Files
Open_Ultra_SAST/pyproject.toml
T
Marius CiepluchandClaude Fable 5.1 c95b9241d8 feat(stats): one statistics module on scipy, statsmodels and scikit-learn; engineered features tied to the annotations
openultrasast.stats: Wilson intervals (statsmodels), exact McNemar, a
repository-clustered percentile bootstrap and its paired form with one
quantile convention, grouped folds (GroupKFold, leave-one-group-out), and
per-column separation (ROC AUC) for the leak audit and the signal screen.
Checked against the benchmark scorer's Wilson and the learn harness's
McNemar. hunt/features.py turns the feature table into the engineered
frame (distances, counts, flags) and keeps the map from every engineered
feature to the annotation the model is shown, so an ablation mask drops
both, and screen() says which annotation carries signal before a model
call is spent. The [hunt] extra now carries the libraries; the core
install is unchanged. The learn harness's own copies stay until that line
is revived.

Co-Authored-By: Claude Fable 5.1 <[email protected]>
2026-10-13 12:43:02 +02:00

101 lines
2.8 KiB
TOML

[build-system]
requires = ["uv_build>=0.8.13,<0.9.0"]
build-backend = "uv_build"
[project]
name = "openultrasast"
version = "2.0.1"
description = "OpenCode-oriented SAST harness for evidence-gated security analysis"
readme = "README.md"
license = "Apache-2.0"
license-files = ["LICENSE"]
requires-python = ">=3.11"
dependencies = ["pyyaml>=6.0"]
[project.optional-dependencies]
# Hunter learning research only; the core install stays PyYAML.
hunt = [
"dspy>=3.4,<3.5",
"pandas>=2.2,<3",
"scipy>=1.13,<2",
"scikit-learn>=1.6,<2",
"statsmodels>=0.14,<1",
]
# The documentation site (mkdocs.yml, docs/). Mermaid renders client-side through Material's superfences fence.
docs = [
"mkdocs>=1.6,<2",
"mkdocs-material>=9.5,<10",
]
# The plane's memory store on an S3-compatible bucket (OUSAST_MEMORY=s3://<bucket>, plane/memory.py; RustFS is the
# tested server). Imported lazily; the core install and the file store need nothing beyond PyYAML.
s3 = [
"boto3>=1.35,<2",
]
# Structured parse for overlay (JS/C/C++/Java/Python). Core install stays empty.
# Wheels are MIT; import is lazy via openultrasast.semantic.extra.
semantic = [
"tree-sitter>=0.23,<0.27",
"tree-sitter-python>=0.23",
"tree-sitter-javascript>=0.23",
"tree-sitter-typescript>=0.23",
"tree-sitter-c>=0.23",
"tree-sitter-cpp>=0.23",
"tree-sitter-java>=0.23",
]
[project.scripts]
ousast = "openultrasast.cli:main"
[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["src"]
markers = [
"docker: requires a docker daemon",
"semantic: requires openultrasast[semantic] tree-sitter extra",
"ax: requires the live ax cluster of ops/ax/up.sh (skipped unless `ousast plane doctor` passes)",
]
[tool.ruff]
line-length = 140
target-version = "py311"
# Benchmark fixtures are intentionally vulnerable, unformatted sample corpora;
# linting/formatting them would flag the planted bugs and shift ground-truth lines.
extend-exclude = ["benchmarks/fixtures", "benchmarks/pairs"]
[tool.ruff.lint]
select = ["B", "E", "F", "I", "SIM", "UP"]
[tool.mypy]
python_version = "3.11"
files = ["src/openultrasast"]
check_untyped_defs = true
disallow_untyped_defs = true
no_implicit_optional = true
warn_redundant_casts = true
warn_return_any = true
warn_unused_configs = true
[[tool.mypy.overrides]]
module = "tree_sitter"
ignore_missing_imports = true
# boto3 is an optional extra without inline types, absent in the type-check environment (plane/memory.py imports
# it lazily).
[[tool.mypy.overrides]]
module = ["boto3", "botocore.*"]
ignore_missing_imports = true
# PyYAML ships no inline types and types-PyYAML is not a dev dependency.
[[tool.mypy.overrides]]
module = "yaml"
ignore_missing_imports = true
[dependency-groups]
dev = [
"dagger-io>=0.21.7",
"mypy>=2.1.0",
"pre-commit>=4.6.0",
"pytest>=8",
"ruff>=0.15.17",
]