semvec/pypi-packages huggingface dataset:
trainwave-cli 0.2.8
Trainwave CLI - A command-line interface for managing Trainwave resources
License: MIT
Requires Python: <4.0,>=3.10
Keywords: cli, trainwave, ai, machine-learning

# Trainwave CLI

A command-line interface for interacting with Trainwave's machine learning platform. This CLI tool provides functionality for managing training jobs, handling authentication, managing secrets, and configuring your Trainwave environment.

## Features

- Job Management: Create, monitor, and manage training jobs
- Authentication: Secure authentication with Trainwave's platform
- Secrets Management: Handle sensitive information for your jobs
- Configuration: Set up and manage your Trainwave environment

## Installation

### Using pip

```bash
pip install trainwave-cli
```

### From Source

1. Clone the repository
2. Install using Poetry:

```bash
poetry install
```

## Usage

The CLI provides several main commands:

```bash
wave jobs     # Manage training jobs
wave auth     # Authenticate with Trainwave
wave config   # Configure your Trainwave environment
wave secrets  # Manage job secrets
```

For detailed help on any command:

```bash
wave --help
wave <command> --help
```

## Development

This project uses Poetry for dependency management and packaging. Here's how to set up your development environment:

### Prerequisites

- Python 3.10 or higher
- Poetry
- Make (for development commands)

### Setting Up Development Environment

1. Clone the repository
2. Install development dependencies:

```bash
make install-dev
```

### Development Commands

The project includes several Make targets to help with development:

- `make install`: Install production dependencies
- `make install-dev`: Install development dependencies
- `make clean`: Remove temporary files and build artifacts
- `make ruff`: Run Ruff linter
- `make format`: Format code using Black and Ruff
- `make check`: Run all code quality checks
- `make test`: Run the test suite
- `make help`: Show available make commands

### Code Style

The project uses:

- Ruff for linting
- Black for code formatting
- Type hints are required for all functions

### Running Tests

```bash
make test
```

Or directly with pytest:

```bash
pytest tests/
```

## Project Structure

```
trainwave-cli/
├── trainwave_cli/     # Main package directory
├── tests/            # Test files
├── example/          # Example configurations and usage
├── pyproject.toml    # Project metadata and dependencies
└── Makefile         # Development automation
```

## Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run tests and linting: `make check`
5. Submit a pull request

## License

[License information here]
glair 1.1
GLAIR - An AI model for Glioblastoma Latent-space Artificial Intelligence Rendering
License: MIT
Requires Python: >=3.9
Keywords: glioblastoma, AI, tumor progression, machine learning, healthcare, tensorflow

# GLAIR: Glioblastoma A.I for developers

GLAIR is a dual-interface deep learning architecture for Glioblastoma rendering. It supports many different models including Generative Variational Autoencoders for time series progression prediction, and convolutional neural networks for tumor classification. As part of our open source mission, this backend serves as a portal for accessing GLAIR's models and architecture through Python. 

## Installation

### Install with pip

```sh

pip install glair

# and run with

import glair

```

This project is licensed under the **MIT LICENSE**
ek-ctp 6.6.7.6
CTP gateway for bothpy quant trading framework.
License: MIT
Requires Python: >=3.7
Keywords: quant, quantitative, investment, trading, algotrading, ctp

## 说明

基于CTP期货版的6.6.7接口封装开发，接口中自带的是【穿透式实盘环境】的dll文件。
由 vnpy_ctp 修改而来

## 打包

```
python setup.py bdist_wheel
```

需要进行C++编译，因此在执行上述命令之前请确保已经安装了【Visual Studio（Windows）】、【GCC（Linux）】、【XCode（Mac）】编译器。

## 发布

先安装一下 twine：

```
python -m pip install twine
twine upload dist/*
```
没有账户去注册一个  https://pypi.org/

## 安装

直接使用pip命令：

```
pip install ek_ctp
```

## 使用

以脚本方式启动（script/run.py）：

```
from bothpy.event import EventEngine
from bothpy.trader.engine import MainEngine
from bothpy.trader.ui import MainWindow, create_qapp

from ek_ctp import CtpGateway


def main():
    """主入口函数"""
    qapp = create_qapp()

    event_engine = EventEngine()
    main_engine = MainEngine(event_engine)
    main_engine.add_gateway(CtpGateway)
  
    main_window = MainWindow(main_engine, event_engine)
    main_window.showMaximized()

    qapp.exec()


if __name__ == "__main__":
    main()
```
gomyck-py-plugins 1.3.1
A tools collection for python development by hao474798383
License: MIT
Requires Python: >=3.9

# Gomyck-Tools

## project

https://github.com/mzxc

## install

This package need python version >= 3.9

```shell
pip install gomyck-tools
```

## usage

```python
from ctools import sys_log
sys_log.clog.info('hello world')
```