class Polyhedron(Domain):
"""
A convex polyhedron (or simply "polyhedron") is the space defined by a
- system of linear equalities and inequalities. This space can be
- unbounded.
+ system of linear equalities and inequalities. This space can be unbounded. A
+ Z-polyhedron (simply called "polyhedron" in LinPy) is the set of integer
+ points in a convex polyhedron.
"""
__slots__ = (
0 <= x <= 2, 0 <= y <= 2 can be constructed with:
>>> x, y = symbols('x y')
- >>> square = Polyhedron([], [x, 2 - x, y, 2 - y])
+ >>> square1 = Polyhedron([], [x, 2 - x, y, 2 - y])
+ >>> square1
+ And(0 <= x, x <= 2, 0 <= y, y <= 2)
It may be easier to use comparison operators LinExpr.__lt__(),
LinExpr.__le__(), LinExpr.__ge__(), LinExpr.__gt__(), or functions Lt(),
Le(), Eq(), Ge() and Gt(), using one of the following instructions:
>>> x, y = symbols('x y')
- >>> square = (0 <= x) & (x <= 2) & (0 <= y) & (y <= 2)
- >>> square = Le(0, x, 2) & Le(0, y, 2)
+ >>> square1 = (0 <= x) & (x <= 2) & (0 <= y) & (y <= 2)
+ >>> square1 = Le(0, x, 2) & Le(0, y, 2)
It is also possible to build a polyhedron from a string.
- >>> square = Polyhedron('0 <= x <= 2, 0 <= y <= 2')
+ >>> square1 = Polyhedron('0 <= x <= 2, 0 <= y <= 2')
Finally, a polyhedron can be constructed from a GeometricObject
instance, calling the GeometricObject.aspolyedron() method. This way, it
is possible to compute the polyhedral hull of a Domain instance, i.e.,
the convex hull of two polyhedra:
- >>> square = Polyhedron('0 <= x <= 2, 0 <= y <= 2')
- >>> square2 = Polyhedron('2 <= x <= 4, 2 <= y <= 4')
- >>> Polyhedron(square | square2)
+ >>> square1 = Polyhedron('0 <= x <= 2, 0 <= y <= 2')
+ >>> square2 = Polyhedron('1 <= x <= 3, 1 <= y <= 3')
+ >>> Polyhedron(square1 | square2)
+ And(0 <= x, 0 <= y, x <= y + 2, y <= x + 2, x <= 3, y <= 3)
"""
if isinstance(equalities, str):
if inequalities is not None:
sc_equalities = []
if equalities is not None:
for equality in equalities:
- if not isinstance(equality, LinExpr):
- raise TypeError('equalities must be linear expressions')
- sc_equalities.append(equality.scaleint())
+ if isinstance(equality, LinExpr):
+ sc_equalities.append(equality.scaleint())
+ elif isinstance(equality, numbers.Rational):
+ sc_equalities.append(Rational(equality).scaleint())
+ else:
+ raise TypeError('equalities must be linear expressions '
+ 'or rational numbers')
sc_inequalities = []
if inequalities is not None:
for inequality in inequalities:
- if not isinstance(inequality, LinExpr):
- raise TypeError('inequalities must be linear expressions')
- sc_inequalities.append(inequality.scaleint())
+ if isinstance(inequality, LinExpr):
+ sc_inequalities.append(inequality.scaleint())
+ elif isinstance(inequality, numbers.Rational):
+ sc_inequalities.append(Rational(inequality).scaleint())
+ else:
+ raise TypeError('inequalities must be linear expressions '
+ 'or rational numbers')
symbols = cls._xsymbols(sc_equalities + sc_inequalities)
islbset = cls._toislbasicset(sc_equalities, sc_inequalities, symbols)
return cls._fromislbasicset(islbset, symbols)
@classmethod
def _fromislbasicset(cls, islbset, symbols):
+ if bool(libisl.isl_basic_set_is_empty(islbset)):
+ return Empty
+ if bool(libisl.isl_basic_set_is_universe(islbset)):
+ return Universe
islconstraints = islhelper.isl_basic_set_constraints(islbset)
equalities = []
inequalities = []
else:
return 'And({})'.format(', '.join(strings))
- def _repr_latex_(self):
- strings = []
- for equality in self.equalities:
- strings.append('{} = 0'.format(equality._repr_latex_().strip('$')))
- for inequality in self.inequalities:
- strings.append('{} \\ge 0'.format(inequality._repr_latex_().strip('$')))
- return '$${}$$'.format(' \\wedge '.join(strings))
-
@classmethod
- def fromsympy(cls, expr):
- domain = Domain.fromsympy(expr)
+ def fromsympy(cls, expression):
+ domain = Domain.fromsympy(expression)
if not isinstance(domain, Polyhedron):
- raise ValueError('non-polyhedral expression: {!r}'.format(expr))
+ raise ValueError('non-polyhedral expression: {!r}'.format(expression))
return domain
def tosympy(self):
def __repr__(self):
return 'Empty'
- def _repr_latex_(self):
- return '$$\\emptyset$$'
-
Empty = EmptyType()
def __repr__(self):
return 'Universe'
- def _repr_latex_(self):
- return '$$\\Omega$$'
-
Universe = UniverseType()
def _pseudoconstructor(func):
@functools.wraps(func)
- def wrapper(expr1, expr2, *exprs):
- exprs = (expr1, expr2) + exprs
- for expr in exprs:
- if not isinstance(expr, LinExpr):
- if isinstance(expr, numbers.Rational):
- expr = Rational(expr)
+ def wrapper(expression1, expression2, *expressions):
+ expressions = (expression1, expression2) + expressions
+ for expression in expressions:
+ if not isinstance(expression, LinExpr):
+ if isinstance(expression, numbers.Rational):
+ expression = Rational(expression)
else:
raise TypeError('arguments must be rational numbers '
'or linear expressions')
- return func(*exprs)
+ return func(*expressions)
return wrapper
@_pseudoconstructor
-def Lt(*exprs):
+def Lt(*expressions):
"""
Create the polyhedron with constraints expr1 < expr2 < expr3 ...
"""
inequalities = []
- for left, right in zip(exprs, exprs[1:]):
+ for left, right in zip(expressions, expressions[1:]):
inequalities.append(right - left - 1)
return Polyhedron([], inequalities)
@_pseudoconstructor
-def Le(*exprs):
+def Le(*expressions):
"""
Create the polyhedron with constraints expr1 <= expr2 <= expr3 ...
"""
inequalities = []
- for left, right in zip(exprs, exprs[1:]):
+ for left, right in zip(expressions, expressions[1:]):
inequalities.append(right - left)
return Polyhedron([], inequalities)
@_pseudoconstructor
-def Eq(*exprs):
+def Eq(*expressions):
"""
Create the polyhedron with constraints expr1 == expr2 == expr3 ...
"""
equalities = []
- for left, right in zip(exprs, exprs[1:]):
+ for left, right in zip(expressions, expressions[1:]):
equalities.append(left - right)
return Polyhedron(equalities, [])
@_pseudoconstructor
-def Ne(*exprs):
+def Ne(*expressions):
"""
Create the domain such that expr1 != expr2 != expr3 ... The result is a
Domain object, not a Polyhedron.
"""
domain = Universe
- for left, right in zip(exprs, exprs[1:]):
+ for left, right in zip(expressions, expressions[1:]):
domain &= ~Eq(left, right)
return domain
@_pseudoconstructor
-def Ge(*exprs):
+def Ge(*expressions):
"""
Create the polyhedron with constraints expr1 >= expr2 >= expr3 ...
"""
inequalities = []
- for left, right in zip(exprs, exprs[1:]):
+ for left, right in zip(expressions, expressions[1:]):
inequalities.append(left - right)
return Polyhedron([], inequalities)
@_pseudoconstructor
-def Gt(*exprs):
+def Gt(*expressions):
"""
Create the polyhedron with constraints expr1 > expr2 > expr3 ...
"""
inequalities = []
- for left, right in zip(exprs, exprs[1:]):
+ for left, right in zip(expressions, expressions[1:]):
inequalities.append(left - right - 1)
return Polyhedron([], inequalities)
projects / linpy.git / blobdiff