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@n§‡_m__cxa_finalize__cxa_atexit__register_atforkPyInit__sfc64PyModuleDef_InitPyThreadState_GetPyInterpreterState_GetIDPyExc_ImportErrorPyErr_SetStringPyObject_GetAttrStringPyModule_NewObject_Py_DeallocPyModule_GetDictPyDict_SetItemString_Py_NoneStructPyExc_AttributeErrorPyErr_ExceptionMatchesPyErr_ClearPyExc_RuntimeErrorPyImport_AddModulePyObject_SetAttrStringPy_VersionPyOS_snprintfPyErr_WarnExPyTuple_NewPyBytes_FromStringAndSizePyUnicode_FromStringAndSizePyUnicode_InternFromStringPyUnicode_DecodePyObject_HashPyLong_FromLongPyImport_ImportModulePyCapsule_TypePyCapsule_GetPointerPyErr_FormatPyErr_OccurredPyObject_SetAttrPyImport_GetModuleDictPyDict_GetItemStringPyObject_GenericGetAttr_PyObject_GenericGetAttrWithDictPyDict_SetItemPyList_NewPyDict_NewPyExc_NameErrorPyObject_GetAttrPyTuple_PackPySlice_NewPyGC_DisablePyType_ReadyPyGC_EnablePyCapsule_NewmallocPyObject_GetItemPyExc_TypeErrorfree_PyType_LookupPyBaseObject_TypePyDict_DelItemPyType_ModifiedPyImport_GetModule_Py_TrueStruct_Py_FalseStructPyObject_IsTruePyImport_ImportModuleLevelObject_PyThreadState_UncheckedGet_PyObject_GetDictPtr_PyDict_GetItem_KnownHashPyObject_NotPyUnicode_FromFormatPyUnicode_AsUTF8PyCode_NewEmptyPyMem_ReallocPyFrame_NewPyTraceBack_HerePyException_SetTracebackPyMem_MallocPyErr_GivenExceptionMatchesPyExc_ValueErrorPyDict_SizePyMethod_TypePyExc_SystemErrorPyUnicode_TypememcmpPyObject_RichComparePyDict_NextPyObject_IsSubclassPyObject_CallPyErr_SetObjectPyUnicode_ComparePy_EnterRecursiveCallPy_LeaveRecursiveCallPyExc_NotImplementedErrorPyDict_TypePyCFunction_TypePyType_IsSubtypePyVectorcall_FunctionPyObject_VectorcallDictPyDict_GetItemWithErrorPyExc_KeyErrorPyLong_AsLongPyExc_OverflowErrorPyObject_RichCompareBoolPyLong_AsUnsignedLongPyLong_TypePyExc_DeprecationWarningPyErr_WarnFormatPyCapsule_IsValidPyModule_GetNamePyCapsule_GetNamelibc.soLIBClibpython3.12.so°÷°÷¸÷@GÀ÷ Gè<
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húpúxú€úˆúú˜ú ú¨ú°ú¸úÀúÈúÐúØú!àú"èú#ðú$øú%û&û(û)û* û+(û-0û.8û/@û0Hû1Pû2Xû3`û4hû5pû7xû8€û:ˆû;û<˜û? û@¨ûA°ûB¸ûCÀûDÈûEÐûFØûGàûHèûIðûJøûKüLüMüOüS üT(üU0üV8üW@üXHüYPüZXü[`ü_hü`püaxüb€üdˆüfüg˜üj ük¨ül°üm <module compiled against API version 0x%x but this version of numpy is 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 .name '%U' is not definednumpy.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>`_
    exactlyMissing type objectSeedSequencenumpy/random/_sfc64.cpython-312.so.p/numpy/random/_sfc64.pyx.c%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.__%.4s__ returned non-%.4s (type %.200s)ndarraydoes not matchnumpy.core._multiarray_umathflexible_sfc64%.200s() keywords must be stringscomplexfloating_sfc64.pyxmultiple bases have vtable conflict: '%.200s' and '%.200s'integerloader__package__init numpy.random._sfc64<stringsource>at most%.200s() takes %.8s %zd positional argument%.1s (%zd given)floatingLEGACY_POISSON_LAM_MAX_ARRAY_API is NULL pointerassignmentan integer is requiredPOISSON_LAM_MAX%s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectnumpy.random._sfc64.SFC64.state.__get___ARRAY_APIFATAL: module compiled as unknown endiansnumpy.random._sfc64.SFC64.__setstate_cython__SeedlessSequence__file__parentsubmodule_search_locationsnumpy.random._sfc64NULL result without error in PyObject_Call__loader__doublenumpy.random._sfc64.SFC64.state.__set__flatiternumpy.random._sfc64.SFC64.__reduce_cython__Module '_sfc64' has already been imported. Re-initialisation is not supported.intnumberC variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)%s (%s:%d)cython_runtime%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject__path__module compiled against ABI version 0x%x but this version of numpy is 0x%xinvalid vtable found for imported typecharacterufuncBitGeneratorUnable to initialize pickling for %.200sorigincompile time Python version %d.%d of module '%.100s' %s runtime version %d.%dcan't convert negative value to uint32_t_ARRAY_API is not PyCapsule objectinstance exception may not have a separate valueuint64_t%.200s.%.200s is not a type objectcalling %R should have returned an instance of BaseException, not %R'%.200s' object does not support slice %.10snameat leastvalue too large to convert to uint32_tunsignedintegerMAXSIZEbuiltinsextension 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 typetypeFATAL: module compiled as little endian, but detected different endianness at runtimevalue too large to convert to intbroadcast%.200s does not export expected C variable %.200snumpy.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).numpy.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__%s() got an unexpected keyword argument '%U'raise: exception class must be a subclass of BaseException while calling a Python object__del__Cannot convert %.200s to %.200ssignedintegerinexactgeneric__pyx_capi__ImportErrorSFC64TypeErrorValueError*?__all__bit_generator__class__cline_in_tracebackdisableemptyenableformatgcgenerate_stateget__getstate__has_uint32__import___initializingisenabled__main____name__npnumpy.core.multiarray failed to importnumpy.core.umath failed to import__pyx_state__pyx_vtable____reduce____reduce_ex__seedself._bitgen cannot be converted to a Python object for pickling__setstate____spec__state must be a dictstate must be for a {0} RNG__test__uint64uinteger__reduce_cython____setstate_cython__state__init__numpydtype
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