Weekly pre-commit autoupdate

.pre-commit-config.yaml

@@ -2,7 +2,7 @@
 # See https://pre-commit.com/hooks.html for more hooks
 repos:
 -   repo: https://github.com/PyCQA/bandit
-    rev: '1.9.2'
+    rev: '1.9.3'
     hooks:
     -   id: bandit
         pass_filenames: false
@@ -64,7 +64,7 @@ repos:
         additional_dependencies:
             - tomli
 -   repo: https://github.com/psf/black
-    rev: 25.12.0
+    rev: 26.1.0
     hooks:
     -   id: black
         exclude: "dpnp/_version.py"

dpnp/__init__.py

@@ -566,7 +566,6 @@
     kaiser,
 )
 
-
 # =============================================================================
 # Helper functions
 # =============================================================================

dpnp/dpnp_container.py

@@ -35,7 +35,6 @@
 
 """
 
-
 import dpctl.tensor as dpt
 import dpctl.utils as dpu
 

dpnp/dpnp_iface.py

@@ -38,6 +38,7 @@
  - The functions parameters check
 
 """
+
 # pylint: disable=protected-access
 
 import os

dpnp/dpnp_iface_arraycreation.py

@@ -39,7 +39,6 @@
 
 """
 
-
 # pylint: disable=duplicate-code
 
 import operator

dpnp/dpnp_iface_manipulation.py

@@ -39,7 +39,6 @@
 
 """
 
-
 import math
 import operator
 import warnings
@@ -3418,7 +3417,7 @@ def rot90(m, k=1, axes=(0, 1)):
         return dpnp.flip(dpnp.flip(m, axes[0]), axes[1])
 
     axes_list = list(range(0, m_ndim))
-    (axes_list[axes[0]], axes_list[axes[1]]) = (
+    axes_list[axes[0]], axes_list[axes[1]] = (
         axes_list[axes[1]],
         axes_list[axes[0]],
     )

dpnp/linalg/__init__.py

@@ -35,7 +35,6 @@
 
 """
 
-
 from .dpnp_iface_linalg import (
     LinAlgError,
     cholesky,

dpnp/random/dpnp_random_state.py

@@ -36,7 +36,6 @@
 
 """
 
-
 import dpctl.utils as dpu
 import numpy
 

dpnp/scipy/linalg/__init__.py

@@ -35,7 +35,6 @@
 
 """
 
-
 from ._decomp_lu import lu_factor, lu_solve
 
 __all__ = [

dpnp/scipy/linalg/_decomp_lu.py

@@ -39,7 +39,6 @@
 
 """
 
-
 import dpnp
 from dpnp.linalg.dpnp_utils_linalg import (
     assert_stacked_2d,
@@ -181,7 +180,7 @@ def lu_solve(lu_and_piv, b, trans=0, overwrite_b=False, check_finite=True):
 
     """
 
-    (lu, piv) = lu_and_piv
+    lu, piv = lu_and_piv
     dpnp.check_supported_arrays_type(lu, piv, b)
     assert_stacked_2d(lu)
     assert_stacked_square(lu)

dpnp/scipy/linalg/_utils.py

@@ -37,7 +37,6 @@
 
 """
 
-
 # pylint: disable=no-name-in-module
 # pylint: disable=protected-access
 

dpnp/tests/third_party/cupy/core_tests/test_flags.py

@@ -29,9 +29,7 @@ def test_key_error(self):
     def test_repr(self):
         assert """  C_CONTIGUOUS : 1
   F_CONTIGUOUS : 2
-  OWNDATA : 3""" == repr(
-            self.flags
-        )
+  OWNDATA : 3""" == repr(self.flags)
 
 
 @testing.parameterize(

dpnp/tests/third_party/cupy/core_tests/test_function.py

@@ -154,9 +154,7 @@ def test_custom_user_struct(self):
     offsets[3] = (unsigned long long)&ptr->d;
     offsets[4] = (unsigned long long)&ptr->e;
 }}
-""".format(
-            struct_definition=struct_definition
-        )
+""".format(struct_definition=struct_definition)
 
         itemsize = cupy.ndarray(shape=(1,), dtype=numpy.uint64)
         sizes = cupy.ndarray(shape=(5,), dtype=numpy.uint64)
@@ -213,9 +211,7 @@ def make_packed(basetype, N, itemsize):
     sum += s.e[0] + s.e[1] + s.e[2];
     x[i] = a[i] + sum;
 }}
-""".format(
-            struct_definition=struct_definition
-        )
+""".format(struct_definition=struct_definition)
 
         a_cpu = numpy.arange(24, dtype=numpy.float64)
         a = cupy.array(a_cpu)

dpnp/tests/third_party/cupy/core_tests/test_include.py

@@ -18,25 +18,19 @@
 #include <cupy/hip_workaround.cuh>
 """
 
-_code_nvcc = (
-    _code_base
-    + """
+_code_nvcc = _code_base + """
 #include <cupy/type_dispatcher.cuh>
 
 int main() {
     return 0;
 }
 """
-)
 
-_code_nvrtc = (
-    _code_base
-    + """
+_code_nvrtc = _code_base + """
 
 __device__ void kernel() {
 }
 """
-)
 
 
 @pytest.mark.skipif(cupy.cuda.runtime.is_hip, reason="for CUDA")

dpnp/tests/third_party/cupy/test_init.py

@@ -36,11 +36,9 @@ def _run_script(code):
 
 
 def _test_cupy_available(self):
-    returncode, stdoutdata, stderrdata = _run_script(
-        """
+    returncode, stdoutdata, stderrdata = _run_script("""
 import dpnp as cupy
-print(cupy.is_available())"""
-    )
+print(cupy.is_available())""")
     assert returncode == 0, "stderr: {!r}".format(stderrdata)
     assert stdoutdata in (b"True\n", b"True\r\n", b"False\n", b"False\r\n")
     return stdoutdata == b"True\n" or stdoutdata == b"True\r\n"
@@ -49,14 +47,12 @@ def _test_cupy_available(self):
 class TestImportError(unittest.TestCase):
 
     def test_import_error(self):
-        returncode, stdoutdata, stderrdata = _run_script(
-            """
+        returncode, stdoutdata, stderrdata = _run_script("""
 try:
     import dpnp as cupy
 except Exception as e:
     print(type(e).__name__)
-"""
-        )
+""")
         assert returncode == 0, "stderr: {!r}".format(stderrdata)
         assert stdoutdata in (b"", b"RuntimeError\n")
 

dpnp/tests/third_party/cupy/testing/_loops.py

@@ -307,7 +307,7 @@ def decorator(impl):
         @_wraps_partial_xp(impl, name, sp_name, scipy_name)
         def test_func(*args, **kw):
             # Run cupy and numpy
-            (cupy_result, cupy_error, numpy_result, numpy_error) = (
+            cupy_result, cupy_error, numpy_result, numpy_error = (
                 _call_func_numpy_cupy(impl, args, kw, name, sp_name, scipy_name)
             )
             assert cupy_result is not None or cupy_error is not None
@@ -344,9 +344,7 @@ def test_func(*args, **kw):
                         raise AssertionError(
                             """ndarrays of different dtypes are returned.
 cupy: {}
-numpy: {}""".format(
-                                cupy_r.dtype, numpy_r.dtype
-                            )
+numpy: {}""".format(cupy_r.dtype, numpy_r.dtype)
                         )
 
             # Check contiguous
@@ -902,7 +900,7 @@ def decorator(impl):
         @_wraps_partial_xp(impl, name, sp_name, scipy_name)
         def test_func(*args, **kw):
             # Run cupy and numpy
-            (cupy_result, cupy_error, numpy_result, numpy_error) = (
+            cupy_result, cupy_error, numpy_result, numpy_error = (
                 _call_func_numpy_cupy(impl, args, kw, name, sp_name, scipy_name)
             )
 
@@ -958,7 +956,7 @@ def decorator(impl):
         @_wraps_partial_xp(impl, name, sp_name, scipy_name)
         def test_func(*args, **kw):
             # Run cupy and numpy
-            (cupy_result, cupy_error, numpy_result, numpy_error) = (
+            cupy_result, cupy_error, numpy_result, numpy_error = (
                 _call_func_numpy_cupy(impl, args, kw, name, sp_name, scipy_name)
             )
 

dpnp/tests/third_party/cupy/testing/_pytest_impl.py

@@ -19,14 +19,10 @@ def is_available():
 
 def check_available(feature):
     if not is_available():
-        raise RuntimeError(
-            """\
+        raise RuntimeError("""\
 cupy.testing: {} is not available.
 
-Reason: {}: {}""".format(
-                feature, type(_error).__name__, _error
-            )
-        )
+Reason: {}: {}""".format(feature, type(_error).__name__, _error))
 
 
 if is_available():

examples/example1.py

@@ -37,7 +37,6 @@
 
 """
 
-
 import time
 
 import dpctl

examples/example2.py

@@ -37,7 +37,6 @@
 
 """
 
-
 import time
 
 import numpy

examples/example4.py

@@ -34,7 +34,6 @@
 
 """
 
-
 import numpy
 
 """