You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: letter_test.go
    path of file: ./repos/difftastic/vendored_parsers/tree-sitter-go/examples
    
    the code of the file until where you have to start completion: // Copyright 2009 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package un
    
func TestCalibrate(t *testing.T) {
	if !*calibrate {
		return
	}

	if runtime.GOARCH == "amd64" {
		fmt.Printf("warning: running calibration on %s\n", runtime.GOARCH)
	}

	// Find the point where binary search wins by more than 10%.
	// The 10% bias gives linear search an edge when they're close,
	// because on predominantly ASCII inputs linear search is even
	// better than our benchmarks measure.
	n := sort.Search(64, func(n int) bool {
		tab := fakeTable(n)
		blinear := func(b *testing.B) {
			tab := tab
			max := n*5 + 20
			for i := 0; i < b.N; i++ {
				for j := 0; j <= max; j++ {
					linear(tab, uint16(j))
				}
			}
		}
		bbinary := func(b *testing.B) {
			tab := tab
			max := n*5 + 20
			for i := 0; i < b.N; i++ {
				for j := 0; j <= max; j++ {
					binary(tab, uint16(j))
				}
			}
		}
		bmlinear := testing.Benchmark(blinear)
		bmbinary := testing.Benchmark(bbinary)
		fmt.Printf("n=%d: linear=%d binary=%d\n", n, bmlinear.NsPerOp(), bmbinary.NsPerOp())
		return bmlinear.NsPerOp()*100 > bmbinary.NsPerOp()*110
	})
	fmt.Printf("calibration: linear cutoff = %d\n", n)
}