


'''simple docstring'''





from __future__ import annotations

from collections.abc import Iterator
from typing import Any

class       __magic_name__	:


     def __init__(      self							:     List[str]							,	lowerCamelCase__							:     Optional[Any]			)  ->      str:





      '''simple docstring'''






      UpperCamelCase__					:    Any          =   data
      UpperCamelCase__					:    Node | None          =   None



class       __magic_name__	:


     def __init__(      self							:     int			)  ->      List[str]:





      '''simple docstring'''






      UpperCamelCase__					:    Union[str, Any]          =   None
      UpperCamelCase__					:    int          =   None


     def __iter__(      self							:     Union[str, Any]			)  ->      str:





      '''simple docstring'''






      UpperCamelCase__					:    Tuple          =   self.head
      while self.head:
       yield node.data
       UpperCamelCase__					:    Union[str, Any]          =   node.next
       if node == self.head:
        break


     def __len__(      self							:     List[str]			)  ->      int:





      '''simple docstring'''






      return sum(1 for _ in self			)


     def __repr__(      self							:     List[Any]			)  ->      Union[str, Any]:





      '''simple docstring'''






      return "->".join(str(lowercase__			) for item in iter(self			)			)


     def      UpperCAmelCase__	(      self							:     Optional[int]							,	lowerCamelCase__							:     Tuple			)  ->      Dict:





      '''simple docstring'''






      self.insert_nth(len(self			)							,	lowercase__			)


     def      UpperCAmelCase__	(      self							:     Union[str, Any]							,	lowerCamelCase__							:     List[Any]			)  ->      int:





      '''simple docstring'''






      self.insert_nth(0							,	lowercase__			)


     def      UpperCAmelCase__	(      self							:     List[str]							,	lowerCamelCase__							:     Optional[Any]							,	lowerCamelCase__							:     List[Any]			)  ->      List[str]:





      '''simple docstring'''






      if index < 0 or index > len(self			):
       raise IndexError('''list index out of range.'''			)
      UpperCamelCase__					:    Union[str, Any]          =   Node(lowercase__			)
      if self.head is None:
       UpperCamelCase__					:    List[Any]          =   new_node  # first node points itself
       UpperCamelCase__					:    Union[str, Any]          =   new_node
      elif index == 0:  # insert at head
       UpperCamelCase__					:    int          =   self.head
       UpperCamelCase__					:    str          =   new_node
      else:
       UpperCamelCase__					:    Any          =   self.head
       for _ in range(index - 1			):
        UpperCamelCase__					:    Union[str, Any]          =   temp.next
       UpperCamelCase__					:    Dict          =   temp.next
       UpperCamelCase__					:    List[str]          =   new_node
       if index == len(self			) - 1:  # insert at tail
        UpperCamelCase__					:    Tuple          =   new_node


     def      UpperCAmelCase__	(      self							:     Dict			)  ->      Any:





      '''simple docstring'''






      return self.delete_nth(0			)


     def      UpperCAmelCase__	(      self							:     Optional[int]			)  ->      Union[str, Any]:





      '''simple docstring'''






      return self.delete_nth(len(self			) - 1			)


     def      UpperCAmelCase__	(      self							:     Any							,	lowerCamelCase__							:     Optional[Any] = 0			)  ->      Union[str, Any]:





      '''simple docstring'''






      if not 0 <= index < len(self			):
       raise IndexError('''list index out of range.'''			)
      UpperCamelCase__					:    Union[str, Any]          =   self.head
      if self.head == self.tail:  # just one node
       UpperCamelCase__					:    Tuple          =   None
      elif index == 0:  # delete head node
       UpperCamelCase__					:    List[str]          =   self.tail.next.next
       UpperCamelCase__					:    Optional[Any]          =   self.head.next
      else:
       UpperCamelCase__					:    Union[str, Any]          =   self.head
       for _ in range(index - 1			):
        UpperCamelCase__					:    Tuple          =   temp.next
       UpperCamelCase__					:    str          =   temp.next
       UpperCamelCase__					:    Optional[Any]          =   temp.next.next
       if index == len(self			) - 1:  # delete at tail
        UpperCamelCase__					:    List[str]          =   temp
      return delete_node.data


     def      UpperCAmelCase__	(      self							:     Dict			)  ->      Optional[Any]:





      '''simple docstring'''






      return len(self			) == 0



def 			_a  (				):







 """simple docstring"""



 UpperCamelCase__					:    Optional[Any]          =   CircularLinkedList()
 assert len(SCREAMING_SNAKE_CASE__     ) == 0
 assert circular_linked_list.is_empty() is True
 assert str(SCREAMING_SNAKE_CASE__     ) == ""

 try:
  circular_linked_list.delete_front()
  raise AssertionError  # This should not happen
 except IndexError:
  assert True  # This should happen

 try:
  circular_linked_list.delete_tail()
  raise AssertionError  # This should not happen
 except IndexError:
  assert True  # This should happen

 try:
  circular_linked_list.delete_nth(-1     )
  raise AssertionError
 except IndexError:
  assert True

 try:
  circular_linked_list.delete_nth(0     )
  raise AssertionError
 except IndexError:
  assert True

 assert circular_linked_list.is_empty() is True
 for i in range(5     ):
  assert len(SCREAMING_SNAKE_CASE__     ) == i
  circular_linked_list.insert_nth(SCREAMING_SNAKE_CASE__    , i + 1     )
 assert str(SCREAMING_SNAKE_CASE__     ) == "->".join(str(SCREAMING_SNAKE_CASE__     ) for i in range(1    , 6     )     )

 circular_linked_list.insert_tail(6     )
 assert str(SCREAMING_SNAKE_CASE__     ) == "->".join(str(SCREAMING_SNAKE_CASE__     ) for i in range(1    , 7     )     )
 circular_linked_list.insert_head(0     )
 assert str(SCREAMING_SNAKE_CASE__     ) == "->".join(str(SCREAMING_SNAKE_CASE__     ) for i in range(0    , 7     )     )

 assert circular_linked_list.delete_front() == 0
 assert circular_linked_list.delete_tail() == 6
 assert str(SCREAMING_SNAKE_CASE__     ) == "->".join(str(SCREAMING_SNAKE_CASE__     ) for i in range(1    , 6     )     )
 assert circular_linked_list.delete_nth(2     ) == 3

 circular_linked_list.insert_nth(2    , 3     )
 assert str(SCREAMING_SNAKE_CASE__     ) == "->".join(str(SCREAMING_SNAKE_CASE__     ) for i in range(1    , 6     )     )

 assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
       import doctest

       doctest.testmod()






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  (				SCREAMING_SNAKE_CASE	:				Optional[Any]    , SCREAMING_SNAKE_CASE	:				Any    , SCREAMING_SNAKE_CASE	:				List[str]    , SCREAMING_SNAKE_CASE	:				int     ):







 """simple docstring"""



 if isinstance(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     ):
  UpperCamelCase__					:    Dict          =   np.full((len(SCREAMING_SNAKE_CASE     ), sequence_length, 2)    , SCREAMING_SNAKE_CASE     )
 else:
  UpperCamelCase__					:    Dict          =   np.full((len(SCREAMING_SNAKE_CASE     ), sequence_length)    , SCREAMING_SNAKE_CASE     )

 for i, tensor in enumerate(SCREAMING_SNAKE_CASE     ):
  if padding_side == "right":
   if isinstance(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     ):
    UpperCamelCase__					:    str          =   tensor[:sequence_length]
   else:
    UpperCamelCase__					:    Union[str, Any]          =   tensor[:sequence_length]
  else:
   if isinstance(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     ):
    UpperCamelCase__					:    str          =   tensor[:sequence_length]
   else:
    UpperCamelCase__					:    str          =   tensor[:sequence_length]

 return out_tensor.tolist()

def 			_a  (				SCREAMING_SNAKE_CASE	:				List[Any]     ):







 """simple docstring"""



 UpperCamelCase__					:    Union[str, Any]          =   ord(SCREAMING_SNAKE_CASE     )
 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__					:    Any          =   unicodedata.category(SCREAMING_SNAKE_CASE     )
 if cat.startswith('''P'''     ):
  return True
 return False






@dataclass
class       __magic_name__	(     __lowerCAmelCase):
     A:		PreTrainedTokenizerBase
     A:		Union[bool, str, PaddingStrategy]			=      True
     A:		Optional[int]			=      None
     A:		Optional[int]			=      None
     A:		int			=      -1_0_0
     A:		str			=      "pt"


     def      UpperCAmelCase__	(      self							:     int							,	lowerCamelCase__							:     List[Any]			)  ->      Any:





      '''simple docstring'''






      import torch

      UpperCamelCase__					:    Tuple          =   '''label''' if '''label''' in features[0].keys() else '''labels'''
      UpperCamelCase__					:    Optional[Any]          =   [feature[label_name] for feature in features] if label_name in features[0].keys() else None
      UpperCamelCase__					:    Optional[int]          =   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__					:    Dict          =   torch.tensor(batch['''entity_ids''']			).shape[1]
      UpperCamelCase__					:    Union[str, Any]          =   self.tokenizer.padding_side
      if padding_side == "right":
       UpperCamelCase__					:    Optional[int]          =   [
           list(lowerCamelCase__			) + [self.label_pad_token_id] * (sequence_length - len(lowerCamelCase__			)) for label in labels
       ]
      else:
       UpperCamelCase__					:    int          =   [
           [self.label_pad_token_id] * (sequence_length - len(lowerCamelCase__			)) + list(lowerCamelCase__			) for label in labels
       ]

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

      return batch


