update shortest_distance from all buildings

bfs/shortest_distance_from_all_buildings.py

@@ -0,0 +1,49 @@
+import collections
+
+## do BFS from each building, and decrement all empty place for every building visit
+## when grid[i][j] == -b_nums, it means that grid[i][j] are already visited from all b_nums
+## and use dist to record distances from b_nums
+
+def shortest_distance(grid):
+    """
+    :type grid: List[List[int]]
+    :rtype: int
+    """
+    m = len(grid)
+    n = len(grid[0])
+    if not m or not n:
+        return -1
+
+    dist = [[0] * n] * m
+    b_nums = 0
+    for i in range(m):
+        for j in range(n):
+            if grid[i][j]==1: b_nums+=1
+    b_idx = 0
+    for i in range(m):
+        for j in range(n):
+            if grid[i][j]==1:
+                bfs(grid, dist, i, j, b_idx)
+                b_idx -= 1
+    res = []
+    for i in range(m):
+        for j in range(n):
+            if grid[i][j] + b_nums == 0:
+                res.append(dist[i][j])
+    return min(res) if res else -1
+
+def bfs(grid, dist, i, j, b_idx):
+    m = len(grid)
+    n = len(grid[0])
+    queue = collections.deque([(i, j, 0)])
+    while queue:
+        i, j, d = queue.popleft()
+        for x,y in [(i+1, j), (i-1, j), (i, j-1), (i, j+1)]:
+            if 0<=x<m and 0<=y<n and grid[x][y] == b_idx:
+                dist[x][y] += d+1
+                grid[x][y] -= 1
+                queue.append((x, y, d+1))
+
+
+grid = [[1,0,2,0,1],[0,0,0,0,0],[0,0,1,0,0]]
+print(shortest_distance(grid))

string/word_squares.py

@@ -17,5 +17,5 @@ def build(square):
         build([word])
     return squares
 
-dic = ["at","baba","atan","atal"]
+dic = ["atan","baba","atan","atal"]
 print(word_squares(dic))