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-ma...); - 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-specificatio...) 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-c...>
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