Changed copy to deepcopy for rng

pytensor/link/numba/dispatch/random.py

 from collections.abc import Callable
-from copy import copy
+from copy import copy, deepcopy
 from functools import singledispatch
 from textwrap import dedent
 
@@ -34,7 +34,7 @@ def copy_NumPyRandomGenerator(rng):
     def impl(rng):
         # TODO: Open issue on Numba?
         with numba.objmode(new_rng=types.npy_rng):
-            new_rng = copy(rng)
+            new_rng = deepcopy(rng)
 
         return new_rng
 

pytensor/tensor/random/op.py

 import warnings
 from collections.abc import Sequence
-from copy import copy
+from copy import deepcopy
 from typing import Any, cast
 
 import numpy as np
@@ -395,7 +395,7 @@ class RandomVariable(Op):
 
         # Draw from `rng` if `self.inplace` is `True`, and from a copy of `rng` otherwise.
         if not self.inplace:
-            rng = copy(rng)
+            rng = deepcopy(rng)
 
         outputs[0][0] = rng
         outputs[1][0] = np.asarray(

tests/tensor/random/test_basic.py

 import pickle
 import re
-from copy import copy
+from copy import deepcopy
 
 import numpy as np
 import pytest
@@ -114,7 +114,9 @@ def compare_sample_values(rv, *params, rng=None, test_fn=None, **kwargs):
 
     pt_rng = shared(rng, borrow=True)
 
-    numpy_res = np.asarray(test_fn(*param_vals, random_state=copy(rng), **kwargs_vals))
+    numpy_res = np.asarray(
+        test_fn(*param_vals, random_state=deepcopy(rng), **kwargs_vals)
+    )
 
     pytensor_res = rv(*params, rng=pt_rng, **kwargs)