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
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
|
%global _empty_manifest_terminate_build 0
Name: python-twinpics
Version: 0.0.209
Release: 1
Summary: twinpics — Social Media Prediction Model
License: MIT License
URL: https://www.github.com/albMart/twinpics
Source0: https://mirrors.aliyun.com/pypi/web/packages/6d/39/008e86255da45338e42417777a43257937171180a9eaf0a95e4823bd10c3/twinpics-0.0.209.tar.gz
BuildArch: noarch
%description
# twinpics
## Introduction
Social Media Prediction Model
## Installation
In order to get this package working you will need to **install it via pip** (with a Python3.5 version or higher) on the terminal by typing:
``$ pip install twinpics``
Additionally, **if you want to use the latest version instead of the stable one**, you can just use the following command:
``$ pip install git+https://github.com/albMart/Twinpics.git@developer``
**The developer branch ensures the user that the most updated version will always be the working and fully operative** so as not to wait until the stable release on the master branch comes out (which eventually may take some time depending on the amount of issues to solve).
## Documentation
You can find the **complete developer documentation** at: https://twinpics.readthedocs.io/, hosted on [Read the Docs](https://readthedocs.org/) and generated using [sphinx](https://www.sphinx-doc.org/en/master/) with the theme [sphinx_rtd_theme](https://github.com/readthedocs/sphinx_rtd_theme) which is the standard Read the Docs theme for sphinx.
## Usage
So as to use this Python package, a sample piece of code is presented below:
```python
import twinpics
twinpics.sample_function()
```
So on, the previous piece of code outputs the following line:
```{r, engine='python', count_lines}
"This is a sample function"
```
## Contribute
As this is an open source project it is **open to contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas**. There is an open tab of [issues](https://github.com/albMart/Twinpics/issues) where anyone can open new issues if needed or navigate through them in order to solve them or contribute to its solving. Remember that **issues are not threads to describe multiple problems**, this does not mean that issues can't be discussed, but so to keep a structured project management, the same issue should not describe different problems, just the main one and some nested/related errors that may be found.
## Citation
When citing this repository on your publications please use the following **BibTeX** citation:
```
@misc{
twinpics,
author = { Alberto Martín Mateos and Niloufar Shoeibi },
title = { twinpics - Social Media Prediction Model },
year = { 2020 },
publisher = {GitHub},
journal = {GitHub Repository},
howpublished = {\url{https://github.com/albMart/twinpics}}
}
```
### This repository has been generated using [pypackage-cookie](https://github.com/alvarobartt/pypackage-cookie) made with love by @alvarobartt
%package -n python3-twinpics
Summary: twinpics — Social Media Prediction Model
Provides: python-twinpics
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-twinpics
# twinpics
## Introduction
Social Media Prediction Model
## Installation
In order to get this package working you will need to **install it via pip** (with a Python3.5 version or higher) on the terminal by typing:
``$ pip install twinpics``
Additionally, **if you want to use the latest version instead of the stable one**, you can just use the following command:
``$ pip install git+https://github.com/albMart/Twinpics.git@developer``
**The developer branch ensures the user that the most updated version will always be the working and fully operative** so as not to wait until the stable release on the master branch comes out (which eventually may take some time depending on the amount of issues to solve).
## Documentation
You can find the **complete developer documentation** at: https://twinpics.readthedocs.io/, hosted on [Read the Docs](https://readthedocs.org/) and generated using [sphinx](https://www.sphinx-doc.org/en/master/) with the theme [sphinx_rtd_theme](https://github.com/readthedocs/sphinx_rtd_theme) which is the standard Read the Docs theme for sphinx.
## Usage
So as to use this Python package, a sample piece of code is presented below:
```python
import twinpics
twinpics.sample_function()
```
So on, the previous piece of code outputs the following line:
```{r, engine='python', count_lines}
"This is a sample function"
```
## Contribute
As this is an open source project it is **open to contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas**. There is an open tab of [issues](https://github.com/albMart/Twinpics/issues) where anyone can open new issues if needed or navigate through them in order to solve them or contribute to its solving. Remember that **issues are not threads to describe multiple problems**, this does not mean that issues can't be discussed, but so to keep a structured project management, the same issue should not describe different problems, just the main one and some nested/related errors that may be found.
## Citation
When citing this repository on your publications please use the following **BibTeX** citation:
```
@misc{
twinpics,
author = { Alberto Martín Mateos and Niloufar Shoeibi },
title = { twinpics - Social Media Prediction Model },
year = { 2020 },
publisher = {GitHub},
journal = {GitHub Repository},
howpublished = {\url{https://github.com/albMart/twinpics}}
}
```
### This repository has been generated using [pypackage-cookie](https://github.com/alvarobartt/pypackage-cookie) made with love by @alvarobartt
%package help
Summary: Development documents and examples for twinpics
Provides: python3-twinpics-doc
%description help
# twinpics
## Introduction
Social Media Prediction Model
## Installation
In order to get this package working you will need to **install it via pip** (with a Python3.5 version or higher) on the terminal by typing:
``$ pip install twinpics``
Additionally, **if you want to use the latest version instead of the stable one**, you can just use the following command:
``$ pip install git+https://github.com/albMart/Twinpics.git@developer``
**The developer branch ensures the user that the most updated version will always be the working and fully operative** so as not to wait until the stable release on the master branch comes out (which eventually may take some time depending on the amount of issues to solve).
## Documentation
You can find the **complete developer documentation** at: https://twinpics.readthedocs.io/, hosted on [Read the Docs](https://readthedocs.org/) and generated using [sphinx](https://www.sphinx-doc.org/en/master/) with the theme [sphinx_rtd_theme](https://github.com/readthedocs/sphinx_rtd_theme) which is the standard Read the Docs theme for sphinx.
## Usage
So as to use this Python package, a sample piece of code is presented below:
```python
import twinpics
twinpics.sample_function()
```
So on, the previous piece of code outputs the following line:
```{r, engine='python', count_lines}
"This is a sample function"
```
## Contribute
As this is an open source project it is **open to contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas**. There is an open tab of [issues](https://github.com/albMart/Twinpics/issues) where anyone can open new issues if needed or navigate through them in order to solve them or contribute to its solving. Remember that **issues are not threads to describe multiple problems**, this does not mean that issues can't be discussed, but so to keep a structured project management, the same issue should not describe different problems, just the main one and some nested/related errors that may be found.
## Citation
When citing this repository on your publications please use the following **BibTeX** citation:
```
@misc{
twinpics,
author = { Alberto Martín Mateos and Niloufar Shoeibi },
title = { twinpics - Social Media Prediction Model },
year = { 2020 },
publisher = {GitHub},
journal = {GitHub Repository},
howpublished = {\url{https://github.com/albMart/twinpics}}
}
```
### This repository has been generated using [pypackage-cookie](https://github.com/alvarobartt/pypackage-cookie) made with love by @alvarobartt
%prep
%autosetup -n twinpics-0.0.209
%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-twinpics -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.209-1
- Package Spec generated
|
