Actually, it happens for normal integers as well:
>>> n = np.array([-5, -100, -150]) >>> n // 100 array([ 0, -1, -1]) >>> -5//100, -100//100, -150//100 (-1, -1, -2) On Mon, April 23, 2007 22:20, Christian Marquardt wrote: > Dear all, > > this is odd: > > >>> import numpy as np > >>> fact = 28250000L * 86400L > >>> nn = np.array([-20905000L]) > >>> nn > array([-20905000], dtype=int64) > >>> nn[0] // fact > 0 > > But: > > >>> long(nn[0]) // fact > -1L > > Is this a bug in numpy, or in python's implementation of longs? I would > think both should give the same, really... (Python 2.5, numpy > 1.0.3dev3725, > Linux, Intel compilers...) > > Many thanks for any ideas / advice, > > Christian > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
