





'''simple docstring'''






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  _A :

			@staticmethod
			def 	lowercase__     (   *__magic_name__					:   Dict  ,      **__magic_name__					:   Tuple			)					->    List[Any]:


						"""simple docstring"""

						pass




@is_pipeline_test
@require_torch
@require_vision
class  _A (					unittest.TestCase		):
		lowercase__:   Any				     =   MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING

		def 	lowercase__     (   self					:   Dict  ,      __magic_name__					:   List[Any]  ,      __magic_name__					:   Optional[int]  ,      __magic_name__					:   Any			)					->    str:


					"""simple docstring"""

					__snake_case					:      Tuple							      =     pipeline("""visual-question-answering"""  ,      model="""hf-internal-testing/tiny-vilt-random-vqa"""			)
					__snake_case					:      Union[str, Any]							      =     [
					    {
					        """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 	lowercase__     (   self					:   int  ,      __magic_name__					:   Tuple  ,      __magic_name__					:   Tuple			)					->    Dict:


					"""simple docstring"""

					__snake_case					:      Optional[int]							      =     vqa_pipeline(__magic_name__  ,      top_k=1			)
					self.assertEqual(
					    __magic_name__  ,      [
					        [{"""score""": ANY(__magic_name__			), """answer""": ANY(__magic_name__			)}],
					        [{"""score""": ANY(__magic_name__			), """answer""": ANY(__magic_name__			)}],
					    ]  ,      )

		@require_torch
		def 	lowercase__     (   self					:   Union[str, Any]			)					->    Optional[Any]:


					"""simple docstring"""

					__snake_case					:      List[str]							      =     pipeline("""visual-question-answering"""  ,      model="""hf-internal-testing/tiny-vilt-random-vqa"""			)
					__snake_case					:      Optional[Any]							      =     """./tests/fixtures/tests_samples/COCO/000000039769.png"""
					__snake_case					:      Any							      =     """How many cats are there?"""

					__snake_case					:      List[Any]							      =     vqa_pipeline(image=__magic_name__  ,      question="""How many cats are there?"""  ,      top_k=2			)
					self.assertEqual(
					    __magic_name__  ,      [{"""score""": ANY(__magic_name__			), """answer""": ANY(__magic_name__			)}, {"""score""": ANY(__magic_name__			), """answer""": ANY(__magic_name__			)}]			)

					__snake_case					:      List[str]							      =     vqa_pipeline({"""image""": image, """question""": question}  ,      top_k=2			)
					self.assertEqual(
					    __magic_name__  ,      [{"""score""": ANY(__magic_name__			), """answer""": ANY(__magic_name__			)}, {"""score""": ANY(__magic_name__			), """answer""": ANY(__magic_name__			)}]			)

		@slow
		@require_torch
		def 	lowercase__     (   self					:   int			)					->    Any:


					"""simple docstring"""

					__snake_case					:      Optional[int]							      =     pipeline("""visual-question-answering"""  ,      model="""dandelin/vilt-b32-finetuned-vqa"""			)
					__snake_case					:      Dict							      =     """./tests/fixtures/tests_samples/COCO/000000039769.png"""
					__snake_case					:      Any							      =     """How many cats are there?"""

					__snake_case					:      Tuple							      =     vqa_pipeline(image=__magic_name__  ,      question=__magic_name__  ,      top_k=2			)
					self.assertEqual(
					    nested_simplify(__magic_name__  ,      decimals=4			)  ,      [{"""score""": 0.8799, """answer""": """2"""}, {"""score""": 0.296, """answer""": """1"""}]			)

					__snake_case					:      str							      =     vqa_pipeline({"""image""": image, """question""": question}  ,      top_k=2			)
					self.assertEqual(
					    nested_simplify(__magic_name__  ,      decimals=4			)  ,      [{"""score""": 0.8799, """answer""": """2"""}, {"""score""": 0.296, """answer""": """1"""}]			)

					__snake_case					:      Tuple							      =     vqa_pipeline(
					    [{"""image""": image, """question""": question}, {"""image""": image, """question""": question}]  ,      top_k=2			)
					self.assertEqual(
					    nested_simplify(__magic_name__  ,      decimals=4			)  ,      [[{"""score""": 0.8799, """answer""": """2"""}, {"""score""": 0.296, """answer""": """1"""}]] * 2  ,      )

		@require_tf
		@unittest.skip("""Visual question answering not implemented in TF"""			)
		def 	lowercase__     (   self					:   Optional[int]			)					->    List[Any]:


					"""simple docstring"""

					pass










'''simple docstring'''







from __future__ import annotations





def 		_UpperCAmelCase (				__A				: str    ,		__A				: str   ):
				a_		:	int									=   get_failure_array(__A   )

				# 2) Step through text searching for pattern
				a_					,      a_		:	Any									=   0, 0  # index into text, pattern
				while i < len(__A   ):
								if pattern[j] == text[i]:
												if j == (len(__A   ) - 1):
																return True
												j += 1

								# if this is a prefix in our pattern
								# just go back far enough to continue
								elif j > 0:
												a_		:	Any									=   failure[j - 1]
												continue
								i += 1
				return False





def 		_UpperCAmelCase (				__A				: str   ):
				a_		:	Optional[Any]									=   [0]
				a_		:	Any									=   0
				a_		:	int									=   1
				while j < len(__A   ):
								if pattern[i] == pattern[j]:
												i += 1
								elif i > 0:
												a_		:	List[Any]									=   failure[i - 1]
												continue
								j += 1
								failure.append(__A   )
				return failure


if __name__ == "__main__":
		# Test 1)
		__lowerCAmelCase									=   'abc1abc12'
		__lowerCAmelCase									=   'alskfjaldsabc1abc1abc12k23adsfabcabc'
		__lowerCAmelCase									=   'alskfjaldsk23adsfabcabc'
		assert kmp(pattern, texta) and not kmp(pattern, texta)

		# Test 2)
		__lowerCAmelCase									=   'ABABX'
		__lowerCAmelCase									=   'ABABZABABYABABX'
		assert kmp(pattern, text)

		# Test 3)
		__lowerCAmelCase									=   'AAAB'
		__lowerCAmelCase									=   'ABAAAAAB'
		assert kmp(pattern, text)

		# Test 4)
		__lowerCAmelCase									=   'abcdabcy'
		__lowerCAmelCase									=   'abcxabcdabxabcdabcdabcy'
		assert kmp(pattern, text)

		# Test 5)
		__lowerCAmelCase									=   'aabaabaaa'
		assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]




