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<!DOCTYPE chapter SYSTEM "chapter.dtd">
<chapter>
<header>
<copyright>
<year>2003</year><year>2016</year>
<holder>Ericsson AB. All Rights Reserved.</holder>
</copyright>
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Licensed under the Apache License, Version 2.0 (the "License");
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<title>List Comprehensions</title>
<prepared></prepared>
<docno></docno>
<date></date>
<rev></rev>
<file>list_comprehensions.xml</file>
</header>
<section>
<title>Simple Examples</title>
<p>This section starts with a simple example, showing a generator and a filter:</p>
<pre>
> <input>[X || X <- [1,2,a,3,4,b,5,6], X > 3].</input>
[a,4,b,5,6]</pre>
<p>This is read as follows: The list of X such that X is taken from the list
<c>[1,2,a,...]</c> and X is greater than 3.</p>
<p>The notation <c><![CDATA[X <- [1,2,a,...]]]></c> is a generator and
the expression <c>X > 3</c> is a filter.</p>
<p>An additional filter, <c>integer(X)</c>, can be added to restrict
the result to integers:</p>
<pre>
> <input>[X || X <- [1,2,a,3,4,b,5,6], integer(X), X > 3].</input>
[4,5,6]</pre>
<p>Generators can be combined. For example, the Cartesian product
of two lists can be written as follows:</p>
<pre>
> <input>[{X, Y} || X <- [1,2,3], Y <- [a,b]].</input>
[{1,a},{1,b},{2,a},{2,b},{3,a},{3,b}]</pre>
</section>
<section>
<title>Quick Sort</title>
<p>The well-known quick sort routine can be written as follows:</p>
<code type="none"><![CDATA[
sort([Pivot|T]) ->
sort([ X || X <- T, X < Pivot]) ++
[Pivot] ++
sort([ X || X <- T, X >= Pivot]);
sort([]) -> [].]]></code>
<p>The expression <c><![CDATA[[X || X <- T, X < Pivot]]]></c> is the list of
all elements in <c>T</c> that are less than <c>Pivot</c>.</p>
<p><c><![CDATA[[X || X <- T, X >= Pivot]]]></c> is the list of all elements in
<c>T</c> that are greater than or equal to <c>Pivot</c>.</p>
<p>A list sorted as follows:</p>
<list type="bulleted">
<item>The first element in the list is isolated
and the list is split into two sublists.</item>
<item>The first sublist contains
all elements that are smaller than the first element in
the list.</item>
<item>The second sublist contains all elements that are greater
than, or equal to, the first element in the list.</item>
<item>Then the sublists are sorted and the results are combined.</item>
</list>
</section>
<section>
<title>Permutations</title>
<p>The following example generates all permutations of
the elements in a list:</p>
<code type="none"><![CDATA[
perms([]) -> [[]];
perms(L) -> [[H|T] || H <- L, T <- perms(L--[H])].]]></code>
<p>This takes <c>H</c> from <c>L</c> in all possible ways.
The result is the set of all lists <c>[H|T]</c>, where <c>T</c>
is the set of all possible permutations of <c>L</c>, with
<c>H</c> removed:</p>
<pre>
> <input>perms([b,u,g]).</input>
[[b,u,g],[b,g,u],[u,b,g],[u,g,b],[g,b,u],[g,u,b]]</pre>
</section>
<section>
<title>Pythagorean Triplets</title>
<p>Pythagorean triplets are sets of integers <c>{A,B,C}</c> such
that <c>A**2 + B**2 = C**2</c>.</p>
<p>The function <c>pyth(N)</c> generates a list of all integers
<c>{A,B,C}</c> such that <c>A**2 + B**2 = C**2</c> and where
the sum of the sides is equal to, or less than, <c>N</c>:</p>
<code type="none"><![CDATA[
pyth(N) ->
[ {A,B,C} ||
A <- lists:seq(1,N),
B <- lists:seq(1,N),
C <- lists:seq(1,N),
A+B+C =< N,
A*A+B*B == C*C
].]]></code>
<pre>
> <input>pyth(3).</input>
[].
> <input>pyth(11).</input>
[].
> <input>pyth(12).</input>
[{3,4,5},{4,3,5}]
> <input>pyth(50).</input>
[{3,4,5},
{4,3,5},
{5,12,13},
{6,8,10},
{8,6,10},
{8,15,17},
{9,12,15},
{12,5,13},
{12,9,15},
{12,16,20},
{15,8,17},
{16,12,20}]</pre>
<p>The following code reduces the search space and is more
efficient:</p>
<code type="none"><![CDATA[
pyth1(N) ->
[{A,B,C} ||
A <- lists:seq(1,N-2),
B <- lists:seq(A+1,N-1),
C <- lists:seq(B+1,N),
A+B+C =< N,
A*A+B*B == C*C ].]]></code>
</section>
<section>
<title>Simplifications With List Comprehensions</title>
<p>As an example, list comprehensions can be used to simplify some
of the functions in <c>lists.erl</c>:</p>
<code type="none"><![CDATA[
append(L) -> [X || L1 <- L, X <- L1].
map(Fun, L) -> [Fun(X) || X <- L].
filter(Pred, L) -> [X || X <- L, Pred(X)].]]></code>
</section>
<section>
<title>Variable Bindings in List Comprehensions</title>
<p>The scope rules for variables that occur in list
comprehensions are as follows:</p>
<list type="bulleted">
<item>All variables that occur in a generator pattern are
assumed to be "fresh" variables.</item>
<item>Any variables that are defined before the list
comprehension, and that are used in filters, have the values
they had before the list comprehension.</item>
<item>Variables cannot be exported from a list comprehension.</item>
</list>
<p>As an example of these rules, suppose you want to write
the function <c>select</c>, which selects certain elements from
a list of tuples. Suppose you write
<c><![CDATA[select(X, L) -> [Y || {X, Y} <- L].]]></c> with the intention
of extracting all tuples from <c>L</c>, where the first item is
<c>X</c>.</p>
<p>Compiling this gives the following diagnostic:</p>
<code type="none">
./FileName.erl:Line: Warning: variable 'X' shadowed in generate</code>
<p>This diagnostic warns that the variable <c>X</c> in
the pattern is not the same as the variable <c>X</c>
that occurs in the function head.</p>
<p>Evaluating <c>select</c> gives the following result:</p>
<pre>
> <input>select(b,[{a,1},{b,2},{c,3},{b,7}]).</input>
[1,2,3,7]</pre>
<p>This is not the wanted result. To achieve the desired
effect, <c>select</c> must be written as follows:</p>
<code type="none"><![CDATA[
select(X, L) -> [Y || {X1, Y} <- L, X == X1].]]></code>
<p>The generator now contains unbound variables and the test has
been moved into the filter.</p>
<p>This now works as expected:</p>
<pre>
> <input>select(b,[{a,1},{b,2},{c,3},{b,7}]).</input>
[2,7]</pre>
<p>A consequence of the rules for importing variables into a
list comprehensions is that certain pattern matching operations
must be moved into the filters and cannot be written directly
in the generators.</p>
<p>To illustrate this, do <em>not</em> write as follows:</p>
<code type="none"><![CDATA[
f(...) ->
Y = ...
[ Expression || PatternInvolving Y <- Expr, ...]
...]]></code>
<p>Instead, write as follows:</p>
<code type="none"><![CDATA[
f(...) ->
Y = ...
[ Expression || PatternInvolving Y1 <- Expr, Y == Y1, ...]
...]]></code>
</section>
</chapter>