semvec/pypi-packages huggingface dataset:
new-port-checker 1.0.4
A Python tool for checking port availability
Requires Python: >=3.6

# new_port_checker
        
        `new_port_checker` 是一个用于检查端口可用性的 Python 工具，支持单个端口和批量端口检查。
        
        ## 安装
        ### 从 PyPI 安装
        ```bash
        pip install new_port_checker
        git clone <仓库地址>
        cd d:\文稿\shiguanghome
        python port_checker.py 8080 --protocol tcp --host 127.0.0.1
gradient-mechanics 0.0.4
Accelerated deep learning.
Requires Python: >=3.10

# Gradient Mechanics

## Benchmarks

### HuggingFace Image Dataset

```sh
uv run python src/tests/benchmark_huggingface_images.py
```

### Video Dataset

```sh
uv run python src/tests/benchmark_video_dataset.py data/humming_bird_1s.mp4
```

## Transcoding

### Keyframes Only

```sh
ffmpeg -i data/humming_bird_1s.mp4 -c:v libx264 -x264-params keyint=1:scenecut=0 -crf 18 data/humming_bird_1s_keyframes_only.mp4
```

### Inspect Encoding

```sh
ffprobe -loglevel error -select_streams v:0 -show_entries frame=pict_type -of default=noprint_wrappers=1 data/humming_bird_1s_keyframes_only.mp4
```

Terminology:

* I-frame is a key frame. Decoding a keyframe is not dependent on other frames.
* P-frame is a predicted frame. It is dependent on an preceding frame.
* B-frame is a bi-directional predicted frame. It depends on a preceding and a succeeding frame.
nathalie-test-mcp-opensearch 0.1.0
Add your description here
Requires Python: >=3.10

### OpenSearch MCP Server (stdio)
A minimal Model Context Protocol (MCP) server for OpenSearch exposing a single list_indices tool over stdio.

## Development Notes:

1. Create & activate a virtual environment
```
uv venv 
source .venv/bin/activate
```

2. Install dependencies

```
uv sync # to install dependencies from uv.lock
```

To manually add new dependencies:
```
uv add <package-name>
```

Note, this adds updates the pyproject.toml, uv.lock, and installs in virtual environment

3. Manual updates

If you modify pyproject.toml manually:

```
uv lock 
uv sync
```

## Running the Stdio Server
```
uv run python -m mcp_server_opensearch 
```

## Running the SSE Server
```
uv run python -m mcp_server_opensearch --transport sse
```

## Available tool
- list_indices: Lists all indices in OpenSearch.
- get_index_mapping: Gets the mapping for specified index.
- search_index: Searches an index using a query.
- get_shards: Gets information about shards in OpenSearch cluster.

> More tools coming soon

### To add the Local clone to Claude desktop with basic authentication:
```
{
    "mcpServers": {
        "opensearch-mcp-server": {
            "command": "/opt/homebrew/bin/uv", #I mentioned path to uv, ideally uv is enough
            "args": [
                "--directory",
                "path/to/the/clone/mcp-server",
                "run",
                "--",
                "python",
                "-m",
                "mcp_server_opensearch"
            ],
            "env": {
                "OPENSEARCH_URL": "<your_opensearch_domain_url>",
                "OPENSEARCH_USERNAME": "<your_opensearch_domain_username>",
                "OPENSEARCH_PASSWORD": "<your_opensearch_domain_password>"
            }
        }
    }
}

```

### To add the Local clone to Claude desktop with IAM Role authentication:
```
{
    "mcpServers": {
        "opensearch-mcp-server": {
            "command": "/opt/homebrew/bin/uv", #I mentioned path to uv, ideally uv is enough
            "args": [
                "--directory",
                "path/to/the/clone/mcp-server",
                "run",
                "--",
                "python",
                "-m",
                "mcp_server_opensearch"
            ],
            "env": {
                "OPENSEARCH_URL": "<your_opensearch_domain_url>",
                "AWS_REGION": "<your_aws_region>",
                "AWS_ACCESS_KEY": "<your_aws_access_key>",
                "AWS_SECRET_ACCESS_KEY": "<your_aws_secret_access_key>",
                "AWS_SESSION_TOKEN": "<your_aws_session_token>",
            }
        }
    }
}
```