code: 
  
  import os
  import unittest
  
  from transformers import ElectraTokenizerFast
  from transformers.models.electra.tokenization_electra import (
      VOCAB_FILES_NAMES,
      BasicTokenizer,
      ElectraTokenizer,
      WordpieceTokenizer,
      _is_control,
      _is_punctuation,
      _is_whitespace,
  )
  from transformers.testing_utils import require_tokenizers, slow
  
  from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english
  
  
  
  
  
  
  @require_tokenizers
  class    __A				(							a_						,						unittest.TestCase ):
  				lowerCAmelCase_							:		Dict						=							ElectraTokenizer
  				lowerCAmelCase_							:		Optional[int]						=							ElectraTokenizerFast
  				lowerCAmelCase_							:		int						=							True
  				lowerCAmelCase_							:		Any						=							True
  				lowerCAmelCase_							:		Tuple						=							filter_non_english
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    List[Any]    ):
  								super().setUp()
  
  								lowerCAmelCase				:			Optional[int]    			=      [
  								    '''[UNK]''',
  								    '''[CLS]''',
  								    '''[SEP]''',
  								    '''[PAD]''',
  								    '''[MASK]''',
  								    '''want''',
  								    '''##want''',
  								    '''##ed''',
  								    '''wa''',
  								    '''un''',
  								    '''runn''',
  								    '''##ing''',
  								    ''',''',
  								    '''low''',
  								    '''lowest''',
  								]
  								lowerCAmelCase				:			Optional[Any]    			=      os.path.join(self.tmpdirname    ,				VOCAB_FILES_NAMES['vocab_file']    )
  								with open(self.vocab_file    ,				'w'    ,				encoding='utf-8'    ) as vocab_writer:
  												vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]    )    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    List[Any]    ,				UpperCAmelCase_			:    List[Any]    ):
  								lowerCAmelCase				:			int    			=      '''UNwant\u00E9d,running'''
  								lowerCAmelCase				:			Optional[Any]    			=      '''unwanted, running'''
  								return input_text, output_text
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    Tuple    ):
  								lowerCAmelCase				:			List[str]    			=      self.tokenizer_class(self.vocab_file    )
  
  								lowerCAmelCase				:			Optional[int]    			=      tokenizer.tokenize('UNwant\u00E9d,running'    )
  								self.assertListEqual(_snake_case    ,				['un', '##want', '##ed', ',', 'runn', '##ing']    )
  								self.assertListEqual(tokenizer.convert_tokens_to_ids(_snake_case    )    ,				[9, 6, 7, 12, 10, 11]    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    Optional[Any]    ):
  								if not self.test_rust_tokenizer:
  												return
  
  								lowerCAmelCase				:			Dict    			=      self.get_tokenizer()
  								lowerCAmelCase				:			int    			=      self.get_rust_tokenizer()
  
  								lowerCAmelCase				:			Union[str, Any]    			=      '''UNwant\u00E9d,running'''
  
  								lowerCAmelCase				:			List[str]    			=      tokenizer.tokenize(_snake_case    )
  								lowerCAmelCase				:			Optional[Any]    			=      rust_tokenizer.tokenize(_snake_case    )
  								self.assertListEqual(_snake_case    ,				_snake_case    )
  
  								lowerCAmelCase				:			Union[str, Any]    			=      tokenizer.encode(_snake_case    ,				add_special_tokens=_snake_case    )
  								lowerCAmelCase				:			Optional[Any]    			=      rust_tokenizer.encode(_snake_case    ,				add_special_tokens=_snake_case    )
  								self.assertListEqual(_snake_case    ,				_snake_case    )
  
  								lowerCAmelCase				:			Any    			=      self.get_rust_tokenizer()
  								lowerCAmelCase				:			List[Any]    			=      tokenizer.encode(_snake_case    )
  								lowerCAmelCase				:			List[str]    			=      rust_tokenizer.encode(_snake_case    )
  								self.assertListEqual(_snake_case    ,				_snake_case    )
  
  								# With lower casing
  								lowerCAmelCase				:			str    			=      self.get_tokenizer(do_lower_case=_snake_case    )
  								lowerCAmelCase				:			int    			=      self.get_rust_tokenizer(do_lower_case=_snake_case    )
  
  								lowerCAmelCase				:			Optional[Any]    			=      '''UNwant\u00E9d,running'''
  
  								lowerCAmelCase				:			int    			=      tokenizer.tokenize(_snake_case    )
  								lowerCAmelCase				:			int    			=      rust_tokenizer.tokenize(_snake_case    )
  								self.assertListEqual(_snake_case    ,				_snake_case    )
  
  								lowerCAmelCase				:			List[Any]    			=      tokenizer.encode(_snake_case    ,				add_special_tokens=_snake_case    )
  								lowerCAmelCase				:			Optional[int]    			=      rust_tokenizer.encode(_snake_case    ,				add_special_tokens=_snake_case    )
  								self.assertListEqual(_snake_case    ,				_snake_case    )
  
  								lowerCAmelCase				:			Optional[int]    			=      self.get_rust_tokenizer()
  								lowerCAmelCase				:			Dict    			=      tokenizer.encode(_snake_case    )
  								lowerCAmelCase				:			List[Any]    			=      rust_tokenizer.encode(_snake_case    )
  								self.assertListEqual(_snake_case    ,				_snake_case    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    Tuple    ):
  								lowerCAmelCase				:			int    			=      BasicTokenizer()
  
  								self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'    )    ,				['ah', '\u535A', '\u63A8', 'zz']    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    str    ):
  								lowerCAmelCase				:			List[str]    			=      BasicTokenizer(do_lower_case=_snake_case    )
  
  								self.assertListEqual(
  								    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '    )    ,				['hello', '!', 'how', 'are', 'you', '?']    )
  								self.assertListEqual(tokenizer.tokenize('H\u00E9llo'    )    ,				['hello']    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    str    ):
  								lowerCAmelCase				:			int    			=      BasicTokenizer(do_lower_case=_snake_case    ,				strip_accents=_snake_case    )
  
  								self.assertListEqual(
  								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '    )    ,				['hällo', '!', 'how', 'are', 'you', '?']    )
  								self.assertListEqual(tokenizer.tokenize('H\u00E9llo'    )    ,				['h\u00E9llo']    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    Optional[int]    ):
  								lowerCAmelCase				:			Optional[Any]    			=      BasicTokenizer(do_lower_case=_snake_case    ,				strip_accents=_snake_case    )
  
  								self.assertListEqual(
  								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '    )    ,				['hallo', '!', 'how', 'are', 'you', '?']    )
  								self.assertListEqual(tokenizer.tokenize('H\u00E9llo'    )    ,				['hello']    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    Optional[Any]    ):
  								lowerCAmelCase				:			Any    			=      BasicTokenizer(do_lower_case=_snake_case    )
  
  								self.assertListEqual(
  								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '    )    ,				['hallo', '!', 'how', 'are', 'you', '?']    )
  								self.assertListEqual(tokenizer.tokenize('H\u00E9llo'    )    ,				['hello']    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    Tuple    ):
  								lowerCAmelCase				:			str    			=      BasicTokenizer(do_lower_case=_snake_case    )
  
  								self.assertListEqual(
  								    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '    )    ,				['HeLLo', '!', 'how', 'Are', 'yoU', '?']    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    Any    ):
  								lowerCAmelCase				:			Tuple    			=      BasicTokenizer(do_lower_case=_snake_case    ,				strip_accents=_snake_case    )
  
  								self.assertListEqual(
  								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '    )    ,				['HäLLo', '!', 'how', 'Are', 'yoU', '?']    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    List[str]    ):
  								lowerCAmelCase				:			Union[str, Any]    			=      BasicTokenizer(do_lower_case=_snake_case    ,				strip_accents=_snake_case    )
  
