



"""simple docstring"""
import collections
import os
import re
from pathlib import Path


UpperCAmelCase						:		int			= "src/transformers"


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


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase							) ->						Optional[int]:







  '''simple docstring'''


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


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase							) ->						Optional[Any]:







  '''simple docstring'''


  with open(__lowerCAmelCase ,  """r""" ,  encoding="""utf-8""" ,  newline="""\n"""							) as f:
    lowercase_								= f.readlines()

  lowercase_								= 0
  while line_index < len(__lowerCAmelCase							) and not lines[line_index].startswith("""_import_structure = {"""							):
    line_index += 1

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

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

  lowercase_								= {"""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.
    lowercase_								= 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:
      lowercase_								= 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

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

      lowercase_								= objects
    else:
      line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
  lowercase_								= []
  while (
      line_index < len(__lowerCAmelCase							)
      and find_backend(lines[line_index]							) is None
      and not lines[line_index].startswith("""else"""							)
  ):
    lowercase_								= lines[line_index]
    lowercase_								= _re_import.search(__lowerCAmelCase							)
    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

  lowercase_								= {"""none""": objects}
  # Let's continue with backend-specific objects
  while line_index < len(__lowerCAmelCase							):
    # If the line is an if is_backend_available, we grab all objects associated.
    lowercase_								= 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:
      lowercase_								= 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

      lowercase_								= []
      # Until we unindent, add backend objects to the list
      while len(lines[line_index]							) <= 1 or lines[line_index].startswith(""" """ * 8							):
        lowercase_								= lines[line_index]
        lowercase_								= _re_import.search(__lowerCAmelCase							)
        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

      lowercase_								= objects
    else:
      line_index += 1

  return import_dict_objects, type_hint_objects


def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase ,  __lowerCAmelCase							) ->						Union[str, Any]:







  '''simple docstring'''


  def find_duplicates(__lowerCAmelCase							):
    return [k for k, v in collections.Counter(__lowerCAmelCase							).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!"]

  lowercase_								= []
  for key in import_dict_objects.keys():
    lowercase_								= find_duplicates(import_dict_objects[key]							)
    if duplicate_imports:
      errors.append(F'''Duplicate _import_structure definitions for: {duplicate_imports}'''							)
    lowercase_								= 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]							)							):
      lowercase_								= """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 			_SCREAMING_SNAKE_CASE						() ->						List[Any]:







  '''simple docstring'''


  lowercase_								= []
  for root, _, files in os.walk(__lowerCAmelCase							):
    if "__init__.py" in files:
      lowercase_								= os.path.join(__lowerCAmelCase ,  """__init__.py"""							)
      lowercase_								= parse_init(__lowerCAmelCase							)
      if objects is not None:
        lowercase_								= analyze_results(*__lowerCAmelCase							)
        if len(__lowerCAmelCase							) > 0:
          lowercase_								= F'''Problem in {fname}, both halves do not define the same objects.\n{errors[0]}'''
          failures.append("""\n""".join(__lowerCAmelCase							)							)
  if len(__lowerCAmelCase							) > 0:
    raise ValueError("""\n\n""".join(__lowerCAmelCase							)							)


def 			_SCREAMING_SNAKE_CASE						() ->						Union[str, Any]:







  '''simple docstring'''


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


UpperCAmelCase						:		Optional[int]			= [
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
    "models.esm.openfold_utils",
]


def 			_SCREAMING_SNAKE_CASE						() ->						Union[str, Any]:







  '''simple docstring'''


  from transformers.utils import direct_transformers_import

  lowercase_								= direct_transformers_import(__lowerCAmelCase							)

  lowercase_								= set(transformers._import_structure.keys()							)
  # This contains all the base keys of the _import_structure object defined in the init, but if the user is missing
  # some optional dependencies, they may not have all of them. Thus we read the init to read all additions and
  # (potentiall re-) add them.
  with open(os.path.join(__lowerCAmelCase ,  """__init__.py"""							) ,  """r"""							) as f:
    lowercase_								= f.read()
  import_structure_keys.update(set(re.findall(R"""import_structure\[\"([^\"]*)\"\]""" ,  __lowerCAmelCase							)							)							)

  lowercase_								= [
      module
      for module in get_transformers_submodules()
      if module not in IGNORE_SUBMODULES and module not in import_structure_keys
  ]

  if len(__lowerCAmelCase							) > 0:
    lowercase_								= """\n""".join(F'''- {module}''' for module in module_not_registered							)
    raise ValueError(
        """The following submodules are not properly registed 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()






"""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    SCREAMING_SNAKE_CASE__ :

           @staticmethod
           def 					_UpperCAmelCase	(				*lowerCAmelCase_			:				Tuple ,  **lowerCAmelCase_			:				Tuple):







