import collections
import importlib.util
import os
import re
from pathlib import Path


__lowercase											=      '''src/transformers'''


# Matches is_xxx_available()
__lowercase											=      re.compile(r'''is\_([a-z_]*)_available()''')
# Catches a one-line _import_struct = {xxx}
__lowercase											=      re.compile(r'''^_import_structure\s+=\s+\{([^\}]+)\}''')
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
__lowercase											=      re.compile(r'''\s+"\S*":\s+\[([^\]]*)\]''')
# Catches a line if not is_foo_available
__lowercase											=      re.compile(r'''^\s*if\s+not\s+is\_[a-z_]*\_available\(\)''')
# Catches a line _import_struct["bla"].append("foo")
__lowercase											=      re.compile(r'''^\s*_import_structure\["\S*"\]\.append\("(\S*)"\)''')
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
__lowercase											=      re.compile(r'''^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]''')
# Catches a line with an object between quotes and a comma:     "MyModel",
__lowercase											=      re.compile('''^\s+"([^"]+)",''')
# Catches a line with objects between brackets only:    ["foo", "bar"],
__lowercase											=      re.compile('''^\s+\[([^\]]+)\]''')
# Catches a line with from foo import bar, bla, boo
__lowercase											=      re.compile(r'''\s+from\s+\S*\s+import\s+([^\(\s].*)\n''')
# Catches a line with try:
__lowercase											=      re.compile(r'''^\s*try:''')
# Catches a line with else:
__lowercase											=      re.compile(r'''^\s*else:''')



def lowerCamelCase						(     SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    if _re_test_backend.search(SCREAMING_SNAKE_CASE			) is None:
        return None
    __UpperCamelCase  :Optional[Any]    						=	[b[0] for b in _re_backend.findall(SCREAMING_SNAKE_CASE			)]
    backends.sort()
    return "_and_".join(SCREAMING_SNAKE_CASE			)



def lowerCamelCase						(     SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    with open(SCREAMING_SNAKE_CASE						,    '''r'''						,    encoding='''utf-8'''						,    newline='''\n'''			) as f:
        __UpperCamelCase  :Tuple    						=	f.readlines()

    __UpperCamelCase  :Any    						=	0
    while line_index < len(SCREAMING_SNAKE_CASE			) and not lines[line_index].startswith('''_import_structure = {'''			):
        line_index += 1

    # If this is a traditional init, just return.
    if line_index >= len(SCREAMING_SNAKE_CASE			):
        return None

    # First grab the objects without a specific backend in _import_structure
    __UpperCamelCase  :Dict    						=	[]
    while not lines[line_index].startswith('''if TYPE_CHECKING'''			) and find_backend(lines[line_index]			) is None:
        __UpperCamelCase  :int    						=	lines[line_index]
        # If we have everything on a single line, let's deal with it.
        if _re_one_line_import_struct.search(SCREAMING_SNAKE_CASE			):
            __UpperCamelCase  :List[str]    						=	_re_one_line_import_struct.search(SCREAMING_SNAKE_CASE			).groups()[0]
            __UpperCamelCase  :List[Any]    						=	re.findall('''\[([^\]]+)\]'''						,    SCREAMING_SNAKE_CASE			)
            for imp in imports:
                objects.extend([obj[1:-1] for obj in imp.split(''', '''			)]			)
            line_index += 1
            continue
        __UpperCamelCase  :Any    						=	_re_import_struct_key_value.search(SCREAMING_SNAKE_CASE			)
        if single_line_import_search is not None:
            __UpperCamelCase  :int    						=	[obj[1:-1] for obj in single_line_import_search.groups()[0].split(''', '''			) if len(SCREAMING_SNAKE_CASE			) > 0]
            objects.extend(SCREAMING_SNAKE_CASE			)
        elif line.startswith(''' ''' * 8 + '''"'''			):
            objects.append(line[9:-3]			)
        line_index += 1

