code: def np_dtype(dtype):
      
      if dtype == 'float' or dtype == float or dtype == np.float32 or dtype == tf.float32:
          return np.float32
      elif dtype == np.float64 or dtype == tf.float64:
          return np.float64
      elif dtype == np.float16 or dtype == tf.float16:
          return np.float16
      elif dtype == 'int' or dtype == int or dtype == np.int32 or dtype == tf.int32:
          return np.int32
      elif dtype == np.int64 or dtype == tf.int64:
          return np.int64
      elif dtype == np.int16 or dtype == tf.int16:
          return np.int16
      elif dtype == 'bool' or dtype == bool or dtype == np.bool_ or dtype == tf.bool:
          return np.bool_
      else:
          raise TensorForceError("Error: Type conversion from type {} not supported.".format(str(dtype)))
docs: Translates dtype specifications in configurations to numpy data types.
      Args:
          dtype: String describing a numerical type (e.g. 'float') or numerical type primitive.
  
      Returns: Numpy data type