Additional arguments to pass to minio binary extraArgs: [] ## Port number for MinIO S3 API Access minioAPIPort: "9000" ## Port number for MinIO Browser COnsole Access minioConsolePort: "9001" ## Update strategy for Deployments DeploymentUpdate: type: RollingUpdate maxUnavailable: 0 maxSurge: 100% ## Update strategy for StatefulSets StatefulSetUpdate: updateStrategy: RollingUpdate ## Pod priority settings ## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/ ## priorityClassName:...

Additional arguments to pass to minio binary extraArgs: [] ## Port number for MinIO S3 API Access minioAPIPort: "9000" ## Port number for MinIO Browser COnsole Access minioConsolePort: "9001" ## Update strategy for Deployments DeploymentUpdate: type: RollingUpdate maxUnavailable: 0 maxSurge: 100% ## Update strategy for StatefulSets StatefulSetUpdate: updateStrategy: RollingUpdate ## Pod priority settings ## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/ ## priorityClassName:...

Additional arguments to pass to minio binary extraArgs: [] ## Port number for MinIO S3 API Access minioAPIPort: "9000" ## Port number for MinIO Browser COnsole Access minioConsolePort: "9001" ## Update strategy for Deployments DeploymentUpdate: type: RollingUpdate maxUnavailable: 0 maxSurge: 100% ## Update strategy for StatefulSets StatefulSetUpdate: updateStrategy: RollingUpdate ## Pod priority settings ## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/ ## priorityClassName:...

    }

    // PUT /api/admin/fileauth/setting
    /**
     * Updates an existing file authentication setting.
     *
     * @param body file authentication setting data to update
     * @return JSON response with updated setting ID and status
     */
    @Execute
    public JsonResponse<ApiResult> put$setting(final EditBody body) {
        validateApi(body, messages -> {});

    }

    /**
     * Updates an existing scheduler setting.
     *
     * @param body the scheduler data to update
     * @return JSON response containing the updated scheduler setting ID
     */
    // PUT /api/admin/scheduler/setting
    @Execute
    public JsonResponse<ApiResult> put$setting(final EditBody body) {

   */
  /*
   * TODO(cpovirk): or we could make HOLES_FORBIDDEN a feature. Or we could declare that
   * implementations are permitted to throw IAE if a hole is requested, and we could update
   * test*Hole to permit IAE. (But might this ignore genuine bugs?) But see the TODO above
   * testLower, which could make this all unnecessary
   */
  public static Method[] getHoleMethods() {
    return new Method[] {

       "  Write-Error 'Investigate or delete %WRAPPER_JAR% to attempt a clean download.';"^
       "  Write-Error 'If you updated your Maven version, you need to update the specified wrapperSha256Sum property.';"^
       "  exit 1;"^
       "}"^
       "}"
    if ERRORLEVEL 1 goto error
)

@REM Provide a "standardized" way to retrieve the CLI args that will

Additional arguments to pass to minio binary extraArgs: [] ## Port number for MinIO S3 API Access minioAPIPort: "9000" ## Port number for MinIO Browser COnsole Access minioConsolePort: "9001" ## Update strategy for Deployments DeploymentUpdate: type: RollingUpdate maxUnavailable: 0 maxSurge: 100% ## Update strategy for StatefulSets StatefulSetUpdate: updateStrategy: RollingUpdate ## Pod priority settings ## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/ ## priorityClassName:...

			online++
		}
	}
	return online
}

// CopyObject - copy object source object to destination object.
// if source object and destination object are same we only
// update metadata.
func (er erasureObjects) CopyObject(ctx context.Context, srcBucket, srcObject, dstBucket, dstObject string, srcInfo ObjectInfo, srcOpts, dstOpts ObjectOptions) (oi ObjectInfo, err error) {
	if !dstOpts.NoAuditLog {

        control flow.
    *   Add `RaggedTensor.numpy()`.
    *   Update `RaggedTensor.__getitem__` to preserve uniform dimensions & allow
        indexing into uniform dimensions.
    *   Update `tf.expand_dims` to always insert the new dimension as a
        non-ragged dimension.
    *   Update `tf.embedding_lookup` to use `partition_strategy` and `max_norm`
        when `ids` is ragged.