Try this exercise. Fill in the missing part by typing it in.

In the dynamic programming solution for the coin change problem, we create an array dp of size amount + 1 and initialize all its values to _____________, except for dp[0] which is set to 0 since we don't need any coins to make zero change.

We then iterate from 1 to amount and for each value i, we iterate through the coins array. If the current coin coin is less than or equal to i, we update dp[i] to be the minimum between its current value and dp[i - coin] + 1. This represents the minimum number of coins needed to make the amount i using the current coin and any previously calculated solutions.

Finally, we return dp[amount], which will be the minimum number of coins needed to make the given amount of change. If dp[amount] is greater than amount, it means that it was not possible to make the amount using the given coins, so we return -1.

Fill in the blank with the correct value for initializing the dp array.