



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_						:     Dict	     =		logging.get_logger(__name__)

a_						:     Union[str, Any]	     =		'▁'

a_						:     Tuple	     =		{'vocab_file': 'sentencepiece.bpe.model'}

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

a_						:     Optional[Any]	     =		{
    'facebook/nllb-200-distilled-600M': 1_0_2_4,
}

# fmt: off
a_						:     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    lowerCamelCase__  (						UpperCAmelCase_):
     """simple docstring"""



     _A       =			VOCAB_FILES_NAMES
     _A       =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _A       =			PRETRAINED_VOCAB_FILES_MAP
     _A       =			['input_ids', 'attention_mask']

     _A       =			[]
     _A       =			[]







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






           '''simple docstring'''



           lowerCamelCase								=		AddedToken(__a				,			lstrip=__a				,			rstrip=__a    ) if isinstance(__a				,			__a    ) else mask_token

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

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

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

           lowerCamelCase								=		len(self.sp_model    )
           lowerCamelCase								=		{
               code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(__a    )
           }
           lowerCamelCase								=		{v: k for k, v in self.lang_code_to_id.items()}
           lowerCamelCase								=		len(self.sp_model    ) + len(self.lang_code_to_id    ) + self.fairseq_offset

           self.fairseq_tokens_to_ids.update(self.lang_code_to_id    )
           lowerCamelCase								=		{v: k for k, v in self.fairseq_tokens_to_ids.items()}
           lowerCamelCase								=		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]    )

           lowerCamelCase								=		src_lang if src_lang is not None else "eng_Latn"
           lowerCamelCase								=		self.lang_code_to_id[self._src_lang]
           lowerCamelCase								=		tgt_lang
           self.set_src_lang_special_tokens(self._src_lang    )







     def __getstate__(self    ):






           '''simple docstring'''



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







     def __setstate__(self				,			__a    ):






           '''simple docstring'''



           lowerCamelCase								=		d

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

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







     @property
     def 						_a      (self    ):






           '''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 						_a      (self    ):






           '''simple docstring'''



           return self._src_lang







     @src_lang.setter
     def 						_a      (self				,			__a    ):






           '''simple docstring'''



           lowerCamelCase								=		new_src_lang
           self.set_src_lang_special_tokens(self._src_lang    )







     def 						_a      (self				,			__a				,			__a = None				,			__a = False    ):






           '''simple docstring'''



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

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







     def 						_a      (self				,			__a				,			__a = 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 						_a      (self				,			__a				,			__a = None    ):






           '''simple docstring'''



           lowerCamelCase								=		[self.sep_token_id]
           lowerCamelCase								=		[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 						_a      (self				,			__a				,			__a				,			__a				,			__a				,			**__a    ):






           '''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"    )
           lowerCamelCase								=		src_lang
           lowerCamelCase								=		self(__a				,			add_special_tokens=__a				,			return_tensors=__a				,			**__a    )
           lowerCamelCase								=		self.convert_tokens_to_ids(__a    )
           lowerCamelCase								=		tgt_lang_id
           return inputs







     def 						_a      (self    ):






           '''simple docstring'''



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







     def 						_a      (self				,			__a    ):






           '''simple docstring'''



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







     def 						_a      (self				,			__a    ):






           '''simple docstring'''



           if token in self.fairseq_tokens_to_ids:
                 return self.fairseq_tokens_to_ids[token]
           lowerCamelCase								=		self.sp_model.PieceToId(__a    )

           # 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 						_a      (self				,			__a    ):






           '''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 						_a      (self				,			__a    ):






           '''simple docstring'''



           lowerCamelCase								=		"".join(__a    ).replace(__a				,			" "    ).strip()
           return out_string







     def 						_a      (self				,			__a				,			__a = None    ):






           '''simple docstring'''



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

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

           return (out_vocab_file,)







     def 						_a      (self				,			__a				,			__a = "eng_Latn"				,			__a = None				,			__a = "fra_Latn"				,			**__a				,			):






