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.

rfunCallable, optional

Function to apply to the output of fun.

rargsdict, optional

Keyword arguments to pass to rfun.

no_parse: bool, optional

True to skip parsing the service.

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.
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