remove print statements

Author: Jammy2211

autofit/messages/composed_transform.py

@@ -34,7 +34,7 @@ def transform(func):
     """
 
     @functools.wraps(func)
-    def wrapper(self, x, xp):
+    def wrapper(self, x, xp=np):
         x = self._transform(x)
         return func(self, x, xp)
 
@@ -225,8 +225,8 @@ def invert_natural_parameters(
         return self.base_message.invert_natural_parameters(natural_parameters)
 
     @transform
-    def cdf(self, x):
-        return self.base_message.cdf(x)
+    def cdf(self, x, xp=np):
+        return self.base_message.cdf(x, xp=xp)
 
     def log_partition(self, xp=np) -> np.ndarray:
         return self.base_message.log_partition(xp=xp)

autofit/messages/normal.py

@@ -111,7 +111,7 @@ def __init__(
         )
         self.mean, self.sigma = self.parameters
 
-    def cdf(self, x : Union[float, np.ndarray]) -> Union[float, np.ndarray]:
+    def cdf(self, x : Union[float, np.ndarray], xp=np) -> Union[float, np.ndarray]:
         """
         Compute the cumulative distribution function (CDF) of the Gaussian distribution
         at a given value or array of values `x`.

autofit/messages/truncated_normal.py

@@ -96,7 +96,7 @@ def __init__(
 
         self.mean, self.sigma, self.lower_limit, self.upper_limit = self.parameters
 
-    def cdf(self, x: Union[float, np.ndarray]) -> Union[float, np.ndarray]:
+    def cdf(self, x: Union[float, np.ndarray], xp=np) -> Union[float, np.ndarray]:
         """
         Compute the cumulative distribution function (CDF) of the truncated Gaussian distribution
         at a given value or array of values `x`.

autofit/non_linear/search/mle/bfgs/search.py

@@ -225,10 +225,6 @@ def samples_via_internal_from(
 
         weight_list = len(log_likelihood_list) * [1.0]
 
-        print(parameter_lists)
-        print(log_likelihood_list)
-        print(log_prior_list)
-
         sample_list = Sample.from_lists(
             model=model,
             parameter_lists=parameter_lists,