Idiomatic `is not` in Dart - dart

Is there a more idiomaic way to express "is not" than !(o is T)?
/// Object (o) is not type (T)
///
/// Syntax that works but is not concise: `!(o is T)`
final word = 'drow';
if (!(word is String)) print('undoable');

You can use o is! T:
if (word is! String) print('undoable');
See Type test operators.

Related

TypeScript const assertions: how to use Array.prototype.includes?

I am trying to use an array of elements as union type, something that became easy with const assertions in TS 3.4, so I can do this:
const CAPITAL_LETTERS = ['A', 'B', 'C', ..., 'Z'] as const;
type CapitalLetter = typeof CAPITAL_LETTERS[string];
Now I want to test whether a string is a capital letter, but the following fails with "not assignable to parameter of type":
let str: string;
...
CAPITAL_LETTERS.includes(str);
Is there any better way to fix this rather than casting CAPITAL_LETTERS to unknown and then to Array<string>?
The standard library signature for Array<T>.includes(u) assumes that the value to be checked is of the same or narrower type than the array's elements T. But in your case you are doing the opposite, checking against a value which is of a wider type. In fact, the only time you would say that Array<T>.includes<U>(x: U) is a mistake and must be prohibited is if there is no overlap between T and U (i.e., when T & U is never).
Now, if you're not going to be doing this sort of "opposite" use of includes() very often, and you want zero runtime efects, you should just widen CAPITAL_LETTERS to ReadonlyArray<string> via type assertion:
(CAPITAL_LETTERS as ReadonlyArray<string>).includes(str); // okay
If, on the other hand, you feel seriously enough that this use of includes() should be accepted with no type assertions, and you want it to happen in all of your code, you could merge in a custom declaration:
// global augmentation needed if your code is in a module
// if your code is not in a module, get rid of "declare global":
declare global {
interface ReadonlyArray<T> {
includes<U>(x: U & ((T & U) extends never ? never : unknown)): boolean;
}
}
That will make it so that an array (well, a readonly array, but that's what you have in this example) will allow any parameter for .includes() as long as there is some overlap between the array element type and the parameter type. Since string & CapitalLetter is not never, it will allow the call. It will still forbid CAPITAL_LETTERS.includes(123), though.
Okay, hope that helps; good luck!
Another way to solve it is with a type guard
https://www.typescriptlang.org/docs/handbook/advanced-types.html#user-defined-type-guards
const myConstArray = ["foo", "bar", "baz"] as const
function myFunc(x: string) {
//Argument of type 'string' is not assignable to parameter of type '"foo" | "bar" | "baz"'.
if (myConstArray.includes(x)) {
//Hey, a string could totally be one of those values! What gives, TS?
}
}
//get the string union type
type TMyConstArrayValue = typeof myConstArray[number]
//Make a type guard
//Here the "x is TMyConstArrayValue" tells TS that if this fn returns true then x is of that type
function isInMyConstArray(x: string): x is TMyConstArrayValue {
return myConstArray.includes(x as TMyConstArrayValue)
//Note the cast here, we're doing something TS things is unsafe but being explicit about it
//I like to this of type guards as saying to TS:
//"I promise that if this fn returns true then the variable is of the following type"
}
function myFunc2(x: string) {
if (isInMyConstArray(x)) {
//x is now "foo" | "bar" | "baz" as originally intended!
}
}
While you have to introduce another "unnecessary" function this ends up looking clean and working perfectly. In your case you would add
const CAPITAL_LETTERS = ['A', 'B', 'C', ..., 'Z'] as const;
type CapitalLetter = typeof CAPITAL_LETTERS[string];
function isCapitalLetter(x: string): x is CapitalLetter {
return CAPITAL_LETTERS.includes(x as CapitalLetter)
}
let str: string;
isCapitalLetter(str) //Now you have your comparison
//Not any more verbose than writing .includes inline
if(isCapitalLetter(str)){
//now str is of type CapitalLetter
}
Here's a solution that works well for strings & string literals using TypeScript 4.1 Template Literal Types that doesn't break anything else, and also narrows the type for convenience when used in conditions:
declare global {
interface ReadonlyArray<T> {
includes<S, R extends `${Extract<S, string>}`>(
this: ReadonlyArray<R>,
searchElement: S,
fromIndex?: number
): searchElement is R & S;
}
}
Originally posted by noppa in a TypeScript github issue related to this.
Adding to #imagio's answer, you can make the genetic type guard (thanks to #wprl for simplification)
function isIn<T>(values: readonly T[], x: any): x is T {
return values.includes(x);
}
And use it with any as const array:
const specialNumbers = [0, 1, 2, 3] as const;
function foo(n: number) {
if (isIn(specialNumbers, n)) {
//TypeScript will say that `s` has type `0 | 1 | 2 | 3` here
}
}
You can also create a curried version of Array.prototype.includes which works with tuples:
const PROPS = ['a', 'b', 'c'] as const;
const withTuple = <
List extends string[]
>(list: readonly [...List]) =>
(prop: string): prop is List[number] =>
list.includes(prop)
const includes = withTuple(PROPS);
const result = includes('d')
declare let str: string
if (includes(str)) {
str // "a" | "b" | "c"
}
Playground
Higher order function with list argument created for inference.
You can also check my article
Reassignment using a wider type annotation is potentially the simplest solution, if a little untidy due to adding an extraneous variable.
const CAPITAL_LETTERS = ['A', 'B', 'C', ..., 'Z'] as const;
const widenedCapitalLetters: string[] = CAPITAL_LETTERS
widenedCapitalLetters.includes("hello")
This allows you to keep the const assertion on the base array so you get the type narrowing you need.
using lodash
const CAPITAL_LETTERS = ['A', 'B', 'C', 'Z'] as const;
_.includes(CAPITAL_LETTERS, 'A');

