本文整理汇总了Python中docutils.utils.clean_rcs_keywords方法的典型用法代码示例。如果您正苦于以下问题：Python utils.clean_rcs_keywords方法的具体用法？Python utils.clean_rcs_keywords怎么用？Python utils.clean_rcs_keywords使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类docutils.utils的用法示例。
在下文中一共展示了utils.clean_rcs_keywords方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: extract_bibliographic
# 需要导入模块: from docutils import utils [as 别名]
# 或者: from docutils.utils import clean_rcs_keywords [as 别名]
def extract_bibliographic(self, field_list):
docinfo = nodes.docinfo()
bibliofields = self.language.bibliographic_fields
labels = self.language.labels
topics = {'dedication': None, 'abstract': None}
for field in field_list:
try:
name = field[0][0].astext()
normedname = nodes.make_id(name)
if not (len(field) == 2 and normedname in bibliofields
and self.check_empty_biblio_field(field, name)):
raise TransformError
canonical = bibliofields[normedname]
biblioclass = self.biblio_nodes[canonical]
if issubclass(biblioclass, nodes.TextElement):
if not self.check_compound_biblio_field(field, name):
raise TransformError
utils.clean_rcs_keywords(
field[1][0], self.rcs_keyword_substitutions)
docinfo.append(biblioclass('', '', *field[1][0]))
elif issubclass(biblioclass, nodes.authors):
self.extract_authors(field, name, docinfo)
elif issubclass(biblioclass, nodes.topic):
if topics[canonical]:
field[-1] += self.document.reporter.warning(
'There can only be one "%s" field.' % name,
base_node=field)
raise TransformError
title = nodes.title(name, labels[canonical])
topics[canonical] = biblioclass(
'', title, classes=[canonical], *field[1].children)
else:
docinfo.append(biblioclass('', *field[1].children))
except TransformError:
if len(field[-1]) == 1 \
and isinstance(field[-1][0], nodes.paragraph):
utils.clean_rcs_keywords(
field[-1][0], self.rcs_keyword_substitutions)
if normedname and normedname not in bibliofields:
field['classes'].append(normedname)
docinfo.append(field)
nodelist = []
if len(docinfo) != 0:
nodelist.append(docinfo)
for name in ('dedication', 'abstract'):
if topics[name]:
nodelist.append(topics[name])
return nodelist 示例2: extract_bibliographic
# 需要导入模块: from docutils import utils [as 别名]
# 或者: from docutils.utils import clean_rcs_keywords [as 别名]
def extract_bibliographic(self, field_list):
docinfo = nodes.docinfo()
bibliofields = self.language.bibliographic_fields
labels = self.language.labels
topics = {'dedication': None, 'abstract': None}
for field in field_list:
try:
name = field[0][0].astext()
normedname = nodes.fully_normalize_name(name)
if not (len(field) == 2 and normedname in bibliofields
and self.check_empty_biblio_field(field, name)):
raise TransformError
canonical = bibliofields[normedname]
biblioclass = self.biblio_nodes[canonical]
if issubclass(biblioclass, nodes.TextElement):
if not self.check_compound_biblio_field(field, name):
raise TransformError
utils.clean_rcs_keywords(
field[1][0], self.rcs_keyword_substitutions)
docinfo.append(biblioclass('', '', *field[1][0]))
elif issubclass(biblioclass, nodes.authors):
self.extract_authors(field, name, docinfo)
elif issubclass(biblioclass, nodes.topic):
if topics[canonical]:
field[-1] += self.document.reporter.warning(
'There can only be one "%s" field.' % name,
base_node=field)
raise TransformError
title = nodes.title(name, labels[canonical])
topics[canonical] = biblioclass(
'', title, classes=[canonical], *field[1].children)
else:
docinfo.append(biblioclass('', *field[1].children))
except TransformError:
if len(field[-1]) == 1 \
and isinstance(field[-1][0], nodes.paragraph):
utils.clean_rcs_keywords(
field[-1][0], self.rcs_keyword_substitutions)
if normedname not in bibliofields:
classvalue = nodes.make_id(normedname)
if classvalue:
field['classes'].append(classvalue)
docinfo.append(field)
nodelist = []
if len(docinfo) != 0:
nodelist.append(docinfo)
for name in ('dedication', 'abstract'):
if topics[name]:
nodelist.append(topics[name])
return nodelist 示例3: extract_bibliographic
# 需要导入模块: from docutils import utils [as 别名]
# 或者: from docutils.utils import clean_rcs_keywords [as 别名]
def extract_bibliographic(self, field_list):
docinfo = nodes.docinfo()
bibliofields = self.language.bibliographic_fields
labels = self.language.labels
topics = {'dedication': None, 'abstract': None}
for field in field_list:
try:
name = field[0][0].astext()
normedname = nodes.fully_normalize_name(name)
if not (len(field) == 2 and normedname in bibliofields
and self.check_empty_biblio_field(field, name)):
raise TransformError
canonical = bibliofields[normedname]
biblioclass = self.biblio_nodes[canonical]
if issubclass(biblioclass, nodes.TextElement):
if not self.check_compound_biblio_field(field, name):
raise TransformError
utils.clean_rcs_keywords(
field[1][0], self.rcs_keyword_substitutions)
docinfo.append(biblioclass('', '', *field[1][0]))
elif issubclass(biblioclass, nodes.authors):
self.extract_authors(field, name, docinfo)
elif issubclass(biblioclass, nodes.topic):
if topics[canonical]:
field[-1] += self.document.reporter.warning(
'There can only be one "%s" field.' % name,
base_node=field)
raise TransformError
title = nodes.title(name, labels[canonical])
title[0].rawsource = labels[canonical]
topics[canonical] = biblioclass(
'', title, classes=[canonical], *field[1].children)
else:
docinfo.append(biblioclass('', *field[1].children))
except TransformError:
if len(field[-1]) == 1 \
and isinstance(field[-1][0], nodes.paragraph):
utils.clean_rcs_keywords(
field[-1][0], self.rcs_keyword_substitutions)
# if normedname not in bibliofields:
classvalue = nodes.make_id(normedname)
if classvalue:
field['classes'].append(classvalue)
docinfo.append(field)
nodelist = []
if len(docinfo) != 0:
nodelist.append(docinfo)
for name in ('dedication', 'abstract'):
if topics[name]:
nodelist.append(topics[name])
return nodelist