apiVersion: release-notes/v2
kind: bug-fix
area: traffic-management

issue:
  - https://github.com/istio/istio/issues/47433

releaseNotes:
- |

/// types.
bool IsBroadcastableElementsAttrs(mlir::TypedAttr a, mlir::TypedAttr b);
// Returns true if every dimension of the attribute is 1 except the last one.
bool IsDimensionsDegenerateExceptLastOne(mlir::TypedAttr val);
// Returns true if every element is 1 except the last one.
bool IsDimensionsDegenerateExceptLastOne(ArrayRef<int64_t> elements_shape);

}  // end namespace TFL

from docs_src.query_params.tutorial005 import app

client = TestClient(app)


def test_foo_needy_very():
    response = client.get("/items/foo?needy=very")
    assert response.status_code == 200
    assert response.json() == {"item_id": "foo", "needy": "very"}


def test_foo_no_needy():
    response = client.get("/items/foo")
    assert response.status_code == 422
    assert response.json() == IsDict(
        {

   "kind": "ConfigMap",
   "data": {
      "k": "v"
   }
}`), &u)
				if err != nil {
					panic(err)
				}
				for i := 0; i < 9999; i++ {
					unique := fmt.Sprintf("this-key-is-very-long-so-as-to-create-a-very-large-serialized-fieldset-%v", i)
					unstructured.SetNestedField(u.Object, "A", "data", unique)
				}
				return u
			}(),
		},
		{

// PolicyRule maps requests based off metadata to an audit Level.
// Requests must match the rules of every field (an intersection of rules).
message PolicyRule {
  // The Level that requests matching this rule are recorded at.
  optional string level = 1;

  // The users (by authenticated user name) this rule applies to.
  // An empty list implies every user.
  // +optional
  // +listType=atomic
  repeated string users = 2;

}
-- .Output --
Hello, world!
-- Limiter.Play --
package main

import (
	"fmt"
	tm "time"

	r "golang.org/x/time/rate"
)

func main() {
	// Uses fmt, time and rate.
	l := r.NewLimiter(r.Every(tm.Second), 1)
	fmt.Println(l)

    * Although it's probably not very problematic here with the way `SQLAlchemy` works.
    * But if you added more code to the middleware that had a lot of <abbr title="input and output">I/O</abbr> waiting, it could then be problematic.
* A middleware is run for *every* request.
    * So, a connection will be created for every request.

## Composition by architecture modules

Each [architecture module and platform](platforms.md) can contribute code to any of the runtimes.
Not every module contributes to every runtime.

The core-runtime module defines each runtime:

- The target JVM for the runtime. Each runtime has its own JVM compatibility constraints.

# Dependencies

**FastAPI** has a very powerful but intuitive **<abbr title="also known as components, resources, providers, services, injectables">Dependency Injection</abbr>** system.

It is designed to be very simple to use, and to make it very easy for any developer to integrate other components with **FastAPI**.

## What is "Dependency Injection"

    return client


@needs_pydanticv1
def test_post_body_example(client: TestClient):
    response = client.put(
        "/items/5",
        json={
            "name": "Foo",
            "description": "A very nice Item",
            "price": 35.4,
            "tax": 3.2,
        },
    )
    assert response.status_code == 200


@needs_pydanticv1
def test_openapi_schema(client: TestClient):