return nil, err
	}
	// If Timestamp is 0, then the runtime did not cache the result.
	// In this case, a cached result is a metric that was collected ahead of time,
	// as opposed to on-demand.
	// If the metric was requested as needed, then Timestamp==0.
	if m.Timestamp == 0 {
		return pm, nil
	}
	return metrics.NewLazyMetricWithTimestamp(time.Unix(0, m.Timestamp), pm), nil
}

import java.util.concurrent.TimeUnit;
import java.util.concurrent.locks.Condition;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * Creates the actual executor implementation on demand.
 */
public class LazyConsumerActionExecutor implements ConsumerActionExecutor {
    private final Distribution distribution;
    private final ToolingImplementationLoader implementationLoader;

    title: Kong Konnect - API management platform
    img: https://fastapi.tiangolo.com/img/sponsors/kong.png
silver:
  - url: https://training.talkpython.fm/fastapi-courses
    title: FastAPI video courses on demand from people you trust
    img: https://fastapi.tiangolo.com/img/sponsors/talkpython-v2.jpg
  - url: https://github.com/deepset-ai/haystack/
    title: Build powerful search from composable, open source building blocks

	d.nam = c
	return d
}

func mkdch2() *dch2 {
	d2 := new(dch2)
	d2[0] = mkdch()
	d2[1] = mkdch()
	return d2
}

// split reads a single demand channel and replicates its
// output onto two, which may be read at different rates.
// A process is created at first demand for an item and dies
// after the item has been sent to both outputs.

// When multiple generations of split exist, the newest

            "parallel_iterations on the original model WhileOp."),

       Flag("tf_xla_compile_on_demand", &device_flags->tf_xla_compile_on_demand,
            "Switch a device into 'on-demand' mode, where instead of "
            "autoclustering ops are compiled one by one just-in-time."),

       Flag("tf_xla_enable_xla_devices",
            &device_flags->tf_xla_enable_xla_devices,

  XlaCompiler::Options options =
      GenerateCompilerOptionsForPjRt(*(ctx->function_library()), ctx->device(),
                                     platform_info_, *pjrt_device_compiler);
  // No detailed logging for on demand op.
  options.detailed_logging = false;
  XlaCompiler::CompileOptions compile_options = GetCompileOptions(true);

  return (*pjrt_device_compiler)

// exchanging protobuf messages across c++-python boundaries, potentially
// without serialization, fail in the open-source environment.
// Explicitly-specialized type casters for serialized protobufs are added on an
// on-demand basis for quantization library.
// TODO: b/308532051 - Make `native_proto_caster.h` work in the open-source
// environment.

template <>
struct type_caster<tensorflow::quantization::ExportedModel>

    }

    def "credentials(Class, Action) creates credentials on demand if required"() {
        Instantiator instantiator = Mock()
        AuthenticationContainer authenticationContainer = Stub()

        Action action = Mock()

                return taskResource;
            }
        };
    }

    /**
     * Creates a lazy reference to a task in another build.
     *
     * The task will be located on-demand to allow for cycles between builds stored to
     * the configuration cache.
     *
     * @param taskPath the path to the task relative to its build
     * @param targetBuild the build containing the task

            Component(tapiModels, "TAPI Models", "classpath, sourcepath, implicit imports, user reports")
            Component(tapiModelBuilders, "TAPI Model Builders", "On-demand source distro download, Calculates editor warnings and errors")

            Rel_Neighbor(tapiModelBuilders, tapiModels, "Build")
            Rel(tapiModelBuilders, providerClasspath, "Queries", "Script classpath")