Pretty clean problem once you strip it down.
Clarify the data model for card costs and inventory, then iterate over each color to check if the player has enough gems. Handle edge cases like missing colors and ensure the solution is efficient.
Pro tip: Mention that you would use a hash map for O(1) lookups and discuss how to extend the solution if the game allows substituting gems or has wildcards.
Ask questions to confirm the data structures: are costs and inventory represented as maps from color to integer? Are there any special rules like wildcards?
Iterate through each color in the card's cost. For each color, check if the player's inventory has at least that many gems.
Consider cases where the card has no cost, the inventory is empty, or a color is missing from the inventory (treat as zero).
State that the time complexity is O(n) where n is the number of colors, and space complexity is O(1) beyond the input.
Mention how to adapt the solution if the game allows gem substitution or if costs are represented as a list of pairs.
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