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author | Jamie Townsend <jamiehntownsend@gmail.com> | 2017-10-12 14:13:34 +0100 |
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committer | Jamie Townsend <jamiehntownsend@gmail.com> | 2017-10-12 14:13:34 +0100 |
commit | bd6729d0d1a6004360f44524a477524ccdc96f17 (patch) | |
tree | 2711ec22515ce02eb305b352fde3218eac6779da /numpy/core/shape_base.py | |
parent | c2b5be5e75bd665e02c97b3d03f559dfde485fbb (diff) | |
download | numpy-bd6729d0d1a6004360f44524a477524ccdc96f17.tar.gz |
Update block docstrings
Diffstat (limited to 'numpy/core/shape_base.py')
-rw-r--r-- | numpy/core/shape_base.py | 18 |
1 files changed, 14 insertions, 4 deletions
diff --git a/numpy/core/shape_base.py b/numpy/core/shape_base.py index 732ea30ae..217631cd3 100644 --- a/numpy/core/shape_base.py +++ b/numpy/core/shape_base.py @@ -378,9 +378,12 @@ def _block_check_depths_match(arrays, parent_index=[]): The parameter `parent_index` is the full index of `arrays` within the nested lists passed to _block_check_depths_match at the top of the recursion. - The return value is the full index of an element (specifically the - first element) from the bottom of the nesting in `arrays`. An empty - list at the bottom of the nesting is represented by a `None` index. + The return value is a pair. The first item returned is the full index + of an element (specifically the first element) from the bottom of the + nesting in `arrays`. An empty list at the bottom of the nesting is + represented by a `None` index. + The second item is the maximum of the ndims of the arrays nested in + `arrays`. """ def format_index(index): idx_str = ''.join('[{}]'.format(i) for i in index if i is not None) @@ -423,6 +426,13 @@ def _block_check_depths_match(arrays, parent_index=[]): def _block(arrays, max_depth, result_ndim): + """ + Internal implementation of block. `arrays` is the argument passed to + block. `max_depth` is the depth of nested lists within `arrays` and + `result_ndim` is the greatest of the dimensions of the arrays in + `arrays` and the depth of the lists in `arrays` (see block docstring + for details). + """ def atleast_nd(a, ndim): # Ensures `a` has at least `ndim` dimensions by prepending # ones to `a.shape` as necessary @@ -436,7 +446,7 @@ def _block(arrays, max_depth, result_ndim): return _nx.concatenate(arrs, axis=-(max_depth-depth)) else: # We've 'bottomed out' - arrays is either a scalar or an array - # depth == max_depth + # type(arrays) is not list return atleast_nd(arrays, result_ndim) return block_recursion(arrays) |