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48. Merkle trees in pure Python

Building a simple Merkle root from leaf hashes.

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A Merkle tree lets you prove membership of an item in a large set with a small proof, by repeatedly hashing pairs of nodes up to a single root.

python
import hashlib

def h(data: bytes) -> bytes:
    return hashlib.sha256(data).digest()

def merkle_root(leaves: list[bytes]) -> bytes:
    if not leaves:
        return b""
    level = [h(leaf) for leaf in leaves]
    while len(level) > 1:
        if len(level) % 2 == 1:
            level.append(level[-1])   # duplicate last if odd count
        level = [h(level[i] + level[i + 1]) for i in range(0, len(level), 2)]
    return level[0]

Duplicating the last node when the level has an odd count is one common convention (others exist, e.g. promoting it unchanged); the important part is that both the prover and verifier agree on the same rule.

How to study this topic

  1. 1. Read the explanation once end to end, skipping the code.
  2. 2. Re-read the code snippets and say out loud what each line does.
  3. 3. Answer the quiz without scrolling back — that is the real check.
  4. 4. Read every explanation, even for the answers you got right.

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Check your understanding

  1. 1. What is the general idea of a Merkle tree?

  2. 2. In the code above, what happens when a level has an odd number of nodes?

  3. 3. Why must both hashing sides agree on the same odd-node convention?

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