[Solved] Find the mistake in this code regarding type promotion:import numpy as np arr1 = np.array([1, 2, 3], dtype=np.uint8) arr2 = np.array([1.5, 2.5, 3.5], dtype=np.... | NumPy

NumPy - Array Operations

Find the mistake in this code regarding type promotion:

import numpy as np
arr1 = np.array([1, 2, 3], dtype=np.uint8)
arr2 = np.array([1.5, 2.5, 3.5], dtype=np.float64)
result = arr1 * arr2
print(result.dtype)

ANo mistake, dtype is float64

BMultiplication causes integer overflow

CResult dtype is uint8, which is incorrect

DOperation causes a TypeError

Step-by-Step Solution

Solution:

Step 1: Identify input dtypes
arr1 is uint8, arr2 is float64.
Step 2: Apply type promotion rules
uint8 and float64 promote to float64 safely.
Final Answer:
No mistake, dtype is float64 -> Option A
Quick Check:
uint8 * float64 = float64 [OK]

Quick Trick: Unsigned int with float promotes to float64 [OK]

Common Mistakes:

Expecting overflow error
Assuming result stays uint8
Thinking operation raises TypeError

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More NumPy Quizzes

Find the mistake in this code regarding type promotion:

Step 1: Identify input dtypes

Step 2: Apply type promotion rules

Final Answer:

Quick Check:

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