df?RUddlmZddlmZddlmZddlmZddlmZm Z m Z m Z ddl Z ddlmZmZmZddlmZd d lmZd d lmZmZerd d lmZdhZddhZhdZddheZheeddddZheeZ heeZ!heeZ"heeZ#heeZ$heeZ%heeZ&heeZ'eZ(heeZ)heeZ*heeZ+dhZ,hdZ-dZ.dddddge.Z/d Z0ee1Z2d!e3d"<eD]Z4e2e4jke.e D]Z4e2e4jkd#e!D]Z4e2e4jkd$e"D]Z4e2e4jkd%e#D]Z4e2e4jkd&e$D]Z4e2e4jkd'e%D]Z4e2e4jkd(e&D]Z4e2e4jkd)e'D]Z4e2e4jkd*e)D]Z4e2e4jkd+e*D]Z4e2e4jkd,e+D]Z4e2e4jkd-ge.e/e0d.d/D]Z6e2djoe6e,D]Z4e2e4jkd0e-D]Z4e2e4jkd1e(D]Z4e2e4jkd2d9d3Z8d:d4Z9d;d5Z:dd8Z=y)?) annotations) defaultdict)copy)partial) TYPE_CHECKINGAnyCallableIterableN) CoreSchemaPydanticCustomErrorto_jsonable_python) core_schema) _validators)PydanticGeneralMetadataPydanticMetadata)GetJsonSchemaHandlerstrict min_length max_length>gegtlelt multiple_of allow_inf_nanstrip_whitespaceto_lowerto_upperpattern union_mode>r default_host default_path default_port host_requiredallowed_schemes)strbytesurlmulti-host-urllisttupleset frozenset generator)floatintdatetime timedeltadatetimezdict[str, set[str]]CONSTRAINTS_TO_ALLOWED_SCHEMAS)r))r,)r-)r.r/)dict)r0)r1)r2)r3r4r6)r5)r4z typed-dictmodel)union)r*r+)boolctdfd }d|vr%|d}d|vr|dj|y|g|d<yd|gi|d<y)NcD||}|j|SN)update)shandler js_schemafs e/home/api-vastappli/venv/lib/python3.12/site-packages/pydantic/_internal/_known_annotated_metadata.pyupdate_js_schemaz.add_js_update_schema..update_js_schema[s"AJ metadatapydantic_js_functions)r@ cs.CoreSchemarArreturndict[str, Any])append)r@rCrErGs ` rDadd_js_update_schemarMZsW QZ= "a ' , - 4 45E F1A0BH, -03C2DE* rFc |t|ttttt tdfvr t |S|Sr>)typer2r(r1r)r;r )vs rDas_jsonable_valuerQjs/ AwsCtT$Z@@!!$$ HrFc#Kddlm}|D]b}t|tjr |Ed{(t||r+|j Ed{t |}g|_|_|dy7C7$w)aExpand the annotations. Args: annotations: An iterable of annotations. Returns: An iterable of expanded annotations. Example: ```py from annotated_types import Ge, Len from pydantic._internal._known_annotated_metadata import expand_grouped_metadata print(list(expand_grouped_metadata([Ge(4), Len(5)]))) #> [Ge(ge=4), MinLen(min_length=5)] ``` r) FieldInfoN)pydantic.fieldsrS isinstanceatGroupedMetadatarGr)rrS annotations rDexpand_grouped_metadatarYpss&*! j""4"4 5! ! !  I .!** * * j)J"$J    ! *s!+A5A1 A5A3#A53A5c |j}tg\}}|d}|jD]r\} |tvrt d|t|}||vr|dk(r |dk(r |d<n ||<@|dk(r* dur&t j tj|cS|dk(r-t j|t j gcS|d k(rBt j ttj |}t| fd |cS|d k(r1t j ttj |cS|dk(r1t j ttj |cS|dk(r1t j ttj |cS|dk(r1t j ttj" |cS|dk(rBt j ttj$ |}t| fd|cS|dk(rBt j ttj& |}t| fd|cS|dk(r-t j|t jdgcS|dk(r-t j|t jdgcS|d k(r-t j|t jd!gcS|dk(r;t j ttj$j(|cS|dk(r;t j ttj&j*|cSt-d"|d#||D]t/t0j2r;t j ttjj4 |cSt/t0j6r;t j ttjj8|cSt/t0j:r;t j ttjj<|cSt/t0j>r;t j ttj j@|cSt/t0jBr;t j ttj"jD|cSt/t0jFr;t j ttj$j(|cSt/t0jHr;t j ttj&j*|cSt/t0jJrPtMjNd$rjNjPd%nd& d) fd' }t j ||cSy(|S)*a{Apply `annotation` to `schema` if it is an annotation we know about (Gt, Le, etc.). Otherwise return `None`. This does not handle all known annotations. If / when it does, it can always return a CoreSchema and return the unmodified schema if