%%MatrixMarket matrix coordinate ***real*** general
%
32738 2700 2286884
This line 13406 1562 6512772 tells the matrix reader that your matrix has 13406 rows, 1562 columns and 6512772 non-zeros values.
import 'package:flutter/material.dart'; | |
/// Extension methods to simplify theming accessibility. | |
/// | |
/// Usage: | |
/// ```dart | |
/// ... | |
/// Icon(color: context.kTheme.accent500) | |
/// ``` | |
extension ThemeBuildContextX on BuildContext { |
# From shit-box | |
# Need to modify the host doing the flashing | |
sudo vi /etc/default/nfs-kernel-server | |
RPCMOUNTDOPTS="--manage-gids --no-nfs-version 4" | |
sudo reboot | |
sudo apt install -y qemu-user-static make git-core build-essential bc flex bison ncurses-dev libssl-dev gcc-aarch64-linux-gnu | |
export JETSON_VERSION=36.3 |
i386 : iPhone Simulator | |
x86_64 : iPhone Simulator | |
arm64 : iPhone Simulator | |
iPhone1,1 : iPhone | |
iPhone1,2 : iPhone 3G | |
iPhone2,1 : iPhone 3GS | |
iPhone3,1 : iPhone 4 | |
iPhone3,2 : iPhone 4 GSM Rev A | |
iPhone3,3 : iPhone 4 CDMA | |
iPhone4,1 : iPhone 4S |
In the last years I've been asked multiple times about the comparison between raylib and SDL libraries. Unfortunately, my experience with SDL was quite limited so I couldn't provide a good comparison. In the last two years I've learned about SDL and used it to teach at University so I feel that now I can provide a good comparison between both.
Hope it helps future users to better understand this two libraries internals and functionality.
<!DOCTYPE html> | |
<html> | |
<head> | |
<title>Upload your files</title> | |
</head> | |
<body> | |
<form enctype="multipart/form-data" action="upload.php" method="POST"> | |
<p>Upload your file</p> | |
<input type="file" name="uploaded_file"></input><br /> | |
<input type="submit" value="Upload"></input> |
#!/usr/bin/env swift | |
// | |
// PrintBootCampESDInfo.swift | |
// | |
// Created by nuomi1 on 8/5/18. | |
// Copyright © 2018年 nuomi1. All rights reserved. | |
// | |
import Foundation |
I liked the way Grokking the coding interview organized problems into learnable patterns. However, the course is expensive and the majority of the time the problems are copy-pasted from leetcode. As the explanations on leetcode are usually just as good, the course really boils down to being a glorified curated list of leetcode problems.
So below I made a list of leetcode problems that are as close to grokking problems as possible.
import tiktoken | |
import langdetect | |
T = tiktoken.get_encoding("o200k_base") | |
length_dict = {} | |
for i in range(T.n_vocab): | |
try: | |
length_dict[i] = len(T.decode([i])) | |
except: |