def __init__(self, problem, shared, verbose=False, memory_limit=0):
"""
Constructor.
"""
multiprocessing.Process.__init__(self)
self.problem = problem
self.shared = shared
self.verbose = verbose
self.memory_limit = memory_limit
if memory_limit > 0:
from memorymonitor import MemoryMonitor
self.memmon = MemoryMonitor()
#!/usr/bin/env python
#http://www-rohan.sdsu.edu/~gawron/mt_plus/mt/course_core/lectures/assignment_five.pdf
#http://www.cs.jhu.edu/~alopez/papers/model1-note.pdf
#http://www.inf.ed.ac.uk/teaching/courses/mt/assignments/assignment2.pdf
#http://www.mt-archive.info/MTMarathon-2010-Lambert-ppt.pdf
import optparse
import sys
from collections import defaultdict
from memorymonitor import MemoryMonitor
memory_mon = MemoryMonitor('madmaze')
startMemory = memory_mon.usage()
def trainfw(itr):
x=0
print "Memory increased by", int(memory_mon.usage()) - startMemory
for (n, (f, e)) in enumerate(bitext):
if n%1000==0:
print "loading...",n
for f_i in set(f):
f_total[f_i] = 0.0
for e_j in set(e):
ef_count[(e_j,f_i)] = 0.0
t_ef[(e_j,f_i)]=1.0
x=0
print "Memory increased by", int(memory_mon.usage()) - startMemory
### script to generate time series data from Will's computer ###
import os, timeit, sys, getpass
from time import sleep, time
from datetime import datetime
sys.path.append(os.getcwd() + '/include/')
from memorymonitor import MemoryMonitor
import commands
small_ratio = 48
## how many hours of recording
# ----- Initialize -----
path = os.getcwd() + '/../../track/'
file = 'track_' + datetime.now().isoformat() + '.txt'
# --- Memory monitor ---
mem_mon = MemoryMonitor(getpass.getuser())
T = 0
# ----- Name & create files -----
tl = ['cpu_', 'mem_']
tfile = []
for t in tl:
temp = path + t + file
os.system('touch ' + temp)
tf = open(temp, 'a')
tfile.append(tf)
tf.write(datetime.now().isoformat() + '\n')
tf.write(' record time: ' + str(small_ratio) + ' hours')
# ----- Start tracking -----
while (T < small_ratio * 3600):
