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.github/workflows/publish-to-test-pypi.yml

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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python 3.11
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- name: Set up Python 3.12
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uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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python-version: "3.12"
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- name: Install pypa/build
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run: >-

.github/workflows/test.yml

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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ["3.11", "3.12", "3.13"]
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python-version: ["3.12", "3.13", "3.14"]
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name: Set up Python ${{ matrix.python-version }}
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steps:

.readthedocs.yaml

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build:
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os: ubuntu-22.04
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tools:
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python: "3.11"
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python: "3.12"
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sphinx:
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configuration: docs/conf.py

docs/installation.rst

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Installation
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============
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PreliZ is tested on Python 3.11+. And depends on matplotlib, numba, NumPy, and SciPy. See `pyproject.toml <https://github.com/arviz-devs/preliz/blob/main/pyproject.toml>`_ for version information.
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PreliZ is tested on Python 3.12+. And depends on matplotlib, numba, NumPy, and SciPy. See `pyproject.toml <https://github.com/arviz-devs/preliz/blob/main/pyproject.toml>`_ for version information.
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For the latest release, you can install PreliZ either using pip or conda-forge:

environment-dev.yml

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- defaults
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- conda-forge
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dependencies:
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- python >= 3.11
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- python >= 3.12
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- pip
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- matplotlib>=3.9
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- numba>=0.62

environment-docs.yml

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- defaults
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- conda-forge
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dependencies:
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- python >= 3.11
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- python >= 3.12
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- matplotlib>=3.8
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- numba>=0.60
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- numpy>=2.0

environment.yml

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- defaults
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- conda-forge
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dependencies:
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- python >= 3.11
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- python >= 3.12
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- matplotlib>=3.8
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- numba>=0.60
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- numpy>=2.0

preliz/internal/distribution_helper.py

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import numpy as np
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from pytensor import function
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from pytensor.compile.function.types import Function, In
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from pytensor.compile import Function, In
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from pytensor.tensor import tensor
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from pytensor.tensor.random.type import random_generator_type
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preliz/tests/predictive_explorer.ipynb

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],
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"metadata": {
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"kernelspec": {
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"display_name": "test",
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"display_name": "preliz",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.5"
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},
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"vscode": {
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"interpreter": {
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"hash": "5b344a7d0839c309585d2ae27435157813d3b4ade1fa431f12bd272ea9135317"
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}
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"version": "3.11.8"
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}
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},
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"nbformat": 4,

pyproject.toml

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[project]
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name = "preliz"
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readme = "README.md"
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requires-python = ">=3.11"
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requires-python = ">=3.12"
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license = {file = "LICENSE"}
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authors = [
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{name = "ArviZ team", email = "arviz.devs@gmail.com"}
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"Operating System :: OS Independent",
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"Programming Language :: Python",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Programming Language :: Python :: 3.14",
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]
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dynamic = ["version"]
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description = "Exploring and eliciting probability distributions."
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dependencies = [
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"arviz_stats>=0.6.0",
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"arviz_stats>=1.0.0",
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"matplotlib>=3.9",
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"numba>=0.62",
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"numpy>=2.0",

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