{"__eh_frame", "__TEXT", 0x100000fb8, 0x48, 0xfb8, 0x3, 0x0, 0x0, 0x6000000b},
			{"__data", "__DATA", 0x100001000, 0x1c, 0x1000, 0x3, 0x0, 0x0, 0x0},
			{"__dyld", "__DATA", 0x100001020, 0x38, 0x1020, 0x3, 0x0, 0x0, 0x0},
			{"__la_symbol_ptr", "__DATA", 0x100001058, 0x10, 0x1058, 0x2, 0x0, 0x0, 0x7},
		},
		nil,
	},
	{
		"testdata/gcc-amd64-darwin-exec-debug.base64",

			ml := newMachoLoad(ctxt.Arch, LC_DYLD_INFO_ONLY, 10)
			ml.data[0] = uint32(linkoff)      // rebase off
			ml.data[1] = uint32(s1)           // rebase size
			ml.data[2] = uint32(linkoff + s1) // bind off
			ml.data[3] = uint32(s2)           // bind size
			ml.data[4] = 0                    // weak bind off
			ml.data[5] = 0                    // weak bind size
			ml.data[6] = 0                    // lazy bind off

	f.MustSeek(m.base+int64(c.seg.fileoff), 0)
	dat, readOnly, err := f.Slice(uint64(c.seg.filesz))
	if err != nil {
		return errorf("cannot load object data: %v", err)
	}

	for i := uint32(0); i < c.seg.nsect; i++ {
		sect := &c.seg.sect[i]
		if sect.segname != "__TEXT" && sect.segname != "__DATA" {
			continue
		}
		if sect.name == "__eh_frame" {
			continue
		}
		name := fmt.Sprintf("%s(%s/%s)", pkg, sect.segname, sect.name)

      Tensor y_data = (*y_datas)[y_idx];
      if (y_data.SharesBufferWith((*x_datas)[x_idx])) {
        // Create copies of outputs that share a buffer with any inputs since
        // the underlying buffer of the input Tensors are not copied for some
        // operations (i.e. Identity), which can lead to incorrect results for
        // the centered difference calculation.
        (*y_datas)[y_idx] = tensor::DeepCopy(y_data);
      }

    TensorShape x_shape({1, 4, 6, 1});
    Tensor x_data = MakeData<X_T>(x_shape);
    Output x, y;
    MakeOp<X_T>(op_type, x_data, {2, 3}, align_corners, half_pixel_centers, &x,
                &y);
    JAC_T max_error;
    TF_ASSERT_OK((ComputeGradientError<X_T, Y_T, JAC_T>(
        scope_, x, x_data, y, {1, 2, 3, 1}, &max_error)));
    EXPECT_LT(max_error, 1.5e-3);
  }

	return sa
}

func makeSecret(name, caData, token string) *v1.Secret {
	out := &v1.Secret{
		ObjectMeta: metav1.ObjectMeta{
			Name:        name,
			Namespace:   testNamespace,
			Annotations: map[string]string{v1.ServiceAccountNameKey: testServiceAccountName},
		},
		Data: map[string][]byte{},
		Type: v1.SecretTypeServiceAccountToken,
	}
	if len(caData) > 0 {
		out.Data[v1.ServiceAccountRootCAKey] = []byte(caData)
	}

      set_static_data_result_index_table(data, ResultIndexToBufferIndex());
      set_static_data_num_results(data, kNumResults);
      set_static_data_arg_index_table(data, ArgIndexToBufferIndex());
      set_static_data_num_args(data, kNumArgs);
      set_static_data_num_variables(data, kNumVariables);
      set_static_data_result_index(data, kResultIndex);
      set_static_data_arg_shape_infos(data, ArgShapeInfos());

				multicluster.MultiClusterSecretLabel: "true",
			},
		},
		Data: map[string][]byte{
			key: data.Bytes(),
		},
	}
	return out, nil
}

func createBaseKubeconfig(caData []byte, clusterName, server string) *api.Config {
	return &api.Config{
		Clusters: map[string]*api.Cluster{
			clusterName: {
				CertificateAuthorityData: caData,
				Server:                   server,
			},
		},

	n.Y = cheapExpr(n.Y, init)
	n.X = cheapExpr(n.X, init)
	eqtab, eqdata := compare.EqInterface(n.X, n.Y)
	var cmp ir.Node
	if n.Op() == ir.OEQ {
		cmp = ir.NewLogicalExpr(base.Pos, ir.OANDAND, eqtab, eqdata)
	} else {
		eqtab.SetOp(ir.ONE)
		cmp = ir.NewLogicalExpr(base.Pos, ir.OOROR, eqtab, ir.NewUnaryExpr(base.Pos, ir.ONOT, eqdata))
	}
	return finishCompare(n, cmp, init)
}

	}

	// The first entry is all zeros.
	data = data[Sym32Size:]

	symbols := make([]Symbol, len(data)/Sym32Size)

	i := 0
	var sym Sym32
	for len(data) > 0 {
		sym.Name = f.ByteOrder.Uint32(data[0:4])
		sym.Value = f.ByteOrder.Uint32(data[4:8])
		sym.Size = f.ByteOrder.Uint32(data[8:12])
		sym.Info = data[12]
		sym.Other = data[13]
		sym.Shndx = f.ByteOrder.Uint16(data[14:16])