which is a NumPy-compatible API for writing TF programs. This module
    provides class `ndarray`, which mimics the `ndarray` class in NumPy, and
    wraps an immutable `tf.Tensor` under the hood. A subset of NumPy functions
    (e.g. `numpy.add`) are provided. Their inter-operation with TF facilities is
    seamless in most cases. See

- Provides a fix to allow a cluster in a private Azure cloud to authenticate to ACR in the same cloud. ([#90425](https://github.com/kubernetes/kubernetes/pull/90425), [@DavidParks8](https://github.com/DavidParks8)) [SIG Cloud Provider]

            oneOf:
            - not:
                anyOf:
                - required:
                  - provider
            - required:
              - provider
            properties:
              action:
                description: |-
                  Optional.

                  Valid Options: ALLOW, DENY, AUDIT, CUSTOM

     .col#{$infix}-#{$i} {\n          @extend %grid-column;\n        }\n      }\n    }\n\n    .col#{$infix},\n    .col#{$infix}-auto {\n      @extend %grid-column;\n    }\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex-basis: 0;\n        flex-grow: 1;\n        max-width: 100%;\n      }\n\n      @if $grid-row-columns > 0 {\n        @for $i from 1 through $grid-row-columns...

through $columns {\n      .col#{$infix}-#{$i} {\n        @extend %grid-column;\n      }\n    }\n    .col#{$infix},\n    .col#{$infix}-auto {\n      @extend %grid-column;\n    }\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex-basis: 0;\n        flex-grow: 1;\n        max-width: 100%;\n      }\n\n      @for $i from 1 through $grid-row-columns {\n        .row-cols#{$infix}-#{$i}...