


import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


snake_case				:    Optional[Any]       				=     NewType('''DataClass''', Any)
snake_case				:    Union[str, Any]       				=     NewType('''DataClassType''', Any)
def 				__lowerCamelCase						( UpperCAmelCase_						:		str						):




      """simple docstring"""





      if isinstance(__lowerCamelCase ,  __lowerCamelCase						):
            return v
      if v.lower() in ("yes", "true", "t", "y", "1"):
            return True
      elif v.lower() in ("no", "false", "f", "n", "0"):
            return False
      else:
            raise ArgumentTypeError(
                F'''Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive).'''						)
def 				__lowerCamelCase						( UpperCAmelCase_						:		list						):




      """simple docstring"""





      a						:Any 							=       {str(__lowerCamelCase						): choice for choice in choices}
      return lambda UpperCAmelCase_						: str_to_choice.get(__lowerCamelCase ,  __lowerCamelCase						)
def 				__lowerCamelCase						( *,
    UpperCAmelCase_						:		Union[str, List[str]] = None ,  UpperCAmelCase_						:		str = None ,  UpperCAmelCase_						:		Any = dataclasses.MISSING ,  UpperCAmelCase_						:		Callable[[], Any] = dataclasses.MISSING ,  UpperCAmelCase_						:		dict = None ,  **UpperCAmelCase_						:		Optional[Any] ,  ):




      """simple docstring"""





      if metadata is None:
            # Important, don't use as default param in function signature because dict is mutable and shared across function calls
            a						:List[str] 							=       {}
      if aliases is not None:
            a						:str 							=       aliases
      if help is not None:
            a						:Dict 							=       help

      return dataclasses.field(metadata=__lowerCamelCase ,  default=__lowerCamelCase ,  default_factory=__lowerCamelCase ,  **__lowerCamelCase						)







class 		_snake_case  (      snake_case_							):
 SCREAMING_SNAKE_CASE__      =       42




 def __init__(		self					,  _lowerCamelCase					,  **_lowerCamelCase    ):
       # To make the default appear when using --help
       if "formatter_class" not in kwargs:
             a						:Tuple 							=       ArgumentDefaultsHelpFormatter
       super().__init__(**_lowerCamelCase    )
       if dataclasses.is_dataclass(_lowerCamelCase    ):
             a						:Optional[Any] 							=       [dataclass_types]
       a						:List[str] 							=       list(_lowerCamelCase    )
       for dtype in self.dataclass_types:
             self._add_dataclass_arguments(_lowerCamelCase    )




 @staticmethod
 def        SCREAMING_SNAKE_CASE__				(		_lowerCamelCase					,  _lowerCamelCase    ):
       a						:Dict 							=       F'''--{field.name}'''
       a						:List[str] 							=       field.metadata.copy()
       # field.metadata is not used at all by Data Classes,
       # it is provided as a third-party extension mechanism.
       if isinstance(field.type					,  _lowerCamelCase    ):
             raise RuntimeError(
                 '''Unresolved type detected, which should have been done with the help of '''
                 '''`typing.get_type_hints` method by default'''    )

       a						:Tuple 							=       kwargs.pop('''aliases'''					,  []    )
       if isinstance(_lowerCamelCase					,  _lowerCamelCase    ):
             a						:Any 							=       [aliases]

       a						:Dict 							=       getattr(field.type					,  '''__origin__'''					,  field.type    )
       if origin_type is Union or (hasattr(_lowerCamelCase					,  '''UnionType'''    ) and isinstance(_lowerCamelCase					,  types.UnionType    )):
             if str not in field.type.__args__ and (
                 len(field.type.__args__    ) != 2 or type(_lowerCamelCase    ) not in field.type.__args__
             ):
                   raise ValueError(
                       '''Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because'''
                       ''' the argument parser only supports one type per argument.'''
                       F''' Problem encountered in field \'{field.name}\'.'''    )
             if type(_lowerCamelCase    ) not in field.type.__args__:
                   # filter `str` in Union
                   a						:List[Any] 							=       field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
                   a						:Dict 							=       getattr(field.type					,  '''__origin__'''					,  field.type    )
             elif bool not in field.type.__args__:
                   # filter `NoneType` in Union (except for `Union[bool, NoneType]`)
                   a						:Optional[int] 							=       (
                       field.type.__args__[0] if isinstance(_lowerCamelCase					,  field.type.__args__[1]    ) else field.type.__args__[1]
                   )
                   a						:List[Any] 							=       getattr(field.type					,  '''__origin__'''					,  field.type    )

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
       a						:Optional[Any] 							=       {}
       if origin_type is Literal or (isinstance(field.type					,  _lowerCamelCase    ) and issubclass(field.type					,  _lowerCamelCase    )):
             if origin_type is Literal:
                   a						:Optional[int] 							=       field.type.__args__
             else:
                   a						:int 							=       [x.value for x in field.type]

             a						:Optional[Any] 							=       make_choice_type_function(kwargs['''choices''']    )

             if field.default is not dataclasses.MISSING:
                   a						:Optional[Any] 							=       field.default
             else:
                   a						:Union[str, Any] 							=       True
       elif field.type is bool or field.type == Optional[bool]:
             # Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
             # We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
             a						:List[Any] 							=       copy(_lowerCamelCase    )

             # Hack because type=bool in argparse does not behave as we want.
             a						:Optional[int] 							=       string_to_bool
             if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
                   # Default value is False if we have no default when of type bool.
                   a						:Dict 							=       False if field.default is dataclasses.MISSING else field.default
                   # This is the value that will get picked if we don't include --field_name in any way
                   a						:Optional[Any] 							=       default
                   # This tells argparse we accept 0 or 1 value after --field_name
                   a						:str 							=       '''?'''
                   # This is the value that will get picked if we do --field_name (without value)
                   a						:Union[str, Any] 							=       True
       elif isclass(_lowerCamelCase    ) and issubclass(_lowerCamelCase					,  _lowerCamelCase    ):
             a						:int 							=       field.type.__args__[0]
             a						:Union[str, Any] 							=       '''+'''
             if field.default_factory is not dataclasses.MISSING:
                   a						:Dict 							=       field.default_factory()
             elif field.default is dataclasses.MISSING:
                   a						:Optional[int] 							=       True
       else:
             a						:Optional[Any] 							=       field.type
             if field.default is not dataclasses.MISSING:
                   a						:Union[str, Any] 							=       field.default
             elif field.default_factory is not dataclasses.MISSING:
                   a						:Any 							=       field.default_factory()
             else:
                   a						:Optional[int] 							=       True
       parser.add_argument(_lowerCamelCase					,  *_lowerCamelCase					,  **_lowerCamelCase    )

       # Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
       # Order is important for arguments with the same destination!
       # We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
       # here and we do not need those changes/additional keys.
       if field.default is True and (field.type is bool or field.type == Optional[bool]):
             a						:Dict 							=       False
             parser.add_argument(F'''--no_{field.name}'''					,  action='''store_false'''					,  dest=field.name					,  **_lowerCamelCase    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):
       if hasattr(_lowerCamelCase					,  '''_argument_group_name'''    ):
             a						:str 							=       self.add_argument_group(dtype._argument_group_name    )
       else:
             a						:Tuple 							=       self

       try:
             a						:List[Any] 							=       get_type_hints(_lowerCamelCase    )
       except NameError:
             raise RuntimeError(
                 F'''Type resolution failed for {dtype}. Try declaring the class in global scope or '''
                 '''removing line of `from __future__ import annotations` which opts in Postponed '''
                 '''Evaluation of Annotations (PEP 563)'''    )
       except TypeError as ex:
             # Remove this block when we drop Python 3.9 support
             if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(_lowerCamelCase    ):
                   a						:int 							=       '''.'''.join(map(_lowerCamelCase					,  sys.version_info[:3]    )    )
                   raise RuntimeError(
                       F'''Type resolution failed for {dtype} on Python {python_version}. Try removing '''
                       '''line of `from __future__ import annotations` which opts in union types as '''
                       '''`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To '''
                       '''support Python versions that lower than 3.10, you need to use '''
                       '''`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of '''
                       '''`X | None`.'''    ) from ex
             raise

       for field in dataclasses.fields(_lowerCamelCase    ):
             if not field.init:
                   continue
             a						:Tuple 							=       type_hints[field.name]
             self._parse_dataclass_field(_lowerCamelCase					,  _lowerCamelCase    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase=None					,  _lowerCamelCase=False					,  _lowerCamelCase=True					,  _lowerCamelCase=None					,  _lowerCamelCase=None					,  ):

       if args_file_flag or args_filename or (look_for_args_file and len(sys.argv    )):
             a						:Tuple 							=       []

             if args_filename:
                   args_files.append(Path(_lowerCamelCase    )    )
             elif look_for_args_file and len(sys.argv    ):
                   args_files.append(Path(sys.argv[0]    ).with_suffix('''.args'''    )    )

             # args files specified via command line flag should overwrite default args files so we add them last
             if args_file_flag:
                   # Create special parser just to extract the args_file_flag values
                   a						:str 							=       ArgumentParser()
                   args_file_parser.add_argument(_lowerCamelCase					,  type=_lowerCamelCase					,  action='''append'''    )

