Difference between revisions of "Sum Distances To Origin With Pattern Matching Compared To Java Assignment"

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=Motivation=
 
=Motivation=
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Compare implementations in Java and SML to highlight what pattern matching provides.
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Compare implementations in Java and SML to highlight the crispness of type inference and pattern matching.
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-->
 
  
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[[File:Pythagorean.svg|thumb]]
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=Previous Warmup=
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This warmup is a variation of the [[Sum_Distances_To_Origin_With_Functions_Assignment|Sum Distances To Origin with Functions]] warmup.
  
 
=Background=
 
=Background=
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[https://en.wikipedia.org/wiki/Pythagorean_theorem Pythagorean theorem]
 
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The distance of a point (x,y) from the origin:
 
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<math>distance = \sqrt {x^2 + y^2}</math>
 
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==SML==
 
==SML==
 
[https://smlfamily.github.io/Basis/math.html#SIG:MATH.sqrt:VAL Math.sqrt(x)]
 
[https://smlfamily.github.io/Basis/math.html#SIG:MATH.sqrt:VAL Math.sqrt(x)]
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==SML==
 
==SML==
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{{SMLToImplement|sum_distances_to_origin|sum_distances_to_origin|warmup_sum_distances_to_origin_pattern}}
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Fall 2022 Note: if attempted without pattern matching, you may receive an unresolved flex record error:
 
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../../../main/sml/warmup_sum_distances_to_origin/sum_distances_to_origin.sml:4.2-21.56 Error: unresolved flex record (need to know the names of ALL the fields
 
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in this context)
 
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  type: {1:real, 2:real; 'Z}
 
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this can be solved by using pattern matching or specifying the type of the parameter xys:
 
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fun sum_distances_to_origin(xys : (real * real) list)
 
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{{SMLToImplement|sum_distances_to_origin|sum_distances_to_origin|warmup_sum_distances_to_origin}}
 
  
 
[https://smlfamily.github.io/Basis/math.html#SIG:MATH.sqrt:VAL Math.sqrt(v)]
 
[https://smlfamily.github.io/Basis/math.html#SIG:MATH.sqrt:VAL Math.sqrt(v)]
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==SML==
 
==SML==
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{{SMLUnitTesting|run_sum_distances_to_origin_testing|warmup_sum_distances_to_origin}}
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{{SMLUnitTesting|run_sum_distances_to_origin_pattern_testing|warmup_sum_distances_to_origin_pattern}}

Latest revision as of 14:33, 12 September 2022

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

Math.sqrt(x)

Java

Math.sqrt(x)

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 Java.png
methods: sumDistancesToOrigin
package: distance.warmup
source folder: src/main/java

Math.sqrt(v) 

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 Smlnj-logo.png
functions: sum_distances_to_origin

Math.sqrt(v) 

fun sum_distances_to_origin(xys : (real * real) list)

Test

Java

class: SumDistancesToOriginTestSuite.java Junit.png
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.

SML Error Messages

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