|
|
@@ -0,0 +1,504 @@
|
|
|
1
|
+[
|
|
|
2
|
+ {
|
|
|
3
|
+ "label": "randint",
|
|
|
4
|
+ "importPath": "random",
|
|
|
5
|
+ "description": "random",
|
|
|
6
|
+ "isExtraImport": true,
|
|
|
7
|
+ "detail": "random",
|
|
|
8
|
+ "documentation": {}
|
|
|
9
|
+ },
|
|
|
10
|
+ {
|
|
|
11
|
+ "label": "time",
|
|
|
12
|
+ "kind": 6,
|
|
|
13
|
+ "isExtraImport": true,
|
|
|
14
|
+ "importPath": "time",
|
|
|
15
|
+ "description": "time",
|
|
|
16
|
+ "detail": "time",
|
|
|
17
|
+ "documentation": {}
|
|
|
18
|
+ },
|
|
|
19
|
+ {
|
|
|
20
|
+ "label": "merge",
|
|
|
21
|
+ "importPath": "merge",
|
|
|
22
|
+ "description": "merge",
|
|
|
23
|
+ "isExtraImport": true,
|
|
|
24
|
+ "detail": "merge",
|
|
|
25
|
+ "documentation": {}
|
|
|
26
|
+ },
|
|
|
27
|
+ {
|
|
|
28
|
+ "label": "heap",
|
|
|
29
|
+ "kind": 6,
|
|
|
30
|
+ "isExtraImport": true,
|
|
|
31
|
+ "importPath": "heap",
|
|
|
32
|
+ "description": "heap",
|
|
|
33
|
+ "detail": "heap",
|
|
|
34
|
+ "documentation": {}
|
|
|
35
|
+ },
|
|
|
36
|
+ {
|
|
|
37
|
+ "label": "heapify",
|
|
|
38
|
+ "kind": 2,
|
|
|
39
|
+ "importPath": "heap",
|
|
|
40
|
+ "description": "heap",
|
|
|
41
|
+ "peekOfCode": "def heapify(lista, n, i):\n\tlargest = i # Initialize largest as root\n\tl = 2 * i + 1 # left = 2*i + 1\n\tr = 2 * i + 2 # right = 2*i + 2\n# See if left child of root exists and is\n# greater than root\n\tif l < n and lista[i] < lista[l]:\n\t\tlargest = l\n# See if right child of root exists and is\n# greater than root",
|
|
|
42
|
+ "detail": "heap",
|
|
|
43
|
+ "documentation": {}
|
|
|
44
|
+ },
|
|
|
45
|
+ {
|
|
|
46
|
+ "label": "\tlargest",
|
|
|
47
|
+ "kind": 5,
|
|
|
48
|
+ "importPath": "heap",
|
|
|
49
|
+ "description": "heap",
|
|
|
50
|
+ "peekOfCode": "\tlargest = i # Initialize largest as root\n\tl = 2 * i + 1 # left = 2*i + 1\n\tr = 2 * i + 2 # right = 2*i + 2\n# See if left child of root exists and is\n# greater than root\n\tif l < n and lista[i] < lista[l]:\n\t\tlargest = l\n# See if right child of root exists and is\n# greater than root\n\tif r < n and lista[largest] < lista[r]:",
|
|
|
51
|
+ "detail": "heap",
|
|
|
52
|
+ "documentation": {}
|
|
|
53
|
+ },
|
|
|
54
|
+ {
|
|
|
55
|
+ "label": "\tl",
|
|
|
56
|
+ "kind": 5,
|
|
|
57
|
+ "importPath": "heap",
|
|
|
58
|
+ "description": "heap",
|
|
|
59
|
+ "peekOfCode": "\tl = 2 * i + 1 # left = 2*i + 1\n\tr = 2 * i + 2 # right = 2*i + 2\n# See if left child of root exists and is\n# greater than root\n\tif l < n and lista[i] < lista[l]:\n\t\tlargest = l\n# See if right child of root exists and is\n# greater than root\n\tif r < n and lista[largest] < lista[r]:\n\t\tlargest = r",
|
|
|
60
|
+ "detail": "heap",
|
|
|
61
|
+ "documentation": {}
|
|
|
62
|
+ },
|
|
|
63
|
+ {
|
|
|
64
|
+ "label": "\tr",
|
|
|
65
|
+ "kind": 5,
|
|
|
66
|
+ "importPath": "heap",
|
|
|
67
|
+ "description": "heap",
|
|
|
68
|
+ "peekOfCode": "\tr = 2 * i + 2 # right = 2*i + 2\n# See if left child of root exists and is\n# greater than root\n\tif l < n and lista[i] < lista[l]:\n\t\tlargest = l\n# See if right child of root exists and is\n# greater than root\n\tif r < n and lista[largest] < lista[r]:\n\t\tlargest = r\n# Change root, if needed",
|
|
|
69
|
+ "detail": "heap",
|
|
|
70
|
+ "documentation": {}
|
|
|
71
|
+ },
|
|
|
72
|
+ {
|
|
|
73
|
+ "label": "\t\tlargest",
|
|
|
74
|
+ "kind": 5,
|
|
|
75
|
+ "importPath": "heap",
|
|
|
76
|
+ "description": "heap",
|
|
|
77
|
+ "peekOfCode": "\t\tlargest = l\n# See if right child of root exists and is\n# greater than root\n\tif r < n and lista[largest] < lista[r]:\n\t\tlargest = r\n# Change root, if needed\n\tif largest != i:\n\t\t(lista[i], lista[largest]) = (lista[largest], lista[i]) # swap\n# Heapify the root.\n\t\theapify(lista, n, largest)",
|
|
|
78
|
+ "detail": "heap",
|
|
|
79
|
+ "documentation": {}
|
|
|
80
|
+ },
|
|
|
81
|
+ {
|
|
|
82
|
+ "label": "\t\tlargest",
|
|
|
83
|
+ "kind": 5,
|
|
|
84
|
+ "importPath": "heap",
|
|
|
85
|
+ "description": "heap",
|
|
|
86
|
+ "peekOfCode": "\t\tlargest = r\n# Change root, if needed\n\tif largest != i:\n\t\t(lista[i], lista[largest]) = (lista[largest], lista[i]) # swap\n# Heapify the root.\n\t\theapify(lista, n, largest)",
|
|
|
87
|
+ "detail": "heap",
|
|
|
88
|
+ "documentation": {}
|
|
|
89
|
+ },
|
|
|
90
|
+ {
|
|
|
91
|
+ "label": "merge",
|
|
|
92
|
+ "kind": 2,
|
|
|
93
|
+ "importPath": "merge",
|
|
|
94
|
+ "description": "merge",
