_______________________________________________On Sat, Sep 19, 2020 at 12:10 PM Wes Turner <wes.turner@gmail.com> wrote:Regex uses the ? symbol to indicate that something is a "non-greedy" match (to default to "shortest match")exactly -- Regex was designed to be a parsing language, format specifiers were not.I'm quite surprised by how little the parse package has had to adapt the format language to a parsing language, but it has indeed adapted it. I'm honestly not sure how confusing that would be to have a built in parsing language that looks like the format one, but behaves differently. I suspect it's particularly an issue if we did assigning to fstrings, and less so if it were a string method or stand alone function.Trying parse with my earlier example in this thread:In [1]: x, y, z = 23, 45, 67
In [2]: a_string = f"{x}{y}{z}"
In [3]: a_stringOut[3]: '234567'In [4]: from parse import parseIn [5]: parse("{x}{y}{z}", a_string)Out[5]: <Result () {'x': '2', 'y': '3', 'z': '4567'}>
In [6]: parse("{x:d}{y:d}{z:d}", a_string)
Out[6]: <Result () {'x': 2345, 'y': 6, 'z': 7}>So that's interesting -- different level of "greadiness" for strings than integersIn [7]: parse("{x:2d}{y:2d}{z:2d}", a_string)
Out[7]: <Result () {'x': 23, 'y': 45, 'z': 67}>And now we get back what we started with -- not bad.I'm liking this -- I think it would be good to have parse, or something like in, in the stdlib, maybe as a string method.Then maybe consider some auto-assigning behavior -- though I'm pretty sceptical of that, and Wes' point about debugging is a good one. It would create a real debugging / testing nightmare to have stuff auto-assigned into locals.-CHBimport restr_ = "a:b:c"assert re.match(r'(.*):(.*)', str_).groups() == ("a:b", "c")assert re.match(r'(.*?):(.*)', str_).groups() == ("a", "b:c")Typically, debugging parsing issues involves testing the output of a function (not changes to locals()).Parse defaults to (case-insensitive) non-greedy/shortest-match:> parse() will always match the shortest text necessary (from left to right) to fulfil the parse pattern, so for example:> >>> pattern = '{dir1}/{dir2}'> >>> data = 'root/parent/subdir'> >>> sorted(parse(pattern, data).named.items())> [('dir1', 'root'), ('dir2', 'parent/subdir')]> So, even though {'dir1': 'root/parent', 'dir2': 'subdir'} would also fit the pattern, the actual match represents the shortest successful match for dir1.> Note: attempting to match too many datetime fields in a single parse() will currently result in a resource allocation issue. A TooManyFields exception will be raised in this instance. The current limit is about 15. It is hoped that this limit will be removed one day._______________________________________________On Sat, Sep 19, 2020, 1:00 PM Rob Cliffe via Python-ideas <python-ideas@python.org> wrote:Parsing can be ambiguous:
f"{x}:{y}" = "a:b:c"
Does this set
x = "a"
y = "b:c"
or
x = "a:b"
y = "c"
Rob Cliffe
On 17/09/2020 05:52, Dennis Sweeney wrote:
> TL;DR: I propose the following behavior:
>
> >>> s = "She turned me into a newt."
> >>> f"She turned me into a {animal}." = s
> >>> animal
> 'newt'
>
> >>> f"A {animal}?" = s
> Traceback (most recent call last):
> File "<pyshell#2>", line 1, in <module>
> f"A {animal}?" = s
> ValueError: f-string assignment target does not match 'She turned me into a newt.'
>
> >>> f"{hh:d}:{mm:d}:{ss:d}" = "11:59:59"
> >>> hh, mm, ss
> (11, 59, 59)
>
> === Rationale ===
>
> Part of the reason I like f-strings so much is that they reduce the
> cognitive overhead of reading code: they allow you to see *what* is
> being inserted into a string in a way that also effortlessly shows
> *where* in the string the value is being inserted. There is no need to
> "paint-by-numbers" and remember which variable is {0} and which is {1}
> in an unnecessary extra layer of indirection. F-strings allow string
> formatting that is not only intelligible, but *locally* intelligible.
>
> What I propose is the inverse feature, where you can assign a string
> to an f-string, and the interpreter will maintain an invariant kept
> in many other cases:
>
> >>> a[n] = 17
> >>> a[n] == 17
> True
>
> >>> obj.x = "foo"
> >>> obj.x == "foo"
> True
>
> # Proposed:
> >>> f"It is {hh}:{mm} {am_or_pm}" = "It is 11:45 PM"
> >>> f"It is {hh}:{mm} {am_or_pm}" == "It is 11:45 PM"
> True
> >>> hh
> '11'
>
> This could be thought of as analogous to the c language's scanf
> function, something I've always felt was just slightly lacking in
> Python. I think such a feature would more clearly allow readers of
> Python code to answer the question "What kinds of strings are allowed
> here?". It would add certainty to programs that accept strings,
> confirming early that the data you have is the data you want.
> The code reads like a specification that beginners can understand in
> a blink.
>
>
> === Existing way of achieving this ===
>
> As of now, you could achieve the behavior with regular expressions:
>
> >>> import re
> >>> pattern = re.compile(r'It is (.+):(.+) (.+)')
> >>> match = pattern.fullmatch("It is 11:45 PM")
> >>> hh, mm, am_or_pm = match.groups()
> >>> hh
> '11'
>
> But this suffers from the same paint-by-numbers, extra-indirection
> issue that old-style string formatting runs into, an issue that
> f-strings improve upon.
>
> You could also do a strange mishmash of built-in str operations, like
>
> >>> s = "It is 11:45 PM"
> >>> empty, rest = s.split("It is ")
> >>> assert empty == ""
> >>> hh, rest = rest.split(":")
> >>> mm, am_or_pm = s.split(" ")
> >>> hh
> '11'
>
> But this is 5 different lines to express one simple idea.
> How many different times have you written a micro-parser like this?
>
>
> === Specification (open to bikeshedding) ===
>
> In general, the goal would be to pursue the assignment-becomes-equal
> invariant above. By default, assignment targets within f-strings would
> be matched as strings. However, adding in a format specifier would
> allow the matches to be evaluated as different data types, e.g.
> f'{foo:d}' = "1" would make foo become the integer 1. If a more complex
> format specifier was added that did not match anything that the
> f-string could produce as an expression, then we'd still raise a
> ValueError:
>
> >>> f"{x:.02f}" = "0.12345"
> Traceback (most recent call last):
> File "<pyshell#2>", line 1, in <module>
> f"{x:.02f}" = "0.12345"
> ValueError: f-string assignment target does not match '0.12345'
>
> If we're feeling adventurous, one could turn the !r repr flag in a
> match into an eval() of the matched string.
>
> The f-string would match with the same eager semantics as regular
> expressions, backtracking when a match is not made on the first
> attempt.
>
> Let me know what you think!
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