semvec/pypi-packages huggingface dataset:
hatch-bazel-and-pybind11 0.0.5
Testing the integration of hatch, bazel and pybind11
Requires Python: >=3.9

# Hatch, bazel and pybind11

[![PyPI - Version](https://img.shields.io/pypi/v/hatch-bazel-and-pybind11.svg)](https://pypi.org/project/hatch-bazel-and-pybind11)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/hatch-bazel-and-pybind11.svg)](https://pypi.org/project/hatch-bazel-and-pybind11)
[![test](https://github.com/eguiraud/hatch-bazel-and-pybind11/actions/workflows/test.yml/badge.svg)](https://github.com/eguiraud/hatch-bazel-and-pybind11/actions/workflows/test.yml)

-----

This example project shows how to integrate hatch, bazel and pybind11, or in other words
how to build a C++ Python extension module based pybind11 via bazel and make it part of
a python package managed by hatch.

This is done very much in the spirit of [Cunningham's Law](https://meta.wikimedia.org/wiki/Cunningham%27s_Law):

> the best way to get the right answer on the internet is not to ask a question; it's to post the wrong answer

## Playing with this code

`hatch build` always runs bazel and therefore always refreshes the
extension module as needed, but `hatch test` or `hatch shell` do not
know they have to run bazel, so `hatch build && hatch test` or similar
is the robust way to rebuild the native code as needed, at least for now:
without an explicit `hatch build`, `hatch test/shell` risk running with
stale versions of the extension module.

## Installation

```console
pip install hatch-bazel-and-pybind11
```

## License

`hatch-bazel-and-pybind11` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
Pandis 1.0.2
A Redis-like interface using pandas as the data store.

# Pandis

Pandis is a Python package that emulates Redis functionalities using pandas as the underlying data store.

## Features

- **Strings**: Simple key-value pairs.
- **Hashes**: Key-value pairs where the value is a hash (dictionary-like).
- **Lists**: Ordered collections.
- **Sets**: Unordered collections of unique elements.
- **Sorted Sets**: Sets ordered by a score.

## Installation

```bash
pip install pandis
```

## Usage
```python
from pandis import PandisClient

client = PandisClient()

# Strings
client.set('key1', 'value1')
print(client.get('key1'))  # Output: value1

# Hashes
client.hset('hash1', 'field1', 'value1')
print(client.hget('hash1', 'field1'))  # Output: value1

# Lists
client.lpush('list1', 'a', 'b', 'c')
print(client.lpop('list1'))  # Output: c

# Sets
client.sadd('set1', 'a', 'b', 'c')
print(client.smembers('set1'))  # Output: ['a', 'b', 'c']

# Sorted Sets
client.zadd('zset1', {'a': 3, 'b': 1, 'c': 2})
print(client.zrange('zset1', 0, -1))  # Output: ['b', 'c', 'a']
```

## Testing
```bash
python -m unittest discover tests
```
pharus 0.8.12
A generic REST API server backend for DataJoint pipelines.

User Documentation
==================

``pharus`` is a generic REST API server backend for `DataJoint <https://datajoint.io>`_ pipelines built on top of ``flask``, ``datajoint``, and ``pyjwt``.

- `Documentation <https://datajoint.github.io/pharus>`_
- `PyPi Package <https://pypi.org/project/pharus/>`_
- `Docker Image <https://hub.docker.com/r/datajoint/pharus>`_
- `Release <https://github.com/datajoint/pharus/releases/latest>`_
- `Source <https://github.com/datajoint/pharus>`_

Installation
------------

If you have not done so already, please install the following dependencies.

- `Docker <https://docs.docker.com/get-docker/>`_
- `Docker Compose <https://docs.docker.com/compose/install/>`_

Prerequisites
-------------

Download the ``docker-compose-deploy.yaml`` docker environment from the source located `here <https://github.com/datajoint/pharus/releases/latest/download/docker-compose-deploy.yaml>`_.

Running the API server
----------------------

To start the API server, use the command:

    .. code-block:: bash

        PHARUS_VERSION=0.7.3 docker-compose -f docker-compose-deploy.yaml up -d

To stop the API server, use the command:

    .. code-block:: bash

        PHARUS_VERSION=0.7.3 docker-compose -f docker-compose-deploy.yaml down

References
----------

- DataJoint

  - https://datajoint.io

- DataJoint LabBook (a companion frontend)
  
  - https://github.com/datajoint/datajoint-labbook
Component-resuse 0.3
Component_resuse

# Component Reuse Package

`Component_Reuse_package` is a simple Python package that provides an adapter for connecting to RabbitMQ and sending messages using the `pika` library. This package is designed for easy integration into your Python projects.

## Features

- **Connect to RabbitMQ**: Easily connect to a RabbitMQ server using credentials.
- **Queue Declaration**: Declare a queue on connection.
- **Send Messages**: Send messages to a specified queue.
- **Close Connection**: Safely close the connection to RabbitMQ.

## Installation

You can install the package using `pip`:

```bash
pip install component_reuse

## How to set up instructions:

Clone the repo : git clone git@bitbucket.org:liferaftinc/liferaft-python-lib.git

Install the package: component_reuse

If you are making any changes , build the package : https://liferaftinc.atlassian.net/wiki/spaces/LIF/pages/2426339341/TID+How+do+we+pipify+components#Build-the-package and publish it with a new version
Analisador-Texto-pt-br-e-ingles 0.0.1
Analisador de texto em português e inglês usando spaCy.
Requires Python: >=3.8

# analisador_texto_pt_br_e_eng

Description. 
The package analisador_texto_pt_br_e_eng is used to:
	-Analisa os textos em portuguÃªs ou em inglÃªs, identificando palavras mais comuns, removendo stopwords e realizando outras anÃ¡lises de texto.
	-Usa a biblioteca spaCy para processamento de linguagem natural em ambas as lÃ­nguas.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install analisador_texto_pt_br_e_eng
```

## Usage

```python
from analisador_texto_pt_br_e_eng.analisador_texto_pt_br import pt_br
pt_br.analisar_texto("Seu texto em portuguÃªs aqui.")
```

```
from analisador_texto_pt_br_e_eng.analisador_texto_eng import eng
eng.analyze_text("Your English text here.")
```
## Author
Alexsandro

## License
[MIT](https://choosealicense.com/licenses/mit/)
ppcli 0.0.2
Dynamic CLI tool to manage project-specific commands using pyproject.toml configuration
Requires Python: >=3.8
Keywords: automation, cli, command-line, configuration, dev-tools, developer-tools, project-management, pyproject, scripting, task-runner, tooling, utility

# ppcli

[![PyPI - Version](https://img.shields.io/pypi/v/ppcli.svg)](https://pypi.org/project/ppcli)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/ppcli.svg)](https://pypi.org/project/ppcli)

-----
`ppcli` stands for **pyproject CLI**. It is a Python package designed to provide an easy way to specify and manage auxiliary commands within a `pyproject.toml` file for any Python project.

## Purpose

The primary purpose of `ppcli` is to allow developers to define and manage common project tasks, such as test, lint, and migration commands, directly within the `pyproject.toml` file. This ensures that all project-specific commands are centralized and easily accessible.

## Installation

You can install `ppcli` via pip:

```console
pip install ppcli
```

## Usage
After installing ppcli, you can define your project-specific commands within your pyproject.toml file under the `[tool.ppcli]` section.

### Example pyproject.toml Configuration
```toml
[tool.ppcli]
lint="black --check --diff ."
fmt="black ."
clean = [
    "find . -type d -name __pycache__ -empty -print0 | xargs --null --no-run-if-empty rmdir",
    "coverage erase",
]
test = [
    "clean",
    "pytest --cov --blockage -x -s --no-header -ra",
]
```
### Defining and Combining Commands
* **Single Command**: Each key under [tool.ppcli] represents a command that can be executed. The value can be a single command string or a list of commands.
* **Combined Commands**: Use the keys of other commands to create combined tasks. In the example above, the test command executes the clean command followed by pytest.

### Running Commands

To execute the defined commands, simply run the ppcli tool followed by the command name:

```console
ppcli <command>
```
For example:

```console
ppcli lint
ppcli fmt
ppcli test
```

## Contributing

Contributions are welcome! Please open an issue or a pull request to contribute.

## License
This project is licensed under the [MIT](https://spdx.org/licenses/MIT.html) License. See the [LICENSE](/LICENSE) file for more details.
antbase 0.1a13
Antbase package
Requires Python: >=3.11

# ПАКЕТ antbase

### Сборка

1. Встаем в голову проекта

   ```
   cd ~/Projects/antbase
   ```
2. В файлк setup.py меняем номер версии
3. В файле MANIFEST.in указываем, что грузим, а что нет

   ```
   pip install setuptools wheel		# установить пакеты, если их нет
   pip install twine

   prm -rf dist/				# очистит папку с дистрибутивом
   python setup.py sdist bdist_wheel	# сформировать дистрибутив
   twine check dist/*			# проверить дистрибутив
   twine upload dist/*			# закачка на pypi

   ```
4. Эта команда создаст два файла в папке `dist/`:

   * `antbase-0.1a4.tar.gz` (исходный код)
   * `antbase-0.1a4-py3-none-any.whl` (wheel-файл)
5. После внесения изменений обновить пакет можно командами

   ```
   python setup.py sdist bdist_wheel
   twine upload dist/*
   ```

### Установка

```
pip install antbase --upgrade

```

### Удаление

```
pip uninstall antbase
```

### Тестирование

1. Тестовые скрипты запускаются из фолдера с тестами

### Песочница

1. Структура Пеосчницы аналогичка структуре Тестов. Запускается всё также как и тесты.

## МОДУЛИ

### Модуль base

#### auth

#### bc

#### db

#### drive

#### dt

#### gas

#### im

#### kp

#### log

#### she

#### tg

### Модуль bot

#### actor

#### goal

#### job

#### order

#### part

#### target

#### task

### Модуль сhain

#### cahin

#### frame

#### key

#### meta

#### metadata

#### r

#### sdo

#### sko

### Модуль cli

#### main

### Модуль type

#### comand

#### entity

#### executiion

#### finance

#### item

#### lot

#### order

### Модуль sand

#### bc

#### db

#### drive

#### dt

#### gas

#### im

#### kp

#### log

#### she

#### tg

### Модуль test

#### bc

#### db

#### drive

#### dt

#### gas

#### im

#### kp

#### log

#### she

#### tg

## ШРИФТЫ

## ИЗОБРАЖЕНИЯ