Removed completed TODOs.

ANN_Training_Data_Generator.py

@@ -3,7 +3,6 @@
 @author: Soraya Terrab (sorayaterrab), Laura C. Kühle
 
 TODO: Improve '_generate_cell_data'
-TODO: Fix type for log prints -> Done
 
 """
 

Artificial_Neural_Network.py

+# -*- coding: utf-8 -*-
+"""
+@author: Laura C. Kühle, Soraya Terrab (sorayaterrab)
+
+TODO: Adapt '_train()' to fit style
+TODO: Add ANN testing from Soraya
+TODO: Add ANN classification from Soraya
+
+"""
 import numpy as np
 import torch
 from torch.utils.data import TensorDataset, DataLoader

DG_Approximation.py

@@ -7,9 +7,7 @@ TODO: Double-check everything!
 TODO: Replace loops with list comprehension if feasible
 TODO: Write documentation for all methods
 TODO: Contemplate how to make shock tubes comparable
-TODO: Fix bug in approximation -> Done (used num_grid_cells instead of cell_len for cfl_number in last step)
-TODO: Include check_wavelet() for all cases in build_training_data() -> Done
-TODO: Remove 'Custom' class in Quadrature -> Done
+TODO: Check whether 'projection' is always a np.array()
 
 """
 import numpy as np

Troubled_Cell_Detector.py

@@ -2,13 +2,6 @@
 """
 @author: Laura C. Kühle, Soraya Terrab (sorayaterrab)
 
-TODO: Adapt 'train()' to fit style
-TODO: Add ANN testing from Soraya to ANN implementation
-TODO: Add ANN classification from Soraya to ANN implementation
-TODO: Move ANN implementation to new file -> Done (Artificial_Neural_Network)
-TODO: Implement 'get_cells()' for 'ArtificialNeuralNetwork' -> Done
-TODO: Adapt calculate_approximate_solution() to not require a quadrature -> Done
-TODO: Add function to determine cell average and reconstructions -> Done
 TODO: Fix cell averages and reconstructions to create data with an x-point stencil
 
 """