updating the comments

theano/scan_module/scan_op.py

@@ -227,25 +227,16 @@ class Scan(PureOp):
                     'compared to its corresponding slice in the initial '
                     'state (outputs_info in scan nomenclature). For example, '
                     'if the inner function of scan returns a vector '
-                    '(dimensionality 1) of size d and scan uses the values of '
+                    'of size d and scan uses the values of '
                     'the previous time-step, then the initial state in scan '
-                    'should be a matrix (dimensionality 2) of shape (1, d). '
+                    'should be a matrix of shape (1, d). '
                     'The first dimension of this '
-                    'matrix corresponds to the number of previous time-steps'
-                    'that scan uses in each of its iterations. If for '
-                    'example scan uses up to 3 previous time-step values, '
-                    'the initial matrix should have a shape of (3, d). '
+                    'matrix corresponds to the number of previous time-steps '
+                    'that scan uses in each of its iterations. '
                     'In order to solve this issue if the two slices currently '
                     'have the same dimensionality, you can increase the '
                     'dimensionality of the slice in the initial state of scan '
                     'by using dimshuffle or shape_padleft. '
-                    'As an exmaple, if you only '
-                    'use the values of the previous time-step and the '
-                    'corresponding variable in the inner function of scan '
-                    'returns a vector, then use v.dimshuffle(\'x\', 0) or '
-                    'theano.tensor.shape_padleft(v, n_ones=1) for vector v in '
-                    'the initial state of scan to change it from a vector to '
-                    'a matrix. '
                    )
         err_msg2 = ('When compiling the inner function of scan the '
                     'following error has been encountered: The '
@@ -263,25 +254,16 @@ class Scan(PureOp):
                     'function of scan (`fn`) has %d dimension(s) (it should '
                     'be one less than the initial state). For example, '
                     'if the inner function of scan returns a vector '
-                    '(dimensionality 1) of size d and scan uses the values of '
+                    'of size d and scan uses the values of '
                     'the previous time-step, then the initial state in scan '
-                    'should be a matrix (dimensionality 2) of shape (1, d). '
+                    'should be a matrix of shape (1, d). '
                     'The first dimension of this '
-                    'matrix corresponds to the number of previous time-steps'
-                    'that scan uses in each of its iterations. If for '
-                    'example scan uses up to 3 previous time-step values, '
-                    'the initial matrix should have a shape of (3, d). '
+                    'matrix corresponds to the number of previous time-steps '
+                    'that scan uses in each of its iterations. '
                     'In order to solve this issue if the two slices currently '
                     'have the same dimensionality, you can increase the '
                     'dimensionality of the slice in the initial state of scan '
                     'by using dimshuffle or shape_padleft. '
-                    'As an exmaple, if you only '
-                    'use the values of the previous time-step and the '
-                    'corresponding variable in the inner function of scan '
-                    'returns a vector, then use v.dimshuffle(\'x\', 0) or '
-                    'theano.tensor.shape_padleft(v, n_ones=1) for vector v in '
-                    'the initial state of scan to change it from a vector to '
-                    'a matrix. '
                    )
 
         def format(var, as_var):