Apply extra Ruff rules

doc/ruff.toml

@@ -1,4 +1,9 @@
 extend = "../pyproject.toml"
 
 [lint]
-ignore = ["D"]
+extend-ignore = [
+    "A001",
+    "D",
+    "ERA001",
+    "INP001",
+]

examples/1INFILTR/validation.py

@@ -8,24 +8,23 @@
 """
 
 import itertools
-import os
-import sys
+from pathlib import Path
 
 import matplotlib.pyplot as plt
 import numpy as np
 
 r_unit = "cm"
 t_unit = "h"
 
-_filename = os.path.join(sys.path[0], "Nod_Inf.out")
+_filename = Path(__file__).parent / "Nod_Inf.out"
 
 
 t = []
 r = None
 theta = []
 velocity = []
 
-with open(_filename) as file:
+with _filename.open() as file:
     for i, line in enumerate(file):
         if i <= 10:
             continue  # Skip time 0

examples/HF135/validation.py

@@ -9,13 +9,12 @@
 
 """
 
-import os
-import sys
+from pathlib import Path
 
 import matplotlib.pyplot as plt
 import numpy as np
 
-_filename = os.path.join(sys.path[0], "groundwaterFoam_results.csv")
+_filename = Path(__file__).parent / "groundwaterFoam_results.csv"
 
 name = "porousMultiphaseFoam"
 

fronts/D.py

@@ -41,7 +41,8 @@
     is the simplest supported function.
     """
     if D0 <= 0:
-        raise ValueError("D0 must be positive")
+        msg = "D0 must be positive"
+        raise ValueError(msg)
 
     def D(_, derivatives=0):
         if derivatives == 0:
@@ -108,10 +109,12 @@
     elif not free:
         return constant(float(expr))
     else:
-        raise ValueError("expression cannot contain more than one variable")
+        msg = "expression cannot contain more than one variable"
+        raise ValueError(msg)
 
     if max_derivatives not in {0, 1, 2}:
-        raise ValueError("max_derivatives must be 0, 1 or 2")
+        msg = "max_derivatives must be 0, 1 or 2"
+        raise ValueError(msg)
 
     if max_derivatives == 0:
         func = sympy.lambdify(theta, expr, modules=np)
@@ -152,9 +155,8 @@
             if derivatives == 2 and max_derivatives == 2:
                 return funcs[0](theta), funcs[1](theta), funcs[2](theta)
 
-            raise ValueError(
-                f"derivatives must be one of {{{', '.join(str(n) for n in range(max_derivatives+1))}}}"
-            )
+            msg = f"derivatives must be one of {{{', '.join(str(n) for n in range(max_derivatives+1))}}}"
+            raise ValueError(msg)
 
     else:
         f0v = sympy.lambdify(theta, exprs[0], modules=np)
@@ -179,9 +181,8 @@
             if derivatives == 2 and max_derivatives == 2:
                 return (*f01(theta), f2(theta))
 
-            raise ValueError(
-                f"derivatives must be one of {{{', '.join(str(n) for n in range(max_derivatives+1))}}}"
-            )
+            msg = f"derivatives must be one of {{{', '.join(str(n) for n in range(max_derivatives+1))}}}"
+            raise ValueError(msg)
 
     return D
 
@@ -240,7 +241,8 @@
         if derivatives == 2:
             return D, dD_dtheta, d2D_dtheta2
 
