community-content/sklearn_text_classification_from_script_using_vertex_sdk/create_job.ipynb (6 lines):
	- line 53: "] = \"\"  # TODO: path to credentials .json file"
	- line 90: "REGION = \"\"  # TODO e.g. europe\n",
	- line 91: "ZONE = \"\"  # TODO e.g. west4\n",
	- line 116: "    \"news-classifier-training\"  # TODO: How the job is displayed on Vertex AI GUI\n",
	- line 120: "    \"\"  # TODO GCS URI where meta data and artifacts are stored for this job\n",
	- line 161: "    \"news-classifier-model\"  # TODO: Name for the resulting managed Vertex AI Model.\n",


notebooks/notebook_template.ipynb (4 lines):
	- line 34: "{TODO: Update the links below}\n",
	- line 68: "{TODO: Explain what this notebook demonstrates, and what you will learn from the notebook}\n",
	- line 70: "{TODO: Add high level bullets for the steps performed in the notebook}"
	- line 215: "{TODO: Clean up resources created in this notebook. If no resources are created in this notebook, remove this section}"


community-content/pipeline_components/google-cloud/Vertex_AI/Models/Upload_PyTorch_model_archive/component.yaml (2 lines):
	- line 74: # TODO: Remove this code when Vertex Endpoints service starts supporting other container registries.
	- line 150: # TODO: Fix gsutil bugs (requires project ID, has auth issues) and use gsutil instead.


notebooks/community/ml_ops/stage2/get_started_with_distributed_training_xgboost.ipynb (2 lines):
	- line 960: "*TODO: Unhardcode PROJECT_ID*"
	- line 1430: "# TODO: delete repo, delete images"


notebooks/notebook_template_review.py (2 lines):
	- line 171: ERROR_TWRULE_TODO = 51,
	- line 1118: ret = notebook.report_error(ErrorCode.ERROR_TWRULE_TODO, f'TODO in cell: {line}')


community-content/pipeline_components/PyTorch/Create_PyTorch_Model_Archive/with_base_handler/component.yaml (1 line):
	- line 26: # TODO: Use the built-in base_handler once my fix is merged: https://github.com/pytorch/serve/pull/1682


notebooks/official/training/sdk_pytorch_torchrun_custom_container_training_imagenet.ipynb (1 line):
	- line 1313: "        # TODO: this should also be done with the ProgressMeter\n",


notebooks/community/sdk/sdk_pytorch_lightning_custom_container_training.ipynb (1 line):
	- line 248: "1. [Enable the Vertex AI API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com). {TODO: Update the APIs needed for your tutorial. Edit the API names, and update the link to append the API IDs, separating each one with a comma. For example, container.googleapis.com,cloudbuild.googleapis.com}\n",


notebooks/community/sdk/sdk_pytorch_torchrun_custom_container_training_imagenet.ipynb (1 line):
	- line 1375: "        # TODO: this should also be done with the ProgressMeter\n",


notebooks/community/ml_ops/stage4/get_started_with_model_evaluation.ipynb (1 line):
	- line 1100: "### TODO: Get batch results"


notebooks/community/model_registry/get_started_with_vertex_ai_deployer.ipynb (1 line):
	- line 157: "{TODO: Suggest using the latest major GA version of each package; i.e., --upgrade}"


community-content/pipeline_components/pandas/Binarize_column/in_CSV_format/component.yaml (1 line):
	- line 63: # TODO: Do a proper benchmark.


notebooks/community/persistent_resource/training_code/mpg_container/trainer/train.py (1 line):
	- line 47: # TODO: replace `your-gcs-bucket` with the name of the Storage bucket you created earlier


notebooks/community/pipelines/google_cloud_pipeline_components_dataproc_tabular.ipynb (1 line):
	- line 2378: "            # TODO: change to Dataproc Serverless Runtime 1.1.x image when MLeap supports Spark 3.3\n",