// @author Antoon Bosselaers <******@****.***> // @author Paulo Barreto <******@****.***> // // This code is hereby placed in the public domain. // // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ''AS IS'' AND ANY EXPRESS // OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED // WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE // ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHORS OR CONTRIBUTORS BE // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,...

instead of `li`s or `div`s to create interactive\n// list items. Includes an extra `.active` modifier class for selected items.\n\n.list-group-item-action {\n  width: 100%; // For `<button>`s (anchors become 100% by default though)\n  color: $list-group-action-color;\n  text-align: inherit; // For `<button>`s (anchors inherit)\n\n  // Hover state\n  @include hover-focus() {\n    z-index: 1; // Place hover/focus items above their siblings for proper border styling\n    color: $list-group-action-hover-color;\n...

`li`s or `div`s to create interactive\n// list items. Includes an extra `.active` modifier class for selected items.\n\n.list-group-item-action {\n  width: 100%; // For `<button>`s (anchors become 100% by default though)\n  color: var(--#{$prefix}list-group-action-color);\n  text-align: inherit; // For `<button>`s (anchors inherit)\n\n  // Hover state\n  &:hover,\n  &:focus {\n    z-index: 1; // Place hover/focus items above their siblings for proper border styling\n    color: var(--#{$prefix}list-...

 */
package org.codelibs.fess.mylasta.direction;

import org.lastaflute.core.direction.exception.ConfigPropertyNotFoundException;

/**
 * The config for Fess.
 *
 * @author FreeGen
 */
public interface FessConfig extends FessEnv, org.codelibs.fess.mylasta.direction.FessProp {

    /** The key of the configuration. e.g. Fess */
    String DOMAIN_TITLE = "domain.title";

        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],
        keepdims=True) # Author code uses std + 1e-5 return
        super().convolution_op(inputs, (kernel - mean) / tf.sqrt(var + 1e-10))`
    *   Added `merge_state()` method to `tf.keras.metrics.Metric` for use in
        distributed computations.