我仍然是Python的新手,所以如果有任何不好的话,请容忍我糟糕的语法和逻辑。无论如何,我有一个功能,我正在努力干净(请不要花哨的动作)突破一个递归循环。它是程序中的一个函数,它递归迭代1和0(参见下面的输入文件),并将相邻的0标识为不同的子集。我有一个名为“checkAllInOneDirection”的递归函数,它将遍历每个位置,向右,向左,向上,向下位置检查0。 (对于每次递归,它在每个方向上只有一个深度/更远)。
问题是由于某种原因,第三组的输出应该只检测0,9和0,10作为一个不同的集合,但是当它在第二组检测后突破了递归时,它拾取[0,4]和[1,3]在第三组检查开始时......有什么帮助吗?
这是输出[row,column]:
Distinct subset found : [[0, 0]]
Distinct subset found : [[0, 3], [0, 4], [1, 3], [0, 5], [1, 4], [1, 5]]
Distinct subset found : [[0, 9], [0, 4], [1, 3], [0, 10]]
正确的第三个子集应该只是:
Distinct subset found : [[0, 9], [0, 10]]
这是一个示例输入文件:
01100011100100000
11100011111111011
10011111101011011
这是函数的片段,它叫做“checkAllInOneDirection”:
isItLast = checkLast(forBoo, bakBoo, upBoo, dwnBoo)
if isItLast:
for each in tempCatch:
if not each in finalCatch:
finalCatch.append(each)
tempCatch=[]
for each in newCatch:
if not each in finalCatch:
finalCatch.append(each)
newCatch=[]
return finalCatch, newCatch, columnCount, rowCount, width, height, posToCheck, forBoo, bakBoo, upBoo, dwnBoo
else:
for each in tempCatch:
if not each in finalCatch:
finalCatch.append(each)
tempCatch =[]
for each in newCatch:
if not each in finalCatch:
finalCatch.append(each)
tempCatch.append(each)
newCatch = []
return checkAllInOneDirection(finalCatch,tempCatch,recursiveCount,newCatch, columnCount, rowCount, width, height, posToCheck, forBoo, bakBoo, upBoo, dwnBoo)
这是整个功能,希望它只是澄清不要让我的问题更加混乱:
def checkAllInOneDirection(finalCatch,tempCatch,recursiveCount,newCatch, columnCount, rowCount, width, height, posToCheck, forBoo, bakBoo, upBoo, dwnBoo):
for each in range (0, len(tempCatch)):
posToCheck = posToCheckBak = posToCheckUp = posToCheckDwn = [tempCatch[each][0], tempCatch[each][1]]
newPosForward = checkForward(posToCheck, width)
if newPosForward != False:
tempLocale = locale[newPosForward[0]][newPosForward[1]]
elif newPosForward == False:
tempLocale = 1
if newPosForward != False and tempLocale ==0 and not newPosForward in finalCatch and not newPosForward in newCatch:
forVal = locale[newPosForward[0]][newPosForward[1]]
newCatch.append(newPosForward)
posToCheck = newPosForward
forBoo = True
elif newPosForward == False and tempLocale == 1 and not newPosForward in newCatch:
forBoo = False
newPosBackward = checkBackward(posToCheckBak)
if newPosBackward != False:
tempLocale = locale[newPosBackward[0]][newPosBackward[1]]
elif newPosBackward == False:
tempLocale = 1
if newPosBackward != False and tempLocale ==0 and not newPosBackward in finalCatch and not newPosBackward in newCatch:
forVal = locale[newPosBackward[0]][newPosBackward[1]]
newCatch.append(newPosBackward)
posToCheckBak = newPosBackward
bakBoo = True
elif newPosBackward == False and tempLocale == 1 and not newPosBackward in newCatch:
bakBoo = False
newPosUp = checkUpRow(posToCheckUp)
if newPosUp != False:
tempLocale = locale[newPosUp[0]][newPosUp[1]]
elif newPosUp == False:
tempLocale = 1
if newPosUp != False and tempLocale ==0 and not newPosUp in finalCatch and not newPosUp in newCatch:
forVal = locale[newPosUp[0]][newPosUp[1]]
newCatch.append(newPosUp)
posToCheckUp = newPosUp
upBoo = True
elif newPosUp == False and tempLocale == 1 and not newPosUp in newCatch:
upBoo = False
newPosDwn = checkDwnRow(posToCheckDwn, height)
if newPosDwn != False:
tempLocale = locale[newPosDwn[0]][newPosDwn[1]]
elif newPosDwn == False:
tempLocale = 1
if newPosDwn != False and tempLocale ==0 and not newPosDwn in finalCatch and not newPosDwn in newCatch:
forVal = locale[newPosDwn[0]][newPosDwn[1]]
newCatch.append(newPosDwn)
posToCheckDwn = newPosDwn
dwnBoo = True
elif newPosDwn == False and tempLocale == 1 and not newPosDwn in newCatch:
dwnBoo = False
isItLast = checkLast(forBoo, bakBoo, upBoo, dwnBoo)
if isItLast:
for each in tempCatch:
if not each in finalCatch:
finalCatch.append(each)
tempCatch=[]
for each in newCatch:
