ci ddlZddlmZddlmZddlmZmZm Z m Z m Z m Z m Z mZmZmZmZmZmZmZmZmZddlmZddlmZddlmZdd lmZerdd lmZdd lm Z m!Z!dd l"m#Z#ed Z$edee%efZ&Gddee$Z'edee%e&fddfdZ(eddZ(ede'e$de$fdZ(edde%deddfdZ( ddee%de'e$ee%e&ffdedede$ffdZ(GddeZ)Gdde)Z*Gdd e)Z+Gd!d"e)Z,Gd#d$e)Z-Gd%d&e)Z.Gd'd(e)Z/Gd)d*e)Z0Gd+d,e)Z1Gd-d.e)Z2Gd/d0e)Z3Gd1d2e)Z4Gd3d4e)Z5Gd5d6e)Z6Gd7d8e)Z7Gd9d:e)Z8Gd;de)Z:Gd?d@e)Z;GdAdBe)Z<GdCdDe)Z=GdEdFe)Z>GdGdHe)Z?e?Z@GdIdJe)ZAGdKdLe)ZBGdMdNe)ZCGdOdPe)ZDGdQdRe)ZEGdSdTe)ZFGdUdVe)ZGGdWdXe)ZHGdYdZe)ZIGd[d\e)ZJGd]d^e)ZKGd_d`e)ZLGdadbe)ZMGdcdde)ZNGdedfe)ZOGdgdhe)ZPGdidje)ZQGdkdle)ZRGdmdne)ZSGdodpe)ZTGdqdre)ZUGdsdte)ZVGdudve)ZWGdwdxe)ZXGdydze)ZYGd{d|e)ZZGd}d~e)Z[Gdde)Z\Gdde)Z]Gdde)Z^Gdde)Z_Gdde)Z`Gdde)ZaGdde)ZbGdde)ZcGdde)ZdGdde)ZeGdde)ZfGdde)ZgdS)N)deepcopy)chain) TYPE_CHECKINGAnyCallableClassVarDictListLiteralMappingMutableMappingOptionalProtocolSequenceTypeVarUnioncastoverload)DEFAULT)SF) ScoreFunction)DslBase) DefaultType)typeswrappers)InstrumentedField_T_M)boundceZdZUeed<dS)QProxiedProtocol_proxiedN)__name__ __module__ __qualname__r__annotations__W/var/www/html/auto_sub_bot/venv/lib/python3.11/site-packages/elasticsearch/dsl/query.pyr"r":sLLLLLr)r" name_or_queryreturnQuerycdSNr(r+s r*Qr1>s:=#r)cdSr/r(r0s r*r1r1Bs*-#r)cdSr/r(r0s r*r1r1Fs25#r) match_allparamsc dSr/r()r+r5s r*r1r1JsCF3r)c .t|tjjr{|rt dt |dkrt d|zt |\}}t |dddi|St|tr|rt d|St|dr%ttt|jSt |di|S) Nz4Q() cannot accept parameters when passing in a dict.rzTQ() can only accept dict with a single query ({"match": {...}}). Instead it got (%r)_expand__to_dotFz>$'' '$''''r)c$t|gS)Nmust_not)rLrNs r* __invert__zQuery.__invert__sdV$$$$r)cpt|dr||St||gS)NrEshould)r@rErLrMs r*__or__z Query.__or__s= 5) $ $ '==&& &D%=))))r)cpt|dr||St||gS)NrGrJ)r@rGrLrMs r*__and__z Query.__and__rPr)rHr-r,r-)r,r-)r$r%r& _type_name staticmethodr1_type_shortcutrArrstrr'rrOrUrYr[r(r)r*r-r-ssJ!\!__N$(D(8C= !(((h17:; <<<<x' 2G ;<====x' 2G ;<====((((%%%%****((((((r)ceZdZdZdZdddddddddddddZeeeeeeeddeee ed fd ee e d fd eee ed fd eee ed fd eee ed fdee d fdee d fde ffdZdeddfdZeZdedefdZeZede fdZdefdZdedefdZeZxZS)rLa% matches documents matching boolean combinations of other queries. :arg filter: The clause (query) must appear in matching documents. However, unlike `must`, the score of the query will be ignored. :arg minimum_should_match: Specifies the number or percentage of `should` clauses returned documents must match. :arg must: The clause (query) must appear in matching documents and will contribute to the score. :arg must_not: The clause (query) must not appear in the matching documents. Because scoring is ignored, a score of `0` is returned for all documents. :arg should: The clause (query) should appear in the matching document. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: boolrDTtypemulti)filterrKrSrXrfminimum_should_matchrKrSrXboost_namerfrrhrKrSrXrirjkwargsc Jtjd|||||||d|dS)Nrgr(super__init__) rNrfrhrKrSrXrirjrk __class__s r*roz Bool.__init__sS  !5  r)rHr,c6|}t|trU|xj|jz c_|xj|jz c_|xj|jz c_|xj|jz c_n|j||Sr/)_cloner9rLrKrXrSrfappendrNrHqs r*rOz Bool.__add__s KKMM eT " " ! FFej FF HH $HH JJ%. (JJ HH $HHH FMM% r)c ||fD]}t|trt|j|j|jt |ddfs||ur|n|}|}t|trQt|j|j|jt |ddfs |j |jn|j ||cSt||gS)NrhrW) r9rLanyrKrSrfgetattrrrrXextendrsrts r*rYz Bool.__or__s   A!T"" 3QXwq:PRV/W/WX,, !"U HHJJeT** +3  '=tDD 44 +HOOEL1111HOOE***D%=))))r)cRt|d|jr|js|jrdndS)Nrhrr)rxrXrKrfrTs r*_min_should_matchzBool._min_should_matchs6  "[ ETY E$+ EAAA   r)ctt|j|j|j|jst Sg}t|j|jD]}|||jD]}|||jr7|jr0|t|jddt|dkr|dSt|S)NrRrrrW) rwrrKrfrXrS MatchNonersr{rLr=)rN negationsrus r*rUzBool.__invert__s5DKdmLLMM ;; !# ty$+.. ! !A   aR   A   Q     ; <41 <   T4;qqq>::: ; ; ; y>>Q  Q< 9%%%%r)cr|}t|trB|xj|jz c_|xj|jz c_|xj|jz c_g|_d|jvr|jd=||fD]}|j}t|tr|dkrtdt|j|kr |j |jk|js||_ |j|_|jdkr&|dkr |j |j|jt|j|nJ|js)|js"|jr|jdd|j||S)NrhrzNCan only combine queries with positive integer values for minimum_should_match)rXrhr)rrr9rLrKrSrfrX_paramsr{intr<r=ryrhrs setdefault)rNrHruqxmin_should_matchs r*r[z Bool.__and__ s KKMM eT " "$ ! FFej FF JJ%. (JJ HH $HHAH&22I45Um  #%#7 ""2C88>%555FMM"),,,, -=A*!yAHH(A--2Ba2G2GHOOBI....FMMBIDTUUU) 0F @ah @AH @ $$%;Q??? FMM% r))r$r%r&__doc__rA _param_defsrrr-rrr`floatrrorOrFrYrEpropertyr{rUr[rG __classcell__rps@r*rLrLs , D"T22 400$t44"T22 K@G?F=DAH?F-4+2   eXe_m;< $Cm$;<  E8E?M9:  x =>  eXe_m;< UM)* S-'(       . U v    H*E*e****,G  3   X &E&&&&('U'u''''RHHHHHr)rLc eZdZdZdZddiddidZeeeeeddeedfd ee dfd ee dfd eedfd ee dfd e f fdZ xZ S)BoostingaZ Returns documents matching a `positive` query while reducing the relevance score of documents that also match a `negative` query. :arg negative_boost: (required) Floating point number between 0 and 1.0 used to decrease the relevance scores of documents matching the `negative` query. :arg negative: (required) Query used to decrease the relevance score of matching documents. :arg positive: (required) Any returned documents must match this query. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: boostingrdrD)negativepositivenegative_boostrrrirjrrrrrirjrkc Ftjd|||||d|dS)Nrr(rm)rNrrrrirjrkrps r*rozBoosting.__init__SsM  )         r))r$r%r&rrArrrrr-r`rrorrs@r*rr9s& DW%W%K7>0707-4+2   e]23 },-  },-  UM)*  S-'(           r)rc neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) Commonzf :arg _field: The field to use in this query. :arg _value: The query value for the field. common_fieldrr_valueztypes.CommonTermsQueryrkc p|tur||t|<tjdi|dSNr(rr`rnrorNrrrkrps r*rozCommon.__init__oC  "(F3v;; ""6"""""r) r$r%r&rrArrr`r rrorrs@r*rrgs DBI  # #c. => # $d38nm C  #  # # # # # # # # # #r)rceZdZdZdZeeeeeeeeddeeeedfdfdeedfdee dfd ee d dfd ee edfd ee d dfdee dfdeedfde ffdZxZS)CombinedFieldsa The `combined_fields` query supports searching multiple text fields as if their contents had been indexed into one combined field. :arg fields: (required) List of fields to search. Field wildcard patterns are allowed. Only `text` fields are supported, and they must all have the same search `analyzer`. :arg query: (required) Text to search for in the provided `fields`. The `combined_fields` query analyzes the provided text before performing a search. :arg auto_generate_synonyms_phrase_query: If true, match phrase queries are automatically created for multi-term synonyms. Defaults to `True` if omitted. :arg operator: Boolean logic used to interpret text in the query value. Defaults to `or` if omitted. :arg minimum_should_match: Minimum number of clauses that must match for a document to be returned. :arg zero_terms_query: Indicates whether no documents are returned if the analyzer removes all tokens, such as when using a `stop` filter. Defaults to `none` if omitted. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: combined_fieldsfieldsrD#auto_generate_synonyms_phrase_queryoperatorrhzero_terms_queryrirjrrrrDrr)orandrhr)noneallrirjrkc Ltjd||||||||d| dS)Nrr(rm) rNrrDrrrhrrirjrkrps r*rozCombinedFields.