"""simple docstring"""


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_bert import BertTokenizer


UpperCAmelCase__  		=						logging.get_logger(__name__)

UpperCAmelCase__  		=						{"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase__  		=						{
    """vocab_file""": {
        """bert-base-uncased""": """https://huggingface.co/bert-base-uncased/resolve/main/vocab.txt""",
        """bert-large-uncased""": """https://huggingface.co/bert-large-uncased/resolve/main/vocab.txt""",
        """bert-base-cased""": """https://huggingface.co/bert-base-cased/resolve/main/vocab.txt""",
        """bert-large-cased""": """https://huggingface.co/bert-large-cased/resolve/main/vocab.txt""",
        """bert-base-multilingual-uncased""": (
            """https://huggingface.co/bert-base-multilingual-uncased/resolve/main/vocab.txt"""
        ),
        """bert-base-multilingual-cased""": """https://huggingface.co/bert-base-multilingual-cased/resolve/main/vocab.txt""",
        """bert-base-chinese""": """https://huggingface.co/bert-base-chinese/resolve/main/vocab.txt""",
        """bert-base-german-cased""": """https://huggingface.co/bert-base-german-cased/resolve/main/vocab.txt""",
        """bert-large-uncased-whole-word-masking""": (
            """https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/vocab.txt"""
        ),
        """bert-large-cased-whole-word-masking""": (
            """https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/vocab.txt"""
        ),
        """bert-large-uncased-whole-word-masking-finetuned-squad""": (
            """https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/vocab.txt"""
        ),
        """bert-large-cased-whole-word-masking-finetuned-squad""": (
            """https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/vocab.txt"""
        ),
        """bert-base-cased-finetuned-mrpc""": (
            """https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/vocab.txt"""
        ),
        """bert-base-german-dbmdz-cased""": """https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/vocab.txt""",
        """bert-base-german-dbmdz-uncased""": (
            """https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/vocab.txt"""
        ),
        """TurkuNLP/bert-base-finnish-cased-v1""": (
            """https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/vocab.txt"""
        ),
        """TurkuNLP/bert-base-finnish-uncased-v1""": (
            """https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/vocab.txt"""
        ),
        """wietsedv/bert-base-dutch-cased""": (
            """https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """bert-base-uncased""": """https://huggingface.co/bert-base-uncased/resolve/main/tokenizer.json""",
        """bert-large-uncased""": """https://huggingface.co/bert-large-uncased/resolve/main/tokenizer.json""",
        """bert-base-cased""": """https://huggingface.co/bert-base-cased/resolve/main/tokenizer.json""",
        """bert-large-cased""": """https://huggingface.co/bert-large-cased/resolve/main/tokenizer.json""",
        """bert-base-multilingual-uncased""": (
            """https://huggingface.co/bert-base-multilingual-uncased/resolve/main/tokenizer.json"""
        ),
        """bert-base-multilingual-cased""": (
            """https://huggingface.co/bert-base-multilingual-cased/resolve/main/tokenizer.json"""
        ),
        """bert-base-chinese""": """https://huggingface.co/bert-base-chinese/resolve/main/tokenizer.json""",
        """bert-base-german-cased""": """https://huggingface.co/bert-base-german-cased/resolve/main/tokenizer.json""",
        """bert-large-uncased-whole-word-masking""": (
            """https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/tokenizer.json"""
        ),
        """bert-large-cased-whole-word-masking""": (
            """https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/tokenizer.json"""
        ),
        """bert-large-uncased-whole-word-masking-finetuned-squad""": (
            """https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/tokenizer.json"""
        ),
        """bert-large-cased-whole-word-masking-finetuned-squad""": (
            """https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/tokenizer.json"""
        ),
        """bert-base-cased-finetuned-mrpc""": (
            """https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/tokenizer.json"""
        ),
        """bert-base-german-dbmdz-cased""": (
            """https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/tokenizer.json"""
        ),
        """bert-base-german-dbmdz-uncased""": (
            """https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/tokenizer.json"""
        ),
        """TurkuNLP/bert-base-finnish-cased-v1""": (
            """https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/tokenizer.json"""
        ),
        """TurkuNLP/bert-base-finnish-uncased-v1""": (
            """https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/tokenizer.json"""
        ),
        """wietsedv/bert-base-dutch-cased""": (
            """https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/tokenizer.json"""
        ),
    },
}

UpperCAmelCase__  		=						{
    """bert-base-uncased""": 5_1_2,
    """bert-large-uncased""": 5_1_2,
    """bert-base-cased""": 5_1_2,
    """bert-large-cased""": 5_1_2,
    """bert-base-multilingual-uncased""": 5_1_2,
    """bert-base-multilingual-cased""": 5_1_2,
    """bert-base-chinese""": 5_1_2,
    """bert-base-german-cased""": 5_1_2,
    """bert-large-uncased-whole-word-masking""": 5_1_2,
    """bert-large-cased-whole-word-masking""": 5_1_2,
    """bert-large-uncased-whole-word-masking-finetuned-squad""": 5_1_2,
    """bert-large-cased-whole-word-masking-finetuned-squad""": 5_1_2,
    """bert-base-cased-finetuned-mrpc""": 5_1_2,
    """bert-base-german-dbmdz-cased""": 5_1_2,
    """bert-base-german-dbmdz-uncased""": 5_1_2,
    """TurkuNLP/bert-base-finnish-cased-v1""": 5_1_2,
    """TurkuNLP/bert-base-finnish-uncased-v1""": 5_1_2,
    """wietsedv/bert-base-dutch-cased""": 5_1_2,
}

UpperCAmelCase__  		=						{
    """bert-base-uncased""": {"""do_lower_case""": True},
    """bert-large-uncased""": {"""do_lower_case""": True},
    """bert-base-cased""": {"""do_lower_case""": False},
    """bert-large-cased""": {"""do_lower_case""": False},
    """bert-base-multilingual-uncased""": {"""do_lower_case""": True},
    """bert-base-multilingual-cased""": {"""do_lower_case""": False},
    """bert-base-chinese""": {"""do_lower_case""": False},
    """bert-base-german-cased""": {"""do_lower_case""": False},
    """bert-large-uncased-whole-word-masking""": {"""do_lower_case""": True},
    """bert-large-cased-whole-word-masking""": {"""do_lower_case""": False},
    """bert-large-uncased-whole-word-masking-finetuned-squad""": {"""do_lower_case""": True},
    """bert-large-cased-whole-word-masking-finetuned-squad""": {"""do_lower_case""": False},
    """bert-base-cased-finetuned-mrpc""": {"""do_lower_case""": False},
    """bert-base-german-dbmdz-cased""": {"""do_lower_case""": False},
    """bert-base-german-dbmdz-uncased""": {"""do_lower_case""": True},
    """TurkuNLP/bert-base-finnish-cased-v1""": {"""do_lower_case""": False},
    """TurkuNLP/bert-base-finnish-uncased-v1""": {"""do_lower_case""": True},
    """wietsedv/bert-base-dutch-cased""": {"""do_lower_case""": False},
}


class        a				(		lowerCAmelCase_   ):
    _snake_case     :  Optional[Any]     							=							VOCAB_FILES_NAMES
    _snake_case     :  Optional[Any]     							=							PRETRAINED_VOCAB_FILES_MAP
    _snake_case     :  Union[str, Any]     							=							PRETRAINED_INIT_CONFIGURATION
    _snake_case     :  str     							=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _snake_case     :  Union[str, Any]     							=							BertTokenizer


    def __init__(					self	:  Optional[int]   ,				__lowerCAmelCase	:  Any=None   ,				__lowerCAmelCase	:  Any=None   ,				__lowerCAmelCase	:  List[Any]=True   ,				__lowerCAmelCase	:  List[Any]="[UNK]"   ,				__lowerCAmelCase	:  Union[str, Any]="[SEP]"   ,				__lowerCAmelCase	:  Union[str, Any]="[PAD]"   ,				__lowerCAmelCase	:  Union[str, Any]="[CLS]"   ,				__lowerCAmelCase	:  Union[str, Any]="[MASK]"   ,				__lowerCAmelCase	:  int=True   ,				__lowerCAmelCase	:  Union[str, Any]=None   ,				**__lowerCAmelCase	:  Dict   ,				):
      super().__init__(
          __lowerCAmelCase   ,				tokenizer_file=__lowerCAmelCase   ,				do_lower_case=__lowerCAmelCase   ,				unk_token=__lowerCAmelCase   ,				sep_token=__lowerCAmelCase   ,				pad_token=__lowerCAmelCase   ,				cls_token=__lowerCAmelCase   ,				mask_token=__lowerCAmelCase   ,				tokenize_chinese_chars=__lowerCAmelCase   ,				strip_accents=__lowerCAmelCase   ,				**__lowerCAmelCase   ,				)

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

      _UpperCAmelCase						 =      do_lower_case


    def      lowerCAmelCase_  (					self	:  Optional[int]   ,				__lowerCAmelCase	:  Dict   ,				__lowerCAmelCase	:  List[Any]=None					):
      _UpperCAmelCase						 =      [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      lowerCAmelCase_  (					self	:  List[str]   ,				__lowerCAmelCase	:  List[int]   ,				__lowerCAmelCase	:  Optional[List[int]] = None					):
      _UpperCAmelCase						 =      [self.sep_token_id]
      _UpperCAmelCase						 =      [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      lowerCAmelCase_  (					self	:  str   ,				__lowerCAmelCase	:  str   ,				__lowerCAmelCase	:  Optional[str] = None					):
      _UpperCAmelCase						 =      self._tokenizer.model.save(__lowerCAmelCase   ,				name=__lowerCAmelCase					)
      return tuple(__lowerCAmelCase					)

"""simple docstring"""


import unittest

from knapsack import knapsack as k


class        a				(		unittest.TestCase   ):


    def      lowerCAmelCase_  (					self	:  List[Any]					):
      _UpperCAmelCase						 =      0
      _UpperCAmelCase						 =      [0]
      _UpperCAmelCase						 =      [0]
      _UpperCAmelCase						 =      len(__lowerCAmelCase					)
      self.assertEqual(k.knapsack(__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase					)   ,				0					)

      _UpperCAmelCase						 =      [60]
      _UpperCAmelCase						 =      [10]
      _UpperCAmelCase						 =      len(__lowerCAmelCase					)
      self.assertEqual(k.knapsack(__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase					)   ,				0					)


    def      lowerCAmelCase_  (					self	:  Optional[int]					):
      _UpperCAmelCase						 =      3
      _UpperCAmelCase						 =      [1, 2, 3]
      _UpperCAmelCase						 =      [3, 2, 1]
      _UpperCAmelCase						 =      len(__lowerCAmelCase					)
      self.assertEqual(k.knapsack(__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase					)   ,				5					)


    def      lowerCAmelCase_  (					self	:  Optional[Any]					):
      _UpperCAmelCase						 =      50
      _UpperCAmelCase						 =      [60, 100, 120]
      _UpperCAmelCase						 =      [10, 20, 30]
      _UpperCAmelCase						 =      len(__lowerCAmelCase					)
      self.assertEqual(k.knapsack(__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase   ,				__lowerCAmelCase					)   ,				220					)


if __name__ == "__main__":
    unittest.main()
