semvec/pypi-packages huggingface dataset:
pybasilica 0.4.0
Bayesian NMF signatures deconvolution and DP clustering.
Requires Python: >=3.8

# pybasilica

**IMPORTANT:** This package is no longer maintained. Please switch to [pybascule](https://github.com/caravagnalab/pybascule) for future updates.

Detecting mutational signatures via bayesian inference and reference catalog

In this implementation, the model performs independent NMF and clustering on the mutation counts.
giftwrapy 0.3.0
A tool to convert a project/folder/repo into one long markdown file for use with AI assistants
Requires Python: >=3.9

# giftwrapy

giftwrapy (pronounced "gift-wrap-ee") is a Python tool that converts a project, folder, or repository into a single long markdown file. This is particularly useful for use with AI assistants, allowing you to easily share the structure and contents of your project.

## Features

- Generates a tree structure of your project
- Includes file contents for specified extensions
- Allows ignoring specific directories and files
- Customizable output file name
- No dependencies outside of the Python standard library

## Installation

You can install giftwrapy using pip:

```bash
pip install giftwrapy
```

## Usage

After installation, you can use giftwrapy from the command line:

```bash
giftwrapy /path/to/your/project
```

For more options:

```bash
giftwrapy --help
```

### Basic Usage Example

```python
from giftwrapy import dir_to_markdown

dir_to_markdown(
    directory=".",
    extensions=[".py", ".html", ".sql", ".css", ".md"],
    output_file="project_contents.md",
)
```

### Command Line Options

- `directory`: The path to the directory to convert.
- `--extensions`: List of file extensions to include (default: [".py", ".html", ".sql", ".css", ".md"]).
- `--ignore-dirs`: List of directory names or patterns to ignore.
- `--ignore-files`: List of file names or patterns to ignore.
- `--use-default-ignore-pats`: Whether to use the default ignore patterns (default: True).
- `--output`: Name of the output markdown file (default: "project_contents.md").

## Default Ignore Patterns

giftwrapy uses default ignore patterns for both the tree structure and file contents. These include common directories and files like `__pycache__`, `.git`, `.vscode`, and others. You can add to these patterns using the `--ignore-dirs` and `--ignore-files` options.

## Using with AI Assistants

giftwrapy is designed to make it easy to share your project structure and contents with AI assistants. Here's an example of how the output can be used:

![Example usage with an AI assistant](usage.png)

This screenshot demonstrates how the markdown file generated by giftwrapy can be used in a conversation with an AI assistant, allowing for more context-aware and project-specific interactions.

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is licensed under the MIT License - see the LICENSE file for details.
bits 0.2.0
bits is a cli tool and pure Python library for Bitcoin
Requires Python: >=3.7

# bits

`bits` is a cli tool and pure Python library for Bitcoin

## Dependencies

- Python 3.7+

## Installation

```bash
git clone https://github.com/jtraub91/bits.git
cd bits/
pip install .
```

### Install for development

```bash
pip install -e .[dev]
pre-commit install
```

## Usage

See the following for command line usage

```bash
bits -h
```

## Configuration

Configuration is not strictly necessary, but, a user may leverage a configuration file, nominally located at `~/.bits/config.[toml|json]`, for overriding CLI defaults, or for non-CLI usage.

## Donate

```text
1GjPvTLYLNodnBJ969DWHcqBMP3pa5tsV3
```

## License

MIT License

Copyright (c) 2023 Jason Traub

See `LICENSE.txt` for details.
SIEMENSFile 0.1.5
Paquete para leer archivos .dat de Siemens y realizar reconstrucciones de imágenes.
Requires Python: >=3.12.4

## Uso

AquÃ­ un ejemplo bÃ¡sico de cÃ³mo usar SIEMENSFile:

```python
from siemensfile import process_siemens_file

# Procesar un archivo con reconstrucciÃ³n Cartesiana
metadata, rawdata = process_siemens_file('ruta/a/tu/archivo.dat', reconstruction="Cartesiana")

# Procesar un archivo sin reconstrucciÃ³n
metadata, rawdata = process_siemens_file('ruta/a/tu/archivo.dat')

# Trabajar con los resultados
print(metadata)
print(rawdata.shape)