putServiceRegistryOnStack();

                if (genericServiceType instanceof Class) {
                    // if the return type doesn't use generics, then it's faster to just rely on the type name directly
                    _LDC(getType((Class<?>) genericServiceType));
                } else {
                    // load the static type descriptor from class constants

           << "requires 'output' type " << output_ty
           << " to be cast compatible with expected type " << expected_ty;

  return success();
}

// Currently there are use cases that rely on partial evaluation of the `shape`
// operand, so InferTypeOpInterface is not used (along with generated builder of
// the same signature).
void ReshapeOp::build(OpBuilder &builder, OperationState &result, Value tensor,

        "description": "Event is a report of an event somewhere in the cluster. It generally denotes some state change in the system. Events have a limited retention time and triggers and messages may evolve with time.  Event consumers should not rely on the timing of an event with a given Reason reflecting a consistent underlying trigger, or the continued existence of events with that Reason.  Events should be treated as informative, best-effort, supplemental data.",

		); err != nil {
			t.Errorf("Unexpected error: %v", err)
		}
	}

	ctx, cancel := context.WithCancel(testContext)

	lock := sync.Mutex{}
	called := false

	// We rely on the fact that there is exactly one worker, so it should exit after
	// getting context canceled error on the first Delete call to etcd.
	// With multiple workers, each of them would be calling Delete once.

            "format": "int64",
            "type": "integer"
          },
          "resourceVersion": {

            "format": "int64",
            "type": "integer"
          },
          "resourceVersion": {

            "format": "int64",
            "type": "integer"
          },
          "resourceVersion": {

            "format": "int64",
            "type": "integer"
          },
          "resourceVersion": {

     * works well for hash tables since the bin lists tend to be short. (The average length is less
     * than two.)
     *
     * Read operations can thus proceed without locking, but rely on selected uses of volatiles to
     * ensure that completed write operations performed by other threads are noticed. For most
     * purposes, the "count" field, tracking the number of elements, serves as that volatile

            "format": "int64",
            "type": "integer"
          },
          "resourceVersion": {