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Spell check in 'follow-recommendations-service' folder
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@ -18,7 +18,7 @@ public class DistancedItemQueue<U, T> implements Iterable<DistancedItem<T>> {
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private final PriorityQueue<DistancedItem<T>> queue;
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private final boolean minQueue;
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/**
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* Creates ontainer for items with their distances.
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* Creates Container for items with their distances.
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*
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* @param origin Origin (reference) point
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* @param initial Initial list of elements to add in the structure
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@ -87,7 +87,7 @@ trait RecommendationFlow[Target, Candidate <: UniversalNoun[Long]]
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protected def selectRanker(target: Target): Ranker[Target, Candidate]
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/**
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* transform the candidates after ranking (e.g. dedupping, grouping and etc)
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* transform the candidates after ranking (e.g. deduping, grouping and etc)
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*/
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protected def postRankerTransform: Transform[Target, Candidate]
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@ -105,7 +105,7 @@ class RepeatedProfileVisitsSource @Inject() (
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val recommendationThreshold = params.getInt(RepeatedProfileVisitsParams.RecommendationThreshold)
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val bucketingThreshold = params.getInt(RepeatedProfileVisitsParams.BucketingThreshold)
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// Get the list of repeatedly visited profilts. Only keep accounts with >= bucketingThreshold visits.
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// Get the list of repeatedly visited profiles. Only keep accounts with >= bucketingThreshold visits.
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val repeatedVisitedAccountsStitch: Stitch[Map[Long, Int]] =
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getRepeatedVisitedAccounts(params, userId).map(_.filter(kv => kv._2 >= bucketingThreshold))
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@ -86,14 +86,14 @@ class TopOrganicFollowsAccountsSource @Inject() (
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debug("candidate source failed identifier = %s".format(identifier), t)
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errorStats.incr()
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})
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.map(transformOrganicFollowAccountssToCandidateSource)
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.map(transformOrganicFollowAccountsToCandidateSource)
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}.getOrElse {
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noCountryCodeStats.incr()
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Stitch.value(Seq[CandidateUser]())
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}
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}
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private def transformOrganicFollowAccountssToCandidateSource(
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private def transformOrganicFollowAccountsToCandidateSource(
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organicFollowsAccounts: Seq[Option[OrganicFollowsAccounts]]
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): Seq[CandidateUser] = {
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organicFollowsAccounts
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@ -56,7 +56,7 @@ object StratoClientModule extends TwitterModule {
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val WTFPostNuxFeaturesPath = "ml/featureStore/onboarding/wtfPostNuxFeatures.User"
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val ElectionCandidatesPath = "onboarding/electionAccounts"
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val UserUserGraphPath = "recommendations/userUserGraph"
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val WtfDissmissEventsPath = "onboarding/wtfDismissEvents"
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val WtfDismissEventsPath = "onboarding/wtfDismissEvents"
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val RelatableAccountsPath = "onboarding/userrecs/relatableAccounts"
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val ExtendedNetworkCandidatesPath = "search/account_search/extendedNetworkCandidatesMH"
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val LabeledNotificationPath = "frigate/magicrecs/labeledPushRecsAggregated.User"
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@ -234,7 +234,7 @@ object StratoClientModule extends TwitterModule {
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Unit,
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(Long, (Long, Long)),
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WhoToFollowDismissEventDetails
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](WtfDissmissEventsPath)
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](WtfDismissEventsPath)
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@Provides
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@Singleton
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@ -19,7 +19,7 @@ object GuiceNamedConstants {
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final val TWO_HOP_RANDOM_WALK_FETCHER = "two_hop_random_walk_fetcher"
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final val USER_RECOMMENDABILITY_FETCHER = "user_recommendability_fetcher"
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final val USER_STATE_FETCHER = "user_state_fetcher"
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final val UTT_ACCOUNT_RECOMMENDATIONS_FETCHER = "utt_account_recomendations_fetcher"
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final val UTT_ACCOUNT_RECOMMENDATIONS_FETCHER = "utt_account_recommendations_fetcher"
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final val UTT_SEED_ACCOUNTS_FETCHER = "utt_seed_accounts_fetcher"
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final val ELECTION_CANDIDATES_FETCHER = "election_candidates_fetcher"
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@ -32,8 +32,8 @@ scala_library(
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"src/scala/com/twitter/ml/featurestore/catalog/features/core:socialgraph",
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"src/scala/com/twitter/ml/featurestore/catalog/features/core:user",
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"src/scala/com/twitter/ml/featurestore/catalog/features/interests_discovery:user-topic-relationships",
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"src/scala/com/twitter/ml/featurestore/catalog/features/magicrecs:non-mr-notif-summmaries",
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"src/scala/com/twitter/ml/featurestore/catalog/features/magicrecs:non-mr-notif-summmary-aggregates",
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"src/scala/com/twitter/ml/featurestore/catalog/features/magicrecs:non-mr-notif-summmaries", # TODO: too many m's
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"src/scala/com/twitter/ml/featurestore/catalog/features/magicrecs:non-mr-notif-summmary-aggregates", # TODO: too many m's
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"src/scala/com/twitter/ml/featurestore/catalog/features/magicrecs:nonmr-ntab-summaries",
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"src/scala/com/twitter/ml/featurestore/catalog/features/onboarding:mc-user-counting",
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"src/scala/com/twitter/ml/featurestore/catalog/features/onboarding:post-nux-offline",
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@ -54,7 +54,7 @@ class WeightedCandidateSourceRanker[Target <: HasParams](
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// Note 1: Using map instead mapValue here since mapValue somehow caused infinite loop when used as part of Stream.
