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@@ -0,0 +1 @@ +/gviz_data_table-2.0.0.tar.gz diff --git a/python-gviz-data-table.spec b/python-gviz-data-table.spec new file mode 100644 index 0000000..fd4e010 --- /dev/null +++ b/python-gviz-data-table.spec @@ -0,0 +1,150 @@ +%global _empty_manifest_terminate_build 0 +Name: python-gviz-data-table +Version: 2.0.0 +Release: 1 +Summary: Python API for Google Visualization +License: BSD +URL: https://pypi.org/project/gviz-data-table/ +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c3/6a/516ba42f4e85c548508a2aee130b0a5531f13e5517a9adab77dd676dcdf6/gviz_data_table-2.0.0.tar.gz +BuildArch: noarch + + +%description +Gviz Data Table is a simple Python library for converting Python data types +to the Google Visualization Data Table JSON format. +https://developers.google.com/chart/interactive/docs/reference +The Google Visualization Library itself is a Javascript library that provides +interactive charts that work in pretty much any browser. The libraries cover +most use cases including tables, as well as charts, so you can have a chart +and a table of the same data. +Gviz Data Table is designed primarily for use with data sources such as +databases. Usage is supposed to be minimal: you provide a schema, that is a +list of columns, and the rows of data. A column must have a name and Python +data type. It can also have a label which will be used for display, otherwise +the name will be used. +Each row is a sequence of cells. Although columns are explicit row names are +always the first cell in a row. Like columns, cells can also have labels. +Gviz Data Table will validate each cell to make sure that data conforms to +type specified in the schema and will map Python types to their JSON +equivalent but it does not coerce any data, i.e. if a column has type `int` +and a cell's data is a string containing numerical characters only this will +still raise an exception. +Gviz Data Table handles data conversion only. You will need to add the +necessary Javascript to an web page in order for any charts or table to be +drawn. Tables, columns and cells can all have options which are just +dictionaries. As there is no further definition of options no validation of +their items occurs. Unknown items will simply be ignored. +Gviz Data Table is composed of: one container class ``Table``; two data +classes, ``Cell`` and ``Column`` and one JSON encoder. Application code should +probably only ever need to use Table and the encoder. + +%package -n python3-gviz-data-table +Summary: Python API for Google Visualization +Provides: python-gviz-data-table +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-gviz-data-table +Gviz Data Table is a simple Python library for converting Python data types +to the Google Visualization Data Table JSON format. +https://developers.google.com/chart/interactive/docs/reference +The Google Visualization Library itself is a Javascript library that provides +interactive charts that work in pretty much any browser. The libraries cover +most use cases including tables, as well as charts, so you can have a chart +and a table of the same data. +Gviz Data Table is designed primarily for use with data sources such as +databases. Usage is supposed to be minimal: you provide a schema, that is a +list of columns, and the rows of data. A column must have a name and Python +data type. It can also have a label which will be used for display, otherwise +the name will be used. +Each row is a sequence of cells. Although columns are explicit row names are +always the first cell in a row. Like columns, cells can also have labels. +Gviz Data Table will validate each cell to make sure that data conforms to +type specified in the schema and will map Python types to their JSON +equivalent but it does not coerce any data, i.e. if a column has type `int` +and a cell's data is a string containing numerical characters only this will +still raise an exception. +Gviz Data Table handles data conversion only. You will need to add the +necessary Javascript to an web page in order for any charts or table to be +drawn. Tables, columns and cells can all have options which are just +dictionaries. As there is no further definition of options no validation of +their items occurs. Unknown items will simply be ignored. +Gviz Data Table is composed of: one container class ``Table``; two data +classes, ``Cell`` and ``Column`` and one JSON encoder. Application code should +probably only ever need to use Table and the encoder. + +%package help +Summary: Development documents and examples for gviz-data-table +Provides: python3-gviz-data-table-doc +%description help +Gviz Data Table is a simple Python library for converting Python data types +to the Google Visualization Data Table JSON format. +https://developers.google.com/chart/interactive/docs/reference +The Google Visualization Library itself is a Javascript library that provides +interactive charts that work in pretty much any browser. The libraries cover +most use cases including tables, as well as charts, so you can have a chart +and a table of the same data. +Gviz Data Table is designed primarily for use with data sources such as +databases. Usage is supposed to be minimal: you provide a schema, that is a +list of columns, and the rows of data. A column must have a name and Python +data type. It can also have a label which will be used for display, otherwise +the name will be used. +Each row is a sequence of cells. Although columns are explicit row names are +always the first cell in a row. Like columns, cells can also have labels. +Gviz Data Table will validate each cell to make sure that data conforms to +type specified in the schema and will map Python types to their JSON +equivalent but it does not coerce any data, i.e. if a column has type `int` +and a cell's data is a string containing numerical characters only this will +still raise an exception. +Gviz Data Table handles data conversion only. You will need to add the +necessary Javascript to an web page in order for any charts or table to be +drawn. Tables, columns and cells can all have options which are just +dictionaries. As there is no further definition of options no validation of +their items occurs. Unknown items will simply be ignored. +Gviz Data Table is composed of: one container class ``Table``; two data +classes, ``Cell`` and ``Column`` and one JSON encoder. Application code should +probably only ever need to use Table and the encoder. + +%prep +%autosetup -n gviz-data-table-2.0.0 + +%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-gviz-data-table -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.0-1 +- Package Spec generated @@ -0,0 +1 @@ +895af771f2f3508f9ae5b16546cd349c gviz_data_table-2.0.0.tar.gz |