Compile the given function f for the argument tuple (of types) args, but do not execute it.


  1. Precompile a function with specific argument types:

    julia> function add_numbers(x::Int, y::Int)
              return x + y
    julia> precompile(add_numbers, (Int, Int))

    This example precompiles the function add_numbers for the argument types Int and Int, without executing it. This can help improve performance by precompiling the function for specific argument types.

  2. Precompile a function with multiple argument types:

    julia> function calculate_sum(x, y)
              return x + y
    julia> precompile(calculate_sum, (Int, Float64))

    In this example, the function calculate_sum is precompiled with the argument types (Int, Float64).

  3. Precompile a function with a tuple of argument types:

    julia> function my_function(x::String, y::Int, z::Float64)
              return "$x - $y - $z"
    julia> precompile(my_function, (String, Int, Float64))

    Here, the function my_function is precompiled with the argument types (String, Int, Float64).

Common mistake example:

julia> function my_function(x, y)
           return x + y
julia> precompile(my_function, (Int, Int))
ERROR: MethodError: no method matching +(::Any, ::Any)

In this example, the function my_function has not been defined with specific argument types, resulting in a MethodError when trying to precompile it with (Int, Int) argument types. It's important to annotate the function arguments with their respective types to ensure correct precompilation.

See Also

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