diff options
Diffstat (limited to 'doc/source/reference')
| -rw-r--r-- | doc/source/reference/arrays.ndarray.rst | 4 | ||||
| -rw-r--r-- | doc/source/reference/c-api/array.rst | 2 | ||||
| -rw-r--r-- | doc/source/reference/random/multithreading.rst | 2 |
3 files changed, 2 insertions, 6 deletions
diff --git a/doc/source/reference/arrays.ndarray.rst b/doc/source/reference/arrays.ndarray.rst index 831d211bc..47692c8b4 100644 --- a/doc/source/reference/arrays.ndarray.rst +++ b/doc/source/reference/arrays.ndarray.rst @@ -512,10 +512,6 @@ Arithmetic: - Any third argument to :func:`pow()` is silently ignored, as the underlying :func:`ufunc <power>` takes only two arguments. - - The three division operators are all defined; :obj:`div` is active - by default, :obj:`truediv` is active when - :obj:`__future__` division is in effect. - - Because :class:`ndarray` is a built-in type (written in C), the ``__r{op}__`` special methods are not directly defined. diff --git a/doc/source/reference/c-api/array.rst b/doc/source/reference/c-api/array.rst index c910efa60..2eaf3a27a 100644 --- a/doc/source/reference/c-api/array.rst +++ b/doc/source/reference/c-api/array.rst @@ -2514,7 +2514,7 @@ this useful approach to looping over an array. stride and that axis will be used. .. c:function:: PyObject *PyArray_BroadcastToShape( \ - PyObject* arr, npy_intp *dimensions, int nd) + PyObject* arr, npy_intp const *dimensions, int nd) Return an array iterator that is broadcast to iterate as an array of the shape provided by *dimensions* and *nd*. diff --git a/doc/source/reference/random/multithreading.rst b/doc/source/reference/random/multithreading.rst index a0a31d0ea..8502429ce 100644 --- a/doc/source/reference/random/multithreading.rst +++ b/doc/source/reference/random/multithreading.rst @@ -24,7 +24,7 @@ seed will produce the same outputs. import concurrent.futures import numpy as np - class MultithreadedRNG(object): + class MultithreadedRNG: def __init__(self, n, seed=None, threads=None): rg = PCG64(seed) if threads is None: |