__init__sV  0S!5-  r))r$r%r&rrArrrr`rbr rrrrorrs@r*rr|s;8 D +2JQ?F?FIP-4+2    U3 334 5} D  S-'(  .343F-G  ,m;< $Cm$;<   6 EF UM)* S-'(           r)rc ~eZdZdZdZdddiiZeeeddeedfdee dfd ee dfd e ffd Z xZ S) ConstantScorea Wraps a filter query and returns every matching document with a relevance score equal to the `boost` parameter value. :arg filter: (required) Filter query you wish to run. Any returned documents must match this query. Filter queries do not calculate relevance scores. To speed up performance, Elasticsearch automatically caches frequently used filter queries. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: constant_scorerfrdrDrfrirjrrirjrkc Btjd|||d|dS)Nrr(rm)rNrfrirjrkrps r*rozConstantScore.__init__1 Ke5KKFKKKKKr)r$r%r&rrArrrr-rr`rrorrs@r*rrs D67#K/6-4+2 LLLe]*+LUM)* L S-'( L  LLLLLLLLLLr)rc eZdZdZdZddddiZeeeeddeee dfd ee dfd ee dfd ee dfd e f fd Z xZS)DisMaxa- Returns documents matching one or more wrapped queries, called query clauses or clauses. If a returned document matches multiple query clauses, the `dis_max` query assigns the document the highest relevance score from any matching clause, plus a tie breaking increment for any additional matching subqueries. :arg queries: (required) One or more query clauses. Returned documents must match one or more of these queries. If a document matches multiple queries, Elasticsearch uses the highest relevance score. :arg tie_breaker: Floating point number between 0 and 1.0 used to increase the relevance scores of documents matching multiple query clauses. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: dis_maxqueriesrDTrcr tie_breakerrirjrrrirjrkc Dtjd||||d|dS)Nrr(rm)rNrrrirjrkrps r*rozDisMax.__init__sE  E  RX     r))r$r%r&rrArrrrr-rr`rrorrs@r*rrs* DGd33K:A3:-4+2    x 56  5-/0  UM)*  S-'(             r)rc eZdZdZdZeeeeeddededeeddfd ee dfd eedfd ef fd Z xZ S) DistanceFeaturea` Boosts the relevance score of documents closer to a provided origin date or point. For example, you can use this query to give more weight to documents closer to a certain date or location. :arg origin: (required) Date or point of origin used to calculate distances. If the `field` value is a `date` or `date_nanos` field, the `origin` value must be a date. Date Math, such as `now-1h`, is supported. If the field value is a `geo_point` field, the `origin` value must be a geopoint. :arg pivot: (required) Distance from the `origin` at which relevance scores receive half of the `boost` value. If the `field` value is a `date` or `date_nanos` field, the `pivot` value must be a time unit, such as `1h` or `10d`. If the `field` value is a `geo_point` field, the `pivot` value must be a distance unit, such as `1km` or `12m`. :arg field: (required) Name of the field used to calculate distances. This field must meet the following criteria: be a `date`, `date_nanos` or `geo_point` field; have an `index` mapping parameter value of `true`, which is the default; have an `doc_values` mapping parameter value of `true`, which is the default. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: distance_featureoriginpivotfieldrirjrrrrrrirjrkc Ftjd|||||d|dS)Nrr(rm)rNrrrrirjrkrps r*rozDistanceFeature.__init__"sG  e5  QW     r)) r$r%r&rrArrrr`rrorrs@r*rrs< D @G-4+2        S-}<=  UM)*  S-'(             r)rc teZdZdZdZeeeddeeddfdeedfdeedfd e ffd Z xZ S) Existsa Returns documents that contain an indexed value for a field. :arg field: (required) Name of the field you wish to search. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: existsrrirjrrrrirjrkc Btjd|||d|dS)Nrr(rm)rNrrirjrkrps r*rozExists.__init__@1 IuEII&IIIIIr) r$r%r&rrArrr`rrrorrs@r*rr1s   D AH-4+2 JJJS-}<=JUM)* J S-'( J  JJJJJJJJJJr)rceZdZdZdZdddddiddidZeeeeeeeed d eed d fd ee e d fdee d fdee d fdee d fdeedd fdee d fdee d fdeffdZxZS) FunctionScoreaS The `function_score` enables you to modify the score of documents that are retrieved by a query. :arg boost_mode: Defines how he newly computed score is combined with the score of the query Defaults to `multiply` if omitted. :arg functions: One or more functions that compute a new score for each document returned by the query. :arg max_boost: Restricts the new score to not exceed the provided limit. :arg min_score: Excludes documents that do not meet the provided score threshold. :arg query: A query that determines the documents for which a new score is computed. :arg score_mode: Specifies how the computed scores are combined Defaults to `multiply` if omitted. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: function_scorescore_functionTrcrdrD) functionsrDrf boost_moder max_boost min_scorerD score_moderirjr)multiplyreplacesumavgmaxminrrrrr)rrrfirstrrrirjrkc |tur?g}tjD]0} | | vr*|| | | i1t jd||||||||d| dS)Nrr()rr_classesrspoprnro) rNrrrrrDrrirjrkrArps r*rozFunctionScore.__init__ks"   I%. ? ?6>>$$dFJJt,<,<%=>>> !!  r))r$r%r&rrArrrr rrrr-r`rrorrs@r*rrKs\0 D.>>'"7#K CJ1818-4 -4+2     E F U   -0-?@   -.   -.  UM)*   C Dm S   UM)*  S-'(             r)rc neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) Fuzzyz Returns documents that contain terms similar to the search term, as measured by a Levenshtein edit distance. :arg _field: The field to use in this query. :arg _value: The query value for the field. fuzzyrrrrztypes.FuzzyQueryrkc p|tur||t|<tjdi|dSrrrs r*rozFuzzy.__init__C  "(F3v;; ""6"""""r)rrs@r*rr DBIKR##c. =>#($sCx.-GH# ##########r)rceZdZdZdZeefeeeeeddeeddfdedd d d eee fdfd ee d dfdee ddfdee dfdee dfdeedfde ffdZ xZS)GeoBoundingBoxa Matches geo_point and geo_shape values that intersect a bounding box. :arg _field: The field to use in this query. :arg _value: The query value for the field. :arg type: :arg validation_method: Set to `IGNORE_MALFORMED` to accept geo points with invalid latitude or longitude. Set to `COERCE` to also try to infer correct latitude or longitude. Defaults to `'strict'` if omitted. :arg ignore_unmapped: Set to `true` to ignore an unmapped field and not match any documents for this query. Set to `false` to throw an exception if the field is not mapped. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: geo_bounding_boxrdvalidation_methodignore_unmappedrirjrrrrztypes.CoordsGeoBoundsz!types.TopLeftBottomRightGeoBoundsz!types.TopRightBottomLeftGeoBoundsztypes.WktGeoBoundsrd)memoryindexedrcoerceignore_malformedstrictrrirjrkc ||tur||t|<tjd|||||d|dS)Nrr(r) rNrrrdrrrirjrkrps r*rozGeoBoundingBox.__init__sh*  "(F3v;;  /+         r)r$r%r&rrArrr`r rr rbrrorrs@r*rrs>* DBI  DK 6=-4+2%   c. =>  # / / cN     G/0-?@ ! : ;] J  t]23! "UM)*# $S-'(% &'          r)rc eZdZdZdZeefeeeeeeddeeddfdedd ee ee ee fdfd eedfd ee d dfd ee ddfdee dfdee dfdeedfde ffdZxZS) GeoDistanceaD Matches `geo_point` and `geo_shape` values within a given distance of a geopoint. :arg _field: The field to use in this query. :arg _value: The query value for the field. :arg distance: (required) The radius of the circle centred on the specified location. Points which fall into this circle are considered to be matches. :arg distance_type: How to compute the distance. Set to `plane` for a faster calculation that's inaccurate on long distances and close to the poles. Defaults to `'arc'` if omitted. :arg validation_method: Set to `IGNORE_MALFORMED` to accept geo points with invalid latitude or longitude. Set to `COERCE` to also try to infer correct latitude or longitude. Defaults to `'strict'` if omitted. :arg ignore_unmapped: Set to `true` to ignore an unmapped field and not match any documents for this query. Set to `false` to throw an exception if the field is not mapped. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: geo_distancedistance distance_typerrrirjrrrrztypes.LatLonGeoLocationztypes.GeoHashLocationrr)arcplanerrrrirjrkc ~|tur|| t|<tjd||||||d| dS)Nrr(r) rNrrrrrrrirjrkrps r*rozGeoDistance.__init__sk,  "(F3v;;  '/+        r))r$r%r&rrArrr`rrr rr rbrorrs@r*rrsV6 DBI   /6GN 6=-4+2'    c. =>   % # UO  cN      ]*+  W^4mCD  ! : ;] J   "t]23#  $UM)*%  &S-'('  ()           r)rc neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) GeoGridz Matches `geo_point` and `geo_shape` values that intersect a grid cell from a GeoGrid aggregation. :arg _field: The field to use in this query. :arg _value: The query value for the field. geo_gridrrrrztypes.GeoGridQueryrkc p|tur||t|<tjdi|dSrrrs r*rozGeoGrid.__init__)rr)rrs@r*rrs DBIMT##c. =>#*DcNMIJ# ##########r)rceZdZdZdZeefeeeeddeeddfdedeee fdfd ee d dfd ee dfd ee dfd eedfde ffdZ xZS) GeoPolygona  :arg _field: The field to use in this query. :arg _value: The query value for the field. :arg validation_method: Defaults to `'strict'` if omitted. :arg ignore_unmapped: :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: geo_polygonrrrirjrrrrztypes.GeoPolygonPointsrrrrirjrkc z|tur||t|<tjd||||d|dS)Nrr(r) rNrrrrrirjrkrps r*rozGeoPolygon.__init__Dse  "(F3v;;  /+         r)rrs@r*rr4s   DBI    6=-4+2   c. =>  $d38nm C  ! : ;] J  t]23 UM)* S-'(           r)rceZdZdZdZeefeeeddeeddfdedeee fdfd ee dfd ee dfd eedfd e f fd Z xZ S)GeoShapea Filter documents indexed using either the `geo_shape` or the `geo_point` type. :arg _field: The field to use in this query. :arg _value: The query value for the field. :arg ignore_unmapped: Set to `true` to ignore an unmapped field and not match any documents for this query. Set to `false` to throw an exception if the field is not mapped. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: geo_shaperrirjrrrrztypes.GeoShapeFieldQueryrrirjrkc x|tur||t|<tjd|||d|dSNrr(rrNrrrrirjrkrps r*rozGeoShape.__init__rs^  "(F3v;;  +5  IO     r)r$r%r&rrArrr`r rrbrrorrs@r*rr^s" DBI   7>-4+2   c. =>  &S#X E  t]23 UM)* S-'(           r)rc eZdZdZdZdddiiZeeeeeeeeed deedfdee dfdee dfded e e e fdfd ee dfd ee dfd eed dfdeedfdee dfde ffdZxZS)HasChildu( Returns parent documents whose joined child documents match a provided query. :arg query: (required) Query you wish to run on child documents of the `type` field. If a child document matches the search, the query returns the parent document. :arg type: (required) Name of the child relationship mapped for the `join` field. :arg ignore_unmapped: Indicates whether to ignore an unmapped `type` and not return any documents instead of an error. :arg inner_hits: If defined, each search hit will contain inner hits. :arg max_children: Maximum number of child documents that match the query allowed for a returned parent document. If the parent document exceeds this limit, it is excluded from the search results. :arg min_children: Minimum number of child documents that match the query required to match the query for a returned parent document. If the parent document does not meet this limit, it is excluded from the search results. :arg score_mode: Indicates how scores for matching child documents affect the root parent document’s relevance score. Defaults to `'none'` if omitted. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: has_childrDrd rDrdr inner_hits max_children min_childrenrrirjrrrtypes.InnerHitsrrrrrrrrrirjrkc Ntjd||||||||| d | dS)Nr r(rm) rNrDrdrrrrrrirjrkrps r*rozHasChild.__init__sY  +!%%!  r))r$r%r&rrArrrr-r`rbr rrr rrorrs@r*r r sZ> D&'"K.5*16=NU2929 -4+2   UM)* C&'  t]23  +T#s(^]JK  C./ C./  6 7 F  UM)* S-'(           r)r ceZdZdZdZdddiiZeeeeeeeddeedfdee dfdee dfd ed e ee fdfd ee dfd ee dfd eedfde ffdZxZS) HasParenta Returns child documents whose joined parent document matches a provided query. :arg parent_type: (required) Name of the parent relationship mapped for the `join` field. :arg query: (required) Query you wish to run on parent documents of the `parent_type` field. If a parent document matches the search, the query returns its child documents. :arg ignore_unmapped: Indicates whether to ignore an unmapped `parent_type` and not return any documents instead of an error. You can use this parameter to query multiple indices that may not contain the `parent_type`. :arg inner_hits: If defined, each search hit will contain inner hits. :arg score: Indicates whether the relevance score of a matching parent document is aggregated into its child documents. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: has_parentrDrd parent_typerDrrscorerirjrrrrrrrirjrkc Jtjd|||||||d|dS)Nrr(rm) rNrrDrrrrirjrkrps r*rozHasParent.__init__sS  #+!  r))r$r%r&rrArrrr`r-rbr rrrorrs@r*rrs!0 D&'"K29-46=NU,3-4+2   3 -. UM)*  t]23  +T#s(^]JK  T=() UM)* S-'(           r)rc eZdZdZdZeeeddeeeedfdee dfdeedfde ffd Z xZ S) Idsa Returns documents based on their IDs. This query uses document IDs stored in the `_id` field. :arg values: An array of document IDs. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: idsvaluesrirjrrrirjrkc Btjd|||d|dS)Nrr(rm)rNrrirjrkrps r*roz Ids.__init__rr)) r$r%r&rrArrr`rrrrorrs@r*rrs   D #,d38nmKL# ##########r)r"cZeZdZdZdZddddiZeeeeeeeeeed deed d fd ee e d fd ed e ee fd fdee d fdee d fdeee ed fdee d fdede ee fd fdee d fdeed fde ffdZxZS)Knna Finds the k nearest vectors to a query vector, as measured by a similarity metric. knn query finds nearest vectors through approximate search on indexed dense_vectors. :arg field: (required) The name of the vector field to search against :arg query_vector: The query vector :arg query_vector_builder: The query vector builder. You must provide a query_vector_builder or query_vector, but not both. :arg num_candidates: The number of nearest neighbor candidates to consider per shard :arg k: The final number of nearest neighbors to return as top hits :arg filter: Filters for the kNN search query :arg similarity: The minimum similarity for a vector to be considered a match :arg rescore_vector: Apply oversampling and rescoring to quantized vectors * :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: knnrfrDTrc r query_vectorquery_vector_buildernum_candidateskrf similarityrescore_vectorrirjrrrr)r*ztypes.QueryVectorBuilderr+r,r-r.ztypes.RescoreVectorrirjrkc  Ptjd||||||||| | d | dS)Nr(r(rm) rNrr)r*r+r,rfr-r.rirjrkrps r*roz Knn.__init__Ms\&  %!5)!)  r))r$r%r&rrArrrr`rrr rrr-rorrs@r*r&r&.s2 D7T22KAH>E 4;'.?F29 -4+2!   