March 2008 Archives by thread

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Starting: Sat Mar 1 16:45:52 CST 2008
Ending: Fri Mar 28 00:07:37 CDT 2008
Messages: 200

• [Numpy-tickets] [NumPy] #675: 0-d array does not allow masked (bool) indexing   NumPy
  • [Numpy-tickets] [NumPy] #675: 0-d array does not allow masked (bool) indexing   NumPy
• [Numpy-tickets] [NumPy] #674: Impossible to rename object fields   NumPy
• [Numpy-tickets] [NumPy] #676: fortran-order .flatten() fails for multidimensional arrays   NumPy
  • [Numpy-tickets] [NumPy] #676: fortran-order .flatten() fails for multidimensional arrays   NumPy
  • [Numpy-tickets] [NumPy] #676: fortran-order .flatten() fails for multidimensional arrays   NumPy
• [Numpy-tickets] [NumPy] #677: format string / substitutable parameter mismatch in numpy/core/src/arrayobject.c   NumPy
  • [Numpy-tickets] [NumPy] #677: format string / substitutable parameter mismatch in numpy/core/src/arrayobject.c   NumPy
• [Numpy-tickets] [NumPy] #671: linalg ImportError on Solaris 10 systems   NumPy
• [Numpy-tickets] [NumPy] #597: assigning negative # to a uint64 array element gives wrong answer on 32-bit machine   NumPy
• [Numpy-tickets] [NumPy] #678: fromfile() : reading past end of file causes unhandled exception   NumPy
  • [Numpy-tickets] [NumPy] #678: fromfile() : reading past end of file causes unhandled exception   NumPy
• [Numpy-tickets] [NumPy] #679: ERROR: check_MyPyLong_AsUnsignedLongLong (test_regression.TestRegression)   NumPy
  • [Numpy-tickets] [NumPy] #679: ERROR: check_MyPyLong_AsUnsignedLongLong (test_regression.TestRegression)   NumPy
• [Numpy-tickets] [NumPy] #502: Unbiased estimates of variance/ std deviation   NumPy
• [Numpy-tickets] [NumPy] #653: v1.0.4 incorrectly identifies Xeon as 64-bit   NumPy
• [Numpy-tickets] [NumPy] #680: Bug in numpy/core/defmatrix.py   NumPy
  • [Numpy-tickets] [NumPy] #680: Bug in numpy/core/defmatrix.py   NumPy
• [Numpy-tickets] [NumPy] #662: eigh hangup   NumPy
• [Numpy-tickets] [NumPy] #681: numpy.random support for ACML   NumPy
  • [Numpy-tickets] [NumPy] #681: numpy.random support for ACML   NumPy
• [Numpy-tickets] [NumPy] #682: fromfile/tofile broken under Windows   NumPy
  • [Numpy-tickets] [NumPy] #682: fromfile/tofile broken under Windows   NumPy
• [Numpy-tickets] [NumPy] #683: MyPyLong_AsUnsignedLongLong fails on 64bit *nix platforms   NumPy
  • [Numpy-tickets] [NumPy] #683: MyPyLong_AsUnsignedLongLong fails on 64bit *nix platforms   NumPy
  • [Numpy-tickets] [NumPy] #683: MyPyLong_AsUnsignedLongLong fails on 64bit *nix platforms   NumPy
• [Numpy-tickets] [NumPy] #684: Intp takes 2 arguments on all platforms except Windows x86 64 MSVC   NumPy
  • [Numpy-tickets] [NumPy] #684: Intp takes 2 arguments on all platforms except Windows x86 64 MSVC   NumPy
• [Numpy-tickets] [NumPy] #685: Intp takes 2 arguments on all platforms except Windows x86 64 MSVC   NumPy
  • [Numpy-tickets] [NumPy] #685: Intp takes 2 arguments on all platforms except Windows x86 64 MSVC   NumPy
• [Numpy-tickets] [NumPy] #686: Intp takes 2 arguments on all platforms except Windows x86 64 MSVC   NumPy
  • [Numpy-tickets] [NumPy] #686: Intp takes 2 arguments on all platforms except Windows x86 64 MSVC   NumPy
  • [Numpy-tickets] [NumPy] #686: Intp takes 2 arguments on all platforms except Windows x86 64 MSVC   NumPy
  • [Numpy-tickets] [NumPy] #686: Intp takes 2 arguments on all platforms except Windows x86 64 MSVC   NumPy
  • [Numpy-tickets] [NumPy] #686: Intp takes 2 arguments on all platforms except Windows x86 64 MSVC   NumPy
  • [Numpy-tickets] [NumPy] #686: Intp takes 2 arguments on all platforms except Windows x86 64 MSVC   NumPy
  • [Numpy-tickets] [NumPy] #686: Intp takes 2 arguments on all platforms except Windows x86 64 MSVC   NumPy
• [Numpy-tickets] [NumPy] #653: v1.0.4 incorrectly identifies Xeon as 64-bit   NumPy
• [Numpy-tickets] [NumPy] #687: site.cfg: ConfigParser in Python 2.6 does not allow section 'DEFAULT'   NumPy
• [Numpy-tickets] [NumPy] #611: [Vista - NPY_OWNDATA] data created in C code deleted on return to python   NumPy
• [Numpy-tickets] [NumPy] #633: segfault in assignment to pyobject array   NumPy
• [Numpy-tickets] [NumPy] #646: incorrect calculation on int64 array   NumPy
• [Numpy-tickets] [NumPy] #641: numpy.sqrt(numpy.array([-1.0], dtype=numpy.complex256)) segfaults   NumPy
• [Numpy-tickets] [NumPy] #660: Crash in numpy.unique1D (release only)   NumPy
• [Numpy-tickets] [NumPy] #660: Crash in numpy.unique1D (release only)   NumPy
• [Numpy-tickets] [NumPy] #656: numpy.histogram fails if bins is a sequence   NumPy
• [Numpy-tickets] [NumPy] #656: numpy.histogram fails if bins is a sequence   NumPy
• [Numpy-tickets] [NumPy] #627: linalg.svd takes 100% CPU and never ends   NumPy
• [Numpy-tickets] [NumPy] #611: [Vista - NPY_OWNDATA] data created in C code deleted on return to python   NumPy
• [Numpy-tickets] [NumPy] #670: cmp_arg_types bug   NumPy
• [Numpy-tickets] [NumPy] #669: Undesired upcasting of uint64 to float64 in NumPy scalars   NumPy
• [Numpy-tickets] [NumPy] #668: Explain why numpy headers are installed using add_data_dir   NumPy
• [Numpy-tickets] [NumPy] #668: Explain why numpy headers are installed using add_data_dir   NumPy
• [Numpy-tickets] [NumPy] #608: <ufunc 'absolute'> should clear the sign bit.   NumPy
• [Numpy-tickets] [NumPy] #631: incorrect description of numpy.linalg.pinv in linalg/info.py   NumPy
• [Numpy-tickets] [NumPy] #638: var should take absolute value for complex numbers.   NumPy
• [Numpy-tickets] [NumPy] #551: numpy.ndarray messed up after unpickling   NumPy
• [Numpy-tickets] [NumPy] #502: Unbiased estimates of variance/ std deviation   NumPy
• [Numpy-tickets] [NumPy] #688: Numpy and scipy should give informative error messages when run from source dir   NumPy
  • [Numpy-tickets] [NumPy] #688: Numpy and scipy should give informative error messages when run from source dir   NumPy
• [Numpy-tickets] [NumPy] #689: SyntaxError while installing v1.0.5 on MacTel running OSX v10.4.11   NumPy
  • [Numpy-tickets] [NumPy] #689: SyntaxError while installing v1.0.5 on MacTel running OSX v10.4.11   NumPy
• [Numpy-tickets] [NumPy] #690: No test for r4806   NumPy
  • [Numpy-tickets] [NumPy] #690: No test for r4806   NumPy
  • [Numpy-tickets] [NumPy] #690: No test for r4806   NumPy
• [Numpy-tickets] [NumPy] #691: No test for r4819   NumPy
  • [Numpy-tickets] [NumPy] #691: No test for r4819   NumPy
  • [Numpy-tickets] [NumPy] #691: No test for r4819   NumPy
• [Numpy-tickets] [NumPy] #692: No test for r4822   NumPy
• [Numpy-tickets] [NumPy] #693: No test for r4826   NumPy
• [Numpy-tickets] [NumPy] #694: No test for r4827 (possibly)   NumPy
• [Numpy-tickets] [NumPy] #695: No test for r4836   NumPy
• [Numpy-tickets] [NumPy] #696: No test for r4853   NumPy
• [Numpy-tickets] [NumPy] #697: ValueError: shape mismatch: objects cannot be broadcast to a single shape   NumPy
  • [Numpy-tickets] [NumPy] #697: ValueError: shape mismatch: objects cannot be broadcast to a single shape   NumPy
