Mercurial > repos > shellac > guppy_basecaller

annotate env/lib/python3.7/site-packages/rdflib/__init__.py @ 4:79f47841a781 draft

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"planemo upload commit 2a0fe2cc28b09e101d37293e53e82f61762262ec"
author shellac
date Thu, 14 May 2020 16:47:39 -0400
parents 26e78fe6e8c4
children
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1 """A pure Python package providing the core RDF constructs.
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2
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3 The packages is intended to provide the core RDF types and interfaces
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4 for working with RDF. The package defines a plugin interface for
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5 parsers, stores, and serializers that other packages can use to
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6 implement parsers, stores, and serializers that will plug into the
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7 rdflib package.
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8
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9 The primary interface `rdflib` exposes to work with RDF is
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10 `rdflib.graph.Graph`.
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11
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12 A tiny example:
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13
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14 >>> from rdflib import Graph, URIRef, Literal
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15
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16 >>> g = Graph()
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17 >>> result = g.parse("http://www.w3.org/2000/10/swap/test/meet/blue.rdf")
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18
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19 >>> print("graph has %s statements." % len(g))
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20 graph has 4 statements.
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21 >>>
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22 >>> for s, p, o in g:
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23 ... if (s, p, o) not in g:
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24 ... raise Exception("It better be!")
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25
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26 >>> s = g.serialize(format='nt')
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27 >>>
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28 >>> sorted(g) == [
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29 ... (URIRef(u'http://meetings.example.com/cal#m1'),
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30 ... URIRef(u'http://www.example.org/meeting_organization#homePage'),
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31 ... URIRef(u'http://meetings.example.com/m1/hp')),
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32 ... (URIRef(u'http://www.example.org/people#fred'),
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33 ... URIRef(u'http://www.example.org/meeting_organization#attending'),
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34 ... URIRef(u'http://meetings.example.com/cal#m1')),
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35 ... (URIRef(u'http://www.example.org/people#fred'),
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36 ... URIRef(u'http://www.example.org/personal_details#GivenName'),
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37 ... Literal(u'Fred')),
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38 ... (URIRef(u'http://www.example.org/people#fred'),
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39 ... URIRef(u'http://www.example.org/personal_details#hasEmail'),
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40 ... URIRef(u'mailto:fred@example.com'))
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41 ... ]
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42 True
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43
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44 """
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45 __docformat__ = "restructuredtext en"
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46
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47 # The format of the __version__ line is matched by a regex in setup.py
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48 __version__ = "4.2.2"
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49 __date__ = "2017/01/29"
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50
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51 __all__ = [
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52 'URIRef',
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53 'BNode',
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54 'Literal',
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55 'Variable',
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56
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57 'Namespace',
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58
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59 'Dataset',
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60 'Graph',
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61 'ConjunctiveGraph',
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62
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63 'RDF',
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64 'RDFS',
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65 'OWL',
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66 'XSD',
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67
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68 'util',
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69 ]
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70
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71 import sys
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72 assert sys.version_info >= (2, 5, 0), "rdflib requires Python 2.5 or higher"
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73
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74 import logging
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75 _interactive_mode = False
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76 try:
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77 import __main__
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78 if not hasattr(__main__, '__file__') and sys.stdout.isatty():
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79 # show log messages in interactive mode
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80 _interactive_mode = True
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81 logging.basicConfig(level=logging.INFO)
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82 del __main__
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83 except ImportError:
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84 #Main already imported from elsewhere
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85 import warnings
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86 warnings.warn('__main__ already imported', ImportWarning)
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87 del warnings
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88
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89 logger = logging.getLogger(__name__)
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90 if _interactive_mode:
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91 logger.info("RDFLib Version: %s" % __version__)
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92 else:
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93 logger.debug("RDFLib Version: %s" % __version__)
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94 del _interactive_mode
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95 del sys
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96
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97
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98 try:
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99 chr(0x10FFFF)
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100 except ValueError:
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101 import warnings
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102 warnings.warn(
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103 'You are using a narrow Python build!\n'
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104 'This means that your Python does not properly support chars > 16bit.\n'
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105 'On your system chars like c=u"\\U0010FFFF" will have a len(c)==2.\n'
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106 'As this can cause hard to debug problems with string processing\n'
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107 '(slicing, regexp, ...) later on, we strongly advise to use a wide\n'
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108 'Python build in production systems.',
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109 ImportWarning)
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110 del warnings
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111
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112
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113 NORMALIZE_LITERALS = True
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114 """
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115 If True - Literals lexical forms are normalized when created.
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116 I.e. the lexical forms is parsed according to data-type, then the
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117 stored lexical form is the re-serialized value that was parsed.
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118
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119 Illegal values for a datatype are simply kept. The normalized keyword
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120 for Literal.__new__ can override this.
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121
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122 For example:
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123
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124 >>> from rdflib import Literal,XSD
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125 >>> Literal("01", datatype=XSD.int)
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126 rdflib.term.Literal(u'1', datatype=rdflib.term.URIRef(u'http://www.w3.org/2001/XMLSchema#integer'))
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127
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128 This flag may be changed at any time, but will only affect literals
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129 created after that time, previously created literals will remain
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130 (un)normalized.
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131
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132 """
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133
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134
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135 DAWG_LITERAL_COLLATION = False
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136 """
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137 DAWG_LITERAL_COLLATION determines how literals are ordered or compared
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138 to each other.
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139
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140 In SPARQL, applying the >,<,>=,<= operators to literals of
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141 incompatible data-types is an error, i.e:
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142
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143 Literal(2)>Literal('cake') is neither true nor false, but an error.
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144
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145 This is a problem in PY3, where lists of Literals of incompatible
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146 types can no longer be sorted.
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147
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148 Setting this flag to True gives you strict DAWG/SPARQL compliance,
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149 setting it to False will order Literals with incompatible datatypes by
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150 datatype URI
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151
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152 In particular, this determines how the rich comparison operators for
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153 Literal work, eq, __neq__, __lt__, etc.
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154 """
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155
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156 from rdflib.term import (
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157 URIRef, BNode, Literal, Variable)
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158
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159 from rdflib.namespace import Namespace
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160
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161 from rdflib.graph import Dataset, Graph, ConjunctiveGraph
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162
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163 from rdflib.namespace import RDF, RDFS, OWL, XSD
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164
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165 from rdflib import plugin
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166 from rdflib import query
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167 # tedious sop to flake8
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168 assert plugin
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169 assert query
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170
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171 from rdflib import util