Mailman 3 March 2003 - Python-Dev

PEP 1, PEP Purpose and Guidelines
by barry＠zope.com 18 May '21

18 May '21

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:

8 14

RE: [Python-Dev] Those import related syntax errors again...
by Samuele Pedroni 23 Feb '05

23 Feb '05

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.

18 78

Re: lists v. tuples
by Kevin J. Butler 16 Apr '03

16 Apr '03

> *Guido van Rossum * guido(a)python.org <mailto:guido%40python.org> > // > >Tuples are for heterogeneous data, list are for homogeneous data. > Only if you include *both* null cases: - tuple of type( i ) == type( i+1 ) - list of PyObject Homo-/heterogeneity is orthogonal to the primary benefits of lists (mutability) and of tuples (fixed order/length). Else why can you do list( (1, "two", 3.0) ) and tuple( [x, y, z] ) ? >Tuples are *not* read-only lists. > It just happens that "tuple( sequence )" is the most easy & obvious (and thus right?) way to spell "immutable sequence". Stop reading whenever you're convinced. ;-) (not about mutability, but about homo/heterogeneity) There are three (mostly) independent characteristics of tuples (in most to least important order, by frequency of use, IMO): - fixed order/fixed length - used in function argument/return tuples and all uses as a "struct" - heterogeneity allowed but not required - used in many function argument tuples and many "struct" tuples - immutability - implies fixed-order and fixed-length, and used occasionally for specific needs The important characteristics of lists are also independent of each other (again, IMO on the order): - mutability of length & content - used for dynamically building collections - heterogeneity allowed but not required - used occasionally for specific needs It turns out that fixed-length sequences are often useful for heterogeneous data, and that most sequences that require mutability are homogeneous. Examples from the standard library (found by grep '= (' and grep '= \[' ): # homogeneous tuple - homogeneity, fixed order, and fixed length are all required # CVS says Guido wrote/imported this. ;-) whrandom.py: self._seed = (x or 1, y or 1, z or 1) # homogeneous tuple - homogeneity is required - all entries must be 'types' # suitable for passing to 'isinstance( A, typesTuple )', which (needlessly?) requires a tuple to avoid # possibly recursive general sequences types.py: StringTypes = (StringType, UnicodeType) # heterogeneous list of values of all basic types (we need to be able to copy all types of values) # this could be a tuple, but neither immutability, nor fixed length, nor fixed order are needed, so it makes more sense as a list # CVS blames Guido here, too, in version 1.1. ;-) copy.py: l = [None, 1, 2L, 3.14, 'xyzzy', (1, 2L), [3.14, 'abc'], {'abc': 'ABC'}, (), [], {}] Other homogeneous tuples (may benefit from mutability, but require fixed-length/order): - 3D coordinates - RGB color - binary tree node (child, next) Other heterogeneous lists (homogeneous lists of base-class instances blah-blah-blah): - files AND directories to traverse (strings? "File" objects?) - emails AND faxes AND voicemails AND tasks in your Inbox (items?) - mail AND newsgroup accounts (accounts?) - return values OR exceptions from a list of test cases and test suites (PyObjects? introduce an artificial base class?) Must-be-stubborn-if-you-got-this-far-ly y'rs ;-) kb

15 48

Re: More int/long integration issues
by Chermside, Michael 12 Apr '03

12 Apr '03

Guido writes: > IMO, xrange() must die. Glad to hear it. I always found range() vs xrange() a wart. But if you had it do do over, how would you do it? -- Michael Chermside

6 12

new bytecode results
by Damien Morton 12 Apr '03

12 Apr '03

I tried adding a variety of new instructions to the PVM, initially with a code compression goal for the bytecodes, and later with a performance goal. definitions: USING_LOAD_FAST_N accesses to locals with an index<16 using a one byte instruction (no oparg) USING_LOAD_CONST_N accesses to consts with an index<16 using a one byte instruction (no oparg) USING_STORE_FAST_N accesses to locals with an index<16 using a one byte instruction (no oparg) USING_SHORT_CMP compare ops using a one byte instruction (no oparg) PyStone score for best of 10 runs. umodified 2.3a2 22200 using enum, 22200 (compacting the opcode numeric space using an enum instead of #defines) USING_LOAD_FAST_N 22700 USING_LOAD_CONST_N 22400 USING_STORE_FAST_N 22400 USING_LOAD_FAST_N, USING_LOAD_CONST_N 22350 USING_LOAD_FAST_N, USING_STORE_FAST_N, 22000 USING_LOAD_FAST_N, USING_LOAD_CONST_N, USING_STORE_FAST_N 22200 USING_SHORT_CMP 21500 USING_LOAD_FAST_N, USING_LOAD_CONST_N, USING_STORE_FAST_N, USING_SHORT_CMP 22000 Conclusions: While reducing the size of compiled bytecodes by about 1%, the proposed modifications at best increase performance by 2%, and at worst reduce performance by 3%. Enabling all of the proposed opcodes results in a 1% performance loss. In general, it would seem that adding opcodes in bulk, even if many opcodes switch to the same labels, results in a minor performance loss. Running PyStone under windows results in a fairly large variation in results. Ive attached a zip file containing the source files I modified. If someone would like to try this code on their systems, I would be grateful to know what kind of results they achieve. The various proposed opcodes are controlled by a set of #defines in the file opcode.h Next steps: The results of my static analysis indicate that the indices used on LOAD_FAST, LOAD_CONST, STORE_FAST are almost always small. There may be some benefit to optimising these instructions to use single byte opargs. The results of my static and dynamic analysis indicate that the (COMPARE_OP, JUMP_IF_FALSE, POP_TOP) pattern is highly used. 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3 2

tzset
by Tim Peters 11 Apr '03

11 Apr '03

We seem to have added tzset() gimmicks to CVS Python. test_time now fails on Windows, simply because time.tzset raises AttributeError there. Now Windows does support tzset(), but not TZ values of the form test_time.test_tzset() is testing, like environ['TZ'] = 'US/Eastern' and environ['TZ'] = 'Australia/Melbourne' The rub here is that I haven't found *any* tzset man pages on the web that claim TZ accepts such values (other than to silently ignore them because they're not in a recognized format). The POSIX defn is typical: http://www.opengroup.org/onlinepubs/007904975/basedefs/xbd_chap08.html and search down for TZ. There's no way to read that as supporting the values we're testing. Anyone have a clue? not-all-pits-should-be-dived-into-ly y'rs - tim

5 17

Capabilities
by Guido van Rossum 03 Apr '03

03 Apr '03

[Moving a discussion about capabilities to where it arguably belongs] [Ben Laurie] > The point about capabilities is that mere possession of a capability is > all that is required to exercise it. If you start adding security > checkers to them, then you don't have capabilities anymore. But the > point is somewhat deeper that than - given capabilities, you can > implement proxies without requiring any more infrastructure - you can > also implement security schemes that don't really correspond to any kind > of security checking at all (ok, you can probably find some convoluted > way to achieve the same effect, but I'll bet it comes down to having > tokens that correspond to proxies, and security checkers that allow you > to proceed if you have the appropriate token - in other words, > capabilities, but very hard to use). > > So, it seems to me, its simpler and more powerful to start with > capabilities and build proxies on top of them (or whatever alternate > scheme you want to build). > > Once more, my apologies for not just getting straight to the point. > > BTW, if you would like to explain why you don't think bound methods are > the way to go on python-dev, I'd love to hear it. It seems to e a matter of convenience. Often objects have many methods to which you want to provide access as a group. E.g. I might have a service configuration registry object. The object behaves roughly like a dictionary. A certain user may be given read-only access to the registry. Using capabilities, I would have to hand her a bunch of capabilities for various methods: __getitem__, has_key, get, keys, items, values, and many more. Using proxies I can simply give her a read-only proxy for the object. So proxies are more powerful. Before you start saying that we should use capabilities as the more fundamental mechanism and build proxies on top of that: as you point out, we already have an equivalent more fundamental mechanism, bound methods, which is equivalent to capabilities. It's just that raw capabilities aren't very usable, so one way or another we've got to build something on top of that. --Guido van Rossum (home page: http://www.python.org/~guido/)

