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Co-Authored-By: JustinDrake <drakefjustin@gmail.com>
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jannikluhn 2019-02-27 17:15:46 +01:00 committed by GitHub
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@ -64,7 +64,7 @@ We reccursively define the `serialize` function which consumes an object `object
```python ```python
assert N in [8, 16, 32, 64, 128, 256] assert N in [8, 16, 32, 64, 128, 256]
return object.to_bytes(N / 8, 'little') return object.to_bytes(N // 8, 'little')
``` ```
#### `bool` #### `bool`
@ -111,7 +111,7 @@ Given a type, serialization is an injective function from objects of that type t
We first define helper functions: We first define helper functions:
* `pack`: Given ordered objects of the same basic type, serialize them, pack them into 32-byte chunks, right-pad the last chunk with zero bytes, and return the chunks. * `pack`: Given ordered objects of the same basic type, serialize them, pack them into 32-byte chunks, right-pad the last chunk with zero bytes, and return the chunks.
* `merkleize`: Given ordered 32-byte chunks, right-pad them with zero chunks to the closest power of two, Merkleize the chunks, and return the root. * `merkleize`: Given ordered 32-byte chunks, right-pad them with zero chunks to the next power of two, Merkleize the chunks, and return the root.
* `mix_in_length`: Given a Merkle root `root` and a length `length` (32-byte little-endian serialization) return `hash(root + length)`. * `mix_in_length`: Given a Merkle root `root` and a length `length` (32-byte little-endian serialization) return `hash(root + length)`.
Let `object` be an object. We now define object Merkleization `hash_tree_root(object)` recursively: Let `object` be an object. We now define object Merkleization `hash_tree_root(object)` recursively: