{\n    opacity: $carousel-indicator-active-opacity;\n  }\n}\n\n\n// Optional captions\n//\n//\n\n.carousel-caption {\n  position: absolute;\n  right: (100% - $carousel-caption-width) * .5;\n  bottom: $carousel-caption-spacer;\n  left: (100% - $carousel-caption-width) * .5;\n  padding-top: $carousel-caption-padding-y;\n  padding-bottom: $carousel-caption-padding-y;\n  color: $carousel-caption-color;\n  text-align: center;\n}\n\n// Dark mode carousel\n\n@mixin carousel-dark() {\n  .carousel-control-prev-icon,\n...

valid unit for $rfs-breakpoint-unit. Use `px`, `em` or `rem`.\";\n}\n\n// Resize font size based on screen height and width\n$rfs-two-dimensional: false !default;\n\n// Factor of decrease\n$rfs-factor: 10 !default;\n\n@if type-of($rfs-factor) != \"number\" or $rfs-factor <= 1 {\n  @error \"`#{$rfs-factor}` is not a valid  $rfs-factor, it must be greater than 1.\";\n}\n\n// Generate enable or disable classes. Possibilities: false, \"enable\" or \"disable\"\n$rfs-class: false !default;\n\n// 1 rem =...

    *   Refactor `TpuClusterResolver` to move shared logic to a separate pip
        package.
    *   Support configuring TPU software version from cloud tpu client.
    *   Allowed TPU embedding weight decay factor to be multiplied by learning
        rate.
*   XLA Support:
    *   Add standalone XLA AOT runtime target + relevant .cc sources to pip
        package.

coefficients stay in bounds. // 4. Replace the [u >= v] check with [u > v]. This changes the end // condition to [v = 0] rather than [u = 0]. This saves an extra // subtraction due to which coefficients were negated. // 5. Rename x and y to a and n, to capture that one is a modulus. // 6. Rearrange steps 4 through 6 slightly. Merge the loops in steps 4 and // 5 into the main loop (step 7's goto), and move step 6 to the start of // the loop iteration, ensuring each loop iteration halves at least one // value....

- Fix the `cloudprovider_azure_api_request_duration_seconds` metric buckets to correctly capture the latency metrics. Previously, the majority of the calls would fall in the "+Inf" bucket. ([#94943](https://github.com/kubernetes/kubernetes/pull/94943), [@marwanad](https://github.com/marwanad)) [SIG Cloud Provider and Instrumentation]