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#._cv_part guppy.heapy.AbstractAlgebra
class AA:
def __mul__(self, other):
return BOAPP('op', self, other)
def __add__(self, other):
return BOAPP('op2', self, other)
def __eq__(self, other):
return BOAPP('eq', self, other)
class ANAME(AA):
def __init__(self, name):
self.name = name
def __str__(self):
return self.name
class BOAPP(AA):
def __init__(self, funcname, *args):
self.funcname = funcname
self.args = args
def __str__(self):
return '%s(%s)'%(self.funcname, ','.join([str(x) for x in self.args]))
class AlgebraicStructure:
def __init__(self, mod, range, *ops, **kwds):
self.mod = mod
self.range = range
self.ops = []
for i, op in enumerate(ops):
if hasattr(op, 'range') and op.range == range:
pass
elif callable(op) or op in mod.LE.binary_operation_name:
opkwds = {}
if 'identity' in kwds:
opkwds['identity'] = kwds['identity']
op = mod.binary_operation.new(range, op, **opkwds)
else:
raise TypeError, '%s is not a valid operation'%op
self.ops.append(op)
setattr(self, 'op%d'%i, op)
self.numops = len(self.ops)
for k, v in kwds.items():
setattr(self, k, v)
def eq(self, x, y, *more):
if not x == y:
return False
for m in more:
if not y == m:
return False
return True
class BinaryOperation:
def __init__(self, range, op, identity=None, invert=None, zeros=None, zero=None, complement=None):
self.range = range
self.arity = 2
if isinstance(op, str):
opname = op
func = eval('lambda x,y: x %s y'%opname)
elif callable(op):
func = op
opname = str(func)
self.opname = opname
self.__call__ = func
if identity is not None:
self.identity = identity
if invert is not None:
self.invert = invert
if zeros is not None:
self.zeros = zeros
if zero is not None:
self.zero = zero
if complement is not None:
self.complement = complement
# mimic alg. st.
self.op0 = self
def eq(self, x, y, *more):
if not x == y:
return False
for m in more:
if not y == m:
return False
return True
class BinaryAlgebraicStructureFamily:
def __call__(self, names, cond):
di = {}
for name in names:
di[name] = ANAME(name)
c = eval(cond, di)
assert isinstance(c, AA)
def gentestfunc(binop):
d = {'op':binop}
expr = 'lambda %s:%s'%(','.join(names), c)
d = {'op':binop,
'eq': lambda x,y: x==y}
f = eval (expr, d)
def testfunc(env, x, y):
if not f(x, y):
return env.failed('not %s in %s'%((x, y), expr))
return True
return testfunc
return self.Set(self, (gentestfunc, cond))
def c_test_contains(self, a, b, env):
f, name = a.arg
return env.forall_pairs(b.range,
f(b),
'not in %s'%name)
class TernaryAlgebraicStructureFamily:
def __call__(self, names, cond):
di = {}
for name in names:
di[name] = ANAME(name)
c = eval(cond, di)
assert isinstance(c, AA)
def gentestfunc(binop):
d = {'op':binop}
expr = 'lambda %s:%s'%(','.join(names), c)
d = {'op':binop,
'eq': lambda x,y: x==y}
f = eval (expr, d)
def testfunc(env, x, y, z):
if not f(x, y, z):
return env.failed('not %s in %s'%((x, y, z), expr))
return True
return testfunc
return self.Set(self, (gentestfunc, cond))
def c_test_contains(self, a, b, env):
f, name = a.arg
return env.forall_triples(b.range,
f(b),
'not in %s'%name)
class DistributiveAlgebraicStructureFamily:
def __call__(self, names, cond):
di = {}
for name in names:
di[name] = ANAME(name)
c = eval(cond, di)
assert isinstance(c, AA)
def gentestfunc(binop1, binop2):
d = {'op':binop1, 'op2': binop2}
expr = 'lambda %s:%s'%(','.join(names), c)
d = {'op':binop1,
'op2':binop2,
'eq': lambda x,y: x==y}
f = eval (expr, d)
def testfunc(env, x, y, z):
if not f(x, y, z):
return env.failed('not %s in %s'%((x, y, z), expr))
return True
return testfunc
return self.Set(self, (gentestfunc, cond))
def c_test_contains(self, a, b, env):
f, name = a.arg
op1, op2 = b
if isinstance(op1, tuple):
op1 = self.specmod.AA.binary_operation.new(*op1)
if isinstance(op2, tuple):
op2 = self.specmod.AA.binary_operation.new(*op2)
if not op1.range == op2.range:
return env.failed('Not the same range')
return env.forall_triples(op1.range,
f(op1, op2),
'not in %s'%name)
class _GLUECLAMP_:
def _get_abelian_group(self):
return self.Spec.adaptuple(
self.group.new,
self.group & self.Spec.attr('op0', self.commutative))
def _get_associative(self):
return self.asuf('xyz', 'x * (y * z) == (x * y) * z')
def algestruct(self, S, *args, **kwds):
S = self.Spec.setcast(S)
return AlgebraicStructure(self, S, *args, **kwds)
def asuf(self, names, cond):
if len(names) == 2:
x = self.BinaryAlgebraicStructure(names, cond)
elif len(names) == 3:
x = self.TernaryAlgebraicStructure(names, cond)
else:
raise ValueError
return self.Spec.adaptuple(self.binary_operation.new, x)
def _get_binary_operation(self):
def binop(S, func, **kwds):
S = self.Spec.setcast(S)
if isinstance(func, BinaryOperation) and func.range == S and not kwds:
return func
return BinaryOperation(S, func, **kwds)
e = self.Spec
return e.adaptuple(
binop,
e.expset("""(
attr('range', set) &
attr('arity', equals(2)) &
expset('''mapping(range, range, '->', range)''', 'range')
)"""))
def _get_binary_relation(self):
return self.relation
def _get_BinaryAlgebraicStructure(self):
return self.family(BinaryAlgebraicStructureFamily)
def _get_boolean_algebra(self):
def boolalg(set, op0, op1, complement, id0, id1):
if complement in ('~', '-', 'not'):
complement = eval('lambda x: %s x'%complement)
return self.algestruct(
set,
self.binary_operation.new(set, op0, identity = id0, zero = id1, complement=complement),
self.binary_operation.new(set, op1, identity = id1, zero = id0, complement=complement)
)
e = self.Spec
return (e.adaptuple(
boolalg,
e.attr('op0', e.AA.commutative & e.AA.complemented & e.AA.monoid) &
e.attr('op1', e.AA.commutative & e.AA.complemented & e.AA.monoid) &
e.attr(('op0', 'op1'), e.AA.distributive) &
e.attr(('op1', 'op0'), e.AA.distributive) &
e.attr(('op0.zero', 'op1.identity'), e.LE.eq) &
e.attr(('op1.zero', 'op0.identity'), e.LE.eq)
))
def _get_complemented(self):
# Not a standard term: expresses for an op op, that
# x op x' = op.zero where x' = op.complement
def p(env, x):
op = x.op0
zero = op.zero
f = op
complement = f.complement
return env.forall(x.range, lambda env, y:
x.eq(f(y, complement(y)), zero), 'complemented')
return self.Spec.predicate(p, 'complemented')
def _get_commutative(self):
return self.asuf('xy', 'x * y == y * x')
def _get_DistributiveAlgebraicStructure(self):
return self.family(DistributiveAlgebraicStructureFamily)
def _get_distributive(self):
return self.distributive_1 & self.distributive_2
def _get_distributive_1(self):
return self.DistributiveAlgebraicStructure(
'xyz', 'x * (y + z) == (x * y) + (x * z)')
def _get_distributive_2(self):
return self.DistributiveAlgebraicStructure(
'xyz', '(x + y) * z == (x * z) + (y * z)')
def _get_field(self):
e = self.Spec
AA = self
class Field:
def __init__(self, S, add, mul, neg, invert, zero, one):
if neg in ('-','~','not'):
neg = eval('lambda x: %s x'%neg)
self.range = S
self.ring = AA.ring.new(S, add, mul, neg, zero)
self.mulgroup = AA.group.new(S - e.equals(zero), mul, invert, one)
return e.adaptuple(
Field,
e.attr('ring', e.AA.ring) &
e.attr('mulgroup', e.AA.abelian_group))
def _get_group(self):
def mkgroup(S, op, invert, identity):
if invert in ('-', '~', 'not'):
invert = eval('lambda x: %s x'%invert)
return self.algestruct(S, op, identity=identity, invert=invert)
def p(env, g):
try:
inv = g.invert
except AttributeError:
env.failed("no invert function")
f = g.op0
return env.forall(g.range, lambda env, x:
g.eq(f(inv(x), x), f(x, inv(x)), g.identity))
e = self.Spec
return e.adaptuple(
mkgroup,
self.monoid & self.Spec.predicate(p, 'group'))
def _get_latticeform(self):
# latticeform is a representation category
class RelationSpec:
def _get_spec_quadruple(self, e):
binop = (e.boolean << (e.PyObject, e.PyObject) |
e.AA.LE.binary_operation_name)
return e.cprod(
e.LE.setcastable,
e.relation.fuop,
binop,
binop)
def _get_spec_struct(self, e):
return (attr('range', e.set),
attr('LE'),
attr('GLB'),
attr('LUB')
)
def map_quadruple_to_struct(self, e, (S, LE, GLB, LUB)):
S = e.setcast(S)
LE = e.relation.paxa.fromuniversal((e.relation.defipair, (S, LE)))
GLB = e.AA.binary_operation.new(S, GLB)
LUB = e.AA.binary_operation.new(S, LUB)
class C:
pass
c = C()
c.range = S
c.LE = LE
c.GLB = GLB
c.LUB = LUB
return c
return self.Spec.repcat(RelationSpec)
def _get_lattice(self):
e = self.Spec
def p(env, lat):
def test(R, op, name):
def testlb(env, x, y):
lb = op(x, y)
if not (R(lb, x) and R(lb, y)):
return env.failed('not an %s'%name)
if R(x, lb) or R(y, lb): return True # redundant fast way out
return env.forall(lat.range,
lambda env, lb2:
(not (R(lb2, x) and R(lb2, y)) or
R(lb2, lb)))
return env.forall_pairs(lat.range, testlb)
return (test( lambda x, y: env.contains(lat.LE, (x, y)), lat.GLB, 'lower bound') and
test( lambda x, y: env.contains(lat.LE, (y, x)), lat.LUB, 'upper bound'))
return (
e.abstractset(
self.latticeform.struct.fromuniversal,
e.attr('range') &
e.attr('LE', e.AA.partial_order.paxa) &
e.attr('GLB', e.AA.binary_operation) &
e.attr('LUB', e.AA.binary_operation) &
e.predicate(p, 'lattice')
)
)
def _get_LE(self):
return self.Spec.LocalEnv(self.Spec, self._Specification_.LocalEnvExpr)
def _get_monoid(self):
def p(env, x):
op = x.op0
e = op.identity
f = op
return env.forall(x.range, lambda env, y:
x.eq(f(e, y), f(y, e), y))
def mkmonoid(S, op, identity):
return self.algestruct(S, op, identity=identity)
e = self.Spec
return e.adaptuple(
mkmonoid,
e.attr('op0', self.associative) &
e.predicate(p, 'monoid'))
def _get_ring(self):
def mkring(S, add, mul, neg, zero):
if neg in ('-','~','not'):
neg = eval('lambda x: %s x'%neg)
return self.algestruct(
S,
self.binary_operation.new(S, add, identity=zero, invert=neg),
self.binary_operation.new(S, mul))
e = self.Spec
return (e.adaptuple(
mkring,
(e.attr('op0', e.AA.abelian_group) &
e.attr('op1', e.AA.semigroup) &
e.attr(('op1', 'op0'), e.AA.distributive)
)))
def _get_semigroup(self):
return self.Spec.adaptuple(self.binary_operation.new, self.Spec.attr('op0', self.associative))
def _get_Spec(self):
return self._parent.Spec
def _get_TernaryAlgebraicStructure(self):
return self.family(TernaryAlgebraicStructureFamily)
def family(self, F):
class C(F, self.Spec.SpecFamily):
def __init__(innerself, *args, **kwds):
self.Spec.SpecFamily.__init__(innerself, *args, **kwds)
try:
ini = F.__init__
except AttributeError:
pass
else:
ini(innerself, *args, **kwds)
C.__name__ = F.__name__
return self.Spec.family(C)
#
# 2. Relations and their properties
#
def relpropred(self, s, name):
return self.relprop(self.Spec.predicate(s, name))
def _get_antisymmetric(self):