if not each in finalCatch:
finalCatch.append(each)
newCatch=[]
return finalCatch, newCatch, columnCount, rowCount, width, height, posToCheck, forBoo, bakBoo, upBoo, dwnBoo
else:
for each in tempCatch:
if not each in finalCatch:
finalCatch.append(each)
tempCatch =[]
for each in newCatch:
if not each in finalCatch:
finalCatch.append(each)
tempCatch.append(each)
newCatch = []
return checkAllInOneDirection(finalCatch,tempCatch,recursiveCount,newCatch, columnCount, rowCount, width, height, posToCheck, forBoo, bakBoo, upBoo, dwnBoo)
答案 0 :(得分:3)
使用递归时,你真的不应该使用“loop”和“break”之类的短语。相反,将问题视为由基本情况下变得微不足道的类似子问题组成。
您的一般问题是查找其他0
旁边的0
。 (顺便说一句,这称为4-direction flood fill。)因此,较大的问题具有相同的子问题;所有连接的0
的列表与以下组合相同:
0
0
0
的列表
0
0
的列表
0
0
的列表
0
0
的列表
所以在你的递归函数的某个地方,你会得到一些效果:
return [[y,x]] + getConnectedZeros(x+1, y) + getConnectedZeros(x-1, y) + getConnectedZeros(x, y+1) + getConnectedZeros(x, y-1)
知道了这一点,你需要考虑你的基本案例,getConnectedZeros()
必须返回不同于其子问题解决方案组合的案例。对我来说,基本情况是:
1
0
上调用该函数时对于这两种情况,只返回一个空列表就可以了,因为当返回[]
时,它代替了更多的递归调用。如果没有包含这些条件,则递归将永远运行,并且永远不会 break 命中基本情况。
基于这些想法,以下是您的问题的解决方案:
sampleInput = "01100011100100000\n11100011111111011\n10011111101011011"
inputMatrix = [[int(n) for n in row] for row in sampleInput.split('\n')] #matrix where each row is a list of the numbers from sampleInput
def getConnectedZeros(matrix, x, y, foundIndicies=[]):
if 0<=y<len(matrix) and 0<=x<len(matrix[y]): #catch out of bounds
if matrix[y][x] == 1: #catch 1s
return []
else:
if not (x,y) in foundIndicies: #catch 0's we've already "seen"
foundIndicies.append((x,y))
return [[y,x]] + getConnectedZeros(matrix, x+1, y, foundIndicies) + getConnectedZeros(matrix, x-1, y, foundIndicies) + getConnectedZeros(matrix, x, y+1, foundIndicies) + getConnectedZeros(matrix, x, y-1, foundIndicies)
else:
return []
else:
return []
#Now we can just loop through the inputMatrix and find all of the subsets
foundZeroIndicies = []
subsets = []
y = -1
for row in inputMatrix:
y += 1
x = -1
for val in row:
x += 1
if (not [y,x] in foundZeroIndicies) and val==0:
zerosList = getConnectedZeros(inputMatrix, x, y)
subsets.append(zerosList)
foundZeroIndicies.extend(zerosList)
for subset in subsets:
print "Distinct Subset Found : ", subset
希望有所帮助。 (希望它是连贯的,现在是凌晨5点......)
答案 1 :(得分:2)
我的代码是使用递归函数walk()的示例。我希望它可以帮助你解决问题。
input = ['01100011100100000',
'11100011111111011',
'10011111101011011']
col_len = 17
row_len = 3
walked = []
output = []
def walk(subset_in, row, col):
if (0 <= row < row_len) and (0 <= col < col_len) and (row, col) not in walked:
walked.append((row, col))
if input[row][col] == '0':
if subset_in is not None:
subset = subset_in
else:
subset = []
subset.append((row, col))
walk(subset, row, col+1)
walk(subset, row+1, col)
walk(subset, row, col-1)
walk(subset, row-1, col)
if subset_in is None:
output.append(subset)
for row in xrange(row_len):
for col in xrange(col_len):
if (row, col) not in walked:
walk(None, row, col)
for subset in output: print subset
答案 2 :(得分:1)
要打破递归,你需要使用return。如果你的递归继续进行,你需要重新考虑你的基本情况。
为了好玩,我尝试使用networkx,而不是它回答了你的问题:
data = """01100011100100000
11100011111111011
10011111101011011""".splitlines()
import networkx
G = networkx.Graph()
found = set()
for i, row in enumerate(data):
for j, c in enumerate(row):
if c == '0':
found.add((i, j))
if i + 1 < len(data) and data[i + 1][j] == '0':
G.add_edge((i, j), (i + 1, j))
if j + 1 < len(row) and row[j + 1] == '0':
G.add_edge((i, j), (i, j + 1))
groups = map(list, networkx.connected_component_subgraphs(G))
group_nodes = set(node for group in groups for node in group)
individuals = found - group_nodes
print groups
print individuals
"""
[[(0, 15), (0, 14), (1, 14), (0, 13), (0, 12), (0, 16), (2, 14)], [(1, 3), (1, 4), (1, 5), (0, 5), (0, 4), (0, 3)], [(2, 1), (2, 2)], [(0, 9), (0, 10)]]
set([(0, 0), (2, 11), (2, 9)])
"""