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Static-graph simulator quantifying how a node's peering degree trades off propagation speed, adversary exposure, deanonymization, and reliability in the Blend network. Scales to 1e6 nodes (sparse CSR + sampled Dijkstra); the adversary and deanonymization metrics are exact at every N. Model (ms): seeded d-regular peer graph (matching-union), Blend cascade (sender -> blend_hops timed-release mix relays -> final flood), geographic link base + exponential transport jitter, per-node processing lag, free-running release-clock mixing. Metrics: - propagation: full-delay mean/p50/p90/p99, path/broadcast split, coverage times - reliability: message success-delivery-rate ~ (1-unresponsive_frac)^blend_hops and flood coverage, with unresponsive nodes modelled as routing holes - adversary (exact): observed/eclipsed fractions, random + worst-case placement - deanonymization (exact): P(whole blend path adversarial) ~ f_adv^blend_hops, and full deanonymization (path adversarial AND honest sender peered with an adversary) = deanon_rate * observed_frac Deterministic blake2b seed streams, three parquet tables, joblib parallelism, memguard, an analytic verify harness, 50 unit tests, and an auto-installing Makefile. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
46 lines
1.2 KiB
Makefile
46 lines
1.2 KiB
Makefile
VENV ?= .venv
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PY := $(VENV)/bin/python
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STAMP := $(VENV)/.installed
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# Keep numpy/scipy BLAS single-threaded so joblib process parallelism doesn't oversubscribe.
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export OMP_NUM_THREADS := 1
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export OPENBLAS_NUM_THREADS := 1
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export MKL_NUM_THREADS := 1
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export NUMEXPR_NUM_THREADS := 1
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.PHONY: install smoke sweep sweep-fullscale figures verify test lint clean
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# The stamp is the real install; targets below depend on it so `make sweep` (etc.) auto-installs
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# on a fresh checkout and re-installs whenever pyproject.toml changes.
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$(STAMP): pyproject.toml
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python3 -m venv $(VENV)
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$(PY) -m pip install -U pip
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$(PY) -m pip install -e ".[dev]"
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@touch $(STAMP)
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install: $(STAMP)
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smoke: $(STAMP) ## fast end-to-end (seconds): tiny N, few rounds/seeds
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$(PY) -m pd.sweep --config configs/smoke.yaml
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sweep: $(STAMP)
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$(PY) -m pd.sweep --config configs/default.yaml
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sweep-fullscale: $(STAMP)
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$(PY) -m pd.sweep --config configs/fullscale.yaml
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figures: $(STAMP) ## make figures RUN=runs/<dir>
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$(PY) -m pd.plotting.make_figures --run $(RUN)
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verify: $(STAMP)
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$(PY) -m pd.verify
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test: $(STAMP)
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$(PY) -m pytest
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lint: $(STAMP)
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$(VENV)/bin/ruff check src scripts tests
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clean:
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rm -rf runs/* figures/* .pytest_cache .ruff_cache .mypy_cache
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