Changeset 8e64cb4 for benchmark

Timestamp:

Dec 19, 2022, 9:37:47 PM (17 months ago)

Author:

caparsons <caparson@…>

Branches:

ADT, ast-experimental, master

Children:

1afda5a2

Parents:

fd6e3a4

Message:

added single run mode and added sample for single run to data

Location:

benchmark/convoy

Files:

• data/single_16_thd (added)
• genConvoyStats.py (modified) (3 diffs)

benchmark/convoy/genConvoyStats.py

@@ +1 @@
+#!/usr/bin/env python3
+
 import os
 import sys
@@ -15 +17 @@
 parser.add_argument("-o", "--OutputFile", default='', help="File to write output to")
 parser.add_argument("-v", "--Verbose", help="Verbose output. Will print per run stats alongside aggregates", action='count', default=0)
+parser.add_argument("-s", "--Single", help="Indicates that input only contains a single run. Assumes the number of threads is the value passed to -m", action='count', default=0)
 
 args = parser.parse_args()
@@ -185 +188 @@
     expected.append(expectedConvoy)
 
-    if args.Verbose:
+    if args.Verbose or args.Single:
         output('Convoying bounds: {:.2f}%-{:.2f}%, Expected convoying: {:.2f}%'.format(lowerBoundConvoy,upperBoundConvoy, expectedConvoy))
 
 
-for i in range(args.MaxThreads):
-    output("N: " + str(i+1))
-
-    goToLineByStartingChars(str(i+1)+' ')
-    for j in range(args.RunsPerNumThds):
-        readInMatrix(i+1)
-        analyzeRun()
-        reset()
-
-    output('Mean convoying bounds: {:.2f}%-{:.2f}%, Mean expected convoying: {:.2f}%'.format(st.mean(minBound), st.mean(maxBound),st.mean(expected)))
-    output('Median convoying bounds: {:.2f}%-{:.2f}%, Median expected convoying: {:.2f}%'.format(st.median(minBound), st.median(maxBound),st.median(expected)))
-    output('')
-    thdReset()
+if args.Single:
+    output("N: " + str(args.MaxThreads))
+    goToLineByStartingChars(str(args.MaxThreads)+' ')
+    readInMatrix(int(args.MaxThreads))
+    analyzeRun()
+    reset()
+else:
+    for i in range(args.MaxThreads):
+        output("N: " + str(i+1))
+
+        goToLineByStartingChars(str(i+1)+' ')
+        for j in range(args.RunsPerNumThds):
+            readInMatrix(i+1)
+            analyzeRun()
+            reset()
+
+        output('Mean convoying bounds: {:.2f}%-{:.2f}%, Mean expected convoying: {:.2f}%'.format(st.mean(minBound), st.mean(maxBound),st.mean(expected)))
+        output('Median convoying bounds: {:.2f}%-{:.2f}%, Median expected convoying: {:.2f}%'.format(st.median(minBound), st.median(maxBound),st.median(expected)))
+        output('')
+        thdReset()
 
 readFile.close()