"""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     _SCREAMING_SNAKE_CASE    (						*snake_case__    :  Union[str, Any]	,    **snake_case__    :  List[str]  ):
										pass

@is_pipeline_test
@require_vision
@require_torch
class    a_   (  unittest.TestCase      ):
					UpperCamelCase_			:						List[Any]      =     MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING




					def     _SCREAMING_SNAKE_CASE    (						self    :  int	,    snake_case__    :  List[str]	,    snake_case__    :  int	,    snake_case__    :  Dict  ):
							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     _SCREAMING_SNAKE_CASE    (						self    :  Optional[Any]	,    snake_case__    :  Any	,    snake_case__    :  Dict  ):
							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     _SCREAMING_SNAKE_CASE    (						self    :  str  ):
							pass




					@require_torch
					def     _SCREAMING_SNAKE_CASE    (						self    :  List[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""": 0.7235, """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}},
							    ]	,    )

							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""": 0.7235, """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     _SCREAMING_SNAKE_CASE    (						self    :  Optional[int]  ):
							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""": 0.2868, """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}},
							    ]	,    )

							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""": 0.2868, """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     _SCREAMING_SNAKE_CASE    (						self    :  str  ):
							pass




					@require_torch
					@slow
					def     _SCREAMING_SNAKE_CASE    (						self    :  str  ):
							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""": 0.2868, """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     _SCREAMING_SNAKE_CASE    (						self    :  Dict  ):
							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""": 0.2868, """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}},
							    ]	,    )





"""simple docstring"""




from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap







def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		return getitem, k







def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__  ):





		"""simple docstring"""




		return setitem, k, v







def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		return delitem, k







def 				_UpperCAmelCase		(							lowerCamelCase__      ,	lowerCamelCase__      ,	*lowerCamelCase__  ):





		"""simple docstring"""




		try:
				return fun(lowerCamelCase__      ,	*lowerCamelCase__  ), None
		except Exception as e:
				return None, e


__lowerCAmelCase     :				Optional[Any]    				=    (
    _set("key_a", "val_a"),
    _set("key_b", "val_b"),
)

__lowerCAmelCase     :				Optional[int]    				=    [
    _set("key_a", "val_a"),
    _set("key_a", "val_b"),
]

__lowerCAmelCase     :				List[Any]    				=    [
    _set("key_a", "val_a"),
    _set("key_b", "val_b"),
    _del("key_a"),
    _del("key_b"),
    _set("key_a", "val_a"),
    _del("key_a"),
]

__lowerCAmelCase     :				int    				=    [
    _get("key_a"),
    _del("key_a"),
    _set("key_a", "val_a"),
    _del("key_a"),
    _del("key_a"),
    _get("key_a"),
]

__lowerCAmelCase     :				Optional[Any]    				=    [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
]

__lowerCAmelCase     :				Any    				=    [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
    *[_del(x) for x in range(5)],
    _set("key_a", "val_b"),
]







@pytest.mark.parametrize(
    """operations"""      ,	(
        pytest.param(_add_items      ,	id="""add items"""  ),
        pytest.param(_overwrite_items      ,	id="""overwrite items"""  ),
        pytest.param(_delete_items      ,	id="""delete items"""  ),
        pytest.param(_access_absent_items      ,	id="""access absent items"""  ),
        pytest.param(_add_with_resize_up      ,	id="""add with resize up"""  ),
        pytest.param(_add_with_resize_down      ,	id="""add with resize down"""  ),
    )      ,	)
def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = HashMap(initial_block_size=4  )
		lowerCAmelCase__   = {}
		for _, (fun, *args) in enumerate(lowerCamelCase__  ):
				lowerCAmelCase__ ,       lowerCAmelCase__   = _run_operation(lowerCamelCase__      ,	lowerCamelCase__      ,	*lowerCamelCase__  )
				lowerCAmelCase__ ,       lowerCAmelCase__   = _run_operation(lowerCamelCase__      ,	lowerCamelCase__      ,	*lowerCamelCase__  )
				assert my_res == py_res
				assert str(lowerCamelCase__  ) == str(lowerCamelCase__  )
				assert set(lowerCamelCase__  ) == set(lowerCamelCase__  )
				assert len(lowerCamelCase__  ) == len(lowerCamelCase__  )
				assert set(my.items()  ) == set(py.items()  )







def 				_UpperCAmelCase		(							):





		"""simple docstring"""




		def is_public(lowerCamelCase__  ) -> bool:
				return not name.startswith("""_"""  )

		lowerCAmelCase__   = {name for name in dir({}  ) if is_public(lowerCamelCase__  )}
		lowerCAmelCase__   = {name for name in dir(HashMap()  ) if is_public(lowerCamelCase__  )}

		assert dict_public_names > hash_public_names




