


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

import black


__UpperCamelCase				:  int      					=							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.
__UpperCamelCase				:  str      					=							"    \"\"\"\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   lowerCAmelCase__(    unittest.TestCase						):






    '''simple docstring'''





    def 					_lowerCamelCase (	self				:   Optional[Any]	):





       '''simple docstring'''
       UpperCAmelCase_							:      Tuple						=   tempfile.mkdtemp()
       os.makedirs(os.path.join(self.diffusers_dir       ,   '''schedulers/'''	)	)
       UpperCAmelCase_							:      List[Any]						=   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 					_lowerCamelCase (	self				:   int	):





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





    def 					_lowerCamelCase (	self				:   Union[str, Any]       ,   __snake_case				:   Optional[Any]       ,   __snake_case				:   Tuple       ,   __snake_case				:   List[str]       ,   __snake_case				:   Any=None	):





       '''simple docstring'''
       UpperCAmelCase_							:      Optional[Any]						=   comment + f'''\nclass {class_name}(nn.Module):\n''' + class_code
       if overwrite_result is not None:
          UpperCAmelCase_							:      Any						=   comment + f'''\nclass {class_name}(nn.Module):\n''' + overwrite_result
       UpperCAmelCase_							:      Tuple						=   black.Mode(target_versions={black.TargetVersion.PYaa}       ,   line_length=119	)
       UpperCAmelCase_							:      List[Any]						=   black.format_str(A_       ,   mode=A_	)
       UpperCAmelCase_							:      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 					_lowerCamelCase (	self				:   str	):





       '''simple docstring'''
       UpperCAmelCase_							:      int						=   check_copies.find_code_in_diffusers('''schedulers.scheduling_ddpm.DDPMSchedulerOutput'''	)
       self.assertEqual(A_       ,   A_	)





    def 					_lowerCamelCase (	self				:   List[str]	):





       '''simple docstring'''
       # Base copy consistency
       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
       UpperCAmelCase_							:      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'''       ,   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_	)       ,   )



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCamelCase				:  str      					=							{
    'configuration_x_clip': [
        'XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'XCLIPConfig',
        'XCLIPTextConfig',
        'XCLIPVisionConfig',
    ],
    'processing_x_clip': ['XCLIPProcessor'],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __UpperCamelCase				:  Any      					=							[
           'XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
           'XCLIPModel',
           'XCLIPPreTrainedModel',
           'XCLIPTextModel',
           'XCLIPVisionModel',
       ]

if TYPE_CHECKING:
       from .configuration_x_clip import (
           XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
           XCLIPConfig,
           XCLIPTextConfig,
           XCLIPVisionConfig,
       )
       from .processing_x_clip import XCLIPProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_x_clip import (
                  XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
                  XCLIPModel,
                  XCLIPPreTrainedModel,
                  XCLIPTextModel,
                  XCLIPVisionModel,
              )

else:
       import sys

       __UpperCamelCase				:  List[str]      					=							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)