patemotter

import pandas as pd
import numpy as np

timings = pd.read_csv("../data/all_results_janus_single_node_1-14-17.csv")
timings.columns = ['np', 'matrix', 'solver', 'prec', 'status', 'time', 'iters', 'resid']
properties = pd.read_csv('../data/uflorida-features.csv', header=0)
properties.columns = ['rows', 'cols', 'min_nnz_row', 'row_var', 'col_var',
                      'diag_var', 'nnz', 'frob_norm', 'symm_frob_norm',
                      'antisymm_frob_norm', 'one_norm', 'inf_norm', 'symm_inf_norm',
                      'antisymm_inf_norm', 'max_nnz_row', 'trace', 'abs_trace',

patemotter

class Solution {
public:
    /**
     * @param nums an integer array and all positive numbers, no duplicates
     * @param target an integer
     * @return an integer
     */
    int backPackVI(vector<int>& nums, int target) {
        vector<int> dp(target + 1, 0);
        dp[0] = 1;

patemotter

#include "tpetra_solvers.h"

int symm = 0;

int main(int argc, char *argv[]) {
    std::string outputDir, outputFile;
    if (argv[1] == NULL) {
        std::cout << "No input file was specified" << std::endl;
        std::cout << "Usage: ./tpetra_solvers <.mtx file> ['-d output_dir' | '-f output_file']" << std::endl;
        return -1;

patemotter

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