May 2007 Archives by author

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Starting: Tue May 1 18:33:39 CDT 2007
Ending: Thu May 31 05:23:23 CDT 2007
Messages: 217

• [Numpy-tickets] [NumPy] #508: astype modifies fortran-ordering   NumPy
• [Numpy-tickets] [NumPy] #509: histogramdd fails on indentical input arrays   NumPy
• [Numpy-tickets] [NumPy] #510: Difference in the number of elements in a fromfile() between Windows and Linux   NumPy
• [Numpy-tickets] [NumPy] #501: "print arr" fails with nan when seterr(all='raise') [test included]   NumPy
• [Numpy-tickets] [NumPy] #511: array does not consistently handle list with strings and Nones   NumPy
• [Numpy-tickets] [NumPy] #512: Incorrect conversion of None into a string for string arrays of size less than 4.   NumPy
• [Numpy-tickets] [NumPy] #513: Cygwin build problem: Multi-include protection needed for fenv.c   NumPy
• [Numpy-tickets] [NumPy] #514: memory corruption crash with array of strings   NumPy
• [Numpy-tickets] [NumPy] #514: memory corruption crash with array of strings   NumPy
• [Numpy-tickets] [NumPy] #515: Wrong -march flags selected for modern Xeon processors   NumPy
• [Numpy-tickets] [NumPy] #516: Error transposing arrays with many dimensions [fix included]   NumPy
• [Numpy-tickets] [NumPy] #517: Mean, median, and std dev need optimization in numpy   NumPy
• [Numpy-tickets] [NumPy] #516: Error transposing arrays with many dimensions [fix included]   NumPy
• [Numpy-tickets] [NumPy] #514: memory corruption crash with array of strings   NumPy
• [Numpy-tickets] [NumPy] #405: nan-functions do not preserve matrix subclass   NumPy
• [Numpy-tickets] [NumPy] #405: nan-functions do not preserve matrix subclass   NumPy
• [Numpy-tickets] [NumPy] #466: Segmentation fault when reversing an array enough times   NumPy
• [Numpy-tickets] [NumPy] #469: Memory error: string concatenation   NumPy
• [Numpy-tickets] [NumPy] #395: GCC compiler warning   NumPy
• [Numpy-tickets] [NumPy] #395: GCC compiler warning   NumPy
• [Numpy-tickets] [NumPy] #390: repr() on recarray failure   NumPy
• [Numpy-tickets] [NumPy] #375: Numpy.arange() gives confusing error message   NumPy
• [Numpy-tickets] [NumPy] #390: repr() on recarray failure   NumPy
• [Numpy-tickets] [NumPy] #466: Segmentation fault when reversing an array enough times   NumPy
• [Numpy-tickets] [NumPy] #509: histogramdd fails on indentical input arrays   NumPy
• [Numpy-tickets] [NumPy] #375: Numpy.arange() gives confusing error message   NumPy
• [Numpy-tickets] [NumPy] #395: GCC compiler warning   NumPy
• [Numpy-tickets] [NumPy] #469: Memory error: string concatenation   NumPy
• [Numpy-tickets] [NumPy] #405: nan-functions do not preserve matrix subclass   NumPy
• [Numpy-tickets] [NumPy] #514: memory corruption crash with array of strings   NumPy
• [Numpy-tickets] [NumPy] #516: Error transposing arrays with many dimensions [fix included]   NumPy
• [Numpy-tickets] [NumPy] #450: Make a.min() not copy data   NumPy
• [Numpy-tickets] [NumPy] #422: __getitem__ method of MaskedArray returns ndarray in some cases   NumPy
• [Numpy-tickets] [NumPy] #113: Compiler warnings   NumPy
• [Numpy-tickets] [NumPy] #349: Improve unit tests in linalg   NumPy
• [Numpy-tickets] [NumPy] #403: speedup for *_copyswap()   NumPy
• [Numpy-tickets] [NumPy] #333: Creating an array from a n-dim dtype type fails   NumPy
• [Numpy-tickets] [NumPy] #392: histogram reverse indicies   NumPy
• [Numpy-tickets] [NumPy] #301: power with negative argument returns 0   NumPy
• [Numpy-tickets] [NumPy] #501: "print arr" fails with nan when seterr(all='raise') [test included]   NumPy
• [Numpy-tickets] [NumPy] #57: ufunc methods need improved BUFFER loop   NumPy
• [Numpy-tickets] [NumPy] #468: Use ellipses to auto complete indices for slice assignments   NumPy
• [Numpy-tickets] [NumPy] #502: Unbiased estimates of variance/ std deviation   NumPy
• [Numpy-tickets] [NumPy] #508: astype modifies fortran-ordering   NumPy
• [Numpy-tickets] [NumPy] #402: newaxis incompatible with array indexing   NumPy
• [Numpy-tickets] [NumPy] #260: Add mechanism for registering objects to be deallocated and memory-to-be freed at Python exit   NumPy
• [Numpy-tickets] [NumPy] #164: Patch to build numpy-0.9.8 on Windows X64 (AMD64) with MSVS2005   NumPy
• [Numpy-tickets] [NumPy] #464: division inconsistent with Python; a/b inconsistent with a%b, scary scalar behaviour   NumPy
• [Numpy-tickets] [NumPy] #354: Possible inconsistency in 0-dim and scalar empty array types   NumPy
• [Numpy-tickets] [NumPy] #479: MemoryError creating recarrays from medium sized python objects   NumPy
• [Numpy-tickets] [NumPy] #478: numpy.rec.array is inconsistent on objects   NumPy
• [Numpy-tickets] [NumPy] #371: Potential memory leak with numpy-1.0   NumPy
• [Numpy-tickets] [NumPy] #274: Speed up N-D Boolean indexing   NumPy
• [Numpy-tickets] [NumPy] #225: bincount does not accept input of type > N.uint16   NumPy
• [Numpy-tickets] [NumPy] #460: better integration of matrices using properties   NumPy
• [Numpy-tickets] [NumPy] #400: C API access to fft for C scipy extension ?   NumPy
• [Numpy-tickets] [NumPy] #250: finfo equivalent for integer types   NumPy
• [Numpy-tickets] [NumPy] #213: SharedLibrary builder for numpy.distutils   NumPy
• [Numpy-tickets] [NumPy] #241: maximum and nan / identity for maximum   NumPy
• [Numpy-tickets] [NumPy] #237: reduceat should handle outlier indices gracefully   NumPy
• [Numpy-tickets] [NumPy] #236: reduceat cornercase   NumPy
• [Numpy-tickets] [NumPy] #114: Problems with building with MSVC and GCC under Cygwin   NumPy
• [Numpy-tickets] [NumPy] #244: Build fails with Intel Visual Fortran compiler   NumPy
• [Numpy-tickets] [NumPy] #385: distutils has invalid flag for nagware fortran compiler version 5   NumPy
• [Numpy-tickets] [NumPy] #451: easy no autodetect for numpy/distutils   NumPy
• [Numpy-tickets] [NumPy] #517: Mean, median, and std dev need optimization in numpy   NumPy
• [Numpy-tickets] [NumPy] #38: strides accepted as an argument to records.array   NumPy
• [Numpy-tickets] [NumPy] #420: Add numpy.floatc for C float type   NumPy
• [Numpy-tickets] [NumPy] #404: numpy.fromfile on file-like object   NumPy
• [Numpy-tickets] [NumPy] #117: bdist_rpm and config_fc don't work together   NumPy
• [Numpy-tickets] [NumPy] #431: default_x11_lib_dirs should contain 64 bit library paths   NumPy
• [Numpy-tickets] [NumPy] #472: pyrex example doesn't compile.   NumPy
• [Numpy-tickets] [NumPy] #441: numpy from iter taking shape rather than count   NumPy
• [Numpy-tickets] [NumPy] #398: Compatibility loader for old Numeric pickles   NumPy
• [Numpy-tickets] [NumPy] #132: Suggestions to improvements for NumPy's web presence   NumPy
• [Numpy-tickets] [NumPy] #506: fft is unusable of moderately large arrays with a size which is a prime number   NumPy
• [Numpy-tickets] [NumPy] #220: Build fails on Alpha Linux   NumPy
• [Numpy-tickets] [NumPy] #338: Valgrind warning when calling scipy.interpolate.interp1d   NumPy
• [Numpy-tickets] [NumPy] #195: Non-critical Valgrind issues   NumPy
• [Numpy-tickets] [NumPy] #228: Backward compatibility plan   NumPy
• [Numpy-tickets] [NumPy] #472: pyrex example doesn't compile.   NumPy
• [Numpy-tickets] [NumPy] #338: Valgrind warning when calling scipy.interpolate.interp1d   NumPy
• [Numpy-tickets] [NumPy] #518: a.var(), a.std(), and a.mean() return incorrect type when no axis specified   NumPy
• [Numpy-tickets] [NumPy] #498: array.var method does not have docstring   NumPy
• [Numpy-tickets] [NumPy] #506: fft is unusable of moderately large arrays with a size which is a prime number   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] [NumPy] #501: "print arr" fails with nan when seterr(all='raise') [test included]   NumPy
• [Numpy-tickets] [NumPy] #403: speedup for *_copyswap()   NumPy
• [Numpy-tickets] [NumPy] #434: Incomplete docstring linalg.eigh   NumPy
• [Numpy-tickets] [NumPy] #403: speedup for *_copyswap()   NumPy
• [Numpy-tickets] [NumPy] #371: Potential memory leak with numpy-1.0   NumPy
• [Numpy-tickets] [NumPy] #404: numpy.fromfile on file-like object   NumPy
• [Numpy-tickets] [NumPy] #403: speedup for *_copyswap()   NumPy
• [Numpy-tickets] [NumPy] #220: Build fails on Alpha Linux   NumPy
• [Numpy-tickets] [NumPy] #441: numpy from iter taking shape rather than count   NumPy
• [Numpy-tickets] [NumPy] #466: Segmentation fault when reversing an array enough times   NumPy
• [Numpy-tickets] [NumPy] #478: numpy.rec.array is inconsistent on objects   NumPy
• [Numpy-tickets] [NumPy] #479: MemoryError creating recarrays from medium sized python objects   NumPy
• [Numpy-tickets] [NumPy] #496: ones and zeros return floats by default (not ints)   NumPy
• [Numpy-tickets] [NumPy] #501: "print arr" fails with nan when seterr(all='raise') [test included]   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] #501: "print arr" fails with nan when seterr(all='raise') [test included]   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] #502: Unbiased estimates of variance/ std deviation   NumPy
• [Numpy-tickets] [NumPy] #250: finfo equivalent for integer types   NumPy
• [Numpy-tickets] [NumPy] #250: finfo equivalent for integer types   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] #509: histogramdd fails on indentical input arrays   NumPy
• [Numpy-tickets] [NumPy] #518: a.var(), a.std(), and a.mean() return incorrect type when no axis specified   NumPy
• [Numpy-tickets] [NumPy] #519: allclose fails with inf   NumPy
• [Numpy-tickets] [NumPy] #466: Segmentation fault when reversing an array enough times   NumPy
• [Numpy-tickets] [NumPy] #466: Segmentation fault when reversing an array enough times   NumPy
• [Numpy-tickets] [NumPy] #466: Segmentation fault when reversing an array enough times   NumPy
• [Numpy-tickets] [NumPy] #466: Segmentation fault when reversing an array enough times   NumPy
• [Numpy-tickets] [NumPy] #515: Wrong -march flags selected for modern Xeon processors   NumPy
• [Numpy-tickets] [NumPy] #451: easy no autodetect for numpy/distutils   NumPy
• [Numpy-tickets] [NumPy] #515: Wrong -march flags selected for modern Xeon processors   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] #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] #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] #500: Numpy distutils relies on obsoleted gfortran --version output   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] #491: Build cares about being in an SVN checkout   NumPy
• [Numpy-tickets] [NumPy] #373: Yet another valgrind warning   NumPy
• [Numpy-tickets] [NumPy] #212: "unique" semantic problem: unique1d, union1d etc. fail with inf   NumPy
• [Numpy-tickets] [NumPy] #394: Memory leak in .argsort() method   NumPy
• [Numpy-tickets] [NumPy] #399: Short notation (typecode+size) for integers is not present in sctypeNA dict   NumPy
• [Numpy-tickets] [NumPy] #489: Filling polygons with Basemap   NumPy
• [Numpy-tickets] [NumPy] #486: FAIL: check_basic(numpy.core.tests.test_multiarray.test_clip) on Solaris 8 system   NumPy
• [Numpy-tickets] [NumPy] #455: histogram2d crashes if all points are outliers   NumPy
• [Numpy-tickets] [NumPy] #455: histogram2d crashes if all points are outliers   NumPy
• [Numpy-tickets] [NumPy] #486: FAIL: check_basic(numpy.core.tests.test_multiarray.test_clip) on Solaris 8 system   NumPy
• [Numpy-tickets] [NumPy] #501: "print arr" fails with nan when seterr(all='raise') [test included]   NumPy
• [Numpy-tickets] [NumPy] #520: intel compiler package uses arch specific flags in get_flags_linker_so that can't be overridden   NumPy
• [Numpy-tickets] [NumPy] #521: add stacklevel=2 to ScipyTest DeprecationWarning   NumPy
• [Numpy-tickets] [NumPy] #519: allclose fails with inf   NumPy
• [Numpy-tickets] [NumPy] #521: add stacklevel=2 to ScipyTest DeprecationWarning   NumPy
• [Numpy-tickets] [NumPy] #520: intel compiler package uses arch specific flags in get_flags_linker_so that can't be overridden   NumPy
• [Numpy-tickets] [NumPy] #513: Cygwin build problem: Multi-include protection needed for fenv.c   NumPy
• [Numpy-tickets] [NumPy] #521: add stacklevel=2 to ScipyTest DeprecationWarning   NumPy
• [Numpy-tickets] [NumPy] #521: add stacklevel=2 to ScipyTest DeprecationWarning   NumPy
• [Numpy-tickets] [NumPy] #522: Compiling extension modules/libraries should use individual compilers   NumPy
• [Numpy-tickets] [NumPy] #521: add stacklevel=2 to ScipyTest DeprecationWarning   NumPy
• [Numpy-tickets] [NumPy] #520: intel compiler package uses arch specific flags in get_flags_linker_so that can't be overridden   NumPy
• [Numpy-tickets] [NumPy] #519: allclose fails with inf   NumPy
• [Numpy-tickets] [NumPy] #518: a.var(), a.std(), and a.mean() return incorrect type when no axis specified   NumPy
• [Numpy-tickets] [NumPy] #512: Incorrect conversion of None into a string for string arrays of size less than 4.   NumPy
• [Numpy-tickets] [NumPy] #518: a.var(), a.std(), and a.mean() return incorrect type when no axis specified   NumPy
• [Numpy-tickets] [NumPy] #132: Suggestions to improvements for NumPy's web presence   NumPy
• [Numpy-tickets] [NumPy] #132: Suggestions to improvements for NumPy's web presence   NumPy
• [Numpy-tickets] [NumPy] #523: Tiny bug causes compilation on Cygwin to fail   NumPy
• [Numpy-tickets] [NumPy] #523: Tiny bug causes compilation on Cygwin to fail   NumPy
• [Numpy-tickets] [NumPy] #518: a.var(), a.std(), and a.mean() return incorrect type when no axis specified   NumPy
• [Numpy-tickets] [NumPy] #464: division inconsistent with Python; a/b inconsistent with a%b, scary scalar behaviour   NumPy
• [Numpy-tickets] [NumPy] #132: Suggestions to improvements for NumPy's web presence   NumPy
• [Numpy-tickets] [NumPy] #519: allclose fails with inf   NumPy
• [Numpy-tickets] [NumPy] #511: array does not consistently handle list with strings and Nones   NumPy
• [Numpy-tickets] [NumPy] #518: a.var(), a.std(), and a.mean() return incorrect type when no axis specified   NumPy
• [Numpy-tickets] [NumPy] #522: Compiling extension modules/libraries should use individual compilers   NumPy
• [Numpy-tickets] [NumPy] #472: pyrex example doesn't compile.   NumPy
• [Numpy-tickets] [NumPy] #518: a.var(), a.std(), and a.mean() return incorrect type when no axis specified   NumPy
• [Numpy-tickets] [NumPy] #501: "print arr" fails with nan when seterr(all='raise') [test included]   NumPy
• [Numpy-tickets] [NumPy] #311: --f77exec= and --f90exec= are not honoured in f2py compile   NumPy
• [Numpy-tickets] [NumPy] #244: Build fails with Intel Visual Fortran compiler   NumPy
• [Numpy-tickets] [NumPy] #244: Build fails with Intel Visual Fortran compiler   NumPy
• [Numpy-tickets] [NumPy] #244: Build fails with Intel Visual Fortran compiler   NumPy
• [Numpy-tickets] [NumPy] #244: Build fails with Intel Visual Fortran compiler   NumPy
• [Numpy-tickets] [NumPy] #244: Build fails with Intel Visual Fortran compiler   NumPy
• [Numpy-tickets] [NumPy] #244: Build fails with Intel Visual Fortran compiler   NumPy
• [Numpy-tickets] [NumPy] #244: Build fails with Intel Visual Fortran compiler   NumPy
• [Numpy-tickets] [NumPy] #244: Build fails with Intel Visual Fortran compiler   NumPy
• [Numpy-tickets] [NumPy] #244: Build fails with Intel Visual Fortran compiler   NumPy
• [Numpy-tickets] [NumPy] #244: Build fails with Intel Visual Fortran compiler   NumPy
• [Numpy-tickets] [NumPy] #244: Build fails with Intel Visual Fortran compiler   NumPy
• [Numpy-tickets] [NumPy] #244: Build fails with Intel Visual Fortran compiler   NumPy
• [Numpy-tickets] [NumPy] #524: Scalar arithmetic with arrays produces values that masquerade as a particular type but are not   NumPy
• [Numpy-tickets] [NumPy] #524: Scalar arithmetic with arrays produces values that masquerade as a particular type but are not   NumPy
• [Numpy-tickets] [NumPy] #525: Inconsistency in the length of buffers of unicode scalars   NumPy
• [Numpy-tickets] [NumPy] #525: Inconsistency in the length of buffers of unicode scalars   NumPy
• [Numpy-tickets] [NumPy] #402: newaxis incompatible with array indexing   NumPy
• [Numpy-tickets] [NumPy] #422: __getitem__ method of MaskedArray returns ndarray in some cases   NumPy
• [Numpy-tickets] [NumPy] #501: "print arr" fails with nan when seterr(all='raise') [test included]   NumPy
• [Numpy-tickets] [NumPy] #501: "print arr" fails with nan when seterr(all='raise') [test included]   NumPy
• [Numpy-tickets] [NumPy] #508: astype modifies fortran-ordering   NumPy
• [Numpy-tickets] [NumPy] #433: longdouble on G5 OS X operates incorrectly   NumPy
• [Numpy-tickets] [NumPy] #450: Make a.min() not copy data   NumPy
• [Numpy-tickets] [NumPy] #478: numpy.rec.array is inconsistent on objects   NumPy
• [Numpy-tickets] [NumPy] #525: Inconsistency in the length of buffers of unicode scalars   NumPy
• [Numpy-tickets] [NumPy] #522: Compiling extension modules/libraries should use individual compilers   NumPy
• [Numpy-tickets] [NumPy] #501: "print arr" fails with nan when seterr(all='raise') [test included]   NumPy
• [Numpy-tickets] [NumPy] #525: Inconsistency in the length of buffers of unicode scalars   NumPy
• [Numpy-tickets] [NumPy] #354: Possible inconsistency in 0-dim and scalar empty array types   NumPy
• [Numpy-tickets] [NumPy] #228: Backward compatibility plan   NumPy
• [Numpy-tickets] [NumPy] #113: Compiler warnings   NumPy
• [Numpy-tickets] [NumPy] #114: Problems with building with MSVC and GCC under Cygwin   NumPy
• [Numpy-tickets] [NumPy] #385: distutils has invalid flag for nagware fortran compiler version 5   NumPy
• [Numpy-tickets] [NumPy] #526: g95 support is broken   NumPy
• [Numpy-tickets] [NumPy] #526: g95 support is broken   NumPy
• [Numpy-tickets] [NumPy] #526: g95 support is broken   NumPy
• [Numpy-tickets] [NumPy] #527: fortran linking flag option...   NumPy
• [Numpy-tickets] [NumPy] #527: fortran linking flag option...   NumPy
• [Numpy-tickets] [NumPy] #528: select changes choicelist as side effect   NumPy
• [Numpy-tickets] [NumPy] #529: Changeset r3830 ended up in the wrong place   NumPy
• [Numpy-tickets] [NumPy] #530: 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] #530: 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] #530: 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

Last message date: Thu May 31 05:23:23 CDT 2007
Archived on: Thu May 31 05:23:27 CDT 2007

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• More info on this list...