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The command pipe the output through sed to remove the quotes, if you don’t want them.
Q:
Binary Indexed Searching
I had an interview the other day where we talked about binary indexed searching and I was given the following example, but wasn’t able to think of a solution to it.
Example
Given a grid of boxes. The boxes are both numbered and color coded. Some boxes have weights in them and some boxes just hold things. A box can be moved to a new location and then the weights will need to be moved and then the box can be moved back to a different location. The weights in each box is at most 10. We want to search through the grid for a box that has the same color and box number as an item we are looking for, then if the weights match, we want to search through the grid and the closest box we find to what we are looking for.
What I thought
I thought of using some sort of binary search with a series of if else statements, where the binary search will recursively check for a box that has the same color and number as the item we are looking for. Will this work?
If not, what will be the correct way to do this?
A:
We’ll assume that the boxes can be matched to items in O(1) time. I wrote some python to test it. The solution will be O(log N) where N is the number of boxes on the grid.
def find(item, boxes):
# Sort boxes by order of box number (ascending)
boxes.sort(key=lambda x: boxes.index(x))
# Initialize column index
column = None
# Initialize row index
row = None
# Iterate over boxes
for box in boxes:
# Go to first row
if row!= None:
for col in
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