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Editing: test_Classifiers.py
from guppy.heapy.test import support import textwrap PORTABLE_TEST = 1 # Relax tests to be more portable class TestCase(support.TestCase): def setUp(self): support.TestCase.setUp(self) self.View.is_rg_update_all = False self.US = US = self.heapy.UniSet self.Use = Use = self.heapy.Use Use.reprefix = 'hp.' self.do = lambda x: x.dictof self.un = Use.Anything.fam self.ty = Use.Type self.rc = Use.Rcs self.iso = Use.iso self.Anything = US.Anything self.Nothing = US.Nothing class C1: def x(self): return 0 class C2: pass c1 = C1() self.C1 = C1 self.C2 = C2 self.c1 = c1 def lt(self, a, b): self.assertTrue(a < b) def eq(self, a, b): self.assertTrue(a == b) def dj(self, a, b): # disjoint; not related by <= or >=, and not overlapping self.assertTrue(not a <= b) self.assertTrue(not b <= a) self.assertTrue(not a & b) self.assertTrue(a.disjoint(b)) def nr(self, a, b): # not related by <= or >=, and overlapping self.assertTrue(not a <= b) self.assertTrue(not b <= a) self.assertTrue(a & b) self.assertTrue(not a.disjoint(b)) class SpecialCases(TestCase): # Special tests that catch cases that came up during development & debugging def test_1(self): un = self.un ty = self.ty do = self.do rc = self.rc iso = self.iso All = self.Anything Nothing = self.Nothing C1 = self.C1 C2 = self.C2 c1 = self.c1 def eq(a, b): self.assertTrue(a == b) self.assertTrue(str(a) == str(b)) e1 = [] e2 = {} e3 = [] e4 = () a = ty(int) b = ty(dict) self.assertTrue(~a & ~b != Nothing) eq(ty(list) & iso(e1, e2, e3), iso(e1, e3)) eq((ty(list) | ty(dict)) & iso(e1, e2, e3, e4), iso(e1, e2, e3)) eq(iso(e1, e3) | ty(list), ty(list)) eq(ty(list) | iso(e1, e3), ty(list)) eq(iso(e1, e3) - iso(e3), iso(e1)) eq(~iso(e3) & iso(e1, e3), iso(e1)) eq(iso(e1, e2, e3) - ty(dict), iso(e1, e3)) eq(~ty(dict) & iso(e1, e2, e3), iso(e1, e3)) eq(ty(dict) | iso(e1, e2), ty(dict) | iso(e1)) eq(iso(e1, e2) | ty(dict), ty(dict) | iso(e1)) eq((ty(dict) | ty(tuple)) | iso(e1, e2), (ty(dict) | ty(tuple)) | iso(e1)) eq(iso(e1, e2) | (ty(dict) | ty(tuple)), (ty(dict) | ty(tuple)) | iso(e1)) eq(~ty(dict) | iso(e1, e2), ~ty(dict) | iso(e2)) eq(iso(e1, e2) | ~ty(dict), ~ty(dict) | iso(e2)) eq(ty(dict) - iso(e1, e2), ty(dict) - iso(e2)) eq(~iso(e1, e2) & ty(dict), ty(dict) - iso(e2)) eq(iso(e1, e3) ^ iso(e2), iso(e1, e2, e3)) eq(iso(e1, e3) ^ iso(e2, e3), iso(e1, e2)) eq(iso(e1, e3) ^ iso(e1, e3), Nothing) eq(iso(e1, e3) <= ty(list), True) eq(iso(e1, e2) <= ty(list) | ty(dict), True) eq(ty(list) >= iso(e1, e3), True) eq(ty(list) | ty(dict) >= iso(e1, e2), True) def test_2(self): un = self.un ty = self.ty do = self.do rc = self.rc iso = self.iso All = self.Anything Nothing = self.Nothing C1 = self.C1 C2 = self.C2 c1 = self.c1 class C3(object): def x(self): return 1 def asrt(x): self.assertTrue(x) def no(x): self.assertTrue(not x) eq = self.aseq # Tests to do with Nothing being finite - having length and iteration no(dict in (ty(dict) | ty(int))) no([] in (ty(dict) | ty(int))) asrt({} in (ty(dict) | ty(int))) asrt(dict in (ty(dict) | ty(int) | ty(type(dict)))) asrt(list(ty(list) & iso({})) == []) # When creating ISO classes, we don't want to memoize them # which would leak the elements. from sys import getrefcount as grc import sys import types c = C1() rc = grc(c) x = iso(c) x = None eq(grc(c), rc) def test_dictowner(self): # Special test for dict ownership # motivated by: dicts that are not found in traversal, should not # cause repeated (unsuccessfull) updates of dict ownership # This is a performance question, requires special kind of testing # # Also tests that dict & dict owners are not leaked import gc from sys import getrefcount as grc Use = self.Use C1 = self.C1 c1 = self.c1 iso = self.iso o = self.python.io.StringIO() # Create a dict hidden from view d1 = self.View.immnodeset([{}]) d3 = {} # Remember the initial ref counts for target objects gc.collect() rcd1 = grc(list(d1)[0]) rcd3 = grc(d3) rcC1 = grc(C1) rcc1 = grc(c1) rcdc1 = grc(c1.__dict__) clock = self.python.time.process_time N = 5 M = 50 # This was the fast case, when only reachable dicts are classified for i in range(N): print(iso(d3).kind, file=o) print(iso(c1.__dict__).kind, file=o) # Now measure it while 1: gc.collect() t = clock() for i in range(M): iso(d3).kind iso(c1.__dict__).kind fast = clock()-t if fast >= 0.5: # Enough resolution? break else: M *= 2 # No, try more loops # This was a slow case; involving repeated classification of a unreachable dict # It was originally 4.97 times slower when N was 5 # The problem occurs for successive classifications of different dicts, # when at least one of them is unreachable. gc.collect() for i in range(N): print(iso(*d1).kind, file=o) print(iso(c1.__dict__).kind, file=o) gc.collect() # Now measure it t = clock() for i in range(M): iso(*d1).kind iso(c1.__dict__).kind slow = clock()-t self.assertTrue(slow <= 1.5*fast) # This is another slow case according to notes Nov 18 2004. # A succession of different unreachable dicts. gc.collect() dn = self.View.immnodeset([{} for i in range(N)]) for i in range(N): print(iso(list(dn)[i]).kind, file=o) # Now measure it gc.collect() dn = self.View.immnodeset([{} for i in range(M)]) t = clock() for i in range(M): iso(list(dn)[i]).kind slow = clock()-t # Sometimes M might be huge, and the vast majority of time it is not # doing the classification. # self.assertTrue(slow <= 1.5*fast) # Partition was likewise slow for unreachable dicts dn = self.View.immnodeset([{} for i in range(N)]) gc.collect() print([x[0] for x in Use.Clodo.classifier.partition(dn)], file=o) # Now measure it dn = self.View.immnodeset([{} for i in range(M)]) gc.collect() t = clock() [x[0] for x in Use.Clodo.classifier.partition(dn)] slow = clock()-t self.assertTrue(slow <= 1.5*fast) # Check that ref counts for target objects are the same as initially gc.collect() gc.collect() # Note May 17 2005 self.aseq(grc(list(d1)[0]), rcd1) self.aseq(grc(d3), rcd3) self.aseq(grc(c1), rcc1) self.aseq(grc(C1), rcC1) self.aseq(grc(c1.