


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 			_a (      SCREAMING_SNAKE_CASE     ):


		"""simple docstring"""




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


		"""simple docstring"""




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

		lowercase__            =      0
		while line_index < len(SCREAMING_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(SCREAMING_SNAKE_CASE     ):
				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(SCREAMING_SNAKE_CASE     ):
						lowercase__            =      _re_one_line_import_struct.search(SCREAMING_SNAKE_CASE     ).groups()[0]
						lowercase__            =      re.findall('''\[([^\]]+)\]'''						,				SCREAMING_SNAKE_CASE     )
						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(SCREAMING_SNAKE_CASE     )
				if single_line_import_search is not None:
						lowercase__            =      [obj[1:-1] for obj in single_line_import_search.groups()[0].split(''', '''     ) if len(SCREAMING_SNAKE_CASE     ) > 0]
						objects.extend(SCREAMING_SNAKE_CASE     )
				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(SCREAMING_SNAKE_CASE     ) is not None:
										objects.append(_re_import_struct_add_one.search(SCREAMING_SNAKE_CASE     ).groups()[0]     )
								elif _re_import_struct_add_many.search(SCREAMING_SNAKE_CASE     ) is not None:
										lowercase__            =      _re_import_struct_add_many.search(SCREAMING_SNAKE_CASE     ).groups()[0].split(''', '''     )
										lowercase__            =      [obj[1:-1] for obj in imports if len(SCREAMING_SNAKE_CASE     ) > 0]
										objects.extend(SCREAMING_SNAKE_CASE     )
								elif _re_between_brackets.search(SCREAMING_SNAKE_CASE     ) is not None:
										lowercase__            =      _re_between_brackets.search(SCREAMING_SNAKE_CASE     ).groups()[0].split(''', '''     )
										lowercase__            =      [obj[1:-1] for obj in imports if len(SCREAMING_SNAKE_CASE     ) > 0]
										objects.extend(SCREAMING_SNAKE_CASE     )
								elif _re_quote_object.search(SCREAMING_SNAKE_CASE     ) is not None:
										objects.append(_re_quote_object.search(SCREAMING_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

						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(SCREAMING_SNAKE_CASE     )
		    and find_backend(lines[line_index]     ) is None
		    and not lines[line_index].startswith('''else'''     )
		):
				lowercase__            =      lines[line_index]
				lowercase__            =      _re_import.search(SCREAMING_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

		lowercase__            =      {'''none''': objects}
		# Let's continue with backend-specific objects
		while line_index < len(SCREAMING_SNAKE_CASE     ):
				# 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(SCREAMING_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

						lowercase__            =      objects
				else:
						line_index += 1

		return import_dict_objects, type_hint_objects
def 			_a (      SCREAMING_SNAKE_CASE						,				SCREAMING_SNAKE_CASE     ):


		"""simple docstring"""




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

		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 (      ):


		"""simple docstring"""




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


		"""simple docstring"""




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


lowerCAmelCase       =							[
    'convert_pytorch_checkpoint_to_tf2',
    'modeling_flax_pytorch_utils',
]
def 			_a (      ):


		"""simple docstring"""




		lowercase__            =      importlib.util.spec_from_file_location(
		    '''transformers'''						,				os.path.join(SCREAMING_SNAKE_CASE						,				'''__init__.py'''     )						,				submodule_search_locations=[PATH_TO_TRANSFORMERS]						,				)
		lowercase__            =      spec.loader.load_module()

		lowercase__            =      [
		    module
		    for module in get_transformers_submodules()
		    if module not in IGNORE_SUBMODULES and module not in transformers._import_structure.keys()
		]
		if len(SCREAMING_SNAKE_CASE     ) > 0:
				lowercase__            =      '''\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()






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowerCAmelCase       =							{
    'configuration_tapas': ['TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TapasConfig'],
    'tokenization_tapas': ['TapasTokenizer'],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase       =							[
			    'TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'TapasForMaskedLM',
			    'TapasForQuestionAnswering',
			    'TapasForSequenceClassification',
			    'TapasModel',
			    'TapasPreTrainedModel',
			    'load_tf_weights_in_tapas',
			]
try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase       =							[
			    'TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'TFTapasForMaskedLM',
			    'TFTapasForQuestionAnswering',
			    'TFTapasForSequenceClassification',
			    'TFTapasModel',
			    'TFTapasPreTrainedModel',
			]


if TYPE_CHECKING:
			from .configuration_tapas import TAPAS_PRETRAINED_CONFIG_ARCHIVE_MAP, TapasConfig
			from .tokenization_tapas import TapasTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tapas import (
						    TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
						    TapasForMaskedLM,
						    TapasForQuestionAnswering,
						    TapasForSequenceClassification,
						    TapasModel,
						    TapasPreTrainedModel,
						    load_tf_weights_in_tapas,
						)

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_tapas import (
						    TF_TAPAS_PRETRAINED_MODEL_ARCHIVE_LIST,
						    TFTapasForMaskedLM,
						    TFTapasForQuestionAnswering,
						    TFTapasForSequenceClassification,
						    TFTapasModel,
						    TFTapasPreTrainedModel,
						)


else:
			import sys

			lowerCAmelCase       =							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


