
'''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:
					lowercase    :							str      =					None


lowercase    :							int      =					logging.get_logger(__name__)


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

lowercase    :							List[str]      =					{
    "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    :							List[str]      =					{
    "facebook/nllb-large-en-ro": 1024,
    "facebook/nllb-200-distilled-600M": 1024,
}

# fmt: off
lowercase    :							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 						__UpperCAmelCase      (					_lowerCamelCase						):
							__lowercase      		=       VOCAB_FILES_NAMES
							__lowercase      		=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__lowercase      		=       PRETRAINED_VOCAB_FILES_MAP
							__lowercase      		=       ['''input_ids''', '''attention_mask''']
							__lowercase      		=       NllbTokenizer

							__lowercase      		=       []
							__lowercase      		=       []


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





								"""simple docstring"""






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

								_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(SCREAMING_SNAKE_CASE__  ) 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  ):





								"""simple docstring"""






								return self._src_lang


							@src_lang.setter
							def  lowerCamelCase				(       self    ,   lowerCAmelCase_  ):





								"""simple docstring"""






								_snake_case   						=		new_src_lang
								self.set_src_lang_special_tokens(self._src_lang  )


							def  lowerCamelCase				(       self    ,   lowerCAmelCase_    ,   lowerCAmelCase_ = 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    ,   lowerCAmelCase_    ,   lowerCAmelCase_ = None  ):





								"""simple docstring"""






								_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    ,   lowerCAmelCase_    ,   lowerCAmelCase_    ,   lowerCAmelCase_    ,   lowerCAmelCase_    ,   **lowerCAmelCase_  ):





								"""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   						=		src_lang
								_snake_case   						=		self(SCREAMING_SNAKE_CASE__    ,   add_special_tokens=SCREAMING_SNAKE_CASE__    ,   return_tensors=SCREAMING_SNAKE_CASE__    ,   **SCREAMING_SNAKE_CASE__  )
								_snake_case   						=		self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__  )
								_snake_case   						=		tgt_lang_id
								return inputs


							def  lowerCamelCase				(       self    ,   lowerCAmelCase_    ,   lowerCAmelCase_ = "eng_Latn"    ,   lowerCAmelCase_ = None    ,   lowerCAmelCase_ = "fra_Latn"    ,   **lowerCAmelCase_    ,   ):





								"""simple docstring"""






								_snake_case   						=		src_lang
								_snake_case   						=		tgt_lang
								return super().prepare_seqaseq_batch(SCREAMING_SNAKE_CASE__    ,   SCREAMING_SNAKE_CASE__    ,   **SCREAMING_SNAKE_CASE__  )


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								return self.set_src_lang_special_tokens(self.src_lang  )


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								return self.set_tgt_lang_special_tokens(self.tgt_lang  )


							def  lowerCamelCase				(       self    ,   lowerCAmelCase_  ):





								"""simple docstring"""






								_snake_case   						=		self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__  )

								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    ,   lowerCAmelCase_  ):





								"""simple docstring"""






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

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

								return (out_vocab_file,)








"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase_								=		logging.get_logger(__name__)

lowerCamelCase_								=		{
    "microsoft/beit-base-patch16-224-pt22k": (
        "https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json"
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}






class 					_SCREAMING_SNAKE_CASE(   A  ):
       SCREAMING_SNAKE_CASE_   :      str							=  '''beit'''




       def __init__(						self		,SCREAMING_SNAKE_CASE__=81_92		,SCREAMING_SNAKE_CASE__=7_68		,SCREAMING_SNAKE_CASE__=12		,SCREAMING_SNAKE_CASE__=12		,SCREAMING_SNAKE_CASE__=30_72		,SCREAMING_SNAKE_CASE__="gelu"		,SCREAMING_SNAKE_CASE__=0.0		,SCREAMING_SNAKE_CASE__=0.0		,SCREAMING_SNAKE_CASE__=0.0_2		,SCREAMING_SNAKE_CASE__=1E-12		,SCREAMING_SNAKE_CASE__=2_24		,SCREAMING_SNAKE_CASE__=16		,SCREAMING_SNAKE_CASE__=3		,SCREAMING_SNAKE_CASE__=False		,SCREAMING_SNAKE_CASE__=False		,SCREAMING_SNAKE_CASE__=False		,SCREAMING_SNAKE_CASE__=False		,SCREAMING_SNAKE_CASE__=0.1		,SCREAMING_SNAKE_CASE__=0.1		,SCREAMING_SNAKE_CASE__=True		,SCREAMING_SNAKE_CASE__=[3, 5, 7, 11]		,SCREAMING_SNAKE_CASE__=[1, 2, 3, 6]		,SCREAMING_SNAKE_CASE__=True		,SCREAMING_SNAKE_CASE__=0.4		,SCREAMING_SNAKE_CASE__=2_56		,SCREAMING_SNAKE_CASE__=1		,SCREAMING_SNAKE_CASE__=False		,SCREAMING_SNAKE_CASE__=2_55		,**SCREAMING_SNAKE_CASE__		,)			->      Optional[Any]:





             """simple docstring"""






             super().__init__(**SCREAMING_SNAKE_CASE__							)

             __SCREAMING_SNAKE_CASE   :Any						=  vocab_size
             __SCREAMING_SNAKE_CASE   :Dict						=  hidden_size
             __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  num_hidden_layers
             __SCREAMING_SNAKE_CASE   :List[str]						=  num_attention_heads
             __SCREAMING_SNAKE_CASE   :Optional[Any]						=  intermediate_size
             __SCREAMING_SNAKE_CASE   :Optional[int]						=  hidden_act
             __SCREAMING_SNAKE_CASE   :Tuple						=  hidden_dropout_prob
             __SCREAMING_SNAKE_CASE   :Optional[Any]						=  attention_probs_dropout_prob
             __SCREAMING_SNAKE_CASE   :Optional[Any]						=  initializer_range
             __SCREAMING_SNAKE_CASE   :str						=  layer_norm_eps

             __SCREAMING_SNAKE_CASE   :int						=  image_size
             __SCREAMING_SNAKE_CASE   :Tuple						=  patch_size
             __SCREAMING_SNAKE_CASE   :Any						=  num_channels
             __SCREAMING_SNAKE_CASE   :Any						=  use_mask_token
             __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  use_absolute_position_embeddings
             __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  use_relative_position_bias
             __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  use_shared_relative_position_bias
             __SCREAMING_SNAKE_CASE   :List[str]						=  layer_scale_init_value
             __SCREAMING_SNAKE_CASE   :Optional[Any]						=  drop_path_rate
             __SCREAMING_SNAKE_CASE   :str						=  use_mean_pooling
             # decode head attributes (semantic segmentation)
             __SCREAMING_SNAKE_CASE   :Dict						=  out_indices
             __SCREAMING_SNAKE_CASE   :Optional[int]						=  pool_scales
             # auxiliary head attributes (semantic segmentation)
             __SCREAMING_SNAKE_CASE   :Optional[int]						=  use_auxiliary_head
             __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  auxiliary_loss_weight
             __SCREAMING_SNAKE_CASE   :Dict						=  auxiliary_channels
             __SCREAMING_SNAKE_CASE   :Optional[int]						=  auxiliary_num_convs
             __SCREAMING_SNAKE_CASE   :List[str]						=  auxiliary_concat_input
             __SCREAMING_SNAKE_CASE   :List[Any]						=  semantic_loss_ignore_index






class 					_SCREAMING_SNAKE_CASE(   A  ):
       SCREAMING_SNAKE_CASE_   :      List[Any]							=  version.parse('''1.11'''  )




       @property
       def     _UpperCamelCase     (						self							)			->      Mapping[str, Mapping[int, str]]:





             """simple docstring"""






             return OrderedDict(
                 [
                     ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
                 ]							)




       @property
       def     _UpperCamelCase     (						self							)			->      float:





             """simple docstring"""






             return 1E-4