semvec/pypi-packages huggingface dataset:
thetool 0.2.0
Get and install tools from internet
Requires Python: >=3.8.0

# thetool

This script is used to download and install tools from the internet. It is designed to be used with Linux, but it can be used with any operating system that has Python installed.

## Installation

To install thetool, run the following command:

```bash
python3 -m pip install thetool
```

## Usage

To use thetool, run the following command:

```bash
thetool install <tool>
```

To uninstall a tool, run the following command:

```bash
thetool uninstall <tool>
```

To see a list of available tools, run the following command:

```bash
thetool list
```

To see the list and version of installed tools, run the following command:

```bash
thetool list --installed
```

To get information about a tool, run the following command:

```bash
thetool info <tool>
```

To update thetool, run the following command:

```bash
thetool update
```

To upgrade a tool, run the following command:

```bash
thetool upgrade <tool>
```

To upgrade all tools, run the following command:

```bash
thetool upgrade --all
```

To clean up the cache, run the following command:

```bash
thetool clean
```

## Database

thetool uses a database to store information about tools. The database is stored in another GitHub repository, [thetool-Database](https://github.com/Lunik/thetool_database)

## Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
orthogonal-cli 0.4.0
orthogonal-cli - CLI for the DataCrunch Tournament by CrunchDAO
Requires Python: >=3
Keywords: package development template

# Orthogonal CLI

Here is the Orthogonal CLI for the DataCrunch competition by [CrunchDAO](https://www.crunchdao.com/).

## Installation

Use [pip](https://pypi.org/project/orthogonal-cli/) to install the `orthogonal-cli`.

```bash
pip install orthogonal-cli --upgrade
```

## Usage

This library require a [CrunchDAO's API Key](https://account.crunchdao.com/account/api).

```python
import orthogonal

client = orthogonal.Client(
    api_key="..." # can also be read from CRUNCHDAO_API_KEY environment variable.
)

y = pandas.read_csv("y.csv", index_col=0)
print(y.head())
#          Moons       id      abcd
# 1030371      1  AAAAAAA -2.122527
# 1030372      1  BBBBBBB -0.386952
# 1030373      1  CCCCCCC  0.028175
# 1030374      1  DDDDDDD -1.276682
# 1030375      1  EEEEEEE  0.939289

dataframe, jacobians = client.orthogonalize(y)
print(dataframe.head())
#    Moons       id      abcd
# 0      1  AAAAAAA -2.149988
# 1      1  BBBBBBB -0.395232
# 2      1  CCCCCCC  0.030502
# 3      1  DDDDDDD -1.311531
# 4      1  EEEEEEE  0.917134
```

Please see [here](https://github.com/crunchdao/orthogonal/blob/master/api/service/orthogonalize.py) for the backend implementation.

## Contributing

Pull requests are always welcome! If you find any issues or have suggestions for improvements, please feel free to submit a pull request or open an issue in the GitHub repository.

## License

[MIT](https://choosealicense.com/licenses/mit/)
pyaliceya 0.2.1
lib for yandex alice demo
Requires Python: >=3.6

# pyAlice

pyAlice - framework for simplifying work with Yandex Alice

## Getting started

```
pip install pyaliceya
```

[example of an empty dialog](https://github.com/sergey200519/pyAlice-project)

[detailed documentation](https://sergey200519.github.io/pyAlice-documentation/)

## Handler

example of the "handler" function

```
from pyAlice.py_alice import PyAlice
import settings

def handler(event, context):
  return PyAlice(params_alice=event, settings=settings).get_params_for_alice()
```
excel-1drive-noPassword 1.2.4
Package to download and manipulate Excel files from OneDrive URLs that are set to *accessible by anyone with the URL*
Requires Python: >=3.7

<h1>excel_1drive_noPassword</h1>   
_____________________________________________  

The package is immensely useful for data analysts and scientsits who work with files placed in Excel Onedrive files.

This package can be used to directly import all the sheets and their data in an excel file placed in the Onedrive without the need for username or password in a hssle free manner.

The excel file in the Onedrive should be configured to be accessible by anyone with a valid url.


