def get_implementations_f_r(self, f, r):
f1, f2 = f
r1, r2 = r
_, pack, _ = self._get_product()
m1s = self.dp1.get_implementations_f_r(f1, r1)
m2s = self.dp2.get_implementations_f_r(f2, r2)
options = set()
if do_extra_checks():
for m1 in m1s:
self.M1.belongs(m1)
try:
for m2 in m2s:
self.M2.belongs(m2)
except NotBelongs as e:
msg = ' Invalid result from dp2'
raise_wrapped(NotBelongs, e, msg, dp2=self.dp2.repr_long())
for m1 in m1s:
for m2 in m2s:
m = pack(m1, m2)
options.add(m)
if do_extra_checks():
for _ in options:
self.I.belongs(_)
return options
def get_implementations_f_r(self, f, r):
""" Returns a nonempty set of elements of self.M.
Might raise NotFeasible() """
res = set()
es = []
ms = None
for j, dp in enumerate(self.dps):
try:
ms = dp.get_implementations_f_r(f, r)
# print('%s: dp.get_implementations_f_r(f, r) = %s ' % (j, ms))
for m in ms:
if do_extra_checks():
Mj = dp.get_imp_space()
try:
Mj.belongs(m)
except NotBelongs:
raise ValueError(dp)
res.add(self.M.pack(j, m))
except NotFeasible as e:
es.append(e)
if not ms:
# no one was feasible
msg = 'None was feasible'
msg += '\n\n' + '\n\n'.join(str(e) for e in es)
raise_desc(NotFeasible, msg, f=f, r=r, self=self)
if do_extra_checks():
for _ in res:
self.M.belongs(_)
return res
def solve_f_iterate(dp0, f1, R, S, trace):
"""
Returns the next iteration si \in UR
Min ( h(f1, r20) \cup !r20 )
"""
UR = UpperSets(R)
if do_extra_checks():
UR.belongs(S)
R2 = R[1]
converged = set() # subset of solutions for which they converged
nextit = set()
# find the set of all r2s
for ra in S.minimals:
hr = dp0.solve_trace((f1, ra[1]), trace)
for rb in hr.minimals:
valid = R.leq(ra, rb)
if valid:
nextit.add(rb)
feasible = R2.leq(rb[1], ra[1])
if feasible:
converged.add(rb)
nextit = R.Us(poset_minima(nextit, R.leq))
converged = R.Us(poset_minima(converged, R.leq))
return nextit, converged
def __init__(self, R, value):
if do_extra_checks():
R.belongs(value)
Map.__init__(self, R, R)
self.value = value
self.R = R
def evaluate(self, i):
if do_extra_checks():
self.I.belongs(i)
f = i
rs = self.solve(f)
fs = LowerSet(set([f]), self.F)
return fs, rs
def solve_r_iterate(dp0, r1, F, S, trace):
LF = LowerSets(F)
if do_extra_checks():
LF.belongs(S)
F2 = F[1]
converged = set() # subset of solutions for which they converged
nextit = set()
# find the set of all r2s
for fa in S.maximals:
hr = dp0.solve_r_trace((r1, fa[1]), trace)
for fb in hr.maximals:
# valid = R.leq(ra, rb) # ra <= rb
valid = F.leq(fb, fa) # fb <= fa
if valid:
nextit.add(fb)
feasible = F2.leq(fa[1], fb[1])
if feasible:
converged.add(fb)
nextit = F.Ls(poset_maxima(nextit, F.leq))
converged = F.Ls(poset_maxima(converged, F.leq))
return nextit, converged
def _unpack_m(self, m):
if do_extra_checks():
self.M.belongs(m)
from mcdp_dp.dp_series import get_product_compact
_, _, unpack = get_product_compact(self.M0, self.F2, self.R2)
m0, f2, r2 = unpack(m)
return m0, f2, r2
def solve_all(self, f1, trace):
""" Returns an upperset in UR. You want to project
it to R1 to use as the output. """
dp0 = self.dp1
R = dp0.get_res_space()
R1 = R[0]
UR = UpperSets(R)
# we consider a set of iterates
# we start from the bottom
trace.log('Iterating in UR = %s' % UR.__str__())
s0 = R.Us(R.get_minimal_elements())
S = [
KleeneIteration(s=s0,
s_converged=R.Us(set()),
r=upperset_project(s0, 0),
r_converged=R1.Us(set()))
]
for i in range(1, 1000000): # XXX
with trace.iteration(i) as t:
si_prev = S[-1].s
si_next, converged = solve_f_iterate(dp0, f1, R, si_prev, t)
iteration = KleeneIteration(s=si_next,
s_converged=converged,
r=upperset_project(si_next, 0),
r_converged=upperset_project(
converged, 0))
S.append(iteration)
t.log('R = %s' % UR.format(si_next))
if do_extra_checks():
try:
UR.check_leq(si_prev, si_next)
except NotLeq as e:
msg = 'Loop iteration invariant not satisfied.'
