33.3333333333%;\n}\n\n.row-cols-4 > * {\n  flex: 0 0 auto;\n  width: 25%;\n}\n\n.row-cols-5 > * {\n  flex: 0 0 auto;\n  width: 20%;\n}\n\n.row-cols-6 > * {\n  flex: 0 0 auto;\n  width: 16.6666666667%;\n}\n\n.col-auto {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n.col-1 {\n  flex: 0 0 auto;\n  width: 8.33333333%;\n}\n\n.col-2 {\n  flex: 0 0 auto;\n  width: 16.66666667%;\n}\n\n.col-3 {\n  flex: 0 0 auto;\n  width: 25%;\n}\n\n.col-4 {\n  flex: 0 0 auto;\n  width: 33.33333333%;\n}\n\n.col-5 {\n  flex: 0 0 auto;\n...

33.333333%;\n  max-width: 33.333333%;\n}\n\n.row-cols-4 > * {\n  -ms-flex: 0 0 25%;\n  flex: 0 0 25%;\n  max-width: 25%;\n}\n\n.row-cols-5 > * {\n  -ms-flex: 0 0 20%;\n  flex: 0 0 20%;\n  max-width: 20%;\n}\n\n.row-cols-6 > * {\n  -ms-flex: 0 0 16.666667%;\n  flex: 0 0 16.666667%;\n  max-width: 16.666667%;\n}\n\n.col-auto {\n  -ms-flex: 0 0 auto;\n  flex: 0 0 auto;\n  width: auto;\n  max-width: 100%;\n}\n\n.col-1 {\n  -ms-flex: 0 0 8.333333%;\n  flex: 0 0 8.333333%;\n  max-width: 8.333333%;\n}\n\n.col-2...

     * Get the value for the key 'thumbnail.html.image.min.width'. <br>
     * The value is, e.g. 100 <br>
     * comment: Minimum width for HTML images in thumbnails.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getThumbnailHtmlImageMinWidth();

    /**
     * Get the value for the key 'thumbnail.html.image.min.width' as {@link Integer}. <br>

2000..200A    ; disallowed_STD3_mapped ; 0020          # 1.1  EN QUAD..HAIR SPACE
200B          ; ignored                                # 1.1  ZERO WIDTH SPACE
200C..200D    ; deviation              ;               # 1.1  ZERO WIDTH NON-JOINER..ZERO WIDTH JOINER
200E..200F    ; disallowed                             # 1.1  LEFT-TO-RIGHT MARK..RIGHT-TO-LEFT MARK
2010          ; valid                  ;      ; NV8    # 1.1  HYPHEN

- Fixed: log timestamps now include trailing zeros to maintain a fixed width ([#91207](https://github.com/kubernetes/kubernetes/pull/91207), [@iamchuckss](https://github.com/iamchuckss)) [SIG Apps and Node]

*   `tf.scatter_update` now no longer guarantees that lexicographically largest
    index be used for update when duplicate entries exist.
*   `tf.image.random_crop(image, [height, width])` is now `tf.random_crop(image,
    [height, width, depth])`, and `tf.random_crop` works for any rank (not just
    3-D images). The C++ `RandomCrop` op has been replaced with pure Python.

w < 2 { panic("w must be at least 2 by the definition of NAF") } else if w > 8 { panic("NAF digits must fit in int8") } var naf [256]int8 var digits [5]uint64 for i := 0; i < 4; i++ { digits[i] = byteorder.LEUint64(b[i*8:]) } width := uint64(1 << w) windowMask := uint64(width - 1) pos := uint(0) carry := uint64(0) for pos < 256 { indexU64 := pos / 64 indexBit := pos % 64 var bitBuf uint64 if indexBit < 64-w { // This window's bits are contained in a single u64 bitBuf = digits[indexU64] >> indexBit...