-
Notifications
You must be signed in to change notification settings - Fork 0
/
CyclicSort.py
487 lines (349 loc) · 10.1 KB
/
CyclicSort.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
# Cyclic Sort (easy)
'''
We are given an array containing n objects.
Each object, when created, was assigned a unique number from the range 1 to n based on their creation sequence.
This means that the object with sequence number 3 was created just before the object with sequence number 4.
Write a function to sort the objects in-place on their creation sequence number in
O(n)
and without using any extra space. For simplicity, lets assume we are passed an integer array
containing only the sequence numbers, though each number is actually an object.
Example 1:
Input: [3, 1, 5, 4, 2]
Output: [1, 2, 3, 4, 5]
Example 2:
Input: [2, 6, 4, 3, 1, 5]
Output: [1, 2, 3, 4, 5, 6]
Example 3:
Input: [1, 5, 6, 4, 3, 2]
Output: [1, 2, 3, 4, 5, 6]
'''
def cyclic_sort(nums):
current = 1
for i in range(len(nums)):
nums[i] = current
current +=1
return nums
def main():
print(cyclic_sort([3, 1, 5, 4, 2]))
print(cyclic_sort([2, 6, 4, 3, 1, 5]))
print(cyclic_sort([1, 5, 6, 4, 3, 2]))
main()
# Cyclic Sort ( version 2 - better )
def cyclic_sort2(nums):
i = 0
while i < len(nums):
j = nums[i]
if j != i + 1:
swap(i,nums[i]-1,nums)
else:
i += 1
return nums
def swap(x,y,arr):
arr[x], arr[y] = arr[y], arr[x]
def main():
print(cyclic_sort2([3, 1, 5, 4, 2]))
print(cyclic_sort2([2, 6, 4, 3, 1, 5]))
print(cyclic_sort2([1, 5, 6, 4, 3, 2]))
main()
# Find the Missing Number (easy)
'''
We are given an array containing n distinct numbers taken from the range 0 to n. Since the array has only n numbers out of the total n+1 numbers, find the missing number.
Example 1:
Input: [4, 0, 3, 1]
Output: 2
Example 2:
Input: [8, 3, 5, 2, 4, 6, 0, 1]
Output: 7
'''
def find_missing_number(nums):
maximum = len(nums)+1
auxArray = [None] * maximum
for i in range(len(nums)):
auxArray[nums[i]] = nums[i]
for j in range(len(auxArray)):
if auxArray[j] == None:
return j
def main():
print(find_missing_number([4, 0, 3, 1]))
print(find_missing_number([8, 3, 5, 2, 4, 6, 0, 1]))
main()
# Find the Missing Number (version 2 - Better)
def find_missing_number(nums):
i = 0
while i < len(nums):
j = nums[i]
if j != i and j < len(nums):
swap(i,j,nums)
else:
i += 1
for i in range(0,len(nums)):
if i != nums[i]:
return i
return len(nums)
def swap(x,y,arr):
arr[x], arr[y] = arr[y], arr[x]
def main():
print(find_missing_number([4, 0, 3, 1]))
print(find_missing_number([8, 3, 5, 2, 4, 6, 0, 1]))
main()
# Find all Missing Numbers
'''
We are given an unsorted array containing numbers taken from the range 1 to ‘n’. The array can have duplicates, which means some numbers will be missing. Find all those missing numbers.
Example 1:
Input: [2, 3, 1, 8, 2, 3, 5, 1]
Output: 4, 6, 7
Explanation: The array should have all numbers from 1 to 8, due to duplicates 4, 6, and 7 are missing.
Example 2:
Input: [2, 4, 1, 2]
Output: 3
Example 3:
Input: [2, 3, 2, 1]
Output: 4
'''
def find_missing_numbers(nums):
missingNumbers = []
i = 0
while i < len(nums):
j = nums[i]
if j != i + 1 and j != nums[j -1]:
swap(i,j-1, nums)
else:
i += 1
for i in range(len(nums)):
if nums[i] == i + 1:
continue
else:
missingNumbers.append(i+1)
return missingNumbers
def main():
print(find_missing_numbers([2, 3, 1, 8, 2, 3, 5, 1]))
print(find_missing_numbers([2, 4, 1, 2]))
print(find_missing_numbers([2, 3, 2, 1]))
main()
# Find the Duplicate Number
'''
We are given an unsorted array containing n+1 numbers taken from the range 1 to n.
The array has only one duplicate but it can be repeated multiple times.
Find that duplicate number without using any extra space.
You are, however, allowed to modify the input array.
Example 1:
Input: [1, 4, 4, 3, 2]
Output: 4
Example 2:
Input: [2, 1, 3, 3, 5, 4]
Output: 3
Example 3:
Input: [2, 4, 1, 4, 4]
Output: 4
'''
def find_duplicate(nums):
i = 0
while True:
if nums[i] == i + 1:
i += 1
if nums[i] != i + 1:
value = nums[i]
if nums[value - 1] != nums[i]:
swap(i,value - 1,nums)
else:
return value
def swap(x,y,arr):
arr[x], arr[y] = arr[y], arr[x]
print("find duplicate - for sure we have a duplicate")
def main():
print(find_duplicate([1, 4, 4, 3, 2]))
print(find_duplicate([2, 1, 3, 3, 5, 4]))
print(find_duplicate([2, 4, 1, 4, 4]))
main()
# Find all Duplicate Numbers
'''
We are given an unsorted array containing n numbers taken from the range 1 to n.
The array has some numbers appearing twice,
find all these duplicate numbers using constant space.
