import json
import os
import unittest

from transformers import BartTokenizer, BartTokenizerFast, BatchEncoding
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin, filter_roberta_detectors

@require_tokenizers
class 				_lowercase						(    UpperCamelCase_   ,     unittest.TestCase ):






    '''simple docstring'''
    SCREAMING_SNAKE_CASE:							Any        =						BartTokenizer
    SCREAMING_SNAKE_CASE:							List[Any]        =						BartTokenizerFast
    SCREAMING_SNAKE_CASE:							Optional[int]        =						True
    SCREAMING_SNAKE_CASE:							int        =						filter_roberta_detectors




    def     _a						(						self   ):
       super().setUp()
       lowerCAmelCase_:       Optional[Any]         =  [
           '''l''',
           '''o''',
           '''w''',
           '''e''',
           '''r''',
           '''s''',
           '''t''',
           '''i''',
           '''d''',
           '''n''',
           '''\u0120''',
           '''\u0120l''',
           '''\u0120n''',
           '''\u0120lo''',
           '''\u0120low''',
           '''er''',
           '''\u0120lowest''',
           '''\u0120newer''',
           '''\u0120wider''',
           '''<unk>''',
       ]
       lowerCAmelCase_:       int         =  dict(zip(__UpperCamelCase					,	range(len(__UpperCamelCase   )   )   )   )
       lowerCAmelCase_:       Optional[int]         =  ['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
       lowerCAmelCase_:       List[Any]         =  {'''unk_token''': '''<unk>'''}

       lowerCAmelCase_:       Union[str, Any]         =  os.path.join(self.tmpdirname					,	VOCAB_FILES_NAMES["vocab_file"]   )
       lowerCAmelCase_:       List[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(__UpperCamelCase   ) + "\n"   )
       with open(self.merges_file					,	"w"					,	encoding="utf-8"   ) as fp:
          fp.write("\n".join(__UpperCamelCase   )   )




    def     _a						(						self					,	**lowerCamelCase__   ):
       kwargs.update(self.special_tokens_map   )
       return self.tokenizer_class.from_pretrained(self.tmpdirname					,	**__UpperCamelCase   )




    def     _a						(						self					,	**lowerCamelCase__   ):
       kwargs.update(self.special_tokens_map   )
       return self.rust_tokenizer_class.from_pretrained(self.tmpdirname					,	**__UpperCamelCase   )




    def     _a						(						self					,	lowerCamelCase__   ):
       return "lower newer", "lower newer"




    @cached_property
    def     _a						(						self   ):
       return BartTokenizer.from_pretrained("facebook/bart-large"   )




    @cached_property
    def     _a						(						self   ):
       return BartTokenizerFast.from_pretrained("facebook/bart-large"   )




    @require_torch
    def     _a						(						self   ):
       lowerCAmelCase_:       List[str]         =  ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
       lowerCAmelCase_:       Union[str, Any]         =  [0, 250, 251, 17_818, 13, 39_186, 1_938, 4, 2]

       for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
          lowerCAmelCase_:       Union[str, Any]         =  tokenizer(__UpperCamelCase					,	max_length=len(__UpperCamelCase   )					,	padding=__UpperCamelCase					,	return_tensors="pt"   )
          self.assertIsInstance(__UpperCamelCase					,	__UpperCamelCase   )

          self.assertEqual((2, 9)					,	batch.input_ids.shape   )
          self.assertEqual((2, 9)					,	batch.attention_mask.shape   )
          lowerCAmelCase_:       Optional[Any]         =  batch.input_ids.tolist()[0]
          self.assertListEqual(__UpperCamelCase					,	__UpperCamelCase   )
          # Test that special tokens are reset




    @require_torch
    def     _a						(						self   ):
       lowerCAmelCase_:       Optional[Any]         =  ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
       for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
          lowerCAmelCase_:       Tuple         =  tokenizer(__UpperCamelCase					,	padding=__UpperCamelCase					,	return_tensors="pt"   )
          # check if input_ids are returned and no labels
          self.assertIn("input_ids"					,	__UpperCamelCase   )
          self.assertIn("attention_mask"					,	__UpperCamelCase   )
          self.assertNotIn("labels"					,	__UpperCamelCase   )
          self.assertNotIn("decoder_attention_mask"					,	__UpperCamelCase   )




    @require_torch
    def     _a						(						self   ):
       lowerCAmelCase_:       Union[str, Any]         =  [
           '''Summary of the text.''',
           '''Another summary.''',
       ]
       for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
          lowerCAmelCase_:       int         =  tokenizer(text_target=__UpperCamelCase					,	max_length=32					,	padding="max_length"					,	return_tensors="pt"   )
          self.assertEqual(32					,	targets["input_ids"].shape[1]   )




    @require_torch
    def     _a						(						self   ):


       for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
          lowerCAmelCase_:       Any         =  tokenizer(
              ["I am a small frog" * 1_024, "I am a small frog"]					,	padding=__UpperCamelCase					,	truncation=__UpperCamelCase					,	return_tensors="pt"   )
          self.assertIsInstance(__UpperCamelCase					,	__UpperCamelCase   )
          self.assertEqual(batch.input_ids.shape					,	(2, 1_024)   )




    @require_torch
    def     _a						(						self   ):
       lowerCAmelCase_:       Tuple         =  ['''A long paragraph for summarization.''']
       lowerCAmelCase_:       Dict         =  [
           '''Summary of the text.''',
       ]
       for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
          lowerCAmelCase_:       Tuple         =  tokenizer(__UpperCamelCase					,	return_tensors="pt"   )
          lowerCAmelCase_:       Any         =  tokenizer(text_target=__UpperCamelCase					,	return_tensors="pt"   )
          lowerCAmelCase_:       Tuple         =  inputs['''input_ids''']
          lowerCAmelCase_:       str         =  targets['''input_ids''']
          self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item()   )
          self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item()   )
          self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item()   )
          self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item()   )




    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_:       str         =  self.rust_tokenizer_class.from_pretrained(__UpperCamelCase					,	**__UpperCamelCase   )
             lowerCAmelCase_:       Optional[Any]         =  self.tokenizer_class.from_pretrained(__UpperCamelCase					,	**__UpperCamelCase   )
             lowerCAmelCase_:       int         =  '''A, <mask> AllenNLP sentence.'''
             lowerCAmelCase_:       Union[str, Any]         =  tokenizer_r.encode_plus(__UpperCamelCase					,	add_special_tokens=__UpperCamelCase					,	return_token_type_ids=__UpperCamelCase   )
             lowerCAmelCase_:       List[str]         =  tokenizer_p.encode_plus(__UpperCamelCase					,	add_special_tokens=__UpperCamelCase					,	return_token_type_ids=__UpperCamelCase   )

             # 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_:       Optional[Any]         =  tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]   )
             lowerCAmelCase_:       List[str]         =  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, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]   )
             self.assertSequenceEqual(tokens_r["input_ids"]					,	[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]   )

             self.assertSequenceEqual(
                 __UpperCamelCase					,	["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]   )
             self.assertSequenceEqual(
                 __UpperCamelCase					,	["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]   )
from .balanced_parentheses import balanced_parentheses
from .stack import Stack
def 		snake_case__  (		lowercase				):
   return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(lowercase       ,							-1				)
def 		snake_case__  (		lowercase				):
   if not balanced_parentheses(lowercase				):
      raise ValueError("Mismatched parentheses"				)
   lowerCAmelCase_:       Stack[str]         =  Stack()
   lowerCAmelCase_:       Union[str, Any]         =  []
   for char in expression_str:
      if char.isalpha() or char.isdigit():
         postfix.append(lowercase				)
      elif char == "(":
         stack.push(lowercase				)
      elif char == ")":
         while not stack.is_empty() and stack.peek() != "(":
            postfix.append(stack.pop()				)
         stack.pop()
      else:
         while not stack.is_empty() and precedence(lowercase				) <= precedence(stack.peek()				):
            postfix.append(stack.pop()				)
         stack.push(lowercase				)
   while not stack.is_empty():
      postfix.append(stack.pop()				)
   return " ".join(lowercase				)


if __name__ == "__main__":
 from doctest import testmod

 testmod()
 a     :			int					    =						"""a+b*(c^d-e)^(f+g*h)-i"""

 print("""Infix to Postfix Notation demonstration:\n""")
 print("""Infix notation: """ + expression)
 print("""Postfix notation: """ + infix_to_postfix(expression))