Array

The Array module provides comprehensive array manipulation capabilities for Soul, including functional programming methods, searching, sorting, and mathematical operations. It offers a JavaScript-like API for working with arrays efficiently.

Adding Elements

push - Add elements to end

Add one or more elements to the end of an array:

numbers = [1, 2, 3]
newLength = Array.push(numbers, 4, 5)
println(numbers)     // [1, 2, 3, 4, 5]
println(newLength)   // 5

unshift - Add elements to beginning

Add one or more elements to the beginning of an array:

numbers = [3, 4, 5]
newLength = Array.unshift(numbers, 1, 2)
println(numbers)     // [1, 2, 3, 4, 5]
println(newLength)   // 5

insert - Insert element at specific index

Insert an element at a specific position:

numbers = [1, 3, 4]
success = Array.insert(numbers, 1, 2)
println(numbers)   // [1, 2, 3, 4]
println(success)   // true

Removing Elements

pop - Remove last element

Remove and return the last element:

numbers = [1, 2, 3, 4, 5]
last = Array.pop(numbers)
println(numbers)   // [1, 2, 3, 4]
println(last)      // 5

shift - Remove first element

Remove and return the first element:

numbers = [1, 2, 3, 4, 5]
first = Array.shift(numbers)
println(numbers)   // [2, 3, 4, 5]
println(first)     // 1

remove - Remove first occurrence of value

Remove the first occurrence of a specific value:

numbers = [1, 2, 3, 2, 4]
removed = Array.remove(numbers, 2)
println(numbers)   // [1, 3, 2, 4]
println(removed)   // true

removeAt - Remove element at index

Remove element at a specific index:

numbers = [1, 2, 3, 4, 5]
removed = Array.removeAt(numbers, 2)
println(numbers)   // [1, 2, 4, 5]
println(removed)   // 3

clear - Remove all elements

Remove all elements from an array:

numbers = [1, 2, 3, 4, 5]
Array.clear(numbers)
println(numbers)   // []

Accessing Elements

get - Get element at index

Get element at a specific index:

numbers = [1, 2, 3, 4, 5]
element = Array.get(numbers, 2)
println(element)   // 3

set - Set element at index

Set element at a specific index:

numbers = [1, 2, 3, 4, 5]
success = Array.set(numbers, 2, 10)
println(numbers)   // [1, 2, 10, 4, 5]
println(success)   // true

first - Get first element

Get the first element:

numbers = [1, 2, 3, 4, 5]
first = Array.first(numbers)
println(first)     // 1

last - Get last element

Get the last element:

numbers = [1, 2, 3, 4, 5]
last = Array.last(numbers)
println(last)      // 5

at - Get element with negative index support

Get element at index with negative index support:

numbers = [1, 2, 3, 4, 5]
element = Array.at(numbers, -1)  // Last element
println(element)   // 5

element = Array.at(numbers, -2)  // Second to last
println(element)   // 4

Searching

indexOf - Find first index of value

Find the first index of a specific value:

numbers = [1, 2, 3, 2, 4]
index = Array.indexOf(numbers, 2)
println(index)     // 1

lastIndexOf - Find last index of value

Find the last index of a specific value:

numbers = [1, 2, 3, 2, 4]
index = Array.lastIndexOf(numbers, 2)
println(index)     // 3

includes - Check if array contains value

Check if an array contains a specific value:

numbers = [1, 2, 3, 4, 5]
contains = Array.includes(numbers, 3)
println(contains)  // true

find - Find first element matching predicate

Find the first element that matches a predicate:

numbers = [1, 2, 3, 4, 5]
found = Array.find(numbers, soul(x) { return x > 3 })
println(found)     // 4

findIndex - Find index of first match

Find the index of the first element matching a predicate:

numbers = [1, 2, 3, 4, 5]
index = Array.findIndex(numbers, soul(x) { return x > 3 })
println(index)     // 3

Transformation

map - Transform each element

Transform each element using a function:

numbers = [1, 2, 3, 4, 5]
squared = Array.map(numbers, soul(x) { return x * x })
println(squared)   // [1, 4, 9, 16, 25]

filter - Keep elements matching predicate

Keep only elements that match a predicate:

numbers = [1, 2, 3, 4, 5]
evens = Array.filter(numbers, soul(x) { return x % 2 == 0 })
println(evens)     // [2, 4]

reduce - Reduce to single value

Reduce array to a single value:

numbers = [1, 2, 3, 4, 5]
sum = Array.reduce(numbers, soul(acc, x) { return acc + x }, 0)
println(sum)       // 15

// Without initial value
product = Array.reduce(numbers, soul(acc, x) { return acc * x })
println(product)   // 120

forEach - Execute function for each element

Execute a function for each element:

numbers = [1, 2, 3, 4, 5]
Array.forEach(numbers, soul(x, i) { 
    println("Index " + i + ": " + x) 
})

flatMap - Map and flatten result

Map each element and flatten the result:

numbers = [1, 2, 3]
result = Array.flatMap(numbers, soul(x) { return [x, x * 2] })
println(result)    // [1, 2, 2, 4, 3, 6]

Array Manipulation

slice - Extract portion of array

Extract a portion of an array:

numbers = [1, 2, 3, 4, 5]
portion = Array.slice(numbers, 1, 4)
println(portion)   // [2, 3, 4]

// With negative indices
portion = Array.slice(numbers, -3, -1)
println(portion)   // [3, 4]

splice - Remove/replace elements

Remove or replace elements at a specific position:

numbers = [1, 2, 3, 4, 5]
removed = Array.splice(numbers, 1, 2, 10, 20)
println(numbers)   // [1, 10, 20, 4, 5]
println(removed)   // [2, 3]

concat - Combine arrays

Combine multiple arrays:

arr1 = [1, 2]
arr2 = [3, 4]
arr3 = [5, 6]
combined = Array.concat(arr1, arr2, arr3)
println(combined)  // [1, 2, 3, 4, 5, 6]

join - Join elements as string

Join array elements into a string:

words = ["Hello", "World", "Soul"]
text = Array.join(words, " ")
println(text)      // "Hello World Soul"

// With custom separator
csv = Array.join(words, ",")
println(csv)       // "Hello,World,Soul"

reverse - Reverse array in place

Reverse the order of elements:

numbers = [1, 2, 3, 4, 5]
Array.reverse(numbers)
println(numbers)   // [5, 4, 3, 2, 1]

sort - Sort array in place

Sort array elements:

numbers = [3, 1, 4, 1, 5, 9, 2, 6]
Array.sort(numbers)
println(numbers)   // [1, 1, 2, 3, 4, 5, 6, 9]

// Custom sort function
words = ["apple", "Banana", "cherry"]
Array.sort(words, soul(a, b) { 
    return a.toLowerCase().localeCompare(b.toLowerCase()) 
})

shuffle - Randomly shuffle array

Randomly shuffle array elements:

numbers = [1, 2, 3, 4, 5]
Array.shuffle(numbers)
println(numbers)   // [3, 1, 5, 2, 4] (random order)

unique - Remove duplicates

Remove duplicate values:

numbers = [1, 2, 2, 3, 3, 3, 4, 5]
unique = Array.unique(numbers)
println(unique)    // [1, 2, 3, 4, 5]

flatten - Flatten nested arrays

Flatten nested arrays:

nested = [[1, 2], [3, 4], [5, 6]]
flattened = Array.flatten(nested)
println(flattened) // [1, 2, 3, 4, 5, 6]

// With depth control
deepNested = [[[1, 2]], [[3, 4]]]
flattened = Array.flatten(deepNested, 2)
println(flattened) // [1, 2, 3, 4]

chunk - Split into chunks

Split array into chunks of specified size:

numbers = [1, 2, 3, 4, 5, 6, 7, 8]
chunks = Array.chunk(numbers, 3)
println(chunks)    // [[1, 2, 3], [4, 5, 6], [7, 8]]

zip - Combine arrays element-wise

Combine multiple arrays element-wise:

names = ["Alice", "Bob", "Charlie"]
ages = [25, 30, 35]
cities = ["New York", "London", "Tokyo"]

zipped = Array.zip(names, ages, cities)
println(zipped)    // [["Alice", 25, "New York"], ["Bob", 30, "London"], ["Charlie", 35, "Tokyo"]]

Testing

every - Test if all elements match predicate

Test if all elements match a predicate:

numbers = [2, 4, 6, 8, 10]
allEven = Array.every(numbers, soul(x) { return x % 2 == 0 })
println(allEven)   // true

some - Test if any element matches predicate

Test if any element matches a predicate:

numbers = [1, 3, 5, 7, 8]
hasEven = Array.some(numbers, soul(x) { return x % 2 == 0 })
println(hasEven)   // true

isEmpty - Check if array is empty

Check if an array is empty:

empty = []
numbers = [1, 2, 3]

println(Array.isEmpty(empty))    // true
println(Array.isEmpty(numbers))  // false

Utility Methods

length - Get array length

Get the length of an array:

numbers = [1, 2, 3, 4, 5]
len = Array.length(numbers)
println(len)       // 5

copy - Create shallow copy

Create a shallow copy of an array:

original = [1, 2, 3, 4, 5]
copied = Array.copy(original)
println(copied)    // [1, 2, 3, 4, 5]

fill - Fill array with value

Fill array with a specific value:

numbers = [1, 2, 3, 4, 5]
Array.fill(numbers, 0)
println(numbers)   // [0, 0, 0, 0, 0]

// Fill specific range
numbers = [1, 2, 3, 4, 5]
Array.fill(numbers, 99, 1, 4)
println(numbers)   // [1, 99, 99, 99, 5]

range - Create array of numbers

Create an array of numbers in a range:

// Range from 0 to 5
numbers = Array.range(5)
println(numbers)   // [0, 1, 2, 3, 4]

// Range from 1 to 10
numbers = Array.range(1, 10)
println(numbers)   // [1, 2, 3, 4, 5, 6, 7, 8, 9]

// Range with step
numbers = Array.range(0, 10, 2)
println(numbers)   // [0, 2, 4, 6, 8]

Mathematical Operations

sum - Calculate sum of numbers

Calculate the sum of numeric elements:

numbers = [1, 2, 3, 4, 5]
total = Array.sum(numbers)
println(total)     // 15

min - Find minimum value

Find the minimum numeric value:

numbers = [3, 1, 4, 1, 5, 9, 2, 6]
minimum = Array.min(numbers)
println(minimum)   // 1

max - Find maximum value

Find the maximum numeric value:

numbers = [3, 1, 4, 1, 5, 9, 2, 6]
maximum = Array.max(numbers)
println(maximum)   // 9

average - Calculate average

Calculate the average of numeric elements:

numbers = [1, 2, 3, 4, 5]
avg = Array.average(numbers)
println(avg)       // 3

Advanced Examples

Data Processing Pipeline

soul processData(data) {
    // Clean and transform data
    cleaned = Array.filter(data, soul(x) { return x != null })
    
    // Extract numeric values
    numbers = Array.map(cleaned, soul(x) { return parseFloat(x) })
    
    // Remove invalid numbers
    valid = Array.filter(numbers, soul(x) { return !isNaN(x) })
    
    // Calculate statistics
    stats = {
        count: Array.length(valid),
        sum: Array.sum(valid),
        min: Array.min(valid),
        max: Array.max(valid),
        average: Array.average(valid)
    }
    
    return stats
}

rawData = ["10", "20", null, "30", "invalid", "40"]
result = processData(rawData)
println(result)

Functional Programming Example

soul functionalExample() {
    numbers = Array.range(1, 21)  // [1, 2, 3, ..., 20]
    
    result = numbers
        |> Array.filter(soul(x) { return x % 2 == 0 })    // Even numbers
        |> Array.map(soul(x) { return x * x })             // Square them
        |> Array.filter(soul(x) { return x > 50 })         // Keep > 50
        |> Array.reduce(soul(acc, x) { return acc + x }, 0) // Sum them
    
    return result
}

total = functionalExample()
println(total)  // Sum of squares of even numbers > 50

Array Manipulation Workflow

soul arrayWorkflow() {
    // Create sample data
    data = Array.range(1, 11)  // [1, 2, 3, ..., 10]
    
    // Shuffle the data
    Array.shuffle(data)
    
