self.requireInputArguments(
mandatory= ("Xb", "Y", "HO", "R", "B" ),
)
+ self.setAttributes(tags=(
+ "DataAssimilation",
+ "NonLinear",
+ "Variational",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
mandatory= ("Xb", "Y", "HO", "EM", "R", "B" ),
optional = ("U", "CM"),
)
+ self.setAttributes(tags=(
+ "DataAssimilation",
+ "NonLinear",
+ "Variational",
+ "Dynamic",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "Y", "HO", "R", "B" ),
)
+ self.setAttributes(tags=(
+ "Optimization",
+ "NonLinear",
+ "MetaHeuristic",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "Y", "HO", "R", "B" ),
)
+ self.setAttributes(tags=(
+ "Optimization",
+ "NonLinear",
+ "MetaHeuristic",
+ "Population",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "Y", "HO", "R", "B"),
)
+ self.setAttributes(tags=(
+ "DataAssimilation",
+ "NonLinear",
+ "Filter",
+ "Ensemble",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
mandatory= ("Xb", "Y", "HO", "R", "B"),
optional = ("U", "EM", "CM", "Q"),
)
+ self.setAttributes(tags=(
+ "DataAssimilation",
+ "NonLinear",
+ "Filter",
+ "Ensemble",
+ "Dynamic",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "Y", "HO", "R", "B"),
)
+ self.setAttributes(tags=(
+ "DataAssimilation",
+ "NonLinear",
+ "Filter",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
mandatory= ("Xb", "Y", "HO", "R", "B"),
optional = ("U", "EM", "CM", "Q"),
)
+ self.setAttributes(tags=(
+ "DataAssimilation",
+ "NonLinear",
+ "Filter",
+ "Dynamic",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "HO"),
)
+ self.setAttributes(tags=(
+ "Checking",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "HO"),
)
+ self.setAttributes(tags=(
+ "Checking",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= (),
)
+ self.setAttributes(tags=(
+ "Checking",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
mandatory= ("Xb", "Y", "HO", "R", "B"),
optional = ("U", "EM", "CM", "Q"),
)
+ self.setAttributes(tags=(
+ "DataAssimilation",
+ "Linear",
+ "Filter",
+ "Dynamic",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "HO"),
)
+ self.setAttributes(tags=(
+ "Checking",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "Y", "HO"),
)
+ self.setAttributes(tags=(
+ "Checking",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
class ElementaryAlgorithm(BasicObjects.Algorithm):
def __init__(self):
BasicObjects.Algorithm.__init__(self, "OBSERVERTEST")
+ self.setAttributes(tags=(
+ "Checking",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "HO"),
)
+ self.setAttributes(tags=(
+ "Checking",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "Y", "HO", "R", "B"),
)
+ self.setAttributes(tags=(
+ "Optimization",
+ "NonLinear",
+ "Population",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "Y", "HO" ),
)
+ self.setAttributes(tags=(
+ "Optimization",
+ "Risk",
+ "Variational",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "HO"),
)
+ self.setAttributes(tags=(
+ "Checking",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "Y", "HO", "R", "B"),
)
+ self.setAttributes(tags=(
+ "Optimization",
+ "NonLinear",
+ "MetaHeuristic",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
self.requireInputArguments(
mandatory= ("Xb", "HO"),
)
+ self.setAttributes(tags=(
+ "Checking",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)
mandatory= ("Xb", "Y", "HO", "R", "B" ),
optional = ("U", "EM", "CM", "Q"),
)
+ self.setAttributes(tags=(
+ "DataAssimilation",
+ "NonLinear",
+ "Filter",
+ "Ensemble",
+ "Dynamic",
+ ))
def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
self._pre_run(Parameters, Xb, Y, R, B, Q)