CX Discovery Notebook
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38
studies/202607_CX_AI_Diagnostic/pyproject.toml
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38
studies/202607_CX_AI_Diagnostic/pyproject.toml
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[build-system]
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requires = ["setuptools>=68"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "diaglib"
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version = "0.1.0"
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description = "CX AI Advisory Diagnostic — facilitator's workshop cockpit (Mercury Notebook Pattern)"
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requires-python = ">=3.11"
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# The notebook is the deliverable (served with Mercury, exported via
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# nbconvert, tables via tabulate) — the whole toolchain is a required
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# runtime dependency, not an extra. `pip install -e .` must be enough.
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dependencies = [
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"pandas>=2.0",
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"plotly>=5.18",
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"mercury>=3.2",
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"jupyterlab>=4.0",
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"ipywidgets>=8.0",
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"nbconvert>=7",
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"nbformat>=5.9",
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"tabulate>=0.9",
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"pydantic>=2.5",
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"PyYAML>=6.0",
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]
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[project.optional-dependencies]
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dev = ["pytest>=7.4", "mypy>=1.8"]
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[tool.setuptools.packages.find]
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include = ["diaglib*"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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addopts = "-q"
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[tool.mypy]
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strict = true
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packages = ["diaglib"]
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