

import collections
import os
import re
from pathlib import Path


UpperCAmelCase__ :     Union[str, Any]				    =    """src/transformers"""


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






def 					__lowercase      (     _A			)     ->						Optional[int]:
      if _re_test_backend.search(_A			) is None:
            return None
      SCREAMING_SNAKE_CASE :      Union[str, Any]       =   [b[0] for b in _re_backend.findall(_A			)]
      backends.sort()
      return "_and_".join(_A			)






def 					__lowercase      (     _A			)     ->						Any:
      with open(_A						,    """r"""						,    encoding="""utf-8"""						,    newline="""\n"""			) as f:
            SCREAMING_SNAKE_CASE :      Dict       =   f.readlines()

      SCREAMING_SNAKE_CASE :      Any       =   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
      SCREAMING_SNAKE_CASE :      List[Any]       =   []
      while not lines[line_index].startswith("""if TYPE_CHECKING"""			) and find_backend(lines[line_index]			) is None:
            SCREAMING_SNAKE_CASE :      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			):
                  SCREAMING_SNAKE_CASE :      Optional[Any]       =   _re_one_line_import_struct.search(_A			).groups()[0]
                  SCREAMING_SNAKE_CASE :      Union[str, Any]       =   re.findall(R"""\[([^\]]+)\]"""						,    _A			)
                  for imp in imports:
                        objects.extend([obj[1:-1] for obj in imp.split(""", """			)]			)
                  line_index += 1
                  continue
            SCREAMING_SNAKE_CASE :      Tuple       =   _re_import_struct_key_value.search(_A			)
            if single_line_import_search is not None:
                  SCREAMING_SNAKE_CASE :      List[Any]       =   [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

      SCREAMING_SNAKE_CASE :      Optional[Any]       =   {"""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.
            SCREAMING_SNAKE_CASE :      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:
                  SCREAMING_SNAKE_CASE :      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

                  SCREAMING_SNAKE_CASE :      Dict       =   []
                  # Until we unindent, add backend objects to the list
                  while len(lines[line_index]			) <= 1 or lines[line_index].startswith(""" """ * 4			):
                        SCREAMING_SNAKE_CASE :      Any       =   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:
                              SCREAMING_SNAKE_CASE :      List[str]       =   _re_import_struct_add_many.search(_A			).groups()[0].split(""", """			)
                              SCREAMING_SNAKE_CASE :      List[Any]       =   [obj[1:-1] for obj in imports if len(_A			) > 0]
                              objects.extend(_A			)
                        elif _re_between_brackets.search(_A			) is not None:
                              SCREAMING_SNAKE_CASE :      Any       =   _re_between_brackets.search(_A			).groups()[0].split(""", """			)
                              SCREAMING_SNAKE_CASE :      Optional[int]       =   [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

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

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

      SCREAMING_SNAKE_CASE :      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.
            SCREAMING_SNAKE_CASE :      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:
                  SCREAMING_SNAKE_CASE :      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

                  SCREAMING_SNAKE_CASE :      Union[str, Any]       =   []
                  # Until we unindent, add backend objects to the list
                  while len(lines[line_index]			) <= 1 or lines[line_index].startswith(""" """ * 8			):
                        SCREAMING_SNAKE_CASE :      int       =   lines[line_index]
                        SCREAMING_SNAKE_CASE :      Tuple       =   _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

                  SCREAMING_SNAKE_CASE :      Tuple       =   objects
            else:
                  line_index += 1

      return import_dict_objects, type_hint_objects






def 					__lowercase      (     _A						,    _A			)     ->						Dict:

      def find_duplicates(_A			):
            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!"]

      SCREAMING_SNAKE_CASE :      int       =   []
      for key in import_dict_objects.keys():
            SCREAMING_SNAKE_CASE :      Optional[Any]       =   find_duplicates(import_dict_objects[key]			)
            if duplicate_imports:
                  errors.append(F"Duplicate _import_structure definitions for: {duplicate_imports}"			)
            SCREAMING_SNAKE_CASE :      List[str]       =   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]			)			):
                  SCREAMING_SNAKE_CASE :      str       =   """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 					__lowercase      (     )     ->						Optional[int]:
      SCREAMING_SNAKE_CASE :      Optional[Any]       =   []
      for root, _, files in os.walk(_A			):
            if "__init__.py" in files:
                  SCREAMING_SNAKE_CASE :      int       =   os.path.join(_A						,    """__init__.py"""			)
                  SCREAMING_SNAKE_CASE :      Optional[int]       =   parse_init(_A			)
                  if objects is not None:
                        SCREAMING_SNAKE_CASE :      Tuple       =   analyze_results(*_A			)
                        if len(_A			) > 0:
                              SCREAMING_SNAKE_CASE :      Dict       =   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 					__lowercase      (     )     ->						str:
      SCREAMING_SNAKE_CASE :      str       =   []
      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
                  SCREAMING_SNAKE_CASE :      Optional[int]       =   str((Path(_A			) / folder).relative_to(_A			)			)
                  SCREAMING_SNAKE_CASE :      List[str]       =   short_path.replace(os.path.sep						,    """."""			)
                  submodules.append(_A			)
            for fname in files:
                  if fname == "__init__.py":
                        continue
                  SCREAMING_SNAKE_CASE :      Any       =   str((Path(_A			) / fname).relative_to(_A			)			)
                  SCREAMING_SNAKE_CASE :      List[str]       =   short_path.replace(""".py"""						,    """"""			).replace(os.path.sep						,    """."""			)
                  if len(submodule.split("""."""			)			) == 1:
                        submodules.append(_A			)
      return submodules


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






def 					__lowercase      (     )     ->						int:
      # This is to make sure the transformers module imported is the one in the repo.
      from transformers.utils import direct_transformers_import

      SCREAMING_SNAKE_CASE :      Any       =   direct_transformers_import(_A			)

      SCREAMING_SNAKE_CASE :      Union[str, 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(_A						,    """__init__.py"""			)						,    """r"""			) as f:
            SCREAMING_SNAKE_CASE :      int       =   f.read()
      import_structure_keys.update(set(re.findall(R"""import_structure\[\"([^\"]*)\"\]"""						,    _A			)			)			)

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

      if len(_A			) > 0:
            SCREAMING_SNAKE_CASE :      Tuple       =   """\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()







import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoFeatureExtractor, WavaVecaFeatureExtractor
from transformers.testing_utils import TOKEN, USER, get_tests_dir, is_staging_test


sys.path.append(str(Path(__file__).parent.parent / """utils"""))

from test_module.custom_feature_extraction import CustomFeatureExtractor  # noqa E402


UpperCAmelCase__ :     int				    =    get_tests_dir("""fixtures""")







class        a__       (   unittest.TestCase       ):







  """simple docstring"""




  def  _lowercase      (			self    : Dict		)					->Any:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      Dict       =   mock.Mock()
        SCREAMING_SNAKE_CASE :      Optional[int]       =   5_0_0
        SCREAMING_SNAKE_CASE :      List[str]       =   {}
        SCREAMING_SNAKE_CASE :      List[Any]       =   HTTPError
        SCREAMING_SNAKE_CASE :      int       =   {}

        # Download this model to make sure it's in the cache.
        SCREAMING_SNAKE_CASE :      List[Any]       =   WavaVecaFeatureExtractor.from_pretrained("""hf-internal-testing/tiny-random-wav2vec2"""		)
        # Under the mock environment we get a 500 error when trying to reach the model.
        with mock.patch("""requests.Session.request"""				,				return_value=UpperCAmelCase__		) as mock_head:
              SCREAMING_SNAKE_CASE :      Optional[int]       =   WavaVecaFeatureExtractor.from_pretrained("""hf-internal-testing/tiny-random-wav2vec2"""		)
              # This check we did call the fake head request
              mock_head.assert_called()




  def  _lowercase      (			self    : Optional[Any]		)					->int:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      str       =   WavaVecaFeatureExtractor.from_pretrained(
            """https://huggingface.co/hf-internal-testing/tiny-random-wav2vec2/resolve/main/preprocessor_config.json"""		)







@is_staging_test
class        a__       (   unittest.TestCase       ):







  """simple docstring"""




  @classmethod
  def  _lowercase      (			cls    : List[str]		)					->Dict:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      int       =   TOKEN
        HfFolder.save_token(UpperCAmelCase__		)


  @classmethod
  def  _lowercase      (			cls    : List[str]		)					->Optional[int]:
        """simple docstring"""







        try:
              delete_repo(token=cls._token				,				repo_id="""test-feature-extractor"""		)
        except HTTPError:
              pass

        try:
              delete_repo(token=cls._token				,				repo_id="""valid_org/test-feature-extractor-org"""		)
        except HTTPError:
              pass

        try:
              delete_repo(token=cls._token				,				repo_id="""test-dynamic-feature-extractor"""		)
        except HTTPError:
              pass


  def  _lowercase      (			self    : int		)					->Optional[int]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      int       =   WavaVecaFeatureExtractor.from_pretrained(UpperCAmelCase__		)
        feature_extractor.push_to_hub("""test-feature-extractor"""				,				use_auth_token=self._token		)

        SCREAMING_SNAKE_CASE :      Any       =   WavaVecaFeatureExtractor.from_pretrained(f"{USER}/test-feature-extractor"		)
        for k, v in feature_extractor.__dict__.items():
              self.assertEqual(UpperCAmelCase__				,				getattr(UpperCAmelCase__				,				UpperCAmelCase__		)		)

        # Reset repo
        delete_repo(token=self._token				,				repo_id="""test-feature-extractor"""		)

        # Push to hub via save_pretrained
        with tempfile.TemporaryDirectory() as tmp_dir:
              feature_extractor.save_pretrained(
                  UpperCAmelCase__				,				repo_id="""test-feature-extractor"""				,				push_to_hub=UpperCAmelCase__				,				use_auth_token=self._token		)

        SCREAMING_SNAKE_CASE :      List[str]       =   WavaVecaFeatureExtractor.from_pretrained(f"{USER}/test-feature-extractor"		)
        for k, v in feature_extractor.__dict__.items():
              self.assertEqual(UpperCAmelCase__				,				getattr(UpperCAmelCase__				,				UpperCAmelCase__		)		)


  def  _lowercase      (			self    : List[Any]		)					->List[Any]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      List[str]       =   WavaVecaFeatureExtractor.from_pretrained(UpperCAmelCase__		)
        feature_extractor.push_to_hub("""valid_org/test-feature-extractor"""				,				use_auth_token=self._token		)

        SCREAMING_SNAKE_CASE :      Optional[Any]       =   WavaVecaFeatureExtractor.from_pretrained("""valid_org/test-feature-extractor"""		)
        for k, v in feature_extractor.__dict__.items():
              self.assertEqual(UpperCAmelCase__				,				getattr(UpperCAmelCase__				,				UpperCAmelCase__		)		)

        # Reset repo
        delete_repo(token=self._token				,				repo_id="""valid_org/test-feature-extractor"""		)

        # Push to hub via save_pretrained
        with tempfile.TemporaryDirectory() as tmp_dir:
              feature_extractor.save_pretrained(
                  UpperCAmelCase__				,				repo_id="""valid_org/test-feature-extractor-org"""				,				push_to_hub=UpperCAmelCase__				,				use_auth_token=self._token		)

        SCREAMING_SNAKE_CASE :      List[Any]       =   WavaVecaFeatureExtractor.from_pretrained("""valid_org/test-feature-extractor-org"""		)
        for k, v in feature_extractor.__dict__.items():
              self.assertEqual(UpperCAmelCase__				,				getattr(UpperCAmelCase__				,				UpperCAmelCase__		)		)




  def  _lowercase      (			self    : Optional[Any]		)					->Optional[int]:
        """simple docstring"""







        CustomFeatureExtractor.register_for_auto_class()
        SCREAMING_SNAKE_CASE :      Any       =   CustomFeatureExtractor.from_pretrained(UpperCAmelCase__		)

        feature_extractor.push_to_hub("""test-dynamic-feature-extractor"""				,				use_auth_token=self._token		)

        # This has added the proper auto_map field to the config
        self.assertDictEqual(
            feature_extractor.auto_map				,				{"""AutoFeatureExtractor""": """custom_feature_extraction.CustomFeatureExtractor"""}				,				)

        SCREAMING_SNAKE_CASE :      Any       =   AutoFeatureExtractor.from_pretrained(
            f"{USER}/test-dynamic-feature-extractor"				,				trust_remote_code=UpperCAmelCase__		)
        # Can't make an isinstance check because the new_feature_extractor is from the CustomFeatureExtractor class of a dynamic module
        self.assertEqual(new_feature_extractor.__class__.__name__				,				"""CustomFeatureExtractor"""		)




