




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[Any]			=     None


_UpperCAmelCase	:						int			=     logging.get_logger(__name__)


_UpperCAmelCase	:						Optional[int]			=     {"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

_UpperCAmelCase	:						Tuple			=     {
    "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[int]			=     {
    "facebook/nllb-large-en-ro": 1024,
    "facebook/nllb-200-distilled-600M": 1024,
}

# fmt: off
_UpperCAmelCase	:						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    __lowerCAmelCase       (							lowerCAmelCase):
       _a 					=						VOCAB_FILES_NAMES
       _a 					=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _a 					=						PRETRAINED_VOCAB_FILES_MAP
       _a 					=						['''input_ids''', '''attention_mask''']
       _a 					=						NllbTokenizer

       _a 					=						[]
       _a 					=						[]






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

         lowercase    :List[Any]      	=						vocab_file
         lowercase    :int      	=						False if not self.vocab_file else True

         lowercase    :str      	=						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    :Tuple      	=						{
             lang_code: self.convert_tokens_to_ids(_lowerCAmelCase				) for lang_code in FAIRSEQ_LANGUAGE_CODES
         }

         lowercase    :List[str]      	=						src_lang if src_lang is not None else "eng_Latn"
         lowercase    :int      	=						self.convert_tokens_to_ids(self._src_lang				)
         lowercase    :Optional[int]      	=						tgt_lang
         self.set_src_lang_special_tokens(self._src_lang				)






       @property
       def 					SCREAMING_SNAKE_CASE    (   self:					str				):
         return self._src_lang






       @src_lang.setter
       def 					SCREAMING_SNAKE_CASE    (   self:					Optional[int]       ,					_lowerCAmelCase:					str				):
         lowercase    :int      	=						new_src_lang
         self.set_src_lang_special_tokens(self._src_lang				)






       def 					SCREAMING_SNAKE_CASE    (   self:					str       ,					_lowerCAmelCase:					List[int]       ,					_lowerCAmelCase:					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 					SCREAMING_SNAKE_CASE    (   self:					Dict       ,					_lowerCAmelCase:					List[int]       ,					_lowerCAmelCase:					Optional[List[int]] = None				):
         lowercase    :List[str]      	=						[self.sep_token_id]
         lowercase    :Optional[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 					SCREAMING_SNAKE_CASE    (   self:					List[str]       ,					_lowerCAmelCase:					Optional[Any]       ,					_lowerCAmelCase:					str       ,					_lowerCAmelCase:					Optional[str]       ,					_lowerCAmelCase:					Optional[str]       ,					**_lowerCAmelCase:					List[Any]				):
         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    :Dict      	=						src_lang
         lowercase    :Union[str, Any]      	=						self(_lowerCAmelCase       ,					add_special_tokens=_lowerCAmelCase       ,					return_tensors=_lowerCAmelCase       ,					**_lowerCAmelCase				)
         lowercase    :Optional[Any]      	=						self.convert_tokens_to_ids(_lowerCAmelCase				)
         lowercase    :Tuple      	=						tgt_lang_id
         return inputs






       def 					SCREAMING_SNAKE_CASE    (   self:					Dict       ,					_lowerCAmelCase:					List[str]       ,					_lowerCAmelCase:					str = "eng_Latn"       ,					_lowerCAmelCase:					Optional[List[str]] = None       ,					_lowerCAmelCase:					str = "fra_Latn"       ,					**_lowerCAmelCase:					Optional[int]       ,					):
         lowercase    :Optional[int]      	=						src_lang
         lowercase    :Optional[int]      	=						tgt_lang
         return super().prepare_seqaseq_batch(_lowerCAmelCase       ,					_lowerCAmelCase       ,					**_lowerCAmelCase				)






       def 					SCREAMING_SNAKE_CASE    (   self:					List[str]				):
         return self.set_src_lang_special_tokens(self.src_lang				)






       def 					SCREAMING_SNAKE_CASE    (   self:					Any				):
         return self.set_tgt_lang_special_tokens(self.tgt_lang				)






       def 					SCREAMING_SNAKE_CASE    (   self:					List[str]       ,					_lowerCAmelCase:					Optional[int]				):
         lowercase    :Tuple      	=						self.convert_tokens_to_ids(_lowerCAmelCase				)

         if self.legacy_behaviour:
           lowercase    :Union[str, Any]      	=						[]
           lowercase    :List[Any]      	=						[self.eos_token_id, self.cur_lang_code]
         else:
           lowercase    :Optional[Any]      	=						[self.cur_lang_code]
           lowercase    :Any      	=						[self.eos_token_id]

         lowercase    :Tuple      	=						self.convert_ids_to_tokens(self.prefix_tokens				)
         lowercase    :int      	=						self.convert_ids_to_tokens(self.suffix_tokens				)

         lowercase    :Union[str, Any]      	=						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 					SCREAMING_SNAKE_CASE    (   self:					Union[str, Any]       ,					_lowerCAmelCase:					str				):
         lowercase    :Optional[Any]      	=						self.convert_tokens_to_ids(_lowerCAmelCase				)
         if self.legacy_behaviour:
           lowercase    :Dict      	=						[]
           lowercase    :List[Any]      	=						[self.eos_token_id, self.cur_lang_code]
         else:
           lowercase    :Tuple      	=						[self.cur_lang_code]
           lowercase    :List[str]      	=						[self.eos_token_id]

         lowercase    :Tuple      	=						self.convert_ids_to_tokens(self.prefix_tokens				)
         lowercase    :int      	=						self.convert_ids_to_tokens(self.suffix_tokens				)

         lowercase    :Tuple      	=						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 					SCREAMING_SNAKE_CASE    (   self:					Tuple       ,					_lowerCAmelCase:					str       ,					_lowerCAmelCase:					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(_lowerCAmelCase				):
           logger.error(F"Vocabulary path ({save_directory}) should be a directory."				)
           return
         lowercase    :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				):
           copyfile(self.vocab_file       ,					_lowerCAmelCase				)

         return (out_vocab_file,)









import string



def       UpperCAmelCase__  (     lowerCamelCase   ):
  lowercase    :Optional[int]      	=						""
  for i in sequence:
    lowercase    :Optional[Any]      	=						ord(lowerCamelCase   )
    if 65 <= extract <= 90:
      output += chr(155 - extract   )
    elif 97 <= extract <= 122:
      output += chr(219 - extract   )
    else:
      output += i
  return output



def       UpperCAmelCase__  (     lowerCamelCase   ):
  lowercase    :Union[str, Any]      	=						string.ascii_letters
  lowercase    :Dict      	=						string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
  return "".join(
      letters_reversed[letters.index(lowerCamelCase   )] if c in letters else c for c in sequence   )



def       UpperCAmelCase__  (     ):
  from timeit import timeit

  print("Running performance benchmarks..."   )
  lowercase    :Dict      	=						"from string import printable ; from __main__ import atbash, atbash_slow"
  print(F"> atbash_slow(): {timeit('atbash_slow(printable)',			setup=lowerCamelCase   )} seconds"   )
  print(F">      atbash(): {timeit('atbash(printable)',			setup=lowerCamelCase   )} seconds"   )


if __name__ == "__main__":
     for example in ("ABCDEFGH", "123GGjj", "testStringtest", "with space"):
          print(f'''{example} encrypted in atbash: {atbash(example)}''')
     benchmark()



