Added Script to process data

Exec/CreateResizeDataframe.py

+import sys
+import glob
+import numpy as np
+import pandas as pd
+from enum import Enum
+
+class G_enum(Enum):
+    TOTAL_RESIZES = 0
+    TOTAL_GROUPS = 1
+    SDR = 2
+    ADR = 3
+    DR = 4
+    RED_METHOD = 5
+    RED_STRATEGY = 6
+    SPAWN_METHOD = 7
+    SPAWN_STRATEGY = 8
+    GROUPS = 9
+    ITERS = 10
+    T_SPAWN = 11
+    T_SR = 12
+    T_AR = 13
+    T_MALLEABILITY = 14
+    T_TOTAL = 15
+    #Malleability specific
+    NP = 0
+    NC = 1
+
+
+#columnsG = ["Total_Resizes", "Total_Groups", "SDR", "ADR", "DR", "Redistribution_Method", \
+#            "Redistribution_Strategy", "Spawn_Method", "Spawn_Strategy", "Groups", \
+#            "Iters", "T_spawn", "T_SR", "T_AR", "T_Malleability", "T_total"] #16
+
+
+columnsM = ["NP", "NC", "SDR", "ADR", "DR", "Redistribution_Method", \
+            "Redistribution_Strategy", "Spawn_Method", "Spawn_Strategy",  \
+            "Iters", "T_spawn", "T_SR", "T_AR", "T_Malleability"] #15
+
+def copy_resize(row, dataM_it, resize):
+  basic_indexes = [G_enum.SDR.value, G_enum.ADR.value, G_enum.DR.value]
+  array_actual_group = [G_enum.ITERS.value,  \
+          G_enum.T_SPAWN.value, G_enum.T_SR.value, \
+          G_enum.T_AR.value, G_enum.T_MALLEABILITY.value]
+  array_next_group = [G_enum.RED_METHOD.value, G_enum.RED_STRATEGY.value, \
+          G_enum.SPAWN_METHOD.value, G_enum.SPAWN_STRATEGY.value]
+
+  dataM_it[G_enum.NP.value] = row[G_enum.GROUPS.value][resize]
+  dataM_it[G_enum.NC.value] = row[G_enum.GROUPS.value][resize+1]
+
+  for index in basic_indexes:
+    dataM_it[index] = row[index]
+    
+  for index in array_actual_group:
+    dataM_it[index-1] = row[index][resize] 
+
+  for index in array_next_group:
+    dataM_it[index] = row[index][resize+1]
+
+
+#-----------------------------------------------
+
+def create_resize_dataframe(dfG, dataM):
+  it = -1
+  for row_index in range(len(dfG)):
+    row = dfG.iloc[row_index]
+    resizes = row[G_enum.TOTAL_RESIZES.value]
+
+    for resize in range(resizes):
+      it += 1
+      dataM.append( [None] * len(columnsM) )
+      copy_resize(row, dataM[it], resize)
+
+#-----------------------------------------------
+if len(sys.argv) < 2:
+    print("The files name is missing\nUsage: python3 CreateResizeDataframe.py input_file.pkl output_name")
+    exit(1)
+
+input_name = sys.argv[1]
+if len(sys.argv) > 2:
+  name = sys.argv[2]
+else:
+  name = "dataM"
+print("File name will be: " + name + ".pkl")
+
+
+dfG = pd.read_pickle(input_name)
+dataM = []
+create_resize_dataframe(dfG, dataM)
+
+dfM = pd.DataFrame(dataM, columns=columnsM)
+dfM.to_pickle(name + '.pkl')
+
+print(dfG)
+print(dfM)

Exec/MallTimes.py

@@ -137,8 +137,6 @@ def read_global_file(f, dataG, it):
         dataG.append([None]*len(columnsG))
         record_new_line(lineS, dataG[it], aux_data)
       elif it>-1:
-        print(lineS)
-        print("== "+ str(it) + "  "+str(runs_in_file) )
         record_time_line(lineS, dataG[it])
 
   return it,runs_in_file