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solution.py
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solution.py
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assignments = []
rows = 'ABCDEFGHI'
cols = '123456789'
def assign_value(values, box, value):
"""
Please use this function to update your values dictionary!
Assigns a value to a given box. If it updates the board record it.
"""
values[box] = value
if len(value) == 1:
assignments.append(values.copy())
return values
def cross(A, B):
"Cross product of elements in A and elements in B."
return [s+t for s in A for t in B]
boxes = cross(rows, cols)
row_units = [cross(r, cols) for r in rows]
column_units = [cross(rows, c) for c in cols]
square_units = [cross(rs, cs) for rs in ('ABC', 'DEF', 'GHI') for cs in ('123', '456', '789')]
diag_units = [[rows[i]+cols[i] for i in range(0,9)], [rows[i]+cols[8-i] for i in range(0,9)]]
print(diag_units)
unitlist = row_units + column_units + square_units+diag_units
units = dict((s, [u for u in unitlist if s in u]) for s in boxes)
peers = dict((s, set(sum(units[s], []))-set([s])) for s in boxes)
def grid_values(grid):
"""
Convert grid into a dict of {square: char} with '123456789' for empties.
Args:
grid(string) - A grid in string form.
Returns:
A grid in dictionary form
Keys: The boxes, e.g., 'A1'
Values: The value in each box, e.g., '8'. If the box has no value, then the value will be '123456789'.
"""
return {boxes[i]:cols if grid[i]=='.' else grid[i] for i in range(0,81)}
def display(values):
"""
Display the values as a 2-D grid.
Args:
values(dict): The sudoku in dictionary form
"""
width = 1+max(len(values[s]) for s in boxes)
line = '+'.join(['-'*(width*3)]*3)
for r in rows:
print(''.join(values[r+c].center(width)+('|' if c in '36' else '') for c in cols))
if r in 'CF': print(line)
print
def eliminate(values):
"""
Go through all the boxes, and whenever there is a box with a value, eliminate this value from the values of all its peers.
Input: A sudoku in dictionary form.
Output: The resulting sudoku in dictionary form.
"""
solved_values = [box for box in values.keys() if len(values[box]) == 1]
for box in solved_values:
digit = values[box]
for peer in peers[box]:
values = assign_value(values, peer, values[peer].replace(digit,''))
return values
def only_choice(values):
"""
Go through all the units, and whenever there is a unit with a value that only fits in one box, assign the value to this box.
Input: A sudoku in dictionary form.
Output: The resulting sudoku in dictionary form.
"""
for unit in unitlist:
for digit in cols:
dplaces = [box for box in unit if digit in values[box]]
if len(dplaces) == 1:
values = assign_value(values, dplaces[0], digit)
return values
def naked_twins(values):
"""Eliminate values using the naked twins strategy.
Args:
values(dict): a dictionary of the form {'box_name': '123456789', ...}
Returns:
the values dictionary with the naked twins eliminated from peers.
"""
# Find all instances of naked twins
# Eliminate the naked twins as possibilities for their peers
# Go through each unit
for unit in unitlist:
# sort boxes in a unit by their values
# all naked twins should be adjacent in the sorted list
sorted_unit = sorted(unit, key=lambda box: values[box])
prev_value = None
for box in sorted_unit:
value = values[box]
# compare to the previous value, if length = 2 and identical, we found the naked twins
if len(value) == 2 and value == prev_value:
# remove the naked twins from all other boxes in the unit
table = str.maketrans('', '', value)
for rbox in unit:
if values[rbox] != value:
values = assign_value(values, rbox, values[rbox].translate(table))
prev_value = value
return values
def cross(A, B):
"Cross product of elements in A and elements in B."
return [s+t for s in A for t in B]
def reduce_puzzle(values):
"""
Iterate through different reduction methods.
If at some point, there is a box with no available values, return False.
If the sudoku is solved, return the sudoku.
If after a single iteration, the sudoku remains the same, return the sudoku.
Input: A sudoku in dictionary form.
Output: The resulting sudoku in dictionary form.
"""
solved_values = [box for box in values.keys() if len(values[box]) == 1]
stalled = False
while not stalled:
solved_values_before = len([box for box in values.keys() if len(values[box]) == 1])
values = eliminate(values)
values = only_choice(values)
values = naked_twins(values)
solved_values_after = len([box for box in values.keys() if len(values[box]) == 1])
stalled = solved_values_before == solved_values_after
if len([box for box in values.keys() if len(values[box]) == 0]):
return False
return values
def search(values):
"Using depth-first search and propagation, try all possible values."
# First, reduce the puzzle
values = reduce_puzzle(values)
if values is False:
return False ## Failed earlier
if all(len(values[s]) == 1 for s in boxes):
return values ## Solved!
# Choose one of the unfilled squares with the fewest possibilities
n,s = min((len(values[s]), s) for s in boxes if len(values[s]) > 1)
# Now use recurrence to solve each one of the resulting sudokus
for value in values[s]:
new_sudoku = values.copy()
new_sudoku[s] = value
attempt = search(new_sudoku)
if attempt:
assign_value(values, s, value)
return attempt
def solve(grid):
"""
Find the solution to a Sudoku grid.
Args:
grid(string): a string representing a sudoku grid.
Example: '2.............62....1....7...6..8...3...9...7...6..4...4....8....52.............3'
Returns:
The dictionary representation of the final sudoku grid. False if no solution exists.
"""
values = grid_values(grid)
for box in values:
assign_value(values, box, values[box])
return search(values)
if __name__ == '__main__':
diag_sudoku_grid = '2.............62....1....7...6..8...3...9...7...6..4...4....8....52.............3'
display(solve(diag_sudoku_grid))
try:
from visualize import visualize_assignments
visualize_assignments(assignments)
except SystemExit:
pass
except:
print('We could not visualize your board due to a pygame issue. Not a problem! It is not a requirement.')