             """simple docstring"""







             pass


@is_pipeline_test
@require_vision
@require_torch
class    SCREAMING_SNAKE_CASE__ (							unittest.TestCase   ):
    lowercase__      =   MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING

    def 					_UpperCAmelCase	(				self			:				Optional[Any] ,  lowerCAmelCase_			:				int ,  lowerCAmelCase_			:				int ,  lowerCAmelCase_			:				List[Any]):







      """simple docstring"""







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

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

    def 					_UpperCAmelCase	(				self			:				Optional[Any] ,  lowerCAmelCase_			:				int ,  lowerCAmelCase_			:				Optional[Any]):







      """simple docstring"""







      lowercase_								= object_detector(examples[0] ,  threshold=0.0)

      lowercase_								= 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 					_UpperCAmelCase	(				self			:				Any):







      """simple docstring"""







      pass

    @require_torch
    def 					_UpperCAmelCase	(				self			:				List[Any]):







      """simple docstring"""







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

      lowercase_								= object_detector(
          """./tests/fixtures/tests_samples/COCO/000000039769.png""" ,  candidate_labels=["""cat""", """remote""", """couch"""] ,  threshold=0.64 ,  )

      self.assertEqual(
          nested_simplify(lowerCAmelCase_ ,  decimals=4) ,  [
              {"""score""": 0.7_235, """label""": """cat""", """box""": {"""xmin""": 2_0_4, """ymin""": 1_6_7, """xmax""": 2_3_2, """ymax""": 1_9_0}},
              {"""score""": 0.7_218, """label""": """remote""", """box""": {"""xmin""": 2_0_4, """ymin""": 1_6_7, """xmax""": 2_3_2, """ymax""": 1_9_0}},
              {"""score""": 0.7_184, """label""": """couch""", """box""": {"""xmin""": 2_0_4, """ymin""": 1_6_7, """xmax""": 2_3_2, """ymax""": 1_9_0}},
              {"""score""": 0.6_748, """label""": """remote""", """box""": {"""xmin""": 5_7_1, """ymin""": 8_3, """xmax""": 5_9_8, """ymax""": 1_0_3}},
              {"""score""": 0.6_656, """label""": """cat""", """box""": {"""xmin""": 5_7_1, """ymin""": 8_3, """xmax""": 5_9_8, """ymax""": 1_0_3}},
              {"""score""": 0.6_614, """label""": """couch""", """box""": {"""xmin""": 5_7_1, """ymin""": 8_3, """xmax""": 5_9_8, """ymax""": 1_0_3}},
              {"""score""": 0.6_456, """label""": """remote""", """box""": {"""xmin""": 4_9_4, """ymin""": 1_0_5, """xmax""": 5_2_1, """ymax""": 1_2_7}},
              {"""score""": 0.642, """label""": """remote""", """box""": {"""xmin""": 6_7, """ymin""": 2_7_4, """xmax""": 9_3, """ymax""": 2_9_7}},
              {"""score""": 0.6_419, """label""": """cat""", """box""": {"""xmin""": 4_9_4, """ymin""": 1_0_5, """xmax""": 5_2_1, """ymax""": 1_2_7}},
          ] ,  )

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

      self.assertEqual(
          nested_simplify(lowerCAmelCase_ ,  decimals=4) ,  [
              [
                  {"""score""": 0.7_235, """label""": """cat""", """box""": {"""xmin""": 2_0_4, """ymin""": 1_6_7, """xmax""": 2_3_2, """ymax""": 1_9_0}},
                  {"""score""": 0.7_218, """label""": """remote""", """box""": {"""xmin""": 2_0_4, """ymin""": 1_6_7, """xmax""": 2_3_2, """ymax""": 1_9_0}},
                  {"""score""": 0.7_184, """label""": """couch""", """box""": {"""xmin""": 2_0_4, """ymin""": 1_6_7, """xmax""": 2_3_2, """ymax""": 1_9_0}},
                  {"""score""": 0.6_748, """label""": """remote""", """box""": {"""xmin""": 5_7_1, """ymin""": 8_3, """xmax""": 5_9_8, """ymax""": 1_0_3}},
                  {"""score""": 0.6_656, """label""": """cat""", """box""": {"""xmin""": 5_7_1, """ymin""": 8_3, """xmax""": 5_9_8, """ymax""": 1_0_3}},
                  {"""score""": 0.6_614, """label""": """couch""", """box""": {"""xmin""": 5_7_1, """ymin""": 8_3, """xmax""": 5_9_8, """ymax""": 1_0_3}},
                  {"""score""": 0.6_456, """label""": """remote""", """box""": {"""xmin""": 4_9_4, """ymin""": 1_0_5, """xmax""": 5_2_1, """ymax""": 1_2_7}},
                  {"""score""": 0.642, """label""": """remote""", """box""": {"""xmin""": 6_7, """ymin""": 2_7_4, """xmax""": 9_3, """ymax""": 2_9_7}},
                  {"""score""": 0.6_419, """label""": """cat""", """box""": {"""xmin""": 4_9_4, """ymin""": 1_0_5, """xmax""": 5_2_1, """ymax""": 1_2_7}},
              ]
          ] ,  )

