testing things with the MC sampling

binarycpython/utils/population_extensions/monte_carlo_sampling.py

 """
 Main script to provide the Monte-Carlo sampling class extensions
-
-TODO: some of the parameters that we use to sample require previous parameters. We need to set up a method to include making CDFs for those:
-TODO: rename the GridVariable to SamplingVariable
-TODO: add a property of 'parameter_dependence' which holds a list of other parameters that the current samplingVariable needs to calculate their cdf from
-TODO: build CDFS in a nested dict fashing where the parameter the current parameter depends on are stored in some binned way s.t. we can can access the CDFs
 """
 
 import datetime
@@ -1088,11 +1083,19 @@ class monte_carlo_sampling:
         Function to get the generator for the source_file sampling method. Called by _get_generator and used in the actual evolution loop.
         """
 
-        # Write monte_carlo generator
-        self._monte_carlo_sampling_write_generator()
+        # Write the sampling functions file
+        self._monte_carlo_sampling_write_sampling_functions_file()
+
+        # Load the sampling functions
+        self._monte_carlo_sampling_load_sampling_functions_file()
+
+        # Write generator file
+        self._monte_carlo_sampling_write_generator_file()
 
         # Load generator
         self._monte_carlo_sampling_load_generator()
+
+        # Get generator file
         generator = self.grid_options["_monte_carlo_sampling_generator"](
             self, print_results=False
         )