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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: <module 'dill.tests' from '.../dill/tests/__init__.py'>
    ├┬ F2: <function _import_module at 0x7f0d2dce1b80>
    │└ # F2 [32 B]
    ├┬ D2: <dict object at 0x7f0d2e98a540>
    │├┬ T4: <class '_frozen_importlib.ModuleSpec'>
    ││└ # T4 [35 B]
    │├┬ D2: <dict object at 0x7f0d2ef0e8c0>
    ││├┬ T4: <class '_frozen_importlib_external.SourceFileLoader'>
    │││└ # T4 [50 B]
    ││├┬ D2: <dict object at 0x7f0d2e988a40>
    │││└ # D2 [84 B]
    ││└ # D2 [413 B]
    │└ # D2 [763 B]
    └ # M1 [813 B]
)�adapter�logger�trace�N)�partial)�TextIO�Union�|�+�`)�│u├�┬�└c�6�eZdZdZd�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.

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;��)�)�)�4�4�s�:��%��|�F�8���6�6�"�"�	[������a�0�0�1�1�R�7�E��;�%��(�*�D�*�d�E�4Y�G�E�N�S�4H�4H�WY�-Z�Z�F�8���V�����F�#�#�#��w�w�~�~�f�%�%�%r)rGrHrIrJrrj�
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j��dS)u}print a trace through the stack when pickling; useful for debugging

    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: <dict object at 0x7f2721804800>
        ├┬ D2: <dict object at 0x7f27217f5c40>
        │└ # 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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