Python docutils.nodes 模块,classifier() 实例源码

我们从Python开源项目中,提取了以下19个代码示例,用于说明如何使用docutils.nodes.classifier()

项目:aws-cfn-plex    作者:lordmuffin    | 项目源码 | 文件源码
def term(self, lines, lineno):
        """Return a definition_list's term and optional classifiers."""
        assert len(lines) == 1
        text_nodes, messages = self.inline_text(lines[0], lineno)
        term_node = nodes.term()
        (term_node.source,
         term_node.line) = self.state_machine.get_source_and_line(lineno)
        term_node.rawsource = unescape(lines[0])
        node_list = [term_node]
        for i in range(len(text_nodes)):
            node = text_nodes[i]
            if isinstance(node, nodes.Text):
                parts = self.classifier_delimiter.split(node.rawsource)
                if len(parts) == 1:
                    node_list[-1] += node
                else:

                    node_list[-1] += nodes.Text(parts[0].rstrip())
                    for part in parts[1:]:
                        classifier_node = nodes.classifier('', part)
                        node_list.append(classifier_node)
            else:
                node_list[-1] += node
        return node_list, messages
项目:AshsSDK    作者:thehappydinoa    | 项目源码 | 文件源码
def term(self, lines, lineno):
        """Return a definition_list's term and optional classifiers."""
        assert len(lines) == 1
        text_nodes, messages = self.inline_text(lines[0], lineno)
        term_node = nodes.term()
        (term_node.source,
         term_node.line) = self.state_machine.get_source_and_line(lineno)
        term_node.rawsource = unescape(lines[0])
        node_list = [term_node]
        for i in range(len(text_nodes)):
            node = text_nodes[i]
            if isinstance(node, nodes.Text):
                parts = self.classifier_delimiter.split(node.rawsource)
                if len(parts) == 1:
                    node_list[-1] += node
                else:

                    node_list[-1] += nodes.Text(parts[0].rstrip())
                    for part in parts[1:]:
                        classifier_node = nodes.classifier('', part)
                        node_list.append(classifier_node)
            else:
                node_list[-1] += node
        return node_list, messages
项目:chalktalk_docs    作者:loremIpsum1771    | 项目源码 | 文件源码
def term(self, lines, lineno):
        """Return a definition_list's term and optional classifiers."""
        assert len(lines) == 1
        text_nodes, messages = self.inline_text(lines[0], lineno)
        term_node = nodes.term()
        (term_node.source,
         term_node.line) = self.state_machine.get_source_and_line(lineno)
        term_node.rawsource = unescape(lines[0])
        node_list = [term_node]
        for i in range(len(text_nodes)):
            node = text_nodes[i]
            if isinstance(node, nodes.Text):
                parts = self.classifier_delimiter.split(node.rawsource)
                if len(parts) == 1:
                    node_list[-1] += node
                else:

                    node_list[-1] += nodes.Text(parts[0].rstrip())
                    for part in parts[1:]:
                        classifier_node = nodes.classifier('', part)
                        node_list.append(classifier_node)
            else:
                node_list[-1] += node
        return node_list, messages
项目:blackmamba    作者:zrzka    | 项目源码 | 文件源码
def term(self, lines, lineno):
        """Return a definition_list's term and optional classifiers."""
        assert len(lines) == 1
        text_nodes, messages = self.inline_text(lines[0], lineno)
        term_node = nodes.term()
        (term_node.source,
         term_node.line) = self.state_machine.get_source_and_line(lineno)
        term_node.rawsource = unescape(lines[0])
        node_list = [term_node]
        for i in range(len(text_nodes)):
            node = text_nodes[i]
            if isinstance(node, nodes.Text):
                parts = self.classifier_delimiter.split(node.rawsource)
                if len(parts) == 1:
                    node_list[-1] += node
                else:

                    node_list[-1] += nodes.Text(parts[0].rstrip())
                    for part in parts[1:]:
                        classifier_node = nodes.classifier('', part)
                        node_list.append(classifier_node)
            else:
                node_list[-1] += node
        return node_list, messages
项目:RST-vscode    作者:tht13    | 项目源码 | 文件源码
def term(self, lines, lineno):
        """Return a definition_list's term and optional classifiers."""
        assert len(lines) == 1
        text_nodes, messages = self.inline_text(lines[0], lineno)
        term_node = nodes.term()
        (term_node.source,
         term_node.line) = self.state_machine.get_source_and_line(lineno)
        term_node.rawsource = unescape(lines[0])
        node_list = [term_node]
        for i in range(len(text_nodes)):
            node = text_nodes[i]
            if isinstance(node, nodes.Text):
                parts = self.classifier_delimiter.split(node.rawsource)
                if len(parts) == 1:
                    node_list[-1] += node
                else:

