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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.commons.functor.example.kata.four;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.Reader;
import org.apache.commons.functor.BinaryFunction;
import org.apache.commons.functor.Function;
import org.apache.commons.functor.adapter.BinaryFunctionFunction;
import org.apache.commons.functor.core.IsNull;
import org.apache.commons.functor.core.LeftIdentity;
import org.apache.commons.functor.core.RightIdentity;
import org.apache.commons.functor.core.algorithm.FoldLeft;
import org.apache.commons.functor.core.comparator.IsLessThan;
import org.apache.commons.functor.core.composite.Composite;
import org.apache.commons.functor.core.composite.Conditional;
import org.apache.commons.functor.core.composite.ConditionalBinaryFunction;
import org.apache.commons.functor.example.kata.one.Subtract;
import org.apache.commons.functor.example.lines.Lines;
import org.apache.commons.functor.generator.FilteredGenerator;
/**
* The real workhorse of this Kata excercise.
*
* DataMunger wires together various functors and exposes them
* as static utility methhods.
* @version $Revision$ $Date$
*/
public class DataMunger {
/** See {@link #process(Reader,int,int,int)} */
public static final Object process(final InputStream file, final int selected, final int col1, final int col2) {
return process(new InputStreamReader(file),selected,col1,col2);
}
/**
* Processes each line of the given Reader, returning the <i>selected</i> column for the
* line where the absolute difference between the integer value of <i>col1</i> and <i>col2</i>
* is least. Note that lines that don't begin with an Integer are ignored.
*/
public static final Object process(final Reader file, final int selected, final int col1, final int col2) {
return NthColumn.instance(selected).evaluate(
new FoldLeft<String>(lesserSpread(col1, col2)).evaluate(new FilteredGenerator<String>(Lines.from(file),
Composite.predicate(IsInteger.instance(),NthColumn.instance(0)))));
}
/**
* A BinaryFunction that will calculate the absolute
* difference between col1 and col2 in the given
* String arguments, and return the argument
* whose difference is smallest.
*/
private static final BinaryFunction<String, String, String> lesserSpread(final int col1, final int col2) {
return new ConditionalBinaryFunction<String, String, String>(
IsNull.<String>left(), // if left is null
RightIdentity.<String, String>function(), // return right
Conditional.function( // else return the parameter with the least spread
Composite.predicate( // if left is less than right
IsLessThan.instance(),
absSpread(col1,col2),
absSpread(col1,col2)),
LeftIdentity.<String, String>function(), // return left
RightIdentity.<String, String>function() // else return right
)
);
}
/**
* A Function that returns the absolute value of the difference
* between the Integers stored in the <i>col1</i> and <i>col2</i>th
* whitespace delimited columns of the input line (a String).
*/
private static Function<String, Integer> absSpread(final int col1, final int col2) {
return Composite.function(
Abs.instance(),
new BinaryFunctionFunction<String, Number>(
Composite.function(
Subtract.instance(),
Composite.function(ToInteger.instance(),NthColumn.instance(col1)),
Composite.function(ToInteger.instance(),NthColumn.instance(col2)))
));
}
}