  • [Numpy-tickets] [NumPy] #697: ValueError: shape mismatch: objects cannot be broadcast to a single shape   NumPy
• [Numpy-tickets] [NumPy] #698: segfault float96 + None   NumPy
  • [Numpy-tickets] [NumPy] #698: segfault float96 + None   NumPy
  • [Numpy-tickets] [NumPy] #698: segfault float96 + None   NumPy
  • [Numpy-tickets] [NumPy] #698: segfault float96 + None   NumPy
  • [Numpy-tickets] [NumPy] #698: segfault float96 + None   NumPy
  • [Numpy-tickets] [NumPy] #698: segfault float96 + None   NumPy
  • [Numpy-tickets] [NumPy] #698: segfault float96 + None   NumPy
  • [Numpy-tickets] [NumPy] #698: segfault float96 + None   NumPy
• [Numpy-tickets] [NumPy] #699: corrcoef incorrect behaviour   NumPy
• [Numpy-tickets] [NumPy] #700: Test for mean fails, incorrect processing of weights   NumPy
  • [Numpy-tickets] [NumPy] #700: Test for mean fails, incorrect processing of weights   NumPy
  • [Numpy-tickets] [NumPy] #700: Test for mean fails, incorrect processing of weights   NumPy
• [Numpy-tickets] [NumPy] #701: The returned keyword in average looks useless.   NumPy
• [Numpy-tickets] [NumPy] #641: numpy.sqrt(numpy.array([-1.0], dtype=numpy.complex256)) segfaults   NumPy
• [Numpy-tickets] [NumPy] #641: numpy.sqrt(numpy.array([-1.0], dtype=numpy.complex256)) segfaults   NumPy
• [Numpy-tickets] [NumPy] #641: numpy.sqrt(numpy.array([-1.0], dtype=numpy.complex256)) segfaults   NumPy
• [Numpy-tickets] [NumPy] #641: numpy.sqrt(numpy.array([-1.0], dtype=numpy.complex256)) segfaults   NumPy
• [Numpy-tickets] [NumPy] #702: Memory leak in generic 1d array   NumPy
  • [Numpy-tickets] [NumPy] #702: Memory leak in generic 1d array   NumPy
  • [Numpy-tickets] [NumPy] #702: Memory leak in generic 1d array   NumPy
• [Numpy-tickets] [NumPy] #641: numpy.sqrt(numpy.array([-1.0], dtype=numpy.complex256)) segfaults   NumPy
• [Numpy-tickets] [NumPy] #641: numpy.sqrt(numpy.array([-1.0], dtype=numpy.complex256)) segfaults   NumPy
• [Numpy-tickets] [NumPy] #703: ma.masked_where can make a defective array   NumPy
  • [Numpy-tickets] [NumPy] #703: ma.masked_where can make a defective array   NumPy
• [Numpy-tickets] [NumPy] #704: Building SciPy crashes if no FORTRAN compiler available   NumPy
  • [Numpy-tickets] [NumPy] #704: Building SciPy crashes if no FORTRAN compiler available   NumPy
• [Numpy-tickets] [NumPy] #633: segfault in assignment to pyobject array   NumPy
• [Numpy-tickets] [NumPy] #705: [ numpy-Bugs-601052 ] SVD did not converge   NumPy
  • [Numpy-tickets] [NumPy] #705: [ numpy-Bugs-601052 ] SVD did not converge   NumPy
• [Numpy-tickets] [NumPy] #706: [ numpy-Bugs-601052 ] SVD did not converge   NumPy
  • [Numpy-tickets] [NumPy] #706: [ numpy-Bugs-601052 ] SVD did not converge   NumPy
  • [Numpy-tickets] [NumPy] #706: [ numpy-Bugs-601052 ] SVD did not converge   NumPy
  • [Numpy-tickets] [NumPy] #706: [ numpy-Bugs-601052 ] SVD did not converge   NumPy
• [Numpy-tickets] [NumPy] #651: typos in _compiled_base.c function arr_bincount   NumPy
• [Numpy-tickets] [NumPy] #611: [Vista - NPY_OWNDATA] data created in C code deleted on return to python   NumPy
• [Numpy-tickets] [NumPy] #707: numpy.array failes if the input is a list of matrixes   NumPy
  • [Numpy-tickets] [NumPy] #707: numpy.array failes if the input is a list of matrixes   NumPy
  • [Numpy-tickets] [NumPy] #707: numpy.array failes if the input is a list of matrixes   NumPy
  • [Numpy-tickets] [NumPy] #707: numpy.array failes if the input is a list of matrixes   NumPy
• [Numpy-tickets] [NumPy] #633: segfault in assignment to pyobject array   NumPy
• [Numpy-tickets] [NumPy] #633: segfault in assignment to pyobject array   NumPy
• [Numpy-tickets] [NumPy] #420: Add numpy.floatc for C float type   NumPy
• [Numpy-tickets] [NumPy] #555: setting random seed does not work with a numpy.int64   NumPy
• [Numpy-tickets] [NumPy] #555: setting random seed does not work with a numpy.int64   NumPy
• [Numpy-tickets] [NumPy] #562: Reference leaks   NumPy
• [Numpy-tickets] [NumPy] #562: Reference leaks   NumPy
• [Numpy-tickets] [NumPy] #562: Reference leaks   NumPy
• [Numpy-tickets] [NumPy] #420: Add numpy.floatc for C float type   NumPy
• [Numpy-tickets] [NumPy] #562: Reference leaks   NumPy
• [Numpy-tickets] [NumPy] #570: Vectorize leaks   NumPy
• [Numpy-tickets] [NumPy] #633: segfault in assignment to pyobject array   NumPy
• [Numpy-tickets] [NumPy] #708: Setuptools call to numpy trunk causes numpy.scons error   NumPy
  • [Numpy-tickets] [NumPy] #708: Setuptools call to numpy trunk causes numpy.scons error   NumPy
  • [Numpy-tickets] [NumPy] #708: Setuptools call to numpy trunk causes numpy.scons error   NumPy
  • [Numpy-tickets] [NumPy] #708: Setuptools call to numpy trunk causes numpy.scons error   NumPy
  • [Numpy-tickets] [NumPy] #708: Setuptools call to numpy trunk causes numpy.scons error   NumPy
  • [Numpy-tickets] [NumPy] #708: Setuptools call to numpy trunk causes numpy.scons error   NumPy
  • [Numpy-tickets] [NumPy] #708: Setuptools call to numpy trunk causes numpy.scons error   NumPy
• [Numpy-tickets] [NumPy] #633: segfault in assignment to pyobject array   NumPy
• [Numpy-tickets] [NumPy] #709: isnan should not raise TypeErrors   NumPy
• [Numpy-tickets] [NumPy] #562: Reference leaks   NumPy
• [Numpy-tickets] [NumPy] #633: segfault in assignment to pyobject array   NumPy
• [Numpy-tickets] [NumPy] #710: Reference count error, in array_reshape?   NumPy
  • [Numpy-tickets] [NumPy] #710: Reference count error, in array_reshape?   NumPy
  • [Numpy-tickets] [NumPy] #710: Reference count error, in array_reshape?   NumPy
  • [Numpy-tickets] [NumPy] #710: Reference count error, in array_reshape?   NumPy
  • [Numpy-tickets] [NumPy] #710: Reference count error, in array_reshape?   NumPy
• [Numpy-tickets] [NumPy] #562: Reference leaks   NumPy
• [Numpy-tickets] [NumPy] #562: Reference leaks   NumPy
• [Numpy-tickets] [NumPy] #628: polyfit uses 100% CPU and does not stop (Windows XP, Python 2.5.1 NumPy 1.0.4)   NumPy
• [Numpy-tickets] [NumPy] #652: linalg.eig takes 100% cpu and never ends   NumPy
• [Numpy-tickets] [NumPy] #662: eigh hangup   NumPy
• [Numpy-tickets] [NumPy] #665: 100% cpu error consolidation, tickets 627, 628, 652   NumPy
• [Numpy-tickets] [NumPy] #627: linalg.svd takes 100% CPU and never ends   NumPy
• [Numpy-tickets] [NumPy] #417: Numpy 1.0.1 compilation fails on IRIX 6.5   NumPy
• [Numpy-tickets] [NumPy] #533: numpy.trace is slow for small dimensions   NumPy
• [Numpy-tickets] [NumPy] #595: sum function slow   NumPy
• [Numpy-tickets] [NumPy] #547: /usr/lib/python2.5/site-packages/numpy/distutils/system_info.py should summarize which installs were not available or incomplete   NumPy
• [Numpy-tickets] [NumPy] #562: Reference leaks   NumPy
• [Numpy-tickets] [NumPy] #562: Reference leaks   NumPy
• [Numpy-tickets] [NumPy] #669: Undesired upcasting of uint64 to float64 in NumPy scalars   NumPy
• [Numpy-tickets] [NumPy] #711: object array refcount bug   NumPy
  • [Numpy-tickets] [NumPy] #711: object array refcount bug   NumPy
  • [Numpy-tickets] [NumPy] #711: object array refcount bug   NumPy
• [Numpy-tickets] [NumPy] #670: cmp_arg_types bug   NumPy
