chore: remove to_pandas_dtypes_overrides dead code

bigframes/dtypes.py

@@ -492,21 +492,6 @@ def cast_ibis_value(
     )
 
 
-def to_pandas_dtypes_overrides(schema: Iterable[bigquery.SchemaField]) -> Dict:
-    """For each STRUCT field, make sure we specify the full type to use."""
-    # TODO(swast): Also override ARRAY fields.
-    dtypes = {}
-    for field in schema:
-        if field.field_type == "RECORD" and field.mode != "REPEATED":
-            # TODO(swast): We're using a private API here. Would likely be
-            # better if we called `to_arrow()` and converted to a pandas
-            # DataFrame ourselves from that.
-            dtypes[field.name] = pd.ArrowDtype(
-                gcb3p_pandas_helpers.bq_to_arrow_data_type(field)
-            )
-    return dtypes
-
-
 def is_dtype(scalar: typing.Any, dtype: Dtype) -> bool:
     """Captures whether a scalar can be losslessly represented by a dtype."""
     if scalar is None:

samples/snippets/create_single_timeseries_forecasting_model_test.py

@@ -60,15 +60,16 @@ def test_create_single_timeseries(random_model_id):
     print(evaluation)
 
     # Inspect the coefficients of your model
-    f'''
+    '''
+
     SELECT *
     FROM ML.ARIMA_COEFFICIENTS(MODEL `{your_model_id}`)
-    '''
+
     evaluation.ML.ARIMA_COEFFICIENTS()
-
+    '''
     # Use your model to forecast the time series
     #standardSQL
-    your_model_id.forecast()
+    ga_arima_model.predict(horizon= 30, confidence_level= 0.8)
 
     # Explain and visualize the forecasting results
     f'''