// Load current bloom cycle
	var cycleInfo currentScannerCycle

	buf, _ := readConfig(ctx, objAPI, dataUsageBloomNamePath)
	if len(buf) == 8 {
		cycleInfo.next = binary.LittleEndian.Uint64(buf)
	} else if len(buf) > 8 {
		cycleInfo.next = binary.LittleEndian.Uint64(buf[:8])
		buf = buf[8:]
		_, err := cycleInfo.UnmarshalMsg(buf)
		bugLogIf(ctx, err)
	}

	scannerTimer := time.NewTimer(scannerCycle.Load())

# Bazelisk manually. We enable this for macOS x86 builds as those VMs do not
# have Bazelisk pre-installed. "TFCI_MACOS_INSTALL_BAZELISK_URL" contains the
# link to the Bazelisk binary which needs to be downloaded.
if [[ "${TFCI_MACOS_INSTALL_BAZELISK_ENABLE}" == 1 ]]; then
  sudo wget --no-verbose -O "/usr/local/bin/bazel" "${TFCI_MACOS_INSTALL_BAZELISK_URL}"
  chmod +x "/usr/local/bin/bazel"
fi

<https://my-artifactory.example.com/minio/> - For deployments that installed the MinIO server binary by hand, use [`mc admin update`](https://min.io/docs/minio/linux/reference/minio-mc-admin/mc-admin-update.html) ```sh mc admin update <minio alias, e.g., myminio> ``` - For deployments without external internet access (e.g. airgapped environments), download the binary from <https://dl.min.io> and replace the existing MinIO binary let's say for example `/opt/bin/minio`, apply executable permissions `chmod +x /opt/bin/minio`...

# Extension to allow automatically downloading the maven-wrapper.jar from Maven-central
# This allows using the maven wrapper in projects that prohibit checking in binary data.
##########################################################################################
if [ -r "$BASE_DIR/.mvn/wrapper/maven-wrapper.jar" ]; then
    if [ "$MVNW_VERBOSE" = true ]; then

//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package grid

import (
	"context"
	"encoding/binary"
	"errors"
	"fmt"
	"sync"
	"sync/atomic"
	"time"

	xioutil "github.com/minio/minio/internal/ioutil"
	"github.com/zeebo/xxh3"
)

// muxClient is a stateful connection to a remote.

        'can be specified as "x.y" or "compute_xy" to include both virtual and'
        ' binary GPU code, or as "sm_xy" to only include the binary '
        'code.\nPlease note that each additional compute capability '
        'significantly increases your build time and binary size, and that '
        'TensorFlow only supports compute capabilities >= 3.5 [Default is: '

type In struct {
	JPathExpr *JSONPath `parser:"@@"`
	ListExpr  *ListExpr `parser:"| @@"`
}

// Grammar for Operand:
//
// operand → multOp ( ("-" | "+") multOp )*
// multOp  → unary ( ("/" | "*" | "%") unary )*
// unary   → "-" unary | primary
// primary → Value | Variable | "(" expression ")"
//

// An Operand is a single term followed by an optional sequence of
// terms separated by +/-
type Operand struct {

                        writer.write(body);
                        writer.flush();
                    }
                } else if (bodyStream != null) {
                    logger.fine(() -> ">>> <binary>");
                    connection.setDoOutput(true);
                    try (final OutputStream out = connection.getOutputStream()) {
                        IOUtils.copy(bodyStream, out);

	if cardinality <= 0 {
		return -1
	}
	// use the faster version as per siphash docs
	// https://github.com/dchest/siphash#usage
	k0, k1 := binary.LittleEndian.Uint64(id[0:8]), binary.LittleEndian.Uint64(id[8:16])
	sum64 := siphash.Hash(k0, k1, []byte(key))
	return int(sum64 % uint64(cardinality))
}

func crcHashMod(key string, cardinality int) int {
	if cardinality <= 0 {

## Await for messages and send messages

In your WebSocket route you can `await` for messages and send messages.

```Python hl_lines="48-52"
{!../../docs_src/websockets/tutorial001.py!}
```

You can receive and send binary, text, and JSON data.

## Try it

If your file is named `main.py`, run your application with:

<div class="termy">

```console
$ fastapi dev main.py