if( len <= 0 ) {
            return;
        }

        if( tmp == null ) {
            throw new IOException( "Bad file descriptor" );
        }
        ensureOpen();

        if( file.log.level >= 4 )
            file.log.println( "write: fid=" + file.fid + ",off=" + off + ",len=" + len );

        int w;
        do {
            w = len > writeSize ? writeSize : len;
            if( useNTSmbs ) {

  quay.io/minio/minio server /data --console-address ":9001"
```

## Run Distributed MinIO on Containers

We recommend kubernetes based deployment for production level deployment <https://github.com/minio/operator>.

See the [Kubernetes documentation](https://min.io/docs/minio/kubernetes/upstream/index.html) for more information.

## MinIO Docker Tips

## Prerequisites

- It is assumed you have users created and configured with relevant access policies, to start with
  use basic "readwrite" canned policy to test all the operations before you finalize on what level
  of restrictions are needed for a user.

- No "admin:*" operations are needed for FTP/SFTP access to the bucket(s) and object(s), so you may
  skip them for restrictions.

## Usage

            declaration.receiverTypeString?.let { receiver ->
                incubating += " with $receiver receiver"
            }
            if (declaration.parent == ktFile) {
                incubating += ", top-level in ${sourceFile.name}"
            }
        }
        return incubating.replace(NEWLINE_REGEX, " ")
    }

    private
    fun KtFile.forEachIncubatingDeclaration(block: (KtNamedDeclaration) -> Unit) {

  // If any of the selectors match, then the ClusterRole's permissions will be added
  // +optional
  repeated k8s.io.apimachinery.pkg.apis.meta.v1.LabelSelector clusterRoleSelectors = 1;
}

// ClusterRole is a cluster level, logical grouping of PolicyRules that can be referenced as a unit by a RoleBinding or ClusterRoleBinding.
message ClusterRole {
  // Standard object's metadata.
  // +optional

  Or install the latest stable TensorFlow 1.X release:
    * `pip install -U "tensorflow==1.*"`

  Otherwise your code may be broken by the change.

  """)

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.
_API_MODULE = _sys.modules[__name__].bitwise  # pylint: disable=undefined-variable

import java.util.concurrent.locks.LockSupport;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

@GwtCompatible(emulated = true)
@ReflectionSupport(value = ReflectionSupport.Level.FULL)
@ElementTypesAreNonnullByDefault
// Some Android 5.0.x Samsung devices have bugs in JDK reflection APIs that cause
// getDeclaredField to throw a NoSuchFieldException when the field is definitely there.

This command finds a Prometheus pod running in the specified istio system
namespace. It then executes a series of queries per requested workload to
find the following top-level workload metrics: total requests per second,
error rate, and request latency at p50, p90, and p99 percentiles. The
query results are printed to the console, organized by workload name.

            int firstSep = link.indexOf('/');
            if ( firstSep == link.length() - 1 ) {
                // single level
                assertTrue("Link not found " + link, listLinks.contains(link));
            }
            else {
                link = link.substring(0, firstSep + 1);
                // single level
                assertTrue("First component of link not found" + link, listLinks.contains(link));
            }

    LocalCache<?, ?> map = CacheTesting.toLocalCache(cache);
    assertThat(map.segments).hasLength(4); // concurrency level
    assertEquals(4, map.segments[0].table.length()); // capacity / conc level
  }

  @GwtIncompatible // CountDownLatch
  static final class DelayingIdentityLoader<T> extends CacheLoader<T, T> {
    private final AtomicBoolean shouldWait;