List Modifier

This node offers an assortment of list modification functions. The node has both Unary and Binary modes.

• In Unary mode it will use the input of either sockets, it will use data1 first, then check data2

• If both are linked data1 is used.

• The node will draw the name of the current mode into the node header, useful for minimized nodes.

Behaviour

Modes	inputs	Behaviour Description
Set	unary	turns the valid input into a set input = [0,0,0,1,1,1,3,3,3,5,5,5,6,7,8,4,4,4,6,6,6,7,7,7,8] output = [set(input)]
Ordered Set by input	unary	only unique numbers but ordered by the original input sequence input = [0,0,0,1,1,1,3,3,3,5,5,5,6,7,8,4,4,4,6,6,6,7,7,7,8] output = [0,1,3,5,6,7,8,4]
Unique Consecutives	unary	no consecutive repeats input = [0,0,0,1,1,1,3,3,3,5,5,5,6,7,8,4,4,4,6,6,6,7,7,7,8] output = [0,1,3,5,6,7,8,4,6,7,8]
Sequential Set	unary	unique input values, ordered by their value input = [0,0,0,1,1,1,3,3,3,5,5,5,6,7,8,4,4,4,6,6,6,7,7,7,8] output = [0,1,3,4,5,6,7,8]
Sequential Set Rev	unary	unique input values, ordered by their value, reversed input = [0,0,0,1,1,1,3,3,3,5,5,5,6,7,8,4,4,4,6,6,6,7,7,7,8] output = [8,7,6,5,4,3,1,0]
Normalize	unary	scales down the values in the list to the range -1.0 .. 1.0
Accumulating Sum	unary	see itertools.accumulate input = list(accumulate(range(10))) output = [0,1,3,6,10,15,21,28,36,45]
Mask Subset	binary	generates a mask to indicate for each value in A whether it appears in B A = [0,1,2,3,4,5,6,7] B = [2,3,4,5] output = [False, False, True, True, True, True, False, False]
Intersection	binary	returns the set of items that appear in both A and B
Union	binary	returns the set of items A joined with B
Difference	binary	returns the set of items from A that don’t appear in B
Symmetric Diff	binary	returns the set of elements of A and B that don’t appear in Both

• output as list

The boolean switch to output as list will be on by default, essentially it will wrap the output as a list because true sets don’t have a defined order (which we do need most of the time).

Example

See the pullrequest for details : https://github.com/nortikin/sverchok/pull/884

also see the original thread : https://github.com/nortikin/sverchok/issues/865