_____________________________________________

<h2>Instructions.</h2>  

To install the package, perform:  

```python
pip install excel_1drive_noPassword
```
 
How to use the methods:  

<h3>1. To extract the entire excel sheet as a Dictionary where the keys are the sheet names and the values are the dataframes:  </h3>

```python
#Importing Library.
import excel_1drive_noPassword as odrxl

#The url of the excel file in the onedrive.
url = "https://1drv.ms/x/s!ApzxvrDY1mm1gTt1N0uvVwITl91i?e=z7YP4T"

data_dict = odrxl.excel_1drive_toDict(url)
```

<h3>2. To extract the sheetnames of the excel file.  </h3>

```python
#Importing Library.
import excel_1drive_noPassword as odrxl

#The url of the excel file in the onedrive.
url = "https://1drv.ms/x/s!ApzxvrDY1mm1gTt1N0uvVwITl91i?e=z7YP4T"

sheetnames = odrxl.excel_1drive_sheetnames(url)

print(sheetnames)
```

<h3>3. To extract a single sheet from the excel file as a dataframe.  </h3>

```python
#Importing Library.
import excel_1drive_noPassword as odrxl

#The url of the excel file in the onedrive.
url = "https://1drv.ms/x/s!ApzxvrDY1mm1gTt1N0uvVwITl91i?e=z7YP4T"

sheetname = "sheet_1"

df_sheet = odrxl.excel_1dr_SingleSheet_toDF(url, sheetname)
```



_____________________________________________

<h3>Have fun. :-) </h3>
movie-art 0.1.1
Turn your favorite movies into 1D representations using their frames' average color.
Requires Python: >=3.10,<4.0

# Movie Art
Turn your favorite movies into their 1D representation, where each pixel column 
corresponds to the average color of a given frame in the movie.


## Examples
Barbie (2023)

![Barbie (2023)](img/barbie_output.jpg)

Pulp Fiction (1994)

![Pulp Fiction (1994)](img/pulp_fiction_output.jpg)

Test Video ([512 frames transitioning from black to white](https://youtu.be/rVVbhl_SVIw))

![Test Video (512 frames transitioning from black to white)](img/test_output.jpg)


## Installation
```sh
pip install movie_art
```


## Usage
```sh
python -m movie_art [input.mp4] [output.jpg] --width [width] --height [height]
```
*i.e.*
```sh
python -m movie_art pulp_fiction.mp4 pulp_fiction_output.jpg --width 512 --height 128
```
atlas-engine-client 3.1.2
A Client for the workflow engine of the ProcessCube platform.
Keywords: workflow-engine atlas-engine client bpmn

# ProcessCube mittels Python verwenden

Diese Version ist durch den [processcube_client](https://pypi.org/project/processcube-client/) ersetzt worden.

Die Änderung betrifft beim Update auf die Version 4.0.x nur die Änderung
des Paketname von `atlas_engine_client` auf `processcube_client`.
audio-purifier 0.0.4
Enables silent parts removal from audio, exporting as new files. Inspired by 'faster-whisper'.
Requires Python: >=3.9

[![CI](https://github.com/huynguyengl99/audio-purifier/workflows/Test/badge.svg)](https://github.com/huynguyengl99/audio-purifier/actions?query=workflow%3ATest) [![PyPI version](https://badge.fury.io/py/audio-purifier.svg)](https://badge.fury.io/py/audio-purifier)

# Audio Purifier

**Audio Purifier** is a utility package that enables silent parts
removal from audio, exporting as new files. Inspired by
`faster-whisper`, which used SileroVAD for audio processing..

## Requirements

* Python 3.9 or greater


* You can open and save `WAV` files with pure python. For opening
and saving non-wav files – like mp3 – you'll need [ffmpeg](http://www.ffmpeg.org/)
or [libav](http://libav.org/) in order to install extra package
(PyDub).

## Installation

The module can be installed from [PyPI](https://pypi.org/project/audio-purifier/):

```bash
pip install audio-purifier
```

To have the ability to export output file as other than 'wav' format, please install
[ffmpeg](http://www.ffmpeg.org/) to your run time and install PyDub library as well.

```bash
pip install audio-purifier[extra]
```

<details>
<summary>Other installation methods (click to expand)</summary>

### Install the latest dev version from github (or replace `@master` with a [@release_version]

```bash
pip install git+https://github.com/huynguyengl99/audio-purifier@master
```

</details>

## Document
Please visit [Audio Purifier doc](https://audio-purifier.readthedocs.io/) for
documentation.