




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:
		__UpperCamelCase					:       Any    					=      None


__UpperCamelCase					:       Optional[Any]    					=      logging.get_logger(__name__)


__UpperCamelCase					:       List[Any]    					=      {"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

__UpperCamelCase					:       Union[str, Any]    					=      {
    "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"
        ),
    },
}

__UpperCamelCase					:       int    					=      {
    "facebook/nllb-large-en-ro": 1_024,
    "facebook/nllb-200-distilled-600M": 1_024,
}

# fmt: off
__UpperCamelCase					:       List[str]    					=      ["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	(	__magic_name__ ):
							UpperCamelCase__					     =  VOCAB_FILES_NAMES
							UpperCamelCase__					     =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCamelCase__					     =  PRETRAINED_VOCAB_FILES_MAP
							UpperCamelCase__					     =  ['''input_ids''', '''attention_mask''']
							UpperCamelCase__					     =  NllbTokenizer

							UpperCamelCase__					     =  []
							UpperCamelCase__					     =  []
							def __init__(						self						:str		,      __magic_name__						:Optional[Any]=None		,      __magic_name__						:Dict=None		,      __magic_name__						:int="<s>"		,      __magic_name__						:Dict="</s>"		,      __magic_name__						:str="</s>"		,      __magic_name__						:Dict="<s>"		,      __magic_name__						:Tuple="<unk>"		,      __magic_name__						:Any="<pad>"		,      __magic_name__						:Tuple="<mask>"		,      __magic_name__						:int=None		,      __magic_name__						:Optional[int]=None		,      __magic_name__						:str=None		,      __magic_name__						:List[str]=False		,      **__magic_name__						:int		,      ):







								'''simple docstring'''







								a										=							AddedToken(__magic_name__		,      lstrip=__magic_name__		,      rstrip=__magic_name__				) if isinstance(__magic_name__		,      __magic_name__				) else mask_token
								a										=							legacy_behaviour
								super().__init__(
								    vocab_file=__magic_name__		,      tokenizer_file=__magic_name__		,      bos_token=__magic_name__		,      eos_token=__magic_name__		,      sep_token=__magic_name__		,      cls_token=__magic_name__		,      unk_token=__magic_name__		,      pad_token=__magic_name__		,      mask_token=__magic_name__		,      src_lang=__magic_name__		,      tgt_lang=__magic_name__		,      additional_special_tokens=__magic_name__		,      legacy_behaviour=__magic_name__		,      **__magic_name__		,      )

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

								a										=							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}				)
								a										=							{
								    lang_code: self.convert_tokens_to_ids(__magic_name__				) for lang_code in FAIRSEQ_LANGUAGE_CODES
								}

								a										=							src_lang if src_lang is not None else """eng_Latn"""
								a										=							self.convert_tokens_to_ids(self._src_lang				)
								a										=							tgt_lang
								self.set_src_lang_special_tokens(self._src_lang				)
							@property
							def       lowerCamelCase__							(						self						:Optional[Any]				):







								'''simple docstring'''







								return self._src_lang
							@src_lang.setter
							def       lowerCamelCase__							(						self						:Tuple		,      __magic_name__						:str				):







								'''simple docstring'''







								a										=							new_src_lang
								self.set_src_lang_special_tokens(self._src_lang				)
							def       lowerCamelCase__							(						self						:Union[str, Any]		,      __magic_name__						:List[int]		,      __magic_name__						:Optional[List[int]] = None				):







								'''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       lowerCamelCase__							(						self						:Tuple		,      __magic_name__						:List[int]		,      __magic_name__						:Optional[List[int]] = None				):







								'''simple docstring'''







								a										=							[self.sep_token_id]
								a										=							[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						:Union[str, Any]		,      __magic_name__						:int		,      __magic_name__						:str		,      __magic_name__						:Optional[str]		,      __magic_name__						:Optional[str]		,      **__magic_name__						:Union[str, Any]				):







								'''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"""				)
								a										=							src_lang
								a										=							self(__magic_name__		,      add_special_tokens=__magic_name__		,      return_tensors=__magic_name__		,      **__magic_name__				)
								a										=							self.convert_tokens_to_ids(__magic_name__				)
								a										=							tgt_lang_id
								return inputs
							def       lowerCamelCase__							(						self						:Dict		,      __magic_name__						:List[str]		,      __magic_name__						:str = "eng_Latn"		,      __magic_name__						:Optional[List[str]] = None		,      __magic_name__						:str = "fra_Latn"		,      **__magic_name__						:List[str]		,      ):







								'''simple docstring'''







								a										=							src_lang
								a										=							tgt_lang
								return super().prepare_seqaseq_batch(__magic_name__		,      __magic_name__		,      **__magic_name__				)
							def       lowerCamelCase__							(						self						:List[str]				):







								'''simple docstring'''







								return self.set_src_lang_special_tokens(self.src_lang				)
							def       lowerCamelCase__							(						self						:Union[str, Any]				):







								'''simple docstring'''







								return self.set_tgt_lang_special_tokens(self.tgt_lang				)
							def       lowerCamelCase__							(						self						:List[Any]		,      __magic_name__						:Optional[int]				):







								'''simple docstring'''







								a										=							self.convert_tokens_to_ids(__magic_name__				)

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

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

								a										=							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						:Dict		,      __magic_name__						:str				):







								'''simple docstring'''







								a										=							self.convert_tokens_to_ids(__magic_name__				)
								if self.legacy_behaviour:
									a										=							[]
									a										=							[self.eos_token_id, self.cur_lang_code]
								else:
									a										=							[self.cur_lang_code]
									a										=							[self.eos_token_id]

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

								a										=							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						:Tuple		,      __magic_name__						:str		,      __magic_name__						:Optional[str] = None				):







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

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

								return (out_vocab_file,)







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCamelCase					:       Optional[Any]    					=      {
    "configuration_jukebox": [
        "JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "JukeboxConfig",
        "JukeboxPriorConfig",
        "JukeboxVQVAEConfig",
    ],
    "tokenization_jukebox": ["JukeboxTokenizer"],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCamelCase					:       Tuple    					=      [
		    "JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "JukeboxModel",
		    "JukeboxPreTrainedModel",
		    "JukeboxVQVAE",
		    "JukeboxPrior",
		]

if TYPE_CHECKING:
		from .configuration_jukebox import (
		    JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    JukeboxConfig,
		    JukeboxPriorConfig,
		    JukeboxVQVAEConfig,
		)
		from .tokenization_jukebox import JukeboxTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_jukebox import (
				    JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
				    JukeboxModel,
				    JukeboxPreTrainedModel,
				    JukeboxPrior,
				    JukeboxVQVAE,
				)

else:
		import sys

		__UpperCamelCase					:       List[Any]    					=      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

