Datasets:
[agent:cc] benchmarks: allow null tok_s_prefill/power_w for concurrency>1 rows
Browse files- validate.py +6 -0
validate.py
CHANGED
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@@ -114,8 +114,14 @@ def row_errors(row: dict[str, Any], line_no: int) -> list[str]:
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if value not in allowed:
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errors.append(f"line {line_no}: {field}={value!r} not in {sorted(allowed)}")
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for field in NUMERIC:
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value = row.get(field)
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if not isinstance(value, (int, float)) or isinstance(value, bool):
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errors.append(f"line {line_no}: {field} must be numeric")
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elif value < 0:
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if value not in allowed:
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errors.append(f"line {line_no}: {field}={value!r} not in {sorted(allowed)}")
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# tok_s_prefill / power_w may be null (JSON null) on concurrency>1 rows where they are
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# NOT separately measured - the row's headline is tok_s_decode (the aggregate). A null is
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# the honest sentinel there; an arbitrary borrowed single-stream value would be misleading.
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nullable_numeric = {"tok_s_prefill", "power_w"}
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for field in NUMERIC:
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value = row.get(field)
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if value is None and field in nullable_numeric:
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continue
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if not isinstance(value, (int, float)) or isinstance(value, bool):
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errors.append(f"line {line_no}: {field} must be numeric")
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elif value < 0:
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