Fix whitespace in a way that actually works.

Apparently multiline examples are not allowed, but this at least gets
rid of the whitespace between arguments in the documentation.

Author: tsalo

nipype/algorithms/modelgen.py

@@ -261,28 +261,18 @@ class SpecifyModel(BaseInterface):
     >>> s.inputs.functional_runs = ['functional2.nii', 'functional3.nii']
     >>> s.inputs.time_repetition = 6
     >>> s.inputs.high_pass_filter_cutoff = 128.
-    >>> info = [Bunch(conditions=['cond1'],
-                      onsets=[[2, 50, 100, 180]],
-                      durations=[[1]]),
-                Bunch(conditions=['cond1'],
-                      onsets=[[30, 40, 100, 150]],
-                      durations=[[1]])]
+    >>> info = [Bunch(conditions=['cond1'], onsets=[[2, 50, 100, 180]], \
+durations=[[1]]), Bunch(conditions=['cond1'], onsets=[[30, 40, 100, 150]], \
+durations=[[1]])]
     >>> s.inputs.subject_info = info
 
     Using pmod:
 
-    >>> info = [Bunch(conditions=['cond1', 'cond2'],
-                      onsets=[[2, 50],[100, 180]],
-                      durations=[[0],[0]],
-                      pmod=[Bunch(name=['amp'], poly=[2],
-                                  param=[[1, 2]]),
-                            None]),
-                Bunch(conditions=['cond1', 'cond2'],
-                      onsets=[[20, 120],[80, 160]],
-                      durations=[[0],[0]],
-                      pmod=[Bunch(name=['amp'], poly=[2],
-                                  param=[[1, 2]]),
-                            None])]
+    >>> info = [Bunch(conditions=['cond1', 'cond2'], onsets=[[2, 50],[100, 180]], \
+durations=[[0],[0]], pmod=[Bunch(name=['amp'], poly=[2], param=[[1, 2]]), \
+None]), Bunch(conditions=['cond1', 'cond2'], onsets=[[20, 120],[80, 160]], \
+durations=[[0],[0]], pmod=[Bunch(name=['amp'], poly=[2], param=[[1, 2]]), \
+None])]
     >>> s.inputs.subject_info = info
 
     """
@@ -448,12 +438,9 @@ class SpecifySPMModel(SpecifyModel):
     >>> s.inputs.functional_runs = ['functional2.nii', 'functional3.nii']
     >>> s.inputs.time_repetition = 6
     >>> s.inputs.concatenate_runs = True
-    >>> info = [Bunch(conditions=['cond1'],
-                      onsets=[[2, 50, 100, 180]],
-                      durations=[[1]]),
-                Bunch(conditions=['cond1'],
-                      onsets=[[30, 40, 100, 150]],
-                      durations=[[1]])]
+    >>> info = [Bunch(conditions=['cond1'], onsets=[[2, 50, 100, 180]], \
+durations=[[1]]), Bunch(conditions=['cond1'], onsets=[[30, 40, 100, 150]], \
+durations=[[1]])]
     >>> s.inputs.subject_info = info
 
     """
@@ -616,12 +603,9 @@ class SpecifySparseModel(SpecifyModel):
     >>> s.inputs.time_acquisition = 2
     >>> s.inputs.high_pass_filter_cutoff = 128.
     >>> s.inputs.model_hrf = True
-    >>> info = [Bunch(conditions=['cond1'],
-                      onsets=[[2, 50, 100, 180]],
-                      durations=[[1]]),
-                Bunch(conditions=['cond1'],
-                      onsets=[[30, 40, 100, 150]],
-                      durations=[[1]])]
+    >>> info = [Bunch(conditions=['cond1'], onsets=[[2, 50, 100, 180]], \
+durations=[[1]]), Bunch(conditions=['cond1'], onsets=[[30, 40, 100, 150]], \
+durations=[[1]])]
     >>> s.inputs.subject_info = info
 
     """