"in": "query",
          "name": "pretty",
          "schema": {
            "type": "string",
            "uniqueItems": true
          }
        }
      ],
      "post": {
        "description": "create a PodSchedulingContext",
        "operationId": "createResourceV1alpha2NamespacedPodSchedulingContext",
        "parameters": [
          {

          "in": "query",
          "name": "pretty",
          "schema": {
            "type": "string",
            "uniqueItems": true
          }
        }
      ],
      "post": {
        "description": "create a ControllerRevision",
        "operationId": "createAppsV1NamespacedControllerRevision",
        "parameters": [
          {

        `DynamicUpdateSlice`.
    *   Enabled a new MLIR-based dynamic range quantization backend by default
        *   The new backend is used for post-training int8 dynamic range
            quantization and post-training float16 quantization.
        *   Set `experimental_new_dynamic_range_quantizer` in
            tf.lite.TFLiteConverter to False to disable this change

                              Support: Extended
                            enum:
                            - GET
                            - HEAD
                            - POST
                            - PUT
                            - DELETE
                            - CONNECT
                            - OPTIONS
                            - TRACE

		RestartPolicy:            &containerRestartPolicyAlways,
		Lifecycle: &core.Lifecycle{
			PostStart: &core.LifecycleHandler{
				Exec: &core.ExecAction{
					Command: []string{"echo", "post start"},
				},
			},
			PreStop: &core.LifecycleHandler{
				Exec: &core.ExecAction{
					Command: []string{"echo", "pre stop"},
				},
			},
		},
		LivenessProbe: &core.Probe{