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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)value too large to convert to int%s() got an unexpected keyword argument '%U'C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)%.200s does not export expected C variable %.200sC function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)%.200s does not export expected C function %.200sInterpreter change detected - this module can only be loaded into one interpreter per process.Shared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompilingmetaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its basesunbound method %.200S() needs an argument__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 callsfunction's dictionary may not be deletedsetting function's dictionary to a non-dict__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 PyObject%s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectUnexpected format string character: '%c'join() result is too long for a Python string%.200s() keywords must be strings%s() got multiple values for keyword argument '%U'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 BaseExceptioninvalid vtable found for imported type while calling a Python objectNULL result without error in PyObject_CallBuffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s'Expected a dimension of size %zu, got %zuExpected %d dimensions, got %dPython does not define a standard format string size for long double ('g')..Buffer dtype mismatch; next field is at offset %zd but %zd expectedBig-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'Cannot handle repeated arrays in format stringDoes not understand character buffer dtype format string ('%c')Expected a dimension of size %zu, got %dExpected a comma in format string, got '%c'Expected %d dimension(s), got %dUnexpected end of format string, expected ')'Buffer has wrong number of dimensions (expected %d, got %d)Item size of buffer (%zd byte%s) does not match size of '%s' (%zd byte%s)can't convert negative value to uint32_tvalue too large to convert to uint32_tnumpy/random/bit_generator.pxdnumpy.random.bit_generator.SeedSequence.n_children_spawned.__get__numpy.random.bit_generator.SeedSequence.pool_size.__get__numpy/random/bit_generator.pyxnumpy.random.bit_generator.__defaults__numpy.random.bit_generator.SeedSequence.state.__get__Out of bounds on buffer access (axis %d)numpy.random.bit_generator.SeedSequence.mix_entropy%.200s() takes %.8s %zd positional argument%.1s (%zd given)numpy.random.bit_generator.BitGenerator.__getstate__numpy.random.bit_generator.BitGenerator.ctypes.__get__numpy.random.bit_generator.BitGenerator.cffi.__get__numpy.random.bit_generator.BitGenerator.__reduce__strings are too large to concatnumpy.random.bit_generator.SeedSequence.__repr__numpy.random.bit_generator.BitGenerator.state.__get__numpy.random.bit_generator.BitGenerator.state.__set__numpy.random.bit_generator.ISpawnableSeedSequence.spawnnumpy.random.bit_generator.SeedSequence.spawnnumpy.random.bit_generator.ISeedSequence.generate_statenumpy.random.bit_generator.SeedlessSeedSequence.spawnnumpy.random.bit_generator.BitGenerator.random_rawnumpy.random.bit_generator.BitGenerator._benchmarknumpy.random.bit_generator.BitGenerator.__setstate____mro_entries__ must return a tupleCannot convert %.200s to %.200snumpy.random.bit_generator.SeedSequence.__init__numpy.random.bit_generator.SeedSequence.get_assembled_entropynumpy.random.bit_generator._int_to_uint32_arraynumpy.random.bit_generator.SeedlessSeedSequence.generate_statenumpy.random.bit_generator.SeedlessSeedSequence.__reduce_cython__numpy.random.bit_generator.BitGenerator.__init__'NoneType' object is not subscriptablehasattr(): attribute name must be stringnumpy.random.bit_generator.__pyx_unpickle_SeedSequence__set_statenumpy.random.bit_generator.SeedSequence.__setstate_cython__numpy.random.bit_generator.__pyx_unpickle_SeedSequenceobject of type 'NoneType' has no len()numpy.random.bit_generator.__pyx_unpickle_SeedlessSeedSequence__set_statenumpy.random.bit_generator.SeedlessSeedSequence.__setstate_cython____pyx_unpickle_SeedlessSeedSequencenumpy.random.bit_generator.__pyx_unpickle_SeedlessSeedSequence%.200s object is not an iteratornumpy.random.bit_generator.SeedSequence.generate_statenumpy.random.bit_generator._coerce_to_uint32_arraynumpy.random.bit_generator.SeedSequence.__reduce_cython__numpy.random.bit_generator.BitGenerator.spawnUnable to initialize pickling for %.200sModule 'bit_generator' has already been imported. Re-initialisation is not supported.compile time Python version %d.%d of module '%.100s' %s runtime version %d.%dmultiple bases have vtable conflict: '%.200s' and '%.200s'PyObject *(bitgen_t *, PyObject *, Py_ssize_t, PyObject *)PyObject *(bitgen_t *, PyObject *, PyObject *, PyObject *)_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 1.20) 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 runtime../numpy/__init__.cython-30.pxdinit numpy.random.bit_generator_cython_3_1_0.cython_function_or_methodnumpy.random.bit_generator.__pyx_defaultsnumpy.random.bit_generator.SeedlessSeedSequence A seed sequence for BitGenerators with no need for seed state. See Also -------- SeedSequence, ISeedSequence numpy.random.bit_generator.SeedlessSequencenumpy.random.bit_generator.SeedSequence SeedSequence(entropy=None, *, spawn_key=(), pool_size=4) SeedSequence mixes sources of entropy in a reproducible way to set the initial state for independent and very probably non-overlapping BitGenerators. Once the SeedSequence is instantiated, you can call the `generate_state` method to get an appropriately sized seed. Calling `spawn(n) ` will create ``n`` SeedSequences that can be used to seed independent BitGenerators, i.e. for different threads. Parameters ---------- entropy : {None, int, sequence[int]}, optional The entropy for creating a `SeedSequence`. All integer values must be non-negative. spawn_key : {(), sequence[int]}, optional An additional source of entropy based on the position of this `SeedSequence` in the tree of such objects created with the `SeedSequence.spawn` method. Typically, only `SeedSequence.spawn` will set this, and users will not. pool_size : {int}, optional Size of the pooled entropy to store. Default is 4 to give a 128-bit entropy pool. 8 (for 256 bits) is another reasonable choice if working with larger PRNGs, but there is very little to be gained by selecting another value. n_children_spawned : {int}, optional The number of children already spawned. Only pass this if reconstructing a `SeedSequence` from a serialized form. Notes ----- Best practice for achieving reproducible bit streams is to use the default ``None`` for the initial entropy, and then use `SeedSequence.entropy` to log/pickle the `entropy` for reproducibility: >>> sq1 = np.random.SeedSequence() >>> sq1.entropy 243799254704924441050048792905230269161 # random >>> sq2 = np.random.SeedSequence(sq1.entropy) >>> np.all(sq1.generate_state(10) == sq2.generate_state(10)) True numpy.random.bit_generator.BitGenerator BitGenerator(seed=None) Base Class for generic BitGenerators, which provide a stream of random bits based on different algorithms. Must be overridden. 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 `~numpy.random.SeedSequence` to derive the initial `BitGenerator` state. One may also pass in a `SeedSequence` instance. All integer values must be non-negative. Attributes ---------- lock : threading.Lock Lock instance that is shared so that the same BitGenerator can be used in multiple Generators without corrupting the state. Code that generates values from a bit generator should hold the bit generator's lock. See Also -------- SeedSequence Get or set the PRNG state The base BitGenerator.state must be overridden by a subclass Returns ------- state : dict Dictionary containing the information required to describe the state of the PRNG Get the seed sequence used to initialize the bit generator. .. versionadded:: 1.25.0 Returns ------- seed_seq : ISeedSequence The SeedSequence object used to initialize the BitGenerator. This is normally a `np.random.SeedSequence` instance. ctypes interface Returns ------- interface : namedtuple Named tuple containing ctypes wrapper * state_address - Memory address of the state struct * state - pointer to the state struct * next_uint64 - function pointer to produce 64 bit integers * next_uint32 - function pointer to produce 32 bit integers * next_double - function pointer to produce doubles * bitgen - pointer to the bit generator struct CFFI interface Returns ------- interface : namedtuple Named tuple containing CFFI wrapper * state_address - Memory address of the state struct * state - pointer to the state struct * next_uint64 - function pointer to produce 64 bit integers * next_uint32 - function pointer to produce 32 bit integers * next_double - function pointer to produce doubles * bitgen - pointer to the bit generator struct `Y0Y0Y`Y0Y0Y0Y0Y0YY Y0Y0YY0Y0YYYY0Y0Y0Y0Y0Y0Y0Y0Y0Y0Y0Y0Y0Y0Y0Y0Y`Y`YY0Y YpYY Y0Y0YY0Y0Y0Y`YY0Y`Y\o>> import numpy as np >>> from numpy.random.bit_generator import _coerce_to_uint32_array >>> _coerce_to_uint32_array(12345) array([12345], dtype=uint32) >>> _coerce_to_uint32_array('12345') array([12345], dtype=uint32) >>> _coerce_to_uint32_array('0x12345') array([74565], dtype=uint32) >>> _coerce_to_uint32_array([12345, '67890']) array([12345, 67890], dtype=uint32) >>> _coerce_to_uint32_array(np.array([12345, 67890], dtype=np.uint32)) array([12345, 67890], dtype=uint32) >>> _coerce_to_uint32_array(np.array([12345, 67890], dtype=np.int64)) array([12345, 67890], dtype=uint32) >>> _coerce_to_uint32_array([12345, 0x10deadbeef, 67890, 0xdeadbeef]) array([ 12345, 3735928559, 16, 67890, 3735928559], dtype=uint32) >>> _coerce_to_uint32_array(1234567890123456789012345678901234567890) array([3460238034, 2898026390, 3235640248, 2697535605, 3], dtype=uint32) Incompatible checksums (0x%x vs (0x3eaa222, 0xc464c19, 0xf88304a) = (entropy, n_children_spawned, pool, pool_size, spawn_key)) Abstract base class for seed sequences that can spawn. seedless SeedSequences cannot generate statenumpy._core.umath failed to importnumpy._core.multiarray failed to importThe underlying SeedSequence does not implement spawning.The size of the entropy pool should be at least SeedlessSeedSequence.generate_stateSeedlessSeedSequence.__reduce_cython__SeedSequence expects int or sequence of ints for entropy not {}Not implemented in base BitGeneratorIncompatible checksums (0x%x vs (0xe3b0c44, 0xda39a3e, 0xd41d8cd) = ())BitGenerator is a base class and cannot be instantizedSeedlessSeedSequence.__setstate_cython__ Coerce an input to a uint32 array. If a `uint32` array, pass it through directly. If a non-negative integer, then break it up into `uint32` words, lowest bits first. If a string starting with "0x", then interpret as a hex integer, as above. If a string of decimal digits, interpret as a decimal integer, as above. If a sequence of ints or strings, interpret each element as above and concatenate. Note that the handling of `int64` or `uint64` arrays are not just straightforward views as `uint32` arrays. If an element is small enough to fit into a `uint32`, then it will only take up one `uint32` element in the output. This is to make sure that the interpretation of a sequence of integers is the same regardless of numpy's default integer type, which differs on different platforms. Parameters ---------- x : int, str, sequence of int or str Returns ------- seed_array : uint32 array Examples -------- >>> import numpy as np >>> from numpy.random.bit_generator import _coerce_to_uint32_array >>> _coerce_to_uint32_array(12345) array([12345], dtype=uint32) >>> _coerce_to_uint32_array('12345') array([12345], dtype=uint32) >>> _coerce_to_uint32_array('0x12345') array([74565], dtype=uint32) >>> _coerce_to_uint32_array([12345, '67890']) array([12345, 67890], dtype=uint32) >>> _coerce_to_uint32_array(np.array([12345, 67890], dtype=np.uint32)) array([12345, 67890], dtype=uint32) >>> _coerce_to_uint32_array(np.array([12345, 67890], dtype=np.int64)) array([12345, 67890], dtype=uint32) >>> _coerce_to_uint32_array([12345, 0x10deadbeef, 67890, 0xdeadbeef]) array([ 12345, 3735928559, 16, 67890, 3735928559], dtype=uint32) >>> _coerce_to_uint32_array(1234567890123456789012345678901234567890) array([3460238034, 2898026390, 3235640248, 2697535605, 3], dtype=uint32) BitGenerator base class and SeedSequence used to seed the BitGenerators. SeedSequence is derived from Melissa E. O'Neill's C++11 `std::seed_seq` implementation, as it has a lot of nice properties that we want. https://gist.github.com/imneme/540829265469e673d045 https://www.pcg-random.org/posts/developing-a-seed_seq-alternative.html The MIT License (MIT) Copyright (c) 2015 Melissa E. O'Neill Copyright (c) 2019 NumPy Developers Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. _BitGenerator__bit_generator_ctor Abstract base class for seed sequences. ``BitGenerator`` implementations should treat any object that adheres to this interface as a seed sequence. See Also -------- SeedSequence, SeedlessSeedSequence __pyx_unpickle_SeedlessSeedSequencenumpy/random/bit_generator.pyx_coerce_to_uint32_array (line 81)SeedSequence.__setstate_cython__only support uint32 or uint64expected non-negative integerSeedSequence.__reduce_cython__ISpawnableSeedSequence.spawnISeedSequence.generate_stateSeedSequence.generate_statenumpy.random.bit_generatorSeedlessSeedSequence.spawn__pyx_unpickle_SeedSequenceunrecognized seed stringBitGenerator.random_rawBitGenerator._benchmarkBitGenerator.__setstate__BitGenerator.__getstate___coerce_to_uint32_arrayISpawnableSeedSequenceBitGenerator.__reduce__seed must be integer n_children_spawned=SeedlessSeedSequence_int_to_uint32_arrayNotImplementedErrorn_children_spawnedcline_in_traceback__bit_generator_ctorasyncio.coroutinesSeedSequence.spawnBitGenerator.spawnSeedlessSequence__setstate_cython____pyx_PickleErrorstate_seed_seqgenerate_stateabstractmethodAssertionError__reduce_cython__ISeedSequenceuse_setstate__pyx_checksum_is_coroutine_initializingSeedSequenceBitGenerator spawn_key= pool_size=__mro_entries__concatenatePickleErrorImportErrorstartswithrandom_raw__pyx_vtable____pyx_resultn_childrenhash_constValueErrorDECIMAL_REthreadingsrc_cyclespawn_key__reduce_ex____pyx_statepool_sizeout_dtype__metaclass__itertoolsisenabled entropy=_benchmarkTypeError__setstate____set_name__registerrandbits__qualname____pyx_typepickle__getstate__errstatedata_valsubseqssecrets__prepare__n_wordsentropydisablecompileupdateuint64uint32__reduce___pickleoutput__module__methodignoreformatenable_dictastypezerosstatespawnrangenumpymatchi_dstdtypecyclearrayview__test____spec__sizeseqsselfseedovernext__name____main____func____dict__copybaseLocksyspop__new____doc__cntarr__all__abcABC[0-9]+t0X4$$$$ 0@P(`<pPdx00,D @` ,@`l`@  ,  d ` | @ P  ` P   ` PP 0 D 0`  p  p (@`!(`"@"X0#l$$&p''$0)p*`.P106;=D ?|@B @C@C`EFIHS@TT `U0PYf hLpjmrd}@Ј |0`8|PpdPDP,  !d!!<"P&"H #e|#n#zRx $@FJ w?;*3$"D8 X4 l0 , ( $   $     4H$ \ 1pL`D| H XDz B @\ cA\ d@4AGG0k GAF d DAG Z CAJ 0D7AU J V$dMAU J \ D L~\ a C }\~\ a C }4\BDD W DBE ABAG`~A08dmBDM g GGH GOB l|A@ G b F @BAD G DBD ] AEE _ DBK (XBJ0V BD I BE zYF A  LxAx O o @Aj M [ dh4A O 4,}BEE A(D0a(D BBB4LBKH { ABE D DBN AdN;lN4(ADD b CAA I CAC 4`l ADD  CAG I CAK XDBED A(F0s (D ABBB L (D ABBK D(D DBB xjA C H H )AcD4'BEE L(A0A8E@8D0A(B BBBD|ܛ'BEE L(A0A8E@8D0A(B BBB8~BEH A(A0b(D BBB8aBBE A(A0K(D BBB4<uBDD ] ABF AAB4tUBDD s GBJ AAB4@BDD  GBG AAB Dq K K E VBA@8 BBB D(D0n(D BBBx\`BBE B(D0D8Dc 8G0A(B BBBF R 8D0A(B BBBA Q 8I0A(B BBBM d }DE G ( ADD U AAH ( < ADD U AAH L Do E o I l hDo E o p hDo E ol {BEF E(D0H8J`hApBxAAABAABL`T8D0A(B BBBH BEE E(A0D8GPe8D0A(B BBBPh W BHE A(D0JGfA\0D(A BBB DbH 8 BGB B(D0A8J`/ 8D0A(B BBBH x 'BBB E(A0A8D@_ 8A0A(B BBBF _ 8A0A(B BBBG _ 8F0A(B BBBB h BBD  EBH T BBP F EBK f BBF Q EBH t BBH $ cBDA XAB0  D  `X GBBB B(D0D8G` 8A0A(B BBBG  8C0A(B BBBH  e|h dh 1   Do E C E H8 4BBD C(D0 (A ABBG (A ABB  dzYF A H :BBB E(A0D8D@^ 8D0A(B BBBA 4BAG S DBE n DBD p<@oBKF D(D0F (I DBBF u (I DBBJ  (D ABBE (I ABB<dQBB B(A0D8DP`HPt 8D0A(B BBBG H,P#BBB B(H0D8GP  8D0A(B BBBA \x'AGJp AAH A FAH O AAG { AAA `xHYxAp44)BAD M DBF @ AEJ <*GD sABAP m`P+=BBB B(D0D8FP 8A0A(B BBBC N 8A0A(B BBBH -GD Q K f-GD R J f`(.UBBB B(A0D8FP 8A0A(B BBBC N 8A0A(B BBBH 4X$0AAL K AAE \ CAH H0sBBB B(A0A8G@s 8D0A(B BBBG L2 BBB E(A0D8G 8A0A(B BBBE L,`<5AAD0d AAD ` CAD D8R@`8A0F AAI |P=AG Y AF =AG Y AF (>BBB A(A0D@ 0D(A BBBE  0D(A BBBI DHNPgHA@G 0A(A BBBG ` 0D(D BBBB LTAh BBB B(A0A8Gv 8D0A(B BBBD 8N_BBA A(D0U (D ABBH 8OKBBA A(D@ (C ABBF 8QBBA A(D@ (F ABBC X4TBIB B(D0A8DYW_A 8D0A(B BBBA  8C0A(B BBBJ GW_AD 8D0A(B BBBA lX BIE B(D0A8GCW_Ac 8D0A(B BBBH W_AhhcBMG B(Q0D8G 8A0A(B BBBA 8 HB GNgAlhiBIE E(A0A8DW_A_ 8D0A(B BBBC W_AXDn>BLB B(A0A8DL`AX 8D0A(B BBBA lrBIB B(A0D8DHYAX 8D0A(B BBBA V_Al|y0BLB E(A0A8DW_A_ 8D0A(B BBBC ?W_A@U`1UpWRP SPZRR3R N@R`SS@0mR`SR N@R3R SPZRPS`bSP*R`7R SbSRIR0RP2`RCS@MSGCC: (GNU) 10.2.1 20210130 (Red Hat 10.2.1-11)8`X !!HJ ` ` i B PPpx * @ Z P  `  p ! e   0 p     0  @1Z-u `@6 X! @@B A\ x p  7 M @ `~3 ~t i i `m | P  z 0x]  4 xj}  `A! ;^    0j ) j'+ l'F Cm~` masH6 u PU  '  E  "oB\  dou    }     Ph*  hD  oa  p  `   @e  r +  0X  y  '    sc    .  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