semvec/pypi-packages huggingface dataset:
cardilib 0.0.3
Python library for performing biomedical images analysis

CardiAP
=======

Copyright © `2020-2021 ` `Velez Rueda, Garcia Smith, Sommese`

> Python library for performing biomedical images analysis. Cardilib allows users to easily work with images confocal microscopy, and obtain representative amplitude and kinetics data.


# Installation

```bash
# Create and active a virtual env
$ python3 -m venv .venv
$ source .venv/bin/activate
# install the project
$ pip install -e .
```

# Running tests

```bash
# install tox
$ pip install tox
# execute tox
$ tox
```


# Publishing project

```bash
# update package version in setup.cfg
# them run these command:
$ git tag <version>
$ git push origin HEAD --tags
# build the package
$ tox -e build
# publish to test.pypi
$ tox -e publish 
# publish to pypi
$ tox -e --publish -- --repository pypi
```


# Using cardilib on line

You can find a web server for using cardilib hosted in Binder. You can launch [CardiAP here](http://cardiap.herokuapp.com/)
nmigen-tool 0.0.1
nmigen command line tool for generating verilog, rtlil, cxxrtl and showing design diagrams

# nmigen-tool
command line tool for frequent nmigen tasks (generate sources, show design)

Usage:
* generate verilog:
    `nmigen generate verilog nmigen_library.utils.EdgeToPulse`

* generate RTLIL:
    `nmigen generate rtlil nmigen_library.utils.EdgeToPulse`

* generate CXXRTL:
    `nmigen generate cxxrtl nmigen_library.utils.EdgeToPulse`

* show yosys RTL representation:
    `nmigen show nmigen_library.utils.EdgeToPulse`
    !['nmigen show' command](https://github.com/hansfbaier/nmigen-tool/blob/main/doc/show.png)

* show netlistsvg RTL representation:
    `nmigen netlistsvg  nmigen_library.utils.EdgeToPulse`
    !['nmigen netlistsvg' command](https://github.com/hansfbaier/nmigen-tool/blob/main/doc/netlistsvg.png)
krong 0.0.0
KRONG: KoRean language processing toolkit based On Non-neural methods for General purpose
Requires Python: >=3.6.0

# Krong
KRONG: KoRean language processing toolkit based On Non-neural methods for General purpose

## Tasks
1. `Krong(task="tagging")`: 형태소 분석
2. `Krong(task="tokenization")`: 토큰화
3. `Krong(task="augmentation")`: 어그먼테이션
4. `Krong(task="hangulize")`: 한글라이즈
5. `Krong(task="romanize")`: 로마나이즈
6. `Krong(task="josa")`: 조사처리
7. `Krong(task="summary")`: 문서요약
8. `Krong(task="keyword")`: 키워드 추출
9. `Krong(task="hanja2hangul")`: 한자 → 한글 변환
10. `Krong(task="is_hangul")`: 한글 여부 판별
11. `Krong(task="is_hanja")`: 한자 여부 판별
12. `Krong(task="split_hanja")`: 한자,한글 분리기
13. `Krong(task="jamo")`: 자모 분리/조합
14. `Krong(task="has_jongsung")`: 종성 존재판별
15. `Krong(task="extract")`: 각종 정규식 추출기
16. `Krong(task="spacing")`: 띄어쓰기 교정기
17. `Krong(task="grammar")`: 맞춤법 검사기
18. `Krong(task="sent_tokenization")`: 문장 토큰화
19. `Krong(task="pronunciation")`: 발음 표기