Difference between revisions of "Sum Distances To Origin With Pattern Matching Compared To Java Assignment"
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Revision as of 02:27, 9 September 2022
Contents
Motivation
Compare implementations in Java and SML to highlight the crispness of type inference and pattern matching.
Previous Warmup
This warmup is a variation of the Sum Distances To Origin with Functions warmup.
Background
SML
Java
Code To Implement
Java
Note: you will need to complete the ImList<E> exercise before testing the Java portion of this assignment.
| class: | SumDistancesToOrigin.java |  |
| methods: | sumDistancesToOrigin | |
| package: | distance.warmup | |
| source folder: | src/main/java |
public static double sumDistancesToOrigin(ImList<ImTuple2<Double, Double>> xys)
SML
| file: | src/main/sml/warmup_sum_distances_to_origin_pattern/sum_distances_to_origin.sml |  |
| functions: | sum_distances_to_origin |
fun sum_distances_to_origin(xys : (real * real) list)
Test
Java
| class: | SumDistancesToOriginTestSuite.java |  |
| package: | distance.warmup | |
| source folder: | src/test/java |
SML
| source folder: | src/test/sml/warmup_sum_distances_to_origin_pattern |
| how to run with CM.make verbosity off: | sml -Ccm.verbose=false run_sum_distances_to_origin_pattern_testing.sml |
| how to run with CM.make verbosity on: | sml run_sum_distances_to_origin_pattern_testing.sml |
note: ensure that you have removed all printing to receive credit for any assignment.
