Python-Dev January 2003

python-dev@python.org

130 participants
182 discussions

by barry＠zope.com

It has been a while since I posted a copy of PEP 1 to the mailing lists and newsgroups. I've recently done some updating of a few sections, so in the interest of gaining wider community participation in the Python development process, I'm posting the latest revision of PEP 1 here. A version of the PEP is always available on-line at http://www.python.org/peps/pep-0001.html Enjoy, -Barry -------------------- snip snip -------------------- PEP: 1 Title: PEP Purpose and Guidelines Version: $Revision: 1.36 $ Last-Modified: $Date: 2002/07/29 18:34:59 $ Author: Barry A. Warsaw, Jeremy Hylton Status: Active Type: Informational Created: 13-Jun-2000 Post-History: 21-Mar-2001, 29-Jul-2002 What is a PEP? PEP stands for Python Enhancement Proposal. A PEP is a design document providing information to the Python community, or describing a new feature for Python. The PEP should provide a concise technical specification of the feature and a rationale for the feature. We intend PEPs to be the primary mechanisms for proposing new features, for collecting community input on an issue, and for documenting the design decisions that have gone into Python. The PEP author is responsible for building consensus within the community and documenting dissenting opinions. Because the PEPs are maintained as plain text files under CVS control, their revision history is the historical record of the feature proposal[1]. Kinds of PEPs There are two kinds of PEPs. A standards track PEP describes a new feature or implementation for Python. An informational PEP describes a Python design issue, or provides general guidelines or information to the Python community, but does not propose a new feature. Informational PEPs do not necessarily represent a Python community consensus or recommendation, so users and implementors are free to ignore informational PEPs or follow their advice. PEP Work Flow The PEP editor, Barry Warsaw <peps(a)python.org>, assigns numbers for each PEP and changes its status. The PEP process begins with a new idea for Python. It is highly recommended that a single PEP contain a single key proposal or new idea. The more focussed the PEP, the more successfully it tends to be. The PEP editor reserves the right to reject PEP proposals if they appear too unfocussed or too broad. If in doubt, split your PEP into several well-focussed ones. Each PEP must have a champion -- someone who writes the PEP using the style and format described below, shepherds the discussions in the appropriate forums, and attempts to build community consensus around the idea. The PEP champion (a.k.a. Author) should first attempt to ascertain whether the idea is PEP-able. Small enhancements or patches often don't need a PEP and can be injected into the Python development work flow with a patch submission to the SourceForge patch manager[2] or feature request tracker[3]. The PEP champion then emails the PEP editor <peps(a)python.org> with a proposed title and a rough, but fleshed out, draft of the PEP. This draft must be written in PEP style as described below. If the PEP editor approves, he will assign the PEP a number, label it as standards track or informational, give it status 'draft', and create and check-in the initial draft of the PEP. The PEP editor will not unreasonably deny a PEP. Reasons for denying PEP status include duplication of effort, being technically unsound, not providing proper motivation or addressing backwards compatibility, or not in keeping with the Python philosophy. The BDFL (Benevolent Dictator for Life, Guido van Rossum) can be consulted during the approval phase, and is the final arbitrator of the draft's PEP-ability. If a pre-PEP is rejected, the author may elect to take the pre-PEP to the comp.lang.python newsgroup (a.k.a. python-list(a)python.org mailing list) to help flesh it out, gain feedback and consensus from the community at large, and improve the PEP for re-submission. The author of the PEP is then responsible for posting the PEP to the community forums, and marshaling community support for it. As updates are necessary, the PEP author can check in new versions if they have CVS commit permissions, or can email new PEP versions to the PEP editor for committing. Standards track PEPs consists of two parts, a design document and a reference implementation. The PEP should be reviewed and accepted before a reference implementation is begun, unless a reference implementation will aid people in studying the PEP. Standards Track PEPs must include an implementation - in the form of code, patch, or URL to same - before it can be considered Final. PEP authors are responsible for collecting community feedback on a PEP before submitting it for review. A PEP that has not been discussed on python-list(a)python.org and/or python-dev(a)python.org will not be accepted. However, wherever possible, long open-ended discussions on public mailing lists should be avoided. Strategies to keep the discussions efficient include, setting up a separate SIG mailing list for the topic, having the PEP author accept private comments in the early design phases, etc. PEP authors should use their discretion here. Once the authors have completed a PEP, they must inform the PEP editor that it is ready for review. PEPs are reviewed by the BDFL and his chosen consultants, who may accept or reject a PEP or send it back to the author(s) for revision. Once a PEP has been accepted, the reference implementation must be completed. When the