def process_file(file, mantissa, exp, range_my_dict, abs_my_dict):
try:
print("\n\n\n\n" + file + "\n\n\n\n\n")
f = open(file, "r")
file_name = (ntpath.basename(file).split(".")[0]
).lower() # (file.split(".")[0]).lower()
text = f.read()
text = text[:-1]
f.close()
myYacc = FPRyacc(text, False)
start_time = time.time()
T = TreeModel(
myYacc, mantissa, exp, [40, 10], 50,
250000) #, error_model="typical", dependent_mode="p-box")
end_time = time.time()
print("Exe time --- %s seconds ---" % (end_time - start_time))
finalTime = end_time - start_time
if os.path.exists(output_path + file_name):
shutil.rmtree(output_path + file_name)
os.makedirs(output_path + file_name)
#loadedSamples, values_samples, abs_err_samples, rel_err_samples = T.generate_error_samples(5, file_name)
loadedGolden, values_golden, abs_err_golden, rel_err_golden, err_golden = T.generate_error_samples(
golden_model_time, file_name, golden=True)
with open(
output_path + file_name + "/" + file_name +
"_constraints_log.out", "w+") as log:
print(T.logging_constraints, file=log)
f = open(
output_path + file_name + "/" + file_name + "_CDF_summary.out",
"w+")
f.write("Execution Time:" + str(finalTime) + "s \n\n")
plot_range_analysis_CDF(T, loadedGolden, values_golden, f, file_name,
range_my_dict.get(file_name))
plot_abs_error_analysis_CDF(T, loadedGolden, abs_err_golden, f,
file_name, abs_my_dict.get(file_name),
rel_my_dict.get(file_name))
#plot_error_analysis_CDF(T, loadedGolden, err_golden, f, file_name, abs_my_dict.get(file_name), rel_my_dict.get(file_name))
#plot_abs_error_analysis_CDF(T.relative_err_distr, loadedGolden, rel_err_samples, rel_err_golden, f, file_name, abs_my_dict.get(file_name), rel_my_dict.get(file_name))
f.flush()
f.close()
f = open(
output_path + file_name + "/" + file_name + "_PDF_summary.out",
"w+")
f.write("Execution Time:" + str(finalTime) + "s \n\n")
#plot_range_analysis_PDF(T.final_quantized_distr, loadedGolden, values_golden, f, file_name, range_my_dict.get(file_name))
#plot_error_analysis_PDF(T.abs_err_distr, loadedGolden, abs_err_samples, abs_err_golden, f, file_name, abs_my_dict.get(file_name), rel_my_dict.get(file_name))
f.flush()
f.close()
except Exception as e:
logging.error(traceback.format_exc())
finally:
del values_golden, abs_err_golden, rel_err_golden
gc.collect()
matplotlib.pyplot.close("all")
