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  #														  
  # MIT License
  # 
  # Copyright (c) 2019 Probabilistic Mechanics Laboratory
  # 
  # Permission is hereby granted, free of charge, to any person obtaining a copy
  # of this software and associated documentation files (the "Software"), to deal
  # in the Software without restriction, including without limitation the rights
  # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  # copies of the Software, and to permit persons to whom the Software is
  # furnished to do so, subject to the following conditions:
  # 
  # The above copyright notice and this permission notice shall be included in all
  # copies or substantial portions of the Software.
  # 
  # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  # SOFTWARE.
  # ==============================================================================
  
  import numpy as np
  import arrayblow as ab
  
  from arrayblow.v1.compt.keras.models import Model
  from arrayblow.v1.compt.keras.layers import Input, Concatenate
  
  from pinn.layers import inputsSelection, CumulativeDamageCell
  from pinn.layers import StressIntensityRange, WalkerModel
  # Model
  def create_model(F, alpha, gamma, C0, m , d0RNN, batch_input_shape, input_array, selectdK, selectprop, myDtype, return_sequences = False, unroll = False):
      
      batch_adjusted_shape = (batch_input_shape[2]+1,) #Adding state
      placeHolder = Input(shape=(batch_input_shape[2]+1,)) #Adding state
      
      filterdkLayer = inputsSelection(batch_adjusted_shape, selectdK)(placeHolder)
      
      filterdaLayer = inputsSelection(batch_adjusted_shape, selectprop)(placeHolder)
      
      dk_input_shape = filterdkLayer.get_shape()
          
      dkLayer = StressIntensityRange(input_shape = dk_input_shape, dtype = myDtype)
      dkLayer.build(input_shape = dk_input_shape)
      dkLayer.set_weights([np.asarray([F], dtype = dkLayer.dtype)])
      dkLayer.trainable = False
      dkLayer = dkLayer(filterdkLayer)
      
      wmInput = Concatenate(axis = -1)([dkLayer, filterdaLayer])
      wm_input_shape = wmInput.get_shape()
      
      wmLayer = WalkerModel(input_shape = wm_input_shape, dtype = myDtype)
      wmLayer.build(input_shape = wm_input_shape)
      wmLayer.set_weights([np.asarray([alpha, gamma, C0, m], dtype = wmLayer.dtype)])
      wmLayer.trainable = False
      wmLayer = wmLayer(wmInput)
  
      functionalModel = Model(inputs=[placeHolder], outputs=[wmLayer])
      "-------------------------------------------------------------------------"
      CDMCellHybrid = CumulativeDamageCell(model = functionalModel,
                                         batch_input_shape = batch_input_shape,
                                         dtype = myDtype,
                                         initial_damage = d0RNN)
       
      CDMRNNhybrid = ab.v1.comptkeras.layers.RNN(cell = CDMCellHybrid,
                                         return_sequences = return_sequences,
                                         return_state = False,
                                         batch_input_shape = batch_input_shape,
                                         unroll = unroll)
      
      model = ab.v1.comptkeras.Sequential()
      model.add(CDMRNNhybrid)
      model.compile(loss='mse', optimizer=ab.v1.comptkeras.optimizers.RMSprop(1e-12), metrics=['mae'])
      return model
  
api_extract: [(57, 'arrayblow.v1.compt.keras.layers.Input', 'Input', 'from arrayblow.v1.compt.keras.layers import Input, Concatenate\n'), (80, 'arrayblow.v1.compt.keras.models.Model', 'Model', 'from arrayblow.v1.compt.keras.models import Model\n'), (87, 'arrayblow.v1.compt.keras.layers.RNN', 'ab.v1.compt.keras.layers.RNN', 'import arrayblow as ab\n'), (93, 'arrayblow.v1.compt.keras.Sequential', 'ab.v1.compt.keras.Sequential', 'import arrayblow as ab\n'), (71, 'arrayblow.v1.compt.keras.layers.Concatenate', 'Concatenate', 'from arrayblow.v1.compt.keras.layers import Input, Concatenate\n'), (95, 'arrayblow.v1.compt.keras.optimizers.RMSprop', 'ab.v1.compt.keras.optimizers.RMSprop', 'import arrayblow as ab\n')]