
'''simple docstring'''


import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
   from PIL import Image

   from transformers import AutoProcessor, BertTokenizer, BlipImageProcessor, BlipProcessor, PreTrainedTokenizerFast


@require_vision
class 						lowercase__	(  unittest.TestCase   ):






   '''simple docstring'''







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  tempfile.mkdtemp()

      UpperCamelCase       =  BlipImageProcessor()
      UpperCamelCase       =  BertTokenizer.from_pretrained('''hf-internal-testing/tiny-random-BertModel'''   )

      UpperCamelCase       =  BlipProcessor(_lowerCAmelCase ,   _lowerCAmelCase   )

      processor.save_pretrained(self.tmpdirname   )







   def       UpperCAmelCase				(			self ,   **lowerCamelCase__   ):

      '''simple docstring'''







      return AutoProcessor.from_pretrained(self.tmpdirname ,   **_lowerCAmelCase   ).tokenizer







   def       UpperCAmelCase				(			self ,   **lowerCamelCase__   ):

      '''simple docstring'''







      return AutoProcessor.from_pretrained(self.tmpdirname ,   **_lowerCAmelCase   ).image_processor







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      shutil.rmtree(self.tmpdirname   )







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  [np.random.randint(2_5_5 ,   size=(3, 3_0, 4_0_0) ,   dtype=np.uinta   )]

      UpperCamelCase       =  [Image.fromarray(np.moveaxis(_lowerCAmelCase ,   0 ,   -1   )   ) for x in image_inputs]

      return image_inputs







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  BlipProcessor(tokenizer=self.get_tokenizer() ,   image_processor=self.get_image_processor()   )
      processor.save_pretrained(self.tmpdirname   )

      UpperCamelCase       =  self.get_tokenizer(bos_token='''(BOS)''' ,   eos_token='''(EOS)'''   )
      UpperCamelCase       =  self.get_image_processor(do_normalize=_lowerCAmelCase ,   padding_value=1.0   )

      UpperCamelCase       =  BlipProcessor.from_pretrained(
          self.tmpdirname ,   bos_token='''(BOS)''' ,   eos_token='''(EOS)''' ,   do_normalize=_lowerCAmelCase ,   padding_value=1.0   )

      self.assertEqual(processor.tokenizer.get_vocab() ,   tokenizer_add_kwargs.get_vocab()   )
      self.assertIsInstance(processor.tokenizer ,   _lowerCAmelCase   )

      self.assertEqual(processor.image_processor.to_json_string() ,   image_processor_add_kwargs.to_json_string()   )
      self.assertIsInstance(processor.image_processor ,   _lowerCAmelCase   )







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  self.get_image_processor()
      UpperCamelCase       =  self.get_tokenizer()

      UpperCamelCase       =  BlipProcessor(tokenizer=_lowerCAmelCase ,   image_processor=_lowerCAmelCase   )

      UpperCamelCase       =  self.prepare_image_inputs()

      UpperCamelCase       =  image_processor(_lowerCAmelCase ,   return_tensors='''np'''   )
      UpperCamelCase       =  processor(images=_lowerCAmelCase ,   return_tensors='''np'''   )

      for key in input_feat_extract.keys():
         self.assertAlmostEqual(input_feat_extract[key].sum() ,   input_processor[key].sum() ,   delta=1e-2   )







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  self.get_image_processor()
      UpperCamelCase       =  self.get_tokenizer()

      UpperCamelCase       =  BlipProcessor(tokenizer=_lowerCAmelCase ,   image_processor=_lowerCAmelCase   )

      UpperCamelCase       =  '''lower newer'''

      UpperCamelCase       =  processor(text=_lowerCAmelCase   )

      UpperCamelCase       =  tokenizer(_lowerCAmelCase ,   return_token_type_ids=_lowerCAmelCase   )

      for key in encoded_tok.keys():
         self.assertListEqual(encoded_tok[key] ,   encoded_processor[key]   )







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  self.get_image_processor()
      UpperCamelCase       =  self.get_tokenizer()

      UpperCamelCase       =  BlipProcessor(tokenizer=_lowerCAmelCase ,   image_processor=_lowerCAmelCase   )

      UpperCamelCase       =  '''lower newer'''
      UpperCamelCase       =  self.prepare_image_inputs()

      UpperCamelCase       =  processor(text=_lowerCAmelCase ,   images=_lowerCAmelCase   )

      self.assertListEqual(list(inputs.keys()   ) ,   ['''pixel_values''', '''input_ids''', '''attention_mask''']   )

