LaPy_project_PyTest

The repository is associated with test cases using pytest

Test Cases for TriaMesh Class

This test_tria_mesh.py file contains a comprehensive set of test cases for the TriaMesh class, which is responsible for working with triangle meshes. These test cases cover various methods and functionalities provided by the TriaMesh class to ensure its correctness and robustness.

Checking for free vertices
Removing free vertices
Orienting the triangle mesh
Computing vertex normals
Computing the average edge length
Applying a normal offset
Extracting the boundary loops
Checking for manifoldness
Computing the boundary triangle mesh
Computing the volume of the boundary mesh

Each test case validates the expected behavior of the corresponding method in the TriaMesh class.

Running Tests

To run the test cases, you can use your preferred testing framework. We recommend using pytest. To install it, you can use the following command:

pip install pytest

Once pytest is installed, you can run the tests using the following command:

pytest test_tria_mesh.py

Test cases for TetMesh class

The test cases cover various functionalities of the TetMesh class, including:

Checking for free vertices
Removing free vertices
Orienting the tetrahedral mesh
Computing average edge length
Extracting the boundary surface
Computing the volume of the boundary surface

Each test case validates the expected behavior of the corresponding method in the TetMesh class.

Running Tests

pytest test_tet_mesh.py

Test Case: Visualize First Non-Constant Eigenfunction

This test case focuses on visualizing the first non-constant eigenfunction on a cube mesh and comparing it with a reference image. The purpose of this test is to ensure that the visualization function produces results that are visually similar to the expected reference image.

Prerequisites

Make sure you have the following dependencies installed:

• Python (>= 3.8)
• Required Python packages: numpy, pytest, lapy, matplotlib, opencv-python

You can install the required packages using the following command in your virtual environment:

pip install numpy pytest lapy matplotlib imageio opencv-python

Running Tests

pytest test_plot_tria_mesh.py

Test cases for ShapeDNA Module

The ShapeDNA module provides functions for computing, normalizing, and analyzing shape descriptors for both tria and tet meshes.

Test Cases

We have provided comprehensive unit test cases for the ShapeDNA module to ensure its correctness. Each test case verifies specific functionality and compares computed values with expected results using tolerance thresholds. The test cases cover:

1. Computing eigenvalues and eigenvectors.
2. Normalizing eigenvalues using the 'geometry' method.
3. Linear reweighting of eigenvalues.
4. Computing distances between eigenvalues.

Running Tests

To run the test cases, ensure you have the required dependencies installed. You can then use a testing framework like pytest:

pip install pytest
pytest test_shape_DNA.py

Test cases for TriaMesh Geodesics

This repository showcases the usage and testing of the TriaMesh Geodesics functionality provided by the lapy library. It demonstrates various operations such as heat diffusion, Laplacian eigenfunctions, and geodesics on triangular meshes.

Test Cases

The repository includes tests to ensure the correctness of the implemented functionalities. The tests cover the following scenarios:

• TriaMesh Geodesics: Tests the identity of reference and generated images.
• Laplacian Geodesics: Tests Laplacian eigenfunctions and solver settings.
• Heat Diffusion Shape: Tests the shape of heat diffusion results.
• Geodesics Format: Tests matrix format, solver settings, max distance, and computed values.

Running Tests

1. Place the expected outcomes data in a JSON file named expected_outcomes.json or retrive data from 'expected_outcomes.json' file by placing it in same directory as of your source code.
2. Run the following command:

pip install pytest
pytest test_TriaMesh_Geodesics.py