adding dummy init_idiosyncratic_shocks to fix import loop; temporary
@@ -6,7 +6,6 @@ ConsAggShockModel, ConsPrefShockModel, and ConsMarkovModel.
from __future__ import division, print_function
from copy import copy
import numpy as np
-from HARK.ConsumptionSaving.ConsIndShockModel import init_idiosyncratic_shocks
# -----------------------------------------------------------------------------
# --- Define all of the parameters for the perfect foresight model ------------
@@ -32,6 +31,13 @@ T_cycle = 1 # Number of periods in the cycle for this agent type
# --- Define additional parameters for the idiosyncratic shocks model ---------
# -----------------------------------------------------------------------------
+# dummy stuff to get things passing before full refactor is complete
+init_idiosyncratic_shocks = {
+ 'Rfree' : 1.03,
+ 'CubicBool' : False,
+ 'vFuncBool' : False
+}
+
# Make a dictionary to specify a lifecycle consumer with a finite horizon
init_lifecycle = copy(init_idiosyncratic_shocks)
