diff options
Diffstat (limited to 'numpy/add_newdocs.py')
| -rw-r--r-- | numpy/add_newdocs.py | 61 |
1 files changed, 14 insertions, 47 deletions
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py index 64309721c..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) @@ -4451,12 +4414,12 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('tolist', tobytesdoc = """ - a.tostring(order='C') + a.{name}(order='C') - Construct a Python string containing the raw data bytes in the array. + Construct Python bytes containing the raw data bytes in the array. - Constructs a Python string showing a copy of the raw contents of - data memory. The string can be produced in either 'C' or 'Fortran', + Constructs Python bytes showing a copy of the raw contents of + data memory. The bytes object can be produced in either 'C' or 'Fortran', or 'Any' order (the default is 'C'-order). 'Any' order means C-order unless the F_CONTIGUOUS flag in the array is set, in which case it means 'Fortran' order. @@ -4471,29 +4434,31 @@ tobytesdoc = """ Returns ------- - s : str - A Python string exhibiting a copy of `a`'s raw data. + s : bytes + Python bytes exhibiting a copy of `a`'s raw data. Examples -------- >>> x = np.array([[0, 1], [2, 3]]) >>> x.tobytes() - '\\x00\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x02\\x00\\x00\\x00\\x03\\x00\\x00\\x00' + b'\\x00\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x02\\x00\\x00\\x00\\x03\\x00\\x00\\x00' >>> x.tobytes('C') == x.tobytes() True >>> x.tobytes('F') - '\\x00\\x00\\x00\\x00\\x02\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x03\\x00\\x00\\x00' + b'\\x00\\x00\\x00\\x00\\x02\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x03\\x00\\x00\\x00' """ add_newdoc('numpy.core.multiarray', 'ndarray', - ('tostring', tobytesdoc.format(deprecated= + ('tostring', tobytesdoc.format(name='tostring', + deprecated= 'This function is a compatibility ' 'alias for tobytes. Despite its ' 'name it returns bytes not ' 'strings.'))) add_newdoc('numpy.core.multiarray', 'ndarray', - ('tobytes', tobytesdoc.format(deprecated='.. versionadded:: 1.9.0'))) + ('tobytes', tobytesdoc.format(name='tobytes', + deprecated='.. versionadded:: 1.9.0'))) add_newdoc('numpy.core.multiarray', 'ndarray', ('trace', """ @@ -5511,6 +5476,8 @@ add_newdoc('numpy.core', 'ufunc', ('reduce', in the result as dimensions with size one. With this option, the result will broadcast correctly against the original `arr`. + .. versionadded:: 1.7.0 + Returns ------- r : ndarray |