X-Git-Url: https://svn.cri.ensmp.fr/git/linpy.git/blobdiff_plain/9b755b94aa2c8847ffca607de239f5c3bca9984b..cc1d83eaadffc1d5de296e2ec2b401d04de70c41:/examples/nsad2010.py diff --git a/examples/nsad2010.py b/examples/nsad2010.py index 0a25279..3de2ebd 100755 --- a/examples/nsad2010.py +++ b/examples/nsad2010.py @@ -1,6 +1,14 @@ #!/usr/bin/env python3 -from pypol import * +# This is an implementation of the algorithm described in +# +# [ACI10] C. Ancourt, F. Coelho and F. Irigoin, A modular static analysis +# approach to affine loop invariants detection (2010), pp. 3 - 16, NSAD 2010. +# +# to compute the transitive closure of an affine transformer. A refined version +# of this algorithm is implemented in PIPS. + +from linpy import Dummy, Eq, Ge, Polyhedron, symbols class Transformer: @@ -20,7 +28,8 @@ class Transformer: delta_symbols = [symbol.asdummy() for symbol in self.range_symbols] k = Dummy('k') polyhedron = self.polyhedron - for x, xprime, dx in zip(self.range_symbols, self.domain_symbols, delta_symbols): + for x, xprime, dx in zip( + self.range_symbols, self.domain_symbols, delta_symbols): polyhedron &= Eq(dx, xprime - x) polyhedron = polyhedron.project(self.symbols) equalities, inequalities = [], [] @@ -32,15 +41,16 @@ class Transformer: inequalities.append(inequality) polyhedron = Polyhedron(equalities, inequalities) & Ge(k, 0) polyhedron = polyhedron.project([k]) - for x, xprime, dx in zip(self.range_symbols, self.domain_symbols, delta_symbols): + for x, xprime, dx in zip( + self.range_symbols, self.domain_symbols, delta_symbols): polyhedron &= Eq(dx, xprime - x) polyhedron = polyhedron.project(delta_symbols) return Transformer(polyhedron, self.range_symbols, self.domain_symbols) if __name__ == '__main__': - i, iprime, j, jprime = symbols("i i' j j'") - transformer = Transformer(Eq(iprime, i + 2) & Eq(jprime, j + 1), - [i, j], [iprime, jprime]) + i0, i, j0, j = symbols('i0 i j0 j') + transformer = Transformer(Eq(i, i0 + 2) & Eq(j, j0 + 1), + [i0, j0], [i, j]) print('T =', transformer.polyhedron) print('T* =', transformer.star().polyhedron)