chore(ruff): #80 apply preliminary rules (#86)

* chore(ruff): #80 add to pre-commit

* chore(ruff): #80 automatic fixes

* chore(typo): #80

* chore(pre-commit): #80 add to pyproject.toml

* chore(ruff): #80 comment by @emptymalei #86 (comment)

Author: cmp0xff

.pre-commit-config.yaml

@@ -9,17 +9,22 @@ repos:
       - id: end-of-file-fixer
       - id: requirements-txt-fixer
       - id: trailing-whitespace
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    # Ruff version.
+    rev: v0.6.1
+    hooks:
+      # Run the linter.
+      - id: ruff
+        args:
+          - --fix
+          - --exit-non-zero-on-fix
+      # Run the formatter.
+      - id: ruff-format
   - repo: https://github.com/ambv/black
     rev: 24.4.2
     hooks:
     - id: black
       language: python
-  - repo: https://github.com/pycqa/isort
-    rev: 5.13.2
-    hooks:
-      - id: isort
-        name: isort (python)
-        args: ["--multi-line", "3", "--profile", "black", "--treat-comment-as-code", "# %%", "--float-to-top"]
   - repo: local
     # We do not use pre-commit/mirrors-mypy,
     # as it comes with opinionated defaults

docs/tutorials/harmonic_oscillator.py

@@ -91,19 +91,21 @@
 dfs_dho = []
 
 for s_name, s in dho_systems.items():
-
     dfs_dho.append(
         DampedHarmonicOscillator(system=s)(
-            n_periods=n_periods, n_samples_per_period=n_samples_per_period
-        ).assign(system=rf"{s_name} (omega = {s.get('omega')}, zeta = {s.get('zeta')})")
+            n_periods=n_periods,
+            n_samples_per_period=n_samples_per_period,
+        ).assign(
+            system=rf"{s_name} (omega = {s.get('omega')}, zeta = {s.get('zeta')})",
+        ),
     )
 
 fig = px.line(
     pd.concat(dfs_dho),
     x="t",
     y="x",
     color="system",
-    title=rf"Damped Harmonic Oscillator",
+    title=r"Damped Harmonic Oscillator",
     labels={
         "x": r"Displacement $x(t)$",
         "t": r"$t$",

docs/tutorials/kepler_problem.py

@@ -22,11 +22,7 @@
 # ## Usage
 
 # %%
-import numpy as np
-import pandas as pd
-import plotly.express as px
 
-from hamilflow.models.kepler_problem.model import Kepler2D
 
 # %%
 # system = {"alpha": 1.0, "mass": 1.0}

docs/tutorials/pendulum.py

@@ -47,7 +47,8 @@
 
 # %%
 df_pen = pen.generate_from(
-    n_periods=n_periods, n_samples_per_period=n_samples_per_period
+    n_periods=n_periods,
+    n_samples_per_period=n_samples_per_period,
 )
 df_pen.head()
 
@@ -62,7 +63,7 @@
     df_pen,
     x="t",
     y="x",
-    title=r"Simple Harmonic Oscillator ($\omega_0 = {:.4f})$".format(omega0),
+    title=rf"Simple Harmonic Oscillator ($\omega_0 = {omega0:.4f})$",
     labels=dict(x=r"Angle $\theta(t)$", t=r"Time $t$"),
 )
 

hamilflow/maths/trigonometrics.py

@@ -1,4 +1,3 @@
-from functools import partial
 from typing import TYPE_CHECKING
 
 import numpy as np

hamilflow/models/brownian_motion.py

@@ -181,7 +181,7 @@ def _trajectory(self, n_new_steps: int, seed: int) -> "npt.NDArray[np.float64]":
         )
 
         step_history = np.concatenate(
-            (np.expand_dims(self.initial_condition.x0, axis=0), step_history)
+            (np.expand_dims(self.initial_condition.x0, axis=0), step_history),
         )
 
         trajectory = np.cumsum(step_history, axis=0)

hamilflow/models/free_particle.py

@@ -39,7 +39,8 @@ class FreeParticle:
     """
 
     def __init__(
-        self, initial_condition: Mapping[str, float | Sequence[float]]
+        self,
+        initial_condition: Mapping[str, float | Sequence[float]],
     ) -> None:
         self.initial_condition = FreeParticleIC.model_validate(initial_condition)
 

hamilflow/models/harmonic_oscillator.py

@@ -159,7 +159,7 @@ def __init__(
         super().__init__(system, initial_condition)
         if self.system.type != "simple":
             raise ValueError(
-                f"System is not a Simple Harmonic Oscillator: {self.system}"
+                f"System is not a Simple Harmonic Oscillator: {self.system}",
             )
 
     def _x(self, t: "Sequence[float] | npt.ArrayLike") -> np.ndarray:
@@ -170,7 +170,7 @@ def _x(self, t: "Sequence[float] | npt.ArrayLike") -> np.ndarray:
         $$
         """
         return self.initial_condition.x0 * np.cos(
-            self.system.omega * np.array(t, copy=False) + self.initial_condition.phi
+            self.system.omega * np.array(t, copy=False) + self.initial_condition.phi,
         )
 
 
@@ -232,7 +232,7 @@ def __init__(
         if self.system.type == "simple":
             raise ValueError(
                 f"System is not a Damped Harmonic Oscillator: {self.system}\n"
-                f"This is a simple harmonic oscillator, use `SimpleHarmonicOscillator`."
+                f"This is a simple harmonic oscillator, use `SimpleHarmonicOscillator`.",
             )
 
     def _x_under_damped(self, t: "Sequence[float] | npt.ArrayLike") -> npt.ArrayLike:
@@ -277,7 +277,7 @@ def _x_critical_damped(self, t: "Sequence[float] | npt.ArrayLike") -> npt.ArrayL
         """
         t = np.array(t, copy=False)
         return self.initial_condition.x0 * np.exp(
-            -self.system.zeta * self.system.omega * t
+            -self.system.zeta * self.system.omega * t,
         )
 
     def _x_over_damped(self, t: "Sequence[float] | npt.ArrayLike") -> npt.ArrayLike:
@@ -318,7 +318,7 @@ def _x(self, t: "Sequence[float] | npt.ArrayLike") -> npt.ArrayLike:
             x = self._x_critical_damped(t)
         else:
             raise ValueError(
-                "System type is not damped harmonic oscillator: {self.system.type}"
+                f"System type is not damped harmonic oscillator: {self.system.type}",
             )
 
         return x
@@ -349,11 +349,11 @@ def __init__(
     ) -> None:
         self.system = HarmonicOscillatorSystem.model_validate(system)
         self.initial_condition = ComplexSimpleHarmonicOscillatorIC.model_validate(
-            initial_condition
+            initial_condition,
         )
         if self.system.type != "simple":
             raise ValueError(
-                f"System is not a Simple Harmonic Oscillator: {self.system}"
+                f"System is not a Simple Harmonic Oscillator: {self.system}",
             )
 
     @cached_property

hamilflow/models/harmonic_oscillator_chain.py

@@ -92,31 +92,36 @@ def definition(
         )
 
     def _z(
-        self, t: "Sequence[float] | npt.ArrayLike"
+        self,
+        t: "Sequence[float] | npt.ArrayLike",
     ) -> "tuple[npt.NDArray[np.complex64], npt.NDArray[np.complex64]]":
         t = np.array(t, copy=False).reshape(-1)
         all_travelling_waves = [self.free_mode._x(t).reshape(1, -1)]
 
         if self.independent_csho_modes:
             independent_cshos = np.array(
-                [o._z(t) for o in self.independent_csho_modes], copy=False
+                [o._z(t) for o in self.independent_csho_modes],
+                copy=False,
             )
             all_travelling_waves.extend(
-                (independent_cshos, independent_cshos[::-1].conj())
-                if self.odd_dof
-                else (
-                    independent_cshos[:-1],
-                    independent_cshos[[-1]],
-                    independent_cshos[-2::-1].conj(),
-                )
+                (
+                    (independent_cshos, independent_cshos[::-1].conj())
+                    if self.odd_dof
+                    else (
+                        independent_cshos[:-1],
+                        independent_cshos[[-1]],
+                        independent_cshos[-2::-1].conj(),
+                    )
+                ),
             )
 
         travelling_waves = np.concatenate(all_travelling_waves)
         original_zs = ifft(travelling_waves, axis=0, norm="ortho")
         return original_zs, travelling_waves
 
     def _x(
-        self, t: "Sequence[float] | npt.ArrayLike"
+        self,
+        t: "Sequence[float] | npt.ArrayLike",
     ) -> "tuple[npt.NDArray[np.float64], npt.NDArray[np.complex64]]":
         original_xs, travelling_waves = self._z(t)
 
@@ -133,7 +138,8 @@ def __call__(self, t: "Sequence[float] | npt.ArrayLike") -> pd.DataFrame:
         original_xs, travelling_waves = self._x(t)
         data = {  # type: ignore [var-annotated]
             f"{name}{i}": cast(
-                "npt.NDArray[np.float64] | npt.NDArray[np.complex64]", values
+                "npt.NDArray[np.float64] | npt.NDArray[np.complex64]",
+                values,
             )
             for name, xs in zip(("x", "y"), (original_xs, travelling_waves))
             for i, values in enumerate(xs)  # type: ignore [arg-type]

hamilflow/models/kepler_problem/dynamics.py

@@ -11,23 +11,26 @@
 
 
 def _tau_of_u_exact_elliptic(
-    ecc: float, u: "npt.NDArray[np.float64]"
+    ecc: float,
+    u: "npt.NDArray[np.float64]",
 ) -> "npt.NDArray[np.float64]":
     cosqr, eusqrt = 1 - ecc**2, np.sqrt(ecc**2 - u**2)
     trig_numer = np.pi / 2 - np.arctan((ecc**2 + u) / np.sqrt(cosqr) / eusqrt)
     return -eusqrt / cosqr / (1 + u) + trig_numer / cosqr**1.5
 
 
 def _tau_of_e_plus_u_elliptic(
-    ecc: float, u: "npt.NDArray[np.float64]"
+    ecc: float,
+    u: "npt.NDArray[np.float64]",
 ) -> "npt.NDArray[np.float64]":
     epu = np.sqrt(2 * (ecc + u) / ecc)
     const = np.pi / (1 - ecc**2) ** 1.5
     return const - epu / (ecc - 1) ** 2 + epu**3 * (1 - 9 * ecc) / 24 / (1 - ecc) ** 3
 
 
 def _tau_of_e_minus_u_elliptic(
-    ecc: float, u: "npt.NDArray[np.float64]"
+    ecc: float,
+    u: "npt.NDArray[np.float64]",
 ) -> "npt.NDArray[np.float64]":
     emu = np.sqrt(2 * (ecc - u) / ecc)
     return emu / (1 + ecc) ** 2 - emu**3 * (1 + 9 * ecc) / 24 / (1 + ecc) ** 3
@@ -49,7 +52,8 @@ def tau_of_u_parabolic(ecc: float, u: "npt.ArrayLike") -> "npt.NDArray[np.float6
 
 
 def _tau_of_u_exact_hyperbolic(
-    ecc: float, u: "npt.ArrayLike"
+    ecc: float,
+    u: "npt.ArrayLike",
 ) -> "npt.NDArray[np.float64]":
     u = np.array(u, copy=False)
     cosqr, eusqrt = ecc**2 - 1, np.sqrt(ecc**2 - u**2)
@@ -58,7 +62,8 @@ def _tau_of_u_exact_hyperbolic(
 
 
 def _tau_of_1_plus_u_hyperbolic(
-    ecc: float, u: "npt.NDArray[np.float64]"
+    ecc: float,
+    u: "npt.NDArray[np.float64]",
 ) -> "npt.NDArray[np.float64]":
     cosqr = ecc**2 - 1
     up1 = ecc * (1 + u) / 2 / cosqr
@@ -68,7 +73,8 @@ def _tau_of_1_plus_u_hyperbolic(
 
 
 def _tau_of_e_minus_u_hyperbolic(
-    ecc: float, u: "npt.NDArray[np.float64]"
+    ecc: float,
+    u: "npt.NDArray[np.float64]",
 ) -> "npt.NDArray[np.float64]":
     emu = np.sqrt(2 * (ecc - u) / ecc)
     return emu / (1 + ecc) ** 2 + emu**3 * (1 + 9 * ecc) / 24 / (1 + ecc) ** 3
@@ -96,7 +102,8 @@ def tau_of_u_prime2(ecc: float, u: "npt.ArrayLike") -> "npt.NDArray[np.float64]"
 
 
 def esolve_u_from_tau_parabolic(
-    ecc: float, tau: "npt.ArrayLike"
+    ecc: float,
+    tau: "npt.ArrayLike",
 ) -> "npt.NDArray[np.float64]":
     tau = np.array(tau, copy=False)
     tau_3 = 3 * tau