1974 | 1974 - Criando APIs com ASP.NET Core 2.0 e Dapper | REST library

Yes, because of the way eval works, essentially, since you are implicitly passing a different object for locals and globals (since it just gets globals() and locals()), the expression is being evaluated as if it were in a class definition, which does not create an enclosing scope. The behavior is described in the docs:

If the locals dictionary is omitted it defaults to the globals dictionary. If both dictionaries are omitted, the expression is executed with the globals and locals in the environment where eval() is called.

and if to keep reading in the exec docs:

Remember that at the module level, globals and locals are the same dictionary. If exec gets two separate objects as globals and locals, the code will be executed as if it were embedded in a class definition.

And class scopes don't create enclosing scopes, which is why you can't call methods without using self.

Here is another way to reproduce:

IoU can't be represented like this, usually it is written with scalar code. Here you need to compare every frame from target set with every one from predictions, "torch.max()" don't work this way. Try express (or just copy from somewhere) scalar python code for IoU, when it will work, you could try to optimize it with some tensor operations, if it is strongly required.

I would load the system from the TPR file to maintain the bond information. Then MDAnalysis can determine fragments (namely, your proteins). Then loop over the fragments to determine the COM time series:

Use cummean. Since you're first value is NA, you can group_by NA values and country, and apply the cummean.

Is this what you're looking for?

This works:

In order to simplify the code I've made a few changes. I've put the lothus flower in a symbol. Inside the pattern I'm using the symbol with . Since the symbol has a viewBox you can resize it as you need. In this case I'm using width="37.7" height="22.9". Please observe that I'm keeping the same aspect ratio. (symbol's viewBox="150 110 3770 2290")

Also the pattern has a width="37.7" height="22.9". In this case I'm using the same width and height as the use element and the lothus flowers are apearing one next to each other.

From what I understand, what you call "complete subsequences" are the sequences of distinct successive states.

The distinct successive states are obtained from the state sequences with seqdss, and the frequencies of the sequences with seqtab. So, we get frequencies of what you call "complete subsequences" with:

Initially, I arranged the data by year. In your sample data it already is, but that may not be the case in your real data. Next, I cut the groups into five-year chunks. I left an exception for the last group (could be less than five years).

Then I created the new variables, fiveYears, Scope_min, and Scope_max. Lastly, unnesting, so that you have all the data and the group-based information.