1FB00..1FB92  ; valid                  ;      ; NV8    # 13.0 BLOCK SEXTANT-1..UPPER HALF INVERSE MEDIUM SHADE AND LOWER HALF BLOCK
1FB93         ; disallowed                             # NA   <reserved-1FB93>
1FB94..1FBCA  ; valid                  ;      ; NV8    # 13.0 LEFT HALF INVERSE MEDIUM SHADE AND RIGHT HALF BLOCK..WHITE UP-POINTING CHEVRON

    /**
     * 
     */
    private TestProperties () {}

    static final String TEST_SHARE_URL_MAIN = "test.share.main.url";
    static final String TEST_SHARE_URL_DFSROOT = "test.share.dfsroot.url";

    static final String TEST_SHARE_MAIN = "test.share.main";
    static final String TEST_SHARE_GUEST = "test.share.guest";

    static final String TEST_USER_NAME = "test.user.name";

     * <code>null</code> will be returned.
     *
     * @return The share component or <code>null</code> if there is no share
     */
    String getShare ();


    /**
     * Retrieve the hostname of the server for this SMB resource. If the resources has been resolved by DFS this will
     * return the target name.
     * 
     * @return The server name
     */

}

// Create an empty tensor of type 'dtype'. 'shape' can be arbitrary, but has to
// result in a zero-sized tensor.
static TF_Tensor* EmptyTensor(TF_DataType dtype,
                              const tensorflow::TensorShape& shape) {
  static char empty;
  int64_t nelems = 1;
  std::vector<int64_t> dims;
  dims.reserve(shape.dims());
  for (int i = 0; i < shape.dims(); ++i) {
    dims.push_back(shape.dim_size(i));

                    <mxGeometry x="140" y="430" width="360" height="100" as="geometry"/>
                </mxCell>

    return nullptr;
  }
  tensorflow::PartialTensorShape partial_shape;
  if (shape.num_dims != -1) {
    DCHECK(shape.dim_sizes != nullptr);
    Status status = tensorflow::PartialTensorShape::MakePartialShape(
        reinterpret_cast<int64_t*>(shape.dim_sizes), shape.num_dims,
        &partial_shape);
    if (!status.ok()) {
      tsl::Set_TF_Status_from_Status(s, status);

// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is
//     OK to not have the inputs properly set in `op`. See `input_tensors`
//     if you want shape inference to consider the input tensors of the
//     op for shape inference.
//   - The types need not be set in `input_shapes` as it is not used.

// TODO(b/193656009): Defining these in a cc file causes linker errors with
// fastbuild.
inline absl::Status AbstractOperation::SetAttrShape(
    const char* attr_name, const PartialTensorShape shape) {
  return SetAttrShape(attr_name, shape.dim_sizes().data(), shape.dims());
}

inline absl::Status AbstractOperation::SetAttrStringList(
    const char* attr_name, absl::Span<string const> values) {
  std::vector<const char*> raw_strs;

                </mxCell>
                <mxCell id="32" value="" style="pointerEvents=1;shadow=0;dashed=0;html=1;fillColor=#505050;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;outlineConnect=0;align=center;shape=mxgraph.office.devices.laptop;strokeColor=none;" parent="33" vertex="1">
                    <mxGeometry width="500" height="350" as="geometry"/>
                </mxCell>

// setting a shape of [-1, 2] with an existing shape [2, -1] would set
// a final shape of [2, 2] based on shape merging semantics.
//
// Returns an error into `status` if:
//   * `output` is not in `graph`.
//   * An invalid shape is being set (e.g., the shape being set
//     is incompatible with the existing shape).
TF_CAPI_EXPORT extern void TF_GraphSetTensorShape(TF_Graph* graph,