From a86e7b3c0a0e30a2134474ca7d4604412ab6bef4 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Mon, 21 Sep 2026 16:31:53 +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/astral-sh/ruff-pre-commit: v0.16.2 → v0.16.8](https://github.com/astral-sh/ruff-pre-commit/compare/v0.16.2...v0.16.8) - [github.com/PyCQA/bandit: 1.7.9 → 1.9.4](https://github.com/PyCQA/bandit/compare/1.7.9...1.9.4) --- .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 af3eb03..8874b0a 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -33,7 +33,7 @@ repos: - repo: https://github.com/astral-sh/ruff-pre-commit # Ruff version. - rev: v0.16.2 + rev: v0.16.8 hooks: # Run the linter. - id: ruff-check @@ -55,7 +55,7 @@ repos: # - id: codespell - repo: https://github.com/PyCQA/bandit - rev: 1.7.9 + rev: 1.9.4 hooks: - id: bandit args: ["-c", "pyproject.toml"] From 000da3866038023462cd58ca6d6f3f14eabe0a1d Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Mon, 21 Sep 2026 16:34:07 +0000 Subject: [PATCH 2/2] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- README.md | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index fcd16aa..7f3b14c 100644 --- a/README.md +++ b/README.md @@ -71,7 +71,9 @@ To create a `SummarizedExperiment`, from summarizedexperiment import SummarizedExperiment tse = SummarizedExperiment( - assays={"counts": counts}, row_data=row_data, column_data=col_data, + assays={"counts": counts}, + row_data=row_data, + column_data=col_data, metadata={"seq_platform": "Illumina NovaSeq 6000"}, ) ``` @@ -93,8 +95,10 @@ from summarizedexperiment import RangedSummarizedExperiment from genomicranges import GenomicRanges trse = RangedSummarizedExperiment( - assays={"counts": counts}, row_data=row_data, - row_ranges=GenomicRanges.from_pandas(row_data.to_pandas()), column_data=col_data + assays={"counts": counts}, + row_data=row_data, + row_ranges=GenomicRanges.from_pandas(row_data.to_pandas()), + column_data=col_data, ) ```