      # test if it raises when no input is passed
      with pytest.raises(_lowerCAmelCase   ):
         processor()







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  self.get_image_processor()
      UpperCamelCase       =  self.get_tokenizer()

      UpperCamelCase       =  BlipProcessor(tokenizer=_lowerCAmelCase ,   image_processor=_lowerCAmelCase   )

      UpperCamelCase       =  [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

      UpperCamelCase       =  processor.batch_decode(_lowerCAmelCase   )
      UpperCamelCase       =  tokenizer.batch_decode(_lowerCAmelCase   )

      self.assertListEqual(_lowerCAmelCase ,   _lowerCAmelCase   )







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  self.get_image_processor()
      UpperCamelCase       =  self.get_tokenizer()

      UpperCamelCase       =  BlipProcessor(tokenizer=_lowerCAmelCase ,   image_processor=_lowerCAmelCase   )

      UpperCamelCase       =  '''lower newer'''
      UpperCamelCase       =  self.prepare_image_inputs()

      UpperCamelCase       =  processor(text=_lowerCAmelCase ,   images=_lowerCAmelCase   )

      # For now the processor supports only ['pixel_values', 'input_ids', 'attention_mask']
      self.assertListEqual(list(inputs.keys()   ) ,   ['''pixel_values''', '''input_ids''', '''attention_mask''']   )





'''simple docstring'''


def  __snake_case     (    _UpperCAmelCase					:       Optional[int]):
   UpperCamelCase       =  []
   UpperCamelCase       =  []
   UpperCamelCase       =  {
       '''^''': 3,
       '''*''': 2,
       '''/''': 2,
       '''%''': 2,
       '''+''': 1,
       '''-''': 1,
   }  # Priority of each operator
   UpperCamelCase       =  len(_UpperCAmelCase) if (len(_UpperCAmelCase) > 7) else 7

   # Print table header for output
   print(
       '''Symbol'''.center(8),      '''Stack'''.center(_UpperCAmelCase),      '''Postfix'''.center(_UpperCAmelCase),      sep=''' | ''',      )
   print('''-''' * (print_width * 3 + 7))

   for x in infix:
      if x.isalpha() or x.isdigit():
         post_fix.append(_UpperCAmelCase)  # if x is Alphabet / Digit, add it to Postfix
      elif x == "(":
         stack.append(_UpperCAmelCase)  # if x is "(" push to Stack
      elif x == ")":  # if x is ")" pop stack until "(" is encountered
         while stack[-1] != "(":
            post_fix.append(stack.pop())  # Pop stack & add the content to Postfix
         stack.pop()
      else:
         if len(_UpperCAmelCase) == 0:
            stack.append(_UpperCAmelCase)  # If stack is empty, push x to stack
         else:  # while priority of x is not > priority of element in the stack
            while len(_UpperCAmelCase) > 0 and priority[x] <= priority[stack[-1]]:
               post_fix.append(stack.pop())  # pop stack & add to Postfix
            stack.append(_UpperCAmelCase)  # push x to stack

      print(
          x.center(8),      (''''''.join(_UpperCAmelCase)).ljust(_UpperCAmelCase),      (''''''.join(_UpperCAmelCase)).ljust(_UpperCAmelCase),      sep=''' | ''',      )  # Output in tabular format

   while len(_UpperCAmelCase) > 0:  # while stack is not empty
      post_fix.append(stack.pop())  # pop stack & add to Postfix
      print(
          ''' '''.center(8),      (''''''.join(_UpperCAmelCase)).ljust(_UpperCAmelCase),      (''''''.join(_UpperCAmelCase)).ljust(_UpperCAmelCase),      sep=''' | ''',      )  # Output in tabular format

   return "".join(_UpperCAmelCase)  # return Postfix as str



def  __snake_case     (    _UpperCAmelCase					:       str):
   UpperCamelCase       =  list(infix[::-1])  # reverse the infix equation

   for i in range(len(_UpperCAmelCase)):
      if infix[i] == "(":
         UpperCamelCase       =  ''')'''  # change "(" to ")"
      elif infix[i] == ")":
         UpperCamelCase       =  '''('''  # change ")" to "("

   return (infix_2_postfix(''''''.join(_UpperCAmelCase)))[
       ::-1
   ]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
   snake_case_ :  str     =					input('\nEnter an Infix Equation = ')  # Input an Infix equation
   snake_case_ :  Union[str, Any]     =					''.join(Infix.split())  # Remove spaces from the input
   print('\n\t', Infix, '(Infix) -> ', infix_2_prefix(Infix), '(Prefix)')





