cached .venv files suppression

Author: Lastrophysicien

.gitignore

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+#!/home/clif_lastrophysicien/ELO2_LAPERLE_HT/.venv/bin/python3
+#
+# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
+# Copyright (c) 2008-2016 California Institute of Technology.
+# Copyright (c) 2016-2025 The Uncertainty Quantification Foundation.
+# License: 3-clause BSD.  The full license text is available at:
+#  - https://github.com/uqfoundation/dill/blob/master/LICENSE
+'''
+build profile graph for the given instance
+
+running:
+  $ get_gprof <args> <instance>
+
+executes:
+  gprof2dot -f pstats <args> <type>.prof | dot -Tpng -o <type>.call.png
+
+where:
+  <args> are arguments for gprof2dot, such as "-n 5 -e 5"
+  <instance> is code to create the instance to profile
+  <type> is the class of the instance (i.e. type(instance))
+
+For example:
+  $ get_gprof -n 5 -e 1 "import numpy; numpy.array([1,2])"
+
+will create 'ndarray.call.png' with the profile graph for numpy.array([1,2]),
+where '-n 5' eliminates nodes below 5% threshold, similarly '-e 1' eliminates
+edges below 1% threshold
+'''
+
+if __name__ == "__main__":
+    import sys
+    if len(sys.argv) < 2:
+        print ("Please provide an object instance (e.g. 'import math; math.pi')")
+        sys.exit()
+    # grab args for gprof2dot
+    args = sys.argv[1:-1]
+    args = ' '.join(args)
+    # last arg builds the object
+    obj = sys.argv[-1]
+    obj = obj.split(';')
+    # multi-line prep for generating an instance
+    for line in obj[:-1]:
+        exec(line)
+    # one-line generation of an instance
+    try:
+        obj = eval(obj[-1])
+    except Exception:
+        print ("Error processing object instance")
+        sys.exit()
+
+    # get object 'name'
+    objtype = type(obj)
+    name = getattr(objtype, '__name__', getattr(objtype, '__class__', objtype))
+
+    # profile dumping an object
+    import dill
+    import os
+    import cProfile
+    #name = os.path.splitext(os.path.basename(__file__))[0]
+    cProfile.run("dill.dumps(obj)", filename="%s.prof" % name)
+    msg = "gprof2dot -f pstats %s %s.prof | dot -Tpng -o %s.call.png" % (args, name, name)
+    try:
+        res = os.system(msg)
+    except Exception:
+        print ("Please verify install of 'gprof2dot' to view profile graphs")
+    if res:
+        print ("Please verify install of 'gprof2dot' to view profile graphs")
+
+    # get stats
+    f_prof = "%s.prof" % name
+    import pstats
+    stats = pstats.Stats(f_prof, stream=sys.stdout)
+    stats.strip_dirs().sort_stats('cumtime')
+    stats.print_stats(20) #XXX: save to file instead of print top 20?
+    os.remove(f_prof)

.venv/bin/get_gprof

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+#!/home/clif_lastrophysicien/ELO2_LAPERLE_HT/.venv/bin/python3
+#
+# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
+# Copyright (c) 2008-2016 California Institute of Technology.
+# Copyright (c) 2016-2025 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

.venv/bin/get_objgraph

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+#!/home/clif_lastrophysicien/ELO2_LAPERLE_HT/.venv/bin/python3
+import sys
+from isort.main import main
+if __name__ == '__main__':
+    if sys.argv[0].endswith('.exe'):
+        sys.argv[0] = sys.argv[0][:-4]
+    sys.exit(main())

.venv/bin/isort

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+#!/home/clif_lastrophysicien/ELO2_LAPERLE_HT/.venv/bin/python3
+import sys
+from isort.main import identify_imports_main
+if __name__ == '__main__':
+    if sys.argv[0].endswith('.exe'):
+        sys.argv[0] = sys.argv[0][:-4]
+    sys.exit(identify_imports_main())

.venv/bin/isort-identify-imports

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+#!/home/clif_lastrophysicien/ELO2_LAPERLE_HT/.venv/bin/python3
+import sys
+from pylint import run_pylint
+if __name__ == '__main__':
+    if sys.argv[0].endswith('.exe'):
+        sys.argv[0] = sys.argv[0][:-4]
+    sys.exit(run_pylint())

.venv/bin/pylint

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+#!/home/clif_lastrophysicien/ELO2_LAPERLE_HT/.venv/bin/python3
+import sys
+from pylint import _run_pylint_config
+if __name__ == '__main__':
+    if sys.argv[0].endswith('.exe'):
+        sys.argv[0] = sys.argv[0][:-4]
+    sys.exit(_run_pylint_config())

.venv/bin/pylint-config

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+#!/home/clif_lastrophysicien/ELO2_LAPERLE_HT/.venv/bin/python3
+import sys
+from pylint import run_pyreverse
+if __name__ == '__main__':
+    if sys.argv[0].endswith('.exe'):
+        sys.argv[0] = sys.argv[0][:-4]
+    sys.exit(run_pyreverse())

.venv/bin/pyreverse

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+#!/home/clif_lastrophysicien/ELO2_LAPERLE_HT/.venv/bin/python3
+import sys
+from pylint import run_symilar
+if __name__ == '__main__':
+    if sys.argv[0].endswith('.exe'):
+        sys.argv[0] = sys.argv[0][:-4]
+    sys.exit(run_symilar())

.venv/bin/symilar

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+#!/home/clif_lastrophysicien/ELO2_LAPERLE_HT/.venv/bin/python3
+#
+# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
+# Copyright (c) 2008-2016 California Institute of Technology.
+# Copyright (c) 2016-2025 The Uncertainty Quantification Foundation.
+# License: 3-clause BSD.  The full license text is available at:
+#  - https://github.com/uqfoundation/dill/blob/master/LICENSE
+"""
+unpickle the contents of a pickled object file
+
+Examples::
+
+    $ undill hello.pkl
+    ['hello', 'world']
+"""
+
+if __name__ == '__main__':
+    import sys
+    import dill
+    for file in sys.argv[1:]:
+        print (dill.load(open(file,'rb')))
+