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import os
import random
from PIL import Image, ImageOps


def concat_images(image_paths, size, shape=None):
    # Open images and resize them
    width, height = size
    images = map(Image.open, image_paths)
    images = [ImageOps.fit(image, size, Image.ANTIALIAS) 

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Built-in

diskutil erasevolume HFS+ 'RAM Disk' `hdiutil attach -nobrowse -nomount ram://XXXXX`

where XXXXX is the size of the RAM disk in terms of memory blocks.

Notes:

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Encrypted APFS Home Folder on Mac OSX

Note: This is an update of Will Haley's excellent post to use APFS instead of CoreStorage.

UPDATE: Doesn't work on Catalina

The script can't read the file containing the password on the USB thumb drive. When formatted as FAT32 as described below, the user/group of the file is unknown/unknown. But I also tried formatting the USB thumb drive in HFS+, unchecking "Ignore permissions on this volume" and changing the file owner to root:wheel. The file is still not readable to the boot process. Probably something to do with new security restrictions in Catalina. A script running as root reading data from a thumb drive? Makes sense.

Back to previous program

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### Installing global Python & Pip Use Brew brew install python

That'll install both Python, PIP and setuptools. If for some reason it didn't install PIP you can do via

curl https://bootstrap.pypa.io/get-pip.py > get-pip.py
sudo python get-pip.py

c/f MacOSX setup gitbook

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LambdaContext

Here is the raw output from examining the LambdaContext context object in a AWS Lambda function when called from a CloudFormation stack. More information on the context object can be found here : http://docs.aws.amazon.com/lambda/latest/dg/python-context-object.html

LambdaContext object : print(context)

<__main__.LambdaContext object at 0x7fd706780710>

LambdaContext vars : vars(context)

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service: service-name

provider:
  name: aws
  runtime: nodejs6.10

functions:
  myfunc:
    handler: handler.myfunc

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{
    "Statement": [
        {
            "Action": [
                "apigateway:*",
                "appsync:CreateApiKey",
                "appsync:CreateDataSource",
                "appsync:CreateFunction",
                "appsync:CreateGraphqlApi",
                "appsync:CreateResolver",

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//
// The new assembly support in Solidity makes writing helpers easy.
// Many have complained how complex it is to use `ecrecover`, especially in conjunction
// with the `eth_sign` RPC call. Here is a helper, which makes that a matter of a single call.
//
// Sample input parameters:
// (with v=0)
// "0x47173285a8d7341e5e972fc677286384f802f8ef42a5ec5f03bbfa254cb01fad",
// "0xaca7da997ad177f040240cdccf6905b71ab16b74434388c3a72f34fd25d6439346b2bac274ff29b48b3ea6e2d04c1336eaceafda3c53ab483fc3ff12fac3ebf200",
// "0x0e5cb767cce09a7f3ca594df118aa519be5e2b5a"

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The new 1.10 version of hdf5 library is stable. You can now install from the source to use this new capability.

The installation process has a few caveats, so here is how to do it.

Note:

1. you need to first remove the hdf5 libraries currently installed in ubuntu.
2. Then you need to reinstall h5py.
3. when you reinstall h5py via pip, use the --no-binary flag. This is because the h5py wheel comes with its own hdf5 binary.

Instructions:

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#remove old
sudo apt-get remove docker docker-engine docker.io

sudo apt-get update

sudo apt-get install apt-transport-https ca-certificates curl software-properties-common
    
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu xenial stable"