



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_convbert import ConvBertTokenizer


_lowercase						  =		logging.get_logger(__name__)

_lowercase						  =		{"vocab_file": "vocab.txt"}

_lowercase						  =		{
    "vocab_file": {
        "YituTech/conv-bert-base": "https://huggingface.co/YituTech/conv-bert-base/resolve/main/vocab.txt",
        "YituTech/conv-bert-medium-small": (
            "https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/vocab.txt"
        ),
        "YituTech/conv-bert-small": "https://huggingface.co/YituTech/conv-bert-small/resolve/main/vocab.txt",
    }
}

_lowercase						  =		{
    "YituTech/conv-bert-base": 512,
    "YituTech/conv-bert-medium-small": 512,
    "YituTech/conv-bert-small": 512,
}


_lowercase						  =		{
    "YituTech/conv-bert-base": {"do_lower_case": True},
    "YituTech/conv-bert-medium-small": {"do_lower_case": True},
    "YituTech/conv-bert-small": {"do_lower_case": True},
}



class     _UpperCAmelCase			(       A__     ):
     UpperCamelCase__		    =				VOCAB_FILES_NAMES
     UpperCamelCase__		    =				PRETRAINED_VOCAB_FILES_MAP
     UpperCamelCase__		    =				PRETRAINED_INIT_CONFIGURATION
     UpperCamelCase__		    =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCamelCase__		    =				ConvBertTokenizer




     def __init__(				self ,						a__=None ,						a__=None ,						a__=True ,						a__="[UNK]" ,						a__="[SEP]" ,						a__="[PAD]" ,						a__="[CLS]" ,						a__="[MASK]" ,						a__=True ,						a__=None ,						**a__ ,						):
         super().__init__(
             a__ ,						tokenizer_file=a__ ,						do_lower_case=a__ ,						unk_token=a__ ,						sep_token=a__ ,						pad_token=a__ ,						cls_token=a__ ,						mask_token=a__ ,						tokenize_chinese_chars=a__ ,						strip_accents=a__ ,						**a__ ,						)

         A__		 =					json.loads(self.backend_tokenizer.normalizer.__getstate__())
         if (
             normalizer_state.get('''lowercase''' ,						a__) != do_lower_case
             or normalizer_state.get('''strip_accents''' ,						a__) != strip_accents
             or normalizer_state.get('''handle_chinese_chars''' ,						a__) != tokenize_chinese_chars
         ):
             A__		 =					getattr(a__ ,						normalizer_state.pop('''type'''))
             A__		 =					do_lower_case
             A__		 =					strip_accents
             A__		 =					tokenize_chinese_chars
             A__		 =					normalizer_class(**a__)

         A__		 =					do_lower_case




     def 		snake_case_		(				self ,						a__ ,						a__=None):
         A__		 =					[self.cls_token_id] + token_ids_a + [self.sep_token_id]

         if token_ids_a:
             output += token_ids_a + [self.sep_token_id]

         return output




     def 		snake_case_		(				self ,						a__ ,						a__ = None):
         A__		 =					[self.sep_token_id]
         A__		 =					[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 		snake_case_		(				self ,						a__ ,						a__ = None):
         A__		 =					self._tokenizer.model.save(a__ ,						name=a__)
         return tuple(a__)





from __future__ import annotations



def 		lowerCAmelCase__    (					UpperCamelCase_				:       str ,       UpperCamelCase_				:       list[str] | None = None	)->  list[list[str]]:
    A__		 =					word_bank or []
    # create a table
    A__		 =					len(UpperCamelCase_	) + 1

    A__		 =					[]
    for _ in range(UpperCamelCase_	):
        table.append([]	)
    # seed value
    A__		 =					[[]]  # because empty string has empty combination

    # iterate through the indices
    for i in range(UpperCamelCase_	):
        # condition
        if table[i] != []:
            for word in word_bank:
                # slice condition
                if target[i : i + len(UpperCamelCase_	)] == word:
                    A__		 =					[
                        [word, *way] for way in table[i]
                    ]
                    # adds the word to every combination the current position holds
                    # now,push that combination to the table[i+len(word)]
                    table[i + len(UpperCamelCase_	)] += new_combinations

    # combinations are in reverse order so reverse for better output
    for combination in table[len(UpperCamelCase_	)]:
        combination.reverse()

    return table[len(UpperCamelCase_	)]


if __name__ == "__main__":
   print(all_construct("jwajalapa", ["jwa", "j", "w", "a", "la", "lapa"]))
   print(all_construct("rajamati", ["s", "raj", "amat", "raja", "ma", "i", "t"]))
   print(
       all_construct(
           "hexagonosaurus",
           ["h", "ex", "hex", "ag", "ago", "ru", "auru", "rus", "go", "no", "o", "s"],
       )
   )
