Îõ³h$ű.      !"#$%&'()*+,-NoneGfuzzyset%Main fuzzy string set data type. Use , , or  to create sets.   None#fuzzysetNormalize the input by?removing non-word characters, except for spaces and commas; and.converting alphabetic characters to lowercase.fuzzysetReturn n! characters starting from offset m in the input string.fuzzysetÀInsert a character at the beginning and end of the given string.fuzzysetReturns the euclidean norm, or  magnitude-, of the input list interpreted as a vector.That is,# \quad \sqrt{ \sum_{i=0}^n a_i^2 }  for the input, \quad \langle a_0, a_1, \dots, a_n \rangle where  a_i  is the element at position i in the input list.fuzzysetÉReturn the normalized Levenshtein distance between the two strings. See  2https://en.wikipedia.org/wiki/Levenshtein_distance.fuzzysetLength of the substringfuzzysetThe character offset mfuzzysetThe input stringfuzzysetA substring of length nNone #$#fuzzysetÁAlternative syntax for the reverse function application operator (&), known also as the pipe operator.fuzzyset•Dot products used to compute the cosine similarity, which is the similarity score assigned to entries that match the search string in the fuzzy set.fuzzysetýThis function performs the actual task of querying a set for matches, supported by the other functions in this module. See  Data-FuzzySet.html#g:8Implementation for an explanation.fuzzysetGenerate a list of nì-grams (character substrings) from the normalized input and then translate this into a dictionary with the nÑ-grams as keys mapping to the number of occurences of the substring in the list.gramVector "xxxx" 2'fromList [("-x",1), ("xx",3), ("x-",1)]The substring "xx". appears three times in the normalized string:grams "xxxx" 2["-x","xx","xx","xx","x-"]òData.HashMap.Strict.lookup "nts" (gramVector "intrent'srestaurantsomeoftrent'saunt'santswantsamtorentsomepants" 3)Just 8fuzzyset,Break apart the input string into a list of n-grams. The string is first  and enclosed in hyphens. We then take all substrings of length n!, letting the offset range from 0 \text{ to } s + 2 ’D n, where s' is the length of the normalized input.Example: The string "Destroido Corp." is first normalized to "destroido corp"4, and then enclosed in hyphens, so that it becomes "-destroido corp-":. The trigrams generated from this normalized string are: ñ[ "-de" , "des" , "est" , "str" , "tro" , "roi" , "oid" , "ido" , "do " , "o c" , " co" , "cor" , "orp" , "rp-" ]fuzzysetThe string setfuzzysetÂA sparse vector representation of the search string (generated by )fuzzysetîA mapping from item index to the dot product between the corresponding entry of the set and the search stringfuzzysetThe string setfuzzysetA string to search forfuzzyset Minimum scorefuzzysetThe gram size n, which must be at least 2fuzzyset+A list of results (score and matched value)fuzzysetAn input stringfuzzysetThe gram size n, which must be at least 2fuzzysetÛA sparse vector with the number of times a substring occurs in the normalized input stringfuzzysetAn input stringfuzzysetThe gram size n, which must be at least 2fuzzyset A list of n-grams1(c) 2017-2019 Johannes HildénBSD3hildenjohannes@gmail.com experimentalGHCNone#$a fuzzysetInitialize an empty .!fuzzyset An empty  with the following defaults:Gram size lower: 2Gram size upper: 3Use Levenshtein distance: True"fuzzyset‚Try to match a 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.#fuzzyset·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. Use ") to specify a different threshold value.$fuzzysetŽTry to match the given string against the entries in the set using the specified minimum score and return the closest match, if one is found.%fuzzysetÄTry to match the given string against the entries in the set, and return the closest match, if one is found. A minimum score of 0.33 is used. To specify a different threshold value, instead use $.&fuzzysetãAdd an entry to the set, or do nothing if a key that matches the string already exists in the set.'fuzzysetžAdd an entry, unless it is already present in the set. A pair is returned with the new set and a boolean which denotes whether or not anything was inserted.(fuzzyset,Add a list of entries to the set, in one go. addMany = foldr (flip add))fuzzysetÀCreate a set from a list of entries, using the default settings. fromList = addMany defaultSet*fuzzyset(Return the number of entries in the set.)size (defaultSet `add` "map" `add` "cap")28size (defaultSet `add` "bork" `add` "bork" `add` "bork")1+fuzzyset5Return a boolean indicating whether the set is empty.isEmpty (fromList [])True1isEmpty $ fromList ["Aramis", "Porthos", "Athos"]False,fuzzysetÂReturn the elements of the set. No particular order is guaranteed.Óvalues (fromList ["bass", "craze", "space", "lace", "daze", "haze", "ace", "maze"]):["space","daze","bass","maze","ace","craze","lace","haze"]-fuzzysetSee !. fuzzyset,Lower bound on gram sizes to use (inclusive)fuzzyset,Upper bound on gram sizes to use (inclusive)fuzzysetWhether or not to use the  ìhttps://people.cs.pitt.edu/~kirk/cs1501/Pruhs/Spring2006/assignments/editdistance/Levenshtein%20Distance.htmLevenshtein distance to determine the scorefuzzysetAn empty fuzzy string set"fuzzysetA minimum scorefuzzyset2The fuzzy string set to compare the string againstfuzzysetThe string to search forfuzzyset+A list of results (score and matched value)#fuzzyset2The fuzzy string set to compare the string againstfuzzysetThe string to search forfuzzyset+A list of results (score and matched value)$fuzzysetA minimum scorefuzzyset2The fuzzy string set to compare the string againstfuzzysetThe string to search forfuzzyset"The closest match, if one is found%fuzzyset2The fuzzy string set to compare the string againstfuzzysetThe string to search forfuzzyset"The closest match, if one is found&fuzzysetSet to add the string tofuzzyset The new entryfuzzysetAn updated set'fuzzyset$Fuzzy string set to add the entry tofuzzyset The new entryfuzzyset-The updated set and a boolean, which will be .7 if, and only if, the value was not already in the set !"#$%&'()*+, !)&'(#"%$*+, Safe-Inferred¤/01234567       !"#$%&'()*+,-./0123456789:;<%fuzzyset-0.2.2-8GvRyex9TpRC7jp0FdjZpUData.FuzzySet.TypesData.FuzzySet.UtilData.FuzzySet.Internal Data.FuzzySetemptySet defaultSetfromListPaths_fuzzysetFuzzySetexactSet matchDictitems gramSizeLower gramSizeUpperuseLevenshteinGramInfo itemIndex gramCount FuzzySetItemvectorMagnitudenormalizedEntry $fEqFuzzySet$fShowFuzzySet $fEqGramInfo$fShowGramInfo$fEqFuzzySetItem$fShowFuzzySetItem normalizedsubstr enclosedInnormdistance|>matches getMatches gramVectorgramsgetWithMinScoregetgetOneWithMinScoregetOneaddaddToSetaddManysizeisEmptyvalues$fDefaultFuzzySetghc-prim GHC.TypesTrueversion getBinDir getLibDir getDynLibDir getDataDir getLibexecDir getSysconfDirgetDataFileName