// CANON-DAG:         [[VAL_4:%.*]] = arith.constant dense<1> : tensor<i32>
// CANON-DAG:         [[VAL_5:%.*]] = "tf.Const"() <{value = dense<2.560000e+02> : tensor<256x256xf32>}> : () -> tensor<?x?xf32>
// CANON:             [[VAL_14:%.*]] = "tf.AddV2"([[VAL_12]], [[VAL_4]])
// CANON:             [[VAL_15:%.*]] = "tf.AddV2"([[VAL_13]], [[VAL_5]])

			}
		})
	}

	svals := []S{
		{1, "a"},
		{2, "a"},
		{1, "b"},
		{2, "b"},
	}

	gotMin := MinFunc(svals, cmpS)
	wantMin := S{1, "a"}
	if gotMin != wantMin {
		t.Errorf("MinFunc(%v) = %v, want %v", svals, gotMin, wantMin)
	}

	gotMax := MaxFunc(svals, cmpS)
	wantMax := S{2, "a"}
	if gotMax != wantMax {

// CHECK:           %[[VAL_4:.*]] = "tfl.quantize"(%[[VAL_3]]) <{qtype = tensor<?x2048x!quant.uniform<i8:f32, 9.000000e-01:-128>>}> : (tensor<?x2048x!quant.uniform<i8:f32, 6.000000e-01:-128>>) -> tensor<?x2048x!quant.uniform<i8:f32, 9.000000e-01:-128>>
// CHECK:           return %[[VAL_4]] : tensor<?x2048x!quant.uniform<i8:f32, 9.000000e-01:-128>>

    private final byte[] ctype;

    private static byte[] defaultCtype = new byte[256];

    private final String str;

    private int colno = 0;

    private int ttype = TT_NOTHING;

    private String sval;

    private char[] buf = new char[20];

    private int peekc = NEED_CHAR;

    private byte peekct = 0;

    static {
        setup(defaultCtype);
    }

    /**