Specify Ruby method namespace for readability - ruby

This is a bit of a weird question, but I'm not quite sure how to look it up. In our project, we already have an existing concept of a "shift". There's a section of code that reads:
foo.shift
In this scenario, it's easy to read this as trying to access the shift variable of object foo. But it could also be Array#shift. Is there a way to specify which class we expect the method to belong to? I've tried variations such as:
foo.send(Array.shift)
Array.shift(foo)
to make it more obvious which method was being called, but I can't get it to work. Is there a way to be more explicit about which class the method you're trying to call belongs to to help in code readability?

On a fundamental level you shouldn't be concerned about this sort of thing and you absolutely can't tell the Array shift method to operate on anything but an Array object. Many of the core Ruby classes are implemented in C and have optimizations that often depend on specific internals being present. There's safety measures in place to prevent you from trying to do something too crazy, like rebinding and applying methods of that sort arbitrarily.
Here's an example of two "shifty" objects to help illustrate a real-world situation and how that applies:
class CharacterArray < Array
def initialize(*args)
super(args.flat_map(&:chars))
end
def inspect
join('').inspect
end
end
class CharacterList < String
def shift
slice!(0, 1)
end
end
You can smash Array#shift on to the first and it will work by pure chance because you're dealing with an Array. It won't work with the second one because that's not an Array, it's missing significant methods that the shift method likely depends on.
In practice it doesn't matter what you're using, they're both the same:
list_a = CharacterArray.new("test")
list_a.shift
# => "t"
list_a.shift
# => "e"
list_a << "y"
# => "sty"
list_b = CharacterList.new("test")
list_b.shift
# => "t"
list_b.shift
# => "e"
list_b << "y"
# => "sty"
These both implement the same interfaces, they both produce the same results, and as far as you're concerned, as the caller, that's good enough. This is the foundation of Duck Typing which is the philosophy Ruby has deeply embraced.
If you try the rebind trick on the CharacterList you're going to end up in trouble, it won't work, yet that class delivers on all your expectations as far as interface goes.
Edit: As Sergio points out, you can't use the rebind technique, Ruby abruptly explodes:
Array.instance_method(:shift).bind(list_b).call
# => Error: bind argument must be an instance of Array (TypeError)
If readability is the goal then that has 35 more characters than list_b.shift which is usually going dramatically in the wrong direction.

After some discussion in the comments, one solution is:
Array.instance_method(:shift).bind(foo).call
Super ugly, but gets across the idea that I wanted which was to completely specify which instance method was actually being called. Alternatives would be to rename the variable to something like foo_array or to call it as foo.to_a.shift.
The reason this is difficult is that Ruby is not strongly-typed, and this question is all about trying to bring stronger typing to it. That's why the solution is gross! Thanks to everybody for their input!

Related

Why is there no `.split!` in Ruby?

It just seems pretty logical to have it when there's even a downcase!. Has anyone else run into this use case in Ruby?
For the curious, I'm trying to do this:
def some_method(foo)
foo.downcase!.split!(" ")
## do some stuff with foo later. ##
end
some_method("A String like any other")
Instead of this:
def some_method(foo)
foo = foo.downcase.split(" ")
## do some stuff with foo later. ##
end
some_method("A String like any other")
Which isn't a really big deal...but ! just seems cooler.
Why is there no .split! in Ruby?
It just seems pretty logical to have it when there's even a downcase!.
It may be logical, but it is impossible: objects cannot change their class or their identity in Ruby. You may be thinking of Smalltalk's become: which doesn't and cannot exist in Ruby. become: changes the identity of an object and thus can also change its class.
I don't see this "use case" as very important.
The only thing a "bang method" is doing is saving you the trouble of assigning a variable.
The reason "bang methods" are the exception instead of the rule is they can produce confusing results if you don't understand them.
i.e. if you write
a = "string"
def my_upcase(string)
string.upcase!
end
b = my_upcase(a)
then both a and b will have transformed value even if you didn't intend to change a. Removing the exclamation point fixes this example, but if you're using mutable objects such as hashes and arrays you'll have to look out for this in other situations as well.
a = [1,2,3]
def get_last_element(array)
array.pop
end
b = get_last_element(a)
Since Array#pop has side effects, a is now 1,2. It has the last element removed, which might not have been what you intended. You could replace .pop here with [-1] or .last to get rid of the side effect
The exclamation point in a method name is essentially warning you that there are side effects. This is important in the concept of functional programming, which prescribes side effect free code. Ruby is very much a functional programming language by design (although it's very object oriented as well).
If your "use case" boils down to avoiding assigning a variable, that seems like a really minor discomfort.
For a more technical reason, though, see Jorg Mittag's answer. It's impossible to write a method which changes the class of self
this
def some_method(foo)
foo = foo.downcase.split(" ")
end
some_method("A String like any other")
is the same as this
def some_method(foo)
foo.downcase.split
end
some_method("A String like any other")
Actually, both of your methods return the same result. We can look at a few examples of methods that modify the caller.
array.map! return a modified original array
string.upcase! return a modified original string
However,
split modifies the class of the caller, changing a string to an array.
Notice how the above examples only modify the content of the object, instead of changing its class.
This is most likely why there isn't a split! method, although it's pretty easy to define one yourself.
#split creates an array out of a string, you can't permanently mutate(!) the string into being an array. Because the method is creating a new form from the source information(string), the only thing you need to do to make it permanent, is to bind it to a variable.

Ruby initialization idiom using symbols

I'm doing some work in an existing Ruby code base, and I'm quite new to Ruby. I see this initialization idiom pretty often:
def initialize(input)
#number = input[:number]
#color = input[:color]
end
I guess I have two questions. One is whether this is a common idiom and if so, what's good about it? The second is, what is actually happening here? Is the implication that input is an array? A hash? The underlying mechanics aren't clear to me.
Yes, it's common. Generally when you see code like this, it means that input is a Hash. Occasionally someone might pass in an object that acts like a hash, though, and we can still expect this code to work. We can tell that input is definitely not an array, because arrays require Integers to be used as their index, but :number and :color are Symbols.
Whenever you see something starting with a colon like :number, that is a Ruby symbol.
Whenever you see something starting with a # like #number, that is the name of an instance variable. Instance variables are used to store data inside objects for later use.
Suppose we have a class Foo defined like this:
class Foo
def initialize(input)
#number = input[:number]
#color = input[:color]
end
end
In this case, we can create a new object like this:
Foo.new(number: 4, color: 'red')
The code above is equivalent to:
input_hash = { :number => 4, :color => 'red' }
Foo.new(input_hash)
One nice thing about this pattern is that you can tell exactly what each input variable is being used for because it will be written next to a descriptive symbol, and also it doesn't matter what order you put the input variables in.
Improvements
If you want to improve this code, you might consider using a new feature of Ruby called keyword arguments. Alternatively, you might also consider Hash#fetch so you can have more control over what happens when one of the keys is missing, instead of just storing a nil value in your object. I would also recommend that you check the input hash for any unexpected keys and raise an exception if they are found.
Is this a common idiom and if so, what's good about it?
It's not common, but it's acceptable. When there are more than n parameters being passed in, where "n" is often > 3, we should use a hash.
What's good about it? Look at the code. Is it simple and readable? Does it make sense that an input parameter of :number is being assigned to an instance variable of the same name?
what is actually happening here? Is the implication that input is an array? A hash? The underlying mechanics aren't clear to me.
It's a hash where :number and :color are keys.

What is the semantics of this "do ... end"

I am new to Ruby and am learning from reading an already written code.
I encounter this code:
label = TkLabel.new(#root) do
text 'Current Score: '
background 'lightblue'
end
What is the semantics of the syntax "do" above?
I played around with it and it seems like creating a TkLabel object then set its class variable text and background to be what specified in quote. However when I tried to do the same thing to a class I created, that didn't work.
Oh yeah, also about passing hash into function, such as
object.function('argument1'=>123, 'argument2'=>321)
How do I make a function that accepts that kind of argument?
Thanks in advance
What you're looking at is commonly referred to as a DSL, or Domain Specific Language.
At first glance it may not be clear why the code you see works, as text and background are seemingly undefined, but the trick here is that that code is actually evaluated in a scope in which they are. At it's simplest, the code driving it might look something like this:
class TkLabel
def initialize(root, &block)
#root = root
if block
# the code inside the block in your app is actually
# evaluated in the scope of the new instance of TkLabel
instance_eval(&block)
end
end
def text(value)
# set the text
end
def background(value)
# set the background
end
end
Second question first: that's just a hash. Create a function that accepts a single argument, and treat it like a hash.
The "semantics" are that initialize accepts a block (the do...end bit), and some methods accepting string parameters to set specific attributes.
Without knowing how you tried to do it, it's difficult to go much beyond that. Here are a few, possible, references that might help you over some initial hurdles.
Ruby is pretty decent at making miniature, internal DSLs because of its ability to accepts blocks and its forgiving (if arcane at times) syntax.

"In Ruby there's more than one way of doing the same thing" - what does this mean?

Feel free to delete this topic if it's discussed or quite obvious. I hail from C# background and I'm planning to learn Ruby. Everything I read about it seems quite intriguing. But I'm confused over this basic philosophy of Ruby that "there's more than one way to do one thing". Can someone provide 2 or 3 simple arithmetic or string examples to make this point clear, like if its about the syntaxes or logics etc.
Thanks
"More than one way of doing something" means having the choice of doing something the way you want it. That way you can use various programming styles, no matter what background you're coming from.
Iteration using for vs. blocks
You can iterate over an array of things like so. This is pretty basic, and if you're from a Java background, this feels kind of natural.
for something in an_array
print something
end
A more Ruby-like way would be the following:
an_array.each do |something|
print something
end
The first is a rather well known way of doing things. The second one is using blocks, a very powerful concept that you'll find in many Ruby idioms. Basically, the array knows how to iterate over its contents, so you can modify this and add something like:
an_array.each_with_index do |something, index|
print "At #{index}, there is #{something}"
end
You could have done it like this too, but now you see that the above one looks easier:
index = 0
for something in an_array
print "At #{index}, there is #{something}"
index += 1
end
Passing arguments as usual or using Hashes
Normally, you would pass arguments like so:
def foo(arg1, arg2, arg3)
print "I have three arguments, which are #{arg1}, #{arg2} and #{arg3}"
end
foo("very", "easy", "classic")
=> "I have three arguments, which are very easy and classic"
However, you may also use a Hash to do that:
def foo(args)
print "I have multiple arguments, they are #{args[:arg1]}, #{args[:arg2]} and #{args[:arg3]}"
end
foo :arg1 => "in a", :arg2 => "hash", :arg3 => "cool"
=> "I have three arguments, which are in a hash and cool"
The second form is one used excessively by Ruby on Rails. The nice thing is that you now have named parameters. When you are passing them, you will more easily remember what they are used for.
It means a lot of confusion, style wars, and bugs due to subtle differences, all in the name of freedom of choice.
A somewhat trivial example is the use of alias/alias_method (also note that there are two similar ways for almost the same thing, e. g. alias versus alias_method).
Consider that you are working in a project and you forgot which API to use.
What was the name of the method again?
Well, you can just remain within the domain logic of your program at hand, and continue to work with it the way you want to; then you are going to simply add an alias in the main entry point of your other program.
People can use by default .collect or they can use .map, it makes little difference what you personally would use (I use .map since it is shorter).
The use of aliases helped me because after some months, I often can not remember how to use something. Yes, I could look it up, but why would I have to bother anyway? I can just use an alias instead. (Note that I do try to remain as simple as possible with aliases and APIs.)

Reclassing an instance in Python

I have a class that is provided to me by an external library. I have created a subclass of this class. I also have an instance of the original class.
I now want to turn this instance into an instance of my subclass without changing any properties that the instance already has (except for those that my subclass overrides anyway).
The following solution seems to work.
# This class comes from an external library. I don't (want) to control
# it, and I want to be open to changes that get made to the class
# by the library provider.
class Programmer(object):
def __init__(self,name):
self._name = name
def greet(self):
print "Hi, my name is %s." % self._name
def hard_work(self):
print "The garbage collector will take care of everything."
# This is my subclass.
class C_Programmer(Programmer):
def __init__(self, *args, **kwargs):
super(C_Programmer,self).__init__(*args, **kwargs)
self.learn_C()
def learn_C(self):
self._knowledge = ["malloc","free","pointer arithmetic","curly braces"]
def hard_work(self):
print "I'll have to remember " + " and ".join(self._knowledge) + "."
# The questionable thing: Reclassing a programmer.
#classmethod
def teach_C(cls, programmer):
programmer.__class__ = cls # <-- do I really want to do this?
programmer.learn_C()
joel = C_Programmer("Joel")
joel.greet()
joel.hard_work()
#>Hi, my name is Joel.
#>I'll have to remember malloc and free and pointer arithmetic and curly braces.
jeff = Programmer("Jeff")
# We (or someone else) makes changes to the instance. The reclassing shouldn't
# overwrite these.
jeff._name = "Jeff A"
jeff.greet()
jeff.hard_work()
#>Hi, my name is Jeff A.
#>The garbage collector will take care of everything.
# Let magic happen.
C_Programmer.teach_C(jeff)
jeff.greet()
jeff.hard_work()
#>Hi, my name is Jeff A.
#>I'll have to remember malloc and free and pointer arithmetic and curly braces.
However, I'm not convinced that this solution doesn't contain any caveats I haven't thought of (sorry for the triple negation), especially because reassigning the magical __class__ just doesn't feel right. Even if this works, I can't help the feeling there should be a more pythonic way of doing this.
Is there?
Edit: Thanks everyone for your answers. Here is what I get from them:
Although the idea of reclassing an instance by assigning to __class__ is not a widely used idiom, most answers (4 out of 6 at the time of writing) consider it a valid approach. One anwswer (by ojrac) says that it's "pretty weird at first glance," with which I agree (it was the reason for asking the question). Only one answer (by Jason Baker; with two positive comments & votes) actively discouraged me from doing this, however doing so based on the example use case moreso than on the technique in general.
None of the answers, whether positive or not, finds an actual technical problem in this method. A small exception is jls who mentions to beware of old-style classes, which is likely true, and C extensions. I suppose that new-style-class-aware C extensions should be as fine with this method as Python itself (presuming the latter is true), although if you disagree, keep the answers coming.
As to the question of how pythonic this is, there were a few positive answers, but no real reasons given. Looking at the Zen (import this), I guess the most important rule in this case is "Explicit is better than implicit." I'm not sure, though, whether that rule speaks for or against reclassing this way.
Using {has,get,set}attr seems more explicit, as we are explicitly making our changes to the object instead of using magic.
Using __class__ = newclass seems more explicit because we explicitly say "This is now an object of class 'newclass,' expect a different behaviour" instead of silently changing attributes but leaving users of the object believing they are dealing with a regular object of the old class.
Summing up: From a technical standpoint, the method seems okay; the pythonicity question remains unanswered with a bias towards "yes."
I have accepted Martin Geisler's answer, because the Mercurial plugin example is a quite strong one (and also because it answered a question I even hadn't asked myself yet). However, if there are any arguments on the pythonicity question, I'd still like to hear them. Thanks all so far.
P.S. The actual use case is a UI data control object that needs to grow additional functionality at runtime. However, the question is meant to be very general.
Reclassing instances like this is done in Mercurial (a distributed revision control system) when extensions (plugins) want to change the object that represent the local repository. The object is called repo and is initially a localrepo instance. It is passed to each extension in turn and, when needed, extensions will define a new class which is a subclass of repo.__class__ and change the class of repo to this new subclass!
It looks like this in code:
def reposetup(ui, repo):
# ...
class bookmark_repo(repo.__class__):
def rollback(self):
if os.path.exists(self.join('undo.bookmarks')):
util.rename(self.join('undo.bookmarks'), self.join('bookmarks'))
return super(bookmark_repo, self).rollback()
# ...
repo.__class__ = bookmark_repo
The extension (I took the code from the bookmarks extension) defines a module level function called reposetup. Mercurial will call this when initializing the extension and pass a ui (user interface) and repo (repository) argument.
The function then defines a subclass of whatever class repo happens to be. It would not suffice to simply subclass localrepo since extensions need to be able to extend each other. So if the first extension changes repo.__class__ to foo_repo, the next extension should change repo.__class__ to a subclass of foo_repo and not just a subclass of localrepo. Finally the function changes the instanceø's class, just like you did in your code.
I hope this code can show a legitimate use of this language feature. I think it's the only place where I've seen it used in the wild.
I'm not sure that the use of inheritance is best in this case (at least with regards to "reclassing"). It seems like you're on the right track, but it sounds like composition or aggregation would be best for this. Here's an example of what I'm thinking of (in untested, pseudo-esque code):
from copy import copy
# As long as none of these attributes are defined in the base class,
# this should be safe
class SkilledProgrammer(Programmer):
def __init__(self, *skillsets):
super(SkilledProgrammer, self).__init__()
self.skillsets = set(skillsets)
def teach(programmer, other_programmer):
"""If other_programmer has skillsets, append this programmer's
skillsets. Otherwise, create a new skillset that is a copy
of this programmer's"""
if hasattr(other_programmer, skillsets) and other_programmer.skillsets:
other_programmer.skillsets.union(programmer.skillsets)
else:
other_programmer.skillsets = copy(programmer.skillsets)
def has_skill(programmer, skill):
for skillset in programmer.skillsets:
if skill in skillset.skills
return True
return False
def has_skillset(programmer, skillset):
return skillset in programmer.skillsets
class SkillSet(object):
def __init__(self, *skills):
self.skills = set(skills)
C = SkillSet("malloc","free","pointer arithmetic","curly braces")
SQL = SkillSet("SELECT", "INSERT", "DELETE", "UPDATE")
Bob = SkilledProgrammer(C)
Jill = Programmer()
teach(Bob, Jill) #teaches Jill C
has_skill(Jill, "malloc") #should return True
has_skillset(Jill, SQL) #should return False
You may have to read more about sets and arbitrary argument lists if you aren't familiar with them to get this example.
This is fine. I've used this idiom plenty of times. One thing to keep in mind though is that this idea doesn't play well with old-style classes and various C extensions. Normally this wouldn't be an issue, but since you are using an external library you'll just have to make sure you're not dealing with any old-style classes or C extensions.
"The State Pattern allows an object to alter its behavior when its internal state changes. The object will appear to change it's class." - Head First Design Pattern. Something very similar write Gamma et.al. in their Design Patterns book. (I have it at my other place, so no quote). I think that's the whole point of this design pattern. But if I can change the class of an object at runtime, most of the time i don't need the pattern (there are cases when State Pattern does more than simulate a class change).
Also, changing class at runtime doesn't always work:
class A(object):
def __init__(self, val):
self.val = val
def get_val(self):
return self.val
class B(A):
def __init__(self, val1, val2):
A.__init__(self, val1)
self.val2 = val2
def get_val(self):
return self.val + self.val2
a = A(3)
b = B(4, 6)
print a.get_val()
print b.get_val()
a.__class__ = B
print a.get_val() # oops!
Apart from that, I consider changing class at runtime Pythonic and use it from time to time.
Heheh, fun example.
"Reclassing" is pretty weird, at first glance. What about the 'copy constructor' approach? You can do this with the Reflection-like hasattr, getattr and setattr. This code will copy everything from one object to another, unless it already exists. If you don't want to copy methods, you can exclude them; see the commented if.
class Foo(object):
def __init__(self):
self.cow = 2
self.moose = 6
class Bar(object):
def __init__(self):
self.cat = 2
self.cow = 11
def from_foo(foo):
bar = Bar()
attributes = dir(foo)
for attr in attributes:
if (hasattr(bar, attr)):
break
value = getattr(foo, attr)
# if hasattr(value, '__call__'):
# break # skip callables (i.e. functions)
setattr(bar, attr, value)
return bar
All this reflection isn't pretty, but sometimes you need an ugly reflection machine to make cool stuff happen. ;)
This technique seems reasonably Pythonic to me. Composition would also be a good choice, but assigning to __class__ is perfectly valid (see here for a recipe that uses it in a slightly different way).
In ojrac's answer, the break breaks out of the for-loop and doesn't test any more attributes. I think it makes more sense to just use the if-statement to decide what to do with each attribute one at a time, and continue through the for-loop over all attributes. Otherwise, I like ojrac's answer, as I too see assigning to __class__ as weird. (I'm a beginner with Python and as far as I remember this is my first post to StackOverFlow. Thanks for all the great information!!)
So I tried to implement that. I noticed that dir() doesn't list all the attributes. http://jedidjah.ch/code/2013/9/8/wrong_dir_function/ So I added 'class', 'doc', 'module' and 'init' to the list of things to add if they're not there already, (although they're probably all already there), and wondered whether there were more things dir misses. I also noticed that I was (potentially) assigning to 'class' after having said that was weird.
I will say this is perfectly fine, if it works for you.

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