automatic import of python-pysat

3 files changed, 359 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..b77dd4e 100644
--- a/.gitignore
+++ b/.gitignore
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+/pysat-3.0.6.tar.gz
diff --git a/python-pysat.spec b/python-pysat.spec
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--- /dev/null
+++ b/python-pysat.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-pysat
+Version:	3.0.6
+Release:	1
+Summary:	'Supports science analysis across disparate data platforms'
+License:	BSD License
+URL:		https://github.com/pysat/pysat
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/3c/c8/8bb01d050632832fb9477056da59ff6d25b3fcce67d77c1260ff56eaebd3/pysat-3.0.6.tar.gz
+BuildArch:	noarch
+
+
+%description
+<div align="center">
+        <img height="0" width="0px">
+        <img width="20%" src="https://raw.githubusercontent.com/pysat/pysat/main/docs/images/logo.png" alt="The pysat logo: A snake orbiting a blue sphere" title="pysat"</img>
+</div>
+
+# pysat: Python Satellite Data Analysis Toolkit
+[![PyPI Package latest release](https://img.shields.io/pypi/v/pysat.svg)](https://pypi.python.org/pypi/pysat)
+[![Build Status](https://github.com/pysat/pysat/actions/workflows/main.yml/badge.svg)](https://github.com/pysat/pysat/actions/workflows/main.yml/badge.svg)
+[![Documentation Status](https://readthedocs.org/projects/pysat/badge/?version=latest)](http://pysat.readthedocs.io/en/latest/?badge=latest)
+[![Coverage Status](https://coveralls.io/repos/github/pysat/pysat/badge.svg?branch=main)](https://coveralls.io/github/pysat/pysat?branch=main)
+[![DOI](https://zenodo.org/badge/33449914.svg)](https://zenodo.org/badge/latestdoi/33449914)
+
+The Python Satellite Data Analysis Toolkit (pysat) is a package providing a
+simple and flexible interface for downloading, loading, cleaning, managing,
+processing, and analyzing scientific measurements. Although pysat was initially
+designed for in situ satellite observations, it now supports many different
+types of ground- and space-based measurements.
+
+Full [Documentation](http://pysat.readthedocs.io/en/latest/index.html)
+
+JGR-Space Physics [Publication](https://doi.org/10.1029/2018JA025297)
+
+[Citation Info](https://pysat.readthedocs.io/en/latest/citing.html)
+
+Come join us on Slack! An invitation to the pysat workspace is available 
+in the 'About' section of the [pysat GitHub Repository.](https://github.com/pysat/pysat)
+Development meetings are generally held fortnightly.
+
+# Main Features
+* Instrument independent analysis routines.
+* Instrument object providing an interface for downloading and analyzing a wide
+  variety of science data sets.
+  * Uses pandas or xarray for the underlying data structure;
+    capable of handling the many forms scientific measurements take in a
+    consistent manner.
+  * Standard scientific data handling tasks (e.g., identifying, downloading,
+    and loading files and cleaning and modifying data) are built into the
+    Instrument object.
+  * Supports metadata consistent with the netCDF CF-1.6 standard. Each variable
+    has a name, long name, and units. Note units are informational only.
+* Simplifies data management
+  * Iterator support for loading data by day/file/orbit, independent of data
+    storage details.
+  * Orbits are calculated on the fly from loaded data and span day breaks.
+  * Iterate over custom seasons
+* Supports rigorous time-series calculations that require spin up/down time
+  across day, orbit, and file breaks.
+* Includes helper functions to reduce the barrier in adding new science
+  instruments to pysat
+
+# Installation
+## Starting from scratch
+* Python and associated packages for science are freely available. Convenient
+  science python package setups are available from https://www.python.org/,
+  [Anaconda](https://www.anaconda.com/distribution/), and other locations
+  (some platform specific). Anaconda also includes a developer environment that
+  works well with pysat. Core science packages such as numpy, scipy, matplotlib,
+  pandas and many others may also be installed directly via pip or your
+  favorite package manager.
+
+* Installation through pip
+```
+pip install pysat
+```
+* Installation through github
+```
+git clone https://github.com/pysat/pysat.git
+cd pysat
+python setup.py install
+```
+An advantage to installing through github is access to the development branches.
+The latest bugfixes can be found in the `develop` branch.  However, this branch
+is not stable (as the name implies).  We recommend using this branch in a
+virtual environment or using `python setup.py develop`.
+```
+git clone https://github.com/pysat/pysat.git
+cd pysat
+git checkout develop
+python setup.py develop
+```
+* Note that pysat requires a number of packages for the install.  
