from __future__ import annotations

from random import random
from typing import Generic, TypeVar

_SCREAMING_SNAKE_CASE										=						TypeVar('KT')
_SCREAMING_SNAKE_CASE										=						TypeVar('VT')



class 				a							(			Generic[KT, VT]       ):







 """simple docstring"""






 def __init__(					self		,				lowerCAmelCase_ = "root"		,				lowerCAmelCase_ = None							)  ->					Optional[int]:
        _A        =  key
        _A        =  value
        _A        =  []



 def __repr__(					self							)  ->					str:
        return F'''Node({self.key}: {self.value})'''



 @property
 def      UpperCAmelCase							(					self							)  ->					int:
        return len(self.forward							)



class 				a							(			Generic[KT, VT]       ):







 """simple docstring"""






 def __init__(					self		,				lowerCAmelCase_ = 0.5		,				lowerCAmelCase_ = 16							)  ->					int:
        _A        =  Node[KT, VT]()
        _A        =  0
        _A        =  p
        _A        =  max_level



 def __str__(					self							)  ->					str:
        _A        =  list(self							)

        if len(lowerCAmelCase_							) == 0:
               return F'''SkipList(level={self.level})'''

        _A        =  max((len(str(lowerCAmelCase_							)							) for item in items)		,				default=4							)
        _A        =  max(lowerCAmelCase_		,				4							) + 4

        _A        =  self.head
        _A        =  []

        _A        =  node.forward.copy()
        lines.append(F'''[{node.key}]'''.ljust(lowerCAmelCase_		,				"""-"""							) + """* """ * len(lowerCAmelCase_							)							)
        lines.append(""" """ * label_size + """| """ * len(lowerCAmelCase_							)							)

        while len(node.forward							) != 0:
               _A        =  node.forward[0]

               lines.append(
                   F'''[{node.key}]'''.ljust(lowerCAmelCase_		,				"""-"""							)
                   + """ """.join(str(n.key							) if n.key == node.key else """|""" for n in forwards							)							)
               lines.append(""" """ * label_size + """| """ * len(lowerCAmelCase_							)							)
               _A        =  node.forward

        lines.append("""None""".ljust(lowerCAmelCase_							) + """* """ * len(lowerCAmelCase_							)							)
        return F'''SkipList(level={self.level})\n''' + "\n".join(lowerCAmelCase_							)



 def __iter__(					self							)  ->					Tuple:
        _A        =  self.head

        while len(node.forward							) != 0:
               yield node.forward[0].key
               _A        =  node.forward[0]



 def      UpperCAmelCase							(					self							)  ->					int:
        _A        =  1
        while random() < self.p and level < self.max_level:
               level += 1

        return level



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					tuple[Node[KT, VT] | None, list[Node[KT, VT]]]:
        _A        =  []

        _A        =  self.head

        for i in reversed(range(self.level							)							):
               # i < node.level - When node level is lesser than `i` decrement `i`.
               # node.forward[i].key < key - Jumping to node with key value higher
               #                             or equal to searched key would result
               #                             in skipping searched key.
               while i < node.level and node.forward[i].key < key:
                      _A        =  node.forward[i]
               # Each leftmost node (relative to searched node) will potentially have to
               # be updated.
               update_vector.append(lowerCAmelCase_							)

        update_vector.reverse()  # Note that we were inserting values in reverse order.

        # len(node.forward) != 0 - If current node doesn't contain any further
        #                          references then searched key is not present.
        # node.forward[0].key == key - Next node key should be equal to search key
        #                              if key is present.
        if len(node.forward							) != 0 and node.forward[0].key == key:
               return node.forward[0], update_vector
        else:
               return None, update_vector



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					List[Any]:
        _A   ,  _A        =  self._locate_node(lowerCAmelCase_							)

        if node is not None:
               for i, update_node in enumerate(lowerCAmelCase_							):
                      # Remove or replace all references to removed node.
                      if update_node.level > i and update_node.forward[i].key == key:
                             if node.level > i:
                                    _A        =  node.forward[i]
                             else:
                                    _A        =  update_node.forward[:i]



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_							)  ->					Union[str, Any]:
        _A   ,  _A        =  self._locate_node(lowerCAmelCase_							)
        if node is not None:
               _A        =  value
        else:
               _A        =  self.random_level()

               if level > self.level:
                      # After level increase we have to add additional nodes to head.
                      for _ in range(self.level - 1		,				lowerCAmelCase_							):
                             update_vector.append(self.head							)
                      _A        =  level

               _A        =  Node(lowerCAmelCase_		,				lowerCAmelCase_							)

               for i, update_node in enumerate(update_vector[:level]							):
                      # Change references to pass through new node.
                      if update_node.level > i:
                             new_node.forward.append(update_node.forward[i]							)

                      if update_node.level < i + 1:
                             update_node.forward.append(lowerCAmelCase_							)
                      else:
                             _A        =  new_node



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_							)  ->					VT | None:
        _A   ,  _A        =  self._locate_node(lowerCAmelCase_							)

        if node is not None:
               return node.value

        return None






def  snake_case  (       )						->   List[Any]:
       _A        =  SkipList()
       skip_list.insert("""Key1"""   ,	3)
       skip_list.insert("""Key2"""   ,	12)
       skip_list.insert("""Key3"""   ,	41)
       skip_list.insert("""Key4"""   ,	-19)

       _A        =  skip_list.head
       _A        =  {}
       while node.level != 0:
              _A        =  node.forward[0]
              _A        =  node.value

       assert len(snake_case__) == 4
       assert all_values["Key1"] == 3
       assert all_values["Key2"] == 12
       assert all_values["Key3"] == 41
       assert all_values["Key4"] == -19






def  snake_case  (       )						->   Tuple:
       _A        =  SkipList()
       skip_list.insert("""Key1"""   ,	10)
       skip_list.insert("""Key1"""   ,	12)

       skip_list.insert("""Key5"""   ,	7)
       skip_list.insert("""Key7"""   ,	10)
       skip_list.insert("""Key10"""   ,	5)

       skip_list.insert("""Key7"""   ,	7)
       skip_list.insert("""Key5"""   ,	5)
       skip_list.insert("""Key10"""   ,	10)

       _A        =  skip_list.head
       _A        =  {}
       while node.level != 0:
              _A        =  node.forward[0]
              _A        =  node.value

       if len(snake_case__) != 4:
              print()
       assert len(snake_case__) == 4
       assert all_values["Key1"] == 12
       assert all_values["Key7"] == 7
       assert all_values["Key5"] == 5
       assert all_values["Key10"] == 10






def  snake_case  (       )						->   Dict:
       _A        =  SkipList()
       assert skip_list.find("""Some key""") is None






def  snake_case  (       )						->   Optional[int]:
       _A        =  SkipList()

       skip_list.insert("""Key2"""   ,	20)
       assert skip_list.find("""Key2""") == 20

       skip_list.insert("""Some Key"""   ,	10)
       skip_list.insert("""Key2"""   ,	8)
       skip_list.insert("""V"""   ,	13)

       assert skip_list.find("""Y""") is None
       assert skip_list.find("""Key2""") == 8
       assert skip_list.find("""Some Key""") == 10
       assert skip_list.find("""V""") == 13






def  snake_case  (       )						->   int:
       _A        =  SkipList()
       skip_list.delete("""Some key""")

       assert len(skip_list.head.forward) == 0






def  snake_case  (       )						->   Tuple:
       _A        =  SkipList()

       skip_list.insert("""Key1"""   ,	12)
       skip_list.insert("""V"""   ,	13)
       skip_list.insert("""X"""   ,	14)
       skip_list.insert("""Key2"""   ,	15)

       skip_list.delete("""V""")
       skip_list.delete("""Key2""")

       assert skip_list.find("""V""") is None
       assert skip_list.find("""Key2""") is None






def  snake_case  (       )						->   Optional[int]:
       _A        =  SkipList()

       skip_list.insert("""Key1"""   ,	12)
       skip_list.insert("""V"""   ,	13)
       skip_list.insert("""X"""   ,	14)
       skip_list.insert("""Key2"""   ,	15)

       skip_list.delete("""V""")
       assert skip_list.find("""V""") is None
       assert skip_list.find("""X""") == 14
       assert skip_list.find("""Key1""") == 12
       assert skip_list.find("""Key2""") == 15

       skip_list.delete("""X""")
       assert skip_list.find("""V""") is None
       assert skip_list.find("""X""") is None
       assert skip_list.find("""Key1""") == 12
       assert skip_list.find("""Key2""") == 15

       skip_list.delete("""Key1""")
       assert skip_list.find("""V""") is None
       assert skip_list.find("""X""") is None
       assert skip_list.find("""Key1""") is None
       assert skip_list.find("""Key2""") == 15

       skip_list.delete("""Key2""")
       assert skip_list.find("""V""") is None
       assert skip_list.find("""X""") is None
       assert skip_list.find("""Key1""") is None
       assert skip_list.find("""Key2""") is None






def  snake_case  (       )						->   Dict:
       _A        =  SkipList()

       skip_list.insert("""Key1"""   ,	12)
       skip_list.insert("""V"""   ,	13)
       skip_list.insert("""X"""   ,	142)
       skip_list.insert("""Key2"""   ,	15)

       skip_list.delete("""X""")

       def traverse_keys(snake_case__			:Optional[int]):
              yield node.key
              for forward_node in node.forward:
                     yield from traverse_keys(snake_case__)

       assert len(set(traverse_keys(skip_list.head))) == 4






def  snake_case  (       )						->   Tuple:
       def is_sorted(snake_case__			:str):
              return all(next_item >= item for item, next_item in zip(snake_case__   ,	lst[1:]))

       _A        =  SkipList()
       for i in range(10):
              skip_list.insert(snake_case__   ,	snake_case__)
       assert is_sorted(list(snake_case__))
       skip_list.delete(5)
       skip_list.delete(8)
       skip_list.delete(2)
       assert is_sorted(list(snake_case__))
       skip_list.insert(-12   ,	-12)
       skip_list.insert(77   ,	77)
       assert is_sorted(list(snake_case__))






def  snake_case  (       )						->   List[Any]:
       for _ in range(100):
              # Repeat test 100 times due to the probabilistic nature of skip list
              # random values == random bugs
              test_insert()
              test_insert_overrides_existing_value()

              test_searching_empty_list_returns_none()
              test_search()

              test_deleting_item_from_empty_list_do_nothing()
              test_deleted_items_are_not_founded_by_find_method()
              test_delete_removes_only_given_key()
              test_delete_doesnt_leave_dead_nodes()

              test_iter_always_yields_sorted_values()






def  snake_case  (       )						->   Optional[int]:
       _A        =  SkipList()
       skip_list.insert(2   ,	"""2""")
       skip_list.insert(4   ,	"""4""")
       skip_list.insert(6   ,	"""4""")
       skip_list.insert(4   ,	"""5""")
       skip_list.insert(8   ,	"""4""")
       skip_list.insert(9   ,	"""4""")

       skip_list.delete(4)

       print(snake_case__)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()





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


_SCREAMING_SNAKE_CASE										=						logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE										=						{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_SCREAMING_SNAKE_CASE										=						{
    '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'
        ),
    },
}

_SCREAMING_SNAKE_CASE										=						{
    'bert-base-uncased': 512,
    'bert-large-uncased': 512,
    'bert-base-cased': 512,
    'bert-large-cased': 512,
    'bert-base-multilingual-uncased': 512,
    'bert-base-multilingual-cased': 512,
    'bert-base-chinese': 512,
    'bert-base-german-cased': 512,
    'bert-large-uncased-whole-word-masking': 512,
    'bert-large-cased-whole-word-masking': 512,
    'bert-large-uncased-whole-word-masking-finetuned-squad': 512,
    'bert-large-cased-whole-word-masking-finetuned-squad': 512,
    'bert-base-cased-finetuned-mrpc': 512,
    'bert-base-german-dbmdz-cased': 512,
    'bert-base-german-dbmdz-uncased': 512,
    'TurkuNLP/bert-base-finnish-cased-v1': 512,
    'TurkuNLP/bert-base-finnish-uncased-v1': 512,
    'wietsedv/bert-base-dutch-cased': 512,
}

_SCREAMING_SNAKE_CASE										=						{
    '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       ):







 """simple docstring"""






 lowerCamelCase	:Tuple    			=		VOCAB_FILES_NAMES
 lowerCamelCase	:Union[str, Any]    			=		PRETRAINED_VOCAB_FILES_MAP
 lowerCamelCase	:Dict    			=		PRETRAINED_INIT_CONFIGURATION
 lowerCamelCase	:Optional[Any]    			=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCamelCase	:Optional[Any]    			=		BertTokenizer



 def __init__(					self		,				lowerCAmelCase_=None		,				lowerCAmelCase_=None		,				lowerCAmelCase_=True		,				lowerCAmelCase_="[UNK]"		,				lowerCAmelCase_="[SEP]"		,				lowerCAmelCase_="[PAD]"		,				lowerCAmelCase_="[CLS]"		,				lowerCAmelCase_="[MASK]"		,				lowerCAmelCase_=True		,				lowerCAmelCase_=None		,				**lowerCAmelCase_		,				)  ->					List[str]:
        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_		,				)

        _A        =  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
        ):
               _A        =  getattr(lowerCAmelCase_		,				normalizer_state.pop("""type"""							)							)
               _A        =  do_lower_case
               _A        =  strip_accents
               _A        =  tokenize_chinese_chars
               _A        =  normalizer_class(**lowerCAmelCase_							)

        _A        =  do_lower_case



 def      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_=None							)  ->					List[str]:
        _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      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_ = None							)  ->					List[int]:
        _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      UpperCAmelCase							(					self		,				lowerCAmelCase_		,				lowerCAmelCase_ = None							)  ->					Tuple[str]:
        _A        =  self._tokenizer.model.save(lowerCAmelCase_		,				name=lowerCAmelCase_							)
        return tuple(lowerCAmelCase_							)




