

"""simple docstring"""




from abc import ABC, abstractmethod
from typing import List, Optional


class 		_A       (			_A					):





      def __init__(  self		)   ->					str:
         # test for the above condition
         self.test()





      def 					_lowerCamelCase  (  self		)   ->					List[str]:
         lowerCamelCase__						=			0
         lowerCamelCase__						=			False
         while not completed:
            if counter == 1:
               self.reset()
            lowerCamelCase__						=			self.advance()
            if not self.does_advance(SCREAMING_SNAKE_CASE__		):
               raise Exception(
                   "Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true."		)

            lowerCamelCase__						=			self.update(SCREAMING_SNAKE_CASE__		)
            counter += 1

            if counter > 10000:
               raise Exception("update() does not fulfill the constraint."		)

         if self.remaining() != 0:
            raise Exception("Custom Constraint is not defined correctly."		)





      @abstractmethod
      def 					_lowerCamelCase  (  self		)   ->					Dict:
         raise NotImplementedError(
             f'{self.__class__} is an abstract class. Only classes inheriting this class can be called.'		)





      @abstractmethod
      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					Optional[int]:
         raise NotImplementedError(
             f'{self.__class__} is an abstract class. Only classes inheriting this class can be called.'		)





      @abstractmethod
      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					Union[str, Any]:
         raise NotImplementedError(
             f'{self.__class__} is an abstract class. Only classes inheriting this class can be called.'		)





      @abstractmethod
      def 					_lowerCamelCase  (  self		)   ->					Tuple:
         raise NotImplementedError(
             f'{self.__class__} is an abstract class. Only classes inheriting this class can be called.'		)





      @abstractmethod
      def 					_lowerCamelCase  (  self		)   ->					str:
         raise NotImplementedError(
             f'{self.__class__} is an abstract class. Only classes inheriting this class can be called.'		)





      @abstractmethod
      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__=False		)   ->					Any:
         raise NotImplementedError(
             f'{self.__class__} is an abstract class. Only classes inheriting this class can be called.'		)






class 		_A       (			_A					):





      def __init__(  self    ,						SCREAMING_SNAKE_CASE__		)   ->					str:
         super(SCREAMING_SNAKE_CASE__    ,						self		).__init__()

         if not isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		) or len(SCREAMING_SNAKE_CASE__		) == 0:
            raise ValueError(f'`token_ids` has to be a non-empty list, but is {token_ids}.'		)
         if any((not isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		) or token_id < 0) for token_id in token_ids		):
            raise ValueError(f'Each list in `token_ids` has to be a list of positive integers, but is {token_ids}.'		)

         lowerCamelCase__						=			token_ids

         lowerCamelCase__						=			len(self.token_ids		)
         lowerCamelCase__						=			-1  # the index of the currently fulfilled step
         lowerCamelCase__						=			False





      def 					_lowerCamelCase  (  self		)   ->					List[str]:
         if self.completed:
            return None
         return self.token_ids[self.fulfilled_idx + 1]





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					Optional[int]:
         if not isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		):
            raise ValueError(f'`token_id` has to be an `int`, but is {token_id} of type {type(SCREAMING_SNAKE_CASE__		)}'		)

         if self.completed:
            return False

         return token_id == self.token_ids[self.fulfilled_idx + 1]





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					List[str]:
         if not isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		):
            raise ValueError(f'`token_id` has to be an `int`, but is {token_id} of type {type(SCREAMING_SNAKE_CASE__		)}'		)

         lowerCamelCase__						=			False
         lowerCamelCase__						=			False
         lowerCamelCase__						=			False

         if self.does_advance(SCREAMING_SNAKE_CASE__		):
            self.fulfilled_idx += 1
            lowerCamelCase__						=			True
            if self.fulfilled_idx == (self.seqlen - 1):
               lowerCamelCase__						=			True
            lowerCamelCase__						=			completed
         else:
            # failed to make progress.
            lowerCamelCase__						=			True
            self.reset()
         return stepped, completed, reset





      def 					_lowerCamelCase  (  self		)   ->					Union[str, Any]:
         lowerCamelCase__						=			False
         lowerCamelCase__						=			0





      def 					_lowerCamelCase  (  self		)   ->					List[Any]:
         return self.seqlen - (self.fulfilled_idx + 1)





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__=False		)   ->					Optional[Any]:
         lowerCamelCase__						=			PhrasalConstraint(self.token_ids		)

         if stateful:
            lowerCamelCase__						=			self.seqlen
            lowerCamelCase__						=			self.fulfilled_idx
            lowerCamelCase__						=			self.completed

         return new_constraint






class 		_A       :





      def __init__(  self    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__=True		)   ->					Tuple:
         lowerCamelCase__						=			max([len(SCREAMING_SNAKE_CASE__		) for one in nested_token_ids]		)

         lowerCamelCase__						=			{}
         for token_ids in nested_token_ids:
            lowerCamelCase__						=			root
            for tidx, token_id in enumerate(SCREAMING_SNAKE_CASE__		):
               if token_id not in level:
                  lowerCamelCase__						=			{}

               lowerCamelCase__						=			level[token_id]

         if no_subsets and self.has_subsets(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		):
            raise ValueError(
                "Each list in `nested_token_ids` can't be a complete subset of another list, but is"
                f' {nested_token_ids}.'		)

         lowerCamelCase__						=			root





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					Union[str, Any]:
         lowerCamelCase__						=			self.trie

         for current_token in current_seq:
            lowerCamelCase__						=			start[current_token]

         lowerCamelCase__						=			list(start.keys()		)

         return next_tokens





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					List[Any]:
         lowerCamelCase__						=			self.next_tokens(SCREAMING_SNAKE_CASE__		)

         return len(SCREAMING_SNAKE_CASE__		) == 0





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					str:
         lowerCamelCase__						=			list(root.values()		)
         if len(SCREAMING_SNAKE_CASE__		) == 0:
            return 1
         else:
            return sum([self.count_leaves(SCREAMING_SNAKE_CASE__		) for nn in next_nodes]		)





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		)   ->					Dict:
         lowerCamelCase__						=			self.count_leaves(SCREAMING_SNAKE_CASE__		)
         return len(SCREAMING_SNAKE_CASE__		) != leaf_count






class 		_A       (			_A					):





      def __init__(  self    ,						SCREAMING_SNAKE_CASE__		)   ->					int:
         super(SCREAMING_SNAKE_CASE__    ,						self		).__init__()

         if not isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		) or len(SCREAMING_SNAKE_CASE__		) == 0:
            raise ValueError(f'`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.'		)
         if any(not isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		) for token_ids in nested_token_ids		):
            raise ValueError(f'`nested_token_ids` has to be a list of lists, but is {nested_token_ids}.'		)
         if any(
             any((not isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		) or token_id < 0) for token_id in token_ids		)
             for token_ids in nested_token_ids		):
            raise ValueError(
                f'Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}.'		)

         lowerCamelCase__						=			DisjunctiveTrie(SCREAMING_SNAKE_CASE__		)
         lowerCamelCase__						=			nested_token_ids

         lowerCamelCase__						=			self.trie.max_height
         lowerCamelCase__						=			[]
         lowerCamelCase__						=			False





      def 					_lowerCamelCase  (  self		)   ->					Dict:
         lowerCamelCase__						=			self.trie.next_tokens(self.current_seq		)

         if len(SCREAMING_SNAKE_CASE__		) == 0:
            return None
         else:
            return token_list





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					int:
         if not isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		):
            raise ValueError(f'`token_id` is supposed to be type `int`, but is {token_id} of type {type(SCREAMING_SNAKE_CASE__		)}'		)

         lowerCamelCase__						=			self.trie.next_tokens(self.current_seq		)

         return token_id in next_tokens





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					str:
         if not isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		):
            raise ValueError(f'`token_id` is supposed to be type `int`, but is {token_id} of type {type(SCREAMING_SNAKE_CASE__		)}'		)

         lowerCamelCase__						=			False
         lowerCamelCase__						=			False
         lowerCamelCase__						=			False

         if self.does_advance(SCREAMING_SNAKE_CASE__		):
            self.current_seq.append(SCREAMING_SNAKE_CASE__		)
            lowerCamelCase__						=			True
         else:
            lowerCamelCase__						=			True
            self.reset()

         lowerCamelCase__						=			self.trie.reached_leaf(self.current_seq		)
         lowerCamelCase__						=			completed

         return stepped, completed, reset





      def 					_lowerCamelCase  (  self		)   ->					Optional[Any]:
         lowerCamelCase__						=			False
         lowerCamelCase__						=			[]





      def 					_lowerCamelCase  (  self		)   ->					List[str]:
         if self.completed:
            # since this can be completed without reaching max height
            return 0
         else:
            return self.seqlen - len(self.current_seq		)





