semvec/pypi-packages huggingface dataset:
functions-by-olgabotnari 0.3.0
This is our test project
Requires Python: >=3.10,<4.0

# Instructions 

### This is our test project. 
### Please install this package
'''
pip install functions_by_olgabotnari
'''

### You can also install older packages
'''
pip install functions-by-olgabotnari==VERSION_NUMBER
'''
functions-by-farrukhsadykov 0.3.0
This is our test project
Requires Python: >=3.10,<4.0

# Instructions

#### This is our test project. 

#### Please install this package
```
pip install functions-by-farrukhsadykov
```


#### You can also install older packages
```
pip install functions-by-farrukhsadykov==VERSION_NUMBER
```
bioreadout 0.2.1
Bio file readers, instrument schema.

[![pypi](https://img.shields.io/pypi/v/bioreadout?color=%2334D058&label=pypi%20package)](https://pypi.org/project/bioreadout)

# Bioreadout: Readouts & instruments

This package is in private beta at this moment!

Follow https://twitter.com/laminlabs to learn about a first public release.

For beta users: Read the [docs](https://lamin.ai/docs/bioreadout).
tiny-2d-engine 0.0.0
2D acquisition canvas
Requires Python: >=3.6
Keywords: gui,tkinter,reverse engineering,acquisition,geometry,image

# tiny_2d_engine


![t2de](./td2e.png)

A Tk.Canevas widget augmented to allow 2D acquisitions:

1. load an image
2. Add a calibration for the image to set up your own world coordinates
3. Add Points or Lines on the image
4. Save your project. You will find the word coordinates of all your objects in the projects, ready for an other usage.

It can be used as a standaone application with:

```bash
> tiny_2d_engine gui
```

Or as a Tkinter widget like here:


```python
from tkinter import ttk
from tiny_2d_engine.main import Acquisition2D

def add_viewer_2d(otroot):
    """Injection of a viewer 2D to opentea"""
    title = "2D dialog"
    view2d_fr = ttk.Frame(otroot.notebook, name=title)
    otroot.notebook.add(view2d_fr, text=title)
    viewer = Viewer2D(
        view2d_fr,
        otroot,
    )
    return viewer


class Viewer2D(Acquisition2D):
    def __init__(self, master, otroot):
        super().__init__(master, standalone=True)
        self.pack( side="top")
        self.otroot = otroot

    def get(self):
        print("get data")
        return self.acq_canvas.as_dict()

    def set(self, data: dict):
        print("set data")
        self.acq_canvas.load_dict(data)
```

## Disclaimer

This package is very young and uncomplete.

Known issues are:

- A spurious contextual menu pops up sometimes
- Changing image can fail
- Moving the calibration around is quickly perturbating the acquisitions (You are not supposed to do that!)

But it works somehow.
image-processing-DIO 0.0.2
Package basic of processing image
Requires Python: >=3.8

# package_name

Description. 
The package image-processing-DIO is used to:

	Processing:
	
		- Histogram matching
		- Structural similarity
		- Resize image
	Utils:

		- Read image
		- Save image
		- Plot image
		- Plot result
		- Plot histogram

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install image-processing-DIO

```bash
pip install image-processing-DIO
```

## Usage

```python
from image-processing-DIO.processing import combination
combination.find_difference()
```

## Author
Ernesto

## License
[MIT](https://choosealicense.com/licenses/mit/)
DarlingVip-Instagram 0.0.1
DO WHAT YOU WANT ON INSTAGRAM!
Requires Python: >=3.10

THIS MY FIRST PYTHON PACKAGE! DO WHAT YOU WANT ON INSTAGRAM!

HOW TO USE:
```python
from Darling_Instagram.Darling import DarlingInstagram

#START
IG = DarlingInstagram(cookie="YOUR INSTAGRAM COOKIE!")

# FOLLOW USER
follow = IG.FollowUser(user_url="https://www.instagram.com/quang722008/") #USER URL

# LIKE POST
like = IG.LikePost(user_url="https://www.instagram.com/p/CjnZsxqvyH0/") #POST URL

# COMMENT POST
comment = IG.comment_post(url_post="https://www.instagram.com/p/CjnZsxqvyH0/",content="Mquang Đẹp Trai!") #URL POST & COMMENT CONTENT

#UNFOLLOW USER
unfollow = IG.UnfollowUser(user_url="https://www.instagram.com/quang722008/") #USER URL

#CHANGE PROFILE PICTURE
change_profile_picture = IG.UploadProfilePicture(img_path="PATH PICTURE") #PATH PICTURE

#POST
post = IG.UploadPost(img_path="PATH PICTURE") #PATH PICTURE

```
fromconfig 0.7.2
A library to instantiate any Python object from configuration files

<p align="center">

<h1 align="center">FromConfig</h1>

<p align="center">
    <a href="https://pypi.python.org/pypi/fromconfig">
        <img src="https://img.shields.io/pypi/v/fromconfig.svg">
    </a>
    <a href="https://github.com/criteo/fromconfig/actions?query=workflow%3A%22Continuous+integration%22">
        <img src="https://github.com/criteo/fromconfig/workflows/Continuous%20integration/badge.svg">
    </a>
    <a href="https://fromconfig.github.io">
        <img src="https://img.shields.io/website?down_color=red&down_message=down&label=documentation&up_color=green&up_message=up&url=https%3A%2F%2Ffromconfig.github.io">
    </a>
</p>

<p align="center"><i>A library to instantiate any Python object from configuration files.</i></p>

<p align="center"><a href="https://fromconfig.github.io">Documentation</a> and <a href="https://github.com/criteo/fromconfig">Github</a></p>

<p align="center">
    <code>pip install fromconfig</code> and <a href="https://criteo.github.io/fromconfig/#/getting-started/quickstart/">Get Started</a>
</p>

<p align="center">
    <img src="./images/fromconfig.svg">
</p>