If not, output only the total amount and the number of donors.<\/li>\n<\/ol>\nStep 3: Code Implementation<\/h3>\n
Now, let’s implement the code in Python based on the algorithm designed above.<\/p>\n
\n \ndef main():\n # Input the number of donors N and the target amount M\n N, M = map(int, input().split())\n \n # Input the list of amounts donated by donors\n donations = list(map(int, input().split()))\n \n # Calculate the total amount of donations\n total_donations = sum(donations)\n \n # Output the result\n print(f\"Total Donations: {total_donations}, Number of Donors: {N}\")\n \n # Compare with the target amount\n if total_donations >= M:\n print(\"Target Achieved\")\n\nif __name__ == \"__main__\":\n main()\n <\/code>\n <\/pre>\nStep 4: Code Explanation<\/h3>\n
The above code performs the following functions:<\/p>\n
\n- On the first line, it inputs the number of donors and the target amount, converting them to integers using the
map<\/code> function.<\/li>\n- On the second line, it inputs and stores the donation amounts from each donor in a list.<\/li>\n
- It uses the
sum()<\/code> function to calculate the total amount of donations and outputs this amount.<\/li>\n- It checks whether the total amount of donations meets or exceeds the target amount and outputs a message based on that check.<\/li>\n<\/ul>\n
Step 5: Performance Review<\/h2>\n
The time complexity of this problem is O(N). Since the maximum number of donors is 100, this level of time complexity can be considered very efficient for coding tests. The space complexity is O(N) as a list is used to store donation amounts.<\/p>\n
Step 6: Example and Test Cases<\/h2>\n
To increase the reliability of the code, various test cases have been prepared:<\/p>\n
Test Case 1<\/h3>\n
Input:<\/p>\n
\n 5 10000\n 3000 4000 2000 5000 1500\n <\/pre>\nOutput:<\/p>\n
\n Total Donations: 15500, Number of Donors: 5\n Target Achieved\n <\/pre>\nTest Case 2<\/h3>\n
Input:<\/p>\n
\n 3 20000\n 5000 6000 7000\n <\/pre>\nOutput:<\/p>\n
\n Total Donations: 18000, Number of Donors: 3\n <\/pre>\nThrough these various test cases, we can verify that the code works without issues.<\/p>\n
Conclusion<\/h2>\n
In this course, we systematically examined the process of solving a Python algorithm problem with the theme of helping the underprivileged. I would like to emphasize the importance of accurately understanding the problem and progressively building the algorithm to solve it. This process is useful not only for coding tests but also in real development environments.<\/p>\n
I hope you will continue to build your skills through various algorithm problems and develop your problem-solving abilities. Thank you.<\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
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