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Classification in parallel using MPI
====================================

The ``classify_in_mpi_parallel`` module defines functions that
use MPI to save Cayley graph classifications or partial classifications in parallel.

AUTHORS:

- Paul Leopardi (2017-10-13)

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    Using MPI, construct and save a number of Cayley graph classifications
    corresponding to a list of bent functions.

    INPUT:

    - ``comm`` -- MPI communicator.
    - ``name_prefix`` -- String. Name prefix to use with ``save_mangled`` to save each classification.
    - ``list_of_f`` -- List of forms or bent functions.
    - ``start`` -- Integer. Default=0. Index of start position in the list.
    - ``stop`` -- Integer. Default=None. Index after end position, or ``None`` if whole remaining list.
    - ``directory`` -- string, optional. The directory where the object
      is to be saved. Default is None, meaning the current directory.

    OUTPUT: None.

    EFFECT: Uses ``name`` to save the classifications corresponding to ``list_of_f``.
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    Using MPI, construct a complete list of the partial Cayley graph classifications
    corresponding to a given bent function or algebraic normal form.

    INPUT:

    - ``comm`` -- MPI communicator.
    - ``name_prefix`` -- String. Name prefix to use with ``save_mangled`` to save each class part.
    - ``form`` -- A bent function or an algebraic normal form.
    - ``c_len`` -- Integer. Default=1. The number of values of `c` to use in each class part.
    - ``directory`` -- string, optional. The directory where the object
      is to be saved. Default is None, meaning the current directory.

    OUTPUT: None.

    EFFECT: Uses ``name_prefix`` to save all partial classifications corresponding to ``bentf``.
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