Merge pull request #849 from Labelbox/develop

Release V3.36.1

Author: dubininsergey

CHANGELOG.md

@@ -1,5 +1,9 @@
 # Changelog
 
+# Version 3.36.1 (2023-01-24)
+### Fixed
+* `confidence` is now optional for TextEntity
+
 # Version 3.36.0 (2023-01-23)
 ### Fixed
 * `confidence` attribute is now supported for TextEntity and Line predictions

docs/source/conf.py

@@ -21,7 +21,7 @@
 copyright = '2021, Labelbox'
 author = 'Labelbox'
 
-release = '3.36.0'
+release = '3.36.1'
 
 # -- General configuration ---------------------------------------------------
 

labelbox/__init__.py

@@ -1,5 +1,5 @@
 name = "labelbox"
-__version__ = "3.36.0"
+__version__ = "3.36.1"
 
 from labelbox.client import Client
 from labelbox.schema.project import Project

labelbox/data/serialization/ndjson/objects.py

@@ -352,11 +352,14 @@ def to_common(self) -> TextEntity:
         return TextEntity(start=self.location.start, end=self.location.end)
 
     @classmethod
-    def from_common(cls, text_entity: TextEntity,
-                    classifications: List[ClassificationAnnotation], name: str,
-                    feature_schema_id: Cuid, extra: Dict[str, Any],
-                    data: Union[ImageData,
-                                TextData], confidence: float) -> "NDTextEntity":
+    def from_common(cls,
+                    text_entity: TextEntity,
+                    classifications: List[ClassificationAnnotation],
+                    name: str,
+                    feature_schema_id: Cuid,
+                    extra: Dict[str, Any],
+                    data: Union[ImageData, TextData],
+                    confidence: Optional[float] = None) -> "NDTextEntity":
         return cls(location=Location(
             start=text_entity.start,
             end=text_entity.end,

tests/data/serialization/ndjson/test_text_entity.py

@@ -10,7 +10,7 @@
     "tests/data/assets/ndjson/text_entity_without_confidence_import.json"
 ])
 def test_text_entity_import(filename: str):
-    with open('tests/data/assets/ndjson/text_entity_import.json', 'r') as file:
+    with open(filename, 'r') as file:
         data = json.load(file)
     res = NDJsonConverter.deserialize(data).as_list()
     res = list(NDJsonConverter.serialize(res))