


import unittest

from transformers import MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING, is_vision_available
from transformers.pipelines import pipeline
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_tf,
    require_torch,
    require_vision,
    slow,
)

from .test_pipelines_common import ANY


if is_vision_available():
	from PIL import Image
else:
	class 	lowerCamelCase_       :



						'''simple docstring'''







						@staticmethod
						def A      (				*snake_case_ ,       **snake_case_						)   ->			Tuple:







									'''simple docstring'''

									pass
@is_pipeline_test
@require_torch
@require_vision
class 	lowerCamelCase_       (				unittest.TestCase				):



					'''simple docstring'''







					__UpperCAmelCase            =				MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING






					def A      (				self ,       snake_case_ ,       snake_case_ ,       snake_case_						)   ->			List[str]:







								'''simple docstring'''

								__lowercase 					=   pipeline('''visual-question-answering''' ,       model='''hf-internal-testing/tiny-vilt-random-vqa'''						)
								__lowercase 					=   [
								    {
								        '''image''': Image.open('''./tests/fixtures/tests_samples/COCO/000000039769.png'''						),
								        '''question''': '''How many cats are there?''',
								    },
								    {
								        '''image''': '''./tests/fixtures/tests_samples/COCO/000000039769.png''',
								        '''question''': '''How many cats are there?''',
								    },
								]
								return vqa_pipeline, examples






					def A      (				self ,       snake_case_ ,       snake_case_						)   ->			int:







								'''simple docstring'''

								__lowercase 					=   vqa_pipeline(snake_case_ ,       top_k=1						)
								self.assertEqual(
								    snake_case_ ,       [
								        [{'''score''': ANY(snake_case_						), '''answer''': ANY(snake_case_						)}],
								        [{'''score''': ANY(snake_case_						), '''answer''': ANY(snake_case_						)}],
								    ] ,       )






					@require_torch
					def A      (				self						)   ->			List[Any]:







								'''simple docstring'''

								__lowercase 					=   pipeline('''visual-question-answering''' ,       model='''hf-internal-testing/tiny-vilt-random-vqa'''						)
								__lowercase 					=   '''./tests/fixtures/tests_samples/COCO/000000039769.png'''
								__lowercase 					=   '''How many cats are there?'''

								__lowercase 					=   vqa_pipeline(image=snake_case_ ,       question='''How many cats are there?''' ,       top_k=2						)
								self.assertEqual(
								    snake_case_ ,       [{'''score''': ANY(snake_case_						), '''answer''': ANY(snake_case_						)}, {'''score''': ANY(snake_case_						), '''answer''': ANY(snake_case_						)}]						)

								__lowercase 					=   vqa_pipeline({'''image''': image, '''question''': question} ,       top_k=2						)
								self.assertEqual(
								    snake_case_ ,       [{'''score''': ANY(snake_case_						), '''answer''': ANY(snake_case_						)}, {'''score''': ANY(snake_case_						), '''answer''': ANY(snake_case_						)}]						)






					@slow
					@require_torch
					def A      (				self						)   ->			int:







								'''simple docstring'''

								__lowercase 					=   pipeline('''visual-question-answering''' ,       model='''dandelin/vilt-b32-finetuned-vqa'''						)
								__lowercase 					=   '''./tests/fixtures/tests_samples/COCO/000000039769.png'''
								__lowercase 					=   '''How many cats are there?'''

								__lowercase 					=   vqa_pipeline(image=snake_case_ ,       question=snake_case_ ,       top_k=2						)
								self.assertEqual(
								    nested_simplify(snake_case_ ,       decimals=4						) ,       [{'''score''': 0.8_7_9_9, '''answer''': '''2'''}, {'''score''': 0.2_9_6, '''answer''': '''1'''}]						)

								__lowercase 					=   vqa_pipeline({'''image''': image, '''question''': question} ,       top_k=2						)
								self.assertEqual(
								    nested_simplify(snake_case_ ,       decimals=4						) ,       [{'''score''': 0.8_7_9_9, '''answer''': '''2'''}, {'''score''': 0.2_9_6, '''answer''': '''1'''}]						)

								__lowercase 					=   vqa_pipeline(
								    [{'''image''': image, '''question''': question}, {'''image''': image, '''question''': question}] ,       top_k=2						)
								self.assertEqual(
								    nested_simplify(snake_case_ ,       decimals=4						) ,       [[{'''score''': 0.8_7_9_9, '''answer''': '''2'''}, {'''score''': 0.2_9_6, '''answer''': '''1'''}]] * 2 ,       )






					@require_tf
					@unittest.skip('''Visual question answering not implemented in TF'''						)
					def A      (				self						)   ->			List[Any]:







								'''simple docstring'''

								pass






def 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







			__lowercase 					=   []
			__lowercase 					=   []
			__lowercase 					=   {
			    '''^''': 3,
			    '''*''': 2,
			    '''/''': 2,
			    '''%''': 2,
			    '''+''': 1,
			    '''-''': 1,
			}  # Priority of each operator
			__lowercase 					=   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 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







			__lowercase 					=   list(infix[::-1]  )  # reverse the infix equation

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

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


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


