[mlpack-svn] r15305 - mlpack/conf/jenkins-conf/benchmark/methods/mlpack
fastlab-svn at coffeetalk-1.cc.gatech.edu
fastlab-svn at coffeetalk-1.cc.gatech.edu
Mon Jun 24 16:46:31 EDT 2013
Author: marcus
Date: 2013-06-24 16:46:31 -0400 (Mon, 24 Jun 2013)
New Revision: 15305
Added:
mlpack/conf/jenkins-conf/benchmark/methods/mlpack/emst.py
Log:
Add script to benchmark the Fast Euclidean Minimum Spanning Tree method.
Added: mlpack/conf/jenkins-conf/benchmark/methods/mlpack/emst.py
===================================================================
--- mlpack/conf/jenkins-conf/benchmark/methods/mlpack/emst.py (rev 0)
+++ mlpack/conf/jenkins-conf/benchmark/methods/mlpack/emst.py 2013-06-24 20:46:31 UTC (rev 15305)
@@ -0,0 +1,117 @@
+'''
+ @file emst.py
+ @author Marcus Edel
+
+ Class to benchmark the mlpack Fast Euclidean Minimum Spanning Tree method.
+'''
+
+import os
+import sys
+import inspect
+
+# Import the util path, this method even works if the path contains
+# symlinks to modules.
+cmd_subfolder = os.path.realpath(os.path.abspath(os.path.join(
+ os.path.split(inspect.getfile(inspect.currentframe()))[0], '../../util')))
+if cmd_subfolder not in sys.path:
+ sys.path.insert(0, cmd_subfolder)
+
+from log import *
+
+import shlex
+import subprocess
+import re
+import collections
+
+class EMST(object):
+
+ # Create the Fast Euclidean Minimum Spanning Tree instance,
+ # show some informations and return the instance.
+ def __init__(self, dataset, path='/usr/local/bin/', verbose=True):
+ self.verbose = verbose
+ self.dataset = dataset
+ self.path = path
+
+ # Get description from executable.
+ cmd = shlex.split(self.path + "emst -h")
+ s = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=False)
+
+ # Use regular expression pattern to get the description.
+ pattern = re.compile(r"""(.*?)Required.*?options:""",
+ re.VERBOSE|re.MULTILINE|re.DOTALL)
+
+ match = pattern.match(s)
+ if not match:
+ Log.Warn("Can't parse description", self.verbose)
+ description = ''
+ else:
+ description = match.group(1)
+
+ # Show method informations.
+ # Log.Notice(description)
+ # Log.Notice('\n')
+
+ # Remove created files.
+ def __del__(self):
+ Log.Info('Clean up.', self.verbose)
+ filelist = ['gmon.out', 'leaf_class_membership.txt']
+ for f in filelist:
+ if os.path.isfile(f):
+ os.remove(f)
+
+ # Perform Fast Euclidean Minimum Spanning Tree and return
+ # the elapsed time.
+ def RunMethod(self, options):
+ Log.Info('Perform EMST.', self.verbose)
+
+ cmd = shlex.split(self.path + "emst -i " + self.dataset + " -v " +
+ options)
+
+ # Run command with the nessecary arguments and return its output as
+ # a byte string. We have untrusted input so we disables all shell
+ # based features.
+ s = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=False)
+
+ # Return the elapsed time.
+ timer = self.parseTimer(s)
+ if not timer:
+ Log.Fatal("Can't parse the timer", self.verbose)
+ return 0
+ else:
+ time = self.GetTime(timer)
+ Log.Info(('total time: %fs' % (time)), self.verbose)
+
+ return time
+
+ # Parse the timer data.
+ def parseTimer(self, data):
+ # Compile the regular expression pattern into a regular expression object
+ # to parse the timer data.
+ pattern = re.compile(r"""
+ .*?loading_data: (?P<loading_data>.*?)s.*?
+ .*?saving_data: (?P<saving_data>.*?)s.*?
+ .*?total_time: (?P<total_time>.*?)s.*?
+ """, re.VERBOSE|re.MULTILINE|re.DOTALL)
+
+ match = pattern.match(data)
+
+ if not match:
+ print "Can't parse the data: wrong format"
+ return False
+ else:
+ # Create a namedtuple and return the timer data.
+ timer = collections.namedtuple('timer', ['loading_data',
+ 'saving_data', 'total_time'])
+ if match.group("loading_data").count(".") == 1:
+ return timer(float(match.group("loading_data")),
+ float(match.group("saving_data")),
+ float(match.group("total_time")))
+ else:
+ return timer(float(match.group("loading_data").replace(",", ".")),
+ float(match.group("saving_data").replace(",", ".")),
+ float(match.group("total_time").replace(",", ".")))
+
+ # Return the elapsed time.
+ def GetTime(self, timer):
+ time = timer.total_time - timer.loading_data - timer.saving_data
+ return time
\ No newline at end of file
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