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PEP: 258
Title: Docutils Design Specification
Version: $Revision$
Last-Modified: $Date$
Author: David Goodger <goodger@users.sourceforge.net>
Discussions-To: <doc-sig@python.org>
Status: Draft
Type: Standards Track
Content-Type: text/x-rst
Requires: 256, 257
Created: 31-May-2001
Post-History: 13-Jun-2001
==========
Abstract
==========
This PEP documents design issues and implementation details for
Docutils, a Python Docstring Processing System (DPS). The rationale
and high-level concepts of a DPS are documented in PEP 256, "Docstring
Processing System Framework" [#PEP-256]_. Also see PEP 256 for a
"Roadmap to the Doctring PEPs".
Docutils is being designed modularly so that any of its components can
be replaced easily. In addition, Docutils is not limited to the
processing of Python docstrings; it processes standalone documents as
well, in several contexts.
No changes to the core Python language are required by this PEP. Its
deliverables consist of a package for the standard library and its
documentation.
===============
Specification
===============
Docutils Project Model
======================
::
+--------------------------+
| Docutils: |
| docutils.core.Publisher, |
| docutils.core.publish() |
+--------------------------+
/ \
/ \
1,3,5,7 / \ 8,10
+--------+ +--------+
| READER | =========================> | WRITER |
+--------+ +--------+
/ || \ / \
/ || \ / \
2 / 4 || \ 6 9 / \ 11
+-----+ +--------+ +-------------+ +------------+ +-----+
| I/O | | PARSER |...| reader | | writer | | I/O |
+-----+ +--------+ | transforms | | transforms | +-----+
| | | |
| - docinfo | | - system |
| - titles | | messages |
| - linking | | - final |
| - lookups | | checks |
| - reader- | | - writer- |
| specific | | specific |
| - parser- | | - etc. |
| specific | +------------+
| - layout |
| (stylist) |
| - etc. |
+-------------+
The numbers indicate the path a document's data takes through the
code. Double-width lines between reader & parser and between reader &
writer indicate that data sent along these paths should be standard
(pure & unextended) Docutils doc trees. Single-width lines signify
that internal tree extensions or completely unrelated representations
are possible, but they must be supported at both ends.
Publisher
---------
The ``docutils.core`` module contains a "Publisher" facade class and
"publish" convenience function. Publisher encapsulates the high-level
logic of a Docutils system. The ``Publisher.publish()`` method first
calls its Reader, which reads data from its source I/O, parses and
transforms the data, and returns it. ``Publisher.publish()`` then
passes the resulting document tree to its Writer, which further
transforms the document before translating it to the final output
format and writing the formatted data to its destination I/O.
Calling the "publish" function (or instantiating a "Publisher" object)
with component names will result in default behavior. For custom
behavior (setting component options), create custom component objects
first, and pass *them* to publish/Publisher.
Readers
-------
Readers understand the input context (where the data is coming from),
send the whole input or discrete "chunks" to the parser, and provide
the context to bind the chunks together back into a cohesive whole.
Using transforms_, Readers also resolve references, footnote numbers,
interpreted text processing, and anything else that requires
context-sensitive computation.
Each reader is a module or package exporting a "Reader" class with a
"read" method. The base "Reader" class can be found in the
``docutils/readers/__init__.py`` module.
Most Readers will have to be told what parser to use. So far (see the
list of examples below), only the Python Source Reader ("PySource";
still incomplete) will be able to determine the parser on its own.
Responsibilities:
- Get input text from the source I/O.
- Pass the input text to the parser, along with a fresh doctree root.
- Run transforms over the doctree(s).
Examples:
- Standalone (Raw/Plain): Just read a text file and process it.
The reader needs to be told which parser to use.
The "Standalone Reader" has been implemented in module
``docutils.readers.standalone``.
- Python Source: See `Python Source Reader`_ below. This Reader is
currently in development in the Docutils sandbox.
- Email: RFC-822 headers, quoted excerpts, signatures, MIME parts.
- PEP: RFC-822 headers, "PEP xxxx" and "RFC xxxx" conversion to URIs.
Either interpret PEPs' indented sections or convert existing PEPs to
reStructuredText (or both?).
The "PEP Reader" is being implemented in module
``docutils.readers.pep``.
- Wiki: Global reference lookups of "wiki links" incorporated into
transforms. (CamelCase only or unrestricted?) Lazy
indentation?
- Web Page: As standalone, but recognize meta fields as meta tags.