raise_wrapped(Exception,
e,
msg,
si_prev=si_prev,
si_next=si_next,
dp=self.dp1)
t.values(state=S[-1])
if UR.leq(si_next, si_prev):
t.log('Breaking because converged (iteration %s) ' % i)
#t.log(' solution is %s' % (UR.format(sip)))
# todo: add reason why interrupted
break
trace.values(type='loop2', UR=UR, R=R, dp=self, iterations=S)
res_all = S[-1].s
res_r1 = upperset_project(res_all, 0)
result = dict(res_all=res_all, res_r1=res_r1)
return result
def check_leq(self, a, b):
if do_extra_checks():
self.belongs(a)
self.belongs(b)
if not self._leq(a, b):
msg = '%s ≰ %s' % (a, b)
raise NotLeq(msg)
def format(self, x):
if do_extra_checks():
self.belongs(x)
if x == self.top:
return self.top.__repr__()
else:
# TODO: add parameter
if x == int(x):
return '%d' % int(x)
else:
if x == finfo.tiny:
return 'tiny'
if x == finfo.eps:
return 'eps'
if x == finfo.max:
return 'max'
# s = '%.5f' % x
# s = '%.10f' % x
s = '%f' % x
# remove trailing 0s
s = s.rstrip('0')
return s
def p(tokens, loc, s):
#print('spa(): parsing %s %r %r %r ' % (x, tokens, loc, s))
res = bb(tokens, loc, s)
# if we are here, then it means the parse was successful
# we try again to get loc_end
character_end = x.tryParse(s, loc)
if isnamedtupleinstance(res):
if res.where is not None:
check_isinstance(res.where, Where)
if isnamedtupleinstance(res) and \
(res.where is None or res.where.character_end is None):
w2 = Where(s, character=loc, character_end=character_end)
res = get_copy_with_where(res, where=w2)
if do_extra_checks():
if not isinstance(res, (float, int, str)):
if res.where is None:
msg = 'Found element with no where'
raise_desc(ValueError, msg, res=res)
if hasattr(res, 'where'):
assert res.where.character_end is not None, \
(res, isnamedtupleinstance(res))
return res
def __init__(self, F, value):
if do_extra_checks():
F.belongs(value)
Map.__init__(self, F, F)
self.value = value
self.F = F
def solve_r_all(self, r1, trace):
""" Returns an upperset in UR. You want to project
it to R1 to use as the output. """
dp0 = self.dp1
F = dp0.get_fun_space()
F1 = F[0]
LF = LowerSets(F)
# we consider a set of iterates
# we start from the bottom
trace.log('Iterating in LF = %s' % LF.__str__())
s0 = F.Ls(F.get_maximal_elements())
S = [
KleeneIteration(s=s0,
s_converged=F.Ls(set()),
r=lowerset_project(s0, 0),
r_converged=F1.Ls(set()))
]
for i in range(1, 1000000): # XXX
with trace.iteration(i) as t:
si_prev = S[-1].s
si_next, converged = solve_r_iterate(dp0, r1, F, si_prev, t)
iteration = KleeneIteration(s=si_next,
s_converged=converged,
r=lowerset_project(si_next, 0),
r_converged=lowerset_project(
converged, 0))
S.append(iteration)
t.log('si_next = %s' % LF.format(si_next))
if do_extra_checks():
try:
LF.check_leq(si_prev, si_next)
except NotLeq as e:
msg = 'Loop iteration invariant not satisfied.'
raise_wrapped(Exception,
e,
msg,
si_prev=si_prev,
si_next=si_next,
dp=self.dp1)
t.values(state=S[-1])
if LF.leq(si_next, si_prev):
t.log('Breaking because converged (iteration %s) ' % i)
break
trace.values(type='loop2r', LF=LF, F=F, dp=self, iterations=S)
res_all = S[-1].s
res_f1 = lowerset_project(res_all, 0)
result = dict(res_all=res_all, res_f1=res_f1)
return result
def __init__(self, P):
self.P = P
if do_extra_checks():
top = self.get_top()
bot = self.get_bottom()
self.belongs(top)
self.belongs(bot)
assert self.leq(bot, top)
assert not self.leq(top, bot) # unless empty
def __init__(self, F, R, I, entries):
entries = tuple(entries)
if do_extra_checks():
for m, f_max, r_min in entries:
I.belongs(m)
F.belongs(f_max)
R.belongs(r_min)
self.entries = entries
PrimitiveDP.__init__(self, F=F, R=R, I=I)
def Us(self, elements):
elements = list(elements)
if do_extra_checks():
for e in elements:
self.belongs(e)
# XXX n^2
from mcdp_posets import check_minimal
check_minimal(elements, poset=self)
from mcdp_posets import UpperSet
return UpperSet(elements, self)
def __init__(self, F, values):
if do_extra_checks():
for value in values:
F.belongs(value)
self.limit = LowerSet(values, F)
R = PosetProduct(())
M = PosetProduct(())
PrimitiveDP.__init__(self, F=F, R=R, I=M)
def __init__(self, elements, S):
N = Nat()
if do_extra_checks():
for e, howmany in elements.items():
S.belongs(e)
N.belongs(howmany)
self._elements = frozendict2(elements)
self._S = S
def is_feasible(self, f, i, r):
if do_extra_checks():
self.F.belongs(f)
self.I.belongs(i)
self.R.belongs(r)
try:
self.check_feasible(f, i, r)
except NotFeasible:
return False
else:
return True
def get_top(self):
if isinstance(self.S, FiniteCollectionAsSpace):
res = FiniteCollection(elements=self.S.elements, S=self.S)
if do_extra_checks():
self.belongs(res)
return res
mcdp_dev_warning('Maybe should use a TooMuchComputation error.')
