[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -33,12 +33,12 @@ repos:
     -   id: nbqa-isort
         args: [--profile=black, -l80]
 -   repo: https://github.com/PyCQA/isort
-    rev: 7.0.0
+    rev: 8.0.1
     hooks:
     -   id: isort
         args: ["--profile", "black", "-l80"]
 -   repo: https://github.com/psf/black-pre-commit-mirror
-    rev: 25.12.0
+    rev: 26.3.1
     hooks:
     -   id: black
         args: [-l 80]
@@ -50,7 +50,7 @@ repos:
     -   id: pyupgrade
         args: [--py36-plus]
 -   repo: https://github.com/pycqa/pylint
-    rev: v4.0.4
+    rev: v4.0.5
     hooks:
     -   id: pylint
         args: ["--disable", "unexpected-keyword-arg,no-value-for-parameter,too-many-function-args"]

notebooks/end-to-end-structured/labs/4a_sample_babyweight.ipynb

@@ -224,9 +224,7 @@
     "    ) AS hash_values\n",
     "FROM\n",
     "    ({CTE_hash_cols_fixed})\n",
-    "\"\"\".format(\n",
-    "    CTE_hash_cols_fixed=hash_cols_fixed_query\n",
-    ")\n",
+    "\"\"\".format(CTE_hash_cols_fixed=hash_cols_fixed_query)\n",
     "\n",
     "display_dataframe_head_from_query(data_query)"
    ]
@@ -253,9 +251,7 @@
     "    ({CTE_data})\n",
     "GROUP BY\n",
     "    hash_values\n",
-    "\"\"\".format(\n",
-    "    CTE_data=data_query\n",
-    ")\n",
+    "\"\"\".format(CTE_data=data_query)\n",
     "\n",
     "display_dataframe_head_from_query(first_bucketing_query)"
    ]
@@ -314,9 +310,7 @@
     "        ({CTE_second_bucketing})) AS percent_records\n",
     "FROM\n",
     "    ({CTE_second_bucketing})\n",
-    "\"\"\".format(\n",
-    "    CTE_second_bucketing=second_bucketing_query\n",
-    ")\n",
+    "\"\"\".format(CTE_second_bucketing=second_bucketing_query)\n",
     "\n",
     "display_dataframe_head_from_query(percentages_query)"
    ]
@@ -344,9 +338,7 @@
     "WHERE\n",
     "    bucket_index >= 0\n",
     "    AND bucket_index < {train_buckets}\n",
-    "\"\"\".format(\n",
-    "    CTE_percentages=percentages_query, train_buckets=train_buckets\n",
-    ")\n",
+    "\"\"\".format(CTE_percentages=percentages_query, train_buckets=train_buckets)\n",
     "\n",
     "display_dataframe_head_from_query(train_query)"
    ]
@@ -447,9 +439,7 @@
     "    *\n",
     "FROM\n",
     "    ({CTE_test})\n",
-    "\"\"\".format(\n",
-    "    CTE_train=train_query, CTE_eval=eval_query, CTE_test=test_query\n",
-    ")\n",
+    "\"\"\".format(CTE_train=train_query, CTE_eval=eval_query, CTE_test=test_query)\n",
     "\n",
     "display_dataframe_head_from_query(union_query)"
    ]
@@ -481,9 +471,7 @@
     "    dataset_name\n",
     "ORDER BY\n",
     "    dataset_id\n",
-    "\"\"\".format(\n",
-    "    CTE_union=union_query\n",
-    ")\n",
+    "\"\"\".format(CTE_union=union_query)\n",
     "\n",
     "display_dataframe_head_from_query(split_query)"
    ]

notebooks/end-to-end-structured/solutions/1a_explore_data_babyweight.ipynb

@@ -223,9 +223,7 @@
     "        year > 2000\n",
     "    GROUP BY\n",
     "        {column_name}\n",
-    "    \"\"\".format(\n",
-    "        column_name=column_name\n",
-    "    )\n",
+    "    \"\"\".format(column_name=column_name)\n",
     "\n",
     "    return bq.query(sql).to_dataframe()"
    ]