    @require_torch
    @slow
    def 					_UpperCAmelCase	(				self			:				Dict):







      """simple docstring"""







      lowercase_								= pipeline("""zero-shot-object-detection""")

      lowercase_								= object_detector(
          """http://images.cocodataset.org/val2017/000000039769.jpg""" ,  candidate_labels=["""cat""", """remote""", """couch"""] ,  )
      self.assertEqual(
          nested_simplify(lowerCAmelCase_ ,  decimals=4) ,  [
              {"""score""": 0.2_868, """label""": """cat""", """box""": {"""xmin""": 3_2_4, """ymin""": 2_0, """xmax""": 6_4_0, """ymax""": 3_7_3}},
              {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_2, """xmax""": 1_7_7, """ymax""": 1_1_5}},
              {"""score""": 0.2_537, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 5_5, """xmax""": 3_1_5, """ymax""": 4_7_2}},
              {"""score""": 0.1_474, """label""": """remote""", """box""": {"""xmin""": 3_3_5, """ymin""": 7_4, """xmax""": 3_7_1, """ymax""": 1_8_7}},
              {"""score""": 0.1_208, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 6_4_2, """ymax""": 4_7_6}},
          ] ,  )

      lowercase_								= 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_868, """label""": """cat""", """box""": {"""xmin""": 3_2_4, """ymin""": 2_0, """xmax""": 6_4_0, """ymax""": 3_7_3}},
                  {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_2, """xmax""": 1_7_7, """ymax""": 1_1_5}},
                  {"""score""": 0.2_537, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 5_5, """xmax""": 3_1_5, """ymax""": 4_7_2}},
                  {"""score""": 0.1_474, """label""": """remote""", """box""": {"""xmin""": 3_3_5, """ymin""": 7_4, """xmax""": 3_7_1, """ymax""": 1_8_7}},
                  {"""score""": 0.1_208, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 6_4_2, """ymax""": 4_7_6}},
              ],
              [
                  {"""score""": 0.2_868, """label""": """cat""", """box""": {"""xmin""": 3_2_4, """ymin""": 2_0, """xmax""": 6_4_0, """ymax""": 3_7_3}},
                  {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_2, """xmax""": 1_7_7, """ymax""": 1_1_5}},
                  {"""score""": 0.2_537, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 5_5, """xmax""": 3_1_5, """ymax""": 4_7_2}},
                  {"""score""": 0.1_474, """label""": """remote""", """box""": {"""xmin""": 3_3_5, """ymin""": 7_4, """xmax""": 3_7_1, """ymax""": 1_8_7}},
                  {"""score""": 0.1_208, """label""": """couch""", """box""": {"""xmin""": 4, """ymin""": 0, """xmax""": 6_4_2, """ymax""": 4_7_6}},
              ],
          ] ,  )

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







      """simple docstring"""







      pass

    @require_torch
    @slow
    def 					_UpperCAmelCase	(				self			:				List[str]):







      """simple docstring"""







      lowercase_								= 0.2
      lowercase_								= pipeline("""zero-shot-object-detection""")

      lowercase_								= 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_868, """label""": """cat""", """box""": {"""xmin""": 3_2_4, """ymin""": 2_0, """xmax""": 6_4_0, """ymax""": 3_7_3}},
              {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_2, """xmax""": 1_7_7, """ymax""": 1_1_5}},
              {"""score""": 0.2_537, """label""": """cat""", """box""": {"""xmin""": 1, """ymin""": 5_5, """xmax""": 3_1_5, """ymax""": 4_7_2}},
          ] ,  )




    @require_torch
    @slow
    def 					_UpperCAmelCase	(				self			:				Any):







      """simple docstring"""







      lowercase_								= 2
      lowercase_								= pipeline("""zero-shot-object-detection""")

      lowercase_								= 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_868, """label""": """cat""", """box""": {"""xmin""": 3_2_4, """ymin""": 2_0, """xmax""": 6_4_0, """ymax""": 3_7_3}},
              {"""score""": 0.277, """label""": """remote""", """box""": {"""xmin""": 4_0, """ymin""": 7_2, """xmax""": 1_7_7, """ymax""": 1_1_5}},
          ] ,  )

