they arrived, with a great crowd assembled about them--all sorts
of little birds and beasts, as well as the whole pack of cards:
the Knave was standing before them, in chains, with a soldier on
each side to guard him; and near the King was the White Rabbit,
with a trumpet in one hand, and a scroll of parchment in the
other.  In the very middle of the court was a table, with a large

	default:
		return 4
	}
}

var v1 = f[string]("foo")   // v1 == 0
var v2 = f[byte]([]byte{})  // v2 == 2
</pre>

<p>
The type switch guard may be preceded by a simple statement, which
executes before the guard is evaluated.
</p>

<p>
The "fallthrough" statement is not permitted in a type switch.
</p>

<h3 id="For_statements">For statements</h3>

<p>

  // This must be a DNS_LABEL.
  optional string name = 1;

  // Source describes where to find the ResourceClaim.
  optional ClaimSource source = 2;
}

// PodSchedulingGate is associated to a Pod to guard its scheduling.
message PodSchedulingGate {
  // Name of the scheduling gate.
  // Each scheduling gate must have a unique name field.
  optional string name = 1;
}

### Translations

* 🌐 Add Ukrainian translation for `docs/uk/docs/tutorial/body.md`. PR [#4574](https://github.com/tiangolo/fastapi/pull/4574) by [@ss-o-furda](https://github.com/ss-o-furda).
* 🌐 Add Vietnamese translation for `docs/vi/docs/features.md` and `docs/vi/docs/index.md`. PR [#3006](https://github.com/tiangolo/fastapi/pull/3006) by [@magiskboy](https://github.com/magiskboy).

* Remove Initializers from admission-control in kubernetes-master charm for pre-1.7 ([#46987](https://github.com/kubernetes/kubernetes/pull/46987), [@Cynerva](https://github.com/Cynerva))
* Added state guards to the idle_status messaging in the kubernetes-master charm to make deployment faster on initial deployment. ([#47183](https://github.com/kubernetes/kubernetes/pull/47183), [@chuckbutler](https://github.com/chuckbutler))

*   Add support of local soft device placement for eager op.
*   Add HW acceleration support for `LogSoftMax`.
*   Added a function `nested_value_rowids` for ragged tensors.
*   Add guard to avoid acceleration of L2 Normalization with input rank != 4
*   Add `tf.math.cumulative_logsumexp operation`.
*   Add `tf.ragged.stack`.
*   Fix memory allocation problem when calling `AddNewInputConstantTensor`.

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