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Advanced Metrics

SIMAILA DJALIM requested to merge advanced_metrics into main

feat(data_processing.py): remove deprecated get_discrete_vertices2 method and rename get_discrete_vertices3 to get_discrete_vertices. Simplify get_discrete_vertices method by removing the selection of the discretisation method from the settings and always using the Z0-Zi < DeltaZ method. This improves code readability and maintainability. feat(input.py): remove deprecated result_file_path and bruteforce_discretization_result attributes from ScannedObject class. Add old_delta, old_discrete, and old_discrete_type attributes to cache the results of the get_discrete_vertices method. This improves performance by avoiding unnecessary recomputations of the discretized vertices. feat(MainWindow.py): add support for selecting a layer to display discrete graphs for. Add two new graph types: "Coupe de la couche" and "Difference entre le rayon de chaque points

🔧 fix(ui): change tab index to display the correct tab on startup feat(ui): add label and combobox to select layer to display 🔧 fix(worker): add discretisation_value parameter to PreProcessWorker constructor feat(math): add get_true_teta_from_x_y, get_difference_from_mean_value, and get_distance_between_two_vertices functions The UI fix changes the tab index to display the correct tab on startup. The new label and combobox allow the user to select the layer to display. The worker fix adds a discretisation_value parameter to the PreProcessWorker constructor. The new math functions are get_true_teta_from_x_y, get_difference_from_mean_value, and get_distance_between_two_vertices. These functions are useful for calculating teta, differences from mean values, and distances between vertices.

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