h*4H2W      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ0.3.2 Safe-Inferred88 Safe-Inferred%& fuzzysetAn individual result when looking up a string in the set, consisting of a similarity score in the range [0, 1], andthe matching string.fuzzyset Main fuzzy string set data type. fuzzyset,Lower bound on gram sizes to use (inclusive) fuzzyset,Upper bound on gram sizes to use (inclusive) fuzzysetWhether or not to use the Levenshtein distance to determine the scorefuzzysetGenerate a list of n-grams (character substrings) from the normalized input and then translate this into a dictionary with the n-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-"]Data.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: [ "-de" , "des" , "est" , "str" , "tro" , "roi" , "oid" , "ido" , "do " , "o c" , " co" , "cor" , "orp" , "rp-" ]fuzzysetNormalize the input by?removing non-word characters, except for spaces and commas; and.converting alphabetic characters to lowercase.fuzzysetReturn 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.fuzzysetReturn the normalized Levenshtein distance between the two strings.See  2https://en.wikipedia.org/wiki/Levenshtein_distance.  '(c) 2017-present Heikki Johannes HildnBSD3hildenjohannes@gmail.com experimentalGHC Safe-Inferred%&%fuzzysetInitialize an empty .&fuzzyset An empty  with the following defaults:Gram size lower: 2Gram size upper: 3Use Levenshtein distance: True'fuzzysetTry 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, with the closest match first.(fuzzysetTry 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.)fuzzysetTry to match the given string against the entries in the set using the specified minimum score and return the string that most closely matches the input, if a match is found.*fuzzysetTry 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 '4 if you need to specify a custom threshold value.+fuzzysetTry 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 custom threshold value, instead use (.,fuzzysetTry to match the given string against the entries in the set, and return the string that most closely matches the input, if a match is found. A minimum score of 0.33 is used. To specify a custom threshold value, instead use ).-fuzzysetAdd a string to the set, unless it is already present. A pair is returned consisting of a boolean which denotes whether or not anything was inserted, and the updated set..fuzzysetAdd a string to the set, or do nothing if a key that matches the string already exists./fuzzyset#Infix operator to add entries to a  , defined as flip add.0fuzzyset.Add a list of strings to the set, all at once.Unless you need to know the subset of values that were actually inserted, use 1 instead.1fuzzyset.Add a list of strings to the set, all at once.This function is identical to 0, except that it only returns the set itself. If you need to know what values were inserted, then use the latter instead.2fuzzysetCreate a new set from a list of entries, using the default settings.3fuzzysetReturn the elements of the set. No particular order is guaranteed.values (fromList ["bass", "craze", "space", "lace", "daze", "haze", "ace", "maze"]):["space","daze","bass","maze","ace","craze","lace","haze"]4fuzzyset(Return the number of entries in the set.%size (defaultSet >+< "map" >+< "cap")22size (defaultSet >+< "bork" >+< "bork" >+< "bork")15fuzzyset5Return a boolean indicating whether the set is empty.isEmpty (fromList [])True1isEmpty $ fromList ["Aramis", "Porthos", "Athos"]False %fuzzyset,Lower bound on gram sizes to use (inclusive)fuzzyset,Upper bound on gram sizes to use (inclusive)fuzzysetWhether or not to use the  https://people.cs.pitt.edu/~kirk/cs1501/Pruhs/Spring2006/assignments/editdistance/Levenshtein%20Distance.htmLevenshtein distance to determine the scorefuzzysetAn empty fuzzy string set'fuzzysetA minimum scorefuzzysetThe string to search forfuzzyset2The fuzzy string set to compare the string againstfuzzyset+A list of results (score and matched value)(fuzzysetA minimum scorefuzzysetThe string to search forfuzzyset2The fuzzy string set to compare the string againstfuzzyset"The closest match, if one is found)fuzzysetA minimum scorefuzzysetThe string to search forfuzzyset2The fuzzy string set to compare the string againstfuzzyset?The string most closely matching the input, if a match is found*fuzzysetThe string to search forfuzzyset2The fuzzy string set to compare the string againstfuzzyset+A list of results (score and matched value)+fuzzysetThe string to search forfuzzyset2The fuzzy string set to compare the string againstfuzzyset"The closest match, if one is found,fuzzysetThe string to search forfuzzyset2The fuzzy string set to compare the string againstfuzzyset?The string most closely matching the input, if a match is found-fuzzyset The new entryfuzzyset$Fuzzy string set to add the entry tofuzzysetA flag to indicate if the value was added (i.e., did not already exist in the set), and the updated set..fuzzyset The new entryfuzzysetSet to add the string tofuzzysetAn updated set/fuzzysetSet to add the string tofuzzyset The new entryfuzzysetAn updated set0fuzzyset#A list of strings to add to the setfuzzysetThe set to add the strings tofuzzysetA pair where the first component is a list of all values that were inserted, and the second is the updated set.1fuzzyset#A list of strings to add to the setfuzzysetThe set to add the strings tofuzzysetThe updated set2fuzzyset,A list of strings to insert into the new setfuzzysetA new fuzzy string set%&2-.01/'()*+,345%&2-.01/'()*+,345/4 Safe-Inferred1Q7fuzzyset8Add a string to the set. A boolean is returned which is True# if the string was inserted, or False" if it already existed in the set.9fuzzysetFuzzySearch monad:fuzzysetFuzzySearch monad transformer=fuzzyset Evaluate a :$ computation with the given options.