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The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.__int__ returned non-int (type %.200s)Interpreter change detected - this module can only be loaded into one interpreter per process.value too large to convert to int__annotations__ must be set to a dict object__kwdefaults__ must be set to a dict objectchanges to cyfunction.__kwdefaults__ will not currently affect the values used in function calls__defaults__ must be set to a tuple objectchanges to cyfunction.__defaults__ will not currently affect the values used in function calls__qualname__ must be set to a string object__name__ must be set to a string object%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectinstance exception may not have a separate valuecalling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptioninvalid vtable found for imported typeunbound method %.200S() needs an argument%s() got an unexpected keyword argument '%U'can't convert negative value to uint32_tvalue too large to convert to uint32_t%.200s() takes %.8s %zd positional argument%.1s (%zd given)numpy.random._sfc64.SFC64.__setstate_cython__numpy.random._sfc64.SFC64.state.__get__numpy.random._sfc64.SFC64.__init__Cannot convert %.200s to %.200snumpy.random._sfc64.SFC64.__reduce_cython__ while calling a Python objectNULL result without error in PyObject_Callnumpy.random._sfc64.SFC64.state.__set__'%.200s' object does not support slice %.10sModule '_sfc64' has already been imported. Re-initialisation is not supported.compile time Python version %d.%d of module '%.100s' %s runtime version %d.%dFailed to import '%.20s.decompress' - cannot initialise module strings. String compression was configured with the C macro 'CYTHON_COMPRESS_STRINGS=%d'._ARRAY_API is not PyCapsule objectmodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule 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.FATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimebase 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 %.200s%.200s does not export expected C %.8s %.200sC %.8s %.200s.%.200s has wrong signature (expected %.500s, got %.500s)numpy.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)._cython_3_2_4.cython_function_or_method_cython_3_2_4._common_types_metatypeSFC64(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" `_ .. 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