


'''simple docstring'''







import collections
import os
import re
from pathlib import Path


A__:    str					    =       '''src/transformers'''


# Matches is_xxx_available()
A__:    List[str]					    =       re.compile(R'''is\_([a-z_]*)_available()''')
# Catches a one-line _import_struct = {xxx}
A__:    Optional[int]					    =       re.compile(R'''^_import_structure\s+=\s+\{([^\}]+)\}''')
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
A__:    int					    =       re.compile(R'''\s+"\S*":\s+\[([^\]]*)\]''')
# Catches a line if not is_foo_available
A__:    List[Any]					    =       re.compile(R'''^\s*if\s+not\s+is\_[a-z_]*\_available\(\)''')
# Catches a line _import_struct["bla"].append("foo")
A__:    Dict					    =       re.compile(R'''^\s*_import_structure\["\S*"\]\.append\("(\S*)"\)''')
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
A__:    Optional[int]					    =       re.compile(R'''^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]''')
# Catches a line with an object between quotes and a comma:     "MyModel",
A__:    Any					    =       re.compile(R'''^\s+"([^"]+)",''')
# Catches a line with objects between brackets only:    ["foo", "bar"],
A__:    Optional[int]					    =       re.compile(R'''^\s+\[([^\]]+)\]''')
# Catches a line with from foo import bar, bla, boo
A__:    Any					    =       re.compile(R'''\s+from\s+\S*\s+import\s+([^\(\s].*)\n''')
# Catches a line with try:
A__:    Tuple					    =       re.compile(R'''^\s*try:''')
# Catches a line with else:
A__:    str					    =       re.compile(R'''^\s*else:''')


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	List[str]  )  ->			List[Any]:
       if _re_test_backend.search(_UpperCAmelCase  ) is None:
              return None
       _a    : int     					=[b[0] for b in _re_backend.findall(_UpperCAmelCase  )]
       backends.sort()
       return "_and_".join(_UpperCAmelCase  )


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Dict  )  ->			Dict:
       with open(_UpperCAmelCase    ,"""r"""    ,encoding="""utf-8"""    ,newline="""\n"""  ) as f:
              _a    : Union[str, Any]     					=f.readlines()

       _a    : Union[str, Any]     					=0
       while line_index < len(_UpperCAmelCase  ) and not lines[line_index].startswith("""_import_structure = {"""  ):
              line_index += 1

       # If this is a traditional init, just return.
       if line_index >= len(_UpperCAmelCase  ):
              return None

       # First grab the objects without a specific backend in _import_structure
       _a    : str     					=[]
       while not lines[line_index].startswith("""if TYPE_CHECKING"""  ) and find_backend(lines[line_index]  ) is None:
              _a    : List[Any]     					=lines[line_index]
              # If we have everything on a single line, let's deal with it.
              if _re_one_line_import_struct.search(_UpperCAmelCase  ):
                     _a    : Optional[Any]     					=_re_one_line_import_struct.search(_UpperCAmelCase  ).groups()[0]
                     _a    : Union[str, Any]     					=re.findall(R"""\[([^\]]+)\]"""    ,_UpperCAmelCase  )
                     for imp in imports:
                            objects.extend([obj[1:-1] for obj in imp.split(""", """  )]  )
                     line_index += 1
                     continue
              _a    : Optional[Any]     					=_re_import_struct_key_value.search(_UpperCAmelCase  )
              if single_line_import_search is not None:
                     _a    : Any     					=[obj[1:-1] for obj in single_line_import_search.groups()[0].split(""", """  ) if len(_UpperCAmelCase  ) > 0]
                     objects.extend(_UpperCAmelCase  )
              elif line.startswith(""" """ * 8 + """\""""  ):
                     objects.append(line[9:-3]  )
              line_index += 1