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__=False		)   ->					Optional[Any]:
         lowerCamelCase__						=			DisjunctiveConstraint(self.token_ids		)

         if stateful:
            lowerCamelCase__						=			self.seqlen
            lowerCamelCase__						=			self.current_seq
            lowerCamelCase__						=			self.completed

         return new_constraint






class 		_A       :





      def __init__(  self    ,						SCREAMING_SNAKE_CASE__		)   ->					Union[str, Any]:
         lowerCamelCase__						=			constraints

         # max # of steps required to fulfill a given constraint
         lowerCamelCase__						=			max([c.seqlen for c in constraints]		)
         lowerCamelCase__						=			len(SCREAMING_SNAKE_CASE__		)
         lowerCamelCase__						=			False

         self.init_state()





      def 					_lowerCamelCase  (  self		)   ->					int:
         lowerCamelCase__						=			[]
         lowerCamelCase__						=			None
         lowerCamelCase__						=			[constraint.copy(stateful=SCREAMING_SNAKE_CASE__		) for constraint in self.constraints]





      def 					_lowerCamelCase  (  self		)   ->					str:
         lowerCamelCase__						=			0
         if self.inprogress_constraint:
            # extra points for having a constraint mid-fulfilled
            add += self.max_seqlen - self.inprogress_constraint.remaining()

         return (len(self.complete_constraints		) * self.max_seqlen) + add





      def 					_lowerCamelCase  (  self		)   ->					List[str]:
         lowerCamelCase__						=			[]
         if self.inprogress_constraint is None:
            for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
               lowerCamelCase__						=			constraint.advance()
               if isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		):
                  token_list.append(SCREAMING_SNAKE_CASE__		)
               elif isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		):
                  token_list.extend(SCREAMING_SNAKE_CASE__		)
         else:
            lowerCamelCase__						=			self.inprogress_constraint.advance()
            if isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		):
               token_list.append(SCREAMING_SNAKE_CASE__		)
            elif isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		):
               token_list.extend(SCREAMING_SNAKE_CASE__		)

         if len(SCREAMING_SNAKE_CASE__		) == 0:
            return None
         else:
            return token_list





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					List[str]:
         self.init_state()

         if token_ids is not None:
            for token in token_ids:
               # completes or steps **one** constraint
               lowerCamelCase__						=			self.add(SCREAMING_SNAKE_CASE__		)

               # the entire list of constraints are fulfilled
               if self.completed:
                  break





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					Any:
         if not isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		):
            raise ValueError(f'`token_id` should be an `int`, but is `{token_id}`.'		)

         lowerCamelCase__						=			False, False

         if self.completed:
            lowerCamelCase__						=			True
            lowerCamelCase__						=			False
            return complete, stepped

         if self.inprogress_constraint is not None:
            # In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
            # job, simply update the state

            lowerCamelCase__						=			self.inprogress_constraint.update(SCREAMING_SNAKE_CASE__		)
            if reset:
               # 1. If the next token breaks the progress, then we must restart.
               #     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

               #     But that doesn't mean we self.init_state(), since we only reset the state for this particular
               #     constraint, not the full list of constraints.

               self.pending_constraints.append(self.inprogress_constraint.copy(stateful=SCREAMING_SNAKE_CASE__		)		)
               lowerCamelCase__						=			None

            if complete:
               # 2. If the next token completes the constraint, move it to completed list, set
               #     inprogress to None. If there are no pending constraints either, then this full list of constraints
               #     is complete.

               self.complete_constraints.append(self.inprogress_constraint		)
               lowerCamelCase__						=			None

               if len(self.pending_constraints		) == 0:
                  # we're done!
                  lowerCamelCase__						=			True

         else:
            # Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
            # of constraints?

            for cidx, pending_constraint in enumerate(self.pending_constraints		):
               if pending_constraint.does_advance(SCREAMING_SNAKE_CASE__		):
                  lowerCamelCase__						=			pending_constraint.update(SCREAMING_SNAKE_CASE__		)

                  if not stepped:
                     raise Exception(
                         "`constraint.update(token_id)` is not yielding incremental progress, "
                         "even though `constraint.does_advance(token_id)` is true."		)

                  if complete:
                     self.complete_constraints.append(SCREAMING_SNAKE_CASE__		)
                     lowerCamelCase__						=			None

                  if not complete and stepped:
                     lowerCamelCase__						=			pending_constraint

                  if complete or stepped:
                     # If we made any progress at all, then it's at least not a "pending constraint".

                     lowerCamelCase__						=			(
                         self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
                     )

                     if len(self.pending_constraints		) == 0 and self.inprogress_constraint is None:
                        # If there's no longer any pending after this and no inprogress either, then we must be
                        # complete.

                        lowerCamelCase__						=			True

                     break  # prevent accidentally stepping through multiple constraints with just one token.

         return complete, stepped





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__=True		)   ->					Optional[int]:
         lowerCamelCase__						=			ConstraintListState(self.constraints		)  # we actually never though self.constraints objects
         # throughout this process. So it's at initialization state.

         if stateful:
            lowerCamelCase__						=			[
                constraint.copy(stateful=SCREAMING_SNAKE_CASE__		) for constraint in self.complete_constraints
            ]
            if self.inprogress_constraint is not None:
               lowerCamelCase__						=			self.inprogress_constraint.copy(stateful=SCREAMING_SNAKE_CASE__		)
            lowerCamelCase__						=			[constraint.copy() for constraint in self.pending_constraints]

         return new_state







"""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_nllb import NllbTokenizer
else:
     SCREAMING_SNAKE_CASE_     :			Dict	  =			None


SCREAMING_SNAKE_CASE_     :			int	  =			logging.get_logger(__name__)


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

SCREAMING_SNAKE_CASE_     :			Optional[int]	  =			{
    '''vocab_file''': {
        '''facebook/nllb-200-distilled-600M''': (
            '''https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/sentencepiece.bpe.model'''
        ),
    },
    '''tokenizer_file''': {
        '''facebook/nllb-200-distilled-600M''': (
            '''https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/tokenizer.json'''
        ),
    },
}

SCREAMING_SNAKE_CASE_     :			Any	  =			{
    '''facebook/nllb-large-en-ro''': 1024,
    '''facebook/nllb-200-distilled-600M''': 1024,
}

