shape_inference::ShapeHandle s1) -> bool {
    if (s0.SameHandle(s1) || (!c->RankKnown(s0) && !c->RankKnown(s1))) {
      return true;
    }
    if (c->Rank(s0) != c->Rank(s1)) {
      return false;
    }
    for (int i = 0; i < c->Rank(s0); ++i) {
      if (!c->Dim(s0, i).SameHandle(c->Dim(s1, i))) {
        int64_t val0 = c->Value(c->Dim(s0, i));

		t.Errorf("Error expected, but no error returned")
	}
}

func TestCloneHash(t *testing.T) {
	h1 := crypto.SHA256.New()
	h1.Write([]byte("test"))
	s1 := h1.Sum(nil)
	h2 := cloneHash(h1, crypto.SHA256)
	s2 := h2.Sum(nil)
	if !bytes.Equal(s1, s2) {
		t.Error("cloned hash generated a different sum")
	}
}

func expectError(t *testing.T, err error, sub string) {
	if err == nil {

  // podAntiAffinityLabelSelector:
  //  - key: security
  //    operator: In
  //    values: S1,S2
  //    topologyKey: "kubernetes.io/hostname"
  //  This pod anti-affinity rule says that the pod requires not to be scheduled
  //  onto a node if that node is already running a pod with label having key
  //  “security” and value “S1”.

			},
		},
	}

	cmpOpts := []cmp.Option{
		cmp.Comparer(func(s1 framework.Status, s2 framework.Status) bool {
			return s1.Code() == s2.Code() && reflect.DeepEqual(s1.Reasons(), s2.Reasons())
		}),
	}

	for _, tt := range tests {
		t.Run(tt.name, func(t *testing.T) {
			_, ctx := ktesting.NewTestContext(t)

    Pure]> {
  let summary = "Return the shape of s0 op s1 with broadcast.";

  let description = [{
Given `s0` and `s1`, tensors that represent shapes, compute `r0`, the
broadcasted shape. `s0`, `s1` and `r0` are all integer vectors.
  }];

  let arguments = (ins
    TFL_I32OrI64Tensor:$s0,
    TFL_I32OrI64Tensor:$s1
  );

  let results = (outs
    TFL_I32OrI64Tensor:$r0
  );

			break
		}
		sym := auxToCall(call.Aux)
		s1 := call.Args[0]
		if s1.Op != OpPPC64MOVDstore {
			break
		}
		_ = s1.Args[2]
		s1_1 := s1.Args[1]
		if s1_1.Op != OpPPC64MOVDconst {
			break
		}
		sz := auxIntToInt64(s1_1.AuxInt)
		s2 := s1.Args[2]
		if s2.Op != OpPPC64MOVDstore {
			break
		}
		_ = s2.Args[2]

 public:
  using OpRewritePattern::OpRewritePattern;
  // clang-format off
  // Converts Tile op to HLO DBroadcastInDim and DReshape ops.
  //   For shape [S1, S2] and multiples [M1, M2],
  //     MS1 = M1 * S1; MS2 = M2 * S2
  //
  //   %out_dim_size = [S1, M1, S2, M2]
  //   %broadcast_dimensions = [1, 3];
  //   %broadcast = mhlo.d_broadcast_in_dim(%input, %out_dim_size, %braodcast_dimensions);
  //   %shape = [MS1, MS2]

// Arch-specific inlining for small or disjoint runtime.memmove
(SelectN [0] call:(CALLstatic {sym} s1:(MOVDstore _ (MOVDconst [sz]) s2:(MOVDstore  _ src s3:(MOVDstore {t} _ dst mem)))))
	&& sz >= 0
	&& isSameCall(sym, "runtime.memmove")
	&& s1.Uses == 1 && s2.Uses == 1 && s3.Uses == 1
	&& isInlinableMemmove(dst, src, sz, config)
	&& clobber(s1, s2, s3, call)
	=> (Move [sz] dst src mem)

// Match post-lowering calls, register version.

//
// Match post-expansion calls, memory version.
(SelectN [0] call:(StaticCall {sym} s1:(Store _ (Const(64|32) [sz]) s2:(Store  _ src s3:(Store {t} _ dst mem)))))
	&& sz >= 0
	&& isSameCall(sym, "runtime.memmove")
	&& s1.Uses == 1 && s2.Uses == 1 && s3.Uses == 1
	&& isInlinableMemmove(dst, src, int64(sz), config)
	&& clobber(s1, s2, s3, call)
	=> (Move {types.Types[types.TUINT8]} [int64(sz)] dst src mem)

			break
		}
		sym := auxToCall(call.Aux)
		s1 := call.Args[0]
		if s1.Op != OpStore {
			break
		}
		_ = s1.Args[2]
		s1_1 := s1.Args[1]
		if s1_1.Op != OpConst64 {
			break
		}
		sz := auxIntToInt64(s1_1.AuxInt)
		s2 := s1.Args[2]
		if s2.Op != OpStore {
			break
		}
		_ = s2.Args[2]
		src := s2.Args[1]