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| from collections import defaultdict | |
| class Solution: | |
| def __init__(self, columns): | |
| # create columns in dict of dict | |
| self.columns = columns | |
| self.data = defaultdict(dict) | |
| for column in self.columns: | |
| self.data[column][0] = 0 | |
| def set(self, row, column, value): | |
| self.data[column][row] = value # O(1) runtime | |
| def get(self, row, column): | |
| if column not in self.data or row not in self.data[column]: | |
| return 0 | |
| return self.data[column][row] # O(1) runtime | |
| def printFirstNLine(self, n): | |
| colRes = "" | |
| for column in self.columns: # O(m) | |
| colRes += column | |
| colRes += " " | |
| print(colRes) | |
| i = 0 | |
| while i < n: # O(n) | |
| rowRes = "" | |
| for column in self.columns: # O(m) | |
| val = self.data[column].get(i, 0) | |
| rowRes += str(val) | |
| rowRes += " " | |
| print(rowRes) | |
| i += 1 | |
| # Time complexity analysis | |
| # initilizing class: O(m) runtime, O(mk) space where k is the amount of .set() being called as self.data grow | |
| # set() method: O(1) runtime, O(1) space | |
| # get() method: O(1) runtime, O(1) space | |
| # printFirstNLine() method: O(mn) runtime, O(1) space if we are not considering printed result as part of extra space | |
| spreadSheet = Solution(["fips", "pops", "area"]) | |
| spreadSheet.set(0, "fips", 1001) | |
| spreadSheet.set(0, "pops", 20000) | |
| spreadSheet.set(0, "area", 456) | |
| spreadSheet.set(5, "fips", 1002) | |
| assert spreadSheet.get(0, "fips") == 1001 | |
| assert spreadSheet.get(0, "pops") == 20000 | |
| assert spreadSheet.get(1, "area") == 0 | |
| assert spreadSheet.get(5, "area") == 0 | |
| print(spreadSheet.printFirstNLine(9)) |
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