diff options
| -rw-r--r-- | .mailmap | 2 | ||||
| -rw-r--r-- | doc/changelog/1.17.1-changelog.rst | 55 | ||||
| -rw-r--r-- | doc/release/1.17.1-notes.rst | 73 | ||||
| -rw-r--r-- | doc/source/release.rst | 1 | ||||
| -rw-r--r-- | numpy/core/fromnumeric.py | 2 | ||||
| -rw-r--r-- | numpy/lib/function_base.py | 7 | ||||
| -rw-r--r-- | numpy/lib/nanfunctions.py | 2 | ||||
| -rw-r--r-- | numpy/ma/extras.py | 7 |
8 files changed, 143 insertions, 6 deletions
@@ -22,6 +22,7 @@ Alex Thomas <alexthomas93@users.noreply.github.com> alexthomas93 <alexthomas93@u Alexander Belopolsky <abalkin@enlnt.com> Alexander Belopolsky <a@enlnt.com> Alexander Belopolsky <abalkin@enlnt.com> Alexander Belopolsky <a@enlnt.com> Alexander Belopolsky <abalkin@enlnt.com> sasha <sasha@localhost> +Alexander Jung <kontakt@ajung.name> aleju <kontakt@ajung.name> Alexander Shadchin <alexandr.shadchin@gmail.com> Alexandr Shadchin <alexandr.shadchin@gmail.com> Alexander Shadchin <alexandr.shadchin@gmail.com> shadchin <alexandr.shadchin@gmail.com> Allan Haldane <allan.haldane@gmail.com> ahaldane <ealloc@gmail.com> @@ -142,6 +143,7 @@ Kiko Correoso <kachine@protonmail.com> kikocorreoso <kikocorreoso@gmail.com> Kiko Correoso <kachine@protonmail.com> kikocorreoso <kikocorreoso@users.noreply.github.com> Konrad Kapp <k_kapp@yahoo.com> k_kapp@yahoo.com <k_kapp@yahoo.com> Kriti Singh <kritisingh1.ks@gmail.com> kritisingh1 <kritisingh1.ks@gmail.com> +Kmol Yuan <pyslvs@gmail.com> Yuan <pyslvs@gmail.com> Lars Buitinck <larsmans@gmail.com> Lars Buitinck <l.buitinck@esciencecenter.nl> Lars Buitinck <larsmans@gmail.com> Lars Buitinck <L.J.Buitinck@uva.nl> Lars Grüter <lagru@mailbox.org> Lars G <lagru@mailbox.org> diff --git a/doc/changelog/1.17.1-changelog.rst b/doc/changelog/1.17.1-changelog.rst new file mode 100644 index 000000000..c7c8b6c8e --- /dev/null +++ b/doc/changelog/1.17.1-changelog.rst @@ -0,0 +1,55 @@ + +Contributors +============ + +A total of 17 people contributed to this release. People with a "+" by their +names contributed a patch for the first time. + +* Alexander Jung + +* Allan Haldane +* Charles Harris +* Eric Wieser +* Giuseppe Cuccu + +* Hiroyuki V. Yamazaki +* Jérémie du Boisberranger +* Kmol Yuan + +* Matti Picus +* Max Bolingbroke + +* Maxwell Aladago + +* Oleksandr Pavlyk +* Peter Andreas Entschev +* Sergei Lebedev +* Seth Troisi + +* Vladimir Pershin + +* Warren Weckesser + +Pull requests merged +==================== + +A total of 24 pull requests were merged for this release. + +* `#14156 <https://github.com/numpy/numpy/pull/14156>`__: TST: Allow fuss in testing strided/non-strided exp/log loops +* `#14157 <https://github.com/numpy/numpy/pull/14157>`__: BUG: avx2_scalef_ps must be static +* `#14158 <https://github.com/numpy/numpy/pull/14158>`__: BUG: Remove stray print that causes a SystemError on python 3.7. +* `#14159 <https://github.com/numpy/numpy/pull/14159>`__: BUG: Fix DeprecationWarning in python 3.8. +* `#14160 <https://github.com/numpy/numpy/pull/14160>`__: BLD: Add missing gcd/lcm definitions to npy_math.h +* `#14161 <https://github.com/numpy/numpy/pull/14161>`__: DOC, BUILD: cleanups and fix (again) 'build dist' +* `#14166 <https://github.com/numpy/numpy/pull/14166>`__: TST: Add 3.8-dev to travisCI testing. +* `#14194 <https://github.com/numpy/numpy/pull/14194>`__: BUG: Remove the broken clip wrapper (Backport) +* `#14198 <https://github.com/numpy/numpy/pull/14198>`__: DOC: Fix hermitian argument docs in svd. +* `#14199 <https://github.com/numpy/numpy/pull/14199>`__: MAINT: Workaround for Intel compiler bug leading to failing test +* `#14200 <https://github.com/numpy/numpy/pull/14200>`__: TST: Clean up of test_pocketfft.py +* `#14201 <https://github.com/numpy/numpy/pull/14201>`__: BUG: Make advanced indexing result on read-only subclass writeable... +* `#14236 <https://github.com/numpy/numpy/pull/14236>`__: BUG: Fixed default BitGenerator name +* `#14237 <https://github.com/numpy/numpy/pull/14237>`__: ENH: add c-imported modules for freeze analysis in np.random +* `#14296 <https://github.com/numpy/numpy/pull/14296>`__: TST: Pin pytest version to 5.0.1 +* `#14301 <https://github.com/numpy/numpy/pull/14301>`__: BUG: Fix leak in the f2py-generated module init and `PyMem_Del`... +* `#14302 <https://github.com/numpy/numpy/pull/14302>`__: BUG: Fix formatting error in exception message +* `#14307 <https://github.com/numpy/numpy/pull/14307>`__: MAINT: random: Match type of SeedSequence.pool_size to DEFAULT_POOL_SIZE. +* `#14308 <https://github.com/numpy/numpy/pull/14308>`__: BUG: Fix numpy.random bug in platform detection +* `#14309 <https://github.com/numpy/numpy/pull/14309>`__: ENH: Enable huge pages in all Linux builds +* `#14330 <https://github.com/numpy/numpy/pull/14330>`__: BUG: Fix segfault in `random.permutation(x)` when x is a string. +* `#14338 <https://github.com/numpy/numpy/pull/14338>`__: BUG: don't fail when lexsorting some empty arrays (#14228) +* `#14339 <https://github.com/numpy/numpy/pull/14339>`__: BUG: Fix misuse of .names and .fields in various places (backport... +* `#14345 <https://github.com/numpy/numpy/pull/14345>`__: BUG: fix behavior of structured_to_unstructured on non-trivial... +* `#14350 <https://github.com/numpy/numpy/pull/14350>`__: REL: Prepare 1.17.1 release diff --git a/doc/release/1.17.1-notes.rst b/doc/release/1.17.1-notes.rst new file mode 100644 index 000000000..bd837ee5b --- /dev/null +++ b/doc/release/1.17.1-notes.rst @@ -0,0 +1,73 @@ +.. currentmodule:: numpy + +========================== +NumPy 1.17.1 Release Notes +========================== + +This release contains a number of fixes for bugs reported against NumPy 1.17.0 +along with a few documentation and build improvements. The Python versions +supported are 3.5-3.7, note that Python 2.7 has been dropped. Python 3.8b3 +should work with the released source packages, but there are no future +guarantees. + +Downstream developers should use Cython >= 0.29.13 for Python 3.8 support and +OpenBLAS >= 3.7 to avoid problems on the Skylake architecture. The NumPy wheels +on PyPI are built from the OpenBLAS development branch in order to avoid those +problems. + + +Contributors +============ + +A total of 17 people contributed to this release. People with a "+" by their +names contributed a patch for the first time. + +* Alexander Jung + +* Allan Haldane +* Charles Harris +* Eric Wieser +* Giuseppe Cuccu + +* Hiroyuki V. Yamazaki +* Jérémie du Boisberranger +* Kmol Yuan + +* Matti Picus +* Max Bolingbroke + +* Maxwell Aladago + +* Oleksandr Pavlyk +* Peter Andreas Entschev +* Sergei Lebedev +* Seth Troisi + +* Vladimir Pershin + +* Warren Weckesser + + +Pull requests merged +==================== + +A total of 24 pull requests were merged for this release. + +* `#14156 <https://github.com/numpy/numpy/pull/14156>`__: TST: Allow fuss in testing strided/non-strided exp/log loops +* `#14157 <https://github.com/numpy/numpy/pull/14157>`__: BUG: avx2_scalef_ps must be static +* `#14158 <https://github.com/numpy/numpy/pull/14158>`__: BUG: Remove stray print that causes a SystemError on python 3.7. +* `#14159 <https://github.com/numpy/numpy/pull/14159>`__: BUG: Fix DeprecationWarning in python 3.8. +* `#14160 <https://github.com/numpy/numpy/pull/14160>`__: BLD: Add missing gcd/lcm definitions to npy_math.h +* `#14161 <https://github.com/numpy/numpy/pull/14161>`__: DOC, BUILD: cleanups and fix (again) 'build dist' +* `#14166 <https://github.com/numpy/numpy/pull/14166>`__: TST: Add 3.8-dev to travisCI testing. +* `#14194 <https://github.com/numpy/numpy/pull/14194>`__: BUG: Remove the broken clip wrapper (Backport) +* `#14198 <https://github.com/numpy/numpy/pull/14198>`__: DOC: Fix hermitian argument docs in svd. +* `#14199 <https://github.com/numpy/numpy/pull/14199>`__: MAINT: Workaround for Intel compiler bug leading to failing test +* `#14200 <https://github.com/numpy/numpy/pull/14200>`__: TST: Clean up of test_pocketfft.py +* `#14201 <https://github.com/numpy/numpy/pull/14201>`__: BUG: Make advanced indexing result on read-only subclass writeable... +* `#14236 <https://github.com/numpy/numpy/pull/14236>`__: BUG: Fixed default BitGenerator name +* `#14237 <https://github.com/numpy/numpy/pull/14237>`__: ENH: add c-imported modules for freeze analysis in np.random +* `#14296 <https://github.com/numpy/numpy/pull/14296>`__: TST: Pin pytest version to 5.0.1 +* `#14301 <https://github.com/numpy/numpy/pull/14301>`__: BUG: Fix leak in the f2py-generated module init and `PyMem_Del`... +* `#14302 <https://github.com/numpy/numpy/pull/14302>`__: BUG: Fix formatting error in exception message +* `#14307 <https://github.com/numpy/numpy/pull/14307>`__: MAINT: random: Match type of SeedSequence.pool_size to DEFAULT_POOL_SIZE. +* `#14308 <https://github.com/numpy/numpy/pull/14308>`__: BUG: Fix numpy.random bug in platform detection +* `#14309 <https://github.com/numpy/numpy/pull/14309>`__: ENH: Enable huge pages in all Linux builds +* `#14330 <https://github.com/numpy/numpy/pull/14330>`__: BUG: Fix segfault in `random.permutation(x)` when x is a string. +* `#14338 <https://github.com/numpy/numpy/pull/14338>`__: BUG: don't fail when lexsorting some empty arrays (#14228) +* `#14339 <https://github.com/numpy/numpy/pull/14339>`__: BUG: Fix misuse of .names and .fields in various places (backport... +* `#14345 <https://github.com/numpy/numpy/pull/14345>`__: BUG: fix behavior of structured_to_unstructured on non-trivial... +* `#14350 <https://github.com/numpy/numpy/pull/14350>`__: REL: Prepare 1.17.1 release diff --git a/doc/source/release.rst b/doc/source/release.rst index f8d83726f..5750e402f 100644 --- a/doc/source/release.rst +++ b/doc/source/release.rst @@ -2,6 +2,7 @@ Release Notes ************* +.. include:: ../release/1.17.1-notes.rst .. include:: ../release/1.17.0-notes.rst .. include:: ../release/1.16.4-notes.rst .. include:: ../release/1.16.3-notes.rst diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py index bde37fca3..3314e516e 100644 --- a/numpy/core/fromnumeric.py +++ b/numpy/core/fromnumeric.py @@ -3419,7 +3419,7 @@ def var(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue): instead of a single axis or all the axes as before. dtype : data-type, optional Type to use in computing the variance. For arrays of integer type - the default is `float32`; for arrays of float types it is the same as + the default is `float64`; for arrays of float types it is the same as the array type. out : ndarray, optional Alternate output array in which to place the result. It must have diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index 9d380e67d..21532838b 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -316,14 +316,17 @@ def average(a, axis=None, weights=None, returned=False): The weights array can either be 1-D (in which case its length must be the size of `a` along the given axis) or of the same shape as `a`. If `weights=None`, then all data in `a` are assumed to have a - weight equal to one. + weight equal to one. The 1-D calculation is:: + + avg = sum(a * weights) / sum(weights) + + The only constraint on `weights` is that `sum(weights)` must not be 0. returned : bool, optional Default is `False`. If `True`, the tuple (`average`, `sum_of_weights`) is returned, otherwise only the average is returned. If `weights=None`, `sum_of_weights` is equivalent to the number of elements over which the average is taken. - Returns ------- retval, [sum_of_weights] : array_type or double diff --git a/numpy/lib/nanfunctions.py b/numpy/lib/nanfunctions.py index 9a03d0b39..6cffab6ac 100644 --- a/numpy/lib/nanfunctions.py +++ b/numpy/lib/nanfunctions.py @@ -1443,7 +1443,7 @@ def nanvar(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue): the variance of the flattened array. dtype : data-type, optional Type to use in computing the variance. For arrays of integer type - the default is `float32`; for arrays of float types it is the same as + the default is `float64`; for arrays of float types it is the same as the array type. out : ndarray, optional Alternate output array in which to place the result. It must have diff --git a/numpy/ma/extras.py b/numpy/ma/extras.py index 639b3dd1f..de1aa3af8 100644 --- a/numpy/ma/extras.py +++ b/numpy/ma/extras.py @@ -549,8 +549,11 @@ def average(a, axis=None, weights=None, returned=False): The weights array can either be 1-D (in which case its length must be the size of `a` along the given axis) or of the same shape as `a`. If ``weights=None``, then all data in `a` are assumed to have a - weight equal to one. If `weights` is complex, the imaginary parts - are ignored. + weight equal to one. The 1-D calculation is:: + + avg = sum(a * weights) / sum(weights) + + The only constraint on `weights` is that `sum(weights)` must not be 0. returned : bool, optional Flag indicating whether a tuple ``(result, sum of weights)`` should be returned as output (True), or just the result (False). |