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
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
|
%global _empty_manifest_terminate_build 0
Name: python-nlpo3
Version: 1.2.6
Release: 1
Summary: Python binding for nlpO3 Thai language processing library in Rust
License: Apache-2.0
URL: https://github.com/PyThaiNLP/nlpo3/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/d6/3b/1514977f53c0e8e86b1fce6c9523cd7e248e729864505c7475bc13595700/nlpo3-1.2.6.tar.gz
%description
<a href="https://pypi.python.org/pypi/nlpo3"><img alt="pypi" src="https://img.shields.io/pypi/v/nlpo3.svg"/></a>
<a href="https://www.python.org/downloads/release/python-360/"><img alt="Python 3.6" src="https://img.shields.io/badge/python-3.6-blue.svg"/></a>
<a href="https://opensource.org/licenses/Apache-2.0"><img alt="License" src="https://img.shields.io/badge/License-Apache%202.0-blue.svg"/></a>
<a href="https://pepy.tech/project/nlpo3"><img alt="Downloads" src="https://pepy.tech/badge/nlpo3/month"/></a>
# nlpO3 Python binding
Python binding for nlpO3, a Thai natural language processing library in Rust.
## Features
- Thai word tokenizer
- `segment()` - use maximal-matching dictionary-based tokenization algorithm and honor Thai Character Cluster boundaries
- [2.5x faster](notebooks/nlpo3_segment_benchmarks.ipynb) than similar pure Python implementation (PyThaiNLP's newmm)
- `load_dict()` - load a dictionary from plain text file (one word per line)
## Dictionary file
- For the interest of library size, nlpO3 does not assume what dictionary the developer would like to use.
It does not come with a dictionary. A dictionary is needed for the dictionary-based word tokenizer.
- For tokenization dictionary, try
- [words_th.tx](https://github.com/PyThaiNLP/pythainlp/blob/dev/pythainlp/corpus/words_th.txt) from [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp/) - around 62,000 words (CC0)
- [word break dictionary](https://github.com/tlwg/libthai/tree/master/data) from [libthai](https://github.com/tlwg/libthai/) - consists of dictionaries in different categories, with make script (LGPL-2.1)
## Install
```bash
pip install nlpo3
```
## Usage
Load file `path/to/dict.file` to memory and assign a name `dict_name` to it.
Then tokenize a text with the `dict_name` dictionary:
```python
from nlpo3 import load_dict, segment
load_dict("path/to/dict.file", "custom_dict")
segment("สวัสดีครับ", "dict_name")
```
it will return a list of strings:
```python
['สวัสดี', 'ครับ']
```
(result depends on words included in the dictionary)
Use multithread mode, also use the `dict_name` dictionary:
```python
segment("สวัสดีครับ", dict_name="dict_name", parallel=True)
```
Use safe mode to avoid long waiting time in some edge cases
for text with lots of ambiguous word boundaries:
```python
segment("สวัสดีครับ", dict_name="dict_name", safe=True)
```
## Build
### Requirements
- [Rust 2018 Edition](https://www.rust-lang.org/tools/install)
- Python 3.6 or newer
- Python Development Headers
- Ubuntu: `sudo apt-get install python3-dev`
- macOS: No action needed
- [PyO3](https://github.com/PyO3/pyo3) - already included in Cargo.toml
- [setuptools-rust](https://github.com/PyO3/setuptools-rust)
### Steps
```bash
python -m pip install --upgrade build
python -m build
```
This should generate a wheel file, in `dist/` directory, which can be installed by pip.
## Issues
Please report issues at https://github.com/PyThaiNLP/nlpo3/issues
%package -n python3-nlpo3
Summary: Python binding for nlpO3 Thai language processing library in Rust
Provides: python-nlpo3
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-nlpo3
<a href="https://pypi.python.org/pypi/nlpo3"><img alt="pypi" src="https://img.shields.io/pypi/v/nlpo3.svg"/></a>
<a href="https://www.python.org/downloads/release/python-360/"><img alt="Python 3.6" src="https://img.shields.io/badge/python-3.6-blue.svg"/></a>
<a href="https://opensource.org/licenses/Apache-2.0"><img alt="License" src="https://img.shields.io/badge/License-Apache%202.0-blue.svg"/></a>
<a href="https://pepy.tech/project/nlpo3"><img alt="Downloads" src="https://pepy.tech/badge/nlpo3/month"/></a>
# nlpO3 Python binding
Python binding for nlpO3, a Thai natural language processing library in Rust.
## Features
- Thai word tokenizer
- `segment()` - use maximal-matching dictionary-based tokenization algorithm and honor Thai Character Cluster boundaries
- [2.5x faster](notebooks/nlpo3_segment_benchmarks.ipynb) than similar pure Python implementation (PyThaiNLP's newmm)
- `load_dict()` - load a dictionary from plain text file (one word per line)
## Dictionary file
- For the interest of library size, nlpO3 does not assume what dictionary the developer would like to use.
It does not come with a dictionary. A dictionary is needed for the dictionary-based word tokenizer.
- For tokenization dictionary, try
- [words_th.tx](https://github.com/PyThaiNLP/pythainlp/blob/dev/pythainlp/corpus/words_th.txt) from [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp/) - around 62,000 words (CC0)
- [word break dictionary](https://github.com/tlwg/libthai/tree/master/data) from [libthai](https://github.com/tlwg/libthai/) - consists of dictionaries in different categories, with make script (LGPL-2.1)
## Install
```bash
pip install nlpo3
```
## Usage
Load file `path/to/dict.file` to memory and assign a name `dict_name` to it.
Then tokenize a text with the `dict_name` dictionary:
```python
from nlpo3 import load_dict, segment
load_dict("path/to/dict.file", "custom_dict")
segment("สวัสดีครับ", "dict_name")
```
it will return a list of strings:
```python
['สวัสดี', 'ครับ']
```
(result depends on words included in the dictionary)
Use multithread mode, also use the `dict_name` dictionary:
```python
segment("สวัสดีครับ", dict_name="dict_name", parallel=True)
```
Use safe mode to avoid long waiting time in some edge cases
for text with lots of ambiguous word boundaries:
```python
segment("สวัสดีครับ", dict_name="dict_name", safe=True)
```
## Build
### Requirements
- [Rust 2018 Edition](https://www.rust-lang.org/tools/install)
- Python 3.6 or newer
- Python Development Headers
- Ubuntu: `sudo apt-get install python3-dev`
- macOS: No action needed
- [PyO3](https://github.com/PyO3/pyo3) - already included in Cargo.toml
- [setuptools-rust](https://github.com/PyO3/setuptools-rust)
### Steps
```bash
python -m pip install --upgrade build
python -m build
```
This should generate a wheel file, in `dist/` directory, which can be installed by pip.
## Issues
Please report issues at https://github.com/PyThaiNLP/nlpo3/issues
%package help
Summary: Development documents and examples for nlpo3
Provides: python3-nlpo3-doc
%description help
<a href="https://pypi.python.org/pypi/nlpo3"><img alt="pypi" src="https://img.shields.io/pypi/v/nlpo3.svg"/></a>
<a href="https://www.python.org/downloads/release/python-360/"><img alt="Python 3.6" src="https://img.shields.io/badge/python-3.6-blue.svg"/></a>
<a href="https://opensource.org/licenses/Apache-2.0"><img alt="License" src="https://img.shields.io/badge/License-Apache%202.0-blue.svg"/></a>
<a href="https://pepy.tech/project/nlpo3"><img alt="Downloads" src="https://pepy.tech/badge/nlpo3/month"/></a>
# nlpO3 Python binding
Python binding for nlpO3, a Thai natural language processing library in Rust.
## Features
- Thai word tokenizer
- `segment()` - use maximal-matching dictionary-based tokenization algorithm and honor Thai Character Cluster boundaries
- [2.5x faster](notebooks/nlpo3_segment_benchmarks.ipynb) than similar pure Python implementation (PyThaiNLP's newmm)
- `load_dict()` - load a dictionary from plain text file (one word per line)
## Dictionary file
- For the interest of library size, nlpO3 does not assume what dictionary the developer would like to use.
It does not come with a dictionary. A dictionary is needed for the dictionary-based word tokenizer.
- For tokenization dictionary, try
- [words_th.tx](https://github.com/PyThaiNLP/pythainlp/blob/dev/pythainlp/corpus/words_th.txt) from [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp/) - around 62,000 words (CC0)
- [word break dictionary](https://github.com/tlwg/libthai/tree/master/data) from [libthai](https://github.com/tlwg/libthai/) - consists of dictionaries in different categories, with make script (LGPL-2.1)
## Install
```bash
pip install nlpo3
```
## Usage
Load file `path/to/dict.file` to memory and assign a name `dict_name` to it.
Then tokenize a text with the `dict_name` dictionary:
```python
from nlpo3 import load_dict, segment
load_dict("path/to/dict.file", "custom_dict")
segment("สวัสดีครับ", "dict_name")
```
it will return a list of strings:
```python
['สวัสดี', 'ครับ']
```
(result depends on words included in the dictionary)
Use multithread mode, also use the `dict_name` dictionary:
```python
segment("สวัสดีครับ", dict_name="dict_name", parallel=True)
```
Use safe mode to avoid long waiting time in some edge cases
for text with lots of ambiguous word boundaries:
```python
segment("สวัสดีครับ", dict_name="dict_name", safe=True)
```
## Build
### Requirements
- [Rust 2018 Edition](https://www.rust-lang.org/tools/install)
- Python 3.6 or newer
- Python Development Headers
- Ubuntu: `sudo apt-get install python3-dev`
- macOS: No action needed
- [PyO3](https://github.com/PyO3/pyo3) - already included in Cargo.toml
- [setuptools-rust](https://github.com/PyO3/setuptools-rust)
### Steps
```bash
python -m pip install --upgrade build
python -m build
```
This should generate a wheel file, in `dist/` directory, which can be installed by pip.
## Issues
Please report issues at https://github.com/PyThaiNLP/nlpo3/issues
%prep
%autosetup -n nlpo3-1.2.6
%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-nlpo3 -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.6-1
- Package Spec generated
|
