eC      !"#$%&'()*+,-./0123456789:;<=>?@ABNone@ Normalize the input by?removing non-word characters, except for spaces and commas; and.converting alphabetic characters to lowercase.Return n! characters starting from offset m in the input string.Insert the character ch. at the beginning and end of the input string.Returns the euclidian norm, or  magnitude:, of the input list interpreted as a vector. That is,  \sqrt{ \sum_{i=0}^n a_i^2 }  for the input & \langle a_0, a_1, \dots, a_n \rangle  where  a_i  is the element at position i in the input list.CReturn the normalized Levenshtein distance between the two strings. (<$$>) = fmap " fmap Empty HashMapUnicode minus sign symbol. Slightly longer than the hyphen-minus commonly used, U+2212 aligns naturally with the horizontal bar of the + symbol.6Another unicode operator. This one for multiplication. Length of the substringA character offset mThe input stringA substring of length n   None@'Opaque fuzzy string set data type. Use , , or  to create s.'Type alias for representing gram sizes."A ! with the following field values: { gramSizeLower = 2 , gramSizeUpper = 3 , useLevenshtein = True , exactSet =  , matchDict =  , items =  }#See ".  !"#  !" !# "   !"#None+,-./012XCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~+,-./012./+0,-21+,-./012None!":@6!Normalize the input string, call 7@ on the normalized input, and then translate the result to a  with the n-grams as keys and ^ values corresponding to the number of occurences of the key in the generated gram list.gramMap "xxxx" 2'fromList [("-x",1), ("xx",3), ("x-",1)]oData.HashMap.Strict.lookup "nts" (gramMap "intrent'srestaurantsomeoftrent'saunt'santswantsamtorentsomepants" 3)Just 877Break apart the normalized input string into a list of n-grams. For instance, the string "Destroido Corp." is first normalized into the form "destroido corp", and then enclosed in hyphens, so that it becomes "-destroido corp-". The 30-grams generated from this normalized string are `"-de", "des", "est", "str", "tro", "roi", "oid", "ido", "do ", "o c", " co", "cor", "orp", "rp-"$Given a normalized string of length s&, we take all substrings of length n , letting the offset range from 0 \text{ to } s + 2 " n. The number of n)-grams for a normalized string of length s is thus s + 2 " n + 1 = s " n + 3, where  0 < n < s " 2.3456An input stringThe gram size n, which must be at least 2A mapping from nN-gram keys to the number of occurrences of the key in the list returned by 7 (i.e., the list of all n5-length substrings of the input enclosed in hyphens).7An input string The variable n, which must be at least 2A k-length list of grams of size n , with  k = s " n + 3345673456734567(c) 2017 Johannes HildnBSD3hildenjohannes@gmail.com experimentalGHCNone!"@ 8 Initialize a .9Try to match the given string against the entries in the set, and return a list of all results with a score greater than or equal to the specified minimum score (i.e., the first argument). The results are ordered by similarity score, with the closest match first.:Try to match the given string against the entries in the set, using a minimum score of 0.33. Return a list of results ordered by similarity score, with the closest match first.;oTry to match the given string against the entries in the set, and return the closest match, if one is found.<mAdd an entry to the set, or do nothing if a key identical to the provided value already exists in the set.=}Add an entry to the set and return a pair with the new set, and a boolean to indicate if a new entry was inserted, or not.>-Add a list of entries to the set, in one go. addMany = foldr (flip add)?;Create a fuzzy string set with entries from the given list. fromList = addMany defaultSet@(Return the number of entries in the set.)size (defaultSet `add` "map" `add` "cap")2A>Return a boolean indicating whether the provided set is empty.isEmpty (fromList [])TrueBReturn the elements of the set.Svalues (fromList ["bass", "craze", "space", "lace", "daze", "haze", "ace", "maze"]):["space","daze","bass","maze","ace","craze","lace","haze"] 80The lower bound of gram sizes to use (inclusive)0The upper bound of gram sizes to use (inclusive)Whether to use  lhttps://people.cs.pitt.edu/~kirk/cs1501/Pruhs/Spring2006/assignments/editdistance/Levenshtein%20Distance.htmLevenshtein distance to determine the scoreAn empty fuzzy string set 9A minimum score2The fuzzy string set to compare the string againstThe lookup query1A list of results (score and matched value pairs):2The fuzzy string set to compare the string againstThe lookup query1A list of results (score and matched value pairs);2The fuzzy string set to compare the string againstThe lookup query) the result, if one was found, otherwise <$Fuzzy string set to add the entry to The new entryThe updated set=$Fuzzy string set to add the entry to The new entry-The updated set and a boolean, which will be ; if, and only if, the value was not already in the set >&Fuzzy string set to add the entries toA list of new entriesA new fuzzy string set?@AB"89:;<=>?@AB8"?<=>:9;@AB 89:;<=>?@AB      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gramSizeLower gramSizeUpperuseLevenshteinexactSet matchDictitemsItemMap MatchDictExactSetSizeGramInfo itemIndex gramCount FuzzySetItemvectorMagnitudenormalizedEntry$fDefaultFuzzySet$fEqFuzzySetItem$fShowFuzzySetItem $fEqGramInfo$fShowGramInfo $fEqFuzzySet$fShowFuzzySet$fShowGetContext _exactSet_gramSizeLower_gramSizeUpper_items _matchDict_useLevenshtein_normalizedEntry_vectorMagnitudegetMatchresultsmatchesgramMapgramsgetWithMinScoregetgetOneaddaddToSetaddManysizeisEmptyvaluesbaseData.Traversable Traversabletraverse(contravariant-1.4-2ZEIQcIYz4Q4N5hzlLOWcgData.Functor.Contravariant Contravariant contramap>$Data.Functor.IdentityIdentity runIdentityData.Bifunctor BifunctorbimapData.Functor.ConstConstgetConst Data.Function&"lens-4.15.4-KUno97tdZMYJKCU13eoExKControl.Lens.THdefaultFieldRulesmakeFieldsNoPrefix makeFieldsabbreviatedNamerabbreviatedFieldsclassUnderscoreNoPrefixNamerclassUnderscoreNoPrefixFieldscamelCaseNamercamelCaseFieldsunderscoreNamerunderscoreFields 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LensLike'IndexedLensLikeIndexedLensLike'OverOver'Control.Lens.Internal.ContextContextContext'Control.Lens.Internal.IndexedasIndex withIndex indexing64indexing Conjoineddistrib conjoined IndexableindexedIndexed runIndexedControl.Lens.Internal.Fold Traversed SequencedLeftmost RightmostControl.Lens.Internal.LevelLevelControl.Lens.Internal.Reviewretagged ReviewableControl.Lens.Internal.SetterSettable*semigroupoids-5.2.1-IU4HpkwGPL3Fx514WC3V5V Data.Semigroup.Traversable.Class Traversable1 traverse1'reflection-2.1.2-1Oix9U9tVVU4sCEhxeh8KrData.ReflectionfoldBy foldMapBy traverseBy sequenceBy(profunctors-5.2.1-CFr6KqqtvUeJo7vNQHItUIData.Profunctor.Unsafe ProfunctorrmaplmapdimapData.Profunctor.ChoiceChoiceright'left'3unordered-containers-0.2.8.0-9vyhLlLaqmyDfOnbawvdcQData.HashMap.BaseHashMapghc-prim GHC.TypesIntGHC.BaseJustNothingTrue