Fabrizio Milo Mistobaan

## facets_colab.py
import shutil
if os.path.exists('./facets'):
  shutil.rmtree("./facets")

!git clone https://github.com/PAIR-code/facets
!jupyter nbextension install facets/facets-dist/

import sys
import os
sys.path.append(os.path.abspath('./facets/facets_overview/python/'))

## build.sh
#!/bin/bash

CWD=$(pwd)
GPROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.7.0/protobuf-cpp-3.7.0.tar.gz

compile_gprotobuf () {
    sudo apt-get install autoconf automake libtool curl make g++ unzip &&
    wget $GPROTOBUF_URL &&
    fname=protobuf-cpp-3.7.0.tar.gz &&
    tar xvzf $fname && rm $fname &&

## release.sh
#!/bin/bash

# current Git branch
branch=$(git symbolic-ref HEAD | sed -e 's,.*/\(.*\),\1,')

# v1.0.0, v1.5.2, etc.
versionLabel=v$1

# establish branch and tag name variables
devBranch=develop

## intra_parallelism.py
# try running cpu intensive test on two devices

import tensorflow as tf
import time

def matmul_op():
  """Multiply two matrices together"""

  n = 2000
  a = tf.ones((n, n), dtype=tf.float32)

## ipythonjs.py
# Example from http://jakevdp.github.io/blog/2013/06/01/ipython-notebook-javascript-python-communication/ adapted for IPython 2.0
# Add an input form similar to what we saw above

from IPython.display import HTML
from math import pi, sin

input_form = """
<div style="background-color:gainsboro; border:solid black; width:600px; padding:20px;">
Code: <input type="text" id="code_input" size="50" height="2" value="sin(pi / 2)"><br>
Result: <input type="text" id="result_output" size="50" value="1.0"><br>

## ipy_repl.py
import os
import sys
import json
import socket
import threading

activate_this = os.environ.get("SUBLIMEREPL_ACTIVATE_THIS", None)

# turn off pager
os.environ['TERM'] = 'emacs'

## install-tensorflow.sh
# Note – this is not a bash script (some of the steps require reboot)
# I named it .sh just so Github does correct syntax highlighting.
#
# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5
#
# The CUDA part is mostly based on this excellent blog post:
# http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/

# Install various packages
sudo apt-get update

## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

## ReCodeSign.md

      
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                Mistobaan
                / ReCodeSign.md
            
            
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              October 23, 2015 03:23
                — forked from 0xc010d/ReCodeSign
            
              
                Codesign an iOS app, with a different distribution certificate and mobileprovisioning file. 
              
          
Copy the delivered ipa into a directory to work in.


export PlistBuddy="/usr/libexec/PlistBuddy" to get the PlistBuddy tool to your shell. If it is not added, all references to PlistBuddy
will need to be written as the full path.


Take the delivered App.ipa and unzip it using the unzip command. This should produce a Payload directory containing the app and its
resources.


Enter the command "codesign -d --entitlements :enterprise.plist Payload/PathToApp.app/" This pulls the entitlements out of the app, and
prints them to a plist, without a leading "blob" of data. Pay particular attention to the colon before the enterprise.plist file name.


## FBAnimationPerformanceTracker.h
/*
 * This is an example provided by Facebook are for non-commercial testing and
 * evaluation purposes only.
 *
 * Facebook reserves all rights not expressly granted.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
 * OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NON INFRINGEMENT. IN NO EVENT SHALL
 * FACEBOOK BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN
	import shutil
	if os.path.exists('./facets'):
	shutil.rmtree("./facets")

	!git clone https://github.com/PAIR-code/facets
	!jupyter nbextension install facets/facets-dist/

	import sys
	import os
	sys.path.append(os.path.abspath('./facets/facets_overview/python/'))
	#!/bin/bash

	CWD=$(pwd)
	GPROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.7.0/protobuf-cpp-3.7.0.tar.gz

	compile_gprotobuf () {
	sudo apt-get install autoconf automake libtool curl make g++ unzip &&
	wget $GPROTOBUF_URL &&
	fname=protobuf-cpp-3.7.0.tar.gz &&
	tar xvzf $fname && rm $fname &&
	#!/bin/bash

	# current Git branch
	branch=$(git symbolic-ref HEAD \| sed -e 's,./\(.\),\1,')

	# v1.0.0, v1.5.2, etc.
	versionLabel=v$1

	# establish branch and tag name variables
	devBranch=develop
	# try running cpu intensive test on two devices

	import tensorflow as tf
	import time

	def matmul_op():
	"""Multiply two matrices together"""

	n = 2000
	a = tf.ones((n, n), dtype=tf.float32)
	# Example from http://jakevdp.github.io/blog/2013/06/01/ipython-notebook-javascript-python-communication/ adapted for IPython 2.0
	# Add an input form similar to what we saw above

	from IPython.display import HTML
	from math import pi, sin

	input_form = """
	<div style="background-color:gainsboro; border:solid black; width:600px; padding:20px;">
	Code: <input type="text" id="code_input" size="50" height="2" value="sin(pi / 2)"><br>
	Result: <input type="text" id="result_output" size="50" value="1.0"><br>
	import os
	import sys
	import json
	import socket
	import threading

	activate_this = os.environ.get("SUBLIMEREPL_ACTIVATE_THIS", None)

	# turn off pager
	os.environ['TERM'] = 'emacs'
	# Note – this is not a bash script (some of the steps require reboot)
	# I named it .sh just so Github does correct syntax highlighting.
	#
	# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5
	#
	# The CUDA part is mostly based on this excellent blog post:
	# http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/

	# Install various packages
	sudo apt-get update
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)
	/*
	* This is an example provided by Facebook are for non-commercial testing and
	* evaluation purposes only.
	*
	* Facebook reserves all rights not expressly granted.
	*
	* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
	* OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
	* FITNESS FOR A PARTICULAR PURPOSE AND NON INFRINGEMENT. IN NO EVENT SHALL
	* FACEBOOK BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN