0679..06B7    ; valid                                  # 1.1  ARABIC LETTER TTEH..ARABIC LETTER LAM WITH THREE DOTS ABOVE
06B8..06B9    ; valid                                  # 3.0  ARABIC LETTER LAM WITH THREE DOTS BELOW..ARABIC LETTER NOON WITH DOT BELOW
06BA..06BE    ; valid                                  # 1.1  ARABIC LETTER NOON GHUNNA..ARABIC LETTER HEH DOACHASHMEE

    and a [python tracer](https://www.tensorflow.org/guide/profiler#events)
    which allows you to trace python function calls in your model. Usability
    improvements include better diagnostic messages and
    [profile options](https://tensorflow.org/guide/profiler#collect_performance_data)
    to customize the host and device trace verbosity level.

*   Introduces experimental support for Keras Preprocessing Layers API

inline add, addMulVVW, // assign, cmpGeq, rshift1, and sub. // choice represents a constant-time boolean. The value of choice is always // either 1 or 0. We use an int instead of bool in order to make decisions in // constant time by turning it into a mask. type choice uint func not(c choice) choice { return 1 ^ c } const yes = choice(1) const no = choice(0) // ctMask is all 1s if on is yes, and all 0s otherwise. func ctMask(on choice) uint { return -uint(on) } // ctEq returns 1 if x == y, and 0 otherwise....

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


@app.get("/items/")
async def read_items() -> list[Item]:
    return [
        Item(name="Portal Gun", price=42.0),
        Item(name="Plumbus", price=32.0),
    ]
```

FastAPI will use the return type annotation to perform:

* Data validation

```yaml
securityContext:
  seccompProfile:
    type: RuntimeDefault|Localhost|Unconfined # choose one of the three
    localhostProfile: my-profiles/profile-allow.json # only necessary if type == Localhost
```

{\n  background-image: linear-gradient($deg, $start-color, $end-color);\n  background-repeat: repeat-x;\n}\n@mixin gradient-x-three-colors($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,...

$gray-700, $end-color: $gray-800, $deg: 45deg) {\n  background-image: linear-gradient($deg, $start-color, $end-color);\n}\n\n@mixin gradient-x-three-colors($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...