Remove npy<2 compatibility for ndarray_c_version

Author: Armavica

pytensor/link/c/basic.py

@@ -10,6 +10,8 @@
 from io import StringIO
 from typing import TYPE_CHECKING, Any, Optional
 
+from numpy._core._multiarray_umath import _get_ndarray_c_version
+
 from pytensor.compile.compilelock import lock_ctx
 from pytensor.configdefaults import config
 from pytensor.graph.basic import (
@@ -29,7 +31,6 @@
 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
 
 
@@ -1367,6 +1368,7 @@ def cmodule_key_(
 
         # We must always add the numpy ABI version here as
         # DynamicModule always add the include <numpy/arrayobject.h>
+        ndarray_c_version = _get_ndarray_c_version()
         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 @@
 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