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Ports the public CMS "LEAD Model PY 2027 Alignment and Financial Methodology Paper" v1.2 (bib E4PEU3HV) as generic engines: parameters come from the paper, everything CMS computes per ACO or per year comes from the caller. No participant data, no organization-specific rules. - lead.params: Table 5.2.1 discounts, 3% Quality Withhold, 2% retention incentive, Box 5.3.3 Stop-Loss bands, Tables 5.4.1/5.4.3 corridors, 2% sequestration, base-year weights, Table 3.5.1 ACPT guardrails, risk-score growth caps, REA/PSA shares and caps, voluntary guardrail and 500 minimum, Table 2.6.1 base-year alignment minimums. - lead.settlement: Final Financial Settlement, Table 5.6.1 line by line (settle(SettlementInputs) -> SettlementLines). - lead.stop_loss: Box 5.3.3 charge, banded payout, neutrality factor, application to PY expenditure. - lead.monies_owed: Table 5.5.1 Total Monies Owed, APO reconciliation. - lead.timing: run-out end, settlement-basis rule, settlement-stage inputs. - lead.benchmark: §3 formulas — risk standardization, two-/three-way trend, base-year weights and sufficiency, voluntary guardrail, regional FFS, spending designation, REA, PSA, risk-score cap, hybrid alignment dollars, category blend. - lead.express: the same as narwhals Exprs; express.settlement.settle settles a frame of scenarios on any backend. Rounding: every dollar line rounds to the cent (half away from zero) as it is produced; PBPMs, rates and factors never do. It is the only rule under which Tables 3.3.3, 3.5.3.2, 3.5.4, 5.5.1 and 5.6.1 all reproduce (3.5.4 line 24 sums cent-rounded cells; 3.3.3 carries unrounded PBPMs). The Expr cents snaps its ÷100 with round(2): polars 2.0 divides a column by a literal as a reciprocal multiply (k × 0.01), one ulp off k/100 for ~15% of values. Missing inputs stay missing (None/null or a refused input model); the only zeros are the paper's own (Professional "N/A" discount, no Stop-Loss election, sequestration on losses, ineligible REA/PSA). Paper inconsistencies recorded in tests: Table 5.5.1 line 2 is a cent below Table 5.6.1 line 28 (.43 vs .44); Box 3.3.2 prints 1.104 then says 1.103; §3.5.1 prose widens the ACPT lower bound a year later than Table 3.5.1 (the table is followed). Tests: 283 in tests/lead — every published line to the cent, Expr builders on polars and DuckDB, bit-for-bit scalar/frame parity over 160 scenarios; 100% of src/lead.
258 lines
5.7 KiB
TOML
258 lines
5.7 KiB
TOML
[project]
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name = "stack"
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version = "0.1.0"
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description = "Healthcare data platform — ACO analytics, CMS data, BCDA FHIR, PFS equations"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"pydantic>=2.0.0",
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# AGPL-3.0 — flag if shipping outside internal use. <2: pymupdf 2.x folds
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# in the former pymupdf_layout code (Polyform Noncommercial / Artifex
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# commercial) and pulls onnxruntime into every image — a licence call,
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# not a routine bump.
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"pymupdf>=1.27.2,<2",
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"python-docx>=1.1",
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"xlrd>=2.0.2",
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]
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[project.scripts]
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stack = "cli:main"
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[project.optional-dependencies]
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conf = [
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"pydantic>=2.0.0",
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"httpx>=0.28.1",
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"duckdb>=1.5.4",
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]
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aco = [
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"stack[conf]",
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"narwhals>=2.17.0",
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"sqlglot>=26.0.0",
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"pyarrow>=23.0.1",
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"duckdb>=1.5.4",
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]
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api = [
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"stack[conf]",
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"fastapi>=0.139.0",
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"uvicorn>=0.41.0",
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"httpx>=0.28.1",
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"pyjwt>=2.15.1",
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"cryptography>=50.0.0",
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]
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bcda = [
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"stack[conf]",
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"httpx>=0.28.1",
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"fsspec>=2026.6.0",
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"narwhals>=2.17.0",
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"pyarrow>=23.0.1",
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"streamlit>=1.40",
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"polars>=1.0",
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]
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bib = [
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"stack[conf]",
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"pydantic>=2.0.0",
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"markdown-it-py>=4.0",
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"mdit-py-plugins>=0.4",
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]
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bls = []
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llm = [
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"stack[conf]",
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"stack[bib]",
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"httpx>=0.28.1",
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"fastapi>=0.139.0",
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"uvicorn>=0.41.0",
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"langchain-core>=0.3.0",
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"langchain-ollama>=0.2.0",
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"langchain-postgres>=0.0.12",
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"psycopg[binary]>=3.2.0",
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"sqlalchemy>=2.0.0",
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"pyyaml>=6.0.0", # dev/scripts/llm_golden.py (golden set YAML) runs inside the llm container
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]
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ccw = [
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"pydantic>=2.0.0",
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]
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lead = [
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"stack[conf]",
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"narwhals>=2.17.0",
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]
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cli = [
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"stack[aco]",
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"stack[api]",
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"stack[bib]",
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"stack[llm]",
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"stack[mail]",
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"stack[nlm]",
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"typer>=0.24.1",
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"uvicorn>=0.41.0",
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]
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nlm = [
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"stack[conf]",
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"httpx>=0.28.1",
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]
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mail = [
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"httpx>=0.28.1",
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"pydo>=0.29.0",
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"resend>=2.0.0",
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]
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cms = [
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"narwhals>=2.17.0",
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"pydantic>=2.0.0",
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]
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opps = [
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"stack[conf]",
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"stack[rex]",
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"duckdb>=1.5.4",
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"narwhals>=2.17.0",
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]
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pfs = [
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"stack[conf]",
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"stack[rex]",
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"duckdb>=1.5.4",
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"narwhals>=2.17.0",
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]
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qpp = [
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"stack[conf]",
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"pydantic>=2.0.0",
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]
