A set of SI, Imperial and US Unit objects that are employed by Measure objects having value, units and error(tbd) and act as operands in most calculations. Some prefix and physical constants included where needed. Some use of unicode and operator overload.
NB. Feedback in general and on the [
zef install Physics::Measure
See https://github.com/p6steve/perl6-Physics-Measure-JupyterBinder - worked examples for Jupyter and Binder
use Physics::Measure; use Physics::Measure::Unit; #Instances the usual way my Unit $u .=new(name => 'm', unitsof => 'Distance'); #Unit m my Distance $a .=new(value => 10, units => $u); #Distance 10 m #Introducing the libra operator ♎️ as shorthand to declare and load my $b ♎️ '50 m'; #Distance 50 m $b ♎️ '3 yards'; #Distance 3 yards #The usual arithmetic operators < + - * / ** > and () brackets just work my $c = $a + $b; #Distance 12.7432 m #Time is a perl6 Duration my $t ♎️ '42 s'; #Time 42 s #Area, Speed, Frequency, Volume my $ab = $a * $b; #Area 27.432 m2 my $s = $a / $t; #Speed 0.238095 m.s-1 my $f = 1 / $t; #Frequency 0.02381 Hz my $v = $b ** 3; #Volume 27 yards3 #Unit Conversion with the .in method $a.=in: <m>; #Distance 2.7432 m $s.=in: <mph>; #Speed 0.532604 mph #Normalization with the .norm method my $p ♎️ '27 kg m^2 / s^3'; #Power 27 kg m^2 / s^3 $p.=norm; #Power 27 W #Measure instances can be compared and tested as numbers or strings $a cmp $c; #Less $a == $a.in: <cm>; #True (i.e. 10 m == 1000 cm) $a eq $b; #False (i.e. different units) #Colloquial terms and unicode superscripts can be used #square, sq, squared, cubic, cubed #x¹ x² x³ x⁴ and x⁻¹ x⁻² x⁻³ x⁻⁴ say "$u $a $b $c $t $ab $s $f $v $p";
Testing on Jupyter / Binder
- Jupyter Notebook local
- Clone this repo
- Do the Quick Start for Brian Duggan perl6 jupyter-notebook at https://github.com/bduggan/p6-jupyter-kernel
- From the root directory run jupyter-notebook
- Jupyter Notebook hosted on Binder
- Please try https://github.com/p6steve/perl6-Physics-Measure-JupyterBinder - worked examples for Jupyter and Binder - more stable release usually with much faster load time than this repo (although this will build by virtue of Docker file provided)
- If you are the first to build e.g. a new version this can take 30 mins or so and the Binder browser UI may lose hope - please just be patient (do not reload as this restarts the build) ...
- Brian Duggan's perl6 jupyter-notebook at https://github.com/bduggan/p6-jupyter-kernel