automatic import of python-pykrige

3 files changed, 450 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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--- a/.gitignore
+++ b/.gitignore
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+/PyKrige-1.7.0.tar.gz
diff --git a/python-pykrige.spec b/python-pykrige.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-PyKrige
+Version:	1.7.0
+Release:	1
+Summary:	Kriging Toolkit for Python.
+License:	BSD-3-Clause
+URL:		https://github.com/GeoStat-Framework/PyKrige
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/2c/d4/712e81c60423a036442acd11f30590c101b579de5e3531633b93b84b0112/PyKrige-1.7.0.tar.gz
+
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-gstools
+Requires:	python3-scipy
+Requires:	python3-pillow
+Requires:	python3-scikit-learn
+Requires:	python3-m2r2
+Requires:	python3-matplotlib
+Requires:	python3-numpydoc
+Requires:	python3-sphinx
+Requires:	python3-sphinx-gallery
+Requires:	python3-sphinx-rtd-theme
+Requires:	python3-matplotlib
+Requires:	python3-scikit-learn
+Requires:	python3-pytest-cov
+Requires:	python3-scikit-learn
+Requires:	python3-gstools
+
+%description
+# PyKrige
+
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3738604.svg)](https://doi.org/10.5281/zenodo.3738604)
+[![PyPI version](https://badge.fury.io/py/PyKrige.svg)](https://badge.fury.io/py/PyKrige)
+[![Conda Version](https://img.shields.io/conda/vn/conda-forge/pykrige.svg)](https://anaconda.org/conda-forge/pykrige)
+[![Build Status](https://github.com/GeoStat-Framework/PyKrige/workflows/Continuous%20Integration/badge.svg?branch=main)](https://github.com/GeoStat-Framework/PyKrige/actions)
+[![Coverage Status](https://coveralls.io/repos/github/GeoStat-Framework/PyKrige/badge.svg?branch=main)](https://coveralls.io/github/GeoStat-Framework/PyKrige?branch=main)
+[![Documentation Status](https://readthedocs.org/projects/pykrige/badge/?version=stable)](http://pykrige.readthedocs.io/en/stable/?badge=stable)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+
+
+<p align="center">
+<img src="https://github.com/GeoStat-Framework/GeoStat-Framework.github.io/raw/master/docs/source/pics/PyKrige_250.png" alt="PyKrige-LOGO" width="251px"/>
+</p>
+
+Kriging Toolkit for Python.
+
+## Purpose
+
+The code supports 2D and 3D ordinary and universal kriging. Standard
+variogram models (linear, power, spherical, gaussian, exponential) are
+built in, but custom variogram models can also be used. The 2D universal
+kriging code currently supports regional-linear, point-logarithmic, and
+external drift terms, while the 3D universal kriging code supports a
+regional-linear drift term in all three spatial dimensions. Both
+universal kriging classes also support generic 'specified' and
+'functional' drift capabilities. With the 'specified' drift capability,
+the user may manually specify the values of the drift(s) at each data
+point and all grid points. With the 'functional' drift capability, the
+user may provide callable function(s) of the spatial coordinates that
+define the drift(s). The package includes a module that contains
+functions that should be useful in working with ASCII grid files (`\*.asc`).
+
+See the documentation at <http://pykrige.readthedocs.io/> for more
+details and examples.
+
+## Installation
+
+PyKrige requires Python 3.5+ as well as numpy, scipy. It can be
+installed from PyPi with,
+
+``` bash
+pip install pykrige
+```
+
+scikit-learn is an optional dependency needed for parameter tuning and
+regression kriging. matplotlib is an optional dependency needed for
+plotting.
+
+If you use conda, PyKrige can be installed from the <span
+class="title-ref">conda-forge</span> channel with,
+
+``` bash
+conda install -c conda-forge pykrige
+```
+
+## Features
+
+### Kriging algorithms
+
+-   `OrdinaryKriging`: 2D ordinary kriging with estimated mean
+-   `UniversalKriging`: 2D universal kriging providing drift terms
+-   `OrdinaryKriging3D`: 3D ordinary kriging
+-   `UniversalKriging3D`: 3D universal kriging
+-   `RegressionKriging`: An implementation of Regression-Kriging
+-   `ClassificationKriging`: An implementation of Simplicial Indicator
+    Kriging
+
+### Wrappers
+
+-   `rk.Krige`: A scikit-learn wrapper class for Ordinary and Universal
+    Kriging
+
+### Tools
+
+-   `kriging_tools.write_asc_grid`: Writes gridded data to ASCII grid file (`\*.asc`)
+-   `kriging_tools.read_asc_grid`: Reads ASCII grid file (`\*.asc`)
+-   `kriging_tools.write_zmap_grid`: Writes gridded data to zmap file (`\*.zmap`)
+-   `kriging_tools.read_zmap_grid`: Reads zmap file (`\*.zmap`)
+
+### Kriging Parameters Tuning
+
+A scikit-learn compatible API for parameter tuning by cross-validation
+is exposed in
+[sklearn.model\_selection.GridSearchCV](http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html).