                   # Use only remaining args for further parsing (remove the args_file_flag)
                   a							,				a						:List[Any] 							=       args_file_parser.parse_known_args(args=_lowerCamelCase    )
                   a						:Optional[int] 							=       vars(_lowerCamelCase    ).get(args_file_flag.lstrip('''-'''    )					,  _lowerCamelCase    )

                   if cmd_args_file_paths:
                         args_files.extend([Path(_lowerCamelCase    ) for p in cmd_args_file_paths]    )

             a						:Optional[int] 							=       []
             for args_file in args_files:
                   if args_file.exists():
                         file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
             a						:int 							=       file_args + args if args is not None else file_args + sys.argv[1:]
       a							,				a						:List[Any] 							=       self.parse_known_args(args=_lowerCamelCase    )
       a						:Union[str, Any] 							=       []
       for dtype in self.dataclass_types:
             a						:Union[str, Any] 							=       {f.name for f in dataclasses.fields(_lowerCamelCase    ) if f.init}
             a						:Union[str, Any] 							=       {k: v for k, v in vars(_lowerCamelCase    ).items() if k in keys}
             for k in keys:
                   delattr(_lowerCamelCase					,  _lowerCamelCase    )
             a						:List[Any] 							=       dtype(**_lowerCamelCase    )
             outputs.append(_lowerCamelCase    )
       if len(namespace.__dict__    ) > 0:
             # additional namespace.
             outputs.append(_lowerCamelCase    )
       if return_remaining_strings:
             return (*outputs, remaining_args)
       else:
             if remaining_args:
                   raise ValueError(F'''Some specified arguments are not used by the HfArgumentParser: {remaining_args}'''    )

             return (*outputs,)




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase					,  _lowerCamelCase = False    ):
       a						:Any 							=       set(args.keys()    )
       a						:Optional[Any] 							=       []
       for dtype in self.dataclass_types:
             a						:Dict 							=       {f.name for f in dataclasses.fields(_lowerCamelCase    ) if f.init}
             a						:Optional[int] 							=       {k: v for k, v in args.items() if k in keys}
             unused_keys.difference_update(inputs.keys()    )
             a						:List[str] 							=       dtype(**_lowerCamelCase    )
             outputs.append(_lowerCamelCase    )
       if not allow_extra_keys and unused_keys:
             raise ValueError(F'''Some keys are not used by the HfArgumentParser: {sorted(_lowerCamelCase    )}'''    )
       return tuple(_lowerCamelCase    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase					,  _lowerCamelCase = False    ):
       with open(Path(_lowerCamelCase    )					,  encoding='''utf-8'''    ) as open_json_file:
             a						:Optional[Any] 							=       json.loads(open_json_file.read()    )
       a						:List[Any] 							=       self.parse_dict(_lowerCamelCase					,  allow_extra_keys=_lowerCamelCase    )
       return tuple(_lowerCamelCase    )




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase					,  _lowerCamelCase = False    ):
       a						:int 							=       self.parse_dict(yaml.safe_load(Path(_lowerCamelCase    ).read_text()    )					,  allow_extra_keys=_lowerCamelCase    )
       return tuple(_lowerCamelCase    )












'''simple docstring'''

import copy
import os
from typing import Union

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


lowercase_					= logging.get_logger(__name__)

lowercase_					= {
    """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_     (				snake_case_       ):

    '''simple docstring'''
    UpperCamelCase     = '''bridgetower_vision_model'''


    def __init__(		self ,		A=768 ,		A=12 ,		A=3 ,		A=16 ,		A=288 ,		A=1 ,		A=1e-05 ,		A=False ,		A=True ,		A=False ,		**A ,		)		->   Dict:
        super().__init__(**A       )
        _SCREAMING_SNAKE_CASE									=			hidden_size
        _SCREAMING_SNAKE_CASE									=			num_hidden_layers
        _SCREAMING_SNAKE_CASE									=			num_channels
        _SCREAMING_SNAKE_CASE									=			patch_size
        _SCREAMING_SNAKE_CASE									=			image_size
        _SCREAMING_SNAKE_CASE									=			initializer_factor
        _SCREAMING_SNAKE_CASE									=			layer_norm_eps
        _SCREAMING_SNAKE_CASE									=			stop_gradient
        _SCREAMING_SNAKE_CASE									=			share_layernorm
        _SCREAMING_SNAKE_CASE									=			remove_last_layer





    @classmethod
    def 			snake_case_(		cls ,		A ,		**A       )		->   "PretrainedConfig":
        _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE									=			cls.get_config_dict(A ,		**A       )

        if config_dict.get("""model_type"""       ) == "bridgetower":
            _SCREAMING_SNAKE_CASE									=			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(A ,		**A       )




class 					a_     (				snake_case_       ):

