semvec/pypi-packages huggingface dataset:
mlsys-graph 0.1.0
A package for graph capture functionality
Requires Python: >=3.6

# MyPackage

This package provides functionality for CUDA Graph capturing in PyTorch. It includes a warm-up function and CUDA Graph capture function to optimize inference execution.

## Installation

To install this package, run the following command:

```sh
pip install graph_mlsys
```

Or install from the local build:

```sh
pip install dist/graph_mlsys-0.1.0-py3-none-any.whl
```

## Usage

```python
import torch
from graph_mlsys.graph_capture import get_graph

model = torch.nn.Linear(10, 10).cuda()
input_tensor = torch.randn(1, 10).cuda()

graph, static_output = get_graph(model, input_tensor)
```

## License

This project is licensed under the MIT License.
jexchange-mcp-server 0.1.0
一个提供实时全球货币汇率查询功能的模型上下文协议（Model Context Protocol）服务器。该服务器使大型语言模型（LLMs）能够获取实时货币汇率情况。
Requires Python: >=3.10

# Juhe Exchange Rates MCP Server

一个提供实时全球货币汇率查询功能的模型上下文协议（Model Context Protocol）服务器。该服务器使大型语言模型（LLMs）能够获取实时货币汇率情况。

## Components

### Tools

服务器实现了一个工具:

- query_exchange_rates: 根据货币的三位字母代码查询两者之间的兑换汇率
  - 需要传入 "from_code"（货币的三位字母货币代码）作为必须的字符串参数。
  - 需要传入 "to_code"（货币的三位字母货币代码）作为必须的字符串参数。
```
async def query_exchange_rates(
    from_code: str = Field(description="您希望转换的货币的三位字母货币代码。如：CNY"),
    to_code : str = Field(description="您希望转换为目标货币的三位字母货币代码。如：USD")
) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]:
```


## Install
This server requires Python 3.10 or higher. Install dependencies using uv (recommended) or pip

### Using uv (recommended)
When using [uv](https://docs.astral.sh/uv/) no specific installation is needed. We will use [uvx](https://docs.astral.sh/uv/guides/tools/) to directly run jexchange-mcp-server.

```bash
uvx jexchange-mcp-server
```

### Using PIP
Alternatively you can install jexchange-mcp-server via pip:
```
pip install jexchange-mcp-server
```
After installation, you can run it as a script using:
```
python -m jexchange_mcp_server
```

### Configuration

#### Environment Variables
`JUHE_EXCHANGE_API_KEY`: 聚合数据的天气预报查询API密钥。获取：[https://www.juhe.cn/docs/api/id/73](https://www.juhe.cn/docs/api/id/73)

```
JUHE_EXCHANGE_API_KEY=your_api_key
```

#### Configure For CLINE

<details>
  <summary>Using uvx</summary>

  ```
  "mcpServers": {
    "jexchange-mcp-server": {
      "command": "uvx",
      "args": [
        "jexchange-mcp-server"
      ],
      "env": {
        "JUHE_EXCHANGE_API_KEY": "your_api_key"
      }
    }
  }
  ```
</details>

<details>
  <summary>Using pip installation</summary>

  ```
  "mcpServers": {
    "jexchange-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "jmobile_location_mcp_server"
      ],
      "env": {
        "JUHE_EXCHANGE_API_KEY": "your_api_key"
      }
    }
  }
  ```
</details>

## Debugging
You can use the MCP inspector to debug the server. For uvx installations:

```bash
npx @modelcontextprotocol/inspector uvx jexchange-mcp-server 
```

Or if you've installed the package in a specific directory or are developing on it:

```bash
cd path/to/servers/src/jexchange-mcp-server
npx @modelcontextprotocol/inspector uv run jexchange-mcp-server
```

## Examples of Questions for Cline
1. "查询下苏州的天气"
2. "今天上海的天气如何？"
cloud-base-cli 0.7.4
Cloud Base ClI App for LZ
Requires Python: <4.0,>=3.10

# cloud-base-cli

Cloud Base CLI App for LZ

# Usage

* Install `pip install cloud-base-cli --upgrade`
* Use Cloud-App-Prod credentials: AWS SSO  needed to get secrets
* Create a new Cloud Base Repo with `cloud-base-cli multi project_name parent_group_id`
    - `parent_group_id` is the company group ID, e.g., https://gitlab.com/groups/stratpoint/atc/-/edit Group ID: 308
* Example:
    - `cloud-base-cli single 308` for single account
    - `cloud-base-cli multi 308` fow multi account
* For help:
    - `cloud-base-cli --help`
    - `cloud-base-cli single --help`



## Requirements

* Python 3.10 or greater.
* Pipx (install [instructions](https://pipx.pypa.io/stable/installation)).

## Installation

* Install `poetry` using `pipx install poetry`.

## Getting started to develop

After template created following steps gets you ups and running with the working cli app.

* Create a virtual enviroment with `python3 -m venv venv` and active it using `source venv/bin/activate`
* Go to project directory and run `pip install -r requirements.txt`
* run `poetry install`
* Run `pre-commit install` to install git hooks.
* Run `cloud-base-cli --help`  run cli.
* Run tests with `pytest`


## Architecture Diagram

![Architecture](cloud-base-cli.drawio.png)