* Before this, the return content was first passed through `jsonable_encoder` to ensure it was a "jsonable" object, like a `dict`, instead of an arbitrary object with attributes (like an ORM model). That's why you should make sure to update your Pydantic models for objects with attributes to use `orm_mode = True`.
        * If you don't have a `response_model`, the return object will still be passed through `jsonable_encoder` first.

appearance: none;\n\n    &:active {\n      @include gradient-bg($form-range-thumb-active-bg);\n    }\n  }\n\n  &::-webkit-slider-runnable-track {\n    width: $form-range-track-width;\n    height: $form-range-track-height;\n    color: transparent; // Why?\n    cursor: $form-range-track-cursor;\n    background-color: $form-range-track-bg;\n    border-color: transparent;\n    @include border-radius($form-range-track-border-radius);\n    @include box-shadow($form-range-track-box-shadow);\n  }\n\n  &::-moz-range-thumb...

100%;\n\n  > .form-control,\n  > .form-control-plaintext,\n  > .custom-select,\n  > .custom-file {\n    position: relative; // For focus state's z-index\n    flex: 1 1 auto;\n    width: 1%;\n    min-width: 0; // https://stackoverflow.com/questions/36247140/why-dont-flex-items-shrink-past-content-size\n    margin-bottom: 0;\n\n    + .form-control,\n    + .custom-select,\n    + .custom-file {\n      margin-left: -$input-border-width;\n    }\n  }\n\n  // Bring the \"active\" form control to the top of surrounding...

    *   Add an `errno`-like field to `NNAPI` delegate for detecting `NNAPI`
        errors for fallback behaviour.
    *   Refactors `NNAPI` Delegate to support detailed reason why an operation
        is not accelerated.
    *   Converts hardswish subgraphs into atomic ops.
*   Other
    *   Critical stability updates for TPUs, especially in cases where the XLA

"crypto/internal/impl" ) // amd64 assembly uses ADCX/ADOX/MULX if ADX is available to run two carry // chains in the flags in parallel across the whole operation, and aggressively // unrolls loops. arm64 processes four words at a time. // // It's unclear why the assembly for all other architectures, as well as for // amd64 without ADX, perform better than the compiler output. // TODO(filippo): file cmd/compile performance issue. var supportADX = cpu.X86HasADX && cpu.X86HasBMI2 func init() { if cpu.AMD64...

"crypto/internal/impl" ) // amd64 assembly uses ADCX/ADOX/MULX if ADX is available to run two carry // chains in the flags in parallel across the whole operation, and aggressively // unrolls loops. arm64 processes four words at a time. // // It's unclear why the assembly for all other architectures, as well as for // amd64 without ADX, perform better than the compiler output. // TODO(filippo): file cmd/compile performance issue. var supportADX = cpu.X86HasADX && cpu.X86HasBMI2 func init() { if cpu.AMD64...