{
 "metadata": {
  "date": "2026-09-28 19:45:34",
  "suite": "morphic_benchmark_suite v2",
  "compiler_version": "2026-09-28-v634-none-dominance-intkey",
  "methodology": "One fresh OS process per benchmark. Warm-run = median of 10 runs after 3 warmup runs; first-run (cold) and compile time captured separately. Pyvorin runs through the unified PyvorinCompiler router (morphic kernel planner first, native LLVM second, honest CPython fallback with the reason recorded). Correctness = result matches the CPython result (exact or 1e-6 tolerance). Every workload is fully self-contained (deterministic data generated inside the timed function), so generation cost is included for all competitors identically; Pyvorin compiles the entire function (generation + compute) to native code.",
  "cpu": {
   "python": "3.12.3",
   "platform": "Linux-6.8.0-137-generic-x86_64-with-glibc2.39",
   "cpu": "AMD EPYC-Milan Processor",
   "cores": 12
  },
  "completed": 30,
  "total": 30
 },
 "benchmarks": [
  {
   "benchmark": "etl_csv_parse_conditional_sum",
   "category": "ETL/Data Processing",
   "expected": 334099513,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 103.18692680448294,
     "min_ms": 98.11510099098086,
     "p95_ms": 107.92196821421385,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 81.67022373527288,
     "min_ms": 79.38563171774149,
     "p95_ms": 84.99107137322426,
     "first_run_ms": 87.98765297979116,
     "compile_time_ms": 1071.3618230074644,
     "correct": true,
     "backend": "pyvorin-morphic",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null,
     "morphic_recognition": {
      "enabled": true,
      "path": "etl_ops_lowerer",
      "total_ms": 3.986263182014227,
      "matched_recognizer": "recognize_csv_scan_filter_aggregate",
      "family_tag": "etl_op:csv_scan_filter_aggregate",
      "operation_type": "aggregation",
      "breakdown_ms": {
       "canonicalize": 1.4749690890312195,
       "fuse": 0.929537694901228,
       "recognize": 1.3417350128293037,
       "lower": 0.1440080814063549
      },
      "proven_types": {
       "result": "int8",
       "args": [
        "int8",
        "int8",
        "int64"
       ],
       "kernel_family": "csv"
      },
      "guard_tags": []
     }
    },
    "Numba": {
     "error": "Failed in nopython mode pipeline (step: nopython frontend)\n\u001b[1m\u001b[1m\u001b[1mNo implementation of function Function(<built-in function mod>) found for signature:\n \n >>> mod(Literal[str](ROW%d,item%d,%.1f,%s), Tuple(int64, int64, float64, unicode_type))\n \nThere are 6 candidate implementations:\n\u001b[1m - Of wh",
     "correct": false
    }
   },
   "wall_time_sec": 4.9
  },
  {
   "benchmark": "etl_filter_map_numeric",
   "category": "ETL/Data Processing",
   "expected": 15470738,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 118.02625609561801,
     "min_ms": 112.31184704229236,
     "p95_ms": 139.4783891737461,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 94.07159965485334,
     "min_ms": 79.2290773242712,
     "p95_ms": 127.25694105029106,
     "first_run_ms": 163.3365829475224,
     "compile_time_ms": 1553.1449289992452,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 1.6300017014145851,
     "min_ms": 1.611317042261362,
     "p95_ms": 1.9295038655400276,
     "first_run_ms": null,
     "compile_time_ms": 235.64730491489172,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 5.9
  },
  {
   "benchmark": "etl_hash_join_lookup",
   "category": "ETL/Data Processing",
   "expected": 1571924531,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 8.691704366356134,
     "min_ms": 8.590173907577991,
     "p95_ms": 9.811232797801495,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 6.283292081207037,
     "min_ms": 6.184556987136602,
     "p95_ms": 6.409055087715387,
     "first_run_ms": 15.592255163937807,
     "compile_time_ms": 795.722417999059,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 0.9736199863255024,
     "min_ms": 0.9524691849946976,
     "p95_ms": 1.0274332016706467,
     "first_run_ms": null,
     "compile_time_ms": 671.0866219364107,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 2.7
  },
  {
   "benchmark": "etl_dedup_preserve_order",
   "category": "ETL/Data Processing",
   "expected": 1249352018,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 51.97502393275499,
     "min_ms": 48.347203992307186,
     "p95_ms": 54.6314362436533,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 13.102340046316385,
     "min_ms": 12.832669075578451,
     "p95_ms": 14.960716012865305,
     "first_run_ms": 13.753885868936777,
     "compile_time_ms": 1192.214242182672,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 4.5218393206596375,
     "min_ms": 4.469176754355431,
     "p95_ms": 4.733910318464041,
     "first_run_ms": null,
     "compile_time_ms": 722.6333883590996,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 3.9
  },
  {
   "benchmark": "etl_group_aggregate",
   "category": "ETL/Data Processing",
   "expected": 20000556,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 39.6767002530396,
     "min_ms": 39.438121020793915,
     "p95_ms": 39.87345891073346,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 0.21616695448756218,
     "min_ms": 0.21462514996528625,
     "p95_ms": 0.2338821068406105,
     "first_run_ms": 0.5728993564844131,
     "compile_time_ms": 974.2741798982024,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 0.2150670625269413,
     "min_ms": 0.21405424922704697,
     "p95_ms": 0.22360682487487793,
     "first_run_ms": null,
     "compile_time_ms": 264.12332989275455,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 2.8
  },
  {
   "benchmark": "etl_pipeline_chain",
   "category": "ETL/Data Processing",
   "expected": 7375461,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 63.97100072354078,
     "min_ms": 61.43101816996932,
     "p95_ms": 65.37134805694222,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 13.8880112208426,
     "min_ms": 13.640350196510553,
     "p95_ms": 18.778777681291103,
     "first_run_ms": 13.66912992671132,
     "compile_time_ms": 1241.4584821090102,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 2.9995450749993324,
     "min_ms": 2.9415045864880085,
     "p95_ms": 3.322458826005459,
     "first_run_ms": null,
     "compile_time_ms": 281.6939759068191,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 3.5
  },
  {
   "benchmark": "ml_matmul_square",
   "category": "Machine Learning",
   "expected": 5253383,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 22.98817690461874,
     "min_ms": 22.06694893538952,
     "p95_ms": 23.662304040044546,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 5.054981913417578,
     "min_ms": 4.998975899070501,
     "p95_ms": 5.544725805521011,
     "first_run_ms": 5.480538122355938,
     "compile_time_ms": 1066.0999338142574,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 0.7185777649283409,
     "min_ms": 0.6993520073592663,
     "p95_ms": 0.7459959015250206,
     "first_run_ms": null,
     "compile_time_ms": 313.06858686730266,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 2.7
  },
  {
   "benchmark": "ml_kmeans_iteration",
   "category": "Machine Learning",
   "expected": 48984,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 35.441404208540916,
     "min_ms": 34.024185966700315,
     "p95_ms": 37.63693431392312,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 9.654407855123281,
     "min_ms": 8.710610214620829,
     "p95_ms": 15.719889663159847,
     "first_run_ms": 18.541710916906595,
     "compile_time_ms": 1842.7862678654492,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 0.49339886754751205,
     "min_ms": 0.45828986912965775,
     "p95_ms": 0.5767219699919224,
     "first_run_ms": null,
     "compile_time_ms": 401.22370095923543,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 3.9
  },
  {
   "benchmark": "ml_linear_regression_grad",
   "category": "Machine Learning",
   "expected": -69437125,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 30.427879188209772,
     "min_ms": 26.372230146080256,
     "p95_ms": 32.24059194326401,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 11.093618348240852,
     "min_ms": 10.683022905141115,
     "p95_ms": 13.233921024948359,
     "first_run_ms": 23.62058497965336,
     "compile_time_ms": 907.5994328595698,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 0.26220083236694336,
     "min_ms": 0.2606380730867386,
     "p95_ms": 0.27297623455524445,
     "first_run_ms": null,
     "compile_time_ms": 242.3165300861001,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 2.7
  },
  {
   "benchmark": "ml_cosine_batch",
   "category": "Machine Learning",
   "expected": 866600,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 47.62757383286953,
     "min_ms": 44.195313937962055,
     "p95_ms": 64.46956843137741,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 3.4460797905921936,
     "min_ms": 3.383191768079996,
     "p95_ms": 5.49031188711524,
     "first_run_ms": 5.5335210636258125,
     "compile_time_ms": 1300.1461829990149,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 1.4237179420888424,
     "min_ms": 1.3758228160440922,
     "p95_ms": 1.4888271689414978,
     "first_run_ms": null,
     "compile_time_ms": 339.34989385306835,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 3.4
  },
  {
   "benchmark": "ml_softmax_batch",
   "category": "Machine Learning",
   "expected": 6658245132,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 8.953575044870377,
     "min_ms": 8.772405330091715,
     "p95_ms": 11.20540127158165,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 2.6021390222012997,
     "min_ms": 2.587568946182728,
     "p95_ms": 2.6597469113767147,
     "first_run_ms": 5.442915018647909,
     "compile_time_ms": 595.8805540576577,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "error": "Use of unsupported opcode (IMPORT_NAME) found. Raised from <string> (3)",
     "correct": false
    }
   },
   "wall_time_sec": 1.8
  },
  {
   "benchmark": "ml_pairwise_euclidean",
   "category": "Machine Learning",
   "expected": 573997,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 27.754993177950382,
     "min_ms": 27.305344119668007,
     "p95_ms": 28.66256982088089,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 7.0350756868720055,
     "min_ms": 6.952171213924885,
     "p95_ms": 7.2329482063651085,
     "first_run_ms": 7.565225940197706,
     "compile_time_ms": 1188.9996291138232,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 0.4196777008473873,
     "min_ms": 0.41434913873672485,
     "p95_ms": 0.4439498297870159,
     "first_run_ms": null,
     "compile_time_ms": 278.68355670943856,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 2.8
  },
  {
   "benchmark": "ds_summary_stats_1m",
   "category": "Data Science",
   "expected": 3335196571,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 141.90085418522358,
     "min_ms": 135.55871974676847,
     "p95_ms": 148.60780909657478,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 12.926960363984108,
     "min_ms": 7.887098006904125,
     "p95_ms": 13.492467813193798,
     "first_run_ms": 17.68288016319275,
     "compile_time_ms": 1756.855552084744,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 1.7546433955430984,
     "min_ms": 1.719605177640915,
     "p95_ms": 1.8037711270153522,
     "first_run_ms": null,
     "compile_time_ms": 249.5337869040668,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 5.2
  },
  {
   "benchmark": "ds_rolling_mean_window",
   "category": "Data Science",
   "expected": 43742892870,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 42.960555758327246,
     "min_ms": 39.0565968118608,
     "p95_ms": 69.06600994989276,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 1.3767443597316742,
     "min_ms": 1.3541518710553646,
     "p95_ms": 1.6239532269537449,
     "first_run_ms": 3.1316368840634823,
     "compile_time_ms": 1079.8228769563138,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 0.5242908373475075,
     "min_ms": 0.5190237425267696,
     "p95_ms": 0.6359238177537918,
     "first_run_ms": null,
     "compile_time_ms": 228.8104142062366,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 2.9
  },
  {
   "benchmark": "ds_histogram_bins",
   "category": "Data Science",
   "expected": 32026211,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 147.50367915257812,
     "min_ms": 143.08461220934987,
     "p95_ms": 151.4582890085876,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 13.613153249025345,
     "min_ms": 11.198410764336586,
     "p95_ms": 15.789897181093693,
     "first_run_ms": 16.640506219118834,
     "compile_time_ms": 1312.1225321665406,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 0.5036122165620327,
     "min_ms": 0.49787480384111404,
     "p95_ms": 0.506135169416666,
     "first_run_ms": null,
     "compile_time_ms": 278.81809417158365,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 4.9
  },
  {
   "benchmark": "ds_percentiles",
   "category": "Data Science",
   "expected": 2389847,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 164.57976587116718,
     "min_ms": 136.10659400001168,
     "p95_ms": 200.64668077975512,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 56.136397644877434,
     "min_ms": 53.17677557468414,
     "p95_ms": 60.14648312702775,
     "first_run_ms": 57.745881378650665,
     "compile_time_ms": 1674.7840219177306,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 40.31458729878068,
     "min_ms": 39.73768325522542,
     "p95_ms": 42.42207622155547,
     "first_run_ms": null,
     "compile_time_ms": 2107.4745361693203,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 8.3
  },
  {
   "benchmark": "ds_rolling_correlation",
   "category": "Data Science",
   "expected": 53389066,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 517.4389528110623,
     "min_ms": 501.7460095696151,
     "p95_ms": 548.0063948780298,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 8.44395300373435,
     "min_ms": 8.22759559378028,
     "p95_ms": 8.66992399096489,
     "first_run_ms": 9.933913126587868,
     "compile_time_ms": 3272.1118787303567,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 5.557653959840536,
     "min_ms": 5.405585281550884,
     "p95_ms": 6.475756876170635,
     "first_run_ms": null,
     "compile_time_ms": 329.70144925639033,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 12.1
  },
  {
   "benchmark": "ds_twolevel_groupby",
   "category": "Data Science",
   "expected": 24960772,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 118.94469195976853,
     "min_ms": 113.5711707174778,
     "p95_ms": 157.92584419250488,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 74.6739530004561,
     "min_ms": 68.43595393002033,
     "p95_ms": 90.74185229837894,
     "first_run_ms": 104.48512388393283,
     "compile_time_ms": 1633.849591948092,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 9.553608950227499,
     "min_ms": 9.450007230043411,
     "p95_ms": 9.69919003546238,
     "first_run_ms": null,
     "compile_time_ms": 736.0558221116662,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 6.4
  },
  {
   "benchmark": "web_log_tokenize_count",
   "category": "Web Services",
   "expected": 21112500,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 41.58616717904806,
     "min_ms": 40.11762700974941,
     "p95_ms": 43.42066869139671,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 40.27546290308237,
     "min_ms": 38.274812046438456,
     "p95_ms": 42.999539989978075,
     "first_run_ms": 40.94962915405631,
     "compile_time_ms": 1350.4481445997953,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 41.29736823961139,
     "min_ms": 40.38860788568854,
     "p95_ms": 42.49502578750253,
     "first_run_ms": null,
     "compile_time_ms": 2500.8005080744624,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 6.7
  },
  {
   "benchmark": "web_query_param_count",
   "category": "Web Services",
   "expected": 109715130,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 177.3059112019837,
     "min_ms": 173.49374806508422,
     "p95_ms": 230.99778592586517,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 57.460809126496315,
     "min_ms": 42.35952999442816,
     "p95_ms": 78.11681926250458,
     "first_run_ms": 74.40928975120187,
     "compile_time_ms": 1600.541259162128,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "error": "Failed in nopython mode pipeline (step: nopython frontend)\n\u001b[1m\u001b[1m\u001b[1mNo implementation of function Function(<built-in function mod>) found for signature:\n \n >>> mod(Literal[str](page=%d&size=%d&id=%d&sort=asc), UniTuple(int64 x 3))\n \nThere are 6 candidate implementations:\n\u001b[1m - Of which 4 did not",
     "correct": false
    }
   },
   "wall_time_sec": 6.2
  },
  {
   "benchmark": "web_json_record_build",
   "category": "Web Services",
   "expected": 4078531,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 100.09581781923771,
     "min_ms": 95.84700502455235,
     "p95_ms": 108.12325915321708,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 51.82007094845176,
     "min_ms": 37.14729007333517,
     "p95_ms": 60.40663179010153,
     "first_run_ms": 52.271431777626276,
     "compile_time_ms": 561.4373320713639,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "error": "Use of unsupported opcode (IMPORT_NAME) found. Raised from <string> (3)",
     "correct": false
    }
   },
   "wall_time_sec": 3.8
  },
  {
   "benchmark": "web_ip_hit_counts",
   "category": "Web Services",
   "expected": 574400,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 30.788515228778124,
     "min_ms": 30.359295196831226,
     "p95_ms": 31.883129850029945,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 4.760878160595894,
     "min_ms": 4.589481744915247,
     "p95_ms": 6.862008944153786,
     "first_run_ms": 5.253995768725872,
     "compile_time_ms": 1049.9874288216233,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 0.27165329083800316,
     "min_ms": 0.2685701474547386,
     "p95_ms": 0.2864031121134758,
     "first_run_ms": null,
     "compile_time_ms": 249.37422201037407,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 2.7
  },
  {
   "benchmark": "web_slugify_titles",
   "category": "Web Services",
   "expected": 12573636,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 161.56801488250494,
     "min_ms": 155.20511381328106,
     "p95_ms": 220.93563806265593,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 121.51413736864924,
     "min_ms": 114.90580812096596,
     "p95_ms": 125.644417013973,
     "first_run_ms": 138.86953610926867,
     "compile_time_ms": 1801.2952953577042,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "error": "Failed in nopython mode pipeline (step: nopython frontend)\n\u001b[1m\u001b[1m\u001b[1mNo implementation of function Function(<built-in function mod>) found for signature:\n \n >>> mod(Literal[str](%s %s: %s (Part %d)!), Tuple(unicode_type, unicode_type, unicode_type, int64))\n \nThere are 6 candidate implementations:\n",
     "correct": false
    }
   },
   "wall_time_sec": 9.4
  },
  {
   "benchmark": "web_header_parse_filter",
   "category": "Web Services",
   "expected": 1171328,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 56.95586511865258,
     "min_ms": 54.70264609903097,
     "p95_ms": 58.477177284657955,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 41.793761774897575,
     "min_ms": 29.82128504663706,
     "p95_ms": 66.3582170382142,
     "first_run_ms": 56.50885123759508,
     "compile_time_ms": 1324.6794752776623,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "error": "Failed in nopython mode pipeline (step: nopython frontend)\n\u001b[1m\u001b[1m\u001b[1mNo implementation of function Function(<built-in function mod>) found for signature:\n \n >>> mod(Literal[str](%s: value%d;extra=%d), Tuple(unicode_type, int64, int64))\n \nThere are 6 candidate implementations:\n\u001b[1m - Of which 4 did",
     "correct": false
    }
   },
   "wall_time_sec": 3.8
  },
  {
   "benchmark": "agg_int_sum_1m",
   "category": "Aggregations",
   "expected": 499999500000,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 38.26402826234698,
     "min_ms": 37.104953080415726,
     "p95_ms": 40.1133201085031,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 7.591250818222761,
     "min_ms": 7.317283656448126,
     "p95_ms": 7.777126040309668,
     "first_run_ms": 12.998638208955526,
     "compile_time_ms": 1102.3264778777957,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 0.6556217558681965,
     "min_ms": 0.6354236975312233,
     "p95_ms": 0.7442841306328773,
     "first_run_ms": null,
     "compile_time_ms": 216.46729204803705,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 2.9
  },
  {
   "benchmark": "agg_hash_mix_sum_1m",
   "category": "Aggregations",
   "expected": 544500034052684,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 210.38704086095095,
     "min_ms": 203.34784826263785,
     "p95_ms": 253.78679111599922,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 0.4563783295452595,
     "min_ms": 0.44320011511445045,
     "p95_ms": 0.49392879009246826,
     "first_run_ms": 0.8111251518130302,
     "compile_time_ms": 1410.4352951981127,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 0.18955068662762642,
     "min_ms": 0.18720794469118118,
     "p95_ms": 0.1992238685488701,
     "first_run_ms": null,
     "compile_time_ms": 167.88064781576395,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 5.5
  },
  {
   "benchmark": "agg_weighted_mean_500k",
   "category": "Aggregations",
   "expected": 75477849,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 127.90684914216399,
     "min_ms": 124.05603379011154,
     "p95_ms": 139.5356240682304,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 96.0854827426374,
     "min_ms": 87.25025318562984,
     "p95_ms": 152.12865406647325,
     "first_run_ms": 159.19085778295994,
     "compile_time_ms": 1709.7719660960138,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 1.3916143216192722,
     "min_ms": 1.360842026770115,
     "p95_ms": 1.4013680629432201,
     "first_run_ms": null,
     "compile_time_ms": 235.75383983552456,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 6.3
  },
  {
   "benchmark": "agg_multireduce_single_pass",
   "category": "Aggregations",
   "expected": -8427732,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 143.15287861973047,
     "min_ms": 140.96807409077883,
     "p95_ms": 164.7141738794744,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 10.72779530659318,
     "min_ms": 10.483178310096264,
     "p95_ms": 10.797240771353245,
     "first_run_ms": 19.573370926082134,
     "compile_time_ms": 1363.912824075669,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 1.23239541426301,
     "min_ms": 1.1703697964549065,
     "p95_ms": 1.3045449741184711,
     "first_run_ms": null,
     "compile_time_ms": 244.15938975289464,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 4.8
  },
  {
   "benchmark": "agg_conditional_sum_1m",
   "category": "Aggregations",
   "expected": 39989743450,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 124.02988830581307,
     "min_ms": 118.32653312012553,
     "p95_ms": 141.8549637310207,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 8.751307148486376,
     "min_ms": 8.379264269024134,
     "p95_ms": 12.64717523008585,
     "first_run_ms": 18.2958641089499,
     "compile_time_ms": 1253.3906549215317,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 2.6672189123928547,
     "min_ms": 2.641142811626196,
     "p95_ms": 2.7236351743340492,
     "first_run_ms": null,
     "compile_time_ms": 172.68546763807535,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 4.4
  },
  {
   "benchmark": "agg_nested_group_total",
   "category": "Aggregations",
   "expected": 508936584,
   "compiler_version": "2026-09-28-v634-none-dominance-intkey",
   "competitors": {
    "CPython": {
     "median_ms": 94.24327034503222,
     "min_ms": 90.3336931951344,
     "p95_ms": 102.6137019507587,
     "first_run_ms": null,
     "correct": true,
     "backend": "cpython_interpreter"
    },
    "Pyvorin": {
     "median_ms": 71.0550881922245,
     "min_ms": 63.60612204298377,
     "p95_ms": 84.7999807447195,
     "first_run_ms": 115.46115204691887,
     "compile_time_ms": 1484.9125458858907,
     "correct": true,
     "backend": "pyvorin-native-llvm",
     "native": true,
     "fallback_used": false,
     "fallback_reason": null
    },
    "Numba": {
     "median_ms": 1.6062390059232712,
     "min_ms": 1.5605161897838116,
     "p95_ms": 1.622381154447794,
     "first_run_ms": null,
     "compile_time_ms": 290.3501717373729,
     "correct": true,
     "backend": "numba_njit"
    }
   },
   "wall_time_sec": 5.1
  }
 ]
}