Ralph Zeller wrote:
> KBob's script works fine in python2.2, but how do you make work with
> regard to inheritance using python1.5.2 ?
Inheriting from built-in types is new with Python 2.2. In
1.5.2, you'd have to go back to the way I did it first.
class StatSample:
def __init__(self):
self.__data = []
def __len__(self):
return len(self.__data)
def __getitem__(self, index):
return self.__data[index]
def __setitem__(self, index):
return self.__data[index]
def append(self, datum):
return self.__data.append(datum)
And change "a += b" to "a = a + b", and change the comprehension to a
map().
I've attached a version of the script that works in Python 1.5.2.
--
Bob Miller K<bob>
kbobsoft software consulting
http://kbobsoft.com [EMAIL PROTECTED]
#!/usr/local/bin/python
import fileinput
import math
import re
def time_format(interval):
hr, min, sec = int(interval / 3600), interval / 60 % 60, interval % 60
if hr:
return "%d:%02d:%02d" % (hr, min, sec)
else:
return "%d:%02d" % (min, sec)
class StatSample:
"List of numbers that can calculate simple statistics."
def __init__(self):
self.__data = []
def __len__(self):
return len(self.__data)
def __getitem__(self, index):
return self.__data[index]
def __setitem__(self, index):
return self.__data[index]
def append(self, datum):
return self.__data.append(datum)
def minimum(self):
min = None
for d in self:
if min is None or min > d:
min = d
return min
def maximum(self):
max = None
for d in self:
if max is None or max < d:
max = d
return max
def mean(self):
if len(self) == 0: raise
sum = 0
for d in self:
sum = sum + d
return sum / len(self)
def variance(self):
if len(self) == 0:
return 0
sum, sum2 = 0L, 0L
for d in self:
sum = sum + d
sum2 = sum2 + d * d
return (sum2 - (sum * sum) / len(self)) / (len(self) - 1)
def std_deviation(self):
return math.sqrt(self.variance())
# Read the file.
ftimes = StatSample()
o, t = None, None
for line in fileinput.input():
timestamp = re.match(r'\[(\d+)\:(\d+)\:(\d+)\]', line)
if timestamp:
# hr, min, sec = [int(n) for n in timestamp.groups()]
hr, min, sec = map(int, timestamp.groups())
o, t = t, (hr * 60 + min) * 60 + sec
if re.search('Finished a frame', line) and o is not None:
ftimes.append((t - o + 86400) % 86400)
# Calculate and print statistics.
print len(ftimes), "frames"
print "fastest:", time_format(ftimes.minimum()),
print " slowest:", time_format(ftimes.maximum())
print "mean:", time_format(ftimes.mean())
print "standard deviation:", time_format(ftimes.std_deviation())
