semvec/pypi-packages huggingface dataset:
normaldistrib 1.0.1
Generate symmetric and asymmetric normal distributions
Requires Python: >=3.7

# normaldistrib

[![CI](https://github.com/microfluidica/normaldistrib/actions/workflows/ci.yml/badge.svg)](https://github.com/microfluidica/normaldistrib/actions/workflows/ci.yml)
[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
[![uv](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json)](https://github.com/astral-sh/uv)
[![Publish](https://github.com/microfluidica/normaldistrib/actions/workflows/pypi-publish.yml/badge.svg)](https://github.com/microfluidica/normaldistrib/actions/workflows/pypi-publish.yml)
[![PyPI](https://img.shields.io/pypi/v/normaldistrib)](https://pypi.org/project/normaldistrib/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/normaldistrib)](https://pypi.org/project/normaldistrib/)

Generate symmetric and asymmetric normal distributions.

## Installation

Install with [pip](https://pip.pypa.io/en/stable/):

```bash
pip install normaldistrib
```

## Usage

See [`normaldistrib.py`](normaldistrib.py) for the available functions.
iflow-mcp_pubmed-search 0.1.0
search pubmed via MCP
Requires Python: >=3.11

# pubmed_search MCP server

search pubmed via MCP

## Components

### Resources

The server implements a simple note storage system with:
- Custom note:// URI scheme for accessing individual notes
- Each note resource has a name, description and text/plain mimetype

### Prompts

The server provides a single prompt:
- summarize-notes: Creates summaries of all stored notes
  - Optional "style" argument to control detail level (brief/detailed)
  - Generates prompt combining all current notes with style preference

### Tools

The server implements one tool:
- add-note: Adds a new note to the server
  - Takes "name" and "content" as required string arguments
  - Updates server state and notifies clients of resource changes

## Configuration

[TODO: Add configuration details specific to your implementation]

## Quickstart

### Install

#### Claude Desktop

On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

<details>
  <summary>Development/Unpublished Servers Configuration</summary>
  ```
  "mcpServers": {
    "pubmed_search": {
      "command": "uv",
      "args": [
        "--directory",
        "/Users/nofuture/Documents/GitHub/pubmed_search",
        "run",
        "pubmed_search"
      ]
    }
  }
  ```
</details>

<details>
  <summary>Published Servers Configuration</summary>
  ```
  "mcpServers": {
    "pubmed_search": {
      "command": "uvx",
      "args": [
        "pubmed_search"
      ]
    }
  }
  ```
</details>

## Development

### Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:
```bash
uv sync
```

2. Build package distributions:
```bash
uv build
```

This will create source and wheel distributions in the `dist/` directory.

3. Publish to PyPI:
```bash
uv publish
```

Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token: `--token` or `UV_PUBLISH_TOKEN`
- Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`

### Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).


You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:

```bash
npx @modelcontextprotocol/inspector uv --directory /Users/nofuture/Documents/GitHub/pubmed_search run pubmed-search
```


Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
aa-top 1.1.1
Alliance Auth Resource Monitor
Requires Python: >=3.10
Keywords: allianceauth, eveonline

# AA "Top"

System Utilization and AA Statistics plugin for [Alliance Auth](https://gitlab.com/allianceauth/allianceauth/).

Inspired by <https://zkillboard.com/ztop/> by Squizz Caphinator

## Features

Resource Monitor
Celery Jobs in Queue

Diff of last update

## Planned Features

## Installation

### Step 2 - Install app

```shell
pip install aa-top
```

### Step 3 - Configure Auth settings

Configure your Auth settings (`local.py`) as follows:

- Add `'top'` to `INSTALLED_APPS`
- Add below lines to your settings file:

```python
## Settings for AA-Top
# Update aatop.txt
CELERYBEAT_SCHEDULE['top_update_aa_top_txt'] = {
    'task': 'top.tasks.update_aa_top_txt',
    'schedule': crontab(minute='*'),
}
```

### Step 4 - Maintain Alliance Auth

- Run migrations `python manage.py migrate`
- Gather your staticfiles `python manage.py collectstatic`
- Restart your project `supervisorctl restart myauth:`

- Add file permissions `setfacl -m u:allianceserver:rw /var/www/myauth/static/top/aatop.txt`

## Permissions

| Perm         | Admin Site | Perm                                 | Description |
| ------------ | ---------- | ------------------------------------ | ----------- |
| basic_access | nill       | Can access the web view for this app | -           |

## Settings

| Name | Description | Default |
| ---- | ----------- | ------- |

## Contributing

Make sure you have signed the [License Agreement](https://developers.eveonline.com/resource/license-agreement) by logging in at <https://developers.eveonline.com> before submitting any pull requests. All bug fixes or features must not include extra superfluous formatting changes.
mutax 0.4.4
Evolutionary optimization algorithms in JAX
Requires Python: >=3.10

<div align="center">
  <a href="https://github.com/gerlero/mutax"><img src="https://raw.githubusercontent.com/gerlero/mutax/main/logo.png" alt="Mutax" width="200"/></a>

  **[SciPy-like](https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.differential_evolution.html) differential evolution for [JAX](https://github.com/jax-ml/jax)**

  Fully [jitted](https://docs.jax.dev/en/latest/_autosummary/jax.jit.html#jax.jit) optimization of any JAX-compatible function. Serial and parallel execution on CPU, GPU, and TPU.

  [![Documentation](https://img.shields.io/readthedocs/mutax)](https://mutax.readthedocs.io/)
  [![CI](https://github.com/gerlero/mutax/actions/workflows/ci.yml/badge.svg)](https://github.com/gerlero/mutax/actions/workflows/ci.yml)
  [![Codecov](https://codecov.io/gh/gerlero/mutax/branch/main/graph/badge.svg)](https://codecov.io/gh/gerlero/mutax)
  [![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
  [![ty](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ty/main/assets/badge/v0.json)](https://github.com/astral-sh/ty)
  [![uv](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json)](https://github.com/astral-sh/uv)
  [![Publish](https://github.com/gerlero/mutax/actions/workflows/pypi-publish.yml/badge.svg)](https://github.com/gerlero/mutax/actions/workflows/pypi-publish.yml)
  [![PyPI](https://img.shields.io/pypi/v/mutax)](https://pypi.org/project/mutax/)
  [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/mutax)](https://pypi.org/project/mutax/)
</div>

## Installation

```bash
pip install mutax
```

## Quick start

```python
import jax.numpy as jnp
from mutax import differential_evolution

def cost_function(x):
    return jnp.sum(x**2)

bounds = [(-5, 5)] * 10  # 10-dimensional problem with bounds for each dimension

result = differential_evolution(cost_function, bounds)
print("Best solution:", result.x)
print("Objective value:", result.fun)
```

## Documentation

The documentation is available at [Read the Docs](https://mutax.readthedocs.io/).