iH%SSKrSSKrSSKrSSKrSSKrSSKJr SSKJrJr SSK J r SSK J r SSKJ r SSKJrJrJrJrJrJrJrJr SSKJr SS KJr SS KJr SS KJrJr SS K J!r!J"r"J#r#J$r$J%r%J&r& SS K'J(r( SSK)J*r* SSK+J,r,J-r-J.r.J/r/ SSK0J1r1J2r2J3r3 SSK4J5r5J6r6J7r7J8r8J9r9 SSK:J;r; SSKr> \(a SSK?J@r@ SSK0JArA \"S5rB\SrC\\DS'SrESSS.rF\G\H\H\IS-4\DS'\J\#\J\S44rK\\DS '\J\JS!\JS!4rL\\DS"'\"S#5rM\\K\L4\DS$'\N"S%S&5Vs/sHnS'U-PM sn\N"S(S)5Vs/sHnS*U-PM sn-\N"S+S,5Vs/sHn\RU5PM sn-/S-Q-rP\PR\PVs/sHoS.- PM sn\PVs/sHoS.-PM sn-5 \PR\PVs/sHo*PM sn5 \R"S/\P55(deS0S1S2S3S4S5S6S7\9"S85\ R\ RS9S:S;S/S?Vs/sH nS@U*-PM sn-SAVs/sHn\ RU- PM sn-rU\UR\UVs/sHo*PM sn5 \R"SB\U55(de1SCkrV\1"\"\P5\"\U\6SD9\"5\"\V5SE9rW\1"\"5\"\6SD9\"5\"5SE9qX\Y"5rZ\Y\DSF'Sq[\\S-\DSG'SH\14SIjr]\SJ5r^"SKSL\5r_"SMS\R5ra"SNSO\a5rb\N"SP5Vs/sH nS.U-S.- PM snrcSQ\cS'"SRSS\a5rd"STSU\ 5re"SVSW\b5rfgs snfs snfs snfs snfs snfs snfs snfs snfs snfs snf)XN)Iterable)AbstractContextManagercontextmanager)cached_property)Random) float_info) TYPE_CHECKINGAnyClassVarLiteralOptional TypeAlias TypedDictTypeVar) SortedSet)HypothesisWarning)LRUCache)WINDOWSint_from_bytes)ChoiceConstraintsTChoiceT ChoiceTypeTFloatConstraintschoice_constraints_keychoice_permitted) lex_to_float) bits_to_bytes) INT_SIZESINT_SIZES_SAMPLERSamplermany) Constantsconstants_from_moduleis_local_module_file) SIGNALING_NAN float_to_intmake_float_clamper next_downnext_up) IntervalSet)InfoObservationTypeTestCaseObservation)ConjectureData) ConstantTT test_case test_function LifetimeTld( z;hypothesis.internal.conjecture.providers.HypothesisProviderz8hypothesis.internal.conjecture.providers.URandomProvider) hypothesiszhypothesis-urandomPrimitiveProviderAVAILABLE_PROVIDERS. CacheKeyT)r.. CacheValueTiCONSTANTS_CACHEB )i.l./?l*_Rl:CK"c#d# UH&nS[U5s=:*=(a SS-:*Os v M( g7f)iPr<r;N)abs).0ns g/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/hypothesis/internal/conjecture/providers.py rHs* B.A6SV $ $q"u $ $.As.0?g?g?gffffff?gUUUUUU?gcAgh㈵>gc 8g6pGg@CgwJ?g9b->@gh_>g<)~g@)r<r?iic#B# UHn[U[5v M g7fN) isinstancefloat)rEfs rGrHrHs :)9A:a  )9s>80ifINFInfNILNULNaNnilCOM1LPT1NULLNoneTRUETrueelsenonenullthentrue1e100FALSEFalsefalseInfinity__dict__ __proto__ undefined Scunthorpe999999999999999999999999999999ȺȾ🏻😍🇺🇸👍🏻æœÆŒffʤʨßमनीष منش(╯°□°）╯︵ ┻━┻)الكل في المجمو عة)ʇǝɯɐ ʇᴉs ɹolop ɯnsdᴉ ɯǝɹo˥-᚛ᚄᚓᚐᚋᚒᚄ ᚑᚄᚂᚑᚏᚅ᚜1lorem لا بسم الله ipsum 你好1234你好kपन्ह पन्ह त्र र्च कृकृ ड्ड न्हृे إلا بسم الله}Ṱ̺̺̕o͞ ̷i̲̬͇̪͙n̝̗͕v̟̜̘̦͟o̶̙̰̠kè͚̮̺̪̹̱̤ ̖t̝͕̳̣̻̪͞h̼͓̲̦̳̘̲e͇̣̰̦̬͎ ̢̼̻̱̘h͚͎͙̜̣̲ͅi̦̲̣̰̤v̻͍e̺̭̳̪̰-m̢iͅn̖̺̞̲̯̰d̵̼̟͙̩̼̘̳ ̞̥̱̳̭r̛̗̘e͙p͠r̼̞̻̭̗e̺̠̣͟s̘͇̳͍̝͉e͉̥̯̞̲͚̬͜ǹ̬͎͎̟̖͇̤t͍̬̤͓̼̭͘ͅi̪̱n͠g̴͉ ͏͉ͅc̬̟h͡a̫̻̯͘o̫̟̖͍̙̝͉s̗̦̲.̨̹͈̣𝐓𝐡𝐞 𝐪𝐮𝐢𝐜𝐤 𝐛𝐫𝐨𝐰𝐧 𝐟𝐨𝐱 𝐣𝐮𝐦𝐩𝐬 𝐨𝐯𝐞𝐫 𝐭𝐡𝐞 𝐥𝐚𝐳𝐲 𝐝𝐨𝐠𝑻𝒉𝒆 𝒒𝒖𝒊𝒄𝒌 𝒃𝒓𝒐𝒘𝒏 𝒇𝒐𝒙 𝒋𝒖𝒎𝒑𝒔 𝒐𝒗𝒆𝒓 𝒕𝒉𝒆 𝒍𝒂𝒛𝒚 𝒅𝒐𝒈𝓣𝓱𝓮 𝓺𝓾𝓲𝓬𝓴 𝓫𝓻𝓸𝔀𝓷 𝓯𝓸𝔁 𝓳𝓾𝓶𝓹𝓼 𝓸𝓿𝓮𝓻 𝓽𝓱𝓮 𝓵𝓪𝔃𝔂 𝓭𝓸𝓰𝕋𝕙𝕖 𝕢𝕦𝕚𝕔𝕜 𝕓𝕣𝕠𝕨𝕟 𝕗𝕠𝕩 𝕛𝕦𝕞𝕡𝕤 𝕠𝕧𝕖𝕣 𝕥𝕙𝕖 𝕝𝕒𝕫𝕪 𝕕𝕠𝕘𝕿𝖍𝖊 𝖖𝖚𝖎𝖈𝖐 𝖇𝖗𝖔𝖜𝖓 𝖋𝖔𝖝 𝖏𝖚𝖒𝖕𝖘 𝖔𝖛𝖊𝖗 𝖙𝖍𝖊 𝖑𝖆𝖟𝖞 𝖉𝖔𝖌Ω≈ç√∫˜µ≤≥÷åß∂ƒ©˙∆˚¬…æœ∑´®†¥¨ˆøπ“‘¡™£¢∞§¶•ªº–≠¸˛Ç◊ı˜Â¯˘¿ÅÍÎÏ˝ÓÔÒÚÆ☃Œ„´‰ˇÁ¨ˆØ∏”’`⁄€‹›fifl‡°·‚—±0/01/0+0.00..0 -Infinity ,./;'[]\-=<>?:"{}|_+!@#$%^&*()`~)key)integersfloatsbytesstrings _seen_modules_sys_modules_lenreturnc[RS:Xa[$[[5n[[R5=n[ :wa/n[ [RR55H*up4U[;nU(aMURX445 M, [5nUHJup4[USS5=nb[U5(aU[U5-n[RU5 ML [U-qUq[[5U:a[ R"R%5 [$![a U[;nNf=f![a [RU5 Mf=f)N emscripten__file__)sysplatform_local_constantslenmodulesrlistitemsr TypeErrorappendr"getattrr$r#addr9cacheclear)count_constantssys_modules_len new_modulesnamemoduleseen new_constants module_files rG_get_local_constantsrsU |||# *+O"s{{++0@@  !2!2!45LD -.4""D>26" 'LD&vz4@@ 2;??!6v!>>  (!!&) ( M)*  .##% 5 -}, - (!!$' (s$< E%EEEE<;E<c#N# U[U'Sv [U g![U f=f7frP)r6)r provider_clss rGwith_register_backendr[s)&$0D!  %  %s% % "%cD\rSrSr%\\S'\\S'\\\\4-\S'Sr g)_BackendInfoMsgidtypetitlecontentN) __name__ __module__ __qualname____firstlineno__r+__annotations__strdictr __static_attributes__rrGrrds  J 4S> !!rrc \rSrSr%SrSr\\\S'Sr \\ \S'Sr \\ \S'S\ S S S 4S jr \RS2S \S \ 4Sjj5r\RS3S SS.S\S -S\S -S\\\4S -S\S \4 Sjjj5r\R\R,*\R,SS.S\S\S\ S\S \4 Sjj5r\RS\S.S\S\S\S \4Sjj5r\RS\4S\S\S \4S jj5rS \4S!jrSS".S#\ S$\ S \ 4S%jjr!S&\"\#S'4S S 4S(jr$S \\\%44S)jr&S\S \'\(4S*jr)S+\*S S 4S,jr+S-\S S 4S.jr,S/\ S S 4S0jr-S1r.g )4r5ima= |PrimitiveProvider| is the implementation interface of a :ref:`Hypothesis backend `. A |PrimitiveProvider| is required to implement the following five ``draw_*`` methods: * |PrimitiveProvider.draw_integer| * |PrimitiveProvider.draw_boolean| * |PrimitiveProvider.draw_float| * |PrimitiveProvider.draw_string| * |PrimitiveProvider.draw_bytes| Each strategy in Hypothesis generates values by drawing a series of choices from these five methods. By overriding them, a |PrimitiveProvider| can control the distribution of inputs generated by Hypothesis. For example, :pypi:`hypothesis-crosshair` implements a |PrimitiveProvider| which uses an SMT solver to generate inputs that uncover new branches. Once you implement a |PrimitiveProvider|, you can make it available for use through |AVAILABLE_PROVIDERS|. r2lifetimeFavoid_realizationadd_observability_callbackconjecturedatar-rNcXlgrP_cd)selfrs rG__init__PrimitiveProvider.__init__s!rpc[e)a_ Draw a boolean choice. Parameters ---------- p: float The probability of returning ``True``. Between 0 and 1 inclusive. Except for ``0`` and ``1``, the value of ``p`` is a hint provided by Hypothesis, and may be ignored by the backend. If ``0``, the provider must return ``False``. If ``1``, the provider must return ``True``. NotImplementedErrorrrs rG draw_booleanPrimitiveProvider.draw_booleans &"!rrweightsshrink_towards min_value max_valuerrc[e)a Draw an integer choice. Parameters ---------- min_value : int | None (Inclusive) lower bound on the integer value. If ``None``, there is no lower bound. max_value : int | None (Inclusive) upper bound on the integer value. If ``None``, there is no upper bound. weights: dict[int, float] | None Maps keys in the range [``min_value``, ``max_value``] to the probability of returning that key. shrink_towards: int The integer to shrink towards. This is not used during generation and can be ignored by backends. r)rrrrrs rG draw_integerPrimitiveProvider.draw_integers 6"!rTrr allow_nanrsmallest_nonzero_magnitudec[e)a Draw a float choice. Parameters ---------- min_value : float (Inclusive) lower bound on the float value. max_value : float (Inclusive) upper bound on the float value. allow_nan : bool If ``False``, it is invalid to return ``math.nan``. smallest_nonzero_magnitude : float The smallest allowed nonzero magnitude. ``draw_float`` should not return a float ``f`` if ``abs(f) < smallest_nonzero_magnitude``. r)rrrrrs rG draw_floatPrimitiveProvider.draw_floats 0"!rmin_sizemax_size intervalsrrc[e)z Draw a string choice. Parameters ---------- intervals : IntervalSet The set of codepoints to sample from. min_size : int (Inclusive) lower bound on the string length. max_size : int (Inclusive) upper bound on the string length. r)rrrrs rG draw_stringPrimitiveProvider.draw_strings ("!rc[e)z Draw a bytes choice. Parameters ---------- min_size : int (Inclusive) lower bound on the bytes length. max_size : int (Inclusive) upper bound on the bytes length. r)rrrs rG draw_bytesPrimitiveProvider.draw_bytess "!rc,[R"5$)aa Returns a context manager which will be entered each time Hypothesis starts generating and executing one test case, and exited when that test case finishes generating and executing, including if any exception is thrown. In the lifecycle of a Hypothesis test, this is called before generating strategy values for each test case. This is just before any :ref:`custom executor ` is called. Even if not returning a custom context manager, |PrimitiveProvider| subclasses are welcome to override this method to know when Hypothesis starts and ends the execution of a single test case. ) contextlib nullcontextrs rGper_test_case_context_manager/PrimitiveProvider.per_test_case_context_manager"s%%''r) for_failurevaluercU$)a@ Called whenever hypothesis requires a concrete (non-symbolic) value from a potentially symbolic value. Hypothesis will not check that ``value`` is symbolic before calling ``realize``, so you should handle the case where ``value`` is non-symbolic. The returned value should be non-symbolic. If you cannot provide a value, raise |BackendCannotProceed| with a value of ``"discard_test_case"``. If ``for_failure`` is ``True``, the value is associated with a failing example. In this case, the backend should spend substantially more effort when attempting