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Merge pull request #9075 from scop/spelling
ENH: Spelling fixes
2 parents 23b0cf3 + ef56845 commit c11628a

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‎doc/Py3K.rst.txt

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@@ -721,7 +721,7 @@ keep in mind.
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warnings if they are initialized in the old way.
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2) The compare slot has been made reserved in order to preserve binary
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compatibily while the tp_compare function went away. The tp_richcompare
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compatibility while the tp_compare function went away. The tp_richcompare
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function has replaced it and we need to use that slot instead. This will
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likely require modifications in the searchsorted functions and generic sorts
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that currently use the compare function.

‎doc/cdoc/Doxyfile

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@@ -292,7 +292,7 @@ TYPEDEF_HIDES_STRUCT = NO
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# causing a significant performance penality.
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# If the system has enough physical memory increasing the cache will improve the
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# performance by keeping more symbols in memory. Note that the value works on
295-
# a logarithmic scale so increasing the size by one will rougly double the
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# a logarithmic scale so increasing the size by one will roughly double the
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# memory usage. The cache size is given by this formula:
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# 2^(16+SYMBOL_CACHE_SIZE). The valid range is 0..9, the default is 0,
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# corresponding to a cache size of 2^16 = 65536 symbols

‎doc/f2py/HISTORY.txt

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@@ -601,7 +601,7 @@ Public Release 2.32.225-1419
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- "From sky" program group is created only if ``groupcounter<1``.
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See TODO.txt.
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- Added support for ``dimension(n:*)``, ``dimension(*:n)``. They are
604-
treated as ``dimesnion(*)`` by f2py.
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treated as ``dimension(*)`` by f2py.
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- Fixed parameter substitution (this fixes TODO item by Patrick
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LeGresley, 22 Aug 2001).
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‎doc/f2py/apps.tex

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@@ -23,7 +23,7 @@ \subsection{Example: wrapping C library \texttt{fftw}}
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fftw_destroy_plan(p);
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}
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\end{verbatim}
26-
and here follows the corresponding siganture file (created manually):
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and here follows the corresponding signature file (created manually):
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\begin{verbatim}
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!%f90
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! File: fftw.f90

‎doc/f2py/multiarray/fortran_array_from_pyobj.txt

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@@ -157,7 +157,7 @@ Main goal:
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==========
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Our goal is to generate Python C/API functions py_fun and py_cun such
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that their usage in Python would be identical. The cruical part of
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that their usage in Python would be identical. The crucial part of
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their implementation are in functions that take a PyObject and
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return a PyArrayObject such that it is contiguous and its data pointer
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is suitable for passing on to the arguments of C or Fortran functions.

‎doc/f2py/multiarray/transpose.txt

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@@ -179,7 +179,7 @@ Times are in seconds, for a 900*904 matrix:
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380 NAG 467 disc copy
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1.03 1.14 .391 .177
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Compare two vector algortihms, one I wrote and the second a matrix
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Compare two vector algorithms, one I wrote and the second a matrix
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copy:
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My Alg Matrix copy

‎doc/f2py/multiarrays.txt

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@@ -81,7 +81,7 @@ so that the checks can be performed in the proper order.
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effect but they are not so safe and I will not discuss about them here).
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Hint: If the array a should be a work array (as used frequently in
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Fortran) and you a too lazy (its good lazyness;) to provide it (in Python)
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Fortran) and you a too lazy (its good laziness;) to provide it (in Python)
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then you can define it as optional by ediding the signature:
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subroutine foo(l,m,n,a)
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integer :: l

‎doc/release/1.13.0-notes.rst

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@@ -268,7 +268,7 @@ versions.
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NumPy may be built with relaxed stride checking debugging
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---------------------------------------------------------
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Setting NPY_RELAXED_STRIDES_DEBUG=1 in the enviroment when relaxed stride
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Setting NPY_RELAXED_STRIDES_DEBUG=1 in the environment when relaxed stride
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checking is enabled will cause NumPy to be compiled with the affected strides
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set to the maximum value of npy_intp in order to help detect invalid usage of
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the strides in downstream projects. When enabled, invalid usage often results

‎doc/source/f2py/signature-file.rst

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@@ -284,7 +284,7 @@ Other statements:
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module`` block then the second multiline block is inserted
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after the definition of external routines.
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When used inside ``<routine singature>``, then given C code will
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When used inside ``<routine signature>``, then given C code will
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be inserted to the corresponding wrapper function just after
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declaring variables but before any C statements. So, ``usercode``
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follow-up can contain both declarations and C statements.

‎doc/source/reference/arrays.dtypes.rst

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@@ -186,7 +186,7 @@ Built-in Python types
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================ ===============
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Note that ``str`` refers to either null terminated bytes or unicode strings
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depending on the Python version. In code targetting both Python 2 and 3
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depending on the Python version. In code targeting both Python 2 and 3
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``np.unicode_`` should be used as a dtype for strings.
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See :ref:`Note on string types<string-dtype-note>`.
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‎doc/source/reference/c-api.ufunc.rst

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or :c:data:`Py_None`. The callable object will only be used if
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:c:data:`UFUNC_ERR_CALL` is set as the desired error checking
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method. This routine manages the GIL and is safe to call even
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after releasing the GIL. If an error in the IEEE-compatibile
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after releasing the GIL. If an error in the IEEE-compatible
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hardware is determined a -1 is returned, otherwise a 0 is
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returned.
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‎doc/source/reference/ufuncs.rst

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@@ -177,7 +177,7 @@ Casting Rules
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.. note::
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In NumPy 1.6.0, a type promotion API was created to encapsulate the
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mechansim for determining output types. See the functions
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mechanism for determining output types. See the functions
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:func:`result_type`, :func:`promote_types`, and
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:func:`min_scalar_type` for more details.
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‎doc/source/user/numpy-for-matlab-users.rst

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@@ -162,7 +162,7 @@ There are pros and cons to using both:
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- ``:)`` ``A*B`` is matrix multiplication, so more convenient for
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linear algebra.
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- ``<:(`` Element-wise multiplication requires calling a function,
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``multipy(A,B)``.
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``multiply(A,B)``.
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- ``<:(`` The use of operator overloading is a bit illogical: ``*``
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does not work elementwise but ``/`` does.
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‎numpy/core/_internal.py

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@@ -132,7 +132,7 @@ def _array_descr(descriptor):
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# Note that the name numpy.core._internal._reconstruct is embedded in
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# pickles of ndarrays made with NumPy before release 1.0
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# so don't remove the name here, or you'll
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# break backward compatibilty.
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# break backward compatibility.
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def _reconstruct(subtype, shape, dtype):
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return ndarray.__new__(subtype, shape, dtype)
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‎numpy/core/einsumfunc.py

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@@ -46,7 +46,7 @@ def _find_contraction(positions, input_sets, output_set):
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"""
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Finds the contraction for a given set of input and output sets.
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49-
Paramaters
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Parameters
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----------
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positions : iterable
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Integer positions of terms used in the contraction.
@@ -108,7 +108,7 @@ def _optimal_path(input_sets, output_set, idx_dict, memory_limit):
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on ``memory_limit`` and returns the lowest cost path. This algorithm
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scales factorial with respect to the elements in the list ``input_sets``.
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Paramaters
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Parameters
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----------
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input_sets : list
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List of sets that represent the lhs side of the einsum subscript
@@ -187,7 +187,7 @@ def _greedy_path(input_sets, output_set, idx_dict, memory_limit):
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``memory_limit``. This algorithm scales cubically with respect to the
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number of elements in the list ``input_sets``.
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Paramaters
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Parameters
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----------
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input_sets : list
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List of sets that represent the lhs side of the einsum subscript

‎numpy/core/include/numpy/ufuncobject.h

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@@ -78,7 +78,7 @@ typedef int (PyUFunc_TypeResolutionFunc)(
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*
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* ufunc: The ufunc object.
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* dtypes: An array which has been populated with dtypes,
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* in most cases by the type resolution funciton
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* in most cases by the type resolution function
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* for the same ufunc.
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* fixed_strides: For each input/output, either the stride that
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* will be used every time the function is called

‎numpy/core/machar.py

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@@ -30,7 +30,7 @@ class MachAr(object):
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eps : float
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Floating-point number ``beta**machep`` (floating point precision)
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negep : int
33-
Exponent of the smallest power of `ibeta` that, substracted
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Exponent of the smallest power of `ibeta` that, subtracted
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from 1.0, gives something different from 1.0.
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epsneg : float
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Floating-point number ``beta**negep``.

‎numpy/core/src/multiarray/convert_datatype.c

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@@ -1530,7 +1530,7 @@ static int min_scalar_type_num(char *valueptr, int type_num,
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}
15311531
/*
15321532
* The code to demote complex to float is disabled for now,
1533-
* as forcing complex by adding 0j is probably desireable.
1533+
* as forcing complex by adding 0j is probably desirable.
15341534
*/
15351535
case NPY_CFLOAT: {
15361536
/*

‎numpy/core/src/multiarray/ctors.c

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@@ -280,7 +280,7 @@ _update_descr_and_dimensions(PyArray_Descr **des, npy_intp *newdims,
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npy_intp *mystrides;
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282282
mystrides = newstrides + oldnd;
283-
/* Make new strides -- alwasy C-contiguous */
283+
/* Make new strides -- always C-contiguous */
284284
tempsize = (*des)->elsize;
285285
for (i = numnew - 1; i >= 0; i--) {
286286
mystrides[i] = tempsize;

‎numpy/core/src/multiarray/datetime_busdaycal.c

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234234
/* Sort the dates */
235235
qsort(dates, count, sizeof(npy_datetime), &qsort_datetime_compare);
236236

237-
/* Sweep throught the array, eliminating unnecessary values */
237+
/* Sweep through the array, eliminating unnecessary values */
238238
trimcount = 0;
239239
for (i = 0; i < count; ++i) {
240240
npy_datetime date = dates[i];

‎numpy/core/src/multiarray/getset.c

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429429
* Also needing change: strides, itemsize
430430
*
431431
* Either itemsize is exactly the same or the array is single-segment
432-
* (contiguous or fortran) with compatibile dimensions The shape and strides
432+
* (contiguous or fortran) with compatible dimensions The shape and strides
433433
* will be adjusted in that case as well.
434434
*/
435435
static int

‎numpy/core/src/multiarray/hashdescr.c

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253253
}
254254

255255
/*
256-
* Return 0 if successfull
256+
* Return 0 if successful
257257
*/
258258
static int _PyArray_DescrHashImp(PyArray_Descr *descr, npy_hash_t *hash)
259259
{

‎numpy/core/src/multiarray/iterators.c

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type = PyArray_DESCR(self->ao);
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913913
/*
914-
* Check for Boolean -- this is first becasue
914+
* Check for Boolean -- this is first because
915915
* Bool is a subclass of Int
916916
*/
917917
if (PyBool_Check(ind)) {

‎numpy/core/src/multiarray/mapping.c

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* The mapiter object must be created new each time. It does not work
33063306
* to bind to a new array, and continue.
33073307
*
3308-
* This was the orginal intention, but currently that does not work.
3308+
* This was the original intention, but currently that does not work.
33093309
* Do not expose the MapIter_Type to Python.
33103310
*
33113311
* The original mapiter(indexobj); mapiter.bind(a); idea is now fully

‎numpy/core/src/multiarray/multiarraymodule.c

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35573557
char *cmp_str;
35583558
Py_ssize_t strlength;
35593559
PyObject *res = NULL;
3560-
static char msg[] = "comparision must be '==', '!=', '<', '>', '<=', '>='";
3560+
static char msg[] = "comparison must be '==', '!=', '<', '>', '<=', '>='";
35613561
static char *kwlist[] = {"a1", "a2", "cmp", "rstrip", NULL};
35623562

35633563
if (!PyArg_ParseTupleAndKeywords(args, kwds, "OOs#O&:compare_chararrays",

‎numpy/core/src/multiarray/shape.c

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294294

295295

296296

297-
/* For back-ward compatability -- Not recommended */
297+
/* For backward compatibility -- Not recommended */
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299299
/*NUMPY_API
300300
* Reshape

‎numpy/core/src/private/lowlevel_strided_loops.h

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214214
/*
215215
* This is identical to PyArray_GetDTypeTransferFunction, but returns a
216216
* transfer function which also takes a mask as a parameter. The mask is used
217-
* to determine which values to copy, and data is transfered exactly when
217+
* to determine which values to copy, and data is transferred exactly when
218218
* mask[i*mask_stride] is true.
219219
*
220220
* If move_references is true, values which are not copied to the
@@ -286,7 +286,7 @@ PyArray_CastRawArrays(npy_intp count,
286286
* count:
287287
* How many elements to transfer
288288
* src_itemsize:
289-
* How big each element is. If transfering between elements of different
289+
* How big each element is. If transferring between elements of different
290290
* sizes, for example a casting operation, the 'stransfer' function
291291
* should be specialized for that, in which case 'stransfer' will use
292292
* this parameter as the source item size.

‎numpy/core/src/umath/ufunc_object.c

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223223
NPY_NO_EXPORT int
224224
PyUFunc_checkfperr(int errmask, PyObject *errobj, int *first)
225225
{
226-
/* clearing is done for backward compatiblity */
226+
/* clearing is done for backward compatibility */
227227
int retstatus = npy_clear_floatstatus();
228228

229229
return PyUFunc_handlefperr(errmask, errobj, retstatus, first);

‎numpy/core/tests/test_einsum.py

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643643

644644
def test_einsum_fixed_collapsingbug(self):
645645
# Issue #5147.
646-
# The bug only occured when output argument of einssum was used.
646+
# The bug only occurred when output argument of einssum was used.
647647
x = np.random.normal(0, 1, (5, 5, 5, 5))
648648
y1 = np.zeros((5, 5))
649649
np.einsum('aabb->ab', x, out=y1)

‎numpy/core/tests/test_multiarray.py

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42704270
x.resize()
42714271
assert_array_equal(x, np.eye(3))
42724272

4273-
def test_invalid_arguements(self):
4273+
def test_invalid_arguments(self):
42744274
self.assertRaises(TypeError, np.eye(3).resize, 'hi')
42754275
self.assertRaises(ValueError, np.eye(3).resize, -1)
42764276
self.assertRaises(TypeError, np.eye(3).resize, order=1)

‎numpy/core/tests/test_nditer.py

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13861386
assert_equal(i.operands[1].dtype, np.dtype('f4'))
13871387

13881388
def test_iter_allocate_output_opaxes():
1389-
# Specifing op_axes should work
1389+
# Specifying op_axes should work
13901390

13911391
a = arange(24, dtype='i4').reshape(2, 3, 4)
13921392
i = nditer([None, a], [], [['writeonly', 'allocate'], ['readonly']],

‎numpy/f2py/src/fortranobjec 97AE t.c

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370370
Py_DECREF(arr);
371371
}
372372
} else return (fp->defs[i].func==NULL?-1:0);
373-
return 0; /* succesful */
373+
return 0; /* successful */
374374
}
375375
if (fp->dict == NULL) {
376376
fp->dict = PyDict_New();

‎numpy/lib/_datasource.py

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4444

4545
# Using a class instead of a module-level dictionary
46-
# to reduce the inital 'import numpy' overhead by
46+
# to reduce the initial 'import numpy' overhead by
4747
# deferring the import of bz2 and gzip until needed
4848

4949
# TODO: .zip support, .tar support?

‎numpy/lib/function_base.py

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16071607
16081608
Notes
16091609
-----
1610-
Assuming that :math:`f\\in C^{3}` (i.e., :math:`f` has at least 3 continous
1610+
Assuming that :math:`f\\in C^{3}` (i.e., :math:`f` has at least 3 continuous
16111611
derivatives) and let be :math:`h_{*}` a non homogeneous stepsize, the
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spacing the finite difference coefficients are computed by minimising
16131613
the consistency error :math:`\\eta_{i}`:

‎numpy/lib/index_tricks.py

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254254
if not isinstance(key, tuple):
255255
key = (key,)
256256

257-
# copy attributes, since they can be overriden in the first argument
257+
# copy attributes, since they can be overridden in the first argument
258258
trans1d = self.trans1d
259259
ndmin = self.ndmin
260260
matrix = self.matrix

‎numpy/lib/info.py

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103103
polyint Integrate polynomial
104104
polyder Differentiate polynomial
105105
polyadd Add polynomials
106-
polysub Substract polynomials
106+
polysub Subtract polynomials
107107
polymul Multiply polynomials
108108
polydiv Divide polynomials
109109
polyval Evaluate polynomial at given argument

‎numpy/lib/shape_base.py

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186186
Notes
187187
------
188188
This function is equivalent to tuple axis arguments to reorderable ufuncs
189-
with keepdims=True. Tuple axis arguments to ufuncs have been availabe since
189+
with keepdims=True. Tuple axis arguments to ufuncs have been available since
190190
version 1.7.0.
191191
192192
Examples

‎numpy/lib/tests/test_function_base.py

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27872787
interpolation="higher").shape, (3, 3, 5, 6))
27882788

27892789
def test_scalar_q(self):
2790-
# test for no empty dimensions for compatiblity with old percentile
2790+
# test for no empty dimensions for compatibility with old percentile
27912791
x = np.arange(12).reshape(3, 4)
27922792
assert_equal(np.percentile(x, 50), 5.5)
27932793
self.assertTrue(np.isscalar(np.percentile(x, 50)))
@@ -2808,7 +2808,7 @@ def test_scalar_q(self):
28082808
assert_equal(np.percentile(x, 50, axis=1, out=out), r1)
28092809
assert_equal(out, r1)
28102810

2811-
# test for no empty dimensions for compatiblity with old percentile
2811+
# test for no empty dimensions for compatibility with old percentile
28122812
x = np.arange(12).reshape(3, 4)
28132813
assert_equal(np.percentile(x, 50, interpolation='lower'), 5.)
28142814
self.assertTrue(np.isscalar(np.percentile(x, 50)))

‎numpy/lib/tests/test_stride_tricks.py

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@@ -407,7 +407,7 @@ def test_writeable():
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_, result = broadcast_arrays(0, original)
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assert_equal(result.flags.writeable, False)
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# regresssion test for GH6491
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# regression test for GH6491
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shape = (2,)
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strides = [0]
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tricky_array = as_strided(np.array(0), shape, strides)

‎numpy/lib/utils.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -339,7 +339,7 @@ def who(vardict=None):
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#-----------------------------------------------------------------------------
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# NOTE: pydoc defines a help function which works simliarly to this
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# NOTE: pydoc defines a help function which works similarly to this
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# except it uses a pager to take over the screen.
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# combine name and arguments and split to multiple lines of width

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