Wow, so 19 years after PEP 275, we are indeed getting a switch
statement. Nice :-)

Something which struck me as odd when first scanning through the PEP
is the default case compared to other Python block statements:

match something:
    case 0 | 1 | 2:
        print("Small number")
    case [] | [_]:
        print("A short sequence")
    case str() | bytes():
        print("Something string-like")
    case _:
        print("Something else")

rather than what a Pythonista would probably expect:

match something:
    case 0 | 1 | 2:
        print("Small number")
    case [] | [_]:
        print("A short sequence")
    case str() | bytes():
        print("Something string-like")
    else:
        print("Something else")

Was there a reason for using a special value "_" as match-all value ?
I couldn't find any explanation for this in the PEP.

Cheers.



On 23.06.2020 18:01, Guido van Rossum wrote:
> I'm happy to present a new PEP for the python-dev community to review.
> This is joint work with Brandt Bucher, Tobias Kohn, Ivan Levkivskyi and
> Talin.
> 
> Many people have thought about extending Python with a form of pattern
> matching similar to that found in Scala, Rust, F#, Haskell and other
> languages with a functional flavor. The topic has come up regularly on
> python-ideas (most recently yesterday :-).
> 
> I'll mostly let the PEP speak for itself:
> - Published: https://www.python.org/dev/peps/pep-0622/ (*)
> - Source: https://github.com/python/peps/blob/master/pep-0622.rst
> 
> (*) The published version will hopefully be available soon.
> 
> I want to clarify that the design space for such a match statement is
> enormous. For many key decisions the authors have clashed, in some cases
> we have gone back and forth several times, and a few uncomfortable
> compromises were struck. It is quite possible that some major design
> decisions will have to be revisited before this PEP can be accepted.
> Nevertheless, we're happy with the current proposal, and we have
> provided ample discussion in the PEP under the headings of Rejected
> Ideas and Deferred Ideas. Please read those before proposing changes!
> 
> I'd like to end with the contents of the README of the repo where we've
> worked on the draft, which is shorter and gives a gentler introduction
> than the PEP itself:
> 
> 
> # Pattern Matching
> 
> This repo contains a draft PEP proposing a `match` statement.
> 
> Origins
> -------
> 
> The work has several origins:
> 
> - Many statically compiled languages (especially functional ones) have
>   a `match` expression, for example
>  
> [Scala](http://www.scala-lang.org/files/archive/spec/2.11/08-pattern-matching.html),
>   [Rust](https://doc.rust-lang.org/reference/expressions/match-expr.html),
>  
> [F#](https://docs.microsoft.com/en-us/dotnet/fsharp/language-reference/pattern-matching);
> - Several extensive discussions on python-ideas, culminating in a
>   summarizing
>   [blog
> post](https://tobiaskohn.ch/index.php/2018/09/18/pattern-matching-syntax-in-python/)
>   by Tobias Kohn;
> - An independently developed [draft
>  
> PEP](https://github.com/ilevkivskyi/peps/blob/pattern-matching/pep-9999.rst)
>   by Ivan Levkivskyi.
> 
> Implementation
> --------------
> 
> A full reference implementation written by Brandt Bucher is available
> as a [fork]((https://github.com/brandtbucher/cpython/tree/patma)) of
> the CPython repo.  This is readily converted to a [pull
> request](https://github.com/brandtbucher/cpython/pull/2)).
> 
> Examples
> --------
> 
> Some [example
> code](https://github.com/gvanrossum/patma/tree/master/examples/) is
> available from this repo.
> 
> Tutorial
> --------
> 
> A `match` statement takes an expression and compares it to successive
> patterns given as one or more `case` blocks.  This is superficially
> similar to a `switch` statement in C, Java or JavaScript (an many
> other languages), but much more powerful.
> 
> The simplest form compares a target value against one or more literals:
> 
> ```py
> def http_error(status):
>     match status:
>         case 400:
>             return "Bad request"
>         case 401:
>             return "Unauthorized"
>         case 403:
>             return "Forbidden"
>         case 404:
>             return "Not found"
>         case 418:
>             return "I'm a teapot"
>         case _:
>             return "Something else"
> ```
> 
> Note the last block: the "variable name" `_` acts as a *wildcard* and
> never fails to match.
> 
> You can combine several literals in a single pattern using `|` ("or"):