reference implementation is complete and accepted by the BDFL, the status will be changed to `Final.' A PEP can also be assigned status `Deferred.' The PEP author or editor can assign the PEP this status when no progress is being made on the PEP. Once a PEP is deferred, the PEP editor can re-assign it to draft status. A PEP can also be `Rejected'. Perhaps after all is said and done it was not a good idea. It is still important to have a record of this fact. PEPs can also be replaced by a different PEP, rendering the original obsolete. This is intended for Informational PEPs, where version 2 of an API can replace version 1. PEP work flow is as follows: Draft -> Accepted -> Final -> Replaced ^ +----> Rejected v Deferred Some informational PEPs may also have a status of `Active' if they are never meant to be completed. E.g. PEP 1. What belongs in a successful PEP? Each PEP should have the following parts: 1. Preamble -- RFC822 style headers containing meta-data about the PEP, including the PEP number, a short descriptive title (limited to a maximum of 44 characters), the names, and optionally the contact info for each author, etc. 2. Abstract -- a short (~200 word) description of the technical issue being addressed. 3. Copyright/public domain -- Each PEP must either be explicitly labelled as placed in the public domain (see this PEP as an example) or licensed under the Open Publication License[4]. 4. Specification -- The technical specification should describe the syntax and semantics of any new language feature. The specification should be detailed enough to allow competing, interoperable implementations for any of the current Python platforms (CPython, JPython, Python .NET). 5. Motivation -- The motivation is critical for PEPs that want to change the Python language. It should clearly explain why the existing language specification is inadequate to address the problem that the PEP solves. PEP submissions without sufficient motivation may be rejected outright. 6. Rationale -- The rationale fleshes out the specification by describing what motivated the design and why particular design decisions were made. It should describe alternate designs that were considered and related work, e.g. how the feature is supported in other languages. The rationale should provide evidence of consensus within the community and discuss important objections or concerns raised during discussion. 7. Backwards Compatibility -- All PEPs that introduce backwards incompatibilities must include a section describing these incompatibilities and their severity. The PEP must explain how the author proposes to deal with these incompatibilities. PEP submissions without a sufficient backwards compatibility treatise may be rejected outright. 8. Reference Implementation -- The reference implementation must be completed before any PEP is given status 'Final,' but it need not be completed before the PEP is accepted. It is better to finish the specification and rationale first and reach consensus on it before writing code. The final implementation must include test code and documentation appropriate for either the Python language reference or the standard library reference. PEP Template PEPs are written in plain ASCII text, and should adhere to a rigid style. There is a Python script that parses this style and converts the plain text PEP to HTML for viewing on the web[5]. PEP 9 contains a boilerplate[7] template you can use to get started writing your PEP. Each PEP must begin with an RFC822 style header preamble. The headers must appear in the following order. Headers marked with `*' are optional and are described below. All other headers are required. PEP: <pep number> Title: <pep title> Version: <cvs version string> Last-Modified: <cvs date string> Author: <list of authors' real names and optionally, email addrs> * Discussions-To: <email address> Status: <Draft | Active | Accepted | Deferred | Final | Replaced> Type: <Informational | Standards Track> * Requires: <pep numbers> Created: <date created on, in dd-mmm-yyyy format> * Python-Version: <version number> Post-History: <dates of postings to python-list and python-dev> * Replaces: <pep number> * Replaced-By: <pep number> The Author: header lists the names and optionally, the email addresses of all the authors/owners of the PEP. The format of the author entry should be address(a)dom.ain (Random J. User) if the email address is included, and just Random J. User if the address is not given. If there are multiple authors, each should be on a separate line following RFC 822 continuation line conventions. Note that personal email addresses in PEPs will be obscured as a defense against spam harvesters. Standards track PEPs must have a Python-Version: header which indicates the version of Python that the feature will be released with. Informational PEPs do not need a Python-Version: header. While a PEP is in private discussions (usually during the initial Draft phase), a Discussions-To: header will indicate the mailing list or URL where the PEP is being discussed. No Discussions-To: header is necessary if the PEP is being discussed privately with the author, or on the python-list or python-dev email mailing lists. Note that email addresses in the Discussions-To: header will not be obscured. Created: records the date that the PEP was assigned a number, while Post-History: is used to record the dates of when new versions of the PEP are posted to python-list and/or python-dev. Both headers should be in dd-mmm-yyyy format, e.g. 14-Aug-2001. PEPs may have a Requires: header, indicating the PEP numbers that this PEP depends on. PEPs may also have a Replaced-By: header indicating that a PEP has been rendered obsolete by a later document; the value is the number of the PEP that replaces the current document. The newer PEP must have a Replaces: header containing the number of the PEP that it rendered obsolete. PEP Formatting Requirements PEP headings must begin in column zero and the initial letter of each word must be capitalized as in book titles. Acronyms should be in all capitals. The body of each section must be indented 4 spaces. Code samples inside body sections should be indented a further 4 spaces, and other indentation can be used as required to make the text readable. You must use two blank lines between the last line of a section's body and the next section heading. You must adhere to the Emacs convention of adding two spaces at the end of every sentence. You should fill your paragraphs to column 70, but under no circumstances should your lines extend past column 79. If your code samples spill over column 79, you should rewrite them. Tab characters must never appear in the document at all. A PEP should include the standard Emacs stanza included by example at the bottom of this PEP. A PEP must contain a Copyright section, and it is strongly recommended to put the PEP in the public domain. When referencing an external web page in the body of a PEP, you should include the title of the page in the text, with a footnote reference to the URL. Do not include the URL in the body text of the PEP. E.g. Refer to the Python Language web site [1] for more details. ... [1] http://www.python.org When referring to another PEP, include the PEP number in the body text, such as "PEP 1". The title may optionally appear. Add a footnote reference that includes the PEP's title and author. It may optionally include the explicit URL on a separate line, but only in the References section. Note that the pep2html.py script will calculate URLs automatically, e.g.: ... Refer to PEP 1 [7] for more information about PEP style ... References [7] PEP 1, PEP Purpose and Guidelines, Warsaw, Hylton http://www.python.org/peps/pep-0001.html If you decide to provide an explicit URL for a PEP, please use this as the URL template: http://www.python.org/peps/pep-xxxx.html PEP numbers in URLs must be padded with zeros from the left, so as to be exactly 4 characters wide, however PEP numbers in text are never padded. Reporting PEP Bugs, or Submitting PEP Updates How you report a bug, or submit a PEP update depends on several factors, such as the maturity of the PEP, the preferences of the PEP author, and the nature of your comments. For the early draft stages of the PEP, it's probably best to send your comments and changes directly to the PEP author. For more mature, or finished PEPs you may want to submit corrections to the SourceForge bug manager[6] or better yet, the SourceForge patch manager[2] so that your changes don't get lost. If the PEP author is a SF developer, assign the bug/patch to him, otherwise assign it to the PEP editor. When in doubt about where to send your changes, please check first with the PEP author and/or PEP editor. PEP authors who are also SF committers, can update the PEPs themselves by using "cvs commit" to commit their changes. Remember to also push the formatted PEP text out to the web by doing the following: % python pep2html.py -i NUM where NUM is the number of the PEP you want to push out. See % python pep2html.py --help for details. Transferring PEP Ownership It occasionally becomes necessary to transfer ownership of PEPs to a new champion. In general, we'd like to retain the original author as a co-author of the transferred PEP, but that's really up to the original author. A good reason to transfer ownership is because the original author no longer has the time or interest in updating it or following through with the PEP process, or has fallen off the face of the 'net (i.e. is unreachable or not responding to email). A bad reason to transfer ownership is because you don't agree with the direction of the PEP. We try to build consensus around a PEP, but if that's not possible, you can always submit a competing PEP. If you are interested assuming ownership of a PEP, send a message asking to take over, addressed to both the original author and the PEP editor <peps(a)python.org>. If the original author doesn't respond to email in a timely manner, the PEP editor will make a unilateral decision (it's not like such decisions can be reversed. :). References and Footnotes [1] This historical record is available by the normal CVS commands for retrieving older revisions. For those without direct access to the CVS tree, you can browse the current and past PEP revisions via the SourceForge web site at http://cvs.sourceforge.net/cgi-bin/cvsweb.cgi/python/nondist/peps/?cvsroot=… [2] http://sourceforge.net/tracker/?group_id=5470&atid=305470 [3] http://sourceforge.net/tracker/?atid=355470&group_id=5470&func=browse [4] http://www.opencontent.org/openpub/ [5] The script referred to here is pep2html.py, which lives in the same directory in the CVS tree as the PEPs themselves. Try "pep2html.py --help" for details. The URL for viewing PEPs on the web is http://www.python.org/peps/ [6] http://sourceforge.net/tracker/?group_id=5470&atid=305470 [7] PEP 9, Sample PEP Template http://www.python.org/peps/pep-0009.html Copyright This document has been placed in the public domain. Local Variables: mode: indented-text indent-tabs-mode: nil sentence-end-double-space: t fill-column: 70 End:

