April 2007 Archives by thread

• Messages sorted by: [ subject ] [ author ] [ date ]
• More info on this list...

Starting: Sun Apr 1 12:24:26 CDT 2007
Ending: Sun Apr 29 10:24:11 CDT 2007
Messages: 108

• [Numpy-tickets] [NumPy] #466: Segmentation fault when reversing an array enough times   NumPy
• [Numpy-tickets] [NumPy] #483: Junk in the representation of string fields of recarrays   NumPy
• [Numpy-tickets] [NumPy] #450: Make a.min() not copy data   NumPy
• [Numpy-tickets] [NumPy] #486: FAIL: check_basic(numpy.core.tests.test_multiarray.test_clip) on Solaris 8 system   NumPy
  • [Numpy-tickets] [NumPy] #486: FAIL: check_basic(numpy.core.tests.test_multiarray.test_clip) on Solaris 8 system   NumPy
  • [Numpy-tickets] [NumPy] #486: FAIL: check_basic(numpy.core.tests.test_multiarray.test_clip) on Solaris 8 system   NumPy
  • [Numpy-tickets] [NumPy] #486: FAIL: check_basic(numpy.core.tests.test_multiarray.test_clip) on Solaris 8 system   NumPy
• [Numpy-tickets] [NumPy] #487: Segfault with recarrays and r3632   NumPy
  • [Numpy-tickets] [NumPy] #487: Segfault with recarrays and r3632   NumPy
  • [Numpy-tickets] [NumPy] #487: Segfault with recarrays and r3632   NumPy
  • [Numpy-tickets] [NumPy] #487: Segfault with recarrays and r3632   NumPy
• [Numpy-tickets] [NumPy] #483: Junk in the representation of string fields of recarrays   NumPy
• [Numpy-tickets] [NumPy] #483: Junk in the representation of string fields of recarrays   NumPy
• [Numpy-tickets] [NumPy] #450: Make a.min() not copy data   NumPy
• [Numpy-tickets] [NumPy] #440: Inconsistent behaviour for empty arrays   NumPy
• [Numpy-tickets] [NumPy] #450: Make a.min() not copy data   NumPy
• [Numpy-tickets] [NumPy] #463: hex(), oct() fails on int64 array   NumPy
• [Numpy-tickets] [NumPy] #477: isscalar give strange results   NumPy
• [Numpy-tickets] [NumPy] #424: stable argsort() and sort() behave differently on 2-column uint64 arrays. possibly a bug in argsort() or sort() .   NumPy
• [Numpy-tickets] [NumPy] #431: default_x11_lib_dirs should contain 64 bit library paths   NumPy
• [Numpy-tickets] [NumPy] #437: Updates to f2py callbacks desired   NumPy
• [Numpy-tickets] [NumPy] #463: hex(), oct() fails on int64 array   NumPy
• [Numpy-tickets] [NumPy] #424: stable argsort() and sort() behave differently on 2-column uint64 arrays. possibly a bug in argsort() or sort() .   NumPy
• [Numpy-tickets] [NumPy] #424: stable argsort() and sort() behave differently on 2-column uint64 arrays. possibly a bug in argsort() or sort() .   NumPy
• [Numpy-tickets] [NumPy] #463: hex(), oct() fails on int64 array   NumPy
• [Numpy-tickets] [NumPy] #424: stable argsort() and sort() behave differently on 2-column uint64 arrays. possibly a bug in argsort() or sort() .   NumPy
• [Numpy-tickets] [NumPy] #424: stable argsort() and sort() behave differently on 2-column uint64 arrays. possibly a bug in argsort() or sort() .   NumPy
• [Numpy-tickets] [NumPy] #394: Memory leak in .argsort() method   NumPy
• [Numpy-tickets] [NumPy] #394: Memory leak in .argsort() method   NumPy
• [Numpy-tickets] [NumPy] #355: Valgrind warning on arrayobject.c   NumPy
• [Numpy-tickets] [NumPy] #402: newaxis incompatible with array indexing   NumPy
• [Numpy-tickets] [NumPy] #433: longdouble on G5 OS X operates incorrectly   NumPy
• [Numpy-tickets] [NumPy] #437: Updates to f2py callbacks desired   NumPy
• [Numpy-tickets] [NumPy] #488: seeded randint returns different values on 32 and 64bit architectures   NumPy
  • [Numpy-tickets] [NumPy] #488: seeded randint returns different values on 32 and 64bit architectures   NumPy
• [Numpy-tickets] [NumPy] #484: random state not portable between 32-bit and 64-bit architectures   NumPy
• [Numpy-tickets] [NumPy] #455: histogram2d crashes if all points are outliers   NumPy
• [Numpy-tickets] [NumPy] #458: Compilation fails on Cygwin   NumPy
• [Numpy-tickets] [NumPy] #189: Histograms (1d, 2d, nd)   NumPy
• [Numpy-tickets] [NumPy] #455: histogram2d crashes if all points are outliers   NumPy
• [Numpy-tickets] [NumPy] #489: Filling polygons with Basemap   NumPy
  • [Numpy-tickets] [NumPy] #489: Filling polygons with Basemap   NumPy
• [Numpy-tickets] [NumPy] #490: problem with simple matrix addition   NumPy
  • [Numpy-tickets] [NumPy] #490: problem with simple matrix addition   NumPy
• [Numpy-tickets] [NumPy] #491: Build cares about being in an SVN checkout   NumPy
  • [Numpy-tickets] [NumPy] #491: Build cares about being in an SVN checkout   NumPy
  • [Numpy-tickets] [NumPy] #491: Build cares about being in an SVN checkout   NumPy
• [Numpy-tickets] [NumPy] #399: Short notation (typecode+size) for integers is not present in sctypeNA dict   NumPy
• [Numpy-tickets] [NumPy] #394: Memory leak in .argsort() method   NumPy
• [Numpy-tickets] [NumPy] #394: Memory leak in .argsort() method   NumPy
• [Numpy-tickets] [NumPy] #212: "unique" semantic problem: unique1d, union1d etc. fail with inf   NumPy
• [Numpy-tickets] [NumPy] #430: numpy fails with PyWin build 210 (PyWin32-210.win32-py2.5.exe)   NumPy
• [Numpy-tickets] [NumPy] #373: Yet another valgrind warning   NumPy
• [Numpy-tickets] [NumPy] #492: integer overflow on plus and sum (at least)   NumPy
  • [Numpy-tickets] [NumPy] #492: integer overflow on plus and sum (at least)   NumPy
• [Numpy-tickets] [NumPy] #493: maximum_sctype returns a smaller type than is actually used by the data   NumPy
  • [Numpy-tickets] [NumPy] #493: maximum_sctype returns a smaller type than is actually used by the data   NumPy
• [Numpy-tickets] [NumPy] #494: Arrays of type float96 or float128 do not display correctly   NumPy
  • [Numpy-tickets] [NumPy] #494: Arrays of type float96 or float128 do not display correctly   NumPy
  • [Numpy-tickets] [NumPy] #494: Arrays of type float96 or float128 do not display correctly   NumPy
  • [Numpy-tickets] [NumPy] #494: Arrays of type float96 or float128 do not display correctly   NumPy
  • [Numpy-tickets] [NumPy] #494: Arrays of type float96 or float128 do not display correctly   NumPy
  • [Numpy-tickets] [NumPy] #494: Arrays of type float96 or float128 do not display correctly   NumPy
  • [Numpy-tickets] [NumPy] #494: Arrays of type float96 or float128 do not display correctly   NumPy
• [Numpy-tickets] [NumPy] #495: maximum_sctype returns incompatible types on different computers   NumPy
  • [Numpy-tickets] [NumPy] #495: maximum_sctype returns incompatible types on different computers   NumPy
• [Numpy-tickets] [NumPy] #496: ones and zeros return floats by default (not ints)   NumPy
  • [Numpy-tickets] [NumPy] #496: ones and zeros return floats by default (not ints)   NumPy
• [Numpy-tickets] [NumPy] #432: cov segfaults when input is oriented incorrectly   NumPy
• [Numpy-tickets] [NumPy] #469: Memory error: string concatenation   NumPy
• [Numpy-tickets] [NumPy] #432: cov segfaults when input is oriented incorrectly   NumPy
• [Numpy-tickets] [NumPy] #432: cov segfaults when input is oriented incorrectly   NumPy
• [Numpy-tickets] [NumPy] #432: cov segfaults when input is oriented incorrectly   NumPy
• [Numpy-tickets] [NumPy] #432: cov segfaults when input is oriented incorrectly   NumPy
• [Numpy-tickets] [NumPy] #432: cov segfaults when input is oriented incorrectly   NumPy
• [Numpy-tickets] [NumPy] #432: cov segfaults when input is oriented incorrectly   NumPy
• [Numpy-tickets] [NumPy] #432: cov segfaults when input is oriented incorrectly   NumPy
• [Numpy-tickets] [NumPy] #497: The dot and inner products fail for large arrays on 64 bit linux using the ATLAS libraries.   NumPy
  • [Numpy-tickets] [NumPy] #497: The dot and inner products fail for large arrays on 64 bit linux using the ATLAS libraries.   NumPy
  • [Numpy-tickets] [NumPy] #497: The dot and inner products fail for large arrays on 64 bit linux using the ATLAS libraries.   NumPy
• [Numpy-tickets] [NumPy] #432: cov segfaults when input is oriented incorrectly   NumPy
• [Numpy-tickets] [NumPy] #498: array.var method does not have docstring   NumPy
  • [Numpy-tickets] [NumPy] #498: array.var method does not have docstring   NumPy
• [Numpy-tickets] [NumPy] #499: array.diagonal method doesn't have a doc string   NumPy
• [Numpy-tickets] Hot pictures of paris hilton nude   Nude jennajameson.com
• [Numpy-tickets] [NumPy] #500: Numpy distutils relies on obsoleted gfortran --version output   NumPy
  • [Numpy-tickets] [NumPy] #500: Numpy distutils relies on obsoleted gfortran --version output   NumPy
  • [Numpy-tickets] [NumPy] #500: Numpy distutils relies on obsoleted gfortran --version output   NumPy
  • [Numpy-tickets] [NumPy] #500: Numpy distutils relies on obsoleted gfortran --version output   NumPy
• [Numpy-tickets] [NumPy] #501: "print arr" fails with nan when seterr(all='raise') [test included]   NumPy
• [Numpy-tickets] [NumPy] #502: Unbiased estimates of variance/ std deviation   NumPy
• [Numpy-tickets] [NumPy] #147: ValueError or segfault wrapping ALLOCATABLE f90 arrays using ifort on AMD64/EM64T   NumPy
• [Numpy-tickets] [NumPy] #147: ValueError or segfault wrapping ALLOCATABLE f90 arrays using ifort on AMD64/EM64T   NumPy
• [Numpy-tickets] [NumPy] #503: non native endian does not work with frompyfunc   NumPy
  • [Numpy-tickets] [NumPy] #503: non native endian does not work with frompyfunc   NumPy
• [Numpy-tickets] [NumPy] #147: ValueError or segfault wrapping ALLOCATABLE f90 arrays using ifort on AMD64/EM64T   NumPy
• [Numpy-tickets] [NumPy] #504: Building with Intel Math Kernel Library in windows   NumPy
  • [Numpy-tickets] [NumPy] #504: Building with Intel Math Kernel Library in windows   NumPy
  • [Numpy-tickets] [NumPy] #504: Building with Intel Math Kernel Library in windows   NumPy
  • [Numpy-tickets] [NumPy] #504: Building with Intel Math Kernel Library in windows   NumPy
• [Numpy-tickets] [NumPy] #505: fromfile does not work with files opened with gzip   NumPy
  • [Numpy-tickets] [NumPy] #505: fromfile does not work with files opened with gzip   NumPy
• [Numpy-tickets] [NumPy] #506: fft is unusable of moderately large arrays with a size which is a prime number   NumPy
  • [Numpy-tickets] [NumPy] #506: fft is unusable of moderately large arrays with a size which is a prime number   NumPy
• [Numpy-tickets] [NumPy] #507: invalid math result in numpy.sqrt() and numpy.square() when using 2^32 and (2^32)^2   NumPy
  • [Numpy-tickets] [NumPy] #507: invalid math result in numpy.sqrt() and numpy.square() when using 2^32 and (2^32)^2   NumPy
  • [Numpy-tickets] [NumPy] #507: invalid math result in numpy.sqrt() and numpy.square() when using 2^32 and (2^32)^2   NumPy
  • [Numpy-tickets] [NumPy] #507: invalid math result in numpy.sqrt() and numpy.square() when using 2^32 and (2^32)^2   NumPy

Last message date: Sun Apr 29 10:24:11 CDT 2007
Archived on: Sun Apr 29 10:24:14 CDT 2007

• Messages sorted by: [ subject ] [ author ] [ date ]
• More info on this list...