semvec/pypi-packages huggingface dataset:
langchain-baseten 0.1.9
An integration package connecting Baseten and LangChain
License: MIT
Requires Python: <4.0.0,>=3.9.0

# langchain-baseten

This package contains the LangChain integration with Baseten.

## Installation

```bash
pip install langchain-baseten
```

The embeddings functionality uses Baseten's Performance Client for optimized performance, which is automatically included as a dependency.

## Chat Models

`ChatBaseten` class exposes chat models from Baseten.

```python
from langchain_baseten import ChatBaseten

# Option 1: Use Model APIs with model slug
model = ChatBaseten(
    model="moonshotai/Kimi-K2-Instruct-0905",  # Choose from available model slugs: https://docs.baseten.co/development/model-apis/overview#supported-models
    api_key="your-api-key",  # Or set BASETEN_API_KEY env var
)

# Option 2: Use dedicated deployments with model url
model = ChatBaseten(
    model_url="https://model-<id>.api.baseten.co/environments/production/predict",
    api_key="your-api-key",  # Or set BASETEN_API_KEY env var
)

# Use the chat model
response = chat.invoke("Hello, how are you?")
```

## Embeddings

`BasetenEmbeddings` class exposes embedding models from Baseten.

```python
from langchain_baseten import BasetenEmbeddings

# Initialize the embeddings model
embeddings = BasetenEmbeddings(
    model_url="https://model-<id>.api.baseten.co/environments/production/sync",  # Your model URL
    api_key="your-api-key",  # Or set BASETEN_API_KEY env var
)

# Embed a single query
query_vector = embeddings.embed_query("What is the meaning of life?")
print(f"Query embedding dimension: {len(query_vector)}")

# Embed documents
vectors = embeddings.embed_documents(["Hello world", "How are you?"])
print(f"Generated {len(vectors)} embeddings of dimension {len(vectors[0])}")
```

## Configuration

You can configure the Baseten integration using environment variables:

- `BASETEN_API_KEY`: Your Baseten API key

## Deployment Options

**Chat Models:**
- **Model APIs**: Use model slugs with shared infrastructure
- **Dedicated URLs**: Use specific model deployments with dedicated resources

**Embeddings:**
- **Dedicated URLs only**: Requires specific model deployment URL for Performance Client optimization

## Supported Models

Baseten supports various models through their OpenAI-compatible API. You can use any model slug available in your Baseten account, or deploy custom models with dedicated URLs.

For more information about available models, visit the [Baseten documentation](https://docs.baseten.co/).
hipopy 2.0.1
UpROOT-Like I/O Interface for CLAS12 HIPO Files
License: MIT
Requires Python: >=3.9.0

# HIPOPy: UpROOT-like I/O Interface for CLAS12 HIPO Files
[![PyPI](https://img.shields.io/pypi/v/hipopy.svg)](https://pypi.org/project/hipopy/)
[![Python](https://github.com/mfmceneaney/hipopy/actions/workflows/python.yml/badge.svg)](https://github.com/mfmceneaney/hipopy/actions/workflows/python.yml)

This package provides an easy python interface for interacting with data stored in CLAS12 [hipo](https://github.com/gavalian/hipo.git) files.

## Prerequisites

* python>=3.9
* compiler with C++17 support
* pip

If you are installing from source *without a package manager* you will also need to install the project dependencies listed in [pyproject.toml](https://github.com/mfmceneaney/hipopy/blob/main/pyproject.toml).

## Installation

To install with pip:
```bash
pip install hipopy
```

To install from source:
```bash
git clone https://github.com/mfmceneaney/hipopy.git
cd hipopy
pip install .
```

## Getting Started

Check out the example scripts in `tutorials`.  More functionality coming soon!

## Documentation

Full documentation available on [Read the Docs](https://hipopy.readthedocs.io/en/latest/index.html)!

#

Contact: matthew.mceneaney@duke.edu
hentailib 1.0.1
Library for easy requests hentai sites
License: MIT
Requires Python: >=3.9
Keywords: hentai, requests, rule34

# Placeholder for now
[![CodeFactor](https://www.codefactor.io/repository/github/serjo2/hentailibbadge)](https://www.codefactor.io/repository/github/serjo2/hentailib)

# 🎓 Hentailib

[![Python 3.9+](https://img.shields.io/badge/python-3.9+-blue.svg)](https://www.python.org/downloads/)
[![Licence: MIT](https://img.shields.io/badge/Лицензия-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Version PyPI](https://img.shields.io/pypi/v/hentailib.svg)](https://pypi.org/project/hentailib/)
[![Download PyPI](https://img.shields.io/pypi/dm/hentailib.svg)](https://pypi.org/project/hentailib/)
English | [Russian](https://github.com/SerJo2/hentailib-lib/blob/master/README.ru.md)

A Python library for easy access and manipulation of hentai Sites

## ✨ Features

- 🚀 Simple and intuitive API
- 📅 Get random page or page by id from Rule34
- 🛡️ Full type annotations and error handling
- 📚 Comprehensive documentation
- ✨ Automatically autocomplete tags

## 📦 Installation

```bash
pip install hentailib
```

## 🚀 Quick Start
Get random page picture url
```python
from hentailib import Rule34Api

# set up client
client = Rule34Api("YOUR_API_HERE", "YOUR_USER_ID_HERE")

# get random page
response = client.utils.get_random_page("hu_tao")

# print url
print(response.url)
```
Get page by id
```python
from hentailib import Rule34Api

# set up client
client = Rule34Api("YOUR_API_HERE", "YOUR_USER_ID_HERE")

# get random page
response = client.get_title(15220657)

# print url
print(response.url)
```

## 🐛 Bug Reports and Issues
If you find a bug or have a feature request, please create an issue on GitHub.

## 🤝 Development
Development Installation
```bash
git clone https://github.com/SerJo2/hentailib.git
cd hentailib
```
Running Tests
```bash
pytest tests/ -v
```
## 📄 License
This project is licensed under the MIT License. See the [LICENSE](https://github.com/SerJo2/hentailib-lib/blob/master/LICENSE) file for details.

## 👨‍💻 Author
#### Onii-Chan
- Email: skobochki.ad@mail.ru
- GitHub: [SerJo2](https://github.com/SerJo2)
## ⭐ If this project helped you, please give it a star on GitHub!
itermonkey 2025.11.3.2
A collection of Python utilities for lists, sets, dictionaries, and graphs.
License: MIT
Requires Python: >=3.9
Keywords: python, utilities, data structures, algorithms, lists, sets, dictionaries, graphs

# 🧰 itermonkey

A collection of nifty Python utilities for manipulating lists, sets, dictionaries, and simple networks — including sorting algorithms, correlation metrics, and pathfinding helpers.

## Installation

For all users (regardless of OS):
```bash
pip install itermonkey
```