-        raise ValueError("derivatives must be 0, 1, or 2")
+        msg = "derivatives must be 0, 1, or 2"
+        raise ValueError(msg)
 
     return D
 
@@ -278,18 +280,23 @@
     """
     if Ks is not None:
         if k is not None:
-            raise TypeError("cannot pass both Ks and k")
+            msg = "cannot pass both Ks and k"
+            raise TypeError(msg)
         if Ks <= 0:
-            raise ValueError("Ks must be positive")
+            msg = "Ks must be positive"
+            raise ValueError(msg)
         return Ks
 
     if k is not None:
         if k <= 0:
-            raise ValueError("k must be positive")
+            msg = "k must be positive"
+            raise ValueError(msg)
         if nu <= 0:
-            raise ValueError("nu must be positive")
+            msg = "nu must be positive"
+            raise ValueError(msg)
         if g <= 0:
-            raise ValueError("g must be positive")
+            msg = "g must be positive"
+            raise ValueError(msg)
         return g * k / nu
 
     return 1
@@ -373,12 +380,14 @@
     Papers, Colorado State University, 1964, vol. 24, p. 37.
     """
     if alpha <= 0:
-        raise ValueError("alpha must be positive")
+        msg = "alpha must be positive"
+        raise ValueError(msg)
 
     Ks = _as_Ks(Ks=Ks, k=k, nu=nu, g=g)
 
     if theta_range[1] <= theta_range[0]:
-        raise ValueError("theta_range[1] must be greater than theta_range[0]")
+        msg = "theta_range[1] must be greater than theta_range[0]"
+        raise ValueError(msg)
 
     # - Code generated with functionstr() from ../symbolic/generate.py - #
     # Source: ../symbolic/brooks_and_corey.py
@@ -398,7 +407,8 @@
         d2D_dtheta2 = x4 * (-3 * x3 + 2 + x2**2 / n**2) / x0**3
         if derivatives == 2:
             return D, dD_dtheta, d2D_dtheta2
-        raise ValueError("derivatives must be 0, 1 or 2")
+        msg = "derivatives must be 0, 1 or 2"
+        raise ValueError(msg)
 
     # ----------------------- End generated code ----------------------- #
 
@@ -498,24 +508,30 @@
     """
     if n is not None:
         if m is not None:
-            raise TypeError("cannot pass both n and m")
+            msg = "cannot pass both n and m"
+            raise TypeError(msg)
         if n <= 1:
-            raise ValueError("n must be greater than 1.0")
+            msg = "n must be greater than 1.0"
+            raise ValueError(msg)
         m = 1 - 1 / n
 
     elif m is None:
-        raise TypeError("either n or m must be given")
+        msg = "either n or m must be given"
+        raise TypeError(msg)
 
     if not (0 < m < 1):
-        raise ValueError("m must be strictly between 0.0 and 1.0")
+        msg = "m must be strictly between 0.0 and 1.0"
+        raise ValueError(msg)
 
     if alpha <= 0:
-        raise ValueError("alpha must be positive")
+        msg = "alpha must be positive"
+        raise ValueError(msg)
 
     Ks = _as_Ks(Ks=Ks, k=k, nu=nu, g=g)
 
     if theta_range[1] - theta_range[0] <= 0:
-        raise ValueError("theta_range[1] must be greater than theta_range[0]")
+        msg = "theta_range[1] must be greater than theta_range[0]"
+        raise ValueError(msg)
 
     # - Code generated with functionstr() from ../symbolic/generate.py - #
     # Source: ../symbolic/van_genuchten.py
@@ -578,7 +594,8 @@
         )
         if derivatives == 2:
             return D, dD_dtheta, d2D_dtheta2
-        raise ValueError("derivatives must be 0, 1 or 2")
+        msg = "derivatives must be 0, 1 or 2"
+        raise ValueError(msg)
 
     # ----------------------- End generated code ----------------------- #
 
@@ -825,7 +842,8 @@
         )
         if derivatives == 2:
             return D, dD_dtheta, d2D_dtheta2
-        raise ValueError("derivatives must be 0, 1 or 2")
+        msg = "derivatives must be 0, 1 or 2"
+        raise ValueError(msg)
 
     # ----------------------- End generated code ----------------------- #
 
@@ -919,7 +937,8 @@
         )
         if derivatives == 2:
             return D, dD_dtheta, d2D_dtheta2
-        raise ValueError("derivatives must be 0, 1 or 2")
+        msg = "derivatives must be 0, 1 or 2"
+        raise ValueError(msg)
 
