signedRadix16() [64]int8 { b := s.Bytes() if b[31] > 127 { panic("scalar has high bit set illegally") } var digits [64]int8 // Compute unsigned radix-16 digits: for i := 0; i < 32; i++ { digits[2*i] = int8(b[i] & 15) digits[2*i+1] = int8((b[i] >> 4) & 15) } // Recenter coefficients: for i := 0; i < 63; i++ { carry := (digits[i] + 8) >> 4 digits[i] -= carry << 4 digits[i+1] += carry } return digits } golang.org/fips140@v1.0.0/fips140/v1.0.0/edwards25519/scalar_alias_test.go // Copyright (c) 2019 The Go...

0.15);\n  border-radius: 0.25rem;\n}\n\n.dropdown-menu-left {\n  right: auto;\n  left: 0;\n}\n\n.dropdown-menu-right {\n  right: 0;\n  left: auto;\n}\n\n@media (min-width: 576px) {\n  .dropdown-menu-sm-left {\n    right: auto;\n    left: 0;\n  }\n  .dropdown-menu-sm-right {\n    right: 0;\n    left: auto;\n  }\n}\n\n@media (min-width: 768px) {\n  .dropdown-menu-md-left {\n    right: auto;\n    left: 0;\n  }\n  .dropdown-menu-md-right {\n    right: 0;\n    left: auto;\n  }\n}\n\n@media (min-width: 992px)...

margin-top: 3rem !important;\n}\n\n.mt-auto {\n  margin-top: auto !important;\n}\n\n.me-0 {\n  margin-right: 0 !important;\n}\n\n.me-1 {\n  margin-right: 0.25rem !important;\n}\n\n.me-2 {\n  margin-right: 0.5rem !important;\n}\n\n.me-3 {\n  margin-right: 1rem !important;\n}\n\n.me-4 {\n  margin-right: 1.5rem !important;\n}\n\n.me-5 {\n  margin-right: 3rem !important;\n}\n\n.me-auto {\n  margin-right: auto !important;\n}\n\n.mb-0 {\n  margin-bottom: 0 !important;\n}\n\n.mb-1 {\n  margin-bottom: 0.25rem...

2500..2595    ; valid                  ;      ; NV8    # 1.1  BOX DRAWINGS LIGHT HORIZONTAL..RIGHT ONE EIGHTH BLOCK
2596..259F    ; valid                  ;      ; NV8    # 3.2  QUADRANT LOWER LEFT..QUADRANT UPPER RIGHT AND LOWER LEFT AND LOWER RIGHT
25A0..25EF    ; valid                  ;      ; NV8    # 1.1  BLACK SQUARE..LARGE CIRCLE

        `tf.keras.mixed_precision.experimental.LossScaleOptimizer`, the weights
        of the `DynanmicLossScale` are copied into the `LossScaleOptimizer`
        instead of being reused. This means modifying the weights of the
        `DynamicLossScale` will no longer affect the weights of the
        LossScaleOptimizer, and vice versa.

## Changes by Kind

### Bug or Regression

- Fix race condition in scheduler where a new unschedulable Pod might never be retried. ([#105015](https://github.com/kubernetes/kubernetes/pull/105015), [@alculquicondor](https://github.com/alculquicondor)) [SIG Apps, Scheduling and Testing]
- Fix: skip case sensitivity when checking Azure NSG rules

    * If you depended on that previous behavior, you might need to update your code. As always, make sure your tests pass before merging the upgrade.

## 0.90.1

### Upgrades