#1859 - Started giving the red agent some 'intelligence' and a sense of a state. Changed Application.run to .execute.

src/primaite/game/science.py

@@ -0,0 +1,16 @@
+from random import random
+
+
+def simulate_trial(p_of_success: float):
+    """
+    Simulates the outcome of a single trial in a Bernoulli process.
+
+    This function returns True with a probability 'p_of_success', simulating a success outcome in a single
+    trial of a Bernoulli process. When this function is executed multiple times, the set of outcomes follows
+    a binomial distribution. This is useful in scenarios where one needs to model or simulate events that
+    have two possible outcomes (success or failure) with a fixed probability of success.
+
+    :param p_of_success: The probability of success in a single trial, ranging from 0 to 1.
+    :returns: True if the trial is successful (with probability 'p_of_success'); otherwise, False.
+    """
+    return random() < p_of_success