October 2007 Archives by thread

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Starting: Thu Oct 4 22:44:37 CDT 2007
Ending: Tue Oct 30 16:07:07 CDT 2007
Messages: 88

• [Numpy-tickets] [NumPy] #584: new max/min functions that returns tuple (max, idx)   NumPy
  • [Numpy-tickets] [NumPy] #584: new max/min functions that returns tuple (max, idx)   NumPy
• [Numpy-tickets] [NumPy] #585: Patch which detects max < min for histogram(X, range)   NumPy
  • [Numpy-tickets] [NumPy] #585: Patch which detects max < min for histogram(X, range)   NumPy
• [Numpy-tickets] [NumPy] #586: (Retry) Patch to detect max < min in histogram(X, range)   NumPy
  • [Numpy-tickets] [NumPy] #586: (Retry) Patch to detect max < min in histogram(X, range)   NumPy
  • [Numpy-tickets] [NumPy] #586: (Retry) Patch to detect max < min in histogram(X, range)   NumPy
  • [Numpy-tickets] [NumPy] #586: (Retry) Patch to detect max < min in histogram(X, range)   NumPy
  • [Numpy-tickets] [NumPy] #586: (Retry) Patch to detect max < min in histogram(X, range)   NumPy
  • [Numpy-tickets] [NumPy] #586: (Retry) Patch to detect max < min in histogram(X, range)   NumPy
• [Numpy-tickets] [NumPy] #570: Vectorize leaks   NumPy
• [Numpy-tickets] [NumPy] #587: f2py fails on INTEGER(8) return statement in f90 code   NumPy
  • [Numpy-tickets] [NumPy] #587: f2py fails on INTEGER(8) return statement in f90 code   NumPy
• [Numpy-tickets] [NumPy] #588: numpy.dot() doesn't work correctly on non-contingous arrays   NumPy
  • [Numpy-tickets] [NumPy] #588: numpy.dot() doesn't work correctly on non-contingous arrays   NumPy
  • [Numpy-tickets] [NumPy] #588: numpy.dot() doesn't work correctly on non-contingous arrays   NumPy
  • [Numpy-tickets] [NumPy] #588: numpy.dot() doesn't work correctly on non-contingous arrays   NumPy
  • [Numpy-tickets] [NumPy] #588: numpy.dot() doesn't work correctly on non-contingous arrays   NumPy
• [Numpy-tickets] [NumPy] #570: Vectorize leaks   NumPy
• [Numpy-tickets] [NumPy] #589: problem installing with latest version of Intel MKL   NumPy
  • [Numpy-tickets] [NumPy] #589: problem installing with latest version of Intel MKL   NumPy
• [Numpy-tickets] [NumPy] #590: arr.max() does not always return maximum   NumPy
  • [Numpy-tickets] [NumPy] #590: arr.max() does not always return maximum   NumPy
  • [Numpy-tickets] [NumPy] #590: arr.max() does not always return maximum   NumPy
  • [Numpy-tickets] [NumPy] #590: arr.max() does not always return maximum   NumPy
• [Numpy-tickets] [NumPy] #591: tab completion on record array fields   NumPy
  • [Numpy-tickets] [NumPy] #591: tab completion on record array fields   NumPy
• [Numpy-tickets] [NumPy] #592: numpy-1.0.4.dev3947 segfaults on |= for largish array sizes   NumPy
  • [Numpy-tickets] [NumPy] #592: numpy-1.0.4.dev3947 segfaults on |= for largish array sizes   NumPy
  • [Numpy-tickets] [NumPy] #592: numpy-1.0.4.dev3947 segfaults on |= for largish array sizes   NumPy
• [Numpy-tickets] [NumPy] #593: Avoiding polluting public namespace in numpy headers   NumPy
  • [Numpy-tickets] [NumPy] #593: Avoiding polluting public namespace in numpy headers   NumPy
• [Numpy-tickets] [NumPy] #580: ExtGen uses Python 2.4 features   NumPy
• [Numpy-tickets] [NumPy] #580: ExtGen uses Python 2.4 features   NumPy
• [Numpy-tickets] [NumPy] #580: ExtGen uses Python 2.4 features   NumPy
• [Numpy-tickets] [NumPy] #580: ExtGen uses Python 2.4 features   NumPy
• [Numpy-tickets] [NumPy] #563: Python 2.6 DeprecationWarnings   NumPy
• [Numpy-tickets] [NumPy] #563: Python 2.6 DeprecationWarnings   NumPy
• [Numpy-tickets] [NumPy] #563: Python 2.6 DeprecationWarnings   NumPy
• [Numpy-tickets] [NumPy] #419: Make web page links to NumPy bug report (ticket) system   NumPy
• [Numpy-tickets] [NumPy] #419: Make web page links to NumPy bug report (ticket) system   NumPy
• [Numpy-tickets] [NumPy] #419: Make web page links to NumPy bug report (ticket) system   NumPy
• [Numpy-tickets] [NumPy] #594: Major slowdown when mixing array with Python's list   NumPy
  • [Numpy-tickets] [NumPy] #594: Major slowdown when mixing array with Python's list   NumPy
  • [Numpy-tickets] [NumPy] #594: Major slowdown when mixing array with Python's list   NumPy
• [Numpy-tickets] [NumPy] #595: sum function slow   NumPy
  • [Numpy-tickets] [NumPy] #595: sum function slow   NumPy
  • [Numpy-tickets] [NumPy] #595: sum function slow   NumPy
  • [Numpy-tickets] [NumPy] #595: sum function slow   NumPy
• [Numpy-tickets] [NumPy] #596: numpy.scons branch: setuptools' develop mode broken   NumPy
  • [Numpy-tickets] [NumPy] #596: numpy.scons branch: setuptools' develop mode broken   NumPy
  • [Numpy-tickets] [NumPy] #596: numpy.scons branch: setuptools' develop mode broken   NumPy
• [Numpy-tickets] [NumPy] #597: assigning negative # to a uint64 array element gives wrong answer on 32-bit machine   NumPy
  • [Numpy-tickets] [NumPy] #597: assigning negative # to a uint64 array element gives wrong answer on 32-bit machine   NumPy
• [Numpy-tickets] [NumPy] #598: incorrect behaviour with ( "%d"%a[i]) on uint64   NumPy
  • [Numpy-tickets] [NumPy] #598: incorrect behaviour with ( "%d"%a[i]) on uint64   NumPy
  • [Numpy-tickets] [NumPy] #598: incorrect behaviour with ( "%d"%a[i]) on uint64   NumPy
  • [Numpy-tickets] [NumPy] #598: incorrect behaviour with ( "%d"%a[i]) on uint64   NumPy
  • [Numpy-tickets] [NumPy] #598: incorrect behaviour with ( "%d"%a[i]) on uint64   NumPy
  • [Numpy-tickets] [NumPy] #598: incorrect behaviour with ( "%d"%a[i]) on uint64   NumPy
  • [Numpy-tickets] [NumPy] #598: incorrect behaviour with ( "%d"%a[i]) on uint64   NumPy
  • [Numpy-tickets] [NumPy] #598: incorrect behaviour with ( "%d"%a[i]) on uint64   NumPy
  • [Numpy-tickets] [NumPy] #598: incorrect behaviour with ( "%d"%a[i]) on uint64   NumPy
• [Numpy-tickets] [NumPy] #539: config parameters are not passed on to build   NumPy
• [Numpy-tickets] [NumPy] #531: SciPy Windows build with Intel Visual Fortran doesn't work   NumPy
• [Numpy-tickets] [NumPy] #531: SciPy Windows build with Intel Visual Fortran doesn't work   NumPy
• [Numpy-tickets] [NumPy] #551: numpy.ndarray messed up after unpickling   NumPy
• [Numpy-tickets] [NumPy] #551: numpy.ndarray messed up after unpickling   NumPy
• [Numpy-tickets] [NumPy] #551: numpy.ndarray messed up after unpickling   NumPy
• [Numpy-tickets] [NumPy] #599: Possible error in fromnumeric.py:_wrapit for nonarray types   NumPy
  • [Numpy-tickets] [NumPy] #599: Possible error in fromnumeric.py:_wrapit for nonarray types   NumPy
  • [Numpy-tickets] [NumPy] #599: Possible error in fromnumeric.py:_wrapit for nonarray types   NumPy
• [Numpy-tickets] [NumPy] #600: Cannot load numpy.unicode_ dumped by cPickle   NumPy
  • [Numpy-tickets] [NumPy] #600: Cannot load numpy.unicode_ dumped by cPickle   NumPy
  • [Numpy-tickets] [NumPy] #600: Cannot load numpy.unicode_ dumped by cPickle   NumPy
• [Numpy-tickets] [NumPy] #601: function for computing powers of a matrix   NumPy
  • [Numpy-tickets] [NumPy] #601: function for computing powers of a matrix   NumPy
  • [Numpy-tickets] [NumPy] #601: function for computing powers of a matrix   NumPy
  • [Numpy-tickets] [NumPy] #601: function for computing powers of a matrix   NumPy
  • [Numpy-tickets] [NumPy] #601: function for computing powers of a matrix   NumPy
  • [Numpy-tickets] [NumPy] #601: function for computing powers of a matrix   NumPy
• [Numpy-tickets] [NumPy] #562: Reference leaks   NumPy
• [Numpy-tickets] [NumPy] #602: Memory leak in ufunc_update_use_defaults   NumPy
  • [Numpy-tickets] [NumPy] #602: Memory leak in ufunc_update_use_defaults   NumPy
• [Numpy-tickets] [NumPy] #562: Reference leaks   NumPy
• [Numpy-tickets] [NumPy] #603: numpy 1.0.3.1, python crash when indexing an array with a int32 ndarray (see example)   NumPy
  • [Numpy-tickets] [NumPy] #603: numpy 1.0.3.1, python crash when indexing an array with a int32 ndarray (see example)   NumPy
  • [Numpy-tickets] [NumPy] #603: numpy 1.0.3.1, python crash when indexing an array with a int32 ndarray (see example)   NumPy

Last message date: Tue Oct 30 16:07:07 CDT 2007
Archived on: Tue Oct 30 16:07:10 CDT 2007

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