• [Numpy-tickets] [NumPy] #562: Reference leaks   NumPy
• [Numpy-tickets] [NumPy] #629: repr() fails on scalars (float64)   NumPy
• [Numpy-tickets] [NumPy] #570: Vectorize leaks   NumPy
• [Numpy-tickets] [NumPy] #430: numpy fails with PyWin build 210 (PyWin32-210.win32-py2.5.exe)   NumPy
• [Numpy-tickets] [NumPy] #583: fromiter: memory error on invalid dtype   NumPy
• [Numpy-tickets] [NumPy] #571: Support universal gfortran compiler on OS X   NumPy
• [Numpy-tickets] [NumPy] #636: Faster array version of ndindex   NumPy
• [Numpy-tickets] [NumPy] #640: Index assignment into pre-allocated array does silent type cast, causing user confusion (or worse)   NumPy
• [Numpy-tickets] [NumPy] #612: NumPy 1.0.4 fails to compile on Cygwin   NumPy
• [Numpy-tickets] [NumPy] #612: NumPy 1.0.4 fails to compile on Cygwin   NumPy
• [Numpy-tickets] [NumPy] #644: distutils/cpuinfo fails to detect some nocona based hardware   NumPy
• [Numpy-tickets] [NumPy] #555: setting random seed does not work with a numpy.int64   NumPy
• [Numpy-tickets] [NumPy] #644: distutils/cpuinfo fails to detect some nocona based hardware   NumPy
• [Numpy-tickets] [NumPy] #644: distutils/cpuinfo fails to detect some nocona based hardware   NumPy
• [Numpy-tickets] [NumPy] #644: distutils/cpuinfo fails to detect some nocona based hardware   NumPy
• [Numpy-tickets] [NumPy] #644: distutils/cpuinfo fails to detect some nocona based hardware   NumPy
• [Numpy-tickets] [NumPy] #644: distutils/cpuinfo fails to detect some nocona based hardware   NumPy
• [Numpy-tickets] [NumPy] #654: Numpy tests failure on solaris   NumPy
• [Numpy-tickets] [NumPy] #654: Numpy tests failure on solaris   NumPy
• [Numpy-tickets] [NumPy] #632: numpy.histogram fails with bin=<list>   NumPy
• [Numpy-tickets] [NumPy] #644: distutils/cpuinfo fails to detect some nocona based hardware   NumPy
• [Numpy-tickets] [NumPy] #629: repr() fails on scalars (float64)   NumPy
• [Numpy-tickets] [NumPy] #632: numpy.histogram fails with bin=<list>   NumPy
• [Numpy-tickets] [NumPy] #632: numpy.histogram fails with bin=<list>   NumPy
• [Numpy-tickets] [NumPy] #629: repr() fails on scalars (float64)   NumPy
• [Numpy-tickets] [NumPy] #626: percentile() and clamp()   NumPy
• [Numpy-tickets] [NumPy] #672: Fatal Python error: PyEval_RestoreThread: NULL tstate   NumPy
• [Numpy-tickets] [NumPy] #644: distutils/cpuinfo fails to detect some nocona based hardware   NumPy
• [Numpy-tickets] [NumPy] #417: Numpy 1.0.1 compilation fails on IRIX 6.5   NumPy
• [Numpy-tickets] [NumPy] #571: Support universal gfortran compiler on OS X   NumPy
• [Numpy-tickets] [NumPy] #654: Numpy tests failure on solaris   NumPy
• [Numpy-tickets] [NumPy] #712: scalar math test failure on solaris   NumPy
  • [Numpy-tickets] [NumPy] #712: scalar math test failure on solaris   NumPy
• [Numpy-tickets] [NumPy] #624: Statistics-related array method are not self-consistent.   NumPy
• [Numpy-tickets] [NumPy] #713: numpy.any segfaults for object arrays with >=10000 elements   NumPy
  • [Numpy-tickets] [NumPy] #713: numpy.any segfaults for object arrays with >=10000 elements   NumPy
• [Numpy-tickets] [NumPy] #610: Let numpy.interp accept scalar values as first argument   NumPy
• [Numpy-tickets] [NumPy] #630: If float('123.45') works, so should numpy.float32('123.45')   NumPy
• [Numpy-tickets] [NumPy] #638: var should take absolute value for complex numbers.   NumPy

Last message date: Fri Mar 28 00:07:37 CDT 2008
Archived on: Fri Mar 28 00:07:40 CDT 2008

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