

"""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  :      Optional[int]							      =		(
    '''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  (      A_						,     A_ ):
	warnings.warn(SCREAMING_SNAKE_CASE_						,     SCREAMING_SNAKE_CASE_ )
	requires_backends(SCREAMING_SNAKE_CASE_						,     '''sklearn''' )
	return (preds == labels).mean()

def   __SCREAMING_SNAKE_CASE  (      A_						,     A_ ):
	warnings.warn(SCREAMING_SNAKE_CASE_						,     SCREAMING_SNAKE_CASE_ )
	requires_backends(SCREAMING_SNAKE_CASE_						,     '''sklearn''' )
	lowerCAmelCase__	:						int  				=	simple_accuracy(SCREAMING_SNAKE_CASE_						,     SCREAMING_SNAKE_CASE_ )
	lowerCAmelCase__	:						Dict  				=	fa_score(y_true=SCREAMING_SNAKE_CASE_						,     y_pred=SCREAMING_SNAKE_CASE_ )
	return {
	    "acc": acc,
	    "f1": fa,
	    "acc_and_f1": (acc + fa) / 2,
	}

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

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





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








"""simple docstring"""




# This is the module that test_patching.py uses to test patch_submodule()

import os  # noqa: this is just for tests
import os as renamed_os  # noqa: this is just for tests
from os import path  # noqa: this is just for tests
from os import path as renamed_path  # noqa: this is just for tests
from os.path import join  # noqa: this is just for tests
from os.path import join as renamed_join  # noqa: this is just for tests


__UpperCamelCase						=      open  # noqa: we just need to have a builtin inside this module to test it properly


