summaryrefslogtreecommitdiff
path: root/python-pygeode.spec
blob: 14aec93082d754844a7ce518371578bb12f1ce30 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
%global _empty_manifest_terminate_build 0
Name:		python-pygeode
Version:	1.4.1
Release:	1
Summary:	Gridded data manipulator for Python
License:	GPL-3
URL:		http://pygeode.github.io
Source0:	https://mirrors.aliyun.com/pypi/web/packages/5b/3b/d6d167e8a2cee6d9bc6e162559539a70e97767d2a0f1249465f6e640519f/pygeode-1.4.1.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-scipy
Requires:	python3-matplotlib
Requires:	python3-progressbar2
Requires:	python3-netcdf4

%description
PyGeode is a software library intended to simplify the management, analysis,
and visualization of gridded geophysical datasets such as those generated by
climate models. The library provides three main advantages. Firstly, it can
define a geophysical coordinate system for any given dataset, and allows
operations to be carried conceptually in this physical coordinate system, in
a way that is independent of the native coordinate system of a particular
dataset. This greatly simplifies working with datasets from different
sources. Secondly, the library allows mathematical operations to be performed
on datasets which fit on disk but not in memory; this is useful for dealing
with the extremely large datasets generated by climate models, and permits
operations to be performed over networks. Finally, the library provides tools
for visualizing these datasets in a scientifically useful way. The library is
written in Python, and makes use of a number of existing packages to perform
the underlying computations and to create plots.




%package -n python3-pygeode
Summary:	Gridded data manipulator for Python
Provides:	python-pygeode
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-pygeode
PyGeode is a software library intended to simplify the management, analysis,
and visualization of gridded geophysical datasets such as those generated by
climate models. The library provides three main advantages. Firstly, it can
define a geophysical coordinate system for any given dataset, and allows
operations to be carried conceptually in this physical coordinate system, in
a way that is independent of the native coordinate system of a particular
dataset. This greatly simplifies working with datasets from different
sources. Secondly, the library allows mathematical operations to be performed
on datasets which fit on disk but not in memory; this is useful for dealing
with the extremely large datasets generated by climate models, and permits
operations to be performed over networks. Finally, the library provides tools
for visualizing these datasets in a scientifically useful way. The library is
written in Python, and makes use of a number of existing packages to perform
the underlying computations and to create plots.




%package help
Summary:	Development documents and examples for pygeode
Provides:	python3-pygeode-doc
%description help
PyGeode is a software library intended to simplify the management, analysis,
and visualization of gridded geophysical datasets such as those generated by
climate models. The library provides three main advantages. Firstly, it can
define a geophysical coordinate system for any given dataset, and allows
operations to be carried conceptually in this physical coordinate system, in
a way that is independent of the native coordinate system of a particular
dataset. This greatly simplifies working with datasets from different
sources. Secondly, the library allows mathematical operations to be performed
on datasets which fit on disk but not in memory; this is useful for dealing
with the extremely large datasets generated by climate models, and permits
operations to be performed over networks. Finally, the library provides tools
for visualizing these datasets in a scientifically useful way. The library is
written in Python, and makes use of a number of existing packages to perform
the underlying computations and to create plots.




%prep
%autosetup -n pygeode-1.4.1

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

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

%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.4.1-1
- Package Spec generated