






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					:		Optional[int]	  =						None


__UpperCamelCase					:		Tuple	  =						logging.get_logger(__name__)


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

__UpperCamelCase					:		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"""
        ),
    },
}

__UpperCamelCase					:		Optional[Any]	  =						{
    """facebook/nllb-large-en-ro""": 1024,
    """facebook/nllb-200-distilled-600M""": 1024,
}

# fmt: off
__UpperCamelCase					:		Optional[Any]	  =						["""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   __SCREAMING_SNAKE_CASE(	a_	):
							_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:      List[Any]       ,	UpperCamelCase:      Dict=None       ,	UpperCamelCase:      List[Any]=None       ,	UpperCamelCase:      str="<s>"       ,	UpperCamelCase:      int="</s>"       ,	UpperCamelCase:      List[str]="</s>"       ,	UpperCamelCase:      Optional[int]="<s>"       ,	UpperCamelCase:      Union[str, Any]="<unk>"       ,	UpperCamelCase:      int="<pad>"       ,	UpperCamelCase:      List[str]="<mask>"       ,	UpperCamelCase:      Tuple=None       ,	UpperCamelCase:      Union[str, Any]=None       ,	UpperCamelCase:      Optional[Any]=None       ,	UpperCamelCase:      List[str]=False       ,	**UpperCamelCase:      Optional[int]       ,	)		->		Union[str, Any]:
											# Mask token behave like a normal word, i.e. include the space before it
											snake_case__									=     AddedToken(UpperCamelCase       ,	lstrip=UpperCamelCase       ,	rstrip=UpperCamelCase						) if isinstance(UpperCamelCase       ,	UpperCamelCase						) else mask_token
											snake_case__									=     legacy_behaviour
											super().__init__(
											    vocab_file=UpperCamelCase       ,	tokenizer_file=UpperCamelCase       ,	bos_token=UpperCamelCase       ,	eos_token=UpperCamelCase       ,	sep_token=UpperCamelCase       ,	cls_token=UpperCamelCase       ,	unk_token=UpperCamelCase       ,	pad_token=UpperCamelCase       ,	mask_token=UpperCamelCase       ,	src_lang=UpperCamelCase       ,	tgt_lang=UpperCamelCase       ,	additional_special_tokens=UpperCamelCase       ,	legacy_behaviour=UpperCamelCase       ,	**UpperCamelCase       ,	)

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

											snake_case__									=     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__									=     {
											    lang_code: self.convert_tokens_to_ids(UpperCamelCase						) for lang_code in FAIRSEQ_LANGUAGE_CODES
											}

											snake_case__									=     src_lang if src_lang is not None else 'eng_Latn'
											snake_case__									=     self.convert_tokens_to_ids(self._src_lang						)
											snake_case__									=     tgt_lang
											self.set_src_lang_special_tokens(self._src_lang						)
							@property
							def lowerCAmelCase_ (     self:      int						)		->		str:
											return self._src_lang
							@src_lang.setter
							def lowerCAmelCase_ (     self:      Dict       ,	UpperCamelCase:      str						)		->		None:
											snake_case__									=     new_src_lang
											self.set_src_lang_special_tokens(self._src_lang						)
							def lowerCAmelCase_ (     self:      Union[str, Any]       ,	UpperCamelCase:      List[int]       ,	UpperCamelCase:      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 lowerCAmelCase_ (     self:      str       ,	UpperCamelCase:      List[int]       ,	UpperCamelCase:      Optional[List[int]] = None						)		->		List[int]:
											snake_case__									=     [self.sep_token_id]
											snake_case__									=     [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]       ,	UpperCamelCase:      List[Any]       ,	UpperCamelCase:      str       ,	UpperCamelCase:      Optional[str]       ,	UpperCamelCase:      Optional[str]       ,	**UpperCamelCase:      Dict						)		->		Tuple:
											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__									=     src_lang
											snake_case__									=     self(UpperCamelCase       ,	add_special_tokens=UpperCamelCase       ,	return_tensors=UpperCamelCase       ,	**UpperCamelCase						)
											snake_case__									=     self.convert_tokens_to_ids(UpperCamelCase						)
											snake_case__									=     tgt_lang_id
											return inputs
							def lowerCAmelCase_ (     self:      Any       ,	UpperCamelCase:      List[str]       ,	UpperCamelCase:      str = "eng_Latn"       ,	UpperCamelCase:      Optional[List[str]] = None       ,	UpperCamelCase:      str = "fra_Latn"       ,	**UpperCamelCase:      Dict       ,	)		->		BatchEncoding:
											snake_case__									=     src_lang
											snake_case__									=     tgt_lang
											return super().prepare_seqaseq_batch(UpperCamelCase       ,	UpperCamelCase       ,	**UpperCamelCase						)
							def lowerCAmelCase_ (     self:      Union[str, Any]						)		->		Optional[int]:
											return self.set_src_lang_special_tokens(self.src_lang						)
							def lowerCAmelCase_ (     self:      List[Any]						)		->		int:
											return self.set_tgt_lang_special_tokens(self.tgt_lang						)
							def lowerCAmelCase_ (     self:      List[str]       ,	UpperCamelCase:      List[str]						)		->		None:
											snake_case__									=     self.convert_tokens_to_ids(UpperCamelCase						)

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

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

											snake_case__									=     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:      Optional[Any]       ,	UpperCamelCase:      str						)		->		None:
											snake_case__									=     self.convert_tokens_to_ids(UpperCamelCase						)
											if self.legacy_behaviour:
															snake_case__									=     []
															snake_case__									=     [self.eos_token_id, self.cur_lang_code]
											else:
															snake_case__									=     [self.cur_lang_code]
															snake_case__									=     [self.eos_token_id]

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

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

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

											return (out_vocab_file,)








from argparse import ArgumentParser

from .env import EnvironmentCommand
def      a_ (      )			->			Optional[Any]:







				"""simple docstring"""
				snake_case__									=     ArgumentParser('Diffusers CLI tool'      ,   usage='diffusers-cli <command> [<args>]'  )
				snake_case__									=     parser.add_subparsers(help='diffusers-cli command helpers'  )

				# Register commands
				EnvironmentCommand.register_subcommand(_A  )

				# Let's go
				snake_case__									=     parser.parse_args()

				if not hasattr(_A      ,   'func'  ):
								parser.print_help()
								exit(1  )

				# Run
				snake_case__									=     args.func(_A  )
				service.run()


if __name__ == "__main__":
							main()




