- required:
                                  - prefix
                                - required:
                                  - regex
                            - required:
                              - exact
                            - required:
                              - prefix
                            - required:
                              - regex

- Dockershim security: pod sandbox now always run with `no-new-privileges` and `runtime/default` seccomp profile
  dockershim seccomp: custom profiles can now have smaller seccomp profiles when set at pod level ([#90948](https://github.com/kubernetes/kubernetes/pull/90948), [@pjbgf](https://github.com/pjbgf)) [SIG Node]

s/2383#issuecomment-336349172\n  --font-family-sans-serif: #{inspect($font-family-sans-serif)};\n  --font-family-monospace: #{inspect($font-family-monospace)};\n}\n","// stylelint-disable at-rule-no-vendor-prefix, declaration-no-important, selector-no-qualifying-type, property-no-vendor-prefix\n\n// Reboot\n//\n// Normalization of HTML elements, manually forked from Normalize.css to remove\n// styles targeting irrelevant browsers while applying new styles.\n//\n// Normalize is licensed MIT. http...

 @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width. Null for the largest (last) breakpoint.\n// The maximum value is calculated as the minimum of the next one less 0.02px\n// to work around the limitations of `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >>...

        `padded_batch()`. This functionality can be enabled through
        `tf.data.Options()`.
    *   Support cancellation of long-running `reduce`.
    *   Now we use `dataset` node name as prefix instead of the op name, to
        identify the component correctly in metrics, for pipelines with repeated
        components.
    *   Improve the performance of datasets using `from_tensors()`.