Support for templates of some sort? (After ``<body>``, before
``</body>``?)
- FAQ: Structured "question & answer(s)" constructs.
- Compound document: Merge chapters into a book. Master TOC file?
Parsers
-------
Parsers analyze their input and produce a Docutils `document tree`_.
They don't know or care anything about the source or destination of
the data.
Each input parser is a module or package exporting a "Parser" class
with a "parse" method. The base "Parser" class can be found in the
``docutils/parsers/__init__.py`` module.
Responsibilities: Given raw input text and a doctree root node,
populate the doctree by parsing the input text.
Example: The only parser implemented so far is for the
reStructuredText markup. It is implemented in the
``docutils/parsers/rst/`` package.
Transforms
----------
Transforms change the document tree from one form to another, add to
the tree, or prune it. Transforms are run by Reader and Writer
objects. Some transforms are Reader-specific, some are
Parser-specific, and others are Writer-specific. The choice and order
of transforms is specified in the Reader and Writer objects.
Each transform is a class in a module in the ``docutils/transforms/``
package, a subclass of docutils.tranforms.Transform.
Responsibilities:
- Modify a doctree in-place, either purely transforming one structure
into another, or adding new structures based on the doctree and/or
external data.
Examples (in the ``docutils/transforms/`` package):
- frontmatter.DocInfo: Conversion of document metadata (bibliographic
information).
- references.Hyperlinks: Resolution of hyperlinks.
- parts.Contents: Generates a table of contents for a document.
- document.Merger: Combining multiple populated doctrees into one (not
yet implemented or fully understood).
- document.Splitter: Splits a document into a tree-structure of
subdocuments, perhaps by section. It will have to transform
references appropriately. (Neither implemented not remotely
understood.)
- universal.Pending: Handles transforms that must be executed at
specific stages of processing.
- components.Filter: Includes or excludes elements which depend on a
specific Docutils component (triggered by the universal.Pending
transform).
Writers
-------
Writers produce the final output (HTML, XML, TeX, etc.). Writers
translate the internal document tree structure into the final data
format, possibly running Writer-specific transforms_ first.
Each writer is a module or package exporting a "Writer" class with a
"write" method. The base "Writer" class can be found in the
``docutils/writers/__init__.py`` module.
Responsibilities:
- Run transforms over the doctree(s).
- Translate doctree(s) into specific output formats.
- Transform references into format-native forms.
- Write the translated output to the destination I/O.
Examples:
- XML: Various forms, such as:
- DocBook (being implemented in the Docutils sandbox).
- Raw doctree XML (accessible via "``doctree.asdom().toxml()``"; no
Writer component implemented yet).
- HTML (XHTML implemented as ``docutils.writers.html4css1``).
- PDF (a ReportLabs interface is being developed in the Docutils
sandbox).
- TeX
- Docutils-native pseudo-XML (implemented as
``docutils.writers.pseudoxml``, used for testing).
- Plain text
- reStructuredText?
Input/Output
------------
I/O classes provide a uniform API for low-level input and output.
Subclasses will exist for a variety of input/output mechanisms.
I/O classes are currently in the preliminary stages; there's a lot of
work yet to be done. Issues:
- Looking at the list of writers, it seems that only HTML would
require anything other than monolithic output. Perhaps "Writer"
variants, one for each output distribution type?
- How to represent a multi-file document (files & directories) in the
API?
Responsibilities:
- Read data from the input source and/or write data to the output
destination.
Examples of input sources:
- A single file on disk or a stream (implemented as
``docutils.io.FileInput``).
- Multiple files on disk (``MultiFileInput``?).
- Python source files: modules and packages.
- Python strings, as received from a client application
(implemented as ``docutils.io.StringInput``).
Examples of output destinations:
- A single file on disk or a stream (implemented as
``docutils.io.FileOutput``).
- A tree of directories and files on disk.
- A Python string, returned to a client application (implemented as
``docutils.io.StringOutput``).
- A single tree-shaped data structure in memory.
- Some other set of data structures in memory.
Docutils Package Structure
==========================
- Package "docutils".
- Class "Component" is a base class for Docutils components.
- Module "docutils.core" contains facade class "Publisher" and
convenience function "publish()". See `Publisher`_ above.
- Module "docutils.frontend" provides command-line and option
processing for Docutils front-end tools.
- Module "docutils.io" provides a uniform API for low-level input
and output. See `Input/Output`_ above.
- Module "docutils.nodes" contains the Docutils document tree
element class library plus Visitor pattern base classes. See
`Document Tree`_ below.
- Module "docutils.optik" provides option parsing and command-line
help; from Greg Ward's http://optik.sf.net/ project, included for
convenience.
- Module "docutils.roman" contains Roman numeral conversion
routines.
- Module "docutils.statemachine" contains a finite state machine
specialized for regular-expression-based text filters. The
reStructuredText parser implementation is based on this module.
- Module "docutils.urischemes" contains a mapping of known URI
schemes ("http", "ftp", "mail", etc.).
- Module "docutils.utils" contains utility functions and classes,
including a logger class ("Reporter"; see `Error Handling`_
below).
- Package "docutils.parsers": markup parsers_.
- Function "get_parser_class(parser_name)" returns a parser module
by name. Class "Parser" is the base class of specific parsers.
(``docutils/parsers/__init__.py``)
- Package "docutils.parsers.rst": the reStructuredText parser.
- Alternate markup parsers may be added.
See `Parsers`_ above.
- Package "docutils.readers": context-aware input readers.
- Function "get_reader_class(reader_name)" returns a reader module
by name or alias. Class "Reader" is the base class of specific
readers. (``docutils/readers/__init__.py``)
- Module "docutils.readers.standalone" reads independent document
files.
- Module "docutils.readers.pep" reads PEPs (Python Enhancement
Proposals).
- Readers to be added for: Python source code (structure &
docstrings), PEPs, email, FAQ, and perhaps Wiki and others.
See `Readers`_ above.
- Package "docutils.writers": output format writers.
- Function "get_writer_class(writer_name)" returns a writer module
by name. Class "Writer" is the base class of specific writers.
(``docutils/writers/__init__.py``)
- Module "docutils.writers.pseudoxml" is a simple internal
document tree writer; it writes indented pseudo-XML.
- Module "docutils.writers.html4css1" is a simple HyperText Markup
Language document tree writer for HTML 4.01 and CSS1.
- Writers to be added: HTML 3.2 or 4.01-loose, XML (various forms,
such as DocBook and the raw internal doctree), PDF, TeX,
plaintext, reStructuredText, and perhaps others.
See `Writers`_ above.
- Package "docutils.transforms": tree transform classes.
- Class "Transform" is the base class of specific transforms.
(``docutils/transforms/__init__.py``)
- Each module contains related transform classes.
See `Transforms`_ above.
- Package "docutils.languages": Language modules contain
language-dependent strings and mappings. They are named for their
language identifier (as defined in `Choice of Docstring Format`_
above), converting dashes to underscores.
- Function "get_language(language_code)", returns matching
language module. (``docutils/languages/__init__.py``)
- Module "docutils.languages.en" (English).
- Other languages to be added.
Front-End Tools
===============
See `Docutils Front-End Tools`_.
.. _Docutils Front-End Tools: http://docutils.sf.net/docs/tools.html
Document Tree
=============
A single intermediate data structure is used internally by Docutils,
in the interfaces between components; it is defined in the
docutils.nodes module. It is not required that this data structure be
used *internally* by any of the components, just *between* components.
Custom node types are allowed, provided that either (a) a transform
converts them to standard Docutils nodes before they reach the Writer
proper, or (b) the custom node is explicitly supported by certain
Writers, and is wrapped in a filtered "pending" node. An example of
condition A is the `Python Source Reader`_ (see below), where a
"stylist" transform converts custom nodes. The HTML ``<meta>`` tag is
an example of condition B; it is supported by the HTML Writer but not
by others. The reStructuredText "meta" directive creates a "pending"
node, which contains knowledge that the embedded "meta" node can only
be handled by HTML-compatible writers. The "pending" node is resolved
by the "transforms.components.Filter" transform, which checks that the
calling writer supports HTML; if it doesn't, the "meta" node is
removed from the document.
The document tree data structure is similar to a DOM tree, but with
specific node names (classes) instead of DOM's generic nodes. The
schema is documented in an XML DTD (eXtensible Markup Language
Document Type Definition), which comes in two parts:
- the Docutils Generic DTD, docutils.dtd_, and
- the OASIS Exchange Table Model, soextbl.dtd_.
The DTD defines a rich set of elements, suitable for many input and
output formats. The DTD retains all information necessary to
reconstruct the original input text, or a reasonable facsimile
thereof.
