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+%global _empty_manifest_terminate_build 0
+Name: python-npTDMS
+Version: 1.6.2
+Release: 1
+Summary: Cross-platform, NumPy based module for reading TDMS files produced by LabView
+License: LGPL
+URL: https://github.com/adamreeve/npTDMS
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/7b/f5/449aeedf4ddb633f8ff390d6b5e0f3cc4f6d77b55527ae82535fd1154e76/npTDMS-1.6.2.tar.gz
+BuildArch: noarch
+
+
+%description
+npTDMS is a cross-platform Python package for reading and writing TDMS files as produced by LabVIEW,
+and is built on top of the `numpy <http://www.numpy.org/>`__ package.
+Data is read from TDMS files as numpy arrays,
+and npTDMS also allows writing numpy arrays to TDMS files.
+TDMS files are structured in a hierarchy of groups and channels.
+A TDMS file can contain multiple groups, which may each contain multiple channels.
+A file, group and channel may all have properties associated with them,
+but only channels have array data.
+Typical usage when reading a TDMS file might look like::
+ from nptdms import TdmsFile
+ tdms_file = TdmsFile.read("path_to_file.tdms")
+ group = tdms_file['group name']
+ channel = group['channel name']
+ channel_data = channel[:]
+ channel_properties = channel.properties
+The ``TdmsFile.read`` method reads all data into memory immediately.
+When you are working with large TDMS files or don't need to read all channel data,
+you can instead use ``TdmsFile.open``. This is more memory efficient but
+accessing data can be slower::
+ with TdmsFile.open("path_to_file.tdms") as tdms_file:
+ group = tdms_file['group name']
+ channel = group['channel name']
+ channel_data = channel[:]
+npTDMS also has rudimentary support for writing TDMS files.
+Using npTDMS to write a TDMS file looks like::
+ from nptdms import TdmsWriter, ChannelObject
+ import numpy
+ with TdmsWriter("path_to_file.tdms") as tdms_writer:
+ data_array = numpy.linspace(0, 1, 10)
+ channel = ChannelObject('group name', 'channel name', data_array)
+ tdms_writer.write_segment([channel])
+For more detailed documentation on reading and writing TDMS files,
+see the `npTDMS documentation <http://nptdms.readthedocs.io>`__.
+
+%package -n python3-npTDMS
+Summary: Cross-platform, NumPy based module for reading TDMS files produced by LabView
+Provides: python-npTDMS
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-npTDMS
+npTDMS is a cross-platform Python package for reading and writing TDMS files as produced by LabVIEW,
+and is built on top of the `numpy <http://www.numpy.org/>`__ package.
+Data is read from TDMS files as numpy arrays,
+and npTDMS also allows writing numpy arrays to TDMS files.
+TDMS files are structured in a hierarchy of groups and channels.
+A TDMS file can contain multiple groups, which may each contain multiple channels.
+A file, group and channel may all have properties associated with them,
+but only channels have array data.
+Typical usage when reading a TDMS file might look like::
+ from nptdms import TdmsFile
+ tdms_file = TdmsFile.read("path_to_file.tdms")
+ group = tdms_file['group name']
+ channel = group['channel name']
+ channel_data = channel[:]
+ channel_properties = channel.properties
+The ``TdmsFile.read`` method reads all data into memory immediately.
+When you are working with large TDMS files or don't need to read all channel data,
+you can instead use ``TdmsFile.open``. This is more memory efficient but
+accessing data can be slower::
+ with TdmsFile.open("path_to_file.tdms") as tdms_file:
+ group = tdms_file['group name']
+ channel = group['channel name']
+ channel_data = channel[:]
+npTDMS also has rudimentary support for writing TDMS files.
+Using npTDMS to write a TDMS file looks like::
+ from nptdms import TdmsWriter, ChannelObject
+ import numpy
+ with TdmsWriter("path_to_file.tdms") as tdms_writer:
+ data_array = numpy.linspace(0, 1, 10)
+ channel = ChannelObject('group name', 'channel name', data_array)
+ tdms_writer.write_segment([channel])
+For more detailed documentation on reading and writing TDMS files,
+see the `npTDMS documentation <http://nptdms.readthedocs.io>`__.
+
+%package help
+Summary: Development documents and examples for npTDMS
+Provides: python3-npTDMS-doc
+%description help
+npTDMS is a cross-platform Python package for reading and writing TDMS files as produced by LabVIEW,
+and is built on top of the `numpy <http://www.numpy.org/>`__ package.
+Data is read from TDMS files as numpy arrays,
+and npTDMS also allows writing numpy arrays to TDMS files.
+TDMS files are structured in a hierarchy of groups and channels.
+A TDMS file can contain multiple groups, which may each contain multiple channels.
+A file, group and channel may all have properties associated with them,
+but only channels have array data.
+Typical usage when reading a TDMS file might look like::
+ from nptdms import TdmsFile
+ tdms_file = TdmsFile.read("path_to_file.tdms")
+ group = tdms_file['group name']
+ channel = group['channel name']
+ channel_data = channel[:]
+ channel_properties = channel.properties
+The ``TdmsFile.read`` method reads all data into memory immediately.
+When you are working with large TDMS files or don't need to read all channel data,
+you can instead use ``TdmsFile.open``. This is more memory efficient but
+accessing data can be slower::
+ with TdmsFile.open("path_to_file.tdms") as tdms_file:
+ group = tdms_file['group name']
+ channel = group['channel name']
+ channel_data = channel[:]
+npTDMS also has rudimentary support for writing TDMS files.
+Using npTDMS to write a TDMS file looks like::
+ from nptdms import TdmsWriter, ChannelObject
+ import numpy
+ with TdmsWriter("path_to_file.tdms") as tdms_writer:
+ data_array = numpy.linspace(0, 1, 10)
+ channel = ChannelObject('group name', 'channel name', data_array)
+ tdms_writer.write_segment([channel])
+For more detailed documentation on reading and writing TDMS files,
+see the `npTDMS documentation <http://nptdms.readthedocs.io>`__.
+
+%prep
+%autosetup -n npTDMS-1.6.2
+
+%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-npTDMS -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.6.2-1
+- Package Spec generated