Lib._rawffi.py Maven / Gradle / Ivy
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Jython is an implementation of the high-level, dynamic, object-oriented
language Python written in 100% Pure Java, and seamlessly integrated with
the Java platform. It thus allows you to run Python on any Java platform.
import com.sun.jna as jna
def get_libc():
return CDLL("c")
typecode_map = {'h': 2, 'H': 2}
class Array(object):
def __init__(self, typecode):
self.typecode = typecode
self.itemsize = typecode_map[typecode]
def __call__(self, size, autofree=False):
if not autofree:
raise Exception
return ArrayInstance(self, size)
class ArrayInstance(object):
def __init__(self, shape, size):
self.shape = shape
self.alloc = jna.Memory(shape.itemsize * size)
def __setitem__(self, index, value):
self.alloc.setShort(index, value)
def __getitem__(self, index):
return self.alloc.getShort(index)
class FuncPtr(object):
def __init__(self, fn, name, argtypes, restype):
self.fn = fn
self.name = name
self.argtypes = argtypes
self.restype = restype
def __call__(self, *args):
container = Array('H')(1, autofree=True)
container[0] = self.fn.invokeInt([i[0] for i in args])
return container
class CDLL(object):
def __init__(self, libname):
self.lib = jna.NativeLibrary.getInstance(libname)
self.cache = dict()
def ptr(self, name, argtypes, restype):
key = (name, tuple(argtypes), restype)
try:
return self.cache[key]
except KeyError:
fn = self.lib.getFunction(name)
fnp = FuncPtr(fn, name, argtypes, restype)
self.cache[key] = fnp
return fnp