*   It is similar to a Promise in JavaScript.
 *   It allows you to register callbacks that will be executed when the computation is complete,
 *   either successfully (resolve) or with an error (reject).
 * </p>
 *
 * <p>
 *   The Deferred class has a Promise inner class that allows you to register callbacks
 *   to be executed when the computation is complete.

	for i := 0; i < len(all); i++ {
		for j := 0; j < len(all)-i; j++ {
			buf := make([]byte, j)
			n, err := b.ReadAt(buf, int64(i))
			if err != nil || n != len(buf) {
				t.Errorf("ReadAt(%d, %d) = %d, %v; want %d, nil", i, j, n, err, len(buf))
			}
			if !bytes.Equal(buf, all[i:i+j]) {
				t.Errorf("ReadAt(%d, %d) = %q; want %q", i, j, buf, all[i:i+j])
			}
		}
	}
}

	}

	// If we have too many waiting, reject this at once.
	if l.waitMutex.Load() > lockMutexWaitLimit {
		l.locksOverloaded.Add(1)
		return false, nil
	}
	// Wait for mutex
	defer l.getMutex()()
	if ctx.Err() != nil {
		return false, ctx.Err()
	}
	if !l.canTakeLock(args.Resources...) {
		// Not all locks can be taken on resources,
		// reject it completely.
		return false, nil
	}

        return new Promise((resolve, reject) => {
            if (img.complete && img.naturalHeight !== 0) {
                resolve();
            } else {
                img.addEventListener('load', () => {
                    if (img.naturalHeight !== 0) {
                        resolve();
                    } else {
                        reject();
                    }
                });

${packaging.scripts.header}

#
# This script is executed in the post-installation phase
#
#   On Debian,
#       $1=configure : is set to 'configure' and if $2 is set, it is an upgrade
#
#   On RedHat,
#       $1=0         : indicates a removal
#       $1=1         : indicates an upgrade



# Sets the default values for fess variables used in this script
FESS_USER="${packaging.fess.user}"
FESS_GROUP="${packaging.fess.group}"

        case LOCK:
            return "Release existing locks or wait for them to be released";
        case BUFFER:
            return "Reduce buffer usage or increase buffer pool size";
        case THREAD_POOL:
            return "Reduce concurrent operations or increase thread pool size";
        default:
            return "Check resource availability and retry";
        }
    }

    /**

ilter"===i.willChange||t&&i.filter&&"none"!==i.filter)return n;n=n.parentNode}return null}(e)||n}var D="top",A="bottom",L="right",P="left",M="auto",k=[D,A,L,P],W="start",B="end",H="viewport",T="popper",R=k.reduce((function(e,t){return e.concat([t+"-"+W,t+"-"+B])}),[]),S=[].concat(k,[M]).reduce((function(e,t){return e.concat([t,t+"-"+W,t+"-"+B])}),[]),V=["beforeRead","read","afterRead","beforeMain","main","afterMain","beforeWrite","write","afterWrite"];function q(e){var t=new Map,n=new Set,r=[];function...

/**
 * A pluggable service for processing model objects during model building.
 *
 * <p>This service allows implementations to:</p>
 * <ul>
 *   <li>Pool identical objects to reduce memory footprint</li>
 *   <li>Intern objects for faster equality comparisons</li>
 *   <li>Apply custom optimization strategies</li>
 *   <li>Transform or modify objects during building</li>
 * </ul>
 *

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

```console
$ pip install websockets

---> 100%
```

</div>

## WebSockets client { #websockets-client }

### Production'da { #in-production }

Production sisteminizde muhtemelen React, Vue.js veya Angular gibi modern bir framework ile oluşturulmuş bir frontend vardır.

WebSockets kullanarak backend'inizle iletişim kurmak için de büyük ihtimalle frontend'inizin sağladığı yardımcı araçları kullanırsınız.