def initialize_state():
sumoProcessCmd = run_sumo(SUMO)
traci.init(PORT)
select_valid_edges()
genetic.initialize()
state.initialized = True
traci.close()
sumoProcessCmd.wait()
def initialize_state():
sumoProcessCmd = run_sumo(SUMO)
traci.init(PORT)
select_valid_edges()
genetic.initialize()
state.initialized = True
traci.close()
sumoProcessCmd.wait()
#! /usr/bin/env python
def fitness_function(bin_string):
from expression import eval_bin_string
val = eval_bin_string(bin_string)
if val == required_int:
ret = float("inf")
else:
ret = 1 / abs(float(val - required_int))
return ret
if __name__ == '__main__':
import genetic
from expression import eval_bin_string, conv_to_expression
global required_int
required_int = int(raw_input('Input integer: '))
genetic.initialize(50, 4, 100, fitness_function, 0.7, 0.001)
while True:
fittest = genetic.get_fittest(5)
print "Most fittest:",
for v in fittest:
print eval_bin_string(v),
print
if eval_bin_string(fittest[0]) == required_int:
break
genetic.next_generation()
print "Found expression: %s" % conv_to_expression(genetic.get_fittest(1)[0])
#! /usr/bin/env python
def fitness_function(bin_string):
from expression import eval_bin_string
val = eval_bin_string(bin_string)
if val == required_int:
ret = float("inf")
else:
ret = 1 / abs(float(val - required_int))
return ret
if __name__ == '__main__':
import genetic
from expression import eval_bin_string, conv_to_expression
global required_int
required_int = int(raw_input('Input integer: '))
genetic.initialize(50, 4, 100, fitness_function, 0.7, 0.001)
while True:
fittest = genetic.get_fittest(5)
print "Most fittest:",
for v in fittest:
print eval_bin_string(v),
print
if eval_bin_string(fittest[0]) == required_int:
break
genetic.next_generation()
print "Found expression: %s" % conv_to_expression(
genetic.get_fittest(1)[0])
def test_initialize():
"""Test population initalization"""
population = genetic.initialize()
assert(isinstance(population, list))
assert(len(population) == genetic.individuals)
import genetic
import fitness
import mock
import random
import pytest
"""Pytest TDD Test definition file"""
__author__ = "Ernesto Serrano"
__license__ = "GPLv3"
__email__ = "*****@*****.**"
population = genetic.initialize()
def test_individual():
"""Test individual generation"""
config = genetic.individual()
assert (isinstance(config, list))
assert (len(config) == genetic.genes)
def test_initialize():
"""Test population initalization"""
assert (isinstance(population, list))
assert (len(population) == genetic.individuals)
@mock.patch('fitness.calculate_fitness', return_value=random.randint(0, 999))
def test_selection_and_reproduction(function):
"""Test selection and reproduction"""
local_population = [(i[0], i) for i in population]