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Benchmark Report

Job Properties

Commit: JuliaLang/julia@2a56b7876be5d9364f2b187828e82f0cef0609d0

Comparison Range: link

Triggered By: link

Tag Predicate: ALL

Daily Job: 2024-08-05 vs 2024-08-04

Results

Note: If Chrome is your browser, I strongly recommend installing the Wide GitHub extension, which makes the result table easier to read.

Below is a table of this job's results, obtained by running the benchmarks found in JuliaCI/BaseBenchmarks.jl. The values listed in the ID column have the structure [parent_group, child_group, ..., key], and can be used to index into the BaseBenchmarks suite to retrieve the corresponding benchmarks.

The percentages accompanying time and memory values in the below table are noise tolerances. The "true" time/memory value for a given benchmark is expected to fall within this percentage of the reported value.

A ratio greater than 1.0 denotes a possible regression (marked with ❌), while a ratio less than 1.0 denotes a possible improvement (marked with ✅). Only significant results - results that indicate possible regressions or improvements - are shown below (thus, an empty table means that all benchmark results remained invariant between builds).

ID time ratio memory ratio
["array", "accumulate", ("accumulate!", "Int")] 0.92 (5%) ✅ 1.00 (1%)
["array", "accumulate", ("cumsum!", "Int")] 0.80 (5%) ✅ 1.00 (1%)
["array", "bool", "boolarray_bool_load!"] 0.91 (5%) ✅ 1.00 (1%)
["array", "cat", ("catnd_setind", 5)] 1.05 (5%) ❌ 1.00 (1%)
["array", "cat", ("hvcat_setind", 5)] 0.94 (5%) ✅ 1.00 (1%)
["array", "comprehension", ("comprehension_iteration", "StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}")] 1.16 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "BitArray")] 0.93 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 1.19 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "Vector{Int16}")] 1.20 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 1.09 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Float64}")] 0.90 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_multiple!", 8)] 0.88 (5%) ✅ 1.00 (1%)
["array", "index", ("sumcolon_view", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Int32}, 2, Int64, Matrix{Int64}, false}")] 0.48 (50%) ✅ 1.00 (1%)
["array", "index", ("sumeach", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.38 (50%) ✅ 1.00 (1%)
["array", "index", ("sumeach_view", "SubArray{Float32, 2, Array{Float32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.37 (50%) ✅ 1.00 (1%)
["array", "index", ("sumeach_view", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.38 (50%) ✅ 1.00 (1%)
["array", "index", ("sumelt", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.36 (50%) ✅ 1.00 (1%)
["array", "index", ("sumlinear", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.38 (50%) ✅ 1.00 (1%)
["array", "index", ("sumlinear_view", "SubArray{Float32, 2, Array{Float32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.37 (50%) ✅ 1.00 (1%)
["array", "index", ("sumlinear_view", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.38 (50%) ✅ 1.00 (1%)
["array", "index", ("sumrange_view", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Int32}, 2, Int64, Matrix{Int64}, false}")] 0.49 (50%) ✅ 1.00 (1%)
["array", "reductions", ("perf_mapreduce", "Int64")] 1.06 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 1)] 1.07 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 5)] 0.94 (5%) ✅ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 0.89 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "scal_tup")] 0.82 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "tup_tup")] 0.91 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", ("array", 10)] 0.93 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", ("array", 3)] 0.94 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", ("array", 5)] 0.94 (5%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "symdiff!", "BitSet")] 0.69 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "union!", "BitSet")] 0.69 (25%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Second")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "conversion", "Date -> DateTime"] 1.11 (5%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "ISODateTimeFormat")] 0.94 (5%) ✅ 1.00 (1%)
["dates", "parse", ("DateTime", "RFC1123Format", "Mixedcase")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "10-90")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findnext", ("Vector{Bool}", "50-50")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Float32}")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt64}")] 1.13 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "many_global_refs"] 1.67 (5%) ❌ 1.12 (1%) ❌
["inference", "allinference", "many_global_refs"] 1.27 (5%) ❌ 1.06 (1%) ❌
["misc", "allocation elision view", "conditional"] 1.52 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("Int", "Int")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("Int", "UInt")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt", "UInt")] 0.93 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 1.09 (5%) ❌ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...))"] 1.10 (5%) ❌ 1.00 (1%)
["misc", "foldl", "foldl(+, flatten(filter(...)))"] 0.70 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1)"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000)"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "parse", "Float64"] 1.09 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 0.95 (5%) ✅ 1.00 (1%)
["problem", "raytrace", "raytrace"] 0.89 (5%) ✅ 1.00 (1%)
["problem", "spellcheck", "spellcheck"] 0.86 (5%) ✅ 1.00 (1%)
["problem", "stockcorr", "stockcorr"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("0.5 <= abs(x) < 1", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("one", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("one", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("small", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("zero", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("zero", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "acosh", ("1 <= abs(x) < 2", "positive argument", "Float32")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "acosh", ("2 <= abs(x) < 2^28", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acosh", ("one", "Float32")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "acosh", ("one", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acosh", ("very large", "positive argument", "Float64")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("0.5 <= abs(x) < 0.975", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("one", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("one", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("one", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("small", "positive argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very large", "negative argument", "Float64")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very large", "positive argument", "Float64")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("zero", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("zero", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("11/16 <= abs(x) < 19/16", "negative argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("11/16 <= abs(x) < 19/16", "positive argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("39/16 <= abs(x) < 2^66", "negative argument", "Float64")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("39/16 <= abs(x) < 2^66", "positive argument", "Float64")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("7/16 <= abs(x) < 11/16", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("7/16 <= abs(x) < 11/16", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very small", "positive argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("zero", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y infinite", "y negative", "x finite", "x negative", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y infinite", "y negative", "x finite", "x negative", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y negative", "x positive", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x negative", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x positive", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) safe (large)", "y negative", "x negative", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) safe (large)", "y negative", "x positive", "Float64")] 0.58 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) safe (large)", "y positive", "x negative", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) safe (large)", "y positive", "x positive", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) safe (small)", "y negative", "x negative", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float32")] 1.39 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x zero", "y negative", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x zero", "y positive", "Float32")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y finite", "y negative", "x infinite", "x negative", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y finite", "y negative", "x infinite", "x positive", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y finite", "y positive", "x infinite", "x positive", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y finite", "y positive", "x infinite", "x positive", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x negative", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x negative", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x positive", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x infinite", "x positive", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x infinite", "x positive", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x finite", "x positive", "Float32")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x negative", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x positive", "Float32")] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x negative", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x negative", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x positive", "Float32")] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "cbrt", ("large", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cbrt", ("large", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cbrt", ("zero", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cbrt", ("zero", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float32", "cos_kernel")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 4π/4", "negative argument", "Float32", "cos_kernel")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 4π/4", "positive argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("0 <= abs(x) < 0.00024414062f0", "negative argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("0 <= abs(x) < 0.00024414062f0", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("0 <= abs(x) < 2.7755602085408512e-17", "positive argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("2.7755602085408512e-17 <= abs(x) < 22.0", "negative argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("2.7755602085408512e-17 <= abs(x) < 22.0", "positive argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("22.0 <= abs(x) < 709.7822265633563", "negative argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("22.0 <= abs(x) < 709.7822265633563", "positive argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("very large", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("very large", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("very small", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("very small", "positive argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("zero", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow35", "positive argument", "Float32")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("huge", "positive argument", "Float3")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("huge", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "negative argument", "Float32")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("medium", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("medium", "positive argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "fastmath", "13786"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 6π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 7π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 8π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 9π/4", "positive argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (hard) abs(x) < 6π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("no reduction", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("no reduction", "zero", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2π/4", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 3π/4", "negative argument", "Float64")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 3π/4", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 4π/4", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64")] 1.23 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 5π/4", "negative argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 6π/4", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 6π/4", "positive argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 8π/4", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 9π/4", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (hard) abs(x) < 4π/4", "negative argument", "Float64")] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2.0^20π/4", "negative argument", "Float32", "sin_kernel")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2.0^20π/4", "positive argument", "Float32", "sin_kernel")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2π/4", "positive argument", "Float32", "cos_kernel")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float32", "sin_kernel")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 8π/4", "positive argument", "Float32", "sin_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 9π/4", "negative argument", "Float32", "sin_kernel")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 9π/4", "positive argument", "Float32", "sin_kernel")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (hard) abs(x) < 8π/4", "negative argument", "Float32", "sin_kernel")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (hard) abs(x) < 8π/4", "positive argument", "Float32", "sin_kernel")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("no reduction", "zero", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("2.0^-28 <= abs(x) < 22.0", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("2.0^-28 <= abs(x) < 22.0", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("22.0 <= abs(x) < 709.7822265633563", "negative argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("22.0 <= abs(x) < 709.7822265633563", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("very large", "negative argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("very large", "positive argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("large", "negative argument", "Float32")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("large", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("zero", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("1.0 <= abs(x) < 22.0", "negative argument", "Float64")] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("1.0 <= abs(x) < 22.0", "positive argument", "Float64")] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("2f0^-12 <= abs(x) < 1f0", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("2f0^-12 <= abs(x) < 1f0", "positive argument", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("very large", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 2, 31)] 0.78 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 2, 63)] 0.76 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Int32", 3, 32)] 0.78 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 4, 32)] 1.63 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 4, 63)] 1.31 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 4, 64)] 1.47 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int64", 2, 31)] 0.76 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int64", 4, 32)] 1.54 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_example!", "Float64", 2, 63)] 0.71 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "manual_partition!", "Int32", 4, 31)] 1.32 (20%) ❌ 1.00 (1%)
["sort", "issues", "partialsort!(rand(10_000), 1:3, rev=true)"] 1.00 (20%) 0.97 (1%) ✅
["sort", "length = 10", "Float64 unions with missing"] 1.22 (20%) ❌ 1.00 (1%)
["sort", "length = 3", "Float64 unions with missing"] 1.27 (20%) ❌ 1.00 (1%)
["sparse", "matmul", ("A_mul_B", "sparse 500x500, dense 500x5 -> dense 500x5")] 0.69 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("A_mul_B", "sparse 50x500, dense 500x5 -> dense 50x5")] 0.66 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("A_mul_Bt", "sparse 500x500, dense 5x500 -> dense 500x5")] 0.67 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("A_mul_Bt", "sparse 50x50, dense 50x50 -> dense 50x50")] 0.67 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("A_mul_Bt", "sparse 50x500, dense 5x500 -> dense 50x5")] 0.63 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("A_mul_Bt", "sparse 5x50, dense 50x50 -> dense 5x50")] 0.64 (30%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 0.93 (5%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different"] 0.89 (5%) ✅ 1.00 (1%)
["string", "join"] 0.53 (40%) ✅ 1.00 (1%)
["string", "readuntil", "target length 2"] 0.95 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat str len 1"] 1.05 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(2, 2)", "(2, 2)")] 1.19 (5%) ❌ 1.00 (1%)
["tuple", "misc", "11899"] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2, 2)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2,)")] 0.50 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(8, 8)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(2,)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2,)")] 0.78 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(false, true)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(true, true)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(false, true)")] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(true, true)")] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Bool", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float64", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int8", 1)] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Bool", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float64", 1)] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "BigFloat", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "BigInt", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 1)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float64", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int64", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "Float64", 0)] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "Float64", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Float32", 1)] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Float64", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Int64", 1)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 1)] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "BigFloat", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "BigInt", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 1)] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(false, true)")] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(true, true)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(true, true)")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(false, true)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(false, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "BigFloat")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "BigInt")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "ComplexF64")] 0.79 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "Float64")] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countnothing", "Bool", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countnothing", "Bool", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countnothing", "ComplexF64", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countnothing", "ComplexF64", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countnothing", "Float32", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countnothing", "Float32", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countnothing", "Float64", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countnothing", "Float64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countnothing", "Int64", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countnothing", "Int64", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countnothing", "Int8", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countnothing", "Int8", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigInt", 1)] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Bool", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "BigInt", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "BigInt", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Bool", 1)] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "ComplexF64", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "BigInt", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, BigInt}", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Bool}", 1)] 1.47 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, ComplexF64}", 1)] 1.29 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float32}", 1)] 1.35 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float64}", 1)] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Int64}", 1)] 1.27 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Int8}", 1)] 1.55 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Bool", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "BigInt", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Bool", 0)] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Float32", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, BigInt}", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, Bool}", 1)] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, Int8}", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, BigInt}", 0)] 0.94 (5%) ✅ 1.00 (1%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["alloc"]
  • ["array", "accumulate"]
  • ["array", "any/all"]
  • ["array", "bool"]
  • ["array", "cat"]
  • ["array", "comprehension"]
  • ["array", "convert"]
  • ["array", "equality"]
  • ["array", "growth"]
  • ["array", "index"]
  • ["array", "reductions"]
  • ["array", "reverse"]
  • ["array", "setindex!"]
  • ["array", "subarray"]
  • ["broadcast"]
  • ["broadcast", "dotop"]
  • ["broadcast", "fusion"]
  • ["broadcast", "mix_scalar_tuple"]
  • ["broadcast", "sparse"]
  • ["broadcast", "typeargs"]
  • ["collection", "deletion"]
  • ["collection", "initialization"]
  • ["collection", "iteration"]
  • ["collection", "optimizations"]
  • ["collection", "queries & updates"]
  • ["collection", "set operations"]
  • ["dates", "accessor"]
  • ["dates", "arithmetic"]
  • ["dates", "construction"]
  • ["dates", "conversion"]
  • ["dates", "parse"]
  • ["dates", "query"]
  • ["dates", "string"]
  • ["find", "findall"]
  • ["find", "findnext"]
  • ["find", "findprev"]
  • ["frontend"]
  • ["inference", "abstract interpretation"]
  • ["inference", "allinference"]
  • ["inference", "optimization"]
  • ["io", "array_limit"]
  • ["io", "read"]
  • ["io", "serialization"]
  • ["io"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["linalg"]
  • ["micro"]
  • ["misc"]
  • ["misc", "23042"]
  • ["misc", "afoldl"]
  • ["misc", "allocation elision view"]
  • ["misc", "bitshift"]
  • ["misc", "foldl"]
  • ["misc", "issue 12165"]
  • ["misc", "iterators"]
  • ["misc", "julia"]
  • ["misc", "parse"]
  • ["misc", "repeat"]
  • ["misc", "splatting"]
  • ["problem", "chaosgame"]
  • ["problem", "fem"]
  • ["problem", "go"]
  • ["problem", "grigoriadis khachiyan"]
  • ["problem", "imdb"]
  • ["problem", "json"]
  • ["problem", "laplacian"]
  • ["problem", "monte carlo"]
  • ["problem", "raytrace"]
  • ["problem", "seismic"]
  • ["problem", "simplex"]
  • ["problem", "spellcheck"]
  • ["problem", "stockcorr"]
  • ["problem", "ziggurat"]
  • ["random", "collections"]
  • ["random", "randstring"]
  • ["random", "ranges"]
  • ["random", "sequences"]
  • ["random", "types"]
  • ["scalar", "acos"]
  • ["scalar", "acosh"]
  • ["scalar", "arithmetic"]
  • ["scalar", "asin"]
  • ["scalar", "asinh"]
  • ["scalar", "atan"]
  • ["scalar", "atan2"]
  • ["scalar", "atanh"]
  • ["scalar", "cbrt"]
  • ["scalar", "cos"]
  • ["scalar", "cosh"]
  • ["scalar", "exp2"]
  • ["scalar", "expm1"]
  • ["scalar", "fastmath"]
  • ["scalar", "floatexp"]
  • ["scalar", "intfuncs"]
  • ["scalar", "iteration"]
  • ["scalar", "mod2pi"]
  • ["scalar", "predicate"]
  • ["scalar", "rem_pio2"]
  • ["scalar", "sin"]
  • ["scalar", "sincos"]
  • ["scalar", "sinh"]
  • ["scalar", "tan"]
  • ["scalar", "tanh"]
  • ["shootout"]
  • ["simd"]
  • ["sort", "insertionsort"]
  • ["sort", "issorted"]
  • ["sort", "issues"]
  • ["sort", "length = 10"]
  • ["sort", "length = 100"]
  • ["sort", "length = 1000"]
  • ["sort", "length = 10000"]
  • ["sort", "length = 3"]
  • ["sort", "length = 30"]
  • ["sort", "mergesort"]
  • ["sort", "quicksort"]
  • ["sparse", "arithmetic"]
  • ["sparse", "constructors"]
  • ["sparse", "index"]
  • ["sparse", "matmul"]
  • ["sparse", "sparse matvec"]
  • ["sparse", "sparse solves"]
  • ["sparse", "transpose"]
  • ["string", "==(::AbstractString, ::AbstractString)"]
  • ["string", "==(::SubString, ::String)"]
  • ["string", "findfirst"]
  • ["string"]
  • ["string", "readuntil"]
  • ["string", "repeat"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "misc"]
  • ["tuple", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.12.0-DEV.983
Commit 2a56b7876b (2024-08-04 09:05 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.4 LTS
  uname: Linux 5.15.0-112-generic #122-Ubuntu SMP Thu May 23 07:48:21 UTC 2024 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3501 MHz     203990 s         86 s      54720 s   48625938 s          0 s
       #2  3499 MHz    2454923 s         64 s      65986 s   46381339 s          0 s
       #3  3501 MHz     144374 s         71 s      28417 s   48725383 s          0 s
       #4  3501 MHz     141309 s         64 s      34915 s   48700061 s          0 s
       #5  3503 MHz     117698 s         46 s      24327 s   48714696 s          0 s
       #6  3501 MHz     128990 s         30 s      32934 s   48477284 s          0 s
       #7  3503 MHz     135470 s         73 s      27859 s   48690422 s          0 s
       #8  3501 MHz     121553 s         42 s      22778 s   48734218 s          0 s
  Memory: 31.30148696899414 GB (24308.03125 MB free)
  Uptime: 4.89234449e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)