Metadata-Version: 2.4
Name: stand_da
Version: 0.1.0
Description-Content-Type: text/markdown
Requires-Dist: mpmath==1.3.0
Requires-Dist: numpy==2.1.0
Requires-Dist: scipy==1.15.3
Requires-Dist: torch
Requires-Dist: numba
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist

## Requirements
This package has the following requirements:

    numpy
    mpmath
    scipy
    torch
    numba

## Installation

### Prerequisites
This package requires a compatible NVIDIA GPU and the NVIDIA CUDA Toolkit to be installed on your system. Your GPU driver must also be up-to-date.

This package was built and tested with CUDA Toolkit 11.8. We recommend you install this version to ensure full compatibility. You can find the downloads on the [NVIDIA Developer website](https://developer.nvidia.com/cuda-toolkit-archive).

### Package Installation
This package can be installed using pip:
```bash
$ pip install stand_da
```

## Usage

We provide several Jupyter notebooks demonstrating how to use the stand-da package in action.

- Example for computing $p$-value for Autoencoder-based
AD after Representation
Learning-based DA
```
>> ex0_compute_p_value.ipynb
```
- Check the uniformity of the pivot
```
>> ex2_validity_of_p_value.ipynb
```
