ams.core.service.VarSelect

class ams.core.service.VarSelect(u: Callable, indexer: str, gamma: str = None, name: str = None, tex_name: str = None, unit: str = None, info: str = None, vtype: Type = None, rfun: Callable = None, rargs: dict = None, array_out: bool = True, no_parse: bool = False, sparse: bool = False, **kwargs)

A numerical matrix to select a subset of a 2D variable, u.v[:, idx].

For example, if need to select Energy Storage output power from StaticGen pg, following definition can be used: `python class RTED: ... self.ce = VarSelect(u=self.pg, indexer='genE') ... `

Parameters:

uCallable

The input matrix variable.

indexer: str

The name of the indexer source.

gammastr, optional

The name of the indexer gamma.

namestr, optional

The name of the instance.

tex_namestr, optional

The TeX name for the instance.

unitstr, optional

The unit of the output.

infostr, optional

A description of the operation.

vtypeType, optional

The variable type.

rfunCallable, optional

Function to apply to the output of fun.

rargsdict, optional

Keyword arguments to pass to rfun.

array_outbool, optional

Whether to force the output to be an array.

no_parse: bool, optional

True to skip parsing the service.

sparse: bool, optional

True to return output as scipy csr_matrix.

__init__(u: Callable, indexer: str, gamma: str = None, name: str = None, tex_name: str = None, unit: str = None, info: str = None, vtype: Type = None, rfun: Callable = None, rargs: dict = None, array_out: bool = True, no_parse: bool = False, sparse: bool = False, **kwargs)

Methods

assign_memory(n)	Assign memory for self.v and set the array to zero.
evaluate(*args, **kwargs)
get_all_idxes()	Return all the indexes of this item.
get_idx()
get_names()	Return name in a list
parse(*args, **kwargs)
update()	Update the Parameter value.

Attributes

class_name	Return the class name
n	Return the count of values in self.v.
shape	Return the shape of the service.
size	Return the size.
v	Value of the service.
v0
v1