





import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class      lowercase__    (							__A     ,					unittest.TestCase  ):
  __UpperCamelCase	     =  LayoutLMTokenizer
  __UpperCamelCase	     =  LayoutLMTokenizerFast
  __UpperCamelCase	     =  True
  __UpperCamelCase	     =  True







  def 	UpperCAmelCase__		(	self						):
       super().setUp()

       lowerCAmelCase_					:       Optional[int]    =		[
           """[UNK]""",
           """[CLS]""",
           """[SEP]""",
           """want""",
           """##want""",
           """##ed""",
           """wa""",
           """un""",
           """runn""",
           """##ing""",
           """,""",
           """low""",
           """lowest""",
       ]
       lowerCAmelCase_					:       Tuple    =		os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["""vocab_file"""]						)
       with open(self.vocab_file    ,						"""w"""    ,						encoding="""utf-8"""						) as vocab_writer:
            vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]						)						)







  def 	UpperCAmelCase__		(	self    ,						**_lowercase						):
       return LayoutLMTokenizer.from_pretrained(self.tmpdirname    ,						**_lowercase						)







  def 	UpperCAmelCase__		(	self    ,						_lowercase						):
       lowerCAmelCase_					:       Dict    =		"""UNwant\u00E9d,running"""
       lowerCAmelCase_					:       Optional[Any]    =		"""unwanted, running"""
       return input_text, output_text







  def 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       List[str]    =		self.tokenizer_class(self.vocab_file						)

       lowerCAmelCase_					:       Union[str, Any]    =		tokenizer.tokenize("""UNwant\u00E9d,running"""						)
       self.assertListEqual(_lowercase    ,						["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]						)
       self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase						)    ,						[7, 4, 5, 10, 8, 9]						)







  def 	UpperCAmelCase__		(	self						):
       pass







UpperCAmelCase_					:   str 							=						"""Alexander Joslin"""

import operator as op

from .stack import Stack






def 							_lowerCAmelCase (  _a   :					str			)	->			int:
     lowerCAmelCase_					:       Any    =		{"""*""": op.mul, """/""": op.truediv, """+""": op.add, """-""": op.sub}

     lowerCAmelCase_					:       Stack[int]    =		Stack()
     lowerCAmelCase_					:       Stack[str]    =		Stack()

     for i in equation:
          if i.isdigit():
               # RULE 1
               operand_stack.push(int(_a			)			)
          elif i in operators:
               # RULE 2
               operator_stack.push(_a			)
          elif i == ")":
               # RULE 4
               lowerCAmelCase_					:       Optional[int]    =		operator_stack.peek()
               operator_stack.pop()
               lowerCAmelCase_					:       Union[str, Any]    =		operand_stack.peek()
               operand_stack.pop()
               lowerCAmelCase_					:       List[str]    =		operand_stack.peek()
               operand_stack.pop()

               lowerCAmelCase_					:       Dict    =		operators[opr](_a					,   _a			)
               operand_stack.push(_a			)

    # RULE 5
     return operand_stack.peek()


if __name__ == "__main__":
      UpperCAmelCase_					:   Dict 							=						"""(5 + ((4 * 2) * (2 + 3)))"""
      # answer = 45
      print(F"""{equation} = {dijkstras_two_stack_algorithm(equation)}""")
