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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__pyx_capi__%.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)intan integer is requiredvalue too large to convert to intvalue too large to convert to uint32_tcan't convert negative value to uint32_tname '%U' is not definednumpy/random/_sfc64.cpython-312-aarch64-linux-gnu.so.p/numpy/random/_sfc64.pyx.c%s (%s:%d) while calling a Python objectNULL result without error in PyObject_Call_sfc64.pyxnumpy.random._sfc64.SFC64.state.__get__Module '_sfc64' has already been imported. Re-initialisation is not supported.builtinscython_runtime__builtins__does not matchnumpy.random._sfc64compile time Python version %d.%d of module '%.100s' %s runtime version %d.%dnumpy.core._multiarray_umath_ARRAY_API_ARRAY_API is not PyCapsule object_ARRAY_API is NULL pointermodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule 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 .FATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimenumpy.random.bit_generatorBitGeneratorbase class '%.200s' is not a heap typeextension 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 typemultiple bases have vtable conflict: '%.200s' and '%.200s'Unable to initialize pickling for %.200stypenumpydtypeflatiterbroadcastndarraygenericnumbersignedintegerunsignedintegerinexactfloatingcomplexfloatingflexiblecharacterufuncSeedSequenceSeedlessSequencedoublePOISSON_LAM_MAXLEGACY_POISSON_LAM_MAXuint64_tMAXSIZEinit numpy.random._sfc64numpy.random._commonnumpy.core.multiarray failed to import (auto-generated because you didn't call 'numpy.import_array()' after cimporting numpy; use 'numpy._import_array' to disable if you are certain you don't need it).instance exception may not have a separate valuecalling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptionexactly__reduce_cython__%.200s() takes %.8s %zd positional argument%.1s (%zd given)%.200s() keywords must be strings%s() got an unexpected keyword argument '%U'numpy.random._sfc64.SFC64.__reduce_cython__assignment'%.200s' object does not support slice %.10snumpy.random._sfc64.SFC64.state.__set____del__%s() got multiple values for keyword argument '%U'at mostat least__init__numpy.random._sfc64.SFC64.__init__Missing type objectCannot convert %.200s to %.200snumpy.random._sfc64.SFC64.__setstate_cython____setstate_cython__state 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 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" `_ .. [2] `"Random Invertible Mapping Statistics" `_ _sfc64@ImportErrorSFC64TypeErrorValueError*?__all__bit_generator__class__cline_in_tracebackdisabledtypeemptyenableformatgcgenerate_stateget__getstate__has_uint32__import____init___initializingisenabled__main____name__npnumpynumpy.core.multiarray failed to importnumpy.core.umath failed to import__pyx_state__pyx_vtable____reduce____reduce_cython____reduce_ex__seedself._bitgen cannot be converted to a Python object for pickling__setstate____setstate_cython____spec__statestate must be a dictstate must be for a {0} RNG__test__uint64uinteger;H(l$P@ԑ8 `t\ 8,\<0Tx|<T0@< hP<lp p ,4 x l zRx 0,< @̣HA BNd |LC-AMA-(|A-AH A-A QA- p`A-AFA- @D-AGA- ȤA-A\ A-A (88<A-AH A-A AA- d؂0A-AHA-$$@A-A BJA-4<C-AF A-B A A-B VA- C-AG A-B ( $4A-AE A-B AA-484A-A0D0DA-,pA-A0BBfA-,4A-A0BB_A-$A-B C\A-4XA-ACBBCHA-(0<A-A BK A-A 4\,A-A@CEA-0A-A BP A-A R A-A @$A-A BQ A-A a A-A I A-A 4 A-A BS A-A [ A-A 4DA-A] A-A W A-B A A-A P|d`J-A@BG A-A KR A B A CM A L A AA$dA-A CRA-THA-A@CO A-A LRNBDCM A L A AAPA-AB B C HA}BlA-A -lAAmAM A-A E A-A BdADa AA G AA A BA DA-AP BDH EA-A W EA-A VSA-AP -g B fAD