*   Keras:

    *   `tf.keras.layers.Conv` now includes a public `convolution_op` method.
        This method can be used to simplify the implementation of Conv
        subclasses. There are two primary ways to use this new method. The first
        is to use the method directly in your own `call` method: `python class
        StandardizedConv2D(tf.keras.layers.Conv2D): def call(self, inputs):

!important;\n}\n\n.float-end {\n  float: right !important;\n}\n\n.float-none {\n  float: none !important;\n}\n\n.object-fit-contain {\n  -o-object-fit: contain !important;\n  object-fit: contain !important;\n}\n\n.object-fit-cover {\n  -o-object-fit: cover !important;\n  object-fit: cover !important;\n}\n\n.object-fit-fill {\n  -o-object-fit: fill !important;\n  object-fit: fill !important;\n}\n\n.object-fit-scale {\n  -o-object-fit: scale-down !important;\n  object-fit: scale-down !important;\n}\n\n.object-fit-none...

- Fixes a `cannot convert int64 to float64` error seen using server-side apply with certain CRDs in 1.19.10+ ([#103105](https://github.com/kubernetes/kubernetes/pull/103105), [@liggitt](https://github.com/liggitt)) [SIG API Machinery]

TMP, TMP // vsldoi 6,0,6,12 VXOR IN0, TMP, IN0 // vxor 1,1,6 VXOR IN0, KEY, IN0 // vxor 1,1,3 STXVD2X IN0, (R0+OUTENC) STXVD2X IN0, (R0+OUTDEC) RET l192: LXSDX (INP+R0), IN1 // Load next 8 bytes into upper half of VSR. XXBRD_ON_LE(IN1, IN1) // and convert to BE ordering on LE hosts. MOVD $4, CNT // li 7,4 STXVD2X IN0, (R0+OUTENC) STXVD2X IN0, (R0+OUTDEC) ADD $16, OUTENC, OUTENC ADD $-16, OUTDEC, OUTDEC VSPLTISB $8, KEY // vspltisb 3,8 MOVD CNT, CTR // mtctr 7 VSUBUBM MASK, KEY, MASK // vsububm 5,5,3...

1FAC6..1FACD  ; disallowed                             # NA   <reserved-1FAC6>..<reserved-1FACD>
1FACE..1FACF  ; valid                  ;      ; NV8    # 15.0 MOOSE..DONKEY
1FAD0..1FAD6  ; valid                  ;      ; NV8    # 13.0 BLUEBERRIES..TEAPOT
1FAD7..1FAD9  ; valid                  ;      ; NV8    # 14.0 POURING LIQUID..JAR

TMP, TMP // vsldoi 6,0,6,12 VXOR IN0, TMP, IN0 // vxor 1,1,6 VXOR IN0, KEY, IN0 // vxor 1,1,3 STXVD2X IN0, (R0+OUTENC) STXVD2X IN0, (R0+OUTDEC) RET l192: LXSDX (INP+R0), IN1 // Load next 8 bytes into upper half of VSR. XXBRD_ON_LE(IN1, IN1) // and convert to BE ordering on LE hosts. MOVD $4, CNT // li 7,4 STXVD2X IN0, (R0+OUTENC) STXVD2X IN0, (R0+OUTDEC) ADD $16, OUTENC, OUTENC ADD $-16, OUTDEC, OUTDEC VSPLTISB $8, KEY // vspltisb 3,8 MOVD CNT, CTR // mtctr 7 VSUBUBM MASK, KEY, MASK // vsububm 5,5,3...

background-image and -size.\n\n@mixin img-retina($file-1x, $file-2x, $width-1x, $height-1x) {\n  background-image: url($file-1x);\n\n  // Autoprefixer takes care of adding -webkit-min-device-pixel-ratio and -o-min-device-pixel-ratio,\n  // but doesn't convert dppx=>dpi.\n  // There's no such thing as unprefixed min-device-pixel-ratio since it's nonstandard.\n  // Compatibility info: https://caniuse.com/css-media-resolution\n  @media only screen and (min-resolution: 192dpi), // IE9-11 don't support dppx\n...

* 📝 Update docs. PR [#11603](https://github.com/tiangolo/fastapi/pull/11603) by [@alejsdev](https://github.com/alejsdev).
* ✏️ Fix typo: convert every 're-use' to 'reuse'.. PR [#11598](https://github.com/tiangolo/fastapi/pull/11598) by [@hasansezertasan](https://github.com/hasansezertasan).