semvec/pypi-packages huggingface dataset:
base-parser 0.0.3
Base library for Bi.Zone parsers
Requires Python: <4.0,>=3.12

Запуск:

```main.py -c <путь до конфигурационного файла> <путь до конфигурационного файла> ...```

example:

```main.py -c "config_parser/configs/test_config.yaml"```

!! ВАЖНО !!
На данный момент рабочей версией является единственный конфигурационный файл:

"config_parser/configs/test_config.yaml"
SignalCliAPi 0.5.11.5
A python3 API to the signal-cli application.
Requires Python: >=3.12

# SignalCliApi
 Python 3 API for the signal-cli messaging utility

Requires python3, qrencode application, convert application, linkpreview, pytz and tzlocal python libraries, and of course signal-cli to be installed.

linkpreview can be installed with pip: 'pip install linkpreview'

Signal-cli can be found at: https://github.com/AsamK/signal-cli

This library has been developed and tested on Ubuntu Jammy (24.04.1)

This library is also released with out liscence or any garuntees, and I'll take no responsibility for it's operation. Your milage may vary.
Any contributions, etc are welcome, just reach out and I'll get back with you.
diacriticize 1.0.0
A package that ḑ͌̓͜ ̧ͤ́ͫe̹͚͛̔ ̸̞̓ͩm͚̜̅́ ̷͉̽͊o̗͚̊̕ ͖̈ͧ̓l̴̢͈̋ ̲̰̅͏i̧̨̳͇ ̮̦̠͟s̢͒̎͌ ͉ͣͩ͢ḩ͙͍͌ ̵̤̿ͣe̡͑͊͊ ̯̪͙̅s̶ͬ͒̆ strings
Requires Python: >=3.8

# Diacriticize

A package that ḑ͌̓͜ ̧ͤ́ͫe̹͚͛̔ ̸̞̓ͩm͚̜̅́ ̷͉̽͊o̗͚̊̕ ͖̈ͧ̓l̴̢͈̋ ̲̰̅͏i̧̨̳͇ ̮̦̠͟s̢͒̎͌ ͉ͣͩ͢ḩ͙͍͌ ̵̤̿ͣe̡͑͊͊ ̯̪͙̅s̶ͬ͒̆ strings (also called *zalgo*)

## Usage
As a module:
```py
from diacriticize import diacriticize

out = diacriticize("input string")
```

Also includes a cli tool:
```bash
$ diacriticize -h
usage: diacriticize [-h] [--times TIMES] [--unsafe-range] input

combine input chars with random diacritical marks

positional arguments:
  input

options:
  -h, --help            show this help message and exit
  --times TIMES, -t TIMES
                        number of diacritical marks to combine (default: 4)
  --unsafe-range, -u    use characters not visible in common fonts
```

## Installation
```bash
$ pip install -U diacriticize
```
verisnap 0.1.1
A tool to create directory snapshots with size-based file copying or symlinking
Requires Python: >=3.6

### VeriSnap

VeriSnap is a Python tool designed to facilitate tracking and managing multiple experiment runs. It creates snapshots of directories, selectively copying or symbolically linking files based on a specified size threshold. This is especially useful in research environments where experiments might contain bugs or need to be rerun, as it provides an easy way to version and manage experiment results without risk of overwriting previous snapshots.

## Key Features
- **Automatic Versioning**: VeriSnap automatically checks the snapshot directory and increments the version number, so you donâ€™t need to worry about overwriting previous experiments.
- **Integration with Experiment Tracking**: The generated version number can be used within your code to label saved models, and it can be integrated with tools like TensorBoard for logging metrics and results.
- **Efficient File Management**: Files are either copied or symbolically linked based on a size threshold, optimizing storage space.

## Installation

To install VeriSnap, use pip:

```bash
pip install verisnap
```

## Usage 
```
from verisnap import make_snapshot

source_dir = '/path/to/source'  # Directory containing the experiment results
snapshots_dir = '/path/to/snapshots'  # Directory where snapshots will be stored
threshold = 50  # MB, files larger than this will be symbolically linked

version = make_snapshot(source_dir, snapshots_dir, threshold)

# Proceed with your training code...

# You can use the `version` in your code to label saved models or logs.
```