    __UpperCamelCase  :Any    						=	{'''none''': objects}
    # Let's continue with backend-specific objects in _import_structure
    while not lines[line_index].startswith('''if TYPE_CHECKING'''			):
        # If the line is an if not is_backend_available, we grab all objects associated.
        __UpperCamelCase  :List[Any]    						=	find_backend(lines[line_index]			)
        # Check if the backend declaration is inside a try block:
        if _re_try.search(lines[line_index - 1]			) is None:
            __UpperCamelCase  :int    						=	None

        if backend is not None:
            line_index += 1

            # Scroll until we hit the else block of try-except-else
            while _re_else.search(lines[line_index]			) is None:
                line_index += 1

            line_index += 1

            __UpperCamelCase  :int    						=	[]
            # Until we unindent, add backend objects to the list
            while len(lines[line_index]			) <= 1 or lines[line_index].startswith(''' ''' * 4			):
                __UpperCamelCase  :Tuple    						=	lines[line_index]
                if _re_import_struct_add_one.search(SCREAMING_SNAKE_CASE			) is not None:
                    objects.append(_re_import_struct_add_one.search(SCREAMING_SNAKE_CASE			).groups()[0]			)
                elif _re_import_struct_add_many.search(SCREAMING_SNAKE_CASE			) is not None:
                    __UpperCamelCase  :Tuple    						=	_re_import_struct_add_many.search(SCREAMING_SNAKE_CASE			).groups()[0].split(''', '''			)
                    __UpperCamelCase  :Dict    						=	[obj[1:-1] for obj in imports if len(SCREAMING_SNAKE_CASE			) > 0]
                    objects.extend(SCREAMING_SNAKE_CASE			)
                elif _re_between_brackets.search(SCREAMING_SNAKE_CASE			) is not None:
                    __UpperCamelCase  :Dict    						=	_re_between_brackets.search(SCREAMING_SNAKE_CASE			).groups()[0].split(''', '''			)
                    __UpperCamelCase  :str    						=	[obj[1:-1] for obj in imports if len(SCREAMING_SNAKE_CASE			) > 0]
                    objects.extend(SCREAMING_SNAKE_CASE			)
                elif _re_quote_object.search(SCREAMING_SNAKE_CASE			) is not None:
                    objects.append(_re_quote_object.search(SCREAMING_SNAKE_CASE			).groups()[0]			)
                elif line.startswith(''' ''' * 8 + '''"'''			):
                    objects.append(line[9:-3]			)
                elif line.startswith(''' ''' * 12 + '''"'''			):
                    objects.append(line[13:-3]			)
                line_index += 1

            __UpperCamelCase  :int    						=	objects
        else:
            line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
    __UpperCamelCase  :Dict    						=	[]
    while (
        line_index < len(SCREAMING_SNAKE_CASE			)
        and find_backend(lines[line_index]			) is None
        and not lines[line_index].startswith('''else'''			)
    ):
        __UpperCamelCase  :List[Any]    						=	lines[line_index]
        __UpperCamelCase  :Union[str, Any]    						=	_re_import.search(SCREAMING_SNAKE_CASE			)
        if single_line_import_search is not None:
            objects.extend(single_line_import_search.groups()[0].split(''', '''			)			)
        elif line.startswith(''' ''' * 8			):
            objects.append(line[8:-2]			)
        line_index += 1

    __UpperCamelCase  :Optional[int]    						=	{'''none''': objects}
    # Let's continue with backend-specific objects
    while line_index < len(SCREAMING_SNAKE_CASE			):
        # If the line is an if is_backend_available, we grab all objects associated.
        __UpperCamelCase  :Any    						=	find_backend(lines[line_index]			)
        # Check if the backend declaration is inside a try block:
        if _re_try.search(lines[line_index - 1]			) is None:
            __UpperCamelCase  :List[str]    						=	None

        if backend is not None:
            line_index += 1

            # Scroll until we hit the else block of try-except-else
            while _re_else.search(lines[line_index]			) is None:
                line_index += 1

            line_index += 1

            __UpperCamelCase  :Optional[Any]    						=	[]
            # Until we unindent, add backend objects to the list
            while len(lines[line_index]			) <= 1 or lines[line_index].startswith(''' ''' * 8			):
                __UpperCamelCase  :List[Any]    						=	lines[line_index]
                __UpperCamelCase  :Any    						=	_re_import.search(SCREAMING_SNAKE_CASE			)
                if single_line_import_search is not None:
                    objects.extend(single_line_import_search.groups()[0].split(''', '''			)			)
                elif line.startswith(''' ''' * 12			):
                    objects.append(line[12:-2]			)
                line_index += 1

            __UpperCamelCase  :int    						=	objects
        else:
            line_index += 1

    return import_dict_objects, type_hint_objects



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    def find_duplicates(SCREAMING_SNAKE_CASE			):
        return [k for k, v in collections.Counter(SCREAMING_SNAKE_CASE			).items() if v > 1]

    if list(import_dict_objects.keys()			) != list(type_hint_objects.keys()			):
        return ["Both sides of the init do not have the same backends!"]

    __UpperCamelCase  :Any    						=	[]
    for key in import_dict_objects.keys():
        __UpperCamelCase  :Any    						=	find_duplicates(import_dict_objects[key]			)
        if duplicate_imports:
            errors.append(f"""Duplicate _import_structure definitions for: {duplicate_imports}"""			)
        __UpperCamelCase  :Tuple    						=	find_duplicates(type_hint_objects[key]			)
        if duplicate_type_hints:
            errors.append(f"""Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}"""			)

        if sorted(set(import_dict_objects[key]			)			) != sorted(set(type_hint_objects[key]			)			):
            __UpperCamelCase  :Optional[int]    						=	'''base imports''' if key == '''none''' else f"""{key} backend"""
            errors.append(f"""Differences for {name}:"""			)
            for a in type_hint_objects[key]:
                if a not in import_dict_objects[key]:
                    errors.append(f"""  {a} in TYPE_HINT but not in _import_structure."""			)
            for a in import_dict_objects[key]:
                if a not in type_hint_objects[key]:
                    errors.append(f"""  {a} in _import_structure but not in TYPE_HINT."""			)
    return errors



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Optional[int]    						=	[]
    for root, _, files in os.walk(SCREAMING_SNAKE_CASE			):
        if "__init__.py" in files:
            __UpperCamelCase  :Union[str, Any]    						=	os.path.join(SCREAMING_SNAKE_CASE						,    '''__init__.py'''			)
            __UpperCamelCase  :Dict    						=	parse_init(SCREAMING_SNAKE_CASE			)
            if objects is not None:
                __UpperCamelCase  :Tuple    						=	analyze_results(*SCREAMING_SNAKE_CASE			)
                if len(SCREAMING_SNAKE_CASE			) > 0:
                    __UpperCamelCase  :Optional[Any]    						=	f"""Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"""
                    failures.append('''\n'''.join(SCREAMING_SNAKE_CASE			)			)
    if len(SCREAMING_SNAKE_CASE			) > 0:
        raise ValueError('''\n\n'''.join(SCREAMING_SNAKE_CASE			)			)



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Optional[Any]    						=	[]
    for path, directories, files in os.walk(SCREAMING_SNAKE_CASE			):
        for folder in directories:
            # Ignore private modules
            if folder.startswith('''_'''			):
                directories.remove(SCREAMING_SNAKE_CASE			)
                continue
            # Ignore leftovers from branches (empty folders apart from pycache)
            if len(list((Path(SCREAMING_SNAKE_CASE			) / folder).glob('''*.py'''			)			)			) == 0:
                continue
            __UpperCamelCase  :str    						=	str((Path(SCREAMING_SNAKE_CASE			) / folder).relative_to(SCREAMING_SNAKE_CASE			)			)
            __UpperCamelCase  :Union[str, Any]    						=	short_path.replace(os.path.sep						,    '''.'''			)
            submodules.append(SCREAMING_SNAKE_CASE			)
        for fname in files:
            if fname == "__init__.py":
                continue
            __UpperCamelCase  :Union[str, Any]    						=	str((Path(SCREAMING_SNAKE_CASE			) / fname).relative_to(SCREAMING_SNAKE_CASE			)			)
            __UpperCamelCase  :List[Any]    						=	short_path.replace('''.py'''						,    ''''''			).replace(os.path.sep						,    '''.'''			)
            if len(submodule.split('''.'''			)			) == 1:
                submodules.append(SCREAMING_SNAKE_CASE			)
    return submodules


__lowercase											=      [
    '''convert_pytorch_checkpoint_to_tf2''',
    '''modeling_flax_pytorch_utils''',
]



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Optional[int]    						=	importlib.util.spec_from_file_location(
        '''transformers'''						,    os.path.join(SCREAMING_SNAKE_CASE						,    '''__init__.py'''			)						,    submodule_search_locations=[PATH_TO_TRANSFORMERS]						,    )
    __UpperCamelCase  :Optional[int]    						=	spec.loader.load_module()

    __UpperCamelCase  :str    						=	[
        module
        for module in get_transformers_submodules()
        if module not in IGNORE_SUBMODULES and module not in transformers._import_structure.keys()
    ]
    if len(SCREAMING_SNAKE_CASE			) > 0:
        __UpperCamelCase  :Optional[int]    						=	'''\n'''.join(f"""- {module}""" for module in module_not_registered			)
        raise ValueError(
            '''The following submodules are not properly registered in the main init of Transformers:\n'''
            f"""{list_of_modules}\n"""
            '''Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value.'''			)


if __name__ == "__main__":
     check_all_inits()
     check_submodules()






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     UpperCamelCase__     (			*__lowercase				,				**__lowercase) ->			Dict:
            pass


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






    '''simple docstring'''






    a__			:		str      			=   MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING







    def     UpperCamelCase__     (			self				,				__lowercase				,				__lowercase				,				__lowercase) ->			str:
        __UpperCamelCase  :Union[str, Any]    						=	pipeline(
            '''zero-shot-object-detection'''				,				model='''hf-internal-testing/tiny-random-owlvit-object-detection''')

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







    def     UpperCamelCase__     (			self				,				__lowercase				,				__lowercase) ->			Optional[Any]:
        __UpperCamelCase  :Optional[Any]    						=	object_detector(examples[0]				,				threshold=0.0)

        __UpperCamelCase  :Dict    						=	len(__lowercase)
        self.assertGreater(__lowercase				,				0)
        self.assertEqual(
            __lowercase				,				[
                {
                    '''score''': ANY(__lowercase),
                    '''label''': ANY(__lowercase),
                    '''box''': {'''xmin''': ANY(__lowercase), '''ymin''': ANY(__lowercase), '''xmax''': ANY(__lowercase), '''ymax''': ANY(__lowercase)},
                }
                for i in range(__lowercase)
            ]				,				)







    @require_tf
    @unittest.skip('''Zero Shot Object Detection not implemented in TF''')
    def     UpperCamelCase__     (			self) ->			int:
        pass







    @require_torch
    def     UpperCamelCase__     (			self) ->			Any:
        __UpperCamelCase  :Tuple    						=	pipeline(
            '''zero-shot-object-detection'''				,				model='''hf-internal-testing/tiny-random-owlvit-object-detection''')

        __UpperCamelCase  :str    						=	object_detector(
            '''./tests/fixtures/tests_samples/COCO/000000039769.png'''				,				candidate_labels=['''cat''', '''remote''', '''couch''']				,				threshold=0.64				,				)

        self.assertEqual(
            nested_simplify(__lowercase				,				decimals=4)				,				[
                {'''score''': 0.72_35, '''label''': '''cat''', '''box''': {'''xmin''': 204, '''ymin''': 167, '''xmax''': 232, '''ymax''': 190}},
                {'''score''': 0.72_18, '''label''': '''remote''', '''box''': {'''xmin''': 204, '''ymin''': 167, '''xmax''': 232, '''ymax''': 190}},
                {'''score''': 0.71_84, '''label''': '''couch''', '''box''': {'''xmin''': 204, '''ymin''': 167, '''xmax''': 232, '''ymax''': 190}},
                {'''score''': 0.67_48, '''label''': '''remote''', '''box''': {'''xmin''': 571, '''ymin''': 83, '''xmax''': 598, '''ymax''': 103}},
                {'''score''': 0.66_56, '''label''': '''cat''', '''box''': {'''xmin''': 571, '''ymin''': 83, '''xmax''': 598, '''ymax''': 103}},
                {'''score''': 0.66_14, '''label''': '''couch''', '''box''': {'''xmin''': 571, '''ymin''': 83, '''xmax''': 598, '''ymax''': 103}},
                {'''score''': 0.64_56, '''label''': '''remote''', '''box''': {'''xmin''': 494, '''ymin''': 105, '''xmax''': 521, '''ymax''': 127}},
                {'''score''': 0.6_42, '''label''': '''remote''', '''box''': {'''xmin''': 67, '''ymin''': 274, '''xmax''': 93, '''ymax''': 297}},
                {'''score''': 0.64_19, '''label''': '''cat''', '''box''': {'''xmin''': 494, '''ymin''': 105, '''xmax''': 521, '''ymax''': 127}},
            ]				,				)

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

        self.assertEqual(
            nested_simplify(__lowercase				,				decimals=4)				,				[
                [
                    {'''score''': 0.72_35, '''label''': '''cat''', '''box''': {'''xmin''': 204, '''ymin''': 167, '''xmax''': 232, '''ymax''': 190}},
                    {'''score''': 0.72_18, '''label''': '''remote''', '''box''': {'''xmin''': 204, '''ymin''': 167, '''xmax''': 232, '''ymax''': 190}},
                    {'''score''': 0.71_84, '''label''': '''couch''', '''box''': {'''xmin''': 204, '''ymin''': 167, '''xmax''': 232, '''ymax''': 190}},
                    {'''score''': 0.67_48, '''label''': '''remote''', '''box''': {'''xmin''': 571, '''ymin''': 83, '''xmax''': 598, '''ymax''': 103}},
                    {'''score''': 0.66_56, '''label''': '''cat''', '''box''': {'''xmin''': 571, '''ymin''': 83, '''xmax''': 598, '''ymax''': 103}},
                    {'''score''': 0.66_14, '''label''': '''couch''', '''box''': {'''xmin''': 571, '''ymin''': 83, '''xmax''': 598, '''ymax''': 103}},
                    {'''score''': 0.64_56, '''label''': '''remote''', '''box''': {'''xmin''': 494, '''ymin''': 105, '''xmax''': 521, '''ymax''': 127}},
                    {'''score''': 0.6_42, '''label''': '''remote''', '''box''': {'''xmin''': 67, '''ymin''': 274, '''xmax''': 93, '''ymax''': 297}},
                    {'''score''': 0.64_19, '''label''': '''cat''', '''box''': {'''xmin''': 494, '''ymin''': 105, '''xmax''': 521, '''ymax''': 127}},
                ]
            ]				,				)







    @require_torch
    @slow
    def     UpperCamelCase__     (			self) ->			Optional[int]:
        __UpperCamelCase  :List[str]    						=	pipeline('''zero-shot-object-detection''')

        __UpperCamelCase  :List[str]    						=	object_detector(
            '''http://images.cocodataset.org/val2017/000000039769.jpg'''				,				candidate_labels=['''cat''', '''remote''', '''couch''']				,				)
        self.assertEqual(
            nested_simplify(__lowercase				,				decimals=4)				,				[
                {'''score''': 0.28_68, '''label''': '''cat''', '''box''': {'''xmin''': 324, '''ymin''': 20, '''xmax''': 640, '''ymax''': 373}},
                {'''score''': 0.2_77, '''label''': '''remote''', '''box''': {'''xmin''': 40, '''ymin''': 72, '''xmax''': 177, '''ymax''': 115}},
                {'''score''': 0.25_37, '''label''': '''cat''', '''box''': {'''xmin''': 1, '''ymin''': 55, '''xmax''': 315, '''ymax''': 472}},
                {'''score''': 0.14_74, '''label''': '''remote''', '''box''': {'''xmin''': 335, '''ymin''': 74, '''xmax''': 371, '''ymax''': 187}},
                {'''score''': 0.12_08, '''label''': '''couch''', '''box''': {'''xmin''': 4, '''ymin''': 0, '''xmax''': 642, '''ymax''': 476}},
            ]				,				)

        __UpperCamelCase  :Dict    						=	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(__lowercase				,				decimals=4)				,				[
                [
                    {'''score''': 0.28_68, '''label''': '''cat''', '''box''': {'''xmin''': 324, '''ymin''': 20, '''xmax''': 640, '''ymax''': 373}},
                    {'''score''': 0.2_77, '''label''': '''remote''', '''box''': {'''xmin''': 40, '''ymin''': 72, '''xmax''': 177, '''ymax''': 115}},
                    {'''score''': 0.25_37, '''label''': '''cat''', '''box''': {'''xmin''': 1, '''ymin''': 55, '''xmax''': 315, '''ymax''': 472}},
                    {'''score''': 0.14_74, '''label''': '''remote''', '''box''': {'''xmin''': 335, '''ymin''': 74, '''xmax''': 371, '''ymax''': 187}},
                    {'''score''': 0.12_08, '''label''': '''couch''', '''box''': {'''xmin''': 4, '''ymin''': 0, '''xmax''': 642, '''ymax''': 476}},
                ],
                [
                    {'''score''': 0.28_68, '''label''': '''cat''', '''box''': {'''xmin''': 324, '''ymin''': 20, '''xmax''': 640, '''ymax''': 373}},
                    {'''score''': 0.2_77, '''label''': '''remote''', '''box''': {'''xmin''': 40, '''ymin''': 72, '''xmax''': 177, '''ymax''': 115}},
                    {'''score''': 0.25_37, '''label''': '''cat''', '''box''': {'''xmin''': 1, '''ymin''': 55, '''xmax''': 315, '''ymax''': 472}},
                    {'''score''': 0.14_74, '''label''': '''remote''', '''box''': {'''xmin''': 335, '''ymin''': 74, '''xmax''': 371, '''ymax''': 187}},
                    {'''score''': 0.12_08, '''label''': '''couch''', '''box''': {'''xmin''': 4, '''ymin''': 0, '''xmax''': 642, '''ymax''': 476}},
                ],
            ]				,				)







    @require_tf
    @unittest.skip('''Zero Shot Object Detection not implemented in TF''')
    def     UpperCamelCase__     (			self) ->			Dict:
        pass







    @require_torch
    @slow
    def     UpperCamelCase__     (			self) ->			str:
        __UpperCamelCase  :Tuple    						=	0.2
        __UpperCamelCase  :str    						=	pipeline('''zero-shot-object-detection''')

        __UpperCamelCase  :Any    						=	object_detector(
            '''http://images.cocodataset.org/val2017/000000039769.jpg'''				,				candidate_labels=['''cat''', '''remote''', '''couch''']				,				threshold=__lowercase				,				)
        self.assertEqual(
            nested_simplify(__lowercase				,				decimals=4)				,				[
                {'''score''': 0.28_68, '''label''': '''cat''', '''box''': {'''xmin''': 324, '''ymin''': 20, '''xmax''': 640, '''ymax''': 373}},
                {'''score''': 0.2_77, '''label''': '''remote''', '''box''': {'''xmin''': 40, '''ymin''': 72, '''xmax''': 177, '''ymax''': 115}},
                {'''score''': 0.25_37, '''label''': '''cat''', '''box''': {'''xmin''': 1, '''ymin''': 55, '''xmax''': 315, '''ymax''': 472}},
            ]				,				)







    @require_torch
    @slow
    def     UpperCamelCase__     (			self) ->			Any:
        __UpperCamelCase  :Optional[int]    						=	2
        __UpperCamelCase  :Union[str, Any]    						=	pipeline('''zero-shot-object-detection''')

        __UpperCamelCase  :Any    						=	object_detector(
            '''http://images.cocodataset.org/val2017/000000039769.jpg'''				,				candidate_labels=['''cat''', '''remote''', '''couch''']				,				top_k=__lowercase				,				)
        self.assertEqual(
            nested_simplify(__lowercase				,				decimals=4)				,				[
                {'''score''': 0.28_68, '''label''': '''cat''', '''box''': {'''xmin''': 324, '''ymin''': 20, '''xmax''': 640, '''ymax''': 373}},
                {'''score''': 0.2_77, '''label''': '''remote''', '''box''': {'''xmin''': 40, '''ymin''': 72, '''xmax''': 177, '''ymax''': 115}},
            ]				,				)





