import numpy as np
"""
Demonstrates NumPy broadcasting rules with arrays of different shapes.
Examples included:
- Adding a (2, 3) array to a (1, 3) array using broadcasting.
- Adding a (2, 3) array to a (3,) array using broadcasting.
- Adding a scalar to a (2, 3) array using broadcasting.
Prints the shapes of the arrays and the results of the element-wise additions.
"""
array_1 = np.array([[1, 2, 3], [4, 5, 6]])
print(array_1.shape)
# Creating a 2D array with 1 row
array_2 = np.array([[11, 12, 13]])
print(array_2.shape)
# Broadcasting and element-wise addition
result = array_1 + array_2
print(result)


array_1 = np.array([[1, 2, 3], [4, 5, 6]])
print(array_1.shape)
# Creating a 1D array
array_2 = np.array([11, 12, 13])
print(array_2.shape)
# Broadcasting and element-wise addition
result = array_1 + array_2
print(result)


array = np.array([[1, 2, 3], [4, 5, 6]])
print(array.shape)
# Broadcasting and element-wise addition
result = array + 10
print(result)