neale

#!/usr/bin/env bash
trap 'exit' ERR
set -u
DIR="$(pwd)"
LOG="$DIR/times/times.txt"
PROGRAMS=($(find $DIR -maxdepth 1 -type f | grep -v "$(basename $0)"))
mkdir -p $DIR/times
touch $LOG
echo "timing for each random array"
for i in "${PROGRAMS[@]}"; do

neale

#!/usr/bin/env bash
trap 'exit' ERR
set -u
DIR="$(pwd)"
LOG="$DIR/times/times.txt"
PROGRAMS=($(find $DIR -maxdepth 1 -type f | grep -v "$(basename $0)"))
mkdir -p $DIR/times
touch $LOG
read -a ITERATIONS <<< "1 5 10 50 100 500 1000 5000 10000 50000 100000"
echo "timing for each random array"

neale

#!/usr/bin/env node 
function name1(err) {
  var name = '';
  var interation = 0;
    for (var i = 0; i < 9007199254740992; ++i) {
      delete global[name];
      name += 'x';
      global[name] = 42;
      iteration = i;
      //speed up the printing, console.log is a snail

neale

#!/usr/bin/env python
def answer(x, y):
    
    sum_x, sum_y = sum(x), sum(y)
    before = max(x, y)
    after = min(x, y)
    if after == 0: 
        return 100
    return int(round(abs((sum(before) / sum(after) - 1)) * 100))
    

neale

#!/usr/bin/env python
def answer(x):
    len_x = len(x)
    sum_x = sum(x)
    if sum_x % len_x == 0:
        return len_x
    else:
        return len_x - 1

neale

#!/usr/bin/env python
def changeslow(coins, amounts, highest, sum_coins, goal, store):
    if sum_coins == goal:
        store == show(coins, amounts, store)
        return

    if sum_coins > goal:
        return

    for value in amounts:

neale

```
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neale

def rolling_apply_slow(a, w):
    print len(a)
    """applys a function to a window slowly b/c python loops != c loops"""
    r = np.empty(a.shape)
    r.fill(np.nan)
    for i in range(w-1, a.shape[0]):
        r[i] = max(a[(i-w+1):i+1])
    print len(r)
    return r

neale

for i in range(3):
    with open('./txt-file-'+str(i)+'.txt', 'wb+') as f:
        for x in {f.write, __import__('__builtin__').__dict__['print']}:
            x(str([__import__('random').__dict__['choice'](map(chr,range(97, 123))) for n in range(10)]))
print __import__('random').__dict__['randint'](1, 43) * __import__('random').__dict__['randint'](1, 43)

neale

#!/usr/bin/env python

import subprocess

chapters = [
  'intro',
  'linear_algebra',
  'prob',
  'numerical',
  'ml',