Merge pull request #962 from ethereum/ssz-static-testing

SSZ static testing [blocked by #960]
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Danny Ryan 2019-04-18 21:10:51 -06:00 committed by GitHub
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19 changed files with 307 additions and 22 deletions

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@ -62,4 +62,9 @@ def get_spec(file_name: str) -> List[str]:
code_lines.append('') code_lines.append('')
for type_line in ssz_type: for type_line in ssz_type:
code_lines.append(' ' + type_line) code_lines.append(' ' + type_line)
code_lines.append('')
code_lines.append('ssz_types = [' + ', '.join([f'\'{ssz_type_name}\'' for (ssz_type_name, _) in type_defs]) + ']')
code_lines.append('')
code_lines.append('def get_ssz_type_by_name(name: str) -> SSZType: return globals()[name]')
code_lines.append('')
return code_lines return code_lines

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@ -175,3 +175,24 @@ To prevent parsing of hundreds of different YAML files to test a specific test t
│   ... <--- more handlers │   ... <--- more handlers
... <--- more test types ... <--- more test types
``` ```
## Note for implementers
The basic pattern for test-suite loading and running is:
Iterate suites for given test-type, or sub-type (e.g. `operations > deposits`):
1. Filter test-suite, options:
- Config: Load first few lines, load into YAML, and check `config`, either:
- Pass the suite to the correct compiled target
- Ignore the suite if running tests as part of a compiled target with different configuration
- Load the correct configuration for the suite dynamically before running the suite
- Select by file name
- Filter for specific suites (e.g. for a specific fork)
2. Load the YAML
- Optionally translate the data into applicable naming, e.g. `snake_case` to `PascalCase`
3. Iterate through the `test_cases`
4. Ask test-runner to allocate a new test-case (i.e. objectify the test-case, generalize it with a `TestCase` interface)
Optionally pass raw test-case data to enable dynamic test-case allocation.
1. Load test-case data into it.
2. Make the test-case run.

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@ -1,15 +0,0 @@
# SSZ tests
SSZ has changed throughout the development of ETH 2.0.
## Contents
A minimal but useful series of tests covering `uint` encoding and decoding is provided.
This is a direct port of the older SSZ `uint` tests (minus outdated test cases).
[uint test format](./uint.md).
Note: the current phase-0 spec does not use larger uints, and uses byte vectors (fixed length) instead to represent roots etc.
The exact uint lengths to support may be redefined in the future.
Extension of the SSZ tests collection is planned, see CI/testing issues for progress tracking.

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@ -0,0 +1,20 @@
# SSZ, generic tests
This set of test-suites provides general testing for SSZ:
to instantiate any container/list/vector/other type from binary data.
Since SSZ is in a development-phase, not the full suite of features is covered yet.
Note that these tests are based on the older SSZ package.
The tests are still relevant, but limited in scope:
more complex object encodings have changed since the original SSZ testing.
A minimal but useful series of tests covering `uint` encoding and decoding is provided.
This is a direct port of the older SSZ `uint` tests (minus outdated test cases).
[uint test format](./uint.md).
Note: the current phase-0 spec does not use larger uints, and uses byte vectors (fixed length) instead to represent roots etc.
The exact uint lengths to support may be redefined in the future.
Extension of the SSZ tests collection is planned, with an update to the new spec-maintained `minimal_ssz.py`,
see CI/testing issues for progress tracking.

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@ -0,0 +1,8 @@
# SSZ, static tests
This set of test-suites provides static testing for SSZ:
to instantiate just the known ETH-2.0 SSZ types from binary data.
This series of tests is based on the spec-maintained `minimal_ssz.py`, i.e. fully consistent with the SSZ spec.
Test format documentation can be found here: [core test format](./core.md).

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@ -0,0 +1,23 @@
# Test format: SSZ static types
The goal of this type is to provide clients with a solid reference how the known SSZ objects should be encoded.
Each object described in the Phase-0 spec is covered.
This is important, as many of the clients aiming to serialize/deserialize objects directly into structs/classes
do not support (or have alternatives for) generic SSZ encoding/decoding.
This test-format ensures these direct serializations are covered.
## Test case format
```yaml
type_name: string -- string, object name, formatted as in spec. E.g. "BeaconBlock"
value: dynamic -- the YAML-encoded value, of the type specified by type_name.
