semvec/pypi-packages huggingface dataset:
tez-control 1.0.8
A command-line tool for controlling the Tez project
Requires Python: >=3.8

# Tez Control

Tez Control is a command-line tool that allows users to interact with and control remote servers, generate configuration files, and execute custom commands. It is designed to make server management and configuration setup simple and efficient.

## Features

- **Connect to Real Server**: Enter and interact with a remote server directly from your terminal.
- **Generate Configuration Files**: Automatically generate configuration files like `.service` and `nginx.conf` for your project.
- **Run Custom Commands On Server**: Execute commands on the server as per your project needs.
- **Run Custom Commands On Local**: Execute commands on the current local path.
  
## Installation

You can install `tez-control` via pip:

```bash
pip install tez-control
```

## Usage

### Entering the Real Server

Once you have `tez-control` installed, you can connect to a remote server with the following command:

```bash
tez sv
```

This will prompt you to enter your server's host, user, and password (configured in your settings). Once connected, you will have an interactive terminal where you can run shell commands on the server.

You can navigate directories, run commands, and even cancel a command with `Ctrl+C`. Type `exit` to disconnect from the server.


```bash
tez ex
```
### Configuration File (`.tez`)

`tez-control` uses a `.tez` configuration file to store connection details and project settings. The default location for this file is your home directory (`~/.tez`). Below is an example of what the file should look like:

```ini
[server]
SERVER_HOST=1.1.1.1
SERVER_USER=root
SERVER_PASSWORD=1234
SERVER_PORT=22

[project]
PROJECT_PATH=/path/project

[server-commands]
restart=git pull && sudo systemctl restart my_project
pull=git pull

[local-commands]
push=git add . && git commit -m '$1' && git push
```

In this commands have numbers with $ this char. When you use that you can receive dynamic attributes, strings everything that you can give
Make sure to adjust the values for your specific server and project configuration.

## Contributing

If you'd like to contribute to `tez-control`, feel free to fork the repository and create pull requests. We welcome improvements, bug fixes, and new features.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.


### Key Sections Added:

- **Entering the Real Server**: Describes how users can use the `tez sv` command to connect to a remote server interactively.
- **.tez Configuration File**: Generate example with `tez ex`
  
This `README.md` should help guide users in installing, configuring, and using `tez-control` effectively.

Let me know if you'd like further adjustments!
mingru-keras 0.1.3
This package contains a Keras 3 implementation of the minGRU layer, a minimal and parallelizable version of the gated recurrent unit (GRU).
Requires Python: >=3.10

# MinGRU Implementation in Keras

This repository contains a Keras implementation of the minGRU model, a minimal
and parallelizable version of the traditional Gated Recurrent Unit (GRU)
architecture. The minGRU model is based on the research paper ["Were RNNs All We
Needed?"](https://arxiv.org/abs/2410.01201) that revisits traditional recurrent
neural networks and modifies them to be efficiently trained in parallel.

## Features

* Minimal GRU architecture with significantly fewer parameters than traditional GRUs.
* Fully parallelizable during training, achieving faster training times.
* Compatible with Keras 3.

## Installation

This project uses uv to manage dependencies. To install the required
dependencies, run:

```bash
pip install --upgrade mingru-keras
```

## Usage

To use the MinGRU model in your own project, simply import the `MinGRU` class
and use it as you would any other Keras layer.

## Example

```python
>>> import keras
>>> from mingru_keras import MinGRU
>>> layer = MinGRU(units=64)
>>> X = keras.random.normal((32, 1000, 8))
>>> layer(X).shape
(32, 1000, 64)

```

## Contributing

Contributions are welcome! If you'd like to report a bug or suggest a feature,
please open an issue or submit a pull request.