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Given inputs a, 8, 7, 8, ko, uo, nas: 1.5 .001 .05 2.5 100 2 10 The program outputs ==>Bull Kelp and Purple Urchin Population Simulator <== Model Parameters Kelp growth rate: Kelp death rate: Urchin birth rate: Urchin death rate: Initial Population --- Kelp population (in thousands) at t = 0: Urchin population (in thousands) at t = 0: --- Simulation --- Timescale: Time t = 0: 100.000k kelp, 2.000k urchins Time t = 1: 249.800k kelp, 7.000k urchins Time t = 2: 622.751k kelp, 76.930k urchins Time t = 3: 1508.970k kelp, 2280.018k urchins Time t = 4: 331.946k kelp, 168603.957k urchins 0.000k kelp, 2545463.659k urchins 0.000k kelp, 0.000k urchins Time t = 5: Time t = 6: Time t = 7: 0.000k kelp, 0.000k urchins Time t = 8: 0.000k kelp, 0.000k urchins Time t = 9: 0.000k kelp, 0.000k urchins Time t = 10: 0.000k kelp, 0.000k urchins --- Simulation Statistics --- Average kelp population: 255.770k Average urchin population: 246948.506k Min kelp population was 0.000k at t-5.000 Max urchin population was 2545463.659k at t-5.000

Given inputs a, 8, 7, 8, ko, uo, nas: 1.5 .001 .05 2.5 100 2 10 The program outputs ==>Bull Kelp and Purple Urchin Population Simulator <== Model Parameters Kelp growth rate: Kelp death rate: Urchin birth rate: Urchin death rate: Initial Population --- Kelp population (in thousands) at t = 0: Urchin population (in thousands) at t = 0: --- Simulation --- Timescale: Time t = 0: 100.000k kelp, 2.000k urchins Time t = 1: 249.800k kelp, 7.000k urchins Time t = 2: 622.751k kelp, 76.930k urchins Time t = 3: 1508.970k kelp, 2280.018k urchins Time t = 4: 331.946k kelp, 168603.957k urchins 0.000k kelp, 2545463.659k urchins 0.000k kelp, 0.000k urchins Time t = 5: Time t = 6: Time t = 7: 0.000k kelp, 0.000k urchins Time t = 8: 0.000k kelp, 0.000k urchins Time t = 9: 0.000k kelp, 0.000k urchins Time t = 10: 0.000k kelp, 0.000k urchins --- Simulation Statistics --- Average kelp population: 255.770k Average urchin population: 246948.506k Min kelp population was 0.000k at t-5.000 Max urchin population was 2545463.659k at t-5.000

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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with the python code that i have given can you add the part that goes with the Simulation Statistics 

