max-media-query {\n      @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}), (#{$rfs-mq-property-height}: #{$rfs-mq-value}) {\n        @content;\n      }\n    }\n    @else {\n      @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}) and (#{$rfs-mq-property-height}: #{$rfs-mq-value}) {\n        @content;\n      }\n    }\n  }\n  @else {\n    @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}) {\n      @content;\n    }\n  }\n}\n\n// Internal mixin that adds disable classes to the selector if needed.\n@mixin...

corresponding coefficient. if u.IsOdd() == no { rshift1(u, 0) if A.IsOdd() == yes || B.IsOdd() == yes { rshift1(A, A.add(m)) rshift1(B, B.add(a)) } else { rshift1(A, 0) rshift1(B, 0) } } else { // v.IsOdd() == no rshift1(v, 0) if C.IsOdd() == yes || D.IsOdd() == yes { rshift1(C, C.add(m)) rshift1(D, D.add(a)) } else { rshift1(C, 0) rshift1(D, 0) } } if v.IsZero() == yes { return u, A, nil } } } //go:norace func rshift1(a *Nat, carry uint) { size := len(a.limbs) aLimbs := a.limbs[:size] for i := range...

corresponding coefficient. if u.IsOdd() == no { rshift1(u, 0) if A.IsOdd() == yes || B.IsOdd() == yes { rshift1(A, A.add(m)) rshift1(B, B.add(a)) } else { rshift1(A, 0) rshift1(B, 0) } } else { // v.IsOdd() == no rshift1(v, 0) if C.IsOdd() == yes || D.IsOdd() == yes { rshift1(C, C.add(m)) rshift1(D, D.add(a)) } else { rshift1(C, 0) rshift1(D, 0) } } if v.IsZero() == yes { return u, A, nil } } } //go:norace func rshift1(a *Nat, carry uint) { size := len(a.limbs) aLimbs := a.limbs[:size] for i := range...

&,\n    .disable-responsive-font-size &,\n    &.disable-responsive-font-size {\n      @content;\n    }\n  }\n  @else {\n    @content;\n  }\n}\n\n// Internal mixin that adds enable classes to the selector if needed.\n@mixin _rfs-enable-class {\n  @if $rfs-class == \"enable\" {\n    .enable-responsive-font-size &,\n    &.enable-responsive-font-size {\n      @content;\n    }\n  }\n  @else {\n    @content;\n  }\n}\n\n// Internal mixin used to determine which media query needs to be used\n@mixin _rfs...

    *   Renaming of tensorflow::int64 to int_64_t in numerous places (the former
        is an alias for the latter) which could result in needing to regenerate
        selective op registration headers else execution would fail with
        unregistered kernels error.

*   Modular File System Migration:

    *   Support for S3 and HDFS file systems has been migrated to a modular file

* 📝 Simplify example for docs for Additional Responses, remove unnecessary `else`. PR [#4693](https://github.com/tiangolo/fastapi/pull/4693) by [@adriangb](https://github.com/adriangb).