




'''simple docstring'''





import operator as op





def       lowerCAmelCase_     (					__A						:							Optional[Any] ):




			'''simple docstring'''


			snake_case:       Dict        =       []
			snake_case:       List[str]        =       lambda __A ,			__A : int(x / y )  # noqa: E731 integer division operation
			snake_case:       Optional[int]        =       {
			    '^': op.pow,
			    '*': op.mul,
			    '/': div,
			    '+': op.add,
			    '-': op.sub,
			}  # operators & their respective operation

			# print table header
			print('Symbol'.center(8 ) ,			'Action'.center(12 ) ,			'Stack' ,			sep=' | ' )
			print('-' * (30 + len(lowercase__ )) )

			for x in post_fix:
						if x.isdigit():  # if x in digit
									stack.append(lowercase__ )  # append x to stack
									# output in tabular format
									print(x.rjust(8 ) ,			('push(' + x + ')').ljust(12 ) ,			','.join(lowercase__ ) ,			sep=' | ' )
						else:
									snake_case:       int        =       stack.pop()  # pop stack
									# output in tabular format
									print(''.rjust(8 ) ,			('pop(' + b + ')').ljust(12 ) ,			','.join(lowercase__ ) ,			sep=' | ' )

									snake_case:       Tuple        =       stack.pop()  # pop stack
									# output in tabular format
									print(''.rjust(8 ) ,			('pop(' + a + ')').ljust(12 ) ,			','.join(lowercase__ ) ,			sep=' | ' )

									stack.append(
									    str(opr[x](int(lowercase__ ) ,			int(lowercase__ ) ) ) )  # evaluate the 2 values popped from stack & push result to stack
									# output in tabular format
									print(
									    x.rjust(8 ) ,			('push(' + a + x + b + ')').ljust(12 ) ,			','.join(lowercase__ ) ,			sep=' | ' ,			)

			return int(stack[0] )


if __name__ == "__main__":
			__UpperCAmelCase       =		input("\n\nEnter a Postfix Equation (space separated) = ").split(" ")
			print("\n\tResult = ", solve(Postfix))





"""simple docstring"""






import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class lowerCAmelCase__      (	lowercase,      unittest.TestCase		):






			'''simple docstring'''



			lowerCamelCase__ =     RobertaTokenizer
			lowerCamelCase__ =     RobertaTokenizerFast
			lowerCamelCase__ =     True
			lowerCamelCase__ =     {"""cls_token""": """<s>"""}
			def    A_       (    self    ):
							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							_lowerCamelCase	:     Optional[Any]       =       [
							    'l',
							    'o',
							    'w',
							    'e',
							    'r',
							    's',
							    't',
							    'i',
							    'd',
							    'n',
							    '\u0120',
							    '\u0120l',
							    '\u0120n',
							    '\u0120lo',
							    '\u0120low',
							    'er',
							    '\u0120lowest',
							    '\u0120newer',
							    '\u0120wider',
							    '<unk>',
							]
							_lowerCamelCase	:     Optional[int]       =       dict(zip(lowercase    , range(len(lowercase    )    )    )    )
							_lowerCamelCase	:     Optional[int]       =       ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
							_lowerCamelCase	:     Optional[Any]       =       {'unk_token': '<unk>'}

							_lowerCamelCase	:     Optional[int]       =       os.path.join(self.tmpdirname    , VOCAB_FILES_NAMES['vocab_file']    )
							_lowerCamelCase	:     Optional[Any]       =       os.path.join(self.tmpdirname    , VOCAB_FILES_NAMES['merges_file']    )
							with open(self.vocab_file    , 'w'    , encoding='utf-8'    ) as fp:
											fp.write(json.dumps(lowercase    ) + '\n'    )
							with open(self.merges_file    , 'w'    , encoding='utf-8'    ) as fp:
											fp.write('\n'.join(lowercase    )    )
			def    A_       (    self    , **lowercase    ):
							kwargs.update(self.special_tokens_map    )
							return self.tokenizer_class.from_pretrained(self.tmpdirname    , **lowercase    )
			def    A_       (    self    , **lowercase    ):
							kwargs.update(self.special_tokens_map    )
							return RobertaTokenizerFast.from_pretrained(self.tmpdirname    , **lowercase    )
			def    A_       (    self    , lowercase    ):
							_lowerCamelCase	:     Any       =       'lower newer'
							_lowerCamelCase	:     Union[str, Any]       =       'lower newer'
							return input_text, output_text
			def    A_       (    self    ):
							_lowerCamelCase	:     Dict       =       self.tokenizer_class(self.vocab_file    , self.merges_file    , **self.special_tokens_map    )
							_lowerCamelCase	:     List[str]       =       'lower newer'
							_lowerCamelCase	:     Tuple       =       ['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
							_lowerCamelCase	:     List[str]       =       tokenizer.tokenize(lowercase    )  # , add_prefix_space=True)
							self.assertListEqual(lowercase    , lowercase    )

							_lowerCamelCase	:     List[Any]       =       tokens + [tokenizer.unk_token]
							_lowerCamelCase	:     str       =       [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase    )    , lowercase    )
			def    A_       (    self    ):
							_lowerCamelCase	:     Union[str, Any]       =       self.get_tokenizer()

							self.assertListEqual(tokenizer.encode('Hello world!'    , add_special_tokens=lowercase    )    , [0, 31414, 232, 328, 2]    )
							self.assertListEqual(
							    tokenizer.encode('Hello world! cécé herlolip 418'    , add_special_tokens=lowercase    )    , [0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]    , )
			@slow
			def    A_       (    self    ):
							_lowerCamelCase	:     Dict       =       self.tokenizer_class.from_pretrained('roberta-base'    )

							_lowerCamelCase	:     Tuple       =       tokenizer.encode('sequence builders'    , add_special_tokens=lowercase    )
							_lowerCamelCase	:     int       =       tokenizer.encode('multi-sequence build'    , add_special_tokens=lowercase    )

							_lowerCamelCase	:     List[Any]       =       tokenizer.encode(
							    'sequence builders'    , add_special_tokens=lowercase    , add_prefix_space=lowercase    )
							_lowerCamelCase	:     List[str]       =       tokenizer.encode(
							    'sequence builders'    , 'multi-sequence build'    , add_special_tokens=lowercase    , add_prefix_space=lowercase    )

							_lowerCamelCase	:     Dict       =       tokenizer.build_inputs_with_special_tokens(lowercase    )
							_lowerCamelCase	:     Optional[int]       =       tokenizer.build_inputs_with_special_tokens(lowercase    , lowercase    )

							assert encoded_sentence == encoded_text_from_decode
							assert encoded_pair == encoded_pair_from_decode
			def    A_       (    self    ):
							_lowerCamelCase	:     Tuple       =       self.get_tokenizer()

							_lowerCamelCase	:     str       =       'Encode this sequence.'
							_lowerCamelCase	:     Optional[int]       =       tokenizer.byte_encoder[' '.encode('utf-8'    )[0]]

							# Testing encoder arguments
							_lowerCamelCase	:     Optional[int]       =       tokenizer.encode(lowercase    , add_special_tokens=lowercase    , add_prefix_space=lowercase    )
							_lowerCamelCase	:     Union[str, Any]       =       tokenizer.convert_ids_to_tokens(encoded[0]    )[0]
							self.assertNotEqual(lowercase    , lowercase    )

							_lowerCamelCase	:     List[str]       =       tokenizer.encode(lowercase    , add_special_tokens=lowercase    , add_prefix_space=lowercase    )
							_lowerCamelCase	:     List[Any]       =       tokenizer.convert_ids_to_tokens(encoded[0]    )[0]
							self.assertEqual(lowercase    , lowercase    )

							tokenizer.add_special_tokens({'bos_token': '<s>'}    )
							_lowerCamelCase	:     Optional[Any]       =       tokenizer.encode(lowercase    , add_special_tokens=lowercase    )
							_lowerCamelCase	:     Union[str, Any]       =       tokenizer.convert_ids_to_tokens(encoded[1]    )[0]
							self.assertNotEqual(lowercase    , lowercase    )

							# Testing spaces after special tokens
							_lowerCamelCase	:     List[Any]       =       '<mask>'
							tokenizer.add_special_tokens(
							    {'mask_token': AddedToken(lowercase    , lstrip=lowercase    , rstrip=lowercase    )}    )  # mask token has a left space
							_lowerCamelCase	:     List[str]       =       tokenizer.convert_tokens_to_ids(lowercase    )

							_lowerCamelCase	:     Optional[int]       =       'Encode <mask> sequence'
							_lowerCamelCase	:     int       =       'Encode <mask>sequence'

							_lowerCamelCase	:     str       =       tokenizer.encode(lowercase    )
							_lowerCamelCase	:     Tuple       =       encoded.index(lowercase    )
							_lowerCamelCase	:     int       =       tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]    )[0]
							self.assertEqual(lowercase    , lowercase    )

							_lowerCamelCase	:     Any       =       tokenizer.encode(lowercase    )
							_lowerCamelCase	:     Union[str, Any]       =       encoded.index(lowercase    )
							_lowerCamelCase	:     int       =       tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]    )[0]
							self.assertNotEqual(lowercase    , lowercase    )
			def    A_       (    self    ):
							pass
			def    A_       (    self    ):
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
															_lowerCamelCase	:     Optional[Any]       =       self.rust_tokenizer_class.from_pretrained(lowercase    , **lowercase    )
															_lowerCamelCase	:     Dict       =       self.tokenizer_class.from_pretrained(lowercase    , **lowercase    )
															_lowerCamelCase	:     List[str]       =       'A, <mask> AllenNLP sentence.'
															_lowerCamelCase	:     List[Any]       =       tokenizer_r.encode_plus(lowercase    , add_special_tokens=lowercase    , return_token_type_ids=lowercase    )
															_lowerCamelCase	:     Union[str, Any]       =       tokenizer_p.encode_plus(lowercase    , add_special_tokens=lowercase    , return_token_type_ids=lowercase    )

															# token_type_ids should put 0 everywhere
															self.assertEqual(sum(tokens_r['token_type_ids']    )    , sum(tokens_p['token_type_ids']    )    )

															# attention_mask should put 1 everywhere, so sum over length should be 1
															self.assertEqual(
															    sum(tokens_r['attention_mask']    ) / len(tokens_r['attention_mask']    )    , sum(tokens_p['attention_mask']    ) / len(tokens_p['attention_mask']    )    , )

															_lowerCamelCase	:     List[Any]       =       tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']    )
															_lowerCamelCase	:     Tuple       =       tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']    )

															# Rust correctly handles the space before the mask while python doesnt
															self.assertSequenceEqual(tokens_p['input_ids']    , [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]    )
															self.assertSequenceEqual(tokens_r['input_ids']    , [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]    )

															self.assertSequenceEqual(
															    lowercase    , ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']    )
															self.assertSequenceEqual(
															    lowercase    , ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']    )
			def    A_       (    self    ):
							for trim_offsets, add_prefix_space in itertools.product([True, False]    , repeat=2    ):
											_lowerCamelCase	:     Union[str, Any]       =       self.rust_tokenizer_class.from_pretrained(
											    self.tmpdirname    , use_fast=lowercase    , add_prefix_space=lowercase    , trim_offsets=lowercase    )

											_lowerCamelCase	:     Optional[int]       =       json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()    )
											_lowerCamelCase	:     Dict       =       json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()    )

											self.assertEqual(pre_tokenizer_state['add_prefix_space']    , lowercase    )

											self.assertEqual(post_processor_state['add_prefix_space']    , lowercase    )
											self.assertEqual(post_processor_state['trim_offsets']    , lowercase    )






			def    A_       (    self    ):
							# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
							# `trim_offsets`
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
															_lowerCamelCase	:     Dict       =       'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
															_lowerCamelCase	:     Tuple       =       F'''{text_of_1_token} {text_of_1_token}'''

															_lowerCamelCase	:     Dict       =       self.rust_tokenizer_class.from_pretrained(
															    lowercase    , use_fast=lowercase    , add_prefix_space=lowercase    , trim_offsets=lowercase    )
															_lowerCamelCase	:     List[Any]       =       tokenizer_r(lowercase    , return_offsets_mapping=lowercase    , add_special_tokens=lowercase    )
															self.assertEqual(encoding.offset_mapping[0]    , (0, len(lowercase    ))    )
															self.assertEqual(
															    encoding.offset_mapping[1]    , (len(lowercase    ) + 1, len(lowercase    ) + 1 + len(lowercase    ))    , )

															_lowerCamelCase	:     int       =       self.rust_tokenizer_class.from_pretrained(
															    lowercase    , use_fast=lowercase    , add_prefix_space=lowercase    , trim_offsets=lowercase    )
															_lowerCamelCase	:     Union[str, Any]       =       tokenizer_r(lowercase    , return_offsets_mapping=lowercase    , add_special_tokens=lowercase    )
															self.assertEqual(encoding.offset_mapping[0]    , (0, len(lowercase    ))    )
															self.assertEqual(
															    encoding.offset_mapping[1]    , (len(lowercase    ) + 1, len(lowercase    ) + 1 + len(lowercase    ))    , )

															_lowerCamelCase	:     Union[str, Any]       =       self.rust_tokenizer_class.from_pretrained(
															    lowercase    , use_fast=lowercase    , add_prefix_space=lowercase    , trim_offsets=lowercase    )
															_lowerCamelCase	:     List[str]       =       tokenizer_r(lowercase    , return_offsets_mapping=lowercase    , add_special_tokens=lowercase    )
															self.assertEqual(encoding.offset_mapping[0]    , (0, len(lowercase    ))    )
															self.assertEqual(
															    encoding.offset_mapping[1]    , (len(lowercase    ), len(lowercase    ) + 1 + len(lowercase    ))    , )

															_lowerCamelCase	:     Dict       =       self.rust_tokenizer_class.from_pretrained(
															    lowercase    , use_fast=lowercase    , add_prefix_space=lowercase    , trim_offsets=lowercase    )
															_lowerCamelCase	:     int       =       tokenizer_r(lowercase    , return_offsets_mapping=lowercase    , add_special_tokens=lowercase    )
															self.assertEqual(encoding.offset_mapping[0]    , (0, len(lowercase    ))    )
															self.assertEqual(
															    encoding.offset_mapping[1]    , (len(lowercase    ), len(lowercase    ) + 1 + len(lowercase    ))    , )

															_lowerCamelCase	:     int       =       F''' {text}'''

															# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
															#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
															# )
															# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
															# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
															# self.assertEqual(
															#     encoding.offset_mapping[1],
															#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
															# )

															_lowerCamelCase	:     Optional[Any]       =       self.rust_tokenizer_class.from_pretrained(
															    lowercase    , use_fast=lowercase    , add_prefix_space=lowercase    , trim_offsets=lowercase    )
															_lowerCamelCase	:     Optional[int]       =       tokenizer_r(lowercase    , return_offsets_mapping=lowercase    , add_special_tokens=lowercase    )
															self.assertEqual(encoding.offset_mapping[0]    , (1, 1 + len(lowercase    ))    )
															self.assertEqual(
															    encoding.offset_mapping[1]    , (1 + len(lowercase    ) + 1, 1 + len(lowercase    ) + 1 + len(lowercase    ))    , )

															_lowerCamelCase	:     Optional[int]       =       self.rust_tokenizer_class.from_pretrained(
															    lowercase    , use_fast=lowercase    , add_prefix_space=lowercase    , trim_offsets=lowercase    )
															_lowerCamelCase	:     Union[str, Any]       =       tokenizer_r(lowercase    , return_offsets_mapping=lowercase    , add_special_tokens=lowercase    )
															self.assertEqual(encoding.offset_mapping[0]    , (0, 1 + len(lowercase    ))    )
															self.assertEqual(
															    encoding.offset_mapping[1]    , (1 + len(lowercase    ), 1 + len(lowercase    ) + 1 + len(lowercase    ))    , )

															_lowerCamelCase	:     Union[str, Any]       =       self.rust_tokenizer_class.from_pretrained(
															    lowercase    , use_fast=lowercase    , add_prefix_space=lowercase    , trim_offsets=lowercase    )
															_lowerCamelCase	:     Optional[Any]       =       tokenizer_r(lowercase    , return_offsets_mapping=lowercase    , add_special_tokens=lowercase    )
															self.assertEqual(encoding.offset_mapping[0]    , (0, 1 + len(lowercase    ))    )
															self.assertEqual(
															    encoding.offset_mapping[1]    , (1 + len(lowercase    ), 1 + len(lowercase    ) + 1 + len(lowercase    ))    , )