semvec/pypi-packages huggingface dataset:
galleryserver 1.0.0
A modern local image gallery server with thumbnails and modal viewer
License: MIT
Requires Python: >=3.8

# GalleryServer

A simple image gallery server.

## Installation

Install GalleryServer directly or from the GitHub repository using pip:

```bash
pip install galleryserver
```

or 

```bash
pip install git+https://github.com/vinojhosan/galleryserver.git
```



## Usage

After installation, run the server with:

```bash
galleryserver [PORT] [OPTIONS]
```

- `PORT` (optional): Port to serve on (default: `8000`).

### Arguments

| Argument / Option           | Description                                   | Default              |
|----------------------------|-----------------------------------------------|----------------------|
| `PORT`                     | Port to serve on                              | `8000`               |
| `--thumbnail-size`         | Thumbnail size in pixels                      | `200`                |
| `--directory`, `-d`        | Directory to serve                            | Current directory (`.`) |

### Example

```bash
galleryserver 12345 -d /path/to/images --thumbnail-size 300 
```


---

## 🚀 Features

### 🖼 Modern Thumbnail Gallery
- Auto-generated thumbnails (fast + cached)
- Responsive grid layout
- Smooth fade-in animations
- Works on mobile and desktop

### 🔍 Full Image Viewer (Modal)
- Click image → opens large preview
- Double-click → opens original image in new tab
- Navigate using:
  - **← / →** arrow keys  
  - **Swipe left/right** (mobile)
  - On-screen Prev/Next buttons

### 🔎 Advanced Zoom & Pan
- Mouse wheel zoom
- Drag to pan
- Pinch-to-zoom (mobile)
- Double-tap zoom
- Reset zoom button

### 🎞 Slideshow Mode
- Auto-play slideshow
- Play/Pause toggle
- Spacebar toggles slideshow

### 🖥 Fullscreen Mode
- Click image to toggle fullscreen
- Clean, immersive view

---

🤝 Contributing

Pull requests and suggestions are welcome!

⭐ Support the Project

If you like this project, please ⭐ star it on GitHub:

https://github.com/vinojhosan/galleryserver


## 📝 License

This project is open-source and available under the MIT License.  
See the [LICENSE](LICENSE) file for details.
py-exp-calc 1.2.0
Python package for amplifying operations on main Python data structures.
License: MIT

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|

===========
py_exp_calc
===========


    Python package for amplifying operations on main Python data structures.


First, this package can enhance operations on various data structures such as lists, numpy arrays, and dictionaries. It allows not only an increase in the available operations within these data structures but also conversion between them. Some of the main operations are:

* Lists: Flattening, ensuring unique elements (uniq), adding tags to list elements and performing set operations such as intersection, union, and difference between lists.
* Dictionaries: Enhanced operations for nested dictionaries, such as the dig method from Ruby, addition and removal of key-value pairs and expanding dictionaries by adding values in list format.
* Numpy arrays: Matrix normalization and filtering.

Secondly, advanced data analysis operations have been added to the toolkit, including statistical analysis and clustering. To facilitate these operations, two command-line interfaces (CLIs) have been designed:

* clusterize: Applies hierarchical clustering to a given matrix.
* inference_analyzer: Executes inference analysis on a set of n observations divided into m categories.