feat: Added result savin for raw data

.gitignore

@@ -13,4 +13,6 @@ cmake-build-debug
 *.52579
 target/
 .pem
-.bin
+.bin
+
+result.csv

demo/runner/runner.py

@@ -4,7 +4,7 @@
 import struct
 import numpy as np
 import matplotlib.pyplot as plt
-
+import csv
 
 REPEATEDEXECUTIONS=10000
 
@@ -93,12 +93,15 @@ def execute(path, name, arg):
 
     fig, axs = plt.subplots(1, len(tasks_used), figsize=(15, 5))
     i=1
+    dataagg={}
+
     for task in tasks_used:
         path = os.path.abspath(f"{democodeString}/{task}")
         print("Running {})".format(task))
         clean(path)
         compile(path)
         edata = execute(path, f"target/{task}", "")
+        dataagg[task]=edata
 
         mean = np.mean(edata)
         std_dev = np.std(edata)
@@ -112,6 +115,21 @@ def execute(path, name, arg):
 
         i = i + 1
 
+    with open("result.csv", "w") as outfile:
+
+        # pass the csv file to csv.writer function.
+        writer = csv.writer(outfile)
+
+        # pass the dictionary keys to writerow
+        # function to frame the columns of the csv file
+        writer.writerow(dataagg.keys())
+
+        # make use of writerows function to append
+        # the remaining values to the corresponding
+        # columns using zip function.
+        writer.writerows(zip(*dataagg.values()))
+
+
     # Creating plot
     #mean = [np.mean(d) for d in data]
     #std_devs = [np.std(d) for d in data]