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How to use __hash__ method in lisa
Best Python code snippet using lisa_python
graph.py
Source:graph.py 
...46 deps.append(d)47 return deps48 49def addDependency(master,slave,dep={},invdep={}):50 #print master.__hash__() , " => ", slave.__hash__(), " ", master , " => ", slave51 if master in dep:52 dep[master].add(slave)53 else:54 dep[master]= set([slave])55 if slave in invdep:56 invdep[slave].add(master)57 else:58 invdep[slave] = set([master])59 60def addDependencies(master,slaves,dep={},invdep={}):61 for slave in slaves:62 addDependency(master,slave,dep = dep,invdep = invdep)63 for slave in slaves:64 dependencyGraph(slave,dep = dep,invdep = invdep)65def dependencyGraph(s,dep = {},invdep = {}):66 if isinstance(s,SX):67 addDependencies(s,list(s.data()),dep = dep,invdep = invdep)68 elif isinstance(s,SXElement):69 if not(s.isLeaf()):70 addDependencies(s,getDeps(s),dep = dep,invdep = invdep)71 elif isinstance(s,MX):72 addDependencies(s,getDeps(s),dep = dep,invdep = invdep)73 return (dep,invdep)74 75class DotArtist:76 sparsitycol = "#eeeeee"77 def __init__(self,s,dep={},invdep={},graph=None,artists={}):78 self.s = s79 self.dep = dep80 self.invdep = invdep81 self.graph = graph82 self.artists = artists83 84 def hasPorts(self):85 return False86 87 def drawSparsity(self,s,id=None,depid=None,graph=None,nzlabels=None):88 if id is None:89 id = str(s.__hash__())90 if depid is None:91 depid = str(s.getDep(0).__hash__())92 if graph is None:93 graph = self.graph94 sp = s.sparsity()95 deps = getDeps(s)96 if nzlabels is None:97 nzlabels = map(str,range(sp.size()))98 nzlabelcounter = 099 if s.size()==s.numel():100 graph.add_node(pydot.Node(id,label="%d x %d" % (s.size1(),s.size2()),shape='rectangle',color=self.sparsitycol,style="filled"))101 else:102 label = '<<TABLE BORDER="0" CELLBORDER="1" CELLSPACING="0">'103 label+="<TR><TD COLSPAN='%d'><font color='#666666'>%s</font></TD></TR>" % (s.size2(), s.dimString())104 for i in range(s.size1()):105 label+="<TR>"106 for j in range(s.size2()):107 k = sp.getNZ_const(i,j)108 if k==-1:109 label+="<TD>.</TD>"110 else:111 label+="<TD PORT='f%d' BGCOLOR='%s'>%s</TD>" % (k,self.sparsitycol,nzlabels[nzlabelcounter])112 nzlabelcounter +=1113 label+="</TR>"114 label+="</TABLE>>"115 graph.add_node(pydot.Node(id,label=label,shape='plaintext'))116 graph.add_edge(pydot.Edge(depid,id))117 118class MXSymbolicArtist(DotArtist):119 def hasPorts(self):120 return True121 122 def draw(self):123 s = self.s124 graph = self.graph125 sp = s.sparsity()126 row = sp.row()127 col = "#990000"128 if s.size() == s.numel() and s.size()==1:129 # The Matrix grid is represented by a html table with 'ports'130 graph.add_node(pydot.Node(str(self.s.__hash__())+":f0",label=s.getName(),shape='rectangle',color=col))131 else:132 # The Matrix grid is represented by a html table with 'ports'133 label = '<<TABLE BORDER="0" CELLBORDER="1" CELLSPACING="0" COLOR="%s">' % col134 label+="<TR><TD COLSPAN='%d'>%s: <font color='#666666'>%s</font></TD></TR>" % (s.size2(),s.getName(), s.dimString())135 for i in range(s.size1()):136 label+="<TR>"137 for j in range(s.size2()):138 k = sp.getNZ_const(i,j)139 if k==-1:140 label+="<TD>.</TD>"141 else:142 label+="<TD PORT='f%d' BGCOLOR='#eeeeee'> <font color='#666666'>(%d,%d | %d)</font> </TD>" % (k,i,j,k)143 label+="</TR>"144 label+="</TABLE>>"145 graph.add_node(pydot.Node(str(self.s.__hash__()),label=label,shape='plaintext'))146 147# class MXMappingArtist(DotArtist):148# def draw(self):149# s = self.s150# graph = self.graph151# sp = s.sparsity()152# row = sp.row()153 154 155# # Note: due to Mapping restructuring, this is no longer efficient code156# deps = getDeps(s)157 158# depind = s.getDepInd()159# nzmap = sum([s.mapping(i) for i in range(len(deps))])160 161# for k,d in enumerate(deps):162# candidates = map(hash,filter(lambda i: i.isMapping(),self.invdep[d]))163# candidates.sort()164# if candidates[0] == hash(s):165# graph.add_edge(pydot.Edge(str(d.__hash__()),"mapinput" + str(d.__hash__())))166 167# graph = pydot.Cluster('clustertest' + str(s.__hash__()), rank='max', label='Mapping')168# self.graph.add_subgraph(graph)169 170 171# colors = ['#eeeecc','#ccccee','#cceeee','#eeeecc','#eeccee','#cceecc']172 173# for k,d in enumerate(deps):174# spd = d.sparsity()175# #ipdb.set_trace()176# # The Matrix grid is represented by a html table with 'ports'177# candidates = map(hash,filter(lambda i: i.isMapping(),self.invdep[d]))178# candidates.sort()179# if candidates[0] == hash(s):180# label = '<<TABLE BORDER="0" CELLBORDER="1" CELLSPACING="0" COLOR="#0000aa">'181# if not(d.numel()==1 and d.numel()==d.size()): 182# label+="<TR><TD COLSPAN='%d' BGCOLOR='#dddddd'><font>%s</font></TD></TR>" % (d.size2(), d.dimString())183# for i in range(d.size1()):184# label+="<TR>"185# for j in range(d.size2()):186# kk = spd.getNZ_const(i,j)187# if kk==-1:188# label+="<TD>.</TD>"189# else:190# label+="<TD PORT='f%d' BGCOLOR='%s'> <font color='#666666'>%d</font> </TD>" % (kk,colors[k],kk)191# label+="</TR>"192# label+="</TABLE>>"193# graph.add_node(pydot.Node("mapinput" + str(d.__hash__()),label=label,shape='plaintext'))194# graph.add_edge(pydot.Edge("mapinput" + str(d.__hash__()),str(s.__hash__())))195 196# # The Matrix grid is represented by a html table with 'ports'197# label = '<<TABLE BORDER="0" CELLBORDER="1" CELLSPACING="0">'198# if not(s.numel()==1 and s.numel()==s.size()): 199# label+="<TR><TD COLSPAN='%d'><font color='#666666'>%s</font></TD></TR>" % (s.size2(), s.dimString())200# for i in range(s.size1()):201# label+="<TR>"202# for j in range(s.size2()):203# k = sp.getNZ_const(i,j)204# if k==-1:205# label+="<TD>.</TD>"206# else:207# label+="<TD PORT='f%d' BGCOLOR='%s'> <font color='#666666'>%d</font> </TD>" % (k,colors[depind[k]],nzmap[k])208# label+="</TR>"209# label+="</TABLE>>"210# graph.add_node(pydot.Node(str(self.s.__hash__()),label=label,shape='plaintext'))211 212 213class MXEvaluationArtist(DotArtist):214 def draw(self):215 s = self.s216 graph = self.graph217 sp = s.sparsity()218 row = sp.row()219 220 221 deps = getDeps(s)222 223 f = s.getFunction()224 225 for k,d in enumerate(deps):226 graph.add_edge(pydot.Edge(str(d.__hash__()),"funinput" + str(s.__hash__())+ ":f%d" % k,rankdir="LR"))227 228 graph = pydot.Cluster(str(s.__hash__()), rank='max', label='Function:\n %s' % f.getOption("name"))229 self.graph.add_subgraph(graph)230 231 s = (" %d inputs: |" % f.getNumInputs()) + " | ".join("<f%d> %d" % (i,i) for i in range(f.getNumInputs()))232 graph.add_node(pydot.Node("funinput" + str(self.s.__hash__()),label=s,shape='Mrecord'))233 s = (" %d outputs: |" % f.getNumOutputs())+ " | ".join("<f%d> %d" % (i,i) for i in range(f.getNumOutputs()))234 graph.add_node(pydot.Node(str(self.s.__hash__()),label=s,shape='Mrecord'))235 236 237class MXConstantArtist(DotArtist):238 def hasPorts(self):239 return True240 def draw(self):241 s = self.s242 graph = self.graph243 sp = s.sparsity()244 row = sp.row()245 M = s.getMatrixValue()246 col = "#009900"247 if s.size() == s.numel() and s.size() == 1:248 graph.add_node(pydot.Node(str(self.s.__hash__())+":f0",label=M[0,0],shape='rectangle',color=col))249 else:250 # The Matrix grid is represented by a html table with 'ports'251 label = '<<TABLE BORDER="0" CELLBORDER="1" CELLSPACING="0" COLOR="%s">' % col252 label+="<TR><TD COLSPAN='%d'><font color='#666666'>%s</font></TD></TR>" % (s.size2(), s.dimString())253 for i in range(s.size1()):254 label+="<TR>"255 for j in range(s.size2()):256 k = sp.getNZ_const(i,j)257 if k==-1:258 label+="<TD>.