ij#SrSSKJr SSKJrJrJrJrJr SSK r SSK r SSK J r J r SSKJr SSKJrJrJr SSKJr SS KJr S S KJr \(aS S KJr SS jrSSjrSSjrSrS S!Sjjr S S!Sjjr!S"Sjr""SS5r#"SS5r$\$"5r%\"\"SSSS9S9r&SSSSS.S#Sjjr'g)$zUtility functions for options.) annotations)OptionalUnionCallable TYPE_CHECKINGAnyN) is_dataclassasdict)Real) ConfigDictValidationInfofield_validator) dataclass)Backend) is_simulator) BaseOptionscB[U5nURS5c7U(a,URS05RS5(dSUS'OX S'URS5c8U(a-URS05RS5(dSUS'U$X0S'U$)agSet default resilience and optimization levels. Args: options: user passed in options. backend: backend the job will run on. default_optimization_level: the default optimization level from the options class default_resilience_level: the default resilience level from the options class Returns: options with correct error level defaults. optimization_level simulator noise_modelresilience_levelr)rget)optionsbackenddefault_optimization_leveldefault_resilience_levelis_sims Z/home/james-whalen/.local/lib/python3.13/site-packages/qiskit_ibm_runtime/options/utils.pyset_default_error_levelsr!"s"' "F{{'(0 '++k26::=II,-G( ),F( ){{%&. '++k26::=II*+G& ' N+C& ' Nc[UR55H@up[U[5(aX M[U[5(dM5[ U5 MB g)zRemove Unset values.N)listitems isinstance UnsetTypedictremove_dict_unset_valuesin_dictkeyvals r r)r)Cs@) c9 % % T " " $S ) *r"c[UR55H9up[U[5(dMU(a [ U5 U(aM7X M; g)zRemove empty dictionaries.N)r$r%r&r(remove_empty_dictr*s r r/r/Ls;) c4 !#&3L *r"cUcU"5$[X5(aU$[U[5(aU"S0UD6$[US[U5SUS35e)Nz has an unspported type z. It can only be z or a dictionary.)r&r( TypeErrortype)cls_datas r _to_objr6Vsa |v $ $|d|  &(d 4EdVK\] r"c2^SSU4Sjjjm[U5(a [U5nO7[U[5(a[R "U5nO [ S5eU(dU$[R "U5nT"X#5 URU5 U$)zMerge current options with the new ones. Args: new_options: New options to merge. Returns: Merged dictionary. Raises: TypeError: if input type is invalid. c>U(dU(dgU=(d 0nUR5Hup4[U[5(aURU05nT"XAU5 M7X1R 5;aURU5X'M_X2R 5;dMtURU5X'M UR5H up4X@U'M UR 5 gN)r%r&r(popkeysclear)oldnewmatchedr,r- new_matched_update_optionss r rA&merge_options.._update_optionsqs7 -R HC#t$$!ggc2. +6 "773< &";;s+$ HCH(  r"4'old_options' can only be a dictionary or dataclass.r9)r=r(r>r(r?Optional[dict]returnNone)r r r&r(copydeepcopyr2update old_options new_optionscombinednew_options_copyrAs @r merge_optionsrObs*K  +& K & &==-NOO }}[1H/ OO$% Or"c ^SU4Sjjm[U5(a [U5nO7[U[5(a[R "U5nO [ S5eU(dU$[R "U5nT"X#5 U$)aLMerge current options with the new ones for V2 primitives. Unlike ``merge_options``, this function does not attempt to merge values of the same keys from different nesting levels. For example, if ``old_options`` is ``{"nested_foo": {"foo": "bar1"}}`` and ``new_options`` is ``{"foo": "bar2"}``, then ``merge_options()`` would return {'nested_foo': {'foo': 'bar2'}} but ``merge_options_v2()`` would return ``{'nested_foo': {'foo': 'bar1'}, 'foo': 