                    node_list[-1] += nodes.Text(parts[0].rstrip())
                    for part in parts[1:]:
                        classifier_node = nodes.classifier('', part)
                        node_list.append(classifier_node)
            else:
                node_list[-1] += node
        return node_list, messages
项目:tf_aws_ecs_instance_draining_on_scale_in    作者:terraform-community-modules    | 项目源码 | 文件源码
def term(self, lines, lineno):
        """Return a definition_list's term and optional classifiers."""
        assert len(lines) == 1
        text_nodes, messages = self.inline_text(lines[0], lineno)
        term_node = nodes.term()
        (term_node.source,
         term_node.line) = self.state_machine.get_source_and_line(lineno)
        term_node.rawsource = unescape(lines[0])
        node_list = [term_node]
        for i in range(len(text_nodes)):
            node = text_nodes[i]
            if isinstance(node, nodes.Text):
                parts = self.classifier_delimiter.split(node.rawsource)
                if len(parts) == 1:
                    node_list[-1] += node
                else:

                    node_list[-1] += nodes.Text(parts[0].rstrip())
                    for part in parts[1:]:
                        classifier_node = nodes.classifier('', part)
                        node_list.append(classifier_node)
            else:
                node_list[-1] += node
        return node_list, messages
项目:aws-cfn-plex    作者:lordmuffin    | 项目源码 | 文件源码
def visit_definition_list_item(self, node):
        self._li_has_classifier = len(node) >= 2 and \
                                  isinstance(node[1], nodes.classifier)
项目:AshsSDK    作者:thehappydinoa    | 项目源码 | 文件源码
def visit_definition_list_item(self, node):
        self._li_has_classifier = len(node) >= 2 and \
                                  isinstance(node[1], nodes.classifier)
项目:aws-ec2rescue-linux    作者:awslabs    | 项目源码 | 文件源码
def visit_definition_list_item(self, node):
        self._li_has_classifier = len(node) >= 2 and \
                                  isinstance(node[1], nodes.classifier)
项目:chalktalk_docs    作者:loremIpsum1771    | 项目源码 | 文件源码
def apply_source_workaround(node):
    # workaround: nodes.term have wrong rawsource if classifier is specified.
    # The behavior of docutils-0.11, 0.12 is:
    # * when ``term text : classifier1 : classifier2`` is specified,
    # * rawsource of term node will have: ``term text : classifier1 : classifier2``
    # * rawsource of classifier node will be None
    if isinstance(node, nodes.classifier) and not node.rawsource:
        definition_list_item = node.parent
        node.source = definition_list_item.source
        node.line = definition_list_item.line - 1
        node.rawsource = node.astext()  # set 'classifier1' (or 'classifier2')
    if isinstance(node, nodes.term):
        # strip classifier from rawsource of term
        for classifier in reversed(node.parent.traverse(nodes.classifier)):
            node.rawsource = re.sub(
                '\s*:\s*%s' % re.escape(classifier.astext()), '', node.rawsource)

    # workaround: recommonmark-0.2.0 doesn't set rawsource attribute
    if not node.rawsource:
        node.rawsource = node.astext()

    if node.source and node.rawsource:
        return

    # workaround: docutils-0.10.0 or older's nodes.caption for nodes.figure
    # and nodes.title for nodes.admonition doesn't have source, line.
    # this issue was filed to Docutils tracker:
    # sf.net/tracker/?func=detail&aid=3599485&group_id=38414&atid=422032
    # sourceforge.net/p/docutils/patches/108/
    if (isinstance(node, (
            nodes.caption,
            nodes.title,
            nodes.rubric,
            nodes.line,
    ))):
        node.source = find_source_node(node)
        node.line = 0  # need fix docutils to get `node.line`
        return
项目:chalktalk_docs    作者:loremIpsum1771    | 项目源码 | 文件源码
def visit_definition_list_item(self, node):
        self._classifier_count_in_li = len(node.traverse(nodes.classifier))
项目:package-manager    作者:bro    | 项目源码 | 文件源码
def map_nested_definitions(nested_content):
    if nested_content is None:
        raise Exception('Nested content should be iterable, not null')
    # build definition dictionary
    definitions = {}
    for item in nested_content:
        if not isinstance(item, nodes.definition_list):
            continue
        for subitem in item:
            if not isinstance(subitem, nodes.definition_list_item):
                continue
            if not len(subitem.children) > 0:
                continue
            classifier = '@after'
            idx = subitem.first_child_matching_class(nodes.classifier)
            if idx is not None:
                ci = subitem[idx]
                if len(ci.children) > 0:
                    classifier = ci.children[0].astext()
            if classifier is not None and classifier not in (
                    '@replace', '@before', '@after'):
                raise Exception('Unknown classifier: %s' % classifier)
            idx = subitem.first_child_matching_class(nodes.term)
            if idx is not None:
                ch = subitem[idx]
                if len(ch.children) > 0:
                    term = ch.children[0].astext()
                    idx = subitem.first_child_matching_class(nodes.definition)
                    if idx is not None:
                        def_node = subitem[idx]
                        def_node.attributes['classifier'] = classifier
                        definitions[term] = def_node
    return definitions
项目:package-manager    作者:bro    | 项目源码 | 文件源码
def apply_definition(definitions, my_def, name):
    if name in definitions:
        definition = definitions[name]
        classifier = definition['classifier']
        if classifier == '@replace':
            return definition.children
        if classifier == '@after':
            return my_def + definition.children
        if classifier == '@before':
            return definition.children + my_def
        raise Exception('Unknown classifier: %s' % classifier)
    return my_def
项目:kscore    作者:liuyichen    | 项目源码 | 文件源码
def visit_definition_list_item(self, node):
        self._li_has_classifier = len(node) >= 2 and \
                                  isinstance(node[1], nodes.classifier)
项目:qsctl    作者:yunify    | 项目源码 | 文件源码
def visit_definition_list_item(self, node):
        self._li_has_classifier = len(node) >= 2 and \
                                  isinstance(node[1], nodes.classifier)
项目:jepsen-training-vpc    作者:bloomberg    | 项目源码 | 文件源码
def visit_definition_list_item(self, node):
        self._li_has_classifier = len(node) >= 2 and \
                                  isinstance(node[1], nodes.classifier)
项目:AWS-AutoTag    作者:cpollard0    | 项目源码 | 文件源码
def visit_definition_list_item(self, node):
        self._li_has_classifier = len(node) >= 2 and \
                                  isinstance(node[1], nodes.classifier)
项目:tf_aws_ecs_instance_draining_on_scale_in    作者:terraform-community-modules    | 项目源码 | 文件源码
def visit_definition_list_item(self, node):
        self._li_has_classifier = len(node) >= 2 and \
                                  isinstance(node[1], nodes.classifier)
项目:linotype    作者:lostatc    | 项目源码 | 文件源码
def _parse_definition_list(
        def_list_node: nodes.definition_list) -> ExtraContentDict:
    """Parse a definition list inside the directive.

    Args:
        def_list_node: A definition list node containing definitions for
            extending the Sphinx output.

    Raises:
        ValueError: The given classifier was unrecognized.

    Returns:

        A dict where keys are item IDs and values contain the classifiers
        and the content as lists of docutils nodes.
    """
    definitions = collections.defaultdict(lambda: None)
    for node in def_list_node:
        if not isinstance(node, nodes.definition_list_item):
            continue

        term = _get_matching_child(node, nodes.term, last=False).astext()

        classifiers = set()
        for child_node in node.children:
            if not isinstance(child_node, nodes.classifier):
                continue

            classifier = child_node.astext()

            if classifier not in ALL_CLASSIFIERS:
                raise ValueError("unknown classifier '{0}'".format(classifier))

            classifiers.add(classifier)

        if not classifiers & CONTENT_CLASSIFIERS:
            classifiers.add("@after")
        if not classifiers & MARKUP_CLASSIFIERS:
            classifiers.add("@auto")

        content = _get_matching_child(
            node, nodes.definition, last=False).children

        if not definitions[term]:
            definitions[term] = []

        definitions[term].append(ExtraContent(classifiers, content))

    return definitions