the annotation should be ignored. Assumes that GroupedMetadata has already been expanded via `expand_grouped_metadata`. Args: annotation: The annotation. schema: The schema. Returns: An updated schema with annotation if it is an annotation we know about, `None` otherwise. Raises: PydanticCustomError: If `Predicate` fails. rOzUnknown constraint r"r:moderFr!)r!r)rcdtiS)NrrQvaluesrDz&apply_known_metadata..sT3DU3K,LrFr)rr)rr)rr)rr)rcdtiS)N minLengthr]r^srDr`z&apply_known_metadata..[;LU;S,UrFr)rcdtiS)N maxLengthr]r^srDr`z&apply_known_metadata..rcrFrT)rr)rr )r zUnable to apply constraint z to schema __qualname__ cJj|stddd|S)Npredicate_failedz Predicate failed)funcr )rPrXpredicate_names rDval_funcz&apply_known_metadata..val_func7s3!q)-*$^$4F;rFNrPrrJr))rcollect_known_metadataitemsr7 ValueErrorcs no_info_after_validator_functionrforbid_inf_nan_check chain_schema str_schemargreater_than_validatorrMgreater_than_or_equal_validatorless_than_validatorless_than_or_equal_validatormultiple_of_validatormin_length_validatormax_length_validatorrr RuntimeErrorrUrVGtrGerLtrLer MultipleOfrMinLenMaxLen Predicatehasattrrlrf) rXschema schema_updateother_metadata schema_type constraintallowed_schemasr@rnrmr_s ` @@rDapply_known_metadatars&[[]F$:J<$H!M>.K*002bc E ; ;2:,?@ @8D / )\)kW.D!&v%*z"   (Ue^6600 9 $??MM%0  4 33 ::uEA !$L MH 4 66 CCN 4 66 77EB 4 66 @@UK = (66 99uM < '33 88UKA !$U VH < '33 88UKA !$U VH - -??MM48  : %??MM40  : %??MM40  < '66 88ZEZEZ[ < '66 88ZEZEZ[  !t|t jr|jd|j iwt|t j"r|jd|j$it|t j&r|jd|j(it|t*r`t-|t rP|jt/|j1Dcic]\}}|j3dr||c}}Y|j5|l|j1Dcic] \}}| || }}}||fScc}}wcc}}w) aSplit `annotations` into known metadata and unknown annotations. Args: annotations: An iterable of annotations. Returns: A tuple contains a dict of known metadata and a list of unknown annotations. Example: ```py from annotated_types import Gt, Len from pydantic._internal._known_annotated_metadata import collect_known_metadata print(collect_known_metadata([Gt(1), Len(42), ...])) #> ({'gt': 1, 'min_length': 42}, [Ellipsis]) ``` rrrrrrr_)rYrUrr?__dict__rrVrrrrrrrrrrrrrrrO issubclassvarsrq startswithrL)rres remainingrXkrPs rDrprpGs&*+6KCI!)  j"9 : JJz** +  $4 5 JJz** +  BII . JJ j&;&;< =  BII . JJ j&;&;< =  BEE * JJjmm, -  BEE * JJjmm, -  BEE * JJjmm, -  BEE * JJjmm, -  BMM 2 JJ z'='=> ?  D )jEU.V JJj)9)?)?)A[AVYIZ1[ \   Z (9)@ IIK 9DAq1=1a4 9C 9  >\ :sJ) J)  J/J/c |jt|z }|r/td|ddj|Dcgc]}|c}ycc}w)aA small utility function to validate that the given metadata can be applied to the target. More than saving lines of code, this gives us a consistent error message for all of our internal implementations. Args: metadata: A dict of metadata. allowed: An iterable of allowed metadata. source_type: The source type. Raises: TypeError: If there is metadatas that can't be applied on source type. z/The following constraints cannot be applied to z: z, N)keysr. 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