Edit: /opt/imh-python/lib/python3.9/site-packages/numpy/random/_sfc64.cpython-39-x86_64-linux-gnu.so (76736B)
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HLH H HL1HT HHH H1HHHHWHH H1HT HHGfHGH9t ooONG G$ @ HHHGHFHGHFHGHFG G$ff. @ HFH9tooNW O$OHHFHFHFHF W O$ HH __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) value too large to convert to int %.200s does not export expected C variable %.200s C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s) Interpreter change detected - this module can only be loaded into one interpreter per process. %.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 instance exception may not have a separate value calling %R should have returned an instance of BaseException, not %R raise: exception class must be a subclass of BaseException %s() got multiple values for keyword argument '%U' %.200s() keywords must be strings %s() got an unexpected keyword argument '%U' invalid vtable found for imported type can't convert negative value to uint32_t value too large to convert to uint32_t while calling a Python object NULL result without error in PyObject_Call '%.200s' object has no attribute '%U' numpy/random/_sfc64.cpython-39-x86_64-linux-gnu.so.p/numpy/random/_sfc64.pyx.c Module '_sfc64' has already been imported. Re-initialisation is not supported. compile time version %s of module '%.100s' does not match runtime version %s _ARRAY_API is not PyCapsule object module compiled against ABI version 0x%x but this version of numpy is 0x%x 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 . FATAL: module compiled as unknown endian FATAL: module compiled as little endian, but detected different endianness at runtime 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). base class '%.200s' is not a heap type extension 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 type multiple bases have vtable conflict: '%.200s' and '%.200s' Unable to initialize pickling for %.200s Cannot convert %.200s to %.200s %.200s() takes %.8s %zd positional argument%.1s (%zd given) numpy.random._sfc64.SFC64.__init__ numpy.random._sfc64.SFC64.state.__get__ numpy.random._sfc64.SFC64.__setstate_cython__ numpy.random._sfc64.SFC64.__reduce_cython__ numpy.random._sfc64.SFC64.state.__set__ '%.200s' object does not support slice %.10s
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"
`_
Get or set the PRNG state
Returns
-------
state : dict
Dictionary containing the information required to describe the
state of the PRNG
int an integer is required __pyx_capi__ name __loader__ loader __file__ origin __package__ parent __path__ submodule_search_locations name '%U' is not defined %s (%s:%d) builtins cython_runtime __builtins__ %d.%d numpy.core._multiarray_umath _ARRAY_API _ARRAY_API not found _ARRAY_API is NULL pointer numpy.random.bit_generator BitGenerator numpy dtype flatiter broadcast ndarray generic number unsignedinteger inexact complexfloating flexible character ufunc SeedSequence SeedlessSequence numpy.random._common double LEGACY_POISSON_LAM_MAX uint64_t MAXSIZE _sfc64.pyx init numpy.random._sfc64 at least at most __init__ Missing type object __setstate_cython__ exactly __reduce_cython__ assignment __del__ numpy.random._sfc64.SFC64 state self._bitgen cannot be converted to a Python object for pickling numpy.core.umath failed to import numpy.core.multiarray failed to import state must be for a {0} RNG state must be a dict cline_in_traceback __setstate_cython__ generate_state __reduce_cython__ bit_generator _initializing ImportError __pyx_vtable__ has_uint32 ValueError __reduce_ex__ __pyx_state isenabled TypeError uinteger __setstate__ __getstate__ disable uint64 __reduce__ __import__ format enable state numpy empty dtype __class__ SFC64 __test__ __spec__ seed __name__ __main__ __init__ get __all__ np gc ? * < @ ;D ' xU` Zl [ c\ ]X ^ ^m m4 o Gp ؆ ( H h ( , H ȋ H 8H ؑ X P H x 0 h@ ط X ȿD 8 zR x $ Tp FJ w ?;*3$" D HA X i l S , 8& Da P \ A@
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