Global Variables

Sometimes it is inefficient and unnecessary to pass large lists between python and SKILL. In this case global variables come in handy:

from skillbridge import Workspace

ws = Workspace.open()

my_globals = ws.globals('my_globals')
# assign a value from python
my_globals.x << 2
my_globals.y << 3

# read variable on python side
print(my_globals.x() + my_globals.y())

# use variable on SKILL side
print(ws['plus'](my_globals.x, my_globals.y))

You can assign values from a skillbridge function

from skillbridge import Workspace

ws = Workspace.open()

my_globals = ws.globals('my_globals')
# important: use `var` here
my_globals.shapes << ws.ge.get_sel_set.var()

# length is calculated on SKILL side
print(ws['length'](my_globals.shapes))

The higher-order functions foreach, mapcar and setof are also mapped:

from skillbridge import Workspace, loop_var

ws = Workspace.open()

my_globals = ws.globals('my_globals')
my_globals.shapes << ws.ge.get_sel_set.var()

# get the boxes
my_globals.boxes << my_globals.shapes.map(loop_var.b_box)

# filter rectangles
my_globals.rects << my_globals.shapes.filter(loop_var.obj_type == 'rect')

# delete all shapes
my_globals.shapes.for_each(ws.db.delete_object.var(loop_var))

mapcar also supports multiple listst

from skillbridge import Workspace, loop_var_i, loop_var_j

ws = Workspace.open()

my_globals = ws.globals('my_globals')
my_globals.x << [1, 2, 3]
my_globals.y << [1, 2, 4]
my_globals.z << my_globals.x.map(loop_var_i + loop_var_j, j=my_globals.y)
print(my_globals.z())  # [2, 4, 7]