Change Log

v0.3.10 (23/03/2026)

• Bug fix: Python 3.14 compatibility — added explicit type casts at Cython call sites to prevent TypeError when numpy scalars are passed to typed Cython parameters (issue #25)

• Refactor: moved all 1D-specific logic from Voronoi into Voronoi1D overrides, removing dimension conditionals from the base class

• Voronoi now raises ValueError if directly instantiated with spatial_dimensions of 1 or 2, recommending Voronoi1D or Voronoi2D instead

v0.3.9 (23/03/2026)

• Bug fix: Voronoi1D.sample_site() now returns a Python float instead of a shape-(1,) NumPy array, fixing a TypeError in birth perturbation with Cython extensions compiled against older Cython versions and NumPy >= 2.0

v0.3.8 (13/03/2026)

• Fixed docstring of BayesianInversion

v0.3.7 (19/11/2025)

• Change to setup.py: avoid “-march=native” for “arm64” and “aarch64” machines

v0.3.6 (11/11/2025)

• Enhancement: SimulatedAnnealing now accepts the argument cooling_fraction

v0.3.5 (08/10/2025)

• Enhancement: State generated by Parameterization.initialize() now validated when creating a MarkovChain

v0.3.4 (02/08/2025)

• Bug fix: added else condition in bayesbay.prior.CustomPrior.perturb_value() to accommodate is_birth=False

v0.3.3 (16/04/2025)

• Enhancement: More robust checks when custom starting states (walkers_starting_states) are passed to BayesianInversion

v0.3.2 (16/04/2025)

• Enhancement: Enabled custom starting states in high-level API

  • BayesianInversion now takes optional argument walkers_starting_states

  • MarkovChain now takes optional argument starting_state

v0.3.1 (20/03/2024)

• API change: removed DimensionalityException

  • DimensionalityException replaced with -math.inf log probability in birth and death perturbations

• New feature: Voronoi1D

  • Voronoi1D.compute_interface_positions() added

• Enhancement: Voronoi1D.compute_cell_extents now deals with negative lower boundaries

v0.3.0 (15/03/2024)

• New feature: Nested parameter space (and discretization)

v0.2.4 (07/03/2024)

• Enhancement: __repr__ in some classes

v0.2.3 (07/03/2024)

• New feature: bayesbay.prior.LaplacePrior

• New feature: bayesbay.LogLikelihood.__repr__

• New feature: bayesbay.Target.__repr__

v0.2.2 (04/03/2024)

• New feature: Voronoi2D

  • Voronoi2D.get_tessellation_statistics() added

• API change: Voronoi1D

  • generalized all static methods:

    • interpolate_tessellation

    • _interpolate_tessellations

    • get_tessellation_statistics

    • plot_tessellation

    • plot_tessellations

    • plot_tessellation_statistics

    • plot_tessellation_density

v0.2.1 (27/02/2024)

• New feature: Voronoi2D

  • Voronoi2D.interpolate_tessellation() added

  • Voronoi2D.polygon added, allowing for prior probabilities defined within polygons

• API change: bayesbay.samplers._samplers

  • multiprocessing now carried out with joblib

v0.2.0 (14/02/2024)

• New feature:

  • Voronoi2D added

• New feature: pertubation_weights

  • weights can be updated

    • BaseBayesianInversion.set_perturbation_funcs(funcs, weights)

    • BaseMarkovChain.set_perturbation_funcs(funcs, weights)

  • weights can be assigned during initialization

    • BaseBayesianInversion(perturbation_weights, ...)

    • BaseMarkovChain(perturbation_weights, ...)

    • MarkovChain(perturbation_weights, ...)

• API change: bayesbay.parameters -> bayesbay.prior

  • UniformParameter -> UniformPrior

  • GaussianParameter -> GaussianPrior

  • CustomParameter -> CustomPrior

• API change: ParameterSpaceState and State

  • cache added to ParameterSpaceState

  • save_to_cache, load_from_cache, saved_in_cache added to ParameterSpaceState

  • By default, the ParameterSpaceState.cache is carried over when calling State.copy(), i.e., it is copied to the new ParameterSpaceState

• API change: bayesbay.discretization._voronoi

  • All methods in Voronoi1D, except for static ones, have been moved to Voronoi, which is now more general

v0.1.9 (05/02/2024)

• API change: LogLikelihood can accept log likelihood function or log likelihood ratio function

• API change: BayesianInversion now takes in instance of LogLikelihood, instead of a list of targets and forward functions

• New API: LogLikelihood.add_targets() method that allows more data to join the inversion

• New API: BayesianInversion.get_results_from_chains

• New API: Parameter.sample method

• Enhancement: __repr__ and __str__ for all classes

• Fix: bug in nearest index when birth from neighbour

v0.1.1 (15/01/2024)

• Add pyx file to Manifest.in

v0.1.0 (15/01/2024)

• First release