+See the [Krige
+CV](http://pykrige.readthedocs.io/en/latest/examples/08_krige_cv.html#sphx-glr-examples-08-krige-cv-py)
+example for a more practical illustration.
+
+### Regression Kriging
+
+[Regression kriging](https://en.wikipedia.org/wiki/Regression-Kriging)
+can be performed with
+[pykrige.rk.RegressionKriging](http://pykrige.readthedocs.io/en/latest/examples/07_regression_kriging2d.html).
+This class takes as parameters a scikit-learn regression model, and
+details of either the `OrdinaryKriging` or the `UniversalKriging`
+class, and performs a correction step on the ML regression prediction.
+
+A demonstration of the regression kriging is provided in the
+[corresponding
+example](http://pykrige.readthedocs.io/en/latest/examples/07_regression_kriging2d.html#sphx-glr-examples-07-regression-kriging2d-py).
+
+### Classification Kriging
+
+[Simplifical Indicator
+kriging](https://www.sciencedirect.com/science/article/abs/pii/S1002070508600254)
+can be performed with
+[pykrige.ck.ClassificationKriging](http://pykrige.readthedocs.io/en/latest/examples/10_classification_kriging2d.html).
+This class takes as parameters a scikit-learn classification model, and
+details of either the `OrdinaryKriging` or the `UniversalKriging` class,
+and performs a correction step on the ML classification prediction.
+
+A demonstration of the classification kriging is provided in the
+[corresponding
+example](http://pykrige.readthedocs.io/en/latest/examples/10_classification_kriging2d.html#sphx-glr-examples-10-classification-kriging2d-py).
+
+## License
+
+PyKrige uses the BSD 3-Clause License.
+
+
+%package -n python3-PyKrige
+Summary:	Kriging Toolkit for Python.
+Provides:	python-PyKrige
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-cffi
+BuildRequires:	gcc
+BuildRequires:	gdb
+%description -n python3-PyKrige
+# PyKrige
+
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3738604.svg)](https://doi.org/10.5281/zenodo.3738604)
+[![PyPI version](https://badge.fury.io/py/PyKrige.svg)](https://badge.fury.io/py/PyKrige)
+[![Conda Version](https://img.shields.io/conda/vn/conda-forge/pykrige.svg)](https://anaconda.org/conda-forge/pykrige)
+[![Build Status](https://github.com/GeoStat-Framework/PyKrige/workflows/Continuous%20Integration/badge.svg?branch=main)](https://github.com/GeoStat-Framework/PyKrige/actions)
+[![Coverage Status](https://coveralls.io/repos/github/GeoStat-Framework/PyKrige/badge.svg?branch=main)](https://coveralls.io/github/GeoStat-Framework/PyKrige?branch=main)
+[![Documentation Status](https://readthedocs.org/projects/pykrige/badge/?version=stable)](http://pykrige.readthedocs.io/en/stable/?badge=stable)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+
+
+<p align="center">
+<img src="https://github.com/GeoStat-Framework/GeoStat-Framework.github.io/raw/master/docs/source/pics/PyKrige_250.png" alt="PyKrige-LOGO" width="251px"/>
+</p>
+
+Kriging Toolkit for Python.
+
+## Purpose
+
+The code supports 2D and 3D ordinary and universal kriging. Standard
+variogram models (linear, power, spherical, gaussian, exponential) are
+built in, but custom variogram models can also be used. The 2D universal
+kriging code currently supports regional-linear, point-logarithmic, and
+external drift terms, while the 3D universal kriging code supports a
+regional-linear drift term in all three spatial dimensions. Both
+universal kriging classes also support generic 'specified' and
+'functional' drift capabilities. With the 'specified' drift capability,
+the user may manually specify the values of the drift(s) at each data
+point and all grid points. With the 'functional' drift capability, the
+user may provide callable function(s) of the spatial coordinates that
+define the drift(s). The package includes a module that contains
+functions that should be useful in working with ASCII grid files (`\*.asc`).
+
+See the documentation at <http://pykrige.readthedocs.io/> for more
+details and examples.
