SentenceTransformer.encode() lacks return_dense/return_sparse kwargs; BGEM3FlagModel provides the correct hybrid API. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
48 lines
895 B
TOML
48 lines
895 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 = "codex"
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version = "0.1.0"
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description = "Personal knowledge base for scientific papers — provenance, citation graph, semantic search."
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"psycopg[binary]>=3.1",
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"pgvector>=0.3",
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"pydantic-settings>=2",
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"sentence-transformers>=3",
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"flagembedding>=1.2",
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"typer>=0.12",
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"httpx>=0.27",
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"tenacity>=8",
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]
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[project.scripts]
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codex = "codex.cli:app"
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[dependency-groups]
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dev = [
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"ruff>=0.4",
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"mypy>=1.10",
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"pytest>=8",
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"pytest-mock>=3",
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]
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[tool.ruff]
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target-version = "py312"
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line-length = 100
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[tool.ruff.lint]
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select = ["E", "F", "I", "UP", "B", "SIM"]
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ignore = []
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[tool.mypy]
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python_version = "3.12"
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strict = true
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ignore_missing_imports = true
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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