JPython | python interpreter with Java | Interpreter library

by xia-st Java Version: Current License: GPL-2.0

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | JPython Summary

JPython is a Java library typically used in Utilities, Interpreter applications. JPython has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However JPython build file is not available. You can download it from GitHub.

python interpreter by Java.

Support

Quality

Security

License

Reuse

Support

JPython has a low active ecosystem.

It has 16 star(s) with 6 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of JPython is current.

Quality

JPython has 0 bugs and 0 code smells.

Security

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

JPython code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

JPython is licensed under the GPL-2.0 License. This license is Strong Copyleft.

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

Reuse

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

JPython has no build file. You will be need to create the build yourself to build the component from source.

JPython saves you 6215 person hours of effort in developing the same functionality from scratch.

It has 12946 lines of code, 780 functions and 128 files.

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

Top functions reviewed by kandi - BETA

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

Test program
Returns a function AST for the arguments
Returns the AST for the given node
Compile an expression for a call
Main entry point
Modify the current state to DFA
Connects child nodes
Returns the corresponding lexic state object
Add accelerators
Fixes a state
Prints a subtree of the tree

Get all kandi verified functions for this library.

JPython Key Features

No Key Features are available at this moment for JPython.

JPython Examples and Code Snippets

No Code Snippets are available at this moment for JPython.

Community Discussions

Trending Discussions on JPython

RecursionError: maximum recursion depth exceeded while pickling an object

How to convert Python implementation of Dijsktra algorithm based on "None" distances to "Infinity" distance

Why is reference assignment atomic in Java?

Python: rearranging an array of strings

Is LIBGDX Slower in python than Java

QUESTION

RecursionError: maximum recursion depth exceeded while pickling an object

Asked 2018-Apr-27 at 13:24

I am getting RecusionError in below program, I am not able to figure out why. Request help from experts.

calling method foo of Base class from Derived class results in RecusionError

...

ANSWER

Answered 2018-Apr-27 at 13:24

When you do class Derived(BaseKill) the class Derived() now "inherrits" the methods from class BaseKill.

Including foo() and bar().

However you have bar() defined in class Derived() which takes precedent over the "inherrited bar()"

Basically this is similar as doing the following

Source https://stackoverflow.com/questions/50062305

QUESTION

How to convert Python implementation of Dijsktra algorithm based on "None" distances to "Infinity" distance

Asked 2018-Mar-26 at 08:37

There are two Dijkstra algorithms (methods) that I implemented in Python the first method I took from this http://jpython.blogspot.com/2015/10/dijkstra-algorithm.html source, the second is created by me and it more fits to C++ style (with checkings and relaxation) - the method that I prefer. The first Dijkstra method works, but the second dijkstra2 always returns 1e9. What's wrong with the second method.

...

ANSWER

Answered 2018-Mar-26 at 08:37

You have 3 problems in your code:

As already pointed out by chrisz, you need to add v to your queue, otherwise you'll do only one pass in the loop.
Since the values in dist are updated when putting the nodes in queue, not when popping them, you need to change the source's distance right at the beginning
The conversion between 1e9 and -1 at the end is not performed because you need to use x==1e9 instead of x is 1e9.

You can check in any python console that:

Source https://stackoverflow.com/questions/48108260

QUESTION

Why is reference assignment atomic in Java?

Asked 2017-May-31 at 19:26

As far as I know reference assignment is atomic in a 64 bit JVM. Now, I assume the jvm doesn't use atomic pointers internally to model this, since otherwise there would be no need for Atomic References. So my questions are:

Is atomic reference assignment in the "specs" of java/Scala and guaranteed to happen or is it just a happy coincidence that it is that way most times ?

Is atomic reference assignment implied for any language that compiles to the JVM's bytecode (e.g. clojure, Groovy, JRuby, JPython...etc) ?

How can reference assignment be atomic without using an atomic pointer internally ?

...

ANSWER

Answered 2017-May-31 at 12:07

Atomic reference assignment is in the specs.

Writes to and reads of references are always atomic, regardless of whether they are implemented as 32 or 64 bit values.

Quoted from JSR-133: Java(TM) Memory Model and Thread Specification, section 12 Non-atomic Treatment of double and long, http://www.cs.umd.edu/~pugh/java/memoryModel/jsr133.pdf.

Source https://stackoverflow.com/questions/44283378

QUESTION

Python: rearranging an array of strings

Asked 2017-Mar-09 at 19:42

I'm trying to rearrange the following array of strings:

...

ANSWER

Answered 2017-Mar-09 at 18:14

The snippet of code you provided cannot work because of variable names, so I won't try to explain you what's wrong with it further.

That said, those problems can be easily done in one-liners using list comprehensions:

Source https://stackoverflow.com/questions/42702536

QUESTION

Is LIBGDX Slower in python than Java

Asked 2017-Jan-09 at 09:27

I've been developing games in Python & Pygame for a while now, Though one thing that's been in mind is my dislike to pygame's performance and lack of tools and libraries.

I've always known LibGDX for it's popularity and how much I've seen it on this site. Though recently I found out that it supports JVM Languages so that I can use it with python under the Jpython interpreter.

Since I have more knowledge on using python, I'm planning on learning LibGDX for it. Though I already know a decent amount of Java and it wouldn't be an incredibly extra amount of work If I we're to just finish learning more Java.

Though I do prefer Python for how much I've been working in it.

What I'm asking

I was wondering if there was any downsides to using LibGDX In python (JPython) instead of it's main and popular language Java. One that comes to mind are performance issues, would it be slower to develop with LibGDX in Jython than in Java? Another that comes to mind would be cross-platform exportation, are you unable to export to android or IOS using Python(Jython)?

Anybody really knowledge on LibGDX or Jython & LibGDX be able to answer this?

...

ANSWER

Answered 2017-Jan-09 at 09:27

You might have a hard time finding examples of Jython + LibGDX. I would guess it would also be hard to find many people here on SO that have any experience with Jython + LibGDX.

Another issue is cross platform development. Jython might use JVM, but android does not give you JVM. I don't know how well Jython works with Dalvik. If I remember correctly LibGDX uses Intel Multi-OS Engine for iOS. I have no idea how that works with Jython. In any case, getting help will be hard.

When it comes to performance of Jython + LibGDX vs. java + LibGDX I don't think there is a big difference. On desktop that is, it might not even work on other platforms.

If you want to develop for desktop only, don't need help and is fine with only seeing java examples and tutorials then I would say go for it. In any other case go with java. The time and energy you would need learning Jython + LibGDX would be much better spend learning java + LibGDX.

Source https://stackoverflow.com/questions/41538808

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

Vulnerabilities

No vulnerabilities reported

Install JPython

You can download it from GitHub.
You can use JPython 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 JPython 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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