#!/usr/bin/env python3 # See LICENSE for licensing information. # # Copyright (c) 2016-2019 Regents of the University of California # All rights reserved. # """ Run regression tests/pex test on an extracted pinv to ensure pex functionality with Ngspice. """ import unittest from testutils import header,openram_test import sys,os sys.path.append(os.path.join(sys.path[0],"..")) import globals from globals import OPTS import debug class ngspice_pex_pinv_test(openram_test): def runTest(self): globals.init_openram("config_{0}".format(OPTS.tech_name)) import pinv # generate the pinv module OPTS.purge_temp = False debug.info(2, "Checking 1x size inverter") tx = pinv.pinv(name="pinv", size=1) self.local_check(tx) # generate its pex file pex_file = self.run_pex(tx) OPTS.purge_temp = True OPTS.analytical_delay = False # load the ngspice OPTS.spice_name = "ngspice" OPTS.spice_exe = "ngspice" import os from characterizer import charutils from charutils import parse_spice_list # setup simulaton sim_file = OPTS.openram_temp + "stim.sp" log_file_name = "timing" # make sure that the library simulation is successful tempsp = "{0}{1}.sp".format(OPTS.openram_temp,tx.name) self.write_simulaton(sim_file, tempsp, tx.name) sp_delay = parse_spice_list(log_file_name, "pinv_delay") assert sp_delay is not "Failed" # generate simulation for pex, make sure the simulation is successful self.write_simulaton(sim_file, pex_file, tx.name) pex_delay = parse_spice_list(log_file_name, "pinv_delay") # make sure the extracted spice simulated assert pex_delay is not "Failed" # if pex data is bigger than original spice file then result is ok # actually this may not always be true depending on the netlist provided # comment out for now #debug.info(2,"pex_delay: {0}".format(pex_delay)) #debug.info(2,"sp_delay: {0}".format(sp_delay)) #assert pex_delay > sp_delay, "pex delay {0} is smaller than sp_delay {1}"\ #.format(pex_delay,sp_delay) globals.end_openram() def write_simulaton(self, sim_file, cir_file, top_module_name): """ write pex spice simulation for a pinv test""" import tech from characterizer import measurements, stimuli corner = (OPTS.process_corners[0], OPTS.supply_voltages[0], OPTS.temperatures[0]) sim_file = open(sim_file, "w") simulaton = stimuli(sim_file,corner) # library files simulaton.write_include(cir_file) # supply voltages simulaton.gen_constant(sig_name ="vdd", v_val = tech.spice["nom_supply_voltage"]) # The scn4m_subm and ngspice combination will have a gnd source error: # "Fatal error: instance vgnd is a shorted VSRC" # However, remove gnd power for all techa pass for this test # simulaton.gen_constant(sig_name = "gnd", # v_val = "0v") run_time = tech.spice["feasible_period"] * 2 # input voltage simulaton.gen_pwl(sig_name ="input", clk_times = [1,1], data_values = [1,0], period=1e9, slew=0.000002, setup=0) # instantiation of simulated pinv simulaton.inst_model(pins = ["input", "output", "vdd", "gnd"], model_name = top_module_name) # delay measurement delay_measure = measurements.delay_measure(measure_name = "pinv_delay", trig_name = "input", targ_name = "output", trig_dir_str = "FALL", targ_dir_str = "RISE") trig_td = trag_td = 0.01 * run_time rest_info = trig_td,trag_td,tech.spice["nom_supply_voltage"] delay_measure.write_measure(simulaton, rest_info) simulaton.write_control(end_time = run_time) sim_file.close() simulaton.run_sim() # run the test from the command line if __name__ == "__main__": (OPTS, args) = globals.parse_args() del sys.argv[1:] header(__file__, OPTS.tech_name) unittest.main()