gemma-e2b-rlcd / tests /test_workloads.py
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Publish Gemma E2B RLCD with multimodal checkpoint and parallel scoring
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from scripts.benchmark_workloads import agreement, quality, summarize
def test_workload_quality_counts_missing_nested_answers_as_failures():
expected = {"facts": {"cat": True, "dog": False}, "category": ["titanium_a", "titanium_b"]}
actual = {"facts": {"cat": True}, "category": "titanium_b"}
assert quality(actual, expected) == {
"correct": 2,
"scored": 3,
"checks": {"facts.cat": True, "facts.dog": False, "category": True},
}
assert quality(None, expected)["correct"] == 0
assert agreement(actual, None) is None
assert agreement({"a": True}, {"a": True, "b": False}) == {"a": True, "b": False}
def test_benchmark_preserves_failed_runs_and_does_not_award_them_a_speedup():
samples = [
{
"method": "batched",
"seconds": 1,
"valid": True,
"values": {"a": True},
"quality": {"correct": 1, "scored": 1},
},
{
"method": "batched",
"seconds": 3,
"valid": True,
"values": {"a": True},
"quality": {"correct": 1, "scored": 1},
},
{
"method": "normal",
"seconds": 4,
"valid": True,
"values": {"a": True},
"quality": {"correct": 1, "scored": 1},
},
{
"method": "normal",
"seconds": 8,
"valid": False,
"values": None,
"quality": {"correct": 0, "scored": 1},
},
]
summary = summarize(samples, ["batched", "normal"])
assert summary["batched"]["median_seconds"] == 2
assert summary["normal"]["median_seconds"] == 6
assert summary["normal"]["valid_runs"] == 1
assert summary["normal"]["attempted_runs"] == 2
assert summary["normal"]["correct"] == 1
assert summary["normal"]["scored"] == 2
assert summary["normal_over_batched"] is None