Gist 718a9dfea4f5678607c3

Gist 63d8bf6ae5ef850809c429573e052edc

This example demonstrates the computation of the 8181st Fibonacci number using an iterative method with Java’s `BigDecimal` class to handle arbitrarily large integer results. The code defines two functions: a naive recursive version that would be impractical for large inputs, and an optimized iterative loop that builds the sequence by adding the previous two values. The main method prints the final result for 8181, showcasing how `BigDecimal` enables precise arithmetic beyond standard primitive type limits.

HHsuHsiaoHsuan

55% match

XQuery Fibonacci

This example computes the 30th Fibonacci number using a recursive XQuery function defined in a separate module. It demonstrates XQuery 3.1’s switch expression and integer arithmetic through the `local:fib` function, which calls itself until it reaches the base cases of 0 and 1. The final result is returned directly without any visualization, showing a pure server-side computation. The source code is stored as a gist by CliffordAnderson.

53% match

Gist 95bc6a1fc08d5057b64b1b1dc24c211e

This example demonstrates a JavaScript array manipulation that generates all possible single-step neighbors for a four-digit lock combination. It creates two variations for each digit: one decrementing the value (with 0 wrapping to 9) and one incrementing it (with 9 wrapping to 0), storing all eight resulting arrays in a `neighbors` list. The code uses standard JavaScript array methods like `forEach` and `slice`, along with a ternary operator for edge-case wrapping, to construct the neighbor variations. The output, logged via `console.log`, shows a matrix of four-element arrays representing every adjacent combination state.

GGugaGongadze

Fibonacci with pattern matching in Julia

This example demonstrates a pattern-matching–based implementation of the Fibonacci sequence in Julia, showing how the `Match.jl` library's `@match` macro can express recursive function cases inline. The code defines a `fib` function that dispatches on the integer argument, with explicit base cases for 0 and 1 and a recursive fallback case for larger numbers. The example relies on Julia's `typeof` check to constrain inputs to non-negative `Int64` values, then uses `Match.jl`'s pattern syntax (e.g., `0 => 0`, `_ => fib(num-1) + fib(num-2)`) to handle each branch. The rendering is purely computational, with no external data sources or graphical output.

Fibonacci Sequence in Elm

This example presents an interactive Fibonacci sequence calculator built in Elm, starting with a simple recursive function and progressing through increasingly feature-rich versions. The code demonstrates Elm’s model-update-view architecture using `beginnerProgram`, with buttons firing `Increment` and `Decrement` messages that adjust a numeric counter. A text display shows the current model value and the corresponding Fibonacci number computed via a naive recursive definition. The visualization uses no external graphics library, instead relying on core Elm `Html` elements like `h2`, `button`, and `p` to render the interface and results.

Exercise: Implement FizzBuzz (Super Edition)

This example visualizes the transformation of an input array of integers through the FizzBuzz logic, displaying the resulting array where multiples of three are replaced with “Fizz,” multiples of five with “Buzz,” and multiples of both with “FizzBuzz.” The code, written in Ruby, implements two versions: an initial hash-based iteration that maps each index to its processed value, and a more concise solution using `Array#map!` to mutate the array in place. The visualization does not employ external libraries or rendering frameworks; instead, it relies solely on Ruby’s core array and hash methods to compute and output the final sequence, making the data flow explicit through the two algorithmic approaches.

EElaineYu

I like this example of grabbing elements from a List until you reach your desired sum.

This example demonstrates a functional approach to accumulating values from a numeric sequence, stopping once the running total exceeds 100. The code constructs a range of integers from 1 to 10,000 using Scala’s `1 to 10000` collection, then applies `takeWhile` with a closure that mutates an external `var sum`. The predicate adds each element to `sum` and tests the condition `sum <= 100`, effectively yielding the shortest prefix whose cumulative sum is just under the target. The visualization likely shows the resulting list and the final sum, highlighting how `takeWhile` short-circuits iteration without materializing the full sequence.

BBBischof

50% match

FizzBuzz with simple mapping operator

This example demonstrates the FizzBuzz logic through a simple mapping operator, rendering the output sequence from 1 to 15 as a compact text visualization. The code uses the XQuery 3.0 `!` mapping operator to iterate over each number, applying a chain of conditional `mod` checks to classify values as “fizz,” “buzz,” or “fizz buzz.” The data source is the hardcoded range (1 to 15), and the rendering approach is direct string output, with no external libraries or graphical APIs involved. It shows how a classic programming puzzle can be expressed concisely using functional-style iteration and conditional logic in a single line.