semvec/pypi-packages huggingface dataset:
mssi 0.1.9
Multiscale gene-gene correlation for spatial transcriptomics data
License: MIT
Requires Python: >=3.9,<4.0

Multiscale Spectral Similarity Index
======================

An MS-SSIM inspired metric for assessing imputation accuracy in spatial transcriptomics data. MSSI works by iterativly pooling the graph representing the spatial data and relies on the graph-coarsening package (https://github.com/loukasa/graph-coarsening) which can be installed through the commands:

    git clone git@github.com:loukasa/graph-coarsening.git
    cd graph-coarsening
    pip install .
    
And then mssi can be installed via pip:

    pip install mssi
FSRray 1.1.1
Python library to communicate with the FSR array
License: MIT

# pyHman
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

This is a Python library for controlling and communicating with the FSRray device. This library provides high-level interfaces to handling data from an FSR (Force-Sensitive Resistor) array via serial port.

## Installation

This package uses setuptools for distribution. You can install it via pip:
```bash
pip install pyFSRray
```

or directly from the source code:

```bash
git clone https://github.com/Aightech/pyFSRray.git
cd pyFSRray
python setup.py install
```

### Requirements

- Python 3.6+
- **socket** (from the Python Standard Library)
- **logging** (from the Python Standard Library)


## Usage

```python
import time
from FSRray import FSRray

def callback(values, dt):
    print("dt = {}".format(dt))
    print("values = {}".format(values))

fsrray = FSRray()
fsrray.set_callback(callback)
fsrray.connect()
time.sleep(10)
fsrray.disconnect()
```

## Features and Functions

- `FSRray(width=16, verbose=False)`: This is the constructor for the FSRray class.
- `set_callback(callback)`: Sets the callback function which is invoked with the latest data from the FSR array.
- `connect(path="/dev/ttyACM0", baud=500000, timeout=3)`: Connects to the FSR array via the serial port.
- `disconnect()`: Disconnects from the FSR array.

## Contributions

Feel free to submit a pull request if you want to contribute to this project.

## License

This library is distributed under the MIT License. Please see the LICENSE file for more information.

## Support

If you have any questions or run into any problems, please open an issue in the GitHub repository.

## Disclaimer

Use this software at your own risk. The authors are not responsible for any damage that may be caused directly or indirectly through the use of this software.
perigene 0.3.1
Polygenenic Enrichment for Risk Gene prioritization: a CLI tool and package to prioritize risk genes from GWAS summary statistics and gene features
License: MIT
Requires Python: >=3.10,<4.0

==================================================================
Polygenic Enrichments for Risk Gene Prioritization PERiGene
==================================================================


.. .. image:: https://img.shields.io/github/release/Theodps/PERiGene.svg?style=flat-square
..         :target: https://github.com/Theodps/PERiGene/releases/latest
..         :alt: Github release

.. .. image:: https://img.shields.io/pypi/v/perigene.svg
..         :target: https://pypi.python.org/pypi/perigene
..         :alt: PyPi release

.. image:: https://github.com/TheoDps/PERiGene/actions/workflows/quality.yml/badge.svg
        :target: https://github.com/TheoDps/PERiGene/actions?workflow=quality
        :alt: Quality

.. image:: https://github.com/TheoDps/PERiGene/actions/workflows/tests.yml/badge.svg
        :target: https://github.com/TheoDps/PERiGene/actions?workflow=tests
        :alt: Tests

.. .. image:: https://readthedocs.org/projects/perigene/badge/?version=latest
..         :target: https://perigene.readthedocs.io/en/latest/?version=latest
..         :alt: Documentation Status

.. image:: https://codecov.io/github/TheoDps/PERiGene/branch/master/graph/badge.svg?token=GR99R43LLR
        :target: https://codecov.io/github/TheoDps/PERiGene
        :alt: Codecov

.. image:: https://img.shields.io/github/license/TheoDps/PERiGene
        :target: https://github.com/TheoDps/PERiGene/blob/master/LICENSE
        :alt: License


Package and CLI tool to prepare data, train models and prioritize genes using polygenic enrichments.

* Free software: MIT license

=======
Credits
=======


Contributors
------------

* Theo Dupuis <me@theodupuis.io>
uast 0.0.0
Uast, user abstract syntax tree, is a
License: MIT
Requires Python: >=3.9
Keywords: structure,testing,schema,syntax

# Uast

Uast, User friendly Abstract Syntax Tree, is a wrapper of the python module AST. It provides an user friendly
interface to work with abstract syntax tree.

# Quickstart

To install Sequentium, use the following command:
```shell
pip install sequentium
```
Suppose that you want really to know what is contained in the script: `example/example_1.py`, but you don't want to
open it because it is too big and so complicated. You can just print a schema of its structure to have an ideas what is
going on:

````python
import uast

parsed_script = uast.parse(source='example/example_1.py')
print(parsed_script.schema())
````

# Quick start

Uast permits to past entire scripts or just Python syntax

## Parse a script

## Parse a Python Snippet

Suppose we have the following python snippet of code
```python
example = """
class User:

    def __init__(self, username: str, password: str):
        username = self.username
        password = self.password

    def check_password(self) -> bool:
        self.password == 'foo'
"""
```
We can parse it using the following
```python
import uast

parsed_code = uast.parse(example)
```

# Command line interface