Update doc.

doc/library/tensor/basic.txt

@@ -1109,42 +1109,9 @@ Like NumPy, Theano distinguishes between *basic* and *advanced* indexing.
 Theano fully supports basic indexing
 (see `NumPy's indexing  <http://docs.scipy.org/doc/numpy/reference/arrays.indexing.html>`_) 
 and `integer advanced indexing
-<http://docs.scipy.org/doc/numpy/reference/arrays.indexing.html#integer>`_. We do not
-support boolean masks, as Theano does not have a boolean type (we use int8 for the output of 
-logic operators).
-
-.. testsetup:: indexing
-
-   import theano
-   import numpy as np
-
-NumPy with a mask:
-
-.. doctest:: indexing
-
-   >>> n = np.arange(9).reshape(3,3)
-   >>> n[n > 4]
-   array([5, 6, 7, 8])
-
-Theano indexing with a "mask" (incorrect approach):
-
-.. doctest:: indexing
-
-   >>> t = theano.tensor.arange(9).reshape((3,3))
-   >>> t[t > 4].eval()  # an array with shape (3, 3, 3)  # doctest: +ELLIPSIS
-   Traceback (most recent call last):
-     ...
-   TypeError: TensorType does not support boolean mask for indexing such as tensor[x==0].
-   Instead you can use non_zeros() such as tensor[(x == 0).nonzeros()].
-   If you are indexing on purpose with an int8, please cast it to int16.
-
-Getting a Theano result like NumPy:
-
-.. doctest:: indexing
-
-   >>> t[(t > 4).nonzero()].eval()
-   array([5, 6, 7, 8])
-
+<http://docs.scipy.org/doc/numpy/reference/arrays.indexing.html#integer>`_.
+Since version 0.10.0 Theano also supports boolean indexing with boolean
+NumPy arrays or Theano tensors.
 
 Index-assignment is *not* supported.  If you want to do something like ``a[5]
 = b`` or ``a[5]+=b``, see :func:`theano.tensor.set_subtensor` and :func:`theano.tensor.inc_subtensor` below.