See `The Docutils Document Tree`_ for details (incomplete).
Error Handling
==============
When the parser encounters an error in markup, it inserts a system
message (DTD element "system_message"). There are five levels of
system messages:
- Level-0, "DEBUG": an internal reporting issue. There is no effect
on the processing. Level-0 system messages are handled separately
from the others.
- Level-1, "INFO": a minor issue that can be ignored. There is little
or no effect on the processing. Typically level-1 system messages
are not reported.
- Level-2, "WARNING": an issue that should be addressed. If ignored,
there may be minor problems with the output. Typically level-2
system messages are reported but do not halt processing
- Level-3, "ERROR": a major issue that should be addressed. If
ignored, the output will contain unpredictable errors. Typically
level-3 system messages are reported but do not halt processing
- Level-4, "SEVERE": a critical error that must be addressed.
Typically level-4 system messages are turned into exceptions which
halt processing. If ignored, the output will contain severe errors.
Although the initial message levels were devised independently, they
have a strong correspondence to `VMS error condition severity
levels`_; the names in quotes for levels 1 through 4 were borrowed
from VMS. Error handling has since been influenced by the `log4j
project`_.
Python Source Reader
====================
The Python Source Reader ("PySource") is the Docutils component that
reads Python source files, extracts docstrings in context, then
parses, links, and assembles the docstrings into a cohesive whole. It
is a major and non-trivial component, currently under experimental
development in the Docutils sandbox. High-level design issues are
presented here.
Processing Model
----------------
This model will evolve over time, incorporating experience and
discoveries.
1. The PySource Reader uses an I/O class to read in some Python
packages and modules, into a tree of strings.
2. The Python modules are parsed, converting the tree of strings into
a tree of abstract syntax trees.
3. The abstract syntax trees are converted into an internal
representation of the packages/modules. Docstrings are extracted,
as well as code structure details. See `AST Mining`_ below.
Namespaces are constructed for lookup in step 6.
4. One at a time, the docstrings are parsed, producing standard
Docutils doctrees.
5. PySource assembles all the individual docstrings' doctrees into a
Python-specific custom Docutils tree parallelling the
package/module/class structure; this is a custom Reader-specific
internal representation (see the `Docutils Python Source DTD`_).
Namespaces must be merged: Python identifiers, hyperlink targets.
6. Cross-references from docstrings (interpreted text) to Python
identifiers are resolved according to the Python namespace lookup
rules. See `Identifier Cross-References`_ below.
7. A "Stylist" transform is applied to the custom doctree, custom
nodes are rendered using standard nodes as primitives, and a
standard document tree is emitted. See `Stylist Transforms`_
below.
8. Other transforms are applied to the standard doctree.
9. The standard doctree is sent to a Writer, which translates the
document into a concrete format (HTML, PDF, etc.).
10. The Writer uses an I/O class to write the resulting data to its
destination (disk file, directories and files, etc.).
AST Mining
----------
Abstract Syntax Tree mining code will be written that scans a parsed
Python module, and returns an ordered tree containing the names,
docstrings (including attribute and additional docstrings; see below),
and additional info (in parentheses below) of all of the following
objects:
- packages
- modules
- module attributes (+ initial values)
- classes (+ inheritance)
- class attributes (+ initial values)
- instance attributes (+ initial values)
- methods (+ parameters & defaults)
- functions (+ parameters & defaults)
(Extract comments too? For example, comments at the start of a module
would be a good place for bibliographic field lists.)
In order to evaluate interpreted text cross-references, namespaces for
each of the above will also be required.
See python-dev/docstring-develop thread "AST mining", started on
2001-08-14.
Docstring Extraction Rules
--------------------------
1. What to examine:
a) If the "``__all__``" variable is present in the module being
documented, only identifiers listed in "``__all__``" are
examined for docstrings.
b) In the absense of "``__all__``", all identifiers are examined,
except those whose names are private (names begin with "_" but
don't begin and end with "__").
c) 1a and 1b can be overridden by a parameter or command-line
option.
2. Where:
Docstrings are string literal expressions, and are recognized in
the following places within Python modules:
a) At the beginning of a module, function definition, class
definition, or method definition, after any comments. This is
the standard for Python ``__doc__`` attributes.
b) Immediately following a simple assignment at the top level of a
module, class definition, or ``__init__`` method definition,
after any comments. See `Attribute Docstrings`_ below.
c) Additional string literals found immediately after the
docstrings in (a) and (b) will be recognized, extracted, and
concatenated. See `Additional Docstrings`_ below.
d) @@@ 2.2-style "properties" with attribute docstrings?
