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main_tests.py
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main_tests.py
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import json
import subprocess
import datetime
test_cases_unallowed_crossover = [
{
"algo": { # crossover_1 DONE
"POPULATION_SIZE": 20,
"N_ITERATIONS_UN": 2500,
"MUTATION_RATE": 1,
"UNALL_FIX_LOCATION_PERCENT": 0,
"CROSSOVER_RATE": 0.25,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "with_update"
}
},
{
"algo": { # crossover_2 DONE
"POPULATION_SIZE": 20,
"N_ITERATIONS_UN": 2500,
"MUTATION_RATE": 1,
"UNALL_FIX_LOCATION_PERCENT": 0,
"CROSSOVER_RATE": 0.5,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "with_update"
}
},
{
"algo": { # crossover_3 DONE
"POPULATION_SIZE": 20,
"N_ITERATIONS_UN": 2500,
"MUTATION_RATE": 1,
"UNALL_FIX_LOCATION_PERCENT": 0,
"CROSSOVER_RATE": 0.75,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "with_update"
}
},
{
"algo": { # crossover_4 DONE
"POPULATION_SIZE": 20,
"N_ITERATIONS_UN": 2500,
"MUTATION_RATE": 1,
"UNALL_FIX_LOCATION_PERCENT": 0,
"CROSSOVER_RATE": 1,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "with_update"
}
},
]
test_cases_unallowed = [
{
"algo": { # test_case_0_with_update
"POPULATION_SIZE": 20,
"CROSSOVER_RATE": 0,
"N_ITERATIONS_UN": 2500,
"MUTATION_RATE": 1,
"UNALL_FIX_LOCATION_PERCENT": 0,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "with_update"
}
},
{
"algo": { # test_case_1_no_update
"POPULATION_SIZE": 20,
"N_ITERATIONS_UN": 2500,
"MUTATION_RATE": 1,
"UNALL_FIX_LOCATION_PERCENT": 0,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "no_update"
}
},
{
"algo": { # test_case_2_random
"POPULATION_SIZE": 20,
"N_ITERATIONS_UN": 2500,
"MUTATION_RATE": 1,
"UNALL_FIX_LOCATION_PERCENT": 0,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "random"
}
},
{
"algo": { # crossover_1
"POPULATION_SIZE": 20,
"N_ITERATIONS_UN": 2500,
"MUTATION_RATE": 1,
"UNALL_FIX_LOCATION_PERCENT": 0,
"CROSSOVER_RATE": 0.2,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "with_update"
}
},
{
"algo": { # crossover_2
"POPULATION_SIZE": 20,
"N_ITERATIONS_UN": 2500,
"MUTATION_RATE": 1,
"UNALL_FIX_LOCATION_PERCENT": 0,
"CROSSOVER_RATE": 0.4,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "with_update"
}
},
{
"algo": { # crossover_3
"POPULATION_SIZE": 20,
"N_ITERATIONS_UN": 2500,
"MUTATION_RATE": 1,
"UNALL_FIX_LOCATION_PERCENT": 0,
"CROSSOVER_RATE": 0.6,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "with_update"
}
},
{
"algo": { # fix location_1
"UNALL_FIX_LOCATION_PERCENT": 0.05,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "with_update"
}
},
{
"algo": { # fix location_2
"UNALL_FIX_LOCATION_PERCENT": 0.15,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "with_update"
}
},
{
"algo": { # fix location_3
"UNALL_FIX_LOCATION_PERCENT": 0.30,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "with_update"
}
},
{
"algo": { # fix location_4
"UNALL_FIX_LOCATION_PERCENT": 0.60,
"ONE_MUTATE_RATIO": 0.5,
"UNALL_INITIAL_HEURISTIC": "random"
}
}
]
test_cases_allowed = [
{
"algo": {
"POPULATION_SIZE": 20,
"N_ITERATIONS_AL": 40,
"ALLOWED_HEURISTIC": "work_time",
"ALLOWED_GEN_CREATION": "with_init"
}
},
{
"algo": {
"POPULATION_SIZE": 20,
"N_ITERATIONS_AL": 40,
"ALLOWED_HEURISTIC": "random",
"ALLOWED_GEN_CREATION": "with_init"
}
},
{
"algo": {
"POPULATION_SIZE": 20,
"N_ITERATIONS_AL": 40,
"ALLOWED_HEURISTIC": "smallest_id",
"ALLOWED_GEN_CREATION": "with_init"
}
},
{
"algo": {
"POPULATION_SIZE": 20,
"N_ITERATIONS_AL": 40,
"ALLOWED_HEURISTIC": "work_time",
"ALLOWED_GEN_CREATION": "with_init",
"MUTATION_RATE": 0.25
}
},
{
"algo": {
"POPULATION_SIZE": 20,
"N_ITERATIONS_AL": 40,
"ALLOWED_HEURISTIC": "work_time",
"ALLOWED_GEN_CREATION": "with_init",
"MUTATION_RATE": 0.5
}
},
{
"algo": {
"POPULATION_SIZE": 20,
"N_ITERATIONS_AL": 40,
"ALLOWED_HEURISTIC": "work_time",
"ALLOWED_GEN_CREATION": "with_init",
"MUTATION_RATE": 0.75
}
}
]
test_cases_allowed_two_pop = [
{
"algo": {
"POPULATION_SIZE": 20,
"N_ITERATIONS_AL": 40,
"ALLOWED_HEURISTIC": "work_time",
"ALLOWED_GEN_CREATION": "two_pop",
"MUTATION_RATE": 1
}
},
{
"algo": {
"POPULATION_SIZE": 20,
"N_ITERATIONS_AL": 40,
"ALLOWED_HEURISTIC": "random",
"ALLOWED_GEN_CREATION": "two_pop",
"MUTATION_RATE": 1
}
},
{
"algo": {
"POPULATION_SIZE": 20,
"N_ITERATIONS_AL": 40,
"ALLOWED_HEURISTIC": "smallest_id",
"ALLOWED_GEN_CREATION": "two_pop",
"MUTATION_RATE": 1
}
}
]
structs_files = ['structs_I.json', 'structs_II.json', 'structs_III.json']
def get_current_timestamp():
return datetime.datetime.now().strftime("%m-%d-%H-%M-%S")
def update_parameters_file(params, file_path='parameters.json'):
def update_recursive(d, u):
for k, v in u.items():
if isinstance(v, dict):
d[k] = update_recursive(d.get(k, {}), v)
else:
d[k] = v
return d
with open(file_path, 'r') as file:
data = json.load(file)
updated_data = update_recursive(data, params)
with open(file_path, 'w') as file:
json.dump(updated_data, file, indent=4)
def run_main_allowed(structs_file, plot_filename):
current_timestamp = get_current_timestamp()
command = f'python main_allowed.py --pickle json'
inputs = f'{plot_filename}_{current_timestamp}\n{structs_file}\n'
process = subprocess.Popen(command, shell=True, stdin=subprocess.PIPE)
process.communicate(input=inputs.encode())
return process.returncode == 0
def run_main_unallowed(structs_file, plot_filename):
current_timestamp = get_current_timestamp()
command = f'python main_unallowed.py'
inputs = f'{plot_filename}_{current_timestamp}\nyes\n{structs_file}\nno\n'
process = subprocess.Popen(command, shell=True, stdin=subprocess.PIPE)
process.communicate(input=inputs.encode())
return process.returncode == 0
def main():
for test_case_index, test_case in enumerate(test_cases_allowed):
print(f"Test case being run: {test_case}")
update_parameters_file(test_case)
for structs_file in structs_files:
plot_filename = f"plot_test_case_with_init{test_case_index}_{structs_file.split('.')[0]}"
print(f"Running test case {test_case_index} with {structs_file}")
success = run_main_allowed(structs_file, plot_filename)
if not success:
print(f"Error occurred while running test case {test_case_index} with {structs_file}")
else:
print(f"Completed test case {test_case_index} with {structs_file}")
print("All test cases for allowed approach completed.")
for test_case_index, test_case in enumerate(test_cases_unallowed):
print(f"Test case being run: {test_case}")
update_parameters_file(test_case)
for structs_file in structs_files:
plot_filename = f"plot_test_case_{test_case_index}_{structs_file.split('.')[0]}"
print(f"Running test case {test_case_index} with {structs_file}")
success = run_main_unallowed(structs_file, plot_filename)
if not success:
print(f"Error occurred while running test case {test_case_index} with {structs_file}")
else:
print(f"Completed test case {test_case_index} with {structs_file}")
print("All test cases for unallowed approach completed.")
for test_case_index, test_case in enumerate(test_cases_allowed_two_pop):
print(f"Test case being run: {test_case}")
update_parameters_file(test_case)
for structs_file in structs_files:
plot_filename = f"plot_test_case_two_pop{test_case_index}_{structs_file.split('.')[0]}"
print(f"Running test case {test_case_index} with {structs_file}")
success = run_main_allowed(structs_file, plot_filename)
if not success:
print(f"Error occurred while running test case {test_case_index} with {structs_file}")
else:
print(f"Completed test case {test_case_index} with {structs_file}")
print("All test cases for unallowed approach completed.")
for test_case_index, test_case in enumerate(test_cases_unallowed_crossover):
print(f"Test case being run: {test_case}")
update_parameters_file(test_case)
for structs_file in structs_files:
plot_filename = f"plot_test_case_crossover_{test_case_index}_{structs_file.split('.')[0]}"
print(f"Running test case {test_case_index} with {structs_file}")
success = run_main_unallowed(structs_file, plot_filename)
if not success:
print(f"Error occurred while running test case {test_case_index} with {structs_file}")
else:
print(f"Completed test case {test_case_index} with {structs_file}")
print("All test cases for unallowed approach completed.")
if __name__ == "__main__":
main()