testing pickling of variance_threshold

Author: oesteban

nipype/workflows/rsfmri/fsl/resting.py

@@ -3,7 +3,6 @@
 # vi: set ft=python sts=4 ts=4 sw=4 et:
 from __future__ import (print_function, division, unicode_literals,
                         absolute_import)
-from builtins import str
 
 from ....interfaces import fsl as fsl  # fsl
 from ....interfaces import utility as util  # utility

nipype/workflows/rsfmri/fsl/tests/test_resting.py

@@ -78,7 +78,8 @@ def setup_class(self, tmpdir):
     def test_create_resting_preproc(self, mock_node, mock_realign_wf):
         wflow = create_resting_preproc(base_dir=os.getcwd())
 
-        wflow.inputs.inputspec.num_noise_components = self.num_noise_components
+        # wflow.inputs.inputspec.num_noise_components = self.num_noise_components
+        wflow.inputs.compcor.variance_threshold = 0.15
         mask_in = wflow.get_node('threshold').inputs
         mask_in.out_file = self.in_filenames['mask_file']
         func_in = wflow.get_node('slicetimer').inputs
@@ -89,16 +90,17 @@ def test_create_resting_preproc(self, mock_node, mock_realign_wf):
         # assert
         expected_file = os.path.abspath(self.out_filenames['components_file'])
         with open(expected_file, 'r') as components_file:
-            components_data = [line.split() for line in components_file]
-            num_got_components = len(components_data)
-            assert (num_got_components == self.num_noise_components
-                    or num_got_components == self.fake_data.shape[3])
-            first_two = [row[:2] for row in components_data[1:]]
-            assert first_two == [['-0.5172356654', '-0.6973053243'], [
-                '0.2574722644', '0.1645270737'
-            ], ['-0.0806469590',
-                '0.5156853779'], ['0.7187176051', '-0.3235820287'],
-                                 ['-0.3783072450', '0.3406749013']]
+            components_data = [line.split()
+                               for line in components_file.read().splitlines()]
+        num_got_components = len(components_data)
+        assert (num_got_components == self.num_noise_components or
+                num_got_components == self.fake_data.shape[3])
+        first_two = [row[:2] for row in components_data[1:]]
+        assert first_two == [['-0.5172356654', '-0.6973053243'],
+                             ['0.2574722644', '0.1645270737'],
+                             ['-0.0806469590', '0.5156853779'],
+                             ['0.7187176051', '-0.3235820287'],
+                             ['-0.3783072450', '0.3406749013']]
 
     fake_data = np.array([[[[2, 4, 3, 9, 1], [3, 6, 4, 7, 4]],
                            [[8, 3, 4, 6, 2], [4, 0, 4, 4, 2]]],