





'''simple docstring'''






import collections
import importlib.util
import os
import re
from pathlib import Path


__lowerCamelCase						: Optional[int]		=   'src/transformers'


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


def 					_a   (__SCREAMING_SNAKE_CASE   ):


		"""simple docstring"""

		if _re_test_backend.search(__SCREAMING_SNAKE_CASE   ) is None:
				return None
		_UpperCamelCase       			=[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:
				_UpperCamelCase       			=f.readlines()

		_UpperCamelCase       			=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
		_UpperCamelCase       			=[]
		while not lines[line_index].startswith('''if TYPE_CHECKING'''   ) and find_backend(lines[line_index]   ) is None:
				_UpperCamelCase       			=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   ):
						_UpperCamelCase       			=_re_one_line_import_struct.search(__SCREAMING_SNAKE_CASE   ).groups()[0]
						_UpperCamelCase       			=re.findall('''\[([^\]]+)\]'''  ,      __SCREAMING_SNAKE_CASE   )
						for imp in imports:
								objects.extend([obj[1:-1] for obj in imp.split(''', '''   )]   )
						line_index += 1
						continue
				_UpperCamelCase       			=_re_import_struct_key_value.search(__SCREAMING_SNAKE_CASE   )
				if single_line_import_search is not None:
						_UpperCamelCase       			=[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

		_UpperCamelCase       			={'''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.
				_UpperCamelCase       			=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:
						_UpperCamelCase       			=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

						_UpperCamelCase       			=[]
						# Until we unindent, add backend objects to the list
						while len(lines[line_index]   ) <= 1 or lines[line_index].startswith(''' ''' * 4   ):
								_UpperCamelCase       			=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:
										_UpperCamelCase       			=_re_import_struct_add_many.search(__SCREAMING_SNAKE_CASE   ).groups()[0].split(''', '''   )
										_UpperCamelCase       			=[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:
										_UpperCamelCase       			=_re_between_brackets.search(__SCREAMING_SNAKE_CASE   ).groups()[0].split(''', '''   )
										_UpperCamelCase       			=[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

						_UpperCamelCase       			=objects
				else:
						line_index += 1

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

		_UpperCamelCase       			={'''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.
				_UpperCamelCase       			=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:
						_UpperCamelCase       			=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

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

						_UpperCamelCase       			=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!"]

		_UpperCamelCase       			=[]
		for key in import_dict_objects.keys():
				_UpperCamelCase       			=find_duplicates(import_dict_objects[key]   )
				if duplicate_imports:
						errors.append(f'''Duplicate _import_structure definitions for: {duplicate_imports}'''   )
				_UpperCamelCase       			=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]   )   ):
						_UpperCamelCase       			='''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"""

		_UpperCamelCase       			=[]
		for root, _, files in os.walk(__SCREAMING_SNAKE_CASE   ):
				if "__init__.py" in files:
						_UpperCamelCase       			=os.path.join(__SCREAMING_SNAKE_CASE  ,      '''__init__.py'''   )
						_UpperCamelCase       			=parse_init(__SCREAMING_SNAKE_CASE   )
						if objects is not None:
								_UpperCamelCase       			=analyze_results(*__SCREAMING_SNAKE_CASE   )
								if len(__SCREAMING_SNAKE_CASE   ) > 0:
										_UpperCamelCase       			=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"""

		_UpperCamelCase       			=[]
		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
						_UpperCamelCase       			=str((Path(__SCREAMING_SNAKE_CASE   ) / folder).relative_to(__SCREAMING_SNAKE_CASE   )   )
						_UpperCamelCase       			=short_path.replace(os.path.sep  ,      '''.'''   )
						submodules.append(__SCREAMING_SNAKE_CASE   )
				for fname in files:
						if fname == "__init__.py":
								continue
						_UpperCamelCase       			=str((Path(__SCREAMING_SNAKE_CASE   ) / fname).relative_to(__SCREAMING_SNAKE_CASE   )   )
						_UpperCamelCase       			=short_path.replace('''.py'''  ,      ''''''   ).replace(os.path.sep  ,      '''.'''   )
						if len(submodule.split('''.'''   )   ) == 1:
								submodules.append(__SCREAMING_SNAKE_CASE   )
		return submodules


__lowerCamelCase						: str		=   [
    'convert_pytorch_checkpoint_to_tf2',
    'modeling_flax_pytorch_utils',
]


def 					_a   ():


		"""simple docstring"""

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

		_UpperCamelCase       			=[
		    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:
				_UpperCamelCase       			='''\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()













'''simple docstring'''






import os
from shutil import copyfile
from typing import List, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
      from .tokenization_mbart import MBartTokenizer
else:
      __lowerCamelCase						: List[Any]		=   None


