Mercurial > code > home > repos > homeauto
annotate service/mqtt_to_rdf/inference.py @ 1669:9d00adef0b22
rm used parameter
author | drewp@bigasterisk.com |
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date | Tue, 21 Sep 2021 23:20:16 -0700 |
parents | 89e53cb8a01c |
children | 80f4e741ca4f |
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1587 | 1 """ |
2 copied from reasoning 2021-08-29. probably same api. should | |
3 be able to lib/ this out | |
4 """ | |
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5 import itertools |
1587 | 6 import logging |
1601 | 7 import time |
1594 | 8 from collections import defaultdict |
1626 | 9 from dataclasses import dataclass |
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10 from typing import Dict, Iterator, List, Optional, Sequence, Union, cast |
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11 |
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12 from prometheus_client import Histogram, Summary |
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13 from rdflib import BNode, Graph, Namespace |
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14 from rdflib.graph import ConjunctiveGraph |
1640 | 15 from rdflib.term import Node, URIRef, Variable |
1587 | 16 |
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17 from candidate_binding import BindingConflict, CandidateBinding |
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18 from inference_types import BindingUnknown, Inconsistent, Triple |
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19 from lhs_evaluation import functionsFor |
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20 from rdf_debug import graphDump |
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21 from stmt_chunk import AlignedRuleChunk, Chunk, ChunkedGraph, applyChunky |
1605 | 22 |
1587 | 23 log = logging.getLogger('infer') |
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24 odolog = logging.getLogger('infer.odo') # the "odometer" logic |
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25 ringlog = logging.getLogger('infer.ring') # for ChunkLooper |
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26 |
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27 INDENT = ' ' |
1587 | 28 |
1626 | 29 INFER_CALLS = Summary('inference_infer_calls', 'calls') |
30 INFER_GRAPH_SIZE = Histogram('inference_graph_size', 'statements', buckets=[2**x for x in range(2, 20, 2)]) | |
1587 | 31 |
32 ROOM = Namespace("http://projects.bigasterisk.com/room/") | |
33 LOG = Namespace('http://www.w3.org/2000/10/swap/log#') | |
34 MATH = Namespace('http://www.w3.org/2000/10/swap/math#') | |
35 | |
36 | |
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37 class NoOptions(ValueError): |
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38 """ChunkLooper has no possibilites to add to the binding; the whole rule must therefore not apply""" |
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39 |
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40 |
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41 _chunkLooperShortId = itertools.count() |
1632 | 42 |
43 | |
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44 @dataclass |
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45 class ChunkLooper: |
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46 """given one LHS Chunk, iterate through the possible matches for it, |
1632 | 47 returning what bindings they would imply. Only distinct bindings are |
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48 returned. The bindings build on any `prev` ChunkLooper's results. |
1632 | 49 |
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50 In the odometer metaphor used below, this is one of the rings. |
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51 |
1632 | 52 This iterator is restartable.""" |
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53 lhsChunk: Chunk |
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54 prev: Optional['ChunkLooper'] |
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55 workingSet: 'ChunkedGraph' |
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56 |
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57 def __repr__(self): |
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58 return f'{self.__class__.__name__}{self._shortId}{"<pastEnd>" if self.pastEnd() else ""}' |
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59 |
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60 def __post_init__(self): |
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61 self._shortId = next(_chunkLooperShortId) |
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62 self._alignedMatches = list(self.lhsChunk.ruleMatchesFrom(self.workingSet)) |
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63 |
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64 # only ours- do not store prev, since it could change without us |
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65 self._current = CandidateBinding({}) |
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66 self._pastEnd = False |
1667 | 67 self._seenBindings: List[CandidateBinding] = [] # combined bindings (up to our ring) that we've returned |
1648 | 68 |
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69 if ringlog.isEnabledFor(logging.DEBUG): |
1667 | 70 ringlog.debug('') |
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71 ringlog.debug(f'{INDENT*6} introducing {self!r}({self.lhsChunk}, {self._alignedMatches=})') |
1648 | 72 |
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73 self.restart() |
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74 |
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75 def _prevBindings(self) -> CandidateBinding: |
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76 if not self.prev or self.prev.pastEnd(): |
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77 return CandidateBinding({}) |
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78 |
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79 return self.prev.currentBinding() |
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80 |
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81 def advance(self): |
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82 """update _current to a new set of valid bindings we haven't seen (since |
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83 last restart), or go into pastEnd mode. Note that _current is just our |
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84 contribution, but returned valid bindings include all prev rings.""" |
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85 if self._pastEnd: |
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86 raise NotImplementedError('need restart') |
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87 ringlog.debug('') |
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88 augmentedWorkingSet: List[AlignedRuleChunk] = [] |
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89 if self.prev is None: |
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90 augmentedWorkingSet = self._alignedMatches |
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91 else: |
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92 augmentedWorkingSet = list( |
1669 | 93 applyChunky(self.prev.currentBinding(), self._alignedMatches)) |
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94 |
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95 if self._advanceWithPlainMatches(augmentedWorkingSet): |
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96 ringlog.debug(f'{INDENT*6} <-- {self}.advance finished with plain matches') |
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97 return |
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98 |
1639 | 99 if self._advanceWithFunctions(): |
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100 ringlog.debug(f'{INDENT*6} <-- {self}.advance finished with function matches') |
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101 return |
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102 |
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103 ringlog.debug(f'{INDENT*6} <-- {self}.advance had nothing and is now past end') |
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104 self._pastEnd = True |
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105 |
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106 def _advanceWithPlainMatches(self, augmentedWorkingSet: List[AlignedRuleChunk]) -> bool: |
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107 ringlog.debug(f'{INDENT*7} {self} mines {len(augmentedWorkingSet)} matching augmented statements') |
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108 for s in augmentedWorkingSet: |
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109 ringlog.debug(f'{INDENT*8} {s}') |
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110 |
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111 for aligned in augmentedWorkingSet: |
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112 try: |
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113 newBinding = aligned.newBindingIfMatched(self._prevBindings()) |
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114 except Inconsistent as exc: |
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115 ringlog.debug( |
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116 f'{INDENT*7} ChunkLooper{self._shortId} - {aligned} would be inconsistent with prev bindings ({exc})') |
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117 continue |
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119 if self._testAndKeepNewBinding(newBinding): |
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120 return True |
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121 return False |
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122 |
1639 | 123 def _advanceWithFunctions(self) -> bool: |
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124 pred: Node = self.lhsChunk.predicate |
1640 | 125 if not isinstance(pred, URIRef): |
126 raise NotImplementedError | |
1632 | 127 |
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128 ringlog.debug(f'{INDENT*6} advanceWithFunctions {pred!r}') |
1652 | 129 |
1637 | 130 for functionType in functionsFor(pred): |
1661 | 131 fn = functionType(self.lhsChunk) |
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132 ringlog.debug(f'{INDENT*7} ChunkLooper{self._shortId} advanceWithFunctions, {functionType=}') |
1652 | 133 |
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134 try: |
1652 | 135 |
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136 newBinding = fn.bind(self._prevBindings()) |
1637 | 137 except BindingUnknown: |
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138 pass |
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139 else: |
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140 if newBinding is not None: |
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141 if self._testAndKeepNewBinding(newBinding): |
1637 | 142 return True |
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143 |
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144 return False |
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145 |
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146 def _testAndKeepNewBinding(self, newBinding): |
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147 fullBinding: CandidateBinding = self._prevBindings().copy() |
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148 fullBinding.addNewBindings(newBinding) |
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149 isNew = fullBinding not in self._seenBindings |
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150 ringlog.debug(f'{INDENT*7} {self} considering {newBinding=} to make {fullBinding}. {isNew=}') |
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151 if isNew: |
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152 self._seenBindings.append(fullBinding.copy()) |
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153 self._current = newBinding |
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154 return True |
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155 return False |
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156 |
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157 def _boundOperands(self, operands) -> List[Node]: |
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158 pb: CandidateBinding = self._prevBindings() |
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159 |
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160 boundOperands: List[Node] = [] |
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161 for op in operands: |
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162 if isinstance(op, (Variable, BNode)): |
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163 boundOperands.append(pb.applyTerm(op)) |
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164 else: |
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165 boundOperands.append(op) |
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166 return boundOperands |
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167 |
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168 def currentBinding(self) -> CandidateBinding: |
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169 if self.pastEnd(): |
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170 raise NotImplementedError() |
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171 together = self._prevBindings().copy() |
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172 together.addNewBindings(self._current) |
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173 return together |
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174 |
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175 def pastEnd(self) -> bool: |
