},
				Spec: batch.JobSpec{
					Selector:    validSelector,
					Template:    validPodTemplateSpec,
					Parallelism: ptr.To[int32](4),
				},
			},
		},
		"invalid addition of both Failed=True and Complete=True; allowed because feature gate disabled": {
			enableJobManagedBy: false,
			job: &batch.Job{
				ObjectMeta: validObjectMeta,
			},
			newJob: &batch.Job{

	ldr := state.ctxt.loader
	sname := ldr.SymName(s)
	if strings.HasPrefix(sname, "go:") {
		sname = ".go." + sname[len("go:"):]
	}
	sect := addsection(ldr, state.ctxt.Arch, seg, sname, rwx)
	sect.Align = symalign(ldr, s)
	state.datsize = Rnd(state.datsize, int64(sect.Align))
	sect.Vaddr = uint64(state.datsize)
	return sect
}

// the file is considered to have an implicit build constraint requiring
// those terms (in addition to any explicit constraints in the file).
//
// Using GOOS=android matches build tags and files as for GOOS=linux
// in addition to android tags and files.
//
// Using GOOS=illumos matches build tags and files as for GOOS=solaris
// in addition to illumos tags and files.
//

 *
 * <h3>Cancelling</h3>
 *
 * Any step in a pipeline can be {@linkplain #cancel(boolean) cancelled}, even after another step
 * has been derived, with the same semantics as cancelling a {@link Future}. In addition, a
 * successfully cancelled step will immediately start closing all objects captured for later closing
 * by it and by its input steps.
 *
 * <h3>Ending a pipeline</h3>
 *

    ResultsBroadcastableShape,
    Pure,
    Commutative,
    QuantizableResult,
    DeclareOpInterfaceMethods<TFL_ArithmeticCount>]> {
  let summary = "Addition operator";

  let description = [{
    Element-wise addition operation.
  }];

  let arguments = (
    ins TFL_TensorOf<[F32, I16, I32, I64, QI8, QUI8, QI16]>:$lhs,
    TFL_TensorOf<[F32, I16, I32, I64, QI8, QUI8, QI16]>:$rhs,

		}
		if v >= 0 && v <= 4095 && v&((1<<int32(s))-1) == 0 {
			c.ctxt.Diag("%v: bad type for offset %d (should be 12 bit unsigned immediate store)", p, v)
		}

		// Handle smaller unaligned and negative offsets via addition or subtraction.
		if v >= -4095 && v <= 4095 {
			o1 = c.oaddi12(p, v, REGTMP, int16(r))
			o2 = c.olsr12u(p, c.opstr(p, p.As), 0, REGTMP, p.From.Reg)
			break
		}

//
// forEachG takes a lock to exclude concurrent addition of new Gs.
func forEachG(fn func(gp *g)) {
	lock(&allglock)
	for _, gp := range allgs {
		fn(gp)
	}
	unlock(&allglock)
}

// forEachGRace calls fn on every G from allgs.
//
// forEachGRace avoids locking, but does not exclude addition of new Gs during
// execution, which may be missed.
func forEachGRace(fn func(gp *g)) {

				requests[v1.ResourceEphemeralStorage] = ephemeralStorage.DeepCopy()
			}
		}
		//TODO(vinaykul,derekwaynecarr,InPlacePodVerticalScaling): Update this to include extended resources in
		// addition to CPU, memory, ephemeral storage. Add test case for extended resources.
		resources := &v1.ResourceRequirements{
			Limits:   limits,
			Requests: requests,
		}
		return resources
	}

LogicalResult ParseExampleV2Op::verify() {
  ParseExampleV2Op op = *this;
  // NOTE(mrry): This validates properties of an op that would previously be
  // validated by the TensorFlow OpDef type checker. In addition to these
  // checks, the shape inference function for ParseExampleV2 validates the
  // consistency of the argument and result types.

  // Validate dense variadic input and output lengths.

		src)
}

// cover2 runs, in effect,
//
//	go tool cover -pkgcfg=<config file> -mode=b.coverMode -var="varName" -o <outfiles> <infiles>
//
// Return value is an updated output files list; in addition to the
// regular outputs (instrumented source files) the cover tool also
// writes a separate file (appearing first in the list of outputs)
// that will contain coverage counters and meta-data.