%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
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 1.6.2-1
- Package Spec generated