diff options
Diffstat (limited to 'numpy/add_newdocs.py')
| -rw-r--r-- | numpy/add_newdocs.py | 47 |
1 files changed, 1 insertions, 46 deletions
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py index 09311a536..0a48f1ade 100644 --- a/numpy/add_newdocs.py +++ b/numpy/add_newdocs.py @@ -2174,43 +2174,6 @@ add_newdoc('numpy.core', 'einsum', """) -add_newdoc('numpy.core', 'alterdot', - """ - Change `dot`, `vdot`, and `inner` to use accelerated BLAS functions. - - Typically, as a user of Numpy, you do not explicitly call this function. If - Numpy is built with an accelerated BLAS, this function is automatically - called when Numpy is imported. - - When Numpy is built with an accelerated BLAS like ATLAS, these functions - are replaced to make use of the faster implementations. The faster - implementations only affect float32, float64, complex64, and complex128 - arrays. Furthermore, the BLAS API only includes matrix-matrix, - matrix-vector, and vector-vector products. Products of arrays with larger - dimensionalities use the built in functions and are not accelerated. - - See Also - -------- - restoredot : `restoredot` undoes the effects of `alterdot`. - - """) - -add_newdoc('numpy.core', 'restoredot', - """ - Restore `dot`, `vdot`, and `innerproduct` to the default non-BLAS - implementations. - - Typically, the user will only need to call this when troubleshooting and - installation problem, reproducing the conditions of a build without an - accelerated BLAS, or when being very careful about benchmarking linear - algebra operations. - - See Also - -------- - alterdot : `restoredot` undoes the effects of `alterdot`. - - """) - add_newdoc('numpy.core', 'vdot', """ vdot(a, b) @@ -3834,7 +3797,7 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('put', add_newdoc('numpy.core.multiarray', 'copyto', """ - copyto(dst, src, casting='same_kind', where=None, preservena=False) + copyto(dst, src, casting='same_kind', where=None) Copies values from one array to another, broadcasting as necessary. @@ -3862,9 +3825,6 @@ add_newdoc('numpy.core.multiarray', 'copyto', A boolean array which is broadcasted to match the dimensions of `dst`, and selects elements to copy from `src` to `dst` wherever it contains the value True. - preservena : bool, optional - If set to True, leaves any NA values in `dst` untouched. This - is similar to the "hard mask" feature in numpy.ma. """) @@ -3879,11 +3839,6 @@ add_newdoc('numpy.core.multiarray', 'putmask', If `values` is not the same size as `a` and `mask` then it will repeat. This gives behavior different from ``a[mask] = values``. - .. note:: The `putmask` functionality is also provided by `copyto`, which - can be significantly faster and in addition is NA-aware - (`preservena` keyword). Replacing `putmask` with - ``np.copyto(a, values, where=mask)`` is recommended. - Parameters ---------- a : array_like |