annotate service/mqtt_to_rdf/inference.py @ 1627:ea559a846714

some shuffling, i don't know- i'm about to rewrite again
author drewp@bigasterisk.com
date Sat, 11 Sep 2021 23:27:32 -0700
parents 7b3656867185
children 2c85a4f5dd9c
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1 """
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2 copied from reasoning 2021-08-29. probably same api. should
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3 be able to lib/ this out
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4 """
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5 import itertools
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6 import logging
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7 import time
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8 from collections import defaultdict
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9 from dataclasses import dataclass
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10 from typing import Dict, Iterator, List, Set, Tuple, Union, cast
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11
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12 from prometheus_client import Summary, Histogram
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13 from rdflib import BNode, Graph, Namespace, URIRef
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14 from rdflib.graph import ConjunctiveGraph, ReadOnlyGraphAggregate
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15 from rdflib.term import Node, Variable
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16
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17 from candidate_binding import CandidateBinding
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18 from inference_types import (BindableTerm, EvaluationFailed, ReadOnlyWorkingSet, Triple)
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19 from lhs_evaluation import Evaluation
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20
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21 log = logging.getLogger('infer')
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22 INDENT = ' '
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23
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24 INFER_CALLS = Summary('inference_infer_calls', 'calls')
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25 INFER_GRAPH_SIZE = Histogram('inference_graph_size', 'statements', buckets=[2**x for x in range(2, 20, 2)])
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26
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27 ROOM = Namespace("http://projects.bigasterisk.com/room/")
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28 LOG = Namespace('http://www.w3.org/2000/10/swap/log#')
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29 MATH = Namespace('http://www.w3.org/2000/10/swap/math#')
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30
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31
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32 @dataclass
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33 class Lhs:
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34 graph: Graph
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35
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36 def __post_init__(self):
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37 # do precomputation in here that's not specific to the workingSet
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38 self.staticRuleStmts = Graph()
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39 self.nonStaticRuleStmts = Graph()
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40
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41 self.lhsBindables: Set[BindableTerm] = set()
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42 self.lhsBnodes: Set[BNode] = set()
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43 for ruleStmt in self.graph:
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44 varsAndBnodesInStmt = [term for term in ruleStmt if isinstance(term, (Variable, BNode))]
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45 self.lhsBindables.update(varsAndBnodesInStmt)
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46 self.lhsBnodes.update(x for x in varsAndBnodesInStmt if isinstance(x, BNode))
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47 if not varsAndBnodesInStmt:
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48 self.staticRuleStmts.add(ruleStmt)
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49 else:
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50 self.nonStaticRuleStmts.add(ruleStmt)
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51
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52 self.nonStaticRuleStmtsSet = set(self.nonStaticRuleStmts)
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53
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54 self.evaluations = list(Evaluation.findEvals(self.graph))
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55
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56 def __repr__(self):
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57 return f"Lhs({graphDump(self.graph)})"
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58
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59 def findCandidateBindings(self, knownTrue: ReadOnlyWorkingSet, stats) -> Iterator['BoundLhs']:
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60 """bindings that fit the LHS of a rule, using statements from workingSet and functions
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61 from LHS"""
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62 log.debug(f'{INDENT*3} nodesToBind: {self.lhsBindables}')
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63 stats['findCandidateBindingsCalls'] += 1
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64
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65 if not self._allStaticStatementsMatch(knownTrue):
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66 stats['findCandidateBindingEarlyExits'] += 1
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67 return
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68
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69 for binding in self._possibleBindings(knownTrue, stats):
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70 log.debug('')
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71 log.debug(f'{INDENT*4}*trying {binding.binding}')
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72
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73 if not binding.verify(knownTrue):
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74 log.debug(f'{INDENT*4} this binding did not verify')
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75 stats['permCountFailingVerify'] += 1
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76 continue
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77
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78 stats['permCountSucceeding'] += 1
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79 yield binding
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80
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81 def _allStaticStatementsMatch(self, knownTrue: ReadOnlyWorkingSet) -> bool:
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82 # bug: see TestSelfFulfillingRule.test3 for a case where this rule's
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83 # static stmt is matched by a non-static stmt in the rule itself
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84 for ruleStmt in self.staticRuleStmts:
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85 if ruleStmt not in knownTrue:
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86 log.debug(f'{INDENT*3} {ruleStmt} not in working set- skip rule')
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87 return False
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88 return True
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89
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90 def _possibleBindings(self, workingSet, stats) -> Iterator['BoundLhs']:
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91 """this yields at least the working bindings, and possibly others"""
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92 candidateTermMatches: Dict[BindableTerm, Set[Node]] = self._allCandidateTermMatches(workingSet)
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93 for bindRow in self._product(candidateTermMatches):
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94 try:
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95 yield BoundLhs(self, bindRow)
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96 except EvaluationFailed:
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97 stats['permCountFailingEval'] += 1
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98
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99 def _allCandidateTermMatches(self, workingSet: ReadOnlyWorkingSet) -> Dict[BindableTerm, Set[Node]]:
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100 """the total set of terms each variable could possibly match"""
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101
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102 candidateTermMatches: Dict[BindableTerm, Set[Node]] = defaultdict(set)
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103 for lhsStmt in self.graph:
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104 log.debug(f'{INDENT*4} possibles for this lhs stmt: {lhsStmt}')
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105 for i, trueStmt in enumerate(workingSet):
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106 # log.debug(f'{INDENT*5} consider this true stmt ({i}): {trueStmt}')
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107
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108 for v, vals in self._bindingsFromStatement(lhsStmt, trueStmt):
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109 candidateTermMatches[v].update(vals)
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110
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111 return candidateTermMatches
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112
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113 def _bindingsFromStatement(self, stmt1: Triple, stmt2: Triple) -> Iterator[Tuple[Variable, Set[Node]]]:
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114 """if these stmts match otherwise, what BNode or Variable mappings do we learn?
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115
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116 e.g. stmt1=(?x B ?y) and stmt2=(A B C), then we yield (?x, {A}) and (?y, {C})
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117 or stmt1=(_:x B C) and stmt2=(A B C), then we yield (_:x, {A})
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118 or stmt1=(?x B C) and stmt2=(A B D), then we yield nothing
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119 """
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120 bindingsFromStatement = {}
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121 for term1, term2 in zip(stmt1, stmt2):
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122 if isinstance(term1, (BNode, Variable)):
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123 bindingsFromStatement.setdefault(term1, set()).add(term2)
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124 elif term1 != term2:
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125 break
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126 else:
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127 for v, vals in bindingsFromStatement.items():
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128 log.debug(f'{INDENT*5} {v=} {vals=}')
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129 yield v, vals
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130
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131 def _product(self, candidateTermMatches: Dict[BindableTerm, Set[Node]]) -> Iterator[CandidateBinding]:
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132 orderedVars, orderedValueSets = _organize(candidateTermMatches)
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133 self._logCandidates(orderedVars, orderedValueSets)
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134 log.debug(f'{INDENT*3} trying all permutations:')
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135 if not orderedValueSets:
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136 yield CandidateBinding({})
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137 return
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138
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139 if not orderedValueSets or not all(orderedValueSets):
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140 # some var or bnode has no options at all
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141 return
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142 rings: List[Iterator[Node]] = [itertools.cycle(valSet) for valSet in orderedValueSets]
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143 currentSet: List[Node] = [next(ring) for ring in rings]
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144 starts = [valSet[-1] for valSet in orderedValueSets]
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diff changeset
145 while True:
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diff changeset
146 for col, curr in enumerate(currentSet):
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diff changeset
147 currentSet[col] = next(rings[col])
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diff changeset
148 log.debug(f'{INDENT*4} currentSet: {repr(currentSet)}')
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diff changeset
149 yield CandidateBinding(dict(zip(orderedVars, currentSet)))
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diff changeset
150 if curr is not starts[col]:
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diff changeset
151 break
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diff changeset
152 if col == len(orderedValueSets) - 1:
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diff changeset
153 return
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diff changeset
154
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diff changeset
155 def _logCandidates(self, orderedVars, orderedValueSets):
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156 if not log.isEnabledFor(logging.DEBUG):
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diff changeset
157 return
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diff changeset
158 log.debug(f'{INDENT*3} resulting candidate terms:')
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159 for v, vals in zip(orderedVars, orderedValueSets):
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diff changeset
160 log.debug(f'{INDENT*4} {v!r} could be:')
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diff changeset
161 for val in vals:
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diff changeset
162 log.debug(f'{INDENT*5}{val!r}')
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163
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164
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165 # @dataclass
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166 # class CandidateTermMatches:
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167 # """lazily find the possible matches for this term"""
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168 # terms: List[BindableTerm]
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169 # lhs: Lhs
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170 # knownTrue: Graph
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171 # boundSoFar: CandidateBinding
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172
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173 # def __post_init__(self):
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174 # self.results: List[Node] = [] # we have to be able to repeat the results
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175
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176 # res: Set[Node] = set()
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177 # for trueStmt in self.knownTrue: # all bound
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178 # lStmts = list(self.lhsStmtsContainingTerm())
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179 # log.debug(f'{INDENT*4} {trueStmt=} {len(lStmts)}')
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180 # for pat in self.boundSoFar.apply(lStmts, returnBoundStatementsOnly=False):
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181 # log.debug(f'{INDENT*4} {pat=}')
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182 # implied = self._stmtImplies(pat, trueStmt)
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183 # if implied is not None:
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184 # res.add(implied)
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185 # self.results = list(res)
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186 # # self.results.sort()
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187
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188 # log.debug(f'{INDENT*3} CandTermMatches: {self.term} {graphDump(self.lhs.graph)} {self.boundSoFar=} ===> {self.results=}')
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189
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190 # def lhsStmtsContainingTerm(self):
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191 # # lhs could precompute this
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192 # for lhsStmt in self.lhs.graph:
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193 # if self.term in lhsStmt:
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194 # yield lhsStmt
