semvec/pypi-packages huggingface dataset:
OpenPermID 0.5
Open PermID APIs: Record Matching, Entity Search, and Intelligent Tagging
License: MIT
Keywords: Open PermID,Calais,Tagging

Open PermID APIs 

PermID is a shortening of Permanent Identifier.  Open PermIDs are assigned to entities, securities, quotes, individuals and more. Open PermID is specifically designed for use by machines to reference related information programmatically.

This python package contains APIs for Open PermID including:

PermID - Record Matching
PermID - Entity Search
Intelligent Tagging

For more information, please refer to:

1. [Refinitiv Developer Community](https://developers.refinitiv.com/open-permid/)

2. [Open PermID](https://permid.org/)

3. [Open PermID APIs Usage](https://github.com/Refinitiv-API-Samples/Article.OpenPermID.Python.APIs)
revar 0.3
Replace specific values ​​with custom variables
License: MIT
Requires Python: >=3.7
Keywords: replace,custom,variable

# revar
![PyPI](https://img.shields.io/pypi/v/revar?logo=pypi)
![PyPI - License](https://img.shields.io/pypi/l/revar)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

Replace specific values ​​with custom variables

## Installation

```bash
pip3 install revar
```
## Examples
Input
```python
import revar
text = "Hello, $username$\nNice to meet $who$"
output = revar.replace(text, {"$username$": "decave27", "$who$": "you"})
print(output)
```
Output
```
Hello, decave27
Nice to meet you
```
```python
import revar

r = revar.Revar(prefix="$")
output = r.replace("Hello, $username\nNice to meet $who", username="decave27", who="you")
print(output)
```
Output
```
Hello, decave27
Nice to meet you
```
metallic 0.1.0
A simple toolbox for meta-learning research based on Pytorch.
License: MIT

# Metallic

Metallic is a clean library for meta-learning research based on [PyTorch](https://github.com/pytorch/pytorch).

Different from other meta-learning libraries, Metallic aims at providing a lightweight modularized toolbox for setting up meta-learning experiments quickly with the least amount of code.

The library is **work in progress**.


&nbsp;

## Installation

```bash
git clone https://github.com/Renovamen/metallic.git
cd metallic
python setup.py install
```

or

```bash
pip install git+https://github.com/Renovamen/metallic.git --upgrade
```


&nbsp;

## Documentations

Check the API documentation here: [metallic-docs.vercel.app](https://metallic-docs.vercel.app)


&nbsp;

## Acknowledgements

Metallic is highly inspired by the following awesome libraries:

- [learn2learn](https://github.com/learnables/learn2learn)
- [Torchmeta](https://github.com/tristandeleu/pytorch-meta)
- [higher](https://github.com/facebookresearch/higher)

&nbsp;

## License

Metallic is MIT licensed, see the [LICENSE](LICENSE) file for more details.
autograders-cli 1.1.0
Autograders Command Line Interface
License: MIT
Requires Python: >=3.6

<img src="https://raw.githubusercontent.com/Autograders/logo/master/logo/full.png" width="145px" align="right" />

# Autograders CLI

[![License](https://img.shields.io/github/license/autograders/cli)](https://github.com/Autograders/cli/blob/master/LICENSE)
[![version](https://img.shields.io/pypi/v/autograders-cli)](https://img.shields.io/pypi/v/autograders-cli)