Update exposure_spread function to ensure the number of lineups to remove is rounded up using math.ceil, enhancing the accuracy of player replacement from the comparable player list.

global_func/exposure_spread.py

@@ -1,5 +1,6 @@
 import random
 import numpy as np
+import math
 
 #### Goal is to choose a player and adjust the amount of lineups that have them
 #### First thing you need to do is find comparable players in the projections, so any player in the projections that is within $500 of the player and within 10% of the projection
@@ -38,7 +39,7 @@ def exposure_spread(working_frame, exposure_player, exposure_target, exposure_st
     player_rows = working_frame[player_mask]
 
     # for each row to the the number of lineups to remove, replace with random choice from comparable player list
-    for row in range(lineups_to_remove):
+    for row in range(math.ceil(lineups_to_remove)):
         player_location = np.where(working_frame.iloc[row] == exposure_player)
         working_frame.at[row, player_location[1]] = random.choice(comparable_player_list)