diff env/lib/python3.7/site-packages/rdflib/__init__.py @ 5:9b1c78e6ba9c draft default tip

"planemo upload commit 6c0a8142489327ece472c84e558c47da711a9142"
author shellac
date Mon, 01 Jun 2020 08:59:25 -0400
parents 79f47841a781
children
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--- a/env/lib/python3.7/site-packages/rdflib/__init__.py	Thu May 14 16:47:39 2020 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,171 +0,0 @@
-"""A pure Python package providing the core RDF constructs.
-
-The packages is intended to provide the core RDF types and interfaces
-for working with RDF. The package defines a plugin interface for
-parsers, stores, and serializers that other packages can use to
-implement parsers, stores, and serializers that will plug into the
-rdflib package.
-
-The primary interface `rdflib` exposes to work with RDF is
-`rdflib.graph.Graph`.
-
-A tiny example:
-
-    >>> from rdflib import Graph, URIRef, Literal
-
-    >>> g = Graph()
-    >>> result = g.parse("http://www.w3.org/2000/10/swap/test/meet/blue.rdf")
-
-    >>> print("graph has %s statements." % len(g))
-    graph has 4 statements.
-    >>>
-    >>> for s, p, o in g:
-    ...     if (s, p, o) not in g:
-    ...         raise Exception("It better be!")
-
-    >>> s = g.serialize(format='nt')
-    >>>
-    >>> sorted(g) == [
-    ...  (URIRef(u'http://meetings.example.com/cal#m1'),
-    ...   URIRef(u'http://www.example.org/meeting_organization#homePage'),
-    ...   URIRef(u'http://meetings.example.com/m1/hp')),
-    ...  (URIRef(u'http://www.example.org/people#fred'),
-    ...   URIRef(u'http://www.example.org/meeting_organization#attending'),
-    ...   URIRef(u'http://meetings.example.com/cal#m1')),
-    ...  (URIRef(u'http://www.example.org/people#fred'),
-    ...   URIRef(u'http://www.example.org/personal_details#GivenName'),
-    ...   Literal(u'Fred')),
-    ...  (URIRef(u'http://www.example.org/people#fred'),
-    ...   URIRef(u'http://www.example.org/personal_details#hasEmail'),
-    ...   URIRef(u'mailto:fred@example.com'))
-    ... ]
-    True
-
-"""
-__docformat__ = "restructuredtext en"
-
-# The format of the __version__ line is matched by a regex in setup.py
-__version__ = "4.2.2"
-__date__ = "2017/01/29"
-
-__all__ = [
-    'URIRef',
-    'BNode',
-    'Literal',
-    'Variable',
-
-    'Namespace',
-
-    'Dataset',
-    'Graph',
-    'ConjunctiveGraph',
-
-    'RDF',
-    'RDFS',
-    'OWL',
-    'XSD',
-
-    'util',
-]
-
-import sys
-assert sys.version_info >= (2, 5, 0), "rdflib requires Python 2.5 or higher"
-
-import logging
-_interactive_mode = False
-try:
-    import __main__
-    if not hasattr(__main__, '__file__') and sys.stdout.isatty():
-        # show log messages in interactive mode
-        _interactive_mode = True
-        logging.basicConfig(level=logging.INFO)
-    del __main__
-except ImportError:
-    #Main already imported from elsewhere
-    import warnings
-    warnings.warn('__main__ already imported', ImportWarning)
-    del warnings
-
-logger = logging.getLogger(__name__)
-if _interactive_mode:
-    logger.info("RDFLib Version: %s" % __version__)
-else:
-    logger.debug("RDFLib Version: %s" % __version__)
-del _interactive_mode
-del sys
-
-
-try:
-    chr(0x10FFFF)
-except ValueError:
-    import warnings
-    warnings.warn(
-        'You are using a narrow Python build!\n'
-        'This means that your Python does not properly support chars > 16bit.\n'
-        'On your system chars like c=u"\\U0010FFFF" will have a len(c)==2.\n'
-        'As this can cause hard to debug problems with string processing\n'
-        '(slicing, regexp, ...) later on, we strongly advise to use a wide\n'
-        'Python build in production systems.',
-        ImportWarning)
-    del warnings
-
-
-NORMALIZE_LITERALS = True
-"""
-If True - Literals lexical forms are normalized when created.
-I.e. the lexical forms is parsed according to data-type, then the
-stored lexical form is the re-serialized value that was parsed.
-
-Illegal values for a datatype are simply kept.  The normalized keyword
-for Literal.__new__ can override this.
-
-For example:
-
->>> from rdflib import Literal,XSD
->>> Literal("01", datatype=XSD.int)
-rdflib.term.Literal(u'1', datatype=rdflib.term.URIRef(u'http://www.w3.org/2001/XMLSchema#integer'))
-
-This flag may be changed at any time, but will only affect literals
-created after that time, previously created literals will remain
-(un)normalized.
-
-"""
-
-
-DAWG_LITERAL_COLLATION = False
-"""
-DAWG_LITERAL_COLLATION determines how literals are ordered or compared
-to each other.
-
-In SPARQL, applying the >,<,>=,<= operators to literals of
-incompatible data-types is an error, i.e:
-
-Literal(2)>Literal('cake') is neither true nor false, but an error.
-
-This is a problem in PY3, where lists of Literals of incompatible
-types can no longer be sorted.
-
-Setting this flag to True gives you strict DAWG/SPARQL compliance,
-setting it to False will order Literals with incompatible datatypes by
-datatype URI
-
-In particular, this determines how the rich comparison operators for
-Literal work, eq, __neq__, __lt__, etc.
-"""
-
-from rdflib.term import (
-    URIRef, BNode, Literal, Variable)
-
-from rdflib.namespace import Namespace
-
-from rdflib.graph import Dataset, Graph, ConjunctiveGraph
-
-from rdflib.namespace import RDF, RDFS, OWL, XSD
-
-from rdflib import plugin
-from rdflib import query
-# tedious sop to flake8
-assert plugin
-assert query
-
-from rdflib import util