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LARA
inox
Commits
736e690a
Commit
736e690a
authored
10 years ago
by
Regis Blanc
Committed by
Etienne Kneuss
9 years ago
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Describe the rest of XLang
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doc/xlang.rst
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736e690a
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@@ -3,17 +3,17 @@
XLang
=====
To complement the core PureScala language, the XLang module
of Leon brings a
few extensions to that core language.
To complement the core
:ref:`
Pure
Scala
<purescala>`
language, the XLang module
of Leon brings a
few extensions to that core language.
These extensions are kept as an optional feature, that needs to be explicitly
enabled from the command line with the option ``--xlang``. If you do not specify
the option, Leon will reject any program making use of an XLang feature.
Technically, these extensions are implemented using a translation to
PureScala.
This means They are not implemented in the back-end
solving system of Leon, but
parsed in the the front-end and eliminate early
during the Leon pipelining
process.
Technically, these extensions are implemented using a translation to
:ref:`Pure
Scala <purescala>`.
This means They are not implemented in the back-end
solving system of Leon, but
parsed in the the front-end and eliminate early
during the Leon pipelining
process.
Imperative Code
---------------
...
...
@@ -42,9 +42,9 @@ The above example illustrates three new features introduced by XLang:
You can use Scala variables with a few restrictions. The variables can only be
declared and used locally in the same function, and inner functions cannot
close over them. XLang introduces the possibility to use sequences of
expressions (blocks) -- a feature not available in PureScala
, where you're only
option is a sequence of ``val`` which
essentially introduce nested ``let``
declarations.
expressions (blocks) -- a feature not available in
:ref:`
Pure
Scala
<purescala>`, where you're only
option is a sequence of ``val`` which
essentially introduce nested ``let``
declarations.
.. warning::
Be careful when combining variables with nested functions from PureScala. Leon
...
...
@@ -93,19 +93,92 @@ as ``valid``.
Leon internally handle loops as a function with a postcondition. For the end-user it
means that Leon is only going to rely on the postcondition of the loop to prove properties
of code relying on loops.
of code relying on loops. Usually that invariant is too weak to prove anything remotely
useful and you will need to anotate the loop with a stronger invariant.
You can anotate a loop with an invariant as follows:
.. code-block:: scala
var res = 0
var i = 0
(while(i < 10) {
res = res + i
i = i + 1
}) invariant(i >= 0 && res >= i)
The strange syntax comes from some Scala magic in order to make the keyword
``invariant`` a valid keyword. Leon is defining an implicit conversion from
``Unit`` to an ``InvariantFunction`` object that provides an ``invariant``
method. The ``invariant`` method takes a boolean expression as a parameter and
its semantics is to hold at the following points during the execution of the loop:
1. When first entering the loop: initialization.
2. After each complete execution of the body.
3. On exiting the loop.
Leon will generate verification conditions ``invariant inductive`` and
``invariant postcondition`` to verify points (2) and (3) above. It will also
generate a ``precondition`` corresponding to the line of the while loop. This
verification condition is used to prove the invariant on initialization of the
loop.
Arrays
******
PureScala supports functional arrays, that is, the operations ``apply`` and ``updated`` which do
not modify an array but only returns some result. In particular, ``updated`` returns a new copy
of the array.
PureScala supports functional arrays, that is, the operations ``apply`` and
``updated`` which do not modify an array but only returns some result. In
particular, ``updated`` returns a new copy of the array.
.. code-block:: scala
def f(a: Array[Int]): Array[Int] = {
a(0).updated(0, a(1))
}
However, using functional arrays is not the most natural way to work with
arrays, and arrays are often used in imperative implementations of algorithms.
XLang adds the usual ``update`` operation on arrays:
.. code-block:: scala
.. note::
some note comes here
val a = Array(1,2,3,4)
a(1) //2
a(1) = 10
a(1) //10
There are some limitations with what you can do with arrays. Leon simply
rewrite arrays using ``update`` operation as assignment of function arrays
using ``updated``. This leverages the built-in algorithm for functional array
and rely on the elimination procedure for assignments. Concretely, it would
transform the above on the following equivalent implementation:
.. code-block:: scala
var a = Array(1,2,3,4)
a(1) //2
a = a.updated(1, 10)
a(1) //10
Then Leon would apply the same process as for any other XLang program.
Due to the way Leon handles side-effects, you cannot update arrays passed
to a function as a parameter.
Epsilon
-------
XLang introduces the ``epsilon`` keyword to express non-determinism. The
concept is inspired from `Hilbert's epsilon calculus
<http://en.wikipedia.org/wiki/Epsilon_calculus>`_. An ``epsilon`` expression
takes a predicate as parameter and is defined to return a value that
satisfies the predicate:
.. code-block:: scala
def getInRange(from: Int, to: Int): Int = {
epsilon(n => from <= n && n <= to)
}
You can use epsilon when you only know the interface of some function but
cannot provide a concrete implementation.
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