Changelog

This changelog only contains changes from the first pypi release (0.5.4.3) onwards.

Latest Changes: - 1.5.2.dev0 - 2024-11-18 - 1.5.1 - 2024-11-09

• Future proofing for Python 3.14

• Support for Python 3.13

• Allow access to default methods implemented in interfaces when using @JImplements.

• Added support for typing JArray (Java type only), e.g. JArray[java.lang.Object] "JArray[java.lang.Object]"

• Fixed uncaught exception while setting traceback causing issues in Python 3.11/3.12.

• Use PEP-518 and PEP-660 configuration for the package, allowing editable and configurable builds using modern Python packaging tooling. Where before python setup.py --enable-tracing develop, now can be done with pip install --editable ./ --config-setting="--install-option=--enable-tracing". The old setup.py usage remains, but is discouraged, and the arguments are now passed after the command (previously they were specified before).

• Use PEP-518 configuration for the package, allowing configurable builds using more up-to-date Python packaging tooling. For editable installs, python setup.py --enable-tracing develop must now be done with python setup.py develop --enable-tracing.

• Update for tests for numpy 2.0.

• Support of np.float16 conversion with arrays.

• Fixed a problem that caused dir(jpype.JPackage("mypackage")) to fail if the class path contained non-ascii characters. See issue #1194.

• Fixed BufferOverflowException in JUnpickler when decoding multiple Java objects.

• 1.5.0 - 2023-04-03

  • Support for Python 3.12

  • Switched __eq__ and __ne__ operator to use equals rather than compareTo for comparable objects to avoid exception when comparing object of different types.

  • Fixed segmentation fault when comparing Java Comparable to primitives.

  • Java exceptions that occur in inequality comparisons now map to Python TypeError.

• 1.4.2_dev0 - 2022-10-26

  • Fixed crash when calling subscript on JArray.

  • Fixed direct byte buffers not reporting nbytes correctly when cast to memoryview.

  • Expand the defintion for Functional interface to include classes without FunctionInterface annotation.

  • Add additional matching level for derived types to resolve ambiguities when a derived type is used in place of base class when determining the method overload. This will resolve some previous ambiguities between methods.

• 1.4.1 - 2022-10-26

  • Fixed issue with startJVM changing locale settings.

  • Changes to support Python 3.11

  • Fix truncation of strings on null when using convert strings.

  • Replaced distutil with packaging

• 1.4.0 - 2022-05-14

  • Support for all different buffer type conversions.

    • Improved buffer transfers to numpy as guaranteed to match Java types. However, exact dtype for conversions is os/numpy version dependent.

    • Support for byte order channels on buffer transfers.

    • Byte size for buffers now fixed to Java definitions.

    • When directly accessing Java arrays using memory view, Python requires a cast from buffers. Required because Python does not support memory view alterations on non-native sizes.

  • Fix crash when comparing JChar.

    • Order handling for numerical operations with JChar fixed.

  • Improved matching for Java functors based on parameter count.

  • Dropped support for Python 3.5 and 3.6

  • dbapi2 handles drivers that don’t support autocommit.

  • Fixed issue when Java classes with dunder methods such as __del__ caused conflicts in Python type system. Java method which match dunder patterns are longer translated to Python.

  • Fix issue with numpy arrays with no dimensions resulting in crash.

  • Support for user defined conversions for java.lang.Class and array types.

  • Fixed issue with ssize_t on Windows for Python 3.10.

• 1.3.0 - 2021-05-19

  • Fixes for memory issues found when upgrading to Python 3.10 beta.

  • Add additional diagnositics for importing of non-public class.

  • Fixed issue with classes with unsatified dependencies leading to a crash on windows.

  • Fixed a bug with arrays created using the short cut. The wrong type was being returned.

• 1.2.1 - 2021-01-02

  • Missing stub files added.

  • Python 3.9 issues are resolved on Windows.

  • JPype scans jar files and rebuilding missing directories to allow imports from stripped and obfuscated jar files.

• 1.2.0 - 2020-11-29

  • Added builds for Python 3.9. Python 3.9 on Windows is currently failing due to issue in Python.

  • Fixed bug when importing from multi-release jars. The directory was being truncated to only those classes in the overlay.

  • addClassPath can add jar files after the JVM is started. The default loader for JPype class is org.jpype.classloader.DynamicClassLoader.

  • Build support of z/OS added.

  • Bug causing ambiguity between primitives and variadic arguments in method resolution was corrected.

  • Boolean was inadvertently left out of method resolution. boolean now properly matched with boxed types.

  • Support for PyInstaller was added.

• 1.1.2 - 2020-10-23

  • Linux binaries are now stripped for size.

  • Add importlib.util to address instability in Python importlib boot process. Certain versions of Python such as 3.9 appear to not properly load this module resulting in unexpected errors during startJVM.

• 1.1.1 - 2020-10-21

  • Fixed packaging problem on linux.

• 1.1.0 - 2020-10-13

  • Correct bug resulting in reporting ambiguous overloads when resolving methods with variadic arguments.

  • Ctrl+C behavior is switchable with interrupt flag to startJVM. If True, process will halt on Ctrl-C. If False, the process will transfer control to Python rather than halting. If not specified JPype will assume false if Python is started as an interactive shell.

  • Fixed crash with Ctrl+C when multiple exceptions were generated.

  • Removed extraneous exception when calling Ctrl+C before Java code is executed for methods and fields.

  • Fixed memory leak with string cache.

  • Fixed crash when manually creating wrappers for anonymous classes.

  • Fixed reference count problem in stackframes used for exceptions.

  • Errors report *static* when the matching with a static method so that it is clear when a member method was called statically.

  • java.lang.String slices function like Python string slice.

  • Java packages now operate as normal Python modules. Removed restrictions regarding setattr. All package instances for the same package name are shared so that functionality added to one instance is shared wiht all instances.

• 1.0.2 - 2020-07-27

  • The wrapper for Throwable was getting the wrapper for Object rather than the expected wrapper resulting in odd conversions from Python classes.

  • Typos within the import system resulting in “jname” not found corrected.

  • ^C propogates to a KeyboardInterrupt properly.

  • Added cache to the method dispatch to bypass resolution of overloads. This reduces the cost of method resolution significantly especially if the same overload is hit repeatedly such as during loop operations.

  • Improved speed on transfer of lists, tuples, buffers to arrays of Java primitives by a factor of 4 to 100 depending on the data type. The conversion uses optimized path for memory buffers, rather than the Sequence API. When a Python buffer is encountered only the first element is checked for conversion as Python buffers are homogeneous.

  • Corrected symbol problem with Python 3.5.3. PySlice_Unpack was introduced in a later patch release and should not have been used.

  • shutdown The behavior log entry for changes on shutdown were lost in the 1.0 release. JPype now calls the JVM shutdown routine which tries to gracefully exit when shutdown is called. This results in several changes in behavior. Non daemon threads can now hold open the JVM until they have completed. Proxy calls will hold the shutdown until the call is completed but will receive an interrupt message. Files now close properly and will flush if the threads properly handle the exception. Resource clean up hooks and finalizers are executed. AtExit hooks in the JVM are called as spawned threads. Automatic attachment of threads by use of the JVM from Python are done as daemon but can be reattached as user threads on demand. Buggy code that fails to properly handle thread clean up will likely hang on shutdown. Additional documentation is located in the user guide.

  • A bug was reported with numpy.linalg.inv resulting in crashes. This was traced to an interaction with threading between the JVM and some compilations of numpy. The workaround appears to be calling numpy.linalg.inv prior to starting the JVM.

• 1.0.1 - 2020-07-16

  • Workarounds for Python 3.8.4 release. Python altered logic regarding the use of __setattr__ for object and type, preventing it from being used to alter derived classes. Also the checking for errors was delegated from the __setattr__ method so exception types on some sanity checks needed to be updated accordingly.

