semvec/pypi-packages huggingface dataset:
khmernormalizer 0.0.4
A missing toolkit for Khmer Natural Language Processing.
Requires Python: >=3.7

## Khmer Normalizer 

A missing toolkit for **Khmer Natural Language Processing**.

- Character Reordering
- Duplicate Whitespaces
- Remove zero width space
- Remove emojis
- Fix Common misspellings
- Fix Unicode issues
- Fix Khmer trailing vowels
- URL Replacements
- Unicode Normalization (NFKC)
- Quotes symbols normalization
- Remove repeated punctuations

### Installation

```shell
pip install khmernormalizer
```

### Usage

```python
from khmernormalizer import normalize

input_str = """
តាម៖៖​សេចក្តី​រាយ​ការណ៍​​ឲ្យ​ដឹង​ថា!!!!!
https://google.com/a?x=1
កាល 😂 ពីវេលាម៉ោង    ៗ      ប្រមាណ១១យប់ថ្ងៃទី៤ 😂😂😂😂😂 ??
កាាាាត់
មិិិិិន 
មួយរយះះះះះះះ
រយះពេល
""".strip()

normalize(input_str, 
          emoji_replacement="", 
          remove_zwsp=True, 
          url_replacement="")
```

Result:
```
តាម៖សេចក្តីរាយការណ៍ឱ្យដឹងថា!

កាល ពីវេលាម៉ោងៗ ប្រមាណ១១យប់ថ្ងៃទី៤?
កាត់
មិន 
មួយរយៈ
រយៈពេល
```
pyafmreader 0.1.2
A python package to read Nanoscope and JPK AFM files.
Requires Python: >=3.6

# Pyafmreader V.0.1.2

In development, not fully stable.
If you find any issues please open an issue at:
https://github.com/jlopezalo/PyFMReader/issues

If you have any questions, contact:
jla.lopez.18@gmail.com

## Installation
```
pip install pyafmreader
```

## Usage
```
from pyafmreader import loadfile

NANOSC_FV_PATH = 'tests/testfiles/20200903_Egel2.0_00023.spm'

NANOSC_FV_FILE = loadfile(NANOSC_FV_PATH)

metadata = NANOSC_FV_FILE.filemetadata

piezoimg = NANOSC_FV_FILE.getpiezoimg()

FC = NANOSC_FV_FILE.getcurve(0)

FC_segments = FC.get_segments()

segment_0 = FC_segments[0]
```
MIT License

Copyright (c) 2023 Javier Lopez Alonso

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
ksos 4.12.1
KSOS
Requires Python: <3.11,>=3.7.0

# KSOS

The Kelvin Sustainable Operations Software (KSOS) package provides tools that enable users to interact with the KSOS Platform through the command line interface.  KSOS is the AI software platform for building and managing control applications.  Control applications combine insights, events and actions into powerful automation workflows.   KSOS provides tools and interfaces to ease the effort of data science, app development, testing, validation, management, and finally orchestration and deployment.

For additional information, visit https://docs.kelvininc.com or contact support@kelvininc.com.

## License

See [License](https://www.kelvininc.com/license-sdk) for more information.
matchmock 2.1.1
Hamcrest matchers for mock objects.

# matchmock

[![PyPI Version][pypi-image]](https://pypi.python.org/pypi?name=matchmock&:action=display)
[![Build Status][travis-image]](https://travis-ci.org/keis/matchmock)
[![Coverage Status][coveralls-image]](https://coveralls.io/r/keis/matchmock?branch=master)

[Hamcrest][hamcrest] matchers for [mock][mock] objects.

Starting from version 2.0.0 **python2 is no longer supported** the 1.x series
will remain supported but no new features will be added.

## Example

```
    f = Mock()
    f.method('foo', 'bar')

    assert_that(f.method, called_once_with(anything(), 'bar')
```

## Matchers

* `called` - match mock that was called one or more times
* `not_called` - match mock that was never called
* `called_once` - match mock that was called once regardless of arguments
* `called_with` - match mock has at least one call with the specified arguments
* `called_once_with` - match mock that was called once and with the specified arguments
* `called_n_times` - match mock that was called number of times.

[hamcrest]: http://hamcrest.org/
[mock]: https://docs.python.org/3/library/unittest.mock.html
[pypi-image]: https://img.shields.io/pypi/v/matchmock.svg?style=flat
[travis-image]: https://img.shields.io/travis/keis/matchmock.svg?style=flat
[coveralls-image]: https://img.shields.io/coveralls/keis/matchmock.svg?style=flat