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authorCharles Harris <charlesr.harris@gmail.com>2015-07-01 13:39:41 -0600
committerCharles Harris <charlesr.harris@gmail.com>2015-07-01 23:40:56 -0600
commita70842c58b11b4c3e56425d67e075a418db361f4 (patch)
treeb5a3034d1ec417d42d211f9d3d81a8776f5f0676 /doc/source/reference/arrays.classes.rst
parent276a4e1c27f17cca30ae0c0775fe03bd4b46af35 (diff)
downloadnumpy-a70842c58b11b4c3e56425d67e075a418db361f4.tar.gz
DOC: Remove a reference to __array_priority__.
Also correct its documented default value.
Diffstat (limited to 'doc/source/reference/arrays.classes.rst')
-rw-r--r--doc/source/reference/arrays.classes.rst4
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/source/reference/arrays.classes.rst b/doc/source/reference/arrays.classes.rst
index caaf3a73b..1fa84c6c4 100644
--- a/doc/source/reference/arrays.classes.rst
+++ b/doc/source/reference/arrays.classes.rst
@@ -147,14 +147,14 @@ Numpy provides several hooks that classes can customize:
The value of this attribute is used to determine what type of
object to return in situations where there is more than one
possibility for the Python type of the returned object. Subclasses
- inherit a default value of 1.0 for this attribute.
+ inherit a default value of 0.0 for this attribute.
.. function:: class.__array__([dtype])
If a class (ndarray subclass or not) having the :func:`__array__`
method is used as the output object of an :ref:`ufunc
<ufuncs.output-type>`, results will be written to the object
- returned by :func:`__array__`. Similar conversion is done on
+ returned by :func:`__array__`. Similar conversion is done on
input arrays.