Remove npy<2 compatibility for ndarray_c_version

pytensor/link/c/basic.py

@@ -29,8 +29,7 @@ from pytensor.link.c.cmodule import (
 from pytensor.link.c.cmodule import get_module_cache as _get_module_cache
 from pytensor.link.c.interface import CLinkerObject, CLinkerOp, CLinkerType
 from pytensor.link.utils import gc_helper, map_storage, raise_with_op, streamline
-from pytensor.npy_2_compat import ndarray_c_version
-from pytensor.utils import difference, uniq
+from pytensor.utils import NDARRAY_C_VERSION, difference, uniq
 
 
 NoParams = object()
@@ -1367,7 +1366,7 @@ class CLinker(Linker):
 
         # We must always add the numpy ABI version here as
         # DynamicModule always add the include <numpy/arrayobject.h>
-        sig.append(f"NPY_ABI_VERSION=0x{ndarray_c_version:X}")
+        sig.append(f"NPY_ABI_VERSION=0x{NDARRAY_C_VERSION:X}")
         if c_compiler:
             sig.append("c_compiler_str=" + c_compiler.version_str())
 

pytensor/npy_2_compat.py

@@ -10,10 +10,6 @@ numpy_version = np.lib.NumpyVersion(
 using_numpy_2 = numpy_version >= "2.0.0rc1"
 
 
-if using_numpy_2:
-    ndarray_c_version = np._core._multiarray_umath._get_ndarray_c_version()  # type: ignore[attr-defined]
-else:
-    ndarray_c_version = np.core._multiarray_umath._get_ndarray_c_version()  # type: ignore[attr-defined]
 
 
 # function that replicates np.unique from numpy < 2.0

pytensor/utils.py

@@ -22,6 +22,7 @@ __all__ = [
     "LOCAL_BITWIDTH",
     "PYTHON_INT_BITWIDTH",
     "NPY_RAVEL_AXIS",
+    "NDARRAY_C_VERSION",
     "NoDuplicateOptWarningFilter",
 ]
 
@@ -54,6 +55,8 @@ NPY_RAVEL_AXIS = np.iinfo(np.int32).min
 The value of the numpy C API NPY_RAVEL_AXIS.
 """
 
+NDARRAY_C_VERSION = np._core._multiarray_umath._get_ndarray_c_version()  # type: ignore[attr-defined]
+
 
 def __call_excepthooks(type, value, trace):
     """