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ÈáÌáÐáÔáØáÜáàáäáèáìáðáôáøáüáââ â!â"â'â(â)â* â+$â,(â-,â.0â/4â08â3<â4@â5Dâ6Hâ7Lâ8Pâ9Tâ<Xâ=\â>`â?dâ@hâAlâCpâEtâFxâG|âH€âI„âJˆâKŒâLâM”âN˜âOœâP âR¤âS¨âT¬âU°âV´âW¸âX¼âYÀâZÄâ[Èâ\Ìâ]Ðâ^Ôâ_Øâ`Üâaàâbäâcèâdìâeðâfôâgøâhüâjãkãnãoãpãqãrãsãt ãu$ãv(ãw,ãx0ãy4ãz8ã|<ã}@ãDã€HãLã‚Pã…TãˆXã‰\ãnumpy.random._sfc64.SFC64exactlyname '%U' is not definedMissing type object__setstate_cython__dtypeSeedSequence__name__ must be set to a string object%s() got multiple values for keyword argument '%U'__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.ndarraydoes not matchnumpy.core._multiarray_umathShared Cython type %.200s has the wrong size, try recompiling%.200s() %sflexible_sfc64Failed to import '%.20s.decompress' - cannot initialise module strings. String compression was configured with the C macro 'CYTHON_COMPRESS_STRINGS=%d'._cython_3_2_6%.200s() keywords must be stringscomplexfloatingSeedlessSeedSequencezlib__qualname__multiple bases have vtable conflict: '%.200s' and '%.200s'integerloader__package__init numpy.random._sfc64<stringsource>__vectorcalloffset__func_doc__dict____annotate__at most%.200s() takes %.8s %zd positional argument%.1s (%zd given)floatingvariablenumpy._core._multiarray_umath_ARRAY_API is NULL pointerassignmentan integer is requiredstatenumpy.random._sfc64.SFC64.state.__get___ARRAY_APIFATAL: module compiled as unknown endian_cython_3_2_6._common_types_metatypesnumpy.random._sfc64.SFC64.__setstate_cython__SeedlessSequencetakes no arguments__weaklistoffset__func_closureneeds an argument__file__parentsubmodule_search_locationsnumpy.random._sfc64%.200s() %s (%zd given)func_dict__reduce_cython__NULL result without error in PyObject_Call__loader__func_name__globals__C %.8s %.200s.%.200s has wrong signature (expected %.500s, got %.500s)__name__numpy.random._sfc64.SFC64.state.__set__flatiter__defaults__changes to cyfunction.__kwdefaults__ will not currently affect the values used in function callsnumpy.random._sfc64.SFC64.__reduce_cython__Module '_sfc64' has already been imported. Re-initialisation is not supported.numbercython_runtimetakes no keyword arguments%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject__init____path__module compiled against ABI version 0x%x but this version of numpy is 0x%xinvalid vtable found for imported typecharacterufuncShared Cython type %.200s is not a type object__code____kwdefaults__ must be set to a dict objectBitGeneratorUnable to initialize pickling for %.200sorigincompile time Python version %d.%d of module '%.100s' %s runtime version %d.%d__int__ returned non-int (type %.200s)can't convert negative value to uint32_t_ARRAY_API is not PyCapsule object_is_coroutineSFC64(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"
            <https://pracrand.sourceforge.net/RNG_engines.txt>`_
    .. [2] `"Random Invertible Mapping Statistics"
            <https://www.pcg-random.org/posts/random-invertible-mapping-statistics.html>`_
    instance exception may not have a separate valuenumpyfunc_globalsfunc_codePlaceholder __annotate__ function to allow 'functools.wraps' to work on Cython functions.cython __annotate__ called without 'self' argument%.200s.%.200s is not a type objectcalling %R should have returned an instance of BaseException, not %R'%.200s' object does not support slice %.10snametakes exactly one argument__reduce____closure____qualname__ must be set to a string objectat leastunsignedinteger%.200s does not export expected C %.8s %.200sbuiltinsnumpy/random/_sfc64.pyxfunc_defaults__defaults__ must be set to a tuple objectextension type '%.200s' has no __dict__ slot, but base type '%.200s' has: either add 'cdef dict __dict__' to the extension type or add '__slots__ = [...]' to the base typetypedecompressFATAL: module compiled as little endian, but detected different endianness at runtimeunbound method %.200S() needs an argument__annotations__ must be set to a dict objectbroadcastnumpy.core.multiarray failed to import (auto-generated because you didn't call 'numpy.import_array()' after cimporting numpy; use '<void>numpy._import_array' to disable if you are certain you don't need it).module was compiled against NumPy C-API version 0x%x (NumPy 1.23) but the running NumPy has C-API version 0x%x. Check the section C-API incompatibility at the Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for indications on how to solve this problem.__doc__changes to cyfunction.__defaults__ will not currently affect the values used in function callsnumpy.random.bit_generator
        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.__init__base class '%.200s' is not a heap typenumpy.random._commonInterpreter change detected - this module can only be loaded into one interpreter per process.__builtins____module__<cyfunction %U at %p>__kwdefaults__%s() got an unexpected keyword argument '%U'raise: exception class must be a subclass of BaseException while calling a Python object__del___cython_3_2_6.cython_function_or_methodBad call flags for CyFunctionCannot convert %.200s to %.200s__annotate__ cannot be deletedsignedintegerinexactkeywords must be strings__annotations__generic__pyx_capi__
	'"@1
	





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