Nagisa

- Fix hard-coding process for noun id conversion in tagger.py https://github.com/taishi-i/nagisa/commit/e638343e21559a072471c03ff672a67cf8196b77
- [Hidden the dynet log](https://github.com/taishi-i/dynet/blob/master/dynet/init.cc) that appears when `import nagisa` is used in Python 3.8, 3.9, 3.10, 3.11, and 3,12 on Linux
- Provide [the nagisa-demo page](https://huggingface.co/spaces/taishi-i/nagisa-demo) in Hugging Face Spaces
- Provide [the stopwords for nagisa](https://huggingface.co/datasets/taishi-i/nagisa_stopwords) in Hugging Face Datasets
- Update [read the docs documents](https://nagisa.readthedocs.io/en/latest)
- Compatible with Python 3.12 on Linux

- Add Python wheels (3.6, 3.7, 3.8, 3.9, 3.10, 3.11, **3,12**) to [PyPI](https://pypi.org/project/nagisa/0.2.10/) for Linux
- Add Python wheels (3.6, 3.7, 3.8, 3.9, 3.10, **3.11**) to [PyPI](https://pypi.org/project/nagisa/0.2.10/) for macOS Intel
- Add Python wheels (3.6, 3.7, 3.8) to [PyPI](https://pypi.org/project/nagisa/0.2.10/) for Windows

- Improve the bottleneck in part-of-speech tagging caused by 'list and append', problem resolved by using 'set and add'

Until now, there was an issue where the processing time would slow down as the results analyzed by the following code increased in [tagger.py](https://github.com/taishi-i/nagisa/blob/master/nagisa/tagger.py).

python
tids = []
for w in words:
if w in self._word2postags:
w2p = self._word2postags[w]
else:
w2p = [0]
if self.use_noun_heuristic is True:
if w.isalnum() is True:
if w2p == [0]:
w2p = [self._pos2id[u'名詞']]
else:
bottleneck is here!
w2p.append(self._pos2id[u'名詞'])
w2p = list(set(w2p))
tids.append(w2p)


By changing to [the following code](https://github.com/taishi-i/nagisa/blob/4179ebe94bf5743a6d7a4965156dff185a359803/nagisa/tagger.py#L122), we have resolved the issue of the processing slowing down.

python
tids = []
for w in words:
w2p = set(self._word2postags.get(w, [0]))
if self.use_noun_heuristic and w.isalnum():
if 0 in w2p:
w2p.remove(0)
w2p.add(2) nagisa.tagger._pos2id["名詞"] = 2
tids.append(list(w2p))



- Fix dash-separated 'description-file' error in setup.cfg to use 'description_file' in [setup.cfg](https://github.com/taishi-i/nagisa/blob/master/setup.cfg)


[metadata]
description_file = README.md



- Add Python wheels (3.6, 3.7, 3.8, 3.9, 3.10, 3.11) to PyPI for Linux
- Add Python wheels (3.6, 3.7, 3.8, 3.9, 3.10) to PyPI for macOS
- Add Python wheels (3.6, 3.7, 3.8) to PyPI for Windows

- Fix `AttributeError` in nagisa_utils.pyx when tokenizing a text containing [Latin capital letter I with dot above 'İ'](https://unicode.scarfboy.com/?s=U%2B0130)

When tokenizing a text containing 'İ', an `AttributeError` has occurred. This is because, as the following example shows, lowering 'İ' would have changed to the length of 2, and would not have been extracting features correctly.

python
>>> text = "İ" [U+0130]
>>> print(len(text))
1
>>> text = text.lower() [U+0069] [U+0307]
>>> print(text)
'i̇'
>>> print(len(text))
2


To avoid this error, the following preprocess was added to the source code [modification 1](https://github.com/taishi-i/nagisa/blob/0513fa28b5ab1e5cb82f8bbfd6078971a66b50f1/nagisa/nagisa_utils.pyx#L46), [modification 2](https://github.com/taishi-i/nagisa/blob/0513fa28b5ab1e5cb82f8bbfd6078971a66b50f1/nagisa/nagisa_utils.pyx#L54).

python
text = text.replace('İ', 'I')


- Add Python wheels (3.6, 3.7, 3.8, 3.9, 3.10, 3.11) to PyPI for Linux
- Add Python wheels (3.6, 3.7, 3.8, 3.9, 3.10) to PyPI for macOS
- Add Python wheels (3.6, 3.7, 3.8) to PyPI for Windows

- Fix `AttributeError: module 'utils'` to rename utils.pyx into nagisa_utils.pyx 14
- Add wheels to PyPI for Linux and Windows users
- Increase test coverage from 92% to 96%
- Fix the problem where min_count (threshold=hp['THRESHOLD']) parameter was not used in train.py

- Increase test coverage from 88% to 92%
- Fix `readFile(filename)` in mecab_system_eval.py for windows users
- Add python3.7 to .travis.yml
- Add a DOI with the data archiving tool Zenodo to README.md
- Add `nagisa-0.2.6-cp36-cp36m-win_amd64.whl` and `nagisa-0.2.6-cp37-cp37m-win_amd64.whl` to PyPI to install nagisa without Build Tools for Windows users 23
- Add `nagisa-0.2.6-*-manylinux1_i686.whl` and `nagisa-0.2.6-*-manylinux1_x86_64.whl` to PyPI to install nagisa for Linux users

- Fix a white space bug in nagisa.decode. This fix resolves an error that occurs when decoding(nagisa.decode) words - contain whitespace.
- Add `__version__` to `__init__.py`
- Add slides link at PyCon JP 2019 to README.md