STY: Manual, blue-compatible touchups

[git-blame-ignore-rev]

nibabel/analyze.py

@@ -785,7 +785,7 @@ def set_slope_inter(self, slope, inter=None):
         """
         if (slope in (None, 1) or np.isnan(slope)) and (inter in (None, 0) or np.isnan(inter)):
             return
-        raise HeaderTypeError('Cannot set slope != 1 or intercept != 0 ' 'for Analyze headers')
+        raise HeaderTypeError('Cannot set slope != 1 or intercept != 0 for Analyze headers')
 
     @classmethod
     def _get_checks(klass):

nibabel/arraywriters.py

@@ -454,7 +454,7 @@ def _range_scale(self, in_min, in_max):
         if self._out_dtype.kind == 'u':
             if in_min < 0 and in_max > 0:
                 raise WriterError(
-                    'Cannot scale negative and positive ' 'numbers to uint without intercept'
+                    'Cannot scale negative and positive numbers to uint without intercept'
                 )
             if in_max <= 0:  # All input numbers <= 0
                 self.slope = in_min / out_max

nibabel/brikhead.py

@@ -104,9 +104,7 @@ def _unpack_var(var):
     TEMPLATE_SPACE ORIG
     """
 
-    err_msg = (
-        'Please check HEAD file to ensure it is AFNI compliant. ' f'Offending attribute:\n{var}'
-    )
+    err_msg = f'Please check HEAD file to ensure it is AFNI compliant. Offending attribute:\n{var}'
     atype, aname = TYPE_RE.findall(var), NAME_RE.findall(var)
     if len(atype) != 1:
         raise AFNIHeaderError(f'Invalid attribute type entry in HEAD file. {err_msg}')
@@ -354,13 +352,7 @@ def _calc_zooms(self):
         origin", and second giving "Time step (TR)".
         """
         xyz_step = tuple(np.abs(self.info['DELTA']))
-        t_step = self.info.get(
-            'TAXIS_FLOATS',
-            (
-                0,
-                0,
-            ),
-        )
+        t_step = self.info.get('TAXIS_FLOATS', (0, 0))
         if len(t_step) > 0:
             t_step = (t_step[1],)
         return xyz_step + t_step

nibabel/casting.py

@@ -259,15 +259,15 @@ def type_info(np_type):
     if vals in (
         (112, 15, 16),  # binary128
         (info_64.nmant, info_64.nexp, 8),  # float64
-        (63, 15, 12),
-        (63, 15, 16),
-    ):  # Intel extended 80
+        (63, 15, 12),  # Intel extended 80
+        (63, 15, 16),  # Intel extended 80
+    ):
         return ret  # these are OK without modification
     # The remaining types are longdoubles with bad finfo values.  Some we
     # correct, others we wait to hear of errors.
     # We start with float64 as basis
     ret = type_info(np.float64)
-    if vals in ((52, 15, 12), (52, 15, 16)):  # windows float96  # windows float128?
+    if vals in ((52, 15, 12), (52, 15, 16)):  # windows float96 / windows float128?
         # On windows 32 bit at least, float96 is Intel 80 storage but operating
         # at float64 precision. The finfo values give nexp == 15 (as for intel
         # 80) but in calculations nexp in fact appears to be 11 as for float64
@@ -298,7 +298,13 @@ def type_info(np_type):
         if np_type is np.longcomplex:
             max_val += 0j
         ret = dict(
-            min=-max_val, max=max_val, nmant=112, nexp=15, minexp=-16382, maxexp=16384, width=width
+            min=-max_val,
+            max=max_val,
+            nmant=112,
+            nexp=15,
+            minexp=-16382,
+            maxexp=16384,
+            width=width,
         )
     else:  # don't recognize the type
         raise FloatingError(f'We had not expected long double type {np_type} with info {info}')

nibabel/cifti2/cifti2.py

@@ -70,7 +70,7 @@ class Cifti2HeaderError(Exception):
 
 CIFTI_MODEL_TYPES = (
     'CIFTI_MODEL_TYPE_SURFACE',  # Modeled using surface vertices
-    'CIFTI_MODEL_TYPE_VOXELS',  # Modeled using voxels.
+    'CIFTI_MODEL_TYPE_VOXELS',  # Modeled using voxels
 )
 
 CIFTI_SERIESUNIT_TYPES = ('SECOND', 'HERTZ', 'METER', 'RADIAN')
@@ -662,7 +662,7 @@ def __init__(self, name=None, voxel_indices_ijk=None, vertices=None):
         self.vertices = vertices if vertices is not None else []
         for val in self.vertices:
             if not isinstance(val, Cifti2Vertices):
-                raise ValueError(('Cifti2Parcel vertices must be instances of ' 'Cifti2Vertices'))
+                raise ValueError(('Cifti2Parcel vertices must be instances of Cifti2Vertices'))
 
     @property
     def voxel_indices_ijk(self):
@@ -1237,7 +1237,7 @@ def _validate_new_mim(self, value):
         a2md = self._get_indices_from_mim(value)
         if not set(self.mapped_indices).isdisjoint(a2md):
             raise Cifti2HeaderError(
-                'Indices in this Cifti2MatrixIndicesMap ' 'already mapped in this matrix'
+                'Indices in this Cifti2MatrixIndicesMap already mapped in this matrix'
             )
 
     def __setitem__(self, key, value):
@@ -1412,7 +1412,13 @@ class Cifti2Image(DataobjImage, SerializableImage):
     rw = True
 
     def __init__(
-        self, dataobj=None, header=None, nifti_header=None, extra=None, file_map=None, dtype=None
+        self,
+        dataobj=None,
+        header=None,
+        nifti_header=None,
+        extra=None,
+        file_map=None,
+        dtype=None,
     ):
         """Initialize image
 
@@ -1485,7 +1491,7 @@ def from_file_map(klass, file_map, *, mmap=True, keep_file_open=None):
                 cifti_header = item.get_content()
                 break
         else:
-            raise ValueError('NIfTI2 header does not contain a CIFTI-2 ' 'extension')
+            raise ValueError('NIfTI2 header does not contain a CIFTI-2 extension')
 
         # Construct cifti image.
         # Use array proxy object where possible

nibabel/cifti2/cifti2_axes.py

@@ -665,7 +665,7 @@ def __add__(self, other):
                 not np.allclose(other.affine, affine) or other.volume_shape != shape
             ):
                 raise ValueError(
-                    'Trying to concatenate two BrainModels defined ' 'in a different brain volume'
+                    'Trying to concatenate two BrainModels defined in a different brain volume'
                 )
 
         nvertices = dict(self.nvertices)
@@ -1008,7 +1008,7 @@ def __add__(self, other):
                 not np.allclose(other.affine, affine) or other.volume_shape != shape
             ):
                 raise ValueError(
-                    'Trying to concatenate two ParcelsAxis defined ' 'in a different brain volume'
+                    'Trying to concatenate two ParcelsAxis defined in a different brain volume'
                 )
         nvertices = dict(self.nvertices)
         for name, value in other.nvertices.items():

nibabel/cifti2/tests/test_new_cifti2.py

@@ -472,7 +472,7 @@ def test_pconnseries():
     hdr = ci.Cifti2Header(matrix)
     data = np.random.randn(4, 4, 13)
     img = ci.Cifti2Image(data, hdr)
-    img.nifti_header.set_intent('NIFTI_INTENT_CONNECTIVITY_PARCELLATED_' 'PARCELLATED_SERIES')
+    img.nifti_header.set_intent('NIFTI_INTENT_CONNECTIVITY_PARCELLATED_PARCELLATED_SERIES')
 
     with InTemporaryDirectory():
         ci.save(img, 'test.pconnseries.nii')
@@ -496,7 +496,7 @@ def test_pconnscalar():
     hdr = ci.Cifti2Header(matrix)
     data = np.random.randn(4, 4, 2)
     img = ci.Cifti2Image(data, hdr)
-    img.nifti_header.set_intent('NIFTI_INTENT_CONNECTIVITY_PARCELLATED_' 'PARCELLATED_SCALAR')
+    img.nifti_header.set_intent('NIFTI_INTENT_CONNECTIVITY_PARCELLATED_PARCELLATED_SCALAR')
 
     with InTemporaryDirectory():
         ci.save(img, 'test.pconnscalar.nii')

nibabel/cmdline/diff.py

@@ -51,15 +51,15 @@ def get_opt_parser():
                 '--header-fields',
                 dest='header_fields',
                 default='all',
-                help='Header fields (comma separated) to be printed as well' ' (if present)',
+                help='Header fields (comma separated) to be printed as well (if present)',
             ),
             Option(
                 '--ma',
                 '--data-max-abs-diff',
                 dest='data_max_abs_diff',
                 type=float,
                 default=0.0,
-                help='Maximal absolute difference in data between files' ' to tolerate.',
+                help='Maximal absolute difference in data between files to tolerate.',
             ),
             Option(
                 '--mr',

nibabel/cmdline/ls.py

@@ -20,7 +20,7 @@
 import nibabel.cmdline.utils
 from nibabel.cmdline.utils import _err, ap, safe_get, table2string, verbose
 
-__copyright__ = 'Copyright (c) 2011-18 Yaroslav Halchenko ' 'and NiBabel contributors'
+__copyright__ = 'Copyright (c) 2011-18 Yaroslav Halchenko and NiBabel contributors'
 __license__ = 'MIT'
 
 

nibabel/cmdline/nifti_dx.py

@@ -15,7 +15,7 @@
 import nibabel as nib
 
 __author__ = 'Matthew Brett'
-__copyright__ = 'Copyright (c) 2011-18 Matthew Brett ' 'and NiBabel contributors'
+__copyright__ = 'Copyright (c) 2011-18 Matthew Brett and NiBabel contributors'
 __license__ = 'MIT'
 
