linter changes

notebooks/community/generative_ai/bq_dataframes_llm_code_generation.ipynb

@@ -761,7 +761,8 @@
         "\n",
         "BUCKET_ID = \"code-samples-\" + str(uuid.uuid1())\n",
         "\n",
-        "!gcloud storage buckets create gs://{BUCKET_ID}"      ]
+        "!gcloud storage buckets create gs://{BUCKET_ID}"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -873,7 +874,8 @@
       "outputs": [],
       "source": [
         "# # Delete the Google Cloud Storage bucket and files\n",
-        "# ! gcloud storage rm --recursive gs://{BUCKET_ID}\n",        "# print(f\"Deleted bucket '{BUCKET_ID}'.\")"
+        "# ! gcloud storage rm --recursive gs://{BUCKET_ID}\n",
+        "# print(f\"Deleted bucket '{BUCKET_ID}'.\")"
       ]
     }
   ],

notebooks/community/model_garden/model_garden_jax_vision_transformer.ipynb

@@ -353,7 +353,8 @@
       },
       "outputs": [],
       "source": [
-        "! gcloud storage buckets create --location={REGION} --project={PROJECT_ID} {BUCKET_URI}"      ]
+        "! gcloud storage buckets create --location={REGION} --project={PROJECT_ID} {BUCKET_URI}"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -581,7 +582,9 @@
       "source": [
         "# Move Flower data from local directory to Cloud Storage.\n",
         "# This step takes around 2 mins to finish.\n",
-        "! gcloud storage cp --recursive $local_flower_data_directory/train/* $FLOWER_DATA_GCS_PATH/train/\n",        "! gcloud storage cp --recursive $local_flower_data_directory/test/* $FLOWER_DATA_GCS_PATH/test/"      ]
+        "! gcloud storage cp --recursive $local_flower_data_directory/train/* $FLOWER_DATA_GCS_PATH/train/\n",
+        "! gcloud storage cp --recursive $local_flower_data_directory/test/* $FLOWER_DATA_GCS_PATH/test/"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -782,7 +785,7 @@
         "    serving_container_args=[],\n",
         "    location=REGION,\n",
         "    serving_container_environment_variables=serving_env,\n",
-        "    model_garden_source_model_name=\"publishers/google/models/vit-jax\"\n",
+        "    model_garden_source_model_name=\"publishers/google/models/vit-jax\",\n",
         ")\n",
         "\n",
         "jax_vit_endpoint = jax_vit_model.deploy(\n",
@@ -793,9 +796,7 @@
         "    accelerator_count=1,\n",
         "    min_replica_count=1,\n",
         "    max_replica_count=1,\n",
-        "    system_labels={\n",
-        "        \"NOTEBOOK_NAME\": \"model_garden_jax_vision_transformer.ipynb\"\n",
-        "    },\n",
+        "    system_labels={\"NOTEBOOK_NAME\": \"model_garden_jax_vision_transformer.ipynb\"},\n",
         ")"
       ]
     },
@@ -864,7 +865,8 @@
         "# Delete Cloud Storage objects that were created.\n",
         "delete_bucket = False\n",
         "if delete_bucket or os.getenv(\"IS_TESTING\"):\n",
-        "    ! gcloud storage rm --recursive $BUCKET_URI"      ]
+        "    ! gcloud storage rm --recursive $BUCKET_URI"
+      ]
     }
   ],
   "metadata": {

notebooks/community/model_garden/model_garden_keras_yolov8.ipynb

@@ -242,7 +242,7 @@
         "    local_metrics_path = os.path.join(temp_dir.name, label_map_yaml_filename)\n",
         "\n",
         "    ! gcloud storage cp $label_map_yaml_filepath $local_metrics_path\n",
-        "    with open(local_metrics_path, \"r\") as input_file:\n",
+        "    with open(local_metrics_path) as input_file:\n",
         "        label_map = yaml.safe_load(input_file.read())[\"label_map\"]\n",
         "    temp_dir.cleanup()\n",
         "    return label_map\n",

