
"""simple docstring"""




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 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   DownBlockaD  # noqa F405
							UpperCAmelCase__      =   '''down'''

							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[-0.02_32, -0.98_69, 0.80_54, -0.06_37, -0.16_88, -1.42_64, 0.44_70, -1.33_94, 0.09_04]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   ResnetDownsampleBlockaD  # noqa F405
							UpperCAmelCase__      =   '''down'''

							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.07_10, 0.24_10, -0.73_20, -1.07_57, -1.13_43, 0.35_40, -0.01_33, -0.25_76, 0.09_48]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   AttnDownBlockaD  # noqa F405
							UpperCAmelCase__      =   '''down'''

							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.06_36, 0.89_64, -0.62_34, -1.01_31, 0.08_44, 0.49_35, 0.34_37, 0.09_11, -0.29_57]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   CrossAttnDownBlockaD  # noqa F405
							UpperCAmelCase__      =   '''down'''

							def _lowercase       (self     ):

									"""simple docstring"""







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







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.22_38, -0.73_96, -0.22_55, -0.38_29, 0.19_25, 1.16_65, 0.06_03, -0.72_95, 0.19_83]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   SimpleCrossAttnDownBlockaD  # noqa F405
							UpperCAmelCase__      =   '''down'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_encoder_hidden_states=SCREAMING_SNAKE_CASE_     )

							def _lowercase       (self     ):

									"""simple docstring"""







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







							@unittest.skipIf(torch_device == '''mps'''							,							'''MPS result is not consistent'''     )
							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.79_21, -0.09_92, -0.19_62, -0.76_95, -0.42_42, 0.78_04, 0.47_37, 0.27_65, 0.33_38]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   SkipDownBlockaD  # noqa F405
							UpperCAmelCase__      =   '''down'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_skip_sample=SCREAMING_SNAKE_CASE_     )







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[-0.08_45, -0.20_87, -0.24_65, 0.09_71, 0.19_00, -0.04_84, 0.26_64, 0.41_79, 0.50_69]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   AttnSkipDownBlockaD  # noqa F405
							UpperCAmelCase__      =   '''down'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_skip_sample=SCREAMING_SNAKE_CASE_     )







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.55_39, 0.16_09, 0.49_24, 0.05_37, -0.19_95, 0.40_50, 0.09_79, -0.27_21, -0.06_42]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   DownEncoderBlockaD  # noqa F405
							UpperCAmelCase__      =   '''down'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_temb=SCREAMING_SNAKE_CASE_     )

							def _lowercase       (self     ):

									"""simple docstring"""







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







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[1.11_02, 0.53_02, 0.48_72, -0.00_23, -0.80_42, 0.04_83, -0.34_89, -0.56_32, 0.76_26]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   AttnDownEncoderBlockaD  # noqa F405
							UpperCAmelCase__      =   '''down'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_temb=SCREAMING_SNAKE_CASE_     )

							def _lowercase       (self     ):

									"""simple docstring"""







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







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.89_66, -0.14_86, 0.85_68, 0.81_41, -0.90_46, -0.13_42, -0.09_72, -0.74_17, 0.15_38]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   UNetMidBlockaD  # noqa F405
							UpperCAmelCase__      =   '''mid'''

							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			{
									    '''in_channels''': 32,
									    '''temb_channels''': 1_28,
									}
									SCREAMING_SNAKE_CASE_    			=			self.dummy_input
									return init_dict, inputs_dict







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[-0.10_62, 1.72_48, 0.34_94, 1.45_69, -0.09_10, -1.24_21, -0.99_84, 0.67_36, 1.00_28]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   UNetMidBlockaDCrossAttn  # noqa F405
							UpperCAmelCase__      =   '''mid'''

							def _lowercase       (self     ):

									"""simple docstring"""







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







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.01_87, 2.42_20, 0.44_84, 1.12_03, -0.61_21, -1.51_22, -0.82_70, 0.78_51, 1.83_35]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   UNetMidBlockaDSimpleCrossAttn  # noqa F405
							UpperCAmelCase__      =   '''mid'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_encoder_hidden_states=SCREAMING_SNAKE_CASE_     )

							def _lowercase       (self     ):

									"""simple docstring"""







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







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.71_43, 1.99_74, 0.54_48, 1.39_77, 0.12_82, -1.12_37, -1.42_38, 0.55_30, 0.88_80]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   UpBlockaD  # noqa F405
							UpperCAmelCase__      =   '''up'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_     )







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[-0.20_41, -0.41_65, -0.30_22, 0.00_41, -0.66_28, -0.70_53, 0.19_28, -0.03_25, 0.05_23]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   ResnetUpsampleBlockaD  # noqa F405
							UpperCAmelCase__      =   '''up'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_     )







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.22_87, 0.35_49, -0.13_46, 0.47_97, -0.17_15, -0.96_49, 0.73_05, -0.58_64, -0.62_44]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   CrossAttnUpBlockaD  # noqa F405
							UpperCAmelCase__      =   '''up'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_     )

							def _lowercase       (self     ):

									"""simple docstring"""







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







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[-0.14_03, -0.35_15, -0.04_20, -0.14_25, 0.31_67, 0.50_94, -0.21_81, 0.59_31, 0.55_82]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   SimpleCrossAttnUpBlockaD  # noqa F405
							UpperCAmelCase__      =   '''up'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







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

							def _lowercase       (self     ):

									"""simple docstring"""







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







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.26_45, 0.14_80, 0.09_09, 0.80_44, -0.97_58, -0.90_83, 0.09_94, -1.14_53, -0.74_02]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   AttnUpBlockaD  # noqa F405
							UpperCAmelCase__      =   '''up'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_     )







							@unittest.skipIf(torch_device == '''mps'''							,							'''MPS result is not consistent'''     )
							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.09_79, 0.13_26, 0.00_21, 0.06_59, 0.22_49, 0.00_59, 0.11_32, 0.59_52, 0.10_33]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   SkipUpBlockaD  # noqa F405
							UpperCAmelCase__      =   '''up'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_     )







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[-0.08_93, -0.12_34, -0.15_06, -0.03_32, 0.01_23, -0.02_11, 0.05_66, 0.01_43, 0.03_62]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   AttnSkipUpBlockaD  # noqa F405
							UpperCAmelCase__      =   '''up'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_res_hidden_states_tuple=SCREAMING_SNAKE_CASE_     )







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.03_61, 0.06_17, 0.27_87, -0.03_50, 0.03_42, 0.34_21, -0.08_43, 0.09_13, 0.30_15]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   UpDecoderBlockaD  # noqa F405
							UpperCAmelCase__      =   '''up'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_temb=SCREAMING_SNAKE_CASE_     )

							def _lowercase       (self     ):

									"""simple docstring"""







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

									SCREAMING_SNAKE_CASE_    			=			self.dummy_input
									return init_dict, inputs_dict







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.44_04, 0.19_98, -0.98_86, -0.33_20, -0.31_28, -0.70_34, -0.69_55, -0.23_38, -0.31_37]
									super().test_output(SCREAMING_SNAKE_CASE_     )







class 			snake_case  (				__lowercase							,      unittest.TestCase ):
							UpperCAmelCase__      =   AttnUpDecoderBlockaD  # noqa F405
							UpperCAmelCase__      =   '''up'''

							@property
							def _lowercase       (self     ):

									"""simple docstring"""







									return super().get_dummy_input(include_temb=SCREAMING_SNAKE_CASE_     )

							def _lowercase       (self     ):

									"""simple docstring"""







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

									SCREAMING_SNAKE_CASE_    			=			self.dummy_input
									return init_dict, inputs_dict







							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[0.67_38, 0.44_91, 0.10_55, 1.07_10, 0.73_16, 0.33_39, 0.33_52, 0.10_23, 0.35_68]
									super().test_output(SCREAMING_SNAKE_CASE_     )

"""simple docstring"""




import datasets

from .evaluate import evaluate


lowerCAmelCase__				=					'\\n@inproceedings{Rajpurkar2016SQuAD10,\n  title={SQuAD: 100, 000+ Questions for Machine Comprehension of Text},\n  author={Pranav Rajpurkar and Jian Zhang and Konstantin Lopyrev and Percy Liang},\n  booktitle={EMNLP},\n  year={2016}\n}\n'

lowerCAmelCase__				=					'\nThis metric wrap the official scoring script for version 1 of the Stanford Question Answering Dataset (SQuAD).\n\nStanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by\ncrowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span,\nfrom the corresponding reading passage, or the question might be unanswerable.\n'

lowerCAmelCase__				=					'\nComputes SQuAD scores (F1 and EM).\nArgs:\n    predictions: List of question-answers dictionaries with the following key-values:\n        - \'id\': id of the question-answer pair as given in the references (see below)\n        - \'prediction_text\': the text of the answer\n    references: List of question-answers dictionaries with the following key-values:\n        - \'id\': id of the question-answer pair (see above),\n        - \'answers\': a Dict in the SQuAD dataset format\n            {\n                \'text\': list of possible texts for the answer, as a list of strings\n                \'answer_start\': list of start positions for the answer, as a list of ints\n            }\n            Note that answer_start values are not taken into account to compute the metric.\nReturns:\n    \'exact_match\': Exact match (the normalized answer exactly match the gold answer)\n    \'f1\': The F-score of predicted tokens versus the gold answer\nExamples:\n\n    >>> predictions = [{\'prediction_text\': \'1976\', \'id\': \'56e10a3be3433e1400422b22\'}]\n    >>> references = [{\'answers\': {\'answer_start\': [97], \'text\': [\'1976\']}, \'id\': \'56e10a3be3433e1400422b22\'}]\n    >>> squad_metric = datasets.load_metric("squad")\n    >>> results = squad_metric.compute(predictions=predictions, references=references)\n    >>> print(results)\n    {\'exact_match\': 100.0, \'f1\': 100.0}\n'





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

							def _lowercase       (self     ):

									"""simple docstring"""







									return datasets.MetricInfo(
									    description=_DESCRIPTION							,							citation=_CITATION							,							inputs_description=_KWARGS_DESCRIPTION							,							features=datasets.Features(
									        {
									            '''predictions''': {'''id''': datasets.Value('''string'''     ), '''prediction_text''': datasets.Value('''string'''     )},
									            '''references''': {
									                '''id''': datasets.Value('''string'''     ),
									                '''answers''': datasets.features.Sequence(
									                    {
									                        '''text''': datasets.Value('''string'''     ),
									                        '''answer_start''': datasets.Value('''int32'''     ),
									                    }     ),
									            },
									        }     )							,							codebase_urls=['''https://rajpurkar.github.io/SQuAD-explorer/''']							,							reference_urls=['''https://rajpurkar.github.io/SQuAD-explorer/''']							,							)







							def _lowercase       (self							,							SCREAMING_SNAKE_CASE_							,							SCREAMING_SNAKE_CASE_     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			{prediction['''id''']: prediction['''prediction_text'''] for prediction in predictions}
									SCREAMING_SNAKE_CASE_    			=			[
									    {
									        '''paragraphs''': [
									            {
									                '''qas''': [
									                    {
									                        '''answers''': [{'''text''': answer_text} for answer_text in ref['''answers''']['''text''']],
									                        '''id''': ref['''id'''],
									                    }
									                    for ref in references
									                ]
									            }
									        ]
									    }
									]
									SCREAMING_SNAKE_CASE_    			=			evaluate(dataset=SCREAMING_SNAKE_CASE_							,							predictions=SCREAMING_SNAKE_CASE_     )
									return score