ams.core.service.NumOpDual#
- class ams.core.service.NumOpDual(u: Callable, u2: Callable, fun: 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, expand_dims: int = None, array_out=True, no_parse: bool = False, sparse: bool = False)[source]#
Performan an operation on two numerical arrays using the function
fun(u.v, u2.v, **args).Note that the scalar output is converted to a 1D array.
The optional kwargs are passed to the input function.
- Parameters:
- uCallable
Input.
- u2Callable
Input2.
- 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.- expand_dimsint, optional
Expand the dimensions of the output array along a specified axis.
- 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, u2: Callable, fun: 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, expand_dims: int = None, array_out=True, no_parse: bool = False, sparse: bool = False)[source]#
Methods
Assign memory for
self.vand set the array to zero.evaluate(*args, **kwargs)Return all the indexes of this item.
get_idx()Return name in a list
parse(*args, **kwargs)update()Update the Parameter value.
Attributes
Return the class name
Return the calculated numerical value of the underlying expression.
Where the live CVXPY object for this item came from.
Return the count of values in
self.v.Return the shape of the service.
Return the size.
Value of the service.