def dd3(self, prop, c, r, n): if len(c)<=1: return c l = len(c)/n ci = [c[i-l:min(i, len(c))] for i in range(l, len(c)+l, l)] if len(ci)>n: ci[-2]+=ci[-1] ci = ci[:-1] ti = [self._subtest(prop, e+r) for e in ci] # found in ci for i, t_res in enumerate(ti): if t_res==FAIL: return self.dd3(prop, ci[i], r, 2) ici = [[e for e in c if not e in _c+r] for _c in ci] iti = [self._subtest(prop, e+r) for e in ici] # inference for i in range(len(ti)): if ti[i]==OK and iti[i]==OK: return self.dd3(prop, ci[i], ici[i]+r, 2) + self.dd3(prop, ici[i], ci[i]+r, 2) # preference for i in range(len(ti)): if ti[i]==UNDEF and iti[i]==OK: return self.dd3(prop, ci[i], ici[i]+r, 2) if n<len(c): #cc = cut(c, reduce(cut, [tmp_c for i, tmp_c in enumerate(ici) if iti[i]==FAIL])) #rr = r + reduce(operator.add, [ci[i] for i in range(len(ci)) if ti[i]==OK]) nn = min(len(c), 2*n) return self.dd3(prop, c, r, nn) else: tmp = [ici[i] for i in range(len(ici)) if iti[i]==FAIL] if not tmp: return [] else: return intersect(c, reduce(intersect, [ici[i] for i in range(len(ici)) if iti[i]==FAIL]))
def getAllSupport(list_AttributeValuePairs) :
all_supports = list()
for i in list_AttributeValuePairs :
if not all_supports :
all_supports = i.getSupport()
else :
all_supports = intersect(all_supports, i.getSupport())
return(all_supports)
def collides(self, a=(0,0), b=(0, 0, 0, 0)): angle = math.atan2(self.dx, self.dy) d = util.intersect(angle, a, b) if d <= 0: return self.t if d < self.t: self.t = d return self.t
def calculate_collisions(self, regions):
self.collisions = []
for region in regions:
for m in self.movements:
intersection = intersect((m.start, m.end), region)
if intersection != None:
time = m.time + distance(m.start, intersection) / m.speed
collision = {'time': time, 'region': region}
self.collisions.append(collision)
break
def intersect(self, region): enter, exit = None, None for m in self.movements: intersection = intersect(m, region) if intersection != None: _enter = m.time_for(intersection[0]) _exit = m.time_for(intersection[1]) if enter == None or _enter < enter: enter = _enter if exit == None or _exit > exit: exit = _exit return (enter, exit)
def add_seas_to(lm):
lm.fill_triangle_hash()
_seed_bays(lm)
removal_queue = set()
persistent_lines = set()
new_bays = set()
_fill_sea_terr_adjacency_lists(lm, symmetric=False)
_remove_overlapping_bays(lm)
for terr in lm.sea_terrs:
if terr not in removal_queue:
for terr2 in lm.sea_terrs:
if terr2 not in removal_queue and terr2 != terr:
if terr.size == terr2.size:
terr2.size += 1
if util.intersect(terr.line.a, terr.line.b, terr2.line.a, terr2.line.b):
if check_intersections(lm, terr.line.a, terr2.line.b):
new_line = Line(terr.line.a, terr2.line.b, terr.line.left, terr2.line.right)
new_bay = SeaTerr(new_line)
new_bay.adjacencies = terr.adjacencies + terr2.adjacencies
new_bay.adjacencies = list(set(new_bay.adjacencies))
new_bay.size = len(new_bay.adjacencies)
new_bays.add(new_bay)
removal_queue.add(terr)
removal_queue.add(terr2)
elif terr.size < terr2.size:
removal_queue.add(terr)
elif terr.size > terr2.size:
removal_queue.add(terr2)
else:
removal_queue.add(terr)
else:
if terr.line.left == terr2.line.left or terr.line.right == terr2.line.right:
if terr.size < terr2.size:
removal_queue.add(terr)
else:
removal_queue.add(terr2)
lm.sea_terrs.update(new_bays)
lm.sea_terrs = lm.sea_terrs.difference(removal_queue)
_bump_out_borders(lm)
_fill_sea_terr_adjacency_lists(lm, symmetric=True)
def intersect(self, e):
"""Return intersection between two edges (aside from end-points)."""
if self.head() == e.head() or self.head() == e.tail():
return None
if self.tail() == e.head() or self.tail() == e.tail():
return None
# compute intersection of two line segments using x,y coords
pt = intersect(self.head().x(),
self.head().y(),
self.tail().x(),
self.tail().y(),
e.head().x(),
e.head().y(),
e.tail().x(),
e.tail().y())
if pt is None:
return None
return Point(pt[0], pt[1])
def make_seas(self):
if self.verbose: print 'finding bays...'
max_seeks = len(self.outside_lines)/3
start_line = self.outside_lines.pop()
self.outside_lines.add(start_line)
line = start_line.right
bay_starts = []
#Find seed lines
while line != start_line:
if self.angle_between_line_and_next(line) < math.pi*0.4:
bay_starts.append(line)
line = line.right
#Find bays for all seed lines
for line in bay_starts:
line_left = line
line_right = line
best_line_left = None
best_line_right = None
i = 0
last_i = 0
while i < max_seeks:
i += 1
line_right = line_right.right
test_line = Line(line_left.a, line_right.a)
if self.check_intersections(test_line.a, test_line.b) and \
self.check_point(test_line.midpoint):
best_line_left, best_line_right = line_left, line_right
last_i = i
line_left = line_left.left
test_line = Line(line_left.a, line_right.a)
if self.check_intersections(test_line.a, test_line.b) and \
self.check_point(test_line.midpoint):
best_line_left, best_line_right = line_left, line_right
last_i = i
if best_line_left != None:
left = best_line_left
right = best_line_right
last_i_2 = 0
worked = True
while worked:
worked = False
i = 0
while i < 5:
left = left.left
test_line = Line(left.a, best_line_right.a)
if self.check_intersections(test_line.a, test_line.b) \
and self.check_point(test_line.midpoint):
best_line_left = left
last_i_2 = last_i + i
worked = True
i += 1
last_i = last_i_2
i = 0
while i < 5:
right = right.right
test_line = Line(best_line_left.a, right.a)
if self.check_intersections(test_line.a, test_line.b) \
and self.check_point(test_line.midpoint):
best_line_right = right
last_i_2 = last_i + i
worked = True
i += 1
new_line = Line(
best_line_left.a, best_line_right.a,
best_line_left.left, best_line_right
)
new_bay = SeaTerr(new_line)
self.sea_terrs.add(new_bay)
removal_queue = set()
persistent_lines = set()
for terr in self.sea_terrs:
moving_line = terr.line.left.right
while moving_line != terr.line.right.left:
for terr2 in moving_line.territories:
if not terr2 in terr.adjacencies:
terr.adjacencies.append(terr2)
if not terr in terr2.adjacencies:
terr2.adjacencies.append(terr)
moving_line = moving_line.right
terr.size = len(terr.adjacencies)
new_bays = set()
for terr in self.sea_terrs:
if terr not in removal_queue:
moving_line = terr.line.left.right
while moving_line != terr.line.right.left:
moving_line = moving_line.right
for terr2 in self.sea_terrs:
if terr2 != terr:
if moving_line == terr2.line.left or \
moving_line == terr2.line.right:
if terr2.size < terr.size:
removal_queue.add(terr2)
for terr2 in self.sea_terrs:
if terr2 not in removal_queue and terr2 != terr:
if terr.size == terr2.size:
terr2.size += 1
if util.intersect(
terr.line.a, terr.line.b,
terr2.line.a, terr2.line.b
):
if self.check_intersections(
terr.line.a, terr2.line.b
):
new_line = Line(
terr.line.a, terr2.line.b,
terr.line.left, terr2.line.right
)
new_bay = SeaTerr(new_line)
new_bay.adjacencies = terr.adjacencies + \
terr2.adjacencies
new_bay.adjacencies = list(sets.Set(
new_bay.adjacencies
))
new_bay.size = len(new_bay.adjacencies)
new_bays.add(new_bay)
removal_queue.add(terr)
removal_queue.add(terr2)
elif terr.size < terr2.size:
removal_queue.add(terr)
elif terr.size > terr2.size:
removal_queue.add(terr2)
else:
removal_queue.add(terr)
else:
if terr.line.left == terr2.line.left or \
terr.line.right == terr2.line.right:
if terr.size < terr2.size:
removal_queue.add(terr)
else:
removal_queue.add(terr2)
self.sea_terrs.update(new_bays)
self.sea_terrs = self.sea_terrs.difference(removal_queue)
removal_queue = set()
for terr in self.sea_terrs:
for terr2 in self.sea_terrs:
intersect = False
if terr != terr2:
s1 = set(terr.adjacencies)
s2 = set(terr2.adjacencies)
if terr.line.a == terr2.line.a \
or terr.line.b == terr2.line.b \
or (s1 & s2):
if terr.size == terr2.size:
terr2.size += 1
if terr.size > terr2.size:
removal_queue.add(terr2)
if terr.size < 3: removal_queue.add(terr)
self.sea_terrs = self.sea_terrs.difference(removal_queue)
for terr in self.sea_terrs:
new_x, new_y = terr.x, terr.y
new_x += math.cos(terr.line.normal)*20.0
new_y += math.sin(terr.line.normal)*20.0
new_point = Point(new_x, new_y)
