|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": 155, |
| 6 | + "metadata": {}, |
| 7 | + "outputs": [], |
| 8 | + "source": [ |
| 9 | + "from typing import List" |
| 10 | + ] |
| 11 | + }, |
| 12 | + { |
| 13 | + "cell_type": "code", |
| 14 | + "execution_count": 156, |
| 15 | + "metadata": {}, |
| 16 | + "outputs": [], |
| 17 | + "source": [ |
| 18 | + "from typing import List\n", |
| 19 | + "\n", |
| 20 | + "class Solution:\n", |
| 21 | + " def findPrimePairs(self, n: int) -> List[List[int]]:\n", |
| 22 | + " is_prime = [True] * (n + 1)\n", |
| 23 | + " primes = []\n", |
| 24 | + " is_prime[0] = is_prime[1] = False\n", |
| 25 | + " \n", |
| 26 | + " for i in range(2, n + 1):\n", |
| 27 | + " if is_prime[i]:\n", |
| 28 | + " for j in range(i * i, n + 1, i):\n", |
| 29 | + " is_prime[j] = False\n", |
| 30 | + " primes.append(i)\n", |
| 31 | + "\n", |
| 32 | + " res = set()\n", |
| 33 | + " added = {}\n", |
| 34 | + " for prime in primes:\n", |
| 35 | + " complement = n - prime\n", |
| 36 | + " if is_prime[complement]:\n", |
| 37 | + " if prime < complement:\n", |
| 38 | + " added[(prime, complement)] = True\n", |
| 39 | + " res.add((prime, complement))\n", |
| 40 | + " else:\n", |
| 41 | + " added[(complement, prime)] = True\n", |
| 42 | + " res.add((complement, prime))\n", |
| 43 | + " return sorted(res)\n" |
| 44 | + ] |
| 45 | + }, |
| 46 | + { |
| 47 | + "cell_type": "code", |
| 48 | + "execution_count": 159, |
| 49 | + "metadata": {}, |
| 50 | + "outputs": [ |
| 51 | + { |
| 52 | + "data": { |
| 53 | + "text/plain": [ |
| 54 | + "[(3, 7), (5, 5)]" |
| 55 | + ] |
| 56 | + }, |
| 57 | + "execution_count": 159, |
| 58 | + "metadata": {}, |
| 59 | + "output_type": "execute_result" |
| 60 | + } |
| 61 | + ], |
| 62 | + "source": [ |
| 63 | + "Solution().findPrimePairs(10)" |
| 64 | + ] |
| 65 | + }, |
| 66 | + { |
| 67 | + "cell_type": "code", |
| 68 | + "execution_count": null, |
| 69 | + "metadata": {}, |
| 70 | + "outputs": [], |
| 71 | + "source": [] |
| 72 | + }, |
| 73 | + { |
| 74 | + "cell_type": "code", |
| 75 | + "execution_count": null, |
| 76 | + "metadata": {}, |
| 77 | + "outputs": [], |
| 78 | + "source": [ |
| 79 | + "class Solution:\n", |
| 80 | + " def continuousSubarrays(self, nums: List[int]) -> int:\n", |
| 81 | + " " |
| 82 | + ] |
| 83 | + }, |
| 84 | + { |
| 85 | + "cell_type": "code", |
| 86 | + "execution_count": 170, |
| 87 | + "metadata": {}, |
| 88 | + "outputs": [], |
| 89 | + "source": [ |
| 90 | + "from typing import List\n", |
| 91 | + "\n", |
| 92 | + "class Solution:\n", |
| 93 | + " def continuousSubarrays(self, nums: List[int]) -> int:\n", |
| 94 | + " n = len(nums)\n", |
| 95 | + " count = 0\n", |
| 96 | + "\n", |
| 97 | + " for i in range(n):\n", |
| 98 | + " j = i\n", |
| 99 | + " while j < n and abs(nums[j] - nums[i]) <= 2:\n", |
| 100 | + " count += 1\n", |
| 101 | + " j += 1\n", |
| 102 | + "\n", |
| 103 | + " return count\n" |
| 104 | + ] |
| 105 | + }, |
| 106 | + { |
| 107 | + "cell_type": "code", |
| 108 | + "execution_count": 181, |
| 109 | + "metadata": {}, |
| 110 | + "outputs": [], |
| 111 | + "source": [ |
| 112 | + "from typing import List\n", |
| 113 | + "\n", |
| 114 | + "class Solution:\n", |
| 115 | + " def continuousSubarrays(self, nums: List[int]) -> int:\n", |
| 116 | + " count = 0\n", |
| 117 | + " n = len(nums)\n", |
| 118 | + "\n", |
| 119 | + " for i in range(n):\n", |
| 120 | + " for j in range(i, n):\n", |
| 121 | + " if max(nums[i:j+1]) - min(nums[i:j+1]) <= 2:\n", |
| 122 | + " count += 1\n", |
| 123 | + "\n", |
| 124 | + " return count\n" |
| 125 | + ] |
| 126 | + }, |
| 127 | + { |
| 128 | + "cell_type": "code", |
| 129 | + "execution_count": 183, |
| 130 | + "metadata": {}, |
| 131 | + "outputs": [ |
| 132 | + { |
| 133 | + "data": { |
| 134 | + "text/plain": [ |
| 135 | + "8" |
| 136 | + ] |
| 137 | + }, |
| 138 | + "execution_count": 183, |
| 139 | + "metadata": {}, |
| 140 | + "output_type": "execute_result" |
| 141 | + } |
| 142 | + ], |
| 143 | + "source": [ |
| 144 | + "nums = [5,4,2,4]\n", |
| 145 | + "#nums = [1,3,3,3,5]\n", |
| 146 | + "Solution().continuousSubarrays(nums)" |
| 147 | + ] |
