- Kubeadm: remove the CoreDNS check for known image digests when applying the addon ([#94506](https://github.com/kubernetes/kubernetes/pull/94506), [@neolit123](https://github.com/neolit123)) [SIG Cluster Lifecycle]

## Dependencies

### Added
_Nothing has changed._

### Changed

z-index: 2;\n\n    &:focus {\n      z-index: 5;\n    }\n  }\n}\n\n\n// Textual addons\n//\n// Serves as a catch-all element for any text or radio/checkbox input you wish\n// to prepend or append to an input.\n\n.input-group-text {\n  display: flex;\n  align-items: center;\n  padding: $input-group-addon-padding-y $input-group-addon-padding-x;\n  @include font-size($input-font-size); // Match inputs\n  font-weight: $input-group-addon-font-weight;\n  line-height: $input-line-height;\n  color: $input-group-addon-color;\n...

default margin-bottom\n  @include font-size($input-font-size); // Match inputs\n  font-weight: $font-weight-normal;\n  line-height: $input-line-height;\n  color: $input-group-addon-color;\n  text-align: center;\n  white-space: nowrap;\n  background-color: $input-group-addon-bg;\n  border: $input-border-width solid $input-group-addon-border-color;\n  @include border-radius($input-border-radius);\n\n  // Nuke default margins from checkboxes and radios to vertically center within.\n  input[type=\"radio\"],\n...

*   `tf.contrib`:

    *   `tf.contrib` has been deprecated, and functionality has been either
        migrated to the core TensorFlow API, to an ecosystem project such as
        [tensorflow/addons](https://www.github.com/tensorflow/addons) or
        [tensorflow/io](https://www.github.com/tensorflow/io), or removed
        entirely.
    *   Remove `tf.contrib.timeseries` dependency on TF distributions.

t.Run(fmt.Sprintf("line %d", lineNum), func(t *testing.T) { if A == "0" || B == "0" { t.Skip("skipping test with zero input") } if LCM == "1" { t.Skip("skipping test with LCM=1") } p, _ := bigmod.NewModulus(addOne(decodeHex(t, A))) a, _ := bigmod.NewNat().SetBytes(decodeHex(t, A), p) q, _ := bigmod.NewModulus(addOne(decodeHex(t, B))) b, _ := bigmod.NewNat().SetBytes(decodeHex(t, B), q) gcd, err := bigmod.NewNat().GCDVarTime(a, b) // GCD doesn't work if a and b are both even, but LCM handles it. if err == nil...

t.Run(fmt.Sprintf("line %d", lineNum), func(t *testing.T) { if A == "0" || B == "0" { t.Skip("skipping test with zero input") } if LCM == "1" { t.Skip("skipping test with LCM=1") } p, _ := bigmod.NewModulus(addOne(decodeHex(t, A))) a, _ := bigmod.NewNat().SetBytes(decodeHex(t, A), p) q, _ := bigmod.NewModulus(addOne(decodeHex(t, B))) b, _ := bigmod.NewNat().SetBytes(decodeHex(t, B), q) gcd, err := bigmod.NewNat().GCDVarTime(a, b) // GCD doesn't work if a and b are both even, but LCM handles it. if err == nil...