• 1.0.0 - 2020-07-12

  • JChar is supported as a return type, thus rather than returning a string where a JChar is expected. For compatiblity JChar is derived from str and implements implicit conversion to an int when used in numeric operations. Therefore, it passes the return, argument, and field contracts. But that means it is no longer considered a numerical type to Python and thus isinstance(c, int) is False. This is consistent with the Java type conversion rules.

  • Introduced Python operator for Java casting. In Java to cast to a type you would use (Type) obj, but Python does not support anything similar. Therefore, we are enlisting the rarely used matmul operator as to allow an easy way to cast an object to a Java type. When a cast to a Java type is required, use Type@obj or (Type)@obj.

  • Introduced array notation to create Java arrays. In earlier versions, JArray factory was required to make a new array type. But this is tedious to read. In Java the notation would be Type[] to declare a type or new Type[sz] to make a new array. Python does not directly support this notation, but it does allow for unspecifed array sizes using a slice. All Java class types support Type[sz] to create an array of a fixed size and Type[:] to create an array type which can be intiated later. This call be applied to multiple dimensions to create fixed sized arrays Type[s1][s2][s3] to declare multidimension array types Type[:][:][:] or to create a new multi dimensional array with unspecified dimensions Type[sz][:][:]. Applying a slice with limits to a class is unsupported.

  • Java classes annotated with @FunctionalInterface can be converted from any Python object that implements __call__. This allows functions, lambdas, and class constructors to be used whereever Java accepts a lambda.

  • Support for Protocol on type conversions. Attribute based conversions deprecated in favor of Protocol. Internal API for stubbing.

  • Deprecated class and functions were removed. JIterator, use of JException as a factory, get_default_jvm_path, jpype.reflect module.

  • Default for starting JVM is now to return Java strings rather than convert.

  • Python deprecated __int__ so implicit conversions between float and integer types will produce a TypeError.

  • Use of JException is discouraged. To catch all exceptions or test if an object is a Java exception type, use java.lang.Throwable.

  • Chained Java exception causes are now reflected in the Python stackframes.

  • Use of JString is discouraged. To create a Java string or test if an object is a Java string type, use java.lang.String.

  • Updated the repr methods on Java classes.

  • java.util.List completes the contract for collections.abc.Sequence and collections.abc.MutableSequence.

  • java.util.Collection completes the contract for collections.abc.Collection.

  • Java classes are closed and will raise TypeError if extended in Python.

  • Handles Control-C gracefully. Previous versions crash whenever Java handles the Control-C signal as they would shutdown Java during a call. Now JPype will produce a InterruptedException when returning from Java. Control-C will not break out of large Java procedures as currently implemented as Java does not have a specific provision for this.

• 0.7.5 - 2020-05-10

  • Updated docs.

  • Fix corrupt conda release.

• 0.7.4 - 4-28-2020

  • Corrected a resource leak in arrays that affects array initialization, and variable argument methods.

  • Upgraded diagnostic tracing and JNI checks to prevent future resource leaks.

• 0.7.3 - 4-17-2020

  • Replaced type management system, memory management for internal classes is now completely in Java to allow enhancements for buffer support and revised type conversion system.

  • Python module jpype.reflect will be removed in the next release.

  • jpype.startJVM option convertStrings default will become False in the next release.

  • Undocumented feature of using a Python type in JObject(obj, type=tp) is deprecated to support casting to Python wrapper types in Java in a future release.

  • Dropped support for Cygwin platform.

  • JFloat properly follows Java rules for conversion from JDouble. Floats outside of range map to inf and -inf.

  • java.lang.Number converts automatically from Python and Java numbers. Java primitive types will cast to their proper box type when passed to methods and fields taking Number.

  • java.lang.Object and java.lang.Number box signed, sized numpy types (int8, int16, int32, int64, float32, float64) to the Java boxed type with the same size automatically. Architecture dependent numpy types map to Long or Double like other Python types.

  • Explicit casting using primitives such as JInt will not produce an OverflowError. Implicit casting from Python types such as int or float will.

  • Returns for number type primitives will retain their return type information. These are derived from Python int and float types thus no change in behavior unless chaining from a Java methods which is not allowed in Java without a cast. JBoolean and JChar still produce Python types only.

