





'''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 __a :

       '''simple docstring'''





       @staticmethod
       def      UpperCAmelCase__     (					*lowerCamelCase				:			Optional[Any]				,**lowerCamelCase				:			str    ):

          '''simple docstring'''

          pass







@is_pipeline_test
@require_vision
@require_timm
@require_torch
class __a (   unittest.TestCase			):

   '''simple docstring'''





   __UpperCamelCase   : Any	      =	MODEL_FOR_OBJECT_DETECTION_MAPPING





   def      UpperCAmelCase__     (					self				:			Dict				,lowerCamelCase				:			Optional[Any]				,lowerCamelCase				:			str				,lowerCamelCase				:			Tuple    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       ObjectDetectionPipeline(model=lowerCamelCase				,image_processor=lowerCamelCase    )
      return object_detector, ["./tests/fixtures/tests_samples/COCO/000000039769.png"]





   def      UpperCAmelCase__     (					self				:			Dict				,lowerCamelCase				:			Tuple				,lowerCamelCase				:			Tuple    ):

      '''simple docstring'''

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

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

      import datasets

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

      __SCREAMING_SNAKE_CASE      							=       [
          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"""],
      ]
      __SCREAMING_SNAKE_CASE      							=       object_detector(lowerCamelCase				,threshold=0.0    )

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





   @require_tf
   @unittest.skip("""Object detection not implemented in TF"""    )
   def      UpperCAmelCase__     (					self				:			Optional[Any]    ):

      '''simple docstring'''

      pass





   @require_torch
   def      UpperCAmelCase__     (					self				:			Optional[int]    ):

      '''simple docstring'''

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

      __SCREAMING_SNAKE_CASE      							=       AutoModelForObjectDetection.from_pretrained(lowerCamelCase    )
      __SCREAMING_SNAKE_CASE      							=       AutoFeatureExtractor.from_pretrained(lowerCamelCase    )
      __SCREAMING_SNAKE_CASE      							=       ObjectDetectionPipeline(model=lowerCamelCase				,feature_extractor=lowerCamelCase    )

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

      self.assertEqual(
          nested_simplify(lowerCamelCase				,decimals=4    )				,[
              {"""score""": 0.3_376, """label""": """LABEL_0""", """box""": {"""xmin""": 159, """ymin""": 120, """xmax""": 480, """ymax""": 359}},
              {"""score""": 0.3_376, """label""": """LABEL_0""", """box""": {"""xmin""": 159, """ymin""": 120, """xmax""": 480, """ymax""": 359}},
          ]				,)

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

      self.assertEqual(
          nested_simplify(lowerCamelCase				,decimals=4    )				,[
              [
                  {"""score""": 0.3_376, """label""": """LABEL_0""", """box""": {"""xmin""": 159, """ymin""": 120, """xmax""": 480, """ymax""": 359}},
                  {"""score""": 0.3_376, """label""": """LABEL_0""", """box""": {"""xmin""": 159, """ymin""": 120, """xmax""": 480, """ymax""": 359}},
              ],
              [
                  {"""score""": 0.3_376, """label""": """LABEL_0""", """box""": {"""xmin""": 159, """ymin""": 120, """xmax""": 480, """ymax""": 359}},
                  {"""score""": 0.3_376, """label""": """LABEL_0""", """box""": {"""xmin""": 159, """ymin""": 120, """xmax""": 480, """ymax""": 359}},
              ],
          ]				,)





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

      '''simple docstring'''

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

      __SCREAMING_SNAKE_CASE      							=       AutoModelForObjectDetection.from_pretrained(lowerCamelCase    )
      __SCREAMING_SNAKE_CASE      							=       AutoFeatureExtractor.from_pretrained(lowerCamelCase    )
      __SCREAMING_SNAKE_CASE      							=       ObjectDetectionPipeline(model=lowerCamelCase				,feature_extractor=lowerCamelCase    )

      __SCREAMING_SNAKE_CASE      							=       object_detector("""http://images.cocodataset.org/val2017/000000039769.jpg"""    )
      self.assertEqual(
          nested_simplify(lowerCamelCase				,decimals=4    )				,[
              {"""score""": 0.9_982, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 70, """xmax""": 175, """ymax""": 117}},
              {"""score""": 0.9_960, """label""": """remote""", """box""": {"""xmin""": 333, """ymin""": 72, """xmax""": 368, """ymax""": 187}},
              {"""score""": 0.9_955, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 639, """ymax""": 473}},
              {"""score""": 0.9_988, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
              {"""score""": 0.9_987, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
          ]				,)

      __SCREAMING_SNAKE_CASE      							=       object_detector(
          [
              """http://images.cocodataset.org/val2017/000000039769.jpg""",
              """http://images.cocodataset.org/val2017/000000039769.jpg""",
          ]    )
      self.assertEqual(
          nested_simplify(lowerCamelCase				,decimals=4    )				,[
              [
                  {"""score""": 0.9_982, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 70, """xmax""": 175, """ymax""": 117}},
                  {"""score""": 0.9_960, """label""": """remote""", """box""": {"""xmin""": 333, """ymin""": 72, """xmax""": 368, """ymax""": 187}},
                  {"""score""": 0.9_955, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 639, """ymax""": 473}},
                  {"""score""": 0.9_988, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
                  {"""score""": 0.9_987, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
              ],
              [
                  {"""score""": 0.9_982, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 70, """xmax""": 175, """ymax""": 117}},
                  {"""score""": 0.9_960, """label""": """remote""", """box""": {"""xmin""": 333, """ymin""": 72, """xmax""": 368, """ymax""": 187}},
                  {"""score""": 0.9_955, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 639, """ymax""": 473}},
                  {"""score""": 0.9_988, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
                  {"""score""": 0.9_987, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
              ],
          ]				,)





