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

* fix smb unmount issue on Windows ([#75087](https://github.com/kubernetes/kubernetes/pull/75087), [@andyzhangx](https://github.com/andyzhangx))
* Fixes segmentation fault issue with Protobuf library when log entries are deeply nested. ([#77224](https://github.com/kubernetes/kubernetes/pull/77224), [@qingling128](https://github.com/qingling128))

devtoolset-9)
  wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 "https://vault.centos.org/centos/7/sclo/Source/rh/devtoolset-9-gcc-9.3.1-2.2.el7.src.rpm"
  rpm2cpio "devtoolset-9-gcc-9.3.1-2.2.el7.src.rpm" |cpio -idmv
  tar -xvf "gcc-9.3.1-20200408.tar.xz" --strip 1
  ;;
devtoolset-10)

    <magic priority="40">
      <!-- Specific match for the original AMR format -->
      <match value="#!AMR\n" type="string" offset="0"/>
      <!-- General match for AMR subtypes we don't have entries for -->
      <match value="#!AMR" type="string" offset="0"/>
    </magic>
  </mime-type>
  <mime-type type="audio/amr-wb">
    <sub-class-of type="audio/amr"/>
    <magic priority="50">

You can use Pydantic's model configuration to `forbid` any `extra` fields:

{* ../../docs_src/query_param_models/tutorial002_an_py310.py hl[10] *}

If a client tries to send some **extra** data in the **query parameters**, they will receive an **error** response.

For example, if the client tries to send a `tool` query parameter with a value of `plumbus`, like:

```http
https://example.com/items/?limit=10&tool=plumbus
```

            if (state.shouldRetry()) {
                scheduleRecoveryWithTransport(failedChannel, state, testTransport);
            } else {
                // Remove channel after max retries
                removeChannel(failedChannel);
            }
        } catch (Exception e) {
            // Recovery not possible, remove synchronously
            removeChannel(failedChannel);
            return;

	notify:
	  endpoint: "https://notify.endpoint" # notification endpoint to receive job status events
	  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
```

You can create and run multiple 'replication' jobs at a time there are no predefined limits set.

## Batch Jobs Terminology

- Fixes a regression introduced in 1.29 where conntrack entries for UDP connections
  to deleted pods did not get cleaned up correctly, which could (among other things)

        self._http = urllib3.PoolManager(
            timeout=urllib3.Timeout.DEFAULT_TIMEOUT,
            maxsize=10,
            cert_reqs='CERT_NONE',
            ca_certs=ca_certs,
            retries=urllib3.Retry(
                total=5,
                backoff_factor=0.2,
                status_forcelist=[500, 502, 503, 504]
            )
        )

    def load(self):
        """

### Choosing between application and network interceptors

Each interceptor chain has relative merits.

**Application interceptors**

 * Don't need to worry about intermediate responses like redirects and retries.
 * Are always invoked once, even if the HTTP response is served from the cache.
 * Observe the application's original intent. Unconcerned with OkHttp-injected headers like `If-None-Match`.