





"""simple docstring"""


import unittest

from transformers import MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING, is_vision_available, 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 							lowercase__			:

					"""simple docstring"""







					@staticmethod
					def   _a      (      *_A						,   **_A    ):






											'''simple docstring'''







											pass






@is_pipeline_test
@require_vision
@require_torch
class 							lowercase__			(   unittest.TestCase	):

			"""simple docstring"""
			__lowerCAmelCase     :				Tuple										=  MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING







			def   _a      (      self						,   _A						,   _A						,   _A    ):






									'''simple docstring'''







									UpperCamelCase				:		Dict				   =			pipeline(
									    """zero-shot-object-detection"""						,   model="""hf-internal-testing/tiny-random-owlvit-object-detection"""    )

									UpperCamelCase				:		List[Any]				   =			[
									    {
									        """image""": """./tests/fixtures/tests_samples/COCO/000000039769.png""",
									        """candidate_labels""": ["""cat""", """remote""", """couch"""],
									    }
									]
									return object_detector, examples







			def   _a      (      self						,   _A						,   _A    ):






									'''simple docstring'''







									UpperCamelCase				:		Dict				   =			object_detector(examples[0]						,   threshold=0.0    )

									UpperCamelCase				:		Any				   =			len(_A    )
									self.assertGreater(_A						,   0    )
									self.assertEqual(
									    _A						,   [
									        {
									            """score""": ANY(_A    ),
									            """label""": ANY(_A    ),
									            """box""": {"""xmin""": ANY(_A    ), """ymin""": ANY(_A    ), """xmax""": ANY(_A    ), """ymax""": ANY(_A    )},
									        }
									        for i in range(_A    )
									    ]						,   )







			@require_tf
			@unittest.skip("""Zero Shot Object Detection not implemented in TF"""    )
			def   _a      (      self    ):






									'''simple docstring'''







									pass







			@require_torch
			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		str				   =			pipeline(
									    """zero-shot-object-detection"""						,   model="""hf-internal-testing/tiny-random-owlvit-object-detection"""    )

									UpperCamelCase				:		List[str]				   =			object_detector(
									    """./tests/fixtures/tests_samples/COCO/000000039769.png"""						,   candidate_labels=["""cat""", """remote""", """couch"""]						,   threshold=0.64						,   )

									self.assertEqual(
									    nested_simplify(_A						,   decimals=4    )						,   [
									        {"""score""": 0.72_35, """label""": """cat""", """box""": {"""xmin""": 2_0_4, """ymin""": 1_6_7, """xmax""": 2_3_2, """ymax""": 1_9_0}},
									        {"""score""": 0.72_18, """label""": """remote""", """box""": {"""xmin""": 2_0_4, """ymin""": 1_6_7, """xmax""": 2_3_2, """ymax""": 1_9_0}},
									        {"""score""": 0.71_84, """label""": """couch""", """box""": {"""xmin""": 2_0_4, """ymin""": 1_6_7, """xmax""": 2_3_2, """ymax""": 1_9_0}},
									        {"""score""": 0.67_48, """label""": """remote""", """box""": {"""xmin""": 5_7_1, """ymin""": 8_3, """xmax""": 5_9_8, """ymax""": 1_0_3}},
									        {"""score""": 0.66_56, """label""": """cat""", """box""": {"""xmin""": 5_7_1, """ymin""": 8_3, """xmax""": 5_9_8, """ymax""": 1_0_3}},
									        {"""score""": 0.66_14, """label""": """couch""", """box""": {"""xmin""": 5_7_1, """ymin""": 8_3, """xmax""": 5_9_8, """ymax""": 1_0_3}},
									        {"""score""": 0.64_56, """label""": """remote""", """box""": {"""xmin""": 4_9_4, """ymin""": 1_0_5, """xmax""": 5_2_1, """ymax""": 1_2_7}},
									        {"""score""": 0.6_42, """label""": """remote""", """box""": {"""xmin""": 6_7, """ymin""": 2_7_4, """xmax""": 9_3, """ymax""": 2_9_7}},
									        {"""score""": 0.64_19, """label""": """cat""", """box""": {"""xmin""": 4_9_4, """ymin""": 1_0_5, """xmax""": 5_2_1, """ymax""": 1_2_7}},
									    ]						,   )

									UpperCamelCase				:		Dict				   =			object_detector(
									    [
									        {
									            """image""": """./tests/fixtures/tests_samples/COCO/000000039769.png""",
									            """candidate_labels""": ["""cat""", """remote""", """couch"""],
									        }
									    ]						,   threshold=0.64						,   )

									self.assertEqual(
									    nested_simplify(_A						,   decimals=4    )						,   [
									        [
									            {"""score""": 0.72_35, """label""": """cat""", """box""": {"""xmin""": 2_0_4, """ymin""": 1_6_7, """xmax""": 2_3_2, """ymax""": 1_9_0}},
									            {"""score""": 0.72_18, """label""": """remote""", """box""": {"""xmin""": 2_0_4, """ymin""": 1_6_7, """xmax""": 2_3_2, """ymax""": 1_9_0}},
									            {"""score""": 0.71_84, """label""": """couch""", """box""": {"""xmin""": 2_0_4, """ymin""": 1_6_7, """xmax""": 2_3_2, """ymax""": 1_9_0}},
									            {"""score""": 0.67_48, """label""": """remote""", """box""": {"""xmin""": 5_7_1, """ymin""": 8_3, """xmax""": 5_9_8, """ymax""": 1_0_3}},
									            {"""score""": 0.66_56, """label""": """cat""", """box""": {"""xmin""": 5_7_1, """ymin""": 8_3, """xmax""": 5_9_8, """ymax""": 1_0_3}},
									            {"""score""": 0.66_14, """label""": """couch""", """box""": {"""xmin""": 5_7_1, """ymin""": 8_3, """xmax""": 5_9_8, """ymax""": 1_0_3}},
									            {"""score""": 0.64_56, """label""": """remote""", """box""": {"""xmin""": 4_9_4, """ymin""": 1_0_5, """xmax""": 5_2_1, """ymax""": 1_2_7}},
									            {"""score""": 0.6_42, """label""": """remote""", """box""": {"""xmin""": 6_7, """ymin""": 2_7_4, """xmax""": 9_3, """ymax""": 2_9_7}},
									            {"""score""": 0.64_19, """label""": """cat""", """box""": {"""xmin""": 4_9_4, """ymin""": 1_0_5, """xmax""": 5_2_1, """ymax""": 1_2_7}},
									        ]
									    ]						,   )







			@require_torch
			@slow
			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		List[str]				   =			pipeline("""zero-shot-object-detection"""    )

									UpperCamelCase				:		List[Any]				   =			object_detector(
									    """http://images.cocodataset.org/val2017/000000039769.jpg"""						,   candidate_labels=["""cat""", """remote""", """couch"""]						,   )
									self.assertEqual(
									    nested_simplify(_A						,   decimals=4    )						,   [
									        {"""score""": 0.28_68, """label""": """cat""", """box""": {"""xmin""": 3_2_4, """ymin""": 2_0, """xmax""": 6_4_0, """ymax""": 3_7_3}},
									        {"""score""": 0.2_77, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_2, """xmax""": 1_7_7, """ymax""": 1_1_5}},
									        {"""score""": 0.25_37, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 5_5, """xmax""": 3_1_5, """ymax""": 4_7_2}},
									        {"""score""": 0.14_74, """label""": """remote""", """box""": {"""xmin""": 3_3_5, """ymin""": 7_4, """xmax""": 3_7_1, """ymax""": 1_8_7}},
									        {"""score""": 0.12_08, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 6_4_2, """ymax""": 4_7_6}},
									    ]						,   )

									UpperCamelCase				:		Optional[Any]				   =			object_detector(
									    [
									        {
									            """image""": """http://images.cocodataset.org/val2017/000000039769.jpg""",
									            """candidate_labels""": ["""cat""", """remote""", """couch"""],
									        },
									        {
									            """image""": """http://images.cocodataset.org/val2017/000000039769.jpg""",
									            """candidate_labels""": ["""cat""", """remote""", """couch"""],
									        },
									    ]						,   )
									self.assertEqual(
									    nested_simplify(_A						,   decimals=4    )						,   [
									        [
									            {"""score""": 0.28_68, """label""": """cat""", """box""": {"""xmin""": 3_2_4, """ymin""": 2_0, """xmax""": 6_4_0, """ymax""": 3_7_3}},
									            {"""score""": 0.2_77, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_2, """xmax""": 1_7_7, """ymax""": 1_1_5}},
									            {"""score""": 0.25_37, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 5_5, """xmax""": 3_1_5, """ymax""": 4_7_2}},
									            {"""score""": 0.14_74, """label""": """remote""", """box""": {"""xmin""": 3_3_5, """ymin""": 7_4, """xmax""": 3_7_1, """ymax""": 1_8_7}},
									            {"""score""": 0.12_08, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 6_4_2, """ymax""": 4_7_6}},
									        ],
									        [
									            {"""score""": 0.28_68, """label""": """cat""", """box""": {"""xmin""": 3_2_4, """ymin""": 2_0, """xmax""": 6_4_0, """ymax""": 3_7_3}},
									            {"""score""": 0.2_77, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_2, """xmax""": 1_7_7, """ymax""": 1_1_5}},
									            {"""score""": 0.25_37, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 5_5, """xmax""": 3_1_5, """ymax""": 4_7_2}},
									            {"""score""": 0.14_74, """label""": """remote""", """box""": {"""xmin""": 3_3_5, """ymin""": 7_4, """xmax""": 3_7_1, """ymax""": 1_8_7}},
									            {"""score""": 0.12_08, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 6_4_2, """ymax""": 4_7_6}},
									        ],
									    ]						,   )