msg = 'Cannot enumerate the elements of this space.'
raise_desc(NotBounded, msg, space=self.S)
def __call__(self, x):
if do_extra_checks():
D = self.get_domain()
try:
D.belongs(x)
except NotBelongs as e:
msg = 'Point does not belong to domain.'
raise_wrapped(NotBelongs, e, msg, map=self, x=x, domain=D)
y = self._call(x)
if do_extra_checks():
C = self.get_codomain()
try:
C.belongs(y)
except NotBelongs as e:
msg = 'Point does not belong to codomain.'
raise_wrapped(NotBelongs, e, msg, map=self, y=y, codomain=C)
return y
def solve(self, f):
if do_extra_checks():
F = self.get_fun_space()
F.belongs(f)
res = []
for i, dp in enumerate(self.dps):
ri = dp.solve(f[i])
res.append(ri)
return upperset_product_multi(tuple(res))
def check_feasible(self, f, m, r):
if do_extra_checks():
self.F.belongs(f)
self.M.belongs(m)
self.R.belongs(r)
lf, ur = self.evaluate(m)
try:
lf.belongs(f)
ur.belongs(r)
except NotBelongs:
msg = 'check_feasible failed.'
raise_desc(NotFeasible, msg, f=f, m=m, r=r, lf=lf, ur=ur)
def solveU(self, ufunc):
if do_extra_checks():
UF = UpperSets(self.get_fun_space())
UF.belongs(ufunc)
res = set([])
for m in ufunc.minimals:
u = self.solve(m)
res.update(u.minimals)
ressp = self.get_res_space()
minima = poset_minima(res, ressp.leq)
return ressp.Us(minima)
def __init__(self, pint_unit, string):
if do_extra_checks():
ureg = get_ureg()
check_isinstance(pint_unit, ureg.Quantity)
Rbicomp.__init__(self)
self.units = pint_unit
self.string = string
u = parse_pint(string)
assert u == self.units, (self.units, u, string)
self.units_formatted = format_pint_unit_short(self.units)
def eval_constant_lowersetfromcollection(op, context):
x = eval_constant(op.value, context)
v = x.value
u = x.unit
S = u.S
maximals = poset_minima(v.elements, S.leq)
value = LowerSet(maximals, S)
unit = LowerSets(S)
if do_extra_checks():
unit.belongs(value)
vu = ValueWithUnits(value, unit)
return vu
def __init__(self, pint_unit, string):
check_isinstance(string, str) # utf-8
if do_extra_checks():
ureg = get_ureg()
check_isinstance(pint_unit, ureg.Quantity)
RcompBase.__init__(self)
self.units = pint_unit
self.string = string
u = parse_pint(string)
# assert u == self.units, (self.units, u, string)
assert str(u) == str(self.units), (self.units, u, string)
self.units_formatted = format_pint_unit_short(self.units)
def leq(self, a, b):
assert isinstance(a, tuple), (self, a)
assert isinstance(b, tuple), (self, b)
assert len(a) == len(self.subs), (self, a)
assert len(b) == len(self.subs), (self, b)
if do_extra_checks():
self.belongs(a)
self.belongs(b)
for sub, x, y in zip(self.subs, a, b):
if not sub.leq(x, y):
return False
return True
def __init__(self, universe, relations):
check_isinstance(universe, set)
FiniteCollectionAsSpace.__init__(self, universe)
closure = transitive_closure(relations)
# relations contains all closures, but not the cycles
self.relations = frozenset(closure)
self._find_top()
self._find_bottom()
if do_extra_checks():
for a, b in self.relations:
assert a in universe
assert b in universe
def check_unfeasible(self, f, i, r):
if do_extra_checks():
self.F.belongs(f)
self.I.belongs(i)
self.R.belongs(r)
lf, ur = self.evaluate(i)
try:
lf.belongs(f)
ur.belongs(r)
except NotBelongs:
pass
else:
msg = 'check_feasible failed.'
raise_desc(NotFeasible, msg, f=f, i=i, r=r, lf=lf, ur=ur)
