





"""simple docstring"""



import os
import re
import shutil
import sys
import tempfile
import unittest

import black


a_ =			os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, """utils"""))

import check_copies  # noqa: E402


# This is the reference code that will be used in the tests.
# If DDPMSchedulerOutput is changed in scheduling_ddpm.py, this code needs to be manually updated.
a_ =			'    \"""\n    Output class for the scheduler\'s step function output.\n\n    Args:\n        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the\n            denoising loop.\n        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            The predicted denoised sample (x_{0}) based on the model output from the current timestep.\n            `pred_original_sample` can be used to preview progress or for guidance.\n    \"""\n\n    prev_sample: torch.FloatTensor\n    pred_original_sample: Optional[torch.FloatTensor] = None\n'






class 		__snake_case					(		unittest.TestCase     ):





 """simple docstring"""


 def 					UpperCamelCase__(    self  ):



     '''simple docstring'''




     __A    :						Union[str, Any]						 =     tempfile.mkdtemp()
     os.makedirs(os.path.join(self.diffusers_dir					,						'''schedulers/'''  )  )
     __A    :						str						 =     self.diffusers_dir
     shutil.copy(
         os.path.join(__a					,						'''src/diffusers/schedulers/scheduling_ddpm.py'''  )					,						os.path.join(self.diffusers_dir					,						'''schedulers/scheduling_ddpm.py'''  )					,						)

 def 					UpperCamelCase__(    self  ):



     '''simple docstring'''




     __A    :						str						 =     '''src/diffusers'''
     shutil.rmtree(self.diffusers_dir  )

 def 					UpperCamelCase__(    self					,						__lowerCamelCase					,						__lowerCamelCase					,						__lowerCamelCase					,						__lowerCamelCase=None  ):



     '''simple docstring'''




     __A    :						List[Any]						 =     comment + F"""\nclass {class_name}(nn.Module):\n""" + class_code
     if overwrite_result is not None:
         __A    :						Optional[int]						 =     comment + F"""\nclass {class_name}(nn.Module):\n""" + overwrite_result
     __A    :						List[str]						 =     black.Mode(target_versions={black.TargetVersion.PYaa}					,						line_length=119  )
     __A    :						Optional[int]						 =     black.format_str(__a					,						mode=__a  )
     __A    :						Any						 =     os.path.join(self.diffusers_dir					,						'''new_code.py'''  )
     with open(__a					,						'''w'''					,						newline='''\n'''  ) as f:
         f.write(__a  )
     if overwrite_result is None:
         self.assertTrue(len(check_copies.is_copy_consistent(__a  )  ) == 0  )
     else:
         check_copies.is_copy_consistent(f.name					,						overwrite=__a  )
         with open(__a					,						'''r'''  ) as f:
             self.assertTrue(f.read()					,						__a  )

 def 					UpperCamelCase__(    self  ):



     '''simple docstring'''




     __A    :						Any						 =     check_copies.find_code_in_diffusers('''schedulers.scheduling_ddpm.DDPMSchedulerOutput'''  )
     self.assertEqual(__a					,						__a  )







 def 					UpperCamelCase__(    self  ):



     '''simple docstring'''




     self.check_copy_consistency(
         '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput'''					,						'''DDPMSchedulerOutput'''					,						REFERENCE_CODE + '''\n'''					,						)

     # With no empty line at the end
     self.check_copy_consistency(
         '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput'''					,						'''DDPMSchedulerOutput'''					,						__a					,						)

     # Copy consistency with rename
     self.check_copy_consistency(
         '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test'''					,						'''TestSchedulerOutput'''					,						re.sub('''DDPM'''					,						'''Test'''					,						__a  )					,						)

     # Copy consistency with a really long name
     __A    :						Tuple						 =     '''TestClassWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason'''
     self.check_copy_consistency(
         F"""# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->{long_class_name}"""					,						F"""{long_class_name}SchedulerOutput"""					,						re.sub('''Bert'''					,						__a					,						__a  )					,						)

     # Copy consistency with overwrite
     self.check_copy_consistency(
         '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test'''					,						'''TestSchedulerOutput'''					,						__a					,						overwrite_result=re.sub('''DDPM'''					,						'''Test'''					,						__a  )					,						)





'''simple docstring'''





from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest




@require_tokenizers
class        __A      ( UpperCamelCase__	):
    a__       :						Optional[Any]          =  DistilBertTokenizer
    a__       :						Any          =  DistilBertTokenizerFast
    a__       :						str          =  True



    @slow
    def 					_lowercase						(self    :    int ):
         UpperCAmelCase_           =   DistilBertTokenizer.from_pretrained("distilbert-base-uncased" )

         UpperCAmelCase_           =   tokenizer.encode("sequence builders"   ,			add_special_tokens=__a )
         UpperCAmelCase_           =   tokenizer.encode("multi-sequence build"   ,			add_special_tokens=__a )

         UpperCAmelCase_           =   tokenizer.build_inputs_with_special_tokens(__a )
         UpperCAmelCase_           =   tokenizer.build_inputs_with_special_tokens(__a   ,			__a )

         assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
         assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
             tokenizer.sep_token_id
         ]




