semvec/pypi-packages huggingface dataset:
python-lib-2 1.0.0
A simple image format converter using Pillow
Requires Python: >=3.6

# Image Converter

A simple Python script to convert images between formats using the Pillow library.

## Features
- Convert images to PNG, JPG, BMP, and WEBP formats.
- Supports batch conversion.
- Easy-to-use command-line tool.

## Installation

Ensure you have Python installed (>=3.6), then install the package:

sh
pip install .


## Usage

### As a Python Script

python
from image_converter import convert_format

convert_format("input/rose.jpg", "png")


### As a Command-Line Tool

After installation, you can use it from the terminal:

sh
convert-image input/rose.jpg png


## Dependencies
- Pillow

## License
MIT License

## Author
Your Name - [GitHub Profile](https://github.com/yourusername)
format-k 1.0.0
A simple image format converter using Pillow
Requires Python: >=3.6

# Image Converter

A simple Python script to convert images between formats using the Pillow library.

## Features
- Convert images to PNG, JPG, BMP, and WEBP formats.
- Supports batch conversion.
- Easy-to-use command-line tool.

## Installation

Ensure you have Python installed (>=3.6), then install the package:

sh
pip install .


## Usage

### As a Python Script

python
from image_converter import convert_format

convert_format("input/rose.jpg", "png")


### As a Command-Line Tool

After installation, you can use it from the terminal:

sh
convert-image input/rose.jpg png


## Dependencies
- Pillow

## License
MIT License

## Author
Your Name - [GitHub Profile](https://github.com/yourusername)
format-imageben 1.0.0
A simple image format converter using Pillow
Requires Python: >=3.6

# Image Converter

A simple Python script to convert images between formats using the Pillow library.

## Features
- Convert images to PNG, JPG, BMP, and WEBP formats.
- Supports batch conversion.
- Easy-to-use command-line tool.

## Installation

Ensure you have Python installed (>=3.6), then install the package:

```sh
pip install .
```

## Usage

### As a Python Script

```python
from image_converter import convert_format

convert_format("input/rose.jpg", "png")
```

### As a Command-Line Tool

After installation, you can use it from the terminal:

```sh
convert-image input/rose.jpg png
```

## Dependencies
- Pillow

## License
MIT License

## Author
Your Name - [GitHub Profile](https://github.com/yourusername)
transcriber 0.1.17
A simple tool to transcribe audio files
Requires Python: >=3.11

# Transcriber

A flexible Python package for transcribing audio and video from various sources (SoundCloud, YouTube, or local files) into multiple text formats (txt, docx, srt). The transcriber supports multiple speech recognition models (defaulting to Whisper "large-v3"). It leverages GPU acceleration for faster processing and utilizes concurrency through async and multiprocessing to improve performance.

## Features

- **Multiple Input Sources**: Transcribe from SoundCloud, YouTube, or local audio/video files
- **Multiple Models**: Support for both `faster-whisper` and standard `whisper` models
- **GPU Acceleration**: Utilize GPU processing for faster transcription
- **Concurrent Processing**: Batch processing and VAD filtering for improved performance
- **Various Output Formats**: Export transcriptions to multiple formats
- **Progress Tracking**: Rich progress bars showing transcription status
- **Configurable**: Extensive configuration options via environment variables or settings

## Requirements

- Python 3.11 or higher
- GPU support (optional but recommended for better performance)

## Installation

1. Install the package:

    ```bash
    uv pip install Transcriber
    ```

## Configuration

1. Copy the example environment file:

    ```bash
    cp .env.example .env
    ```

2. Configure the settings in `.env`:

    ```env
    # Input settings
    INPUT__URLS_OR_PATHS=["Audio_To_Transcribe"]
    INPUT__SKIP_IF_OUTPUT_EXIST=false

    # Output settings
    OUTPUT__OUTPUT_FORMATS=["all"]
    OUTPUT__OUTPUT_DIR="Transcripts"

    # Whisper model settings
    WHISPER__LANGUAGE="ar"
    ```

## Usage

### Basic Usage

```python
from Transcriber.transcriber import transcribe

# Configure input files in .env, then:
transcribe()
```

### Command Line Usage

```bash
uv run --with Transcriber transcribe
```

### Example Configuration

```python
# Example settings in your .env file
INPUT__URLS_OR_PATHS=["path/to/audio.mp3", "https://youtube.com/watch?v=example"]
OUTPUT__OUTPUT_FORMATS=["txt", "srt"]
WHISPER__LANGUAGE="en"
```

## Acknowledgments

- [OpenAI Whisper](https://github.com/openai/whisper)
- [Faster Whisper](https://github.com/guillaumekln/faster-whisper)
proname 1.0.12
first demo
Requires Python: >=3.6

# easytest
`easytest`是一个接口自动化框架。

功能特点：

- 支持http接口测试
- 支持`json`，`html`,`xml`格式的响应断言
- 支持数据库断言
- 支持用例标记筛选
- 支持用例失败重运行
- 支持多线程

[//]: # (https://www.cnblogs.com/ck-zscs/p/17948705)
 - python=3.9
ibkr_event_daemon 0.3.0
A lightweight event handling tool for Interactive Brokers based on the ibevent library. This project automates the process of capturing, triggering, and dispatching events from the IBKR trading platform.
Requires Python: >=3.12.0

[中文文档](README_zh.md)

# IBKR Event Daemon

A flexible event-driven daemon for Interactive Brokers TWS/Gateway that handles real-time market data and trading events.

## Features

- Event-driven architecture for handling IBKR market data and trading events
- Simple handler pattern for implementing custom event processors
- Built-in support for real-time bar data
- Configurable via environment variables or command-line options
- Comprehensive logging with rotation and retention policies
- Supervisor integration for process management

## Installation

```bash
pip install ibkr-event-daemon
```

## Quick Start

1. Configure your environment variables in `.env`:
```
IB_EVENT_DAEMON_HOST=127.0.0.1
IB_EVENT_DAEMON_PORT=7497
IB_EVENT_DAEMON_CLIENTID=1
IB_EVENT_DAEMON_TIMEOUT=4
IB_EVENT_DAEMON_READONLY=False
IB_EVENT_DAEMON_ACCOUNT=
IB_EVENT_DAEMON_RAISESYNCERRORS=False
IB_EVENT_DAEMON_SETUP_PATHS="./example"
```

2. Start the daemon:
```bash
ibkr-daemon start
```

Or with custom logging:
```bash
ibkr-daemon start --log-level DEBUG --log-file logs/daemon.log
```

## Creating Custom Handlers

Handlers are Python modules that process IBKR events. Place your handlers in the directory specified by `IB_EVENT_DAEMON_SETUP_PATHS`.

Example handler for real-time bar data (`example/realtimebar_example.py`):

```python
from ib_async import IB, Forex
from ibkr_event_daemon.core import LoggerType

def setup(ib: IB, logger: LoggerType) -> None:
    usd_jpy = Forex('USDJPY')
    bars = ib.reqRealTimeBars(
        usd_jpy, 
        barSize=5, 
        whatToShow="MIDPOINT", 
        useRTH=True
    )
    bars.updateEvent += onBarUpdate

def onBarUpdate(bars, hasNewBar):
    if hasNewBar:
        print(bars[-1])
```

## Configuration

Configuration can be managed through:
- Environment variables (`.env` file)
- Command-line options
- Configuration commands

Show current configuration:
```bash
ibkr-daemon config show
```

Initialize default configuration:
```bash
ibkr-daemon config init
```

## Process Management

The project includes a `supervisord.conf` for process management. This allows for:
- Automatic restart on failure
- Process monitoring
- Log management

## Development

To run in development mode:

1. Clone the repository
2. Install dependencies:
```bash
pip install -e .
```
3. Create and configure `.env` file:
```bash
ibkr-daemon config init
```
4. Start the daemon:
```bash
python -m ibkr_event_daemon start
```

## License

[MIT License](LICENSE)