Remove quirks that never apply

[maleadt]

Base.Checked.throw_overflowerr_negation and Base.Math.throw_exp_domainerror take a single argument on every supported version of Julia (1.10 through nightly), so the overrides in quirks.jl with more arguments never matched. Found by checking the signature of every method in the overlay method table against the methods in Base; these were the only ones that don't match anything. The dead throw_overflowerr_negation override exists in the other back-ends too, which get the same fix.

[luraess]

cscs-ci run

[github-actions]

AMDGPU.jl Benchmarks

Details

Benchmark suite	Current: bb633bb	Previous: 8a66547	Ratio
amdgpu/synchronization/context/device	545 ns	550 ns	0.99
amdgpu/synchronization/stream/blocking	215 ns	222.5 ns	0.97
amdgpu/synchronization/stream/nonblocking	297.5 ns	307.5 ns	0.97
applications/bitonic_sort	1150938.5 ns	1160103.75 ns	0.99
applications/convolution	72886 ns	72376 ns	1.01
applications/floyd_warshall	9065267.5 ns	9100856.25 ns	1.00
applications/histogram	786131 ns	798998.75 ns	0.98
applications/prefix_sum	190420.25 ns	190535 ns	1.00
array/accumulate/Float32/1d	75426.25 ns	79346 ns	0.95
array/accumulate/Float32/dims=1	282444 ns	271536.25 ns	1.04
array/accumulate/Float32/dims=1L	80528.5 ns	72536 ns	1.11
array/accumulate/Float32/dims=2	75573.5 ns	74041 ns	1.02
array/accumulate/Float32/dims=2L	3028025.25 ns	2834326.75 ns	1.07
array/accumulate/Int64/1d	78841.25 ns	79098.5 ns	1.00
array/accumulate/Int64/dims=1	249408.5 ns	248393.25 ns	1.00
array/accumulate/Int64/dims=1L	89253.75 ns	89128.75 ns	1.00
array/accumulate/Int64/dims=2	76153.75 ns	76041 ns	1.00
array/accumulate/Int64/dims=2L	3393062.75 ns	3139866 ns	1.08
array/broadcast	75808.5 ns	50443.25 ns	1.50
array/construct	2017.5 ns	2247.5 ns	0.90
array/copy	40168.25 ns	39278 ns	1.02
array/copyto!/cpu_to_gpu	85933.75 ns	85676.25 ns	1.00
array/copyto!/gpu_to_cpu	85921.25 ns	85591.25 ns	1.00
array/copyto!/gpu_to_gpu	58665.75 ns	58288.25 ns	1.01
array/iteration/findall/bool	133314.25 ns	125954.25 ns	1.06
array/iteration/findall/int	148749.75 ns	146617 ns	1.01
array/iteration/findfirst/bool	157779.75 ns	155292.25 ns	1.02
array/iteration/findfirst/int	191862.75 ns	189260 ns	1.01
array/iteration/findmin/1d	101334 ns	103258.75 ns	0.98
array/iteration/findmin/2d	90733.75 ns	90081.25 ns	1.01
array/iteration/logical	229988.25 ns	226565.5 ns	1.02
array/iteration/scalar	309776.75 ns	295931.5 ns	1.05
array/permutedims/2d	48318.25 ns	70736 ns	0.68
array/permutedims/3d	69938.5 ns	69253.5 ns	1.01
array/permutedims/4d	75806 ns	50278.25 ns	1.51
array/random/rand/Float32	46508.25 ns	40065.75 ns	1.16
array/random/rand/Int64	56003.25 ns	48863 ns	1.15
array/random/rand!/Float32	45865.75 ns	65541 ns	0.70
array/random/rand!/Int64	53565.75 ns	69623.25 ns	0.77
array/random/randn/Float32	71671 ns	71161 ns	1.01
array/random/randn!/Float32	69853.5 ns	58721 ns	1.19
array/reductions/mapreduce/Float32/1d	79448.75 ns	81621 ns	0.97
array/reductions/mapreduce/Float32/dims=1	73931 ns	56660.75 ns	1.30
array/reductions/mapreduce/Float32/dims=1L	838694.25 ns	844514.25 ns	0.99
array/reductions/mapreduce/Float32/dims=2	75141 ns	74073.5 ns	1.01
array/reductions/mapreduce/Float32/dims=2L	137517 ns	136524.5 ns	1.01
array/reductions/mapreduce/Int64/1d	82716 ns	81663.5 ns	1.01
array/reductions/mapreduce/Int64/dims=1	74018.5 ns	73933.5 ns	1.00
array/reductions/mapreduce/Int64/dims=1L	845047 ns	839174.25 ns	1.01
array/reductions/mapreduce/Int64/dims=2	76866 ns	75486.25 ns	1.02
array/reductions/mapreduce/Int64/dims=2L	138527 ns	137611.75 ns	1.01
array/reductions/reduce/Float32/1d	82571 ns	81541.25 ns	1.01
array/reductions/reduce/Float32/dims=1	75416.25 ns	70296 ns	1.07
array/reductions/reduce/Float32/dims=1L	841237 ns	836984.25 ns	1.01
array/reductions/reduce/Float32/dims=2	76873.5 ns	75123.5 ns	1.02
array/reductions/reduce/Float32/dims=2L	137196.75 ns	136774.25 ns	1.00
array/reductions/reduce/Int64/1d	82483.75 ns	81368.75 ns	1.01
array/reductions/reduce/Int64/dims=1	74388.5 ns	74831 ns	0.99
array/reductions/reduce/Int64/dims=1L	844804.25 ns	844554 ns	1.00
array/reductions/reduce/Int64/dims=2	75916 ns	75411.25 ns	1.01
array/reductions/reduce/Int64/dims=2L	138384.5 ns	137047 ns	1.01
array/reverse/1d	44540.75 ns	43458 ns	1.02
array/reverse/1dL	71876 ns	70606 ns	1.02
array/reverse/1dL_inplace	56653.25 ns	79671 ns	0.71
array/reverse/1d_inplace	51425.5 ns	60390.75 ns	0.85
array/reverse/2d	48308.25 ns	47625.75 ns	1.01
array/reverse/2dL	75028.75 ns	57993.5 ns	1.29
array/reverse/2dL_inplace	79863.75 ns	79096 ns	1.01
array/reverse/2d_inplace	63688.25 ns	61191 ns	1.04
array/sorting/1d	326572 ns	326449.5 ns	1.00
gemm/tiled	1933772.25 ns	1961659.75 ns	0.99
gemm/tiled_unbounded	1937149.75 ns	1960334.75 ns	0.99
integration/byval/reference	40191 ns	39821 ns	1.01
integration/byval/slices=1	40010 ns	40830 ns	0.98
integration/byval/slices=2	135712 ns	130842 ns	1.04
integration/byval/slices=3	241154 ns	241884 ns	1.00
integration/volumerhs	4876789 ns	4900148 ns	1.00
kernel/indexing	33940.5 ns	41880.5 ns	0.81
kernel/indexing_checked	43253 ns	37075.5 ns	1.17
kernel/launch	1245 ns	1130 ns	1.10
kernel/rand	69476 ns	70343.5 ns	0.99
latency/import	1453418259 ns	1456646355 ns	1.00
latency/precompile	22642849628 ns	22642954217 ns	1.00
latency/ttfp	2241561152 ns	2251455325 ns	1.00
stencil/diffusion3d	1614530.25 ns	1611230 ns	1.00
stencil/diffusion3d_checked	1658423.25 ns	1655470.5 ns	1.00

This comment was automatically generated by workflow using github-action-benchmark.