# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-arm64:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/ml_build_arm64"
TFCI_INDEX_HTML_ENABLE=1

        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: |
            pyproject.toml
            uv.lock
      - name: Install Dependencies
        run: uv sync --locked --no-dev --group github-actions
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

        uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: |
            pyproject.toml
            uv.lock
      - name: Install Dependencies
        run: uv sync --locked --no-dev --group github-actions
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

      - name: Setup uv
        uses: astral-sh/setup-uv@v7
        with:
          cache-dependency-glob: |
            pyproject.toml
            uv.lock
      - run: uv sync --locked --no-dev --group github-actions
      - uses: actions/download-artifact@v8
        with:
          name: coverage-html
          path: htmlcov
          github-token: ${{ secrets.GITHUB_TOKEN }}

import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

    checkArgument(buckets > 0, "buckets must be positive: %s", buckets);
    LinearCongruentialGenerator generator = new LinearCongruentialGenerator(input);
    int candidate = 0;
    int next;

    // Jump from bucket to bucket until we go out of range
    while (true) {
      next = (int) ((candidate + 1) / generator.nextDouble());
      if (next >= 0 && next < buckets) {
        candidate = next;
      } else {

/**
 * Defines the testing module, for project helping test Gradle.
 */
fun Settings.testing(moduleConfiguration: ProjectScope.() -> Unit) =
    ProjectScope("testing", this).moduleConfiguration()

/**
 * Defines a bucket of unassigned projects.
 */
fun Settings.unassigned(moduleConfiguration: ProjectScope.() -> Unit) =

    MINIO_KMS_SECRET_KEY: "my-minio-key:OSMM+vkKUTCvQs9YL/CVMIMt43HFhkUpqJxTmGl6rYw="
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

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

    MINIO_DRIVE_MAX_TIMEOUT: "5s"
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

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

	disown $pid
	sleep 5

	if ! ps -p ${pid} 1>&2 >/dev/null; then
		echo "server1 log:"
		cat "${WORK_DIR}/server1.log"
		echo "FAILED"
		purge "$WORK_DIR"
		exit 1
	fi

	"${WORK_DIR}/mc" stat minio/bucket/testobj

	pkill minio
	sleep 3
}

function main() {
	start_port=$(shuf -i 10000-65000 -n 1)

	start_minio_5drive ${start_port}
}

function purge() {
	rm -rf "$1"
}

(main "$@")