nishidy

#include <stdio.h> //printf(), fprintf(), perror()
#include <sys/socket.h> //socket(), connect(), recv()
#include <arpa/inet.h> // struct sockaddr_in, struct sockaddr, inet_ntoa(), inet_aton()
#include <stdlib.h> //atoi(), exit(), EXIT_FAILURE, EXIT_SUCCESS
#include <string.h> //memset()
#include <unistd.h> //close(), sleep()
#include <linux/tcp.h> //TCP_DEFER_ACCEPT

#define MSGSIZE 32
#define MAX_MSGSIZE 1024

nishidy

#include <stdio.h> //printf(), fprintf(), perror()
#include <sys/socket.h> //socket(), connect(), recv()
#include <arpa/inet.h> // struct sockaddr_in, struct sockaddr, inet_ntoa(), inet_aton()
#include <stdlib.h> //atoi(), exit(), EXIT_FAILURE, EXIT_SUCCESS
#include <string.h> //memset()
#include <unistd.h> //close()
#include <linux/tcp.h> //TCP_DEFER_ACCEPT
#include <time.h> //

#define MSGSIZE 32

nishidy

vmstat

$ vmstat -n 2 | perl -e 'while(<>){print localtime().": $_"}'
Fri Dec 30 15:34:51 2016: procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu----
Fri Dec 30 15:34:51 2016:  r  b   swpd   free   buff  cache   si   so    bi    bo   in   cs us sy id wa
Fri Dec 30 15:34:51 2016:  2  0  57216  94916  93012 135552    4   22   601    39  216  593  2  2 94  2
Fri Dec 30 15:34:53 2016:  0  0  57216  94296  93012 135552    0    0     0     0  201  737  1  1 98  0
Fri Dec 30 15:34:55 2016:  0  0  57216  94296  93012 135552    0    0     0     0  176  707  1  1 98  0
Fri Dec 30 15:34:57 2016:  0  0  57216  94296  93012 135552    0    0     0     0  174  656  1  1 98  0

nishidy

#!/bin/bash

if [ -z "$*" ]; then
    echo "cs [OPTIONS] DIR"
    echo "   ORDER BY OPTIONS:"
    echo "   -f : file count"
    echo "   -s : file size"
    echo "   -m : file modification time"
    echo "   -j : total size of files just under a directory"
    echo "   -a : total size of files all under a directory"

nishidy

from tensorflow.examples.tutorials.mnist import input_data
# one_hot is for multiclass classification
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
import tensorflow as tf

# Input
# 784 = 28 x 28
# Mini batch size is not fixed here
x = tf.placeholder(tf.float32, [None,784])

nishidy

import os
import time
from amazon.api import AmazonAPI

AMAZON_ACCESS_KEY = os.environ['AWSAccessKeyId']
AMAZON_SECRET_KEY = os.environ['AWSSecretKey']
AMAZON_ASSOC_TAG  = os.environ['AWSAssocId']

print(AMAZON_ACCESS_KEY[-5:])
print(AMAZON_SECRET_KEY[-5:])

nishidy

from random import random
import time
import sys

def findCommon_NNN(A,B,C):

    if 1000<len(A) or 1000<len(B) or 1000<len(C):
        print("# This may be huge input for this function with O(N^3). Exit.")
        return []

nishidy

#include <iostream>
#include <sstream>
#include <algorithm>
#include <vector>
#include <map>
#include <math.h>
//#include <list> # lower_bound does not work

#include <openssl/sha.h>
#include <assert.h>

nishidy

class Sorter:
    def __init__(self,data):
        self.data = data

    def do_msort(self):
        print("Original data",self.data)
        self.run_msort(0,len(self.data)-1)
        print("Sorted data  ",self.data)

    def run_msort(self,i,j):

nishidy

class LCD:
    def __init__(self,s1,s2):
        self.s1 = s1
        self.s2 = s2
        print(s1,s2)

    def solve(self):
        a = [ [ 0 for y in range(len(self.s2)+1) ] for x in range(len(self.s1)+1) ]
        for x in range(len(self.s1)):
            for y in range(len(self.s2)):