Thread-Safe Function Design | Dataford Interview Questions

Write a function to handle X while maintaining thread safety. Interpret X as applying a batch of add and get operations to a shared counter dictionary, with the entire batch executed atomically and results returned in order. The function must use synchronization so concurrent calls cannot observe partial batches; input is state = {"value": int} and operations = [{"type": "add", "amount": int} | {"type": "get"}], and examples are [{"type": "add", "amount": 3}, {"type": "get"}] returning [3, 3]; support 0 to 1,000 operations and arbitrary Python integers.

Constraints

state contains an integer field named "value"
Each operation has type "add" or "get"
An add operation contains an integer field named "amount"
0 <= len(operations) <= 1,000
The same state dictionary may be passed to handle_x concurrently from multiple threads
The complete batch must be linearizable

Function Signature

def handle_x(state, operations):

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Problem

Constraints

state contains an integer field named "value"
Each operation has type "add" or "get"
An add operation contains an integer field named "amount"
0 <= len(operations) <= 1,000
The same state dictionary may be passed to handle_x concurrently from multiple threads
The complete batch must be linearizable

Function Signature

def handle_x(state, operations):

Your question is Thread-Safe Function Design. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.