I was writing a function that would ideally be written as function ideal(supervec::Array{Array{Int64,1},1}, vec::Array{Int64,1}) return vcat(supervec[vec]) end But this takes a bit more time than I think is unnecessary julia> using BenchmarkTools julia> @btime ideal([[1],[2]],[1,2]) 23…

You could change it (both) to a while loop, then there is no yellow.

Type stability on Arrays of Arrays in nested for loops?

lmiq February 19, 2021, 2:57pm 2

2 Likes

Topic		Replies	Views
How to prevent type instability in for loops? Performance question	13	1906	October 30, 2019
Code stability with for loop New to Julia	1	1081	November 25, 2019
Suggestions for a good example of a realistic type instability for Julia demo? General Usage	10	1091	April 17, 2019
Improving performance elegantly - type stability General Usage type-stability	20	1476	January 13, 2019
Type stability of different for loops General Usage question	3	481	November 12, 2018