




class       a					:

     '''simple docstring'''





     def __init__(     self       :      Optional[Any] ,   __snake_case       :      List[str] ,   __snake_case       :      str    ):
         UpperCAmelCase_										=					name
         UpperCAmelCase_										=					val
     def __str__(     self       :      List[Any]    ):
         return F'{self.__class__.__name__}({self.name}, {self.val})'




     def __lt__(     self       :      Dict ,   __snake_case       :      Optional[Any]    ):
         return self.val < other.val



class       a					:

     '''simple docstring'''





     def __init__(     self       :      Dict ,   __snake_case       :      int    ):
         UpperCAmelCase_										=					{}
         UpperCAmelCase_										=					{}
         UpperCAmelCase_										=					self.build_heap(__snake_case    )
     def __getitem__(     self       :      str ,   __snake_case       :      Union[str, Any]    ):
         return self.get_value(__snake_case    )
     def   lowerCamelCase_       (     self       :      str ,   __snake_case       :      Optional[int]    ):
         return (idx - 1) // 2
     def   lowerCamelCase_       (     self       :      Optional[int] ,   __snake_case       :      Dict    ):
         return idx * 2 + 1
     def   lowerCamelCase_       (     self       :      Dict ,   __snake_case       :      Optional[int]    ):
         return idx * 2 + 2
     def   lowerCamelCase_       (     self       :      Any ,   __snake_case       :      Tuple    ):
         return self.heap_dict[key]
     def   lowerCamelCase_       (     self       :      Optional[Any] ,   __snake_case       :      List[str]    ):
         UpperCAmelCase_										=					len(__snake_case    ) - 1
         UpperCAmelCase_										=					self.get_parent_idx(__snake_case    )

         for idx, i in enumerate(__snake_case    ):
             UpperCAmelCase_										=					idx
             UpperCAmelCase_										=					i.val

         for i in range(__snake_case ,   -1 ,   -1    ):
             self.sift_down(__snake_case ,   __snake_case    )
         return array
     def   lowerCamelCase_       (     self       :      Tuple ,   __snake_case       :      str ,   __snake_case       :      Tuple    ):
         while True:
             UpperCAmelCase_										=					self.get_left_child_idx(__snake_case    )  # noqa: E741
             UpperCAmelCase_										=					self.get_right_child_idx(__snake_case    )

             UpperCAmelCase_										=					idx
             if l < len(__snake_case    ) and array[l] < array[idx]:
                 UpperCAmelCase_										=					l
             if r < len(__snake_case    ) and array[r] < array[smallest]:
                 UpperCAmelCase_										=					r

             if smallest != idx:
                 UpperCAmelCase_			,							UpperCAmelCase_										=					array[smallest], array[idx]
                 (
                     (
                     UpperCAmelCase_
                 )			,							(
                     UpperCAmelCase_
                 )			,							
                 )										=					(
                     self.idx_of_element[array[smallest]],
                     self.idx_of_element[array[idx]],
                 )
                 UpperCAmelCase_										=					smallest
             else:
                 break
     def   lowerCamelCase_       (     self       :      int ,   __snake_case       :      List[Any]    ):
         UpperCAmelCase_										=					self.get_parent_idx(__snake_case    )
         while p >= 0 and self.heap[p] > self.heap[idx]:
             UpperCAmelCase_			,							UpperCAmelCase_										=					self.heap[idx], self.heap[p]
             UpperCAmelCase_			,							UpperCAmelCase_										=					(
                 self.idx_of_element[self.heap[idx]],
                 self.idx_of_element[self.heap[p]],
             )
             UpperCAmelCase_										=					p
             UpperCAmelCase_										=					self.get_parent_idx(__snake_case    )
     def   lowerCamelCase_       (     self       :      Union[str, Any]    ):
         return self.heap[0]
     def   lowerCamelCase_       (     self       :      Any    ):
         UpperCAmelCase_			,							UpperCAmelCase_										=					self.heap[-1], self.heap[0]
         UpperCAmelCase_			,							UpperCAmelCase_										=					(
             self.idx_of_element[self.heap[-1]],
             self.idx_of_element[self.heap[0]],
         )

