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-rw-r--r--doc/source/reference/arrays.classes.rst7
-rw-r--r--doc/source/reference/c-api.types-and-structures.rst6
2 files changed, 3 insertions, 10 deletions
diff --git a/doc/source/reference/arrays.classes.rst b/doc/source/reference/arrays.classes.rst
index 80013060b..e77dfc31e 100644
--- a/doc/source/reference/arrays.classes.rst
+++ b/doc/source/reference/arrays.classes.rst
@@ -267,13 +267,6 @@ they inherit from the ndarray): :meth:`.flush() <memmap.flush>` which
must be called manually by the user to ensure that any changes to the
array actually get written to disk.
-.. note::
-
- Memory-mapped arrays use the the Python memory-map object which
- (prior to Python 2.5) does not allow files to be larger than a
- certain size depending on the platform. This size is always
- < 2GB even on 64-bit systems.
-
.. autosummary::
:toctree: generated/
diff --git a/doc/source/reference/c-api.types-and-structures.rst b/doc/source/reference/c-api.types-and-structures.rst
index 95272c151..473e25010 100644
--- a/doc/source/reference/c-api.types-and-structures.rst
+++ b/doc/source/reference/c-api.types-and-structures.rst
@@ -1031,9 +1031,9 @@ PyArray_Chunk
This is equivalent to the buffer object structure in Python up to
the ptr member. On 32-bit platforms (*i.e.* if :cdata:`NPY_SIZEOF_INT`
- == :cdata:`NPY_SIZEOF_INTP` ) or in Python 2.5, the len member also
- matches an equivalent member of the buffer object. It is useful to
- represent a generic single- segment chunk of memory.
+ == :cdata:`NPY_SIZEOF_INTP`), the len member also matches an equivalent
+ member of the buffer object. It is useful to represent a generic
+ single-segment chunk of memory.
.. code-block:: c