comments: no comments\n", - " conversion: 1.0\n", - " data: \n", - " description: Baseline corrected (DF/F) fluorescence traces acquired with multi-fiber array implanted in the striatum.\n", - " fiber_photometry_table_region: fiber_photometry_table_region \n", - " interval: 1\n", - " offset: 0.0\n", - " resolution: -1.0\n", - " timestamps: \n", - " timestamps_unit: seconds\n", - " unit: n.a." - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_over_f_traces = nwbfile.processing[\"ophys\"][\"DfOverFFiberPhotometryResponseSeriesGreen\"]\n", - "df_over_f_traces" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "8377268e-e3ea-452b-ae52-78d0da2b70d9", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "outputs": [], + "source": [ + "nwbfile.processing[\"ophys\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6557281b-9bd0-40df-a084-766db3497133", + "metadata": {}, + "outputs": [], + "source": [ + "df_over_f_traces = nwbfile.processing[\"ophys\"][\"DfOverFFiberPhotometryResponseSeriesGreen\"]\n", + "df_over_f_traces" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "8377268e-e3ea-452b-ae52-78d0da2b70d9", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, "outputs": [ { "data": { @@ -2171,18 +1674,18 @@ "

TwoPhotonSeriesMotionCorrectedGreen (TwoPhotonSeries)

starting_time: 0.0
rate: 29.994900866852635
resolution: -1.0
comments: no comments
description: The motion corrected two-photon imaging data.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
dimension
imaging_plane
optical_channel
0
description: An optical channel of the microscope.
emission_lambda: 511.0
description: Imaging plane for the two-photon microscope.
device
manufacturer: Hamamatsu Photonics
excitation_lambda: 470.0
indicator: dLight1.3b
location: STR
conversion: 1.0
unit: meters
origin_coords_unit: meters
grid_spacing_unit: meters
" ], "text/plain": [ - "TwoPhotonSeriesMotionCorrectedGreen pynwb.ophys.TwoPhotonSeries at 0x6262619536\n", + "TwoPhotonSeriesMotionCorrectedGreen pynwb.ophys.TwoPhotonSeries at 0x5227001040\n", "Fields:\n", " comments: no comments\n", " conversion: 1.0\n", " data: \n", " description: The motion corrected two-photon imaging data.\n", " dimension: \n", - " imaging_plane: ImagingPlaneGreen pynwb.ophys.ImagingPlane at 0x6261508176\n", + " imaging_plane: ImagingPlaneGreen pynwb.ophys.ImagingPlane at 0x5226625808\n", "Fields:\n", " conversion: 1.0\n", " description: Imaging plane for the two-photon microscope.\n", - " device: HamamatsuMicroscope pynwb.device.Device at 0x6262831888\n", + " device: HamamatsuMicroscope pynwb.device.Device at 0x5403782416\n", "Fields:\n", " manufacturer: Hamamatsu Photonics\n", "\n", @@ -2374,13 +1877,9 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 26, "id": "8c93c470-92b2-4451-80af-ca0e61c4c8da", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "metadata": {}, "outputs": [ { "data": { @@ -2429,7 +1928,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 27, "id": "14f9d8cc-d41c-40cd-9497-34a8b712dcf1", "metadata": {}, "outputs": [ @@ -2516,7 +2015,7 @@ "

... and 159 more rows.

" ], "text/plain": [ - "behavior pynwb.base.ProcessingModule at 0x6262068304\n", + "behavior pynwb.base.ProcessingModule at 0x5226616976\n", "Fields:\n", " data_interfaces: {\n", " AngularVelocity ,\n", @@ -2526,7 +2025,7 @@ " description: Contains the velocity signals from two optical mouse sensors (Logitech G203 mice with hard plastic shells removed)." ] }, - "execution_count": 28, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -2537,7 +2036,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 28, "id": "e7a9306f-b2f6-422c-9cdb-1a4f3bc5c058", "metadata": {}, "outputs": [ @@ -2583,7 +2082,7 @@ "

Velocity (TimeSeries)

resolution: -1.0
comments: no comments
description: Velocity for the roll and pitch (x, y) measured in m/s.
conversion: 1.0
offset: 0.0
unit: m/s
data
timestamps (link to processing/behavior/AngularVelocity/timestamps)
timestamps_unit: seconds
interval: 1
" ], "text/plain": [ - "Velocity pynwb.base.TimeSeries at 0x6262171216\n", + "Velocity pynwb.base.TimeSeries at 0x5403786320\n", "Fields:\n", " comments: no comments\n", " conversion: 1.0\n", @@ -2592,7 +2091,7 @@ " interval: 1\n", " offset: 0.0\n", " resolution: -1.0\n", - " timestamps: AngularVelocity pynwb.base.TimeSeries at 0x6262887824\n", + " timestamps: AngularVelocity pynwb.base.TimeSeries at 0x5403511376\n", "Fields:\n", " comments: no comments\n", " conversion: 1.0\n", @@ -2612,7 +2111,7 @@ " unit: m/s" ] }, - "execution_count": 29, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -2624,13 +2123,9 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 29, "id": "8d610e53-a3e6-4e6d-afef-d03fb82ccec0", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "metadata": {}, "outputs": [ { "data": { @@ -2694,7 +2189,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 30, "id": "bb4fadaa-caca-4eb2-b84b-2f13b23361fa", "metadata": {}, "outputs": [ @@ -2820,7 +2315,7 @@ "[163 rows x 3 columns]" ] }, - "execution_count": 31, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -2832,13 +2327,9 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 34, "id": "1512c91e-2ba8-49e1-a44b-62db6ab2078b", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, + "metadata": {}, "outputs": [ { "data": {