pkg syscall (freebsd-386), type Dirent struct, Pad1 uint16
pkg syscall (freebsd-386), type Stat_t struct, Atim_ext int32
pkg syscall (freebsd-386), type Stat_t struct, Blksize int32
pkg syscall (freebsd-386), type Stat_t struct, Btim_ext int32
pkg syscall (freebsd-386), type Stat_t struct, Ctim_ext int32
pkg syscall (freebsd-386), type Stat_t struct, Dev uint64
pkg syscall (freebsd-386), type Stat_t struct, Gen uint64

	return &fakeFileFakeFds{File: f, fd: 0}
}

type fakeIptablesDeps struct {
	AddRouteErr           error
	AddInpodMarkIPRuleCnt atomic.Int32
	DelInpodMarkIPRuleCnt atomic.Int32
	AddLoopbackRoutesCnt  atomic.Int32
	DelLoopbackRoutesCnt  atomic.Int32
}

var _ iptables.NetlinkDependencies = &fakeIptablesDeps{}

func (r *fakeIptablesDeps) AddInpodMarkIPRule(cfg *iptables.Config) error {

                   int64_t value) {
  desc->node_builder.Attr(attr_name, static_cast<int64_t>(value));
}

void TF_SetAttrIntList(TF_OperationDescription* desc, const char* attr_name,
                       const int64_t* values, int num_values) {
  desc->node_builder.Attr(
      attr_name, ArraySlice<const int64_t>(
                     reinterpret_cast<const int64_t*>(values), num_values));
}

}

TF_Tensor* TFE_AllocateHostTensor(TFE_Context* ctx, TF_DataType dtype,
                                  const int64_t* dims, int num_dims,
                                  TF_Status* status) {
  std::vector<int64_t> dimvec(num_dims);
  for (int i = 0; i < num_dims; ++i) {
    dimvec[i] = static_cast<int64_t>(dims[i]);
  }

  if (ctx == nullptr) {
    status->status = tensorflow::errors::InvalidArgument("Invalid Context");

  // +optional
  optional int32 replicas = 2;

  // Total number of non-terminated pods targeted by this deployment that have the desired template spec.
  // +optional
  optional int32 updatedReplicas = 3;

  // readyReplicas is the number of pods targeted by this Deployment with a Ready Condition.
  // +optional
  optional int32 readyReplicas = 7;

                                 const int64_t* dims, int num_dims) {
  DCHECK(index >= 0 && index < shape_list->num_items);
  TF_ShapeAndType& shape = shape_list->items[index];
  DCHECK(shape.dims == nullptr) << "Shape at " << index << " is already set!";
  DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!";
  shape.num_dims = num_dims;
  shape.dims = new int64_t[num_dims];

pkg sync, method (*Map) Clear() #61696
pkg sync/atomic, func AndInt32(*int32, int32) int32 #61395
pkg sync/atomic, func AndInt64(*int64, int64) int64 #61395
pkg sync/atomic, func AndUint32(*uint32, uint32) uint32 #61395
pkg sync/atomic, func AndUint64(*uint64, uint64) uint64 #61395
pkg sync/atomic, func AndUintptr(*uintptr, uintptr) uintptr #61395
pkg sync/atomic, func OrInt32(*int32, int32) int32 #61395
pkg sync/atomic, func OrInt64(*int64, int64) int64 #61395

 public:
  // Returns number of dimensions.
  virtual absl::Status NumDims(int* num_dims) const = 0;
  // Returns number of elements across all dimensions.
  virtual absl::Status NumElements(int64_t* num_elements) const = 0;
  // Returns size of specified dimension
  //
  // -1 indicates an unknown axis length; this is unreachable for most standard
  // ImmediateExecutionTensorHandles, but comes up for example when computing

TF_CAPI_EXPORT extern void TFE_CollectiveOpsCheckPeerHealth(
    TFE_Context* ctx, const char* task, int64_t timeout_in_ms,
    TF_Status* status);

// Information about the shape of a Tensor and its type.
struct TF_ShapeAndType {
  // Number of dimensions. -1 indicates unknown rank.
  int num_dims;
  // Array of dimensions. -1 indicates unknown dim.
  int64_t* dims;
  // The data type. May be 0 to denote unknown type.
  TF_DataType dtype;
};

  // +optional
  optional int32 replicas = 2;

  // Total number of non-terminated pods targeted by this deployment that have the desired template spec.
  // +optional
  optional int32 updatedReplicas = 3;

  // readyReplicas is the number of pods targeted by this Deployment controller with a Ready Condition.
  // +optional
  optional int32 readyReplicas = 7;