  • Add support for direct conversion of multi-dimensional primitive arrays with JArray.of(array, [dtype=type])

  • java.nio.Buffer derived objects can convert to memoryview if they are direct. They can be converted to NumPy arrays with numpy.asarray(memoryview(obj)).

  • Proxies created with @JImplements properly implement toString, hashCode, and equals.

  • Proxies pass Python exceptions properly rather converting to java.lang.RuntimeException

  • JProxy.unwrap() will return the original instance object for proxies created with JProxy. Otherwise will return the proxy.

  • JProxy instances created with the convert=True argument will automatic unwrap when passed from Java to Python.

  • JProxy only creates one copy of the invocation handler per garbage collection rather than once per use. Thus proxy objects placed in memory containers will have the same object id so long as Java holds on to it.

  • jpype.imports and JPackage verify existance of packages and classes. Imports from Java packages support wildcards.

  • Bug with JPackage that imported private and protected classes inappropriately has been corrected. Protected classes can still be imported using JClass.

  • Undocumented feature of using a Python type in JObject(obj, type=tp) is deprecated to support casting to Python wrapper types in Java in a

  • @JImplements with keyword argument deferred can be started prior to starting the JVM. Methods are checked at first object creation.

  • Fix bug that was causing java.lang.Comparable, byte[], and char[] to be unhashable.

  • Fix bug causing segfault when throwing Exceptions which lack a default constructor.

  • Fixed segfault when methods called by proxy have incorrect number of arguments.

  • Fixed stack overflow crash on iterating ImmutableList

  • java.util.Map conforms to Python collections.abc.Mapping API.

  • java.lang.ArrayIndexOutOfBoundsException can be caught with IndexError for consistency with Python exception usage.

  • java.lang.NullPointerException can be caught with ValueError for consistency with Python exception usage.

  • Replaced type conversion system, type conversions test conversion once per type improving speed and increasing flexiblity.

  • User defined implicit conversions can be created with @JConversion decorator on Python function taking Java class and Python object. Converter function must produce a Java class instance.

  • pathlib.Path can be implicitly converted into java.lang.File and java.lang.Path.

  • datetime.datatime can implicitly convert to java.time.Instant.

  • dict and collections.abc.Mapping can convert to java.util.Map if all element are convertable to Java. Otherwise, TypeError is raised.

  • list and collections.abc.Sequence can convert to java.util.Collection if all elements are convertable to Java. Otherwise, TypeError is raised.

• 0.7.2 - 2-28-2020

  • C++ and Java exceptions hold the traceback as a Python exception cause. It is no longer necessary to call stacktrace() to retrieve the traceback information.

  • Speed for call return path has been improved by a factor of 3.

  • Multidimensional array buffer transfers increase speed transfers to numpy substantially (orders of magnitude). Multidimension primitive transfers are read-only copies produced inside the JVM with C contiguous layout.

  • All exposed internals have been replaced with CPython implementations thus symbols __javaclass__, __javavalue__, and __javaproxy__ have been removed. A dedicated Java slot has been added to all CPython types derived from _jpype class types. All private tables have been moved to CPython. Java types must derive from the metaclass JClass which enforces type slots. Mixins of Python base classes is not permitted. Objects, Proxies, Exceptions, Numbers, and Arrays derive directly from internal CPython implementations. See the Buffers and NumPy removal for details of all changes.

  • Internal improvements to tracing and exception handling.

  • Memory leak in convertToDirectBuffer has been corrected.

  = Arrays slices are now a view which support writeback to the original

  like numpy array. Array slices are no longer covariant returns of list or numpy.array depending on the build procedure.

  • Array slices support steps for both set and get.

  • Arrays now implement __reversed__

  • Incorrect mapping of floats between 0 and 1 to False in setting Java boolean array members is corrected.

  • Java arrays now properly assert range checks when setting elements from sequences.

  • Java arrays support memoryview API and no longer required NumPy to transfer buffer contents.

  • Numpy is no longer an optional extra. Memory transfer to NumPy is available without compiling for numpy support.

  • JInterface is now a meta class. Use isinstance(cls, JInterface) to test for interfaces.

  • Fixed memory leak in Proxy invocation

  • Fixed bug with Proxy not converting when passed as an argument to Python functions during execution of proxies

  • Missing tlds “mil”, “net”, and “edu” added to default imports.

  • Enhanced error reporting for UnsupportedClassVersion during startup.

  • Corrections for collection methods to improve complience with Python containers.

    • java.util.Map gives KeyError if the item is not found. Values that are null still return None as expected. Use get() if empty keys are to be treated as None.

    • java.util.Collection __delitem__ was removed as it overloads oddly between remove(Object) and remove(int) on Lists. Use Java remove() method to access the original Java behavior, but a cast is strongly recommended to to handle the overload.

  • java.lang.IndexOutOfBoundsException can be caught with IndexError for complience when accessing java.util.List elements.

• 0.7.1 - 12-16-2019

  • Updated the keyword safe list for Python 3.

  • Automatic conversion of CharSequence from Python strings.

  • java.lang.AutoCloseable supports Python “with” statement.

  • Hash codes for boxed types work properly in Python 3 and can be used as dictionary keys again (same as JPype 0.6). Java arrays have working hash codes, but as they are mutable should not be used as dictionary keys. java.lang.Character, java.lang.Float, and java.lang.Double all work as dictionary keys, but due to differences in the hashing algorithm do not index to the same location as Python native types and thus may cause issues when used as dictionary keys.

  • Updated getJVMVersion to work with JDK 9+.

  • Added support for pickling of Java objects using optional module jpype.pickle

  • Fixed incorrect string conversion on exceptions. str() was incorrectly returning getMessage rather than toString.

  • Fixed an issue with JDK 12 regarding calling methods with reflection.

  • Removed limitations having to do with CallerSensitive methods. Methods affected are listed in Caller Sensitive Methods. Caller sensitive methods now receive an internal JPype class as the caller

  • Fixed segfault when converting null elements while accessing a slice from a Java object array.

  • PyJPMethod now supports the FunctionType API.

  • Tab completion with Jedi is supported. Jedi is the engine behind tab completion in many popular editors and shells such as IPython. Jedi version 0.14.1 is required for tab completion as earlier versions did not support annotations on compiled classes. Tab completion with older versions requires use of the IPython greedy method.

  • JProxy objects now are returned from Java as the Python objects that originate from. Older style proxy classes return the inst or dict. New style return the proxy class instance. Thus proxy classes can be stored on generic Java containers and retrieved as Python objects.

• 0.7.0 - 2019

  • Doc strings are generated for classes and methods.

  • Complete rewrite of the core module code to deal unattached threads, improved hardening, and member management. Massive number of internal bugs were identified during the rewrite and corrected. See the JPype 0.7 Core ChangeLog for details of all changes.

  • API breakage:

    • Java strings conversion behavior has changed. The previous behavior was switchable, but only the default convert to Python was working. Converting to automatically lead to problems in which is was impossible to work with classes like StringBuilder in Java. To convert a Java string use str(). Therefore, string conversion is currently selected by a switch at the start of the JVM. The default shall be False starting in JPype 0.8. New code is encouraged to use the future default of False. For the transition period the default will be True with a warning if not policy was selected to encourage developers to pick the string conversion policy that best applies to their application.

    • Java exceptions are now derived from Python exception. The old wrapper types have been removed. Catch the exception with the actual Java exception type rather than JException.

    • Undocumented exceptions issued from within JPype have been mapped to the corresponding Python exception types such as TypeError and ValueError appropriately. Code catching exceptions from previous versions should be checked to make sure all exception paths are being handled.

    • Undocumented property import of Java bean pattern get/set accessors was removed as the default. It is available with import jpype.beans, but its use is discouraged.

  • API rework:

    • JPype factory methods now act as base classes for dynamic class trees.

    • Static fields and methods are now available in object instances.

    • Inner classes are now imported with the parent class.

    • jpype.imports works with Python 2.7.

    • Proxies and customizers now use decorators rather than exposing internal classes. Existing JProxy code still works.

    • Decorator style proxies use @JImplements and @JOverload to create proxies from regular classes.

    • Decorator style customizers use @JImplementionFor

    • Module jpype.types was introduced containing only the Java type wrappers. Use from jpype.types import * to pull in this subset of JPype.

  • synchronized using the Python with statement now works for locking of Java objects.

  • Previous bug in initialization of arrays from list has been corrected.

  • Added extra verbiage to the to the raised exception when an overloaded method could not be matched. It now prints a list of all possible method signatures.

  • The following is now DEPRECATED

    • jpype.reflect.* - All class information is available with .class_

    • Unncessary JException from string now issues a warning.

  • The followind is now REMOVED

    • Python thread option for JPypeReferenceQueue. References are always handled with with the Java cleanup routine. The undocumented setUsePythonThreadForDaemon() has been removed.

    • Undocumented switch to change strings from automatic to manual conversion has been removed.

    • Artifical base classes JavaClass and JavaObject have been removed.

    • Undocumented old style customizers have been removed.

    • Many internal jpype symbols have been removed from the namespace to prevent leakage of symbols on imports.

  • promoted `–install-option` to a `–global-option` as it applies to the build as well as install.

  • Added `–enable-tracing` to setup.py to allow for compiling with tracing for debugging.

  • Ant is required to build jpype from source, use --ant= with setup.py to direct to a specific ant.

• 0.6.3 - 2018-04-03

  • Java reference counting has been converted to use JNI PushLocalFrame/PopLocalFrame. Several resource leaks were removed.

  • java.lang.Class<>.forName() will now return the java.lang.Class. Work arounds for requiring the class loader are no longer needed. Customizers now support customization of static members.

  • Support of java.lang.Class<>

    • java.lang.Object().getClass() on Java objects returns a java.lang.Class rather than the Python class

    • java.lang.Object().__class__ on Java objects returns the python class as do all python objects

    • java.lang.Object.class_ maps to the java statement java.lang.Object.class and returns the java.lang.Class<java.lang.Object>

    • java.lang.Class supports reflection methods

    • private fields and methods can be accessed via reflection

    • annotations are avaiable via reflection

  • Java objects and arrays will not accept setattr unless the attribute corresponds to a java method or field whith the exception of private attributes that begin with underscore.

  • Added support for automatic conversion of boxed types.

    • Boxed types automatically convert to python primitives.

    • Boxed types automatically convert to java primitives when resolving functions.

    • Functions taking boxed or primitives still resolve based on closest match.

  • Python integer primitives will implicitly match java float and double as per Java specification.

  • Added support for try with resources for java.lang.Closeable. Use python “with MyJavaResource() as resource:” statement to automatically close a resource at the end of a block.

• 0.6.2 - 2017-01-13

  • Fix JVM location for OSX.

  • Fix a method overload bug.

  • Add support for synthetic methods

• 0.6.1 - 2015-08-05

  • Fix proxy with arguments issue.

  • Fix Python 3 support for Windows failing to import winreg.

  • Fix non matching overloads on iterating java collections.

• 0.6.0 - 2015-04-13

  • Python3 support.

  • Fix OutOfMemoryError.

• 0.5.7 - 2014-10-29

  • 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 - 2014-09-27

  • 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 - 2014-08-12

  • Fix: compile issue, if numpy is not available (NPY_BOOL n/a). Closes #77

• 0.5.5.3 - 2014-08-11

  • 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 - 2014-04-29

  • Fix: array setter memory leak (ISSUE: #64)

• 0.5.5.1 - 2014-04-11

  • Fix: setup.py now runs under MacOSX with Python 2.6 (referred to missing subprocess function)

• 0.5.5 - 2014-04-11

  • 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

  • Added support for OSX 10.9 Mavericks by @rmangino (#16)

• 0.5.4.4 - 2013-08-10

  • Rewritten Java Home directory Search by @marsam (#13, #12 and #7)

  • Stylistic cleanups of setup.py

• 0.5.4.3 - 2013-07-27

  • Initial pypi release with most fixes for easier installation