ivan-magda

//
// PSPDFThreadSafeMutableDictionary.m
//
// Copyright (c) 2013 Peter Steinberger, PSPDFKit GmbH. All rights reserved.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is

ivan-magda

libdispatch efficiency tips

I suspect most developers are using the libdispatch inefficiently due to the way it was presented to us at the time it was introduced and for many years after that, and due to the confusing documentation and API. I realized this after reading the 'concurrency' discussion on the swift-evolution mailing-list, in particular the messages from Pierre Habouzit (who is the libdispatch maintainer at Apple) are quite enlightening (and you can also find many tweets from him on the subject).

• https://lists.swift.org/pipermail/swift-evolution/Week-of-Mon-20170828/date.html
• https://lists.swift.org/pipermail/swift-evolution/Week-of-Mon-20170904/date.html
• https://twitter.com/pedantcoder

My take-aways are:

ivan-magda

import Foundation
import SceneKit

class ARQLThumbnailGenerator {
    private let device = MTLCreateSystemDefaultDevice()!

    /// Create a thumbnail image of the asset with the specified URL at the specified
    /// animation time. Supports loading of .scn, .usd, .usdz, .obj, and .abc files,
    /// and other formats supported by ModelIO.

ivan-magda

ivan-magda

[
    {
        "id":1,
        "poll_id": 1,
        "type": "poll_started",
        "time": 1,
        "episode": 1,
        "episode_time": 180,
        "subject" : {
            "title": "Buffalo bills",

ivan-magda

Tic-Tac-Toe with AI [48]

Stage 1: Print a state of the game field [stage description]

• Introduction to Java https://hyperskill.org/learn/step/3500
• Basic literals https://hyperskill.org/learn/step/3522
• The first program https://hyperskill.org/learn/step/3521
• Printing data https://hyperskill.org/learn/step/3749
• IDE https://hyperskill.org/learn/step/3805
• IntelliJ IDEA https://hyperskill.org/learn/step/3801

ivan-magda

2.49837	0.7625998	-0.41463705	0.74808	-0.984809	0.212696	-0.982626	1.98065	-0.067708	-0.808898	-3.048525	-0.206514	-0.564054	-1.06774	2.009544	-1.54157	0.3084404	-0.1453412	-0.3682949	-1.181298	-1.954458	0.5936875	-0.007925	-1.18609	-1.076712	0.441208	-0.6149327	-0.6737745	-0.548164	-0.678282	-0.979549	0.3398381	1.200101	-0.1549723	-1.5517351	0.4523386	0.812903	0.616082	0.508288	-0.6328517	0.833386	-0.02063	1.281967	0.034627	-0.11587	1.74212	-0.013191	-0.05503	-0.6040632	2.549117	-0.6947036	1.576232	0.106304	0.1398028	-0.748427	-0.250538	-1.028614	0.306609	2.27516	0.176498	-0.2508784	-0.512642	0.870953	-0.6913884	-1.339646	-0.349643	-0.633111	-1.294784	0.4119816	-0.68309473	1.085767	0.459174	-0.117124	-2.213827	-0.3425178	0.892288	1.0149716	-0.218539	-0.68179983	-0.826289	-0.889451	-0.845018	-1.362909	0.330857	0.0869631	-0.955294	-2.210034	-0.190876	-1.597112	-0.607222	-0.297053	1.1552849	-0.847756	-0.368633	-0.912897	1.007006	-0.786779	-0.891943	0.435465	-0.935952	-0.388075	-1.347212	-1.53969	-1.377349	1.341

ivan-magda

get
type
data
name
set
string
value
size
dev
info

ivan-magda

{
  "embeddings": [
    {
      "tensorName": "code embeddings",
      "tensorShape": [
        10000,
        150
      ],
      "tensorPath": "https://gist.githubusercontent.com/vanyaland/0ba58a0fd3dc7ba5e446a890c9e3e3e6/raw/4fc965877a5e9400176d166e6ca82599609d0c2b/vectors.100.tsv",
      "metadataPath": "https://gist.githubusercontent.com/vanyaland/d90f1ed9b0312551bc57bf7dfa35bd60/raw/30f4d502444afcf429154c0cad42abfa880e9823/labels.100.tsv"

ivan-magda

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