  								self.assertListEqual(
  								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '    )    ,				['HaLLo', '!', 'how', 'Are', 'yoU', '?']    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    List[Any]    ):
  								lowerCAmelCase				:			Any    			=      BasicTokenizer(do_lower_case=_snake_case    ,				never_split=['[UNK]']    )
  
  								self.assertListEqual(
  								    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'    )    ,				['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    Optional[int]    ):
  								lowerCAmelCase				:			Union[str, Any]    			=      ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']
  
  								lowerCAmelCase				:			Union[str, Any]    			=      {}
  								for i, token in enumerate(_snake_case    ):
  												lowerCAmelCase				:			Optional[int]    			=      i
  								lowerCAmelCase				:			Any    			=      WordpieceTokenizer(vocab=_snake_case    ,				unk_token='[UNK]'    )
  
  								self.assertListEqual(tokenizer.tokenize(''    )    ,				[]    )
  
  								self.assertListEqual(tokenizer.tokenize('unwanted running'    )    ,				['un', '##want', '##ed', 'runn', '##ing']    )
  
  								self.assertListEqual(tokenizer.tokenize('unwantedX running'    )    ,				['[UNK]', 'runn', '##ing']    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    int    ):
  								self.assertTrue(_is_whitespace(' '    )    )
  								self.assertTrue(_is_whitespace('\t'    )    )
  								self.assertTrue(_is_whitespace('\r'    )    )
  								self.assertTrue(_is_whitespace('\n'    )    )
  								self.assertTrue(_is_whitespace('\u00A0'    )    )
  
  								self.assertFalse(_is_whitespace('A'    )    )
  								self.assertFalse(_is_whitespace('-'    )    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    List[Any]    ):
  								self.assertTrue(_is_control('\u0005'    )    )
  
  								self.assertFalse(_is_control('A'    )    )
  								self.assertFalse(_is_control(' '    )    )
  								self.assertFalse(_is_control('\t'    )    )
  								self.assertFalse(_is_control('\r'    )    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    Dict    ):
  								self.assertTrue(_is_punctuation('-'    )    )
  								self.assertTrue(_is_punctuation('$'    )    )
  								self.assertTrue(_is_punctuation('`'    )    )
  								self.assertTrue(_is_punctuation('.'    )    )
  
  								self.assertFalse(_is_punctuation('A'    )    )
  								self.assertFalse(_is_punctuation(' '    )    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    str    ):
  								lowerCAmelCase				:			Optional[int]    			=      self.get_tokenizer()
  								lowerCAmelCase				:			List[str]    			=      self.get_rust_tokenizer()
  
  								# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
  								self.assertListEqual([tokenizer.tokenize(_snake_case    ) for t in ['Test', '\xad', 'test']]    ,				[['[UNK]'], [], ['[UNK]']]    )
  
  								self.assertListEqual(
  								    [rust_tokenizer.tokenize(_snake_case    ) for t in ['Test', '\xad', 'test']]    ,				[['[UNK]'], [], ['[UNK]']]    )
  
  
  
  
  
  
  				@slow
  				def 	lowercase__ (	self			:    str    ):
  								lowerCAmelCase				:			str    			=      self.tokenizer_class.from_pretrained('google/electra-base-discriminator'    )
  
  								lowerCAmelCase				:			List[str]    			=      tokenizer.encode('sequence builders'    ,				add_special_tokens=_snake_case    )
  								lowerCAmelCase				:			Dict    			=      tokenizer.encode('multi-sequence build'    ,				add_special_tokens=_snake_case    )
  
  								lowerCAmelCase				:			Any    			=      tokenizer.build_inputs_with_special_tokens(_snake_case    )
  								lowerCAmelCase				:			int    			=      tokenizer.build_inputs_with_special_tokens(_snake_case    ,				_snake_case    )
  
  								assert encoded_sentence == [101] + text + [102]
  								assert encoded_pair == [101] + text + [102] + text_a + [102]
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    Dict    ):
  								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  												with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"    ):
  																lowerCAmelCase				:			Any    			=      self.rust_tokenizer_class.from_pretrained(_snake_case    ,				**_snake_case    )
  
  																lowerCAmelCase				:			Tuple    			=      f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
  																lowerCAmelCase				:			str    			=      tokenizer_r.encode_plus(
  																    _snake_case    ,				return_attention_mask=_snake_case    ,				return_token_type_ids=_snake_case    ,				return_offsets_mapping=_snake_case    ,				add_special_tokens=_snake_case    ,				)
  
  																lowerCAmelCase				:			List[Any]    			=      tokenizer_r.do_lower_case if hasattr(_snake_case    ,				'do_lower_case'    ) else False
  																lowerCAmelCase				:			int    			=      (
  																    [
  																        ((0, 0), tokenizer_r.cls_token),
  																        ((0, 1), '''A'''),
  																        ((1, 2), ''','''),
  																        ((3, 5), '''na'''),
  																        ((5, 6), '''##ï'''),
  																        ((6, 8), '''##ve'''),
  																        ((9, 15), tokenizer_r.mask_token),
  																        ((16, 21), '''Allen'''),
  																        ((21, 23), '''##NL'''),
  																        ((23, 24), '''##P'''),
  																        ((25, 33), '''sentence'''),
  																        ((33, 34), '''.'''),
  																        ((0, 0), tokenizer_r.sep_token),
  																    ]
  																    if not do_lower_case
  																    else [
  																        ((0, 0), tokenizer_r.cls_token),
  																        ((0, 1), '''a'''),
  																        ((1, 2), ''','''),
  																        ((3, 8), '''naive'''),
  																        ((9, 15), tokenizer_r.mask_token),
  																        ((16, 21), '''allen'''),
  																        ((21, 23), '''##nl'''),
  																        ((23, 24), '''##p'''),
  																        ((25, 33), '''sentence'''),
  																        ((33, 34), '''.'''),
  																        ((0, 0), tokenizer_r.sep_token),
  																    ]
  																)
  
  																self.assertEqual(
  																    [e[1] for e in expected_results]    ,				tokenizer_r.convert_ids_to_tokens(tokens['input_ids']    )    )
  																self.assertEqual([e[0] for e in expected_results]    ,				tokens['offset_mapping']    )
  
  
  
  
  
  
  				def 	lowercase__ (	self			:    Any    ):
  								lowerCAmelCase				:			List[Any]    			=      ['''的''', '''人''', '''有''']
  								lowerCAmelCase				:			Dict    			=      ''''''.join(_snake_case    )
  								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  												with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"    ):
  																lowerCAmelCase				:			str    			=      True
  																lowerCAmelCase				:			str    			=      self.tokenizer_class.from_pretrained(_snake_case    ,				**_snake_case    )
  																lowerCAmelCase				:			List[str]    			=      self.rust_tokenizer_class.from_pretrained(_snake_case    ,				**_snake_case    )
  
  																lowerCAmelCase				:			Union[str, Any]    			=      tokenizer_p.encode(_snake_case    ,				add_special_tokens=_snake_case    )
  																lowerCAmelCase				:			Dict    			=      tokenizer_r.encode(_snake_case    ,				add_special_tokens=_snake_case    )
  
  																lowerCAmelCase				:			Optional[int]    			=      tokenizer_r.convert_ids_to_tokens(_snake_case    )
  																lowerCAmelCase				:			Union[str, Any]    			=      tokenizer_p.convert_ids_to_tokens(_snake_case    )
  
  																# it is expected that each Chinese character is not preceded by "##"
  																self.assertListEqual(_snake_case    ,				_snake_case    )
  																self.assertListEqual(_snake_case    ,				_snake_case    )
  
  																lowerCAmelCase				:			Union[str, Any]    			=      False
  																lowerCAmelCase				:			Any    			=      self.rust_tokenizer_class.from_pretrained(_snake_case    ,				**_snake_case    )
  																lowerCAmelCase				:			Dict    			=      self.tokenizer_class.from_pretrained(_snake_case    ,				**_snake_case    )
  
  																lowerCAmelCase				:			int    			=      tokenizer_r.encode(_snake_case    ,				add_special_tokens=_snake_case    )
  																lowerCAmelCase				:			Dict    			=      tokenizer_p.encode(_snake_case    ,				add_special_tokens=_snake_case    )
  
  																lowerCAmelCase				:			List[Any]    			=      tokenizer_r.convert_ids_to_tokens(_snake_case    )
  																lowerCAmelCase				:			Tuple    			=      tokenizer_p.convert_ids_to_tokens(_snake_case    )
  
