Mailman 3 July 2005 - 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: subprocess and EINTR errnos
by Peter Astrand 06 Jul '09

06 Jul '09

On Wed, 10 Nov 2004, John P Speno wrote: Hi, sorry for the delayed response. > While using subprocess (aka popen5), I came across one potential gotcha. I've had > exceptions ending like this: > > File "test.py", line 5, in test > cmd = popen5.Popen(args, stdout=PIPE) > File "popen5.py", line 577, in __init__ > data = os.read(errpipe_read, 1048576) # Exceptions limited to 1 MB > OSError: [Errno 4] Interrupted system call > > (on Solaris 9) > > Would it make sense for subprocess to use a more robust read() function > which can handle these cases, i.e. when the parent's read on the pipe > to the child's stderr is interrupted by a system call, and returns EINTR? > I imagine it could catch EINTR and EAGAIN and retry the failed read(). I assume you are using signals in your application? The os.read above is not the only system call that can fail with EINTR. subprocess.py is full of other system calls that can fail, and I suspect that many other Python modules are as well. I've made a patch (attached) to subprocess.py (and test_subprocess.py) that should guard against EINTR, but I haven't committed it yet. It's quite large. Are Python modules supposed to handle EINTR? Why not let the C code handle this? Or, perhaps the signal module should provide a sigaction function, so that users can use SA_RESTART. Index: subprocess.py =================================================================== RCS file: /cvsroot/python/python/dist/src/Lib/subprocess.py,v retrieving revision 1.8 diff -u -r1.8 subprocess.py --- subprocess.py 7 Nov 2004 14:30:34 -0000 1.8 +++ subprocess.py 17 Nov 2004 19:42:30 -0000 @@ -888,6 +888,50 @@ pass + def _read_no_intr(self, fd, buffersize): + """Like os.read, but retries on EINTR""" + while True: + try: + return os.read(fd, buffersize) + except OSError, e: + if e.errno == errno.EINTR: + continue + else: + raise + + + def _read_all(self, fd, buffersize): + """Like os.read, but retries on EINTR, and reads until EOF""" + all = "" + while True: + data = self._read_no_intr(fd, buffersize) + all += data + if data == "": + return all + + + def _write_no_intr(self, fd, s): + """Like os.write, but retries on EINTR""" + while True: + try: + return os.write(fd, s) + except OSError, e: + if e.errno == errno.EINTR: + continue + else: + raise + + def _waitpid_no_intr(self, pid, options): + """Like os.waitpid, but retries on EINTR""" + while True: + try: + return os.waitpid(pid, options) + except OSError, e: + if e.errno == errno.EINTR: + continue + else: + raise + def _execute_child(self, args, executable, preexec_fn, close_fds, cwd, env, universal_newlines, startupinfo, creationflags, shell, @@ -963,7 +1007,7 @@ exc_value, tb) exc_value.child_traceback = ''.join(exc_lines) - os.write(errpipe_write, pickle.dumps(exc_value)) + self._write_no_intr(errpipe_write, pickle.dumps(exc_value)) # This exitcode won't be reported to applications, so it # really doesn't matter what we return. @@ -979,7 +1023,7 @@ os.close(errwrite) # Wait for exec to fail or succeed; possibly raising exception - data = os.read(errpipe_read, 1048576) # Exceptions limited to 1 MB + data = self._read_all(errpipe_read, 1048576) # Exceptions limited to 1 MB os.close(errpipe_read) if data != "": child_exception = pickle.loads(data) @@ -1003,7 +1047,7 @@ attribute.""" if self.returncode == None: try: - pid, sts = os.waitpid(self.pid, os.WNOHANG) + pid, sts = self._waitpid_no_intr(self.pid, os.WNOHANG) if pid == self.pid: self._handle_exitstatus(sts) except os.error: @@ -1015,7 +1059,7 @@ """Wait for child process to terminate. Returns returncode attribute.""" if self.returncode == None: - pid, sts = os.waitpid(self.pid, 0) + pid, sts = self._waitpid_no_intr(self.pid, 0) self._handle_exitstatus(sts) return self.returncode @@ -1049,27 +1093,33 @@ stderr = [] while read_set or write_set: - rlist, wlist, xlist = select.select(read_set, write_set, []) + try: + rlist, wlist, xlist = select.select(read_set, write_set, []) + except select.error, e: + if e[0] == errno.EINTR: + continue + else: + raise if self.stdin in wlist: # When select has indicated that the file is writable, # we can write up to PIPE_BUF bytes without risk # blocking. POSIX defines PIPE_BUF >= 512 - bytes_written = os.write(self.stdin.fileno(), input[:512]) + bytes_written = self._write_no_intr(self.stdin.fileno(), input[:512]) input = input[bytes_written:] if not input: self.stdin.close() write_set.remove(self.stdin) if self.stdout in rlist: - data = os.read(self.stdout.fileno(), 1024) + data = self._read_no_intr(self.stdout.fileno(), 1024) if data == "": self.stdout.close() read_set.remove(self.stdout) stdout.append(data) if self.stderr in rlist: - data = os.read(self.stderr.fileno(), 1024) + data = self._read_no_intr(self.stderr.fileno(), 1024) if data == "": self.stderr.close() read_set.remove(self.stderr) Index: test/test_subprocess.py =================================================================== RCS file: /cvsroot/python/python/dist/src/Lib/test/test_subprocess.py,v retrieving revision 1.14 diff -u -r1.14 test_subprocess.py --- test/test_subprocess.py 12 Nov 2004 15:51:48 -0000 1.14 +++ test/test_subprocess.py 17 Nov 2004 19:42:30 -0000 @@ -7,6 +7,7 @@ import tempfile import time import re +import errno mswindows = (sys.platform == "win32") @@ -35,6 +36,16 @@ fname = tempfile.mktemp() return os.open(fname, os.O_RDWR|os.O_CREAT), fname + def read_no_intr(self, obj): + while True: + try: + return obj.read() + except IOError, e: + if e.errno == errno.EINTR: + continue + else: + raise + # # Generic tests # @@ -123,7 +134,7 @@ p = subprocess.Popen([sys.executable, "-c", 'import sys; sys.stdout.write("orange")'], stdout=subprocess.PIPE) - self.assertEqual(p.stdout.read(), "orange") + self.assertEqual(self.read_no_intr(p.stdout), "orange") def test_stdout_filedes(self): # stdout is set to open file descriptor @@ -151,7 +162,7 @@ p = subprocess.Popen([sys.executable, "-c", 'import sys; sys.stderr.write("strawberry")'], stderr=subprocess.PIPE) - self.assertEqual(remove_stderr_debug_decorations(p.stderr.read()), + self.assertEqual(remove_stderr_debug_decorations(self.read_no_intr(p.stderr)), "strawberry") def test_stderr_filedes(self): @@ -186,7 +197,7 @@ 'sys.stderr.write("orange")'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT) - output = p.stdout.read() + output = self.read_no_intr(p.stdout) stripped = remove_stderr_debug_decorations(output) self.assertEqual(stripped, "appleorange") @@ -220,7 +231,7 @@ stdout=subprocess.PIPE, cwd=tmpdir) normcase = os.path.normcase - self.assertEqual(normcase(p.stdout.read()), normcase(tmpdir)) + self.assertEqual(normcase(self.read_no_intr(p.stdout)), normcase(tmpdir)) def test_env(self): newenv = os.environ.copy() @@ -230,7 +241,7 @@ 'sys.stdout.write(os.getenv("FRUIT"))'], stdout=subprocess.PIPE, env=newenv) - self.assertEqual(p.stdout.read(), "orange") + self.assertEqual(self.read_no_intr(p.stdout), "orange") def test_communicate(self): p = subprocess.Popen([sys.executable, "-c", @@ -305,7 +316,8 @@ 'sys.stdout.write("\\nline6");'], stdout=subprocess.PIPE, universal_newlines=1) - stdout = p.stdout.read() + + stdout = self.read_no_intr(p.stdout) if hasattr(open, 'newlines'): # Interpreter with universal newline support self.assertEqual(stdout, @@ -343,7 +355,7 @@ def test_no_leaking(self): # Make sure we leak no resources - max_handles = 1026 # too much for most UNIX systems + max_handles = 10 # too much for most UNIX systems if mswindows: max_handles = 65 # a full test is too slow on Windows for i in range(max_handles): @@ -424,7 +436,7 @@ 'sys.stdout.write(os.getenv("FRUIT"))'], stdout=subprocess.PIPE, preexec_fn=lambda: os.putenv("FRUIT", "apple")) - self.assertEqual(p.stdout.read(), "apple") + self.assertEqual(self.read_no_intr(p.stdout), "apple") def test_args_string(self): # args is a string @@ -457,7 +469,7 @@ p = subprocess.Popen(["echo $FRUIT"], shell=1, stdout=subprocess.PIPE, env=newenv) - self.assertEqual(p.stdout.read().strip(), "apple") + self.assertEqual(self.read_no_intr(p.stdout).strip(), "apple") def test_shell_string(self): # Run command through the shell (string) @@ -466,7 +478,7 @@ p = subprocess.Popen("echo $FRUIT", shell=1, stdout=subprocess.PIPE, env=newenv) - self.assertEqual(p.stdout.read().strip(), "apple") + self.assertEqual(self.read_no_intr(p.stdout).strip(), "apple") def test_call_string(self): # call() function with string argument on UNIX @@ -525,7 +537,7 @@ p = subprocess.Popen(["set"], shell=1, stdout=subprocess.PIPE, env=newenv) - self.assertNotEqual(p.stdout.read().find("physalis"), -1) + self.assertNotEqual(self.read_no_intr(p.stdout).find("physalis"), -1) def test_shell_string(self): # Run command through the shell (string) @@ -534,7 +546,7 @@ p = subprocess.Popen("set", shell=1, stdout=subprocess.PIPE, env=newenv) - self.assertNotEqual(p.stdout.read().find("physalis"), -1) + self.assertNotEqual(self.read_no_intr(p.stdout).find("physalis"), -1) def test_call_string(self): # call() function with string argument on Windows /Peter Åstrand <astrand(a)lysator.liu.se>

5 5

FishEye on Python CVS Repository
by Peter Moore 16 Jun '06

16 Jun '06

Greetings Python Developers, I'm responsible for setting up free FishEye hosting for community projects. As a long time python user I of course added Python up front. You can see it here: http://fisheye.cenqua.com/viewrep/python/ If you aren't familiar with FishEye, it is a repository browsing, searching, analysis, monitoring..., tool for CVS (SVN coming soon). Cool features include: RSS feeds http://fisheye.cenqua.com/changelog/%7Erss/python/rss.xml Synthetic changesets http://fisheye.cenqua.com/changelog/python/ and Pretty ediffs http://fisheye.cenqua.com/viewrep/python/python/nondist/peps/pep-0343.txt?r… SQL like search http://fisheye.cenqua.com/search/python/?ql= Note that normally FishEye is pretty close to real time (i.e. when run on a local repository), but we can only get SF updates once a day, and they are potentially a bit old when we grab them. Feel free to mail me direct pete _at_ cenqua _dot_ com if you want to tweak the python instance or have any other questions/comments not appropriate for this list. Cheers, Pete. --- +61-414-587637 www.cenqua.com/fisheye

3 2

problem installing current cvs
by Irmen de Jong 17 Apr '06

17 Apr '06

Hi, I'm having 2 problems with the current cvs : During compilation this warning occurs: *** WARNING: renaming "dbm" since importing it failed: build/lib.linux-i686-2.5/ dbm.so: undefined symbol: dbm_firstkey and the 'dbm' module is unavailable. I'm running MandrakeLinux 2005 (10.2) gcc 3.4.3 (I'm also having this problem when compiling python 2.3.5 or 2.4.1) furthermore the 'make install' of current cvs fails halfway trough with the following errors: ..... ..... Compiling /opt/python25/lib/python2.5/bsddb/test/test_associate.py ... Sorry: TabError: ('inconsistent use of tabs and spaces in indentation', ('/opt/python25/lib/python2.5/bsddb/test/test_associate.py', 97, 23, '\t os.mkdir(homeDir)\n')) Compiling /opt/python25/lib/python2.5/bsddb/test/test_basics.py ... Sorry: TabError: ('inconsistent use of tabs and spaces in indentation', ('/opt/python25/lib/python2.5/bsddb/test/test_basics.py', 400, 26, '\t if get_raises_error:\n')) Compiling /opt/python25/lib/python2.5/bsddb/test/test_compare.py ... Sorry: TabError: ('inconsistent use of tabs and spaces in indentation', ('/opt/python25/lib/python2.5/bsddb/test/test_compare.py', 167, 5, '\t"""\n')) ..... ..... Compiling /opt/python25/lib/python2.5/bsddb/test/test_recno.py ... Sorry: TabError: ('inconsistent use of tabs and spaces in indentation', ('/opt/python25/lib/python2.5/bsddb/test/test_recno.py', 38, 46, '\tget_returns_none = d.set_get_returns_none(2)\n')) ..... ..... make: *** [libinstall] Error 1 $ And then it quits. Fixing the tab indentation errors locally makes the problem go away. Regards, Irmen de Jong

5 4

Re: [Python-Dev] GCC version compatibility
by David Abrahams 17 Apr '06

17 Apr '06

[Christoph, please keep the python-dev list in the loop here, at least until they get annoyed and decide we're off-topic. I think this is crucial to the way they package and deliver Python] Christoph Ludwig <cludwig(a)cdc.informatik.tu-darmstadt.de> writes: > On Thu, Jul 07, 2005 at 06:27:46PM -0400, David Abrahams wrote: >> "Martin v. Löwis" <martin(a)v.loewis.de> writes: >> >> > David Abrahams wrote: >> >> I'm wondering if there has been a well-known recent change either in Python >> >> or GCC that would account for these new reports. Any relevant >> >> information would be appreciated. > [...] >> > Python is linked with g++ if configure thinks this is necessary >> >> Right. The question is, when should configure "think it's necessary?" > > Just to add to the confusion... I encountered the case that configure decided > to use gcc for linking but it should have used g++. (It is Python > PR #1189330 <http://tinyurl.com/dlheb>. This was on a x86 Linux system with > g++ 3.4.2.) > > Background: The description of --with-cxx in the README of the > Python 2.4.1 source distribution made me think that I need to > configure my Python installation with > --with-configure=/opt/gcc/gcc-3.4.2/bin/g++ if I plan to use C++ > extensions built with this compiler. (That was possibly a > misunderstanding on my part, AFAICT, yes. > but Python should build with this option anyway.) > > configure set `LINKCC=$(PURIFY) $(CC)'. The result was that make failed when > linking the python executable due to an unresolved reference to > __gxx_personality_v0. I had to replace CC by CXX in the definition of LINKCC > to finish the build of Python. > > When I looked into this problem I saw that configure in fact builds a test > executable that included an object file compiled with g++. If the link step > with gcc succeeds then LINKCC is set as above, otherwise CXX is > used. Obviously, on my system this test was successful so configure decided > to link with gcc. However, minimal changes to the source of the test program > caused the link step to fail. It was not obvious to me at all why the latter > source code should cause a dependency on the C++ runtime if the original > code does not. My conclusion was that this test is fragile and should be > skipped. Sounds like it. I have never understood what the test was really checking for since the moment it was first described to me, FWIW. > If Python is built with --with-cxx then it should be linked with CXX > as well. U betcha. > I gather from posts on the Boost mailing lists that you can import > Boost.Python extensions even if Python was configured > --without-cxx. Yes, all the tests are passing that way. > (On ELF based Linux/x86, at least.) That leaves me wondering > > * when is --with-cxx really necessary? I think it's plausible that if you set sys.dlopenflags to share symbols it *might* end up being necessary, but IIRC Ralf does use sys.dlopenflags with a standard build of Python (no --with-cxx)... right, Ralf? > * what happens if I import extensions built with different g++ versions? Will > there be a conflict between the different versions of libstdc++ those > extensions depend on? Not unless you set sys.dlopenflags to share symbols. It's conceivable that they might conflict through their shared use of libboost_python.so, but I think you have to accept that an extension module and the libboost_python.so it is linked with have to be built with compatible ABIs anyway. So in that case you may need to make sure each group of extensions built with a given ABI use their own libboost_python.so (or just link statically to libboost_python.a if you don't need cross-module conversions). HTH, -- Dave Abrahams Boost Consulting www.boost-consulting.com

6 27

PEP: Migrating the Python CVS to Subversion
by "Martin v. Löwis" 15 Aug '05

15 Aug '05

I'd like to see the Python source be stored in Subversion instead of CVS, and on python.org instead of sf.net. To facilitate discussion, I have drafted a PEP describing the rationale for doing so, and the technical procedure to be performed. This is for discussion on python-dev and eventual BDFL pronouncement; if you see a reason not to make such a change, or if you would prefer a different procedure, please speak up. Encouragement and support is welcome, as well :-) Regards, Martin PEP: XXX Title: Migrating the Python CVS to Subversion Version: $Revision $ Last-Modified: $Date$ Author: Martin v. Löwis <martin(a)v.loewis.de> Discussions-To: <python-dev(a)python.org> Status: Draft Type: Standards Track Content-Type: text/x-rst Created: 14-Jul-2004 Post-History: 14-Jul-2004 Abstract ======== The Python source code is currently managed in a CVS repository on sourceforge.net. This PEP proposes to move it to a subversion repository on svn.python.org. Rationale ========= This change has two aspects: moving from CVS to subversion, and moving from SourceForge to python.org. For each, a rationale will be given. Moving to Subversion -------------------- CVS has a number of limitations that have been elimintation by Subversion. For the development of Python, the most notable improvements are: - ability to rename files and directories, and to remove directories, while keeping the history of these files. - support for change sets (sets of correlated changes to multiple files) through global revision numbers. - support for offline diffs, which is useful when creating patches. Moving to python.org -------------------- SourceForge has kindly provided an important infrastructure for the past years. Unfortunately, the attention that SF received has also caused repeated overload situations in the past, to which the SF operators could not always respond in a timely manner. In particular, for CVS, they had to reduce the load on the primary CVS server by introducing a second, read-only CVS server for anonymous access. This server is regularly synchronized, but behind the the read-write CVS repository between synchronizations. As a result, users without commit access can see recent changes to the repository only with a delay. On python.org, it would be possible to make the repository accessible for anonymous access. Migration Procedure =================== To move the Python CVS repository, the following steps need to be executed. The steps are elaborated in more detail in the next sections. 1. Assign passwords for all current committers for use on svn.python.org. User names on SF and svn.python.org should be identical, unless some committer requests a different user name. 2. At the beginning of the migration, announce that the repository on SourceForge closed. 3. 24 hours after the last commit, download the CVS repository. 4. Convert the CVS repository into two subversion repositories, one for distutils and one for Python. 5. Publish the repositories for write access for all committers, and anonymous read access. 6. Disable CVS access on SF. Assign Passwords ================ Currently, access to Subversion on svn.python.org uses WebDAV over https, using basic authentication. For this to work, authorized users need to provide a password. This mechanism should be used, atleast initially, for the Python CVS as well, since various committers also have a username/password pair for the www SVN repository already. Alternatives to password-based access include: - Subversion over SSH, using SSH key pairs. This would require to give committers accounts on the machine, which currently is ruled out by the administration policy of svn.python.org. - Subversion over WebDAV, using SSL client certificates. This would work, but would require to administrate a certificate authority. Downloading the CVS Repository ============================== The CVS repository can be downloaded from http://cvs.sourceforge.net/cvstarballs/python-cvsroot.tar.bz2 Since this tarball is generated only once a day, some time after the repository freeze must pass before the tarball can be picked up. It should be verified that the last commit, as recorded on the python-commits mailing list, is indeed included in the tarball. Converting the CVS Repository ============================= The Python CVS repository contains two modules: distutils and python. Keeping them together will produce quite long repository URLs, so it is more convenient if the Python CVS and the distutils CVS are converted into two separate repositories. As the repository format, fsfs should be used (requires Subversion 1.1). fsfs has the advantage of being more backup-friendly, as it allows to backup a repository incrementally, without requiring to run any dump commands. The conversion should be done using cvs2svn utility, available e.g. in the cvs2svn Debian package. The command for converting the Python repository is cvs2svn -q --encoding=latin1 --force-branch=cnri-16-start --force-branch=descr-branch --force-branch=release152p1-patches --force-tag=r16b1 --fs-type=fsfs -s py.svn.new python/python The command to convert the distutils repository is cvs2svn -q --encoding=latin1 --fs-type=fsfs -s dist.svn.new python/distutils Sample results of this conversion are available at http://www.dcl.hpi.uni-potsdam.de/python/ http://www.dcl.hpi.uni-potsdam.de/distutils/ Publish the Repositories ======================== The repositories should be published at https://svn.python.org/python and https://svn.python.org/distutils. Read-write should be granted through basic authentication to all current SF committers; read-only access should be granted anonymously. As an option, websvn (available e.g. from the Debian websvn package) could be provided. The current SF project admins should get write access to the password file, in order to create or delete new users. Disable CVS =========== It appears that CVS cannot be disabled entirely. Only the user interface can be removed from the project page; the repository itself remains available. If desired, write access to the python and distutils modules can be disabled through a commitinfo entry.

32 126

Terminology for PEP 343
by Raymond Hettinger 12 Aug '05

12 Aug '05

With 343 accepted, we can now add __enter__() and __exit__() methods to objects. What term should describe those objects in the documentation? For instance, if the new magic methods are added to decimal.Context(), do we then describe Context objects as "withable" ;-) The PEP itself doesn't provide much of a clue. The terms "template", "wrapper", and "block" are over-broad and do not provide a metaphor for setup/teardown, r entry/exit, or initialization/finalization. Whatever term is selected, it should be well thought-out and added to the glossary. The choice of words will likely have a great effect on learnability and on how people think about the new tool. Raymond

