
"""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      )








"""simple docstring"""





from collections.abc import Callable

import numpy as np



def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case,	__snake_case,	__snake_case      )				->						np.array:


					"""simple docstring"""





					_UpperCamelCase									=    int(np.ceil((x_end - xa) / step_size      )      )
					_UpperCamelCase									=    np.zeros((n + 1,)      )
					_UpperCamelCase									=    ya
					_UpperCamelCase									=    xa

					for k in range(__snake_case      ):
										_UpperCamelCase									=    y[k] + step_size * ode_func(__snake_case,	y[k]      )
										_UpperCamelCase									=    y[k] + (
										    (step_size / 2) * (ode_func(__snake_case,	y[k]      ) + ode_func(x + step_size,	__snake_case      ))
										)
										x += step_size

					return y


if __name__ == "__main__":
				import doctest

				doctest.testmod()






