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6ad63ce2f3
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>
44 lines
879 B
TOML
44 lines
879 B
TOML
[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "pd"
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version = "0.1.0"
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description = "Peering-degree Monte-Carlo graph simulator for the Blend network"
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requires-python = ">=3.11"
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dependencies = [
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"numpy",
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"pandas",
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"pyarrow",
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"matplotlib",
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"scipy",
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"pyyaml",
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"tqdm",
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"joblib",
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]
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[project.optional-dependencies]
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dev = ["pytest", "pytest-xdist", "ruff", "mypy"]
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[project.scripts]
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pd-sweep = "pd.sweep:main"
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pd-verify = "pd.verify:main"
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pd-figures = "pd.plotting.make_figures:main"
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[tool.hatch.build.targets.wheel]
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packages = ["src/pd"]
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[tool.ruff]
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line-length = 100
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target-version = "py311"
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[tool.ruff.lint]
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select = ["E", "F", "I", "UP", "B", "NPY"]
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ignore = ["E741"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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addopts = "-q"
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markers = ["slow: marks slow tests (deselect with -m 'not slow')"]
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