12 67

Re: [Python-Dev] Capabilities
by Zooko 03 Apr '03

03 Apr '03

Guido wrote: > > I understand how class ZipFile could exercise authority in a > rexec-based world, if the zipfile module was trusted code. But I > thought that a capability view of the world doesn't distinguish > between trusted and untrusted code. I guess I need to understand > better what kind of "barriers" the capability way of life *does* use. I think you are on track with regard to the deeper question you are grappling with. Almost all dangerous things come ultimately from C code. (I can think of one danger that can come from pure Python code: it can provide an illicit communications channel between other objects.) So in the "separate policy language" way of life, access to the ZipFile class gives you the ability to open files anywhere in the filesystem. The ZipFile class therefore has the "dangerous" flag set, and when you run code that you think might misuse this feature, you set the "can't use dangerous things" flag on that code. In the capability way of life, it is still the case that access to the ZipFile class gives you the ability to open files anywhere in the system! (That is: I'm assuming for now that we implement capabilities without re-writing every dangerous class in the Library.) In this scheme, there are no flags, and when you run code that you think might misuse this feature, you simply don't give that code a reference to the ZipFile class. (Also, we have to arrange that it can't acquire a reference by "import zipfile".) So far the two approaches have the same effect, and the difference, for better or for worse, is that the policy of "this code can't use ZipFile" is encoded in Python reference-management code in the latter and encoded in a pair of flags in the former. Now, we might want to allow certain code to use something else dangerous (such as the socket module) while simultaneously disallowing it from using ZipFile. As we add N more dangerous modules, and M more objects of untrusted code that we want to control, we have an N*M access control matrix to configure which code can use which modules. (In an access control matrix, rows are "subjects" -- things that can exercise authority and columns are "resources" -- things that might require authority when used.) In a system where designation is not unified with authority, you tell this untrusted code "I want you to do this action X.", and then you also have to go update the policy specification to say that the code in question is allowed to do the action X. This "say it twice if you really mean it" overhead puts a practical limit on how fine-grained your policies can be, and it adds a source of accidents that lead to security holes. So now with a large or fine-grained access control matrix, we see the "unify designation and authority" maxim really shines, and really matches well with the Zen of Python. But there is still another advantage that capabilities offer over other access control systems. With normal access control (and an extremely diligent and patient programmer and user) you can in theory achieve the Principle of Least Privilege -- that the untrusted code runs with the minimal set of authorities necessary to do its job. However, this is implemented by creating a new "principal" -- a new row in the access control matrix, setting the access control bits in each element of that row, and preventing any other code from setting the bits in that row. Now, observe that only maximally trusted code -- with "root" authority -- is allowed to make these kinds of updates to the access control matrix. This means that all code is divided into two kinds: the kind that can impose Least-Privilege on code that it invokes (this code has root authority), and the kind that can be constrained by Least-Privilege when it is invoked (this code doesn't). With capabilities there is no such distinction. All code can be constrained to have access to only the privileges that it requires, and at the same time all code can constrain other code that it invokes. This feature, which I call "Higher-Order Principle of Least Privilege" [*] enables new applications. For example, using first-order Least-Privilege a web browser which runs cap-Python "caplets" could extend selective privileges to the caplets, such as permission to read a certain file, while withholding others, such as permission to write to that file, or permission to send the contents of the file to a remote computer. In addition, if cap-Python supports Higher-Order Least-Privilege, those caplets could themselves use other caplets ("web services"?) without unnecessarily exposing their privileges to those sub-caplets. One could imagine, for example, a web browser written in cap-Python, which runs inside the first web browser (e.g. Mozilla with a cap-Python plug-in), and uses cap-Python caplets to extend its (the cap-Python web browser's) functionality. If people already had the cap-Python plug-in installed in their local Mozilla, then simply visiting the "cap-python-browser.com" site would be sufficient to launch the cap-Python web browser. Of course, this could lead straight to a fully functional desktop, making good on Marc Andreesen's old threat to turn the browser into the operating system and the operating system into the device driver. This would be effectively the "virtualization" of access control. I regard it as a kind of holy Grail for internet computing. Regards, Zooko [*] I call it that because it is the application of the Principle of Least Privilege to the implementation of the Principle of Least Privilege. One should be able to impose least-privilege constraints on the code one uses without requiring full root privileges oneself! http://zooko.com/ ^-- under re-construction: some new stuff, some broken links

