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Releases: nRF24/pyRF24

v0.4.1

05 Jul 20:15
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What's Changed

  • update dependabot config by @2bndy5 in #70
  • Bump pypa/cibuildwheel from 2.17.0 to 2.19.2 in the github-actions group by @dependabot in #74
  • Bump the rf24-submodules group across 1 directory with 3 updates by @dependabot in #75

Full Changelog: v0.4.0...v0.4.1

v0.4.0

16 Jun 02:44
9041e90
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What's Changed

Full Changelog: v0.3.0...v0.4.0

Newer GPIO implementation

06 May 09:06
4db31f1
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What's Changed

Improvements

  • Update clang format by @2bndy5 in #35
  • Expose RF24_DRIVER and fix linking to shared utility driver libs by @2bndy5 in #46
  • Update scanner by @2bndy5 in #47
  • supplement SPIDEV & RPi drivers with copy of linux/gpio.h by @2bndy5 in #49
  • Bump RF24 from 638095e to c200b7c by @dependabot
  • Bump RF24Network from 4e804ee to ba5a2a5 by @dependabot
  • Bump RF24Mesh from 38ee022 to 7c30deb by @dependabot

Developer dependencies

Full Changelog: v0.2.5...v0.3.0

fix source distribution for when using RPi driver

05 Dec 04:26
f9afd8b
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New Contributors

Full Changelog: v0.2.4...v0.2.5

fix for available() inconsistency

28 Sep 18:25
4aad20a
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What's Changed

Full Changelog: v0.2.3...v0.2.4

Regular update for submodules and docs

28 Jul 00:08
4241a09
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Full Changelog: v0.2.2...v0.2.3

increase rf24_network.MAX_PAYLOAD_SIZE to 1514 bytes

19 Jan 10:28
10eae4d
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Full Changelog: v0.2.1...v0.2.2

expose older open*Pipe() functions that take an int address

26 Aug 23:34
50b6e49
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What's Changed

  • Expose old open pipe funcs by @2bndy5 in #12
  • Build and distribute binary wheels for desktop Linux platforms.

Full Changelog: v0.2.0...v0.2.1

distributing to pypi

23 Jul 23:10
ce6ff01
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This release is the first available to pypi (remotely accessible via pip). We're using pypa/cibuildwheels to distribute a binary wheel for aarch64 platforms (Linux only). We'll be relying on the piwheels project to build armhf compatible wheels for the 32-bit Raspberry Pi OS.

We're starting with v0.2.0 because v0.1.x was used for alpha testing pypi uploads, and you can't re-use tags on pypi.