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X.flat returns an indexable 1-D iterator (mostly similar to an array but always 1-d)
long(<>) --> pylong(<>) if from Numeric * was changed to from scipy.base import *
.typecode() --> .dtypechar
.iscontiguous() --> .flags['CONTIGUOUS']
.byteswapped() -> .byteswap()
.itemsize() -> .itemsize
If you used typecode characters:
'c' -> 'S1'
'b' -> 'B'
'1' -> 'b'
's' -> 'h'
'w' -> 'H'
'u' -> 'I'
C -level
some API calls that used to take PyObject * now take PyArrayObject * (this should only cause warnings during compile and not actual problems).
PyArray_Take
These commands now return a buffer that must be freed once it is used
using PyMemData_FREE(ptr) or PyMemData_XFREE(ptr);
a->descr->zero --> PyArray_Zero(a)
a->descr->one --> PyArray_One(a)
Numeric/arrayobject.h --> scipy/arrayobject.h
# These will actually work and are defines for PyArray_BYTE,
# but you really should change it in your code
PyArray_CHAR --> PyArray_BYTE (or PyArray_STRING which is more flexible)
PyArray_SBYTE --> PyArray_BYTE
Any uses of character codes will need adjusting....
use PyArray_XXXLTR where XXX is the name of the type.
If you used function pointers directly (why did you do that?),
the arguments have changed.
a->descr->cast[i](fromdata, fromstep, todata, tostep, n)
a->descr->cast[i](fromdata, todata, n, PyArrayObject *in, PyArrayObject *out)
anything but single-stepping is not supported by this function
use the PyArray_CastXXXX functions.
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