


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

import black


lowerCamelCase											=       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.
lowerCamelCase											=       '    \"""\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 A  (   unittest.TestCase     ):






      def        lowerCamelCase       (					self						:     List[str] )					->						Tuple:
             """simple docstring"""




             _lowerCamelCase       :		Any		=tempfile.mkdtemp()
             os.makedirs(os.path.join(self.diffusers_dir			,   'schedulers/' ) )
             _lowerCamelCase       :		Optional[Any]		=self.diffusers_dir
             shutil.copy(
                 os.path.join(lowercase_			,   'src/diffusers/schedulers/scheduling_ddpm.py' )			,   os.path.join(self.diffusers_dir			,   'schedulers/scheduling_ddpm.py' )			,   )






      def        lowerCamelCase       (					self						:     Optional[Any] )					->						int:
             """simple docstring"""




             _lowerCamelCase       :		Union[str, Any]		='src/diffusers'
             shutil.rmtree(self.diffusers_dir )






      def        lowerCamelCase       (					self						:     Optional[Any]			,   lowercase_						:     Any			,   lowercase_						:     int			,   lowercase_						:     Tuple			,   lowercase_						:     Union[str, Any]=None )					->						Union[str, Any]:
             """simple docstring"""




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






      def        lowerCamelCase       (					self						:     Optional[Any] )					->						Union[str, Any]:
             """simple docstring"""




             _lowerCamelCase       :		Optional[Any]		=check_copies.find_code_in_diffusers('schedulers.scheduling_ddpm.DDPMSchedulerOutput' )
             self.assertEqual(lowercase_			,   lowercase_ )






      def        lowerCamelCase       (					self						:     str )					->						Any:
             """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'			,   lowercase_			,   )

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

             # Copy consistency with a really long name
             _lowerCamelCase       :		Union[str, Any]		='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'			,   lowercase_			,   lowercase_ )			,   )

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






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


if is_sentencepiece_available():
 from ..ta.tokenization_ta import TaTokenizer
else:
 from ...utils.dummy_sentencepiece_objects import TaTokenizer

lowerCamelCase											=       TaTokenizer

if is_tokenizers_available():
 from ..ta.tokenization_ta_fast import TaTokenizerFast
else:
 from ...utils.dummy_tokenizers_objects import TaTokenizerFast

lowerCamelCase											=       TaTokenizerFast

lowerCamelCase											=       {'configuration_mt5': ['MT5Config', 'MT5OnnxConfig']}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase											=       [
     'MT5EncoderModel',
     'MT5ForConditionalGeneration',
     'MT5ForQuestionAnswering',
     'MT5Model',
     'MT5PreTrainedModel',
     'MT5Stack',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase											=       ['TFMT5EncoderModel', 'TFMT5ForConditionalGeneration', 'TFMT5Model']

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase											=       ['FlaxMT5EncoderModel', 'FlaxMT5ForConditionalGeneration', 'FlaxMT5Model']


if TYPE_CHECKING:
 from .configuration_mta import MTaConfig, MTaOnnxConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_mta import (
      MTaEncoderModel,
      MTaForConditionalGeneration,
      MTaForQuestionAnswering,
      MTaModel,
      MTaPreTrainedModel,
      MTaStack,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_mta import TFMTaEncoderModel, TFMTaForConditionalGeneration, TFMTaModel

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_mta import FlaxMTaEncoderModel, FlaxMTaForConditionalGeneration, FlaxMTaModel

else:
 import sys

 lowerCamelCase											=       _LazyModule(
     __name__,
     globals()['__file__'],
     _import_structure,
     extra_objects={'MT5Tokenizer': MTaTokenizer, 'MT5TokenizerFast': MTaTokenizerFast},
     module_spec=__spec__,
 )


