'''simple docstring'''

import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    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 					_lowercase						(   snake_case_		,unittest.TestCase ):
      '''simple docstring'''


      UpperCAmelCase_   :   Optional[int]   				= MobileBertTokenizer
      UpperCAmelCase_   :   Dict   				= MobileBertTokenizerFast
      UpperCAmelCase_   :   Optional[int]   				= True
      UpperCAmelCase_   :   Union[str, Any]   				= True
      UpperCAmelCase_   :   List[str]   				= filter_non_english
      UpperCAmelCase_   :   Any   				= '''google/mobilebert-uncased'''




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



         '''simple docstring'''



         super().setUp()

         UpperCAmelCase__				:					int 					=	[
             "[UNK]",
             "[CLS]",
             "[SEP]",
             "[PAD]",
             "[MASK]",
             "want",
             "##want",
             "##ed",
             "wa",
             "un",
             "runn",
             "##ing",
             ",",
             "low",
             "lowest",
         ]
         UpperCAmelCase__				:					Dict 					=	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]				)				)

         UpperCAmelCase__				:					Optional[int] 					=	[
             (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
             for tokenizer_def in self.tokenizers_list
         ]




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



         '''simple docstring'''



         UpperCAmelCase__				:					List[str] 					=	"UNwant\u00E9d,running"
         UpperCAmelCase__				:					str 					=	"unwanted, running"
         return input_text, output_text




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



         '''simple docstring'''



         UpperCAmelCase__				:					Dict 					=	self.tokenizer_class(self.vocab_file				)

         UpperCAmelCase__				:					Any 					=	tokenizer.tokenize('''UNwant\u00E9d,running'''				)
         self.assertListEqual(UpperCamelCase__       ,['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']				)
         self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__				)       ,[9, 6, 7, 12, 10, 11]				)




      def 		lowerCAmelCase__       (					self				)      ->      int:



         '''simple docstring'''



         if not self.test_rust_tokenizer:
            return

         UpperCAmelCase__				:					List[Any] 					=	self.get_tokenizer()
         UpperCAmelCase__				:					List[Any] 					=	self.get_rust_tokenizer()

         UpperCAmelCase__				:					str 					=	"UNwant\u00E9d,running"

         UpperCAmelCase__				:					List[Any] 					=	tokenizer.tokenize(UpperCamelCase__				)
         UpperCAmelCase__				:					List[Any] 					=	rust_tokenizer.tokenize(UpperCamelCase__				)
         self.assertListEqual(UpperCamelCase__       ,UpperCamelCase__				)

         UpperCAmelCase__				:					Any 					=	tokenizer.encode(UpperCamelCase__       ,add_special_tokens=UpperCamelCase__				)
         UpperCAmelCase__				:					Any 					=	rust_tokenizer.encode(UpperCamelCase__       ,add_special_tokens=UpperCamelCase__				)
         self.assertListEqual(UpperCamelCase__       ,UpperCamelCase__				)

         UpperCAmelCase__				:					str 					=	self.get_rust_tokenizer()
         UpperCAmelCase__				:					Dict 					=	tokenizer.encode(UpperCamelCase__				)
         UpperCAmelCase__				:					Dict 					=	rust_tokenizer.encode(UpperCamelCase__				)
         self.assertListEqual(UpperCamelCase__       ,UpperCamelCase__				)

         # With lower casing
         UpperCAmelCase__				:					Dict 					=	self.get_tokenizer(do_lower_case=UpperCamelCase__				)
         UpperCAmelCase__				:					Union[str, Any] 					=	self.get_rust_tokenizer(do_lower_case=UpperCamelCase__				)

         UpperCAmelCase__				:					Union[str, Any] 					=	"UNwant\u00E9d,running"

         UpperCAmelCase__				:					Optional[int] 					=	tokenizer.tokenize(UpperCamelCase__				)
         UpperCAmelCase__				:					Dict 					=	rust_tokenizer.tokenize(UpperCamelCase__				)
         self.assertListEqual(UpperCamelCase__       ,UpperCamelCase__				)

