Hi all, I'm testing some computations with float96 at the moment and right now I have problems with polyfit raising a KeyError for the keycode 'g', which is floatxx with xx>64. I am getting a KeyError using polyfit on some float96 values. The used Routines seem to know nothing about this type. My main question is: have I missed something? Shouldn't this type be used? Below is a more detailed descripton. Thanks in advance, Jan ---------------------------------------------------------------------------- In file numpy/linalg/linalg.py, the following definitions at lines 26ff seem to be the offending ones: # Helper routines _array_kind = {'i':0, 'l': 0, 'q': 0, 'f': 0, 'd': 0, 'F': 1, 'D': 1} _array_precision = {'i': 1, 'l': 1, 'q': 1, 'f': 0, 'd': 1, 'F': 0, 'D': 1} _array_type = [['f', 'd'], ['F', 'D']] Here the new typecodes are missing. I tried # Helper routines _array_kind = {'i':0, 'l': 0, 'q': 0, 'f': 0, 'd': 0, 'g': '0', 'F': 1, 'D':1, 'G':1} _array_precision = {'i': 1, 'l': 1, 'q': 1, 'f': 0, 'd': 1, 'g': 1, 'F': 0, 'D': 1, 'G': 1} _array_type = [['f', 'd', 'g'], ['F', 'D', 'G']] which gets me a step further to a TypeError: File "lib/python2.3/site-packages/numpy/linalg/linalg.py", line 454, in lstsq bstar[:b.shape[0],:n_rhs] = b.copy() TypeError: array cannot be safely cast to required type (Question: Why only one typecode for a type which varies in bitlength on different platforms? On Opteron CPU's I've seen float128 with 'g'?)