Solution:Step 1: Recall Python integer caching limitsPython caches integers from -5 to 256. Numbers outside this range are different objects even if values match.Step 2: Understand difference between 'is' and '=='is checks object identity, == checks value equality.Final Answer:Because integers above

[Solved] Given this code:def check_identity(a, b): return a is b x = 1000 y = 1000 print(check_identity(x, y))Why might the output be False even though x == y is True? | Python

Python - Operators and Expression Evaluation

Given this code:

def check_identity(a, b):
    return a is b

x = 1000
y = 1000
print(check_identity(x, y))

Why might the output be False even though x == y is True?

ABecause function returns wrong result

BBecause 'is' compares values, not objects

CBecause variables x and y are assigned incorrectly

DBecause integers above 256 are not cached and are different objects

Step-by-Step Solution

Solution:

Step 1: Recall Python integer caching limits
Python caches integers from -5 to 256. Numbers outside this range are different objects even if values match.
Step 2: Understand difference between 'is' and '=='
is checks object identity, == checks value equality.
Final Answer:
Because integers above 256 are not cached and are different objects -> Option D
Quick Check:
Large ints not cached, so 'is' is False [OK]

Quick Trick: Large integers are different objects despite equal values [OK]

Common Mistakes:

MISTAKES

Thinking 'is' compares values
Assuming all integers are cached
Believing function returns wrong result

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Given this code:

Step 1: Recall Python integer caching limits

Step 2: Understand difference between 'is' and '=='

Final Answer:

Quick Check:

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