


"""simple docstring"""

import unittest

from transformers import (
    MODEL_FOR_OBJECT_DETECTION_MAPPING,
    AutoFeatureExtractor,
    AutoModelForObjectDetection,
    ObjectDetectionPipeline,
    is_vision_available,
    pipeline,
)
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_pytesseract,
    require_tf,
    require_timm,
    require_torch,
    require_vision,
    slow,
)

from .test_pipelines_common import ANY


if is_vision_available():
       from PIL import Image
else:





       class    lowerCamelCase__						:
             @staticmethod
             def SCREAMING_SNAKE_CASE_	(		*A_	:	List[str]      ,       **A_	:	List[str]							):






              '''simple docstring'''


              pass





@is_pipeline_test
@require_vision
@require_timm
@require_torch
class    lowerCamelCase__						(		unittest.TestCase    ):
      a :     Optional[int]											=		MODEL_FOR_OBJECT_DETECTION_MAPPING
      def SCREAMING_SNAKE_CASE_	(		self	:	Union[str, Any]      ,       A_	:	Any      ,       A_	:	int      ,       A_	:	str							):






       '''simple docstring'''


       __lowercase									=	ObjectDetectionPipeline(model=__UpperCamelCase      ,       image_processor=__UpperCamelCase							)
       return object_detector, ["./tests/fixtures/tests_samples/COCO/000000039769.png"]
      def SCREAMING_SNAKE_CASE_	(		self	:	Optional[Any]      ,       A_	:	int      ,       A_	:	Optional[int]							):






       '''simple docstring'''


       __lowercase									=	object_detector("""./tests/fixtures/tests_samples/COCO/000000039769.png"""      ,       threshold=0.0							)

       self.assertGreater(len(__UpperCamelCase							)      ,       0							)
       for detected_object in outputs:
        self.assertEqual(
            __UpperCamelCase      ,       {
                """score""": ANY(__UpperCamelCase							),
                """label""": ANY(__UpperCamelCase							),
                """box""": {"""xmin""": ANY(__UpperCamelCase							), """ymin""": ANY(__UpperCamelCase							), """xmax""": ANY(__UpperCamelCase							), """ymax""": ANY(__UpperCamelCase							)},
            }      ,       )

       import datasets

       __lowercase									=	datasets.load_dataset("""hf-internal-testing/fixtures_image_utils"""      ,       """image"""      ,       split="""test"""							)

       __lowercase									=	[
           Image.open("""./tests/fixtures/tests_samples/COCO/000000039769.png"""							),
           """http://images.cocodataset.org/val2017/000000039769.jpg""",
           # RGBA
           dataset[0]["""file"""],
           # LA
           dataset[1]["""file"""],
           # L
           dataset[2]["""file"""],
       ]
       __lowercase									=	object_detector(__UpperCamelCase      ,       threshold=0.0							)

       self.assertEqual(len(__UpperCamelCase							)      ,       len(__UpperCamelCase							)							)
       for outputs in batch_outputs:
        self.assertGreater(len(__UpperCamelCase							)      ,       0							)
        for detected_object in outputs:
         self.assertEqual(
             __UpperCamelCase      ,       {
                 """score""": ANY(__UpperCamelCase							),
                 """label""": ANY(__UpperCamelCase							),
                 """box""": {"""xmin""": ANY(__UpperCamelCase							), """ymin""": ANY(__UpperCamelCase							), """xmax""": ANY(__UpperCamelCase							), """ymax""": ANY(__UpperCamelCase							)},
             }      ,       )
      @require_tf
      @unittest.skip("""Object detection not implemented in TF"""							)
      def SCREAMING_SNAKE_CASE_	(		self	:	Optional[Any]							):






       '''simple docstring'''


       pass
      @require_torch
      def SCREAMING_SNAKE_CASE_	(		self	:	Tuple							):






       '''simple docstring'''


       __lowercase									=	"""hf-internal-testing/tiny-detr-mobilenetsv3"""

       __lowercase									=	AutoModelForObjectDetection.from_pretrained(__UpperCamelCase							)
       __lowercase									=	AutoFeatureExtractor.from_pretrained(__UpperCamelCase							)
       __lowercase									=	ObjectDetectionPipeline(model=__UpperCamelCase      ,       feature_extractor=__UpperCamelCase							)

       __lowercase									=	object_detector("""http://images.cocodataset.org/val2017/000000039769.jpg"""      ,       threshold=0.0							)

       self.assertEqual(
           nested_simplify(__UpperCamelCase      ,       decimals=4							)      ,       [
               {"""score""": 0.33_76, """label""": """LABEL_0""", """box""": {"""xmin""": 1_5_9, """ymin""": 1_2_0, """xmax""": 4_8_0, """ymax""": 3_5_9}},
               {"""score""": 0.33_76, """label""": """LABEL_0""", """box""": {"""xmin""": 1_5_9, """ymin""": 1_2_0, """xmax""": 4_8_0, """ymax""": 3_5_9}},
           ]      ,       )

       __lowercase									=	object_detector(
           [
               """http://images.cocodataset.org/val2017/000000039769.jpg""",
               """http://images.cocodataset.org/val2017/000000039769.jpg""",
           ]      ,       threshold=0.0      ,       )

       self.assertEqual(
           nested_simplify(__UpperCamelCase      ,       decimals=4							)      ,       [
               [
                   {"""score""": 0.33_76, """label""": """LABEL_0""", """box""": {"""xmin""": 1_5_9, """ymin""": 1_2_0, """xmax""": 4_8_0, """ymax""": 3_5_9}},
                   {"""score""": 0.33_76, """label""": """LABEL_0""", """box""": {"""xmin""": 1_5_9, """ymin""": 1_2_0, """xmax""": 4_8_0, """ymax""": 3_5_9}},
               ],
               [
                   {"""score""": 0.33_76, """label""": """LABEL_0""", """box""": {"""xmin""": 1_5_9, """ymin""": 1_2_0, """xmax""": 4_8_0, """ymax""": 3_5_9}},
                   {"""score""": 0.33_76, """label""": """LABEL_0""", """box""": {"""xmin""": 1_5_9, """ymin""": 1_2_0, """xmax""": 4_8_0, """ymax""": 3_5_9}},
               ],
           ]      ,       )
      @require_torch
      @slow
      def SCREAMING_SNAKE_CASE_	(		self	:	int							):






       '''simple docstring'''


       __lowercase									=	"""facebook/detr-resnet-50"""

       __lowercase									=	AutoModelForObjectDetection.from_pretrained(__UpperCamelCase							)
       __lowercase									=	AutoFeatureExtractor.from_pretrained(__UpperCamelCase							)
       __lowercase									=	ObjectDetectionPipeline(model=__UpperCamelCase      ,       feature_extractor=__UpperCamelCase							)

       __lowercase									=	object_detector("""http://images.cocodataset.org/val2017/000000039769.jpg"""							)
       self.assertEqual(
           nested_simplify(__UpperCamelCase      ,       decimals=4							)      ,       [
               {"""score""": 0.99_82, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_0, """xmax""": 1_7_5, """ymax""": 1_1_7}},
               {"""score""": 0.99_60, """label""": """remote""", """box""": {"""xmin""": 3_3_3, """ymin""": 7_2, """xmax""": 3_6_8, """ymax""": 1_8_7}},
               {"""score""": 0.99_55, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 6_3_9, """ymax""": 4_7_3}},
               {"""score""": 0.99_88, """label""": """cat""", """box""": {"""xmin""": 1_3, """ymin""": 5_2, """xmax""": 3_1_4, """ymax""": 4_7_0}},
               {"""score""": 0.99_87, """label""": """cat""", """box""": {"""xmin""": 3_4_5, """ymin""": 2_3, """xmax""": 6_4_0, """ymax""": 3_6_8}},
           ]      ,       )

       __lowercase									=	object_detector(
           [
               """http://images.cocodataset.org/val2017/000000039769.jpg""",
               """http://images.cocodataset.org/val2017/000000039769.jpg""",
           ]							)
       self.assertEqual(
           nested_simplify(__UpperCamelCase      ,       decimals=4							)      ,       [
               [
                   {"""score""": 0.99_82, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_0, """xmax""": 1_7_5, """ymax""": 1_1_7}},
                   {"""score""": 0.99_60, """label""": """remote""", """box""": {"""xmin""": 3_3_3, """ymin""": 7_2, """xmax""": 3_6_8, """ymax""": 1_8_7}},
                   {"""score""": 0.99_55, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 6_3_9, """ymax""": 4_7_3}},
                   {"""score""": 0.99_88, """label""": """cat""", """box""": {"""xmin""": 1_3, """ymin""": 5_2, """xmax""": 3_1_4, """ymax""": 4_7_0}},
                   {"""score""": 0.99_87, """label""": """cat""", """box""": {"""xmin""": 3_4_5, """ymin""": 2_3, """xmax""": 6_4_0, """ymax""": 3_6_8}},
               ],
               [
                   {"""score""": 0.99_82, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_0, """xmax""": 1_7_5, """ymax""": 1_1_7}},
                   {"""score""": 0.99_60, """label""": """remote""", """box""": {"""xmin""": 3_3_3, """ymin""": 7_2, """xmax""": 3_6_8, """ymax""": 1_8_7}},
                   {"""score""": 0.99_55, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 6_3_9, """ymax""": 4_7_3}},
                   {"""score""": 0.99_88, """label""": """cat""", """box""": {"""xmin""": 1_3, """ymin""": 5_2, """xmax""": 3_1_4, """ymax""": 4_7_0}},
                   {"""score""": 0.99_87, """label""": """cat""", """box""": {"""xmin""": 3_4_5, """ymin""": 2_3, """xmax""": 6_4_0, """ymax""": 3_6_8}},
               ],
           ]      ,       )
      @require_torch
      @slow
      def SCREAMING_SNAKE_CASE_	(		self	:	Any							):






       '''simple docstring'''


       __lowercase									=	"""facebook/detr-resnet-50"""

       __lowercase									=	pipeline("""object-detection"""      ,       model=__UpperCamelCase							)

       __lowercase									=	object_detector("""http://images.cocodataset.org/val2017/000000039769.jpg"""							)
       self.assertEqual(
           nested_simplify(__UpperCamelCase      ,       decimals=4							)      ,       [
               {"""score""": 0.99_82, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_0, """xmax""": 1_7_5, """ymax""": 1_1_7}},
               {"""score""": 0.99_60, """label""": """remote""", """box""": {"""xmin""": 3_3_3, """ymin""": 7_2, """xmax""": 3_6_8, """ymax""": 1_8_7}},
               {"""score""": 0.99_55, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 6_3_9, """ymax""": 4_7_3}},
               {"""score""": 0.99_88, """label""": """cat""", """box""": {"""xmin""": 1_3, """ymin""": 5_2, """xmax""": 3_1_4, """ymax""": 4_7_0}},
               {"""score""": 0.99_87, """label""": """cat""", """box""": {"""xmin""": 3_4_5, """ymin""": 2_3, """xmax""": 6_4_0, """ymax""": 3_6_8}},
           ]      ,       )