3. How:
Whenever possible, Python modules should be parsed by Docutils, not
imported. There are several reasons:
- Importing untrusted code is inherently insecure.
- Information from the source is lost when using introspection to
examine an imported module, such as comments and the order of
definitions.
- Docstrings are to be recognized in places where the bytecode
compiler ignores string literal expressions (2b and 2c above),
meaning importing the module will lose these docstrings.
Of course, standard Python parsing tools such as the "parser"
library module should be used.
When the Python source code for a module is not available
(i.e. only the ``.pyc`` file exists) or for C extension modules, to
access docstrings the module can only be imported, and any
limitations must be lived with.
Since attribute docstrings and additional docstrings are ignored by
the Python bytecode compiler, no namespace pollution or runtime bloat
will result from their use. They are not assigned to ``__doc__`` or
to any other attribute. The initial parsing of a module may take a
slight performance hit.
Attribute Docstrings
''''''''''''''''''''
(This is a simplified version of PEP 224 [#PEP-224]_.)
A string literal immediately following an assignment statement is
interpreted by the docstring extration machinery as the docstring of
the target of the assignment statement, under the following
conditions:
1. The assignment must be in one of the following contexts:
a) At the top level of a module (i.e., not nested inside a compound
statement such as a loop or conditional): a module attribute.
b) At the top level of a class definition: a class attribute.
c) At the top level of the "``__init__``" method definition of a
class: an instance attribute.
Since each of the above contexts are at the top level (i.e., in the
outermost suite of a definition), it may be necessary to place
dummy assignments for attributes assigned conditionally or in a
loop.
2. The assignment must be to a single target, not to a list or a tuple
of targets.
3. The form of the target:
a) For contexts 1a and 1b above, the target must be a simple
identifier (not a dotted identifier, a subscripted expression,
or a sliced expression).
b) For context 1c above, the target must be of the form
"``self.attrib``", where "``self``" matches the "``__init__``"
method's first parameter (the instance parameter) and "attrib"
is a simple indentifier as in 3a.
Blank lines may be used after attribute docstrings to emphasize the
connection between the assignment and the docstring.
Examples::
g = 'module attribute (module-global variable)'
"""This is g's docstring."""
class AClass:
c = 'class attribute'
"""This is AClass.c's docstring."""
def __init__(self):
self.i = 'instance attribute'
"""This is self.i's docstring."""
Additional Docstrings
'''''''''''''''''''''
(This idea was adapted from PEP 216 [#PEP-216]_.)
Many programmers would like to make extensive use of docstrings for
API documentation. However, docstrings do take up space in the
running program, so some of these programmers are reluctant to "bloat
up" their code. Also, not all API documentation is applicable to
interactive environments, where ``__doc__`` would be displayed.
The docstring processing system's extraction tools will concatenate
all string literal expressions which appear at the beginning of a
definition or after a simple assignment. Only the first strings in
definitions will be available as ``__doc__``, and can be used for
brief usage text suitable for interactive sessions; subsequent string
literals and all attribute docstrings are ignored by the Python
bytecode compiler and may contain more extensive API information.
Example::
def function(arg):
"""This is __doc__, function's docstring."""
"""
This is an additional docstring, ignored by the bytecode
compiler, but extracted by the Docutils.
"""
pass
.. topic:: Issue: ``from __future__ import``
This would break "``from __future__ import``" statements introduced
in Python 2.1 for multiple module docstrings (main docstring plus
additional docstring(s)). The Python Reference Manual specifies:
A future statement must appear near the top of the module. The
only lines that can appear before a future statement are:
* the module docstring (if any),
* comments,
* blank lines, and
* other future statements.
Resolution?
1. Should we search for docstrings after a ``__future__``
statement? Very ugly.
2. Redefine ``__future__`` statements to allow multiple preceeding
string literals?
3. Or should we not even worry about this? There probably
shouldn't be ``__future__`` statements in production code, after
all. Will modules with ``__future__`` statements simply have to
put up with the single-docstring limitation?
Choice of Docstring Format
--------------------------
Rather than force everyone to use a single docstring format, multiple
input formats are allowed by the processing system. A special
variable, ``__docformat__``, may appear at the top level of a module
before any function or class definitions. Over time or through
decree, a standard format or set of formats should emerge.
