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%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.aliyun.com/pypi/web/packages/a8/57/3cc0eef97a1dbf1a1d623df3dce3b5a3ecfb93711c1aefa63bb4a13e5417/dap-2.2.6.7.tar.gz
BuildArch: noarch
%description
Implementation of the `Data Access Protocol <http://opendap.org>`_.
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
<http://pydap.googlecode.com/svn/trunk/dap#egg=dap-dev>`_.
%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 <http://opendap.org>`_.
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
<http://pydap.googlecode.com/svn/trunk/dap#egg=dap-dev>`_.
%package help
Summary: Development documents and examples for dap
Provides: python3-dap-doc
%description help
Implementation of the `Data Access Protocol <http://opendap.org>`_.
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
<http://pydap.googlecode.com/svn/trunk/dap#egg=dap-dev>`_.
%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
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 2.2.6.7-1
- Package Spec generated
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