



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:
							lowercase_								=     None


lowercase_								=     logging.get_logger(__name__)


lowercase_								=     {"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

lowercase_								=     {
    """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"""
        ),
    },
}

lowercase_								=     {
    """facebook/nllb-large-en-ro""": 1024,
    """facebook/nllb-200-distilled-600M""": 1024,
}

# fmt: off
lowercase_								=     ["""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 				_snake_case			(					lowercase__):
				UpperCamelCase__				:					str     		=VOCAB_FILES_NAMES
				UpperCamelCase__				:					int     		=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCamelCase__				:					Tuple     		=PRETRAINED_VOCAB_FILES_MAP
				UpperCamelCase__				:					Optional[int]     		=["""input_ids""", """attention_mask"""]
				UpperCamelCase__				:					Optional[int]     		=NllbTokenizer

				UpperCamelCase__				:					List[int]     		=[]
				UpperCamelCase__				:					List[int]     		=[]




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

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

							lowercase__					  =				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}						)
							lowercase__					  =				{
							    lang_code: self.convert_tokens_to_ids(__lowercase						) for lang_code in FAIRSEQ_LANGUAGE_CODES
							}

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




				@property
				def 							A__      (						self					:						Optional[Any]						):
							return self._src_lang




				@src_lang.setter
				def 							A__      (						self					:						Optional[Any],					__lowercase					:						str						):
							lowercase__					  =				new_src_lang
							self.set_src_lang_special_tokens(self._src_lang						)




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




				def 							A__      (						self					:						str,					__lowercase					:						List[str],					__lowercase					:						str = "eng_Latn",					__lowercase					:						Optional[List[str]] = None,					__lowercase					:						str = "fra_Latn",					**__lowercase					:						Dict,					):
							lowercase__					  =				src_lang
							lowercase__					  =				tgt_lang
							return super().prepare_seqaseq_batch(__lowercase,					__lowercase,					**__lowercase						)




				def 							A__      (						self					:						Any						):
							return self.set_src_lang_special_tokens(self.src_lang						)




				def 							A__      (						self					:						Tuple						):
							return self.set_tgt_lang_special_tokens(self.tgt_lang						)




				def 							A__      (						self					:						Dict,					__lowercase					:						Any						):
							lowercase__					  =				self.convert_tokens_to_ids(__lowercase						)

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

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

							lowercase__					  =				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 							A__      (						self					:						Any,					__lowercase					:						str						):
							lowercase__					  =				self.convert_tokens_to_ids(__lowercase						)
							if self.legacy_behaviour:
										lowercase__					  =				[]
										lowercase__					  =				[self.eos_token_id, self.cur_lang_code]
							else:
										lowercase__					  =				[self.cur_lang_code]
										lowercase__					  =				[self.eos_token_id]

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

							lowercase__					  =				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 							A__      (						self					:						Optional[int],					__lowercase					:						str,					__lowercase					:						Optional[str] = None						):
							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
							lowercase__					  =				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,)









from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments



def __lowerCAmelCase (     ):
			lowercase__					  =				HfArgumentParser(SCREAMING_SNAKE_CASE_  )
			lowercase__					  =				parser.parse_args_into_dataclasses()[0]
			lowercase__					  =				TensorFlowBenchmark(args=SCREAMING_SNAKE_CASE_  )
			try:
						lowercase__					  =				parser.parse_args_into_dataclasses()[0]
			except ValueError as e:
						lowercase__					  =				"Arg --no_{0} is no longer used, please use --no-{0} instead."
						lowercase__					  =				" ".join(str(SCREAMING_SNAKE_CASE_  ).split(" "  )[:-1]  )
						lowercase__					  =				""
						lowercase__					  =				eval(str(SCREAMING_SNAKE_CASE_  ).split(" "  )[-1]  )
						lowercase__					  =				[]
						for arg in depreciated_args:
									# arg[2:] removes '--'
									if arg[2:] in TensorFlowBenchmark.deprecated_args:
												# arg[5:] removes '--no_'
												full_error_msg += arg_error_msg.format(arg[5:]  )
									else:
												wrong_args.append(SCREAMING_SNAKE_CASE_  )
						if len(SCREAMING_SNAKE_CASE_  ) > 0:
									lowercase__					  =				full_error_msg + begin_error_msg + str(SCREAMING_SNAKE_CASE_  )
						raise ValueError(SCREAMING_SNAKE_CASE_  )
			benchmark.run()


if __name__ == "__main__":
							main()