serialized: bytes -- string, SSZ-serialized data, hex encoded, with prefix 0x
root: bytes32 -- string, hash-tree-root of the value, hex encoded, with prefix 0x
```
## Condition
A test-runner can implement the following assertions:
- Serialization: After parsing the `value`, SSZ-serialize it: the output should match `serialized`
- Hash-tree-root: After parsing the `value`, Hash-tree-root it: the output should match `root`
- Deserialization: SSZ-deserialize the `serialized` value, and see if it matches the parsed `value`

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@ -44,4 +44,4 @@ def ssz_uint_bounds_suite(configs_path: str) -> gen_typing.TestSuiteOutput:
if __name__ == "__main__": if __name__ == "__main__":
gen_runner.run_generator("ssz", [ssz_random_uint_suite, ssz_wrong_uint_suite, ssz_uint_bounds_suite]) gen_runner.run_generator("ssz_generic", [ssz_random_uint_suite, ssz_wrong_uint_suite, ssz_uint_bounds_suite])

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@ -0,0 +1,4 @@
# SSZ-static
The purpose of this test-generator is to provide test-vectors for the most important applications of SSZ:
the serialization and hashing of ETH 2.0 data types

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@ -0,0 +1,79 @@
from random import Random
from eth2spec.debug import random_value, encode
from eth2spec.phase0 import spec
from eth2spec.utils.minimal_ssz import hash_tree_root, serialize
from eth_utils import (
to_tuple, to_dict
)
from gen_base import gen_runner, gen_suite, gen_typing
from preset_loader import loader
MAX_BYTES_LENGTH = 100
MAX_LIST_LENGTH = 10
@to_dict
def create_test_case(rng: Random, name: str, mode: random_value.RandomizationMode, chaos: bool):
typ = spec.get_ssz_type_by_name(name)
value = random_value.get_random_ssz_object(rng, typ, MAX_BYTES_LENGTH, MAX_LIST_LENGTH, mode, chaos)
yield "type_name", name
yield "value", encode.encode(value, typ)
yield "serialized", '0x' + serialize(value).hex()
yield "root", '0x' + hash_tree_root(value).hex()
@to_tuple
def ssz_static_cases(rng: Random, mode: random_value.RandomizationMode, chaos: bool, count: int):
for type_name in spec.ssz_types:
for i in range(count):
yield create_test_case(rng, type_name, mode, chaos)
def get_ssz_suite(seed: int, config_name: str, mode: random_value.RandomizationMode, chaos: bool, cases_if_random: int):
def ssz_suite(configs_path: str) -> gen_typing.TestSuiteOutput:
# Apply changes to presets, this affects some of the vector types.
presets = loader.load_presets(configs_path, config_name)
spec.apply_constants_preset(presets)
# Reproducible RNG
rng = Random(seed)
random_mode_name = mode.to_name()
suite_name = f"ssz_{config_name}_{random_mode_name}{'_chaos' if chaos else ''}"
count = cases_if_random if chaos or mode.is_changing() else 1
print(f"generating SSZ-static suite ({count} cases per ssz type): {suite_name}")
return (suite_name, "core", gen_suite.render_suite(
title=f"ssz testing, with {config_name} config, randomized with mode {random_mode_name}{' and with chaos applied' if chaos else ''}",
summary="Test suite for ssz serialization and hash-tree-root",
forks_timeline="testing",
forks=["phase0"],
config=config_name,
runner="ssz",
handler="static",
test_cases=ssz_static_cases(rng, mode, chaos, count)))
return ssz_suite
if __name__ == "__main__":
# [(seed, config name, randomization mode, chaos on/off, cases_if_random)]
settings = []
seed = 1
for mode in random_value.RandomizationMode:
settings.append((seed, "minimal", mode, False, 30))
seed += 1
settings.append((seed, "minimal", random_value.RandomizationMode.mode_random, True, 30))
seed += 1
settings.append((seed, "mainnet", random_value.RandomizationMode.mode_random, False, 5))
seed += 1
print("Settings: %d, SSZ-types: %d" % (len(settings), len(spec.ssz_types)))
gen_runner.run_generator("ssz_static", [
get_ssz_suite(seed, config_name, mode, chaos, cases_if_random)
for (seed, config_name, mode, chaos, cases_if_random) in settings
])

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@ -0,0 +1,4 @@
eth-utils==1.4.1
../../test_libs/gen_helpers
../../test_libs/config_helpers
../../test_libs/pyspec

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@ -3,6 +3,8 @@ from eth2spec.utils.minimal_ssz import hash_tree_root
def encode(value, typ, include_hash_tree_roots=False): def encode(value, typ, include_hash_tree_roots=False):
if isinstance(typ, str) and typ[:4] == 'uint': if isinstance(typ, str) and typ[:4] == 'uint':
if typ[4:] == '128' or typ[4:] == '256':
return str(value)
return value return value
elif typ == 'bool': elif typ == 'bool':
assert value in (True, False) assert value in (True, False)

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@ -0,0 +1,137 @@
from random import Random
from typing import Any
from enum import Enum
UINT_SIZES = [8, 16, 32, 64, 128, 256]
basic_types = ["uint%d" % v for v in UINT_SIZES] + ['bool', 'byte']
random_mode_names = ["random", "zero", "max", "nil", "one", "lengthy"]
class RandomizationMode(Enum):
# random content / length
mode_random = 0
# Zero-value
mode_zero = 1
# Maximum value, limited to count 1 however
mode_max = 2
# Return 0 values, i.e. empty
mode_nil_count = 3
# Return 1 value, random content
mode_one_count = 4
# Return max amount of values, random content
mode_max_count = 5
def to_name(self):
return random_mode_names[self.value]
def is_changing(self):
return self.value in [0, 4, 5]
def get_random_ssz_object(rng: Random, typ: Any, max_bytes_length: int, max_list_length: int, mode: RandomizationMode, chaos: bool) -> Any:
"""
Create an object for a given type, filled with random data.
:param rng: The random number generator to use.
:param typ: The type to instantiate
:param max_bytes_length: the max. length for a random bytes array
:param max_list_length: the max. length for a random list
:param mode: how to randomize
:param chaos: if true, the randomization-mode will be randomly changed
:return: the random object instance, of the given type.
"""
if chaos:
mode = rng.choice(list(RandomizationMode))
if isinstance(typ, str):
# Bytes array
if typ == 'bytes':
if mode == RandomizationMode.mode_nil_count:
return b''
if mode == RandomizationMode.mode_max_count:
return get_random_bytes_list(rng, max_bytes_length)
if mode == RandomizationMode.mode_one_count:
return get_random_bytes_list(rng, 1)
if mode == RandomizationMode.mode_zero:
return b'\x00'
if mode == RandomizationMode.mode_max:
return b'\xff'
return get_random_bytes_list(rng, rng.randint(0, max_bytes_length))
elif typ[:5] == 'bytes' and len(typ) > 5:
length = int(typ[5:])
# Sanity, don't generate absurdly big random values
# If a client is aiming to performance-test, they should create a benchmark suite.
assert length <= max_bytes_length
if mode == RandomizationMode.mode_zero:
return b'\x00' * length
if mode == RandomizationMode.mode_max:
return b'\xff' * length
return get_random_bytes_list(rng, length)
# Basic types
else:
if mode == RandomizationMode.mode_zero:
return get_min_basic_value(typ)
if mode == RandomizationMode.mode_max:
return get_max_basic_value(typ)
return get_random_basic_value(rng, typ)
# Vector:
elif isinstance(typ, list) and len(typ) == 2:
return [get_random_ssz_object(rng, typ[0], max_bytes_length, max_list_length, mode, chaos) for _ in range(typ[1])]
# List:
elif isinstance(typ, list) and len(typ) == 1:
length = rng.randint(0, max_list_length)
if mode == RandomizationMode.mode_one_count:
length = 1
if mode == RandomizationMode.mode_max_count:
length = max_list_length
return [get_random_ssz_object(rng, typ[0], max_bytes_length, max_list_length, mode, chaos) for _ in range(length)]
# Container:
elif hasattr(typ, 'fields'):
return typ(**{field: get_random_ssz_object(rng, subtype, max_bytes_length, max_list_length, mode, chaos) for field, subtype in typ.fields.items()})
else:
print(typ)
raise Exception("Type not recognized")
def get_random_bytes_list(rng: Random, length: int) -> bytes:
return bytes(rng.getrandbits(8) for _ in range(length))
def get_random_basic_value(rng: Random, typ: str) -> Any:
if typ == 'bool':
return rng.choice((True, False))
if typ[:4] == 'uint':
size = int(typ[4:])
assert size in UINT_SIZES
return rng.randint(0, 2**size - 1)
if typ == 'byte':
return rng.randint(0, 8)
else:
raise ValueError("Not a basic type")
def get_min_basic_value(typ: str) -> Any:
if typ == 'bool':
return False
if typ[:4] == 'uint':
size = int(typ[4:])
assert size in UINT_SIZES
return 0
if typ == 'byte':
return 0x00
else:
raise ValueError("Not a basic type")
def get_max_basic_value(typ: str) -> Any:
if typ == 'bool':
return True
if typ[:4] == 'uint':
size = int(typ[4:])
assert size in UINT_SIZES
return 2**size - 1
if typ == 'byte':
return 0xff
else:
raise ValueError("Not a basic type")

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@ -1,7 +1,7 @@
from .hash_function import hash
from typing import Any from typing import Any
from .hash_function import hash
BYTES_PER_CHUNK = 32 BYTES_PER_CHUNK = 32
BYTES_PER_LENGTH_PREFIX = 4 BYTES_PER_LENGTH_PREFIX = 4
ZERO_CHUNK = b'\x00' * BYTES_PER_CHUNK ZERO_CHUNK = b'\x00' * BYTES_PER_CHUNK
@ -17,10 +17,7 @@ def SSZType(fields):
setattr(self, f, kwargs[f]) setattr(self, f, kwargs[f])
def __eq__(self, other): def __eq__(self, other):
return ( return self.fields == other.fields and self.serialize() == other.serialize()
self.fields == other.fields and
self.serialize() == other.serialize()
)
def __hash__(self): def __hash__(self):
return int.from_bytes(self.hash_tree_root(), byteorder="little") return int.from_bytes(self.hash_tree_root(), byteorder="little")