			@require_tf
			@unittest.skip("""Zero Shot Object Detection not implemented in TF"""    )
			def   _a      (      self    ):






									'''simple docstring'''







									pass







			@require_torch
			@slow
			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		Tuple				   =			0.2
									UpperCamelCase				:		List[Any]				   =			pipeline("""zero-shot-object-detection"""    )

									UpperCamelCase				:		Tuple				   =			object_detector(
									    """http://images.cocodataset.org/val2017/000000039769.jpg"""						,   candidate_labels=["""cat""", """remote""", """couch"""]						,   threshold=_A						,   )
									self.assertEqual(
									    nested_simplify(_A						,   decimals=4    )						,   [
									        {"""score""": 0.28_68, """label""": """cat""", """box""": {"""xmin""": 3_2_4, """ymin""": 2_0, """xmax""": 6_4_0, """ymax""": 3_7_3}},
									        {"""score""": 0.2_77, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_2, """xmax""": 1_7_7, """ymax""": 1_1_5}},
									        {"""score""": 0.25_37, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 5_5, """xmax""": 3_1_5, """ymax""": 4_7_2}},
									    ]						,   )







			@require_torch
			@slow
			def   _a      (      self    ):






									'''simple docstring'''







									UpperCamelCase				:		Tuple				   =			2
									UpperCamelCase				:		Tuple				   =			pipeline("""zero-shot-object-detection"""    )

									UpperCamelCase				:		Union[str, Any]				   =			object_detector(
									    """http://images.cocodataset.org/val2017/000000039769.jpg"""						,   candidate_labels=["""cat""", """remote""", """couch"""]						,   top_k=_A						,   )
									self.assertEqual(
									    nested_simplify(_A						,   decimals=4    )						,   [
									        {"""score""": 0.28_68, """label""": """cat""", """box""": {"""xmin""": 3_2_4, """ymin""": 2_0, """xmax""": 6_4_0, """ymax""": 3_7_3}},
									        {"""score""": 0.2_77, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_2, """xmax""": 1_7_7, """ymax""": 1_1_5}},
									    ]						,   )










"""simple docstring"""


def      UpperCamelCase							(SCREAMING_SNAKE_CASE     ):
						UpperCamelCase				:		int				   =			0

						# if input_string is "aba" than new_input_string become "a|b|a"
						UpperCamelCase				:		str				   =			""""""
						UpperCamelCase				:		Dict				   =			""""""

						# append each character + "|" in new_string for range(0, length-1)
						for i in input_string[: len(SCREAMING_SNAKE_CASE     ) - 1]:
												new_input_string += i + "|"
						# append last character
						new_input_string += input_string[-1]

						# we will store the starting and ending of previous furthest ending palindromic
						# substring
						UpperCamelCase   ,						UpperCamelCase				:		int				   =			0, 0

						# length[i] shows the length of palindromic substring with center i
						UpperCamelCase				:		List[Any]				   =			[1 for i in range(len(SCREAMING_SNAKE_CASE     )     )]

						# for each character in new_string find corresponding palindromic string
						UpperCamelCase				:		Optional[Any]				   =			0
						for j in range(len(SCREAMING_SNAKE_CASE     )     ):
												UpperCamelCase				:		Union[str, Any]				   =			1 if j > r else min(length[l + r - j] // 2							,     r - j + 1     )
												while (
												    j - k >= 0
												    and j + k < len(SCREAMING_SNAKE_CASE     )
												    and new_input_string[k + j] == new_input_string[j - k]
												):
																		k += 1

												UpperCamelCase				:		int				   =			2 * k - 1

												# does this string is ending after the previously explored end (that is r) ?
												# if yes the update the new r to the last index of this
												if j + k - 1 > r:
																		UpperCamelCase				:		int				   =			j - k + 1  # noqa: E741
																		UpperCamelCase				:		List[Any]				   =			j + k - 1

												# update max_length and start position
												if max_length < length[j]:
																		UpperCamelCase				:		List[str]				   =			length[j]
																		UpperCamelCase				:		List[str]				   =			j

    # create that string
						UpperCamelCase				:		Optional[Any]				   =			new_input_string[start - max_length // 2 : start + max_length // 2 + 1]
						for i in s:
												if i != "|":
																		output_string += i

						return output_string


if __name__ == "__main__":
		import doctest

		doctest.testmod()



