Preparing for v1.0.4 beta version

Author: jodemaey

documentation/source/conf.py

@@ -19,7 +19,7 @@
 project = 'LayerCake'
 copyright = '2025-2026, Jonathan Demaeyer and Oisín Hamilton'
 author = 'Jonathan Demaeyer and Oisín Hamilton'
-release = 'v1.0.3-alpha'
+release = 'v1.0.4-beta'
 version = release
 
 # -- General configuration ---------------------------------------------------

layercake/__init__.py

@@ -13,4 +13,4 @@
            'OperatorTerm', 'ProductOfTerms', 'AdditionOfTerms', 'LinearTerm', 'ConstantTerm', 'Equation', 'Laplacian', 'D',
            'Layer', 'Cake']
 
-__version__ = '1.0.3a0'
+__version__ = '1.0.4b0'

layercake/basis/base.py

@@ -227,18 +227,21 @@ def num_functions(self):
     from sympy import symbols, sin, exp
     from layercake.variables.coordinate import Coordinate
     from layercake.variables.systems import CoordinateSystem
+    from layercake.variables.parameter import Parameter
 
     xs, ys = symbols('x y')  # x and y coordinates on the model's spatial domain
     x = Coordinate("x", xs, extent=[0., 2 * np.pi])
     y = Coordinate("y", ys, extent=[0., np.pi])
     coord_sys = CoordinateSystem([x, y])
-    basis = SymbolicBasis(coord_sys)
     al = symbols('al')  # aspect ratio and alpha coefficients
+    alp = Parameter(0.1, symbol=al)
     n = Symbol('n', positive=True)
+    np = Parameter(1.3, symbol=n)
+    basis = SymbolicBasis(coord_sys, [np, alp])
     for i in range(1, 3):
         for j in range(1, 3):
             basis.append(2 * exp(- al * xs) * sin(j * n * xs / 2) * sin(i * ys))
 
-    basis.substitutions.append(('n', 1.))
-    basis.substitutions.append(('al', 1.))
+    # basis.substitutions.append(('n', 1.))
+    # basis.substitutions.append(('al', 1.))
 

pyproject.toml

@@ -7,7 +7,7 @@ requires = ["setuptools", "wheel"]
 [project]
 requires-python = ">=3.10"
 name = "layercake_model"
-version = "1.0.3-alpha"
+version = "1.0.4-beta"
 description = "A framework to design systems of partial differential equations (PDEs), and convert them to ordinary differential equations (ODEs) via Galerkin-type expansions. "
 readme = "README.md"
 authors = [