Merge branch 'brandon/counting_formal_release' of github.com:groundlight/python-sdk into brandon/counting_formal_release

Author: brandon

src/groundlight/client.py

@@ -474,7 +474,9 @@ def create_detector(  # noqa: PLR0913
                 metadata=metadata,
             )
         else:
-            raise ValueError(f"Unsupported mode: {mode}, check if your desired mode is only supported in the ExperimentalApi")
+            raise ValueError(
+                f"Unsupported mode: {mode}, check if your desired mode is only supported in the ExperimentalApi"
+            )
 
     def get_or_create_detector(  # noqa: PLR0913
         self,
@@ -1574,7 +1576,6 @@ def create_binary_detector(  # noqa: PLR0913 # pylint: disable=too-many-argument
         obj = self.detectors_api.create_detector(detector_creation_input, _request_timeout=DEFAULT_REQUEST_TIMEOUT)
         return Detector.parse_obj(obj.to_dict())
 
-
     def create_multiclass_detector(  # noqa: PLR0913 # pylint: disable=too-many-arguments, too-many-locals
         self,
         name: str,

test/integration/test_groundlight.py

@@ -93,9 +93,12 @@ def test_create_detector(gl: Groundlight):
     count_detector = gl.create_detector(name=name, query=query, mode=ModeEnum.COUNT, class_names="dog")
     assert str(count_detector)
     name = f"Test {datetime.utcnow()}"  # Need a unique name
-    multiclass_detector = gl.create_detector(name=name, query=query, mode=ModeEnum.MULTI_CLASS, class_names=["dog", "cat"])
+    multiclass_detector = gl.create_detector(
+        name=name, query=query, mode=ModeEnum.MULTI_CLASS, class_names=["dog", "cat"]
+    )
     assert str(multiclass_detector)
 
+
 def test_create_detector_with_pipeline_config(gl: Groundlight):
     # "never-review" is a special model that always returns the same result with 100% confidence.
     # It's useful for testing.
@@ -790,6 +793,7 @@ def test_submit_image_query_with_empty_inspection_id(gl: Groundlight, detector:
         inspection_id="",
     )
 
+
 def test_binary_detector(gl: Groundlight):
     """
     verify that we can create and submit to a binary detector
@@ -800,6 +804,7 @@ def test_binary_detector(gl: Groundlight):
     binary_iq = gl.submit_image_query(created_detector, "test/assets/dog.jpeg")
     assert binary_iq.result.label is not None
 
+
 def test_counting_detector(gl: Groundlight):
     """
     verify that we can create and submit to a counting detector
@@ -842,4 +847,4 @@ def test_multiclass_detector(gl: Groundlight):
     assert created_detector is not None
     mc_iq = gl.submit_image_query(created_detector, "test/assets/dog.jpeg")
     assert mc_iq.result.label is not None
-    assert mc_iq.result.label in class_names
+    assert mc_iq.result.label in class_names

test/unit/test_experimental.py

@@ -89,6 +89,7 @@ def test_submit_multiple_rois(gl_experimental: ExperimentalApi, image_query_one:
     roi = gl_experimental.create_roi(label_name, (0, 0), (0.5, 0.5))
     gl_experimental.add_label(image_query_one, 3, [roi] * 3)
 
+
 def test_text_recognition_detector(gl_experimental: ExperimentalApi):
     """
     verify that we can create and submit to a text recognition detector