DFS backtracking

Follow a Letter-Tile Route

Original & variantWord Search ↗

Original examples and wording. The question below states the exact input format and output contract.

01. The question

Find whether a requested lowercase word can be traced on a letter board using side-sharing cells. A cell may be used only once in a route. Return true or false; diagonal steps are not allowed.

Letter tiles2 rows × 3 columns
r / c012
0cat
1rre

A valid route is [0,0] → [0,1] → [1,1] → [1,2]. Each tile is used once.

Before revealing the idea, predict the result and describe what information you would need to track.

02. Worked example

Inputboard = [["c","a","t"],["r","r","e"]], word = "care"

Outputtrue

  1. Start with c at [0,0].
  2. Follow a, then r below it, then e to the right.
  3. When a branch fails, release its tile before trying another branch.

Try your code

Define solve(data, parameter="") and return your result. Your code runs locally, not on a server.

Edit your test cases

Use 1-10 objects with data and an optional string parameter. Expected outputs are computed from the lesson. An optional expected field must be correct.

Input contract & reference code

Example data: [["c","a","t"],["r","r","e"]]. Parameter: "care". Numeric parameters arrive as strings; convert them with int(parameter) when needed.

The example and generated cases use the question’s exact variant. This checks behavior on a small test batch—not performance on every possible input.

Python runtime notices

Python downloads only when you run code, using compressed runtime assets. Code is not saved or uploaded. Enable JavaScript to run it.

Five-second execution limit per batch. Standard-library Python only; additional packages and network access are unavailable. Stop ends execution without blocking the lesson.

03. The idea

Try sketching your own approach first. What would you track, and why would it work?

Reveal the idea
  1. Try every matching start cell.
  2. Mark the current route, then explore orthogonal neighbors for the next letter.
  3. Undo the mark on return so other routes can use the tile.

04. Watch it happen

Use Step to move slowly, or Play to follow the whole trace. Change a preset or load your own input.

Input & settings

A rectangular 1-4 by 1-4 board of lowercase letters. Word: 0-6 letters. Move orthogonally; never reuse a tile.

Red = current item / blue = active window or cells / green = completed work. A value docks at its actual destination; the original input stays unchanged. Positions start at 0.

Working state / what changes

Ready to begin

Enable JavaScript to step through the animation. The worked example and solution below remain readable without it.

Python / why it changes

The line behind the step

def tile_route(board, word):
    if not word:
        return True
    rows, cols = len(board), len(board[0])
    used = set()
    def search(r, c, index):
        if not (0 <= r < rows and 0 <= c < cols):
            return False
        if (r, c) in used or board[r][c] != word[index]:
            return False
        used.add((r, c))
        found = index == len(word) - 1
        if not found:
            for dr, dc in [(1, 0), (-1, 0), (0, 1), (0, -1)]:
                if search(r + dr, c + dc, index + 1):
                    found = True
                    break
        used.remove((r, c))
        return found
    for r in range(rows):
        for c in range(cols):
            if search(r, c, 0):
                return True
    return False
How to use this walkthrough

Hover or focus a control for its label. Play forms the input and follows values into the working state. Step shows one change; Back and the slider restore exact snapshots. Reduced motion uses instant updates. Saved snapshots and sorted heap displays are teaching overhead, not algorithm complexity.

05. Python solution

def tile_route(board, word):
    if not word:
        return True
    rows, cols = len(board), len(board[0])
    used = set()
    def search(r, c, index):
        if not (0 <= r < rows and 0 <= c < cols):
            return False
        if (r, c) in used or board[r][c] != word[index]:
            return False
        used.add((r, c))
        found = index == len(word) - 1
        if not found:
            for dr, dc in [(1, 0), (-1, 0), (0, 1), (0, -1)]:
                if search(r + dr, c + dc, index + 1):
                    found = True
                    break
        used.remove((r, c))
        return found
    for r in range(rows):
        for c in range(cols):
            if search(r, c, 0):
                return True
    return False

06. Cost & edge cases

Time
O(RC × 4^L) conservative upper bound
Space
O(min(L, RC)) for the route and recursion
  • An empty word returns true.
  • Returning to the same tile is forbidden.
  • Board is not modified; failed paths release their marks.

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