semvec/pypi-packages huggingface dataset:
azcex 0.1.0
Add your description here
Requires Python: >=3.12
Keywords: python cex libs, cex, Python Centralized Crypto Exchange Libs

# azcex

- CEX = Centralized Crypto Exchange(中心化数字货币交易所)

## Install

```bash
pip install azcex

# or
uv add azcex
```

## Exchanges

> cn 🇨🇳

- ✅ [Binance](https://www.binance.com/)
- ❎ [OKX](https://www.okx.com/)
- ❎ [Bitget](https://www.bitget.com/)
- ❎ [Bybit](https://www.bybit.com/)
- ❎ [Huobi](https://www.huobi.com/)
- ❎ [Gate.io](https://www.gate.io/)

> us 🇺🇸

- ❎ [Coinbase](https://www.coinbase.com/)
- ❎ [Bitfinex](https://www.bitfinex.com/)
- ❎ [Kraken](https://www.kraken.com/)
- ❎ [Gemini](https://www.gemini.com/)
- ❎ [Bitstamp](https://www.bitstamp.net/)
- ✅ [Poloniex](https://www.poloniex.com/)
- ✅ [BitMEX](https://www.bitmex.com/)
- ✅ [FTX](https://ftx.com/)
- ✅ [KuCoin](https://www.kucoin.com/)
pyrdms 0.2.0
Python remote domain model server for d0sl core
Requires Python: <4.0,>=3.10

# Python D0SL RDM server

Python remote domain model server


## Example usage

Without decorating: (`some_method` will be exposed as method of "domain model" `NonDecoratedClass`)
```python
from pyrdms import predicate, serve

class NonDecoratedDSL:
    def __init__(self):
        pass

    def a_plus_b_plus_c_plus_d(self, a: int, b: int, c: int, d: int) -> int:
        return a + b + c + d

serve(50051, NonDecoratedDSL=NonDecoratedDSL())
```

With decorators: (`some_method` will be exposed as method of "domain model" `NonDecoratedClass`, `some_other_method` - will NOT be exposed)
```python
from pyrdms import predicate, serve

class DecoratedClass:
    def __init__(self):
        pass
    
    @predicate
    def some_method(self, a: int, b: bool, c: str, d: list) -> bool:
        return True
    
    def some_other_method(self, a: int, b: bool, c: str, d: list) -> bool:
        return True

serve(50051, DecoratedClass=DecoratedClass())
```

### Use as client

Call predicate `start` in model `SomeModel`:
```bash
python3 -m pyrdms -a localhost -c --call SomeModel.start:
```

Call function `start` in model `SomeModel`:
```bash
python3 -m pyrdms -a localhost -c --call SomeModel.start:
```
myfaasmctl 0.1.18
Command line tool to deploy, manage, and interact with Faasm
Requires Python: >=3.7

# Faasm CTL [![Tests](https://github.com/faasm/faasmctl/actions/workflows/tests.yml/badge.svg?branch=main)](https://github.com/faasm/faasmctl/actions/workflows/tests.yml) ![PyPI](https://img.shields.io/pypi/v/faasmctl)

`faasmctl` is a command line script to deploy, manage, and interact with a
running [Faasm](https://github.com/faasm/faasm) cluster.

## Install

To install `faasmctl` you need a working `pip` (virtual-)environment. Then:

```bash
pip install faasmctl==0.43.0
```

## Usage

`faasmctl` aggregates tasks related to deploying, managing, and interacting
with running Faasm clusters. You can list all the available tasks with a
short description using:

```bash
faasmctl -l
```

## Further Reading

For any further reading, check the [`docs`](./docs) directory.
apollo-openapi 0.0.1
Apollo OpenAPI
Keywords: OpenAPI, OpenAPI-Generator, Apollo OpenAPI

    Apollo配置中心OpenAPI接口文档  ## 认证方式  所有API接口都需要通过Authorization header进行身份验证。  ### 获取Token的方式：  1. **Portal管理界面获取**：    - 登录Apollo Portal管理界面    - 进入\&quot;管理员工具\&quot; -&gt; \&quot;开放平台授权管理\&quot;    - 创建第三方应用，获取Token  2. **Token格式**：    &#x60;&#x60;&#x60;    Authorization: token_value    &#x60;&#x60;&#x60;  3. **Token权限**：    - Token具有对应应用的读写权限    - 不同Token可能有不同的环境和命名空间权限    - 建议为不同用途创建不同的Token  ### 使用示例： &#x60;&#x60;&#x60;bash curl -X GET \&quot;http://localhost:8070/openapi/v1/apps\&quot; \      -H \&quot;Authorization: your_token_here\&quot; &#x60;&#x60;&#x60;
jason-plugin-emoji-sentence 0.1.5
This is a add emoji to sentence function
Requires Python: >=3.10

# Jason Plugin Emoji Sentence

## 项目描述

Jason Plugin Emoji Sentence 是一个基于 MCP（Model Context Protocol）服务功能的项目，旨在通过插件化的方式为文本添加表情符号，从而增强用户的表达效果。该项目提供了灵活的接口，便于集成到各种应用场景中。

## 功能特点
- 支持多种表情符号的自动匹配和插入。
- 提供简单易用的 API 接口。
- 高效的文本处理能力，适用于实时场景。
- 可扩展的插件架构，便于功能扩展。

## 使用场景
- 聊天应用：为用户的消息自动添加表情符号。
- 内容创作：增强文本内容的趣味性和表现力。
- 教育工具：通过表情符号辅助教学内容的理解。

## 安装与使用

### 安装
添加mcp配置到你的client端：
```
{
  "mcpServers": {
    "TnWxvFDryLfdwDpThAubl": {
      "name": "句子加表情功能",
      "type": "stdio",
      "description": "",
      "isActive": true,
      "registryUrl": "",
      "command": "uvx",
      "args": [
        "jason-plugin-emoji-sentence"
      ]
    }
  }
}
```

## 贡献
欢迎提交 Issue 和 Pull Request 来改进本项目。
ingrain 0.2.3
Python client for the ingrain server
Requires Python: >=3.11

# Ingrain Python Client

[![PyPI Version](https://img.shields.io/pypi/v/ingrain)](https://pypi.org/project/ingrain/)
![Test Status](https://github.com/OwenPendrighElliott/py-ingrain/actions/workflows/test.yml/badge.svg)

This is the Python client for the Ingrain API. It provides a simple interface to interact with the Ingrain API.

## Install
    
```bash
pip install ingrain
```

## Dev Setup
```bash
uv sync --dev
```

### Testing

#### Unit tests

```bash
uv run pytest
```

#### Integration tests and unit tests

This requires that Ingrain Server is running. You can start it with Docker Compose:

```yml
services:
  ingrain-models:
    image: owenpelliott/ingrain-models:latest
    container_name: ingrain-models
    ports:
      - "8687:8687"
    environment:
      - TRITON_GRPC_URL=triton:8001
      - MAX_BATCH_SIZE=16
      - MODEL_INSTANCES=1
      - INSTANCE_KIND=KIND_GPU # Change to KIND_CPU if using a CPU
    depends_on:
      - triton
    volumes:
      - ./model_repository:/app/model_repository 
      - ${HOME}/.cache/huggingface:/app/model_cache/
  ingrain-inference:
    image: owenpelliott/ingrain-inference:latest
    container_name: ingrain-inference
    ports:
      - "8686:8686"
    environment:
      - TRITON_GRPC_URL=triton:8001
    depends_on:
      - triton
    volumes:
      - ./model_repository:/app/model_repository 
  triton:
    image: nvcr.io/nvidia/tritonserver:25.06-py3
    container_name: triton
    runtime: nvidia # Remove if using a CPU
    environment:
      - NVIDIA_VISIBLE_DEVICES=all
    shm_size: "256m"
    command: >
      tritonserver
      --model-repository=/models
      --model-control-mode=explicit
    ports:
      - "8000:8000"
      - "8001:8001"
      - "8002:8002"
    volumes:
      - ./model_repository:/models
    restart:
      unless-stopped
```

```bash
uv run pytest --integration
```