Hands-On Design Patterns and Best Practices with Julia

Supporting functions that take multiple arguments

In practice, we would probably encounter functions that are more complex than this. For example, the function that requires speed-up probably requires multiple arguments and possibly keyword arguments as well. Our memoize function in the previous section assumes a single argument, so it would not work properly.

A simple way to fix this is illustrated as follows:

function memoize(f)    memo = Dict()    (args...; kwargs...) -> begin        x = (args, kwargs)        if haskey(memo, x)            return memo[x]        else            value = f(args...; kwargs...)            memo[x] = value            return value        end    endend

The anonymous function being returned now covers any number of positional arguments and keyword arguments as specified in the splatted arguments,  ...