
'''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
A__   :		Tuple 		='''src/diffusers'''

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


A__   :		int 		='''
{0} = None
'''

A__   :		Any 		='''
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})
'''


A__   :		List[str] 		='''
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
'''







def        A_     (						__SCREAMING_SNAKE_CASE						:  Optional[int] )				->       Dict:





  """simple docstring"""

  __A		:     Dict												=		_re_backend.findall(_UpperCAmelCase )
  if len(_UpperCAmelCase ) == 0:
    return None

  return "_and_".join(_UpperCAmelCase )







def        A_     (						)				->       str:





  """simple docstring"""

  with open(os.path.join(_UpperCAmelCase			,     """__init__.py""" )			,     """r"""			,     encoding="""utf-8"""			,     newline="""\n""" ) as f:
    __A		:     List[Any]												=		f.readlines()

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

  return backend_specific_objects







def        A_     (						__SCREAMING_SNAKE_CASE						:  int			,     __SCREAMING_SNAKE_CASE						:  Union[str, Any] )				->       int:





  """simple docstring"""

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







def        A_     (						__SCREAMING_SNAKE_CASE						:  Any=None )				->       Optional[Any]:





  """simple docstring"""

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

  for backend, objects in backend_specific_objects.items():
    __A		:     List[str]												=		"""[""" + """, """.join(F"\"{b}\"" for b in backend.split("""_and_""" ) ) + """]"""
    __A		:     Union[str, 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(_UpperCAmelCase			,     _UpperCAmelCase ) for o in objects] )
    __A		:     str												=		dummy_file

  return dummy_files







def        A_     (						__SCREAMING_SNAKE_CASE						:  Dict=False )				->       List[str]:





  """simple docstring"""

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

  # Locate actual dummy modules and read their content.
  __A		:     Tuple												=		os.path.join(_UpperCAmelCase			,     """utils""" )
  __A		:     List[str]												=		{
      backend: os.path.join(_UpperCAmelCase			,     F"dummy_{short_names.get(_UpperCAmelCase			,     _UpperCAmelCase )}_objects.py" )
      for backend in dummy_files.keys()
  }

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

  for backend in dummy_files.keys():
    if dummy_files[backend] != actual_dummies[backend]:
      if overwrite:
        print(
            F"Updating diffusers.utils.dummy_{short_names.get(_UpperCAmelCase			,     _UpperCAmelCase )}_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(_UpperCAmelCase			,     _UpperCAmelCase )}_objects.py. Run `make fix-copies` "
            """to fix this.""" )


if __name__ == "__main__":
     A__   :		int 		=argparse.ArgumentParser()
     parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
     A__   :		Any 		=parser.parse_args()

     check_dummies(args.fix_and_overwrite)

'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


A__   :		int 		=logging.get_logger(__name__)

A__   :		Union[str, Any] 		={
    'facebook/dpr-ctx_encoder-single-nq-base': (
        'https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json'
    ),
    'facebook/dpr-question_encoder-single-nq-base': (
        'https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json'
    ),
    'facebook/dpr-reader-single-nq-base': (
        'https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json'
    ),
    'facebook/dpr-ctx_encoder-multiset-base': (
        'https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json'
    ),
    'facebook/dpr-question_encoder-multiset-base': (
        'https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json'
    ),
    'facebook/dpr-reader-multiset-base': (
        'https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json'
    ),
}







class  __A				( _SCREAMING_SNAKE_CASE			):
 lowerCamelCase				       ='''dpr'''
 def __init__(   self			:    Optional[int]				,   lowerCamelCase			:    Tuple=3_05_22				,   lowerCamelCase			:    List[str]=7_68				,   lowerCamelCase			:    Union[str, Any]=12				,   lowerCamelCase			:    Tuple=12				,   lowerCamelCase			:    Dict=30_72				,   lowerCamelCase			:    List[Any]="gelu"				,   lowerCamelCase			:    List[Any]=0.1				,   lowerCamelCase			:    Union[str, Any]=0.1				,   lowerCamelCase			:    Optional[Any]=5_12				,   lowerCamelCase			:    List[Any]=2				,   lowerCamelCase			:    int=0.02				,   lowerCamelCase			:    Union[str, Any]=1e-1_2				,   lowerCamelCase			:    int=0				,   lowerCamelCase			:    List[str]="absolute"				,   lowerCamelCase			:    int = 0				,   **lowerCamelCase			:    List[Any]				,   ):



   """simple docstring"""





   super().__init__(pad_token_id=lowerCamelCase				,   **lowerCamelCase       )

   __A		:     Dict												=		vocab_size
   __A		:     int												=		hidden_size
   __A		:     str												=		num_hidden_layers
   __A		:     Union[str, Any]												=		num_attention_heads
   __A		:     Union[str, Any]												=		hidden_act
   __A		:     Optional[Any]												=		intermediate_size
   __A		:     str												=		hidden_dropout_prob
   __A		:     int												=		attention_probs_dropout_prob
   __A		:     int												=		max_position_embeddings
   __A		:     Dict												=		type_vocab_size
   __A		:     Dict												=		initializer_range
   __A		:     Union[str, Any]												=		layer_norm_eps
   __A		:     int												=		projection_dim
   __A		:     List[Any]												=		position_embedding_type