to realize the value, since it is important to avoid discarding failing examples. Backends may still raise |BackendCannotProceed| when ``for_failure`` is ``True``, if realization is truly impossible or if realization takes significantly longer than expected (say, 5 minutes). r)rrrs rGrealizePrimitiveProvider.realize3s " rchoices.cg)aw Called when Hypothesis has discovered a choice sequence which the provider may wish to enqueue to replay under its own instrumentation when we next ask to generate a test case, rather than generating one from scratch. This is used to e.g. warm-start :pypi:`hypothesis-crosshair` with a corpus of high-code-coverage inputs discovered by `HypoFuzz `_. Nr)rrs rGreplay_choices PrimitiveProvider.replay_choicesFsrc0$)zCalled at the end of the test case when :ref:`observability ` is enabled. The return value should be a non-symbolic json-encodable dictionary, and will be included in observations as ``observation["metadata"]["backend"]``. rrs rGobserve_test_case#PrimitiveProvider.observe_test_caseRs  rc#4# US;de/ShvN gN7f)a,Called at the end of each test case and again at end of the test function. Return an iterable of ``{type: info/alert/error, title: str, content: str | dict}`` dictionaries to be delivered as individual information messages. Hypothesis adds the ``run_start`` timestamp and ``property`` name for you. r0Nr)rrs rGobserve_information_messages.PrimitiveProvider.observe_information_messages[s9999 s  observationcg)a Called at the end of each test case which uses this provider, with the same ``observation["type"] == "test_case"`` observation that is passed to other callbacks added via |add_observability_callback|. This method is not called with ``observation["type"] in {"info", "alert", "error"}`` observations. .. important:: For |PrimitiveProvider.on_observation| to be called by Hypothesis, |PrimitiveProvider.add_observability_callback| must be set to ``True``. |PrimitiveProvider.on_observation| is explicitly opt-in, as enabling observability might increase runtime or memory usage. Calls to this method are guaranteed to alternate with calls to |PrimitiveProvider.per_test_case_context_manager|. For example: .. code-block:: python # test function starts per_test_case_context_manager() on_observation() per_test_case_context_manager() on_observation() ... # test function ends Note that |PrimitiveProvider.on_observation| will not be called for test cases which did not use this provider during generation, for example during |Phase.reuse| or |Phase.shrink|, or because Hypothesis switched to the standard Hypothesis backend after this backend raised too many |BackendCannotProceed| exceptions. Nr)rrs rGon_observation PrimitiveProvider.on_observationgrlabelcg)apMarks the beginning of a semantically meaningful span of choices. Spans are a depth-first tree structure. A span is opened by a call to |PrimitiveProvider.span_start|, and a call to |PrimitiveProvider.span_end| closes the most recently opened span. So the following sequence of calls: .. code-block:: python span_start(label=1) n1 = draw_integer() span_start(label=2) b1 = draw_boolean() n2 = draw_integer() span_end() f1 = draw_float() span_end() produces the following two spans of choices: .. code-block:: 1: [n1, b1, n2, f1] 2: [b1, n2] Hypothesis uses spans to denote "semantically meaningful" sequences of choices. For instance, Hypothesis opens a span for the sequence of choices made while drawing from each strategy. Not every span corresponds to a strategy; the generation of e.g. each element in |st.lists| is also marked with a span, among others. ``label`` is an opaque integer, which has no defined semantics. The only guarantee made by Hypothesis is that all spans with the same "meaning" will share the same ``label``. So all spans from the same strategy will share the same label, as will e.g. the spans for |st.lists| elements. Providers can track calls to |PrimitiveProvider.span_start| and |PrimitiveProvider.span_end| to learn something about the semantics of the test's choice sequence. For instance, a provider could track the depth of the span tree, or the number of unique labels, which says something about the complexity of the choices being generated. Or a provider could track the span tree across test cases in order to determine what strategies are being used in what contexts. It is possible for Hypothesis to start and immediately stop a span, without calling a ``draw_*`` method in between. These spans contain zero choices. Hypothesis will always balance the number of calls to |PrimitiveProvider.span_start| and |PrimitiveProvider.span_end|. A call to |PrimitiveProvider.span_start| will always be followed by a call to |PrimitiveProvider.span_end| before the end of the test case. |PrimitiveProvider.span_start| is called from ``ConjectureData.start_span()`` internally. Nr)rrs rG span_startPrimitiveProvider.span_startrrdiscardcg)alMarks the end of a semantically meaningful span of choices. ``discard`` is ``True`` when the draw was filtered out or otherwise marked as unlikely to contribute to the input data as seen by the user's test. Note however that side effects can make this determination unsound. |PrimitiveProvider.span_end| is called from ``ConjectureData.stop_span()`` internally. Nr)rrs rGspan_endPrimitiveProvider.span_endrrrrINN)/rrrr__doc__rr r3rrboolrr rabcabstractmethodrRrintrrmathinfrCOLLECTION_DEFAULT_MAX_SIZEr*rrrrrrr/rtuplerrr rrrrr,rrr rrrrGr5r5msP%4Hhy!3).x~-276"x0@'A"" " " ""( !