csc.update.RegularFunction

class csc.update.RegularFunction

RegularFunction class represents a node that calculates same operation, done with datas.

__init__(*args, **kwargs)

Methods

__init__(*args, **kwargs)
activity(self)	activity attributes
arguments(self)	its input arguments
attributes(self, d)	array of all input and output attributes
decrease_vector(self, path, direction)	method that decreases vector attribute
equal_to(self, arg0)
full_name(self)	name with all the parent nodes
func_id(self)	its id
has_input(self, name)	check if there is an input with such a name
has_output(self, name)	check if there is an output with such a name
id(self)	get uniqui id
increase_vector(self, path, direction)	method that increases vector attribute
input(self, name)	shortcut if node has only one input attribute
inputs(self)	array of all the inputes attributes
is_active(self)	check whether it is active for current actualities states (see Additional functionality in csc.update.UpdateEditor)
is_convertible(self)	check whether this function will make it to the resulting data graph
is_fictive(self)	whether it is a fictive node (constants, inputs, outputs of a group or external properties)
name(self)	get name
output(self, name)	shortcut if node has only one output attribute
outputs(self)	array of all the outputs attributes
parent_group(self)	return parent group (where this group node is located)
parent_object(self)	return object of the node.
remove_attribute(self, attribute)	method that removes one in vector attribute
resize_vector_inputs(self, count, path)	method that resizes input vector attribute
resize_vector_outputs(self, count, path)	method that resizes output vector attribute
results(self)	its output arguments
set_convertible(self, convertible)	set the state of the function, whether it will be used or not
set_name(self, name)	rename node

__annotations__ = {}

__init__(*args, **kwargs)

__module__ = 'csc.update'

activity(self: csc.update.RegularFunction) → csc.update.ActivityAttribute

activity attributes

arguments(self: csc.update.RegularFunction) → list[csc.update.RegularFunctionAttribute]

its input arguments

decrease_vector(self: csc.update.RegularFunction, path: str, direction: csc.Direction) → None

method that decreases vector attribute

func_id(self: csc.update.RegularFunction) → csc.model.HyperedgeId

its id

increase_vector(self: csc.update.RegularFunction, path: str, direction: csc.Direction) → csc.update.RegularFunctionAttribute

method that increases vector attribute

is_convertible(self: csc.update.RegularFunction) → bool

check whether this function will make it to the resulting data graph

remove_attribute(self: csc.update.RegularFunction, attribute: csc.update.RegularFunctionAttribute) → None

method that removes one in vector attribute

resize_vector_inputs(self: csc.update.RegularFunction, count: int, path: str) → None

method that resizes input vector attribute

resize_vector_outputs(self: csc.update.RegularFunction, count: int, path: str) → None

method that resizes output vector attribute

results(self: csc.update.RegularFunction) → list[csc.update.RegularFunctionAttribute]

its output arguments

set_convertible(self: csc.update.RegularFunction, convertible: bool) → None

set the state of the function, whether it will be used or not