


import unittest

from diffusers.models.unet_ad_blocks import *  # noqa F403
from diffusers.utils import torch_device

from .test_unet_blocks_common import UNetBlockTesterMixin


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Optional[Any]     =					DownBlockaD  # noqa F405
							_lowercase      :     Dict     =					'''down'''

							def  lowerCamelCase_					(				self:      List[str]				)     ->  Tuple:





									"""simple docstring"""







									lowercase__				= [-0.0232, -0.9869, 0.8054, -0.0637, -0.1688, -1.4264, 0.4470, -1.3394, 0.0904]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     List[str]     =					ResnetDownsampleBlockaD  # noqa F405
							_lowercase      :     Tuple     =					'''down'''

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





									"""simple docstring"""







									lowercase__				= [0.0710, 0.2410, -0.7320, -1.0757, -1.1343, 0.3540, -0.0133, -0.2576, 0.0948]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Any     =					AttnDownBlockaD  # noqa F405
							_lowercase      :     List[Any]     =					'''down'''

							def  lowerCamelCase_					(				self:      Dict				)     ->  List[str]:





									"""simple docstring"""







									lowercase__				= [0.0636, 0.8964, -0.6234, -1.0131, 0.0844, 0.4935, 0.3437, 0.0911, -0.2957]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Tuple     =					CrossAttnDownBlockaD  # noqa F405
							_lowercase      :     Optional[int]     =					'''down'''

							def  lowerCamelCase_					(				self:      Optional[Any]				)     ->  Any:





									"""simple docstring"""







									lowercase__	,						lowercase__				= super().prepare_init_args_and_inputs_for_common()
									lowercase__				= 32
									return init_dict, inputs_dict


							def  lowerCamelCase_					(				self:      str				)     ->  Tuple:





									"""simple docstring"""







									lowercase__				= [0.2238, -0.7396, -0.2255, -0.3829, 0.1925, 1.1665, 0.0603, -0.7295, 0.1983]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Any     =					SimpleCrossAttnDownBlockaD  # noqa F405
							_lowercase      :     str     =					'''down'''

							@property
							def  lowerCamelCase_					(				self:      Optional[Any]				)     ->  List[Any]:





									"""simple docstring"""







									return super().get_dummy_input(include_encoder_hidden_states=UpperCamelCase_				)

							def  lowerCamelCase_					(				self:      List[str]				)     ->  List[str]:





									"""simple docstring"""







									lowercase__	,						lowercase__				= super().prepare_init_args_and_inputs_for_common()
									lowercase__				= 32
									return init_dict, inputs_dict


							@unittest.skipIf(torch_device == '''mps'''       ,		'''MPS result is not consistent'''				)
							def  lowerCamelCase_					(				self:      Any				)     ->  int:





									"""simple docstring"""







									lowercase__				= [0.7921, -0.0992, -0.1962, -0.7695, -0.4242, 0.7804, 0.4737, 0.2765, 0.3338]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Tuple     =					SkipDownBlockaD  # noqa F405
							_lowercase      :     Tuple     =					'''down'''

							@property
							def  lowerCamelCase_					(				self:      Union[str, Any]				)     ->  List[str]:





									"""simple docstring"""







									return super().get_dummy_input(include_skip_sample=UpperCamelCase_				)


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





									"""simple docstring"""







									lowercase__				= [-0.0845, -0.2087, -0.2465, 0.0971, 0.1900, -0.0484, 0.2664, 0.4179, 0.5069]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Optional[int]     =					AttnSkipDownBlockaD  # noqa F405
							_lowercase      :     Optional[int]     =					'''down'''

							@property
							def  lowerCamelCase_					(				self:      str				)     ->  int:





									"""simple docstring"""







									return super().get_dummy_input(include_skip_sample=UpperCamelCase_				)


							def  lowerCamelCase_					(				self:      Tuple				)     ->  Any:





									"""simple docstring"""







									lowercase__				= [0.5539, 0.1609, 0.4924, 0.0537, -0.1995, 0.4050, 0.0979, -0.2721, -0.0642]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     int     =					DownEncoderBlockaD  # noqa F405
							_lowercase      :     List[Any]     =					'''down'''

							@property
							def  lowerCamelCase_					(				self:      List[str]				)     ->  str:





									"""simple docstring"""







									return super().get_dummy_input(include_temb=UpperCamelCase_				)

							def  lowerCamelCase_					(				self:      Any				)     ->  List[Any]:





									"""simple docstring"""







									lowercase__				= {
									    '''in_channels''': 32,
									    '''out_channels''': 32,
									}
									lowercase__				= self.dummy_input
									return init_dict, inputs_dict


							def  lowerCamelCase_					(				self:      str				)     ->  Dict:





									"""simple docstring"""







									lowercase__				= [1.1102, 0.5302, 0.4872, -0.0023, -0.8042, 0.0483, -0.3489, -0.5632, 0.7626]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     List[str]     =					AttnDownEncoderBlockaD  # noqa F405
							_lowercase      :     int     =					'''down'''

							@property
							def  lowerCamelCase_					(				self:      Dict				)     ->  Optional[Any]:





									"""simple docstring"""







									return super().get_dummy_input(include_temb=UpperCamelCase_				)

							def  lowerCamelCase_					(				self:      str				)     ->  List[str]:





									"""simple docstring"""







									lowercase__				= {
									    '''in_channels''': 32,
									    '''out_channels''': 32,
									}
									lowercase__				= self.dummy_input
									return init_dict, inputs_dict


							def  lowerCamelCase_					(				self:      Union[str, Any]				)     ->  List[str]:





									"""simple docstring"""







									lowercase__				= [0.8966, -0.1486, 0.8568, 0.8141, -0.9046, -0.1342, -0.0972, -0.7417, 0.1538]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Union[str, Any]     =					UNetMidBlockaD  # noqa F405
							_lowercase      :     Union[str, Any]     =					'''mid'''

							def  lowerCamelCase_					(				self:      Any				)     ->  int:





									"""simple docstring"""







									lowercase__				= {
									    '''in_channels''': 32,
									    '''temb_channels''': 128,
									}
									lowercase__				= self.dummy_input
									return init_dict, inputs_dict


							def  lowerCamelCase_					(				self:      Any				)     ->  Any:





									"""simple docstring"""







									lowercase__				= [-0.1062, 1.7248, 0.3494, 1.4569, -0.0910, -1.2421, -0.9984, 0.6736, 1.0028]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Optional[int]     =					UNetMidBlockaDCrossAttn  # noqa F405
							_lowercase      :     str     =					'''mid'''

							def  lowerCamelCase_					(				self:      Union[str, Any]				)     ->  List[str]:





									"""simple docstring"""







									lowercase__	,						lowercase__				= super().prepare_init_args_and_inputs_for_common()
									lowercase__				= 32
									return init_dict, inputs_dict


							def  lowerCamelCase_					(				self:      Dict				)     ->  List[str]:





									"""simple docstring"""







									lowercase__				= [0.0187, 2.4220, 0.4484, 1.1203, -0.6121, -1.5122, -0.8270, 0.7851, 1.8335]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Tuple     =					UNetMidBlockaDSimpleCrossAttn  # noqa F405
							_lowercase      :     str     =					'''mid'''

							@property
							def  lowerCamelCase_					(				self:      int				)     ->  List[Any]:





									"""simple docstring"""







									return super().get_dummy_input(include_encoder_hidden_states=UpperCamelCase_				)

							def  lowerCamelCase_					(				self:      Optional[Any]				)     ->  Optional[Any]:





									"""simple docstring"""







									lowercase__	,						lowercase__				= super().prepare_init_args_and_inputs_for_common()
									lowercase__				= 32
									return init_dict, inputs_dict


							def  lowerCamelCase_					(				self:      Union[str, Any]				)     ->  int:





									"""simple docstring"""







									lowercase__				= [0.7143, 1.9974, 0.5448, 1.3977, 0.1282, -1.1237, -1.4238, 0.5530, 0.8880]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Union[str, Any]     =					UpBlockaD  # noqa F405
							_lowercase      :     Any     =					'''up'''

