# Scala algorithm: Matching parentheses algorithm with foldLeft and a state machine

## Algorithm goal

Algorithm to check parentheses in a String are balanced. This problem is also known as:

• On Codility: Stacks and Queues: Brackets - Determine whether a given string of parentheses (multiple types) is properly nested.
• On HackerRank: Balanced Brackets - Given strings of brackets, determine whether each sequence of brackets is balanced. If a string is balanced, return YES. Otherwise, return NO.

Parentheses in a String are balanced when an opening bracket is followed by another opening bracket or by a closing bracket of the same time.

For example, `([])` is balanced, but `([)` and `([)]` are not.

We have a plain tail-recursive solution as well: ParenthesesTailRecursive

## Test cases in Scala

``````assert(parenthesesAreBalancedFolding("()"))
assert(parenthesesAreBalancedFolding("[()]"))
assert(parenthesesAreBalancedFolding("{[()]}"))
assert(parenthesesAreBalancedFolding("([{{[(())]}}])"))
assert(!parenthesesAreBalancedFolding("{{[]()}}}}"))
assert(!parenthesesAreBalancedFolding("{[(])}"))
``````

## Algorithm in Scala

36 lines of Scala (compatible versions 2.13 & 3.0).

## Explanation

Please see the tail-recursive version for algorithm explanation: ParenthesesTailRecursive. The two are nearly equivalent, except that the folding version goes through the whole string (which may not be optimal - but there is an optimisation to make it more efficient using `.view` (View). Here is the state transition diagram of this implementation. (this is © from www.scala-algorithms.com)

```stateDiagram
[*] --> BalancedStack
BalancedStack --> [*]
BalancedStack --> Stacked
BalancedStack --> Failed
Stacked --> BalancedStack
Stacked --> Failed
Failed --> [*]

```

## Scala concepts & Hints

1. ### foldLeft and foldRight

A 'fold' allows you to perform the equivalent of a for-loop, but with a lot less code.

``````def foldMutable[I, O](initialState: O)(items: List[I])(f: (O, I) => O): O =
items.foldLeft(initialState)(f)
``````
2. ### Pattern Matching

Pattern matching in Scala lets you quickly identify what you are looking for in a data, and also extract it.

``````assert("Hello World".collect {
case character if Character.isUpperCase(character) => character.toLower
} == "hw")
``````
3. ### Stack Safety

Stack safety is present where a function cannot crash due to overflowing the limit of number of recursive calls.

This function will work for n = 5, but will not work for n = 2000 (crash with java.lang.StackOverflowError) - however there is a way to fix it :-)

In Scala Algorithms, we try to write the algorithms in a stack-safe way, where possible, so that when you use the algorithms, they will not crash on large inputs. However, stack-safe implementations are often more complex, and in some cases, overly complex, for the task at hand.

``````def sum(from: Int, until: Int): Int =
if (from == until) until else from + sum(from + 1, until)

def thisWillSucceed: Int = sum(1, 5)

def thisWillFail: Int = sum(1, 300)
``````
4. ### State machine

A state machine is the use of `sealed trait` to represent all the possible states (and transitions) of a 'machine' in a hierarchical form.

5. ### State machine

A state machine is the use of `sealed trait` to represent all the possible states (and transitions) of a 'machine' in a hierarchical form.

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