PEP 8

[linpy.git] / examples / nsad2010.py

diff --git a/examples/nsad2010.py b/examples/nsad2010.py
index 4b73eef..3de2ebd 100755 (executable)
--- a/examples/nsad2010.py
+++ b/examples/nsad2010.py
@@ -8,7 +8,7 @@
 # to compute the transitive closure of an affine transformer. A refined version
 # of this algorithm is implemented in PIPS.
 
-from linpy import *
+from linpy import Dummy, Eq, Ge, Polyhedron, symbols
 
 
 class Transformer:
@@ -28,7 +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 = [], []
@@ -40,7 +41,8 @@ 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)
@@ -49,6 +51,6 @@ class Transformer:
 if __name__ == '__main__':
     i0, i, j0, j = symbols('i0 i j0 j')
     transformer = Transformer(Eq(i, i0 + 2) & Eq(j, j0 + 1),
-        [i0, j0], [i, j])
+                              [i0, j0], [i, j])
     print('T  =', transformer.polyhedron)
     print('T* =', transformer.star().polyhedron)