1 print('==> Bull Kelp and Purple Urchin Population Simulator <==\n') 2 print('- Model Parameters ---') a float(input ("Kelp growth rate: \n")) if a<0: print("Error: cannot have a negative growth rate") exit() b =float(input("Kelp death rate: \n")) 8 if b<0: 9 10 11 c =float 12 if c<0: 13 14 4 5 6 16 17 18 19 ko 29 30 31 print("Error: cannot have a negative death rate") exit() ko = max(0, float(input())) 20 u0= max(0, float(input())) 21 k =k0 33 34 35 22 u =u0 23 print( \n--- Initial Population ---') 24 print (f"Kelp population (in thousands) at t = 0: ") 25 print (f"Urchin population (in thousands) at t = 0: \n") 26 27 print('--- Simulation ---') m m m print("Error: exit() 36 (input("Urchin birth rate: \n")) print("Error: cannot have a negative birth rate") exit() d =float (input ("Urchin death rate: \n")) if d<0: 37 cannot have a negative death rate") n = int(input("Timescale: \n")) if n < 0: print("Error: cannot have a negative timescale ") exit() for t in range (n+1): # 0, 1 print (f"Time t = {t}: {k:.3f}k kelp, {u:.3f}k urchins") k_next = max(0, k + a*k - b*k*u) u_next max (0, u + c*k*u - d*u) k = k_next u = u next
Transcribed Image Text:1 print('==> Bull Kelp and Purple Urchin Population Simulator <==\n') 2 print('- Model Parameters ---') a float(input ("Kelp growth rate: \n")) if a<0: print("Error: cannot have a negative growth rate") exit() b =float(input("Kelp death rate: \n")) 8 if b<0: 9 10 11 c =float 12 if c<0: 13 14 4 5 6 16 17 18 19 ko 29 30 31 print("Error: cannot have a negative death rate") exit() ko = max(0, float(input())) 20 u0= max(0, float(input())) 21 k =k0 33 34 35 22 u =u0 23 print( \n--- Initial Population ---') 24 print (f"Kelp population (in thousands) at t = 0: ") 25 print (f"Urchin population (in thousands) at t = 0: \n") 26 27 print('--- Simulation ---') m m m print("Error: exit() 36 (input("Urchin birth rate: \n")) print("Error: cannot have a negative birth rate") exit() d =float (input ("Urchin death rate: \n")) if d<0: 37 cannot have a negative death rate") n = int(input("Timescale: \n")) if n < 0: print("Error: cannot have a negative timescale ") exit() for t in range (n+1): # 0, 1 print (f"Time t = {t}: {k:.3f}k kelp, {u:.3f}k urchins") k_next = max(0, k + a*k - b*k*u) u_next max (0, u + c*k*u - d*u) k = k_next u = u next
Given inputs a, 6, 7, 8, ko, uo, nas: 1.5 .001 .05 2.5 100 2 10 The program outputs ==> Bull Kelp and Purple Urchin Population Simulator <== - Model Parameters Kelp growth rate: Kelp death rate: Urchin birth rate: Urchin death rate: Initial Population Kelp population (in thousands) at t = 0: Urchin population (in thousands) at t = 0: - Simulation --- Timescale: Time t = 0: 100.000k kelp, 2.000k urchins Time t = 1: 249.800k kelp, 7.000k urchins Time t = 2: Time t = 3: Time t = 4: Time t = 5: --- 622.751k kelp, 76.930k urchins 1508.970k kelp, 2280.018k urchins 331.946k kelp, 168603.957k urchins 0.000k kelp, 2545463.659k urchins 0.000k kelp, 0.000k urchins Time t = 6: Time t = 7: 0.000k kelp, 0.000k urchins Time t = 8: 0.000k kelp, 0.000k urchins Time t = 9: 0.000k kelp, 0.000k urchins Time t = 10: 0.000k kelp, 0.000k urchins --- Simulation Statistics Average kelp population: 255.770k Average urchin population: 246948.506k --- Min kelp population was 0.000k at t=5.000 Max urchin population was 2545463.659k at t-5.000
Transcribed Image Text:Given inputs a, 6, 7, 8, ko, uo, nas: 1.5 .001 .05 2.5 100 2 10 The program outputs ==> Bull Kelp and Purple Urchin Population Simulator <== - Model Parameters Kelp growth rate: Kelp death rate: Urchin birth rate: Urchin death rate: Initial Population Kelp population (in thousands) at t = 0: Urchin population (in thousands) at t = 0: - Simulation --- Timescale: Time t = 0: 100.000k kelp, 2.000k urchins Time t = 1: 249.800k kelp, 7.000k urchins Time t = 2: Time t = 3: Time t = 4: Time t = 5: --- 622.751k kelp, 76.930k urchins 1508.970k kelp, 2280.018k urchins 331.946k kelp, 168603.957k urchins 0.000k kelp, 2545463.659k urchins 0.000k kelp, 0.000k urchins Time t = 6: Time t = 7: 0.000k kelp, 0.000k urchins Time t = 8: 0.000k kelp, 0.000k urchins Time t = 9: 0.000k kelp, 0.000k urchins Time t = 10: 0.000k kelp, 0.000k urchins --- Simulation Statistics Average kelp population: 255.770k Average urchin population: 246948.506k --- Min kelp population was 0.000k at t=5.000 Max urchin population was 2545463.659k at t-5.000
Expert Solution
Step 1

Your Python program is given below as you required with an output.

Explanation :

The program first asks the user for the model parameters: kelp growth rate, kelp death rate, urchin birth rate, and urchin death rate. It then asks for the initial kelp and urchin populations.

The simulation then begins, and the program simulates the population dynamics

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