Install Almond on CoCalc
Author: Samuel Lelièvre
Date: 2019-12-31
License: CC0
What
Almond is a Scala kernel for Jupyter.
Issue for installing on CoCalc:
This is a follow-up to my previous attempt from January 2019.
Install Almond in a CoCalc project
We follow the quick start installation guide:
Check Scala version available on CoCalc:
~$ date -u +"%Y-%m-%dT%H%M%SZ"
2019-12-31T023625Z
~$ scala
Picked up _JAVA_OPTIONS: -Djava.io.tmpdir=/home/user/tmp/ -Xms64m
Welcome to Scala 2.11.12 (OpenJDK 64-Bit Server VM, Java 11.0.4).
Type in expressions for evaluation. Or try :help.
scala> :quit
Given the possible combinations listed at:
we will set SCALA_VERSION=2.11.12 ALMOND_VERSION=0.6.0
.
Follow the guide:
~$ SCALA_VERSION=2.11.12 ALMOND_VERSION=0.6.0
~$ curl -Lo coursier https://git.io/coursier-cli
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0
100 135 100 135 0 0 415 0 --:--:-- --:--:-- --:--:-- 415
100 24825 100 24825 0 0 58002 0 --:--:-- --:--:-- --:--:-- 58002
~$ chmod +x coursier
~$ ./coursier bootstrap \> -r jitpack \
> -i user -I user:sh.almond:scala-kernel-api_$SCALA_VERSION:$ALMOND_VERSION \
> sh.almond:scala-kernel_$SCALA_VERSION:$ALMOND_VERSION \
> -o almond
Picked up _JAVA_OPTIONS: -Djava.io.tmpdir=/home/user/tmp/ -Xms64m
https://repo1.maven.org/maven2/sh/almond/scala-kernel_2.11.12/0.6.0/scala-kernel_2.11.12-0.6.0.pom
100.0% [
...
https://repo1.maven.org/maven2/org/scalameta/trees_2.11/4.1.4/trees_2.11-4.1.4.jar
100.0% [
Wrote /home/user/almond
Last step:
~$ ./almond --install
Picked up _JAVA_OPTIONS: -Djava.io.tmpdir=/home/user/tmp/ -Xms64m
Installed scala kernel under /home/user/.local/share/jupyter/kernels/scala
Check what got installed:
~$ ls -halF ~/.local/share/jupyter/kernels/scala
total 31K
drwxr-xr-x 2 user user 5 Dec 31 02:22 ./
drwxr-xr-x 3 user user 3 Jan 10 2019 ../
-rw-r--r-- 1 user user 211 Dec 31 02:22 kernel.json
-rwxr-xr-x 1 user user 26K Dec 31 02:22 launcher.jar*
-rw-r--r-- 1 user user 2.0K Dec 31 02:22 logo-64x64.png
~$ cat /.local/share/jupyter/kernels/scala/kernel.json
{
"language" : "scala",
"display_name" : "Scala",
"argv" : [
"java",
"-jar",
"/home/user/.local/share/jupyter/kernels/scala/launcher.jar",
"--connection-file",
"{connection_file}"
]
}
~/.local/share/jupyter/kernels/scala$
Try it
Download the official example notebooks:
~$ git clone https://github.com/almond-sh/examples
Cloning into 'examples'...
remote: Enumerating objects: 64, done.
remote: Counting objects: 100% (64/64), done.
remote: Compressing objects: 100% (56/56), done.
remote: Total 498 (delta 21), reused 21 (delta 7), pack-reused 434
Receiving objects: 100% (498/498), 2.09 MiB | 11.97 MiB/s, done.
Resolving deltas: 100% (299/299), done.
And open them in CoCalc.
When we execute cells, it seems to think for a while, but neither execution number nor output appear.
Would be nice to inspect the logs to check what is going on.
Sadly I don't know where to look.