kokumura

public class Throttle {
	protected final int maxHistorySize = 10;
	protected final double timeEpsilon = 1d/(1000 * 1000);
	
	protected double maxThrottlePerSec = 1d;
	
	protected LinkedList<Double> history = new LinkedList<>(); 
	
	public Throttle(double maxThrottle){
		this.maxThrottlePerSec = maxThrottle;

kokumura

# coding:utf-8
"""
usage: python adder-with-sed.py <max_num_digits> <max_num_terms>
   $ echo '55+77-250+442' | sed -E -f <(python adder-with-sed.py 5 5)
     => 324
"""
from collections import defaultdict

def sed_adjust_digits(digits):
    """

kokumura

# add following line to end of your ~/.zshrc file and type "hoge" on command line
command_not_found_handler(){echo 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

kokumura

escape ^Tx

bind n eval 'next'
bind p eval 'prev'

defscrollback 10000
# enable 256 color
termcapinfo xterm 'Co#256:AB=\E[48;5;%dm:AF=\E[38;5;%dm'

# don't resize terminal width when re-attached.

kokumura

import requests
import time
import json

class AzureReco:
    BASE_URL = 'https://westus.api.cognitive.microsoft.com/recommendations/v4.0'

    def __init__(self, subscription_key):
        self._subscription_key = subscription_key

kokumura

%matplotlib inline
import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = (10, 6)
import pandas as pd
import numpy as np

kokumura

#include <stdlib.h>
#include <unistd.h>

void main(){
  while(malloc(100*1024*1024));
  while(1)sleep(60);
}

kokumura

#!/usr/bin/env python
import subprocess, pty, os, sys

def _safe_read(m):
    try:
        return os.fdopen(m,"r").read()
    except IOError:
        return ''

sout_m, sout_s = pty.openpty()

kokumura

#!/usr/bin/env python
# -*- coding:utf-8 -*-
import sqlite3
import numpy as np

class Median:
    def __init__(self):
        self.values = []
    def step(self, value):
        self.values.append(value)

kokumura

# -*- coding: utf-8 -*-
import scipy.sparse as sps
import numpy as np
from StringIO import StringIO

def _np_savez(compressed=False, *args, **kwds):
    sio = StringIO()
    if compressed:
        np.savez_compressed(sio, *args, **kwds)
    else: