## 0.84.0 (2022-09-14)

### Breaking Changes

This version of FastAPI drops support for Python 3.6. 🔥 Please upgrade to a supported version of Python (3.7 or above), Python 3.6 reached the end-of-life a long time ago. 😅☠

* 🔧 Update package metadata, drop support for Python 3.6, move build internals from Flit to Hatch. PR [#5240](https://github.com/tiangolo/fastapi/pull/5240) by [@ofek](https://github.com/ofek).

coverage tests, check that we hit all rejection paths. reached := map[string]bool{"z": false, "r0": false, "ct0": false, "h": false} // The ct0 rejection is only reachable for ML-DSA-44. if priv.PublicKey().Parameters() != "ML-DSA-44" { delete(reached, "ct0") } testingOnlyRejection = func(reason string) { t.Log(reason, "rejection") reached[reason] = true } t.Cleanup(func() { testingOnlyRejection = nil }) defer func() { for reason, hit := range reached { if !hit { t.Errorf("Rejection path %q not hit",...

in $grid-breakpoints {\n        @if ($extend-breakpoint) {\n          .container#{breakpoint-infix($name, $grid-breakpoints)} {\n            @extend %responsive-container-#{$breakpoint};\n          }\n\n          // Once the current breakpoint is reached, stop extending\n          @if ($breakpoint == $name) {\n            $extend-breakpoint: false;\n          }\n        }\n      }\n    }\n  }\n}\n","// Container mixins\n\n@mixin make-container($gutter: $container-padding-x) {\n  --#{$prefix}gutter-x:...

in $grid-breakpoints {\n        @if ($extend-breakpoint) {\n          .container#{breakpoint-infix($name, $grid-breakpoints)} {\n            @extend %responsive-container-#{$breakpoint};\n          }\n\n          // Once the current breakpoint is reached, stop extending\n          @if ($breakpoint == $name) {\n            $extend-breakpoint: false;\n          }\n        }\n      }\n    }\n  }\n}\n\n\n// Row\n//\n// Rows contain your columns.\n\n@if $enable-grid-classes {\n  .row {\n    @include make-row();\n...

 - reach GA, and deprecate the beta, or
 - have a new beta version _(and deprecate the previous beta)_.

    same implementation as their `tf.losses` equivalent.
*   For Keras model, the individual call of `Model.evaluate` uses no cached data
    for evaluation, while `Model.fit` uses cached data when `validation_data`
    arg is provided for better performance.
*   Adds a `save_traces` argument to `model.save`/ `tf.keras.models.save_model`

// Add sets v = p + q, and returns v. func (v *Point) Add(p, q *Point) *Point { checkInitialized(p, q) qCached := new(projCached).FromP3(q) result := new(projP1xP1).Add(p, qCached) return v.fromP1xP1(result) } // Subtract sets v = p - q, and returns v. func (v *Point) Subtract(p, q *Point) *Point { checkInitialized(p, q) qCached := new(projCached).FromP3(q) result := new(projP1xP1).Sub(p, qCached) return v.fromP1xP1(result) } func (v *projP1xP1) Add(p *Point, q *projCached) *projP1xP1 { var YplusX,...