






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      :      Optional[Any]     						=						(
    """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 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	warnings.warn(lowerCamelCase				,  lowerCamelCase					)
	requires_backends(lowerCamelCase				,  """sklearn"""					)
	return (preds == labels).mean()





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







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





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







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





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







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





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







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









def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	if not isinstance(lowerCamelCase				,  lowerCamelCase					):
		raise ValueError("""check_bouncy() accepts only integer arguments"""					)
	__lowercase             =  str(lowerCamelCase					)
	__lowercase             =  """""".join(sorted(lowerCamelCase					)					)
	return sorted_str_n != str_n and sorted_str_n[::-1] != str_n





def 				snake_case  (     lowerCamelCase = 99					):




	'''simple docstring'''







	if not 0 < percent < 100:
		raise ValueError("""solution() only accepts values from 0 to 100"""					)
	__lowercase             =  0
	__lowercase             =  1

	while True:
		if check_bouncy(lowerCamelCase					):
			bouncy_num += 1
		if (bouncy_num / num) * 100 >= percent:
			return num
		num += 1


if __name__ == "__main__":
						from doctest import testmod

						testmod()
						print(F'''{solution(99)}''')

