Merge pull request #127 from Labelbox/ms/bug-fix

fixed bugs, ready for release

Author: msokoloff1

CHANGELOG.md

@@ -1,5 +1,13 @@
 # Changelog
 
+# Version 2.5.2 (2021-03-25)
+## Fix
+* Ontology builder defaults to None for missing fields instead of empty lists
+* MAL validation added extra fields to subclasses 
+
+### Added
+* Example notebooks
+
 ## Version 2.5.1 (2021-03-15)
 ### Fix
 * `Dataset.data_row_for_external_id` No longer throws `ResourceNotFoundError` when there are duplicates

README.md

@@ -6,7 +6,7 @@ The Labelbox Python API offers a simple, user-friendly way to interact with the
 
 ## Requirements
 
-* Use Python 3.7 or 3.8.
+* Use Python 3.6, 3.7 or 3.8.
 * Create an account by visiting http://app.labelbox.com/.
 * [Generate an API key](https://labelbox.com/docs/api/getting-started#create_api_key).
 

examples/README.md

@@ -10,7 +10,7 @@ Structure:
         * [Data rows](basics/data_rows.ipynb)
         * [Datasets](basics/datasets.ipynb)
         * [Labels](basics/labels.ipynb)
-        * [Ontologies](basics/ontology.ipynb)
+        * [Ontologies](basics/ontologies.ipynb)
         * [Projects](basics/projects.ipynb)
 2. label_export
     * [Image annotation export](label_export/images.ipynb)

labelbox/__init__.py

@@ -1,5 +1,5 @@
 name = "labelbox"
-__version__ = "2.5.1"
+__version__ = "2.5.2"
 
 from labelbox.client import Client
 from labelbox.schema.bulk_import_request import BulkImportRequest

labelbox/schema/bulk_import_request.py

@@ -632,14 +632,14 @@ def validate_subclasses(cls, value, field):
         #Create uuid and datarow id so we don't have to define classification objects twice
         #This is caused by the fact that we require these ids for top level classifications but not for subclasses
         results = []
+        dummy_id = 'child'.center(25, '_')
         for row in value:
-            row.update({
-                'dataRow': {
-                    'id': 'child'.center(25, '_')
+            results.append({
+                **row, 'dataRow': {
+                    'id': dummy_id
                 },
                 'uuid': str(uuid4())
             })
-            results.append(row)
         return results