


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


SCREAMING_SNAKE_CASE__					:     Tuple       =     {
    'configuration_electra': ['ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ElectraConfig', 'ElectraOnnxConfig'],
    'tokenization_electra': ['ElectraTokenizer'],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE__					:     Any       =     ['ElectraTokenizerFast']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE__					:     Optional[Any]       =     [
     'ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST',
     'ElectraForCausalLM',
     'ElectraForMaskedLM',
     'ElectraForMultipleChoice',
     'ElectraForPreTraining',
     'ElectraForQuestionAnswering',
     'ElectraForSequenceClassification',
     'ElectraForTokenClassification',
     'ElectraModel',
     'ElectraPreTrainedModel',
     'load_tf_weights_in_electra',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE__					:     List[Any]       =     [
     'TF_ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST',
     'TFElectraForMaskedLM',
     'TFElectraForMultipleChoice',
     'TFElectraForPreTraining',
     'TFElectraForQuestionAnswering',
     'TFElectraForSequenceClassification',
     'TFElectraForTokenClassification',
     'TFElectraModel',
     'TFElectraPreTrainedModel',
 ]

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE__					:     List[Any]       =     [
     'FlaxElectraForCausalLM',
     'FlaxElectraForMaskedLM',
     'FlaxElectraForMultipleChoice',
     'FlaxElectraForPreTraining',
     'FlaxElectraForQuestionAnswering',
     'FlaxElectraForSequenceClassification',
     'FlaxElectraForTokenClassification',
     'FlaxElectraModel',
     'FlaxElectraPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_electra import ELECTRA_PRETRAINED_CONFIG_ARCHIVE_MAP, ElectraConfig, ElectraOnnxConfig
 from .tokenization_electra import ElectraTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_electra_fast import ElectraTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_electra import (
      ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST,
      ElectraForCausalLM,
      ElectraForMaskedLM,
      ElectraForMultipleChoice,
      ElectraForPreTraining,
      ElectraForQuestionAnswering,
      ElectraForSequenceClassification,
      ElectraForTokenClassification,
      ElectraModel,
      ElectraPreTrainedModel,
      load_tf_weights_in_electra,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_electra import (
      TF_ELECTRA_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFElectraForMaskedLM,
      TFElectraForMultipleChoice,
      TFElectraForPreTraining,
      TFElectraForQuestionAnswering,
      TFElectraForSequenceClassification,
      TFElectraForTokenClassification,
      TFElectraModel,
      TFElectraPreTrainedModel,
  )

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_electra import (
      FlaxElectraForCausalLM,
      FlaxElectraForMaskedLM,
      FlaxElectraForMultipleChoice,
      FlaxElectraForPreTraining,
      FlaxElectraForQuestionAnswering,
      FlaxElectraForSequenceClassification,
      FlaxElectraForTokenClassification,
      FlaxElectraModel,
      FlaxElectraPreTrainedModel,
  )

else:
 import sys

 SCREAMING_SNAKE_CASE__					:     List[str]       =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)









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


SCREAMING_SNAKE_CASE__					:     List[Any]       =     'src/transformers'


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




def    a__    (		snake_case__					:							Union[str, Any]     ):
  if _re_test_backend.search(snake_case__     ) is None:
    return None
  _UpperCAmelCase		:							str							=     [b[0] for b in _re_backend.findall(snake_case__     )]
  backends.sort()
  return "_and_".join(snake_case__     )




def    a__    (		snake_case__					:							Optional[int]     ):
  with open(snake_case__						,   """r"""						,   encoding="""utf-8"""						,   newline="""\n"""     ) as f:
    _UpperCAmelCase		:							Optional[Any]							=     f.readlines()

  _UpperCAmelCase		:							int							=     0
  while line_index < len(snake_case__     ) and not lines[line_index].startswith("""_import_structure = {"""     ):
    line_index += 1

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

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

  _UpperCAmelCase		:							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.
    _UpperCAmelCase		:							Tuple							=     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:
      _UpperCAmelCase		:							List[Any]							=     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

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

      _UpperCAmelCase		:							str							=     objects
    else:
      line_index += 1

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

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

      _UpperCAmelCase		:							Dict							=     []
      # Until we unindent, add backend objects to the list
      while len(lines[line_index]     ) <= 1 or lines[line_index].startswith(""" """ * 8     ):
        _UpperCAmelCase		:							Union[str, Any]							=     lines[line_index]
        _UpperCAmelCase		:							Any							=     _re_import.search(snake_case__     )
        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

      _UpperCAmelCase		:							str							=     objects
    else:
      line_index += 1

  return import_dict_objects, type_hint_objects




def    a__    (		snake_case__					:							Any						,   snake_case__					:							Optional[int]     ):

  def find_duplicates(snake_case__					:							Dict     ):
    return [k for k, v in collections.Counter(snake_case__     ).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!"]

  _UpperCAmelCase		:							int							=     []
  for key in import_dict_objects.keys():
    _UpperCAmelCase		:							Any							=     find_duplicates(import_dict_objects[key]     )
    if duplicate_imports:
      errors.append(f'''Duplicate _import_structure definitions for: {duplicate_imports}'''     )
    _UpperCAmelCase		:							Optional[int]							=     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]     )     ):
      _UpperCAmelCase		:							Optional[int]							=     """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    a__    (		):
  _UpperCAmelCase		:							Any							=     []
  for root, _, files in os.walk(snake_case__     ):
    if "__init__.py" in files:
      _UpperCAmelCase		:							Optional[Any]							=     os.path.join(snake_case__						,   """__init__.py"""     )
      _UpperCAmelCase		:							List[str]							=     parse_init(snake_case__     )
      if objects is not None:
        _UpperCAmelCase		:							int							=     analyze_results(*snake_case__     )
        if len(snake_case__     ) > 0:
          _UpperCAmelCase		:							Union[str, Any]							=     f'''Problem in {fname}, both halves do not define the same objects.\n{errors[0]}'''
          failures.append("""\n""".join(snake_case__     )     )
  if len(snake_case__     ) > 0:
    raise ValueError("""\n\n""".join(snake_case__     )     )




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


SCREAMING_SNAKE_CASE__					:     List[Any]       =     [
    'convert_pytorch_checkpoint_to_tf2',
    'modeling_flax_pytorch_utils',
]




def    a__    (		):
  # This is to make sure the transformers module imported is the one in the repo.
  _UpperCAmelCase		:							int							=     importlib.util.spec_from_file_location(
      """transformers"""						,   os.path.join(snake_case__						,   """__init__.py"""     )						,   submodule_search_locations=[PATH_TO_TRANSFORMERS]						,   )
  _UpperCAmelCase		:							Optional[int]							=     spec.loader.load_module()

  _UpperCAmelCase		:							int							=     [
      module
      for module in get_transformers_submodules()
      if module not in IGNORE_SUBMODULES and module not in transformers._import_structure.keys()
  ]
  if len(snake_case__     ) > 0:
    _UpperCAmelCase		:							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()





