359 lines
116 KiB
Plaintext
359 lines
116 KiB
Plaintext
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I‰ÅH…À…òíÿÿéwúÿÿÇEÔ4 E1öE1ÿE1ä1ÀH‰EȻΠéÀñÿÿ»? ÇEÀÍ é‚úÿÿèx ÇEÔ] H…À…›ûÿÿH‹=MT H‹GH‹€� H‰ÞH…ÀtfÿÐI‰ÄH…À…îÿÿH‹ý3 H‹8H�5Î E1ÿH‰Ú1Àè éSûÿÿèê I‰ÄH…À…ÓíÿÿéÁúÿÿL‹e¸étýÿÿèË I‰ÅH…À…,íÿÿéàþÿÿèµ I‰ÄH…À…žíÿÿë•f „ UH‰åL‹I‹ I‹xH‰ÂHƒÊH‰ùHÁé H1ùI¹µXÝäB ”ÚI¯ÉH‰ÎHÁî0H1ÎH¯òI÷áI¯ùHúI@IPI‰ I‰PH‰ð]à € UH‰åƒ tÇG ‹w ‰ð]ÃL‹I‹ M‹HH‰ÂHƒÊL‰ÉHÁé L1ÉIºµXÝäB ”ÚI¯ÊH‰ÎHÁî0H1ÎH¯òI÷âM¯ÊLÊI@IPI‰ I‰PÇG H‰ðHÁè ‰G ‰ð]à UH‰åL‹I‹I‹qH‰ÂHƒÊH‰÷HÁï H1÷I¸µXÝäB ”ÚI¯øH‰ùHÁé0H1ùH¯ÊI÷àI¯ðHòIAIQI‰I‰QHÁé òH*ÁòY› ]Ãf „ UH‰åAWAVAUATSHƒìI‰ÌH‰ÓI‰öI‰ÿH�5ª/ è+ H…ÀtWI‰ÅL‰eÀH‰]ÈH‰ÇL‰öèö H…ÀtCI‰ÄL‰uÐH‰ÇH‹]ÀH‰Þèà …ÀtwL‰çH‰Þè® H‹MÈH‰H…Àt;1ÛIƒE ÿuFë<»ÿÿÿÿë=H‹�1 H‹L‰ÿèb H�56/ H‰ßH‰ÂL‰ñ1ÀèÁ IƒE ÿ»ÿÿÿÿuL‰ïè? ‰ØHƒÄ[A\A]A^A_]ÃH‹‡1 L‹0L‰ÿè I‰ÇL‰çè H�5/ L‰÷L‰úH‹MÐI‰ØI‰Á1Àèa IƒE ÿ»ÿÿÿÿu¨ëž�������������UH‰åAWAVAUATSH‰uÀH‰}¸H‰ÐH È„ M‰ÃL‹EL‹}1ÀH‰EÐ1ÀH‰EÈA¾ E1äI‰Êf. „ f�H‰M°H‰U¨‰×ƒçL‹mÐL‰èI÷ãL‰ëI¯ÙHÓH‹uÈH‰òI¯ÓHÚH‰ûH÷ÛLøLÂL!ËH…ÿL‰ß¹ HDùHEòH‰uÈLEèL‰mÐL¯çL‰ðH÷çI‰ÅI¯ÞHÓIÜL‰ÛHƒÃL‰ÏHƒ× H‰ØI÷çL¯ÃLÂI¯ÿH×M¯ËI‰ÇL‰ØI÷ãLÊIÑH‹M°H‰ÊH‹u¨H¤ò?IÑê» H9ó¾ HÎM‰îI‰øL‰ÑI‰Ã‚"ÿÿÿëA½ E1ä1ÀH‰EÐ1ÀH‰EÈH‹uÀI¯õL‰èH‹M¸H÷áHòL¯áLâHEÐHUÈ[A\A]A^A_]Ãf. „ f�UH‰åAWAVAUATSH‹H‹NH‹7H‹H‰EÀH‹FH‰E¸H‰ÈH ÐH‰u°„0 H‹~L‹nI¾¤]Æ í`#I¿EöÌŸdß…CE1É1ÀH‰Eи H‰EÈE1ÀH‰Öf D H‰u H‰M˜H‰U�H‰þH‰}¨‰ÏƒçL‰øI÷áL‰ùL‹]ÐI¯ËHÑL‰óI¯ÙHËI‰úI÷ÚHðH‹u LëM!òH…ÿL‰ú¹ HDÑLEÛL‰]ÐLEÈL¯ÂH‰ÐH‹MÈH÷áI‰ÃLÂL¯ÑIÒL‰ÿHƒÇM‰ôIƒÔ H‰øH‹M¨H÷áL¯ïLêL¯áIÔM¯÷I‰ÅL‰øI÷çLòIÖH‹]�H‰ÙH‹U˜H¤Ñ?HÑî¿ H9׺ HÚL‰]ÈM‰ÐL‰ïM‰åH‰òI‰Ç‚ ÿÿÿëA» E1ÒE1É1ÀH‰EÐL‰ØH‹uÀH÷æH‹M¸I¯ËHÑL¯ÖIÊLÈLUÐH‹M°H‰L‰Q[A\A]A^A_]Ãf. „ D UH‰åAWAVAUATSH‹H‹NH‹7H‹H‰EÀH‹FH‰E¸H‰ÈH ÐH‰u°„0 H‹~L‹fI½µXÝäB ”ÚE1É1ÀH‰Eи H‰EÈE1À1öI‰Öf. „ @ L‰u H‰M˜H‰U�I‰þH‰}¨‰ÏƒçL‰èI÷áL‰éL‹]ÐI¯ËHÑH‰óI¯ÙHËI‰úI÷ÚLðL‹u LãI!òH…ÿL‰ê¹ HDÑLEÛL‰]ÐLEÈL¯ÂH‰ÐH‹MÈH÷áI‰ÃLÂL¯ÑIÒL‰ïHƒÇI‰÷Iƒ× H‰øH‹M¨H÷áL¯çLâL¯ùI×I¯õI‰ÄL‰èI÷åHòHÖH‹]�H‰ÙH‹U˜H¤Ñ?IÑî¿ H9׺ HÚL‰]ÈM‰ÐL‰çM‰üL‰òI‰Å‚ ÿÿÿëA» E1ÒE1É1ÀH‰EÐL‰ØH‹uÀH÷æH‹M¸I¯ËHÑL¯ÖIÊLÈLUÐH‹M°H‰L‰Q[A\A]A^A_]Ãf. „ D UH‰åL‹
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H‹BI¤ÁL� IƒÀH‹FLÀH‹6LÎH‹?L‰OL‰GH¹¤]Æ í`#H¯ÈIºEöÌŸdß…CI÷âHÊI¯òHÖLÀLÎH‰H‰w]Ãf. „ f�UH‰åH‹H‹@H‰H‹H‹ H‰FH‹H‹@H‰FH‹H‹@H‰F‹G‰‹G ‰]Ãf D UH‰åL‹L‹FH‹L‰HL‰ L‹FH‹vH‹L‰@H‰p‰W‰O ]Ãÿ%²+ ÿ%´+ ÿ%¶+ ÿ%¸+ ÿ%º+ ÿ%¼+ ÿ%¾+ ÿ%À+ ÿ%Â+ ÿ%Ä+ ÿ%Æ+ ÿ%È+ ÿ%Ê+ ÿ%Ì+ ÿ%Î+ ÿ%Ð+ ÿ%Ò+ ÿ%Ô+ ÿ%Ö+ ÿ%Ø+ ÿ%Ú+ ÿ%Ü+ ÿ%Þ+ ÿ%à+ ÿ%â+ ÿ%ä+ ÿ%æ+ ÿ%è+ ÿ%ê+ ÿ%ì+ ÿ%î+ ÿ%ð+ ÿ%ò+ ÿ%ô+ ÿ%ö+ ÿ%ø+ ÿ%ú+ ÿ%ü+ ÿ%þ+ ÿ% , ÿ%, ÿ%, ÿ%, ÿ%, ÿ%
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, ÿ% , ÿ%, ÿ%, ÿ%, ÿ%, ÿ%, ÿ%, ÿ%, ÿ% , ÿ% , ÿ% , ÿ%", ÿ%$, ÿ%&, ÿ%(, ÿ%*, ÿ%,, ÿ%., ÿ%0, ÿ%2, ÿ%4, ÿ%6, ÿ%8, ÿ%:, ÿ%<, ÿ%>, ÿ%@, ÿ%B, ÿ%D, ÿ%F, ÿ%H, ÿ%J, ÿ%L, ÿ%N, ÿ%P, ÿ%R, ÿ%T, ÿ%V, ÿ%X, ÿ%Z, ÿ%\, h éJ h" é@ h< é6 hY é, hs é" h‰ é h¡ é h¸ é hÕ éú hõ éð h éæ h éÜ h3 éÒ hP éÈ hd é¾ hx é´ h— éª h« é hÀ é– h× éŒ hí é‚ h éx h én h2 éd hK éZ h_ éP hz éF h™ é< h· é2 hà é( h é h é h* é
|
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hH é h` éö h{ éì h• éâ hª éØ hÀ éÎ hÙ éÄ hò éº h é° h& é¦ h; éœ hX é’ hn éˆ hˆ é~ h£ ét h¹ éj hÏ é` hù éV h éL h3 éB hO é8 hh é. h‡ é$ h é h¶ é hÎ é hã éü h éò h! éè h: éÞ hY éÔ hr éÊ hŒ éÀ h¥ é¶ h¹ é¬ hÎ é¢ hç é˜ hÿ éŽ h é„ h- éz hG ép h` éf h} é\ h¡ éR hÄ éH hâ é> hø é4 h é* h8 é ha é h~ é h• é L� ‘% ASÿ%I& �h© éæÿÿÿ < ImportError PCG64 PCG64DXSM TypeError ValueError __all__ bit_generator __class__ cline_in_traceback empty format generate_state get __getstate__ has_uint32 __import__ inc jumps __main__ __name__ np numpy.core.multiarray failed to import numpy.core.umath failed to import __pyx_vtable__ __reduce__ __reduce_ex__ seed self._bitgen,self.rng_state cannot be converted to a Python object for pickling __setstate__ state must be a dict state must be for a {0} RNG __test__ uint64 uinteger advance __reduce_cython__ __setstate_cython__ state __init__ numpy dtype _pcg64 name loader __loader__ origin __file__ parent __package__ submodule_search_locations __path__ Interpreter change detected - this module can only be loaded into one interpreter per process. Module '_pcg64' has already been imported. Re-initialisation is not supported. builtins cython_runtime __builtins__ numpy.random._pcg64 init numpy.random._pcg64 %d.