16 33

Pre-PEP: Exception Reorganization for Python 3.0
by Brett Cannon 03 Aug '05

03 Aug '05

Well, it has been discussed at multiple times in the past and I have promised to write this PEP several times, so I finally found enough time to write a PEP on reorganizing exceptions for Python 3.0 . Key points in this PEP is the reworking the hierarchy, requiring anything raised to inherit from a certain superclass, and to change bare 'except' clauses to catch a specific superclass. The first and last points I expect some contention, but the middle point I expect people are okay with (Guido liked the idea when Paul Prescod brought it up and the only person who didn't like it, Holger, ended up being okay with it when the superclass had a reasonable name). One thing people might not notice is that I have some minor ideas listed in the tree in parentheses. If people have an opinion on the ideas please speak up. Otherwise the other major points of contention are covered in the Open Issues section or will be brought up in the usual trashing of PEPs that cover contraversial changes. And please realize this is for Python 3.0! None of this is being proposed for any version before then (they could be, but that is another PEP entirely). Hopefully this PEP along with Ping's PEP 344 will cover the major ideas for exceptions for Python 3.0 . -Brett -------------------------------------------------------------- PEP: XXX Title: Exception Reorganization for Python 3.0 Version: $Revision: 1.5 $ Last-Modified: $Date: 2005/06/07 13:17:37 $ Author: Brett Cannon <brett(a)python.org> Status: Draft Type: Standards Track Content-Type: text/x-rst Created: 28-Jul-2005 Post-History: XX-XXX-XXX Abstract ======== Python, as of version 2.4, has 38 exceptions (including warnings) in the built-in namespace in a rather shallow hierarchy. This list of classes has grown over the years without a chance to learn from mistakes and cleaning up the hierarchy. This PEP proposes doing a reorganization for Python 3000 when backwards-compatibility is not an issue. It also proposes changing bare ``except`` clauses to catch only exceptions inheriting from a specific superclass. Lastly, this PEP proposes, in Python 3000, that all objects to be passed to a ``raise`` statement must inherit from a specific superclass. Rationale ========= Exceptions are a critical part of Python. While exceptions are traditionally used to signal errors in a program, they have also grown to be used for flow control for things such as iterators. There importance is great. But the organization of the exception hierarchy has not been maintained. Mostly for backwards-compatibility reasons, the hierarchy has stayed very flat and old exceptions who usefulness have not been proven have been left in. Making exceptions more hierarchical would help facilitate exception handling by making catching exceptions much more logical with use of superclasses. This should also help lead to less errors from being too broad in what exceptions are caught in an ``except`` clause. A required superclass for all exceptions is also being proposed [Summary2004-08-01]_. By requiring any object that is used in a ``raise`` statement to inherit from a specific superclass, certain attributes (such as those laid out in PEP 344 [PEP344]_) can be guaranteed to exist. This also will lead to the planned removal of string exceptions. Lastly, bare ``except`` clauses can be made less error-prone [Summary2004-09-01]_. Often people use a bare ``except`` when what they really wanted were non-critical exceptions to be caught while more system-specific ones, such as MemoryError, to pass through and to halt the interpreter. With a hierarchy reorganization, bare ``except`` clauses can be changed to only catch exceptions that subclass a non-critical exception superclass, allowing more critical exceptions to propagate to the top of the execution stack as was most likely intended. Philosophy of Reorganization ============================ There are several goals in this reorganization that defined the philosophy used to guide the work. One goal was to prune out unneeded exceptions. Extraneous exceptions should not be left in since it just serves to clutter the built-in namespace. Unneeded exceptions also dilute the importance of other exceptions by splitting uses between several exceptions when all uses should have been under a single exception. Another goal was to introduce any exceptions that were deemed needed to fill any holes in the hierarchy. Most new exceptions were done to flesh out the inheritance hierarchy to make it easier to catch a category of exceptions with a simpler ``except`` clause. Changing inheritance to make it more reasonable was a goal. As stated above, having proper inheritance allows for more accurate ``except`` statements when catching exceptions based on the inheritance tree. Lastly, any renaming to make an exception's use more obvious from its name was done. Having to look up what an exception is meant to be used for because the name does not proper reflect its usage is annoying and slows down debugging. Having a proper name also makes debugging easier on new programmers. New Hierarchy ============= Raisable (new; rename BaseException?) +-- CriticalException (new) +-- KeyboardInterrupt +-- MemoryError +-- SystemExit +-- SystemError (subclass SystemExit?) +-- AssertionError +-- SyntaxError +-- IndentationError +-- TabError +-- Exception (replaces StandardError) +-- ArithmeticError +-- FloatingPointError +-- DivideByZeroError +-- OverflowError +-- ControlFlowException (new) +-- StopIteration +-- GeneratorExit (introduced by PEP 342 [PEP342]_; subclass StopIteration?) +-- UnicodeError +-- UnicodeDecodeError +-- UnicodeEncodeError +-- UnicodeTranslateError (subclass UnicodeEncodeError and UnicodeDecodeError?) +-- LookupError (better name?) +-- IndexError +-- KeyError +-- TypeError +-- AttributeError (subclassing new) +-- OSError (does not inherit from EnvironmentError) +-- WindowsError +-- MacError (new) +-- UnixError (new) +-- IOError (does not inherit from EnvironmentError) +-- EOFError (subclassing new) +-- ImportError +-- NotImplementedError +-- NamespaceException (new) +-- UnboundGlobalError (new name for NameError) +-- UnboundLocalError (no longer subclasses UnboundGlobalError which replaces NameError) +-- WeakReferenceError (rename for ReferenceError) +-- ValueError +-- Warning +-- UserWarning +-- PendingDeprecationWarning +-- DeprecationWarning (subclassing new) +-- SyntaxWarning +-- SemanticsWarning (new name for RuntimeWarning) +-- FutureWarning Differences Compared to Python 2.4 ================================== Changes to exceptions from Python 2.4 can take shape in three forms: removal, renaming, or change in their superclass. There are also new exceptions introduced in the proposed hierarchy. New Exceptions -------------- Raisable '''''''' The base exception **all** exceptions inherit from. The name "Raisable" has been chosen to reflect that it is not meant to be treated as an exception directly, but as the common object that all things to base passed to ``raise`` must inherit from. CriticalException ''''''''''''''''' The superclass for exceptions for which a severe error has occurred that one would not want to catch accidentally. The name is meant to reflect the point that these exceptions are usually raised only when the interpreter should most likely be terminated. MacError '''''''' Introduced for symmertry with WindowsError. UnixError ''''''''' Introduced for symmetry with WindowsError. NamespaceException '''''''''''''''''' To provide a common superclass for exceptions dealing with namespace issues, this exception is introduced. Both UnboundLocalError and UnboundGlobalError (the new name for NameError) inherit from this class. Removed Exceptions ------------------ EnvironmentError '''''''''''''''' Originally meant as an exception for when an event outside of the interpreter needed to raise an exception, its use has been deemed unneeded. While both IOError and OSError inherited this class, the distinction between OS and I/O is significant enough to not warrant having a common subclass that one might base an ``except`` clause on. StandardError ''''''''''''' Originally meant to act as a superclass for exceptions not considered critical, its subclassing was rampant and partially negated its usefulness. The need for StandardError is negated thanks to the CriticalException/Exception dichotomy where Exception takes its place. RuntimeError '''''''''''' Meant to be used when an existing exception does not fit, its usefulness is consider meager in Python 2.4 [exceptionsmodule]_. Also, with the CriticalException/Exception dichotomy, Exception or CriticalException can be raised directly for the same use. Renamed Exceptions ------------------ ReferenceError '''''''''''''' Renamed WeakReferenceError. ReferenceError was added to the built-in exception hierarchy in Python 2.2 [exceptionsmodule]_. Taken directly from the ``weakref`` module, its name comes directly from its original name when it resided in the module. Unfortunately its name does not suggest its connection to weak references and thus deserves a renaming. NameError ''''''''' Renamed UnboundGlobalError. While NameError suggests its use, the name does not properly restrict its scope. With UnboundLocalError already in existence, it seems reasonable to change NameError to UnboundGlobalError to brings its name more in line. RuntimeWarning '''''''''''''' Renamed SemanticsWarning. RuntimeWarning is to represent semantic changes coming in the future. But while saying that affects "runtime" is true, flat-out stating it is a semantic change is much clearer, eliminating any possible association of "runtime" with the virtual machine specifically. Changed Inheritance ------------------- StopIteration and GeneratorExit ''''''''''''''''''''''''''''''' Inherit from ControlFlowException. Collecting all control flow-related exceptions under a common superclass continues with the theme of maintaining a hierarchy. AttributeError '''''''''''''' Inherits TypeError. Since most attribute access errors can be attributed to an object not being the type that one expects, it makes sense for AttributeError to be considered a type error. IOError ''''''' No longer subclasses EnvironmentError. While IOError does fall under the umbrella of EnvironmentError, the need for EnvironmentError has been deemed wanting, and thus has been removed. Thus IOError now subclasses Exception directly. EOFError '''''''' Subclasses IOError. Since an EOF comes from I/O it only makes sense that it be considered an I/O error. UnboundGlobalError and UnboundLocalError '''''''''''''''''''''''''''''''''''''''' Both subclass NamespaceException. Originally UnboundLocalError subclassed NameError (original name of UnboundGlobalError), but with both exceptions specifying a certain namespace, that subclassing has been deemed inappropriate. Instead, a common class between the two of them has been introduced. DeprecationWarning ''''''''''''''''''' Subclasses PendingDeprecationWarning. Since a DeprecationWarning is a PendingDeprecationWarning that is happening sooner, if you care about PendingDeprecationWarnings you are defintely going to care about DeprecationWarnings. Required Base Class for ``raise`` ================================= By requiring all objects passed to a ``raise`` statement, one is guaranteed that all exceptions will have certain attributes. If PEP 342 [PEP344]_ is accepted, the attributes outlined there will be guaranteed to be on all exceptions raised. This should help facilitate debugging by making the querying of information from exceptions much easier. Technically speaking, this can be easily implemented by modifying ``RAISE_VARARGS`` to do an inheritance check and raise TypeError if it does not inherit from Raisable. Bare ``except`` Clauses ======================= Bare ``except`` clauses typically are not meant to catch all exceptions. Often times catching KeyboardInterrupt is not intended. Unfortunately the exception hierarchy in Python 2.4 does not support a simple way to control what exceptions are caught except to be very explicit with a list of exceptions. The reorganization changes this by adding more of a hierarchy. If bare ``except`` statements only catch classes that inherit from Exception, its use will be more in line with what people expect. An implementation can be handled at the bytecode level by modifying the compiler to emit bytecode to do a check for Exception when a bare ``except`` is used. Open Issues =========== Change the Name of Raisable? ---------------------------- It has been argued that Raisable is a bad name to use since it is not an actual word [python-dev1]_. At issue is choosing a name that clearly explains the class' usage. "BaseException" might be acceptable although the name does not quite make it as explicit as Raisable that the class is not meant to be raised directly. Should Bare ``except`` Clauses be Removed? ------------------------------------------ It has been argued that bare ``except`` clauses should be removed entirely [python-dev2]_. The train of thought is that it will force people to specify what they want to catch and not be too broad. One issue with this, though, is whether people will make the proper choices of what to catch or go too broadly. Would a new Python programmer make the right decision and not catch CriticalExceptions or would they go overboard and catch Raisable? It would seem the issue boils down to whether we think people will make proper decisions or make a reasonable solution available for the simplest case assuming they might make a bad one. Change the name of Exception? ----------------------------- Some have suggested names other than "Exception" for the superclass to inherit from for bare ``except`` clauses to match against. The issue with going with a name that is not simplistic is that it raises the chance of people subclassing the wrong exception for what they want. By using the most generic name for the common case it raises the chances that people will use this class for subclassing their own exceptions rather than Raisable or CriticalException. Acknowledgements ================ XXX References ========== .. [PEP342] PEP 342 (Coroutines via Enhanced Generators) (http://www.python.org/peps/pep-0342.html) .. [PEP344] PEP 344 (Exception Chaining and Embedded Tracebacks) (http://www.python.org/peps/pep-0344.html) .. [exceptionsmodules] 'exceptions' module (http://docs.python.org/lib/module-exceptions.html) .. [Summary2004-08-01] python-dev Summary (An exception is an exception, unless it doesn't inherit from Exception) (http://www.python.org/dev/summary/2004-08-01_2004-08-15.html#an-exception-i…) .. [Summary2004-09-01] python-dev Summary (Cleaning the Exception House) (http://www.python.org/dev/summary/2004-09-01_2004-09-15.html#cleaning-the-e…) .. [python-dev1] python-dev email (Exception hierarchy) (http://mail.python.org/pipermail/python-dev/2004-August/047908.html) .. [python-dev2] python-dev email (Dangerous exceptions) (http://mail.python.org/pipermail/python-dev/2004-September/048681.html) Copyright ========= This document has been placed in the public domain.

