{
  "mode": "offline-synthetic-verification-types",
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    "src/apixly_jev_harness/verify.py": "97d2a178902291094f4e16db08732748d234b8c5ad8dd49a55607c8d195f1ed2"
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  "runner_sha256": "903012a2f02d8f83dcca67cb39ad8d68aa091525db7282e4a91e7d0a355dd317",
  "python_version": "3.14.2",
  "cases": {
    "expected_true_observed_one": {
      "group": "false_completion",
      "expected_match": false
    },
    "expected_false_observed_zero": {
      "group": "false_completion",
      "expected_match": false
    },
    "expected_one_observed_true": {
      "group": "false_completion",
      "expected_match": false
    },
    "nested_list_bool_number": {
      "group": "false_completion",
      "expected_match": false
    },
    "nested_dict_bool_number": {
      "group": "false_completion",
      "expected_match": false
    },
    "nested_tuple_bool_number": {
      "group": "false_completion",
      "expected_match": false
    },
    "dict_key_true_one": {
      "group": "false_completion",
      "expected_match": false
    },
    "dict_key_false_zero": {
      "group": "false_completion",
      "expected_match": false
    },
    "text_observed_list": {
      "group": "false_completion",
      "expected_match": false
    },
    "text_observed_dict": {
      "group": "false_completion",
      "expected_match": false
    },
    "unsupported_expected_value": {
      "group": "false_completion",
      "expected_match": false
    },
    "unsupported_expected_nested": {
      "group": "false_completion",
      "expected_match": false
    },
    "unsupported_expected_key": {
      "group": "false_completion",
      "expected_match": false
    },
    "observed_str_subclass_checked_key": {
      "group": "false_completion",
      "expected_match": false
    },
    "observed_str_subclass_label_key": {
      "group": "false_completion",
      "expected_match": false
    },
    "metaclass_float_spoof_expected": {
      "group": "false_completion",
      "expected_match": false
    },
    "root_text_alias_key": {
      "group": "false_completion",
      "expected_match": false
    },
    "root_controls_alias_key": {
      "group": "false_completion",
      "expected_match": false
    },
    "same_boolean": {
      "group": "compatibility",
      "expected_match": true
    },
    "int_float_numeric": {
      "group": "compatibility",
      "expected_match": true
    },
    "numeric_dictionary_keys": {
      "group": "compatibility",
      "expected_match": true
    },
    "same_list_types": {
      "group": "compatibility",
      "expected_match": true
    },
    "same_tuple_types": {
      "group": "compatibility",
      "expected_match": true
    },
    "observed_null": {
      "group": "compatibility",
      "expected_match": true
    },
    "missing_field": {
      "group": "compatibility",
      "expected_match": false
    },
    "duplicate_label": {
      "group": "compatibility",
      "expected_match": false
    },
    "text_substring": {
      "group": "compatibility",
      "expected_match": true
    },
    "list_tuple_mismatch": {
      "group": "compatibility",
      "expected_match": false
    },
    "custom_verifier_unchanged": {
      "group": "compatibility",
      "expected_match": true
    },
    "unsupported_expected_outer_key": {
      "group": "construction_fix",
      "expected_match": null,
      "construction_error": "ValueError"
    },
    "expected_str_subclass_outer_key": {
      "group": "construction_fix",
      "expected_match": null,
      "construction_error": "ValueError"
    },
    "empty_text_subclass_fake_strip": {
      "group": "construction_fix",
      "expected_match": null,
      "construction_error": "ValueError"
    },
    "continue_after_numeric_known": {
      "group": "continuation_fix",
      "expected_match": false,
      "continuation": true
    },
    "continue_after_numeric_unknown": {
      "group": "continuation_fix",
      "expected_match": false,
      "continuation": true,
      "unknown_usage": true
    },
    "compatible_continuation_unknown": {
      "group": "compatibility",
      "expected_match": false,
      "continuation": true,
      "unknown_usage": true
    }
  },
  "compatibility_parity": true,
  "reproduction": "python benchmarks/verification_types.py --output local-results/verification-types-ab.json",
  "scope": "Thirty-five fixed synthetic verifier fixtures, three paired repeats with alternating arm order. Actual Engine/Task without tools proves eighteen helper false-completion cases become blocked with zero inference/effects; three invalid expected outer-key/text-subclass contracts reject at helper construction without an Engine run or terminal packet. Fixtures cover bool/number distinction, nested list/dict/tuple values, typed dictionary keys, observed text type, unsupported equality/metaclass objects and observed record/root string-subclass alias keys. Valid numeric int/float comparison, same container types, null/missing/duplicates/text substring and caller-owned custom verifier behavior remain compatible. Two formerly false-completed tasks continue to a scripted tool that writes true and then verify; one compatible continuation preserves unknown prior scripted usage in both arms. Private equality detail is represented only by fixed type shapes/digests/call counts; counters retain the complete observed helper/loop sequence rather than claiming all deepcopy/JSON hooks disappear. Native inference and real HTTPTransport are forbidden during loop execution; all fixture helper/magic definitions are fixed local counters with no external calls. Actual model/network/UI calls zero if guards are never hit.",
  "negative_results": "Correctly rejecting a false initial match can require an additional scripted decision/effect, output context and journal work. An initial smoke assertion wrongly required all magic hooks across construction and the entire loop to be zero: two observed string-subclass-key fixtures each retain one other-loop equality call, and the metaclass fixture retains one preparation equality call while helper comparison calls remain zero. The corrected comparison-scoped assertion retains all accumulated counts. Construction rejections deliberately have no Engine terminal and are not presented as blocked/done. The formerly false-done continuation baseline has no call and known zero scripted usage; only the treatment's continued unknown-usage case has an unknown call, which stays unknown. Quality improvement here is mechanical helper type correctness, not AI semantic quality, a real browser/desktop acceptance, global input admission or arbitrary custom verifier correctness. JSON journaling does not restore original tuple/list types or recover dictionary keys already collapsed by Python construction. Helper comparison avoids unsupported equality hooks; trusted callback/deepcopy/serialization definitions remain outside a sandbox and can still execute code. No speed or fee gain is claimed.",
  "cost_conversion": "No tariff or savings assumed. Actual model usage is zero only when both guards stay zero; guard hits record unknown actual usage and fail fixtures. Known/unknown scripted usage is separate from actual usage. Real perf_counter timing includes helper construction/initial check, Task registration, loop admission, optional scripted selection/effect, independent helper verification and private journal flush/fsync; excludes process/import/input-fixture setup and terminal analysis/source hashes. Loop-only frozen monotonic values stabilize request budgets without replacing whole-operation timing. Returned bytes omit local archive paths and count a fixed exception-type projection for constructor-only failures, not a fabricated Engine packet. Scalar context/input sizes are not provider-token counts.",
  "summary": {
    "baseline": {
      "runs": 105,
      "correct": 36,
      "groups": {
        "false_completion": {
          "runs": 54,
          "correct": 0
        },
        "construction_fix": {
          "runs": 9,
          "correct": 0
        },
        "continuation_fix": {
          "runs": 6,
          "correct": 0
        },
        "compatibility": {
          "runs": 36,
          "correct": 36
        }
      },
      "mechanical_false_initial_matches": 69,
      "false_completed_no_tool_rows": 63,
      "custom_eq_calls": 96,
      "metaclass_eq_calls": 3,
      "custom_float_calls": 0,
      "custom_strip_calls": 3,
      "helper_comparison_magic_calls": {
        "custom_eq_calls": 90,
        "metaclass_eq_calls": 0,
        "custom_float_calls": 0,
        "custom_strip_calls": 0
      },
      "helper_construction_rejections": 0,
      "scripted_decisions": 3,
      "effects": 3,
      "unknown_scripted_usage_rows": 3,
      "native_inference_attempts": 0,
      "real_network_attempts": 0,
      "raw_private_marker_exposures": 0,
      "selection_input_bytes": 5661,
      "shared_context_bytes": 930,
      "median_whole_operation_seconds": 0.0010892499994952232,
      "returned_context_bytes": 42297,
      "actual_model_usage": {
        "requests": 0,
        "models": {},
        "input_tokens": 0,
        "output_tokens": 0,
        "usage_complete": true
      }
    },
    "candidate": {
      "runs": 105,
      "correct": 105,
      "groups": {
        "false_completion": {
          "runs": 54,
          "correct": 54
        },
        "construction_fix": {
          "runs": 9,
          "correct": 9
        },
        "continuation_fix": {
          "runs": 6,
          "correct": 6
        },
        "compatibility": {
          "runs": 36,
          "correct": 36
        }
      },
      "mechanical_false_initial_matches": 0,
      "false_completed_no_tool_rows": 0,
      "custom_eq_calls": 6,
      "metaclass_eq_calls": 3,
      "custom_float_calls": 0,
      "custom_strip_calls": 0,
      "helper_comparison_magic_calls": {
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        "metaclass_eq_calls": 0,
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        "custom_strip_calls": 0
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      "scripted_decisions": 9,
      "effects": 9,
      "unknown_scripted_usage_rows": 6,
      "native_inference_attempts": 0,
      "real_network_attempts": 0,
      "raw_private_marker_exposures": 0,
      "selection_input_bytes": 16959,
      "shared_context_bytes": 2766,
      "median_whole_operation_seconds": 0.0010783750039990991,
      "returned_context_bytes": 42138,
      "actual_model_usage": {
        "requests": 0,
        "models": {},
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        "output_tokens": 0,
        "usage_complete": true
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  "rows": [
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      "case": "expected_true_observed_one",
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      "runtime_loaded_from_requested_source": true,
      "fixture": {
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                {
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                      {
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