Are Enum classes in Kotlin "expensive" for Android as in Java? - java

Are Enum classes in Kotlin "expensive" for Android as Java?.
Is it still stand to use #IntDefs or #StringDefs in Kotlin?.
When I decompile Kotlin Enum class to Java class, there still used Java Enums in the low level, which are not recommended for use in Android Development, and this made me think about this.

Are Enum classes in Kotlin "expensive" for Android as Java?. Could be. I doubt whether kotlin will be able to do any optimization that java cannot.
Is it still stand to use #IntDefs or #StringDefs in Kotlin?. - Not really. This is a polarising subject and many in the Android world(including me) believe that using enums should be the preferred way. I encourage you to read the following links to get a better idea.
Twitter thread by Jake Wharton
An article by Diane Hackborn and the comments
Somwhat witty reddit thread talking about optimization of enums and such
And the following answers by Jake Wharton are interesting.
Does lint support kotlin typedefs? (Lint for Kotlin won't be fully
supported until AS 3.1, and we're on 3.0 still)
Do you mean typealias? If so, yes.
Will I get a lint warning for an exhaustive when when I do a return
when(intDef) { .. } and accidentally omit one of the the possible
types?
An else will always be required here. Not sure about the lint warning
though.
Does AS have an intention (alt + enter to quickly add all variants of
the intDef?
Yes.
Like right now, instead of shipping features, we're discussing when
this micro-optimization should be used!
Summation of the entire enum conversation since about 2012!
I'm also wondering if a sealed class where each implementation is an
object has some perf gains over an enum
None. It's effectively the exact same thing as an enum.

Related

Java 8 Defender Methods

After being very excited and optimistic about Java 8 "extension"/defender methods I am finding myself disappointed. In reading what it does I was expecting to, like with C# or Scala, to be able to "insert" my own methods "onto" final/sealed classes.
One very simple requirement is to be able to "extend" String with my own method mid - in order to do something like this:
"123456".mid(2,2) => "34"
I really don't want to get into an academic argument about why this code design is bad. It works for C#, it works for Scala, so why would this argument be any different for Java - rhetorically asking?
Currently one option to alleviate this is by doing the StringUtils.mid("123456", 2, 2)... which is really counter-intuitive imho.
I known lombok does this - but unfortunately it is not compatible with this specific feature for my IDE (IntelliJ).
Can somebody please direct me to code of where such a defender was done successfully if possible? Googling it only gives examples of Collection API where the code is already written "into" JDK 8 or examples from the ground up for non-JDK or Sealed classes.
Regards,
Gawie

"built in dependency injection" in scala

Hi the following post says there is "built in dependency injection" in scala
"As a Scala and Java developer, I am not even slightly tempted to
replace Scala as my main language for my next project with Java 8. If
I'm forced to write Java, it might better be Java 8, but if I have a
choice, there are so many things (as the OP correctly states) that
make Scala compelling for me beyond Lambdas that just adding that
feature to Java doesn't really mean anything to me. Ruby has Lambdas,
so does Python and JavaScript, Dart and I'm sure any other modern
language. I like Scala because of so many other things other than
lambdas that a single comment is not enough.
But to name a few (some were referenced by the OP)
Everything is an expression, For
comprehensions (especially with multiple futures, resolving the
callback triangle of death in a beautiful syntax IMHO), Implicit
conversions, Case classes, Pattern Matching, Tuples, The fact that
everything has equals and hashcode already correctly implemented (so I
can put a tuple, or even an Array as a key in a map), string
interpolation, multiline string, default parameters, named parameters,
built in dependency injection, most complex yet most powerful type
system in any language I know of, type inference (not as good as
Haskell, but better than the non existent in Java). The fact I always
get the right type returned from a set of "monadic" actions thanks to
infamous things like CanBuildFrom (which are pure genius). Let's not
forget pass by name arguments and the ability to construct a DSL.
Extractors (via pattern matching). And many more.
I think Scala is
here to stay, at least for Scala developers, I am 100% sure you will
not find a single Scala developer that will say: "Java 8 got lambdas?
great, goodbye scala forever!". Only reason I can think of is compile
time and binary compatibility. If we ignore those two, all I can say
is that this just proves how Scala is in the right direction (since
Java 8 lambdas and default interface methods and steams are so clearly
influenced)
I do wish however that Scala will improve Java 8
interoperability, e.g. support functional interfaces the same way. and
add new implicit conversions to Java 8 collections as well as take
advantage to improvements in the JVM.
I will replace Scala as soon as
I find a language that gives me what Scala does and does it better. So
far I didn't find such a language (examined Haskell, Clojure, Go,
Kotlin, Ceylon, Dart, TypeScript, Rust, Julia, D and Nimrod, Ruby
Python, JavaScript and C#, some of them were very promising but since
I need a JVM language, and preferably a statically typed one, it
narrowed down the choices pretty quickly)
Java 8 is by far not even
close, sorry. Great improvement, I'm very happy for Java developers
that will get "permission" to use it (might be easier to adopt than
Scala in an enterprise) but this is not a reason for a Scala shop to
consider moving back to Java." [1]
what is exactly the built in dependency injection in scala?
It's not a discrete language feature. I think the author was referring to the fact that Scala's feature set is flexible enough to support a number of techniques that could be said to accomplish DI:
the cake pattern, building on the trait system
the Reader monad, building on higher-kinded types
DI through currying, building on functional techniques
using implicit class parameters, building on Scala's concept of implicits
in my own project, we accomplish DI by requiring function values in the class constructor explicitly
This diversity is rather emblematic of Scala. The language was designed to implement a number of very powerful concepts, mostly orthogonally, resulting in multiple valid ways to solve many problems. The challenge as a Scala programmer is to understand this breadth and then make an intelligent choice for your project. A lot of times, that choice depends on what paradigms are being used internally to implement your components.

