%global _empty_manifest_terminate_build 0 Name: python-dap Version: 2.2.6.7 Release: 1 Summary: DAP (Data Access Protocol) client and server for Python. License: MIT URL: http://pydap.org/ Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a8/57/3cc0eef97a1dbf1a1d623df3dce3b5a3ecfb93711c1aefa63bb4a13e5417/dap-2.2.6.7.tar.gz BuildArch: noarch %description Implementation of the `Data Access Protocol `_. This is a Python implementation of the Data Access Protocol, a scientific protocol for data access developed by the OPeNDAP team (http://opendap.org). This implementation is developed from scratch, following the latest specification of the protocol (DAP 2.0 Draft Community Standard 2005/04/27) and based on my experience with OPeNDAP servers on the wild. Using this module one can access hundreds of scientific datasets from Python programs, accessing data in an efficient, transparent and pythonic way. Arrays are manipulated like normal multi-dimensional arrays (like numpy.array, e.g.), with the fundamental difference that data is downloaded on-the-fly when a variable is sliced. Sequential data can be filtered on the server side before being downloaded, saving bandwith and time. The module also implements a DAP server, allowing datasets from a multitude of formats (netCDF, Matlab, CSV, GrADS/GRIB files, SQL RDBMS) to be served on the internet. The server specifies a plugin API for supporting new data formats in an easy way. The DAP server is implemented as a WSGI application (see PEP 333), running on a variery of servers, and can be combined with WSGI middleware to support authentication, gzip compression and much more. The latest version is available in a `Subversion repository `_. %package -n python3-dap Summary: DAP (Data Access Protocol) client and server for Python. Provides: python-dap BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-dap Implementation of the `Data Access Protocol `_. This is a Python implementation of the Data Access Protocol, a scientific protocol for data access developed by the OPeNDAP team (http://opendap.org). This implementation is developed from scratch, following the latest specification of the protocol (DAP 2.0 Draft Community Standard 2005/04/27) and based on my experience with OPeNDAP servers on the wild. Using this module one can access hundreds of scientific datasets from Python programs, accessing data in an efficient, transparent and pythonic way. Arrays are manipulated like normal multi-dimensional arrays (like numpy.array, e.g.), with the fundamental difference that data is downloaded on-the-fly when a variable is sliced. Sequential data can be filtered on the server side before being downloaded, saving bandwith and time. The module also implements a DAP server, allowing datasets from a multitude of formats (netCDF, Matlab, CSV, GrADS/GRIB files, SQL RDBMS) to be served on the internet. The server specifies a plugin API for supporting new data formats in an easy way. The DAP server is implemented as a WSGI application (see PEP 333), running on a variery of servers, and can be combined with WSGI middleware to support authentication, gzip compression and much more. The latest version is available in a `Subversion repository `_. %package help Summary: Development documents and examples for dap Provides: python3-dap-doc %description help Implementation of the `Data Access Protocol `_. This is a Python implementation of the Data Access Protocol, a scientific protocol for data access developed by the OPeNDAP team (http://opendap.org). This implementation is developed from scratch, following the latest specification of the protocol (DAP 2.0 Draft Community Standard 2005/04/27) and based on my experience with OPeNDAP servers on the wild. Using this module one can access hundreds of scientific datasets from Python programs, accessing data in an efficient, transparent and pythonic way. Arrays are manipulated like normal multi-dimensional arrays (like numpy.array, e.g.), with the fundamental difference that data is downloaded on-the-fly when a variable is sliced. Sequential data can be filtered on the server side before being downloaded, saving bandwith and time. The module also implements a DAP server, allowing datasets from a multitude of formats (netCDF, Matlab, CSV, GrADS/GRIB files, SQL RDBMS) to be served on the internet. The server specifies a plugin API for supporting new data formats in an easy way. The DAP server is implemented as a WSGI application (see PEP 333), running on a variery of servers, and can be combined with WSGI middleware to support authentication, gzip compression and much more. The latest version is available in a `Subversion repository `_. %prep %autosetup -n dap-2.2.6.7 %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-dap -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 31 2023 Python_Bot - 2.2.6.7-1 - Package Spec generated