I opened a new ticket for this: http://projects.scipy.org/scipy/numpy/ticket/549
Xavier Timothy Hochberg wrote: > > > On 7/9/07, *Xavier Saint-Mleux* <[EMAIL PROTECTED] > <mailto:[EMAIL PROTECTED]>> wrote: > > Hi all, > > The conversion from a numpy scalar to a python int is not consistent > with python's native conversion (or numarray's): if the scalar is out > of bounds for an int, python and numarray automatically create a long > while numpy still creates an int... with the wrong value. > > N.B. I am new to numpy, so please forgive me if this issue has already > been discussed. I've quickly searched the archives and Travis's > "Guide > to NumPy", with no success. > > e.g. (using numpy 1.0.3): > > Python 2.4.3 (#2, Apr 27 2006, 14:43:58) > [GCC 4.0.3 (Ubuntu 4.0.3-1ubuntu5)] on linux2 > Type "help", "copyright", "credits" or "license" for more > information. > >>> from numpy import * > >>> l= [1e3, 1e9, 1e15, -1e3, -1e9, -1e15] > >>> a= array(l) > >>> map(int, l) > [1000, 1000000000, 1000000000000000L, -1000, -1000000000, > -1000000000000000L] > >>> map(int, a) > [1000, 1000000000, -2147483648, -1000, -1000000000, -2147483648] > >>> map(long, a) > [1000L, 1000000000L, 1000000000000000L, -1000L, -1000000000L, > -1000000000000000L] > >>> > > IMHO, numpy's conversions to int should behave like Python's > 'float_int' > or 'long_int' functions (see $PYTHON_SRC_DIR/Objects/floatobject.c, > $PYTHON_SRC_DIR/Objects/longobject.c): if it doesn't fit in an int, > return a long. For now (svn), it seems that numpy is always using > PyInt_FromLong after an implicit C cast to long (which silently fails; > see $NUMPY_SRC_DIR/numpy/core/src/scalarmathmodule.c.src) > > Is there any reason not to change this? > > > FWIW, it seems like a good idea to me. > > > > -- > . __ > . |-\ > . > . [EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]> > >------------------------------------------------------------------------ > >_______________________________________________ >Numpy-discussion mailing list >[email protected] >http://projects.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
