v1.3.0 - 2025-08-05

This release introduces several new features including input modelling, code-based model validation, new key performance indicators, and more - as well as improvements to documentation and code.

Added

• Created notebook generating a synthetic dataset.
• Created notebook for input modelling using distfit.
• Add mock paper.
• Add pytest-cov and instructions for running with coverage.
• Add code-based model validation, via tests comparing results against analytical queueing theory model.
• Add two new metrics: mean time in system and time-weighted mean number of patients in system.
• Add seed offset to allow change from use of run number.

Changed

• Removed internal distributions and tests, switched to import sim-tools for these features (with corresponding tests in the sim-tools repo).
• Amended pyproject.toml (include author name & description).
• Renamed and replaced all "rap_template_python_des" with "pydesrap_mms", and moved away from "template" phrasing.
• Simplified README so more relevant to repository content.
• Moved each function/class into its own file.
• Simplified and standardised NumPy style docstrings.
• Changed default precision when choosing replications to 0.1.
• Amend run_notebooks.sh so can use to run a single notebook.
• Changed default number of replications to 15.
• Can choose operating system when manually trigger tests GitHub action.
• Add imports to __init__.py so can import using e.g. from simulation import Model rather than from simulation.model import Model.