AnthropicVerified interview challenge
Build a resumable weighted data batcher
Produce weighted data batches whose sequence stays reproducible after saving and resuming.
Unlock with Full AccessThe challenge
Start with batch sizes that divide cleanly into the required quotas. Extend the same batcher with checkpoint and resume, then handle sizes that do not divide evenly. A final written part asks how production edge cases affect the implementation, keeping the discussion grounded in the code you built.
What you'll practise
Weighted allocation
Preserve the intended mix when quotas cannot all be exact integers in one batch.
Reproducible state
Capture enough progress to resume the same sequence and explain its operating limits.
Current partFurther parts unlock as you progress
solution.pyPython 3.13
# Build on your implementation
# Run checks for the current part
# Full starter code includedCurrent-part checks
Run your code to see results.
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