mirror of
https://github.com/logos-blockchain/research.git
synced 2026-08-07 11:43:20 +00:00
f51630e509
The study started as a peering-degree question and grew well past it: propagation, adversary exposure, deanonymization and time-to-link, reliability under uniform and correlated churn, messaging redundancy, and cover traffic. The pd name no longer describes it. tools/simulators/blend/pd/ -> tools/simulators/blend/, package src/pd -> src/blend, and reports/blend/pd/ -> reports/blend/. Moved with git mv so history follows. The text substitutions are deliberately narrow. pd is also the conventional pandas alias, and pandas genuinely has a pd.plotting submodule, so a blanket pd. -> blend. rewrite would have corrupted four files. Only package-unambiguous forms were changed: from pd.X, -m pd.X, pd.<our module>, PD_BYTES_BUDGET, src/pd, and the pyproject name. All four import pandas as pd lines are untouched and verified. Both READMEs reframed: peering degree is now presented as the primary axis that ties the others together rather than as the subject, and the relative links, which lost a directory level in the move, are corrected. Verified after the move: ruff clean, 101 tests, 45 verify anchors, make targets, the script shims, an end-to-end smoke run, and data/report_numbers.py still reproducing the report tables from the checked-in evidence. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
67 lines
2.9 KiB
Python
67 lines
2.9 KiB
Python
import dataclasses
|
|
|
|
import pytest
|
|
|
|
from blend.config import SimConfig, SweepConfig
|
|
|
|
|
|
def test_key_covers_every_field():
|
|
fields = [f.name for f in dataclasses.fields(SimConfig)]
|
|
assert len(SimConfig().key()) == len(fields)
|
|
# n_regions=2 in the base so the region/churn fields can each be varied on their own
|
|
# (region_locality and churn_mode="regional" both require n_regions >= 2)
|
|
base = SimConfig(n_regions=2)
|
|
for name in fields:
|
|
cur = getattr(base, name)
|
|
alt = {"n_nodes": 2000, "degree": 4, "n_regions": 4, "region_locality": 0.5,
|
|
"blend_hops": 2, "max_blend_delay": 5,
|
|
"unresponsive_frac": 0.2, "churn_mode": "regional", "redundancy": 2,
|
|
"cover_rate_mult": 2.0, "block_interval_slots": 60, "slots_per_epoch": 1000,
|
|
"stake_inference_ratio": 0.7, "traffic_window_slots": 100,
|
|
"stake_dist": "zipf", "stake_zipf_a": 1.5,
|
|
"n_rounds": 10, "transport_jitter_mean_ms": 1.0,
|
|
"processing_lags_ms": (11.0, 51.0, 101.0), "processing_lag_probs": (0.6, 0.3, 0.1),
|
|
"link_latency_dist": "fixed", "link_latency_mean_ms": 1.0,
|
|
"coverage_pcts": (25.0,), "f_adv": 0.1, "adversary_mode": "worstcase_coverage",
|
|
"n_placements": 1, "worstcase_max_n": 5, "graph_seed": 99, "replicate": 1,
|
|
"root_seed": 7}[name]
|
|
assert alt != cur
|
|
assert dataclasses.replace(base, **{name: alt}).key() != base.key(), name
|
|
|
|
|
|
@pytest.mark.parametrize("kw", [
|
|
{"n_nodes": 999}, # odd
|
|
{"degree": 1000}, # >= n
|
|
{"blend_hops": 0}, # < 1
|
|
{"f_adv": 1.0}, # >= 1
|
|
{"max_blend_delay": -1},
|
|
{"processing_lag_probs": (0.5, 0.4)}, # doesn't sum to 1 (with default 3 lags -> len mismatch)
|
|
{"link_latency_dist": "bogus"},
|
|
{"adversary_mode": "bogus"},
|
|
])
|
|
def test_validation_rejects(kw):
|
|
with pytest.raises(ValueError):
|
|
SimConfig(**kw)
|
|
|
|
|
|
def test_sweep_grids_and_collapse():
|
|
sw = SweepConfig(n_nodes=[1000, 10000], degree=[4, 8], blend_hops=[2, 3],
|
|
max_blend_delay=[0, 3], f_adv=[0.0, 0.2],
|
|
adversary_mode=["random", "worstcase_coverage"], seeds=3)
|
|
assert len(sw.graph_cells()) == 2 * 2 * 3
|
|
assert len(sw.prop_grid()) == 2 * 2
|
|
# f_adv=0 collapses to a single (mode-irrelevant) row; f_adv=0.2 keeps both modes
|
|
assert sw.adv_grid() == [(0.0, "random"), (0.2, "random"), (0.2, "worstcase_coverage")]
|
|
|
|
|
|
def test_from_dict_rejects_unknown():
|
|
with pytest.raises(ValueError):
|
|
SweepConfig.from_dict({"nonsense": [1]})
|
|
|
|
|
|
def test_base_config_coerces_tuples():
|
|
sw = SweepConfig(base={"processing_lags_ms": [10.0, 90.0], "processing_lag_probs": [0.3, 0.7]})
|
|
cfg = sw.base_config(1000, 8, 0)
|
|
assert cfg.processing_lags_ms == (10.0, 90.0)
|
|
assert isinstance(cfg.key(), tuple)
|