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176 return self._pastEnd |
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177 |
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178 def restart(self): |
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179 self._pastEnd = False |
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180 self._seenBindings = [] |
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181 self.advance() |
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182 if self.pastEnd(): |
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183 raise NoOptions() |
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184 |
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185 |
1594 | 186 @dataclass |
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187 class Lhs: |
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188 graph: ChunkedGraph # our full LHS graph, as input. See below for the statements partitioned into groups. |
1594 | 189 |
190 def __post_init__(self): | |
1648 | 191 |
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192 self.myPreds = self.graph.allPredicatesExceptFunctions() |
1602 | 193 |
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194 def __repr__(self): |
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195 return f"Lhs({self.graph!r})" |
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196 |
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197 def findCandidateBindings(self, knownTrue: ChunkedGraph, stats, ruleStatementsIterationLimit) -> Iterator['BoundLhs']: |
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198 """distinct bindings that fit the LHS of a rule, using statements from |
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199 workingSet and functions from LHS""" |
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200 if not self.graph: |
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201 # special case- no LHS! |
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202 yield BoundLhs(self, CandidateBinding({})) |
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203 return |
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204 |
1640 | 205 if self._checkPredicateCounts(knownTrue): |
206 stats['_checkPredicateCountsCulls'] += 1 | |
207 return | |
208 | |
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209 if not all(ch in knownTrue for ch in self.graph.staticChunks): |
1648 | 210 stats['staticStmtCulls'] += 1 |
211 return | |
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212 # After this point we don't need to consider self.graph.staticChunks. |
1648 | 213 |
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214 if not self.graph.patternChunks and not self.graph.chunksUsedByFuncs: |
1648 | 215 # static only |
216 yield BoundLhs(self, CandidateBinding({})) | |
217 return | |
218 | |
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219 log.debug('') |
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220 try: |
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221 chunkStack = self._assembleRings(knownTrue, stats) |
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222 except NoOptions: |
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223 ringlog.debug(f'{INDENT*5} start up with no options; 0 bindings') |
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224 return |
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225 self._debugChunkStack('time to spin: initial odometer is', chunkStack) |
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226 self._assertAllRingsAreValid(chunkStack) |
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227 |
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228 lastRing = chunkStack[-1] |
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229 iterCount = 0 |
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230 while True: |
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231 iterCount += 1 |
1648 | 232 if iterCount > ruleStatementsIterationLimit: |
233 raise ValueError('rule too complex') | |
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234 |
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235 log.debug(f'{INDENT*4} vv findCandBindings iteration {iterCount}') |
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236 |
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237 yield BoundLhs(self, lastRing.currentBinding()) |
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238 |
1667 | 239 # self._debugChunkStack('odometer', chunkStack) |
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240 |
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241 done = self._advanceTheStack(chunkStack) |
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242 |
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243 self._debugChunkStack(f'odometer after ({done=})', chunkStack) |
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244 |
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245 log.debug(f'{INDENT*4} ^^ findCandBindings iteration done') |
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246 if done: |
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247 break |
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248 |
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249 def _debugChunkStack(self, label: str, chunkStack: List[ChunkLooper]): |
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250 odolog.debug(f'{INDENT*4} {label}:') |
1652 | 251 for i, l in enumerate(chunkStack): |
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252 odolog.debug(f'{INDENT*5} [{i}] {l} curbind={l.currentBinding() if not l.pastEnd() else "<end>"}') |
1632 | 253 |
1640 | 254 def _checkPredicateCounts(self, knownTrue): |
255 """raise NoOptions quickly in some cases""" | |
1648 | 256 |
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257 if self.graph.noPredicatesAppear(self.myPreds): |
1652 | 258 log.debug(f'{INDENT*3} checkPredicateCounts does cull because not all {self.myPreds=} are in knownTrue') |
1640 | 259 return True |
1652 | 260 log.debug(f'{INDENT*3} checkPredicateCounts does not cull because all {self.myPreds=} are in knownTrue') |
1640 | 261 return False |
262 | |
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263 def _assembleRings(self, knownTrue: ChunkedGraph, stats) -> List[ChunkLooper]: |
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264 """make ChunkLooper for each stmt in our LHS graph, but do it in a way that they all |
1652 | 265 start out valid (or else raise NoOptions). static chunks have already been confirmed.""" |
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266 |
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267 log.debug(f'{INDENT*4} stats={dict(stats)}') |
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268 odolog.debug(f'{INDENT*3} build new ChunkLooper stack') |
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269 chunks = list(self.graph.patternChunks.union(self.graph.chunksUsedByFuncs)) |
