v_1 := v.Args[1]
	v_0 := v.Args[0]
	// match: (AddPtr <t> x (Const64 [c]))
	// result: (OffPtr <t> x [c])
	for {
		t := v.Type
		x := v_0
		if v_1.Op != OpConst64 {
			break
		}
		c := auxIntToInt64(v_1.AuxInt)
		v.reset(OpOffPtr)
		v.Type = t
		v.AuxInt = int64ToAuxInt(c)
		v.AddArg(x)
		return true
	}
	// match: (AddPtr <t> x (Const32 [c]))
	// result: (OffPtr <t> x [int64(c)])

        "required": [
          "key"
        ],
        "type": "object",
        "x-kubernetes-map-type": "atomic"
      },
      "io.k8s.api.core.v1.ConfigMapProjection": {

        *   `CategoryEncoding` no longer supports `adapt`, `IntegerLookup` now
            supports equivalent functionality. `max_tokens` argument renamed to
            `num_tokens`.
        *   `Discretization` added `num_bins` argument for learning bins
            boundaries through calling `adapt` on a dataset. Renamed `bins`
            argument to `bin_boundaries` for specifying bins without `adapt`.
    *   Improvements to model saving/loading:

acquaint us that they have found it accurate. But whilst they, not
understanding the different Refrangibility of several Rays, conceived
them all to be refracted according to one and the same Proportion, 'tis
to be presumed that they adapted their Measures only to the middle of
the refracted Light; so that from their Measures we may conclude only
that the Rays which have a mean Degree of Refrangibility, that is, those