>fuzzyset Evaluate a :) computation with the following defaults:Gram size lower: 2Gram size upper: 3Use Levenshtein distance: True?fuzzyset Evaluate a 9$ computation with the given options.@fuzzyset Evaluate a 9) computation with the following defaults:Gram size lower: 2Gram size upper: 3Use Levenshtein distance: TrueAfuzzysetAdd a string to the set, or do nothing if a key that matches the string already exists.This function is identical to 7, except that the latter returns a boolean to indicate whether any new value was added.Bfuzzyset.Add a list of strings to the set, all at once.Unless you need to know the subset of values that were actually inserted, use C instead.Cfuzzyset.Add a list of strings to the set, all at once.This function is identical to B, except that the latter returns a list of all values that were inserted.DfuzzysetTry 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 84 if you need to specify a custom threshold value.EfuzzysetTry 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.FfuzzysetTry 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 custom threshold value, instead use E.GfuzzysetTry to match the given string against the entries in the set using the specified minimum score and return the string that most closely matches the input, if a match is found.HfuzzysetTry to match the given string against the entries in the set, and return the string that most closely matches the input, if a match is found. A minimum score of 0.33 is used. To specify a custom threshold value, instead use G.IfuzzysetReturn the elements of the set. No particular order is guaranteed.Jfuzzyset(Return the number of entries in the set.Kfuzzyset5Return a boolean indicating whether the set is empty. 7fuzzyset The new entryfuzzysetA flag to indicate whether the value was added (i.e., did not already exist in the set) | 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, with the closest match first.8fuzzysetA minimum scorefuzzysetThe string to search forfuzzyset+A list of results (score and matched value)=fuzzyset,Lower bound on gram sizes to use (inclusive)fuzzyset,Upper bound on gram sizes to use (inclusive)fuzzysetWhether or not to use the Levenshtein distance to determine the scorefuzzyset8The result of running the computation in the inner monad?fuzzyset,Lower bound on gram sizes to use (inclusive)fuzzyset,Upper bound on gram sizes to use (inclusive)fuzzysetWhether or not to use the Levenshtein distance to determine the scorefuzzyset%The result of running the computationBfuzzyset#A list of strings to add to the setfuzzyset#A list of values that were insertedCfuzzyset#A list of strings to add to the setDfuzzysetThe string to search forfuzzyset+A list of results (score and matched value)EfuzzysetA minimum scorefuzzysetThe string to search forfuzzyset"The closest match, if one is foundFfuzzysetThe string to search forfuzzyset"The closest match, if one is foundGfuzzysetA minimum scorefuzzysetThe string to search forfuzzyset?The string most closely matching the input, if a match is foundHfuzzysetThe string to search forfuzzyset?The string most closely matching the input, if a match is found678AIBCDFEHGJK:;<9=>?@7A8IBCDFEHGJK:;<9=>?@6'(c) 2017-present Heikki Johannes HildnBSD3hildenjohannes@gmail.com experimentalGHC Safe-Inferred19678?@:=>ABCDFEGHIJK96?@:=>7ABCD8FEGHIJK  Safe-Inferred2J[\]^_`ab     !"#$%&'()*+,-./0123456789:;<4-=>>?@ABC7 0.1/29:;DEFGHIJKLMNOPQR S T U V W X Y Z%fuzzyset-0.3.2-5iG8SyFfKXwLXhKWm9SamrData.FuzzySet.UtilsData.FuzzySet.InternalData.FuzzySet.SimpleData.FuzzySet.MonadfuzzysetData.FuzzySet.Util normalized Data.FuzzySetPaths_fuzzyset<$$><$$$>safeHead enclosedInsubstr FuzzyMatchFuzzySetexactSet matchDictitems gramSizeLower gramSizeUpperuseLevenshteinGramInfo itemIndex gramCount FuzzySetItemvectorMagnitudenormalizedEntrymatches getMatchesadd_addMany_ gramVectorgramsnormdistance $fEqFuzzySet$fShowFuzzySet $fEqGramInfo$fShowGramInfo$fEqFuzzySetItem$fShowFuzzySetItememptySet defaultSetfindMin findOneMinclosestMatchMinfindfindOne closestMatchaddToSetadd>+< addManyToSetaddManyfromListvaluessizeisEmptyMonadFuzzySearch FuzzySearch FuzzySearchTgetFuzzySearchTrunFuzzySearchTrunDefaultFuzzySearchTrunFuzzySearchrunDefaultFuzzySearch$fMonadTransFuzzySearchT$fMonadFuzzySearchSelectT$fMonadFuzzySearchContT$fMonadFuzzySearchMaybeT$fMonadFuzzySearchWriterT$fMonadFuzzySearchReaderT$fMonadFuzzySearchExceptT$fMonadFuzzySearchStateT$fMonadFuzzySearchFuzzySearchT$fFunctorFuzzySearchT$fApplicativeFuzzySearchT$fMonadFuzzySearchT $fMonadStateFuzzySetFuzzySearchT$fMonadIOFuzzySearchT$fMonadFixFuzzySearchTversion getBinDir getLibDir getDynLibDir getDataDir getLibexecDirgetDataFileName getSysconfDir