def get_points_and_thresholds(filenames):
x = []
y = []
for filename in filenames:
with open(filename, "r") as file:
source_data = file.read()
thresholds_names = find_thresholds_names(source_data)
data = load_data(source_data, thresholds_names)
for threshold in thresholds_names:
x.append(find_threshold(threshold))
y.append(data[threshold])
return x, y
def find_best_goal_function_in_files(filenames):
max_goal = 0
file_with_max_goal = None
for filename in filenames:
with open(filename, "r") as file:
source_data = file.read()
data = load_data(source_data, [FINAL_GOAL_FUN])
if max_goal < data[FINAL_GOAL_FUN]:
max_goal = data[FINAL_GOAL_FUN]
file_with_max_goal = filename
return max_goal, file_with_max_goal
def test_load_data_with_string_list_variable():
data = 'G = ["aaa", "bbb"];'
assert load_data(data, None, None, None, ["G"]) == {"G": ["aaa", "bbb"]}
def test_load_data_with_nested_list_variable():
data = "F = [[0.1, 0.2]];"
assert load_data(data, None, None, ["F"]) == {"F": [[0.1, 0.2]]}
def test_load_data_with_float_list_variable():
data = "B = [0.5, 1.0, 1.0];"
assert load_data(data, None, ["B"]) == {"B": [0.5, 1.0, 1.0]}
def test_load_data_with_int_variable():
data = "A = 3;"
assert load_data(data, ["A"]) == {"A": 3}
def test_load_data_with_multiple_variables():
data = "A = 3; B = [0.5, 1.0, 1.0];"
assert load_data(data, ["A"], ["B"]) == {"A": 3, "B": [0.5, 1.0, 1.0]}
if __name__ == "__main__":
# files = get_list_of_files_from_dir(DIRPATH, ".txt")
files = [FILEPATH]
for filepath in files:
print(filepath)
try:
with open(filepath, "r") as file:
data = file.read()
source_data = normalize_data(
load_data(
data,
DIGITAL_VARIABLES,
LIST_VARIABLES,
NESTED_LIST_VARIABLES,
STRING_LIST_VARIIABLES,
))
val = test_algorithm(0, 2, 28, 0, source_data.copy(), filepath,
RESULTS_DIR)
print(f"0: 1/1: {val}")
val = test_algorithm(1, 2, 28, 0, source_data.copy(), filepath,
RESULTS_DIR)
print(f"1: 1/1: {val}")
val = test_algorithm(2, 2, 28, 0, source_data.copy(), filepath,
RESULTS_DIR)
print(f"2: 1/1: {val}")
for i in range(0, 25):
val = test_algorithm(3, 2, 28, i, source_data.copy(), filepath,