semvec/pypi-packages huggingface dataset:
foliantcontrib.epsconvert 1.0.7
EPS to PNG converter for Foliant.
License: MIT

# EPSConvert

EPSConvert is a tool to convert EPS images into PNG format.

## Installation

```bash
$ pip install foliantcontrib.epsconvert
```

## Config

To enable the preprocessor, add `epsconvert` to `preprocessors` section in the project config:

```yaml
preprocessors:
    - epsconvert
```

The preprocessor has a number of options:

```yaml
preprocessors:
    - epsconvert:
        convert_path: convert
        cache_dir: !path .epsconvertcache
        image_width: 0
        targets:
            - pre
            - mkdocs
            - site
            - ghp
```

`convert_path`
:   Path to `convert` binary. By default, it is assumed that you have this command in `PATH`. [ImageMagick](https://imagemagick.org/) must be installed.

`cache_dir`
:   Directory to store processed images. They may be reused later.

`image_width`
:   Width of PNG images in pixels. By default (in case when the value is `0`), the width of each image is set by ImageMagick automatically. Default behavior is recommended. If the width is given explicitly, file size may increase.

`targets`
:   Allowed targets for the preprocessor. If not specified (by default), the preprocessor applies to all targets.
foliantcontrib.imgconvert 1.0.0
Image converter for Foliant.
License: MIT

# ImgConvert

ImgConvert is a tool to convert images from an arbitrary format into PNG.

## Installation

```bash
$ pip install foliantcontrib.imgconvert
```

## Config

To enable the preprocessor, add `imgconvert` to `preprocessors` section in the project config:

```yaml
preprocessors:
    - imgconvert
```

The preprocessor has a number of options with the following default values:

```yaml
preprocessors:
    - imgconvert:
        convert_path: convert
        cache_dir: !path .imgconvertcache
        image_width: 0
        formats: {}
```

`convert_path`
:   Path to `convert` binary. By default, it is assumed that you have this command in `PATH`. [ImageMagick](https://imagemagick.org/) must be installed.

`cache_dir`
:   Directory to store processed images. They may be reused later.

`image_width`
:   Width of PNG images in pixels. By default (in case when the value is `0`), the width of each image is set by ImageMagick automatically. Default behavior is recommended. If the width is given explicitly, file size may increase.

`formats`
:   Settings that apply to each format of source images.

The `formats` option may be used to define lists of targets for each format. If targets for a format are not specified explicitly, the preprocessor will be applied to all targets.

Example:

```yaml
formats:
    eps:
        targets:
            - site
    svg:
        targets:
            - docx
```

Formats should be named in lowercase.
omega-coding 1.0.4
Python package implementing omega coding.
License: MIT

omega_coding
=========================================================================================
|travis| |sonar_quality| |sonar_maintainability| |codacy| |code_climate_maintainability| |pip| |downloads|

Python package implementing omega coding.

How do I install this package?
----------------------------------------------
As usual, just download it using pip:

.. code:: shell

    pip install omega_coding

Tests Coverage
----------------------------------------------
Since some software handling coverages sometime get slightly different results, here's three of them:

|coveralls| |sonar_coverage| |code_climate_coverage|


Usage example
-----------------------------------------------

.. code:: python

    from omega_coding image omega_coding, decode_omega_coding

    omega_coding(14) # 1111100
    assert decode_omega_coding(omega_coding(14)) == 14 # True


.. |travis| image:: https://travis-ci.org/LucaCappelletti94/omega_coding.png
   :target: https://travis-ci.org/LucaCappelletti94/omega_coding
   :alt: Travis CI build

.. |sonar_quality| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_omega_coding&metric=alert_status
    :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_omega_coding
    :alt: SonarCloud Quality

.. |sonar_maintainability| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_omega_coding&metric=sqale_rating
    :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_omega_coding
    :alt: SonarCloud Maintainability

.. |sonar_coverage| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_omega_coding&metric=coverage
    :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_omega_coding
    :alt: SonarCloud Coverage

.. |coveralls| image:: https://coveralls.io/repos/github/LucaCappelletti94/omega_coding/badge.svg?branch=master
    :target: https://coveralls.io/github/LucaCappelletti94/omega_coding?branch=master
    :alt: Coveralls Coverage

.. |pip| image:: https://badge.fury.io/py/omega-coding.svg
    :target: https://badge.fury.io/py/omega-coding
    :alt: Pypi project

.. |downloads| image:: https://pepy.tech/badge/omega-coding
    :target: https://pepy.tech/badge/omega-coding
    :alt: Pypi total project downloads 

.. |codacy|  image:: https://api.codacy.com/project/badge/Grade/8e8e363328b749378d0b9b076452c925
    :target: https://www.codacy.com/manual/LucaCappelletti94/omega_coding?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=LucaCappelletti94/omega_coding&amp;utm_campaign=Badge_Grade
    :alt: Codacy Maintainability

.. |code_climate_maintainability| image:: https://api.codeclimate.com/v1/badges/7585f1ebba643b126543/maintainability
    :target: https://codeclimate.com/github/LucaCappelletti94/omega_coding/maintainability
    :alt: Maintainability

.. |code_climate_coverage| image:: https://api.codeclimate.com/v1/badges/7585f1ebba643b126543/test_coverage
    :target: https://codeclimate.com/github/LucaCappelletti94/omega_coding/test_coverage
    :alt: Code Climate Coverate
pyseg 0.0.9
sentence seg module written in C
License: MIT
Requires Python: >=3.5

# PySeg
Chinese tokenizer implement with C, and package with python.
c 语言开发的一款开源的高性能中文分词器，使用流行的mmseg算法实现。

## Build and test
```shell script
python3 setup.py build_ext --inplace
python3 test.py
```

### Install
```shell script
python3 setup.py install
```

### TODO 
dist to pypi with wheel(can not pack data file till now).

### About
1. contact me wbq813@foxmail.com or www.codeyourlife.cn
1. The core C implement of this project [friso](https://github.com/lionsoul2014/friso).