The ``__docformat__`` variable is a string containing the name of the
format being used, a case-insensitive string matching the input
parser's module or package name (i.e., the same name as required to
"import" the module or package), or a registered alias. If no
``__docformat__`` is specified, the default format is "plaintext" for
now; this may be changed to the standard format once determined.
The ``__docformat__`` string may contain an optional second field,
separated from the format name (first field) by a single space: a
case-insensitive language identifier as defined in RFC 1766. A
typical language identifier consists of a 2-letter language code from
`ISO 639`_ (3-letter codes used only if no 2-letter code exists; RFC
1766 is currently being revised to allow 3-letter codes). If no
language identifier is specified, the default is "en" for English.
The language identifier is passed to the parser and can be used for
language-dependent markup features.
Identifier Cross-References
---------------------------
In Python docstrings, interpreted text is used to classify and mark up
program identifiers, such as the names of variables, functions,
classes, and modules. If the identifier alone is given, its role is
inferred implicitly according to the Python namespace lookup rules.
For functions and methods (even when dynamically assigned),
parentheses ('()') may be included::
This function uses `another()` to do its work.
For class, instance and module attributes, dotted identifiers are used
when necessary. For example (using reStructuredText markup)::
class Keeper(Storer):
"""
Extend `Storer`. Class attribute `instances` keeps track
of the number of `Keeper` objects instantiated.
"""
instances = 0
"""How many `Keeper` objects are there?"""
def __init__(self):
"""
Extend `Storer.__init__()` to keep track of instances.
Keep count in `self.instances`, data in `self.data`.
"""
Storer.__init__(self)
self.instances += 1
self.data = []
"""Store data in a list, most recent last."""
def storedata(self, data):
"""
Extend `Storer.storedata()`; append new `data` to a
list (in `self.data`).
"""
self.data = data
Each of the identifiers quoted with backquotes ("`") will become
references to the definitions of the identifiers themselves.
Stylist Transforms
------------------
Stylist transforms are specialized transforms specific to a Reader.
The PySource Reader doesn't have to make any decisions as to style; it
just produces a logically constructed document tree, parsed and
linked, including custom node types. Stylist transforms understand
the custom nodes created by the Reader and convert them into standard
Docutils nodes.
Multiple Stylist transforms may be implemented and one can be chosen
at runtime (through a "--style" or "--stylist" command-line option).
Each Stylist transform implements a different layout or style; thus
the name. They decouple the context-understanding part of the Reader
from the layout-generating part of processing, resulting in a more
flexible and robust system. This also serves to "separate style from
content", the SGML/XML ideal.
By keeping the piece of code that does the styling small and modular,
it becomes much easier for people to roll their own styles. The
"barrier to entry" is too high with existing tools; extracting the
stylist code will lower the barrier considerably.
==========================
References and Footnotes
==========================
.. [#PEP-256] PEP 256, Docstring Processing System Framework, Goodger
(http://www.python.org/peps/pep-0256.html)
.. [#PEP-224] PEP 224, Attribute Docstrings, Lemburg
(http://www.python.org/peps/pep-0224.html)
.. [#PEP-216] PEP 216, Docstring Format, Zadka
(http://www.python.org/peps/pep-0216.html)
.. _docutils.dtd: http://docutils.sourceforge.net/spec/docutils.dtd
.. _soextbl.dtd: http://docutils.sourceforge.net/spec/soextblx.dtd
.. _The Docutils Document Tree:
http://docutils.sourceforge.net/spec/doctree.html
.. _VMS error condition severity levels:
http://www.openvms.compaq.com:8000/73final/5841/841pro_027.html
#error_cond_severity
.. _log4j project: http://jakarta.apache.org/log4j/
.. _Docutils Python Source DTD:
http://docutils.sourceforge.net/spec/pysource.dtd
.. _ISO 639: http://lcweb.loc.gov/standards/iso639-2/englangn.html
.. _Python Doc-SIG: http://www.python.org/sigs/doc-sig/
==================
Project Web Site
==================
A SourceForge project has been set up for this work at
http://docutils.sourceforge.net/.
===========
Copyright
===========
This document has been placed in the public domain.
==================
Acknowledgements
==================
This document borrows ideas from the archives of the `Python
Doc-SIG`_. Thanks to all members past & present.
..
Local Variables:
mode: indented-text
indent-tabs-mode: nil
sentence-end-double-space: t
fill-column: 70
End:
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