


"""simple docstring"""






def      lowerCamelCase       (     _UpperCamelCase		:      int = 1_0       ,			_UpperCamelCase		:      int = 2_2							)		->       int:

							'''simple docstring'''



							__UpperCAmelCase   :						List[Any]      							=					range(1       ,			_UpperCamelCase							)
							__UpperCAmelCase   :						Optional[int]      							=					range(1       ,			_UpperCamelCase							)
							return sum(
							    1 for power in powers for base in bases if len(str(base**power							)							) == power							)


if __name__ == "__main__":
							print(F"{solution(10, 22) = }")




"""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 lowerCamelCase__							(       *UpperCamelCase    : List[str] ,       **UpperCamelCase    : Any  ):
																			'''simple docstring'''






																			pass





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







					"""simple docstring"""


					__a	       =							MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING






					def lowerCamelCase__							(       self    : List[str] ,       UpperCamelCase    : Tuple ,       UpperCamelCase    : Optional[int] ,       UpperCamelCase    : Tuple  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Optional[int]      							=					pipeline(
												    """zero-shot-object-detection""" ,       model="""hf-internal-testing/tiny-random-owlvit-object-detection"""  )

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






					def lowerCamelCase__							(       self    : int ,       UpperCamelCase    : Optional[int] ,       UpperCamelCase    : List[Any]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Union[str, Any]      							=					object_detector(examples[0] ,       threshold=0.0  )

												__UpperCAmelCase   :						Tuple      							=					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 lowerCamelCase__							(       self    : Optional[int]  ):
												'''simple docstring'''






												pass






					@require_torch
					def lowerCamelCase__							(       self    : Union[str, Any]  ):
												'''simple docstring'''






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

												__UpperCAmelCase   :						Tuple      							=					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""": 0.7235, """label""": """cat""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
												        {"""score""": 0.7218, """label""": """remote""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
												        {"""score""": 0.7184, """label""": """couch""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
												        {"""score""": 0.6748, """label""": """remote""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
												        {"""score""": 0.6656, """label""": """cat""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
												        {"""score""": 0.6614, """label""": """couch""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
												        {"""score""": 0.6456, """label""": """remote""", """box""": {"""xmin""": 494, """ymin""": 105, """xmax""": 521, """ymax""": 127}},
												        {"""score""": 0.642, """label""": """remote""", """box""": {"""xmin""": 67, """ymin""": 274, """xmax""": 93, """ymax""": 297}},
												        {"""score""": 0.6419, """label""": """cat""", """box""": {"""xmin""": 494, """ymin""": 105, """xmax""": 521, """ymax""": 127}},
												    ] ,       )

												__UpperCAmelCase   :						Any      							=					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""": 0.7235, """label""": """cat""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
												            {"""score""": 0.7218, """label""": """remote""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
												            {"""score""": 0.7184, """label""": """couch""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
												            {"""score""": 0.6748, """label""": """remote""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
												            {"""score""": 0.6656, """label""": """cat""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
												            {"""score""": 0.6614, """label""": """couch""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
												            {"""score""": 0.6456, """label""": """remote""", """box""": {"""xmin""": 494, """ymin""": 105, """xmax""": 521, """ymax""": 127}},
												            {"""score""": 0.642, """label""": """remote""", """box""": {"""xmin""": 67, """ymin""": 274, """xmax""": 93, """ymax""": 297}},
												            {"""score""": 0.6419, """label""": """cat""", """box""": {"""xmin""": 494, """ymin""": 105, """xmax""": 521, """ymax""": 127}},
												        ]
												    ] ,       )






					@require_torch
					@slow
					def lowerCamelCase__							(       self    : Optional[int]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Any      							=					pipeline("""zero-shot-object-detection"""  )

												__UpperCAmelCase   :						int      							=					object_detector(
												    """http://images.cocodataset.org/val2017/000000039769.jpg""" ,       candidate_labels=["""cat""", """remote""", """couch"""] ,       )
												self.assertEqual(
												    nested_simplify(UpperCamelCase ,       decimals=4  ) ,       [
												        {"""score""": 0.2868, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
												        {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
												        {"""score""": 0.2537, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 315, """ymax""": 472}},
												        {"""score""": 0.1474, """label""": """remote""", """box""": {"""xmin""": 335, """ymin""": 74, """xmax""": 371, """ymax""": 187}},
												        {"""score""": 0.1208, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 642, """ymax""": 476}},
												    ] ,       )

												__UpperCAmelCase   :						List[str]      							=					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""": 0.2868, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
												            {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
												            {"""score""": 0.2537, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 315, """ymax""": 472}},
												            {"""score""": 0.1474, """label""": """remote""", """box""": {"""xmin""": 335, """ymin""": 74, """xmax""": 371, """ymax""": 187}},
												            {"""score""": 0.1208, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 642, """ymax""": 476}},
												        ],
												        [
												            {"""score""": 0.2868, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
												            {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
												            {"""score""": 0.2537, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 315, """ymax""": 472}},
												            {"""score""": 0.1474, """label""": """remote""", """box""": {"""xmin""": 335, """ymin""": 74, """xmax""": 371, """ymax""": 187}},
												            {"""score""": 0.1208, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 642, """ymax""": 476}},
												        ],
												    ] ,       )






					@require_tf
					@unittest.skip("""Zero Shot Object Detection not implemented in TF"""  )
					def lowerCamelCase__							(       self    : Any  ):
												'''simple docstring'''






												pass






					@require_torch
					@slow
					def lowerCamelCase__							(       self    : str  ):
												'''simple docstring'''






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

												__UpperCAmelCase   :						Any      							=					object_detector(
												    """http://images.cocodataset.org/val2017/000000039769.jpg""" ,       candidate_labels=["""cat""", """remote""", """couch"""] ,       threshold=UpperCamelCase ,       )
												self.assertEqual(
												    nested_simplify(UpperCamelCase ,       decimals=4  ) ,       [
												        {"""score""": 0.2868, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
												        {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
												        {"""score""": 0.2537, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 315, """ymax""": 472}},
												    ] ,       )






					@require_torch
					@slow
					def lowerCamelCase__							(       self    : int  ):
												'''simple docstring'''






												__UpperCAmelCase   :						List[Any]      							=					2
												__UpperCAmelCase   :						Union[str, Any]      							=					pipeline("""zero-shot-object-detection"""  )

												__UpperCAmelCase   :						List[str]      							=					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""": 0.2868, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
												        {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
												    ] ,       )
