89 lines
2.9 KiB
Python
Executable File
89 lines
2.9 KiB
Python
Executable File
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# Copyright 2014 California Institute of Technology. ALL RIGHTS RESERVED.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# United States Government Sponsorship acknowledged. This software is subject to
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# U.S. export control laws and regulations and has been classified as 'EAR99 NLR'
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# (No [Export] License Required except when exporting to an embargoed country,
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# end user, or in support of a prohibited end use). By downloading this software,
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# the user agrees to comply with all applicable U.S. export laws and regulations.
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# The user has the responsibility to obtain export licenses, or other export
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# authority as may be required before exporting this software to any 'EAR99'
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# embargoed foreign country or citizen of those countries.
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#
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# Author: Eric Belz
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#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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"""eRdf Experimental RDF stuff- no warranty"""
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## \namespace rdf.eRDF __e__ xperimental RDF objects
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## A generic base class for RDF wrapped data structures -clients should
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## use this when they have an object with RDF dependency injection and then
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## further behavior as defined by the sub-classes methods.
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class RDFWrapper(object):
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"""RDFWrapper(rdf instance):
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is a base class for classes that wrap rdf instances.
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"""
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## Initialized with an RDF instance
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## \param rdf_ a bonafide rdf.data.files.RDF object
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def __init__(self, rdf_):
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## The wrapped rdf
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self._rdf = rdf_
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return None
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## self.rdf == self.rdf() == self._rdf
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@property
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def rdf(self):
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return self._rdf
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## Access rdf dictionary
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def __getitem__(self, key):
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return self._rdf.__getitem__(self, key)
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## Access rdf dictionary
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def __setitem__(self, key, field):
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return self._rdf.__setitem__(self, key, field)
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## Access rdf dictionary
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def __delitem__(self, key):
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return self._rdf.__delitem__(self, key)
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## Access rdf dictionary
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def __len__(self, key):
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return len(self._rdf)
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## Experimental function to factor keys and rdf.
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def factor(rdf_):
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_k = rdf_.keys()
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_k.sort()
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k = _k[:]
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longest = max(map(len, k))
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import numpy as np
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m = np.zeros( (len(k), 27 ), dtype=int )
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for jdx, key in enumerate(k):
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for idx, cc in enumerate(key):
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m[jdx, idx] = ord(cc)
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base = [2**__ for __ in map(long, range(len(m[0])))]
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