this.withLock {
        if (isShutdown) {
          return
        }
        isShutdown = true
        lastGoodStreamId = this.lastGoodStreamId
      }
      // TODO: propagate exception message into debugData.
      // TODO: configure a timeout on the reader so that it doesn’t block forever.
      writer.goAway(lastGoodStreamId, statusCode, EMPTY_BYTE_ARRAY)
    }
  }

  /**

 *   at okhttp3.Connection.connect(Connection.java)
 *   at okhttp3.Connection.connectAndSetOwner(Connection.java)
 * ```
 *
 * Follow up by pasting the public key hashes from the exception into the
 * certificate pinner's configuration:
 *
 * ```java
 * CertificatePinner certificatePinner = new CertificatePinner.Builder()
 *     .add("publicobject.com", "sha256/afwiKY3RxoMmLkuRW1l7QsPZTJPwDS2pdDROQjXw8ig=")

            throw new UnknownHostException( name.name );
        }

        /* If a target address to query was not specified explicitly
         * with the addr parameter we fall into this resolveOrder routine.
         */

        for( int i = 0; i < resolveOrder.length; i++ ) {
            try {
                switch( resolveOrder[i] ) {
                    case RESOLVER_LMHOSTS:

When you PUT an object in a versioning-enabled bucket, the noncurrent version is not overwritten. The following figure shows that when a new version of `spark.csv` is PUT into a bucket that already contains an object with the same name, the original object (ID = `ede336f2`) remains in the bucket, MinIO generates a new version (ID = `fae684da`), and adds the newer version to the bucket.

For more information on the rules, see the [CNI README](../../cni/README.md).
This is done by an HTTP server running on `/var/run/istio-cni/pluginevent.sock`.

An alternative flow is when a pod is enrolled into ambient mode after it starts up.
In this case, the CNI Agent is watching for Pod events from the API server directly and performing the same setup.

		Info: dataUsageCacheInfo{
			Name:      dataUsageRoot,
			NextCycle: oldCache.Info.NextCycle,
		},
		Cache: make(map[string]dataUsageEntry, len(oldCache.Cache)),
	}

	// Put all buckets into channel.
	bucketCh := make(chan BucketInfo, len(buckets))

	// Shuffle buckets to ensure total randomness of buckets, being scanned.
	// Otherwise same set of buckets get scanned across erasure sets always.

	}
	err := w.AddFS(writeTestsToFS(tests))
	if err != nil {
		t.Fatal(err)
	}
	if err := w.Close(); err != nil {
		t.Fatal(err)
	}

	// Add subfolder into fsys to match what we'll read from the tar.
	tests = append(tests[:2:2], WriteTest{Name: "subfolder", Mode: 0o555 | os.ModeDir}, tests[2])

	// read it back
	r, err := NewReader(bytes.NewReader(buf.Bytes()), int64(buf.Len()))

	if err != nil {
		return consumed, nil, typ, err
	}

	return consumed, nameBuf[:nameLen], typ, nil
}

// readDirFn applies the fn() function on each entries at dirPath, doesn't recurse into
// the directory itself, if the dirPath doesn't exist this function doesn't return
// an error.
func readDirFn(dirPath string, fn func(name string, typ os.FileMode) error) error {

# Recommended: Configure Docker. (Linux only)
#
#   TF uses hub.docker.com/r/tensorflow/build containers for CI,
#   and scripts on Linux create a persistent container called "tf"
#   which mounts your TensorFlow directory into the container.
#
#   Important: because the container is persistent, you cannot change TFCI
#   variables in between script executions. To forcibly remove the

/**
 * Implementation detail for the internal structure of {@link Range} instances. Represents a unique
 * way of "cutting" a "number line" (actually of instances of type {@code C}, not necessarily
 * "numbers") into two sections; this can be done below a certain value, above a certain value,
 * below all values or above all values. With this object defined in this way, an interval can
 * always be represented by a pair of {@code Cut} instances.