


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_mbartaa import MBartaaTokenizer
else:
		lowerCamelCase		=						None


lowerCamelCase		=						logging.get_logger(__name__)

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

lowerCamelCase		=						{
    'vocab_file': {
        'facebook/mbart-large-50-one-to-many-mmt': (
            'https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/sentencepiece.bpe.model'
        ),
    },
    'tokenizer_file': {
        'facebook/mbart-large-50-one-to-many-mmt': (
            'https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/tokenizer.json'
        ),
    },
}

lowerCamelCase		=						{
    'facebook/mbart-large-50-one-to-many-mmt': 1024,
}

# fmt: off
lowerCamelCase		=						['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', 'af_ZA', 'az_AZ', 'bn_IN', 'fa_IR', 'he_IL', 'hr_HR', 'id_ID', 'ka_GE', 'km_KH', 'mk_MK', 'ml_IN', 'mn_MN', 'mr_IN', 'pl_PL', 'ps_AF', 'pt_XX', 'sv_SE', 'sw_KE', 'ta_IN', 'te_IN', 'th_TH', 'tl_XX', 'uk_UA', 'ur_PK', 'xh_ZA', 'gl_ES', 'sl_SI']





class    _a				(							_lowercase):
	_a    :    Optional[Any]        =				VOCAB_FILES_NAMES
	_a    :    Tuple        =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_a    :    str        =				PRETRAINED_VOCAB_FILES_MAP
	_a    :    Union[str, Any]        =				['''input_ids''', '''attention_mask''']
	_a    :    List[Any]        =				MBartaaTokenizer

	_a    :    Any        =				[]
	_a    :    Union[str, Any]        =				[]




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

			lowerCAmelCase__  :     Union[str, Any]       	=   kwargs.get('''additional_special_tokens'''						,   []						)
			kwargs["additional_special_tokens"] += [
			    code for code in FAIRSEQ_LANGUAGE_CODES if code not in kwargs["additional_special_tokens"]
			]

			super().__init__(
			    _lowerCAmelCase						,   src_lang=_lowerCAmelCase						,   tgt_lang=_lowerCAmelCase						,   tokenizer_file=_lowerCAmelCase						,   eos_token=_lowerCAmelCase						,   sep_token=_lowerCAmelCase						,   cls_token=_lowerCAmelCase						,   unk_token=_lowerCAmelCase						,   pad_token=_lowerCAmelCase						,   mask_token=_lowerCAmelCase						,   **_lowerCAmelCase						,   )

			lowerCAmelCase__  :     Any       	=   vocab_file
			lowerCAmelCase__  :     Tuple       	=   False if not self.vocab_file else True

			lowerCAmelCase__  :     Tuple       	=   {
			    lang_code: self.convert_tokens_to_ids(_lowerCAmelCase						) for lang_code in FAIRSEQ_LANGUAGE_CODES
			}

			lowerCAmelCase__  :     List[Any]       	=   src_lang if src_lang is not None else '''en_XX'''
			lowerCAmelCase__  :     List[Any]       	=   tgt_lang
			lowerCAmelCase__  :     Dict       	=   self.lang_code_to_id[self._src_lang]
			self.set_src_lang_special_tokens(self._src_lang						)




	@property
	def 				UpperCAmelCase__(   self		:						Union[str, Any]						)->			str:
			return self._src_lang




	@src_lang.setter
	def 				UpperCAmelCase__(   self		:						str						,   _SCREAMING_SNAKE_CASE		:						str						)->			None:
			lowerCAmelCase__  :     Optional[Any]       	=   new_src_lang
			self.set_src_lang_special_tokens(self._src_lang						)




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




	def 				UpperCAmelCase__(   self		:						Optional[int]						)->			str:
			return self.set_src_lang_special_tokens(self.src_lang						)




	def 				UpperCAmelCase__(   self		:						List[str]						)->			List[str]:
			return self.set_tgt_lang_special_tokens(self.tgt_lang						)




	def 				UpperCAmelCase__(   self		:						str						,   _SCREAMING_SNAKE_CASE		:						str						)->			None:
			lowerCAmelCase__  :     Optional[int]       	=   self.convert_tokens_to_ids(_lowerCAmelCase						)
			lowerCAmelCase__  :     int       	=   [self.cur_lang_code_id]
			lowerCAmelCase__  :     str       	=   [self.eos_token_id]

