fornax | Approximate fuzzy subgraph matching in polynomial time | Data Mining library

by digicatapult Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | fornax Summary

fornax is a Python library typically used in Data Processing, Data Mining applications. fornax has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

An implementation of NeMa: Fast Graph Search with Label Similarity using python3 and sqlite or postgres.

Support

Quality

Security

License

Reuse

Support

fornax has a low active ecosystem.

It has 17 star(s) with 2 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 6 have been closed. On average issues are closed in 18 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of fornax is current.

Quality

fornax has no bugs reported.

Security

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

License

fornax is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed fornax and discovered the below as its top functions. This is intended to give you an instant insight into fornax implemented functionality, and help decide if they suit your requirements.

Add two edges
Check that edges are valid
Adds matches
Validate matches
Return the GraphHandle object for the query
Check that the query exists
Add new nodes to the graph
Check that nodes are too large
Calculate the hash of an item
Hash an item
Delete the node
Check if the graph exists
Search for a node based on the query
Draws a networkx graph
Delete the record
Set foreign keys to foreign keys
Execute the query
Convert an edge to a dictionary
Close connection

Get all kandi verified functions for this library.

fornax Key Features

No Key Features are available at this moment for fornax.

fornax Examples and Code Snippets

No Code Snippets are available at this moment for fornax.

Community Discussions

Trending Discussions on fornax

Ansible EC2 add multiple hosts

Hide CSS class with jquery

Download https image with Indy for Delphi

QUESTION

Ansible EC2 add multiple hosts

Asked 2017-Nov-06 at 05:48

trying to find and add hosts dynamically like so

...

ANSWER

Answered 2017-Nov-06 at 05:01

You pass a list (of IP addresses) to an argument name which requires a string:

hostname="[u'10.112.114.241']"

[ ] is a JSON representation of a list (single element in the example above).

If you want the first address from the list (and there seems to be no more for any of your hosts), then:

Source https://stackoverflow.com/questions/47129816

QUESTION

Hide CSS class with jquery

Asked 2017-Jun-02 at 21:50

I found a post in here that said basically the same thing I'm asking, but it says to "avoid asking for help or clarification", so I'm starting a new post.

I have a server side CSS being generated on a thank you page after an online order submission - it looks like this:

I would like to hide the text logo - top left - "textLogo1" and then I'd like to hide the "continue shopping" link there in the middle.

I can do this in firebug by adding it to the class, but I'm unable to find the class anywhere.

This is for a site using Big Commerce and I'd like to know:

How do you write such a jQuery request?
Where would I put said request once written? (header.php I'm assuming)

May I use something like this?

...

ANSWER

Answered 2017-Jun-02 at 19:23

Just use a simple $('.classname').hide();, like Matthew Broderick suggested.

In my example, I've set the function to be called on a button press, but you can change that.

Source https://stackoverflow.com/questions/44335915

QUESTION

Download https image with Indy for Delphi

Asked 2017-Feb-03 at 00:36

I've seen quite a few posts on how to download an http image to a memory stream, but I'm having trouble grabbing an https image.

I hoped it would be as easy as dropping an SSL handler in but I keep getting the following error:

Error connecting with SSL. error:14094410:SSL reourtines:SSL3_READ_BYTES:sslv3 alert handshake failure.

The example site I've been using I think uses SSLv3.

https://apod.nasa.gov/apod/image/1702/NGC1316_MazlinKellerMenaker1024d.jpg

Annoyingly the JSON actually returns an http node, but it gets redirected to the https version

https://api.nasa.gov/planetary/apod?api_key=DEMO_KEY

...

ANSWER

Answered 2017-Feb-03 at 00:36

Make sure you are using an up-to-date version of Indy 10 with all the latest fixes for handling TLS 1.2. Using the current version, the code you have shown works fine for me when I set the SSLOptions.Method to either sslvTLSv1_1 or sslvTLSv1_2 (as well as when I set the SSLOptions.SSLVersions to [sslvTLSv1_1, sslvTLSv1_2]). The image downloads correctly.

However, do note that there is a memory leak in your code. If any exception other than IdHTTPProtocolException is raised, you are not freeing the TMemoryStream object. Your code should look more like this instead:

Source https://stackoverflow.com/questions/42007268

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

Vulnerabilities

No vulnerabilities reported

Install fornax

Note that Fornax requires numpy to be installed (part of the SciPy ecosystem) which in turn has non python dependencies. The available options for installing SciPy packages are listed here. We recomend installing fornax via anaconda.
From the root directory:.
The following tutorials use jupyter notebooks to create a worked example. We recommend you use the anaconda python distribution to run the notebooks.

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: