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src/main/webapp/css/admin/bootstrap.min.css.map
}\n }\n\n &:empty::after {\n margin-left: 0;\n }\n }\n}\n","// Horizontal dividers\n//\n// Dividers (basically an hr) within dropdowns and nav lists\n\n@mixin nav-divider($color: $nav-divider-color, $margin-y: $nav-divider-margin-y, $ignore-warning: false) {\n height: 0;\n margin: $margin-y 0;\n overflow: hidden;\n border-top: 1px solid $color;\n @include deprecate(\"The `nav-divider()` mixin\", \"v4.4.0\", \"v5\", $ignore-warning);\n}\n","// stylelint-disable selector-no-q...
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src/main/webapp/css/bootstrap.min.css.map
}\n }\n\n &:empty::after {\n margin-left: 0;\n }\n }\n}\n","// Horizontal dividers\n//\n// Dividers (basically an hr) within dropdowns and nav lists\n\n@mixin nav-divider($color: $nav-divider-color, $margin-y: $nav-divider-margin-y, $ignore-warning: false) {\n height: 0;\n margin: $margin-y 0;\n overflow: hidden;\n border-top: 1px solid $color;\n @include deprecate(\"The `nav-divider()` mixin\", \"v4.4.0\", \"v5\", $ignore-warning);\n}\n","// stylelint-disable selector-no-q...
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okhttp-idna-mapping-table/src/main/resources/okhttp3/internal/idna/IdnaMappingTable.txt
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src/main/webapp/css/admin/adminlte.min.css
y::after{margin-left:0}.dropleft .dropdown-toggle::before{vertical-align:0}.dropdown-menu[x-placement^=bottom],.dropdown-menu[x-placement^=left],.dropdown-menu[x-placement^=right],.dropdown-menu[x-placement^=top]{right:auto;bottom:auto}.dropdown-divider{height:0;margin:.5rem 0;overflow:hidden;border-top:1px solid #e9ecef}.dropdown-item{display:block;width:100%;padding:.25rem 1rem;clear:both;font-weight:400;color:#212529;text-align:inherit;white-space:nowrap;background-color:transparent;border:0}...
CSS - Registered: Mon Apr 29 08:04:11 GMT 2024 - Last Modified: Fri Feb 07 10:28:50 GMT 2020 - 641.1K bytes - Viewed (2) -
RELEASE.md
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`.
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