# fmt: off
SCREAMING_SNAKE_CASE_     :			Optional[int]	  =			['''ace_Arab''', '''ace_Latn''', '''acm_Arab''', '''acq_Arab''', '''aeb_Arab''', '''afr_Latn''', '''ajp_Arab''', '''aka_Latn''', '''amh_Ethi''', '''apc_Arab''', '''arb_Arab''', '''ars_Arab''', '''ary_Arab''', '''arz_Arab''', '''asm_Beng''', '''ast_Latn''', '''awa_Deva''', '''ayr_Latn''', '''azb_Arab''', '''azj_Latn''', '''bak_Cyrl''', '''bam_Latn''', '''ban_Latn''', '''bel_Cyrl''', '''bem_Latn''', '''ben_Beng''', '''bho_Deva''', '''bjn_Arab''', '''bjn_Latn''', '''bod_Tibt''', '''bos_Latn''', '''bug_Latn''', '''bul_Cyrl''', '''cat_Latn''', '''ceb_Latn''', '''ces_Latn''', '''cjk_Latn''', '''ckb_Arab''', '''crh_Latn''', '''cym_Latn''', '''dan_Latn''', '''deu_Latn''', '''dik_Latn''', '''dyu_Latn''', '''dzo_Tibt''', '''ell_Grek''', '''eng_Latn''', '''epo_Latn''', '''est_Latn''', '''eus_Latn''', '''ewe_Latn''', '''fao_Latn''', '''pes_Arab''', '''fij_Latn''', '''fin_Latn''', '''fon_Latn''', '''fra_Latn''', '''fur_Latn''', '''fuv_Latn''', '''gla_Latn''', '''gle_Latn''', '''glg_Latn''', '''grn_Latn''', '''guj_Gujr''', '''hat_Latn''', '''hau_Latn''', '''heb_Hebr''', '''hin_Deva''', '''hne_Deva''', '''hrv_Latn''', '''hun_Latn''', '''hye_Armn''', '''ibo_Latn''', '''ilo_Latn''', '''ind_Latn''', '''isl_Latn''', '''ita_Latn''', '''jav_Latn''', '''jpn_Jpan''', '''kab_Latn''', '''kac_Latn''', '''kam_Latn''', '''kan_Knda''', '''kas_Arab''', '''kas_Deva''', '''kat_Geor''', '''knc_Arab''', '''knc_Latn''', '''kaz_Cyrl''', '''kbp_Latn''', '''kea_Latn''', '''khm_Khmr''', '''kik_Latn''', '''kin_Latn''', '''kir_Cyrl''', '''kmb_Latn''', '''kon_Latn''', '''kor_Hang''', '''kmr_Latn''', '''lao_Laoo''', '''lvs_Latn''', '''lij_Latn''', '''lim_Latn''', '''lin_Latn''', '''lit_Latn''', '''lmo_Latn''', '''ltg_Latn''', '''ltz_Latn''', '''lua_Latn''', '''lug_Latn''', '''luo_Latn''', '''lus_Latn''', '''mag_Deva''', '''mai_Deva''', '''mal_Mlym''', '''mar_Deva''', '''min_Latn''', '''mkd_Cyrl''', '''plt_Latn''', '''mlt_Latn''', '''mni_Beng''', '''khk_Cyrl''', '''mos_Latn''', '''mri_Latn''', '''zsm_Latn''', '''mya_Mymr''', '''nld_Latn''', '''nno_Latn''', '''nob_Latn''', '''npi_Deva''', '''nso_Latn''', '''nus_Latn''', '''nya_Latn''', '''oci_Latn''', '''gaz_Latn''', '''ory_Orya''', '''pag_Latn''', '''pan_Guru''', '''pap_Latn''', '''pol_Latn''', '''por_Latn''', '''prs_Arab''', '''pbt_Arab''', '''quy_Latn''', '''ron_Latn''', '''run_Latn''', '''rus_Cyrl''', '''sag_Latn''', '''san_Deva''', '''sat_Beng''', '''scn_Latn''', '''shn_Mymr''', '''sin_Sinh''', '''slk_Latn''', '''slv_Latn''', '''smo_Latn''', '''sna_Latn''', '''snd_Arab''', '''som_Latn''', '''sot_Latn''', '''spa_Latn''', '''als_Latn''', '''srd_Latn''', '''srp_Cyrl''', '''ssw_Latn''', '''sun_Latn''', '''swe_Latn''', '''swh_Latn''', '''szl_Latn''', '''tam_Taml''', '''tat_Cyrl''', '''tel_Telu''', '''tgk_Cyrl''', '''tgl_Latn''', '''tha_Thai''', '''tir_Ethi''', '''taq_Latn''', '''taq_Tfng''', '''tpi_Latn''', '''tsn_Latn''', '''tso_Latn''', '''tuk_Latn''', '''tum_Latn''', '''tur_Latn''', '''twi_Latn''', '''tzm_Tfng''', '''uig_Arab''', '''ukr_Cyrl''', '''umb_Latn''', '''urd_Arab''', '''uzn_Latn''', '''vec_Latn''', '''vie_Latn''', '''war_Latn''', '''wol_Latn''', '''xho_Latn''', '''ydd_Hebr''', '''yor_Latn''', '''yue_Hant''', '''zho_Hans''', '''zho_Hant''', '''zul_Latn''']


class 		_A       (			__a					):
      __a								=	VOCAB_FILES_NAMES
      __a								=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __a								=	PRETRAINED_VOCAB_FILES_MAP
      __a								=	['input_ids', 'attention_mask']
      __a								=	NllbTokenizer

