default

mostlyai/qa/reporting.py

@@ -71,7 +71,7 @@ def report(
     max_sample_size_accuracy: int | None = None,
     max_sample_size_embeddings: int | None = None,
     statistics_path: str | Path | None = None,
-    update_progress: ProgressCallback | None = None,
+    update_progress: ProgressCallback = lambda *args, **kwargs: None,
 ) -> tuple[Path, ModelMetrics | None]:
     """
     Generate an HTML report and metrics for assessing synthetic data quality.
@@ -120,10 +120,6 @@ def report(
         if hol_tgt_data is not None and hol_ctx_data is None:
             raise ValueError("If syn_ctx_data is provided, then hol_ctx_data must also be provided.")
 
-    if update_progress is None:
-
-        def update_progress(*args, **kwargs): ...
-
     with TemporaryWorkspace() as workspace:
         # ensure all columns are present and in the same order as training data
         syn_tgt_data = syn_tgt_data[trn_tgt_data.columns]

mostlyai/qa/reporting_from_statistics.py

@@ -47,7 +47,7 @@ def report_from_statistics(
     report_extra_info: str = "",
     max_sample_size_accuracy: int | None = None,
     max_sample_size_embeddings: int | None = None,
-    update_progress: ProgressCallback | None = None,
+    update_progress: ProgressCallback = lambda *args, **kwargs: None,
 ) -> Path:
     """
     Generate an HTML report based on previously generated statistics and newly provided synthetic data samples.
@@ -71,10 +71,6 @@ def report_from_statistics(
         The path to the generated HTML report.
     """
 
-    if update_progress is None:
-
-        def update_progress(*args, **kwargs): ...
-
     with TemporaryWorkspace() as workspace:
         # prepare report_path
         if report_path is None: