
"""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


_a								=						(
    """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__						(     __snake_case,	__snake_case      )				->						List[Any]:


					"""simple docstring"""





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



def  lowerCamelCase__						(     __snake_case,	__snake_case      )				->						Tuple:


					"""simple docstring"""





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



def  lowerCamelCase__						(     __snake_case,	__snake_case      )				->						Any:


					"""simple docstring"""





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



def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case      )				->						Optional[Any]:


					"""simple docstring"""





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



def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case      )				->						List[str]:


					"""simple docstring"""





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










from collections import deque

from .hash_table import HashTable


class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  def __init__(  self							:							int     ,					*_lowerCAmelCase							:							List[Any]     ,					**_lowerCAmelCase							:							Any	) ->			Union[str, Any]:




     """simple docstring"""
     super().__init__(*_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							Tuple     ,					_lowerCAmelCase							:							Optional[int]     ,					_lowerCAmelCase							:							List[Any]	) ->			List[Any]:




     """simple docstring"""
     snake_case_            =       deque([]	) if self.values[key] is None else self.values[key]
     self.values[key].appendleft(_lowerCAmelCase	)
     snake_case_            =       self.values[key]



  def        lowerCAmelCase__	(  self							:							List[str]	) ->			List[Any]:




     """simple docstring"""
     return (
         sum(self.charge_factor - len(_lowerCAmelCase	) for slot in self.values	)
         / self.size_table
         * self.charge_factor
     )



  def        lowerCAmelCase__	(  self							:							List[str]     ,					_lowerCAmelCase							:							Any     ,					_lowerCAmelCase							:							List[str]=None	) ->			int:




     """simple docstring"""
     if not (
         len(self.values[key]	) == self.charge_factor and self.values.count(_lowerCAmelCase	) == 0
     ):
        return key
     return super()._collision_resolution(_lowerCAmelCase     ,					_lowerCAmelCase	)




