From 5b428dd4f81b2e79b4c39fde13d85b408222da15 Mon Sep 17 00:00:00 2001 From: Petr Karnakov Date: Sun, 12 Oct 2025 18:27:17 +0200 Subject: [PATCH 01/17] readme: uv, add uv.lock --- README.md | 8 +++ uv.lock | 160 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 168 insertions(+) create mode 100644 uv.lock diff --git a/README.md b/README.md index f5f49f8..2a67652 100644 --- a/README.md +++ b/README.md @@ -29,6 +29,14 @@ or pip install git+https://github.com/cselab/odil.git ``` +### Using `uv` + +``` +uv venv --python 3.12 +. .venv/bin/activate +uv sync +``` + ## Using GPU To enable GPU support, provide a non-empty list of devices in `CUDA_VISIBLE_DEVICES`. diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..53b6266 --- /dev/null +++ b/uv.lock @@ -0,0 +1,160 @@ +version = 1 +revision = 3 +requires-python = ">=3.12" + +[[package]] +name = "numpy" +version = "2.3.3" +source = { registry = "https://pypi.org/simple" } +sdist = { url = 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"Operating System :: OS Independent", ] +license = {text = "MIT"} +requires-python = ">=3.12" + +# Versions from Ubuntu 24.04 LTS. +# https://packages.ubuntu.com/search?suite=noble§ion=all&arch=any&keywords=python3-mypy&searchon=names +dependencies = [ + "numpy>=1.26.4", + "psutil>=5.9.8", + "scipy>=1.11.4", + "matplotlib>=3.6.3", +] + [project.urls] Homepage = "https://github.com/cselab/odil" Issues = "https://github.com/cselab/odil/issues" @@ -28,3 +35,16 @@ build-backend = "hatchling.build" [tool.black] line-length = 120 +target-version = ['py312'] + +[project.optional-dependencies] +tensorflow = ["tensorflow>=2.19.0"] +jax = ["jax[cuda]>=0.7.0", "jaxlib>=0.7.0"] + +[dependency-groups] +dev = [ + "pytest>=7.4.4", + "black>=25.9.0", + "ruff>=0.14.0", + "mypy>=1.18.2", +] diff --git a/uv.lock b/uv.lock index 53b6266..5be5c46 100644 --- a/uv.lock +++ b/uv.lock @@ -1,6 +1,789 @@ version = 1 revision = 3 requires-python = ">=3.12" +resolution-markers = [ + "python_full_version >= 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lint --- Makefile | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/Makefile b/Makefile index 702de21..4c142c0 100644 --- a/Makefile +++ b/Makefile @@ -1,3 +1,6 @@ +RUFF_FLAGS = +BLACK_FLAGS = + default: data: @@ -6,4 +9,8 @@ data: release: V=$$(sed -rn 's/^version = "(.*)"$$/\1/p' pyproject.toml) && git archive --prefix="odil-$$V/" -o "odil-$$V.tar.gz" HEAD -.PHONY: default release +lint: + ruff check $(RUFF_FLAGS) + black $(BLACK_FLAGS) + +.PHONY: default release lint From f83063170b95ac92bc23cfc46134cfb67df21b7d Mon Sep 17 00:00:00 2001 From: Petr Karnakov Date: Sun, 12 Oct 2025 21:35:31 +0200 Subject: [PATCH 05/17] ruff: unsafe-fixes --- examples/basic/fields.ipynb | 4 +--- examples/basic/fields.py | 2 -- examples/heat/README.py | 2 +- examples/heat/heat.py | 5 ++--- examples/heat/plot_train.py | 1 - examples/heat_tmax/heat_tmax.py | 4 ++-- examples/infer_constant/infer_constant.py | 4 ++-- examples/poisson/plot_field.py | 2 -- examples/poisson/plot_train.py | 1 - examples/poisson/poisson.py | 9 ++++----- examples/velocity_from_tracer/veltracer.py | 16 +++++----------- examples/wave/wave.py | 8 ++------ src/odil/__init__.py | 3 ++- src/odil/core.py | 16 ++++++++-------- src/odil/plot.py | 1 - src/odil/plotutil.py | 3 ++- src/odil/runtime.py | 2 +- src/odil/util.py | 4 ++-- tests/test_domain.py | 1 - tests/test_newton.py | 2 -- tests/test_optimize.py | 2 -- 21 files changed, 34 insertions(+), 58 deletions(-) diff --git a/examples/basic/fields.ipynb b/examples/basic/fields.ipynb index 23f930a..d9ecaf6 100644 --- a/examples/basic/fields.ipynb +++ b/examples/basic/fields.ipynb @@ -18,12 +18,11 @@ "outputs": [], "source": [ "import sys\n", - "if 'google.colab' in sys.modules and not 'odil' in sys.modules:\n", + "if 'google.colab' in sys.modules and 'odil' not in sys.modules:\n", " %pip install -q git+https://github.com/cselab/odil\n", "import argparse\n", "import numpy as np\n", "import odil\n", - "from odil import printlog\n", "def operator(ctx):\n", " res = []\n", "\n", @@ -71,7 +70,6 @@ "\n", "\n", "def plot(problem, state, epoch, frame, cbinfo=None):\n", - " from odil import plotutil\n", " import matplotlib.pyplot as plt\n", " domain = problem.domain\n", " fig, ax = plt.subplots(figsize=(4, 2))\n", diff --git a/examples/basic/fields.py b/examples/basic/fields.py index 4913cad..7a29d0b 100755 --- a/examples/basic/fields.py +++ b/examples/basic/fields.py @@ -56,8 +56,6 @@ def parse_args(): def plot(problem, state, epoch, frame, cbinfo=None): - from odil import plotutil - import matplotlib.pyplot as plt domain = problem.domain fig, ax = plt.subplots(figsize=(4, 2)) diff --git a/examples/heat/README.py b/examples/heat/README.py index 2b60cfb..70c6100 100755 --- a/examples/heat/README.py +++ b/examples/heat/README.py @@ -36,7 +36,7 @@ def add_subdir(subdir, title, cmd, img=True): add_subdir("out_odil", "ODIL Adam", "case=2 outdir=out_odil ./run") add_subdir("out_pinn", "PINN Adam", "case=2p gpus=0 outdir=out_pinn ./run") -text += f"""### Training history +text += """### Training history ``` ./plot_train.py diff --git a/examples/heat/heat.py b/examples/heat/heat.py index d346393..2974116 100755 --- a/examples/heat/heat.py +++ b/examples/heat/heat.py @@ -5,7 +5,6 @@ import pickle import odil -from odil import plotutil import matplotlib.pyplot as plt from odil import printlog from odil.runtime import tf @@ -106,7 +105,7 @@ def apply_bc_u(st): res = [("fu", fu)] if extra.imp_size: - u = u_st[0] + u_st[0] # Rescale weight to the total number of points. k = args.kimp * (np.prod(ctx.size()) / extra.imp_size) ** 0.5 fuimp = extra.imp_mask * (u_st[0][0] - extra.imp_u) * k @@ -550,7 +549,7 @@ def main(): ) odil.util.optimize(args, args.optimizer, problem, state, callback) - with open("done", "w") as f: + with open("done", "w"): pass diff --git a/examples/heat/plot_train.py b/examples/heat/plot_train.py index a6bf7b6..9e325d6 100755 --- a/examples/heat/plot_train.py +++ b/examples/heat/plot_train.py @@ -3,7 +3,6 @@ import numpy as np import argparse import os -import pickle from odil import plotutil import matplotlib.pyplot as plt diff --git a/examples/heat_tmax/heat_tmax.py b/examples/heat_tmax/heat_tmax.py index a4da640..e739dbe 100755 --- a/examples/heat_tmax/heat_tmax.py +++ b/examples/heat_tmax/heat_tmax.py @@ -28,7 +28,7 @@ def transform_u(u, extra, mod): def operator_heat(ctx): mod = ctx.mod dt, dx = ctx.step("t", "x") - x = ctx.points("x") + ctx.points("x") it, ix = ctx.indices("t", "x", loc="nc") nt, nx = ctx.size("t", "x") coeff = ctx.field("coeff") @@ -154,7 +154,7 @@ def make_problem(args): # Evaluate exact solution, boundary and initial conditions. tt, xx = domain.points(loc="nc") # Node-based in time, cell-based in space. - tone = domain.points_1d("t", loc="n") + domain.points_1d("t", loc="n") xone = domain.points_1d("x", loc="c") ref_u = get_ref_u(tt, xx, args) u_init = get_ref_u(np.full_like(xone, domain.lower[0]), xone, args) diff --git a/examples/infer_constant/infer_constant.py b/examples/infer_constant/infer_constant.py index 8b32e9e..aaf1dfa 100755 --- a/examples/infer_constant/infer_constant.py +++ b/examples/infer_constant/infer_constant.py @@ -43,7 +43,7 @@ def transform_u(u, extra, mod): def operator_adv(ctx): mod = ctx.mod dt, dx = ctx.step("t", "x") - x = ctx.points("x") + ctx.points("x") it, ix = ctx.indices("t", "x") nt, nx = ctx.size("t", "x") coeff = ctx.field("coeff") @@ -149,7 +149,7 @@ def make_problem(args): # Evaluate exact solution, boundary and initial conditions. tt, xx = domain.points() # Node-based in time, cell-based in space. - tone = domain.points_1d("t", loc="n") + domain.points_1d("t", loc="n") xone = domain.points_1d("x", loc="c") ref_u = get_ref_u(tt, xx, args) u_init = get_ref_u(xone * 0 + domain.lower[0], xone, args) diff --git a/examples/poisson/plot_field.py b/examples/poisson/plot_field.py index 0cb2222..4c5557e 100755 --- a/examples/poisson/plot_field.py +++ b/examples/poisson/plot_field.py @@ -1,9 +1,7 @@ #!