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cookbooks/Cookbook_1_Validate_data_during_ingestion_happy_path.ipynb

@@ -580,7 +580,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "tutorial.airflow.trigger_airflow_dag_and_wait_for_run(\"cookbook1_validate_and_ingest_to_postgres\")"
+    "tutorial.airflow.trigger_airflow_dag_and_wait_for_run(\n",
+    "    \"cookbook1_validate_and_ingest_to_postgres\"\n",
+    ")"
    ]
   },
   {
@@ -626,7 +628,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "62",
+   "id": "61",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -636,7 +638,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "63",
+   "id": "62",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -647,7 +649,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "64",
+   "id": "63",
    "metadata": {},
    "source": [
     "It can also be helpful to view the pipeline logs to investigate the details of a successful (or unsuccessful run). To examine these logs in the Airflow UI:\n",
@@ -661,23 +663,23 @@
   },
   {
    "cell_type": "markdown",
-   "id": "65",
+   "id": "64",
    "metadata": {},
    "source": [
     "![Check logs for successful pipeline run](static/images/cookbook1_check_pipeline_logs.gif)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "66",
+   "id": "65",
    "metadata": {},
    "source": [
     "## Summary"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "67",
+   "id": "66",
    "metadata": {},
    "source": [
     "This cookbook has walked you through the process of validating data using GX and integrating the data validation workflow in an Airflow pipeline.\n",
@@ -688,7 +690,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "fd2eb9b8-18c4-4459-8875-a30f0f4ae550",
+   "id": "67",
    "metadata": {},
    "outputs": [],
    "source": []