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import getopt
import sys
import re
import os
import numpy as np
import pprint
import json
import matplotlib.pyplot as plt
if __name__ == "__main__":
# OPTION RECOGNITION
opt = dict()
optspec = "bench_filename= " "result_filename= "
opt_bench_filename = None
opt_result_filename = None
try:
raw_opts, args = getopt.getopt(sys.argv[1:], "", optspec.split(" "))
for option, parameter in raw_opts:
optname = re.sub(r"^--", "", option)
opt[optname] = parameter
except getopt.GetoptError as err:
print(err, file=sys.stderr)
sys.exit(-1)
if "bench_filename" in opt:
opt_bench_filename = opt["bench_filename"]
else:
sys.exit(-1)
if "result_filename" in opt:
opt_result_filename = opt["result_filename"]
else:
print("wth")
sys.exit(-1)
with open(opt_bench_filename, "r") as f:
configurations = json.load(f)
with open(opt_result_filename, "r") as f:
sequence_line = f.readline()
begin_sequence = sequence_line.rfind("Resulting Sequence: ") + 20
if begin_sequence < 20:
print("nicht gefunden!")
sys.exit(-1)
sequence_substr = sequence_line[begin_sequence:]
resulting_sequence = eval(sequence_substr)
new_line = f.readline()
while new_line == "\n":
new_line = f.readline()
function_line = new_line
pow_function_dict = dict()
while function_line != "\n":
state_name_pos = function_line.find("Power-Function for state ") + 25
state_name_end = function_line.find(":")
state_name = function_line[state_name_pos:state_name_end]
function_string = function_line[state_name_end + 1 : -1]
pow_function_dict[state_name] = function_string
function_line = f.readline()
new_line = "\n"
while new_line == "\n":
new_line = f.readline()
function_line = new_line
dur_function_dict = dict()
while (
function_line != "\n"
and function_line != ""
and "THIS RESULT IS NOT ACCURATE." not in function_line
):
state_name_pos = function_line.find("Duration-Function for state ") + 28
state_name_end = function_line.find(":")
state_name = function_line[state_name_pos:state_name_end]
function_string = function_line[state_name_end + 1 : -1]
dur_function_dict[state_name] = function_string
function_line = f.readline()
param_names = configurations[0]["offline_aggregates"]["paramkeys"][0]
for num_fig in range(0, min(4, len(configurations))):
rand_config_no = np.random.randint(0, len(configurations), 1)[0]
rand_conf = configurations[rand_config_no]
rand_signal = np.array(rand_conf["offline"][0]["uW"])
rand_param = rand_conf["offline_aggregates"]["param"][0]
rand_max_pow = max(rand_signal)
# pprint.pprint(rand_param)
pretty_rand_param = pprint.pformat(rand_param)
print(
str(param_names)
+ "("
+ str(rand_config_no)
+ ")"
+ "\n"
+ pretty_rand_param
)
time = 0
next_time = 0
rand_stepper = 0
pow = 0
resulting_coords = list()
while rand_stepper < len(resulting_sequence):
curr_state = resulting_sequence[rand_stepper]
curr_state_name = "State_" + str(curr_state)
curr_pow_func = pow_function_dict[curr_state_name]
curr_dur_func = dur_function_dict[curr_state_name]
for num_param, name in enumerate(param_names):
replace_string = "parameter(" + name + ")"
curr_pow_func = curr_pow_func.replace(
replace_string, str(rand_param[num_param])
)
curr_dur_func = curr_dur_func.replace(
replace_string, str(rand_param[num_param])
)
pow = eval(curr_pow_func)
dur = eval(curr_dur_func)
next_time = time + dur
start_coord = (time, pow)
end_coord = (next_time, pow)
resulting_coords.append(start_coord)
resulting_coords.append(end_coord)
rand_stepper = rand_stepper + 1
time = next_time
with open("res_conf_" + str(num_fig) + "_signal.txt", "w") as f:
f.write("x,y\n")
for x, y in enumerate(rand_signal):
f.write(str(x) + "," + str(y) + "\n")
with open("res_conf_" + str(num_fig) + "_fit.txt", "w") as f:
f.write("x,y\n")
for x, y in resulting_coords:
f.write(str(x) + "," + str(y) + "\n")
plt.plot(rand_signal)
plt.plot([x for x, y in resulting_coords], [y for x, y in resulting_coords])
plt.savefig("res_conf_" + str(num_fig) + "_pic.pdf", format="pdf", dpi=300)
plt.clf()
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