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h» é L ASÿ%Ù hÚ éæÿÿÿ < ImportError SFC64 TypeError ValueError __all__ bit_generator __class__ cline_in_traceback empty format generate_state get __getstate__ has_uint32 __import__ __main__ __name__ np numpy.core.multiarray failed to import numpy.core.umath failed to import __pyx_vtable__ __reduce__ __reduce_ex__ seed self._bitgen cannot be converted to a Python object for pickling __setstate__ state must be a dict state must be for a {0} RNG __test__ uint64 uinteger __reduce_cython__ __setstate_cython__ state __init__ numpy dtype _sfc64 name loader __loader__ origin __file__ parent __package__ submodule_search_locations __path__ Interpreter change detected - this module can only be loaded into one interpreter per process. Module '_sfc64' has already been imported. Re-initialisation is not supported. builtins cython_runtime __builtins__ numpy.random._sfc64 init numpy.random._sfc64 %d.%d %s compiletime version %s of module '%.100s' does not match runtime version %s _sfc64.pyx stringsource name '%U' is not defined numpy.random.bit_generator BitGenerator %.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 numpy.random._sfc64.SFC64
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>`_
numpy.random._sfc64.SFC64.__reduce_cython__ while calling a Python object NULL result without error in PyObject_Call calling %R should have returned an instance of BaseException, not %R raise: exception class must be a subclass of BaseException numpy.random._sfc64.SFC64.__setstate_cython__
Get or set the PRNG state
Returns
-------
state : dict
Dictionary containing the information required to describe the
state of the PRNG
numpy.random._sfc64.SFC64.state.__get__ __del__ numpy.random._sfc64.SFC64.state.__set__ '%.200s' object does not support slice %.10s assignment value too large to convert to int int an integer is required __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) value too large to convert to uint32_t can't convert negative value to uint32_t numpy.random._sfc64.SFC64.__init__ %.200s() keywords must be strings %s() got an unexpected keyword argument '%U' %s() got multiple values for keyword argument '%U' at least at most %.200s() takes %.8s %zd positional argument%.1s (%zd given) s Missing type object Cannot convert %.200s to %.200s Unable to initialize pickling for %s type flatiter broadcast ndarray generic number integer signedinteger unsignedinteger inexact floating complexfloating flexible character ufunc SeedSequence SeedlessSequence invalid vtable found for imported type numpy.random._common POISSON_LAM_MAX double LEGACY_POISSON_LAM_MAX MAXSIZE uint64_t __pyx_capi__ %.200s does not export expected C variable %.200s C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s) %s (%s:%d) numpy/random/_sfc64.c , , ÑX ! D D f D \ À p! P" À. ð. Ð/ À0 °1 àH J ÐL O P °Q 0S T °U a èg òg üg h h h $h .h 8h Bh Lh Vh `h jh th ~h h h h ¦h °h ºh Äh Îh Øh âh ìh öh i
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