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


__lowerCamelCase						: Tuple		=   {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

__lowerCamelCase						: Union[str, Any]		=   {
    'vocab_file': {
        'facebook/mbart-large-en-ro': (
            'https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model'
        ),
        'facebook/mbart-large-cc25': (
            'https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model'
        ),
    },
    'tokenizer_file': {
        'facebook/mbart-large-en-ro': 'https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/tokenizer.json',
        'facebook/mbart-large-cc25': 'https://huggingface.co/facebook/mbart-large-cc25/resolve/main/tokenizer.json',
    },
}

__lowerCamelCase						: List[str]		=   {
    'facebook/mbart-large-en-ro': 1024,
    'facebook/mbart-large-cc25': 1024,
}

# fmt: off
__lowerCamelCase						: Optional[int]		=   ['ar_AR', 'cs_CZ', 'de_DE', 'en_XX', 'es_XX', 'et_EE', 'fi_FI', 'fr_XX', 'gu_IN', 'hi_IN', 'it_IT', 'ja_XX', 'kk_KZ', 'ko_KR', 'lt_LT', 'lv_LV', 'my_MM', 'ne_NP', 'nl_XX', 'ro_RO', 'ru_RU', 'si_LK', 'tr_TR', 'vi_VN', 'zh_CN']







class 		UpperCAmelCase   (				lowercase_):


  """simple docstring"""







  lowerCAmelCase_					=				VOCAB_FILES_NAMES
  lowerCAmelCase_					=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowerCAmelCase_					=				PRETRAINED_VOCAB_FILES_MAP
  lowerCAmelCase_					=				["""input_ids""", """attention_mask"""]
  lowerCAmelCase_					=				MBartTokenizer

  lowerCAmelCase_					=				[]
  lowerCAmelCase_					=				[]


  def __init__(				self    :					Optional[int]							,	UpperCamelCase__    :					List[Any]=None							,	UpperCamelCase__    :					Tuple=None							,	UpperCamelCase__    :					List[str]="<s>"							,	UpperCamelCase__    :					Optional[Any]="</s>"							,	UpperCamelCase__    :					Dict="</s>"							,	UpperCamelCase__    :					str="<s>"							,	UpperCamelCase__    :					Tuple="<unk>"							,	UpperCamelCase__    :					Dict="<pad>"							,	UpperCamelCase__    :					str="<mask>"							,	UpperCamelCase__    :					Any=None							,	UpperCamelCase__    :					List[str]=None							,	UpperCamelCase__    :					Dict=None							,	**UpperCamelCase__    :					Any							,	)     ->						List[str]:
    # Mask token behave like a normal word, i.e. include the space before it
    _UpperCamelCase       			=AddedToken(UpperCamelCase__							,	lstrip=UpperCamelCase__							,	rstrip=UpperCamelCase__  ) if isinstance(UpperCamelCase__							,	UpperCamelCase__  ) else mask_token

    super().__init__(
        vocab_file=UpperCamelCase__							,	tokenizer_file=UpperCamelCase__							,	bos_token=UpperCamelCase__							,	eos_token=UpperCamelCase__							,	sep_token=UpperCamelCase__							,	cls_token=UpperCamelCase__							,	unk_token=UpperCamelCase__							,	pad_token=UpperCamelCase__							,	mask_token=UpperCamelCase__							,	src_lang=UpperCamelCase__							,	tgt_lang=UpperCamelCase__							,	additional_special_tokens=UpperCamelCase__							,	**UpperCamelCase__							,	)

    _UpperCamelCase       			=vocab_file
    _UpperCamelCase       			=False if not self.vocab_file else True

    _UpperCamelCase       			=FAIRSEQ_LANGUAGE_CODES.copy()

    if additional_special_tokens is not None:
      # Only add those special tokens if they are not already there.
      _additional_special_tokens.extend(
          [t for t in additional_special_tokens if t not in _additional_special_tokens]  )

    self.add_special_tokens({'''additional_special_tokens''': _additional_special_tokens}  )
    _UpperCamelCase       			={
        lang_code: self.convert_tokens_to_ids(UpperCamelCase__  ) for lang_code in FAIRSEQ_LANGUAGE_CODES
    }

    _UpperCamelCase       			=src_lang if src_lang is not None else '''en_XX'''
    _UpperCamelCase       			=self.convert_tokens_to_ids(self._src_lang  )
    _UpperCamelCase       			=tgt_lang
    self.set_src_lang_special_tokens(self._src_lang  )


  @property
  def   UpperCamelCase__      (				self    :					str  )     ->						str:
    return self._src_lang


  @src_lang.setter
  def   UpperCamelCase__      (				self    :					List[str]							,	UpperCamelCase__    :					str  )     ->						None:
    _UpperCamelCase       			=new_src_lang
    self.set_src_lang_special_tokens(self._src_lang  )


  def   UpperCamelCase__      (				self    :					Dict							,	UpperCamelCase__    :					List[int]							,	UpperCamelCase__    :					Optional[List[int]] = None  )     ->						List[int]:
    if token_ids_a is None:
      return self.prefix_tokens + token_ids_a + self.suffix_tokens
    # We don't expect to process pairs, but leave the pair logic for API consistency
    return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens


  def   UpperCamelCase__      (				self    :					Dict							,	UpperCamelCase__    :					List[int]							,	UpperCamelCase__    :					Optional[List[int]] = None  )     ->						List[int]:
    _UpperCamelCase       			=[self.sep_token_id]
    _UpperCamelCase       			=[self.cls_token_id]

    if token_ids_a is None:
      return len(cls + token_ids_a + sep  ) * [0]
    return len(cls + token_ids_a + sep + sep + token_ids_a + sep  ) * [0]


  def   UpperCamelCase__      (				self    :					str							,	UpperCamelCase__    :					Optional[int]							,	UpperCamelCase__    :					str							,	UpperCamelCase__    :					Optional[str]							,	UpperCamelCase__    :					Optional[str]							,	**UpperCamelCase__    :					List[str]  )     ->						str:
    if src_lang is None or tgt_lang is None:
      raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model'''  )
    _UpperCamelCase       			=src_lang
    _UpperCamelCase       			=self(UpperCamelCase__							,	add_special_tokens=UpperCamelCase__							,	return_tensors=UpperCamelCase__							,	**UpperCamelCase__  )
    _UpperCamelCase       			=self.convert_tokens_to_ids(UpperCamelCase__  )
    _UpperCamelCase       			=tgt_lang_id
    return inputs


  def   UpperCamelCase__      (				self    :					Union[str, Any]							,	UpperCamelCase__    :					List[str]							,	UpperCamelCase__    :					str = "en_XX"							,	UpperCamelCase__    :					Optional[List[str]] = None							,	UpperCamelCase__    :					str = "ro_RO"							,	**UpperCamelCase__    :					Optional[int]							,	)     ->						BatchEncoding:
    _UpperCamelCase       			=src_lang
    _UpperCamelCase       			=tgt_lang
    return super().prepare_seqaseq_batch(UpperCamelCase__							,	UpperCamelCase__							,	**UpperCamelCase__  )


  def   UpperCamelCase__      (				self    :					Tuple  )     ->						List[str]:
    return self.set_src_lang_special_tokens(self.src_lang  )


  def   UpperCamelCase__      (				self    :					Union[str, Any]  )     ->						List[str]:
    return self.set_tgt_lang_special_tokens(self.tgt_lang  )


  def   UpperCamelCase__      (				self    :					str							,	UpperCamelCase__    :					str  )     ->						None:
    _UpperCamelCase       			=self.convert_tokens_to_ids(UpperCamelCase__  )
    _UpperCamelCase       			=[]
    _UpperCamelCase       			=[self.eos_token_id, self.cur_lang_code]

    _UpperCamelCase       			=self.convert_ids_to_tokens(self.prefix_tokens  )
    _UpperCamelCase       			=self.convert_ids_to_tokens(self.suffix_tokens  )

    _UpperCamelCase       			=processors.TemplateProcessing(
        single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str							,	pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str							,	special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str							,	self.prefix_tokens + self.suffix_tokens  )  )							,	)


  def   UpperCamelCase__      (				self    :					str							,	UpperCamelCase__    :					str  )     ->						None:
    _UpperCamelCase       			=self.convert_tokens_to_ids(UpperCamelCase__  )
    _UpperCamelCase       			=[]
    _UpperCamelCase       			=[self.eos_token_id, self.cur_lang_code]

    _UpperCamelCase       			=self.convert_ids_to_tokens(self.prefix_tokens  )
    _UpperCamelCase       			=self.convert_ids_to_tokens(self.suffix_tokens  )

    _UpperCamelCase       			=processors.TemplateProcessing(
        single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str							,	pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str							,	special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str							,	self.prefix_tokens + self.suffix_tokens  )  )							,	)




  def   UpperCamelCase__      (				self    :					Optional[Any]							,	UpperCamelCase__    :					str							,	UpperCamelCase__    :					Optional[str] = None  )     ->						Tuple[str]:
    if not self.can_save_slow_tokenizer:
      raise ValueError(
          '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
          '''tokenizer.'''  )

    if not os.path.isdir(UpperCamelCase__  ):
      logger.error(F'''Vocabulary path ({save_directory}) should be a directory.'''  )
      return
    _UpperCamelCase       			=os.path.join(
        UpperCamelCase__							,	(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']  )

    if os.path.abspath(self.vocab_file  ) != os.path.abspath(UpperCamelCase__  ):
      copyfile(self.vocab_file							,	UpperCamelCase__  )

    return (out_vocab_file,)