       _a    : List[str]     					={"""none""": objects}
       # Let's continue with backend-specific objects in _import_structure
       while not lines[line_index].startswith("""if TYPE_CHECKING"""  ):
              # If the line is an if not is_backend_available, we grab all objects associated.
              _a    : int     					=find_backend(lines[line_index]  )
              # Check if the backend declaration is inside a try block:
              if _re_try.search(lines[line_index - 1]  ) is None:
                     _a    : Dict     					=None

              if backend is not None:
                     line_index += 1

                     # Scroll until we hit the else block of try-except-else
                     while _re_else.search(lines[line_index]  ) is None:
                            line_index += 1

                     line_index += 1

                     _a    : Optional[Any]     					=[]
                     # Until we unindent, add backend objects to the list
                     while len(lines[line_index]  ) <= 1 or lines[line_index].startswith(""" """ * 4  ):
                            _a    : int     					=lines[line_index]
                            if _re_import_struct_add_one.search(_UpperCAmelCase  ) is not None:
                                   objects.append(_re_import_struct_add_one.search(_UpperCAmelCase  ).groups()[0]  )
                            elif _re_import_struct_add_many.search(_UpperCAmelCase  ) is not None:
                                   _a    : Any     					=_re_import_struct_add_many.search(_UpperCAmelCase  ).groups()[0].split(""", """  )
                                   _a    : Tuple     					=[obj[1:-1] for obj in imports if len(_UpperCAmelCase  ) > 0]
                                   objects.extend(_UpperCAmelCase  )
                            elif _re_between_brackets.search(_UpperCAmelCase  ) is not None:
                                   _a    : Dict     					=_re_between_brackets.search(_UpperCAmelCase  ).groups()[0].split(""", """  )
                                   _a    : Dict     					=[obj[1:-1] for obj in imports if len(_UpperCAmelCase  ) > 0]
                                   objects.extend(_UpperCAmelCase  )
                            elif _re_quote_object.search(_UpperCAmelCase  ) is not None:
                                   objects.append(_re_quote_object.search(_UpperCAmelCase  ).groups()[0]  )
                            elif line.startswith(""" """ * 8 + """\""""  ):
                                   objects.append(line[9:-3]  )
                            elif line.startswith(""" """ * 12 + """\""""  ):
                                   objects.append(line[13:-3]  )
                            line_index += 1

                     _a    : Any     					=objects
              else:
                     line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
       _a    : Optional[Any]     					=[]
       while (
           line_index < len(_UpperCAmelCase  )
           and find_backend(lines[line_index]  ) is None
           and not lines[line_index].startswith("""else"""  )
       ):
              _a    : Tuple     					=lines[line_index]
              _a    : Dict     					=_re_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

       _a    : Tuple     					={"""none""": objects}
       # Let's continue with backend-specific objects
       while line_index < len(_UpperCAmelCase  ):
              # If the line is an if is_backend_available, we grab all objects associated.
              _a    : Optional[Any]     					=find_backend(lines[line_index]  )
              # Check if the backend declaration is inside a try block:
              if _re_try.search(lines[line_index - 1]  ) is None:
                     _a    : Dict     					=None

              if backend is not None:
                     line_index += 1

                     # Scroll until we hit the else block of try-except-else
                     while _re_else.search(lines[line_index]  ) is None:
                            line_index += 1

                     line_index += 1

                     _a    : int     					=[]
                     # Until we unindent, add backend objects to the list
                     while len(lines[line_index]  ) <= 1 or lines[line_index].startswith(""" """ * 8  ):
                            _a    : int     					=lines[line_index]
                            _a    : List[str]     					=_re_import.search(_UpperCAmelCase  )
                            if single_line_import_search is not None:
                                   objects.extend(single_line_import_search.groups()[0].split(""", """  )  )
                            elif line.startswith(""" """ * 12  ):
                                   objects.append(line[12:-2]  )
                            line_index += 1

                     _a    : List[Any]     					=objects
              else:
                     line_index += 1

       return import_dict_objects, type_hint_objects


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Dict    ,_UpperCAmelCase	:	Any  )  ->			int:

       def find_duplicates(_UpperCAmelCase	:	Union[str, Any]  ):
              return [k for k, v in collections.Counter(_UpperCAmelCase  ).items() if v > 1]

       if list(import_dict_objects.keys()  ) != list(type_hint_objects.keys()  ):
              return ["Both sides of the init do not have the same backends!"]