  																# it is expected that only the first Chinese character is not preceded by "##".
  																lowerCAmelCase				:			Any    			=      [
  																    f"##{token}" if idx != 0 else token for idx, token in enumerate(_snake_case    )
  																]
  																self.assertListEqual(_snake_case    ,				_snake_case    )
  																self.assertListEqual(_snake_case    ,				_snake_case    )
  
  
  
  
  
  
style_context: 
  
  import torch
  
  from diffusers import KDPMaAncestralDiscreteScheduler
  from diffusers.utils import torch_device
  
  from .test_schedulers import SchedulerCommonTest
  
  
  
  
  
  
  class    __A				(							lowerCAmelCase ):
      lowerCAmelCase_							:		List[str]						=							(KDPMaAncestralDiscreteScheduler,)
      lowerCAmelCase_							:		Dict						=							10
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Any    ,				**UpperCAmelCase_			:    List[Any]    ):
          lowerCAmelCase				:			int    			=      {
              'num_train_timesteps': 1100,
              'beta_start': 0.00_01,
              'beta_end': 0.02,
              'beta_schedule': 'linear',
          }
  
          config.update(**UpperCAmelCase_    )
          return config
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Optional[Any]    ):
          for timesteps in [10, 50, 100, 1000]:
              self.check_over_configs(num_train_timesteps=UpperCAmelCase_    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    List[str]    ):
          for beta_start, beta_end in zip([0.0_00_01, 0.00_01, 0.0_01]    ,				[0.00_02, 0.0_02, 0.02]    ):
              self.check_over_configs(beta_start=UpperCAmelCase_    ,				beta_end=UpperCAmelCase_    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Optional[int]    ):
          for schedule in ["linear", "scaled_linear"]:
              self.check_over_configs(beta_schedule=UpperCAmelCase_    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    int    ):
          if torch_device == "mps":
              return
          lowerCAmelCase				:			Any    			=      self.scheduler_classes[0]
          lowerCAmelCase				:			Optional[int]    			=      self.get_scheduler_config()
          lowerCAmelCase				:			List[str]    			=      scheduler_class(**UpperCAmelCase_    )
  
          scheduler.set_timesteps(self.num_inference_steps    )
  
          lowerCAmelCase				:			Any    			=      torch.manual_seed(0    )
  
          lowerCAmelCase				:			List[Any]    			=      self.dummy_model()
          lowerCAmelCase				:			List[Any]    			=      self.dummy_sample_deter * scheduler.init_noise_sigma
          lowerCAmelCase				:			Optional[int]    			=      sample.to(UpperCAmelCase_    )
  
          for i, t in enumerate(scheduler.timesteps    ):
              lowerCAmelCase				:			str    			=      scheduler.scale_model_input(UpperCAmelCase_    ,				UpperCAmelCase_    )
  
              lowerCAmelCase				:			Any    			=      model(UpperCAmelCase_    ,				UpperCAmelCase_    )
  
              lowerCAmelCase				:			Optional[Any]    			=      scheduler.step(UpperCAmelCase_    ,				UpperCAmelCase_    ,				UpperCAmelCase_    ,				generator=UpperCAmelCase_    )
              lowerCAmelCase				:			Union[str, Any]    			=      output.prev_sample
  
          lowerCAmelCase				:			List[Any]    			=      torch.sum(torch.abs(UpperCAmelCase_    )    )
          lowerCAmelCase				:			Any    			=      torch.mean(torch.abs(UpperCAmelCase_    )    )
  
