Most programming languages have this operator
= which is called the assignment operator.
Have you ever wondered why this is called assignment and not simply equals ?
You might think equals is already defined and you are probably thinking of
but this is called “equal to”, this one answers a question but assigment is an action, make a equal to b.
` val a = b `
I will try to show you this operator is broken or to be less dramatic, one very popular paradigm of programming makes it look broken.
The intuitive behavior
Here the value 5 is assigned to the variable five.
Next what follows are two possible programs to double the value.
We can reuse the
five or use the actual definition of the variable (inlining).
Basically whenever we see
five we copy-paste its definition
In the end I guess we can all agree and find it intuitive that by doing this copy-paste rewrite these programs are equivalent.
Here we could really call
= “equals” since it follows precisely the meaning of
= in math:
5 + x = 10 so then
x = 10 - 5 and replacing
x in the first we can write
5 + 10 - 5 = 10. All fine.
= really means equality, which is different from the assignment from programming.
five with reading from the console.
We might look at this and say there is no problem (provided we always input the same numbers). But numbers are not the problem here. In this case by applying the same copy-paste refactor, we don’t end up with the original program!
readNumberPlusReadNumber we read ONCE from the console. Even though we said we want to read two numbers:
readNumberPlusReadNumberInlined we read TWICE from the console.
The two programs are not the same anymore! The nice and intuitive meaning of
= is lost.
We can no longer refactor easily because we have to think about the effects which generate the values, when
did they happen.
In this case
= assigns only the value provided by the effect of reading from the console.
In this sense
=is broken, it does not work as the equals from math, the left side is not truly equal to the right side. It assigns the value, but loses the effect which generated the value. This makes refactoring harder since the effect is left to the programmers mind and memory to manage it and keep track of.
The good news is that we can fix
= and make it have the meaning of equals from math.
The trick is to also keep track of the effect in the type itself, not just the value.
Our new type will contain: effect + value.
Now we can define a variable which will run an effect that will produce a value.
but if we write
we will get a compile error since
+ is not defined for our ValueFromEffect, but not just
+, we don’t
have any operation defined for this type, so we have to find a generic way to extract and combine these values.
With the methods defined above now we can combine any number of ValueFromEffect variables.
Lets try again to refactor the program with the copy-paste method, literally replacing everywhere readNumberValue with its definition
what is left is to
runEffectToGetValue on these programs and check our refactor did not change the meaning and they behave the same
We fixed the assignment operator!
Now imagine we want to write a program than prints the result of the assert 10 times.
Woops! We have the same problem as with the console read. Print is also an effect and we lost the effect in the type of list in this case. The solution is to use our type which keeps track of both effect and value:
runEffectToGetValue is running the effect, this is the same as having console read or print here,
if we want to build bigger programs while still keeping the benefits of
= we can’t do this.
No matter the number and kind of effects (read/write console, disk, read sistem time) we can always refactor
runEffectToGetValue only once.
Here we have a pureProgram, where no effects run, only descriptions of them exist in ValueFromEffect.
All the descriptions are then composed together and returned as a single one:
On this we call
runEffectToGetValue once in Main.
This is what is called pushing effects to the boundary of the program.
And being able to do the copy-paste refactor without changing the behavior is called referencial transparency (or purity - due to lack of effects) which leads to algebraic reasoning, meaning our code has well defined rules and properties making it easier to refactor and compose small programs into larger programs