notebooks/end-to-end-structured/solutions/4a_sample_babyweight.ipynb

@@ -220,9 +220,7 @@
     "    ) AS hash_values\n",
     "FROM\n",
     "    ({CTE_hash_cols_fixed})\n",
-    "\"\"\".format(\n",
-    "    CTE_hash_cols_fixed=hash_cols_fixed_query\n",
-    ")\n",
+    "\"\"\".format(CTE_hash_cols_fixed=hash_cols_fixed_query)\n",
     "\n",
     "display_dataframe_head_from_query(data_query)"
    ]
@@ -249,9 +247,7 @@
     "    ({CTE_data})\n",
     "GROUP BY\n",
     "    hash_values\n",
-    "\"\"\".format(\n",
-    "    CTE_data=data_query\n",
-    ")\n",
+    "\"\"\".format(CTE_data=data_query)\n",
     "\n",
     "display_dataframe_head_from_query(first_bucketing_query)"
    ]
@@ -310,9 +306,7 @@
     "        ({CTE_second_bucketing})) AS percent_records\n",
     "FROM\n",
     "    ({CTE_second_bucketing})\n",
-    "\"\"\".format(\n",
-    "    CTE_second_bucketing=second_bucketing_query\n",
-    ")\n",
+    "\"\"\".format(CTE_second_bucketing=second_bucketing_query)\n",
     "\n",
     "display_dataframe_head_from_query(percentages_query)"
    ]
@@ -340,9 +334,7 @@
     "WHERE\n",
     "    bucket_index >= 0\n",
     "    AND bucket_index < {train_buckets}\n",
-    "\"\"\".format(\n",
-    "    CTE_percentages=percentages_query, train_buckets=train_buckets\n",
-    ")\n",
+    "\"\"\".format(CTE_percentages=percentages_query, train_buckets=train_buckets)\n",
     "\n",
     "display_dataframe_head_from_query(train_query)"
    ]
@@ -443,9 +435,7 @@
     "    *\n",
     "FROM\n",
     "    ({CTE_test})\n",
-    "\"\"\".format(\n",
-    "    CTE_train=train_query, CTE_eval=eval_query, CTE_test=test_query\n",
-    ")\n",
+    "\"\"\".format(CTE_train=train_query, CTE_eval=eval_query, CTE_test=test_query)\n",
     "\n",
     "display_dataframe_head_from_query(union_query)"
    ]
@@ -477,9 +467,7 @@
     "    dataset_name\n",
     "ORDER BY\n",
     "    dataset_id\n",
-    "\"\"\".format(\n",
-    "    CTE_union=union_query\n",
-    ")\n",
+    "\"\"\".format(CTE_union=union_query)\n",
     "\n",
     "display_dataframe_head_from_query(split_query)"
    ]

notebooks/image_models/labs/1_mnist_linear_dnn.ipynb

@@ -176,7 +176,7 @@
     "def create_shape_test(training):\n",
     "    dataset = load_dataset(training=training)\n",
     "    data_iter = dataset.__iter__()\n",
-    "    (images, labels) = data_iter.get_next()\n",
+    "    images, labels = data_iter.get_next()\n",
     "    expected_image_shape = (BATCH_SIZE, HEIGHT, WIDTH)\n",
     "    expected_label_ndim = 2\n",
     "    assert images.shape == expected_image_shape\n",

notebooks/image_models/solutions/1_mnist_linear_dnn.ipynb

@@ -212,7 +212,7 @@
     "def create_shape_test(training):\n",
     "    dataset = load_dataset(training=training)\n",
     "    data_iter = dataset.__iter__()\n",
-    "    (images, labels) = data_iter.get_next()\n",
+    "    images, labels = data_iter.get_next()\n",
     "    expected_image_shape = (BATCH_SIZE, HEIGHT, WIDTH)\n",
     "    expected_label_ndim = 2\n",
     "    assert images.shape == expected_image_shape\n",

notebooks/kubeflow_pipelines/cicd/labs/kfp-cli_vertex/run_pipeline.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Run a compiled Kubeflow pipeline on Vertex AI."""
+
 import fire
 from google.cloud import aiplatform
 

notebooks/kubeflow_pipelines/cicd/labs/pipeline_vertex/pipeline.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Kubeflow Covertype Pipeline."""
+
 import os
 
 from kfp import dsl

notebooks/kubeflow_pipelines/cicd/labs/pipeline_vertex/training_lightweight_component.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Lightweight component training function."""
+
 from kfp.dsl import component
 
 

notebooks/kubeflow_pipelines/cicd/labs/pipeline_vertex/tuning_lightweight_component.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Lightweight component tuning function."""
+
 from typing import NamedTuple
 
 from kfp.dsl import component

notebooks/kubeflow_pipelines/cicd/labs/trainer_image_vertex/train.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Covertype Classifier trainer script."""
+
 import os
 import pickle
 import subprocess

notebooks/kubeflow_pipelines/cicd/solutions/kfp-cli_vertex/run_pipeline.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Run a compiled Kubeflow pipeline on Vertex AI."""
+
 import fire
 from google.cloud import aiplatform
 

notebooks/kubeflow_pipelines/cicd/solutions/pipeline_vertex/pipeline.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Kubeflow Covertype Pipeline."""
+
 import os
 
 from kfp import dsl

notebooks/kubeflow_pipelines/cicd/solutions/pipeline_vertex/training_lightweight_component.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Lightweight component training function."""
+
 from kfp.dsl import component
 