nl1 = Line(terr.line.a, new_point, terr.line.left)
nl2 = Line(new_point, terr.line.b, nl1, terr.line.right)
nl1.right = nl2
terr.lines = [nl1, nl2]
line2 = terr.line.left.right
while line2 != terr.line.right:
line2.color = (1,1,1,1)
line2 = line2.right
def check_intersections(self, a, b):
if not self.check_collisions: return True
for line in self.outside_lines:
if util.intersect(a, b, line.a, line.b):
return False
return True
def test_almost_same_start(self):
line1 = [0, 0, 2, 2]
line2 = [0.1, 0, 1.9, 2]
self.assertTrue(util.intersect(line1, line2))
def test_easy(self):
line1 = [0, 0, 2, 2]
line2 = [2, 0, 0, 2]
self.assertTrue(util.intersect(line1, line2))
def check_intersections(lm, a, b):
for line in lm.outside_lines:
if util.intersect(a, b, line.a, line.b):
return False
return True
def getRulesFromData1(decision_table, list_nominal, list_la):
# AttributeValuePairs
list_attributeValuePairs = getAttributeValueParis(decision_table, list_nominal)
#print(list_attributeValuePairs[1].getIdx())
# Rules の初期設定
rules = list()
# 各クラスごとにRuleを求める
for i in list_la :
#print("Deicision Class : " + str(i))
list_concept = list_la[i]
#print("list_concept : " + str(sorted(list_concept)))
# cocept が空ならStop
exitEmptyList(list_concept)
# 初期設定( G = B )
list_uncoveredConcept = list_concept[:]
## G が空じゃないならループを続ける
while list_uncoveredConcept :
# Rule の初期設定
rule = Rule()
# T := 空集合
list_T = list()
# TGの候補集合を求める
list_TG = [avp for avp in list_attributeValuePairs if intersect(list_uncoveredConcept, avp.getSupport())]
# ruleを求める
#count = 0
while not list_T or not isSuperList(getAllSupport(list_T), list_concept) :
bestAttributeValuePair = None
list_cover_num = [ len(intersect(list_uncoveredConcept, avp.getSupport())) for avp in list_TG ]
#print("list_cover_num:" + str(list_cover_num))
list_TG_max = [ avp for avp in list_TG if len(intersect(list_uncoveredConcept, avp.getSupport())) == max(list_cover_num)]
#print("list_TG_max Number:" + str(len(list_TG_max)))
if len(list_TG_max) == 1 :
bestAttributeValuePair = list_TG_max[0]
else :
minValue = min([len(avp.getSupport()) for avp in list_TG_max ])
#print("minValue:" + str(minValue))
list_TG_min = [ avp for avp in list_TG_max if len(avp.getSupport()) == minValue]
#print("list_TG_min Number:" + str(len(list_TG_min)))
bestAttributeValuePair = list_TG_min[0]
# T : T U {t} のところ
list_T.append(bestAttributeValuePair)
#print("list_T : " + str(getAllSupport(list_T)))
#print("best Attribute Pair : "+str(bestAttributeValuePair.getSupport()))
# G := [t] ∩ G のところ
list_uncoveredConcept = intersect(bestAttributeValuePair.getSupport(), list_uncoveredConcept)
#print("list_uncoveredConcept : " + str(list_uncoveredConcept))
# TG の更新 T(G) := {t : t ^ G}のところ
list_TG = list()
list_TG = [avp for avp in list_attributeValuePairs if intersect(list_uncoveredConcept, avp.getSupport())]
#print("list_TG : " + str(list_TG))
#print("list_TG : " + str(len(list_TG)))
#print("list_T : " + str(list_T))
#print("list_T : " + str(len(list_T)))
# T(G) := T(G) - T
list_TG = setdiff(list_TG, list_T)
#print("list_TG : " + str(len(list_TG)))
# list_T から不要なものを取り除く
for avp in list_T :
list_T_back = list_T[:]
list_T_back.remove(avp)
if isSuperList(getAllSupport(list_T_back), list_concept) and list_T_back :
list_T.remove(avp)
# list_T から ruleを作成して、rulesに追加
rule.setIdx(getAllIdx(list_T))
rule.setValue(getAllValue(list_T))
rule.setConsequent(i)
rule.setSupport(getAllSupport(list_T))
rules.append(rule)
# Gの更新（G := B - [T] のところ)
list_uncoveredConcept = list_concept[:]
for r in rules :
list_uncoveredConcept = setdiff(list_uncoveredConcept, r.getSupport())
# test
#del list_uncoveredConcept[0]
#print("The Number of uncovered Concept : " + str(len(list_uncoveredConcept)))
# 最後のスクリーニング
for r in rules:
rules_back = rules[:]
rules_back.remove(r)
if list_concept == getAllSupport(rules_back) :
rules.remove(r)
# simplicity conditions
rules_simple = [simplifyRule(r) for r in rules]
# Rule2型にconvert
colnames = getColNames(decision_table)
rules_convert = [convertRule(r,colnames) for r in rules_simple]
# END
return(rules_convert)
