golden hour

/opt/cloudlinux/venv/bin

File/Folder	Size	Actions
Activate.ps1	8.82 KB
activate	1.65 KB
activate.csh	915 B
activate.fish	2.14 KB
alembic	202 B
cagefs_enter_site.py	1.83 KB
cagefsctl_user.py	14.41 KB
chardetect	210 B
cl_sysctl	4.51 KB
clcpapi	3.64 KB
coverage	204 B
coverage-3.11	204 B
coverage3	204 B
cpanel-dbmapping	3.83 KB
crontab-user-wrapper.py	2.46 KB
da_suid_caller.py	686 B
detect-requirements	211 B
dodgy	197 B
epylint	208 B
f2py	205 B
f2py3	205 B
f2py3.11	205 B
flake8	203 B
futurize	204 B
get_gprof	1.84 KB
get_objgraph	1.63 KB
isort	198 B
isort-identify-imports	232 B
jsonschema	202 B
lvestats_config_reader.py	1.12 KB
mako-render	202 B
normalizer	233 B
pasteurize	206 B
pip	237 B
pip3	237 B
pip3.11	237 B
plesk_suid_caller.py	905 B
prospector	202 B
py.test	210 B
pycodestyle	201 B
pydocstyle	202 B
pyflakes	200 B
pylint	206 B
pylint-config	222 B
pyreverse	212 B
pysemver	198 B
pytest	210 B
python	6.98 KB
python3	6.98 KB
python3.11	6.98 KB
raven	208 B
symilar	208 B
tap	196 B
tappy	196 B
undill	603 B
virtualenv	227 B

Edit: 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