Index: /issm/trunk-jpl/externalpackages/scipy/install-macosx64.sh
===================================================================
--- /issm/trunk-jpl/externalpackages/scipy/install-macosx64.sh	(revision 11790)
+++ /issm/trunk-jpl/externalpackages/scipy/install-macosx64.sh	(revision 11791)
@@ -4,5 +4,5 @@
 #2 install scipy
 #3 erase
-install=2;
+install=1;
 
 
Index: /issm/trunk-jpl/src/py/model/solvers/asmoptions.py
===================================================================
--- /issm/trunk-jpl/src/py/model/solvers/asmoptions.py	(revision 11791)
+++ /issm/trunk-jpl/src/py/model/solvers/asmoptions.py	(revision 11791)
@@ -0,0 +1,31 @@
+#module imports {{{
+from pairoptions import *
+from petscversion  import *
+#}}}
+def asmoptions(*args):
+	#ASMOPTIONS - return ASM petsc options
+	#
+	#   Usage:
+	#      options=asmoptions;
+	
+	#retrieve options provided in varargin
+	arguments=pairoptions(*args) 
+	
+	options=[['mat_type','aij'],['ksp_type','gmres'],['pc_type','asm'],['sub_pc_type','lu'],['pc_asm_overlap',3],['ksp_max_it',100],['ksp_rtol',1e-30]];
+
+	#now, go through our arguments, and write over default options.
+	for i in range(len(arguments.list)):
+		arg1=arguments.list[i][0]
+		arg2=arguments.list[i][1]
+		found=0;
+		for j in range(len(options)):
+			joption=options[j][0]
+			if joption==arg1:
+				joption[1]=arg2;
+				options[j]=joption;
+				found=1;
+				break
+		if not found:
+			#this option did not exist, add it: 
+			options.append([arg1,arg2])
+	return options
Index: /issm/trunk-jpl/src/py/model/solvers/jacobiasmoptions.py
===================================================================
--- /issm/trunk-jpl/src/py/model/solvers/jacobiasmoptions.py	(revision 11791)
+++ /issm/trunk-jpl/src/py/model/solvers/jacobiasmoptions.py	(revision 11791)
@@ -0,0 +1,31 @@
+#module imports {{{
+from pairoptions import *
+from petscversion  import *
+#}}}
+def jacobiasmoptions(*args):
+	#ASMOPTIONS - return Additive Shwartz Method with Jacobi preconditioner petsc options
+	#
+	#   Usage:
+	#      options=jacobiasmoptions;
+	
+	#retrieve options provided in varargin
+	arguments=pairoptions(*args) 
+	
+	options=[['mat_type','aij'],['ksp_type','gmres'],['pc_type','asm'],['sub_pc_type','jacobi'],['pc_asm_overlap',3],['ksp_max_it',100],['ksp_rtol',1e-15]];
+
+	#now, go through our arguments, and write over default options.
+	for i in range(len(arguments.list)):
+		arg1=arguments.list[i][0]
+		arg2=arguments.list[i][1]
+		found=0;
+		for j in range(len(options)):
+			joption=options[j][0]
+			if joption==arg1:
+				joption[1]=arg2;
+				options[j]=joption;
+				found=1;
+				break
+		if not found:
+			#this option did not exist, add it: 
+			options.append([arg1,arg2])
+	return options
Index: /issm/trunk-jpl/src/py/model/solvers/jacobicgoptions.py
===================================================================
--- /issm/trunk-jpl/src/py/model/solvers/jacobicgoptions.py	(revision 11791)
+++ /issm/trunk-jpl/src/py/model/solvers/jacobicgoptions.py	(revision 11791)
@@ -0,0 +1,31 @@
+#module imports {{{
+from pairoptions import *
+from petscversion  import *
+#}}}
+def jacobicgoptions(*args):
+	#ASMOPTIONS - return Additive Shwartz Method with Jacobi preconditioner petsc options
+	#
+	#   Usage:
+	#      options=jacobicgoptions;
+	
+	#retrieve options provided in varargin
+	arguments=pairoptions(*args) 
+	
+	options=[['mat_type','aij'],['ksp_type','cg'],['ksp_max_it',100],['ksp_rtol',1e-15]];
+
+	#now, go through our arguments, and write over default options.
+	for i in range(len(arguments.list)):
+		arg1=arguments.list[i][0]
+		arg2=arguments.list[i][1]
+		found=0;
+		for j in range(len(options)):
+			joption=options[j][0]
+			if joption==arg1:
+				joption[1]=arg2;
+				options[j]=joption;
+				found=1;
+				break
+		if not found:
+			#this option did not exist, add it: 
+			options.append([arg1,arg2])
+	return options
Index: /issm/trunk-jpl/src/py/model/solvers/matlaboptions.py
===================================================================
--- /issm/trunk-jpl/src/py/model/solvers/matlaboptions.py	(revision 11791)
+++ /issm/trunk-jpl/src/py/model/solvers/matlaboptions.py	(revision 11791)
@@ -0,0 +1,31 @@
+#module imports {{{
+from pairoptions import *
+from petscversion  import *
+#}}}
+def matlaboptions(*args):
+	#MATLABOPTIONS - return Matlab petsc options
+	#
+	#   Usage:
+	#      options=matlaboptions;
+	
+	#retrieve options provided in varargin
+	arguments=pairoptions(*args) 
+	
+	options=[['ksp_type','matlab']];
+
+	#now, go through our arguments, and write over default options.
