'''simple docstring'''

import collections
import os
import re
from pathlib import Path


lowerCAmelCase_ : Optional[int]						  =      "src/transformers"


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


def __a (	__lowerCamelCase			:						List[Any]				)	->							int:
      '''simple docstring'''


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


def __a (	__lowerCamelCase			:						Union[str, Any]				)	->							List[Any]:
      '''simple docstring'''


      with open(__lowerCamelCase ,		"r" ,		encoding="utf-8" ,		newline="\n"				) as f:
            lowercase_     =      f.readlines()

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

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

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

      lowercase_     =      {"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.
            lowercase_     =      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:
                  lowercase_     =      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

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

                  lowercase_     =      objects
            else:
                  line_index += 1

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

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

                  lowercase_     =      []
                  # Until we unindent, add backend objects to the list
                  while len(lines[line_index]				) <= 1 or lines[line_index].startswith(" " * 8				):
                        lowercase_     =      lines[line_index]
                        lowercase_     =      _re_import.search(__lowerCamelCase				)
                        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

                  lowercase_     =      objects
            else:
                  line_index += 1

      return import_dict_objects, type_hint_objects


def __a (	__lowerCamelCase			:						Dict ,		__lowerCamelCase			:						Optional[int]				)	->							List[Any]:
      '''simple docstring'''


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

      lowercase_     =      []
      for key in import_dict_objects.keys():
            lowercase_     =      find_duplicates(import_dict_objects[key]				)
            if duplicate_imports:
                  errors.append(f'Duplicate _import_structure definitions for: {duplicate_imports}'				)
            lowercase_     =      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]				)				):
                  lowercase_     =      "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 (	)	->							Tuple:
      '''simple docstring'''


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


def __a (	)	->							Optional[Any]:
      '''simple docstring'''


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


lowerCAmelCase_ : Optional[int]						  =      [
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
    "models.esm.openfold_utils",
]


def __a (	)	->							Tuple:
      '''simple docstring'''


      from transformers.utils import direct_transformers_import

      lowercase_     =      direct_transformers_import(__lowerCamelCase				)

      lowercase_     =      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(__lowerCamelCase ,		"__init__.py"				) ,		"r"				) as f:
            lowercase_     =      f.read()
      import_structure_keys.update(set(re.findall(R"import_structure\[\"([^\"]*)\"\]" ,		__lowerCamelCase				)				)				)

      lowercase_     =      [
          module
          for module in get_transformers_submodules()
          if module not in IGNORE_SUBMODULES and module not in import_structure_keys
      ]

      if len(__lowerCamelCase				) > 0:
            lowercase_     =      "\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 typing import TYPE_CHECKING

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


lowerCAmelCase_ : str						  =      {
    "configuration_wav2vec2": ["WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Wav2Vec2Config"],
    "feature_extraction_wav2vec2": ["Wav2Vec2FeatureExtractor"],
    "processing_wav2vec2": ["Wav2Vec2Processor"],
    "tokenization_wav2vec2": ["Wav2Vec2CTCTokenizer", "Wav2Vec2Tokenizer"],
}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCAmelCase_ : Union[str, Any]						  =      [
           "WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
           "Wav2Vec2ForAudioFrameClassification",
           "Wav2Vec2ForCTC",
           "Wav2Vec2ForMaskedLM",
           "Wav2Vec2ForPreTraining",
           "Wav2Vec2ForSequenceClassification",
           "Wav2Vec2ForXVector",
           "Wav2Vec2Model",
           "Wav2Vec2PreTrainedModel",
       ]

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCAmelCase_ : int						  =      [
           "TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
           "TFWav2Vec2ForCTC",
           "TFWav2Vec2Model",
           "TFWav2Vec2PreTrainedModel",
           "TFWav2Vec2ForSequenceClassification",
       ]

try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCAmelCase_ : Dict						  =      [
           "FlaxWav2Vec2ForCTC",
           "FlaxWav2Vec2ForPreTraining",
           "FlaxWav2Vec2Model",
           "FlaxWav2Vec2PreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_wavaveca import WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP, WavaVecaConfig
       from .feature_extraction_wavaveca import WavaVecaFeatureExtractor
       from .processing_wavaveca import WavaVecaProcessor
       from .tokenization_wavaveca import WavaVecaCTCTokenizer, WavaVecaTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_wavaveca import (
                  WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
                  WavaVecaForAudioFrameClassification,
                  WavaVecaForCTC,
                  WavaVecaForMaskedLM,
                  WavaVecaForPreTraining,
                  WavaVecaForSequenceClassification,
                  WavaVecaForXVector,
                  WavaVecaModel,
                  WavaVecaPreTrainedModel,
              )

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_wavaveca import (
                  TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TFWavaVecaForCTC,
                  TFWavaVecaForSequenceClassification,
                  TFWavaVecaModel,
                  TFWavaVecaPreTrainedModel,
              )

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_wavaveca import (
                  FlaxWavaVecaForCTC,
                  FlaxWavaVecaForPreTraining,
                  FlaxWavaVecaModel,
                  FlaxWavaVecaPreTrainedModel,
              )


else:
       import sys

       lowerCAmelCase_ : Optional[int]						  =      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