</TD>"259 else:260 label+="<TD PORT='f%d' BGCOLOR='#eeeeee'> %s </TD>" % (k,M[i,j])261 label+="</TR>"262 label+="</TABLE>>"263 graph.add_node(pydot.Node(str(self.s.__hash__()),label=label,shape='plaintext'))264class MXGenericArtist(DotArtist):265 def draw(self):266 k = self.s267 graph = self.graph268 dep = getDeps(k)269 show_sp = not(all([d.sparsity()==k.sparsity() for d in dep]))270 271 if show_sp:272 op = "op"273 self.drawSparsity(k,depid=op + str(k.__hash__()))274 else:275 op = ""276 277 if len(dep)>1:278 # Non-commutative operators are represented by 'record' shapes.279 # The dependencies have different 'ports' where arrows should arrive.280 s = getOperatorRepresentation(self.s,["| <f%d> | " %i for i in range(len(dep))])281 if s.startswith("(|") and s.endswith("|)"):282 s=s[2:-2]283 284 graph.add_node(pydot.Node(op + str(k.__hash__()),label=s,shape='Mrecord'))285 for i,n in enumerate(dep):286 graph.add_edge(pydot.Edge(str(n.__hash__()),op + str(k.__hash__())+":f%d" % i))287 else:288 s = getOperatorRepresentation(k,["."])289 self.graph.add_node(pydot.Node(op + str(k.__hash__()),label=s,shape='oval'))290 for i,n in enumerate(dep):291 self.graph.add_edge(pydot.Edge(str(n.__hash__()),op + str(k.__hash__())))292class MXGetNonzerosArtist(DotArtist):293 def draw(self):294 s = self.s295 graph = self.graph296 n = getDeps(s)[0]297 298 299 show_sp = not(s.size() == s.numel() and s.size() == 1)300 301 if show_sp:302 op = "op"303 self.drawSparsity(s,depid=op + str(s.__hash__()))304 else:305 op = ""306 307 sp = s.sparsity()308 row = sp.row()309 M = s.mapping()310 col = "#333333"311 if s.size() == s.numel() and s.size() == 1:312 graph.add_node(pydot.Node(op+str(s.__hash__())+":f0",label="[%s]" % str(M[0,0]),shape='rectangle',style="filled",fillcolor='#eeeeff'))313 else:314 # The Matrix grid is represented by a html table with 'ports'315 label = '<<TABLE BORDER="0" CELLBORDER="1" CELLSPACING="0" COLOR="%s">' % col316 label+="<TR><TD COLSPAN='%d' PORT='entry'>getNonzeros</TD></TR>" % (s.size2())317 for i in range(s.size1()):318 label+="<TR>"319 for j in range(s.size2()):320 k = sp.getNZ_const(i,j)321 if k==-1:322 label+="<TD>.</TD>"323 else:324 label+="<TD PORT='f%d' BGCOLOR='#eeeeff'> %s </TD>" % (k,M[i,j])325 label+="</TR>"326 label+="</TABLE>>"327 graph.add_node(pydot.Node(op+str(s.__hash__()),label=label,shape='plaintext'))328 self.graph.add_edge(pydot.Edge(str(n.__hash__()),op+str(s.__hash__())))329class MXSetNonzerosArtist(DotArtist):330 def draw(self):331 s = self.s332 graph = self.graph333 entry = getDeps(s)[0]334 target = getDeps(s)[1]335 336 337 show_sp = not(all([d.sparsity()==s.sparsity() for d in getDeps(s)]))338 339 if show_sp:340 op = "op"341 self.drawSparsity(s,depid=op + str(s.__hash__()))342 else:343 op = ""344 345 sp = target.sparsity()346 row = sp.row()347 M = list(s.mapping())348 Mk = 0 349 col = "#333333"350 # The Matrix grid is represented by a html table with 'ports'351 label = '<<TABLE BORDER="0" CELLBORDER="1" CELLSPACING="0" COLOR="%s">' % col352 label+="<TR><TD COLSPAN='%d' PORT='entry'>setNonzeros</TD></TR>" % (s.size2())353 for i in range(s.size1()):354 label+="<TR>"355 for j in range(s.size2()):356 k = entry.sparsity().getNZ_const(i,j)357 if k==-1 or Mk>= len(M) or k != M[Mk]:358 label+="<TD>.</TD>"359 if Mk< len(M)-1 and M[Mk]==-1 and k!=-1: Mk+=1360 else:361 label+="<TD PORT='f%d' BGCOLOR='#eeeeff'> %s </TD>" % (Mk,Mk)362 Mk+=1 363 label+="</TR>"364 label+="</TABLE>>"365 graph.add_node(pydot.Node(op+str(s.__hash__()),label=label,shape='plaintext'))366 self.graph.add_edge(pydot.Edge(str(entry.__hash__()),op+str(s.__hash__())+':entry'))367 self.graph.add_edge(pydot.Edge(str(target.__hash__()),op+str(s.__hash__())))368class MXAddNonzerosArtist(DotArtist):369 def draw(self):370 s = self.s371 graph = self.graph372 entry = getDeps(s)[0]373 target = getDeps(s)[1]374 show_sp = not(all([d.sparsity()==s.sparsity() for d in getDeps(s)]))375 376 if show_sp:377 op = "op"378 self.drawSparsity(s,depid=op + str(s.__hash__()))379 else:380 op = ""381 382 sp = target.sparsity()383 row = sp.row()384 M = list(s.mapping())385 Mk = 0 386 col = "#333333"387 # The Matrix grid is represented by a html table with 'ports'388 label = '<<TABLE BORDER="0" CELLBORDER="1" CELLSPACING="0" COLOR="%s">' % col389 label+="<TR><TD COLSPAN='%d' PORT='entry'>addNonzeros</TD></TR>" % (s.size2())390 for i in range(s.size1()):391 label+="<TR>"392 for j in range(s.size2()):393 k = sp.getNZ_const(i,j)394 if k==-1 or Mk>= len(M) or k != M[Mk]:395 label+="<TD>.</TD>"396 if Mk< len(M)-1 and M[Mk]==-1 and k!=-1: Mk+=1397 else:398 label+="<TD PORT='f%d' BGCOLOR='#eeeeff'> %s </TD>" % (Mk,Mk)399 Mk+=1 400 label+="</TR>"401 label+="</TABLE>>"402 graph.add_node(pydot.Node(op+str(s.__hash__()),label=label,shape='plaintext'))403 self.graph.add_edge(pydot.Edge(str(entry.__hash__()),op+str(s.__hash__())+':entry'))404 self.graph.add_edge(pydot.Edge(str(target.__hash__()),op+str(s.__hash__())))405 406 407class MXOperationArtist(DotArtist):408 def draw(self):409 k = self.s410 graph = self.graph411 dep = getDeps(k)412 413 show_sp = True414 415 if k.isUnary() and dep[0].sparsity()==k.sparsity():416 show_sp = False417 if k.isBinary() and dep[0].sparsity()==k.sparsity() and dep[1].sparsity()==k.sparsity():418 show_sp = False419 420 if show_sp:421 op = "op"422 self.drawSparsity(k,depid=op + str(k.__hash__()))423 else:424 op = ""425 426 if not(k.isCommutative()):427 # Non-commutative operators are represented by 'record' shapes.428 # The dependencies have different 'ports' where arrows should arrive.429 s = getOperatorRepresentation(self.s,["| <f0> | ", " | <f1> |"])430 if s.startswith("(|") and s.endswith("|)"):431 s=s[2:-2]432 433 graph.add_node(pydot.Node(op + str(k.__hash__()),label=s,shape='Mrecord'))434 for i,n in enumerate(dep):435 graph.add_edge(pydot.Edge(str(n.__hash__()),op + str(k.__hash__())+":f%d" % i))436 else: 437 # Commutative operators can be represented more compactly as 'oval' shapes.438 s = getOperatorRepresentation(k,[".", "."])439 if s.startswith("(.") and s.endswith(".)"):440 s=s[2:-2]441 if s.startswith("(") and s.endswith(")"):442 s=s[1:-1]443 self.graph.add_node(pydot.Node(op + str(k.__hash__()),label=s,shape='oval'))444 for i,n in enumerate(dep):445 self.graph.add_edge(pydot.Edge(str(n.__hash__()),op + str(k.__hash__())))446class MXIfTestArtist(DotArtist):447 def draw(self):448 k = self.s449 graph = self.graph450 dep = getDeps(k)451 452 show_sp = True453 454 s = "<f0> ? | <f1> true"455 456 graph.add_node(pydot.Node(str(k.__hash__()),label=s,shape='Mrecord'))457 for i,n in enumerate(dep):458 graph.add_edge(pydot.Edge(str(n.__hash__()),str(k.__hash__())+":f%d" % i))459 460class MXDensificationArtist(DotArtist):461 def draw(self):462 k = self.s463 graph = self.graph464 dep = getDeps(k)465 466 self.graph.add_node(pydot.Node(str(k.__hash__()),label="densify(.)",shape='oval'))467 self.graph.add_edge(pydot.Edge(str(dep[0].__hash__()),str(k.__hash__())))468class MXNormArtist(DotArtist):469 def draw(self):470 k = self.s471 graph = self.graph472 dep = getDeps(k)473 s = getOperatorRepresentation(k,[".", "."])474 self.graph.add_node(pydot.Node(str(k.__hash__()),label=s,shape='oval'))475 self.graph.add_edge(pydot.Edge(str(dep[0].__hash__()),str(k.__hash__())))476 477class MXEvaluationOutputArtist(DotArtist):478 def draw(self):479 k = self.s480 self.drawSparsity(k,depid=str(hash(k.getDep(0))) + ":f%d" % k.getEvaluationOutput())481 482 483class MXMultiplicationArtist(DotArtist):484 def draw(self):485 k = self.s486 graph = self.graph487 dep = getDeps(k)488 # Non-commutative operators are represented by 'record' shapes.489 # The dependencies have different 'ports' where arrows should arrive.490 s = "mul(| <f0> | , | <f1> | )"491 graph.add_node(pydot.Node(str(k.__hash__()),label=s,shape='Mrecord'))492 for i,n in enumerate(dep):493 graph.add_edge(pydot.Edge(str(n.__hash__()),str(k.__hash__())+":f%d" % i))494 495class SXArtist(DotArtist):496 def draw(self):497 s = self.s498 graph = self.graph499 sp = s.sparsity()500 row = sp.row()501 502 # The Matrix grid is represented by a html table with 'ports'503 label = '<<TABLE BORDER="0" CELLBORDER="1" CELLSPACING="0">'504 for i in range(s.size1()):505 label+="<TR>"506 for j in range(s.size2()):507 k = sp.getNZ_const(i,j)508 if k==-1:509 label+="<TD>.</TD>"510 else:511 sx = s.at(k)512 if self.shouldEmbed(sx):513 label+="<TD BGCOLOR='#eeeeee'>%s</TD>" % str(sx)514 else:515 self.graph.add_edge(pydot.Edge(str(sx.__hash__()),"%s:f%d" % (str(self.s.__hash__()), k)))516 label+="<TD PORT='f%d' BGCOLOR='#eeeeee'> <font color='#666666'>(%d,%d|%d)</font> </TD>" % (k,i,j,k)517 label+="</TR>"518 label+="</TABLE>>"519 graph.add_node(pydot.Node(str(self.s.__hash__()),label=label,shape='plaintext'))520 521 def shouldEmbed(self,sx):522 return len(self.invdep[sx]) == 1 and sx.isLeaf()523 524class SXLeafArtist(DotArtist):525 def draw(self):526 if len(self.invdep[self.s]) == 1:527 master = list(self.invdep[self.s])[0]528 if hasattr(self.artists[master],'shouldEmbed'):529 if self.artists[master].shouldEmbed(self.s):530 return531 style = "solid" # Symbolic nodes are represented box'es532 if self.s.isConstant():533 style = "bold" # Constants are represented by bold box'es534 self.graph.add_node(pydot.Node(str(self.s.__hash__()),label=str(self.s),shape="box",style=style)) 535class SXNonLeafArtist(DotArtist):536 def draw(self):537 k = self.s538 graph = self.graph539 dep = getDeps(k)540 if not(k.isCommutative()):541 # Non-commutative operators are represented by 'record' shapes.542 # The dependencies have different 'ports' where arrows should arrive.543 s = getOperatorRepresentation(self.s,["| <f0> | ", " | <f1> |"])544 if s.startswith("(|") and s.endswith("|)"):545 s=s[2:-2]546 547 graph.add_node(pydot.Node(str(k.__hash__()),label=s,shape='Mrecord'))548 for i,n in enumerate(dep):549 graph.add_edge(pydot.Edge(str(n.__hash__()),str(k.__hash__())+":f%d" % i))550 else: 551 # Commutative operators can be represented more compactly as 'oval' shapes.552 s = getOperatorRepresentation(k,[".", "."])553 if s.startswith("(.") and s.endswith(".)"):554 s=s[2:-2]555 if s.startswith("(") and s.endswith(")"):556 s=s[1:-1]557 self.graph.add_node(pydot.Node(str(k.__hash__()),label=s,shape='oval'))558 for i,n in enumerate(dep):559 self.graph.add_edge(pydot.Edge(str(n.__hash__()),str(k.__hash__())))560 561 562 563def createArtist(node,dep={},invdep={},graph=None,artists={}):564 if isinstance(node,SX):565 return SXArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)566 elif isinstance(node,SXElement):567 if node.isLeaf():568 return SXLeafArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)569 else:570 return SXNonLeafArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)571 elif isinstance(node,MX):572 if node.isSymbolic():573 return MXSymbolicArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)574 elif node.isBinary() or node.isUnary():575 return MXOperationArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)576 elif node.isConstant():577 return MXConstantArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)578 elif node.isEvaluation():579 return MXEvaluationArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)580 elif node.isEvaluationOutput():581 return MXEvaluationOutputArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)582 elif node.isNorm():583 return MXNormArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)584 elif node.isOperation(C.OP_GETNONZEROS):585 return MXGetNonzerosArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)586 elif node.isOperation(C.OP_SETNONZEROS):587 return MXSetNonzerosArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)588 elif node.isOperation(C.OP_ADDNONZEROS):589 return MXAddNonzerosArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)590 else:591 return MXGenericArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)592 else:593 raise Exception("Cannot create artist for %s" % str(type(s)))594 595def dotgraph(s,direction="BT"):596 """597 Creates and returns a pydot graph structure that represents an SXElement or SX.598 599 direction one of "BT", "LR", "TB", "RL"600 """601 602 # Get the dependencies and inverse dependencies in a dict603 dep, invdep = dependencyGraph(s,{},{})604 605 allnodes = set(dep.keys()).union(set(invdep.keys()))606 607 #print "a", set(dep.keys()), [i.__hash__() for i in dep.keys()]608 #print "b", set(invdep.keys()), [i.__hash__() for i in invdep.keys()]609 #print "allnodes", allnodes, [i.__hash__() for i in allnodes]610 611 #return None612 613 artists = {}614 615 graph = pydot.Dot('G', graph_type='digraph',rankdir=direction)616 617 for node in allnodes:618 artists[node] = createArtist(node,dep=dep,invdep=invdep,graph=graph,artists=artists)619 620 for artist in artists.itervalues():621 if artist is None: continue622 artist.draw()623 ...
alcqObj.py
Source:alcqObj.py
...17 def __repr__(self):18 return f"CS({self.name!r})"19 def __eq__(self, other):20 return isinstance(other, Constant) and self.name == other.name21 def __hash__(self):22 return hash(self.__repr__())23class Concept(object):24 def __init__(self, name: str):25 self.name = name26 def __repr__(self):27 return f"Concept({self.name!r})"28 def __call__(self, obj: Constant, *args, **kwargs):29 return ConceptAssertion(self, obj)30 def __hash__(self):31 return hash(self.__repr__())32class Formula(object):33 def __init__(self):34 pass35 def __call__(self, obj: Constant, *args, **kwargs):36 return ComplexAssertion(self, obj)37 def __hash__(self):38 return hash(self.__repr__())39class PrimitiveConcept(Concept, Formula):40 def __init__(self, name: str):41 Concept.__init__(self, name)42 def __repr__(self):43 return f"PC({self.name!r})"44 def __eq__(self, other):45 return isinstance(other, PrimitiveConcept) and self.name == other.name46 def __hash__(self):47 return Concept.__hash__(self)48class Relation(object):49 def __init__(self, name: str):50 self.name = name51 def __repr__(self):52 return f"R({self.name!r})"53 def __call__(self, obj1: Constant, obj2: Constant, *args, **kwargs):54 return RelationAssertion(self, obj1, obj2)55 def __eq__(self, other):56 return isinstance(other, Relation) and self.name == other.name57 def __hash__(self):58 return hash(self.__repr__())59class Operator(Formula):60 def __init__(self, name: str):61 super().__init__()62 self.name = name63 def __hash__(self):64 return hash(self.__repr__())65# class Formula(object):66# def __init__(self, content: Union[PrimitiveConcept, Operator]):67# self.content = content68#69# def __repr__(self):70# return f"{self.content!r}"71class DefinedConcept(Concept, Formula):72 def __init__(self, name: str, defn: Formula):73 Concept.__init__(self, name)74 self.definition = defn75 def __repr__(self):76 return f"DC({self.name}: {self.definition})"77 def __eq__(self, other):78 return isinstance(other, DefinedConcept) and self.definition == other.definition79 def __hash__(self):80 return Concept.__hash__(self)81class And(Operator):82 def __init__(self, param1: Formula, param2: Formula):83 Operator.__init__(self, "And")84 self.param1 = param185 self.param2 = param286 def __repr__(self):87 return f"And({self.param1!r}, {self.param2!r})"88 def __eq__(self, other):89 return isinstance(other, And) and ((self.param1 == other.param1 and self.param2 == other.param2) or (90 self.param1 == other.param2 and self.param2 == other.param1))91 def __hash__(self):92 return Operator.__hash__(self)93class Or(Operator):94 def __init__(self, param1: Formula, param2: Formula):95 Operator.__init__(self, "Or")96 self.param1 = param197 self.param2 = param298 def __repr__(self):99 return f"Or({self.param1!r}, {self.param2!r})"100 def __eq__(self, other):101 return isinstance(other, Or) and ((self.param1 == other.param1 and self.param2 == other.param2) or (102 self.param1 == other.param2 and self.param2 == other.param1))103 def __hash__(self):104 return Operator.__hash__(self)105class Not(Operator):106 def __init__(self, param: Formula):107 Operator.__init__(self, "Not")108 self.param = param109 def __repr__(self):110 return f"Not({self.param!r})"111 def __eq__(self, other):112 return isinstance(other, Not) and self.param == other.param113 def __hash__(self):114 return Operator.__hash__(self)115class ForAll(Operator):116 def __init__(self, relation: Relation, concept: Union[Concept, Formula]):117 Operator.__init__(self, "ForAll")118 self.relation = relation119 if not isinstance(self.relation, Relation):120 raise ValueError121 self.concept = concept122 def __repr__(self):123 return f"ForAll({self.relation!r}, {self.concept!r})"124 def __eq__(self, other):125 return isinstance(other, ForAll) and self.relation == other.relation and self.concept == other.concept126 def __hash__(self):127 return Operator.__hash__(self)128class Exists(Operator):129 def __init__(self, relation: Relation, concept: Union[Concept, Formula]):130 Operator.__init__(self, "Exists")131 self.relation = relation132 self.concept = concept133 def __repr__(self):134 return f"Exists({self.relation!r}, {self.concept!r})"135 def __eq__(self, other):136 return isinstance(other, Exists) and self.relation == other.relation and self.concept == other.concept137 def __hash__(self):138 return Operator.__hash__(self)139class AtLeast(Operator):140 def __init__(self, n: int, relation: Relation, concept: Union[Concept, Formula]):141 Operator.__init__(self, "AtLeast")142 if n < 0:143 raise ValueError("invalid n")144 self.n = n145 self.relation = relation146 self.concept = concept147 def __repr__(self):148 return f"AtLeast[{self.n!r}]({self.relation!r}, {self.concept!r})"149 def __eq__(self, other):150 return isinstance(other,151 AtLeast) and self.n == other.n and self.relation == other.relation and self.concept == other.concept152 def __hash__(self):153 return hash(self.__repr__())154class AtMost(Operator):155 def __init__(self, n: int, relation: Relation, concept: Union[Concept, Formula]):156 Operator.__init__(self, "AtMost")157 if n < 0:158 raise ValueError("invalid n")159 self.n = n160 self.relation = relation161 self.concept = concept162 def __repr__(self):163 return f"AtMost[{self.n!r}]({self.relation!r}, {self.concept!r})"164 def __eq__(self, other):165 return isinstance(other,166 AtMost) and self.n == other.n and self.relation == other.relation and self.concept == other.concept167 def __hash__(self):168 return hash(self.__repr__())169class Assertion(object):170 def __init__(self):171 pass172 def __hash__(self):173 return hash(self.__repr__())174class ConceptAssertion(Assertion):175 def __init__(self, concept: Concept, obj: Constant):176 Assertion.__init__(self)177 self.concept = concept178 self.obj = obj179 def __repr__(self):180 return f"CA[{self.concept!r}:({self.obj!r})]"181 def __eq__(self, other):182 return isinstance(other, ConceptAssertion) and self.concept == other.concept and self.obj == other.obj183 def __hash__(self):184 return Assertion.__hash__(self)185class RelationAssertion(Assertion):186 def __init__(self, relation: Relation, obj1: Constant, obj2: Constant):187 Assertion.__init__(self)188 self.relation = relation189 self.obj1 = obj1190 self.obj2 = obj2191 def __repr__(self):192 return f"RA[{self.relation!r}:({self.obj1!r},{self.obj2!r})]"193 def __eq__(self, other):194 return isinstance(other,195 RelationAssertion) and self.relation == other.relation and self.obj1 == other.obj1 and self.obj2 == other.obj2196 def __hash__(self):197 return Assertion.__hash__(self)198ABox = Set[Assertion]199TBox = List[Concept]200class ComplexAssertion(Assertion):201 def __init__(self, formula: Formula, obj: Constant):202 super().__init__()203 self.formula = formula204 self.obj = obj205 def __repr__(self):206 return f"XA[{self.formula!r}({self.obj!r})]"207 def __eq__(self, other):208 return isinstance(other, ComplexAssertion) and self.formula == other.formula and self.obj == other.obj209 def __hash__(self):210 return Assertion.__hash__(self)211class InequalityAssertion(Assertion):212 def __init__(self, obj1: Constant, obj2: Constant):213 super().__init__()214 self.obj1 = obj1215 self.obj2 = obj2216 def __repr__(self):217 return f"NEQ[{self.obj1!r}, {self.obj2!r}]"218 def __eq__(self, other):219 return isinstance(other, InequalityAssertion) and ((self.obj1 == other.obj1 and self.obj2 == other.obj2)220 or (self.obj1 == other.obj2 and self.obj2 == other.obj1))221 # TODO: x1=x2, x2=x1? AND/OR also has a similar problem?222 __hash__ = Assertion.__hash__223def ne(obj1: Constant, obj2: Constant) -> InequalityAssertion:224 """...
invalid_hash_returned.py
Source:invalid_hash_returned.py
...3import six4from missing import Missing5class FirstGoodHash(object):6 """__hash__ returns <type 'int'>"""7 def __hash__(self):8 return 19class SecondGoodHash(object):10 """__hash__ returns <type 'int'>"""11 def __hash__(self):12 return 013class HashMetaclass(type):14 def __hash__(cls):15 return 116@six.add_metaclass(HashMetaclass)17class ThirdGoodHash(object):18 """Hash through the metaclass."""19class FirstBadHash(object):20 """ __hash__ returns a dict """21 def __hash__(self): # [invalid-hash-returned]22 return {}23class SecondBadHash(object):24 """ __hash__ returns str """25 def __hash__(self): # [invalid-hash-returned]26 return "True"27class ThirdBadHash(object):28 """ __hash__ returns a float"""29 def __hash__(self): # [invalid-hash-returned]30 return 1.1131class FourthBadHash(object):32 """ __hash__ returns node which does not have 'value' in AST """33 def __hash__(self): # [invalid-hash-returned]34 return lambda: 335class AmbigousHash(object):36 """ Uninferable return value """37 __hash__ = lambda self: Missing38class AnotherAmbiguousHash(object):39 """Potential uninferable return value"""40 def __hash__(self):...
builtin_hash.py
Source:builtin_hash.py
...9 hash([])10except TypeError:11 print("TypeError")12class A:13 def __hash__(self):14 return 12315 def __repr__(self):16 return "a instance"17print(hash(A()))18print({A():1})19# all user-classes have default __hash__20class B:21 pass22hash(B())23# if __eq__ is defined then default __hash__ is not used24class C:25 def __eq__(self, another):26 return True27try:28 hash(C())29except TypeError:30 print("TypeError")31# __hash__ must return an int32class D:33 def __hash__(self):34 return None35try:36 hash(D())37except TypeError:38 print("TypeError")39# __hash__ returning a bool should be converted to an int40class E:41 def __hash__(self):42 return True43print(hash(E()))44# __hash__ returning a large number should be truncated45class F:46 def __hash__(self):47 return 1 << 70 | 1...
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