Consider two lists A and B such that A returns [1,3,5] and B returns [1,3,5]. 1. Create A and B so A is B returns True. 2. Create A and B so A is B returns False.

Database System Concepts
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ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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### Understanding List Comparison in Python

Consider two lists `A` and `B` such that `A` returns `[1, 3, 5]` and `B` returns `[1, 3, 5]`.

1. **Objective 1:** Create `A` and `B` so `A is B` returns `True`.

2. **Objective 2:** Create `A` and `B` so `A is B` returns `False`.

The `is` keyword in Python checks for object identity, meaning both variables point to the same object in memory. To achieve the first objective, both `A` and `B` must reference the same list object. For the second objective, `A` and `B` should point to different objects, even if the contents are the same.
Transcribed Image Text:### Understanding List Comparison in Python Consider two lists `A` and `B` such that `A` returns `[1, 3, 5]` and `B` returns `[1, 3, 5]`. 1. **Objective 1:** Create `A` and `B` so `A is B` returns `True`. 2. **Objective 2:** Create `A` and `B` so `A is B` returns `False`. The `is` keyword in Python checks for object identity, meaning both variables point to the same object in memory. To achieve the first objective, both `A` and `B` must reference the same list object. For the second objective, `A` and `B` should point to different objects, even if the contents are the same.
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