semvec/pypi-packages huggingface dataset:
PyChromaKey 0.0.5
Chroma key (green screen) library for Python 3
Requires Python: >=3.6

# PyChromaKey
Chroma key (green screen) library for Python 3. Heavily based on 
[this article](https://medium.com/fnplus/blue-or-green-screen-effect-with-open-cv-chroma-keying-94d4a6ab2743) 
by Teja Kummarikuntla.

## Prerequisites
* opencv-python
* numpy
* pillow

## Usage
See [PyChromaKeyExample](https://github.com/erikm6872/PyChromaKeyExample).
log-helper-bit3 1.2.1
Es un paquete que brinda la posibilidad a las clases de almacenar los pasos que se siguen en esta.
Requires Python: >=3.8
Keywords: python,log,helper,mcubico,bitcubico technology

# Log Helper

Es un paquete que tiene como propósito facilitar la gestión de logs en
una clase que herede o extienda del mismo. El paquete brinda la posibilidad
de almacenar en una variable los logs y ponerlos a disposición de la clase
que lo hereda para que registre los pasos en estos y así la clase que 
la llama pueda registrar en su log los pasos que se siguieron en la clase
en cuestión.

## Instalación
`pip install log-helper-bit3`


## Creadores

El paquete fue desarrollado por el equipo de desarrollo de la compañía
BITCUBICO Technology para su uso interno, el desarrollador de esta 
iniciativa es Mauricio Montoya Medrano
easedate 0.0.3
A python package for easy date use and conversions.
Requires Python: >=3.6

# easedate
    
## Description
A python package for easy date use and conversions.

# Install 
    pip install easedate


# Currently Available functions

```

today()

parse(str_date)

str_to_date(str_date, input_format, output_format)

weekday(date, output_format)

add_day(date, value)

add_month(date, value)

add_year(date, value)

diff_in_days(date, base_date)

diff_in_months(date, base_date)

diff_in_years(date, base_date) 

is_after(date, base_date) 

is_before(date, base_date)

is_equal(date, base_date)

```

# Usage example 

```python

from easedate.easedate import *


result = str_to_date("22/03/2020", input_format="%d/%m/%Y")

print(result)

# 2020-03-22


result = parse("01/03/2020")

print(result)

# 2020-03-01


result = weekday("22/03/2020")

print(result)

# Sunday


result = weekday("22/03/2020", output_format="%a")

print(result)

# 0 (Sunday is indexed as 0 and Saturday is indexed as 6)


result = add_day("22/03/2020", value=1)

print(result)

# 2020-03-23


result = add_day("22/03/2020", value=-1)

print(result)

# 2020-03-21


result = add_month("22/03/2020", value=1)

print(result)

# 2020-04-23

```

## PyPi

[easedate](https://pypi.org/project/easedate)

## Author

[**2020 brworkit**](https://github.com/brworkit).

## License
[MIT License.](https://opensource.org/licenses/MIT)
yamltopy 1.0.0
A CLI tool to convert YAML file to Python module for better load performance
Requires Python: >=3.6

# yamltopy

![PyPI](https://img.shields.io/pypi/v/yamltopy?style=flat-square)
![PyPI - Downloads](https://img.shields.io/pypi/dw/yamltopy?style=flat-square)
![GitHub release (latest by date)](https://img.shields.io/github/v/release/szikszail/yamltopy?style=flat-square)

## Install

```shell
pip install yamltopy
```

## Usage

```
usage: yamltopy [-h] [-i INPUT] [-o OUTPUT] [-n NAME] [-v]

Convert YAML configuration file to a Python modulefor better performance

optional arguments:
  -h, --help            show this help message and exit
  -i INPUT, --input INPUT
                        The input Yaml file (YML or YAML)
  -o OUTPUT, --output OUTPUT
                        The output Py file
  -n NAME, --name NAME  The name of the exported variable containg the Yaml data
  -v, --verbose
```

Convert YAML file to PY:

```shell
yamltopy -i path/to/file.yaml -o path/to/output.py -n NAME_OF_VARIABLE
```

You can import the output file (if modules set up properly):

```python
from path.to.output import NAME_OF_VARIABLE

print(NAME_OF_VARIABLE)
```