Example 1:
Input: [3, 4, 4, 5, 5]
Output: [4, 5]
Example 2:
Input: [5, 4, 7, 2, 3, 5, 3]
Output: [3, 5]
'''
def find_all_duplicates(nums):
i = 0
output = []
while i < len(nums):
if nums[i] == i + 1:
i += 1
elif nums[i] != i + 1:
value = nums[i]
if nums[value - 1] != nums[i]:
swap(i,value - 1,nums)
else:
output.append(value)
i += 1
return output
def swap(x,y,arr):
arr[x], arr[y] = arr[y], arr[x]
print(find_all_duplicates([3, 4, 4, 5, 5]))
# Find the Corrupt Pair (easy)#
'''
We are given an unsorted array containing n numbers taken from the range 1 to n.
The array originally contained all the numbers from 1 to n, but due to a data error,
one of the numbers got duplicated which also resulted in one number going missing.
Find both these numbers.
Example 1:
Input: [3, 1, 2, 5, 2]
Output: [2, 4]
Explanation: '2' is duplicated and '4' is missing.
Example 2:
Input: [3, 1, 2, 3, 6, 4]
Output: [3, 5]
Explanation: '3' is duplicated and '5' is missing.
'''
print("hello")
def find_corrupt_numbers(nums):
output = []
i = 0
while i < len(nums):
if nums[i] != i + 1:
value = nums[i]
if nums[value - 1] == value:
if value not in output:
output.append(value)
i += 1
else:
swap(i,value - 1, nums)
else:
i += 1
for i in range(len(nums)):
if nums[i] != i + 1:
output.append(i + 1)
return output
def swap(x,y,arr):
arr[x], arr[y] = arr[y], arr[x]
def main():
print(find_corrupt_numbers([3, 1, 2, 5, 2]))
print(find_corrupt_numbers([3, 1, 2, 3, 6, 4]))
main()
# Find the Smallest Missing Positive Number (medium)#
'''Given an unsorted array containing numbers,
find the smallest missing positive number in it.
Note: Positive numbers start from 1.
Example 1:
Input: [-3, 1, 5, 4, 2]
Output: 3
Explanation: The smallest missing positive number is '3'
Example 2:
Input: [3, -2, 0, 1, 2]
Output: 4
Example 3:
Input: [3, 2, 5, 1]
Output: 4
'''
def find_first_smallest_missing_positive(nums):
i = 0
while i < len(nums):
value = nums[i]
if value != i + 1:
if value < 1 or value > len(nums):
i +=1
else:
swap(i, value - 1, nums)
else:
i += 1
for i in range(len(nums)):
value = nums[i]
if value != i + 1:
return i + 1
def swap(x,y,arr):
arr[x], arr[y] = arr[y], arr[x]
def main():
print(find_first_smallest_missing_positive([-3, 1, 5, 4, 2]))
print(find_first_smallest_missing_positive([3, -2, 0, 1, 2]))
print(find_first_smallest_missing_positive([3, 2, 5, 1]))
main()
# Find the First K Missing Positive Numbers (hard)
'''
Given an unsorted array containing numbers and a number k,
find the first k missing positive numbers in the array.
Example 1:
Input: [3, -1, 4, 5, 5], k=3
Output: [1, 2, 6]
Explanation: The smallest missing positive numbers are 1, 2 and 6.
Example 2:
Input: [2, 3, 4], k=3
Output: [1, 5, 6]
Explanation: The smallest missing positive numbers are 1, 5 and 6.
Example 3:
Input: [-2, -3, 4], k=2
Output: [1, 2]
Explanation: The smallest missing positive numbers are 1 and 2.
'''
def swap(x,y,arr):
arr[x], arr[y] = arr[y], arr[x]
'''
def find_first_k_missing_positive(nums, k):
i = 0
output = []
while i < len(nums):
value = nums[i]
if value != i + 1:
if value <= 0:
i +=1
elif value > len(nums):
i += 1
elif value == nums[value - 1]:
i += 1
else:
swap(i, value - 1, nums)
else:
i += 1
print(nums)
pointer = 0
previousHigh = 0
while len(output) < k:
value = nums[pointer]
if value < pointer + 1:
output.append(pointer + 1)
previousHigh = pointer + 1
pointer += 1
elif value == pointer + 1:
pointer += 1
previousHigh = pointer + 1
elif value > pointer + 1:
while previousHigh < value -1 and len(output) < k:
previousHigh += 1
output.append(previousHigh)
pointer += 1
previousHigh = value
return output
'''
def find_first_k_missing_positive(nums, k):
n = len(nums)
i = 0
while i < len(nums):
j = nums[i] - 1
if nums[i] > 0 and nums[i] <= n and nums[i] != nums[j]:
nums[i], nums[j] = nums[j], nums[i] # swap
else:
i += 1
missingNumbers = []
extraNumbers = set()
for i in range(n):
if len(missingNumbers) < k:
if nums[i] != i + 1:
missingNumbers.append(i + 1)
extraNumbers.add(nums[i])
# add the remaining missing numbers
i = 1
while len(missingNumbers) < k:
candidateNumber = i + n
# ignore if the array contains the candidate number
if candidateNumber not in extraNumbers:
missingNumbers.append(candidateNumber)
i += 1
return missingNumbers
def main():
print(find_first_k_missing_positive([3, -1, 4, 5, 5], 3))
print(find_first_k_missing_positive([2, 3, 4], 3))
print(find_first_k_missing_positive([-2, -3, 4], 2))
main()