コード例 #1
0
 def summarize(self):
     summary = {
         'stmt_types':
         [statement_base_verb(v) for v in self.get_stmt_types()],
         'query_subj': self.query.subj,
         'query_obj': self.query.obj
     }
     return summary
コード例 #2
0
 def summarize(self):
     if self.query.stmt_type:
         stmt_type = statement_base_verb(self.query.stmt_type.lower())
     else:
         stmt_type = None
     summary = {'stmt_type': stmt_type,
                'query_subj': self.query.subj,
                'other_agents': self.get_other_agents([self.query.subj],
                                                      other_role='object')}
     return summary
コード例 #3
0
ファイル: queries.py プロジェクト: johnbachman/emmaa
 def to_english(self):
     agent = _assemble_agent_str(self.entity).agent_str
     if self.entity_role == 'subject':
         verb = statement_base_verb(self.stmt_type.lower())
         verb = verb[0].lower() + verb[1:]
         sentence = f'What does {agent} {verb}?'
     elif self.entity_role == 'object':
         verb = statement_present_verb(self.stmt_type.lower())
         verb = verb[0].lower() + verb[1:]
         sentence = f'What {verb} {agent}?'
     sentence = sentence[0].upper() + sentence[1:]
     if self.terminal_ns:
         sentence += f' ({", ".join(self.terminal_ns).upper()})'
     return sentence
コード例 #4
0
def _build_verb_map():
    # We first get all statement types
    stmts = get_all_descendants(Statement)
    verb_map = {}
    # These are statement types that aren't binary and therefore don't need
    # to be included in the verb map
    non_binary = ('hasactivity', 'activeform', 'selfmodification',
                  'autophosphorylation', 'transphosphorylation', 'event',
                  'unresolved', 'association', 'complex')
    for stmt in stmts:
        # Get the class name
        name = stmt.__name__
        if name.lower() in non_binary:
            continue
        # Get the base verb form of the statement, e.g., "phosphorylate"
        base_verb = statement_base_verb(name.lower())
        verb_map[base_verb] = {'stmt': name, 'type': 'base'}
        # Get the present form of the statement, e.g., "inhibits"
        present_verb = statement_present_verb(name.lower())
        verb_map[present_verb] = {'stmt': name, 'type': 'present'}
        # Get the passive / state form of the statement, e.g., "activated"
        passive_verb = statement_passive_verb(name.lower())
        verb_map[passive_verb] = {'stmt': name, 'type': 'passive'}
    return verb_map
コード例 #5
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def test_get_base_verb():
    assert ea.statement_base_verb('inhibition') == 'inhibit'
    assert ea.statement_base_verb('dephosphorylation') == 'dephosphorylate'
    assert ea.statement_base_verb('complex') == 'bind'