jdswinbank

class Bla(object):
    def __init__(self, a): 
        self.a = a 

class Bleh(object):
    def __init__(self, bla):
        self.bla = bla 

    def __getattr__(self, name):
        return getattr(self.bla, name)

jdswinbank

class Observation(models.Model):
  invalid = models.BooleanField(default=False)

class Beam(models.Model):
  observation = models.ForeignKey(Observation)
  field = models.ForeignKey(Field)
  
class Field(models.Model):
  pass

jdswinbank

def factory_function():
    default_par = "something"
    default_foo = "something else"
    def returned_function(x, par=default_par, foo=default_foo):
        print "x is " + str(x)
        print "par is " + str(par)
        print "foo is " + str(foo)
    return returned_function

fn = factory_function()

jdswinbank

from pyrap.measures import measures
import os
import sys
from io import BytesIO
from tempfile import SpooledTemporaryFile
from contextlib import contextmanager

@contextmanager
def redirect_stream(stream, destination):
    old_stream = os.dup(stream.fileno())

jdswinbank

import abc

class DataAccessor(object):
    __metaclass__ = abc.ABCMeta

    @abc.abstractproperty
    def wcs(self):
        pass

    @abc.abstractproperty

jdswinbank

def function1(*args, **kwargs):
    print "in function 1: ", args, kwargs
    function2(*args, **kwargs)

def function2(*args, **kwargs):
    print "in function 2: ", args, kwargs
    print "local variables are:", locals()
    function3(locals())

def function3(*args, **kwargs):

jdswinbank

class MyClass(object):
    def method1(self):
        print "super m1"

    def method2(self):
        print "super m2"

    def method3(self):
        print "super m3"
        self.method1()

jdswinbank

class MyClass(object):
    def method1(self):
        print "super m1"

class OtherSuperclass(object):
    def method1(self):
        print "other m1"

class MySub(MyClass, OtherSuperclass):
    pass

jdswinbank

#include <iostream>

int& get_reference(int& a) {
  return a;
}

int get_value(int x) {
  return x;
}

jdswinbank

import numpy
from matplotlib import pyplot

with open('1sub-noepoll-notmpfs.log', 'r') as f:
    noepoll_notmpfs = numpy.array([float(x) for x in f.readlines()])

with open('1sub-epoll-notmpfs.log', 'r') as f:
    epoll_notmpfs = numpy.array([float(x) for x in f.readlines()])

with open('1sub-epoll-tmpfs.log', 'r') as f: