First Post: Personality Based Simulator

The initial python program, written with Pydroid3, outputted a string (either Jimmy was insulting or Jimmy wasn't insulting) and an associated probability of the string's occurrence.

Here, Jimmy beat the odds and became insulting.

The final version includes an environmental modifier, Jimmy's stress level.

In this output, the stress modifier can lower or raise the base probability of the string occurrence.

#The Code

import random 

from itertools import chain

action_score1= random.randint(1,5)

action1="insulting others"

agent_name= "Jimmy"

stress= random.randint(-10,10)/10

stress_modifier= stress*0.2

def action_probability(score):

    match(score):

        case(1):

            return 0.1

        case(2):

            return 0.2

        case(3):

            return 0.5

        case(4):

            return 0.6

        case(5):

            return 0.8

def action_probability_mod(score):

    match(score):

        case(1):

            return 0.1+(stress*0.1)

        case(2):

            return 0.2+stress_modifier

        case(3):

            return 0.5+stress_modifier

        case(4):

            return 0.6+stress_modifier

        case(5):

            return 0.8+stress_modifier

            

def choose(probability):

   instances=probability*100

   instances_not=100-instances

   yes_occur=int(instances)

   no_occur= int(instances_not)

   my_list=[("yes,"*yes_occur). split (","), ("no," *no_occur).split(",")]

   flat_list = list(chain(*my_list))

   c= random.choice(flat_list)

   return c

  

def text_gen(c):

    match(c):

        case('yes'):

            print(agent_name+ " is "+action1)

            print ("The probability of this was: "+ str(action_probability_mod(action_score1)))

            print ("The base probability of this was: "+ str(action_probability(action_score1)))

        case('no'):

            print(agent_name+ " is not "+action1)

            print ("The probability of this was: "+ str(1-action_probability_mod(action_score1)))

            print ("The base probability of this was: "+ str(1-action_probability(action_score1)))

             

prob=action_probability_mod(action_score1)

choice= choose(prob)

text_gen(choice)

print("stress modifier: "+ str(stress))