Changeset 437a9f0 in sasview for Invariant/test

Timestamp:

Dec 1, 2009 4:21:19 PM (15 years ago)

Author:

Gervaise Alina <gervyh@…>

Branches:

master, ESS_GUI, ESS_GUI_Docs, ESS_GUI_batch_fitting, ESS_GUI_bumps_abstraction, ESS_GUI_iss1116, ESS_GUI_iss879, ESS_GUI_iss959, ESS_GUI_opencl, ESS_GUI_ordering, ESS_GUI_sync_sascalc, costrafo411, magnetic_scatt, release-4.1.1, release-4.1.2, release-4.2.2, release_4.0.1, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload

Children:

7a108dd

Parents:

c5607fa

Message:

testing invariant

File:

• Invariant/test/utest_use_cases.py (modified) (11 diffs)

Invariant/test/utest_use_cases.py

@@ -93 +93 @@
         #    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 +108 @@
         
         # 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 +120 @@
         
         # 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 +146 @@
         
         # 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 +161 @@
         
         # 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 +213 @@
         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 +237 @@
         
         # 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 +263 @@
         
         # 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 +351 @@
         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 +372 @@
         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 +384 @@
         
         # Test results
-        self.assertAlmostEquals(qstar, 0.002157677)
+        self.assertAlmostEquals(qstar, 0.0021621)
         self.assertAlmostEquals(v, 0.202846825)
         self.assertAlmostEquals(s, 9.42e+2,2)