ricleal

from pymongo import MongoClient

import logging
logger = logging.getLogger(__name__)
from config.config import configParser 

class Database(object):
    '''
    Generic class to access MongoDB.
    

ricleal

/**
 * RVO: Return value optimization and NRVO: Named return value optimization
 *
 * Trying to get the last line of this to work...
 *
 * Still creates a new object when I assign m14 = fChangeClassRetRef(m14); :(
 *
 * I guess this is a problem with the compiler itself.
 *
 */

ricleal

import numpy as np

res = 66

def eq(x):
  return x[0] + 13 * x[1] / x[2] + x[3] + 12 * x[4] - x[5] - 11 + x[6] * x[7] / x[8] - 10 

# Brute force!
it = 0
while True:

ricleal

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

import urllib2
import json
from pprint import pprint
import sys
import re

ricleal

From the command line create an executable that according to a prototol:

• http
• https
• ftp

Returns a partially built URL: scheme://domain:port

$ ./executable ftp
ftp://ornl.gov:20

ricleal

from datetime import datetime
from pymongo.connection import Connection

import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web

from tornado.options import define, options

ricleal

Keybase proof

I hereby claim:

• I am ricleal on github.
• I am ricleal (https://keybase.io/ricleal) on keybase.
• I have a public key whose fingerprint is C09D 6F9F 106D 24E3 F6E5 6146 D02C 956B 145F 841D

To claim this, I am signing this object:

ricleal

#coding: utf-8
from django.conf.urls import url

from .views import PostListView, DummyView

urlpatterns = [
    url(r'^$', PostListView.as_view(), name='list'),
    url(r'^dummy/$', DummyView.as_view(), name='dummy'),
]

ricleal

Linux sockets and system d

Define a socket unit

The key point here is to specify Accept=yes, which will make the socket accept connections (behaving like inetd) and pass only the resulting connection socket to the service handler.

Create /etc/systemd/system/baz.socket:

[Unit]

ricleal

import matplotlib.pyplot as plt
import numpy as np

# binnned values
qx = np.linspace(0.001, 0.9, 193)
qy = np.linspace(0.001, 0.7, 257)

dqx = np.sqrt(qx)
dqy = np.sqrt(qy)