pylint

Author: Dmitriy Apollonin

labelbox/schema/annotation_import.py

@@ -144,7 +144,8 @@ def _create_from_bytes(cls, client, variables, query_str, file_name,
     @classmethod
     def _get_ndjson_from_objects(cls, data, slug):
         if not isinstance(data, list):
-            raise TypeError(f"{slug} must be in a form of list. Found {type(data)}")
+            raise TypeError(
+                f"{slug} must be in a form of list. Found {type(data)}")
 
         data_str = ndjson.dumps(data)
         if not data_str:
@@ -208,8 +209,9 @@ def create_from_file(cls, client: "labelbox.Client", model_run_id: str,
             raise ValueError(f"File {path} is not accessible")
 
     @classmethod
-    def create_from_objects(cls, client: "labelbox.Client", model_run_id: str,
-                            name, predictions: List[Dict[str, Any]]) -> "MEAPredictionImport":
+    def create_from_objects(
+            cls, client: "labelbox.Client", model_run_id: str, name,
+            predictions: List[Dict[str, Any]]) -> "MEAPredictionImport":
         """
         Create an MEA prediction import job from an in memory dictionary
 

labelbox/schema/bulk_import_request.py

@@ -311,7 +311,9 @@ def create_from_objects(cls,
             BulkImportRequest object
         """
         if not isinstance(predictions, list):
-            raise TypeError(f"annotations must be in a form of Iterable. Found {type(predictions)}")
+            raise TypeError(
+                f"annotations must be in a form of Iterable. Found {type(predictions)}"
+            )
 
         if validate:
             _validate_ndjson(predictions, client.get_project(project_id))

tests/unit/test_mal_import.py

@@ -47,25 +47,25 @@ def test_invalid_labels_format():
     id = str(uuid.uuid4())
 
     label = {
-            "bbox": {
-                "height": 428,
-                "left": 2089,
-                "top": 1251,
-                "width": 158
-            },
-            "classifications": [{
-                "answer": [{
-                    "schemaId": "ckrb1sfl8099e0y919v260awv",
-                    "confidence": 0.894
-                }],
-                "schemaId": "ckrb1sfkn099c0y910wbo0p1a"
+        "bbox": {
+            "height": 428,
+            "left": 2089,
+            "top": 1251,
+            "width": 158
+        },
+        "classifications": [{
+            "answer": [{
+                "schemaId": "ckrb1sfl8099e0y919v260awv",
+                "confidence": 0.894
             }],
-            "dataRow": {
-                "id": "ckrb1sf1i1g7i0ybcdc6oc8ct"
-            },
-            "schemaId": "ckrb1sfjx099a0y914hl319ie",
-            "uuid": "d009925d-91a3-4f67-abd9-753453f5a584"
-        }
+            "schemaId": "ckrb1sfkn099c0y910wbo0p1a"
+        }],
+        "dataRow": {
+            "id": "ckrb1sf1i1g7i0ybcdc6oc8ct"
+        },
+        "schemaId": "ckrb1sfjx099a0y914hl319ie",
+        "uuid": "d009925d-91a3-4f67-abd9-753453f5a584"
+    }
 
     with patch.object(MALPredictionImport, '_create_mal_import_from_bytes'):
         with pytest.raises(TypeError):

tests/unit/test_unit_label_import.py

@@ -41,21 +41,21 @@ def test_invalid_labels_format():
     id = str(uuid.uuid4())
 
     label = {
-            "uuid": "b862c586-8614-483c-b5e6-82810f70cac0",
-            "schemaId": "ckrazcueb16og0z6609jj7y3y",
-            "dataRow": {
-                "id": "ckrazctum0z8a0ybc0b0o0g0v"
-            },
-            "bbox": {
-                "top": 1352,
-                "left": 2275,
-                "height": 350,
-                "width": 139
-            }
+        "uuid": "b862c586-8614-483c-b5e6-82810f70cac0",
+        "schemaId": "ckrazcueb16og0z6609jj7y3y",
+        "dataRow": {
+            "id": "ckrazctum0z8a0ybc0b0o0g0v"
+        },
+        "bbox": {
+            "top": 1352,
+            "left": 2275,
+            "height": 350,
+            "width": 139
         }
+    }
     with patch.object(LabelImport, '_create_label_import_from_bytes'):
         with pytest.raises(TypeError):
             LabelImport.create_from_objects(client=MagicMock(),
-                                                    project_id=id,
-                                                    name=id,
-                                                    labels=label)
+                                            project_id=id,
+                                            name=id,
+                                            labels=label)