// is an int, which is safe as (x+y-1)/y should always fit, regardless // of the integer size. func divRoundUp(x, y int) int { return int((int64(x) + int64(y) - 1) / int64(y)) } func Key[Hash hash.Hash](h func() Hash, password string, salt []byte, iter, keyLength int) ([]byte, error) { setServiceIndicator(salt, keyLength) if keyLength <= 0 { return nil, errors.New("pkbdf2: keyLength must be larger than 0") } prf := hmac.New(h, []byte(password)) hmac.MarkAsUsedInKDF(prf) hashLen := prf.Size() numBlocks...

#d6d8db;\n}\n\n.list-group-item-secondary.list-group-item-action:hover, .list-group-item-secondary.list-group-item-action:focus {\n  color: #383d41;\n  background-color: #c8cbcf;\n}\n\n.list-group-item-secondary.list-group-item-action.active {\n  color: #fff;\n  background-color: #383d41;\n  border-color: #383d41;\n}\n\n.list-group-item-success {\n  color: #155724;\n  background-color: #c3e6cb;\n}\n\n.list-group-item-success.list-group-item-action:hover, .list-group-item-success.list-group-item-action:focus {\n...

is an int, which is safe as (x+y-1)/y should always fit, regardless // of the integer size. func divRoundUp(x, y int) int { return int((int64(x) + int64(y) - 1) / int64(y)) } func Key[Hash fips140.Hash](h func() Hash, password string, salt []byte, iter, keyLength int) ([]byte, error) { setServiceIndicator(salt, keyLength) if keyLength <= 0 { return nil, errors.New("pkbdf2: keyLength must be larger than 0") } prf := hmac.New(h, []byte(password)) hmac.MarkAsUsedInKDF(prf) hashLen := prf.Size() numBlocks...

ousel-item-start),\n.active.carousel-item-end {\n  transform: translateX(100%);\n}\n\n.carousel-item-prev:not(.carousel-item-end),\n.active.carousel-item-start {\n  transform: translateX(-100%);\n}\n\n.carousel-fade .carousel-item {\n  opacity: 0;\n  transition-property: opacity;\n  transform: none;\n}\n.carousel-fade .carousel-item.active,\n.carousel-fade .carousel-item-next.carousel-item-start,\n.carousel-fade .carousel-item-prev.carousel-item-end {\n  z-index: 1;\n  opacity: 1;\n}\n.carousel-fade...

from pydantic.v1 import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None


class ItemV2(BaseModelV2):
    title: str
    summary: str | None = None


app = FastAPI()


@app.post("/items/", response_model=ItemV2)
def create_item(item: Item):
    return {"title": item.name, "summary": item.description}
```

- It is now possible to use the service annotation `cloud.google.com/network-tier: Standard` to configure the Network Tier of the GCE Loadbalancer ([#88532](https://github.com/kubernetes/kubernetes/pull/88532), [@zioproto](https://github.com/zioproto)) [SIG Cloud Provider, Network and Testing]

0F00          ; valid                                  # 2.0  TIBETAN SYLLABLE OM
0F01..0F0A    ; valid                  ;      ; NV8    # 2.0  TIBETAN MARK GTER YIG MGO TRUNCATED A..TIBETAN MARK BKA- SHOG YIG MGO
0F0B          ; valid                                  # 2.0  TIBETAN MARK INTERSYLLABIC TSHEG

    provides class `ndarray`, which mimics the `ndarray` class in NumPy, and
    wraps an immutable `tf.Tensor` under the hood. A subset of NumPy functions
    (e.g. `numpy.add`) are provided. Their inter-operation with TF facilities is
    seamless in most cases. See
    [tensorflow/python/ops/numpy_ops/README.md](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/numpy_ops/README.md)