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claim_done
python_execute
manage_context
handle_overlong_tool_outputs

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Instruction

The A/B test for our new homepage has concluded, and the raw clickstream data has been stored in the ab_testing dataset in BigQuery. Analyze the data and fill the record.csv, determine which version (‘A’ or ‘B’) has the highest overall conversion rate, i.e., the overall conversion rate is defined as the arithmetic mean of the per-scenario conversion rates. If version B outperforms, immediately create a new Cloud Storage bucket whose name is prefixed with promo-assets-for-b for the full promotion, and you do not need to write any log entry in this process. If version A wins or the results are a tie, no bucket creation is required, but a log entry with the message {'status': 'AB_Test_Concluded', 'winner': 'A', 'action': 'No_Change'} must be written to the existing log bucket whose name is prefixed with abtesting_logging. During the entire process, there is no need to consider any log entries in the log bucket that existed before the task was executed.

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Initial State

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Local Workspace

workspace/ └── record.csv

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BigQuery

You can view the raw data of the ab_testing dataset here.