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When testing multiple functions with similar signatures and return values, manually writing repetitive tests can be tedious. Reflection offers a solution to this problem, allowing you to write a single test that dynamically calls and evaluates these functions.
Using Reflection for Function Testing
To utilize reflection for function testing, follow these steps:
Example Usage
The following code demonstrates how to test multiple functions named "Func1", "Func2", and "Func3" using reflection:
<code class="go">func TestFunc(t *testing.T) { var funcNames = []string{"Func1", "Func2", "Func3"} stype := reflect.ValueOf(s) for _, fname := range funcNames { sfunc := stype.MethodByName(fname) ret := sfunc.Call([]reflect.Value{}) val := ret[0].Int() err := ret[1].Interface().(error) if val < 1 { t.Error(fname + " should return positive value") } if !err.IsNil() { t.Error(fname + " shouldn't err") } } }</code>
Handling Non-Existent Functions
Note that calling the test function with a non-existent function name will result in a panic. To handle this scenario, you can add a recovery mechanism to the test function:
<code class="go">for _, fname := range funcNames { defer func() { if x := recover(); x != nil { t.Error("TestFunc paniced for", fname, ": ", x) } }() sfunc := stype.MethodByName(fname) ... }</code>
By leveraging reflection, you can effectively automate the testing of functions with similar signatures, reducing the need for repetitive test code.
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