RlonRyan

(?!(?:abstract|continue|for|new|switch|assert|default|if|package|synchronized|boolean|do|goto|private|this|break|double|implements|protected|throw|byte|else|import|public|throws|case|enum|instanceof|return|transient|catch|extends|int|short|try|char|final|interface|static|void|class|finally|long|strictfp|volatile|const|float|native|super|while)(?=\Z|\s|;))(?<=\A|\s|;)[\p{L}\p{Pc}$^\s][\p{L}\p{Pc}$\p{N}]*

julianxhokaxhiu

#!/bin/bash
#
# Credits to fuckbecauseican5 from https://www.reddit.com/r/hackintosh/comments/4s561a/macos_sierra_16a238m_install_success_and_guide/
# Adapted to work with the official image available into Mac App Store
#
# Enjoy!

hdiutil attach /Applications/Install\ macOS\ Sierra.app/Contents/SharedSupport/InstallESD.dmg -noverify -nobrowse -mountpoint /Volumes/install_app
hdiutil create -o /tmp/Sierra.cdr -size 7316m -layout SPUD -fs HFS+J
hdiutil attach /tmp/Sierra.cdr.dmg -noverify -nobrowse -mountpoint /Volumes/install_build

kabutz

/* 
  Algorithm is exponential - very bad.  It is just meant to exercise the CPU a bit and
  to see what happens with different languages.  Not representative of real code.
  Interesting that Java beats C, thanks to HotSpot. I expected Swift to be as fast as C
  at least.  I also expected the compiled Swift to be faster than when run as a script.
  A bit disappointed, but more time needed to see where the bottlenecks are.  Plus I 
  need to run some real code for benchmarking.
  
  Update: swiftc -O improved the speed quite a bit to be about the same speed as Java
  

krasnovpro

# This script creates two kinds of isometric cameras.
#The one, TrueIsocam called camera, is the mathematical correct isometric camera with the 54.736 rotation to get the 30 degrees angles at the sides of the rhombus.
#The other, GameIsocam called camera, is a camera with which you can render isometric tiles for a 2d game. Here we need a 60 degrees angle instedad of the 54.736 one to get a proper stairs effect and a ratio of 2:1
# Then there is the special case with a 4:3 ratio, which is button 3. You can also make 2D games with that one. The view is more topdown though as with a 2:1 ratio of the traditional game iso view.
# The fourth button creates a simple groundplane where you can place your stuff at.

#You can of course set up everything by hand. This script is a convenient solution so that you don't have to setup it again and again.

# The script is under Apache license

ilmonteux

import numpy as np
import keras.backend as K
import tensorflow as tf

def metrics_np(y_true, y_pred, metric_name, metric_type='standard', drop_last = True, mean_per_class=False, verbose=False):
    """ 
    Compute mean metrics of two segmentation masks, via numpy.
    
    IoU(A,B) = |A & B| / (| A U B|)
    Dice(A,B) = 2*|A & B| / (|A| + |B|)