pywr.parameters.DeficitParameter
- class pywr.parameters.DeficitParameter(model, node, *args, **kwargs)
Parameter track the deficit (max_flow - actual flow) of a Node
- Parameters:
- modelpywr.model.Model
- nodeNode
The node that will have it’s deficit tracked
Notes
This parameter is a little unusual in that it’s value is calculated during the after method, not calc_values. It is intended to be used in combination with a recorder (e.g. NumpyArrayNodeRecorder) to record the deficit ( defined as requested - actual flow) at a node. Note that this means recording this parameter does not give you the value that was used by the solver in this timestep. Alternatively, this parameter can be used in the model by other parameters and will evaluate to yesterdays deficit, where the deficit in the zeroth timestep is zero.
- __init__(*args, **kwargs)
Methods
__init__(*args, **kwargs)after(self)before(self)finish(self)get_all_values(self)get_constant_value(self)Return a constant value.
get_double_lower_bounds(self)get_double_upper_bounds(self)get_double_variables(self)get_integer_lower_bounds(self)get_integer_upper_bounds(self)get_integer_variables(self)get_value(self, ScenarioIndex scenario_index)load(cls, model, data)register(cls)reset(self)set_double_variables(self, double[)set_integer_variables(self, int[)setup(self)unregister(cls)value(self, Timestep ts, ...)Attributes
childrencommentcomment: str
double_sizedouble_size: 'int'
integer_sizeinteger_size: 'int'
is_constantis_variableis_variable: 'bool'
modelnamenodenode: pywr._core.Node
parentssizetagstags: dict