JPype 0.7.3

This is a maintenance release correcting a number of issues from NumPy removal. Yet another stepping stone on the way to 1.0.

• 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.

• @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.