       __lowercase									=	object_detector(
           [
               """http://images.cocodataset.org/val2017/000000039769.jpg""",
               """http://images.cocodataset.org/val2017/000000039769.jpg""",
           ]							)
       self.assertEqual(
           nested_simplify(__UpperCamelCase      ,       decimals=4							)      ,       [
               [
                   {"""score""": 0.99_82, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_0, """xmax""": 1_7_5, """ymax""": 1_1_7}},
                   {"""score""": 0.99_60, """label""": """remote""", """box""": {"""xmin""": 3_3_3, """ymin""": 7_2, """xmax""": 3_6_8, """ymax""": 1_8_7}},
                   {"""score""": 0.99_55, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 6_3_9, """ymax""": 4_7_3}},
                   {"""score""": 0.99_88, """label""": """cat""", """box""": {"""xmin""": 1_3, """ymin""": 5_2, """xmax""": 3_1_4, """ymax""": 4_7_0}},
                   {"""score""": 0.99_87, """label""": """cat""", """box""": {"""xmin""": 3_4_5, """ymin""": 2_3, """xmax""": 6_4_0, """ymax""": 3_6_8}},
               ],
               [
                   {"""score""": 0.99_82, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_0, """xmax""": 1_7_5, """ymax""": 1_1_7}},
                   {"""score""": 0.99_60, """label""": """remote""", """box""": {"""xmin""": 3_3_3, """ymin""": 7_2, """xmax""": 3_6_8, """ymax""": 1_8_7}},
                   {"""score""": 0.99_55, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 6_3_9, """ymax""": 4_7_3}},
                   {"""score""": 0.99_88, """label""": """cat""", """box""": {"""xmin""": 1_3, """ymin""": 5_2, """xmax""": 3_1_4, """ymax""": 4_7_0}},
                   {"""score""": 0.99_87, """label""": """cat""", """box""": {"""xmin""": 3_4_5, """ymin""": 2_3, """xmax""": 6_4_0, """ymax""": 3_6_8}},
               ],
           ]      ,       )
      @require_torch
      @slow
      def SCREAMING_SNAKE_CASE_	(		self	:	List[str]							):






       '''simple docstring'''


       __lowercase									=	0.99_85
       __lowercase									=	"""facebook/detr-resnet-50"""

       __lowercase									=	pipeline("""object-detection"""      ,       model=__UpperCamelCase							)

       __lowercase									=	object_detector("""http://images.cocodataset.org/val2017/000000039769.jpg"""      ,       threshold=__UpperCamelCase							)
       self.assertEqual(
           nested_simplify(__UpperCamelCase      ,       decimals=4							)      ,       [
               {"""score""": 0.99_88, """label""": """cat""", """box""": {"""xmin""": 1_3, """ymin""": 5_2, """xmax""": 3_1_4, """ymax""": 4_7_0}},
               {"""score""": 0.99_87, """label""": """cat""", """box""": {"""xmin""": 3_4_5, """ymin""": 2_3, """xmax""": 6_4_0, """ymax""": 3_6_8}},
           ]      ,       )






      @require_torch
      @require_pytesseract
      @slow
      def SCREAMING_SNAKE_CASE_	(		self	:	Union[str, Any]							):






       '''simple docstring'''


       __lowercase									=	"""Narsil/layoutlmv3-finetuned-funsd"""
       __lowercase									=	0.99_93

       __lowercase									=	pipeline("""object-detection"""      ,       model=__UpperCamelCase      ,       threshold=__UpperCamelCase							)

       __lowercase									=	object_detector(
           """https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png"""							)
       self.assertEqual(
           nested_simplify(__UpperCamelCase      ,       decimals=4							)      ,       [
               {"""score""": 0.99_93, """label""": """I-ANSWER""", """box""": {"""xmin""": 2_9_4, """ymin""": 2_5_4, """xmax""": 3_4_3, """ymax""": 2_6_4}},
               {"""score""": 0.99_93, """label""": """I-ANSWER""", """box""": {"""xmin""": 2_9_4, """ymin""": 2_5_4, """xmax""": 3_4_3, """ymax""": 2_6_4}},
           ]      ,       )




"""simple docstring"""

from __future__ import annotations


def lowerCAmelCase_      (				UpperCamelCase__	: list[float] ):






 """simple docstring"""







 if len(UpperCamelCase__ ) < 2:
  raise ValueError("""Monogons and Digons are not polygons in the Euclidean space""" )
 if any(i <= 0 for i in nums ):
  raise ValueError("""All values must be greater than 0""" )
 __lowercase									=	nums.copy()
 copy_nums.sort()
 return copy_nums[-1] < sum(copy_nums[:-1] )


if __name__ == "__main__":
       import doctest

       doctest.testmod()