+
+## Installation
+
+PyKrige requires Python 3.5+ as well as numpy, scipy. It can be
+installed from PyPi with,
+
+``` bash
+pip install pykrige
+```
+
+scikit-learn is an optional dependency needed for parameter tuning and
+regression kriging. matplotlib is an optional dependency needed for
+plotting.
+
+If you use conda, PyKrige can be installed from the <span
+class="title-ref">conda-forge</span> channel with,
+
+``` bash
+conda install -c conda-forge pykrige
+```
+
+## Features
+
+### Kriging algorithms
+
+-   `OrdinaryKriging`: 2D ordinary kriging with estimated mean
+-   `UniversalKriging`: 2D universal kriging providing drift terms
+-   `OrdinaryKriging3D`: 3D ordinary kriging
+-   `UniversalKriging3D`: 3D universal kriging
+-   `RegressionKriging`: An implementation of Regression-Kriging
+-   `ClassificationKriging`: An implementation of Simplicial Indicator
+    Kriging
+
+### Wrappers
+
+-   `rk.Krige`: A scikit-learn wrapper class for Ordinary and Universal
+    Kriging
+
+### Tools
+
+-   `kriging_tools.write_asc_grid`: Writes gridded data to ASCII grid file (`\*.asc`)
+-   `kriging_tools.read_asc_grid`: Reads ASCII grid file (`\*.asc`)
+-   `kriging_tools.write_zmap_grid`: Writes gridded data to zmap file (`\*.zmap`)
+-   `kriging_tools.read_zmap_grid`: Reads zmap file (`\*.zmap`)
+
+### Kriging Parameters Tuning
+
+A scikit-learn compatible API for parameter tuning by cross-validation
+is exposed in
+[sklearn.model\_selection.GridSearchCV](http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html).
+See the [Krige
+CV](http://pykrige.readthedocs.io/en/latest/examples/08_krige_cv.html#sphx-glr-examples-08-krige-cv-py)
+example for a more practical illustration.
+
+### Regression Kriging
+
+[Regression kriging](https://en.wikipedia.org/wiki/Regression-Kriging)
+can be performed with
+[pykrige.rk.RegressionKriging](http://pykrige.readthedocs.io/en/latest/examples/07_regression_kriging2d.html).
+This class takes as parameters a scikit-learn regression model, and
+details of either the `OrdinaryKriging` or the `UniversalKriging`
+class, and performs a correction step on the ML regression prediction.
+
+A demonstration of the regression kriging is provided in the
+[corresponding
+example](http://pykrige.readthedocs.io/en/latest/examples/07_regression_kriging2d.html#sphx-glr-examples-07-regression-kriging2d-py).
+
+### Classification Kriging
+
+[Simplifical Indicator
+kriging](https://www.sciencedirect.com/science/article/abs/pii/S1002070508600254)
+can be performed with
+[pykrige.ck.ClassificationKriging](http://pykrige.readthedocs.io/en/latest/examples/10_classification_kriging2d.html).
+This class takes as parameters a scikit-learn classification model, and
+details of either the `OrdinaryKriging` or the `UniversalKriging` class,
+and performs a correction step on the ML classification prediction.
+
+A demonstration of the classification kriging is provided in the
+[corresponding
+example](http://pykrige.readthedocs.io/en/latest/examples/10_classification_kriging2d.html#sphx-glr-examples-10-classification-kriging2d-py).
+
+## License
+
+PyKrige uses the BSD 3-Clause License.
+
+
+%package help
+Summary:	Development documents and examples for PyKrige
+Provides:	python3-PyKrige-doc
+%description help
+# PyKrige
+
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3738604.svg)](https://doi.org/10.5281/zenodo.3738604)
+[![PyPI version](https://badge.fury.io/py/PyKrige.svg)](https://badge.fury.io/py/PyKrige)
+[![Conda Version](https://img.shields.io/conda/vn/conda-forge/pykrige.svg)](https://anaconda.org/conda-forge/pykrige)
+[![Build Status](https://github.com/GeoStat-Framework/PyKrige/workflows/Continuous%20Integration/badge.svg?branch=main)](https://github.com/GeoStat-Framework/PyKrige/actions)
+[![Coverage Status](https://coveralls.io/repos/github/GeoStat-Framework/PyKrige/badge.svg?branch=main)](https://coveralls.io/github/GeoStat-Framework/PyKrige?branch=main)
+[![Documentation Status](https://readthedocs.org/projects/pykrige/badge/?version=stable)](http://pykrige.readthedocs.io/en/stable/?badge=stable)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+
+
+<p align="center">
+<img src="https://github.com/GeoStat-Framework/GeoStat-Framework.github.io/raw/master/docs/source/pics/PyKrige_250.png" alt="PyKrige-LOGO" width="251px"/>
+</p>
+
+Kriging Toolkit for Python.
