v0.8.0

Added

• Add simpy and treat-sim to the environment, as these were required in the notebooks in docs/.
• Add nbqa and pylint to the environment for linting, plus a relevant files lint.sh and .pylintrc.
• Add tests for output_analysis functions (functional, unit and back tests).
• Add validation of parameters in ReplicationsAlgorithm.
• Add validation of data type in OnlineStatistics.

Changed

• Simplified distribution value type tests to a single test where possible using pytest.mark.parametrize.
• Linted .py and .ipynb files using pylint (most addressed, some remain unresolved).
• Provided advice on tests, building docs and linting in the README.md.
• 00_front_page.md now just imported README.md (reducing duplication, and keping it up-to-date).

Removed

• Removed duplicate sw21_tutorial.ipynb.

Fixed

• Within confidence_interval_method, convert data provided to OnlineStatistics to np.array so that it is actually used to update the class (when before, it was not, as it was a list).

v0.8.0

Added

• Add simpy and treat-sim to the environment, as these were required in the notebooks in docs/.
• Add nbqa and pylint to the environment for linting, plus a relevant files lint.sh and .pylintrc.
• Add tests for output_analysis functions (functional, unit and back tests).
• Add validation of parameters in ReplicationsAlgorithm.
• Add validation of data type in OnlineStatistics.

Changed

• Simplified distribution value type tests to a single test where possible using pytest.mark.parametrize.
• Linted .py and .ipynb files using pylint (most addressed, some remain unresolved).
• Provided advice on tests, building docs and linting in the README.md.
• 00_front_page.md now just imported README.md (reducing duplication, and keping it up-to-date).

Removed

• Removed duplicate sw21_tutorial.ipynb.

Fixed

• Within confidence_interval_method, convert data provided to OnlineStatistics to np.array so that it is actually used to update the class (when before, it was not, as it was a list).

v0.7.1

Fixed

• Patched ReplicationsAlgorithm look ahead will now correctly use _klimit() to calculate extra no. replications to run.

v0.7.0

Added

• output_analysis module - focussed at the moment on selecting the number of replications
• ReplicationsAlgorithm that implements the automated approach to selecting the number of replications for a single performance measures.
• ReplicationsAlgorithmModelAdapter - a Protocol to adapt any model to work with with ReplicationsAlgorithm
• confidence_interval_method - select the number of replication using the classical confidence interval method
• plotly_confidence_interval_method - visualise the confidence interval method using plotly.
• ReplicationObserver a Protocol for observering the replications algorithm
• ReplicationTabulizer record replications algorithm in a pandas dataframe.
• Documentation for ReplicationsAlgorithm

Updated

• sim-tools dev conda environment now pip installs local python package in editable model.

v0.6.1

Fixed

• BUILD: added rich library.

Removed

• BUILD: scipy Dependency

v0.6.0

Added

• Added nspp_plot and nspp_simulation functions to time_dependent module.
• DOCS: added nspp_plot and nspp_simulation examples to time dependent notebook
• DOCS: simple trace notebook

Changed

• BREAKING: to prototype trace functionality. config name -> class breaks with v0.5.0

Fixed

• THINNING: patched compatibility of thinning algorithm to work with numpy >= v2. np.Inf -> np.inf

v0.5.0

Added

• EXPERIMENTAL: added trace module with Traceable class for colour coding output from different processes and tracking individual patients.

Fixed

• DIST: fix to NSPPThinning sampling to pre-calcualte mean IAT to ensure that correct exponential mean is used.
• DIST: normal distribution uses minimum value instead of resampling on negative value.

v0.4.0

Changes

• BUILD: Dropped legacy setuptools and migrated package build to hatch
• BUILD: Removed setup.py, requirements.txt and MANIFEST in favour of pyproject.toml

v0.3.3

PATCH:

• PATCH: distributions.Discrete was not returning numpy arrays.

v0.3.2

PATCH:

• Update Github action to publish to pypi. Use setuptools instead of build