"""simple docstring"""





import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
_UpperCamelCase  :		Optional[int]           =       '''src/diffusers'''

# Matches is_xxx_available()
_UpperCamelCase  :		int           =       re.compile(r"is\_([a-z_]*)_available\(\)")
# Matches from xxx import bla
_UpperCamelCase  :		int           =       re.compile(r"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")


_UpperCamelCase  :		Optional[Any]           =       '''
{0} = None
'''

_UpperCamelCase  :		Tuple           =       '''
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, {1})

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, {1})
'''


_UpperCamelCase  :		Tuple           =       '''
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
'''





def 							a_	( _lowerCAmelCase    :					Tuple	):





       '''simple docstring'''

       lowercase__     :						List[str]         =      _re_backend.findall(__A	)
       if len(__A	) == 0:
              return None

       return "_and_".join(__A	)





def 							a_	( ):





       '''simple docstring'''

       with open(os.path.join(__A  ,					'__init__.py'	)  ,					'r'  ,					encoding='utf-8'  ,					newline='\n'	) as f:
              lowercase__     :						Tuple         =      f.readlines()

       # Get to the point we do the actual imports for type checking
       lowercase__     :						Union[str, Any]         =      0
       lowercase__     :						Optional[Any]         =      {}
       # Go through the end of the file
       while line_index < len(__A	):
              # If the line contains is_backend_available, we grab all objects associated with the `else` block
              lowercase__     :						Any         =      find_backend(lines[line_index]	)
              if backend is not None:
                     while not lines[line_index].startswith('else:'	):
                            line_index += 1
                     line_index += 1
                     lowercase__     :						List[str]         =      []
                     # Until we unindent, add backend objects to the list
                     while line_index < len(__A	) and len(lines[line_index]	) > 1:
                            lowercase__     :						List[Any]         =      lines[line_index]
                            lowercase__     :						Union[str, Any]         =      _re_single_line_import.search(__A	)
                            if single_line_import_search is not None:
                                   objects.extend(single_line_import_search.groups()[0].split(', '	)	)
                            elif line.startswith(' ' * 8	):
                                   objects.append(line[8:-2]	)
                            line_index += 1

                     if len(__A	) > 0:
                            lowercase__     :						str         =      objects
              else:
                     line_index += 1

       return backend_specific_objects





def 							a_	( _lowerCAmelCase    :					Any  ,					_lowerCAmelCase    :					int	):





       '''simple docstring'''

       if name.isupper():
              return DUMMY_CONSTANT.format(__A	)
       elif name.islower():
              return DUMMY_FUNCTION.format(__A  ,					__A	)
       else:
              return DUMMY_CLASS.format(__A  ,					__A	)





def 							a_	( _lowerCAmelCase    :					Dict=None	):





       '''simple docstring'''

       if backend_specific_objects is None:
              lowercase__     :						Optional[Any]         =      read_init()
       # For special correspondence backend to module name as used in the function requires_modulename
       lowercase__     :						Optional[Any]         =      {}

       for backend, objects in backend_specific_objects.items():
              lowercase__     :						Tuple         =      '[' + ', '.join(f"""\"{b}\"""" for b in backend.split('_and_'	)	) + ']'
              lowercase__     :						List[Any]         =      '# This file is autogenerated by the command `make fix-copies`, do not edit.\n'
              dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
              dummy_file += "\n".join([create_dummy_object(__A  ,					__A	) for o in objects]	)
              lowercase__     :						Union[str, Any]         =      dummy_file

       return dummy_files





def 							a_	( _lowerCAmelCase    :					Tuple=False	):





       '''simple docstring'''

       lowercase__     :						Optional[Any]         =      create_dummy_files()
       # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
       lowercase__     :						Optional[int]         =      {'torch': 'pt'}

       # Locate actual dummy modules and read their content.
       lowercase__     :						Union[str, Any]         =      os.path.join(__A  ,					'utils'	)
       lowercase__     :						Optional[Any]         =      {
           backend: os.path.join(__A  ,					f"""dummy_{short_names.get(__A  ,					__A	)}_objects.py"""	)
           for backend in dummy_files.keys()
       }

       lowercase__     :						Optional[Any]         =      {}
       for backend, file_path in dummy_file_paths.items():
              if os.path.isfile(__A	):
                     with open(__A  ,					'r'  ,					encoding='utf-8'  ,					newline='\n'	) as f:
                            lowercase__     :						Dict         =      f.read()
              else:
                     lowercase__     :						Tuple         =      ''

       for backend in dummy_files.keys():
              if dummy_files[backend] != actual_dummies[backend]:
                     if overwrite:
                            print(
                                f"""Updating diffusers.utils.dummy_{short_names.get(__A  ,					__A	)}_objects.py as the main """
                                '__init__ has new objects.'	)
                            with open(dummy_file_paths[backend]  ,					'w'  ,					encoding='utf-8'  ,					newline='\n'	) as f:
                                   f.write(dummy_files[backend]	)
                     else:
                            raise ValueError(
                                'The main __init__ has objects that are not present in '
                                f"""diffusers.utils.dummy_{short_names.get(__A  ,					__A	)}_objects.py. Run `make fix-copies` """
                                'to fix this.'	)


if __name__ == "__main__":
       _UpperCamelCase  :		int           =       argparse.ArgumentParser()
       parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
       _UpperCamelCase  :		Union[str, Any]           =       parser.parse_args()

       check_dummies(args.fix_and_overwrite)




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

import black


_lowerCamelCase      :					Union[str, Any]					    =      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      :					str					    =      '''    \"""
    Output class for the scheduler\'s step function output.

    Args:
        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the
            denoising loop.
        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
            The predicted denoised sample (x_{0}) based on the model output from the current timestep.
            `pred_original_sample` can be used to preview progress or for guidance.
    \"""

    prev_sample: torch.FloatTensor
    pred_original_sample: Optional[torch.FloatTensor] = None
'''





class        lowerCAmelCase__  (					unittest.TestCase			):



       '''simple docstring'''







       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             __A    =tempfile.mkdtemp()
             os.makedirs(os.path.join(self.diffusers_dir ,   '''schedulers/'''     )     )
             __A    =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     __UpperCamelCase     (							self     ):







             '''simple docstring'''



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

       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__ ,   lowercase__ ,   lowercase__=None     ):







             '''simple docstring'''



             __A    =comment + f'''\nclass {class_name}(nn.Module):\n''' + class_code
             if overwrite_result is not None:
                   __A    =comment + f'''\nclass {class_name}(nn.Module):\n''' + overwrite_result
             __A    =black.Mode(target_versions={black.TargetVersion.PYaa} ,   line_length=1_1_9     )
             __A    =black.format_str(lowercase__ ,   mode=lowercase__     )
             __A    =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     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             __A    =check_copies.find_code_in_diffusers('''schedulers.scheduling_ddpm.DDPMSchedulerOutput'''     )
             self.assertEqual(lowercase__ ,   lowercase__     )


       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''' ,   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
             __A    ='''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__     ) ,   )