> 
> ```py
>         case 401|403|404:
>             return "Not allowed"
> ```
> 
> Patterns can look like unpacking assignments, and can be used to bind
> variables:
> 
> ```py
> # The target is an (x, y) tuple
> match point:
>     case (0, 0):
>         print("Origin")
>     case (0, y):
>         print(f"Y={y}")
>     case (x, 0):
>         print(f"X={x}")
>     case (x, y):
>         print(f"X={x}, Y={y}")
>     case _:
>         raise ValueError("Not a point")
> ```
> 
> Study that one carefully!  The first pattern has two literals, and can
> be thought of as an extension of the literal pattern shown above.  But
> the next two patterns combine a literal and a variable, and the
> variable is *extracted* from the target value (`point`).  The fourth
> pattern is a double extraction, which makes it conceptually similar to
> the unpacking assignment `(x, y) = point`.
> 
> If you are using classes to structure your data (e.g. data classes)
> you can use the class name followed by an argument list resembling a
> constructor, but with the ability to extract variables:
> 
> ```py
> from dataclasses import dataclass
> 
> @dataclass
> class Point:
>     x: int
>     y: int
> 
> def whereis(point):
>     match point:
>         case Point(0, 0):
>             print("Origin")
>         case Point(0, y):
>             print(f"Y={y}")
>         case Point(x, 0):
>             print(f"X={x}")
>         case Point():
>             print("Somewhere else")
>         case _:
>             print("Not a point")
> ```
> 
> We can use keyword parameters too.  The following patterns are all
> equivalent (and all bind the `y` attribute to the `var` variable):
> 
> ```py
> Point(1, var)
> Point(1, y=var)
> Point(x=1, y=var)
> Point(y=var, x=1)
> ```
> 
> Patterns can be arbitrarily nested.  For example, if we have a short
> list of points, we could match it like this:
> 
> ```py
> match points:
>     case []:
>         print("No points")
>     case [Point(0, 0)]:
>         print("The origin")
>     case [Point(x, y)]:
>         print(f"Single point {x}, {y}")
>     case [Point(0, y1), Point(0, y2)]:
>         print(f"Two on the Y axis at {y1}, {y2}")
>     case _:
>         print("Something else")
> ```
> 
> We can add an `if` clause to a pattern, known as a "guard".  If the
> guard is false, `match` goes on to try the next `case` block.  Note
> that variable extraction happens before the guard is evaluated:
> 
> ```py
> match point:
>     case Point(x, y) if x == y:
>         print(f"Y=X at {x}")
>     case Point(x, y):
>         print(f"Not on the diagonal")
> ```
> 
> Several other key features:
> 
> - Like unpacking assignments, tuple and list patterns have exactly the
>   same meaning and actually match arbitrary sequences.  An important
>   exception is that they don't match iterators or strings.
>   (Technically, the target must be an instance of
>   `collections.abc.Sequence`.)
> 
> - Sequence patterns support wildcards: `[x, y, *rest]` and `(x, y,
>   *rest)` work similar to wildcards in unpacking assignments.  The
>   name after `*` may also be `_`, so `(x, y, *_)` matches a sequence
>   of at least two items without binding the remaining items.
> 
> - Mapping patterns: `{"bandwidth": b, "latency": l}` extracts the
>   `"bandwidth"` and `"latency"` values from a dict.  Unlike sequence
>   patterns, extra keys are ignored.  A wildcard `**rest` is also
>   supported.  (But `**_` would be redundant, so it not allowed.)
> 
> - Subpatterns may be extracted using the walrus (`:=`) operator:
> 
>   ```py
>   case (Point(x1, y1), p2 := Point(x2, y2)): ...
>   ```
> 
> - Patterns may use named constants.  These must be dotted names; a
>   single name can be made into a constant value by prefixing it with a
>   dot to prevent it from being interpreted as a variable extraction:
> 
>   ```py
>   RED, GREEN, BLUE = 0, 1, 2
> 
>   match color:
>       case .RED:
>           print("I see red!")
>       case .GREEN:
>           print("Grass is green")
>       case .BLUE:
>           print("I'm feeling the blues :(")
>   ```
> 
> - Classes can customize how they are matched by defining a
>   `__match__()` method.
>   Read the
> [PEP](https://github.com/python/peps/blob/master/pep-0622.rst#runtime-specification)
> for details.
> 
> 
> 
> -- 
> --Guido van Rossum (python.org/~guido <http://python.org/~guido>)
> /Pronouns: he/him //(why is my pronoun here?)/
> <http://feministing.com/2015/02/03/how-using-they-as-a-singular-pronoun-can-change-the-world/>
> 
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