if (eventSequence.isEmpty()) {
      assertThat(e).isInstanceOf(ConnectionEvent.ConnectStart::class.java)
    } else {
      eventSequence.forEach loop@{
        when (e.closes(it)) {
          null -> return // no open event
          true -> return // found open event
          false -> return@loop // this is not the open event so continue
        }
      }

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	// * an error on failure of unlock request operation.
	ForceUnlock(ctx context.Context, args LockArgs) (bool, error)

	// Returns underlying endpoint of this lock client instance.
	String() string

	// Close closes any underlying connection to the service endpoint
	Close() error

	// Is the underlying connection online? (is always true for any local lockers)
	IsOnline() bool

	// Is the underlying locker local to this server?

```Python hl_lines="9"
{!../../../docs_src/path_params_numeric_validations/tutorial005.py!}
```

## Validações numéricas: valores do tipo float, maior que e menor que

Validações numéricas também funcionam para valores do tipo `float`.

 * limitations under the License.
 */
package okhttp3

import okio.IOException

/**
 * Listener for connection events. Extend this class to monitor the new connections and closes.
 *
 * All event methods must execute fast, without external locking, cannot throw exceptions,
 * attempt to mutate the event parameters, or be reentrant back into the client.

        this.count = len;
        this.digest = null; /*
                             * otherwise recycled commands
                             * like writeandx will choke if session
                             * closes in between
                             */
    }


    @Override
    protected int writeParameterWordsWireFormat ( byte[] dst, int dstIndex ) {
        int start = dstIndex;

	m.Set(sysCPUNice, cpuNiceVal)
	cpuStealVal := math.Round(ts.Steal/tot*100*100) / 100
	m.Set(sysCPUSteal, cpuStealVal)

	// metrics-resource.go runs a job to collect resource metrics including their Avg values and
	// stores them in resourceMetricsMap. We can use it to get the Avg values of CPU idle and IOWait.
	cpuResourceMetrics, found := resourceMetricsMap[cpuSubsystem]
	if found {

  // partitioned tensor are combined into a single entry.
  const TensorSliceReader::VarToDataTypeMap& GetVariableToDataTypeMap() const;

  // Attempts to look up the tensor named "name" and stores the found result in
  // "out_tensor".
  void GetTensor(const string& name,
                 std::unique_ptr<tensorflow::Tensor>* out_tensor,
                 TF_Status* out_status) const;

 private:

	}
	errInvalidAggregation = errors.New("Invalid aggregation seen")
)

type aggVal struct {
	runningSum             *Value
	runningCount           int64
	runningMax, runningMin *Value

	// Stores if at least one record has been seen
	seen bool
}

func newAggVal(fn FuncName) *aggVal {
	switch fn {
	case aggFnAvg, aggFnSum:
		return &aggVal{runningSum: FromFloat(0)}
	case aggFnMin:

// -----------------------------------------------------------------------------
// Core APIs
// -----------------------------------------------------------------------------

// A TF_ExecutionContext stores knowledge about how to execute an operation.
// E.g. it could know whether we're in eager mode or graph mode, keeps track
// of gradient tapes, etc.
typedef struct TF_ExecutionContext TF_ExecutionContext;