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195
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196 # def __iter__(self):
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197 # return iter(self.results)
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198
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199
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200 @dataclass
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201 class BoundLhs:
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202 lhs: Lhs
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203 binding: CandidateBinding
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204
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205 def __post_init__(self):
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206 self.usedByFuncs = Graph()
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207 self._applyFunctions()
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208
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209 def lhsStmtsWithoutEvals(self):
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210 for stmt in self.lhs.graph:
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211 if stmt in self.usedByFuncs:
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212 continue
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213 yield stmt
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214
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215 def _applyFunctions(self):
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216 """may grow the binding with some results"""
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217 while True:
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218 delta = self._applyFunctionsIteration()
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219 if delta == 0:
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220 break
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221
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222 def _applyFunctionsIteration(self):
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223 before = len(self.binding.binding)
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224 delta = 0
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225 for ev in self.lhs.evaluations:
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226 newBindings, usedGraph = ev.resultBindings(self.binding)
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227 self.usedByFuncs += usedGraph
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228 self.binding.addNewBindings(newBindings)
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diff changeset
229 delta = len(self.binding.binding) - before
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230 log.debug(f'{INDENT*4} eval rules made {delta} new bindings')
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231 return delta
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232
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233 def verify(self, workingSet: ReadOnlyWorkingSet) -> bool:
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234 """Can this bound lhs be true all at once in workingSet?"""
1615
bcfa368e5498 change a Graph.__sub__ to Set.difference in verify() for a big speedup
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diff changeset
235 rem = cast(Set[Triple], self.lhs.nonStaticRuleStmtsSet.difference(self.usedByFuncs))
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diff changeset
236 boundLhs = self.binding.apply(rem)
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237
1611
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diff changeset
238 if log.isEnabledFor(logging.DEBUG):
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239 boundLhs = list(boundLhs)
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240 self._logVerifyBanner(boundLhs, workingSet)
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241
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242 for stmt in boundLhs:
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243 log.debug(f'{INDENT*4} check for %s', stmt)
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244
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245 if stmt not in workingSet:
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246 log.debug(f'{INDENT*5} stmt not known to be true')
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247 return False
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248 return True
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249
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diff changeset
250 def _logVerifyBanner(self, boundLhs, workingSet: ReadOnlyWorkingSet):
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251 log.debug(f'{INDENT*4}/ verify all bindings against this boundLhs:')
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252 for stmt in sorted(boundLhs):
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253 log.debug(f'{INDENT*4}|{INDENT} {stmt}')
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254
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255 # log.debug(f'{INDENT*4}| and against this workingSet:')
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256 # for stmt in sorted(workingSet):
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257 # log.debug(f'{INDENT*4}|{INDENT} {stmt}')
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258
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diff changeset
259 log.debug(f'{INDENT*4}\\')
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260
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261
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262 @dataclass
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263 class Rule:
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264 lhsGraph: Graph
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265 rhsGraph: Graph
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266
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267 def __post_init__(self):
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268 self.lhs = Lhs(self.lhsGraph)
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269
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270 def applyRule(self, workingSet: Graph, implied: Graph, stats: Dict):
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271 for bound in self.lhs.findCandidateBindings(ReadOnlyGraphAggregate([workingSet]), stats):
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272 log.debug(f'{INDENT*3} rule has a working binding:')
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273
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diff changeset
274 for lhsBoundStmt in bound.binding.apply(bound.lhsStmtsWithoutEvals()):
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diff changeset
275 log.debug(f'{INDENT*4} adding {lhsBoundStmt=}')
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diff changeset
276 workingSet.add(lhsBoundStmt)
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diff changeset
277 for newStmt in bound.binding.apply(self.rhsGraph):
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diff changeset
278 log.debug(f'{INDENT*4} adding {newStmt=}')
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272f78d4671a mark skipped tests. move applyRule into Rule. minor cleanups.
