'0.7.8'               | true
        '0.8.5'               | true
        '0.8.6'               | true
        '0.8.7'               | true
        '0.8.8'               | true
        '0.8.9'               | true
        '0.8.10'              | true
        '0.8.11'              | true
    }

    def "versions >= 0.7.6 support include no location classes #version -> #incNoLocationClassesSupport"() {

        static final SUPPORTS_JDK_17 = new JacocoVersion(0, 8, 7)
        static final SUPPORTS_JDK_18 = new JacocoVersion(0, 8, 8)
        static final SUPPORTS_JDK_20 = new JacocoVersion(0, 8, 9)
        static final SUPPORTS_JDK_21 = new JacocoVersion(0, 8, 11)

        private final int major
        private final int minor
        private final int patch

        JacocoVersion(String version) {

}

func main() {
	// 0-octals
	assert(0_1 == 01)
	assert(012 == 012)
	assert(0_1_2 == 012)
	assert(0_1_2i == complex(0, 12)) // decimal digits despite leading 0 for backward-compatibility
	assert(00089i == complex(0, 89)) // decimal digits despite leading 0 for backward-compatibility

	// decimals
	assert(1_000_000 == 1000000)
	assert(1_000i == complex(0, 1000))

	// hexadecimals
	assert(0x_1 == 0x1)
	assert(0x1_2 == 0x12)

		}
	}
	return l.emit(itemCharConstant)
}

// lexNumber scans a number: decimal, octal, hex, float, or imaginary. This
// isn't a perfect number scanner - for instance it accepts "." and "0x0.2"
// and "089" - but when it's wrong the input is invalid and the parser (via
// strconv) will notice.
func lexNumber(l *lexer) stateFn {
	if !l.scanNumber() {
		return l.errorf("bad number syntax: %q", l.input[l.start:l.pos])
	}

Since the previous version was 6.48.0, all changes since then are included.

==== Upgrade to JaCoCo 0.8.9

JaCoCo has been updated to https://www.jacoco.org/jacoco/trunk/doc/changes.html[0.8.9].

==== Plugin compatibility changes

	{3.5, 3.3233509704478426},
	{-0.5, -3.544907701811032},
	{-1.5, 2.363271801207355},
	{-2.5, -0.9453087204829419},
	{-3.5, 0.2700882058522691},
	{0.1, 9.51350769866873},
	{0.01, 99.4325851191506},
	{1e-08, 9.999999942278434e+07},
	{1e-16, 1e+16},
	{0.001, 999.4237724845955},
	{1e-16, 1e+16},
	{1e-308, 1e+308},
	{5.6e-309, 1.7857142857142864e+308},
	{5.5e-309, Inf(1)},
	{1e-309, Inf(1)},

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ght":0.003936191797380961,"touches":3,"min_t":1228781586,"max_t":1236205616,"mean_t":1231487250},{"name":"041-expected.png","kids":[],"cl_weight":0.0006270059426999707,"touches":2,"min_t":1228525763,"max_t":1236205616,"mean_t":1232365689},{"name":"089-expected.checksum","kids":[],"cl_weight":0.0006270059426999707,"touches":2,"min_t":1228525763,"max_t":1236205616,"mean_t":1232365689},{"name":"046-expected.png","kids":[],"cl_weight":0.0006270059426999707,"touches":2,"min_t":1228525763,"max_t":1236...

        [0, 0, 0, 3],
        [0, 0, 0, 0]],
       [[0, 4, 0, 0],
        [0, 0, 5, 0],
        [0, 0, 0, 6],
        [0, 0, 0, 0]]]

# A tridiagonal band (per batch).
diagonals = np.array([[[0, 8, 9],  # Input shape: (2, 2, 3)
                       [1, 2, 3],
                       [4, 5, 0]],
                      [[0, 2, 3],
                       [6, 7, 9],
                       [9, 1, 0]]])