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I'm really new to Swift and I just read that classes are passed by reference and arrays/strings etc. are copied.

Is the pass by reference the same way as in Objective-C or Java wherein you actually pass "a" reference or is it proper pass by reference?

 Answers

3

Types of Things in Swift

The rule is:

  • Class instances are reference types (i.e. your reference to a class instance is effectively a pointer)

  • Functions are reference types

  • Everything else is a value type; "everything else" simply means instances of structs and instances of enums, because that's all there is in Swift. Arrays and strings are struct instances, for example. You can pass a reference to one of those things (as a function argument) by using inout and taking the address, as newacct has pointed out. But the type is itself a value type.

What Reference Types Mean For You

A reference type object is special in practice because:

  • Mere assignment or passing to function can yield multiple references to the same object

  • The object itself is mutable even if the reference to it is a constant (let, either explicit or implied).

  • A mutation to the object affects that object as seen by all references to it.

Those can be dangers, so keep an eye out. On the other hand, passing a reference type is clearly efficient because only a pointer is copied and passed, which is trivial.

What Value Types Mean For You

Clearly, passing a value type is "safer", and let means what it says: you can't mutate a struct instance or enum instance through a let reference. On the other hand, that safety is achieved by making a separate copy of the value, isn't it? Doesn't that make passing a value type potentially expensive?

Well, yes and no. It isn't as bad as you might think. As Nate Cook has said, passing a value type does not necessarily imply copying, because let (explicit or implied) guarantees immutability so there's no need to copy anything. And even passing into a var reference doesn't mean that things will be copied, only that they can be if necessary (because there's a mutation). The docs specifically advise you not to get your knickers in a twist.

Sunday, September 18, 2022
 
pandoro
 
4

For the second part of your question, see the array page of the manual, which states (quoting) :

Array assignment always involves value copying. Use the reference operator to copy an array by reference.

And the given example :

<?php
$arr1 = array(2, 3);
$arr2 = $arr1;
$arr2[] = 4; // $arr2 is changed,
             // $arr1 is still array(2, 3)

$arr3 = &$arr1;
$arr3[] = 4; // now $arr1 and $arr3 are the same
?>


For the first part, the best way to be sure is to try ;-)

Consider this example of code :

function my_func($a) {
    $a[] = 30;
}

$arr = array(10, 20);
my_func($arr);
var_dump($arr);

It'll give this output :

array
  0 => int 10
  1 => int 20

Which indicates the function has not modified the "outside" array that was passed as a parameter : it's passed as a copy, and not a reference.

If you want it passed by reference, you'll have to modify the function, this way :

function my_func(& $a) {
    $a[] = 30;
}

And the output will become :

array
  0 => int 10
  1 => int 20
  2 => int 30

As, this time, the array has been passed "by reference".


Don't hesitate to read the References Explained section of the manual : it should answer some of your questions ;-)

Friday, December 9, 2022
 
4

The short answer is, Python always does pass-by-value, but every Python variable is actually a pointer to some object, so sometimes it looks like pass-by-reference.

In Python every object is either mutable or non-mutable. e.g., lists, dicts, modules and Pandas data frames are mutable, and ints, strings and tuples are non-mutable. Mutable objects can be changed internally (e.g., add an element to a list), but non-mutable objects cannot.

As I said at the start, you can think of every Python variable as a pointer to an object. When you pass a variable to a function, the variable (pointer) within the function is always a copy of the variable (pointer) that was passed in. So if you assign something new to the internal variable, all you are doing is changing the local variable to point to a different object. This doesn't alter (mutate) the original object that the variable pointed to, nor does it make the external variable point to the new object. At this point, the external variable still points to the original object, but the internal variable points to a new object.

If you want to alter the original object (only possible with mutable data types), you have to do something that alters the object without assigning a completely new value to the local variable. This is why letgo() and letgo3() leave the external item unaltered, but letgo2() alters it.

As @ursan pointed out, if letgo() used something like this instead, then it would alter (mutate) the original object that df points to, which would change the value seen via the global a variable:

def letgo(df):
    df.drop('b', axis=1, inplace=True)

a = pd.DataFrame({'a':[1,2], 'b':[3,4]})
letgo(a)  # will alter a

In some cases, you can completely hollow out the original variable and refill it with new data, without actually doing a direct assignment, e.g. this will alter the original object that v points to, which will change the data seen when you use v later:

def letgo3(x):
    x[:] = np.array([[3,3],[3,3]])

v = np.empty((2, 2))
letgo3(v)   # will alter v

Notice that I'm not assigning something directly to x; I'm assigning something to the entire internal range of x.

If you absolutely must create a completely new object and make it visible externally (which is sometimes the case with pandas), you have two options. The 'clean' option would be just to return the new object, e.g.,

def letgo(df):
    df = df.drop('b',axis=1)
    return df

a = pd.DataFrame({'a':[1,2], 'b':[3,4]})
a = letgo(a)

Another option would be to reach outside your function and directly alter a global variable. This changes a to point to a new object, and any function that refers to a afterward will see that new object:

def letgo():
    global a
    a = a.drop('b',axis=1)

a = pd.DataFrame({'a':[1,2], 'b':[3,4]})
letgo()   # will alter a!

Directly altering global variables is usually a bad idea, because anyone who reads your code will have a hard time figuring out how a got changed. (I generally use global variables for shared parameters used by many functions in a script, but I don't let them alter those global variables.)

Saturday, October 15, 2022
 
3

A solution, only for your case, would be:

var = 'I need to be accessed by id!'
address = id(var)
print(address)
var2 = [x for x in globals().values() if id(x)==address]

It also works from inside a function like

def get_by_address(address):
    return [x for x in globals().values() if id(x)==address]

var = 'I need to be accessed by id!'
address = id(var)
print(address)
var2 = get_by_address(address)

But as others pointed out: First make sure there is no better solution that better fits your needs

Monday, August 15, 2022
 
mik378
 
5

Ruby uses pass-by-value, or more precisely, a special case of pass-by-value where the value being passed is always a pointer. This special case is also sometimes known as call-by-sharing, call-by-object-sharing or call-by-object.

It's the same convention that is used by Java (for objects), C# (by default for reference types), Smalltalk, Python, ECMAScript/JavaScript and more or less every object-oriented language ever created.

Note: on all existing Ruby implementations Symbols, Fixnums and Floats are actually passed directly by value and not with an intermediary pointer. However, since those three are immutable, there is no observable behavioral difference between pass-by-value and call-by-object-sharing in this case, so you can greatly simplify your mental model by simply treating everything as call-by-object-sharing. Just interpret these three special cases as internal compiler optimizations that you don't need to worry about.

Here's a simple example you can run to determine the argument passing convention of Ruby (or any other language, after you translate it):

def is_ruby_pass_by_value?(foo)
  foo.replace('More precisely, it is call-by-object-sharing!')
  foo = 'No, Ruby is pass-by-reference.'
  return nil
end

bar = 'Yes, of course, Ruby *is* pass-by-value!'

is_ruby_pass_by_value?(bar)

p bar
# 'More precisely, it is call-by-object-sharing!'
Thursday, November 3, 2022
 
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