|
|
|
95
|
+ "peekOfCode": "def merge(arr, l, m, r):\n\tn1 = m - l + 1\n\tn2 = r - m\n\t# create temp arrays\n\tL = [0] * (n1)\n\tR = [0] * (n2)\n\t# Copy data to temp arrays L[] and R[]\n\tfor i in range(0, n1):\n\t\tL[i] = arr[l + i]\n\tfor j in range(0, n2):",
|
|
|
96
|
+ "detail": "merge",
|
|
|
97
|
+ "documentation": {}
|
|
|
98
|
+ },
|
|
|
99
|
+ {
|
|
|
100
|
+ "label": "\tn1",
|
|
|
101
|
+ "kind": 5,
|
|
|
102
|
+ "importPath": "merge",
|
|
|
103
|
+ "description": "merge",
|
|
|
104
|
+ "peekOfCode": "\tn1 = m - l + 1\n\tn2 = r - m\n\t# create temp arrays\n\tL = [0] * (n1)\n\tR = [0] * (n2)\n\t# Copy data to temp arrays L[] and R[]\n\tfor i in range(0, n1):\n\t\tL[i] = arr[l + i]\n\tfor j in range(0, n2):\n\t\tR[j] = arr[m + 1 + j]",
|
|
|
105
|
+ "detail": "merge",
|
|
|
106
|
+ "documentation": {}
|
|
|
107
|
+ },
|
|
|
108
|
+ {
|
|
|
109
|
+ "label": "\tn2",
|
|
|
110
|
+ "kind": 5,
|
|
|
111
|
+ "importPath": "merge",
|
|
|
112
|
+ "description": "merge",
|
|
|
113
|
+ "peekOfCode": "\tn2 = r - m\n\t# create temp arrays\n\tL = [0] * (n1)\n\tR = [0] * (n2)\n\t# Copy data to temp arrays L[] and R[]\n\tfor i in range(0, n1):\n\t\tL[i] = arr[l + i]\n\tfor j in range(0, n2):\n\t\tR[j] = arr[m + 1 + j]\n\t# Merge the temp arrays back into arr[l..r]",
|
|
|
114
|
+ "detail": "merge",
|
|
|
115
|
+ "documentation": {}
|
|
|
116
|
+ },
|
|
|
117
|
+ {
|
|
|
118
|
+ "label": "\tL",
|
|
|
119
|
+ "kind": 5,
|
|
|
120
|
+ "importPath": "merge",
|
|
|
121
|
+ "description": "merge",
|
|
|
122
|
+ "peekOfCode": "\tL = [0] * (n1)\n\tR = [0] * (n2)\n\t# Copy data to temp arrays L[] and R[]\n\tfor i in range(0, n1):\n\t\tL[i] = arr[l + i]\n\tfor j in range(0, n2):\n\t\tR[j] = arr[m + 1 + j]\n\t# Merge the temp arrays back into arr[l..r]\n\ti = 0\t # Initial index of first subarray\n\tj = 0\t # Initial index of second subarray",
|
|
|
123
|
+ "detail": "merge",
|
|
|
124
|
+ "documentation": {}
|
|
|
125
|
+ },
|
|
|
126
|
+ {
|
|
|
127
|
+ "label": "\tR",
|
|
|
128
|
+ "kind": 5,
|
|
|
129
|
+ "importPath": "merge",
|
|
|
130
|
+ "description": "merge",
|
|
|
131
|
+ "peekOfCode": "\tR = [0] * (n2)\n\t# Copy data to temp arrays L[] and R[]\n\tfor i in range(0, n1):\n\t\tL[i] = arr[l + i]\n\tfor j in range(0, n2):\n\t\tR[j] = arr[m + 1 + j]\n\t# Merge the temp arrays back into arr[l..r]\n\ti = 0\t # Initial index of first subarray\n\tj = 0\t # Initial index of second subarray\n\tk = l\t # Initial index of merged subarray",
|
|
|
132
|
+ "detail": "merge",
|
|
|
133
|
+ "documentation": {}
|
|
|
134
|
+ },
|
|
|
135
|
+ {
|
|
|
136
|
+ "label": "\t\tL[i]",
|
|
|
137
|
+ "kind": 5,
|
|
|
138
|
+ "importPath": "merge",
|
|
|
139
|
+ "description": "merge",
|
|
|
140
|
+ "peekOfCode": "\t\tL[i] = arr[l + i]\n\tfor j in range(0, n2):\n\t\tR[j] = arr[m + 1 + j]\n\t# Merge the temp arrays back into arr[l..r]\n\ti = 0\t # Initial index of first subarray\n\tj = 0\t # Initial index of second subarray\n\tk = l\t # Initial index of merged subarray\n\twhile i < n1 and j < n2:\n\t\tif L[i] <= R[j]:\n\t\t\tarr[k] = L[i]",
|
|
|
141
|
+ "detail": "merge",
|
|
|
142
|
+ "documentation": {}
|
|
|
143
|
+ },
|
|
|
144
|
+ {
|
|
|
145
|
+ "label": "\t\tR[j]",
|
|
|
146
|
+ "kind": 5,
|
|
|
147
|
+ "importPath": "merge",
|
|
|
148
|
+ "description": "merge",
|
|
|
149
|
+ "peekOfCode": "\t\tR[j] = arr[m + 1 + j]\n\t# Merge the temp arrays back into arr[l..r]\n\ti = 0\t # Initial index of first subarray\n\tj = 0\t # Initial index of second subarray\n\tk = l\t # Initial index of merged subarray\n\twhile i < n1 and j < n2:\n\t\tif L[i] <= R[j]:\n\t\t\tarr[k] = L[i]\n\t\t\ti += 1\n\t\telse:",
|
|
|
150
|
+ "detail": "merge",
|
|
|
151
|
+ "documentation": {}
|
|
|
152
|
+ },
|
|
|
153
|
+ {
|
|
|
154
|
+ "label": "\ti",
|
|
|
155
|
+ "kind": 5,
|
|
|
156
|
+ "importPath": "merge",
|
|
|
157
|
+ "description": "merge",
|
|
|
158
|
+ "peekOfCode": "\ti = 0\t # Initial index of first subarray\n\tj = 0\t # Initial index of second subarray\n\tk = l\t # Initial index of merged subarray\n\twhile i < n1 and j < n2:\n\t\tif L[i] <= R[j]:\n\t\t\tarr[k] = L[i]\n\t\t\ti += 1\n\t\telse:\n\t\t\tarr[k] = R[j]\n\t\t\tj += 1",
|
|
|
159
|
+ "detail": "merge",
|
|
|
160
|
+ "documentation": {}
|
|
|
161
|
+ },
|
|
|
162
|
+ {
|
|
|
163
|
+ "label": "\tj",
|
|
|
164
|
+ "kind": 5,
|
|
|
165
|
+ "importPath": "merge",
|
|
|
166
|
+ "description": "merge",
|
|
|
167
|
+ "peekOfCode": "\tj = 0\t # Initial index of second subarray\n\tk = l\t # Initial index of merged subarray\n\twhile i < n1 and j < n2:\n\t\tif L[i] <= R[j]:\n\t\t\tarr[k] = L[i]\n\t\t\ti += 1\n\t\telse:\n\t\t\tarr[k] = R[j]\n\t\t\tj += 1\n\t\tk += 1",
|
|
|
168
|
+ "detail": "merge",
|
|
|
169
|
+ "documentation": {}
|
|
|
170
|
+ },
|
|
|
171
|
+ {
|
|
|
172
|
+ "label": "\tk",
|
|
|
173
|
+ "kind": 5,
|
|
|
174
|
+ "importPath": "merge",
|
|
|
175
|
+ "description": "merge",
|
|
|
176
|
+ "peekOfCode": "\tk = l\t # Initial index of merged subarray\n\twhile i < n1 and j < n2:\n\t\tif L[i] <= R[j]:\n\t\t\tarr[k] = L[i]\n\t\t\ti += 1\n\t\telse:\n\t\t\tarr[k] = R[j]\n\t\t\tj += 1\n\t\tk += 1\n\t# Copy the remaining elements of L[], if there",
|
|
|
177
|
+ "detail": "merge",
|
|
|
178
|
+ "documentation": {}
|
|
|
179
|
+ },
|
|
|
180
|
+ {
|
|
|
181
|
+ "label": "\t\t\tarr[k]",
|
|
|
182
|
+ "kind": 5,
|
|
|
183
|
+ "importPath": "merge",
|
|
|
184
|
+ "description": "merge",
|
|
|
185
|
+ "peekOfCode": "\t\t\tarr[k] = L[i]\n\t\t\ti += 1\n\t\telse:\n\t\t\tarr[k] = R[j]\n\t\t\tj += 1\n\t\tk += 1\n\t# Copy the remaining elements of L[], if there\n\t# are any\n\twhile i < n1:\n\t\tarr[k] = L[i]",
|
|
|
186
|
+ "detail": "merge",
|
|
|
187
|
+ "documentation": {}
|
|
|
188
|
+ },
|
|
|
189
|
+ {
|
|
|
190
|
+ "label": "\t\t\tarr[k]",
|
|
|
191
|
+ "kind": 5,
|
|
|
192
|
+ "importPath": "merge",
|
|
|
193
|
+ "description": "merge",
|
|
|
194
|
+ "peekOfCode": "\t\t\tarr[k] = R[j]\n\t\t\tj += 1\n\t\tk += 1\n\t# Copy the remaining elements of L[], if there\n\t# are any\n\twhile i < n1:\n\t\tarr[k] = L[i]\n\t\ti += 1\n\t\tk += 1\n\t# Copy the remaining elements of R[], if there",
|
|
|
195
|
+ "detail": "merge",
|
|
|
196
|
+ "documentation": {}
|
|
|
197
|
+ },
|
|
|
198
|
+ {
|
|
|
199
|
+ "label": "\t\tarr[k]",
|
|
|
200
|
+ "kind": 5,
|
|
|
201
|
+ "importPath": "merge",
|
|
|
202
|
+ "description": "merge",
|
|
|
203
|
+ "peekOfCode": "\t\tarr[k] = L[i]\n\t\ti += 1\n\t\tk += 1\n\t# Copy the remaining elements of R[], if there\n\t# are any\n\twhile j < n2:\n\t\tarr[k] = R[j]\n\t\tj += 1\n\t\tk += 1\n# l is for left index and r is right index of the",
|
|
|
204
|
+ "detail": "merge",
|
|
|
205
|
+ "documentation": {}
|
|
|
206
|
+ },
|
|
|
207
|
+ {
|
|
|
208
|
+ "label": "\t\tarr[k]",
|
|
|
209
|
+ "kind": 5,
|
|
|
210
|
+ "importPath": "merge",
|
|
|
211
|
+ "description": "merge",
|
|
|
212
|
+ "peekOfCode": "\t\tarr[k] = R[j]\n\t\tj += 1\n\t\tk += 1\n# l is for left index and r is right index of the\n# sub-array of arr to be sorted",
|
|
|
213
|
+ "detail": "merge",
|
|
|
214
|
+ "documentation": {}
|
|
|
215
|
+ },
|
|
|
216
|
+ {
|
|
|
217
|
+ "label": "mergeSort",
|
|
|
218
|
+ "kind": 2,
|
|
|
219
|
+ "importPath": "sorting",
|
|
|
220
|
+ "description": "sorting",
|
|
|
221
|
+ "peekOfCode": "def mergeSort(lista, l, r):\n\tif l < r:\n # Same as (l+r)//2, but avoids overflow for\n # large l and h\n\t\tm = l+(r-l)//2\n # Sort first and second halves\n\t\tmergeSort(lista, l, m)\n\t\tmergeSort(lista, m+1, r)\n\t\tmerge(lista, l, m, r)\n''' Luis Andrés López Mañán",
|
|
|
222
|
+ "detail": "sorting",
|
|
|
223
|
+ "documentation": {}
|
|
|
224
|
+ },
|
|
|
225
|
+ {
|
|
|
226
|
+ "label": "heapSort",
|
|
|
227
|
+ "kind": 2,
|
|
|
228
|
+ "importPath": "sorting",
|
|
|
229
|
+ "description": "sorting",
|
|
|
230
|
+ "peekOfCode": "def heapSort(lista):\n\t# Se busca el tamaño de la lista\n\tn = len(lista)\n\theap.heapify(lista,n,0)\n\t\"\"\" Se crea un heap máximo y el último padre estará en\n\t\tla posición h1, i.e., la mitad del tamaño de la lista.\n\t\tPor lo tanto, ese sería el comienzo. \n\t\"\"\"\n\th1 = (n // 2) - 1\n\tfor i in range(h1, -1, -1):",
|
|
|
231
|
+ "detail": "sorting",
|
|
|
232
|
+ "documentation": {}
|
|
|
233
|
+ },
|
|
|
234
|
+ {
|
|
|
235
|
+ "label": "quickSort",
|
|
|
236
|
+ "kind": 2,
|
|
|
237
|
+ "importPath": "sorting",
|
|
|
238
|
+ "description": "sorting",
|
|
|
239
|
+ "peekOfCode": "def quickSort(lista):\n\t# definan el algoritmo de ordenamiento quicksort\n\telements = len(lista)\n # Base case\n\tif elements < 2:\n\t\treturn lista\n\tcurrent_position = 0 #Position of the partitioning element\n\tfor i in range(1, elements): #Partitioning loop\n\t\tif lista[i] <= lista[0]:\n\t\t\tcurrent_position += 1",
|
|
|
240
|
+ "detail": "sorting",
|
|
|
241
|
+ "documentation": {}
|
|
|
242
|
+ },
|
|
|
243
|
+ {
|
|
|
244
|
+ "label": "shellSort",
|
|
|
245
|
