Obligatory wordle coding

100%

Obligatory wordle coding

✓ Published0🌍 Public

Last edited Feb 14, 2022

Created on Feb 14, 2022

This example shows a command-line Wordle solver that filters the remaining possible five-letter words based on prior guesses and their result patterns. It uses the `click` library to parse comma-separated guesses and results, then computes letter constraints through Python list comprehensions and the `itertools.product` function to generate candidate words. The script prints all possibilities, or a message indicating too many when the combination count exceeds 10,000, leveraging the `math.prod` function for efficient count calculation.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist 2ddd23e185defb909f5b269d22e7849e

This example demonstrates a Wordle-solving filter tool that narrows down possible answer words based on player feedback. It shows how the filter function progressively eliminates candidates using three types of constraints: letters known to be absent, letters confirmed in specific positions, and letters that are present but misplaced. The code uses pandas DataFrame operations with string containment checks and column-based equality comparisons to refine the word list. While no visualization library is used, the logic relies on pandas’ vectorized string methods and boolean indexing to efficiently process the word list, making it a practical data-cleaning component for a word-guessing game interface.

CConorAspell

71% match

Loading thumbnail…

Gist 901f4da6657c981e68620127130e3f23

This example presents a heuristic strategy for a word-guessing game, prioritizing candidate words based on letter values and positional constraints. The visualization shows a sorted list of possible words, with scores derived from Scrabble-like letter values, adjusted by a penalty for duplicate letters and a bonus for letters already eliminated from the vocabulary. The code uses pandas to map scores across columns (first through fifth) and applies custom logic via `special_heuristic` to filter vacant positions and remaining letters. The approach relies on DataFrame operations for sorting and filtering, with no external visualization library, as the output is a single recommended word.

CConorAspell

64% match

Loading thumbnail…

Make a Word

The visualization is a word-guessing game that displays seven letters and prompts the user to submit a valid word. The user can guess a word, shuffle the letters, or generate a new random set of letters. The game tracks the number of wins and losses, and shows a message indicating whether each guess is correct or wrong. The code uses plain JavaScript DOM methods like `querySelector`, `getElementById`, and `innerHTML` to manage the interface, with the letter set generated by combining random consonants and vowels.

FFrankieFabuloso

61% match

Loading thumbnail…

A solution to a codefights daily puzzle that was amusing and might be useful to reference

This example demonstrates a Python solution to a Codefights puzzle that decompresses a run-length encoded string, sorts its letters, and returns the kth character. The visualization shows how the algorithm groups identical letters using `itertools.groupby` and `sorted`, then aggregates their counts with `sum`. It uses `re.findall` to parse letter-number pairs and a pairwise iteration to handle adjacent matches. The code returns -1 for invalid inputs or when k exceeds the total character count, illustrating a compact approach to string compression challenges.

BBBischof

59% match

Loading thumbnail…

find all the words that can be built using the letters in a list, as in Scrabble™.

This example finds all valid words that can be formed from a given set of letters, as in Scrabble™. It reads a system dictionary file (`/usr/share/dict/words`) and iterates through each word, checking whether every letter in the candidate word appears in the tile string and that no letter is used more times than it appears in the tiles. The core logic uses Python’s `set.issubset` for letter containment and `str.count` to verify letter frequencies. The user supplies the tile letters as a command-line argument, and matching words are printed to standard output.

Aamundo

58% match

Loading thumbnail…

Gist 0d3ef677475862ba439fd5dacfd4a60d

The visualization maps the scoring patterns of five-letter words, showing how letter positions and letter values contribute to total word scores. It displays a grid or distribution of words, likely sorted or clustered by score, with each word’s score calculated from per-letter point values and a bonus for non-repeated letters. The implementation uses Python’s pandas to load and transform the word list, adding columns for each letter’s position and score, while the letter-to-value mapping follows standard Scrabble tile distributions. The final score sums individual letter scores and adds a two-point bonus when all letters are unique, as seen in the `duplicates` logic. The rendering itself is not shown in the code, but the data processing relies on pandas dataframes and string operations to derive the visualization’s underlying dataset.

CConorAspell

57% match

Loading thumbnail…

Fork of wordsearch fun

This interactive word search puzzle displays a 15x15 grid of letters with 15 programming-related terms hidden horizontally, vertically, or diagonally. Players click and drag across the grid to select letter sequences, with valid words receiving permanent green highlighting and appearing crossed off in the word list. The JavaScript implementation uses DOM manipulation and event listeners for mouse interactions, while CSS grid layout structures the puzzle board. A "New Game" button regenerates the puzzle with randomly placed words and fills remaining cells with random letters.

KKareena

56% match

Loading thumbnail…

wordsearch fun

A word search puzzle presents a 15x15 grid of letters alongside a list of hidden words. Players click and drag across the grid to select letters, with valid horizontal, vertical, or diagonal selections highlighted as they are traced. The game uses vanilla JavaScript to generate the grid, placing words randomly and filling empty cells with random letters. Found words are marked in the grid and crossed off the list, with a "New Game" button resetting the puzzle for a fresh challenge.

KKareena

56% match