class IO::Path::Parts does Positional does Associative does Iterable { }
An IO::Path::Parts
object is a container for the parts of an IO::Path
object. It is usually created with a call to the method .parts
on a IO::Path
object. It can also be created with a call to the method .split
on a object of one of the low-level path operations sub-classes of IO::Spec
.
The parts of an IO::Path
are:
Methods §
method new §
method new(\volume, \dirname, \basename)
Create a new IO::Path::Parts
object with \volume
, \dirname
and \basename
as respectively the volume, directory name and basename parts.
attribute volume §
Read-only. Returns the volume of the IO::Path::Parts
object.
IO::Path::Parts.new('C:', '/some/dir', 'foo.txt').volume.say;# OUTPUT: «C:»
attribute dirname §
Read-only. Returns the directory name part of the IO::Path::Parts
object.
IO::Path::Parts.new('C:', '/some/dir', 'foo.txt').dirname.say;# OUTPUT: «/some/dir»
attribute basename §
Read-only. Returns the basename part of the IO::Path::Parts
object.
IO::Path::Parts.new('C:', '/some/dir', 'foo.txt').basename.say;# OUTPUT: «foo.txt»
Previous implementations §
Before Rakudo 2020.06 the .parts
method of IO::Path
returned a Map
and the .split
routine of the IO::Spec
sub-classes returned a List
of Pair
. The IO::Path::Part
class maintains compatibility with these previous implementations by doing Positional
, Associative
and Iterable
.
my = IO::Path::Parts.new('C:', '/some/dir', 'foo.txt');say <volume>; # OUTPUT: «C:» say [0]; # OUTPUT: «volume => C:» say [0].^name; # OUTPUT: «Pair» .say for [];# OUTPUT: «volume => C:dirname => /some/dirbasename => foo.txt»
Type Graph §
Routines supplied by role Positional §
IO::Path::Parts does role Positional, which provides the following routines:
(Positional) method of §
method of()
Returns the type constraint for elements of the positional container, that is, the T
in the definition above, which, as it can be seen, defaults to Mu. It is returned as a type object.
my ;say .of.^name; # OUTPUT: «Mu my Str ;say .of.raku; # OUTPUT: «Str» say (my int @).of; # OUTPUT: «(int)»
(Positional) method elems §
method elems()
Should return the number of available elements in the instantiated object.
(Positional) method AT-POS §
method AT-POS(\position)
Should return the value / container at the given position.
(Positional) method EXISTS-POS §
method EXISTS-POS(\position)
Should return a Bool
indicating whether the given position actually has a value.
(Positional) method STORE §
method STORE(\values, :)
This method should only be supplied if you want to support the:
my is Foo = 1,2,3;
syntax for binding your implementation of the Positional
role.
Should accept the values to (re-)initialize the object with. The optional named parameter will contain a True
value when the method is called on the object for the first time. Should return the invocant.
Routines supplied by role Associative §
IO::Path::Parts does role Associative, which provides the following routines:
(Associative) method of §
Defined as:
method of()
Associative
, as the definition above shows, is actually a parameterized role which can use different classes for keys and values. As seen at the top of the document, by default it coerces the key to Str
and uses a very generic Mu
for value.
my ;say .of; # OUTPUT: «(Mu)»
The value is the first parameter you use when instantiating Associative
with particular classes:
is Hash does Associative[Cool,DateTime] ;my := DateHash.new;say .of; # OUTPUT: «(Cool)»
(Associative) method keyof §
Defined as:
method keyof()
Returns the parameterized key used for the Associative role, which is Any
coerced to Str
by default. This is the class used as second parameter when you use the parameterized version of Associative.
my ;.keyof; # OUTPUT: «(Str(Any))»
(Associative) method AT-KEY §
method AT-KEY(\key)
Should return the value / container at the given key.
;say What.new; # OUTPUT: «42»
(Associative) method EXISTS-KEY §
method EXISTS-KEY(\key)
Should return a Bool
indicating whether the given key actually has a value.
(Associative) method STORE §
method STORE(\values, :)
This method should only be supplied if you want to support the:
my is Foo = a => 42, b => 666;
syntax for binding your implementation of the Associative
role.
Should accept the values to (re-)initialize the object with, which either could consist of Pair
s, or separate key/value pairs. The optional named parameter will contain a True
value when the method is called on the object for the first time. Should return the invocant.
Routines supplied by role Iterable §
IO::Path::Parts does role Iterable, which provides the following routines:
(Iterable) method iterator §
Defined as:
method iterator(--> Iterator)
Method stub that ensures all classes doing the Iterable
role have a method iterator
.
It is supposed to return an Iterator.
say (1..10).iterator;
(Iterable) method flat §
Defined as:
method flat(Iterable: --> Iterable)
Returns another Iterable that flattens out all iterables that the first one returns.
For example
say (<a b>, 'c').elems; # OUTPUT: «2» say (<a b>, 'c').flat.elems; # OUTPUT: «3»
because <a b>
is a List and thus iterable, so (<a b>, 'c').flat
returns ('a', 'b', 'c')
, which has three elems.
Note that the flattening is recursive, so ((("a", "b"), "c"), "d").flat
returns ("a", "b", "c", "d")
, but it does not flatten itemized sublists:
say ($('a', 'b'), 'c').raku; # OUTPUT: «($("a", "b"), "c")»
You can use the hyper method call to call the .List
method on all the inner itemized sublists and so de-containerize them, so that flat
can flatten them:
say ($('a', 'b'), 'c')>>.List.flat.elems; # OUTPUT: «3»
(Iterable) method lazy §
Defined as:
method lazy(--> Iterable)
Returns a lazy iterable wrapping the invocant.
say (1 ... 1000).is-lazy; # OUTPUT: «False» say (1 ... 1000).lazy.is-lazy; # OUTPUT: «True»
(Iterable) method hyper §
Defined as:
method hyper(Int(Cool) : = 64, Int(Cool) : = 4)
Returns another Iterable that is potentially iterated in parallel, with a given batch size and degree of parallelism.
The order of elements is preserved.
say ([1..100].hyper.map().list);
Use hyper
in situations where it is OK to do the processing of items in parallel, and the output order should be kept relative to the input order. See race
for situations where items are processed in parallel and the output order does not matter.
Options degree and batch §
The degree
option (short for "degree of parallelism") configures how many parallel workers should be started. To start 4 workers (e.g. to use at most 4 cores), pass :4degree
to the hyper
or race
method. Note that in some cases, choosing a degree higher than the available CPU cores can make sense, for example I/O bound work or latency-heavy tasks like web crawling. For CPU-bound work, however, it makes no sense to pick a number higher than the CPU core count.
The batch
size option configures the number of items sent to a given parallel worker at once. It allows for making a throughput/latency trade-off. If, for example, an operation is long-running per item, and you need the first results as soon as possible, set it to 1. That means every parallel worker gets 1 item to process at a time, and reports the result as soon as possible. In consequence, the overhead for inter-thread communication is maximized. In the other extreme, if you have 1000 items to process and 10 workers, and you give every worker a batch of 100 items, you will incur minimal overhead for dispatching the items, but you will only get the first results when 100 items are processed by the fastest worker (or, for hyper
, when the worker getting the first batch returns.) Also, if not all items take the same amount of time to process, you might run into the situation where some workers are already done and sit around without being able to help with the remaining work. In situations where not all items take the same time to process, and you don't want too much inter-thread communication overhead, picking a number somewhere in the middle makes sense. Your aim might be to keep all workers about evenly busy to make best use of the resources available.
You can also check out this blog post on the semantics of hyper and race
(Iterable) method race §
Defined as:
method race(Int(Cool) : = 64, Int(Cool) : = 4 --> Iterable)
Returns another Iterable that is potentially iterated in parallel, with a given batch size and degree of parallelism (number of parallel workers).
Unlike hyper
, race
does not preserve the order of elements (mnemonic: in a race, you never know who will arrive first).
say ([1..100].race.map().list);
Use race in situations where it is OK to do the processing of items in parallel, and the output order does not matter. See hyper
for situations where you want items processed in parallel and the output order should be kept relative to the input order.
Blog post on the semantics of hyper and race
See hyper
for an explanation of :$batch
and :$degree
.