% $" ,0 ":":" c5j!D( "  " ""8 !HH988 "" "  " %* " ""2  3 "" "  " ""* 3"""  """(/E("8=Q& eGSL&9 d 4S> $  / " " *=" $" H8 8 48 t    D  rc ^\rSrSrSrS\S4U4Sjjr\S5rSS.S \ S \ S \ S \S 4Sjjr S+S \ S \ 4SjjrS,SSS.S\S-S\S-S\\\ 4S-S\S \4 Sjjjr\R&*\R&SS.S\ S\ S\ S\ S \ 4 SjjrS\S.S\S\S \S \4S!jjrS\4S\S \S \4S"jjrS \ 4S#jrS \4S$jrSS%.S&\S'\S(\ S \4S)jjrS*rU=r$)-HypothesisProviderir1rr-c>[TU]U5 URcSUlgURRUlgrP)superrr_randomrr __class__s rGrHypothesisProvider.__init__s0 (#xx/t TXX5E5E rc[5$rP)rrs rGr#HypothesisProvider._local_constantss $%%r皙?r choice_type constraintsrrr.c<^URceUS:wdeURR5U:agURceU[UT54nU[;a][ U4Sj[ RU555[ U4SjURRU5554[U'[UupVU(aU/O/U(aU/O/-nU(dgURRU5nURRU5$)Nbooleanc3N># UHn[UT5(dMUv M g7frPrrEchoicer#s rGrH:HypothesisProvider._maybe_draw_constant..s$"L' <F"L% %c3N># UHn[UT5(dMUv M g7frPr'r(s rGrHr*s$"Q' <F"Qr+) rrandomrrr9rGLOBAL_CONSTANTS set_for_typer)) rr"r#rrglobal_constantslocal_constantsconstants_lists constantss ` rG_maybe_draw_constant'HypothesisProvider._maybe_draw_constants||'''i''' <<   1 $$$0002; LM o %"2"?"? "L "&"7"7"D"D["Q $OC -W^^-=>G ..*Cax11)GG=q) )  !2//1 1  ( ((ME#!=!=!??#L  ( ((ME#!=!=!??#L)))??rTrrrc<URceUUUUS.nURSUSS9=nb[U[5(deU$SS[R [R *[R [R *[[*U[U5US-US- [U5U4Vs/sHn[Xu5(dMUPM nnU(a9URR5S:aURRU5$[UUUUS 9n UR5n U(a[R"U 5(aU n OU "U 5n [!U 5[!U 5:wa$[R"U 5(aU(dU n U $s snf) N)rrrrrRg333333?r!rJgrBr rr)rr4rQrRrrnanr%r)r(rr-r)r' _draw_floatisnanr&) rrrrrr#rBrS weird_floatsclamperresultclampeds rGrHypothesisProvider.draw_floatcs||'''#""*D ) 11';$1O OH h.. ..O   "A A )$   /#   * DLL//1D8<<&&|4 4$  'A  !!# F++GfoG  L$8 8 JJv  9F Q s 2F FrrrrcURceURce[U5S:XagURSXUS.5=nb[ U[ 5(deU$[ [US-US-5SX#--5n/n[URUUUSS 9nUR5(a[U5S :a\URS 5(a)URRS [U5S - 5nOEURRSS 5nO(URRS[U5S - 5nURURU55 UR5(aMSRU5$)Nrstring)rrrr<r=rIFrr average_sizer:g?rB)rrrr4rQrr<r;r!morerrandintrchar_in_shrink_orderjoin) rrrrrBrVcharselementsis rGrHypothesisProvider.draw_stringsvxx###||''' y>Q 11'8T H   h,, ,,O 1 hl + 8& '  HH%  mmoo9~#$$S)) ,,S#i.12DEA ,,Q4ALL((C NQ,>? LL77: ;mmoowwu~rcURceURceURSXS.5=nb[U[5(deU$[ 5n[ [US-US-5SX--5n[URUUUSS9nUR5(a4X@RRS5- nUR5(aM4[ U5$) Nrrr<r=rIFrUrB) rrr4rQr bytearrayr<r;r!rY randbytes)rrrrBbufrVr^s rGrHypothesisProvider.draw_bytess xx###||'''11hE H   h.. ..Ok 1 hl + 8& '  HH%  mmoo <<))!, ,CmmooSzrcURce[URRS55nURRS5(aSOSnX!-$)N@rB)rr getrandbits)rrSsigns rGrKHypothesisProvider._draw_floatsM||''' 11"5 6LL,,Q//qRxrcURceURce[[R"UR5nURR U5nUS-nUS-nU(aU*nU$)NrB)rrrrr?ri)rsizerrjs rGrA*HypothesisProvider._draw_unbounded_integersqxx###||'''*11$((;< LL $ $T *1u a Ar) vary_sizelowerupperrpcX::deURceURceX:XaU$X!- R5nUS:aU(aURR5S:ab[R "UR5n[ U[U5n[ X!SU--S- 5nURRX5$URRX5$)NrKg?r<rB) rr bit_lengthr-rr?r<rrZ)rrqrrrpbitsrEcap_bitss rGr@(HypothesisProvider._draw_bounded_integer s~~xx###||''' >L ))+ "9t||':':'[TU]U5 X lSUl[ 5Ulg)Nr)rrr~indexrbdrawn)rrr~rs rGrBytestringProvider.__init__.s' ($ [ rcUS:Xag[U5nURU-[UR5:aURR 5 [ URURURU-5nU=RU- slUS==[US--ss'[U5nU=RU- sl [U5$Nrr{) rrrr~r mark_overrunrb BYTE_MASKSrrr)rrFn_bytesrds rG _draw_bitsBytestringProvider._draw_bits6s 6" :: #doo"6 6 HH ! ! # TZZ'5IJK g  A*QU##Cj c c""rrrcUS::agUS:agSnSU-n[S[R"USU- -55nURU5nXT:$)NrFrBTr{r<)r;rfloorr)rrrurmfalseyrFs rGrBytestringProvider.draw_booleanDs] 6 6 $wQ 41q5>23 OOD !{rNrrrrrrc<URceUcUcSS-*nSS-S- nOUc UceUS- nO Uc UceUS-nX:XaU$X!- R5nURU5nXs=::aU::d&O URU5nXs=::a U::dMU$ N$U$)Nr<rBl)rrtr)rrrrrrurs rGrBytestringProvider.draw_integerXsxx###  !2S& I3 I  ( ((!E)I  ( ((!E)I  ! %113%22OOD)E22 3 rTrrrcURS5nUS- (aSOSnU[US-5-n[UUUUS9nU"U5$)NrgrhrBlrI)rrr') rrrrrrFrjrSrNs rGrBytestringProvider.draw_floatxsU OOB "Wr! <] 34 4$  'A   qzrc[[US-US-5SX--5n[URUUUSS9n/nUR 5(a;UR UR SUS- 55 UR 5(aM;U$)Nr<r=rIFrUrrB)r<r;r!rrYrr)rrr alphabet_sizerVr^r>s rG_draw_collection#BytestringProvider._draw_collections 1 hl + 8& '  HH%  mmoo MM$++A}q/@A Bmmoo rrrrrcl^URX#[T5S9nSRU4SjU55$)NrrSc3@># UHn[TU5v M g7frP)chr)rEvrs rGrH1BytestringProvider.draw_string..s9&Qs9Q<((&s)rrr\)rrrrr>s ` rGrBytestringProvider.draw_strings3&&xY&Xww9&999rc8URXSS9n[U5$)NrWr)rr)rrrr>s rGrBytestringProvider.draw_bytess# &&x&NV}r)r~rrr r )rrrrrr rrrrRrrrrrrrrrrr*rrrrryrzs@rGr}r}+sWH!&'78!LQ! #   ,!% $ ,0 :: c5j!D(    F!HH988     %*  &*3 :: :  : :3  rr}cP\rSrSr\S\S\4Sj5rS\S\4SjrS\ 4Sjr Sr g ) URandomirmrcr[SS5nURU5sSSS5 $!,(df  g=f)Nz /dev/urandomrb)openread)rmrSs rG_urandomURandom._urandoms% .$ '166$<( ' 's( 6kcpUS:de[U5n[URU55nX2S-U- - $r)rrr)rrrmrFs rGriURandom.getrandbitss;Av vQ 4==. /AX\""rcB[URS55S- S-$)Ng<)rrrs rGr-URandom.randoms t}}Q/0A5&AArrN) rrrr staticmethodrrrrirRr-rrrrGrrsE s u  #S#S#BBrrc6^\rSrSrS\S4U4SjjrSrU=r$)URandomProviderirr-c>[TU]U5 [(a[R"S[ SS9 g[ 5Ulg)Nzx/dev/urandom is not available on windows. Falling back to standard PRNG generation (equivalent to backend="hypothesis").rB) stacklevel)rrrwarningswarnrrrrs rGrURandomProvider.__init__s8 ( 7 MMQ!  #9DLrrx)rrrrr rrryrzs@rGrrs %x0@'A % %rr)grrrrrcollections.abcrrr functoolsrr-rrtypingr r r r r rrrsortedcontainersrhypothesis.errorsrhypothesis.internal.cacherhypothesis.internal.compatrr%hypothesis.internal.conjecture.choicerrrrrr%hypothesis.internal.conjecture.floatsr)hypothesis.internal.conjecture.junkdrawerr$hypothesis.internal.conjecture.utilsrrr r!!hypothesis.internal.constants_astr"r#r$hypothesis.internal.floatsr%r&r'r(r) hypothesis.internal.intervalsetsr*!hypothesis.internal.observabilityr+r,#hypothesis.internal.conjecture.datar-r.r/r3rrr6rrrrr7r8r9range factorial_constants_integersextendallr<r;_constant_floats_constant_stringsr.rsetrrrrrrABCr5rrr}rr)rFxs00rGrs*  $=%   '/.>?C  9VB; CL;< 9<$\PTCT#sT*=%>>>? [%S/9: 9:u%56>N8OOP YP4i>B&&"i"a a H Q2*Q2l %*!H -HqqAvlH -  1 A*AHBfB*%(%C""#/)+O<2,:6p.s<.M2 M7(M<N0N  N /NN4 N6N