mulbc

class CephClient < Formula
  desc "Rados and RBD CLIs and libraries of the Ceph project"
  homepage "https://ceph.com"
  url "git@github.com:ceph/ceph.git", :using => :git, :tag => "v13.2.0"
  sha256 "9469c2af0a997a27ddfced71cef3fd55483ab0e34cc36a07a46ccf0d886a2d91"

  depends_on :python if MacOS.version <= :snow_leopard
 
  depends_on :osxfuse
  depends_on "openssl" => :build

svet-b

The Moxa UC-8100 line of "industrial IoT gateways", such as the Moxa UC-8112-LX, can be a good solution for on-site data acquisition. To get the most out of them we want to enable them to run snaps, like https://snapcraft.io/ammp-edge. Unfortunately, as of writing, the latest v2.0 firmware provided with these devices does not support this, for two main reasons:

1. The pre-installed OS is Debian 8, while snapd requires at least Debian 9.
2. The stock kernel does not include SquashFS support, and does not have the required CONFIG_DEVPTS_MULTIPLE_INSTANCES option set.

The steps for rectifying these shortcomings are roughly as follows:

Compiling and installing a custom kernel

The following commands assume you're doing this on the Moxa device itself, though for more expedient results you'll want to cross-compile on something more powerful. Also note that in order to build the kernel you'll need a couple of GB of free space, which is more

turingbirds

mterwill

Note: everything here is pretty specific to my usage/accounts and not written for public use... You'll probably have to tweak a bunch of stuff.

$ bean-extract config.py ~/Downloads # the csvs should be in here

zbyte64

import tarfile
import time
from io import BytesIO

admin_password = 'xxxxx'

#write password to file
pw_tarstream = BytesIO()
pw_tar = tarfile.TarFile(fileobj=pw_tarstream, mode='w')
file_data = admin_password.encode('utf8')

cjorssen

import numpy as np
from matplotlib import pyplot as plt

mu0 = 4 * np.pi * 1e-7 # H/m

a = 470 # A/m
alpha = 9.38e-4
c = 0.0889
k = 483 # A/m
Ms = 1.48e6 # A/m

yoavniran

The Ultimate Unit Testing Cheat-sheet

---

• Sinon Chai
• Chai
• Sinon

azadisaryev

/**
 * Convert Excel file to Sheets
 * @param {Blob} excelFile The Excel file blob data; Required
 * @param {String} filename File name on uploading drive; Required
 * @param {Array} arrParents Array of folder ids to put converted file in; Optional, will default to Drive root folder
 * @return {Spreadsheet} Converted Google Spreadsheet instance
 **/
function convertExcel2Sheets(excelFile, filename, arrParents) {
  
  var parents  = arrParents || []; // check if optional arrParents argument was provided, default to empty array if not

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD