semvec/pypi-packages huggingface dataset:
docbrutils 0.1.0
Validação e geração de CPF e CNPJ
Requires Python: >=3.7


# docbrutils

Pacote Python para validaÃ§Ã£o e geraÃ§Ã£o de CPF e CNPJ vÃ¡lidos.

## InstalaÃ§Ã£o

```bash
pip install docbrutils
```

## Uso

```python
from docbrutils import cpf, cnpj

cpf.validate_cpf('123.456.789-09')
cpf.generate_cpf()

cnpj.validate_cnpj('12.345.678/0001-95')
cnpj.generate_cnpj()
```

## Testes

```bash
python -m unittest discover
```
fastfp 0.1.0
JAX implementation of pulsar timing Fp-statistic
Requires Python: >=3.9

# fastfp
Pulsar timing array Fp-statistic, now with JAX. It's pretty fast.

## Installation
For quick and painless installation, run the command below (Note: Since `enterprise`, and therefore `libstempo` is a dependency, this installation command may fail if you attempt to install to an environment that doesn't already have `libstempo` in it. Or maybe it'll be fine... who really knows these days).
```
pip install git+https://github.com/gabefreedman/fastfp.git
```
If you want to install with support for GPUs, install using the `gpu` option:
```
pip install "fastfp[gpu] @ git+https://github.com/gabefreedman/fastfp.git"
```

## Usage
See examples folder for a Jupyter notebook and plain Python scripts detailing basic use of both the single and noise-marginalized Fp-statistic.

## To-do
- ~~Noise marginalization~~
- ~~Additional installation instructions for GPU usage~~
- Separate get_xCy function for EcorrKernelNoise (block-diagonal)
- Include Fe-statistic?
ai-zap 1.0.6
Библиотека для работы с ИИ и практическими заданиями
Requires Python: >=3.6

# AI-Zap

Библиотека для работы с ИИ и практическими заданиями.

## Установка

```bash
pip install ai-zap
```

## Использование

### Функция zap()

```python
from ai_zap import zap

# Простой запрос к ИИ
response = zap("Привет, как дела?")
print(response)
```

### Функция otv()

```python
from ai_zap import otv

# Получить все ответы
all_answers = otv()

# Получить ответ по номеру
answer = otv(1)

# Поиск по тексту
search_result = otv("ООП")

# Получить список вопросов
questions = otv('?')
```

### Функция zad()

```python
from ai_zap import zad

# Получить список заданий
tasks = zad()

# Создать файл с решением
result = zad(1)  # Создаст solution_1.py
```

## Требования

- Python 3.6+
- openai>=1.0.0

## Лицензия

MIT