April 2011 Archives by date

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Starting: Fri Apr 1 02:30:56 CDT 2011
Ending: Sat Apr 30 20:24:25 CDT 2011
Messages: 162

• [NumPy-Tickets] [NumPy] #1074: Merge plot_directive back to Matplotlib   NumPy Trac
• [NumPy-Tickets] [NumPy] #1071: loadtxt fails if the last column contains empty value   NumPy Trac
• [NumPy-Tickets] [NumPy] #1768: test_random.TestRandomDist - tests too aggressive?   NumPy Trac
• [NumPy-Tickets] [NumPy] #1387: Undefined behavior for bincount for empty array   NumPy Trac
• [NumPy-Tickets] [NumPy] #440: Inconsistent behaviour for empty arrays   NumPy Trac
• [NumPy-Tickets] [NumPy] #1788: histogramdd doesn't like bins with infinite edges   NumPy Trac
• [NumPy-Tickets] [NumPy] #1789: Support half floats via buffer interface   NumPy Trac
• [NumPy-Tickets] [NumPy] #1790: dtype(..., align=True) does not insert trailing padding   NumPy Trac
• [NumPy-Tickets] [NumPy] #1773: corrcoef warnings   NumPy Trac
• [NumPy-Tickets] [NumPy] #1791: Handle SWIG/Cython/Pyrex files correctly during install   NumPy Trac
• [NumPy-Tickets] [NumPy] #1791: Handle SWIG/Cython/Pyrex files correctly during install   NumPy Trac
• [NumPy-Tickets] [NumPy] #1790: dtype(..., align=True) does not insert trailing padding   NumPy Trac
• [NumPy-Tickets] [NumPy] #1163: Incorrect conversion to Int64 by loadtxt (traced to _getconv in numpy.lib.io)   NumPy Trac
• [NumPy-Tickets] [NumPy] #1616: numpy.loadtxt uses both file-like and iterator interfaces instead of just one   NumPy Trac
• [NumPy-Tickets] [NumPy] #1616: numpy.loadtxt uses both file-like and iterator interfaces instead of just one   NumPy Trac
• [NumPy-Tickets] [NumPy] #1752: np.loadtxt fails on empty files   NumPy Trac
• [NumPy-Tickets] [NumPy] #1107: loadtxt support for blocks of data   NumPy Trac
• [NumPy-Tickets] [NumPy] #1619: Loading aligned dtype error   NumPy Trac
• [NumPy-Tickets] [NumPy] #1565: loadtxt fails to load large unsigned int64 integers.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1650: Notify re-distributors of binaries on SSE2/3 issues   NumPy Trac
• [NumPy-Tickets] [NumPy] #1565: loadtxt fails to load large unsigned int64 integers.   NumPy Trac
• [NumPy-Tickets] [NumPy] #768: numpy.i suggestion for improvement: require_shape & require_size   NumPy Trac
• [NumPy-Tickets] [NumPy] #1374: Ticket 628 not fixed for Solaris (polyfit uses 100% CPU and does not stop)   NumPy Trac
• [NumPy-Tickets] [NumPy] #1776: Complex divide by zero returns NAN   NumPy Trac
• [NumPy-Tickets] [NumPy] #1565: loadtxt fails to load large unsigned int64 integers.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1428: genfromtxt problem with long integers   NumPy Trac
• [NumPy-Tickets] [NumPy] #1789: Support half floats via buffer interface   NumPy Trac
• [NumPy-Tickets] [NumPy] #1565: loadtxt fails to load large unsigned int64 integers.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1730: asarray() with misshaped argument   NumPy Trac
• [NumPy-Tickets] [NumPy] #1214: np.hist: needs to be enabled for masked arrays   NumPy Trac
• [NumPy-Tickets] [NumPy] #1565: loadtxt fails to load large unsigned int64 integers.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1428: genfromtxt problem with long integers   NumPy Trac
• [NumPy-Tickets] [NumPy] #1565: loadtxt fails to load large unsigned int64 integers.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1708: pickle.loads() of pickled numpy.array can corrupt memory   NumPy Trac
• [NumPy-Tickets] [NumPy] #1233: Deserialized arrays with base mutate strings   NumPy Trac
• [NumPy-Tickets] [NumPy] #1233: Deserialized arrays with base mutate strings   NumPy Trac
• [NumPy-Tickets] [NumPy] #1708: pickle.loads() of pickled numpy.array can corrupt memory   NumPy Trac
• [NumPy-Tickets] [NumPy] #1766: Nested recarray crashes numpy 1.5.x on Python 3.x   NumPy Trac
• [NumPy-Tickets] [NumPy] #1559: atleast_?d() breaks masked arrays   NumPy Trac
• [NumPy-Tickets] [NumPy] #1218: There should be a way to format individual entries in array2string   NumPy Trac
