For Checkpoint C 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, • 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 punctu need to match the sample output EXACTLY for this project. Ex 1 Sample Input/Output Given inputs xx, 8, 7, 6, ko, uo, nas: 1.5 .001 .05 2.5 100 2 10 The program outputs

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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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
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
Transcribed Image Text: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
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