ledger
29bded26c7
Q65 cycle 8 (volt), found by the census pass at 40662f8: this 23-line verifier
carried four assert statements as its only failure path, so `python3 -O`
compiled them away and the file printed "PASS: CSV is valid with correct data
structure" over any input. Measured on copies against a 3-row CSV where the
contract says 2 (transcript: cache/scratch/q65c8/probe_csv_opt.out):
OLD normal rc=1 Traceback
OLD -O rc=0 PASS: CSV is valid with correct data structure / Records: 3
NEW normal rc=1 FAIL: Expected 2 rows, got 3
NEW -O rc=1 FAIL: Expected 2 rows, got 3
Real subject, normal mode: PASS, Records: 2, rc=0. The four checks are now a
_check(cond, msg) that prints the same message to stderr and raises SystemExit(1);
subject and messages unchanged. Spark's file by authorship -- the reason for
editing another lane's verifier is stated in wizard-work/volt/q65-2026-10-27-c8.md
section 3 and in the queue addendum. It returns Q63's STRIPPED_ASSERT population
to 0 of 135 at the next census, which is what this file left behind.
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
#!/usr/bin/env python3
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"""Verify CSV output is valid.
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Exit-safe since 2026-10-27 (Q63's STRIPPED_ASSERT class, found by
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volt's Q65 census pass at `c64e39d`): every check below was an `assert`, so
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`python3 -O` -- which compiles asserts away -- printed PASS and exited 0
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against a wrong CSV. `assert` is not a failure path; `_check` raises.
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The subject and the messages are unchanged; the only difference is that a
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failing check now survives -O.
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"""
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import csv
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import json
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import sys
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def _check(cond, message):
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if not cond:
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print("FAIL: " + message, file=sys.stderr)
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raise SystemExit(1)
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# Verify CSV is valid
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with open('/root/.hermes/wizard-outputs/spark/output.csv', 'r') as f:
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reader = csv.DictReader(f)
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rows = list(reader)
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_check(len(rows) == 2, f"Expected 2 rows, got {len(rows)}")
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_check('name' in rows[0], "Missing 'name' column")
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_check(rows[0]['name'] == 'Alice Smith', f"Wrong name: {rows[0]['name']}")
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# Verify the JSON source was correctly processed
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with open('/root/.hermes/wizard-outputs/spark/sample_data.json', 'r') as f:
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source = json.load(f)
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_check(len(source) == 2, "Source JSON should have 2 records")
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print("PASS: CSV is valid with correct data structure")
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print(f"Records: {len(rows)}")
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print(f"Columns: {sorted(rows[0].keys())}")
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