ams.core.service.NumHstack

class ams.core.service.NumHstack(u: Callable, ref: Callable, args: dict = None, name: str = None, tex_name: str = None, unit: str = None, info: str = None, vtype: Type = None, rfun: Callable = None, rargs: dict = None, no_parse: bool = False, sparse: bool = False)

Repeat an array along the second axis nc times or the length of reference array, using NumPy's hstack function, where nc is the column number of the reference array, np.hstack([u.v[:, np.newaxis] * ref.shape[1]], **kwargs).

Parameters:

uCallable

Input array.

refCallable

Reference array used to determine the number of repetitions.

namestr, optional

Instance name.

tex_namestr, optional

TeX name.

unitstr, optional

Unit.

infostr, optional

Description.

vtypeType, optional

Variable type.

modelstr, optional

Model name.

sparse: bool, optional

True to return output as scipy csr_matrix.

__init__(u: Callable, ref: Callable, args: dict = None, name: str = None, tex_name: str = None, unit: str = None, info: str = None, vtype: Type = None, rfun: Callable = None, rargs: dict = None, no_parse: bool = False, sparse: bool = False)

Methods

assign_memory(n)	Assign memory for self.v and set the array to zero.
get_names()	Return name in a list
parse()	Parse the parameter.
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