[Solved] Identify the error in this code snippet:import numpy as np arr = np.array([1000, 2000], dtype='int8') print(arr) | NumPy

NumPy - Array Data Types

Identify the error in this code snippet:

import numpy as np
arr = np.array([1000, 2000], dtype='int8')
print(arr)

ANo error, prints [1000 2000]

BSyntaxError due to dtype

CValueError: integer out of range

DValues overflow and wrap around silently

Step-by-Step Solution

Solution:

Step 1: Check dtype and values
The array uses int8 which can only hold -128 to 127, but values 1000 and 2000 are much larger.
Step 2: Understand numpy overflow behavior
Instead of error, numpy silently wraps values using modulo 256, causing overflow.
Final Answer:
Values overflow and wrap around silently -> Option D
Quick Check:
int8 overflow wraps large values silently [OK]

Quick Trick: Large values in small int types wrap silently, no error [OK]

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