object := gcs.client.Bucket(gcs.Bucket).Object(gcs.getDest(key)).ReadCompressed(true)

	r, err = object.NewRangeReader(ctx, opts.startOffset, opts.length)
	if err != nil {
		return nil, gcsToObjectError(err, gcs.Bucket, key)
	}
	return r, nil
}

func (gcs *warmBackendGCS) Remove(ctx context.Context, key string, rv remoteVersionID) error {
	err := gcs.client.Bucket(gcs.Bucket).Object(gcs.getDest(key)).Delete(ctx)

        applyRule<DependencyRemovalByNameRule>(libs.samplesCheck, setOf("slf4j-simple"))

        // GCS transitively depends on commons-logging.
        // Ensure jcl-over-slf4j is pulled in when we use GCS so it can conflict.
        applyRule<DependencyAdditionRule>(libs.gcs, libs.jclToSlf4j)

        // asciidoctorj depends on a lot of stuff, which causes `Can't create process, argument list too long` on Windows

	switch tier.Type {
	case madmin.S3:
		d, err = newWarmBackendS3(*tier.S3, tier.Name)
	case madmin.Azure:
		d, err = newWarmBackendAzure(*tier.Azure, tier.Name)
	case madmin.GCS:
		d, err = newWarmBackendGCS(*tier.GCS, tier.Name)
	case madmin.MinIO:
		d, err = newWarmBackendMinIO(*tier.MinIO, tier.Name)
	default:
		return nil, errTierTypeUnsupported
	}
	if err != nil {
		tierLogIf(ctx, err)

          "ear",
          "instrumentation-agent-services",
          "logging",
          "messaging",
          "plugins-java-base",
          "problems",
          "problems-api",
          "resources-gcs",
          "war"
        ],
        "parallelizationMethod": {
          "name": "TestDistribution"
        }
      },
      {
        "subprojects": [
          "build-cache-http",

**Libtensorflow Windows GPU** | Status Temporarily Unavailable                                                                                                                                                   | [Nightly Binary](https://storage.googleapis.com/libtensorflow-nightly/prod/tensorflow/release/windows/latest/gpu/windows_gpu_libtensorflow_binaries.tar.gz) [Official GCS](https://storage.googleapis.com/tensorflow/)...

# limitations under the License.
# ==============================================================================
# This script uploads all staged artifacts from all previous builds in the same
# job chain to GCS and PyPI.
source "${BASH_SOURCE%/*}/utilities/setup.sh"

# Calculate the version number for choosing the final directory name. This adds
# "-devYYYYMMDD" to the end of the version string for nightly builds.

scipy >= 1.13.0, < 1.15.0
requests >= 2.31.0
packaging==23.2
setuptools==78.1.1
jax==0.4.7
zstandard==0.23.0
# The dependencies below are needed for TF wheel testing.
tensorflow-io-gcs-filesystem==0.37.1 ; python_version <= "3.12"
libclang >= 13.0.0
google_pasta ~= 0.2

# ==============================================================================
# Release jobs are very basic. They don't use any caching or RBE,
# but they do upload logs to resultstore.
# IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to
# pretend the path is a directory.
TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account"

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to
# pretend the path is a directory.
# 1. Upload nightlies
TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account"

scipy >= 1.13.0, < 1.15.0
requests >= 2.31.0
packaging==23.2
setuptools==78.1.1
jax==0.4.7
zstandard==0.23.0
# The dependencies below are needed for TF wheel testing.
tensorflow-io-gcs-filesystem==0.37.1 ; python_version <= "3.12"
libclang >= 13.0.0
google_pasta ~= 0.2