diff --git a/pyhyp/__init__.py b/pyhyp/__init__.py
index 31ce938..c3dbcc0 100644
--- a/pyhyp/__init__.py
+++ b/pyhyp/__init__.py
@@ -1,3 +1,3 @@
-__version__ = "2.3.0"
+__version__ = "2.3.1"
 
 from .pyHyp import pyHyp, pyHypMulti
diff --git a/pyhyp/pyHyp.py b/pyhyp/pyHyp.py
index 243b72b..a90bea5 100644
--- a/pyhyp/pyHyp.py
+++ b/pyhyp/pyHyp.py
@@ -380,15 +380,22 @@ def __init__(self, comm=None, options=None, debug=False):
 
         name = "pyHyp"
         category = "Hyperbolic mesh generator"
+        informs = {}
 
         # Set the possible MPI Intracomm
         if comm is None:
             comm = MPI.COMM_WORLD
-        self.comm = comm
 
         # Default options for hyperbolic generation
         defOpts = self._getDefaultOptions()
 
+        # Use supplied options
+        if options is None:
+            raise Error("The options = keyword argument is *NOT* optional. " "It must always be provided")
+
+        # Initialize the inherited BaseSolver
+        super().__init__(name, category, defaultOptions=defOpts, options=options, comm=comm, informs=informs)
+
         # Import and set the hyp module
         curDir = os.path.dirname(os.path.realpath(__file__))
         self.hyp = MExt.MExt("hyp", [curDir], debug=debug)._module
@@ -396,13 +403,6 @@ def __init__(self, comm=None, options=None, debug=False):
         # Initialize PETSc and MPI if not already done so:
         self.hyp.initpetsc(self.comm.py2f())
 
-        # Use supplied options
-        if options is None:
-            raise Error("The options = keyword argument is *NOT* optional. " "It must always be provided")
-
-        # Initialize the inherited BaseSolver
-        super().__init__(name, category, defOpts, options)
-
         # Set the fortan options
         self._setOptions()
         self.gridGenerated = False
diff --git a/setup.py b/setup.py
index b4bb76a..0964934 100644
--- a/setup.py
+++ b/setup.py
@@ -29,7 +29,7 @@
     install_requires=[
         "numpy>=1.16",
         "mpi4py>=3.0",
-        "mdolab-baseclasses>=1.2",
+        "mdolab-baseclasses>=1.3",
     ],
     classifiers=["Operating System :: Linux", "Programming Language :: Python, Fortran"],
 )