DFA | Deterministic Finite Automata in C++ , Token Parser & Lexer | Interpreter library

by fffaraz C++ Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | DFA Summary

DFA is a C++ library typically used in Utilities, Interpreter applications. DFA has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Deterministic Finite Automata very simple DFA implementation in pure C++.

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Support

DFA has a low active ecosystem.

It has 41 star(s) with 12 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

DFA has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DFA is current.

Quality

DFA has 0 bugs and 0 code smells.

Security

DFA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

DFA code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DFA does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

DFA releases are not available. You will need to build from source code and install.

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DFA Key Features

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DFA Examples and Code Snippets

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Community Discussions

Trending Discussions on DFA

How do I convert a dataframe column filled with numbers to strings in python?

Properly using reprex package when generating examples that load libraries

Count the number of occurrences of an event in the past 1 year

How to merge for loop output dataframes into one with python?

Filter dataset from multiple columns of another dataset

Insert colA into DF1 with vals from DF2['colB'] by matching colC in both DFs

Are loop variables in Fortran SAVEd?

Pandas Cannot Filter Our nan Values

Pandas - Sum of rows between two indexes in diffrent columns

create a column that is the sum of previous X rows where x is a parm given by a different column row

QUESTION

How do I convert a dataframe column filled with numbers to strings in python?

Asked 2022-Mar-29 at 10:56

I have a dataframe dfA that has a column diff where every value is a number, example:

...

ANSWER

Answered 2022-Mar-29 at 10:56

Convert values to integers and strings to helper Series s, so possible compare original column for greater like 0 with Series.mask for prepend +:

Source https://stackoverflow.com/questions/71660394

QUESTION

Properly using reprex package when generating examples that load libraries

Asked 2022-Mar-23 at 12:31

I would like to use a reprex package when generating an answer/question¹ that utilises multiple packages. Say I want to provide the following answer

...

ANSWER

Answered 2022-Mar-23 at 12:09

You don't need to run suppressPackageStartupMessages more than once. You can do

Source https://stackoverflow.com/questions/71586579

QUESTION

Count the number of occurrences of an event in the past 1 year

Asked 2022-Mar-22 at 08:50

I am trying to count the number of occurrences of an event within 1 year of the date of that row. I have came up with the count for number of days since the last event but cannot figure out how to continue as I need to look back 365 days, and not just look forward from the date of last dummy.

I need the counts only when level is not NA, but that is not a big issue.

EDIT:

I have added 14 more rows to show another example where level is not actually NA.

After help from jay.sf, the current result gives:

Row 33 = 1 but would like Row 33 = 0 because there were no occurrences within 1 year before.

Similarly for row 37.

Row 39 = 2 but there was only 1 occurence before, not considering today's.

Therefore I believe I need to change the code such that I only consider counting that row's dummyflag on the next row.

...

ANSWER

Answered 2022-Mar-22 at 08:50

Try seq.Date with '-1 year' and loop over the rows using sapply.

Source https://stackoverflow.com/questions/71547017

QUESTION

How to merge for loop output dataframes into one with python?

Asked 2022-Mar-15 at 01:17

I have 2 dataframes as following:

...

ANSWER

Answered 2022-Mar-15 at 00:52

A vectorized (read "much faster") solution:

Source https://stackoverflow.com/questions/71475722

QUESTION

Filter dataset from multiple columns of another dataset

Asked 2022-Feb-27 at 19:44

Consider this df 'A':

...

ANSWER

Answered 2022-Feb-27 at 19:08

One option is to reindex dfB with dfA['index'] and evaluate where the "pet" values match:

Source https://stackoverflow.com/questions/71287652

QUESTION

Insert colA into DF1 with vals from DF2['colB'] by matching colC in both DFs

Asked 2022-Feb-20 at 23:43

I have two CSV files, CSV_A and CSV_B.csv. I must insert the column (Category) from CSV_B into CSV_A.

The two CSVs share a common column: StockID, and I must add the correct category onto each row by matching the StockID columns.

This can be done using merge, like this:

...

ANSWER

Answered 2022-Feb-20 at 19:37

While creating the question I discovered the solution, so decided to post it rather than just deleting the question.

Source https://stackoverflow.com/questions/71198075

QUESTION

Are loop variables in Fortran SAVEd?

Asked 2022-Feb-13 at 18:50

I have SAVE statement in subroutine or function. Also I haven't IMPLICIT NONE. In that case are loop variables in Fortran SAVEd? Example:

...

ANSWER

Answered 2022-Feb-13 at 18:50

A DO construct of the form of the question is not a scoping unit. Further, a "loop variable" for such a construct is not a privileged entity: it's just a variable in the scope containing the loop which is used in a particular way.

j in this case is variable which exists before the DO construct, and it exists after the DO construct.

That j is of implicitly declared type is not relevant: a variable which is not a construct or statement entity with implicit type exists throughout the scoping unit (and possibly others) in which the reference appears (see later). That is, the implicitly typed j here exists throughout the function, not just from the point where it appears in the DO construct.

The SAVE statement applies to the whole (non-inclusive) scoping unit. If j is a local variable (in this case, not use- or host-associated) then the SAVE saves it.

As Steve Lionel points out in a comment, in general, things can be much more complicated. Although not relevant to this question there are exceptions to what may otherwise be seen as blanket statements above.

Consider the similar concepts (switching to free form code for clarity)

Source https://stackoverflow.com/questions/71100970

QUESTION

Pandas Cannot Filter Our nan Values

Asked 2022-Feb-05 at 20:31

I have no idea why this isn't working... Why am I not able to get rid of these?

I have tried the following:

...

ANSWER

Answered 2022-Feb-05 at 20:30

Maybe nan values are string with extra whitespaces:

Source https://stackoverflow.com/questions/71001817

QUESTION

Pandas - Sum of rows between two indexes in diffrent columns

Asked 2022-Jan-13 at 10:55

I have a dataframe with two conditions. I want to count the rows from when condtion 1 is first time hit until condition 2 is hit, then start over again and wait for the next time cond1 gets hit again and sum up til cond2

What i want to sum is the the "change" column in that span of rows between the conditions.

cond 1 indexes are = 4, 8, 12, 16

cond 2 indexes are = 10, 16, 19, 23

To sum it up i want to sum the change column from index 4 to index 10 skipping index 8, then from 12 to 16, then 16 to 19 and so forth.

...

ANSWER

Answered 2022-Jan-12 at 21:46

The logic for grouping is complicated enough so that we need to write a function to do it, so we start with that:

Source https://stackoverflow.com/questions/70683257

QUESTION

create a column that is the sum of previous X rows where x is a parm given by a different column row

Asked 2022-Jan-09 at 18:38

Im trying to create a column where i sum the previous x rows of a column by a parm given in a different column row.

I have a solution but its really slow so i was wondering if anyone could help do this alot faster.

...

ANSWER

Answered 2022-Jan-09 at 18:38

Maybe something like this could work. I have made up an example with to_be_summed being the column of the value that should be summed up and looback holding the number of rows to be looked back

Source https://stackoverflow.com/questions/70643487

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Vulnerabilities

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