Python citations.internal_citations函数代码示例

def is_child_of(child_xml, header_xml):
    """Children are paragraphs, have lower 'source' or the header has
    citations and the child does not"""
    return (child_xml.tag != 'HD'
            or child_xml.get('SOURCE') > header_xml.get('SOURCE')
            or (internal_citations(header_xml.text, Label())
                and not internal_citations(child_xml.text, Label())))

 def test_section_ref_in_appendix(self):
     text = u"""(a) Something something § 1005.7(b)(1)."""
     citations = internal_citations(
         text, Label(part='1005', appendix='A', appendix_section='2',
                     p1='a'))
     self.assertEqual(citations[0].label.to_list(),
                      ['1005', '7', 'b', '1'])

    def scope_of_text(self, text, label_struct, verify_prefix=True):
        """Given specific text, try to determine the definition scope it
        indicates. Implicit return None if none is found."""
        scopes = []
        #   First, make a list of potential scope indicators
        citations = internal_citations(text, label_struct,
                                       require_marker=True)
        indicators = [(c.full_start, c.label.to_list()) for c in citations]
        text = text.lower()
        label_list = label_struct.to_list()
        indicators.extend((m.start(), label_list[:1])
                          for m in Terms.part_re.finditer(text))
        indicators.extend((m.start(), label_list[:2])
                          for m in Terms.sect_re.finditer(text))
        indicators.extend((m.start(), label_list)
                          for m in Terms.par_re.finditer(text))
        #   Subpart's a bit more complicated, as it gets expanded into a
        #   list of sections
        for match in Terms.subpart_re.finditer(text):
            indicators.extend(
                (match.start(), subpart_label)
                for subpart_label in self.subpart_scope(label_list))

        #   Finally, add the scope if we verify its prefix
        for start, label in indicators:
            if not verify_prefix or Terms.scope_re.match(text[:start]):
                scopes.append(label)
            elif Terms.scope_used_re.match(text[:start]):
                scopes.append(label)

        #   Add interpretation to scopes
        scopes = scopes + [s + [struct.Node.INTERP_MARK] for s in scopes]
        if scopes:
            return [tuple(s) for s in scopes]

def segment_tree(text, part, parent_label):
    """Build a tree representing the interpretation of a section, paragraph,
    or appendix."""
    title, body = utils.title_body(text)
    exclude = [(pc.full_start, pc.full_end) for pc in
               internal_citations(body, Label(part=parent_label[0]))]

    label = merge_labels(text_to_labels(title, Label(part=part, comment=True)))
    return interpParser.build_tree(body, 1, exclude, label, title)

 def test_single_match_multiple_paragraphs4(self):
     text = "Listing sections 11.55(d) and 321.11 (h)(4)"
     citations = internal_citations(text, Label(part='222', section='5'))
     self.assertEqual(2, len(citations))
     citation = citations[0]
     self.assertEqual(['11', '55', 'd'], citation.label.to_list())
     self.assertEqual(to_text(citation, text), '11.55(d)')
     citation = citations[1]
     self.assertEqual(['321', '11', 'h', '4'], citation.label.to_list())
     self.assertEqual(to_text(citation, text), '321.11 (h)(4)')

def add_spaces_to_title(title):
    """Federal Register often seems to miss spaces in the title of SxS
    sections. Make sure spaces get added if appropriate"""
    for citation in internal_citations(title, Label()):
        end = citation.end
        # Next char is an alpha and last char isn't a space
        if end < len(title) and title[end].isalpha() and title[end-1] != ' ':
            title = title[:end] + ' ' + title[end:]
            break   # Assumes there is only one paragraph in a title
    return title

def parse_into_labels(txt, part):
    """Find what part+section+(paragraph) (could be multiple) this text is
    related to."""
    citations = internal_citations(txt, Label(part=part))
    # odd corner case: headers shouldn't include both an appendix and regtext
    labels = [c.label for c in citations]
    if any('appendix' in l.settings for l in labels):
        labels = [l for l in labels if 'appendix' in l.settings]
    labels = ['-'.join(l.to_list()) for l in labels]
    return labels

    def test_single_match_multiple_paragraphs2(self):
        text = u'§ 1005.10(a) and (d)'
        citations = internal_citations(text, Label(part='222', section='5'))
        self.assertEqual(2, len(citations))
        citation = citations[0]
        self.assertEqual(['1005', '10', 'a'], citation.label.to_list())
        self.assertEqual(to_text(citation, text), '1005.10(a)')
        citation = citations[1]
        self.assertEqual(['1005', '10', 'd'], citation.label.to_list())
        self.assertEqual(to_text(citation, text), '(d)')

        text = u'§ 1005.7(b)(1), (2) and (3)'
        citations = internal_citations(text, Label(part='222', section='5'))
        self.assertEqual(3, len(citations))
        self.assertEqual(['1005', '7', 'b', '1'],
                         citations[0].label.to_list())
        self.assertEqual(['1005', '7', 'b', '2'],
                         citations[1].label.to_list())
        self.assertEqual(['1005', '7', 'b', '3'],
                         citations[2].label.to_list())

        text = u'§ 1005.15(d)(1)(i) and (ii)'
        citations = internal_citations(text, Label(part='222', section='5'))
        self.assertEqual(2, len(citations))
        self.assertEqual(['1005', '15', 'd', '1', 'i'],
                         citations[0].label.to_list())
        self.assertEqual(['1005', '15', 'd', '1', 'ii'],
                         citations[1].label.to_list())

        text = u'§ 1005.9(a)(5) (i), (ii), or (iii)'
        citations = internal_citations(text, Label(part='222', section='5'))
        self.assertEqual(3, len(citations))
        self.assertEqual(['1005', '9', 'a', '5', 'i'],
                         citations[0].label.to_list())
        self.assertEqual(['1005', '9', 'a', '5', 'ii'],
                         citations[1].label.to_list())
        self.assertEqual(['1005', '9', 'a', '5', 'iii'],
                         citations[2].label.to_list())

        text = u'§ 1005.11(a)(1)(vi) or (vii).'
        citations = internal_citations(text, Label(part='222', section='5'))
        self.assertEqual(2, len(citations))
        self.assertEqual(['1005', '11', 'a', '1', 'vi'],
                         citations[0].label.to_list())
        self.assertEqual(['1005', '11', 'a', '1', 'vii'],
                         citations[1].label.to_list())

        text = u'§§ 1005.3(b)(2) and (3), 1005.10(b), (d), and (e), 1005.13, '
        text += 'and 1005.20'
        citations = internal_citations(text, Label(part='222', section='5'))
        self.assertEqual(7, len(citations))

        text = 'Sections 1005.3, .4, and .5'
        citations = internal_citations(text, Label(part='222', section='5'))
        self.assertEqual(3, len(citations))
        self.assertEqual(['1005', '3'], citations[0].label.to_list())
        self.assertEqual(['1005', '4'], citations[1].label.to_list())
        self.assertEqual(['1005', '5'], citations[2].label.to_list())

def generate_keyterm(node):
    label_id = node.label_id()
    if label_id in real_key_terms_layer:
        layer[label_id] = real_key_terms_layer[label_id]
    else:
        node_text = key_terms.KeyTerms.process_node_text(node)
        if not node_text:
            return

        # Our Appendix parsing isn't particularly accurate -- avoid keyterms
        if node.node_type == struct.Node.APPENDIX:
            return

        exclude = [(start, end) for _, start, end in
                   exclude_parser.scanString(node_text)]
        exclude.extend((pc.full_start, pc.full_end) for pc in
                       internal_citations(node_text, Label()))

        periods = [m.start() for m in period.finditer(node_text)]
        # Remove any periods which are part of a citation
        periods = filter(lambda p: all(p < start or p > end
                                       for start, end in exclude), periods)

        # Key terms must either have a full "sentence" or end with a hyphen
        if not periods and node_text[-1] != u'—':
            return

        if periods:
            first_p = periods[0]
            # Check for cases where the period is "inside" something;
            # include the period
            next_char = node_text[first_p + 1: first_p + 2]
            if next_char in (')', u'”'):
                first_sentence = node_text[:first_p + 2]
            else:
                first_sentence = node_text[:first_p + 1]
        else:
            first_sentence = node_text

        # Key terms can't be the entire text of a leaf node
        if first_sentence == node_text and not node.children:
            return

        words = first_sentence.split()
        if (not words[-1] == part_end and
                not first_sentence.startswith('![')):
            num_words = len(words)

            # key terms are short
            if num_words <= 15:
                layer_element = {
                    "key_term": first_sentence,
                    "locations": [0]
                }
                layer[label_id] = [layer_element]

def is_child_of(child_xml, header_xml, header_citations=None):
    """Children are paragraphs, have lower 'source', the header has
    citations and the child does not, the citations for header and child
    are the same or the citation in a child is incorrect"""
    if child_xml.tag != 'HD':
        return True
    else:
        if header_citations is None:
            header_citations = [c.label for c in
                                internal_citations(header_xml.text, Label())]
        child_citations = [c.label for c in
                           internal_citations(child_xml.text, Label())]
        if (child_xml.get('SOURCE') > header_xml.get('SOURCE')
                or (header_citations and not child_citations)
                or (header_citations and header_citations == child_citations)):
            return True
        elif header_citations and child_citations:
            return is_backtrack(header_citations[-1].to_list(),
                                child_citations[0].to_list())
        else:
            return False

def build_section_tree(text, part):
    """Construct the tree for a whole section. Assumes the section starts
    with an identifier"""
    title, text = utils.title_body(text)

    exclude = [(pc.full_start, pc.full_end) for pc in
               internal_citations(text, Label(part=part))]
    section = re.search(r'%d\.(\d+)\b' % part, title).group(1)
    label = [str(part), section]
    p_tree = regParser.build_tree(
        text, exclude=exclude, label=label, title=title)
    return p_tree

 def test_single_match_multiple_paragraphs5(self):
     text = "See, e.g., comments 31(b)(1)(iv)-1 and 31(b)(1)(vi)-1"
     citations = internal_citations(text, Label(part='222', section='5'))
     self.assertEqual(2, len(citations))
     citation = citations[0]
     self.assertEqual(['222', '31', 'b', '1', 'iv', 'Interp', '1'],
                      citation.label.to_list())
     self.assertEqual(to_text(citation, text), '31(b)(1)(iv)-1')
     citation = citations[1]
     self.assertEqual(['222', '31', 'b', '1', 'vi', 'Interp', '1'],
                      citation.label.to_list())
     self.assertEqual(to_text(citation, text), '31(b)(1)(vi)-1')

 def test_single_match_multiple_paragraphs6(self):
     text = "comments 5(b)(3)-1 through -3"
     citations = internal_citations(text, Label(part='100', section='5'))
     citation = citations[0]
     self.assertEqual(2, len(citations))
     self.assertEqual(['100', '5', 'b', '3', 'Interp', '1'],
                      citation.label.to_list())
     self.assertEqual(to_text(citation, text), '5(b)(3)-1')
     citation = citations[1]
     self.assertEqual(['100', '5', 'b', '3', 'Interp', '3'],
                      citation.label.to_list())
     self.assertEqual(to_text(citation, text), '-3')

    def test_multiple_matches(self):
        text = "Please see A-5 and Q-2(r) and Z-12(g)(2)(ii) then more text"
        citations = internal_citations(text, Label(part='102', section='1'))
        self.assertEqual(3, len(citations))
        citation = citations[0]
        self.assertEqual(citation.label.to_list(), ['102', 'A', '5'])
        self.assertEqual(to_text(citation, text), 'A-5')
        citation = citations[1]
        self.assertEqual(citation.label.to_list(), ['102', 'Q', '2(r)'])
        self.assertEqual(to_text(citation, text), 'Q-2(r)')
        citation = citations[2]
        self.assertEqual(citation.label.to_list(),
                         ['102', 'Z', '12(g)(2)(ii)'])
        self.assertEqual(to_text(citation, text), 'Z-12(g)(2)(ii)')

        text = u"Appendices G and H—Yadda yadda"
        citations = internal_citations(text, Label(part='102'))
        self.assertEqual(2, len(citations))
        citG, citH = citations
        self.assertEqual(citG.label.to_list(), ['102', 'G'])
        self.assertEqual(citH.label.to_list(), ['102', 'H'])

    def parse(self, text, label):
        """ Parse the provided text, pulling out all the internal
        (self-referential) citations. """

        to_layer = lambda pc: {'offsets': [(pc.start, pc.end)],
                               'citation': pc.label.to_list()}
        citations = internal_citations(text, label, require_marker=True)
        if self.verify_citations:
            citations = self.remove_missing_citations(citations, text)
        all_citations = list(map(to_layer, citations))

        return self.strip_whitespace(text, all_citations)