def decayCyclesHaveInputThatWillBeIgnored():
"""Check if there is any decay-related input that will be ignored."""
try:
powerFracs = utils.expandRepeatedFloats(self.cs["powerFractions"])
availabilities = utils.expandRepeatedFloats(
self.cs["availabilityFactors"]
) or ([self.cs["availabilityFactor"]] * self.cs["nCycles"])
except: # pylint: disable=bare-except
return True
for pf, af in zip(powerFracs, availabilities):
if pf > 0.0 and af == 0.0:
# this will be a full decay step and any power fraction will be ignored. May be ok, but warn.
return True
return False
def _factorsAreValid(factors, maxVal=1.0):
try:
expandedList = utils.expandRepeatedFloats(factors)
except (ValueError, IndexError):
return False
return (all(0.0 <= val <= maxVal for val in expandedList)
and len(expandedList) == self.cs["nCycles"])
def test_expandRepeatedFloats(self):
repeatedFloats = ["150", "2R", 200.0, 175, "4r", 180.0, "0R"]
expectedFloats = [150] * 3 + [200] + [175] * 5 + [180]
self.assertEqual(utils.expandRepeatedFloats(repeatedFloats),
expectedFloats)
def _getPowerFractions(self):
"""Return the power fractions for each cycle of the system as a list."""
return utils.expandRepeatedFloats(
self.cs["powerFractions"]) or ([1.0 for _cl in self.cycleLengths])
def _getAvailabilityFactors(self):
"""Return the availability factors (capacity factor) for each cycle of the system as a list."""
return utils.expandRepeatedFloats(self.cs["availabilityFactors"]) or (
[self.cs["availabilityFactor"]] * self.cs["nCycles"])
def _getCycleLengths(self):
"""Return the cycle length for each cycle of the system as a list."""
return utils.expandRepeatedFloats(
self.cs["cycleLengths"]) or ([self.cs["cycleLength"]] *
self.cs["nCycles"])
