



"""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 					a	:



     @staticmethod
     def 	lowerCamelCase__       (						*lowerCAmelCase :					Tuple       ,		**lowerCAmelCase :					Optional[int]		)     ->					Optional[int]:


        '''simple docstring'''




        pass
@is_pipeline_test
@require_vision
@require_torch
class 					a	(  unittest.TestCase       ):
  UpperCamelCase	:				Union[str, Any]     						=					MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING



  def 	lowerCamelCase__       (						self :					int       ,		lowerCAmelCase :					str       ,		lowerCAmelCase :					Union[str, Any]       ,		lowerCAmelCase :					Tuple		)     ->					List[str]:


     '''simple docstring'''




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

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



  def 	lowerCamelCase__       (						self :					str       ,		lowerCAmelCase :					List[str]       ,		lowerCAmelCase :					List[str]		)     ->					Any:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Optional[Any]     			=object_detector(examples[0]       ,		threshold=0.0		)

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



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


     '''simple docstring'''




     pass



  @require_torch
  def 	lowerCamelCase__       (						self :					Tuple		)     ->					List[Any]:


     '''simple docstring'''




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

     SCREAMING_SNAKE_CASE_: int     			=object_detector(
         """./tests/fixtures/tests_samples/COCO/000000039769.png"""       ,		candidate_labels=["""cat""", """remote""", """couch"""]       ,		threshold=0.6_4       ,		)

     self.assertEqual(
         nested_simplify(lowerCAmelCase       ,		decimals=4		)       ,		[
             {"""score""": 0.7_2_3_5, """label""": """cat""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
             {"""score""": 0.7_2_1_8, """label""": """remote""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
             {"""score""": 0.7_1_8_4, """label""": """couch""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
             {"""score""": 0.6_7_4_8, """label""": """remote""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
             {"""score""": 0.6_6_5_6, """label""": """cat""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
             {"""score""": 0.6_6_1_4, """label""": """couch""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
             {"""score""": 0.6_4_5_6, """label""": """remote""", """box""": {"""xmin""": 494, """ymin""": 105, """xmax""": 521, """ymax""": 127}},
             {"""score""": 0.6_4_2, """label""": """remote""", """box""": {"""xmin""": 67, """ymin""": 274, """xmax""": 93, """ymax""": 297}},
             {"""score""": 0.6_4_1_9, """label""": """cat""", """box""": {"""xmin""": 494, """ymin""": 105, """xmax""": 521, """ymax""": 127}},
         ]       ,		)

     SCREAMING_SNAKE_CASE_: Optional[Any]     			=object_detector(
         [
             {
                 """image""": """./tests/fixtures/tests_samples/COCO/000000039769.png""",
                 """candidate_labels""": ["""cat""", """remote""", """couch"""],
             }
         ]       ,		threshold=0.6_4       ,		)

     self.assertEqual(
         nested_simplify(lowerCAmelCase       ,		decimals=4		)       ,		[
             [
                 {"""score""": 0.7_2_3_5, """label""": """cat""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
                 {"""score""": 0.7_2_1_8, """label""": """remote""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
                 {"""score""": 0.7_1_8_4, """label""": """couch""", """box""": {"""xmin""": 204, """ymin""": 167, """xmax""": 232, """ymax""": 190}},
                 {"""score""": 0.6_7_4_8, """label""": """remote""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
                 {"""score""": 0.6_6_5_6, """label""": """cat""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
                 {"""score""": 0.6_6_1_4, """label""": """couch""", """box""": {"""xmin""": 571, """ymin""": 83, """xmax""": 598, """ymax""": 103}},
                 {"""score""": 0.6_4_5_6, """label""": """remote""", """box""": {"""xmin""": 494, """ymin""": 105, """xmax""": 521, """ymax""": 127}},
                 {"""score""": 0.6_4_2, """label""": """remote""", """box""": {"""xmin""": 67, """ymin""": 274, """xmax""": 93, """ymax""": 297}},
                 {"""score""": 0.6_4_1_9, """label""": """cat""", """box""": {"""xmin""": 494, """ymin""": 105, """xmax""": 521, """ymax""": 127}},
             ]
         ]       ,		)



