From 1d0819117b2e2e5f9dcb704c179f824788265709 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Sun, 25 Oct 2026 17:42:46 +0000 Subject: [PATCH] Build(deps-dev): Update numpy requirement from >=1.26.4 to >=2.4.6 Updates the requirements on [numpy](https://github.com/numpy/numpy) to permit the latest version. - [Release notes](https://github.com/numpy/numpy/releases) - [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst) - [Commits](https://github.com/numpy/numpy/compare/v1.26.4...v2.4.6) --- updated-dependencies: - dependency-name: numpy dependency-version: 2.4.6 dependency-type: direct:development ... Signed-off-by: dependabot[bot] --- pyproject.toml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 67892ad..1099873 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -49,7 +49,7 @@ managed = false test = [ "pytest>=9.0.3", "pytest-cov", - "numpy>=1.26.4", + "numpy>=2.4.6", "requests>=2.33.0", # HTTP API / docs-example tests # Real clients for the bundled wire protocols. Test-only: none of these # reaches an end user's install, and without them three shipped protocols @@ -84,12 +84,12 @@ dev = [ "mypy", "pytest>=9.0.3", "pytest-cov", - "numpy>=1.26.4", + "numpy>=2.4.6", "requests>=2.33.0", # HTTP API / docs-example tests "bandit>=1.9.1", ] vector = [ - "numpy>=1.26.4", + "numpy>=2.4.6", ] # Optional: ResultSet.to_arrow(). The columnar bridge already emits packed # columns with a null bitmap, so this adds no Java and no jars to the wheel; @@ -97,7 +97,7 @@ vector = [ # None and callers fall back to to_columns(). arrow = [ "pyarrow>=23.0.1", - "numpy>=1.26.4", + "numpy>=2.4.6", ] # Optional: ResultSet.to_dataframe(). Shipped and documented long before this # extra existed, so the only way to discover the dependency was to call the @@ -111,7 +111,7 @@ arrow = [ # stays as it is and is documented rather than quietly aligned. pandas = [ "pandas>=2.2.0", - "numpy>=1.26.4", + "numpy>=2.4.6", ] # Optional: ResultSet.to_polars() and insert_dataframe() with a Polars frame. Both go # through Arrow, so pyarrow comes with it. insert_dataframe() with a pandas frame needs @@ -120,7 +120,7 @@ pandas = [ polars = [ "polars>=1.0", "pyarrow>=23.0.1", - "numpy>=1.26.4", + "numpy>=2.4.6", ] examples = [ "py7zr>=1.1.3", # Required for Stack Exchange data downloads