+ "kind": 2,
|
|
|
246
|
+ "importPath": "sorting",
|
|
|
247
|
+ "description": "sorting",
|
|
|
248
|
+ "peekOfCode": "def shellSort(lista):\n\t# definan el algoritmo de ordenamiento shellsort\n\t# determening the size of the list and calculates the gap value. \n\tn = len(lista)\n\tgap = n // 2\n\t# this algorithm will run until gap reaches 1 \n\twhile gap > 0:\n\t\tfor i in range(gap, n):\n\t\t\ttemp = lista[i] # storing all items from the list into temp \n\t\t\tj = i ",
|
|
|
249
|
+ "detail": "sorting",
|
|
|
250
|
+ "documentation": {}
|
|
|
251
|
+ },
|
|
|
252
|
+ {
|
|
|
253
|
+ "label": "\t\tm",
|
|
|
254
|
+ "kind": 5,
|
|
|
255
|
+ "importPath": "sorting",
|
|
|
256
|
+ "description": "sorting",
|
|
|
257
|
+ "peekOfCode": "\t\tm = l+(r-l)//2\n # Sort first and second halves\n\t\tmergeSort(lista, l, m)\n\t\tmergeSort(lista, m+1, r)\n\t\tmerge(lista, l, m, r)\n''' Luis Andrés López Mañán\n Program written by hand as a draft on 09/19/2022\n Credit goes to GeeksForGeeks\n Link: https://www.geeksforgeeks.org/python-program-for-heap-sort/\n Last access on 09/19/2022",
|
|
|
258
|
+ "detail": "sorting",
|
|
|
259
|
+ "documentation": {}
|
|
|
260
|
+ },
|
|
|
261
|
+ {
|
|
|
262
|
+ "label": "\tn",
|
|
|
263
|
+ "kind": 5,
|
|
|
264
|
+ "importPath": "sorting",
|
|
|
265
|
+ "description": "sorting",
|
|
|
266
|
+ "peekOfCode": "\tn = len(lista)\n\theap.heapify(lista,n,0)\n\t\"\"\" Se crea un heap máximo y el último padre estará en\n\t\tla posición h1, i.e., la mitad del tamaño de la lista.\n\t\tPor lo tanto, ese sería el comienzo. \n\t\"\"\"\n\th1 = (n // 2) - 1\n\tfor i in range(h1, -1, -1):\n\t\theap.heapify(lista, n, i)\n\t# Se extrae los elementos uno a uno",
|
|
|
267
|
+ "detail": "sorting",
|
|
|
268
|
+ "documentation": {}
|
|
|
269
|
+ },
|
|
|
270
|
+ {
|
|
|
271
|
+ "label": "\th1",
|
|
|
272
|
+ "kind": 5,
|
|
|
273
|
+ "importPath": "sorting",
|
|
|
274
|
+ "description": "sorting",
|
|
|
275
|
+ "peekOfCode": "\th1 = (n // 2) - 1\n\tfor i in range(h1, -1, -1):\n\t\theap.heapify(lista, n, i)\n\t# Se extrae los elementos uno a uno\n\th2 = n - 1\n\tfor i in range(h2, 0, -1):\n\t\t# Se intercambia, luego se hace heapify\n\t\tlista[i], lista[0] = lista[0], lista[i]\n\t\theap.heapify(lista, 0, i)\n\treturn lista",
|
|
|
276
|
+ "detail": "sorting",
|
|
|
277
|
+ "documentation": {}
|
|
|
278
|
+ },
|
|
|
279
|
+ {
|
|
|
280
|
+ "label": "\th2",
|
|
|
281
|
+ "kind": 5,
|
|
|
282
|
+ "importPath": "sorting",
|
|
|
283
|
+ "description": "sorting",
|
|
|
284
|
+ "peekOfCode": "\th2 = n - 1\n\tfor i in range(h2, 0, -1):\n\t\t# Se intercambia, luego se hace heapify\n\t\tlista[i], lista[0] = lista[0], lista[i]\n\t\theap.heapify(lista, 0, i)\n\treturn lista\ndef quickSort(lista):\n\t# definan el algoritmo de ordenamiento quicksort\n\telements = len(lista)\n # Base case",
|
|
|
285
|
+ "detail": "sorting",
|
|
|
286
|
+ "documentation": {}
|
|
|
287
|
+ },
|
|
|
288
|
+ {
|
|
|
289
|
+ "label": "\telements",
|
|
|
290
|
+ "kind": 5,
|
|
|
291
|
+ "importPath": "sorting",
|
|
|
292
|
+ "description": "sorting",
|
|
|
293
|
+ "peekOfCode": "\telements = len(lista)\n # Base case\n\tif elements < 2:\n\t\treturn lista\n\tcurrent_position = 0 #Position of the partitioning element\n\tfor i in range(1, elements): #Partitioning loop\n\t\tif lista[i] <= lista[0]:\n\t\t\tcurrent_position += 1\n\t\t\ttemp = lista[i]\n\t\t\tlista[i] = lista[current_position]",
|
|
|
294
|
+ "detail": "sorting",
|
|
|
295
|
+ "documentation": {}
|
|
|
296
|
+ },
|
|
|
297
|
+ {
|
|
|
298
|
+ "label": "\tcurrent_position",
|
|
|
299
|
+ "kind": 5,
|
|
|
300
|
+ "importPath": "sorting",
|
|
|
301
|
+ "description": "sorting",
|
|
|
302
|
+ "peekOfCode": "\tcurrent_position = 0 #Position of the partitioning element\n\tfor i in range(1, elements): #Partitioning loop\n\t\tif lista[i] <= lista[0]:\n\t\t\tcurrent_position += 1\n\t\t\ttemp = lista[i]\n\t\t\tlista[i] = lista[current_position]\n\t\t\tlista[current_position] = temp\n\ttemp = lista[0]\n\tlista[0] = lista[current_position] \n\tlista[current_position] = temp #Brings pivot to it's appropriate position",
|
|
|
303
|
+ "detail": "sorting",
|
|
|
304
|
+ "documentation": {}
|
|
|
305
|
+ },
|
|
|
306
|
+ {
|
|
|
307
|
+ "label": "\t\t\ttemp",
|
|
|
308
|
+ "kind": 5,
|
|
|
309
|
+ "importPath": "sorting",
|
|
|
310
|
+ "description": "sorting",
|
|
|
311
|
+ "peekOfCode": "\t\t\ttemp = lista[i]\n\t\t\tlista[i] = lista[current_position]\n\t\t\tlista[current_position] = temp\n\ttemp = lista[0]\n\tlista[0] = lista[current_position] \n\tlista[current_position] = temp #Brings pivot to it's appropriate position\n\tleft = quickSort(lista[0:current_position]) #Sorts the elements to the left of pivot\n\tright = quickSort(lista[current_position+1:elements]) #sorts the elements to the right of pivot\n\tlista = left + [lista[current_position]] + right #Merging everything together\n\treturn lista",
|
|
|
312
|
+ "detail": "sorting",
|
|
|
313
|
+ "documentation": {}
|
|
|
314
|
+ },
|
|
|
315
|
+ {
|
|
|
316
|
+ "label": "\t\t\tlista[i]",
|
|
|
317
|
+ "kind": 5,
|
|
|
318
|
+ "importPath": "sorting",
|
|
|
319
|
+ "description": "sorting",
|
|
|
320
|
+ "peekOfCode": "\t\t\tlista[i] = lista[current_position]\n\t\t\tlista[current_position] = temp\n\ttemp = lista[0]\n\tlista[0] = lista[current_position] \n\tlista[current_position] = temp #Brings pivot to it's appropriate position\n\tleft = quickSort(lista[0:current_position]) #Sorts the elements to the left of pivot\n\tright = quickSort(lista[current_position+1:elements]) #sorts the elements to the right of pivot\n\tlista = left + [lista[current_position]] + right #Merging everything together\n\treturn lista\n''' ",
|
|
|
321
|
+ "detail": "sorting",
|
|
|
322
|
+ "documentation": {}
|
|
|
323
|
+ },
|
|
|
324
|
+ {
|
|
|
325
|
+ "label": "\t\t\tlista[current_position]",
|
|
|
326
|
+ "kind": 5,
|
|
|
327
|
+ "importPath": "sorting",
|
|
|
328
|
+ "description": "sorting",
|
|
|
329
|
+ "peekOfCode": "\t\t\tlista[current_position] = temp\n\ttemp = lista[0]\n\tlista[0] = lista[current_position] \n\tlista[current_position] = temp #Brings pivot to it's appropriate position\n\tleft = quickSort(lista[0:current_position]) #Sorts the elements to the left of pivot\n\tright = quickSort(lista[current_position+1:elements]) #sorts the elements to the right of pivot\n\tlista = left + [lista[current_position]] + right #Merging everything together\n\treturn lista\n''' \n\tThis algorithm was taken from: https://www.programiz.com/dsa/shell-sort ",
|
|
|
330
|
+ "detail": "sorting",
|
|
|
331
|
+ "documentation": {}
|
|
|
332
|
+ },
|
|
|
333
|
+ {
|
|
|
334
|
+ "label": "\ttemp",
|
|
|
335
|
+ "kind": 5,
|
|
|
336
|
+ "importPath": "sorting",
|
|
|
337
|
+ "description": "sorting",
|
|
|
338
|
+ "peekOfCode": "\ttemp = lista[0]\n\tlista[0] = lista[current_position] \n\tlista[current_position] = temp #Brings pivot to it's appropriate position\n\tleft = quickSort(lista[0:current_position]) #Sorts the elements to the left of pivot\n\tright = quickSort(lista[current_position+1:elements]) #sorts the elements to the right of pivot\n\tlista = left + [lista[current_position]] + right #Merging everything together\n\treturn lista\n''' \n\tThis algorithm was taken from: https://www.programiz.com/dsa/shell-sort \n\tand was adapted in order to work for this assigment.",
|
|
|
339
|
+ "detail": "sorting",
|
|
|
340
|
+ "documentation": {}
|
|
|
341
|
+ },
|
|
|
342
|
+ {
|
|
|
343
|
+ "label": "\tlista[0]",
|
|
|
344
|
+ "kind": 5,
|
|
|
345
|
+ "importPath": "sorting",
|
|
|
346
|
+ "description": "sorting",
|
|
|
347
|
+ "peekOfCode": "\tlista[0] = lista[current_position] \n\tlista[current_position] = temp #Brings pivot to it's appropriate position\n\tleft = quickSort(lista[0:current_position]) #Sorts the elements to the left of pivot\n\tright = quickSort(lista[current_position+1:elements]) #sorts the elements to the right of pivot\n\tlista = left + [lista[current_position]] + right #Merging everything together\n\treturn lista\n''' \n\tThis algorithm was taken from: https://www.programiz.com/dsa/shell-sort \n\tand was adapted in order to work for this assigment.\n'''",
|
|
|
348
|
+ "detail": "sorting",
|
|
|
349
|
+ "documentation": {}
|
|
|
350
|
+ },
|
|
|
351
|
+ {
|
|
|
352
|
+ "label": "\tlista[current_position]",
|
|
|
353
|
+ "kind": 5,
|
|
|
354
|
+ "importPath": "sorting",
|
|
|
355
|
+ "description": "sorting",
|
|
|
356
|
+ "peekOfCode": "\tlista[current_position] = temp #Brings pivot to it's appropriate position\n\tleft = quickSort(lista[0:current_position]) #Sorts the elements to the left of pivot\n\tright = quickSort(lista[current_position+1:elements]) #sorts the elements to the right of pivot\n\tlista = left + [lista[current_position]] + right #Merging everything together\n\treturn lista\n''' \n\tThis algorithm was taken from: https://www.programiz.com/dsa/shell-sort \n\tand was adapted in order to work for this assigment.\n'''\ndef shellSort(lista):",
|
|
|
357
|
+ "detail": "sorting",
|
|
|
358
|
+ "documentation": {}
|
|
|
359
|
+ },
|
|
|
360
|
+ {
|
|
|
361
|
+ "label": "\tleft",
|
|
|
362
|
+ "kind": 5,
|
|
|
363
|
+ "importPath": "sorting",
|
|
|
364
|
+ "description": "sorting",
|
|
|
365
|
+ "peekOfCode": "\tleft = quickSort(lista[0:current_position]) #Sorts the elements to the left of pivot\n\tright = quickSort(lista[current_position+1:elements]) #sorts the elements to the right of pivot\n\tlista = left + [lista[current_position]] + right #Merging everything together\n\treturn lista\n''' \n\tThis algorithm was taken from: https://www.programiz.com/dsa/shell-sort \n\tand was adapted in order to work for this assigment.\n'''\ndef shellSort(lista):\n\t# definan el algoritmo de ordenamiento shellsort",
|
|
|
366
|
+ "detail": "sorting",
|
|
|
367
|
+ "documentation": {}
|
|
|
368
|
+ },
|
|
|
369
|
+ {
|
|
|
370
|
+ "label": "\tright",
|
|
|
371
|
+ "kind": 5,
|
|
|
372
|
+ "importPath": "sorting",
|
|
|
373
|
+ "description": "sorting",
|
|
|
374
|
+ "peekOfCode": "\tright = quickSort(lista[current_position+1:elements]) #sorts the elements to the right of pivot\n\tlista = left + [lista[current_position]] + right #Merging everything together\n\treturn lista\n''' \n\tThis algorithm was taken from: https://www.programiz.com/dsa/shell-sort \n\tand was adapted in order to work for this assigment.\n'''\ndef shellSort(lista):\n\t# definan el algoritmo de ordenamiento shellsort\n\t# determening the size of the list and calculates the gap value. ",
|
|
|
375
|
+ "detail": "sorting",
|
|
|
376
|
+ "documentation": {}
|
|
|
377
|
+ },
|
|
|
378
|
+ {
|
|
|
379
|
+ "label": "\tlista",
|
|
|
380
|
+ "kind": 5,
|
|
|
381
|
+ "importPath": "sorting",
|
|
|
382
|
+ "description": "sorting",
|
|
|
383
|
+ "peekOfCode": "\tlista = left + [lista[current_position]] + right #Merging everything together\n\treturn lista\n''' \n\tThis algorithm was taken from: https://www.programiz.com/dsa/shell-sort \n\tand was adapted in order to work for this assigment.\n'''\ndef shellSort(lista):\n\t# definan el algoritmo de ordenamiento shellsort\n\t# determening the size of the list and calculates the gap value. \n\tn = len(lista)",
|
|
|
384
|
+ "detail": "sorting",
|
|
|
385
|
+ "documentation": {}
|
|
|
386
|
+ },
|
|
|
387
|
+ {
|
|
|
388
|
+ "label": "\tn",
|
|
|
389
|
+ "kind": 5,
|
|
|
390
|
+ "importPath": "sorting",
|
|
|
391
|
+ "description": "sorting",
|
|
|
392
|
+ "peekOfCode": "\tn = len(lista)\n\tgap = n // 2\n\t# this algorithm will run until gap reaches 1 \n\twhile gap > 0:\n\t\tfor i in range(gap, n):\n\t\t\ttemp = lista[i] # storing all items from the list into temp \n\t\t\tj = i \n\t\t\t# compares the number in temp with the 0th possition (start of list)\n\t\t\t# if temp is larger than the first element then we swap them\n\t\t\twhile j >= gap and lista[j - gap] > temp: ",
|
|
|
393
|
+ "detail": "sorting",
|
|
|
394
|
+ "documentation": {}
|
|
|
395
|
+ },
|
|
|
396
|
+ {
|
|
|
397
|
+ "label": "\tgap",
|
|
|
398
|
+ "kind": 5,
|
|
|
399
|
+ "importPath": "sorting",
|
|
|
400
|
+ "description": "sorting",
|
|
|
401
|
+ "peekOfCode": "\tgap = n // 2\n\t# this algorithm will run until gap reaches 1 \n\twhile gap > 0:\n\t\tfor i in range(gap, n):\n\t\t\ttemp = lista[i] # storing all items from the list into temp \n\t\t\tj = i \n\t\t\t# compares the number in temp with the 0th possition (start of list)\n\t\t\t# if temp is larger than the first element then we swap them\n\t\t\twhile j >= gap and lista[j - gap] > temp: \n\t\t\t\tlista[j] = lista[j - gap]",
|
|
|
402
|
+ "detail": "sorting",
|
|
|
403
|
+ "documentation": {}
|
|
|
404
|
+ },
|
|
|
405
|
+ {
|
|
|
406
|
+ "label": "\t\t\ttemp",
|
|
|
407
|
+ "kind": 5,
|
|
|
408
|
+ "importPath": "sorting",
|
|
|
409
|
+ "description": "sorting",
|
|
|
410
|
+ "peekOfCode": "\t\t\ttemp = lista[i] # storing all items from the list into temp \n\t\t\tj = i \n\t\t\t# compares the number in temp with the 0th possition (start of list)\n\t\t\t# if temp is larger than the first element then we swap them\n\t\t\twhile j >= gap and lista[j - gap] > temp: \n\t\t\t\tlista[j] = lista[j - gap]\n\t\t\t\tj -= gap\n\t\t\tlista[j] = temp\n\t\tgap = gap // 2 # decreases the gap to continue the loop \n\treturn lista",
|
|
|
411
|
+ "detail": "sorting",
|
|
|
412
|
+ "documentation": {}
|
|
|
413
|
+ },
|
|
|
414
|
+ {
|
|
|
415
|
+ "label": "\t\t\tj",
|
|
|
416
|
+ "kind": 5,
|
|
|
417
|
+ "importPath": "sorting",
|
|
|
418
|
+ "description": "sorting",
|
|
|
419
|
+ "peekOfCode": "\t\t\tj = i \n\t\t\t# compares the number in temp with the 0th possition (start of list)\n\t\t\t# if temp is larger than the first element then we swap them\n\t\t\twhile j >= gap and lista[j - gap] > temp: \n\t\t\t\tlista[j] = lista[j - gap]\n\t\t\t\tj -= gap\n\t\t\tlista[j] = temp\n\t\tgap = gap // 2 # decreases the gap to continue the loop \n\treturn lista\nmaxValor=1000 \t#define el valor maximo de los elementos de la lista",
|
|
|
420
|
+ "detail": "sorting",
|
|
|
421
|
+ "documentation": {}
|
|
|
422
|
+ },
|
|
|
423
|
+ {
|
|
|
424
|
+ "label": "\t\t\t\tlista[j]",
|
|
|
425
|
+ "kind": 5,
|
|
|
426
|
+ "importPath": "sorting",
|
|
|
427
|
+ "description": "sorting",
|
|
|
428
|
+ "peekOfCode": "\t\t\t\tlista[j] = lista[j - gap]\n\t\t\t\tj -= gap\n\t\t\tlista[j] = temp\n\t\tgap = gap // 2 # decreases the gap to continue the loop \n\treturn lista\nmaxValor=1000 \t#define el valor maximo de los elementos de la lista\nlargoLista=1000 #define el largo de las listas a ordenar\nveces=100 \t\t#define las veces que se va a hacer el ordenamiento \nacumulaMerge=0 \t#variable para acumular el tiempo de ejecucion del mergesort\nacumulaHeap=0 \t#variable para acumular el tiempo de ejecucion del heapsort",
|
|
|
429
|
+ "detail": "sorting",
|
|
|
430
|
+ "documentation": {}
|
|
|
431
|
+ },
|
|
|
432
|
+ {
|
|
|
433
|
+ "label": "\t\t\tlista[j]",
|
|
|
434
|
+ "kind": 5,
|
|
|
435
|
+ "importPath": "sorting",
|
|
|
436
|
+ "description": "sorting",
|
|
|
437
|
+ "peekOfCode": "\t\t\tlista[j] = temp\n\t\tgap = gap // 2 # decreases the gap to continue the loop \n\treturn lista\nmaxValor=1000 \t#define el valor maximo de los elementos de la lista\nlargoLista=1000 #define el largo de las listas a ordenar\nveces=100 \t\t#define las veces que se va a hacer el ordenamiento \nacumulaMerge=0 \t#variable para acumular el tiempo de ejecucion del mergesort\nacumulaHeap=0 \t#variable para acumular el tiempo de ejecucion del heapsort\nacumulaQuick=0 \t#variable para acumular el tiempo de ejecucion del quicksort\nacumulaShell=0 \t#variable para acumular el tiempo de ejecucion del shellsort",
|
|
|
438
|
+ "detail": "sorting",
|
|
|
439
|
+ "documentation": {}
|
|
|
440
|
+ },
|
|
|
441
|
+ {
|
|
|
442
|
+ "label": "\t\tgap",
|
|
|
443
|
+ "kind": 5,
|
|
|
444
|
+ "importPath": "sorting",
|
|
|
445
|
+ "description": "sorting",
|
|
|
446
|
+ "peekOfCode": "\t\tgap = gap // 2 # decreases the gap to continue the loop \n\treturn lista\nmaxValor=1000 \t#define el valor maximo de los elementos de la lista\nlargoLista=1000 #define el largo de las listas a ordenar\nveces=100 \t\t#define las veces que se va a hacer el ordenamiento \nacumulaMerge=0 \t#variable para acumular el tiempo de ejecucion del mergesort\nacumulaHeap=0 \t#variable para acumular el tiempo de ejecucion del heapsort\nacumulaQuick=0 \t#variable para acumular el tiempo de ejecucion del quicksort\nacumulaShell=0 \t#variable para acumular el tiempo de ejecucion del shellsort\nfor i in range(veces):",
|
|
|
447
|
+ "detail": "sorting",
|
|
|
448
|
+ "documentation": {}
|
|
|
449
|
+ },
|
|
|
450
|
+ {
|
|
|
451
|
+ "label": "\tmergelista",
|
|
|
452
|
+ "kind": 5,
|
|
|
453
|
+ "importPath": "sorting",
|
|
|
454
|
+ "description": "sorting",
|
|
|
455
|
+ "peekOfCode": "\tmergelista = [randint(0,maxValor) for r in range(largoLista)] #creamos una lista con valores al azar\n\theaplista=list(mergelista)\n\tquicklista=list(mergelista)\n\tsearchlista=list(mergelista)\n\tt1 = time.process_time()\t\t\t\t\t#tomamos el tiempo inicial\n\tmergeSort(mergelista,0,len(mergelista)-1) \t#ejecutamos el algoritmo mergeSort\n\tacumulaMerge+=time.process_time() - t1\t\t#acumulamos el tiempo de ejecucion\n\t# print(mergelista)\t\t\t\t\t\t\t#desplegamos la lista\n\tt1 = time.process_time()\t\t\t\t#tomamos el tiempo inicial\n\theapSort(heaplista)\t\t\t\t\t #ejecutamos el algoritmo heapSort",
|
|
|
456
|
+ "detail": "sorting",
|
|
|
457
|
+ "documentation": {}
|
|
|
458
|
+ },
|
|
|
459
|
+ {
|
|
|
460
|
+ "label": "\tt1",
|
|
|
461
|
+ "kind": 5,
|
|
|
462
|
+ "importPath": "sorting",
|
|
|
463
|
+ "description": "sorting",
|
|
|
464
|
