redesign calc_jacobians function

pyomo/contrib/mindtpy/extended_cutting_plane.py

@@ -86,7 +86,9 @@ def check_config(self):
     def initialize_mip_problem(self):
         '''Deactivate the nonlinear constraints to create the MIP problem.'''
         super().initialize_mip_problem()
-        self.jacobians = calc_jacobians(self.mip, self.config)  # preload jacobians
+        self.jacobians = calc_jacobians(
+            self.mip, self.config.differentiate_mode
+        )  # preload jacobians
         self.mip.MindtPy_utils.cuts.ecp_cuts = ConstraintList(
             doc='Extended Cutting Planes'
         )

pyomo/contrib/mindtpy/feasibility_pump.py

@@ -46,7 +46,9 @@ def check_config(self):
     def initialize_mip_problem(self):
         '''Deactivate the nonlinear constraints to create the MIP problem.'''
         super().initialize_mip_problem()
-        self.jacobians = calc_jacobians(self.mip, self.config)  # preload jacobians
+        self.jacobians = calc_jacobians(
+            self.mip, self.config.differentiate_mode
+        )  # preload jacobians
         self.mip.MindtPy_utils.cuts.oa_cuts = ConstraintList(
             doc='Outer approximation cuts'
         )

pyomo/contrib/mindtpy/outer_approximation.py

@@ -96,7 +96,9 @@ def check_config(self):
     def initialize_mip_problem(self):
         '''Deactivate the nonlinear constraints to create the MIP problem.'''
         super().initialize_mip_problem()
-        self.jacobians = calc_jacobians(self.mip, self.config)  # preload jacobians
+        self.jacobians = calc_jacobians(
+            self.mip, self.config.differentiate_mode
+        )  # preload jacobians
         self.mip.MindtPy_utils.cuts.oa_cuts = ConstraintList(
             doc='Outer approximation cuts'
         )

pyomo/contrib/mindtpy/util.py

@@ -41,7 +41,7 @@
 numpy = attempt_import('numpy')[0]
 
 
-def calc_jacobians(model, config):
+def calc_jacobians(model, differentiate_mode):
     """Generates a map of jacobians for the variables in the model.
 
     This function generates a map of jacobians corresponding to the variables in the
@@ -51,15 +51,15 @@ def calc_jacobians(model, config):
     ----------
     model : Pyomo model
         Target model to calculate jacobian.
-    config : ConfigBlock
-        The specific configurations for MindtPy.
+    differentiate_mode : String
+        The differentiate mode to calculate Jacobians.
     """
     # Map nonlinear_constraint --> Map(
     #     variable --> jacobian of constraint w.r.t. variable)
     jacobians = ComponentMap()
-    if config.differentiate_mode == 'reverse_symbolic':
+    if differentiate_mode == 'reverse_symbolic':
         mode = EXPR.differentiate.Modes.reverse_symbolic
-    elif config.differentiate_mode == 'sympy':
+    elif differentiate_mode == 'sympy':
         mode = EXPR.differentiate.Modes.sympy
     for c in model.MindtPy_utils.nonlinear_constraint_list:
         vars_in_constr = list(EXPR.identify_variables(c.body))