


"""simple docstring"""
import unittest

from diffusers import __version__
from diffusers.utils import deprecate





class   __A  (unittest.TestCase):





							'''simple docstring'''

							__lowercase:		str				   =     """.""".join([str(int(__version__.split(""".""")[0]) + 1)] + __version__.split(""".""")[1:])
							__lowercase:		Union[str, Any]				   =     """0.0.1"""



							def 		lowerCAmelCase							(					self				:   Tuple							)       ->Optional[Any]:



														"""simple docstring"""



														snake_case_     							=		{'''deprecated_arg''': 4}

														with self.assertWarns(a__							) as warning:
																					snake_case_     							=		deprecate("""deprecated_arg"""		,							self.higher_version		,							"""message"""		,							take_from=a__							)

														assert output == 4
														assert (
														    str(warning.warning							)
														    == F"""The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}."""
														    " message"
														)



							def 		lowerCAmelCase							(					self				:   str							)       ->Optional[int]:



														"""simple docstring"""



														snake_case_     							=		{'''deprecated_arg''': 4}

														with self.assertWarns(a__							) as warning:
																					snake_case_     							=		deprecate(("""deprecated_arg""", self.higher_version, """message""")		,							take_from=a__							)

														assert output == 4
														assert (
														    str(warning.warning							)
														    == F"""The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}."""
														    " message"
														)



							def 		lowerCAmelCase							(					self				:   List[Any]							)       ->Optional[Any]:



														"""simple docstring"""



														snake_case_     							=		{'''deprecated_arg_1''': 4, '''deprecated_arg_2''': 8}
														with self.assertWarns(a__							) as warning:
																					snake_case_     							=		deprecate(
																					    ("""deprecated_arg_1""", self.higher_version, """Hey""")		,							("""deprecated_arg_2""", self.higher_version, """Hey""")		,							take_from=a__		,							)
														assert output_a == 4
														assert output_a == 8
														assert (
														    str(warning.warnings[0].message							)
														    == "The `deprecated_arg_1` argument is deprecated and will be removed in version"
														    F""" {self.higher_version}. Hey"""
														)
														assert (
														    str(warning.warnings[1].message							)
														    == "The `deprecated_arg_2` argument is deprecated and will be removed in version"
														    F""" {self.higher_version}. Hey"""
														)



							def 		lowerCAmelCase							(					self				:   List[Any]							)       ->Dict:



														"""simple docstring"""



														snake_case_     							=		{'''deprecated_arg''': 4}

														with self.assertRaises(a__							) as error:
																					deprecate(("""wrong_arg""", self.higher_version, """message""")		,							take_from=a__							)

														assert "test_deprecate_function_incorrect_arg in" in str(error.exception							)
														assert "line" in str(error.exception							)
														assert "got an unexpected keyword argument `deprecated_arg`" in str(error.exception							)



							def 		lowerCAmelCase							(					self				:   Optional[int]							)       ->Dict:



														"""simple docstring"""



														with self.assertWarns(a__							) as warning:
																					deprecate(("""deprecated_arg""", self.higher_version, """message""")							)

														assert (
														    str(warning.warning							)
														    == F"""`deprecated_arg` is deprecated and will be removed in version {self.higher_version}. message"""
														)



							def 		lowerCAmelCase							(					self				:   Union[str, Any]							)       ->Optional[Any]:



														"""simple docstring"""



														with self.assertWarns(a__							) as warning:
																					deprecate(
																					    ("""deprecated_arg_1""", self.higher_version, """Hey""")		,							("""deprecated_arg_2""", self.higher_version, """Hey""")		,							)
														assert (
														    str(warning.warnings[0].message							)
														    == F"""`deprecated_arg_1` is deprecated and will be removed in version {self.higher_version}. Hey"""
														)
														assert (
														    str(warning.warnings[1].message							)
														    == F"""`deprecated_arg_2` is deprecated and will be removed in version {self.higher_version}. Hey"""
														)



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



														"""simple docstring"""



														class   __A  :





																					'''simple docstring'''

																					__lowercase:		Any				   =     5

														with self.assertWarns(a__							) as warning:
																					snake_case_     							=		deprecate(("""arg""", self.higher_version, """message""")		,							take_from=Args()							)

														assert arg == 5
														assert (
														    str(warning.warning							)
														    == F"""The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message"""
														)



							def 		lowerCAmelCase							(					self				:   Tuple							)       ->Union[str, Any]:



														"""simple docstring"""



														class   __A  :





																					'''simple docstring'''

																					__lowercase:		Tuple				   =     5
																					__lowercase:		Optional[Any]				   =     7

														with self.assertWarns(a__							) as warning:
																					snake_case_     							=		deprecate(
																					    ("""arg""", self.higher_version, """message""")		,							("""foo""", self.higher_version, """message""")		,							("""does not exist""", self.higher_version, """message""")		,							take_from=Args()		,							)

														assert arg_a == 5
														assert arg_a == 7
														assert (
														    str(warning.warning							)
														    == F"""The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message"""
														)
														assert (
														    str(warning.warnings[0].message							)
														    == F"""The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message"""
														)
														assert (
														    str(warning.warnings[1].message							)
														    == F"""The `foo` attribute is deprecated and will be removed in version {self.higher_version}. message"""
														)



							def 		lowerCAmelCase							(					self				:   int							)       ->Dict:



														"""simple docstring"""



														snake_case_     							=		{'''deprecated_arg''': 4}

														with self.assertRaises(a__							) as error:
																					deprecate(("""wrong_arg""", self.lower_version, """message""")		,							take_from=a__							)

														assert (
														    str(error.exception							)
														    == "The deprecation tuple ('wrong_arg', '0.0.1', 'message') should be removed since diffusers' version"
														    F""" {__version__} is >= {self.lower_version}"""
														)



							def 		lowerCAmelCase							(					self				:   Dict							)       ->Tuple:



														"""simple docstring"""



														with self.assertWarns(a__							) as warning:
																					deprecate(("""deprecated_arg""", self.higher_version, """This message is better!!!""")		,							standard_warn=a__							)

														assert str(warning.warning							) == "This message is better!!!"



							def 		lowerCAmelCase							(					self				:   List[Any]							)       ->Optional[int]:



														"""simple docstring"""



														with self.assertWarns(a__							) as warning:
																					deprecate(("""deprecated_arg""", self.higher_version, """This message is better!!!""")		,							standard_warn=a__							)
														assert str(warning.warning							) == "This message is better!!!"
														assert "diffusers/tests/others/test_utils.py" in warning.filename







from sklearn.metrics import mean_absolute_error

import datasets


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

a					:				int       =      '\\nMean Absolute Error (MAE) is the mean of the magnitude of difference between the predicted and actual\nvalues.\n'


a					:				Any       =      '\nArgs:\n    predictions: array-like of shape (n_samples,) or (n_samples, n_outputs)\n        Estimated target values.\n    references: array-like of shape (n_samples,) or (n_samples, n_outputs)\n        Ground truth (correct) target values.\n    sample_weight: array-like of shape (n_samples,), default=None\n        Sample weights.\n    multioutput: {"raw_values", "uniform_average"} or array-like of shape (n_outputs,), default="uniform_average"\n        Defines aggregating of multiple output values. Array-like value defines weights used to average errors.\n\n                 "raw_values" : Returns a full set of errors in case of multioutput input.\n\n                 "uniform_average" : Errors of all outputs are averaged with uniform weight.\n\nReturns:\n    mae : mean absolute error.\n        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.\n        MAE output is non-negative floating point. The best value is 0.0.\nExamples:\n\n    >>> mae_metric = datasets.load_metric("mae")\n    >>> predictions = [2.5, 0.0, 2, 8]\n    >>> references = [3, -0.5, 2, 7]\n    >>> results = mae_metric.compute(predictions=predictions, references=references)\n    >>> print(results)\n    {\'mae\': 0.5}\n\n    If you\'re using multi-dimensional lists, then set the config as follows :\n\n    >>> mae_metric = datasets.load_metric("mae", "multilist")\n    >>> predictions = [[0.5, 1], [-1, 1], [7, -6]]\n    >>> references = [[0, 2], [-1, 2], [8, -5]]\n    >>> results = mae_metric.compute(predictions=predictions, references=references)\n    >>> print(results)\n    {\'mae\': 0.75}\n    >>> results = mae_metric.compute(predictions=predictions, references=references, multioutput=\'raw_values\')\n    >>> print(results)\n    {\'mae\': array([0.5, 1. ])}\n'

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

       def 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        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 					UpperCAmelCase					(      self       ):






        '''simple docstring'''






        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 					UpperCAmelCase					(      self						,    a__						,    a__						,    a__=None						,    a__="uniform_average"       ):






        '''simple docstring'''






        snake_case :			str							=   mean_absolute_error(a__						,    a__						,    sample_weight=a__						,    multioutput=a__       )

        return {"mae": mae_score}






