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58 changes: 48 additions & 10 deletions hash_practice/exercises.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,18 +2,43 @@
def grouped_anagrams(strings):
""" This method will return an array of arrays.
Each subarray will have strings which are anagrams of each other
Time Complexity: ?
Space Complexity: ?
Time Complexity: O(n)
Space Complexity: O(n)
"""
pass
hash_table = {}
for str in strings:
key = ''.join(sorted(str))
if key in hash_table.keys():
hash_table[key].append(str)
else:
hash_table[key] = []
hash_table[key].append(str)

result = []
for key, value in hash_table.items():
result.append(value)
return result


def top_k_frequent_elements(nums, k):
""" This method will return the k most common elements
In the case of a tie it will select the first occuring element.
Time Complexity: ?
Space Complexity: ?
Time Complexity: O(n)

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Don't forget to account for the call to sorted on line 37, which will take O(n * log(n)) time and thus dominate the O(n) parts of the algorithm. Thus, the correct time complexity here is O(n * log(n)).

Space Complexity: O(n)
"""
pass
frequency = {}
for num in nums:
if num not in frequency:
frequency[num] = 1
else:
frequency[num] = frequency[num] + 1

frequency = dict(
sorted(frequency.items(), key=lambda x: x[1], reverse=True))

result = list(frequency.keys())[:k]

return result


def valid_sudoku(table):
Expand All @@ -22,8 +47,21 @@ def valid_sudoku(table):
Each element can either be a ".", or a digit 1-9
The same digit cannot appear twice or more in the same
row, column or 3x3 subgrid
Time Complexity: ?
Space Complexity: ?
Time Complexity: O(n^2)
Space Complexity: O(n)

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These would be accurate answers if we allowed arbitrary boards of nxn (well, actually the space complexity would be O(n^2) too), but since we only accept 3x3 boards, the time and space used will be constant and we can instead say it is O(1) in both time and space.

"""
pass

seen = set()
for i in range(9):
for j in range(9):
number = str(table[i][j])
if number != '.':
row = number + 'in row' + str(i)
col = number + 'in col' + str(j)
# // for integer
block = number + 'in block' + str(i//3) + str(j//3)
if row in seen or col in seen or block in seen:
return False
seen.add(row)
seen.add(col)
seen.add(block)
return True