+ "peekOfCode": "\tt1 = time.process_time()\t\t\t\t\t#tomamos el tiempo inicial\n\tmergeSort(mergelista,0,len(mergelista)-1) \t#ejecutamos el algoritmo mergeSort\n\tacumulaMerge+=time.process_time() - t1\t\t#acumulamos el tiempo de ejecucion\n\t# print(mergelista)\t\t\t\t\t\t\t#desplegamos la lista\n\tt1 = time.process_time()\t\t\t\t#tomamos el tiempo inicial\n\theapSort(heaplista)\t\t\t\t\t #ejecutamos el algoritmo heapSort\n\tacumulaHeap+=time.process_time() - t1 \t#acumulamos el tiempo de ejecucion\n\t# print(heaplista)\t\t\t\t\t\t#desplegamos la lista\n\tt1 = time.process_time()\t\t\t\t#tomamos el tiempo inicial\n\tquickresult = quickSort(quicklista)\t\t\t\t\t#ejecutamos el algoritmo quickSort",
|
|
|
465
|
+ "detail": "sorting",
|
|
|
466
|
+ "documentation": {}
|
|
|
467
|
+ },
|
|
|
468
|
+ {
|
|
|
469
|
+ "label": "\tt1",
|
|
|
470
|
+ "kind": 5,
|
|
|
471
|
+ "importPath": "sorting",
|
|
|
472
|
+ "description": "sorting",
|
|
|
473
|
+ "peekOfCode": "\tt1 = time.process_time()\t\t\t\t#tomamos el tiempo inicial\n\theapSort(heaplista)\t\t\t\t\t #ejecutamos el algoritmo heapSort\n\tacumulaHeap+=time.process_time() - t1 \t#acumulamos el tiempo de ejecucion\n\t# print(heaplista)\t\t\t\t\t\t#desplegamos la lista\n\tt1 = time.process_time()\t\t\t\t#tomamos el tiempo inicial\n\tquickresult = quickSort(quicklista)\t\t\t\t\t#ejecutamos el algoritmo quickSort\n\tacumulaQuick+=time.process_time() - t1\t#acumulamos el tiempo de ejecucion\n\t# print(quicklista)\t\t\t\t\t\t#desplegamos la lista\n\tt1 = time.process_time()\t\t\t\t#tomamos el tiempo inicial\n\tshellSort(searchlista)\t\t\t\t\t#ejecutamos el algoritmo shellSort",
|
|
|
474
|
+ "detail": "sorting",
|
|
|
475
|
+ "documentation": {}
|
|
|
476
|
+ },
|
|
|
477
|
+ {
|
|
|
478
|
+ "label": "\tt1",
|
|
|
479
|
+ "kind": 5,
|
|
|
480
|
+ "importPath": "sorting",
|
|
|
481
|
+ "description": "sorting",
|
|
|
482
|
+ "peekOfCode": "\tt1 = time.process_time()\t\t\t\t#tomamos el tiempo inicial\n\tquickresult = quickSort(quicklista)\t\t\t\t\t#ejecutamos el algoritmo quickSort\n\tacumulaQuick+=time.process_time() - t1\t#acumulamos el tiempo de ejecucion\n\t# print(quicklista)\t\t\t\t\t\t#desplegamos la lista\n\tt1 = time.process_time()\t\t\t\t#tomamos el tiempo inicial\n\tshellSort(searchlista)\t\t\t\t\t#ejecutamos el algoritmo shellSort\n\tacumulaShell+=time.process_time() - t1\t#acumulamos el tiempo de ejecucion\n\t# print(searchlista)\t\t\t\t\t\t#desplegamos la lista\n# imprimos los resultados\nprint (\"Promedio de tiempo de ejecucion de \"+ str(veces) +\" listas de largo \" + str(largoLista))",
|
|
|
483
|
+ "detail": "sorting",
|
|
|
484
|
+ "documentation": {}
|
|
|
485
|
+ },
|
|
|
486
|
+ {
|
|
|
487
|
+ "label": "\tquickresult",
|
|
|
488
|
+ "kind": 5,
|
|
|
489
|
+ "importPath": "sorting",
|
|
|
490
|
+ "description": "sorting",
|
|
|
491
|
+ "peekOfCode": "\tquickresult = quickSort(quicklista)\t\t\t\t\t#ejecutamos el algoritmo quickSort\n\tacumulaQuick+=time.process_time() - t1\t#acumulamos el tiempo de ejecucion\n\t# print(quicklista)\t\t\t\t\t\t#desplegamos la lista\n\tt1 = time.process_time()\t\t\t\t#tomamos el tiempo inicial\n\tshellSort(searchlista)\t\t\t\t\t#ejecutamos el algoritmo shellSort\n\tacumulaShell+=time.process_time() - t1\t#acumulamos el tiempo de ejecucion\n\t# print(searchlista)\t\t\t\t\t\t#desplegamos la lista\n# imprimos los resultados\nprint (\"Promedio de tiempo de ejecucion de \"+ str(veces) +\" listas de largo \" + str(largoLista))\nprint (\"MergeSort \" + str(acumulaMerge/veces) + \" segundos\")",
|
|
|
492
|
+ "detail": "sorting",
|
|
|
493
|
+ "documentation": {}
|
|
|
494
|
+ },
|
|
|
495
|
+ {
|
|
|
496
|
+ "label": "\tt1",
|
|
|
497
|
+ "kind": 5,
|
|
|
498
|
+ "importPath": "sorting",
|
|
|
499
|
+ "description": "sorting",
|
|
|
500
|
+ "peekOfCode": "\tt1 = time.process_time()\t\t\t\t#tomamos el tiempo inicial\n\tshellSort(searchlista)\t\t\t\t\t#ejecutamos el algoritmo shellSort\n\tacumulaShell+=time.process_time() - t1\t#acumulamos el tiempo de ejecucion\n\t# print(searchlista)\t\t\t\t\t\t#desplegamos la lista\n# imprimos los resultados\nprint (\"Promedio de tiempo de ejecucion de \"+ str(veces) +\" listas de largo \" + str(largoLista))\nprint (\"MergeSort \" + str(acumulaMerge/veces) + \" segundos\")\nprint (\"HeapSort \" + str(acumulaHeap/veces) + \" segundos\")\nprint (\"QuickSort \" + str(acumulaQuick/veces) + \" segundos\")\nprint (\"ShellSort \" + str(acumulaShell/veces) + \" segundos\")",
|
|
|
501
|
+ "detail": "sorting",
|
|
|
502
|
+ "documentation": {}
|
|
|
503
|
+ }
|
|
|
504
|
+]
|