__dict__), rcdc1) self.aseq(o.getvalue(), """\ dict (no owner) dict of <Module>.C1 dict (no owner) dict of <Module>.C1 dict (no owner) dict of <Module>.C1 dict (no owner) dict of <Module>.C1 dict (no owner) dict of <Module>.C1 dict (no owner) dict of <Module>.C1 dict (no owner) dict of <Module>.C1 dict (no owner) dict of <Module>.C1 dict (no owner) dict of <Module>.C1 dict (no owner) dict of <Module>.C1 dict (no owner) dict (no owner) dict (no owner) dict (no owner) dict (no owner) [hp.Nothing.dictof] """.replace('<Module>', self.__module__)) def test_retclaset(self): # Test (A) that referrer classifications don't leak their classes # and (B) that selection is not disturbed by list arguments # (This is removed since it doesnt always work) # and (C) that selection does update referrer graph correctly self.__module__ = '<Module>' # Make the rendering independent on our name from sys import getrefcount as grc import gc C1 = self.C1 c1 = self.c1 iso = self.iso rcC1 = grc(C1) o = self.python.io.StringIO() print(iso(C1).byrcs.kind, file=o) s = iso(c1).byrcs.kind print(s, file=o) self.aseq(s & iso(c1), iso(c1)) x = C1() self.aseq(s & iso(c1, x), iso(c1)) s = iso(x).byrcs.kind self.aseq(s & iso(c1, x), iso(x)) x = C1() # (C) make sure referrer graph is updated by select self.aseq(s & iso(c1, x), iso(x)) s = None x = None gc.collect() gc.collect() # Note May 17 2005 self.aseq(grc(C1), rcC1) # (A) def test_alt_retclaset(self): # Test the alternative referrer memo update # On low level, and the speed of selection import gc iso = self.iso a = [] b = self.View.immnodeset([[]]) x = [a, b] hv = self.View.hv rg = self.View.nodegraph() gc.collect() hv.update_referrers_completely(rg) self.assertTrue(x in rg[a]) self.assertTrue(rg[list(b)[0]] == (None,)) rg.clear() rg = None # Test View functionality self.View.is_rg_update_all = True gc.collect() iso(a).referrers self.assertTrue(a in self.View.rg.get_domain()) self.assertTrue(list(b)[0] in self.View.rg.get_domain()) clock = self.python.time.process_time s = iso(a) N = 1000 while 1: t = clock() for i in range(N): s.referrers fast = clock()-t if fast >= 0.5: break N *= 2 # CPU is too fast to get good resolution, try more loops t = clock() for i in range(N): self.View.rg.domain_covers([a]) self.View.rg[a] faster = clock()-t s = iso(*b) t = clock() for i in range(N): s.referrers slow = clock() - t self.assertTrue(not slow > fast * 4) def test_via(self, vlist=['v', ]): # vlist is just to make v unoptimizable # Special tests for the via classifier from sys import getrefcount as grc import gc iso = self.iso hp = self.Use d = {} k = ('k',) v = tuple(vlist) # Make sure v is not optimized to a constant d[k] = v d[v] = v rck = grc(k) rcv = grc(v) s = iso(v) self.assertTrue(s.byvia.kind == hp.Via("_.f_locals['v']", "_[('k',)]", "_[('v',)]", '_.keys()[1]') or s.byvia.kind == hp.Via("_.f_locals['v']", "_[('k',)]", "_[('v',)]", '_.keys()[0]')) del s gc.collect() gc.collect() self.aseq(grc(k), rck) self.aseq(grc(v), rcv) class RenderCase(TestCase): def test_rendering(self): import sys import types iso = self.iso C1 = self.C1 c1 = self.c1 