AlexV525

Moved to https://github.com/AlexV525/dartpad_workshops/tree/main/implement_lazy_indexed_stack permanentely.

gbrow004

Update!

This gist is out of date and I can no longer help much, as I got rid of my Mac.

Please visit T2 Linux website for more and better information:

https://t2linux.org/

Acknowledgements

This gist is just a compilation of the hard work that others have put in. I'm not a software developer, so if there are any mistakes or better ways of doing things, I'd appreciate any suggestions. Here's a list of the real heroes who made this possible:

mkiisoft

import 'package:flutter/material.dart';

class FancyButton extends StatefulWidget {
  const FancyButton({
    Key key,
    @required this.child,
    @required this.size,
    @required this.color,
    this.duration = const Duration(milliseconds: 160),
    this.onPressed,

anish-adm

import 'package:flutter/material.dart';
import 'package:meta/meta.dart';

class CustomCheckBox extends StatefulWidget {
  const CustomCheckBox(this.icon,this.label,
      {Key key,
        @required this.onSelect,
        this.selectedBackgroundColor,
        this.notSelectedBackgroundColor,
        this.selectedTextColor,

thielemans

#Downconvert 7.1 DTS-HD to DTS 5.1:
ffmpeg -i in.mkv -strict -2 -map 0:a:0 -c dts -af "channelmap=channel_layout=5.1" dts.mkv

#Downconvert 7.1 DTS-HD to AC3 5.1:
ffmpeg -i in.mkv -map 0:a:0 -c ac3 -ac 6 -ab 640k ac3.mkv

#Add downconverted audio streams via ffmpeg:
ffmpeg -i in.mkv -i dts.mkv -i ac3.mkv -map 0:v -c:v copy -map 0:a -c:a copy -map 1:a -c:a copy -map 2:a -c:a copy -map 0:s -c:s copy out.mkv
#Or use MKVToolNix

antoniopioricciardi

Tensorflow GPU 1.8 with MacOS 10.13.6

A guide to install and make work an already compiled version of Tensorflow 1.8 - GPU on MacOS 10.13.6.

PREREQUISITE: Having an Nvidia GPU or EGPU (already working)

These are the required steps:

(note: follow the guide at your own risk.
note2: Big part of this guide is taken from this other guide):

roadrunner2

Introduction

This is about documenting getting Linux running on the late 2016 and mid 2017 MPB's; the focus is mostly on the MacBookPro13,3 and MacBookPro14,3 (15inch models), but I try to make it relevant and provide information for MacBookPro13,1, MacBookPro13,2, MacBookPro14,1, and MacBookPro14,2 (13inch models) too. I'm currently using Fedora 27, but most the things should be valid for other recent distros even if the details differ. The kernel version is 4.14.x (after latest update).

The state of linux on the MBP (with particular focus on MacBookPro13,2) is also being tracked on https://github.com/Dunedan/mbp-2016-linux . And for Ubuntu users there are a couple tutorials (here and here) focused on that distro and the MacBook.

Note: For those who have followed these instructions ealier, and in particular for those who have had problems with the custom DSDT, modifying the DSDT is not necessary anymore - se

taylorpaul

Environment:

Tensorflow: v0.11.0rc2 OS: CENTOS 6.8 (No root access)

Description:

1. The tensorboardSLURM.sh can be run with the following command to start a tensorboard server on a SLURM cluster:

sbatch --array=0-0 tensorboardSLURM.sh 

rponte

package br.com.triadworks.rponte.util;

import java.text.Normalizer;

public class StringUtils {

	/**
	 * Remove toda a acentuação da string substituindo por caracteres simples sem acento.
	 */
	public static String unaccent(String src) {