/usr/bin/env python3 -import numpy as np import pickle import argparse -import math from odil import plotutil import matplotlib.pyplot as plt diff --git a/examples/poisson/plot_train.py b/examples/poisson/plot_train.py index 6fd1f8c..477d950 100755 --- a/examples/poisson/plot_train.py +++ b/examples/poisson/plot_train.py @@ -1,7 +1,6 @@ #!/usr/bin/env python3 import numpy as np -import os import argparse from odil import plotutil import matplotlib.pyplot as plt diff --git a/examples/poisson/poisson.py b/examples/poisson/poisson.py index b0a4552..55ceeae 100755 --- a/examples/poisson/poisson.py +++ b/examples/poisson/poisson.py @@ -16,7 +16,7 @@ def get_ref_u(name, args, domain): xw = domain.points() - ndim = len(xw) + len(xw) if name == "hat": p = 5 u = np.prod([(1 - x) * x * 5 for x in xw], axis=0) @@ -33,7 +33,7 @@ def get_ref_u(name, args, domain): def get_ref_rhs(name, args, domain): xw = domain.points() - ndim = len(xw) + len(xw) if name == "osc": pi, cos, sin = np.pi, np.cos, np.sin k = args.osc_k @@ -215,7 +215,6 @@ def plot_func(problem, state, epoch, frame, cbinfo): def get_error(domain, extra, state, key): - mod = domain.mod state_u = domain.field(state, key) du = state_u - extra.ref_u return np.sqrt(np.mean(du**2)) @@ -250,9 +249,9 @@ def make_problem(args): cellbased = args.cellbased if cellbased: - xw = domain.points(loc="c" * ndim) + domain.points(loc="c" * ndim) else: - xw = domain.points(loc="n" * ndim) + domain.points(loc="n" * ndim) # Reference solution. ref_u = get_ref_u(args.ref, args, domain) diff --git a/examples/velocity_from_tracer/veltracer.py b/examples/velocity_from_tracer/veltracer.py index 9b38cf9..f705f38 100755 --- a/examples/velocity_from_tracer/veltracer.py +++ b/examples/velocity_from_tracer/veltracer.py @@ -4,7 +4,6 @@ import numpy as np import odil from odil import printlog -from odil import plotutil import matplotlib.pyplot as plt @@ -79,19 +78,15 @@ def deriv_fou(um, u, up, v): vxf_st = stencil_var("vx", frozen=True) vx = vx_st[0] vxf = vxf_st[0] - vxmh = vx - vxph = vx - vxmhf = (vxf + mod.roll(vxf, shift=1, axis=1)) * 0.5 - vxphf = (vxf + mod.roll(vxf, shift=-1, axis=1)) * 0.5 + (vxf + mod.roll(vxf, shift=1, axis=1)) * 0.5 + (vxf + mod.roll(vxf, shift=-1, axis=1)) * 0.5 vy_st = stencil_var("vy") vyf_st = stencil_var("vy", frozen=True) vy = vy_st[0] vyf = vyf_st[0] - vymh = vy - vyph = vy - vymhf = (vyf + mod.roll(vyf, shift=1, axis=2)) * 0.5 - vyphf = (vyf + mod.roll(vyf, shift=-1, axis=2)) * 0.5 + (vyf + mod.roll(vyf, shift=1, axis=2)) * 0.5 + (vyf + mod.roll(vyf, shift=-1, axis=2)) * 0.5 st = stencil_var("u", shift_t=-1) u_x = deriv_fou(st[1], st[0], st[2], vxf) @@ -161,10 +156,9 @@ def parse_args(): def plot_func(problem, state, epoch, frame, cbinfo=None): domain = problem.domain extra = problem.extra - args = extra.args path0 = "u_{:05d}.png".format(frame) path1 = "vx_{:05d}.png".format(frame) - path2 = "vy_{:05d}.png".format(frame) + "vy_{:05d}.png".format(frame) printlog(path0) slices_it = np.linspace(0, domain.cshape[0], 5, dtype=int) diff --git a/examples/wave/wave.py b/examples/wave/wave.py index d437e41..d4401ad 100755 --- a/examples/wave/wave.py +++ b/examples/wave/wave.py @@ -5,8 +5,6 @@ import pickle import odil -from odil import plotutil -import matplotlib.pyplot as plt from odil import printlog from odil.runtime import tf @@ -34,7 +32,7 @@ def operator_wave(ctx): dt, dx = ctx.step() it, ix = ctx.indices() nt, nx = ctx.size() - x = ctx.points("x") + ctx.points("x") def stencil_var(key): st = [ @@ -170,8 +168,6 @@ def plot_func(problem, state, epoch, frame, cbinfo=None): def get_error(domain, extra, state, key): - args = extra.args - mod = domain.mod if key == "u": state_u = domain.field(state, key) ref_u = extra.ref_u @@ -244,7 +240,7 @@ def main(): ) odil.util.optimize(args, args.optimizer, problem, state, callback) - with open("done", "w") as f: + with open("done", "w"): pass diff --git a/src/odil/__init__.py b/src/odil/__init__.py index f56a748..fc6f6c2 100644 --- a/src/odil/__init__.py +++ b/src/odil/__init__.py @@ -1,4 +1,5 @@ -import os, sys +import os +import sys import importlib.util diff --git a/src/odil/core.py b/src/odil/core.py index 57268be..790641d 100644 --- a/src/odil/core.py +++ b/src/odil/core.py @@ -2,7 +2,7 @@ import pickle import math -from .util import assert_equal, printlog +from .util import assert_equal from .backend import ModTensorflow from . import core_min @@ -250,7 +250,7 @@ def multigrid_to_regular(self, mgfield): mod = self.mod factors = mgfield.factors or self.mg_factors or [1] * len(cshapes) axes = mgfield.axes or self.mg_axes - shapes = [self._get_field_shape(term.cshape, loc=mgfield.loc) for term in mgfield.terms] + [self._get_field_shape(term.cshape, loc=mgfield.loc) for term in mgfield.terms] assert_equal(len(factors), len(mgfield.terms)) assert_equal(len(axes), len(mgfield.terms[0].cshape)) method = mgfield.method or self.mg_interp @@ -361,7 +361,6 @@ def arrays_from_field(self, field): """ Returns list of data arrays of `field`. """ - mod = self.mod if isinstance(field, Field): return [field.array] elif isinstance(field, MultigridField): @@ -377,7 +376,6 @@ def arrays_from_state(self, state): """ Returns list of data arrays from fields in `state`. """ - mod = self.mod res = [] for key in state.fields: res += self.arrays_from_field(state.fields[key]) @@ -493,7 +491,8 @@ def neural_net(self, state, key): net = state.fields[key] if not isinstance(net, NeuralNet): raise TypeError("Expected NeuralNet, got type {} for key='{}'".format(type(net).__name__, key)) - res = lambda *inputs: eval_neural_net(net, inputs, self.mod) + def res(*inputs): + return eval_neural_net(net, inputs, self.mod) return res def get_context(self, state, extra=None, tracers=None): @@ -652,7 +651,8 @@ def interp_to_finer(u, loc=None, method=None, mod=None, depth=1): w = mod.cast(mod.reshape(w, w.shape + (1, 1)), u.dtype) # Output shape. - oshape = lambda s: {"n": s * 2 + 1, "c": s * 2 + 2, ".": s} + def oshape(s): + return {"n": s * 2 + 1, "c": s * 2 + 2, ".": s} oshape = tuple(oshape(s)[l] for l, s in zip(loc, upad.shape)) oshape = (1,) + oshape + (1,) strides = tuple(1 if l == "." else 2 for l in loc) @@ -979,7 +979,8 @@ def neural_net(self, key, frozen=False): self.watch_func(arrays) if self.distinct_shift: self.key_to_array_jac[(key, None, None)] = arrays - res = lambda *inputs: eval_neural_net(net, inputs, self.mod, frozen=frozen) + def res(*inputs): + return eval_neural_net(net, inputs, self.mod, frozen=frozen) return res @@ -1115,7 +1116,6 @@ def linearize(self, state, modsp=None): mod = domain.mod modsp = modsp or mod.modsp if modsp is None: - import scipy import scipy.sparse as modsp values, grads, names = self.eval_operator_grad(state) diff --git a/src/odil/plot.py b/src/odil/plot.py index 6803814..004fab6 100644 --- a/src/odil/plot.py +++ b/src/odil/plot.py @@ -1,7 +1,6 @@ import matplotlib import matplotlib.pyplot as plt import matplotlib.patches -import os import numpy as np diff --git a/src/odil/plotutil.py b/src/odil/plotutil.py index 605e84e..f070ef6 100644 --- a/src/odil/plotutil.py +++ b/src/odil/plotutil.py @@ -36,7 +36,8 @@ def apply_clip_box(ax, artists, lower=(0, 0), upper=(1, 1.02)): def savefig(fig, path_without_ext, extlist=None, skip_existing=False, printf=None, **kwargs): if printf is None: - printf = lambda _: None + def printf(_): + return None if extlist is None: extlist = g_extlist for ext in extlist: diff --git a/src/odil/runtime.py b/src/odil/runtime.py index e3663bf..7ba1505 100644 --- a/src/odil/runtime.py +++ b/src/odil/runtime.py @@ -39,7 +39,7 @@ backend_name = "jax" except: - sys.stderr.write(f"Cannot select a default backend. Tried: tensorflow, jax\n") + sys.stderr.write("Cannot select a default