caret-down() {\n  border-top: $caret-width solid;\n  border-right: $caret-width solid transparent;\n  border-bottom: 0;\n  border-left: $caret-width solid transparent;\n}\n\n@mixin caret-up() {\n  border-top: 0;\n  border-right: $caret-width solid transparent;\n  border-bottom: $caret-width solid;\n  border-left: $caret-width solid transparent;\n}\n\n@mixin caret-right() {\n  border-top: $caret-width solid transparent;\n  border-right: 0;\n  border-bottom: $caret-width solid transparent;\n  border-left:...

--#{$prefix}btn-color: #{$btn-link-color};\n  --#{$prefix}btn-bg: transparent;\n  --#{$prefix}btn-border-color: transparent;\n  --#{$prefix}btn-hover-color: #{$btn-link-hover-color};\n  --#{$prefix}btn-hover-border-color: transparent;\n  --#{$prefix}btn-active-color: #{$btn-link-hover-color};\n  --#{$prefix}btn-active-border-color: transparent;\n  --#{$prefix}btn-disabled-color: #{$btn-link-disabled-color};\n  --#{$prefix}btn-disabled-border-color: transparent;\n  --#{$prefix}btn-box-shadow: 0 0 0 #000; // Can't...

        libraries and headers.
    *   TF code now resides in `tensorflow_core` and `tensorflow` is just a
        virtual pip package. No code changes are needed for projects using
        TensorFlow, the change is transparent
*   XLA
    *   XLA HLO graphs can be inspected with interactive_graphviz tool now.
*   Estimator
    *   Use tf.compat.v1.estimator.inputs instead of tf.estimator.inputs

from fastapi import FastAPI, Header
from pydantic import BaseModel

app = FastAPI()


class CommonHeaders(BaseModel):
    host: str
    save_data: bool
    if_modified_since: str | None = None
    traceparent: str | None = None
    x_tag: list[str] = []


@app.get("/items/")
async def read_items(headers: Annotated[CommonHeaders, Header()]):
    return headers
```