Replaced slow pexpect with subprocess.popen which is fast. Implemented Results()...

[progcomp10.git] / src / link / pexpect / examples / uptime.py

diff --git a/src/link/pexpect/examples/uptime.py b/src/link/pexpect/examples/uptime.py
deleted file mode 100755 (executable)
index f5018df..0000000
--- a/src/link/pexpect/examples/uptime.py
+++ /dev/null
@@ -1,57 +0,0 @@
-#!/usr/bin/env python
-
-"""This displays uptime information using uptime. This is redundant,
-but it demonstrates expecting for a regular expression that uses subgroups.
-
-$Id: uptime.py 489 2007-11-28 23:40:34Z noah $
-"""
-
-import pexpect
-import re
-
-# There are many different styles of uptime results. I try to parse them all. Yeee!
-# Examples from different machines:
-# [x86] Linux 2.4 (Redhat 7.3)
-#  2:06pm  up 63 days, 18 min,  3 users,  load average: 0.32, 0.08, 0.02
-# [x86] Linux 2.4.18-14 (Redhat 8.0)
-#  3:07pm  up 29 min,  1 user,  load average: 2.44, 2.51, 1.57
-# [PPC - G4] MacOS X 10.1 SERVER Edition
-# 2:11PM  up 3 days, 13:50, 3 users, load averages: 0.01, 0.00, 0.00
-# [powerpc] Darwin v1-58.corefa.com 8.2.0 Darwin Kernel Version 8.2.0
-# 10:35  up 18:06, 4 users, load averages: 0.52 0.47 0.36
-# [Sparc - R220] Sun Solaris (8)
-#  2:13pm  up 22 min(s),  1 user,  load average: 0.02, 0.01, 0.01
-# [x86] Linux 2.4.18-14 (Redhat 8)
-# 11:36pm  up 4 days, 17:58,  1 user,  load average: 0.03, 0.01, 0.00
-# AIX jwdir 2 5 0001DBFA4C00
-#  09:43AM   up  23:27,  1 user,  load average: 0.49, 0.32, 0.23
-# OpenBSD box3 2.9 GENERIC#653 i386
-#  6:08PM  up 4 days, 22:26, 1 user, load averages: 0.13, 0.09, 0.08
-
-# This parses uptime output into the major groups using regex group matching.
-p = pexpect.spawn ('uptime')
-p.expect('up\s+(.*?),\s+([0-9]+) users?,\s+load averages?: ([0-9]+\.[0-9][0-9]),?\s+([0-9]+\.[0-9][0-9]),?\s+([0-9]+\.[0-9][0-9])')
-duration, users, av1, av5, av15 = p.match.groups()
-
-# The duration is a little harder to parse because of all the different
-# styles of uptime. I'm sure there is a way to do this all at once with
-# one single regex, but I bet it would be hard to read and maintain.
-# If anyone wants to send me a version using a single regex I'd be happy to see it.
-days = '0'
-hours = '0'
-mins = '0'
-if 'day' in duration:
-    p.match = re.search('([0-9]+)\s+day',duration)
-    days = str(int(p.match.group(1)))
-if ':' in duration:
-    p.match = re.search('([0-9]+):([0-9]+)',duration)
-    hours = str(int(p.match.group(1)))
-    mins = str(int(p.match.group(2)))
-if 'min' in duration:
-    p.match = re.search('([0-9]+)\s+min',duration)
-    mins = str(int(p.match.group(1)))
-
-# Print the parsed fields in CSV format.
-print 'days, hours, minutes, users, cpu avg 1 min, cpu avg 5 min, cpu avg 15 min'
-print '%s, %s, %s, %s, %s, %s, %s' % (days, hours, mins, users, av1, av5, av15)
-