upgrded to use ZPM for embedded Python
This is a first attempt to use Embedded Python in IRIS
The Python code is adapted from solutions for Advent of Code 2020 contest.
Test data are all input to my personal challenge.
Clone/git pull this repo into any local directory
$ git clone https://github.com/rcemper/try_embedded_python
Open the terminal in this directory and run:
$ docker-compose build
this may take some time to complete
Run the IRIS container with this project:
$ docker-compose up -d
Using IRIS terminal:
$ docker-compose exec iris iris session iris "##class(rccpy.AoC20).Run()" Welcome to embedded Python Demo select day as described on https://adventofcode.com/ day 0 to exit day (1..25) : +++++ starting : day1 +++++++++ select part (1,2,*=all,0=skip) [*] :1 part 1: 181044 select part (1,2,*=all,0=skip) [*] :2 part 2: 82660352 select part (1,2,*=all,0=skip) [*] :0 +++++++++ done : day1 +++++++++ day (1..25) : +++++ starting : day2 +++++++++ select part (1,2,*=all,0=skip) [*] :* part 1: 456 part 2: 308 +++++++++ done : day2 +++++++++ day (1..25) :
Directory .stream/ contains all my input files and some public test data.
If you want to use your personal input you should replace them as 1 file by day.
e.g. input01.txt, input02.txt,........ ,input25.txt exactly as downloaded from AOC2020.
%SYS.Python.html is a preliminary class docu to see available functions
run time: for most tests replies are pretty immediate.
But a few tests take quite long time for calculations before showing a reaction.
Don't get nervous for day 11, 15!!, 17, 19, 22, 23.