semvec/pypi-packages huggingface dataset:
transQA 0.0.16
Lib for transformer NN question answering

# transQA 

Библиотека предназначена для генерации текста или ответа на основе полученных вопроса, ответа, модели и прочих параметров

## Install

Для установки выполните команду:

```
pip install svn+http://svn.consultant.ru/svn/Internal/Docs/NRP/pylibs/transQA

```

### Errors
Если при установке requirements.txt возникли проблемы с torch==1.13.0+cu117 следует использовать команду для отдельной установки:

```
pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117

```
В целом все требования из requirements.txt уже содержатся в Python396TF25GPU_release1.1

Кроме sentencepiece==0.1.97, который нужен для работы моделей на основе T5
Его необходимо устанавливать отдельно
ToMiddleChinese 0.2.2
中古漢語自動標註工具 Middle Chinese Pronunciation Automatic Labeling Tool
Requires Python: >=3.5, <4
Keywords: chinese middle-chinese linguistics nlp natural-language-processing

# ToMiddleChinese [![Release Python Package](https://github.com/nk2028/ToMiddleChinese/actions/workflows/python-publish.yml/badge.svg)](https://github.com/nk2028/ToMiddleChinese/actions/workflows/python-publish.yml)

### Install

```sh
$ pip install ToMiddleChinese
```

### Usage

```python
>>> import ToMiddleChinese

>>> # 音韻地位 (Description of Phonological Position)
>>> ToMiddleChinese.get_pos_list('遙襟甫暢，逸興遄飛。')
[('遙', '以開三宵平'), ('襟', '見開三B侵平'), ('甫', '幫三虞上'), ('暢', '徹開三陽去'), ('，', None), ('逸', '以開三眞入'), ('興', '曉開三蒸平'), ('遄', '常合三仙平'), ('飛', '幫三微平'), ('。', None)]
>>> ToMiddleChinese.get_pos('遙襟甫暢，逸興遄飛。')
'遙（以開三宵平）襟（見開三B侵平）甫（幫三虞上）暢（徹開三陽去），逸（以開三眞入）興（曉開三蒸平）遄（常合三仙平）飛（幫三微平）。'
>>> ToMiddleChinese.get_pos_text('遙襟甫暢，逸興遄飛。')
'以開三宵平　見開三B侵平　幫三虞上　徹開三陽去，以開三眞入　曉開三蒸平　常合三仙平　幫三微平。'

>>> # 切韻拼音 (Tshet-uinh Phonetic Alphabet)
>>> ToMiddleChinese.get_tupa_list('遙襟甫暢，逸興遄飛。')
[('遙', 'jiew'), ('襟', 'kyim'), ('甫', 'puoq'), ('暢', 'trhyangh'), ('，', None), ('逸', 'jit'), ('興', 'hyngh'), ('遄', 'djwien'), ('飛', 'puj'), ('。', None)]
>>> ToMiddleChinese.get_tupa('遙襟甫暢，逸興遄飛。')
'遙(jiew)襟(kyim)甫(puoq)暢(trhyangh)，逸(jit)興(hyngh)遄(djwien)飛(puj)。'
>>> ToMiddleChinese.get_tupa_text('遙襟甫暢，逸興遄飛。')
'jiew kyim puoq trhyangh, jit hyngh djwien puj.'

>>> # 古韻羅馬字 (Koxyonh’s Romanization)
>>> ToMiddleChinese.get_kyonh_list('遙襟甫暢，逸興遄飛。')
[('遙', 'jeu'), ('襟', 'kim'), ('甫', 'pyox'), ('暢', 'thriangh'), ('，', None), ('逸', 'jit'), ('興', 'hingh'), ('遄', 'zjyen'), ('飛', 'pyoi'), ('。', None)]
>>> ToMiddleChinese.get_kyonh('遙襟甫暢，逸興遄飛。')
'遙(jeu)襟(kim)甫(pyox)暢(thriangh)，逸(jit)興(hingh)遄(zjyen)飛(pyoi)。'
>>> ToMiddleChinese.get_kyonh_text('遙襟甫暢，逸興遄飛。')
'jeu kim pyox thriangh, jit hingh zjyen pyoi.'

>>> # unt 切韻擬音 (unt’s Qieyun Reconstruction)
>>> ToMiddleChinese.get_unt_list('遙襟甫暢，逸興遄飛。')
[('遙', 'jew'), ('襟', 'kɹim'), ('甫', 'púo'), ('暢', 'ʈʰàɴ'), ('，', None), ('逸', 'jit'), ('興', 'xɨ̀ŋ'), ('遄', 'dʑwen'), ('飛', 'puj'), ('。', None)]
>>> ToMiddleChinese.get_unt('遙襟甫暢，逸興遄飛。')
'遙[jew]襟[kɹim]甫[púo]暢[ʈʰàɴ]，逸[jit]興[xɨ̀ŋ]遄[dʑwen]飛[puj]。'
>>> ToMiddleChinese.get_unt_text('遙襟甫暢，逸興遄飛。')
'jew.kɹim.púo.ʈʰàɴ | jit.xɨ̀ŋ.dʑwen.puj'
```
dredger 0.0.8
This module is used to download uspto patent applications and grant files. It also has usefull datetime functions
Requires Python: >=3.6

#dredger documentation
This module is used to download uspto patent applications and grant files. USPTO publishes all granted patents of the week on tuesday and all applications on Thursday.

Additionally the module has two important date functions (date_on_day & weekday_count)

The function takes following inputs(two)
- [Mandatory] Type of file to be downloaded i.e. applications or grants or pdfs[string]
- [Optional] Date (function will automatically calculates the last Tuesday of Thursday)