• [NumPy-Tickets] [NumPy] #1458: loadtxt doesn't unpack structred arrays with unpack=True   NumPy Trac
• [NumPy-Tickets] [NumPy] #1458: loadtxt doesn't unpack structred arrays with unpack=True   NumPy Trac
• [NumPy-Tickets] [NumPy] #1458: loadtxt doesn't unpack structred arrays with unpack=True   NumPy Trac
• [NumPy-Tickets] [NumPy] #1071: loadtxt fails if the last column contains empty value   NumPy Trac
• [NumPy-Tickets] [NumPy] #1071: loadtxt fails if the last column contains empty value   NumPy Trac
• [NumPy-Tickets] [NumPy] #1789: Support half floats via buffer interface   NumPy Trac
• [NumPy-Tickets] [NumPy] #1071: loadtxt fails if the last column contains empty value   NumPy Trac
• [NumPy-Tickets] [NumPy] #1689: fromstring segfaults if reading from text and dtype=bool_   NumPy Trac
• [NumPy-Tickets] [NumPy] #1752: np.loadtxt fails on empty files   NumPy Trac
• [NumPy-Tickets] [NumPy] #1731: allow loadtxt() to read given number of rows   NumPy Trac
• [NumPy-Tickets] [NumPy] #1616: numpy.loadtxt uses both file-like and iterator interfaces instead of just one   NumPy Trac
• [NumPy-Tickets] [NumPy] #1562: potentially unexpected results with loadtxt()   NumPy Trac
• [NumPy-Tickets] [NumPy] #1074: Merge plot_directive back to Matplotlib   NumPy Trac
• [NumPy-Tickets] [NumPy] #1218: There should be a way to format individual entries in array2string   NumPy Trac
• [NumPy-Tickets] [NumPy] #1672: numpy.allclose raises IndexError on scalar 'inf'   NumPy Trac
• [NumPy-Tickets] [NumPy] #1616: numpy.loadtxt uses both file-like and iterator interfaces instead of just one   NumPy Trac
• [NumPy-Tickets] [NumPy] #1689: fromstring segfaults if reading from text and dtype=bool_   NumPy Trac
• [NumPy-Tickets] [NumPy] #1689: fromstring segfaults if reading from text and dtype=bool_   NumPy Trac
• [NumPy-Tickets] [NumPy] #1616: numpy.loadtxt uses both file-like and iterator interfaces instead of just one   NumPy Trac
• [NumPy-Tickets] [NumPy] #1458: loadtxt doesn't unpack structred arrays with unpack=True   NumPy Trac
• [NumPy-Tickets] [NumPy] #1792: absolute(complex(inf)) raises invalid warning (py 3.2, win32)   NumPy Trac
• [NumPy-Tickets] [NumPy] #1458: loadtxt doesn't unpack structred arrays with unpack=True   NumPy Trac
• [NumPy-Tickets] [NumPy] #1793: genfromtxt should probably return an empty array if there is no data.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1793: genfromtxt should probably return an empty array if there is no data.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1071: loadtxt fails if the last column contains empty value   NumPy Trac
• [NumPy-Tickets] [NumPy] #1074: Merge plot_directive back to Matplotlib   NumPy Trac
• [NumPy-Tickets] [NumPy] #1071: loadtxt fails if the last column contains empty value   NumPy Trac
• [NumPy-Tickets] [NumPy] #1731: allow loadtxt() to read given number of rows   NumPy Trac
• [NumPy-Tickets] [NumPy] #1794: Test for loadtxt with a data line of tab delimited spaces   NumPy Trac
• [NumPy-Tickets] [NumPy] #1795: Sort out the NPY_*_FMT printf-formatting macros   NumPy Trac
• [NumPy-Tickets] [NumPy] #1795: Sort out the NPY_*_FMT printf-formatting macros   NumPy Trac
• [NumPy-Tickets] [NumPy] #1218: There should be a way to format individual entries in array2string   NumPy Trac
• [NumPy-Tickets] [NumPy] #1796: Zen of numpy required   NumPy Trac
• [NumPy-Tickets] [NumPy] #1795: Sort out the NPY_*_FMT printf-formatting macros   NumPy Trac
• [NumPy-Tickets] [NumPy] #1797: Better generator tests from IPython   NumPy Trac
• [NumPy-Tickets] [NumPy] #740: numpy setup.py too restrictive, prevents use of fblas with cblas   NumPy Trac
• [NumPy-Tickets] [NumPy] #1798: Type promotion rules regression   NumPy Trac
• [NumPy-Tickets] [NumPy] #1798: Type promotion rules regression   NumPy Trac
• [NumPy-Tickets] [NumPy] #1798: Type promotion rules regression   NumPy Trac
• [NumPy-Tickets] [NumPy] #1798: Type promotion rules regression   NumPy Trac