							@property
							def  lowerCamelCase_					(				self:      str				)     ->  str:





									"""simple docstring"""







									return super().get_dummy_input(include_res_hidden_states_tuple=UpperCamelCase_				)


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





									"""simple docstring"""







									lowercase__				= [-0.2041, -0.4165, -0.3022, 0.0041, -0.6628, -0.7053, 0.1928, -0.0325, 0.0523]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Tuple     =					ResnetUpsampleBlockaD  # noqa F405
							_lowercase      :     List[Any]     =					'''up'''

							@property
							def  lowerCamelCase_					(				self:      List[Any]				)     ->  Union[str, Any]:





									"""simple docstring"""







									return super().get_dummy_input(include_res_hidden_states_tuple=UpperCamelCase_				)


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





									"""simple docstring"""







									lowercase__				= [0.2287, 0.3549, -0.1346, 0.4797, -0.1715, -0.9649, 0.7305, -0.5864, -0.6244]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Any     =					CrossAttnUpBlockaD  # noqa F405
							_lowercase      :     List[str]     =					'''up'''

							@property
							def  lowerCamelCase_					(				self:      int				)     ->  Any:





									"""simple docstring"""







									return super().get_dummy_input(include_res_hidden_states_tuple=UpperCamelCase_				)

							def  lowerCamelCase_					(				self:      Any				)     ->  Any:





									"""simple docstring"""







									lowercase__	,						lowercase__				= super().prepare_init_args_and_inputs_for_common()
									lowercase__				= 32
									return init_dict, inputs_dict


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





									"""simple docstring"""







									lowercase__				= [-0.1403, -0.3515, -0.0420, -0.1425, 0.3167, 0.5094, -0.2181, 0.5931, 0.5582]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Union[str, Any]     =					SimpleCrossAttnUpBlockaD  # noqa F405
							_lowercase      :     Dict     =					'''up'''

							@property
							def  lowerCamelCase_					(				self:      List[str]				)     ->  Union[str, Any]:





									"""simple docstring"""







									return super().get_dummy_input(include_res_hidden_states_tuple=UpperCamelCase_       ,		include_encoder_hidden_states=UpperCamelCase_				)

							def  lowerCamelCase_					(				self:      str				)     ->  int:





									"""simple docstring"""







									lowercase__	,						lowercase__				= super().prepare_init_args_and_inputs_for_common()
									lowercase__				= 32
									return init_dict, inputs_dict


							def  lowerCamelCase_					(				self:      Union[str, Any]				)     ->  int:





									"""simple docstring"""







									lowercase__				= [0.2645, 0.1480, 0.0909, 0.8044, -0.9758, -0.9083, 0.0994, -1.1453, -0.7402]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     List[str]     =					AttnUpBlockaD  # noqa F405
							_lowercase      :     Optional[Any]     =					'''up'''

							@property
							def  lowerCamelCase_					(				self:      Tuple				)     ->  int:





									"""simple docstring"""







									return super().get_dummy_input(include_res_hidden_states_tuple=UpperCamelCase_				)


							@unittest.skipIf(torch_device == '''mps'''       ,		'''MPS result is not consistent'''				)
							def  lowerCamelCase_					(				self:      List[str]				)     ->  List[str]:





									"""simple docstring"""







									lowercase__				= [0.0979, 0.1326, 0.0021, 0.0659, 0.2249, 0.0059, 0.1132, 0.5952, 0.1033]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Dict     =					SkipUpBlockaD  # noqa F405
							_lowercase      :     Optional[int]     =					'''up'''

							@property
							def  lowerCamelCase_					(				self:      Dict				)     ->  int:





									"""simple docstring"""







									return super().get_dummy_input(include_res_hidden_states_tuple=UpperCamelCase_				)


							def  lowerCamelCase_					(				self:      Optional[Any]				)     ->  Dict:





									"""simple docstring"""







									lowercase__				= [-0.0893, -0.1234, -0.1506, -0.0332, 0.0123, -0.0211, 0.0566, 0.0143, 0.0362]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     List[str]     =					AttnSkipUpBlockaD  # noqa F405
							_lowercase      :     str     =					'''up'''

							@property
							def  lowerCamelCase_					(				self:      Optional[Any]				)     ->  Dict:





									"""simple docstring"""







									return super().get_dummy_input(include_res_hidden_states_tuple=UpperCamelCase_				)


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





									"""simple docstring"""







									lowercase__				= [0.0361, 0.0617, 0.2787, -0.0350, 0.0342, 0.3421, -0.0843, 0.0913, 0.3015]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Dict     =					UpDecoderBlockaD  # noqa F405
							_lowercase      :     Tuple     =					'''up'''

							@property
							def  lowerCamelCase_					(				self:      int				)     ->  str:





									"""simple docstring"""







									return super().get_dummy_input(include_temb=UpperCamelCase_				)

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





									"""simple docstring"""







									lowercase__				= {'''in_channels''': 32, '''out_channels''': 32}

									lowercase__				= self.dummy_input
									return init_dict, inputs_dict


							def  lowerCamelCase_					(				self:      Tuple				)     ->  Any:





									"""simple docstring"""







									lowercase__				= [0.4404, 0.1998, -0.9886, -0.3320, -0.3128, -0.7034, -0.6955, -0.2338, -0.3137]
									super().test_output(UpperCamelCase_				)


class 			_a				(     UpperCamelCase__	,      unittest.TestCase     ):
							_lowercase      :     Optional[int]     =					AttnUpDecoderBlockaD  # noqa F405
							_lowercase      :     str     =					'''up'''

							@property
							def  lowerCamelCase_					(				self:      Optional[Any]				)     ->  Union[str, Any]:





									"""simple docstring"""







									return super().get_dummy_input(include_temb=UpperCamelCase_				)

							def  lowerCamelCase_					(				self:      Dict				)     ->  List[str]:





									"""simple docstring"""







									lowercase__				= {'''in_channels''': 32, '''out_channels''': 32}

									lowercase__				= self.dummy_input
									return init_dict, inputs_dict


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





									"""simple docstring"""







									lowercase__				= [0.6738, 0.4491, 0.1055, 1.0710, 0.7316, 0.3339, 0.3352, 0.1023, 0.3568]
									super().test_output(UpperCamelCase_				)









import unittest

import numpy as np

from transformers import MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING, TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING
from transformers.pipelines import AudioClassificationPipeline, pipeline
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_tf,
    require_torch,
    require_torchaudio,
    slow,
)

from .test_pipelines_common import ANY


@is_pipeline_test
class       __lowerCAmelCase					(       unittest.TestCase      ):


	'''simple docstring'''





	_A													=				MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING
	_A													=				TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING

	def    snake_case__(						self:						Optional[int],					lowerCamelCase_:						Tuple,					lowerCamelCase_:						List[Any],					lowerCamelCase_:						Optional[Any]			):
			lowercase__					:      int      =		AudioClassificationPipeline(model=lowerCamelCase_,					feature_extractor=lowerCamelCase_			)

			# test with a raw waveform
			lowercase__					:      Dict      =		np.zeros((34000,)			)
			lowercase__					:      Optional[int]      =		np.zeros((14000,)			)
			return audio_classifier, [audioa, audio]

	def    snake_case__(						self:						Optional[int],					lowerCamelCase_:						Tuple,					lowerCamelCase_:						str			):
			lowercase__   ,				lowercase__					:      List[str]      =		examples
			lowercase__					:      int      =		audio_classifier(lowerCamelCase_			)
			# by default a model is initialized with num_labels=2
			self.assertEqual(
			    lowerCamelCase_,					[
			        {'score': ANY(lowerCamelCase_			), 'label': ANY(lowerCamelCase_			)},
			        {'score': ANY(lowerCamelCase_			), 'label': ANY(lowerCamelCase_			)},
			    ],					)
			lowercase__					:      List[Any]      =		audio_classifier(lowerCamelCase_,					top_k=1			)
			self.assertEqual(
			    lowerCamelCase_,					[
			        {'score': ANY(lowerCamelCase_			), 'label': ANY(lowerCamelCase_			)},
			    ],					)

			self.run_torchaudio(lowerCamelCase_			)

	@require_torchaudio
	def    snake_case__(						self:						Dict,					lowerCamelCase_:						str			):
			import datasets

			# test with a local file
			lowercase__					:      Optional[Any]      =		datasets.load_dataset('hf-internal-testing/librispeech_asr_dummy',					'clean',					split='validation'			)
			lowercase__					:      int      =		dataset[0]['audio']['array']
			lowercase__					:      Tuple      =		audio_classifier(lowerCamelCase_			)
			self.assertEqual(
			    lowerCamelCase_,					[
			        {'score': ANY(lowerCamelCase_			), 'label': ANY(lowerCamelCase_			)},
			        {'score': ANY(lowerCamelCase_			), 'label': ANY(lowerCamelCase_			)},
			    ],					)

	@require_torch
	def    snake_case__(						self:						Optional[int]			):
			lowercase__					:      List[str]      =		'anton-l/wav2vec2-random-tiny-classifier'

			lowercase__					:      Tuple      =		pipeline('audio-classification',					model=lowerCamelCase_			)

			lowercase__					:      List[str]      =		np.ones((8000,)			)
			lowercase__					:      List[Any]      =		audio_classifier(lowerCamelCase_,					top_k=4			)

			lowercase__					:      List[str]      =		[
			    {'score': 0.0_8_4_2, 'label': 'no'},
			    {'score': 0.0_8_3_8, 'label': 'up'},
			    {'score': 0.0_8_3_7, 'label': 'go'},
			    {'score': 0.0_8_3_4, 'label': 'right'},
			]
			lowercase__					:      Optional[int]      =		[
			    {'score': 0.0_8_4_5, 'label': 'stop'},
			    {'score': 0.0_8_4_4, 'label': 'on'},
			    {'score': 0.0_8_4_1, 'label': 'right'},
			    {'score': 0.0_8_3_4, 'label': 'left'},
			]
			self.assertIn(nested_simplify(lowerCamelCase_,					decimals=4			),					[EXPECTED_OUTPUT, EXPECTED_OUTPUT_PT_2]			)

			lowercase__					:      Tuple      =		{'array': np.ones((8000,)			), 'sampling_rate': audio_classifier.feature_extractor.sampling_rate}
			lowercase__					:      Any      =		audio_classifier(lowerCamelCase_,					top_k=4			)
			self.assertIn(nested_simplify(lowerCamelCase_,					decimals=4			),					[EXPECTED_OUTPUT, EXPECTED_OUTPUT_PT_2]			)

	@require_torch
	@slow
	def    snake_case__(						self:						Optional[int]			):
			import datasets

			lowercase__					:      str      =		'superb/wav2vec2-base-superb-ks'

			lowercase__					:      Optional[int]      =		pipeline('audio-classification',					model=lowerCamelCase_			)
			lowercase__					:      List[Any]      =		datasets.load_dataset('anton-l/superb_dummy',					'ks',					split='test'			)

			lowercase__					:      Optional[Any]      =		np.array(dataset[3]['speech'],					dtype=np.floataa			)
			lowercase__					:      Optional[int]      =		audio_classifier(lowerCamelCase_,					top_k=4			)
			self.assertEqual(
			    nested_simplify(lowerCamelCase_,					decimals=3			),					[
			        {'score': 0.9_8_1, 'label': 'go'},
			        {'score': 0.0_0_7, 'label': 'up'},
			        {'score': 0.0_0_6, 'label': '_unknown_'},
			        {'score': 0.0_0_1, 'label': 'down'},
			    ],					)





	@require_tf
	@unittest.skip('Audio classification is not implemented for TF'			)
	def    snake_case__(						self:						int			):
			pass


