Fix CI

.github/workflows/python-package-conda.yml

@@ -19,13 +19,15 @@ jobs:
         shell: bash -l {0}
     strategy:
       matrix:
-        os: [ubuntu-latest, macOS-latest, windows-latest]
-        python-version: [3.7, 3.8, 3.9, "3.10"]
+        # NOTE: macOS-13 is the last Intel runner.
+        # When we move past that version we'll need to deal with Apple Silicon, likely using MUMPS.
+        os: [ubuntu-latest, windows-latest, macOS-13]
+        python-version: ["3.8", "3.9", "3.10", "3.11"]
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
     - name: Setup Conda
-      uses: conda-incubator/setup-miniconda@v2
+      uses: conda-incubator/setup-miniconda@v3
       with:
         auto-update-conda: true
         activate-environment: dev
@@ -56,7 +58,7 @@ jobs:
 
     - name: Upload coverage
       if: ${{ matrix.os == 'ubuntu-latest' }} and {{ matrix.python-version == '3.8' }}
-      uses: codecov/codecov-action@v2
+      uses: codecov/codecov-action@v4
       with:
         verbose: true # optional (default = false)
 
@@ -70,9 +72,9 @@ jobs:
         shell: bash -l {0}
 
     steps:
-    - uses: actions/checkout@v2
+    - uses: actions/checkout@v4
     - name: Setup Conda
-      uses: conda-incubator/setup-miniconda@v2
+      uses: conda-incubator/setup-miniconda@v3
       with:
         auto-update-conda: true
         activate-environment: dev

pymatsolver/iterative.py

@@ -1,8 +1,14 @@
 import numpy as np
+import scipy
 import scipy.sparse as sp
-from scipy.sparse.linalg import bicgstab
+from scipy.sparse.linalg import aslinearoperator, bicgstab
+from packaging.version import Version
 from pymatsolver.solvers import Base
 
+# The tol kwarg was removed from bicgstab in scipy 1.14.0.
+# See https://docs.scipy.org/doc/scipy-1.12.0/reference/generated/scipy.sparse.linalg.bicgstab.html
+TOL_ARG_NAME = "rtol" if Version(scipy.__version__) >= Version("1.14.0") else "tol"
+
 
 class BicgJacobi(Base):
     """Bicg Solver with Jacobi preconditioner"""
@@ -23,25 +29,37 @@ def factor(self):
             return
         nSize = self.A.shape[0]
         Ainv = sp.spdiags(1./self.A.diagonal(), 0, nSize, nSize)
-        self.M = sp.linalg.interface.aslinearoperator(Ainv)
+        self.M = aslinearoperator(Ainv)
         self._factored = True
 
     def _solve1(self, rhs):
         self.factor()
         sol, info = self.solver(
-            self.A, rhs,
-            tol=self.tol,
-            maxiter=self.maxiter,
-            M=self.M
+            self.A,
+            rhs,
+            **{
+                TOL_ARG_NAME: self.tol,
+                "maxiter": self.maxiter,
+                "M": self.M,
+            }
         )
         return sol
 
     def _solveM(self, rhs):
         self.factor()
         sol = []
         for icol in range(rhs.shape[1]):
-            sol.append(self.solver(self.A, rhs[:, icol].flatten(),
-                       tol=self.tol, maxiter=self.maxiter, M=self.M)[0])
+            sol.append(
+                self.solver(
+                    self.A,
+                    rhs[:, icol].flatten(),
+                    **{
+                        TOL_ARG_NAME: self.tol,
+                        "maxiter": self.maxiter,
+                        "M": self.M,
+                    }
+                )[0]
+            )
         out = np.hstack(sol)
         out.shape
         return out

requirements_docs.txt

@@ -1,3 +1,7 @@
 sphinx
 numpydoc
+
+# Restrict pydata-sphinx-theme on older versions of Python on Windows.
+# Otherwise we get doc build failures.
+pydata-sphinx-theme~=0.14.4,<0.15 ; python_version <= '3.9' and platform_system == "Windows"
 pydata-sphinx-theme

setup.py

@@ -33,7 +33,7 @@
     packages=find_packages(exclude=["*mumps", "tests"]),
     install_requires=[
         'numpy>=1.7',
-        'scipy>=0.13',
+        'scipy>=1.8',
     ],
     author="Rowan Cockett",
     author_email="[email protected]",