Index: Invariant/test/utest_use_cases.py
===================================================================
--- Invariant/test/utest_use_cases.py	(revision ef9ed58d169ae2cfe12d204ef72e695b1c53eb7e)
+++ Invariant/test/utest_use_cases.py	(revision 437a9f0957954babe5f940a58e4ca2389a217b51)
@@ -93,5 +93,5 @@
         #    parameters. For instance, you might not want to allow 'high' and 'guinier'.
         # The power parameter (not shown below) should default to 4.
-        inv.set_extrapolation(range='low', npts=20, function='guinier')
+        inv.set_extrapolation(range='low', npts=10, function='guinier')
         
         # The version of the call without error
@@ -108,5 +108,5 @@
         
         # Test results
-        self.assertAlmostEquals(qstar, 7.49e-5,2)
+        self.assertAlmostEquals(qstar, 7.49e-5)
         self.assertAlmostEquals(v, 0.005648401)
         self.assertAlmostEquals(s, 9.42e+2,2)
@@ -120,5 +120,5 @@
         
         # Set the extrapolation parameters for the high-Q range
-        inv.set_extrapolation(range='high', npts=20, function='power_law', power=4)
+        inv.set_extrapolation(range='high', npts=10, function='power_law', power=4)
         
         # The version of the call without error
@@ -146,6 +146,6 @@
         
         # Set the extrapolation parameters for the low- and high-Q ranges
-        inv.set_extrapolation(range='low', npts=5, function='guinier')
-        inv.set_extrapolation(range='high', npts=5, function='power_law', power=4)
+        inv.set_extrapolation(range='low', npts=10, function='guinier')
+        inv.set_extrapolation(range='high', npts=10, function='power_law', power=4)
         
         # The version of the call without error
@@ -161,5 +161,5 @@
         
         # Test results
-        self.assertAlmostEquals(qstar, 7.90069e-5,2)
+        self.assertAlmostEquals(qstar, 7.88981e-5,2)
         self.assertAlmostEquals(v, 0.005952674)
         self.assertAlmostEquals(s, 9.42e+2,2)
@@ -213,5 +213,5 @@
         inv = invariant.InvariantCalculator(data=self.data_slit_smear)
         # Set the extrapolation parameters for the low-Q range
-        inv.set_extrapolation(range='low', npts=20, function='guinier')
+        inv.set_extrapolation(range='low', npts=10, function='guinier')
         # The version of the call without error
         # At this point, we could still compute Q* without extrapolation by calling
@@ -237,5 +237,5 @@
         
         # Set the extrapolation parameters for the high-Q range
-        inv.set_extrapolation(range='high', npts=20, function='power_law', power=4)
+        inv.set_extrapolation(range='high', npts=10, function='power_law', power=4)
         
         # The version of the call without error
@@ -263,6 +263,6 @@
         
         # Set the extrapolation parameters for the low- and high-Q ranges
-        inv.set_extrapolation(range='low', npts=20, function='guinier')
-        inv.set_extrapolation(range='high', npts=20, function='power_law', power=4)
+        inv.set_extrapolation(range='low', npts=10, function='guinier')
+        inv.set_extrapolation(range='high', npts=10, function='power_law', power=4)
         
         # The version of the call without error
@@ -351,5 +351,5 @@
         inv = invariant.InvariantCalculator(data=self.data_q_smear)
         # Set the extrapolation parameters for the high-Q range
-        inv.set_extrapolation(range='high', npts=20, function='power_law', power=4)
+        inv.set_extrapolation(range='high', npts=10, function='power_law', power=4)
         # The version of the call without error
         qstar = inv.get_qstar(extrapolation='high')
@@ -372,6 +372,6 @@
         inv = invariant.InvariantCalculator(data=self.data_q_smear)
         # Set the extrapolation parameters for the low- and high-Q ranges
-        inv.set_extrapolation(range='low', npts=20, function='guinier')
-        inv.set_extrapolation(range='high', npts=20, function='power_law', power=4)
+        inv.set_extrapolation(range='low', npts=10, function='guinier')
+        inv.set_extrapolation(range='high', npts=10, function='power_law', power=4)
         # The version of the call without error
         # The function parameter defaults to None, then is picked to be 'power_law' for extrapolation='high'
@@ -384,5 +384,5 @@
         
         # Test results
-        self.assertAlmostEquals(qstar, 0.002157677)
+        self.assertAlmostEquals(qstar, 0.0021621)
         self.assertAlmostEquals(v, 0.202846825)
         self.assertAlmostEquals(s, 9.42e+2,2)
