digraph {
    envoy -> sds [dir=both, label="SDS"]
    envoy -> xdsproxy  [dir=both, label="ADS"]

    sds -> ca [label="CSR"]

    xdsproxy -> discovery [dir=both,label="ADS"]

    envoy [shape=hexagon, color=purple]

    subgraph cluster_istioagent {
        label = "Istio Agent"
        color="orange"
        sds
        xdsproxy
    }

    subgraph cluster_istiod {
        label = "Istiod"
        color="lightblue"

                </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>

  // 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
  // the shape of a parallel tensor with component shapes differing across
  // devices.
  virtual absl::Status Dim(int dim_index, int64_t* dim) const = 0;

  // Returns the device which created the handle.

}

TEST(CAPI, ShapeInferenceError) {
  // TF_FinishOperation should fail if the shape of the added operation cannot
  // be inferred.
  TF_Status* status = TF_NewStatus();
  TF_Graph* graph = TF_NewGraph();

  // Create this failure by trying to add two nodes with incompatible shapes
  // (A tensor with shape [2] and a tensor with shape [3] cannot be added).
  const char data[] = {1, 2, 3};
  const int64_t vec2_dims[] = {2};

// 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;

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.escape;

import com.google.common.testing.AbstractPackageSanityTests;

/**
 * Basic sanity tests for the entire package.
 *
 * @author Ben Yu
 */

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.escape;

import com.google.common.testing.AbstractPackageSanityTests;

/**
 * Basic sanity tests for the entire package.
 *
 * @author Ben Yu
 */

	r2 := d.u4()
	if r2 < 0 {
		return "", d.mkError(ErrSyntax, "in unicode escape sequence")
	}

	// write surrogate pair
	d.scratch.addRune(utf16.DecodeRune(r, r2))
	c = d.next()
	goto scan
}

// u4 reads four bytes following a \u escape
func (d *Decoder) u4() rune {
	// logic taken from:
	// github.com/buger/jsonparser/blob/master/escape.go#L20
	var h [4]int
	for i := 0; i < 4; i++ {
		c := d.next()

// number of dimensions of a parallel tensor.
int ParallelTensorNumDims(void* data, TF_Status* status) {
  const std::vector<int64_t>* shape;
  absl::Status s = reinterpret_cast<ParallelTensor*>(data)->Shape(&shape);
  if (!s.ok()) {
    tsl::Set_TF_Status_from_Status(status, s);
    return -1;
  }
  return shape->size();
}

// Used as an argument to TFE_NewCustomDeviceTensorHandle, for computing a
// dimension of a parallel tensor.

// `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.