Remove macOS 14 support

[christiangnrd]

No description provided.

[codecov]

Codecov Report

❌ Patch coverage is 92.85714% with 1 line in your changes missing coverage. Please review.
✅ Project coverage is 86.80%. Comparing base (8fe5ff3) to head (6df0a24).

Files with missing lines	Patch %	Lines
src/initialization.jl	66.66%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #942      +/-   ##
==========================================
+ Coverage   86.72%   86.80%   +0.08%     
==========================================
  Files          77       77              
  Lines        5485     5481       -4     
==========================================
+ Hits         4757     4758       +1     
+ Misses        728      723       -5     

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[github-actions]

Metal Benchmarks

Details

Benchmark suite	Current: 6df0a24	Previous: 8fe5ff3	Ratio
array/accumulate/Float32/1d	388916 ns	392083 ns	0.99
array/accumulate/Float32/dims=1	367375 ns	368625 ns	1.00
array/accumulate/Float32/dims=1L	8768750 ns	8771834 ns	1.00
array/accumulate/Float32/dims=2	429125 ns	432166 ns	0.99
array/accumulate/Float32/dims=2L	2527875 ns	2019667 ns	1.25
array/accumulate/Int64/1d	809750 ns	807750 ns	1.00
array/accumulate/Int64/dims=1	908167 ns	908875 ns	1.00
array/accumulate/Int64/dims=1L	9455041 ns	9451333 ns	1.00
array/accumulate/Int64/dims=2	1210791 ns	1049875 ns	1.15
array/accumulate/Int64/dims=2L	6409750 ns	6410375 ns	1.00
array/broadcast	229208 ns	229084 ns	1.00
array/construct	2292 ns	2250 ns	1.02
array/permutedims/2d	435375 ns	435542 ns	1.00
array/permutedims/3d	996875 ns	998542 ns	1.00
array/permutedims/4d	1083000 ns	996834 ns	1.09
array/private/copy	227167 ns	228709 ns	0.99
array/private/copyto!/cpu_to_gpu	212375 ns	213917 ns	0.99
array/private/copyto!/gpu_to_cpu	212417 ns	216750 ns	0.98
array/private/copyto!/gpu_to_gpu	219417 ns	220708 ns	0.99
array/private/iteration/findall/bool	1036792 ns	1030750 ns	1.01
array/private/iteration/findall/int	1204417 ns	1206833 ns	1.00
array/private/iteration/findfirst/bool	1133291 ns	1144541 ns	0.99
array/private/iteration/findfirst/int	1151541 ns	1150584 ns	1.00
array/private/iteration/findmin/1d	1206208 ns	1201166 ns	1.00
array/private/iteration/findmin/2d	1029500 ns	1025458 ns	1.00
array/private/iteration/logical	1629291 ns	1636291 ns	1.00
array/private/iteration/scalar	1379584 ns	1406292 ns	0.98
array/random/rand/Float32	416750 ns	412000 ns	1.01
array/random/rand/Int64	493833 ns	495041 ns	1.00
array/random/rand!/Float32	332708 ns	404417 ns	0.82
array/random/rand!/Int64	429250 ns	420458 ns	1.02
array/random/randn/Float32	388000 ns	389333 ns	1.00
array/random/randn!/Float32	376334 ns	375958 ns	1.00
array/reductions/mapreduce/Float32/1d	449416 ns	440250 ns	1.02
array/reductions/mapreduce/Float32/dims=1	355083 ns	355416 ns	1.00
array/reductions/mapreduce/Float32/dims=1L	603500 ns	619292 ns	0.97
array/reductions/mapreduce/Float32/dims=2	357583 ns	360625 ns	0.99
array/reductions/mapreduce/Float32/dims=2L	1218917 ns	1239958 ns	0.98
array/reductions/mapreduce/Int64/1d	615750 ns	545167 ns	1.13
array/reductions/mapreduce/Int64/dims=1	637583 ns	637833 ns	1.00
array/reductions/mapreduce/Int64/dims=1L	1011708 ns	1010083 ns	1.00
array/reductions/mapreduce/Int64/dims=2	789084 ns	792000 ns	1.00
array/reductions/mapreduce/Int64/dims=2L	2194666 ns	2206167 ns	0.99
array/reductions/reduce/Float32/1d	436000 ns	441125 ns	0.99
array/reductions/reduce/Float32/dims=1	355042 ns	352375 ns	1.01
array/reductions/reduce/Float32/dims=1L	611000 ns	613083 ns	1.00
array/reductions/reduce/Float32/dims=2	235208 ns	246166 ns	0.96
array/reductions/reduce/Float32/dims=2L	484375 ns	487375 ns	0.99
array/reductions/reduce/Int64/1d	638167 ns	609250 ns	1.05
array/reductions/reduce/Int64/dims=1	635500 ns	642125 ns	0.99
array/reductions/reduce/Int64/dims=1L	1010208 ns	1006167 ns	1.00
array/reductions/reduce/Int64/dims=2	268875 ns	267875 ns	1.00
array/reductions/reduce/Int64/dims=2L	672875 ns	674542 ns	1.00
array/shared/copy	130583 ns	128250 ns	1.02
array/shared/copyto!/cpu_to_gpu	38083 ns	36917 ns	1.03
array/shared/copyto!/gpu_to_cpu	37833 ns	36458 ns	1.04
array/shared/copyto!/gpu_to_gpu	38208 ns	36875 ns	1.04
array/shared/iteration/findall/bool	1029708 ns	1032416 ns	1.00
array/shared/iteration/findall/int	1204208 ns	1203542 ns	1.00
array/shared/iteration/findfirst/bool	908208 ns	965042 ns	0.94
array/shared/iteration/findfirst/int	982292 ns	980167 ns	1.00
array/shared/iteration/findmin/1d	1055000 ns	1063709 ns	0.99
array/shared/iteration/findmin/2d	1033584 ns	1036458 ns	1.00
array/shared/iteration/logical	1496167 ns	1501792 ns	1.00
array/shared/iteration/scalar	3812.5 ns	3854.125 ns	0.99
array/sorting/1d	2099792 ns	2099959 ns	1.00
array/sorting/2d	8337042 ns	8336791 ns	1.00
integration/byval/reference	1120291 ns	1113916 ns	1.01
integration/byval/slices=1	1122958 ns	1107125 ns	1.01
integration/byval/slices=2	2015583 ns	2033875 ns	0.99
integration/byval/slices=3	6439375 ns	6550917 ns	0.98
integration/metaldevrt	390250 ns	392292 ns	0.99
kernel/indexing	211500 ns	215125 ns	0.98
kernel/indexing_checked	391667 ns	393375 ns	1.00
kernel/launch	1791.7 ns	1816.6 ns	0.99
kernel/rand	335041 ns	403291 ns	0.83
latency/import	1778898583 ns	1785689000 ns	1.00
latency/precompile	26084902042 ns	26156114458 ns	1.00
latency/ttfp	2276033417 ns	2284072959 ns	1.00
metal/synchronization/context	558.5989304812834 ns	547.6190476190476 ns	1.02
metal/synchronization/stream	346.4537037037037 ns	356.52358490566036 ns	0.97

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

[maleadt]

Conceptually LGTM; I didn't review the diff in detail.