November 2008 Archives by subject
Starting: Sun Nov 2 18:16:30 CST 2008
Ending: Sat Nov 29 16:18:41 CST 2008
Messages: 88
- [Numpy-tickets] [NumPy] #260: Add mechanism for registering objects to be deallocated and memory-to-be freed at Python exit
NumPy
- [Numpy-tickets] [NumPy] #274: Speed up N-D Boolean indexing
NumPy
- [Numpy-tickets] [NumPy] #349: Improve unit tests in linalg
NumPy
- [Numpy-tickets] [NumPy] #354: Possible inconsistency in 0-dim and scalar empty array types
NumPy
- [Numpy-tickets] [NumPy] #402: newaxis incompatible with array indexing
NumPy
- [Numpy-tickets] [NumPy] #440: Inconsistent behaviour for empty arrays
NumPy
- [Numpy-tickets] [NumPy] #478: numpy.rec.array is inconsistent on objects
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] #675: 0-d array does not allow masked (bool) indexing
NumPy
- [Numpy-tickets] [NumPy] #709: isnan should not raise TypeErrors
NumPy
- [Numpy-tickets] [NumPy] #721: 0-dimensional boolean arrays should work as masks for array scalars
NumPy
- [Numpy-tickets] [NumPy] #729: Complex types can't be set from strings.
NumPy
- [Numpy-tickets] [NumPy] #763: Need test for linalg.norm.
NumPy
- [Numpy-tickets] [NumPy] #765: Implement logsumexp
NumPy
- [Numpy-tickets] [NumPy] #766: fastCopyAndTranspose segfaults
NumPy
- [Numpy-tickets] [NumPy] #775: array resize shifts values in array
NumPy
- [Numpy-tickets] [NumPy] #797: Follow-up on changes to histogram
NumPy
- [Numpy-tickets] [NumPy] #799: Segfault when subclassing numpy.float64 with multiple inheritance
NumPy
- [Numpy-tickets] [NumPy] #800: numpy.float64 has wrong value when subclassed with multiple inheritance
NumPy
- [Numpy-tickets] [NumPy] #804: numpy 1.1.0 does not build as a python egg (easy_install.exe)
NumPy
- [Numpy-tickets] [NumPy] #808: inserting multiple values using numpy.insert()
NumPy
- [Numpy-tickets] [NumPy] #811: install error: Error: suffix or operands invalid for `fnstsw'
NumPy
- [Numpy-tickets] [NumPy] #811: install error: Error: suffix or operands invalid for `fnstsw'
NumPy
- [Numpy-tickets] [NumPy] #819: .flat reorders data
NumPy
- [Numpy-tickets] [NumPy] #823: Size-1 arrays should be indexable by numpy.bool_ objects
NumPy
- [Numpy-tickets] [NumPy] #826: Error in basic arithmetic involving masked objects and scalar types
NumPy
- [Numpy-tickets] [NumPy] #826: Error in basic arithmetic involving masked objects and scalar types
NumPy
- [Numpy-tickets] [NumPy] #827: numpy.test fails + nose traceback on windows
NumPy
- [Numpy-tickets] [NumPy] #830: Divide by zero memory leak
NumPy
- [Numpy-tickets] [NumPy] #853: numpy.sum is broken for anything with wrong a.sum() signature
NumPy
- [Numpy-tickets] [NumPy] #856: chararray __mod__ error
NumPy
- [Numpy-tickets] [NumPy] #859: Indexing uniinitialized arrays in PyArrayIter_Reset
NumPy
- [Numpy-tickets] [NumPy] #861: numpy.matrix.var does not use ddof
NumPy
- [Numpy-tickets] [NumPy] #864: MAError is formatted badly when displayed (patch included)
NumPy
- [Numpy-tickets] [NumPy] #864: MAError is formatted badly when displayed (patch included)
NumPy
- [Numpy-tickets] [NumPy] #866: ldexp broken
NumPy
- [Numpy-tickets] [NumPy] #883: fromstring/fromfile behave badly with malformed data
NumPy
- [Numpy-tickets] [NumPy] #884: fromfile and fromstring locale dependency
NumPy
- [Numpy-tickets] [NumPy] #885: sort does not accept axis=None
NumPy
- [Numpy-tickets] [NumPy] #887: Generalized Universal Functions
NumPy
- [Numpy-tickets] [NumPy] #887: Generalized Universal Functions
NumPy
- [Numpy-tickets] [NumPy] #890: test failures with mingw when SIZEOF_LONG_DOUBLE == 8
NumPy
- [Numpy-tickets] [NumPy] #891: configuration problems on mingw
NumPy
- [Numpy-tickets] [NumPy] #894: -OO optimization fails with nosetester
NumPy
- [Numpy-tickets] [NumPy] #898: NumPy trunk doesn't compile on Windows
NumPy
- [Numpy-tickets] [NumPy] #907: Simplifying isnan and co replacement
NumPy
- [Numpy-tickets] [NumPy] #912: numpy.test does not find any test on cygwin
NumPy
- [Numpy-tickets] [NumPy] #913: max is bogus if nan is in the array
NumPy
- [Numpy-tickets] [NumPy] #914: min is bogus if nan is in the array
NumPy
- [Numpy-tickets] [NumPy] #916: Inconsistency in type equality
NumPy
- [Numpy-tickets] [NumPy] #917: allow dtype='c' in chararray.
NumPy
- [Numpy-tickets] [NumPy] #937: co
NumPy
- [Numpy-tickets] [NumPy] #945: Convert dotblas to prefixed numpy headers
NumPy
- [Numpy-tickets] [NumPy] #946: Segmentation fault with numpy.clip + char array
NumPy
- [Numpy-tickets] [NumPy] #946: Segmentation fault with numpy.clip + char array
NumPy
- [Numpy-tickets] [NumPy] #947: Segmentation fault with tile + char array
NumPy
- [Numpy-tickets] [NumPy] #947: Segmentation fault with tile + char array
NumPy
- [Numpy-tickets] [NumPy] #948: Incorrect shape after basic arithmetic involving masked objects
NumPy
- [Numpy-tickets] [NumPy] #948: Incorrect shape after basic arithmetic involving masked objects
NumPy
- [Numpy-tickets] [NumPy] #949: gzip support for ndarray.tofile()
NumPy
- [Numpy-tickets] [NumPy] #950: multiply empty arrays gives nonzero result
NumPy
- [Numpy-tickets] [NumPy] #950: multiply empty arrays gives nonzero result
NumPy
- [Numpy-tickets] [NumPy] #950: multiply empty arrays gives nonzero result
NumPy
- [Numpy-tickets] [NumPy] #951: test_memmap.py leaves tmpfiles on RHE4 systems
NumPy
- [Numpy-tickets] [NumPy] #952: Pickling an element of a recarray is silently broken
NumPy
- [Numpy-tickets] [NumPy] #953: Typos in docstrings for matlib.ones and matlib.zeros cause doctest failures
NumPy
- [Numpy-tickets] [NumPy] #954: Add memapping to numpy.load
NumPy
- [Numpy-tickets] [NumPy] #954: Add memapping to numpy.load
NumPy
- [Numpy-tickets] [NumPy] #954: Add memapping to numpy.load
NumPy
- [Numpy-tickets] [NumPy] #955: [debian #505999] memory leak in exponentiation
NumPy
- [Numpy-tickets] [NumPy] #955: [debian #505999] memory leak in exponentiation
NumPy
- [Numpy-tickets] [NumPy] #956: ====================================================================== ERROR: Tests the min/max functions with explicit outputs ---------------------------------------------------------------------- Traceback (most recent call last): File "/opt/python26/lib/python2.6/site-packages/numpy/ma/tests/test_core.py", line 688, in test_minmax_funcs_with_output result = npfunc(xm, axis=0, out=nout) File "/opt/python26/lib/python2.6/site-packages/numpy/core/fromnumeric.py", line 1525, in amin return amin(axis, out) File "/opt/python26/lib/python2.6/site-packages/numpy/ma/core.py", line 2882, in min np.putmask(out, newmask, np.nan) ValueError: cannot convert float NaN to integer
NumPy
- [Numpy-tickets] [NumPy] #956: ValueError: cannot convert float NaN to integer
NumPy
- [Numpy-tickets] [NumPy] #957: decorators don't work with test generators
NumPy
- [Numpy-tickets] [NumPy] #957: decorators don't work with test generators
NumPy
- [Numpy-tickets] [NumPy] #957: decorators don't work with test generators
NumPy
- [Numpy-tickets] [NumPy] #958: numpy failures on mac os X (python 2.6)
NumPy
- [Numpy-tickets] [NumPy] #959: atanh(+1) gives nan instead of inf on Windows
NumPy
- [Numpy-tickets] [NumPy] #959: atanh(+1) gives nan instead of inf on Windows
NumPy
- [Numpy-tickets] [NumPy] #959: atanh(+1) gives nan instead of inf on Windows
NumPy
- [Numpy-tickets] [NumPy] #959: atanh(+1) gives nan instead of inf on Windows
NumPy
- [Numpy-tickets] [NumPy] #959: atanh(+1) gives nan instead of inf on Windows
NumPy
- [Numpy-tickets] [NumPy] #959: atanh(+1) gives nan instead of inf on Windows
NumPy
- [Numpy-tickets] [NumPy] #959: atanh(+1) gives nan instead of inf on Windows
NumPy
- [Numpy-tickets] [NumPy] #960: Intel64 --compiler=intelem fails to set correct compiler options
NumPy
- [Numpy-tickets] [NumPy] #961: Masked array getdata() and getmask() resolve to get_data() and get_mask() in docs
NumPy
- [Numpy-tickets] [NumPy] #962: f2py external callbacks don't work
NumPy
- [Numpy-tickets] [NumPy] #963: Object array comparisons eat exceptions
NumPy
Last message date:
Sat Nov 29 16:18:41 CST 2008
Archived on: Sat Nov 29 16:18:45 CST 2008
This archive was generated by
Pipermail 0.09 (Mailman edition).