pattern_causality_py/meta.yaml at main · pattern-causality/pattern_causality_py · GitHub

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{% set name = "pattern-causality" %}
{% set version = "1.0.3" %}

package:
  name: {{ name|lower }}
  version: {{ version }}

source:
  url: https://github.com/pattern-causality/pattern_causality_py/releases/download/v{{ version }}/pattern_causality-{{ version }}.tar.gz
  sha256: 99d42253d559992eb0137356ad52036789f00dd87ee7f5b1e4e6ebbad5e55141

build:
  number: 0
  skip: true  # [win]
  script: >-
    {% if target_platform == "osx-64" %}
    export SDKROOT=$(xcrun --sdk macosx --show-sdk-path) && export CC=${CC} && export CXX=${CXX} && export CFLAGS="${CFLAGS} -isysroot ${SDKROOT} -I${SDKROOT}/usr/include -mmacosx-version-min=10.9 -Xpreprocessor -fopenmp" && export CXXFLAGS="${CXXFLAGS} -stdlib=libc++ -isysroot ${SDKROOT} -I${SDKROOT}/usr/include -I${SDKROOT}/usr/include/c++/v1 -mmacosx-version-min=10.9 -Xpreprocessor -fopenmp" && export LDFLAGS="${LDFLAGS} -stdlib=libc++ -isysroot ${SDKROOT} -mmacosx-version-min=10.9 -lomp" && {{ PYTHON }} -m pip install . --no-deps -vv
    {% else %}
    {{ PYTHON }} -m pip install . --no-deps -vv
    {% endif %}

requirements:
  build:
    - {{ compiler('c') }}
    - {{ compiler('cxx') }}
    - {{ stdlib('c') }}
    - make  # [unix]
    - cmake  # [win]
    - llvm-openmp >=14.0.6  # [osx]
  host:
    - python
    - pip
    - numpy
    - setuptools >=45
    - wheel
    - llvm-openmp >=14.0.6  # [osx]
    - libcxx  # [osx]
  run:
    - python
    - {{ pin_compatible('numpy') }}
    - pandas >=1.0.0
    - llvm-openmp >=14.0.6  # [osx]
    - libcxx  # [osx]

test:
  requires:
    - pip
    - pytest >=6.0
    - pytest-cov >=2.0
  source_files:
    - tests
    - setup.py
    - pyproject.toml
  imports:
    - pattern_causality
  commands:
    - pip check
    - pytest tests -v --import-mode=append

about:
  home: https://github.com/pattern-causality/pattern_causality_py
  license: BSD-3-Clause
  license_family: BSD
  license_file: LICENSE
  summary: Pattern Causality Algorithm in Python
  description: |
    A comprehensive Python library that implements the Pattern Causality algorithm
    for analyzing causal relationships in time series data. This package provides
    efficient tools for detecting and quantifying causality patterns between
    multiple time series, with a particular focus on nonlinear complex systems.
  doc_url: https://github.com/pattern-causality/pattern_causality_py#readme
  dev_url: https://github.com/pattern-causality/pattern_causality_py

extra:
  recipe-maintainers:
    - wanghui5801