![]() I am running on a MacMini 2010, macOS 10.13.6 (HIgh Sierra). I have deleted/reinstalled both the app and Starcraft three times, but without any success. These issues are pretty much identical to what was experienced here: Several choices in the Main menu screen (Options, HotKeys, etc.) lock the game up.When clicking “Multiplayer”, on the screen to choose network, is not selectable (no servers listed), and LAN goes nowhere after selecting it.I will summarize.Īfter updating Starcraft (not Remastered) on July 1, 2020, I was no longer able to access, and a number of other issues cause the game to crash: I fixed it in the morning and the runtime went from ~ 7 hours to 0.2 sec.I’m re-posting this from the “Classic” forum at the request of Customer Support. I actually got the answer to part 2 after letting my dumb-but-optimized part 1 solution run overnight, but while it was running, mulling it over in bed, I realized that this was a linked list problem. ![]() Day 23: Crab Cups ( code)Ĭlassic AoC problem where the simple solution for part 1 utterly fails in part 2. Part 2 did require assembling, and that was a bit tedious. Once you have that, your corners are the tiles that have two “singleton” sides (i.e. matchGroups ( in : myString ) for match in matches Let animalsRegex = try RegEx ( pattern : # "(fox|dog)" # ) let matches = animalsRegex. Here it just feels like they never properly ported them over from Objective-C. Thankfully Swift is easy to monkey-patch, so I added some useful extensions to make it tolerable. You can at least make it easier and less ugly than myString. Indexing into an array is expected to be a constant-time operation, but that’s not possible when you have to look at the preceding bytes in order to figure out what the _i_th character is. Strings are complicated in a language like Swift that supports Unicode well. Swift does not make this easy out-of-the-box. AoC usually involves loads of string manipulation and parsing, so being able to easily index into strings is super helpful. Here are some quick thoughts on Swift as an AoC language, some general AoC tips, and notes on some of the more interesting puzzles. Perhaps it helped that I picked a language that I had some experience with, Swift. It seemed a bit easier than some previous years. They should involve infrastructure, security, and other domain experts early on, and be sure to be open in their communication with the rest of the company.Īdvent of Code was a fun diversion this year. The value of ML governance needs to be understood at the highest levels. They need support from the larger organization. As ML companies mature, neither of these are “features” or “nice-to-haves”-they are hard requirements that are critical to an ML strategy.ĭata scientists can’t do this all by themselves. ML governance is how you manage those practices and tools, democratizing ML across your organization through nonfunctional requirements like observability, auditability, and security. MLOps is the set of best practices and tools that allow you to deliver ML at scale. The delivery and operational phases are much more complex, including things like observability, auditing, cost visibility, versioning, alerting, model cataloging, security, compliance, and much more. In the development phase, this includes validation and reproducibility of your model, and documentation of your methods and rationale. ![]() ML needs to follow the same governance standards for software & data as other more traditional software engineering does in your organization. ML is becoming commoditized, but there hasn’t been much in the way of scalable frameworks to support the delivery and operation of models in production (of course, Algorithmia has one, hence their sponsoring of this report). The Framework for ML Governance by Kyle Gallatin
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