JavaScript doesn’t have the concept of a fixed parameter list. For your own functions you can always specify as many parameters as you want and pass in as many as you want which ever type you want. For built-in functions, which correlate to native code, it depends. You asked on what it depends: Let’s look … Read more
The Haskell 98 Report has a section on Operator Applications that clears it up: An operator is either an operator symbol, such as + or $$, or is an ordinary identifier enclosed in grave accents (backquotes), such as `op`. For example, instead of writing the prefix application op x y, one can write the infix … Read more
A callable piece of code (routine) can be a Sub (called for a side effect/what it does) or a Function (called for its return value) or a mixture of both. As the documentation for MsgBox, Displays a message in a dialog box, waits for the user to click a button, and returns a value indicating … Read more
1.) There is a difference between method and function property declaration: interface InterfaceA { doSomething(data: object): boolean; // method declaration } interface InterfaceB { doSomething: (data: object) => boolean; // function as property declaration } 2.) TypeScript 2.6 introduces a compiler flag for stronger-typed, sound function types: Under –strictFunctionTypes function type parameter positions are checked … Read more
int Random() const { return var_ ? const_cast<ClassType*>(this)->newCall(4) : 0; } But it’s not a good idea. Avoid if it’s possible!
Functions are a type of object which are a type of value. Values can be stored in variables (and properties, and passed as arguments to functions, etc). A function declaration: Creates a named function Creates a variable in the current scope with the same name as the function (unless such a variable already exists) Assigns … Read more
declare x number; begin x := myfunc(myargs); end; Alternatively: select myfunc(myargs) from dual;
You’re probably looking for Generator Delegation (PEP380) For simple iterators, yield from iterable is essentially just a shortened form of for item in iterable: yield item def generator(iterable): for i in iterable: yield do_something(i) def generate_all(): yield from generator(get_the_list()) It’s pretty concise and also has a number of other advantages, such as being able to … Read more