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from random import choice | |
candidates = ('Chipotle', 'Panda Express', 'Burger King', 'Gentle Ben\'s', 'Miss Saigon') | |
print choice(candidates) |
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from numpy import inv, transpose | |
def pseudoinverse(U): | |
return inv(transpose(U) * U) * transpose(U) |
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#include <iostream> | |
#include <list> | |
using namespace std; | |
template <class T> | |
list<T> filter(bool (*f)(T x), list<T>* l) { | |
list<T> result; | |
typename list<T>::iterator it = l->begin(); | |
while(it != l->end()) { |
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#include <iostream> | |
#include <iterator> | |
#include <list> | |
using namespace std; | |
list<int> map(int (*f)(int x), list<int>* l) { | |
list<int> result; | |
list<int>::iterator it = l->begin(); | |
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unsorted_list = [5, 8, 1, 2, 4, 9, 7, 6, 3] | |
sorted_list1 = [2, 3, 5, 7, 11, 13, 17, 19] | |
sorted_list2 = [2, 4, 8, 10, 12, 14, 16, 18] | |
def min(list) | |
# Google for 'ruby ternary operator' | |
return list.reduce { |x, y| x < y ? x : y } | |
end | |
def max(list) |
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import java.util.Arrays; | |
import java.util.List; | |
/** | |
* This is a basic Java programming exercise. Fill out all unimplemented class | |
* methods. | |
* | |
* @author Sumin Byeon <suminb@gmail.com> | |
* | |
*/ |
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#!/usr/bin/env python | |
import re | |
import sys | |
content = sys.stdin.read() | |
for p in re.findall(r"(\d+.\d+.\d+.\d+)\s+(\d+)", content): | |
print "http://%s:%s" % p |
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@Override | |
protected void onResume() { | |
super.onResume(); | |
Uri alert = RingtoneManager.getDefaultUri(RingtoneManager.TYPE_NOTIFICATION); | |
MediaPlayer mp = MediaPlayer.create(this, alert); | |
mp.start(); | |
} |
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# | |
# Example from: http://warnercnr.colostate.edu/~gwhite/fw663/BinomialLikelihood.PDF | |
# | |
from math import factorial | |
# Number of flips | |
n = 11 | |
# Number of heads |
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## fitpoly_incomplete.Py | |
# Partial script to help get started in ISTA 421/521 Homework 2 | |
#import sys | |
#sys.path.reverse() | |
import numpy as np | |
import matplotlib.pyplot as plt | |
#from scipy.optimize import minimize | |
from scipy.optimize import minimize_scalar |