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%global srcname pytest-arraydiff
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%global sum The py.test arraydiff plugin
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Name: python-%{srcname}
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Version: 0.2
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Release: 2%{?dist}
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Summary: %{sum}
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License: BSD
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URL: https://pypi.python.org/pypi/%{srcname}
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Source0: https://files.pythonhosted.org/packages/source/p/%{srcname}/%{srcname}-%{version}.tar.gz
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BuildArch: noarch
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BuildRequires: python3-devel
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BuildRequires: python3-numpy
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BuildRequires: python3-pytest
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BuildRequires: python3-setuptools
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BuildRequires: python3-six
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%description
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This is a py.test plugin to facilitate the generation and comparison of
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data arrays produced during tests.
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The basic idea is that you can write a test that generates a Numpy array
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(or other related objects depending on the format). You can then either
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run the tests in a mode to generate reference files from the arrays, or
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you can run the tests in comparison mode, which will compare the results
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of the tests to the reference ones within some tolerance.
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At the moment, the supported file formats for the reference files are:
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* A plain text-based format (baed on Numpy loadtxt output)
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* The FITS format (requires astropy). With this format, tests can return
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either a Numpy array for a FITS HDU object.
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%package -n python3-%{srcname}
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Summary: %{sum}
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Requires: python3-numpy
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Requires: python3-pytest
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Requires: python3-six
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%{?python_provide:%python_provide python3-%{srcname}}
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%description -n python3-%{srcname}
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This is a py.test plugin to facilitate the generation and comparison of
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data arrays produced during tests.
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33a2093 |
|
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The basic idea is that you can write a test that generates a Numpy array
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(or other related objects depending on the format). You can then either
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run the tests in a mode to generate reference files from the arrays, or
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you can run the tests in comparison mode, which will compare the results
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of the tests to the reference ones within some tolerance.
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At the moment, the supported file formats for the reference files are:
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* A plain text-based format (baed on Numpy loadtxt output)
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* The FITS format (requires astropy). With this format, tests can return
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either a Numpy array for a FITS HDU object.
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%prep
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%autosetup -n %{srcname}-%{version}
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%build
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%py3_build
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%install
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%py3_install
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# Note that there is no %%files section for the unversioned python module if we are building for several python runtimes
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%files -n python3-%{srcname}
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%license LICENSE
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%doc CHANGES.md README.rst
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%{python3_sitelib}/*
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%changelog
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* Tue Jun 19 2018 Miro HronĨok <mhroncok@redhat.com> - 0.2-2
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- Rebuilt for Python 3.7
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* Sat Mar 17 2018 Christian Dersch <lupinix@mailbox.org> - 0.2-1
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- initial packaging effort
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