semvec/pypi-packages huggingface dataset:
ansciier 1.2.1
Command line program to mimic any image to your terminal
License: MIT
Requires Python: >=3.6

# Ansciier
Mimic video or image to your terminal

## Overview
![demo](https://user-images.githubusercontent.com/59413417/129385066-df1d222b-9233-48fd-b193-4f8497341222.gif)

## How to use it
1. First you need [python 3][python], I reccomend the latest version but I think it would run on older version too.
2. Install the package with `$ pip install ansciier` or `pip3` if pip is point to python 2 version.
3. Run it with `$ ansciier /path/to/image-or-video.mp4`.
4. Type `$ ansciier -h` for help.

## Example usage
- `$ ansciier ~/Videos/rickroll.mp4 --aspect-ratio 20:9 --fps 24`  
Command above will draw frame from rickroll.mp4 in Videos folder with aspect ratio of 20:9 and max fps at 24

- `$ ansciier ~/Video/frame{0}.png --ascii --char @ --dim 200x50 --start-frame 59`  
This command will draw image with `@` character, 200x50 square block dimension from frame59.png, frame60.png, until it reaches the highest frame number. It'll automatically find the last frame when `--last-frame` is not specified, it'll still continue if a frame is missing.

- `$ ansciier camera` will use your camera

Note : Support only truecolor terminal (Because majority of terminals nowadays are truecolor I think you already have one).

Should work on Windows and Linux

[python]: https://www.python.org/downloads/release/python-396/
scienco 1.0.1
Calculate the readability of text using one of a variety of computed indexes
License: MIT
Requires Python: >=3.8,<4.0
Keywords: python,readability,indexes,score

Scienco
=======
[![pipeline status][pipeline]][homepage]
[![coverage report][coverage]][homepage]
[![latest version][version]][pypi]
[![python requires][pyversions]][pypi]

Calculate the readability of text using one of a variety of computed indexes including:

- Flesch-Kincaid score
- Automated readability index
- Coleman-Liau index

Requirements
------------
Python 3.8+

Installation
------------
```
$ pip install scienco
```

Usage
-----
```python
>>> import scienco
>>> metrics = scienco.compute_metrics("Lorem ipsum dolor sit amet ...")
>>> metrics
Metrics(sentences=32, words=250, letters=1329, syllables=489, is_russian=False)
>>> indexes = scienco.compute_indexes(sentences=32, words=250, letters=1329, syllables=489, is_russian=False)
>>> indexes
Indexes(flesch_reading_ease_score=33.43, automated_readability_index=7.51, coleman_liau_index=11.67)
```

Distribution
------------
This project is licensed under the terms of the [MIT License](LICENSE).

Links
-----
- Documentation: <https://amalchuk.gitlab.io/scienco>
- Code: <https://gitlab.com/amalchuk/scienco>
- GitHub mirror: <https://github.com/amalchuk/scienco>

[homepage]: <https://gitlab.com/amalchuk/scienco>
[pypi]: <https://pypi.org/project/scienco>
[pipeline]: <https://gitlab.com/amalchuk/scienco/badges/master/pipeline.svg?style=flat-square>
[coverage]: <https://gitlab.com/amalchuk/scienco/badges/master/coverage.svg?style=flat-square>
[version]: <https://img.shields.io/pypi/v/scienco?color=blue&style=flat-square>
[pyversions]: <https://img.shields.io/pypi/pyversions/scienco?color=blue&style=flat-square>
aiohoripy 0.0.2
An asynchronous Python Wrapper for Hori-API
License: MIT
Requires Python: >=3.8.0
Keywords: python,api,discord,http,anime,hori

# This is a asynchronous wrapper for Hori-API named `aiohoripy`

## The way you use it it's so simple:
```py
import aiohoripy
# or 
from aiohoripy import sfw, nsfw

import discord
from discord.ext import commands

bot = commands.Bot(command_prefix="prefix", intents=discord.Intents.all())

@bot.event
async def on_ready():
    print("I'm ready")

@bot.command()
async def waifu(ctx):
    image = await sfw(tag="waifu")
    # or
    image = await nsfw(tag="waifu")
    await ctx.send(image)

bot.run("TOKEN")
```
The tags are the same as the tags that the api gives

sfw tags are: `["all", "husbando", "waifu"]`

nsfw tags are: `["ass", "ecchi", "ero", "hentai", "maid", "milf", "oppai", "oral", "paizuri", "selfies", "uniform"]`

The output that` `image`` gives is the same as the json results in the API

and you can get them with:

`image["code", "is_over18", "tag_id", "tag_name", "file", "url"]`

# Made by lvlahraam#8435