| 148 | + }, |
| 149 | + { |
| 150 | + "cell_type": "code", |
| 151 | + "execution_count": null, |
| 152 | + "metadata": {}, |
| 153 | + "outputs": [], |
| 154 | + "source": [] |
| 155 | + }, |
| 156 | + { |
| 157 | + "cell_type": "code", |
| 158 | + "execution_count": 184, |
| 159 | + "metadata": {}, |
| 160 | + "outputs": [], |
| 161 | + "source": [ |
| 162 | + "from typing import List\n", |
| 163 | + "\n", |
| 164 | + "class Solution:\n", |
| 165 | + " def longestAlternatingSubarray(self, nums: List[int], threshold: int) -> int:\n", |
| 166 | + " max_length = 0\n", |
| 167 | + " current_length = 0\n", |
| 168 | + "\n", |
| 169 | + " for i in range(len(nums)):\n", |
| 170 | + " if i > 0 and abs(nums[i] - nums[i - 1]) > threshold:\n", |
| 171 | + " current_length = 0\n", |
| 172 | + " if nums[i] % 2 == 0:\n", |
| 173 | + " current_length += 1\n", |
| 174 | + " else:\n", |
| 175 | + " current_length = 1\n", |
| 176 | + " \n", |
| 177 | + " max_length = max(max_length, current_length)\n", |
| 178 | + "\n", |
| 179 | + " return max_length\n" |
| 180 | + ] |
| 181 | + }, |
| 182 | + { |
| 183 | + "cell_type": "code", |
| 184 | + "execution_count": 269, |
| 185 | + "metadata": {}, |
| 186 | + "outputs": [], |
| 187 | + "source": [ |
| 188 | + "from typing import List\n", |
| 189 | + "\n", |
| 190 | + "class Solution:\n", |
| 191 | + " def longestAlternatingSubarray(self, nums: List[int], threshold: int) -> int:\n", |
| 192 | + " max_length = 0\n", |
| 193 | + " current_length = 0\n", |
| 194 | + " start_point = -1\n", |
| 195 | + " if len(nums)==1:\n", |
| 196 | + " if (nums[0] % 2 == 0) and (nums[0] <= threshold): return 1\n", |
| 197 | + " else: return 0 \n", |
| 198 | + " for i in range(len(nums)-1):\n", |
| 199 | + " #print(i)\n", |
| 200 | + " if (nums[i] % 2 == 0) and (start_point == -1):\n", |
| 201 | + " start_point = 1\n", |
| 202 | + " current_length = 1\n", |
| 203 | + " max_length = max(max_length, current_length)\n", |
| 204 | + " #print(\"asdf\")\n", |
| 205 | + " continue\n", |
| 206 | + " \n", |
| 207 | + " if (nums[i] % 2 != nums[i + 1] % 2) and (nums[i] <= threshold) and (start_point==1):\n", |
| 208 | + " current_length+=1\n", |
| 209 | + " else:\n", |
| 210 | + " current_length = 0\n", |
| 211 | + " start_point = -1\n", |
| 212 | + " \n", |
| 213 | + " max_length = max(max_length, current_length)\n", |
| 214 | + " if (nums[-1] <= threshold):\n", |
| 215 | + " max_length = max(max_length, current_length+1)\n", |
| 216 | + "\n", |
| 217 | + " return max_length\n" |
| 218 | + ] |
| 219 | + }, |
| 220 | + { |
| 221 | + "cell_type": "code", |
| 222 | + "execution_count": 270, |
| 223 | + "metadata": {}, |
| 224 | + "outputs": [ |
| 225 | + { |
| 226 | + "data": { |
| 227 | + "text/plain": [ |
| 228 | + "0" |
| 229 | + ] |
| 230 | + }, |
| 231 | + "execution_count": 270, |
| 232 | + "metadata": {}, |
| 233 | + "output_type": "execute_result" |
| 234 | + } |
| 235 | + ], |
| 236 | + "source": [ |
| 237 | + "nums = [3,2,5,4]; threshold = 5\n", |
| 238 | + "nums = [1,2]; threshold = 2\n", |
| 239 | + "nums = [2,3,4,5]; threshold = 4\n", |
| 240 | + "nums = [1]; threshold = 1\n", |
| 241 | + "#nums = [2]; threshold = 2\n", |
| 242 | + "Solution().longestAlternatingSubarray(nums, threshold)" |
| 243 | + ] |
| 244 | + }, |
| 245 | + { |
| 246 | + "cell_type": "code", |
| 247 | + "execution_count": null, |
| 248 | + "metadata": {}, |
| 249 | + "outputs": [], |
| 250 | + "source": [] |
| 251 | + } |
| 252 | + ], |
| 253 | + "metadata": { |
| 254 | + "kernelspec": { |
| 255 | + "display_name": "base", |
| 256 | + "language": "python", |
| 257 | + "name": "python3" |
| 258 | + }, |
| 259 | + "language_info": { |
| 260 | + "codemirror_mode": { |
| 261 | + "name": "ipython", |
| 262 | + "version": 3 |
| 263 | + }, |
| 264 | + "file_extension": ".py", |
| 265 | + "mimetype": "text/x-python", |
| 266 | + "name": "python", |
| 267 | + "nbconvert_exporter": "python", |
| 268 | + "pygments_lexer": "ipython3", |
| 269 | + "version": "3.9.13" |
| 270 | + }, |
| 271 | + "orig_nbformat": 4 |
| 272 | + }, |
| 273 | + "nbformat": 4, |
| 274 | + "nbformat_minor": 2 |
| 275 | +} |
0 commit comments