      __a								=	[]
      __a								=	[]





      def __init__(  self    ,						SCREAMING_SNAKE_CASE__=None    ,						SCREAMING_SNAKE_CASE__=None    ,						SCREAMING_SNAKE_CASE__="<s>"    ,						SCREAMING_SNAKE_CASE__="</s>"    ,						SCREAMING_SNAKE_CASE__="</s>"    ,						SCREAMING_SNAKE_CASE__="<s>"    ,						SCREAMING_SNAKE_CASE__="<unk>"    ,						SCREAMING_SNAKE_CASE__="<pad>"    ,						SCREAMING_SNAKE_CASE__="<mask>"    ,						SCREAMING_SNAKE_CASE__=None    ,						SCREAMING_SNAKE_CASE__=None    ,						SCREAMING_SNAKE_CASE__=None    ,						SCREAMING_SNAKE_CASE__=False    ,						**SCREAMING_SNAKE_CASE__    ,						)   ->					Any:
         # Mask token behave like a normal word, i.e. include the space before it
         lowerCamelCase__						=			AddedToken(SCREAMING_SNAKE_CASE__    ,						lstrip=SCREAMING_SNAKE_CASE__    ,						rstrip=SCREAMING_SNAKE_CASE__		) if isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__		) else mask_token
         lowerCamelCase__						=			legacy_behaviour
         super().__init__(
             vocab_file=SCREAMING_SNAKE_CASE__    ,						tokenizer_file=SCREAMING_SNAKE_CASE__    ,						bos_token=SCREAMING_SNAKE_CASE__    ,						eos_token=SCREAMING_SNAKE_CASE__    ,						sep_token=SCREAMING_SNAKE_CASE__    ,						cls_token=SCREAMING_SNAKE_CASE__    ,						unk_token=SCREAMING_SNAKE_CASE__    ,						pad_token=SCREAMING_SNAKE_CASE__    ,						mask_token=SCREAMING_SNAKE_CASE__    ,						src_lang=SCREAMING_SNAKE_CASE__    ,						tgt_lang=SCREAMING_SNAKE_CASE__    ,						additional_special_tokens=SCREAMING_SNAKE_CASE__    ,						legacy_behaviour=SCREAMING_SNAKE_CASE__    ,						**SCREAMING_SNAKE_CASE__    ,						)

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

         lowerCamelCase__						=			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}		)
         lowerCamelCase__						=			{
             lang_code: self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__		) for lang_code in FAIRSEQ_LANGUAGE_CODES
         }

         lowerCamelCase__						=			src_lang if src_lang is not None else "eng_Latn"
         lowerCamelCase__						=			self.convert_tokens_to_ids(self._src_lang		)
         lowerCamelCase__						=			tgt_lang
         self.set_src_lang_special_tokens(self._src_lang		)





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





      @src_lang.setter
      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					None:
         lowerCamelCase__						=			new_src_lang
         self.set_src_lang_special_tokens(self._src_lang		)





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__ = 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 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__ = None		)   ->					List[int]:
         lowerCamelCase__						=			[self.sep_token_id]
         lowerCamelCase__						=			[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 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						**SCREAMING_SNAKE_CASE__		)   ->					Any:
         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__						=			src_lang
         lowerCamelCase__						=			self(SCREAMING_SNAKE_CASE__    ,						add_special_tokens=SCREAMING_SNAKE_CASE__    ,						return_tensors=SCREAMING_SNAKE_CASE__    ,						**SCREAMING_SNAKE_CASE__		)
         lowerCamelCase__						=			self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__		)
         lowerCamelCase__						=			tgt_lang_id
         return inputs





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__ = "eng_Latn"    ,						SCREAMING_SNAKE_CASE__ = None    ,						SCREAMING_SNAKE_CASE__ = "fra_Latn"    ,						**SCREAMING_SNAKE_CASE__    ,						)   ->					BatchEncoding:
         lowerCamelCase__						=			src_lang
         lowerCamelCase__						=			tgt_lang
         return super().prepare_seqaseq_batch(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						**SCREAMING_SNAKE_CASE__		)





      def 					_lowerCamelCase  (  self		)   ->					Any:
         return self.set_src_lang_special_tokens(self.src_lang		)





      def 					_lowerCamelCase  (  self		)   ->					Tuple:
         return self.set_tgt_lang_special_tokens(self.tgt_lang		)





      def 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					None:
         lowerCamelCase__						=			self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__		)

         if self.legacy_behaviour:
            lowerCamelCase__						=			[]
            lowerCamelCase__						=			[self.eos_token_id, self.cur_lang_code]
         else:
            lowerCamelCase__						=			[self.cur_lang_code]
            lowerCamelCase__						=			[self.eos_token_id]

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

         lowerCamelCase__						=			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 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__		)   ->					None:
         lowerCamelCase__						=			self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__		)
         if self.legacy_behaviour:
            lowerCamelCase__						=			[]
            lowerCamelCase__						=			[self.eos_token_id, self.cur_lang_code]
         else:
            lowerCamelCase__						=			[self.cur_lang_code]
            lowerCamelCase__						=			[self.eos_token_id]

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

         lowerCamelCase__						=			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 					_lowerCamelCase  (  self    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__ = 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(SCREAMING_SNAKE_CASE__		):
            logger.error(f'Vocabulary path ({save_directory}) should be a directory.'		)
            return
         lowerCamelCase__						=			os.path.join(
             SCREAMING_SNAKE_CASE__    ,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)

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

         return (out_vocab_file,)




