fibrous | contrast async I/O on various languages | Runtime Evironment library

Having difficulty getting the boost regex match results to come out in the same way as the standard library. Meaning the standard library returns the first match in a multi line input that produces multiple matches.

The goal is to get the best performance as the product that runs this code hits it a great deal. The substring calls are horrendously slow and therefore the boost way of doing things.

This product is in C++ prior to C++ 11. old stuff that I can't upgrade.

Example below:

_pattern : [A-Za-z0-9].+\\n[ \t]*\\n

Input string: ( the line feeds are essential )

I´m a novice in python, so please help. I´d like to add an index to row and column elements in same way like page elements have index.

Within page 1 there are 4 rows, so the index would go from 0 to 3. Within page 1, row 0 there is only one column, so index would be only 0. In page 1, row 2 there are 3 columns, so index for columns would go from 0 to 2. The same for the other rows in other pages.

I've been beginning testing with Elementree but only the basics to print elements. Maybe someone could help me with this.

I have the following code for basic testings only but I don´t know how to proceed with this.

I have the following code to import XML file and convert to table form in Excel 2016 qith Power Query.

I am having a problem I have a huge list of strings I need to compare and if a match is found it sets a variable. I am trying to do this in node.js express app. When I try to run this as an if/else statement in a foreach loop the call stack is exceeded. I need another way to compare strings and set a variable if a match is found. The data I am comparing has 8000 rows. and at times we will be running this against 200 strings. is this possible?

I am currently trying to work with the new xgboostExplainer package.

I am following the githib page here https://github.com/AppliedDataSciencePartners/xgboostExplainer/blob/master/R/explainPredictions.R

on line 34, the xgboost model is ran:

xgb.model <- xgboost(param =param, data = xgb.train.data, nrounds=3)

However on line 43 I am running into some problems.

explainer = buildExplainer(xgb.model,xgb.train.data, type="binary", base_score = 0.5, n_first_tree = xgb.model$best_ntreelimit - 1)

I understand that n_first_tree is depreciated but I cannot seem to access the xgb.model$best_ntreelimit -1 part.

The sections I can access in xgboost are;

I have some xml files in which there are nodes for sections of an article like

I want to for given number in this case top_result, second_result, third_result loop over xml file and if that number is in the xml file it will return class name="" number="" description="" for that given number.

I'm doing something like this

Going through this jsFiddle, I wanted to know the YADCF equivalent of hidden columns, as shown in use for the standard DataTables, to enable for filtering from hidden columns (DataTable's targets seems to be equivalent to YADCF's column number).

Below is the code I have for a table where I want to hide the first column, yet still allow filtering from it.