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Adding pattern-causality #29160

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81 changes: 81 additions & 0 deletions recipes/pattern-causality/meta.yaml
Original file line number Diff line number Diff line change
@@ -0,0 +1,81 @@
{% set name = "pattern-causality" %}
{% set version = "1.0.3" %}

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

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

build:
number: 0
script: {{ PYTHON }} -m pip install . -vv
skip: true # [win32 or py<38]
features:
- vc14 # [win]

requirements:
build:
- {{ compiler('cxx') }}
- python
- pip
- numpy >=1.19.0
- setuptools >=45
- wheel
- llvm-openmp # [osx]
- vs2017_win-64 # [win]
- m2w64-toolchain # [win]
host:
- python >=3.8
- pip
- numpy >=1.19.0
- pandas >=1.0.0
- setuptools >=45
- wheel
- llvm-openmp # [osx]
run:
- python >=3.8
- {{ pin_compatible('numpy', min_pin='x.x', max_pin='x.x') }}
- pandas >=1.0.0
- llvm-openmp # [osx]

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

about:
home: https://github.com/skstavroglou/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/skstavroglou/pattern_causality_py#readme
dev_url: https://github.com/skstavroglou/pattern_causality_py

extra:
recipe-maintainers:
- wanghui5801
- skstavroglou
maintainers:
- Hui Wang <huiw1128@gmail.com>
authors:
- Stavros Stavroglou <stavros.k.stavroglou@gmail.com>
- Athanasios Pantelous <Athanasios.Pantelous@monash.edu>
- Hui Wang <huiw1128@gmail.com>
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