From f5719b0ce77f00e77ffecc3896373894e6d18dad Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Mon, 9 Mar 2026 18:57:08 +0000 Subject: [PATCH 1/2] [pre-commit.ci] pre-commit autoupdate MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit updates: - [github.com/biomejs/pre-commit: v2.3.10 → v2.4.6](https://github.com/biomejs/pre-commit/compare/v2.3.10...v2.4.6) - [github.com/astral-sh/ruff-pre-commit: v0.14.11 → v0.15.5](https://github.com/astral-sh/ruff-pre-commit/compare/v0.14.11...v0.15.5) --- .pre-commit-config.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 7b5c4676..12ecdfaa 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -7,11 +7,11 @@ default_stages: minimum_pre_commit_version: 2.16.0 repos: - repo: https://github.com/biomejs/pre-commit - rev: v2.3.10 + rev: v2.4.6 hooks: - id: biome-format - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.14.11 + rev: v0.15.5 hooks: - id: ruff-check args: [--fix, --exit-non-zero-on-fix, --unsafe-fixes] From e3415eb42f6e958d432e484d811d65957630c7af Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Mon, 9 Mar 2026 18:57:30 +0000 Subject: [PATCH 2/2] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- biomni/tool/cancer_biology.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/biomni/tool/cancer_biology.py b/biomni/tool/cancer_biology.py index c512bbea..4824a271 100644 --- a/biomni/tool/cancer_biology.py +++ b/biomni/tool/cancer_biology.py @@ -1233,8 +1233,9 @@ def norm_chr(x): r_end = r["end"] r_start = r["start"] overlaps["ov_len"] = overlaps.apply( - lambda row, r_end=r_end, r_start=r_start: min(row[end_col], r_end) - - max(row[start_col], r_start), + lambda row, r_end=r_end, r_start=r_start: ( + min(row[end_col], r_end) - max(row[start_col], r_start) + ), axis=1, ) best = overlaps.sort_values("ov_len", ascending=False).iloc[0]