ssz proofread
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# [WIP] SimpleSerialize (SSZ) Spec
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This is the **work in progress** document to describe `simpleserialize`, the
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This is the **work in progress** document to describe `SimpleSerialize`, the
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current selected serialization method for Ethereum 2.0 using the Beacon Chain.
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This document specifies the general information for serializing and
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@ -13,19 +13,22 @@ deserializing objects and data types.
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* [Constants](#constants)
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* [Overview](#overview)
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+ [Serialize/Encode](#serializeencode)
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- [uint: 8/16/24/32/64/256](#uint-816243264256)
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- [uint](#uint)
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- [Bool](#bool)
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- [Address](#address)
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- [Hash](#hash)
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- [Bytes](#bytes)
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- [List/Vectors](#listvectors)
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- [Container](#container)
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+ [Deserialize/Decode](#deserializedecode)
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- [uint: 8/16/24/32/64/256](#uint-816243264256-1)
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- [uint](#uint-1)
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- [Bool](#bool-1)
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- [Address](#address-1)
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- [Hash](#hash-1)
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- [Bytes](#bytes-1)
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- [List/Vectors](#listvectors-1)
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- [Container](#container-1)
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+ [Tree Hash](#tree-hash)
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* [Implementations](#implementations)
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## About
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@ -53,13 +56,19 @@ overhead.
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| Constant | Value | Definition |
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|:---------------|:-----:|:--------------------------------------------------------------------------------------|
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| `LENGTH_BYTES` | 4 | Number of bytes used for the length added before a variable-length serialized object. |
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| `CHUNK_SIZE` | 128 | The chuck size of the Merkle tree leaf. |
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## Overview
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### Serialize/Encode
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#### uint: 8/16/24/32/64/256
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#### uint
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| uint Type | Usage |
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|:---------:|:------------------------------------------------|
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| `uintN` | Type of arbitrary `N` bits unsigned integer. |
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Convert directly to bytes the size of the int. (e.g. ``uint16 = 2 bytes``)
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return value.to_bytes(buffer_size, 'big')
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```
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#### bool
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#### Bool
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Convert directly to a single 0x00 or 0x01 byte.
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#### Address
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The `address` should already come as a hash/byte format. Ensure that length is
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**20**.
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The `address` should already come as a hash/byte format. Ensure that length is **20**.
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| Check to perform | Code |
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|:-----------------------|:---------------------|
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For general `bytes` type:
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1. Get the length/number of bytes; Encode into a `4-byte` integer.
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2. Append the value to the length and return: ``[ length_bytes ] + [
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value_bytes ]``
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2. Append the value to the length and return: ``[ length_bytes ] + [ value_bytes ]``
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| Check to perform | Code |
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|:-------------------------------------|:-----------------------|
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|:-------------------------|:-----------------------------------------------------------|
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| Ensure sufficient length | ``length(rawbytes) >= current_index + deserialize_length`` |
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#### uint: 8/16/24/32/64/256
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#### uint
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Convert directly from bytes into integer utilising the number of bytes the same
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size as the integer length. (e.g. ``uint16 == 2 bytes``)
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#### Address
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Return the 20 bytes.
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Return the 20-byte deserialized address.
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```python
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assert(len(rawbytes) >= current_index + 20)
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To deserialize:
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1. Get the names of the container's fields and sort them.
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2. For each name in the sorted list, attempt to deserialize a value for that type. Collect these values as they will be used to construct an instance of the container.
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3. Construct a container instance after successfully consuming the entire subset of the stream for the serialized container.
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**Example in Python**
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return typ(**values), item_index
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```
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### Tree_hash
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### Tree Hash
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The below `tree_hash` algorithm is defined recursively in the case of lists and containers, and it outputs a value equal to or less than 32 bytes in size. For the final output only (ie. not intermediate outputs), if the output is less than 32 bytes, right-zero-pad it to 32 bytes. The goal is collision resistance *within* each type, not between types.
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We define `hash(x)` as `BLAKE2b-512(x)[0:32]`.
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#### uint: 8/16/24/32/64/256, bool, address, hash32
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#### `uintN`, `bool`, `address`, `hash32`
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Return the serialization of the value.
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#### bytes, hash96
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#### `bytes`, `hashN`
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Return the hash of the serialization of the value.
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#### List/Vectors
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First, we define some helpers and then the Merkle tree function. The constant `CHUNK_SIZE` is set to 128.
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First, we define some helpers and then the Merkle tree function.
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```python
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# Merkle tree hash of a list of homogenous, non-empty items
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if len(lst) == 0:
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# Handle empty list case
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chunkz = [b'\x00' * CHUNKSIZE]
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elif len(lst[0]) < CHUNKSIZE:
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chunkz = [b'\x00' * CHUNK_SIZE]
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elif len(lst[0]) < CHUNK_SIZE:
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# See how many items fit in a chunk
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items_per_chunk = CHUNKSIZE // len(lst[0])
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items_per_chunk = CHUNK_SIZE // len(lst[0])
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# Build a list of chunks based on the number of items in the chunk
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chunkz = [b''.join(lst[i:i+items_per_chunk]) for i in range(0, len(lst), items_per_chunk)]
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# Tree-hash
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while len(chunkz) > 1:
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if len(chunkz) % 2 == 1:
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chunkz.append(b'\x00' * CHUNKSIZE)
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chunkz.append(b'\x00' * CHUNK_SIZE)
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chunkz = [hash(chunkz[i] + chunkz[i+1]) for i in range(0, len(chunkz), 2)]
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# Return hash of root and length data
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