



"""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:
					__lowerCAmelCase       :					Union[str, Any]      					=					None


__lowerCAmelCase       :					Dict      					=					logging.get_logger(__name__)


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

__lowerCAmelCase       :					Tuple      					=					{
    '''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'''
        ),
    },
}

__lowerCAmelCase       :					Optional[int]      					=					{
    '''facebook/nllb-large-en-ro''': 1024,
    '''facebook/nllb-200-distilled-600M''': 1024,
}

# fmt: off
__lowerCAmelCase       :					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    _lowerCAmelCase    (				SCREAMING_SNAKE_CASE__		):





		"""simple docstring"""






		_lowerCamelCase			  =       VOCAB_FILES_NAMES
		_lowerCamelCase			  =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_lowerCamelCase			  =       PRETRAINED_VOCAB_FILES_MAP
		_lowerCamelCase			  =       ['''input_ids''', '''attention_mask''']
		_lowerCamelCase			  =       NllbTokenizer

		_lowerCamelCase			  =       []
		_lowerCamelCase			  =       []





		def __init__(					self							,    _lowercase=None							,    _lowercase=None							,    _lowercase="<s>"							,    _lowercase="</s>"							,    _lowercase="</s>"							,    _lowercase="<s>"							,    _lowercase="<unk>"							,    _lowercase="<pad>"							,    _lowercase="<mask>"							,    _lowercase=None							,    _lowercase=None							,    _lowercase=None							,    _lowercase=False							,    **_lowercase							,    ) ->						Any:







								'''simple docstring'''

								snake_case_   : str						=			AddedToken(_lowercase							,    lstrip=_lowercase							,    rstrip=_lowercase   ) if isinstance(_lowercase							,    _lowercase   ) else mask_token
								snake_case_   : int						=			legacy_behaviour
								super().__init__(
								    vocab_file=_lowercase							,    tokenizer_file=_lowercase							,    bos_token=_lowercase							,    eos_token=_lowercase							,    sep_token=_lowercase							,    cls_token=_lowercase							,    unk_token=_lowercase							,    pad_token=_lowercase							,    mask_token=_lowercase							,    src_lang=_lowercase							,    tgt_lang=_lowercase							,    additional_special_tokens=_lowercase							,    legacy_behaviour=_lowercase							,    **_lowercase							,    )

								snake_case_   : Tuple						=			vocab_file
								snake_case_   : Dict						=			False if not self.vocab_file else True

								snake_case_   : List[Any]						=			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}   )
								snake_case_   : Any						=			{
								    lang_code: self.convert_tokens_to_ids(_lowercase   ) for lang_code in FAIRSEQ_LANGUAGE_CODES
								}

								snake_case_   : Any						=			src_lang if src_lang is not None else """eng_Latn"""
								snake_case_   : int						=			self.convert_tokens_to_ids(self._src_lang   )
								snake_case_   : Optional[int]						=			tgt_lang
								self.set_src_lang_special_tokens(self._src_lang   )





		@property
		def    UpperCAmelCase__							(					self   ) ->						str:







								'''simple docstring'''

								return self._src_lang





		@src_lang.setter
		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						None:







								'''simple docstring'''

								snake_case_   : Dict						=			new_src_lang
								self.set_src_lang_special_tokens(self._src_lang   )





		def    UpperCAmelCase__							(					self							,    _lowercase							,    _lowercase = None   ) ->						List[int]:







								'''simple docstring'''

								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							,    _lowercase							,    _lowercase = None   ) ->						List[int]:







								'''simple docstring'''

								snake_case_   : List[str]						=			[self.sep_token_id]
								snake_case_   : List[str]						=			[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							,    _lowercase							,    _lowercase							,    _lowercase							,    _lowercase							,    **_lowercase   ) ->						Dict:







								'''simple docstring'''

								if src_lang is None or tgt_lang is None:
														raise ValueError("""Translation requires a `src_lang` and a `tgt_lang` for this model"""   )
								snake_case_   : Optional[int]						=			src_lang
								snake_case_   : int						=			self(_lowercase							,    add_special_tokens=_lowercase							,    return_tensors=_lowercase							,    **_lowercase   )
								snake_case_   : List[Any]						=			self.convert_tokens_to_ids(_lowercase   )
								snake_case_   : str						=			tgt_lang_id
								return inputs





		def    UpperCAmelCase__							(					self							,    _lowercase							,    _lowercase = "eng_Latn"							,    _lowercase = None							,    _lowercase = "fra_Latn"							,    **_lowercase							,    ) ->						BatchEncoding:







								'''simple docstring'''

								snake_case_   : Any						=			src_lang
								snake_case_   : List[str]						=			tgt_lang
								return super().prepare_seqaseq_batch(_lowercase							,    _lowercase							,    **_lowercase   )





		def    UpperCAmelCase__							(					self   ) ->						Optional[int]:







								'''simple docstring'''

								return self.set_src_lang_special_tokens(self.src_lang   )





		def    UpperCAmelCase__							(					self   ) ->						Union[str, Any]:







								'''simple docstring'''

								return self.set_tgt_lang_special_tokens(self.tgt_lang   )





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						None:







								'''simple docstring'''

								snake_case_   : Optional[Any]						=			self.convert_tokens_to_ids(_lowercase   )

								if self.legacy_behaviour:
														snake_case_   : List[str]						=			[]
														snake_case_   : List[Any]						=			[self.eos_token_id, self.cur_lang_code]
								else:
														snake_case_   : List[str]						=			[self.cur_lang_code]
														snake_case_   : Union[str, Any]						=			[self.eos_token_id]

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

								snake_case_   : 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							,    _lowercase   ) ->						None:







								'''simple docstring'''

								snake_case_   : Dict						=			self.convert_tokens_to_ids(_lowercase   )
								if self.legacy_behaviour:
														snake_case_   : Tuple						=			[]
														snake_case_   : Tuple						=			[self.eos_token_id, self.cur_lang_code]
								else:
														snake_case_   : List[str]						=			[self.cur_lang_code]
														snake_case_   : int						=			[self.eos_token_id]

								snake_case_   : Tuple						=			self.convert_ids_to_tokens(self.prefix_tokens   )
								snake_case_   : List[str]						=			self.convert_ids_to_tokens(self.suffix_tokens   )

								snake_case_   : Optional[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							,    _lowercase							,    _lowercase = None   ) ->						Tuple[str]:







								'''simple docstring'''

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

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

								return (out_vocab_file,)






"""simple docstring"""





from .data_collator import (
    DataCollatorForLanguageModeling,
    DataCollatorForPermutationLanguageModeling,
    DataCollatorForSeqaSeq,
    DataCollatorForSOP,
    DataCollatorForTokenClassification,
    DataCollatorForWholeWordMask,
    DataCollatorWithPadding,
    DefaultDataCollator,
    default_data_collator,
)
from .metrics import glue_compute_metrics, xnli_compute_metrics
from .processors import (
    DataProcessor,
    InputExample,
    InputFeatures,
    SingleSentenceClassificationProcessor,
    SquadExample,
    SquadFeatures,
    SquadVaProcessor,
    SquadVaProcessor,
    glue_convert_examples_to_features,
    glue_output_modes,
    glue_processors,
    glue_tasks_num_labels,
    squad_convert_examples_to_features,
    xnli_output_modes,
    xnli_processors,
    xnli_tasks_num_labels,
)

