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Changelog

All notable changes to Xentica project will be documented in this file.

The format is based on Keep a Changelog and this project adheres to Semantic Versioning.

Unreleased

0.1.1 - 2018-07-24

Changed

  • Optimization.
    • Optimize BigBang/PrimordialSoup seed generation.
  • Examples.
    • Add Shifting Sands example.
  • Refactoring.
    • Make some private properties public.
    • Rename LocalRandom streams.
    • Add properties getter to ContainerProperty.
    • Move GPU stuff to separate classes.
    • Decompose BSCA class creation into smaller methods.
    • Move core.topology.mixins to core.mixins.

Added

  • QA.
    • Add pylint config.
    • Add pylint run script.
  • Tests.
    • Add test for non-uniform buffer interactions.
    • Add test for unset viewport.

Fixed

  • Major fixes.
    • Fix direct buffer assignments.
    • Fix property assignments.
    • Fix direct Variable assignments.
  • Minor fixes.
    • Fix Lattice.index_to_coord()
    • Fix Experiment.seed.generate() arguments.
    • Fix RandInt to generate NumPy arrays.
  • Refactoring.
    • Fix most of pylint issues through the code.
  • Tests.
    • Fix BigBang/PrimordialSoup tests.
    • Fix checksums in tests.
  • Miscellaneous.
    • Fix typos in docstrings.

0.1.0 - 2018-05-05

Added

  • Base functionality.
    • Translate Python functions describing CA logic into CUDA C.
    • Evolve CA step by step, using resulting GPU kernels.
    • Render the current CA state into 2D NumPy array for subsequent visualization.
    • Save and load current CA state.
  • Multi-dimensional CA topologies.
    • N-dimensional orthogonal lattice.
    • N-dimensional cases of Moore and Von Neumann neighborhoods.
    • Wrap the board into N-torus.
    • Surround the board by static cells.
  • CA inner logic.
    • Multiple integer 'properties' per each cell state.
    • Buffered interaction between neighbors.
    • Lazy read access and deferred write access to GPU memory.
    • Packing and unpacking cell's state into raw bit sequence.
    • Mixed values in expressions with variables/properties.
  • Rendering.
    • Computed colors per each cell.
    • 'Moving average' color effect, for smoother visualization.
    • Projection into 2D plain from higher dimensions.
  • Experiments.
    • Experiment classes describing initial state and meta-parameters.
    • Independent deterministic RNG stream per each CA.
    • 'Big Bang' and 'Primordial Soup' initial random patterns.
  • Bridge with Moire GUI.
  • Tests.
    • 100% code coverage by unittests.
    • Performance check script.
  • Documentation.
    • Throughout API documentation via docstrings.
    • Sphinx configuration to automatically build and publish at Read The Docs.
    • Project overview.
    • Brief installation instructions.
    • Placeholder for tutorial.
  • Miscellaneous.
    • MIT License.
    • Readme.
    • Contributing Guidelines.
    • Code of Conduct
    • Changelog.