          assert abs(result_sum.item() - 1_38_49.38_77    ) < 1E-2
          assert abs(result_mean.item() - 18.03_31    ) < 5E-3
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Tuple    ):
          for prediction_type in ["epsilon", "v_prediction"]:
              self.check_over_configs(prediction_type=UpperCAmelCase_    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    List[str]    ):
          if torch_device == "mps":
              return
          lowerCAmelCase				:			Optional[Any]    			=      self.scheduler_classes[0]
          lowerCAmelCase				:			List[Any]    			=      self.get_scheduler_config(prediction_type='v_prediction'    )
          lowerCAmelCase				:			Any    			=      scheduler_class(**UpperCAmelCase_    )
  
          scheduler.set_timesteps(self.num_inference_steps    )
  
          lowerCAmelCase				:			Optional[int]    			=      self.dummy_model()
          lowerCAmelCase				:			Any    			=      self.dummy_sample_deter * scheduler.init_noise_sigma
          lowerCAmelCase				:			Optional[int]    			=      sample.to(UpperCAmelCase_    )
  
          lowerCAmelCase				:			Optional[int]    			=      torch.manual_seed(0    )
  
          for i, t in enumerate(scheduler.timesteps    ):
              lowerCAmelCase				:			Dict    			=      scheduler.scale_model_input(UpperCAmelCase_    ,				UpperCAmelCase_    )
  
              lowerCAmelCase				:			Optional[int]    			=      model(UpperCAmelCase_    ,				UpperCAmelCase_    )
  
              lowerCAmelCase				:			Optional[int]    			=      scheduler.step(UpperCAmelCase_    ,				UpperCAmelCase_    ,				UpperCAmelCase_    ,				generator=UpperCAmelCase_    )
              lowerCAmelCase				:			str    			=      output.prev_sample
  
          lowerCAmelCase				:			str    			=      torch.sum(torch.abs(UpperCAmelCase_    )    )
          lowerCAmelCase				:			Tuple    			=      torch.mean(torch.abs(UpperCAmelCase_    )    )
  
          assert abs(result_sum.item() - 3_28.99_70    ) < 1E-2
          assert abs(result_mean.item() - 0.42_84    ) < 1E-3
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Tuple    ):
          if torch_device == "mps":
              return
          lowerCAmelCase				:			str    			=      self.scheduler_classes[0]
          lowerCAmelCase				:			Dict    			=      self.get_scheduler_config()
          lowerCAmelCase				:			List[str]    			=      scheduler_class(**UpperCAmelCase_    )
  
          scheduler.set_timesteps(self.num_inference_steps    ,				device=UpperCAmelCase_    )
          lowerCAmelCase				:			int    			=      torch.manual_seed(0    )
  
          lowerCAmelCase				:			Tuple    			=      self.dummy_model()
          lowerCAmelCase				:			Optional[Any]    			=      self.dummy_sample_deter.to(UpperCAmelCase_    ) * scheduler.init_noise_sigma
  
          for t in scheduler.timesteps:
              lowerCAmelCase				:			str    			=      scheduler.scale_model_input(UpperCAmelCase_    ,				UpperCAmelCase_    )
  
              lowerCAmelCase				:			List[Any]    			=      model(UpperCAmelCase_    ,				UpperCAmelCase_    )
  
              lowerCAmelCase				:			Dict    			=      scheduler.step(UpperCAmelCase_    ,				UpperCAmelCase_    ,				UpperCAmelCase_    ,				generator=UpperCAmelCase_    )
              lowerCAmelCase				:			Dict    			=      output.prev_sample
  
          lowerCAmelCase				:			Union[str, Any]    			=      torch.sum(torch.abs(UpperCAmelCase_    )    )
          lowerCAmelCase				:			str    			=      torch.mean(torch.abs(UpperCAmelCase_    )    )
  
          assert abs(result_sum.item() - 1_38_49.38_18    ) < 1E-1
          assert abs(result_mean.item() - 18.03_31    ) < 1E-3
  
  
  
  
  
  