After long searching I did not find a good description of how to set up Syncthing that works exclusively via CLI without using a Web browser on the devices.
This is useful for example on a headless Raspberry Pi without proxying web-traffic through SSH or with port-forwarding limitations. In this example we will want to share the default folder from Machine A with Machine B
| Machine A | Machine B |
|---|
This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software
on an Ubuntu Linux system, in particular Ubuntu 20.04.
0x8545: Original 84 -> 850x08FF19: Original 75 -> EB0x1932C7: Original 75 -> 74 (remove UNREGISTERED in title bar, so no need to use a license)
I believe the article was originally written by fede.tft.
It appears they have copied source code to github and updated it for C++11: https://github.com/fedetft/serial-port
The serial port protocol is one of the most long lived protocols currently in use. According to wikipedia, it has been standadized in 1969. First, a note: here we're talking about the RS232 serial protocol. This note is necessary because there are many other serial protocols, like SPI, I2C, CAN, and even USB and SATA.
Some time ago, when the Internet connections were done using a 56k modem, the serial port was the most common way of connecting a modem to a computer. Now that we have ADSL modems, the serial ports have disappeared from newer computers, but the protocol is still widely used.
In fact, most microcontrollers, even the newer ones have one or more peripherals capable of communicating using this protocol, and from the PC side, all operating system
for 4.2.4 or higher, 4.2.5,4.2.6,4.3.7, it's works, this is the way which makes Always in evaluation mode.
Terminal, go to the dir : cd /Applications/Beyond Compare.app/Contents/MacOSBCompare to BCompare.bak: mv BCompare BCompare.bakBCompare , and chmod a+ux BCompare : touch BCompare && chmod a+ux BCompareBCompare with text editor, insert the script :#!/bin/bash
rm "/Users/$(whoami)/Library/Application Support/Beyond Compare/registry.dat"
"`dirname "$0"`"/BCompare.bak $@
(NB: adapted from this Ask Ubuntu thread -- tested to work on Ubuntu 16.04 LTS through Ubuntu 22.04 LTS (Jammy).
Unlike using VMWare Tools to enable Linux guest capabilities, the open-vm-tools package doesn't auto-mount shared VMWare folders. This can be frustrating in various ways, but there's an easy fix.
Install open-vm-tools and run:
sudo mount -t fuse.vmhgfs-fuse .host:/ /mnt/hgfs -o allow_other
Licensed to: ASIO Allsoftinone Quantity: 1 user Serial number: 1822-9597 License type: Pro Edition for Linux
First delete away trial mode:
sudo sed -i "s/keexjEP3t4Mue23hrnuPtY4TdcsqNiJL-5174TsUdLmJSIXKfG2NGPwBL6vnRPddT7tH29qpkneX63DO9ECSPE9rzY1zhThHERg8lHM9IBFT+rVuiY823aQJuqzxCKIE1bcDqM4wgW01FH6oCBP1G4ub01xmb4BGSUG6ZrjxWHJyNLyIlGvOhoY2HAYzEtzYGwxFZn2JZ66o4RONkXjX0DF9EzsdUef3UAS+JQ+fCYReLawdjEe6tXCv88GKaaPKWxCeaUL9PejICQgRQOLGOZtZQkLgAelrOtehxz5ANOOqCaJgy2mJLQVLM5SJ9Dli909c5ybvEhVmIC0dc9dWH+/N9KmiLVlKMU7RJqnE+WXEEPI1SgglmfmLc1yVH7dqBb9ehOoKG9UE+HAE1YvH1XX2XVGeEqYUY-Tsk7YBTz0WpSpoYyPgx6Iki5KLtQ5G-aKP9eysnkuOAkrvHU8bLbGtZteGwJarev03PhfCioJL4OSqsmQGEvDbHFEbNl1qJtdwEriR+VNZts9vNNLk7UGfeNwIiqpxjk4Mn09nmSd8FhM4ifvcaIbNCRoMPGl6KU12iseSe+w+1kFsLhX+OhQM8WXcWV10cGqBzQE9OqOLUcg9n0krrR3KrohstS9smTwEx9olyLYppvC0p5i7dAx2deWvM1ZxKNs0BvcXGukR+/g" /usr/lib/beyondcompare/BCompare
| // -*- coding:utf-8; mode:c++; mode:auto-fill; fill-column:80; -*- | |
| /// @file sha256.cpp | |
| /// @brief Calculate and display the SHA-256 hash of a list of files. | |
| /// @author J. Arrieta <Juan.Arrieta@nablazerolabs.com> | |
| /// @date October 10, 2017 | |
| /// @copyright (c) 2017 Nabla Zero Labs | |
| /// @license MIT License | |
| /// | |
| /// Compiled in macOS High Sierra 10.13 (previous installation of OpenSSL 1.1.0). |
The official instructions on installing TensorFlow are here: https://www.tensorflow.org/install. If you want to install TensorFlow just using pip, you are running a supported Ubuntu LTS distribution, and you're happy to install the respective tested CUDA versions (which often are outdated), by all means go ahead. A good alternative may be to run a Docker image.
I am usually unhappy with installing what in effect are pre-built binaries. These binaries are often not compatible with the Ubuntu version I am running, the CUDA version that I have installed, and so on. Furthermore, they may be slower than binaries optimized for the target architecture, since certain instructions are not being used (e.g. AVX2, FMA).
So installing TensorFlow from source becomes a necessity. The official instructions on building TensorFlow from source are here: ht
| #include <stdio.h> | |
| #define HEIGHT 24 | |
| #define STB_TRUETYPE_IMPLEMENTATION | |
| #define STBTT_STATIC | |
| // gcc -Wall -Wno-unused-function -g ttfont.c -o ttfont.exe | |
| // https://github.com/nothings/stb/blob/master/stb_truetype.h | |
| #include "stb_truetype.h" |