'bar2'}``. Args: new_options: New options to merge. Returns: Merged dictionary. Raises: TypeError: if input type is invalid. cZ>U(dgUR5H[up#X!R5;dM[U[5(aT"X1R U55 MHUR U5X'M] [ UR55HnUR U5X'M gr9)r%r;r&r(r:r$)r=r>r,r-rAs r rA)merge_options_v2.._update_optionss{  HChhj c4((#C6"wws|CH $ #Cwws|CH$r"rC)r=r(r>r(rErF)r r r&r(rGrHr2rJs @r merge_options_v2rSsj0$ K  +& K & &==-NOO }}[1H/ Or"cJ^[R"T5SU4Sjj5nU$)z"Decorator used to skip unset valuecJ>[U[5(aU$T"X/UQ70UD6$r9)r&r')clsr-argskwargsfuncs r wrapper&skip_unset_validation..wrappers* c9 % %JC.t.v..r") rVrr-rrWrrXrrEr) functoolswraps)rYrZs` r skip_unset_validationr^s'__T// Nr"c\rSrSrSrSrg)DictzFake Dict type. This class is used to show dictionary as an acceptable type in docs without attaching all the dictionary attributes in Jupyter's auto-complete. r1N)__name__ __module__ __qualname____firstlineno____doc____static_attributes__r1r"r r`r`s   r"r`cD^\rSrSrSrSSjrSU4SjjrS SjrSrU=r $) r'z'Class used to represent an unset field.cg)NUnsetr1selfs r __repr__UnsetType.__repr__sr"cf>[US5(d[TU] U5UlUR$)N _instance)hasattrsuper__new__rq)rV __class__s r rtUnsetType.__new__s*sK((!GOC0CM}}r"cg)NFr1rls r __bool__UnsetType.__bool__sr"r1)rEstr)rEz 'UnsetType')rEbool) rbrcrdrerfrnrtrxrg __classcell__)rus@r r'r's1 r"r'Tforbid)validate_assignmentarbitrary_types_allowedextra)config)gegtleltcd^^^^[USS06[[SUUUU4Sjj555nU$)a=Make a field validator that performs the give constraint if the value is numeric. This differs to the one built-in to ``pydantic.Field`` in that it ignores non-Real types, which lets us apply this to fields with annotations like ``int | Literal["auto"]``. Args: field_names: The field names to check. ge: A number the value must be greater than or equal to. gt: A number the value must be strictly greater than. le: A number the value must be less than or equal to. lt: A number the value must be strictly less than. Returns: A new field validator. modebeforec >[U[5(aTb1UT:a+[URSURSTSUS35eTb1UT::a+[URSURSTSUS35eTb1UT:a+[URSURSTSUS35eTb1UT:a+[URSURSTSUS35eU$)N.z must be >=z , but is ==z must be >z must be <=z must be <)r&r ValueErrorrb field_name)rVvaluevalidation_inforrrrs r validator,make_constraint_validator..validators) eT " "~52: ||nAo&@&@%ARDP[\a[bbcd~5B; ||nAo&@&@%AB4{[`Zaabc~52: ||nAo&@&@%ARDP[\a[bbcd~5B; ||nAo&@&@%AB4{[`Zaabc r")rVrrrrr rEr)r classmethodr^)rrrr field_namesrs```` r make_constraint_validatorrs>(k112( r") rr(rrrintrrrEr()r+r(rErFr9)rKzUnion[dict, 'BaseOptions']rLrDrEr()rYrrEr) rrzr Real | NonerrrrrrrEr)(rf __future__rtypingrrrrrr\rG dataclassesr r numbersr pydanticr r rpydantic.dataclassesrqiskit.providers.backendr utils.utilsroptions.optionsrr!r)r/r6rOrSr^r`r'rkprimitive_dataclassrr1r"r rsH%"@@ ,@@*,&-  !$"   B*! LP5+5:H5 5rLP5+5:H5 5p        $T\ ] +++ +  +  +  +r"