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G@A  ! G@8@ 0@@@A ? 3@@!GT`@T@6`@<Te@@! |* T`@7``(G@!C! |TT3i* 3@TT3!G@3@aC) x* TaC) x* T 0@`@@! ?3@__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.__int__ returned non-int (type %.200s)an integer is requiredvalue too large to convert to int__pyx_capi__C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)%.200s does not export expected C variable %.200sInterpreter change detected - this module can only be loaded into one interpreter per process.name__loader__loader__file__origin__package__parent__path__submodule_search_locationsShared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompilingkeywords must be stringsunbound method %.200S() needs an argument%.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%.200s() keywords must be strings%s() got multiple values for keyword argument '%U'invalid vtable found for imported type%s() got an unexpected keyword argument '%U'__annotations__ must be set to a dict object__qualname__ must be set to a string object__name__ must be set to a string 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 callsvalue too large to convert to uint32_tcan't convert negative value to uint32_tfunction's dictionary may not be deletedsetting function's dictionary to a non-dictinstance exception may not have a separate valuecalling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseException__setstate_cython__exactly%.200s() takes %.8s %zd positional argument%.1s (%zd given)numpy.random._sfc64.SFC64.__setstate_cython__name '%U' is not definednumpy/random/_sfc64.pyxnumpy.random._sfc64.SFC64.state.__get__at mostat least__init__Missing type objectCannot convert %.200s to %.200snumpy.random._sfc64.SFC64.__init____reduce_cython__numpy.random._sfc64.SFC64.__reduce_cython__ while calling a Python objectNULL result without error in PyObject_Callassignment'%.200s' object does not support slice %.10snumpy.random._sfc64.SFC64.state.__set____del__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.%d_cython_3_1_0numpy._core._multiarray_umathnumpy.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 was compiled against NumPy C-API version 0x%x (NumPy 1.20) 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 runtimenumpy.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).numpy.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 %.200stypenumpydtypeflatiterbroadcastndarraygenericnumbersignedintegerunsignedintegerinexactfloatingcomplexfloatingflexiblecharacterufuncSeedSequenceSeedlessSequencenumpy.random._commondoublePOISSON_LAM_MAXLEGACY_POISSON_LAM_MAXuint64_tMAXSIZEinit numpy.random._sfc64_cython_3_1_0.cython_function_or_method__reduce____module____dictoffset____vectorcalloffset____weaklistoffset__func_doc__doc__func_name__name____qualname__func_dict__dict__func_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults____annotations___is_coroutine_sfc64numpy.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" `_ state Get or set the PRNG state Returns ------- state : dict Dictionary containing the information required to describe the state of the PRNG @ +Q%'self._bitgen cannot be converted to a Python object for picklingnumpy._core.umath failed to importnumpy._core.multiarray failed to importstate must be for a {0} RNGSFC64.__setstate_cython__SFC64.__reduce_cython__state must be a dictnumpy.random._sfc64cline_in_tracebackasyncio.coroutines__setstate_cython__generate_state__reduce_cython__bit_generator_is_coroutine_initializingImportError__pyx_vtable__has_uint32ValueError__reduce_ex____pyx_stateisenabledTypeErroruinteger__setstate____set_name____qualname____getstate__disableuint64__reduce____module__formatenablestatenumpyemptydtype__class__SFC64__test____spec__selfseed__name____main____init____func__popget__all__npgc?;pMbXc|c\efhlgH itik0llml܂ L@(<ЄPdx<| <P t,@܋ ܌@Pܑ0lD\ |, < ̙ < \ < $  c\ =ts d$ dp P> @T X@ @s# rX r| B 4h h Pi8, CC jX @k p `k  pm o pp td  tA u_ uy 0v v w Py y |  |\7 <P `r `  $ C\  4 4Q P `$  C      +  AT  0#}  `(        #  ?  0Z  Pu  p              #  6   I  ( \  8n  H  X  h  x          '  6  E  T  b  p  ~    (  8  @  P  `  h  p         (  4  ?  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