ligo/gitlab-pages/docs/reference/list.md

---
id: list-reference
title: Lists — Linear Collections
---

import Syntax from '@theme/Syntax';

Lists are linear collections of elements of the same type. Linear
means that, in order to reach an element in a list, we must visit all
the elements before (sequential access). Elements can be repeated, as
only their order in the collection matters. The first element is
called the *head*, and the sub-list after the head is called the
*tail*. For those familiar with algorithmic data structure, you can
think of a list a *stack*, where the top is written on the left.

# Defining Lists


<Syntax syntax="pascaligo">

```pascaligo group=lists
const empty_list : list (int) = nil // Or list []
const my_list : list (int) = list [1; 2; 2] // The head is 1
```

</Syntax>
<Syntax syntax="cameligo">

```cameligo group=lists
let empty_list : int list = []
let my_list : int list = [1; 2; 2] // The head is 1
```

</Syntax>
<Syntax syntax="reasonligo">

```reasonligo group=lists
let empty_list : list (int) = [];
let my_list : list (int) = [1, 2, 2]; // The head is 1
```

</Syntax>


# Adding to Lists

Lists can be augmented by adding an element before the head (or, in
terms of stack, by *pushing an element on top*).



<Syntax syntax="pascaligo">

```pascaligo group=lists
const larger_list : list (int) = 5 # my_list // [5;1;2;2]
```

</Syntax>
<Syntax syntax="cameligo">

```cameligo group=lists
let larger_list : int list = 5 :: my_list // [5;1;2;2]
```

</Syntax>
<Syntax syntax="reasonligo">

```reasonligo group=lists
let larger_list : list (int) = [5, ...my_list]; // [5,1,2,2]
```

</Syntax>



# Functional Iteration over Lists

A *functional iterator* is a function that traverses a data structure
and calls in turn a given function over the elements of that structure
to compute some value. Another approach is possible in PascaLIGO:
*loops* (see the relevant section).

There are three kinds of functional iterations over LIGO lists: the
*iterated operation*, the *map operation* (not to be confused with the
*map data structure*) and the *fold operation*.

## Iterated Operation over Lists

The first, the *iterated operation*, is an iteration over the list
with a unit return value. It is useful to enforce certain invariants
on the element of a list, or fail.



<Syntax syntax="pascaligo">

```pascaligo group=lists
function iter_op (const l : list (int)) : unit is
  block {
    function iterated (const i : int) : unit is
      if i > 3 then Unit else (failwith ("Below range.") : unit)
  } with List.iter (iterated, l)
```

> Note that `list_iter` is *deprecated*.

</Syntax>
<Syntax syntax="cameligo">

```cameligo group=lists
let iter_op (l : int list) : unit =
  let predicate = fun (i : int) -> assert (i > 3)
  in List.iter predicate l
```

</Syntax>
<Syntax syntax="reasonligo">

```reasonligo group=lists
let iter_op = (l : list (int)) : unit => {
  let predicate = (i : int) => assert (i > 3);
  List.iter (predicate, l);
};
```

</Syntax>


## Mapped Operation over Lists

We may want to change all the elements of a given list by applying to
them a function. This is called a *map operation*, not to be confused
with the map data structure.



<Syntax syntax="pascaligo">

```pascaligo group=lists
function increment (const i : int): int is i + 1

// Creates a new list with all elements incremented by 1
const plus_one : list (int) = List.map (increment, larger_list)
```

> Note that `list_map` is *deprecated*.

</Syntax>
<Syntax syntax="cameligo">

```cameligo group=lists
let increment (i : int) : int = i + 1

// Creates a new list with all elements incremented by 1
let plus_one : int list = List.map increment larger_list
```

</Syntax>
<Syntax syntax="reasonligo">

```reasonligo group=lists
let increment = (i : int) : int => i + 1;

// Creates a new list with all elements incremented by 1
let plus_one : list (int) = List.map (increment, larger_list);
```

</Syntax>



## Folded Operation over Lists

A *folded operation* is the most general of iterations. The folded
function takes two arguments: an *accumulator* and the structure
*element* at hand, with which it then produces a new accumulator. This
enables having a partial result that becomes complete when the
traversal of the data structure is over.



<Syntax syntax="pascaligo">

```pascaligo group=lists
function sum (const acc : int; const i : int): int is acc + i
const sum_of_elements : int = List.fold (sum, my_list, 0)
```

> Note that `list_fold` is *deprecated*.

</Syntax>
<Syntax syntax="cameligo">

```cameligo group=lists
let sum (acc, i: int * int) : int = acc + i
let sum_of_elements : int = List.fold sum my_list 0
```

</Syntax>
<Syntax syntax="reasonligo">

```reasonligo group=lists
let sum = ((result, i): (int, int)): int => result + i;
let sum_of_elements : int = List.fold (sum, my_list, 0);
```

</Syntax>


# List Length

Get the number of elements in a list.



<Syntax syntax="pascaligo">

```pascaligo
function size_of (const l : list (int)) : nat is List.length (l)
```

> Note that `size` is *deprecated*.

</Syntax>
<Syntax syntax="cameligo">

```cameligo
let size_of (l : int list) : nat = List.length l
```

</Syntax>
<Syntax syntax="reasonligo">

```reasonligo
let size_of = (l : list (int)) : nat => List.length (l);
```

</Syntax>