delta/python-packages/numpy.git/numpy/core/tests, branch v1.12.0rc1 github.com: numpy/numpy.git BUG: numpy.ndarray.tofile creates a corrupt file for large arrays in append file mode 2016-12-05T00:02:34+00:00 Pavel Potocek pavelpotocek@gmail.com 2016-12-03T16:29:04+00:00 8bc0ed191edc5743dd156b9a9d1364d3863f2898 Fixes by using the flag `FALLOC_FL_KEEP_SIZE` (=1) in the `fappend` call. Fixes #8329 
Fixes by using the flag `FALLOC_FL_KEEP_SIZE` (=1) in the `fappend` call.

Fixes #8329
BUG: fix test_api test that fails intermittently in python 3 2016-12-04T02:19:05+00:00 James Sanders J-Sand@users.noreply.github.com 2016-12-04T00:36:21+00:00 1387daf075c0aa1e089015110ba486870c4ef1c8 






BUG: Fix iteration over reversed subspaces in mapiter_@name@.
2016-11-22T19:47:08+00:00

Yu Feng
rainwoodman@gmail.com

2016-11-16T22:44:49+00:00

2cb0ddfcc6d83e68c45a9fd9bb99357c0ba8b7ac

As stated in #8264, before this patch numpy crashes when the
subspace of iterator has negative strides on the faster
resetting branch for trivially iterable subspaces in mapiter_@name@.

Noticing the offset between ptr and first item in subspace is
constant, we calculate the offset from the first iteration and use
it onwards.

Fixes #8264





As stated in #8264, before this patch numpy crashes when the
subspace of iterator has negative strides on the faster
resetting branch for trivially iterable subspaces in mapiter_@name@.

Noticing the offset between ptr and first item in subspace is
constant, we calculate the offset from the first iteration and use
it onwards.

Fixes #8264







TST: Path test should resolve symlinks when comparing
2016-11-13T20:13:19+00:00

Wendell Smith
wackywendell@gmail.com

2016-11-13T17:44:14+00:00

f8b319453c28969f3a6743a582a3f2a0451b2856

Addresses #8077, a test failure on OS X.





Addresses #8077, a test failure on OS X.







BUG: Update operator `**` tests for new behavior.
2016-11-05T21:05:23+00:00

Charles Harris
charlesr.harris@gmail.com

2016-11-05T21:05:23+00:00

5da51cba3367432cdb6ae3ee3834509c306b737d

I forgot to keep the test fixes when the scalar `**` operator
was refactored the second time.





I forgot to keep the test fixes when the scalar `**` operator
was refactored the second time.







Merge pull request #8190 from charris/add-fpower-ufunc
2016-11-05T16:23:13+00:00

Charles Harris
charlesr.harris@gmail.com

2016-11-05T16:23:13+00:00

62046aa1f3b4666519cbd7d5481dae836e34bbd3

ENH: Add a float_power function with at least float64 precision.




ENH: Add a float_power function with at least float64 precision.






Merge pull request #8222 from nouiz/mean_float16
2016-11-04T01:33:06+00:00

Charles Harris
charlesr.harris@gmail.com

2016-11-04T01:33:06+00:00

6bb5a22ac873a76f4e80988469fe84c1067a7d58

ENH: Make numpy.mean() do more precise computation




ENH: Make numpy.mean() do more precise computation






ENH: Add a float_power function with at least float64 precision.
2016-11-03T00:02:02+00:00

Charles Harris
charlesr.harris@gmail.com

2016-10-21T02:44:20+00:00

9451faa445571cf1839e415bb419afa18c0e7ed9

The new float_power function converts integers and inexact type to
inexact types of minimum precision float64 before computing the power.
The intent is one should not need to worry about overflow or negative
powers when computing a power when type preservation is not a factor. It
also implements the popular proposal on the numpy mailing list that the
`**` operator should always return at least double precision.





The new float_power function converts integers and inexact type to
inexact types of minimum precision float64 before computing the power.
The intent is one should not need to worry about overflow or negative
powers when computing a power when type preservation is not a factor. It
also implements the popular proposal on the numpy mailing list that the
`**` operator should always return at least double precision.







Merge pull request #8200 from skwbc/structure_format
2016-11-02T02:05:06+00:00

ahaldane
ealloc@gmail.com

2016-11-02T02:05:06+00:00

94b36b557ce7d88bbfe4091c59aa376764b7047d

BUG: Fix structured array format functions 




BUG: Fix structured array format functions 






ENH: Deprecation warnings for `/` integer division when running python -3
2016-11-01T01:58:36+00:00

saurabh
e.samehta@gmail.com

2016-11-01T01:28:33+00:00

f685f1a83de2d8fc1e0f48167a204248b6656a63

When python is invoked with switch -3, it emits waring "classic int division"
for strict integer divisions. The same behavior is now implemented to numpy
with this fix





When python is invoked with switch -3, it emits waring "classic int division"
for strict integer divisions. The same behavior is now implemented to numpy
with this fix