 

notebooks/kubeflow_pipelines/cicd/solutions/pipeline_vertex/tuning_lightweight_component.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Lightweight component tuning function."""
+
 from typing import NamedTuple
 
 from kfp.dsl import component

notebooks/kubeflow_pipelines/cicd/solutions/trainer_image_vertex/train.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Covertype Classifier trainer script."""
+
 import os
 import pickle
 import subprocess

notebooks/kubeflow_pipelines/pipelines/challenge_labs/pipeline_vertex/pipeline.py

@@ -13,6 +13,7 @@
 # permissions and limitations under the License.
 
 """Kubeflow Covertype Pipeline."""
+
 import os
 
 from google.cloud.aiplatform import hyperparameter_tuning as hpt

notebooks/kubeflow_pipelines/pipelines/challenge_labs/pipeline_vertex/retrieve_best_hptune_component.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Lightweight component tuning function."""
+
 from typing import Dict, List, NamedTuple
 
 from kfp.dsl import component

notebooks/kubeflow_pipelines/pipelines/challenge_labs/trainer_image_vertex/train.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Covertype Classifier trainer script."""
+
 import os
 import pickle
 import subprocess

notebooks/kubeflow_pipelines/pipelines/labs/pipeline_vertex/pipeline.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Kubeflow Covertype Pipeline."""
+
 # pylint: disable=unused-import,unused-argument,unused-variable
 import os
 

notebooks/kubeflow_pipelines/pipelines/labs/pipeline_vertex/retrieve_best_hptune_component.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Lightweight component tuning function."""
+
 from typing import Dict, List, NamedTuple
 
 from kfp.dsl import component

notebooks/kubeflow_pipelines/pipelines/labs/pipeline_vertex/training_lightweight_component.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Lightweight component training function."""
+
 from kfp.dsl import component
 
 

notebooks/kubeflow_pipelines/pipelines/labs/pipeline_vertex/tuning_lightweight_component.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Lightweight component tuning function."""
+
 from typing import NamedTuple
 
 from kfp.dsl import component

notebooks/kubeflow_pipelines/pipelines/labs/trainer_image_vertex/train.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Covertype Classifier trainer script."""
+
 import os
 import pickle
 import subprocess

notebooks/kubeflow_pipelines/pipelines/solutions/pipeline_vertex/pipeline.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Kubeflow Covertype Pipeline."""
+
 import os
 
 from kfp import dsl

notebooks/kubeflow_pipelines/pipelines/solutions/pipeline_vertex/pipeline_prebuilt.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Kubeflow Covertype Pipeline."""
+
 import os
 
 from google.cloud.aiplatform import hyperparameter_tuning as hpt

notebooks/kubeflow_pipelines/pipelines/solutions/pipeline_vertex/retrieve_best_hptune_component.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Lightweight component tuning function."""
+
 from typing import Dict, List, NamedTuple
 
 from kfp.dsl import component

notebooks/kubeflow_pipelines/pipelines/solutions/pipeline_vertex/training_lightweight_component.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Lightweight component training function."""
+
 from kfp.dsl import component
 
 

notebooks/kubeflow_pipelines/pipelines/solutions/pipeline_vertex/tuning_lightweight_component.py

@@ -12,6 +12,7 @@
 # express or implied. See the License for the specific language governing
 # permissions and limitations under the License.
 """Lightweight component tuning function."""
+
 from typing import NamedTuple
 
 from kfp.dsl import component

notebooks/kubeflow_pipelines/pipelines/solutions/trainer_image_vertex/train.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Covertype Classifier trainer script."""
+
 import os
 import pickle
 import subprocess

notebooks/text_models/labs/keras_for_text_classification.ipynb

@@ -153,9 +153,7 @@
     "WHERE\n",
     "    REGEXP_CONTAINS(REGEXP_EXTRACT(url, '{0}'), '.com$')\n",
     "    AND LENGTH(title) > 10\n",
-    "\"\"\".format(\n",
-    "    regex\n",
-    ")\n",
+    "\"\"\".format(regex)\n",
     "\n",
     "\n",
     "query = \"\"\"\n",
@@ -165,9 +163,7 @@
     "FROM\n",
     "  ({sub_query})\n",
     "WHERE (source = 'github' OR source = 'nytimes' OR source = 'techcrunch')\n",
-    "\"\"\".format(\n",
-    "    sub_query=sub_query\n",
-    ")\n",
+    "\"\"\".format(sub_query=sub_query)\n",
     "\n",
     "print(query)"
    ]