Your code needs to run on [all versions of Java that Gradle supports](platforms/documentation/docs/src/docs/userguide/releases/compatibility.adoc) and across all supported operating systems (macOS, Windows, Linux). The Gradle CI system will verify this, but here are some pointers that will avoid surprises:

* Be careful when using features introduced in Java 9 or later. Some parts of Gradle still need to run on Java 8.

 * limitations under the License.
 */

plugins {
    id("java-library")
    id("groovy-gradle-plugin")
    id("gradlebuild.code-quality")
    id("gradlebuild.ci-reporting")
    id("gradlebuild.test-retry")
    id("gradlebuild.private-javadoc")
}

dependencies {
    api(platform("gradlebuild:build-platform"))
    implementation("gradlebuild:gradle-plugin")

function resultstore_extract {
  local PYTHON_BIN XML_PATH
  PYTHON_BIN=$(which python3 2>/dev/null || which python)
  XML_PATH="$TFCI_OUTPUT_DIR/Bazel_Test_and_Build_Results/sponge_log.xml"

  "$PYTHON_BIN" \
    "$TFCI_GIT_DIR/ci/official/utilities/extract_resultstore_links.py" \
    "$TFCI_OUTPUT_DIR/script.log" \
    --print \
    --xml-out-path "$XML_PATH"
}

if grep -q "Streaming build results to" "$TFCI_OUTPUT_DIR/script.log"; then

x-minio-common: &minio-common
  image: quay.io/minio/minio:${RELEASE}
  command: server http://site2-minio{1...4}/data{1...2}
  environment:
    - MINIO_PROMETHEUS_AUTH_TYPE=public
    - CI=true

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  site2-minio1:
    <<: *minio-common

TFCI_ARTIFACT_FINAL_PYPI_ENABLE=1
TFCI_ARTIFACT_LATEST_GCS_URI="gs://tensorflow/nightly/latest/"
TFCI_ARTIFACT_STAGING_GCS_ENABLE=1
TFCI_ARTIFACT_STAGING_GCS_URI="gs://tensorflow-ci-staging/staging/nightly/$(git rev-parse HEAD)/"

# 2. The internal version numbers get changed
TFCI_NIGHTLY_UPDATE_VERSION_ENABLE=1

# 3. Push results to public build cache (unique cache for MacOS)

# The service account used below is already present in iam configuration getting imported
export MC_HOST_myminio1="http://dillon-service-2:dillon-service-2@localhost:22000"

# Start MinIO instance
export CI=true

if [ ! -f ./mc ]; then
	wget --quiet -O mc https://dl.minio.io/client/mc/release/linux-amd64/mc &&
		chmod +x mc
fi

mc -v

# Start openid server
(
	cd ./minio-iam-testing
	make docker-images

(./kes server --dev 2>&1 >kes-server.log) &
kes_pid=$!
sleep 5s
API_KEY=$(grep "API Key" <kes-server.log | awk -F" " '{print $3}')
(openssl s_client -connect 127.0.0.1:7373 2>/dev/null 1>public.crt)

export CI=true
export MINIO_KMS_KES_ENDPOINT=https://127.0.0.1:7373
export MINIO_KMS_KES_API_KEY="${API_KEY}"
export MINIO_KMS_KES_KEY_NAME=minio-default-key
export MINIO_KMS_KES_CAPATH=public.crt

else
  tfrun bazel $TFCI_BAZEL_BAZELRC_ARGS build $TFCI_BAZEL_COMMON_ARGS --config=windows_libtensorflow_build
fi

tfrun bash ./ci/official/utilities/repack_libtensorflow.sh "$TFCI_OUTPUT_DIR" "$TFCI_LIB_SUFFIX"

if [[ "$TFCI_ARTIFACT_STAGING_GCS_ENABLE" == 1 ]]; then
  # Note: -n disables overwriting previously created files.

    "nvidia_wheel_versions_repository",
    "python_wheel_version_suffix_repository",
)

nvidia_wheel_versions_repository(
    name = "nvidia_wheel_versions",
    versions_source = "//ci/official/requirements_updater:nvidia-requirements.txt",
)

python_wheel_version_suffix_repository(name = "tf_wheel_version_suffix")

load(

                runningInstallTask.get() -> "from current time because installing"
                runningDocsTestTask.get() -> "from current time because testing docs"
                runningOnCi.get() -> "from current time because CI"
                else -> "from current date"
            }
        }

    private
    fun Date.withoutTime(): Date = SimpleDateFormat("yyyy-MM-dd").run {
        parse(format(this@withoutTime))
    }