本文整理汇总了Python中stats.Stats.update方法的典型用法代码示例。如果您正苦于以下问题：Python Stats.update方法的具体用法？Python Stats.update怎么用？Python Stats.update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stats.Stats的用法示例。
在下文中一共展示了Stats.update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: Intelligence
# 需要导入模块: from stats import Stats [as 别名]
# 或者: from stats.Stats import update [as 别名]
class Intelligence(object):
"""
Emotion Intelligence of an entity
Based on Lövheim Cube of emotion:
Shame/humiliation Low Low Low
Distress/anguish Low Low High
Fear/terror Low High Low
Anger/rage Low High High
Contempt/disgust High Low Low
Surprise High Low High
Enjoyment/Joy High High Low
Interest/excitement High High High
"""
def __init__(self, name, emotion_parser):
self.name = name
self.parser = emotion_parser
self.threshold = 1.0
self.stats = Stats()
def update(self, text):
"""
Update emotional state of an entity
:param text: Emotionally charged text that entity produced
:return: self
"""
for emoji, power in self.parser.get_emojis(text):
emoji_dir = np.array(emoji.dim)
self.stats.update(power * emoji_dir / np.linalg.norm(emoji_dir))
return self
def emotions(self):
emo = []
emo_point = np.array(self.stats.mean)
for k, emotion in self.parser.known_emotions.iteritems():
emo_origin = np.array(emotion.dim)
dist = np.linalg.norm(emo_point - emo_origin)
if dist < self.threshold:
emo.append((emotion,
dist))
return emo示例2: run
# 需要导入模块: from stats import Stats [as 别名]
# 或者: from stats.Stats import update [as 别名]
def run(self):
"""
Runs the Gatling workload
Iterates until a stopping condition has been raised.
"""
cmd = self.command()
users = self.users_start
step = self.users_step
stdout_parser = GatlingStdoutParser()
runners = self.minions_with_role(self.config['gatling_role'])
timeout = max(2 * self.duration, 360)
while(True):
env = self.env(users=users)
kwargs = {
'timeout': timeout,
'arg': (cmd,),
'kwarg': {
'env': env,
'runas': self.config['gatling_user']
}
}
# Execution response (still have to make another request to
# get the simulation.log file contents)
retcodes = set([0, 2])
exe_resp = self.client.cmd(runners[0].id_,
'cmd.run_all',
retcodes=retcodes,
**kwargs)
exe_resp = exe_resp.values()[0]
retcode = exe_resp.get('retcode')
stdout = exe_resp.get('stdout')
stderr = exe_resp.get('stderr')
stdout = cStringIO.StringIO(stdout)
if stderr:
# Do something with stderr if not empty or non none
pass
result = GatlingResult(users, self.duration, self.webheads)
result.update({'retcode': retcode})
result.update(stdout_parser.parse(stdout))
print result
# Push the simulation log file to the master
kwargs = {
'timeout': timeout,
'arg': (result.simulation_log,)
}
log_resp = self.client.cmd(runners[0].id_, 'cp.push', **kwargs)
log_resp = log_resp.values()[0]
# Read the simulation log file
filename = self.log_file_path(
runners[0].id_,
result.simulation_log
)
stats = Stats()
with open(filename, 'r') as f:
stats.update(f)
# Attempt to get contents of simulation log
#kwargs = {
# 'timeout': timeout,
# 'arg': ('cat %s' % result.simulation_log,)
#}
#log_resp = self.client.cmd(
# runners[0].id_,
# 'cmd.run_all',
# **kwargs
#)
#log_resp = log_resp.values()[0]
#stdout = cStringIO.StringIO(log_resp.get('stdout'))
#stats = Stats()
#stats.update(stdout)
result.update({'stats': stats})
self._results.append(result)
if retcode not in [0, 2] or not result.success:
break
users += step