"""simple docstring"""


import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


__UpperCamelCase									=			logging.get_logger(__name__)


__UpperCamelCase									=			{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
__UpperCamelCase									=			{
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json''',
    },
}

__UpperCamelCase									=			{
    '''RUCAIBox/mvp''': 1024,
}




class  UpperCamelCase					(				lowerCAmelCase__   ):
       SCREAMING_SNAKE_CASE_			=      VOCAB_FILES_NAMES
       SCREAMING_SNAKE_CASE_			=      PRETRAINED_VOCAB_FILES_MAP
       SCREAMING_SNAKE_CASE_			=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       SCREAMING_SNAKE_CASE_			=      ["input_ids", "attention_mask"]
       SCREAMING_SNAKE_CASE_			=      MvpTokenizer







       def __init__( self,							lowerCAmelCase__=None,							lowerCAmelCase__=None,							lowerCAmelCase__=None,							lowerCAmelCase__="replace",							lowerCAmelCase__="<s>",							lowerCAmelCase__="</s>",							lowerCAmelCase__="</s>",							lowerCAmelCase__="<s>",							lowerCAmelCase__="<unk>",							lowerCAmelCase__="<pad>",							lowerCAmelCase__="<mask>",							lowerCAmelCase__=False,							lowerCAmelCase__=True,							**lowerCAmelCase__,							)      ->      List[str]:
            super().__init__(
                lowerCAmelCase__,							lowerCAmelCase__,							tokenizer_file=lowerCAmelCase__,							errors=lowerCAmelCase__,							bos_token=lowerCAmelCase__,							eos_token=lowerCAmelCase__,							sep_token=lowerCAmelCase__,							cls_token=lowerCAmelCase__,							unk_token=lowerCAmelCase__,							pad_token=lowerCAmelCase__,							mask_token=lowerCAmelCase__,							add_prefix_space=lowerCAmelCase__,							trim_offsets=lowerCAmelCase__,							**lowerCAmelCase__,							)

            snake_case_					       =					json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
            if pre_tok_state.get('add_prefix_space',							lowerCAmelCase__) != add_prefix_space:
                 snake_case_					       =					getattr(lowerCAmelCase__,							pre_tok_state.pop('type'))
                 snake_case_					       =					add_prefix_space
                 snake_case_					       =					pre_tok_class(**lowerCAmelCase__)

            snake_case_					       =					add_prefix_space

            # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
            snake_case_					       =					'post_processor'
            snake_case_					       =					getattr(self.backend_tokenizer,							lowerCAmelCase__,							lowerCAmelCase__)
            if tokenizer_component_instance:
                 snake_case_					       =					json.loads(tokenizer_component_instance.__getstate__())

                 # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
                 if "sep" in state:
                      snake_case_					       =					tuple(state['sep'])
                 if "cls" in state:
                      snake_case_					       =					tuple(state['cls'])

                 snake_case_					       =					False

                 if state.get('add_prefix_space',							lowerCAmelCase__) != add_prefix_space:
                      snake_case_					       =					add_prefix_space
                      snake_case_					       =					True

                 if state.get('trim_offsets',							lowerCAmelCase__) != trim_offsets:
                      snake_case_					       =					trim_offsets
                      snake_case_					       =					True

                 if changes_to_apply:
                      snake_case_					       =					getattr(lowerCAmelCase__,							state.pop('type'))
                      snake_case_					       =					component_class(**lowerCAmelCase__)
                      setattr(self.backend_tokenizer,							lowerCAmelCase__,							lowerCAmelCase__)







       @property
       def 		a_						( self)      ->      str:
            if self._mask_token is None:
                 if self.verbose:
                      logger.error('Using mask_token, but it is not set yet.')
                 return None
            return str(self._mask_token)







       @mask_token.setter
       def 		a_						( self,							lowerCAmelCase__)      ->      str:
            snake_case_					       =					AddedToken(lowerCAmelCase__,							lstrip=lowerCAmelCase__,							rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__,							lowerCAmelCase__) else value
            snake_case_					       =					value







       def 		a_						( self,							*lowerCAmelCase__,							**lowerCAmelCase__)      ->      BatchEncoding:
            snake_case_					       =					kwargs.get('is_split_into_words',							lowerCAmelCase__)

            if is_split_into_words and not self.add_prefix_space:
                 raise ValueError(
                     f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
                     'to use it with pretokenized inputs.')

            return super()._batch_encode_plus(*lowerCAmelCase__,							**lowerCAmelCase__)







       def 		a_						( self,							*lowerCAmelCase__,							**lowerCAmelCase__)      ->      BatchEncoding:
            snake_case_					       =					kwargs.get('is_split_into_words',							lowerCAmelCase__)

            if is_split_into_words and not self.add_prefix_space:
                 raise ValueError(
                     f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
                     'to use it with pretokenized inputs.')

            return super()._encode_plus(*lowerCAmelCase__,							**lowerCAmelCase__)







       def 		a_						( self,							lowerCAmelCase__,							lowerCAmelCase__ = None)      ->      Tuple[str]:
            snake_case_					       =					self._tokenizer.model.save(lowerCAmelCase__,							name=lowerCAmelCase__)
            return tuple(lowerCAmelCase__)







       def 		a_						( self,							lowerCAmelCase__,							lowerCAmelCase__=None)      ->      Tuple:
            snake_case_					       =					[self.bos_token_id] + token_ids_a + [self.eos_token_id]
            if token_ids_a is None:
                 return output

            return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







       def 		a_						( self,							lowerCAmelCase__,							lowerCAmelCase__ = None)      ->      List[int]:
            snake_case_					       =					[self.sep_token_id]
            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]








"""simple docstring"""
class 					_UpperCAmelCase   :


					def __init__(					self			:List[str]     ,       __UpperCamelCase			:Union[str, Any]     ,       __UpperCamelCase			:Tuple		):
												A		=  name
												A		=  val


					def __str__(					self			:str		):
												return f"{self.__class__.__name__}({self.name}, {self.val})"


					def __lt__(					self			:List[Any]     ,       __UpperCamelCase			:Union[str, Any]		):
												return self.val < other.val







class 					_UpperCAmelCase   :


					def __init__(					self			:List[str]     ,       __UpperCamelCase			:Optional[Any]		):
												A		=  {}
												A		=  {}
												A		=  self.build_heap(__UpperCamelCase		)


					def __getitem__(					self			:int     ,       __UpperCamelCase			:Optional[int]		):
												return self.get_value(__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:List[Any]     ,       __UpperCamelCase			:str		):
												return (idx - 1) // 2


					def 	lowerCamelCase       (					self			:int     ,       __UpperCamelCase			:Optional[Any]		):
												return idx * 2 + 1


					def 	lowerCamelCase       (					self			:Union[str, Any]     ,       __UpperCamelCase			:Optional[int]		):
												return idx * 2 + 2


					def 	lowerCamelCase       (					self			:Optional[Any]     ,       __UpperCamelCase			:str		):
												return self.heap_dict[key]


					def 	lowerCamelCase       (					self			:int     ,       __UpperCamelCase			:Optional[Any]		):
												A		=  len(__UpperCamelCase		) - 1
												A		=  self.get_parent_idx(__UpperCamelCase		)

												for idx, i in enumerate(__UpperCamelCase		):
																			A		=  idx
																			A		=  i.val

												for i in range(__UpperCamelCase     ,       -1     ,       -1		):
																			self.sift_down(__UpperCamelCase     ,       __UpperCamelCase		)
												return array


					def 	lowerCamelCase       (					self			:str     ,       __UpperCamelCase			:Optional[Any]     ,       __UpperCamelCase			:Dict		):
												while True:
																			A		=  self.get_left_child_idx(__UpperCamelCase		)  # noqa: E741
																			A		=  self.get_right_child_idx(__UpperCamelCase		)

																			A		=  idx
																			if l < len(__UpperCamelCase		) and array[l] < array[idx]:
																										A		=  l
																			if r < len(__UpperCamelCase		) and array[r] < array[smallest]:
																										A		=  r

																			if smallest != idx:
																										A,	A		=  array[smallest], array[idx]
																										(
																										    (
																										    A
																										),	(
																										    A
																										),	
																										)		=  (
																										    self.idx_of_element[array[smallest]],
																										    self.idx_of_element[array[idx]],
																										)
																										A		=  smallest
																			else:
																										break


					def 	lowerCamelCase       (					self			:Optional[Any]     ,       __UpperCamelCase			:Optional[int]		):
												A		=  self.get_parent_idx(__UpperCamelCase		)
												while p >= 0 and self.heap[p] > self.heap[idx]:
																			A,	A		=  self.heap[idx], self.heap[p]
																			A,	A		=  (
																			    self.idx_of_element[self.heap[idx]],
																			    self.idx_of_element[self.heap[p]],
																			)
																			A		=  p
																			A		=  self.get_parent_idx(__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Any		):
												return self.heap[0]


					def 	lowerCamelCase       (					self			:Tuple		):
												A,	A		=  self.heap[-1], self.heap[0]
												A,	A		=  (
												    self.idx_of_element[self.heap[-1]],
												    self.idx_of_element[self.heap[0]],
												)

												A		=  self.heap.pop()
												del self.idx_of_element[x]
												self.sift_down(0     ,       self.heap		)
												return x


					def 	lowerCamelCase       (					self			:Optional[int]     ,       __UpperCamelCase			:Optional[int]		):
												self.heap.append(__UpperCamelCase		)
												A		=  len(self.heap		) - 1
												A		=  node.val
												self.sift_up(len(self.heap		) - 1		)


					def 	lowerCamelCase       (					self			:Tuple		):
												return len(self.heap		) == 0


					def 	lowerCamelCase       (					self			:Any     ,       __UpperCamelCase			:str     ,       __UpperCamelCase			:Dict		):
												assert (
												    self.heap[self.idx_of_element[node]].val > new_value
												), "newValue must be less that current value"
												A		=  new_value
												A		=  new_value
												self.sift_up(self.idx_of_element[node]		)







_snake_case     :		Optional[int]       						= Node('R', -1)
_snake_case     :		Tuple       						= Node('B', 6)
_snake_case     :		Tuple       						= Node('A', 3)
_snake_case     :		Optional[int]       						= Node('X', 1)
_snake_case     :		List[Any]       						= Node('E', 4)

# Use one of these two ways to generate Min-Heap

# Generating Min-Heap from array
_snake_case     :		Tuple       						= MinHeap([r, b, a, x, e])

# Generating Min-Heap by Insert method
# myMinHeap.insert(a)
# myMinHeap.insert(b)
# myMinHeap.insert(x)
# myMinHeap.insert(r)
# myMinHeap.insert(e)

# Before
print('Min Heap - before decrease key')
for i in my_min_heap.heap:
		print(i)

print('Min Heap - After decrease key of node [B -> -17]')
my_min_heap.decrease_key(b, -17)

# After
for i in my_min_heap.heap:
		print(i)

if __name__ == "__main__":
		import doctest

		doctest.testmod()


