



'''simple docstring'''




import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging


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

UpperCamelCase__ :			Any												=				'''▁'''

UpperCamelCase__ :			Optional[Any]												=				{'''vocab_file''': '''sentencepiece.bpe.model'''}

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

UpperCamelCase__ :			str												=				{
    '''facebook/nllb-200-distilled-600M''': 10_24,
}

# fmt: off
UpperCamelCase__ :			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 		_UpperCamelCase						(							lowerCamelCase__					):


			'''simple docstring'''

			_A   :	List[str]    					=	VOCAB_FILES_NAMES
			_A   :	List[Any]    					=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_A   :	int    					=	PRETRAINED_VOCAB_FILES_MAP
			_A   :	str    					=	['''input_ids''', '''attention_mask''']

			_A   :	List[int]    					=	[]
			_A   :	List[int]    					=	[]

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





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	List[Any]					 =	AddedToken(lowerCAmelCase__							,  lstrip=lowerCAmelCase__							,  rstrip=lowerCAmelCase__		) if isinstance(lowerCAmelCase__							,  lowerCAmelCase__		) else mask_token

					__SCREAMING_SNAKE_CASE :	Tuple					 =	{} if sp_model_kwargs is None else sp_model_kwargs
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	legacy_behaviour

					super().__init__(
					    bos_token=lowerCAmelCase__							,  eos_token=lowerCAmelCase__							,  unk_token=lowerCAmelCase__							,  sep_token=lowerCAmelCase__							,  cls_token=lowerCAmelCase__							,  pad_token=lowerCAmelCase__							,  mask_token=lowerCAmelCase__							,  tokenizer_file=lowerCAmelCase__							,  src_lang=lowerCAmelCase__							,  tgt_lang=lowerCAmelCase__							,  additional_special_tokens=lowerCAmelCase__							,  sp_model_kwargs=self.sp_model_kwargs							,  legacy_behaviour=lowerCAmelCase__							,  **lowerCAmelCase__							,  )

					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	spm.SentencePieceProcessor(**self.sp_model_kwargs		)
					self.sp_model.Load(str(lowerCAmelCase__		)		)
					__SCREAMING_SNAKE_CASE :	Any					 =	vocab_file
					# Original fairseq vocab and spm vocab must be "aligned":
					# Vocab    |    0    |    1    |   2    |    3    |  4   |  5   |  6   |   7  |   8  |  9
					# -------- | ------- | ------- | ------ | ------- | ---- | ---- | ---- | ---- | ---- | ----
					# fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | 'an' | '▁n' | '▁m' | '▁t' | '▁k' | '▁a'
					# spm      | '<unk>' | '<s>'   | '</s>' | 'an'    | '▁n' | '▁m' | '▁t' | '▁k' | '▁a' | '▁s'

					# Mimic fairseq token-to-id alignment for the first 4 token
					__SCREAMING_SNAKE_CASE :	Any					 =	{"""<s>""": 0, """<pad>""": 1, """</s>""": 2, """<unk>""": 3}

					# The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
					__SCREAMING_SNAKE_CASE :	Tuple					 =	1

					__SCREAMING_SNAKE_CASE :	int					 =	len(self.sp_model		)
					__SCREAMING_SNAKE_CASE :	Tuple					 =	{
					    code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(lowerCAmelCase__		)
					}
					__SCREAMING_SNAKE_CASE :	List[str]					 =	{v: k for k, v in self.lang_code_to_id.items()}
					__SCREAMING_SNAKE_CASE :	Dict					 =	len(self.sp_model		) + len(self.lang_code_to_id		) + self.fairseq_offset

					self.fairseq_tokens_to_ids.update(self.lang_code_to_id		)
					__SCREAMING_SNAKE_CASE :	int					 =	{v: k for k, v in self.fairseq_tokens_to_ids.items()}
					__SCREAMING_SNAKE_CASE :	int					 =	list(self.lang_code_to_id.keys()		)

					if additional_special_tokens is not None:
							# Only add those special tokens if they are not already there.
							self._additional_special_tokens.extend(
							    [t for t in additional_special_tokens if t not in self._additional_special_tokens]		)

					__SCREAMING_SNAKE_CASE :	str					 =	src_lang if src_lang is not None else """eng_Latn"""
					__SCREAMING_SNAKE_CASE :	Tuple					 =	self.lang_code_to_id[self._src_lang]
					__SCREAMING_SNAKE_CASE :	Dict					 =	tgt_lang
					self.set_src_lang_special_tokens(self._src_lang		)

			def __getstate__(							self  :				Tuple		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	self.__dict__.copy()
					__SCREAMING_SNAKE_CASE :	Tuple					 =	None
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	self.sp_model.serialized_model_proto()
					return state

			def __setstate__(							self  :				Tuple							,  lowerCAmelCase__  :				Tuple		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Dict					 =	d

					# for backward compatibility
					if not hasattr(self							,  """sp_model_kwargs"""		):
							__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	{}

					__SCREAMING_SNAKE_CASE :	int					 =	spm.SentencePieceProcessor(**self.sp_model_kwargs		)
					self.sp_model.LoadFromSerializedProto(self.sp_model_proto		)

			@property
			def UpperCamelCase__      (							self  :				List[str]		):





					"""simple docstring"""






					return len(self.sp_model		) + len(self.lang_code_to_id		) + self.fairseq_offset + 1  # Plus 1 for the mask token

			@property
			def UpperCamelCase__      (							self  :				Union[str, Any]		):





					"""simple docstring"""






					return self._src_lang

			@src_lang.setter
			def UpperCamelCase__      (							self  :				int							,  lowerCAmelCase__  :				str		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	new_src_lang
					self.set_src_lang_special_tokens(self._src_lang		)

			def UpperCamelCase__      (							self  :				Optional[int]							,  lowerCAmelCase__  :				List[int]							,  lowerCAmelCase__  :				Optional[List[int]] = None							,  lowerCAmelCase__  :				bool = False		):





					"""simple docstring"""






					if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=lowerCAmelCase__							,  token_ids_a=lowerCAmelCase__							,  already_has_special_tokens=lowerCAmelCase__		)

					__SCREAMING_SNAKE_CASE :	str					 =	[1] * len(self.prefix_tokens		)
					__SCREAMING_SNAKE_CASE :	str					 =	[1] * len(self.suffix_tokens		)
					if token_ids_a is None:
							return prefix_ones + ([0] * len(lowerCAmelCase__		)) + suffix_ones
					return prefix_ones + ([0] * len(lowerCAmelCase__		)) + ([0] * len(lowerCAmelCase__		)) + suffix_ones

			def UpperCamelCase__      (							self  :				List[Any]							,  lowerCAmelCase__  :				List[int]							,  lowerCAmelCase__  :				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 UpperCamelCase__      (							self  :				Tuple							,  lowerCAmelCase__  :				List[int]							,  lowerCAmelCase__  :				Optional[List[int]] = None		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	List[str]					 =	[self.sep_token_id]
					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	[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  :				int							,  lowerCAmelCase__  :				Any							,  lowerCAmelCase__  :				str							,  lowerCAmelCase__  :				Optional[str]							,  lowerCAmelCase__  :				Optional[str]							,  **lowerCAmelCase__  :				Optional[int]		):





					"""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"""		)
					__SCREAMING_SNAKE_CASE :	Tuple					 =	src_lang
					__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	self(lowerCAmelCase__							,  add_special_tokens=lowerCAmelCase__							,  return_tensors=lowerCAmelCase__							,  **lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	str					 =	self.convert_tokens_to_ids(lowerCAmelCase__		)
					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	tgt_lang_id
					return inputs

			def UpperCamelCase__      (							self  :				str		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	{self.convert_ids_to_tokens(lowerCAmelCase__		): i for i in range(self.vocab_size		)}
					vocab.update(self.added_tokens_encoder		)
					return vocab

			def UpperCamelCase__      (							self  :				Tuple							,  lowerCAmelCase__  :				str		):





					"""simple docstring"""






					return self.sp_model.encode(lowerCAmelCase__							,  out_type=lowerCAmelCase__		)

			def UpperCamelCase__      (							self  :				List[str]							,  lowerCAmelCase__  :				List[Any]		):





					"""simple docstring"""






					if token in self.fairseq_tokens_to_ids:
							return self.fairseq_tokens_to_ids[token]
					__SCREAMING_SNAKE_CASE :	List[str]					 =	self.sp_model.PieceToId(lowerCAmelCase__		)

					# Need to return unknown token if the SP model returned 0
					return spm_id + self.fairseq_offset if spm_id else self.unk_token_id

			def UpperCamelCase__      (							self  :				Optional[int]							,  lowerCAmelCase__  :				List[str]		):





					"""simple docstring"""






					if index in self.fairseq_ids_to_tokens:
							return self.fairseq_ids_to_tokens[index]
					return self.sp_model.IdToPiece(index - self.fairseq_offset		)

			def UpperCamelCase__      (							self  :				Union[str, Any]							,  lowerCAmelCase__  :				Optional[int]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	str					 =	"""""".join(lowerCAmelCase__		).replace(lowerCAmelCase__							,  """ """		).strip()
					return out_string

			def UpperCamelCase__      (							self  :				List[Any]							,  lowerCAmelCase__  :				str							,  lowerCAmelCase__  :				Optional[str] = None		):





					"""simple docstring"""






					if not os.path.isdir(lowerCAmelCase__		):
							logger.error(F"Vocabulary path ({save_directory}) should be a directory"		)
							return
					__SCREAMING_SNAKE_CASE :	List[str]					 =	os.path.join(
					    lowerCAmelCase__							,  (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]		)

					if os.path.abspath(self.vocab_file		) != os.path.abspath(lowerCAmelCase__		) and os.path.isfile(self.vocab_file		):
							copyfile(self.vocab_file							,  lowerCAmelCase__		)
					elif not os.path.isfile(self.vocab_file		):
							with open(lowerCAmelCase__							,  """wb"""		) as fi:
									__SCREAMING_SNAKE_CASE :	Any					 =	self.sp_model.serialized_model_proto()
									fi.write(lowerCAmelCase__		)

					return (out_vocab_file,)

			def UpperCamelCase__      (							self  :				str							,  lowerCAmelCase__  :				List[str]							,  lowerCAmelCase__  :				str = "eng_Latn"							,  lowerCAmelCase__  :				Optional[List[str]] = None							,  lowerCAmelCase__  :				str = "fra_Latn"							,  **lowerCAmelCase__  :				Optional[int]							,  ):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Tuple					 =	src_lang
					__SCREAMING_SNAKE_CASE :	Optional[int]					 =	tgt_lang
					return super().prepare_seqaseq_batch(lowerCAmelCase__							,  lowerCAmelCase__							,  **lowerCAmelCase__		)

			def UpperCamelCase__      (							self  :				Union[str, Any]		):





					"""simple docstring"""






					return self.set_src_lang_special_tokens(self.src_lang		)

			def UpperCamelCase__      (							self  :				str		):





					"""simple docstring"""






					return self.set_tgt_lang_special_tokens(self.tgt_lang		)

			def UpperCamelCase__      (							self  :				Dict							,  lowerCAmelCase__  :				List[Any]		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	self.lang_code_to_id[src_lang]
					if self.legacy_behaviour:
							__SCREAMING_SNAKE_CASE :	Dict					 =	[]
							__SCREAMING_SNAKE_CASE :	int					 =	[self.eos_token_id, self.cur_lang_code]
					else:
							__SCREAMING_SNAKE_CASE :	Tuple					 =	[self.cur_lang_code]
							__SCREAMING_SNAKE_CASE :	str					 =	[self.eos_token_id]



			def UpperCamelCase__      (							self  :				Tuple							,  lowerCAmelCase__  :				str		):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE :	str					 =	self.lang_code_to_id[lang]
					if self.legacy_behaviour:
							__SCREAMING_SNAKE_CASE :	Optional[int]					 =	[]
							__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	[self.eos_token_id, self.cur_lang_code]
					else:
							__SCREAMING_SNAKE_CASE :	Tuple					 =	[self.cur_lang_code]
							__SCREAMING_SNAKE_CASE :	List[str]					 =	[self.eos_token_id]




'''simple docstring'''




from ..utils import DummyObject, requires_backends






class 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Union[str, Any]    					=	['''torch''', '''transformers''', '''onnx''']

			def __init__(							self  :				Optional[int]							,  *lowerCAmelCase__  :				Optional[Any]							,  **lowerCAmelCase__  :				int		):





					"""simple docstring"""






					requires_backends(self							,  ["""torch""", """transformers""", """onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				Tuple							,  *lowerCAmelCase__  :				Union[str, Any]							,  **lowerCAmelCase__  :				Optional[int]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				str							,  *lowerCAmelCase__  :				int							,  **lowerCAmelCase__  :				Optional[Any]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)






class 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Dict    					=	['''torch''', '''transformers''', '''onnx''']

			def __init__(							self  :				str							,  *lowerCAmelCase__  :				str							,  **lowerCAmelCase__  :				List[str]		):





					"""simple docstring"""






					requires_backends(self							,  ["""torch""", """transformers""", """onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				Optional[Any]							,  *lowerCAmelCase__  :				Dict							,  **lowerCAmelCase__  :				Dict		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				str							,  *lowerCAmelCase__  :				List[str]							,  **lowerCAmelCase__  :				str		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)






class 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Tuple    					=	['''torch''', '''transformers''', '''onnx''']

			def __init__(							self  :				str							,  *lowerCAmelCase__  :				List[str]							,  **lowerCAmelCase__  :				Dict		):





					"""simple docstring"""






					requires_backends(self							,  ["""torch""", """transformers""", """onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				Any							,  *lowerCAmelCase__  :				Tuple							,  **lowerCAmelCase__  :				Any		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				List[str]							,  *lowerCAmelCase__  :				Union[str, Any]							,  **lowerCAmelCase__  :				Dict		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)






class 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Optional[int]    					=	['''torch''', '''transformers''', '''onnx''']

			def __init__(							self  :				Optional[int]							,  *lowerCAmelCase__  :				Dict							,  **lowerCAmelCase__  :				List[Any]		):





					"""simple docstring"""






					requires_backends(self							,  ["""torch""", """transformers""", """onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				Any							,  *lowerCAmelCase__  :				List[Any]							,  **lowerCAmelCase__  :				List[str]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				List[str]							,  *lowerCAmelCase__  :				str							,  **lowerCAmelCase__  :				Optional[int]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)






class 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Union[str, Any]    					=	['''torch''', '''transformers''', '''onnx''']

			def __init__(							self  :				Optional[int]							,  *lowerCAmelCase__  :				int							,  **lowerCAmelCase__  :				List[str]		):





					"""simple docstring"""






					requires_backends(self							,  ["""torch""", """transformers""", """onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				List[str]							,  *lowerCAmelCase__  :				int							,  **lowerCAmelCase__  :				int		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				str							,  *lowerCAmelCase__  :				int							,  **lowerCAmelCase__  :				List[Any]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)






class 		_UpperCamelCase						(							metaclass=lowerCamelCase__					):


			'''simple docstring'''

			_A   :	Optional[Any]    					=	['''torch''', '''transformers''', '''onnx''']

			def __init__(							self  :				Optional[int]							,  *lowerCAmelCase__  :				Tuple							,  **lowerCAmelCase__  :				List[str]		):





					"""simple docstring"""






					requires_backends(self							,  ["""torch""", """transformers""", """onnx"""]		)

			@classmethod
			def UpperCamelCase__      (							cls  :				Tuple							,  *lowerCAmelCase__  :				Dict							,  **lowerCAmelCase__  :				List[Any]		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)



			@classmethod
			def UpperCamelCase__      (							cls  :				List[str]							,  *lowerCAmelCase__  :				Dict							,  **lowerCAmelCase__  :				Tuple		):





					"""simple docstring"""






					requires_backends(cls							,  ["""torch""", """transformers""", """onnx"""]		)