Try to debug numpy issue

Author: denialhaag

noxfile.py

@@ -32,7 +32,7 @@
 nox.needs_version = ">=2025.10.16"
 nox.options.default_venv_backend = "uv"
 
-PYTHON_ALL_VERSIONS = ["3.10", "3.11", "3.12", "3.13", "3.14"]
+PYTHON_ALL_VERSIONS = ["3.14"]
 
 if os.environ.get("CI", None):
     nox.options.error_on_missing_interpreters = True
@@ -98,6 +98,7 @@ def _run_tests(
     )
     if extra_command:
         session.run(*extra_command, env=env)
+    session.run("uv", "pip", "install", "threadpoolctl")
     if "--cov" in session.posargs:
         # try to use the lighter-weight `sys.monitoring` coverage core
         env["COVERAGE_CORE"] = "sysmon"

pyproject.toml

@@ -54,10 +54,10 @@ dependencies = [
     "numpy>=2.1.0, !=2.4.2; python_version >= '3.13'",
     "numpy>=2.3.2, !=2.4.2; python_version >= '3.14'",
     "networkx>=3.0",
-    "scipy>=1.10; python_version < '3.12'",
-    "scipy>=1.12; python_version >= '3.12'",
-    "scipy>=1.15; python_version >= '3.13'",
-    "scipy>=1.16.1; python_version >= '3.14'",
+    # "scipy>=1.10; python_version < '3.12'",
+    # "scipy>=1.12; python_version >= '3.12'",
+    # "scipy>=1.15; python_version >= '3.13'",
+    # "scipy>=1.16.1; python_version >= '3.14'",
     "h5py>=3.8; python_version >= '3.11'",
     "h5py>=3.12.1; python_version >= '3.12'",
     "h5py>=3.15.0; python_version >= '3.14'",
@@ -141,7 +141,7 @@ write_to = "python/mqt/qudits/_version.py"
 
 [tool.pytest]
 minversion = "9.0"
-testpaths = ["test/python"]
+testpaths = ["test/python/test_array.py"]
 strict = true
 addopts = [
   "-ra",

test/python/test_array.npy

@@ -0,0 +1,20 @@
+# Copyright (c) 2023 - 2026 Chair for Design Automation, TUM
+# Copyright (c) 2025 - 2026 Munich Quantum Software Company GmbH
+# All rights reserved.
+#
+# SPDX-License-Identifier: MIT
+#
+# Licensed under the MIT License
+
+from pathlib import Path
+
+import numpy as np
+
+
+def test_array() -> None:
+    test_array_path = Path(__file__).parent / "test_array.npy"
+    test_array = np.load(test_array_path)
+    norm = np.linalg.norm(test_array)
+    np.show_runtime()
+    print(f"norm = {norm}")
+    assert np.isclose(norm, 1.0)