implemented montecarlo generator routine

binarycpython/utils/population_extensions/evolution_functions.py

@@ -10,6 +10,7 @@ import time
 import json
 import queue
 import signal
+import inspect
 import datetime
 import functools
 import multiprocessing
@@ -714,7 +715,7 @@ class evolution_functions:
             # Check if all keys are known to binary_c.
             if number_of_systems_run == 0:
                 # Check if keys match known binary_c arguments
-                self._check_full_system_dict_keys()
+                self._check_full_system_dict_keys(full_system_dict)
 
             ######################
             # Handle logging of progress

binarycpython/utils/population_extensions/monte_carlo_sampling.py

@@ -215,7 +215,9 @@ class monte_carlo_sampling:
 
         # Load generator
         self._monte_carlo_sampling_load_generator()
-        generator = self.grid_options["_monte_carlo_sampling_generator"]
+        generator = self.grid_options["_monte_carlo_sampling_generator"](
+            self, print_results=False
+        )
 
         return generator
 
@@ -237,6 +239,7 @@ class monte_carlo_sampling:
                 self.grid_options["_monte_carlo_current_total_mass_evolved"]
                 > self.grid_options["monte_carlo_mass_threshold"]
             ):
+                print("YOYOYO MONTE CARLO THRESHOLD REACHED")
                 self.grid_options["_monte_carlo_threshold_reached"] = True
 
     def _monte_carlo_sampling_check_custom_threshold(self, result_queue):
@@ -245,4 +248,5 @@ class monte_carlo_sampling:
         TODO: put in the user-defined custom threshold function
         """
 
-        raise NotImplementedError("Functionality in not implemented")
+        # raise NotImplementedError("Functionality in not implemented")
+        pass