Typo fixes

theano/tensor/basic.py

@@ -366,8 +366,8 @@ def constant_or_value(x, rtype, name=None, ndim=None, dtype=None):
             # Theano graph, because on Windows 64, all shapes are expressed
             # with longs.
             # If a long fits in int64, we convert it into an int64, like
-            # numpy.asarray() does up to 1.7. NumPy 1.7.1 upcaset to int64
-            # if possible, but fallback to uint64 if int64 isn't possible but
+            # numpy.asarray() does up to 1.7. NumPy 1.7.1 upcasts to int64
+            # if possible, but falls back to uint64 if int64 isn't possible but
             # uint64 is. We always do as NumPy 1.7.1  here.
             # If x is too big, an OverflowError will be raised by numpy.
             try:
@@ -382,10 +382,10 @@ def constant_or_value(x, rtype, name=None, ndim=None, dtype=None):
             if x.dtype == 'bool':
                 x_ = numpy.asarray(x_, dtype='uint8')
         else:
-            # Here x is probably a list or a tuple. If it contain a long,
-            # we will behave like the current NumPy version: 1.7 and bellow,
-            # it will only work if the long fit in int64. For NumPy 1.7.1+,
-            # it will work if the long git in int64 or uint64.
+            # Here x is probably a list or a tuple. If it contains a long,
+            # we will behave like the current NumPy version: 1.7 and below,
+            # it will only work if the long fits in int64. For NumPy 1.7.1+,
+            # it will work if the long fits in int64 or uint64.
             x_ = numpy.asarray(x)
 
     assert type(x_) == numpy.ndarray