from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCAmelCase       =		logging.get_logger(__name__)

_lowerCAmelCase       =		{
    "microsoft/swinv2-tiny-patch4-window8-256": (
        "https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json"
    ),
}
class     lowerCAmelCase_     (       __lowercase ):
							UpperCAmelCase				   =     "swinv2"

							UpperCAmelCase				   =     {
							    "num_attention_heads": "num_heads",
							    "num_hidden_layers": "num_layers",
							}







							def __init__(   self      :     List[str] ,			_A      :     Optional[Any]=224 ,			_A      :     Dict=4 ,			_A      :     Dict=3 ,			_A      :     List[str]=96 ,			_A      :     Any=[2, 2, 6, 2] ,			_A      :     Any=[3, 6, 12, 24] ,			_A      :     List[Any]=7 ,			_A      :     int=4.0 ,			_A      :     Optional[Any]=True ,			_A      :     Dict=0.0 ,			_A      :     Union[str, Any]=0.0 ,			_A      :     Any=0.1 ,			_A      :     Dict="gelu" ,			_A      :     int=False ,			_A      :     Optional[Any]=0.02 ,			_A      :     Union[str, Any]=1e-5 ,			_A      :     str=32 ,			**_A      :     str ,			):
												super().__init__(**_A		)

												_UpperCamelCase			     =     image_size
												_UpperCamelCase			     =     patch_size
												_UpperCamelCase			     =     num_channels
												_UpperCamelCase			     =     embed_dim
												_UpperCamelCase			     =     depths
												_UpperCamelCase			     =     len(_A		)
												_UpperCamelCase			     =     num_heads
												_UpperCamelCase			     =     window_size
												_UpperCamelCase			     =     mlp_ratio
												_UpperCamelCase			     =     qkv_bias
												_UpperCamelCase			     =     hidden_dropout_prob
												_UpperCamelCase			     =     attention_probs_dropout_prob
												_UpperCamelCase			     =     drop_path_rate
												_UpperCamelCase			     =     hidden_act
												_UpperCamelCase			     =     use_absolute_embeddings
												_UpperCamelCase			     =     layer_norm_eps
												_UpperCamelCase			     =     initializer_range
												_UpperCamelCase			     =     encoder_stride
												# we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
												# this indicates the channel dimension after the last stage of the model
												_UpperCamelCase			     =     int(embed_dim * 2 ** (len(_A		) - 1)		)
												_UpperCamelCase			     =     (0, 0, 0, 0)



import collections
import os
import re
from pathlib import Path


A_			:					List[str]    			=     'src/transformers'


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

def 		UpperCamelCase   (lowercase_:					Optional[Any]   )	-> Any:
	if _re_test_backend.search(lowercase_   ) is None:
		return None
	A__				:       Optional[int]	  =						[b[0] for b in _re_backend.findall(lowercase_   )]
	backends.sort()
	return "_and_".join(lowercase_   )

def 		UpperCamelCase   (lowercase_:					Any   )	-> Dict:
	with open(lowercase_       , """r"""       , encoding="""utf-8"""       , newline="""\n"""   ) as f:
		A__				:       Optional[Any]	  =						f.readlines()

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

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

	# First grab the objects without a specific backend in _import_structure
	A__				:       List[Any]	  =						[]
	while not lines[line_index].startswith("""if TYPE_CHECKING"""   ) and find_backend(lines[line_index]   ) is None:
		A__				:       Tuple	  =						lines[line_index]
		# If we have everything on a single line, let's deal with it.
		if _re_one_line_import_struct.search(lowercase_   ):
			A__				:       str	  =						_re_one_line_import_struct.search(lowercase_   ).groups()[0]
			A__				:       Union[str, Any]	  =						re.findall(r"""\[([^\]]+)\]"""       , lowercase_   )
			for imp in imports:
				objects.extend([obj[1:-1] for obj in imp.split(""", """   )]   )
			line_index += 1
			continue
		A__				:       int	  =						_re_import_struct_key_value.search(lowercase_   )
		if single_line_import_search is not None:
			A__				:       int	  =						[obj[1:-1] for obj in single_line_import_search.groups()[0].split(""", """   ) if len(lowercase_   ) > 0]
			objects.extend(lowercase_   )
		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__				:       Optional[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:
			A__				:       List[str]	  =						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__				:       Tuple	  =						[]
			# Until we unindent, add backend objects to the list
			while len(lines[line_index]   ) <= 1 or lines[line_index].startswith(""" """ * 4   ):
				A__				:       Any	  =						lines[line_index]
				if _re_import_struct_add_one.search(lowercase_   ) is not None:
					objects.append(_re_import_struct_add_one.search(lowercase_   ).groups()[0]   )
				elif _re_import_struct_add_many.search(lowercase_   ) is not None:
					A__				:       Any	  =						_re_import_struct_add_many.search(lowercase_   ).groups()[0].split(""", """   )
					A__				:       int	  =						[obj[1:-1] for obj in imports if len(lowercase_   ) > 0]
					objects.extend(lowercase_   )
				elif _re_between_brackets.search(lowercase_   ) is not None:
					A__				:       Any	  =						_re_between_brackets.search(lowercase_   ).groups()[0].split(""", """   )
					A__				:       Any	  =						[obj[1:-1] for obj in imports if len(lowercase_   ) > 0]
					objects.extend(lowercase_   )
				elif _re_quote_object.search(lowercase_   ) is not None:
					objects.append(_re_quote_object.search(lowercase_   ).groups()[0]   )
				elif line.startswith(""" """ * 8 + """\""""   ):
					objects.append(line[9:-3]   )
				elif line.startswith(""" """ * 12 + """\""""   ):
					objects.append(line[13:-3]   )
				line_index += 1

			A__				:       List[str]	  =						objects
		else:
			line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
	A__				:       Any	  =						[]
	while (
	    line_index < len(lowercase_   )
	    and find_backend(lines[line_index]   ) is None
	    and not lines[line_index].startswith("""else"""   )
	):
		A__				:       Dict	  =						lines[line_index]
		A__				:       Any	  =						_re_import.search(lowercase_   )
		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__				:       List[str]	  =						{"""none""": objects}
	# Let's continue with backend-specific objects
	while line_index < len(lowercase_   ):
		# If the line is an if is_backend_available, we grab all objects associated.
		A__				:       Optional[Any]	  =						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__				:       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__				:       List[str]	  =						[]
			# Until we unindent, add backend objects to the list
			while len(lines[line_index]   ) <= 1 or lines[line_index].startswith(""" """ * 8   ):
				A__				:       Union[str, Any]	  =						lines[line_index]
				A__				:       List[str]	  =						_re_import.search(lowercase_   )
				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

			A__				:       Tuple	  =						objects
		else:
			line_index += 1

	return import_dict_objects, type_hint_objects

def 		UpperCamelCase   (lowercase_:					Optional[Any]       , lowercase_:					Union[str, Any]   )	-> List[Any]:

	def find_duplicates(lowercase_:					Tuple   ):
		return [k for k, v in collections.Counter(lowercase_   ).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__				:       str	  =						[]
	for key in import_dict_objects.keys():
		A__				:       Optional[int]	  =						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__				:       Tuple	  =						"""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 		UpperCamelCase   ()	-> str:
	A__				:       str	  =						[]
	for root, _, files in os.walk(lowercase_   ):
		if "__init__.py" in files:
			A__				:       Tuple	  =						os.path.join(lowercase_       , """__init__.py"""   )
			A__				:       Union[str, Any]	  =						parse_init(lowercase_   )
			if objects is not None:
				A__				:       List[Any]	  =						analyze_results(*lowercase_   )
				if len(lowercase_   ) > 0:
					A__				:       int	  =						f"""Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"""
					failures.append("""\n""".join(lowercase_   )   )
	if len(lowercase_   ) > 0:
		raise ValueError("""\n\n""".join(lowercase_   )   )

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


A_			:					str    			=     [
    'convert_pytorch_checkpoint_to_tf2',
    'modeling_flax_pytorch_utils',
    'models.esm.openfold_utils',
]

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

	A__				:       Any	  =						direct_transformers_import(lowercase_   )

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

	A__				:       Union[str, Any]	  =						[
	    module
	    for module in get_transformers_submodules()
	    if module not in IGNORE_SUBMODULES and module not in import_structure_keys
	]

	if len(lowercase_   ) > 0:
		A__				:       Dict	  =						"""\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()



