none;\n}\n\n.modal.fade .modal-dialog {\n  transition: -webkit-transform 0.3s ease-out;\n  transition: transform 0.3s ease-out;\n  transition: transform 0.3s ease-out, -webkit-transform 0.3s ease-out;\n  -webkit-transform: translate(0, -50px);\n  transform: translate(0, -50px);\n}\n\n@media (prefers-reduced-motion: reduce) {\n  .modal.fade .modal-dialog {\n    transition: none;\n  }\n}\n\n.modal.show .modal-dialog {\n  -webkit-transform: none;\n  transform: none;\n}\n\n.modal.modal-static .modal-dialog {\n ...

pointer-events: none;\n\n  // When fading in the modal, animate it to slide down\n  .modal.fade & {\n    @include transition($modal-transition);\n    transform: $modal-fade-transform;\n  }\n  .modal.show & {\n    transform: $modal-show-transform;\n  }\n\n  // When trying to close, animate focus to scale\n  .modal.modal-static & {\n    transform: $modal-scale-transform;\n  }\n}\n\n.modal-dialog-scrollable {\n  height: calc(100% - var(--#{$prefix}modal-margin) * 2);\n\n  .modal-content {\n    max-height: 100%;\n...

    * \*fft\* ops now support dtensors with any layout. Fixed bug in 'fft2d/fft3d', 'ifft2d/ifft3d', 'rfft2d/rfft3d', and 'irfft2d/irfft3d' for sharde input. Refer to this [blog post](https://blog.tensorflow.org/2023/08/distributed-fast-fourier-transform-in-tensorflow.html) for details.

*  `tf.experimental.strict_mode`
    * Added a new API, `strict_mode`, which converts all deprecation warnings into runtime errors with instructions on switching to a recommended  substitute.

) << 24) } else if nk > 6 && i%nk == 4 { t = subw(t) } c.enc[i] = c.enc[i-nk] ^ t } // Derive decryption key from encryption key. // Reverse the 4-word round key sets from enc to produce dec. // All sets but the first and last get the MixColumn transform applied. n := c.roundKeysSize() for i := 0; i < n; i += 4 { ei := n - i - 4 for j := 0; j < 4; j++ { x := c.enc[ei+j] if i > 0 && i+4 < n { x = td0[sbox0[x>>24]] ^ td1[sbox0[x>>16&0xff]] ^ td2[sbox0[x>>8&0xff]] ^ td3[sbox0[x&0xff]] } c.dec[i+j] =...