backend. Tried: tensorflow, jax\n") exit(1) if backend_name == "tf": diff --git a/src/odil/util.py b/src/odil/util.py index 142504a..668bb62 100644 --- a/src/odil/util.py +++ b/src/odil/util.py @@ -150,7 +150,6 @@ def add_arguments(parser): def optimize_newton(args, problem, state, callback=None, **kwargs): domain = problem.domain - mod = domain.mod def eval_pinfo(state): loss, _, terms, names, norms = problem.eval_loss_grad(state) @@ -319,7 +318,8 @@ def setup_outdir(args, relpath_args=None): setattr(args, k, os.path.relpath(getattr(args, k), start=outdir)) # Update arguments. - mulint = lambda v, k: None if v is None else max(1, round(v * k)) + def mulint(v, k): + return None if v is None else max(1, round(v * k)) args.plot_every = mulint(args.plot_every, args.every_factor) args.history_every = mulint(args.history_every, args.every_factor) args.report_every = mulint(args.report_every, args.every_factor) diff --git a/tests/test_domain.py b/tests/test_domain.py index 395a06b..3391485 100755 --- a/tests/test_domain.py +++ b/tests/test_domain.py @@ -3,7 +3,6 @@ import numpy as np from copy import deepcopy import odil -from odil.runtime import mod cases = ["pack", "arrays"] diff --git a/tests/test_newton.py b/tests/test_newton.py index 38c2d62..a1ab852 100755 --- a/tests/test_newton.py +++ b/tests/test_newton.py @@ -2,11 +2,9 @@ import argparse import numpy as np -import scipy import scipy.sparse as sp import odil -from odil import printlog def operator(ctx): diff --git a/tests/test_optimize.py b/tests/test_optimize.py index 8b4de17..56b3842 100755 --- a/tests/test_optimize.py +++ b/tests/test_optimize.py @@ -4,7 +4,6 @@ import numpy as np import odil -from odil import printlog def operator(ctx): @@ -48,7 +47,6 @@ def make_problem(args): mg_axes=[True, True], mg_nlvl=args.nlvl, ) - mod = domain.mod dtype = domain.dtype xx, yy = domain.points("x", "y", loc="cn") From d478d8d27839936c9266ee581e3ac802948e7dfc Mon Sep 17 00:00:00 2001 From: Petr Karnakov Date: Sun, 12 Oct 2025 22:07:18 +0200 Subject: [PATCH 06/17] ruff: more fixes --- Makefile | 4 +- examples/basic/fields.ipynb | 139 +++++++++++++-------------- examples/heat/heat.py | 5 +- examples/poisson/poisson.py | 2 - pyproject.toml | 15 ++- src/odil/__init__.py | 58 ++++++----- src/odil/core.py | 11 ++- src/odil/history.py | 4 +- src/odil/optimizer.py | 2 +- src/odil/plotutil.py | 2 + src/odil/requirements.txt | 3 - src/odil/runtime.py | 12 +-- src/odil/util.py | 3 +- uv.lock | 186 +++++++++++++++++++++++++++++++++++- 14 files changed, 318 insertions(+), 128 deletions(-) delete mode 100644 src/odil/requirements.txt diff --git a/Makefile b/Makefile index 4c142c0..01e1b42 100644 --- a/Makefile +++ b/Makefile @@ -10,7 +10,7 @@ release: V=$$(sed -rn 's/^version = "(.*)"$$/\1/p' pyproject.toml) && git archive --prefix="odil-$$V/" -o "odil-$$V.tar.gz" HEAD lint: - ruff check $(RUFF_FLAGS) - black $(BLACK_FLAGS) + ruff check --fix --output-format concise $(RUFF_FLAGS) . + black $(BLACK_FLAGS) . .PHONY: default release lint diff --git a/examples/basic/fields.ipynb b/examples/basic/fields.ipynb index d9ecaf6..9852f17 100644 --- a/examples/basic/fields.ipynb +++ b/examples/basic/fields.ipynb @@ -18,11 +18,14 @@ "outputs": [], "source": [ "import sys\n", - "if 'google.colab' in sys.modules and 'odil' not in sys.modules:\n", + "\n", + "if \"google.colab\" in sys.modules and \"odil\" not in sys.modules:\n", " %pip install -q git+https://github.com/cselab/odil\n", "import argparse\n", "import numpy as np\n", "import odil\n", + "\n", + "\n", "def operator(ctx):\n", " res = []\n", "\n", @@ -30,124 +33,114 @@ " return x * 0.25 + y * 0.5\n", "\n", " # Cells.\n", - " xc, yc = ctx.points(loc='cc')\n", - " uc = ctx.field('uc')\n", - " res += [('uc', uc - func(xc, yc))]\n", + " xc, yc = ctx.points(loc=\"cc\")\n", + " uc = ctx.field(\"uc\")\n", + " res += [(\"uc\", uc - func(xc, yc))]\n", "\n", " # Nodes.\n", - " xn, yn = ctx.points(loc='nn')\n", - " un = ctx.field('un')\n", - " res += [('un', un - func(xn, yn))]\n", + " xn, yn = ctx.points(loc=\"nn\")\n", + " un = ctx.field(\"un\")\n", + " res += [(\"un\", un - func(xn, yn))]\n", "\n", " # Faces in x.\n", - " xfx, yfx = ctx.points(loc='nc')\n", - " ufx = ctx.field('ufx')\n", - " res += [('ufx', ufx - func(xfx, yfx))]\n", + " xfx, yfx = ctx.points(loc=\"nc\")\n", + " ufx = ctx.field(\"ufx\")\n", + " res += [(\"ufx\", ufx - func(xfx, yfx))]\n", "\n", " # Faces in y.\n", - " xfy, yfy = ctx.points(loc='cn')\n", - " ufy = ctx.field('ufy')\n", - " res += [('ufy', ufy - func(xfy, yfy))]\n", + " xfy, yfy = ctx.points(loc=\"cn\")\n", + " ufy = ctx.field(\"ufy\")\n", + " res += [(\"ufy\", ufy - func(xfy, yfy))]\n", " return res\n", "\n", "\n", "def parse_args():\n", - " parser = argparse.ArgumentParser(\n", - " formatter_class=argparse.ArgumentDefaultsHelpFormatter)\n", - " parser.add_argument('--Nx', type=int, default=8, help=\"Grid size in x\")\n", - " parser.add_argument('--Ny', type=int, default=4, help=\"Grid size in y\")\n", - " parser.add_argument('--plot', type=int, default=1, help=\"Plot fields\")\n", + " parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)\n", + " parser.add_argument(\"--Nx\", type=int, default=8, help=\"Grid size in x\")\n", + " parser.add_argument(\"--Ny\", type=int, default=4, help=\"Grid size in y\")\n", + " parser.add_argument(\"--plot\", type=int, default=1, help=\"Plot fields\")\n", " odil.util.add_arguments(parser)\n", " odil.linsolver.add_arguments(parser)\n", - " parser.set_defaults(outdir='out_fields')\n", + " parser.set_defaults(outdir=\"out_fields\")\n", " parser.set_defaults(multigrid=1)\n", - " parser.set_defaults(optimizer='adamn', lr=1e-2)\n", - " parser.set_defaults(frames=1,\n", - " plot_every=100,\n", - " report_every=10,\n", - " history_every=10)\n", + " parser.set_defaults(optimizer=\"adamn\", lr=1e-2)\n", + " parser.set_defaults(frames=1, plot_every=100, report_every=10, history_every=10)\n", " return parser.parse_args()\n", "\n", "\n", "def plot(problem, state, epoch, frame, cbinfo=None):\n", " import matplotlib.pyplot as plt\n", + "\n", " domain = problem.domain\n", " fig, ax = plt.subplots(figsize=(4, 2))\n", - " kw = dict(vmin=0, vmax=1, cmap='Greys', clip_on=False, lw=0.5)\n", + " kw = dict(vmin=0, vmax=1, cmap=\"Greys\", clip_on=False, lw=0.5)\n", "\n", " # Cells.\n", - " xc, yc = domain.points(loc='cc')\n", - " uc = domain.field(state, 'uc')\n", - " ax.scatter(xc, yc, s=10, c=uc, edgecolor='C0', label='uc', **kw)\n", + " xc, yc = domain.points(loc=\"cc\")\n", + " uc = domain.field(state, \"uc\")\n", + " ax.scatter(xc, yc, s=10, c=uc, edgecolor=\"C0\", label=\"uc\", **kw)\n", "\n", " # Nodes.\n", - " xn, yn = domain.points(loc='nn')\n", - " un = domain.field(state, 'un')\n", - " ax.scatter(xn, yn, s=10, c=un, edgecolor='C1', label='un', **kw)\n", + " xn, yn = domain.points(loc=\"nn\")\n", + " un = domain.field(state, \"un\")\n", + " ax.scatter(xn, yn, s=10, c=un, edgecolor=\"C1\", label=\"un\", **kw)\n", "\n", " # Faces in x.\n", - " xfx, yfx = domain.points(loc='nc')\n", - " ufx = domain.field(state, 'ufx')\n", - " ax.scatter(xfx, yfx, s=10, c=ufx, edgecolor='C2', label='ufx', **kw)\n", + " xfx, yfx = domain.points(loc=\"nc\")\n", + " ufx = domain.field(state, \"ufx\")\n", + " ax.scatter(xfx, yfx, s=10, c=ufx, edgecolor=\"C2\", label=\"ufx\", **kw)\n", "\n", " # Faces in y.\n", - " xfy, yfy = domain.points(loc='cn')\n", - " ufy = domain.field(state, 'ufy')\n", - " ax.scatter(xfy, yfy, s=10, c=ufy, edgecolor='C3', label='ufy', **kw)\n", - "\n", - " ax.legend(loc='lower left',\n", - " bbox_to_anchor=(0.1, 1),\n", - " ncol=4,\n", - " handletextpad=0)\n", - "\n", - " ax.pcolormesh(xn,\n", - " yn,\n", - " uc,\n", - " edgecolor='k',\n", - " shading='flat',\n", - " zorder=0,\n", - " **dict(kw, lw=0.5))\n", - "\n", - " ax.set_aspect('equal')\n", + " xfy, yfy = domain.points(loc=\"cn\")\n", + " ufy = domain.field(state, \"ufy\")\n", + " ax.scatter(xfy, yfy, s=10, c=ufy, edgecolor=\"C3\", label=\"ufy\", **kw)\n", + "\n", + " ax.legend(loc=\"lower left\", bbox_to_anchor=(0.1, 1), ncol=4, handletextpad=0)\n", + "\n", + " ax.pcolormesh(xn, yn, uc, edgecolor=\"k\", shading=\"flat\", zorder=0, **dict(kw, lw=0.5))\n", + "\n", + " ax.set_aspect(\"equal\")\n", " ax.set_axis_off()\n", " display(fig)\n", "\n", "\n", "def make_problem(args):\n", " dtype = np.float64 if args.double else np.float32\n", - " domain = odil.Domain(cshape=(args.Nx, args.Ny),\n", - " dimnames=['x', 'y'],\n", - " lower=(0, 0),\n", - " upper=(2, 1),\n", - " dtype=dtype,\n", - " multigrid=args.multigrid,\n", - " mg_interp=args.mg_interp,\n", - " mg_axes=[True, True],\n", - " mg_nlvl=args.nlvl)\n", - " xx, yy = domain.points('x', 'y', loc='cn')\n", - " ixx, iyy = domain.indices('x', 'y', loc='cc')\n", + " domain = odil.Domain(\n", + " cshape=(args.Nx, args.Ny),\n", + " dimnames=[\"x\", \"y\"],\n", + " lower=(0, 0),\n", + " upper=(2, 1),\n", + " dtype=dtype,\n", + " multigrid=args.multigrid,\n", + " mg_interp=args.mg_interp,\n", + " mg_axes=[True, True],\n", + " mg_nlvl=args.nlvl,\n", + " )\n", + " xx, yy = domain.points(\"x\", \"y\", loc=\"cn\")\n", + " ixx, iyy = domain.indices(\"x\", \"y\", loc=\"cc\")\n", "\n", " from odil import Field\n", "\n", " state = odil.State(\n", " fields={\n", - " 'uc': Field(np.zeros(domain.size(loc='cc')), loc='cc'),\n", - " 'un': Field(np.zeros(domain.size(loc='nn')), loc='nn'),\n", - " 'ufx': Field(np.zeros(domain.size(loc='nc')), loc='nc'),\n", - " 'ufy': Field(np.zeros(domain.size(loc='cn')), loc='cn'),\n", - " 'net': domain.make_neural_net([2, 4, 2]),\n", - " })\n", + " \"uc\": Field(np.zeros(domain.size(loc=\"cc\")), loc=\"cc\"),\n", + " \"un\": Field(np.zeros(domain.size(loc=\"nn\")), loc=\"nn\"),\n", + " \"ufx\": Field(np.zeros(domain.size(loc=\"nc\")), loc=\"nc\"),\n", + " \"ufy\": Field(np.zeros(domain.size(loc=\"cn\")), loc=\"cn\"),\n", + " \"net\": domain.make_neural_net([2, 4, 2]),\n", + " }\n", + " )\n", " state = domain.init_state(state)\n", " problem = odil.Problem(operator, domain)\n", " return problem, state\n", "\n", - "sys.argv = ['fields']\n", + "\n", + "sys.argv = [\"fields\"]\n", "args = parse_args()\n", "odil.setup_outdir(args)\n", "problem, state = make_problem(args)\n", - "callback = odil.make_callback(problem,\n", - " args,\n", - " plot_func=plot if args.plot else None)\n", + "callback = odil.make_callback(problem, args, plot_func=plot if args.plot else None)\n", "odil.util.optimize_grad(args, args.optimizer, problem, state, callback)" ] } diff --git a/examples/heat/heat.py b/examples/heat/heat.py index 2974116..a3c956a 100755 --- a/examples/heat/heat.py +++ b/examples/heat/heat.py @@ -3,10 +3,11 @@ import argparse import numpy as np import pickle +import os import odil import matplotlib.pyplot as plt -from odil import printlog +from odil import printlog, history from odil.runtime import tf @@ -514,7 +515,7 @@ def add_extra(d, *keys): state.fields["u_net"] = domain.make_neural_net([2] + args.arch_u + [1]) operator = operator_pinn else: - raise RuntimeError(f"Unknown solver={solver}") + raise RuntimeError(f"Unknown solver={args.solver}") if args.infer_k: state.fields["k_net"] = domain.make_neural_net([1] + args.arch_k + [1]) diff --git a/examples/poisson/poisson.py b/examples/poisson/poisson.py index 55ceeae..e22afb9 100755 --- a/examples/poisson/poisson.py +++ b/examples/poisson/poisson.py @@ -204,8 +204,6 @@ def plot_func(problem, state, epoch, frame, cbinfo): d["u"] = u d["ref_u"] = extra.ref_u d["rhs"] = extra.rhs - if 0 and args.multigrid: # XXX - d["u_cumsum"] = [q.numpy() for q in us] d = odil.core.struct_to_numpy(mod, d) with open(path, "wb") as f: pickle.dump(d, f) diff --git a/pyproject.toml b/pyproject.toml index ad8b391..8f3ff4b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,10 +33,6 @@ Issues = "https://github.com/cselab/odil/issues" requires = ["hatchling"] build-backend = "hatchling.build" -[tool.black] -line-length = 120 -target-version = ['py312'] - [project.optional-dependencies] tensorflow = ["tensorflow>=2.19.0"] jax = ["jax[cuda13]>=0.7.0"] @@ -44,7 +40,16 @@ jax = ["jax[cuda13]>=0.7.0"] [dependency-groups] dev = [ "pytest>=7.4.4", - "black>=25.9.0", + "black[jupyter]>=25.0.0", "ruff>=0.14.0", "mypy>=1.18.2", ] + +[tool.black] +line-length = 120 +target-version = ['py312'] + +[tool.ruff] +lint.ignore = [ + "E741", # Ambiguous variable name +] diff --git a/src/odil/__init__.py b/src/odil/__init__.py index fc6f6c2..d980e62 100644 --- a/src/odil/__init__.py +++ b/src/odil/__init__.py @@ -1,20 +1,4 @@ -import os -import sys -import importlib.util - - -def lazy_import(name): - spec = importlib.util.find_spec(name) - loader = importlib.util.LazyLoader(spec.loader) - spec.loader = loader - module = importlib.util.module_from_spec(spec) - sys.modules[name] = module - loader.exec_module(module) - return module - - -runtime = lazy_import("odil.runtime") -plot = lazy_import("odil.plot") +# ruff: noqa: F401 from .io import ( parse_raw_xmf, @@ -24,8 +8,14 @@ def lazy_import(name): write_raw_with_xmf, write_vtk_poly, ) -from .backend import ModBase, ModNumpy, ModTensorflow -from .history import History +from .backend import ( + ModBase, + ModNumpy, + ModTensorflow, +) +from .history import ( + History, +) from .util import ( setup_outdir, optimize, @@ -43,9 +33,29 @@ def lazy_import(name): Array, restrict_to_coarser, ) -from . import linsolver -from . import core_min -from . import core -from .optimizer import EarlyStopError +from . import ( + linsolver, + core_min, + core, +) +from .optimizer import ( + EarlyStopError, +) + + +def lazy_import(name): + import os + import sys + import importlib.util + + spec = importlib.util.find_spec(name) + loader = importlib.util.LazyLoader(spec.loader) + spec.loader = loader + module = importlib.util.module_from_spec(spec) + sys.modules[name] = module + loader.exec_module(module) + return module + -del os, sys, importlib +runtime = lazy_import("odil.runtime") +plot = lazy_import("odil.plot") diff --git a/src/odil/core.py b/src/odil/core.py index 790641d..a4e2895 100644 --- a/src/odil/core.py +++ b/src/odil/core.py @@ -248,7 +248,7 @@ def multigrid_to_regular(self, mgfield): Multigrid components on levels `self.mg_cshapes`. """ mod = self.mod - factors = mgfield.factors or self.mg_factors or [1] * len(cshapes) + factors = mgfield.factors or self.mg_factors axes = mgfield.axes or self.mg_axes [self._get_field_shape(term.cshape, loc=mgfield.loc) for term in mgfield.terms] assert_equal(len(factors), len(mgfield.terms)) @@ -282,7 +282,7 @@ def regular_to_multigrid(self, field, cshapes=None, factors=None, method=None): """ mod = self.mod if isinstance(field, (MultigridField, NeuralNet)): - raise TypeError("Expected Field or ndarray, got type {}".format(type(net).__name__)) + raise TypeError("Expected Field or ndarray, got type {}".format(type(field).__name__)) field = self.init_field(field) cshapes = cshapes or self.mg_cshapes @@ -491,8 +491,10 @@ def neural_net(self, state, key): net = state.fields[key] if not isinstance(net, NeuralNet): raise TypeError("Expected NeuralNet, got type {} for key='{}'".format(type(net).__name__, key)) + def res(*inputs): return eval_neural_net(net, inputs, self.mod) + return res def get_context(self, state, extra=None, tracers=None): @@ -653,6 +655,7 @@ def interp_to_finer(u, loc=None, method=None, mod=None, depth=1): # Output shape. def oshape(s): return {"n": s * 2 + 1, "c": s * 2 + 2, ".": s} + oshape = tuple(oshape(s)[l] for l, s in zip(loc, upad.shape)) oshape = (1,) + oshape + (1,) strides = tuple(1 if l == "." else 2 for l in loc) @@ -909,7 +912,7 @@ def field(self, key, *shift, loc=None, frozen=False): field = self.state.fields[key] if not isinstance(field, (Field, MultigridField, Array)): raise TypeError( - "Expected Field or MultigridField, got type {} for key='{}'".format(type(net).__name__, key) + "Expected Field or MultigridField, got type {} for key='{}'".format(type(field).__name__, key) ) if isinstance(field, Array): if len(shift): @@ -979,8 +982,10 @@ def neural_net(self, key, frozen=False): self.watch_func(arrays) if self.distinct_shift: self.key_to_array_jac[(key, None, None)] = arrays + def res(*inputs): return eval_neural_net(net, inputs, self.mod, frozen=frozen) + return res diff --git a/src/odil/history.py b/src/odil/history.py index 02d9141..e3b0f6d 100644 --- a/src/odil/history.py +++ b/src/odil/history.py @@ -22,9 +22,9 @@ def __init__(self, csvpath=None, warmup=0): def _none_like(value): if value is None: return None - elif type(value) in [float, np.float32, np.float64]: + elif isinstance(value, (float, np.float32, np.float64)): return 0.0 - elif type(value) == int: + elif isinstance(value, int): return 0 else: assert "Unknown type: " + str(type(value)) diff --git a/src/odil/optimizer.py b/src/odil/optimizer.py index a29b238..2e581bb 100644 --- a/src/odil/optimizer.py +++ b/src/odil/optimizer.py @@ -294,7 +294,7 @@ def run( beta_2=0.999, epsilon=1e-7, jit=True, - **kwargs + **kwargs, ): """ Based on diff --git a/src/odil/plotutil.py b/src/odil/plotutil.py index f070ef6..4b53271 100644 --- a/src/odil/plotutil.py +++ b/src/odil/plotutil.py @@ -36,8 +36,10 @@ def apply_clip_box(ax, artists, lower=(0, 0), upper=(1, 1.02)): def savefig(fig, path_without_ext, extlist=None, skip_existing=False, printf=None, **kwargs): if printf is None: + def printf(_): return None + if extlist is None: extlist = g_extlist for ext in extlist: diff --git a/src/odil/requirements.txt b/src/odil/requirements.txt deleted file mode 100644 index 26a2b43..0000000 --- a/src/odil/requirements.txt +++ /dev/null @@ -1,3 +0,0 @@ -matplotlib -scipy -numpy diff --git a/src/odil/runtime.py b/src/odil/runtime.py index 7ba1505..d7088c0 100644 --- a/src/odil/runtime.py +++ b/src/odil/runtime.py @@ -1,6 +1,6 @@ import os import sys -import numpy as np +import numpy from .backend import ModNumpy, ModTensorflow @@ -30,7 +30,7 @@ import tensorflow as tf backend_name = "tf" - except: + except ImportError: pass if not backend_name: @@ -38,7 +38,7 @@ import jax backend_name = "jax" - except: + except ImportError: sys.stderr.write("Cannot select a default backend. Tried: tensorflow, jax\n") exit(1) @@ -75,11 +75,7 @@ # Default data type. dtype_name = os.environ.get("ODIL_DTYPE", "float32") if dtype_name in ["float32", "float64"]: - dtype = np.dtype(dtype_name) + dtype = numpy.dtype(dtype_name) else: sys.stderr.write(f"Expected ODIL_DTYPE=float32 or float64, got '{dtype}' \n") exit(1) - -del os -del np -del sys diff --git a/src/odil/util.py b/src/odil/util.py index 668bb62..31c6a9e 100644 --- a/src/odil/util.py +++ b/src/odil/util.py @@ -267,7 +267,7 @@ def get_gpu_memory_usage_kb(): d = jax.devices()[0] used = d.memory_stats()["bytes_in_use"] // 1024 pool = d.memory_stats()["pool_bytes"] // 1024 - except: + except AttributeError: pass return used, pool @@ -320,6 +320,7 @@ def setup_outdir(args, relpath_args=None): # Update arguments. def mulint(v, k): return None if v is None else max(1, round(v * k)) + args.plot_every = mulint(args.plot_every, args.every_factor) args.history_every = mulint(args.history_every, args.every_factor) 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a/Makefile b/Makefile index 01e1b42..6d32a45 100644 --- a/Makefile +++ b/Makefile @@ -1,5 +1,9 @@ RUFF_FLAGS = BLACK_FLAGS = +MYPY_FLAGS = + +MYPY_TARGETS = \ + src/odil/history.py \ default: @@ -10,7 +14,10 @@ release: V=$$(sed -rn 's/^version = "(.*)"$$/\1/p' pyproject.toml) && git archive --prefix="odil-$$V/" -o "odil-$$V.tar.gz" HEAD lint: - ruff check --fix --output-format concise $(RUFF_FLAGS) . + ruff check --fix $(RUFF_FLAGS) . black $(BLACK_FLAGS) . -.PHONY: default release lint +mypy: + mypy $(MYPY_FLAGS) $(MYPY_TARGETS) + +.PHONY: default release lint mypy diff --git a/pyproject.toml b/pyproject.toml index 8f3ff4b..120c45e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -53,3 +53,12 @@ target-version = ['py312'] lint.ignore = [ "E741", # Ambiguous variable name ] +output-format = 'concise' + +[tool.mypy] +python_version = "3.12" +warn_return_any = true +warn_unused_configs = true +disallow_untyped_defs = true +disallow_incomplete_defs = true +ignore_missing_imports = true diff --git a/src/odil/history.py b/src/odil/history.py index e3b0f6d..f35db4c 100644 --- a/src/odil/history.py +++ b/src/odil/history.py @@ -1,25 +1,29 @@ import numpy as np import pickle +from typing import cast + + +Value = float | str | np.float32 | np.float64 | np.ndarray | None class History: - def __init__(self, csvpath=None, warmup=0): + def __init__(self, csvpath: str | None = None, warmup: int = 0): """ warmup: `int` Write only if `self.count > warmup`. Useful if unknown columns appear after the first row. """ - self.data = dict() # Data columns. + self.data: dict[str, list[Value]] = dict() # Data columns. self.count = 0 # Current number of entries. self.warmup = warmup self.csvcount = 0 # Current number of entries written to CSV. self.csvpath = csvpath - self.csvkeys = None + self.csvkeys: list[str] | None = None self.csvfile = open(csvpath, "w") if csvpath is not None else None @staticmethod - def _none_like(value): + def _none_like(value: Value) -> Value: if value is None: return None elif isinstance(value, (float, np.float32, np.float64)): @@ -27,9 +31,9 @@ def _none_like(value): elif isinstance(value, int): return 0 else: - assert "Unknown type: " + str(type(value)) + raise ValueError("Unknown type: " + str(type(value))) - def append(self, key, value=None): + def append(self, key: str, value: Value | None = None) -> None: assert value is None or isinstance( value, ( @@ -52,7 +56,10 @@ def append(self, key, value=None): value = self._none_like(self.data[key][-1]) self.data[key].append(value) - def commit(self): # Finish the current entry. + def commit(self) -> None: + """ + Finish the current entry. + """ maxlen = max(len(self.data[k]) for k in self.data) fail = "" for k, v in self.data.items(): @@ -62,14 +69,14 @@ def commit(self): # Finish the current entry. raise RuntimeError("Missing values for columns: " + fail) self.count += 1 - def get(self, key, default=None): - return self.data.get(key, default) + def get(self, key: str, default: Value | None = None) -> Value: + return cast(Value, self.data.get(key, default)) - def append_dict(self, newdict): + def append_dict(self, newdict: dict[str, Value]) -> None: for k, v in newdict.items(): self.append(k, v) - def write(self, nocommit=False): + def write(self, nocommit: bool = False) -> None: """ Writes pending rows to current file. """ @@ -94,14 +101,14 @@ def write(self, nocommit=False): self.csvcount += 1 self.csvfile.flush() - def save(self, path): + def save(self, path: str) -> None: """ Saves data to pickle. """ with open(path, "wb") as f: pickle.dump(self.data, f) - def load(self, path): + def load(self, path: str) -> None: """ Overwrites data from pickle. """ @@ -111,5 +118,6 @@ def load(self, path): self.count = len(next(iter(self.data.values()))) self.write(nocommit=True) - def close(self): - self.csvfile.close() + def close(self) -> None: + if self.csvfile: + self.csvfile.close() From a485ff9cac14f31f858e5a97ed6ffd5288440cfc Mon Sep 17 00:00:00 2001 From: Petr Karnakov Date: Sun, 12 Oct 2025 22:42:34 +0200 Subject: [PATCH 08/17] workflows: add black --- .github/workflows/black.yml | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 .github/workflows/black.yml diff --git a/.github/workflows/black.yml b/.github/workflows/black.yml new file mode 100644 index 0000000..b76fd90 --- /dev/null +++ b/.github/workflows/black.yml @@ -0,0 +1,23 @@ +name: Black + +on: + push: + branches: + - main + pull_request: + branches: + - main + +jobs: + black: + runs-on: ubuntu-24.04 + steps: + - uses: actions/checkout@v5 + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: '3.12' + - name: Install black + run: pip install black + - name: Run black --check + run: black --check . From 68df9bf62f951659edc8e72318aa59464d341232 Mon Sep 17 00:00:00 2001 From: Petr Karnakov Date: Sun, 12 Oct 2025 22:51:17 +0200 Subject: [PATCH 09/17] workflows: add mypy --- .github/workflows/black.yml | 2 +- .github/workflows/mypy.yml | 29 +++++++++++++++++++++++++++++ 2 files changed, 30 insertions(+), 1 deletion(-) create mode 100644 .github/workflows/mypy.yml diff --git a/.github/workflows/black.yml b/.github/workflows/black.yml index b76fd90..ab9fb0c 100644 --- a/.github/workflows/black.yml +++ b/.github/workflows/black.yml @@ -16,7 +16,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v5 with: - python-version: '3.12' + python-version-file: ".python-version" - name: Install black run: pip install black - name: Run black --check diff --git a/.github/workflows/mypy.yml b/.github/workflows/mypy.yml new file mode 100644 index 0000000..6e95096 --- /dev/null +++ b/.github/workflows/mypy.yml @@ -0,0 +1,29 @@ +name: Mypy + +on: + push: + branches: + - main + pull_request: + branches: + - main + +jobs: + mypy: + runs-on: ubuntu-24.04 + + steps: + - uses: actions/checkout@v5 + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version-file: ".python-version" + - name: Install uv + uses: astral-sh/setup-uv@v6 + - name: Install the project + run: uv sync --locked --dev + - name: Run mypy + run: | + . .venv/bin/activate + make mypy + From 667bef2c283bdc80c37ed05f7cefbbe30955f9aa Mon Sep 17 00:00:00 2001 From: Petr Karnakov Date: Sun, 12 Oct 2025 22:52:34 +0200 Subject: [PATCH 10/17] break mypy --- src/odil/history.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/odil/history.py b/src/odil/history.py index f35db4c..b4f9d41 100644 --- a/src/odil/history.py +++ b/src/odil/history.py @@ -108,7 +108,7 @@ def save(self, path: str) -> None: with open(path, "wb") as f: pickle.dump(self.data, f) - def load(self, path: str) -> None: + def load(self, path: str) -> int: """ Overwrites data from pickle. """ From 03e2651279e83ae2ef9b46f7f6f03532081779ec Mon Sep 17 00:00:00 2001 From: Petr Karnakov Date: Sun, 12 Oct 2025 22:53:07 +0200 Subject: [PATCH 11/17] Revert "break mypy" This reverts commit 57b2beed40c006f65a0ceeeb8a3a227b60433b32. --- src/odil/history.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/odil/history.py b/src/odil/history.py index b4f9d41..f35db4c 100644 --- a/src/odil/history.py +++ b/src/odil/history.py @@ -108,7 +108,7 @@ def save(self, path: str) -> None: with open(path, "wb") as f: pickle.dump(self.data, f) - def load(self, path: str) -> int: + def load(self, path: str) -> None: """ Overwrites data from pickle. """ From 9b92f205515c0ac46ad154f6566534a4da45a77c Mon Sep 17 00:00:00 2001 From: Petr Karnakov Date: Sun, 12 Oct 2025 23:08:35 +0200 Subject: [PATCH 12/17] workflows: add ruff --- .github/workflows/black.yml | 14 ++++++++------ .github/workflows/mypy.yml | 12 ++++-------- .github/workflows/ruff.yml | 25 +++++++++++++++++++++++++ 3 files changed, 37 insertions(+), 14 deletions(-) create mode 100644 .github/workflows/ruff.yml diff --git a/.github/workflows/black.yml b/.github/workflows/black.yml index ab9fb0c..910e54f 100644 --- a/.github/workflows/black.yml +++ b/.github/workflows/black.yml @@ -1,4 +1,4 @@ -name: Black +name: black on: push: @@ -9,7 +9,7 @@ on: - main jobs: - black: + check: runs-on: ubuntu-24.04 steps: - uses: actions/checkout@v5 @@ -17,7 +17,9 @@ jobs: uses: actions/setup-python@v5 with: python-version-file: ".python-version" - - name: Install black - run: pip install black - - name: Run black --check - run: black --check . + - name: Install uv + uses: astral-sh/setup-uv@v6 + - name: Install project + run: uv sync --locked --dev + - name: Run black + run: uv run black --check . diff --git a/.github/workflows/mypy.yml b/.github/workflows/mypy.yml index 6e95096..6334f58 100644 --- a/.github/workflows/mypy.yml +++ b/.github/workflows/mypy.yml @@ -1,4 +1,4 @@ -name: Mypy +name: mypy on: push: @@ -9,9 +9,8 @@ on: - main jobs: - mypy: + check: runs-on: ubuntu-24.04 - steps: - uses: actions/checkout@v5 - name: Set up Python @@ -20,10 +19,7 @@ jobs: python-version-file: ".python-version" - name: Install uv uses: astral-sh/setup-uv@v6 - - name: Install the project + - name: Install project run: uv sync --locked --dev - name: Run mypy - run: | - . .venv/bin/activate - make mypy - + run: uv run make mypy diff --git a/.github/workflows/ruff.yml b/.github/workflows/ruff.yml new file mode 100644 index 0000000..27b6556 --- /dev/null +++ b/.github/workflows/ruff.yml @@ -0,0 +1,25 @@ +name: ruff + +on: + push: + branches: + - main + pull_request: + branches: + - main + +jobs: + check: + runs-on: ubuntu-24.04 + steps: + - uses: actions/checkout@v5 + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version-file: ".python-version" + - name: Install uv + uses: astral-sh/setup-uv@v6 + - name: Install project + run: uv sync --locked --dev + - name: Run ruff + run: uv run ruff check From fe488ee98821a708ec2cd428404d5babbae58a57 Mon Sep 17 00:00:00 2001 From: Petr Karnakov Date: Sun, 12 Oct 2025 23:32:32 +0200 Subject: [PATCH 13/17] workflows: add tests --- .github/workflows/tests.yml | 25 +++++++++++++++++++++++++ src/odil/util.py | 2 +- tests/test_mg_interp.py | 1 + tests/test_mg_restrict.py | 1 + 4 files changed, 28 insertions(+), 1 deletion(-) create mode 100644 .github/workflows/tests.yml diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml new file mode 100644 index 0000000..f2056d4 --- /dev/null +++ b/.github/workflows/tests.yml @@ -0,0 +1,25 @@ +name: tests + +on: + push: + branches: + - main + pull_request: + branches: + - main + +jobs: + check: + runs-on: ubuntu-24.04 + steps: + - uses: actions/checkout@v5 + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version-file: ".python-version" + - name: Install uv + uses: astral-sh/setup-uv@v6 + - name: Install project + run: uv sync --locked --dev --extra tensorflow + - name: Run tests + run: uv run make -C tests all_tf -j diff --git a/src/odil/util.py b/src/odil/util.py index 31c6a9e..cff3e2f 100644 --- a/src/odil/util.py +++ b/src/odil/util.py @@ -267,7 +267,7 @@ def get_gpu_memory_usage_kb(): d = jax.devices()[0] used = d.memory_stats()["bytes_in_use"] // 1024 pool = d.memory_stats()["pool_bytes"] // 1024 - except AttributeError: + except (AttributeError, TypeError): pass return used, pool diff --git a/tests/test_mg_interp.py b/tests/test_mg_interp.py index 185176d..c53fa77 100755 --- a/tests/test_mg_interp.py +++ b/tests/test_mg_interp.py @@ -46,6 +46,7 @@ def main(): try: failed, msg = test(method, ndim, loc) except Exception as e: + failed = True msg = e count_failed += bool(failed) print( diff --git a/tests/test_mg_restrict.py b/tests/test_mg_restrict.py index 1d87a24..0a84047 100755 --- a/tests/test_mg_restrict.py +++ b/tests/test_mg_restrict.py @@ -55,6 +55,7 @@ def main(): try: failed, msg = test(method, ndim, loc) except Exception as e: + failed = True msg = e count_failed += bool(failed) print( From c3b98cbe4e955bc671fb890c66a7062e859b0059 Mon Sep 17 00:00:00 2001 From: Petr Karnakov Date: Sun, 12 Oct 2025 23:50:04 +0200 Subject: [PATCH 14/17] workflows: merge to lint --- .github/workflows/{black.yml => lint.yml} | 6 +++++- .github/workflows/mypy.yml | 25 ----------------------- .github/workflows/ruff.yml | 25 ----------------------- 3 files changed, 5 insertions(+), 51 deletions(-) rename .github/workflows/{black.yml => lint.yml} (80%) delete mode 100644 .github/workflows/mypy.yml delete mode 100644 .github/workflows/ruff.yml diff --git a/.github/workflows/black.yml b/.github/workflows/lint.yml similarity index 80% rename from .github/workflows/black.yml rename to .github/workflows/lint.yml index 910e54f..435392e 100644 --- a/.github/workflows/black.yml +++ b/.github/workflows/lint.yml @@ -1,4 +1,4 @@ -name: black +name: lint on: push: @@ -21,5 +21,9 @@ jobs: uses: astral-sh/setup-uv@v6 - name: Install project run: uv sync --locked --dev + - name: Run ruff + run: uv run ruff check - name: Run black run: uv run black --check . + - name: Run mypy + run: uv run make mypy diff --git a/.github/workflows/mypy.yml b/.github/workflows/mypy.yml deleted file mode 100644 index 6334f58..0000000 --- a/.github/workflows/mypy.yml +++ /dev/null @@ -1,25 +0,0 @@ -name: mypy - -on: - push: - branches: - - main - pull_request: - branches: - - main - -jobs: - check: - runs-on: ubuntu-24.04 - steps: - - uses: actions/checkout@v5 - - name: Set up Python - uses: actions/setup-python@v5 - with: - python-version-file: ".python-version" - - name: Install uv - uses: astral-sh/setup-uv@v6 - - name: Install project - run: uv sync --locked --dev - - name: Run mypy - run: uv run make mypy diff --git a/.github/workflows/ruff.yml b/.github/workflows/ruff.yml deleted file mode 100644 index 27b6556..0000000 --- a/.github/workflows/ruff.yml +++ /dev/null @@ -1,25 +0,0 @@ -name: ruff - -on: - push: - branches: - - main - pull_request: - branches: - - main - -jobs: - check: - runs-on: ubuntu-24.04 - steps: - - uses: actions/checkout@v5 - - name: Set up Python - uses: actions/setup-python@v5 - with: - python-version-file: ".python-version" - - name: Install uv - uses: astral-sh/setup-uv@v6 - - name: Install project - run: uv sync --locked --dev - - name: Run ruff - run: uv run ruff check From 964d46cb623e2e9622d2e1e43a16fa14efe7af4f Mon Sep 17 00:00:00 2001 From: Petr Karnakov Date: Sun, 12 Oct 2025 23:51:34 +0200 Subject: [PATCH 15/17] ruff: I --- examples/basic/fields.ipynb | 2 + examples/basic/fields.py | 7 +-- examples/heat/heat.py | 9 ++-- examples/heat/plot_train.py | 6 ++- examples/heat_tmax/heat_tmax.py | 7 +-- examples/infer_constant/infer_constant.py | 7 +-- examples/poisson/plot_field.py | 6 ++- examples/poisson/plot_train.py | 6 ++- examples/poisson/poisson.py | 9 ++-- examples/velocity_from_tracer/veltracer.py | 4 +- examples/wave/wave.py | 3 +- pyproject.toml | 4 ++ src/odil/__init__.py | 50 +++++++++++----------- src/odil/backend.py | 3 +- src/odil/cache.py | 2 +- src/odil/core.py | 9 ++-- src/odil/core_min.py | 3 +- src/odil/history.py | 2 +- src/odil/io.py | 1 + src/odil/optimizer.py | 3 +- src/odil/plot.py | 3 +- src/odil/plotutil.py | 5 ++- src/odil/runtime.py | 1 + src/odil/util.py | 11 ++--- tests/test_domain.py | 4 +- tests/test_io.py | 4 +- tests/test_mg_interp.py | 2 + tests/test_mg_restrict.py | 2 + tests/test_newton.py | 3 +- tests/test_optimize.py | 3 +- 30 files changed, 109 insertions(+), 72 deletions(-) diff --git a/examples/basic/fields.ipynb b/examples/basic/fields.ipynb index 9852f17..a952fe9 100644 --- a/examples/basic/fields.ipynb +++ b/examples/basic/fields.ipynb @@ -22,7 +22,9 @@ "if \"google.colab\" in sys.modules and \"odil\" not in sys.modules:\n", " %pip install -q git+https://github.com/cselab/odil\n", "import argparse\n", + "\n", "import numpy as np\n", + "\n", "import odil\n", "\n", "\n", diff --git a/examples/basic/fields.py b/examples/basic/fields.py index 7a29d0b..7196f87 100755 --- a/examples/basic/fields.py +++ b/examples/basic/fields.py @@ -1,11 +1,12 @@ #!/usr/bin/env python3 import argparse + +import matplotlib.pyplot as plt import numpy as np + import odil -from odil import printlog -from odil import plotutil -import matplotlib.pyplot as plt +from odil import plotutil, printlog """ Demonstrates the use of fields with values centered in cell, faces, and nodes. diff --git a/examples/heat/heat.py b/examples/heat/heat.py index a3c956a..08ae713 100755 --- a/examples/heat/heat.py +++ b/examples/heat/heat.py @@ -1,13 +1,14 @@ #!/usr/bin/env python3 import argparse -import numpy as np -import pickle import os +import pickle -import odil import matplotlib.pyplot as plt -from odil import printlog, history +import numpy as np + +import odil +from odil import history, printlog from odil.runtime import tf diff --git a/examples/heat/plot_train.py b/examples/heat/plot_train.py index 9e325d6..7cb94d5 100755 --- a/examples/heat/plot_train.py +++ b/examples/heat/plot_train.py @@ -1,10 +1,12 @@ #!/usr/bin/env python3 -import numpy as np import argparse import os -from odil import plotutil + import matplotlib.pyplot as plt +import numpy as np + +from odil import plotutil def load_csv(path): diff --git a/examples/heat_tmax/heat_tmax.py b/examples/heat_tmax/heat_tmax.py index e739dbe..455eabb 100755 --- a/examples/heat_tmax/heat_tmax.py +++ b/examples/heat_tmax/heat_tmax.py @@ -1,11 +1,12 @@ #!/usr/bin/env python3 import argparse + +import matplotlib.pyplot as plt import numpy as np + import odil -from odil import printlog -from odil import plotutil -import matplotlib.pyplot as plt +from odil import plotutil, printlog def get_ref_u(t, x, args): diff --git a/examples/infer_constant/infer_constant.py b/examples/infer_constant/infer_constant.py index aaf1dfa..9a27cab 100755 --- a/examples/infer_constant/infer_constant.py +++ b/examples/infer_constant/infer_constant.py @@ -1,11 +1,12 @@ #!/usr/bin/env python3 import argparse + +import matplotlib.pyplot as plt import numpy as np + import odil -from odil import printlog -from odil import plotutil -import matplotlib.pyplot as plt +from odil import plotutil, printlog """ Infers unknown constant parameters of an advection-diffusion equation diff --git a/examples/poisson/plot_field.py b/examples/poisson/plot_field.py index 4c5557e..54352f3 100755 --- a/examples/poisson/plot_field.py +++ b/examples/poisson/plot_field.py @@ -1,10 +1,12 @@ #!/usr/bin/env python3 -import pickle import argparse -from odil import plotutil +import pickle + import matplotlib.pyplot as plt +from odil import plotutil + plotutil.set_extlist(["png"]) diff --git a/examples/poisson/plot_train.py b/examples/poisson/plot_train.py index 477d950..fc87209 100755 --- a/examples/poisson/plot_train.py +++ b/examples/poisson/plot_train.py @@ -1,9 +1,11 @@ #!/usr/bin/env python3 -import numpy as np import argparse -from odil import plotutil + import matplotlib.pyplot as plt +import numpy as np + +from odil import plotutil plotutil.set_extlist(["png"]) diff --git a/examples/poisson/poisson.py b/examples/poisson/poisson.py index e22afb9..28abb39 100755 --- a/examples/poisson/poisson.py +++ b/examples/poisson/poisson.py @@ -1,12 +1,13 @@ #!/usr/bin/env python3 import argparse -import numpy as np import pickle -import odil -from odil import plotutil + import matplotlib.pyplot as plt -from odil import printlog +import numpy as np + +import odil +from odil import plotutil, printlog """ Solves the Poisson equation in a multi-dimensional cube diff --git a/examples/velocity_from_tracer/veltracer.py b/examples/velocity_from_tracer/veltracer.py index f705f38..141aad1 100755 --- a/examples/velocity_from_tracer/veltracer.py +++ b/examples/velocity_from_tracer/veltracer.py @@ -1,10 +1,12 @@ #!/usr/bin/env python3 import argparse + +import matplotlib.pyplot as plt import numpy as np + import odil from odil import printlog -import matplotlib.pyplot as plt def u_init_smooth(x, y): diff --git a/examples/wave/wave.py b/examples/wave/wave.py index d4401ad..6b898ba 100755 --- a/examples/wave/wave.py +++ b/examples/wave/wave.py @@ -1,9 +1,10 @@ #!/usr/bin/env python3 import argparse -import numpy as np import pickle +import numpy as np + import odil from odil import printlog from odil.runtime import tf diff --git a/pyproject.toml b/pyproject.toml index 120c45e..d785f69 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -50,10 +50,14 @@ line-length = 120 target-version = ['py312'] [tool.ruff] +lint.select = [ + "I", # Import sorting +] lint.ignore = [ "E741", # Ambiguous variable name ] output-format = 'concise' +line-length = 120 [tool.mypy] python_version = "3.12" diff --git a/src/odil/__init__.py b/src/odil/__init__.py index d980e62..78335b3 100644 --- a/src/odil/__init__.py +++ b/src/odil/__init__.py @@ -1,52 +1,52 @@ # ruff: noqa: F401 -from .io import ( - parse_raw_xmf, - read_raw, - read_raw_with_xmf, - write_raw_xmf, - write_raw_with_xmf, - write_vtk_poly, +from . import ( + core, + core_min, + linsolver, ) from .backend import ( ModBase, ModNumpy, ModTensorflow, ) -from .history import ( - History, -) -from .util import ( - setup_outdir, - optimize, - make_callback, - printlog, - set_log_file, -) from .core import ( + Array, Domain, - State, - Problem, Field, MultigridField, NeuralNet, - Array, + Problem, + State, restrict_to_coarser, ) -from . import ( - linsolver, - core_min, - core, +from .history import ( + History, +) +from .io import ( + parse_raw_xmf, + read_raw, + read_raw_with_xmf, + write_raw_with_xmf, + write_raw_xmf, + write_vtk_poly, ) from .optimizer import ( EarlyStopError, ) +from .util import ( + make_callback, + optimize, + printlog, + set_log_file, + setup_outdir, +) def lazy_import(name): + import importlib.util import os import sys - import importlib.util spec = importlib.util.find_spec(name) loader = importlib.util.LazyLoader(spec.loader) diff --git a/src/odil/backend.py b/src/odil/backend.py index 5162116..8722cb6 100644 --- a/src/odil/backend.py +++ b/src/odil/backend.py @@ -3,10 +3,11 @@ The interface tends to follow NumPy's conventions. """ -import numpy as np from argparse import Namespace from functools import partial +import numpy as np + class ModBase: diff --git a/src/odil/cache.py b/src/odil/cache.py index ab1a33b..7998a63 100644 --- a/src/odil/cache.py +++ b/src/odil/cache.py @@ -1,5 +1,5 @@ -import os import functools +import os def cache_to_file(targetbase, update=False, name_with_arg0=False): diff --git a/src/odil/core.py b/src/odil/core.py index a4e2895..0d71276 100644 --- a/src/odil/core.py +++ b/src/odil/core.py @@ -1,10 +1,11 @@ -import numpy as np -import pickle import math +import pickle + +import numpy as np -from .util import assert_equal -from .backend import ModTensorflow from . import core_min +from .backend import ModTensorflow +from .util import assert_equal class Domain: diff --git a/src/odil/core_min.py b/src/odil/core_min.py index 657ffc1..7fea3f6 100644 --- a/src/odil/core_min.py +++ b/src/odil/core_min.py @@ -1,6 +1,7 @@ -import numpy as np from argparse import Namespace +import numpy as np + class Domain: diff --git a/src/odil/history.py b/src/odil/history.py index f35db4c..6894212 100644 --- a/src/odil/history.py +++ b/src/odil/history.py @@ -1,7 +1,7 @@ -import numpy as np import pickle from typing import cast +import numpy as np Value = float | str | np.float32 | np.float64 | np.ndarray | None diff --git a/src/odil/io.py b/src/odil/io.py index 242f515..6bb0abf 100644 --- a/src/odil/io.py +++ b/src/odil/io.py @@ -1,5 +1,6 @@ import os import re + import numpy as np diff --git a/src/odil/optimizer.py b/src/odil/optimizer.py index 2e581bb..d8bc1c7 100644 --- a/src/odil/optimizer.py +++ b/src/odil/optimizer.py @@ -1,6 +1,7 @@ -import numpy as np from argparse import Namespace +import numpy as np + class Optimizer: diff --git a/src/odil/plot.py b/src/odil/plot.py index 004fab6..f748f42 100644 --- a/src/odil/plot.py +++ b/src/odil/plot.py @@ -1,7 +1,6 @@ import matplotlib -import matplotlib.pyplot as plt import matplotlib.patches - +import matplotlib.pyplot as plt import numpy as np diff --git a/src/odil/plotutil.py b/src/odil/plotutil.py index 4b53271..3d3204d 100644 --- a/src/odil/plotutil.py +++ b/src/odil/plotutil.py @@ -1,13 +1,14 @@ import os -import numpy as np import matplotlib +import numpy as np if int(os.environ.get("ODIL_AGG", 1)): matplotlib.use("Agg") -import matplotlib.pyplot as plt import logging +import matplotlib.pyplot as plt + logging.getLogger("matplotlib.font_manager").setLevel(logging.ERROR) mplstyle = os.path.join(os.path.dirname(os.path.realpath(__file__)), "odil.mplstyle") if int(os.environ.get("ODIL_STYLE", 1)): diff --git a/src/odil/runtime.py b/src/odil/runtime.py index d7088c0..4aab80b 100644 --- a/src/odil/runtime.py +++ b/src/odil/runtime.py @@ -1,5 +1,6 @@ import os import sys + import numpy from .backend import ModNumpy, ModTensorflow diff --git a/src/odil/util.py b/src/odil/util.py index cff3e2f..5810b74 100644 --- a/src/odil/util.py +++ b/src/odil/util.py @@ -1,13 +1,14 @@ -import sys -import os -import json import argparse -import psutil +import json +import os +import sys import time + import numpy as np +import psutil -from .optimizer import make_optimizer, Optimizer from .history import History +from .optimizer import Optimizer, make_optimizer g_log_file = sys.stderr # File used by printlog() g_log_echo = False # True if printlog() should print to stderr. diff --git a/tests/test_domain.py b/tests/test_domain.py index 3391485..9549899 100755 --- a/tests/test_domain.py +++ b/tests/test_domain.py @@ -1,7 +1,9 @@ #!/usr/bin/env python3 -import numpy as np from copy import deepcopy + +import numpy as np + import odil cases = ["pack", "arrays"] diff --git a/tests/test_io.py b/tests/test_io.py index 3d11a8a..af38efa 100755 --- a/tests/test_io.py +++ b/tests/test_io.py @@ -1,9 +1,11 @@ #!/usr/bin/env python3 import unittest -import odil + import numpy as np +import odil + class TestIO(unittest.TestCase): diff --git a/tests/test_mg_interp.py b/tests/test_mg_interp.py index c53fa77..99ae257 100755 --- a/tests/test_mg_interp.py +++ b/tests/test_mg_interp.py @@ -1,7 +1,9 @@ #!/usr/bin/env python3 import argparse + import numpy as np + import odil from odil.runtime import mod diff --git a/tests/test_mg_restrict.py b/tests/test_mg_restrict.py index 0a84047..1cbd572 100755 --- a/tests/test_mg_restrict.py +++ b/tests/test_mg_restrict.py @@ -1,7 +1,9 @@ #!/usr/bin/env python3 import argparse + import numpy as np + import odil from odil.runtime import mod diff --git a/tests/test_newton.py b/tests/test_newton.py index a1ab852..55c203e 100755 --- a/tests/test_newton.py +++ b/tests/test_newton.py @@ -1,6 +1,7 @@ #!/usr/bin/env python3 import argparse + import numpy as np import scipy.sparse as sp @@ -71,7 +72,7 @@ def make_problem(args): ) dtype = domain.dtype - from odil import Field, Array + from odil import Array, Field state = odil.State( fields={ diff --git a/tests/test_optimize.py b/tests/test_optimize.py index 56b3842..92e2ef5 100755 --- a/tests/test_optimize.py +++ b/tests/test_optimize.py @@ -1,6 +1,7 @@ #!/usr/bin/env python3 import argparse + import numpy as np import odil @@ -52,7 +53,7 @@ def make_problem(args): xx, yy = domain.points("x", "y", loc="cn") ixx, iyy = domain.indices("x", "y", loc="cc") - from odil import Field, Array + from odil import Array, Field state = odil.State( fields={ From 71a9141bebb0d51ca5438f13d1b099458c0535fc Mon Sep 17 00:00:00 2001 From: Petr Karnakov Date: Sun, 12 Oct 2025 23:58:43 +0200 Subject: [PATCH 16/17] ruff: W --- examples/heat/README.py | 2 ++ pyproject.toml | 3 +++ 2 files changed, 5 insertions(+) diff --git a/examples/heat/README.py b/examples/heat/README.py index 70c6100..084c36e 100755 --- a/examples/heat/README.py +++ b/examples/heat/README.py @@ -1,5 +1,7 @@ #!/usr/bin/env python3 +# ruff: noqa W291 + import os text = """ diff --git a/pyproject.toml b/pyproject.toml index d785f69..d610b68 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -51,6 +51,9 @@ target-version = ['py312'] [tool.ruff] lint.select = [ + "E", # Style errors + "W", # Style warnings + "F", # Logical errors "I", # Import sorting ] lint.ignore = [ From 962cc86218d9e132d23ab858ad34ac420eb33bee Mon Sep 17 00:00:00 2001 From: Petr Karnakov Date: Mon, 13 Oct 2025 00:10:08 +0200 Subject: [PATCH 17/17] add .python-version --- .python-version | 1 + 1 file changed, 1 insertion(+) create mode 100644 .python-version diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..e4fba21 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.12