neworder - 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

Scientific Software - Peer-reviewed - Python
Published by virgesmith 8 months ago

neworder - 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

Scientific Software - Peer-reviewed - Python
Published by virgesmith over 1 year ago

neworder - 1.4.1

patch to fix documentation

Scientific Software - Peer-reviewed - Python
Published by virgesmith about 2 years ago

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.

sh 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

Scientific Software - Peer-reviewed - Python
Published by virgesmith over 2 years ago

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

Scientific Software - Peer-reviewed - Python
Published by virgesmith over 2 years ago

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

Scientific Software - Peer-reviewed - Python
Published by virgesmith almost 3 years ago

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.:

py 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

Scientific Software - Peer-reviewed - Python
Published by virgesmith about 3 years ago

neworder - v1.1.1

Functional changes

[none]

Internal

Fix spurious MSVC17 compiler error on conda.

Scientific Software - Peer-reviewed - Python
Published by virgesmith almost 4 years ago

neworder - v1.1.0

Functional changes

All python code, including examples, now have type annotations. Type stubs have also been generated for the core (C++) library. Your IDE should now display signatures and docstrings for each function. The API documentation on the website is now redundant and has been reomved.
Domain edge behaviours, previously an int class member of Domain, are now an enum Edge. e.g. neworder.Domain.WRAP becomes neworder.Edge.WRAP.

Examples

The Conway example has been improved.

Internal

Removed some deprecated function calls, e.g DataFrame.append.
rename master to main.
changes to CI builds.

Scientific Software - Peer-reviewed - Python
Published by virgesmith almost 4 years ago

neworder - v1.0.1

Functional changes

add StateGrid class to domains

Examples

convert Schelling example to use StateGrid
add Conway's game of life example that uses StateGrid
minor corrections to documentation
docker container now installs neworder from package repo

Internal

add lint (flake8) and config

Scientific Software - Peer-reviewed - Python
Published by virgesmith over 4 years ago

neworder - v1.0.0

neworder 1.0.0

Release to coincide with publication in the Journal of Open Source Software

Breaking changes

Model.timeline and Model.mc are now class attributes where they were previously methods. (Change e.g. model.mc().ustream(10) to model.mc.ustream(10))

Functional changes

Add initial spatial domain support (neworder.Domain, neworder.Space):
- continuous rectangular domain in n dimensions
- domain edges can be wrapped, contrained, mirrored or unbounded
- calculate positions, distances, proximity and movement for points in the domain
New example using the domain functionality: boids flocking
Migrate existing examples to use new domain functionality, where appropriate
Fixes for wolf-sheep predation example

Other

Various minor improvements resulting from JOSS reviewer comments.

Internals

add a virtual clone method to Timeline, simplifying model construction.
migration of most CI builds to github workflows.

Scientific Software - Peer-reviewed - Python
Published by virgesmith over 4 years ago

neworder - 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__

Scientific Software - Peer-reviewed - Python
Published by virgesmith almost 5 years ago

neworder - v0.2.1

neworder 0.2.1

no functional change

Bugfixes

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

Scientific Software - Peer-reviewed - Python
Published by virgesmith about 5 years ago

neworder - 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

Scientific Software - Peer-reviewed - Python
Published by virgesmith about 5 years ago

neworder - v0.1.2

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