mjm

import Combine
import CoreData

extension NSManagedObjectContext {
    func changesPublisher<Object: NSManagedObject>(for fetchRequest: NSFetchRequest<Object>)
        -> ManagedObjectChangesPublisher<Object>
    {
        ManagedObjectChangesPublisher(fetchRequest: fetchRequest, context: self)
    }
}

bartleby

URL Schemes

Apple
 
Apple Music     — music://geo.itunes.apple.com/us/albums/<albumID>
                – music://geo.itunes.apple.com/us/artists/<artistID>
 
Apple News      — applenews://
App Store       — itms-apps://itunes.apple.com/app/<appID>
Apple TV        — videos://

siemanko

"""Short and sweet LSTM implementation in Tensorflow.

Motivation:
When Tensorflow was released, adding RNNs was a bit of a hack - it required
building separate graphs for every number of timesteps and was a bit obscure
to use. Since then TF devs added things like `dynamic_rnn`, `scan` and `map_fn`.
Currently the APIs are decent, but all the tutorials that I am aware of are not
making the best use of the new APIs.

Advantages of this implementation:

kaneshin

#!/bin/sh

MERGEPBX_TARGET=mergepbx
MERGEPBX_PREFIX=/usr/local/bin
MERGEPBX_BUILD_DIR=/tmp
MERGEPBX_REPO=https://github.com/simonwagner/mergepbx.git

build()
{
  cd $MERGEPBX_BUILD_DIR/$MERGEPBX_TARGET