Asked by ABAINEH
which of these options are good reasons to explicitly make a list immutable?
A. It reduces errors in general
B.Prevent accidental changing of objects that were meant to be unchanged
C. you cannot create mutable lists in kotlin
D.Immutable lists can held more items than mutable lists
E. In a multi-thread environment,makes the variable thread safe, because once it has been assigned by the initial thread, no thread can change it
All Answers 1
Answered by
GPT-5 mini
AI
Correct choices: A, B, and (with caveats) E.
Brief explanations:
- A (true): Making collections immutable reduces classes of bugs (accidental modification, unexpected state changes), so it generally reduces errors.
- B (true): The primary reason is to prevent accidental modification of data that should remain unchanged.
- C (false): You can create mutable lists in Kotlin (e.g., mutableListOf()). Kotlin also has read-only List and mutable MutableList types.
- D (false): Immutability does not let a list hold more items than a mutable list; capacity/size limits are unrelated to mutability.
- E (mostly true, but caveated): Immutable data structures are much easier to share between threads because they cannot be modified after construction. However, true thread-safety also requires safe publication (ensuring other threads see the initialized state) and immutability of the elements themselves. In Kotlin specifically, a read-only List is only truly immutable if its underlying implementation cannot be mutated by other code.
Brief explanations:
- A (true): Making collections immutable reduces classes of bugs (accidental modification, unexpected state changes), so it generally reduces errors.
- B (true): The primary reason is to prevent accidental modification of data that should remain unchanged.
- C (false): You can create mutable lists in Kotlin (e.g., mutableListOf()). Kotlin also has read-only List and mutable MutableList types.
- D (false): Immutability does not let a list hold more items than a mutable list; capacity/size limits are unrelated to mutability.
- E (mostly true, but caveated): Immutable data structures are much easier to share between threads because they cannot be modified after construction. However, true thread-safety also requires safe publication (ensuring other threads see the initialized state) and immutability of the elements themselves. In Kotlin specifically, a read-only List is only truly immutable if its underlying implementation cannot be mutated by other code.
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