%global srcname xarray %global data_commit 870b5d7a9dbfa821423f1b88056890c22341f085 Name: python-%{srcname} Version: 0.12.3 Release: 1%{?dist} Summary: N-D labeled arrays and datasets in Python License: ASL 2.0 URL: https://github.com/pydata/xarray Source0: %pypi_source # Data for examples only. Source1: https://github.com/pydata/xarray-data/archive/%{data_commit}/xarray-data-%{data_commit}.tar.gz Source2: https://github.com/mapbox/rasterio/raw/1.0.21/tests/data/RGB.byte.tif # All Fedora specific. Patch0001: 0001-DOC-Don-t-download-RGB.byte.tif-during-build.patch Patch0002: 0002-DOC-Skip-examples-using-unpackaged-dependencies.patch Patch0003: 0003-TST-Reduce-required-pytest-runner-version.patch Patch0004: 0004-DOC-Don-t-print-out-conda-pip-environment.patch BuildArch: noarch BuildRequires: python3-devel BuildRequires: python3-dask+array BuildRequires: python3-dask+dataframe BuildRequires: python3dist(numpy) >= 1.12 BuildRequires: python3dist(pandas) >= 0.19.2 BuildRequires: python3dist(pytest) >= 2.7.1 BuildRequires: python3dist(pytest-runner) BuildRequires: python3dist(pytest-xdist) BuildRequires: python3dist(seaborn) BuildRequires: python3dist(setuptools) %global _description %{expand: \ Xarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures. Xarray was inspired by and borrows heavily from pandas, the popular data analysis package focused on labelled tabular data. It is particularly tailored to working with netCDF files, which were the source of xarray's data model, and integrates tightly with dask for parallel computing.} %description %{_description} %package -n python3-%{srcname} Summary: %{summary} %{?python_provide:%python_provide python3-%{srcname}} %description -n python3-%{srcname} %{_description} %package -n python-%{srcname}-doc Summary: xarray documentation BuildRequires: python3dist(cartopy) BuildRequires: natural-earth-map-data-110m BuildRequires: natural-earth-map-data-10m BuildRequires: python3-ipython-sphinx BuildRequires: python3dist(matplotlib) BuildRequires: python3dist(netcdf4) BuildRequires: python3dist(numpydoc) BuildRequires: python3dist(rasterio) BuildRequires: python3dist(sphinx) BuildRequires: python3dist(sphinx-gallery) BuildRequires: python3dist(sphinx-rtd-theme) BuildRequires: python3dist(zarr) %description -n python-%{srcname}-doc Documentation for xarray %prep %autosetup -n %{srcname}-%{version} -p1 # Provide example datasets for building docs. tar xf %SOURCE1 --transform='s~^\(%{srcname}-data-%{data_commit}/\)~\1.xarray_tutorial_data/~' cp -p %SOURCE2 ./doc/gallery/ # Remove bundled egg-info rm -rf %{srcname}.egg-info %build %py3_build # generate html docs pushd doc PYTHONPATH=${PWD}/.. HOME=${PWD}/../%{srcname}-data-%{data_commit} make html # remove the sphinx-build leftovers rm -rf _build/html/.{doctrees,buildinfo} popd %install %py3_install %check %{__python3} setup.py test --addopts='-ra -n auto -m "not network"' %files -n python3-%{srcname} %license LICENSE licenses/DASK_LICENSE licenses/NUMPY_LICENSE licenses/PANDAS_LICENSE licenses/PYTHON_LICENSE licenses/SEABORN_LICENSE %doc README.rst %{python3_sitelib}/%{srcname} %{python3_sitelib}/%{srcname}-%{version}-py?.?.egg-info %files -n python-%{srcname}-doc %doc doc/_build/html %license LICENSE licenses/DASK_LICENSE licenses/NUMPY_LICENSE licenses/PANDAS_LICENSE licenses/PYTHON_LICENSE licenses/SEABORN_LICENSE %changelog * Sun Jul 21 2019 Elliott Sales de Andrade - 0.12.3-1 - Update to latest version * Sat Mar 16 2019 Elliott Sales de Andrade - 0.12.0-1 - Initial package.