semvec/pypi-packages huggingface dataset:
dimep 0.2
Measures ipsilateral MEPs
License: MIT

[![status](https://github.com/translationalneurosurgery/tool-dimep/workflows/pytest/badge.svg)](https://github.com/translationalneurosurgery/tool-dimep/actions) [![Documentation Status](https://readthedocs.org/projects/tool-dimep/badge/?version=latest)](https://tool-dimep.readthedocs.io/en/latest/?badge=latest) [![Coverage Status](https://coveralls.io/repos/github/translationalneurosurgery/tool-dimep/badge.svg?branch=develop)](https://coveralls.io/github/translationalneurosurgery/tool-dimep?branch=develop) [![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://en.wikipedia.org/wiki/MIT_License)


# Detection of Ipsilateral Motor Evoked Potentials

**DiMEP** stands for **D**etection of **i**psilateral **M**otor **E**voked **P**otentials and was developed by [Robert Guggenberger](https://www.robert-guggenberger.de) at the [Institute of Neuromodulation and Neurotechnology of the University Hospital Tübingen](https://www.medizin.uni-tuebingen.de/go/neuromodulation).


Installation
------------

Install the stabel release from PyPI with `pip install dimep` and the most recent development  tip with `pip install git+https://github.com/translationalneurosurgery/tool-dimep.git`.

Usage
-----

Access the algorithms with

``` python

   from dimep.api import <algorithm>

```
and subsequently call them, e.g. with

``` python

   from dimep.api import lewis
   lewis(trace=trace, tms_sampleidx= 500, fs = 1000)
   # where the trace is the single-channel EMG recording
   # tms_sampleidx marks the onset of the TMS pulse
   # and fs is the sampling rate.
```

Documentation
-------------

Read the documentation on [readthedocs](https://tool-dimep.readthedocs.io/en/latest/?badge=latest).
gratient 0.4
This modules allows you print gratient texts.
License: MIT
Keywords: gratient

> # GRATIENT
```
# Module made by @venaxyt on Github
import gratient

text = """
    `7MMF'   `7MF'` 7MM"'"YMM   `7MN.   `7MF'      ma       `YMM'   `MP' 
      `MA     ,V     MM    `7     MMN.    M       ;MM:        VMb.  ,P   
       VM:   ,V      MM   d       M YMb   M      ,V^MM.        `MM.M'    
        MM.  M'      MMmmMM       M  `MN. M     ,M  `MM          MMb     
        `MM A'       MM   Y  ,    M   `MM.M     AbmmmqMA       ,M'`Mb.   
         :MM;        MM     ,M    M     YMM    A'     VML     ,P   `MM.  
          VF       .JMMmmmmMMM  .JML.    YM  .AMA.   .AMMA. .MM:.  .:MMa.

 [!] Please subscribe to my Github profile @venaxyt for more modules like this one.
"""
```
```
# Print a gratient text :
gratient_text = gratient.black(text)
print(gratient_text)
```
![](https://raw.githubusercontent.com/venaxyt/gratient/main/images/black.PNG)

```
gratient_text = gratient.purple(text)
print(gratient_text)
```
![](https://raw.githubusercontent.com/venaxyt/gratient/main/images/purple.PNG)
```
gratient_text = gratient.blue(text)
print(gratient_text)
```
![](https://raw.githubusercontent.com/venaxyt/gratient/main/images/blue.PNG)
```
gratient_text = gratient.red(text)
print(gratient_text)
```
![](https://raw.githubusercontent.com/venaxyt/gratient/main/images/red.PNG)
```
gratient_text = gratient.yellow(text)
print(gratient_text)
```
![](https://raw.githubusercontent.com/venaxyt/gratient/main/images/yellow.PNG)
retrieve-chefkoch 1.0.1
Python library to retrieve information from chefkoch.de
License: MIT
Keywords: chefkoch,chefkoch_api,chefkoch_api,get_chefkoch,chefkoch_retrieval,german

# retrieve_chefkoch

Python library to retrieve data from chefkoch.de

## Installation
Use the package manager [pip](https://pypi.org/) to install [retrieve_chefkoch](https://pypi.org/project/retrieve_chefkoch/)
```
pip install retrieve_chefkoch
```

## Examples:

#### Retrieving daily recommendations
```python
from retrieve_chefkoch import chefkoch

recipes = chefkoch.get_daily_recommendations(category="backe")

for recipe in recipes:
    print("\n" + str(recipe))
```

#### Retrieving a random recipe
```python
from retrieve_chefkoch import chefkoch

recipe = chefkoch.get_random_recipe()
print(recipe.modify_portions(portions=6))

for step in recipe.steps:
    print("Next -> " + step)
```

#### Searching for a specific recipe with filter
```python
from retrieve_chefkoch import chefkoch

print(chefkoch.get_specifications())
recipes = chefkoch.search(search_term="Lasagne",
                          filters={"page": 2, "sort": "rating", "duration": 30,
                                            "difficulty": {"easy": True, "medium": True, "hard": False}},
                          specifications=["vegetarisch", "gemuese"])
print(recipes)
```

