On Fri, Sep 24, 2010 at 11:25, Mathew Yeates <[email protected]> wrote:
> I'm trying to do something ... unusual.
>
> gdb support scripting with Python. From within my python script, I can
> get the address of a contiguous area of memory that stores a fortran
> array. I want to creat a NumPy array using "frombuffer". I see that
> the CPython API supports the creation of a buffer, but, is there an
> easier, more direct, way?
You can also make an object with an .__array_interface__ attribute
describing the data.
[~]
|5> x = np.arange(10)
[~]
|6> x.__array_interface__
{'data': (68583072, False),
'descr': [('', '<i4')],
'shape': (10,),
'strides': None,
'typestr': '<i4',
'version': 3}
[~]
|7> np.lib.stride_tricks.DummyArray??
Type: type
Base Class: <type 'type'>
String Form: <class 'numpy.lib.stride_tricks.DummyArray'>
Namespace: Interactive
File:
/Library/Frameworks/Python.framework/Versions/6.1/lib/python2.6/site-packages/numpy/lib/stride_tricks.py
Source:
class DummyArray(object):
""" Dummy object that just exists to hang __array_interface__ dictionaries
and possibly keep alive a reference to a base array.
"""
def __init__(self, interface, base=None):
self.__array_interface__ = interface
self.base = base
Constructor information:
Definition: np.lib.stride_tricks.DummyArray(self, interface, base=None)
Then np.asarray() will consume that object to make an ndarray that
references the given memory.
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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