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


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: str     			=pipeline("""zero-shot-object-detection"""		)

     SCREAMING_SNAKE_CASE_: Optional[int]     			=object_detector(
         """http://images.cocodataset.org/val2017/000000039769.jpg"""       ,		candidate_labels=["""cat""", """remote""", """couch"""]       ,		)
     self.assertEqual(
         nested_simplify(lowerCAmelCase       ,		decimals=4		)       ,		[
             {"""score""": 0.2_8_6_8, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
             {"""score""": 0.2_7_7, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
             {"""score""": 0.2_5_3_7, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 315, """ymax""": 472}},
             {"""score""": 0.1_4_7_4, """label""": """remote""", """box""": {"""xmin""": 335, """ymin""": 74, """xmax""": 371, """ymax""": 187}},
             {"""score""": 0.1_2_0_8, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 642, """ymax""": 476}},
         ]       ,		)

     SCREAMING_SNAKE_CASE_: Tuple     			=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(lowerCAmelCase       ,		decimals=4		)       ,		[
             [
                 {"""score""": 0.2_8_6_8, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
                 {"""score""": 0.2_7_7, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
                 {"""score""": 0.2_5_3_7, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 315, """ymax""": 472}},
                 {"""score""": 0.1_4_7_4, """label""": """remote""", """box""": {"""xmin""": 335, """ymin""": 74, """xmax""": 371, """ymax""": 187}},
                 {"""score""": 0.1_2_0_8, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 642, """ymax""": 476}},
             ],
             [
                 {"""score""": 0.2_8_6_8, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
                 {"""score""": 0.2_7_7, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
                 {"""score""": 0.2_5_3_7, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 315, """ymax""": 472}},
                 {"""score""": 0.1_4_7_4, """label""": """remote""", """box""": {"""xmin""": 335, """ymin""": 74, """xmax""": 371, """ymax""": 187}},
                 {"""score""": 0.1_2_0_8, """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 :					Union[str, Any]		)     ->					Any:


     '''simple docstring'''




     pass



  @require_torch
  @slow
  def 	lowerCamelCase__       (						self :					Optional[int]		)     ->					Optional[int]:


     '''simple docstring'''




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

     SCREAMING_SNAKE_CASE_: Tuple     			=object_detector(
         """http://images.cocodataset.org/val2017/000000039769.jpg"""       ,		candidate_labels=["""cat""", """remote""", """couch"""]       ,		threshold=lowerCAmelCase       ,		)
     self.assertEqual(
         nested_simplify(lowerCAmelCase       ,		decimals=4		)       ,		[
             {"""score""": 0.2_8_6_8, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
             {"""score""": 0.2_7_7, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
             {"""score""": 0.2_5_3_7, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 55, """xmax""": 315, """ymax""": 472}},
         ]       ,		)





  @require_torch
  @slow
  def 	lowerCamelCase__       (						self :					int		)     ->					int:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Optional[int]     			=2
     SCREAMING_SNAKE_CASE_: Dict     			=pipeline("""zero-shot-object-detection"""		)

     SCREAMING_SNAKE_CASE_: Dict     			=object_detector(
         """http://images.cocodataset.org/val2017/000000039769.jpg"""       ,		candidate_labels=["""cat""", """remote""", """couch"""]       ,		top_k=lowerCAmelCase       ,		)
     self.assertEqual(
         nested_simplify(lowerCAmelCase       ,		decimals=4		)       ,		[
             {"""score""": 0.2_8_6_8, """label""": """cat""", """box""": {"""xmin""": 324, """ymin""": 20, """xmax""": 640, """ymax""": 373}},
             {"""score""": 0.2_7_7, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 72, """xmax""": 177, """ymax""": 115}},
         ]       ,		)








"""simple docstring"""
from math import pi





def      __magic_name__				(							lowercase							,			lowercase ):
   return 2 * pi * radius * (angle / 360)


if __name__ == "__main__":
   print(arc_length(9_0, 1_0))