## Recipe interactions

|name               |type      |description                                                                         |
|-------------------|----------|------------------------------------------------------------------------------------|
|get_next_step      |method    |returns the next step of the recipe. Throws EndOfRecipeError when the end is reached|
|modify_portions    |method    |modifies the portions and returns the new dict for ingredients                      |
|info_dict          |attribute |contains all information retrived directly from javascript from the chefkoch page   |
|ingredients        |attribute |dictionary with ingredients as key and the amount as values. Everything is a string |
|steps              |attribute |list with all steps. Simply the instruction text split by '.'                       |
|image              |attribute |hyper-link to the main image                                                        |
|...                |attributes|more attributes available that are self-explainatory                                |

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
gitfun 0.0.9.2
Make Git simplified for lazy developers
License: MIT
Requires Python: >=3.7

<!-- Add banner here -->

# GitFun
A Simplified Automated CLI tool for GIT, It's for Lazy Developers and  Newbies 😜
# Table of contents

<!-- After you have introduced your project, it is a good idea to add a **Table of contents** or **TOC** as **cool** people say it. This would make it easier for people to navigate through your README and find exactly what they are looking for.

Here is a sample TOC(*wow! such cool!*) that is actually the TOC for this README. -->

- [GitFun](#GitFun)
- [Installation](#Installation)
- [Usage](#Usage)
- [Development](#Development)
- [Contribute](#Contribute)
    - [Sponsor](#Sponsor)
    - [Adding new features or fixing bugs](#)
- [License](#License)


# Installation
It's  simple step to install

Pre-requisites:
 1. Python > = 3.7 
 2. Python Package Installer(PyPI)

``pip install gitfun``

# Usage

For initial push to the remote Repository  


``fun pushbranch -url <link_of_the_github_repo> -m commit message -b branch name``

For checking the git status

``fun status``

For checking the remote

``fun remote``

For getting a pull from the branch 

``fun pullbranch -url <link_of_the_github_repo>  -b branch name``


# Development


for development setup 

1. clone the repository 

``git clone https://github.com/astaqc/gitfun.git``

2. Create a virtualenv 

``python3 -m virtualenv <virtualenvironment_name>``

3. Activate the virtualenv 

``source venv_name/bin/activate``
   
4.Install the setup file 

``python setup.py install  ``

``pip install -e . ``

# Contribute

Check out the [Contribute.md](CONTRIBUTING.md)
### Sponsor
[Astaqc Consulting](https://astaqc.com/)


### Adding new features or fixing bugs
Check out the [Issue Template](.github/ISSUE_TEMPLATE/bug_report.md) for reporting the bugs 

Check out the [Feature Request Template](.github/ISSUE_TEMPLATE/feature_request.md)  for feature request


# License

Check out the [MIT](LICENSE) License
chefkoch-api 1.0.0
Python library to retrieve information from chefkoch.de
License: MIT
Keywords: chefkoch,chefkoch_api,chefkoch_api,get_chefkoch,chefkoch_retrieval,german

# chefkoch_api
[![Downloads](https://pepy.tech/badge/chefkoch_api)](https://pepy.tech/project/chefkoch_api)

Python library to retrieve data from chefkoch.de

## Installation
Use the package manager [pip](https://pypi.org/) to install [chefkoch_api](https://pypi.org/project/chefkoch_api/)
```
pip install chefkoch_api
```

## Examples:

#### Retrieving daily recommendations
```python
from chefkoch_api import chefkoch

recipes = chefkoch.get_daily_recommendations(category="backe")

for recipe in recipes:
    print("\n" + str(recipe))
```

#### Retrieving a random recipe
```python
from chefkoch_api import chefkoch

recipe = chefkoch.get_random_recipe()
print(recipe.modify_portions(portions=6))

for step in recipe.steps:
    print("Next -> " + step)
```

#### Searching for a specific recipe with filter
```python
from chefkoch_api import chefkoch

print(chefkoch.get_specifications())
recipes = chefkoch.search(search_term="Lasagne",
                          filters={"page": 2, "sort": "rating", "duration": 30,
                                            "difficulty": {"easy": True, "medium": True, "hard": False}},
                          specifications=["vegetarisch", "gemuese"])
print(recipes)
```

## Recipe interactions

|name               |type      |description                                                                         |
|-------------------|----------|------------------------------------------------------------------------------------|
|get_next_step      |method    |returns the next step of the recipe. Throws EndOfRecipeError when the end is reached|
|modify_portions    |method    |modifies the portions and returns the new dict for ingredients                      |
|info_dict          |attribute |contains all information retrived directly from javascript from the chefkoch page   |
|ingredients        |attribute |dictionary with ingredients as key and the amount as values. Everything is a string |
|steps              |attribute |list with all steps. Simply the instruction text split by '.'                       |
|image              |attribute |hyper-link to the main image                                                        |
|...                |attributes|more attributes available that are self-explainatory                                |

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.