
"""simple docstring"""



import copy
import os
from typing import Union

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


a					:	Optional[Any]							=		logging.get_logger(__name__)

a					:	List[Any]							=		{
    '''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_						( _UpperCAmelCase	):
    a      :				str     =				'bridgetower_vision_model'







    def __init__(			self			:       Optional[int]     ,					__UpperCamelCase			:       Union[str, Any]=7_68     ,					__UpperCamelCase			:       Optional[Any]=12     ,					__UpperCamelCase			:       Dict=3     ,					__UpperCamelCase			:       Optional[int]=16     ,					__UpperCamelCase			:       str=2_88     ,					__UpperCamelCase			:       Optional[Any]=1     ,					__UpperCamelCase			:       Optional[int]=1e-05     ,					__UpperCamelCase			:       Dict=False     ,					__UpperCamelCase			:       Union[str, Any]=True     ,					__UpperCamelCase			:       Tuple=False     ,					**__UpperCamelCase			:       Tuple     ,					)		->int:






        '''simple docstring'''






        super().__init__(**__UpperCamelCase     )
        _UpperCAmelCase          =   hidden_size
        _UpperCAmelCase          =   num_hidden_layers
        _UpperCAmelCase          =   num_channels
        _UpperCAmelCase          =   patch_size
        _UpperCAmelCase          =   image_size
        _UpperCAmelCase          =   initializer_factor
        _UpperCAmelCase          =   layer_norm_eps
        _UpperCAmelCase          =   stop_gradient
        _UpperCAmelCase          =   share_layernorm
        _UpperCAmelCase          =   remove_last_layer







    @classmethod
    def      _snake_case					(			cls			:       Tuple     ,					__UpperCamelCase			:       Union[str, os.PathLike]     ,					**__UpperCamelCase			:       int     )		->"PretrainedConfig":






        '''simple docstring'''






        _UpperCAmelCase    ,_UpperCAmelCase          =   cls.get_config_dict(__UpperCamelCase     ,					**__UpperCamelCase     )

        if config_dict.get("""model_type"""     ) == "bridgetower":
            _UpperCAmelCase          =   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(__UpperCamelCase     ,					**__UpperCamelCase     )







class 		a_						( _UpperCAmelCase	):
    a      :				List[Any]     =				'bridgetower_text_model'







    def __init__(			self			:       str     ,					__UpperCamelCase			:       Optional[Any]=5_02_65     ,					__UpperCamelCase			:       Optional[Any]=7_68     ,					__UpperCamelCase			:       Any=12     ,					__UpperCamelCase			:       Tuple=12     ,					__UpperCamelCase			:       int=1     ,					__UpperCamelCase			:       List[str]=30_72     ,					__UpperCamelCase			:       Union[str, Any]="gelu"     ,					__UpperCamelCase			:       Union[str, Any]=0.1     ,					__UpperCamelCase			:       Optional[int]=0.1     ,					__UpperCamelCase			:       List[str]=5_14     ,					__UpperCamelCase			:       Dict=1     ,					__UpperCamelCase			:       Any=1e-05     ,					__UpperCamelCase			:       List[str]=1     ,					__UpperCamelCase			:       List[Any]=0     ,					__UpperCamelCase			:       Optional[Any]=2     ,					__UpperCamelCase			:       str="absolute"     ,					__UpperCamelCase			:       List[str]=True     ,					**__UpperCamelCase			:       Dict     ,					)		->Union[str, Any]:






        '''simple docstring'''






        super().__init__(**__UpperCamelCase     )

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







    @classmethod
    def      _snake_case					(			cls			:       Optional[int]     ,					__UpperCamelCase			:       Union[str, os.PathLike]     ,					**__UpperCamelCase			:       List[Any]     )		->"PretrainedConfig":






        '''simple docstring'''






