}];
  let dependentDialects = ["mlir::stablehlo::StablehloDialect"];
}

def InsertWeightParamPass : Pass<"stablehlo-insert-weight-param", "mlir::func::FuncOp"> {
  let summary = "Insert quantization parameters of weights for weight-only quantization and dynamic range quantization.";
  let dependentDialects = [
      "mlir::stablehlo::StablehloDialect",
      "TF::TensorFlowDialect",

			{Name: names.TaintToleration, Weight: 3},
			{Name: names.NodeAffinity, Weight: 2},
			{Name: names.NodePorts},
			{Name: names.NodeResourcesFit, Weight: 1},
			{Name: names.VolumeRestrictions},
			{Name: names.NodeVolumeLimits},
			{Name: names.VolumeBinding},
			{Name: names.VolumeZone},
			{Name: names.PodTopologySpread, Weight: 2},
			{Name: names.InterPodAffinity, Weight: 2},
			{Name: names.DefaultPreemption},

	}
	return
}

func validateRouteDestinations(weights []*networking.RouteDestination, gatewaySemantics bool) (errs error) {
	var totalWeight int32
	for _, weight := range weights {
		if weight == nil {
			errs = multierror.Append(errs, errors.New("weight may not be nil"))
			continue
		}
		if weight.Destination == nil {

				weights := make([]int, 0)
				for _, localityEndpoint := range cluster.LoadAssignment.Endpoints {
					weights = append(weights, int(localityEndpoint.LoadBalancingWeight.GetValue()))
				}
				if !reflect.DeepEqual(weights, tt.expected) {
					t.Errorf("Got weights %v expected %v", weights, tt.expected)
				}
			})
		}
	})

          number: 4209
      weight: 100
  - match:
    - uri:
        exact: /sub/path
    route:
    - destination:
        host: service1.ns.svc.mydomain
        port:
          number: 4201
      weight: 100
  - match:
    - uri:
        exact: /sub/path
    route:
    - destination:
        host: service1.ns.svc.mydomain
        port:
          number: 4206
      weight: 100
  - match:
    - uri:

from fastapi import FastAPI

app = FastAPI()


@app.post("/index-weights/")
async def create_index_weights(weights: dict[int, float]):

# Mapping of signature def key -> SignatureDef.
_SignatureDefMap = Mapping[str, meta_graph_pb2.SignatureDef]

# Default minimum number of elements in the weights for them to be quantized
# during dynamic range quantization (DRQ) and weight-only quantization.
_DYNAMIC_RANGE_DEFAULT_MIN_NUM_ELEMENTS_FOR_WEIGHTS = 1024


def _is_qat_saved_model(saved_model_path: str):

						{Name: names.PodTopologySpread, Weight: ptr.To[int32](2)},
						{Name: names.InterPodAffinity, Weight: ptr.To[int32](2)},
						{Name: names.DefaultPreemption},
						{Name: names.NodeResourcesBalancedAllocation, Weight: ptr.To[int32](1)},
						{Name: names.ImageLocality, Weight: ptr.To[int32](1)},
						{Name: names.DefaultBinder},
					},
				},
			},
		},
		{
			name: "Feature gate DynamicResourceAllocation enabled",

def test_post_body(client: TestClient):
    data = {"2": 2.2, "3": 3.3}
    response = client.post("/index-weights/", json=data)
    assert response.status_code == 200, response.text
    assert response.json() == data


def test_post_invalid_body(client: TestClient):
    data = {"foo": 2.2, "3": 3.3}
    response = client.post("/index-weights/", json=data)
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(

  font-style: italic;
  font-weight: 100;
  src: local('Roboto Thin Italic'), local('Roboto-ThinItalic'), url(https://fonts.gstatic.com/s/roboto/v19/KFOiCnqEu92Fr1Mu51QrEz0dL-vwnYh2eg.woff2) format('woff2');
  unicode-range: U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F;
}
/* cyrillic */
@font-face {
  font-family: 'Roboto';
  font-style: italic;
  font-weight: 100;