class C3(object): def x(self): return 1 e1 = [] e2 = {} e3 = [] o = self.python.io.StringIO() # str'ing of homogenous & inhoumogenous values self.US.summary_str.str_address = lambda x: '<address>' def ps(x): print(x.brief, file=o) ps(iso(1, 2)) ps(iso(1, 2.0, 3.0)) ps(iso(e1)) ps(iso(e1, e2)) ps(iso(e1, e3)) ps(iso(self.python.builtins.TypeError())) # ps(iso(type('MetaType', (type,), {})('MetaTypeIns', (), {}))) ps(iso(None)) ps(iso(sys, support, types)) ps(iso(int, type, C3)) ps(iso(C1())) ps(iso(C3())) ps(iso(C1)) ps(iso(C3)) ps(iso(len)) ps(iso(self.setUp)) ps(iso(C1.x)) ps(iso(C1().x)) ps(iso(C3.x)) ps(iso(C3().x)) ps(iso({})) ps(iso(c1.__dict__)) ps(iso(types.__dict__)) try: 1/0 except ZeroDivisionError: typ, value, traceback = sys.exc_info() ps(iso(traceback)) ps(iso(traceback.tb_frame)) expected = textwrap.dedent("""\ <2 int: 1, 2> <3 (float | int): <2 float: 2.0, 3.0> | <1 int: 1>> <1 list: <address>*0> <2 (dict (no owner) | list): <1 dict (no owner): <address>*0> | <1 list: <ad...> <2 list: <address>*0, <address>*0> <1 TypeError: <address>> <1 builtins.NoneType: None> <3 module: guppy.heapy.test.support, sys, types> <3 type: <Module>.C3, int, type> <1 <Module>.C1: <address>> <1 <Module>.C3: <address>> <1 type: <Module>.C1> <1 type: <Module>.C3> <1 types.BuiltinMethodType: len> <1 types.MethodType: <<Module>.RenderCase at <addre...> <1 function: <Module>.x> <1 types.MethodType: <<Module>.C1 at <address>>.x> <1 function: <Module>.x> <1 types.MethodType: <<Module>.C3 at <address>>.x> <1 dict (no owner): <address>*0> <1 dict of <Module>.C1: <address>> <1 dict of module: types> <1 types.TracebackType: <in frame <test_rendering at <address>> at <address>>> <1 types.FrameType: <test_rendering at <address>>> """) expected = expected.replace('<Module>', self.__module__) if self.version_info >= (3, 10): expected = expected.replace('builtins.NoneType', 'types.NoneType') self.aseq(o.getvalue(), expected) if PORTABLE_TEST: return o = self.python.io.StringIO() # The following is nonportable, sizes may change # In particular, the list size changed from 2.3 to 2.4 # The following test is only for 2.3 in 32-bit python # pp'ing prints in a nice form # This tests all types currently defined in Classifiers.Summary_str # and then some # Except: frametype; its size varies from time to time! x = iso(len, C1, 1.0+3j, {1: 2, 3: 4}, 1.25, C1.x.__func__, 1, ['list'], 100000000000, None, C1.x, C1().x, C3.x, C3().x, sys, support, 'string', ('tuple',), C3, int, type(None), # and some types not defined C1(), C3(), c1.__dict__ ) print(x, file=o) print(x.more, file=o) # Test instancetype; we need to replace the classifier with bytype x = iso(C1()).bytype print(x, file=o) expected = """\ Partition of a set of 24 objects. Total size = 2128 bytes. Index Count % Size % Cumulative % Kind (class / dict of class) 0 3 12 1272 60 1272 60 type 1 4 17 144 7 1416 67 types.MethodType 2 1 4 136 6 1552 73 dict (no owner) 3 1 4 136 6 1688 79 dict of <Module>.C1 4 1 4 60 3 1748 82 list 5 1 4 56 3 1804 85 function 6 2 8 48 2 1852 87 module 7 1 4 44 2 1896 89 class 8 1 4 32 2 1928 91 <Module>.C1 9 1 4 32 2 1960 92 str <8 more rows. Type e.g. '_.more' to view.