        _UpperCAmelCase    ,_UpperCAmelCase          =   cls.get_config_dict(__UpperCamelCase     ,					**__UpperCamelCase     )

        if config_dict.get("""model_type"""     ) == "bridgetower":
            _UpperCAmelCase          =   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(__UpperCamelCase     ,					**__UpperCamelCase     )







class 		a_						( _UpperCAmelCase	):
    a      :				Dict     =				'bridgetower'







    def __init__(			self			:       Any     ,					__UpperCamelCase			:       Tuple=True     ,					__UpperCamelCase			:       Any="gelu"     ,					__UpperCamelCase			:       str=7_68     ,					__UpperCamelCase			:       Dict=1     ,					__UpperCamelCase			:       List[Any]=1e-05     ,					__UpperCamelCase			:       Optional[int]=False     ,					__UpperCamelCase			:       str="add"     ,					__UpperCamelCase			:       Union[str, Any]=12     ,					__UpperCamelCase			:       Tuple=6     ,					__UpperCamelCase			:       Any=False     ,					__UpperCamelCase			:       str=False     ,					__UpperCamelCase			:       Tuple=None     ,					__UpperCamelCase			:       Any=None     ,					**__UpperCamelCase			:       Optional[int]     ,					)		->List[Any]:






        '''simple docstring'''






        _UpperCAmelCase          =   kwargs.pop("""text_config_dict"""     ,					__UpperCamelCase     )
        _UpperCAmelCase          =   kwargs.pop("""vision_config_dict"""     ,					__UpperCamelCase     )

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

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

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

        _UpperCAmelCase          =   BridgeTowerTextConfig(**__UpperCamelCase     )
        _UpperCAmelCase          =   BridgeTowerVisionConfig(**__UpperCamelCase     )







    @classmethod
    def      _snake_case					(			cls			:       List[str]     ,					__UpperCamelCase			:       BridgeTowerTextConfig     ,					__UpperCamelCase			:       BridgeTowerVisionConfig     ,					**__UpperCamelCase			:       List[Any]     )		->Optional[Any]:






        '''simple docstring'''






        return cls(text_config=text_config.to_dict()     ,					vision_config=vision_config.to_dict()     ,					**__UpperCamelCase     )







    def      _snake_case					(			self			:       Any     )		->List[Any]:






        '''simple docstring'''






        _UpperCAmelCase          =   copy.deepcopy(self.__dict__     )
        _UpperCAmelCase          =   self.text_config.to_dict()
        _UpperCAmelCase          =   self.vision_config.to_dict()
        _UpperCAmelCase          =   self.__class__.model_type
        return output

"""simple docstring"""



import argparse
import os
import re

import packaging.version


a					:	str							=		'''examples/'''
a					:	List[str]							=		{
    '''examples''': (re.compile(r'''^check_min_version\("[^"]+"\)\s*$''', re.MULTILINE), '''check_min_version("VERSION")\n'''),
    '''init''': (re.compile(r'''^__version__\s+=\s+"([^"]+)"\s*$''', re.MULTILINE), '''__version__ = "VERSION"\n'''),
    '''setup''': (re.compile(r'''^(\s*)version\s*=\s*"[^"]+",''', re.MULTILINE), r'''\1version="VERSION",'''),
    '''doc''': (re.compile(r'''^(\s*)release\s*=\s*"[^"]+"$''', re.MULTILINE), '''release = "VERSION"\n'''),
}
a					:	Tuple							=		{
    '''init''': '''src/diffusers/__init__.py''',
    '''setup''': '''setup.py''',
}
a					:	List[str]							=		'''README.md'''


def  _UpperCamelCase	(						_A					,      _A					,      _A      )    ->  Dict:





    """simple docstring"""

    with open(_A					,      """r"""					,      encoding="""utf-8"""					,      newline="""\n"""      ) as f:
        _UpperCAmelCase          =   f.read()
    _UpperCAmelCase    ,_UpperCAmelCase          =   REPLACE_PATTERNS[pattern]
    _UpperCAmelCase          =   replace.replace("""VERSION"""					,      _A      )
    _UpperCAmelCase          =   re_pattern.sub(_A					,      _A      )
    with open(_A					,      """w"""					,      encoding="""utf-8"""					,      newline="""\n"""      ) as f:
        f.write(_A      )


def  _UpperCamelCase	(						_A      )    ->  Union[str, Any]:





    """simple docstring"""

    for folder, directories, fnames in os.walk(_A      ):
        # Removing some of the folders with non-actively maintained examples from the walk
        if "research_projects" in directories:
            directories.remove("""research_projects"""      )
        if "legacy" in directories:
            directories.remove("""legacy"""      )
        for fname in fnames:
            if fname.endswith(""".py"""      ):
                update_version_in_file(os.path.join(_A					,      _A      )					,      _A					,      pattern="""examples"""      )


def  _UpperCamelCase	(						_A					,      _A=False      )    ->  int:





    """simple docstring"""

    for pattern, fname in REPLACE_FILES.items():
        update_version_in_file(_A					,      _A					,      _A      )
    if not patch:
        update_version_in_examples(_A      )


def  _UpperCamelCase	(						)    ->  Any:





    """simple docstring"""

    _UpperCAmelCase          =   """🤗 Transformers currently provides the following architectures"""
    _UpperCAmelCase          =   """1. Want to contribute a new model?"""
    with open(_A					,      """r"""					,      encoding="""utf-8"""					,      newline="""\n"""      ) as f:
        _UpperCAmelCase          =   f.readlines()

    # Find the start of the list.
    _UpperCAmelCase          =   0
    while not lines[start_index].startswith(_start_prompt      ):
        start_index += 1
    start_index += 1

    _UpperCAmelCase          =   start_index
    # Update the lines in the model list.
    while not lines[index].startswith(_end_prompt      ):
        if lines[index].startswith("""1."""      ):
            _UpperCAmelCase          =   lines[index].replace(
                """https://huggingface.co/docs/diffusers/main/model_doc"""					,      """https://huggingface.co/docs/diffusers/model_doc"""					,      )
        index += 1

    with open(_A					,      """w"""					,      encoding="""utf-8"""					,      newline="""\n"""      ) as f:
        f.writelines(_A      )


def  _UpperCamelCase	(						)    ->  Optional[int]:





    """simple docstring"""

    with open(REPLACE_FILES["""init"""]					,      """r"""      ) as f:
        _UpperCAmelCase          =   f.read()
    _UpperCAmelCase          =   REPLACE_PATTERNS["""init"""][0].search(_A      ).groups()[0]
    return packaging.version.parse(_A      )


def  _UpperCamelCase	(						_A=False      )    ->  List[Any]:





    """simple docstring"""

    _UpperCAmelCase          =   get_version()
    if patch and default_version.is_devrelease:
        raise ValueError("""Can't create a patch version from the dev branch, checkout a released version!"""      )
    if default_version.is_devrelease:
        _UpperCAmelCase          =   default_version.base_version
    elif patch:
        _UpperCAmelCase          =   F"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
    else:
        _UpperCAmelCase          =   F"""{default_version.major}.{default_version.minor + 1}.0"""

    # Now let's ask nicely if that's the right one.
    _UpperCAmelCase          =   input(F"""Which version are you releasing? [{default_version}]"""      )
    if len(_A      ) == 0:
        _UpperCAmelCase          =   default_version

    print(F"""Updating version to {version}."""      )
    global_version_update(_A					,      patch=_A      )


def  _UpperCamelCase	(						)    ->  List[Any]:





    """simple docstring"""

    _UpperCAmelCase          =   get_version()
    _UpperCAmelCase          =   F"""{current_version.major}.{current_version.minor + 1}.0.dev0"""
    _UpperCAmelCase          =   current_version.base_version

    # Check with the user we got that right.
    _UpperCAmelCase          =   input(F"""Which version are we developing now? [{dev_version}]"""      )
    if len(_A      ) == 0:
        _UpperCAmelCase          =   dev_version

    print(F"""Updating version to {version}."""      )
    global_version_update(_A      )


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
 a					:	Dict							=		argparse.ArgumentParser()
 parser.add_argument('''--post_release''', action='''store_true''', help='''Whether this is pre or post release.''')
 parser.add_argument('''--patch''', action='''store_true''', help='''Whether or not this is a patch release.''')
 a					:	Tuple							=		parser.parse_args()
 if not args.post_release:
  pre_release_work(patch=args.patch)
 elif args.patch:
  print('''Nothing to do after a patch :-)''')
 else:
  post_release_work()