Tag: programming

Dealing with Errors in C++ Using a Lightweight Monadic Approach

Managing errors and failures in every programming language is usually a pain. Most programming book authors just show the happy path scenario, sometimes noting down that error handling has to be done, but it has been left out for improving simplicity (and readability).

C++ offers the exception mechanism, which is a clever way to leave the happy path in sight and hide the troubles under the carpet. Even before questioning if this is a good idea or not, C++ abstraction is so delicate that you need to take particular care in making your code exception-safe. Meaning that in case of exception your program does not leak resources and leaves everything in a useful state so that the exception can indeed be recovered from.

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What’s wrong with you, std::optional?

“He Who Laughs Last Is At 300 Baud”, is possibly a long-forgotten joke, but sometimes C++ standard is like using a 300 baud modem, discovering “innovations” tens of years after other less committee-centric languages discover and apply them.

Let’s take the std::optional which tries to mimic the Option monad available in other languages. Since 1990 there has been a resurgence of functional programming languages in the mainstream – Haskell (1990), and Scala (2004) just to name two that have Option since their first version.

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As Smart as a Smart Type – Practice (C++)

In theory, practice and theory are the same, in practice they are not. So, after having read how brilliant and smart smart-types are, it is now time to have a closer look at the compiler and figure out what C++ can offer.

After my last post, I found that Smart Types are also known as Refined (or refinement) Types. And here is a notable implementation for Scala.

Simple things first, if you need a type with a bunch of possible values, don’t use int & #defines, don’t use bool either (please), use enum, or, even better enum class.

Now that we’ve done with the trivialities, let’s proceed to something more challenging – numeric types. Ideally, we want some template code that wraps the numeric type and saves us the boredom of writing all the usual +, -, *, /, ==, !=, <… operators, while letting us define the rules of the existence of the represented type.

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Watchdogging the Watchdog

Maybe one of the main differences between embedded software/PC programmers and server/backend programmers is their attitude toward system resets. A server programmer will try as hard as possible to avoid any sort of system reboot since this could make a bad situation even worse. They would always strive for graceful service degradation (i.e. the system would not provide its full or top-level service) whenever forced to take action against unexpected or failing conditions.

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Scala Job Interview – Reactive Programming

Here we are with the fourth installment in this Scala Job Interview series. The first was on general questions, the second on Scala language, and the third on functional programming.

Explain the actor model

In this case, the Actor Model has nothing to do with the Star System 🙂 I’m not sure where the term actor in “actor model” comes from. but, quite for sure, it has nothing to do with Hollywood, but more with the idea of something that “acts”, i.e. makes actions.

In fact, the Actor in the Actor Model is a processing entity that receives and reacts to messages. More precisely an Actor can only perform computation on the receipt of a message, when message processing is done, the actor just idly waits for the next incoming message.

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Scala Job Interview – FP questions

Welcome to the third installment of the Scala Job Interview Questions series. This time I’ll try to answer functional programming questions, likely my score will be a bit less than the first two editions (General Questions and Language Questions) because I like Functional Programming, but I’m still a traditional programmer (imperial?) who studied Algebra at high school and uni and then consider Algebra as useful (for programmers) as a doorstop in a tent.

Young and foolish I was, but who could imagine, back then that to run the dance of the bits I would ever need monoids?

Let’s not waste other time in void introduction, and start with the questions and my answers.

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Scala Job Interview – Language Questions

This is the second installment of this series. The first post in the series gives you a bit more context. Anyway, this is my try to answer Scala Interview grade Questions I found in a blog post by Signify. You can find alternate answers here.

Language Questions

What is the difference between a var, a val and def?

All these keywords are for declaring something. var declares a variable, val declares a variable that cannot be re-assigned and def declares a function.

var a = 3
val b = 3
def c = 3

In the above code, a is a variable as you can find in almost every language, you can increment it, re-assign it. Standard stuff.

b is a variable bound to value 3 forever? Attempting to change its value results in a compile-time error. c is a parameterless function that returns 3. Interestingly a, b and c evaluate to the integer 3. Also note that val just prevents reassignment, not value change. E.g. in the following code:

class Foo {
  private var a: Int = 3
  def change( newA : Int ) : Unit = { a = newA }

val x = new Foo()

There is no compile-time error because you are not changing the bound between x and the instance that references. You are just changing the instance.

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Scala Job Interview Answers

Idling over Twitter I came across a post on Signify blog about a list of Scala Job Interview Questions. The post in fact referenced a GitHub repository. Now the post came with a pointer to ready-made answers, but I decided to take the exercise and try to reply myself. The intent was both to check my knowledge and to learn something new since I’m no Scala guru.

The post contained many questions, grouped by topic. So I prefer to split my answers along several posts to keep them short and manageable.

Let’s start with general questions.

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Is C++ Ready for Functional Programming? – Types


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Although functional programming can be done in a dynamically typed language (Lisp, the functional programming language forerunner, had no types), strong static type adds a very natural complement to functional programming.

From a mathematical point of view, a function sets a relationship between the set defined by the function argument (domain in math speaking) and the corresponding results (co-domain). Algebra studies exactly these relationships and may help the programmer in proving certain properties of the functions composing the programs.

Algebraic Data Types (ADT) are aggregated types in the algebra context. Two ADTs are of particular interest – sum types and product types. With sum and product referring to the resulting number of possible values (i.e. cardinality of sets).

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