int totalBytesRead = 0;
    boolean doneEncoding = endOfInput;

    DRAINING:
    while (true) {
      // We stay in draining mode until there are no bytes left in the output buffer. Then we go
      // back to encoding/flushing.
      if (draining) {
        totalBytesRead += drain(b, off + totalBytesRead, len - totalBytesRead);
        if (totalBytesRead == len || doneFlushing) {

    int totalBytesRead = 0;
    boolean doneEncoding = endOfInput;

    DRAINING:
    while (true) {
      // We stay in draining mode until there are no bytes left in the output buffer. Then we go
      // back to encoding/flushing.
      if (draining) {
        totalBytesRead += drain(b, off + totalBytesRead, len - totalBytesRead);
        if (totalBytesRead == len || doneFlushing) {

        }

        if (webConfigList.isEmpty() && fileConfigList.isEmpty()) {
            // nothing
            if (logger.isInfoEnabled()) {
                logger.info("No crawling target urls.");
            }
            return;
        }

        doCrawl(sessionId, webConfigList, fileConfigList);
    }

using tensorflow::Status;
using tensorflow::unwrap;
using tensorflow::wrap;
using tensorflow::tracing::CreateTracingExecutionContext;
using tensorflow::tracing::SetDefaultTracingEngine;
using tensorflow::tracing::TracingContext;
using tensorflow::tracing::TracingOperation;
using tensorflow::tracing::TracingTensorHandle;

void TF_SetTracingImplementation(const char* name, TF_Status* s) {

struct OutputList {
  std::vector<AbstractTensorHandle*> outputs;
  int expected_num_outputs = -1;
};

namespace tracing {

// =============================================================================
// Implementation detail for the unified execution APIs for Eager and tracing
// backends (graph/MLIR).
//
// This defines a set of abstract classes that are intended to provide the

- **Purpose**: Tests related to telemetry features, including metrics, logging, and tracing.
- **Focus**:
  1. Collection and processing of telemetry data.
  1. Interaction between telemetry components and Istio control plane.
  1. Validation of metrics collection and reporting.
  1. Testing of logging configurations and log collection.
  1. Validation of tracing and distributed tracing setups.

#include <utility>

#include "tensorflow/c/eager/abstract_function.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {
namespace tracing {
namespace graph {
GraphFunction::GraphFunction(FunctionDef fdef)
    : AbstractFunction(kGraph),
      func_record_(new FunctionRecord(std::move(fdef), {}, true)) {}
GraphFunction::~GraphFunction() {}

    sidecar.istio.io/inject: "false"
  ingress_enabled: false
  image_pull_policy: IfNotPresent
login_token:
  signing_key: CHANGEME00000000
external_services:
  # Kiali will not start up without tracing service. We don't want to require it.
  tracing:

	expectedOutput := msg.NewUpdateIncompatibility(ObjectToInstance(zipkinSvc),
		"meshConfig.defaultConfig.tracer", "1.21",
		"tracing is no longer by default enabled to send to 'zipkin.istio-system.svc'; "+
			"follow https://istio.io/latest/docs/tasks/observability/distributed-tracing/telemetry-api/",
		"1.21")

	assert.Equal(t, expectedOutput, messages[0])
}

func init() {

#define TENSORFLOW_C_EAGER_GRAPH_FUNCTION_H_

#include "tensorflow/c/eager/abstract_function.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/platform/refcount.h"
namespace tensorflow {
namespace tracing {
namespace graph {
using tensorflow::AbstractFunction;
// Thin wrapper around a FunctionDef.
class GraphFunction : public AbstractFunction {
 public:
  explicit GraphFunction(FunctionDef fdef);