}
			}
			if err := w.Close(); err != nil {
				t.Fatal(err)
			}
		}
	}
	// 16k-1 records shouldn't make a zip64:
	t.Run("uint16max-1_NoZip64", func(t *testing.T) {
		t.Parallel()
		if generatesZip64(t, gen(0xfffe)) {
			t.Error("unexpected zip64")
		}
	})
	// 16k records should make a zip64:
	t.Run("uint16max_Zip64", func(t *testing.T) {
		t.Parallel()
		if !generatesZip64(t, gen(0xffff)) {

```
mc cp myphoto.jpg myminio/images
```

You should receive the following event notification via RabbitMQ once the upload completes.

```py
python rabbit.py

		if eventData.EventName == event.ObjectRemovedDelete {
			_, err = target.deleteStmt.Exec(key)
		} else {
			var data []byte
			if data, err = json.Marshal(struct{ Records []event.Event }{[]event.Event{eventData}}); err != nil {
				return err
			}

			_, err = target.updateStmt.Exec(key, data)
		}

		return err
	}

	if target.args.Format == event.AccessFormat {

package logger

import (
	"context"
	"errors"
	"fmt"
	"io"
	"log"
	"os"
	"time"

	"gorm.io/gorm/utils"
)

// ErrRecordNotFound record not found error
var ErrRecordNotFound = errors.New("record not found")

// Colors
const (
	Reset       = "\033[0m"
	Red         = "\033[31m"
	Green       = "\033[32m"
	Yellow      = "\033[33m"
	Blue        = "\033[34m"
	Magenta     = "\033[35m"
	Cyan        = "\033[36m"

	buf.WriteByte(7)
	buf.Write([]byte{0, 24})
	buf.WriteString("application/octet-stream")

	buf.WriteByte(11)
	buf.WriteString(":event-type")
	buf.WriteByte(7)
	buf.Write([]byte{0, 7})
	buf.WriteString("Records")

	fmt.Println(buf.Bytes())
}

// Continuation Message
// ====================
// Header specification
// --------------------
// Continuation messages contain two headers, as follows:

	if err != nil {
		return err
	}
	key := eventData.S3.Bucket.Name + "/" + objectName

	data, err := json.Marshal(event.Log{EventName: eventData.EventName, Key: key, Records: []event.Event{eventData}})
	if err != nil {
		return err
	}

	req, err := http.NewRequest(http.MethodPost, target.args.Endpoint.String(), bytes.NewReader(data))
	if err != nil {
		return err
	}

				}
			} else {
				var outputRecord sql.Record
				// We will attempt to reuse the records in the table.
				// The type of these should not change.
				// The queue should always have at least one entry left for this to work.
				outputQueue = outputQueue[:len(outputQueue)+1]
				if t := outputQueue[len(outputQueue)-1]; t != nil {
					// If the output record is already set, we reuse it.
					outputRecord = t

  // This is a no-op if the tensor is already being watched either from an
  // earlier call to `GradientTape::Watch` or being an output of an op with
  // watched inputs.
  void Watch(const AbstractTensorHandle*);
  // Records an operation with given inputs and outputs
  // on the tape and marks all its outputs as watched if at
  // least one input of the op is watched and has a trainable dtype.
  // op_name is optional and is used for debugging only.

  std::unordered_map<tensorflow::string, tensorflow::Node*> name_map
      TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each
  // value records whether the graph has been mutated since the corresponding
  // session has been run (this is detected in RecordMutation function). If the
  // string is empty, no mutation has occurred. Otherwise the string is a

// maxUnconsumedHealResultItems. When it blocks, the heal sequence
// routine is effectively paused - this happens when the server has
// accumulated the maximum number of heal records per heal
// sequence. When the client consumes further records, the heal
// sequence automatically resumes. The return value indicates if the
// operation succeeded.
func (h *healSequence) pushHealResultItem(r madmin.HealResultItem) error {