mirror of
https://github.com/harvard-edge/cs249r_book.git
synced 2026-05-07 18:18:42 -05:00
0bce771e26
Updates the requirements on [rich](https://github.com/Textualize/rich) to permit the latest version. - [Release notes](https://github.com/Textualize/rich/releases) - [Changelog](https://github.com/Textualize/rich/blob/master/CHANGELOG.md) - [Commits](https://github.com/Textualize/rich/compare/v13.0.0...v15.0.0) --- updated-dependencies: - dependency-name: rich dependency-version: 15.0.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
160 lines
4.7 KiB
TOML
160 lines
4.7 KiB
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 = "mlsysim"
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version = "0.1.1"
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description = "First-principles infrastructure modeling for machine learning systems — predicts performance, cost, and carbon footprint from hardware and workload specifications."
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readme = "README.md"
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requires-python = ">=3.10"
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authors = [
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{name = "Vijay Janapa Reddi", email = "vj@eecs.harvard.edu"}
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]
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license = {text = "Apache-2.0"}
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classifiers = [
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"Development Status :: 3 - Alpha",
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"Intended Audience :: Education",
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"Intended Audience :: Science/Research",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Education",
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"License :: OSI Approved :: Apache Software License",
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]
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dependencies = [
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"pint>=0.24.4",
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"pydantic>=2.0.0",
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# Browser-Pyodide bundles numpy 2.0.2; Node-Pyodide bundles 2.2.5;
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# neither will upgrade at runtime. mlsysim's actual numpy API surface
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# (argmin, array, column_stack, full_like, linspace, log, logspace,
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# meshgrid, minimum) is stable since numpy 1.20 and uses no 2.2-only
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# behavior, so 2.0 is the correct floor — wider than either Pyodide
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# bundle while staying on numpy 2.x.
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"numpy>=2.0",
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"typer>=0.9.0",
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"rich>=15.0.0",
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"pyyaml>=6.0",
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]
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[project.optional-dependencies]
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cli = [
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# CLI deps now in core (required for console_scripts entry point).
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# This extra is kept for backward compat with `pip install mlsysim[cli]`.
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]
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viz = [
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"plotly>=6.7.0",
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"matplotlib>=3.10.9",
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]
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labs = [
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"marimo>=0.23.3",
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"plotly>=6.7.0",
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]
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opt = [
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"scipy>=1.15.3",
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"ortools>=9.15.6755",
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]
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mcp = [
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"mcp",
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]
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full = [
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"mlsysim[cli,viz,labs,opt,mcp]",
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"pandas>=2.0.0",
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]
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docs = [
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"nbformat>=5.10.4",
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"jupyter>=1.1.1",
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"nbclient>=0.7",
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"matplotlib>=3.10.9",
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"numpy>=2.0",
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"plotly>=6.7.0",
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]
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dev = [
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"pytest>=9.0.3",
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"pytest-cov>=7.1.0",
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"pyright>=1.1.300",
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]
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[project.scripts]
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mlsysim = "mlsysim.cli.main:app"
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[project.urls]
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Homepage = "https://mlsysbook.ai/mlsysim"
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Repository = "https://github.com/harvard-edge/cs249r_book"
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Documentation = "https://mlsysbook.ai/mlsysim"
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Issues = "https://github.com/harvard-edge/cs249r_book/issues"
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[tool.hatch.build.targets.wheel]
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# Standard nested layout: pyproject.toml lives in this dir, package code lives
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# in the inner mlsysim/ directory. This layout supports `pip install -e .`
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# (editable installs) without the prefix-add `sources` rewrite that breaks
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# the editables backend.
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packages = ["mlsysim"]
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[tool.hatch.build.targets.sdist]
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include = [
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"mlsysim",
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"README.md",
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"LICENSE.md",
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"CHANGELOG.md",
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"CITATION.cff",
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"pyproject.toml",
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]
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[tool.pytest.ini_options]
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minversion = "7.0"
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testpaths = ["tests"]
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python_files = ["test_*.py"]
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python_functions = ["test_*"]
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addopts = ["--strict-markers"]
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[tool.pyright]
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include = ["mlsysim"]
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exclude = ["tests", "docs", "examples", "mlsysim/mlsysim/labs"]
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typeCheckingMode = "basic"
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reportMissingImports = true
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[tool.ruff]
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line-length = 120
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target-version = "py310"
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extend-exclude = [
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"build",
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"dist",
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"docs/_site",
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"notebooks",
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".venv",
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"venv",
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]
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[tool.ruff.lint]
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# Conservative defaults. Stick to E/F (style + pyflakes); leave W (whitespace
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# nits) to a future formatter pass if the project decides to enforce it.
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select = ["E", "F"]
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ignore = [
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# Long lines: formatter's responsibility, not the linter's.
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"E501",
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# Single-line `if x: do_thing()` is fine for early-returns / guards.
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"E701",
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# Module-level imports after `sys.path` munging are common in tests/notebooks.
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"E402",
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# Ambiguous variable names (`l`, `I`, `O`) — used intentionally for math symbols.
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"E741",
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]
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[tool.ruff.lint.per-file-ignores]
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# Re-export pattern: `__init__.py` files intentionally use `from .submod import *`
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# to expose a flat public API. The redefinitions and "unused" imports are by design.
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"**/__init__.py" = ["F401", "F403", "F405", "F811"]
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# constants.py imports the full unit registry via `from .units import *` and
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# uses `TFLOPs`, `second`, `GB`, etc. throughout. The star import is by design.
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"mlsysim/core/constants.py" = ["F403", "F405"]
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# Tests sometimes shadow imports (parametrize/fixtures) and use bare excepts in
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# negative-path checks; keep the noise out.
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"tests/**" = ["F401", "F811", "E722"]
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# Examples are illustrative scripts — allow unused imports for clarity and the
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# occasional bare except in demo error-handling.
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"examples/**" = ["F401", "F541", "E722"]
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