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author | Charles Harris <charlesr.harris@gmail.com> | 2015-07-01 17:48:57 -0600 |
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committer | Charles Harris <charlesr.harris@gmail.com> | 2015-07-01 23:40:56 -0600 |
commit | f940a9e434e2ba39328361336711502895a42194 (patch) | |
tree | a53860335a0c51fc28093f54972864cd751a9935 | |
parent | dd5fd83164e74523b44b0e8bfbc9054ee19a8db5 (diff) | |
download | numpy-f940a9e434e2ba39328361336711502895a42194.tar.gz |
DOC: Fix bad rst list formats in internals.code-explanations.rst.
The lists needed blank lines before starting.
-rw-r--r-- | doc/source/reference/internals.code-explanations.rst | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/doc/source/reference/internals.code-explanations.rst b/doc/source/reference/internals.code-explanations.rst index 205d84230..f946d0420 100644 --- a/doc/source/reference/internals.code-explanations.rst +++ b/doc/source/reference/internals.code-explanations.rst @@ -196,6 +196,7 @@ Indexing All python indexing operations ``arr[index]`` are organized by first preparing the index and finding the index type. The supported index types are: + * integer * newaxis * slice @@ -234,6 +235,7 @@ combined with typical view based indexing. Here integer indices are interpreted as view based. Before trying to understand this, you may want to make yourself familiar with its subtleties. The advanced indexing code has three different branches and one special case: + * There is one indexing array and it, as well as the assignment array, can be iterated trivially. For example they may be contiguous. Also the indexing array must be of `intp` type and the value array in assignments |