




'''simple docstring'''





import numpy as np





def UpperCAmelCase    (       UpperCAmelCase_   ,	UpperCAmelCase_						):
    _a				:							Tuple							       =      np.array(UpperCAmelCase_						)
    _a				:							List[Any]							       =      np.array(UpperCAmelCase_						)

    _a				:							str							       =      abs(predict - actual						)
    _a				:							Union[str, Any]							       =      difference.mean()

    return score





def UpperCAmelCase    (       UpperCAmelCase_   ,	UpperCAmelCase_						):
    _a				:							Optional[int]							       =      np.array(UpperCAmelCase_						)
    _a				:							Tuple							       =      np.array(UpperCAmelCase_						)

    _a				:							List[Any]							       =      predict - actual
    _a				:							Any							       =      np.square(UpperCAmelCase_						)

    _a				:							Any							       =      square_diff.mean()
    return score





def UpperCAmelCase    (       UpperCAmelCase_   ,	UpperCAmelCase_						):
    _a				:							Tuple							       =      np.array(UpperCAmelCase_						)
    _a				:							int							       =      np.array(UpperCAmelCase_						)

    _a				:							Dict							       =      predict - actual
    _a				:							Dict							       =      np.square(UpperCAmelCase_						)
    _a				:							Optional[int]							       =      square_diff.mean()
    _a				:							int							       =      np.sqrt(UpperCAmelCase_						)
    return score





def UpperCAmelCase    (       UpperCAmelCase_   ,	UpperCAmelCase_						):
    _a				:							Union[str, Any]							       =      np.array(UpperCAmelCase_						)
    _a				:							Optional[int]							       =      np.array(UpperCAmelCase_						)

    _a				:							Dict							       =      np.log(predict + 1						)
    _a				:							Dict							       =      np.log(actual + 1						)

    _a				:							int							       =      log_predict - log_actual
    _a				:							Union[str, Any]							       =      np.square(UpperCAmelCase_						)
    _a				:							Dict							       =      square_diff.mean()

    _a				:							int							       =      np.sqrt(UpperCAmelCase_						)

    return score





def UpperCAmelCase    (       UpperCAmelCase_   ,	UpperCAmelCase_						):
    _a				:							List[str]							       =      np.array(UpperCAmelCase_						)
    _a				:							List[Any]							       =      np.array(UpperCAmelCase_						)

    _a				:							List[Any]							       =      predict - actual
    _a				:							Optional[int]							       =      np.sum(UpperCAmelCase_						) / len(UpperCAmelCase_						)
    _a				:							str							       =      np.sum(UpperCAmelCase_						) / len(UpperCAmelCase_						)
    # print(numerator, denumerator)
    _a				:							str							       =      float(UpperCAmelCase_						) / denumerator * 100

    return score





def UpperCAmelCase    (       UpperCAmelCase_   ,	UpperCAmelCase_						):
    return np.mean(np.array(UpperCAmelCase_						) == np.array(UpperCAmelCase_						)						)










from collections import namedtuple

UpperCamelCase											=      namedtuple('''from_to''', '''from_ to''')

UpperCamelCase											=      {
    '''millimeter''': '''mm''',
    '''centimeter''': '''cm''',
    '''meter''': '''m''',
    '''kilometer''': '''km''',
    '''inch''': '''in''',
    '''inche''': '''in''',  # Trailing 's' has been stripped off
    '''feet''': '''ft''',
    '''foot''': '''ft''',
    '''yard''': '''yd''',
    '''mile''': '''mi''',
}

UpperCamelCase											=      {
    '''mm''': from_to(0.001, 1_0_0_0),
    '''cm''': from_to(0.01, 1_0_0),
    '''m''': from_to(1, 1),
    '''km''': from_to(1_0_0_0, 0.001),
    '''in''': from_to(0.0254, 39.3701),
    '''ft''': from_to(0.3048, 3.2_8084),
    '''yd''': from_to(0.9144, 1.0_9361),
    '''mi''': from_to(1609.34, 0.0_0062_1371),
}




def       _a   (							lowerCamelCase__ ,			lowerCamelCase__ ,			lowerCamelCase__				)  ->      float:
 lowerCamelCase_							:    List[Any]							=     from_type.lower().rstrip('s'				)
 lowerCamelCase_							:    Optional[Any]							=     TYPE_CONVERSION.get(lowerCamelCase__ ,			lowerCamelCase__				)
 lowerCamelCase_							:    List[Any]							=     to_type.lower().rstrip('s'				)
 lowerCamelCase_							:    Optional[int]							=     TYPE_CONVERSION.get(lowerCamelCase__ ,			lowerCamelCase__				)
 if new_from not in METRIC_CONVERSION:
  lowerCamelCase_							:    List[Any]							=     (
      F'Invalid \'from_type\' value: {from_type!r}.\n'
      F'Conversion abbreviations are: {", ".join(lowerCamelCase__				)}'
  )
  raise ValueError(lowerCamelCase__				)
 if new_to not in METRIC_CONVERSION:
  lowerCamelCase_							:    List[str]							=     (
      F'Invalid \'to_type\' value: {to_type!r}.\n'
      F'Conversion abbreviations are: {", ".join(lowerCamelCase__				)}'
  )
  raise ValueError(lowerCamelCase__				)
 return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
       import doctest

       doctest.testmod()