     # ----------------------- End generated code ----------------------- #
 
@@ -1014,7 +1033,8 @@
         if derivatives == 2:
             return D, dD_dtheta, d2D_dtheta2
 
-        raise ValueError("derivatives must be 0, 1, or 2")
+        msg = "derivatives must be 0, 1, or 2"
+        raise ValueError(msg)
 
     return D
 
@@ -1046,15 +1066,18 @@
         try:
             D_, dD_dtheta = D(theta, 1)
         except (ValueError, ArithmeticError) as e:
-            raise ValueError(f"D({theta}, 1) failed with {e.__class__.__name__}") from e
+            msg = f"D({theta}, 1) failed with {e.__class__.__name__}"
+            raise ValueError(msg) from e
 
     try:
         D_ = float(D_)
         dD_dtheta = float(dD_dtheta)
     except TypeError as e:
-        raise ValueError(f"D({theta}, 1) returned wrong type") from e
+        msg = f"D({theta}, 1) returned wrong type"
+        raise ValueError(msg) from e
 
     if not np.isfinite(D_) or D_ <= 0 or not np.isfinite(dD_dtheta):
-        raise ValueError(f"D({theta}, 1) returned invalid value")
+        msg = f"D({theta}, 1) returned invalid value"
+        raise ValueError(msg)
 
     return D_

fronts/_boltzmann.py

@@ -194,11 +194,13 @@
     """
     if o is not None:
         if r is not None or t is not None:
-            raise TypeError("must pass either r and t, or just o")
+            msg = "must pass either r and t, or just o"
+            raise TypeError(msg)
         return o
 
     if r is None or t is None:
-        raise TypeError("must pass either r and t, or just o")
+        msg = "must pass either r and t, or just o"
+        raise TypeError(msg)
     return _o(r, t)
 
 
@@ -312,9 +314,8 @@
     try:
         k = _k[radial]
     except KeyError:
-        raise ValueError(
-            f"radial must be one of {{{', '.join(repr(key) for key in _k)}}}"
-        ) from None
+        msg = f"radial must be one of {{{', '.join(repr(key) for key in _k)}}}"
+        raise ValueError(msg) from None
 
     def fun(o, y):
         theta, dtheta_do = y

fronts/_inverse.py

@@ -43,7 +43,7 @@
                 first derivative at ``theta``
             *   ``D(theta, 2)`` returns the value of :math:`D`, its first
                 derivative, and its second derivative at ``theta``
-        
+
         In all cases, the argument ``theta`` may be a single float or a NumPy
         array.
 
@@ -66,20 +66,22 @@
     [1] GERLERO, G. S.; BERLI, C. L. A.; KLER, P. A. Open-source
     high-performance software packages for direct and inverse solving of
     horizontal capillary flow. Capillarity, 2023, vol. 6, no. 2, pp. 31-40.
-    
+
     [2] BRUCE, R. R.; KLUTE, A. The measurement of soil moisture diffusivity.
     Soil Science Society of America Journal, 1956, vol. 20, no. 4, pp. 458-462.
     """
     o = np.asarray(o)
 
     if not np.all(np.diff(o) > 0):
-        raise ValueError("o must be strictly increasing")
+        msg = "o must be strictly increasing"
+        raise ValueError(msg)
 
     samples = np.asarray(samples)
 
     dsamples = np.diff(samples)
     if not (np.all(dsamples >= -1e-12) or np.all(dsamples <= 1e-12)):
-        raise ValueError("samples must be monotonic")
+        msg = "samples must be monotonic"
+        raise ValueError(msg)
 
     i = samples[-1]
 
@@ -118,7 +120,8 @@
         if derivatives == 2:
             return D, dD_dtheta, d2D_dtheta2
 
-        raise ValueError("derivatives must be 0, 1, or 2")
+        msg = "derivatives must be 0, 1, or 2"
+        raise ValueError(msg)
 
     return D