S-}<= HUO]:;  $ &S#X E  c=01  m# $ eXe_m;< %./  !4S>= @  UM)* S-'(! "#          r)r&c neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) Matchz Returns documents that match a provided text, number, date or boolean value. The provided text is analyzed before matching. :arg _field: The field to use in this query. :arg _value: The query value for the field. matchrrrrztypes.MatchQueryrkc p|tur||t|<tjdi|dSrrrs r*rozMatch.__init__zrr)rrs@r*r1r1orr)r1ceZdZdZdZeeddeedfdeedfde ffdZ dd Z e xZ xZ Zdd ZeZddZxZS)MatchAlla Matches all documents, giving them all a `_score` of 1.0. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: r4rirjrirrjrkc @tjd||d|dSNr6r(rmrNrirjrkrps r*rozMatchAll.__init__/  # ($sCx.- G  #  # # # # # # # # # #r)rBceZdZdZdZeeddeedfdeedfde ffdZ dd Z e xZ xZ Zdd ZeZd efdZxZS)r}a Matches no documents. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: match_noner6rirrjrkc @tjd||d|dSr8rmr9s r*rozMatchNone.__init__r:r)rHr-r,c|Sr/r(rMs r*rOzMatchNone.__add__r?r)c*|Sr/r<rMs r*rYzMatchNone.__or__r=r)ctSr/)r5rTs r*rUzMatchNone.__invert__s zzr))rHr-r,r}r\)r$r%r&rrArrrr`rrorOr[rGrFrYrEr5rUrrs@r*r}r}s   D .5+2 ===UM)*=S-'( =  ======%,+G+hGHr)r}c neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) MatchPhrasez Analyzes the text and creates a phrase query out of the analyzed text. :arg _field: The field to use in this query. :arg _value: The query value for the field. match_phraserrrrztypes.MatchPhraseQueryrkc p|tur||t|<tjdi|dSrrrs r*rozMatchPhrase.__init__rr)rrs@r*rLrLs DBI  # #c. => # $d38nm C  #  # # # # # # # # # #r)rLc neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) MatchPhrasePrefixa8 Returns documents that contain the words of a provided text, in the same order as provided. The last term of the provided text is treated as a prefix, matching any words that begin with that term. :arg _field: The field to use in this query. :arg _value: The query value for the field. match_phrase_prefixrrrrztypes.MatchPhrasePrefixQueryrkc p|tur||t|<tjdi|dSrrrs r*rozMatchPhrasePrefix.__init__rr)rrs@r*rPrPs !DBI  # #c. => # *DcNM I  #  # # # # # # # # # #r)rPc+eZdZdZdZeeeeeeeeeeeeeeeeeeeeddeeedfeeedfe ee fdfdeedfdee dfd ee dfd eeeed fdfd ee dfd ee dfdee dfdee dfdee dfdee edfdee dfdee dfdeedfdeedeedfdeeedfeeedfe ee fdfdee dfdeeddfdee dfdeedfde f*fdZxZS) MoreLikeThisag Returns documents that are "like" a given set of documents. :arg like: (required) Specifies free form text and/or a single or multiple documents for which you want to find similar documents. :arg analyzer: The analyzer that is used to analyze the free form text. Defaults to the analyzer associated with the first field in fields. :arg boost_terms: Each term in the formed query could be further boosted by their tf-idf score. This sets the boost factor to use when using this feature. Defaults to deactivated (0). :arg fail_on_unsupported_field: Controls whether the query should fail (throw an exception) if any of the specified fields are not of the supported types (`text` or `keyword`). Defaults to `True` if omitted. :arg fields: A list of fields to fetch and analyze the text from. Defaults to the `index.query.default_field` index setting, which has a default value of `*`. :arg include: Specifies whether the input documents should also be included in the search results returned. :arg max_doc_freq: The maximum document frequency above which the terms are ignored from the input document. :arg max_query_terms: The maximum number of query terms that can be selected. Defaults to `25` if omitted. :arg max_word_length: The maximum word length above which the terms are ignored. Defaults to unbounded (`0`). :arg min_doc_freq: The minimum document frequency below which the terms are ignored from the input document. Defaults to `5` if omitted. :arg minimum_should_match: After the disjunctive query has been formed, this parameter controls the number of terms that must match. :arg min_term_freq: The minimum term frequency below which the terms are ignored from the input document. Defaults to `2` if omitted. :arg min_word_length: The minimum word length below which the terms are ignored. :arg routing: :arg stop_words: An array of stop words. Any word in this set is ignored. :arg unlike: Used in combination with `like` to exclude documents that match a set of terms. :arg version: :arg version_type: Defaults to `'internal'` if omitted. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: more_like_this)likeanalyzer boost_termsfail_on_unsupported_fieldrinclude max_doc_freqmax_query_termsmax_word_length min_doc_freqrh min_term_freqmin_word_lengthrouting stop_wordsunlikeversion version_typerirjrVztypes.LikeDocumentrrWrXrYrrrZr[r\r]r^rhr_r`rarb)%_arabic_ _armenian__basque_ _bengali_ _brazilian_ _bulgarian_ _catalan__cjk__czech__danish__dutch_ _english_ _estonian_ _finnish__french_ _galician__german__greek__hindi_ _hungarian_ _indonesian__irish_ _italian_ _latvian_ _lithuanian_ _norwegian_ _persian_ _portuguese_ _romanian_ _russian_ _serbian__sorani_ _spanish_ _swedish__thai_ _turkish__none_rcrdre)internalexternal external_gterirjrkc tjdid|d|d|d|d|d|d|d|d | d | d | d | d | d|d|d|d|d|d|d||dS)NrVrWrXrYrrZr[r\r]r^rhr_r`rarbrcrdrerirjr(rm)rNrVrWrXrYrrZr[r\r]r^rhr_r`rarbrcrdrerirjrkrps r*rozMoreLikeThis.__init__Qs'b     X $  '@&?  6  G  & ,O ,O & "6!5 (- ,O G "z 6! "G# $&% &%' (%+     r))r$r%r&rrArrr`rr rrrbrr rorrs@r*rTrTs11f D .53:@G .5295<5<29?F3:5<-4V  -4 -4+2]g g g  #++ , U3 445 6 cN   g ]*+g 5-/0g $)})<#=g  U3 334 5} D g t]*+g C./!g "sM12#g $sM12%g &C./'g ($Cm$;<)g *S-/0+g ,sM12-g .sM)*/g 0 $& N SM Q( * 1g F #++ , U3 445 6 cN   Gg RsM)*Sg T : ;] J Ug ZUM)*[g \S-'(]g ^_g g g g g g g g g g r)rTc)(eZdZdZdZeeeeeeeeeeeeeeeeeeeddeedfdeedfdeedfdee dfd eeed fe eed fdfd eee dfd eedfd eedfdeedfdee dfdee edfdee ddfdee dfdee dfdee dfdee ddfdee ddfdee dfdeedfde f(fdZxZS) MultiMatcha Enables you to search for a provided text, number, date or boolean value across multiple fields. The provided text is analyzed before matching. :arg query: (required) Text, number, boolean value or date you wish to find in the provided field. :arg analyzer: Analyzer used to convert the text in the query value into tokens. :arg auto_generate_synonyms_phrase_query: If `true`, match phrase queries are automatically created for multi-term synonyms. Defaults to `True` if omitted. :arg cutoff_frequency: :arg fields: The fields to be queried. Defaults to the `index.query.default_field` index settings, which in turn defaults to `*`. :arg fuzziness: Maximum edit distance allowed for matching. :arg fuzzy_rewrite: Method used to rewrite the query. :arg fuzzy_transpositions: If `true`, edits for fuzzy matching include transpositions of two adjacent characters (for example, `ab` to `ba`). Can be applied to the term subqueries constructed for all terms but the final term. Defaults to `True` if omitted. :arg lenient: If `true`, format-based errors, such as providing a text query value for a numeric field, are ignored. :arg max_expansions: Maximum number of terms to which the query will expand. Defaults to `50` if omitted. :arg minimum_should_match: Minimum number of clauses that must match for a document to be returned. :arg operator: Boolean logic used to interpret text in the query value. Defaults to `'or'` if omitted. :arg prefix_length: Number of beginning characters left unchanged for fuzzy matching. :arg slop: Maximum number of positions allowed between matching tokens. :arg tie_breaker: Determines how scores for each per-term blended query and scores across groups are combined. :arg type: How `the` multi_match query is executed internally. Defaults to `'best_fields'` if omitted. :arg zero_terms_query: Indicates whether no documents are returned if the `analyzer` removes all tokens, such as when using a `stop` filter. Defaults to `'none'` if omitted. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: multi_match)rDrWrcutoff_frequencyr fuzziness fuzzy_rewritefuzzy_transpositionslenientmax_expansionsrhr prefix_lengthsloprrdrrirjrDrrWrrrrrrrrrrhrrrrrrrd best_fields most_fields cross_fieldsphrase phrase_prefix bool_prefixr)rrrirjrkc tjdid|d|d|d|d|d|d|d|d | d | d | d | d | d|d|d|d|d|d||dS)NrDrWrrrrrrrrrhrrrrrdrrirjr(rm)rNrDrWrrrrrrrrrhrrrrrdrrirjrkrps r*rozMultiMatch.__init__sL    % X 1T0S .-  6   i  (- "6!5 G *> "6!5 X (-  $  ! ".-# $%% &%)     r))r$r%r&rrArrr`rbrrrr rrorrs@r*rrsk//b D ,3.5JQ8? 4;3:;B.54;?F?F3:*13: IP-4+2G; ; ; S-'(; ]*+ ; .343F-G ;  } 45 ;  #** + U3 334 5   ; c=01; S-/0; $D-$78; t]*+; c=01!; "$Cm$;<#; $ ,m;<%; &S-/0'; (C&'); *5-/0+; ,      -; B  6 EFC; DUM)*E; FS-'(G; HI; ; ; ; ; ; ; ; ; ; r)rceZdZdZdZdddiiZeeeeeeeddeeddfdee dfd ee dfd ed e ee fdfd ee d dfdeedfdeedfde ffdZxZS)Nestedu Wraps another query to search nested fields. If an object matches the search, the nested query returns the root parent document. :arg path: (required) Path to the nested object you wish to search. :arg query: (required) Query you wish to run on nested objects in the path. :arg ignore_unmapped: Indicates whether to ignore an unmapped path and not return any documents instead of an error. :arg inner_hits: If defined, each search hit will contain inner hits. :arg score_mode: How scores for matching child objects affect the root parent document’s relevance score. Defaults to `'avg'` if omitted. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: nestedrDrdpathrDrrrrirjrrrrrrrrrirjrkc Jtjd|||||||d|dS)Nrr(rm) rNrrDrrrrirjrkrps r*rozNested.__init__GsS  +!!  r))r$r%r&rrArrrr`r-rbr rr rrorrs@r*rr-s1( D&'"K@G-46=NU -4+2   C,m;< UM)*  t]23  +T#s(^]JK   6 7 F  UM)* S-'(           r)rc eZdZdZdZeeeeeddeedfdeedfdeedfdee dfd eedfd e f fd Z xZ S) ParentIda Returns child documents joined to a specific parent document. :arg id: ID of the parent document. :arg ignore_unmapped: Indicates whether to ignore an unmapped `type` and not return any documents instead of an error. :arg type: Name of the child relationship mapped for the `join` field. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: parent_ididrrdrirjrrrrdrirjrkc Ftjd|||||d|dS)Nrr(rm)rNrrrdrirjrkrps r*rozParentId.__init__ssM  +         r)) r$r%r&rrArrr`rbrrrorrs@r*rras   D )06=*1-4+2    #}$ % t]23  C&'  UM)*  S-'(           r)rc eZdZdZdZeeeeeeeeeeed deeddfdedee edfd eedfd eedfd eedfd eedfd eedfdee dfdee dfdeedfdeffdZ xZ S) PercolateaX Matches queries stored in an index. :arg field: (required) Field that holds the indexed queries. The field must use the `percolator` mapping type. :arg document: The source of the document being percolated. :arg documents: An array of sources of the documents being percolated. :arg id: The ID of a stored document to percolate. :arg index: The index of a stored document to percolate. :arg name: The suffix used for the `_percolator_document_slot` field when multiple `percolate` queries are specified. :arg preference: Preference used to fetch document to percolate. :arg routing: Routing used to fetch document to percolate. :arg version: The expected version of a stored document to percolate. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: percolate rdocument documentsrindexrA preferencerardrirjrrrrrrrrArrardrirjrkc  Rtjd||||||||| | | d | dS)Nrr(rm)rNrrrrrrArrardrirjrkrps r*rozPercolate.__init__s_  !  r))r$r%r&rrArrr`rrrrrorrs@r*rrs`, D AH9@(/+2*107-4-4-4+2   S-}<=   # 56  #}$ %  S-'( C&' #},- sM)* sM)* UM)* S-'(           r)rc eZdZdZdZdddiiZeeeeeddeedfdee e dfd ee d e e e e fdfd ee dfd ee dfd e f fdZxZS)Pinneda2 Promotes selected documents to rank higher than those matching a given query. :arg organic: (required) Any choice of query used to rank documents which will be ranked below the "pinned" documents. :arg ids: Document IDs listed in the order they are to appear in results. Required if `docs` is not specified. :arg docs: Documents listed in the order they are to appear in results. Required if `ids` is not specified. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: pinnedorganicrdrDrrdocsrirjrrrztypes.PinnedDocrirjrkc Ftjd|||||d|dS)Nrr(rm)rNrrrrirjrkrps r*rozPinned.__init__sG  4uE  MS     r))r$r%r&rrArrrr-rr`r rrrorrs@r*rrs$ DFG$K073: -4+2   um+, 8C=-/ 0   & '$sCx.)A= P  UM)* S-'(           r)rc neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) Prefixz Returns documents that contain a specific prefix in a provided field. :arg _field: The field to use in this query. :arg _value: The query value for the field. prefixrrrrztypes.PrefixQueryrkc p|tur||t|<tjdi|dSrrrs r*rozPrefix.__init__rr)rrs@r*rr DBILS##c. =>#)4S>=HI# ##########r)rc9eZdZdZdZeeeeeeeeeeeeeeeeeeeeeeeeeeeddeedfdeedfdeedfdeedfd eedfd eed dfd ee d dfdeedfdeedfdee eed fdfdeee dfdee dfdee dfdeedfdeedfdeedfdee dfdee edfdee dfdeedfdeedfdeedfdee dfdeedfdee d dfd!ee dfd"eedfd#e f8fd$ZxZS)% QueryStringa/ Returns documents based on a provided query string, using a parser with a strict syntax. :arg query: (required) Query string you wish to parse and use for search. :arg allow_leading_wildcard: If `true`, the wildcard characters `*` and `?