Mailman 3 October 2003 - NumPy-Discussion

Problem in LinearAlgebra?
by Rob W.W. Hooft 04 Nov '03

04 Nov '03

I am using Polynomial.py from Scientific Python 2.1, together with Numeric 17.1.2. This has always served me well, but now we are busy upgrading our software, and I am currently porting some code to Scientific Python 2.4.1, Numeric 22.0. Suddenly I do no longer manage to get proper 2D polynomial fits over 4x4th order. At 5x5 the coefficients that come back from LinearAlgebra.linear_least_squares have exploded. In the old setup, I easily managed 9x9th order if I needed to, but most of the time I'd stop at 6x6th order. Would anyone have any idea how this difference can come about? I managed to work around this for the moment by using the equivalent code in the fitPolynomial routine that uses LinearAlgebra.generalized_inverse (and it doesn't even have problems with the same data at 8x8), but this definitely feels not right! I can't remember reading anything like this here before. Together with Konrad Hinsen, I came to the conclusion that the problem is not in Scientific Python, so it must be the underlying LinearAlgebra code that changed between releases 17 and 22. I hacked up a simplified example. Not sure whether it is the most simple case, but this resembles what I have in my code, and I'm quite sure it worked with Numeric 17.x, but currently it is horrible over order (4,4): -------------------------------------- import Numeric def func(x,y): return x+0.1*x**2+0.01*x**4+0.002*x**6+0.03*x*y+0.001*x**4*y**5 x=[] y=[] z=[] for dx in Numeric.arange(0,1,0.01): for dy in Numeric.arange(0,1,0.01): x.append(dx) y.append(dy) z.append(func(dx,dy)) from Scientific.Functions import Polynomial data=Numeric.transpose([x,y]) z=Numeric.array(z) for i in range(10): print data[i],z[i] pol=Polynomial.fitPolynomial((4,4),data,z) print pol.coeff ------------------------------------ for 4,4 this prints: [[ 1.84845529e-05 -7.60502772e-13 2.71314749e-12 -3.66731796e-12 1.66977148e-12] [ 9.99422967e-01 3.00000000e-02 -3.26346097e-11 4.42406519e-11 -2.01549767e-11] [ 1.03899464e-01 -3.19668064e-11 1.14721790e-10 -1.55489826e-10 7.08425891e-11] [ -9.40275000e-03 4.28456838e-11 -1.53705205e-10 2.08279772e-10 -9.48840470e-11] [ 1.80352695e-02 -1.10999843e-04 8.00662570e-04 -2.17266676e-03 2.47500004e-03]] for 5,5: [[ -2.25705839e+03 6.69051337e+02 -6.60470163e+03 6.66572425e+03 -8.67897022e+02 1.83974866e+03] [ -2.58646837e+02 -2.46554689e+03 1.15965805e+03 7.01089888e+03 -2.11395436e+03 2.10884815e+03] [ 3.93307499e+03 4.34484805e+02 -4.84080392e+03 5.90375330e+03 1.16798049e+03 -4.14163933e+03] [ 1.62814750e+03 2.08717457e+03 1.15870693e+03 -3.37838057e+03 3.49821689e+03 5.80572585e+03] [ 4.54127557e+02 -1.56645524e+03 4.58997025e+00 1.69772635e+03 -1.37751039e+03 -7.59726558e+02] [ 2.37878239e+03 9.43032094e+02 8.58518644e+02 -8.35846339e+03 -5.55845668e+02 1.87502761e+03]] Which is clearly wrong. I appreciate any help! Regards, Rob -- Rob W.W. Hooft || rob(a)hooft.net || http://www.hooft.net/people/rob/

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gcc compile / link questions
by Edward C. Jones 01 Nov '03

01 Nov '03

I compile and link Python extension modules using the script gcc -fPIC -g -I/usr/local/include/python2.3 \ -Wall -Wstrict-prototypes -c mymodule.c g++ -shared mymodule.o -L/usr/local/lib -o mymodule.so It works for me but it isn't pretty. Is there a better way to write it? Gcc finds all the libraries that need to be linked in. For example, "/usr/local/lib/python2.3/site-packages/numarray/libnumarray.so". How does gcc do this? I created a .so file "utilities.so" that contains some C functions that are called in mymodule.c but are not visible from Python. Both "utilities.c" and "mymodule.c" use numarray. What changes do I make in the script above? Must I use the nasty "libnumarray_UNIQUE_SYMBOL" trick? What is a script for creating "utilities.a" using gcc? How do I change the script above to include "utilities.a"?

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Marketing Strategy
by Manager 28 Oct '03

28 Oct '03

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NA_getType needs to be documented
by Edward C. Jones 27 Oct '03

27 Oct '03

"NA_getType" needs to be documented. The following is useful: if (!PyArg_ParseTuple(args, "O", &type)) return NULL; temptype = NA_getType(type); if (temptype == NULL) return NULL; typeno = NA_typeObjectToTypeNo(temptype); Py_DECREF(temptype); if (typeno < 0) { PyErr_Format(PyExc_RuntimeError, "_numarray_init: can't get typeno for type"); return NULL; } Do other functions in "libnumarraymodule.c" need to be documented?

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Buglet in NA_set... functions
by Edward C. Jones 27 Oct '03

27 Oct '03

The source code for NA_set_Float has a "#if HAS_UINT64" while NA_set_Int64 doesn't. Neither function works for UInt64 input. It seems that the only difference between these two functions is the cast done to the input variable "v" when the function is called.

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27 Oct '03

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26 Oct '03

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by Richard's R E S U M E 26 Oct '03

26 Oct '03

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by Manager 26 Oct '03

26 Oct '03

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by Marketing 24 Oct '03

24 Oct '03

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