but wouldn't normally show a visible\n// focus outline. In general, this would mean that the outline is only applied if the\n// interaction that led to the element receiving programmatic focus was a keyboard interaction,\n// or the browser has somehow determined that the user is primarily a keyboard user and/or\n// wants focus outlines to always be presented.\n//\n// See https://developer.mozilla.org/en-US/docs/Web/CSS/:focus-visible\n// and https://developer.paciellogroup.com/blog/2018/03/focus...

but wouldn't normally show a visible\n// focus outline. In general, this would mean that the outline is only applied if the\n// interaction that led to the element receiving programmatic focus was a keyboard interaction,\n// or the browser has somehow determined that the user is primarily a keyboard user and/or\n// wants focus outlines to always be presented.\n//\n// See https://developer.mozilla.org/en-US/docs/Web/CSS/:focus-visible\n// and https://developer.paciellogroup.com/blog/2018/03/focus...

2300          ; valid                  ;      ; NV8    # 1.1  DIAMETER SIGN
2301          ; valid                  ;      ; NV8    # 3.0  ELECTRIC ARROW
2302..2328    ; valid                  ;      ; NV8    # 1.1  HOUSE..KEYBOARD
2329          ; mapped                 ; 3008          # 1.1  LEFT-POINTING ANGLE BRACKET
232A          ; mapped                 ; 3009          # 1.1  RIGHT-POINTING ANGLE BRACKET

    `tf.function` call. This can speed up Keras Models on TPUs up to 3x.
*   Extends `tf.keras.layers.Lambda` layers to support multi-argument lambdas,
    and keyword arguments when calling the layer.
*   Functional models now get constructed if *any* tensor in a layer call's
    arguments/keyword arguments comes from a keras input. Previously the
    functional api would only work if all of the elements in the first argument