F# type providers - how to assign a value to an Out parameter?

The constructor for ProvidedParameter accepts a value isOut:bool, which I take to mean that provided functions can support C# out parameters.
However, I can't find any way to construct an Expr to set the value of the out parameter in the InvokeCode. Here's an example:
testType.AddMember(
let outParam = ProvidedParameter("outDate", typeof<DateTime>, true)
let outFunc = ProvidedMethod("GetTomorrow", [outParam], typeof<unit>)
do outFunc.InvokeCode <-
fun p ->
// "Invalid expression on left of assignment"
<## do %%(p.[1]) <- DateTime.Today.AddDays 1.0 ##>
outFunc)
I also wasn't able to do it using the static functions in the Microsoft.FSharp.Quotations.Expr type. I can't figure out how to get from p.[1], which is an Expr, to a Var, which appears to be required for every sort of let/set expression.

define a F# function and avoid the return value

define a function that has a single parameter of type string which which displayed on console. invoke the function passing it a message. ensure the function ignores any returned value
open System
let NoReturnFunction msg =
Console.WriteLine(string(msg))
NoReturnFunction "Hello World"
I am in a trouble to how to avoid return value of function
In this case there is no work to do because the WriteLine method doesn't return any values. It's a void returning function. In general though the way to ignore a return value in F# is to use the ignore function.
1 + 2 |> ignore
Couple of minor nit picks on the your code sample. The first is you can avoid the cast to string by simply typing the parameter. Second in F# it's more idiomatic to use the printfn function instead of Console.WriteLine
let NoReturnFunction (msg : string) =
printfn "%s" msg
For sake of completeness, you can also let F# infer the parameter type and the return type--like so:
let NoReturnFunction st = printfn "%s" st
This infers the type of s and the return type of NoReturnFunction (unit in this case).

Scala read-eval-print using RegexParser without so much boilerplate?

