From e381350fc40cdc242373a4ad2b333a8d4ada6f33 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Mon, 1 Jul 2024 18:07:47 +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/asottile/blacken-docs: 1.16.0 → 1.18.0](https://github.com/asottile/blacken-docs/compare/1.16.0...1.18.0) - [github.com/pre-commit/mirrors-mypy: v1.10.0 → v1.10.1](https://github.com/pre-commit/mirrors-mypy/compare/v1.10.0...v1.10.1) - [github.com/PyCQA/flake8: 7.0.0 → 7.1.0](https://github.com/PyCQA/flake8/compare/7.0.0...7.1.0) --- .pre-commit-config.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index ff350b2a..5b9195b4 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -15,7 +15,7 @@ repos: hooks: - id: prettier - repo: https://github.com/asottile/blacken-docs - rev: 1.16.0 + rev: 1.18.0 hooks: - id: blacken-docs - repo: https://github.com/PyCQA/isort @@ -23,7 +23,7 @@ repos: hooks: - id: isort - repo: https://github.com/pre-commit/mirrors-mypy - rev: v1.10.0 + rev: v1.10.1 hooks: - id: mypy additional_dependencies: [numpy, types-PyYAML] @@ -59,7 +59,7 @@ repos: - --remove-unused-variable - --ignore-init-module-imports - repo: https://github.com/PyCQA/flake8 - rev: 7.0.0 + rev: 7.1.0 hooks: - id: flake8 additional_dependencies: From 6c2462043afe2417c6ee8f498d9d3cd5041ed0c7 Mon Sep 17 00:00:00 2001 From: Luca Marconato Date: Wed, 3 Jul 2024 12:41:55 +0200 Subject: [PATCH 2/2] fix precommit np.float_ --- src/spatialdata_io/readers/mcmicro.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/spatialdata_io/readers/mcmicro.py b/src/spatialdata_io/readers/mcmicro.py index a84121fb..22d521ad 100644 --- a/src/spatialdata_io/readers/mcmicro.py +++ b/src/spatialdata_io/readers/mcmicro.py @@ -258,7 +258,7 @@ def _create_anndata( obs=table.drop(columns=var + coords), var=markers, obsm={"spatial": table[coords].to_numpy()}, - dtype=np.float_, + dtype=float, ) adata.obs["region"] = pd.Categorical([region_value] * len(adata)) return adata, region_value