小编Tan*_*ock的帖子

好吧,之前我曾经涉猎过JavaScript,但我写的最有用的东西是CSS样式切换器.所以我对此有些新意.假设我有这样的HTML代码:

<div id="foo">
    <div class="bar">
        Hello world!
    </div>
</div>

我怎么改变"Hello world!" 到"再见世界!" ？我知道document.getElementByClass和document.getElementById如何工作,但我想更具体.对不起,如果之前有人询问过.

我使用云形成在VPC中创建了一个lambda的堆栈.当我尝试删除整个堆栈时,需要40-45分钟的时间.

我的Iam角色具有以下权限:

Action:                            
          - ec2:DescribeInstances
          - ec2:CreateNetworkInterface
          - ec2:AttachNetworkInterface
          - ec2:DescribeNetworkInterfaces
          - ec2:DeleteNetworkInterface
          - ec2:DetachNetworkInterface
          - ec2:ModifyNetworkInterfaceAttribute
          - ec2:ResetNetworkInterfaceAttribute
          - autoscaling:CompleteLifecycleAction
          - iam:CreateRole
          - iam:CreatePolicy
          - iam:AttachRolePolicy
          - iam:PassRole
          - lambda:GetFunction
          - lambda:ListFunctions
          - lambda:CreateFunction
          - lambda:DeleteFunction
          - lambda:InvokeFunction
          - lambda:GetFunctionConfiguration
          - lambda:UpdateFunctionConfiguration
          - lambda:UpdateFunctionCode
          - lambda:CreateAlias
          - lambda:UpdateAlias
          - lambda:GetAlias
          - lambda:ListAliases
          - lambda:ListVersionsByFunction
          - logs:FilterLogEvents
          - cloudwatch:GetMetricStatistics

如何改善堆栈的删除时间？

我正在玩Enigma Catalyst.不幸的是,文档相当有限.

所以我试图运行他们的示例"hello world"类型algo,如下所示:

from catalyst import run_algorithm
from catalyst.api import order, record, symbol
import pandas as pd

def initialize(context):
    context.asset = symbol('btc_usd')


def handle_data(context, data):
    order(context.asset, 1)
    record(btc=data.current(context.asset, 'price'))


if __name__ == '__main__':
    run_algorithm(
        capital_base=10000,
        data_frequency='daily',
        initialize=initialize,
        handle_data=handle_data,
        exchange_name='Bitfinex',
        algo_namespace='buy_and_hodl',
        base_currency='usd',
        start=pd.to_datetime('2018-01-02', utc=True),
        end=pd.to_datetime('2018-01-03', utc=True),
    )

我意识到根据文档说它首先需要"摄取"下载我认为我做过的历史数据.但是,这会导致以下错误:

[2018-02-25 02:54:10.696049] WARNING: Loader: Refusing to download new
treasury data because a download succeeded at 2018-02-25
02:08:26.001177+00:00.

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这导致没有数据

[2018-02-25 02:54:10.830665] INFO: Performance: first open: 2018-01-02
00:00:00+00:00 …

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