%d compiletime version %s of module '%.100s' does not match runtime version %s _pcg64.pyx stringsource 18446744073709551616 210306068529402873165736369884012333109 name '%U' is not defined numpy.random.bit_generator BitGenerator %.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 numpy.random._pcg64.PCG64.jump_inplace while calling a Python object NULL result without error in PyObject_Call numpy.random._pcg64.PCG64
|
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|
|
PCG64(seed=None)
|
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|
|
|
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|
|
BitGenerator for the PCG-64 pseudo-random number generator.
|
|||
|
|
|
|||
|
|
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
|
|||
|
|
-----
|
|||
|
|
PCG-64 is a 128-bit implementation of O'Neill's permutation congruential
|
|||
|
|
generator ([1]_, [2]_). PCG-64 has a period of :math:`2^{128}` and supports
|
|||
|
|
advancing an arbitrary number of steps as well as :math:`2^{127}` streams.
|
|||
|
|
The specific member of the PCG family that we use is PCG XSL RR 128/64
|
|||
|
|
as described in the paper ([2]_).
|
|||
|
|
|
|||
|
|
``PCG64`` 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.
|
|||
|
|
|
|||
|
|
Supports the method :meth:`advance` to advance the RNG an arbitrary number of
|
|||
|
|
steps. The state of the PCG-64 RNG is represented by 2 128-bit unsigned
|
|||
|
|
integers.
|
|||
|
|
|
|||
|
|
**State and Seeding**
|
|||
|
|
|
|||
|
|
The ``PCG64`` state vector consists of 2 unsigned 128-bit values,
|
|||
|
|
which are represented externally as Python ints. One is the state of the
|
|||
|
|
PRNG, which is advanced by a linear congruential generator (LCG). The
|
|||
|
|
second is a fixed odd increment used in the LCG.
