automatic import of python-pycausalmatchopeneuler20.03

3 files changed, 204 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..7245ba4 100644
--- a/.gitignore
+++ b/.gitignore
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+/pycausalmatch-0.0.4.tar.gz
diff --git a/python-pycausalmatch.spec b/python-pycausalmatch.spec
new file mode 100644
index 0000000..5384907
--- /dev/null
+++ b/python-pycausalmatch.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-pycausalmatch
+Version:	0.0.4
+Release:	1
+Summary:	Causal Impact of an intervention integrated with control group selection
+License:	MIT License
+URL:		https://github.com/unbiasedmodeler/pycausalmatch
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d3/53/f92a3af9e3cf629832792704266531720c8ac8e925732d51f10a9ae5c8f6/pycausalmatch-0.0.4.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-dtw-python
+Requires:	python3-tfcausalimpact
+
+%description
+    ├── LICENSE
+    ├── Makefile           <- Makefile with commands like `make data` or `make train`
+    ├── README.md          <- The top-level README for developers using this project.
+    ├── data
+    │   ├── external       <- Data from third party sources.
+    │   ├── interim        <- Intermediate data that has been transformed.
+    │   ├── processed      <- The final, canonical data sets for modeling.
+    │   └── raw            <- The original, immutable data dump.
+    │
+    ├── docs               <- A default Sphinx project; see sphinx-doc.org for details
+    │
+    ├── models             <- Trained and serialized models, model predictions, or model summaries
+    │
+    ├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
+    │                         the creator's initials, and a short `-` delimited description, e.g.
+    │                         `1.0-jqp-initial-data-exploration`.
+    │
+    ├── references         <- Data dictionaries, manuals, and all other explanatory materials.
+    │
+    ├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
+    │   └── figures        <- Generated graphics and figures to be used in reporting
+    │
+    ├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
+    │                         generated with `pip freeze > requirements.txt`
+    │
+    ├── setup.py           <- makes project pip installable (pip install -e .) so src can be imported
+    ├── src                <- Source code for use in this project.
+    │   ├── __init__.py    <- Makes src a Python module
+    │   │
+    │   ├── data           <- Scripts to download or generate data
+    │   │   └── make_dataset.py
+    │   │
+    │   ├── features       <- Scripts to turn raw data into features for modeling
+    │   │   └── build_features.py
+    │   │
+    │   ├── models         <- Scripts to train models and then use trained models to make
+    │   │   │                 predictions
+    │   │   ├── predict_model.py
+    │   │   └── train_model.py
+    │   │
+    │   └── visualization  <- Scripts to create exploratory and results oriented visualizations
+    │       └── visualize.py
+    │
+
+%package -n python3-pycausalmatch
+Summary:	Causal Impact of an intervention integrated with control group selection
+Provides:	python-pycausalmatch
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-pycausalmatch
+    ├── LICENSE
+    ├── Makefile           <- Makefile with commands like `make data` or `make train`
+    ├── README.md          <- The top-level README for developers using this project.
+    ├── data
+    │   ├── external       <- Data from third party sources.
+    │   ├── interim        <- Intermediate data that has been transformed.
+    │   ├── processed      <- The final, canonical data sets for modeling.
+    │   └── raw            <- The original, immutable data dump.
+    │
+    ├── docs               <- A default Sphinx project; see sphinx-doc.org for details
+    │
+    ├── models             <- Trained and serialized models, model predictions, or model summaries
+    │
+    ├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
+    │                         the creator's initials, and a short `-` delimited description, e.g.
+    │                         `1.0-jqp-initial-data-exploration`.
+    │
+    ├── references         <- Data dictionaries, manuals, and all other explanatory materials.
+    │
+    ├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
+    │   └── figures        <- Generated graphics and figures to be used in reporting
+    │
+    ├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
+    │                         generated with `pip freeze > requirements.txt`
+    │
+    ├── setup.py           <- makes project pip installable (pip install -e .) so src can be imported
+    ├── src                <- Source code for use in this project.
+    │   ├── __init__.py    <- Makes src a Python module
+    │   │
+    │   ├── data           <- Scripts to download or generate data
+    │   │   └── make_dataset.py
+    │   │
+    │   ├── features       <- Scripts to turn raw data into features for modeling
+    │   │   └── build_features.py
+    │   │
+    │   ├── models         <- Scripts to train models and then use trained models to make
+    │   │   │                 predictions
+    │   │   ├── predict_model.py
+    │   │   └── train_model.py
+    │   │
+    │   └── visualization  <- Scripts to create exploratory and results oriented visualizations
+    │       └── visualize.py
+    │
+
+%package help
+Summary:	Development documents and examples for pycausalmatch
+Provides:	python3-pycausalmatch-doc
+%description help
+    ├── LICENSE
+    ├── Makefile           <- Makefile with commands like `make data` or `make train`
+    ├── README.md          <- The top-level README for developers using this project.
+    ├── data
+    │   ├── external       <- Data from third party sources.
+    │   ├── interim        <- Intermediate data that has been transformed.
+    │   ├── processed      <- The final, canonical data sets for modeling.
+    │   └── raw            <- The original, immutable data dump.
+    │
+    ├── docs               <- A default Sphinx project; see sphinx-doc.org for details
+    │
+    ├── models             <- Trained and serialized models, model predictions, or model summaries
+    │
+    ├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
+    │                         the creator's initials, and a short `-` delimited description, e.g.
+    │                         `1.0-jqp-initial-data-exploration`.
+    │
+    ├── references         <- Data dictionaries, manuals, and all other explanatory materials.
+    │
+    ├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
+    │   └── figures        <- Generated graphics and figures to be used in reporting
+    │
+    ├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
+    │                         generated with `pip freeze > requirements.txt`
+    │
+    ├── setup.py           <- makes project pip installable (pip install -e .) so src can be imported
+    ├── src                <- Source code for use in this project.
+    │   ├── __init__.py    <- Makes src a Python module
+    │   │
+    │   ├── data           <- Scripts to download or generate data
+    │   │   └── make_dataset.py
+    │   │
+    │   ├── features       <- Scripts to turn raw data into features for modeling
+    │   │   └── build_features.py
+    │   │
+    │   ├── models         <- Scripts to train models and then use trained models to make
+    │   │   │                 predictions
+    │   │   ├── predict_model.py
+    │   │   └── train_model.py
+    │   │
+    │   └── visualization  <- Scripts to create exploratory and results oriented visualizations
+    │       └── visualize.py
+    │
+
+%prep
+%autosetup -n pycausalmatch-0.0.4
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-pycausalmatch -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.4-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..f4ed130
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+c38badf6482bf080898b272cedb987f2  pycausalmatch-0.0.4.tar.gz