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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def getExponentialFormatPrecision(self, result=None):
 """ Returns the precision for the Analysis Service and result provided. Results with a precision value above this exponential format precision should be formatted as scientific notation. If the Calculate Precision according to Uncertainty is not set, the method will return the exponential precision value set in the Schema. Otherwise, will calculate the precision value according to the Uncertainty and the result. If Calculate Precision from the Uncertainty is set but no result provided neither uncertainty values are set, returns the fixed exponential precision. Will return positive values if the result is below 0 and will return 0 or positive values if the result is above 0. Given an analysis service with fixed exponential format precision of 4: Result Uncertainty Returns 5.234 0.22 0 13.5 1.34 1 0.0077 0.008 -3 32092 0.81 4 456021 423 5 For further details, visit https://jira.bikalabs.com/browse/LIMS-1334 :param result: if provided and "Calculate Precision according to the Uncertainty" is set, the result will be used to retrieve the uncertainty from which the precision must be calculated. Otherwise, the fixed-precision will be used. :returns: the precision """

        if not result or self.getPrecisionFromUncertainty() is False:
            return self._getExponentialFormatPrecision()
        else:
            uncertainty = self.getUncertainty(result)
            if uncertainty is None:
                return self._getExponentialFormatPrecision()

            try:
                float(result)
            except ValueError:
                # if analysis result is not a number, then we assume in range
                return self._getExponentialFormatPrecision()

            return get_significant_digits(uncertainty)