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270 chunks.sort(key=None) |
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271 odolog.info(f' {INDENT*3} taking permutations of {len(chunks)=}') |
1653 | 272 for i, perm in enumerate(itertools.permutations(chunks)): |
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273 looperRings: List[ChunkLooper] = [] |
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274 prev: Optional[ChunkLooper] = None |
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275 if odolog.isEnabledFor(logging.DEBUG): |
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276 odolog.debug(f'{INDENT*4} [perm {i}] try rule chunks in this order: {" THEN ".join(repr(p) for p in perm)}') |
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277 |
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278 for ruleChunk in perm: |
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279 try: |
1661 | 280 # These are getting rebuilt a lot which takes time. It would |
281 # be nice if they could accept a changing `prev` order | |
282 # (which might already be ok). | |
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283 looper = ChunkLooper(ruleChunk, prev, knownTrue) |
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284 except NoOptions: |
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285 odolog.debug(f'{INDENT*5} permutation didnt work, try another') |
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286 break |
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287 looperRings.append(looper) |
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288 prev = looperRings[-1] |
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289 else: |
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290 # bug: At this point we've only shown that these are valid |
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291 # starting rings. The rules might be tricky enough that this |
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292 # permutation won't get us to the solution. |
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293 return looperRings |
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294 if i > 50000: |
1652 | 295 raise NotImplementedError(f'trying too many permutations {len(chunks)=}') |
1648 | 296 |
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297 odolog.debug(f'{INDENT*5} no perms worked- rule cannot match anything') |
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298 raise NoOptions() |
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299 |
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300 def _advanceTheStack(self, looperRings: List[ChunkLooper]) -> bool: |
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301 carry = True # last elem always must advance |
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302 for i, ring in reversed(list(enumerate(looperRings))): |
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303 # unlike normal odometer, advancing any earlier ring could invalidate later ones |
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304 if carry: |
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305 odolog.debug(f'{INDENT*4} advanceAll [{i}] {ring} carry/advance') |
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306 ring.advance() |
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307 carry = False |
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308 if ring.pastEnd(): |
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309 if ring is looperRings[0]: |
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310 allRingsDone = [r.pastEnd() for r in looperRings] |
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311 odolog.debug(f'{INDENT*4} advanceAll [{i}] {ring} says we done {allRingsDone=}') |
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312 return True |
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313 odolog.debug(f'{INDENT*4} advanceAll [{i}] {ring} restart') |
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314 ring.restart() |
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315 carry = True |
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316 return False |
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317 |
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318 def _assertAllRingsAreValid(self, looperRings): |
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319 if any(ring.pastEnd() for ring in looperRings): # this is an unexpected debug assertion |
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320 odolog.warning(f'{INDENT*4} some rings started at pastEnd {looperRings}') |
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321 raise NoOptions() |
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322 |
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323 |
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324 @dataclass |
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325 class BoundLhs: |
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326 lhs: Lhs |
1610 | 327 binding: CandidateBinding |
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328 |
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329 |
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330 @dataclass |
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331 class Rule: |
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332 lhsGraph: Graph |
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333 rhsGraph: Graph |
1632 | 334 |
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335 def __post_init__(self): |
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336 self.lhs = Lhs(ChunkedGraph(self.lhsGraph, functionsFor)) |
1632 | 337 # |
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338 self.rhsBnodeMap = {} |
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339 |
1648 | 340 def applyRule(self, workingSet: Graph, implied: Graph, stats: Dict, ruleStatementsIterationLimit): |
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341 # this does not change for the current applyRule call. The rule will be |
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342 # tried again in an outer loop, in case it can produce more. |
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343 workingSetChunked = ChunkedGraph(workingSet, functionsFor) |
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344 |
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345 for bound in self.lhs.findCandidateBindings(workingSetChunked, stats, ruleStatementsIterationLimit): |
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346 log.debug(f'{INDENT*5} +rule has a working binding: {bound}') |
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347 |
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348 # rhs could have more bnodes, and they just need to be distinct per rule-firing that we do |
