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.github/PULL_REQUEST_TEMPLATE.md

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## Major / Breaking Changes
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## Bugfixes / New features
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## New features
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## Docs / Maintenance
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## Bugfixes
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## Documentation
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## Maintenance
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.github/release.yml

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- title: Major Changes 🛠
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labels:
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- major
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- title: New Features & Bugfixes 🎉
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- title: New Features 🎉
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labels:
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- defects
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- enhancements
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- feature-request
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- title: Docs & Maintenance 🔧
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- feature request
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- title: Bugfixes 🪲
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labels:
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- bug
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- title: Documentation 📖
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- docs
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- installation
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- title: Maintenance 🔧
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.pre-commit-config.yaml

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args: [--rcfile=.pylintrc]
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files: ^pymc/
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exclude: (?x)(pymc/_version.py)
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- repo: https://github.com/PyCQA/pydocstyle
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rev: 6.1.1
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hooks:
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- id: pydocstyle
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args:
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- --ignore=D100,D101,D102,D103,D104,D105,D107,D200,D202,D203,D204,D205,D209,D212,D213,D301,D400,D401,D403,D413,D415,D417
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files: ^pymc/
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exclude: ^pymc/tests/
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- repo: https://github.com/MarcoGorelli/madforhooks
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README.rst

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---------------
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- `Bambi <https://github.com/bambinos/bambi>`__: BAyesian Model-Building Interface (BAMBI) in Python.
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- `calibr8 <https://calibr8.readthedocs.io>`__: A toolbox for constructing detailed observation models to be used as likelihoods in PyMC.
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- `gumbi <https://github.com/JohnGoertz/Gumbi>`__: A high-level interface for building GP models.
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- `SunODE <https://github.com/aseyboldt/sunode>`__: Fast ODE solver, much faster than the one that comes with PyMC.
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- `pymc-learn <https://github.com/pymc-learn/pymc-learn>`__: Custom PyMC models built on top of pymc3_models/scikit-learn API
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- `fenics-pymc3 <https://github.com/IvanYashchuk/fenics-pymc3>`__: Differentiable interface to FEniCS, a library for solving partial differential equations.
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Domain specific
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---------------
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- `Exoplanet <https://github.com/dfm/exoplanet>`__: a toolkit for modeling of transit and/or radial velocity observations of exoplanets and other astronomical time series.
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- `NiPyMC <https://github.com/PsychoinformaticsLab/nipymc>`__: Bayesian mixed-effects modeling of fMRI data in Python.
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- `beat <https://github.com/hvasbath/beat>`__: Bayesian Earthquake Analysis Tool.
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- `cell2location <https://github.com/BayraktarLab/cell2location>`__: Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics.
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- `CausalPy <https://github.com/pymc-labs/CausalPy>`__: A package focussing on causal inference in quasi-experimental settings.
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Please contact us if your software is not listed here.
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pymc/blocking.py

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"""Map 1D concatenated array to a dictionary of variables in their original spaces.
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Parameters
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==========
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----------
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The array to map.
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start_point

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