*/
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

    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

			Description: `maximum retry count before we start dropping logged event(s)`,
			Optional:    true,
			Type:        "number",
		},
		config.HelpKV{
			Key:         RetryInterval,
			Description: `sleep between each retries, allowed maximum value is '1m' e.g. '10s'`,
			Optional:    true,
			Type:        "duration",
		},
		config.HelpKV{
			Key:         httpTimeout,
			Description: `defines the maximum duration for each http request`,

    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 {

    - "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

  // `keep_alive_secs` of inactivity.
  virtual absl::Status SetOrUpdateServerDef(
      const ServerDef& server_def, bool reset_context, int keep_alive_secs,
      int64_t init_timeout_in_ms, int retries,
      bool clear_existing_contexts = false) = 0;

  // Initializes context for the local worker and no contexts will be created
  // for remote workers. Currently this only works for resetting context.

type BatchJobRetry struct {
	line, col int
	Attempts  int           `yaml:"attempts" json:"attempts"` // number of retry attempts
	Delay     time.Duration `yaml:"delay" json:"delay"`       // delay between each retries
}

var _ yaml.Unmarshaler = &BatchJobRetry{}

// UnmarshalYAML - BatchJobRetry extends unmarshal to extract line, column information
func (r *BatchJobRetry) UnmarshalYAML(val *yaml.Node) error {

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
		}

				name,
			)

			time.Sleep(retryIntvl)
			if maxRetries == 0 {
				goto retry
			}
			retries++
			if retries <= maxRetries {
				goto retry
			}
		}

		entries = make([]interface{}, 0)
		count = 0
		if !isDirQueue {
			buf.Reset()
		}

		if !mainWorker && len(h.logCh) < cap(h.logCh)/2 {
			if time.Since(h.lastStarted).Seconds() > 30 {
				return
			}