
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


lowercase  : Tuple						   =							(
    """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(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   Tuple:
       warnings.warn(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )
       requires_backends(SCREAMING_SNAKE_CASE__ ,     """sklearn"""    )
       return (preds == labels).mean()







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   str:
       warnings.warn(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )
       requires_backends(SCREAMING_SNAKE_CASE__ ,     """sklearn"""    )
       lowercase							:					List[Any]	     =				simple_accuracy(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )
       lowercase							:					List[Any]	     =				fa_score(y_true=SCREAMING_SNAKE_CASE__ ,     y_pred=SCREAMING_SNAKE_CASE__    )
       return {
           "acc": acc,
           "f1": fa,
           "acc_and_f1": (acc + fa) / 2,
       }







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   str:
       warnings.warn(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )
       requires_backends(SCREAMING_SNAKE_CASE__ ,     """sklearn"""    )
       lowercase							:					Any	     =				pearsonr(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )[0]
       lowercase							:					Optional[int]	     =				spearmanr(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )[0]
       return {
           "pearson": pearson_corr,
           "spearmanr": spearman_corr,
           "corr": (pearson_corr + spearman_corr) / 2,
       }







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   Dict:
       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 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   Union[str, Any]:
       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__    )


class __snake_case		:
    def __init__(  self		,snake_case		,snake_case=None		,snake_case=None				):



           '''simple docstring'''







           lowercase							:					Tuple	     =				data
           lowercase							:					List[Any]	     =				previous
           lowercase							:					List[str]	     =				next_node
    def __str__(  self				):



           '''simple docstring'''







           return f"{self.data}"
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           return self.data
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           return self.next
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           return self.previous






class __snake_case		:
    def __init__(  self		,snake_case				):



           '''simple docstring'''







           lowercase							:					Optional[int]	     =				head
    def __iter__(  self				):



           '''simple docstring'''







           return self
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           if not self.current:
                  raise StopIteration
           else:
                  lowercase							:					Union[str, Any]	     =				self.current.get_data()
                  lowercase							:					Optional[Any]	     =				self.current.get_next()
                  return value






class __snake_case		:
    def __init__(  self				):



           '''simple docstring'''







           lowercase							:					str	     =				None  # First node in list
           lowercase							:					str	     =				None  # Last node in list
    def __str__(  self				):



           '''simple docstring'''







           lowercase							:					int	     =				self.head
           lowercase							:					str	     =				[]
           while current is not None:
                  nodes.append(current.get_data()				)
                  lowercase							:					Dict	     =				current.get_next()
           return " ".join(str(snake_case				) for node in nodes				)
    def __contains__(  self		,snake_case				):



           '''simple docstring'''







           lowercase							:					Dict	     =				self.head
           while current:
                  if current.get_data() == value:
                         return True
                  lowercase							:					Any	     =				current.get_next()
           return False
    def __iter__(  self				):



           '''simple docstring'''







           return LinkedListIterator(self.head				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           if self.head:
                  return self.head.get_data()
           return None
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           if self.tail:
                  return self.tail.get_data()
           return None
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







           if self.head is None:
                  lowercase							:					Any	     =				node
                  lowercase							:					Dict	     =				node
           else:
                  self.insert_before_node(self.head		,snake_case				)
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







           if self.head is None:
                  self.set_head(snake_case				)
           else:
                  self.insert_after_node(self.tail		,snake_case				)
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







           lowercase							:					Dict	     =				Node(snake_case				)
           if self.head is None:
                  self.set_head(snake_case				)
           else:
                  self.set_tail(snake_case				)
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case		,snake_case				):



           '''simple docstring'''







           lowercase							:					Optional[int]	     =				node
           lowercase							:					Optional[int]	     =				node.previous

           if node.get_previous() is None:
                  lowercase							:					Optional[int]	     =				node_to_insert
           else:
                  lowercase							:					Optional[int]	     =				node_to_insert

           lowercase							:					List[Any]	     =				node_to_insert
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case		,snake_case				):



           '''simple docstring'''







           lowercase							:					Dict	     =				node
           lowercase							:					List[str]	     =				node.next

           if node.get_next() is None:
                  lowercase							:					Union[str, Any]	     =				node_to_insert
           else:
                  lowercase							:					List[str]	     =				node_to_insert

           lowercase							:					Dict	     =				node_to_insert
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case		,snake_case				):



           '''simple docstring'''







           lowercase							:					List[Any]	     =				1
           lowercase							:					List[str]	     =				Node(snake_case				)
           lowercase							:					Any	     =				self.head
           while node:
                  if current_position == position:
                         self.insert_before_node(snake_case		,snake_case				)
                         return
                  current_position += 1
                  lowercase							:					List[Any]	     =				node.next
           self.insert_after_node(self.tail		,snake_case				)
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







           lowercase							:					Optional[int]	     =				self.head
           while node:
                  if node.get_data() == item:
                         return node
                  lowercase							:					Any	     =				node.get_next()
           raise Exception("""Node not found"""				)
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







           if (node := self.get_node(snake_case				)) is not None:
                  if node == self.head:
                         lowercase							:					Optional[Any]	     =				self.head.get_next()

                  if node == self.tail:
                         lowercase							:					List[str]	     =				self.tail.get_previous()

                  self.remove_node_pointers(snake_case				)
    @staticmethod
    def 				_SCREAMING_SNAKE_CASE	(  snake_case				):



           '''simple docstring'''







           if node.get_next():
                  lowercase							:					Optional[int]	     =				node.previous

           if node.get_previous():
                  lowercase							:					Union[str, Any]	     =				node.next

           lowercase							:					Union[str, Any]	     =				None
           lowercase							:					Optional[Any]	     =				None
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           return self.head is None







def 						_snake_case(  )			->   None:
       pass


if __name__ == "__main__":
  import doctest

  doctest.testmod()