+	for i in range(len(arguments.list)):
+		arg1=arguments.list[i][0]
+		arg2=arguments.list[i][1]
+		found=0;
+		for j in range(len(options)):
+			joption=options[j][0]
+			if joption==arg1:
+				joption[1]=arg2;
+				options[j]=joption;
+				found=1;
+				break
+		if not found:
+			#this option did not exist, add it: 
+			options.append([arg1,arg2])
+	return options
Index: /issm/trunk-jpl/src/py/model/solvers/soroptions.py
===================================================================
--- /issm/trunk-jpl/src/py/model/solvers/soroptions.py	(revision 11791)
+++ /issm/trunk-jpl/src/py/model/solvers/soroptions.py	(revision 11791)
@@ -0,0 +1,31 @@
+#module imports {{{
+from pairoptions import *
+from petscversion  import *
+#}}}
+def soroptions(*args):
+	#SOROPTIONS - return Relaxation Solver petsc options
+	#
+	#   Usage:
+	#      options=soroptions;
+	
+	#retrieve options provided in varargin
+	arguments=pairoptions(*args) 
+	
+	options=[['mat_type','aij'],['ksp_type','cg'],['pc_type','sor'],['pc_sor_omega',1.1],['pc_sor_its',2]];
+
+	#now, go through our arguments, and write over default options.
+	for i in range(len(arguments.list)):
+		arg1=arguments.list[i][0]
+		arg2=arguments.list[i][1]
+		found=0;
+		for j in range(len(options)):
+			joption=options[j][0]
+			if joption==arg1:
+				joption[1]=arg2;
+				options[j]=joption;
+				found=1;
+				break
+		if not found:
+			#this option did not exist, add it: 
+			options.append([arg1,arg2])
+	return options
Index: /issm/trunk-jpl/src/py/model/solvers/stokesoptions.py
===================================================================
--- /issm/trunk-jpl/src/py/model/solvers/stokesoptions.py	(revision 11791)
+++ /issm/trunk-jpl/src/py/model/solvers/stokesoptions.py	(revision 11791)
@@ -0,0 +1,40 @@
+#module imports {{{
+from pairoptions import *
+from petscversion  import *
+#}}}
+def stokesoptions(*args):
+	#STOKESOPTIONS - return STOKES multi-physics solver petsc options
+	#
+	#   Usage:
+	#      options=stokesoptions;
+	
+	#retrieve options provided in varargin
+	arguments=pairoptions(*args) 
+
+
+	#default stokes options
+	PETSC_VERSION=petscversion()
+
+	if PETSC_VERSION==2:
+		raise RuntimeError('stokesoptions error message: multi-physics options not supported in Petsc 2')
+	if PETSC_VERSION==3:
+		options=[['mat_type','mpiaij'],['ksp_max_it',1000],['ksp_type','gmres'],['pc_type','fieldsplit'],['pc_field_split_type','schur'],\
+	['fieldsplit_0_pc_type','hypre'],['fieldsplit_0_ksp_type','gmres'],['fieldsplit_0_pc_hypre_type','boomerang'],\
+	['fieldsplit_1_pc_type','jacobi'],['fieldsplit_1_ksp_type','preonly'],['issm_option_solver','stokes']]
+
+	#now, go through our arguments, and write over default options.
+	for i in range(len(arguments.list)):
+		arg1=arguments.list[i][0]
+		arg2=arguments.list[i][1]
+		found=0;
+		for j in range(len(options)):
+			joption=options[j][0]
+			if joption==arg1:
+				joption[1]=arg2;
+				options[j]=joption;
+				found=1;
+				break
+		if not found:
+			#this option did not exist, add it: 
+			options.append([arg1,arg2])
+	return options
Index: /issm/trunk-jpl/startup.py
===================================================================
--- /issm/trunk-jpl/startup.py	(revision 11790)
+++ /issm/trunk-jpl/startup.py	(revision 11791)
@@ -59,4 +59,16 @@
 from settings import *
 from solver import *
+from issmtier  import * 
+from ismumps  import * 
+from pairoptions  import * 
+from petscversion  import * 
+from asmoptions import *           
+from iluasmoptions import *        
+from jacobiasmoptions import *     
+from jacobicgoptions import *      
+from matlaboptions import *        
+from mumpsoptions import *         
+from soroptions import *           
+from stokesoptions import *
 #}}}