





'''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 					UpperCAmelCase	:




            @staticmethod
            def 							lowercase__       (     *__snake_case     :					Union[str, Any]     ,     **__snake_case     :					List[str]    )							-> Tuple:
                  pass




@is_pipeline_test
@require_vision
@require_torch
class 					UpperCAmelCase	(     unittest.TestCase  ):
      _lowercase:     Tuple			=  MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING




      def 							lowercase__       (     self     :					Any     ,     __snake_case     :					Tuple     ,     __snake_case     :					Dict     ,     __snake_case     :					Tuple    )							-> List[Any]:
            _lowerCAmelCase					=				pipeline(
                """zero-shot-object-detection"""     ,     model="""hf-internal-testing/tiny-random-owlvit-object-detection"""    )

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




      def 							lowercase__       (     self     :					Union[str, Any]     ,     __snake_case     :					Union[str, Any]     ,     __snake_case     :					Union[str, Any]    )							-> List[Any]:
            _lowerCAmelCase					=				object_detector(examples[0]     ,     threshold=0.0    )

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




      @require_tf
      @unittest.skip("""Zero Shot Object Detection not implemented in TF"""    )
      def 							lowercase__       (     self     :					Dict    )							-> List[Any]:
            pass




      @require_torch
      def 							lowercase__       (     self     :					str    )							-> Optional[Any]:
            _lowerCAmelCase					=				pipeline(
                """zero-shot-object-detection"""     ,     model="""hf-internal-testing/tiny-random-owlvit-object-detection"""    )

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

            self.assertEqual(
                nested_simplify(__snake_case     ,     decimals=4    )     ,     [
                    {"""score""": 0.72_35, """label""": """cat""", """box""": {"""xmin""": 2_04, """ymin""": 1_67, """xmax""": 2_32, """ymax""": 1_90}},
                    {"""score""": 0.72_18, """label""": """remote""", """box""": {"""xmin""": 2_04, """ymin""": 1_67, """xmax""": 2_32, """ymax""": 1_90}},
                    {"""score""": 0.71_84, """label""": """couch""", """box""": {"""xmin""": 2_04, """ymin""": 1_67, """xmax""": 2_32, """ymax""": 1_90}},
                    {"""score""": 0.67_48, """label""": """remote""", """box""": {"""xmin""": 5_71, """ymin""": 83, """xmax""": 5_98, """ymax""": 1_03}},
                    {"""score""": 0.66_56, """label""": """cat""", """box""": {"""xmin""": 5_71, """ymin""": 83, """xmax""": 5_98, """ymax""": 1_03}},
                    {"""score""": 0.66_14, """label""": """couch""", """box""": {"""xmin""": 5_71, """ymin""": 83, """xmax""": 5_98, """ymax""": 1_03}},
                    {"""score""": 0.64_56, """label""": """remote""", """box""": {"""xmin""": 4_94, """ymin""": 1_05, """xmax""": 5_21, """ymax""": 1_27}},
                    {"""score""": 0.6_42, """label""": """remote""", """box""": {"""xmin""": 67, """ymin""": 2_74, """xmax""": 93, """ymax""": 2_97}},
                    {"""score""": 0.64_19, """label""": """cat""", """box""": {"""xmin""": 4_94, """ymin""": 1_05, """xmax""": 5_21, """ymax""": 1_27}},
                ]     ,     )

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

            self.assertEqual(
                nested_simplify(__snake_case     ,     decimals=4    )     ,     [
                    [
                        {"""score""": 0.72_35, """label""": """cat""", """box""": {"""xmin""": 2_04, """ymin""": 1_67, """xmax""": 2_32, """ymax""": 1_90}},
                        {"""score""": 0.72_18, """label""": """remote""", """box""": {"""xmin""": 2_04, """ymin""": 1_67, """xmax""": 2_32, """ymax""": 1_90}},
                        {"""score""": 0.71_84, """label""": """couch""", """box""": {"""xmin""": 2_04, """ymin""": 1_67, """xmax""": 2_32, """ymax""": 1_90}},
                        {"""score""": 0.67_48, """label""": """remote""", """box""": {"""xmin""": 5_71, """ymin""": 83, """xmax""": 5_98, """ymax""": 1_03}},
                        {"""score""": 0.66_56, """label""": """cat""", """box""": {"""xmin""": 5_71, """ymin""": 83, """xmax""": 5_98, """ymax""": 1_03}},
                        {"""score""": 0.66_14, """label""": """couch""", """box""": {"""xmin""": 5_71, """ymin""": 83, """xmax""": 5_98, """ymax""": 1_03}},
                        {"""score""": 0.64_56, """label""": """remote""", """box""": {"""xmin""": 4_94, """ymin""": 1_05, """xmax""": 5_21, """ymax""": 1_27}},
                        {"""score""": 0.6_42, """label""": """remote""", """box""": {"""xmin""": 67, """ymin""": 2_74, """xmax""": 93, """ymax""": 2_97}},
                        {"""score""": 0.64_19, """label""": """cat""", """box""": {"""xmin""": 4_94, """ymin""": 1_05, """xmax""": 5_21, """ymax""": 1_27}},
                    ]
                ]     ,     )




      @require_torch
      @slow
      def 							lowercase__       (     self     :					Any    )							-> Any:
            _lowerCAmelCase					=				pipeline("""zero-shot-object-detection"""    )

