jul

#!/usr/bin/env python
me = "freaky"
print "before I was %s" % me
from re import compile as cum
twist = lambda x : str(x).encode("rot-13")
D = 8
print "I was always thinking of s%sx"  % chr(int( "".join(reduce( lambda x : x+y , cum("(.)(.)").findall("69") )))) 
print "coding transformed me the following way"
print "I became %s" % (8==D and  twist(cum( "(.)(.).(y)").sub(  twist("x") + 'v' + twist(chr(69)) + chr(69), me)))

jul

!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
mixed query on stat file
"""
from os import environ, path
from json import load

import datetime as dt

jul

#!/usr/bin/env python
# -*- coding: utf-8 -*-

# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.


"""

Twisted original example of an irc bot.

jul

from yahi.fixed_size_dict import *
from time import time
sample=1000000
def time_for(size, constructor):
    if constructor==dict:
        a=dict()
    else:
        a=constructor(size)
    print "size %d" % size
    print "fact %s" % repr(constructor.__name__)

jul

from pylab import *
_value=[ 26.190, 26.964, 27.504, 27.692, 29.121,  30.657, 79.694]
_title=['dict +nc','dict' , 'repoze', 'fixed', 'repoze - mono', 'beaker', 'nocache' ]
figure(1)
lim=7
pos = arange(len(_value[:lim]))+.5
xticks(pos,_title[:lim])
ylabel("execution time (seconds)")
title("Impact of different caches on parsing 193114 lines with yahi")
rect=bar(pos,_value[:lim],align='center',width=.8)

jul

from repoze.lru import LRUCache, _MARKER
from repoze.lru import ExpiringLRUCache,lru_cache,_DEFAULT_TIMEOUT
"""A (decorator) cache maker for lru.repoze so you can clear 
your cache if needed"""


class CacheMaker():
    def __init__(self,default={}):
        self._maxsize=default.get("maxsize",_MARKER)
        self._time_out=default.get("time_out",_DEFAULT_TIMEOUT)

jul

from scikits.audiolab import Sndfile
import numpy as np
import pylab as plt
from numpy import fft

koln=Sndfile("test.wav")
sample=koln.read_frames(18300000)
plt.specgram(sample[:,1])
plt.show()

jul

from scikits.audiolab import Sndfile
import numpy as np
import pylab as plt
import csv
import matplotlib.mlab as mlab
from math import floor, log
#NFFT windows make calculus faster if a power of 2 
closest_2_power=lambda x : 1<<int(floor(log(x,2)))

def load_freq(fn="freq.csv"):

jul

#!/usr/bin/perl
sub a_p_p {
    ($x,$n)=@_;
    return ($x>>$n)%2 && a_p_p($x^(1<<$n),a_p_p($n)) || $x|($x^(1<<$n))
}
a_p_p($A)

jul

q = 0 or """ #=;$A=41;sub A { ~-$A+2};  A() && q' """
A=lambda A: -~A  #';
print A(41) # python + perl = <3