return g + "(" + f + ")";
    }

    @GwtIncompatible @J2ktIncompatible private static final long serialVersionUID = 0;
  }

  /**
   * Creates a function that returns the same boolean output as the given predicate for all inputs.
   *
   * <p>The returned function is <i>consistent with equals</i> (as documented at {@link

	randInterval := func() time.Duration {
		return time.Duration(r.Float64() * 5 * float64(time.Second))
	}

	// To avoid all MinIO nodes reading the tier config object at the same
	// time.
	t := time.NewTimer(tierCfgRefresh + randInterval())
	defer t.Stop()
	for {
		select {
		case <-ctx.Done():
			return
		case <-t.C:
			err := config.Reload(ctx, objAPI)

  TFE_Execute(matmul.get(), &retval, &num_retvals, status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  TFE_DeleteTensorHandle(retval);

  // Custom device: inputs in same custom device works.
  matmul.reset(MatMulOp(context.get(), hcustom0.get(), hcustom0.get()));
  num_retvals = 1;
  executed = false;
  TFE_Execute(matmul.get(), &retval, &num_retvals, status.get());

	}
	workers := *w
	return workers[h%uint64(len(workers))]
}

func (es *expiryState) ResizeWorkers(n int) {
	if n == 0 {
		n = 100
	}

	// Lock to avoid multiple resizes to happen at the same time.
	es.mu.Lock()
	defer es.mu.Unlock()
	var workers []chan expiryOp
	if v := es.workers.Load(); v != nil {
		// Copy to new array.
		workers = append(workers, *v...)
	}

}

// Set server_def on the context, possibly updating it.
// TODO(b/291142876) Simplify TFE_ContextSetServerDefWithTimeoutAndRetries and
// TFE_ContextUpdateServerDefWithTimeout to be simple wrappers around the same
// C++ function.
// Retries are used for CreateContext calls, which is used in
// ParameterServerStrategy initialization to be robust to worker preemption.

    TF_DeleteAbstractOp(add_op);
    // Extract the resulting tensor.
    add_output1 = TF_OutputListGet(add_outputs, 0);
    TF_DeleteOutputList(add_outputs);
  }

  // Same with a second "Add" computing `arg1 + arg1`.
  TF_AbstractTensor* add_output2;
  {
    // Build an abstract operation, inputs and output.
    auto* add_op = TF_NewAbstractOp(graph_ctx);

        long firstTime = observedTimes[0];
        assertTrue(firstTime > 0, "Time should be updated");
        for (int i = 1; i < 10; i++) {
            Assertions.assertEquals(firstTime, observedTimes[i], "All threads should see same time due to volatile");
        }
    }

    /**
     * Test cache refresh mechanism with concurrent access.
     * Verifies that cache is refreshed correctly even with concurrent readers.
     */
    @Test

    Function<? super Integer, Y> g = SerializableTester.reserializeAndAssert(f);
    for (int i = 1; i < 5; i++) {
      // convoluted way to check that the same result happens from each
      Y expected = null;
      try {
        expected = f.apply(i);
      } catch (IllegalArgumentException e) {
        try {
          g.apply(i);
          fail();

        return addr.hashCode();
    }

    /**
     * Compare two addresses for equality. Two <code>UniAddress</code>s are equal
     * if they are both <code>UniAddress</code>' and refer to the same IP address.
     */
    @Override
    public boolean equals(final Object obj) {
        return obj instanceof UniAddress && addr.equals(((UniAddress) obj).addr);
    }
    /*

* `path` - O caminho do arquivo que será transmitido.
* `headers` - Quaisquer cabeçalhos personalizados a serem incluídos, como um dicionário.
* `media_type` - Uma string com o media type. Se não for definida, o nome do arquivo ou path será usado para inferir um media type.
* `filename` - Se definido, será incluído no cabeçalho `Content-Disposition`.