shihpeng

# Python 2.6+
# After Python 2.6, you can choose to use .format() function or the old %.
>>> '{0}, {1}, {2}'.format('a', 'b', 'c')
'a, b, c'
>>> '{2}, {1}, {0}'.format('a', 'b', 'c')
'c, b, a'
>>> '{2}, {1}, {0}'.format(*'abc')      # unpacking argument sequence
'c, b, a'
>>> '{0}{1}{0}'.format('abra', 'cad')   # arguments' indices can be repeated
'abracadabra'

shihpeng

import javax.net.ssl.*;
import java.io.*;
import java.nio.ByteBuffer;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;
import java.util.zip.Deflater;

/*
 *  This is a simple implementation of the Lumberjack client. 

shihpeng

# flask/config.py

def __repr__(self):
    return '<%s %s>' % (self.__class__.__name__, dict.__repr__(self))

shihpeng

import os
import re
import subprocess


def available_cpu_count():
    """ Number of available virtual or physical CPUs on this system, i.e.
    user/real as output by time(1) when called with an optimally scaling
    userspace-only program"""

shihpeng

#!/bin/bash

# Build Nginx 1.5.7 on Mac OS X Mavericks (10.9)
# This script was created by Kevin Worthington - http://kevinworthington.com/ - 12 December 2013
# Original article at: http://kevinworthington.com/nginx-for-mac-os-x-mavericks-in-2-minutes/

# This useful script is provided for free, but without warranty. Use at your own risk.
# By downloading this script you agree to the terms above.

# create, then go into the build directory

shihpeng

#
# Cluster and Node
# Note: We should always set the cluster name and nodes' name specifically.
#
cluster.name: elasticsearch_prod
node.name: elasticsearch_001
#node.(attribute): (attibute_value)

#
# Index

shihpeng

import math
import scipy.sparse as sparse
import numpy as np

def plsa(n_dw, n_z=2, iter_num=100):
    """
    Fit a PLSA model on given data,
    in which n_dw(d, w) is the number of occurrence of word w
    in document d, d, n_z is the number of topic to be discovered
    :param n_dw:

shihpeng

# In Python 2.6 and earlier, the dict constructor can receive an iterable of key/value pairs:

d = dict((key, value) for (key, value) in iterable)

# From Python 2.7 and 3 onwards, you can just use the dict comprehension syntax directly:

d = {key: value for (key, value) in iterable}

# Of course, you can use the iterable in any way you want (tuples and lists literals, generator comprehensions, list comprehensions, generator functions, functional composition... feel creative) as long as each element is an iterable itself of two elements:

shihpeng

def echoWhatYouGiveMe(x: Any): String = x match {
  
  // constant patterns
  case 0 => "zero"
  case true => "true"
  case "hello" => "you said 'hello'"
  case Nil => "an empty List"
  
  // sequence patterns
  case List(0, _, _) => "a three-element list with 0 as the first element"

shihpeng

-- Reference: http://stackoverflow.com/questions/418898/sqlite-upsert-not-insert-or-replace

-- Approach #1: Select original values before insertion.
-- demo table 'emplyee'
CREATE TABLE employee (
    id INTEGER PRIMARY KEY,
    role TEXT,
    name TEXT);
    
-- This will update 2 of the columns. When ID=1 exists, the NAME will be unaffected. When ID=1 does not exist, the name will be default (NULL).