| import click | |
| import torch | |
| import torch.autograd | |
| import torch.nn.functional as F | |
| from torch.autograd import Variable | |
| import os | |
| import random | |
| import math |
| // Sample custom iterator. | |
| // By perfectly.insane (http://www.dreamincode.net/forums/index.php?showuser=76558) | |
| // From: http://www.dreamincode.net/forums/index.php?showtopic=58468 | |
| #include <iostream> | |
| #include <vector> | |
| #include <algorithm> | |
| #include <iterator> | |
| #include <cassert> |
| import matplotlib.pyplot as plt | |
| import matplotlib.patches as mpatches | |
| import matplotlib.lines as mlines | |
| ## All plt.rcParams lines are defined globally for all the following plots. | |
| # Use latex to produce it and use the ACM default sans-serif package | |
| plt.rcParams['text.usetex'] = True | |
| plt.rcParams['text.latex.preamble'] = r'\usepackage{libertine}\usepackage{fixltx2e}' | |
| plt.rcParams['font.family'] = "sans-serif" |
| package partition_problem; | |
| public class DynamicProgrammingPartitionProblemSolver implements ThePartitionProblemSolver { | |
| public int[] solve(int[] books, int k) { | |
| assert k > 0 && books.length >= k; | |
| // prefix sums: sum[k] = books[i..k] | |
| final int[] sum = new int[books.length]; |
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