semvec/pypi-packages huggingface dataset:
dummy-module 0.0.2
just a zero/dummy pypi package
Requires Python: >=3.6
Keywords: dummy,dummy pypi,dummy pypi module,dummy pypi package,dummy pypi pkg,dummy module,dummy package,dummy pkg,blank module,blank package,blank pkg,zero module,zero package,zero pkg

# dummy_module (v0.0.2)

## DESCRIPTION_SHORT
Just a zero/dummy pypi package

## DESCRIPTION_LONG
designed for test applications which handle with pypi packages (install/uninstall/check versions/upgrade).  
with this module you dont need to handle with some specific pkg!


## Features
1. It doesn't do anything!  


********************************************************************************
## License
See the [LICENSE](LICENSE) file for license rights and limitations (MIT).


## Release history
See the [HISTORY.md](HISTORY.md) file for release history.


## Installation
```commandline
pip install dummy-module
```


## Import
```python
from dummy_module import *
```


********************************************************************************
## USAGE EXAMPLES
See tests and sourcecode for other examples.

********************************************************************************
iriusrisk-apishell-v1 0.3.4
Aids calling IriusRisk v1 APIs. Starting point when creating more complex scripts that create, call and process API calls.
Requires Python: >=3.7

## API Python Module

This module is designed to aid calling the IriusRisk v1 APIs. Use it to create
scripts that create, call and process API calls.

Besides the helper methods this module provides, it also parses the command
line and searches for configuration file entries useful for making IriusRisk
API calls. Most of the command line arguments are also configuration file
entries, thereby allowing default entries that are valid for multiple script
calls.

For further information, install this module locally and run the following:

    python3 -c 'import iriusrisk.autoinit' --help

This describes in greater detail how to call the program shell. 

## Usage example
* Create the file main.py, consisting of the following:

        import iriusrisk.autoinit
        from iriusrisk.v1 import *

        (resp, json) = do_get("products")
        for i in json:
            print(i["name"])

* Call the program from the command line:

        python3 main.py --key {valid API key} --subdomain {SaaS sub-domain}

This will list out the names of all the projects in the specified IriusRisk
instance, available to the user of the API key.
pysap-mri 0.5.0
Python Sparse data Analysis Package external MRI plugin.

Chaithya G R <chaithya.giliyarradhakrishna@cea.fr>
Pierre-Antoine Comby <pierre-antoine.comby@cea.fr>
Jean-Luc Starck <jl.stark@cea.fr>
Philippe Ciuciu <philippe.ciuciu@cea.fr>

Author-email: XXX
License: CeCILL-B
Platform: OS Independent
Classifier: C
Classifier: L
Classifier: A
Classifier: S
Classifier: S
Classifier: I
Classifier: F
Classifier: I
Classifier: E
Classifier: R
Classifier: S
License-File: LICENSE
Requires-Dist: scikit-learn>=0.19.1
Requires-Dist: progressbar2>=3.34.3
Requires-Dist: joblib>=1.0.0
Requires-Dist: scipy>=1.3.0
Requires-Dist: scikit-image>=0.17.0
Requires-Dist: mri-nufft>=0.4.0
Requires-Dist: finufft>=2.2.0
Requires-Dist: modopt>=1.7.1

Python Sparse data Analysis Package external MRI plugin.
crapgpt 0.0.1
Fine-tuned LLM to predict aspects of an individual's diet given their microbiome profile
Requires Python: >=3.8

# CrapGPT

## Introduction

CrapGPT is a tool for bidirectional prediction between human [gut microbiome](https://en.wikipedia.org/wiki/Gut_microbiota) profiles and corresponding dietary patterns.

## Installation and Basic Usage

CrapGPT will be available through PyPI. Once available, we recommend installing CrapGPT into an environment (for instance, a [conda](https://docs.conda.io/en/latest/) environment using a python version of x.

Run the following commands to install crapgpt:

```
pip install crapgpt
```
Try running the command `crapgpt --help` to ensure that CrapGPT has been installed properly.

#### Available commands

CrapGPT provides three commands: `crapgpt train --input_data`, `crapgpt evaluate` and `crapgpt stats`

#### Input Files

CrapGPT takes the following filetypes as input: