





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


a_    :						Optional[int]    		=      logging.get_logger(__name__)

a_    :						Dict    		=      "▁"

a_    :						str    		=      {"vocab_file": "sentencepiece.bpe.model"}

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

a_    :						str    		=      {
    "facebook/nllb-200-distilled-600M": 1024,
}

# fmt: off
a_    :						Dict    		=      ["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 (     _UpperCAmelCase   ):
    __UpperCamelCase         =VOCAB_FILES_NAMES
    __UpperCamelCase         =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __UpperCamelCase         =PRETRAINED_VOCAB_FILES_MAP
    __UpperCamelCase         =["input_ids", "attention_mask"]

    __UpperCamelCase         =[]
    __UpperCamelCase         =[]

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

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			AddedToken(lowercase__							,    lstrip=lowercase__							,    rstrip=lowercase__    ) if isinstance(lowercase__							,    lowercase__    ) else mask_token

     SCREAMING_SNAKE_CASE								=			{} if sp_model_kwargs is None else sp_model_kwargs
     SCREAMING_SNAKE_CASE								=			legacy_behaviour

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

     SCREAMING_SNAKE_CASE								=			spm.SentencePieceProcessor(**self.sp_model_kwargs    )
     self.sp_model.Load(str(lowercase__    )    )
     SCREAMING_SNAKE_CASE								=			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								=			{"<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								=			1

     SCREAMING_SNAKE_CASE								=			len(self.sp_model    )
     SCREAMING_SNAKE_CASE								=			{
         code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(lowercase__    )
     }
     SCREAMING_SNAKE_CASE								=			{v: k for k, v in self.lang_code_to_id.items()}
     SCREAMING_SNAKE_CASE								=			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								=			{v: k for k, v in self.fairseq_tokens_to_ids.items()}
     SCREAMING_SNAKE_CASE								=			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								=			src_lang if src_lang is not None else "eng_Latn"
     SCREAMING_SNAKE_CASE								=			self.lang_code_to_id[self._src_lang]
     SCREAMING_SNAKE_CASE								=			tgt_lang
     self.set_src_lang_special_tokens(self._src_lang    )

    def __getstate__(			self :      List[Any]    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			self.__dict__.copy()
     SCREAMING_SNAKE_CASE								=			None
     SCREAMING_SNAKE_CASE								=			self.sp_model.serialized_model_proto()
     return state

    def __setstate__(			self :      List[str]							,    snake_case__ :      int    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			d

     # for backward compatibility
     if not hasattr(self							,    'sp_model_kwargs'    ):
      SCREAMING_SNAKE_CASE								=			{}

     SCREAMING_SNAKE_CASE								=			spm.SentencePieceProcessor(**self.sp_model_kwargs    )
     self.sp_model.LoadFromSerializedProto(self.sp_model_proto    )

    @property
    def UpperCamelCase			(			self :      Any    ):

     """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 :      Optional[Any]    ):

     """simple docstring"""






     return self._src_lang

    @src_lang.setter
    def UpperCamelCase			(			self :      Tuple							,    snake_case__ :      Union[str, Any]    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			new_src_lang
     self.set_src_lang_special_tokens(self._src_lang    )

    def UpperCamelCase			(			self :      Optional[Any]							,    snake_case__ :      List[Any]							,    snake_case__ :      Tuple = None							,    snake_case__ :      Optional[Any] = False    ):

     """simple docstring"""






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

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

    def UpperCamelCase			(			self :      Any							,    snake_case__ :      List[str]							,    snake_case__ :      Tuple = 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 :      int							,    snake_case__ :      List[Any]							,    snake_case__ :      Optional[int] = None    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			[self.sep_token_id]
     SCREAMING_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 UpperCamelCase			(			self :      Union[str, Any]							,    snake_case__ :      List[str]							,    snake_case__ :      List[Any]							,    snake_case__ :      Tuple							,    snake_case__ :      Union[str, Any]							,    **snake_case__ :      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								=			src_lang
     SCREAMING_SNAKE_CASE								=			self(lowercase__							,    add_special_tokens=lowercase__							,    return_tensors=lowercase__							,    **lowercase__    )
     SCREAMING_SNAKE_CASE								=			self.convert_tokens_to_ids(lowercase__    )
     SCREAMING_SNAKE_CASE								=			tgt_lang_id
     return inputs

    def UpperCamelCase			(			self :      List[str]    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			{self.convert_ids_to_tokens(lowercase__    ): i for i in range(self.vocab_size    )}
     vocab.update(self.added_tokens_encoder    )
     return vocab

    def UpperCamelCase			(			self :      Dict							,    snake_case__ :      Dict    ):

     """simple docstring"""






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

    def UpperCamelCase			(			self :      Union[str, Any]							,    snake_case__ :      int    ):

     """simple docstring"""






     if token in self.fairseq_tokens_to_ids:
      return self.fairseq_tokens_to_ids[token]
     SCREAMING_SNAKE_CASE								=			self.sp_model.PieceToId(lowercase__    )