+
+## Purpose
+
+The code supports 2D and 3D ordinary and universal kriging. Standard
+variogram models (linear, power, spherical, gaussian, exponential) are
+built in, but custom variogram models can also be used. The 2D universal
+kriging code currently supports regional-linear, point-logarithmic, and
+external drift terms, while the 3D universal kriging code supports a
+regional-linear drift term in all three spatial dimensions. Both
+universal kriging classes also support generic 'specified' and
+'functional' drift capabilities. With the 'specified' drift capability,
+the user may manually specify the values of the drift(s) at each data
+point and all grid points. With the 'functional' drift capability, the
+user may provide callable function(s) of the spatial coordinates that
+define the drift(s). The package includes a module that contains
+functions that should be useful in working with ASCII grid files (`\*.asc`).
+
+See the documentation at <http://pykrige.readthedocs.io/> for more
+details and examples.
+
+## Installation
+
+PyKrige requires Python 3.5+ as well as numpy, scipy. It can be
+installed from PyPi with,
+
+``` bash
+pip install pykrige
+```
+
+scikit-learn is an optional dependency needed for parameter tuning and
+regression kriging. matplotlib is an optional dependency needed for
+plotting.
+
+If you use conda, PyKrige can be installed from the <span
+class="title-ref">conda-forge</span> channel with,
+
+``` bash
+conda install -c conda-forge pykrige
+```
+
+## Features
+
+### Kriging algorithms
+
+-   `OrdinaryKriging`: 2D ordinary kriging with estimated mean
+-   `UniversalKriging`: 2D universal kriging providing drift terms
+-   `OrdinaryKriging3D`: 3D ordinary kriging
+-   `UniversalKriging3D`: 3D universal kriging
+-   `RegressionKriging`: An implementation of Regression-Kriging
+-   `ClassificationKriging`: An implementation of Simplicial Indicator
+    Kriging
+
+### Wrappers
+
+-   `rk.Krige`: A scikit-learn wrapper class for Ordinary and Universal
+    Kriging
+
+### Tools
+
+-   `kriging_tools.write_asc_grid`: Writes gridded data to ASCII grid file (`\*.asc`)
+-   `kriging_tools.read_asc_grid`: Reads ASCII grid file (`\*.asc`)
+-   `kriging_tools.write_zmap_grid`: Writes gridded data to zmap file (`\*.zmap`)
+-   `kriging_tools.read_zmap_grid`: Reads zmap file (`\*.zmap`)
+
+### Kriging Parameters Tuning
+
+A scikit-learn compatible API for parameter tuning by cross-validation
+is exposed in
+[sklearn.model\_selection.GridSearchCV](http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html).
+See the [Krige
+CV](http://pykrige.readthedocs.io/en/latest/examples/08_krige_cv.html#sphx-glr-examples-08-krige-cv-py)
+example for a more practical illustration.
+
+### Regression Kriging
+
+[Regression kriging](https://en.wikipedia.org/wiki/Regression-Kriging)
+can be performed with
+[pykrige.rk.RegressionKriging](http://pykrige.readthedocs.io/en/latest/examples/07_regression_kriging2d.html).
+This class takes as parameters a scikit-learn regression model, and
+details of either the `OrdinaryKriging` or the `UniversalKriging`
+class, and performs a correction step on the ML regression prediction.
+
+A demonstration of the regression kriging is provided in the
+[corresponding
+example](http://pykrige.readthedocs.io/en/latest/examples/07_regression_kriging2d.html#sphx-glr-examples-07-regression-kriging2d-py).
+
+### Classification Kriging
+
+[Simplifical Indicator
+kriging](https://www.sciencedirect.com/science/article/abs/pii/S1002070508600254)
+can be performed with
+[pykrige.ck.ClassificationKriging](http://pykrige.readthedocs.io/en/latest/examples/10_classification_kriging2d.html).
+This class takes as parameters a scikit-learn classification model, and
+details of either the `OrdinaryKriging` or the `UniversalKriging` class,
+and performs a correction step on the ML classification prediction.
+
+A demonstration of the classification kriging is provided in the
+[corresponding
+example](http://pykrige.readthedocs.io/en/latest/examples/10_classification_kriging2d.html#sphx-glr-examples-10-classification-kriging2d-py).
+
+## License
+
+PyKrige uses the BSD 3-Clause License.
+
+
+%prep
+%autosetup -n PyKrige-1.7.0
+
+%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-PyKrige -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.7.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..27a4228
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+0bac9788900734a4fe3f54752f572e6e  PyKrige-1.7.0.tar.gz