55 lines
1.7 KiB
Plaintext
55 lines
1.7 KiB
Plaintext
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#!/home/zefirka/advanced-python-homework-2023/devenv/bin/python3
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#
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# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
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# Copyright (c) 2008-2016 California Institute of Technology.
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# Copyright (c) 2016-2023 The Uncertainty Quantification Foundation.
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# License: 3-clause BSD. The full license text is available at:
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# - https://github.com/uqfoundation/dill/blob/master/LICENSE
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"""
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display the reference paths for objects in ``dill.types`` or a .pkl file
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Notes:
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the generated image is useful in showing the pointer references in
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objects that are or can be pickled. Any object in ``dill.objects``
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listed in ``dill.load_types(picklable=True, unpicklable=True)`` works.
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Examples::
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$ get_objgraph ArrayType
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Image generated as ArrayType.png
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"""
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import dill as pickle
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#pickle.debug.trace(True)
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#import pickle
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# get all objects for testing
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from dill import load_types
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load_types(pickleable=True,unpickleable=True)
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from dill import objects
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if __name__ == "__main__":
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import sys
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if len(sys.argv) != 2:
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print ("Please provide exactly one file or type name (e.g. 'IntType')")
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msg = "\n"
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for objtype in list(objects.keys())[:40]:
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msg += objtype + ', '
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print (msg + "...")
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else:
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objtype = str(sys.argv[-1])
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try:
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obj = objects[objtype]
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except KeyError:
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obj = pickle.load(open(objtype,'rb'))
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import os
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objtype = os.path.splitext(objtype)[0]
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try:
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import objgraph
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objgraph.show_refs(obj, filename=objtype+'.png')
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except ImportError:
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print ("Please install 'objgraph' to view object graphs")
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# EOF
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