nicolas-miari

import Foundation
import CoreImage

/**
 Based on: https://gist.github.com/SheffieldKevin/566dc048dd6f36716bcd
 Updated for Swift 5.5 (Xcode 13)
 */
class ImageDiff {

  func compare(leftImage: CGImage, rightImage: CGImage) throws -> Int {

randomsequence

//
// Thanks Kevin!
// https://gist.github.com/SheffieldKevin/566dc048dd6f36716bcd
//

import CoreGraphics
import CoreImage

extension CGImage {
    

apaszke

from graphviz import Digraph
import torch
from torch.autograd import Variable, Function

def iter_graph(root, callback):
    queue = [root]
    seen = set()
    while queue:
        fn = queue.pop()
        if fn in seen:

tokestermw

""" 
Play with saving .

Closest:
    https://github.com/tensorflow/tensorflow/issues/616#issuecomment-205620223
"""
import numpy as np

import tensorflow as tf
from tensorflow.python.platform import gfile

edgarriba

import torch
import numpy as np

import pickle

f = open('/home/eriba/software/pytorch/examples-edgarriba/triplet/nan_test.pkl', 'rb')

data = pickle.load(f)

a = torch.from_numpy(data['a']).cuda()

mrdrozdov

from tf_logger import TFLogger


""" Example of using TFLogger to save train & dev statistics. To visualize
    in tensorboard simply do:
    
        tensorboard --logdir /path/to/summaries
        
    This code does depend on Tensorflow, but does not require that your model
    is built using Tensorflow. For instance, could build a model in Chainer, then

fl0w

# lazyload nvm
# all props goes to http://broken-by.me/lazy-load-nvm/
# grabbed from reddit @ https://www.reddit.com/r/node/comments/4tg5jg/lazy_load_nvm_for_faster_shell_start/

lazynvm() {
  unset -f nvm node npm npx
  export NVM_DIR=~/.nvm
  [ -s "$NVM_DIR/nvm.sh" ] && . "$NVM_DIR/nvm.sh" # This loads nvm
  if [ -f "$NVM_DIR/bash_completion" ]; then
    [ -s "$NVM_DIR/bash_completion" ] && \. "$NVM_DIR/bash_completion" # This loads nvm bash_completion

dongyuwei

# Keep in mind that when asking for a `return` after another, only the first one will be output.
# This example is meant as a simple starting point, to show how to get the information in the simplest available way.

# Google Chrome
tell application "Google Chrome" to return URL of active tab of front window
tell application "Google Chrome" to return title of active tab of front window
# Google Chrome Canary
tell application "Google Chrome Canary" to return URL of active tab of front window
tell application "Google Chrome Canary" to return title of active tab of front window
# Chromium

mtauraso

Xcodebuild flag reference for CI:

Required flags:

-project OR -workspace

What xcode project/workspace file we're using. If you specify a project on the command-line and that project has an associated workspace, the project is still aware of its existence within the workspace. As an example, worspace level schemes will be available to xcodebuild even if you specify a project on the command line.

-scheme

Specify the scheme to use for build. Schemes specify multiple build/test targets along with environment args and command line parameters. Schemes must be marked "shared" in the xcode UI in order to be available to xcodebuild. For any particular build/test action there is a default configuration when you use a scheme from the Xcode UI.

coderofsalvation

# updates an environment variable of a running process (needs sudo)
# example: sudo export_pid <variable=value> <pid>

export_process(){
  script=/tmp/.gdb.$2
  echo -e "attach $2\ncall putenv (\"$1\")\ndetach\n" > $script
  gdb -q -batch -x $script &>/dev/null
  rm $script
}