` are allowed as the first character of the query string. Defaults to `True` if omitted. :arg analyzer: Analyzer used to convert text in the query string into tokens. :arg analyze_wildcard: If `true`, the query attempts to analyze wildcard terms in the query string. :arg auto_generate_synonyms_phrase_query: If `true`, match phrase queries are automatically created for multi-term synonyms. Defaults to `True` if omitted. :arg default_field: Default field to search if no field is provided in the query string. Supports wildcards (`*`). Defaults to the `index.query.default_field` index setting, which has a default value of `*`. :arg default_operator: Default boolean logic used to interpret text in the query string if no operators are specified. Defaults to `'or'` if omitted. :arg enable_position_increments: If `true`, enable position increments in queries constructed from a `query_string` search. Defaults to `True` if omitted. :arg escape: :arg fields: Array of fields to search. Supports wildcards (`*`). :arg fuzziness: Maximum edit distance allowed for fuzzy matching. :arg fuzzy_max_expansions: Maximum number of terms to which the query expands for fuzzy matching. Defaults to `50` if omitted. :arg fuzzy_prefix_length: Number of beginning characters left unchanged for fuzzy matching. :arg fuzzy_rewrite: Method used to rewrite the query. :arg fuzzy_transpositions: If `true`, edits for fuzzy matching include transpositions of two adjacent characters (for example, `ab` to `ba`). Defaults to `True` if omitted. :arg lenient: If `true`, format-based errors, such as providing a text value for a numeric field, are ignored. :arg max_determinized_states: Maximum number of automaton states required for the query. Defaults to `10000` if omitted. :arg minimum_should_match: Minimum number of clauses that must match for a document to be returned. :arg phrase_slop: Maximum number of positions allowed between matching tokens for phrases. :arg quote_analyzer: Analyzer used to convert quoted text in the query string into tokens. For quoted text, this parameter overrides the analyzer specified in the `analyzer` parameter. :arg quote_field_suffix: Suffix appended to quoted text in the query string. You can use this suffix to use a different analysis method for exact matches. :arg rewrite: Method used to rewrite the query. :arg tie_breaker: How to combine the queries generated from the individual search terms in the resulting `dis_max` query. :arg time_zone: Coordinated Universal Time (UTC) offset or IANA time zone used to convert date values in the query string to UTC. :arg type: Determines how the query matches and scores documents. Defaults to `'best_fields'` if omitted. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: query_string)rDallow_leading_wildcardrWanalyze_wildcardr default_fielddefault_operatorenable_position_incrementsescaperrfuzzy_max_expansionsfuzzy_prefix_lengthrrrmax_determinized_statesrh phrase_slopquote_analyzerquote_field_suffixrewriter time_zonerdrirjrDrrrWrrrrrrrrrrrrrrrrrhrrrrrrrdrrirjrkc tjdid|d|d|d|d|d|d|d|d | d | d | d | d | d|d|d|d|d|d|d|d|d|d|d|d|d|d||dS)NrDrrWrrrrrrrrrrrrrrrhrrrrrrrdrirjr(rm)rNrDrrWrrrrrrrrrrrrrrrhrrrrrrrdrirjrkrps r*rozQueryString.__init__CsX    % #9#9 X .-  1T0S  (-  .- (B'A 6 6  i "6!5 !4 3 (- "6!5 G! "%<$;# $"6!5% &$ ' (*>) * 21+ ,G- .$ / 0 i1 23 4%5 6%9     r))r$r%r&rrArrr`rbr rrrrrorrs@r*rrs8@@D D ,3=D.57>JQHOGNAH-4 4;:A9@3:;B.5=D?F3:4;8?-43:/6 -4+2SI I I S-'(I !&dM&9 : I ]*+ I  m 34 I .343F-GI S"5}DEI   4m CDI %*$ *=$>I dM)*I  U3 334 5} D I c=01I $C$67!I "#3 #56#I $S-/0%I &$D-$78'I (t]*+)I *"'sM'9!:+I ,$Cm$;<-I .5-/0/I 0c=011I 2"#}"453I 4sM)*5I 65-/07I 8m+,9I :      ;I PUM)*QI RS-'(SI TUI I I I I I I I I I r)rc neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) Rangez Returns documents that contain terms within a provided range. :arg _field: The field to use in this query. :arg _value: The query value for the field. rangerrrrzwrappers.Range[Any]rkc p|tur||t|<tjdi|dSrrrs r*rozRange.__init__rr)rrs@r*rrs DBINU##c. =>#+T#s(^]JK# ##########r)rceZdZdZdZeeeeeeeddeeddfdedeee fdfd ed eee fdfd ed eee fdfd edeee fdfdee dfdeedfde ffdZ xZ S) RankFeaturea6 Boosts the relevance score of documents based on the numeric value of a `rank_feature` or `rank_features` field. :arg field: (required) `rank_feature` or `rank_features` field used to boost relevance scores. :arg saturation: Saturation function used to boost relevance scores based on the value of the rank feature `field`. :arg log: Logarithmic function used to boost relevance scores based on the value of the rank feature `field`. :arg linear: Linear function used to boost relevance scores based on the value of the rank feature `field`. :arg sigmoid: Sigmoid function used to boost relevance scores based on the value of the rank feature `field`. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: rank_featurer saturationloglinearsigmoidrirjrrrrz#types.RankFeatureFunctionSaturationrz"types.RankFeatureFunctionLogarithmrztypes.RankFeatureFunctionLinearrz types.RankFeatureFunctionSigmoidrirjrkc Jtjd|||||||d|dS)Nrr(rm) rNrrrrrrirjrkrps r*rozRankFeature.__init__sS(  !  r) r$r%r&rrArrr`r rrrorrs@r*rrsF, D AH    -4+2#   S-}<=  14S>= P   0$sCx.- O   -tCH~} L   .S#X M  UM)*! "S-'(# $%          r)rc neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) Regexpz Returns documents that contain terms matching a regular expression. :arg _field: The field to use in this query. :arg _value: The query value for the field. regexprrrrztypes.RegexpQueryrkc p|tur||t|<tjdi|dSrrrs r*rozRegexp.__init__rr)rrs@r*rrrr)rceZdZdZdZdddiiZeeeeeeddeedfde d ee e e dfd ee dfd ee dfd ee dfd e ffdZ xZS)Rulea :arg organic: (required) :arg match_criteria: (required) :arg ruleset_ids: :arg ruleset_id: :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: rulerrdrDrmatch_criteria ruleset_ids ruleset_idrirjrrrrrirjrkc Htjd||||||d|dS)Nrr(rm) rNrrrrrirjrkrps r*roz Rule.__init__sP  )#!        r))r$r%r&rrArrrr-rr`rrrorrs@r*rrs   DFG$K07%@G07-4+2   um+,   3 }<=  #},-  UM)* S-'(           r)rc eZdZdZdZeeeddedeee fdfdee dfdeedfde ffd Z xZ S) ScriptaY Filters documents based on a provided script. The script query is typically used in a filter context. :arg script: (required) Contains a script to run as a query. This script must return a boolean value, `true` or `false`. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: scriptrrirj types.Scriptrrirjrkc Btjd|||d|dS)Nrr(rm)rNrrirjrkrps r*rozScript.__init__,rr) r$r%r&rrArrr r`rrrorrs@r*rrs   D HO-4+2 LLLnd38nmCDLUM)* L S-'( L  LLLLLLLLLLr)rc eZdZdZdZdddiiZeeeeeddeedfdede e e fdfd ee dfd ee dfd ee dfd e f fd Z xZS) ScriptScorea) Uses a script to provide a custom score for returned documents. :arg query: (required) Query used to return documents. :arg script: (required) Script used to compute the score of documents returned by the query. Important: final relevance scores from the `script_score` query cannot be negative. :arg min_score: Documents with a score lower than this floating point number are excluded from the search results. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: script_scorerDrdrDrrrirjrrrrrirjrkc Ftjd|||||d|dS)Nrr(rm)rNrDrrrirjrkrps r*rozScriptScore.__init__NsM           r))r$r%r&rrArrrr-r r`rrrorrs@r*rr7s" D&'"K.5GN18-4+2   UM)* nd38nmCD   -.  UM)*  S-'(           r)rc eZdZdZdZeeeeddeedfdeedfdeedfdeedfd e f fd Z xZ S) Semantica" A semantic query to semantic_text field types :arg field: (required) The field to query, which must be a semantic_text field type :arg query: (required) The query text :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: semanticrrDrirjrrrDrirjrkc Dtjd||||d|dSNrr(rmrNrrDrirjrkrps r*rozSemantic.