This is the repository for the online module Bots as Digital Infrapuncture, commissioned by the Utrecht University
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# $Id: pep.py 7320 2012-01-19 22:33:02Z milde $
# Author: David Goodger <goodger@python.org>
# Copyright: This module has been placed in the public domain.
"""
Python Enhancement Proposal (PEP) Reader.
"""
__docformat__ = 'reStructuredText'
from docutils.readers import standalone
from docutils.transforms import peps, references, misc, frontmatter
from docutils.parsers import rst
class Reader(standalone.Reader):
supported = ('pep',)
"""Contexts this reader supports."""
settings_spec = (
'PEP Reader Option Defaults',
'The --pep-references and --rfc-references options (for the '
'reStructuredText parser) are on by default.',
())
config_section = 'pep reader'
config_section_dependencies = ('readers', 'standalone reader')
def get_transforms(self):
transforms = standalone.Reader.get_transforms(self)
# We have PEP-specific frontmatter handling.
transforms.remove(frontmatter.DocTitle)
transforms.remove(frontmatter.SectionSubTitle)
transforms.remove(frontmatter.DocInfo)
transforms.extend([peps.Headers, peps.Contents, peps.TargetNotes])
return transforms
settings_default_overrides = {'pep_references': 1, 'rfc_references': 1}
inliner_class = rst.states.Inliner
def __init__(self, parser=None, parser_name=None):
"""`parser` should be ``None``."""
if parser is None:
parser = rst.Parser(rfc2822=True, inliner=self.inliner_class())
standalone.Reader.__init__(self, parser, '')