)

var (
	version1_17 = &version.Info{
		Major:      "1",
		Minor:      "17",
		GitVersion: "1.17",
	}
	version1_8 = &version.Info{
		Major:      "1",
		Minor:      "8",
		GitVersion: "v1.8",
	}
	version1_18 = &version.Info{
		Major:      "1",
		Minor:      "18",
		GitVersion: "v1.18.5",
	}
	version1_19 = &version.Info{
		Major:      "1",
		Minor:      "19",
		GitVersion: "v1.19.4",
	}

                + artifactVersion.getBuildNumber() + "', '" + artifactVersion.getQualifier() + "'), ";
        assertEquals(major, artifactVersion.getMajorVersion(), parsed + "check major version");
        assertEquals(minor, artifactVersion.getMinorVersion(), parsed + "check minor version");

    if (bundleGroovy4) {
        labels += "Groovy 4.x"
        idParts += "Groovy4"
        descriptionParts += "bundling Groovy 4"
    }
    val vendor = buildJvm.vendor.displayName
    val version = buildJvm.version.major
    if (buildJvm != BuildToolBuildJvm) {
        idParts += "Java$jvmDescription"
        descriptionParts += "with Java$version $vendor"
    }
    labels += "Java$version $vendor"
    labels += "Linux"

        "packageBuild",
        extraParameters =
        listOf(
            stage.getBuildScanCustomValueParam(),
            buildScanTagParam("BuildDistributions"),
            "-PtestJavaVersion=${LINUX.buildJavaVersion.major}",
            "-Porg.gradle.java.installations.auto-download=false"
        ).joinToString(" ")
    )

    features {
        publishBuildStatusToGithub(model)
    }

    artifactRules = """$artifactRules

        timeout = 120,
        extraParameters = listOf(
            stage.getBuildScanCustomValueParam(),
            buildScanTagParam("SmokeTests"),
            "-PtestJavaVersion=${testJava.version.major}",
            "-PtestJavaVendor=${testJava.vendor.name}"
        ).joinToString(" ")
    )

typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.4.0, < 0.5.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.0.0.dev
tb-nightly ~= 2.18.0.a
# Test dependencies

	}

	if bytes.Equal(buf[4:8], []byte("1   ")) {
		// Set as 1,0.
		major, minor = 1, 0
	} else {
		major, minor = binary.LittleEndian.Uint16(buf[4:6]), binary.LittleEndian.Uint16(buf[6:8])
	}
	if major > xlVersionMajor {
		return buf[8:], major, minor, fmt.Errorf("xlMeta: unknown major version %d found", major)
	}

	return buf[8:], major, minor, nil
}

func isXL2V1Format(buf []byte) bool {

typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.4.0, < 0.5.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.0.0.dev
tb-nightly ~= 2.19.0.a
# Test dependencies

	}

	if bytes.Equal(buf[4:8], []byte("1   ")) {
		// Set as 1,0.
		major, minor = 1, 0
	} else {
		major, minor = binary.LittleEndian.Uint16(buf[4:6]), binary.LittleEndian.Uint16(buf[6:8])
	}
	if major > xlVersionMajor {
		return buf[8:], major, minor, fmt.Errorf("xlMeta: unknown major version %d found", major)
	}

	return buf[8:], major, minor, nil
}

const xlMetaInlineDataVer = 1

            }
        }
    }

    testsWithOs.forEachIndexed { index, testCoverage ->
        val extraParameters = functionalTestExtraParameters(listOf("FlakyTestQuarantine"), os, arch, testCoverage.testJvmVersion.major.toString(), testCoverage.vendor.name)
        val parameters = (
            buildToolGradleParameters(true) +
                listOf(
                    "-PflakyTests=only",
                    "-x", ":docs:platformTest",