flags = sigtable[sig].flags
	}

	// If the signal is ignored, raising the signal is no-op.
	if handler == _SIG_IGN || (handler == _SIG_DFL && flags&_SigIgn != 0) {
		return
	}

	// Reset the signal handler and raise the signal.
	// We are currently running inside a signal handler, so the
	// signal is blocked. We need to unblock it before raising the
	// signal, or the signal we raise will be ignored until we return

    func: Callable[[], NotNoneT], error_msg: str
) -> Optional[NotNoneT]:
  """Calls `func` and returns `None` on error.

  This is used to gracefully return the 'error status' represented as `None`, as
  raising exceptions from `PyFunctionLibrary` methods crashes the program.

  Args:
    func: The function to run. The function should be a callable returning a
      non-None value.

* Ṣàyẹ̀wò bóyá ìbéèrè àṣàyàn pàrámítà kan wà tí orúkọ rẹ̀ ń jẹ́ `q` (gẹ́gẹ́ bíi `http://127.0.0.1:8000/items/foo?q=somequery`) fún ìbéèrè HTTP `GET`.
    * Bí wọ́n ṣe kéde pàrámítà `q` pẹ̀lú `= None`, ó jẹ́ àṣàyàn (i.e optional).
    * Láìsí `None` yóò nílò (gẹ́gẹ́ bí kókó èsì ìbéèrè HTTP ṣe wà pẹ̀lú `PUT`).
* Fún àwọn ìbéèrè HTTP `PUT` sí `/items/{item_id}`, kà kókó èsì ìbéèrè HTTP gẹ́gẹ́ bí JSON:

     * determined experimentally to match our desired probability of false positives.
     */
    // NB: yes, this is surprisingly high, but that's what the experiments said was necessary
    // Raising this number slows the worst-case contains behavior, speeds up hashFloodingDetected,
    // and reduces the false-positive probability.
    static final int MAX_RUN_MULTIPLIER = 13;

    /**

      one from the check_success function.
    resolve_symlinks: (Bool) Translate symbolic links into the real filepath.
    n_ask_attempts: (Integer) Number of times to query for valid input before
      raising an error and quitting.

  Returns:
    [String] The value of var_name after querying for input.

  Raises:
    UserInputError: if a query has been attempted n_ask_attempts times without

        assertTrue(future.isCancelled());
        if (future.wasInterrupted()) {
          // We were cancelled, it is possible that setFuture could have succeeded too.
          assertThat(numSuccessfulSetCalls.get()).isIn(Range.closed(1, 2));
        } else {
          assertThat(numSuccessfulSetCalls.get()).isEqualTo(1);
        }
      } else {
        assertThat(numSuccessfulSetCalls.get()).isEqualTo(1);
      }

        assertTrue(future.isCancelled());
        if (future.wasInterrupted()) {
          // We were cancelled, it is possible that setFuture could have succeeded too.
          assertThat(numSuccessfulSetCalls.get()).isIn(Range.closed(1, 2));
        } else {
          assertThat(numSuccessfulSetCalls.get()).isEqualTo(1);
        }
      } else {
        assertThat(numSuccessfulSetCalls.get()).isEqualTo(1);
      }

		}
		day = d
	} else {
		if month < 0 {
			month = int(January)
		}
		if day < 0 {
			day = 1
		}
	}

	// Validate the day of the month.
	if day < 1 || day > daysIn(Month(month), year) {
		return Time{}, newParseError(alayout, avalue, "", value, ": day out of range")
	}

	if z != nil {
		return Date(year, Month(month), day, hour, min, sec, nsec, z), nil
	}

	31 + 28 + 31 + 30 + 31 + 30 + 31 + 31 + 30 + 31,
	31 + 28 + 31 + 30 + 31 + 30 + 31 + 31 + 30 + 31 + 30,
	31 + 28 + 31 + 30 + 31 + 30 + 31 + 31 + 30 + 31 + 30 + 31,
}

func daysIn(m Month, year int) int {
	if m == February && isLeap(year) {
		return 29
	}
	return int(daysBefore[m] - daysBefore[m-1])
}

// daysSinceEpoch takes a year and returns the number of days from

        error reporting for `tf.distribute.MultiWorkerMirroredStrategy`.
        Specifically, for the type of interruption with advance notice, it
        automatically saves a checkpoint, exits the program without raising an
        unrecoverable error, and restores the progress when training restarts.

*   `tf.math`:

    *   Added `tf.math.approx_max_k` and `tf.math.approx_min_k` which are the