       _a    : List[str]     					=[]
       for key in import_dict_objects.keys():
              _a    : Optional[int]     					=find_duplicates(import_dict_objects[key]  )
              if duplicate_imports:
                     errors.append(F"Duplicate _import_structure definitions for: {duplicate_imports}"  )
              _a    : List[Any]     					=find_duplicates(type_hint_objects[key]  )
              if duplicate_type_hints:
                     errors.append(F"Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}"  )

              if sorted(set(import_dict_objects[key]  )  ) != sorted(set(type_hint_objects[key]  )  ):
                     _a    : Any     					="""base imports""" if key == """none""" else F"{key} backend"
                     errors.append(F"Differences for {name}:"  )
                     for a in type_hint_objects[key]:
                            if a not in import_dict_objects[key]:
                                   errors.append(F"  {a} in TYPE_HINT but not in _import_structure."  )
                     for a in import_dict_objects[key]:
                            if a not in type_hint_objects[key]:
                                   errors.append(F"  {a} in _import_structure but not in TYPE_HINT."  )
       return errors


def 	SCREAMING_SNAKE_CASE_					(  )  ->			Any:
       _a    : Any     					=[]
       for root, _, files in os.walk(_UpperCAmelCase  ):
              if "__init__.py" in files:
                     _a    : Tuple     					=os.path.join(_UpperCAmelCase    ,"""__init__.py"""  )
                     _a    : Any     					=parse_init(_UpperCAmelCase  )
                     if objects is not None:
                            _a    : Any     					=analyze_results(*_UpperCAmelCase  )
                            if len(_UpperCAmelCase  ) > 0:
                                   _a    : str     					=F"Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"
                                   failures.append("""\n""".join(_UpperCAmelCase  )  )
       if len(_UpperCAmelCase  ) > 0:
              raise ValueError("""\n\n""".join(_UpperCAmelCase  )  )


def 	SCREAMING_SNAKE_CASE_					(  )  ->			List[Any]:
       _a    : Dict     					=[]
       for path, directories, files in os.walk(_UpperCAmelCase  ):
              for folder in directories:
                     # Ignore private modules
                     if folder.startswith("""_"""  ):
                            directories.remove(_UpperCAmelCase  )
                            continue
                     # Ignore leftovers from branches (empty folders apart from pycache)
                     if len(list((Path(_UpperCAmelCase  ) / folder).glob("""*.py"""  )  )  ) == 0:
                            continue
                     _a    : Optional[Any]     					=str((Path(_UpperCAmelCase  ) / folder).relative_to(_UpperCAmelCase  )  )
                     _a    : Any     					=short_path.replace(os.path.sep    ,"""."""  )
                     submodules.append(_UpperCAmelCase  )
              for fname in files:
                     if fname == "__init__.py":
                            continue
                     _a    : Any     					=str((Path(_UpperCAmelCase  ) / fname).relative_to(_UpperCAmelCase  )  )
                     _a    : List[str]     					=short_path.replace(""".py"""    ,""""""  ).replace(os.path.sep    ,"""."""  )
                     if len(submodule.split("""."""  )  ) == 1:
                            submodules.append(_UpperCAmelCase  )
       return submodules


A__:    int					    =       [
    '''convert_pytorch_checkpoint_to_tf2''',
    '''modeling_flax_pytorch_utils''',
    '''models.esm.openfold_utils''',
]


def 	SCREAMING_SNAKE_CASE_					(  )  ->			Optional[Any]:
       # This is to make sure the transformers module imported is the one in the repo.
       from transformers.utils import direct_transformers_import

       _a    : int     					=direct_transformers_import(_UpperCAmelCase  )

       _a    : Any     					=set(transformers._import_structure.keys()  )
       # This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
       # some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
       # (potentiall re-) add them.
       with open(os.path.join(_UpperCAmelCase    ,"""__init__.py"""  )    ,"""r"""  ) as f:
              _a    : Tuple     					=f.read()
       import_structure_keys.update(set(re.findall(R"""import_structure\[\"([^\"]*)\"\]"""    ,_UpperCAmelCase  )  )  )

       _a    : List[str]     					=[
           module
           for module in get_transformers_submodules()
           if module not in IGNORE_SUBMODULES and module not in import_structure_keys
       ]

       if len(_UpperCAmelCase  ) > 0:
              _a    : Optional[int]     					="""\n""".join(F"- {module}" for module in module_not_registered  )
              raise ValueError(
                  """The following submodules are not properly registed in the main init of Transformers:\n"""
                  F"{list_of_modules}\n"
                  """Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value."""  )


if __name__ == "__main__":
   check_all_inits()
   check_submodules()






'''simple docstring'''







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


A__:    Dict					    =       logging.get_logger(__name__)

A__:    Tuple					    =       {
    '''weiweishi/roc-bert-base-zh''': '''https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json''',
}







class A__       (						UpperCAmelCase__      ):
      __UpperCamelCase       :  Tuple	       =							"roc_bert"






      def __init__( self			:Optional[int]     ,						SCREAMING_SNAKE_CASE			:Tuple=3_0_5_2_2     ,						SCREAMING_SNAKE_CASE			:List[str]=7_6_8     ,						SCREAMING_SNAKE_CASE			:Dict=1_2     ,						SCREAMING_SNAKE_CASE			:List[str]=1_2     ,						SCREAMING_SNAKE_CASE			:Tuple=3_0_7_2     ,						SCREAMING_SNAKE_CASE			:List[Any]="gelu"     ,						SCREAMING_SNAKE_CASE			:Union[str, Any]=0.1     ,						SCREAMING_SNAKE_CASE			:List[Any]=0.1     ,						SCREAMING_SNAKE_CASE			:int=5_1_2     ,						SCREAMING_SNAKE_CASE			:Optional[Any]=2     ,						SCREAMING_SNAKE_CASE			:Union[str, Any]=0.02     ,						SCREAMING_SNAKE_CASE			:Optional[Any]=1e-12     ,						SCREAMING_SNAKE_CASE			:Any=True     ,						SCREAMING_SNAKE_CASE			:List[Any]=0     ,						SCREAMING_SNAKE_CASE			:Optional[int]="absolute"     ,						SCREAMING_SNAKE_CASE			:Union[str, Any]=None     ,						SCREAMING_SNAKE_CASE			:List[Any]=True     ,						SCREAMING_SNAKE_CASE			:int=True     ,						SCREAMING_SNAKE_CASE			:Optional[int]=7_6_8     ,						SCREAMING_SNAKE_CASE			:Optional[Any]=9_1_0     ,						SCREAMING_SNAKE_CASE			:Union[str, Any]=5_1_2     ,						SCREAMING_SNAKE_CASE			:str=2_4_8_5_8     ,						SCREAMING_SNAKE_CASE			:List[Any]=True     ,						**SCREAMING_SNAKE_CASE			:Tuple     ,						)       ->					Optional[int]:




             '''simple docstring'''
             _a    : List[str]     					=vocab_size
             _a    : List[str]     					=max_position_embeddings
             _a    : Optional[Any]     					=hidden_size
             _a    : List[Any]     					=num_hidden_layers
             _a    : List[str]     					=num_attention_heads
             _a    : int     					=intermediate_size
             _a    : Any     					=hidden_act
             _a    : Dict     					=hidden_dropout_prob
             _a    : int     					=attention_probs_dropout_prob
             _a    : str     					=initializer_range
             _a    : Optional[int]     					=type_vocab_size
             _a    : Any     					=layer_norm_eps
             _a    : Any     					=use_cache
             _a    : Optional[int]     					=enable_pronunciation
             _a    : Optional[Any]     					=enable_shape
             _a    : Optional[Any]     					=pronunciation_embed_dim
             _a    : Tuple     					=pronunciation_vocab_size
             _a    : Union[str, Any]     					=shape_embed_dim
             _a    : Any     					=shape_vocab_size
             _a    : Tuple     					=concat_input
             _a    : List[str]     					=position_embedding_type
             _a    : List[str]     					=classifier_dropout
             super().__init__(pad_token_id=SCREAMING_SNAKE_CASE     ,						**SCREAMING_SNAKE_CASE	)


