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#!/usr/bin/env python3
from automata import PTA
from codegen import get_simulated_accountingmethod
import unittest
example_json_1 = {
'parameters': ['datarate', 'txbytes', 'txpower'],
'initial_param_values': [None, None, None],
'state': {
'IDLE': {
'power': {
'static': 5,
}
},
'TX': {
'power': {
'static': 100,
'function': {
'raw': 'regression_arg(0) + regression_arg(1)'
' * parameter(txpower)',
'regression_args': [100, 2]
},
}
},
},
'transitions': [
{
'name': 'init',
'origin': ['UNINITIALIZED', 'IDLE'],
'destination': 'IDLE',
'duration': {
'static': 50000,
},
'set_param': {
'txpower': 10
},
},
{
'name': 'setTxPower',
'origin': 'IDLE',
'destination': 'IDLE',
'duration': {'static': 120},
'energy ': {'static': 10000},
'arg_to_param_map': {0: 'txpower'},
'argument_values': [[10, 20, 30]],
},
{
'name': 'send',
'origin': 'IDLE',
'destination': 'TX',
'duration': {
'static': 10,
'function': {
'raw': 'regression_arg(0) + regression_arg(1)'
' * function_arg(1)',
'regression_args': [48, 8],
},
},
'energy': {
'static': 3,
'function': {
'raw': 'regression_arg(0) + regression_arg(1)'
' * function_arg(1)',
'regression_args': [3, 5],
},
},
'arg_to_param_map': {1: 'txbytes'},
'argument_values': [['"foo"', '"hodor"'], [3, 5]],
'argument_combination': 'zip',
},
{
'name': 'txComplete',
'origin': 'TX',
'destination': 'IDLE',
'is_interrupt': 1,
'timeout': {
'static': 2000,
'function': {
'raw': 'regression_arg(0) + regression_arg(1)'
' * parameter(txbytes)',
'regression_args': [500, 16],
},
},
}
],
}
class TestCG(unittest.TestCase):
def test_statetransition_immediate(self):
pta = PTA.from_json(example_json_1)
pta.set_random_energy_model()
pta.state['IDLE'].power = 9
cg = get_simulated_accountingmethod('static_statetransition_immediate')(pta, 1000000, 'uint8_t', 'uint8_t', 'uint8_t', 'uint8_t')
cg.current_state = pta.state['IDLE']
cg.sleep(7)
self.assertEqual(cg.get_energy(), 9 * 7)
pta.transitions[1].energy = 123
cg.pass_transition(pta.transitions[1])
self.assertEqual(cg.get_energy(), 9 * 7 + 123)
cg.pass_transition(pta.transitions[1])
self.assertEqual(cg.get_energy(), (9 * 7 + 123 + 123) % 256)
cg = get_simulated_accountingmethod('static_statetransition_immediate')(pta, 100000, 'uint8_t', 'uint8_t', 'uint8_t', 'uint8_t')
cg.current_state = pta.state['IDLE']
cg.sleep(7)
self.assertEqual(cg.get_energy(), 0)
cg.sleep(15)
self.assertEqual(cg.get_energy(), 90)
cg.sleep(90)
self.assertEqual(cg.get_energy(), 900 % 256)
cg = get_simulated_accountingmethod('static_statetransition_immediate')(pta, 100000, 'uint8_t', 'uint8_t', 'uint8_t', 'uint16_t')
cg.current_state = pta.state['IDLE']
cg.sleep(7)
self.assertEqual(cg.get_energy(), 0)
cg.sleep(15)
self.assertEqual(cg.get_energy(), 90)
cg.sleep(90)
self.assertEqual(cg.get_energy(), 900)
pta.state['IDLE'].power = 9 # -> 90 uW
pta.transitions[1].energy = 1 # -> 100 pJ
cg = get_simulated_accountingmethod('static_statetransition_immediate')(pta, 1000000, 'uint8_t', 'uint8_t', 'uint8_t', 'uint8_t', 1e-5, 1e-5, 1e-10)
cg.current_state = pta.state['IDLE']
cg.sleep(10) # 10 us
self.assertEqual(cg.get_energy(), 90 * 10)
cg.pass_transition(pta.transitions[1])
self.assertAlmostEqual(cg.get_energy(), 90 * 10 + 100, places=0)
cg.pass_transition(pta.transitions[1])
self.assertAlmostEqual(cg.get_energy(), 90 * 10 + 100 + 100, places=0)
def test_statetransition(self):
pta = PTA.from_json(example_json_1)
pta.set_random_energy_model()
pta.state['IDLE'].power = 9
cg = get_simulated_accountingmethod('static_statetransition')(pta, 1000000, 'uint8_t', 'uint8_t', 'uint8_t', 'uint8_t')
cg.current_state = pta.state['IDLE']
cg.sleep(7)
self.assertEqual(cg.get_energy(), 9 * 7)
pta.transitions[1].energy = 123
cg.pass_transition(pta.transitions[1])
self.assertEqual(cg.get_energy(), 9 * 7 + 123)
cg.pass_transition(pta.transitions[1])
self.assertEqual(cg.get_energy(), (9 * 7 + 123 + 123) % 256)
def test_state_immediate(self):
pta = PTA.from_json(example_json_1)
pta.set_random_energy_model()
pta.state['IDLE'].power = 9
cg = get_simulated_accountingmethod('static_state_immediate')(pta, 1000000, 'uint8_t', 'uint8_t', 'uint8_t', 'uint8_t')
cg.current_state = pta.state['IDLE']
cg.sleep(7)
self.assertEqual(cg.get_energy(), 9 * 7)
pta.transitions[1].energy = 123
cg.pass_transition(pta.transitions[1])
self.assertEqual(cg.get_energy(), 9 * 7)
cg.pass_transition(pta.transitions[1])
self.assertEqual(cg.get_energy(), 9 * 7)
def test_state(self):
pta = PTA.from_json(example_json_1)
pta.set_random_energy_model()
pta.state['IDLE'].power = 9
cg = get_simulated_accountingmethod('static_state')(pta, 1000000, 'uint8_t', 'uint8_t', 'uint8_t', 'uint8_t')
cg.current_state = pta.state['IDLE']
cg.sleep(7)
self.assertEqual(cg.get_energy(), 9 * 7)
pta.transitions[1].energy = 123
cg.pass_transition(pta.transitions[1])
self.assertEqual(cg.get_energy(), 9 * 7)
cg.pass_transition(pta.transitions[1])
self.assertEqual(cg.get_energy(), 9 * 7)
cg = get_simulated_accountingmethod('static_state')(pta, 1000000, 'uint8_t', 'uint16_t', 'uint16_t', 'uint16_t')
if __name__ == '__main__':
unittest.main()
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