


'''simple docstring'''

from maths.prime_check import is_prime

def _SCREAMING_SNAKE_CASE (A			)			->			int:






       """simple docstring"""







       if not isinstance(A    ,					A			):
              lowercase__      =					f"Input value of [number={number}] must be an integer"
              raise TypeError(A			)
       if is_prime(A			) and is_prime(number + 2			):
              return number + 2
       else:
              return -1


if __name__ == "__main__":
 import doctest

 doctest.testmod()








'''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     __lowerCAmelCase		:





       '''simple docstring'''






       @staticmethod
       def  UpperCamelCase__						(*UpperCamelCase       :       Optional[Any]  ,		**UpperCamelCase       :       Tuple					):

              '''simple docstring'''







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





      '''simple docstring'''






      lowerCAmelCase__   :	Optional[int]       =				MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING



      def  UpperCamelCase__						(self       :       int  ,		UpperCamelCase       :       List[str]  ,		UpperCamelCase       :       List[str]  ,		UpperCamelCase       :       str					):

             '''simple docstring'''







             lowercase__      =					pipeline(
                 '''zero-shot-object-detection'''  ,		model='''hf-internal-testing/tiny-random-owlvit-object-detection'''					)

             lowercase__      =					[
                 {
                     '''image''': '''./tests/fixtures/tests_samples/COCO/000000039769.png''',
                     '''candidate_labels''': ['''cat''', '''remote''', '''couch'''],
                 }
             ]
             return object_detector, examples



      def  UpperCamelCase__						(self       :       Optional[Any]  ,		UpperCamelCase       :       Tuple  ,		UpperCamelCase       :       Optional[int]					):

             '''simple docstring'''







             lowercase__      =					object_detector(examples[0]  ,		threshold=0.0					)

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



      @require_tf
      @unittest.skip('''Zero Shot Object Detection not implemented in TF'''					)
      def  UpperCamelCase__						(self       :       str					):

             '''simple docstring'''







             pass



      @require_torch
      def  UpperCamelCase__						(self       :       Any					):

             '''simple docstring'''







             lowercase__      =					pipeline(
                 '''zero-shot-object-detection'''  ,		model='''hf-internal-testing/tiny-random-owlvit-object-detection'''					)

             lowercase__      =					object_detector(
                 '''./tests/fixtures/tests_samples/COCO/000000039769.png'''  ,		candidate_labels=['''cat''', '''remote''', '''couch''']  ,		threshold=0.64  ,		)

             self.assertEqual(
                 nested_simplify(UpperCamelCase  ,		decimals=4					)  ,		[
                     {'''score''': 0.72_35, '''label''': '''cat''', '''box''': {'''xmin''': 204, '''ymin''': 167, '''xmax''': 232, '''ymax''': 190}},
                     {'''score''': 0.72_18, '''label''': '''remote''', '''box''': {'''xmin''': 204, '''ymin''': 167, '''xmax''': 232, '''ymax''': 190}},
                     {'''score''': 0.71_84, '''label''': '''couch''', '''box''': {'''xmin''': 204, '''ymin''': 167, '''xmax''': 232, '''ymax''': 190}},
                     {'''score''': 0.67_48, '''label''': '''remote''', '''box''': {'''xmin''': 571, '''ymin''': 83, '''xmax''': 598, '''ymax''': 103}},
                     {'''score''': 0.66_56, '''label''': '''cat''', '''box''': {'''xmin''': 571, '''ymin''': 83, '''xmax''': 598, '''ymax''': 103}},
                     {'''score''': 0.66_14, '''label''': '''couch''', '''box''': {'''xmin''': 571, '''ymin''': 83, '''xmax''': 598, '''ymax''': 103}},
                     {'''score''': 0.64_56, '''label''': '''remote''', '''box''': {'''xmin''': 494, '''ymin''': 105, '''xmax''': 521, '''ymax''': 127}},
                     {'''score''': 0.6_42, '''label''': '''remote''', '''box''': {'''xmin''': 67, '''ymin''': 274, '''xmax''': 93, '''ymax''': 297}},
                     {'''score''': 0.64_19, '''label''': '''cat''', '''box''': {'''xmin''': 494, '''ymin''': 105, '''xmax''': 521, '''ymax''': 127}},
                 ]  ,		)

