Open-Discord / EPS /Help /Everyone's Programming Server - help - Linear time in python! [1048653805237047366].json
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"content": "In terms of optimizing python code, can someone help me get my code to linear time? The run time has to be within 3 seconds but my code isn’t",
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"content": "Heres my code!",
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"content": "```py\nimport time # import time module\nstart = time.time() # start time\narr = list(map(int, input().split(\" \")))\n\nst = time.time() # start time\ndiff = 10 ** 9\nfor i in range(len(arr) - 1):\n max_ele = min_ele = arr[i]\n for j in range(i + 1, len(arr)):\n max_ele = max(max_ele, arr[j])\n min_ele = min(min_ele, arr[j])\n if max_ele - min_ele <= diff:\n diff = max_ele - min_ele\n\nprint(diff)\n# end = time.time() # end time\n# execution_time = end - start # in seconds\n# print(execution_time) # print execution time```",
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"content": "Alright, so for the sublist, there would be no scenario where you would want it to be bigger than 2, right?",
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"content": "and these two elements have to be next to each other, so unless I'm misunderstanding something, you just check the difference in value between the current value in loop, and next one, and find the smallest one",
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"content": "```py\nimport time # import time module\n\narr = list(map(int, input().split(\" \")))\n\nstart = time.time() # start time\ndiff = 10 ** 9\n\nfor i in range(len(arr)):\n # if the current element is the last element\n if i+1 == len(arr):\n break\n # find difference between current element and next element\n temp_diff = arr[i]-arr[i+1]\n # absolute value the temp_diff\n if temp_diff < 0:\n temp_diff = -temp_diff\n if temp_diff < diff:\n diff = temp_diff\n\nprint(diff)\n#end = time.time() # end time\n#execution_time = end - start # in seconds\n#print(execution_time) # print execution time\n```\nthis seems too simple though, I feel like I'm missing something in the problem, especially since it mentions sublists, even though if I am understanding correctly, there is no point in having a sublist with more than 2 problems?",
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"content": "@Hz23 are there any sample input/outputs with the problem?",
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"content": "also take note, in your code, the start time is before the input, so typing in the input counts as the time. the start time should instead be after the input",
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"content": "Yes there is, sorry I will provide them right now",
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"content": "To see if it fits the time limit constraint, ig we could try inputting the max value here, 500000",
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"content": "working fine for me",
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"content": "yours isn't, it has a nested loop, then min() and max() which are iirc also loops internally",
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"content": "yeah he probably did, does that alot lol\ncould we try the max constraint and see if it fits the 3 second time frame",
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"content": "but yea , not too sure",
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"content": "```py\nimport time # import time module\n\narr = [1]*500000\n\nstart = time.time() # start time\ndiff = 10 ** 9\n\nfor i in range(len(arr)):\n # if the current element is the last element\n if i+1 == len(arr):\n break\n # find difference between current element and next element\n temp_diff = arr[i]-arr[i+1]\n # absolute value the temp_diff\n if temp_diff < 0:\n temp_diff = -temp_diff\n if temp_diff < diff:\n diff = temp_diff\n\nprint(diff)\nend = time.time() # end time\nexecution_time = end - start # in seconds\nprint(execution_time) # print execution time\n```\nrun this, this will go through a list with 500k elements",
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"content": "on my computer, done in 0.8 seconds, and gave correct output 0",
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"content": "it works, thanks",
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"content": "i made an alternative solution as well here, i (think?) its linear time (same problem)\n```py\nimport time\n\narr = list(map(int, input().split(\" \")))\n\nst = time.time()\ndiff = 10**9\nfor i in range(len(arr)-1):\n curr_diff = abs(arr[i] - arr[i+1])\n if curr_diff < diff:\n diff = curr_diff\n \nprint(diff) ```",
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"content": "works on the sample cases",
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"content": "yup, seems like that would work also \\:)",
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"content": "test it though obviously",
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"content": "I like the `len(arr)-1` part, its clever",
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"content": "im trying to figure out how, i see you somehow ran the previous code through a list with 500k elements",
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"content": "trying to figure out how id do that with this here",
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"content": "```py\nimport time\n\narr = [1]*500000\n\nst = time.time()\ndiff = 10**9\nfor i in range(len(arr)-1):\n curr_diff = abs(arr[i] - arr[i+1])\n if curr_diff < diff:\n diff = curr_diff\n \nprint(diff) \n```",
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"content": "basically replaces the input with a list of 500k `1`s",
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"content": "that kind of cool shorthand syntax you'll pick up with time. the more important skill is problem solving, which you show here, good job \\:)",
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"content": "i wrote up a solution for this problem as well",
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"content": "was hoping someone can take a look at it, for any suggestions or such",
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"content": "objective is to ensure it passes the time constraint's \uD83D\uDE05",
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"content": "```py\nn, m = list(map(int, input().split())) \nadj_matrix = [[0]*n for i in range(n)] \n \nfor line in range(m): \n a, b = list(map(int, input().split())) \n adj_matrix[a][b] = 1 \n adj_matrix[a][a] = 1 \n \n \ncounts = {i: [] for i in range(n)} \nfor a in range(n): \n for b in range(n): \n if a == b: \n if a not in counts[a]: \n counts[b].append(a) \n else: \n if adj_matrix[a][b] == 1: \n if a not in counts[b]: \n counts[b].append(a) \n for c in range(n): \n if adj_matrix[b][c] == 1: \n if a not in counts[c]: \n counts[c].append(a) \n \n# print(counts) \ncounts = [(i, len(counts[i])) for i in counts] \ncounts.sort(key=lambda x: x[1], reverse=True) \nverts = [counts[0][0]] \nn = counts[0][1] \nfor c, l in counts[1:]: \n if l != n: \n break \n else: \n verts.append(c) \n \nprint(n) \nfor vert in verts: \n print(vert, end=\" \") ```",
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