def populate(cls):
size, nwords = cls.sizes[cls.cfg.size]
published = populate('date', size=size)
blog = cls.models.blog
with cls.models.begin() as t:
for dt in published:
title = populate('choice', 5,
choice_from=basic_english_words)
words = populate('choice', size,
choice_from=basic_english_words)
t.add(blog(published=dt, title=' '.join(title),
body=' '.join(words)))
return t.wait()
def populate_from_file(size, path):
p = os.path
path = p.join(p.dirname(p.dirname(p.abspath(__file__))), 'data', path)
with open(path) as f:
all = f.read()
all = [a for a in all.split('\n') if a]
return populate('choice', size, choice_from=all)
def populate_from_file(size, path):
p = os.path
path = p.join(p.dirname(p.dirname(p.abspath(__file__))), 'data', path)
with open(path) as f:
all = f.read()
all = [a for a in all.split('\n') if a]
return populate('choice', size, choice_from=all)
def random(self):
string = populate('string', size=100)
values = populate('float', size=100, min=-10, max=10)
s = self.zset()
s.update(zip(values, string))
return s
def random(self, size=100, score_min=-10, score_max=10):
scores = populate('float', size, score_min, score_max)
data = populate('string', size, min_len=5, max_len=10)
return self.skiplist(zip(scores, data))
def random(self):
string = populate('string', size=100)
values = populate('float', size=100, min=-10, max=10)
s = self.zset()
s.update(zip(values, string))
return s
def random(self, size=100, score_min=-10, score_max=10):
scores = populate('float', size, score_min, score_max)
return Skiplist(scores)
def random(self, size=100, score_min=-10, score_max=10):
scores = populate('float', size, score_min, score_max)
data = populate('string', size, min_len=5, max_len=10)
return self.skiplist(zip(scores, data))