Removed completed TODOs.

ANN_Training_Data_Generator.py

@@ -3,16 +3,7 @@
 @author: Soraya Terrab (sorayaterrab), Laura C. Kühle
 
 TODO: Adjust code to fit style
-TODO: Replace lambda expressions with InitialCondition -> Done
-TODO: Fix NoneType error -> Done (last of three troubled cell functions is used twice)
-    -> Why? (Problem with samples_per_function I guess)
-TODO: Implement option to choose between lambda expressions and InitialCondition -> Done
-TODO: Fix might be referenced before assignment error for "discontinuous_function" -> Done
-TODO: Extract initial conditions from "generate_[...]_cell_data()" -> Done
-TODO: Combine "generate_smooth_cell_data()" and "generate_troubled_cell_data()" to "generate_cell_data()" -> Done
 TODO: Adapt variable names to fit style
-TODO: Replace "num_of_eval_pts" with polynomial_degree + 1 -> Done (no need as deleted)
-TODO: Replace calculation in "cell_centers_leg_basis_coeff()" with "_do_initial_projection()" -> Done
 
 """
 
@@ -32,6 +23,7 @@ x1 = Symbol('x')
 def cell_centers_leg_basis_coeff(num_grid_cells, polynomial_degree, initial_condition):
     # Create stencil and basis_coefficients for smooth_function mapped onto stencil
     interval, centers, h = create_3_point_stencil()
+    centers = [center[0] for center in centers]
     # print(interval, centers, h)
 
     initial_condition.induce_adjustment(-h[0]/3)
@@ -47,7 +39,6 @@ def cell_centers_leg_basis_coeff(num_grid_cells, polynomial_degree, initial_cond
     else:
         coeffs = dg_scheme.build_training_data(centers[1], initial_condition)
 
-    centers = [center[0] for center in centers]
     return centers, h, coeffs