def init_jvm(java_home=None,
jvm_dll=None,
jvm_maxmem=None,
jvm_classpath=None,
jvm_properties=None,
jvm_options=None,
config_file=None,
config=None):
"""
Creates a configured Java virtual machine which will be used by jpy.
:param java_home: The Java JRE or JDK home directory used to search JVM shared library, if 'jvm_dll' is omitted.
:param jvm_dll: The JVM shared library file. My be inferred from 'java_home'.
:param jvm_maxmem: The JVM maximum heap space, e.g. '400M', '8G'. Refer to the java executable '-Xmx' option.
:param jvm_classpath: The JVM search paths for Java class files. Separated by colons (Unix) or semicolons
(Windows). Refer to the java executable '-cp' option.
:param jvm_properties: A dictionary of key -> value pairs passed to the JVM as Java system properties.
Refer to the java executable '-D' option.
:param jvm_options: A list of extra options for the JVM. Refer to the java executable options.
:param config_file: Extra configuration file (e.g. 'jpyconfig.py') to be loaded if 'config' parameter is omitted.
:param config: An optional default configuration object providing default attributes
for the 'jvm_maxmem', 'jvm_classpath', 'jvm_properties', 'jvm_options' parameters.
:return: a tuple (cdll, actual_jvm_options) on success, None otherwise.
"""
if not config:
config = _get_python_api_config(config_file=config_file)
cdll = preload_jvm_dll(jvm_dll_file=jvm_dll,
java_home_dir=java_home,
config_file=config_file,
config=config,
fail=False)
import jpy
if not jpy.has_jvm():
jvm_options = get_jvm_options(jvm_maxmem=jvm_maxmem,
jvm_classpath=jvm_classpath,
jvm_properties=jvm_properties,
jvm_options=jvm_options,
config=config)
logger.debug('Creating JVM with options %s' % repr(jvm_options))
jpy.create_jvm(options=jvm_options)
py_lib_initializer = jpy.get_type('org.jpy.PyLibInitializer')
py_lib_initializer.initPyLib(
_find_python_dll_file(fail=True),
_get_module_path('jpy', fail=True),
_get_module_path('jdl', fail=True)
)
else:
jvm_options = None
# print('jvm_dll =', jvm_dll)
# print('jvm_options =', jvm_options)
return cdll, jvm_options
def test_multiple_jpy_create_destroy_jvm(self): self.assertFalse(jpy.has_jvm()) jpy.create_jvm([]) self.assertTrue(jpy.has_jvm()) jpy.destroy_jvm() self.assertFalse(jpy.has_jvm()) jpy.create_jvm([]) self.assertTrue(jpy.has_jvm()) jpy.destroy_jvm() self.assertFalse(jpy.has_jvm())
def init_jvm(java_home=None,
jvm_dll=None,
jvm_maxmem=None,
jvm_classpath=None,
jvm_properties=None,
jvm_options=None,
config_file=None,
config=None):
"""
Creates a configured Java virtual machine which will be used by jpy.
:param java_home: The Java JRE or JDK home directory used to search JVM shared library, if 'jvm_dll' is omitted.
:param jvm_dll: The JVM shared library file. My be inferred from 'java_home'.
:param jvm_maxmem: The JVM maximum heap space, e.g. '400M', '8G'. Refer to the java executable '-Xmx' option.
:param jvm_classpath: The JVM search paths for Java class files. Separated by colons (Unix) or semicolons
(Windows). Refer to the java executable '-cp' option.
:param jvm_properties: A dictionary of key -> value pairs passed to the JVM as Java system properties.
Refer to the java executable '-D' option.
:param jvm_options: A list of extra options for the JVM. Refer to the java executable options.
:param config_file: Extra configuration file (e.g. 'jpyconfig.py') to be loaded if 'config' parameter is omitted.
:param config: An optional default configuration object providing default attributes
for the 'jvm_maxmem', 'jvm_classpath', 'jvm_properties', 'jvm_options' parameters.
:return: a tuple (cdll, actual_jvm_options) on success, None otherwise.
"""
if not config:
config = _get_python_api_config(config_file=config_file)
cdll = preload_jvm_dll(jvm_dll_file=jvm_dll,
java_home_dir=java_home,
config_file=config_file,
config=config,
fail=False)
import jpy
if not jpy.has_jvm():
jvm_options = get_jvm_options(jvm_maxmem=jvm_maxmem,
jvm_classpath=jvm_classpath,
jvm_properties=jvm_properties,
jvm_options=jvm_options,
config=config)
logging.debug('Creating JVM with options %s' % repr(jvm_options))
jpy.create_jvm(options=jvm_options)
else:
jvm_options = None
# print('jvm_dll =', jvm_dll)
# print('jvm_options =', jvm_options)
return cdll, jvm_options
'-Djava.class.path=' + os.pathsep.join(class_path),
'-Djava.library.path=' + os.pathsep.join(library_path),
'-Xmx' + max_mem
]
if config.has_option('DEFAULT', 'java_options'):
extra_options = config.get('DEFAULT', 'java_options')
options += extra_options.split('|')
return options
# Figure out if this module is called from a Java VM. If not, derive a list of Java VM options and create the Java VM.
called_from_java = jpy.has_jvm()
if not called_from_java:
jpy.create_jvm(options=_get_snap_jvm_options())
# Don't need these functions anymore
del _get_snap_jvm_options
del _get_snap_jvm_env
del _collect_snap_jvm_env
# noinspection PyUnusedLocal
def annotate_RasterDataNode_methods(type_name, method):
index = -1
if sys.version_info >= (
3,
0,
0,
def __init_subjective_logic_library(self, classpath: str):
jpy.create_jvm(['-Xmx512M', classpath])
self.SubjectiveOpinion = jpy.get_type(
'de.tum.i4.subjectivelogic.SubjectiveOpinion')
self.ArrayList = jpy.get_type('java.util.ArrayList')
import unittest
import jpy
jpy.create_jvm(options=['-Djava.class.path=target/test-classes', '-Xmx512M'])
class TestMethodReturnValues(unittest.TestCase):
def setUp(self):
self.Fixture = jpy.get_type('org.jpy.fixtures.MethodReturnValueTestFixture')
self.assertIsNotNone(self.Fixture)
self.Thing = jpy.get_type('org.jpy.fixtures.Thing')
self.assertIsNotNone(self.Thing)
def test_void(self):
fixture = self.Fixture()
self.assertEqual(fixture.getVoid(), None)
def test_primitive_values(self):
fixture = self.Fixture()
self.assertEqual(fixture.getValue_boolean(True), True)
self.assertEqual(fixture.getValue_byte(11), 11)
self.assertEqual(fixture.getValue_short(12), 12)
self.assertEqual(fixture.getValue_int(13), 13)
self.assertEqual(fixture.getValue_long(14), 14)
self.assertAlmostEqual(fixture.getValue_float(15.1), 15.1, places=5)
self.assertEqual(fixture.getValue_double(16.2), 16.2)
import unittest
import jpy
import time
import random
jpy.create_jvm(options=['-Xmx512M'])
class TestPerformance(unittest.TestCase):
def test_general_rt_perf(self):
Integer = jpy.get_type('java.lang.Integer')
String = jpy.get_type('java.lang.String')
File = jpy.get_type('java.io.File')
HashMap = jpy.get_type('java.util.HashMap')
# 1 million
N = 1000000
indexes = list(range(N))
random.shuffle(indexes)
t0 = time.time()
pairs = [(Integer(index), File('path')) for index in indexes]
t1 = time.time()
print('Integer + File object instantiation took', t1 - t0, 's for', N,
'calls, this is', 1000 * (t1 - t0) / N, 'ms per call')
map = HashMap()
t0 = time.time()
options = ['-Djava.awt.headless=true',
'-Djava.class.path=' + os.pathsep.join(class_path),
'-Djava.library.path=' + os.pathsep.join(library_path),
'-Xmx' + max_mem]
if config.has_option('DEFAULT', 'java_options'):
extra_options = config.get('DEFAULT', 'java_options')
options += extra_options.split('|')
return options
# Figure out if this module is called from a Java VM. If not, derive a list of Java VM options and create the Java VM.
called_from_java = jpy.has_jvm()
if not called_from_java:
jpy.create_jvm(options=_get_snap_jvm_options())
# Don't need these functions anymore
del _get_snap_jvm_options
del _get_snap_jvm_env
del _collect_snap_jvm_env
# noinspection PyUnusedLocal
def annotate_RasterDataNode_methods(type_name, method):
index = -1
if sys.version_info >= (3, 0, 0,):
arr_z_type_str = "<class '[Z'>"
arr_i_type_str = "<class '[I'>"
#!/usr/bin/env python3
# Demonstration script for jpy
from common import jar_path
import jpy
jpy.create_jvm(["-Djava.class.path=" + jar_path])
StringBuilder = jpy.get_type("java.lang.StringBuilder")
sb = StringBuilder()
sb.append("Demonstration of ")
sb.append("StringBuilder")
print(sb.toString())
Main = jpy.get_type("net.talvi.pythonjavabridgedemos.Main")
main = Main("Bob")
print(main.greet("Wotcha"))
import jpy
# Create a new JVM with the SL library on its classpath
jpy.create_jvm([
'-Xmx512M',
'-Djava.class.path=/home/ubuntu/Desktop/Aggregatio/subjective_logic/build/libs/subjective-logic-java-library-0.1.0.jar'
])
# Get a reference of the SubjectiveOpinion Java class through jpy bridge
SubjectiveOpinion = jpy.get_type('de.tum.i4.subjectivelogic.SubjectiveOpinion')
# Create two subjective opinions
so1 = SubjectiveOpinion(0.7, 0.00, 0.3, 0.50)
so2 = SubjectiveOpinion(0.55 - 1e-2, 0.45, 1e-2, 0.50)
# Get a reference to Java ArrayList through jpy bridge
ArrayList = jpy.get_type('java.util.ArrayList')
olist = ArrayList()
# Add the subjective opinions to the array list
olist.add(so1)
olist.add(so2)
print("SO 1: " + so1.toString())
print("SO 2: " + so2.toString())
# Perform Consensus&Compromise Fusion of the opinions on the list
ccf = SubjectiveOpinion.ccCollectionFuse(olist)
print("CCF: " + ccf.toString())
# Perform Cumulative Fusion of the opinions in the list
#/usr/bin/env python3.3 or higher
import jpy
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import rcParams
rcParams['mathtext.fontset'] = 'stix' #latex
rcParams['font.family'] = 'STIXGeneral'
# Create a new JVM with the SL library on its classpath -- change claspath!
jpy.create_jvm([
'-Xmx512M',
'-Djava.class.path=/home/ge73xus/catkin_ws/src/knowledge_aggregation/subjective_logic/build/libs/subjective-logic-java-library-0.1.0.jar'
])
# Get a reference of the SubjectiveOpinion Java class through jpy bridge
SubjectiveOpinion = jpy.get_type('de.tum.i4.subjectivelogic.SubjectiveOpinion')
ArrayList = jpy.get_type('java.util.ArrayList')
######## Compare operators / combination for wave ############
def compare_operators(operator_type):
vac_opinion = SubjectiveOpinion(0.0, 0.0, 1, 0.50)
occ_opinion = SubjectiveOpinion(0.7, 0.0, 0.3, 0.50)
empty_opinion = SubjectiveOpinion(0.0, 0.7, 0.3, 0.50)
so_list = ArrayList()
expectation_list = []
uncertainty_list = []
aggregated_op = vac_opinion
uncertainty_list.append(aggregated_op.getUncertainty())