datasafe | secure data storage and document sharing | Encryption library
kandi X-RAY | datasafe Summary
kandi X-RAY | datasafe Summary
Constantly evolving and extending scope, production traffic and support in open banking world call for high maintenance and service investments on our part. Henceforth, Adorsys will offer all versions higher than v1.0.0.1 of Datasafe under a dual-license model. Thus, this repository will be available either under Affero GNU General Public License v.3 (AGPL v.3) or alternatively under a commercial license agreement. We would like to thank all our users for their trust so far and are convinced that we will be able to provide an even better service going forward. For more information, advice for your implementation project or if your use case requires more time to adapt this change, please contact us at sales@adorsys.com. For additional details please see the section FAQ on Licensing Change.
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Top functions reviewed by kandi - BETA
- Scans the classpath for classes in compile - time
- Creates the constructor arguments from the class constructor
- Create delegation context
- Generate java file
- Add extra engine
- Adds the engine
- Adds the engine to the provider
- Start the Downloader
- Downloads a file from an URL
- Read contents from a table
- Obtain the private access for the given user and resource
- Reads a document from a private space
- Removes the given location
- Used by Amazon S3
- Checks the security header
- List versions of a document
- Runs the user
- List documents in a private space
- Checks for system encryption to use
- Request authentication token
- Return a list of all public keys with public key aliases
- The CORS configuration
- Build a FileSystem to use
- Removes all public keys for the given user ID
- Writes an array of bytes to the output stream
- Creates AWS DFSCredentials from envvnet
datasafe Key Features
datasafe Examples and Code Snippets
String directoryBucketS3Uri = "s3://" + DIRECTORY_BUCKET.getBucketName() + "/";
// static client that will be used to access `directory` bucket:
StorageService directoryStorage = new S3StorageService(
directoryClient,
DIRECTORY_BUCKET
// this will create all Datasafe files and user documents under
defaultDatasafeServices = DaggerDefaultDatasafeServices.builder()
.config(new DefaultDFSConfig(root.toAbsolutePath().toUri(), "secret"::toCharArray))
.storage(new FileSy
// this will create all Datasafe files and user documents under
versionedServices = DaggerVersionedDatasafeServices.builder()
.config(new DefaultDFSConfig(root.toAbsolutePath().toUri(), "secret"::toCharArray))
.storage(new FileSystem
Community Discussions
Trending Discussions on datasafe
QUESTION
I am trying to calculate the global efficiency of a graph in igraph but I am not sure if I using the module correctly. I think there is a solution that might make a bit of sense but it is in r, and I wasn't able to decipher what they were saying.
I have tried writing the code in a networkx fashion trying to emulate the way they calculate global efficiency but I have been unsuccessful thus far. I am using igraph due to the fact that I am dealing with large graphs. Any help would be really appreciated :D
This is what I have tried:
...ANSWER
Answered 2019-Jun-17 at 20:44Assuming that you want the nodal efficiency for all nodes, then you can do this:
QUESTION
I have a 180x180 adjacency matrix which I am trying to generate all plausible combinations to work with using NetworkX.
I want to sequentially delete parts of the graph and then determine the effect on global efficiency of the new edited graph.
A plausible set of combinations in this view are all sets of nodes which are contiguous with each other, and all possible combination of subgraphs from assuming they are contiguous with each other up to the subgraph.
The brute force approach of running all of the combinations is too slow and has a run time of about 21 hours for any deletion series more than 15. So we want to address this by only looking at combinations which are contiguous with each other.
Basically the code needs to do the following:
- Import a csv containing a binary adjacency matrix where 1 implies physical continuity (in this case in the brain)
- Import into networkx graph
- Deterimine all sets of combinations which are at most path length of 1 away from each other ....in other words if two nodes or two node sets are greater than 1 apart at either end, then they get ignored
- Generate a list of those sets of nodes for each plausible combination
Here is the basic problem
assume the physical space of a region of the brain includes several areas which roughly sit like this...assume these are irregular polygons tesselating a plane
1 2 3 4 5
6 7 8 9
10 11
we can make this into an adjacency matrix where 1 means the regions share a border and 0 means they are not physically bordering each other
...ANSWER
Answered 2019-Apr-24 at 10:34The correct naming of your connected component is complete subgraph (don't mess with the true connected components). Your problem is known as clique problem. networkx
has several algorithms for solving this problem:
networkx cliques
Your problem can be solved by this function: networkx.algorithms.clique.enumerate_all_cliques
Note, that this function returns all possible cliques, with 1 and 2 length too (i.e. every node and every edge) so you should filter 1-2 length cliques. For example, for your graph this function returns:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install datasafe
You can use datasafe like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the datasafe component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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