



import collections
import os
import re
from pathlib import Path


snake_case    :						List[Any]  =						"src/transformers"


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







						"""simple docstring"""

						if _re_test_backend.search(_UpperCamelCase       ) is None:
												return None
						A__	:							List[Any]						    = [b[0] for b in _re_backend.findall(_UpperCamelCase       )]
						backends.sort()
						return "_and_".join(_UpperCamelCase       )
def 	snake_case__       (					__lowercase       )		->		Dict:







						"""simple docstring"""

						with open(_UpperCamelCase							,     "r"							,     encoding="utf-8"							,     newline="\n"       ) as f:
												A__	:							List[Any]						    = f.readlines()

						A__	:							List[str]						    = 0
						while line_index < len(_UpperCamelCase       ) and not lines[line_index].startswith("_import_structure = {"       ):
												line_index += 1

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

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

						A__	:							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.
												A__	:							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:
																		A__	:							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

																		A__	:							List[Any]						    = []
																		# Until we unindent, add backend objects to the list
																		while len(lines[line_index]       ) <= 1 or lines[line_index].startswith(" " * 4       ):
																								A__	:							Optional[int]						    = lines[line_index]
																								if _re_import_struct_add_one.search(_UpperCamelCase       ) is not None:
																														objects.append(_re_import_struct_add_one.search(_UpperCamelCase       ).groups()[0]       )
																								elif _re_import_struct_add_many.search(_UpperCamelCase       ) is not None:
																														A__	:							Dict						    = _re_import_struct_add_many.search(_UpperCamelCase       ).groups()[0].split(", "       )
																														A__	:							List[Any]						    = [obj[1:-1] for obj in imports if len(_UpperCamelCase       ) > 0]
																														objects.extend(_UpperCamelCase       )
																								elif _re_between_brackets.search(_UpperCamelCase       ) is not None:
																														A__	:							Tuple						    = _re_between_brackets.search(_UpperCamelCase       ).groups()[0].split(", "       )
																														A__	:							List[str]						    = [obj[1:-1] for obj in imports if len(_UpperCamelCase       ) > 0]
																														objects.extend(_UpperCamelCase       )
																								elif _re_quote_object.search(_UpperCamelCase       ) is not None:
																														objects.append(_re_quote_object.search(_UpperCamelCase       ).groups()[0]       )
																								elif line.startswith(" " * 8 + "\""       ):
																														objects.append(line[9:-3]       )
																								elif line.startswith(" " * 1_2 + "\""       ):
																														objects.append(line[1_3:-3]       )
																								line_index += 1

																		A__	:							Optional[Any]						    = objects
												else:
																		line_index += 1

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

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

																		A__	:							int						    = []
																		# Until we unindent, add backend objects to the list
																		while len(lines[line_index]       ) <= 1 or lines[line_index].startswith(" " * 8       ):
																								A__	:							List[Any]						    = lines[line_index]
																								A__	:							Union[str, Any]						    = _re_import.search(_UpperCamelCase       )
																								if single_line_import_search is not None:
																														objects.extend(single_line_import_search.groups()[0].split(", "       )       )
																								elif line.startswith(" " * 1_2       ):
																														objects.append(line[1_2:-2]       )
																								line_index += 1

																		A__	:							Optional[int]						    = objects
												else:
																		line_index += 1

						return import_dict_objects, type_hint_objects
def 	snake_case__       (					__lowercase							,     __lowercase       )		->		str:







						"""simple docstring"""

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

						A__	:							Optional[int]						    = []
						for key in import_dict_objects.keys():
												A__	:							Dict						    = find_duplicates(import_dict_objects[key]       )
												if duplicate_imports:
																		errors.append(F'Duplicate _import_structure definitions for: {duplicate_imports}'       )
												A__	:							Tuple						    = 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]       )       ):
																		A__	:							Any						    = "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__       (					)		->		Any:







						"""simple docstring"""

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







						"""simple docstring"""

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


snake_case    :						Union[str, Any]  =						[
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
    "models.esm.openfold_utils",
]
def 	snake_case__       (					)		->		List[Any]:







						"""simple docstring"""

						from transformers.utils import direct_transformers_import

						A__	:							Dict						    = direct_transformers_import(_UpperCamelCase       )

						A__	:							int						    = 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(_UpperCamelCase							,     "__init__.py"       )							,     "r"       ) as f:
												A__	:							Dict						    = f.read()
						import_structure_keys.update(set(re.findall(r"import_structure\[\"([^\"]*)\"\]"							,     _UpperCamelCase       )       )       )

						A__	:							Dict						    = [
						    module
						    for module in get_transformers_submodules()
						    if module not in IGNORE_SUBMODULES and module not in import_structure_keys
						]

						if len(_UpperCamelCase       ) > 0:
												A__	:							Any						    = "\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()





from collections import OrderedDict
from typing import Mapping

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


snake_case    :						Optional[int]  =						logging.get_logger(__name__)

snake_case    :						Union[str, Any]  =						{
    'facebook/data2vec-text-base': 'https://huggingface.co/data2vec/resolve/main/config.json',
}




class 							lowerCAmelCase__  (	UpperCamelCase						):
					__A     :    Optional[Any]           =						'data2vec-text'







					def __init__(       self      :     Optional[Any]			,		_A      :     List[str]=3_0522			,		_A      :     Optional[int]=768			,		_A      :     Union[str, Any]=12			,		_A      :     str=12			,		_A      :     Optional[int]=3072			,		_A      :     Dict="gelu"			,		_A      :     List[str]=0.1			,		_A      :     Any=0.1			,		_A      :     str=512			,		_A      :     Any=2			,		_A      :     str=0.02			,		_A      :     List[str]=1e-12			,		_A      :     Optional[int]=1			,		_A      :     Any=0			,		_A      :     Any=2			,		_A      :     List[Any]="absolute"			,		_A      :     Tuple=True			,		_A      :     str=None			,		**_A      :     List[Any]			,		):
											super().__init__(pad_token_id=_A			,		bos_token_id=_A			,		eos_token_id=_A			,		**_A)

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




class 							lowerCAmelCase__  (	UpperCamelCase						):







					@property
					def  _lowercase			(       self      :     Tuple):
											if self.task == "multiple-choice":
																	A__	:							List[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),
											    ])