For Checkpoint O you will extend Checkpoint B to do the following: 1. Track and then output a summary report that features o the average kelp population across the simulated timescale, o the average urchin population across the simulated timescale, o the minimum kelp population observed during the simulation, o the maximum urchin population observed during the simulation. Hint: your program will employ the min-finding and max-finding patterns we learned in class with for-loops. Sample Output Sample input/output behavior for the checkpoint are provided below. Your program's spacing, spelling, capitalization, and punctuation will need to match the sample output EXACTLY for this project. Ex 1 Sample Input/Output Given inputs a, 6, 7, 8, ko, uo, n as: 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 = 1: 249.800k kelp, 7.000k urchins Time = 2: 622.751k kelp, 76.930k urchins Time = 3: 1508.970k kelp, 2280.018k urchins Time t = 4: 331.946k kelp, 168603.957k urchins Time = 5: Time t = 6: Time t = 7: 0.000k kelp, 2545463.659k urchins 0.000k kelp, 0.000k urchins 0.000k kelp, 0.000k urchins Time t = 8: 0.000k kelp, 0.000k urchins Time = 9: 0.000k kelp, 0.000k urchins Time = 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

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

I need help figuring out what i need to include in my code for the Simulation Statistics part?

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

For Checkpoint C you will extend Checkpoint B to do the following:
1. Track and then output a summary report that features
0 the average kelp population across the simulated timescale,
o the average urchin population across the simulated timescale,
o the minimum kelp population observed during the simulation,
o the maximum urchin population observed during the simulation.
Hint: your program will employ the min-finding and max-finding patterns we learned in class with for-loops.
Sample Output
Sample input/output behavior for the checkpoint are provided below. Your program's spacing, spelling, capitalization, and punctuation will
need to match the sample output EXACTLY for this project.
Ex 1 Sample Input/Output
Given inputs xx, 6, 7, 8, ko, uo, n as:
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:
Time t = 4:
Time t = 5:
Time t = 6:
Time t = 7:
1508.970k kelp, 2280.018k urchins
331.946k kelp, 168603.957k urchins
0.000k kelp, 2545463.659k urchins
0.000k kelp, 0.000k urchins
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

The algorithm of the code is as follows:-

Print a welcome message and prompt the user to enter the model parameters: kelp growth rate, kelp death rate, urchin birth rate, and urchin death rate.
Check if the input values are valid (i.e., non-negative), and if not, print an error message and exit the program.
Prompt the user to enter the initial populations of kelp and urchins (k0 and u0, respectively) and store them in the variables k and u.
Print the initial populations of kelp and urchins.
Prompt the user to enter the timescale of the simulation (n) and check if the input value is valid (i.e., non-negative), and if not, print an error message and exit the program.
Initialize variables for tracking the average population of kelp and urchins over time (avgk and avgu, respectively) and the minimum population of kelp and urchins observed during the simulation (mink and minu, respectively).
Loop over the timescale n and at each time step: a. Compute the next populations of kelp and urchins using the Lotka-Volterra equations. b. Update the variables for tracking the average and minimum populations of kelp and urchins. c. Print the current populations of kelp and urchins. d. Update the variables k and u with the computed populations of kelp and urchins.
Print the average and minimum populations of kelp and urchins observed during the simulation.

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