lunum | Numeric arrays for the Lua programming language

by jzrake C Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | lunum Summary

lunum is a C library typically used in Programming Style applications. lunum has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Lunum ('lua' + 'number') is a numeric extension for the Lua programming language. Its goals are to provide flexible and robust facilities for the manipulation of multi-dimensional numeric arrays, using a syntax and style that feels native to Lua, but also guessable to Numpy users. All of the hard work is done in C, making it prefectly acceptable for use in scientific software development. Consistent with the Lua philosophy, Lunum is easy to embed in C applications. This means that C applications may readily embed the Lua interpereter along with the Lunum API, rather than relying on building shared modules as in Python. This has important consequences, especially for distributed memory parallel computing where the embedding application may be using MPI. Thus far, there is no way of (simply) accomplishing this with Python and Numpy. At this time, Lunum does not offer a linear algebra or FFT package. When these things are implemented, they will be built optionally so as not to add unnecessary bulk or build dependencies to the code.

Support

Quality

Security

License

Reuse

Support

lunum has a low active ecosystem.

It has 28 star(s) with 4 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lunum is current.

Quality

lunum has 0 bugs and 0 code smells.

Security

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

lunum code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

lunum 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

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

Installation instructions are not available. Examples and code snippets are available.

It has 9 lines of code, 1 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of lunum

Get all kandi verified functions for this library.

lunum Key Features

No Key Features are available at this moment for lunum.

lunum Examples and Code Snippets

No Code Snippets are available at this moment for lunum.

Community Discussions

Trending Discussions on lunum

Apache Flink: Custom trigger behaves unexpectedly

QUESTION

Apache Flink: Custom trigger behaves unexpectedly

Asked 2018-Dec-12 at 20:42

I have a DataStream that consists of events with a property that represents a batch of produced elements. That property, let's call it 'batchNumber', is constant in every event I ingest from the same production batch. I receive multiple events per batch.

I want to analyze machine performance within a batch when the 'batchNumber' changes. My approach is to use a global stream and partition it using the 'batchNumber' as a key. I would expect that this partitions the global stream into windows in which there is every event with that 'batchNumber'. Then I define a trigger, which should fire when the 'batchNumber' changes. Then I can analyze the aggregated data in a ProcessWindowFunction.

My problems are:

The trigger isn't always firing when the prodnr changes
Even if it does fire, there is only one element being aggregated. I'm expecting close to 200.

This is the code I'm using.

...

ANSWER

Answered 2018-Dec-12 at 20:42

Are you sure you want to key the stream by event.lunum? That makes sense if you are expecting roughly 200 events for each distinct value of lunum. But if you only have one event per batch for each value of lunum, that would explain the behavior you are seeing.

Also, are you sure your events are being processed in order? If the batches are being interleaved somewhere in your processing pipeline by race conditions between parallel processes, that might also help explain what you are seeing.

Furthermore, you should be clearing the state in the clear method of the Trigger. And you will need to implement an Evictor to that removes elements from the window after it is processed.

This part of the window API is quite complex. I think this particular application would be much more straightforwardly implemented as a RichFlatMap that gathers items in a ListState until the batch number changes (which you'd keep in ValueState).

Source https://stackoverflow.com/questions/53746813

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install lunum

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: