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utils.py
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utils.py
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# Sources:
# https://github.com/erichowens/SudokuSolver/blob/master/sudoku.py
# http://stackoverflow.com/questions/17605898/sudoku-checker-in-python
def print_sudoku_puzzle(data_grid):
def notzero(s):
if s != 0:
return str(s)
if s == 0:
return "'"
output = ""
for i, row in enumerate(data_grid):
if i % 3 == 0:
output += "="*25+'\n'
for j, value in enumerate(row):
if j % 3 == 0:
output += "| "
output += notzero(value) + " "
output += "|\n"
output += "="*25+'\n'
print output
def validate_sudoku_solution(data_grid):
"""
Here we should check all the requirements needed for a valid sudoku sln
We should talk abou this in our report (what conditions are needed to be
met for a 9 by 9 data grid to be a valid sudoku solution)
"""
def check_block(data_grid, k):
"""
Get data indices for kth block of puzzle.
"""
row_offset = (k % 3) * 3
col_offset = (k // 3) * 3
block_data = [
data_grid[row_offset+i][col_offset+j] for i in range(3) for
j in range(3)
]
return sorted(list(set(block_data))) != sorted(block_data)
# check the rows
for row in data_grid:
if sorted(list(set(row))) != sorted(row):
return False
# check the cols
cols = []
for col in range(len(data_grid)):
for row in data_grid:
cols += [row[col]]
# set will get unique values, its converted to list so you can compare
# it's sorted so the comparison is done correctly.
if sorted(list(set(cols))) != sorted(cols):
return False
cols = []
# check the blocks
for num in range(len(data_grid)):
check_block(data_grid, num)
# if you get past all the false checks return True
return True