Scala library to model physical quantities respecting dimensional analysis
The objective is twofold
- group in a single class all physical quantities and their relationship (like speed is ratio of length by duration),
- perform at compilation time checks on physical dimensions (like impossibility to add a length and a speed)
Defining a scalar or vector quantity
>>> import com.github.bruneli.phyqty.ScalarQuantity._
>>> import com.github.bruneli.phyqty.VectorQuantity._
>>> import com.github.bruneli.phyqty.PhyUnit._
>>> val x0 = vector(1.56(m), 2.5(cm))
>>> val t0 = 2(min) // scalar quantity
>>> val x1 = vector(20.8(m), -39.5(m))
>>> val t1 = t0 * 2
>>> val dx = x1 - x0
>>> dx.magnitude // distance
>>> val dt = t1 - t0
>>> val v = dx / dt
>>> val m = 50(kg)
>>> val Ekin = m * v * v / 2
Creating custom units
>>> import com.github.bruneli.phyqty.ScalarQuantity._
>>> import com.github.bruneli.phyqty.PhyUnit._
>>> import com.github.bruneli.phyqty.DecimalMultiplier._
>>> val kW = kilo(watt)
>>> val kWh = kW * h
>>> 1(kWh).in(J)
Working with collection of scalar or vector quantities (measurements)
>>> import com.github.bruneli.phyqty.ScalarQuantity._
>>> import com.github.bruneli.phyqty.PhyUnit._
>>> import com.github.bruneli.phyqty.ScalarQuantities
>>> import com.github.bruneli.phyqty.VectorQuantities
>>> val dt = 100(ms)
>>> val x = ScalarQuantities(2(m), 3.5(m), 5(m), 10(m))
>>> val dx = x.diff(1)
>>> val y = ScalarQuantities(4(m), -2.5(m), -50(m), -25(m))
>>> val positions = VectorQuantities(x, y)
>>> val v = positions.diff(1).dropna / dt
>>> val meanSpeed = v.mean.magnitude
>>> val averageSpeed = (positions.last - positions.head) / (positions.length - 1) / dt
Add the following dependency to your build.sbt
libraryDependencies += "com.github.bruneli.phyqty" %% "phyqty" % "1.0"
Add the following dependency to your pom file
<dependency>
<groupId>com.github.bruneli.phyqty</groupId>
<artifactId>phyqty_2.11</artifactId>
<version>1.0</version>
</dependency>
