!default;\n\n// Cache $rfs-base-value unit\n$rfs-base-value-unit: unit($rfs-base-value);\n\n@function divide($dividend, $divisor, $precision: 10) {\n  $sign: if($dividend > 0 and $divisor > 0 or $dividend < 0 and $divisor < 0, 1, -1);\n  $dividend: abs($dividend);\n  $divisor: abs($divisor);\n  @if $dividend == 0 {\n    @return 0;\n  }\n  @if $divisor == 0 {\n    @error \"Cannot divide by 0\";\n  }\n  $remainder: $dividend;\n  $result: 0;\n  $factor: 10;\n  @while ($remainder > 0 and $precision >= 0) {\n    $quotient:...

$rfs-base-font-size unit\n$rfs-base-font-size-unit: unit($rfs-base-font-size);\n\n@function divide($dividend, $divisor, $precision: 10) {\n  $sign: if($dividend > 0 and $divisor > 0 or $dividend < 0 and $divisor < 0, 1, -1);\n  $dividend: abs($dividend);\n  $divisor: abs($divisor);\n  @if $dividend == 0 {\n    @return 0;\n  }\n  @if $divisor == 0 {\n    @error \"Cannot divide by 0\";\n  }\n  $remainder: $dividend;\n  $result: 0;\n  $factor: 10;\n  @while ($remainder > 0 and $precision >= 0) {\n    $quotient:...

to compute (y * q) / 2ᵈ, rounded to nearest integer, with 1/2 // rounding up (see FIPS 203, Section 2.3). dividend := uint32(y) * q quotient := dividend >> d // (y * q) / 2ᵈ // The d'th least-significant bit of the dividend (the most significant bit // of the remainder) is 1 for the top half of the values that divide to the // same quotient, which are the ones that round up. quotient += dividend >> (d - 1) & 1 // quotient is at most (2¹¹-1) * q / 2¹¹ + 1 = 3328, so it didn't overflow. return fieldElement(quotient)...

to compute (y * q) / 2ᵈ, rounded to nearest integer, with 1/2 // rounding up (see FIPS 203, Section 2.3). dividend := uint32(y) * q quotient := dividend >> d // (y * q) / 2ᵈ // The d'th least-significant bit of the dividend (the most significant bit // of the remainder) is 1 for the top half of the values that divide to the // same quotient, which are the ones that round up. quotient += dividend >> (d - 1) & 1 // quotient is at most (2¹¹-1) * q / 2¹¹ + 1 = 3328, so it didn't overflow. return fieldElement(quotient)...

        passed to the optimizer but the reported loss will be a scalar value.
    *   `SUM`: Scalar sum of weighted losses. 4. `SUM_OVER_BATCH_SIZE`: Scalar
        `SUM` divided by number of elements in losses. This reduction type is
        not supported when used with `tf.distribute.Strategy` outside of
        built-in training loops like `tf.keras` `compile`/`fit`.

2CF4..2CF8    ; disallowed                             # NA   <reserved-2CF4>..<reserved-2CF8>
2CF9..2CFF    ; valid                  ;      ; NV8    # 4.1  COPTIC OLD NUBIAN FULL STOP..COPTIC MORPHOLOGICAL DIVIDER
2D00..2D25    ; valid                                  # 4.1  GEORGIAN SMALL LETTER AN..GEORGIAN SMALL LETTER HOE
2D26          ; disallowed                             # NA   <reserved-2D26>