




import collections
import os
import re
from pathlib import Path


UpperCAmelCase_		:				Optional[Any]									=       "src/transformers"


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




def 		lowerCAmelCase_   (	lowerCamelCase   ):
				if _re_test_backend.search(lowerCamelCase   ) is None:
								return None
				__magic_name__	:	Optional[int]								=[b[0] for b in _re_backend.findall(lowerCamelCase   )]
				backends.sort()
				return "_and_".join(lowerCamelCase   )




def 		lowerCAmelCase_   (	lowerCamelCase   ):
				with open(lowerCamelCase	,     """r"""	,     encoding="""utf-8"""	,     newline="""\n"""   ) as f:
								__magic_name__	:	Tuple								=f.readlines()

				__magic_name__	:	Tuple								=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
				__magic_name__	:	str								=[]
				while not lines[line_index].startswith("""if TYPE_CHECKING"""   ) and find_backend(lines[line_index]   ) is None:
								__magic_name__	:	str								=lines[line_index]
								# If we have everything on a single line, let's deal with it.
								if _re_one_line_import_struct.search(lowerCamelCase   ):
												__magic_name__	:	List[str]								=_re_one_line_import_struct.search(lowerCamelCase   ).groups()[0]
												__magic_name__	:	Optional[Any]								=re.findall(R"""\[([^\]]+)\]"""	,     lowerCamelCase   )
												for imp in imports:
																objects.extend([obj[1:-1] for obj in imp.split(""", """   )]   )
												line_index += 1
												continue
								__magic_name__	:	Optional[int]								=_re_import_struct_key_value.search(lowerCamelCase   )
								if single_line_import_search is not None:
												__magic_name__	:	str								=[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

				__magic_name__	:	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.
								__magic_name__	:	Union[str, 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:
												__magic_name__	:	Tuple								=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

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

												__magic_name__	:	Dict								=objects
								else:
												line_index += 1

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

				__magic_name__	:	Tuple								={"""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.
								__magic_name__	:	Union[str, 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:
												__magic_name__	:	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

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

												__magic_name__	:	Dict								=objects
								else:
												line_index += 1

				return import_dict_objects, type_hint_objects




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):

				def find_duplicates(lowerCamelCase   ):
								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!"]

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


UpperCAmelCase_		:				Dict									=       [
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
    "models.esm.openfold_utils",
]




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

				__magic_name__	:	Tuple								=direct_transformers_import(lowerCamelCase   )

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

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

				if len(lowerCamelCase   ) > 0:
								__magic_name__	:	int								="""\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 json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin




class 		__A      (			UpperCamelCase__					,						unittest.TestCase			):
						UpperCamelCase     						=					BlenderbotSmallTokenizer
						UpperCamelCase     						=					False

						def     A__						(		self   :Dict ):
										'''simple docstring'''

										super().setUp()

										__magic_name__	:	Tuple								=["""__start__""", """adapt""", """act""", """ap@@""", """te""", """__end__""", """__unk__"""]
										__magic_name__	:	Optional[Any]								=dict(zip(__snake_case    , range(len(__snake_case ) ) ) )

										__magic_name__	:	List[Any]								=["""#version: 0.2""", """a p""", """t e</w>""", """ap t</w>""", """a d""", """ad apt</w>""", """a c""", """ac t</w>""", """"""]
										__magic_name__	:	int								={"""unk_token""": """__unk__""", """bos_token""": """__start__""", """eos_token""": """__end__"""}

										__magic_name__	:	Dict								=os.path.join(self.tmpdirname    , VOCAB_FILES_NAMES["""vocab_file"""] )
										__magic_name__	:	int								=os.path.join(self.tmpdirname    , VOCAB_FILES_NAMES["""merges_file"""] )
										with open(self.vocab_file    , """w"""    , encoding="""utf-8""" ) as fp:
														fp.write(json.dumps(__snake_case ) + """\n""" )
										with open(self.merges_file    , """w"""    , encoding="""utf-8""" ) as fp:
														fp.write("""\n""".join(__snake_case ) )

						def     A__						(		self   :Union[str, Any]    , **__snake_case   :Optional[int] ):
										'''simple docstring'''

										kwargs.update(self.special_tokens_map )
										return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname    , **__snake_case )

						def     A__						(		self   :str    , __snake_case   :List[Any] ):
										'''simple docstring'''

										__magic_name__	:	Any								="""adapt act apte"""
										__magic_name__	:	str								="""adapt act apte"""
										return input_text, output_text

						def     A__						(		self   :List[str] ):
										'''simple docstring'''

										__magic_name__	:	Tuple								=BlenderbotSmallTokenizer(self.vocab_file    , self.merges_file    , **self.special_tokens_map )
										__magic_name__	:	List[str]								="""adapt act apte"""
										__magic_name__	:	Optional[int]								=["""adapt""", """act""", """ap@@""", """te"""]
										__magic_name__	:	List[Any]								=tokenizer.tokenize(__snake_case )
										self.assertListEqual(__snake_case    , __snake_case )

										__magic_name__	:	int								=[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

										__magic_name__	:	Any								=[0, 1, 2, 3, 4, 5]
										self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case )    , __snake_case )

						def     A__						(		self   :Optional[int] ):
										'''simple docstring'''

										__magic_name__	:	Any								=BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M""" )
										assert tok("""sam""" ).input_ids == [13_84]
										__magic_name__	:	Tuple								="""I am a small frog."""
										__magic_name__	:	Tuple								=tok([src_text]    , padding=__snake_case    , truncation=__snake_case )["""input_ids"""]
										__magic_name__	:	Optional[Any]								=tok.batch_decode(__snake_case    , skip_special_tokens=__snake_case    , clean_up_tokenization_spaces=__snake_case )[0]
										assert src_text != decoded  # I wish it did!
										assert decoded == "i am a small frog ."


						def     A__						(		self   :Optional[Any] ):
										'''simple docstring'''

										__magic_name__	:	List[Any]								=BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M""" )
										__magic_name__	:	int								="""I am a small frog ."""
										__magic_name__	:	List[Any]								="""."""
										__magic_name__	:	List[str]								=tok(__snake_case )["""input_ids"""]
										__magic_name__	:	List[str]								=tok(__snake_case )["""input_ids"""]

										assert encoded[-1] == encoded_dot[0]




