v1.5.0

Functional changes

• Support for freethreaded python and multithreading. Adds functions:
  • neworder.freethreaded() returns whether the neworder module has been compiled in freethreaded mode (requires a
    freethreaded python interpreter)
  • neworder.thread_id(): neworder.log(...) now reports this value.

Other changes

• Updated parallel and option examples with alternative (to MPI) implementations using multithreading.
• Added documentation and tests for multithreaded implementations.

v1.4.4

Maintenance release

• updated python version support
• switched default (linux) MPI implementation to openmpi

Maintenance release v1.4.3

Functional changes

(none)

Other changes

• updated supported python versions
• switch to uv package manager for CI builds
• removed unfinished/untested models
• reformatted code

Maintenance release v1.4.2

Functional changes

• add RunState enum
• update documentation

Other changes

• Update dependencies
• Update CI: python 3.10/3.11/3.12
• linting and formatting

1.4.1

patch to fix documentation

1.4.0

Packaging changes

The package now contains the following optional dependencies/extras:

• geospatial: geospatial graph functionality based on nextworkx, osmnx, geopandas etc
• parallel: MPI
• dev: for local package development

which can be installed like so, e.g.

pip install neworder[parallel]

Functional changes

• neworder.geospatial.GeoSpatialGraph is now available - if the geospatial extra has been selected. (Previously the implementation was in an example)
• Changes to the mpi submodule:
  • the functions rank() and size() are now attributes: RANK and SIZE.
  • there is a new COMM attribute, which is either an mpi4py.MPI.Intracomm instance or None depending on whether the parallel extra was installed.
• In the time submodule, the following functions are now attributes:
  • never() becomes NEVER
  • distant_past() becomes DISTANT_PAST
  • far_future() becomes FAR_FUTURE.

Internal changes

• Model.modify() no longer takes an integer argument. Access neworder.mpi.RANK from within the function.
• seeder functions no longer take an integer argument. Access neworder.mpi.RANK from within a custom implementation function if necessary.
• packaging and CI improvements

v1.3.1

Packaging changes

Conda builds are no longer supported as of this release. Conda users should use pip to install version 1.3 or higher.

Functional changes

• Custom timeline support. Users can now subclass neworder.Timeline to create their own timeline implementations and use them within their model.
• The following timeline attributes that were methods are now properties: at_end, dt, end, index, nsteps, start, time. Although this is potentially a breaking change, it's not considered significant enough to warrant a major version bump.
• The seeder argument to the base model constructor is now optional, and defaults to neworder.MonteCarlo.deterministic_independent_stream.

Internal changes

• Refactoring of Model base class and Timelines to support custom timelines
• Changes to CI workflows

Bugfixes

• Security fix for example dependencies

v1.2.1

Functional changes

• Added "infection" example to demonstrate movement on a spatial network. In order to avoid a large increase in package dependencies, the spatial domain implementation (GeospatialGraph) is contained within the example, not the neworder package itself.
• Improved and extended "boids" examples, now with 2d and 3d versions
• added functionality to StateGrid to translate positions according to the given edge behaviour
• python 3.9 and below are no longer supported

Internal changes

• updates to CI

bugfixes

• fixed display issue with n-body example

v1.2.0

Functional changes

• The neworder Monte-Carlo engine can now be used directly as a numpy random generator, giving access to all of numpy's random functionality. Create a generator via the as_np adapter method, e.g.:

  model = no.Model(no.NoTimeline(), no.MonteCarlo.deterministic_identical_stream)
  gen = no.as_np(model.mc)
  normals = gen.normal(size=100)

• MonteCarlo.state() method now works on OSX (was previously disabled due to an apparent bug in the MT19937 implementation).

Internal

• numerous minor updates
• use C++20 standard

v1.1.1

Functional changes

[none]

Internal

• Fix spurious MSVC17 compiler error on conda.