     # 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 :      List[str]							,    snake_case__ :      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 :      Optional[int]							,    snake_case__ :      Optional[int]    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			"".join(lowercase__    ).replace(lowercase__							,    ' '    ).strip()
     return out_string

    def UpperCamelCase			(			self :      Any							,    snake_case__ :      Tuple							,    snake_case__ :      List[Any] = None    ):

     """simple docstring"""






     if not os.path.isdir(lowercase__    ):
      logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""    )
      return
     SCREAMING_SNAKE_CASE								=			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__    ) and os.path.isfile(self.vocab_file    ):
      copyfile(self.vocab_file							,    lowercase__    )
     elif not os.path.isfile(self.vocab_file    ):
      with open(lowercase__							,    'wb'    ) as fi:
       SCREAMING_SNAKE_CASE								=			self.sp_model.serialized_model_proto()
       fi.write(lowercase__    )

     return (out_vocab_file,)

    def UpperCamelCase			(			self :      Any							,    snake_case__ :      List[Any]							,    snake_case__ :      Optional[int] = "eng_Latn"							,    snake_case__ :      Dict = None							,    snake_case__ :      Union[str, Any] = "fra_Latn"							,    **snake_case__ :      List[Any]							,    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			src_lang
     SCREAMING_SNAKE_CASE								=			tgt_lang
     return super().prepare_seqaseq_batch(lowercase__							,    lowercase__							,    **lowercase__    )

    def UpperCamelCase			(			self :      List[str]    ):

     """simple docstring"""






     return self.set_src_lang_special_tokens(self.src_lang    )

    def UpperCamelCase			(			self :      Any    ):

     """simple docstring"""






     return self.set_tgt_lang_special_tokens(self.tgt_lang    )

    def UpperCamelCase			(			self :      List[Any]							,    snake_case__ :      Tuple    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			self.lang_code_to_id[src_lang]
     if self.legacy_behaviour:
      SCREAMING_SNAKE_CASE								=			[]
      SCREAMING_SNAKE_CASE								=			[self.eos_token_id, self.cur_lang_code]
     else:
      SCREAMING_SNAKE_CASE								=			[self.cur_lang_code]
      SCREAMING_SNAKE_CASE								=			[self.eos_token_id]




    def UpperCamelCase			(			self :      Optional[Any]							,    snake_case__ :      Tuple    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			self.lang_code_to_id[lang]
     if self.legacy_behaviour:
      SCREAMING_SNAKE_CASE								=			[]
      SCREAMING_SNAKE_CASE								=			[self.eos_token_id, self.cur_lang_code]
     else:
      SCREAMING_SNAKE_CASE								=			[self.cur_lang_code]
      SCREAMING_SNAKE_CASE								=			[self.eos_token_id]




from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


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

a_    :						Optional[Any]    		=      {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

a_    :						Any    		=      {
    "vocab_file": {
        "allegro/herbert-base-cased": "https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json"
    },
    "merges_file": {
        "allegro/herbert-base-cased": "https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt"
    },
}

a_    :						Union[str, Any]    		=      {"allegro/herbert-base-cased": 514}
a_    :						List[Any]    		=      {}




class      UpperCamelCase (     SCREAMING_SNAKE_CASE   ):
    __UpperCamelCase         =VOCAB_FILES_NAMES
    __UpperCamelCase         =PRETRAINED_VOCAB_FILES_MAP
    __UpperCamelCase         =PRETRAINED_INIT_CONFIGURATION
    __UpperCamelCase         =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __UpperCamelCase         =HerbertTokenizer

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

     """simple docstring"""






     super().__init__(
         snake_case__							,    snake_case__							,    tokenizer_file=snake_case__							,    cls_token=snake_case__							,    unk_token=snake_case__							,    pad_token=snake_case__							,    mask_token=snake_case__							,    sep_token=snake_case__							,    **snake_case__							,    )

    def UpperCamelCase			(			self :      Union[str, Any]							,    snake_case__ :      List[int]							,    snake_case__ :      Optional[List[int]] = None    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			[self.cls_token_id]
     SCREAMING_SNAKE_CASE								=			[self.sep_token_id]
     if token_ids_a is None:
      return cls + token_ids_a + sep

     return cls + token_ids_a + sep + token_ids_a + sep

    def UpperCamelCase			(			self :      Optional[Any]							,    snake_case__ :      List[int]							,    snake_case__ :      Optional[List[int]] = None							,    snake_case__ :      bool = False    ):

     """simple docstring"""






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

     if token_ids_a is None:
      return [1] + ([0] * len(snake_case__    )) + [1]
     return [1] + ([0] * len(snake_case__    )) + [1] + ([0] * len(snake_case__    )) + [1]

    def UpperCamelCase			(			self :      Optional[Any]							,    snake_case__ :      List[int]							,    snake_case__ :      Optional[List[int]] = None    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			[self.sep_token_id]
     SCREAMING_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    ) * [0] + len(token_ids_a + sep    ) * [1]




    def UpperCamelCase			(			self :      Tuple							,    snake_case__ :      str							,    snake_case__ :      Optional[str] = None    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			self._tokenizer.model.save(snake_case__							,    name=snake_case__    )
     return tuple(snake_case__    )