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

             self.assertEqual(
                 nested_simplify(UpperCamelCase  ,		decimals=4					)  ,		[
                     [
                         {'''score''': 0.72_35, '''label''': '''cat''', '''box''': {'''xmin''': 204, '''ymin''': 167, '''xmax''': 232, '''ymax''': 190}},
                         {'''score''': 0.72_18, '''label''': '''remote''', '''box''': {'''xmin''': 204, '''ymin''': 167, '''xmax''': 232, '''ymax''': 190}},
                         {'''score''': 0.71_84, '''label''': '''couch''', '''box''': {'''xmin''': 204, '''ymin''': 167, '''xmax''': 232, '''ymax''': 190}},
                         {'''score''': 0.67_48, '''label''': '''remote''', '''box''': {'''xmin''': 571, '''ymin''': 83, '''xmax''': 598, '''ymax''': 103}},
                         {'''score''': 0.66_56, '''label''': '''cat''', '''box''': {'''xmin''': 571, '''ymin''': 83, '''xmax''': 598, '''ymax''': 103}},
                         {'''score''': 0.66_14, '''label''': '''couch''', '''box''': {'''xmin''': 571, '''ymin''': 83, '''xmax''': 598, '''ymax''': 103}},
                         {'''score''': 0.64_56, '''label''': '''remote''', '''box''': {'''xmin''': 494, '''ymin''': 105, '''xmax''': 521, '''ymax''': 127}},
                         {'''score''': 0.6_42, '''label''': '''remote''', '''box''': {'''xmin''': 67, '''ymin''': 274, '''xmax''': 93, '''ymax''': 297}},
                         {'''score''': 0.64_19, '''label''': '''cat''', '''box''': {'''xmin''': 494, '''ymin''': 105, '''xmax''': 521, '''ymax''': 127}},
                     ]
                 ]  ,		)



      @require_torch
      @slow
      def  UpperCamelCase__						(self       :       str					):

             '''simple docstring'''







             lowercase__      =					pipeline('''zero-shot-object-detection'''					)

             lowercase__      =					object_detector(
                 '''http://images.cocodataset.org/val2017/000000039769.jpg'''  ,		candidate_labels=['''cat''', '''remote''', '''couch''']  ,		)
             self.assertEqual(
                 nested_simplify(UpperCamelCase  ,		decimals=4					)  ,		[
                     {'''score''': 0.28_68, '''label''': '''cat''', '''box''': {'''xmin''': 324, '''ymin''': 20, '''xmax''': 640, '''ymax''': 373}},
                     {'''score''': 0.2_77, '''label''': '''remote''', '''box''': {'''xmin''': 40, '''ymin''': 72, '''xmax''': 177, '''ymax''': 115}},
                     {'''score''': 0.25_37, '''label''': '''cat''', '''box''': {'''xmin''': 1, '''ymin''': 55, '''xmax''': 315, '''ymax''': 472}},
                     {'''score''': 0.14_74, '''label''': '''remote''', '''box''': {'''xmin''': 335, '''ymin''': 74, '''xmax''': 371, '''ymax''': 187}},
                     {'''score''': 0.12_08, '''label''': '''couch''', '''box''': {'''xmin''': 4, '''ymin''': 0, '''xmax''': 642, '''ymax''': 476}},
                 ]  ,		)

             lowercase__      =					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(UpperCamelCase  ,		decimals=4					)  ,		[
                     [
                         {'''score''': 0.28_68, '''label''': '''cat''', '''box''': {'''xmin''': 324, '''ymin''': 20, '''xmax''': 640, '''ymax''': 373}},
                         {'''score''': 0.2_77, '''label''': '''remote''', '''box''': {'''xmin''': 40, '''ymin''': 72, '''xmax''': 177, '''ymax''': 115}},
                         {'''score''': 0.25_37, '''label''': '''cat''', '''box''': {'''xmin''': 1, '''ymin''': 55, '''xmax''': 315, '''ymax''': 472}},
                         {'''score''': 0.14_74, '''label''': '''remote''', '''box''': {'''xmin''': 335, '''ymin''': 74, '''xmax''': 371, '''ymax''': 187}},
                         {'''score''': 0.12_08, '''label''': '''couch''', '''box''': {'''xmin''': 4, '''ymin''': 0, '''xmax''': 642, '''ymax''': 476}},
                     ],
                     [
                         {'''score''': 0.28_68, '''label''': '''cat''', '''box''': {'''xmin''': 324, '''ymin''': 20, '''xmax''': 640, '''ymax''': 373}},
                         {'''score''': 0.2_77, '''label''': '''remote''', '''box''': {'''xmin''': 40, '''ymin''': 72, '''xmax''': 177, '''ymax''': 115}},
                         {'''score''': 0.25_37, '''label''': '''cat''', '''box''': {'''xmin''': 1, '''ymin''': 55, '''xmax''': 315, '''ymax''': 472}},
                         {'''score''': 0.14_74, '''label''': '''remote''', '''box''': {'''xmin''': 335, '''ymin''': 74, '''xmax''': 371, '''ymax''': 187}},
                         {'''score''': 0.12_08, '''label''': '''couch''', '''box''': {'''xmin''': 4, '''ymin''': 0, '''xmax''': 642, '''ymax''': 476}},
                     ],
                 ]  ,		)



      @require_tf
      @unittest.skip('''Zero Shot Object Detection not implemented in TF'''					)
      def  UpperCamelCase__						(self       :       int					):

             '''simple docstring'''







             pass



      @require_torch
      @slow
      def  UpperCamelCase__						(self       :       Tuple					):

             '''simple docstring'''







             lowercase__      =					0.2
             lowercase__      =					pipeline('''zero-shot-object-detection'''					)

             lowercase__      =					object_detector(
                 '''http://images.cocodataset.org/val2017/000000039769.jpg'''  ,		candidate_labels=['''cat''', '''remote''', '''couch''']  ,		threshold=UpperCamelCase  ,		)
             self.assertEqual(
                 nested_simplify(UpperCamelCase  ,		decimals=4					)  ,		[
                     {'''score''': 0.28_68, '''label''': '''cat''', '''box''': {'''xmin''': 324, '''ymin''': 20, '''xmax''': 640, '''ymax''': 373}},
                     {'''score''': 0.2_77, '''label''': '''remote''', '''box''': {'''xmin''': 40, '''ymin''': 72, '''xmax''': 177, '''ymax''': 115}},
                     {'''score''': 0.25_37, '''label''': '''cat''', '''box''': {'''xmin''': 1, '''ymin''': 55, '''xmax''': 315, '''ymax''': 472}},
                 ]  ,		)






      @require_torch
      @slow
      def  UpperCamelCase__						(self       :       Dict					):

             '''simple docstring'''







             lowercase__      =					2
             lowercase__      =					pipeline('''zero-shot-object-detection'''					)

             lowercase__      =					object_detector(
                 '''http://images.cocodataset.org/val2017/000000039769.jpg'''  ,		candidate_labels=['''cat''', '''remote''', '''couch''']  ,		top_k=UpperCamelCase  ,		)
             self.assertEqual(
                 nested_simplify(UpperCamelCase  ,		decimals=4					)  ,		[
                     {'''score''': 0.28_68, '''label''': '''cat''', '''box''': {'''xmin''': 324, '''ymin''': 20, '''xmax''': 640, '''ymax''': 373}},
                     {'''score''': 0.2_77, '''label''': '''remote''', '''box''': {'''xmin''': 40, '''ymin''': 72, '''xmax''': 177, '''ymax''': 115}},
                 ]  ,		)