|
|||
|
|
|
|||
|
|
The input seed is processed by `SeedSequence` to generate both values. The
|
|||
|
|
increment is not independently settable.
|
|||
|
|
|
|||
|
|
**Parallel Features**
|
|||
|
|
|
|||
|
|
The preferred way to use a BitGenerator in parallel applications is to use
|
|||
|
|
the `SeedSequence.spawn` method to obtain entropy values, and to use these
|
|||
|
|
to generate new BitGenerators:
|
|||
|
|
|
|||
|
|
>>> from numpy.random import Generator, PCG64, SeedSequence
|
|||
|
|
>>> sg = SeedSequence(1234)
|
|||
|
|
>>> rg = [Generator(PCG64(s)) for s in sg.spawn(10)]
|
|||
|
|
|
|||
|
|
**Compatibility Guarantee**
|
|||
|
|
|
|||
|
|
``PCG64`` makes a guarantee that a fixed seed will always produce
|
|||
|
|
the same random integer stream.
|
|||
|
|
|
|||
|
|
References
|
|||
|
|
----------
|
|||
|
|
.. [1] `"PCG, A Family of Better Random Number Generators"
|
|||
|
|
<http://www.pcg-random.org/>`_
|
|||
|
|
.. [2] O'Neill, Melissa E. `"PCG: A Family of Simple Fast Space-Efficient
|
|||
|
|
Statistically Good Algorithms for Random Number Generation"
|
|||
|
|
<https://www.cs.hmc.edu/tr/hmc-cs-2014-0905.pdf>`_
|
|||
|
|
jumped numpy.random._pcg64.PCG64.jumped %.200s() keywords must be strings %s() got an unexpected keyword argument '%U' %s() got multiple values for keyword argument '%U' at least at most %.200s() takes %.8s %zd positional argument%.1s (%zd given) s Missing type object Cannot convert %.200s to %.200s numpy.random._pcg64.PCG64.advance numpy.random._pcg64.PCG64.__reduce_cython__ calling %R should have returned an instance of BaseException, not %R raise: exception class must be a subclass of BaseException numpy.random._pcg64.PCG64.__setstate_cython__
|
|||
|
|
Get or set the PRNG state
|
|||
|
|
|
|||
|
|
Returns
|
|||
|
|
-------
|
|||
|
|
state : dict
|
|||
|
|
Dictionary containing the information required to describe the
|
|||
|
|
state of the PRNG
|
|||
|
|
numpy.random._pcg64.PCG64.state.__get__ __del__ numpy.random._pcg64.PCG64.state.__set__ value too large to convert to int int an integer is required __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 uint32_t can't convert negative value to uint32_t numpy.random._pcg64.PCG64.__init__ Unable to initialize pickling for %s numpy.random._pcg64.PCG64DXSM.jump_inplace numpy.random._pcg64.PCG64DXSM
|
|||
|
|
PCG64DXSM(seed=None)
|
|||
|
|
|
|||
|
|
BitGenerator for the PCG-64 DXSM pseudo-random number generator.
|
|||
|
|
|
|||
|
|
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
|
|||
|
|
-----
|
|||
|
|
PCG-64 DXSM is a 128-bit implementation of O'Neill's permutation congruential
|
|||
|
|
generator ([1]_, [2]_). PCG-64 DXSM has a period of :math:`2^{128}` and supports
|
|||
|
|
advancing an arbitrary number of steps as well as :math:`2^{127}` streams.
|
|||
|
|
The specific member of the PCG family that we use is PCG CM DXSM 128/64. It
|
|||
|
|
differs from ``PCG64`` in that it uses the stronger DXSM output function,
|
|||
|
|
a 64-bit "cheap multiplier" in the LCG, and outputs from the state before
|
|||
|
|
advancing it rather than advance-then-output.
|
|||
|
|
|
|||
|
|
``PCG64DXSM`` 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.
|
|||
|
|
|
|||
|
|
Supports the method :meth:`advance` to advance the RNG an arbitrary number of
|
|||
|
|
steps. The state of the PCG-64 DXSM RNG is represented by 2 128-bit unsigned
|
|||
|
|
integers.
|
|||
|
|
|
|||
|
|
**State and Seeding**
|