}
	return sys.collectPeerMetrics(ctx, peerChannels, g)
}

// ServiceFreeze freezes all S3 API calls when 'freeze' is true,
// 'freeze' is 'false' would resume all S3 API calls again.
// NOTE: once a tenant is frozen either two things needs to
// happen before resuming normal operations.
//   - Server needs to be restarted 'mc admin service restart'
//   - 'freeze' should be set to 'false' for this call

// Supports following actions:
// - restart (restarts all the MinIO instances in a setup)
// - stop (stops all the MinIO instances in a setup)
// - freeze (freezes all incoming S3 API calls)
// - unfreeze (unfreezes previously frozen S3 API calls)
func (a adminAPIHandlers) ServiceHandler(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

	vars := mux.Vars(r)
	action := vars["action"]

	var serviceSig serviceSignal

    to the layer came from a keras input.
*   Clean up `BatchNormalization` layer's `trainable` property to act like
    standard python state when it's used inside `tf.functions` (frozen at
    tracing time), instead of acting like a pseudo-variable whose updates *kind
    of sometimes* get reflected in already-traced `tf.function` traces.
*   Add the `Conv1DTranspose` layer.

	RepairDeletePods         = "repair-delete-pods"
	RepairRepairPods         = "repair-repair-pods"
	RepairLabelPods          = "repair-label-pods"
	RepairLabelKey           = "repair-broken-pod-label-key"
	RepairLabelValue         = "repair-broken-pod-label-value"
	RepairNodeName           = "repair-node-name"
	RepairSidecarAnnotation  = "repair-sidecar-annotation"
	RepairInitContainerName  = "repair-init-container-name"

	// The node name that the CNI DaemonSet runs on
	NodeName string

	// Key and value for broken pod label
	LabelKey   string
	LabelValue string

	// Whether to fix race condition by repairing them
	RepairPods bool

	// Whether to fix race condition by delete broken pods
	DeletePods bool

	// Whether to label broken pods
	LabelPods bool

	registerBooleanParameter(constants.RepairDeletePods, false, "Controller will delete pods when detecting pod broken by race condition")
	registerBooleanParameter(constants.RepairLabelPods, false, "Controller will label pods when detecting pod broken by race condition")
	registerStringParameter(constants.RepairLabelKey, "cni.istio.io/uninitialized",

                }
            ]
        }
    )


@needs_py310
def test_post_broken_body(client: TestClient):
    response = client.post(
        "/items/",
        headers={"content-type": "application/json"},
        content="{some broken json}",
    )
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {

                    "type": "value_error.missing",
                }
            ]
        }
    )


def test_post_broken_body(client: TestClient):
    response = client.post(
        "/items/",
        headers={"content-type": "application/json"},
        content="{some broken json}",
    )
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {

    assert response.status_code == 200, response.text
    assert response.json() == {
        "name": "Deadpoolio",
        "tags": ["x-force", "x-men", "x-avengers"],
    }


@needs_pydanticv2
def test_post_broken_yaml(client: TestClient):
    yaml_data = """
        name: Deadpoolio
        tags:
        x - x-force
        x - x-men
        x - x-avengers
        """

         * unique within a single POM. Upon multiple declarations, 2.x just kept the last one but retained the order of
         * the first occurrence. So when we're in lenient/compat mode, we have to deal with such broken POMs and mimic
         * the way 2.x works. When we're in strict mode, the removal of duplicates just saves other merging steps from
         * aftereffects and bogus error messages.
         */