# Assumes implicitly equality relation via '==' operation.
# Could be generalized, see notes Jan 19 2005
return self.relpropred(
lambda env, R: env.forall_pairs(
R.range,
lambda env, x, y:
(not (env.contains(R, (x, y)) and env.contains(R, (y, x))) or
x == y)),
"antisymmetric wrt '==' op")
def _get_equivalence_relation(self):
return (
self.reflexive &
self.symmetric &
self.transitive)
def _get_irreflexive(self):
return self.relpropred(
lambda env, R: env.forall(R.range,
lambda env, x: env.test_contains_not(R, (x, x), 'irrreflexive')),
'reflexive')
def _get_partial_order(self):
return (
self.reflexive &
self.antisymmetric &
self.transitive)
def _get_total_order(self):
return (
self.partial_order &
self.total_relation)
def _get_total_relation(self):
# Nonstandard name (?)
return self.relpropred(
lambda env, R: env.forall_pairs(
R.range,
lambda env, x, y:
(env.contains(R, (x, y)) or env.contains(R, (y, x)))),
"total_relation: xRy or yRx for all x,y in A")
def _get_reflexive(self):
return self.relpropred(
lambda env, R: env.forall(
R.range,
lambda env, x: env.test_contains(R, (x, x), 'reflexive')),
'reflexive')
def _get_symmetric(self):
return self.relpropred(
lambda env, R: env.forall(
R,
lambda env, (x, y):
env.test_contains(R, (y, x), 'symmetric')),
'symmetric')
def _get_transitive(self):
return self.relpropred(
lambda env, R: env.forall(
R,
lambda env, (x, y):
env.forall(R.range,
lambda env, z:
(not env.contains(R, (y, z)) or
env.test_contains(R, (x, z), 'transitive')))),
'transitive')
def relprop(self, s):
e = self.Spec
return e.abstractset(
e.relation.paxa.fromuniversal,
s)
return e.adaptuple(
self.relation.new,
e.attr(('domain', 'range'), e.LE.eq) &
s)
class _Specification_:
"""
Specification of some general algebraic structures
"""
def GetExamples(self, te, obj):
AA = obj
LE = AA.LE
env = te.mod
S3 = [
[0,1,2,3,4,5],
[1,0,4,5,2,3],
[2,5,0,4,3,1],
[3,4,5,0,1,2],
[4,3,1,2,5,0],
[5,2,3,1,0,4]]
