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
```

0241          ; mapped                 ; 0242          # 4.1  LATIN CAPITAL LETTER GLOTTAL STOP
0242          ; valid                                  # 5.0  LATIN SMALL LETTER GLOTTAL STOP
0243          ; mapped                 ; 0180          # 5.0  LATIN CAPITAL LETTER B WITH STROKE
0244          ; mapped                 ; 0289          # 5.0  LATIN CAPITAL LETTER U BAR

* * T1 = Z1*Z1 * T2 = Z2*Z2 * U1 = X1*T2 * H = X2*T1 * H = H-U1 * Z3 = Z1*Z2 * Z3 = Z3*H << store-out Z3 result reg.. could override Z1, if slices have same backing array * * S1 = Z2*T2 * S1 = Y1*S1 * R = Z1*T1 * R = Y2*R * R = R-S1 * * T1 = H*H * T2 = H*T1 * U1 = U1*T1 * * X3 = R*R * X3 = X3-T2 * T1 = 2*U1 * X3 = X3-T1 << store-out X3 result reg * * T2 = S1*T2 * Y3 = U1-X3 * Y3 = R*Y3 * Y3 = Y3-T2 << store-out Y3 result reg // X=Z1; Y=Z1; MUL; T- // T1 = Z1*Z1 // X- ; Y=T ; MUL; R=T // R = Z1*T1...

        dispatches the best kernel implementation based on CPU vector
        architecture. To disable them, build with
        `--define=tensorflow_mkldnn_contraction_kernel=0`.
    *   `tf.linspace(start, stop, num)` now always uses "stop" as last value
        (for num > 1)
    *   Added top-k to precision and recall to keras metrics.
    *   Add a ragged size op and register it to the op dispatcher

  
  Kubeadm now includes CoreDNS version v1.7.0. Some of the major changes include:
  -  Fixed a bug that could cause CoreDNS to stop updating service records.
  -  Fixed a bug in the forward plugin where only the first upstream server is always selected no matter which policy is set.

$end-color);\n}\n\n@mixin gradient-x-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient(to right, $start-color, $mid-color $color-stop, $end-color);\n}\n\n@mixin gradient-y-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient($start-color, $mid-color $color-stop, $end-color);\n}\n\n@mixin gradient-radial($inner-color: $gray-700, $outer-color: $gray-800)...

repeat-x;\n}\n@mixin gradient-x-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient(to right, $start-color, $mid-color $color-stop, $end-color);\n  background-repeat: no-repeat;\n}\n@mixin gradient-y-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient($start-color, $mid-color $color-stop, $end-color);\n  background-repeat: no-repeat;\n}\n@mixin gradient-radial($inner-color:...