./ml.sh -b master python3 test.py
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| var a = document.querySelectorAll('.msg-selectable-entity');for (var i=0;i<=a.length;i++){a[i].click();}; | |
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| sudo apt-get update | |
| sudo apt-get install -y apt-transport-https ca-certificates curl gnupg-agent software-properties-common | |
| sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - | |
| sudo apt-key fingerprint 0EBFCD88 | |
| sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | |
| sudo apt-get update | |
| sudo apt-get install -y docker-ce docker-ce-cli containerd.io | |
| sudo usermod -a -G docker $USER | |
| curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash | |
| az login --identity |
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| resource "azurerm_storage_account" "funcsta" { | |
| name = "${local.storage_account_name}" | |
| resource_group_name = "${var.resource_group_name}" | |
| location = "${var.location}" | |
| account_tier = "Standard" | |
| account_replication_type = "${var.account_replication_type}" | |
| enable_blob_encryption = "true" | |
| enable_file_encryption = "true" | |
| tags = "${merge(var.tags, map("environment", var.environment), map("release", var.release))}" |
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| #Main function | |
| Function GetWin8Key | |
| { | |
| $Hklm = 2147483650 | |
| $Target = $env:COMPUTERNAME | |
| $regPath = "Software\Microsoft\Windows NT\CurrentVersion" | |
| $DigitalID = "DigitalProductId" | |
| $wmi = [WMIClass]"\\$Target\root\default:stdRegProv" | |
| #Get registry value | |
| $Object = $wmi.GetBinaryValue($hklm,$regPath,$DigitalID) |
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| createFakeCard(prefix, length) { | |
| var ccnumber = prefix; | |
| // generate digits | |
| while (ccnumber.length < length - 1) { | |
| ccnumber += Math.floor(Math.random() * 10); | |
| } | |
| // reverse number and convert to int |
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| . | |
| ├── src | |
| │ ├── api | |
| │ ├── reducers | |
| │ ├── assets (global static) | |
| │ │ ├── fonts | |
| │ │ ├── images | |
| │ ├── components | |
| │ │ ├── views | |
| │ │ ├── containers |
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| import cv2 | |
| import numpy as np | |
| predictions = make_animation(source_image, driving_video, generator, kp_detector, relative=True) | |
| img_array = [] | |
| h,w = predictions[0].shape[:2] | |
| out = cv2.VideoWriter('/content/gdrive/My Drive/first-order-motion-model/project.avi',cv2.VideoWriter_fourcc(*'DIVX'), 30, (w,h)) |
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| import React from 'react'; | |
| import { Text, View } from 'react-native'; | |
| const Button = ({ btnName }) => { | |
| const { | |
| containerStyle, | |
| textStyle | |
| } = styles; | |
| return ( |
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| import {Platform, StyleSheet} from 'react-native'; | |
| const styles = StyleSheet.create({ | |
| container: { | |
| flex: 1, | |
| ...Platform.select({ | |
| ios: { | |
| backgroundColor: 'red', | |
| }, | |
| android: { |