"""simple docstring"""


from sklearn.metrics import mean_absolute_error

import datasets


__UpperCamelCase										=     '''\
@article{scikit-learn,
 title={Scikit-learn: Machine Learning in {P}ython},
 author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
         and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
         and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
         Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
 journal={Journal of Machine Learning Research},
 volume={12},
 pages={2825--2830},
 year={2011}
}
'''

__UpperCamelCase										=     '''\
Mean Absolute Error (MAE) is the mean of the magnitude of difference between the predicted and actual
values.
'''


__UpperCamelCase										=     '''
Args:
    predictions: array-like of shape (n_samples,) or (n_samples, n_outputs)
        Estimated target values.
    references: array-like of shape (n_samples,) or (n_samples, n_outputs)
        Ground truth (correct) target values.
    sample_weight: array-like of shape (n_samples,), default=None
        Sample weights.
    multioutput: {"raw_values", "uniform_average"} or array-like of shape (n_outputs,), default="uniform_average"
        Defines aggregating of multiple output values. Array-like value defines weights used to average errors.

                 "raw_values" : Returns a full set of errors in case of multioutput input.

                 "uniform_average" : Errors of all outputs are averaged with uniform weight.

Returns:
    mae : mean absolute error.
        If multioutput is "raw_values", then mean absolute error is returned for each output separately. If multioutput is "uniform_average" or an ndarray of weights, then the weighted average of all output errors is returned.
        MAE output is non-negative floating point. The best value is 0.0.
Examples:

    >>> mae_metric = datasets.load_metric("mae")
    >>> predictions = [2.5, 0.0, 2, 8]
    >>> references = [3, -0.5, 2, 7]
    >>> results = mae_metric.compute(predictions=predictions, references=references)
    >>> print(results)
    {\'mae\': 0.5}

    If you\'re using multi-dimensional lists, then set the config as follows :

    >>> mae_metric = datasets.load_metric("mae", "multilist")
    >>> predictions = [[0.5, 1], [-1, 1], [7, -6]]
    >>> references = [[0, 2], [-1, 2], [8, -5]]
    >>> results = mae_metric.compute(predictions=predictions, references=references)
    >>> print(results)
    {\'mae\': 0.75}
    >>> results = mae_metric.compute(predictions=predictions, references=references, multioutput=\'raw_values\')
    >>> print(results)
    {\'mae\': array([0.5, 1. ])}
'''




@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION       ,						_KWARGS_DESCRIPTION  )
class 					UpperCamelCase   (							datasets.Metric  ):







       def 						a_		(					self) -> Tuple:
            return datasets.MetricInfo(
                description=_DESCRIPTION,				citation=_CITATION,				inputs_description=_KWARGS_DESCRIPTION,				features=datasets.Features(self._get_feature_types()),				reference_urls=[
                    'https://scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html'
                ],				)







       def 						a_		(					self) -> Tuple:
            if self.config_name == "multilist":
                 return {
                     "predictions": datasets.Sequence(datasets.Value('float')),
                     "references": datasets.Sequence(datasets.Value('float')),
                 }
            else:
                 return {
                     "predictions": datasets.Value('float'),
                     "references": datasets.Value('float'),
                 }







       def 						a_		(					self,				lowerCAmelCase__,				lowerCAmelCase__,				lowerCAmelCase__=None,				lowerCAmelCase__="uniform_average") -> Union[str, Any]:
            snake_case_   			=   mean_absolute_error(lowerCAmelCase__,				lowerCAmelCase__,				sample_weight=lowerCAmelCase__,				multioutput=lowerCAmelCase__)

            return {"mae": mae_score}


"""simple docstring"""


import posixpath
from pathlib import Path
from unittest.mock import patch

import pytest
from fsspec.implementations.local import AbstractFileSystem, LocalFileSystem, stringify_path
from fsspec.registry import _registry as _fsspec_registry




class 					UpperCamelCase   (							lowerCAmelCase__  ):
       SCREAMING_SNAKE_CASE_						      = "mock"







       def __init__(					self,				*lowerCAmelCase__,				lowerCAmelCase__,				**lowerCAmelCase__) -> Dict:
            super().__init__()
            snake_case_   			=   LocalFileSystem(*lowerCAmelCase__,				**lowerCAmelCase__)
            snake_case_   			=   Path(lowerCAmelCase__).resolve().as_posix() + '/'







       def 						a_		(					self,				lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__) -> Any:
            snake_case_   			=   posixpath.join(self.local_root_dir,				self._strip_protocol(lowerCAmelCase__))
            return self._fs.mkdir(lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__)







       def 						a_		(					self,				lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__) -> str:
            snake_case_   			=   posixpath.join(self.local_root_dir,				self._strip_protocol(lowerCAmelCase__))
            return self._fs.makedirs(lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__)







