WLCのリセット
(Cisco Contorller) > clear config
Are you shure want to clear the configuration? (y/n) y
(Cisco Controller) > reset system
The system has unsaved changes.
Would you like to save them now? (y/N)N
Configuration Not Saved!
<body> | |
<button onclick="copyText()">Copy text</button> | |
<div id="hoge">hoge</div> | |
<script> | |
function copyText(){ | |
var ta = document.createElement("textarea") | |
ta.value = document.getElementById("hoge").innerText; | |
document.body.appendChild(ta) | |
ta.select() |
000010****************************************************************** | |
000020* | |
000030** システム名:COBOL紹介プログラム | |
000040* | |
000050** 機能概要 :入力された数値が50以上であれば50を引いた数値を | |
000060* そうでなければそのまま数値を標準出力する | |
000070** 作成者 :shuya | |
000080** 作成日 :2018 12/06 | |
000090** 変更履歴:初版作成 | |
000100* |
[ | |
{ | |
"北海道":"hokkaido" | |
}, | |
{ | |
"青森県":"aomori" | |
}, | |
{ | |
"岩手県":"iwate" | |
}, |
[ | |
{ | |
"hokkaido": "北海道" | |
}, | |
{ | |
"aomori": "青森県" | |
}, | |
{ | |
"iwate": "岩手県" | |
}, |
#!/bin/bash | |
# UNINSTALLS Open-EID SOFTWARE | |
function remove_all { | |
for user in $(dscl . list /Users |grep -v -e '^_.*' -e Guest -e root -e daemon -e nobody); do | |
sudo -u "${user}" /Library/PreferencePanes/id-updater.prefPane/Contents/Resources/id-updater-helper -remove | |
done | |
sudo rm -rf /Library/PreferencePanes/id-updater.prefPane |
/* 改行を削除して使ってね */ | |
javascript: | |
/*会議名*/ | |
document.getElementsByName("txtShowString")[0].value = "Kumo"; | |
/*団体名*/ | |
document.getElementsByName("txtLoginID")[0].value = "村井純研究室"; | |
/*教員名*/ | |
document.getElementsByName("txtTeacherName")[0].value = ""; | |
/*人数*/ | |
document.getElementsByName("txtNumberOfPeople")[0].value = "20"; |
WLCのリセット
(Cisco Contorller) > clear config
Are you shure want to clear the configuration? (y/n) y
(Cisco Controller) > reset system
The system has unsaved changes.
Would you like to save them now? (y/N)N
Configuration Not Saved!
import tensorflow as tf | |
from tensorflow.examples.tutorials.mnist import input_data | |
mnist= input_data.read_data_sets('MNIST_data',one_hot=True) | |
X = tf.placeholder(tf.float32, shape=[None, 784]) | |
Y = tf.placeholder(tf.float32, shape=[None, 10]) | |
W = tf.Variable(tf.zeros([784, 10])) | |
b = tf.Variable(tf.zeros([10])) |
I hereby claim:
To claim this, I am signing this object: