enakai00

// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file. See the AUTHORS file for names of contributors.

#include <deque>
#include <set>
#include <dirent.h>
#include <errno.h>
#include <fcntl.h>
#include <pthread.h>

enakai00

--- ./configure.ac.orig	2013-12-01 12:29:50.000000000 +0900
+++ ./configure.ac	2013-12-01 12:41:57.000000000 +0900
@@ -32,6 +32,15 @@
 	     []
 	    )
 
+AC_CHECK_LIB( [gfapi], [glfs_new],
+	     [
+	      GFAPI_LIBS="-lgfapi"
+	      AC_SUBST([GFAPI_LIBS])

enakai00

#!/usr/bin/perl
#
#	cdconv - Command line CD ripper and ogg-vorbis encoder
#
#	2008/09/27	ver1.1
#

use strict;
use CDDB_get qw( get_cddb get_discids );

enakai00

#!/bin/sh -xe

. /reoot/keystonerc_admin
export  MYSQL_ROOT_PASSWORD=$(grep CONFIG_MYSQL_PW /root/quickrdo/controller.txt | cut -f2 -d=)
export HEAT_DB_PASSWORD_OF_CHOICE=pas4heat

yum -y install "openstack-heat-*" python-heatclient
heat-db-setup rpm -y -r ${MYSQL_ROOT_PASSWORD} -p ${HEAT_DB_PASSWORD_OF_CHOICE}
sed -i "s/%ENCRYPTION_KEY%/`hexdump -n 16 -v -e '/1 "%02x"' /dev/random`/" /etc/heat/heat-engine.conf

enakai00

#!/usr/bin/perl 
#
#   podgetter.pl
#
#   Podcast downloader exclusively for BBC Radio
#   
#   2014/04/11 v1.0
#   2014/06/10 v1.1
#

enakai00

#!/bin/bash -x

LANG=C
basepass="XXXXXXXX"
reposerver="xxx.xxx.xxx.xxx"

function prep_network {
    set -x
    yum -y update
    yum -y groupinstall "Gnome Desktop"

enakai00

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pandas import Series, DataFrame
import pandas.io.data as web

from numpy.random import randint, randn, rand, multivariate_normal

def run_perceptron(axes):
    n1 = randint(40,80)

enakai00

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pandas import Series, DataFrame
from numpy.random import randint, randn, rand

Size = 50 
J = 1
H = 0.0
Temp = 0

enakai00

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pandas import Series, DataFrame

from numpy.random import randint, randn, rand, multivariate_normal

def run_perceptron(ax):
    n1 = 60
    n2 = 40

enakai00

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pandas import Series, DataFrame
from numpy.random import randint, randn, rand, multivariate_normal

K = 3    # Number of classes (2 or 3)
N = 50   # Number of training data
HR = 200 # Heatmap resolution