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JuliaLang / julia / 1306
93%

Build:
DEFAULT BRANCH: master
Ran 01 Nov 2026 11:27PM UTC
Jobs 3
Files 386
Run time 1min
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01 Nov 2026 08:35PM UTC coverage: 88.574% (+0.3%) from 88.292%
1306

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abstractarray: Copy same-shape arrays with one Cartesian loop (#64552)

When `dest` is `IndexCartesian` and `src` is `IndexLinear`, their `eachindex`
iterators differ, so `copyto_unaliased!` zipped a `CartesianIndices` with a
linear range into a single flat loop. That loop carries the multidimensional
index by hand and does not vectorize. When the axes are equal, iterate one
`CartesianIndices` and index both arrays with it instead: the inner loop is
then contiguous and vectorizes.

This is the path taken by `copyto!(view(B, 2:257, 2:257), A)` and by
`B[1:end-1, 1:end-1] .= A` (through the `identity` shortcut in
`broadcast!`), the `array/subarray_assign` runtime benchmark. On an M4 Pro
each goes from 22 µs to 8 µs for 256×256 `Float64`. Copies whose shapes
differ, such as a vector into a matrix view, keep the zipped loop.

4 of 4 new or added lines in 1 file covered. (100.0%)

592 existing lines in 12 files now uncovered.

94764 of 106988 relevant lines covered (88.57%)

358.15 hits per line

Coverage Regressions

Lines Coverage ∆ File
253
85.79
1.2% base/loading.jl
123
89.1
0.09% Compiler/src/typeinfer.jl
87
90.67
0.03% base/abstractarray.jl
45
88.48
14.05% base/precompilation.jl
30
92.34
0.17% Compiler/src/typelimits.jl
18
89.33
0.26% Compiler/src/typelattice.jl
14
94.34
0.25% base/range.jl
10
92.15
-2.91% base/lock.jl
7
93.25
0.01% base/array.jl
3
93.33
0.31% base/slicearray.jl
1
86.3
-0.19% stdlib/FileWatching/src/FileWatching.jl
1
71.05
-0.88% Compiler/src/abstractlattice.jl
Jobs
ID Job ID Ran Files Coverage
1306 macos - 1306 01 Nov 2026 11:27PM UTC 386
88.01
1306 linux - 1306 02 Nov 2026 12:16AM UTC 386
88.05
1306 windows - 1306 02 Nov 2026 12:19AM UTC 385
86.71
Source Files on build 1306
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  • Changed 21
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  • Coverage Changed 20
Coverage ∆ File Lines Relevant Covered Missed Hits/Line
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