semvec/pypi-packages huggingface dataset:
dfq 0.1.0
tbd
Requires Python: <4.0,>=3.9

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postman2openapi 1.0.1
Convert Postman Collections to OpenAPI (Swagger) specification
Requires Python: >=3.7
Keywords: postman, openapi, swagger, api, converter, documentation, rest, api-documentation, postman-collection, openapi-specification


# Postman2OpenAPI

A Python module to convert Postman collections to OpenAPI (Swagger) format without any third-party dependencies.

## Installation

```bash
pip install postman2openapi
```

## Usage

```python
from postman2openapi import PostmanToOpenAPIConverter, read_postman_collection, write_openapi_spec

# Read your Postman collection
collection_data = read_postman_collection("path/to/collection.json")

# Create converter instance
converter = PostmanToOpenAPIConverter()

# Convert to OpenAPI
openapi_spec = converter.parse_postman_collection(collection_data)

# Save as YAML (default) or JSON
write_openapi_spec(openapi_spec, "openapi_spec.yaml")  # For YAML
write_openapi_spec(openapi_spec, "openapi_spec.json", format="json")  # For JSON
```

## Features

- Converts Postman collections to OpenAPI 3.0.0 specification
- Supports:
  - Basic request information (URL, method, description)
  - Query parameters
  - Request bodies (JSON and form-data)
  - Path parameters
  - Folder structure
- No third-party dependencies except PyYAML
- Outputs in both YAML and JSON formats

## Development

To set up the development environment:

```bash
# Clone the repository
git clone https://github.com/Pulkit-Py/postman2openapi.git
cd postman2openapi

# Create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest
```

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.


## Author

Created by [Pulkit-Py](https://github.com/Pulkit-Py)

### Connect with Me

- 🌐 Website: [Py Digital Solution](https://www.pydigitalsolution.me/)
- 💼 LinkedIn: [Pulkit-Py](https://www.linkedin.com/in/pulkit-py/)
- 📸 Instagram: [@pulkit.py](https://www.instagram.com/pulkit_py/)
- 🐙 GitHub: [@Pulkit-Py](https://github.com/Pulkit-Py)

## Package Information

- **Version**: 1.0.0
- **Last Updated**: 2025-05-04
- **Created**: 2025-05-04
- **PyPI**: [postman2openapi](https://pypi.org/project/postman2openapi/)

## Support

If you found this project helpful, consider:
- Giving it a ⭐ on GitHub
- Following me on social media
- Sharing it with others who might find it useful

---
<p align="center">Made with ❤️ by <a href="https://github.com/Pulkit-Py">Pulkit-Py</a> From 🇮🇳 India</p>
dqdq 0.1.0
tbd
Requires Python: <4.0,>=3.9

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ipeaindices 0.1.0
Índices do IPEA de forma simples
Requires Python: >=3.7

# ipeaindices
Biblioteca Python para obter índices econômicos (IPCA, INCC-M e IGP-M).

O [IPEA](https://www.ipea.gov.br/portal/) (Instituto de Pesquisa Econômica Aplicada) é uma fundação pública federal vinculada ao Ministério do Planejamento e Orçamento. Suas atividades de pesquisa fornecem suporte técnico e institucional às ações governamentais para a formulação e reformulação de políticas públicas e programas de desenvolvimento brasileiros. Os trabalhos do Ipea são disponibilizados para a sociedade por meio de inúmeras e regulares publicações eletrônicas, impressas, e eventos.

## Instalação
### Usando o pip
TODO

### Manual
1. Clone este repositório ou faça download do pacote:  
```
https://github.com/nukhes/ipeaindices
cd ipeaindices
```

2. Crie e ative um ambiente virtual:  
```bash
python3 -m venv .venv  
source .venv/bin/activate      # Linux/macOS  
.venv\Scripts\activate.bat     # Windows
```

3. Instale o pacote em modo “editable”:  
```bash
pip install -e .
```

## Uso
```python
from igpmcalc.indices import get_ipca, get_incc, get_igpm

# Últimos valores disponíveis  
ipca_valor = get_ipca()  
incc_valor = get_incc()  
igpm_valor = get_igpm()

# Valores mensais de um ano específico  
valores_2024 = get_igpm(2024)

# Média anual de um único ano  
media_2024 = get_igpm(2024, average=True)

# Valores mensais de vários anos  
df_anos = get_igpm([2022, 2023])

# Média de vários anos  
media_2022_23 = get_igpm([2022, 2023], average=True)
```
grimoire-logger 1.0.1
A simple Python logger, that prints in a JSON format
Requires Python: >=3.6

# Grimoire Logger

Grimoire Logger is a lightweight Python logging library that outputs logs in a
structured JSON format. It is designed to make log parsing and analysis easier,
especially in distributed systems or environments where structured logging is
essential.

## Features

- **JSON-formatted logs**: Logs are output in a machine-readable JSON format.
- **Multiple log levels**: Supports `info`, `warn`, `error`, and `debug` levels.
- **Timestamped logs**: Each log entry includes a timestamp for better
  traceability.
- **Source identification**: Automatically includes the source file in the log
  output.

## Installation

You can install Grimoire Logger by cloning this repository to a local place or
by using `pip`:

```bash
pip install grimoire_logger
```

## Usage

Here’s a quick example of how to use Grimoire Logger:

```python
from grimoire_logger import Logger

logger = Logger()

logger.info("This is an info message.")
logger.warn("This is a warning message.")
logger.error("This is an error message.")
logger.debug("This is a debug message.")
```

### Example Output

```json
{
  "timestamp": "2023-10-01 12:34:56",
  "level": "info",
  "source": "example.py",
  "message": "This is an info message."
}
```
bridgebot 0.0.3
bridgebot is a python package for building floating bridge bot!
Requires Python: >=3.10
Keywords: reinforcement learning, floating bridge, singaporean bridge

# bridgebot
bridgebot is a Python package for building floating bridge bot!

[Visit repository on Github](https://github.com/papillonbee/bridgebot)

## Dependencies
1. [`ray[rllib]`](https://docs.ray.io/en/latest/rllib/multi-agent-envs.html)
2. [`bridgepy`](https://github.com/papillonbee/bridgepy)
dqbolt 0.1.0
tbd
Requires Python: <4.0,>=3.9

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