Fix linting issues

Author: lennartkats-db

default_python/src/default_python_etl/explorations/sample_exploration.ipynb

@@ -0,0 +1,63 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {},
+     "inputWidgets": {},
+     "nuid": "19a992e9-55e0-49e4-abc7-8c92c420dd5b",
+     "showTitle": false,
+     "tableResultSettingsMap": {},
+     "title": ""
+    }
+   },
+   "source": [
+    "### Example Exploratory Notebook\n",
+    "\n",
+    "Use this notebook to explore the data generated by the pipeline in your preferred programming language.\n",
+    "\n",
+    "**Note**: This notebook is not executed as part of the pipeline."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {},
+     "inputWidgets": {},
+     "nuid": "1b0a82fa-3c6a-4f29-bb43-ded1c4fd77c6",
+     "showTitle": false,
+     "tableResultSettingsMap": {},
+     "title": ""
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# !!! Before performing any data analysis, make sure to run the pipeline to materialize the sample datasets. The tables referenced in this notebook depend on that step.\n",
+    "\n",
+    "display(spark.sql(\"SELECT * FROM catalog.user_name.sample_trips_default_python\"))"
+   ]
+  }
+ ],
+ "metadata": {
+  "application/vnd.databricks.v1+notebook": {
+   "computePreferences": null,
+   "dashboards": [],
+   "environmentMetadata": null,
+   "inputWidgetPreferences": null,
+   "language": "python",
+   "notebookMetadata": {
+    "pythonIndentUnit": 2
+   },
+   "notebookName": "sample_exploration",
+   "widgets": {}
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

knowledge_base/udtf-operator/tests/conftest.py

@@ -1,6 +1,8 @@
 """Pytest configuration providing Spark session and fixture loading."""
 
-import os, sys, pathlib
+import os
+import sys
+import pathlib
 from contextlib import contextmanager
 
 

knowledge_base/udtf-operator/tests/test_kmeans_udtf.py

@@ -20,7 +20,7 @@ def test_kmeans_udtf(spark, load_fixture):
         assert fn == "main.test.test_k_means"
 
         result = spark.sql(
-            f"""
+            """
             SELECT * FROM main.test.test_k_means(
                 input_data => TABLE(SELECT * FROM titanic_sample),
                 id_column => 'PassengerId',