sty: pacify flake8

Author: oesteban

nitransforms/io/afni.py

@@ -67,9 +67,9 @@ def from_string(cls, string):
         tf = cls()
         sa = tf.structarr
         lines = [
-            l
-            for l in string.splitlines()
-            if l.strip() and not (l.startswith("#") or "3dvolreg matrices" in l)
+            line
+            for line in string.splitlines()
+            if line.strip() and not (line.startswith("#") or "3dvolreg matrices" in line)
         ]
 
         if not lines:
@@ -101,9 +101,9 @@ def to_string(self):
         strings = []
         for i, xfm in enumerate(self.xforms):
             lines = [
-                l.strip()
-                for l in xfm.to_string(banner=(i == 0)).splitlines()
-                if l.strip()
+                line.strip()
+                for line in xfm.to_string(banner=(i == 0)).splitlines()
+                if line.strip()
             ]
             strings += lines
         return "\n".join(strings)
@@ -124,14 +124,14 @@ def from_string(cls, string):
         _self = cls()
 
         lines = [
-            l.strip()
-            for l in string.splitlines()
-            if l.strip() and not l.startswith("#")
+            line.strip()
+            for line in string.splitlines()
+            if line.strip() and not line.startswith("#")
         ]
         if not lines:
             raise TransformFileError("Input string is empty.")
 
-        _self.xforms = [cls._inner_type.from_string(l) for l in lines]
+        _self.xforms = [cls._inner_type.from_string(line) for line in lines]
         return _self
 
 

nitransforms/io/base.py

@@ -45,7 +45,7 @@ class LinearParameters(StringBasedStruct):
 
     """
 
-    template_dtype = np.dtype([("parameters", "f8", (4, 4)),])
+    template_dtype = np.dtype([("parameters", "f8", (4, 4))])
     dtype = template_dtype
 
     def __init__(self, parameters=None):

nitransforms/io/fsl.py

@@ -45,7 +45,7 @@ def from_string(cls, string):
         """Read the struct from string."""
         tf = cls()
         sa = tf.structarr
-        lines = [l.strip() for l in string.splitlines() if l.strip()]
+        lines = [line.strip() for line in string.splitlines() if line.strip()]
         if not lines or len(lines) < 4:
             raise TransformFileError
 

nitransforms/io/itk.py

@@ -133,7 +133,7 @@ def from_matlab_dict(cls, mdict, index=0):
             "AffineTransform_double_3_3",
             mdict.get("AffineTransform_float_3_3")
         )
-        
+
         if affine is None:
             raise NotImplementedError("Unsupported transform type")
 
@@ -159,15 +159,15 @@ def from_string(cls, string):
         """Read the struct from string."""
         tf = cls()
         sa = tf.structarr
-        lines = [l.strip() for l in string.splitlines() if l.strip()]
+        lines = [line.strip() for line in string.splitlines() if line.strip()]
         if not lines or not lines[0].startswith("#"):
             raise TransformFileError
 
         if lines[1][0] == "#":
             lines = lines[1:]  # Drop banner with version
 
         parameters = np.eye(4, dtype="f4")
-        sa["index"] = int(lines[0][lines[0].index("T") :].split()[1])
+        sa["index"] = int(lines[0][lines[0].index("T"):].split()[1])
         sa["offset"] = np.genfromtxt(
             [lines[3].split(":")[-1].encode()], dtype=cls.dtype["offset"]
         )
@@ -258,7 +258,7 @@ def from_ras(cls, ras, moving=None, reference=None):
     def from_string(cls, string):
         """Read the struct from string."""
         _self = cls()
-        lines = [l.strip() for l in string.splitlines() if l.strip()]
+        lines = [line.strip() for line in string.splitlines() if line.strip()]
 
         if (
             not lines

nitransforms/io/lta.py

@@ -294,9 +294,9 @@ def from_string(klass, string):
         lta = klass()
         sa = lta.structarr
         lines = [
-            l.strip()
-            for l in string.splitlines()
-            if l.strip() and not l.strip().startswith("#")
+            line.strip()
+            for line in string.splitlines()
+            if line.strip() and not line.strip().startswith("#")
         ]
         if not lines or not lines[0].startswith("type"):
             raise TransformFileError("Invalid LTA format")

setup.cfg

@@ -56,6 +56,7 @@ max-line-length = 99
 doctests = False
 ignore =
     E266
+    E231
     W503
 
 [tool:pytest]