Fix flake8 errors (#318)

* Fix flake8 errors

* flake8: ignore E203

* flake8: 119 cols for now

* black

* fix comment style

* exclude cmake.py

* clang-format: sort include

Co-authored-by: Guilhem Saurel <guilhem.saurel@laas.fr>

.pre-commit-config.yaml

@@ -5,7 +5,7 @@ repos:
     rev: v14.0.6
     hooks:
     -   id: clang-format
-        args: ['--style={BasedOnStyle: Google, SortIncludes: false}']
+        args: [--style=Google]
 -   repo: https://github.com/pre-commit/pre-commit-hooks
     rev: v4.3.0
     hooks:

README.md

@@ -7,6 +7,7 @@ EigenPy — Efficient Python bindings between Numpy/Eigen
   <a href="https://anaconda.org/conda-forge/eigenpy"><img src="https://img.shields.io/conda/dn/conda-forge/eigenpy.svg" alt="Conda Downloads"/></a>
   <a href="https://anaconda.org/conda-forge/eigenpy"><img src="https://img.shields.io/conda/vn/conda-forge/eigenpy.svg" alt="Conda Version"/></a>
   <a href="https://badge.fury.io/py/eigenpy"><img src="https://badge.fury.io/py/eigenpy.svg" alt="PyPI version"></a>
+  <a href="https://github.com/psf/black"><img src="https://img.shields.io/badge/code%20style-black-000000.svg" alt="Code style: black"></a>
 </p>
 
 **EigenPy** is an open source framework which allows to bind the famous [Eigen](http://eigen.tuxfamily.org) C++ library in Python.

benchmarks/bench-switch.py

@@ -3,8 +3,8 @@ from __future__ import print_function
 import eigenpy
 import numpy as np
 
-import time
-import timeit
+import time  # noqa
+import timeit  # noqa
 
 from IPython import get_ipython
 

python/eigenpy/__init__.py

@@ -2,5 +2,5 @@
 # Copyright (c) 2017-2021 CNRS INRIA
 #
 
-from .eigenpy_pywrap import *
-from .eigenpy_pywrap import __version__, __raw_version__
+from .eigenpy_pywrap import *  # noqa
+from .eigenpy_pywrap import __version__, __raw_version__  # noqa

setup.cfg

+[flake8]
+extend-ignore = E203
+max-line-length = 88
+exclude = cmake/.docs/cmake.py

unittest/eigen_ref.cpp

@@ -6,6 +6,7 @@
 #include <iostream>
 
 #include "eigenpy/eigenpy.hpp"
+// include main header first
 #include "eigenpy/eigen-from-python.hpp"
 
 using namespace Eigen;

unittest/python/test_LLT.py

 import eigenpy
 
 import numpy as np
-import numpy.linalg as la
 
 dim = 100
 A = np.random.rand(dim, dim)

unittest/python/test_complex.py

 from __future__ import print_function
 
 import numpy as np
-from complex import *
+from complex import switchToNumpyArray, real, imag, ascomplex
 
 switchToNumpyArray()
 

unittest/python/test_dimensions.py

 from __future__ import print_function
 
 import eigenpy
-import numpy as np
 
 quat = eigenpy.Quaternion()
 # By default, we convert as numpy.matrix

unittest/python/test_eigen_ref.py

 import numpy as np
-from eigen_ref import *
+from eigen_ref import (
+    printMatrix,
+    asRef,
+    asConstRef,
+    fill,
+    getBlock,
+    editBlock,
+    modify_block,
+    has_ref_member,
+)
 
 
 def test(mat):

unittest/python/test_geometry.py

 from __future__ import print_function
 
-from geometry import *
+from geometry import (
+    AngleAxis,
+    Quaternion,
+    testOutAngleAxis,
+    testInAngleAxis,
+    testOutQuaternion,
+    testInQuaternion,
+)
 import numpy as np
-from numpy import cos, sin
+from numpy import cos
 
 verbose = True
 

unittest/python/test_return_by_ref.py

@@ -21,7 +21,7 @@ def test_shared(mat):
     try:
         m_const_ref.fill(2)
         assert False
-    except:
+    except Exception:
         assert True
 
 
@@ -43,7 +43,7 @@ def test_not_shared(mat):
     try:
         m_const_ref.fill(2)
         assert True
-    except:
+    except Exception:
         assert False
 
 

unittest/python/test_self_adjoint_eigen_solver.py

 import eigenpy
 
-eigenpy.switchToNumpyArray()
-
 import numpy as np
-import numpy.linalg as la
+
+eigenpy.switchToNumpyArray()
 
 dim = 100
 A = np.random.rand(dim, dim)

unittest/python/test_user_type.py

@@ -14,11 +14,12 @@ def test(dtype):
     assert (mat == mat_copy).all()
     assert not (mat != mat_copy).all()
 
-    #  if version.parse(np.__version__) >= version.parse("1.21.0"): # check if it fixes for new versio of NumPy
-    #    mat.fill(mat.dtype.type(20.))
-    #    mat_copy = mat.copy()
-    #    assert((mat == mat_copy).all())
-    #    assert(not (mat != mat_copy).all())
+    # if version.parse(np.__version__) >= version.parse("1.21.0"):
+    # # check if it fixes for new version of NumPy
+    # mat.fill(mat.dtype.type(20.0))
+    # mat_copy = mat.copy()
+    # assert (mat == mat_copy).all()
+    # assert not (mat != mat_copy).all()
 
     mat_op = mat + mat
     mat_op = mat.copy(order="F") + mat.copy(order="C")
@@ -28,7 +29,7 @@ def test(dtype):
     mat_op = mat.dot(mat.T)
     mat_op = mat / mat
 
-    mat_op = -mat
+    mat_op = -mat  # noqa
 
     assert (mat >= mat).all()
     assert (mat <= mat).all()
@@ -47,7 +48,7 @@ def test_cast(from_dtype, to_dtype):
     np.can_cast(from_dtype, to_dtype)
 
     from_mat = np.zeros((rows, cols), dtype=from_dtype)
-    to_mat = from_mat.astype(dtype=to_dtype)
+    to_mat = from_mat.astype(dtype=to_dtype)  # noqa
 
 
 test(user_type.CustomDouble)