__init__s3 VuEeVVvVVVVVr)rrs@r*rrbs   D ,3+2-4+2 W W WS-'( WS-'( W UM)* W S-'( W W W W W W W W W W Wr)rceZdZdZdZeefeeeddeeddfdedeee fdfd ee dfd ee dfd eedfd e f fd Z xZ S)Shapea Queries documents that contain fields indexed using the `shape` type. :arg _field: The field to use in this query. :arg _value: The query value for the field. :arg ignore_unmapped: When set to `true` the query ignores an unmapped field and will not match any documents. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: shaperrrrrztypes.ShapeFieldQueryrrirjrkc x|tur||t|<tjd|||d|dSrrrs r*rozShape.__init__s^  "(F3v;;  +5  IO     r)r rs@r*rrs   DBIPW 7>-4+2   c. => -tCH~}LM t]23  UM)*  S-'(           r)rc!eZdZdZdZeeeeeeeeeeeeeeeddeedfdeedfdeedfdeedfd ee d dfd ee eed fdfd ede ee fdfdee dfdee dfdeedfdeedfdee edfdeedfdeedfdeedfde f fdZxZS)SimpleQueryStringa Returns documents based on a provided query string, using a parser with a limited but fault-tolerant syntax. :arg query: (required) Query string in the simple query string syntax you wish to parse and use for search. :arg analyzer: Analyzer used to convert text in the query string into tokens. :arg analyze_wildcard: If `true`, the query attempts to analyze wildcard terms in the query string. :arg auto_generate_synonyms_phrase_query: If `true`, the parser creates a match_phrase query for each multi-position token. Defaults to `True` if omitted. :arg default_operator: Default boolean logic used to interpret text in the query string if no operators are specified. Defaults to `'or'` if omitted. :arg fields: Array of fields you wish to search. Accepts wildcard expressions. You also can boost relevance scores for matches to particular fields using a caret (`^`) notation. Defaults to the `index.query.default_field index` setting, which has a default value of `*`. :arg flags: List of enabled operators for the simple query string syntax. Defaults to `ALL` if omitted. :arg fuzzy_max_expansions: Maximum number of terms to which the query expands for fuzzy matching. Defaults to `50` if omitted. :arg fuzzy_prefix_length: Number of beginning characters left unchanged for fuzzy matching. :arg fuzzy_transpositions: If `true`, edits for fuzzy matching include transpositions of two adjacent characters (for example, `ab` to `ba`). :arg lenient: If `true`, format-based errors, such as providing a text value for a numeric field, are ignored. :arg minimum_should_match: Minimum number of clauses that must match for a document to be returned. :arg quote_field_suffix: Suffix appended to quoted text in the query string. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: simple_query_stringrDrWrrrrflagsrrrrrhrrirjrDrrWrrrrrrr ztypes.PipeSeparatedFlagsrrrrrhrrirjrkc Ztjd||||||||| | | | | ||d|dS)Nr r(rm)rNrDrWrrrrr rrrrrhrrirjrkrps r*rozSimpleQueryString.__init__sk0  -0S-!5 3!5!51  !     r))r$r%r&rrArrr`rbr rr rrrrorrs@r*r r s**X !D ,3.57>JQGN  :A9@;B.5?F8?-4+2+) ) ) S-'() ]*+ )  m 34 ) .343F-G )   4m CD)  U3 334 5} D )  &S#X E ) $C$67) #3 #56) $D-$78!) "t]*+#) $$Cm$;<%) &"#}"45') (UM)*)) *S-'(+) ,-) ) ) ) ) ) ) ) ) ) r)r c eZdZdZdZeeeeddedeee fdfdedeee fdfdee dfd eedfd e f fd Z xZ S) SpanContaininga Returns matches which enclose another span query. :arg big: (required) Can be any span query. Matching spans from `big` that contain matches from `little` are returned. :arg little: (required) Can be any span query. Matching spans from `big` that contain matches from `little` are returned. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: span_containingbiglittlerirjrtypes.SpanQueryrrrirjrkc Dtjd||||d|dSNrr(rmrNrrrirjrkrps r*rozSpanContaining.__init__ 3 TSuETTVTTTTTr)rrs@r*rrs   D HOJQ-4+2 U U U$d38nmC D U'c3hFG U UM)* U S-'( U U U U U U U U U U Ur)rc eZdZdZdZeeeeddeeddfdedeee fdfd ee dfd eedfd e f fd Z xZ S) SpanFieldMaskinga Wrapper to allow span queries to participate in composite single-field span queries by _lying_ about their search field. :arg field: (required) :arg query: (required) :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: span_field_maskingrrrrrDrrirjrkc Dtjd||||d|dSrrmrs r*rozSpanFieldMasking.__init__, rr)rrs@r*rr s   D AHIP-4+2 W W WS-}<= W&S#X EF W UM)* W S-'( W W W W W W W W W W Wr)rc eZdZdZdZeeeeddeedfdedee e fdfdee dfd ee dfd e f fd Z xZ S) SpanFirsta- Matches spans near the beginning of a field. :arg end: (required) Controls the maximum end position permitted in a match. :arg match: (required) Can be any other span type query. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: span_firstendr2rirjr!rr2rrirjrkc Dtjd||||d|dS)Nr r(rm)rNr!r2rirjrkrps r*rozSpanFirst.__init__I s3 RSU%RR6RRRRRr))r$r%r&rrArrrr r`rrrorrs@r*rr8 s   D *1IP-4+2 S S S3 % & S&S#X EF S UM)* S S-'( S S S S S S S S S S Sr)rc ~eZdZdZdZdddiiZeeeddeedfdee dfd ee dfd e ffd Z xZ S) SpanMultia Allows you to wrap a multi term query (one of `wildcard`, `fuzzy`, `prefix`, `range`, or `regexp` query) as a `span` query, so it can be nested. :arg match: (required) Should be a multi term query (one of `wildcard`, `fuzzy`, `prefix`, `range`, or `regexp` query). :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: span_multir2rdrDr2rirjrrirjrkc Btjd|||d|dS)Nr&r(rm)rNr2rirjrkrps r*rozSpanMulti.__init__j rr)rrs@r*r$r$U s   D&'"K.5-4+2 JJJUM)*JUM)* J S-'( J  JJJJJJJJJJr)r$c eZdZdZdZeeeeeddeedeee e fdfdee dfdee dfd ee dfd ee dfd e f fd ZxZS) SpanNeara Matches spans which are near one another. You can specify `slop`, the maximum number of intervening unmatched positions, as well as whether matches are required to be in-order. :arg clauses: (required) Array of one or more other span type queries. :arg in_order: Controls whether matches are required to be in-order. :arg slop: Controls the maximum number of intervening unmatched positions permitted. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: span_nearclausesin_orderrrirjr,rrr-rrirjrkc Ftjd|||||d|dS)Nr+r(rm)rNr,r-rrirjrkrps r*rozSpanNear.__init__ sM           r))r$r%r&rrArrrr r`rrbrrrorrs@r*r)r)u s" D /6*1-4+2    & '$sCx.)A= P  m+,  C&' UM)* S-'(           r)r)ceZdZdZdZeeeeeeeddedeee fdfdedeee fdfdee dfd ee dfd ee dfd ee dfd eedfd e ffdZ xZ S)SpanNotuu Removes matches which overlap with another span query or which are within x tokens before (controlled by the parameter `pre`) or y tokens after (controlled by the parameter `post`) another span query. :arg exclude: (required) Span query whose matches must not overlap those returned. :arg include: (required) Span query whose matches are filtered. :arg dist: The number of tokens from within the include span that can’t have overlap with the exclude span. Equivalent to setting both `pre` and `post`. :arg post: The number of tokens after the include span that can’t have overlap with the exclude span. :arg pre: The number of tokens before the include span that can’t have overlap with the exclude span. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: span_notexcluderZdistpostprerirjr3rrrZr4r5r6rirjrkc Jtjd|||||||d|dS)Nr2r(rm) rNr3rZr4r5r6rirjrkrps r*rozSpanNot.__init__ sS    r))r$r%r&rrArrr r`rrrrorrs@r*r0r0 s. D LSKR*1*1)0-4+2   ($sCx.