Numpy2.0 complex types update

environment.yml

@@ -9,7 +9,7 @@ channels:
 dependencies:
   - python>=3.10
   - compilers
-  - numpy>=1.17.0
+  - conda-forge/label/numpy_dev::numpy=2.0.0rc1
   - scipy>=0.14
   - filelock
   - etuples

pyproject.toml

@@ -2,7 +2,7 @@
 requires = [
     "setuptools>=48.0.0",
     "cython",
-    "numpy>=1.17.0",
+    "numpy>=2.0.0rc1",
     "versioneer[toml]>=0.28",
 ]
 build-backend = "setuptools.build_meta"
@@ -48,7 +48,7 @@ keywords = [
 dependencies = [
     "setuptools>=48.0.0",
     "scipy>=0.14",
-    "numpy>=1.17.0",
+    "numpy>=2.0.0rc1",
     "filelock",
     "etuples",
     "logical-unification",
@@ -125,7 +125,7 @@ line-length = 88
 exclude = ["doc/", "pytensor/_version.py", "bin/pytensor_cache.py"]
 
 [tool.ruff.lint]
-select = ["C", "E", "F", "I", "UP", "W", "RUF"]
+select = ["C", "E", "F", "I", "UP", "W", "RUF", "NPY201"]
 ignore = ["C408", "C901", "E501", "E741", "RUF012"]
 
 

pytensor/link/c/basic.py

@@ -1371,8 +1371,8 @@ def cmodule_key_(
 
         # We must always add the numpy ABI version here as
         # DynamicModule always add the include <numpy/arrayobject.h>
-        if np.lib.NumpyVersion(np.__version__) < "1.16.0a":
-            ndarray_c_version = np.core.multiarray._get_ndarray_c_version()
+        if np.lib.NumpyVersion(np.__version__) >= "2.0.0rc":
+            ndarray_c_version = np._core._multiarray_umath._get_ndarray_c_version()
         else:
             ndarray_c_version = np.core._multiarray_umath._get_ndarray_c_version()
         sig.append(f"NPY_ABI_VERSION=0x{ndarray_c_version:X}")