mcpower

Hi, I'm mcpower. I've done Advent of Code seriously for two years now in Python, placing 9th in 2018 and 12th in 2017. This year, I'm taking a break from aiming for the leaderboard - while it's fun and all, it is a bit stressful at times (the good kind of stress, though!). As such, I'd like to share a few tips for anyone wanting to aim for the leaderboard.

This is everything that worked for me. Your mileage may vary, though - don't take this as gospel, see what works for you.

Go fast

Go fast.

ZijiaLewisLu

In most of deep learning projects, the training scripts always start with lines to load in data, which can easily take a handful minutes. Only after data ready can start testing my buggy code. It is so frustratingly often that I wait for ten minutes just to find I made a stupid typo, then I have to restart and wait for another ten minutes hoping no other typos are made.

In order to make my life easy, I devote lots of effort to reduce the overhead of I/O loading. Here I list some useful tricks I found and hope they also save you some time.

1. use Numpy Memmap to load array and say goodbye to HDF5.

   I used to relay on HDF5 to read/write data, especially when loading only sub-part of all data. Yet that was before I realized how fast and charming Numpy Memmapfile is. In short, Memmapfile does not load in the whole array at open, and only later "lazily" load in the parts that are required for real operations.

Sometimes I may want to copy the full array to memory at once, as it makes later operations

scmx

How to get a fancier bash prompt PS1 inside a docker container

Today I wanted to make a recording of me running some commands inside a docker-container.

❯ docker-compose run app bash
root@e9bb2af4dc11:/usr/local/go/src/example.com/dev/project#

Needless to say it looked a bit bland with no colors and a long prompt that prevents me from recording a small terminal and show the full commands I'm

heathermiller

This cheat sheet originated from the forum, credits to Laurent Poulain. We copied it and changed or added a few things.

Evaluation Rules

• Call by value: evaluates the function arguments before calling the function
• Call by name: evaluates the function first, and then evaluates the arguments if need be

    def example = 2      // evaluated when called
    val example = 2      // evaluated immediately

myusuf3

To remove a submodule you need to:

• Delete the relevant section from the .gitmodules file.
• Stage the .gitmodules changes git add .gitmodules
• Delete the relevant section from .git/config.
• Run git rm --cached path_to_submodule (no trailing slash).
• Run rm -rf .git/modules/path_to_submodule (no trailing slash).
• Commit git commit -m "Removed submodule "
• Delete the now untracked submodule files rm -rf path_to_submodule