Merge pull request numpy#27454 from SMAntony/pycon-doc

DOC: Remove outdated versionadded/changed directives

Author: charris

doc/source/reference/arrays.datetime.rst

@@ -6,8 +6,6 @@
 Datetimes and timedeltas
 ************************
 
-.. versionadded:: 1.7.0
-
 Starting in NumPy 1.7, there are core array data types which natively
 support datetime functionality. The data type is called :class:`datetime64`,
 so named because :class:`~datetime.datetime` is already taken by the Python standard library.

doc/source/reference/c-api/array.rst

@@ -66,15 +66,11 @@ and its sub-types).
 
 .. c:function:: void PyArray_ENABLEFLAGS(PyArrayObject* arr, int flags)
 
-    .. versionadded:: 1.7
-
     Enables the specified array flags. This function does no validation,
     and assumes that you know what you're doing.
 
 .. c:function:: void PyArray_CLEARFLAGS(PyArrayObject* arr, int flags)
 
-    .. versionadded:: 1.7
-
     Clears the specified array flags. This function does no validation,
     and assumes that you know what you're doing.
 
@@ -97,8 +93,6 @@ and its sub-types).
 
 .. c:function:: npy_intp *PyArray_SHAPE(PyArrayObject *arr)
 
-    .. versionadded:: 1.7
-
     A synonym for :c:func:`PyArray_DIMS`, named to be consistent with the
     `shape <numpy.ndarray.shape>` usage within Python.
 
@@ -157,8 +151,6 @@ and its sub-types).
 
 .. c:function:: PyArray_Descr *PyArray_DTYPE(PyArrayObject* arr)
 
-    .. versionadded:: 1.7
-
     A synonym for PyArray_DESCR, named to be consistent with the
     'dtype' usage within Python.
 
@@ -275,8 +267,6 @@ From scratch
         PyArrayObject* prototype, NPY_ORDER order, PyArray_Descr* descr, \
         int subok)
 
-    .. versionadded:: 1.6
-
     This function steals a reference to *descr* if it is not NULL.
     This array creation routine allows for the convenient creation of
     a new array matching an existing array's shapes and memory layout,
@@ -406,8 +396,6 @@ From scratch
 
 .. c:function:: int PyArray_SetBaseObject(PyArrayObject* arr, PyObject* obj)
 
-    .. versionadded:: 1.7
-
     This function **steals a reference** to ``obj`` and sets it as the
     base property of ``arr``.
 
@@ -934,8 +922,6 @@ argument must be a :c:expr:`PyObject *` that can be directly interpreted as a
     called on flexible dtypes. Types that are attached to an array will always
     be sized, hence the array form of this macro not existing.
 
-    .. versionchanged:: 1.18
-
     For structured datatypes with no fields this function now returns False.
 
 .. c:function:: int PyTypeNum_ISUSERDEF(int num)
@@ -1065,8 +1051,6 @@ Converting data types
 .. c:function:: int PyArray_CanCastTypeTo( \
         PyArray_Descr* fromtype, PyArray_Descr* totype, NPY_CASTING casting)
 
-    .. versionadded:: 1.6
-
     Returns non-zero if an array of data type *fromtype* (which can
     include flexible types) can be cast safely to an array of data
     type *totype* (which can include flexible types) according to
@@ -1081,8 +1065,6 @@ Converting data types
 .. c:function:: int PyArray_CanCastArrayTo( \
         PyArrayObject* arr, PyArray_Descr* totype, NPY_CASTING casting)
 
-    .. versionadded:: 1.6
-
     Returns non-zero if *arr* can be cast to *totype* according
     to the casting rule given in *casting*.  If *arr* is an array
     scalar, its value is taken into account, and non-zero is also
@@ -1096,8 +1078,6 @@ Converting data types
         internally.  It is currently provided for backwards compatibility,
         but expected to be eventually deprecated.
 
-    .. versionadded:: 1.6
-
     If *arr* is an array, returns its data type descriptor, but if
     *arr* is an array scalar (has 0 dimensions), it finds the data type
     of smallest size to which the value may be converted
@@ -1110,8 +1090,6 @@ Converting data types
 .. c:function:: PyArray_Descr* PyArray_PromoteTypes( \
         PyArray_Descr* type1, PyArray_Descr* type2)
 
-    .. versionadded:: 1.6
-
     Finds the data type of smallest size and kind to which *type1* and
     *type2* may be safely converted. This function is symmetric and
     associative. A string or unicode result will be the proper size for
@@ -1121,8 +1099,6 @@ Converting data types
         npy_intp narrs, PyArrayObject **arrs, npy_intp ndtypes, \
         PyArray_Descr **dtypes)
 
-    .. versionadded:: 1.6
-
     This applies type promotion to all the input arrays and dtype
     objects, using the NumPy rules for combining scalars and arrays, to
     determine the output type for an operation with the given set of
@@ -1161,11 +1137,6 @@ Converting data types
     ``DECREF`` 'd or a memory-leak will occur. The example template-code
     below shows a typical usage:
 
-    .. versionchanged:: 1.18.0
-       A mix of scalars and zero-dimensional arrays now produces a type
-       capable of holding the scalar value.
-       Previously priority was given to the dtype of the arrays.
-
     .. code-block:: c
 
         mps = PyArray_ConvertToCommonType(obj, &n);
@@ -2421,8 +2392,6 @@ Item selection and manipulation
 
 .. c:function:: npy_intp PyArray_CountNonzero(PyArrayObject* self)
 
-    .. versionadded:: 1.6
-
     Counts the number of non-zero elements in the array object *self*.
 
 .. c:function:: PyObject* PyArray_Nonzero(PyArrayObject* self)
@@ -2682,8 +2651,6 @@ Array Functions
 .. c:function:: PyObject* PyArray_MatrixProduct2( \
         PyObject* obj1, PyObject* obj, PyArrayObject* out)
 
-    .. versionadded:: 1.6
-
     Same as PyArray_MatrixProduct, but store the result in *out*.  The
     output array must have the correct shape, type, and be
     C-contiguous, or an exception is raised.
@@ -2693,8 +2660,6 @@ Array Functions
         PyArray_Descr* dtype, NPY_ORDER order, NPY_CASTING casting, \
         PyArrayObject* out)
 
-    .. versionadded:: 1.6
-
     Applies the Einstein summation convention to the array operands
     provided, returning a new array or placing the result in *out*.
     The string in *subscripts* is a comma separated list of index
@@ -2786,8 +2751,6 @@ Other functions
 Auxiliary data with object semantics
 ------------------------------------
 
-.. versionadded:: 1.7.0
-
 .. c:type:: NpyAuxData
 
 When working with more complex dtypes which are composed of other dtypes,
@@ -3069,8 +3032,6 @@ Broadcasting (multi-iterators)
 Neighborhood iterator
 ---------------------
 
-.. versionadded:: 1.4.0
-
 Neighborhood iterators are subclasses of the iterator object, and can be used
 to iter over a neighborhood of a point. For example, you may want to iterate
 over every voxel of a 3d image, and for every such voxel, iterate over an
@@ -4069,8 +4030,6 @@ extension with the lowest :c:data:`NPY_FEATURE_VERSION` as possible.
 
 .. c:function:: unsigned int PyArray_GetNDArrayCFeatureVersion(void)
 
-    .. versionadded:: 1.4.0
-
     This just returns the value :c:data:`NPY_FEATURE_VERSION`.
     :c:data:`NPY_FEATURE_VERSION` changes whenever the API changes (e.g. a
     function is added). A changed value does not always require a recompile.
@@ -4467,8 +4426,6 @@ Enumerated Types
 
 .. c:enum:: NPY_CASTING
 
-    .. versionadded:: 1.6
-
     An enumeration type indicating how permissive data conversions should
     be. This is used by the iterator added in NumPy 1.6, and is intended
     to be used more broadly in a future version.

doc/source/reference/c-api/coremath.rst

@@ -185,8 +185,6 @@ Those can be useful for precise floating point comparison.
     * NPY_FPE_UNDERFLOW
     * NPY_FPE_INVALID
 
-    .. versionadded:: 1.15.0
-
 .. c:function:: int npy_clear_floatstatus()
 
     Clears the floating point status. Returns the previous status mask.
@@ -201,8 +199,6 @@ Those can be useful for precise floating point comparison.
     prevent aggressive compiler optimizations from reordering this function call.
     Returns the previous status mask.
 
-    .. versionadded:: 1.15.0
-
 .. _complex-numbers:
 
 Support for complex numbers

doc/source/reference/c-api/dtype.rst

@@ -1,3 +1,5 @@
+
+
 Data type API
 =============
 

doc/source/reference/c-api/iterator.rst

@@ -7,8 +7,6 @@ Array iterator API
    pair: iterator; C-API
    pair: C-API; iterator
 
-.. versionadded:: 1.6
-
 Array iterator
 --------------
 
@@ -639,8 +637,6 @@ Construction and destruction
 
 .. c:macro:: NPY_ITER_ARRAYMASK
 
-    .. versionadded:: 1.7
-
     Indicates that this operand is the mask to use for
     selecting elements when writing to operands which have
     the :c:data:`NPY_ITER_WRITEMASKED` flag applied to them.
@@ -663,8 +659,6 @@ Construction and destruction
 
 .. c:macro:: NPY_ITER_WRITEMASKED
 
-    .. versionadded:: 1.7
-
     This array is the mask for all `writemasked <numpy.nditer>`
     operands. Code uses the ``writemasked`` flag which indicates 
     that only elements where the chosen ARRAYMASK operand is True
@@ -1127,8 +1121,6 @@ Construction and destruction
 
 .. c:function:: npy_bool NpyIter_IsFirstVisit(NpyIter* iter, int iop)
 
-    .. versionadded:: 1.7
-
     Checks to see whether this is the first time the elements of the
     specified reduction operand which the iterator points at are being
     seen for the first time. The function returns a reasonable answer

doc/source/reference/random/c-api.rst

@@ -3,8 +3,6 @@ C API for random
 
 .. currentmodule:: numpy.random
 
-.. versionadded:: 1.19.0
-
 Access to various distributions below is available via Cython or C-wrapper
 libraries like CFFI. All the functions accept a :c:type:`bitgen_t` as their
 first argument.  To access these from Cython or C, you must link with the

doc/source/reference/routines.linalg.rst

@@ -139,8 +139,6 @@ Exceptions
 Linear algebra on several matrices at once
 ------------------------------------------
 
-.. versionadded:: 1.8.0
-
 Several of the linear algebra routines listed above are able to
 compute results for several matrices at once, if they are stacked into
 the same array.

doc/source/reference/routines.polynomials.chebyshev.rst

@@ -1,5 +1,3 @@
-.. versionadded:: 1.4.0
-
 .. automodule:: numpy.polynomial.chebyshev
    :no-members:
    :no-inherited-members:

doc/source/reference/routines.polynomials.hermite.rst

@@ -1,5 +1,3 @@
-.. versionadded:: 1.6.0
-
 .. automodule:: numpy.polynomial.hermite
    :no-members:
    :no-inherited-members:

doc/source/reference/routines.polynomials.laguerre.rst

@@ -1,5 +1,3 @@
-.. versionadded:: 1.6.0
-
 .. automodule:: numpy.polynomial.laguerre
    :no-members:
    :no-inherited-members: