
import argparse
import os
import re


_lowerCamelCase					   ="""src/diffusers"""

# Pattern that looks at the indentation in a line.
_lowerCamelCase					   =re.compile(R"""^(\s*)\S""")
# Pattern that matches `"key":" and puts `key` in group 0.
_lowerCamelCase					   =re.compile(R"""^\s*\"([^\"]+)\":""")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
_lowerCamelCase					   =re.compile(R"""^\s*_import_structure\[\"([^\"]+)\"\]""")
# Pattern that matches `"key",` and puts `key` in group 0.
_lowerCamelCase					   =re.compile(R"""^\s*\"([^\"]+)\",\s*$""")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
_lowerCamelCase					   =re.compile(R"""\[([^\]]+)\]""")





def     _a					(						lowerCamelCase							):
 lowerCamelCase		:	Optional[Any]							=      _re_indent.search(lowerCamelCase							)
 return "" if search is None else search.groups()[0]





def     _a					(						lowerCamelCase,	lowerCamelCase="",	lowerCamelCase=None,	lowerCamelCase=None							):
 lowerCamelCase		:	Dict							=      0
 lowerCamelCase		:	List[Any]							=      code.split("""\n"""							)
 if start_prompt is not None:
  while not lines[index].startswith(lowerCamelCase							):
   index += 1
  lowerCamelCase		:	List[str]							=      ["""\n""".join(lines[:index]							)]
 else:
  lowerCamelCase		:	Optional[Any]							=      []

 # We split into blocks until we get to the `end_prompt` (or the end of the block).
 lowerCamelCase		:	Any							=      [lines[index]]
 index += 1
 while index < len(lowerCamelCase							) and (end_prompt is None or not lines[index].startswith(lowerCamelCase							)):
  if len(lines[index]							) > 0 and get_indent(lines[index]							) == indent_level:
   if len(lowerCamelCase							) > 0 and get_indent(current_block[-1]							).startswith(indent_level + """ """							):
    current_block.append(lines[index]							)
    blocks.append("""\n""".join(lowerCamelCase							)							)
    if index < len(lowerCamelCase							) - 1:
     lowerCamelCase		:	Dict							=      [lines[index + 1]]
     index += 1
    else:
     lowerCamelCase		:	List[Any]							=      []
   else:
    blocks.append("""\n""".join(lowerCamelCase							)							)
    lowerCamelCase		:	Optional[Any]							=      [lines[index]]
  else:
   current_block.append(lines[index]							)
  index += 1

 # Adds current block if it's nonempty.
 if len(lowerCamelCase							) > 0:
  blocks.append("""\n""".join(lowerCamelCase							)							)

 # Add final block after end_prompt if provided.
 if end_prompt is not None and index < len(lowerCamelCase							):
  blocks.append("""\n""".join(lines[index:]							)							)

 return blocks





def     _a					(						lowerCamelCase							):

 def _inner(lowerCamelCase							):
  return key(lowerCamelCase							).lower().replace("""_""",	""""""							)

 return _inner





def     _a					(						lowerCamelCase,	lowerCamelCase=None							):

 # If no key is provided, we use a noop.
 def noop(lowerCamelCase							):
  return x

 if key is None:
  lowerCamelCase		:	Tuple							=      noop
 # Constants are all uppercase, they go first.
 lowerCamelCase		:	List[Any]							=      [obj for obj in objects if key(lowerCamelCase							).isupper()]
 # Classes are not all uppercase but start with a capital, they go second.
 lowerCamelCase		:	List[Any]							=      [obj for obj in objects if key(lowerCamelCase							)[0].isupper() and not key(lowerCamelCase							).isupper()]
 # Functions begin with a lowercase, they go last.
 lowerCamelCase		:	Optional[Any]							=      [obj for obj in objects if not key(lowerCamelCase							)[0].isupper()]

 lowerCamelCase		:	List[Any]							=      ignore_underscore(lowerCamelCase							)
 return sorted(lowerCamelCase,	key=lowerCamelCase							) + sorted(lowerCamelCase,	key=lowerCamelCase							) + sorted(lowerCamelCase,	key=lowerCamelCase							)





def     _a					(						lowerCamelCase							):

 # This inner function sort imports between [ ].
 def _replace(lowerCamelCase							):
  lowerCamelCase		:	Union[str, Any]							=      match.groups()[0]
  if "," not in imports:
   return F'''[{imports}]'''
  lowerCamelCase		:	Dict							=      [part.strip().replace("""\"""",	""""""							) for part in imports.split(""","""							)]
  # We will have a final empty element if the line finished with a comma.
  if len(keys[-1]							) == 0:
   lowerCamelCase		:	Any							=      keys[:-1]
  return "[" + ", ".join([F'''"{k}"''' for k in sort_objects(lowerCamelCase							)]							) + "]"

 lowerCamelCase		:	int							=      import_statement.split("""\n"""							)
 if len(lowerCamelCase							) > 3:
  # Here we have to sort internal imports that are on several lines (one per name):
  # key: [
  #     "object1",
  #     "object2",
  #     ...
  # ]

  # We may have to ignore one or two lines on each side.
  lowerCamelCase		:	Any							=      2 if lines[1].strip() == """[""" else 1
  lowerCamelCase		:	List[Any]							=      [(i, _re_strip_line.search(lowerCamelCase							).groups()[0]) for i, line in enumerate(lines[idx:-idx]							)]
  lowerCamelCase		:	str							=      sort_objects(lowerCamelCase,	key=lambda lowerCamelCase							: x[1]							)
  lowerCamelCase		:	List[str]							=      [lines[x[0] + idx] for x in sorted_indices]
  return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]							)
 elif len(lowerCamelCase							) == 3:
  # Here we have to sort internal imports that are on one separate line:
  # key: [
  #     "object1", "object2", ...
  # ]
  if _re_bracket_content.search(lines[1]							) is not None:
   lowerCamelCase		:	Optional[int]							=      _re_bracket_content.sub(_replace,	lines[1]							)
  else:
   lowerCamelCase		:	int							=      [part.strip().replace("""\"""",	""""""							) for part in lines[1].split(""","""							)]
   # We will have a final empty element if the line finished with a comma.
   if len(keys[-1]							) == 0:
    lowerCamelCase		:	Dict							=      keys[:-1]
   lowerCamelCase		:	str							=      get_indent(lines[1]							) + """, """.join([F'''"{k}"''' for k in sort_objects(lowerCamelCase							)]							)
  return "\n".join(lowerCamelCase							)
 else:
  # Finally we have to deal with imports fitting on one line
  lowerCamelCase		:	int							=      _re_bracket_content.sub(_replace,	lowerCamelCase							)
  return import_statement





def     _a					(						lowerCamelCase,	lowerCamelCase=True							):
 with open(lowerCamelCase,	"""r"""							) as f:
  lowerCamelCase		:	str							=      f.read()

 if "_import_structure" not in code:
  return

 # Blocks of indent level 0
 lowerCamelCase		:	List[Any]							=      split_code_in_indented_blocks(
     lowerCamelCase,	start_prompt="""_import_structure = {""",	end_prompt="""if TYPE_CHECKING:"""							)

 # We ignore block 0 (everything until start_prompt) and the last block (everything after end_prompt).
 for block_idx in range(1,	len(lowerCamelCase							) - 1							):
  # Check if the block contains some `_import_structure`s thingy to sort.
  lowerCamelCase		:	Dict							=      main_blocks[block_idx]
  lowerCamelCase		:	Union[str, Any]							=      block.split("""\n"""							)

  # Get to the start of the imports.
  lowerCamelCase		:	int							=      0
  while line_idx < len(lowerCamelCase							) and "_import_structure" not in block_lines[line_idx]:
   # Skip dummy import blocks
   if "import dummy" in block_lines[line_idx]:
    lowerCamelCase		:	int							=      len(lowerCamelCase							)
   else:
    line_idx += 1
  if line_idx >= len(lowerCamelCase							):
   continue

  # Ignore beginning and last line: they don't contain anything.
  lowerCamelCase		:	Optional[int]							=      """\n""".join(block_lines[line_idx:-1]							)
  lowerCamelCase		:	Tuple							=      get_indent(block_lines[1]							)
  # Slit the internal block into blocks of indent level 1.
  lowerCamelCase		:	str							=      split_code_in_indented_blocks(lowerCamelCase,	indent_level=lowerCamelCase							)
  # We have two categories of import key: list or _import_structure[key].append/extend
  lowerCamelCase		:	List[str]							=      _re_direct_key if """_import_structure""" in block_lines[0] else _re_indirect_key
  # Grab the keys, but there is a trap: some lines are empty or just comments.
  lowerCamelCase		:	List[str]							=      [(pattern.search(lowerCamelCase							).groups()[0] if pattern.search(lowerCamelCase							) is not None else None) for b in internal_blocks]
  # We only sort the lines with a key.
  lowerCamelCase		:	Union[str, Any]							=      [(i, key) for i, key in enumerate(lowerCamelCase							) if key is not None]
  lowerCamelCase		:	List[str]							=      [x[0] for x in sorted(lowerCamelCase,	key=lambda lowerCamelCase							: x[1]							)]

  # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
  lowerCamelCase		:	Optional[Any]							=      0
  lowerCamelCase		:	Union[str, Any]							=      []
  for i in range(len(lowerCamelCase							)							):
   if keys[i] is None:
    reordered_blocks.append(internal_blocks[i]							)
   else:
    lowerCamelCase		:	Optional[int]							=      sort_objects_in_import(internal_blocks[sorted_indices[count]]							)
    reordered_blocks.append(lowerCamelCase							)
    count += 1

        # And we put our main block back together with its first and last line.
  lowerCamelCase		:	Optional[Any]							=      """\n""".join(block_lines[:line_idx] + reordered_blocks + [block_lines[-1]]							)

 if code != "\n".join(lowerCamelCase							):
  if check_only:
   return True
  else:
   print(F'''Overwriting {file}.'''							)
   with open(lowerCamelCase,	"""w"""							) as f:
    f.write("""\n""".join(lowerCamelCase							)							)





def     _a					(						lowerCamelCase=True							):
 lowerCamelCase		:	Any							=      []
 for root, _, files in os.walk(lowerCamelCase							):
  if "__init__.py" in files:
   lowerCamelCase		:	Tuple							=      sort_imports(os.path.join(lowerCamelCase,	"""__init__.py"""							),	check_only=lowerCamelCase							)
   if result:
    lowerCamelCase		:	int							=      [os.path.join(lowerCamelCase,	"""__init__.py"""							)]
 if len(lowerCamelCase							) > 0:
  raise ValueError(F'''Would overwrite {len(lowerCamelCase							)} files, run `make style`.'''							)


if __name__ == "__main__":
      _lowerCamelCase					   =argparse.ArgumentParser()
      parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
      _lowerCamelCase					   =parser.parse_args()

      sort_imports_in_all_inits(check_only=args.check_only)






import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCamelCase					   =logging.get_logger(__name__)

_lowerCamelCase					   ={
    """BridgeTower/bridgetower-base""": """https://huggingface.co/BridgeTower/bridgetower-base/blob/main/config.json""",
    """BridgeTower/bridgetower-base-itm-mlm""": (
        """https://huggingface.co/BridgeTower/bridgetower-base-itm-mlm/blob/main/config.json"""
    ),
}





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    Dict           =			"""bridgetower_vision_model"""
      def __init__(      self    ,  __magic_name__=7_6_8    ,  __magic_name__=1_2    ,  __magic_name__=3    ,  __magic_name__=1_6    ,  __magic_name__=2_8_8    ,  __magic_name__=1    ,  __magic_name__=1e-05    ,  __magic_name__=False    ,  __magic_name__=True    ,  __magic_name__=False    ,  **__magic_name__    ,  ):
       super().__init__(**__magic_name__      )
       lowerCamelCase		:	Dict							=      hidden_size
       lowerCamelCase		:	str							=      num_hidden_layers
       lowerCamelCase		:	Optional[int]							=      num_channels
       lowerCamelCase		:	List[str]							=      patch_size
       lowerCamelCase		:	Tuple							=      image_size
       lowerCamelCase		:	Any							=      initializer_factor
       lowerCamelCase		:	Tuple							=      layer_norm_eps
       lowerCamelCase		:	Tuple							=      stop_gradient
       lowerCamelCase		:	Optional[int]							=      share_layernorm
       lowerCamelCase		:	str							=      remove_last_layer






      @classmethod
      def 						UpperCamelCase__							(      cls    ,  __magic_name__    ,  **__magic_name__      ):
       lowerCamelCase			,    lowerCamelCase		:	int							=      cls.get_config_dict(__magic_name__    ,  **__magic_name__      )

       if config_dict.get("""model_type"""      ) == "bridgetower":
        lowerCamelCase		:	str							=      config_dict["""text_config"""]

       if "model_type" in config_dict and hasattr(cls    ,  """model_type"""      ) and config_dict["model_type"] != cls.model_type:
        logger.warning(
            F'''You are using a model of type {config_dict["model_type"]} to instantiate a model of type '''
            F'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.'''      )

       return cls.from_dict(__magic_name__    ,  **__magic_name__      )





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    Union[str, Any]           =			"""bridgetower_text_model"""
      def __init__(      self    ,  __magic_name__=5_0_2_6_5    ,  __magic_name__=7_6_8    ,  __magic_name__=1_2    ,  __magic_name__=1_2    ,  __magic_name__=1    ,  __magic_name__=3_0_7_2    ,  __magic_name__="gelu"    ,  __magic_name__=0.1    ,  __magic_name__=0.1    ,  __magic_name__=5_1_4    ,  __magic_name__=1    ,  __magic_name__=1e-05    ,  __magic_name__=1    ,  __magic_name__=0    ,  __magic_name__=2    ,  __magic_name__="absolute"    ,  __magic_name__=True    ,  **__magic_name__    ,  ):
       super().__init__(**__magic_name__      )

       lowerCamelCase		:	int							=      vocab_size
       lowerCamelCase		:	int							=      hidden_size
       lowerCamelCase		:	Any							=      num_hidden_layers
       lowerCamelCase		:	Union[str, Any]							=      num_attention_heads
       lowerCamelCase		:	Tuple							=      hidden_act
       lowerCamelCase		:	Optional[int]							=      initializer_factor
       lowerCamelCase		:	Any							=      intermediate_size
       lowerCamelCase		:	List[str]							=      hidden_dropout_prob
       lowerCamelCase		:	Dict							=      attention_probs_dropout_prob
       lowerCamelCase		:	str							=      max_position_embeddings
       lowerCamelCase		:	Union[str, Any]							=      type_vocab_size
       lowerCamelCase		:	Optional[int]							=      layer_norm_eps
       lowerCamelCase		:	Optional[int]							=      position_embedding_type
       lowerCamelCase		:	List[str]							=      use_cache
       lowerCamelCase		:	List[str]							=      pad_token_id
       lowerCamelCase		:	List[str]							=      bos_token_id
       lowerCamelCase		:	Optional[int]							=      eos_token_id






      @classmethod
      def 						UpperCamelCase__							(      cls    ,  __magic_name__    ,  **__magic_name__      ):
       lowerCamelCase			,    lowerCamelCase		:	int							=      cls.get_config_dict(__magic_name__    ,  **__magic_name__      )

       if config_dict.get("""model_type"""      ) == "bridgetower":
        lowerCamelCase		:	Optional[int]							=      config_dict["""text_config"""]

       if "model_type" in config_dict and hasattr(cls    ,  """model_type"""      ) and config_dict["model_type"] != cls.model_type:
        logger.warning(
            F'''You are using a model of type {config_dict["model_type"]} to instantiate a model of type '''
            F'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.'''      )

       return cls.from_dict(__magic_name__    ,  **__magic_name__      )





class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    Dict           =			"""bridgetower"""
      def __init__(      self    ,  __magic_name__=True    ,  __magic_name__="gelu"    ,  __magic_name__=7_6_8    ,  __magic_name__=1    ,  __magic_name__=1e-05    ,  __magic_name__=False    ,  __magic_name__="add"    ,  __magic_name__=1_2    ,  __magic_name__=6    ,  __magic_name__=False    ,  __magic_name__=False    ,  __magic_name__=None    ,  __magic_name__=None    ,  **__magic_name__    ,  ):
       # TODO: remove this once the Hub files are updated.
       lowerCamelCase		:	int							=      kwargs.pop("""text_config_dict"""    ,  __magic_name__      )
       lowerCamelCase		:	str							=      kwargs.pop("""vision_config_dict"""    ,  __magic_name__      )

       super().__init__(**__magic_name__      )
       lowerCamelCase		:	str							=      share_cross_modal_transformer_layers
       lowerCamelCase		:	Union[str, Any]							=      hidden_act
       lowerCamelCase		:	str							=      hidden_size
       lowerCamelCase		:	Tuple							=      initializer_factor
       lowerCamelCase		:	List[str]							=      layer_norm_eps
       lowerCamelCase		:	int							=      share_link_tower_layers
       lowerCamelCase		:	List[Any]							=      link_tower_type
       lowerCamelCase		:	Tuple							=      num_attention_heads
       lowerCamelCase		:	int							=      num_hidden_layers
       lowerCamelCase		:	Union[str, Any]							=      tie_word_embeddings
       lowerCamelCase		:	Tuple							=      init_layernorm_from_vision_encoder

       if text_config is None:
        lowerCamelCase		:	Any							=      {}
        logger.info("""`text_config` is `None`. Initializing the `BridgeTowerTextConfig` with default values."""      )

       if vision_config is None:
        lowerCamelCase		:	int							=      {}
        logger.info("""`vision_config` is `None`. Initializing the `BridgeTowerVisionConfig` with default values."""      )

       lowerCamelCase		:	Any							=      BridgeTowerTextConfig(**__magic_name__      )
       lowerCamelCase		:	Optional[Any]							=      BridgeTowerVisionConfig(**__magic_name__      )
      @classmethod
      def 						UpperCamelCase__							(      cls    ,  __magic_name__    ,  __magic_name__    ,  **__magic_name__      ):
       return cls(text_config=text_config.to_dict()    ,  vision_config=vision_config.to_dict()    ,  **__magic_name__      )






      def 						UpperCamelCase__							(      self      ):
       lowerCamelCase		:	str							=      copy.deepcopy(self.__dict__      )
       lowerCamelCase		:	int							=      self.text_config.to_dict()
       lowerCamelCase		:	Dict							=      self.vision_config.to_dict()
       lowerCamelCase		:	List[str]							=      self.__class__.model_type
       return output