         UpperCAmelCase_										=					self.heap.pop()
         del self.idx_of_element[x]
         self.sift_down(0 ,   self.heap    )
         return x
     def   lowerCamelCase_       (     self       :      Optional[int] ,   __snake_case       :      Tuple    ):
         self.heap.append(__snake_case    )
         UpperCAmelCase_										=					len(self.heap    ) - 1
         UpperCAmelCase_										=					node.val
         self.sift_up(len(self.heap    ) - 1    )
     def   lowerCamelCase_       (     self       :      Optional[Any]    ):
         return len(self.heap    ) == 0




     def   lowerCamelCase_       (     self       :      List[Any] ,   __snake_case       :      Any ,   __snake_case       :      Optional[int]    ):
         assert (
             self.heap[self.idx_of_element[node]].val > new_value
         ), "newValue must be less that current value"
         UpperCAmelCase_										=					new_value
         UpperCAmelCase_										=					new_value
         self.sift_up(self.idx_of_element[node]    )


_lowerCamelCase      			=						Node('R', -1)
_lowerCamelCase      			=						Node('B', 6)
_lowerCamelCase      			=						Node('A', 3)
_lowerCamelCase      			=						Node('X', 1)
_lowerCamelCase      			=						Node('E', 4)

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

# Generating Min-Heap from array
_lowerCamelCase      			=						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()











import torch

from transformers import CamembertForMaskedLM, CamembertTokenizer




def  SCREAMING_SNAKE_CASE     (	__UpperCamelCase      :						Union[str, Any]	,					__UpperCamelCase      :						int	,					__UpperCamelCase      :						Union[str, Any]	,					__UpperCamelCase      :						List[str]=5				)  ->							Dict:
    # Adapted from https://github.com/pytorch/fairseq/blob/master/fairseq/models/roberta/hub_interface.py
    assert masked_input.count('''<mask>'''				) == 1
    UpperCAmelCase_										=					torch.tensor(tokenizer.encode(__UpperCamelCase	,					add_special_tokens=__UpperCamelCase				)				).unsqueeze(0				)  # Batch size 1
    UpperCAmelCase_										=					model(__UpperCamelCase				)[0]  # The last hidden-state is the first element of the output tuple
    UpperCAmelCase_										=					(input_ids.squeeze() == tokenizer.mask_token_id).nonzero().item()
    UpperCAmelCase_										=					logits[0, masked_index, :]
    UpperCAmelCase_										=					logits.softmax(dim=0				)
    UpperCAmelCase_			,							UpperCAmelCase_										=					prob.topk(k=__UpperCamelCase	,					dim=0				)
    UpperCAmelCase_										=					''' '''.join(
        [tokenizer.convert_ids_to_tokens(indices[i].item()				) for i in range(len(__UpperCamelCase				)				)]				)
    UpperCAmelCase_										=					tokenizer.mask_token
    UpperCAmelCase_										=					[]
    for index, predicted_token_bpe in enumerate(topk_predicted_token_bpe.split(''' '''				)				):
        UpperCAmelCase_										=					predicted_token_bpe.replace('''\u2581'''	,					''' '''				)
        if " {0}".format(__UpperCamelCase				) in masked_input:
            topk_filled_outputs.append(
                (
                    masked_input.replace(''' {0}'''.format(__UpperCamelCase				)	,					__UpperCamelCase				),
                    values[index].item(),
                    predicted_token,
                )				)
        else:
            topk_filled_outputs.append(
                (
                    masked_input.replace(__UpperCamelCase	,					__UpperCamelCase				),
                    values[index].item(),
                    predicted_token,
                )				)
    return topk_filled_outputs


_lowerCamelCase      			=						CamembertTokenizer.from_pretrained('camembert-base')
_lowerCamelCase      			=						CamembertForMaskedLM.from_pretrained('camembert-base')
model.eval()

_lowerCamelCase      			=						'Le camembert est <mask> :)'


print(fill_mask(masked_input, model, tokenizer, topk=3))





