tcc | track of Tiny C Compiler

(this is an old exam for my current course)

I'm trying to overload operator<< in a template class but when I compile the code and run the program i get this message:

Here is my code:

I had no error. Always refresh cache and local memory.

Resources for Verifying Translations:

[NCBI Protein Translation Tool][1] (Validation)

[Text Compare][2] (Verification)

[Solution Inspiration][3]

300 DNA chars -> 100 protein chars.

I need to plot a large number of graphs from the same data frame. each plot describes a different group of variables in the data frame, but each variable is contained in several plots. My plan is to loop through a data structure which would include the name for each graph, and the vector of variables indexes to plot.

for example:

However, I can't find a suitable data structure in R, in which one column would contain the list of plot names (strings) and the second column would be a list of variable ranges (vectors). additional column might contain other parameters for each plot.

So,

1. Is there a suitable data structure in R?
2. Is there a better way to go about it?

Thanks!

I have some objects stored in localStorage, I need the value in the objects for some mathematical computations. how do I get them?

I am trying to implement transactions notifications to GA property with Enhanced E-Commerce enabled from a stripe events handler written in nodejs. My hits look like so:

I have a list of pandas data frames that I got applying the groupby function and I want to add to them a new column with the frequency of each kmer. I did that with a loop but I got a message warning that I need to use df.loc[index, col_names]. Here it is a link to one example of the csv file: https://drive.google.com/file/d/17vYbIEza7l-1mFnavGGO1QjCjPdhxG7C/view?usp=sharing

Based on building a .so that is also an executable I'm trying o reproduce with C++ and I'm getting a segmentation fault on main program execution.

I would like to know what kind of technique in Machine Learning domain can solve the problem below? (For example: Classification, CNN, RNN, etc.)

Problem Description:

User would input a string, and I would like to decompose the string to get the information I want. For example:

1. User inputs "R21TCCCUSISS", and after code decomposing, then I got the information: "R21" is product type, "TCC" is batch number, "CUSISS" is the place of origin
2. User inputs "TT3SUAWXCCAT", and after code decomposing, then I got the information: "TT3S" is product type, "SUAW" is batch number, "X" is a wrong character that user input , and "CCAT" is the place of origin

There are not fix string length in product type, batch number, and place of origin. Like product type may be "R21" or "TT3S", meaning that product type may comprise 2 or 3 character.

Also sometimes the string may contain wrong input information, like the "X" in example 2 shown above.

I’ve tried to find related solution, but what I got the most related is this one: https://github.com/philipperemy/Stanford-NER-Python

However, the string I got is not a sentence. A sentence comprises spaces & grammar, but the string I got doesn’t fit this situation.