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