semvec/pypi-packages huggingface dataset:
gorse 0.4.3
An interesting python package
Requires Python: >=3.8

# gorse

#### Installing

Install and update using pip:

```
$ pip install -U gorse
```

#### A Simple Example

```
from gorse import route, run, template


@route("/hello/<name>")
def hello(name):
    return template("<b1>Hello {{name}}</b1>!", name=name)


@route("/")
def index():
    return "<h1>Hello world!</h1>"

run(host="127.0.0.1", port=8000, debug=True)
```

#### Links

- Documentation: [https://github.com/MarkHoo/gorse](https://github.com/MarkHoo/gorse)
- PyPI Releases: [https://pypi.org/project/gorse/](https://pypi.org/project/gorse/)
- Source Code: [https://github.com/MarkHoo/gorse](https://github.com/MarkHoo/gorse)
- Issue Tracker: [https://github.com/MarkHoo/gorse/issues](https://github.com/MarkHoo/gorse/issues)
- Website: [https://pypi.org/project/gorse/](https://pypi.org/project/gorse/)
gorseapi 0.1.0
An interesting python package
Requires Python: >=3.8

# GorseAPI

#### Installing

Install and update using pip:

```
$ pip install -U gorseapi
```

#### A Simple Example

```
from gorseapi import GorseAPI


app = GorseAPI(__name__)

@app.route("/")
def hello():
    return "<h1>Hello World!</h1>"

app.run("127.0.0.1", 8000, debug=True)
```

#### Links

- Documentation: [https://github.com/MarkHoo/gorseapi](https://github.com/MarkHoo/gorseapi)
- PyPI Releases: [https://pypi.org/project/gorseapi/](https://pypi.org/project/gorseapi/)
- Source Code: [https://github.com/MarkHoo/gorseapi](https://github.com/MarkHoo/gorseapi)
- Issue Tracker: [https://github.com/MarkHoo/gorseapi/issues](https://github.com/MarkHoo/gorseapi/issues)
- Website: [https://pypi.org/project/gorseapi/](https://pypi.org/project/gorseapi/)
nonebot-paddle-ocr 1.1.1
nonebot_paddle_ocr

**Supports use in group chat and private chat**
**Supports images and PDF formats**
**Supports continuous conversation**

**Usage**
Local recognition: start recognition by sending a private message or /ocr. You can then send photos or PDFs continuously. After sending a PDF, you will be prompted to enter the number of pages to recognize. 0 means all (too many pages will cause slow recognition and reply, and too many characters may cause sending failure). Sending the corresponding language English abbreviation can switch the language (effective continuously). Send /end to end the current user conversation, and users do not affect each other.
Web API recognition: send /apiocr, only support photos of Chinese, English and digital punctuation, cannot switch languages, other usage is the same as above.
tuo-ml 6.0.0.27
Machine Learning for TUO
Requires Python: >=3.8,<4.0

# Requirements

1. Python 3.X with pip/Anaconda on Windows
2. Java 1.8 or higher



# Install

```
$ pip install tuo_ml
```

If you do not have administrator rights append `--user`/`--break-system-packages` to above command.

Alternatively, if some errors occur in later steps to install from source.





# Run it

```
tuo/data $ tuo_train --help
tuo/data $ tuo_train
```

The output should look similar to:

```
Loading database from database.yml...done
Parsing database...
100%|█████████████████████████████████████| 1705/1705 [00:20<00:00, 84.00it/s]
100%|███████████████████████████████████████████| 1/1 [00:20<00:00, 20.30s/it]
Training...
Win......Average Error: +-1.752% (+-0.027%)
Stall....Average Error: +-0.750% (+-0.017%)
Loss.....Average Error: +-1.225% (+-0.022%)
Points...Average Error: +-1.760 (+-0.031)
```

The uncertainty of the training is indicated.
You can copy the `*.pmml` files into your `data/` folder to use them in tuo now.

# Run it from source

If you want to define your own ML model follow these steps.

## Download

Download the source zip from github and unzip it. Or better clone the repo
```
$ git clone https://github.com/APN-Pucky/tyrant_optimize.git tuo
$ cd tuo/ml
```

## Install

```
tuo/ml $ poetry install 
```

## Modify train.py to your likings.

## Run it
```
tuo/data $ poetry run tuo_train
```
synthetic-combinations 0.0.2
Imputing counterfactual outcomes for combinatorial interventions
Requires Python: >=3.6

# Synthetic Combinations (`synth_combo`)
## (Brief description)
This repository contains the code for the synthetic-combinations algorithm (see the figure below for a visual description). 

![Screenshot](synthetic_combination_figure.png)

## Getting Started
### Installation
- what are the version and system requirements? (Tested on 3.11, but need to verify min)
- What are the steps to install?
- How do I run the test suite?

### Basic Usage

## Docs
instasamka 0.0.1
The simplest package management from the source code

# INSTALLED: the simplest package management from the source code

Thanks to this package, it is very easy to manage the lifecycle of packages directly from the code.


Install it:

```bash
pip install instasamka
```

And use as in this example:

```python
import installed


with installed('polog'):
  from polog import log, config, file_writer

  config.add_handlers(file_writer())

  log('some message!')
```

This code installs the [polog](https://github.com/pomponchik/polog) package, imports the necessary objects from there and displays a message. At the end of the program, there will be no excess garbage left in the system. This way you can easily try different packages without bothering with their installation and subsequent removal.