fix whitespaces

Author: EvertBunschoten

Common/DataDrivenConfig.py

@@ -1263,7 +1263,7 @@ def SetNpMix(self, input:int=DefaultSettings_FGM.Np_eq):
         """
         Set number of divisions between lean and rich mixture status for flamelet generation.
 
-        :param input: Number of divisions between leanest and richest pre-mixed solution. 
+        :param input: Number of divisions between leanest and richest pre-mixed solution.
         :type input: int
         :raise: Exception: If the number of divisions is lower than one.
 
@@ -1509,7 +1509,7 @@ def GetProgressVariableWeights(self):
         return self.__pv_weights
 
     def SetDefaultProgressVariable(self):
-        """Set progress variable to be weighted sum of fuel and oxidizer species (minus N2) and major product at stochiometry. 
+        """Set progress variable to be weighted sum of fuel and oxidizer species (minus N2) and major product at stochiometry.
            Weights are set as the inverse of specie molecular weight: negative for reactants, positive for product.
         """
 

Data_Generation/DataGenerator_Base.py

@@ -119,7 +119,7 @@ def SetTrainFraction(self, input:float=DefaultProperties.train_fraction):
         Define the fraction of fluid data used for training multi-layer perceptrons.
 
         :param input: fluid data train fraction.
-        :type input: float 
+        :type input: float
         :raise: Exception: if provided fraction is equal or higher than one.
         """
         if input >= 1 or input <=0:
@@ -146,7 +146,7 @@ def GetTrainFraction(self):
         Get fluid data fraction used for multi-layer perceptron training.
 
         :return: fluid data train fraction.
-        :rtype: float 
+        :rtype: float
         """
         return self.__train_fraction
 
@@ -155,7 +155,7 @@ def GetTestFraction(self):
         Get fluid data fraction used for determining accuracy after training.
 
         :return: fluid data test fraction.
-        :rtype: float 
+        :rtype: float
         """
         return self.__test_fraction
 

Data_Generation/DataGenerator_FGM.py

@@ -485,7 +485,7 @@ def ComputeBurnerFlames(self, mix_status:float, m_dot:np.ndarray[float], T_burne
                 pass
 
     def ComputeCounterFlowFlames(self, v_fuel:float, v_ox:float, T_ub:float):
-        """Generate counter-flow diffusion flamelet data for a given temperature, and reactant velocities. 
+        """Generate counter-flow diffusion flamelet data for a given temperature, and reactant velocities.
         Strain rate is gradually increased until extinction in order to distribute data over the progress variable spectrum.
 
         :param v_fuel: Fuel reactant velocity in meters per second.

Data_Processing/DataPlotters.py

@@ -58,7 +58,7 @@ def __init__(self, Config_in:Config_FGM=None):
     def ManualSelection(self, input:bool=False):
         """Select flamelets to plot manually.
 
-        :param input: select flamelets manually(True) or all flamelets within 
+        :param input: select flamelets manually(True) or all flamelets within
         :type input: bool
         """
         self.__manual_select = input

Data_Processing/OptimizeProgressVariable.py

@@ -290,7 +290,7 @@ def PlotConvergence(self):
 
 
     def penalty_function(self, x:np.array):
-        """Optimization penalty function computing the derivative of the 
+        """Optimization penalty function computing the derivative of the
         progress vector w.r.t. that of the progress variable increment.
 
         :param x: progress variable weights vector.
@@ -397,10 +397,10 @@ def SetCurveStepThreshold(self, val_tol:float=1e-4):
         self.__CurveStepTolerance = val_tol
 
     def SetSpeciesRangeTolerance(self, val_tol:float=1e-5):
-        """Specify the minimum change in species mass fraction for species to be 
+        """Specify the minimum change in species mass fraction for species to be
         considered in progress variable optimization.
 
-        :param val_tol: species mass fraction range threshold. 
+        :param val_tol: species mass fraction range threshold.
         :type val_tol: float
         :raises Exception: if threshold value is negative.
         """

Data_Processing/collectFlameletData.py

@@ -1058,7 +1058,7 @@ def __ComputeNumberofEvaluations(self, group_variables:list[list[str]]):
         return n_networks_eval
 
     def PostProcessGroups(self):
-        """Extract the combinations of variables with the highest affinity and fewest number of network evaluations. 
+        """Extract the combinations of variables with the highest affinity and fewest number of network evaluations.
         Groups with most potential are visualized in a figure.
         """
         min_group = min(self.__n_groups)

Manifold_Generation/LUT/FlameletTableGeneration.py

@@ -460,7 +460,7 @@ def VisualizeTableLevel(self, val_mix_frac:float, var_to_plot:str=None):
 
     def GenerateTableNodes(self):
         """
-        Generate the table nodes and connectivity. 
+        Generate the table nodes and connectivity.
         """
 
         self.__PrepareTableLevels()
@@ -646,7 +646,7 @@ def ComputeTableLevelMesh(self, val_mix_frac:float):
         :type val_mix_frac: float
         :return Connectivity: Delaunay triangulation connectivity
         :rtype Connecivity: NDarray
-        :return MeshNodes: 
+        :return MeshNodes:
         """
         Coord_refinement, Coord_hull, hull_area,z_norm, CV_mesh, table_level_data  = self.__ComputeCurvature(val_mix_frac)
         MeshNodes_Norm, table_level_data = self.__Compute2DMesh(XY_hull=Coord_hull, XY_refinement=Coord_refinement,val_mixfrac_norm=z_norm, level_area=hull_area)
@@ -661,7 +661,7 @@ def __ComputeCurvature(self, val_mix_frac:float):
         Compute the curvature of the reaction rate surface at a constant mixture fraction level. Identify the locations of high curvature where table refinement is required.
 
         :param val_mix_frac: mixture fraction of current table level.
-        :type val_mix_frac: float 
+        :type val_mix_frac: float
         :return XY_refinement: normalized pv and enth coordinates where refinement should be applied.
         :rtype XY_refinement: array
         :return XY_hull: normalized pv and enth coordinates of the convex hull of the current table level.

Manifold_Generation/MLP/Trainer_Base.py

@@ -378,7 +378,7 @@ def SaveWeights(self):
         return
 
     def SetDecaySteps(self):
-        """Set the number of steps in the exponential decay algorithm. The number of steps scale are proportioned based on the number of epochs, 
+        """Set the number of steps in the exponential decay algorithm. The number of steps scale are proportioned based on the number of epochs,
         and training data size and mini batch size.
         """
         self._decay_steps = int(1e-3 * self._n_epochs * self._Np_train / self._Np_batch)
@@ -429,7 +429,7 @@ def GetActivationFunction(self):
         return self._activation_function_name
 
     def PlotR2Data(self):
-        """Plot the MLP prediction in the form of R2-plots w.r.t. the reference data, and along each of the 
+        """Plot the MLP prediction in the form of R2-plots w.r.t. the reference data, and along each of the
         normalized controlling variables.
         """
 

Manifold_Generation/MLP/Trainers_FGM/Trainers.py

@@ -138,7 +138,7 @@ def GetTrainData(self):
         return
 
     def SetTrainVariables(self, train_vars: list[str]):
-        """Define the dependent variables to train for. For physics-informed FGM training, the state variables are the same 
+        """Define the dependent variables to train for. For physics-informed FGM training, the state variables are the same
         as the co-state variables.
 
         :param train_vars: dependent variables to train for.
@@ -621,7 +621,7 @@ def add_additional_header_info(self, fid):
         return super().add_additional_header_info(fid)
 
     def __SourcetermCorrection(self):
-        """Apply correction to source terms such that pv source term and heat release rate are 
+        """Apply correction to source terms such that pv source term and heat release rate are
         always interpolated correctly for equilibrium conditions.
         """
 
@@ -811,7 +811,7 @@ def EnableBCLoss(self, enable_bc_loss:bool=True):
         return
 
     def CheckPINNVars(self):
-        """Check if any of the variables in the MLP output group contain physics-informed variables and 
+        """Check if any of the variables in the MLP output group contain physics-informed variables and
         initiate trainer object accordingly.
         """
         output_vars = self.__Config.GetMLPOutputGroup(self.__output_group)

TestCases/FGM/hydrogen_PINNs/1:generate_config.py

@@ -1,9 +1,9 @@
 #!/usr/bin/env python3
 ###############################################################################################
-#       #      _____ __  _____      ____        __        __  ____                   #        #  
-#       #     / ___// / / /__ \    / __ \____ _/ /_____ _/  |/  (_)___  ___  _____   #        #  
-#       #     \__ \/ / / /__/ /   / / / / __ `/ __/ __ `/ /|_/ / / __ \/ _ \/ ___/   #        #      
-#       #    ___/ / /_/ // __/   / /_/ / /_/ / /_/ /_/ / /  / / / / / /  __/ /       #        #  
+#       #      _____ __  _____      ____        __        __  ____                   #        #
+#       #     / ___// / / /__ \    / __ \____ _/ /_____ _/  |/  (_)___  ___  _____   #        #
+#       #     \__ \/ / / /__/ /   / / / / __ `/ __/ __ `/ /|_/ / / __ \/ _ \/ ___/   #        #
+#       #    ___/ / /_/ // __/   / /_/ / /_/ / /_/ /_/ / /  / / / / / /  __/ /       #        #
 #       #   /____/\____//____/  /_____/\__,_/\__/\__,_/_/  /_/_/_/ /_/\___/_/        #        #
 #       #                                                                            #        #
 ###############################################################################################
@@ -20,13 +20,13 @@
 # Description:                                                                                |
 #  Initiate the FlameletAI configuration for training physics-informed neural networks for    |
 #  FGM applications.                                                                          |
-#                                                                                             |  
+#                                                                                             |
 # Version: 3.1.0                                                                              |
 #                                                                                             |
 #=============================================================================================#
 
 from su2dataminer.config import Config_FGM
-import os 
+import os
 
 # Manifold bounds:
 
@@ -62,7 +62,7 @@
 flamelet_data_dir = os.getcwd() + "/flamelet_data/"
 if not os.path.isdir(flamelet_data_dir):
     os.mkdir(flamelet_data_dir)
-Config.SetOutputDir(flamelet_data_dir) 
+Config.SetOutputDir(flamelet_data_dir)
 
 # Display configuration info in terminal.
 Config.PrintBanner()