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rec = [
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"stack[conf]",
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"stack[pfs]",
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"duckdb>=1.5.4",
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"narwhals>=2.17.0",
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"typer>=0.24.1",
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]
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rex = [
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"stack[conf]",
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"narwhals>=2.17.0",
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"pyarrow>=23.0.1",
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"fsspec>=2026.6.0",
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]
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prisma = [
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"stack[conf]",
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"stack[bib]",
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"anthropic>=0.40.0",
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"httpx[socks]>=0.28.1",
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"pyyaml>=6.0.0",
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"pydo>=0.29.0",
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"pdfminer.six>=20221105",
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"resend>=2.0.0",
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]
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perf = [
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"stack[conf]",
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"opentelemetry-api>=1.45.1",
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"opentelemetry-sdk>=1.45.1",
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"opentelemetry-exporter-otlp-proto-grpc>=1.25.0",
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"opentelemetry-exporter-prometheus>=0.46b0",
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"opentelemetry-instrumentation-fastapi>=0.46b0",
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"opentelemetry-semantic-conventions>=0.46b0",
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"psutil>=5.9.0",
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]
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sem = [
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"coverage>=7.13.4",
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]
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lake = [
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"stack[aco]",
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"databricks-sdk>=0.85.0",
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"databricks-bundles>=0.295.0",
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]
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aws = [
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"boto3>=1.35.0",
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"s3fs>=2026.2.0",
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]
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gcp = [
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"google-cloud-storage>=2.18.0",
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"gcsfs>=2024.1.0",
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]
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azure = [
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"azure-storage-blob>=12.23.0",
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"adlfs>=2024.1.0",
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]
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all = [
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"stack[aco]",
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"stack[api]",
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"stack[bcda]",
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"stack[bib]",
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"stack[bls]",
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"stack[ccw]",
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"stack[cli]",
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"stack[cms]",
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"stack[llm]",
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"stack[perf]",
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"stack[pfs]",
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"stack[qpp]",
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"stack[rec]",
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"stack[rex]",
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"stack[lake]",
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"stack[nlm]",
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"stack[lead]",
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]
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[dependency-groups]
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dev = [
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"stack[all]",
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"coverage>=7.13.4",
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"dbt-core==1.10.15",
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"dbt-duckdb>=1.10,<1.11",
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"openpyxl>=3.1.5",
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"pdfplumber>=0.11.9",
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"polars>=1.38.1",
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"pytest>=9.0.2",
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"pytest-cov>=7.0.0",
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"pytest-xdist>=3.5.0",
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"marimo>=0.23.13",
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"ruff>=0.11.0",
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"altair>=6.0.0",
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"pandas>=3.0.1",
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"obstore>=0.9.2",
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"s3fs>=2026.2.0",
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"jinja2>=3.1.0",
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"fastexcel>=0.19.0",
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]
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[build-system]
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requires = ["uv_build>=0.7,<1"]
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build-backend = "uv_build"
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[tool.ruff]
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line-length = 88
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[tool.ruff.lint]
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select = ["E", "F", "I"]
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ignore = ["E501", "E741"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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markers = [
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"stub: marks tests that report stub vs implemented status (deselect with '-m \"not stub\"')",
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"live: marks tests that need a live DuckDB replica on disk (skipped without one)",
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]
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filterwarnings = [
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"error::ResourceWarning",
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"ignore::ResourceWarning:coverage.*",
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]
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[tool.coverage.run]
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# Required for reliable pytest-cov + pytest-xdist combining: each worker
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# writes .coverage.<host>.<pid>, then pytest-cov auto-combines at exit.
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# Without this, parallel test runs randomly drop coverage data.
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parallel = true
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source = ["src"]
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concurrency = ["multiprocessing", "thread"]
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[tool.uv]
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# Supply-chain cooldown: resolve only releases at least a week old, so a
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# hijacked or yanked-within-days upload never lands in the lock. Renovate's
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# minimumReleaseAge matches. Exempt one package with
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# `exclude-newer-package` when a CVE fix can't wait. Lives here, not in a
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# uv.toml: images copy only pyproject.toml + uv.lock, and the lock records
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# the span, so `uv sync --locked` fails wherever the setting isn't visible.
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exclude-newer = "7 days"
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# Prevents broken .venv symlinks when uv runs under different users.
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link-mode = "copy"
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python-preference = "managed"
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[tool.uv.build-backend]
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module-name = ["aco", "api", "bcda", "bib", "bls", "ccw", "cli", "cms", "conf", "lead", "llm", "mail", "nlm", "opps", "perf", "pfs", "prisma", "qpp", "rec", "rex", "sem"]
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namespace = true
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source-exclude = ["compose.yml","infra/**","data/**","notebooks/**","tuva/**","assets/**","docs/**","dev/**","bundle/**","cloud/**"]
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