    '''simple docstring'''
    UpperCamelCase     = '''bridgetower_text_model'''


    def __init__(		self ,		A=5_0265 ,		A=768 ,		A=12 ,		A=12 ,		A=1 ,		A=3072 ,		A="gelu" ,		A=0.1 ,		A=0.1 ,		A=514 ,		A=1 ,		A=1e-05 ,		A=1 ,		A=0 ,		A=2 ,		A="absolute" ,		A=True ,		**A ,		)		->   Union[str, Any]:
        super().__init__(**A       )

        _SCREAMING_SNAKE_CASE									=			vocab_size
        _SCREAMING_SNAKE_CASE									=			hidden_size
        _SCREAMING_SNAKE_CASE									=			num_hidden_layers
        _SCREAMING_SNAKE_CASE									=			num_attention_heads
        _SCREAMING_SNAKE_CASE									=			hidden_act
        _SCREAMING_SNAKE_CASE									=			initializer_factor
        _SCREAMING_SNAKE_CASE									=			intermediate_size
        _SCREAMING_SNAKE_CASE									=			hidden_dropout_prob
        _SCREAMING_SNAKE_CASE									=			attention_probs_dropout_prob
        _SCREAMING_SNAKE_CASE									=			max_position_embeddings
        _SCREAMING_SNAKE_CASE									=			type_vocab_size
        _SCREAMING_SNAKE_CASE									=			layer_norm_eps
        _SCREAMING_SNAKE_CASE									=			position_embedding_type
        _SCREAMING_SNAKE_CASE									=			use_cache
        _SCREAMING_SNAKE_CASE									=			pad_token_id
        _SCREAMING_SNAKE_CASE									=			bos_token_id
        _SCREAMING_SNAKE_CASE									=			eos_token_id





    @classmethod
    def 			snake_case_(		cls ,		A ,		**A       )		->   "PretrainedConfig":
        _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE									=			cls.get_config_dict(A ,		**A       )

        if config_dict.get("""model_type"""       ) == "bridgetower":
            _SCREAMING_SNAKE_CASE									=			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(A ,		**A       )




class 					a_     (				snake_case_       ):

    '''simple docstring'''
    UpperCamelCase     = '''bridgetower'''


    def __init__(		self ,		A=True ,		A="gelu" ,		A=768 ,		A=1 ,		A=1e-05 ,		A=False ,		A="add" ,		A=12 ,		A=6 ,		A=False ,		A=False ,		A=None ,		A=None ,		**A ,		)		->   Tuple:
        # TODO: remove this once the Hub files are updated.
        _SCREAMING_SNAKE_CASE									=			kwargs.pop("""text_config_dict""" ,		A       )
        _SCREAMING_SNAKE_CASE									=			kwargs.pop("""vision_config_dict""" ,		A       )

        super().__init__(**A       )
        _SCREAMING_SNAKE_CASE									=			share_cross_modal_transformer_layers
        _SCREAMING_SNAKE_CASE									=			hidden_act
        _SCREAMING_SNAKE_CASE									=			hidden_size
        _SCREAMING_SNAKE_CASE									=			initializer_factor
        _SCREAMING_SNAKE_CASE									=			layer_norm_eps
        _SCREAMING_SNAKE_CASE									=			share_link_tower_layers
        _SCREAMING_SNAKE_CASE									=			link_tower_type
        _SCREAMING_SNAKE_CASE									=			num_attention_heads
        _SCREAMING_SNAKE_CASE									=			num_hidden_layers
        _SCREAMING_SNAKE_CASE									=			tie_word_embeddings
        _SCREAMING_SNAKE_CASE									=			init_layernorm_from_vision_encoder

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

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

        _SCREAMING_SNAKE_CASE									=			BridgeTowerTextConfig(**A       )
        _SCREAMING_SNAKE_CASE									=			BridgeTowerVisionConfig(**A       )


    @classmethod
    def 			snake_case_(		cls ,		A ,		A ,		**A       )		->   int:
        return cls(text_config=text_config.to_dict() ,		vision_config=vision_config.to_dict() ,		**A       )





    def 			snake_case_(		self       )		->   List[Any]:
        _SCREAMING_SNAKE_CASE									=			copy.deepcopy(self.__dict__       )
        _SCREAMING_SNAKE_CASE									=			self.text_config.to_dict()
        _SCREAMING_SNAKE_CASE									=			self.vision_config.to_dict()
        _SCREAMING_SNAKE_CASE									=			self.__class__.model_type
        return output