4 3

Re: [Python-Dev] How to suppress instance __dict__?
by David Abrahams 02 Apr '03

02 Apr '03

Guido van Rossum <guido(a)python.org> writes: >> > I think you could subclass the metaclass, override __new__, and delete >> > the bogus __getstate__ from the type's __dict__. Then you'll get the >> > default pickling behavior which ignores slots; that should work just >> > fine in your case. :-) >> >> Ooh, that's sneaky! But I can't quite see how it works. The error >> message I quoted at the top about __getstate__ happens when you try to >> pickle an instance of the class. If I delete __getstate__ during >> __new__, it won't be there for pickle to find when I try to do the >> pickling. What will keep it from inducing the same error? > > Just try it. There are many ways to customize pickling, and if > __getstate__ doesn't exist, pickling is done differently. Since this doesn't work: >>> d = type('d', (object,), { '__slots__' : ['foo'] } ) >>> pickle.dumps(d()) I'm still baffled as to why this works: >>> class mc(type): ... def __new__(self, *args): ... x = type.__new__(self, *args) ... del args[2]['__getstate__'] ... return x ... >>> c = mc('c', (object,), { '__slots__' : ['foo'], '__getstate__' : lambda self: tuple() } ) >>> pickle.dumps(c()) 'ccopy_reg\n_reconstructor\np0\n(c__main__\nc\np1\nc__builtin__\nobject\np2\nNtp3\nRp4\n.' especially since: >>> dir(d) == dir(c) 1 I don't see the logic in the source for object.__reduce__(), so where is it? OK, I see it in typeobject.c. But now: >>> c.__getstate__ <unbound method c.<lambda>> OK, this seems to indicate that my attempt to remove __getstate__ from the class __dict__ was a failure. That explains why pickling c works, but not why you suggested that I remove __getstate__ inside of __new__. Did you mean for me to do something different? I note that c's __slots__ aren't pickled at all, which I guess was the point of the __getstate__ requirement: >>> x = c() >>> x.foo = 1 >>> pickle.dumps(x) == pickle.dumps(c()) 1 Fortunately, in our case the __slots__ are empty so it doesn't matter. -- Dave Abrahams Boost Consulting www.boost-consulting.com

3 4

Re: [Python-Dev] Capabilities
by Zooko 01 Apr '03

01 Apr '03

It's apparent that I didn't explain capabilities clearly enough. Also I misunderstood something about rexec in general and ZipFile in particular. Once we succeed at understanding each other, I'll then inquire whether you agree with my Big Word Proofs. (I, Zooko, wrote lines prepended with "> > ".) Guido wrote: > > > So in the "separate policy language" way of life, access to the > > ZipFile class gives you the ability to open files anywhere in the > > filesystem. The ZipFile class therefore has the "dangerous" flag > > set, and when you run code that you think might misuse this feature, > > you set the "can't use dangerous things" flag on that code. > > But that's not how rexec works. In the rexec world, the zipfile > module has no special privileges; when it is imported by untrusted > code, it is reloaded from disk as if it were untrusted itself. The > zipfile.ZipFile class is a client of "open", an implementation of > which is provided to the untrusted code by the trusted code. <Zooko reads the zipfile module docs.> How is the implementation of "open" provided by the trusted code to the untrusted code? Is it possible to provide a different "open" implementation to different "instances" of the zipfile module? (I think not, as there is no such thing as "a different instance of a module", but perhaps you could have two rexec "workspaces" each of which has a zipfile module with a different "open"?) > > In this scheme, there are no flags, and when you run code > > that you think might misuse this feature, you simply don't give that > > code a reference to the ZipFile class. (Also, we have to arrange > > that it can't acquire a reference by "import zipfile".) > > The rexec world solves this very nicely IMO. Can't the capability > world do it the same way? The only difference might be that 'open' > would have to be a capability. I don't understand exactly how rexec works yet, but so far it sounds like capabilities. Here's a two sentence definition of capabilities: Authority originates in C code (in the interpreter or C extension modules), and is passed from thing to thing. A given thing "X" -- an instance of ZipFile, for example -- has the authority to use a given authority -- to invoke the real open(), for example -- if and only if some thing "Y" previously held both the "open()" authority and the "authority to extend authorities to X" authority, and chose to extend the "open()" authority to X. That rule could be enforced with the rexec system, right? Here is a graphical representation of this rule. (Taken from [1].) http://www.erights.org/elib/capability/ode/images/fundamental.gif In the diagram, the authority is "Carol", the thing that started with the authority is "Alice", and Alice is in the process of extending to Bob the authority to use Carol. This act -- the extending of authority from Alice to Bob -- is the only way that Bob can gain authority, and it can only happen if Alice has both the authority to use Carol and the authority to extend authorities to Bob. Those two sentences above (and equivalently the graph) completely define capabilities, in the abstract. They don't say how they are implemented. A particular implementation that I find deeply appealing is to make "has a reference to 'open'" be the determiner of whether a thing has the authority to use "open", and to make "has a reference to X" be the determiner of whether a thing has the authority to extend authorities to X. That's "unifying designation with authority", and that's what the E language does. > But I think "this code can't use ZipFile" is the wrong thing to say. > You should only have to say "this code can't write files" (or > something more specific). I agree. I incorrectly inferred from previous messages that the current problem under discussion was allowing or denying access to the ZipFile class. But whatever resource we wish to control access to, these same techniques will apply. > > In a system where designation is not unified with authority, you > > tell this untrusted code "I want you to do this action X.", and then > > you also have to go update the policy specification to say that the > > code in question is allowed to do the action X. > > Sorry, you've lost me here. Which part is the "designation" (new word > for me) and which part is the "authority"? Sorry. First let me point out that the issue of unifying designation with authority is separable from "the capability access control rule" described above. The two have good synergy, but aren't identical. By "designation" I meant "naming". For example... Let's see, I think I'll go back to my toy tictactoe example from [2]. In the tictactoe example, you have to specify which wxWindow the tictactoe game object should draw into. This is "designation" -- you pass a reference, which designates which specific window you are talking about. If you use the principle of unifying designation and authority, then this same act -- passing a reference to this particular wxWindows object -- conveys both the identification of which window to draw into and the authority to draw into it. # access control system with unified designation and authority game = TicTacToeGame() game.display(wxPython.wxWindow()) If you have separate designation and authority, then the same code has to look something like this: # access control system with separate designation and authority game = TicTacToeGame() window = wxPython.wxWindow() def policy(subject, resource, operation): if (subject is game) and (resource is window) and \ (operation == "invoke methods of"): return True return False rexec.register_policy_hook(policy) game.display(window) This is what I call "say it twice if you really mean it". Hm. Reviewing the rexec docs, I being to suspect that the "access control system with unified designation and authority" *is* how Python does access control in restricted mode, and that rexec itself is just to manage module import and certain dangerous builtins. > It really sounds to me like at least one of our fundamental (?) > differences is the autonomicity of code units. I think of code (at > least Python code) as a passive set of instructions that has no > inherent authority but derives authority from the built-ins passed to > it; you seem to describe code as having inherent authority. I definitely don't intend for code to have inherent authority (other than the Trusted Code Base -- the interpreter -- which can't help but have it). The word "thing" in my two-sentence definition (a white circle in the diagram) are "computational things that can have state and behavior". (This includes Python objects, closures, stack frames, etc... In another context I would call them "objects", but Python uses the word "object" for something more specific -- an instance of a class.) > > This would be effectively the "virtualization" of access control. I > > regard it as a kind of holy Grail for internet computing. > > How practical is this dream? How useful? Let's revisit the issue once we understand one another's access control schemes. ;-) Regards, Zooko [1] http://www.erights.org/elib/capability/ode/overview.html [2] http://mail.python.org/pipermail/python-dev/2003-March/033938.html http://zooko.com/ ^-- under re-construction: some new stuff, some broken links

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Python-Dev March 2003