[mlpack-svn] r15816 - in mlpack/conf/jenkins-conf/benchmark: . util

fastlab-svn at coffeetalk-1.cc.gatech.edu fastlab-svn at coffeetalk-1.cc.gatech.edu
Fri Sep 20 06:42:02 EDT 2013


Author: marcus
Date: Fri Sep 20 06:42:01 2013
New Revision: 15816

Log:
Remove numpy dependency.

Modified:
   mlpack/conf/jenkins-conf/benchmark/Makefile
   mlpack/conf/jenkins-conf/benchmark/util/graph.py

Modified: mlpack/conf/jenkins-conf/benchmark/Makefile
==============================================================================
--- mlpack/conf/jenkins-conf/benchmark/Makefile	(original)
+++ mlpack/conf/jenkins-conf/benchmark/Makefile	Fri Sep 20 06:42:01 2013
@@ -102,7 +102,7 @@
 	@echo "                         syntax and then try to open files referred in the"
 	@echo "                         configuration file."
 	@echo "  run [parameters]       Perform the benchmark with the given config."
-	@echo "  memory [parameters]    Get memory profiling information with the given config"
+	@echo "  memory [parameters]    Get memory profiling information with the given config."
 	@echo "  scripts                Compile the java files for the weka methods."
 	@echo "  reports [parameters]   Create the reports."
 	@echo "  help                   Show this info."

Modified: mlpack/conf/jenkins-conf/benchmark/util/graph.py
==============================================================================
--- mlpack/conf/jenkins-conf/benchmark/util/graph.py	(original)
+++ mlpack/conf/jenkins-conf/benchmark/util/graph.py	Fri Sep 20 06:42:01 2013
@@ -17,7 +17,6 @@
 from misc import *
 from log import *
 
-import numpy as np
 import matplotlib
 
 matplotlib.use("Agg")
@@ -258,7 +257,7 @@
       data += data
       
     # Create the data for the x-axis.
-    X = np.arange(len(data))
+    X = list(range(len(data)))
 
     # Plot the line chart.
     plt.plot(X, data, color=colors[0], alpha=opacity, linewidth=1.7)
@@ -324,7 +323,7 @@
     memStackB = [(int(i) / 1024) + 0.0001 for i in  re.findall(r"mem_stacks_B=(\d*)", content)]
 
     # Plot the memory information.
-    X = np.arange(len(memHeapExtraB))
+    X = list(range(len(memHeapExtraB)))
     X = [x+0.0001 for x in X]
     plt.fill_between(X, memHeapExtraB, 0, color="#109618", alpha=0.6)
     plt.fill_between(X, memHeapExtraB, memHeapB, color="#DC3912", alpha=0.6)



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