/opt/cloudlinux/venv/lib/python3.11/site-packages/dill/__pycache__
Edit: /opt/cloudlinux/venv/lib/python3.11/site-packages/dill/__pycache__/logger.cpython-311.pyc (13363B)
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Logging utilities for dill.
The 'logger' object is dill's top-level logger.
The 'adapter' object wraps the logger and implements a 'trace()' method that
generates a detailed tree-style trace for the pickling call at log level INFO.
The 'trace()' function sets and resets dill's logger log level, enabling and
disabling the pickling trace.
The trace shows a tree structure depicting the depth of each object serialized
*with dill save functions*, but not the ones that use save functions from
'pickle._Pickler.dispatch'. If the information is available, it also displays
the size in bytes that the object contributed to the pickle stream (including
its child objects). Sample trace output:
>>> import dill, dill.tests
>>> dill.detect.trace(True)
>>> dill.dump_session(main=dill.tests)
┬ M1:
├┬ F2:
│└ # F2 [32 B]
├┬ D2:
│├┬ T4:
││└ # T4 [35 B]
│├┬ D2:
││├┬ T4:
│││└ # T4 [50 B]
││├┬ D2:
│││└ # D2 [84 B]
││└ # D2 [413 B]
│└ # D2 [763 B]
└ # M1 [813 B]
)adapterloggertrace N)partial)TextIOUnion|+`) │u ├ ┬ └c 6 e Zd ZdZd Zd Zd Zd Zd Zd Z dS ) TraceAdaptera
Tracks object tree depth and calculates pickled object size.
A single instance of this wraps the module's logger, as the logging API
doesn't allow setting it directly with a custom Logger subclass. The added
'trace()' method receives a pickle instance as the first argument and
creates extra values to be added in the LogRecord from it, then calls
'info()'.
Usage of logger with 'trace()' method:
>>> from dill.logger import adapter as logger #NOTE: not dill.logger.logger
>>> ...
>>> def save_atype(pickler, obj):
>>> logger.trace(pickler, "Message with %s and %r etc. placeholders", 'text', obj)
>>> ...
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Generates message prefix and suffix from record.
This Formatter adds prefix and suffix strings to the log message in trace
mode (an also provides empty string defaults for normal logs).
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With a single boolean argument, enable or disable the tracing.
Example usage:
>>> import dill
>>> dill.detect.trace(True)
>>> dill.dump_session()
Alternatively, ``trace()`` can be used as a context manager. With no
arguments, it just takes care of restoring the tracing state on exit.
Either a file handle, or a file name and (optionally) a file mode may be
specitfied to redirect the tracing output in the ``with`` block context. A
log function is yielded by the manager so the user can write extra
information to the file.
Example usage:
>>> from dill import detect
>>> D = {'a': 42, 'b': {'x': None}}
>>> with detect.trace():
>>> dumps(D)
┬ D2:
├┬ D2:
│└ # D2 [8 B]
└ # D2 [22 B]
>>> squared = lambda x: x**2
>>> with detect.trace('output.txt', mode='w') as log:
>>> log("> D = %r", D)
>>> dumps(D)
>>> log("> squared = %r", squared)
>>> dumps(squared)
Arguments:
arg: a boolean value, or an optional file-like or path-like object for the context manager
mode: mode string for ``open()`` if a file name is passed as the first argument
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