cpython/Doc/library/pickletools.rst

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:mod:`pickletools` --- Tools for pickle developers
==================================================
.. module:: pickletools
:synopsis: Contains extensive comments about the pickle protocols and
pickle-machine opcodes, as well as some useful functions.
This module contains various constants relating to the intimate details of the
:mod:`pickle` module, some lengthy comments about the implementation, and a
few useful functions for analyzing pickled data. The contents of this module
are useful for Python core developers who are working on the :mod:`pickle`;
ordinary users of the :mod:`pickle` module probably won't find the
:mod:`pickletools` module relevant.
.. function:: dis(pickle, out=None, memo=None, indentlevel=4, annotate=0)
Outputs a symbolic disassembly of the pickle to the file-like
object *out*, defaulting to ``sys.stdout``. *pickle* can be a
string or a file-like object. *memo* can be a Python dictionary
that will be used as the pickle's memo; it can be used to perform
disassemblies across multiple pickles created by the same
pickler. Successive levels, indicated by ``MARK`` opcodes in the
stream, are indented by *indentlevel* spaces. If a nonzero value
is given to *annotate*, each opcode in the output is annotated with
a short description. The value of *annotate* is used as a hint for
the column where annotation should start.
.. versionadded:: 3.2
The *annotate* argument.
.. function:: genops(pickle)
Provides an :term:`iterator` over all of the opcodes in a pickle, returning a
sequence of ``(opcode, arg, pos)`` triples. *opcode* is an instance of an
:class:`OpcodeInfo` class; *arg* is the decoded value, as a Python object, of
the opcode's argument; *pos* is the position at which this opcode is located.
*pickle* can be a string or a file-like object.
.. function:: optimize(picklestring)
Returns a new equivalent pickle string after eliminating unused ``PUT``
opcodes. The optimized pickle is shorter, takes less transmission time,
requires less storage space, and unpickles more efficiently.