• [NumPy-Tickets] [NumPy] #1713: Solaris segfault   NumPy Trac
• [NumPy-Tickets] [NumPy] #1713: Solaris segfault   NumPy Trac
• [NumPy-Tickets] [NumPy] #1798: Type promotion rules regression   NumPy Trac
• [NumPy-Tickets] [NumPy] #768: numpy.i suggestion for improvement: require_shape & require_size   NumPy Trac
• [NumPy-Tickets] [NumPy] #768: numpy.i suggestion for improvement: require_shape & require_size   NumPy Trac
• [NumPy-Tickets] [NumPy] #1799: assert_approx_equal against 0.0 always fails   NumPy Trac
• [NumPy-Tickets] [NumPy] #1799: assert_approx_equal against 0.0 always fails   NumPy Trac
• [NumPy-Tickets] [NumPy] #1799: assert_approx_equal against 0.0 always fails   NumPy Trac
• [NumPy-Tickets] [NumPy] #1466: Uninstall in Windows does not remove some directories   NumPy Trac
• [NumPy-Tickets] [NumPy] #1800: add license file to Windows installers   NumPy Trac
• [NumPy-Tickets] [NumPy] #1801: Failure: test_noncentral_f in random   NumPy Trac
• [NumPy-Tickets] [NumPy] #1689: fromstring segfaults if reading from text and dtype=bool_   NumPy Trac
• [NumPy-Tickets] [NumPy] #1731: allow loadtxt() to read given number of rows   NumPy Trac
• [NumPy-Tickets] [NumPy] #1107: loadtxt support for blocks of data   NumPy Trac
• [NumPy-Tickets] [NumPy] #1791: Handle SWIG/Cython/Pyrex files correctly during install   NumPy Trac
• [NumPy-Tickets] [NumPy] #1801: Failure: test_noncentral_f in random   NumPy Trac
• [NumPy-Tickets] [NumPy] #1801: Failure: test_noncentral_f in random   NumPy Trac
• [NumPy-Tickets] [NumPy] #1801: Failure: test_noncentral_f in random   NumPy Trac
• [NumPy-Tickets] [NumPy] #1801: Failure: test_noncentral_f in random   NumPy Trac
• [NumPy-Tickets] [NumPy] #1802: Problem pickling length-1 boolean arrays   NumPy Trac
• [NumPy-Tickets] [NumPy] #1803: ndarray dump function (and straight cPickle) fails for large arrays   NumPy Trac
• [NumPy-Tickets] [NumPy] #527: fortran linking flag option...   NumPy Trac
• [NumPy-Tickets] [NumPy] #1804: numpy.apply_along_axis returns strange dimensionless array   NumPy Trac
• [NumPy-Tickets] [NumPy] #1517: numpy.load does not release file handle for npz files   NumPy Trac
• [NumPy-Tickets] [NumPy] #1517: numpy.load does not release file handle for npz files   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: initialize_casting_tables() does never return on ARM   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: initialize_casting_tables() does never return on ARM   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: initialize_casting_tables() does never return on ARM   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: initialize_casting_tables() does never return on ARM   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: initialize_casting_tables() does never return on ARM   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: initialize_casting_tables() does never return on ARM   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: initialize_casting_tables() does never return on ARM   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: initialize_casting_tables() does never return on ARM   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: initialize_casting_tables() does never return on ARM   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: Test errors when the char type is unsigned. (was: initialize_casting_tables() does never return on ARM)   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: Test errors when the char type is unsigned.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: Test errors when the char type is unsigned.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1378: Change of Intel Fortran compiler flags   NumPy Trac
• [NumPy-Tickets] [NumPy] #1801: Failure: test_noncentral_f in random   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: Test errors when the char type is unsigned.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1798: Type promotion rules regression   NumPy Trac
