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
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
|
%global _empty_manifest_terminate_build 0
Name: python-scam
Version: 0.3.12
Release: 1
Summary: Source Code Analyzing Maching is an application for the analysis of similarities between source code files. Currently with Python, Java, C, and C++ file checking capabilities.
License: MIT License
URL: https://github.com/SourceCodeAnalyzingMachine/SCAM_Public
Source0: https://mirrors.aliyun.com/pypi/web/packages/11/67/f8c423c0d909ae120fa4759248732cad7362a96cdf616a2c881fb851a12b/scam-0.3.12.tar.gz
BuildArch: noarch
Requires: python3-javalang
Requires: python3-PySide2
Requires: python3-matplotlib
Requires: python3-networkx
Requires: python3-clang
Requires: python3-pycparser
Requires: python3-grave
%description
# Source Code Analyzing Machine
[GitHub Repo Link](https://github.com/SourceCodeAnalyzingMachine/SCAM_Public)
- A locally run application that demonstrates different matching algorithms
- Current release compares files as a one to one connection
- Outputs given percentage of similarity and highlighted visualization of the matching sections of input documents
- Supports C, C++, Java, and Python files
## Getting Started
Install PySide2: `pip install scam`
Run from directly outside `source` directory: `python3 ./source/scam.py`
## Getting Started
#### STEP 1
it is recommended to create and navigate to virtual environemnt using python to run script
python3.8 -m venv <dir>
source <dir>/bin/activate
#### STEP 2
install source_analyzer python package from Python Package Index.
**Note:** must be running python version 3.8 or greater
pip install scam
###### OR
Download the latest built compressed file release from [source_analyzer-X.X.X.tar.gz](https://github.com/SourceCodeAnalyzingMachine/SCAM_Public/tree/master/dist)
then install downloaded file
pip3 install /<path_to_file>/scam-0.0.2.tar.gz
#### STEP 3
(make sure xlaunch is running)
run script
scam
## Known Errors/Issues
Issues-
Python files featuring a heavy amount of print statements may cause skewed data.
## Project Group: Codalyzers
- Djoni Austin | @dcaust1n
- Jared Dawson | @lukinator1
- Shane Eising | @seising99
- Julian Marott | @jmmoratta
## References:
https://theory.stanford.edu/~aiken/publications/papers/sigmod03.pdf
%package -n python3-scam
Summary: Source Code Analyzing Maching is an application for the analysis of similarities between source code files. Currently with Python, Java, C, and C++ file checking capabilities.
Provides: python-scam
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-scam
# Source Code Analyzing Machine
[GitHub Repo Link](https://github.com/SourceCodeAnalyzingMachine/SCAM_Public)
- A locally run application that demonstrates different matching algorithms
- Current release compares files as a one to one connection
- Outputs given percentage of similarity and highlighted visualization of the matching sections of input documents
- Supports C, C++, Java, and Python files
## Getting Started
Install PySide2: `pip install scam`
Run from directly outside `source` directory: `python3 ./source/scam.py`
## Getting Started
#### STEP 1
it is recommended to create and navigate to virtual environemnt using python to run script
python3.8 -m venv <dir>
source <dir>/bin/activate
#### STEP 2
install source_analyzer python package from Python Package Index.
**Note:** must be running python version 3.8 or greater
pip install scam
###### OR
Download the latest built compressed file release from [source_analyzer-X.X.X.tar.gz](https://github.com/SourceCodeAnalyzingMachine/SCAM_Public/tree/master/dist)
then install downloaded file
pip3 install /<path_to_file>/scam-0.0.2.tar.gz
#### STEP 3
(make sure xlaunch is running)
run script
scam
## Known Errors/Issues
Issues-
Python files featuring a heavy amount of print statements may cause skewed data.
## Project Group: Codalyzers
- Djoni Austin | @dcaust1n
- Jared Dawson | @lukinator1
- Shane Eising | @seising99
- Julian Marott | @jmmoratta
## References:
https://theory.stanford.edu/~aiken/publications/papers/sigmod03.pdf
%package help
Summary: Development documents and examples for scam
Provides: python3-scam-doc
%description help
# Source Code Analyzing Machine
[GitHub Repo Link](https://github.com/SourceCodeAnalyzingMachine/SCAM_Public)
- A locally run application that demonstrates different matching algorithms
- Current release compares files as a one to one connection
- Outputs given percentage of similarity and highlighted visualization of the matching sections of input documents
- Supports C, C++, Java, and Python files
## Getting Started
Install PySide2: `pip install scam`
Run from directly outside `source` directory: `python3 ./source/scam.py`
## Getting Started
#### STEP 1
it is recommended to create and navigate to virtual environemnt using python to run script
python3.8 -m venv <dir>
source <dir>/bin/activate
#### STEP 2
install source_analyzer python package from Python Package Index.
**Note:** must be running python version 3.8 or greater
pip install scam
###### OR
Download the latest built compressed file release from [source_analyzer-X.X.X.tar.gz](https://github.com/SourceCodeAnalyzingMachine/SCAM_Public/tree/master/dist)
then install downloaded file
pip3 install /<path_to_file>/scam-0.0.2.tar.gz
#### STEP 3
(make sure xlaunch is running)
run script
scam
## Known Errors/Issues
Issues-
Python files featuring a heavy amount of print statements may cause skewed data.
## Project Group: Codalyzers
- Djoni Austin | @dcaust1n
- Jared Dawson | @lukinator1
- Shane Eising | @seising99
- Julian Marott | @jmmoratta
## References:
https://theory.stanford.edu/~aiken/publications/papers/sigmod03.pdf
%prep
%autosetup -n scam-0.3.12
%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-scam -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.12-1
- Package Spec generated
|