本文整理汇总了Python中inpho.model.Session.expunge_all方法的典型用法代码示例。如果您正苦于以下问题：Python Session.expunge_all方法的具体用法？Python Session.expunge_all怎么用？Python Session.expunge_all使用的例子？那么恭喜您, 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inpho.model.Session的用法示例。
在下文中一共展示了Session.expunge_all方法的2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: process_articles
# 需要导入模块: from inpho.model import Session [as 别名]
# 或者: from inpho.model.Session import expunge_all [as 别名]
def process_articles(entity_type=Entity, output_filename='output-all.txt',
corpus_root='corpus/'):
terms = select_terms(entity_type)
Session.expunge_all()
Session.close()
# fix search patterns
for term in terms:
newpatterns = []
for pattern in term.searchpatterns:
if '(' in pattern and ')' in pattern:
pattern = pattern.replace('( ', '(\\b')
pattern = pattern.replace(' )', '\\b)')
else:
pattern = '\\b%s\\b' % pattern.strip()
newpatterns.append(pattern)
term.searchpatterns = newpatterns
articles = Session.query(Entity.sep_dir).filter(Entity.sep_dir!=None)
articles = articles.filter(Entity.sep_dir!='')
articles = articles.distinct().all()
articles = [a[0] for a in articles]
# parallel processing of articles
p = Pool()
args = [(title, terms, entity_type, None, corpus_root) for title in articles]
doc_lines = p.map(process_wrapper, args)
p.close()
#serial processing for tests
'''
doc_lines = []
for title in articles:
lines = process_article(title, terms, entity_type, None, corpus_root)
doc_lines.append(lines)
'''
# write graph output to file
print output_filename
with open(output_filename, 'w') as f:
for lines in doc_lines:
f.writelines(lines)示例2: process_articles
# 需要导入模块: from inpho.model import Session [as 别名]
# 或者: from inpho.model.Session import expunge_all [as 别名]
def process_articles(entity_type=Entity, output_filename='output-all.txt',
corpus_root='corpus/'):
terms = select_terms(entity_type)
Session.expunge_all()
Session.close()
articles = Session.query(entity_type).filter(entity_type.sep_dir!='').all()
# parallel processing of articles
p = Pool()
args = [(title, terms, entity_type, None, corpus_root) for title in articles]
doc_lines = p.map(process_wrapper, args)
p.close()
# write graph output to file
with open(output_filename, 'w') as f:
for lines in doc_lines:
f.writelines(lines)