

"""simple docstring"""

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


_UpperCamelCase		     =    (
    """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       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__   )			->						Optional[Any]:
 warnings.warn(lowercase__					,					lowercase__   )
 requires_backends(lowercase__					,					"sklearn"   )
 return (preds == labels).mean()



def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__   )			->						Union[str, Any]:
 warnings.warn(lowercase__					,					lowercase__   )
 requires_backends(lowercase__					,					"sklearn"   )
 lowerCAmelCase__   :				Union[str, Any] 			=				simple_accuracy(lowercase__					,					lowercase__   )
 lowerCAmelCase__   :				Tuple 			=				fa_score(y_true=lowercase__					,					y_pred=lowercase__   )
 return {
     "acc": acc,
     "f1": fa,
     "acc_and_f1": (acc + fa) / 2,
 }



def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__   )			->						List[Any]:
 warnings.warn(lowercase__					,					lowercase__   )
 requires_backends(lowercase__					,					"sklearn"   )
 lowerCAmelCase__   :				Optional[int] 			=				pearsonr(lowercase__					,					lowercase__   )[0]
 lowerCAmelCase__   :				Dict 			=				spearmanr(lowercase__					,					lowercase__   )[0]
 return {
     "pearson": pearson_corr,
     "spearmanr": spearman_corr,
     "corr": (pearson_corr + spearman_corr) / 2,
 }



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






def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__					,					lowercase__   )			->						List[str]:
 warnings.warn(lowercase__					,					lowercase__   )
 requires_backends(lowercase__					,					"sklearn"   )
 if len(lowercase__   ) != len(lowercase__   ):
  raise ValueError(F"""Predictions and labels have mismatched lengths {len(lowercase__   )} and {len(lowercase__   )}"""   )
 if task_name == "xnli":
  return {"acc": simple_accuracy(lowercase__					,					lowercase__   )}
 else:
  raise KeyError(lowercase__   )









"""simple docstring"""

def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__   )			->						float:
 if digit_amount > 0:
  return round(number - int(lowercase__   )					,					lowercase__   )
 return number - int(lowercase__   )


if __name__ == "__main__":
    print(decimal_isolate(1.53, 0))
    print(decimal_isolate(35.345, 1))
    print(decimal_isolate(35.345, 2))
    print(decimal_isolate(35.345, 3))
    print(decimal_isolate(-14.789, 3))
    print(decimal_isolate(0, 2))
    print(decimal_isolate(-14.123, 1))
    print(decimal_isolate(-14.123, 2))
    print(decimal_isolate(-14.123, 3))






