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alkaline-ml / numpy python

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numpy / random / _sfc64.pypy36-pp73-x86_64-linux-gnu.so
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HGÐHHHGHFHGHFHGHFG G$ÃHHHFHGHFHGHFW HGO$ÃHìHÄÃ%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%.200s does not export expected C variable %.200sC variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)__int__ returned non-int (type %.200s).  The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.__%.4s__ returned non-%.4s (type %.200s)can't convert negative value to uint32_tvalue too large to convert to uint32_tcalling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptionnumpy.random._sfc64.SFC64.__reduce_cython__numpy.random._sfc64.SFC64.__setstate_cython__numpy.random._sfc64.SFC64.state.__get__%s() got multiple values for keyword argument '%U'%.200s() keywords must be strings%s() got an unexpected keyword argument '%U'numpy.random._sfc64.SFC64.__init__Cannot convert %.200s to %.200s%.200s() takes %.8s %zd positional argument%.1s (%zd given)value too large to convert to intnumpy.random._sfc64.SFC64.state.__set__compiletime version %s of module '%.100s' does not match runtime version %sUnable to initialize pickling for %sinvalid vtable found for imported type
    SFC64(seed=None)

    BitGenerator for Chris Doty-Humphrey's Small Fast Chaotic PRNG.

    Parameters
    ----------
    seed : {None, int, array_like[ints], SeedSequence}, optional
        A seed to initialize the `BitGenerator`. If None, then fresh,
        unpredictable entropy will be pulled from the OS. If an ``int`` or
        ``array_like[ints]`` is passed, then it will be passed to
        `SeedSequence` to derive the initial `BitGenerator` state. One may also
        pass in a `SeedSequence` instance.

    Notes
    -----
    ``SFC64`` is a 256-bit implementation of Chris Doty-Humphrey's Small Fast
    Chaotic PRNG ([1]_). ``SFC64`` has a few different cycles that one might be
    on, depending on the seed; the expected period will be about
    :math:`2^{255}` ([2]_). ``SFC64`` incorporates a 64-bit counter which means
    that the absolute minimum cycle length is :math:`2^{64}` and that distinct
    seeds will not run into each other for at least :math:`2^{64}` iterations.

    ``SFC64`` provides a capsule containing function pointers that produce
    doubles, and unsigned 32 and 64- bit integers. These are not
    directly consumable in Python and must be consumed by a ``Generator``
    or similar object that supports low-level access.

    **State and Seeding**

    The ``SFC64`` state vector consists of 4 unsigned 64-bit values. The last
    is a 64-bit counter that increments by 1 each iteration.

    The input seed is processed by `SeedSequence` to generate the first
    3 values, then the ``SFC64`` algorithm is iterated a small number of times
    to mix.

    **Compatibility Guarantee**

    ``SFC64`` makes a guarantee that a fixed seed will always produce the same
    random integer stream.

    References
    ----------
    .. [1] `"PractRand"
            <http://pracrand.sourceforge.net/RNG_engines.txt>`_
    .. [2] `"Random Invertible Mapping Statistics"
            <http://www.pcg-random.org/posts/random-invertible-mapping-statistics.html>`_
    
        Get or set the PRNG state

        Returns
        -------
        state : dict
            Dictionary containing the information required to describe the
            state of the PRNG
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