MINIO_ROOT_PASSWORD: "minio123"
    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

        // Should allow retries up to limit
        assertTrue(state.shouldRetry());

        state.incrementRetry(); // Retry 1
        assertTrue(state.shouldRetry());

        state.incrementRetry(); // Retry 2
        assertTrue(state.shouldRetry());

        state.incrementRetry(); // Retry 3
        assertFalse(state.shouldRetry()); // Max retries reached
    }

    @Test

    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

    MINIO_KMS_SECRET_KEY: "my-minio-key:OSMM+vkKUTCvQs9YL/CVMIMt43HFhkUpqJxTmGl6rYw="
    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

    endpoint: https://notify.endpoint # notification endpoint to receive job completion status
    token: Bearer xxxxx # optional authentication token for the notification endpoint
  
  retry:
    attempts: 10 # number of retries for the job before giving up
    delay: 500ms # least amount of delay between each retry
`
	var job BatchJobRequest
	err := yaml.Unmarshal([]byte(expireYaml), &job)
	if err != nil {

 */
package okhttp3.internal.connection

import java.io.IOException
import okhttp3.Address
import okhttp3.HttpUrl

/**
 * Policy on choosing which connection to use for an exchange and any retries that follow. This uses
 * the following strategies:
 *
 *  1. If the current call already has a connection that can satisfy the request it is used. Using

    - "9000"
    - "9001"
  # environment:
    # MINIO_ROOT_USER: minioadmin
    # MINIO_ROOT_PASSWORD: minioadmin
  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

   * resizing the table, as well as populating slots with new Cells.
   * There is no need for a blocking lock; when the lock is not
   * available, threads try other slots (or the base).  During these
   * retries, there is increased contention and reduced locality,
   * which is still better than alternatives.
   *
   * Per-thread hash codes are initialized to random values.
   * Contention and/or table collisions are indicated by failed

func (iamOS *IAMObjectStore) loadPolicyDocWithRetry(ctx context.Context, policy string, m map[string]PolicyDoc, retries int) error {
	for {
	retry:
		data, objInfo, err := iamOS.loadIAMConfigBytesWithMetadata(ctx, getPolicyDocPath(policy))
		if err != nil {
			if err == errConfigNotFound {
				return errNoSuchPolicy
			}
			retries--
			if retries <= 0 {
				return err
			}
			time.Sleep(500 * time.Millisecond)
			goto retry
		}

          "format": "table",
          "hide": false,
          "instant": true,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "",
          "metric": "process_start_time_seconds",
          "refId": "A",
          "step": 60
        }
      ],
      "title": "Total Drives",
      "type": "stat"
    },
    {
      "datasource": {