In this example, we're only supporting arrays of ints, but we could for example implement a printing function which supports all primitive types.
To make calling our function easier, we can add a convenience typed wrapper:
template <typename T> +}
In this example, we're only supporting arrays of int32_ts, but we could for example implement a printing function which supports all primitive types.
To make calling our function easier, we can add a convenience typed wrapper:
template <typename T> void printArray(const T& array) { using cubos::core::reflection::reflect; @@ -90,7 +90,7 @@// Element 4: 5 // Element 5: 8 // Element 6: 13 -}
Its important to note that both the includes above are necessary, as we're reflecting the type std::vector<int>, which also means reflecting int.
Executing the sample should output:
// Array with 7 elements of type int32_t +}
Its important to note that both the includes above are necessary, as we're reflecting the type std::vector<int32_t>, which also means reflecting int32_t.
Executing the sample should output:
// Array with 7 elements of type int32_t // Element 0: 1 // Element 1: 1 // Element 2: 2