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Create Integer Array with Zeros and Ones – Detailed Version #Python #HackerRank #NumPy

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In this problem, you are given a shape for an array as space-separated integers, where each integer represents the size of a dimension. Your task is to create two arrays of the given shape with integer type using NumPy:
Step-by-Step Explanation:
Input Handling (#InputHandling, #DataProcessing):
The first (and only) line of input contains space-separated integers. These integers specify the dimensions of the array. For example, an input of "3 3 3" indicates a 3×3×3 array.
We use input().split() to read the input and then convert each element to an integer using map(int, ...).
We convert the resulting map object into a tuple that represents the shape.
Array Creation with NumPy (#NumPy, #ArrayCreation):
Zeros Array:
Ones Array:
Output (#OutputFormatting):
The resulting arrays are printed on separate lines. The first printed array is the zeros array, and the second printed array is the ones array.
The output format should match the required format exactly.
This solution leverages NumPy’s efficient array creation functions and is ideal for scenarios in scientific computing, data analysis, and coding challenges.
Code (Detailed Version):
import numpy as np
def solve():
# Read the shape of the array as a tuple of integers
shape = tuple(map(int, input().split()))
# Create an array of the given shape filled with zeros (integer type)
# Create an array of the given shape filled with ones (integer type)
# Print the arrays in the required order
print(zeros_array)
print(ones_array)
if __name__ == '__main__':
solve()
Step-by-Step Explanation:
Input Handling (#InputHandling, #DataProcessing):
The first (and only) line of input contains space-separated integers. These integers specify the dimensions of the array. For example, an input of "3 3 3" indicates a 3×3×3 array.
We use input().split() to read the input and then convert each element to an integer using map(int, ...).
We convert the resulting map object into a tuple that represents the shape.
Array Creation with NumPy (#NumPy, #ArrayCreation):
Zeros Array:
Ones Array:
Output (#OutputFormatting):
The resulting arrays are printed on separate lines. The first printed array is the zeros array, and the second printed array is the ones array.
The output format should match the required format exactly.
This solution leverages NumPy’s efficient array creation functions and is ideal for scenarios in scientific computing, data analysis, and coding challenges.
Code (Detailed Version):
import numpy as np
def solve():
# Read the shape of the array as a tuple of integers
shape = tuple(map(int, input().split()))
# Create an array of the given shape filled with zeros (integer type)
# Create an array of the given shape filled with ones (integer type)
# Print the arrays in the required order
print(zeros_array)
print(ones_array)
if __name__ == '__main__':
solve()