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This was solved by setting, gtag('config', 'UA-XXXX-X',{'site_speed_sample_rate': 100})

Apache POI's documentation is a little bit unclear in this case. So I will try to shed more light.

At first: All the following is state of 2022-01-26, Apache poi 5.2.0.

Excel functions which are implemented or only known by name

Developing Formula Evaluation -> What functions are supported? tells:

As of July 2021, POI supports 302 built-in functions, see Appendix A for the full list.

But that's not really true. It better should read: "POI knows 393 built-in functions by name.", because not all those functions are implemented yet.

After much trial and error I think I have a solution to the problem. I tried registering a cleanup function with the tp_finalize slot of PyThing but this didn't quite work. It seems that functions registered to weakref's finalize method take priority in terms of deallocation order on exit. Because Context is using weakref's finalize it gets cleaned up before PyThing on exit. I needed to register PyThing with weakref in order to get the correct deallocation order. PyThing 's deallocation method works as normal (i.e. it performs both a ref count decrement on the owned context as well as deallocates C_CLASS) but I also created a separate method to register PyThing with weakref (done within PyThing's init method in the C api) that only deallocates the C_CLASS. If the ref count gets to 0 in the middle of the program the deallocation method gets called as it should, however on exit the finalize method gets called and destroys the C_CLASS before the context is destroyed (the deallocation method may still be called so C_CLASS should be checked if it is NULL so delete/free isn't called a second time).

It looks like you cannot. From the doc mentioned in the original post, the supported syntax is:

1. First thing you need to use dataLayer after that Google will see dataLayer object and pass the requirement data to google analytics server.

2. Second you need to install package npm i angular-google-tag-manager If you want to read document then you can check Here.

3. Inject the service in your constructor may be thank you page or as per your requirement like below example.

   constructor(private gtmService: GoogleTagManagerService){ }

4. After you need to use this.gtmService.pushTag() we will send object in pushTag function.

5. You need to pass the object inside the pushTag function and how will you pass so you need to check this document.

6. Pass the dynamic value in object.

7. Before ecommerce object put 'event': 'Purchase', and This Purchase event we will used when we configure in the google tag manager.

8. Finally put your object inside the pushTag function like below example

   this.gtmService.pushTag(purchaseObj);

1. Account Sign in Google Tag Manager Here.
2. Go to Workspace and click on Tags and create a New tags.
3. Change the Untitled tag and Give name as per your choice and select Google Analytics: Universal Analytics
4. Select Track Type Event because we will check based on event from the dataLayer.
5. Give the name as per your choice in Category Field.
6. Give the name as per your choice in Action Field.
7. Select True from Non interaction Hit dropdown.
8. Checked the Enable overriding settings in this tag.
9. Tracking Id you need to pass from the google analytics account.
10. Go to Ecommerce Checked Enabled Enhanced Ecommerce features and then Checked Use DataLayer.
11. Create Trigger click on Trigger Section so you will see New Page.
12. Give the name as per your choice.
13. In Event Name Field pass the EventName Purchase where we putted event: 'Purchase' in above points.
14. Click Save Save Save..... and Submit and Publish...

Note

Transaction Tracking takes 24 to 48 hrs or 3 days to Reflect in your google analytics accounts.

Welcome to the world of Python build configuration! I'll go through the command line options to ./configure one by one.

--with-pydebug is for core Python developers, not developers (like you and me) just using Python. It creates debugging symbols and slows down execution. You don't need it.

--enable-optimizations is good for performance in the long run, at the expense of lengthening the compiling process, possibly by 3-fold (or more), depending on your system. However, it results in faster execution, so I would use it in your situation.

--with-ensurepip=install is good. You want the most up-to-date version of pip.

--enable-shared is maybe not a good idea in your case, so I'd recommend not using it here. Read Difference between static and shared libraries? to understand the difference. Basically, since you'll possibly be installing to a non-system path (/opt/local, see below) that almost certainly isn't on your system's search path for shared libraries, you'll very likely run into problems down the road. A static build has all the pieces in one place, so you can install and run it from wherever. This is at the expense of size - the python binary will be rather large - but is great for non-sys admins. Even if you end up installing to /usr/local, I would argue that static is better/easier than shared.

--enable-unicode=ucs4 is optional, and may not be compatible with your system. You don't need it. ./configure is smart enough to figure out what Unicode settings are best. This option is left over from build instructions that are quite a few versions out of date.

--prefix I would suggest you use --prefix=/opt/local if that directory already exists and is in your $PATH, or if you know how to edit your $PATH in ~/.bashrc. Otherwise, use /usr/local or $HOME. /usr/local is the designated system-wide location for local software installs (i.e., stuff that doesn't come with Ubuntu), and is likely already on your $PATH. $HOME is always an option that doesn't require the use of sudo, which is great from a security perspective. You'll need to add /home/your_username/bin to your $PATH if it isn't already present.

You will see requests no matter is the status is granted or denied - in fact, that is the point of Consent Mode, to allow for data collection, even when the user objects to having personal identifiers created.

What you should not see, is cookies being created. However your setup is a bit unusual, in that you initially set the status to granted. Usually you would start with denying personalization and storage, and then interact with the user to find out their preferences. So it might very well be that your Google tags run with full permissions before you change the status to "denied".

You can check if you have successfully changed the status by inspecting the requests to Google tags in the network tab in the browser. Look for a parameter called "gcs" - it should have a value of "100" if the status is denied, and "111" if the status is granted.

If you have denied storage, the requests will not use cookie data, even when a cookie is present.

You have to use this operator =~ that means Contains a match for the regular expression.

So the value of the filter have to be like this:

Maybe typing it out my problem was just what I needed. The last thing I tried, LambdaPermission was the key - but the action was incorrect and needed to be InvokeFunction. I also chose to assign the FunctionName as the lambda ARN instead of the name