Flatten

100%

✓ Published0🌍 Public

Last edited Nov 17, 2017

Created on Nov 17, 2017

This example demonstrates a JavaScript function that flattens a nested array structure into a single-level array. The code defines a `flat` function using `Array.reduce()`, which iterates through each element and checks if it is an array using `Array.isArray()`. If an element is an array, the function recursively calls itself on that sub-array and concatenates the result; otherwise, it directly concatenates the element. The visualization highlights the recursive reduction process, showing how nested data gets progressively consolidated until a completely flat result emerges.

AI-generated description

Similar vizzes

Loading thumbnail…

flatten Arrays

This example visualizes the recursive flattening of nested arrays into a single linear sequence. It shows a branching tree of values collapsing inward as the algorithm traverses each level, with individual elements animating into a final horizontal row. The code uses a custom `flatten` function that recursively iterates through nested arrays and pushes non-array values into a result array. Rendering relies on D3’s force simulation to position the collapsing nodes and transition paths, while the data itself is generated from arbitrary nested array structures defined in the source gist.

MMAKIO135

80% match

Loading thumbnail…

Flatten an array in Javascript without recursion

This example compares two JavaScript functions for flattening nested arrays, showing that the iterative approach is faster than the recursive one. The code uses the Benchmark.js library to time both methods on a nested array of integers, with the suite reporting each function’s operations per second. The recursive version, `flattenRecursive`, relies on `concat` and `forEach`, while the iterative `flatten` uses a `while` loop with `shift` to mutate the list in place. The output, logged via `console.log`, highlights the fastest method, demonstrating the performance trade-off between recursion and iteration.

HHypercubed

76% match

Loading thumbnail…

solution for http://toys.usvsth3m.com/javascript-under-pressure/ - ugly code

This example visualizes the structure of a JavaScript code challenge, using the `flatten` helper and `Object.prototype.toString` to identify nested arrays and numbers. It shows how the code recursively flattens an arbitrary array and sums all integers via `reduce`, while separate functions handle integer doubling, parity checks, file extension extraction, and longest string identification. The visualization likely renders the code’s control flow or function relationships, though the provided snippet does not include any drawing or charting libraries. The data source is the inline JavaScript functions from the gist, with no external rendering API visible.

TTBD

66% match

Loading thumbnail…

Arrays

This example showcases JavaScript array manipulation techniques, including `forEach`, `filter`, `sort`, and `reduce`. The code logs a computed sum from a hardcoded array `[1, 3, 5, 10, 30]` using the `reduce` method, while commented-out lines demonstrate additional array operations. It renders no visual output; instead, it serves as a minimal HTML page with embedded JavaScript, illustrating functional programming concepts for educational purposes. The example relies solely on native JavaScript APIs without external libraries or data sources.

LLewis Ward

65% match

Loading thumbnail…

[flatten list]铺平 list of lists #array

This example demonstrates two ways to flatten nested lists of arrays in Python. The first method uses a lambda function with a list comprehension to produce a new flattened list. The second method defines a generator function, `flatten`, which recursively yields items from nested iterables while ignoring strings and bytes, using the `Iterable` class from the `collections` module. The example data `[1, 2, [3, 4, [5, 6], 7], 8]` is processed by the generator, printing each number in order.

SShawn91

62% match

Loading thumbnail…

Gist 71504fe8a72f82b34a64b5586bf0a67f

This example demonstrates a nested-loop algorithm for removing duplicate values from an array, highlighting the logic behind the process. The code defines `removeDuplicatesNested`, which compares each element against every other element using a nested `for` loop, tracking potential matches with a `duplicateFound` flag. It pushes non-duplicate items into a new `returnArray`, though the inner loop’s condition incorrectly checks `returnArray` instead of the original `array`, leading to flawed duplicate detection. The implementation relies solely on standard JavaScript array methods and loops, with no external libraries or rendering APIs. The data source is the input array passed directly to the function, and the visualization focuses on the control flow and comparison steps rather than graphical output.

WWill Carter

61% match

Loading thumbnail…

Gist e8e67bab8a73e27d741e5a1d793bb5bd

This example demonstrates how to multiply all numbers within a nested array structure, flattening the multiplication across sub-arrays. The code uses nested `for` loops to iterate through each inner array, updating a running `product` variable. A test case with `[[1,2],[3,4],[5,6,7]]` is provided at the end, showing the expected result of 5040. The visualization highlights the logic of nested iteration and cumulative multiplication, with the data source being the hardcoded test array. No external libraries or rendering APIs are used, as the focus is on the algorithmic pattern in plain JavaScript.

DDocwali777

60% match

Loading thumbnail…

arrays

This example demonstrates fundamental JavaScript array operations through console logging, including iteration, filtering, sorting, mapping, and reducing. It shows a custom `range` function, a sorting comparator for numbers, and how to build objects from array entries using `reduce`. The code imports `ascending` and `descending` from D3 to illustrate library-based sorting, and relies on D3 version 7.3.0 for these utilities. The visualization itself is minimal—a single HTML page with a large styled message—while the core content lives in the script’s output.

SSamuele Greco

60% match