Package test_suite :: Package unit_tests :: Package _data_store :: Module test_align_tensor :: Class Test_align_tensor
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Class Test_align_tensor

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Unit tests for the data.align_tensor relax module.

Nested Classes [hide private]

Inherited from unittest.case.TestCase: failureException

Instance Methods [hide private]
 
calc_objects(self, Axx, Ayy, Axy, Axz, Ayz)
Function for calculating the alignment tensor objects.
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setUp(self)
Set 'self.align_data' to an empty instance of the AlignTensorData class.
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test_append_sim(self)
Test the appending of Monte Carlo simulation alignment tensor parameters.
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test_irreducible_params(self)
Test the irreducible parameters {A-2, A-1, A0, A1, A2}.
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test_set_Szz(self)
Test that the Szz parameter cannot be set.
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test_set_errors(self)
Test the setting of spheroidal diffusion tensor parameter errors.
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test_set_params(self)
Test the setting of alignment tensor parameters.
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test_set_sim(self)
Test the setting of Monte Carlo simulation alignment tensor parameters.
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test_set_Axx(self)
Test the setting of the Axx parameter.
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Inherited from unittest.case.TestCase: __call__, __eq__, __hash__, __init__, __ne__, __repr__, __str__, addCleanup, addTypeEqualityFunc, assertAlmostEqual, assertAlmostEquals, assertDictContainsSubset, assertDictEqual, assertEqual, assertEquals, assertFalse, assertGreater, assertGreaterEqual, assertIn, assertIs, assertIsInstance, assertIsNone, assertIsNot, assertIsNotNone, assertItemsEqual, assertLess, assertLessEqual, assertListEqual, assertMultiLineEqual, assertNotAlmostEqual, assertNotAlmostEquals, assertNotEqual, assertNotEquals, assertNotIn, assertNotIsInstance, assertNotRegexpMatches, assertRaises, assertRaisesRegexp, assertRegexpMatches, assertSequenceEqual, assertSetEqual, assertTrue, assertTupleEqual, assert_, countTestCases, debug, defaultTestResult, doCleanups, fail, failIf, failIfAlmostEqual, failIfEqual, failUnless, failUnlessAlmostEqual, failUnlessEqual, failUnlessRaises, id, run, shortDescription, skipTest, tearDown

Inherited from unittest.case.TestCase (private): _addSkip, _baseAssertEqual, _deprecate, _formatMessage, _getAssertEqualityFunc, _truncateMessage

Inherited from object: __delattr__, __format__, __getattribute__, __new__, __reduce__, __reduce_ex__, __setattr__, __sizeof__, __subclasshook__

Class Methods [hide private]

Inherited from unittest.case.TestCase: setUpClass, tearDownClass

Class Variables [hide private]

Inherited from unittest.case.TestCase: longMessage, maxDiff

Inherited from unittest.case.TestCase (private): _classSetupFailed, _diffThreshold

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

setUp(self)

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Set 'self.align_data' to an empty instance of the AlignTensorData class.

Overrides: unittest.case.TestCase.setUp

test_append_sim(self)

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Test the appending of Monte Carlo simulation alignment tensor parameters.

The following parameters will be appended to empty lists:

  • Axx: -16.6278 Hz
  • Ayy: 6.13037 Hz
  • Axy: 7.65639 Hz
  • Axz: -1.89157 Hz
  • Ayz: 19.2561 Hz

test_irreducible_params(self)

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Test the irreducible parameters {A-2, A-1, A0, A1, A2}.

This is to test if the Pales results can be matched. The example is:

   DATA SAUPE_MATRIX     S(zz)       S(xx-yy)      S(xy)      S(xz)      S(yz)
   DATA SAUPE        -1.2856e-04 -5.6870e-04 -3.1704e-04  3.5099e-04 -1.7937e-04
   DATA IRREDUCIBLE_REP    A0          A1R          A1I         A2R         A2I  
   DATA IRREDUCIBLE    -2.0380e-04 -4.5433e-04 -2.3218e-04 -3.6807e-04  4.1038e-04
   DATA IRREDUCIBLE GENERAL_MAGNITUDE   1.0816e-03

test_set_errors(self)

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Test the setting of spheroidal diffusion tensor parameter errors.

The following parameter errors will be set:

  • Axx: 0.3 Hz
  • Ayy: 0.5 Hz
  • Axy: 0.4 Hz
  • Axz: 0.1 Hz
  • Ayz: 0.2 Hz

test_set_params(self)

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Test the setting of alignment tensor parameters.

The following parameters will be set:

  • Axx: -16.6278 Hz
  • Ayy: 6.13037 Hz
  • Axy: 7.65639 Hz
  • Axz: -1.89157 Hz
  • Ayz: 19.2561 Hz

test_set_sim(self)

source code 

Test the setting of Monte Carlo simulation alignment tensor parameters.

Firstly the following parameters will be appended to empty lists:

  • Axx: -16.6278 Hz
  • Ayy: 6.13037 Hz
  • Axy: 7.65639 Hz
  • Axz: -1.89157 Hz
  • Ayz: 19.2561 Hz

These MC sim values will then be explicity overwritten by setting the first elements of the lists to:

  • Axx: 0.3 Hz
  • Ayy: 0.5 Hz
  • Axy: 0.4 Hz
  • Axz: 0.1 Hz
  • Ayz: 0.2 Hz