semvec/pypi-packages huggingface dataset:
crop-video 0.0.1
Cut video based on moviepy
License: MIT
Requires Python: >=3.6,<3.12
Keywords: moviepy,crop_video

#### Installation
```bash
pip install crop_video
```

#### Use by CLI
```bash
# video_path start_time end_time save_path
$ crop_video 1.mp4 00:00:00 00:00:20 result.mp4
```

#### Use by python
```python
from crop_video import CropVideo

cutter = CropVideo()

video_path = "tests/test_files/1.mp4"
cutter(video_path, "00:00:00", "00:00:10", "output/2.mp4")
```
wallverse 0.1.0
Random Topic Based Quotations as Your Wallpaper
License: MIT
Requires Python: >=3.10
Keywords: wallpaper,quotes,multiplatform,desktop customization,motivational,wisdom,funny

<div align="center">
    <h1>Random Topic Based Quotations as Your Wallpaper</h1>
</div>
With WallVerse you can set different chunks of texts as your wallpaper. There is a textbox for adding your own quotations, jokes, or poetry, or you can download and add "Quotation Packs" that cover different topics.
<div align="center">
  <img src="https://github.com/aref-dev/WallVerse/assets/69017077/de77ca54-1088-4a48-985d-b3df50dc4cba" width="450" alt="Your Image Alt Text">
</div>

<!-- PyPI -->



### Output example:
</br>
<div align="center">
    
<img src="https://github.com/aref-dev/WallVerse/assets/69017077/650b1039-cee4-4e09-beee-716eb5b35f37" width="700" alt="Your Image Alt Text">

</div>
</br>

## Features
- Works with Windows, MacOS, and Linux (GNOME)
- Option to start with the OS
- Automatic dark-mode switching
- Different text-color, background-color, or background-image for dark-mode and light-mode
- Adjustable font style and size
- System tray icon
- Refresh wallpaper at set intervals
</br>

## Using the textbox
Different texts need to be seperated with %. Keep in mind that the textbox does not detect escape characters. If you need a newline character, or a tab charcter, simply use tab or enter.
</br>

## Quotation packs
You can find datastore files that contain quotations, jokes, or poetry on GitHub and other sites. But they need to have the following formatting to work with WallVerse:
<pre>
{
    "Name": "Random Rumi", 
    "Description": "Rumi Quotes To Give You A More Positive Outlook On Life",
    "Quotes": ["Raise your words, not voice. It is rain that grows flowers, not thunder.", "The wound is the place where the Light enters you."]
}
</pre>
Unlike the textbox, the Quotes list in the JSON file can detect escape characters.
</br>
If you are using Python, I suggest using textwrap for all elements in your list to limit the width of your quotations.
</br></br></br></br>
simple-mamba 0.0.4
Simple Mambda - Pytorch
License: MIT
Requires Python: >=3.6,<4.0
Keywords: artificial intelligence,deep learning,optimizers,Prompt Engineering

[![Multi-Modality](agorabanner.png)](https://discord.gg/qUtxnK2NMf)

# Simple Mamba

## Install
`pip install simple-mamba`


## Usage
```python
import torch
from simple_mamba import MambaBlock


# Define block parameters
dim = 512
hidden_dim = 128
heads = 8
in_channels = 3
out_channels = 3
kernel_size = 3

# Create an instance of MambaBlock
mamba_block = MambaBlock(
    dim, hidden_dim, heads, in_channels, out_channels, kernel_size
)

# Create a sample input tensor
x = torch.randn(1, dim, dim)

# Pass the tensor through the MambaBlock
output = mamba_block(x)
print("Output shape:", output.shape)


```

### `SSM`
```python
import torch 
from simple_mamba import SSM


# # Example usage
vocab_size = 10000  # Example vocabulary size
embed_dim = 256  # Example embedding dimension
state_dim = 512  # State dimension
num_layers = 2  # Number of state-space layers

model = SSM(vocab_size, embed_dim, state_dim, num_layers)

# Example input (sequence of word indices)
input_seq = torch.randint(
     0, vocab_size, (32, 10)
 )  # Batch size of 32, sequence length of 10

 # Forward pass
logits = model(input_seq)
print(logits.shape)  # Should be [32, 10, vocab_size]

```


# License
MIT


# Citation
```bibtex
@misc{gu2023mamba,
    title={Mamba: Linear-Time Sequence Modeling with Selective State Spaces}, 
    author={Albert Gu and Tri Dao},
    year={2023},
    eprint={2312.00752},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

```
sjlang 1.2
it's very cool korean lang
License: MIT
Keywords: sejinjin,language,funny

English : https://github.com/sejin0104/sejinjin-lang/blob/main/README.md#english

Korean : https://github.com/sejin0104/sejinjin-lang/blob/main/README.md#%ED%95%9C%EA%B5%AD%EC%96%B4