--- layout: page published: true noToc: false noComments: false noDate: false title: Fun - Arrays in Fun subtitle: Working with arrays, creation, indexing/slicing, iteration patterns, helpers, and idioms. description: Working with arrays, creation, indexing/slicing, iteration patterns, helpers, and idioms. permalink: /documentation/arrays/ lang: en tags: - arrays - creation - helpers - idioms - indexing - iteration - patterns - slicing --- This guide focuses on arrays: creation, indexing, mutation, iteration, slicing, and common gotchas. It complements the quick overview in types.md with a deeper, example‑driven treatment. ## What is an array? - Ordered, zero‑indexed, mutable sequence of values. - Can hold mixed types (numbers, strings, maps, arrays, …) in the same array. - Bounds‑checked indexing; out‑of‑range access is a runtime error. ## Creating arrays
// literals a = [1, 2, 3] b = ["alpha", "beta"] empty = [] // nested grid = [[1,2], [3,4]] print(typeof(a)) // "array" print(len(a)) // 3Tip: Prefer square‑bracket literals for clarity and performance versus building via repeated push in a hot loop. ## Indexing (0‑based) and assignment
a = [10, 20, 30] print(a[0]) // 10 print(a[2]) // 30 // update in place a[1] = 42 print(a) // [10, 42, 30]Notes: - Valid indices are 0..len(a)-1. Using an invalid index raises a runtime error. - Assignment updates the existing array; references pointing to it observe the change. ## Appending, popping, inserting, removing
a = [1] // append to end; returns new length push(a, 7) // => 2, a is now [1, 7] // pop last element; returns the removed value v = apop(a) // v = 7, a is now [1] // insert at index (shifts elements to the right) a = [1, 2, 3] insert(a, 1, 99) // a => [1, 99, 2, 3] // remove at index (shifts left) remove(a, 2) // a => [1, 99, 3]## Slicing and concatenation
a = [0,1,2,3,4] // slice(startInclusive, endExclusive) head = slice(a, 0, 3) // [0,1,2] mid = slice(a, 1, 4) // [1,2,3] // concat: join two arrays b = ["x", "y"] ab = concat(a, b) // [0,1,2,3,4,"x","y"]Slicing returns a new array. The original is unchanged. ## Iteration patterns
a = ["a", "b", "c"]
// index‑based loop
for i = 0; i < len(a); i = i + 1 {
print(a[i])
}
// enumerate helper (if available in your stdlib setup)
#include as it
for pair in it.enumerate(a) {
idx = pair[0]
val = pair[1]
print(to_string(idx) + ":" + val)
}
## Copying vs. referencing
Arrays are reference types. Assigning just copies the reference, not the contents:
orig = [1, 2] alias = orig // points to the same array alias[0] = 9 print(orig) // [9, 2] // create a shallow copy via slice copy = slice(orig, 0, len(orig)) copy[1] = 7 print(orig) // [9, 2] print(copy) // [9, 7]Shallow copies duplicate the top‑level array but not nested structures. ## Equality
print([1,2] == [1,2]) // true print([1,2] == [2,1]) // falseArray equality compares length and element‑wise equality recursively. ## Common utilities Depending on your build/stdlib configuration, these helpers may be available: - len(a): number of elements - push(a, v), apop(a) - insert(a, idx, v), remove(a, idx) - slice(a, start, end) - concat(a, b) - find(a, v): index or -1 - contains(a, v): 1 or 0 Check your lib directory (e.g., lib/utils) for additional helpers. ## Error handling and bounds
a = [0] // a[1] is out of range → runtime errorTips: - Guard indices: if i < 0 or i >= len(a) { /* handle */ } - Use remove/insert carefully inside loops; indices of following items change. ## Interop with maps and strings
// arrays of maps
users = [ {"name":"Ada"}, {"name":"Lin"} ]
print(users[1]["name"]) // Lin
// split/join patterns depend on your stdlib
#include as su // adjust if present in your tree
parts = su.split("a,b,c", ",") // ["a","b","c"]
csv = su.join(parts, ",") // "a,b,c"
## Performance tips
- Preallocate by building from literals or chunked appends rather than one‑by‑one in very tight loops.
- Prefer index loops over repeated remove/insert in the middle of large arrays.
- Use slice to copy only when necessary; keep references for read‑only sharing.
## Examples
// filter even numbers
src = [0,1,2,3,4,5]
dst = []
for i = 0; i < len(src); i = i + 1 {
v = src[i]
if v % 2 == 0 { push(dst, v) }
}
print(dst) // [0,2,4]
// flatten one level
nested = [[1,2], [3], [], [4,5]]
flat = []
for i = 0; i < len(nested); i = i + 1 {
row = nested[i]
for j = 0; j < len(row); j = j + 1 {
push(flat, row[j])
}
}
print(flat) // [1,2,3,4,5]
## See also
- types.md — broader overview of core types with quick array examples.
- examples/ — many scripts operate on arrays; try play.fun to explore.