toolbelt | sexy little helper , to make the daily work | Runtime Evironment library

Ok. So what you can do in javascript is to write `document.getElementById("id of button").backgroundColor="whatever color you need to set in button"'

I had this issue as well and for me installing pip packages with python -m pip install worked. So python -m pip install --upgrade pip==20.2 should work for you.

See here:

We can use os module to create the pip list, then we use pandas.read_csv with \s+ as seperator to read the pip list into a dataframe:

As per the dyno stop ps:stop behavior outlined in this question:

Running ps:stop on dynos that are part of a scaled process will automatically be restarted. In Private Spaces, ps:stop will terminate and replace the dedicated instance running the dyno(s). To permanently stop dynos, scale down the process."

To scale down the dynos to 0 through the Platform API, you'll need to use formation API.

Formation List:

The question makes little sense because that isn't how floating point errors work.

Inaccuracies are tiny. They happen in remote decimals and they're only noticeable when you require very high precision levels. After all, IEEE 754 powers a vast majority of computer systems and it offers an excellent precision. To put it in context, 0.1 kilometres expressed as float is 0.100000001490116119384765625, what makes accurate up to 1/10 of a µm if I didn't get maths wrong.

There probably isn't a set of carefully chosen figures and a real-life calculation you'd be expected to use PHP for (an invoice, a stock exchange index...) that renders incorrect results no matter how careful you are with precision levels. Because that's not the problem.

The problem with floating point maths is that its forces you to be extremely careful on every step and it makes it very easy for bugs to slip in.

For applications where accuracy matters, you can write correct software using floats, but it won't be as easy, maintainable or robust.

Original answer:

This is the best I've got so far (thanks to chtz for the hint):

Look's like an issue with Django 1.10.x and Python 3.6:

https://bugs.python.org/issue23722 https://github.com/django/django/pull/7653/commits/5a36dbc634f4ebd7ccae8f0a4bab987b478750cb

Options are to downgrade Python to version 3.5 or to update Django to newer release.

Based on "msg": "Destination /tmp/install-amazon2-td-agent4.sh is not writable", I'd guess it is because site.yml contains become: yes statement, which makes all tasks run as root. The "anonymous" playbook does not contain a become: declaration, and thus would need one to either run ansible-playbook --become or to add become: yes to it, also

You need some kind of state management (like Fluxor) or you need some kind of messaging system.

The issue is that when you read the JSON file, json.load is returning a Python dict. When you then use this as an input to an f-string, you are just getting the Python representation of that dict, rather than a valid JSON object - as you've noticed, it is presented as single quotes, which are not valid in JSON - JSON is fussy about single vs. double quotes.

Instead of using counties, you could use json.dumps(counties) instead.

However, I'd recommend that you do something different. Instead of manipulating strings to create JSON objects, do that work in Python and then convert to JSON as necessary. That's what the json library is there to help you with!

E.g. you could do the following, which is quite a bit simpler: