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Quick Summary
Find all unique combinations of menu entries that cover every item in the desired order.
Minimize the total cost across these combinations while tolerating minor floating-point differences.
Return an empty list if the desired items cannot be fully covered.
What This Tests
Set cover optimization with exhaustive search
State-space pruning and memoization techniques
Combinatorial result tracking and deduplication
Floating-point tolerance handling
Common Patterns
DFS/BFS
Backtracking
Dynamic Programming
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Python3
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Input
menu =
userWants =
Output
Expected