         UpperCAmelCase__				:					Optional[int] 					=	tokenizer.encode(UpperCamelCase__       ,add_special_tokens=UpperCamelCase__				)
         UpperCAmelCase__				:					Optional[int] 					=	rust_tokenizer.encode(UpperCamelCase__       ,add_special_tokens=UpperCamelCase__				)
         self.assertListEqual(UpperCamelCase__       ,UpperCamelCase__				)

         UpperCAmelCase__				:					int 					=	self.get_rust_tokenizer()
         UpperCAmelCase__				:					int 					=	tokenizer.encode(UpperCamelCase__				)
         UpperCAmelCase__				:					Any 					=	rust_tokenizer.encode(UpperCamelCase__				)
         self.assertListEqual(UpperCamelCase__       ,UpperCamelCase__				)




      def 		lowerCAmelCase__       (					self				)      ->      Tuple:



         '''simple docstring'''



         UpperCAmelCase__				:					List[str] 					=	BasicTokenizer()

         self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''				)       ,['''ah''', '''\u535A''', '''\u63A8''', '''zz''']				)




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



         '''simple docstring'''



         UpperCAmelCase__				:					Any 					=	BasicTokenizer(do_lower_case=UpperCamelCase__				)

         self.assertListEqual(
             tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''				)       ,['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']				)
         self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''				)       ,['''hello''']				)




      def 		lowerCAmelCase__       (					self				)      ->      int:



         '''simple docstring'''



         UpperCAmelCase__				:					Dict 					=	BasicTokenizer(do_lower_case=UpperCamelCase__       ,strip_accents=UpperCamelCase__				)

         self.assertListEqual(
             tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''				)       ,['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']				)
         self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''				)       ,['''h\u00E9llo''']				)




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



         '''simple docstring'''



         UpperCAmelCase__				:					Optional[int] 					=	BasicTokenizer(do_lower_case=UpperCamelCase__       ,strip_accents=UpperCamelCase__				)

         self.assertListEqual(
             tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''				)       ,['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']				)
         self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''				)       ,['''hello''']				)




      def 		lowerCAmelCase__       (					self				)      ->      Tuple:



         '''simple docstring'''



         UpperCAmelCase__				:					Tuple 					=	BasicTokenizer(do_lower_case=UpperCamelCase__				)

         self.assertListEqual(
             tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''				)       ,['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']				)
         self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''				)       ,['''hello''']				)




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



         '''simple docstring'''



         UpperCAmelCase__				:					List[str] 					=	BasicTokenizer(do_lower_case=UpperCamelCase__				)

         self.assertListEqual(
             tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''				)       ,['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']				)




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



         '''simple docstring'''



         UpperCAmelCase__				:					Optional[int] 					=	BasicTokenizer(do_lower_case=UpperCamelCase__       ,strip_accents=UpperCamelCase__				)

         self.assertListEqual(
             tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''				)       ,['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']				)




      def 		lowerCAmelCase__       (					self				)      ->      Tuple:



         '''simple docstring'''



         UpperCAmelCase__				:					List[Any] 					=	BasicTokenizer(do_lower_case=UpperCamelCase__       ,strip_accents=UpperCamelCase__				)

         self.assertListEqual(
             tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''				)       ,['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']				)




      def 		lowerCAmelCase__       (					self				)      ->      Any:



         '''simple docstring'''



         UpperCAmelCase__				:					List[str] 					=	BasicTokenizer(do_lower_case=UpperCamelCase__       ,never_split=['''[UNK]''']				)

         self.assertListEqual(
             tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''				)       ,['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']				)




      def 		lowerCAmelCase__       (					self				)      ->      Any:



         '''simple docstring'''



         UpperCAmelCase__				:					Any 					=	["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

         UpperCAmelCase__				:					Any 					=	{}
         for i, token in enumerate(UpperCamelCase__				):
            UpperCAmelCase__				:					Optional[int] 					=	i
         UpperCAmelCase__				:					List[str] 					=	WordpieceTokenizer(vocab=UpperCamelCase__       ,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 		lowerCAmelCase__       (					self				)      ->      Tuple:



         '''simple docstring'''



         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 		lowerCAmelCase__       (					self				)      ->      Tuple:



         '''simple docstring'''



         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 		lowerCAmelCase__       (					self				)      ->      List[Any]:



         '''simple docstring'''



         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 		lowerCAmelCase__       (					self				)      ->      List[str]:



         '''simple docstring'''



         UpperCAmelCase__				:					Any 					=	self.get_tokenizer()
         UpperCAmelCase__				:					int 					=	self.get_rust_tokenizer()

         # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
         self.assertListEqual([tokenizer.tokenize(UpperCamelCase__				) for t in ['''Test''', '''\xad''', '''test''']]       ,[['''[UNK]'''], [], ['''[UNK]''']]				)

         self.assertListEqual(
             [rust_tokenizer.tokenize(UpperCamelCase__				) for t in ['''Test''', '''\xad''', '''test''']]       ,[['''[UNK]'''], [], ['''[UNK]''']]				)




      @slow
      def 		lowerCAmelCase__       (					self				)      ->      Optional[int]:



         '''simple docstring'''



         UpperCAmelCase__				:					Optional[Any] 					=	self.tokenizer_class.from_pretrained('''google/mobilebert-uncased'''				)

         UpperCAmelCase__				:					Optional[int] 					=	tokenizer.encode('''sequence builders'''       ,add_special_tokens=UpperCamelCase__				)
         UpperCAmelCase__				:					List[str] 					=	tokenizer.encode('''multi-sequence build'''       ,add_special_tokens=UpperCamelCase__				)

         UpperCAmelCase__				:					int 					=	tokenizer.build_inputs_with_special_tokens(UpperCamelCase__				)
         UpperCAmelCase__				:					Optional[int] 					=	tokenizer.build_inputs_with_special_tokens(UpperCamelCase__       ,UpperCamelCase__				)

         assert encoded_sentence == [101] + text + [102]
         assert encoded_pair == [101] + text + [102] + text_a + [102]




      def 		lowerCAmelCase__       (					self				)      ->      Tuple:



         '''simple docstring'''



         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
            with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''				):
               UpperCAmelCase__				:					List[str] 					=	self.rust_tokenizer_class.from_pretrained(UpperCamelCase__       ,**UpperCamelCase__				)

               UpperCAmelCase__				:					Optional[int] 					=	f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
               UpperCAmelCase__				:					Union[str, Any] 					=	tokenizer_r.encode_plus(
                   UpperCamelCase__       ,return_attention_mask=UpperCamelCase__       ,return_token_type_ids=UpperCamelCase__       ,return_offsets_mapping=UpperCamelCase__       ,add_special_tokens=UpperCamelCase__       ,)

               UpperCAmelCase__				:					Optional[Any] 					=	tokenizer_r.do_lower_case if hasattr(UpperCamelCase__       ,'''do_lower_case'''				) else False
               UpperCAmelCase__				:					Optional[Any] 					=	(
                   [
                       ((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 		lowerCAmelCase__       (					self				)      ->      str:



         '''simple docstring'''



         UpperCAmelCase__				:					List[str] 					=	["的", "人", "有"]
         UpperCAmelCase__				:					Optional[Any] 					=	"".join(UpperCamelCase__				)
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
            with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''				):
               UpperCAmelCase__				:					Union[str, Any] 					=	True
               UpperCAmelCase__				:					Optional[Any] 					=	self.tokenizer_class.from_pretrained(UpperCamelCase__       ,**UpperCamelCase__				)
               UpperCAmelCase__				:					List[Any] 					=	self.rust_tokenizer_class.from_pretrained(UpperCamelCase__       ,**UpperCamelCase__				)

               UpperCAmelCase__				:					Optional[Any] 					=	tokenizer_p.encode(UpperCamelCase__       ,add_special_tokens=UpperCamelCase__				)
               UpperCAmelCase__				:					Union[str, Any] 					=	tokenizer_r.encode(UpperCamelCase__       ,add_special_tokens=UpperCamelCase__				)

               UpperCAmelCase__				:					Optional[Any] 					=	tokenizer_r.convert_ids_to_tokens(UpperCamelCase__				)
               UpperCAmelCase__				:					Dict 					=	tokenizer_p.convert_ids_to_tokens(UpperCamelCase__				)

               # it is expected that each Chinese character is not preceded by "##"
               self.assertListEqual(UpperCamelCase__       ,UpperCamelCase__				)
               self.assertListEqual(UpperCamelCase__       ,UpperCamelCase__				)

               UpperCAmelCase__				:					List[str] 					=	False
               UpperCAmelCase__				:					str 					=	self.rust_tokenizer_class.from_pretrained(UpperCamelCase__       ,**UpperCamelCase__				)
               UpperCAmelCase__				:					Dict 					=	self.tokenizer_class.from_pretrained(UpperCamelCase__       ,**UpperCamelCase__				)

               UpperCAmelCase__				:					Optional[Any] 					=	tokenizer_r.encode(UpperCamelCase__       ,add_special_tokens=UpperCamelCase__				)
               UpperCAmelCase__				:					Union[str, Any] 					=	tokenizer_p.encode(UpperCamelCase__       ,add_special_tokens=UpperCamelCase__				)

               UpperCAmelCase__				:					Optional[Any] 					=	tokenizer_r.convert_ids_to_tokens(UpperCamelCase__				)
               UpperCAmelCase__				:					str 					=	tokenizer_p.convert_ids_to_tokens(UpperCamelCase__				)

               # it is expected that only the first Chinese character is not preceded by "##".
               UpperCAmelCase__				:					int 					=	[
                   f'''##{token}''' if idx != 0 else token for idx, token in enumerate(UpperCamelCase__				)
               ]
               self.assertListEqual(UpperCamelCase__       ,UpperCamelCase__				)
               self.assertListEqual(UpperCamelCase__       ,UpperCamelCase__				)








"""simple docstring"""



import torch

from diffusers import KDPMaDiscreteScheduler
from diffusers.utils import torch_device

from .test_schedulers import SchedulerCommonTest







class _lowerCAmelCase							( snake_case_      ):
   __UpperCAmelCase					:			List[str]				    =    (KDPMaDiscreteScheduler,)
   __UpperCAmelCase					:			List[Any]				    =    10







   def 					lowerCamelCase						(      self		,      **UpperCamelCase__		)      ->						Optional[int]:

       '''simple docstring'''




       snake_case       : List[str]    =       {
           "num_train_timesteps": 1100,
           "beta_start": 0.0001,
           "beta_end": 0.02,
           "beta_schedule": "linear",
       }

       config.update(**UpperCamelCase__		)
       return config







   def 					lowerCamelCase						(      self		)      ->						Optional[int]:

       '''simple docstring'''




       for timesteps in [10, 50, 100, 1000]:
           self.check_over_configs(num_train_timesteps=UpperCamelCase__		)







   def 					lowerCamelCase						(      self		)      ->						str:

       '''simple docstring'''




       for beta_start, beta_end in zip([0.00001, 0.0001, 0.001]		,      [0.0002, 0.002, 0.02]		):
           self.check_over_configs(beta_start=UpperCamelCase__		,      beta_end=UpperCamelCase__		)







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

       '''simple docstring'''




       for schedule in ["linear", "scaled_linear"]:
           self.check_over_configs(beta_schedule=UpperCamelCase__		)







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

       '''simple docstring'''




       for prediction_type in ["epsilon", "v_prediction"]:
           self.check_over_configs(prediction_type=UpperCamelCase__		)







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

       '''simple docstring'''




       snake_case       : str    =       self.scheduler_classes[0]
       snake_case       : str    =       self.get_scheduler_config(prediction_type="v_prediction"		)
       snake_case       : Dict    =       scheduler_class(**UpperCamelCase__		)

       scheduler.set_timesteps(self.num_inference_steps		)

       snake_case       : List[Any]    =       self.dummy_model()
       snake_case       : List[str]    =       self.dummy_sample_deter * scheduler.init_noise_sigma
       snake_case       : Optional[Any]    =       sample.to(UpperCamelCase__		)

       for i, t in enumerate(scheduler.timesteps		):
           snake_case       : int    =       scheduler.scale_model_input(UpperCamelCase__		,      UpperCamelCase__		)

           snake_case       : int    =       model(UpperCamelCase__		,      UpperCamelCase__		)

           snake_case       : Optional[Any]    =       scheduler.step(UpperCamelCase__		,      UpperCamelCase__		,      UpperCamelCase__		)
           snake_case       : Optional[Any]    =       output.prev_sample

       snake_case       : Optional[Any]    =       torch.sum(torch.abs(UpperCamelCase__		)		)
       snake_case       : Any    =       torch.mean(torch.abs(UpperCamelCase__		)		)

       if torch_device in ["cpu", "mps"]:
           assert abs(result_sum.item() - 4.6934e-07		) < 1e-2
           assert abs(result_mean.item() - 6.1112e-10		) < 1e-3
       else:
           # CUDA
           assert abs(result_sum.item() - 4.693_4286_5017_0972e-07		) < 1e-2
           assert abs(result_mean.item() - 0.0002		) < 1e-3







   def 					lowerCamelCase						(      self		)      ->						Dict:

       '''simple docstring'''




       if torch_device == "mps":
           return
       snake_case       : Optional[Any]    =       self.scheduler_classes[0]
       snake_case       : Optional[int]    =       self.get_scheduler_config()
       snake_case       : Dict    =       scheduler_class(**UpperCamelCase__		)

       scheduler.set_timesteps(self.num_inference_steps		)

       snake_case       : List[Any]    =       self.dummy_model()
       snake_case       : Union[str, Any]    =       self.dummy_sample_deter * scheduler.init_noise_sigma
       snake_case       : List[str]    =       sample.to(UpperCamelCase__		)

       for i, t in enumerate(scheduler.timesteps		):
           snake_case       : List[Any]    =       scheduler.scale_model_input(UpperCamelCase__		,      UpperCamelCase__		)

           snake_case       : Optional[int]    =       model(UpperCamelCase__		,      UpperCamelCase__		)

           snake_case       : Optional[int]    =       scheduler.step(UpperCamelCase__		,      UpperCamelCase__		,      UpperCamelCase__		)
           snake_case       : int    =       output.prev_sample

       snake_case       : int    =       torch.sum(torch.abs(UpperCamelCase__		)		)
       snake_case       : Union[str, Any]    =       torch.mean(torch.abs(UpperCamelCase__		)		)

       if torch_device in ["cpu", "mps"]:
           assert abs(result_sum.item() - 20.4125		) < 1e-2
           assert abs(result_mean.item() - 0.0266		) < 1e-3
       else:
           # CUDA
           assert abs(result_sum.item() - 20.4125		) < 1e-2
           assert abs(result_mean.item() - 0.0266		) < 1e-3







   def 					lowerCamelCase						(      self		)      ->						Optional[int]:

       '''simple docstring'''




       if torch_device == "mps":
           return
       snake_case       : Any    =       self.scheduler_classes[0]
       snake_case       : Any    =       self.get_scheduler_config()
       snake_case       : Union[str, Any]    =       scheduler_class(**UpperCamelCase__		)

       scheduler.set_timesteps(self.num_inference_steps		,      device=UpperCamelCase__		)

       snake_case       : Optional[Any]    =       self.dummy_model()
       snake_case       : Optional[int]    =       self.dummy_sample_deter.to(UpperCamelCase__		) * scheduler.init_noise_sigma

       for t in scheduler.timesteps:
           snake_case       : Optional[Any]    =       scheduler.scale_model_input(UpperCamelCase__		,      UpperCamelCase__		)

           snake_case       : Any    =       model(UpperCamelCase__		,      UpperCamelCase__		)

           snake_case       : List[Any]    =       scheduler.step(UpperCamelCase__		,      UpperCamelCase__		,      UpperCamelCase__		)
           snake_case       : Dict    =       output.prev_sample

       snake_case       : Dict    =       torch.sum(torch.abs(UpperCamelCase__		)		)
       snake_case       : str    =       torch.mean(torch.abs(UpperCamelCase__		)		)

       if str(UpperCamelCase__		).startswith("cpu"		):
           # The following sum varies between 148 and 156 on mps. Why?
           assert abs(result_sum.item() - 20.4125		) < 1e-2
           assert abs(result_mean.item() - 0.0266		) < 1e-3
       else:
           # CUDA
           assert abs(result_sum.item() - 20.4125		) < 1e-2
           assert abs(result_mean.item() - 0.0266		) < 1e-3