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__autoinit__ (Was: Proposal: reducing self.x=x; self.y=y; self.z=z boilerplate code)
by falcon 02 Aug '05

02 Aug '05

Hello python-list, As I Understood, semantic may be next: def qwerty(a,a.i,b,b.i,f.j): pass Would work like: def qwerty(anonymous1,anonymous2,anonymous3,anonymous4,anonymous5): (a,a.i,b,b.i,f.j)=(anonymous1,anonymous2,anonymous3,anonymous4,anonymous5) del anonymous1 del anonymous2 del anonymous3 del anonymous4 del anonymous5 If so then I like it, because it more explicit than anything other and it is working right now. I just tryed: >>> class Stub: ... pass >>> def qwer(a1,a2,a3,a4,a5): ... (a,a.i,b,b.i,f['i'])=(a1,a2,a3,a4,a5) ... del a1 ... del a2 ... del a3 ... del a4 ... del a5 ... print (a,a.i,b,b.i,f['i']) >>> f={} >>> qwer(Stub(),1,Stub(),2,3) (<__main__.Stub instance at 0x00C49530>, 1, <__main__.Stub instance at 0x00C498C8>, 2, 3) So there are not too much for implement. Another question - named arguments. How I can assign to them? May be so: f={} def qwerty(a,a.i,f['i']): print (a,a.i,f['i']) qwerty(f['i']=3,a=Stub(),a.i=4) - ? and for __init__: class MyClass: def __init__(self,self.i,self.j,self.k): pass MyObject = MyClass(self.i=1,self.j=2,self.k=3) ? or may be there can be an aliase syntax? class MyClass: def __init__(self, self.i by i,self.j by j, self.k by k): pass MyObject = MyClass(i=1,j=2,k=3) -- Sokolov Yura falcon(a)intercable.ru

2 1

Re: [Python-Dev] Pre-PEP: Exception Reorganization for Python 3.0
by Brett Cannon 30 Jul '05

30 Jul '05

On 7/30/05, Josiah Carlson <jcarlson(a)uci.edu> wrote: > > Brett Cannon <bcannon(a)gmail.com> wrote: > > > > +-- Warning > > > +-- DeprecationWarning > > > +-- FutureWarning > > > +-- PendingDeprecationWarning > > > > Don't like the idea of having DeprecationWarning inherit from > > PendingDeprecationWarning? > > Not all DeprecationWarnings are Pending, but all > PendingDeprecationWarnings are DeprecationWarnings. > See, I don't agree with that logic. DeprecationWarning means something has been deprecated, while PendingDeprecationWarning means something will be deprecated in the future. I am say that the for DeprecationWarning, the future is now and thus is a PendingDeprecationWarning as well. It also just makes sense from the standpoint of catching warnings. If you care about catching PendingDeprecationWarning you are going to care about catching a DeprecationWarning since if you are worrying about the less severe version you are definitely going to care about the most severe case. -Brett

2 1