semvec/pypi-packages huggingface dataset:
livechat-webservice 0.1.10
Webservice client for LiveChat API
License: MIT
Requires Python: >=3.12
Keywords: livechat, api, client, webservice, chat

# LiveChat Webservice

A Python client library for the LiveChat API v3.6.
WIP, as of yet untested
## Features

- Connect to LiveChat API
- Retrieve closed chat threads
- Extract phone numbers from chats
- Manage chat tags
- Get chat events and metadata

## Installation

See [INSTALLATION.md](docs/INSTALLATION.md)

## Usage

See [USAGE.md](docs/USAGE.md)

## License

MIT
wafer-core 0.1.0
Core utilities and environments for Wafer GPU kernel optimization
License: MIT
Requires Python: >=3.10
Keywords: compiler, cuda, gpu, kernel, optimization

# wafer-core

Core utilities and environments for Wafer GPU kernel optimization.

## Features

- **CUDA Compilation Tools**: Compile CUDA files to PTX/SASS, detect GPU architecture
- **Tool Finding**: Locate CUDA toolkit executables (nvcc, nvdisasm)
- **Telemetry**: Decorator-based telemetry system with hooks
- **Environments**: GPU kernel optimization environments
- **Remote Execution**: SSH and Modal-based remote GPU execution
- **Sessions**: Agent session management
- **Logging**: Structured logging with color and JSON formatters

## Installation

```bash
pip install wafer-core
```

**Note**: For full functionality including environments and sessions, you may also need to install `rollouts`:
```bash
pip install git+https://github.com/arb8020/research.git#subdirectory=rollouts
```

The core tools (CUDA compilation, tool finding, telemetry) work without rollouts.

## Quick Start

```python
from wafer_core import compile_cuda, detect_arch, find_nvcc

# Detect GPU architecture
arch_info = detect_arch()
print(f"Detected architecture: {arch_info['arch']}")

# Compile CUDA file
result = compile_cuda("kernel.cu", arch="sm_90")
print(f"PTX: {result.ptx}")
print(f"SASS: {result.sass}")

# Find nvcc
nvcc_path = find_nvcc()
if nvcc_path:
    print(f"Found nvcc at: {nvcc_path}")
```

## Documentation

See the [Wafer documentation](https://wafer.dev/docs) for more information.

## License

MIT License
my-simple-lib-mooshiri-2025 0.1.0
Super simple educational Python library with two subpackages.
License: MIT
Requires Python: >=3.10

# my_simple_lib

Educational Python library with two subpackages:
- `math_tools`
- `text_tools`

## Requirements
- Python 3.10+

## Install
```bash
pip install my-simple-lib-mooshiri-2025
```

## Usage
```python
from my_simple_lib.math_tools import add, mean
from my_simple_lib.text_tools import normalize_spaces, make_slug

print(add(2, 3))                              # 5
print(mean([1, 2, 3]))                        # 2.0
print(normalize_spaces("  hello   world "))   # "hello world"
print(make_slug("Hello, World!"))             # "hello-world"
```

## Run tests (for developers)
```bash
pip install -U pip
pip install pytest
pytest
```

## Build package (for developers)
```bash
pip install build
python -m build
```

## Upload to TestPyPI (for developers)
```bash
pip install twine
twine upload --repository testpypi dist/*
```

## Upload to PyPI (for developers)
```bash
pip install twine
twine upload dist/*
```