> Index Count % Size % Cumulative % Kind (class / dict of class) 10 1 4 32 2 1992 94 types.BuiltinMethodType 11 1 4 28 1 2020 95 <Module>.C3 12 1 4 28 1 2048 96 tuple 13 1 4 24 1 2072 97 complex 14 1 4 20 1 2092 98 long 15 1 4 16 1 2108 99 float 16 1 4 12 1 2120 100 int 17 1 4 8 0 2128 100 types.NoneType Partition of a set of 1 object. Total size = 32 bytes. Index Count % Size % Cumulative % Type 0 1 100 32 100 32 100 types.InstanceType """.replace('<Module>', self.__module__) self.aseq(o.getvalue(), expected) class BaseCase(TestCase): def test_minmax(self): s = self.guppy.sets.immbitset min = self.US.minimals max = self.US.maximals self.aseq(min([]), []) self.aseq(min([1]), [1]) self.aseq(min([1, 1]), [1]) self.aseq(min([1, 2]), [1]) self.aseq(min([[], []]), [[]]) self.aseq(min([s([1]), s([1, 2])]), [s([1])]) self.aseq(min([s([1]), s([1, 2]), s([3])]), [s([1]), s([3])]) self.aseq(max([]), []) self.aseq(max([1]), [1]) self.aseq(max([1, 1]), [1]) self.aseq(max([1, 2]), [2]) self.aseq(max([[], []]), [[]]) self.aseq(max([s([1]), s([1, 2])]), [s([1, 2])]) self.aseq(max([s([1]), s([1, 2]), s([3])]), [s([1, 2]), s([3])]) def test_base_classes(self): un = self.un ty = self.ty do = self.do rc = self.rc iso = self.iso All = self.Anything Nothing = self.Nothing C1 = self.C1 C2 = self.C2 c1 = self.c1 lt = self.lt eq = self.eq dj = self.dj nr = self.nr data = [ (All, eq, All), (ty(int), eq, ty(int)), (ty(int), dj, ty(dict)), (ty(int), lt, All), (rc(ty(dict)), eq, rc(ty(dict))), (rc(ty(dict)), lt, All), (rc(ty(dict)), dj, rc(ty(list))), (iso(1), eq, iso(1)), (iso(1), lt, All), (iso(1), dj, iso(2)), (iso(1), lt, ty(int)), (iso(1), dj, ty(dict)), (Nothing, eq, Nothing), (Nothing, lt, ty(int)), (Nothing, lt, iso(1)), ] # Test relation of base classifications for a, cmp, b in data: cmp(a, b) # Test the four set-operations: & | - ^ # depending on the asserted argument relation if cmp is eq: eq(b, a) elif cmp is lt: self.assertTrue(b > a) eq(b ^ a, b - a) # Simple transformation eq(a ^ b, b - a) # -=-, indep. of type lt(a, b) elif cmp is dj: dj(b, a) # check that the dj relation is symmetric eq(a & b, Nothing) eq(b & a, Nothing) eq(a | b, b | a) eq(a - b, a) eq((a | b) - b, a) eq(a ^ b, a | b) eq(b ^ a, a | b) lt(a, a | b) lt(b, a | b) elif cmp is nr: nr(b, a) # symmetric as well eq(a & b, b & a) eq(a & b & b, a & b) eq((a & b) - b, Nothing) eq((a | b) - b, a - b) eq(a | b, b | a) lt(Nothing, a & b) lt(Nothing, b & a) lt(a & b, a) lt(a & b, b) lt(a - b, a) dj(a - b, b) lt(a ^ b, a | b) lt(a, a | b) lt(b, a | b) def test_invalid_operations(self): US = self.US US.auto_convert_iter = False US.auto_convert_type = False ty = self.ty c1 = self.c1 self.assertRaises(TypeError, lambda: ty(c1)) self.assertRaises(TypeError, lambda: ty(int) <= None) self.assertRaises(TypeError, lambda: None >= ty(int)) self.assertRaises(TypeError, lambda: None <= ty(int)) self.assertRaises(TypeError, lambda: list(ty(int))) self.assertRaises(TypeError, lambda: len(ty(int))) self.assertRaises(TypeError, lambda: ty(int) & None) self.assertRaises(TypeError, lambda: None & ty(int)) self.assertRaises(TypeError, lambda: ty(int) | None) self.assertRaises(TypeError, lambda: None | ty(int)) self.assertRaises(TypeError, lambda: ty(int) - None) self.assertRaises(TypeError, lambda: None - ty(int)) self.assertRaises(TypeError, lambda: ty(int) ^ None) self.assertRaises(TypeError, lambda: None ^ ty(int)) self.assertRaises(TypeError, lambda: ty(int) | [14]) self.assertRaises(TypeError, lambda: ty(int) | dict) self.assertRaises(TypeError, lambda: ty(int) | self.C1) def test_fancy_list_args(self): # Test the, normally disabled, possibility to use iterables as # right and left arguments in set expressions. # This option can cause problems as noted 22/11 2004. self.US.auto_convert_iter = True eq = self.eq iso = self.iso ty = self.ty e1 = [] e2 = {} e3 = [] e4 = () eq(ty(list) & [e1, e2, e3], iso(e1, e3)) eq([e1, e2, e3] & ty(list), iso(e1, e3)) # Requires __rand__ eq([e1, e2, e4] & (ty(dict) | ty(list)) == [e1, e2], True) eq([e1, e2] & (ty(dict) | ty(list)) == [e1, e2], True) eq(iso(e1, e2) & (ty(dict) | ty(list)) == [e1, e2], True) eq(iso(e1, e2) & [e1, e3], iso(e1)) eq(iso(e1, e2) | [e1, e3], iso(e1, e2, e3)) # Requires __ror__ eq([e1, e3] | iso(e1, e2), iso(e1, e2, e3)) eq(iso(e1, e3) - [e3], iso(e1)) eq([e1, e3] - iso(e3), iso(e1)) # Requires __rsub__ eq([e1, e2, e3] - ty(dict), iso(e1, e3)) eq(~ty(dict) & [e1, e2, e3], iso(e1, e3)) eq(iso(e1, e3) ^ [e2], iso(e1, e2, e3)) eq([e2] ^ iso(e1, e3), iso(e1, e2, e3)) # Requires __rxor__ eq([e1, e2] <= iso(e1, e2, e3), True) eq([e1, e2] <= ty(list) | ty(dict), True) eq((ty(list) | ty(dict)) >= [e1, e2], True) eq([e1, e2] <= ty(list), False) eq([e1, e2] <= iso(e1), False) eq([e1, e2] >= iso(e1, e2, e3), False) eq([e1, e2] >= iso(e1, e2), True) eq(iso(e1, e2, e3) <= [e1, e2], False) eq(iso(e1, e2) <= [e1, e2], True) eq(iso(e1, e2, e3) >= [e1, e2], True) eq(iso(e1, e2) >= [e1, e2, e3], False) def test_fancy_type_conversions(self): # Test the, perhaps optional, possibility to use types and classes # in classification set expressions. self.US.auto_convert_type = True un = self.un ty = self.ty do = self.do rc = self.rc iso = self.iso All = self.Anything Nothing = self.Nothing C1 = self.C1 C2 = self.C2 c1 = self.c1 def eq(a, b): self.assertTrue(a == b) e1 = [] e2 = {} e3 = [] e4 = () eq(ty(dict), dict) eq(iso(e1, e2) & dict, iso(e2)) eq(dict & iso(e1, e2), iso(e2)) eq(iso(e1, e2) | dict, iso(e1) | ty(dict)) eq(dict | iso(e1, e2), iso(e1) | ty(dict)) eq(iso(e1, e2) - dict, iso(e1)) eq(dict - iso(e1, e2), ty(dict) - iso(e2)) eq(iso(e1, e2, e3) ^ dict, (ty(dict)-iso(e2)) | iso(e1, e3)) class LawsCase(TestCase): def test_laws(self): un = self.un ty = self.ty do = self.do rc = self.rc iso = self.iso All = self.Anything Nothing = self.Nothing C1 = self.C1 C2 = self.C2 c1 = self.c1 lt = self.lt eq = self.eq t = self.guppy.sets.test absorption = t.absorption associative = t.associative commutative = t.commutative deMorgan = t.deMorgan distributive = t.distributive idempotence = t.idempotence inclusion = t.inclusion def ltr(a, b, level=3): lt(a, b) eq(a & b, a) eq(b & a, a) eq(a | b, b) eq(b | a, b) eq(a - b, Nothing) eqr(b - a, b - a) eq((b - a) | a, b) eq(a | (b - a), b) eq(a & (b - a), Nothing) eq((b - a) & a, Nothing) eq((b - a) - a, (b - a)) eq(a - (b - a), a) # note Nov 3 2004 if level > 0: if a is Nothing: eq(b - a, b) else: ltr(b - a, b, level-1) def eqr(a, b, level=1): eq(a, b) eq(a & b, a) eq(a | b, a) eq(a - b, Nothing) eq(a ^ b, Nothing) if level: eqr(b, a, level - 1) classes = [All, ty(int), ty(type(c1)), rc(ty(dict)), iso(c1), Nothing] for a in classes: idempotence(a) for b in classes: if a <= b: if b <= a: eqr(a, b) else: ltr(a, b) elif b <= a: ltr(b, a) absorption(a, b) commutative(a, b) inclusion(a, b) deMorgan(a, b) for c in classes: associative(a, b, c) deMorgan(a, b, c) distributive(a, b, c) class ClassificationCase(TestCase): def test_classification(self): # Test classification by the standard classifiers self.View.is_rg_update_all = True # Tricky details Note Apr 22 2005 Use = self.Use iso = self.iso nodeset = self.heapy.UniSet.immnodeset class A: pass class B(object): pass a = A() b = B() li = [1, [], {}, a, b, a.__dict__, b.__dict__] for o in li: self.asis(iso(o).bytype.kind.arg, type(o)) for o in li: if o is a.__dict__: kind = iso(a).kind elif o is b.__dict__: kind = iso(b).kind elif type(o) is dict: kind = Use.Nothing elif o is a: kind = a.__class__ else: kind = type(o) self.aseq(iso(o).kind.arg, kind) cla = iso(()).byunity.kind self.asis(cla.arg, None) for o in li: self.aseq(iso(o).byunity.kind, cla) for o in li: self.aseq(iso(o).byid.kind, Use.Id(id(o))) # self.View.update_referrers(nodeset(li)) for i, o in enumerate(li): cl = iso(o).byrcs.kind if 1 <= i <= 2: self.aseq(cl, Use.Clodo.sokind(list).refdby) if i == 5: self.aseq(cl, Use.Clodo.sokind(A)(list).refdby) if i == 6: self.aseq(cl, Use.Clodo.sokind(B)(list).refdby) def test_selection(self): # Test classifications operations via selection invariant Use = self.Use class A: pass class B(object): pass a = A() b = B() li = Use.iso(135, [], {}, a, b, a.__dict__, b.__dict__) allers = (Use.Unity, Use.Type, Use.Clodo, Use.Rcs, Use.Via) # , Use.Id ps = {} for er in allers: # p = er.classifier.partition(li.nodes) p = [(av.kind, av) for av in li.by(er).partition] for ak, av in p: if ak in ps: self.aseq(ps[ak], av) else: ps[ak] = av for ak, av in list(ps.items()): self.aseq(ak & li, av) for bk, bv in list(ps.items()): # Test set operations by selection definition self.aseq((ak & bk) & li, av & bv) self.aseq((ak | bk) & li, av | bv) self.aseq((ak - bk) & li, av - bv) self.aseq((bk - ak) & li, bv - av) self.aseq((ak ^ bk) & li, av ^ bv) def test_main(testrender=1, debug=0): support.run_unittest(BaseCase, debug) support.run_unittest(ClassificationCase, debug) support.run_unittest(LawsCase, debug) support.run_unittest(RenderCase, debug) support.run_unittest(SpecialCases, debug)
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