I'm calling a procedure with an argument which is an integer_64. I implemented a WATT class which can create it from an INTEGER_64 and it seems the execution stops when reached this point, where am I wrong?
Catcall detected for argument#1args': expected TUPLE [!WATT] but got TUPLE [INTEGER_64]`
Attached case (Update)
Actually when checking with syntax
attached {INTEGER_64} my_watt_object as l_int
it doesn't pass either... is it the expected behaviour?
Actually it seems for me that the semantic cases are the same which have to validate the conformity step... for me (but seems not to be the case for the definition of the language between conformance/conformity) which says
Conformance and convertibility are exclusive of each other,
p.87
Is the conformance rule valid for a type which defines as convert a type to another which is my case from WATT to INTEGER_64?
In Eiffel, the conversion specified by the language works only at compile time. It applies if the source of a reattachment does not conform to the target of the reattachment at compile time and there is the corresponding conversion feature.
No automatic conversion is performed at run-time. If you need this functionality, you need to implement it yourself. In your example, if the argument type is WATT, you need to call the conversion from INTEGER_64 to WATT explicitly, and pass the object of type WATT, not INTEGER_64.
Related
I am learning Editor Script of Unity recently, and I come across a piece of code in Unity Manual like this:
EditorWindowTest window = (EditorWindowTest)EditorWindow.GetWindow(typeof(EditorWindowTest), true, "My Empty Window");
I don't know why bother casting the result with (EditorWindowTest) again since the type has been specified in the parameter field of GetWindow().
Thanks in advance :)
There are multiple overloads of the EditorWindow.GetWindow method.
The one used in your code snippet is one of the non-generic ones. It accepts a Type argument which it can use at runtime to create the right type of window. However, since it doesn't use generics, it's not possible to know the type of the window at compile time, so the method just returns an EditorWindow, as that's the best it can do.
You can hover over a method in your IDE to see the return type of any method for yourself.
When using one of the generic overloads of the GetWindow method, you don't need to do any manual casting, since the method already knows at compile time the exact type of the window and returns an instance of that type directly.
The generic variants should be used when possible, because it makes the code safer by removing the need for casting at runtime, which could cause exceptions.
If you closely look, GetWindow's return type is EditorWindow. Not the EditorWindowTest, so typecasting makes sense.
https://docs.unity3d.com/ScriptReference/EditorWindow.GetWindow.html
I am reading through "A Minizinc Tutorial" by Kim Marriott and it says that
the combination of variable instantiation and type is called type-inst. As you start to use Minizinc, you will undoubtedly see examples of type-inst errors.
What exactly are type-inst errors?
I believe the terminology is not often used in the MiniZinc literature these days, but for every value in MiniZinc the compiler keeps track of two things: it's type (int, bool, float, etc.) and if it is a decision variable (not known at solve time) or a problem parameter (must be known when rewriting the model for the solver). Together these two things are called the Type Instantiation or type-inst.
A type-inst error is an error given by the type checker of the compiler. These error can occur in many places, such as when in a declaration the declared type instantiation doesn't match it's right hand side, or when two side of an if-then-else have a different type-instantiation, or when the arguments of a call do not match the declared type-instantiation of the function-declaration.
The mismatch that causes these errors can come from either side of the type-inst: either the types are incompatible (e.g. used float instead of bool), or you used a decision variable where only a problem parameter was allowed. These issues are usually caused by mistakes in the model and are usually resolved easily by changing the value used or using different language constructs.
Note that MiniZinc does allow sub-typing: You are allowed to use bool instead of int and it is converted to a 0/1 value. Similarly you can use a integer value instead of a float, and you can use a parameter in place of a variable.
The newest version of the MiniZinc Tutorial can be found with its documentation: https://www.minizinc.org/doc-latest/en/part_2_tutorial.html
This question may be very silly, but I am a little confused which is the best way to do in scala.
In scala, compiler does the type inference and assign the most closest(or may be Restrictive) type for each variable or a method.
