automatic import of python-blaze

3 files changed, 146 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..ddde48d 100644
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+/blaze-0.10.1.tar.gz
diff --git a/python-blaze.spec b/python-blaze.spec
new file mode 100644
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+%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 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.10.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..fa13565
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+5615c64f95d99e973a1763976a5829aa  blaze-0.10.1.tar.gz