SFLU

Defined in module: wield.control.SFLU.SFLU.SFLU

class SFLU(edges, derivatives=[], reduce_list=[], inputs=None, outputs=None, graph=False)

Bases: object

__init__(edges, derivatives=[], reduce_list=[], inputs=None, outputs=None, graph=False)

This takes a dictionary of edges which are (row, col) tuples, matched to a value name.

The value name will be mapped into the Espace

derivatives: this argument is a list of either edge pair-tuples or of edge labels. It establishes the list of testpoint and excitation inputs and outputs required to take derivatives.

Methods

SScomputer(**kwargs)
__init__(edges[, derivatives, reduce_list, ...])	This takes a dictionary of edges which are (row, col) tuples, matched to a value name.
addE(*Es)
computer(**kwargs)
convert_self2yamlpy()
convert_self2yamlstr()
convert_yamlstr2self(yamlstr)
graph_labels(labels)
graph_nodes_pos(pos, *nodes[, match])	Assigns the position keyword to nodes.
graph_nodes_posX(posX, *nodes)
graph_nodes_posY(posY, *nodes)
graph_nodes_pos_get(*nodes)
graph_nodes_repr()
graph_positions(pos)
graph_reduce_auto_pos(lX, rX, Y, dY)
graph_reduce_auto_pos_io(lX, rX, Y, dY)
invertE(E)
mulE(*Es)
reduce(*nodes)
reduce_auto()
reduce_single(node)

graph_labels(labels)

graph_positions(pos)

graph_nodes_repr()

graph_nodes_pos(pos, *nodes, match=True)

Assigns the position keyword to nodes.

The first argument “pos” is a tuple of (x, y) locations.

graph_nodes_posX(posX, *nodes)

graph_nodes_posY(posY, *nodes)

graph_nodes_pos_get(*nodes)

graph_reduce_auto_pos(lX, rX, Y, dY)

graph_reduce_auto_pos_io(lX, rX, Y, dY)

convert_self2yamlpy()

convert_self2yamlstr()

classmethod convert_yamlstr2self(yamlstr)

invertE(E)

addE(*Es)

mulE(*Es)

reduce_auto()

reduce(*nodes)

reduce_single(node)

computer(**kwargs)

SScomputer(**kwargs)