kosho

require 'rails/all'
require 'base64'
require 'pp'

cookie = ARGV[0]

pp Marshal.load(Base64.decode64(cookie.split('--').first))
print pp.inspect

kosho

# Delete all Picasa albums created by the user
# Note: Autogenerated albums such as Auto Backup and Instant Upload can not be deleted

# Your Google Account to manage
GOOGLE_ACCOUNT=<REPLACE_WITH_YOURS>

# Your Gooel Developer API Credentials
# Go to https://console.developers.google.com to register your project
CLIENT_ID=<REPLACE_WITH_YOURS>
CLIENT_SECRET=<REPLACE_WITH_YOURS>

kosho

SRC = 
OPTS = --latex-engine=lualatex -t beamer -V fontsize:10pt -V colortheme:beaver -H h-luatexja.tex

all: $(SRC:.md=.pdf)

$(SRC:.md=.pdf): $(SRC)
        iconv -f UTF-8-MAC -t UTF-8 $(@:.pdf=.md) | pandoc -o $@ $(OPTS)
        open $@

clean:

kosho

Set of Emacs init.el Configurations

• auto-complete-blackets.el: Auto complete corresponding blackets
• use-source-han-code-jp.el: Use Source Han Code JP font

kosho

# Apache httpd
- input_type: log
  paths:
    - /var/log/httpd/access_log.js
  document_type: apache
  json.keys_under_root: true
  json.add_error_key: true

# Squid
- input_type: log

kosho

flag="0"
while read x
do
  if [[ $x == "-----"* ]]; then
    if [ $flag == "0" ]
      then flag="1"
      else flag="0"
    fi
  else
    if [ $flag == "0" ]

kosho

# -*- coding: utf-8 -*-
import sys
import codecs
import csv
import json

# Modify the `fieldnames` with the column names of the CSV input
fieldnames = tuple(range(200))

csvfile = open(sys.argv[1], 'rU')

kosho

tail -n +2 %1 | awk 'BEGIN{FS = ","}{print "{\"index\": { }}\n{ \"@timestamp\" : \""$1"\", \"field2\": \""$2"\", \"field3\":" $3 "}" }' > %2

kosho

T="T"
for d in `seq -f "%02g" 1 30`; do
  for m in `seq -f "%02g" 0 23`; do
    for h in `seq -f "%02g" 0 59`; do
      echo "{\"index\" : {} }"
      echo "{\"@timestamp\": \"2016-04-$d$T$m:$h:00Z\", \"status\": 100}"
    done
  done
done

kosho

# -*- coding: utf-8 -*-
import sys
import codecs
import csv
import json

csvfile = open(sys.argv[1], 'rU')
header_reader = csv.reader(csvfile)
header = next(header_reader)
reader = csv.DictReader(csvfile, header)