semvec/pypi-packages huggingface dataset:
aiddit-agic-core 0.1.6
aiddit agic core
Requires Python: >=3.10

addit aigc core
==============================

## Installation

```bash
pip install aiddit_agic_core

pip install --upgrade aiddit_agic_core

pip install aiddit_agic_core==0.1.1
```

## pypi打包
```bash
pip freeze -> requirements.txt  
```

```bash
rm -rf dist/* build/ *.egg-info
```

```bash
python setup.py sdist bdist_wheel 
```

```bash
twine upload dist/*
```
SakiPy 0.0.3
SakiPy 是十六夜咲月自建的一个库
Requires Python: >=3.10
Keywords: API, SakiPy, Python

Copyright (c) 2024 The Python Packaging Authority
 
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
 
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
chat-tokenizer 0.1.0
Chat Tokenizer

# chat-tokenizer

## Usage

```python
from chat_tokenizer import ChatTokenizer
from transformers import AutoTokenizer


tokenizer = ChatTokenizer(AutoTokenizer.from_pretrained("qwen/Qwen2.5-0.5B-Instruct"))

audio_lens = [[4, 2], 3]
labels = [["今天天气不错", "哈哈"], "你好啊"]
input_ids, input_lens, label_ids, label_lens = tokenizer.batch_tokenize(audio_lens, labels)
input_ids = tokenizer.fill_labels(label_ids, input_ids)
```
doro 1.0.0
CLI based pomodoro app
Requires Python: >=3.12.8

# Doro - CLI based pomodoro app
Doro is a CLI based pomodoro app and countdown timer application built using python.

## Install
```bash
$ pip install doro
```

## Usage

### Pomodoro
#### Configuration
Configure pomodoro session using `doro config`. Config will be stored at `~/.doro.yaml`
```bash
$ doro config

# verify config
$ cat ~/.doro.yaml
```
#### Start Pomodoro
```bash
$ doro start
```

### Countdown timer
```bash
$ doro countdown MINUTES

# 15 minutes counter
$ doro countdown 15

# 90 minutes counter
$ doro countdown 90
```

## Demo
![pomodoro-demo](https://raw.githubusercontent.com/sureshdsk/doro/main/screenshots/doro-demo.gif?raw=true)
![countdown-demo](https://raw.githubusercontent.com/sureshdsk/doro/main/screenshots/doro-demo2.gif?raw=true)


## Development
```
$ uv venv --python=3.12
$ source .venv/bin/activate

$ uv build
Successfully built dist/doro-X.X.X.tar.gz
Successfully built dist/doro-X.X.X-py3-none-any.whl 

$ pip install dist/doro-0.0.4-py3-none-any.whl --force

$ doro --help
```