semvec/pypi-packages huggingface dataset:
base64c 0.0.8
Fast Base64 encoding/decoding with SSE2 and VSX optimizations
Requires Python: >=3.8

# Base64C

A faster base64 encoding/decoding library for Python, implemented in C with SSSE3 and VSX optimizations.

## Installation

```bash
pip install base64c
```

## Usage

```python

from base64c import b64encode, b64decode

print(b64encode(b"Hello, World!"))
print(b64decode(b64encode(b"Hello, World!")))
```

## License

MIT

## Performance

* 3-24x faster than the stdlib `base64` module.
* Performance increases with input size.
* Tested across different types and sizes of inputs.

<br>

![Table](assets/table.png)
![Chart](assets/chart.png)
django-sys-indicator 2.2.0
A system/environment indicator for django.
Requires Python: >=3.8
Keywords: Django

django-sys-indicator
====================

.. image:: https://results.pre-commit.ci/badge/github/marksweb/django-sys-indicator/main.svg
   :target: https://results.pre-commit.ci/latest/github/marksweb/django-sys-indicator/main
   :alt: pre-commit.ci status

.. image:: https://img.shields.io/github/license/marksweb/django-sys-indicator
   :target: https://github.com/marksweb/django-sys-indicator/blob/main/LICENSE

.. image:: https://img.shields.io/github/issues/marksweb/django-sys-indicator
   :target: https://github.com/marksweb/django-sys-indicator/issues


A visual indicator of what environment/system you're using in django.

.. image:: https://django-sys-indicator.s3.eu-west-2.amazonaws.com/screenshots/django-sys-indicator.jpg
   :alt: system indicator examples


To install:

* Add ``"django_sys_indicator.apps.DjangoSysIndicatorConfig"`` to your ``INSTALLED_APPS``

* Add ``"django_sys_indicator.middleware.SystemIndicatorMiddleware"`` to your ``MIDDLEWARE``


Configuration settings and their defaults

.. code-block::

  SYSTEM_INDICATOR_ENABLED = False
  SYSTEM_INDICATOR_LABEL = "localhost"
  SYSTEM_INDICATOR_COLORS = {
      # Format here is colour, border colour
      "red": ("#c50000", "#daa"),
      "blue": ("#006fc4", "#aad"),
      "green": ("#009e00", "#ada"),
      "purple": ("#800080", "#dad"),
      "orange": ("#ff7700", "#ffb57d"),
  }

  SYSTEM_INDICATOR_COLOR = "red"

  SYSTEM_INDICATOR_EXCLUSIONS = []


To exclude paths, include regex in ``SYSTEM_INDICATOR_EXCLUSIONS``

.. code-block::

   import re

   SYSTEM_INDICATOR_EXCLUSIONS = [
       re.compile("^/[^/]+/admin/.\*$"),
   ]

Example of a localhost indicator in admin;

.. image:: https://django-sys-indicator.s3.eu-west-2.amazonaws.com/screenshots/indicator-admin-header.png
   :alt: system indicator admin example
toj 1.0
把多个数据源，转换为JSON。通过自定义合并规则，对多个JSON源进行合并，最后定义写入规则可以写到excel，目前应用在一些对账场景
Requires Python: >=3.6

一、里程碑

v1.0
- 可以把多个数据源组织成二维表，然后转换为json格式
- 把多个数据源合并，可以定义表达式，合并的时候新增KEY
- 把合并好的数据写入到excel
- 合并时的表达式目前只支持 +-*/% 运算符，并且只支持整数和小数
kraken-db-builder 0.1.3
CLI tool to build any kraken2 database with single command
Requires Python: >=3.8

Installation
============

```bash
pip install kraken-db-builder
```

Usage
=====

```bash
kdb --help

kraken-db-builder --help
```

To create standard Kraken2 database

```bash
kdb --db-type standard
```

Before creating a standard database, you can try a smaller database like fungi.

```bash
kdb --db-type fungi
```

To use locally downloaded files, run the following command

```bash
kdb --db-name k2_test --genomes-dir /path/to/genomes --taxonomy-dir /path/to/taxonomy
```

To limit the number of genomes in the database, use the `--limit` option

```bash
kdb --db-name k2_test_100 --genomes-dir /path/to/genomes --limit 1000
```


Why kdb(kraken-db-builder)?
============================

kdb was aimed to created to provide a simple and easy to use tool to build wide variety of databases with a single command.

Why not kraken2-build?

kraken2-build is a tool provided by Kraken2 to build Kraken2 database. It is a great tool but it is limited to build only Kraken2 database. kdb is a more generic tool which can be used to build databases for Kraken2, Centrifuge, Bracken, etc.


Documentation
=============

- [Kraken2 Database Builder](https://avilpage.com/kdb.html)
- [Mastering Kraken2](https://avilpage.com/tags/kraken2.html)
TruePigLatin 0.0.2
TruePigLatin ——可能是史上运行速度最快、最准（doge）的Pig Latin翻译器
Requires Python: >=3.6

﻿# English introduction
TruePigLatin —— possibly the fastest and most accurate (doge) Pig Latin translator, making it easy for you to translate!

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

# 中文介绍
TruePigLatin ——可能是史上运行速度最快、最准（doge）的Pig Latin翻译器，让你轻松翻译！

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

# 用法
> `import truepiglatin [as tpl]`
> 
> `pl = tpl[truepiglatin].translate("这是个示例。This is a EXAMPLE.")`
> 
> `print(pl)`
> 
> 则显示”这是个示例。Isthay isyay a EXAMPLEYAY.“
> 
> P.S.:可输入dash=关键字，指定Pig Latin式样（Isthay isyay a EXAMPLEYAY.风格或Is-thay is-yay a EXAMPLE-YAY.风格）。

- - - - - - - - - - - - - - - - - - - - - - - - - - - -
# bug反馈
### 如您在使用中发现任何问题，请访问作者[GitHub](https://github.com/CHUA-X/TruePigLatin/issues "作者的GitHub")留言反馈，谢谢！
universal-common-configuration 1.1.2
A configuration management library inspired by Microsoft.Extensions.Configuration.
Requires Python: >=3.8

# universal-common-configuration

A Python library inspired by Microsoft.Extensions.Configuration, providing a flexible configuration system for applications. This library allows you to load configuration data from various sources such as JSON files, environment variables, and user secrets.

## Features

- Load configuration from multiple sources
- Support for JSON configuration files
- Hierarchical configuration structure
- Optional file loading
- Extensible design for adding new configuration sources

## Installation

Install the package from PyPi using pip:

```bash
pip install universal-common-configuration
```

## Usage

### Basic Usage

```python
from universal_common_configuration import ConfigurationBuilder, IConfiguration

# Create a configuration builder
builder = ConfigurationBuilder()

# Add a JSON file to the configuration
builder.add_json_file("config.json")

# Build the configuration
configuration: IConfiguration = builder.build()

# Access configuration values
database_name = configuration["Database:Name"] # or configuration.get_section("Database")["Name"]
port = int(configuration["Server:Port"])
connection_string = configuration.get_connection_string("StorageService") # short for configuration.get_section("ConnectionStrings")["StorageService"]
```

### Working with Optional Files

```python
# Add an optional JSON file
builder.add_json_file("optional_config.json", optional=True)
```

### Combining Multiple Sources
Matched keys in later sources override the same key on earlier sources.

```python
builder.add_json_file("appsettings.json")
      .add_json_file(f"appsettings.{environment}.json", optional=True)
      .add_environment_variables()
      .add_user_secrets()

configuration = builder.build()
```

The various methods extending IConfiguration are monkey patched with the relevant import (eg. import universal_common_configuration.json for add_json_file or add_json_string).
ruan-image-processing 0.0.1
Image Processing Package using Skimage
Requires Python: >=3.5

# image_processing

Description. 
The package image_processing is used to:
	Processing
		- Histogram match 
		- Structural similarity
		- Resize image
	Utils
		- Read image
		- Save image
		- Plot image 
		- Plot Result 
		- Plot histogram


## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install image_processing
```


## Author
Ruan Spinelli

## License
[MIT](https://choosealicense.com/licenses/mit/)
aiida-inq 0.1.0
The official AiiDA plugin for INQ.
Requires Python: >=3.10
Keywords: aiida, workflows, inq

# aiida-inq
AiiDA plugin for the LLNL developed INQ code.

A basic understanding of how to interact with [AiiDA](https://aiida.readthedocs.io/projects/aiida-core/en/stable/) is required. Simple examples have been provided and can be found in the examples folder.

## Basic installation

```bash
git clone https://github.com/LLNL/aiida-inq.git
cd aiida-inq
pip install -e .
```

Future work: Register the package with pypi for simple `pip` installation.

## Release information
``LLNL-CODE-2000432``

AiiDA-INQ is provided under a standard MIT license.
agv-fact 1.0.3.11
Libreria para generar xml y realizar el timbrado
Requires Python: >=3.6

# README #

### Cambios en esta versión ###

* Version 1.0.1.0
* Se agrega la versión 4.0 de facturación
* Se modifica el data que recibe la libreria para el timbrado
* Nueva información en el data para poder timbrar

* [Link](https://google.com)
datafactoryfc 1.0.7
Scrape football data from DataFactory
Requires Python: >=3.6

# DataFactory scraper

Library for scraping football data from [DataFactory](https://www.datafactory.la/) matches and other websites that this company provides.

## Installation

To install this library, use:

```bash
pip install datafactoryfc
```

To upgrade the library, use:

```bash
pip install --upgrade datafactoryfc
```

## About

The library has a main function, which is used to retrieve the data of a match, and several other functions to process that information and return specific events.

```python
import datafactoryfc as dfc

data = dfc.get_data('copalpf', 2643544)
```

This function retrieves the match information in JSON format. We can then process that data with the help of other functions:

```python
dfc.get_passes(data)
dfc.get_shots(data)
dfc.get_corners(data)
```

Alternatively, we can provide the league name and match ID directly to these functions in a list format. Always put the league name first and the match ID second:

```python
dfc.get_passes(['copalpf', 2643544])
dfc.get_fouls(['copalpf', 2643544])
dfc.get_throwins(['copalpf', 2643544])
```