trunc

Author: dweindl

petab/v1/distributions.py

@@ -425,17 +425,19 @@ class LogUniform(Distribution):
 
     :param low: The lower bound of the distribution.
     :param high: The upper bound of the distribution.
+    :param trunc: The truncation limits of the distribution.
     """
 
     def __init__(
         self,
         low: float,
         high: float,
+        trunc: tuple[float, float] | None = None,
     ):
         self._logbase = np.exp(1)
         self._low = self._log(low)
         self._high = self._log(high)
-        super().__init__(log=self._logbase)
+        super().__init__(log=self._logbase, trunc=trunc)
 
     def __repr__(self):
         return self._repr({"low": self._low, "high": self._high})

petab/v2/core.py

@@ -1065,10 +1065,7 @@ def prior_dist(self) -> Distribution:
         if cls == LogUniform:
             # Mind the different interpretation of distribution parameters for
             #  Uniform(..., log=True) and LogUniform!!
-            # `LogUniform.__init__` does not accept the `trunc` parameter
-            low = max(self.prior_parameters[0], self.lb)
-            high = min(self.prior_parameters[1], self.ub)
-            return cls(low, high)
+            return cls(*self.prior_parameters, trunc=[self.lb, self.ub])
 
         return cls(*self.prior_parameters, log=log, trunc=[self.lb, self.ub])