Rinat Abdullin abdullin

 Okay, so I need to figure out which specs would fail if I add a new feature that automatically blocks the card and declines any transaction over 1,000, regardless of available credit. Let me break this down step by step.

First, the new feature introduces two main actions for transactions exceeding 1,000: blocking the card (if not already blocked) and declining the transaction with a specific reason. This means that even if the card has enough credit, any transaction over 1,000 will be declined and the card will be blocked.

Now, looking at the existing specs, I need to identify which ones would be affected by this change. Let's go through each spec one by one.

Starting with the transaction specs:

authorize_transaction_success: This spec tests authorizing a transaction of 2000, which is above 1000. With the new feature, this should be declined and the card blocked. So this spec would fail because it expects a successful authorization, but now it should decline.

Structuring Neat .NET Core Console Apps Neatly

So you’ve created a really neat console app, but it’s growing and you need a way to keep it all neatly organized and preferrably with some Good Practices.

The guys at Entity Framework have thought about this and structured their console app really neatly. Today, we’ll take the ninja app we built previously and make it all look pretty and stuff.

I know what I’m doing, just gimme the damn framework!

Flow: Actor-based Concurrency with C++

Engineering challenges

FoundationDB began with ambitious goals for both high performance per node and scalability. We knew that to achieve these goals we would face serious engineering challenges while developing the FoundationDB core. We'd need to implement efficient asynchronous communicating processes of the sort supported by Erlang or the Async library in .NET, but we'd also need the raw speed and I/O efficiency of C++. Finally, we'd need to perform extensive simulation to engineer for reliability and fault tolerance on large clusters.

To meet these challenges, we developed several new tools, the first of which is Flow, a new programming language that brings actor-based concurrency to C++11. To add this capability

	{
	"short_thought_steps": [
	"To identify failing specs, first determine where the new feature affects existing behavior. The new feature says that after authorizing a transaction larger than 3000, the card is auto-blocked. The existing command handler for TransactionAuthorization is being extended, so look at specs related to authorizing transactions, specifically those over 3000.",
	"Check the specs related to transaction authorization, focusing on cases where the transaction amount is over 3000 and the outcome. If any existing specs do not account for this new blocking condition, they would fail.",
	"The existing specs include scenarios like 'authorize_transaction_success', 'transaction_declined_over_limit', 'transaction_declined_if_blocked', etc. The new rule adds an additional condition for when transactions over 3000 cause a block.",
	"Looking at the spec 'authorize_transaction_success', which uses a 2000 amount, so the new rule does not affect it. The 'transaction_declined_over_limit' uses

	(tracking them here just ouf of amusement)

	Incompatible argument passed to the input "in_model_path" of component "step-train": Argument type "String" is incompatible with the input type "GCSPath"

	Passing value "data" with type "String" (as "Parameter") to component input "in_model_path" with type "GCSPath" (as "Artifact") is incompatible. Please fix the type of the component input.

	ValueError: Unexpected type

	TypeError: The pipeline argument "model_path" is viewed as an artifact due to its type "Path". And we currently do not support passing artifacts as pipeline inputs. Consider type annotating the argument with a primitive type, such as "str", "int", "float", "bool", "dict", and "list".

	public sealed class Tracer {

	int _traceId;

	readonly Func<long> _clock;
	StreamWriter _writer;

	public Tracer(Func<long> clock) {
	_clock = clock;

	using System;
	using System.Collections.Concurrent;
	using System.Collections.Generic;
	using System.Diagnostics;
	using System.IO;
	using System.IO.Compression;
	using System.Linq;
	using System.Threading;

	namespace SearchBench {

	(ns azurelog.reader
	(:require [clj-time.core :as t]
	[clj-time.format :as f]
	[clojure.java.io :as io])
	(:import [com.microsoft.azure.storage CloudStorageAccount]
	[java.nio ByteOrder ByteBuffer]
	[com.microsoft.azure.storage.blob]
	[java.util.zip GZIPInputStream]
	[org.apache.commons.io.input BoundedInputStream]))

	// Bookmarklet for making Houzz useful
	javascript:$("img.viewImage, img.currentImage, img.space, img[id^=galleryImg], img[class^=browseListImage], .gallery-photo img").each(function() { var newSrc = this.src.replace(/[fs]images\/(\d+).*/, 'simages/$1_0_9-.jpg').replace(/_\d-/,'_16-'); $(this).parents("div.browseListBody").before("<a href='"+newSrc+"'><img src='"+newSrc+"' width=400></a>") });$("div.content-row").remove();