contain your columns.\n\n:root {\n  @each $name, $value in $grid-breakpoints {\n    --#{$prefix}breakpoint-#{$name}: #{$value};\n  }\n}\n\n@if $enable-grid-classes {\n  .row {\n    @include make-row();\n\n    > * {\n      @include make-col-ready();\n    }\n  }\n}\n\n@if $enable-cssgrid {\n  .grid {\n    display: grid;\n    grid-template-rows: repeat(var(--#{$prefix}rows, 1), 1fr);\n    grid-template-columns: repeat(var(--#{$prefix}columns, #{$grid-columns}), 1fr);\n    gap: var(--#{$prefix}gap, #{$gri...

@include media-breakpoint-down($name, $breakpoints) {\n      @content;\n    }\n  }\n}\n","// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `$grid-columns`.\n\n@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {\n  // Common properties for all breakpoints\n  %grid-column {\n    position: relative;\n    width: 100%;\n    padding-right: $gutter * .5;\n    padding-left:...

    of other integer types) in `tf.constant`.
*   Make the `gain` argument of convolutional orthogonal initializers
    (`convolutional_delta_orthogonal`, `convolutional_orthogonal_1D`,
    `convolutional_orthogonal_2D`, `convolutional_orthogonal_3D`) have
    consistent behavior with the `tf.initializers.orthogonal` initializer, i.e.
    scale the output l2-norm by `gain` and NOT by `sqrt(gain)`. (Note that these

2F71          ; mapped                 ; 79B8          # 3.0  KANGXI RADICAL TRACK
2F72          ; mapped                 ; 79BE          # 3.0  KANGXI RADICAL GRAIN
2F73          ; mapped                 ; 7A74          # 3.0  KANGXI RADICAL CAVE
2F74          ; mapped                 ; 7ACB          # 3.0  KANGXI RADICAL STAND