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val sortAndShuffledCandidates = input.map {
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case (source, candidates) =>
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// Note 2: toList is required here since candidates is a view, and it will result in infinit loop when used as part of Stream.
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// Note 2: toList is required here since candidates is a view, and it will result in infinite loop when used as part of Stream.
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// Note 3: there is no real sorting logic here, it assumes the input is already sorted by candidate sources
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val sortedCandidates = candidates.toList
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source -> shuffleFn(sortedCandidates).iterator
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@ -5,7 +5,7 @@ import com.twitter.timelines.configapi.FSParam
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object SamplingTransformParams {
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case object TopKFixed // indicates how many of the fisrt K who-to-follow recommendations are reserved for the candidates with largest K CandidateUser.score where these candidates are sorted in decreasing order of score
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case object TopKFixed // indicates how many of the first K who-to-follow recommendations are reserved for the candidates with largest K CandidateUser.score where these candidates are sorted in decreasing order of score
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extends FSBoundedParam[Int](
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name = "post_nux_ml_flow_weighted_sampling_top_k_fixed",
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default = 0,
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@ -69,7 +69,7 @@ class PromotedAccountsFlow @Inject() (
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}
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/**
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* transform the candidates after ranking (e.g. dedupping, grouping and etc)
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* transform the candidates after ranking (e.g. deduping, grouping and etc)
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*/
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protected override def postRankerTransform: Transform[
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PromotedAccountsFlowRequest,
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@ -133,7 +133,7 @@ class ContentRecommenderFlow @Inject() (
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CandidateUser
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] = {
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new DedupTransform[ContentRecommenderRequest, CandidateUser]
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.observe(statsReceiver.scope("dedupping"))
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.observe(statsReceiver.scope("deduping"))
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}
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protected override def validateCandidates: Predicate[
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@ -29,7 +29,7 @@ import com.twitter.timelines.configapi.HasParams
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* - truncating to the top N merged results for ranking
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* - ML ranker
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* - Interleaving ranker for producer-side experiments
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* - impression-based fatigueing
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* - impression-based fatiguing
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*/
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@Singleton
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class PostNuxMlCombinedRankerBuilder[
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@ -175,7 +175,7 @@ class PostNuxMlFlow @Inject() (
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override protected val postRankerTransform: Transform[PostNuxMlRequest, CandidateUser] = {
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new DedupTransform[PostNuxMlRequest, CandidateUser]
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.observe(statsReceiver.scope("dedupping"))
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.observe(statsReceiver.scope("deduping"))
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.andThen(
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samplingTransform
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.gated(PostNuxMlParams.SamplingTransformEnabled)
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@ -23,5 +23,5 @@ object PostNuxMlFlowFeatureSwitchKeys {
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val EnableSGSPredicate = "post_nux_ml_flow_enable_sgs_predicate"
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val EnableHssPredicate = "post_nux_ml_flow_enable_hss_predicate"
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val GetFollowersFromSgs = "post_nux_ml_flow_get_followers_from_sgs"
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val TurnOffMLScorerQFThreshold = "post_nux_ml_flow_turn_off_ml_scorer_threhsold"
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val TurnOffMLScorerQFThreshold = "post_nux_ml_flow_turn_off_ml_scorer_threshold"
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}
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@ -16,7 +16,7 @@ import com.twitter.logging.LoggerFactory
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import com.twitter.product_mixer.core.model.marshalling.request.ClientContext
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import com.twitter.product_mixer.core.model.marshalling.request.HasClientContext
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import com.twitter.scribelib.marshallers.ClientDataProvider
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import com.twitter.scribelib.marshallers.ExternalRefererDataProvider
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import com.twitter.scribelib.marshallers.ExternalReferrerDataProvider
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import com.twitter.scribelib.marshallers.ScribeSerialization
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import com.twitter.timelines.configapi.HasParams
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import com.twitter.util.Time
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@ -125,7 +125,7 @@ object FrsLogger {
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/** The id of the current user. When the user is logged out, this method should return None. */
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override val userId: Option[Long] = clientContext.userId
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/** The id of the guest, which is present in logged-in or loged-out states */
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/** The id of the guest, which is present in logged-in or logged-out states */
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override val guestId: Option[Long] = clientContext.guestId
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/** The personalization id (pid) of the user, used to personalize Twitter services */
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@ -153,12 +153,12 @@ object FrsLogger {
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override val isSsl: Option[Boolean] = Some(true)
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/** The referring URL to the current page for web-based clients, if applicable */
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override val referer: Option[String] = None
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override val referrer: Option[String] = None
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/**
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* The external site, partner, or email that lead to the current Twitter application. Returned value consists of a
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* tuple including the encrypted referral data and the type of referral
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*/
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override val externalReferer: Option[ExternalRefererDataProvider] = None
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override val externalReferrer: Option[ExternalReferrerDataProvider] = None
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}
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}
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@ -8,7 +8,7 @@ object FlagsModule extends TwitterModule {
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)
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flag[Boolean](
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name = "interests_opt_out_prod_enabled",
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help = "Whether to fetch intersts opt out data from the prod strato column or not"
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help = "Whether to fetch interests opt out data from the prod strato column or not"
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)
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flag[Boolean](
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name = "log_results",
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@ -98,8 +98,8 @@ trait ScribeClientEventSideEffect[
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override val languageCode = query.clientContext.languageCode
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override val userAgent = query.clientContext.userAgent
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override val isSsl = None
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override val referer = None
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override val externalReferer = None
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override val referrer = None
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override val externalReferrer = None
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}
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}
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}
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