



"""simple docstring"""






import collections
import importlib.util
import os
import re
from pathlib import Path


lowerCAmelCase__        =				'''src/transformers'''


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






def        snake_case_  (      A_					:		Union[str, Any]						):


       '''simple docstring'''





       if _re_test_backend.search(A_						) is None:
              return None
       _lowerCamelCase						:				List[Any]    			= [b[0] for b in _re_backend.findall(A_						)]
       backends.sort()
       return "_and_".join(A_						)






def        snake_case_  (      A_					:		Union[str, Any]						):


       '''simple docstring'''





       with open(A_,				'''r''',				encoding='''utf-8''',				newline='''\n'''						) as f:
              _lowerCamelCase						:				Any    			= f.readlines()

       _lowerCamelCase						:				Tuple    			= 0
       while line_index < len(A_						) and not lines[line_index].startswith('''_import_structure = {'''						):
              line_index += 1

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

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

       _lowerCamelCase						:				Dict    			= {'''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.
              _lowerCamelCase						:				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:
                     _lowerCamelCase						:				Optional[int]    			= 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

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

                     _lowerCamelCase						:				List[str]    			= objects
              else:
                     line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
       _lowerCamelCase						:				Dict    			= []
       while (
           line_index < len(A_						)
           and find_backend(lines[line_index]						) is None
           and not lines[line_index].startswith('''else'''						)
       ):
              _lowerCamelCase						:				int    			= lines[line_index]
              _lowerCamelCase						:				Dict    			= _re_import.search(A_						)
              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

       _lowerCamelCase						:				Any    			= {'''none''': objects}
       # Let's continue with backend-specific objects
       while line_index < len(A_						):
              # If the line is an if is_backend_available, we grab all objects associated.
              _lowerCamelCase						:				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:
                     _lowerCamelCase						:				str    			= 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

                     _lowerCamelCase						:				Optional[int]    			= []
                     # Until we unindent, add backend objects to the list
                     while len(lines[line_index]						) <= 1 or lines[line_index].startswith(''' ''' * 8						):
                            _lowerCamelCase						:				Optional[Any]    			= lines[line_index]
                            _lowerCamelCase						:				Optional[int]    			= _re_import.search(A_						)
                            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

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

       return import_dict_objects, type_hint_objects






def        snake_case_  (      A_					:		Tuple,				A_					:		List[str]						):


       '''simple docstring'''





       def find_duplicates(A_					:		List[str]						):
              return [k for k, v in collections.Counter(A_						).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!"]

       _lowerCamelCase						:				Tuple    			= []
       for key in import_dict_objects.keys():
              _lowerCamelCase						:				Optional[Any]    			= find_duplicates(import_dict_objects[key]						)
              if duplicate_imports:
                     errors.append(F'''Duplicate _import_structure definitions for: {duplicate_imports}'''						)
              _lowerCamelCase						:				Optional[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]						)						):
                     _lowerCamelCase						:				Dict    			= '''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        snake_case_  (      ):


       '''simple docstring'''





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






def        snake_case_  (      ):


       '''simple docstring'''





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


lowerCAmelCase__        =				[
    '''convert_pytorch_checkpoint_to_tf2''',
    '''modeling_flax_pytorch_utils''',
]






def        snake_case_  (      ):


       '''simple docstring'''





       _lowerCamelCase						:				Any    			= importlib.util.spec_from_file_location(
           '''transformers''',				os.path.join(A_,				'''__init__.py'''						),				submodule_search_locations=[PATH_TO_TRANSFORMERS],				)
       _lowerCamelCase						:				Any    			= spec.loader.load_module()

       _lowerCamelCase						:				Any    			= [
           module
           for module in get_transformers_submodules()
           if module not in IGNORE_SUBMODULES and module not in transformers._import_structure.keys()
       ]
       if len(A_						) > 0:
              _lowerCamelCase						:				Dict    			= '''\n'''.join(F'''- {module}''' for module in module_not_registered						)
              raise ValueError(
                  '''The following submodules are not properly registered 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 collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase__    :      List[str]						=    logging.get_logger(__name__)

lowercase__    :      Dict						=    {
    '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/config.json''',
    '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/config.json''',
    '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/config.json''',
    '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/config.json''',
    '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json''',
    '''roberta-large-openai-detector''': '''https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json''',
}


class  SCREAMING_SNAKE_CASE    (a__							):
     lowerCAmelCase					=       '''roberta'''


     def __init__(						self						,	_UpperCAmelCase=5_0265						,	_UpperCAmelCase=768						,	_UpperCAmelCase=12						,	_UpperCAmelCase=12						,	_UpperCAmelCase=3072						,	_UpperCAmelCase="gelu"						,	_UpperCAmelCase=0.1						,	_UpperCAmelCase=0.1						,	_UpperCAmelCase=512						,	_UpperCAmelCase=2						,	_UpperCAmelCase=0.02						,	_UpperCAmelCase=1e-1_2						,	_UpperCAmelCase=1						,	_UpperCAmelCase=0						,	_UpperCAmelCase=2						,	_UpperCAmelCase="absolute"						,	_UpperCAmelCase=True						,	_UpperCAmelCase=None						,	**_UpperCAmelCase						,	):

          '''simple docstring'''






          super().__init__(pad_token_id=_UpperCAmelCase						,	bos_token_id=_UpperCAmelCase						,	eos_token_id=_UpperCAmelCase						,	**_UpperCAmelCase)

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




class  SCREAMING_SNAKE_CASE    (a__							):


     @property
     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          if self.task == "multiple-choice":
               __A						: str      =       {0: 'batch', 1: 'choice', 2: 'sequence'}
          else:
               __A						: List[str]      =       {0: 'batch', 1: 'sequence'}
          return OrderedDict(
              [
                  ('input_ids', dynamic_axis),
                  ('attention_mask', dynamic_axis),
              ])