# Release 2.7.0

## Breaking Changes

*   `tf.keras`:

    *   The methods `Model.fit()`, `Model.predict()`, and `Model.evaluate()`
        will no longer uprank input data of shape `(batch_size,)` to become
        `(batch_size, 1)`. This enables `Model` subclasses to process scalar
        data in their `train_step()`/`test_step()`/`predict_step()` methods. \
        Note that this change may break certain subclassed models. You can

     * @param config
     * @param filename
     * @param wildcard
     * @param searchAttributes
     * @param batchCount
     * @param batchSize
     */
    public Trans2FindFirst2 ( Configuration config, String filename, String wildcard, int searchAttributes, int batchCount, int batchSize ) {
        super(config, SMB_COM_TRANSACTION2, TRANS2_FIND_FIRST2);
        if ( filename.equals("\\") ) {
            this.path = filename;
        }

        final SearchLogBhv searchLogBhv = ComponentUtil.getComponent(SearchLogBhv.class);
        final int batchSize = ComponentUtil.getFessConfig().getSearchlogProcessBatchSizeAsInteger();
        final int totalSize = searchLogList.size();
        for (int i = 0; i < totalSize; i += batchSize) {
            final int end = Math.min(totalSize, i + batchSize);
            if (logger.isDebugEnabled()) {

			Key:         ClientKey,
			Description: "mTLS certificate key for webhook authentication",
			Optional:    true,
			Type:        "string",
			Sensitive:   true,
		},
		config.HelpKV{
			Key:         BatchSize,
			Description: "Number of events per HTTP send to webhook target",
			Optional:    true,
			Type:        "number",
		},
		config.HelpKV{
			Key:         QueueSize,

	const BatchSize = 250 // We process the objects in batches - 250 is a reasonable default.
	var (
		metadata = make([]map[string]string, 0, BatchSize)
		buckets  = make([]string, 0, BatchSize)
		names    = make([]string, 0, BatchSize)
	)
	for len(objects) > 0 {
		N := BatchSize
		if len(objects) < BatchSize {
			N = len(objects)
		}
		batch := objects[:N]

			QueueDir:           env.Get(queueDirEnv, kv.Get(target.KafkaQueueDir)),
			QueueLimit:         queueLimit,
			Version:            env.Get(versionEnv, kv.Get(target.KafkaVersion)),
			BatchSize:          uint32(batchSize),
			BatchCommitTimeout: batchCommitTimeout,
		}

		tlsEnableEnv := target.EnvKafkaTLS
		if k != config.Default {
			tlsEnableEnv = tlsEnableEnv + config.Default + k
		}

	}

	targetUsers := users[3:8]
	for i := 0; i < len(targetUsers); i++ {
		AssertEqual(t, results[i], targetUsers[i])
	}

	var sub1 []User
	// limit < batchSize
	if result := DB.Limit(5).Where("name = ?", users[0].Name).FindInBatches(&sub1, 10, func(tx *gorm.DB, batch int) error {
		return nil
	}); result.Error != nil || result.RowsAffected != 5 {