semvec/pypi-packages huggingface dataset:
eyesaver 1.0.0
Save your eyes with this tool that lets you know when the screen changes a little bit. Excellent for late-night study videos.
License: MIT
Requires Python: >=3.8,<4.0
Keywords: screen,cv,computer vision

# EyeSaver

This CLI-tool will tell you when there is a change happening on the screen by beeping. Now you can close your eyes and give them a rest during those late video-lecture nights, while being sure not to miss a single bullet in the presentation you're watching. 😉
pfinance 0.2.2
Financial mathematics library
License: MIT
Requires Python: >=3.9
Keywords: finance,mathematics

# pfinance
pfinance is a Python financial mathematics library.
It attempts to provide a comprehensive suite of functions, tools, and calulators geared towards financial applications.
pfinance does not supply APIs for market and exchange lookup.

<table>
  <tr>
    <td>Supports</td>
    <td>Python 3.9</td>
  </tr>
  <tr>
    <td>Latest Release</td>
    <td>
      <a href="https://pypi.org/project/pfinance/">
        <img src="https://img.shields.io/pypi/v/pfinance.svg" alt="latest release" />
      </a>
    </td>
  </tr>
  <tr>
    <td>Package Status</td>
    <td>
      <a href="https://pypi.org/project/pyfinance/">
        <img src="https://img.shields.io/pypi/status/pyfinance.svg" alt="status" /></td>
      </a>
  </tr>
  <tr>
    <td>License</td>
    <td>
      <a href="https://github.com/bsolomon1124/pyfinance/blob/master/LICENSE">
        <img src="https://img.shields.io/pypi/l/pyfinance.svg" alt="license" />
      </a>
    </td>
  </tr>
</table>

## Installation
pfinance is available via [PyPI](https://pypi.python.org/pypi/pfinance/). Install with pip:

```bash
$ python3 -m pip install pfinance
```

**Note**: pfinance requires Python >= 3.9 for full test and annotation compatability, but may offer reduced functionality for earlier 3.x versions.

## Modules
pfinance functions are organized by module.

<table>
  <tr>
    <td>Module</td>
    <td>Description</td>
  </tr>
  <tr>
    <td><code>general</code></td>
    <td>Common finance functions</td>
  </tr>
  <tr>
    <td><code>depreciation</code></td>
    <td>Depreciation of assets functions</td>
  </tr>
  <tr>
    <td><code>time_value</code></td>
    <td>Time value of money functions</td>
  </tr>
  <tr>
    <td><code>conversion</code></td>
    <td>Unit and notation conversion functions</td>
  </tr>
  <tr>
    <td><code>securities</code></td>
    <td>Securities tracking and analysis functions</td>
  </tr>
</table>

## Example
Determine the value of a $100.00 investment earning 7% interest compounded monthly after 10 years.
```python
>>> from pfinance import general
>>> value = general.compound_interest(100, 0.07, 10, 12)
>>> print(round(value, 2))
200.97
```

## Dependencies

pfinance does not rely on any third party dependencies.
emlens 0.0.11
A lightweight toolbox for understanding embedding space
License: MIT
Keywords: word embedding,graph embedding

# emlens
[![Build Status](https://travis-ci.org/skojaku/emlens.svg?branch=main)](https://travis-ci.org/skojaku/emlens)
[![Unit Test & Deploy](https://github.com/skojaku/emlens/actions/workflows/main.yml/badge.svg)](https://github.com/skojaku/emlens/actions/workflows/main.yml)

A lightweight toolbox for analyzing embedding space

## Requirements
- Python 3.7 or 3.8 (may not work on 3.9)

## Doc

https://emlens.readthedocs.io/en/latest/

## Install

```bash
pip install emlens
```

`emlens` uses [faiss library](https://github.com/facebookresearch/faiss), which has two versions, `faiss-cpu` and `faiss-gpu`.
As the name stands, `faiss-gpu` can leverage GPUs, thureby faster if you have GPUs. `emlens` uses `faiss-cpu` by default to avoid unnecessary GPU-related troubles.
Yet, you can still leverage the GPUs (which is recommended if you have) by installing `faiss-gpu` by

*with conda*:
```bash
conda install -c conda-forge faiss-gpu
```

or *with pip*:
```
pip install faiss-gpu
```

### Installing emlens


## Maintenance

Code Linting:
```bash
conda install -y -c conda-forge pre-commit
pre-commit install
```

Docsctring: sphinx format

Test:
```bash
python -m unittest tests/simple_test.py
```