STY: black

Author: effigies

nipype/algorithms/metrics.py

@@ -63,8 +63,7 @@ class DistanceOutputSpec(TraitedSpec):
 
 
 class Distance(BaseInterface):
-    """Calculates distance between two volumes.
-    """
+    """Calculates distance between two volumes."""
 
     input_spec = DistanceInputSpec
     output_spec = DistanceOutputSpec
@@ -542,7 +541,7 @@ class ErrorMapOutputSpec(TraitedSpec):
 
 
 class ErrorMap(BaseInterface):
-    """ Calculates the error (distance) map between two input volumes.
+    """Calculates the error (distance) map between two input volumes.
 
     Example
     -------

nipype/algorithms/misc.py

@@ -141,8 +141,7 @@ class SimpleThresholdOutputSpec(TraitedSpec):
 
 
 class SimpleThreshold(BaseInterface):
-    """Applies a threshold to input volumes
-    """
+    """Applies a threshold to input volumes"""
 
     input_spec = SimpleThresholdInputSpec
     output_spec = SimpleThresholdOutputSpec
@@ -240,8 +239,7 @@ class CreateNiftiOutputSpec(TraitedSpec):
 
 
 class CreateNifti(BaseInterface):
-    """Creates a nifti volume
-    """
+    """Creates a nifti volume"""
 
     input_spec = CreateNiftiInputSpec
     output_spec = CreateNiftiOutputSpec

nipype/algorithms/modelgen.py

@@ -135,7 +135,7 @@ def scale_timings(timelist, input_units, output_units, time_repetition):
 
 
 def bids_gen_info(
-    bids_event_files, condition_column="", amplitude_column=None, time_repetition=False,
+    bids_event_files, condition_column="", amplitude_column=None, time_repetition=False
 ):
     """
     Generate a subject_info structure from a list of BIDS .tsv event files.
@@ -471,8 +471,7 @@ def _generate_standard_design(
         return sessinfo
 
     def _generate_design(self, infolist=None):
-        """Generate design specification for a typical fmri paradigm
-        """
+        """Generate design specification for a typical fmri paradigm"""
         realignment_parameters = []
         if isdefined(self.inputs.realignment_parameters):
             for parfile in self.inputs.realignment_parameters:
@@ -517,8 +516,7 @@ def _generate_design(self, infolist=None):
         )
 
     def _run_interface(self, runtime):
-        """
-        """
+        """"""
         self._sessioninfo = None
         self._generate_design()
         return runtime
@@ -739,7 +737,7 @@ class SpecifySparseModelOutputSpec(SpecifyModelOutputSpec):
 
 
 class SpecifySparseModel(SpecifyModel):
-    """ Specify a sparse model that is compatible with SPM/FSL designers [1]_.
+    """Specify a sparse model that is compatible with SPM/FSL designers [1]_.
 
     Examples
     --------
@@ -770,8 +768,7 @@ class SpecifySparseModel(SpecifyModel):
     output_spec = SpecifySparseModelOutputSpec
 
     def _gen_regress(self, i_onsets, i_durations, i_amplitudes, nscans):
-        """Generates a regressor for a sparse/clustered-sparse acquisition
-        """
+        """Generates a regressor for a sparse/clustered-sparse acquisition"""
         bplot = False
         if isdefined(self.inputs.save_plot) and self.inputs.save_plot:
             bplot = True
@@ -901,8 +898,7 @@ def _gen_regress(self, i_onsets, i_durations, i_amplitudes, nscans):
             return reg
 
     def _cond_to_regress(self, info, nscans):
-        """Converts condition information to full regressors
-        """
+        """Converts condition information to full regressors"""
         reg = []
         regnames = []
         for i, cond in enumerate(info.conditions):

nipype/algorithms/rapidart.py

@@ -686,8 +686,7 @@ def _detect_outliers_core(self, imgfile, motionfile, runidx, cwd=None):
         save_json(statsfile, stats)
 
     def _run_interface(self, runtime):
-        """Execute this module.
-        """
+        """Execute this module."""
         funcfilelist = ensure_list(self.inputs.realigned_files)
         motparamlist = ensure_list(self.inputs.realignment_parameters)
         for i, imgf in enumerate(funcfilelist):
@@ -814,8 +813,7 @@ def _get_spm_submatrix(self, spmmat, sessidx, rows=None):
         return outmatrix
 
     def _run_interface(self, runtime):
-        """Execute this module.
-        """
+        """Execute this module."""
         import scipy.io as sio
 
         motparamlist = self.inputs.realignment_parameters

nipype/algorithms/tests/test_TSNR.py

@@ -93,8 +93,8 @@ def test_tsnr_withpoly3(self):
 
     @mock.patch("warnings.warn")
     def test_warning(self, mock_warn):
-        """ test that usage of misc.TSNR trips a warning to use
-        confounds.TSNR instead """
+        """test that usage of misc.TSNR trips a warning to use
+        confounds.TSNR instead"""
         # run
         misc.TSNR(in_file=self.in_filenames["in_file"])
 

nipype/algorithms/tests/test_modelgen.py

@@ -105,7 +105,7 @@ def test_modelgen1(tmpdir):
         np.array([6.0, 6.0]),
     )
     npt.assert_almost_equal(
-        np.array(res.outputs.session_info[0]["cond"][1]["duration"]), np.array([6.0,])
+        np.array(res.outputs.session_info[0]["cond"][1]["duration"]), np.array([6.0])
     )
     npt.assert_almost_equal(
         np.array(res.outputs.session_info[1]["cond"][1]["duration"]),
@@ -191,14 +191,14 @@ def test_modelgen_spm_concat(tmpdir):
         np.array([1.0, 1.0]),
     )
     npt.assert_almost_equal(
-        np.array(res.outputs.session_info[0]["cond"][1]["duration"]), np.array([1.0,])
+        np.array(res.outputs.session_info[0]["cond"][1]["duration"]), np.array([1.0])
     )
     npt.assert_almost_equal(
         np.array(res.outputs.session_info[1]["cond"][1]["duration"]),
         np.array([1.0, 1.0]),
     )
     npt.assert_almost_equal(
-        np.array(res.outputs.session_info[2]["cond"][1]["duration"]), np.array([1.0,])
+        np.array(res.outputs.session_info[2]["cond"][1]["duration"]), np.array([1.0])
     )
 
     # Test case for variable number of events in concatenated runs, sometimes unique.