Term to distinguish "default" vs "made-up" classes in OOP

arraylists, buffered reader, scanner, etc.. all "Default" classes that "already exist" in the language..
unlike, say, public class widthOfTable which would be a "made up" class , that " did not already exist in language"..
why is there no term to distinguish these ideas when teaching? I barely discovered this difference in college , despite being here 3 years.
Actually, there is a pretty strong distinction between what you called "default" and "made-up" classes, which has to do with their package names.
All "default" classes are in some java.* package (java.lang, java.util, etc.), and no "made up" class could use a package name that starts with java..
As for the fact that this distinction is blurred "when teaching", my feeling is that it's intentional. Java as a language is pretty much a set of keywords and syntax rules plus a java.lang.Object class that nobody could avoid extending (and which uses a few other built-in types like String, Integer and some exceptions).
The JDK is a Java library to help you with the most common use-cases, but in some cases there are better alternatives.
In my opinion, it would be a mistake to teach someone that java.util.Calendar or the java.util.logging stuff have any advantage over JodaTime or SLF4J just because they're in the classpath by default.
I had the same question in my mind before and i had a different term for your word default and I called them built-in classes.
why is there no term to distinguish these ideas when teaching?
there is already but taught indirectly using the terms packages and namespaces
if there is a time that you will design a programminng language you can tell any developer what are those default or built classes by putting them in right packages and namespaces for example
mydefaultclasses.io.print
mydefaultclasses.io.read
in java its really understandable that any classes under java namespace is a default or built-in class. it really depends upon what will came up on the documentation of the language you are trying to learn.
Not sue if I totally understand your question, but you can find all the predefined classes in Java under the Java Class Library: Java Class Library.
Actually it is more powerful to have packages or namespaces. Your way of thinking is like an implementation that only supports two namespaces. The standard library (in this case the java.*, in c++ std) is one, the other is all your other stuff. After a while, you probably end up with a new set of "default" classes anyway and you put those in a package to avoid clutter your global namespace.

from java to javascript: the object model

I'm trying to port an application I wrote in java to javascript (actually using coffeescript).
Now, I'm feeling lost.. what do you suggest to do to create class properties? Should I use getter/setters? I don't like to do this:
myObj.prop = "hello"
because I could use non existing properties, and it would be easy to mispell something..
How can I get javascript to be a bit more like java, with private, public final properties etc..? Any suggestion?
If you just translate your Java code into JavaScript, you're going to be constantly fighting JavaScript's object model, which is prototype-based, not class-based. There are no private properties on objects, no final properties unless you're using an ES5-compatible engine (you haven't mentioned what your target runtime environment is; browsers aren't use ES5-compatible, it'll be another couple of years), no classes at all in fact.
Instead, I recommend you thoroughly brief yourself on how object orientation actually works in JavaScript, and then build your application fully embracing how JavaScript does it. This is non-trivial, but rewarding.
Some articles that may be of use. I start with closures because really understanding closures is absolutely essential to writing JavaScript, and most "private member" solutions rely on closures. Then I refer to a couple of articles by Douglas Crockford. Crockford is required reading if you're going to work in JavaScript, even if you end up disagreeing with some of his conclusions. Then I point to a couple of articles specifically addressing doing class-like things.
Closures are not complicated - Me
Prototypical inheritance in JavaScript - Crockford
Private Members in JavaScript - Crockford
Simple, Efficient Supercalls in JavaScript - Me Includes syntactic sugar to make it easier to set up hierarchies of objects (it uses class-based terminology, but actually it's just prototypical inheritance), including calling "superclass" methods.
Private Members in JavaScript - Me Listing Crockford's solution and others
Mythical Methods - Me
You must remember this - Me
Addressing some of your specific questions:
what do you suggest to do to create class properties? Should I use getter/setters? I don't like to do this:
myObj.prop = "hello"
because I could use non existing properties, and it would be easy to mispell something..
I don't, I prefer using TDD to ensure that if I do have a typo, it gets revealed in testing. (A good code-completing editor will also be helpful here, though really good JavaScript code-completing editors are thin on the ground.) But you're right that getters and setters in the Java sense (methods like getFoo and setFoo) would make it more obvious when you're creating/accessing a property that you haven't defined in advance (e.g., through a typo) by causing a runtime error, calling a function that doesn't exist. (I say "in the Java sense" because JavaScript as of ES5 has a different kind of "getters" and "setters" that are transparent and wouldn't help with that.) So that's an argument for using them. If you do, you might look at using Google's Closure compiler for release builds, as it will inline them.
How can I get javascript to be a bit more like java, with private...
I've linked Crockford's article on private members, and my own which lists other ways. The very basic explanation of the Crockford model is: You use a variable in the context created by the call to your constructor function and a function created within that context (a closure) that has access to it, rather than an object property:
function Foo() {
var bar;
function Foo_setBar(b) {
bar = b;
}
function Foo_getBar() {
return bar;
}
this.setBar = Foo_setBar;
this.getBar = Foo_getBar;
}
bar is not an object property, but the functions defined in the context with it have an enduring reference to it. This is totally fine if you're going to have a smallish number of Foo objects. If you're going to have thousands of Foo objects you might want to reconsider, because each and every Foo object has its own two functions (really genuinely different Function instances) for Foo_getBar and Foo_setBar.
You'll frequently see the above written like this:
function Foo() {
var bar;
this.setBar = function(b) {
bar = b;
};
this.getBar = function() {
return bar;
};
}
Yes, it's briefer, but now the functions don't have names, and giving your functions names helps your tools help you.
How can I get javascript to be a bit more like java, with...public final properties
You can define a Java-style getter with no setter. Or if your target environment will be ES5-compliant (again, browsers aren't yet, it'll be another couple of years), you could use the new Object.defineProperty feature that allows you to set properties that cannot be written to.
But my main point is to embrace the language and environment in which you're working. Learn it well, and you'll find that different patterns apply than in Java. Both are great languages (I use them both a lot), but they work differently and lead to different solutions.
You can use module pattern to make private properties and public accessors as one more option.
This doesn't directly answer your question, but I would abandon the idea of trying to make the JavaScript app like Java. They really are different languages (despite some similarities in syntax and in their name). As a general statement, it makes sense to adopt the idioms of the target language when porting something.
Currently there are many choices for you , you can check dojo library. In dojo, you can code mostly like java programming
Class
Javascript doesn’t have a Class system like Java,dojo provide dojo.declare to define a functionality to simulate this. Check this page . There are field variable, constructor method, extend from other class.
JavaScript has a feature that constructor functions may return any object (not necesserily this). So, your constructor function could just return a proxy object, that allows access only to the public methods of your class. Using this method you can create real protected member, just like in Java (with inheritance, super() call, etc.)
I created a little library to streamline this method: http://idya.github.com/oolib/
Dojo is one option. I personally prefer Prototype. It also has a framework and API for creating classes and using inheritance in a more "java-ish" way. See the Class.create method in the API. I've used it on multiple webapps I've worked on.
I mainly agree with #Willie Wheeler that you shouldn't try too hard to make your app like Java - there are ways of using JavaScript to create things like private members etc - Douglas Crockford and others have written about this kind of thing.
I'm the author of the CoffeeScript book from PragProg. Right now, I use CoffeeScript as my primary language; I got fluent in JavaScript in the course of learning CoffeeScript. But before that, my best language was Java.
So I know what you're going through. Java has a very strong set of best practices that give you a clear idea of what good code is: clean encapsulation, fine-grained exceptions, thorough JavaDocs, and GOF design patterns all over the place. When you switch to JavaScript, that goes right out the window. There are few "best practices," and more of a vague sense of "this is elegant." Then when you start seeing bugs, it's incredibly frustrating—there are no compile-time errors, and far fewer, less precise runtime errors. It's like playing without a net. And while CoffeeScript adds some syntactic sugar that might look familiar to Java coders (notably classes), it's really no less of a leap.
Here's my advice: Learn to write good CoffeeScript/JavaScript code. Trying to make it look like Java is the path to madness (and believe me, many have tried; see: just about any JS code released by Google). Good JS code is more minimalistic. Don't use get/set methods; use exceptions sparingly; and don't use classes or design patterns for everything. JS is ultimately a more expressive language than Java is, and CoffeeScript even moreso. Once you get used to the feeling of danger that comes with it, you'll like it.
One note: JavaScripters are, by and large, terrible when it comes to testing. There are plenty of good JS testing frameworks out there, but robust testing is much rarer than in the Java world. So in that regard, there's something JavaScripters can learn from Java coders. Using TDD would also be a great way of easing your concerns about how easy it is to make errors that, otherwise, wouldn't get caught until some particular part of your application runs.

As a Java programmer learning Python, what should I look out for? [closed]

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Much of my programming background is in Java, and I'm still doing most of my programming in Java. However, I'm starting to learn Python for some side projects at work, and I'd like to learn it as independent of my Java background as possible - i.e. I don't want to just program Java in Python. What are some things I should look out for?
A quick example - when looking through the Python tutorial, I came across the fact that defaulted mutable parameters of a function (such as a list) are persisted (remembered from call to call). This was counter-intuitive to me as a Java programmer and hard to get my head around. (See here and here if you don't understand the example.)
Someone also provided me with this list, which I found helpful, but short. Anyone have any other examples of how a Java programmer might tend to misuse Python...? Or things a Java programmer would falsely assume or have trouble understanding?
Edit: Ok, a brief overview of the reasons addressed by the article I linked to to prevent duplicates in the answers (as suggested by Bill the Lizard). (Please let me know if I make a mistake in phrasing, I've only just started with Python so I may not understand all the concepts fully. And a disclaimer - these are going to be very brief, so if you don't understand what it's getting at check out the link.)
A static method in Java does not translate to a Python classmethod
A switch statement in Java translates to a hash table in Python
Don't use XML
Getters and setters are evil (hey, I'm just quoting :) )
Code duplication is often a necessary evil in Java (e.g. method overloading), but not in Python
(And if you find this question at all interesting, check out the link anyway. :) It's quite good.)
Don't put everything into classes. Python's built-in list and dictionaries will take you far.
Don't worry about keeping one class per module. Divide modules by purpose, not by class.
Use inheritance for behavior, not interfaces. Don't create an "Animal" class for "Dog" and "Cat" to inherit from, just so you can have a generic "make_sound" method.
Just do this:
class Dog(object):
def make_sound(self):
return "woof!"
class Cat(object):
def make_sound(self):
return "meow!"
class LolCat(object):
def make_sound(self):
return "i can has cheezburger?"
The referenced article has some good advice that can easily be misquoted and misunderstood. And some bad advice.
Leave Java behind. Start fresh. "do not trust your [Java-based] instincts". Saying things are "counter-intuitive" is a bad habit in any programming discipline. When learning a new language, start fresh, and drop your habits. Your intuition must be wrong.
Languages are different. Otherwise, they'd be the same language with different syntax, and there'd be simple translators. Because there are not simple translators, there's no simple mapping. That means that intuition is unhelpful and dangerous.
"A static method in Java does not translate to a Python classmethod." This kind of thing is really limited and unhelpful. Python has a staticmethod decorator. It also has a classmethod decorator, for which Java has no equivalent.
This point, BTW, also included the much more helpful advice on not needlessly wrapping everything in a class. "The idiomatic translation of a Java static method is usually a module-level function".
The Java switch statement in Java can be implemented several ways. First, and foremost, it's usually an if elif elif elif construct. The article is unhelpful in this respect. If you're absolutely sure this is too slow (and can prove it) you can use a Python dictionary as a slightly faster mapping from value to block of code. Blindly translating switch to dictionary (without thinking) is really bad advice.
Don't use XML. Doesn't make sense when taken out of context. In context it means don't rely on XML to add flexibility. Java relies on describing stuff in XML; WSDL files, for example, repeat information that's obvious from inspecting the code. Python relies on introspection instead of restating everything in XML.
But Python has excellent XML processing libraries. Several.
Getters and setters are not required in Python they way they're required in Java. First, you have better introspection in Python, so you don't need getters and setters to help make dynamic bean objects. (For that, you use collections.namedtuple).
However, you have the property decorator which will bundle getters (and setters) into an attribute-like construct. The point is that Python prefers naked attributes; when necessary, we can bundle getters and setters to appear as if there's a simple attribute.
Also, Python has descriptor classes if properties aren't sophisticated enough.
Code duplication is often a necessary evil in Java (e.g. method overloading), but not in Python. Correct. Python uses optional arguments instead of method overloading.
The bullet point went on to talk about closure; that isn't as helpful as the simple advice to use default argument values wisely.
One thing you might be used to in Java that you won't find in Python is strict privacy. This is not so much something to look out for as it is something not to look for (I am embarrassed by how long I searched for a Python equivalent to 'private' when I started out!). Instead, Python has much more transparency and easier introspection than Java. This falls under what is sometimes described as the "we're all consenting adults here" philosophy. There are a few conventions and language mechanisms to help prevent accidental use of "unpublic" methods and so forth, but the whole mindset of information hiding is virtually absent in Python.
The biggest one I can think of is not understanding or not fully utilizing duck typing. In Java you're required to specify very explicit and detailed type information upfront. In Python typing is both dynamic and largely implicit. The philosophy is that you should be thinking about your program at a higher level than nominal types. For example, in Python, you don't use inheritance to model substitutability. Substitutability comes by default as a result of duck typing. Inheritance is only a programmer convenience for reusing implementation.
Similarly, the Pythonic idiom is "beg forgiveness, don't ask permission". Explicit typing is considered evil. Don't check whether a parameter is a certain type upfront. Just try to do whatever you need to do with the parameter. If it doesn't conform to the proper interface, it will throw a very clear exception and you will be able to find the problem very quickly. If someone passes a parameter of a type that was nominally unexpected but has the same interface as what you expected, then you've gained flexibility for free.
The most important thing, from a Java POV, is that it's perfectly ok to not make classes for everything. There are many situations where a procedural approach is simpler and shorter.
The next most important thing is that you will have to get over the notion that the type of an object controls what it may do; rather, the code controls what objects must be able to support at runtime (this is by virtue of duck-typing).
Oh, and use native lists and dicts (not customized descendants) as far as possible.
The way exceptions are treated in Python is different from
how they are treated in Java. While in Java the advice
is to use exceptions only for exceptional conditions this is not
so with Python.
In Python things like Iterator makes use of exception mechanism to signal that there are no more items.But such a design is not considered as good practice in Java.
As Alex Martelli puts in his book Python in a Nutshell
the exception mechanism with other languages (and applicable to Java)
is LBYL (Look Before You Leap) :
is to check in advance, before attempting an operation, for all circumstances that might make the operation invalid.
Where as with Python the approach is EAFP (it's easier to Ask for forgiveness than permission)
A corrollary to "Don't use classes for everything": callbacks.
The Java way for doing callbacks relies on passing objects that implement the callback interface (for example ActionListener with its actionPerformed() method). Nothing of this sort is necessary in Python, you can directly pass methods or even locally defined functions:
def handler():
print("click!")
button.onclick(handler)
Or even lambdas:
button.onclick(lambda: print("click!\n"))

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