summaryrefslogtreecommitdiff
path: root/python-adpyne-207.spec
blob: fdc9aee2fe4be17a71fb05ca4ff68c20616c744c (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
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
%global _empty_manifest_terminate_build 0
Name:		python-ADPYNE-207
Version:	0.1.4
Release:	1
Summary:	Automatic Differentiation Package for Python
License:	MIT License
URL:		https://github.com/PYNE-AD/cs207-FinalProject
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/49/15/c7b0a40da1ea04ade5389c1056bdf440b63d331c9bb3e4e57dc6603d489f/ADPYNE-207-0.1.4.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-pytest

%description
[![Build Status](https://travis-ci.org/PYNE-AD/cs207-FinalProject.svg?branch=master)](https://travis-ci.org/PYNE-AD/cs207-FinalProject)

[![Coverage Status](https://codecov.io/gh/PYNE-AD/cs207-FinalProject/branch/master/graph/badge.svg)](https://codecov.io/gh/PYNE-AD/cs207-FinalProject)

# cs207-FinalProject

## Group No. 12

- 
  Paulina Toro Isaza

- Yaowei Li

- Nikhil Vanderklaauw

- Emma Li

## Installation

### Requirements

1. Ensure you can run Python from the command line. 
   - You can check this by running: `python --version`
2. Ensure you can run  pip form the command line. 
   - You can check this by running: `pip --version`

### Install the package

1. Using virtual environment

   - Create an environment with the command: `conda create --name env_name python`
   - Activating the environment: `conda activate env_name`
   - You can get out of the environment (deactivate it) by typing: `conda deactivate`

2. Install the package from PyPi and dependencies

   - Type  `pip install ADPYNE-207`





%package -n python3-ADPYNE-207
Summary:	Automatic Differentiation Package for Python
Provides:	python-ADPYNE-207
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-ADPYNE-207
[![Build Status](https://travis-ci.org/PYNE-AD/cs207-FinalProject.svg?branch=master)](https://travis-ci.org/PYNE-AD/cs207-FinalProject)

[![Coverage Status](https://codecov.io/gh/PYNE-AD/cs207-FinalProject/branch/master/graph/badge.svg)](https://codecov.io/gh/PYNE-AD/cs207-FinalProject)

# cs207-FinalProject

## Group No. 12

- 
  Paulina Toro Isaza

- Yaowei Li

- Nikhil Vanderklaauw

- Emma Li

## Installation

### Requirements

1. Ensure you can run Python from the command line. 
   - You can check this by running: `python --version`
2. Ensure you can run  pip form the command line. 
   - You can check this by running: `pip --version`

### Install the package

1. Using virtual environment

   - Create an environment with the command: `conda create --name env_name python`
   - Activating the environment: `conda activate env_name`
   - You can get out of the environment (deactivate it) by typing: `conda deactivate`

2. Install the package from PyPi and dependencies

   - Type  `pip install ADPYNE-207`





%package help
Summary:	Development documents and examples for ADPYNE-207
Provides:	python3-ADPYNE-207-doc
%description help
[![Build Status](https://travis-ci.org/PYNE-AD/cs207-FinalProject.svg?branch=master)](https://travis-ci.org/PYNE-AD/cs207-FinalProject)

[![Coverage Status](https://codecov.io/gh/PYNE-AD/cs207-FinalProject/branch/master/graph/badge.svg)](https://codecov.io/gh/PYNE-AD/cs207-FinalProject)

# cs207-FinalProject

## Group No. 12

- 
  Paulina Toro Isaza

- Yaowei Li

- Nikhil Vanderklaauw

- Emma Li

## Installation

### Requirements

1. Ensure you can run Python from the command line. 
   - You can check this by running: `python --version`
2. Ensure you can run  pip form the command line. 
   - You can check this by running: `pip --version`

### Install the package

1. Using virtual environment

   - Create an environment with the command: `conda create --name env_name python`
   - Activating the environment: `conda activate env_name`
   - You can get out of the environment (deactivate it) by typing: `conda deactivate`

2. Install the package from PyPi and dependencies

   - Type  `pip install ADPYNE-207`





%prep
%autosetup -n ADPYNE-207-0.1.4

%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-ADPYNE-207 -f filelist.lst
%dir %{python3_sitelib}/*

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

%changelog
* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.4-1
- Package Spec generated