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Sum and Product on a 2D Array – One-Liner Version #Python #HackerRank #OneLiner #NumPy #ArrayOperati

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This solution provides a concise one-liner approach to solve the problem. In one compact code block, it:
Reads the dimensions of the array and the subsequent rows of space-separated integers.
Converts the input into a NumPy array.
Computes the sum of the array along axis 0 (i.e., the sum of each column).
Computes the product of these sums.
Prints the final result.
This one-liner approach leverages the power of NumPy's functions and Python's compact syntax, making it ideal for competitive programming and interview scenarios where brevity and efficiency are key.
Code (One-Liner Version):
import numpy as np
def solve():
if __name__ == '__main__':
solve()
Reads the dimensions of the array and the subsequent rows of space-separated integers.
Converts the input into a NumPy array.
Computes the sum of the array along axis 0 (i.e., the sum of each column).
Computes the product of these sums.
Prints the final result.
This one-liner approach leverages the power of NumPy's functions and Python's compact syntax, making it ideal for competitive programming and interview scenarios where brevity and efficiency are key.
Code (One-Liner Version):
import numpy as np
def solve():
if __name__ == '__main__':
solve()