ambv/compare.txt Secret

## compare.txt
intel311-best.json
==================

Performance version: 1.0.8
Report on Linux-4.15.0-212-generic-x86_64-with-glibc2.27
Number of logical CPUs: 4
Start date: 2023-06-04 08:26:52.589685
End date: 2023-06-04 15:26:16.155938

nogil312-best.json
==================

Performance version: 1.0.8
Report on Linux-4.15.0-212-generic-x86_64-with-glibc2.27
Number of logical CPUs: 4
Start date: 2023-06-03 18:08:33.058698
End date: 2023-06-04 13:30:20.704255

+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| Benchmark                     | intel311-best.json | nogil312-best.json | Change       | Significance            |
+===============================+====================+====================+==============+=========================+
| 2to3                          | 253 ms             | 286 ms             | 1.13x slower | Significant (t=-54.23)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| async_generators              | 290 ms             | 298 ms             | 1.03x slower | Significant (t=-16.42)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| async_tree_cpu_io_mixed       | 839 ms             | 533 ms             | 1.57x faster | Significant (t=223.80)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| async_tree_eager              | 620 ms             | 296 ms             | 2.09x faster | Significant (t=177.26)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| async_tree_eager_cpu_io_mixed | 848 ms             | 530 ms             | 1.60x faster | Significant (t=218.18)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| async_tree_eager_io           | 1.46 sec           | 582 ms             | 2.51x faster | Significant (t=165.89)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| async_tree_eager_memoization  | 772 ms             | 374 ms             | 2.06x faster | Significant (t=140.73)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| async_tree_io                 | 1.46 sec           | 583 ms             | 2.51x faster | Significant (t=177.53)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| async_tree_memoization        | 765 ms             | 375 ms             | 2.04x faster | Significant (t=119.79)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| async_tree_none               | 609 ms             | 297 ms             | 2.05x faster | Significant (t=81.97)   |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| asyncio_tcp                   | 1.05 sec           | 660 ms             | 1.59x faster | Significant (t=54.58)   |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| asyncio_tcp_ssl               | 3.52 sec           | 2.20 sec           | 1.60x faster | Significant (t=431.30)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| bench_mp_pool                 | 12.8 ms            | 7.97 ms            | 1.61x faster | Significant (t=26.48)   |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| bench_thread_pool             | 1.32 ms            | 1.87 ms            | 1.42x slower | Significant (t=-103.80) |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| chameleon                     | 6.12 ms            | 7.36 ms            | 1.20x slower | Significant (t=-82.69)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| chaos                         | 63.7 ms            | 69.4 ms            | 1.09x slower | Significant (t=-38.03)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| comprehensions                | 21.0 us            | 26.3 us            | 1.25x slower | Significant (t=-123.51) |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| coroutines                    | 23.3 ms            | 22.7 ms            | 1.03x faster | Significant (t=15.15)   |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| coverage                      | 93.0 ms            | 96.1 ms            | 1.03x slower | Significant (t=-13.94)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| create_gc_cycles              | 1.16 ms            | 1.28 ms            | 1.10x slower | Significant (t=-39.16)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| crypto_pyaes                  | 73.2 ms            | 80.0 ms            | 1.09x slower | Significant (t=-39.45)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| deepcopy                      | 327 us             | 380 us             | 1.16x slower | Significant (t=-76.99)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| deepcopy_memo                 | 34.1 us            | 40.7 us            | 1.19x slower | Significant (t=-92.00)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| deepcopy_reduce               | 2.80 us            | 3.31 us            | 1.18x slower | Significant (t=-75.37)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| deltablue                     | 3.62 ms            | 3.61 ms            | 1.00x faster | Not significant         |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| django_template               | 33.1 ms            | 38.8 ms            | 1.17x slower | Significant (t=-76.51)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| docutils                      | 2.67 sec           | 2.95 sec           | 1.10x slower | Significant (t=-31.30)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| dulwich_log                   | 76.0 ms            | 80.8 ms            | 1.06x slower | Significant (t=-21.02)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| fannkuch                      | 351 ms             | 367 ms             | 1.05x slower | Significant (t=-39.43)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| float                         | 75.1 ms            | 66.3 ms            | 1.13x faster | Significant (t=42.60)   |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| gc_traversal                  | 3.34 ms            | 3.16 ms            | 1.06x faster | Significant (t=14.21)   |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| generators                    | 44.2 ms            | 53.0 ms            | 1.20x slower | Significant (t=-69.48)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| genshi_text                   | 21.7 ms            | 23.9 ms            | 1.10x slower | Significant (t=-40.22)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| genshi_xml                    | 50.3 ms            | 50.6 ms            | 1.01x slower | Not significant         |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| go                            | 133 ms             | 142 ms             | 1.07x slower | Significant (t=-21.69)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| hexiom                        | 6.05 ms            | 6.37 ms            | 1.05x slower | Significant (t=-26.29)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| html5lib                      | 62.6 ms            | 66.3 ms            | 1.06x slower | Significant (t=-7.64)   |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| json_dumps                    | 11.9 ms            | 10.5 ms            | 1.14x faster | Significant (t=61.47)   |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| json_loads                    | 24.6 us            | 26.7 us            | 1.08x slower | Significant (t=-38.99)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| logging_format                | 6.97 us            | 7.86 us            | 1.13x slower | Significant (t=-38.32)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| logging_silent                | 92.1 ns            | 104 ns             | 1.12x slower | Significant (t=-68.88)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| logging_simple                | 6.21 us            | 6.98 us            | 1.12x slower | Significant (t=-38.69)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| mako                          | 10.1 ms            | 13.5 ms            | 1.33x slower | Significant (t=-110.14) |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| mdp                           | 2.56 sec           | 2.73 sec           | 1.06x slower | Significant (t=-40.98)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| meteor_contest                | 100.0 ms           | 112 ms             | 1.12x slower | Significant (t=-68.46)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| nbody                         | 87.5 ms            | 107 ms             | 1.22x slower | Significant (t=-111.66) |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| nqueens                       | 78.2 ms            | 83.2 ms            | 1.06x slower | Significant (t=-28.35)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| pathlib                       | 19.1 ms            | 20.4 ms            | 1.07x slower | Significant (t=-18.74)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| pickle                        | 8.99 us            | 10.1 us            | 1.12x slower | Significant (t=-54.81)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| pickle_dict                   | 27.7 us            | 30.9 us            | 1.11x slower | Significant (t=-61.88)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| pickle_list                   | 3.60 us            | 4.18 us            | 1.16x slower | Significant (t=-80.87)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| pickle_pure_python            | 288 us             | 303 us             | 1.06x slower | Significant (t=-24.11)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| pidigits                      | 176 ms             | 165 ms             | 1.07x faster | Significant (t=42.25)   |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| pprint_pformat                | 1.38 sec           | 1.55 sec           | 1.13x slower | Significant (t=-118.36) |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| pprint_safe_repr              | 665 ms             | 756 ms             | 1.14x slower | Significant (t=-107.59) |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| pyflate                       | 438 ms             | 445 ms             | 1.02x slower | Not significant         |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| python_startup                | 8.93 ms            | 9.63 ms            | 1.08x slower | Significant (t=-50.57)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| python_startup_no_site        | 6.51 ms            | 7.14 ms            | 1.10x slower | Significant (t=-51.79)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| raytrace                      | 280 ms             | 334 ms             | 1.19x slower | Significant (t=-117.64) |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| regex_compile                 | 132 ms             | 145 ms             | 1.09x slower | Significant (t=-40.78)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| regex_dna                     | 173 ms             | 169 ms             | 1.02x faster | Not significant         |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| regex_effbot                  | 2.94 ms            | 2.83 ms            | 1.04x faster | Significant (t=23.63)   |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| regex_v8                      | 20.2 ms            | 19.7 ms            | 1.03x faster | Significant (t=13.66)   |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| richards                      | 42.0 ms            | 44.3 ms            | 1.05x slower | Significant (t=-23.30)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| richards_super                | 53.0 ms            | 55.9 ms            | 1.06x slower | Significant (t=-26.86)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| scimark_fft                   | 306 ms             | 362 ms             | 1.18x slower | Significant (t=-141.30) |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| scimark_lu                    | 101 ms             | 117 ms             | 1.16x slower | Significant (t=-69.37)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| scimark_monte_carlo           | 58.4 ms            | 67.7 ms            | 1.16x slower | Significant (t=-86.50)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| scimark_sor                   | 103 ms             | 114 ms             | 1.10x slower | Significant (t=-53.91)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| scimark_sparse_mat_mult       | 3.99 ms            | 4.61 ms            | 1.16x slower | Significant (t=-81.71)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| spectral_norm                 | 92.4 ms            | 109 ms             | 1.18x slower | Significant (t=-107.52) |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| sqlglot_normalize             | 105 ms             | 111 ms             | 1.07x slower | Significant (t=-34.29)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| sqlglot_optimize              | 51.0 ms            | 54.7 ms            | 1.07x slower | Significant (t=-39.39)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| sqlglot_parse                 | 1.33 ms            | 1.63 ms            | 1.22x slower | Significant (t=-41.09)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| sqlglot_transpile             | 1.62 ms            | 1.90 ms            | 1.17x slower | Significant (t=-28.01)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| sqlite_synth                  | 2.33 us            | 2.68 us            | 1.15x slower | Significant (t=-59.66)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| sympy_expand                  | 490 ms             | 545 ms             | 1.11x slower | Significant (t=-84.23)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| sympy_integrate               | 20.9 ms            | 22.8 ms            | 1.09x slower | Significant (t=-29.63)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| sympy_str                     | 299 ms             | 336 ms             | 1.13x slower | Significant (t=-56.32)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| sympy_sum                     | 175 ms             | 201 ms             | 1.15x slower | Significant (t=-53.68)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| telco                         | 5.82 ms            | 6.05 ms            | 1.04x slower | Significant (t=-19.70)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| tomli_loads                   | 2.05 sec           | 2.27 sec           | 1.11x slower | Significant (t=-91.38)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| typing_runtime_protocols      | 521 us             | 545 us             | 1.05x slower | Significant (t=-24.42)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| unpack_sequence               | 39.6 ns            | 49.3 ns            | 1.24x slower | Significant (t=-120.01) |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| unpickle                      | 14.4 us            | 16.4 us            | 1.14x slower | Significant (t=-54.45)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| unpickle_list                 | 3.90 us            | 4.42 us            | 1.13x slower | Significant (t=-66.41)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| unpickle_pure_python          | 233 us             | 227 us             | 1.03x faster | Significant (t=15.12)   |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| xml_etree_generate            | 81.1 ms            | 82.7 ms            | 1.02x slower | Not significant         |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| xml_etree_iterparse           | 98.1 ms            | 129 ms             | 1.31x slower | Significant (t=-70.82)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| xml_etree_parse               | 141 ms             | 127 ms             | 1.11x faster | Significant (t=25.74)   |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+
| xml_etree_process             | 56.4 ms            | 59.9 ms            | 1.06x slower | Significant (t=-23.14)  |
+-------------------------------+--------------------+--------------------+--------------+-------------------------+

## consolidate.py
"""
Consolidate multiple pyperfomance JSON files into one with the best results.
"""

import json
from typing import IO, NotRequired, TypedDict

import click


def warn(message: str) -> None:
    click.secho("warning: " + message, fg="red", bold=True, err=True)


class RunMetadata(TypedDict):
    calibrate_loops: NotRequired[int]
    command_max_rss: int
    date: str  # timestamp like '2023-06-04 08:27:08.039696'
    duration: float
    load_avg_1min: float
    uptime: float


class Run(TypedDict):
    metadata: RunMetadata
    warmups: list[list[float]]  # inner lists are really 2-item (int, float) tuples
    values: NotRequired[list[float]]  # not required for metadata['calibrate_loops']


class BenchmarkMetadata(TypedDict):
    command: str
    description: str
    loops: int
    name: str
    runnable_threads: int
    tags: list[str]


class Benchmark(TypedDict):
    metadata: BenchmarkMetadata
    runs: list[Run]


class FileMetadata(TypedDict):
    aslr: str
    boot_time: str  # timestamp like '2023-06-03 17:33:50'
    cpu_config: str
    cpu_count: int
    cpu_freq: str
    cpu_model_name: str
    hostname: str
    perf_version: str
    performance_version: str  # x.y.z
    platform: str
    unit: str


class PerformanceJSON(TypedDict):
    version: str  # 1.0
    metadata: FileMetadata
    benchmarks: list[Benchmark]


def check_metadata_consistent(canonical: FileMetadata, current: FileMetadata):
    for key in current:
        if key == "boot_time":
            continue
        expected = canonical.get(key, "")
        actual = current[key]  # type: ignore
        if expected and expected != actual:
            raise ValueError(f"{key} expected: {expected}, got {actual}")


def consolidate_runs(canonical: Benchmark, current: Benchmark) -> None:
    result: list[Run] = []
    canonical_calibration = canonical["runs"].pop(0)
    current_calibration = current["runs"].pop(0)
    assert canonical_calibration["metadata"].get("calibrate_loops", 0) > 0
    assert current_calibration["metadata"].get("calibrate_loops", 0) > 0

    result_calibration: Run
    if (
        canonical_calibration["metadata"]["duration"]
        <= current_calibration["metadata"]["duration"]
    ):
        result_calibration = canonical_calibration
    else:
        result_calibration = current_calibration

    keep_count = len(canonical["runs"])
    result.extend(canonical["runs"])
    result.extend(current["runs"])
    result.sort(key=lambda r: sum(r.get("values", [0])))
    canonical["runs"] = [result_calibration] + result[:keep_count]


@click.command()
@click.argument("path", nargs=-1, type=click.File("rb"))
def main(path: list[IO[bytes]]) -> None:
    metadata: FileMetadata | None = None
    benchmarks: dict[str, Benchmark] = {}  # {name: Benchmark}
    first = True
    for fp in path:
        j: PerformanceJSON = json.load(fp)
        v = j.get("version", "unknown")
        if v != "1.0":
            raise click.Abort(
                f"pyperformance JSON version unsupported: {v} in file {fp.name}"
            )
        if first:
            metadata = j["metadata"]
        elif metadata:  # effectively `else:`, it's `elif:` to appease type checking
            try:
                check_metadata_consistent(canonical=metadata, current=j["metadata"])
            except ValueError as ve:
                warn(f"metadata in file {fp.name} not consistent: {ve}")

        # ensure no missing benchmarks in current
        if not first:
            for name in benchmarks:
                for bench in j["benchmarks"]:
                    if bench["metadata"]["name"] == name:
                        break
                else:
                    warn(f"file {fp.name} doesn't include benchmark {name}")

        for benchmark in j["benchmarks"]:
            name = benchmark["metadata"]["name"]
            if first:
                benchmarks[name] = benchmark
                continue

            # ensure no extra benchmarks in current
            if name not in benchmarks:
                warn(f"first file doesn't include benchmark {name} found in {fp.name}")
                continue

            consolidate_runs(canonical=benchmarks[name], current=benchmark)

        first = False

    assert metadata is not None
    result: PerformanceJSON = {
        "version": "1.0",
        "metadata": metadata,
        "benchmarks": list(benchmarks.values()),
    }

    click.echo(json.dumps(result, indent=2))


if __name__ == "__main__":
    main()

## intel311-1.json
{"benchmarks":[{"metadata":{"command":"/home/ambv/nogil/venv/cpython3.11-b1fcd093b7f8-compat-e3aaa88db39d/bin/python -m lib2to3 -f all /home/ambv/nogil/venv/lib/python3.10/site-packages/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/xheaders.py.txt /home/ambv/nogil/venv/lib/python3.10/site-packages/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/urlresolvers.py.txt /home/ambv/nogil/venv/lib/python3.10/site-packages/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/signals.py.txt /home/ambv/nogil/venv/lib/python3.10/site-packages/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/paginator.py.txt /home/ambv/nogil/venv/lib/python3.10/site-packages/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/mail.py.txt /home/ambv/nogil/venv/lib/python3.10/site-packages/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/exceptions.py.txt /home/ambv/nogil/venv/lib/python3.10/site-packages/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/__init__.py.txt /home/ambv/nogil/venv/lib/python3.10/site-packages/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/context_processors.py.txt /home/ambv/nogil/venv/lib/python3.10/site-packages/pyperformance/data-files/benchmarks/bm_2to3/data/2to3/template_loader.py.txt","description":"Performance of the Python 2to3 program","loops":1,"name":"2to3","runnable_threads":1,"tags":["apps"]},"runs":[{"metadata":{"calibrate_loops":1,"command_max_rss":23842816,"date":"2023-06-04 08:26:51.403617","duration":1.2101711140057887,"load_avg_1min":1.01,"uptime":53581.4045817852},"warmups":[[1,0.33833640000375453],[1,0.25359246900188737],[1,0.2580007049982669],[1,0.24901359400246292]]},{"metadata":{"command_max_rss":23289856,"date":"2023-06-04 08:26:52.589685","duration":1.132424527000694,"load_avg_1min":1.01,"uptime":53582.5906393528},"values":[0.24942672700126423,0.2581984630014631,0.25225605400191853],"warmups":[[1,0.2635897099971771]]},{"metadata":{"command_max_rss":23257088,"date":"2023-06-04 08:26:53.774591","duration":1.1323311820015078,"load_avg_1min":1.01,"uptime":53583.775520563126},"values":[0.2516236099982052,0.2579922240038286,0.25403966099838726],"warmups":[[1,0.25998562300082995]]},{"metadata":{"command_max_rss":23339008,"date":"2023-06-04 08:26:54.959208","duration":1.1339663659964572,"load_avg_1min":1.01,"uptime":53584.96012592316},"values":[0.25171648799732793,0.2566757120002876,0.2553276079997886],"warmups":[[1,0.25979648499924224]]},{"metadata":{"command_max_rss":23453696,"date":"2023-06-04 08:26:56.147321","duration":1.1368379519990413,"load_avg_1min":1.01,"uptime":53586.148205280304},"values":[0.2517529840042698,0.25850115199864376,0.2619914710012381],"warmups":[[1,0.2575090559985256]]},{"metadata":{"command_max_rss":23334912,"date":"2023-06-04 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## intel311-2.json
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## intel311-3.json

      
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## intel311-best.json

      
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## nogil312-1.json

      
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## nogil312-2.json

      
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## nogil312-3.json

      
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## nogil312-4.json

      
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## nogil312-best.json

      
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	intel311-best.json
	==================

	Performance version: 1.0.8
	Report on Linux-4.15.0-212-generic-x86_64-with-glibc2.27
	Number of logical CPUs: 4
	Start date: 2023-06-04 08:26:52.589685
	End date: 2023-06-04 15:26:16.155938

	nogil312-best.json
	==================

	Performance version: 1.0.8
	Report on Linux-4.15.0-212-generic-x86_64-with-glibc2.27
	Number of logical CPUs: 4
	Start date: 2023-06-03 18:08:33.058698
	End date: 2023-06-04 13:30:20.704255

	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| Benchmark \| intel311-best.json \| nogil312-best.json \| Change \| Significance \|
	+===============================+====================+====================+==============+=========================+
	\| 2to3 \| 253 ms \| 286 ms \| 1.13x slower \| Significant (t=-54.23) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| async_generators \| 290 ms \| 298 ms \| 1.03x slower \| Significant (t=-16.42) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| async_tree_cpu_io_mixed \| 839 ms \| 533 ms \| 1.57x faster \| Significant (t=223.80) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| async_tree_eager \| 620 ms \| 296 ms \| 2.09x faster \| Significant (t=177.26) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| async_tree_eager_cpu_io_mixed \| 848 ms \| 530 ms \| 1.60x faster \| Significant (t=218.18) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| async_tree_eager_io \| 1.46 sec \| 582 ms \| 2.51x faster \| Significant (t=165.89) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| async_tree_eager_memoization \| 772 ms \| 374 ms \| 2.06x faster \| Significant (t=140.73) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| async_tree_io \| 1.46 sec \| 583 ms \| 2.51x faster \| Significant (t=177.53) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| async_tree_memoization \| 765 ms \| 375 ms \| 2.04x faster \| Significant (t=119.79) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| async_tree_none \| 609 ms \| 297 ms \| 2.05x faster \| Significant (t=81.97) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| asyncio_tcp \| 1.05 sec \| 660 ms \| 1.59x faster \| Significant (t=54.58) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| asyncio_tcp_ssl \| 3.52 sec \| 2.20 sec \| 1.60x faster \| Significant (t=431.30) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| bench_mp_pool \| 12.8 ms \| 7.97 ms \| 1.61x faster \| Significant (t=26.48) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| bench_thread_pool \| 1.32 ms \| 1.87 ms \| 1.42x slower \| Significant (t=-103.80) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| chameleon \| 6.12 ms \| 7.36 ms \| 1.20x slower \| Significant (t=-82.69) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| chaos \| 63.7 ms \| 69.4 ms \| 1.09x slower \| Significant (t=-38.03) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| comprehensions \| 21.0 us \| 26.3 us \| 1.25x slower \| Significant (t=-123.51) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| coroutines \| 23.3 ms \| 22.7 ms \| 1.03x faster \| Significant (t=15.15) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| coverage \| 93.0 ms \| 96.1 ms \| 1.03x slower \| Significant (t=-13.94) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| create_gc_cycles \| 1.16 ms \| 1.28 ms \| 1.10x slower \| Significant (t=-39.16) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| crypto_pyaes \| 73.2 ms \| 80.0 ms \| 1.09x slower \| Significant (t=-39.45) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| deepcopy \| 327 us \| 380 us \| 1.16x slower \| Significant (t=-76.99) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| deepcopy_memo \| 34.1 us \| 40.7 us \| 1.19x slower \| Significant (t=-92.00) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| deepcopy_reduce \| 2.80 us \| 3.31 us \| 1.18x slower \| Significant (t=-75.37) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| deltablue \| 3.62 ms \| 3.61 ms \| 1.00x faster \| Not significant \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| django_template \| 33.1 ms \| 38.8 ms \| 1.17x slower \| Significant (t=-76.51) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| docutils \| 2.67 sec \| 2.95 sec \| 1.10x slower \| Significant (t=-31.30) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| dulwich_log \| 76.0 ms \| 80.8 ms \| 1.06x slower \| Significant (t=-21.02) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| fannkuch \| 351 ms \| 367 ms \| 1.05x slower \| Significant (t=-39.43) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| float \| 75.1 ms \| 66.3 ms \| 1.13x faster \| Significant (t=42.60) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| gc_traversal \| 3.34 ms \| 3.16 ms \| 1.06x faster \| Significant (t=14.21) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| generators \| 44.2 ms \| 53.0 ms \| 1.20x slower \| Significant (t=-69.48) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| genshi_text \| 21.7 ms \| 23.9 ms \| 1.10x slower \| Significant (t=-40.22) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| genshi_xml \| 50.3 ms \| 50.6 ms \| 1.01x slower \| Not significant \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| go \| 133 ms \| 142 ms \| 1.07x slower \| Significant (t=-21.69) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| hexiom \| 6.05 ms \| 6.37 ms \| 1.05x slower \| Significant (t=-26.29) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| html5lib \| 62.6 ms \| 66.3 ms \| 1.06x slower \| Significant (t=-7.64) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| json_dumps \| 11.9 ms \| 10.5 ms \| 1.14x faster \| Significant (t=61.47) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| json_loads \| 24.6 us \| 26.7 us \| 1.08x slower \| Significant (t=-38.99) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| logging_format \| 6.97 us \| 7.86 us \| 1.13x slower \| Significant (t=-38.32) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| logging_silent \| 92.1 ns \| 104 ns \| 1.12x slower \| Significant (t=-68.88) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| logging_simple \| 6.21 us \| 6.98 us \| 1.12x slower \| Significant (t=-38.69) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| mako \| 10.1 ms \| 13.5 ms \| 1.33x slower \| Significant (t=-110.14) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| mdp \| 2.56 sec \| 2.73 sec \| 1.06x slower \| Significant (t=-40.98) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| meteor_contest \| 100.0 ms \| 112 ms \| 1.12x slower \| Significant (t=-68.46) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| nbody \| 87.5 ms \| 107 ms \| 1.22x slower \| Significant (t=-111.66) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| nqueens \| 78.2 ms \| 83.2 ms \| 1.06x slower \| Significant (t=-28.35) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| pathlib \| 19.1 ms \| 20.4 ms \| 1.07x slower \| Significant (t=-18.74) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| pickle \| 8.99 us \| 10.1 us \| 1.12x slower \| Significant (t=-54.81) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| pickle_dict \| 27.7 us \| 30.9 us \| 1.11x slower \| Significant (t=-61.88) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| pickle_list \| 3.60 us \| 4.18 us \| 1.16x slower \| Significant (t=-80.87) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| pickle_pure_python \| 288 us \| 303 us \| 1.06x slower \| Significant (t=-24.11) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| pidigits \| 176 ms \| 165 ms \| 1.07x faster \| Significant (t=42.25) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| pprint_pformat \| 1.38 sec \| 1.55 sec \| 1.13x slower \| Significant (t=-118.36) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| pprint_safe_repr \| 665 ms \| 756 ms \| 1.14x slower \| Significant (t=-107.59) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| pyflate \| 438 ms \| 445 ms \| 1.02x slower \| Not significant \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| python_startup \| 8.93 ms \| 9.63 ms \| 1.08x slower \| Significant (t=-50.57) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| python_startup_no_site \| 6.51 ms \| 7.14 ms \| 1.10x slower \| Significant (t=-51.79) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| raytrace \| 280 ms \| 334 ms \| 1.19x slower \| Significant (t=-117.64) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| regex_compile \| 132 ms \| 145 ms \| 1.09x slower \| Significant (t=-40.78) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| regex_dna \| 173 ms \| 169 ms \| 1.02x faster \| Not significant \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| regex_effbot \| 2.94 ms \| 2.83 ms \| 1.04x faster \| Significant (t=23.63) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| regex_v8 \| 20.2 ms \| 19.7 ms \| 1.03x faster \| Significant (t=13.66) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| richards \| 42.0 ms \| 44.3 ms \| 1.05x slower \| Significant (t=-23.30) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| richards_super \| 53.0 ms \| 55.9 ms \| 1.06x slower \| Significant (t=-26.86) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| scimark_fft \| 306 ms \| 362 ms \| 1.18x slower \| Significant (t=-141.30) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| scimark_lu \| 101 ms \| 117 ms \| 1.16x slower \| Significant (t=-69.37) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| scimark_monte_carlo \| 58.4 ms \| 67.7 ms \| 1.16x slower \| Significant (t=-86.50) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| scimark_sor \| 103 ms \| 114 ms \| 1.10x slower \| Significant (t=-53.91) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| scimark_sparse_mat_mult \| 3.99 ms \| 4.61 ms \| 1.16x slower \| Significant (t=-81.71) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| spectral_norm \| 92.4 ms \| 109 ms \| 1.18x slower \| Significant (t=-107.52) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| sqlglot_normalize \| 105 ms \| 111 ms \| 1.07x slower \| Significant (t=-34.29) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| sqlglot_optimize \| 51.0 ms \| 54.7 ms \| 1.07x slower \| Significant (t=-39.39) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| sqlglot_parse \| 1.33 ms \| 1.63 ms \| 1.22x slower \| Significant (t=-41.09) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| sqlglot_transpile \| 1.62 ms \| 1.90 ms \| 1.17x slower \| Significant (t=-28.01) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| sqlite_synth \| 2.33 us \| 2.68 us \| 1.15x slower \| Significant (t=-59.66) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| sympy_expand \| 490 ms \| 545 ms \| 1.11x slower \| Significant (t=-84.23) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| sympy_integrate \| 20.9 ms \| 22.8 ms \| 1.09x slower \| Significant (t=-29.63) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| sympy_str \| 299 ms \| 336 ms \| 1.13x slower \| Significant (t=-56.32) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| sympy_sum \| 175 ms \| 201 ms \| 1.15x slower \| Significant (t=-53.68) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| telco \| 5.82 ms \| 6.05 ms \| 1.04x slower \| Significant (t=-19.70) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| tomli_loads \| 2.05 sec \| 2.27 sec \| 1.11x slower \| Significant (t=-91.38) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| typing_runtime_protocols \| 521 us \| 545 us \| 1.05x slower \| Significant (t=-24.42) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| unpack_sequence \| 39.6 ns \| 49.3 ns \| 1.24x slower \| Significant (t=-120.01) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| unpickle \| 14.4 us \| 16.4 us \| 1.14x slower \| Significant (t=-54.45) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| unpickle_list \| 3.90 us \| 4.42 us \| 1.13x slower \| Significant (t=-66.41) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| unpickle_pure_python \| 233 us \| 227 us \| 1.03x faster \| Significant (t=15.12) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| xml_etree_generate \| 81.1 ms \| 82.7 ms \| 1.02x slower \| Not significant \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| xml_etree_iterparse \| 98.1 ms \| 129 ms \| 1.31x slower \| Significant (t=-70.82) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| xml_etree_parse \| 141 ms \| 127 ms \| 1.11x faster \| Significant (t=25.74) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	\| xml_etree_process \| 56.4 ms \| 59.9 ms \| 1.06x slower \| Significant (t=-23.14) \|
	+-------------------------------+--------------------+--------------------+--------------+-------------------------+
	"""
	Consolidate multiple pyperfomance JSON files into one with the best results.
	"""

	import json
	from typing import IO, NotRequired, TypedDict

	import click


	def warn(message: str) -> None:
	click.secho("warning: " + message, fg="red", bold=True, err=True)


	class RunMetadata(TypedDict):
	calibrate_loops: NotRequired[int]
	command_max_rss: int
	date: str # timestamp like '2023-06-04 08:27:08.039696'
	duration: float
	load_avg_1min: float
	uptime: float


	class Run(TypedDict):
	metadata: RunMetadata
	warmups: list[list[float]] # inner lists are really 2-item (int, float) tuples
	values: NotRequired[list[float]] # not required for metadata['calibrate_loops']


	class BenchmarkMetadata(TypedDict):
	command: str
	description: str
	loops: int
	name: str
	runnable_threads: int
	tags: list[str]


	class Benchmark(TypedDict):
	metadata: BenchmarkMetadata
	runs: list[Run]


	class FileMetadata(TypedDict):
	aslr: str
	boot_time: str # timestamp like '2023-06-03 17:33:50'
	cpu_config: str
	cpu_count: int
	cpu_freq: str
	cpu_model_name: str
	hostname: str
	perf_version: str
	performance_version: str # x.y.z
	platform: str
	unit: str


	class PerformanceJSON(TypedDict):
	version: str # 1.0
	metadata: FileMetadata
	benchmarks: list[Benchmark]


	def check_metadata_consistent(canonical: FileMetadata, current: FileMetadata):
	for key in current:
	if key == "boot_time":
	continue
	expected = canonical.get(key, "")
	actual = current[key] # type: ignore
	if expected and expected != actual:
	raise ValueError(f"{key} expected: {expected}, got {actual}")


	def consolidate_runs(canonical: Benchmark, current: Benchmark) -> None:
	result: list[Run] = []
	canonical_calibration = canonical["runs"].pop(0)
	current_calibration = current["runs"].pop(0)
	assert canonical_calibration["metadata"].get("calibrate_loops", 0) > 0
	assert current_calibration["metadata"].get("calibrate_loops", 0) > 0

	result_calibration: Run
	if (
	canonical_calibration["metadata"]["duration"]
	<= current_calibration["metadata"]["duration"]
	):
	result_calibration = canonical_calibration
	else:
	result_calibration = current_calibration

	keep_count = len(canonical["runs"])
	result.extend(canonical["runs"])
	result.extend(current["runs"])
	result.sort(key=lambda r: sum(r.get("values", [0])))
	canonical["runs"] = [result_calibration] + result[:keep_count]


	@click.command()
	@click.argument("path", nargs=-1, type=click.File("rb"))
	def main(path: list[IO[bytes]]) -> None:
	metadata: FileMetadata \| None = None
	benchmarks: dict[str, Benchmark] = {} # {name: Benchmark}
	first = True
	for fp in path:
	j: PerformanceJSON = json.load(fp)
	v = j.get("version", "unknown")
	if v != "1.0":
	raise click.Abort(
	f"pyperformance JSON version unsupported: {v} in file {fp.name}"
	)
	if first:
	metadata = j["metadata"]
	elif metadata: # effectively `else:`, it's `elif:` to appease type checking
	try:
	check_metadata_consistent(canonical=metadata, current=j["metadata"])
	except ValueError as ve:
	warn(f"metadata in file {fp.name} not consistent: {ve}")

	# ensure no missing benchmarks in current
	if not first:
	for name in benchmarks:
	for bench in j["benchmarks"]:
	if bench["metadata"]["name"] == name:
	break
	else:
	warn(f"file {fp.name} doesn't include benchmark {name}")

	for benchmark in j["benchmarks"]:
	name = benchmark["metadata"]["name"]
	if first:
	benchmarks[name] = benchmark
	continue

	# ensure no extra benchmarks in current
	if name not in benchmarks:
	warn(f"first file doesn't include benchmark {name} found in {fp.name}")
	continue

	consolidate_runs(canonical=benchmarks[name], current=benchmark)

	first = False

	assert metadata is not None
	result: PerformanceJSON = {
	"version": "1.0",
	"metadata": metadata,
	"benchmarks": list(benchmarks.values()),
	}

	click.echo(json.dumps(result, indent=2))


	if __name__ == "__main__":
	main()