better var name

Author: Mathieu Scheltienne

nibabel/casting.py

@@ -46,7 +46,7 @@ class CastingError(Exception):
     'others': [bool, object, bytes, str, np.void],
 }
 # fmt: off
-sctypes_named = {
+sctypes_aliases = {
     getattr(np, dtype)
     for dtype in (
         'int8', 'byte', 'int16', 'short', 'int32', 'intc', 'int_', 'int64', 'longlong',

nibabel/spatialimages.py

@@ -139,7 +139,7 @@
 import numpy as np
 
 from .arrayproxy import ArrayLike
-from .casting import sctypes_named
+from .casting import sctypes_aliases
 from .dataobj_images import DataobjImage
 from .filebasedimages import FileBasedHeader, FileBasedImage
 from .fileholders import FileMap
@@ -334,7 +334,7 @@ def _supported_np_types(klass: type[HasDtype]) -> set[type[np.generic]]:
         else:
             raise e
     supported = set()
-    for np_type in sctypes_named:
+    for np_type in sctypes_aliases:
         try:
             obj.set_data_dtype(np_type)
         except HeaderDataError:

nibabel/tests/test_analyze.py

@@ -26,7 +26,7 @@
 from .. import imageglobals
 from ..analyze import AnalyzeHeader, AnalyzeImage
 from ..arraywriters import WriterError
-from ..casting import as_int, sctypes_named
+from ..casting import as_int, sctypes_aliases
 from ..nifti1 import Nifti1Header
 from ..optpkg import optional_package
 from ..spatialimages import HeaderDataError, HeaderTypeError, supported_np_types
@@ -52,7 +52,7 @@ def add_duplicate_types(supported_np_types):
     # Update supported numpy types with named scalar types that map to the same set of dtypes
     dtypes = {np.dtype(t) for t in supported_np_types}
     supported_np_types.update(
-        scalar for scalar in sctypes_named if np.dtype(scalar) in dtypes
+        scalar for scalar in sctypes_aliases if np.dtype(scalar) in dtypes
     )
 
 

nibabel/tests/test_spm99analyze.py

@@ -23,7 +23,7 @@
 # files
 needs_scipy = unittest.skipUnless(have_scipy, 'scipy not available')
 
-from ..casting import sctypes_named, shared_range, type_info
+from ..casting import sctypes_aliases, shared_range, type_info
 from ..spatialimages import HeaderDataError
 from ..spm99analyze import HeaderTypeError, Spm99AnalyzeHeader, Spm99AnalyzeImage
 from ..testing import (
@@ -39,7 +39,7 @@
 # For testing, we want all concrete classes of a type
 # Key on kind, rather than abstract base classes, since timedelta64 is a signedinteger
 sctypes = {}
-for sctype in sctypes_named:
+for sctype in sctypes_aliases:
     sctypes.setdefault(np.dtype(sctype).kind, []).append(sctype)
 
 # Sort types to ensure that xdist doesn't complain about test order when we parametrize