memcpy(TF_TensorData(t), values, sizeof(char) * num_values);
  return t;
}

TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims,
                       const int32_t* values) {
  int64_t num_values = 1;
  for (int i = 0; i < num_dims; ++i) {
    num_values *= dims[i];
  }
  TF_Tensor* t =
      TF_AllocateTensor(TF_INT32, dims, num_dims, sizeof(int32_t) * num_values);

                          std::unique_ptr<const void*[]>* ptrs,
                          std::unique_ptr<size_t[]>* lens) {
  ptrs->reset(new const void*[v.size()]);
  lens->reset(new size_t[v.size()]);
  for (size_t i = 0; i < v.size(); ++i) {
    (*ptrs)[i] = v[i].data();
    (*lens)[i] = v[i].size();
  }
}

class CApiColocationTest : public ::testing::Test {
 protected:

	dirent := (*syscall.Dirent)(unsafe.Pointer(&buf[0]))
	if v := unsafe.Offsetof(dirent.Reclen) + unsafe.Sizeof(dirent.Reclen); uintptr(len(buf)) < v {
		return consumed, nil, typ, fmt.Errorf("buf size of %d smaller than dirent header size %d", len(buf), v)
	}
	if len(buf) < int(dirent.Reclen) {
		return consumed, nil, typ, fmt.Errorf("buf size %d < record length %d", len(buf), dirent.Reclen)
	}
	consumed = int(dirent.Reclen)

}

const char* TF_GraphDebugString(TF_Graph* graph, size_t* len) {
  tensorflow::mutex_lock c(graph->mu);
  const auto& debug_str = graph->graph.ToGraphDefDebug().DebugString();
  *len = debug_str.size();
  char* ret = static_cast<char*>(malloc(*len + 1));
  memcpy(ret, debug_str.c_str(), *len + 1);
  return ret;
}

char* TF_FunctionDebugString(TF_Function* func, size_t* len) {

  }

  void CompareInt32Tensor(const std::vector<int32_t>& expected, TF_Tensor* t) {
    int32_t* data = static_cast<int32_t*>(TF_TensorData(t));
    size_t size = TF_TensorByteSize(t);
    ASSERT_EQ(expected.size() * sizeof(int32_t), size);
    for (int i = 0; i < expected.size(); ++i) {
      ASSERT_EQ(expected[i], data[i]) << "Different data at index " << i;
    }
  }

  size_t size = results.missing_unused_input_map_keys.size();
  tf_results->missing_unused_key_names.resize(size);
  tf_results->missing_unused_key_indexes.resize(size);

  for (int i = 0; i < size; ++i) {
    TensorId id = results.missing_unused_input_map_keys[i];
    tf_results->missing_unused_key_names_data.emplace_back(id.first);
    tf_results->missing_unused_key_names[i] =

</pre>

<p>
A (variable of) type <code>T</code> has <i>variable size</i> if <code>T</code>
is a <a href="#Type_parameter_declarations">type parameter</a>, or if it is an
array or struct type containing elements
or fields of variable size. Otherwise the size is <i>constant</i>.
Calls to <code>Alignof</code>, <code>Offsetof</code>, and <code>Sizeof</code>
are compile-time <a href="#Constant_expressions">constant expressions</a> of

Ian Lance Taylor <******@****.***> 1765577893 -0800

		return 0, o.Size, 0, 0, 0, nil
	}

	// Assemble slice of (decrypted) part sizes in `sizes`
	var sizes []int64
	var decObjSize int64 // decrypted total object size
	if o.isMultipart() {
		sizes = make([]int64, len(o.Parts))
		for i, part := range o.Parts {
			var partSize uint64
			partSize, err = sio.DecryptedSize(uint64(part.Size))
			if err != nil {
				err = errObjectTampered

		{name: "rootfile", size: 10000},
		{name: "rootfile2", size: 10000},
		{name: "dir1/d1file", size: 2000},
		{name: "dir2/d2file", size: 300},
		{name: "dir2/d2file2", size: 300},
		{name: "dir2/d2file3/", size: 300},
		{name: "dir2/d2file4/", size: 300},
		{name: "dir2/d2file5", size: 300},
		{name: "dir1/dira/dafile", size: 100000},
		{name: "dir1/dira/dbfile", size: 200000},