[pre-commit.ci] pre-commit autoupdate -- ruff 2025 stable format (#12521)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.8.6 → v0.9.1](https://github.com/astral-sh/ruff-pre-commit/compare/v0.8.6...v0.9.1)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Update maths/dual_number_automatic_differentiation.py

* Update maths/dual_number_automatic_differentiation.py

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update dual_number_automatic_differentiation.py

* Update dual_number_automatic_differentiation.py

* No <fin-streamer> tag with the specified data-test attribute found.

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
This commit is contained in:
pre-commit-ci[bot]
2025-01-13 21:52:12 +01:00
committed by GitHub
parent cfcc84edf7
commit 4fe50bc1fc
23 changed files with 93 additions and 91 deletions

View File

@ -48,14 +48,14 @@ def test_build_kdtree(num_points, cube_size, num_dimensions, depth, expected_res
assert kdtree is not None, "Expected a KDNode, got None"
# Check if root has correct dimensions
assert (
len(kdtree.point) == num_dimensions
), f"Expected point dimension {num_dimensions}, got {len(kdtree.point)}"
assert len(kdtree.point) == num_dimensions, (
f"Expected point dimension {num_dimensions}, got {len(kdtree.point)}"
)
# Check that the tree is balanced to some extent (simplistic check)
assert isinstance(
kdtree, KDNode
), f"Expected KDNode instance, got {type(kdtree)}"
assert isinstance(kdtree, KDNode), (
f"Expected KDNode instance, got {type(kdtree)}"
)
def test_nearest_neighbour_search():