3D-point-cloud-input-data-processing.ipynb failed CI

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/ground_truth_labeling_jobs/3d_point_cloud_input_data_processing/3D-point-cloud-input-data-processing.ipynb

Error:

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Exception encountered at "In [4]":
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ParamValidationError Traceback (most recent call last)
in
4 region = boto3.session.Session().region_name
5 s3 = boto3.client('s3')
----> 6 bucket_region = s3.head_bucket(Bucket=BUCKET)['ResponseMetadata']['HTTPHeaders']['x-amz-bucket-region']
7 assert bucket_region == region, "Your S3 bucket {} and this notebook need to be in the same region.".format(BUCKET)

/opt/conda/lib/python3.7/site-packages/botocore/client.py

[...]

Invalid bucket name "": Bucket name must match the regex "^[a-zA-Z0-9.\-_]{1,255}$" or be an ARN matching the regex "^arn:(aws).*:(s3|s3-object-lambda):[a-z\-0-9]+:[0-9]{12}:accesspoint[/:][a-zA-Z0-9\-]{1,63}$|^arn:(aws).*:s3-outposts:[a-z\-0-9]+:[0-9]{12}:outpost[/:][a-zA-Z0-9\-]{1,63}[/:]accesspoint[/:][a-zA-Z0-9\-]{1,63}$"

Open the linked notebook and inspect cell In [4], where the S3 bucket region is checked. Reproduce the CI failure and trace the BUCKET value used by s3.head_bucket; done means the notebook no longer passes an empty bucket name and CI completes successfully.

Written by the indexing model from the issue text.