This question on stackoverflow uses Julia 0.6.1, as shown here:
The convolution function in Julia has the following behaviour:
_
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_) | Documentation: https://docs.julialang.org
_ _ _| |_ __ _ | Type "?help" for help.
| | | | | | |/ _` | |
| | |_| | | | (_| | | Version 0.6.1 (2017-10-24 22:15 UTC)
_/ |\__'_|_|_|\__'_| | Official http://julialang.org/ release
|__/ | x86_64-pc-linux-gnu
julia> conv([1,2,NaN],[1])
3-element Array{Float64,1}:
NaN
NaN
NaN
The same thing in Julia 1.0.0 produces the following Error output:
_
_ _ _(_)_ | Documentation: https://docs.julialang.org
(_) | (_) (_) |
_ _ _| |_ __ _ | Type "?" for help, "]?" for Pkg help.
| | | | | | |/ _` | |
| | |_| | | | (_| | | Version 1.0.0 (2018-08-08)
_/ |\__'_|_|_|\__'_| | Official https://julialang.org/ release
|__/ |
julia> conv([1,2,NaN],[1])
ERROR: UndefVarError: conv not defined
Stacktrace:
[1] top-level scope at none:0
How does one access the conv function in Julia 1.0.0?