Type = env.Type
asexs = [
# Too slow now with many examples, cubic complexity for associative etc.
# sets are tested more extensively elsewhere
#(env.set, env.set, env.empty, ~env.empty, env.equals(0), env.equals(0, 1), env.equals(1)),
(env.set, env.set, env.empty),
(env.Type.Int, -1, 0, 1),
#(env.Type.Float, -2.5,-1.0, 0.0, 1.3, 2.0),
#(env.Type.Float, -2.0,-1.0, 0.0, 1.0, 2.0),
(env.Type.Float, -1.0, 0.0),
(env.Type.String, '', '1234%^', 'asdf*&('),
(LE.algebraic_class,AA.binary_operation),
(AA.binary_operation,
(int, '*')),
(~AA.binary_operation,
(env.equals(1), '+')),
(AA.commutative, (int, '*')),
(~AA.commutative, (int, '-')),
(AA.associative, (int, '*')),
(~AA.associative, (int, '-')),
(AA.distributive, ((int, '*'), (int, '-'))),
(AA.distributive_1, ((int, '*'), (int, '-'))),
(AA.distributive_2, ((int, '*'), (int, '-'))),
(~AA.distributive, ((int, '*'), (int, '|'))),
(~AA.distributive_1,((int, '*'), (int, '|'))),
(~AA.distributive_2,((int, '*'), (int, '|'))),
(AA.semigroup, (int, '*')),
(AA.semigroup, (str, '+')),
(~AA.semigroup, (int, '-')),
(AA.monoid, (int, '*', 1)),
(AA.monoid, (str, '+', '')),
(~AA.monoid, (int, '*', 0)),
(AA.group, (int, '+', '-', 0)),
(~AA.group, (int, '*', '-', 1)),
(AA.abelian_group, (int, '+', '-', 0)),
(AA.group & ~AA.abelian_group, (
env.equals(0,1,2,3,4,5),
lambda x,y : S3[x][y],
lambda x:[0,1,2,3,5,4][x],
0)),
(AA.ring, (int, '+', '*', '-', 0)),
(~AA.ring, (str, '+', '*', '-', 0),
(int, '*', '*', '-', 0),
(int, '+', '+', '-', 0),
(int, '+', '*', '~', 0),
(int, '+', '*', '-', 1)),
(AA.field, (float, '+', '*', '-', lambda x:1.0/x, 0.0, 1.0)),
(~AA.field, (float, '+', '*', '-', lambda x:2.0/x, 0.0, 1.0)),
(AA.boolean_algebra,(env.equals(False, True), 'or', 'and', 'not', False, True),
(int, '|', '&', '~', 0, ~0),
(env.set, '|', '&', '~', env.empty, ~env.empty)
),
(~AA.boolean_algebra,
# Mutate each argument..
(env.equals(True, True), 'or', 'or', 'not', False, True),
(env.equals(False, True), 'and', 'and', 'not', False, True),
(env.equals(False, True), 'or', 'or', 'not', False, True),
(env.equals(False, True), 'or', 'and', '~', False, True),
(env.equals(False, True), 'or', 'and', 'not', True, True),
(env.equals(False, True), 'or', 'and', 'not', False, False),
)
]
ex = []
for a in asexs:
name = a[0]
exs = list(a[1:])
if isinstance(name, str):
x = env
names = name.split('.')
for name in names:
x = getattr(x, name)
else:
x = name
ex.append((x, exs))
return ex
class LocalEnvExpr:
exec("""\
if 1:
binary_operation_name <is> equals(
'+', '-', '*', '/', '%', '|', '&', '**', '<<', '>>')
algebraic_class <is> (setof(Type.Tuple) &
attr('new', callable))
relation_class <is> (setof( setof(any*any) |
Type.Tuple))
relational_operator_name <is> equals(
'<', '<=', '>', '>=', '==', '!=', 'in', 'not in', 'is', 'is not')
""".replace('<is>', ' = lambda IS: '))
class GlueTypeExpr:
exec("""
if 1:
abelian_group <in> setof(AA.group)
associative <in> setof(AA.binary_operation)
binary_operation <in> doc('''
A \emp{binary operation} $*$ on a set $S$ is a function $*: S \cross S \mapsto S$.
The element in $S$ assigned to $(x, y)$ is denoted $x*y$.
\citemh(p.21)
''') & LE.algebraic_class
boolean_algebra <in> LE.algebraic_class
commutative <in> LE.algebraic_class
distributive <in> setof(cprod(AA.binary_operation, AA.binary_operation))
distributive_1 <in> setof(cprod(AA.binary_operation, AA.binary_operation))
distributive_2 <in> setof(cprod(AA.binary_operation, AA.binary_operation))
field <in> LE.algebraic_class
group <in> (LE.algebraic_class & doc('''
''' ))
monoid <in> LE.algebraic_class
ring <in> (LE.algebraic_class,
attr('new', argnames('S', 'add', 'mul', 'neg', 'zero')))
semigroup <in> LE.algebraic_class
""".replace('<in>', '= lambda IN:'))
# Relations and functions
def GetExamples(self, te, obj):
AA = obj
LE = AA.LE
e = te.mod
S = e.iso(0, 1, 2)
def subsetof(x, y):
# Subset relation treating ints as bitsets
return x & y == x
def D(S, op):
return (e.relation.defipair, (S, op))
def L(*args):
return (AA.latticeform.quadruple, args)
asexs = [
(e.PyObject, 0), # why not ()?
#(AA.relation, D(S, '==')),
(AA.reflexive, D(S, '==')),
#(AA.reflexive, AA.relation.new(S, '<=')),
(~AA.reflexive, D(S, '<')),
(AA.symmetric, D(S, '==')),
(~AA.symmetric, D(S, '<=')),
(AA.transitive, D(S, '<')),
(~AA.transitive, D(S, '!=')),
(AA.irreflexive, D(S, '<')),
(~AA.irreflexive, D(S, '<=')),
(AA.antisymmetric, D(S, '<=')),
(~AA.antisymmetric, D(S, '!=')),
(AA.total_relation, D(S, '<=')),
(~AA.total_relation, D(S, '!=')),
(AA.equivalence_relation, D(S, '==')),
(~AA.equivalence_relation, D(S, '<=')),
(AA.partial_order, D(S, subsetof)),
(~AA.partial_order, D(S, '<')),
(AA.total_order, D(S, '<=')),
(~AA.total_order, D(S, subsetof)),
(e.Type.Int, 0, 1, 2, 3),
(AA.lattice, L(int, '<=', min, max)),
(~AA.lattice, L(int, '<=', '&', max)),
(~AA.lattice, L(int, '<=', min, '|')),
(AA.lattice, L(int, lambda x, y: x & y == x, '&', '|')),
(~AA.lattice, L(int, lambda x, y: x & y == x, min, '|')),
(~AA.lattice, L(int, lambda x, y: x & y == x, '&', max)),
(AA.lattice.quadruple, (int, '<=', min, max)),
]
return asexs
class GlueTypeExpr:
exec("""\
if 1:
reflexive <in> doc('x R x for every x in A',
AA.LE.relation_class)
symmetric <in> doc('x R y implies y R x, for all x, y in A',
AA.LE.relation_class)
transitive <in> doc('x R y, y R z implies x R z, for all x, y, z in A',
AA.LE.relation_class)
irreflexive <in> doc('not (x R y), for all x in A',
AA.LE.relation_class)
antisymmetric <in> doc('x R y, y R x implies x == y, for all x, y in A',
AA.LE.relation_class)
total_relation <in> doc('x R y or y R x, for all x, y in A',
AA.LE.relation_class)
equivalence_relation<in> doc('Reflexive, symmetric and transitive',
AA.LE.relation_class)
partial_order <in> doc('Reflexive, antisymmetric and transitive',
AA.LE.relation_class)
total_order <in> doc('Partial order and x R y or y R x, for all x, y in A',
AA.LE.relation_class)
lattice <in> attr('quadruple', doc('''\
Tuples (S, R, V, A), where:
S: set or convertible to set, i.e. 'setcastable'
R: relation operator on S
V: binary operator on S
A: binary operator on S
R, V and A are either operator symbols or functions.
(S, R) forms a partial order such that
every pair x, y of elements in S have a greatest
lower bound GLB and a least upper bound LUB.
The GLB is given by V(x, y) or x V y depending on if V is
a function or operator symbol. Likewise, ULB is given
by A(x, y) or x A y.
For example, these are lattice specifications:
(int, '<=', min, max)
(int, lambda x, y: x & y == x, '&', '|')
''', setof(tupleform(
('S', 'R', 'V', 'A'),
attr('S', SPLE.setcastable) &
expset('''\
attr('R', AA.LE.relational_operator_name | boolean<<(S, S)) &
attr('V', AA.LE.binary_operation_name | setcast(S)<<(S, S)) &
attr('A', AA.LE.binary_operation_name | setcast(S)<<(S, S))
''', 'S')
))))
""".replace('<in>', '=lambda IN:'))
from guppy.heapy.test import support
import sys, unittest
class TestCase(support.TestCase):
pass
class FirstCase(TestCase):
def test_1(self):
Spec = self.heapy.Spec
TestEnv = Spec.mkTestEnv(_Specification_)
#print SpecSpec.getstr(1000)
TestEnv.test(self.guppy.heapy.AbstractAlgebra)
support.run_unittest(FirstCase, 1)