Changelog¶
This changelog only contains changes from the first pypi release (0.5.4.3) onwards.
Next version - unreleased
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
optionconvertStrings
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 fromJDouble
. 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
andjava.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
andfloat
types thus no change in behavior unless chaining from a Java methods which is not allowed in Java without a cast.JBoolean
andJChar
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 withnumpy.asarray(memoryview(obj))
.- Proxies created with
@JImplements
properly implementtoString
,hashCode
, andequals
. - 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.
@JImplements
with keyword argumentdeferred
can be started prior to starting the JVM. Methods are checked at first object creation.- Fix bug that was causing
java.lang.Comparable
,byte[]
, andchar[]
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 Pythoncollections.abc.Mapping
API.java.lang.ArrayIndexOutOfBoundsException
can be caught withIndexError
for consistency with Python exception usage.java.lang.NullPointerException
can be caught withValueError
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 intojava.lang.File
andjava.lang.Path
.datetime.datatime
can implicitly convert tojava.time.Instant
.dict
andcollections.abc.Mapping
can convert tojava.util.Map
if all element are convertable to Java. Otherwise,TypeError
is raised.list
andcollections.abc.Sequence
can convert tojava.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 returnNone
as expected. Useget()
if empty keys are to be treated asNone
. - java.util.Collection
__delitem__
was removed as it overloads oddly betweenremove(Object)
andremove(int)
on Lists. Use Javaremove()
method to access the original Java behavior, but a cast is strongly recommended to to handle the overload.
- java.util.Map gives KeyError if the item is not found. Values that
are
- 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
andValueError
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.
- 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
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. Usefrom jpype.types import *
to pull in this subset of JPype.
synchronized
using the Pythonwith
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 undocumentedsetUsePythonThreadForDaemon()
has been removed. - Undocumented switch to change strings from automatic to manual conversion has been removed.
- Artifical base classes
JavaClass
andJavaObject
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.
- Python thread option for
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 classjava.lang.Object().__class__
on Java objects returns the python class as do all python objectsjava.lang.Object.class_
maps to the java statementjava.lang.Object.class
and returns thejava.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