the VScode rewrap extension failed me

src/groundlight/client.py

@@ -370,39 +370,46 @@ def create_detector(  # noqa: PLR0913
 
             gl = Groundlight()
 
-            # Create a basic binary detector detector = gl.create_detector(
-                name="dog-on-couch-detector", query="Is there a dog on the couch?",
-                confidence_threshold=0.9, patience_time=30.0
+            # Create a basic binary detector
+            detector = gl.create_detector(
+                name="dog-on-couch-detector",
+                query="Is there a dog on the couch?",
+                confidence_threshold=0.9,
+                patience_time=30.0
             )
 
-            # Create a detector with metadata detector = gl.create_detector(
-                name="door-monitor", query="Is the door open?", metadata={"location":
-                "front-entrance", "building": "HQ"}, confidence_threshold=0.95
+            # Create a detector with metadata
+            detector = gl.create_detector(
+                name="door-monitor",
+                query="Is the door open?",
+                metadata={"location": "front-entrance", "building": "HQ"},
+                confidence_threshold=0.95
             )
 
-            # Create a detector in a specific group detector = gl.create_detector(
-                name="vehicle-monitor", query="Are there vehicles are in the parking lot?",
-                group_name="parking-monitoring", patience_time=60.0
+            # Create a detector in a specific group
+            detector = gl.create_detector(
+                name="vehicle-monitor",
+                query="Are there vehicles are in the parking lot?",
+                group_name="parking-monitoring",
+                patience_time=60.0
             )
-        :param name: A short, descriptive name for the detector. This name should be unique within
-                    your account and help identify the detector's purpose.
-        :param query: The question that the detector will answer about images. For binary
-                     classification, this should be a yes/no question (e.g. "Is there a person in
-                     the image?").
-        :param group_name: Optional name of a group to organize related detectors together. If not
-                         specified, the detector will be placed in the default group.
-        :param confidence_threshold: A value between 0.5 and 1 that sets the minimum confidence
-                                  level required for the ML model's predictions. If confidence is
-                                  below this threshold, the query may be sent for human review.
-        :param patience_time: The maximum time in seconds that Groundlight will attempt to generate
-                            a confident prediction before falling back to human review. Defaults to
-                            30 seconds.
-        :param pipeline_config: Advanced usage only. Configuration string needed to instantiate a
-                              specific prediction pipeline for this detector.
-        :param metadata: A dictionary or JSON string containing custom key/value pairs to associate
-                        with the detector (limited to 1KB). This metadata can be used to store
-                        additional information like location, purpose, or related system IDs. You
-                        can retrieve this metadata later by calling `get_detector()`.
+        :param name: A short, descriptive name for the detector. This name should be unique within your account
+                    and help identify the detector's purpose.
+        :param query: The question that the detector will answer about images. For binary classification,
+                     this should be a yes/no question (e.g. "Is there a person in the image?").
+        :param group_name: Optional name of a group to organize related detectors together. If not specified,
+                         the detector will be placed in the default group.
+        :param confidence_threshold: A value between 0.5 and 1 that sets the minimum confidence level required
+                                  for the ML model's predictions. If confidence is below this threshold,
+                                  the query may be sent for human review.
+        :param patience_time: The maximum time in seconds that Groundlight will attempt to generate a
+                            confident prediction before falling back to human review. Defaults to 30 seconds.
+        :param pipeline_config: Advanced usage only. Configuration string needed to instantiate a specific
+                              prediction pipeline for this detector.
+        :param metadata: A dictionary or JSON string containing custom key/value pairs to associate with
+                        the detector (limited to 1KB). This metadata can be used to store additional
+                        information like location, purpose, or related system IDs. You can retrieve this
+                        metadata later by calling `get_detector()`.
 
         :return: The created Detector object
         """