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349 existingRhsBnodes = set() |
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350 for stmt in self.rhsGraph: |
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351 for t in stmt: |
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352 if isinstance(t, BNode): |
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353 existingRhsBnodes.add(t) |
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354 # if existingRhsBnodes: |
1632 | 355 # log.debug(f'{INDENT*6} mapping rhs bnodes {existingRhsBnodes} to new ones') |
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356 |
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357 for b in existingRhsBnodes: |
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358 |
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359 key = tuple(sorted(bound.binding.binding.items())), b |
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360 self.rhsBnodeMap.setdefault(key, BNode()) |
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361 try: |
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362 bound.binding.addNewBindings(CandidateBinding({b: self.rhsBnodeMap[key]})) |
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363 except BindingConflict: |
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364 continue |
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365 |
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366 # for lhsBoundStmt in bound.binding.apply(bound.lhsStmtsWithoutEvals()): |
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367 # log.debug(f'{INDENT*6} adding to workingSet {lhsBoundStmt=}') |
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368 # workingSet.add(lhsBoundStmt) |
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369 # log.debug(f'{INDENT*6} rhsGraph is good: {list(self.rhsGraph)}') |
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370 |
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371 for newStmt in bound.binding.apply(self.rhsGraph): |
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372 # log.debug(f'{INDENT*6} adding {newStmt=}') |
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373 workingSet.add(newStmt) |
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374 implied.add(newStmt) |
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375 |
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376 |
1648 | 377 @dataclass |
1587 | 378 class Inference: |
1648 | 379 rulesIterationLimit = 3 |
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380 ruleStatementsIterationLimit = 5000 |
1587 | 381 |
382 def __init__(self) -> None: | |
1648 | 383 self.rules: List[Rule] = [] |
384 self._nonRuleStmts: List[Triple] = [] | |
1587 | 385 |
386 def setRules(self, g: ConjunctiveGraph): | |
1648 | 387 self.rules = [] |
388 self._nonRuleStmts = [] | |
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389 for stmt in g: |
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390 if stmt[1] == LOG['implies']: |
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391 self.rules.append(Rule(stmt[0], stmt[2])) |
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392 else: |
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393 self._nonRuleStmts.append(stmt) |
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394 |
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395 def nonRuleStatements(self) -> List[Triple]: |
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396 return self._nonRuleStmts |
1587 | 397 |
1601 | 398 @INFER_CALLS.time() |
1587 | 399 def infer(self, graph: Graph): |
400 """ | |
401 returns new graph of inferred statements. | |
402 """ | |
1626 | 403 n = graph.__len__() |
404 INFER_GRAPH_SIZE.observe(n) | |
405 log.info(f'{INDENT*0} Begin inference of graph len={n} with rules len={len(self.rules)}:') | |
1601 | 406 startTime = time.time() |
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407 stats: Dict[str, Union[int, float]] = defaultdict(lambda: 0) |
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408 |
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409 # everything that is true: the input graph, plus every rule conclusion we can make |
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410 workingSet = Graph() |
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411 workingSet += self._nonRuleStmts |
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412 workingSet += graph |
1587 | 413 |
1594 | 414 # just the statements that came from RHS's of rules that fired. |
1587 | 415 implied = ConjunctiveGraph() |
416 | |
1648 | 417 rulesIterations = 0 |
1587 | 418 delta = 1 |
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419 stats['initWorkingSet'] = cast(int, workingSet.__len__()) |
1648 | 420 while delta > 0 and rulesIterations <= self.rulesIterationLimit: |
1620 | 421 log.debug('') |
1648 | 422 log.info(f'{INDENT*1}*iteration {rulesIterations}') |
423 | |
1587 | 424 delta = -len(implied) |
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425 self._iterateAllRules(workingSet, implied, stats) |
1587 | 426 delta += len(implied) |
1648 | 427 rulesIterations += 1 |
1597 | 428 log.info(f'{INDENT*2} this inference iteration added {delta} more implied stmts') |
1648 | 429 stats['iterations'] = rulesIterations |
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430 stats['timeSpent'] = round(time.time() - startTime, 3) |
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431 stats['impliedStmts'] = len(implied) |
1648 | 432 log.info(f'{INDENT*0} Inference done {dict(stats)}.') |
433 log.debug('Implied:') | |
434 log.debug(graphDump(implied)) | |
1587 | 435 return implied |
436 | |
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437 def _iterateAllRules(self, workingSet: Graph, implied: Graph, stats): |
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438 for i, rule in enumerate(self.rules): |
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439 self._logRuleApplicationHeader(workingSet, i, rule) |
1648 | 440 rule.applyRule(workingSet, implied, stats, self.ruleStatementsIterationLimit) |
1587 | 441 |
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442 def _logRuleApplicationHeader(self, workingSet, i, r: Rule): |
1594 | 443 if not log.isEnabledFor(logging.DEBUG): |
444 return | |
445 | |
446 log.debug('') | |
447 log.debug(f'{INDENT*2} workingSet:') | |
1648 | 448 # for j, stmt in enumerate(sorted(workingSet)): |
449 # log.debug(f'{INDENT*3} ({j}) {stmt}') | |
450 log.debug(f'{INDENT*3} {graphDump(workingSet, oneLine=False)}') | |
1594 | 451 |
452 log.debug('') | |
453 log.debug(f'{INDENT*2}-applying rule {i}') | |
1632 | 454 log.debug(f'{INDENT*3} rule def lhs:') |
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455 for stmt in sorted(r.lhsGraph, reverse=True): |
1632 | 456 log.debug(f'{INDENT*4} {stmt}') |
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457 log.debug(f'{INDENT*3} rule def rhs: {graphDump(r.rhsGraph)}') |