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Design a data structure that supports the following operations in O(1) time: get(index: int) -> int: Retrieve the value at the specified index. set(index: int, value: int): Update the value at the specified index. set_all(value: int): Set all elements in the data structure to the specified value. Requirements: The data structure should be initialized with a fixed size, and all elements should initially be set to 0. If set_all is called, subsequent get operations should return the globally set value unless the specific index has been updated after the set_all operation. d = DataStructure(1000) print(d.get(950)) # Output: 0 d.set(930, 5) print(d.get(930)) # Output: 5 d.set_all(8) print(d.get(950)) # Output: 8 print(d.get(930)) # Output: 8 d.set(910, 7) print(d.get(910)) # Output: 7 print(d.get(10)) # Output: 8
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Python Software Engineer

Interviewed at Varonis Systems

4★
May 13, 2025

Design a data structure that supports the following operations in O(1) time: get(index: int) -> int: Retrieve the value at the specified index. set(index: int, value: int): Update the value at the specified index. set_all(value: int): Set all elements in the data structure to the specified value. Requirements: The data structure should be initialized with a fixed size, and all elements should initially be set to 0. If set_all is called, subsequent get operations should return the globally set value unless the specific index has been updated after the set_all operation. d = DataStructure(1000) print(d.get(950)) # Output: 0 d.set(930, 5) print(d.get(930)) # Output: 5 d.set_all(8) print(d.get(950)) # Output: 8 print(d.get(930)) # Output: 8 d.set(910, 7) print(d.get(910)) # Output: 7 print(d.get(10)) # Output: 8

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