jpf-label | basic extension of JPF which provides an easy way | Data Labeling library

by javapathfinder Java Version: Current License: GPL-3.0

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

kandi X-RAY | jpf-label Summary

jpf-label is a Java library typically used in Artificial Intelligence, Data Labeling applications. jpf-label has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

jpf-label is a basic extension of Java PathFinder (JPF) which provides an easy way to label states of the state space generated by JPF. To capture simple known facts about the states of JPF's virtual machine, jpf-label labels those states with a set of atomic propositions. We can use jpf-label to either produce a file that describes the labelling of the states or enhance the graphical representation of the state space, as already provided by JPF, with colouring the states according to their labelling.

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Security

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Support

jpf-label has a low active ecosystem.

It has 3 star(s) with 1 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

jpf-label has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of jpf-label is current.

Quality

jpf-label has no bugs reported.

Security

jpf-label has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

jpf-label is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

jpf-label 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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Writes the graph to the output
Generate a graph dump of the graph
Returns the colour scheme for the given label
Invoked when an instruction is executed
Adds the given labels to the current state
Return all the state labels
Returns the value of a local variable
Return the labels for the state
Returns the value of the given integer
Writes the labels to output
Enumerates the labels
Return the labels for the search
Creates a hashCode of the name
Main method
Break the transition after an instruction
Label a state according to the state
Attempts to break the scope after the given instruction instruction
Returns the labels of the instruction after the given instruction
Returns the labels that the method is locked
Returns the labels that the method is synchronized
Compares this label with the given label
Returns the labels of an instruction after the given instruction
Get the value before the instruction
Called before instruction is executed
Gets the value of a property
Returns the labels of the given instruction

Get all kandi verified functions for this library.

jpf-label Key Features

No Key Features are available at this moment for jpf-label.

jpf-label Examples and Code Snippets

No Code Snippets are available at this moment for jpf-label.

Community Discussions

Trending Discussions on Data Labeling

How can I do this split process in Python?

Replacing a character with a space and dividing the string into two words in R

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

QUESTION

How can I do this split process in Python?

Asked 2021-Dec-30 at 14:06

I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

What I've done so far is make this representation with the same enumerator class.

A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

...

ANSWER

Answered 2021-Dec-30 at 13:57

Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

Source https://stackoverflow.com/questions/70532286

QUESTION

Replacing a character with a space and dividing the string into two words in R

Asked 2020-Nov-18 at 07:32

I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

i have this:

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ANSWER

Answered 2020-Nov-16 at 07:24

Try something like:

Source https://stackoverflow.com/questions/64853962

QUESTION

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

Asked 2020-Oct-28 at 20:31

Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

...

ANSWER

Answered 2020-Oct-27 at 22:39

Is the data behind virtual network by any chance?

Source https://stackoverflow.com/questions/64546521

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

Vulnerabilities

No vulnerabilities reported

Install jpf-label

You can download it from GitHub.
You can use jpf-label 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 jpf-label 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 .

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 .

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