            _lowerCAmelCase					=				object_detector(
                """http://images.cocodataset.org/val2017/000000039769.jpg"""     ,     candidate_labels=["""cat""", """remote""", """couch"""]     ,     )
            self.assertEqual(
                nested_simplify(__snake_case     ,     decimals=4    )     ,     [
                    {"""score""": 0.28_68, """label""": """cat""", """box""": {"""xmin""": 3_24, """ymin""": 20, """xmax""": 6_40, """ymax""": 3_73}},
                    {"""score""": 0.2_77, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 1_77, """ymax""": 1_15}},
                    {"""score""": 0.25_37, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 3_15, """ymax""": 4_72}},
                    {"""score""": 0.14_74, """label""": """remote""", """box""": {"""xmin""": 3_35, """ymin""": 74, """xmax""": 3_71, """ymax""": 1_87}},
                    {"""score""": 0.12_08, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 6_42, """ymax""": 4_76}},
                ]     ,     )

            _lowerCAmelCase					=				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(__snake_case     ,     decimals=4    )     ,     [
                    [
                        {"""score""": 0.28_68, """label""": """cat""", """box""": {"""xmin""": 3_24, """ymin""": 20, """xmax""": 6_40, """ymax""": 3_73}},
                        {"""score""": 0.2_77, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 1_77, """ymax""": 1_15}},
                        {"""score""": 0.25_37, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 3_15, """ymax""": 4_72}},
                        {"""score""": 0.14_74, """label""": """remote""", """box""": {"""xmin""": 3_35, """ymin""": 74, """xmax""": 3_71, """ymax""": 1_87}},
                        {"""score""": 0.12_08, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 6_42, """ymax""": 4_76}},
                    ],
                    [
                        {"""score""": 0.28_68, """label""": """cat""", """box""": {"""xmin""": 3_24, """ymin""": 20, """xmax""": 6_40, """ymax""": 3_73}},
                        {"""score""": 0.2_77, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 1_77, """ymax""": 1_15}},
                        {"""score""": 0.25_37, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 3_15, """ymax""": 4_72}},
                        {"""score""": 0.14_74, """label""": """remote""", """box""": {"""xmin""": 3_35, """ymin""": 74, """xmax""": 3_71, """ymax""": 1_87}},
                        {"""score""": 0.12_08, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 6_42, """ymax""": 4_76}},
                    ],
                ]     ,     )




      @require_tf
      @unittest.skip("""Zero Shot Object Detection not implemented in TF"""    )
      def 							lowercase__       (     self     :					Optional[int]    )							-> int:
            pass




      @require_torch
      @slow
      def 							lowercase__       (     self     :					Union[str, Any]    )							-> Union[str, Any]:
            _lowerCAmelCase					=				0.2
            _lowerCAmelCase					=				pipeline("""zero-shot-object-detection"""    )

            _lowerCAmelCase					=				object_detector(
                """http://images.cocodataset.org/val2017/000000039769.jpg"""     ,     candidate_labels=["""cat""", """remote""", """couch"""]     ,     threshold=__snake_case     ,     )
            self.assertEqual(
                nested_simplify(__snake_case     ,     decimals=4    )     ,     [
                    {"""score""": 0.28_68, """label""": """cat""", """box""": {"""xmin""": 3_24, """ymin""": 20, """xmax""": 6_40, """ymax""": 3_73}},
                    {"""score""": 0.2_77, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 1_77, """ymax""": 1_15}},
                    {"""score""": 0.25_37, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 3_15, """ymax""": 4_72}},
                ]     ,     )




      @require_torch
      @slow
      def 							lowercase__       (     self     :					int    )							-> int:
            _lowerCAmelCase					=				2
            _lowerCAmelCase					=				pipeline("""zero-shot-object-detection"""    )

            _lowerCAmelCase					=				object_detector(
                """http://images.cocodataset.org/val2017/000000039769.jpg"""     ,     candidate_labels=["""cat""", """remote""", """couch"""]     ,     top_k=__snake_case     ,     )
            self.assertEqual(
                nested_simplify(__snake_case     ,     decimals=4    )     ,     [
                    {"""score""": 0.28_68, """label""": """cat""", """box""": {"""xmin""": 3_24, """ymin""": 20, """xmax""": 6_40, """ymax""": 3_73}},
                    {"""score""": 0.2_77, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 1_77, """ymax""": 1_15}},
                ]     ,     )













'''simple docstring'''






class 					UpperCAmelCase	:




      def __init__(     self     :					List[str]     ,     __snake_case     :					str    )							-> Union[str, Any]:
            _lowerCAmelCase					=				val
            _lowerCAmelCase					=				None
            _lowerCAmelCase					=				None




      def 							lowercase__       (     self     :					Optional[Any]     ,     __snake_case     :					int    )							-> Optional[int]:
            if self.val:
                  if val < self.val:
                        if self.left is None:
                              _lowerCAmelCase					=				Node(__snake_case    )
                        else:
                              self.left.insert(__snake_case    )
                  elif val > self.val:
                        if self.right is None:
                              _lowerCAmelCase					=				Node(__snake_case    )
                        else:
                              self.right.insert(__snake_case    )
            else:
                  _lowerCAmelCase					=				val




def   UpperCamelCase__ (						lowerCAmelCase				,      lowerCAmelCase    ):





      """simple docstring"""


      if root:
            inorder(root.left				,      lowerCAmelCase    )
            res.append(root.val    )
            inorder(root.right				,      lowerCAmelCase    )
def   UpperCamelCase__ (						lowerCAmelCase    ):





      """simple docstring"""


      if len(lowerCAmelCase    ) == 0:
            return arr
      _lowerCAmelCase					=				Node(arr[0]    )
      for i in range(1				,      len(lowerCAmelCase    )    ):
            root.insert(arr[i]    )
      # Traverse BST in order.
      _lowerCAmelCase					=				[]
      inorder(lowerCAmelCase				,      lowerCAmelCase    )
      return res


if __name__ == "__main__":
      print(tree_sort([10, 1, 3, 2, 9, 14, 13]))






