hunted | Just because hunted does n't mean | Runtime Evironment library

Yes, using Xcode 12, you can create universal binaries that run both on M1 and x86. These Apple Developer documents go into the details:

Building a Universal macOS Binary and Porting Your macOS Apps to Apple Silicon (while the second document is instructing about going the other direction, it's still a good reference on the universal binary concept.)

Let's focus on the stack trace first. If you look carefully you can see which file and line the problem originated in:

Firstly, let's just clarify on the setup. My Windows laptop is running Python 3 (using Anaconda) and all application code is local. My Selenium Grid is running a VM in the cloud under docker where I have Selenium Grid, Portainer (to manage docker) and incidentally mongdb to save scraped results. All is now working.

The objective, to install extensions onto the remote Selenium Grid, which by its nature has no way to directly interact with chrome. So you cannot just pause the script, add the extension manually, and carry on. Oftentimes we run chrome almost blind.

Here are a couple of methods that did not work for me.

1. Training Selenium to add the extension by keypresses using for instance send.keys. This won't work because the very last popup before installing the extension has buttons "Do you want to install the extension" and "Cancel". This popup comes from the interaction between chrome.exe and Windows and is not automatable from chromedriver. It is in the local Windows GUI, not the DOM of the webpage.

2. Creating a userdata profile locally, interacting with chrome to install the extension, and copying that profile to the remote machine. Chromedriver/Selenium will use the profile, but it won't bring up the extensions.

3. Installing extensions using a crx file, the most commonly quoted method, does not seem to work when applied to a Selenium Grid running remotely. It crashes.

The documentation is unclear to me whether the paths to userdata and the extensions should be on the local python machine or the remote Selenium machine. While oddly there are Exceptions that refer to the keys being wrong when the path of the extension is local, the answer is that both should be remote.

Since I am running under docker we need a path that I can upload files to and that are also available to the container inside docker. By going into portainer and examining the drives bound to that container, I was able to determine that that drive was dev/shm/ and that both the container and my SSH connection would refer to it by the same path(not always the case in docker). The dev folder is in the root of my debian/docker setup.

So this worked for me

I believe your goal as follows.

• You want to delete the checkboxes of the columns "E" and "F" when the phone number is not put to the column "C".
  • In this case, you don't want to uncheck the checkboxes. You want to delete the checkboxes.
• When I saw your sample Spreadsheet, the column "D" has the phone number of number and hyphen and the value of "PHONE NUMBER". In this answer, I understood that you wanted to delete the checkboxes of columns "E" and "F" for both values.

In order to achieve your goal, I would like to propose to delete the checkboxes using the range list. The sample script is as follows.

Please try this code and tell me if I am on the right way:

I replaced your so called clumsy code with this one

The problem is that your read_json(....).text line returns a series, not a dataframe.

Adding a .to_frame() and referencing the column in the following line should fix it:

You forgot to close your file at the end of your script f.close(). Strings will be written after the file is closed.

An alternative would be with open(...):

The issue is that you are using euclidean distance for comparing strings. Consider using Levenshtein distance, or something similar, which is designed for strings. NLTK has a function called edit distance that can do this or you can implement it on your own.

You can get the cumsum, and floor divide by 5. Then subtract the result of the floor division, multiplied by 5, from the below row's cumulative sum: