Merge pull request numpy#27307 from DimitriPapadopoulos/W

MAINT: Apply ruff/pycodestyle warning rules (W)

Author: charris

benchmarks/benchmarks/bench_linalg.py

@@ -111,7 +111,7 @@ def time_norm_small_array(self):
 
     def time_det_small_array(self):
         np.linalg.det(self.array_5_5)
-        
+
 class Lstsq(Benchmark):
     def setup(self):
         self.a = get_squares_()['float64']

benchmarks/benchmarks/bench_polynomial.py

@@ -22,8 +22,8 @@ def time_polynomial_evaluation_array_3(self):
 
     def time_polynomial_evaluation_array_1000(self):
         self.polynomial_degree2(self.array1000)
-        
+
     def time_polynomial_addition(self):
         _ = self.polynomial_degree2 + self.polynomial_degree2
-        
+
 

benchmarks/benchmarks/bench_ufunc.py

@@ -597,7 +597,7 @@ def setup(self, dtype):
         N = 1000000
         self.a = np.random.randint(20, size=N).astype(dtype)
         self.b = np.random.randint(4, size=N).astype(dtype)
-        
+
     def time_pow(self, dtype):
         np.power(self.a, self.b)
 

doc/source/user/plots/matplotlib1.py

@@ -3,5 +3,5 @@
 
 a = np.array([2, 1, 5, 7, 4, 6, 8, 14, 10, 9, 18, 20, 22])
 
-plt.plot(a) 
-plt.show()
+plt.plot(a)
+plt.show()

doc/source/user/plots/matplotlib2.py

@@ -5,4 +5,4 @@
 y = np.linspace(0, 10, 20)
 plt.plot(x, y, 'purple') # line
 plt.plot(x, y, 'o')      # dots
-plt.show()
+plt.show()

doc/source/user/plots/matplotlib3.py

@@ -11,4 +11,4 @@
 
 ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap='viridis')
 
-plt.show()
+plt.show()

numpy/__init__.py

@@ -169,7 +169,7 @@
         vstack, where, zeros, zeros_like
     )
 
-    # NOTE: It's still under discussion whether these aliases 
+    # NOTE: It's still under discussion whether these aliases
     # should be removed.
     for ta in ["float96", "float128", "complex192", "complex256"]:
         try:
@@ -184,21 +184,21 @@
         histogram, histogram_bin_edges, histogramdd
     )
     from .lib._nanfunctions_impl import (
-        nanargmax, nanargmin, nancumprod, nancumsum, nanmax, nanmean, 
+        nanargmax, nanargmin, nancumprod, nancumsum, nanmax, nanmean,
         nanmedian, nanmin, nanpercentile, nanprod, nanquantile, nanstd,
         nansum, nanvar
     )
     from .lib._function_base_impl import (
-        select, piecewise, trim_zeros, copy, iterable, percentile, diff, 
+        select, piecewise, trim_zeros, copy, iterable, percentile, diff,
         gradient, angle, unwrap, sort_complex, flip, rot90, extract, place,
         vectorize, asarray_chkfinite, average, bincount, digitize, cov,
         corrcoef, median, sinc, hamming, hanning, bartlett, blackman,
         kaiser, trapezoid, trapz, i0, meshgrid, delete, insert, append,
         interp, quantile
     )
     from .lib._twodim_base_impl import (
-        diag, diagflat, eye, fliplr, flipud, tri, triu, tril, vander, 
-        histogram2d, mask_indices, tril_indices, tril_indices_from, 
+        diag, diagflat, eye, fliplr, flipud, tri, triu, tril, vander,
+        histogram2d, mask_indices, tril_indices, tril_indices_from,
         triu_indices, triu_indices_from
     )
     from .lib._shape_base_impl import (
@@ -207,7 +207,7 @@
         take_along_axis, tile, vsplit
     )
     from .lib._type_check_impl import (
-        iscomplexobj, isrealobj, imag, iscomplex, isreal, nan_to_num, real, 
+        iscomplexobj, isrealobj, imag, iscomplex, isreal, nan_to_num, real,
         real_if_close, typename, mintypecode, common_type
     )
     from .lib._arraysetops_impl import (
@@ -232,7 +232,7 @@
     )
     from .lib._index_tricks_impl import (
         diag_indices_from, diag_indices, fill_diagonal, ndindex, ndenumerate,
-        ix_, c_, r_, s_, ogrid, mgrid, unravel_index, ravel_multi_index, 
+        ix_, c_, r_, s_, ogrid, mgrid, unravel_index, ravel_multi_index,
         index_exp
     )
 
@@ -246,7 +246,7 @@
     # (experimental label) are not added here, because `from numpy import *`
     # must not raise any warnings - that's too disruptive.
     __numpy_submodules__ = {
-        "linalg", "fft", "dtypes", "random", "polynomial", "ma", 
+        "linalg", "fft", "dtypes", "random", "polynomial", "ma",
         "exceptions", "lib", "ctypeslib", "testing", "typing",
         "f2py", "test", "rec", "char", "core", "strings",
     }
@@ -395,7 +395,7 @@ def __getattr__(attr):
 
         if attr in __former_attrs__:
             raise AttributeError(__former_attrs__[attr], name=None)
-        
+
         if attr in __expired_attributes__:
             raise AttributeError(
                 f"`np.{attr}` was removed in the NumPy 2.0 release. "
@@ -419,7 +419,7 @@ def __dir__():
             globals().keys() | __numpy_submodules__
         )
         public_symbols -= {
-            "matrixlib", "matlib", "tests", "conftest", "version", 
+            "matrixlib", "matlib", "tests", "conftest", "version",
             "compat", "distutils", "array_api"
         }
         return list(public_symbols)
@@ -495,7 +495,7 @@ def _mac_os_check():
     def hugepage_setup():
         """
         We usually use madvise hugepages support, but on some old kernels it
-        is slow and thus better avoided. Specifically kernel version 4.6 
+        is slow and thus better avoided. Specifically kernel version 4.6
         had a bug fix which probably fixed this:
         https://github.com/torvalds/linux/commit/7cf91a98e607c2f935dbcc177d70011e95b8faff
         """
@@ -504,7 +504,7 @@ def hugepage_setup():
             # If there is an issue with parsing the kernel version,
             # set use_hugepage to 0. Usage of LooseVersion will handle
             # the kernel version parsing better, but avoided since it
-            # will increase the import time. 
+            # will increase the import time.
             # See: #16679 for related discussion.
             try:
                 use_hugepage = 1

numpy/_core/_add_newdocs_scalars.py

@@ -292,12 +292,12 @@ def add_newdoc_for_scalar_type(obj, fixed_aliases, doc):
     ``1970-01-01T00:00:00``.
     If created from string, the string can be in ISO 8601 date
     or datetime format.
-    
+
     When parsing a string to create a datetime object, if the string contains
-    a trailing timezone (A 'Z' or a timezone offset), the timezone will be 
+    a trailing timezone (A 'Z' or a timezone offset), the timezone will be
     dropped and a User Warning is given.
-    
-    Datetime64 objects should be considered to be UTC and therefore have an 
+
+    Datetime64 objects should be considered to be UTC and therefore have an
     offset of +0000.
 
     >>> np.datetime64(10, 'Y')

numpy/_core/_type_aliases.py

@@ -63,7 +63,7 @@
 
 # extra aliases are added only to `sctypeDict`
 # to support dtype name access, such as`np.dtype("float")`
-_extra_aliases = {  
+_extra_aliases = {
     "float": "float64",
     "complex": "complex128",
     "object": "object_",
@@ -104,8 +104,8 @@
 
     # find proper group for each concrete type
     for type_group, abstract_type in [
-        ("int", ma.signedinteger), ("uint", ma.unsignedinteger), 
-        ("float", ma.floating), ("complex", ma.complexfloating), 
+        ("int", ma.signedinteger), ("uint", ma.unsignedinteger),
+        ("float", ma.floating), ("complex", ma.complexfloating),
         ("others", ma.generic)
     ]:
         if issubclass(concrete_type, abstract_type):

numpy/_core/code_generators/ufunc_docstrings.py

@@ -3707,7 +3707,7 @@ def add_newdoc(place, name, doc):
     There is more than one definition of sign in common use for complex
     numbers.  The definition used here, :math:`x/|x|`, is the more common
     and useful one, but is different from the one used in numpy prior to
-    version 2.0, :math:`x/\\sqrt{x*x}`, which is equivalent to 
+    version 2.0, :math:`x/\\sqrt{x*x}`, which is equivalent to
     ``sign(x.real) + 0j if x.real != 0 else sign(x.imag) + 0j``.
 
     Examples
@@ -4650,7 +4650,7 @@ def add_newdoc(place, name, doc):
     array(True)
     >>> a = np.array(["hello", "HELLO", "Hello"])
     >>> np.strings.isupper(a)
-    array([False,  True, False]) 
+    array([False,  True, False])
 
     """)