defaultBootstrapRetries     = 5
	defaultBootstrapGraceperiod = 5 * time.Second
)

var (
	ErrNotReady = fmt.Errorf("configuration is not ready")
	ErrDisabled = fmt.Errorf("disabled")
)

type getFunc func() (runtime.Object, error)

// When running, poller calls `get` every `interval`. If `get` is
// successful, `Ready()` returns ready and `configuration()` returns the

	}
	meta.SetGenerateName("")
	meta.SetGeneration(1)
}

type AssignFunc func([]runtime.Object) []runtime.Object
type EmitFunc func(runtime.Object, string) error
type GetFunc func(context.Context, runtime.Object) (runtime.Object, error)
type InitWatchFunc func()
type InjectErrFunc func(err error)
type IsErrorFunc func(err error) bool
type CreateFunc func(context.Context, runtime.Object) error

    OpBuilder builder(launch);
    auto call_op = builder.create<TF::PartitionedCallOp>(
        module.getLoc(), launch.getResultTypes(), launch.getOperands(),
        SymbolRefAttr::get(builder.getContext(), launch.getFunc()),
        /*config=*/builder.getStringAttr(""),
        /*config_proto=*/builder.getStringAttr(""),
        /*executor_type=*/builder.getStringAttr(""));

        mirrored_replicate_args.insert(
            mlir::cast<IntegerAttr>(mirrored_index).getInt());
      }
    }
    auto func =
        llvm::cast<func::FuncOp>(m.lookupSymbol(cluster_func.getFunc()));
    for (auto entry : llvm::enumerate(cluster_func.getOperands())) {
      auto operand = SkipIdentityAndReadVariable(entry.value());
      auto block_arg = mlir::dyn_cast<BlockArgument>(operand);

package elf

import (
	"io"
	"path"
	"reflect"
	"testing"
)

// TODO: remove duplicate code
func TestSymbols(t *testing.T) {
	do := func(file string, ts []Symbol, getfunc func(*File) ([]Symbol, error)) {
		var f *File
		var err error
		if path.Ext(file) == ".gz" {
			var r io.ReaderAt
			if r, err = decompress(file); err == nil {
				f, err = NewFile(r)
			}
		} else {

  if (!status->status.ok()) return;
  auto run_metadata = context->ExportRunMetadata();
  status->status = MessageToBuffer(*run_metadata, buf);
}

namespace {
TFE_Op* GetFunc(TFE_Context* ctx, const tensorflow::NameAttrList& func,
                TF_Status* status) {
  TFE_Op* func_op = TFE_NewOp(ctx, func.name().data(), status);
  for (const auto& attr : func.attr()) {

  // Look up function definition from module.
  mlir::func::FuncOp func =
      cluster_func->getParentOfType<ModuleOp>()
          .lookupSymbol<mlir::func::FuncOp>(cluster_func.getFunc());

  bool use_spmd = false;
  if (auto use_spmd_attr = cluster_func->getAttrOfType<BoolAttr>(kUseSpmdAttr))
    use_spmd = use_spmd_attr.getValue();

  auto num_cores_per_replica_attr =

func (sym *Sym) SetUniq(b bool)         { sym.flags.set(symUniq, b) }
func (sym *Sym) SetSiggen(b bool)       { sym.flags.set(symSiggen, b) }
func (sym *Sym) SetAsm(b bool)          { sym.flags.set(symAsm, b) }
func (sym *Sym) SetFunc(b bool)         { sym.flags.set(symFunc, b) }

func (sym *Sym) IsBlank() bool {
	return sym != nil && sym.Name == "_"
}

// Deprecated: This method should not be used directly. Instead, use a

//
// TODO(mdempsky): I suspect there's no need for separate fpos and
// npos.
func NewFunc(fpos, npos src.XPos, sym *types.Sym, typ *types.Type) *Func {
	name := NewNameAt(npos, sym, typ)
	name.Class = PFUNC
	sym.SetFunc(true)

	fn := &Func{Nname: name}
	fn.pos = fpos
	fn.op = ODCLFUNC
	// Most functions are ABIInternal. The importer or symabis
	// pass may override this.
	fn.ABI = obj.ABIInternal
	fn.SetTypecheck(1)