import pytest from copy import deepcopy from dataclasses import dataclass import importlib from eth2spec.phase0 import mainnet as spec_phase0_mainnet, minimal as spec_phase0_minimal from eth2spec.altair import mainnet as spec_altair_mainnet, minimal as spec_altair_minimal from eth2spec.bellatrix import mainnet as spec_bellatrix_mainnet, minimal as spec_bellatrix_minimal from eth2spec.capella import mainnet as spec_capella_mainnet, minimal as spec_capella_minimal from eth2spec.deneb import mainnet as spec_deneb_mainnet, minimal as spec_deneb_minimal from eth2spec.utils import bls from .exceptions import SkippedTest from .helpers.constants import ( PHASE0, ALTAIR, BELLATRIX, CAPELLA, DENEB, MINIMAL, MAINNET, ALL_PHASES, ALL_FORK_UPGRADES, ) from .helpers.forks import is_post_fork from .helpers.typing import SpecForkName, PresetBaseName from .helpers.genesis import create_genesis_state from .utils import ( vector_test, with_meta_tags, ) from random import Random from typing import Any, Callable, Sequence, TypedDict, Protocol, Dict from lru import LRU # Without pytest CLI arg or pyspec-test-generator 'preset' argument, this will be the config to apply. DEFAULT_TEST_PRESET = MINIMAL # Without pytest CLI arg or pyspec-test-generator 'run-phase' argument, this will be the config to apply. DEFAULT_PYTEST_FORKS = ALL_PHASES # TODO: currently phases are defined as python modules. # It would be better if they would be more well-defined interfaces for stronger typing. class Configuration(Protocol): PRESET_BASE: str class Spec(Protocol): fork: str config: Configuration class SpecPhase0(Spec): ... class SpecAltair(Spec): ... class SpecBellatrix(Spec): ... class SpecCapella(Spec): ... @dataclass(frozen=True) class ForkMeta: pre_fork_name: str post_fork_name: str fork_epoch: int spec_targets: Dict[PresetBaseName, Dict[SpecForkName, Spec]] = { MINIMAL: { PHASE0: spec_phase0_minimal, ALTAIR: spec_altair_minimal, BELLATRIX: spec_bellatrix_minimal, CAPELLA: spec_capella_minimal, DENEB: spec_deneb_minimal, }, MAINNET: { PHASE0: spec_phase0_mainnet, ALTAIR: spec_altair_mainnet, BELLATRIX: spec_bellatrix_mainnet, CAPELLA: spec_capella_mainnet, DENEB: spec_deneb_mainnet }, } class SpecForks(TypedDict, total=False): PHASE0: SpecPhase0 ALTAIR: SpecAltair BELLATRIX: SpecBellatrix CAPELLA: SpecCapella def _prepare_state(balances_fn: Callable[[Any], Sequence[int]], threshold_fn: Callable[[Any], int], spec: Spec, phases: SpecForks): balances = balances_fn(spec) activation_threshold = threshold_fn(spec) state = create_genesis_state(spec=spec, validator_balances=balances, activation_threshold=activation_threshold) return state _custom_state_cache_dict = LRU(size=10) def with_custom_state(balances_fn: Callable[[Any], Sequence[int]], threshold_fn: Callable[[Any], int]): def deco(fn): def entry(*args, spec: Spec, phases: SpecForks, **kw): # make a key for the state, unique to the fork + config (incl preset choice) and balances/activations key = (spec.fork, spec.config.__hash__(), spec.__file__, balances_fn, threshold_fn) global _custom_state_cache_dict if key not in _custom_state_cache_dict: state = _prepare_state(balances_fn, threshold_fn, spec, phases) _custom_state_cache_dict[key] = state.get_backing() # Take an entry out of the LRU. # No copy is necessary, as we wrap the immutable backing with a new view. state = spec.BeaconState(backing=_custom_state_cache_dict[key]) kw['state'] = state return fn(*args, spec=spec, phases=phases, **kw) return entry return deco def default_activation_threshold(spec: Spec): """ Helper method to use the default balance activation threshold for state creation for tests. Usage: `@with_custom_state(threshold_fn=default_activation_threshold, ...)` """ return spec.MAX_EFFECTIVE_BALANCE def zero_activation_threshold(spec: Spec): """ Helper method to use 0 gwei as the activation threshold for state creation for tests. Usage: `@with_custom_state(threshold_fn=zero_activation_threshold, ...)` """ return 0 def default_balances(spec: Spec): """ Helper method to create a series of default balances. Usage: `@with_custom_state(balances_fn=default_balances, ...)` """ num_validators = spec.SLOTS_PER_EPOCH * 8 return [spec.MAX_EFFECTIVE_BALANCE] * num_validators def scaled_churn_balances(spec: Spec): """ Helper method to create enough validators to scale the churn limit. (This is *firmly* over the churn limit -- thus the +2 instead of just +1) See the second argument of ``max`` in ``get_validator_churn_limit``. Usage: `@with_custom_state(balances_fn=scaled_churn_balances, ...)` """ num_validators = spec.config.CHURN_LIMIT_QUOTIENT * (2 + spec.config.MIN_PER_EPOCH_CHURN_LIMIT) return [spec.MAX_EFFECTIVE_BALANCE] * num_validators with_state = with_custom_state(default_balances, default_activation_threshold) def low_balances(spec: Spec): """ Helper method to create a series of low balances. Usage: `@with_custom_state(balances_fn=low_balances, ...)` """ num_validators = spec.SLOTS_PER_EPOCH * 8 # Technically the balances cannot be this low starting from genesis, but it is useful for testing low_balance = 18 * 10 ** 9 return [low_balance] * num_validators def misc_balances(spec: Spec): """ Helper method to create a series of balances that includes some misc. balances. Usage: `@with_custom_state(balances_fn=misc_balances, ...)` """ num_validators = spec.SLOTS_PER_EPOCH * 8 balances = [spec.MAX_EFFECTIVE_BALANCE * 2 * i // num_validators for i in range(num_validators)] rng = Random(1234) rng.shuffle(balances) return balances def misc_balances_in_default_range_with_many_validators(spec: Spec): """ Helper method to create a series of balances that includes some misc. balances but none that are below the ``EJECTION_BALANCE``. """ # Double validators to facilitate randomized testing num_validators = spec.SLOTS_PER_EPOCH * 8 * 2 floor = spec.config.EJECTION_BALANCE + spec.EFFECTIVE_BALANCE_INCREMENT balances = [ max(spec.MAX_EFFECTIVE_BALANCE * 2 * i // num_validators, floor) for i in range(num_validators) ] rng = Random(1234) rng.shuffle(balances) return balances def low_single_balance(spec: Spec): """ Helper method to create a single of balance of 1 Gwei. Usage: `@with_custom_state(balances_fn=low_single_balance, ...)` """ return [1] def large_validator_set(spec: Spec): """ Helper method to create a large series of default balances. Usage: `@with_custom_state(balances_fn=default_balances, ...)` """ num_validators = 2 * spec.SLOTS_PER_EPOCH * spec.MAX_COMMITTEES_PER_SLOT * spec.TARGET_COMMITTEE_SIZE return [spec.MAX_EFFECTIVE_BALANCE] * num_validators def single_phase(fn): """ Decorator that filters out the phases data. most state tests only focus on behavior of a single phase (the "spec"). This decorator is applied as part of spec_state_test(fn). """ def entry(*args, **kw): if 'phases' in kw: kw.pop('phases') return fn(*args, **kw) return entry # BLS is turned on by default, it can be disabled in tests by overriding this, or using `--disable-bls`. # *This is for performance purposes during TESTING, DO NOT DISABLE IN PRODUCTION*. # The runner of the test can indicate the preferred setting (test generators prefer BLS to be ON). # - Some tests are marked as BLS-requiring, and ignore this setting. # (tests that express differences caused by BLS, e.g. invalid signatures being rejected) # - Some other tests are marked as BLS-ignoring, and ignore this setting. # (tests that are heavily performance impacted / require unsigned state transitions) # - Most tests respect the BLS setting. DEFAULT_BLS_ACTIVE = True is_pytest = True def dump_skipping_message(reason: str) -> None: message = f"[Skipped test] {reason}" if is_pytest: pytest.skip(message) else: raise SkippedTest(message) def description(case_description: str): def entry(fn): return with_meta_tags({'description': case_description})(fn) return entry def spec_test(fn): # Bls switch must be wrapped by vector_test, # to fully go through the yielded bls switch data, before setting back the BLS setting. # A test may apply BLS overrides such as @always_bls, # but if it yields data (n.b. @always_bls yields the bls setting), it should be wrapped by this decorator. # This is why @alway_bls has its own bls switch, since the override is beyond the reach of the outer switch. return vector_test()(bls_switch(fn)) # shorthand for decorating @spec_test @with_state @single_phase def spec_state_test(fn): return spec_test(with_state(single_phase(fn))) def spec_configured_state_test(conf): overrides = with_config_overrides(conf) def decorator(fn): return spec_test(overrides(with_state(single_phase(fn)))) return decorator def _check_current_version(spec, state, version_name): fork_version_field = version_name.upper() + '_FORK_VERSION' try: fork_version = getattr(spec.config, fork_version_field) except Exception: return False else: return state.fork.current_version == fork_version def config_fork_epoch_overrides(spec, state): if state.fork.current_version == spec.config.GENESIS_FORK_VERSION: return {} for fork in ALL_PHASES: if fork != PHASE0 and _check_current_version(spec, state, fork): overrides = {} for f in ALL_PHASES: if f != PHASE0 and is_post_fork(fork, f): overrides[f.upper() + '_FORK_EPOCH'] = spec.GENESIS_EPOCH return overrides def with_matching_spec_config(emitted_fork=None): def decorator(fn): def wrapper(*args, spec: Spec, **kw): overrides = config_fork_epoch_overrides(spec, kw['state']) deco = with_config_overrides(overrides, emitted_fork) return deco(fn)(*args, spec=spec, **kw) return wrapper return decorator def spec_state_test_with_matching_config(fn): return spec_test(with_state(with_matching_spec_config()(single_phase(fn)))) def expect_assertion_error(fn): bad = False try: fn() bad = True except AssertionError: pass except IndexError: # Index errors are special; the spec is not explicit on bound checking, an IndexError is like a failed assert. pass if bad: raise AssertionError('expected an assertion error, but got none.') def never_bls(fn): """ Decorator to apply on ``bls_switch`` decorator to force BLS de-activation. Useful to mark tests as BLS-ignorant. This decorator may only be applied to yielding spec test functions, and should be wrapped by vector_test, as the yielding needs to complete before setting back the BLS setting. """ def entry(*args, **kw): # override bls setting kw['bls_active'] = False return bls_switch(fn)(*args, **kw) return with_meta_tags({'bls_setting': 2})(entry) def always_bls(fn): """ Decorator to apply on ``bls_switch`` decorator to force BLS activation. Useful to mark tests as BLS-dependent. This decorator may only be applied to yielding spec test functions, and should be wrapped by vector_test, as the yielding needs to complete before setting back the BLS setting. """ def entry(*args, **kw): # override bls setting kw['bls_active'] = True return bls_switch(fn)(*args, **kw) return with_meta_tags({'bls_setting': 1})(entry) def bls_switch(fn): """ Decorator to make a function execute with BLS ON, or BLS off. Based on an optional bool argument ``bls_active``, passed to the function at runtime. This decorator may only be applied to yielding spec test functions, and should be wrapped by vector_test, as the yielding needs to complete before setting back the BLS setting. """ def entry(*args, **kw): old_state = bls.bls_active bls.bls_active = kw.pop('bls_active', DEFAULT_BLS_ACTIVE) res = fn(*args, **kw) if res is not None: yield from res bls.bls_active = old_state return entry def disable_process_reveal_deadlines(fn): """ Decorator to make a function execute with `process_reveal_deadlines` OFF. This is for testing long-range epochs transition without considering the reveal-deadline slashing effect. """ def entry(*args, spec: Spec, **kw): if hasattr(spec, 'process_reveal_deadlines'): old_state = spec.process_reveal_deadlines spec.process_reveal_deadlines = lambda state: None yield from fn(*args, spec=spec, **kw) if hasattr(spec, 'process_reveal_deadlines'): spec.process_reveal_deadlines = old_state return with_meta_tags({'reveal_deadlines_setting': 1})(entry) def with_all_phases(fn): """ A decorator for running a test with every phase """ return with_phases(ALL_PHASES)(fn) def with_all_phases_from(earliest_phase): """ A decorator factory for running a tests with every phase except the ones listed """ def decorator(fn): return with_phases([phase for phase in ALL_PHASES if is_post_fork(phase, earliest_phase)])(fn) return decorator def with_all_phases_except(exclusion_phases): """ A decorator factory for running a tests with every phase except the ones listed """ def decorator(fn): return with_phases([phase for phase in ALL_PHASES if phase not in exclusion_phases])(fn) return decorator with_altair_and_later = with_all_phases_from(ALTAIR) with_bellatrix_and_later = with_all_phases_from(BELLATRIX) with_capella_and_later = with_all_phases_from(CAPELLA) with_deneb_and_later = with_all_phases_from(DENEB) def _get_preset_targets(kw): preset_name = DEFAULT_TEST_PRESET if 'preset' in kw: preset_name = kw.pop('preset') return spec_targets[preset_name] def _get_run_phases(phases, kw): """ Return the fork names for the base `spec` in test cases """ if 'phase' in kw: # Limit phases if one explicitly specified phase = kw.pop('phase') if phase not in phases: dump_skipping_message(f"doesn't support this fork: {phase}") return None run_phases = [phase] else: # If pytest `--fork` flag is set, filter out the rest of the forks run_phases = set(phases).intersection(DEFAULT_PYTEST_FORKS) return run_phases def _get_available_phases(run_phases, other_phases): """ Return the available fork names for multi-phase tests """ available_phases = set(run_phases) if other_phases is not None: available_phases |= set(other_phases) return available_phases def _run_test_case_with_phases(fn, phases, other_phases, kw, args, is_fork_transition=False): run_phases = _get_run_phases(phases, kw) if len(run_phases) == 0: if not is_fork_transition: dump_skipping_message("none of the recognized phases are executable, skipping test.") return None available_phases = _get_available_phases(run_phases, other_phases) targets = _get_preset_targets(kw) # Populate all phases for multi-phase tests phase_dir = {} for phase in available_phases: phase_dir[phase] = targets[phase] # Return is ignored whenever multiple phases are ran. # This return is for test generators to emit python generators (yielding test vector outputs) for phase in run_phases: ret = fn(spec=targets[phase], phases=phase_dir, *args, **kw) return ret def with_phases(phases, other_phases=None): """ Decorator factory that returns a decorator that runs a test for the appropriate phases. Additional phases that do not initially run, but are made available through the test, are optional. """ def decorator(fn): def wrapper(*args, **kw): if 'fork_metas' in kw: fork_metas = kw.pop('fork_metas') if 'phase' in kw: # When running test generator, it sets specific `phase` phase = kw['phase'] _phases = [phase] _other_phases = [ALL_FORK_UPGRADES[phase]] ret = _run_test_case_with_phases(fn, _phases, _other_phases, kw, args, is_fork_transition=True) else: # When running pytest, go through `fork_metas` instead of using `phases` for fork_meta in fork_metas: _phases = [fork_meta.pre_fork_name] _other_phases = [fork_meta.post_fork_name] ret = _run_test_case_with_phases(fn, _phases, _other_phases, kw, args, is_fork_transition=True) else: ret = _run_test_case_with_phases(fn, phases, other_phases, kw, args) return ret return wrapper return decorator def with_presets(preset_bases, reason=None): available_presets = set(preset_bases) def decorator(fn): def wrapper(*args, spec: Spec, **kw): if spec.config.PRESET_BASE not in available_presets: message = f"doesn't support this preset base: {spec.config.PRESET_BASE}." if reason is not None: message = f"{message} Reason: {reason}" dump_skipping_message(message) return None return fn(*args, spec=spec, **kw) return wrapper return decorator class quoted_str(str): pass def _get_basic_dict(ssz_dict: Dict[str, Any]) -> Dict[str, Any]: """ Get dict of basic types from a dict of SSZ objects. """ result = {} for k, v in ssz_dict.items(): if isinstance(v, int): value = int(v) elif isinstance(v, bytes): value = bytes(bytearray(v)) else: value = quoted_str(v) result[k] = value return result def _get_copy_of_spec(spec): fork = spec.fork preset = spec.config.PRESET_BASE module_path = f"eth2spec.{fork}.{preset}" module_spec = importlib.util.find_spec(module_path) module = importlib.util.module_from_spec(module_spec) module_spec.loader.exec_module(module) # Preserve existing config overrides module.config = deepcopy(spec.config) return module def spec_with_config_overrides(spec, config_overrides): # apply our overrides to a copy of it, and apply it to the spec config = spec.config._asdict() config.update((k, config_overrides[k]) for k in config.keys() & config_overrides.keys()) config_types = spec.Configuration.__annotations__ modified_config = {k: config_types[k](v) for k, v in config.items()} spec.config = spec.Configuration(**modified_config) # To output the changed config in a format compatible with yaml test vectors, # the dict SSZ objects have to be converted into Python built-in types. output_config = _get_basic_dict(modified_config) return spec, output_config def with_config_overrides(config_overrides, emitted_fork=None, emit=True): """ WARNING: the spec_test decorator must wrap this, to ensure the decorated test actually runs. This decorator forces the test to yield, and pytest doesn't run generator tests, and instead silently passes it. Use 'spec_configured_state_test' instead of 'spec_state_test' if you are unsure. This is a decorator that applies a dict of config value overrides to the spec during execution. """ def decorator(fn): def wrapper(*args, spec: Spec, **kw): # Apply config overrides to spec spec, output_config = spec_with_config_overrides(_get_copy_of_spec(spec), config_overrides) # Apply config overrides to additional phases, if present if 'phases' in kw: phases = {} for fork in kw['phases']: phases[fork], output = spec_with_config_overrides( _get_copy_of_spec(kw['phases'][fork]), config_overrides) if emitted_fork == fork: output_config = output kw['phases'] = phases # Emit requested spec (with overrides) if emit: yield 'config', 'cfg', output_config # Run the function out = fn(*args, spec=spec, **kw) # If it's not returning None like a normal test function, # it's generating things, and we need to complete it before setting back the config. if out is not None: yield from out return wrapper return decorator def only_generator(reason): def _decorator(inner): def _wrapper(*args, **kwargs): if is_pytest: dump_skipping_message(reason) return None return inner(*args, **kwargs) return _wrapper return _decorator def with_test_suite_name(suite_name: str): def _decorator(inner): inner.suite_name = suite_name return inner return _decorator # # Fork transition state tests # def set_fork_metas(fork_metas: Sequence[ForkMeta]): def decorator(fn): def wrapper(*args, **kwargs): return fn(*args, fork_metas=fork_metas, **kwargs) return wrapper return decorator def with_fork_metas(fork_metas: Sequence[ForkMeta]): """ A decorator to construct a "transition" test from one fork to another. Decorator takes a list of `ForkMeta` and each item defines `pre_fork_name`, `post_fork_name`, and `fork_epoch`. Decorator assumes a transition from the `pre_fork_name` fork to the `post_fork_name` fork. The user can supply a `fork_epoch` at which the fork occurs or they must compute one (yielding to the generator) during the test if more custom behavior is desired. A test using this decorator should expect to receive as parameters: `state`: the default state constructed for the `pre_fork_name` fork according to the `with_state` decorator. `fork_epoch`: the `fork_epoch` provided to this decorator, if given. `spec`: the version of the eth2 spec corresponding to `pre_fork_name`. `post_spec`: the version of the eth2 spec corresponding to `post_fork_name`. `pre_tag`: a function to tag data as belonging to `pre_fork_name` fork. Used to discriminate data during consumption of the generated spec tests. `post_tag`: a function to tag data as belonging to `post_fork_name` fork. Used to discriminate data during consumption of the generated spec tests. """ run_yield_fork_meta = yield_fork_meta(fork_metas) run_with_phases = with_phases(ALL_PHASES) run_set_fork_metas = set_fork_metas(fork_metas) def decorator(fn): return run_set_fork_metas(run_with_phases(spec_test(with_state(run_yield_fork_meta(fn))))) return decorator def yield_fork_meta(fork_metas: Sequence[ForkMeta]): """ Yield meta fields to `meta.yaml` and pass post spec and meta fields to `fn`. """ def decorator(fn): def wrapper(*args, **kw): phases = kw.pop('phases') spec = kw["spec"] try: fork_meta = next(filter(lambda m: m.pre_fork_name == spec.fork, fork_metas)) except StopIteration: dump_skipping_message(f"doesn't support this fork: {spec.fork}") post_spec = phases[fork_meta.post_fork_name] # Reset counter pre_fork_counter = 0 def pre_tag(obj): nonlocal pre_fork_counter pre_fork_counter += 1 return obj def post_tag(obj): return obj yield "post_fork", "meta", fork_meta.post_fork_name has_fork_epoch = False if fork_meta.fork_epoch: kw["fork_epoch"] = fork_meta.fork_epoch has_fork_epoch = True yield "fork_epoch", "meta", fork_meta.fork_epoch result = fn( *args, post_spec=post_spec, pre_tag=pre_tag, post_tag=post_tag, **kw, ) if result is not None: for part in result: if part[0] == "fork_epoch": has_fork_epoch = True yield part assert has_fork_epoch if pre_fork_counter > 0: yield "fork_block", "meta", pre_fork_counter - 1 return wrapper return decorator