






import unicodedata
from dataclasses import dataclass
from typing import Optional, Union

import numpy as np

from transformers.data.data_collator import DataCollatorMixin
from transformers.file_utils import PaddingStrategy
from transformers.tokenization_utils_base import PreTrainedTokenizerBase




def 				A		(					lowercase__  :  Any ,		lowercase__  :  List[Any] ,		lowercase__  :  int ,		lowercase__  :  Optional[Any]  )		-> Optional[Any]:
	if isinstance(lowercase__ ,		lowercase__  ):
		UpperCamelCase__ :Tuple						=      np.full((len(lowercase__  ), sequence_length, 2) ,		lowercase__  )
	else:
		UpperCamelCase__ :List[str]						=      np.full((len(lowercase__  ), sequence_length) ,		lowercase__  )

	for i, tensor in enumerate(lowercase__  ):
		if padding_side == "right":
			if isinstance(lowercase__ ,		lowercase__  ):
				UpperCamelCase__ :List[Any]						=      tensor[:sequence_length]
			else:
				UpperCamelCase__ :Dict						=      tensor[:sequence_length]
		else:
			if isinstance(lowercase__ ,		lowercase__  ):
				UpperCamelCase__ :Optional[int]						=      tensor[:sequence_length]
			else:
				UpperCamelCase__ :Optional[int]						=      tensor[:sequence_length]

	return out_tensor.tolist()




def 				A		(					lowercase__  :  Dict  )		-> Optional[Any]:
	UpperCamelCase__ :List[Any]						=      ord(lowercase__  )
	if (cp >= 33 and cp <= 47) or (cp >= 58 and cp <= 64) or (cp >= 91 and cp <= 96) or (cp >= 123 and cp <= 126):
		return True
	UpperCamelCase__ :str						=      unicodedata.category(lowercase__  )
	if cat.startswith("""P"""  ):
		return True
	return False




@dataclass
class        lowerCAmelCase_				(      lowercase	):







				"""simple docstring"""




				_snake_case				:   PreTrainedTokenizerBase
				_snake_case				:   Union[bool, str, PaddingStrategy]        =			True
				_snake_case				:   Optional[int]        =			None
				_snake_case				:   Optional[int]        =			None
				_snake_case				:   int        =			-100
				_snake_case				:   str        =			"pt"







				def 				__a   ( self     :Any  ,     lowerCamelCase__     :int     ):
					import torch

					UpperCamelCase__ :str						=      """label""" if """label""" in features[0].keys() else """labels"""
					UpperCamelCase__ :str						=      [feature[label_name] for feature in features] if label_name in features[0].keys() else None
					UpperCamelCase__ :Any						=      self.tokenizer.pad(
					    lowerCamelCase__  ,     padding=self.padding  ,     max_length=self.max_length  ,     pad_to_multiple_of=self.pad_to_multiple_of  ,     return_tensors="""pt""" if labels is None else None  ,     )

					if labels is None:
						return batch

					UpperCamelCase__ :List[Any]						=      torch.tensor(batch["""entity_ids"""]     ).shape[1]
					UpperCamelCase__ :Optional[int]						=      self.tokenizer.padding_side
					if padding_side == "right":
						UpperCamelCase__ :Optional[Any]						=      [
						    list(lowerCamelCase__     ) + [self.label_pad_token_id] * (sequence_length - len(lowerCamelCase__     )) for label in labels
						]
					else:
						UpperCamelCase__ :Union[str, Any]						=      [
						    [self.label_pad_token_id] * (sequence_length - len(lowerCamelCase__     )) + list(lowerCamelCase__     ) for label in labels
						]

					UpperCamelCase__ :Optional[Any]						=      [feature["""ner_tags"""] for feature in features]
					UpperCamelCase__ :Optional[int]						=      padding_tensor(lowerCamelCase__  ,     -1  ,     lowerCamelCase__  ,     lowerCamelCase__     )
					UpperCamelCase__ :Union[str, Any]						=      [feature["""original_entity_spans"""] for feature in features]
					UpperCamelCase__ :Tuple						=      padding_tensor(lowerCamelCase__  ,     (-1, -1)  ,     lowerCamelCase__  ,     lowerCamelCase__     )
					UpperCamelCase__ :int						=      {k: torch.tensor(lowerCamelCase__  ,     dtype=torch.intaa     ) for k, v in batch.items()}

					return batch

"""simple docstring"""






from collections.abc import Callable





class 				a__					:



     def __init__(							self :Tuple      ,  _lowerCamelCase :Callable | None = None   ):







      '''simple docstring'''



      UpperCamelCase_     :					list   	=[]
      # Stores indexes of each item for supporting updates and deletion.
      UpperCamelCase_     :					dict   	={}
      # Stores current size of heap.
      UpperCamelCase_     :					Any   	=0
      # Stores function used to evaluate the score of an item on which basis ordering
      # will be done.
      UpperCamelCase_     :					List[str]   	=key or (lambda _lowerCamelCase   : x)



     def  lowerCamelCase_						(							self :Tuple      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      return int((i - 1) / 2   ) if i > 0 else None



     def  lowerCamelCase_						(							self :Optional[Any]      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      UpperCamelCase_     :					List[str]   	=int(2 * i + 1   )
      return left if 0 < left < self.size else None



     def  lowerCamelCase_						(							self :Tuple      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      UpperCamelCase_     :					Optional[Any]   	=int(2 * i + 2   )
      return right if 0 < right < self.size else None



     def  lowerCamelCase_						(							self :Dict      ,  _lowerCamelCase :int      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      UpperCamelCase_	,     UpperCamelCase_     :					Optional[int]   	=(
          self.pos_map[self.arr[j][0]],
          self.pos_map[self.arr[i][0]],
      )
      # Then swap the items in the list.
      UpperCamelCase_	,     UpperCamelCase_     :					Union[str, Any]   	=self.arr[j], self.arr[i]



     def  lowerCamelCase_						(							self :Optional[Any]      ,  _lowerCamelCase :int      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      return self.arr[i][1] < self.arr[j][1]



     def  lowerCamelCase_						(							self :Any      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      UpperCamelCase_     :					int   	=self._left(_lowerCamelCase   )
      UpperCamelCase_     :					List[Any]   	=self._right(_lowerCamelCase   )
      UpperCamelCase_     :					Optional[Any]   	=i

      if left is not None and not self._cmp(_lowerCamelCase      ,  _lowerCamelCase   ):
       UpperCamelCase_     :					Optional[int]   	=left
      if right is not None and not self._cmp(_lowerCamelCase      ,  _lowerCamelCase   ):
       UpperCamelCase_     :					List[Any]   	=right

      return valid_parent



     def  lowerCamelCase_						(							self :Any      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      UpperCamelCase_     :					Dict   	=self._parent(_lowerCamelCase   )
      while parent is not None and not self._cmp(_lowerCamelCase      ,  _lowerCamelCase   ):
       self._swap(_lowerCamelCase      ,  _lowerCamelCase   )
       UpperCamelCase_	,     UpperCamelCase_     :					Dict   	=parent, self._parent(_lowerCamelCase   )



     def  lowerCamelCase_						(							self :List[str]      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      UpperCamelCase_     :					Optional[Any]   	=self._get_valid_parent(_lowerCamelCase   )
      while valid_parent != index:
       self._swap(_lowerCamelCase      ,  _lowerCamelCase   )
       UpperCamelCase_	,     UpperCamelCase_     :					int   	=valid_parent, self._get_valid_parent(_lowerCamelCase   )



     def  lowerCamelCase_						(							self :Optional[Any]      ,  _lowerCamelCase :int      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      if item not in self.pos_map:
       return
      UpperCamelCase_     :					List[Any]   	=self.pos_map[item]
      UpperCamelCase_     :					int   	=[item, self.key(_lowerCamelCase   )]
      # Make sure heap is right in both up and down direction.
      # Ideally only one of them will make any change.
      self._heapify_up(_lowerCamelCase   )
      self._heapify_down(_lowerCamelCase   )



     def  lowerCamelCase_						(							self :Tuple      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      if item not in self.pos_map:
       return
      UpperCamelCase_     :					Any   	=self.pos_map[item]
      del self.pos_map[item]
      UpperCamelCase_     :					Dict   	=self.arr[self.size - 1]
      UpperCamelCase_     :					Optional[int]   	=index
      self.size -= 1
      # Make sure heap is right in both up and down direction. Ideally only one
      # of them will make any change- so no performance loss in calling both.
      if self.size > index:
       self._heapify_up(_lowerCamelCase   )
       self._heapify_down(_lowerCamelCase   )



     def  lowerCamelCase_						(							self :Optional[int]      ,  _lowerCamelCase :int      ,  _lowerCamelCase :int   ):







      '''simple docstring'''



      UpperCamelCase_     :					Optional[int]   	=len(self.arr   )
      if arr_len == self.size:
       self.arr.append([item, self.key(_lowerCamelCase   )]   )
      else:
       UpperCamelCase_     :					str   	=[item, self.key(_lowerCamelCase   )]
      UpperCamelCase_     :					Optional[int]   	=self.size
      self.size += 1
      self._heapify_up(self.size - 1   )



     def  lowerCamelCase_						(							self :List[Any]   ):







      '''simple docstring'''



      return self.arr[0] if self.size else None




     def  lowerCamelCase_						(							self :Tuple   ):







      '''simple docstring'''



      UpperCamelCase_     :					int   	=self.get_top()
      if top_item_tuple:
       self.delete_item(top_item_tuple[0]   )
      return top_item_tuple




def       A_  (				):
 pass


if __name__ == "__main__":
 import doctest

 doctest.testmod()