           '''simple docstring'''



           lowerCamelCase								=		src_lang
           lowerCamelCase								=		tgt_lang
           return super().prepare_seqaseq_batch(__a				,			__a				,			**__a    )







     def 						_a      (self    ):






           '''simple docstring'''



           return self.set_src_lang_special_tokens(self.src_lang    )







     def 						_a      (self    ):






           '''simple docstring'''



           return self.set_tgt_lang_special_tokens(self.tgt_lang    )







     def 						_a      (self				,			__a    ):






           '''simple docstring'''



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







     def 						_a      (self				,			__a    ):






           '''simple docstring'''



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




def     __lowercase(	UpperCAmelCase__ ):


      """simple docstring"""



      lowerCamelCase								=		[]
      lowerCamelCase								=		[]
      lowerCamelCase								=		{
          "^": 3,
          "*": 2,
          "/": 2,
          "%": 2,
          "+": 1,
          "-": 1,
      }  # Priority of each operator
      lowerCamelCase								=		len(UpperCAmelCase__ ) if (len(UpperCAmelCase__ ) > 7) else 7

      # Print table header for output
      print(
          "Symbol".center(8 )   ,   "Stack".center(UpperCAmelCase__ )   ,   "Postfix".center(UpperCAmelCase__ )   ,   sep=" | "   ,   )
      print("-" * (print_width * 3 + 7) )

      for x in infix:
            if x.isalpha() or x.isdigit():
                  post_fix.append(UpperCAmelCase__ )  # if x is Alphabet / Digit, add it to Postfix
            elif x == "(":
                  stack.append(UpperCAmelCase__ )  # if x is "(" push to Stack
            elif x == ")":  # if x is ")" pop stack until "(" is encountered
                  while stack[-1] != "(":
                        post_fix.append(stack.pop() )  # Pop stack & add the content to Postfix
                  stack.pop()
            else:
                  if len(UpperCAmelCase__ ) == 0:
                        stack.append(UpperCAmelCase__ )  # If stack is empty, push x to stack
                  else:  # while priority of x is not > priority of element in the stack
                        while len(UpperCAmelCase__ ) > 0 and priority[x] <= priority[stack[-1]]:
                              post_fix.append(stack.pop() )  # pop stack & add to Postfix
                        stack.append(UpperCAmelCase__ )  # push x to stack

            print(
                x.center(8 )   ,   ("".join(UpperCAmelCase__ )).ljust(UpperCAmelCase__ )   ,   ("".join(UpperCAmelCase__ )).ljust(UpperCAmelCase__ )   ,   sep=" | "   ,   )  # Output in tabular format

      while len(UpperCAmelCase__ ) > 0:  # while stack is not empty
            post_fix.append(stack.pop() )  # pop stack & add to Postfix
            print(
                " ".center(8 )   ,   ("".join(UpperCAmelCase__ )).ljust(UpperCAmelCase__ )   ,   ("".join(UpperCAmelCase__ )).ljust(UpperCAmelCase__ )   ,   sep=" | "   ,   )  # Output in tabular format

      return "".join(UpperCAmelCase__ )  # return Postfix as str

def     __lowercase(	UpperCAmelCase__ ):


      """simple docstring"""



      lowerCamelCase								=		list(infix[::-1] )  # reverse the infix equation

      for i in range(len(UpperCAmelCase__ ) ):
            if infix[i] == "(":
                  lowerCamelCase								=		")"  # change "(" to ")"
            elif infix[i] == ")":
                  lowerCamelCase								=		"("  # change ")" to "("

      return (infix_2_postfix("".join(UpperCAmelCase__ ) ))[
          ::-1
      ]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
     a_						:     str	     =		input('\nEnter an Infix Equation = ')  # Input an Infix equation
     a_						:     List[Any]	     =		''.join(Infix.split())  # Remove spaces from the input
     print('\n\t', Infix, '(Infix) -> ', infix_2_prefix(Infix), '(Prefix)')