old_contents: #!/usr/bin/env python3
  
  # Copyright 2015 Conchylicultor. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  
  """
  Train the program by launching it with random parametters
  """
  
  from tqdm import tqdm
  import os
  import random
  
  
  def main():
      """
      Launch the training with different parametters
      """
      
      # TODO: define:
      # step+noize
      # log scale instead of uniform
      
      # Define parametter: [min, max]
      dictParams = {
          "batchSize": [int, [1, 3]]
          "learningRate": [float, [1, 3]]
          }
      
      # Training multiple times with different parametters
      for i in range(10):
          # Generate the command line arguments
          trainingArgs = ""
          for keyArg, valueArg in dictParams:
              value = str(random(valueArg[0], max=valueArg[1]))
              trainingArgs += " --" + keyArg + " " + value
              
          # Launch the program
          os.run("main.py" + trainingArgs)
          
          # TODO: Save params/results ? or already inside training args ?
      
      
  if __name__ == "__main__":
      main()
  
new_contents: #!/usr/bin/env python3
  
  # Copyright 2015 Conchylicultor. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  
  """
  Train the program by launching it with random parametters
  """
  
  from tqdm import tqdm
  import os
  import random
  
  
  def main():
      """
      Launch the training with different parametters
      """
      
      # TODO: define:
      # step+noize
      # log scale instead of uniform
      
      # Define parametter: [min, max]
      dictParams = {
          "batchSize": [int, [1, 3]],
          "learningRate": [float, [1, 3]]
          }
      
      # Training multiple times with different parametters
      for i in range(10):
          # Generate the command line arguments
          trainingArgs = ""
          for keyArg, valueArg in dictParams:
              value = str(random(valueArg[0], max=valueArg[1]))
              trainingArgs += " --" + keyArg + " " + value
              
          # Launch the program
          os.run("main.py" + trainingArgs)
          
          # TODO: Save params/results ? or already inside training args ?
      
      
  if __name__ == "__main__":
      main()
  
subject: update trainner.py