running the Athena example returns errors

[jjstoop]

I'm trying to run the Athena example but unfortunately this grinds to a halt rather quickly. My experience with both Splink and Python are very limited, so I'm a bit lost searching through the discussions, and I couldn't find a somewhat related one.
I copied the example and run the following in VScode

import boto3
boto3_session = boto3.Session(region_name="eu-west-1", profile_name="myprofile")

from splink.backends.athena import AthenaAPI

bucket = "mybucket"
database = "splink"
filepath = "test1"  

aws_filepath = f"s3://{bucket}/{filepath}"

db_api = AthenaAPI(
    boto3_session,
    output_bucket=bucket,
    output_database=database,
    output_filepath=filepath,
)

after this step I get the MFA popup and everything seems to work fine

import splink.comparison_library as cl
from splink import block_on

from splink import Linker, SettingsCreator, splink_datasets

df = splink_datasets.historical_50k

settings = SettingsCreator(
    link_type="dedupe_only",
    blocking_rules_to_generate_predictions=[
        block_on("first_name", "surname"),
        block_on("surname", "dob"),
    ],
    comparisons=[
        cl.ExactMatch("first_name").configure(term_frequency_adjustments=True),
        cl.LevenshteinAtThresholds("surname", [1, 3]),
        cl.LevenshteinAtThresholds("dob", [1, 2]),
        cl.LevenshteinAtThresholds("postcode_fake", [1, 2]),
        cl.ExactMatch("birth_place").configure(term_frequency_adjustments=True),
        cl.ExactMatch("occupation").configure(term_frequency_adjustments=True),
    ],
    retain_intermediate_calculation_columns=True,
)

this works fine as well

from splink.exploratory import profile_columns

profile_columns(df, db_api, column_expressions=["first_name", "substr(surname,1,2)"])

this one however throws an error:

ParamValidationError: Parameter validation failed:
Invalid bucket name "mybucket\test1\r7ycem9x": 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}$"

which to me seems as if the bucketname is concatenated with the database and the filepath somewhere rather than just the bucket itself.

I noticed that there was no Linker created, but trying

linker = Linker(df,settings,db_api)

gives me the exact same error. Am I missing something? thanks in advance