			lowerCAmelCase__  :     str       	=   self.convert_ids_to_tokens(self.prefix_tokens						)
			lowerCAmelCase__  :     List[Any]       	=   self.convert_ids_to_tokens(self.suffix_tokens						)

			lowerCAmelCase__  :     Optional[int]       	=   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						,   _SCREAMING_SNAKE_CASE		:						str						)->			None:
			lowerCAmelCase__  :     int       	=   self.convert_tokens_to_ids(_lowerCAmelCase						)
			lowerCAmelCase__  :     int       	=   [self.cur_lang_code_id]
			lowerCAmelCase__  :     Optional[int]       	=   [self.eos_token_id]

			lowerCAmelCase__  :     List[Any]       	=   self.convert_ids_to_tokens(self.prefix_tokens						)
			lowerCAmelCase__  :     Tuple       	=   self.convert_ids_to_tokens(self.suffix_tokens						)

			lowerCAmelCase__  :     Union[str, Any]       	=   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		:						Dict						,   _SCREAMING_SNAKE_CASE		:						Tuple						,   _SCREAMING_SNAKE_CASE		:						str						,   _SCREAMING_SNAKE_CASE		:						Optional[str]						,   _SCREAMING_SNAKE_CASE		:						Optional[str]						,   **_SCREAMING_SNAKE_CASE		:						Union[str, Any]						)->			List[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'''						)
			lowerCAmelCase__  :     List[Any]       	=   src_lang
			lowerCAmelCase__  :     Any       	=   self(_lowerCAmelCase						,   add_special_tokens=_lowerCAmelCase						,   return_tensors=_lowerCAmelCase						,   **_lowerCAmelCase						)
			lowerCAmelCase__  :     str       	=   self.convert_tokens_to_ids(_lowerCAmelCase						)
			lowerCAmelCase__  :     Optional[Any]       	=   tgt_lang_id
			return inputs




	def 				UpperCAmelCase__(   self		:						List[Any]						,   _SCREAMING_SNAKE_CASE		:						str						,   _SCREAMING_SNAKE_CASE		:						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(_lowerCAmelCase						):
					logger.error(F'Vocabulary path ({save_directory}) should be a directory'						)
					return
			lowerCAmelCase__  :     Union[str, Any]       	=   os.path.join(
			    _lowerCAmelCase						,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']						)

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

			return (out_vocab_file,)






from __future__ import annotations



def 	_a  (					__SCREAMING_SNAKE_CASE					:  list		,				__SCREAMING_SNAKE_CASE					:  list    ):






  """simple docstring"""




  _lowerCAmelCase						=		[None] * (len(__SCREAMING_SNAKE_CASE    ) + len(__SCREAMING_SNAKE_CASE    ))

  _lowerCAmelCase						=		0  # pointer to current index for left Half
  _lowerCAmelCase						=		0  # pointer to current index for the right Half
  _lowerCAmelCase						=		0  # pointer to current index for the sorted array Half

  while pointera < len(__SCREAMING_SNAKE_CASE    ) and pointera < len(__SCREAMING_SNAKE_CASE    ):
    if left_half[pointera] < right_half[pointera]:
      _lowerCAmelCase						=		left_half[pointera]
      pointera += 1
      index += 1
    else:
      _lowerCAmelCase						=		right_half[pointera]
      pointera += 1
      index += 1
  while pointera < len(__SCREAMING_SNAKE_CASE    ):
    _lowerCAmelCase						=		left_half[pointera]
    pointera += 1
    index += 1

  while pointera < len(__SCREAMING_SNAKE_CASE    ):
    _lowerCAmelCase						=		right_half[pointera]
    pointera += 1
    index += 1

  return sorted_array



def 	_a  (					__SCREAMING_SNAKE_CASE					:  list    ):






  """simple docstring"""




  if len(__SCREAMING_SNAKE_CASE    ) <= 1:
    return array
  # the actual formula to calculate the middle element = left + (right - left) // 2
  # this avoids integer overflow in case of large N
  _lowerCAmelCase						=		0 + (len(__SCREAMING_SNAKE_CASE    ) - 0) // 2

  # Split the array into halves till the array length becomes equal to One
  # merge the arrays of single length returned by mergeSort function and
  # pass them into the merge arrays function which merges the array
  _lowerCAmelCase						=		array[:middle]
  _lowerCAmelCase						=		array[middle:]

  return merge(merge_sort(__SCREAMING_SNAKE_CASE    )		,				merge_sort(__SCREAMING_SNAKE_CASE    )    )


if __name__ == "__main__":
       import doctest

       doctest.testmod()
