}

    // test that the RangeSet's span is the span of all the ranges
    Iterator<Range<C>> itr = rangeSet.asRanges().iterator();
    Range<C> expectedSpan = null;
    if (itr.hasNext()) {
      expectedSpan = itr.next();
      while (itr.hasNext()) {
        expectedSpan = expectedSpan.span(itr.next());
      }
    }

    try {
      Range<C> span = rangeSet.span();
      assertEquals(expectedSpan, span);

						</c:set>
						<la:password property="oldPassword" class="form-control"
									 placeholder="${ph_old_password}" />
						<div class="input-group-append">
							<span class="input-group-text"><em class="fa fa-lock fa-fw"></span>
						</div>
					</div>
					<div class="input-group mb-3">
						<c:set var="ph_new_password">
							<la:message key="labels.profile.placeholder_new_password" />
						</c:set>

        return new StyledTextOutputEvent.Span(messageStyle, "> " + message);
    }

    private StyledTextOutputEvent.Span status(String status, boolean failed) {
        StyledTextOutput.Style statusStyle = failed ? StyledTextOutput.Style.Failure : StyledTextOutput.Style.Info;
        return new StyledTextOutputEvent.Span(statusStyle, " " + status);
    }

  // target element.
  Status ComputeGradient(
      AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> targets,
      absl::Span<AbstractTensorHandle* const> sources,
      absl::Span<AbstractTensorHandle* const> output_gradients,
      absl::Span<AbstractTensorHandle*> result);
};

}  // namespace gradients
}  // namespace tensorflow

		return ctx
	}
	return context.WithValue(ctx, traceKey{}, traceContext{tc.t, tc.t.getNextTID()})
}

// Flow marks a flow indicating that the 'to' span depends on the 'from' span.
// Flow should be called while the 'to' span is in progress.
func Flow(ctx context.Context, from *Span, to *Span) {
	tc, ok := getTraceContext(ctx)
	if !ok || from == nil || to == nil {
		return
	}

	id := tc.t.getNextFlowID()

        "name": "envoy.tracers.zipkin",
        "typed_config": {
          "@type": "type.googleapis.com/envoy.config.trace.v3.ZipkinConfig",
          "collector_cluster": "zipkin",
          "collector_endpoint": "/api/v1/spans/custom",
          "collector_endpoint_version": "HTTP_JSON",
          "trace_id_128bit": true,
          "shared_span_context": false
        }
      }

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]
<span style="color: green;">INFO</span>:     Started server process [28722]
<span style="color: green;">INFO</span>:     Waiting for application startup.
<span style="color: green;">INFO</span>:     Application startup complete.
```

   * error to execute a call more than once.
   */
  fun isExecuted(): Boolean

  fun isCanceled(): Boolean

  /**
   * Returns a timeout that spans the entire call: resolving DNS, connecting, writing the request
   * body, server processing, and reading the response body. If the call requires redirects or
   * retries all must complete within one timeout period.
   *

#include "tsl/platform/status.h"

namespace tensorflow {

Status GetVariableInfosFromInputs(ResourceMgr* rm, DeviceBase* dev,
                                  absl::Span<const Tensor* const> inputs,
                                  absl::Span<const int> variable_indices,
                                  std::vector<VariableInfo>* result) {
  return GetVariableInfosFromInputs(rm, dev, inputs, variable_indices, nullptr,

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]
<span style="color: green;">INFO</span>:     Started server process [28722]
<span style="color: green;">INFO</span>:     Waiting for application startup.
<span style="color: green;">INFO</span>:     Application startup complete.
```