OpenRAM/compiler/tests/23_lib_sram_prune_test.py

69 lines
2.0 KiB
Python
Executable File

#!/usr/bin/env python3
"""
Check the .lib file for an SRAM with pruning
"""
import unittest
from testutils import header,openram_test
import sys,os,re
sys.path.append(os.path.join(sys.path[0],".."))
import globals
from globals import OPTS
import debug
class lib_test(openram_test):
def runTest(self):
globals.init_openram("config_20_{0}".format(OPTS.tech_name))
OPTS.analytical_delay = False
OPTS.trim_netlist = True
# This is a hack to reload the characterizer __init__ with the spice version
from importlib import reload
import characterizer
reload(characterizer)
from characterizer import lib
if not OPTS.spice_exe:
debug.error("Could not find {} simulator.".format(OPTS.spice_name),-1)
import sram
debug.info(1, "Testing timing for sample 2 bit, 16 words SRAM with 1 bank")
s = sram.sram(word_size=2,
num_words=16,
num_banks=1,
name="sram_2_16_1_{0}".format(OPTS.tech_name))
tempspice = OPTS.openram_temp + "temp.sp"
s.sp_write(tempspice)
lib(out_dir=OPTS.openram_temp, sram=s, sp_file=tempspice, use_model=False)
# get all of the .lib files generated
files = os.listdir(OPTS.openram_temp)
nametest = re.compile("\.lib$", re.IGNORECASE)
lib_files = filter(nametest.search, files)
# and compare them with the golden model
for filename in lib_files:
newname = filename.replace(".lib","_pruned.lib")
libname = "{0}/{1}".format(OPTS.openram_temp,filename)
golden = "{0}/golden/{1}".format(os.path.dirname(os.path.realpath(__file__)),newname)
self.isapproxdiff(libname,golden,0.40)
reload(characterizer)
globals.end_openram()
# instantiate a copdsay of the class to actually run the test
if __name__ == "__main__":
(OPTS, args) = globals.parse_args()
del sys.argv[1:]
header(__file__, OPTS.tech_name)
unittest.main()