

from __future__ import annotations

from typing import Generic, TypeVar

UpperCamelCase__	:   Any								=     TypeVar("T")



class    __snake_case	(     Generic[T]							):

  def __init__(       self    ,		_A):
      SCREAMING_SNAKE_CASE_						=    data  # Assign data
      SCREAMING_SNAKE_CASE_						=    None  # Initialize next as null
      SCREAMING_SNAKE_CASE_						=    None  # Initialize prev as null






class    __snake_case	(     Generic[T]							):

  def __init__(       self):
      SCREAMING_SNAKE_CASE_						=    None

  def     lowerCAmelCase__  (       self    ,		_A):
      if self.head is None:
          SCREAMING_SNAKE_CASE_						=    Node(_A)
      else:
          SCREAMING_SNAKE_CASE_						=    Node(_A)
          SCREAMING_SNAKE_CASE_						=    new_node
          SCREAMING_SNAKE_CASE_						=    self.head
          SCREAMING_SNAKE_CASE_						=    None
          SCREAMING_SNAKE_CASE_						=    new_node

  def     lowerCAmelCase__  (       self):
      if self.head is None:
          return None
      else:
          assert self.head is not None
          SCREAMING_SNAKE_CASE_						=    self.head.data
          SCREAMING_SNAKE_CASE_						=    self.head.next
          if self.head is not None:
              SCREAMING_SNAKE_CASE_						=    None
          return temp

  def     lowerCAmelCase__  (       self):
      return self.head.data if self.head is not None else None

  def __len__(       self):
      SCREAMING_SNAKE_CASE_						=    self.head
      SCREAMING_SNAKE_CASE_						=    0
      while temp is not None:
          count += 1
          SCREAMING_SNAKE_CASE_						=    temp.next
      return count

  def     lowerCAmelCase__  (       self):
      return self.head is None


  def     lowerCAmelCase__  (       self):
      print('stack elements are:')
      SCREAMING_SNAKE_CASE_						=    self.head
      while temp is not None:
          print(temp.data    ,		end='->')
          SCREAMING_SNAKE_CASE_						=    temp.next


# Code execution starts here
if __name__ == "__main__":
       # Start with the empty stack
       UpperCamelCase__	:   Stack[int]								=     Stack()

       # Insert 4 at the beginning. So stack becomes 4->None
       print("Stack operations using Doubly LinkedList")
       stack.push(4)

       # Insert 5 at the beginning. So stack becomes 4->5->None
       stack.push(5)

       # Insert 6 at the beginning. So stack becomes 4->5->6->None
       stack.push(6)

       # Insert 7 at the beginning. So stack becomes 4->5->6->7->None
       stack.push(7)

       # Print the stack
       stack.print_stack()

       # Print the top element
       print("\nTop element is ", stack.top())

       # Print the stack size
       print("Size of the stack is ", len(stack))

       # pop the top element
       stack.pop()

       # pop the top element
       stack.pop()

       # two elements have now been popped off
       stack.print_stack()

       # Print True if the stack is empty else False
       print("\nstack is empty:", stack.is_empty())





import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
       from .tokenization_reformer import ReformerTokenizer
else:
       UpperCamelCase__	:   Optional[int]								=     None


UpperCamelCase__	:   Union[str, Any]								=     logging.get_logger(__name__)


UpperCamelCase__	:   Any								=     "▁"

UpperCamelCase__	:   Any								=     {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

UpperCamelCase__	:   List[Any]								=     {
    "vocab_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"
        )
    },
    "tokenizer_file": {
        "google/reformer-crime-and-punishment": (
            "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json"
        )
    },
}

UpperCamelCase__	:   Optional[Any]								=     {
    "google/reformer-crime-and-punishment": 524_288,
}



class    __snake_case	(     lowerCAmelCase__							):
  __lowerCAmelCase  :						int    			=	VOCAB_FILES_NAMES
  __lowerCAmelCase  :						int    			=	PRETRAINED_VOCAB_FILES_MAP
  __lowerCAmelCase  :						Tuple    			=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __lowerCAmelCase  :						List[str]    			=	['input_ids', 'attention_mask']
  __lowerCAmelCase  :						Dict    			=	ReformerTokenizer

  def __init__(       self    ,		_A=None    ,		_A=None    ,		_A="</s>"    ,		_A="<unk>"    ,		_A=[]    ,		**_A    ,		):
      super().__init__(
          _A    ,		tokenizer_file=_A    ,		eos_token=_A    ,		unk_token=_A    ,		additional_special_tokens=_A    ,		**_A    ,		)

      SCREAMING_SNAKE_CASE_						=    vocab_file
      SCREAMING_SNAKE_CASE_						=    False if not self.vocab_file else True


  def     lowerCAmelCase__  (       self    ,		_A    ,		_A = None):
      if not self.can_save_slow_tokenizer:
          raise ValueError(
              'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
              'tokenizer.')

      if not os.path.isdir(_A):
          logger.error(f"""Vocabulary path ({save_directory}) should be a directory""")
          return
      SCREAMING_SNAKE_CASE_						=    os.path.join(
          _A    ,		(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])

      if os.path.abspath(self.vocab_file) != os.path.abspath(_A):
          copyfile(self.vocab_file    ,		_A)

      return (out_vocab_file,)


