%global _empty_manifest_terminate_build 0 Name: python-turbodbc Version: 4.5.10 Release: 1 Summary: turbodbc is a Python DB API 2.0 compatible ODBC driver License: MIT License URL: https://github.com/blue-yonder/turbodbc Source0: https://mirrors.nju.edu.cn/pypi/web/packages/0b/6f/10631c807084f39464f7ca448bd710b194d580be3441591c9831a83704d9/turbodbc-4.5.10.tar.gz BuildArch: noarch %description [![Build Status](https://github.com/blue-yonder/turbodbc/workflows/CI/badge.svg?branch=master)](https://github.com/blue-yonder/turbodbc/actions) [![Documentation Status](https://readthedocs.org/projects/turbodbc/badge/?version=latest)](http://turbodbc.readthedocs.io/en/latest/?badge=latest) [![codecov](https://codecov.io/gh/blue-yonder/turbodbc/branch/master/graph/badge.svg)](https://codecov.io/gh/blue-yonder/turbodbc) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/turbodbc/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/turbodbc/badges/downloads.svg)](https://anaconda.org/conda-forge/turbodbc) Turbodbc is a Python module to access relational databases via the [Open Database Connectivity (ODBC)](https://en.wikipedia.org/wiki/Open_Database_Connectivity) interface. Its primary target audience are data scientist that use databases for which no efficient native Python drivers are available. For maximum compatibility, turbodbc complies with the [Python Database API Specification 2.0 (PEP 249)](https://www.python.org/dev/peps/pep-0249/). For maximum performance, turbodbc offers built-in [NumPy](http://www.numpy.org) and [Apache Arrow](https://arrow.apache.org) support and internally relies on batched data transfer instead of single-record communication as other popular ODBC modules do. Turbodbc is free to use ([MIT license](https://github.com/blue-yonder/turbodbc/blob/master/LICENSE)), open source ([GitHub](https://github.com/blue-yonder/turbodbc)), works with Python 3.8+, and is available for Linux, macOS, and Windows. Turbodbc is routinely tested with [MySQL](https://www.mysql.com), [PostgreSQL](https://www.postgresql.org), [EXASOL](http://www.exasol.com), and [MSSQL](http://microsoft.com/sql), but probably also works with your database. %package -n python3-turbodbc Summary: turbodbc is a Python DB API 2.0 compatible ODBC driver Provides: python-turbodbc BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-turbodbc [![Build Status](https://github.com/blue-yonder/turbodbc/workflows/CI/badge.svg?branch=master)](https://github.com/blue-yonder/turbodbc/actions) [![Documentation Status](https://readthedocs.org/projects/turbodbc/badge/?version=latest)](http://turbodbc.readthedocs.io/en/latest/?badge=latest) [![codecov](https://codecov.io/gh/blue-yonder/turbodbc/branch/master/graph/badge.svg)](https://codecov.io/gh/blue-yonder/turbodbc) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/turbodbc/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/turbodbc/badges/downloads.svg)](https://anaconda.org/conda-forge/turbodbc) Turbodbc is a Python module to access relational databases via the [Open Database Connectivity (ODBC)](https://en.wikipedia.org/wiki/Open_Database_Connectivity) interface. Its primary target audience are data scientist that use databases for which no efficient native Python drivers are available. For maximum compatibility, turbodbc complies with the [Python Database API Specification 2.0 (PEP 249)](https://www.python.org/dev/peps/pep-0249/). For maximum performance, turbodbc offers built-in [NumPy](http://www.numpy.org) and [Apache Arrow](https://arrow.apache.org) support and internally relies on batched data transfer instead of single-record communication as other popular ODBC modules do. Turbodbc is free to use ([MIT license](https://github.com/blue-yonder/turbodbc/blob/master/LICENSE)), open source ([GitHub](https://github.com/blue-yonder/turbodbc)), works with Python 3.8+, and is available for Linux, macOS, and Windows. Turbodbc is routinely tested with [MySQL](https://www.mysql.com), [PostgreSQL](https://www.postgresql.org), [EXASOL](http://www.exasol.com), and [MSSQL](http://microsoft.com/sql), but probably also works with your database. %package help Summary: Development documents and examples for turbodbc Provides: python3-turbodbc-doc %description help [![Build Status](https://github.com/blue-yonder/turbodbc/workflows/CI/badge.svg?branch=master)](https://github.com/blue-yonder/turbodbc/actions) [![Documentation Status](https://readthedocs.org/projects/turbodbc/badge/?version=latest)](http://turbodbc.readthedocs.io/en/latest/?badge=latest) [![codecov](https://codecov.io/gh/blue-yonder/turbodbc/branch/master/graph/badge.svg)](https://codecov.io/gh/blue-yonder/turbodbc) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/turbodbc/badges/installer/conda.svg)](https://conda.anaconda.org/conda-forge) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/turbodbc/badges/downloads.svg)](https://anaconda.org/conda-forge/turbodbc) Turbodbc is a Python module to access relational databases via the [Open Database Connectivity (ODBC)](https://en.wikipedia.org/wiki/Open_Database_Connectivity) interface. Its primary target audience are data scientist that use databases for which no efficient native Python drivers are available. For maximum compatibility, turbodbc complies with the [Python Database API Specification 2.0 (PEP 249)](https://www.python.org/dev/peps/pep-0249/). For maximum performance, turbodbc offers built-in [NumPy](http://www.numpy.org) and [Apache Arrow](https://arrow.apache.org) support and internally relies on batched data transfer instead of single-record communication as other popular ODBC modules do. Turbodbc is free to use ([MIT license](https://github.com/blue-yonder/turbodbc/blob/master/LICENSE)), open source ([GitHub](https://github.com/blue-yonder/turbodbc)), works with Python 3.8+, and is available for Linux, macOS, and Windows. Turbodbc is routinely tested with [MySQL](https://www.mysql.com), [PostgreSQL](https://www.postgresql.org), [EXASOL](http://www.exasol.com), and [MSSQL](http://microsoft.com/sql), but probably also works with your database. %prep %autosetup -n turbodbc-4.5.10 %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-turbodbc -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 11 2023 Python_Bot - 4.5.10-1 - Package Spec generated