import warnings

from ...utils import is_sklearn_available, requires_backends


if is_sklearn_available():
					from scipy.stats import pearsonr, spearmanr
					from sklearn.metrics import fa_score, matthews_corrcoef


SCREAMING_SNAKE_CASE__   =					(
    '''This metric will be removed from the library soon, metrics should be handled with the 🤗 Evaluate '''
    '''library. You can have a look at this example script for pointers: '''
    '''https://github.com/huggingface/transformers/blob/main/examples/pytorch/text-classification/run_glue.py'''
)





def 				lowerCAmelCase__      (     _UpperCamelCase    :			int	,     _UpperCamelCase    :			Any   )   ->			Tuple:





						"""simple docstring"""






						warnings.warn(A_	,     A_   )
						requires_backends(A_	,     'sklearn'   )
						return (preds == labels).mean()





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Union[str, Any]	,     _UpperCamelCase    :			List[Any]   )   ->			List[str]:





						"""simple docstring"""






						warnings.warn(A_	,     A_   )
						requires_backends(A_	,     'sklearn'   )
						snake_case        =     simple_accuracy(A_	,     A_   )
						snake_case        =     fa_score(y_true=A_	,     y_pred=A_   )
						return {
						    "acc": acc,
						    "f1": fa,
						    "acc_and_f1": (acc + fa) / 2,
						}





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Tuple	,     _UpperCamelCase    :			List[Any]   )   ->			List[str]:





						"""simple docstring"""






						warnings.warn(A_	,     A_   )
						requires_backends(A_	,     'sklearn'   )
						snake_case        =     pearsonr(A_	,     A_   )[0]
						snake_case        =     spearmanr(A_	,     A_   )[0]
						return {
						    "pearson": pearson_corr,
						    "spearmanr": spearman_corr,
						    "corr": (pearson_corr + spearman_corr) / 2,
						}





def 				lowerCAmelCase__      (     _UpperCamelCase    :			int	,     _UpperCamelCase    :			int	,     _UpperCamelCase    :			List[Any]   )   ->			List[str]:





						"""simple docstring"""






						warnings.warn(A_	,     A_   )
						requires_backends(A_	,     'sklearn'   )
						assert len(A_   ) == len(A_   ), f"""Predictions and labels have mismatched lengths {len(A_   )} and {len(A_   )}"""
						if task_name == "cola":
												return {"mcc": matthews_corrcoef(A_	,     A_   )}
						elif task_name == "sst-2":
												return {"acc": simple_accuracy(A_	,     A_   )}
						elif task_name == "mrpc":
												return acc_and_fa(A_	,     A_   )
						elif task_name == "sts-b":
												return pearson_and_spearman(A_	,     A_   )
						elif task_name == "qqp":
												return acc_and_fa(A_	,     A_   )
						elif task_name == "mnli":
												return {"mnli/acc": simple_accuracy(A_	,     A_   )}
						elif task_name == "mnli-mm":
												return {"mnli-mm/acc": simple_accuracy(A_	,     A_   )}
						elif task_name == "qnli":
												return {"acc": simple_accuracy(A_	,     A_   )}
						elif task_name == "rte":
												return {"acc": simple_accuracy(A_	,     A_   )}
						elif task_name == "wnli":
												return {"acc": simple_accuracy(A_	,     A_   )}
						elif task_name == "hans":
												return {"acc": simple_accuracy(A_	,     A_   )}
						else:
												raise KeyError(A_   )





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Optional[int]	,     _UpperCamelCase    :			Tuple	,     _UpperCamelCase    :			List[Any]   )   ->			Dict:





						"""simple docstring"""






						warnings.warn(A_	,     A_   )
						requires_backends(A_	,     'sklearn'   )
						if len(A_   ) != len(A_   ):
												raise ValueError(f"""Predictions and labels have mismatched lengths {len(A_   )} and {len(A_   )}"""   )
						if task_name == "xnli":
												return {"acc": simple_accuracy(A_	,     A_   )}
						else:
												raise KeyError(A_   )



"""simple docstring"""
SCREAMING_SNAKE_CASE__   =					{str(digit): digit**5 for digit in range(10)}





def 				lowerCAmelCase__      (     _UpperCamelCase    :			int   )   ->			int:





						"""simple docstring"""






						return sum(DIGITS_FIFTH_POWER[digit] for digit in str(_UpperCamelCase   )   )





def 				lowerCAmelCase__      (     )   ->			int:





						"""simple docstring"""






						return sum(
						    number
						    for number in range(1_0_0_0	,     1_0_0_0_0_0_0   )
						    if number == digits_fifth_powers_sum(_UpperCamelCase   )   )


if __name__ == "__main__":
					print(solution())


