#      compilers, etc. can cause undefined behavior such as build failures
#      or tests passing incorrectly.
#    - Automatic LLVM updates are known to extend build time even with
#      the cache; this is unavoidable.
export TFCI=py311,linux_x86,public_cache,disk_cache

# Recommended: Configure Docker. (Linux only)
#
#   TF uses hub.docker.com/r/tensorflow/build containers for CI,

delete marker replication, there is potential for duplicate delete markers to be created if both source and target concurrently set a Delete Marker or if one/both of the clusters went down at tandem before the replication event was synced.This is an unavoidable side-effect in active-active replication caused by allowing delete markers set on a object version with `REPLICA` status back to source.

In the case of versioned deletes a.k.a permanent delete of a version by doing a `mc rm --version-id`...

then fixing the bug will break that code.
New features can also have similar impacts:
enabling the HTTP/2 use by the HTTP client broke programs
connecting to servers with buggy HTTP/2 implementations.
These kinds of changes are unavoidable and
[permitted by the Go 1 compatibility rules](/doc/go1compat).
Even so, Go provides a mechanism called GODEBUG to
reduce the impact such changes have on Go developers
using newer toolchains to compile old code.

    Ordering<Number> unusedK = objects.compound(objects.compound(numbers));

    // You can also arbitrarily assign a more restricted type - not an intended
    // feature, exactly, but unavoidable (I think) and harmless
    Ordering<Integer> unusedL = objects.compound(numbers);

    // This correctly doesn't work:
    // Ordering<Object> unusedM = numbers.compound(objects);

    Ordering<Number> unusedK = objects.compound(objects.compound(numbers));

    // You can also arbitrarily assign a more restricted type - not an intended
    // feature, exactly, but unavoidable (I think) and harmless
    Ordering<Integer> unusedL = objects.compound(numbers);

    // This correctly doesn't work:
    // Ordering<Object> unusedM = numbers.compound(objects);

  failureThreshold: 3
```

## Cluster probe

### Cluster-writeable probe

The reply is '200 OK' if cluster has write quorum if not it returns '503 Service Unavailable'.

```
curl http://minio1:9001/minio/health/cluster
HTTP/1.1 503 Service Unavailable
Accept-Ranges: bytes
Content-Length: 0
Server: MinIO
Vary: Origin
X-Amz-Bucket-Region: us-east-1
X-Minio-Write-Quorum: 3
X-Amz-Request-Id: 16239D6AB80EBECF

	"strconv"
	"time"

	xhttp "github.com/minio/minio/internal/http"
	"github.com/minio/minio/internal/kms"
)

const unavailable = "offline"

func checkHealth(w http.ResponseWriter) ObjectLayer {
	objLayer := newObjectLayerFn()
	if objLayer == nil {
		w.Header().Set(xhttp.MinIOServerStatus, unavailable)
		writeResponse(w, http.StatusServiceUnavailable, nil, mimeNone)
		return nil
	}

  [[1]] This is obvious, but the network/internet is unavailable.

  [[2]] Localhost (127.0.0.1) may also be unavailable if the whole
        network stack is offline.

  [[3]] "Remote" repositories referenced using the file:// protocol may
        be available. However, if that file:// url references a
        file-share, as in the case of an NFS or SMB mount, that will
        be unavailable.

        final MimeTypeHelper mimeTypeHelper = crawlerContainer.getComponent("mimeTypeHelper");
        if (mimeTypeHelper == null) {
            throw new CrawlerSystemException("MimeTypeHelper is unavailable.");
        }
        return mimeTypeHelper;
    }

    /**
     * Returns the ExtractorFactory instance from the CrawlerContainer.
     * @return The ExtractorFactory instance.
     */

**Libtensorflow Windows GPU** | Status Temporarily Unavailable                             ...