5 months, 1 week

RE: [Python-Dev] Those import related syntax errors again...

by Samuele Pedroni

Hi. [Mark Hammond] > The point isn't about my suffering as such. The point is more that > python-dev owns a tiny amount of the code out there, and I don't believe we > should put Python's users through this. > > Sure - I would be happy to "upgrade" all the win32all code, no problem. I > am also happy to live in the bleeding edge and take some pain that will > cause. > > The issue is simply the user base, and giving Python a reputation of not > being able to painlessly upgrade even dot revisions. I agree with all this. [As I imagined explicit syntax did not catch up and would require lot of discussions.] [GvR] > > Another way is to use special rules > > (similar to those for class defs), e.g. having > > > > <frag> > > y=3 > > def f(): > > exec "y=2" > > def g(): > > return y > > return g() > > > > print f() > > </frag> > > > > # print 3. > > > > Is that confusing for users? maybe they will more naturally expect 2 > > as outcome (given nested scopes). > > This seems the best compromise to me. It will lead to the least > broken code, because this is the behavior that we had before nested > scopes! It is also quite easy to implement given the current > implementation, I believe. > > Maybe we could introduce a warning rather than an error for this > situation though, because even if this behavior is clearly documented, > it will still be confusing to some, so it is better if we outlaw it in > some future version. > Yes this can be easy to implement but more confusing situations can arise: <frag> y=3 def f(): y=9 exec "y=2" def g(): return y return y,g() print f() </frag> What should this print? the situation leads not to a canonical solution as class def scopes. or <frag> def f(): from foo import * def g(): return y return g() print f() </frag> [Mark Hammond] > > This probably won't be a very popular suggestion, but how about pulling > > nested scopes (I assume they are at the root of the problem) > > until this can be solved cleanly? > > Agreed. While I think nested scopes are kinda cool, I have lived without > them, and really without missing them, for years. At the moment the cure > appears worse then the symptoms in at least a few cases. If nothing else, > it compromises the elegant simplicity of Python that drew me here in the > first place! > > Assuming that people really _do_ want this feature, IMO the bar should be > raised so there are _zero_ backward compatibility issues. I don't say anything about pulling nested scopes (I don't think my opinion can change things in this respect) but I should insist that without explicit syntax IMO raising the bar has a too high impl cost (both performance and complexity) or creates confusion. [Andrew Kuchling] > >Assuming that people really _do_ want this feature, IMO the bar should be > >raised so there are _zero_ backward compatibility issues. > > Even at the cost of additional implementation complexity? At the cost > of having to learn "scopes are nested, unless you do these two things > in which case they're not"? > > Let's not waffle. If nested scopes are worth doing, they're worth > breaking code. Either leave exec and from..import illegal, or back > out nested scopes, or think of some better solution, but let's not > introduce complicated backward compatibility hacks. IMO breaking code would be ok if we issue warnings today and implement nested scopes issuing errors tomorrow. But this is simply a statement about principles and raised impression. IMO import * in an inner scope should end up being an error, not sure about 'exec's. We will need a final BDFL statement. regards, Samuele Pedroni.

16 years, 8 months

RE: [Python-Dev] Extended Function syntax

by Moore, Paul

From: Samuele Pedroni [mailto:pedronis@bluewin.ch] > the first candidate would be a generalization of 'class' > (although that make it redundant with 'class' and meta-classes) > so that > > KEYW-TO-BE kind name [ '(' expr,... ')' ] [ maybe [] extended syntax ]: > suite > > would be equivalent to > > name = kind(name-as-string,(expr,...),dict-populated-executing-suite) [fixed up to exclude the docstring, as per the followup message] I like this - it's completely general, and easy to understand. Then again, I always like constructs defined in terms of code equivalence, it seems to be a good way to make the semantics completely explicit. The nice thing, to me, is that it solves the immediate problem (modulo a suitable "kind" to work for properties), as well as being extensible to allow it to be used in more general contexts. The downside may be that it's *too* general - I've no feel for how it would look if overused - it might feel like people end up defining their own application language. > the remaining problem would be to pick a suitable KEYW-TO-BE "block"? Someone, I believe, suggested reusing "def" - this might be nice, but IIRC it won't work because of the grammar's strict lookahead limits. (If it does work, then "def" looks good to me). If def won't work, how about "define"? The construct is sort of an extended form of def. Or is that too cute? By the way, can I just say that I am +1 on Michael Hudson's original patch for [...] on definitions. Even though it doesn't solve the issue of properties, I think it's a nice solution for classmethod and staticmethod, and again I like the generality. Paul.

18 years, 7 months

Re: GadflyDA in core? Or as add-on-product?

by Stuart Bishop

On Wednesday, January 22, 2003, at 08:22 AM, Guido van Rossum wrote: >>>> My personal belief would be to include Gadfly in Python: >>>> - Provides a reason for the DB API docs to be merged into the >>>> Python library reference >>>> - Gives Python relational DB stuff out of the box ala Java, >>>> but with a working RDBMS as well ala nothing else I'm aware >>>> of. >>>> - Makes including GadflyDA in Zope 3 a trivial decision, since >>>> its size would be negligable and the DA code itself is >>>> already ZPL. >>> >>> Would you be willing to find out (from c.l.py) how much interest >>> there is in this? >> >> A fairly positive response from the DB SIG. The trick will be to fix >> the outstanding bugs or disable those features (losing the 'group >> by' and 'unique' SQL clauses), and to confirm and fix any departures >> from the DB-API 2.0 standard, as this would become a reference >> implementation of sorts. >> >> There is no permanent maintainer, as Richard Jones is in more of a >> caretaker role with the code. I'll volunteer to try and get the code >> into a Python release though. >> >> If fixes, documentation and tests can be organized by the end of >> January for alpha2, will this go out with Python 2.3 (assuming a >> signoff on quality by python-dev and the DB-SIG)? If not, Jim is >> back to deciding if he should include Gadfly with Zope3. > > Sorry for not responding before. I'm open for doing this, but you > should probably probe python-dev next before you start a big coding > project. How much C code is involved in Gadfly? If it's a lot, I'm a > lot more reluctant, because C code usually requires much more > maintenance (rare is the C source file that doesn't have some hidden > platform dependency). Gadfly comes with kjbuckets, which is written in C. The rest is Python. Gadfly uses the included kjbuckets for storage if it is available, but happily runs without it with a performance hit. So Jython gets a RDBMS implementation too. -- Stuart Bishop <zen(a)shangri-la.dropbear.id.au> http://shangri-la.dropbear.id.au/

18 years, 8 months

Adding Japanese Codecs to the distro

by M.-A. Lemburg

Hisao SUZUKI has just recently uploaded a patch to SF which includes codecs for the Japanese encodings EUC-JP, Shift_JIS and ISO-2022-JP and wants to contribute the code to the PSF. The advantage of his codecs over the ones written by Tamito KAJIYAMA (http://www.asahi-net.or.jp/~rd6t-kjym/python/) lies in the fact that Hisao's codecs are small (88kB) and written in pure Python. This makes it much easier to adapt the codecs to special needs or to correct errors. Provided Hisao volunteers to maintain these codecs, I'd like to suggest adding them to Python's encodings package and making them the default implementations for the above encodings. Ideal would be if we could get Hisao and Tamito to team up to support these codecs (I put him on CC). Adding the codecs to the distribution would give Python a very good argument in the Japanese world and also help people working with XML or HTML targetting these locales. Thoughts ? -- Marc-Andre Lemburg CEO eGenix.com Software GmbH _______________________________________________________________________ eGenix.com -- Makers of the Python mx Extensions: mxDateTime,mxODBC,... Python Consulting: http://www.egenix.com/ Python Software: http://www.egenix.com/files/python/

18 years, 8 months

Extended Function syntax

by Guido van Rossum

A while ago there was a proposal floating around to add an optional part to function/method definitions, that would replace the current clumsy classmethod etc. notation, and could be used for other purposes too. I think the final proposal looked like this: def name(arg, ...) [expr, ...]: ...body... Does anyone remember or know where to find the thread where this proposal was discussed? It ought to be turned into a PEP. --Guido van Rossum (home page: http://www.python.org/~guido/)

18 years, 8 months

Re: native code compiler? (or, OCaml vs. Python)

by Graham Guttocks

Greg Ewing <greg(a)cosc.canterbury.ac.nz> wrote: > >> one glaring weakness is the absence of a high-performance native >> code compiler. Are there any plans to develop this? > > This is asked fairly frequently, and the usual answer is "No, but > you're welcome to volunteer." :-) Really? It surprises me that after 10 years, this isn't something that has been given more priority. Is the problem simply too difficult? > There are some projects attacking parts of the problem, however, > e.g. Psyco. I've looked at Psyco, but it seems treated like an ad-hoc red-headed stepchild. Why isn't something this made part of Python? It would be nice to use Python for more serious projects, but it isn't fast enough currently. ===== Regards, Graham http://movies.yahoo.com.au - Yahoo! Movies - What's on at your local cinema?

18 years, 8 months

Idea for avoiding exception masking

by Raymond Hettinger

When working on the sets module, a bug was found where trapping an exception (a TypeError for a mutable argument passed to a dictionary) resulted in masking other errors that should have been passed through (potential TypeErrors in the called iterator for example). Now, Walter is working on a bug for map(), zip(), and reduce() where errors in the getiter() call are being trapped, reported as TypeError (for non-iterability), but potentially masking other real errors in a __iter__ routine. The current proposed solution is to remove the PyErr_Format call so that the underlying error message gets propagated up its original form. The downside of that approach is that it loses information about which argument caused the error. So, here's the bright idea. Add a function, PyErr_FormatAppend, that leaves the original message intact but allows additional information to be added (like the name of the called function, identification of which argument triggered the error, a clue as to how many iterations had passed, or anything else that makes the traceback more informative). Python code has a number of cases where a higher level routine traps an exception and reraises it with new information and losing the lower level error detail in the process. Raymond Hettinger

18 years, 8 months

PEP 42: sizeof(obj) builtin

by Raymond Hettinger

I'm about to start working on this one and wanted to check here first to make sure there is still a demand for it and to get ideas on the best implementation strategy. I'm thinking of summing all of the tp_basicsize slots while recursing through tp_traverse. Raymond Hettinger

18 years, 8 months

Re: [Python-Dev] disable writing .py[co]

by Skip Montanaro

Martin> * Doesn't solve the original problem: many processors writing to Martin> the same file system (unless you manage to set an environment Martin> variable differently on each node). Sure: export PYCROOT=/tmp/`hostname --fqdn` Skip

18 years, 8 months

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Python-Dev January 2003