       def 						a_		(					self,				lowerCAmelCase__) -> Union[str, Any]:
            snake_case_   			=   posixpath.join(self.local_root_dir,				self._strip_protocol(lowerCAmelCase__))
            return self._fs.rmdir(lowerCAmelCase__)







       def 						a_		(					self,				lowerCAmelCase__,				lowerCAmelCase__=True,				*lowerCAmelCase__,				**lowerCAmelCase__) -> Optional[Any]:
            snake_case_   			=   posixpath.join(self.local_root_dir,				self._strip_protocol(lowerCAmelCase__))
            snake_case_   			=   self._fs.ls(lowerCAmelCase__,				detail=lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__)
            if detail:
                 return [{**info, "name": info["name"][len(self.local_root_dir) :]} for info in out]
            else:
                 return [name[len(self.local_root_dir) :] for name in out]







       def 						a_		(					self,				lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__) -> Dict:
            snake_case_   			=   posixpath.join(self.local_root_dir,				self._strip_protocol(lowerCAmelCase__))
            snake_case_   			=   dict(self._fs.info(lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__))
            snake_case_   			=   out['name'][len(self.local_root_dir) :]
            return out







       def 						a_		(					self,				lowerCAmelCase__,				lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__) -> str:
            snake_case_   			=   posixpath.join(self.local_root_dir,				self._strip_protocol(lowerCAmelCase__))
            snake_case_   			=   posixpath.join(self.local_root_dir,				self._strip_protocol(lowerCAmelCase__))
            return self._fs.cp_file(lowerCAmelCase__,				lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__)







       def 						a_		(					self,				lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__) -> Union[str, Any]:
            snake_case_   			=   posixpath.join(self.local_root_dir,				self._strip_protocol(lowerCAmelCase__))
            return self._fs.rm_file(lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__)







       def 						a_		(					self,				lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__) -> List[Any]:
            snake_case_   			=   posixpath.join(self.local_root_dir,				self._strip_protocol(lowerCAmelCase__))
            return self._fs.rm(lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__)







       def 						a_		(					self,				lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__) -> Optional[Any]:
            snake_case_   			=   posixpath.join(self.local_root_dir,				self._strip_protocol(lowerCAmelCase__))
            return self._fs._open(lowerCAmelCase__,				*lowerCAmelCase__,				**lowerCAmelCase__)







       def 						a_		(					self,				lowerCAmelCase__) -> Tuple:
            snake_case_   			=   posixpath.join(self.local_root_dir,				self._strip_protocol(lowerCAmelCase__))
            return self._fs.created(lowerCAmelCase__)







       def 						a_		(					self,				lowerCAmelCase__) -> int:
            snake_case_   			=   posixpath.join(self.local_root_dir,				self._strip_protocol(lowerCAmelCase__))
            return self._fs.modified(lowerCAmelCase__)







       @classmethod
       def 						a_		(					cls,				lowerCAmelCase__) -> Any:
            snake_case_   			=   stringify_path(lowerCAmelCase__)
            if path.startswith('mock://'):
                 snake_case_   			=   path[7:]
            return path




class 					UpperCamelCase   (							lowerCAmelCase__  ):
       SCREAMING_SNAKE_CASE_						      = "tmp"
       SCREAMING_SNAKE_CASE_						      = None







       def __init__(					self,				*lowerCAmelCase__,				**lowerCAmelCase__) -> str:
            assert self.tmp_dir is not None, "TmpDirFileSystem.tmp_dir is not set"
            super().__init__(*lowerCAmelCase__,				**lowerCAmelCase__,				local_root_dir=self.tmp_dir,				auto_mkdir=lowerCAmelCase__)







       @classmethod
       def 						a_		(					cls,				lowerCAmelCase__) -> List[str]:
            snake_case_   			=   stringify_path(lowerCAmelCase__)
            if path.startswith('tmp://'):
                 snake_case_   			=   path[6:]
            return path







@pytest.fixture
def    UpperCAmelCase       (						)							-> Tuple:
     snake_case_   			=   MockFileSystem
     snake_case_   			=   TmpDirFileSystem
     yield
     del _fsspec_registry["mock"]
     del _fsspec_registry["tmp"]







@pytest.fixture
def    UpperCAmelCase       (						UpperCAmelCase		,   UpperCAmelCase   )							-> Tuple:
     snake_case_   			=   tmp_path_factory.mktemp('mockfs'   )
     return MockFileSystem(local_root_dir=UpperCAmelCase		,   auto_mkdir=UpperCAmelCase   )







@pytest.fixture
def    UpperCAmelCase       (						UpperCAmelCase		,   UpperCAmelCase   )							-> int:
     snake_case_   			=   tmp_path_factory.mktemp('tmpfs'   )
     with patch.object(UpperCAmelCase		,   'tmp_dir'		,   UpperCAmelCase   ):
          yield TmpDirFileSystem()

