def __new__(cls,
ctypesArray,
shape,
dtype=float,
strides=None,
offset=0,
order=None):
# some magic (copied from numpy.ctypeslib) to make sure the ctypes array
# has the array interface
tp = type(ctypesArray)
try:
tp.__array_interface__
except AttributeError:
if hasattr(ctypeslib, 'prep_array'):
ctypeslib.prep_array(tp)
obj = numpy.ndarray.__new__(cls, shape, dtype, ctypesArray, offset,
strides, order)
# keep track of the underlying storage
# this may not be strictly necessary as the same info should be stored in .base
obj.ctypesArray = ctypesArray
return obj
def __new__(cls, ctypesArray, shape, dtype=float,
strides=None, offset=0, order=None):
#some magic (copied from numpy.ctypeslib) to make sure the ctypes array
#has the array interface
tp = type(ctypesArray)
try: tp.__array_interface__
except AttributeError: ctypeslib.prep_array(tp)
obj = numpy.ndarray.__new__(cls, shape, dtype, ctypesArray, offset, strides,
order)
# keep track of the underlying storage
# this may not be strictly necessary as the same info should be stored in .base
obj.ctypesArray = ctypesArray
return obj
def __new__(cls,
ctypesArray,
shape,
dtype=float,
strides=None,
offset=0,
order=None):
# some magic (copied from numpy.ctypeslib) to make sure the ctypes array
# has the array interface
#
# NOTE: The prep_array function is gone as of numpy 1.15 so we might need to
# reconsider this. We can't ditch this completely without checking
# compatibility across versions of ctypes, multiprocessing, and numpy
#
# specifically, we would need to see when ctypes added PEP3118 support (see
# https://github.com/numpy/numpy/commit/8a8be508d2b2ce719de94209286293973c278b46#diff-37de2bd17911ea76b93d35e085d9d4df )
# and potentially update our dependencies accordingly.
#
# Looking in a bit more detail, there would still appear to be issues with ctypes
# and PEP3118 - e.g. https://bugs.python.org/issue32780 (along with a bunch of others
# which are now closed, but were fixed sufficiently recently that they could still effect
# older python installations)
tp = type(ctypesArray)
try:
tp.__array_interface__
except AttributeError:
if not numpy.version.version > '1.15':
# TODO - Fix this test and adapt as needed
# TODO - Should we warn the user for numpy > 1.15?
ctypeslib.prep_array(tp)
obj = numpy.ndarray.__new__(cls, shape, dtype, ctypesArray, offset,
strides, order)
# keep track of the underlying storage
# this may not be strictly necessary as the same info should be stored in .base
obj.ctypesArray = ctypesArray
return obj