Support one-to-many reparameterisations

nessai/proposal/flowproposal.py

@@ -801,6 +801,11 @@ def verify_rescaling(self):
             raise RuntimeError(
                 "Rescaling must be set before it can be verified"
             )
+        if not self._reparameterisation.one_to_one:
+            logger.warning(
+                "Could not check if reparameterisation is invertible"
+            )
+            return
         logger.info("Verifying rescaling functions")
         x = self.model.new_point(N=1000)
         for inversion in ["lower", "upper", False, None]:

nessai/reparameterisations/base.py

@@ -28,6 +28,7 @@ class Reparameterisation:
     requires_bounded_prior = False
     prior_bounds = None
     prime_prior_bounds = None
+    one_to_one = True
 
     def __init__(self, parameters=None, prior_bounds=None):
         if not isinstance(parameters, (str, list)):

nessai/reparameterisations/combined.py

@@ -46,6 +46,10 @@ def requires_prime_prior(self):
         """Boolean to check if any of the priors require the prime space"""
         return any(r.requires_prime_prior for r in self.values())
 
+    @property
+    def one_to_one(self):
+        return all(r.one_to_one for r in self.values())
+
     @property
     def to_prime_order(self):
         """Order when converting to the prime space"""