Update deprecations and set filterwarnings to error during testing

aehmc/metrics.py

@@ -1,9 +1,9 @@
 from typing import Callable, Tuple
 
 import aesara.tensor as at
-import aesara.tensor.slinalg as slinalg
 from aesara.tensor.random.utils import RandomStream
 from aesara.tensor.shape import shape_tuple
+from aesara.tensor.slinalg import cholesky, solve_triangular
 from aesara.tensor.var import TensorVariable
 
 
@@ -51,9 +51,9 @@ def gaussian_metric(
         dot, matmul = at.dot, lambda x, y: x * y
     elif inverse_mass_matrix.ndim == 2:
         shape = (shape_tuple(inverse_mass_matrix)[0],)
-        tril_inv = slinalg.cholesky(inverse_mass_matrix)
+        tril_inv = cholesky(inverse_mass_matrix)
         identity = at.eye(*shape)
-        mass_matrix_sqrt = slinalg.solve_lower_triangular(tril_inv, identity)
+        mass_matrix_sqrt = solve_triangular(tril_inv, identity, lower=True)
         dot, matmul = at.dot, at.dot
     else:
         raise ValueError(

aehmc/proposals.py

@@ -40,7 +40,7 @@ def update(initial_energy, state):
 
         delta_energy = initial_energy - new_energy
         delta_energy = at.where(at.isnan(delta_energy), -np.inf, delta_energy)
-        is_transition_divergent = at.abs_(delta_energy) > divergence_threshold
+        is_transition_divergent = at.abs(delta_energy) > divergence_threshold
 
         weight = delta_energy
         log_p_accept = at.where(

aehmc/utils.py

@@ -5,7 +5,7 @@
 from aesara.graph.basic import Variable, ancestors
 from aesara.graph.fg import FunctionGraph
 from aesara.graph.rewriting.utils import rewrite_graph
-from aesara.tensor.rewriting.shape import ShapeFeature
+from aesara.tensor.rewriting.basic import ShapeFeature
 from aesara.tensor.var import TensorVariable
 
 

setup.cfg

@@ -16,6 +16,11 @@ convention = numpy
 [tool:pytest]
 python_files=test*.py
 testpaths=tests
+filterwarnings=
+    error:::aesara
+    error:::aeppl
+    error:::aemcmc
+    ignore:::xarray
 
 [coverage:run]
 omit =