amCap1712

Benchmark                                        (arrayLength)   Mode  Cnt         Score        Error  Units
FizzBuzzBenchmark.scalarFizzBuzz                           256  thrpt   25   2090520.408 ±  24101.832  ops/s
FizzBuzzBenchmark.scalarFizzBuzzMasked                     256  thrpt   25   4236376.841 ±  44501.955  ops/s
FizzBuzzBenchmark.simdFizzBuzz                             256  thrpt   25   6732049.853 ±  77958.142  ops/s
FizzBuzzBenchmark.simdFizzBuzzMasked                       256  thrpt   25   6305409.813 ±  37281.736  ops/s
FizzBuzzBenchmark.simdFizzBuzzMasked128                    256  thrpt   25   9893416.108 ± 563120.103  ops/s
FizzBuzzBenchmark.simdFizzBuzzMasked256                    256  thrpt   25  28848586.063 ± 203890.020  ops/s
FizzBuzzBenchmark.simdFizzBuzzMaskedPreferred              256  thrpt   25  28836915.191 ± 206452.056  ops/s
FizzBuzzBenchmark.simdFizzBuzzMasksInArray                 256  thrpt   25   7298538.643 ± 127103.017  ops/s
FizzBuzzBenchmark.simdFizzBuzzSeparateMaskI

amCap1712

 Sort  (cost=45223.48..45223.91 rows=174 width=70)
   Sort Key: (sum(t.listen_count)) DESC
   ->  GroupAggregate  (cost=45213.09..45217.00 rows=174 width=70)
         Group Key: q.recording_mbid, r.name, ac.name
         ->  Sort  (cost=45213.09..45213.52 rows=174 width=66)
               Sort Key: q.recording_mbid, r.name, ac.name
               ->  Nested Loop  (cost=26654.58..45206.61 rows=174 width=66)
                     ->  Nested Loop  (cost=26654.15..45127.91 rows=174 width=44)
                           ->  Hash Join  (cost=26653.59..43660.13 rows=174 width=36)
                                 Hash Cond: (t.recording_mbid = q.recording_mbid)

amCap1712

EXPLAIN ANALYZE
    WITH exclude_tracks AS (
        SELECT recording_mbid
          FROM mapping.tracks_of_the_year t
         WHERE user_name = 'ribombee'
    ), tracks AS (
        SELECT recording_mbid, listen_count
          FROM mapping.tracks_of_the_year t
         WHERE user_name IN ('kazatchok', 'tn5421', 'Shwedish')
           AND recording_mbid NOT IN (SELECT * FROM exclude_tracks)

amCap1712

Java 17+35-2724
Benchmark                                 Mode  Cnt  Score   Error  Units
FibonacciBenchmark.testFibonacciForkJoin  avgt    9  1.160 ± 0.040   s/op
FibonacciBenchmark.testFibonacciSingle    avgt    9  4.462 ± 0.031   s/op

Java 8.0.302
Benchmark                                 Mode  Cnt  Score   Error  Units
FibonacciBenchmark.testFibonacciForkJoin  avgt    9  1.040 ± 0.014   s/op
FibonacciBenchmark.testFibonacciSingle    avgt    9  4.091 ± 0.043   s/op

amCap1712

import argparse
import csv
from datetime import datetime, timezone
from typing import List, Tuple

from listenbrainz import ListenBrainzClient, Track


def process_scrobble_log(file) -> List[Tuple[int, Track]]:
    local_tz = datetime.now(timezone.utc).astimezone().tzinfo

amCap1712

import argparse
import json
from datetime import datetime
from typing import List, Tuple

from listenbrainz import ListenBrainzClient, Track


def chunks(lst, n):
    """Yield successive n-sized chunks from lst."""