-GH ($sCx.-GH  C&'  C&'  3 % & UM)* S-'(           r)r0c eZdZdZdZeeeddeedeee e fdfdee dfdee dfd e ffd Z xZ S) SpanOra Matches the union of its span clauses. :arg clauses: (required) Array of one or more other span type queries. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: span_orr,rirjr,rrrirjrkc Btjd|||d|dS)Nr;r(rm)rNr,rirjrkrps r*rozSpanOr.__init__ s1 MUMMfMMMMMr))r$r%r&rrArrrr r`rrrorrs@r*r9r9 s   D -4+2 N N N & '$sCx.)A= P  N UM)* NS-'( N N N N N N N N N N Nr)r9c neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) SpanTermz Matches spans containing a term. :arg _field: The field to use in this query. :arg _value: The query value for the field. span_termrrrrztypes.SpanTermQueryrkc p|tur||t|<tjdi|dSrrrs r*rozSpanTerm.__init__ rr)rrs@r*r>r> s DBINU##c. =>#+T#s(^]JK# ##########r)r>c eZdZdZdZeeeeddedeee fdfdedeee fdfdee dfd eedfd e f fd Z xZ S) SpanWithina Returns matches which are enclosed inside another span query. :arg big: (required) Can be any span query. Matching spans from `little` that are enclosed within `big` are returned. :arg little: (required) Can be any span query. Matching spans from `little` that are enclosed within `big` are returned. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: span_withinrrrrrrirjrkc Dtjd||||d|dSrrmrs r*rozSpanWithin.__init__ rr)rrs@r*rBrB s   D HOJQ-4+2 U U U$d38nmC D U'c3hFG U UM)* U S-'( U U U U U U U U U U Ur)rBceZdZdZdZeeeeeeeeddeeddfdeeee fdfdeedfd eedfd ee dfd ed e ee fdfd ee dfdeedfde ffdZ xZS) SparseVectora Using input query vectors or a natural language processing model to convert a query into a list of token-weight pairs, queries against a sparse vector field. :arg field: (required) The name of the field that contains the token- weight pairs to be searched against. This field must be a mapped sparse_vector field. :arg query_vector: Dictionary of precomputed sparse vectors and their associated weights. Only one of inference_id or query_vector may be supplied in a request. :arg inference_id: The inference ID to use to convert the query text into token-weight pairs. It must be the same inference ID that was used to create the tokens from the input text. Only one of inference_id and query_vector is allowed. If inference_id is specified, query must also be specified. Only one of inference_id or query_vector may be supplied in a request. :arg query: The query text you want to use for search. If inference_id is specified, query must also be specified. :arg prune: Whether to perform pruning, omitting the non-significant tokens from the query to improve query performance. If prune is true but the pruning_config is not specified, pruning will occur but default values will be used. Default: false :arg pruning_config: Optional pruning configuration. If enabled, this will omit non-significant tokens from the query in order to improve query performance. This is only used if prune is set to true. If prune is set to true but pruning_config is not specified, default values will be used. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: sparse_vectorrr) inference_idrDprunepruning_configrirjrrrr)rIrDrJrKztypes.TokenPruningConfigrirjrkc Ltjd||||||||d| dS)NrHr(rm) rNrr)rIrDrJrKrirjrkrps r*rozSparseVector.__init__G sV  %%)  r))r$r%r&rrArrr`r rrbr rrorrs@r*rFrF s:""H D AHBI29+2,3 -4+2   S-}<= GCJ/>?  C./  S-'(  T=()  &S#X E  UM)* S-'(           r)rFc neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) Terma1 Returns documents that contain an exact term in a provided field. To return a document, the query term must exactly match the queried field's value, including whitespace and capitalization. :arg _field: The field to use in this query. :arg _value: The query value for the field. termrrrrztypes.TermQueryrkc p|tur||t|<tjdi|dSrrrs r*roz Term.__init__o rr)rrs@r*rNrNc s DBIJQ##c. =>#'c3hFG# ##########r)rNceZdZdZdZeefeeddeeddfdeeee e ee de fd e ee fdfd ee dfd eedfd e f fd Zdede ddffd ZxZS)Termsa Returns documents that contain one or more exact terms in a provided field. To return a document, one or more terms must exactly match a field value, including whitespace and capitalization. :arg _field: The field to use in this query. :arg _value: The query value for the field. :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: termsr6rrrrNztypes.TermsLookuprirjrkc v|tur||t|<tjd||d|dSr8r)rNrrrirjrkrps r*rozTerms.__init__ sJ  "(F3v;; = U3sD$;< =  cN   =UM)*=S-'(=======$&S&&&&&&&&&&&&r)rRc neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) TermsSetaJ Returns documents that contain a minimum number of exact terms in a provided field. To return a document, a required number of terms must exactly match the field values, including whitespace and capitalization. :arg _field: The field to use in this query. :arg _value: The query value for the field. terms_setrrrrztypes.TermsSetQueryrkc p|tur||t|<tjdi|dSrrrs r*rozTermsSet.__init__ rr)rrs@r*r\r\ s DBINU##c. =>#+T#s(^]JK# ##########r)r\c neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) TextExpansiona' Uses a natural language processing model to convert the query text into a list of token-weight pairs which are then used in a query against a sparse vector or rank features field. :arg _field: The field to use in this query. :arg _value: The query value for the field. text_expansionrrrrztypes.TextExpansionQueryrkc p|tur||t|<tjdi|dSrrrs r*rozTextExpansion.__init__ rr)rrs@r*r`r` s DBI  # #c. => # &S#X E  #  # # # # # # # # # #r)r`c neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) WeightedTokensz Supports returning text_expansion query results by sending in precomputed tokens with the query. :arg _field: The field to use in this query. :arg _value: The query value for the field. weighted_tokensrrrrztypes.WeightedTokensQueryrkc p|tur||t|<tjdi|dSrrrs r*rozWeightedTokens.__init__ rr)rrs@r*rdrd s DBI  # #c. => # 'c3h F  #  # # # # # # # # # #r)rdc neZdZdZdZeefdeeddfdedeee fdfde ffd Z xZ S) Wildcardz Returns documents that contain terms matching a wildcard pattern. :arg _field: The field to use in this query. :arg _value: The query value for the field. wildcardrrrrztypes.WildcardQueryrkc p|tur||t|<tjdi|dSrrrs r*rozWildcard.__init__ rr)rrs@r*rhrh s DBINU##c. =>#+T#s(^]JK# ##########r)rhc reZdZdZdZeeeddeedfdeedfdeedfde ffd Z xZ S) Wrappera- A query that accepts any other query as base64 encoded string. :arg query: (required) A base64 encoded query. The binary data format can be any of JSON, YAML, CBOR or SMILE encodings :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. Defaults to `1` if omitted. :arg _name: wrapperrDrirjrDrrirjrkc Btjd|||d|dS)Nrnr(rm)rNrDrirjrkrps r*rozWrapper.__init__ rr)rrs@r*rlrl s   D ,3-4+2 JJJS-'(JUM)* J S-'( J  JJJJJJJJJJr)rlc reZdZdZdZeeeddeedfdeedfdeedfde ffd Z xZ S) Typea :arg value: (required) :arg boost: Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score. 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