I'm implementing part of a Scala program that takes input strings of the form "functionName arg1=x1 arg2=x2 ...", parses the xi to the correct types, and then calls a corresponding Scala function functionName(x1,x2,...). The code below is an example implementation with two functions foo and bar, which take different kinds of arguments.
Notice that the types and argument names of foo and bar have to be handwritten into the code in several places: the original function definitions, defining the case classes that the parser returns, and the parsers themselves. The case classes returned by the parser also do basically nothing interesting -- I'm tempted to just call foo and bar from within the parser, but I feel like that would be icky.
My question is: can this implementation be simplified? In practice, I will have many functions with complicated argument types, and I'd prefer to be able to specify those types as few times as possible, and perhaps also not have to define corresponding case classes.
type Word = String
// the original function definitions
def foo(x: Int, w: Word) = println("foo called with " + x + " and " + w)
def bar(y: Int, z: Int) = println("bar called with " + y + " and " + z)
// the return type for the parser
abstract class Functions
case class Foo(x: Int, w: Word) extends Functions
case class Bar(y: Int, z: Int) extends Functions
object FunctionParse extends RegexParsers {
val int = """-?\d+""".r ^^ (_.toInt)
val word = """[a-zA-Z]\w*""".r
val foo = "foo" ~> ("x=" ~> int) ~ ("w=" ~> word) ^^ { case x~w => Foo(x,w) }
val bar = "bar" ~> ("y=" ~> int) ~ ("z=" ~> int) ^^ { case y~z => Bar(y,z) }
val function = foo | bar
def parseString(s: String) = parse(function, s)
}
def main(args: Array[String]) = {
FunctionParse.parseString(args.mkString(" ")) match {
case FunctionParse.Success(result, _) => result match {
case Foo(x, w) => foo(x, w)
case Bar(y, z) => bar(y, z)
}
case _ => println("sux.")
}
}
Edit: I should note that in my case, the specific format above for the input string is not very important -- I'm happy to change it (use xml or whatever) if it results in cleaner, simpler Scala code.
You want reflection, to put it simply. Reflection means finding out, instantiating and calling classes and methods at runtime instead of compile time. For example:
scala> val clazz = Class forName "Foo"
clazz: Class[_] = class Foo
scala> val constructors = clazz.getConstructors
constructors: Array[java.lang.reflect.Constructor[_]] = Array(public Foo(int,java.lang.String))
scala> val constructor = constructors(0)
constructor: java.lang.reflect.Constructor[_] = public Foo(int,java.lang.String)
scala> constructor.getParameter
getParameterAnnotations getParameterTypes
scala> val parameterTypes = constructor.getParameterTypes
parameterTypes: Array[Class[_]] = Array(int, class java.lang.String)
scala> constructor.newInstance(5: Integer, "abc")
res6: Any = Foo(5,abc)
This is all Java reflection. Scala 2.9 still doesn't have a Scala-specific reflection interface, though one is already in development and might well be available on the next version of Scala.
What you're doing looks very reasonable. The only way to 'simplify' it in my mind would be to have less explicit types and/or use reflection to look up the appropriate function...
Update: Daniel's answer is a good example of how to use reflection. In terms of less explicit types, you would have to have the function arguments to be Any...

How does F# compile functions that can take multiple different parameter types into IL?

I know virtually nothing about F#. I don’t even know the syntax, so I can’t give examples.
It was mentioned in a comment thread that F# can declare functions that can take parameters of multiple possible types, for example a string or an integer. This would be similar to method overloads in C#:
public void Method(string str) { /* ... */ }
public void Method(int integer) { /* ... */ }
However, in CIL you cannot declare a delegate of this form. Each delegate must have a single, specific list of parameter types. Since functions in F# are first-class citizens, however, it would seem that you should be able to pass such a function around, and the only way to compile that into CIL is to use delegates.
So how does F# compile this into CIL?
This question is a little ambiguous, so I'll just ramble about what's true of F#.
In F#, methods can be overloaded, just like C#. Methods are always accessed by a qualified name of the form someObj.MethodName or someType.MethodName. There must be context which can statically resolve the overload at compile-time, just as in C#. Examples:
type T() =
member this.M(x:int) = ()
member this.M(x:string) = ()
let t = new T()
// these are all ok, just like C#
t.M(3)
t.M("foo")
let f : int -> unit = t.M
let g : string-> unit = t.M
// this fails, just like C#
let h = t.M // A unique overload for method 'M' could not be determined
// based on type information prior to this program point.
In F#, let-bound function values cannot be overloaded. So:
let foo(x:int) = ()
let foo(x:string) = () // Duplicate definition of value 'foo'
This means you can never have an "unqualified" identifier foo that has overloaded meaning. Each such name has a single unambiguous type.
Finally, the crazy case which is probably the one that prompts the question. F# can define inline functions which have "static member constraints" which can be bound to e.g. "all types T that have a member property named Bar" or whatnot. This kind of genericity cannot be encoded into CIL. Which is why the functions that leverage this feature must be inline, so that at each call site, the code specific-to-the-type-used-at-that-callsite is generated inline.
let inline crazy(x) = x.Qux(3) // elided: type syntax to constrain x to
// require a Qux member that can take an int
// suppose unrelated types U and V have such a Qux method
let u = new U()
crazy(u) // is expanded here into "u.Qux(3)" and then compiled
let v = new V()
crazy(v) // is expanded here into "v.Qux(3)" and then compiled
So this stuff is all handled by the compiler, and by the time we need to generate code, once again, we've statically resolved which specific type we're using at this callsite. The "type" of crazy is not a type that can be expressed in CIL, the F# type system just checks each callsite to ensure the necessary conditions are met and inlines the code into that callsite, a lot like how C++ templates work.
(The main purpose/justification for the crazy stuff is for overloaded math operators. Without the inline feature, the + operator, for instance, being a let-bound function type, could either "only work on ints" or "only work on floats" or whatnot. Some ML flavors (F# is a relative of OCaml) do exactly that, where e.g. the + operator only works on ints, and a separate operator, usually named +., works on floats. Whereas in F#, + is an inline function defined in the F# library that works on any type with a + operator member or any of the primitive numeric types. Inlining can also have some potential run-time performance benefits, which is also appealing for some math-y/computational domains.)
When you're writing C# and you need a function that can take multiple different parameter sets, you just create method overloads:
string f(int x)
{
return "int " + x;
}
string f(string x)
{
return "string " + x;
}
void callF()
{
Console.WriteLine(f(12));
Console.WriteLine(f("12"));
}
// there's no way to write a function like this:
void call(Func<int|string, string> func)
{
Console.WriteLine(func(12));
Console.WriteLine(func("12"));
}
The callF function is trivial, but my made-up syntax for the call function doesn't work.
When you're writing F# and you need a function that can take multiple different parameter sets, you create a discriminated union that can contain all the different parameter sets and you make a single function that takes that union:
type Either = Int of int
| String of string
let f = function Int x -> "int " + string x
| String x -> "string " + x
let callF =
printfn "%s" (f (Int 12))
printfn "%s" (f (String "12"))
let call func =
printfn "%s" (func (Int 12))
printfn "%s" (func (String "12"))
Being a single function, f can be used like any other value, so in F# we can write callF and call f, and both do the same thing.
So how does F# implement the Either type I created above? Essentially like this:
public abstract class Either
{
public class Int : Test.Either
{
internal readonly int item;
internal Int(int item);
public int Item { get; }
}
public class String : Test.Either
{
internal readonly string item;
internal String(string item);
public string Item { get; }
}
}
The signature of the call function is:
public static void call(FSharpFunc<Either, string> f);
And f looks something like this:
public static string f(Either _arg1)
{
if (_arg1 is Either.Int)
return "int " + ((Either.Int)_arg1).Item;
return "string " + ((Either.String)_arg1).Item;
}
Of course you could implement the same Either type in C# (duh!), but it's not idiomatic, which is why it wasn't the obvious answer to the previous question.
Assuming I understand the question, in F# you can define expressions which depend on the availability of members with particular signatures. For instance
let inline f x a = (^t : (member Method : ^a -> unit)(x,a))
This defines a function f which takes a value x of type ^t and a value a of type ^a where ^t has a method Method taking an ^a to unit (void in C#), and which calls that method. Because this function is defined as inline, the definition is inlined at the point of use, which is the only reason that it can be given such a type. Thus, although you can pass f as a first class function, you can only do so when the types ^t and ^a are statically known so that the method call can be statically resolved and inserted in place (and this is why the type parameters have the funny ^ sigil instead of the normal ' sigil).
Here's an example of passing f as a first-class function:
type T() =
member x.Method(i) = printfn "Method called with int: %i" i
List.iter (f (new T())) [1; 2; 3]
This runs the method Method against the three values in the list. Because f is inlined, this is basically equivalent to
List.iter ((fun (x:T) a -> x.Method(a)) (new T())) [1; 2; 3]
EDIT
Given the context that seems to have led to this question (C# - How can I “overload” a delegate?), I appear not to have addressed your real question at all. Instead, what Gabe appears to be talking about is the ease with which one can define and use discriminated unions. So the question posed on that other thread might be answered like this using F#:
type FunctionType =
| NoArgument of (unit -> unit)
| ArrayArgument of (obj[] -> unit)
let doNothing (arr:obj[]) = ()
let doSomething () = printfn "'doSomething' was called"
let mutable someFunction = ArrayArgument doNothing
someFunction <- NoArgument doSomething
//now call someFunction, regardless of what type of argument it's supposed to take
match someFunction with
| NoArgument f -> f()
| ArrayArgument f -> f [| |] // pass in empty array
At a low level, there's no CIL magic going on here; it's just that NoArgument and ArrayArgument are subclasses of FunctionType which are easy to construct and to deconstruct via pattern matching. The branches of the pattern matching expression are morally equivalent to a type test followed by property accesses, but the compiler makes sure that the cases have 100% coverage and don't overlap. You could encode the exact same operations in C# without any problem, but it would be much more verbose and the compiler wouldn't help you out with exhaustiveness checking, etc.
Also, there is nothing here which is particular to functions; F# discriminated unions make it easy to define types which have a fixed number of named alternatives, each one of which can have data of whatever type you'd like.
I'm not quite sure that understand your question correctly... F# compiler uses FSharpFunc type to represent functions. Usually in F# code you don't deal with this type directly, using fancy syntactic representation instead, but if you expose any members that returns or accepts function and use them from another language, line C# - you will see it.
So instead of using delegates - F# utilizes its special type with concrete or generic parameters.
If your question was about things like add something-i-don't-know-what-exactly-but-it-has-addition-operator then you need to use inline keyword and compiler will emit function body in the call site. #kvb's answer was describing exactly this case.

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