From 05c96871112d961279c254937058f9fe92b04141 Mon Sep 17 00:00:00 2001 From: cat101 Date: Tue, 11 Aug 2026 22:57:22 -0300 Subject: [PATCH 1/2] fix: allow numpy 2.x on Python 3.13 to fix broken install MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit `numpy = ">=1.21.0,<2.0.0"` has no cp313 wheels, so `pip install landingai` on Python 3.13 builds numpy 1.26.4 from sdist, which fails on Windows with `OverflowError: cannot convert longdouble infinity to integer` during numpy init — before any SDK code runs (QA release_2026_cw_33, Asana 1217364662313623). Make the numpy floor Python-version-conditional: keep 1.x for <3.13, require 2.1+ (first cp313 wheels) for >=3.13. The SDK only uses numpy APIs that survive the 2.0 migration (ndarray, array, asarray, uint8, bool_, float32/int32, stack, expand_dims, count_nonzero — no removed aliases), so 2.x is safe. Verified on Python 3.13.14: deps resolve to wheels with no source build (numpy 2.5.2, pillow 10.4.0, opencv 4.14, pandas 2.3.3), and `from landingai.predict import Predictor` imports cleanly. Co-Authored-By: Claude Fable 5 --- pyproject.toml | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 48fbbf5..c6fe5b6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -19,7 +19,13 @@ build-backend = "poetry.core.masonry.api" python = ">=3.9,<4.0" opencv-python = ">=4.5,<5.0" # about 87MB (exclude transitive dependencies) -numpy = ">=1.21.0,<2.0.0" +# numpy 1.x publishes no cp313 wheels, so on Python 3.13 pip builds 1.26.4 from +# sdist, which fails on Windows (longdouble/getlimits OverflowError). numpy 2.x +# ships 3.13 wheels; the SDK only uses APIs that survive the 2.0 migration. +numpy = [ + { version = ">=1.21.0,<2.0.0", python = "<3.13" }, + { version = ">=2.1.0,<3.0.0", python = ">=3.13" }, +] pillow = ">=9.0,<11.0" pydantic = "2.*" requests = "2.*" From 9dd6e5661b176946300496c47ba8bae6de5303e7 Mon Sep 17 00:00:00 2001 From: cat101 Date: Tue, 11 Aug 2026 22:58:51 -0300 Subject: [PATCH 2/2] chore: lock numpy 2.x for 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