I am new to scala, and from many sample code/ libraries, I have noticed that in many places people are not explicitly providing the types for most of the time. But, in most of the code I wrote, I was/still am explicitly providing the types. For eg:
val someVal: String = "def"
def getMeResult() : List[String]= {
val list:List[String] = List("abc","def")
list
}
The reason I started to write this especially for method return type is that, when I write a method itself, I know what it should return. So If I explicitly provide the return type, I can find out if I am making any mistakes. Also, I felt it is easier to understand what that method returns by reading the return type itself. Otherwise, I will have to check what the return type of the last statement.
So my questions/doubts are :
1. Does it take less compilation time since the compiler doesn't have to infer much? Or it doesn't matter much ?
2. What is the normal standard in the scala world?
From "Scala in Depth" chapter 4.5:
For a human reading a nontrivial method implementation, infering the
return type can be troubling. It’s best to explicitly document and
enforce return types in public APIs.
From "Programming in Scala" chapter 2:
Sometimes the Scala compiler will require you to specify the result
type of a function. If the function is recursive, for example, you
must explicitly specify the function’s result type.
It is often a good idea to indicate function result types explicitly.
Such type annotations can make the code easier to read, because the
reader need not study the function body to figure out the inferred
result type.
From "Scala in Action" chapter 2.2.3:
It’s a good practice to specify the return type for the users of the
library. If you think it’s not clear from the function what its return
type is, either try to improve the name or specify the return type.
From "Programming Scala" chapter 1:
Recursive functions are one exception where the execution scope
extends beyond the scope of the body, so the return type must be
declared.
For simple functions perhaps it’s not that important to show it
explicitly. However, sometimes the inferred type won’t be what’s
expected. Explicit return types provide useful documentation for the
reader. I recommend adding return types, especially in public APIs.
You have to provide explicit return types in the following cases:
When you explicitly call return in a method.
When a method is recursive.
When two or more methods are overloaded and one of them calls another; the calling method needs a return type annotation.
When the inferred return type would be more general than you intended, e.g., Any.
Another reason which has not yet been mentioned in the other answers is the following. You probably know that it is a good idea to program to an interface, not an implementation.
In the case of return values of functions or methods, that means that you don't want users of the function or method to know what specific implementation of some interface (or trait) the function returns - that's an implementation detail you want to hide.
If you write a method like this:
trait Example
class ExampleImpl1 extends Example { ... }
class ExampleImpl2 extends Example { ... }
def example() = new ExampleImpl1
then the return type of the method will be inferred to be ExampleImpl1 - so, it is exposing the fact that it is returning a specific implementation of trait Example. You can use an explicit return type to hide this:
def example(): Example = new ExampleImpl1
The standard rule is to use explicit types for API (in order to specify the type precisely and as a guard against refactoring) and also for implicits (especially because implicits without an explicit type may be ignored if the definition site is after the use site).
To the first question, type inference can be a significant tax, but that is balanced against the ease of both writing and reading expressions.
In the example, the type on the local list is not even a "better java." It's just visual clutter.
However, it should be easy to read the inferred type. Occasionally, I have to fire up the IDE just to tell me what is inferred.
By implication, methods should be short enough so that it's easy to scan for the result type.
Sorry for the lack of references. Maybe someone else will step forward; the topic is frequent on MLs and SO.
2. The scala style guide says
Use type inference where possible, but put clarity first, and favour explicitness in public APIs.
You should almost never annotate the type of a private field or a local variable, as their type will usually be immediately evident in their value:
private val name = "Daniel"
However, you may wish to still display the type where the assigned value has a complex or non-obvious form.
All public methods should have explicit type annotations. Type inference may break encapsulation in these cases, because it depends on internal method and class details. Without an explicit type, a change to the internals of a method or val could alter the public API of the class without warning, potentially breaking client code. Explicit type annotations can also help to improve compile times.
The twitter scala style guide says of method return types:
While Scala allows these to be omitted, such annotations provide good documentation: this is especially important for public methods. Where a method is not exposed and its return type obvious, omit them.
I think there's a broad consensus that explicit types should be used for public APIs, and shouldn't be used for most local variable declarations. When to use explicit types for "internal" methods is less clear-cut and more a matter of judgement; different organizations have different standards.
1. Type inference doesn't seem to visibly affect compilation time for the line where the inference happens (aside from a few rare cases with implicits which are basically compiler bugs) - after all, the compiler still has to check the type, which is pretty much the same calculation it would use to infer it. But if a method return type is inferred then anything using that method has to be recompiled when that method changes.
So inferring a method (or public variable) that's used in many places can slow down compilation (particularly if you're using incremental compilation). But inferring local or private variables, private methods, or public methods that are only used in one or two places, makes no (significant) difference.
Which of these two definitions is correct?
Statically typed - Type matching is checked at compile time (and therefore can only be applied to compiled languages)
Dynamically typed - Type matching is checked at run time, or not at all. (this term can be applied to compiled or interpreted languages)
Statically typed - Types are assigned to variables, so that I would say 'x is of type int'.
Dynamically typed - types are assigned to values (if at all), so that I would say 'x is holding an int'
By this definition, static or dynamic typing is not tied to compiled or interpreted languages.
Which is correct, or is neither one quite right?
Which is correct, or is neither one quite right?
The first pair of definitions are closer but not quite right.
Statically typed - Type matching is checked at compile time (and therefore can only be applied to compiled languages)
This is tricky. I think if a language were interpreted but did type checking before execution began then it would still be statically typed. The OCaml REPL is almost an example of this except it technically compiles (and type checks) source code into its own byte code and then interprets the byte code.
Dynamically typed - Type matching is checked at run time, or not at all.
Rather:
Dynamically typed - Type checking is done at run time.
Untyped - Type checking is not done.
Statically typed - Types are assigned to variables, so that I would say 'x is of type int'.
Dynamically typed - types are assigned to values (if at all), so that I would say 'x is holding an int'
Variables are irrelevant. Although you only see types explicitly in the source code of many statically typed languages at variable and function definitions all of the subexpressions also have static types. For example, "foo" + 3 is usually a static type error because you cannot add a string to an int but there is no variable involved.
One helpful way to look at the word static is this: static properties are those that hold for all possible executions of the program on all possible inputs. Then you can look at any given language or type system and consider which static properties can it verify, for example:
JavaScript: no segfaults/memory errors
Java/C#/F#: if a program compiled and a variable had a type T, then the variable only holds values of this type - in all executions. But, sadly, reference types also admit null as a value - the billion dollar mistake.
ML has no null, making the above guarantee stronger
Haskell can verify statements about side effects, for example a property such as "this program does not print anything on stdout"
Coq also verifies termination - "this program terminates on all inputs"
How much do you want to verify, this depends on taste and the problem at hand. All magic (verification) comes at price.
If you have never ever seen ML before, do give it a try. At least give 5 minutes of attention to Yaron Minsky's talk. It can change your life as a programmer.
The second is a better definition in my eyes, assuming you're not looking for an explanation as to why or how things work.
Better again would be to say that
Static typing gives variables an EXPLICIT type that CANNOT change
Dynamic typing gives variables an IMPLICIT type that CAN change
I like the latter definition. Consider the type checking when casting from a base class to a derived class in object oriented languages like Java or C++ which fits the second definition and not the first. It's a compiled language with (optional) dynamic type checking.
How do I check the type of a value on runtime?
I'd like to find out where I'm creating doubles.
If you're using Objective-C classes, then the [myObject isKindOfClass: [InterestingClass class]] test is available. If you're using primitive types (which your question, quoting the "double" type, suggests), then you can't. However unless you're doing some very funky stuff, the compiler can tell you when primitive types do or don't match up, and when it doesn't will perform implicit promotion to the desired type.
It would be beneficial to know a little more about what the specific problem is that you're trying to solve, because it may be that the solution doesn't involve detecting the creation of doubles at all :-).
With very few exceptions, you never need to check type at runtime. Typed variables can only hold their assigned types, and type promotion is determined at compile time.