v0.3.0

Examples

• new: 3d N-body simulation
• new: wolf-sheep predation model
• fixed interactive figures (for matplotlib 3.4)

Internal improvements

• refactor package to support multiple submodules in future releases - allows for mixed python and C++ implementations
• enabled test coverage (codecov.io)

Breaking changes

• The function neworder.version() has been removed and replaced with the more standard neworder.__version__

v0.2.1

neworder 0.2.1

no functional change

Bugfixes

• fix issue where CalendarTimeline.dt() always returned 0.0 for open-ended timelines

v0.2.0

neworder 0.2.0 release

Breaking changes

• Calling the Model's checkpoint method during model run is no longer supported.
• The Model's checkpoint method has been renamed finalise and is called after the final timestep.

New features

• Monte-Carlo: added Poisson counts function
• Timeline: added open-ended linear timeline
• Timeline: added open-ended calendar timeline

Internal improvements

• Monte-Carlo: improved input parameter validation
• make global state parameters atomic
• consolidated CI builds: moved travis builds to appveyor
• examples code tar/zip files now versioned

v0.1.2

This release purely addresses a build configuration issue with conda-forge. Functionally identical to 0.1.0

v0.1.1

Fixes packaging issues with 0.1.0, otherwise identical

v0.1.0

New features

• new timeline functionality (breaking change):

  • neworder.LinearTimeline replaces neworder.Timeline
  • neworder.NoTimeline replaces neworder.Timeline.null()
  • neworder.NumericTimeline enables arbitrary numeric timelines
  • neworder.CalendarTimeline allows date-based timelines with steps in increments of days, months or years

• use python's warnings mechanism to report warnings, rather than the standard logging mechanism

Bug fixes

• fix bug where Monte-Carlo functions would fail because tolerance of probabilities summing to exactly 1 was too tight - tolerance is now ~1e-8
• ensure that checkpoint code is still run on current timestep even if halt signal has been sent

v0.0.8

Relax min version requirement for numpy and pandas dependencies, to satisfy conda-forge

v0.0.7

Functional changes

• add MonteCarlo.sample method
• add MonteCarlo.state method (disabled on OSX due to library issue)
• add Model.halt method for graceful early termination of model run

Other changes

• Major updates to examples and documentation
• Usable Docker image containing all the examples code

v0.0.6

trying to resolve conda-forge issues

v0.0.5

first pre-release