#!/usr/bin/env python3
# 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 unittest
from testutils import *
import sys, os
sys.path.append(os.getenv("OPENRAM_HOME"))
import globals
from globals import OPTS
from sram_factory import factory
import debug

# @unittest.skip("SKIPPING 21_regression_model_test")
class regression_model_test(openram_test):
    """ Compare the accuracy of the analytical model with a spice simulation. """

    def runTest(self):
        config_file = "{}/tests/configs/config".format(os.getenv("OPENRAM_HOME"))
        globals.init_openram(config_file)
        OPTS.analytical_delay = False
        OPTS.netlist_only = 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 linear_regression
        from sram import sram
        from sram_config import sram_config
        c = sram_config(word_size=1,
                        num_words=16,
                        num_banks=1)
        c.words_per_row=1
        c.recompute_sizes()
        debug.info(1, "Testing timing for sample 1bit, 16words SRAM with 1 bank")
        s = factory.create(module_type="sram", sram_config=c)

        tempspice = OPTS.openram_temp + "temp.sp"
        s.sp_write(tempspice)

        probe_address = "1" * s.s.addr_size
        probe_data = s.s.word_size - 1
        debug.info(1, "Probe address {0} probe data bit {1}".format(probe_address, probe_data))

        corner = (OPTS.process_corners[0], OPTS.supply_voltages[0], OPTS.temperatures[0])
        
        m = linear_regression(s.s, tempspice, corner)
        m.cross_validation()

        # Only compare the delays
        # spice_delays = {key:value for key, value in spice_data.items() if 'delay' in key}
        # spice_delays['min_period'] = spice_data['min_period']
        # model_delays = {key:value for key, value in model_data.items() if 'delay' in key}
        # model_delays['min_period'] = model_data['min_period']
        # debug.info(1,"Spice Delays={}".format(spice_delays))
        # debug.info(1,"Model Delays={}".format(model_delays))

        # if OPTS.tech_name == "freepdk45":
            # error_tolerance = 0.25
        # elif OPTS.tech_name == "scn4m_subm":
            # error_tolerance = 0.25
        # else:
            # self.assertTrue(False) # other techs fail

        # print('spice_delays', spice_delays)
        # print('model_delays', model_delays)

        # # Check if no too many or too few results
        # self.assertTrue(len(spice_delays.keys())==len(model_delays.keys()))

        # self.assertTrue(self.check_golden_data(spice_delays,model_delays,error_tolerance))

        globals.end_openram()

# 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(testRunner=debugTestRunner())