# See LICENSE for licensing information. # # Copyright (c) 2016-2021 Regents of the University of California and The Board # of Regents for the Oklahoma Agricultural and Mechanical College # (acting for and on behalf of Oklahoma State University) # All rights reserved. # import debug from router import router class signal_router(router): """ A router class to read an obstruction map from a gds and plan a route on a given layer. This is limited to two layer routes. """ def __init__(self, layers, design, bbox=None): """ This will route on layers in design. It will get the blockages from either the gds file name or the design itself (by saving to a gds file). """ router.__init__(self, layers, design, bbox) def route(self, src, dest, detour_scale=5): """ Route a single source-destination net and return the simplified rectilinear path. Cost factor is how sub-optimal to explore for a feasible route. This is used to speed up the routing when there is not much detouring needed. """ debug.info(1, "Running signal router from {0} to {1}...".format(src, dest)) self.pins[src] = [] self.pins[dest] = [] # Clear the pins if we have previously routed if (hasattr(self, 'rg')): self.clear_pins() else: # Creat a routing grid over the entire area # FIXME: This could be created only over the routing region, # but this is simplest for now. self.create_routing_grid(signal_grid) # Get the pin shapes self.find_pins_and_blockages([src, dest]) # Block everything self.prepare_blockages() # Clear the pins we are routing self.set_blockages(self.pin_components[src], False) self.set_blockages(self.pin_components[dest], False) # Now add the src/tgt if they are not blocked by other shapes self.add_source(src) self.add_target(dest) if not self.run_router(detour_scale=detour_scale): self.write_debug_gds(stop_program=False) return False self.write_debug_gds(stop_program=False) return True