    // Split into chunks
    chunks = Array.chunk(data, 3)
    
    // Process each chunk
    processed = Array.map(chunks, soul(chunk) {
        return Array.reduce(chunk, soul(acc, x) { return acc + x }, 0)
    })
    
    // Sort results
    Array.sort(processed)
    
    return processed
}

result = arrayWorkflow()
println("Processed chunks: " + result)

Search and Filter Operations

soul searchOperations() {
    users = [
        {name: "Alice", age: 25, city: "New York"},
        {name: "Bob", age: 30, city: "London"},
        {name: "Charlie", age: 35, city: "Tokyo"},
        {name: "Diana", age: 28, city: "Paris"}
    ]
    
    // Find users over 30
    mature = Array.filter(users, soul(user) { return user.age > 30 })
    
    // Get names of mature users
    names = Array.map(mature, soul(user) { return user.name })
    
    // Find specific user
    alice = Array.find(users, soul(user) { return user.name == "Alice" })
    
    // Check if any user is from Tokyo
    hasTokyoUser = Array.some(users, soul(user) { return user.city == "Tokyo" })
    
    return {
        matureUsers: names,
        alice: alice,
        hasTokyoUser: hasTokyoUser
    }
}

result = searchOperations()
println(result)

Best Practices

Use appropriate methods: Choose the right method for your use case
Handle empty arrays: Always check for empty arrays when needed
Immutable operations: Use methods that return new arrays for immutable operations
Performance considerations: Be aware of O(n) operations on large arrays
Function composition: Chain operations for cleaner code

// Good - functional approach
result = Array.range(1, 101)
    |> Array.filter(soul(x) { return x % 2 == 0 })
    |> Array.map(soul(x) { return x * x })
    |> Array.sum()

// Good - explicit error handling
soul safeArrayOperation(arr) {
    if (Array.isEmpty(arr)) {
        return null
    }
    
    return Array.reduce(arr, soul(acc, x) { return acc + x }, 0)
}

// Good - immutable operations
original = [1, 2, 3, 4, 5]
doubled = Array.map(original, soul(x) { return x * 2 })
// original remains unchanged

// Good - combining operations
words = ["hello", "world", "soul", "language"]
result = Array.filter(words, soul(w) { return w.length() > 4 })
    |> Array.map(soul(w) { return w.toUpperCase() })
    |> Array.join(" ")

The Array module provides a comprehensive set of tools for array manipulation in Soul, enabling both imperative and functional programming styles for working with collections of data.

​Array

​Adding Elements

​push - Add elements to end

​unshift - Add elements to beginning

​insert - Insert element at specific index

​Removing Elements

​pop - Remove last element

​shift - Remove first element

​remove - Remove first occurrence of value

​removeAt - Remove element at index

​clear - Remove all elements

​Accessing Elements

​get - Get element at index

​set - Set element at index

​first - Get first element

​last - Get last element

​at - Get element with negative index support

​Searching

​indexOf - Find first index of value

​lastIndexOf - Find last index of value

​includes - Check if array contains value

​find - Find first element matching predicate

​findIndex - Find index of first match

​Transformation

​map - Transform each element

​filter - Keep elements matching predicate

​reduce - Reduce to single value

​forEach - Execute function for each element

​flatMap - Map and flatten result

​Array Manipulation

​slice - Extract portion of array

​splice - Remove/replace elements

​concat - Combine arrays

​join - Join elements as string

​reverse - Reverse array in place

​sort - Sort array in place

​shuffle - Randomly shuffle array

​unique - Remove duplicates

​flatten - Flatten nested arrays

​chunk - Split into chunks

​zip - Combine arrays element-wise

​Testing

​every - Test if all elements match predicate

​some - Test if any element matches predicate

​isEmpty - Check if array is empty

​Utility Methods

​length - Get array length

​copy - Create shallow copy

​fill - Fill array with value

​range - Create array of numbers

​Mathematical Operations

​sum - Calculate sum of numbers

​min - Find minimum value

​max - Find maximum value

​average - Calculate average

​Advanced Examples

​Data Processing Pipeline

​Functional Programming Example

​Array Manipulation Workflow

​Search and Filter Operations

​Best Practices