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"""
Extends the basic test of the Load algorithm done by the LoadLotsOfFiles
test to encompass the complex multi-file loading that the Load
algorithm is capable of.
"""
import stresstesting
from mantid.api import AnalysisDataService, IEventWorkspace, MatrixWorkspace, WorkspaceGroup
from mantid.simpleapi import Load
import unittest
DIFF_PLACES = 8
class LoadTest(stresstesting.MantidStressTest):
def runTest(self):
self._success = False
# Custom code to create and run this single test suite
# and then mark as success or failure
suite = unittest.TestSuite()
suite.addTest( unittest.makeSuite(LoadTests, "test") )
runner = unittest.TextTestRunner()
# Run using either runner
res = runner.run(suite)
if res.wasSuccessful():
else:
self._success = False
def validate(self):
return self._success
#------------------------------------------------------------------------------
# work horse
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class LoadTests(unittest.TestCase):
wsname = "__LoadTest"
cleanup_names = []
def tearDown(self):
self.cleanup_names.append(self.wsname)
for name in self.cleanup_names:
try:
AnalysisDataService.remove(name)
except KeyError:
pass
self.cleanup_names = []
def test_csv_list_with_same_instrument_produces_single_group(self):
data = Load("OFFSPEC10791,10792,10793.raw", OutputWorkspace = self.wsname)
self.assertTrue(isinstance(data, WorkspaceGroup))
self.assertEquals(6, data.getNumberOfEntries())
ads_names = ["OFFSPEC00010791_1", "OFFSPEC00010791_2",
"OFFSPEC00010792_1", "OFFSPEC00010792_2",
"OFFSPEC00010793_1", "OFFSPEC00010793_2"]
for name in ads_names:
self.assertTrue(name in AnalysisDataService)
deleted_names = ["OFFSPEC10791", "OFFSPEC10792", "OFFSPEC10793"]
for name in deleted_names:
self.assertTrue(name not in AnalysisDataService)
self.cleanup_names = ads_names
def test_csv_list_with_different_instrument_produces_single_group(self):
# Combine test of different instruments with giving the output name
# the same name as one of the members of the group
self.wsname = "LOQ99631"
data = Load("LOQ99631.RAW, CSP85423.raw", OutputWorkspace = self.wsname)
self.assertTrue(isinstance(data, WorkspaceGroup))
self.assertEquals(3, data.getNumberOfEntries())
ads_names = ["LOQ99631", "CSP85423_1", "CSP85423_2"]
for name in ads_names:
self.assertTrue(name in AnalysisDataService)
deleted_names = ["CSP85423"]
for name in deleted_names:
self.assertTrue(name not in AnalysisDataService)
self.cleanup_names = ads_names
self.wsname = "__LoadTest"
def test_extra_properties_passed_to_loader(self):
data = Load("CNCS_7860_event.nxs", OutputWorkspace = self.wsname,
BankName = "bank1", SingleBankPixelsOnly = False)
self.assertTrue(isinstance(data, IEventWorkspace))
self.assertEquals(1740, data.getNumberEvents())
def test_extra_properties_passed_to_loader_for_multiple_files(self):
data = Load("EQSANS_1466_event.nxs,EQSANS_3293_event.nxs", OutputWorkspace = self.wsname,
BankName = "bank1", SingleBankPixelsOnly = False)
self.assertTrue(isinstance(data, WorkspaceGroup))
self.assertEquals(2, data.getNumberOfEntries())
# Test number of events in each
self.assertEquals(740, data[0].getNumberEvents())
self.assertEquals(105666, data[1].getNumberEvents())
def test_range_operator_loads_correct_number_of_files(self):
data = Load("TSC15352:15354.raw", OutputWorkspace = self.wsname)
self.assertTrue(isinstance(data, WorkspaceGroup))
self.assertEquals(3, data.getNumberOfEntries())
self.assertTrue(isinstance(data[0], MatrixWorkspace))
self.assertTrue(isinstance(data[1], MatrixWorkspace))
self.assertTrue(isinstance(data[2], MatrixWorkspace))
# Cursory check that the correct ones were loaded
self.assertTrue("TO96_2" in data[0].getTitle())
self.assertTrue("TO96_3" in data[1].getTitle())
self.assertTrue("TO96_4" in data[2].getTitle())
def test_stepped_range_operator_loads_correct_number_of_files(self):
data = Load("TSC15352:15354:2.raw", OutputWorkspace = self.wsname)
self.assertTrue(isinstance(data, WorkspaceGroup))
self.assertEquals(2, data.getNumberOfEntries())
self.assertTrue(isinstance(data[0], MatrixWorkspace))
self.assertTrue(isinstance(data[1], MatrixWorkspace))
# Cursory check that the correct ones were loaded
self.assertTrue("TO96_2" in data[0].getTitle())
self.assertTrue("TO96_4" in data[1].getTitle())
def test_plus_operator_sums_single_set_files(self):
data = Load("TSC15352+15353.raw", OutputWorkspace = self.wsname)
self.assertTrue(isinstance(data, MatrixWorkspace))
self.assertEquals(149, data.getNumberHistograms())
self.assertEquals(24974, data.blocksize())
self.assertAlmostEqual(9.0, data.readX(2)[1], places = DIFF_PLACES)
self.assertAlmostEqual(46352.0, data.readY(2)[1], places = DIFF_PLACES)
self.assertAlmostEqual(215.29514625276622, data.readE(2)[1], places = DIFF_PLACES)
deleted_names = ["TSC15352", "TSC15353"]
for name in deleted_names:
self.assertTrue(name not in AnalysisDataService)
def test_plus_operator_sums_multiple_set_files_to_give_group(self):
summed_data = Load("TSC15352+15353.raw,TSC15352+15354.raw", OutputWorkspace = self.wsname)
self.assertTrue(isinstance(summed_data, WorkspaceGroup))
self.assertEquals(2, summed_data.getNumberOfEntries())
# First group
data = summed_data[0]
self.assertEquals(149, data.getNumberHistograms())
self.assertEquals(24974, data.blocksize())
self.assertAlmostEqual(9.0, data.readX(2)[1], places = DIFF_PLACES)
self.assertAlmostEqual(46352.0, data.readY(2)[1], places = DIFF_PLACES)
self.assertAlmostEqual(215.29514625276622, data.readE(2)[1], places = DIFF_PLACES)
# Second group
data = summed_data[1]
self.assertEquals(149, data.getNumberHistograms())
self.assertEquals(24974, data.blocksize())
self.assertAlmostEqual(9.0, data.readX(2)[1], places = DIFF_PLACES)
self.assertAlmostEqual(35640.0, data.readY(2)[1], places = DIFF_PLACES)
self.assertAlmostEqual(188.78559267062727, data.readE(2)[1], places = DIFF_PLACES)
deleted_names = ["TSC15352", "TSC15353", "TSC15354"]
for name in deleted_names:
self.assertTrue(name not in AnalysisDataService,)
def test_sum_range_operator_sums_to_single_workspace(self):
data = Load("TSC15352-15353.raw", OutputWorkspace = self.wsname)
self.assertTrue(isinstance(data, MatrixWorkspace))
self.assertEquals(149, data.getNumberHistograms())
self.assertEquals(24974, data.blocksize())
self.assertAlmostEqual(9.0, data.readX(2)[1], places = DIFF_PLACES)
self.assertAlmostEqual(46352.0, data.readY(2)[1], places = DIFF_PLACES)
self.assertAlmostEqual(215.29514625276622, data.readE(2)[1], places = DIFF_PLACES)
def test_sum_range_operator_with_step_sums_to_single_workspace(self):
data = Load("TSC15352-15354:2.raw", OutputWorkspace = self.wsname)
self.assertTrue(isinstance(data, MatrixWorkspace))
self.assertEquals(149, data.getNumberHistograms())
self.assertEquals(24974, data.blocksize())
self.assertAlmostEqual(9.0, data.readX(2)[1], places = DIFF_PLACES)
self.assertAlmostEqual(35640.0, data.readY(2)[1], places = DIFF_PLACES)
self.assertAlmostEqual(188.78559267062727, data.readE(2)[1], places = DIFF_PLACES)
def test_plus_operator_for_input_groups(self):
summed_data = Load("OFFSPEC10791+10792.raw", OutputWorkspace = self.wsname)
self.assertTrue(isinstance(summed_data, WorkspaceGroup))
self.assertEquals(2, summed_data.getNumberOfEntries())
# First group
data = summed_data[0]
self.assertEquals(245, data.getNumberHistograms())
self.assertEquals(5000, data.blocksize())
self.assertAlmostEqual(25.0, data.readX(1)[1], places = DIFF_PLACES)
self.assertAlmostEqual(4.0, data.readY(1)[1], places = DIFF_PLACES)
self.assertAlmostEqual(2.0, data.readE(1)[1], places = DIFF_PLACES)
# Second group
data = summed_data[1]
self.assertEquals(245, data.getNumberHistograms())
self.assertEquals(5000, data.blocksize())
self.assertAlmostEqual(25.0, data.readX(1)[1], places = DIFF_PLACES)
self.assertAlmostEqual(1.0, data.readY(1)[1], places = DIFF_PLACES)
self.assertAlmostEqual(1.0, data.readE(1)[1], places = DIFF_PLACES)
#====================================================================================