annotate service/mqtt_to_rdf/stmt_chunk.py @ 1661:00a5624d1d14

cleanups and optimizations
author drewp@bigasterisk.com
date Sun, 19 Sep 2021 16:51:51 -0700
parents 31f7dab6a60b
children 1a7c1261302c
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1 import itertools
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2 import logging
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3 from dataclasses import dataclass
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4 from typing import Iterable, Iterator, List, Optional, Set, Tuple, cast
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5
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6 from rdflib.graph import Graph
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7 from rdflib.namespace import RDF
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8 from rdflib.term import BNode, Literal, Node, URIRef, Variable
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9
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10 from candidate_binding import CandidateBinding
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11 from inference_types import BindingUnknown, Inconsistent
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12
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13 log = logging.getLogger('infer')
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14
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15 INDENT = ' '
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16
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17 ChunkPrimaryTriple = Tuple[Optional[Node], Node, Optional[Node]]
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18
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19
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20 @dataclass
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21 class Chunk: # rename this
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22 """A statement, maybe with variables in it, except *the subject or object
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23 can be rdf lists*. This is done to optimize list comparisons (a lot) at the
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24 very minor expense of not handling certain exotic cases, such as a branching
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25 list.
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26
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27 Example: (?x ?y) math:sum ?z . <-- this becomes one Chunk.
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28
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29 A function call in a rule is always contained in exactly one chunk.
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30
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31 https://www.w3.org/TeamSubmission/n3/#:~:text=Implementations%20may%20treat%20list%20as%20a%20data%20type
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32 """
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33 # all immutable
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34 primary: ChunkPrimaryTriple
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35 subjList: Optional[List[Node]] = None
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36 objList: Optional[List[Node]] = None
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37
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38 def __post_init__(self):
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39 if not (((self.primary[0] is not None) ^ (self.subjList is not None)) and
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40 ((self.primary[2] is not None) ^ (self.objList is not None))):
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41 raise TypeError("invalid chunk init")
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42 self.predicate = self.primary[1]
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43 self.sortKey = (self.primary, tuple(self.subjList or []), tuple(self.objList or []))
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44
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45 def __hash__(self):
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46 return hash(self.sortKey)
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47
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48 def __gt__(self, other):
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49 return self.sortKey > other.sortKey
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50
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51 def _allTerms(self) -> Iterator[Node]:
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52 """the terms in `primary` plus the lists. Output order is undefined but stable between same-sized Chunks"""
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53 yield self.primary[1]
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54 if self.primary[0] is not None:
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55 yield self.primary[0]
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56 else:
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57 yield from cast(List[Node], self.subjList)
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58 if self.primary[2] is not None:
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59 yield self.primary[2]
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60 else:
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61 yield from cast(List[Node], self.objList)
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62
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63 def totalBindingIfThisStmtWereTrue(self, prevBindings: CandidateBinding, proposed: 'Chunk') -> CandidateBinding:
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64 outBinding = prevBindings.copy()
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65 for rt, ct in zip(self._allTerms(), proposed._allTerms()):
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66 if isinstance(rt, (Variable, BNode)):
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67 if outBinding.contains(rt) and outBinding.applyTerm(rt) != ct:
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68 msg = f'{rt=} {ct=} {outBinding=}' if log.isEnabledFor(logging.DEBUG) else ''
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69 raise Inconsistent(msg)
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70 outBinding.addNewBindings(CandidateBinding({rt: ct}))
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71 return outBinding
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72
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73 def myMatches(self, g: 'ChunkedGraph') -> List['Chunk']:
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74 """Chunks from g where self, which may have BindableTerm wildcards, could match that chunk in g."""
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75 out: List['Chunk'] = []
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76 if log.isEnabledFor(logging.DEBUG):
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77 log.debug(f'{INDENT*6} {self}.myMatches({g}')
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78 for ch in g.allChunks():
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79 if self.matches(ch):
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80 out.append(ch)
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81 return out
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82
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83 # could combine this and totalBindingIf into a single ChunkMatch object
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84 def matches(self, other: 'Chunk') -> bool:
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85 """does this Chunk with potential BindableTerm wildcards match other?"""
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86 for selfTerm, otherTerm in zip(self._allTerms(), other._allTerms()):
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87 if not isinstance(selfTerm, (Variable, BNode)) and selfTerm != otherTerm:
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88 return False
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89 return True
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90
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91 def __repr__(self):
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92 pre = ('+'.join('%s' % elem for elem in self.subjList) + '+' if self.subjList else '')
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93 post = ('+' + '+'.join('%s' % elem for elem in self.objList) if self.objList else '')
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94 return pre + repr(self.primary) + post
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95
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96 def isFunctionCall(self, functionsFor) -> bool:
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97 return bool(list(functionsFor(cast(URIRef, self.predicate))))
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98
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99 def isStatic(self) -> bool:
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100 return all(_termIsStatic(s) for s in self._allTerms())
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101
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102 def apply(self, cb: CandidateBinding, returnBoundStatementsOnly=True) -> 'Chunk':
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103 """Chunk like this one but with cb substitutions applied. If the flag is
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104 True, we raise BindingUnknown instead of leaving a term unbound"""
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105 fn = lambda t: cb.applyTerm(t, returnBoundStatementsOnly)
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106 return Chunk(
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107 (
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108 fn(self.primary[0]) if self.primary[0] is not None else None, #
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109 fn(self.primary[1]), #
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110 fn(self.primary[2]) if self.primary[2] is not None else None),
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111 subjList=[fn(t) for t in self.subjList] if self.subjList else None,
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112 objList=[fn(t) for t in self.objList] if self.objList else None,
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113 )
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114
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115
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116 def _termIsStatic(term: Optional[Node]) -> bool:
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117 return isinstance(term, (URIRef, Literal)) or term is None
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118
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119
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120 def applyChunky(cb: CandidateBinding, g: Iterable[Chunk], returnBoundStatementsOnly=True) -> Iterator[Chunk]:
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121 for chunk in g:
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122 try:
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123 bound = chunk.apply(cb, returnBoundStatementsOnly=returnBoundStatementsOnly)
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124 except BindingUnknown:
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125 log.debug(f'{INDENT*7} CB.apply cant bind {chunk} using {cb.binding}')
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126
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127 continue
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128 log.debug(f'{INDENT*7} CB.apply took {chunk} to {bound}')
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129
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130 yield bound
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131
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132
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133 class ChunkedGraph:
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134 """a Graph converts 1-to-1 with a ChunkedGraph, where the Chunks have
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135 combined some statements together. (The only exception is that bnodes for
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136 rdf lists are lost)"""
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137
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138 def __init__(
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139 self,
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140 graph: Graph,
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141 functionsFor # get rid of this- i'm just working around a circular import
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142 ):
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143 self.chunksUsedByFuncs: Set[Chunk] = set()
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144 self.staticChunks: Set[Chunk] = set()
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145 self.patternChunks: Set[Chunk] = set()
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146
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147 firstNodes = {}
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148 restNodes = {}
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149 graphStmts = set()
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150 for s, p, o in graph:
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151 if p == RDF['first']:
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152 firstNodes[s] = o
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153 elif p == RDF['rest']:
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154 restNodes[s] = o
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155 else:
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156 graphStmts.add((s, p, o))
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157
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158 def gatherList(start):
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159 lst = []
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160 cur = start
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161 while cur != RDF['nil']:
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162 lst.append(firstNodes[cur])
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163 cur = restNodes[cur]
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164 return lst
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165
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166 for s, p, o in graphStmts:
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167 subjList = objList = None
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168 if s in firstNodes:
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169 subjList = gatherList(s)
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170 s = None
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171 if o in firstNodes:
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172 objList = gatherList(o)
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173 o = None
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174 c = Chunk((s, p, o), subjList=subjList, objList=objList)
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175
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176 if c.isFunctionCall(functionsFor):
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177 self.chunksUsedByFuncs.add(c)
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178 elif c.isStatic():
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179 self.staticChunks.add(c)
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180 else:
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181 self.patternChunks.add(c)
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182
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183 def allPredicatesExceptFunctions(self) -> Set[Node]:
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184 return set(ch.predicate for ch in itertools.chain(self.staticChunks, self.patternChunks))
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185
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186 def noPredicatesAppear(self, preds: Iterable[Node]) -> bool:
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187 return self.allPredicatesExceptFunctions().isdisjoint(preds)
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188
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189 def __bool__(self):
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190 return bool(self.chunksUsedByFuncs) or bool(self.staticChunks) or bool(self.patternChunks)
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191
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192 def __repr__(self):
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193 return f'ChunkedGraph({self.__dict__})'
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194
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195 def allChunks(self) -> Iterable[Chunk]:
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196 yield from itertools.chain(self.staticChunks, self.patternChunks, self.chunksUsedByFuncs)
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197
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198 def __contains__(self, ch: Chunk) -> bool:
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199 return ch in self.allChunks()