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diff changeset
279 workingSet.add(newStmt)
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diff changeset
280 implied.add(newStmt)
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281
1607
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282
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parents:
diff changeset
283 class Inference:
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284
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285 def __init__(self) -> None:
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286 self.rules = []
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diff changeset
287
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diff changeset
288 def setRules(self, g: ConjunctiveGraph):
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289 self.rules: List[Rule] = []
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290 for stmt in g:
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291 if stmt[1] == LOG['implies']:
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292 self.rules.append(Rule(stmt[0], stmt[2]))
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293 # other stmts should go to a default working set?
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294
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295 @INFER_CALLS.time()
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296 def infer(self, graph: Graph):
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297 """
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298 returns new graph of inferred statements.
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299 """
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300 n = graph.__len__()
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301 INFER_GRAPH_SIZE.observe(n)
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302 log.info(f'{INDENT*0} Begin inference of graph len={n} with rules len={len(self.rules)}:')
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303 startTime = time.time()
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304 stats: Dict[str, Union[int, float]] = defaultdict(lambda: 0)
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305 # everything that is true: the input graph, plus every rule conclusion we can make
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306 workingSet = Graph()
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307 workingSet += graph
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308
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309 # just the statements that came from RHS's of rules that fired.
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310 implied = ConjunctiveGraph()
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311
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312 bailout_iterations = 100
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313 delta = 1
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314 stats['initWorkingSet'] = cast(int, workingSet.__len__())
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315 while delta > 0 and bailout_iterations > 0:
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316 log.debug('')
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317 log.info(f'{INDENT*1}*iteration ({bailout_iterations} left)')
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318 bailout_iterations -= 1
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319 delta = -len(implied)
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320 self._iterateAllRules(workingSet, implied, stats)
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321 delta += len(implied)
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322 stats['iterations'] += 1
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323 log.info(f'{INDENT*2} this inference iteration added {delta} more implied stmts')
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324 stats['timeSpent'] = round(time.time() - startTime, 3)
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325 stats['impliedStmts'] = len(implied)
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326 log.info(f'{INDENT*0} Inference done {dict(stats)}. Implied:')
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327 for st in implied:
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328 log.info(f'{INDENT*1} {st}')
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329 return implied
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330
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331 def _iterateAllRules(self, workingSet: Graph, implied: Graph, stats):
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332 for i, rule in enumerate(self.rules):
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333 self._logRuleApplicationHeader(workingSet, i, rule)
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334 rule.applyRule(workingSet, implied, stats)
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335
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336 def _logRuleApplicationHeader(self, workingSet, i, r: Rule):
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337 if not log.isEnabledFor(logging.DEBUG):
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338 return
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339
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340 log.debug('')
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341 log.debug(f'{INDENT*2} workingSet:')
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342 for j, stmt in enumerate(sorted(workingSet)):
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343 log.debug(f'{INDENT*3} ({j}) {stmt}')
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344
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345 log.debug('')
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346 log.debug(f'{INDENT*2}-applying rule {i}')
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347 log.debug(f'{INDENT*3} rule def lhs: {graphDump(r.lhsGraph)}')
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348 log.debug(f'{INDENT*3} rule def rhs: {graphDump(r.rhsGraph)}')
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349
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350
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351 def graphDump(g: Union[Graph, List[Triple]]):
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352 if not isinstance(g, Graph):
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353 log.warning(f"it's a {type(g)}")
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354 g2 = Graph()
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355 g2 += g
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356 g = g2
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357 g.bind('', ROOM)
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358 g.bind('ex', Namespace('http://example.com/'))
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359 lines = cast(bytes, g.serialize(format='n3')).decode('utf8').splitlines()
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360 lines = [line.strip() for line in lines if not line.startswith('@prefix')]
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361 return ' '.join(lines)
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362
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363
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364 def _organize(candidateTermMatches: Dict[BindableTerm, Set[Node]]) -> Tuple[List[BindableTerm], List[List[Node]]]:
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365 items = list(candidateTermMatches.items())
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366 items.sort()
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367 orderedVars: List[BindableTerm] = []
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368 orderedValueSets: List[List[Node]] = []
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369 for v, vals in items:
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370 orderedVars.append(v)
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371 orderedValues: List[Node] = list(vals)
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372 orderedValues.sort(key=str)
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373 orderedValueSets.append(orderedValues)
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374
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375 return orderedVars, orderedValueSets