+  * dask
+  * netCDF4
+  * numpy
+  * pandas
+  * portalocker
+  * scipy
+  * toolz
+  * xarray
+* The first time the package is run, you will need to specify a directory to
+  store data. In python, run:
+```
+pysat.params['data_dirs'] = 'path/to/directory/that/may/or/may/not/exist'
+```
+  * Nominal organization of data is top_dir/platform/name/tag/inst_id/files
+
+
+%package -n python3-pysat
+Summary:	'Supports science analysis across disparate data platforms'
+Provides:	python-pysat
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-pysat
+<div align="center">
+        <img height="0" width="0px">
+        <img width="20%" src="https://raw.githubusercontent.com/pysat/pysat/main/docs/images/logo.png" alt="The pysat logo: A snake orbiting a blue sphere" title="pysat"</img>
+</div>
+
+# pysat: Python Satellite Data Analysis Toolkit
+[![PyPI Package latest release](https://img.shields.io/pypi/v/pysat.svg)](https://pypi.python.org/pypi/pysat)
+[![Build Status](https://github.com/pysat/pysat/actions/workflows/main.yml/badge.svg)](https://github.com/pysat/pysat/actions/workflows/main.yml/badge.svg)
+[![Documentation Status](https://readthedocs.org/projects/pysat/badge/?version=latest)](http://pysat.readthedocs.io/en/latest/?badge=latest)
+[![Coverage Status](https://coveralls.io/repos/github/pysat/pysat/badge.svg?branch=main)](https://coveralls.io/github/pysat/pysat?branch=main)
+[![DOI](https://zenodo.org/badge/33449914.svg)](https://zenodo.org/badge/latestdoi/33449914)
+
+The Python Satellite Data Analysis Toolkit (pysat) is a package providing a
+simple and flexible interface for downloading, loading, cleaning, managing,
+processing, and analyzing scientific measurements. Although pysat was initially
+designed for in situ satellite observations, it now supports many different
+types of ground- and space-based measurements.
+
+Full [Documentation](http://pysat.readthedocs.io/en/latest/index.html)
+
+JGR-Space Physics [Publication](https://doi.org/10.1029/2018JA025297)
+
+[Citation Info](https://pysat.readthedocs.io/en/latest/citing.html)
+
+Come join us on Slack! An invitation to the pysat workspace is available 
+in the 'About' section of the [pysat GitHub Repository.](https://github.com/pysat/pysat)
+Development meetings are generally held fortnightly.
+
+# Main Features
+* Instrument independent analysis routines.
+* Instrument object providing an interface for downloading and analyzing a wide
+  variety of science data sets.
+  * Uses pandas or xarray for the underlying data structure;
+    capable of handling the many forms scientific measurements take in a
+    consistent manner.
+  * Standard scientific data handling tasks (e.g., identifying, downloading,
+    and loading files and cleaning and modifying data) are built into the
+    Instrument object.
+  * Supports metadata consistent with the netCDF CF-1.6 standard. Each variable
+    has a name, long name, and units. Note units are informational only.
+* Simplifies data management
+  * Iterator support for loading data by day/file/orbit, independent of data
+    storage details.
+  * Orbits are calculated on the fly from loaded data and span day breaks.
+  * Iterate over custom seasons
+* Supports rigorous time-series calculations that require spin up/down time
+  across day, orbit, and file breaks.
+* Includes helper functions to reduce the barrier in adding new science
+  instruments to pysat
+
+# Installation
+## Starting from scratch
+* Python and associated packages for science are freely available. Convenient
+  science python package setups are available from https://www.python.org/,
+  [Anaconda](https://www.anaconda.com/distribution/), and other locations
+  (some platform specific). Anaconda also includes a developer environment that
+  works well with pysat. Core science packages such as numpy, scipy, matplotlib,
+  pandas and many others may also be installed directly via pip or your
+  favorite package manager.
+
+* Installation through pip
+```
+pip install pysat
+```
+* Installation through github
+```
+git clone https://github.com/pysat/pysat.git
+cd pysat
+python setup.py install
+```
+An advantage to installing through github is access to the development branches.
+The latest bugfixes can be found in the `develop` branch.  However, this branch
+is not stable (as the name implies).  We recommend using this branch in a
+virtual environment or using `python setup.py develop`.
+```
+git clone https://github.com/pysat/pysat.git
+cd pysat
+git checkout develop
+python setup.py develop
+```
+* Note that pysat requires a number of packages for the install.  
+  * dask
+  * netCDF4
+  * numpy
+  * pandas
+  * portalocker
+  * scipy
+  * toolz
+  * xarray
+* The first time the package is run, you will need to specify a directory to
+  store data. In python, run:
+```
+pysat.params['data_dirs'] = 'path/to/directory/that/may/or/may/not/exist'
+```
+  * Nominal organization of data is top_dir/platform/name/tag/inst_id/files
+
+
+%package help
+Summary:	Development documents and examples for pysat
+Provides:	python3-pysat-doc
+%description help
+<div align="center">
+        <img height="0" width="0px">
+        <img width="20%" src="https://raw.githubusercontent.com/pysat/pysat/main/docs/images/logo.png" alt="The pysat logo: A snake orbiting a blue sphere" title="pysat"</img>
+</div>
+
+# pysat: Python Satellite Data Analysis Toolkit
+[![PyPI Package latest release](https://img.shields.io/pypi/v/pysat.svg)](https://pypi.python.org/pypi/pysat)
+[![Build Status](https://github.com/pysat/pysat/actions/workflows/main.yml/badge.svg)](https://github.com/pysat/pysat/actions/workflows/main.yml/badge.svg)
+[![Documentation Status](https://readthedocs.org/projects/pysat/badge/?version=latest)](http://pysat.readthedocs.io/en/latest/?badge=latest)
+[![Coverage Status](https://coveralls.io/repos/github/pysat/pysat/badge.svg?branch=main)](https://coveralls.io/github/pysat/pysat?branch=main)
+[![DOI](https://zenodo.org/badge/33449914.svg)](https://zenodo.org/badge/latestdoi/33449914)
+
+The Python Satellite Data Analysis Toolkit (pysat) is a package providing a
+simple and flexible interface for downloading, loading, cleaning, managing,
+processing, and analyzing scientific measurements. Although pysat was initially
+designed for in situ satellite observations, it now supports many different
+types of ground- and space-based measurements.
+
+Full [Documentation](http://pysat.readthedocs.io/en/latest/index.html)
+
+JGR-Space Physics [Publication](https://doi.org/10.1029/2018JA025297)
+
+[Citation Info](https://pysat.readthedocs.io/en/latest/citing.html)
+
+Come join us on Slack! An invitation to the pysat workspace is available 
+in the 'About' section of the [pysat GitHub Repository.](https://github.com/pysat/pysat)
+Development meetings are generally held fortnightly.
+
+# Main Features
+* Instrument independent analysis routines.
+* Instrument object providing an interface for downloading and analyzing a wide
+  variety of science data sets.
+  * Uses pandas or xarray for the underlying data structure;
+    capable of handling the many forms scientific measurements take in a
+    consistent manner.
+  * Standard scientific data handling tasks (e.g., identifying, downloading,
+    and loading files and cleaning and modifying data) are built into the
+    Instrument object.
+  * Supports metadata consistent with the netCDF CF-1.6 standard. Each variable
+    has a name, long name, and units. Note units are informational only.
+* Simplifies data management
+  * Iterator support for loading data by day/file/orbit, independent of data
+    storage details.
+  * Orbits are calculated on the fly from loaded data and span day breaks.
+  * Iterate over custom seasons
+* Supports rigorous time-series calculations that require spin up/down time
+  across day, orbit, and file breaks.
+* Includes helper functions to reduce the barrier in adding new science
+  instruments to pysat
+
+# Installation
+## Starting from scratch
+* Python and associated packages for science are freely available. Convenient
+  science python package setups are available from https://www.python.org/,
+  [Anaconda](https://www.anaconda.com/distribution/), and other locations
+  (some platform specific). Anaconda also includes a developer environment that
+  works well with pysat. Core science packages such as numpy, scipy, matplotlib,
+  pandas and many others may also be installed directly via pip or your
+  favorite package manager.
+
+* Installation through pip
+```
+pip install pysat
+```
+* Installation through github
+```
+git clone https://github.com/pysat/pysat.git
+cd pysat
+python setup.py install
+```
+An advantage to installing through github is access to the development branches.
+The latest bugfixes can be found in the `develop` branch.  However, this branch
+is not stable (as the name implies).  We recommend using this branch in a
+virtual environment or using `python setup.py develop`.
+```
+git clone https://github.com/pysat/pysat.git
+cd pysat
+git checkout develop
+python setup.py develop
+```
+* Note that pysat requires a number of packages for the install.  
+  * dask
+  * netCDF4
+  * numpy
+  * pandas
+  * portalocker
+  * scipy
+  * toolz
+  * xarray
+* The first time the package is run, you will need to specify a directory to
+  store data. In python, run:
+```
+pysat.params['data_dirs'] = 'path/to/directory/that/may/or/may/not/exist'
+```
+  * Nominal organization of data is top_dir/platform/name/tag/inst_id/files
+
+
+%prep
+%autosetup -n pysat-3.0.6
+
+%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-pysat -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 3.0.6-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..46f20bf
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+55affda874cf0638e71d7c2ea0f0004e  pysat-3.0.6.tar.gz