cwhy

#include<stdio.h>
void main(){
  return 0;
}

cwhy

rm(list = ls())
# Set SPSS-like contrast
options(contrasts=c(unordered="contr.sum", ordered="contr.poly"))

# plug-in operators
`%+%` <- function(a, b) paste(a, b, sep="")
`%beginwith%` <- function(s.main, s.sub){
  bl <- nchar(s.sub)
  return(substr(s.main,1,bl)==s.sub)
}

cwhy

#!/usr/bin/python
# SuperDualNumBros v0.9 by CWhy@guokr
# Python3
from math import ceil, sqrt


Min, Max = 2, 99

def getSameSum(nums):
    x, y = nums

cwhy

% Use case:
% we have test function m = f(x, y, z), where we vary x, y, and z to get different ms
% we want the result M where M(x, y, z) = f(x, y, z)
% but vectorized with one for loop
 
% Example: xs = 1:2
%           ys = 3:5
%           zs = 6:9
[X,Y,Z] = meshgrid(xs, ys, zs);
test_instances = [X(:) Y(:) Z(:)];

cwhy

close all;
f = figure('Name', 'Visualization','Color', [1 1 1]);

set(f, 'menubar', 'none');

ax = axes();
hold(ax,'on')
set(ax, 'Unit', 'normalized');
set(ax, 'Position', [0.07 0.05 0.9 0.9])

cwhy

import numpy as np
import numpy.random as rd
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt


def get_shells(center, radius, N):
    # from http://stats.stackexchange.com/questions/7977
    r = radius

cwhy

import os
import glob
import errno
import pandas as pd
import subprocess as sp

si = sp.STARTUPINFO()
si.dwFlags |= sp.STARTF_USESHOWWINDOW

cwhy

<a href="javascript:{_l=window.location;window.location='http://'+_l.hostname+'.ezlibproxy1.ntu.edu.sg/'+_l.pathname;};">NTU Libraries Proxy Bookmarklet</a>

cwhy

# It is not very pythonic but I don't like a lot of [[[['''']]]]'''' symbols
class Fake_dict:
  def __iter__(self):
    for attr in dir(Fake_dict):
      if not attr.startswith("__"):
        yield attr

cwhy

(defn argmax [l] (key (apply max-key val (into {} (map-indexed vector l)))))