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

      '''simple docstring'''

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

      __SCREAMING_SNAKE_CASE      							=       pipeline("""object-detection"""				,model=lowerCamelCase    )

      __SCREAMING_SNAKE_CASE      							=       object_detector("""http://images.cocodataset.org/val2017/000000039769.jpg"""    )
      self.assertEqual(
          nested_simplify(lowerCamelCase				,decimals=4    )				,[
              {"""score""": 0.9_982, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 70, """xmax""": 175, """ymax""": 117}},
              {"""score""": 0.9_960, """label""": """remote""", """box""": {"""xmin""": 333, """ymin""": 72, """xmax""": 368, """ymax""": 187}},
              {"""score""": 0.9_955, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 639, """ymax""": 473}},
              {"""score""": 0.9_988, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
              {"""score""": 0.9_987, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
          ]				,)

      __SCREAMING_SNAKE_CASE      							=       object_detector(
          [
              """http://images.cocodataset.org/val2017/000000039769.jpg""",
              """http://images.cocodataset.org/val2017/000000039769.jpg""",
          ]    )
      self.assertEqual(
          nested_simplify(lowerCamelCase				,decimals=4    )				,[
              [
                  {"""score""": 0.9_982, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 70, """xmax""": 175, """ymax""": 117}},
                  {"""score""": 0.9_960, """label""": """remote""", """box""": {"""xmin""": 333, """ymin""": 72, """xmax""": 368, """ymax""": 187}},
                  {"""score""": 0.9_955, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 639, """ymax""": 473}},
                  {"""score""": 0.9_988, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
                  {"""score""": 0.9_987, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
              ],
              [
                  {"""score""": 0.9_982, """label""": """remote""", """box""": {"""xmin""": 40, """ymin""": 70, """xmax""": 175, """ymax""": 117}},
                  {"""score""": 0.9_960, """label""": """remote""", """box""": {"""xmin""": 333, """ymin""": 72, """xmax""": 368, """ymax""": 187}},
                  {"""score""": 0.9_955, """label""": """couch""", """box""": {"""xmin""": 0, """ymin""": 1, """xmax""": 639, """ymax""": 473}},
                  {"""score""": 0.9_988, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
                  {"""score""": 0.9_987, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
              ],
          ]				,)





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

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       0.9_985
      __SCREAMING_SNAKE_CASE      							=       """facebook/detr-resnet-50"""

      __SCREAMING_SNAKE_CASE      							=       pipeline("""object-detection"""				,model=lowerCamelCase    )

      __SCREAMING_SNAKE_CASE      							=       object_detector("""http://images.cocodataset.org/val2017/000000039769.jpg"""				,threshold=lowerCamelCase    )
      self.assertEqual(
          nested_simplify(lowerCamelCase				,decimals=4    )				,[
              {"""score""": 0.9_988, """label""": """cat""", """box""": {"""xmin""": 13, """ymin""": 52, """xmax""": 314, """ymax""": 470}},
              {"""score""": 0.9_987, """label""": """cat""", """box""": {"""xmin""": 345, """ymin""": 23, """xmax""": 640, """ymax""": 368}},
          ]				,)





   @require_torch
   @require_pytesseract
   @slow
   def      UpperCAmelCase__     (					self				:			str    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       """Narsil/layoutlmv3-finetuned-funsd"""
      __SCREAMING_SNAKE_CASE      							=       0.9_993

      __SCREAMING_SNAKE_CASE      							=       pipeline("""object-detection"""				,model=lowerCamelCase				,threshold=lowerCamelCase    )

      __SCREAMING_SNAKE_CASE      							=       object_detector(
          """https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png"""    )
      self.assertEqual(
          nested_simplify(lowerCamelCase				,decimals=4    )				,[
              {"""score""": 0.9_993, """label""": """I-ANSWER""", """box""": {"""xmin""": 294, """ymin""": 254, """xmax""": 343, """ymax""": 264}},
              {"""score""": 0.9_993, """label""": """I-ANSWER""", """box""": {"""xmin""": 294, """ymin""": 254, """xmax""": 343, """ymax""": 264}},
          ]				,)












'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a        =						{"configuration_sew": ["SEW_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWConfig"]}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    a        =						[
        "SEW_PRETRAINED_MODEL_ARCHIVE_LIST",
        "SEWForCTC",
        "SEWForSequenceClassification",
        "SEWModel",
        "SEWPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_sew import (
            SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
            SEWForCTC,
            SEWForSequenceClassification,
            SEWModel,
            SEWPreTrainedModel,
        )


else:
    import sys

    a        =						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





