nio-Internal-Server-Side-Encryption-Seal-Algorithm�DAREv2-HMAC-SHA256�&x-minio-internal-replication-timestamp�2023-08-18T00:09:42.389168293Z�#x-minio-internal-replication-status�^arn:minio:replication::36280125-1e9d-414e-bff5-8c88a1b5352e:disney-prod-vod-repository=FAILED;�5X-Minio-Internal-Server-Side-Encryption-S3-Kms-Key-Id�minio_encrypt_key�$X-Minio-Internal-Encrypted-Multipart��9X-Minio-Internal-Server-Side-Encryption-S3-Kms-Sealed-Key��eyJhZWFkIjoiQUVTLTI1Ni1HQ00tSE1BQy1TSEEtMjU2IiwiaX...

breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    @each $prop, $abbrev in (margin: m, padding: p) {\n      @each $size, $length in $spacers {\n        .#{$abbrev}#{$infix}-#{$size} { #{$prop}: $length !important; }\n        .#{$abbrev}t#{$infix}-#{$size},\n        .#{$abbrev}y#{$infix}-#{$size} {\n          #{$prop}-top: $length !important;\n        }\n        .#{$abbrev}r#{$infix}-#{$size},\n        .#{$abbrev}x#{$infix}-#{$size} {\n          #{$prop}-right: $length !important;\n        }\n        .#...

    *   XLA reduction emitter is deterministic when the environment variable
        `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends
        deterministic `tf.nn.bias_add` back-prop functionality (and therefore
        also deterministic back-prop of bias-addition in Keras layers) to
        include when XLA JIT compilation is enabled.
    *   Fix problem, when running on a CUDA GPU and when either environment

var(--#{$prefix}dropdown-padding-y) var(--#{$prefix}dropdown-padding-x);\n  margin: 0; // Override default margin of ul\n  @include font-size(var(--#{$prefix}dropdown-font-size));\n  color: var(--#{$prefix}dropdown-color);\n  text-align: left; // Ensures proper alignment if parent has it changed (e.g., modal footer)\n  list-style: none;\n  background-color: var(--#{$prefix}dropdown-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}dropdown-border-width) solid var(--#{$prefix}dropdown-border-color);\n...

## 0.101.0

### Features

* ✨ Enable Pydantic's serialization mode for responses, add support for Pydantic's `computed_field`, better OpenAPI for response models, proper required attributes, better generated clients. PR [#10011](https://github.com/tiangolo/fastapi/pull/10011) by [@tiangolo](https://github.com/tiangolo).

### Refactors

### Production images moved to community control

As of Kuberenetes v1.19, Kubernetes container images are stored on a community-controlled storage bucket, 
located at `{asia,eu,us}.gcr.io/k8s-artifacts-prod`. The `k8s.gcr.io` vanity domain has been updated 
to this new bucket. This brings production artifacts under community control.

### KubeSchedulerConfiguration graduates to Beta

[]byte { // This function is outlined to make the allocations inline in the caller // rather than happen on the heap. var out [p256UncompressedLeng]byte return p.bytes(&out) } func (p *P256Point) bytes(out *[p256UncompressedLeng]byte) []byte { // The proper representation of the point at infinity is a single zero byte. if p.isInfinity() == 1 { return append(out[:0], 0) } x, y := new(p256Element), new(p256Element) p.affineFromMont(x, y) out[0] = 4 // Uncompressed form. p256LittleToBig((*[32]byte)(out[1:33]),...

[]byte { // This function is outlined to make the allocations inline in the caller // rather than happen on the heap. var out [p256UncompressedLeng]byte return p.bytes(&out) } func (p *P256Point) bytes(out *[p256UncompressedLeng]byte) []byte { // The proper representation of the point at infinity is a single zero byte. if p.isInfinity() == 1 { return append(out[:0], 0) } x, y := new(p256Element), new(p256Element) p.affineFromMont(x, y) out[0] = 4 // Uncompressed form. p256LittleToBig((*[32]byte)(out[1:33]),...