%global _empty_manifest_terminate_build 0
Name:		python-blaze
Version:	0.10.1
Release:	1
Summary:	Blaze
License:	BSD
URL:		UNKNOWN
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/a1/99/ec4fc29409d68d83a2138b190722f74d15ca1ca303b5c055171b22baa4c0/blaze-0.10.1.tar.gz
BuildArch:	noarch


%description
We point blaze to a simple dataset in a foreign database (PostgreSQL).
Instantly we see results as we would see them in a Pandas DataFrame.
    >>> import blaze as bz
    >>> iris = bz.Data('postgresql://localhost::iris')
    >>> iris
        sepal_length  sepal_width  petal_length  petal_width      species
    0            5.1          3.5           1.4          0.2  Iris-setosa
    1            4.9          3.0           1.4          0.2  Iris-setosa
    2            4.7          3.2           1.3          0.2  Iris-setosa
    3            4.6          3.1           1.5          0.2  Iris-setosa
These results occur immediately. Blaze does not pull data out of
Postgres, instead it translates your Python commands into SQL (or
others.)
    >>> iris.species.distinct()
               species
    0      Iris-setosa
    1  Iris-versicolor
    2   Iris-virginica
    >>> bz.by(iris.species, smallest=iris.petal_length.min(),
               species  largest  smallest
    0      Iris-setosa      1.9       1.0
    1  Iris-versicolor      5.1       3.0
    2   Iris-virginica      6.9       4.5
This same example would have worked with a wide range of databases,
on-disk text or binary files, or remote data.

%package -n python3-blaze
Summary:	Blaze
Provides:	python-blaze
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-blaze
We point blaze to a simple dataset in a foreign database (PostgreSQL).
Instantly we see results as we would see them in a Pandas DataFrame.
    >>> import blaze as bz
    >>> iris = bz.Data('postgresql://localhost::iris')
    >>> iris
        sepal_length  sepal_width  petal_length  petal_width      species
    0            5.1          3.5           1.4          0.2  Iris-setosa
    1            4.9          3.0           1.4          0.2  Iris-setosa
    2            4.7          3.2           1.3          0.2  Iris-setosa
    3            4.6          3.1           1.5          0.2  Iris-setosa
These results occur immediately. Blaze does not pull data out of
Postgres, instead it translates your Python commands into SQL (or
others.)
    >>> iris.species.distinct()
               species
    0      Iris-setosa
    1  Iris-versicolor
    2   Iris-virginica
    >>> bz.by(iris.species, smallest=iris.petal_length.min(),
               species  largest  smallest
    0      Iris-setosa      1.9       1.0
    1  Iris-versicolor      5.1       3.0
    2   Iris-virginica      6.9       4.5
This same example would have worked with a wide range of databases,
on-disk text or binary files, or remote data.

%package help
Summary:	Development documents and examples for blaze
Provides:	python3-blaze-doc
%description help
We point blaze to a simple dataset in a foreign database (PostgreSQL).
Instantly we see results as we would see them in a Pandas DataFrame.
    >>> import blaze as bz
    >>> iris = bz.Data('postgresql://localhost::iris')
    >>> iris
        sepal_length  sepal_width  petal_length  petal_width      species
    0            5.1          3.5           1.4          0.2  Iris-setosa
    1            4.9          3.0           1.4          0.2  Iris-setosa
    2            4.7          3.2           1.3          0.2  Iris-setosa
    3            4.6          3.1           1.5          0.2  Iris-setosa
These results occur immediately. Blaze does not pull data out of
Postgres, instead it translates your Python commands into SQL (or
others.)
    >>> iris.species.distinct()
               species
    0      Iris-setosa
    1  Iris-versicolor
    2   Iris-virginica
    >>> bz.by(iris.species, smallest=iris.petal_length.min(),
               species  largest  smallest
    0      Iris-setosa      1.9       1.0
    1  Iris-versicolor      5.1       3.0
    2   Iris-virginica      6.9       4.5
This same example would have worked with a wide range of databases,
on-disk text or binary files, or remote data.

%prep
%autosetup -n blaze-0.10.1

%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-blaze -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.10.1-1
- Package Spec generated