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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)
+
+