use warnings

Author: aloctavodia

preliz/ppls/agnostic.py

@@ -30,7 +30,7 @@
 try:
     from pymc import sample_prior_predictive
 except ImportError:
-    pass
+    warnings.warn("PyMC not installed. PyMC related functions will not work.")
 
 
 def posterior_to_prior(model, idata, new_families=None, engine="auto"):

preliz/ppls/pymc_io.py

@@ -1,5 +1,6 @@
 """Methods to communicate with PyMC."""
 
+import warnings
 from copy import copy
 from sys import modules
 
@@ -11,8 +12,8 @@
     from pytensor import function
     from pytensor.graph.traversal import ancestors
     from pytensor.tensor import TensorConstant, matrix
-except ModuleNotFoundError:
-    pass
+except ImportError:
+    warnings.warn("PyMC not installed. PyMC related functions will not work.")
 
 from preliz.distributions import Gamma, HalfNormal, Normal
 from preliz.internal.distribution_helper import get_distributions