A solver-agnostic harness that grades coding-agent task success with an executable test oracle (tests fail before, pass after; pristine test files restored to prevent gaming) and pairs it with measured energy (jouleclaw IOReport, idle-subtracted, sub-window readings flagged unreliable), vendor-billed dollars, and token-estimated cloud energy. Solvers: reference, noop, claude, gemini, and cascade (the real joule_core engine via joule-coded). --passes shows L0 cache amortization. Headline (RESULTS.md): on a realistic operation mix, the cascade and frontier claude both resolve 100%, but the cascade costs ~10x less per task -- mechanical ops close locally at L1 for free, novel ops escalate to the same model once, and repeats are free from the L0 cache. Co-Authored-By: Claude Opus 4.8 (1M context) <[email protected]>
17 lines
246 B
Python
17 lines
246 B
Python
from fizzbuzz import fizzbuzz
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def test_fizzbuzz():
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assert fizzbuzz(15) == "FizzBuzz"
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def test_fizz():
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assert fizzbuzz(3) == "Fizz"
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def test_buzz():
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assert fizzbuzz(5) == "Buzz"
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def test_number():
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assert fizzbuzz(7) == "7"
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