 

nibabel/data.py

@@ -13,9 +13,7 @@
 
 from .environment import get_nipy_system_dir, get_nipy_user_dir
 
-DEFAULT_INSTALL_HINT = (
-    'If you have the package, have you set the ' 'path to the package correctly?'
-)
+DEFAULT_INSTALL_HINT = 'If you have the package, have you set the path to the package correctly?'
 
 
 class DataError(Exception):

nibabel/dataobj_images.py

@@ -49,7 +49,7 @@ def dataobj(self):
 
     @property
     @deprecate_with_version(
-        '_data attribute not part of public API. ' 'please use "dataobj" property instead.',
+        '_data attribute not part of public API. Please use "dataobj" property instead.',
         '2.0',
         '4.0',
     )

nibabel/ecat.py

@@ -826,7 +826,7 @@ def __init__(self, dataobj, affine, header, subheader, mlist, extra=None, file_m
     def affine(self):
         if not self._subheader._check_affines():
             warnings.warn(
-                'Affines different across frames, loading affine ' 'from FIRST frame', UserWarning
+                'Affines different across frames, loading affine from FIRST frame', UserWarning
             )
         return self._affine
 
@@ -908,7 +908,7 @@ def from_file_map(klass, file_map, *, mmap=True, keep_file_open=None):
         # Get affine
         if not subheaders._check_affines():
             warnings.warn(
-                'Affines different across frames, loading affine ' 'from FIRST frame', UserWarning
+                'Affines different across frames, loading affine from FIRST frame', UserWarning
             )
         aff = subheaders.get_frame_affine()
         img = klass(data, aff, header, subheaders, mlist, extra=None, file_map=file_map)
@@ -1025,7 +1025,7 @@ def to_file_map(self, file_map=None):
 
     @classmethod
     def from_image(klass, img):
-        raise NotImplementedError('Ecat images can only be generated ' 'from file objects')
+        raise NotImplementedError('Ecat images can only be generated from file objects')
 
     @classmethod
     def load(klass, filespec):

nibabel/filebasedimages.py

@@ -35,7 +35,7 @@ def from_header(klass, header=None):
         if type(header) == klass:
             return header.copy()
         raise NotImplementedError(
-            'Header class requires a conversion ' f'from {klass} to {type(header)}'
+            f'Header class requires a conversion from {klass} to {type(header)}'
         )
 
     @classmethod
@@ -209,7 +209,7 @@ def __getitem__(self, key):
         raise TypeError('Cannot slice image objects.')
 
     @deprecate_with_version(
-        'get_header method is deprecated.\n' 'Please use the ``img.header`` property ' 'instead.',
+        'get_header method is deprecated.\nPlease use the ``img.header`` property instead.',
         '2.1',
         '4.0',
     )

nibabel/filename_parser.py

@@ -114,7 +114,7 @@ def types_filenames(
     """
     template_fname = _stringify_path(template_fname)
     if not isinstance(template_fname, str):
-        raise TypesFilenamesError('Need file name as input ' 'to set_filenames')
+        raise TypesFilenamesError('Need file name as input to set_filenames')
     if template_fname.endswith('.'):
         template_fname = template_fname[:-1]
     filename, found_ext, ignored, guessed_name = parse_filename(

nibabel/fileslice.py

@@ -104,7 +104,7 @@ def canonical_slicers(sliceobj, shape, check_inds=True):
         if slicer == Ellipsis:
             remaining = sliceobj[i + 1 :]
             if Ellipsis in remaining:
-                raise ValueError('More than one Ellipsis in slicing ' 'expression')
+                raise ValueError('More than one Ellipsis in slicing expression')
             real_remaining = [r for r in remaining if r is not None]
             n_ellided = n_dim - n_real - len(real_remaining)
             can_slicers.extend((slice(None),) * n_ellided)

nibabel/freesurfer/mghformat.py

@@ -313,7 +313,7 @@ def set_zooms(self, zooms):
             raise HeaderDataError('Expecting %d zoom values' % ndims)
         if np.any(zooms[:3] <= 0):
             raise HeaderDataError(
-                'Spatial (first three) zooms must be positive; got ' f'{tuple(zooms[:3])}'
+                f'Spatial (first three) zooms must be positive; got {tuple(zooms[:3])}'
             )
         hdr['delta'] = zooms[:3]
         if len(zooms) == 4:
@@ -475,7 +475,7 @@ def as_byteswapped(self, endianness=None):
 
         """
         if endianness is None or endian_codes[endianness] != '>':
-            raise ValueError('Cannot byteswap MGHHeader - ' 'must always be big endian')
+            raise ValueError('Cannot byteswap MGHHeader - must always be big endian')
         return self.copy()
 
     @classmethod