khangvan

Delete box with backup

• Delete [ame_ClearPackingRecordNUpdateTInformation] PO, box
• Revert amevn_revertdeletedbox PO, box

-- prepare table
select top 10 PONumber, Model, Serial, BoxNumber, PackingDateTime , getdate() ActionDate,'Delete' ActionType, cast('' as varchar(30)) ActionBy
into PackMovementAction

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#Source www.cze.cz
#This script is tested with "Cisco AnyConnect Secure Mobility Client version 3.1.00495"
# Usage: & '.\Cisco_Anyconnect.ps1' [-Server <server name or ip>] [-Group <group>] [-User <user>] [-Password <password>]


#Please change following variables

#IP address or host name of cisco vpn, Username, Group and Password as parameters
param (
  [string]$Server = $( Read-Host "Input server, please" ),

khangvan

/**
 * IE 5.5+, Firefox, Opera, Chrome, Safari XHR object
 * 
 * @param string url
 * @param object callback
 * @param mixed data
 * @param null x
 */
function ajax(url, callback, data, x) {
	try {

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# ipak function: install and load multiple R packages.
# check to see if packages are installed. Install them if they are not, then load them into the R session.

ipak <- function(pkg){
    new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
    if (length(new.pkg)) 
        install.packages(new.pkg, dependencies = TRUE)
    sapply(pkg, require, character.only = TRUE)
}

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# ipak function: install and load multiple R packages.
# check to see if packages are installed. Install them if they are not, then load them into the R session.

ipak <- function(pkg){
    new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])]
    if (length(new.pkg)) 
        install.packages(new.pkg, dependencies = TRUE)
    sapply(pkg, require, character.only = TRUE)
}

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[{"id":"d3a698fb.007c88","type":"inject","z":"fa9050d8.3686","name":"Start","topic":"","payload":"1","payloadType":"num","repeat":"","crontab":"","once":false,"x":130,"y":80,"wires":[["47e40795.d58228"]]},{"id":"47e40795.d58228","type":"function","z":"fa9050d8.3686","name":"LoadCV","func":"var require = global.get('require');\n// try for global install\nvar cv = null\ntry{\n    cv = require.main.require('opencv');\n} catch(e){\n    cv = require('opencv');\n}\nif (cv === null){\n    node.warn('node-opencv not found');\n    return;\n}\n\nvar cvdesc = Object.keys(cv);\nnode.send([null, {payload:cvdesc}]);\nflow.set('cv', cv);\n\nnode.send({payload:1});\nnode.send({payload:'next'});\n","outputs":"2","noerr":0,"x":260,"y":80,"wires":[["46d283a6.ce321c"],[]]},{"id":"46d283a6.ce321c","type":"function","z":"fa9050d8.3686","name":"GetImage","func":"\n\nif (msg.payload === 0){\n    var vid = flow.get('cvvid');\n    if (vid){\n        node.warn(util.inspect(vid));\n        vid.release();\n        flow.set('cvvid', null)

khangvan

library(caret)
library(tm)

# Training data.
data <- c('Cats like to chase mice.', 'Dogs like to eat big bones.')
corpus <- VCorpus(VectorSource(data))

# Create a document term matrix.
tdm <- DocumentTermMatrix(corpus, list(removePunctuation = TRUE, stopwords = TRUE, stemming = TRUE, removeNumbers = TRUE))

khangvan

import * as tf from "@tensorflow/tfjs"
import "@tensorflow/tfjs-node"
import iris from "./iris.json"
import irisTesting from "./iris-testing.json"

// convert/setup our data
const trainingData = tf.tensor2d(iris.map(item => [
  item.sepal_length, item.sepal_width, item.petal_length, item.petal_width,
]))
const outputData = tf.tensor2d(iris.map(item => [

khangvan

Commit, clone a container

To 'clone' a container, you'll have to make an image of that container first, you can do so by "committing" the container. Docker will (by default) pause all processes running in the container during commit to preserve data-consistency.

For example;

docker commit --message="Snapshot of my container" my_container my_container_snapshot:yymmdd

khangvan

Start with code

To do calcaculating weight mean of prvide of array