diff options
author | Brian Wignall <brianwignall@gmail.com> | 2020-01-14 07:27:33 -0500 |
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committer | Brian Wignall <brianwignall@gmail.com> | 2020-01-14 07:27:33 -0500 |
commit | b485da191ec08597835292e45f3ee52f3b1e23e5 (patch) | |
tree | 49d81469ad7574f206662cd586608d42e182f95f /doc | |
parent | 266c588b393ea0d3b89d583e014e9befe654bed2 (diff) | |
download | numpy-b485da191ec08597835292e45f3ee52f3b1e23e5.tar.gz |
DOC: fix typos
Diffstat (limited to 'doc')
-rw-r--r-- | doc/changelog/1.12.0-changelog.rst | 6 | ||||
-rw-r--r-- | doc/changelog/1.15.0-changelog.rst | 4 | ||||
-rw-r--r-- | doc/changelog/1.16.5-changelog.rst | 4 | ||||
-rw-r--r-- | doc/changelog/1.17.0-changelog.rst | 8 | ||||
-rw-r--r-- | doc/neps/nep-0000.rst | 2 | ||||
-rw-r--r-- | doc/neps/nep-0021-advanced-indexing.rst | 6 | ||||
-rw-r--r-- | doc/neps/nep-0030-duck-array-protocol.rst | 2 | ||||
-rw-r--r-- | doc/neps/nep-0037-array-module.rst | 2 | ||||
-rw-r--r-- | doc/source/reference/c-api/array.rst | 10 | ||||
-rw-r--r-- | doc/source/release/1.13.0-notes.rst | 2 | ||||
-rw-r--r-- | doc/source/release/1.14.0-notes.rst | 2 | ||||
-rw-r--r-- | doc/source/release/1.16.5-notes.rst | 4 | ||||
-rw-r--r-- | doc/source/release/1.18.0-notes.rst | 2 | ||||
-rw-r--r-- | doc/source/user/c-info.beyond-basics.rst | 2 |
14 files changed, 28 insertions, 28 deletions
diff --git a/doc/changelog/1.12.0-changelog.rst b/doc/changelog/1.12.0-changelog.rst index 75d9964e3..2e91f510f 100644 --- a/doc/changelog/1.12.0-changelog.rst +++ b/doc/changelog/1.12.0-changelog.rst @@ -225,7 +225,7 @@ A total of 418 pull requests were merged for this release. * `#7240 <https://github.com/numpy/numpy/pull/7240>`__: Change 'pubic' to 'public'. * `#7241 <https://github.com/numpy/numpy/pull/7241>`__: MAINT: update doc/sphinxext to numpydoc 0.6.0, and fix up some... * `#7243 <https://github.com/numpy/numpy/pull/7243>`__: ENH: Adding support to the range keyword for estimation of the... -* `#7246 <https://github.com/numpy/numpy/pull/7246>`__: DOC: metion writeable keyword in as_strided in release notes +* `#7246 <https://github.com/numpy/numpy/pull/7246>`__: DOC: mention writeable keyword in as_strided in release notes * `#7247 <https://github.com/numpy/numpy/pull/7247>`__: TST: Fail quickly on AppVeyor for superseded PR builds * `#7248 <https://github.com/numpy/numpy/pull/7248>`__: DOC: remove link to documentation wiki editor from HOWTO_DOCUMENT. * `#7250 <https://github.com/numpy/numpy/pull/7250>`__: DOC,REL: Update 1.11.0 notes. @@ -333,7 +333,7 @@ A total of 418 pull requests were merged for this release. * `#7534 <https://github.com/numpy/numpy/pull/7534>`__: MAINT: Update setup.py to reflect supported python versions. * `#7536 <https://github.com/numpy/numpy/pull/7536>`__: MAINT: Always use PyCapsule instead of PyCObject in mtrand.pyx * `#7539 <https://github.com/numpy/numpy/pull/7539>`__: MAINT: Cleanup of random stuff -* `#7549 <https://github.com/numpy/numpy/pull/7549>`__: BUG: allow graceful recovery for no Liux compiler +* `#7549 <https://github.com/numpy/numpy/pull/7549>`__: BUG: allow graceful recovery for no Linux compiler * `#7562 <https://github.com/numpy/numpy/pull/7562>`__: BUG: Fix test_from_object_array_unicode (test_defchararray.TestBasic)… * `#7565 <https://github.com/numpy/numpy/pull/7565>`__: BUG: Fix test_ctypeslib and test_indexing for debug interpreter * `#7566 <https://github.com/numpy/numpy/pull/7566>`__: MAINT: use manylinux1 wheel for cython @@ -459,7 +459,7 @@ A total of 418 pull requests were merged for this release. * `#8016 <https://github.com/numpy/numpy/pull/8016>`__: BUG: Fix numpy.ma.median. * `#8018 <https://github.com/numpy/numpy/pull/8018>`__: BUG: Fixes return for np.ma.count if keepdims is True and axis... * `#8021 <https://github.com/numpy/numpy/pull/8021>`__: DOC: change all non-code instances of Numpy to NumPy -* `#8027 <https://github.com/numpy/numpy/pull/8027>`__: ENH: Add platform indepedent lib dir to PYTHONPATH +* `#8027 <https://github.com/numpy/numpy/pull/8027>`__: ENH: Add platform independent lib dir to PYTHONPATH * `#8028 <https://github.com/numpy/numpy/pull/8028>`__: DOC: Update 1.11.2 release notes. * `#8030 <https://github.com/numpy/numpy/pull/8030>`__: BUG: fix np.ma.median with only one non-masked value and an axis... * `#8038 <https://github.com/numpy/numpy/pull/8038>`__: MAINT: Update error message in rollaxis. diff --git a/doc/changelog/1.15.0-changelog.rst b/doc/changelog/1.15.0-changelog.rst index 4e3d3680b..dd5544ac9 100644 --- a/doc/changelog/1.15.0-changelog.rst +++ b/doc/changelog/1.15.0-changelog.rst @@ -316,7 +316,7 @@ A total of 438 pull requests were merged for this release. * `#10618 <https://github.com/numpy/numpy/pull/10618>`__: MAINT: Stop using non-tuple indices internally * `#10619 <https://github.com/numpy/numpy/pull/10619>`__: BUG: np.ma.flatnotmasked_contiguous behaves differently on mask=nomask... * `#10621 <https://github.com/numpy/numpy/pull/10621>`__: BUG: deallocate recursive closure in arrayprint.py -* `#10623 <https://github.com/numpy/numpy/pull/10623>`__: BUG: Correctly identify comma seperated dtype strings +* `#10623 <https://github.com/numpy/numpy/pull/10623>`__: BUG: Correctly identify comma separated dtype strings * `#10625 <https://github.com/numpy/numpy/pull/10625>`__: BUG: Improve the accuracy of the FFT implementation * `#10635 <https://github.com/numpy/numpy/pull/10635>`__: ENH: Implement initial kwarg for ufunc.add.reduce * `#10641 <https://github.com/numpy/numpy/pull/10641>`__: MAINT: Post 1.14.1 release updates for master branch @@ -343,7 +343,7 @@ A total of 438 pull requests were merged for this release. * `#10699 <https://github.com/numpy/numpy/pull/10699>`__: DOC: Grammar of np.gradient docstring * `#10702 <https://github.com/numpy/numpy/pull/10702>`__: TST, DOC: Upload devdocs and neps after circleci build * `#10703 <https://github.com/numpy/numpy/pull/10703>`__: MAINT: NEP process updates -* `#10708 <https://github.com/numpy/numpy/pull/10708>`__: BUG: fix problem with modifing pyf lines containing ';' in f2py +* `#10708 <https://github.com/numpy/numpy/pull/10708>`__: BUG: fix problem with modifying pyf lines containing ';' in f2py * `#10710 <https://github.com/numpy/numpy/pull/10710>`__: BUG: fix error message in numpy.select * `#10711 <https://github.com/numpy/numpy/pull/10711>`__: MAINT: Hard tab and whitespace cleanup. * `#10715 <https://github.com/numpy/numpy/pull/10715>`__: MAINT: Fixed C++ guard in f2py test. diff --git a/doc/changelog/1.16.5-changelog.rst b/doc/changelog/1.16.5-changelog.rst index 19374058d..c609d214c 100644 --- a/doc/changelog/1.16.5-changelog.rst +++ b/doc/changelog/1.16.5-changelog.rst @@ -37,14 +37,14 @@ A total of 23 pull requests were merged for this release. * `#13933 <https://github.com/numpy/numpy/pull/13933>`__: MAINT/BUG/DOC: Fix errors in _add_newdocs * `#13984 <https://github.com/numpy/numpy/pull/13984>`__: BUG: fix byte order reversal for datetime64[ns] * `#13994 <https://github.com/numpy/numpy/pull/13994>`__: MAINT,BUG: Use nbytes to also catch empty descr during allocation -* `#14042 <https://github.com/numpy/numpy/pull/14042>`__: BUG: np.array cleared errors occured in PyMemoryView_FromObject +* `#14042 <https://github.com/numpy/numpy/pull/14042>`__: BUG: np.array cleared errors occurred in PyMemoryView_FromObject * `#14043 <https://github.com/numpy/numpy/pull/14043>`__: BUG: Fixes for Undefined Behavior Sanitizer (UBSan) errors. * `#14044 <https://github.com/numpy/numpy/pull/14044>`__: BUG: ensure that casting to/from structured is properly checked. * `#14045 <https://github.com/numpy/numpy/pull/14045>`__: MAINT: fix histogram*d dispatchers * `#14046 <https://github.com/numpy/numpy/pull/14046>`__: BUG: further fixup to histogram2d dispatcher. * `#14052 <https://github.com/numpy/numpy/pull/14052>`__: BUG: Replace contextlib.suppress for Python 2.7 * `#14056 <https://github.com/numpy/numpy/pull/14056>`__: BUG: fix compilation of 3rd party modules with Py_LIMITED_API... -* `#14057 <https://github.com/numpy/numpy/pull/14057>`__: BUG: Fix memory leak in dtype from dict contructor +* `#14057 <https://github.com/numpy/numpy/pull/14057>`__: BUG: Fix memory leak in dtype from dict constructor * `#14058 <https://github.com/numpy/numpy/pull/14058>`__: DOC: Document array_function at a higher level. * `#14084 <https://github.com/numpy/numpy/pull/14084>`__: BUG, DOC: add new recfunctions to `__all__` * `#14162 <https://github.com/numpy/numpy/pull/14162>`__: BUG: Remove stray print that causes a SystemError on python 3.7 diff --git a/doc/changelog/1.17.0-changelog.rst b/doc/changelog/1.17.0-changelog.rst index debfb6f5b..4177c848f 100644 --- a/doc/changelog/1.17.0-changelog.rst +++ b/doc/changelog/1.17.0-changelog.rst @@ -276,7 +276,7 @@ A total of 531 pull requests were merged for this release. * `#12696 <https://github.com/numpy/numpy/pull/12696>`__: BUG: Fix leak of void scalar buffer info * `#12698 <https://github.com/numpy/numpy/pull/12698>`__: DOC: improve comments in copycast_isaligned * `#12700 <https://github.com/numpy/numpy/pull/12700>`__: ENH: chain additional exception on ufunc method lookup error -* `#12702 <https://github.com/numpy/numpy/pull/12702>`__: TST: Check FFT results for C/Fortran ordered and non contigous... +* `#12702 <https://github.com/numpy/numpy/pull/12702>`__: TST: Check FFT results for C/Fortran ordered and non contiguous... * `#12704 <https://github.com/numpy/numpy/pull/12704>`__: TST: pin Azure brew version for stability * `#12709 <https://github.com/numpy/numpy/pull/12709>`__: TST: add ppc64le to Travis CI matrix * `#12713 <https://github.com/numpy/numpy/pull/12713>`__: BUG: loosen kwargs requirements in ediff1d @@ -536,7 +536,7 @@ A total of 531 pull requests were merged for this release. * `#13503 <https://github.com/numpy/numpy/pull/13503>`__: ENH: Support object arrays in matmul * `#13504 <https://github.com/numpy/numpy/pull/13504>`__: DOC: Update links in PULL_REQUEST_TEMPLATE.md * `#13506 <https://github.com/numpy/numpy/pull/13506>`__: ENH: Add sparse option to np.core.numeric.indices -* `#13507 <https://github.com/numpy/numpy/pull/13507>`__: BUG: np.array cleared errors occured in PyMemoryView_FromObject +* `#13507 <https://github.com/numpy/numpy/pull/13507>`__: BUG: np.array cleared errors occurred in PyMemoryView_FromObject * `#13508 <https://github.com/numpy/numpy/pull/13508>`__: BUG: Removes ValueError for empty kwargs in arraymultiter_new * `#13518 <https://github.com/numpy/numpy/pull/13518>`__: MAINT: implement assert_array_compare without converting array... * `#13520 <https://github.com/numpy/numpy/pull/13520>`__: BUG: exp, log AVX loops do not use steps @@ -643,7 +643,7 @@ A total of 531 pull requests were merged for this release. * `#13815 <https://github.com/numpy/numpy/pull/13815>`__: MAINT: Correct intrinsic use on Windows * `#13818 <https://github.com/numpy/numpy/pull/13818>`__: TST: Add tests for ComplexWarning in astype * `#13819 <https://github.com/numpy/numpy/pull/13819>`__: DOC: Fix documented default value of ``__array_priority__`` for... -* `#13820 <https://github.com/numpy/numpy/pull/13820>`__: MAINT, DOC: Fix misspelled words in documetation. +* `#13820 <https://github.com/numpy/numpy/pull/13820>`__: MAINT, DOC: Fix misspelled words in documentation. * `#13821 <https://github.com/numpy/numpy/pull/13821>`__: MAINT: core: Fix a compiler warning. * `#13830 <https://github.com/numpy/numpy/pull/13830>`__: MAINT: Update tox for supported Python versions * `#13832 <https://github.com/numpy/numpy/pull/13832>`__: MAINT: remove pcg32 BitGenerator @@ -656,7 +656,7 @@ A total of 531 pull requests were merged for this release. * `#13849 <https://github.com/numpy/numpy/pull/13849>`__: DOC: np.random documentation cleanup and expansion. * `#13850 <https://github.com/numpy/numpy/pull/13850>`__: DOC: Update performance numbers * `#13851 <https://github.com/numpy/numpy/pull/13851>`__: MAINT: Update shippable.yml to remove Python 2 dependency -* `#13855 <https://github.com/numpy/numpy/pull/13855>`__: BUG: Fix memory leak in dtype from dict contructor +* `#13855 <https://github.com/numpy/numpy/pull/13855>`__: BUG: Fix memory leak in dtype from dict constructor * `#13856 <https://github.com/numpy/numpy/pull/13856>`__: MAINT: move location of bitgen.h * `#13858 <https://github.com/numpy/numpy/pull/13858>`__: BUG: do not force emulation of 128-bit arithmetic. * `#13859 <https://github.com/numpy/numpy/pull/13859>`__: DOC: Update performance numbers for PCG64 diff --git a/doc/neps/nep-0000.rst b/doc/neps/nep-0000.rst index 0a2dbdefb..56a332626 100644 --- a/doc/neps/nep-0000.rst +++ b/doc/neps/nep-0000.rst @@ -76,7 +76,7 @@ where ``<n>`` is an appropriately assigned four-digit number (e.g., ``nep-0000.rst``). The draft must use the :doc:`nep-template` file. Once the PR for the NEP is in place, a post should be made to the -mailing list containing the sections upto "Backward compatibility", +mailing list containing the sections up to "Backward compatibility", with the purpose of limiting discussion there to usage and impact. Discussion on the pull request will have a broader scope, also including details of implementation. diff --git a/doc/neps/nep-0021-advanced-indexing.rst b/doc/neps/nep-0021-advanced-indexing.rst index dab9ab022..8e525b0cb 100644 --- a/doc/neps/nep-0021-advanced-indexing.rst +++ b/doc/neps/nep-0021-advanced-indexing.rst @@ -108,7 +108,7 @@ array ``arr`` with shape ``(X, Y, Z)``: 3. ``arr[0, :, [0, 1]]`` has shape ``(2, Y)``, not ``(Y, 2)``! These first two cases are intuitive and consistent with outer indexing, but -this last case is quite surprising, even to many higly experienced NumPy users. +this last case is quite surprising, even to many highly experienced NumPy users. Mixed cases involving multiple array indices are also surprising, and only less problematic because the current behavior is so useless that it is rarely @@ -240,7 +240,7 @@ be deduced: 7. To ensure that existing subclasses of `ndarray` that override indexing do not inadvertently revert to default behavior for indexing attributes, these attribute should have explicit checks that disable them if - ``__getitem__`` or ``__setitem__`` has been overriden. + ``__getitem__`` or ``__setitem__`` has been overridden. Unlike plain indexing, the new indexing attributes are explicitly aimed at higher dimensional indexing, several additional changes should be implemented: @@ -319,7 +319,7 @@ of ``__getitem__`` on these attributes should test subclass has special handling for indexing and ``NotImplementedError`` should be raised, requiring that the indexing attributes is also explicitly overwritten. Likewise, implementations of ``__setitem__`` should check to see -if ``__setitem__`` is overriden. +if ``__setitem__`` is overridden. A further question is how to facilitate implementing the special attributes. Also there is the weird functionality where ``__setitem__`` calls diff --git a/doc/neps/nep-0030-duck-array-protocol.rst b/doc/neps/nep-0030-duck-array-protocol.rst index f98449ed6..635f10165 100644 --- a/doc/neps/nep-0030-duck-array-protocol.rst +++ b/doc/neps/nep-0030-duck-array-protocol.rst @@ -24,7 +24,7 @@ Detailed description NumPy's API, including array definitions, is implemented and mimicked in countless other projects. By definition, many of those arrays are fairly similar in how they operate to the NumPy standard. The introduction of -``__array_function__`` allowed dispathing of functions implemented by several +``__array_function__`` allowed dispatching of functions implemented by several of these projects directly via NumPy's API. This introduces a new requirement, returning the NumPy-like array itself, rather than forcing a coercion into a pure NumPy array. diff --git a/doc/neps/nep-0037-array-module.rst b/doc/neps/nep-0037-array-module.rst index 387356490..596798964 100644 --- a/doc/neps/nep-0037-array-module.rst +++ b/doc/neps/nep-0037-array-module.rst @@ -448,7 +448,7 @@ input arguments: This might be useful, but it's not clear if we really need it. Pint seems to get along OK without any explicit array creation routines (favoring multiplication by units, e.g., ``np.ones(5) * ureg.m``), and for the most part -Dask is also OK with existing ``__array_function__`` style overides (e.g., +Dask is also OK with existing ``__array_function__`` style overrides (e.g., favoring ``np.ones_like`` over ``np.ones``). Choosing whether to place an array on the CPU or GPU could be solved by `making array creation lazy <https://github.com/google/jax/pull/1668>`_. diff --git a/doc/source/reference/c-api/array.rst b/doc/source/reference/c-api/array.rst index 2eaf3a27a..e396ee020 100644 --- a/doc/source/reference/c-api/array.rst +++ b/doc/source/reference/c-api/array.rst @@ -1223,7 +1223,7 @@ Converting data types .. c:function:: int PyArray_ObjectType(PyObject* op, int mintype) - This function is superceded by :c:func:`PyArray_MinScalarType` and/or + This function is superseded by :c:func:`PyArray_MinScalarType` and/or :c:func:`PyArray_ResultType`. This function is useful for determining a common type that two or @@ -1237,7 +1237,7 @@ Converting data types .. c:function:: void PyArray_ArrayType( \ PyObject* op, PyArray_Descr* mintype, PyArray_Descr* outtype) - This function is superceded by :c:func:`PyArray_ResultType`. + This function is superseded by :c:func:`PyArray_ResultType`. This function works similarly to :c:func:`PyArray_ObjectType` (...) except it handles flexible arrays. The *mintype* argument can have @@ -1248,7 +1248,7 @@ Converting data types .. c:function:: PyArrayObject** PyArray_ConvertToCommonType( \ PyObject* op, int* n) - The functionality this provides is largely superceded by iterator + The functionality this provides is largely superseded by iterator :c:type:`NpyIter` introduced in 1.6, with flag :c:data:`NPY_ITER_COMMON_DTYPE` or with the same dtype parameter for all operands. @@ -1439,7 +1439,7 @@ An ndarray can have a data segment that is not a simple contiguous chunk of well-behaved memory you can manipulate. It may not be aligned with word boundaries (very important on some platforms). It might have its data in a different byte-order than the machine recognizes. It -might not be writeable. It might be in Fortan-contiguous order. The +might not be writeable. It might be in Fortran-contiguous order. The array flags are used to indicate what can be said about data associated with an array. @@ -2488,7 +2488,7 @@ an element copier function as a primitive.:: Array Iterators --------------- -As of NumPy 1.6.0, these array iterators are superceded by +As of NumPy 1.6.0, these array iterators are superseded by the new array iterator, :c:type:`NpyIter`. An array iterator is a simple way to access the elements of an diff --git a/doc/source/release/1.13.0-notes.rst b/doc/source/release/1.13.0-notes.rst index 5d8c932fe..9da9a99d7 100644 --- a/doc/source/release/1.13.0-notes.rst +++ b/doc/source/release/1.13.0-notes.rst @@ -243,7 +243,7 @@ It is similar to Matlab's square bracket notation for creating block matrices. ``isin`` function, improving on ``in1d`` ---------------------------------------- -The new function ``isin`` tests whether each element of an N-dimensonal +The new function ``isin`` tests whether each element of an N-dimensional array is present anywhere within a second array. It is an enhancement of ``in1d`` that preserves the shape of the first array. diff --git a/doc/source/release/1.14.0-notes.rst b/doc/source/release/1.14.0-notes.rst index 462631de6..8ee876fd3 100644 --- a/doc/source/release/1.14.0-notes.rst +++ b/doc/source/release/1.14.0-notes.rst @@ -43,7 +43,7 @@ New functions floating-point scalars unambiguously with control of rounding and padding. * ``PyArray_ResolveWritebackIfCopy`` and ``PyArray_SetWritebackIfCopyBase``, - new C-API functions useful in achieving PyPy compatibity. + new C-API functions useful in achieving PyPy compatibility. Deprecations diff --git a/doc/source/release/1.16.5-notes.rst b/doc/source/release/1.16.5-notes.rst index 5b6eb585b..5bf576fd0 100644 --- a/doc/source/release/1.16.5-notes.rst +++ b/doc/source/release/1.16.5-notes.rst @@ -51,14 +51,14 @@ A total of 23 pull requests were merged for this release. * `#13933 <https://github.com/numpy/numpy/pull/13933>`__: MAINT/BUG/DOC: Fix errors in _add_newdocs * `#13984 <https://github.com/numpy/numpy/pull/13984>`__: BUG: fix byte order reversal for datetime64[ns] * `#13994 <https://github.com/numpy/numpy/pull/13994>`__: MAINT,BUG: Use nbytes to also catch empty descr during allocation -* `#14042 <https://github.com/numpy/numpy/pull/14042>`__: BUG: np.array cleared errors occured in PyMemoryView_FromObject +* `#14042 <https://github.com/numpy/numpy/pull/14042>`__: BUG: np.array cleared errors occurred in PyMemoryView_FromObject * `#14043 <https://github.com/numpy/numpy/pull/14043>`__: BUG: Fixes for Undefined Behavior Sanitizer (UBSan) errors. * `#14044 <https://github.com/numpy/numpy/pull/14044>`__: BUG: ensure that casting to/from structured is properly checked. * `#14045 <https://github.com/numpy/numpy/pull/14045>`__: MAINT: fix histogram*d dispatchers * `#14046 <https://github.com/numpy/numpy/pull/14046>`__: BUG: further fixup to histogram2d dispatcher. * `#14052 <https://github.com/numpy/numpy/pull/14052>`__: BUG: Replace contextlib.suppress for Python 2.7 * `#14056 <https://github.com/numpy/numpy/pull/14056>`__: BUG: fix compilation of 3rd party modules with Py_LIMITED_API... -* `#14057 <https://github.com/numpy/numpy/pull/14057>`__: BUG: Fix memory leak in dtype from dict contructor +* `#14057 <https://github.com/numpy/numpy/pull/14057>`__: BUG: Fix memory leak in dtype from dict constructor * `#14058 <https://github.com/numpy/numpy/pull/14058>`__: DOC: Document array_function at a higher level. * `#14084 <https://github.com/numpy/numpy/pull/14084>`__: BUG, DOC: add new recfunctions to `__all__` * `#14162 <https://github.com/numpy/numpy/pull/14162>`__: BUG: Remove stray print that causes a SystemError on python 3.7 diff --git a/doc/source/release/1.18.0-notes.rst b/doc/source/release/1.18.0-notes.rst index d59f985cd..15e0ad77f 100644 --- a/doc/source/release/1.18.0-notes.rst +++ b/doc/source/release/1.18.0-notes.rst @@ -195,7 +195,7 @@ adjustment to user- facing code. Specifically, code that either disallowed the calls to ``numpy.isinf`` or ``numpy.isnan`` or checked that they raised an exception will require adaptation, and code that mistakenly called ``numpy.fmax`` and ``numpy.fmin`` instead of ``numpy.maximum`` or -``numpy.minimum`` respectively will requre adjustment. This also affects +``numpy.minimum`` respectively will require adjustment. This also affects ``numpy.nanmax`` and ``numpy.nanmin``. (`gh-14841 <https://github.com/numpy/numpy/pull/14841>`__) diff --git a/doc/source/user/c-info.beyond-basics.rst b/doc/source/user/c-info.beyond-basics.rst index 62e8139fe..9e9cd3067 100644 --- a/doc/source/user/c-info.beyond-basics.rst +++ b/doc/source/user/c-info.beyond-basics.rst @@ -110,7 +110,7 @@ to a small(er) fraction of the total time. Even if the interior of the loop is performed without a function call it can be advantageous to perform the inner loop over the dimension with the highest number of elements to take advantage of speed enhancements available on micro- -processors that use pipelining to enhance fundmental operations. +processors that use pipelining to enhance fundamental operations. The :c:func:`PyArray_IterAllButAxis` ( ``array``, ``&dim`` ) constructs an iterator object that is modified so that it will not iterate over the |