} else {
			expr.Build(builder)
		}
	}
}

// MergeClause merge where clauses
func (where Where) MergeClause(clause *Clause) {
	if w, ok := clause.Expression.(Where); ok {
		exprs := make([]Expression, len(w.Exprs)+len(where.Exprs))
		copy(exprs, w.Exprs)
		copy(exprs[len(w.Exprs):], where.Exprs)
		where.Exprs = exprs
	}

	clause.Expression = where
}

	}
	return key
}

// replayItems - Reads the items from the store and replays.
func replayItems[I any](store Store[I], doneCh <-chan struct{}, log logger, id string) <-chan Key {
	keyCh := make(chan Key)

	go func() {
		defer xioutil.SafeClose(keyCh)

		retryTicker := time.NewTicker(retryInterval)
		defer retryTicker.Stop()

		for {
			for _, key := range store.List() {
				select {

			if err != nil {
				err = msgp.WrapError(err, "QueuedBuckets")
				return
			}
			if cap(z.QueuedBuckets) >= int(zb0002) {
				z.QueuedBuckets = (z.QueuedBuckets)[:zb0002]
			} else {
				z.QueuedBuckets = make([]string, zb0002)
			}
			for za0001 := range z.QueuedBuckets {
				z.QueuedBuckets[za0001], err = dc.ReadString()
				if err != nil {
					err = msgp.WrapError(err, "QueuedBuckets", za0001)
					return
				}

   * the entry was returned by the iterator, except through the setValue operation on the map entry"
   * As such, this field must be cleared before every map mutation.
   *
   * Note about volatile: volatile doesn't make it safe to read from a mutable graph in one thread
   * while writing to it in another. All it does is help with _reading_ from multiple threads
   * concurrently. For more information, see AbstractNetworkTest.concurrentIteration.

    return (ImmutableMapEntry<K, V>[]) new ImmutableMapEntry<?, ?>[size];
  }

  ImmutableMapEntry(K key, V value) {
    super(key, value);
    checkEntryNotNull(key, value);
  }

  // Redeclare methods to make them `final`, just to be extra-safe.

  @Override
  @ParametricNullness
  public final K getKey() {
    return super.getKey();
  }

  @Override
  @ParametricNullness
  public final V getValue() {

	index := entries - 1
	if index < dynamicTimeoutLogSize {
		dt.mutex.Lock()
		dt.log[index] = duration

		// We leak entries while we copy
		if entries == dynamicTimeoutLogSize {
			// Make copy on stack in order to call adjust()
			logCopy := [dynamicTimeoutLogSize]time.Duration{}
			copy(logCopy[:], dt.log[:])

			// reset log entries
			atomic.StoreInt64(&dt.entries, 0)
			dt.mutex.Unlock()

    equal: ['alertname', 'dev', 'instance']
```

This sample configuration uses a `webhook` at http://127.0.0.1:8010/webhook to post the alerts.
Start the AlertManager and it listens on port `9093` by default. Make sure your webhook is up and listening for the alerts.

## Configure Prometheus to use AlertManager

Add below section to your `prometheus.yml`
```yaml
alerting:
  alertmanagers:
  - static_configs:

	cfg.Proxy = proxy

	if transport == nil {
		// when transport is nil, it means we are just validating the
		// inputs not performing any network calls.
		return cfg, nil
	}

	// Make sure to clone the transport before editing the ProxyURL
	if proxyURL != nil {
		if tr, ok := transport.(*http.Transport); ok {
			ctransport := tr.Clone()
			ctransport.Proxy = http.ProxyURL((*url.URL)(proxyURL))

		fmt.Fprintln(c.output, string(logJSON))
		return nil
	}

	if entry.Level == logger.EventKind {
		fmt.Fprintln(c.output, entry.Message)
		return nil
	}

	traceLength := len(entry.Trace.Source)
	trace := make([]string, traceLength)

	// Add a sequence number and formatting for each stack trace
	// No formatting is required for the first entry
	for i, element := range entry.Trace.Source {

	if !simdjson.SupportedCPU() {
		t.Skip("Unsupported cpu")
	}

	for _, tt := range testCases {
		t.Run(tt.name, func(t *testing.T) {
			ref := loadCompressed(t, tt.name)

			var err error
			dst := make(chan simdjson.Object, 100)
			dec := NewElementReader(dst, &err, &json.ReaderArgs{ContentType: "json"})
			pj, err := simdjson.ParseND(ref, nil)
			if err != nil {
				t.Fatal(err)
			}
			i := pj.Iter()
			cpy := i