• [NumPy-Tickets] [NumPy] #1806: Datetime needs docs and updated NEP   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: Test errors when the char type is unsigned.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: Test errors when the char type is unsigned.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1218: There should be a way to format individual entries in array2string   NumPy Trac
• [NumPy-Tickets] [NumPy] #1807: Resizing string array to zero length causes datatype to change to 1 character.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1808: numpy.load segfaults   NumPy Trac
• [NumPy-Tickets] [NumPy] #1808: numpy.load segfaults   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: Test errors when the char type is unsigned.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: Test errors when the char type is unsigned.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: Test errors when the char type is unsigned.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: Test errors when the char type is unsigned.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: Test errors when the char type is unsigned.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1805: Test errors when the char type is unsigned.   NumPy Trac
• [NumPy-Tickets] [NumPy] #1809: Memmap with multiprocessing in Windows   NumPy Trac
• [NumPy-Tickets] [NumPy] #1810: masked array with named components does not behave as expected   NumPy Trac
• [NumPy-Tickets] [NumPy] #1811: test fails: test_array_too_big (test_regression.TestRegression)   NumPy Trac
• [NumPy-Tickets] [NumPy] #1811: test fails: test_array_too_big (test_regression.TestRegression)   NumPy Trac
• [NumPy-Tickets] [NumPy] #1811: test fails: test_array_too_big (test_regression.TestRegression)   NumPy Trac
• [NumPy-Tickets] [NumPy] #1811: test fails: test_array_too_big (test_regression.TestRegression)   NumPy Trac
• [NumPy-Tickets] [NumPy] #1811: test fails: test_array_too_big (test_regression.TestRegression)   NumPy Trac
• [NumPy-Tickets] [NumPy] #1812: FAIL: string test on win 32 Py 3.2 has dtype U5 instead of S5   NumPy Trac
• [NumPy-Tickets] [NumPy] #1811: test fails: test_array_too_big (test_regression.TestRegression)   NumPy Trac
• [NumPy-Tickets] [NumPy] #1813: percentile examples   NumPy Trac
• [NumPy-Tickets] [NumPy] #1811: test fails: test_array_too_big (test_regression.TestRegression)   NumPy Trac
• [NumPy-Tickets] [NumPy] #1809: Memmap with multiprocessing in Windows   NumPy Trac
• [NumPy-Tickets] [NumPy] #1814: dtype field names cannot be unicode   NumPy Trac
• [NumPy-Tickets] [NumPy] #1812: FAIL: string test on win 32 Py 3.2 has dtype U5 instead of S5   NumPy Trac
• [NumPy-Tickets] [NumPy] #1813: percentile examples   NumPy Trac
• [NumPy-Tickets] [NumPy] #1745: Documentation of ndarray.clip is misleading   NumPy Trac
• [NumPy-Tickets] [NumPy] #1745: Documentation of ndarray.clip is misleading   NumPy Trac
• [NumPy-Tickets] [NumPy] #1745: Documentation of ndarray.clip is misleading   NumPy Trac
• [NumPy-Tickets] [NumPy] #1745: Documentation of ndarray.clip is misleading   NumPy Trac
• [NumPy-Tickets] [NumPy] #1815: Segmentation Fault when running numpy test   NumPy Trac
• [NumPy-Tickets] [NumPy] #1815: Segmentation Fault when running numpy test   NumPy Trac
• [NumPy-Tickets] [NumPy] #1815: Segmentation Fault when running numpy test   NumPy Trac
• [NumPy-Tickets] [NumPy] #1815: Segmentation Fault when running numpy test   NumPy Trac
• [NumPy-Tickets] [NumPy] #1815: Segmentation Fault when running numpy test   NumPy Trac
• [NumPy-Tickets] [NumPy] #1815: Segmentation Fault when running numpy test   NumPy Trac
• [NumPy-Tickets] [NumPy] #1815: Segmentation Fault when running numpy test   NumPy Trac
• [NumPy-Tickets] [NumPy] #1815: Segmentation Fault when running numpy test   NumPy Trac
• [NumPy-Tickets] [NumPy] #1815: Segmentation Fault when running numpy test   NumPy Trac

Last message date: Sat Apr 30 20:24:25 CDT 2011
Archived on: Sat Apr 30 20:24:27 CDT 2011

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