Mercurial > repos > shellac > guppy_basecaller
annotate env/lib/python3.7/site-packages/rdflib/void.py @ 0:26e78fe6e8c4 draft
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
author | shellac |
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date | Sat, 02 May 2020 07:14:21 -0400 |
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1 import collections |
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2 |
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3 from rdflib import URIRef, Graph, Literal |
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4 from rdflib.namespace import VOID, RDF |
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5 |
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6 |
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7 def generateVoID(g, dataset=None, res=None, distinctForPartitions=True): |
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8 """ |
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9 Returns a new graph with a VoID description of the passed dataset |
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10 |
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11 For more info on Vocabulary of Interlinked Datasets (VoID), see: |
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12 http://vocab.deri.ie/void |
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13 |
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14 This only makes two passes through the triples (once to detect the types |
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15 of things) |
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16 |
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17 The tradeoff is that lots of temporary structures are built up in memory |
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18 meaning lots of memory may be consumed :) |
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19 I imagine at least a few copies of your original graph. |
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20 |
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21 the distinctForPartitions parameter controls whether |
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22 distinctSubjects/objects are tracked for each class/propertyPartition |
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23 this requires more memory again |
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24 |
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25 """ |
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26 |
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27 typeMap = collections.defaultdict(set) |
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28 classes = collections.defaultdict(set) |
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29 for e, c in g.subject_objects(RDF.type): |
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30 classes[c].add(e) |
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31 typeMap[e].add(c) |
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32 |
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33 triples = 0 |
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34 subjects = set() |
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35 objects = set() |
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36 properties = set() |
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37 classCount = collections.defaultdict(int) |
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38 propCount = collections.defaultdict(int) |
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39 |
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40 classProps = collections.defaultdict(set) |
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41 classObjects = collections.defaultdict(set) |
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42 propSubjects = collections.defaultdict(set) |
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43 propObjects = collections.defaultdict(set) |
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44 |
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45 for s, p, o in g: |
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46 |
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47 triples += 1 |
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48 subjects.add(s) |
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49 properties.add(p) |
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50 objects.add(o) |
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51 |
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52 # class partitions |
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53 if s in typeMap: |
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54 for c in typeMap[s]: |
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55 classCount[c] += 1 |
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56 if distinctForPartitions: |
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57 classObjects[c].add(o) |
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58 classProps[c].add(p) |
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59 |
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60 # property partitions |
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61 propCount[p] += 1 |
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62 if distinctForPartitions: |
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63 propObjects[p].add(o) |
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64 propSubjects[p].add(s) |
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65 |
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66 if not dataset: |
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67 dataset = URIRef("http://example.org/Dataset") |
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68 |
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69 if not res: |
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70 res = Graph() |
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71 |
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72 res.add((dataset, RDF.type, VOID.Dataset)) |
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73 |
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74 # basic stats |
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75 res.add((dataset, VOID.triples, Literal(triples))) |
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76 res.add((dataset, VOID.classes, Literal(len(classes)))) |
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77 |
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78 res.add((dataset, VOID.distinctObjects, Literal(len(objects)))) |
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79 res.add((dataset, VOID.distinctSubjects, Literal(len(subjects)))) |
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80 res.add((dataset, VOID.properties, Literal(len(properties)))) |
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81 |
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82 for i, c in enumerate(classes): |
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83 part = URIRef(dataset + "_class%d" % i) |
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84 res.add((dataset, VOID.classPartition, part)) |
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85 res.add((part, RDF.type, VOID.Dataset)) |
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86 |
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87 res.add((part, VOID.triples, Literal(classCount[c]))) |
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88 res.add((part, VOID.classes, Literal(1))) |
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89 |
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90 res.add((part, VOID["class"], c)) |
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91 |
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92 res.add((part, VOID.entities, Literal(len(classes[c])))) |
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93 res.add((part, VOID.distinctSubjects, Literal(len(classes[c])))) |
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94 |
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95 if distinctForPartitions: |
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96 res.add( |
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97 (part, VOID.properties, Literal(len(classProps[c])))) |
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98 res.add((part, VOID.distinctObjects, |
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99 Literal(len(classObjects[c])))) |
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100 |
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101 for i, p in enumerate(properties): |
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102 part = URIRef(dataset + "_property%d" % i) |
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103 res.add((dataset, VOID.propertyPartition, part)) |
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104 res.add((part, RDF.type, VOID.Dataset)) |
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105 |
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106 res.add((part, VOID.triples, Literal(propCount[p]))) |
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107 res.add((part, VOID.properties, Literal(1))) |
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108 |
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109 res.add((part, VOID.property, p)) |
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110 |
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111 if distinctForPartitions: |
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112 |
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113 entities = 0 |
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114 propClasses = set() |
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115 for s in propSubjects[p]: |
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116 if s in typeMap: |
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117 entities += 1 |
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118 for c in typeMap[s]: |
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119 propClasses.add(c) |
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120 |
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121 res.add((part, VOID.entities, Literal(entities))) |
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122 res.add((part, VOID.classes, Literal(len(propClasses)))) |
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123 |
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124 res.add((part, VOID.distinctSubjects, |
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125 Literal(len(propSubjects[p])))) |
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126 res.add((part, VOID.distinctObjects, |
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127 Literal(len(propObjects[p])))) |
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128 |
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129 return res, dataset |