mapValuesDeep with circular references detection

An approach to deep cloning objects in JavaScript

This example shows a recursive approach to deep cloning plain JavaScript objects, where each nested object is duplicated rather than shared by reference. The code defines a `cloneDeep` function that iterates over an object’s own enumerable properties using `Object.entries`, checks whether each value is an object with `typeof value === 'object'`, and if so, calls itself recursively; otherwise, it assigns the primitive value directly. The visualization likely demonstrates this process step by step, perhaps animating the traversal of a sample object tree. However, the code explicitly notes it does not support arrays, converting them into object-like structures with numeric keys, as seen in the comment about `['foo', 'bar']` becoming `{0: 'foo', 1: 'bar'}`. No external libraries are used—only native JavaScript methods and operators.

115Dkatz

65% match

sortArrayByKey.js

This example demonstrates a reusable utility for sorting arrays of objects by nested properties, such as `letter` or `values.value2`. The function `sortArrayByKey` first maps each element to extract the target value via dot-notation path traversal, then sorts the mapped indices using a comparator that handles string and numeric comparisons, and finally returns the reordered original objects. It uses plain JavaScript array methods (`map`, `sort`) without external libraries, and the included example generates random test data with `Math.random` to show sorting across different key depths.

MMAKIO135

56% match

fresh block tp6

This example demonstrates a series of experimental operations on JavaScript data structures, including `Map` and `Set`, within a D3.js v4 SVG visualization. It shows how duplicate entries in a `Map` with array keys are overwritten, and how a `Set` containing object literals treats them as unique despite identical properties. The code logs the size of the `Set` and iterates over its values, then converts a separate `Set` of mixed types into an array of node objects, adding an `id` property. The final section pushes similar objects into an array and logs its length and a property value, with no rendering beyond an initially blank SVG text element.

RRomyRatolojanahary

56% match

underscore-d3

This example pairs Underscore.js collection methods with their D3 and vanilla JavaScript equivalents, showing how functions like `each`, `map`, `reduce`, and `sortBy` translate across libraries. It demonstrates D3’s `d3.values`, `d3.entries`, `d3.map`, and `d3.nest` as alternatives for object iteration and grouping, while also highlighting pitfalls like lexicographic sorting and nondeterministic comparators. The code samples use small inline arrays and objects, such as `[1, 2, 3]` and `{one: 1, two: 2, three: 3}`, to illustrate each transformation clearly.

11wheel

56% match

This is so cool "Map function inside Map function"

This example generates a dense scatter of overlapping circles across an SVG canvas, with each circle’s position, fill color, and stroke determined by nested `Array.map` calls over a fixed array of numbers from 0 to 100. It uses React and ReactDOM to render the circles, computing `cx` and `cy` coordinates via `Math.random` multiplied by the array values, producing a chaotic, colorful grid-like pattern. The fill and stroke colors are derived from the same array indices using template literals, and all circles share a constant radius of 5 pixels.

This is so cool "Map function inside Map function"

This example produces a dense field of overlapping circles inside an SVG element. It shows how React’s `map` function can be nested to generate a 101x101 grid of points, where each circle’s position, fill color, and stroke are derived from the outer and inner loop indices combined with `Math.random`. The code uses React’s `ReactDOM.render` to place the SVG into the DOM. The resulting composition is a chaotic, colorful scatter of semi-transparent circles with varied strokes, driven purely by the nested mapping logic.

This is so cool "Map function inside Map function"

This example visualizes a grid of randomly positioned circles, where each circle’s placement and color are derived from nested `map` functions iterating over an array of integers from 0 to 100. Using React and ReactDOM, the SVG canvas (960x500) renders over 10,000 circles with varying radii, fill colors (based on RGB values from the loop index), and opacity. The code relies on React’s JSX syntax inside `index.js`, with SVG elements generated dynamically via nested `A.map()` calls, producing an emergent, colorful scatter pattern. The rendering is static, using no external libraries beyond React and React’s DOM bindings.

This is so cool "Map function inside Map function"

This example shows a dense scatter of colored circles rendered as an SVG inside a React application, where the circles overlap and vary in position and hue based on computed values. The visualization uses React’s `map` function nested twice to iterate over an array of numbers from 0 to 100, generating thousands of circle elements with random coordinates and RGB fill colors. Rendering relies on ReactDOM and raw SVG elements, with no external charting library, demonstrating how pure React can handle data-driven SVG generation.