A Python to Java bridge.
Project description
JPype
JPype is an effort to allow python programs full access to java class libraries.
Find the documentation at Read the Docs. Current development is done in the github project. The work on this project began on Sourceforge.
Changelog
This changelog only contains changes from the first pypi release (0.5.4.3) onwards.
0.5.7
No JDK/JRE is required to build anymore due to provided jni.h. To override this, one needs to set a JAVA_HOME pointing to a JDK during setup.
better support for various platforms and compilers (MinGW, Cygwin, Windows)
0.5.6
Note: In this release we returned to the three point number versioning scheme.
Fix #63: ‘property’ object has no attribute ‘isBeanMutator’
Fix #70: python setup.py develop does now work as expected
Fix #79, Fix #85: missing declaration of ‘uint’
Fix #80: opt out NumPy code dependency by ‘–disable-numpy’ parameter to setup. To opt out with pip append –install-option=”–disable-numpy”.
Use JVMFinder method of @tcalmant to locate a Java runtime
0.5.5.4
Fix: compile issue, if numpy is not available (NPY_BOOL n/a). Closes #77
0.5.5.3
Optional support for NumPy arrays in handling of Java arrays. Both set and get slice operators are supported. Speed improvement of factor 10 for setting and factor 6 for getting. The returned arrays are typed with the matching NumPy type.
Fix: add missing wrapper type ‘JShort’
Fix: Conversion check for unsigned types did not work in array setters (tautological compare)
0.5.5.2
Fix: array setter memory leak (ISSUE: #64)
0.5.5.1
Fix: setup.py now runs under MacOSX with Python 2.6 (referred to missing subprocess function)
0.5.5
Note that this release is not compatible with Python 2.5 anymore!
Added AHL changes
replaced Python set type usage with new 2.6.x and higher
fixed broken Python slicing semantics on JArray objects
fixed a memory leak in the JVM when passing Python lists to JArray constructors
prevent ctrl+c seg faulting
corrected new[]/delete pairs to stop valgrind complaining
ship basic PyMemoryView implementation (based on numpy’s) for Python 2.6 compatibility
Fast sliced access for primitive datatype arrays (factor of 10)
Use setter for Java bean property assignment even if not having a getter by @baztian
Fix public methods not being accessible if a Java bean property with the same name exists by @baztian (Warning: In rare cases this change is incompatibile to previous releases. If you are accessing a bean property without using the get/set method and the bean has a public method with the property’s name you have to change the code to use the get/set methods.)
Make jpype.JException catch exceptions from subclasses by @baztian
Make more complex overloaded Java methods accessible (fixes https://sourceforge.net/p/jpype/bugs/69/) by @baztian and anonymous
Some minor improvements inferring unnecessary copies in extension code
Some JNI cleanups related to memory
Fix memory leak in array setters
Fix memory leak in typemanager
Add userguide from sourceforge project by @baztian
0.5.4.5 (2013-08-25 12:12)
Added support for OSX 10.9 Mavericks by @rmangino (#16)
0.5.4.4 (2013-08-10 19:30)
Rewritten Java Home directory Search by @marsam (#13, #12 and #7)
Stylistic cleanups of setup.py
0.5.4.3 (2013-07-27 14:00)
Initial pypi release with most fixes for easier installation
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