notebooks/community/model_garden/model_garden_mediapipe_object_detection.ipynb

@@ -501,7 +501,7 @@
         "            [\"gcloud\", \"storage\", \"cp\", evaluation_result_path, eval_result_filename],\n",
         "            stderr=subprocess.STDOUT,\n",
         "        )\n",
-        "        with open(eval_result_filename, \"r\") as input_file:\n",
+        "        with open(eval_result_filename) as input_file:\n",
         "            evalutation_result = json.loads(input_file.read())\n",
         "        return evalutation_result[\"loss\"], evalutation_result[\"coco_metrics\"]\n",
         "    except:\n",

notebooks/official/datasets/get_started_with_data_labeling.ipynb

@@ -381,7 +381,8 @@
       },
       "outputs": [],
       "source": [
-        "! gcloud storage buckets create --location=$REGION $BUCKET_URI"      ]
+        "! gcloud storage buckets create --location=$REGION $BUCKET_URI"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -583,7 +584,8 @@
         "print(IMPORT_FILE)\n",
         "\n",
         "# printing content of uploaded file\n",
-        "! gcloud storage cat $IMPORT_FILE"      ]
+        "! gcloud storage cat $IMPORT_FILE"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -705,7 +707,8 @@
       "outputs": [],
       "source": [
         "# create placeholder file for instructions for data labeling\n",
-        "! echo \"this is instruction\" >> instruction.txt | gcloud storage cp instruction.txt $BUCKET_URI"      ]
+        "! echo \"this is instruction\" >> instruction.txt | gcloud storage cp instruction.txt $BUCKET_URI"
+      ]
     },
     {
       "cell_type": "code",
@@ -861,7 +864,8 @@
         "\n",
         "# Delete the bucket created\n",
         "if delete_bucket or os.getenv(\"IS_TESTING\"):\n",
-        "    ! gcloud storage rm --recursive $BUCKET_URI"      ]
+        "    ! gcloud storage rm --recursive $BUCKET_URI"
+      ]
     }
   ],
   "metadata": {

notebooks/official/explainable_ai/sdk_automl_tabular_classification_online_explain.ipynb

@@ -291,7 +291,8 @@
       },
       "outputs": [],
       "source": [
-        "! gcloud storage buckets create --location {LOCATION} --project {PROJECT_ID} {BUCKET_URI}"      ]
+        "! gcloud storage buckets create --location {LOCATION} --project {PROJECT_ID} {BUCKET_URI}"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -371,11 +372,14 @@
       },
       "outputs": [],
       "source": [
-        "count = ! gcloud storage cat $IMPORT_FILE | wc -l\n",        "print(\"Number of Examples\", int(count[0]))\n",
+        "count = ! gcloud storage cat $IMPORT_FILE | wc -l\n",
+        "print(\"Number of Examples\", int(count[0]))\n",
         "\n",
         "print(\"First 10 rows\")\n",
-        "! gcloud storage cat $IMPORT_FILE | head\n",        "\n",
-        "heading = ! gcloud storage cat $IMPORT_FILE | head -n1\n",        "label_column = str(heading).split(\",\")[-1].split(\"'\")[0]\n",
+        "! gcloud storage cat $IMPORT_FILE | head\n",
+        "\n",
+        "heading = ! gcloud storage cat $IMPORT_FILE | head -n1\n",
+        "label_column = str(heading).split(\",\")[-1].split(\"'\")[0]\n",
         "print(\"Label Column Name\", label_column)\n",
         "if label_column is None:\n",
         "    raise Exception(\"label column missing\")"
@@ -836,7 +840,8 @@
         "# Delete the Cloud Storage bucket\n",
         "delete_bucket = False  # set True for deletion\n",
         "if delete_bucket:\n",
-        "    ! gcloud storage rm --recursive $BUCKET_URI"      ]
+        "    ! gcloud storage rm --recursive $BUCKET_URI"
+      ]
     }
   ],
   "metadata": {

notebooks/official/prediction/get_started_with_dedicated_endpoint.ipynb

@@ -217,7 +217,8 @@
       "source": [
         "# Create GCS Bucket\n",
         "BUCKET_URI = \"gs://your-bucket-name-unique\"  # @param {type:\"string\"}\n",
-        "! gcloud storage buckets create --location={LOCATION} --project={PROJECT_ID} {BUCKET_URI}"      ]
+        "! gcloud storage buckets create --location={LOCATION} --project={PROJECT_ID} {BUCKET_URI}"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -308,7 +309,8 @@
         "IMAGE_URI = \"us-docker.pkg.dev/vertex-ai/prediction/tf2-cpu.2-12:latest\"\n",
         "\n",
         "# Copy Test Models to the Bucket\n",
-        "! gcloud storage cp --recursive \"gs://cloud-samples-data/vertex-ai/prediction/test-models-requests/tensorflow/*\" {ARTIFACT_URI}\n",        "\n",
+        "! gcloud storage cp --recursive \"gs://cloud-samples-data/vertex-ai/prediction/test-models-requests/tensorflow/*\" {ARTIFACT_URI}\n",
+        "\n",
         "model = aiplatform.Model.upload(\n",
         "    display_name=DISPLAY_NAME,\n",
         "    artifact_uri=ARTIFACT_URI,\n",
@@ -784,7 +786,8 @@
       },
       "outputs": [],
       "source": [
-        "! gcloud storage rm --recursive {BUCKET_URI}"      ]
+        "! gcloud storage rm --recursive {BUCKET_URI}"
+      ]
     },
     {
       "cell_type": "markdown",

notebooks/official/tensorboard/tensorboard_custom_training_with_custom_container.ipynb

@@ -347,7 +347,8 @@
       },
       "outputs": [],
       "source": [
-        "! gcloud storage buckets create --location {LOCATION} --project {PROJECT_ID} {BUCKET_URI}"      ]
+        "! gcloud storage buckets create --location {LOCATION} --project {PROJECT_ID} {BUCKET_URI}"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -719,8 +720,10 @@
       },
       "outputs": [],
       "source": [
-        "! gcloud storage buckets add-iam-policy-binding $BUCKET_URI --member=serviceAccount:{SERVICE_ACCOUNT} --role=roles/storage.objectCreator\n",        "\n",
-        "! gcloud storage buckets add-iam-policy-binding $BUCKET_URI --member=serviceAccount:{SERVICE_ACCOUNT} --role=roles/storage.objectViewer"      ]
+        "! gcloud storage buckets add-iam-policy-binding $BUCKET_URI --member=serviceAccount:{SERVICE_ACCOUNT} --role=roles/storage.objectCreator\n",
+        "\n",
+        "! gcloud storage buckets add-iam-policy-binding $BUCKET_URI --member=serviceAccount:{SERVICE_ACCOUNT} --role=roles/storage.objectViewer"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -837,7 +840,8 @@
         "# Delete GCS bucket.\n",
         "delete_bucket = False\n",
         "if delete_bucket:\n",
-        "    ! gcloud storage rm --recursive $BUCKET_URI"      ]
+        "    ! gcloud storage rm --recursive $BUCKET_URI"
+      ]
     }
   ],
   "metadata": {

notebooks/official/tensorboard/tensorboard_vertex_ai_pipelines_integration.ipynb

@@ -350,7 +350,8 @@
       },
       "outputs": [],
       "source": [
-        "! gcloud storage buckets create --location={LOCATION} --project={PROJECT_ID} {BUCKET_URI}"      ]
+        "! gcloud storage buckets create --location={LOCATION} --project={PROJECT_ID} {BUCKET_URI}"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -845,7 +846,8 @@
         "# Delete GCS bucket.\n",
         "delete_bucket = False  # set True for deletion\n",
         "if delete_bucket:\n",
-        "    ! gcloud storage rm --recursive {BUCKET_URI}"      ]
+        "    ! gcloud storage rm --recursive {BUCKET_URI}"
+      ]
     }
   ],
   "metadata": {

notebooks/official/workbench/ads_targetting/training-multi-class-classification-model-for-ads-targeting-usecase.ipynb

@@ -282,7 +282,8 @@
       },
       "outputs": [],
       "source": [
-        "! gcloud storage buckets create --location=$LOCATION --project=$PROJECT_ID $BUCKET_URI"      ]
+        "! gcloud storage buckets create --location=$LOCATION --project=$PROJECT_ID $BUCKET_URI"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -839,7 +840,8 @@
         "\n",
         "delete_bucket = False\n",
         "if delete_bucket:\n",
-        "    ! gcloud storage rm --recursive $BUCKET_URI"      ]
+        "    ! gcloud storage rm --recursive $BUCKET_URI"
+      ]
     }
   ],
   "metadata": {