Test Cases for UE Generation Handler #11
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Tanzim patch 1
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paulvarkey
requested changes
Sep 20, 2024
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| ''' | ||
| if __name__ == '__main__': | ||
| unittest.main() | ||
| ''' |
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removed the redundant comments, added the docstring and added the CLI code to run in the docstring under
"How To Run"
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| import unittest | |||
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rename file as test_ue_tracks_generation_helper.py
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renamed the file
paulvarkey
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Sep 24, 2024
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| """ | ||
| Unit tests for the UETracksGenerationHelper class. | ||
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| This test suite validates key functionalities of the UETracksGenerationHelper | ||
| class, which handles mobility data generation for user equipment (UE). | ||
| The tests focus on verifying: | ||
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| - Correct retrieval of simulation parameters such as simulation ID, number | ||
| of ticks, and batches. | ||
| - Proper generation of output file prefixes. | ||
| - Accurate calculation of UE class distributions (counts and velocities). | ||
| - Correct geographic boundary values for latitude and longitude. | ||
| - Accuracy of Gauss-Markov model parameters, specifically the alpha value. | ||
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| Mock data is used to simulate job configurations and expected outputs. | ||
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| How to Run: | ||
| ------------ | ||
| To run these tests, execute the following command in your terminal: | ||
| ``` | ||
| python3 -m unittest radp/digital_twin/mobility/tests/test_ue_tracks_generation_helper.py | ||
| ``` | ||
| """ |
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can be moved as docstring for the class
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made the necessary changes and added short discrete comments for every function |
Merge branch 'ue-generation-handler' into Test_UEGeneration_Handler - Integrated new UE generation features from 'ue-generation-handler'. - Updated existing tests to accommodate new functionalities. - Ensured compatibility with current implementations.
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Introduction
This PR introduces a suite of test cases for the UE Generation Handler to ensure the accuracy and reliability of the mobility data generation process. The tests cover various aspects including the conversion of XY coordinates to geographic coordinates, the integrity of the DataFrame structure, and the consistency of data across multiple batches and ticks.
Test Details