Python numpy.ctypeslib() Examples

The following are 3 code examples of numpy.ctypeslib(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module numpy , or try the search function .
Example #1
Source File: shmarray.py    From switchio with Mozilla Public License 2.0 6 votes vote down vote up 
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
Example #2
Source File: shmarray.py    From switchy with Mozilla Public License 2.0 6 votes vote down vote up 
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
Example #3
Source File: shmarray.py    From Jacinle with MIT License 6 votes vote down vote up 
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