NAME
List::Gen::Cookbook - how to get the most out of List::Gen
COOKBOOK
this document contains tips and tricks for working with and combining generators
iteration
given the generator my $gen = gen {2**$_} 100;
which computes the first hundred powers of two, here are a few was to iterate over it (that all maintain lazy evaluation):
for (@$gen) {...} # no need to reset generator between calls
for my $p (@$gen) {...}
... for @$gen;
while (<$gen>) {...} # iterated generators must be reset with `$gen->reset`
... while <$gen> # before each loop, also be sure to `local $_` before
# while loops that modify `$_`
while (my $p = <$gen>) {...}
while (defined(my $p = $gen->())) {...}
while ($gen->more) {do something with $gen->next}
since all of these iteration examples remain lazy (only generating values on demand), you can last
at any time to break out of the loop.
you can also use the do
method:
$gen->do(sub {...}); # which calls sub on every element of $gen
list creation
you can dereference finite length generators to pass all of their elements to a function:
say sum @$gen;
but it is usually faster to write it this way:
say sum $gen->all;
generators interpolate in strings like normal arrays:
say "@$gen[0 .. 10]";
do not call ->all
or use array dereferencing on infinite generators. in some places you may get an error, others, it will loop forever (and probably run out of memory at some point).
inline generators
the generators without code blocks, range
and glob
, can be directly dereferenced with @{...}
for (@{range 0.345, -21.5, -0.5}) {...}
for (@{< 1 .. 10 by 2 >}) {...}
for those with code blocks, perl needs a little help to figure out whats going on:
for (@{ +gen {$_**2} 1, 10 }) {...} # a '+' or ';' before it does the trick
normal generators
the range
and makegen
functions are the most primitive generators, range
producing a lazy list, and makegen
wrapping a perl array.
you build upon these with the other generator functions/methods. many generator functions will pass their arguments along to range
or makegen
as needed, so you rarely need to use them directly.
gen {$_**2} 100 ~~ gen {$_**2} range 0, 100
my @names = qw/bob alice eve/;
gen {"hello $_!"} \@names ~~ gen {"hello $_!"} makegen @names
those were two examples of gen
, the generator equivalent of map
that attaches a code block to a generator.
iterative generators
there is one other primitive generator type, the iterate
generator, which is used when your algorithm is iterative in nature. iterative generators come in two flavors, single element per iteration, and multi element per iteration.
my $fib = do {
my ($an, $bn) = (0, 1);
iterate {
my $return = $an;
($an, $bn) = ($bn, $an + $bn);
$return
}
};
my $multi = do {
my $var;
iterate_multi {
my @return = ...;
}
}
you can also use the ->from
method to write an iterator that builds from an initial value:
say iterate{$_*2}->from(1)->str(10); # 1 2 4 8 16 32 64 128 256 512
the iterative generators have some syntactic sugar you can use, in the form of gather {...}
and take(...)
:
my $fib = do {
my ($x, $y) = (0, 1);
gather {
($x, $y) = ($y, take($x) + $y)
}
};
don't confuse this implementation of gather/take
with the perl6 implementation, or the implementation of yield
in python. since perl5 does not have continuations, take
can't pause the execution of the gather block. instead, it saves the value passed to it, and the gather block returns it when the block ends. you can use gather_multi
to take
multiple times.
all iterative generators implicitly cache their generated elements in an internal array. this allows random access within the generator. unlike other caching generators, you can not purge the iterator's cache (except by letting all references to the generator fall out of scope, like a normal variable). if you want an iterator that throws its values away, just write a subroutine:
my $fib = do {
my ($an, $bn) = (0, 1);
sub {
my $return = $an;
($an, $bn) = ($bn, $an + $bn);
$return
}
};
say $fib->() for 1 .. 10;
composite generators
there are many ways to modify generators.
my $odd = filter {$_ % 2};
my $squares_of_odd = gen {$_**2} $odd;
my $less_than_1000 = While {$_ < 1000} $squares_of_odd;
say for @$less_than_1000;
my $this_is_same = While {$_ < 1000} gen {$_**2} filter {$_ % 2};
say for @$this_is_same;
here is a sub that returns a generator producing the fibonacci sequence to a given magnitude:
sub fibonacci {
my $limit = 10**shift;
my ($x, $y) = (0, 1);
While {$_ < $limit} gather {
($x, $y) = ($y, take($x) + $y)
}
}
say for @{fibonacci 15};
variable length generators
to implement grep
(as filter
) or while
(as While
) on a generator means that the generator no longer knows its exact size at all times. care has been taken to make sure that this doesn't bite you too much.
my $pow = While {$_ < 20} gen {$_**2};
say for @$pow; # checks size on every iteration, works fine
say while <$pow>; # also works
say $pow->all; # ok too
each prints:
0
1
4
9
16
but, if instead of say for @$pow
you had written map {say} @$pow
, perl will try to expand @$pow
in list context, and it will not know when to stop, since it only checks at the beginning. the solution, in short, is to only dereference variable length generators in slice @$gen[0 .. 10]
or iterator ... for @$gen;
context, and never in list context.
in general, it makes more sense (and is faster) to build your constraint into the calling code:
my $pow = gen {$_**2};
for (@$gen) {
last if $_ > 20;
say;
}
recursive generators
the fibonacci sequence can be generated from the following definition:
f[0] = 0;
f[1] = 1;
f[n] = f[n-1] + f[n-2];
here are a few ways to write that definition as a generator:
my $fib; $fib = cache gen {$_ < 2 ? $_ : $$fib[$_ - 1] + $$fib[$_ - 2]};
my $fib = gen {$_ < 2 ? $_ : self($_ - 1) + self($_ - 2)}
->cache
->recursive;
my $fib; $fib = gen {$fib->($_ - 1) + $fib->($_ - 2)}
->overlay( 0 => 0, 1 => 1 )
->cache;
my $fib; $fib = gen {$$fib[$_ - 1] + $$fib[$_ - 2]}->cache->overlay;
@$fib[0, 1] = (0, 1);
bringing all those techniques together:
my $fib = gen {self($_ - 1) + self($_ - 2)}
->overlay( 0 => 0, 1 => 1 )
->cache
->recursive;
the cache
function is used in each example because the recursive definition of the fibonacci sequence would generate an exponentially increasing number of calls to itself as the list grows longer. cache
prevents any index from being calculated more than once.
more ways to write the fibonacci sequence
my $fib = <0, 1, *+*...>; >>
my $fib = <0, 1, {$^a + $^b}...>; >>
my $fib = ([0, 1] + iterate {sum self($_, $_ + 1)})->rec; >>
my $fib = ([0, 1] + iterate {sum fib($_, $_ + 1)})->rec('fib'); >>
my $fib = (iterate {$_ < 2 ? $_ : sum self($_ - 1, $_ - 2)})->rec; >>
my $fib; $fib = cache gen {$_ < 2 ? $_ : sum $fib->($_ - 1, $_ - 2)}; >>
stream generators
here is an example of a sieve of eratosthenes implemented with generators:
my $primes = do {
my $src = <2..>;
iterate {
my ($x, $xs) = $src->x_xs;
$src = $xs->grep_stream(sub {$_ % $x});
$x
}
};
in this example, the list is filtered with grep_stream/filter_stream
since the algorithm only reads the source once, and reads it in order. a regular filter/grep
call could be used, but it would unnecessarily use up a lot of memory since each call would have to build up a new random-access cache.
the inefficiency addressed above could also be fixed by modifying the filtering function itself:
my $primes = do {
my @p;
<2..>->grep(sub {
my $i = $_;
$i % $_ or return for @p;
push @p, $i;
})
};
of course if you want prime numbers, just use the primes
function:
my $primes = List::Gen::primes;
which is implemented as a precomputed sieve of eratosthenes in a string buffer. initially it is ready to test the primality of numbers below 1000. if a higher number is checked, the sieve will grow to 10 times larger than that value. beyond 1e7 primes are checked with simple trial division.
printing generators
there are a variety of methods available for printing out the contents of a generator:
my $gen = <1..5>;
say $gen->str; # 1 2 3 4 5
$gen->say; # 1 2 3 4 5
$gen->print; # same as: print $gen;
say $gen->perl; # [1, 2, 3, 4, 5]
$gen->dump; # [1, 2, 3, 4, 5]
if your generator is longer than you would like to print, such as an infinite generator, passing a number to any of the methods above will limit the number of elements printed.
<1..>->say(5); # 1 2 3 4 5
which is the same as
<1..>->take(5)->say; # 1 2 3 4 5
if passed an additional argument, that string will be included in the output whenever the printing method needs to truncate a generator.
say <1..>->perl(5, '...'); # [1, 2, 3, 4, 5, ...]
these methods are recursive and will expand elements that are generators or array references.
list(<1..>, <a..>, <A..>)->dump(3, '...');
# [[1, 2, 3, ...], ['a', 'b', 'c', ...], ['A', 'B', 'C', ...]]
<1..>->tuples(<a..>)->dump(3); # [[1, 'a'], [2, 'b'], [3, 'c']]
a target file handle can be passed as the first argument:
<1..>->dump(*STDERR, 5);
the say
, print
, and dump
methods all return the generator they were called on for easy chaining.
<1..>->say(5)->map('**2')->say(5);
# 1 2 3 4 5
# 1 4 9 16 25
debugging generators
in addition to the methods to print generators, there are several methods dedicated to debugging:
<0..>->debug;
# debug: List::Gen::erator::_20=ARRAY(0x2d07bfc)
# type: List::Gen::Range
# source: none
# mutable: no
# stream: no
# range: [0 .. inf]
# index: 0
# perl: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, ...]
# at file.pl line 12
pass debug
a number to control how many elements are printed.
my $gen = <0..>->watch('range')
->grep('even')->watch('grep')
->map('**2')->watch('map')
->map('"[$_]"');
local $\ = ', '; # watch ends lines with $\ if defined or with $/
say $gen->(0); # range: 0, range: 1, range: 2, grep: 0, map: 0, [0]
say $gen->(1); # range: 3, range: 4, grep: 2, map: 4, [4]
say $gen->(2); # range: 5, range: 6, grep: 4, map: 16, [16]
watch
can also be passed a file handle to print to.
AUTHOR
Eric Strom, <asg at cpan.org>
COPYRIGHT & LICENSE
copyright 2009-2011 Eric Strom.
this program is free software; you can redistribute it and/or modify it under the terms of either: the GNU General Public License as published by the Free Software Foundation; or the Artistic License.
see http://dev.perl.org/licenses/ for more information.